Raman Spectral Feature Enhancement Framework for Complex Multiclassification Tasks.

Raman spectroscopy enables label-free clinical diagnosis in a single step. However, identifying an individual carrying a specific disease from people with a multi-disease background is challenging. To address this, we developed a Raman spectral implicit feature augmentation with a Raman Intersection, Union, and Subtraction augmentation strategy (RIUS).

GD-Net: An Integrated Multimodal Information Model Based on Deep Learning for Cancer Outcome Prediction and Informative Feature Selection.

Multimodal information provides valuable resources for cancer prognosis and survival prediction. However, the computational integration of this heterogeneous data information poses significant challenges due to the complex interactions between molecules from different biological modalities and the limited sample size. Here, we introduce GD-Net, a Graph Deep learning algorithm to enhance the accuracy of survival prediction with an average accuracy of 72% by early fusing of multimodal information, which includes an interpretable and lightweight XGBoost module to efficiently extract informative features.

Biodegradable Janus sonozyme with continuous reactive oxygen species regulation for treating infected critical-sized bone defects.

Critical-sized bone defects are usually accompanied by bacterial infection leading to inflammation and bone nonunion. However, existing biodegradable materials lack long-term therapeutical effect because of their gradual degradation. Here, a degradable material with continuous ROS modulation is proposed, defined as a sonozyme due to its functions as a sonosensitizer and a nanoenzyme.

Investigating the environmental dynamics of emerging pollutants in response to global climate change: Insights from bibliometrics-based visualization analysis.

The environmental dynamics of emerging pollutants were profoundly influenced by global climate change, attracting widespread attention to this complex interaction. However, single studies or reviews were insufficient to grasp, clarify, and predict the evolutionary characteristics and coupling patterns of emerging pollutants under global climate change. Here, 2389 research articles collected from the Web of Science Core Collection database for the period 2000-2023 were analyzed using systematic bibliometric visual analysis software.

MiR-223-3p Promotes Osteoporosis Progression by Repressing Osteogenic Differentiation via Targeting FHL1/Wnt/β-catenin Signaling.

The aim of this research was to unveil the potential along with potential mechanism of miR-223-3p in osteoporosis. RT-qPCR together with western blot was implemented to examine miR-223-3p, FHL1, along with osteogenic markers levels during bone marrow mesenchymal stem cells (BMSCs) differentiation. The ALP activity staining along with alizarin red staining (ARS) were implemented to assess ALP activity as well as the mineralization ability of BMSCs.

Multidimensional effects of green waste vermicomposting on cadmium contaminated soil ecosystems: From physicochemical properties to microbial communities.

Soil heavy metal pollution and green waste accumulation have emerged as two major environmental challenges, necessitating the development of sustainable remediation and management technologies. This study investigated the remediation effects of vermicomposted green waste (JE) on cadmium (Cd)-polluted soil. Batch adsorption tests and soil microcosm experiments were conducted to examine the impact of JE on soil quality, microbial community structure, and Cd biotransformation.

A Contrastive-Learning-Based Deep Neural Network for Cancer Subtyping by Integrating Multi-Omics Data.

Background: Accurate identification of cancer subtypes is crucial for disease prognosis evaluation and personalized patient management. Recent advances in computational methods have demonstrated that multi-omics data provides valuable insights into tumor molecular subtyping. However, the high dimensionality and small sample size of the data may result in ambiguous and overlapping cancer subtypes during clustering.

Comparative Evaluation of Chemical Composition and Nutritional Characteristics in Various Quinoa Sprout Varieties: The Superiority of 24-Hour Germination.

Quinoa ( Willd) sprouts are rich in bioactive compounds that offer numerous health benefits. However, limited research exists on their cultivation, nutritional value, and processing potential. This study compared the nutritional composition and antioxidant activity of quinoa sprouts from different varieties at various time points.

The association between appendicular skeletal muscle index and bone mineral density in children and adolescents with chronic kidney disease: A cross-sectional study.

Chronic kidney disease (CKD), a pervasive public health concern, can lead to complications like sarcopenia and reduced bone mineral density (BMD). However, it is still unclear exactly how muscle mass correlates with BMD in youngsters and adolescents with CKD. We aimed to investigate the association between appendicular skeletal muscle index (ASMI) and BMD among children and adolescents with CKD.

Engineered extracellular vesicles as therapeutics of degenerative orthopedic diseases.

Degenerative orthopedic diseases, as a global public health problem, have made serious negative impact on patients' quality of life and socio-economic burden. Traditional treatments, including chemical drugs and surgical treatments, have obvious side effects and unsatisfactory efficacy. Therefore, biological therapy has become the focus of researches on degenerative orthopedic diseases.

The role of extracellular vesicles in iron homeostasis and ferroptosis: Focus on musculoskeletal diseases.

Iron homeostasis is crucial for maintaining proper cellular function, and its disruption is considered one of the pathogenic mechanisms underlying musculoskeletal diseases. Under conditions of oxidative stress, the accumulation of cellular iron overload and lipid peroxidation can lead to ferroptosis. Extracellular vesicles (EVs), serving as mediators in the cell-to-cell communication, play an important role in regulating the outcome of cell ferroptosis.

Hypobaric Hypoxia Aggravates Renal Injury by Inducing the Formation of Neutrophil Extracellular Traps through the NF-κB Signaling Pathway.

Objective: The hypersensitivity of the kidney makes it susceptible to hypoxia injury. The involvement of neutrophil extracellular traps (NETs) in renal injury resulting from hypobaric hypoxia (HH) has not been reported. In this study, we aimed to investigate the expression of NETs in renal injury induced by HH and the possible underlying mechanism.

Identification of AGXT2, SHMT1, and ACO2 as important biomarkers of acute kidney injury by WGCNA.

Acute kidney injury (AKI) is a serious and frequently observed disease associated with high morbidity and mortality. Weighted gene co-expression network analysis (WGCNA) is a research method that converts the relationship between tens of thousands of genes and phenotypes into the association between several gene sets and phenotypes. We screened potential target genes related to AKI through WGCNA to provide a reference for the diagnosis and treatment of AKI.

Rosiglitazone attenuates hypoxia-induced renal cell apoptosis by inhibiting NF-κB signaling pathway in a PPARγ-dependent manner.

Background: In recent years, peroxisome proliferator-activated receptor γ (PPARγ) has been found to be closely associated with hypoxia renal disease. The aim of this study was to investigate the relationship between rosiglitazone and mitochondrial apoptosis in renal tissue and its associated mechanisms.

Methods: Twenty-four male Sprague-Dawley rats were randomly divided into three groups ( = 8 in each): normal control group, hypoxia injury group (equal volume of 0.

SOLO-SLAM: A Parallel Semantic SLAM Algorithm for Dynamic Scenes.

Simultaneous localization and mapping (SLAM) is a core technology for mobile robots working in unknown environments. Most existing SLAM techniques can achieve good localization accuracy in static scenes, as they are designed based on the assumption that unknown scenes are rigid. However, real-world environments are dynamic, resulting in poor performance of SLAM algorithms.

Tunable Luminescence and Energy Transfer of SrBO:Ce, Sm Phosphors with Potential Anti-Counterfeiting Applications.

Sm and Ce singly doped and Sm and Ce co-doped SrBO phosphors are prepared via a high-temperature solid-state reaction method. The crystal structure and phase purity are characterized by X-ray diffraction (XRD) analyses. The Sm-doped sample displays an emission in the orange-red region, with the strongest emission line at about 648 nm and possessing a good luminescence thermal stability between 78 and 500 K.

ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation.

Segmentation of skin lesions is a challenging task because of the wide range of skin lesion shapes, sizes, colors, and texture types. In the past few years, deep learning networks such as U-Net have been successfully applied to medical image segmentation and exhibited faster and more accurate performance. In this paper, we propose an extended version of U-Net for the segmentation of skin lesions using the concept of the triple attention mechanism.

Shielding Polysulfide Intermediates by an Organosulfur-Containing Solid Electrolyte Interphase on the Lithium Anode in Lithium-Sulfur Batteries.

The lithium-sulfur (Li-S) battery is regarded as a promising high-energy-density battery system, in which the dissolution-precipitation redox reactions of the S cathode are critical. However, soluble Li polysulfides (LiPSs), as the indispensable intermediates, easily diffuse to the Li anode and react with the Li metal severely, thus depleting the active materials and inducing the rapid failure of the battery, especially under practical conditions. Herein, an organosulfur-containing solid electrolyte interphase (SEI) is tailored for the stabilizaiton of the Li anode in Li-S batteries by employing 3,5-bis(trifluoromethyl)thiophenol as an electrolyte additive.

[Stiletto needle combined with massotherapy for pain in patients with knee osteoarthritis].

Objective: To compare the clinical effect between Stiletto needle combined with massotherapy and articular injection of sodium hyaluronate for pain in patients with knee osteoarthritis (KOA).

Methods: A total of 156 patients with KOA were randomly divided into an observation group and a control group, 78 cases in each group. The patients in the observation group were treated with Stiletto needle (once a week) combined with massotherapy (twice a week); the patients in the control group were treated with articular injection of sodium hyaluronate (once a week).

Mononuclear and trinuclear Dy SMMs with Schiff-base ligands modified by nitro-groups: first triangular complex with a N-N pathway.

Using two Schiff-base ligands containing an electron-withdrawing group (NO2), we obtained two mononuclear and two trinuclear complexes with the general formula [Dy(hni)(NO3)(DMF)2]·DMF (1·DMF), [Dy(hni)2(H2O)2]·NO3·EtOH (2·NO3·EtOH), [Dy3(hnc)3(DMF)6] (3) and [Gd3(hnc)3(DMF)6] (4) (H-hni: 2-(hydroxyl-3-methoxy-5-nitrophenyl)methylene(isonictino)hydrazine and H3-hnc: 1,5-bis(2-hydroxy-3-methoxy-5-nitrobenzylidene)carbonohydrazide). Four complexes were confirmed by infrared spectroscopy and single-crystal X-ray diffraction. The crystal structure of complex 3 reveals that the modified Schiff-base ligand provides two different tridentate coordination pockets (ONN and ONO) to encapsulate DyIII with a unique N-N pathway.

Integrated analysis of co-expression and ceRNA network identifies five lncRNAs as prognostic markers for breast cancer.

Long non-coding RNAs (lncRNAs), which competitively bind miRNAs to regulate target mRNA expression in the competing endogenous RNAs (ceRNAs) network, have attracted increasing attention in breast cancer research. We aim to find more effective therapeutic targets and prognostic markers for breast cancer. LncRNA, mRNA and miRNA expression profiles of breast cancer were downloaded from TCGA database.

Biomarker expression analysis in different age groups revealed age was a risk factor for breast cancer.

The relationship between age and breast cancer is ambiguous. Here, we analyzed the differential expression pattern of long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) in different age groups to provide an effective association between age and breast cancer risk at the molecular level. We integrated the microarray information from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data sets.

A Policy for Optimizing Sub-Band Selection Sequences in Wideband Spectrum Sensing.

With the development of wireless communication technology, cognitive radio needs to solve the spectrum sensing problem of wideband wireless signals. Due to performance limitation of electronic components, it is difficult to complete spectrum sensing of wideband wireless signals at once. Therefore, it is required that the wideband wireless signal has to be split into a set of sub-bands before the further signal processing.

Lithium-Sulfur Batteries under Lean Electrolyte Conditions: Challenges and Opportunities.

The development of energy-storage devices has received increasing attention as a transformative technology to realize a low-carbon economy and sustainable energy supply. Lithium-sulfur (Li-S) batteries are considered to be one of the most promising next-generation energy-storage devices due to their ultrahigh energy density. Despite the extraordinary progress in the last few years, the actual energy density of Li-S batteries is still far from satisfactory to meet the demand for practical applications.

Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks.

The cognitive wireless sensor network (CWSN) is an important development direction of wireless sensor networks (WSNs), and spectrum sensing technology is an essential prerequisite for CWSN to achieve spectrum sharing. However, the existing non-cooperative narrowband spectrum sensing technology has difficulty meeting the application requirements of CWSN at present. In this paper, we present a non-cooperative spectrum sensing algorithm for CWSN, which combines the multi-resolution technique, phase space reconstruction method, and singular spectrum entropy method to sense the spectrum of narrowband wireless signals.