Research on seismic activity and seismic structural characteristics of the Shandong region.

This study provides a comprehensive analysis of seismic activity and structural characteristics in Shandong Province, China, with a focus on identifying seismic belts and potential epicentral zones critical for regional seismic safety. A detailed database was developed, integrating regional seismicity statistics, earthquake distribution patterns, significant geotectonic movements, and recent neotectonic activities. The results reveal that seismic activity in Shandong is heterogeneously distributed, with moderate to strong earthquakes predominantly associated with active fault zones and exhibiting zonal clustering.

Mendelian randomization-based observational cohort study on drug targets: Impact of antihypertensive and lipid-lowering therapies on inflammatory cytokines.

This study assesses the causal effects of antihypertensive and lipid-lowering drugs on inflammatory cytokines using a Mendelian randomization (MR) approach. We conducted a drug-targeted MR analysis using data from large-scale genome-wide association studies and eQTL datasets. SNPs near drug target genes served as instrumental variables to investigate the impact of antihypertensive (angiotensin-converting enzyme inhibitors [ACEIs], ARBs) and lipid-lowering drugs (HMGCR inhibitors, proprotein convertase subtilisin/Kexin type 9 [PCSK9] inhibitors, Niemann-Pick C1-like 1 inhibitors) on inflammatory cytokines.

Bacterial Cellulose-Based Superabsorbent Hydrogel for Wet Wound Dressing.

Absorption of exudates is crucial for moist wound treatment, particularly in chronic wound care applications. However, controlling wound exudates with current gel-based wound dressings has challenges, such as the risk of bacterial infection during long-term transportation and use. In this study, a bacterial cellulose (BC)/polyvinyl alcohol (PVA) composite hydrogel (PBC) was prepared by a simple method using citric acid (CA) as the crosslinking agent.

Peroxisome proliferator-activated receptor gamma mutation in familial partial lipodystrophy type three: A case report and review of literature.

Background: Familial partial lipodystrophy disease (FPLD) is a collection of rare genetic diseases featuring partial loss of adipose tissue. However, metabolic difficulties, such as severe insulin resistance, diabetes, hypertriglyceridemia, and hypertension frequently occur alongside adipose tissue loss, making it susceptible to misdiagnosis and delaying effective treatment. Numerous genes are implicated in the occurrence of FPLD, and genetic testing has been for conditions linked to single gene mutation related to FPLD.

Dialdehyde cellulose-based mixed-mode stationary phases for diversified high-performance liquid chromatography separations.

To deal with complicated separation situations, this study successfully prepared two mixed-mode chromatography (MMC) stationary phases, CCL-SIL and PCL-SIL, by functionalizing dialdehyde cellulose (DAC) derivatives. In liquid chromatography applications, CCL-SIL exhibited superior separation performance for nucleosides and bases in HILIC mode, while PCL-SIL performed better in RPLC and IEC modes. Their distinct separation mechanisms were also elucidated by quantum chemical calculations.

Comprehensive Potential of Artificial Intelligence for Predicting PD-L1 Expression and EGFR Mutations in Lung Cancer: A Systematic Review and Meta-Analysis.

Objective: To evaluate the methodological quality and the predictive performance of artificial intelligence (AI) for predicting programmed death ligand 1 (PD-L1) expression and epidermal growth factor receptors (EGFR) mutations in lung cancer (LC) based on systematic review and meta-analysis.

Methods: AI studies based on PET/CT, CT, PET, and immunohistochemistry (IHC)-whole-slide image (WSI) were included to predict PD-L1 expression or EGFR mutations in LC. The modified Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to evaluate the methodological quality.

Ultrasound-based deep learning radiomics nomogram for differentiating mass mastitis from invasive breast cancer.

Background: The purpose of this study is to develop and validate the potential value of the deep learning radiomics nomogram (DLRN) based on ultrasound to differentiate mass mastitis (MM) and invasive breast cancer (IBC).

Methods: 50 cases of MM and 180 cases of IBC with ultrasound Breast Imaging Reporting and Data System 4 category were recruited (training cohort, n = 161, validation cohort, n = 69). Based on PyRadiomics and ResNet50 extractors, radiomics and deep learning features were extracted, respectively.

Higher specific capacitance and compressibility nanocellulose based supercapacitor hydrogel electrode assembled by efficient impregnation.

The rational and effective combination of different electrochemical substances to prepare high-performance supercapacitor electrodes has been widely studied by researchers. Currently, most work focuses on polymerizing conductive polymers onto the surface of nanocellulose and carbon materials, and then preparing them into supercapacitor electrodes. This method is effective, but the process is cumbersome.

Causal relationship between systemic lupus erythematosus and primary liver cirrhosis based on two-sample bidirectional Mendelian randomization and transcriptome overlap analysis.

Background: Overlapping cases of systemic lupus erythematosus (SLE) and primary biliary cirrhosis (PBC) are rare and have not yet been fully proven to be accidental or have a common genetic basis.

Methods: Two-sample bidirectional Mendelian randomization (MR) analysis was applied to explore the potential causal relationship between SLE and PBC. The heterogeneity and reliability of MR analysis were evaluated through Cochran's Q-test and sensitivity test, respectively.

Visualized adsorption and enhanced photocatalytic removal of Cr by carbon dots-incorporated fluorescent nanocellulose aerogels.

In this study, carbon dots (CDs) and titanate nanofibers (TNs) were mixed with TEMPO-oxidized nanocellulose (TOCNC) to prepare fluorescent nanocellulose aerogels (FNAs) by a Schiff base reaction. The resulting FNA can detect the adsorption of Cr through the fluorescence quenching in CDs and promote the removal of Cr through the synergistic effect of CDs in photocatalysis. The optimized FNA has a maximum adsorption capacity of 543.

Wound Dressing Double-Crosslinked Quick Self-Healing Hydrogel Based on Carboxymethyl Chitosan and Modified Nanocellulose.

The use of hydrogels in wound dressings, which is pivotal for effective wound treatment, has been widely applied to diverse medical wound conditions. However, formulating natural hydrogels that combine robust strength and self-healing capabilities is a significant challenge. To overcome this, we successfully designed a natural nanocellulose self-healing hydrogel that can quickly self-heal and restore the complete hydrogel structure after injury to fill the injured area and protect the wound from external damage.

Facile preparation of nanocellulose/multi-walled carbon nanotube/polyaniline composite aerogel electrodes with high area-specific capacitance for supercapacitors.

As a natural biological macromolecule, nanocellulose is a promising substrate for high-performance supercapacitor electrodes. However, it shows that a low area-specific capacitance can limit its use. To strengthen the area-specific capacitance of nanocellulose-based composite aerogel electrodes to obtain high-performance supercapacitors, we combined the addition of conductive materials and physical cross-linking.

Probing the evolutionary mechanism of the hydrogen bond network of cellulose nanofibrils using three DESs.

Complex interactions between cellulose molecules and small molecules in Deep Eutectic Solvent (DES) systems can lead to dramatic changes in the structure of the hydrogen bond network in cellulose. However, the mechanism of interaction between cellulose and solvent molecules and the mechanism of evolution of hydrogen bond network are still unclear. In this study, cellulose nanofibrils (CNFs) were treated with DESs based on oxalic acid as hydrogen bond donors (HBD), and choline chloride, betaine, and N-methylmorpholine-N-oxide (NMMO) as hydrogen bond acceptors (HBA).

Copper(I)-Iodide Clusters as Carriers for Regulating and Visualizing Release of Aroma Molecules.

Achieving the controlled release of functional substances is indispensable in many aspects of life. Especially for the aroma molecules, their effective delivery of flavor and fragrance is challenging. Here, selected pyridines, as highly volatile odorants, were individually coordinated with copper(I) iodide (CuI) a straightforward one-pot synthesis method, rapidly forming pure or even crystalline CuI cluster-based profragrances at room temperature.

Nanocellulose-Based Adsorbents for Heavy Metal Ion.

Heavy metal ions in industrial sewage constitute a serious threat to human health. Nanocellulose-based adsorbents are emerging as an environmentally friendly material platform for heavy metal ion removal based on their unique properties, which include high specific surface area, excellent mechanical properties, and biocompatibility. In this review, we cover the most recent works on nanocellulose-based adsorbents for heavy metal ion removal and present an in-depth discussion of the modification technologies for nanocellulose in the process of assembling high-performance heavy ion adsorbents.

Efficient visual adsorption of Pb by nanocellulose/sodium alginate microspheres with fluorescence sensitivity.

In this study, carbon dots (CDs) were prepared by a one-pot hydrothermal method using tempo-oxidized cellulose nanocrystals (TOCNC) and polyethylenimine (PEI). The CDs were self-assembled with a microsphere adsorbent prepared using TOCNC and sodium alginate (SA). CDs-TOCNC/SA-an environmentally friendly, fluorescent-sensitive, and recyclable microsphere adsorbent-was obtained.

Dual-Modified Lignin-Assembled Multilayer Microsphere with Excellent Pb Capture.

With the continuous research on lignin-based sorbents, there are still limitations in the research of spherical sorbents with a high adsorption capacity for Pb2+. In order to solve the problem of low adsorption effect, alkali lignin (AL) was modified and assembled to increase the adsorption active sites. In this work, we used dual-modified lignin (DML) as a raw material to assemble a singular lignin-based multilayer microsphere (LMM) with sodium alginate (SA) and dopamine.

Nanoarchitectonics for High Adsorption Capacity Carboxymethyl Cellulose Nanofibrils-Based Adsorbents for Efficient Cu Removal.

In the present study, carboxymethyl cellulose nanofibrils (CMCNFs) with different carboxyl content (0.99-2.01 mmol/g) were prepared via controlling the ratio of monochloroacetic acid (MCA) and sodium hydroxide to Eucalyptus bleached pulp (EBP).

Effect of PRM1201 Combined With Adjuvant Chemotherapy on Preventing Recurrence and Metastasis of Stage III Colon Cancer: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial.

Background: Chemotherapy is the standard adjuvant treatment for colon cancer. Chinese herbal formula PRM1201 improves the efficacy of chemotherapy when used in combination with Cetuximab or Bevacizumab in patients with metastatic colorectal cancer. This study aims to explore the benefits of treatment with chemotherapy plus PRM1201 in the postoperative adjuvant setting.

Traditional Chinese Medicine Combined With Chemotherapy and Cetuximab or Bevacizumab for Metastatic Colorectal Cancer: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial.

Background: Huangci Granule is a traditional Chinese medicine for treating metastatic colorectal cancer (mCRC).

Objective: To evaluate the efficacy and safety of Huangci Granule combination with chemotherapy and cetuximab (CET) or bevacizumab (BV) for treating mCRC.

Methods: We performed a randomized, controlled, and double-blind trial and recruited patients with mCRC who were planned to undergo chemotherapy combined with CET or BV.

Preparation of dummy molecularly imprinted polymers for extraction of Zearalenone in grain samples.

Surface molecularly imprinted polymers (MIL-101@MIPs) were prepared using MIL-101 as supporting core, imprinted polymers as selective shell synthesized with coumarin-3-carboxylic acid as dummy template of Zearalenone (ZEN), methacrylic acid as functional monomer, and ethylene glycol dimethacrylate hydroxyethyl methacrylate as cross-linker. The polymers were characterized by scanning electron microscopy, transmission electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction, and particle-size distribution analyses. MIL-101@MIPs were used as the sorbent to compose the self-made cartridge.

Solid-phase extraction of aflatoxins using a nanosorbent consisting of a magnetized nanoporous carbon core coated with a molecularly imprinted polymer.

A core consisting of nanoporous carbon (MNPC) and magnetized with CoO was coated with a molecularly imprinted polymer (MIP) by atom transfer radical precipitation polymerization. Ethyl 3-coumarincarboxylate was used as a pseudo-template to give a MIP that has a fairly specific recognition capability for aflatoxins. Batch rebinding studies were carried out to determine the specific adsorption equilibrium and specific recognition.

Synthesis of cobalt-based magnetic nanoporous carbon core-shell molecularly imprinted polymers for the solid-phase extraction of phthalate plasticizers in edible oil.

In this work, cobalt magnetic nanoporous carbon (Co-MNPC) is employed as an alternative to intensively used FeO cores for the preparation of magnetic molecularly imprinted polymers (Co-MNPC@MIPs) for the first time. Co-MNPC was prepared by one-step carbonization of Zeolitic Imidazolate Framework-67 (ZIF-67). Compared with the traditional FeO core, Co-MNPC showed a high specific surface area and large pore volumes.

Diagnostic and prognostic value of serum interleukin‑16 in patients with gastric cancer.

Gastric cancer (GC) is one of the major leading causes of cancer‑associated mortality worldwide. Serum biomarkers have a vital role in diagnosis and prognosis of GC, and interleukin (IL)‑16 may serve as a useful biomarker with prognostic value for human cancers. The current study aimed to evaluate the expression level of serum IL‑16 in patients with GC, and evaluate the diagnostic and prognostic value of IL‑16.