Robust and interpretable deep learning system for prognostic stratification of extranodal natural killer/T-cell lymphoma.

Purpose: Extranodal natural killer/T-cell lymphoma (ENKTCL) is an hematologic malignancy with prognostic heterogeneity. We aimed to develop and validate DeepENKTCL, an interpretable deep learning prediction system for prognosis risk stratification in ENKTCL.

Methods: A total of 562 patients from four centers were divided into the training cohort, validation cohort and test cohort.

Boosting Stability of Cesium/Formamidinium Based Perovskite Solar Cells via Eliminating Intermediate Phase Transition and X-Anion Vacancy.

Boosting the stability of cesium/formamidinium (Cs/FA) based perovskite solar cells (PSCs) has received tremendous attention. However, the crystallization of perovskites usually undergoes complex intermediate phase transitions and ion loss processes, which seriously degrade the efficiency and stability of PSCs. Herein, iodine monobromide (IBr, an interhalogen) is incorporated into the precursor solution to regulate the perovskite crystallization process.

Alpha-fetoprotein combined with initial tumor shape irregularity in predicting the survival of patients with advanced hepatocellular carcinoma treated with immune-checkpoint inhibitors: a retrospective multi-center cohort study.

Background: Immune checkpoint inhibitors (ICIs) are playing a significant role in the treatment of hepatocellular carcinoma (HCC). This study aims to explore the prognostic value of alpha-fetoprotein (AFP) and initial tumor shape irregularity in patients treated with ICIs.

Methods: In this retrospective, multi-center study, 296 HCC patients were randomly divided into the training set and the validation set in a 3:2 ratio.

Fluctuating Spinodal-like Structure in the Glacial Phase of d-Mannitol.

The glacial phase can be formed from supercooled liquid (SCL) in certain systems, which is called liquid-liquid transition (LLT). Revealing the nature of the glacial phase especially in a single-component system is crucial for understanding the LLT process. Here, by using flash differential scanning calorimetry and cold-field transmission electron microscopy, the structure of the d-mannitol glacial phase and the phase transition kinetics between the glacial phase and SCL were studied.

Clinical risk factors of long-term post-traumatic stress symptoms, anxiety, and depression in COVID-19 survivors.

The COVID-19 pandemic has a profound and lasting impact on the mental health of recovered individuals. To investigate the clinical risk factors associated with long-term post-traumatic stress symptoms (PTSS), anxiety, and depression in COVID-19 survivors, demographic information and medical records were collected during February 19 and March 20, 2020. Assessments of PTSS, anxiety, and depressive symptoms were conducted at two months (April to May 2020, Session 1) and two years (April to May 2022, Session 2) post-discharge.

Hemorrhage risk after coblation tonsillectomy in Chinese pediatric: a multicenter, prospective, observational cohort study.

Objectives: The study aimed to assess the incidence of post-coblation tonsillectomy hemorrhage (PCTH) and identify associated risk factors in a pediatric Chinese population.

Methods: This prospective, multicenter cohort study, conducted over 17 months, included 8854 pediatric patients who underwent coblation tonsillectomy across 15 research centers in China. Patient data were collected through an Electronic Data Capture (EDC) system.

Management of adult sepsis in resource-limited settings: global expert consensus statements using a Delphi method.

Purpose: To generate consensus and provide expert clinical practice statements for the management of adult sepsis in resource-limited settings.

Methods: An international multidisciplinary Steering Committee with expertise in sepsis management and including a Delphi methodologist was convened by the Asia Pacific Sepsis Alliance (APSA). The committee selected an international panel of clinicians and researchers with expertise in sepsis management.

Validation of novel grading schemes and refinement of the Leibovich risk groups for chromophobe renal cell carcinoma.

Background: Traditional grading systems have proven inadequate in stratifying chRCC patients based on recurrence risk. Recently, several novel grading schemes, including three-tiered, two-tiered, and four-tiered systems, have been proposed, but their prognostic value remains controversial and lacks external validation.

Materials And Methods: We included 528 patients with pathologically proven chRCC (chromophobe renal cell carcinoma) from multiple medical institutions and the Cancer Genome Atlas-Kidney Chromophobe cohort.

Manipulating p-π Resonance through Methoxy Group Engineering in Covalent Organic Frameworks for an Efficient Photocatalytic Hydrogen Evolution.

Kinetic factors frequently emerge as the primary constraints in photocatalysis, exerting a critical influence on the efficacy of polymeric photocatalysts. The diverse conjugation systems within covalent organic frameworks (COFs) can significantly impact photon absorption, energy level structures, charge separation and migration kinetics. Consequently, these limitations often manifest as unsatisfactory kinetic behavior, which adversely affects the photocatalytic activity of COFs.

Topotactic Transformation in Fe3O4 Induces Spontaneous Growth of Compositionally Diverse Nanostructures.

Topotactic transformation is an emerging strategy for synthesizing materials with exotic functional properties. In this report, instead of producing new crystals with related structures, we exploited the topotactic transformation phenomenon to spontaneously produce compositionally diverse nanostructures on the transforming substrate. The surface of magnetite nanoparticles (Fe3O4 NPs) is topotactically transformed into maghemite (γ-Fe2O3).

Design, Synthesis and Biological Evaluation of Novel Trifluoromethylated Dipeptide Mimetics of Matijin-Su as Potent Anti-HBV Agents.

A series of Matijin-Su (MTS) derivatives were designed, synthesized and the anti-HBV activity evaluated in vitro. Twelve compounds displayed good inhibition on HBV DNA replication with micromolar IC50 values (0.14 - 4.

Promoting Hydrogen Transfer in Electrochemical CO2 Reduction via a Hydrogen on Demand Pathway.

The proceeding of electrochemical CO2 reduction reaction (CO2RR) requires the formation of active hydrogen species for CO2 protonation, while traditional catalysts fail to balance the rate of hydrogen supply and CO2 protonation. Herein, we propose a "hydrogen on demand" mechanism, in which the polarity of the adsorbed CO2 is enhanced to allow the capture of hydrogen from water without forming free hydrogen species, realizing the matching rate of hydrogen supply and CO2 protonation. As a proof of concept, we construct Zn-N sites modified by Se atoms, allowing the proceeding of CO2RR under the "hydrogen on demand" mechanism with superior efficiency.

Prognostic and immunological role of LASP2 in clear cell renal cell carcinoma.

Background: Clear cell renal cell carcinoma (ccRCC) represents a common renal carcinoma subtype influenced by the immune microenvironment. LIM and SH3 Protein 2 (LASP2), an actin-binding protein within the nebulin family, contributes to cellular immunity and adhesion mechanisms.

Objective: This study aimed to clarify the immunological and prognostic relevance of LASP2 in ccRCC.

Spherical Mg/Cu Co-doped Na4Fe3(PO4)2P2O7 Cathode Materials with Mitigated Diffusion-induced Stresses and Enhanced Cyclic Stability.

Na4Fe3(PO4)2P2O7 (NFPP) has been regarded as the promising cathode material for sodium-ion batteries (SIBs). However, the practical applications of NFPP are hindered by its high-volume changes, poor intrinsic electron conductivity and sluggish Na+ ions diffusion kinetics. Herein, a spray-drying and solid-state reaction method have been utilized to fabricate the spherical trace amount Mg/Cu co-doped Na4Fe3(PO4)2P2O7 (NFMCPP).

Charge Manipulation of Porous Coordination Cages Tunes the Efficiency and Selectivity in Electrochemical Synthesis.

Electrocatalytic synthesis of high-value chemicals has been attracting growing interest owing to its environmentally benign reaction pathways. Among these processes, the electrocatalytic reduction of nitrate (NO3-) to ammonia (NH3), known as NO3RR, and the oxidation of 5-hydroxymethylfurfural (HMFOR) stand out as two cornerstone reactions; yet, their efficiency and selectivity pose ongoing challenges. In this study, we introduce a charge manipulation approach for the design of highly efficient electrocatalysts tailored for the simultaneous coupling of NO3RR and HMFOR.

A Lithiophilic Donor-Acceptor Polymer Modified Separator for High-Performance Lithium Metal Batteries.

Lithium-ion batteries are approaching their theoretical limits. To achieve higher energy density, the development of lithium metal batteries (LMBs) is essential. However, uncontrolled ion transport and unstable solid electrolyte interface (SEI) layer are key factors inducing lithium dendrite growth, hindering the development of LMBs.

An AI dose-influence matrix engine for robust pencil beam scanning protons therapy.

Background: Rapid planning is of tremendous value in proton pencil beam scanning (PBS) therapy in overcoming range uncertainty. However, the dose calculation of the dose influence matrix (D) in robust PBS plan optimization is time-consuming and requires substantial acceleration to enhance efficiency.

Purpose: To accelerate the D calculations in PBS therapy, we developed an AI-D engine integrated into our in-house treatment planning system (TPS).

Identification of Multi-functional Therapeutic Peptides Based on Prototypical Supervised Contrastive Learning.

High-throughput sequencing has exponentially increased peptide sequences, necessitating a computational method to identify multi-functional therapeutic peptides (MFTP) from their sequences. However, existing computational methods are challenged by class imbalance, particularly in learning effective sequence representations. To address this, we propose PSCFA, a prototypical supervised contrastive learning with a feature augmentation method for MFTP prediction.

HiSVision: A Method for Detecting Large-Scale Structural Variations Based on Hi-C Data and Detection Transformer.

Structural variation (SV) is an important component of the diversity of the human genome. Many studies have shown that SV has a significant impact on human disease and is strongly associated with the development of cancer. In recent years, the Hi-C sequencing technique has been shown to be useful for detecting large-scale SVs, and several methods have been proposed for identifying SVs from Hi-C data.

EnDM-CPP: A Multi-view Explainable Framework Based on Deep Learning and Machine Learning for Identifying Cell-Penetrating Peptides with Transformers and Analyzing Sequence Information.

Cell-Penetrating Peptides (CPPs) are a crucial carrier for drug delivery. Since the process of synthesizing new CPPs in the laboratory is both time- and resource-consuming, computational methods to predict potential CPPs can be used to find CPPs to enhance the development of CPPs in therapy. In this study, EnDM-CPP is proposed, which combines machine learning algorithms (SVM and CatBoost) with convolutional neural networks (CNN and TextCNN).

A Universal Design of Lithium Anode via Dynamic Stability Strategy for Practical All-solid-state Batteries.

All-solid-state Li-metal battery (ASSLB) chemistry with thin solid-state electrolyte (SSE) membranes features high energy density and intrinsic safety but suffers from severe dendrite formation and poor interface contact during cycling, which hampers the practical application of rechargeable ASSLB. Here, we propose a universal design of thin Li-metal anode (LMA) via a dynamic stability strategy to address these issues. The ultra-thin LMA (20 μm) is in-situ constructed with uniform highly Li-ion conductive solid-electrolyte interphase and composite-polymer interphase (CPI) via electroplating process.

Access to Polyhydroxyalkanoates with Diverse Syndiotacticity via Polymerization by Spiro-Salen Complexes and Insights into the Stereocontrol Mechanism.

Polyhydroxyalkanoates (PHAs) have attracted broad interest as promising sustainable materials to address plastic pollution and resource scarcity. However, the chemical synthesis of stereoregular PHAs via ring-opening polymerization (ROP) has long been an elusive endeavor. In this contribution, we exploited a robust spiro-salen yttrium complex (Y3) as the catalyst to successfully prepare syndiotactic PHAs with diverse pendent groups.

Achieving Photocatalytic Overall Nitrogen Fixation via an Enzymatic Pathway on a Distorted CoP4 Configuration.

Photocatalytic nitrogen (N2) fixation over semiconductors has always suffered from poor conversion efficiency owing to weak N2 adsorption and the difficulty of N≡N triple bond dissociation. Herein, a Co single-atom catalyst (SAC) model with a C-defect-evoked CoP4 distorted configuration was fabricated using a selective phosphidation strategy, wherein P-doping and C defects co-regulate the local electronic structure of Co sites. Comprehensive experiments and theoretical calculations revealed that the distorted CoP4 configuration caused a strong charge redistribution between the Co atoms and adjacent C atoms, minimizing their electronegativity difference.