Beyond XGBoost and SHAP: Unveiling true feature importance.

This paper outlines key machine learning principles, focusing on the use of XGBoost and SHAP values to assist researchers in avoiding analytical pitfalls. XGBoost builds models by incrementally adding decision trees, each addressing the errors of the previous one, which can result in inflated feature importance scores due to the method's emphasis on misclassified examples. While SHAP values provide a theoretically robust way to interpret predictions, their dependence on model structure and feature interactions can introduce biases.

Juhn Atushi Wada (1924-2023) and the history of the Wada test.

Epilepsy is one of the most common neurologic conditions in the world. Surgical treatment for refractoryepilepsy is a method to optimize the quality of life for patients. Throughout his medical career, Dr.

miR378a-3p in serum extracellular vesicles is associated with pancreatic beta-cell mass in diabetic states.

The condition in which the insulin secretory ability of pancreatic β-cells decreases in diabetes is extremely important, but there are currently no biomarkers that reflect pancreatic β-cell failure. Therefore, we conducted a search for biomarkers, using pancreatic β-cell-specific 3-Phosphoinositide-dependent protein kinase 1 (PDK1) knockout mice, which develop severe hyperglycemia due to a decrease in pancreatic β-cell mass without insulin resistance. The analysis was performed in young mice when metabolic abnormalities were not yet apparent.

Impact of Antiplatelet Medication Continuation on Surgical Outcomes after Minimally Invasive Posterior Lumbar Decompression Surgery: Retrospective Cohort Study.

Study Design: Retrospective cohort study.

Objectives: Spinal surgeons face a dilemma regarding the continuation or discontinuation of antiplatelet agents during the perioperative period. Guidelines recommend considering the balance between thrombotic and bleeding risks.

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network-Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey.

Background: Estimating the prevalence of schizophrenia in the general population remains a challenge worldwide, as well as in Japan. Few studies have estimated schizophrenia prevalence in the Japanese population and have often relied on reports from hospitals and self-reported physician diagnoses or typical schizophrenia symptoms. These approaches are likely to underestimate the true prevalence owing to stigma, poor insight, or lack of access to health care among respondents.

First-Line Mobocertinib Versus Platinum-Based Chemotherapy in Patients With Exon 20 Insertion-Positive Metastatic Non-Small Cell Lung Cancer in the Phase III EXCLAIM-2 Trial.

Purpose: Mobocertinib is an oral epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor that targets exon 20 insertion (ex20ins) mutations in non-small cell lung cancer (NSCLC). This open-label, phase III trial (EXCLAIM-2: ClinicalTrials.gov identifier: NCT04129502) compared mobocertinib versus platinum-based chemotherapy as first-line treatment of ex20ins+ advanced/metastatic NSCLC.

The development and validation of a Japanese hazard perception task.

Objectives: This study aimed to validate the hazard perception task developed for Japanese drivers with brain damage.

Methods: A total of 36 professional driving instructors, 67 older adult drivers, 39 young drivers, and 72 patients with brain damage participated in the study. A video-based hazard perception task measured the hazard perception skills of each group.

Usefulness of Tapered Cutting Needles for Lymphaticovenular Anastomosis.

We report the usefulness of a tapered cutting needle, which has a polyhedral tip similar to that of a square needle and transitions to a round tip in the middle, for super-microsurgery. We have performed more than 500 lymphaticovenular anastomoses (LVAs) using tapered cutting needles. Therefore, we investigated the caliber of the anastomosed lymphatic vessels and veins, characteristics of the lymphatic vessels, the time required to perform the anastomosis, damage to the lymphatic vessels and veins during anastomosis, and patency of 30 recently performed consecutive anastomoses.

Fatuamide A, a Hybrid PKS/NRPS Metallophore from a sp. Marine Cyanobacterium Collected in American Samoa.

A structurally novel metabolite, fatuamide A (), was discovered from a laboratory cultured strain of the marine cyanobacterium sp., collected from Faga'itua Bay, American Samoa. A bioassay-guided approach using NCI-H460 human lung cancer cells directed the isolation of fatuamide A, which was obtained from the most cytotoxic fraction.

AGER-dependent macropinocytosis drives resistance to KRAS-G12D-targeted therapy in advanced pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) driven by the mutation presents a formidable health challenge because of limited treatment options. MRTX1133 is a highly selective and first-in-class KRAS-G12D inhibitor under clinical development. Here, we report that the advanced glycosylation end product-specific receptor (AGER) plays a key role in mediating MRTX1133 resistance in PDAC cells.

Anomalous superconductivity in twisted MoTe nanojunctions.

Introducing superconductivity in topological materials can lead to innovative electronic phases and device functionalities. Here, we present a unique strategy for quantum engineering of superconducting junctions in moiré materials through direct, on-chip, and fully encapsulated 2D crystal growth. We achieve robust and designable superconductivity in Pd-metalized twisted bilayer molybdenum ditelluride (MoTe) and observe anomalous superconducting effects in high-quality junctions across ~20 moiré cells.

A look beyond topography: Transient phenomena of cell division captured with high-speed in-line force mapping.

Life on the nanoscale has been made accessible in recent decades by the development of fast and noninvasive techniques. High-speed atomic force microscopy (HS-AFM) is one such technique that shed light on single protein dynamics. Extending HS-AFM to effortlessly incorporate mechanical property mapping while maintaining fast imaging speed allows a look deeper than topography and reveal details of nanoscale mechanisms that govern life.

Solvent-Environment Dependence of the Excess Chemical Potential and Its Computation Scheme Formulated through Error Minimization.

Solvent environment may significantly affect the equilibria involving flexible solute species, such as proteins and polymers. In the present work, a computation scheme is formulated for the change in the excess chemical potential of a flexible solute molecule upon variation of the solvent condition. The formulation adopts the scheme of error minimization in parallel to the method of Bennett acceptance ratio, and an exact expression is presented that provides the change in the excess chemical potential from solvation free energies computed in two solvent conditions of interest.

Trajectory of the arterial-alveolar oxygen gradient in COPD for a decade.

Background: Chronic respiratory failure (CRF) is a critical complication in patients with chronic obstructive pulmonary disease (COPD) and is characterized by an increase in the arterial-alveolar oxygen gradient (A-aDO2). The long-term trajectory and prognostic significance remain unclear. This study aimed to assess the prognostic impact of A-aDO2 and elucidate its trajectory over ten years.

Self-Foldable Three-Dimensional Biointerfaces by Strain Engineering of Two-Dimensional Layered Materials on Polymers.

Two-dimensional layered materials (2DLMs) have received increasing attention for their potential in bioelectronics due to their favorable electrical, optical, and mechanical properties. The transformation of the planar structures of 2DLMs into complex 3D shapes is a key strategic step toward creating conformal biointerfaces with cells and applying them as scaffolds to simultaneously guide their growth to tissues and enable integrated bioelectronic monitoring. Using a strain-engineered self-foldable bilayer, we demonstrate the facile formation of predetermined 3D microstructures of 2DLMs with controllable curvatures, called microrolls.

Impact of Siberian Wildfires on Ice-Nucleating Particle Concentrations over the Northwestern Pacific.

Ice-nucleating particles (INPs) significantly influence aerosol-cloud precipitation interactions at regional and global scales. However, information regarding the concentrations and origins of INPs over the open ocean, particularly at high latitudes, remains insufficient due to access difficulties. In this study, we investigated the concentrations and origins of INPs over the western North Pacific to the Arctic Ocean through ship-borne observations conducted in the early autumn of 2016.

Targeted insertion of heterogenous DNA using Cas9-gRNA ribonucleoprotein-mediated gene editing in .

Gene editing is emerging as a powerful tool for introducing novel functionalities in mushrooms. While CRISPR/Cas9-induced double-strand breaks (DSBs) typically rely on non-homologous end joining (NHEJ) for gene disruption, precise insertion of heterologous DNA in mushrooms is less explored. Here, we evaluated the efficacy of inserting donor DNAs (8-1008 bp) with or without homologous arms at Cas9-gRNA RNP-induced DSBs.

Exact Quantization of Topological Order Parameter in SU(N) Spin Models, N-ality Transformation and Ingappabilities.

We show that the ground-state expectation value of twisting operator is a topological order parameter for U(1)- and Z_{N}-symmetric symmetry-protected topological (SPT) phases in one-dimensional "spin" systems-it is quantized in the thermodynamic limit and can be used to identify different SPT phases and to diagnose phase transitions among them. We prove that this (nonlocal) order parameter must take values in Nth roots of unity, and its value can be changed by a generalized lattice translation acting as an N-ality transformation connecting distinct phases. This result also implies the Lieb-Schultz-Mattis (LSM) ingappability for SU(N) spins if we further impose a general translation symmetry.

Machine-Learning Modeling of Elemental Ferroelectric Bismuth Monolayer.

The bismuth monolayer has recently been experimentally identified as a novel platform for the investigation of two-dimensional single-element ferroelectric system. Here, we model the potential energy surface of a bismuth monolayer by employing a message-passing neural network and achieve an error smaller than 1.2 meV per atom.