Multi-modal framework for battery state of health evaluation using open-source electric vehicle data.

Accurate, practical, and robust evaluation of the battery state of health is crucial to the efficient and reliable operation of electric vehicles. However, the limited availability of large-scale, high-quality field data hinders the development of the battery management system for state of health estimation, lifetime prediction, and fault detection in various applications. In this work, to gain insights into underlying factors limiting battery management system performance in real-world vehicles, we analyze the operational data of 300 diverse electric vehicles over three years to understand the disparities between field data and laboratory battery test data and their effect on state of health estimation.

Capillary Wave-Assisted Colloidal Assembly.

The self-assembly of nanoparticle colloids into large-area monolayers with long-range order is a grand challenge in nanotechnology. Using acoustic energy, i.e.

Surface Copassivation Strategy for Developing Water-Soluble InP Colloidal Quantum Dots with High Luminescence and Suppressed Blinking.

Colloidal quantum dots (QDs) are promising emitters for biological applications because of their excellent fluorescence, convenient surface modification, and photostability. However, the toxic cadmium composition in the state-of-the-art QDs and their inferior properties in the aqueous phase greatly restrict further use. The performance of water-soluble indium phosphide (InP) QDs lags far behind those of Cd-containing counterparts due to the lack of effective surface protection.

Co-linear Hexa-Mirror-Based Multi-Periodic Structured Illumination Microscopy.

Structured illumination microscopy (SIM) is a robust wide-field optical nanoscopy technique. Several approaches are implemented to improve SIM's resolution capability (∼2-fold). However, achieving a high resolution with a large field of view (FOV) is still challenging.

Distributed multi-agent reinforcement learning for multi-objective optimal dispatch of microgrids.

The distributed microgrids cooperate to accomplish economic and environmental objectives, which have a vital impact on maintaining the reliable and economic operation of power systems. Therefore a distributed multi-agent reinforcement learning (MARL) algorithm is put forward incorporating the actor-critic architecture, which learns multiple critics for subtasks and utilizes only information from neighbors to find dispatch strategy. Based on our proposed algorithm, multi-objective optimal dispatch problem of microgrids with continuous state changes and power values is dealt with.

A robust output-feedback control scheme based on composite nonlinear feedback in singular uncertain delayed models.

Relying on composite nonlinear feedback, an output-feedback controller is robustly addressed in the singular models with uncertainties, disturbances and time-delays. For this purpose, an observer-based compensator is utilized to realize the purpose. In the presence of disturbance and uncertainty, it is demonstrated that the tracking error and the states of the overall system are ultimately bounded.

ProCUSNet: Prostate Cancer Detection on B-mode Transrectal Ultrasound Using Artificial Intelligence for Targeting During Prostate Biopsies.

Background And Objective: To assess whether conventional brightness-mode (B-mode) transrectal ultrasound images of the prostate reveal clinically significant cancers with the help of artificial intelligence methods.

Methods: This study included 2986 men who underwent biopsies at two institutions. We trained the PROstate Cancer detection on B-mode transrectal UltraSound images NETwork (ProCUSNet) to determine whether ultrasound can reliably detect cancer.

Automatic segmentation of the midfacial bone surface from ultrasound images using deep learning methods.

With developments in computer science and technology, great progress has been made in three-dimensional (3D) ultrasound. Recently, ultrasound-based 3D bone modelling has attracted much attention, and its accuracy has been studied for the femur, tibia, and spine. The use of ultrasound allows data for bone surface to be acquired non-invasively and without radiation.

Aptamer-Antibody Birecognized Sandwich SERRS Biosensor in Accurate and Rapid Identification of Intraoperative Parathyroid Hormone.

With the increasing incidence of thyroid cancer worldwide and the increasing demand for surgery, the risk of parathyroid injury is also increasing, which will lead to postoperative hypoparathyroidism (HP) and hypocalcemia. In order to improve the quality of life of patients after surgery, there is an urgent need to develop a novel platform that can identify the parathyroid gland immediately during surgery. The parathyroid gland promotes the increase of blood calcium concentration by secreting parathyroid hormone (PTH).

Molecular Uranium Dioxide-Mediated CO Photoreduction.

The reduction of CO mediated by transition metals has garnered significant interest, yet little is known about the reduction of CO using f-element compounds. Herein, the reduction of CO to CO by tetravalent uranium (U) compound UO is investigated via matrix isolation infrared spectroscopy and quantum chemical study. Our results reveal that a stable carbonate intermediate OUCO () can be prepared at low temperatures (4-12 K).

K1 channels enable myelinated axons to transmit spikes reliably without spiking ectopically.

Action potentials (spikes) are regenerated at each node of Ranvier during saltatory transmission along a myelinated axon. The high density of voltage-gated sodium channels required by nodes to reliably transmit spikes increases the risk of ectopic spike generation in the axon. Here we show that ectopic spiking is avoided because K1 channels prevent nodes from responding to slow depolarization; instead, axons respond selectively to rapid depolarization because K1 channels implement a high-pass filter.

PMP2+ Schwann cells maintain the survival of large-caliber motor axons.

Neurodegenerative diseases of both the central and peripheral nervous system are characterized by selective neuronal vulnerability, i.e., pathology that affects particular types of neurons.

Time persistence of the fMRI resting-state functional brain networks.

Time persistence is a fundamental property of many complex physical and biological systems; thus understanding the phenomenon in the brain is of high importance. Time persistence has been explored at the level of stand-alone neural time-series, but since the brain functions as an interconnected network, it is essential to examine time persistence at the network level. Changes in resting-state networks have been previously investigated using both dynamic (i.

An Open-Source 3D-Printable Platform for Testing Head-Fixed Cognitive Flexibility in Rodents.

The study of the neural circuitry underlying complex mammalian decision-making, particularly cognitive flexibility, is critical for understanding psychiatric disorders. To test cognitive flexibility, as well as potentially other decision-making paradigms involving multimodal sensory perception, we developed FlexRig, an open-source, modular behavioral platform for use in head-fixed mice. FlexRig enables the administration of tasks relying upon olfactory, somatosensory, and/or auditory cues and employing left and right licking as a behavior readout and reward delivery mechanism.

Neuropathic corneal pain following refractive surgery: risk factors, clinical manifestations, imaging and proteomic characteristics.

Background/aims: To identify the risk factors for neuropathic corneal pain (NCP) following corneal refractive surgery and to report its clinical manifestations, imaging and proteomic characteristics.

Methods: This 1 year prospective cohort study included 100 eyes that underwent small incision lenticule extraction (SMILE) or laser-assisted in situ keratomileusis (LASIK). Ocular surface assessments, in-vivo confocal microscopy scans, tear neuromediators and proteomics analyses were performed.

A Hepatic Oxidative Metabolite of Palmatine Ameliorates DSS-Induced Ulcerative Colitis by Regulating Macrophage Polarization Through AMPK/NF-κB Pathway.

Palmatine (PAL) and berberine are both classified as protoberberine alkaloids, derived from several traditional Chinese herbs such as Franch. and   Schneid. These compounds are extensively used in treating dysentery and colitis.

Construction of a Multiple Cyclic Ligation-Promoted Exponential Recombinase Polymerase Amplification Platform for Sensitive and Simultaneous Monitoring of Cancer Biomarkers Fpg and FEN1.

Formamidopyrimidine DNA glycosylase (Fpg) and flap endonuclease 1 (FEN1) are essential to sustaining genomic stability and integrity, while the abnormal activities of Fpg and FEN1 may lead to various diseases and cancers. The development of simple methods for simultaneously monitoring Fpg and FEN1 is highly desirable. Herein, we construct a multiple cyclic ligation-promoted exponential recombinase polymerase amplification (RPA) platform for sensitive and simultaneous monitoring of Fpg and FEN1 in cells and clinical tissues.

Urea Complexation for Docosahexaenoic Acid Enrichment from Crypthecodinium cohnii Oil: Using Water as the Urea Solvent.

Based on the observation that urea, water, and ethyl esters (EE) can form gypsum-like mixtures, this study explored the feasibility of employing water as a solvent for urea in the urea complexation method to enrich n-3 polyunsaturated fatty acids with docosahexaenoic acid (DHA)-containing ethyl esters (DHA- EE) from Crypthecodinium cohnii as the material. Under the conditions of a urea/DHA-EE ratio of 3, a water/DHA-EE ratio of 0.75, a mixing temperature of 65℃, and a cooling temperature of 20℃, a concentrate containing over 90% DHA was achieved.

Bioactive Compounds and Fatty Acid Composition of Oils Obtained by Different Extraction Methods from Caper (Capparis ovata Desf.) Seeds.

In this study, the total phenol, total flavonoid content, antioxidant capacity, phenolic component and fatty acid profiles of caper seed oils extracted by solvent extraction, sonication extraction and cold press methods were revealed. Total phenol amounts of caper seed oils extracted by cold press, sonication and solvent systems were recorded as 0.10, 0.

Oil Composition and Phenolic Compounds of Plum Seeds Obtained from Fruit Processing By-products Treated by Heat.

In this study, the effect of microwave drying on oil content, bioactive compounds, antioxidant activity, polyphenols and fatty acid profiles of fresh (control) and dried plum kernels was investigated. The oil quantities of plum seeds dried were found between 27.40% (control) and 42.

Reusable Self-Powered Electrochromic Sensor Patch Based on Enzymatic Biofuel Cells for On-Site Visualized Monitoring of Lactic Acid.

Wearable sensors have broad application potential in motion assessment, health monitoring, and medical diagnosis. However, relying on a specialized instrument for power supply and signal reading makes sensors unsuitable for on-site detection. To solve this problem, a reusable self-powered electrochromic sensor patch based on enzymatic biofuel cells were constructed to realize the on-site visualized monitoring.

Organ Failure and Prediction of Severity in Acute Pancreatitis.

Organ failure (OF) is a sinister development in the clinical course of acute pancreatitis, and its prediction is crucial for triaging the patient. Persistent systemic inflammatory response syndrome and raised interleukin-6 levels have a good predictive accuracy. Pathophysiology involves the release of damage-associated molecular patterns as a consequence of pancreatic injury, recruitment of inflammatory cells, and the release of proinflammatory cytokines and chemokines causing cytokine storm.

FTW SERS probes with Ag NCs-GO composite structure excited by evanescent wave for in situ detection of permethrin.

Background: Permethrin is a pesticide used to kill insects, and once used in excess, it poses a great threat to the environment and human health, therefore, it is necessary to realize the rapid and accurate detection of permethrin. Fiber optic surface enhanced Raman scattering (SERS) probes have the advantages of small volume and can be used for remote monitoring, which have great potential for application in achieving in-situ detection of pesticide residues.

Results: Fiber taper waist (FTW) SERS probes modified by silver nanocubes-graphene oxide (Ag NCs-GO) composite structures were prepared for in situ detection of permethrin in lake water.