3DIO macroporous In₂O₃ films with additional <italic>via</italic>-hole architectures were fabricated and Au NPs loaded, which applied for detecting of acetone gas in exhaled breath.

The results of collapsed building detection act as an important reference for damage assessment after earthquake, which is crucial governments in order to efficiently determine the affected area and execute emergency rescue. For this task, unmanned aerial vehicle (UAV) images are often used data sources due advantages high flexibility regarding acquisition time flying requirements resolution. However, buildings typically distributed both connected independent pieces with arbitrary shapes,...

Background: In real-world drug discovery, human experts typically grasp molecular knowledge of drugs and proteins from multimodal sources including structures, structured bases, unstructured biomedical literature. Existing approaches in AI discovery integrate either or independently, which compromises the holistic understanding biomolecules. Besides, they fail to address missing modality problem, where information is for novel proteins. Methods: this work, we present KEDD, a unified,...

Foundation models (FMs) have exhibited remarkable performance across a wide range of downstream tasks in many domains. Nevertheless, general-purpose FMs often face challenges when confronted with domain-specific problems, due to their limited access the proprietary training data particular domain. In biomedicine, there are various biological modalities, such as molecules, proteins, and cells, which encoded by language life exhibit significant modality gaps human natural language. this paper,...

Structured representations, exemplified by Abstract Meaning Representation (AMR), have long been pivotal in computational linguistics. However, their role remains ambiguous the Large Language Models (LLMs) era. Initial attempts to integrate structured representation into LLMs via a zero-shot setting yielded inferior performance. We hypothesize that such decline stems from structure information being passed code format unfamiliar LLMs' training corpora. Consequently, we propose SR-LLM, an...

Ultrasonic flowmeter is one of the most widely used devices in flow measurement. Traditional bulk piezoelectric ceramic transducers restrict their application to small pipe diameters. In this paper, we propose an ultrasonic gas based on a PZT micromachined transducer (PMUT) array. Two PMUT arrays with resonant frequency 125 kHz are as sensitive elements realize alternate transmission and reception signals. The sensor contains 5 × circular size 3.7 mm2. An FPGA resolution ns process received...

Ship targets are high-value military and civilian with broad application prospects. However, the precise focusing of ships is still a difficult issue because their complicated six-degree-of-freedom motions on sea surface. This paper focused investigating effect ship oscillation Synthetic Aperture Radar imaging. Firstly, based motions, accurate range models for linear angular were built, superiority was verified by comparing them described in published literature. Secondly, we used Taylor...

The cytotoxicity of drugs metabolized by the S9 system can be precisely detected electrochemical voltammetry.

As an emerging functional material, shape memory alloy (SMA) exhibits remarkable mechanical properties and finds diverse applications across industries. This paper presents a topology optimization framework based on the bi-directional evolutionary structural (BESO) method for designing SMA structures, which maximizes stiffness under multiple constraints of specified volume fraction, displacement, fundamental frequency. A phenomenological constitutive model is utilized to simulate behavior...

Abstract Diatoms often outnumber other eukaryotic algae in the oceans, especially coastal environments characterized by frequent fluctuations light intensity. The identities and operational mechanisms of regulatory factors governing diatom acclimation to high stress remain largely elusive. Here, we identified AUREO1c protein from Phaeodactylum tricornutum as a crucial regulator non-photochemical quenching (NPQ), photoprotective mechanism that dissipates excess energy heat. detects using...

Recent advances in large language models (LLMs) like ChatGPT have shed light on the development of knowledgeable and versatile AI research assistants various scientific domains. However, they fall short biomedical applications due to a lack proprietary knowledge deficiencies handling biological sequences for molecules proteins. To address these issues, we present BioMedGPT, multimodal model assisting research. We first incorporate domain expertise into LLMs by incremental pre-training...

Synthetic aperture radar (SAR) has become one of the most important means information acquisition in today’s society and shows great potential many fields. Target identification classification SAR images are also focus research. With vigorous development deep learning, researchers apply this method to target obtain a more automatic process accurate results. In paper, novel forest model constructed by multi-grained cascade (gcForest), which is different from traditional neural network (NN)...

Efficient and accurate identification of visual overlapping image pairs is an ongoing challenge for large-scale Structure from Motion (SfM). Recently, CNN-based methods have demonstrated the ability to find visually similar pairs. BoW (Bag-of-Word) or Visual Vocabulary tree (VoC) with hand-crafted learning-based local features yet widely embedded in 3D reconstruction tasks. To explore corresponding differences, this work, we fine-tuned several popular CNNs (AlexNet, VGG, ResNet) according...

Klebsiella pneumoniae 2N3 is a strain of gram-negative bacteria that can degrade chlorimuron-ethyl and grow with as the sole nitrogen source. The complete genome was sequenced using third generation high-throughput DNA sequencing technology. genomic size 5.32 Mb GC content 57.33% total 5156 coding genes 112 non-coding RNAs predicted. Two hydrolases expressed by open reading frames (ORFs) 0934 0492 were predicted experimentally confirmed gene knockout to be involved in degradation...

This study aimed to investigate if hyperinsulinemia and/or insulin resistance was correlated with the occurrence of papillary thyroid cancer (PTC) in a group Chinese patients. 258 inpatients were included study. According postoperative pathology results, all subjects divided into PTC (n = 153) and control groups (with benign nodules, n 105). Body mass index (BMI), fasting glucose, insulin, homeostasis model assessment (HOMA-IR), thyroid-stimulating hormone (TSH), FT4, FT3, peroxidase...

Single-cell RNA sequencing (scRNA-seq) data is a potent tool for comprehending the "language of life" and can provide insights into various downstream biomedical tasks. Large-scale language models (LLMs) are starting to be used cell representation learning. However, current LLM-based learning methods depend solely on BERT architecture, causing an anisotropic embedding space that leads inefficient semantic representation. Contrastive alleviates this problem by distributing embeddings...

This paper presents a novel architecture for annular and circular electrode piezoelectric micromachined ultrasound transducers (AC-PMUTs) with mechanical grooves. The grooves reduce stress increase the vibration area of membrane, resulting in enhanced vibrational deformation amplitude, transmission sensitivity, coupling coefficient (), quality factor (Q), emission sound pressure level (SPL). Compared conventional AC-PMUTs without grooves, transmitting displacement sensitivity was measured as...

Target detection on the sea-surface has always been a high-profile problem, and of weak targets is one most difficult problems key issue under this problem. Traditional techniques, such as imaging, cannot effectively detect these types targets, so researchers choose to start by mining characteristics received echoes other aspects for target detection. This paper proposes false alarm rate (FAR) controllable deep forest model based six-dimensional feature space efficient accurate sea-surface....

Prompt-tuning based few-shot learning has garnered increasing attention in recent years due to its efficiency and promising capability. To achieve the best performance for NLP tasks with just a few samples, it is vital include as many informative samples possible avoid misleading ones. However, there no work prompt-tuning literature addressing problem of differentiating hard from ones model training, which challenging lack supervision signals about quality train well-performed model. We...

Abstract Diatoms contribute to 20% of global primary productivity. Although some diatom viruses have been identified, the molecular mechanisms underlying their interactions with host remain poorly understood. In this study, we report discovery an RNA molecule in DNA extracts Phaeodactylum tricornutum strain Pt1, which possesses a well-annotated genome and has used as model system since 1956. We confirmed be double-stranded linear and, through sequencing, demonstrated it virus Totiviridae...