Abstract Electron modulation presents a captivating approach to fabricate efficient electrocatalysts for the oxygen evolution reaction (OER), yet it remains challenging undertaking. In this study, an effective strategy is proposed regulate electronic structure of metal–organic frameworks (MOFs) by construction MOF‐on‐MOF heterogeneous architectures. As representative architectures, MOF‐74 on MOF‐274 hybrids are in situ prepared 3D metal substrates (NiFe alloy foam (NFF)) via two‐step...

This paper proposes protograph-based Raptor-like (PBRL) codes as a class of rate-compatible low-density parity-check for binary-input AWGN channels. As with the Raptor codes, exclusive-OR operations on precoded bits produce additional parity providing extensive rate compatibility. Unlike each bit in protograph is explicitly designed to optimize density evolution threshold. During lifting process, approximate cycle extrinsic message degree (ACE) and circulant progressive edge growth (CPEG)...

Classical multiuser information theory studies the fundamental limits of models with a fixed (often small) number users as coding blocklength goes to infinity. This paper proposes new paradigm, referred many-user theory, where is allowed grow blocklength. paradigm motivated by emerging systems massive in an area, such Internet Things. The focus this many-access channel model, which consists single receiver and many transmitters, whose increases unboundedly Moreover, unknown subset...

Multiple reads of the same Flash memory cell with distinct word-line voltages provide enhanced precision for LDPC decoding. In this paper, are optimized by maximizing mutual information (MI) quantized channel. The from a few additional allows frame error rate (FER) performance to approach that full-precision soft and enables an code significantly outperform BCH code. A constant-ratio constraint provides significant simplification in optimization no noticeable loss performance. For...

This work provides various methods for understanding the mechanism of a novel spinel high-entropy oxide (Ni_0.2Co_0.2Mn_0.2Fe_0.2Ti_0.2)₃O₄ in energy storage applications.

Caries is a dental disease caused by bacterial infection. If the cause of caries detected early, treatment will be relatively easy, which in turn prevents from spreading. The current common procedure dentists to first perform radiographic examination on patient and mark lesions manually. However, work judging markings requires professional experience very time-consuming repetitive. Taking advantage rapid development artificial intelligence imaging research technical methods help make...

Abstract Hard carbon (HC) has attracted considerable research interest as the most promising anode for potassium‐ion batteries (PIBs) due to its tunable interlayer spacing and abundant voids accommodate K + . However, practical application of hard is severely hampered by low initial Coulombic efficiency (ICE) high plateau potential. Herein, a manganese ion‐catalyzed pyrolysis strategy explored regulate graphitic microcrystalline structure localized electron distribution in that greatly...

Molybdenum selenium (MoSe2 ) has tremendous potential in potassium-ion batteries (PIBs) due to its large interlayer distance, favorable bandgap, and high theoretical specific capacity. However, the poor conductivity K+ insertion/extraction MoSe2 inevitably leads sluggish reaction kinetics structural stability. Herein, Coinduced engineering is employed illuminate high-conductivity electron pathway mobile ion diffusion of nanosheets anchored on reduced graphene oxide substrate (Co-MoSe2 /rGO)....

Apical lesions, the general term for chronic infectious diseases, are very common dental diseases in modern life, and caused by various factors. The current prevailing endodontic treatment makes use of X-ray photography taken from patients where lesion area is marked manually, which therefore time consuming. Additionally, some images significant details might not be recognizable due to different shooting angles or doses. To make diagnosis process shorter efficient, repetitive tasks should...

As the popularity of dental implants continues to grow at a rate about 14% per year, so do risks associated with procedure. Complications such as sinusitis and nerve damage are not uncommon, inadequate cleaning can lead peri-implantitis around implant, jeopardizing its stability potentially necessitating retreatment. To address this issue, research proposes new system for evaluating degree periodontal using Periapical film (PA). The utilizes two Convolutional Neural Networks (CNN) models...

In recent years, there has been a significant increase in collaboration between medical imaging and artificial intelligence technology. The use of automated techniques for detecting symptoms become increasingly prevalent. However, lack research on the relationship impacted teeth inferior alveolar nerve (IAN) DPR images. severe compression against IAN may necessitate requirement canal treatment. To reduce occurrence such events, this study aims to develop an auxiliary detection system capable...

The convergence of edge computing systems with Field-Programmable Gate Array (FPGA) technology has shown considerable promise in enhancing real-time applications across various domains. This paper presents an innovative system design specifically tailored for pavement defect detection within the Advanced Driver-Assistance Systems (ADASs) domain. seamlessly integrates AMD Xilinx AI platform into a customized circuit configuration, capitalizing on its capabilities. Utilizing cameras as input...

Abstract Phase engineering is an effective strategy for modulating the electronic structure and electron transfer mobility of cobalt selenide (CoSe 2 ) with remarkable sodium storage. Nevertheless, it remains challenging to improve fast‐charging cycling performance. Herein, a heterointerface coupling induces phase transformation from cubic CoSe orthorhombic accompanied by formation MoSe construct /MoSe heterostructure decorated N‐doped carbon layer on 3D graphene foam @NC/GF). The...

Common dental diseases include caries, periodontitis, missing teeth and restorations. Dentists still use manual methods to judge label lesions which is very time-consuming highly repetitive. This research proposal uses artificial intelligence combined with image judgment technology for an improved efficiency on the process. In terms of cropping in images, proposed study histogram equalization flat-field correction pixel value assignment. The details bone structure improves resolution...

Furcation defects pose a significant challenge in the diagnosis and treatment planning of periodontal diseases. The accurate detection furcation involvements (FI) on periapical radiographs (PAs) is crucial for success therapy. This research proposes deep learning-based approach to defect using convolutional neural networks (CNN) with an accuracy rate 95%. has undergone rigorous review by Institutional Review Board (IRB) received accreditation under number 202002030B0C505. A dataset 300 teeth...

Abstract Sub‐nanoclusters with ultra‐small particle sizes are particularly significant to create advanced energy storage materials. Herein, Sn sub‐nanoclusters encapsulated in nitrogen‐doped multichannel carbon matrix (denoted as Sn‐SCs@MCNF) designed by a facile and controllable route flexible anode for high‐performance potassium ion batteries (PIBs). The uniformly dispersed can be precisely identified, which ensure us clarify the size influence on electrochemical performance. sub‐nanoscale...

This paper presents a variable-length decision-feedback scheme that uses tail-biting convolutional codes and the Reliability-Output Viterbi Algoritm (ROVA). Comparing with recent results in finite-blocklength information theory, simulation for both BSC AWGN channel show using ROVA can surpass random-coding lower bound on throughput feedback at average blocklengths less than 100 symbols. explores ROVA-based decision decoding after every symbol limited to small number of increments. The...

The dental panoramic radiograph (DPR) is a pivotal diagnostic tool in dentistry. However, despite the growing prevalence of artificial intelligence (AI) across various medical domains, manual methods remain prevailing means interpreting DPR images. This study aims to introduce an advanced identification system for detecting seven conditions images by utilizing Faster R-CNN. primary objectives are enhance dentists' efficiency and evaluate performance CNN models as foundational training...

Abstract Transition metal sulfides/selenides have been reported as promising materials for alkali‐ion batteries owing to their high pseudocapacitive effects and large capacities. However, these undergo volume expansion, which results in poor cycling retention. Hence, this study, an amorphous bimetallic chalcogenide, MoSnSe 1.5 S (MSSS), is synthesized mitigate the expansion. By introducing structure, MSSS can reach capacities of 805 mAh g ‒1 Li‐ion (LIBs) 526 Na‐ion (NIBs) at a current...

Periodontitis is a high prevalence dental disease caused by bacterial infection of the bone that surrounds tooth. Early detection and precision treatment can prevent more severe symptoms such as tooth loss. Traditionally, periodontal identified labeled manually professionals. The task requires expertise extensive experience, it highly repetitive time-consuming. aim this study to explore application AI in field medicine. With inherent learning capabilities, exhibits remarkable proficiency...

In the field of dentistry, presence dental calculus is a commonly encountered issue. If not addressed promptly, it has potential to lead gum inflammation and eventual tooth loss. Bitewing (BW) images play crucial role by providing comprehensive visual representation structure, allowing dentists examine hard-to-reach areas with precision during clinical assessments. This aid significantly aids in early detection calculus, facilitating timely interventions improving overall outcomes for...