Glycogen synthase kinase-3β (GSK3β) is associated with various key biological processes, and it has been considered as a critical therapeutic target for the treatment of many diseases. However, big challenge to develop ATP-competition GSK3β inhibitors because high sequence homology other kinases. In this work, novel parallel virtual screening strategy based on multiple protein structures, integrating molecular docking, complex-based pharmacophore, naive Bayesian classification, was developed...

Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machine model that accurately predicts Ki-67 expression level. This multi-center retrospective study analyzed clinical data from 929 patients. We integrated the tumor peritumoral areas build fusion for predicting expression. The underwent performance validation on both internal external test datasets. Its accuracy as well usefulness were evaluated by diverse statistical metrics. In depth feature...

Abstract Cloud removal algorithm is a crucial step of remote sensing image preprocessing. The current mainstream cloud algorithms are implemented based on deep learning, and most them supervised. A large number data pairs required for training to achieve removal. However, real with/without datasets difficult obtain in the world, models obtained by synthetic often need generalize better natural scenes. And existing unsupervised thin methods Cycle‐GAN framework with considerable model...

Short-term traffic flow forecasting is crucial for proactive management and control. One key issue associated with the task how to properly define capture temporal patterns of flow. A feasible solution design a multi-regime strategy. In this paper, an effective approach short-term based on modeling ensemble learning presented. First, different dynamics, regime identification model probabilistic was developed. Each identified represents specific phase, used as representative feature modeling....

Soy sauce is a common condiment that has unique flavor, one derived from its rich amino acids and salts. It known excessive intake of high-sodium food will affect human health, causing series diseases such as hypertension kidney disease. Therefore, removing sodium the soy retaining desirable. In this study, electrodialysis (ED) was employed for desalination using commercial ion exchange membranes (IEMs). The influence current density initial pH on degree explored. Results showed optimal...

To address the challenges of low detection accuracy and high false positive rates transmission lines in UAV (Unmanned Aerial Vehicle) images, we explore linear features spatial distribution. We introduce an enhanced stochastic Hough transform technique tailored for detecting complex backgrounds. By employing Hessian matrix initial preprocessing lines, utilizing boundary search pixel row segmentation, our approach distinguishes line areas from background. significantly reduce both positives...

The tremendous evolution in networking, communication and mobility creates greater security assurance demand than can be provided by simple measures, such as requiring passwords to gain access a system. Biometric technologies are being used increasingly an effective means. combination of biometrics cryptography is promising although there some issues addressed. key issue the biometric encryption how deal with contradiction about veracity simulation biometric. shielding function potential...

When recognizing conditions such as mechanical faults, the operating data samples each have a label indicating sample type, whether normal or known fault category. However, class set of test is same that in training set, which means having an unexpected unknown type are simply incorporated into existing classes rather than being assigned new for inclusion another class. To address this problem, we propose method called emerging labels using sparse auto-encoder (SAE) method. After extracting...

Abstract Background Cancer, a disease with high mortality rate, poses great threat to patients' physical and mental health can lead huge medical costs emotional damage. With the continuous development of artificial intelligence technologies, deep learning‐based cancer image segmentation techniques are becoming increasingly important in detection accurate diagnosis. However, tasks, there differences efficiency between large small objects limited effects on individual sizes. The previous...

Abstract Design and Evaluation of a Visualization Tool for Teaching 2D FlowField ConceptsVisual understanding fluid flows is critically important in many scientific andengineering disciplines. Most fluids (air, water, etc.) are transparent, thus their flowpatterns invisible to us. Flow visualization used make the flow patterns visible sothat we can visually acquire qualitative quantitative information. In this paper,we propose design tool illustrate basic field concepts 2D. Thegoal...

The unmanned aerial vehicle (UAV) has been a research hotspot worldwide. UAV system is developing to be more and intelligent autonomous. path planning an important part of autonomous control the guarantee UAV's safety. For purpose improving collision avoidance algorithms, artificial potential field, fuzzy logic algorithm ant colony are simulated respectively in static obstacle dynamic environments, compared based on minimum distance range ratio. Meanwhile, improved field proposed,...

Clustering analysis has received considerable attention in spatial data mining for several years. With the rapid development of geospatial information technologies, size is growing exponentially which makes clustering massive a challenging task. In order to improve efficiency large scale data, many researchers proposed efficient algorithms parallel. this paper, new K-Medoids++ algorithm based on MapReduce proposed. The initialization decrease number iterations combined with framework....

The study of fluid behaviors has been a challenging topic. Flow visualization enables us to visually acquire qualitative and quantitative flow information. There exist various software tools performing different tasks. However, we lack that help students learn important field concepts. In this paper, present app, named FlowVisual which runs on iOS devices, illustrate basic concepts in 3D. order meet comprehensive learning goal for students, integrate number techniques into design, including...

This paper presents RBACvisual, a user-level visualization tool designed to facilitate the study and teaching of role-based access control (RBAC) model, which has been widely used in companies restrict authorized users. RBACvisual provides two graphical abstractions underlying specification. Policies can be input modified graphically or using text-based files. Students use an embedded Query system answer commonly asked questions test their understanding given policy. A Practice subsystem is...

Integer errors can introduce significant vulnerabilities into C programs. We have developed a program analysis and visualization tool to help students understand integer representation type conversions with the goal avoid introducing these code they develop. The is through Representation (IR) window within larger system for of security issues in called Visualization Analysis Code Security (VACCS) system. In this paper, we describe our experience teaching fundamental aspects junior-level...

To investigate how a back propagation neural network based on genetic algorithm (GA-BPNN) optimizes the low-intensity pulsed ultrasound (LIPUS) stimulation parameters to improve bone marrow mesenchymal stem cells (BMSCs) viability further. The LIPUS were set at various frequencies (0.6, 0.8, 1.0, and 1.2 MHz), voltages (5, 6, 7, 8 V), durations (3, 9 minutes). As only some discrete points can be up in experiments, optimal parameter may not value of these settings. GA-BPNN is used optimize...

The measurement of critical current <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I_c</i> , as an important parameter un-shunted Josephson junctions (JJ), is for designing superconductor analog devices or digital circuits. However, precise from current–voltage ( xmlns:xlink="http://www.w3.org/1999/xlink">I</i> – xmlns:xlink="http://www.w3.org/1999/xlink">V</i> ) characteristic curves often faces difficulties, such the disturbance...

In this study, we investigate the crystal structure, surface energy, and atomic arrangement of Cu2O. Understanding these properties is crucial for exploring potential applications understanding behavior material. We employ Wulff construction method an artificial neural network (ANN) model to analyze relative energies different facets predict energy The ANN exhibits excellent performance, demonstrating its effectiveness in predicting material providing automated feature-learning...