Unconstrained Fuzzy C-Means Algorithm.

Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster center matrix. FCM achieves effective results in clustering tasks. However, due to many constraints, the objective function is inconvenient to optimize directly and is prone to converges to a suboptimal local minimum, which affects the clustering performance.

Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.

Boosting is a well-established ensemble learning approach that aims to enhance overall performance by combining multiple weak learners with a linear combination structure. It operates on the principle of using new learners to compensate for the shortcomings of previous learners and is known for its ability to reduce computational resource requirements while mitigating the risks of overfitting. However, from the perspective of convex optimization, it becomes apparent that classical boosting methods often converge to local optima rather than global optima when minimizing the target loss due to its greedy strategy.

Fast Co-clustering via Anchor-guided Label Spreading.

The attention towards clustering using anchor graph has grown due to its effectiveness and efficiency. As the most representative points in original data, anchors are also regarded as connecting the sample space to the label space. However, when there is noise in original data, the anchor-guided label spreading may fail.

Qianggu Decoction Alleviated Osteoporosis by Promoting Osteogenesis of BMSCs through Mettl3-Mediated mA Methylation.

Osteoporosis development is linked to abnormal bone marrow mesenchymal stem cells (BMSCs) differentiation. N6-methyladenosine (mA), a prevalent mRNA modification, is known to influence BMSCs' osteogenic capacity. Qianggu decoction (QGD), a traditional Chinese medicine for osteoporosis, has unknown effects on BMSCs differentiation.

Nonlinear Locality-Preserving Projections With Dynamic Graph Learning.

The affinity graph is regarded as a mathematical representation of the local manifold structure. The performance of locality-preserving projections (LPPs) and its variants is tied to the quality of the affinity graph. However, there are two drawbacks in current approaches.

[Single mini-incision combined with honeycomb titanium plate in treatment of acute acromioclavicular joint dislocation].

Objective: To explore clinical effect of single small incision with honeycomb titanium plate in treating acute acromioclavicular dislocation.

Methods: The clinical data of 40 patients with acute acromioclavicular dislocation admitted from December 2019 to December 2021 were retrospectively analyzed and divided into two groups according to different surgical methods. Among them, 20 patients were fixed with single small incision with honeycomb titanium plate (titanium plate group), including 11 males and 9 females, aged from 23 to 65 years old with an average of (47.

Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains.

Clustering is a fundamental topic in machine learning and various methods are proposed, in which K-Means (KM) and min cut clustering are typical ones. However, they may produce empty or skewed clustering results, which are not as expected. In KM, the constrained clustering methods have been fully studied while in min cut clustering, it still needs to be developed.

Discriminative and Robust Autoencoders for Unsupervised Feature Selection.

Many recent research works on unsupervised feature selection (UFS) have focused on how to exploit autoencoders (AEs) to seek informative features. However, existing methods typically employ the squared error to estimate the data reconstruction, which amplifies the negative effect of outliers and can lead to performance degradation. Moreover, traditional AEs aim to extract latent features that capture intrinsic information of the data for accurate data recovery.

Fast Clustering With Anchor Guidance.

Clustering aims to partition a set of objects into different groups through the internal nature of these objects. Most existing methods face intractable hyper-parameter problems triggered by various regularization terms, which degenerates the applicability of models. Moreover, traditional graph clustering methods always encounter the expensive time overhead.

Simultaneous determination of isoxaflutole and its two metabolites in corn under field conditions by LC-MS/MS.

Objective: An improved QuEChERS method was established and verified for simultaneous determination of isoxaflutole and its metabolites diketonitrile and benzoic acid analogue residues in corn and plants. This method was mainly used to study the digestion rule and final residue level of isoxaflutole and its metabolites in corn and plants. It was hoped that the safe use of isoxaflutole in corn can be achieved eventually.

Unsupervised Subspace Learning With Flexible Neighboring.

Graph-based subspace learning has been widely used in various applications as the rapid growth of data dimension, while the graph is constructed by affinity matrix of input data. However, it is difficult for these subspace learning methods to preserve the intrinsic local structure of data with the high-dimensional noise. To address this problem, we proposed a novel unsupervised dimensionality reduction approach named unsupervised subspace learning with flexible neighboring (USFN).

[Prospective study on the effect of parecoxib sodium analgesia on pain and stress response after surgery in elderly patients with hip fracture].

Objective: To investigate the effect of parecoxib sodium preemptive analgesia on pain and stress response after surgery in elderly hip fracture patients.

Methods: The clinical data of 70 elderly patients with hip fracture treated in our hospital from October 2017 to October 2019 were prospectively analyzed. According to different analgesic patterns, 35 cases were randomly divided into experimental group, aged 65 to 86(78.

Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.

The rapid growth of the number of data brings great challenges to clustering, especially the introduction of multi-view data, which collected from multiple sources or represented by multiple features, makes these challenges more arduous. How to clustering large-scale data efficiently has become the hottest topic of current large-scale clustering tasks. Although several accelerated multi-view methods have been proposed to improve the efficiency of clustering large-scale data, they still cannot be applied to some scenarios that require high efficiency because of the high computational complexity.

Comprehensive gastroenterology endoscopy unit workflow and infection prevention during the COVID-19 Pandemic: Experience with 159 cases in Wuhan, China.

During the outbreak of the novel coronavirus disease (COVID-19) in Wuhan, the gastroenterology department of our hospital performed gastrointestinal endoscopy procedures using strict infection control measures. Thorough screening of incoming patients, separation of diagnostic and treatment areas, regional management, hierarchical protection, disinfection protocols, and other measures were enforced to prevent virus transmission during endoscopic treatments. During the COVID-19 pandemic, between February and March 2020, 159 endoscopic examinations and treatments were performed, including emergency endoscopy for 17 patients.

Identifying Metabolic Perturbations and Toxic Effects of -Metalaxyl and Metalaxyl-M in Mice Using Integrative NMR and UPLC-MS/MS Based Metabolomics.

Although metabolic perturbations are sensitive indicators for low-dose toxic effects, the metabolic mechanisms affected by -metalaxyl and metalaxyl-M in mammals from a metabolic profiling perspective remain unclear. In this study, the metabolic perturbations and toxic effects of -metalaxyl and metalaxyl-M in mice were carefully investigated using integrative nuclear magnetic resonance (NMR) and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) based metabolomics. Histopathology, NMR-based untargeted urine profile, multivariate pattern recognition, metabolite identification, pathway analysis, UPLC-MS/MS based targeted serum amino acids, and tryptophan pathway analysis were determined after -metalaxyl and metalaxyl-M exposure, individually.

[Application of accelerated rehabilitation program for the treatment of intertrochanteric fracture of femur in the elderly].

Objective: To evaluate the clinical value of accelerated rehabilitation in the treatment of intertrochanteric fracture of femur in the elderly.

Methods: Eighty elderly patients with intertrochanteric fractures were selected from January 2016 to October 2018, and were divided into accelerated rehabilitation group and traditional rehabilitation group according to different treatment schemes, 40 cases in each group. There were 22 males and 18 females in accelerated rehabilitation group with an average age of (78.

Chrysin protects human osteoarthritis chondrocytes by inhibiting inflammatory mediator expression via HMGB1 suppression.

High‑mobility group box chromosomal protein (HMGB‑1) contributes to osteoarthritis (OA) by modulating various oxidative, inflammatory and apoptotic signaling pathways. The effect of chrysin (CH), a natural plant flavonoid, and its functional interaction with HMGB‑1, was investigated in a chondrocyte model of OA. Human chondrocytes were pre‑treated with CH, and then subsequently treated with IL‑1β to induce the formation of chondrocytes similar to those found in OA joints.

[Application of the computer-assisted virtual reduction combined with 3D printing technique in acetabular fractures].

Objective: To investigate the computer-assisted virtual reduction combined with 3D printing technique as preoperative planning and assess their therapeutic effects.

Methods: Thirty-five cases of acetabular fracture treated by internal fixation from March 2011 and March 2014 were retrospectively analyzed. All patients underwent operations with internal fixations implanted.

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.

The locality preserving projections (LPP) algorithm is a recently developed linear dimensionality reduction algorithm that has been frequently used in face recognition and other applications. However, the projection matrix in LPP is not orthogonal, thus creating difficulties for both reconstruction and other applications. As the orthogonality property is desirable, orthogonal LPP (OLPP) has been proposed so that an orthogonal projection matrix can be obtained based on a step by step procedure; however, this makes the algorithm computationally more expensive.

[Application of rafting K-wire technique for tibial plateau fractures].

Objective: To summarize application of rafting K-wires technique for tibial plateau fractures.

Methods: From January 2013 to January 2015,45 patients with tibial plateau fractures were treated by locking plate with rafting K-wires, including 33 males and 12 females with an average of 44.2 years old ranging from 22 to 56 years old.

The Effect of Timing on the Treatment and Outcome of Combined Fourth and Fifth Carpometacarpal Fracture Dislocations.

Purpose: In this study, we designed a prospective project to test the hypothesis that acute fourth and fifth carpometacarpal (CMC) fracture dislocations can be treated conservatively with good restoration of strength, range of motion (ROM), and function, whereas patients with delayed treatment of fourth and fifth CMC fracture dislocations should be treated with open reduction and internal fixation (ORIF).

Methods: We evaluated the results of 20 patients with acute and 6 patients with subacute fourth and fifth CMC fracture dislocations. All 20 acute CMC fracture dislocations were treated conservatively, whereas 3 of the 6 patients with subacute injuries underwent operative intervention.

Associations between the dietary intake of antioxidant nutrients and the risk of hip fracture in elderly Chinese: a case-control study.

The role of oxidative stress in skeletal health is unclear. The present study investigated whether a high dietary intake of antioxidant nutrients (vitamins C and E, β-carotene, animal-derived vitamin A, retinol equivalents, Zn and Se) is associated with a reduced risk of hip fracture in elderly Chinese. This 1:1 matched case-control study involved 726 elderly Chinese with hip fracture and 726 control subjects, recruited between June 2009 and May 2013.