Clinical diagnostic advances in intestinal anastomotic techniques:Hand suturing,stapling,and compression devices

The development of intestinal anastomosis techniques,including hand suturing,stapling,and compression anastomoses,has been a significant advancement in surgical practice.These methods aim to prevent leakage and minimize tissue fibrosis,which can lead to stricture formation.The healing process involves various phases:hemostasis and inflammation,proliferation,and remodeling.Mechanical staplers and sutures can cause inflammation and fibrosis due to the release of profibrotic chemokines.Compression anastomosis devices,including those made of nickel-titanium alloy,offer a minimally invasive option for various surgical challenges and have shown safety and efficacy.However,despite advancements,anastomotic techniques are evaluated based on leakage risk,with complications being a primary concern.Newer devices like Magnamosis use magnetic rings for compression anastomosis,demonstrating greater strength and patency compared to stapling.Magnetic technology is also being explored for other medical treatments.While there are promising results,particularly in animal models,the realworld application in humans is limited,and further research is needed to assess their safety and practicality.

Innovative Techniques Unveiled in Advanced Sheet Pile Curtain Design

This thorough review explores the complexities of geotechnical engineering, emphasizing soil-structure interaction (SSI). The investigation centers on sheet pile design, examining two primary methodologies: Limit Equilibrium Methods (LEM) and Soil-Structure Interaction Methods (SSIM). While LEM methods, grounded in classical principles, provide valuable insights for preliminary design considerations, they may encounter limitations in addressing real-world complexities. In contrast, SSIM methods, including the SSI-SR approach, introduce precision and depth to the field. By employing numerical techniques such as Finite Element (FE) and Finite Difference (FD) analyses, these methods enable engineers to navigate the dynamics of soil-structure interaction. The exploration extends to SSI-FE, highlighting its essential role in civil engineering. By integrating Finite Element analysis with considerations for soil-structure interaction, the SSI-FE method offers a holistic understanding of how structures dynamically interact with their geotechnical environment. Throughout this exploration, the study dissects critical components governing SSIM methods, providing engineers with tools to navigate the intricate landscape of geotechnical design. The study acknowledges the significance of the Mohr-Coulomb constitutive model while recognizing its limitations, and guiding practitioners toward informed decision-making in geotechnical analyses. As the article concludes, it underscores the importance of continuous learning and innovation for the future of geotechnical engineering. With advancing technology and an evolving understanding of soil-structure interaction, the study remains committed to ensuring the safety, stability, and efficiency of geotechnical structures through cutting-edge design and analysis techniques.

Relevance of Advanced Plant Disease Detection Techniques in Disease and Pest Management for Ensuring Food Security and Their Implication: A Review

Plant diseases and pests present significant challenges to global food security, leading to substantial losses in agricultural productivity and threatening environmental sustainability. As the world’s population grows, ensuring food availability becomes increasingly urgent. This review explores the significance of advanced plant disease detection techniques in disease and pest management for enhancing food security. Traditional plant disease detection methods often rely on visual inspection and are time-consuming and subjective. This leads to delayed interventions and ineffective control measures. However, recent advancements in remote sensing, imaging technologies, and molecular diagnostics offer powerful tools for early and precise disease detection. Big data analytics and machine learning play pivotal roles in analyzing vast and complex datasets, thus accurately identifying plant diseases and predicting disease occurrence and severity. We explore how prompt interventions employing advanced techniques enable more efficient disease control and concurrently minimize the environmental impact of conventional disease and pest management practices. Furthermore, we analyze and make future recommendations to improve the precision and sensitivity of current advanced detection techniques. We propose incorporating eco-evolutionary theories into research to enhance the understanding of pathogen spread in future climates and mitigate the risk of disease outbreaks. We highlight the need for a science-policy interface that works closely with scientists, policymakers, and relevant intergovernmental organizations to ensure coordination and collaboration among them, ultimately developing effective disease monitoring and management strategies needed for securing sustainable food production and environmental well-being.

Application of several optimization techniques for estimating TBM advance rate in granitic rocks

This study aims to develop several optimization techniques for predicting advance rate of tunnel boring machine(TBM)in different weathered zones of granite.For this purpose,extensive field and laboratory studies have been conducted along the 12,649 m of the Pahang-Selangor raw water transfer tunnel in Malaysia.Rock properties consisting of uniaxial compressive strength(UCS),Brazilian tensile strength(BTS),rock mass rating(RMR),rock quality designation(RQD),quartz content(q)and weathered zone as well as machine specifications including thrust force and revolution per minute(RPM)were measured to establish comprehensive datasets for optimization.Accordingly,to estimate the advance rate of TBM,two new hybrid optimization techniques,i.e.an artificial neural network(ANN)combined with both imperialist competitive algorithm(ICA)and particle swarm optimization(PSO),were developed for mechanical tunneling in granitic rocks.Further,the new hybrid optimization techniques were compared and the best one was chosen among them to be used for practice.To evaluate the accuracy of the proposed models for both testing and training datasets,various statistical indices including coefficient of determination(R^2),root mean square error(RMSE)and variance account for(VAF)were utilized herein.The values of R^2,RMSE,and VAF ranged in 0.939-0.961,0.022-0.036,and 93.899-96.145,respectively,with the PSO-ANN hybrid technique demonstrating the best performance.It is concluded that both the optimization techniques,i.e.PSO-ANN and ICA-ANN,could be utilized for predicting the advance rate of TBMs;however,the PSO-ANN technique is superior.

Endoscopic therapy for early gastric cancer: Standard techniques and recent advances in ESD

The technique of endoscopic submucosal dissection(ESD)is now a well-known endoscopic therapy for early gastric cancer.ESD was introduced to resect large specimens of early gastric cancer in a single piece.ESD can provide precision of histologic diagnosis and can also reduce the recurrence rate.However,the drawback of ESD is its technical difficulty,and,consequently,it is associated with a high rate of complications,the need for advanced endoscopic techniques,and a lengthy procedure time.Various advances in the devices and techniques used for ESD have contributed to overcoming these drawbacks.

Magnetic resonance enterography in Crohn’s disease: Standard and advanced techniques

Crohn's disease (CD) is a chronic autoimmune disorder that affects mainly young people. The clinical management is based on the Crohn's Disease Activity Index and especially on biologic parameters with or without additional endoscopic and imaging procedures, such as barium and computed tomography examinations. Recently, magnetic resonance (MR) imaging has been a promising diagnostic radiologic technique with lack of ionizing radiation, enabling superior tissue contrast resolution due to new pulse-sequence developments. Therefore, MR enterography has the potential to become the modality of choice for imaging the small bowel in CD patients.

Advanced Transformation Technique to Solve Multi-Objective Optimization Problems

Multi-objective optimization problem (MOOP) is an important class of optimization problem that ensures users to model a large variety of real world applications. In this paper an advanced transformation technique has been proposed to solve MOOP. An algorithm is suggested and the computer application of algorithm has been demonstrated by a flow chart. This method is comparatively easy to calculate. Applying on different types of examples, the result indicates that the proposed method gives better solution than other methods and it is less time consuming. Physical presentation and data analysis represent the worth of the method more compactly.

High Speed Digital Oscillator Implementations Based on Advanced Arithmetic and Architecture Techniques

The advances of digital arithmetic techniques permit computer designers to implement high speed application specific chips. The currently produced digital circuits have demonstrated high performance in terms of several criteria, such as, high clock rate, short input/output delay, small silicon area, and low power dissipation. In this paper, we implement several sinusoidal generation methods to optimize their performance and output using advanced digital arithmetic techniques. In this paper, the implementations of advanced digital oscillator structures with and without pipelining are proposed. The synthesis results of the implementation with pipelining have proven that it is superior to other sinusoidal generation methods in terms of the maximum frequency and signal resolution. Hence, this method is used in the design of the proposed digital oscillator chip.

Timely identification and treatment of uterine artery pseudoaneurysm after hysteroscopic procedures

Uterine artery pseudoaneurysm(UAP)is a rare but potentially life-threatening complication that can occur following hysteroscopic surgery for endometrial polyp resection.This article discusses the case study by Kakinuma et al,which highlights the successful diagnosis and treatment of UAP in a 48-year-old primiparous woman.Utilizing advanced imaging techniques such as ultrasound and computed tomography(CT),the medical team was able to promptly identify the UAP and subsequently perform a uterine artery embolization to treat the condition.The study underscores the critical need for rapid diagnosis and intervention to prevent severe outcomes and provides practical clinical recommendations for managing similar cases.This article aims to expand on the study’s findings,discuss the clinical implications,and suggest future research directions to optimize the management of UAP post-hysteroscopic surgery.

Editorial: Advances in Optical Techniques for Mechanical Measurements

Recently, optical techniques have attracted great attention due to their excellent non-destructive, non-contact, high-resolution, and full-field characteristics. Applications can be found in diverse fields such as precision mechanics and manufacturing, aerospace and automotive testing and inspection, materials science, and biomedical engineering. Advances in Optical Techniques for Me- chanical Measurements presents the latest research progresses in several widely used optical techniques with applications in preci- sion mechanical engineering.

Recent advances in imaging techniques of renal masses

Multiphasic multidetector computed tomography(CT)forms the mainstay for the characterization of renal masses whereas magnetic resonance imaging(MRI)acts as a problem-solving tool in some cases.However,a few of the renal masses remain indeterminate even after evaluation by conventional imaging methods.To overcome the deficiency in current imaging techniques,advanced imaging methods have been devised and are being tested.This review will cover the role of contrast-enhanced ultrasonography,shear wave elastography,dual-energy CT,perfusion CT,MR perfusion,diffusion-weighted MRI,blood oxygen leveldependent MRI,MR spectroscopy,positron emission tomography(PET)/prostate-specific membrane antigen-PET in the characterization of renal masses.

Knowledge and Skills in Advanced Swimming and Life-Saving Techniques: A Correlational Study

This descriptive-correlational study was conducted to determine the relationship between the knowledge and skills of the BSMT (Bachelor of Science in Maritime Transportation) students in PE (Physical Education) 2 (Advanced Swimming and Life-saving Techniques). The respondents of the study were the 40 second year BSMT students that were taken through purposive sampling. The study utilized a researcher-made questionnaire for both knowledge and skills that had undergone validity and reliability-testing. Descriptive and inferential statistics were used to analyze the data such as mean, standard deviation, and Spearman’s rho. Results revealed that their knowledge on Advanced Swimming and Life-saving Techniques was “Fair” while the skills of the second year BSMT students were “Very good”. Furthermore, the knowledge of the BSMT students had a positive correlation (substantial) with their skills on Advanced Swimming and Life-saving Techniques. The second year BSMT students are encouraged to undergo trainings and upgrading to enhance their knowledge and skills in Advanced Swimming and Life-saving Techniques in order for them to become life-long learners.

面向5G-Advanced和6G的星基移动通信网络标准技术研究

面向5G-Advanced和6G的天地一体化组网需求,移动通信标准组织开展了星基移动通信网络的架构和协议研究,呈现出支持任意网络功能实体上星的技术趋势。归纳了3GPP和ITU的标准演进路线,基于该路线提出了面向5G-Advanced星载基站架构的接口协议、移动性管理和存储转发技术,以及面向6G星载核心网的卫星信息管理功能及服务流程。所提方案分别为未来移动通信中的星载接入网和星载核心网提供了具有3GPP标准前景的架构、协议和流程参考,加速星基以及天地一体化移动通信网络的标准化和产业化。

Level of Acceptability of the Instructional Guide in Physical Education 2(Advanced Swimming Skills and Life-Saving Techniques)

This descriptive study aimed to determine the level of acceptability of the Instructional Guide in Physical Education 2(Advanced Swimming Skills and Life-Saving Techniques).The respondents of the study were the content experts currently teaching PE(Physical Education)in other universities in Iloilo and Bacolod City,Philippines together with the BSMT(Bachelor of Science Marine Transportation)students who used the instructional guide throughout the duration of the study.The instrument used to evaluate the materials was adopted from Terunez(2008)and included seven evaluation criteria to include physical aspect,language,content,objectives,instructions,learning activities,and evaluation measures.The statistical tools employed were mean,standard deviation,and rank.The results of the study revealed that the level of acceptability of the instructional guide in physical aspect was“High”which means that the material was suited to the level of the intended users.No significant difference was noted in the evaluation result of the content experts and student users.It can be concluded that the development of Instructional Guide in Physical Education 2 is deemed to be highly beneficial in enhancing learning.It is recommended that this instructional material will be utilized by other maritime institutions offering courses in Advanced Swimming and Life-Saving Techniques.

The Profound Revelation of Human Social Relations and the Profound Realization of Information Right of Citizens——The social significance of network technique advancement in the perspective of “Entity Cube”

The R＆D group of relationship searching in Microsoft Asia Research Institute explains ＂Entity Cube＂ launched in 2008 as follows：

Robust Delaunay Tetrahedronal Meshing Coupled with Advancing Front Method

A full automatic tetrahedronal mesh generation method for arbitrary 3D domains is described. First, the classic Delaunay method is coupled with simplified advancing front technique (AFT) to obtain the boundary mesh. Then, advancing front high quality point placement is used to generate internal points with optimal positions and a Delaunay method is used to insert them efficiently. Finally, optimization procedures are used for mesh quality improvements. Several application examples are presented to demonstrate the robustness and efficiency of the proposed meshing scheme.

Harmonic balance method with alternating frequency/time domain technique for nonlinear dynamical system with fractional exponential

Comparisons of the common methods for obtaining the periodic responses show that the harmonic balance method with alternating frequency/time （HB-AFT） do- main technique has some advantages in dealing with nonlinear problems of fractional exponential models. By the HB-AFT method, a rigid rotor supported by ball bearings with nonlinearity of Hertz contact and ball passage vibrations is considered. With the aid of the Floquet theory, the movement characteristics of interval stability are deeply studied. Besides, a simple strategy to determine the monodromy matrix is proposed for the stability analysis.

A two-stage short-term traffic flow prediction method based on AVL and AKNN techniques

Short-term traffic flow prediction is one of the essential issues in intelligent transportation systems(ITS). A new two-stage traffic flow prediction method named AKNN-AVL method is presented, which combines an advanced k-nearest neighbor(AKNN)method and balanced binary tree(AVL) data structure to improve the prediction accuracy. The AKNN method uses pattern recognition two times in the searching process, which considers the previous sequences of traffic flow to forecast the future traffic state. Clustering method and balanced binary tree technique are introduced to build case database to reduce the searching time. To illustrate the effects of these developments, the accuracies performance of AKNN-AVL method, k-nearest neighbor(KNN) method and the auto-regressive and moving average(ARMA) method are compared. These methods are calibrated and evaluated by the real-time data from a freeway traffic detector near North 3rd Ring Road in Beijing under both normal and incident traffic conditions.The comparisons show that the AKNN-AVL method with the optimal neighbor and pattern size outperforms both KNN method and ARMA method under both normal and incident traffic conditions. In addition, the combinations of clustering method and balanced binary tree technique to the prediction method can increase the searching speed and respond rapidly to case database fluctuations.

改良膜龈手术在牙龈退缩治疗中的应用

随着人们对美观需求的日益提升,治疗牙龈退缩已经成为牙周科临床常见的患者诉求。临床上主要通过手术的方式治疗牙龈退缩,常见的手术包括游离龈移植术、带蒂瓣技术和双层瓣技术,适应证选择恰当时,通常可以获得满意的效果,但上述术式仍存在一定的不足,如根面覆盖效果不理想等。近年来,学者们针对这些不足陆续提出了一些改良方案来治疗不同程度的牙龈退缩,如改良游离龈移植术,即包含龈乳头及游离龈的牙龈单元移植,可改善受体区血供,提高根面覆盖效果,其针对轻度退缩的部位可获得良好的根面覆盖,同时可增宽角化龈和加深前庭沟,但应用于上颌美学区时可能存在术后牙龈颜色、形态不协调,美学效果欠佳的问题。牙龈瓣采用半厚-全厚-半厚的技术进行制备的改良冠向复位瓣,用于多颗牙牙龈退缩时,以退缩最严重牙为中心的改良切口设计的冠向复位信封瓣技术,可提高根面覆盖效果。不离断龈乳头,使龈瓣形成隧道,以容纳移植物的隧道技术及各种改良的隧道技术,可以有效减少术区的组织损伤,并促进创面愈合。本文通过对各类术式的阐述和文献回顾,总结改良膜龈手术治疗牙龈退缩的临床应用及注意事项,并提出牙龈退缩的治疗方案建议,同时强调牙龈退缩的对因治疗,以达到稳定的根面覆盖效果。创伤小、疗效稳定的手术方式和治疗方法是今后膜龈手术的发展方向。