Promises and perils of using Transformer-based models for SE research.

Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we analyze 519 papers published on this topic during 2017-2023, examine the suitability of model architectures for different tasks, summarize their resource consumption, and look at the generalization ability of models on different datasets. We examine three representative pre-trained models for code: CodeBERT, CodeGPT, and CodeT5, and conduct experiments on the four topmost targeted software engineering tasks from the literature: Bug Fixing, Bug Detection, Code Summarization, and Code Search.

A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization.

This article investigates a class of constrained distributed fuzzy convex optimization problems, where the objective function is the sum of a set of local fuzzy convex objective functions, and the constraints include partial order relation and closed convex set constraints. In undirected connected node communication network, each node only knows its own objective function and constraints, and the local objective function and partial order relation functions may be nonsmooth. To solve this problem, a recurrent neural network approach based on differential inclusion framework is proposed.

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.

This paper investigates a class of power consumption minimization and equalization for intelligent and connected vehicles cooperative system. Accordingly, a distributed optimization problem model related to power consumption and data rate of intelligent and connected vehicles is presented, where the power consumption cost function of each intelligent and connected vehicle may be nonsmooth, and the corresponding control variable is subject to the constraints generated by data acquisition, compression coding, transmission and reception. We propose a distributed subgradient-based neurodynamic approach with projection operator to achieve the optimal power consumption of intelligent and connected vehicles.

A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.

In this paper, a subgradient-based neurodynamic algorithm is presented to solve the nonsmooth nonconvex interval-valued optimization problem with both partial order and linear equality constraints, where the interval-valued objective function is nonconvex, and interval-valued partial order constraint functions are convex. The designed neurodynamic system is constructed by a differential inclusion with upper semicontinuous right-hand side, whose calculation load is reduced by relieving penalty parameters estimation and complex matrix inversion. Based on nonsmooth analysis and the extension theorem of the solution of differential inclusion, it is obtained that the global existence and boundedness of state solution of neurodynamic system, as well as the asymptotic convergence of state solution to the feasible region and the set of LU-critical points of interval-valued nonconvex optimization problem.

[Inhibitory Effects of β-caryophyllene on Infection: A Randomized Double-blind, Placebo-controlled Study].

Background/aims: () infections, which cause a variety of gastrointestinal symptoms, are common in South Korea. Recent reports have shown a decline in the eradication rates. β-caryophyllene is a natural bicyclic sesquiterpene that occurs in a wide range of plant species, such as cloves, basil, and cinnamon.

[Development of Koreans Gut Quotient Measurement Scales].

Background/aims: The aim of this study was to develop 'Koreans Gut Quotient Measurement Scales (GQ)', in which Koreans respond to questionnaires about the subjective feelings and symptoms of their intestinal health status.

Methods: Among 66 items pooled from previous studies and 4 items that were added following a focus group interview, 15 items were chosen using the Delphi survey. The content validity was evaluated using the content validity ratio.

Crohn's disease confined to the duodenum: A case report.

Crohn's disease (CD) can involve any part of the gastrointestinal tract from the mouth to anus. However, gastroduodenal CD is rare with a frequency reported to range between 0.5% and 4.

Acute idiopathic pancreatitis in pregnancy: a case study.

Acute pancreatitis during pregnancy is a rare event, and can be associated with high maternal mortality and fetal loss. Gallstone disease is thought to be the most common causative factor of acute pancreatitis, but, in many cases, the cause remains unclear. We report a case of a 36-year-old woman at 35 wk of gestation, who presented with severe pain confined to the upper abdomen and radiating to the back.