In this paper, we present a novel approach to synthesize realistic images based on their semantic layouts. It hypothesizes that for objects with similar appearance, they share representation. Our method establishes dependencies between regions according appearance correlation, yielding both spatially variant and associated representations. Conditioning these features, propose dynamic weighted network constructed by conditional computation (with convolution normalization). More than...

Network model recently becomes a popular tool for studying complex systems. Detecting meaningful communities in networks, as an important task network modeling and analysis, has attracted great interests various research areas. This paper proposes genetic algorithm with special encoding schema community detection networks. The employs metric, named modularity Q the fitness function applies locus-based adjacency to represent partitions. enables determine number of adaptively automatically,...

Open source developers, particularly the elite developers who own administrative privileges for a project, maintain diverse portfolio of contributing activities. They not only commit code but also exert significant efforts on other communicative, organizational, and supportive However, almost all prior research focuses specific activities fails to analyze developers’ in comprehensive way. To bridge this gap, we conduct an empirical study with fine-grained event data from 20 large open...

Meteorological factors (MF) are crucial in day-ahead load forecasting as they significantly influence the electricity consumption behaviors of consumers. Numerous studies have incorporated MF into model to achieve higher accuracy. Selecting from one representative location or averaged inputs is a common practice. However, difference collected various locations within region may be significant, which poses challenge selecting appropriate numerous locations. A representation learning framework...

Introduction : Digital products increasingly reshape industries, influencing human behavior and decision-making. However, the software development teams developing these systems often lack diversity, which may lead to designs that overlook needs, equal treatment or safety of diverse user groups. These risks highlight need for fostering diversity inclusion in create safer, more equitable technology. Method This research is based on insights from an academic meeting June 2023 involving 23...

Coral reefs play a crucial role in marine ecosystems, offering nutrient-rich environment and safe shelter for numerous species. Automated coral image recognition aids monitoring ocean health at scale without experts' manual effort. Recently, large vision-language models like CLIP have greatly enhanced zero-shot low-shot classification capabilities various visual tasks. However, these struggle with fine-grained coral-related tasks due to lack of specific knowledge. To bridge this gap, we...

Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of ChatGPT. Many believe that they have potential to perform general-purpose problem-solving software development and replace human developers. Nevertheless, there are a lack serious investigation into capability these LLM techniques fulfilling tasks. In controlled 2 × between-subject experiment with 109...

Baseline trust, which refers to the personality aspect of trust and varies with different individuals, is essential for understanding development cooperation in a team. At same time, informal, non-work-related conversations (aka, cheap talk) have positive influences on diffusion global software engineering (GSE) practice. This paper seeks develop an individuals' baseline cooperation, presence talk over Internet. We employ novel approach, designing virtual experiment that integrates abstract...

Attracting and retaining newcomers are critical aspects for OSS projects, as such projects rely on newcomers' sustainable contributions. Considerable effort has been made to help by identifying overcoming the barriers during onboarding process. However, most eventually fail drop out of their even after successful onboarding. Meanwhile, it long known that individuals' early career stages profoundly impact long-term success. careers less investigated in SE research. In this paper, we sought...

We seek to identify how open source software (OSS) projects adopt bot services from a diverse set of selections. Our empirical research examines usage in the most popular OSS repositories GitHub.

Traditional integrated development environments (IDEs) provide developers with robust for writing, testing, debugging, and deploying code. As the world becomes increasingly networked more services are delivered via cloud, it is only natural that functionality of IDEs be cloud. In addition to simplifying provisioning deployment new IDE features, making easier integrate other web native tools, cloud based some fundamental advantages when comes understanding behavior a wide community software...

Trust between developers influences the success of open source software (OSS) projects. Although existing research recognizes importance trust, there is a lack an effective and scalable computational method to measure trust in OSS community. Consequently, project members must rely on subjective inferences based fragile incomplete information for trust-related decision making. We propose automated approach assist developer identifying trustworthiness another developer. Our two-fold approach,...

Open Source Software (OSS) development has attracted numerous developers. As a typical complex sociotechnical system, an OSS project often forms hierarchical social structure where few developers are elite while the rest non-elite. Differences in status may result distinct language use behaviors interpersonal communication. Characterizing such is critical for supporting efficient and effective communication among with different statuses. This study empirically compared non-elite developers'...

This study aimed to automatically segment knee computed tomography (CT) images of tibial plateau fractures using a three-dimensional (3D) U-net-based method, accurately construct 3D maps fractures, and examine their usefulness for Schatzker classification in clinical practice.

Abstract We present a probabilistic extension of action language ${\cal BC}$+$ . Just like is defined as high-level notation answer set programs for describing transition systems, the proposed language, which we call p , LP MLN programs—a programs. show how reasoning about such prediction, postdiction, and planning problems, well diagnosis dynamic domains, can be modeled in computed using an implementation

Abstract In order to research the ability of AGV cope with dynamic path planning in mobile single-object environment, methods based on reduced point and non-reduced were proposed. This paper focuses method moving targets, adopts combining historical data real-time data, establishing NAR neural network prediction model predict velocity target, connecting A * algorithm, through example simulation experiment, results show that effective success rate algorithm reaches 77.5% map environment set...

Emerging evidence suggests a potential link between psychological distress (anxiety and depression) lung cancer risk, however, it is unclear whether other factors such as tobacco smoking genetic susceptibility modify the association.We included 405,892 UK Biobank participants free of at baseline. Psychological was measured using Patient Health Questionnaire-4 (PHQ-4). A polygenic risk score (PRS) calculated 18 cancer-associated loci. Multivariable Cox regression models were used to estimate...

Sea surface temperature (SST) is uniquely important to the Earth's atmosphere since its dynamics are a major force in shaping local and global climate profoundly affect our ecosystems. Accurate forecasting of SST brings significant economic social implications, for example, better preparation extreme weather such as severe droughts or tropical cyclones months ahead. However, task faces unique challenges due intrinsic complexity uncertainty ocean systems. Recently, deep learning techniques,...

After stepping into the later period of heavy chemical industry, China faces a serious problem on imbalance between energy supply and demand. Improving efficiency is positive fact in settlement this predicament. Therefore, it imperative for decision makers to know influencing factors efficiency. This paper uses DEA-Tobit analysis, two-stage procedure, research impacts Beijing based data from 2000 2006. In stage 1 DEA, total-factor calculated by DEA-Malmquist method. 2 scores obtained DEA are...

Emotions are an integral part of human nature. Emotion awareness is critical to any form interpersonal communication and collaboration, including these in the software development process. Recently, SE community starts having growing interests emotion development. While researchers have accomplished many valuable results, most extant research ignores dynamic nature emotion. To investigate dynamics, needs effective approach capture model dynamics rather than focuses on extracting isolated...

The proposal of Social Internet Thing (SIoT) creates interesting opportunity for things to establish social relationships among themselves. In this paper, we believe that policy management service is an efficient and flexible solution the resource interactive scenarios access control in SIoT. This paper firstly provides a survey on several general languages evaluates them with three key requirements performance evaluation under SIoT scene. Then, select Ponder as our language design editing...

In order to accomplish the task of evaluating video stabilization, we divided videos into four classes according state cameras and moving targets in monitoring areas.It also analyzed difficulties stabilization each condition.As PSNR(peak signal noise ratio) becomes disabled with cameras, proposed a novel evaluation method based on VIA(variation intersection angles) between global motion vectors.In decrease influences PSNR caused by objects FOV(field view), computed overlapping background...