Hasil untuk "Competition"

Zhe Chen, Daniel Harabor, Ryan Hechnenberger et al.

Research communities have developed benchmark datasets across domains to compare the performance of algorithms and techniques However, tracking the progress in these research areas is not easy, as publications appear in different venues at the same time, and many of them claim to represent the state-of-the-art. To address this, research communities often organise periodic competitions to evaluate the performance of various algorithms and techniques, thereby tracking advancements in the field. However, these competitions pose a significant operational burden. The organisers must manage and evaluate a large volume of submissions. Furthermore, participants typically develop their solutions in diverse environments, leading to compatibility issues during the evaluation of their submissions. This paper presents an online competition system that automates the submission and evaluation process for a competition. The competition system allows organisers to manage large numbers of submissions efficiently, utilising isolated environments to evaluate submissions. This system has already been used successfully for several competitions, including the Grid-Based Pathfinding Competition and the League of Robot Runners competition.

Ceferino Patino, Tyler J. Billings, Alireza Saleh Abadi et al.

We present the Methods for Open Agent Systems Evaluation Initiative (MOASEI) Competition, a multi-agent AI benchmarking event designed to evaluate decision-making under open-world conditions. Built on the free-range-zoo environment suite, MOASEI introduced dynamic, partially observable domains with agent and task openness--settings where entities may appear, disappear, or change behavior over time. The 2025 competition featured three tracks--Wildfire, Rideshare, and Cybersecurity--each highlighting distinct dimensions of openness and coordination complexity. Eleven teams from international institutions participated, with four of those teams submitting diverse solutions including graph neural networks, convolutional architectures, predictive modeling, and large language model--driven meta--optimization. Evaluation metrics centered on expected utility, robustness to perturbations, and responsiveness to environmental change. The results reveal promising strategies for generalization and adaptation in open environments, offering both empirical insight and infrastructure for future research. This report details the competition's design, findings, and contributions to the open-agent systems research community.

Gilad Landau, Miran Özdogan, Gereon Elvers et al.

The advance of speech decoding from non-invasive brain data holds the potential for profound societal impact. Among its most promising applications is the restoration of communication to paralysed individuals affected by speech deficits such as dysarthria, without the need for high-risk surgical interventions. The ultimate aim of the 2025 PNPL competition is to produce the conditions for an "ImageNet moment" or breakthrough in non-invasive neural decoding, by harnessing the collective power of the machine learning community. To facilitate this vision we present the largest within-subject MEG dataset recorded to date (LibriBrain) together with a user-friendly Python library (pnpl) for easy data access and integration with deep learning frameworks. For the competition we define two foundational tasks (i.e. Speech Detection and Phoneme Classification from brain data), complete with standardised data splits and evaluation metrics, illustrative benchmark models, online tutorial code, a community discussion board, and public leaderboard for submissions. To promote accessibility and participation the competition features a Standard track that emphasises algorithmic innovation, as well as an Extended track that is expected to reward larger-scale computing, accelerating progress toward a non-invasive brain-computer interface for speech.

Joanna Wyszkowska-Kuna

The aim of this article is to assess the competitiveness and specialisation of Polish knowledge-intensive business services (KIBS) export during the years 2004–2022. The product mapping method is used, which is based on the values of two indicators, i.e.: the normalised revealed comparative advantage index (NRCA) and the trade balance index (TBI). The study contributes to the academic literature by: (1) identifying the leading exported KIBS as well as KIBS with the potential to gain comparative advantage in Polish exports; (2) examining export competitiveness and specialisation in very narrow KIBS categories for the entire period of Poland's participation in European Single Market; (3) comparing the competitiveness and export specialisation of the KIBS sector in Poland in the EU and non-EU markets. The empirical results demonstrate that some of the KIBS industries in Poland have improved their competitiveness during the period of EU membership, but rather in exports outside the EU than to the EU. This may be due to strong competition in EU market and the fact that distance does not play a significant role in trade in services, especially in case of KIBS delivered online (e.g. computer services). Poland has developed a regional specialisation in the export of accountancy services, which is proved by the highest values of both indicators for this category, compared to other KIBS categories in Poland and compared to other EU countries. On the other hand, computer services appeared to be the leading exported product from the KIBS sector, but only outside the EU. Unfortunately, despite the upward trends, the importance of the leading exported KIBS in Polish exports is still small, especially in EU market. Therefore, it is necessary to take further actions aimed at strengthening the competitiveness of the KIBS sector in Poland, and the support for investments in human capital, digital transformation and R&D is crucial.

Maria Juliana Benitez Saldivar, Viviana Massoni

Nest attention has a strong effect on nestling survival and is essential for the reproductive success of the parents. Secondary cavity nesters compete intensively for access to cavities and face high risk of nest usurpation by conspecifics. We describe nest attention by both sexes in the Saffron Finch ( Sicalis flaveola pelzelni ), and compare rates of nest attention in response to experimental territorial intrusions of live male and female conspecifics. During the incubation and brooding periods, in response to intrusions by other females or males, both natural and experimental, the attending females arrived at the nest immediately. Females also stayed close to the nest during egg laying and “old” 8–9 days old nestlings’ periods, but never attacked the intruders. Attending males took more time to approach the nest but spent a lot of time close to it, during the egg laying, incubation, and “young” 4–5 days old nestling periods, especially during simulated intrusions by other males. Focal males kept intruders of both sexes at bay and physically attacked the male intruders. The observed responses could be elicited by the perceived risk of mate or cavity loss before raising a brood. This study on a multi-brooded subtropical obligate secondary cavity nester reveals sex differences of nest attention in response to the sex of conspecific intruders.

Zhou Lulu, Liu Huimin, Su Hua

<h4>Objective</h4>The purpose of this study was to examine the effect of emotion regulation on shooting performance in shooting athletes.<h4>Method</h4>Ecological momentary assessment was used to track and examine the dynamic relationship between pre-competition and in-competition emotions, emotion regulation strategy selection and use, and shooting performance in 57 shooting athletes.<h4>Results</h4>Female athletes used more regulation strategies than male athletes and had lower mean shooting scores when using disengagement strategies and lower good ten-ring percentages when using engagement strategies compared to male athletes. Elite athletes had a higher percentage of ten-ring scores when using engagement strategies than did first-level athletes, but a lower percentage of ten-ring scores when using disengagement strategies. The use of emotion regulation strategies and situational demands were not strongly related. Athletes had low flexibility in emotion regulation and were better at using disengagement strategies, but disengagement strategies were not beneficial for shooting performance.<h4>Conclusions</h4>First-level athletes have a higher contextual demand for emotion regulation and tend to use disengagement strategies more frequently to regulate emotions. Elite-level athletes have higher average ring values and ten-ring ratios when using engagement strategies under lower contextual demand and using disengagement strategies under higher contextual demand. Enhancing flexible emotional regulation training that improves situation-strategy fit may be beneficial for enhancing sports performance.

Cong Shen, Meina Wu, Minxuan Su et al.

Abstract Background The emergence of plasmid-mediated colistin resistance, primarily driven by the mcr-1 gene, represents a major global health threat. IncI2 plasmids, one of the leading carriers of mcr-1, have been frequently recovered from clinical and agricultural settings. However, their persistence in the absence of antibiotic pressure and adaptive responses to colistin exposure remain poorly understood. Methods We conducted 60-day laboratory evolution experiments using Escherichia coli C600 carrying the mcr-1-harboring IncI2 plasmid pBD110 under three colistin concentrations (0, 2, and 4 mg/L). Stability was evaluated using polymerase chain reaction (PCR). Bacterial fitness was assessed using growth curve analysis and competition assays. Antimicrobial susceptibility was determined by the broth microdilution method. Conjugation potential was examined using conjugation experiments. Genomic alterations were investigated using whole-genome sequencing combined with bioinformatic analysis. Results pBD110 was stably maintained for 120 passages under all conditions, with no significant loss observed in the absence of colistin. Under strong selection (4 mg/L), plasmid abundance increased, whereas moderate pressure (2 mg/L) led to fitness costs and reduced plasmid copy number. Whole-genome sequencing revealed distinct adaptive strategies: plasmids under non-selective conditions accumulated mutations in conjugation-related genes, enhancing transfer frequency, whereas those under colistin exposure retained structural stability but acquired shufflon inversions that impaired conjugation. Host genomes accumulated numerous chromosomal mutations, particularly in metabolic and stress response pathways, to compensate for resistance-associated burdens. Conclusions IncI2 plasmids exhibit dual evolutionary strategies. In the absence of colistin, they optimized horizontal transfer, whereas under selective pressure, they prioritized the stability and vertical inheritance of mcr-1. These findings provide new insights into the persistence and dissemination of colistin resistance and highlight evolutionary trade-offs that shape plasmid-host coadaptation.

Mingrong Wang, Longnan Ma

This paper examines the impact of import competition on skill premium and the moderating effect of labor market flexibility on it, using panel data from 30 provinces in China from 2010 to 2019. A dynamic panel threshold model with instrumental variables is employed to address the endogeneity problem and to identify the nonlinear moderating effect of labor market flexibility. The results show the following: (1) Import competition has a promoting effect on skill premium, and this effect declines from eastern to western regions in China. (2) The import competition increases the skill premium through the channels of enhancing regional innovation capacity and promoting industrial upgrading and rationalization. (3) There exists a significant threshold effect in the moderating effect of labor market flexibility. When labor market flexibility surpasses the threshold value of 1.330, the enhancing effect of import competition on the skill premium is alleviated, facilitating labor reallocation and wage adjustment. The integration of labor market flexibility into the globalization–inequality debate extends the existing literature for providing a new understanding of the mechanisms behind the skill premium. The policy implications are that targeted labor market reforms are essential for mitigating wage differentials between skilled and unskilled workers arising from intensified import competition.

Widiyanto Widiyanto, Lestari Eny, Rusdiyana Eksa et al.

The Climate Village Program (ProKlim) aims to strengthen community participation in local climate mitigation and adaptation. Although several areas in Surakarta have reached the Main Class category, sustaining community motivation remains a challenge. This study analyzes the sustainability of ProKlim by examining social, economic, and environmental factors influencing long-term engagement. Using a qualitative case study approach, data were collected through in-depth interviews, FGDs, observations, and documentation. The findings show that strong social capital and local leadership support sustainability, while fluctuating participation, dependence on external incentives, and limited cadre regeneration hinder continuity. Economic activities exist but remain small-scale. The results imply that continuous mentoring, strengthened community-based economic initiatives, and structured monitoring are essential to ensure sustained ProKlim implementation beyond assessment cycle. The result imply that continuous mentoring, strengthened community-base economic initiatives, and structured monitoring to maintain consistent ProKlim implementation beyond competition cycles. Strengthening these aspects is essential for ensuring the ling-term sustainability of Main Class ProKlim as a community-driven climate resilience initiative.

Jian Li, Yunlong Zhou, Guochao Zhao et al.

Alkali metals in fuel seriously affect the normal operation of generator sets. Using agricultural waste (AW) from a corn field as raw material, the dynamic change of alkali metal K migration and transformation and the effect of competition between chlorine and sulfur on the behavior of AW were studied systematically. The results showed that transformation between different forms of K, especially water-soluble K, occurred. At low temperatures, K remained in the ash in the form of inorganic salt, and high temperature precipitated K and formed insoluble alkali metal compounds. Via FactSage thermodynamic equilibrium calculations, it was confirmed that KCl reacted with SiO₂ to form a K₂O·nSiO₂ molten mixture in combustion. K initially existed in the form of KCl (s) and K₂SO₄ (s), high temperature promoted its transformation and decomposition, and it was eventually released as KCl (g). During combustion, Cl was more volatile than K, while S reduced the release of K and Cl through sulfation reaction to reduce the sediment viscosity.

Stephen Casper, Jieun Yun, Joonhyuk Baek et al.

Interpretability techniques are valuable for helping humans understand and oversee AI systems. The SaTML 2024 CNN Interpretability Competition solicited novel methods for studying convolutional neural networks (CNNs) at the ImageNet scale. The objective of the competition was to help human crowd-workers identify trojans in CNNs. This report showcases the methods and results of four featured competition entries. It remains challenging to help humans reliably diagnose trojans via interpretability tools. However, the competition's entries have contributed new techniques and set a new record on the benchmark from Casper et al., 2023.

Javier Rando, Francesco Croce, Kryštof Mitka et al.

Large language models are aligned to be safe, preventing users from generating harmful content like misinformation or instructions for illegal activities. However, previous work has shown that the alignment process is vulnerable to poisoning attacks. Adversaries can manipulate the safety training data to inject backdoors that act like a universal sudo command: adding the backdoor string to any prompt enables harmful responses from models that, otherwise, behave safely. Our competition, co-located at IEEE SaTML 2024, challenged participants to find universal backdoors in several large language models. This report summarizes the key findings and promising ideas for future research.

Petter Gottschalk

The theory of convenience addresses white-collar and corporate crime. The theory is applied in this article to a case study of Norwegian publishing houses having to pay infringement fees because of competition act violation. Cartel members agreed and coordinated a boycott of a distribution channel. This article reviews the research literature on cartels before presenting the convenience case study. Combatting cartels is a matter of reducing the attractiveness and convenience of joining cartels. Guardianship, oversight, and controls are at the core of reducing deviance convenience. Detection is an element of oversight. However, detection is rare, as this case illustrated by email sent by mistake. Combatting cartels is a matter of control at the top of organizations where typically each chief executive officer (CEO) is involved. Therefore, the corporate compliance officer should never report to the CEO but rather to the chairperson on the board and to the external auditor.

Ryuichiro Higashinaka, Takashi Minato, Hiromitsu Nishizaki et al.

The Dialogic Robot Competition 2023 (DRC2023) is a competition for humanoid robots (android robots that closely resemble humans) to compete in interactive capabilities. This is the third year of the competition. The top four teams from the preliminary competition held in November 2023 will compete in the final competition on Saturday, December 23. The task for the interactive robots is to recommend a tourism plan for a specific region. The robots can employ multimodal behaviors, such as language and gestures, to engage the user in the sightseeing plan they recommend. In the preliminary round, the interactive robots were stationed in a travel agency office, where visitors conversed with them and rated their performance via a questionnaire. In the final round, dialogue researchers and tourism industry professionals interacted with the robots and evaluated their performance. This event allows visitors to gain insights into the types of dialogue services that future dialogue robots should offer. The proceedings include papers on dialogue systems developed by the 12 teams participating in DRC2023, as well as an overview of the papers provided by all the teams.

Shangbang Long, Siyang Qin, Dmitry Panteleev et al.

We organize a competition on hierarchical text detection and recognition. The competition is aimed to promote research into deep learning models and systems that can jointly perform text detection and recognition and geometric layout analysis. We present details of the proposed competition organization, including tasks, datasets, evaluations, and schedule. During the competition period (from January 2nd 2023 to April 1st 2023), at least 50 submissions from more than 20 teams were made in the 2 proposed tasks. Considering the number of teams and submissions, we conclude that the HierText competition has been successfully held. In this report, we will also present the competition results and insights from them.

Wenwen Yu, Mingyu Liu, Mingrui Chen et al.

Reading seal title text is a challenging task due to the variable shapes of seals, curved text, background noise, and overlapped text. However, this important element is commonly found in official and financial scenarios, and has not received the attention it deserves in the field of OCR technology. To promote research in this area, we organized ICDAR 2023 competition on reading the seal title (ReST), which included two tasks: seal title text detection (Task 1) and end-to-end seal title recognition (Task 2). We constructed a dataset of 10,000 real seal data, covering the most common classes of seals, and labeled all seal title texts with text polygons and text contents. The competition opened on 30th December, 2022 and closed on 20th March, 2023. The competition attracted 53 participants from academia and industry including 28 submissions for Task 1 and 25 submissions for Task 2, which demonstrated significant interest in this challenging task. In this report, we present an overview of the competition, including the organization, challenges, and results. We describe the dataset and tasks, and summarize the submissions and evaluation results. The results show that significant progress has been made in the field of seal title text reading, and we hope that this competition will inspire further research and development in this important area of OCR technology.

Weijia Wu, Yuzhong Zhao, Zhuang Li et al.

Recently, video text detection, tracking, and recognition in natural scenes are becoming very popular in the computer vision community. However, most existing algorithms and benchmarks focus on common text cases (e.g., normal size, density) and single scenarios, while ignoring extreme video text challenges, i.e., dense and small text in various scenarios. In this competition report, we establish a video text reading benchmark, DSText, which focuses on dense and small text reading challenges in the video with various scenarios. Compared with the previous datasets, the proposed dataset mainly include three new challenges: 1) Dense video texts, a new challenge for video text spotter. 2) High-proportioned small texts. 3) Various new scenarios, e.g., Game, sports, etc. The proposed DSText includes 100 video clips from 12 open scenarios, supporting two tasks (i.e., video text tracking (Task 1) and end-to-end video text spotting (Task 2)). During the competition period (opened on 15th February 2023 and closed on 20th March 2023), a total of 24 teams participated in the three proposed tasks with around 30 valid submissions, respectively. In this article, we describe detailed statistical information of the dataset, tasks, evaluation protocols and the results summaries of the ICDAR 2023 on DSText competition. Moreover, we hope the benchmark will promise video text research in the community.

S. O. Buranok

The Monroe Doctrine occupies a unique place in the US history. It became one of the key foreign policy documents of its time and provided the basis for a wide variety of interpretations of the United States’ role and goals in the international arena at turning points of world history. One of these moments was the turn of the 1910s−1920s, when a new Versailles-Washington order of international relations was emerging. In the US public discourse, this period was marked by intense debates between supporters of the Democratic President V. Wilson and his isolationist opponents. Both Republicans and Democrats constantly referred to the Monroe Doctrine, on the one hand, to justify their own views on US foreign policy in the new conditions, and, on the other hand, to refute the arguments of their political opponents. The controversy surrounding the Monroe Doctrine has been reflected in publications in periodicals and analytical journals, as well as in cartoons. Studying these materials, it is possible to trace the evolution of the approaches of American politicians, experts, editors, and journalists to the Monroe Doctrine. The arguments of the Republicans against the ‘internationalist’ interpretation of the Monroe Doctrine that emerged in the face of the changing global context after the First World War are of particular interest. The study shows that at the initial stage of discussions (1920), the Monroe Doctrine was used by the Republicans primarily to criticize W. Wilson’s concept of international relations in general and his position on the League of Nations in particular. At the next stage (1921−1923), the debate focused around the need to revise the Monroe Doctrine itself, that aroused due to new trends in the development of international relations in the Far East and, in particular, because of the increasing competition between the United States and Japan. The author identifies several main approaches to the interpretation of the Monroe Doctrine formulated during the public debate in 1921−1923. It is shown that, despite significant divergences of view, both isolationists and internationalists eventually came to broader interpretations of the Monroe Doctrine, recognizing the need to extend its principles to the entire Asia-Pacific region.

Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai et al.

Although many competitions have been held on dialogue systems in the past, no competition has been organized specifically for dialogue with humanoid robots. As the first such attempt in the world, we held a dialogue robot competition in 2020 to compare the performances of interactive robots using an android that closely resembles a human. Dialogue Robot Competition 2022 (DRC2022) was the second competition, held in August 2022. The task and regulations followed those of the first competition, while the evaluation method was improved and the event was internationalized. The competition has two rounds, a preliminary round and the final round. In the preliminary round, twelve participating teams competed in performance of a dialogue robot in the manner of a field experiment, and then three of those teams were selected as finalists. The final round will be held on October 25, 2022, in the Robot Competition session of IROS2022. This paper provides an overview of the task settings and evaluation method of DRC2022 and the results of the preliminary round.

Ryuichiro Higashinaka, Takashi Minato, Hiromitsu Nishizaki et al.

The proceedings contain papers on the dialogue systems developed by the twelve teams participating in DRC2022, as well as an overview paper summarizing the competition.