Hasil untuk "Communities. Classes. Races"

Alexandre Bailleul, Mounir Hayani, Théo Untrau

We study generalized Skewes' numbers, which are the locations of the first sign change between two comparable prime counting functions. In the context of the race between quadratic residues and quadratic nonresidues, we construct sequences of highly composite moduli $q$ such that those Skewes' numbers grow very rapidly in some sense. This disproves unconditionally a conjecture of Fiorilli. In the other direction, assuming the Generalized Riemann Hypothesis and an effective linear independence hypothesis, we establish conditional upper bounds for generalized Skewes' numbers. Our approach relies on a quantitative Kronecker-Weyl theorem formulated in terms of the $1$-Wasserstein metric to obtain explicit rates of the convergence to the limiting distributions of these races.

Sunarti Sunarti, Maya Damayanti, Mardwi Rahdriawan et al.

Desa wisata rintisan memiliki potensi besar dalam pengembangan pariwisata pedesaan di Indonesia. Keunggulan kompetitif menciptakan daya saing untuk dapat menarik lebih banyak wisatawan. Namun, Desa Montongsari, Kabupaten Kendal, Provinsi Jawa Tengah yang masih dalam tahap desa wisata rintisan menghadapi tantangan dalam memanfaatkan potensi yang dimiliki. Kapasitas sumber daya yang masih rendah, sulitnya perolehan sumber pembiayaan, dan belum adanya rencana tindak yang menjadi acuan realisasi wisata menjadi permasalahan dalam mengembangkan potensi di Desa Montongsari. Keberlanjutan wisata dapat tercapai dengan pendekatan partisipatif dan pengelolaan yang terstruktur. Tujuan penelitian adalah menganalisis keunggulan kompetitif melalui Community Based Tourism (CBT) dalam pengembangan desa wisata rintisan, Desa Montongsari, Kabupaten Kendal. Metode penelitian menggunakan pendekatan kualitatif melalui Focus Group Discussion (FGD) dengan tim ahli, perangkat desa, dan masyarakat Desa Montongsari. Hasil FGD selanjutnya dianalisis menggunakan teknik analisis deskriptif kualitatif untuk menghasilkan prioritas keunggulan kompetitif. Hasil penelitian menunjukkan bahwa dalam analisis keunggulan kompetitif, daya tarik berupa event menjadi prioritas utama bagi Desa Wisata Montongsari. Hal ini didukung oleh kesiapan sumber daya, pengelola, dan masyarakat. Kebaruan penelitian adalah peran CBT dalam proses menentukan keunggulan kompetitif dan tantangan yang dihadapi. Dengan demikian, penerapan CBT dalam keunggulan kompetitif di Desa Montongsari cenderung mengintegrasikan antara partisipasi masyarakat dalam pengembangan desa wisata rintisan di Desa Montongsari.

Paweł Churski

Przedstawiamy Państwu nr 74 czasopisma „Rozwój Regionalny i Polityka Regionalna” przygotowywanego przez Wydział Geografii Społeczno-Ekonomicznej i Gospodarki Przestrzennej Uniwersytetu im. Adama Mickiewicza w Poznaniu. Stanowi on zbiór dwunastu artykułów opracowanych przez autorów z ośrodków naukowych z całej Polski w formule varia. W tym tomie autorzy poruszają problematykę polityki regionalnej, współpracy metropolitalnej, zróżnicowań przestrzennych rozwoju, w tym znaczenia zależności od ścieżki w procesach rozwoju regionalnego, wpływu uwarunkowań kulturowych na procesy rozwojowe, wyzwań programowania i wrażania przemian rewitalizacyjnych, charakteru przestrzeni publicznej oraz znaczenia dostępu do infrastruktury cyfrowej na obszarach wiejskich.

Robbe Elsermans, Jan Steckel

This paper presents a state-of-the-art Data Acquisition System designed for off-road conditions, deployed on a Team Corally Kagama 1/8 Remote Controlled Vehicle. The system is intended to support Advanced Driver Assistance Systems in an educational context by providing valuable, consistent, and representative data. Key measurement systems are discussed to enable insights into the Remote Controlled Vehicles stability during and after off-road races. Furthermore, four experiments where conducted to evaluate the Data Acquisition Systems accuracy, stability, and consistency in replicating real-world vehicle behavior. The proposed Data Acquisition System platform serves as a solid foundation for use in engineering education, enabling integration with various Advanced Driver Assistance Systems algorithms to enhance vehicle control and overall performance, offering a new dimension to off-road racing. Additionally, realtime telemetry enables verification and validation of Advanced Driver Assistance Systems algorithms based on the live operating state of the Radio Controlled Vehicle during races

Paul Péringuey, Anne de Roton

This short note answers a question raised by Nathanson \cite{Nath25} about "races" between iterated sumsets. We prove that for any integer $n$, there are finite sets of integers $A$ and $B$ with same diameter such that the signs of the elements of the sequence $(|hA|-|hB|)_h$ changes at least $n$ times. Kravitz proved in \cite{Kravitz} a much better result. This brief and modest note may serve as a stepping stone towards his work.

Christopher Bacon, Ava Gleicher, Emma McCurry et al.

The 60,000 food pantries in the United States are well known for charity-based emergency food assistance and edible food recovery, serving 53 mil­lion people in 2022 (Feeding America, 2023a). Thousands of urban gardens emphasize vegetable production and food justice, but lack strong con­nections to food pantries. We explore how food pantries and urban gardens could partner to trans­form pantries into distribution sites that also become food justice education and organizing spaces. To assess this potential, we engaged in par­ticipatory action research with a leading social ser­vices provider that offers programs supporting both organized urban gardeners and a large urban food pantry in San Jose, California. We conducted and analyzed 21 interviews with food pantry volun­teers and urban gardeners affiliated with the same agency, and eight interviews with other urban gar­deners and food pantry staff from external organi­zations. We found that while both food pantry vol­unteers and urban gardeners expressed concerns about increasing healthy food access and reducing food waste, pantry volunteers were often unfamil­iar with food justice and uncomfortable talking about race and culturally rooted food preferences. These findings were similar with the informants from external organizations. To support urban gar­dener and food pantry volunteer collaboration, we developed a food justice approach to emergency food assistance and food waste management in which both groups co-create onsite vermicompost­ing infrastructure and partner with a university to design a training program focused on diversity, jus­tice, and systemic change. 

Federica Bianchi, Rossella Moscarelli

The conquest of new public spaces is one of the main options in processes of urban regeneration. It seems essential in contemporary cities, since our life occurs more and more indoors and in private contexts, reducing the role of public and outdoor activities. Among cultural-based urban regeneration projects that operate within those spaces waiting for an improvement of the existing public functions, schools can play a particularly prominent role, as well spread and symbolic institutions with an educational mission for young people. From this perspective, the paper discusses how school squares, namely the urban areas close to the entrance of schools, can be designed and regenerated to produce a real public space where the city meets the school and vice versa. The paper presents a methodology to classify different typologies of school squares, based on an extensive analysis on over 600 school squares, located in the provinces of Milan, Turin and Varese. On the basis of such classification, some guidelines are discussed in order to propose a strategy to redesign these symbolic spaces and to conquer them as public areas.

Jaidev Shastri, Xiaoguang Wang, Basavesh Ammanaghatta Shivakumar et al.

Data race, a category of insidious software concurrency bugs, is often challenging and resource-intensive to detect and debug. Existing dynamic race detection tools incur significant execution time and memory overhead while exhibiting high false positives. This paper proposes HMTRace, a novel Armv8.5-A memory tag extension (MTE) based dynamic data race detection framework, emphasizing low compute and memory requirements while maintaining high accuracy and precision. HMTRace supports race detection in userspace OpenMP- and Pthread-based multi-threaded C applications. HMTRace showcases a combined f1-score of 0.86 while incurring a mean execution time overhead of 4.01% and peak memory (RSS) overhead of 54.31%. HMTRace also does not report false positives, asserting all reported races.

Aishwarya Upadhyay, Vijay Laxmi, Smita Naval

As technology continues to advance and we usher in the era of Industry 5.0, there has been a profound paradigm shift in operating systems, file systems, web, and network applications. The conventional utilization of multiprocessing and multicore systems has made concurrent programming increasingly pervasive. However, this transformation has brought about a new set of issues known as concurrency bugs, which, due to their wide prevalence in concurrent programs, have led to severe failures and potential security exploits. Over the past two decades, numerous researchers have dedicated their efforts to unveiling, detecting, mitigating, and preventing these bugs, with the last decade witnessing a surge in research within this domain. Among the spectrum of concurrency bugs, data races or race condition vulnerabilities stand out as the most prevalent, accounting for a staggering 80\% of all concurrency bugs. This survey paper is focused on the realm of race condition bug detectors. We systematically categorize these detectors based on the diverse methodologies they employ. Additionally, we delve into the techniques and algorithms associated with race detection, tracing the evolution of this field over time. Furthermore, we shed light on the application of fuzzing techniques in the detection of race condition vulnerabilities. By reviewing these detectors and their static analyses, we draw conclusions and outline potential future research directions, including enhancing accuracy, performance, applicability, and comprehensiveness in race condition vulnerability detection.

Federica Gaglione, David Ania Ayiine-Etigo

Starting from the relationship between urban planning and mobility management, TeMA has gradually expanded the view of the covered topics, always following a rigorous scientific in-depth analysis. This section of the Journal, Review Notes, is a continuous update about emerging topics concerning relationships among urban planning, mobility, and environment, thanks to a collection of short scientific papers written by young researchers. The Review Notes are made up of five parts. Each section examines a specific aspect of the broader information storage within the main interests of the TeMA Journal. In particular: the Town Planning International Rules and Legislation. Section aims at presenting the latest updates in the territorial and urban legislative sphere. The current challenges that today's cities have to face, from climate change to environmental and social ones, have led to urban planning being accompanied by the mobility system from a sustainable point of view. In turn, sustainable mobility constitutes that important link in the chain of development of cities. In this direction, the contribution explores in the first part how the scientific community is addressing the issue of sustainable mobility and what the new paradigms are, however, in the second part it focuses on the urban policies issued by the Italian government.

Abu Toasin Oakil, AHM Mehbub Anwar, Alma Alhussaini et al.

Saudi Arabia intends to reduce GHG emissions by 278 million tons of CO2eq annually by 2030 through Nationally Determined Contribution (NDC) to UNFCCC. Among many policies, mass transit system and transit-oriented development are being developed with the expectation to reduce energy consumption and GHG emissions in Riyadh. To what extent such initiative can reduce energy consumption and GHG emission is an important question. In this paper, a methodology to systematically measure the impact of mass transit and transit-oriented development in Riyadh city on the energy demand has been developed. For Riyadh, a comprehensive travel demand model considering the impact of mass transit and transit-oriented development is still missing. To this end, this paper aims to fill the gap. This methodology considers the state-of-the-art in travel demand analysis and the local context by combining traditional four-step model and activity-based model for modal-shift. This paper describes the methodology and its application for Riyadh by analyzing modal-shift only between car and metro. The results suggest that metro can reduce energy consumption, but the reduction varies with varying accessibility, car, and metro situations. At high urban density and higher car travel cost, we may achieve as high as 13% reduction in fuel demand.

Jonathan Francis, Bingqing Chen, Siddha Ganju et al.

We present the results of our autonomous racing virtual challenge, based on the newly-released Learn-to-Race (L2R) simulation framework, which seeks to encourage interdisciplinary research in autonomous driving and to help advance the state of the art on a realistic benchmark. Analogous to racing being used to test cutting-edge vehicles, we envision autonomous racing to serve as a particularly challenging proving ground for autonomous agents as: (i) they need to make sub-second, safety-critical decisions in a complex, fast-changing environment; and (ii) both perception and control must be robust to distribution shifts, novel road features, and unseen obstacles. Thus, the main goal of the challenge is to evaluate the joint safety, performance, and generalisation capabilities of reinforcement learning agents on multi-modal perception, through a two-stage process. In the first stage of the challenge, we evaluate an autonomous agent's ability to drive as fast as possible, while adhering to safety constraints. In the second stage, we additionally require the agent to adapt to an unseen racetrack through safe exploration. In this paper, we describe the new L2R Task 2.0 benchmark, with refined metrics and baseline approaches. We also provide an overview of deployment, evaluation, and rankings for the inaugural instance of the L2R Autonomous Racing Virtual Challenge (supported by Carnegie Mellon University, Arrival Ltd., AICrowd, Amazon Web Services, and Honda Research), which officially used the new L2R Task 2.0 benchmark and received over 20,100 views, 437 active participants, 46 teams, and 733 model submissions -- from 88+ unique institutions, in 58+ different countries. Finally, we release leaderboard results from the challenge and provide description of the two top-ranking approaches in cross-domain model transfer, across multiple sensor configurations and simulated races.

Kuźmicki Marek, Borysiuk Magdalena

Subject and purpose of work: The aim of this paper is to identify the professional expectations of students of Economics at the State School of Higher Education in Biała Podlaska. The paper presents also respondents’ opinions on particularly desirable values of potential employers.

Zakaria Bziker

Cryptocurrency is a new economy of transacting value whose use case is undeniable. Its only requirement is to be human, and it is borderless. In Morocco, cryptocurrency is erasing borders and gaining popularity. However, the general public opinion on this new innovation is unclear. This study aims to elucidate the popularity of this technology in the Kingdom by means of a small survey. The present study also investigates areas related to cryptocurrency, such as people’s trust in banks. The results from the survey are contrasted with other countries to obtain a global perspective regarding Morocco’s placement in the cryptocurrency adoption spectrum. The results also suggest that Morocco has the potential to adopt this technology. Notably, 9% of the sample population claim that they have owned, or still own, some sort of cryptocurrency. However, the country faces legal obstructions and financial restrictions that impede the progress of cryptocurrency adoption.

José Leonardo Montealegre Quijano, Julián Alonso Garzón Quiroga

En 2018, la Organización Mundial de la Salud informó que los accidentes de tránsito se han convertido en un problema de salud pública, con muertes anuales estimadas en 1.2 millones de personas. En Colombia, constituyen la segunda causa de muerte en la población, sólo después de las derivadas de enfermedades crónicas. En la ciudad de Ibagué, seis de cada 100000 habitantes mueren en las calles al año. En este trabajo estudiamos los puntos críticos de accidentabilidad de la ciudad, y encontramos como las causas principales las fallas mecánicas, así como las imprudencias y el estado de embriaguez de los conductores; asimismo, la inapropiada toma de decisiones y el desconocimiento de la forma de acceder a una glorieta (round point) se constituyen en un común denominador de accidentalidad.

Bojan Evkoski, Andraz Pelicon, Igor Mozetic et al.

We address a challenging problem of identifying main sources of hate speech on Twitter. On one hand, we carefully annotate a large set of tweets for hate speech, and deploy advanced deep learning to produce high quality hate speech classification models. On the other hand, we create retweet networks, detect communities and monitor their evolution through time. This combined approach is applied to three years of Slovenian Twitter data. We report a number of interesting results. Hate speech is dominated by offensive tweets, related to political and ideological issues. The share of unacceptable tweets is moderately increasing with time, from the initial 20% to 30% by the end of 2020. Unacceptable tweets are retweeted significantly more often than acceptable tweets. About 60% of unacceptable tweets are produced by a single right-wing community of only moderate size. Institutional Twitter accounts and media accounts post significantly less unacceptable tweets than individual accounts. In fact, the main sources of unacceptable tweets are anonymous accounts, and accounts that were suspended or closed during the years 2018-2020.

Eugene Gogol

Through an exploration of the Raya Dunayevskaya Collection, major themes of Dunayevskaya’s contribution to Marxist thought and action are presented. Her view of Marx as a philosopher of revolution in permanence, her interpretation of Lenin as a Hegelian-Marxist thinker-activist revolutionary, her reading of Hegel’s Absolutes as New Beginning for our age, her insistence that human subjects of social transformation are not alone muscle but Mind, are revolutionary Reason as well as force, and her efforts to work out and practice a dialectic of organisation and philosophy through the Marxist-Humanist organisation she founded, News and Letters Committees, are briefly discussed using documentation from her archives, which have recently been made available on the Internet. 

José Carlos Rodríguez, José María del Rosario Cañisá

The article describes general trends in the accumulation of capital in Paraguay during the last 55 years (1960-2015); the growth of the product and public and private investments in the long term. That includes boom cycles and interruptions of these cycles. The cycle of 1973-1980 begins with the construction of the Binational Dams, investments and export of commodities; the 1990- 1993 cycle with the advent of democracy, an increase in the national budget in capital investments, including human capital; The 2008-2013 cycle is generated with investment in social and capital areas - such as infrastructure - and with the export expansion of commodities. Without entering into regional and global processes, or major changes in economic policy, we observe, above all, the hardest and most stable economic relationship between investment and growth. The article concludes highlighting the strategic impact, that public investment has had at the beginning of the economic boom cycles; as well as the anti-cyclical effect of his intervention to overcome the recessive processes, as well as the limits of the process.

Jose David Fernández Rodríguez, David Daniel Albarracín Molina, Jesús Hormigo Cebolla

Oftentimes TV producers of motor-racing programs overlay visual and textual media to provide on-screen context about drivers, such as a driver's name, position or photo. Typically this is accomplished by a human producer who visually identifies the drivers on screen, manually toggling the contextual media associated to each one and coordinating with cameramen and other TV producers to keep the racer in the shot while the contextual media is on screen. This labor-intensive and highly dedicated process is mostly suited to static overlays and makes it difficult to overlay contextual information about many drivers at the same time in short shots. This paper presents a system that largely automates these tasks and enables dynamic overlays using deep learning to track the drivers as they move on screen, without human intervention. This system is not merely theoretical, but an implementation has already been deployed during live races by a TV production company at Formula E races. We present the challenges faced during the implementation and discuss the implications. Additionally, we cover future applications and roadmap of this new technological development.

Tsukasa Ishibashi, Shunsuke Kano

We give a characterization of generic pseudo-Anosov mapping classes purely in terms of their expressions in the shear coordinates, thus giving an answer to a problem raised by Papadopoulos--Penner [PP93]. This characterization has a cluster algebraic generalization called the sign stability introduced in [IK21]. By combining with the results in [IK21], we see that the algebraic entropies of the cluster $\mathcal{A}$- and $\mathcal{X}$-transformations induced by a generic pseudo-Anosov mapping class both coincide with its topological entropy.