Tootfinder

Sustainability Evaluation Metrics for Recommender Systems
Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran
https://arxiv.org/abs/2507.22520 …

Sustainability Evaluation Metrics for Recommender Systems
Sustainability-oriented evaluation metrics can help to assess the quality of recommender systems beyond wide-spread metrics such as accuracy, precision, recall, and satisfaction. Following the United Nations`s sustainable development goals (SDGs), such metrics can help to analyse the impact of recommender systems on environmental, social, and economic aspects. We discuss different basic sustainability evaluation metrics for recommender systems and analyze their applications.

Astrotourism for Development: An Overview of Resources from the IAU Office of Astronomy for Development
Joyful E. Mdhluli, IAU Office of Astronomy for Development
https://arxiv.org/abs/2507.15827

Astrotourism for Development: An Overview of Resources from the IAU Office of Astronomy for Development
Astrotourism has emerged as a powerful cross sectoral tool to promote science education, sustainable economic development, and cultural exchange. Recognising its potential, the International Astronomical Union's Office of Astronomy for Development (IAU OAD) has developed a suite of openly accessible resources to support individuals and institutions interested in implementing astrotourism initiatives globally. These resources also encourage individuals and existing businesses to broaden their of…

An Analytical Framework for the Linear Best-Worst Method and its Application to Achieve Sustainable Development Goals--Oriented Agri-Food Supply Chains
Harshit M. Ratandhara, Mohit Kumar
https://arxiv.org/abs/2506.17666

An Analytical Framework for the Linear Best-Worst Method and its Application to Achieve Sustainable Development Goals--Oriented Agri-Food Supply Chains
The Best-Worst Method (BWM) has emerged as a prominent multi-criteria decision-making method for determining the weights of the decision criteria. Among various BWM models, this research focuses on the linear model of the BWM. This model calculates weights by solving an optimization problem, necessitating optimization software. In this article, we present a novel framework that solves this optimization model mathematically, yielding an analytical expression for the resultant weights, thus elimi…

Toward Sustainable Vertical Farming: Impacts of Environmental Factors and Energy Mix on Performance and Costs
Francesco Ceccanti, Aldo Bischi, Umberto Desideri, Andrea Baccioli
https://arxiv.org/abs/2507.18419

Toward Sustainable Vertical Farming: Impacts of Environmental Factors and Energy Mix on Performance and Costs
The increasing interest in vertical farming arises from its ability to ensure consistent, high-quality, and pest-free vegetable production while supporting synergies with energy systems and urban development. Accordingly, standardized design and operation guidelines are essential to improve energy efficiency and lower costs. This study analyzes the production performance and energy consumption of a vertical farming system, assessing its efficiency, sustainability, and economic viability. A tota…

Unit-Modified Weibull Distribution and Quantile Regression Model
Jo\~ao In\'acio Scrimini, Cleber Bisognin, Renata Rojas Guerra, F\'abio M. Bayer
https://arxiv.org/abs/2508.17359

Unit-Modified Weibull Distribution and Quantile Regression Model
The Sustainable Development Goals (SDGs) of the United Nations consist of 17 general objectives, subdivided into 169 targets to be achieved by 2030. Several SDG indices and indicators require continuous analysis and evaluation, and most of these indices are supported in the unit interval (0,1). To incorporate the flexibility of the modified Weibull (MW) distribution in doubly constrained datasets, the first objective of this work is to propose a new unit probability distribution based on the MW…

White paper: Towards Human-centric and Sustainable 6G Services -- the fortiss Research Perspective
Rute C. Sofia, Hao Shen, Yuanting Liu, Severin Kacianka, Holger Pfeifer
https://arxiv.org/abs/2507.14209

White paper: Towards Human-centric and Sustainable 6G Services -- the fortiss Research Perspective
As a leading research institute in software-intensive systems, fortiss is actively shaping the vision of Sixth Generation Mobile Communication (6G). Our mission is to ensure that 6G technologies go beyond technical advancements and are aligned with societal needs. fortiss plays a key role in 6G initiatives worldwide, including contributions to standardization bodies and collaborative Research and Development programs. We focus on software-defined, AI-enabled, and sustainable communication servi…

On the Role of Color Temperature and Color Rendering Index of White-Light LEDs on the Theoretical Efficiency Limit of Indoor Photovoltaics
Aditi Sharma, Alexander A. Guaman, Jason A. R\"ohr
https://arxiv.org/abs/2506.20811

On the Role of Color Temperature and Color Rendering Index of White-Light LEDs on the Theoretical Efficiency Limit of Indoor Photovoltaics
As the Internet of Things (IoT) continues to grow, the demand for sustainable indoor power sources is increasing. Indoor photovoltaics (IPVs), which are currently in development, present a renewable solution but need to be designed to match specific light sources. While previous studies have emphasized the role of white-light LED color temperature (CT) in determining IPV efficiency and optimum bandgap energy, the role of color rendering index (CRI) remains less understood. In this study, we emp…

Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas
Sabab Aosaf, Muhammad Ali Nayeem, Afsana Haque, M Sohel Rahmana
https://arxiv.org/abs/2508.15240

Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas
Urban land-use allocation represents a complex multi-objective optimization problem critical for sustainable urban development policy. This paper presents novel computational intelligence approaches for optimizing land-use allocation in mixed-use areas, addressing inherent trade-offs between land-use compatibility and economic objectives. We develop multiple optimization algorithms, including custom variants integrating differential evolution with multi-objective genetic algorithms. Key contrib…

QUPER-MAn: Benchmark-Guided Target Setting for Maintainability Requirements
Markus Borg, Martin Larsson, Philip Breid, Nadim Hagatulah
https://arxiv.org/abs/2508.15512 https://

QUPER-MAn: Benchmark-Guided Target Setting for Maintainability Requirements
Maintainable source code is essential for sustainable development in any software organization. Unfortunately, many studies show that maintainability often receives less attention than its importance warrants. We argue that requirements engineering can address this gap the problem by fostering discussions and setting appropriate targets in a responsible manner. In this preliminary work, we conducted an exploratory study of industry practices related to requirements engineering for maintainabili…

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Ezzat Elokda, Andrea Censi, Emilio Frazzoli, Florian D\"orfler, Saverio Bolognani
https://arxiv.org/abs/2506.17115

A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Control systems will play a pivotal role in addressing societal-scale challenges as they drive the development of sustainable future smart cities. At the heart of these challenges is the trustworthy, fair, and efficient allocation of scarce public resources, including renewable energy, transportation, data, computation, etc.. Historical evidence suggests that monetary control -- the prototypical mechanism for managing resource scarcity -- is not always well-accepted in socio-technical resource …

Astronomy as a strategic driver for sustainable development: #Astronomy for Development is to direct astronomy towards addressing urgent societal needs.

FloGAN: Scenario-Based Urban Mobility Flow Generation via Conditional GANs and Dynamic Region Decoupling
Seanglidet Yean, Jiazu Zhou, Bu-Sung Lee, Markus Schl\"apfer
https://arxiv.org/abs/2507.12053

FloGAN: Scenario-Based Urban Mobility Flow Generation via Conditional GANs and Dynamic Region Decoupling
The mobility patterns of people in cities evolve alongside changes in land use and population. This makes it crucial for urban planners to simulate and analyze human mobility patterns for purposes such as transportation optimization and sustainable urban development. Existing generative models borrowed from machine learning rely heavily on historical trajectories and often overlook evolving factors like changes in population density and land use. Mechanistic approaches incorporate population de…

Leveraging Sidewalk Robots for Walkability-Related Analyses
Xing Tong, Michele D. Simoni, Kaj Munhoz Arfvidsson, Jonas M{\aa}rtensson
https://arxiv.org/abs/2507.12148

Leveraging Sidewalk Robots for Walkability-Related Analyses
Walkability is a key component of sustainable urban development, while collecting detailed data on its related features remains challenging due to the high costs and limited scalability of traditional methods. Sidewalk delivery robots, increasingly deployed in urban environments, offer a promising solution to these limitations. This paper explores how these robots can serve as mobile data collection platforms, capturing sidewalk-level features related to walkability in a scalable, automated, an…

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
Ciro Beneduce, Tania Gull\'on Mu\~noz-Repiso, Bruno Lepri, Massimiliano Luca
https://arxiv.org/abs/2506.13385

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
Mobility patterns play a critical role in a wide range of societal challenges, from epidemic modeling and emergency response to transportation planning and regional development. Yet, access to high-quality, timely, and openly available mobility data remains limited. In response, the Spanish Ministry of Transportation and Sustainable Mobility has released daily mobility datasets based on anonymized mobile phone data, covering districts, municipalities, and greater urban areas from February 2020 …

Cylindrical RIS-Assisted Low-Complexity Transmission with Differentiated Visible Regions Exploiting Statistical CSI
Wenjun Teng, Weicong Chen, Yiping Zuo, Wankai Tang, Shi Jin
https://arxiv.org/abs/2508.12229

Cylindrical RIS-Assisted Low-Complexity Transmission with Differentiated Visible Regions Exploiting Statistical CSI
Reconfigurable intelligent surfaces (RIS), recognized as a critical enabler for 6G networks, exhibit unprecedented capabilities in electromagnetic wave manipulation and wireless channel reconfiguration. By leveraging existing network infrastructure, RIS can cost-effectively create signal hotspots in low-altitude environments, ensuring robust connectivity to support the sustainable development of the low-altitude economy. However, achieving optimal phase shift design in multi-user scenarios face…

This https://arxiv.org/abs/2506.01495 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
Ensuring that Large Language Models (LLMs) align with mainstream human values and ethical norms is crucial for the safe and sustainable development of AI. Current value evaluation and alignment are constrained by Western cultural bias and incomplete domestic frameworks reliant on non-native rules; furthermore, the lack of scalable, rule-driven scenario generation methods makes evaluations costly and inadequate across diverse cultural contexts. To address these challenges, we propose a hierarchi…

Mixed platinum and zirconia powder as electrocatalyst for hydrogen evolution and oxidation reaction
Simone Minelli, Manuel Iozzia, Claudio Piazzoni, Alberto Vertova, Cristina Lenardi, Alessandro Minguzzi
https://arxiv.org/abs/2506.14819

Mixed platinum and zirconia powder as electrocatalyst for hydrogen evolution and oxidation reaction
The development of efficient and cost-effective bifunctional electrocatalysts for hydrogen-related technologies is crucial for the transition to sustainable energy. In this work, we present Pt@ZrO2 as a high-performance ceramic-based electrocatalyst for the hydrogen evolution reaction (HER) and hydrogen oxidation reaction (HOR), demonstrating superior activity and stability in alkaline conditions. Compared to Pd@ZrO2, previously investigated in our earlier work, Pt@ZrO2 exhibits significantly l…

Käytiin huomisen hääpäivän johdosta fine-dining-ravintolassa. Nolla, Fredrikinkadulla. Ihanaa ruokaa. Viiden ruokalajin maiskuttelu- eikun maistelumenu. Tähän mahtuu vain neljä kuvaa joten ensimmäinen jätetty pois.
https://restaurantnolla.com

Restaurant Nolla - Great food in hand with sustainability
We want to show that tasty and imaginative food can be produced based on sustainable development values, without producing waste.

AviationLLM: An LLM-based Knowledge System for Aviation Training
Jia'ang Wan, Feng Shen, Fujuan Li, Yanjin Sun, Yan Li, Shiwen Zhang
https://arxiv.org/abs/2506.14336

AviationLLM: An LLM-based Knowledge System for Aviation Training
Aviation training is a core link in ensuring flight safety, improving industry efficiency and promoting sustainable development. It not only involves flight simulation but also requires the learning of a great deal of professional aviation theory knowledge. In the existing training system, the knowledge is mainly imparted by the the instructors. However, the number of instructors is limited and the professional answers obtained from the Internet are not accurate enough, resulting in low trainin…

⛽ Novel method to convert carbon dioxide into methanol, paving the way for green energy solutions
#fuel

Novel method to convert carbon dioxide into methanol, paving the way for green energy solutions
A research team affiliated with UNIST has made a significant breakthrough in sustainable technology through the development of a method to convert carbon dioxide (CO₂) into methanol—a process that could play a vital role in reducing greenhouse gas emissions and producing environmentally friendly fuels.

Something construction has in common with programming; tearing down and making from scratch always seems more tempting than fixing and restoring what exists. Surely we will get it right this time. Yet these rebuilds have an enormous cost. We need more of a continuous improvement mindset in both of these fields. For more sustainable development

Energy consumption optimization and self-powered environmental monitoring design for low-carbon smart buildings
Yuhan Dai, Mingtong Chen, Zhengbao Yang
https://arxiv.org/abs/2507.15169

Energy consumption optimization and self-powered environmental monitoring design for low-carbon smart buildings
Despite the growing emphasis on intelligent buildings as a cornerstone of sustainable urban development, significant energy inefficiencies persist due to suboptimal design, material choices, and user behavior. The applicability of integrated Building Information Modeling (BIM) and solarpowered environmental monitoring systems for energy optimization in low-carbon smart buildings remains underexplored. Can BIM-driven design improvements, combined with photovoltaic systems, achieve substantial en…

Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development
Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden
https://arxiv.org/abs/2506.08812

Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development
With the climate crisis looming, engineering sustainable software systems become crucial to optimize resource utilization, minimize environmental impact, and foster a greener, more resilient digital ecosystem. For developers, getting access to automated tools that analyze code and suggest sustainabilityrelated optimizations becomes extremely important from a learning and implementation perspective. However, there is currently a dearth of such tools due to the lack of standardized knowledge, whi…

Collaborative Charging Scheduling via Balanced Bounding Box Methods
Fangting Zhou, Bal\'azs Kulcs\'ar, Jiaming Wu
https://arxiv.org/abs/2506.14461 …

Collaborative Charging Scheduling via Balanced Bounding Box Methods
Electric mobility faces several challenges, most notably the high cost of infrastructure development and the underutilization of charging stations. The concept of shared charging offers a promising solution. The paper explores sustainable urban logistics through horizontal collaboration between two fleet operators and addresses a scheduling problem for the shared use of charging stations. To tackle this, the study formulates a collaborative scheduling problem as a bi-objective nonlinear integer…

Orchestrating the Implementation of the Smart City
Filippo Marchesani
https://arxiv.org/abs/2507.12267 https://arxiv.org/pdf/2507.122…

Orchestrating the Implementation of the Smart City
This chapter explores the six core dimensions of smart cities (i.e. smart economy, mobility, environment, people, living, and governance) emphasizing their interdependence and the need for holistic orchestration. Building on Giffinger et al. (2007) and subsequent literature, it argues that integrating these dimensions is crucial for sustainable urban development. ICT plays a key enabling role but must be complemented by human and social capital. Through institutional examples, such as the creat…

Resistance Technologies: Moving Beyond Alternative Designs
Iness Ben Guirat, Jan Tobias M\"uhlberg
https://arxiv.org/abs/2508.05223 https://arxiv.org/…

Resistance Technologies: Moving Beyond Alternative Designs
The discourse about sustainable technology has emerged from the acknowledgment of the environmental collapse we are facing. In this paper, we argue that addressing this crisis requires more than the development of sustainable alternatives to current online services or the optimization of resources using various dashboards and AI. Rather, the focus must shift toward designing technologies that protect us from the consequences of the environmental damages. Among these consequences, wars, genocide…

Rethinking Growth: An Extension of the Solow-Swan Model
Timothy F. Power, Roman G. Smirnov
https://arxiv.org/abs/2506.10864 https://a…

Rethinking Growth: An Extension of the Solow-Swan Model
The aggregate Cobb-Douglas production function stands as a central element in the renowned Solow-Swan model in economics, providing a crucial theoretical framework for comprehending the determinants of economic growth. This model not only guides policymakers and economists but also influences their decisions, fostering sustainable and inclusive development. In this study, we utilize a one-input version of a new generalization of the Cobb-Douglas production function proposed recently, thereby ex…

Deep ultraviolet resonant Raman (DUVRR) spectroscopy for spectroscopic evaluation and disinfection of food and agricultural samples
Joseph T. Harrington, Vsevolod Cheburkanov, Mykyta Kizilov, Ilya Kulagin, Georgi Petrov, Vladislav V. Yakovlev
https://arxiv.org/abs/2507.04199

Deep ultraviolet resonant Raman (DUVRR) spectroscopy for spectroscopic evaluation and disinfection of food and agricultural samples
The increasing demands on modern plant and food production due to climate change, regulatory pressures, and the Sustainable Development Goals necessitate advanced photonic technologies for improved sustainability. Deep ultraviolet resonant Raman (DUVRR) spectroscopy offers precise spectral fingerprinting and potential disinfection capabilities, making it a promising tool for agricultural and food sciences. We developed a cost-effective, portable DUVRR spectroscopy system using a mercury (Hg) la…

Integrated Switched Capacitor Array and Synchronous Charge Extraction with Adaptive Hybrid MPPT for Piezoelectric Harvesters
Pramit Karmakar, Siddharth B, Chinmay Murlidhar Kadnur Rao
https://arxiv.org/abs/2507.12163

Integrated Switched Capacitor Array and Synchronous Charge Extraction with Adaptive Hybrid MPPT for Piezoelectric Harvesters
Energy Harvesting technologies will play a fundamental role in the development of the next generation of electronic systems as well as in advancing the development of sustainable infrastructure. One of the critical challenges in EH is utilizing ambient vibrations to harvest energy. Piezo Energy Harvesting, which uses ambient vibrations, is a promising technology in energy harvesting and a self-powered technology. However, it suffers from several practical challenges. Some of these challenges in…

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
Mohammad Azami, Pierre-Lucas Aubin-Fournier, Mehdi Hojjati, Krzysztof Skonieczny
https://arxiv.org/abs/2508.00894

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
As humanity advances toward long-term lunar presence under NASA's Artemis program, the development of lunar-based manufacturing and construction (LBMC) capabilities has become increasingly critical. The high cost of transporting materials from Earth makes in-situ resource utilization (ISRU) essential, with lunar regolith serving as a promising local feedstock. Additive manufacturing (AM) offers a compelling platform for LBMC due to its geometric flexibility, material efficiency, and capacity fo…

We Are AI: Taking Control of Technology
Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
https://arxiv.org/abs/2506.08117

We Are AI: Taking Control of Technology
Responsible AI (RAI) is the science and practice of ensuring the design, development, use, and oversight of AI are socially sustainable--benefiting diverse stakeholders while controlling the risks. Achieving this goal requires active engagement and participation from the broader public. This paper introduces "We are AI: Taking Control of Technology," a public education course that brings the topics of AI and RAI to the general audience in a peer-learning setting. We outline the goals behind t…

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Tianhui Liu, Jie Feng, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Yong Li
https://arxiv.org/abs/2506.00530

CityLens: Benchmarking Large Language-Vision Models for Urban Socioeconomic Sensing
Understanding urban socioeconomic conditions through visual data is a challenging yet essential task for sustainable urban development and policy planning. In this work, we introduce $\textbf{CityLens}$, a comprehensive benchmark designed to evaluate the capabilities of large language-vision models (LLVMs) in predicting socioeconomic indicators from satellite and street view imagery. We construct a multi-modal dataset covering a total of 17 globally distributed cities, spanning 6 key domains: e…

When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search
William A. Ingram, Bipasha Banerjee, Edward A. Fox
https://arxiv.org/abs/2507.02139 …

When LLMs Disagree: Diagnosing Relevance Filtering Bias and Retrieval Divergence in SDG Search
Large language models (LLMs) are increasingly used to assign document relevance labels in information retrieval pipelines, especially in domains lacking human-labeled data. However, different models often disagree on borderline cases, raising concerns about how such disagreement affects downstream retrieval. This study examines labeling disagreement between two open-weight LLMs, LLaMA and Qwen, on a corpus of scholarly abstracts related to Sustainable Development Goals (SDGs) 1, 3, and 7. We is…

Sustainability, behavior patterns and crises
R. Vilela Mendes
https://arxiv.org/abs/2507.00892 https://arxiv.org/pdf/2507.00892

Sustainability, behavior patterns and crises
Sustainability has been defined as meeting the needs of the present without compromising the ability of future generations to meet their own needs. But what are the needs of the present? And are they met? From the poor performance of the 2030 Sustainable Development Goals (SDG), defined by the UN in 2015, not even the collective needs of the present seem to be met. How to expect not to compromise the needs of the future? Is the achievement of global world goals incompatible with the characteris…

Towards a Science of Developer eXperience (DevX)
Benoit Combemale
https://arxiv.org/abs/2506.23715 https://arxiv.org/pdf/2506.23715…

Towards a Science of Developer eXperience (DevX)
As software continues to permeate nearly every facet of modern life, the complexity and ubiquity of digital services underscore the need for sustainable, effective, and inclusive software development practices. Although software engineering has made significant progress in technical challenges since its inception, the human experience of those involved in software creation, broadly defined as developers, remains underexplored. This column advocates for the formal recognition of Developer eXperi…

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Chi Liu, Zhezhuang Xu, Jiawei Zhou, Yazhou Yuan, Kai Ma, Meng Yuan
https://arxiv.org/abs/2506.06824

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Green buildings (GBs) with renewable energy and building energy management systems (BEMS) enable efficient energy use and support sustainable development. Electric vehicles (EVs), as flexible storage resources, enhance system flexibility when integrated with stationary energy storage systems (ESS) for real-time scheduling. However, differing degradation and operational characteristics of ESS and EVs complicate scheduling strategies. This paper proposes a model-free deep reinforcement learning (…