ethicalabs/Research-Intent-Collab huggingface dataset:
Linking Agriculture with Organic Farming, Challenges to Upcoming Food Security and Environmental Sustainability

Abstract                   The challenges posed by population growth and the need to ensure access to healthy and nutritious food in sufficient quantities imply the need to change the paradigm and the way of thinking about new production and consumption patterns, scalable, integrated and adaptable to the requirements of agroecological production, on the principles of sustainability. Thus, we will be able, at the same time, to quantify the effects on socio-ecological systems, in a context of consumption that puts more and more pressure on the planet’s resources. Discussions, but especially solutions, on sustainability and innovation in agriculture are urgent, due to the need to ensure the source of basic foodstuffs and to meet primary food needs, as well as consumer access to them. Ensuring the need for food for a growing population must be based on maintaining productive ecosystems (in this case land) and sustainable production systems, without affecting the evolution and even the existence of upcoming generations, by ensuring a responsible and sustainable future. The main purpose of this scientific paper is to promote agroecology and encourage innovation, by promoting organic farming, in conjunction with sustaining steady economic growth, so necessary for the population’s access to nutritious and sufficient food, with direct effects on a healthy and active life.
Leadership behaviors, organizational culture and knowledge management practices

PurposeThe purpose of this study is to investigate the relationship between leadership behaviors and knowledge management (KM) practices. More specifically, it aims to examine the influence of transformational and transactional leadership behaviors on KM, and the moderating effect of organizational culture on this relationship, in the context of small‐to‐medium sized enterprises (SMEs) operating in Australia.Design/methodology/approachA total of four hypotheses were proposed for testing. It also provides is a succinct review of KM basics relevant to the study, the relationship between leadership and KM, and leadership and organizational culture.FindingsThe results suggest that both transformational and transactional leadership are positively related to KM practices. They also reveal that charismatic leadership and contingent reward leadership behaviors have greater influence on all the dimensions of KM practices.Research limitations/implicationsA key limitation of this study is its cross‐sectional nature. It is possible that at least certain aspects of leadership and organizational culture, and its impact on KM practices emerge with some kind of time lag. A longitudinal treatment of data might yield additional insights into the impact of leadership behaviors and organizational culture. This study was also unable to actually observe managers interacting with followers.Practical implicationsThe results of the study are generally consistent with theoretical predictions based on extant research.Originality/valueThe results of this study provide compelling evidence in support of the moderating role of organizational culture on the relationship between transactional leadership and KM and will be of interest to those in the field.
The Rights of Nature may Improve Water and Sanitation in Sierra Leone

Water resource protection is becoming increasingly important within the nation of Sierra Leone. Concomitantly, on the world stage, attention is drawing to the Rights of Nature as Ecuador, India and New Zealand and various Non-Governmental Organizations pioneer this ancient social construct into law in the twenty-first century. The coincidental emergence of these two issues raises the question: Might the Rights of Nature provide a way to address Sierra Leone’s water concerns?
Structural analysis of an $L$-infinity variational problem and relations to distance functions

In this work we analyse the functional ${\cal J}(u)=\|\nabla u\|_\infty$ defined on Lipschitz functions with homogeneous Dirichlet boundary conditions. Our analysis is performed directly on the functional without the need to approximate with smooth $p$-norms. We prove that its ground states coincide with multiples of the distance function to the boundary of the domain. Furthermore, we compute the $L^2$-subdifferential of ${\cal J}$ and characterize the distance function as unique non-negative eigenfunction of the subdifferential operator. We also study properties of general eigenfunctions, in particular their nodal sets. Furthermore, we prove that the distance function can be computed as asymptotic profile of the gradient flow of ${\cal J}$ and construct analytic solutions of fast marching type. In addition, we give a geometric characterization of the extreme points of the unit ball of ${\cal J}$.   Finally, we transfer many of these results to a discrete version of the functional defined on a finite weighted graph. Here, we analyze properties of distance functions on graphs and their gradients. The main difference between the continuum and discrete setting is that the distance function is not the unique non-negative eigenfunction on a graph.
Nutrition as climate adaptation: integrating traditional cooling foods into community resilience strategies for heat-vulnerable populations: a narrative review

Abstract                   Climate change is exacerbating extreme heat events, and individual cooling measures are becoming vital, particularly in communities lacking access to air conditioning or other cooling systems. This review introduces a new framework that bridges the gap between nutrition and climate adaptation, highlighting the potential of using traditional, nutrient-rich diets as evidence-based, practical methods to help individuals manage heat stress. We integrate biochemical, physiological, epidemiological, and cultural approaches, unlike most studies that have concentrated primarily on engineering or technological interventions, to demonstrate how regular foods help maintain body temperature, hydration, and mitigate inflammation and oxidative stress. Considering nutrition as a means of heat resilience, we can observe that familiar foods can provide cost-effective, easily available, and sustainable solutions to numerous vulnerable groups. Notably, we also discuss how to incorporate such traditional cooling foods into national food programs and school meal schemes, combining the local knowledge with contemporary climate adaptation policies. Although this approach is India-centred, it has broad applicability and can be used to provide a replicable, scientifically based, and culturally informed framework on how community heat resilience can be improved throughout the Global South.
From occupational health and safety perspective workplace violence

This paper examines the various types of workplace violence and their causes and effects from an occupational health and safety perspective. The fact that more than one-fifth of employees worldwide have experienced workplace violence and harassment during their lifetime underscores the importance of this issue as a research topic. In addition to physical violence, the study also focuses on more complex and common phenomena, such as psychological violence. The effects of these types of violence on human relations at work and employees' psychological and physiological health are examined comprehensively. Additionally, the common causes and consequences of workplace violence, as well as strategies for preventing such violence, are discussed. The article recommends creating a healthy, safe, and supportive work environment. It is a valuable resource for employers, employees, researchers, and policymakers, aiming to raise awareness about recognising, understanding, and preventing workplace violence. This way, it seeks to mitigate the effects of workplace violence and provide a healthier working environment.
Cosmic-Ray Modulation in the Heliosphere

The heliospheric cosmic-ray network–Pioneer 10/11, Voyager 1/2, Ulysses and IMP 8 have provided detailed observations of galactic and anomalous cosmic rays over a period of time that now exceeds 25 years and extends to heliocentric distances beyond 65 AU. These data, when compared over consecutive 11 year solar cycles, clearly establishes the existence of a 22-year cosmic ray modulation cycle that is dominated by the 11-year solar activity cycle but is strongly influenced by gradient and curvature drifts in association with the tilt of the heliospheric neutral current sheet as well as the mediation of the enhanced magnetic turbulence above the solar poles. Over successive solar minima these effects manifest themselves in the remarkable differences in the energetic particle time histories, in the magnitude and sign of the radial and latitudinal intensity gradients and in the changes in the energy spectra of anomalous cosmic rays as a function of heliocentric distance.
Humanitarian intervention and the responsibility to protect – Who should intervene?

James Pattison Oxford: Oxford University Press 2010, 284 pp. The concept of intervention in international affairs has troubled politicians and philosophers alike for centuries. Indeed, intervention...
The shadow of politics in the administration of international criminal justice: an analysis of how the Rome statute insulates the international criminal court from political influence

The quest for a permanent international criminal court began long before the United Nations Diplomatic Conference of Plenipotentiaries on the Establishment of an International Criminal Court adopted the Rome Statute of the International Criminal Court (ICC) in 1998.1 When the United Nations General Assembly approved the Genocide Convention in 1948, it charged the International Law Commission with the responsibility to carry out a study on the possibility and desirability of establishing an international judicial organ for the prosecution of, inter alia, the crime of genocide.2 …” It is understandable that a community such as the international community, in seeking a more structured organization, even if only an incipient &apos;institutionalization&apos;, should have turned in another direction, namely toward a system vesting in international institutions other than States the exclusive responsibility, first, for determining the existence of a breach of an obligation of basic importance to the international community as a whole, and thereafter, for deciding what measures should be taken in response and how they should be implemented.3 However, despite the so-called Nuremberg promise that the trials after the Second World War would set a precedent for others, it was not until 1994 that the ILC produced the final draft for the statute of an international court.
Statistical Mechanics of Biomembrane Phase Transition. III–Basic Concept of Cell Membrane Phase Transition–

Statistical mechanical study on the biomembrane phase transition is extended to the cell membrane, which consists of various kinds of lipids and embraces substantial amount of proteins. The modified dimer model used in our previous study is adopted. The activation energies for excited dimers are taken to be distributed “randomly” on the dimer lattice. The proteins are represented by hard blocks which inhibit any excited dimer to invade the lattice sites occupied by the proteins. This model of statistical mechanics exhibits a well-defined phase transition. The free energy, specific heat, etc., have essential singularities at the transition point.
Medical AI Consensus: A Multi-Agent Framework for Radiology Report Generation and Evaluation

NeurIPS2025 Workshop: Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling
Explainable deep learning based adaptive malware detection framework to improve interpretability

The development of advanced evasion strategies that make conventional signature-based approaches useless presents great difficulties for modern malware detection. This paper suggests an explainable deep learning-based adaptive malware detection system meant to improve detection accuracy and offer interpretable insights on its decision-making process at once. Our method uses a hybrid neural architecture combining convolutional and recurrent layers to extract both stationary and behavioural aspects from possibly dangerous executables. Through constant learning systems that change the detection settings as new malware variants develop, the model responds to growing threats. Our integrated explainability layer—which uses local interpretable model-agnostic explanations (LIME) and attention visualization approaches to clarify the particular traits and patterns that impact categorization decisions—is the key novelty. Experimental results reveal that our technique achieves a 97.3% detection rate on zero-day samples while maintaining a false positive rate below 0.5%. The given explanations help security experts to grasp detection rationales, confirm results, and create more successful countermeasures. This interpretability feature helps to solve the "black-box" issue sometimes connected with deep learning solutions in cybersecurity and promotes more confidence and acceptance in corporate security settings.
Citizen science as an instrument for women’s health research

Women's health research is receiving increasing attention globally, but considerable knowledge gaps remain. Across many fields of research, active involvement of citizens in science has emerged as a promising strategy to help align scientific research with societal needs. Citizen science offers researchers the opportunity for large-scale sampling and data acquisition while engaging the public in a co-creative approach that solicits their input on study aims, research design, data gathering and analysis. Here, we argue that citizen science has the potential to generate new data and insights that advance women's health. Based on our experience with the international Isala project, which used a citizen-science approach to study the female microbiome and its influence on health, we address key challenges and lessons for generating a holistic, community-centered approach to women's health research. We advocate for interdisciplinary collaborations to fully leverage citizen science in women's health toward a more inclusive research landscape that amplifies underrepresented voices, challenges taboos around intimate health topics and prioritizes women's involvement in shaping health research agendas.
Securing wireless sensor networks towards a trusted "Internet of Things".

Wireless Sensor Networks (WSN) are quickly gaining popularity due to the fact that they are potentially low-cost solutions, which can be used in a variety of application areas. However, they are also highly susceptible to attacks, due to both the open and distributed nature of the network and the limited resources of the nodes. In this paper, we propose a modular, scalable, secure and trusted networking protocol stack, able to offer self-configuration and secure roaming of data and services over multiple administrative domains and across insecure infrastructures of heterogeneous WSNs. The focus is on trusted route selection, secure service discovery, and intrusion detection, while critical parts of the security functionality may be implemented in low-cost reconfigurable hardware modules, as a defense measurement against side channel attacks.
Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine

Artificial Intelligence (AI) reflects the intelligence exhibited by machines and software. It is a highly desirable academic field of many current fields of studies. Leading AI researchers describe the field as "the study and design of intelligent agents". McCarthy invented this term in 1955 and defined it as "the science and engineering of making intelligent machines". The central goals of AI research are reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. In fact the multidisplinary AI field is considered to be rather interdisciplinary covering numerous number of sciences and professions, including computer science, psychology, linguistics, philosophy and neurosciences. The field was founded on the claim that a central intellectual property of humans, intelligence-the sapience of Homo Sapiens "can be so precisely described that a machine can be made to simulate it". This raises philosophical issues about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence. Artificial Intelligence has been the subject of tremendous optimism but has also suffered stunning setbacks. The goal of this narrative is to review the potential use of AI approaches and their integration into pediatric cellular therapies and regenerative medicine. Emphasis is placed on recognition and application of AI techniques in the development of predictive models for personalized treatments with engineered stem cells, immune cells and regenerated tissues in adults and children. These intelligent machines could dissect the whole genome and isolate the immune particularities of individual patient's disease in a matter of minutes and create the treatment that is customized to patient's genetic specificity and immune system capability. AI techniques could be used for optimization of clinical trials of innovative stem cell and gene therapies in pediatric patients by precise planning of treatments, predicting clinical outcomes, simplifying recruitment and retention of patients, learning from input data and applying to new data, thus lowering their complexity and costs. Complementing human intelligence with machine intelligence could have an exponentially high impact on continual progress in many fields of pediatrics. However how long before we could see the real impact still remains the big question. The most pertinent question that remains to be answered therefore, is can AI effectively and accurately predict properties of newer DDR strategies? The goal of this article is to review the use of AI method for cellular therapy and regenerative medicine and emphasize its potential to further the progress in these fields of medicine.
Surgical Robot Simulation and Control

The MiroSurge surgical robotic system has been an on-going research project at the German Aerospace Centre (DLR). With maturing of the robotic technology, the need has become obvious for software technology that develops novel methods for increasing patient safety. Consequently, DLR’s focus within this research effort has been on novel software methods for robotic surgery systems, to further investigate robotic system simulation, planning and setup innovative control algorithms for haptic input devices.
Rule Extraction Algorithm for Deep Neural Networks: A Review

Despite the highest classification accuracy in wide varieties of application areas, artificial neural network has one disadvantage. The way this Network comes to a decision is not easily comprehensible. The lack of explanation ability reduces the acceptability of neural network in data mining and decision system. This drawback is the reason why researchers have proposed many rule extraction algorithms to solve the problem. Recently, Deep Neural Network (DNN) is achieving a profound result over the standard neural network for classification and recognition problems. It is a hot machine learning area proven both useful and innovative. This paper has thoroughly reviewed various rule extraction algorithms, considering the classification scheme: decompositional, pedagogical, and eclectics. It also presents the evaluation of these algorithms based on the neural network structure with which the algorithm is intended to work. The main contribution of this review is to show that there is a limited study of rule extraction algorithm from DNN.
Ethics and the Potential Conflicts between Astrobiology, Planetary Protection, and Commercial Use of Space

A high standard of planetary protection is important for astrobiology, though the risk for contamination can never be zero. It is therefore important to find a balance. If extraterrestrial life has a moral standing in its own right, it will also affect what we have to do to protect it. The questions of how far we need to go to protect extraterrestrial life will be even more acute and complicated when the time comes to use habitable worlds for commercial purposes. There will also be conflicts between those who want to set a world aside for more research and those who want to give the green light for development. I believe it is important to be proactive in relation to these issues. The aim of my project is therefore to identify, elucidate, and if possible, suggest solutions to potential conflicts between astrobiology, planetary protection, and commercial use of space.
Error-mitigated simulation of quantum many-body scars on quantum computers with pulse-level control

10+9 pages 7+5 figures
Towards semi-classical analysis for sub-elliptic operators

We discuss the recent developments of semi-classical and micro-local analysis in the context of nilpotent Lie groups and for sub-elliptic operators. In particular, we give an overview of pseudo-differential calculi recently defined on nilpotent Lie groups as well as of the notion of quantum limits in the Euclidean and nilpotent cases.
On the network thermodynamics of mass action chemical reaction networks

In this paper we elaborate on the mathematical formulation of mass action chemical reaction networks as recently given in van der Schaft, Rao, Jayawardhana (2012). We show how the reference chemical potentials define a specific thermodynamical equilibrium, and we discuss the port-Hamiltonian representation of the formulation. This leads to the network interpretation as a number of energy-storing elements (corresponding to the chemical complexes), together with a nonlinear energy-dissipating relation corresponding to the reactions with associated conductances for the edges of the graph of complexes. The resulting system cannot be put into standard Brayton-Moser gradient system form, but it does allow a generalized gradient system representation with respect to the Gibbs’ free energy.
Additional file 1 of Photovoltaics in agricultural landscapes: “Industrial land use” or a “real compromise” between renewable energy and biodiversity? Perspectives of German nature conservation associations

Additional file 1: Material for QTA on public position papers.