cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Insidie di una periodizzazione bipolare nella storiografia  artistica sul Settecento: rococò versus neoclassicismo
Creators: name: Rossi Pinelli, Orietta
Publisher: name: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII
Year: 2016
Subjects: Period terms; Eighteenth Century; Visual Arts; Rococo; Neo-clasical movement

description: The tradition in the study of art-history adopted the style to set different period terms. Besides, an evolutionary conception in history associated each style to a different age. This way of simplifying provoked a series of misunderstandings and was eventually a hindrance to the pluralism in each age. Briefly, various scholars split the arts in the Eighteenth Century in two main branches, the first one (ideally set in the first half of the century) called “rococo”, the second one “neoclassical”. However, in the last three decades a significant minority expressed harsh critics to this classification.
description: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII, Vol 1 (2016)
(Why) does the Enlightenment matter?
Creators: name: Thomson, Ann
Publisher: name: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII
Year: 2016
Subjects: Enlightenment; toleration; materialism; slavery; racism

description: Starting from the reactions to the Charlie Hebdo attack in January 2015 and appeals to Enlightenment values (above all toleration), this article reflects on the meaning of the enlightenment today and how to study it. Several examples are discussed, which show the diversity and complexity of eighteenth-century thinking and the need to adopt a more nuanced and, where necessary, critical attitude towards it. This also applies to the notion of toleration. The study of the Enlightenment should help us think more critically about its implications and about the ambiguities inherent in our own attitudes.
description: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII, Vol 1 (2016)
«Fan dunque guerra ancora i poeti?».  Versi per la Guerra dei Sette anni
Creators: name: Tongiorgi, Duccio
Publisher: name: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII
Year: 2016
Subjects: Guerra dei Sette anni; Poesia d’occasione; Giuseppe Parini; Carlo Goldoni; Pietro Metastasio

description: The essay offers a survey of the wide poetry-production, written in Italy during the second half of the 18th Century, and  having as main topic events and protagonists of Seven Year War. The first part of the article describes the common features of those compositions – often anonymous poems with clear propagandistic intents – and the way in which they circulated. The second part is focused on the more refined and restrained poems signed by well-known authors, who were invited and sometimes urged to write about the topic.
description: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII, Vol 1 (2016)
Towards Physically Consistent Deep Learning For Climate Model Parameterizations
Creators: name: Kühbacher, Birgit
name: Iglesias-Suarez, Fernando
name: Kilbertus, Niki
name: Eyring, Veronika
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Climate models play a critical role in understanding and projecting climate change. Due to their complexity, their horizontal resolution of about 40-100 km remains too coarse to resolve processes such as clouds and convection, which need to be approximated via parameterizations. These parameterizations are a major source of systematic errors and large uncertainties in climate projections. Deep learning (DL)-based parameterizations, trained on data from computationally expensive short, high-resolution simulations, have shown great promise for improving climate models in that regard. However, their lack of interpretability and tendency to learn spurious non-physical correlations result in reduced trust in the climate simulation. We propose an efficient supervised learning framework for DL-based parameterizations that leads to physically consistent models with improved interpretability and negligible computational overhead compared to standard supervised training. First, key features determining the target physical processes are uncovered. Subsequently, the neural network is fine-tuned using only those relevant features. We show empirically that our method robustly identifies a small subset of the inputs as actual physical drivers, therefore removing spurious non-physical relationships. This results in by design physically consistent and interpretable neural networks while maintaining the predictive performance of unconstrained black-box DL-based parameterizations.
description: Accepted at ICMLA 2024
The double invisibility of queer Asian Canadians : Reproduction of racism in LGBTQIA2S+ spaces and sexism in Asian homes
Creators: name: Lee, Clover
Publisher: name: The University of British Columbia
Year: 2023

description: Mainstream discussions around diversity and representation often revolve around culture/race/ethnicity; but it’s obvious that an intersectional approach is needed to better address and understand people’s experiences. What happens when race and queerness intersect? What kinds of experiences do they have that might be different from those who aren’t queer? In Clover’s paper, she explores the experiences of queer Asians in Vancouver to illustrate the power of such an intersectional identity, and also the challenges of embodying this intersectional identity while navigating an LGBTQIA+ space that is very White-centric, as well as domestic spaces that are very heteronormative. While it is challenging to have to navigate these spaces and deal with discrimination in multiple forms in numerous spaces, the people featured in Clover’s paper are resolute in their pride for their identity.
LLM-based speaker diarization correction: A generalizable approach
Creators: name: Efstathiadis, Georgios
name: Yadav, Vijay
name: Abbas, Anzar
Publisher: name: arXiv
Year: 2024
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Computation and Language (cs.CL)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Speaker diarization is necessary for interpreting conversations transcribed using automated speech recognition (ASR) tools. Despite significant developments in diarization methods, diarization accuracy remains an issue. Here, we investigate the use of large language models (LLMs) for diarization correction as a post-processing step. LLMs were fine-tuned using the Fisher corpus, a large dataset of transcribed conversations. The ability of the models to improve diarization accuracy in a holdout dataset from the Fisher corpus as well as an independent dataset was measured. We report that fine-tuned LLMs can markedly improve diarization accuracy. However, model performance is constrained to transcripts produced using the same ASR tool as the transcripts used for fine-tuning, limiting generalizability. To address this constraint, an ensemble model was developed by combining weights from three separate models, each fine-tuned using transcripts from a different ASR tool. The ensemble model demonstrated better overall performance than each of the ASR-specific models, suggesting that a generalizable and ASR-agnostic approach may be achievable. We have made the weights of these models publicly available on HuggingFace at https://huggingface.co/bklynhlth.
Queer Asians’ Multicultural Identity Construction as Human Subjects
Creators: name: Wang, Shih-Wei
Publisher: name: The University of British Columbia
Year: 2023

description: Whenever race is discussed, there is often an implicit heteronormativity that pervades those discussions. Shih-wei’s paper complements another paper in this collection (by Clover Lee) by centring the representation of queer Asians. Unlike Clover’s paper, however, Shih-wei focuses on the experiences of queer Asians as portrayed through literature. In doing so, she breaks down the social construction of a “queer Asian diasporic identity” by reflecting on all the different ways in which such an identity is constructed within the context of a Eurocentric and heteronormative hegemony. As you read through Shih-wei’s paper, if you embody a queer Asian diasporic identity, do her reflections resonate with you?
La repubblica dei settecentisti.  Storia della Società Italiana di Studi sul Secolo XVIII  (1978-2015)
Creators: name: Siragusa, Danilo
Publisher: name: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII
Year: 2016
Subjects: SISSD; interdisciplinarity; Eighteenth century; collective research; association

description: This essay outlines the history of the Società Italiana di Studi sul Secolo XVIII, an interdisciplinary association which gathers many scholars of history, philosophy, literature, art and culture. Since its foundation in 1978, the SISSD promotes the growth and development of Italian studies, along with the knowledge of the eighteenth century’s cultural heritage, through the organization and patronage of conferences, meetings and cultural events.
description: Diciottesimo Secolo. Rivista della Società Italiana di Studi sul Secolo XVIII, Vol 1 (2016)
PROTECTION OF LABOUR RIGHTS OF MINORS: PROBLEMS OF THEORY AND PRACTICE
Creators: name: Shoislоmova, Sitora
Publisher: name: Zenodo
Year: 2024

description: Despite the regulation of labor rights of minors at the legislative level, in practice we continue to face problems and contradictions arising in the implementation of the right to work by minors. In this article we have identified and identified the most significant problems faced by the subjects of law in the implementation of labor activity. In this article, the ways of solving these problems are proposed.
การประยุกต์ใช้ระบบสารสนเทศภูมิศาสตร์ในการคัดเลือกพื้นที่เหมาะสมทางกายภาพในการกำจัดขยะด้วยวิธีฝังกลบ: กรณีศึกษาจังหวัดสมุทรปราการ
Creators: name: พนิศา สังเวียน
name: วันเพ็ญ เจริญตระกูลปีติ
Publisher: name: คณะบริหารการพัฒนาสิ่งแวดล้อม สถาบันบัณฑิตพัฒนบริหารศาสตร์
Year: 2016
Subjects: ระบบสารสนเทศภูมิศาสตร์, การกำจัดขยะด้วยวิธีฝังกลบ, การคาดการณ์การขยายตัวของเมือง

description: 2, 12, วารสารการจัดการสิ่งแวดล้อม
สิ่งแวดล้อมสรรค์สร้างที่เป็นธรรมกับคุณค่าความเป็นมนุษย์
Creators: name: ตะโพน นิ่มแสวง
name: สิงห์ อินทรชูโต
Publisher: name: คณะบริหารการพัฒนาสิ่งแวดล้อม สถาบันบัณฑิตพัฒนบริหารศาสตร์
Year: 2016
Subjects: สิ่งแวดล้อมสรรค์สร้าง, ความเป็นธรรม, คุณค่าความเป็นมนุษย์

description: 2, 12, วารสารการจัดการสิ่งแวดล้อม
A deep cut into Split Federated Self-supervised Learning
Creators: name: Przewięźlikowski, Marcin
name: Osial, Marcin
name: Zieliński, Bartosz
name: Śmieja, Marek
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Collaborative self-supervised learning has recently become feasible in highly distributed environments by dividing the network layers between client devices and a central server. However, state-of-the-art methods, such as MocoSFL, are optimized for network division at the initial layers, which decreases the protection of the client data and increases communication overhead. In this paper, we demonstrate that splitting depth is crucial for maintaining privacy and communication efficiency in distributed training. We also show that MocoSFL suffers from a catastrophic quality deterioration for the minimal communication overhead. As a remedy, we introduce Momentum-Aligned contrastive Split Federated Learning (MonAcoSFL), which aligns online and momentum client models during training procedure. Consequently, we achieve state-of-the-art accuracy while significantly reducing the communication overhead, making MonAcoSFL more practical in real-world scenarios.
description: European Conference on Machine Learning (ECML) 2024
ДЕТСКИЙ ТРУД В ОПАСНЫХ УСЛОВИЯХ: МАСШТАБЫ ПРОБЛЕМЫ И ПУТИ РЕШЕНИЯ
Creators: name: Шоисломова, Ситора
Publisher: name: Zenodo
Year: 2024

description: Данный текст посвящен актуальной проблеме опасного детского труда. В нем рассматриваются масштабы явления, отраслевая специфика, а также негативные последствия для здоровья и развития детей. Особое внимание уделяется международным стандартам, направленным на борьбу с детским трудом, и мерам, которые необходимо принимать на национальном уровне. Автор анализирует причины, лежащие в основе этой проблемы, и предлагает комплексный подход к ее решению, включающий законодательные меры, повышение осведомленности, развитие образования и сотрудничество с социальными партнерами. В заключение подчеркивается важность международного сотрудничества в борьбе с опасным детским трудом и необходимость создания условий для достойного будущего детей.
Rate-Distortion-Perception Tradeoff for Gaussian Vector Sources
Creators: name: Qian, Jingjing
name: Salehkalaibar, Sadaf
name: Chen, Jun
name: Khisti, Ashish
name: Yu, Wei
name: Shi, Wuxian
name: Ge, Yiqun
name: Tong, Wen
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: This paper studies the rate-distortion-perception (RDP) tradeoff for a Gaussian vector source coding problem where the goal is to compress the multi-component source subject to distortion and perception constraints. Specifically, the RDP setting with either the Kullback-Leibler (KL) divergence or Wasserstein-2 metric as the perception loss function is examined, and it is shown that for Gaussian vector sources, jointly Gaussian reconstructions are optimal. We further demonstrate that the optimal tradeoff can be expressed as an optimization problem, which can be explicitly solved. An interesting property of the optimal solution is as follows. Without the perception constraint, the traditional reverse water-filling solution for characterizing the rate-distortion (RD) tradeoff of a Gaussian vector source states that the optimal rate allocated to each component depends on a constant, called the water level. If the variance of a specific component is below the water level, it is assigned a zero compression rate. However, with active distortion and perception constraints, we show that the optimal rates allocated to the different components are always positive. Moreover, the water levels that determine the optimal rate allocation for different components are unequal. We further treat the special case of perceptually perfect reconstruction and study its RDP function in the high-distortion and low-distortion regimes to obtain insight to the structure of the optimal solution.
description: 15 pages, 3 figures. Copyright 2024 IEEE
Continuous Sign Language Recognition Using Intra-inter Gloss Attention
Creators: name: Ranjbar, Hossein
name: Taheri, Alireza
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Many continuous sign language recognition (CSLR) studies adopt transformer-based architectures for sequence modeling due to their powerful capacity for capturing global contexts. Nevertheless, vanilla self-attention, which serves as the core module of the transformer, calculates a weighted average over all time steps; therefore, the local temporal semantics of sign videos may not be fully exploited. In this study, we introduce a novel module in sign language recognition studies, called intra-inter gloss attention module, to leverage the relationships among frames within glosses and the semantic and grammatical dependencies between glosses in the video. In the intra-gloss attention module, the video is divided into equally sized chunks and a self-attention mechanism is applied within each chunk. This localized self-attention significantly reduces complexity and eliminates noise introduced by considering non-relative frames. In the inter-gloss attention module, we first aggregate the chunk-level features within each gloss chunk by average pooling along the temporal dimension. Subsequently, multi-head self-attention is applied to all chunk-level features. Given the non-significance of the signer-environment interaction, we utilize segmentation to remove the background of the videos. This enables the proposed model to direct its focus toward the signer. Experimental results on the PHOENIX-2014 benchmark dataset demonstrate that our method can effectively extract sign language features in an end-to-end manner without any prior knowledge, improve the accuracy of CSLR, and achieve the word error rate (WER) of 20.4 on the test set which is a competitive result compare to the state-of-the-art which uses additional supervisions.
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
Creators: name: Ding, Yi
name: Tong, Chengxuan
name: Zhang, Shuailei
name: Jiang, Muyun
name: Li, Yong
name: Liang, Kevin Lim Jun
name: Guan, Cuntai
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Integrating prior knowledge of neurophysiology into neural network architecture enhances the performance of emotion decoding. While numerous techniques emphasize learning spatial and short-term temporal patterns, there has been limited emphasis on capturing the vital long-term contextual information associated with emotional cognitive processes. In order to address this discrepancy, we introduce a novel transformer model called emotion transformer (EmT). EmT is designed to excel in both generalized cross-subject EEG emotion classification and regression tasks. In EmT, EEG signals are transformed into a temporal graph format, creating a sequence of EEG feature graphs using a temporal graph construction module (TGC). A novel residual multi-view pyramid GCN module (RMPG) is then proposed to learn dynamic graph representations for each EEG feature graph within the series, and the learned representations of each graph are fused into one token. Furthermore, we design a temporal contextual transformer module (TCT) with two types of token mixers to learn the temporal contextual information. Finally, the task-specific output module (TSO) generates the desired outputs. Experiments on four publicly available datasets show that EmT achieves higher results than the baseline methods for both EEG emotion classification and regression tasks. The code is available at https://github.com/yi-ding-cs/EmT.
description: 12 pages, 9 figures. This work has been accepted by IEEE TNNLS
Assessing the Effectiveness of LLMs in Android Application Vulnerability Analysis
Creators: name: Kouliaridis, Vasileios
name: Karopoulos, Georgios
name: Kambourakis, Georgios
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: The increasing frequency of attacks on Android applications coupled with the recent popularity of large language models (LLMs) necessitates a comprehensive understanding of the capabilities of the latter in identifying potential vulnerabilities, which is key to mitigate the overall risk. To this end, the work at hand compares the ability of nine state-of-the-art LLMs to detect Android code vulnerabilities listed in the latest Open Worldwide Application Security Project (OWASP) Mobile Top 10. Each LLM was evaluated against an open dataset of over 100 vulnerable code samples, including obfuscated ones, assessing each model's ability to identify key vulnerabilities. Our analysis reveals the strengths and weaknesses of each LLM, identifying important factors that contribute to their performance. Additionally, we offer insights into context augmentation with retrieval-augmented generation (RAG) for detecting Android code vulnerabilities, which in turn may propel secure application development. Finally, while the reported findings regarding code vulnerability analysis show promise, they also reveal significant discrepancies among the different LLMs.
RACCONTANDO UNA PASSIONE- Original draft
Creators: name: Gaglioti, Martina
Publisher: name: figshare
Year: 2022
Subjects: Marine Biology

description: Original contribution subsequently used by the Editor for the magazine commercial purposes on the online website:
 https://www.photopress-mondosommerso.com/magazine/raccontando-una-passione
 (Personal contribution. Unpaid work. No longer collaborating with these people)
RACCONTANDO UNA PASSIONE
Creators: name: Gaglioti, Martina
Publisher: name: figshare
Year: 2022
Subjects: Marine Biology

description: Original contribution subsequently used by the Editor for the magazine commercial purposes on the online website:
 https://www.photopress-mondosommerso.com/magazine/raccontando-una-passione
 (Personal contribution unpaid to date)
A Closer Look at Immigrant Work in the Global North : The Experiences of a Filipinx Canadian Immigrant
Creators: name: Reyes, Divine
Publisher: name: The University of British Columbia
Year: 2023

description: An important aspect of Asian diasporic discussion within a capitalist system is the intersection of labour politics, gender, and racialization. For a long time, the provision of care-taker labour in Canada, whether in terms of medical care or domestic care, has been disproportionately shouldered by racialized women and femmes…particularly those with more complex migration histories because of the broader economic relationship between the Global North and the Global South characterized by one-sided exploitation. In Divine’s interview, her mother speaks about her experience creating and living and exercising agency within a predatory economic system and the difficulties that all of that entails. Have you noticed this kind of intersectional breakdown of care-taker labour around you?
Emotional responses to multi-sensory environmental stimuli
Creators: name: Toet, Alexander
name: Erp, Jan B.F. Van
name: Kallen, Victor L.
name: Schreuder, Eliane
Publisher: name: F1000Research
Year: 2016

description: Introduction.
This study was performed to  gain more insight in the emotional, cognitive and behavioral effects of multi-sensory stimulation. The ability to adjust the sensory characteristics of an environment (e.g., lighting, sound, scents, temperature) such that people feel comfortable or exhibit a desired behavior is gaining interest and social relevance. However, the combined effects of different environmental characteristics are not always simply the sum of the individual effects, but may also amplify or inhibit each other and may even lead to unexpected new effects. Hence, it is currently not known how different environmental characteristics should be combined to effectively achieve desired emotional and behavioral effects.

Method.
To learn more about their integral emotional effects, we performed a literature review (70 relevant papers) on multi-sensory stimulation by ambient environmental features such as lighting, color, sound, and scent.

Findings.
The limited amount of relevant empirical evidence currently available indicates that:

	Emotional responses to an environment are context dependent and not simply dominated by either one or the other sensory modality.
	Congruency between multiple sensory stimuli may enhance emotional, cognitive and behavioral responses in the positive domain.
	Incongruent multi-sensory stimuli especially impact and negatively affect affective appraisals and behavioral intentions, but may enhance memory.
	An ecologically valid negative uni-sensory cue can affect emotions as strongly as a multi-sensory negative cue.

Conceptual framework.
Combining the results of different multi-sensory studies, we propose a conceptual framework to describe how environmental interventions may affect human emotional responses.This framework reflects the way diverse sensory modalities may influence each other's impact on our emotional responses. Our framework provides a simplified description of the levels involved in processing (multi-sensory) stimuli and their link to emotion. Whereas previous studies typically differentiate between sensory modalities, our framework distinguishes two assessment perspectives, related to the object of focus that is assessed and responded to:

	the external perspective: in which individuals only assess and respond to information in their environment (“This place is exciting, boring”).
	the internal perspective: in which the internal reaction of the individual to the environmental information is assessed and responded to (“I feel excited, bored”).

Discussion.
The current body of literature is insufficient to establish the effects of multisensory environmental interventions on human emotions, cognition and behaviour.  The proposed framework serves to identify the gaps in our knowledge, to stimulate further research in this area and to lay the foundation for a structural and potentially computational and predictive model.
Quantum Geometry Probed by Chiral Excitonic Optical Response of Chern Insulators
Creators: name: Qiu, Wen-Xuan
name: Wu, Fengcheng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We theoretically derive the sum rule for the negative first moment of the absorptive optical conductivity with excitonic effects and establish its connection to the quantum weight $K$ and Chern number $C$ of the ground state. Applying this framework, we investigate the excitonic optical response of the Chern insulator at hole filling factor $ν=1$ in twisted bilayer MoTe$_2$. A single chiral exciton state, which selectively absorbs circularly polarized light of a specific handedness, dominates the optical sum rule. The chiral exciton state comprises two types of interlayer electron-hole transitions, which cancel out the total out-of-plane dipole moment. The absorption spectrum shows nearly perfect magnetic circular dichroism, which can be attributed to the nearly saturated bound $K \ge |C|$ of the Chern insulator under study. Our work illustrates the potential of using excitonic optical responses to probe quantum geometry encoded by $K$ and $C$ of Chern insulators in moiré superlattices.
description: 7+10 pages,4+7 figures
妹，吃饭了
Creators: name: Zhang, Sorella
Publisher: name: The University of British Columbia
Year: 2023

description: Medicine isn’t just about curing diseases and ailments – it can also be able preventing diseases and ailments, and maintaining good health. This kind of perspective about health is characteristic of a various traditional systems of medicine, whether it’s traditional Mongolia, Iranian, Indigenous, or Chinese medicine, amongst others. By seeing medicine as preventative rather than reactive, this allows edible items with medicinal properties to be incorporated into food that can nourish and heal people on a continuous basis. Sorella presents a cookbook filled with recipes involving ingredients that are known to have various medicinal properties in Traditional Chinese Medicine; but it also is filled with a lot of love. The central them is certainly food; but one can see/feel/sense the love and intimate connections that emanate from these recipes. How can we all incorporate traditional medicinal ingredients into our food in a responsible manner?
Understanding the impact of rapid antigen tests on SARS-CoV-2 transmission in the fifth wave of COVID-19 in Hong Kong in early 2022
Creators: name: Du, Zhanwei
name: Tian, Linwei
name: Jin, Dong-Yan
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: The fast-spreading Omicron variant of SARS-CoV-2 overwhelmed Hong Kong, causing the fifth wave of COVID-19. It remains to be determined what mitigation measures might have played a role in reversing the rising trend of confirmed cases in this major outbreak. The government of Hong Kong has launched the mass rapid antigen tests (RAT) in the population and the StayHomeSafe scheme since February 2022. In this study, we examined the impact of the mass RAT on disease transmission and the case fatality ratio. It was suggested that the implementation of RAT plausibly played a role in the steady decrease of the effective reproduction number, leading to diminished SARS-CoV-2 transmission. In addition, we projected the disease burden of the outbreak in a scenario analysis to highlight the necessity of the StayHomeSafe scheme in Hong Kong. The Omicron outbreak experience in Hong Kong may provide actionable insights for navigating the challenges of COVID-19 surges in other regions and countries.
การบริหารจัดการชีวิตของประชาชนในมิติด้านสิ่งแวดล้อม
Creators: name: เบญจวรรณ อุปัชฌาย์
Publisher: name: คณะบริหารการพัฒนาสิ่งแวดล้อม สถาบันบัณฑิตพัฒนบริหารศาสตร์
Year: 2016
Subjects: การบริหารจัดการชีวิต, การบริหารจัดการชีวิตในมิติของสิ่งแวดล้อม, ชีวะการเมือง

description: วารสารการจัดการสิ่งแวดล้อม, 12, 2
Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis
Creators: name: Palma, Marco
name: Tavakoli, Shahin
name: Brettschneider, Julia
name: Staicu, Ana-Maria
name: Nichols, Thomas E.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased groups) higher values in some brain regions called lateral ventricles. More specifically, our voxelwise analysis shows both a mean-variance relationship in these areas and evidence of spatially dependent skewness. We propose a model for 3-dimensional functional data where mean, variance, and skewness functions vary smoothly across brain locations. We model the voxelwise distributions as skew-normal. The smooth effects of age and sex are estimated on a reference population of cognitively normal subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset and mapped across the whole brain. The three parameter functions allow to transform each TBM image (in the reference population as well as in a test set) into a Gaussian process. These subject-specific normative maps are used to derive indices of deviation from a healthy condition to assess the individual risk of pathological degeneration.
Trapped in Space : Health Impacts on Astronaut Families
Creators: name: Luat, Jiro
name: Reyes, Berkeley
name: Hsieh, Judith
Publisher: name: The University of British Columbia
Year: 2023

description: Despite an absent family, a moonlight shines as a pathway for the warm and comforting future. The astronaut family paints an abstract picture where this dichotomy between cultural values creates barriers for both fulfilling independence and family orientation. The intimacy and unconditional love for one another expressed nonverbally, defines what our family is despite facing both worlds. Moving to a new country isn’t as simple as merely moving bodies across physical spaces. Children who move during their formative years have to navigate the difficult psychological space of reconciling different emerging identities, and families have to manage a difficult relational space because it often splits up parents, creating astronaut families. All of this will strain relationships between parents, and between children and their parents. For Jiro, these issues deeply affected him and his development, and he masterfully showcases this process and his thoughts with a beautiful dance performance. Watch the video below and the accompanying statement to get a good glimpse of what this experience was/is like for him. If you had to move to a completely different cultural environment, and had to adjust while also navigating fraying relationships with other family members, what would that feel like?
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
Creators: name: La Cava, Lucio
name: Costa, Davide
name: Tagarelli, Andrea
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: Human-Computer Interaction (cs.HC)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The significant progress in the development of Large Language Models has contributed to blurring the distinction between human and AI-generated text. The increasing pervasiveness of AI-generated text and the difficulty in detecting it poses new challenges for our society. In this paper, we tackle the problem of detecting and attributing AI-generated text by proposing WhosAI, a triplet-network contrastive learning framework designed to predict whether a given input text has been generated by humans or AI and to unveil the authorship of the text. Unlike most existing approaches, our proposed framework is conceived to learn semantic similarity representations from multiple generators at once, thus equally handling both detection and attribution tasks. Furthermore, WhosAI is model-agnostic and scalable to the release of new AI text-generation models by incorporating their generated instances into the embedding space learned by our framework. Experimental results on the TuringBench benchmark of 200K news articles show that our proposed framework achieves outstanding results in both the Turing Test and Authorship Attribution tasks, outperforming all the methods listed in the TuringBench benchmark leaderboards.
description: Accepted for publication at the 27th European Conference on Artificial Intelligence (ECAI-2024), Volume 392, Pages 3179 - 3186, October 2024
Central limit theorems describing isolation by distance under varying population size
Creators: name: Forien, Raphaël
name: Wiederhold, Bastian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: We derive a central limit theorem for a spatial $Λ$-Fleming-Viot model with fluctuating population size. At each reproduction, a proportion of the population dies and is replaced by a not necessarily equal mass of new individuals. The mass depends on the local population size and a function thereof. Additionally, as new individuals have a single parental type, with growing population size, events become more frequent and of smaller impact, modelling the successful reproduction of a higher number of individuals. From the central limit theorem we derive a Wright-Malécot formula quantifying the asymptotic probability of identity by descent and thus isolation by distance. The formula reflects that ancestral lineages are attracted by centres of population mass and coalesce with a rate inversely proportional to the population size. Notably, we obtain this information despite the varying population size rendering the dual process intractable.
Fourier Transform Infrared and Ultraviolet-Visible Spectroscopic Characterization of Ammonium Acetate and Ammonium Chloride: An Impact of Biofield
Creators: name: Trivedi, Mahendra
Publisher: name: SMN - The ScienceMedia Network
Year: 2016
Subjects: Natural Sciences
Biology

description: Ammonium acetate and ammonium chloride are the white crystalline solid inorganic compounds having wide application in synthesis and analytical chemistry. The aim of present study was to evaluate the impact of biofield treatment on spectral properties of inorganic salt like ammonium acetate and ammonium chloride. The study was performed in two groups of each compound i.e., control and treatment. Treatment groups were received Mr. Trivedi’s biofield treatment. Subsequently, control and treated groups were evaluated using Fourier Transform Infrared (FT-IR) and Ultraviolet-Visible (UV-Vis) spectroscopy. FT-IR spectrum of treated ammonium acetate showed the shifting in wavenumber of vibrational peaks with respect to control. Like, the N-H stretching was shifted from 3024-3586 cm-1 to 3033-3606 cm-1, C-H stretching from 2826-2893 cm-1 to 2817-2881 cm-1, C=O asymmetrical stretching from 1660-1702 cm-1 to 1680-1714 cm-1, N-H bending from 1533-1563 cm-1 to 1506-1556 cm-1 etc. Treated ammonium chloride showed the shifting in IR frequency of three distinct oscillation modes in NH4 ion i.e., at ν1, 3010 cm-1 to 3029 cm-1; ν2, 1724 cm-1 to 1741 cm-1; and ν3, 3156 cm-1 to 3124 cm-1. The N-Cl stretching was also shifted to downstream region i.e., from 710 cm-1 to 665 cm-1 in treated ammonium chloride. UV spectrum of treated ammonium acetate showed the absorbance maxima (λmax) at 258.0 nm that was shifted to 221.4 nm in treated sample. UV spectrum of control ammonium chloride exhibited two absorbance maxima (λmax) i.e., at 234.6 and 292.6 nm, which were shifted to 224.1 and 302.8 nm, respectively in treated sample.
Overall, FT-IR and UV data of both compounds suggest an impact of biofield treatment on atomic level i.e., at force constant, bond strength, dipole moments and electron transition energy between two orbitals of treated compounds as compared to respective control.
Impact of Road Infrastructure and Traffic Scenarios on E-scooterists' Riding and Gaze Behavior
Creators: name: Chen, Dong
name: Hosseini, Arman
name: Smith, Arik
name: Zheng, Zeyang
name: Xiang, David
name: Heydarian, Arsalan
name: Shoghli, Omid
name: Campbell, Bradford
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computers and Society (cs.CY)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The growing adoption of e-scooters has raised significant safety concerns, particularly due to a surge in injuries and fatalities. This study explores the relationship between road infrastructure, traffic scenarios, and e-scooterists' riding and gaze behaviors to improve road safety and user experience. A naturalistic study was conducted using instrumented e-scooters, capturing gaze patterns, fixation metrics, and head movement data across various road layouts and traffic scenarios. Key findings reveal that bike lanes offer a stable environment with reduced horizontal head movement and focused attention on the road, while shared roads and sidewalks lead to more dispersed gaze and increased head movement, indicating higher uncertainty and complexity. Interactions with other road users, such as navigating intersections, passing buses, riding near cars, and descending on downhill paths, demand greater cognitive load. Intersections require heightened visual focus and spatial awareness, reflected in increased horizontal eye and head movements. Interactions with vehicles prioritize visual scanning over head movement to maintain stability and avoid collisions, while high-speed and downhill riding demand focused attention on obstacles and the road surface. The results provide insights into e-scooter riders' behavior and physiological response analysis, paving the way for safer riding experiences and improved understanding of their needs.
description: 12 pages, 10 figures
Quantum weak values and the 'which way?' question
Creators: name: Uranga, A.
name: Akhmatskaya, E.
name: Sokolovski, D.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Uncertainty principle forbids one to determine which of the two paths a quantum system has travelled, unless interference between the alternatives had been destroyed by a measuring device, e.g., by a pointer. One can try to weaken the coupling between the device and the system, in order to avoid the veto. We demonstrate, however, that a weak pointer is at the same time an inaccurate one, and the information about the path taken by the system in each individual trial is inevitably lost. We show also that a similar problem occurs if a classical system is monitored by an inaccurate quantum meter. In both cases one can still determine some characteristic of the corresponding statistical ensemble, a relation between path probabilities in the classical case, and a relation between the probability amplitudes if a quantum system is involved.
description: 14 pages, 6 figures
Supplementary document for Pulsed-lighting LED luminaire for agriculture with geometrical optical solution - 6199402.pdf
Creators: name: Chen, Fangcai
name: Zheng, Jianan
name: Zhang, Xinyu
name: Ma, Haoyu
name: Zhang, Wei
name: Fan, Liulu
name: Zhang, Fangxin
name: Li, Ming
name: Omer, Altyeb Ali Abaker
name: Liu, Wen
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Some equations about the construction of the diffuser sheet model
PIsCO: Performance Indicators Framework for COllection of biological resource metrics
Creators: name: Artaza, Haydee
name: Hancock, John
name: Jimenez, Rafael
name: Corpas, Manuel
Publisher: name: F1000Research
Year: 2016

description: Biological communities work across a range of domains and use a variety of biological resources. The selection of a particular resource can be aided by performance indicators to allow investigators to make informed decisions about alternatives. Furthermore, scientists may also need these indicators to justify the funding of a particular resource.

When establishing a set of rigorous metrics, an important challenge is knowing the kind of indicators relevant to the scientist. Scientists frequently build their own methods, translating them into programs or scripts. Many of these programs or scripts are lost or forgotten when the project has finished. Hence a large amount of effort is wasted, and valuable methods and conventions that have been developed cannot be reused. We thus propose an approach for bringing together a set of potential  measurements and conventions which can be reflected as metrics. Metrics include a variety of measures that provide tangible evidence and intuitive indicators that assess biological resources. Using metrics, a biological community can collect, disseminate and use valuable data essential for its work.

Here, we describe PIsCO, a Node.js JavaScript framework for collection/registration, dissemination and reuse of biological resource metrics. In the PIsCO framework, metrics are stored in a common repository and can be shared and reused by the scientific community. PIsCO can be used to: a) provide standard definitions of metrics; b) facilitate software to collect metrics; and c) facilitate the monitoring (by executing each metric’s functionality automatically) and analysis of the retrieved metrics. In turn, these metrics data can be used by scientists, funders and academic institutions as performance indicators to assess the impact of biological resources to support decision-making. An overview of the PIsCO framework structure is shown in Figure 1. There are three main elements to the architecture: (a) a Component (blue) consists of a metric standard definition (metadata) and its described functionality; (b) the Registry (purple),  which stores the metadata of registered components and (c) the Data and Monitoring Repository (green) retrieves the metrics and stores results in a database.
Solving FDE-IVPs by using Fractional HBVMs: some experiments with the fhbvm code
Creators: name: Brugnano, L.
name: Gurioli, G.
name: Iavernaro, F.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 34A08, 65R20, 65-04

description: In this paper we report a few numerical tests by using a slight extension of the Matlab code fhbvm in [8], implementing Fractional HBVMs, a recently introduced class of numerical methods for solving Initial Value Problems of Fractional Differential Equations (FDE-IVPs). The reported experiments are aimed to give evidence of its effectiveness.
description: 10 pages, 4 figures, minor typos fixed. J. Comput. Methods Sci. Eng. (2025)
Clustering Time-Evolving Networks Using the Spatio-Temporal Graph Laplacian
Creators: name: Trower, Maia
name: Conrad, Nataša Djurdjevac
name: Klus, Stefan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Social and Information Networks (cs.SI)
subject: Machine Learning (cs.LG)
subject: Dynamical Systems (math.DS)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Time-evolving graphs arise frequently when modeling complex dynamical systems such as social networks, traffic flow, and biological processes. Developing techniques to identify and analyze communities in these time-varying graph structures is an important challenge. In this work, we generalize existing spectral clustering algorithms from static to dynamic graphs using canonical correlation analysis (CCA) to capture the temporal evolution of clusters. Based on this extended canonical correlation framework, we define the spatio-temporal graph Laplacian and investigate its spectral properties. We connect these concepts to dynamical systems theory via transfer operators, and illustrate the advantages of our method on benchmark graphs by comparison with existing methods. We show that the spatio-temporal graph Laplacian allows for a clear interpretation of cluster structure evolution over time for directed and undirected graphs.
Approximate real-time evolution operator for potential with one ancillary qubit and application to first-quantized Hamiltonian simulation
Creators: name: Huang, Xinchi
name: Kosugi, Taichi
name: Nishi, Hirofumi
name: Matsushita, Yu-ichiro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this article, we compare the methods implementing the real-time evolution operator generated by a unitary diagonal matrix where its entries obey a known underlying real function. When the size of the unitary diagonal matrix is small, a well-known method based on Walsh operators gives a good and precise implementation. In contrast, as the number of qubits grows, the precise one uses exponentially increasing resources, and we need an efficient implementation based on suitable approximate functions. Using piecewise polynomial approximation of the function, we summarize the methods with different polynomial degrees. Moreover, we obtain the overheads of gate count for different methods concerning the error bound and grid parameter (number of qubits). This enables us to analytically find a relatively good method as long as the underlying function, the error bound, and the grid parameter are given. This study contributes to the problem of encoding a known function in the phase factor, which plays a crucial role in many quantum algorithms/subroutines. In particular, we apply our methods to implement the real-time evolution operator for the potential part in the first-quantized Hamiltonian simulation and estimate the resources (gate count and ancillary qubits) regarding the error bound, which indicates that the error coming from the approximation of the potential function is not negligible compared to the error from the Trotter-Suzuki formula.