bluuebunny/crossref_metadata_2025_split huggingface dataset:
FSH3D: 3D Representation via Fibonacci Spherical Harmonics
Authors: Li Zikuan , Huang Anyi , Jia Wenru , Wu Qiaoyun , Wei Mingqiang , Wang Jun 
Published: October 2024

AbstractSpherical harmonics are a favorable technique for 3D representation, employing a frequency‐based approach through the spherical harmonic transform (SHT). Typically, SHT is performed using equiangular sampling grids. However, these grids are non‐uniform on spherical surfaces and exhibit local anisotropy, a common limitation in existing spherical harmonic decomposition methods. This paper proposes a 3D representation method using Fibonacci Spherical Harmonics (FSH3D). We introduce a spherical Fibonacci grid (SFG), which is more uniform than equiangular grids for SHT in the frequency domain. Our method employs analytical weights for SHT on SFG, effectively assigning sampling errors to spherical harmonic degrees higher than the recovered band‐limited function. This provides a novel solution for spherical harmonic transformation on non‐equiangular grids. The key advantages of our FSH3D method include: 1) With the same number of sampling points, SFG captures more features without bias compared to equiangular grids; 2) The root mean square error of 32‐degree spherical harmonic coefficients is reduced by approximately 34.6% for SFG compared to equiangular grids; and 3) FSH3D offers more stable frequency domain representations, especially for rotating functions. FSH3D enhances the stability of frequency domain representations under rotational transformations. Its application in 3D shape reconstruction and 3D shape classification results in more accurate and robust representations. Our code is publicly available at https://github.com/Miraclelzk/Fibonacci-Spherical-Harmonics.
Evolutive 3D Urban Data Representation through Timeline Design Space
Authors: Gautier C. Le Bihan , Delanoy J. , Gesquière G. 
Published: October 2024

AbstractCities are constantly changing to adapt to new societal and environmental challenges. Understanding their evolution is thus essential to make informed decisions about their future. To capture these changes, cities are increasingly offering digital 3D snapshots of their territory over time. However, existing tools to visualise these data typically represent the city at a specific point in time, limiting a comprehensive analysis of its evolution. In this paper, we propose a new method for simultaneously visualising different versions of the city in a 3D space. We integrate the different versions of the city along a new way of 3D timeline that can take different shapes depending on the needs of the user and the dataset being visualised. We propose four different shapes of timelines and three ways to place the versions along it. Our method places the versions such that there is no visual overlap for the user by varying the parameters of the timelines, and offer options to ease the understanding of the scene by changing the orientation or scale of the versions. We evaluate our method on different datasets to demonstrate the advantages and limitations of the different shapes of timeline and provide recommendations so as to which shape to chose.
Disk B‐spline on 𝕊2: A Skeleton‐based Region Representation on 2‐Sphere
Authors: Zheng Chunhao , Zhao Yuming , Wu Zhongke , Wang Xingce 
Published: October 2024

AbstractDue to the widespread applications of 2‐dimensional spherical designs, there has been an increasing requirement of modeling on the 𝕊2 manifold in recent years. Due to the non‐Euclidean nature of the sphere, it has some challenges to find a method to represent 2D regions on 𝕊2 manifold. In this paper, a skeleton‐based representation method of regions on 𝕊2, disk B‐spline(DBSC) on 𝕊2 is proposed. Firstly, we give the definition and basic algorithms of DBSC on 𝕊2. Then we provide the calculation method of DBSC on 𝕊2, which includes calculating the boundary points, internal points and their corresponding derivatives. Based on that, we give some modeling methods of DBSC on 𝕊2, including approximation, deformation. In the end, some stunning application examples of DBSC on 𝕊2 are shown. This work lays a theoretical foundation for further applications of DBSC on 𝕊2.
Symmetric Piecewise Developable Approximations
Authors: He Ying , Fang Qing , Zhang Zheng , Dai Tielin , Wu Kang , Liu Ligang , Fu Xiao‐Ming 
Published: October 2024

AbstractWe propose a novel method for generating symmetric piecewise developable approximations for shapes in approximately global reflectional or rotational symmetry. Given a shape and its symmetry constraint, the algorithm contains two crucial steps: (i) a symmetric deformation to achieve a nearly developable model and (ii) a symmetric segmentation aided by the deformed shape. The key to the deformation step is the use of the symmetric implicit neural representations of the shape and the deformation field. A new mesh extraction from the implicit function is introduced to construct a strictly symmetric mesh for the subsequent segmentation. The symmetry constraint is carefully integrated into the partition to achieve the symmetric piecewise developable approximation. We demonstrate the effectiveness of our algorithm over various meshes.
FastFlow: GPU Acceleration of Flow and Depression Routing for Landscape Simulation
Authors: Jain Aryamaan , Kerbl Bernhard , Gain James , Finley Brandon , Cordonnier Guillaume 
Published: October 2024

AbstractTerrain analysis plays an important role in computer graphics, hydrology and geomorphology. In particular, analyzing the path of material flow over a terrain with consideration of local depressions is a precursor to many further tasks in erosion, river formation, and plant ecosystem simulation. For example, fluvial erosion simulation used in terrain modeling computes water discharge to repeatedly locate erosion channels for soil removal and transport. Despite its significance, traditional methods face performance constraints, limiting their broader applicability.In this paper, we propose a novel GPU flow routing algorithm that computes the water discharge in 𝒪(log n) iterations for a terrain with n vertices (assuming n processors). We also provide a depression routing algorithm to route the water out of local minima formed by depressions in the terrain, which converges in 𝒪(log2 n) iterations. Our implementation of these algorithms leads to a 5× speedup for flow routing and 34 × to 52 × speedup for depression routing compared to previous work on a 10242 terrain, enabling interactive control of terrain simulation.
Thai pharmacogenomics database −2 (TPGxD‐2) sequel to TPGxD‐1, analyzing genetic variants in 26 non‐VIPGx genes within the Thai population
Authors: John Shobana , Klumsathian Sommon , Own‐eium Paravee , Charoenyingwattana Angkana , Eu‐ahsunthornwattana Jakris , Sura Thanyachai , Dejsuphong Donniphat , Sritara Piyamitr , Vathesatogkit Prin , Thongchompoo Nartthawee , Thabthimthong Wiphaporn , Teerakulkittipong Nuttinee , Chantratita Wasun , Sukasem Chonlaphat 
Published: October 2024

AbstractNext‐generation sequencing (NGS) has transformed pharmacogenomics (PGx), enabling thorough profiling of pharmacogenes using computational methods and advancing personalized medicine. The Thai Pharmacogenomic Database‐2 (TPGxD‐2) analyzed 948 whole genome sequences, primarily from the Electricity Generating Authority of Thailand (EGAT) cohort. This study is an extension of the previous Thai Pharmacogenomic Database (TPGxD‐1) and specifically focused on 26 non‐very important pharmacogenes (VIPGx) genes. Variant calling was conducted using Sentieon (version 201808.08) following GATK's best workflow practices. We then annotated variant call format (VCF) files using Golden Helix VarSeq 2.5.0. Star allele analysis was performed with Stargazer v2.0.2, which called star alleles for 22 of 26 non‐VIPGx genes. The variant analysis revealed a total of 14,529 variants in 26 non‐VIPGx genes, with TBXAS1 had the highest number of variants (27%). Among the 14,529 variants, 2328 were novel (without rsID), with 87 identified as clinically relevant. We also found 56 known PGx variants among the known variants (n = 12,201), with UGT2B7 (19.64%), CYP1B1 (8.9%), SLCO2B1 (8.9%), and POR (8.9%) being the most common. We reported a high frequency of intermediate metabolizers (IMs) in CYP2F1 (34.6%) and CYP4A11 (8.6%), and a high frequency of decreased functional alleles in POR (53.9%) and SLCO1B3 (34.9%) genes. This study enhances our understanding of pharmacogenomic profiling of 26 non‐VIPGx genes of notable clinical importance in the Thai population. However, further validation with additional computational and reference genotyping methods is necessary, and novel alleles identified in this study should undergo further orthogonal validation.
The Wolf Spider Tigrosa helluo Uses Visual Associative and Beacon Landmarks During Water Maze Navigation Tasks
Authors: Weidman Riko , Persons Kelsey , Persons Matthew 
Published: October 2024

ABSTRACTWolf spiders can learn simple spatial navigation tasks. Previous studies have shown that the wolf spider Tigrosa helluo can use environmental edge features (reference frame landmarks) to learn the location of a dry target in flooded T‐mazes; however, the relative importance of different types or numbers of landmark cues to spatial learning remains unknown. We used a modified open arena water maze and recorded the ability of adult female T. helluo to find a target reward (a dark and dry cup) among cups that were identical to the target but flooded. We measured variation in spatial learning by measuring time to target with no landmark (control), with a beacon (a landmark that is part of the target), with an associative cue (a landmark associated with a specific navigational action), and with both a beacon and an associative cue (N = 92 subjects, n = 23 per landmark cue treatment). For each treatment, we tested females for five trials each on four consecutive days, with the last trial on the fourth day having an altered target location, totaling 19 training trials and one reversal trial (1840 trials). We found that spiders took significantly less time to find the target over subsequent trials within a day and learned more quickly when landmark cues were present, but we found no difference in the type or number of landmark features in the meantime to target entrance. After learning a target location, moving the landmark significantly increased the mean time to target entrance in the combined beacon and associative cue treatment relative to other treatments. Our results indicate that wolf spiders use visual beacons and associative cue landmarks alone or in combination and that performance improves across trials when landmarks are present and deteriorates more when multiple landmarks are moved.
Genetic Stock Identification Reveals Mismatches Between Management Areas and Population Genetic Structure in a Migratory Pelagic Fish
Authors: Seljestad Gaute Wilhelmsen , Quintela María , Bekkevold Dorte , Pampoulie Christophe , Farrell Edward D. , Kvamme Cecilie , Slotte Aril , Dahle Geir , Sørvik Anne Grete , Pettersson Mats E. , Andersson Leif , Folkvord Arild , Glover Kevin A. , Berg Florian 
Published: October 2024

ABSTRACTSustainable fisheries management is important for the continued harvest of the world's marine resources, especially as they are increasingly challenged by a range of climatic and anthropogenic factors. One of the pillars of sustainable fisheries management is the accurate identification of the biological units, i.e., populations. Here, we developed and implemented a genetic baseline for Atlantic herring harvested in the Norwegian offshore fisheries to investigate the validity of the current management boundaries. This was achieved by genotyping > 15,000 herring from the northern European seas, including samples of all the known populations in the region, with a panel of population‐informative SNPs mined from existing genomic resources. The final genetic baseline consisted of ~1000 herring from 12 genetically distinct populations. We thereafter used the baseline to investigate mixed catches from the North and Norwegian Seas, revealing that each management area consisted of multiple populations, as previously suspected. However, substantial numbers (up to 50% or more within a sample) of herring were found outside of their expected management areas, e.g., North Sea autumn‐spawning herring north of 62° N (average = 19.2%), Norwegian spring‐spawning herring south of 62° N (average = 13.5%), and western Baltic spring‐spawning herring outside their assumed distribution area in the North Sea (average = 20.0%). Based upon these extensive observations, we conclude that the assessment and management areas currently in place for herring in this region need adjustments to reflect the populations present. Furthermore, we suggest that for migratory species, such as herring, a paradigm shift from using static geographic stock boundaries towards spatial dynamic boundaries is needed to meet the requirements of future sustainable management regimes.
The essence of contextual therapy, its place in the field of family therapy, and its role in the future
Authors: Ducommun‐Nagy Catherine 
Published: October 2024

AbstractThis article aims to present the basic tenets of contextual therapy and its treatment goals, methodology, and theory of change. It provides an orientation for readers who are new to the approach and should serve as an updated frame of reference for readers already familiar with it. An important contribution of this article is that it clarifies the place of contextual therapy in the vast field of family therapy and dispels some common misunderstandings about the path of its founder, Ivan Boszormenyi‐Nagy (1920–2007). Additionally, it demonstrates why contextual therapy should be counted among the postmodern, collaborative approaches to family therapy, which contradicts the usual view that it belongs to the earlier modern models of family therapy. Furthermore, it shows that contextual therapy is well‐equipped to incorporate the current and future contributions of human sciences and offers unique therapeutic resources to address the individual and relational consequences of injustices that should remain relevant for the foreseeable future.
AVOTREX: A Global Dataset of Extinct Birds and Their Traits
Authors: Sayol Ferran , Wayman Joseph P. , Dufour Paul , Martin Thomas E. , Hume Julian P. , Jørgensen Maria Wagner , Martínez‐Rubio Natàlia , Sanglas Ariadna , Soares Filipa C. , Cooke Rob , Mendenhall Chase D. , Margolis Jay R. , Illera Juan Carlos , Lemoine Rhys , Benavides Eva , Lapiedra Oriol , Triantis Kostas A. , Pigot Alex L. , Tobias Joseph A. , Faurby Søren , Matthews Thomas J. 
Published: October 2024

ABSTRACTMotivationHuman activities have been reshaping the natural world for tens of thousands of years, leading to the extinction of hundreds of bird species. Past research has provided evidence of extinction selectivity towards certain groups of species, but trait information is lacking for the majority of clades, especially for prehistoric extinctions identified only through subfossil remains. This incomplete knowledge potentially obscures the structure of natural communities, undermining our ability to infer changes in biodiversity across space and time, including trends in functional and phylogenetic diversity. Biases in currently available trait data also limit our ability to identify drivers and processes of extinction. Here we present AVOTREX, an open‐access database of species traits for all birds known to have gone extinct in the last 130,000 years. This database provides detailed morphological information for 610 extinct species, along with a pipeline to build phylogenetic trees that include these extinct species.Main Types of Variables ContainedFor each extinct bird species, we provide information on the taxonomy, geographic location, and period of extinction. We also present data on island endemicity, flight ability, and body mass, as well as standard measurements of external (matching the AVONET database of extant birds) and skeletal morphology from museum specimens where available. To ensure comprehensive morphological data coverage, we estimate all missing morphological measurements using a data imputation technique based on machine learning. Finally, we provide an R package to graft all extinct species onto a global phylogeny of extant species (BirdTree).Spatial Location and GrainGlobal.Time Period and GrainAll known globally extinct bird species from 130,000 years ago up until 2024.Major Taxa and Level of MeasurementBirds (Class Aves), species level.Software FormatSpreadsheets (.csv) stored in Dryad.
Role of C–C chemokine receptor type 5 in pathogenesis of malaria and its severe forms
Authors: Ziliotto Marina , Ellwanger Joel Henrique , Kulmann‐Leal Bruna , Pontillo Alessandra , Chies José Artur Bogo 
Published: October 2024

AbstractMalaria is a mosquito‐borne disease caused by Plasmodium parasites, responsible for a significant impact on public health in several tropical and sub‐tropical countries. The majority of infection cases are classified as uncomplicated malaria, causing mild symptoms such as fever and headache. However, the disease may progress to severe malaria and death if the infection is not properly treated. Furthermore, malaria poses a major concern for children, pregnant women and immunosuppressed individuals. Exacerbated inflammation is characteristic of severe malaria cases. The C–C chemokine receptor type 5 (CCR5) is an important molecule for leukocyte migration and regulation of inflammation. Although widely known as an HIV‐1 co‐receptor, CCR5 also affects the susceptibility and progression of autoimmune and inflammatory diseases. There is evidence supporting the participation of CCR5 in malaria manifestations, with the evaluation of CCR5 gene expression levels suggested as a marker to monitor malaria severity. Certain genetic variants in the CCR5 gene affect CCR5 expression, potentially altering CCR5‐mediated inflammatory responses during malaria infection. However, the complex influences of CCR5 on malaria remain underexplored. Therefore, this review examines and updates the role of CCR5 in various contexts of malaria infection, including uncomplicated malaria, Plasmodium/HIV co‐infection, pregnancy and severe (cerebral) malaria.
Determinants of Household and Professional Forecasters’ Inflation Expectations in India
Authors: K. C. Irfan Ali , Adil Masudul Hasan 
Published: October 2024

ABSTRACTThis study analyses and compares the determinants of inflation expectations among households and professional forecasters in India. To this end, we utilize quarterly survey data from the Reserve Bank of India (RBI), specifically the Inflation Expectations Survey of Households (IESH) and the Professional Forecasters’ Survey (SPF). The analysis employs a non‐recursive structural vector autoregressive (SVAR) model to explore the relationships between variables. The impulse response function and variance decomposition analysis shed light on the response of inflation expectations to macroeconomic shocks. Our findings indicate that apart from conventional macroeconomic factors like realized inflation and monetary policy, exogenous factors such as oil prices significantly shape inflation expectations. Comparing IESH and SPF, we found out that household expectations are more sensitive to shocks related to food prices, reflecting the influence of food expenses on household decision‐making. Conversely, professional forecasters’ expectations are more influenced by core inflation. Finally, we observed that inflation expectations adjust more quickly than realized inflation in response to macroeconomic shocks, suggesting a leading role. This study is novel with the contribution to the existing literature as it provides a comparative analysis of determinants of inflation expectations between households and professional forecasters in India, while also considering inflation targeting as a significant factor.
Broken Time: On the Fragmentation of the Experience of Art School and the Impact on Identity Formation and Ttransformation
Authors: Quaife Magnus 
Published: October 2024

AbstractThis paper explores how increases in modularisation, elements of professional practice and even our relationship to screens and social media are amongst the factors that have changed the way time is experienced in higher fine art education. I draw upon my experience as a student, educator and pedagogical researcher to propose that identity formation and/or transformation are amongst the key functions of higher education in fine art in the West; that becoming an artist involves complex process of socialisation and individuation; and that these processes take time. I speculate that time is something which was once experienced comparatively smoothly but has been striated and fragmented by various factors including an increased focus on employability, the presence of social media, and not least various post Bologna interpretations at national or local level of the introduction of units and modules to comply with standardised credit systems. I propose that the combined effect of these factors amongst others distracts students from the middle by focusing them on micro destinations that deflect from developing a practice and impacts on these potentials.
Quick, Quick, Slow: Making Time for Sustainable Photography Practices in Contemporary Higher Education
Authors: Piper‐Wright Tracy , Jussa Tabitha 
Published: October 2024

AbstractAs environmental awareness grows, so do questions about the environmental impact of photography, in particular traditional film development and processing, which includes the use of plastics, gelatine and other environmentally harmful chemicals notwithstanding water usage and waste. Pioneering practice and research into sustainable alternatives to conventional processes has quickly established, supported by organisations such as The Sustainable Darkroom. Students in Higher Education are environmentally aware and prepared to take action to mitigate their impacts where possible. As such, there is a coalescence of perceptions within and beyond the classroom which asks to be addressed in the curriculum. This paper draws upon the research project Under a Green Light: A Darkroom for the Future which investigated how university darkroom practices can pivot toward more environmentally friendly methods. The paper describes the learning environment of the darkroom as a space of slowness, immersion and experimentation and the pedagogic value of this for photography students. The paper argues that incorporating environmental awareness into day‐to‐day teaching through systemic changes to process and practice, rather than through short term curriculum interventions, contributes to transformative learning experiences and promotes positive long‐term change.