bluuebunny/crossref_metadata_2025_split huggingface dataset:
New paradigms shift in buildings: experimental application of Digital Twin for safety and well-being
Authors: Azzalin Maria , Lauria Massimo , Gulletta Antonino , Melchini Tommaso 
Published: October 2024

Abstract
Enhancing durability and service life of buildings and components is pivotal for sustainable development. It constitutes an opportunity to reduce energy consumption, carbon emissions and life cycle impact of buildings in a climate neutral perspective. Issues strongly introduced and set as priorities by EU policies that highlight the urgent need to tackle them also through deeply heritage renovation and digital transformation in the building sector. Digitalization is a cornerstone of this transformation, instrumental in facilitating and enabling it sustainably. The Key Enabling Technologies (KETs) are directly associated with new technological potential and emerging technologies. Digital Twin (DT) approach appears alongside these. Its experimentation and widespread application are gaining prominence in innovating Life Cycle Management (LCM) and sustainability practices of buildings.
In this scenario the paper explores the role and potentialities of DT approach presenting the experimental application of the DT4SEM. A digital infrastructure that, by integrating Internet of Things (IoT), synchronizes a physical building with its virtual counterpart. The two realities (physical and virtual) remain interconnected through the mutual exchange of data, both in real-time and asynchronously enabling proactive monitoring and analysis of seismic behaviour. The experimental setup involves simultaneously Big Data analytics, simulation tools and deploying sensors within the sample building. Data is then fed into the virtual DT model, allowing for continuous comparison and analysis to detect anomalies and predict potential risks. This approach facilitates enhanced decision-making, performance optimization and sustainability improvements across the building’s lifecycle: a new vision for built environment management that evolves from a process resulting in a sequence of operative phases into a complex digital infrastructure. The design of the DT4SEM and the current application for seismic monitoring in buildings, results from a collaborative effort involving the academic spinoff BIG srl, the startup Sysdev, the company Berna Engineering srl, and ACCA Software spa.
The Doughnut Biotool: A tool to assess life-cycle biodiversity impacts from building projects
Authors: Francart Nicolas , Nøddegaard Hansen Rasmus , Ernst Andersen Camilla , Ryberg Morten , Kristenssen Stranddorf Liv , Birgisdóttir Harpa 
Published: October 2024

Abstract
Life-cycle assessment (LCA) is widely used in certifications, regulations, and voluntary declarations covering the climate impact of buildings over their entire value chain. However, biodiversity impacts and other environmental impact categories are often disregarded. Conversely, there is a trend towards more systematic assessments of the biodiversity impacts that occur on-site as part of development projects (e.g. land transformation on the project site). However, off-site biodiversity impacts occurring throughout the rest of the value chain (e.g. from forestry activities, mining, manufacturing, heat and electricity production) are rarely considered. To bridge this gap, this article introduces the Doughnut Biotool, an open-source calculation tool to assess biodiversity impacts throughout the entire life cycle of development projects. The tool was initially developed to help implement Doughnut Economics and absolute sustainability principles in development projects. It constitutes a first step towards a better consideration of biodiversity impacts related to material- and energy use in building and construction projects. This paper presents the design of the tool and the method and data it relies on. The tool is applied to two separate case study projects, and used as a basis to discuss hotspots of biodiversity impacts within the building’s life cycle. Finally, the paper includes a discussion of the main challenges and opportunities for the future development and use of the tool, as well as for biodiversity impact assessments in the building sector as a whole.
Dynamic culture of cerebral organoids using a pillar/perfusion plate for the assessment of developmental neurotoxicity
Authors: Acharya Prabha , Shrestha Sunil , Joshi Pranav , Choi Na Young , Lekkala Vinod Kumar Reddy , Kang Soo-Yeon , Ni Gabriel , Lee Moo-Yeal 
Published: October 2024

Abstract
Despite the potential toxicity of commercial chemicals to the development of the nervous system (known as developmental neurotoxicity or DNT), conventional in vitro cell models have primarily been employed for the assessment of acute neuronal toxicity. On the other hand, animal models used for the assessment of DNT are not physiologically relevant due to the heterogenic difference between humans and animals. In addition, animal models are low-throughput, time-consuming, expensive, and ethically questionable. Recently, human brain organoids have emerged as a promising alternative to assess the detrimental effects of chemicals on the developing brain. However, conventional organoid culture systems have several technical limitations including low throughput, lack of reproducibility, insufficient maturity of organoids, and the formation of the necrotic core due to limited diffusion of nutrients and oxygen. To address these issues and establish predictive DNT models, cerebral organoids were differentiated in a dynamic condition in a unique pillar/perfusion plate, which were exposed to test compounds to evaluate DNT potential. The pillar/perfusion plate facilitated uniform, dynamic culture of cerebral organoids with improved proliferation and maturity by rapid, bidirectional flow generated on a digital rocker. Day 9 cerebral organoids in the pillar/perfusion plate were exposed to ascorbic acid (DNT negative) and methylmercury (DNT positive) in a dynamic condition for 1 and 3 weeks, and changes in organoid morphology and neural gene expression were measured to determine DNT potential. As expected, ascorbic acid did not induce any changes in organoid morphology and neural gene expression. However, exposure of day 9 cerebral organoids to methylmercury resulted in significant changes in organoid morphology and neural gene expression. Interestingly, methylmercury did not induce adverse changes in cerebral organoids in a static condition, thus highlighting the importance of dynamic organoid culture in DNT assessment.
Recent advances in electrical engineering: exploring graph neural networks for weather prediction in data-scarce environments
Authors: Bhandari Harish Chandra , Pandeya Yagya Raj , Jha Kanhaiya , Jha Sudan 
Published: October 2024

Abstract
In regions like Nepal, characterized by diverse geography, missing weather data poses a significant challenge for traditional imputation methods. These methods often struggle to capture the complexities of dynamic environments adequately. To overcome this challenge, our study explores the application of graph neural networks for weather prediction in data-scarce environments. Our approach entails the development of specialized models tailored to accommodate the non-Euclidean topology inherent in weather data. This framework encompasses preprocessing, graph representation, feature selection, and imputation techniques to predict missing atmospheric variables. The adaptability of our models to intricate geography ensures more precise representations of weather conditions. Our research demonstrates the efficacy of these models through rigorous testing on a substantial dataset spanning four decades since 1981. By harnessing state-of-the-art graph neural network technology, our study aims to address existing gaps in weather data prediction, leading to improved historical weather forecasting accuracy. Ultimately, this advancement contributes to enhanced meteorological understanding and forecasting precision in data-scarce regions.
Thermal performance and characterization of phase change material composites reinforced with nano-particles in thermal energy storage systems: a review
Authors: Upadhyay Viyat Varun , Singhal Sandeep , Pandey Adarsh 
Published: October 2024

Abstract
Energy storage nowadays is a cumbersome process that needs to be exploited for its best use. This review paper discusses the challenges of efficiently utilizing energy storage and proposes phase-change materials (PCMs) with Nano-particle reinforcement as a solution, particularly for storing solar thermal energy. Various synthesis methods for PCM, including impregnation and encapsulation, are examined, emphasizing factors like particle size, shape, and solid content. Carbon-based materials, including carbon nanotubes and graphene oxide, emerge as superior options due to their reliability, cost-effectiveness, lightweight nature, and high heat transfer efficiency, with minimal environmental impact. This review highlights the enhanced thermal conductivity of Nano-particle-reinforced PCM composites, emphasizing their thermally stable, durable, and conductive properties. Additionally, it discusses thermal performance through techniques like DSC, TGA, and DTG, along with material characterization methods such as FTIR, SEM, XRD, EDX, and XPS analysis. Overall, the research underscores the promising potential of Nano-particle-reinforced PCM composites for efficient energy storage and thermal management applications.
Anchoring criminal justice to facts
Authors: Kivivuori Janne 
Published: October 2024

Abstract
This chapter discusses the origins of data-driven criminology from the point of view of the prison and criminal justice reform movements. The study period witnessed the rise of both criminology and criminal justice somptudies, and these were intimately connected. A central frame provided by the criminal justice reformers was the ‘gentlification’ process, referring to people’s increasing distaste for harsh punishments in the context of a drop in violence. The new data gave novel assets to argue for this frame. The data–policy link was bridged by the halo argument, connecting good policies with other good policies, and the foil argument, using foreign lands as useful backdrops in criminal justice policy battles. The latter concept draws on David Nelken’s seminal work on the foil argument and generalizes it to the historical origins of criminal justice research. Thus, some of the first generation of data-driven criminologists saw the US as a Nordic paradise, an epitome of humane and rational criminal justice.
Insight from critique: the Genevans
Authors: Kivivuori Janne 
Published: October 2024

Abstract
This chapter deals with the Genevan connection in the emergence of the first data-driven criminology. This contribution is linked to the names of Alphonse de Candolle (1806–93) and Pellegrino Rossi (1787–1848), the law professor of Italian background. Rossi examined how crime statistics were embedded in the societies and cultures of their origin, formulating a social–cultural perception theory of crime. De Candolle, in turn, perfected the skill of statistics interpretation by engaging in detailed analysis of the recording ladder—the social and legal thresholds an act had to cross to reach statistics. He did this to enable, rather than to preclude, the use of administrative crime data for research purposes. While doing this, he formulated the basic axiom of routine activity theory, pointing out the logical conditions for a crime to take place: motivated offender, suitable target, and lack of obstacles for the commission of crime.
Salafism between purism and politicking: Chieftaincy struggles, party competition, and the Anbariya movement in Dagbon, Northern Ghana
Authors: Saalfeld Jannis , Iddrisu Abdulai 
Published: October 2024

Abstract
The dynamics of Salafi activism in African settings have gained attention in recent years. In the light of the regional spread of jihadist militancy, Salafi-jihadist groups such as Boko Haram and al-Shabaab have made international headlines. At the same time, Salafi groups and activists across the region have not shied away from ‘playing politics’ and engaging with secular elites and political parties. What explains this Salafi involvement in secular party politics? This article addresses this question based on a case study of the Ghanaian Anbariya movement, an influential Islamic group that was created by the eminent cleric Afa Ajura in Dagbon in the 1950s and gradually evolved into a major pillar of homegrown Ghanaian Salafism. Identifying the Anbariya as a reformist group in the sphere of political Salafism, we contend that the movement’s sustained involvement in the political process has been inextricably linked with a protracted chieftaincy rivalry pitting against each other the Abudu and Andani royal gates of Dagbon. As we explore the Anbariya’s involvement in this conflict and in Ghanaian party politics, we highlight the potential of communal cleavages for shaping the political preferences of religious actors.
It can be rational to change priors
Authors: Ye Ru 
Published: October 2024

Abstract
According to a widely held norm of rationality, one should not change prior credences without new evidence. An important argument for this norm appeals to accuracy considerations, which say that changing priors does not maximize expected accuracy. This is because accuracy measures are strictly proper, and thus any probabilistically coherent person regards her own priors as uniquely maximizing expected accuracy compared with other priors. This paper attempts to resist the accuracy argument against changing priors. We argue that even if rational epistemic decisions maximize expected accuracy according to strictly proper accuracy measures, it can still be rational to change priors sometimes. The core idea of our argument is that changing priors can be rational if one wants to maximize not just one’s current, short-term accuracy but also future, long-term accuracy. Our argument, if successful, shows that considering long-term accuracy has significant ramifications for the accuracy-first project.
Improving the Supraalar Groove Aesthetic Subunit and Lateral Crura Convex-Concave Deformity
Authors: Guilarte Ruben , Çakir Baris 
Published: October 2024

Abstract

Background
Lateral crura surface problems are one of the most difficult challenges in nose tip surgery. Closed preservation rhinoplasty (CPR) is a revolutionary concept that keeps nose tip flexibility and elasticity. By solving lateral crura surface problems and keeping tip flexibility the surgeon will accomplish a sharper supraalar groove transition between the dorsum and the tip.

Objectives
The convex-concave lateral crura deformity (CCLCD) or S-shaped lateral crura is one of the biggest constraints to accomplishing a beautiful tip and dorsum-tip transition (DTT). This deformity is the reason for the commonly called parenthesis deformity of cephalic malposition. This LLC convex-concave shape creates a C-shaped shadow. This DTT is one of the key areas for accomplishing natural results, and it depends on different nose structures, not just the lower lateral cartilages (LLC).

Methods
A total of 560 rhinoplasty cases were studied retrospectively between September and December 2023. Three hundred and twenty patients had at least 1 year of follow-up. Patients had follow-up at 2 weeks, 1 month, 3 months, 6 months, and 1 year after surgery. No secondary rhinoplasty was included. Only 2 secondary septoplasty cases were included, without any nose skin undermining in the previous surgery. Surgical details were documented, including the 6 fundamental steps of this technique: (1) mucosal lower lateral incision, (2) dorsum subperichondral dissection and vertical scroll release, (3) lateral crura tail caudal release, lateral crura steal and slide-under flap lateralization, (4) upper lateral caudal resection, (5) vertical scroll reconstruction, and (6) turning point extension graft.

Results
Three hundred and twenty patients had at least 1 year of follow-up. In total, 516 patients underwent a closed approach and 47 patients an open approach. All patients had subperichondral dissection of the hump envelope. All patients who underwent a closed approach had a low-strip letdown dorsal preservation technique. All patients who underwent an open approach had a structural technique with spreader flaps or grafts at the keystone area. All the patients underwent osteotomies with a piezoelectric device. Twenty-three revisional surgeries were necessary.

Conclusions
CPR taught us how important ligament and soft tissue preservation are. We learned that the less damage you do to the nose soft tissues and scaffold, the less support you need for it. Surgeons have been overgrafting the lateral crura to solve postoperative problems mainly because of dissection problems and lack of lateral crura support. This paper describes how to solve lateral crura surface problems, keeping the tip flexible and elastic, and also creating a nice and natural supraalar groove transition, by applying 6 surgical maneuvers.

Level of Evidence: 4 (Therapeutic)
Xenomake: a pipeline for processing and sorting xenograft reads from spatial transcriptomic experiments
Authors: Strope Benjamin S , Pendleton Katherine E , Bowie William Z , Echeverria Gloria V , Zhu Qian 
Published: October 2024

Abstract

Summary
Xenograft models are attractive models that mimic human tumor biology and permit one to perturb the tumor microenvironment and study its drug response. Spatially resolved transcriptomics (SRT) provides a powerful way to study the organization of xenograft models, but currently there is a lack of specialized pipeline for processing xenograft reads originated from SRT experiments. Xenomake is a standalone pipeline for the automated handling of spatial xenograft reads. Xenomake handles read processing, alignment, xenograft read sorting, and connects well with downstream spatial analysis packages. We additionally show that Xenomake can correctly assign organism-specific reads, reduce sparsity of data by increasing gene counts, while maintaining biological relevance for studies.

Availability and implementation
Xenomake is an open-source program that is available on Github (https://github.com/qianzhulab/Xenomake). Complete documentation can be found at the link.
Statistical batch-aware embedded integration, dimension reduction, and alignment for spatial transcriptomics
Authors: Li Yanfang , Zhang Shihua 
Published: October 2024

Abstract

Motivation
Spatial transcriptomics (ST) technologies provide richer insights into the molecular characteristics of cells by simultaneously measuring gene expression profiles and their relative locations. However, each slice can only contain limited biological variation, and since there are almost always non-negligible batch effects across different slices, integrating numerous slices to account for batch effects and locations is not straightforward. Performing multi-slice integration, dimensionality reduction, and other downstream analyses separately often results in suboptimal embeddings for technical artifacts and biological variations. Joint modeling integrating these steps can enhance our understanding of the complex interplay between technical artifacts and biological signals, leading to more accurate and insightful results.

Results
In this context, we propose a hierarchical hidden Markov random field model STADIA to reduce batch effects, extract common biological patterns across multiple ST slices, and simultaneously identify spatial domains. We demonstrate the effectiveness of STADIA using five datasets from different species (human and mouse), various organs (brain, skin, and liver), and diverse platforms (10x Visium, ST, and Slice-seqV2). STADIA can capture common tissue structures across multiple slices and preserve slice-specific biological signals. In addition, STADIA outperforms the other three competing methods (PRECAST, fastMNN, and Harmony) in terms of the balance between batch mixing and spatial domain identification, and it demonstrates the advantage of joint modeling when compared to STAGATE and GraphST.

Availability and implementation
The source code implemented by R is available at https://github.com/zhanglabtools/STADIA and archived with version 1.01 on Zenodo https://zenodo.org/records/13637744.
Functional characterization of human recessive DIS3 variants in premature ovarian insufficiency
Authors: Kline Brianna L , Siddall Nicole A , Wijaya Fernando , Stuart Catherine J , Orlando Luisa , Bakhshalizadeh Shabnam , Afkhami Fateme , Bell Katrina M , Jaillard Sylvie , Robevska Gorjana , van den Bergen Jocelyn A , Shahbazi Shirin , van Hoof Ambro , Ayers Katie L , Hime Gary R , Sinclair Andrew H , Tucker Elena J 
Published: October 2024

Abstract
Premature ovarian insufficiency (POI) is characterized by the loss or complete absence of ovarian activity in women under the age of 40. Clinical presentation of POI varies with phenotypic severity ranging from premature loss of menses to complete gonadal dysgenesis. POI is genetically heterogeneous with &gt;100 causative gene variants identified thus far. The etiology of POI varies from syndromic, idiopathic, monogenic to autoimmune causes the condition. Genetic diagnoses are beneficial to those impacted by POI as it allows for improved clinical management and fertility preservation. Identifying novel variants in candidate POI genes, however, is insufficient to make clinical diagnoses. The impact of missense variants can be predicted using bioinformatic algorithms but computational approaches have limitations and can generate false positive and false negative predictions. Functional characterization of missense variants, is therefore imperative, particularly for genes lacking a well-established genotype:phenotype correlation. Here we used whole-exome sequencing (WES) to identify the first case of a homozygous missense variant in DIS3 (c.2320C &gt; T; p.His774Tyr) a critical component of the RNA exosome in a POI patient. This adds to the previously described compound heterozygous patient. We perform the first functional characterization of a human POI-associated DIS3 variant. A slight defect in mitotic growth was caused by the variant in a Saccharomyces cerevisiae model. Transgenic rescue of Dis3 knockdown in Drosophila melanogaster with human DIS3 carrying the patient variant led to aberrant ovarian development and egg chamber degeneration. This supports a potential deleterious impact of the human c.2320C &gt; T; p.His774Tyr variant.
Racial Violence in ‘Action’: Police Storytelling and Narrativisation in the Inquiry of Jermaine Baker
Authors: Arthur Carson Cole 
Published: October 2024

Abstract
Police tell stories not only to make sense of their experiences but also, as this paper argues, they tell stories to establish legal doctrines and support justifications for their decisions. Departing from police ethnography and narrative criminology, adopting a deconstructive and critical Black Studies perspective, this paper reads the narrative W80 (a London Met police firearms officer) provided in the inquiry into the death of Jermaine Baker, a 28-year-old Black man, in 2015, to examine how uncertainty was both conditional and functional in the narrative to sustain the justification of racial violence. W80’s narrative reveals how causality undergirds the law of self-defence he cited and related on. Problematizing the distinction of story and action, this paper analyses W80’s narrative for its thematic of fiction and truth. Attending to this, the paper argues the conditions of uncertainty and open-endedness of W80’s narrative reserved for racial violence to be reasoned and justified as lawful.