bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the role of lidar measurements in speeding up precise point positioning convergence
Authors: Zhang Junjie , Khodabandeh Amir , Khoshelham Kourosh 
Published: June 2023

AbstractGlobal navigation satellite system (GNSS) and light detection and ranging (lidar) are well known to be complementary for vehicle positioning in urban canyons, where GNSS observations are prone to signal blockage and multi-path. As one of the most common carrier-phase-based precise positioning techniques, precise point positioning (PPP) enables single-receiver positioning as it utilizes state-space representation corrections for satellite orbits and clocks and does not require a nearby reference station. Yet PPP suffers from a long positioning convergence time. In this contribution, we propose to reduce the PPP convergence using an observation-level integration of GNSS and lidar. Lidar measurements, in the form of 3D keypoints, are generated by registering online scans to a pre-built high-definition map through deep learning and are then combined with dual-frequency PPP (DF-PPP) observations in an extended Kalman filter implementing the constant-velocity model that captures the vehicle dynamics. We realize real-time PPP (RT-PPP) in this integration using the IGS real-time service products for vehicle positioning. Comprehensive analyses are provided to evaluate different combinations of measurements and PPP corrections in both static and simulated kinematic modes using data captured by multiple receivers. Experimental results show that the integration achieves cm-level accuracy and instantaneous convergence by using redundant measurements. Accordingly, for classical PPP accuracy of 10 cm and convergence within minutes, respectively, lidar input is only required once every 10 s.
A risk-targeted approach for the seismic design of bridge piers
Authors: Turchetti Francesca , Tubaldi Enrico , Douglas John , Zanini Mariano Angelo , Dall’Asta Andrea 
Published: June 2023

AbstractDesigning a structure to resist earthquakes by targeting an explicit failure risk has been a key research topic over the past two decades. In this article, a risk-targeted design approach is developed for circular reinforced concrete bridge piers, based on a probabilistic optimization procedure aimed at minimising the design resisting moment at the pier base. In order to reduce the computational effort, a surrogate model is developed to describe the influence of two key design parameter (i.e., the pier diameter and the longitudinal reinforcement ratio) on the structural behaviour and performance. The proposed approach is applied in a case study for Italy for target mean annual frequencies of failure selected according to European codes using a probabilistic seismic hazard assessment for average spectral acceleration across a wide range of structural periods. The variation in the design parameters across Italy is considerable because of the large variation in seismic hazard. It is found that in areas of low seismic hazard the level of seismic design required is near the minimum allowed by Eurocode 8 in terms of reinforcement ratio. In areas of the highest seismic hazard much higher reinforcement ratios and pier diameters are required to meet the risk targets. If both pier diameter and longitudinal reinforcement ratios are considered as design parameters then the optimisation procedure may mean adjacent sites have significant different pairs of these parameters as the target can be reached in multiple ways. This problem can be solved by fixing one parameter and optimising the other.
APP-BACE1 Interaction and Intracellular Localization Regulate Aβ Production in iPSC-Derived Cortical Neurons
Authors: Roselli Sandra , Satir Tugce Munise , Camacho Rafael , Fruhwürth Stefanie , Bergström Petra , Zetterberg Henrik , Agholme Lotta 
Published: June 2023

AbstractAlzheimer’s disease (AD) is characterized pathologically by amyloid β (Aβ)-containing plaques. Generation of Aβ from amyloid precursor protein (APP) by two enzymes, β- and γ-secretase, has therefore been in the AD research spotlight for decades. Despite this, how the physical interaction of APP with the secretases influences APP processing is not fully understood. Herein, we compared two genetically identical human iPSC-derived neuronal cell types: low Aβ-secreting neuroprogenitor cells (NPCs) and high Aβ-secreting mature neurons, as models of low versus high Aβ production. We investigated levels of substrate, enzymes and products of APP amyloidogenic processing and correlated them with the proximity of APP to β- and γ-secretase in endo-lysosomal organelles. In mature neurons, increased colocalization of full-length APP with the β-secretase BACE1 correlated with increased β-cleavage product sAPPβ. Increased flAPP/BACE1 colocalization was mainly found in early endosomes. In the same way, increased colocalization of APP-derived C-terminal fragment (CTF) with presenilin-1 (PSEN1), the catalytic subunit of γ-secretase, was seen in neurons as compared to NPCs. Furthermore, most of the interaction of APP with BACE1 in low Aβ-secreting NPCs seemed to derive from CTF, the remaining APP part after BACE1 cleavage, indicating a possible novel product-enzyme inhibition. In conclusion, our results suggest that interaction of APP and APP cleavage products with their secretases can regulate Aβ production both positively and negatively. β- and γ-Secretases are difficult targets for AD treatment due to their ubiquitous nature and wide range of substrates. Therefore, targeting APP-secretase interactions could be a novel treatment strategy for AD.
Graphical Abstract
Colocalization of APP species with BACE1 in a novel model of low- versus high-Aβ secretion—Two genetically identical human iPSC-derived neuronal cell types: low Aβ-secreting neuroprogenitor cells (NPCs) and high Aβ secreting mature neurons, were compared. Increased full-length APP (flAPP)/BACE1 colocalization in early endosomes was seen in neurons, while APP-CTF/BACE1 colocalization was much higher than flAPP/BACE1 colocalization in NPCs, although the cellular location was not determined.
Intra-Acting Food Citizenship in Community-Supported Agriculture in Finland
Authors: Turunen Anni , Aro Riikka , Huttunen Suvi 
Published: June 2023

AbstractCitizens are called upon to become active participants in creating a more sustainable food system. As food citizens, people participate in defining and constructing their food systems according to their needs and values. In food policies, the concept of food citizenship is often left undefined or with reference only to individual activities. In the food citizenship literature, the role of nonhuman agency in constituting food citizenship needs more examination. Here we investigate food citizenship activities in a citizen-led community-supported agriculture group and explore the role of materiality in constituting food citizenship. We ask (1) what is the role of material-discursive arrangements in community-supported agriculture activities, and (2) how does materiality constitute food citizenship? We analyze semi-structured interviews, as well as observation and visual material, using qualitative content analysis. Our findings indicate that materialities, such as the field, time, and body, play a central role in community-supported agriculture activities. With materialities, food citizenship is understood as collective and active doing, aiming to change the food system. Instead of endorsing food citizenship as a human trait or status, we claim that it is more productive to regard it as a phenomenon, produced in intra-action with(in) material-discursive arrangements. Acknowledging nonhuman agency emphasizes the political, collective, and responsible nature of citizenship as well as the power relations behind the constitution of citizenship. We conclude that in food policies more attention should be paid to collective ways of civic participation and to the materiality of becoming a food citizen.
The Behavioral and Mental Health Benefits of Speaking the Heritage Language within Immigrant Families: The Moderating Role of Family Relations
Authors: Kilpi-Jakonen Elina , Kwon Hye Won 
Published: June 2023

AbstractUnderstanding the development of behavioral and mental health issues among adolescents, particularly those from immigrant families, is a key area of concern. Many prior studies have focused on the role of societal (country-of-destination) language skills, but we know less about the role played by the use of the heritage language in families. We examined this latter relationship with a focus on changes in heritage language use and internalizing and externalizing problems, and how family relations moderate this relationship. We used the first two waves (2010/2011 and 2011/2012) of the Children of Immigrants Longitudinal Survey in Four European Countries (CILS4EU) data collected from Germany (n = 1614; Mage = 14.8 years, 50% female), the Netherlands (n = 1203; Mage = 14.7 years, 54% female), Sweden (n = 1794; Mage = 14.2 years, 53% female), and England (n = 1359; Mage = 14.6 years, 50% female). Our results suggest that increased use of heritage language is associated with fewer externalizing problems only in families with greater family cohesion and parental warmth (in Germany and the U.K.) and with fewer internalizing problems only in families with higher parental monitoring (in the Netherlands and Sweden). Good family relations are thus an important precondition for increased heritage language use to lead to improved behavioral and mental health for children of immigrants.
VTnet+Handcrafted based approach for food cuisines classification
Authors: Nijhawan Rahul , Sinha Garima , Batra Ashita , Kumar Manoj , Sharma Himanshu 
Published: June 2023

AbstractIn this paper, we propose a novel hybrid transformer architecture for food cuisine detection and classification. The work carried out within this paper develops a combination of Vision Transformer ensemble architecture with hand-crafted features, thereby making a hybrid Vision Transformer food recognition system. Recently, Vision transformers have been introduced as an alternative means of classification to convolutional neural networks. It performs pattern detection and classification without convolutions and interprets an image as a sequence of patches. The combination of Vision Transformer and hand-crafted features like GIST, HoG (Histogram of Oriented Gradients), and LBP (Local Binary Pattern) were employed on the dataset. The dataset was specifically created (for this work) from the public logging system. It consisted of 13 food categories with 400 images of Indian food items like Ghevar, Idli, Dosa, and much more. It helped to capture a variety of images from every domain and culture. This work made use of the common and readily available food items, which can further be increased by adding on the specialties (dishes) from different regions. Various experiments were performed on CNN with various classifiers like Random forest, and SVM. Further, we compared our proposed approach with several ensembles of CNN architectures. The experiments proved that our proposed approach outperformed the state-of-the-art ensemble CNN architectures for detecting food cuisines. The proposed hybrid approach achieved an accuracy of 94.63%, sensitivity 84.42%, specificity 95.23%, and kappa coefficient 0.93, which was the best amongst all approaches.
Thermoresponsive Gel-loaded Oxcarbazepine Nanosystems for Nose- To-Brain Delivery: Enhanced Antiepileptic Activity in Rats
Authors: Abou-Taleb Basant A. , El-Ganainy Samar O. 
Published: June 2023

Abstract
Background
Oxcarbazepine (OXC) is a frequently prescribed antiepileptic drug for managing focal and generalized seizures. Its therapeutic benefits are limited by its dose-dependent side effects. Nose-to-brain delivery is a novel route for improving the efficacy of antiepileptics. Drug encapsulation in mucoadhesive nanoparticles offers even more advantages for the nasal route.

Objective
The study aimed to develop oxcarbazepine-loaded chitosan nanoparticles (OXC-NP) added to a mucoadhesive thermo-reversible gel for intranasal delivery and enhancement of antiepileptic activity.

Methods
The formulation was optimized based on entrapment efficiency, polydispersity index, particle size, zeta potential, and in vitro release analysis. The therapeutic efficacy of OXC-NP was assessed in an epileptic rat model and compared to intranasal OXC and oral OXC.

Results
The optimized OXC-NPs with chitosan exhibited particle size, zeta potential, and entrapment efficiency of 189 nm, + 31.4 mV ± 2.5 and 97.6% ± 0.14, respectively. The release of OXC was prolonged, reaching 47.1% after 6 h and 55% after 24 h. Enhanced antiepileptic activity of OXC-NP was manifested as decreased seizure score and prolonged survival. Halting of hippocampal TNF-α and IL-6 together with upregulated IL-10 could explain its anti-inflammatory mechanisms.

Conclusions
Intranasal OXC-NP-loaded in situ gel represents a promising formulation for enhanced antiepileptic potential achieved at low drug concentrations.
How Can We Measure Alcohol Outlet Density Around Schools? A Comparison Between Two Buffer-Based Methods
Authors: Martín-Turrero Irene , Sureda Xisca , Escobar Francisco , Bilal Usama , Berasaluce Maitane , Valiente Roberto 
Published: June 2023

AbstractMeasuring the density of alcohol outlets around schools is a critical step towards understanding the drivers of drinking among adolescents. Different methodologies have been used in the literature for this purpose, but the implications of using one methodology or another have not been clearly assessed. Our aim was to compare different methods to measure alcohol outlet density and highlight under which characteristics of the environment might be best using each approach. We used Geographic Information Systems to geolocate schools (n = 576) and alcohol outlets (n = 21,732) in Madrid. We defined the density of alcohol outlets as the number of establishments within an area of 400 m around schools measured using two buffering methods: crow flies’ and street network distances. We evaluated the agreement between both methods visually and through regression models, including street connectivity, population density, and density of recreational venues as predictors of disagreement. The density of alcohol outlets around schools was higher using crow flies’ distances compared to street network distances. The differences between methodologies were wider in areas of higher density of outlets, especially in the downtown areas, where there are higher population density and street connectivity. Our results suggest that the spatial characteristics and morphology of the study area (e.g., street connectivity and population density) should be considered when deciding the methodology to be used to measure alcohol outlet density. Future studies should explore the implications of different exposure measures in their association with drinking prevalence and consumption patterns among different geographical contexts.
Chest CT features of COVID-19 in vaccinated versus unvaccinated patients: use of CT severity score and outcome analysis
Authors: Masci Giorgio Maria , Izzo Antonella , Bonito Giacomo , Marchitelli Livia , Guiducci Elisa , Ciaglia Simone , Lucchese Sonia , Corso Laura , Valenti Alessandra , Malzone Lucia , Pasculli Patrizia , Ciardi Maria Rosa , La Torre Giuseppe , Galardo Gioacchino , Alessandri Francesco , Vullo Francesco , Manganaro Lucia , Iafrate Franco , Catalano Carlo , Ricci Paolo 
Published: June 2023

Abstract
Objectives
To evaluate the impact of vaccination on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and moreover on coronavirus disease 2019 (COVID-19) pneumonia, by assessing the extent of lung disease using the CT severity score (CTSS).

Methods
Between September 2021 and February 2022, SARS-CoV-2 positive patients who underwent chest CT were retrospectively enrolled. Anamnestic and clinical data, including vaccination status, were obtained. All CT scans were evaluated by two readers using the CTSS, based on a 25-point scale. Univariate and multivariate logistic regression analyses were performed to evaluate the associations between CTSS and clinical or demographic variables. An outcome analysis was used to differentiate clinical outcome between vaccinated and unvaccinated patients.

Results
Of the 1040 patients (537 males, 503 females; median age 58 years), 678 (65.2%) were vaccinated and 362 (34.8%) unvaccinated. Vaccinated patients showed significantly lower CTSS compared to unvaccinated patients (p < 0.001), also when patients without lung involvement (CTSS = 0) were excluded (p < 0.001). Older age, male gender and lower number of doses administered were associated with higher CTSS, however, in the multivariate analysis, vaccination status resulted to be the variable with the strongest association with CTSS. Clinical outcomes were significantly worse in unvaccinated patients, including higher number of ICU admissions and higher mortality rates.

Conclusions
Lung involvement during COVID-19 was significantly less severe in vaccinated patients compared with unvaccinated patients, who also showed worse clinical outcomes. Vaccination status was the strongest variable associated to the severity of COVID-related, more than age, gender, and number of doses administered.
Reasonable Doubt, Robust Evidential Probability and the Unknown
Authors: Jellema Hylke 
Published: June 2023

AbstractMost legal evidence scholars agree that proof of guilt beyond a reasonable doubt requires the belief that the defendant probably committed the alleged acts. However, they also agree that this is not a sufficient condition, as this belief may be unreasonable. I focus on two popular proposals for additional conditions: (i) that the degree of belief should be robust and (ii) that it should be reasonable given the available evidence (should be an evidential probability). Both criteria face difficulties regarding their meaning and utility. I propose an interpretation which overcomes these difficulties and which combines the two conditions into a single criterion on which both conditions are about the possibility of overlooked, exculpatory information. Proof of guilt beyond a reasonable doubt requires that we are sufficiently certain that we did not miss such information for the sake of achieving accurate beliefs and a just error distribution. How certain we can be that we did not miss anything relevant depends on our higher-order evidence. One important type of higher-order evidence is whether the hypotheses under consideration are sufficiently detailed. This point leads to a novel way of combining the Bayesian and explanation-based accounts of rational legal proof.
A new workflow of the on-line 1.5-T MR-guided adaptive radiation therapy
Authors: Uno Takashi , Tsuneda Masato , Abe Kota , Fujita Yukio , Harada Rintaro , Saito Makoto , Kanazawa Aki , Kodate Asuka , Abe Yukinao , Ikeda Yohei , Nemoto Miho Watanabe , Yokota Hajime 
Published: June 2023

Abstract
Purpose
The aim of this study was to develop a new workflow for 1.5-T magnetic resonance (MR)-guided on-line adaptive radiation therapy (MRgART) and assess its feasibility in achieving dose constraints.

Materials and methods
We retrospectively evaluated the clinical data of patients who underwent on-line adaptive radiation therapy using a 1.5-T MR linear accelerator (MR-Linac). The workflow in MRgART was established by reviewing the disease site, number of fractions, and re-planning procedures. Five cases of prostate cancer were selected to evaluate the feasibility of the new workflow with respect to achieving dose constraints.

Results
Between December 2021 and September 2022, 50 consecutive patients underwent MRgART using a 1.5-T MR-Linac. Of these, 20 had prostate cancer, 10 had hepatocellular carcinoma, 6 had pancreatic cancer, 5 had lymph node oligo-metastasis, 3 had renal cancer, 3 had bone metastasis, 2 had liver metastasis from colon cancer, and 1 had a mediastinal tumor. Among a total of 247 fractions, 235 (95%) were adapt-to-shape (ATS)-based re-planning. The median ATS re-planning time in all 50 cases was 17 min. In the feasibility study, all dose constraint sets were met in all 5 patients by ATS re-planning. Conversely, a total of 14 dose constraints in 5 patients could not be achieved by virtual plan without using adaptive re-planning. These dose constraints included the minimum dose received by the highest irradiated volume of 1 cc in the planning target volume and the maximum dose of the rectal/bladder wall.

Conclusion
A new workflow of 1.5-T MRgART was established and found to be feasible. Our evaluation of the dose constraint achievement demonstrated the effectiveness of the workflow.
Navigating ecological security research over the last 30 years: a scoping review
Authors: Zhu Benhui , Hashimoto Shizuka , Cushman Samuel A. 
Published: June 2023

AbstractIntensification of human activities is pushing our use of ecosystems beyond thresholds of resiliency. Given the accelerating global crisis of ecological sustainability, there has been enormous growth in research related to ecological security. However, differences in opinions on ecological security have hindered understanding and effective applications of this concept. To understand the development of research on ecological security, we reviewed its achievements and limitations over the past 30 years from three dimensions: definition, evaluation method, and approach to identify measures to improve the ecological security level. We used the Web of Science search engine to retrieve peer-reviewed journal articles published from 1990 to 2021 containing the keywords “ecological security” or “ecological safety”. There are three main ethical perspectives among the definitions of ecological security: nature-centric, human-centric, and eclectic; the human-centric view, which focuses on human well-being, is predominant in the field. Most studies employed the following three evaluation methods: quantitative comparison, composite indicators, and spatial analysis. However, the results of ecological security analyses were difficult to compare. Three main approaches (causality, correlation, and landscape) were used to identify the drivers of ecological security and propose measures for ensuring or improving ecological security. Owing to the complexity and heterogeneity of ecosystems, universally effective measures to ensure ecological security rarely exist. For the definition and evaluation of ecological security, a broader, non-anthropocentric perspective that incorporates the intrinsic value of non-humans in the context of cost–benefit, security–efficiency evaluations is essential. When proposing evaluation methods, the comparability of evaluation results should be given priority. To improve ecological security level, identifying the key drivers and/or potential optimal patterns of ecological security may be a promising solution.