bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors for cannabis use disorders and cannabis psychosis in Japan: Second report of a survey on cannabis‐related health problems among community cannabis users using social networking services
Authors: Masataka Yuji , Sugiyama Takeshi , Akahoshi Yoshiyuki , Matsumoto Toshihiko 
Published: December 2022

AbstractAimTo determine the risk factors for cannabis use disorders and cannabis psychosis in Japan based on a 2021 online survey among Japanese users of social network services.MethodsThe 3142 respondents who had used cannabis within the preceding year were categorized into two groups based on the development of cannabis use disorder and/or cannabis psychosis. Analyses were performed to determine these conditions' risk factors.ResultsMultivariate analysis revealed that factors significantly associated with cannabis use disorders were “cannabis‐use initiation at a young age” (p = 0.004, OR: 0.951, 95% CI [0.920–0.984]), “family history of mental health problems” (p < 0.001, OR: 1.988, 95% CI [1.545–2.556]), “psychiatric disorders preceding cannabis use” (p = 0.039, OR: 1.672, 95% CI [1.026–2.722]), and “use of cannabis products other than dry flower” (p < 0.001, OR: 2.725, 95% CI [1.844–4.026]). Factors significantly associated with cannabis psychosis were “cannabis‐use initiation at a young age” (p = 0.011, OR: 0.888, 95% CI [0.811–0.973]) and “family history of mental health problems” (p = 0.002, OR: 2.531, 95% CI [1.400–4. 576]).ConclusionRisk factors for problematic cannabis use were cannabis initiation at a young age, pre‐cannabis psychiatric disorders, family history of mental health problems, and the use of cannabis products other than dry flower. However, the causal relationship among these factors remains ambivalent.
A conceptual density functional theory approach to substituent effects in fluorescence processes: The case of naphthalimide derivatives
Authors: Piedras Alejandro , Carmona‐Espíndola Javier , Arroyo Rubén , Gázquez José L. 
Published: December 2022

AbstractThe theoretical framework of conceptual density functional theory is applied to the study of molecular excitations by considering that the differences between the ground and excited state electronic densities may be treated as if they were the consequence of intramolecular charge transfer processes. Through this approach, it is found that the hardness is directly related with the absorption and emission energies, and that the dual descriptor provides a description of the regions of the molecule where charge is added or removed, that in its condensed form leads to an estimation of the effective charge involved in the excitation. All this chemically significative information is then used to analyze the effects of the substituent in the fluorescence of naphthalimide derivatives.
Radio interface protocols and radio resource management procedures for 5G new radio non‐terrestrial networks
Authors: Määttänen Helka‐Liina , Sedin Jonas , Parolari Sergio , Karlsson Robert S. 
Published: December 2022

SummaryIn Release 17, 3GPP introduced adaptations and enhancements to the 5G new radio (NR) specification to support non‐terrestrial networks (NTNs) operation. The main challenges were due to long propagation delays, especially in GEO deployments, and the movement of the satellites in LEO deployments. In this paper, we give an overview of the protocol adaptations to support NTNs. The main user plane protocol adaptations include changes to random access and hybrid automatic repeat request to due long propagation delays. The control plane protocol adaptations include a variety of mobility related enhancements for user equipment.
Multi‐Compartmentalized Cellulose Macrobead Catalysts for In Situ Organic Reaction in Aqueous Media
Authors: Park Daehwan , Osuji Chinedum O. , Kim Jin Woong 
Published: December 2022

AbstractThis study reports a promising approach to fabricate bacterial cellulose (BC)‐based macrobead catalysts with improved catalytic activities and recyclability for organic reactions in aqueous media. To this end, the consecutive extrusion and gelation of BC precursor fluids is conducted using a combined micronozzle device to compartmentalize the resulting BC macrobeads in a programmed manner. The use of BCs laden with Au and Pd nanoparticles (NPs), and Fe3O4 NPs led to the production of catalytically and magnetically compartmentalized BC macrobeads, respectively. Through the model reduction reaction of 4‐nitrophenol to 4‐aminophenol using NaBH4, it is finally demonstrated that the BC macrobead catalysts not only enhance catalytic activities while exhibiting high reaction yields (>99%) in aqueous media, but also repeatedly retrieve the products with ease in response to the applied magnetic field, enabling the establishment of a useful green catalyst platform.
A CFD‐based analysis of dynamic induction techniques for wind farm control applications
Authors: Croce Alessandro , Cacciola Stefano , Montero Montenegro Mariana , Stipa Sebastiano , Praticó Roberto 
Published: December 2022

SummaryRecently, dynamic induction control is gaining the interest of the wind energy community as a promising strategy to increase the overall wind farm power production. Such a technique is based on a dynamic variation of the upstream rotor thrust, generated through a suitable blade pitch motion, to promote a faster wake recovery. Notwithstanding some promising results already published, the knowledge of the physical mechanism, connecting dynamic induction to the increased in‐wake velocity, was not yet exploited to enhance control effectiveness. This paper, through a computational fluid dynamics procedure based on large eddy simulations coupled with actuator line models, provides a description of the working principles of this control from a fluid dynamics standpoint. The analyses show that the faster recovery is strictly connected to the ability of the blade tip vortices to roll up and sucking energy from the outer flow. Exploiting such knowledge, a novel control strategy, which improves the vortex roll up mechanism, is proposed and analyzed. The new control proved more effective than standard techniques especially for very low turbine spacing.
RETRACTED ARTICLE: Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Authors: El-Rashidy Nora , ElSayed Nesma E. , El-Ghamry Amir , Talaat Fatma M. 
Published: December 2022

AbstractGestational diabetes mellitus (GDM) is one of the pregnancy complications that poses a significant risk on mothers and babies as well. GDM usually diagnosed at 22–26 of gestation. However, the early prediction is desirable as it may contribute to decrease the risk. The continuous monitoring for mother’s vital signs helps in predicting any deterioration during pregnancy. The originality of this paper is to provide comprehensive framework for pregnancy women monitoring. The proposed Data Replacement and Prediction Framework consists of three layers which are: (i) IoT Layer, (ii) Fog Layer, and (iii) Cloud Layer. The first layer used IOT sensors to aggregate vital sings from pregnancies using invasive and noninvasive sensors. Then the vital signs transmitted to fog nodes to processed and finally stored in the cloud layer. The main contribution in this paper is located in the fog layer producing GDM module to implement two influential tasks which are: (i) Data Finding Methodology (DFM), and (ii) Explainable Prediction Algorithm (EPM) using DNN. First, the DFM is used to replace the unused data to free the cache space for the new incoming data items. The cache replacement is very important in the case of healthcare system as the incoming vital signs are frequent and must be replaced continuously. Second, the EPM is used to predict the incidence of GDM that may occur in the second trimester of the pregnancy. To evaluate our model, we extract data of 16,354 pregnancy women from medical information mart for intensive care (MIMIC III) benchmark dataset. For each woman, vital signs, demographic data and laboratory tests was aggregated. The results of the prediction model superior the state of the art (ACC = 0.957, AUC = 0.942). Regarding to explainability, we utilized Shapley additive explanation framework to provide local and global explanation for the developed models. Overall, the proposed framework is medically intuitive, allow the early prediction of GDM with cost effective solution.
On volume preserving almost Anosov flows
Authors: Bruin Henk 
Published: December 2022

AbstractThe purpose of this paper is to establish limit laws for volume preserving almost Anosov maps of $${{\mathbb {T}}}^2$$

T

2

flows on 3-three manifolds having a transversally neutral periodic orbit of cubic saddle type. In the process, we derive estimates for the Dulac maps for neutral saddles in planar vector fields.
Construction and validation of a novel signature based on epithelial-mesenchymal transition–related genes to predict prognosis and immunotherapy response in hepatocellular carcinoma by comprehensive analysis of the tumor microenvironment
Authors: Gao Biao , Wang Yafei , Lu Shichun 
Published: December 2022

Abstract
Immunotherapy has yielded encouraging results in the treatment of advanced hepatocellular carcinoma (HCC). However, the relationship between epithelial-mesenchymal transition (EMT) and immunotherapy for HCC has not been adequately explained. In this study, we comprehensively analyzed a bulk RNA sequence dataset of 365 HCC patients in The Cancer Genome Atlas (TCGA) dataset. Subsequently, we constructed a prognostic signature based on 6 EMT-related genes and divided 365 HCC patients into high- and low-risk groups. The predictive efficacy of the signature was well validated in different clinical subgroups and in two independent external datasets. We further explored the relationship between prognostic signature and immunotherapy response in terms of immune cell infiltration, somatic mutations, tumor mutation burden (TMB), microsatellite instability (MSI), immune checkpoint–associated gene expression, single-nucleotide variants (SNV) neoantigens, cancer testicular antigens (CTA) scores, and tumor immune dysfunction and exclusion (TIDE) scores. We validated the predictive efficacy of prognostic signature for immunotherapy response using external independent immunotherapy data. Real-time quantitative polymerase chain reaction (qRT-PCR) was used to validate EMT-related gene overexpression in HCC tissue samples. Prognostic signature was an independent risk factor affecting the prognosis of HCC patients and has shown superiority in predicting patient survival compared to other clinical factors. Compared with the low-risk group, the proportion of Activated_CD4_T_cell, Type_2_T_helper_cel, and macrophages were higher in the tumor microenvironment of HCC patients in the high-risk group, while the Activated_CD8_T_cell and CD56bright_natural_killer_cell proportions were lower. The prognostic signature was positively correlated with TMB scores, MSI scores, SNV neoantigens scores, expression levels of immune checkpoint–related genes, and TIDE scores, and patients in the high-risk group were more suitable for immunotherapy. qRT-PCR confirms overexpression of 6 EMT-related genes in HCC tissues for the construction of prognostic signature. Our novel prognostic signature can effectively predict the prognosis and immunotherapy response of HCC patients. In the future, it will be an effective tool for physicians to screen suitable immunotherapy populations and improve response rates and overall survival (OS).
Effects of heating rate and temperature on product distribution of poly-lactic acid and poly-3-hydroxybutyrate-co-3-hydroxyhexanoate
Authors: Shao Zhuze , Kumagai Shogo , Kameda Tomohito , Saito Yuko , Yoshioka Toshiaki 
Published: December 2022

AbstractIn this study, poly-lactic acid (PLA) and poly-3-hydroxybutyrate-co-3-hydroxyhexanoate (PHBH) were pyrolyzed at various temperatures (300, 350, 400, 500, 600, and 700 °C) and heating rates (5, 10, 20, 30, and 40 °C min−1) using a pyrolysis–gas chromatograph/mass spectrometer (Py–GC/MS). The results revealed that the main pyrolysis products of PLA were acetaldehyde, lactide (including meso-lactide and d-, l-lactide), and oligomers. Crotonic acid and its oligomers accounted for most of the PHBH pyrolyzates. The pyrolysis temperature significantly correlated with the product distribution, but the heating rate had a small effect on the product distribution. Lactide and crotonic acid were two kinds of high-value chemicals, and their highest yields were obtained at 400 and 600 °C with 29.7 and 72.6 area %, respectively. Secondary reactions could not be neglected at 700 °C, and acetaldehyde and crotonic acid decreased to 65.0 and 69.6 area %, respectively. These results imply that pyrolyzate selectivity can be controlled by temperature management during pyrolysis.
How Mössbauer spectroscopy can be of value to industry to select extraterrestrial objects for natural resources
Authors: Gałazka-Friedman Jolanta , Jakubowska Martyna , Bogusz Patrycja , Brzózka Katarzyna , Grabias Agnieszka , Idczak Rafał , Konieczny Robert , Szumiata Tadeusz , Woźniak Marek , Maslan Miroslav , Karwowski Łukasz 
Published: December 2022

AbstractSpace agencies are working on the project of capturing asteroids which contain natural resources valuable for industry. Based on studies of meteorites samples it was determined that the most useful source of raw materials for this purpose could be parent bodies of ordinary chondrites of type H. The identification of the type of ordinary chondrites with the use of a classical method (determination of the Fa/Fs ratio (fayalite versus ferrosilite) by electron microprobe measurements) cannot be performed on the surface of asteroids due to technical reasons. It may, however, be done based on Mössbauer measurements followed by the application of the 4M method. The name of the method – 4M, comes from four words: Meteorites, Mössbauer spectroscopy, Multidimensional discriminant analysis and Mahalanobis distance. Following the success of Mössbauer spectroscopy in the mission on Mars, there are suggestions to use the same method for the investigation of the surface of asteroids. In our experimental study, in which five Mössbauer laboratories took part, we assessed the effectiveness and reliability of the 4M method by comparison of the results obtained by Mössbauer studies of ordinary chondrites of type H, L and LL. Details of the study and problems related to the effectiveness of the 4M method are discussed.
Measurement of Protein Synthesis Rate in Rat by [11C]Leucine PET Imaging: Application to the TgF344-AD Model of Alzheimer’s Disease
Authors: Bochicchio D. , Christie L. , Lawrence C. B. , Herholz K. , Parker C. A. , Hinz R. , Boutin H. 
Published: December 2022

AbstractLong-term memory requires stable protein synthesis and is altered in Alzheimer’s disease (AD). This study aimed to implement a method to measure the cerebral protein synthesis rate (PSR) with [11C]leucine PET in vivo in rats and evaluate potential PSR alterations longitudinally (6, 12 and 18 months old) in the TgF344-AD rat model of AD. Wistar, wild-type (WT) and TgF344-AD rats (TG) were scanned for 60 min with [11C]leucine. Arterial blood activity was monitored online and with discrete whole blood and plasma samples by γ-counting in Wistar rats, WT (n = 4) and TG (n = 5). Unlabelled amino acids were measured in plasma. The sensitivity of [11C]leucine PET to measure alterations in PSR was assessed in Wistar rats by injection of PSR inhibitor anisomycin before PET acquisition. Anisomycin administration significantly reduced the net uptake rate constant (Kcplx) of [11C]leucine and PSR, proving the suitability of the method. For the longitudinal study, averaged population-based input functions were used to calculate PSR. We found a significant genotype effect on PSR (decrease in TG vs WT) only in the globus pallidus. This study suggests that [11C]leucine PET is sensitive enough to measure brain PSR in rat but that cross-sectional design with individual input function should be preferred.
Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring
Authors: Hofeditz Lennart , Clausen Sünje , Rieß Alexander , Mirbabaie Milad , Stieglitz Stefan 
Published: December 2022

AbstractAssuming that potential biases of Artificial Intelligence (AI)-based systems can be identified and controlled for (e.g., by providing high quality training data), employing such systems to augment human resource (HR)-decision makers in candidate selection provides an opportunity to make selection processes more objective. However, as the final hiring decision is likely to remain with humans, prevalent human biases could still cause discrimination. This work investigates the impact of an AI-based system’s candidate recommendations on humans’ hiring decisions and how this relation could be moderated by an Explainable AI (XAI) approach. We used a self-developed platform and conducted an online experiment with 194 participants. Our quantitative and qualitative findings suggest that the recommendations of an AI-based system can reduce discrimination against older and female candidates but appear to cause fewer selections of foreign-race candidates. Contrary to our expectations, the same XAI approach moderated these effects differently depending on the context.
Laser-Structured Si and PLGA Inhibit the Neuro2a Differentiation in Mono- and Co-Culture with Glia
Authors: Angelaki Despoina , Kavatzikidou Paraskevi , Fotakis Costas , Stratakis Emmanuel , Ranella Anthi 
Published: December 2022

Abstract
Background:
The first step towards a successful neural tissue engineering therapy is the development of an appropriate scaffold and the in vitro study of the cellular response onto it.

Methods:
Here, we fabricated nano- and micro- patterned Si surfaces via direct ultrafast laser irradiation, as well as their replicas in the biodegradable poly(lactide-co-glycolide), in order to use them as culture substrates for neuronal cells. The differentiation of neuro2a cells on the Si platforms and their replicas was studied both in a mono-culture and in a co-culture with glial cells (Schwann—SW10).

Results:
It was found that the substrate’s roughness inhibits the differentiation of the neuronal cells even in the presence of the differentiation medium, and the higher the roughness is, the more the differentiation gets limited.

Conclusion:
Our results highlight the importance of the substrate’s topography for the controlled growth and differentiation of the neuronal cells and their further study via protein screening methods could shed light on the factors that lead to limited differentiation; thus, contributing to the long standing request for culture substrates that induce cells to differentiate.
COVID-19 Governance in the Event Sector: A German Case Study
Authors: Schönefeld Malte , Schütte Patricia M. , Schulte Yannic , Fiedrich Frank 
Published: December 2022

AbstractThe article reflects on the stop-and-go procedures of re-opening the event sector under pandemic circumstances in a case study for difficult political and administrative governance, confusing regulations and systemic irritation. The focus lies on the addressees of restricting regulations, i.e. event industry and in particular event organizers who have to deal with requirements from different event stakeholders. It is our aim to trace their strategies and identified margins of manoeuvre in order to re-enable events under inconvenient surrounding conditions. In times of COVID-19, major events are under general suspicion as enablers for “super spreading” or “mass contagion”. One of the major business sectors in Germany—the event sector—was among the very first that was forced to shut down and among the very last, that could re-open again. This has not only economic but also social impacts: events as social settings and contexts fulfil important societal functions. They enable social exchange, cultural innovation, and political participation and provide socio-psychological relief. The contribution of events to these elementary societal functions was strongly limited in the pandemic. Although event approving authorities and event organizers in collaboration with their service providers work intensely to re-open events under hygienically safe conditions, lastingly convincing re-opening concepts have not yet been identified. The federal system in Germany, the diversity of applicable regulations, expected measures and outcomes, the dynamics of the situation, and resulting short-term changes in legal conditions lead to a variety of concepts and measures, which differ depending on location, event, persons involved, etc.
A New Preparation Method for 3D Bio-composite Filament Manufacturing: a Study on the Effects of Ball Milling on the Cohesion/Adhesion of an Agave tequilana Bagasse/PLA Pellet Mixture
Authors: Salignon Mathias , Gray Simon , Rose Timothy , Encinas-Oropesa Adriana 
Published: December 2022

AbstractThis study created a composite polymer for 3D printing from agave by-product using mechanical alloying process. The cold milling technique used by the ball mill is a standard procedure to homogenize metallic mixtures. This paper reports results from a series of laboratory tests to create a homogeneous mixture that could be extruded into a printable filament mixture of agave bagasse fibres and PLA pellets by using the kinetic energy of a ball mill. PLA and agave bagasse mixtures in this study were ground several times using this principle; steel and ceramic balls were used to grind them. The results of the study showed that this principle can be effective on a polymer-based mixture; indeed, an adhesion between the pellets and the agave bagasse fibres was obtained. The results showed the different parameters that influence the mixture quality as the milling time, the ball material, the number of balls, the mixture concentration and the rotational speed. Optical and ESEM/EDX analyses have confirmed our expectations about cohesion between fibres pulverized in powder and pellet adhesion, where powder accumulation on all the surfaces was detected. The absence of powder penetration in the pellets allowed us to explain the losses obtained during the process and to find new solutions to reduce them. Proof-of-concept parts were 3D printed with agave bagasse/PLA filaments. Their printed quality can be compared to that of commercial filaments. These results offer new perspectives to reuse agricultural by-products to create composite filament with a chemical-free manufacturing process.