bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nephrotoxicity associated with aminoglycoside therapy in paediatrics: experiences from a leading referral hospital in Kenya
Authors: Nyaboke Emmah , Guantai Anastasia , Oluka Margaret , Mutai Beatrice , Godman Brian , Kurdi Amanj , Bennie Marion , Okumu Mitchel 
Published: September 2024

Abstract

Introduction
This study assessed the prevalence and risk factors of nephrotoxicity in paediatric patients receiving aminoglycoside therapy at the Kenyatta National Hospital (KNH) in Kenya.

Methods
Between July and September 2018, a prospective cohort study involving children receiving aminoglycoside treatment was carried out at KNH. Before beginning and after finishing the aminoglycoside therapy, the levels of serum creatinine were assessed. Descriptive statistics were used to describe the patients’ clinical and sociodemographic features. Associations between nephrotoxicity and maternal and paediatric variables were assessed using multivariable logistic regression.

Results
The final analysis comprised 195 children and the prevalence of nephrotoxicity was 10.3%. Neonates made up 28.7% (58/195) of the total and their risk of developing nephrotoxicity was 3.54 (95% CI 1.6–8.21) times higher than that of other children (P = 0.003). Neonates with low birth weight were 4.73 (95% CI: 1.8–12.5) times more likely to develop nephrotoxicity than those whose birth weight was &gt;2500 g (P = 0.002). Neonatal patients with sepsis had a 4.91 (95% CI: 2.07–11.62) times greater association with acute kidney injury than neonates receiving treatment for other illnesses (P = 0.001). Sixty-five percent (13/20) of children who developed nephrotoxicity were switched to cephalosporins.

Conclusions
Aminoglycosides were more nephrotoxic to asphyxiated, low-birth-weight neonates with sepsis. Routine monitoring of kidney function should be done within 72 h of starting aminoglycoside treatment in all neonates.
Amoebicidal activity of essential oils and essential oil-based microemulsions of Aloysia citrodora Ortega ex Pers., Cymbopogon winterianus Jowitt ex Bor, and Ocimum gratissimum L. against Acanthamoeba polyphaga trophozoites
Authors: Siqueira Ingrid Borges , de Oliveira Yrna Lorena Matos , Caron Braulio Otomar , Schmidt Denise , Silva Audrey Rouse Soares Tavares , Jain Sona , de Souza Jonatas dos Santos , Sarmento Victor Hugo Vitorino , Alves Suely Moraes , Rott Marilise Brittes , Correa Cristiane Bani , Scher Ricardo , Barbosa Ana Andrea Teixeira , Dolabella Silvio Santana 
Published: September 2024

Abstract

Aims
Evaluate the in vitro efficacy of the essential oils derived from Aloysia citrodora (Verbenaceae), Cymbopogon winterianus (Poaceae), and Ocimum gratissimum (Lamiaceae) against Acanthamoeba polyphaga trophozoites. Additionally, microemulsions formulated with these essential oils, along with their major components, were analyzed.

Methods and results
The prepared microemulsions were characterized using polarized light microscopy and rheological techniques. The amoebicidal activity was determined by measuring the inhibitory concentration (IC50). Flow cytometry was employed to detect membrane damage and alterations in trophozoites size. The results revealed transparent and thermodynamically stable microemulsions. The essential oil from O. gratissimum exhibited a lower IC50, with values of 280.66 and 47.28 µg ml−1 after 24 and 48 h, respectively. When microemulsions containing essential oils were tested, the IC50 values exhibited a reduction of over 80% after 24 h. Particularly, eugenol, a constituent of the O. gratissimum essential oil, displayed higher amoebicidal activity. The essential oils also caused damage to the cell membrane, resulting in the subsequent death of the trophozoites.

Conclusions
The EOs of A. citrodora, C. winterianus, and O. gratissimum and their microemulsions showed antiparasitic effect against A. polyphaga trophozoites, representing promising alternatives for the treatment of diseases caused by this protozoan.
Assessment of postmortem urine fentanyl detection by autopsy dipstick testing in accidental overdose deaths
Authors: Tsang Anson , Rodda Luke N 
Published: September 2024

Abstract
Accidental overdose cases continue to rise due to the opioid epidemic in the USA, namely, the widespread availability and use of fentanyl. Medical examiners and coroners across the country have been subsequently burdened, and with limited resources, some seek alternative triaging processes to identify overdoses. Point-of-care urine dipstick testing at autopsy is one such idea that may be used in various ways to instigate or negate the need for an autopsy or regular forensic toxicology laboratory testing. This study investigated the frequency and estimated quantitative fentanyl and norfentanyl concentrations in the postmortem urine of fentanyl-related accidental overdose deaths, as well as the effectiveness of commercially available point-of-care urine dipstick tests based on such concentrations. A total of 1550 fentanyl-related accidental overdose cases, where both the postmortem peripheral femoral blood and urine were tested, were reviewed. Of these, using sensitive liquid chromatography–tandem mass spectrometry (LC–MS-MS) laboratory testing, 82 cases (5%) had a positive fentanyl or norfentanyl detection in the blood, while fentanyl or norfentanyl remained undetected in the urine. Furthermore, a comparison of commercially available urine dipstick test cut-offs and authentic casework with estimated urine concentrations revealed that at a fentanyl/norfentanyl cut-off level of 5 ng/mL, 19% of these fentanyl-related accidental overdoses would result in a false negative, 24% at 10 ng/mL, 25% at 20 ng/mL, 51% at 50 ng/mL, and 61% at 100 ng/mL. The study found that the use of urine dipstick tests, as a decision-maker for the initiation of further comprehensive routine toxicology laboratory testing, or to support cause and manner of death determination, leads to both false-positive and false-negative predictions in fentanyl accidental overdoses.
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Authors: Chen Hualin , Wei Jianan , Huang Haisong , Yuan Yage , Wang Jiaxin 
Published: September 2024

Abstract
In the field of industrial production, machine failures not only negatively affect productivity and product quality, but also lead to safety accidents, so it is crucial to accurately diagnose machine failures in time and take appropriate measures. However, machines cannot operate with faults for extended periods, and the diversity of fault modes results in limited data collection, posing challenges to building accurate fault prediction models. Despite recent advancements, intelligent fault diagnosis methods based on traditional sampling and machine learning have shown notable progress. Nonetheless, these methods heavily rely on human expertise, making it challenging to extract comprehensive feature information. To address these challenges, numerous imbalance fault diagnosis methods based on generative adversarial networks (GANs) have emerged, GANs can generate realistic samples that conform to the distribution of the original data, showing promising results in diagnosing imbalances in critical components such as bearings and gears, despite their great potential, GAN methods also face challenges, including difficulties in training and generating abnormal samples. However, whether it is GAN-based resampling technology or traditional sampling technology, there are fewer reviews on noise-containing imbalance, intra- and inter-class dual imbalance, multi-class imbalance, time series imbalance and other problems in small samples, and there is a lack of a more comprehensive summary of the solutions to the above imbalance problems. Therefore, the purpose of this paper is to deeply explore the imbalance problems under various failure modes, and review and analyze the research methods and results based on GANs on this basis. By suggesting future research directions, this paper aims to provide guidance and reference for research in the field of industrial production maintenance.
Generative AI-powered architectural exterior conceptual design based on the design intent
Authors: Shi Mengnan , Seo JoonOh , Cha Seung Hyun , Xiao Bo , Chi Hung-Lin 
Published: September 2024

Abstract
In the architectural exterior design domain, design intent is usually expressed by textual design intent [e.g., client needs, architectural language (AL)] and non-verbal design intent (e.g., sketch). However, existing generative AI-based methods for automated architectural exterior conceptual design can only use the general image description as the prompt. Thus, despite its potential, existing generative image AI cannot produce appropriate design alternatives that meet various design requirements. Enabling automated architectural exterior conceptual design requires solving two problems: teaching the AI model to understand textual design intent and allowing generative AI to combine textual design intent with non-verbal design intent. The study aims to propose an automated architectural exterior conceptual design approach by incorporating domain-specific prompting strategies and sketch-to-image synthesis into fine-tuned generative image AI models. In the proposed approach, textual design intent annotations (including client needs and AL) are added to architectural images and general image description annotations. Web crawler and ChatGPT automatically extract design intent-related annotations from online sources for famous architectural works that are used as training images. The constructed dataset is then used to fine-tune a generative AI model [i.e., Stable Diffusion (SD)] via the Lora algorithm, teaching the AI model to understand textual design intent. Also, ControlNet is used to control the generation process of the SD model to enable the generative AI to reflect the design intent expressed by the sketches. The proposed approach is validated by comparing generated images from our approach with those from two existing models. The results show that the proposed method can successfully generate architectural exterior conceptual design images that fulfil the requirements based on the architectural design intent. The proposed approach is expected to streamline and facilitate time-consuming and demanding iterative processes during a conceptual design phase.
The impact of location, habitat, and climate on morphological variation in the Western Deermouse (Peromyscus sonoriensis: Rodentia)
Authors: Bingham-Byrne Rebecca Michelle , George Darren , Buttler Bruce 
Published: September 2024

Abstract
Peromyscus sonoriensis is a widespread species ranging from southern Texas to the Yukon, from the Mississippi to the Pacific. Because of this extensive range, there are substantial differences in morphology due to variation in temperature, precipitation, and habitat. We used 2 data sets (n = 4,840 and n = 20,175) to study morphological differences of their crania and appendages. Consistent with Allen’s rule (shorter appendages with colder temperature), both data sets show a strong, positive, correlation between tail length and the average January temperature. However, there was an equally strong, but negative, correlation between tail length and average July temperature. We observed similar results for feet and crania. Ear length had a significant negative correlation with July average temperature but no correlation with January average temperature. When we controlled for temperature, cranial and appendage length increased with latitude, which was opposite of what we expected. Furthermore, longitude had a strong impact as mice trapped further west had longer appendages. When divided into habitats, forest deer mice are more likely than prairie or desert deer mice to demonstrate morphological responses to differences in climate, location, and year trapped. Our results show that P. sonoriensis exhibit notable morphological variation linked to location, habitat, and climate.
Do Ethics Matter to Researchers? Introducing the Ethics References in Conflict Studies (ERICS) Dataset
Authors: Rodehau-Noack Johanna , Schwartz Stephanie , Broache M P 
Published: September 2024

Abstract
Research on conflict frequently employs data collection methods that involve interaction with human subjects. Given the ethical issues raised by engagement with human subjects, recent work has called on scholars to foreground consideration of ethics at all stages of the research process, from design to post-publication. However, whether researchers, editors, and reviewers treat ethics as if they matter is a separate, empirical question. To address this question, this research note introduces and describes the Ethics References in Conflict Studies (ERICS) dataset, which documents references to ethics from 2014 through 2021 in five leading Political Science journals that regularly publish conflict research involving human subjects. The ERICS dataset indicates that discussions of ethics are relatively infrequent and cursory, with only 34.57 percent of human subjects research articles incorporating any reference to ethics; this dataset also indicates that ethics are most frequently discussed in footnotes and endnotes and that a single sentence is the modal length of discussions of ethics in these journals. However, the ERICS dataset also indicates that ethics references have increased over time and that there is considerable variation between journals. This note concludes by proposing several possible uses of ERICS, including an analysis of factors such as author and journal characteristics that may influence engagement with ethics in published work.
Cytokinin-responsive RhRR1–RhSCL28 transcription factor module positively regulates petal size by promoting cell division in rose
Authors: Jin Weichan , Gong Feifei , Zhang Yuanfei , Wang Rui , Liu Huwei , Wei Yinghao , Tang Kaiyang , Jiang Yunhe , Gao Junping , Sun Xiaoming 
Published: September 2024

Abstract
Petal size, a crucial trait in the economically important ornamental rose (Rosa hybrida), is synergistically regulated by cell division and cell expansion. Cell division primarily occurs during the early development of petals. However, the molecular mechanism underlying the regulation of petal size is far from clear. In this study, we isolated the transcription factor gene RhSCL28, which is highly expressed at the early stage of rose petal development and is induced by cytokinin. Silencing RhSCL28 resulted in a reduced final petal size and reduced cell number in rose petals. Further analysis showed that RhSCL28 participates in the regulation of cell division by positively regulating the expression of the cyclin genes RhCYCA1;1 and RhCYCB1;2. To explore the potential mechanism for cytokinin-mediated regulation of RhSCL28 expression, we investigated the cytokinin response factor RhRR1 and determined that it positively regulates RhSCL28 expression. Like RhSCL28, silencing RhRR1 also resulted in smaller petals by decreasing cell number. Taken together, these results reveal that the RhRR1–RhSCL28 module positively regulates petal size by promoting cell division in rose.
Small states as unusual places of refuge: Luxembourg’s laboratory of reception practices
Authors: Lemaire Léa , Oesch Lucas 
Published: September 2024

Abstract
By focusing on the small state of Luxembourg, this article contributes to the production of knowledge on non-iconic places of refuge. It aims to advance the conceptualization of unusualness in refugee reception. Our research is based on interviews and observations in eleven reception facilities. The conceptual framework combines small state studies with the literature on the reception crisis in Europe. We show that Luxembourg is not in itself an unexpected place of refuge. However, we explore the process by which Luxembourg is ‘constructed’ as unusual. We argue that, in this process, three types of actors have played a key role: refugees, practitioners, and researchers. First, in absolute terms, few refugees are reaching Luxembourg, making it an unexpected destination of refuge. Moreover, most of the refugees we interviewed did not in the first instance intend to settle there. Secondly, many practitioners working in Luxembourg’s reception system consider that the reception of refugees is characterized by its newness. This narrative of newness in part underpins the idea that Luxembourg is an unusual place of refuge. Thirdly, Luxembourg is also an unusual place of refuge from the perspective of researchers. Scholarship on refugee reception in Luxembourg is almost non-existent. Finally, our study of the reception of refugees in Luxembourg reveals an unexpected and rather unique process: the search for the ‘good’ reception facility that would produce the ‘good’ citizen. As such, Luxembourg, as a small state, can be conceptualized as a laboratory of refugee reception practices which emphasizes the productive power of small states.
The significance of low titer serum cryptococcal antigen testing from 2017 to 2023 performed in a tertiary care center
Authors: Myint Thein , Wilson Jenna R , Bhatt Mahesh , Irwin Mark E , Ribes Julie A 
Published: September 2024

Abstract
Several false positive low serum cryptococcal antigen (SCrAg) reports by lateral flow assay (LFA) were identified in late 2016 at our tertiary care hospital. After the recall and correction of the problem in the reagent, we studied the significance of SCrAg LFA ≤ 1:10 from January 2017 to October 2023. Of 20 patients with 31 samples of SCrAg LFA ≤ 1:10, 14 patients (70%) were classified as true positives, four (20%) were indeterminate, and only two (10%) patients were false positives. If a new SCrAg LFA ≤ 1:10 is detected, it should be repeated, and additional workup should be pursued.
Vortex dynamics in various solar magnetic field configurations
Authors: Kannan Arjun , Yadav Nitin 
Published: September 2024

ABSTRACT
We investigate vortex dynamics in three magnetic regions, viz., Quiet Sun, Weak Plage, and Strong Plage, using realistic three-dimensional simulations from a comprehensive radiation-magnetohydrodynamics (MHD) code, MURaM. We find that the spatial extents and spatial distribution of vortices vary for different set-ups even though the photospheric turbulence responsible for generating vortices has similar profiles for all three regions. We investigate kinetic and magnetic swirling strength and find them consistent with the Alfvén wave propagation. Using a flux tube expansion model and linear MHD wave theory, we find that the deviation in kinetic swirling strength from the theoretically expected value is the highest for the Strong Plage, least for the Weak Plage, and intermediate for the Quiet Sun at chromospheric heights. It suggests that Weak Plage is the most favoured region for chromospheric swirls, though they are of smaller spatial extents than in Quiet Sun. We also conjecture that vortex interactions within a single flux tube in Strong Plage lead to an energy cascade from larger to smaller vortices that further result in much lower values of kinetic swirling strength than other regions. Fourier spectra of horizontal magnetic fields at 1 Mm height also show the steep cascade from large to smaller scales for Strong Plage. These findings indicate the potential of vortex-induced torsional Alfvén waves to travel higher in the atmosphere without damping for weaker magnetic regions such as the Quiet Sun, whereas vortices would result in dissipation and heating due to the vortex interactions in narrow flux tubes for the strongly magnetized regions such as Strong Plage.
The KALEIDOSCOPE survey: a new strong and weak gravitational lensing view of the massive galaxy cluster MACS J1423.8+2404
Authors: Patel Nency R , Jauzac Mathilde , Niemiec Anna , Lagattuta David , Mahler Guillaume , Beauchesne Benjamin , Edge Alastair , Ebeling Harald , Limousin Marceau 
Published: September 2024

ABSTRACT
We present a combined strong and weak gravitational-lensing analysis of the massive galaxy cluster MACS J1423.8+2404 ($z=0.545$, MACS J1423 hereafter), one of the most dynamically relaxed and massive cool-core clusters discovered in the MAssive Cluster Survey at $z\gt 0.5$. We combine high-resolution imaging from the Hubble Space Telescope (HST) in the F606W, F814W, and F160W pass-bands with spectroscopic observations taken as part of the KALEIDOSCOPE survey with the Multi-Unit Spectroscopic Explorer mounted on the Very Large Telescope. Our strong lensing analysis of the mass distribution in the cluster core is constrained by four multiple-image systems (17 individual images) within redshift range $1.779\lt z\lt 2.840$. Our weak lensing analysis of the cluster outskirts, confined to the HST field of view, is based on a background galaxy catalogue with a density of 57 gal arcmin$^{-2}$. We measure a projected mass of $M(R\lt 200$ kpc) = (1.6 $\pm$ 0.05) $\times$ 10$^{14}$ M$_{\rm \odot }$ from our strong lensing model, and a projected mass of $M(R\lt 640$ kpc) = (6.6 $\pm$ 0.6) $\times$ 10$^{14}$ M$_{\rm \odot }$ when combining with our the weak lensing constraints. Our analysis of the cluster mass distribution yields no evidence of substructures, confirming the dynamically relaxed state of MACS J1423. Our work sets the stage for future analysis of MACS J1423 in the upcoming Canadian Near-Infrared Imager and Stiltless Spectrograph Unbiased Cluster Survey for the JWST.
A stochastic approach to reconstructing the speed of light in cosmology
Authors: Zhang Cheng-Yu , Hong Wei , Wang Yu-Chen , Zhang Tong-Jie 
Published: September 2024

ABSTRACT
The varying speed of light (VSL) model describes how the speed of light in a vacuum changes with cosmological redshift. Despite numerous models, there is little observational evidence for this variation. While the speed of light can be accurately measured by physical means, cosmological methods are rarely used. Previous studies quantified the speed of light at specific redshifts using Gaussian processes and reconstructed the redshift-dependent function $c(z)$. It is crucial to quantify the speed of light across varying redshifts. We use the latest data on angular diameter distances $D_\mathrm{ A}(z)$ and Hubble parameters $H(z)$ from baryon acoustic oscillation and cosmic chronometer measurements in the redshift interval $z\in [0.07,1.965]$. The speed of light $c(z)$ is determined using Gaussian and deep Gaussian processes to reconstruct $H(z)$, $D_\mathrm{ A}(z)$, and $D^{\prime }_\mathrm{ A}(z)$. Furthermore, we conduct comparisons across three distinct models, encompassing two renowned VSL models. We get the result of the parameters constraints in the models (1) for the ‘c-c’ model, $c_0=29\,492.6 \pm ^{6.2}_{5.3} \mathrm{~km} \mathrm{~s}^{-1}$. (2) For the ‘c-cl’ model, $c_0=29\,665.5 \pm ^{11.2}_{11.4}\mathrm{~km} \mathrm{~s}^{-1}$ and $n=0.05535 \pm\, ^{0.00008}_{0.00007}$. (3) For the ‘c-CPL’ model, $c_0=29\,555.7 \pm ^{13.3}_{13.2} \mathrm{~km} \mathrm{~s}^{-1}$ and $n=-0.0607 \pm 0.0001$. Based on our findings, it may be inferred that Barrow’s classical VSL model is not a suitable fit for our data. In contrast, the widely recognized Chevallier–Polarski–Linder (CPL) VSL model, under some circumstances, as well as the universal ‘c is constant’ model, demonstrate a satisfactory ability to account for our findings.