bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Alternative Recommendation for Design Eccentricity by Consideration of Uncoupled Frequency Ratio
Authors: Akyürek Osman , Ulutaş Hakan 
Published: August 2024

Abstract

Civil structures are prone to dynamic loadings such as strong winds or ground excitations where torsion becomes an ongoing issue. This arises from a lack of coincidence of the center of mass (CM) and rigidity (CR), known as eccentricity. Seismic design codes often introduce two types of eccentricity: inherent (geometric) and accidental. To account for structural or ground motion uncertainties, an assumption-based solution is provided by many code provisions, which considers the accidental eccentricity as a percentage (5% or 10%) of the building length perpendicular to the direction of exposed ground motion. In this study, as an alternative way to the code design parameters, a new design eccentricity formula that considers the frequency ratio (torsional frequency/translation frequency) and an effective radius of gyration to account for torsional irregularity is considered. For the extended validation of the proposed method, eighteen model buildings with six different floor plans were chosen, representing low, medium-height, and high-rise buildings. Each floor plan had model buildings with three, seven, and twelve stories. The buildings were subjected to selected bidirectional earthquake ground motions and had time history analyses performed. The results of the proposed method were compared to code provision methods, obtained using equivalent lateral force procedures, and also to those obtained utilizing the time history analysis results. It was shown that the proposed method was more effective in estimating the impact of torsional eccentricity and provided a better understanding of its impact on structural dynamic characteristics.
Characterization of droplet bag-stamen breakup under shear effect
Authors: Gao Jian , Ji Tianxiang , Zhou Xiangjun , Xu Nian , Liu Zilong , Chu Huaqiang 
Published: August 2024

Abstract

We conducted an experimental study of droplet breakup under shear effect at different Weg and Wed conditions, and observed and measured the morphology of droplet bag-stamen breakup which represents a case where bag and stamen structures occur simultaneously during droplet fragmentation under shear effect, the deformation pattern, and the size distribution of its sub-droplets by the continuous jet method. Through the observation of the morphology, two bag-stamen breakup variants with different manifestations under shear effect were named; the empirical formulas for predicting the deformation of droplets affected by Weg in shear flow were summarized; the sub-droplet size distributions of droplets after breakup in shear flow were statistically analyzed, and the size distributions of the fragment at Wed = 20 basically conformed to the log-normal unimodal fit, and with the increase of Weg, the single peak size distribution of the fragment was found to be very similar to the single peak fit of Weg. With the increase of Weg, the single-peak structure showed a tendency of weakening and then strengthening, and at the same time, the single-peak position moved to the direction of increasing sub-droplet size.
DLKN:Enhanced Lightweight Image Super-Resolution with Dynamic Large Kernel Network
Authors: Liu YaTing , Lan ChengDong , Feng Wanjian 
Published: August 2024

Abstract

Convolutional Neural Networks (CNNs) are constrained in adaptively capturing information due to the use of fixed-size kernels. Although they provide a wide receptive field and achieve competitive performance with fewer parameters by using decomposed large kernels, they lack adaptability. Therefore, we propose the Dynamic Large Kernel Network (DLKN) for lightweight image super-resolution. Specifically, we design a basic convolutional block of feature aggregation groups, akin to the transformer architecture. It comprises a dynamic large kernel attention block and a local feature enhancement block that can adaptively utilize information. In our dynamic large kernel attention block, we decompose the large kernel convolution into kernels with different sizes and expansion rates. We then fuse their information for weight selection, dynamically adjusting the proportion of information from different receptive fields. The local feature enhancement block significantly improves local feature extraction with low parameter counts. It encourages interactions between local spatial features by decomposing the convolution into horizontally and vertically cascading kernels. Experimental results on benchmark datasets demonstrate that our proposed model achieves excellent performance in lightweight and performance-oriented super-resolution tasks. It successfully balances the relationship between performance and model complexity. The code is available at https://github.com/LyTinGiu/DLKN_SR.
JAK/STAT as therapeutic signaling pathway in leukemia: a systematic review on in vitro inhibitors
Authors: Karimi Zahed , Shahvari Samira Zakeri , Ghasemi Katayoon , Faridpour Amir Abbas , Baradaran Mohammad Amin , Satarzadeh Mohammad 
Published: August 2024

Abstract

Object Janus kinases (JAKs), signal transducer and activator of transcription proteins (STATs) is a main signaling pathway in the immune system, autoimmune disease and in many malignancies such as leukemia. Limiting this signaling pathway has so far been investigated in the treatment of some diseases such as lymphoma, and in this systematic review, we will investigate the role of this type in leukemia. Method This systematic review was written based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria and the principle of non-bias was respected. All the articles from 2014–2024 were extracted from Web of Science, PubMed and Scopus databases. We extracted the extracting inhibitors, related immunity elements, JAK/STAT kind, side signaling pathway. Results Three authors searched the database, after screening full texts, 17 articles were included. 15 inhibitory drugs for the JAK/STAT pathway were extracted in studies, which inhibit this signaling pathway in vitro and in cultured human leukemic cells. The most signaling pathways in leukemia were limited to STAT 5 and STAT 3, which were inhibited by Thymoquinone, Ritanserin, Dactocilib and Ruxolitinib. On the other hand, leukemic cells act exclusively through the JAK 2 pathway, which was specifically inhibited by Ruxolitinib and AG490. Increased apoptosis of leukemic cells and decreased cell survival was the result of monotherapy and multitherapy of these inhibitors in the studies available to us. Conclusion Inhibition of JAK/STAT pathway is associated with the reduction of leukemic cell growth and apoptosis of these types of cells, which seems to be a great therapeutic potential for clinical studies in all types of leukemia. We suggest that future studies investigate this type of treatment especially in children and evaluate our results.
The unfolded protein sensor IRE1a is essential for homeostatic dendritic cell maturation
Authors: Janssens Sophie , Bosteels Victor , Marechal Sandra , Cloots Eva , Heddegem Laurien Van , Tavernier Simon , Rennen Sofie , De Nolf Clint , Amstelveen Seraja , Maelfait Jonathan , Martens Liesbet , De Velde Evelien Van , Fayazpour Farzaneh , Deswarte Kim , Saelens Wouter , Boon Louis , Duyse Julie Van , Isterdael Gert Van , Guillas Isabelle , Saeys Yvan , Lambrecht Bart , Mestdagh Pieter , Goff Wilfried Le 
Published: August 2024

Abstract

The continuous engulfment of apoptotic cells initiates a homeostatic maturation program in conventional type I dendritic cells (cDC1s), hallmarked by the activation of the transcription factor LXRb, which mediates cholesterol efflux and dampens interferon stimulated gene expression. cDC1s are characterized by a high basal activation of the unfolded protein response (UPR) sensor IRE1, without concomitant induction of a proper UPR gene signature, a finding that has puzzled the field. Here we show that in absence of IRE1, the homeostatic maturation of cDC1s is blocked, while homeostatic maturation of cDC2s remains unaffected. IRE1 activation is strictly dependent on apoptotic cell engulfment and cholesterol influx, explaining its cDC1 subset specific activity. Stimulation of IRE1 endonuclease activity in cDC1s leads to a Regulated IRE1 Dependent Decay (RIDD) response, targeting miRNAs rather than mRNAs. This causes the degradation of miRNA-92a, which targets the cholesterol efflux transporter Abcg1. Loss of IRE1 leads to defects in cholesterol efflux in mature cDC1s and concomitant cell death, while cDC2s do not show any defects. Blocking miRNA synthesis or enforcing cholesterol efflux by treatment with reconstituted high-density lipoproteins rescues cDC1s from cell death. These data highlight the central role of IRE1 as a sensor of cholesterol influx in the ER, extending IRE1’s function beyond its canonical role in protein folding. Furthermore, they underscore the tight control of cholesterol metabolism during cDC1 maturation, uncovering a second pathway to coordinate cholesterol efflux that acts in parallel to LXRb.
Thermal pretreatment of swine waste to improve biodegradability in the anaerobic digestion process. Effect on the physicochemical characteristics of the substrate
Authors: Chamorro Marley Vanegas , Echeverría Arwill Alberto Hernández , Rodado Karol Julieth Valdivieso , Morris Felipe Romani , Bautista María Mercedes Cely , Gutiérrez Ricardo Stand , Quintero Miguel Celis 
Published: August 2024

In anaerobic digestion (AD) processes, hydrolysis is considered the limiting stage in the degradation of solid wastes. Such is the case of swine manure digestion, which due to the complex physical and chemical structure of the lignocellulosic material that composes it, an energy wastage has been observed in terms of methane production. Among the strategies used to improve the hydrolysis stage, it is possible to mention the thermal pretreatment of the substrate, which can significantly improve the biodegradability of the material used as raw material in AD. In this study, the effect of temperature (60–177 °C) and exposure time (30–60 min) on the physicochemical properties of the substrate such as pH, volatile organic acids (VOAs), total inorganic carbonates (TIC), volatile solids (SV), total solids (ST), soluble chemical oxygen demand (CODs) and biochemical methane potential (BMP) were determined. The temperature factor had a higher level of significance compared to the exposure time on the parameters of pH, VOAs, and TIC before and after the biogas generation process. However, the effect was different for CODs, where time was more significant than treatment temperature. As for the parameters of total and volatile solids content (ST and SV), the factors evaluated (temperature and exposure time) did not show significant effect. Also, the pretreatments showed an increase in biochemical methane potential, outperforming the untreated substrate by up to 70.4 % (121.74vs.71.44 mLCH4 gVS-1). The best combination of heating temperature and operating time was 120 °C and 45 min, which promoted the hydrolysis step that was reflected in an increase in CODs and improvement in methane production by 42 % over the untreated substrate
Kernel-based framework for improved prediction of discharge coefficient in vertically supported cylindrical weirs
Authors: Roushangar Kiyoumars , Mehrizad Amir 
Published: August 2024

ABSTRACT
The present study represents the first use of kernel-based models to predict discharge coefficient (Cd) for two distinct types of cylindrical weirs, featuring vertical support and a 30-degree upstream ramp. For this purpose, kernel-based methods, including support vector machine, Gaussian process regression (GPR), Kernel extreme learning machine, and Kernel ridge regression, were used, as they offer notable advantages compared to other machine learning models, such as flexibility in handling various data patterns, robustness against overfitting, and effectiveness in high-dimensional data scenarios. The results indicated that the GPR model, with statistical metrics of R = 0.967, Nash–Sutcliffe efficiency (NSE) = 0.935, and root-mean-square error (RMSE) = 0.027, demonstrates superior accuracy in modeling the overall dataset collected from two distinct types of weirs. Through a conducted sensitivity analysis, it was identified that the upstream Froude number is pivotal in accurately predicting the Cd of a cylindrical weir. The modeling conducted for two distinct weir types revealed that a cylindrical weir with vertical support exhibits enhanced predictive capabilities (R = 0.997, NSE = 0.994, and RMSE = 0.007) for Cd. The findings indicate that the introduction of the upstream ramp alters hydraulic conditions, resulting in reduced modeling accuracy (R = 0.760, NSE = 0.529, and RMSE = 0.060).
Spatial prioritization of groundwater resources in mountain region of Nepal: a GIS and AHP integrated framework
Authors: Poudel Ayush , Chaudhary Rakesh Kumar , Suwal Naresh , Mishra Ravi Kumar 
Published: August 2024

ABSTRACT

Climate change and anthropogenic activities pose major challenges to water resource management in water-scarce mountain regions. Managing and monitoring groundwater effectively is crucial in mitigating these challenges. Understanding groundwater resources and their distribution is necessary for effective management. The present study covers Doramba rural municipality of Nepal. It employed the analytic hierarchy process (AHP) as a multi-criteria decision-making (MCDM) tool integrated with remote sensing (RS) data and geospatial techniques to identify groundwater potential zones (GPZs). The parameters for analysis include drainage density, slope, rainfall, lineament density, land use/land cover (LULC), soil, geology, curvature, roughness, topographic wetness index, and topographic position index. These 11 thematic layers of the study area were prioritized using Satty's AHP method for the delineation of GPZs. The results classified the study area into very high, high, moderate, low, and very low groundwater potential classes, covering 26.71, 27.98, 46.61, 34.71, and 4.89 km2, respectively. The delineated map accuracy was confirmed with a 70.7% prediction rate based on the spatial distribution of 56 springs in the study area. The study's results can be applied to the sustainable management of groundwater resources in the study region and other areas with similar hydrogeological conditions.
Spatial and seasonal assessment of surface water quality for domestic use in a semi-arid area of the Upper Kebir Sub-basin, NE Algeria
Authors: Allia Zineb , Lalaoui Meryem , Chebbah Mohamed 
Published: August 2024

ABSTRACT

The present study was conducted out in the Upper Kebir Sub-basin [North East (NE) Algeria] aiming to evaluate the status and spatial–seasonal variability of water quality for domestic purposes using hydrogeochemical parameters and water quality indices. Surface water samples were collected from 27 selected sites, in 2020–2021 during both the wet and dry seasons and were analysed for 22 parameters. The findings were compared with WHO standards and the water quality indices were calculated. The analysis revealed that the basin was mainly polluted and showed significant seasonal and spatial variations in water quality, considerably influenced by climatic conditions (surface runoff) and human activities (urban sewage and agricultural activities). The results reveal significant spatio-temporal fluctuations and highlight areas likely to be affected by anthropogenic activities.
Full-scale study on high-rate low-temperature anaerobic digestion of agro-food wastewater: process performances and microbial community
Authors: Paulo Lara M. , Liu Yu-Chen , Castilla-Archilla Juan , Ramiro-Garcia Javier , Hughes Dermot , Mahony Thérèse , Holohan B. Conall , Wilmes Paul , O'Flaherty Vincent 
Published: August 2024

ABSTRACT

The fast-growing global population has led to a substantial increase in food production, which generates large volumes of wastewater during the process. Despite most industrial wastewater being discharged at lower ambient temperatures (&lt;20 °C), majority of the high-rate anaerobic reactors are operated at mesophilic temperatures (&gt;30 °C). High-rate low-temperature anaerobic digestion (LtAD) has proven successful in treating industrial wastewater both at laboratory and pilot scales, boasting efficient organic removal and biogas production. In this study, we demonstrated the feasibility of two full-scale high-rate LtAD bioreactors treating meat processing and dairy wastewater, and the microbial communities in both reactors were examined. Both reactors exhibited rapid start-up, achieving considerable chemical oxygen demand (COD) removal efficiencies (total COD removal &gt;80%) and generating high-quality biogas (CH4% in biogas &gt;75%). Long-term operations (6–12 months) underscored the robustness of LtAD bioreactors even during winter periods (average temperature &lt;12 °C), as evidenced by sustained high COD removal rates (total COD removal &gt;80%). The stable performance was underpinned by a resilient microbial community comprising active acetoclastic methanogens, hydrolytic, and fermentative bacteria. These findings underscore the feasibility of high-rate low-temperature anaerobic wastewater treatment, offering promising solutions to the zero-emission wastewater treatment challenge.
Estar con Raúl
Authors: Koopmann Silvia Ayelen 
Published: August 2024

En el siguiente escrito busco describir etnográficamente, a través de fotografías, la gruta de un joven asesinado en el Barrio Los Cortaderos de la Ciudad de Córdoba. Haré especial énfasis en cómo se ponen en marcha, dentro de esta territorialización, determinadas estrategias de conmemoración, donde la fotografía cumple un rol especial para nombrar y poner rostro a la persona que se recuerda. Entendiendo así, que existe cierta correlación entre los procesos de patrimonialización popular de la muerte con la agudización de los contextos de violencias en los que se inscriben (Flores Martos, 2014; Blair, 2007; entre otros). En este marco, me pregunto qué lugar ocupa la imagen fotográfica en estos procesos de construcción de memorias (Da Silva Catela, 1999). Para dar cuenta de esto compartiré la experiencia etnográfica de la gruta del “Gordo” Raúl. Cabe destacar que este trabajo se inscribe en el marco de mi tesis doctoral en Ciencias Antropológicas denominada: Muertes violentas y desapariciones en sectores populares de Córdoba. Una antropología sobre fotografías y memorias en altares, grutas y pancartas. Dirigida por la Dra. Natalia Bermúdez.
Patient and Provider Experiences With Compassionate Care in Virtual Physiatry: Qualitative Study
Authors: Wasilewski Marina B , Vijayakumar Abirami , Szigeti Zara , Mayo Amanda , Desveaux Laura , Shaw James , Hitzig Sander L , Simpson Robert 
Published: August 2024

Background
Telemedicine in the realm of rehabilitation includes the remote delivery of rehabilitation services using communication technologies (eg, telephone, emails, and video). The widespread application of virtual care grants a suitable time to explore the intersection of compassion and telemedicine, especially due to the impact of COVID-19 and how it greatly influenced the delivery of health care universally.

Objective
The purpose of this study was to explore how compassionate care is understood and experienced by physiatrists and patients engaged in telemedicine.

Methods
We used a qualitative descriptive approach to conduct interviews with patients and physiatrists between June 2021 and March 2022. Patients were recruited across Canada from social media and from a single hospital network in Toronto, Ontario. Physiatrists were recruited across Canada through social media and the Canadian Association for Physical Medicine and Rehabilitation (CAPM&R) email listserve. Interviews were recorded and transcribed. Data were analyzed thematically.

Results
A total of 19 participants were interviewed—8 physiatrists and 11 patients. Two themes capturing physiatrists’ and patients’ experiences with delivering and receiving compassionate care, especially in the context of virtual care were identified: (1) compassionate care is inherently rooted in health care providers’ inner intentions and are, therefore, expressed as caring behaviors and (2) virtual elements impact the delivery and receipt of compassionate care.

Conclusions
Compassionate care stemmed from physiatrists’ caring attitudes which then manifest as caring behaviors. In turn, these caring attitudes and behaviors enable individualized care and the establishment of a safe space for patients. Moreover, the virtual care modality both positively and negatively influenced how compassion is enacted by physiatrists and received by patients. Notably, there was large ambiguity around the norms and etiquette surrounding virtual care. Nonetheless, the flexibility and person-centeredness of virtual care cause it to be useful in health care settings.
A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Feasibility Development Study
Authors: Kim Ho Heon , Jeong Won Chan , Pi Kyungran , Lee Angela Soeun , Kim Min Soo , Kim Hye Jin , Kim Jae Hong 
Published: August 2024

Background
Breast implants, including textured variants, have been widely used in aesthetic and reconstructive mammoplasty. However, the textured type, which is one of the shell texture types of breast implants, has been identified as a possible etiologic factor for lymphoma, specifically breast implant–associated anaplastic large cell lymphoma (BIA-ALCL). Identifying the shell texture type of the implant is critical to diagnosing BIA-ALCL. However, distinguishing the shell texture type can be difficult due to the loss of human memory and medical history. An alternative approach is to use ultrasonography, but this method also has limitations in quantitative assessment.

Objective
This study aims to determine the feasibility of using a deep learning model to classify the shell texture type of breast implants and make robust predictions from ultrasonography images from heterogeneous sources.

Methods
A total of 19,502 breast implant images were retrospectively collected from heterogeneous sources, including images captured from both Canon and GE devices, images of ruptured implants, and images without implants, as well as publicly available images. The Canon images were trained using ResNet-50. The model’s performance on the Canon dataset was evaluated using stratified 5-fold cross-validation. Additionally, external validation was conducted using the GE and publicly available datasets. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (PRAUC) were calculated based on the contribution of the pixels with Gradient-weighted Class Activation Mapping (Grad-CAM). To identify the significant pixels for classification, we masked the pixels that contributed less than 10%, up to a maximum of 100%. To assess the model’s robustness to uncertainty, Shannon entropy was calculated for 4 image groups: Canon, GE, ruptured implants, and without implants.

Results
The deep learning model achieved an average AUROC of 0.98 and a PRAUC of 0.88 in the Canon dataset. The model achieved an AUROC of 0.985 and a PRAUC of 0.748 for images captured with GE devices. Additionally, the model predicted an AUROC of 0.909 and a PRAUC of 0.958 for the publicly available dataset. This model maintained the PRAUC values for quantitative validation when masking up to 90% of the least-contributing pixels and the remnant pixels in breast shell layers. Furthermore, the prediction uncertainty increased in the following order: Canon (0.066), GE (0072), ruptured implants (0.371), and no implants (0.777).

Conclusions
We have demonstrated the feasibility of using deep learning to predict the shell texture type of breast implants. This approach quantifies the shell texture types of breast implants, supporting the first step in the diagnosis of BIA-ALCL.