bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discussions About Binge Eating and Type 2 Diabetes in a Facebook Group: A Qualitative Analysis
Authors: Lindgreen Pil , Willaing Ingrid , Clausen Loa , Ismail Khalida , Kjærulff Emilie Mølholm , Cleal Bryan 
Published: June 2024

ABSTRACTObjectiveBinge eating has adverse health effects and may be 10 times more common in people with type 2 diabetes (T2D) than in the general population. Still, binge eating is not consistently addressed in diabetes treatment. People with T2D and binge eating may, therefore, seek guidance on the topic on social media. The study objective was to explore discussions about binge eating among members of a T2D‐specific Facebook group.MethodInteractions among members of the Facebook group were observed over 8 months and supplemented by keyword searches within group content. The data were imported into NVivo12 and analyzed using Interpretive Description.ResultsThe overarching theme described how group members exchanged guidance concerning co‐existing T2D and binge eating based on personal experiences while trying to resolve co‐members' misapprehensions regarding binge eating. Two subthemes were generated, describing frequently discussed topics relating to binge eating triggers and inhibitors. Triggers were confusion about the health impacts of carbohydrates and encounters with unsupportive clinicians, while inhibitors included the possibility of speaking openly about binge eating with peers and hunger cues being suppressed by glucagon‐like peptide 1 receptor agonists.DiscussionSocial media may constitute an important source of support for people with T2D and binge eating, as the topic is typically not addressed in routine care. Besides being aware of the extent of binge eating in people with T2D and the health risks involved, clinicians should keep in mind that people with both conditions may seek information on social media that can affect diabetes management.
Seismic fragility analysis of girder bridges under mainshock‐aftershock sequences based on input‐output hidden Markov model
Authors: Chen Libo , Chen Liangpeng , Zhou Jianhong 
Published: June 2024

AbstractCurrent seismic design codes for bridge structures do not account for the influence of aftershock sequences, which, to some extent, overestimate the seismic performance for bridges subjected to mainshock‐aftershock (MS‐AS) scenarios. To address the great need for ground motion sequences tailored to specific research sites for fragility analysis, this study proposes a method for generating artificial MS‐AS ground motion sequences based on the evolutional bimodal Kanai–Tajimi model and the Epidemic–Type Aftershock Sequence model. We establish a framework for MS‐AS fragility analysis using an input–output Hidden Markov Model (IOHMM), where the damage states (DS) of bridge piers are considered unobservable and are inferred statistically through damage indices in an unsupervised manner. Model parameters are trained using intensity measure (IM) sequences and damage index (DI) sequences. Fragility curves for both the mainshock and state‐dependent aftershocks considering multiple aftershocks are formulated based on the initial state probability and state transition probabilities of the proposed IOHMM. The fragility analysis results reveal that as the initial seismic damage level increases, the probability of aftershocks causing higher damage levels in the structure also increases, highlighting the significant impact of aftershocks on structural damage increments. Furthermore, we extend the proposed model to a bivariate seismic intensity measure and develop fragility surfaces. The proposed framework provides a novel approach and insights for tackling seismic fragility under multiple aftershocks.
Shake table testing and finite element modeling of a modular prefabricated concrete bridge‐like specimen accounting for geometry imperfections and additional damping
Authors: Katsamakas Antonios A. , Vassiliou Michalis F. , Mouzakis Charalampos 
Published: June 2024

AbstractThis paper presents the shake table testing and finite element (FE) modeling of a modular prefabricated concrete bridge‐like specimen. The specimen comprised four equal‐height cylindrical reinforced concrete (RC) columns capped with an RC slab. The structural connections were non‐monolithic. Hence, controlled relative motion of the members, including rocking (uplift) of the piers, was allowed. The columns were connected to the slab with stiff tendons that provided positive post‐uplift stiffness. The specimen was subjected to 184 triaxial shake table tests, so that a statistical validation of numerical models can be performed. Subsequently, a detailed three‐dimensional FE model of the bridge was developed. The objectives of the present study were to: i) investigate the shake table response of a modular bridge with positive post‐uplift stiffness under multiple ground motions, ii) develop an FE model of the proposed structural system, iii) investigate the influence of geometrical imperfections on rocking bridges, and iv) evaluate the efficiency of using additional dissipative rebars. After being subjected to 184 shake table tests, the specimen showed zero damage, moderate displacements and tendon forces (TFs), low slab torsion, and zero residual displacements. The shake table tests were practically repeatable. The proposed FE model accurately captured the experimental results. Geometrical imperfections heavily affect the response of negative stiffness systems. However, they have a marginal influence on positive stiffness systems. When comparing systems with equivalent uplift resistance and post‐uplift stiffness, the use of additional dissipative rebars results in lower slab torsion and TFs, provided that the rebars do not fracture.
Hardware softwareSoCco‐design analysis and implementation ofMIMO‐OFDMfor4G/5G/6G eNodeBapplications
Authors: Dessai Sanket N. , Patidar Hemant 
Published: June 2024

AbstractWith the emerging challenges for the data rate requirements of 5G/6G applications and reusing the 4G infrastructure for 5G, it is necessary to understand the System‐on‐Chip (SoC) platform‐based embedded co‐design and implementation of the programmable and reconfigurable MIMO‐OFDM system. For both uplink and downlink data transmissions, these applications require a larger data throughput as well as reduced bit error rates, latency, and increased spectral efficiency. This work describes the co‐design and development of hardware and software for the MIMO‐OFDM algorithms for 5G and 6G eNodeBs. An efficient design through computer architecture based on pipeline and parallelization using systolic and CORDIC has been applied for the IP development of the sub‐components of the MIMO‐OFDM systems. A Zynq platform with computing resources including PS, Mali GPU‐400, and PL is utilized to increase the data rate for MIMO‐OFDM system architecture co‐design and implementation. The architecture approach used in this work enabled a data rate of 10–50 Gbps and beyond reaching Tbps based on the system's programmability and reconfigurability with an efficient SoC platform design. The design platform provides a programming feature such as MIMO‐OFDM, OFDM, and MIMO without OFDM through software programming for the range of applications of the desired data rates. With 64‐QAM modulation, the three channels' observed performance in the predicted multipath channel velocity of 15 km/h for pedestrians, vehicles, and AWGN is seen in simulation. To reach the application clock frequencies, the device's PLL (ZUI7EG) upscales and downscales clock frequencies from 750 to 1600 MHz using a configurable register. When the system is configured to operate as MIMO‐OFDM or OFDM in order to get an execution throughput of 300 msec and a data throughput ranging from 71 Gbps to 1749 Gbps using 2 × 2/4 × 4 configurations. The device scalability depends on at present devices of advanced embedded reconfigurable architecture platform. Massive MIMO and multi‐user MIMO will be used in the future to increase throughput and data rates. Additionally, future work will focus on creating a MIMO‐OFDM hardware‐software embedded architecture and testbed to enhance implementation and verification of the vehicle and pedestrian.
DRL‐based customised resource allocation for sub‐slices in 6G network slicing
Authors: D Meignanamoorthi , V Vetriselvi 
Published: June 2024

Abstract6G network services demand significant computer resources. Network slicing offers a potential solution by enabling customized services on shared infrastructure. However, dynamic service needs in heterogeneous environments pose challenges to resource provisioning. 6G applications like extended reality and connected vehicles require service differentiation for optimal quality of experience (QoE). Granular resource allocation within slices is a complex issue. To address the complexity of QoE services in dynamic slicing, a deep reinforcement learning (DRL) approach called customized sub‐slicing is proposed. This approach involves splitting access, transport, and core slices into sub‐slices to handle service differentiation among 6G applications. The focus is on creating sub‐slices and dynamically scaling slices for intelligent resource allocation and reallocation based on QoS requirements for each sub‐slice. The problem is formulated as an integer linear programming (ILP) optimization problem with real‐world constraints. To effectively allocate sub‐slices and dynamically scale resources, the Advantage Actor‐Critic (A2C)‐based Network Sub‐slice Allocation and Optimization (NS‐AO) algorithm is proposed. Experimental results demonstrate that the proposed algorithm outperforms the state of the art in terms of training stability, learning time, sub‐slice acceptance rate, and resilience to topology changes.
A spatial‐temporal graph gated transformer for traffic forecasting
Authors: Bouchemoukha Haroun , Zennir Mohamed Nadjib , Alioua Ahmed 
Published: June 2024

AbstractAccurate traffic forecasting is more necessary than ever for transportation departments, especially given its significant role in traffic planning, management, and control. However, most existing methods struggle to address complex spatial correlations on road networks, nonlinear temporal dynamics, and difficult long‐term prediction. This article proposes a novel spatial temporal graph gated transformer (STGGT) to overcome these challenges. The suggested model differs from Google's transformer because it uses a hybrid architecture that integrates graph convolutional networks (GCNs), attention, and gated recurrent units (GRUs) instead of solely relying on attention. Specifically, STGGT uses GCNs to extract spatial dependencies, utilizes attention and GRUs to extract temporal dependencies, and handle long‐term prediction. Experiments indicate that STGGT outperforms the state‐of‐the‐art baseline models on two real‐world traffic datasets of 9%–40%. The proposed model offers a promising solution for accurate traffic forecasting, simultaneously addressing the challenges of complex spatial correlations, nonlinear temporal dynamics, and long‐term prediction.
Healthcare practitioners' views of self‐harm management practices in older adults in Ireland: A qualitative study
Authors: Troya M. Isabela , Lonergan Caoimhe , Cassidy Eugene , Griffin Eve , Lovejoy Sally Ann , Mughal Faraz , Russell Vincent , Arensman Ella 
Published: June 2024

AbstractObjectivesTo explore healthcare practitioners' views on management practices of self‐harm in older adults.MethodsSemi‐structured interviews were conducted with healthcare practitioners, including consultant psychiatrists, general practitioners, clinical psychologists, psychotherapists, clinical nurse specialists and social workers. Purposeful sampling was used to recruit participants in the Republic of Ireland ensuring diverse perspectives of healthcare practitioners were included. Healthcare practitioners were recruited advertising via professional and clinical research networks, social media, and snowballing methods. Interviews were audio‐recorded, transcribed verbatim, and analysed using reflexive thematic analysis.ResultsWe conducted interviews with 20 healthcare practitioners from April to July 2023. Three main themes were generated: first, a perceived greater risk of suicide, and increased awareness of complexity in older adults' self‐harm presentations. Second, integrated care as an avenue for improving the management of self‐harm in older adults. Third, the importance of safety planning in risk assessments of older adults.ConclusionsHealthcare practitioners viewed self‐harm in older adults as complex, challenging, and associated with high suicide risk, approaching patients with care and caution. The need for integrated support and improved collaboration between relevant healthcare practitioners was identified. Suggestions were made for primary care having a lead role in identifying and managing older adults after self‐harm. Increased mental health promotion and awareness of mental health and self‐harm in this age group would help address current stigma and shame.
NOTCH1 fusions in pediatric T‐cell lymphoblastic lymphoma: A high‐risk subgroup with CCL17 (TARC) levels as diagnostic biomarker
Authors: Kroeze Emma , Kleisman Michelle M. , Kester Lennart A. , Scheijde‐Vermeulen Marijn A. , Sonneveld Edwin , Buijs‐Gladdines Jessica G. C. , Hagleitner Melanie M. , Meyer‐Wentrup Friederike A. G. , Veening Margreet A. , Beishuizen Auke , Meijerink Jules P. P. , Loeffen Jan L. C. , Kuiper Roland P. 
Published: June 2024

AbstractTwenty percent of children with T‐cell lymphoblastic lymphoma (T‐LBL) will relapse and have an extremely poor outcome. Currently, we can identify a genetically low‐risk subgroup in pediatric T‐LBL, yet these high‐risk patients who need intensified or alternative treatment options remain undetected. Therefore, there is an urgent need to recognize these high‐risk T‐LBL patients through identification of molecular characteristics and biomarkers. By using RNA sequencing which was performed in 29/49 T‐LBL patients who were diagnosed in the Princess Maxima Center for Pediatric Oncology between 2018 and 2023, we discovered a previously unknown high‐risk biological subgroup of children with T‐LBL. This subgroup is characterized by NOTCH1 gene fusions, found in 21% of our T‐LBL cohort (6/29). All patients presented with a large mediastinal mass, pleural/pericardial effusions, and absence of blasts in the bone marrow, blood, and central nervous system. Blood CCL17 (C‐C Motif Chemokine Ligand 17, TARC) levels were measured at diagnosis in 26/29 patients, and all six patients with NOTCH1 gene fusions patients exclusively expressed highly elevated blood CCL17 levels, defining a novel and previously not known clinically relevant biomarker for T‐cell lymphoblastic lymphoma. Four out of these six patients relapsed during therapy, a fifth developed a therapy‐related acute myeloid leukemia during maintenance therapy. These data indicate that T‐LBL patients with a NOTCH1 fusion have a high risk of relapse which can be easily identified using a blood CCL17 screening at diagnosis. Further molecular characterization through NOTCH1 gene fusion analysis offers these patients the opportunity for treatment intensification or new treatment strategies.
Efficacy and safety of bendamustine‐containing bridging therapy in R/R LBCL patients receiving CD19 CAR T‐cells
Authors: Iacoboni Gloria , Sánchez‐Salinas Mario A. , Rejeski Kai , Martín‐López Ana Á. , Kwon Mi , Navarro Víctor , Jalowiec Katarzyna A. , Hernani Rafael , Reguera‐Ortega Juan L. , Gallur Laura , Blumenberg Viktoria , Herrero‐García María , Roddie Claire , Benzaquén Ana , Delgado‐Serrano Javier , Bailén Rebeca , Carpio Cecilia , Amat Paula , López‐Corral Lucia , Martín‐Martín Lourdes , Bastos Mariana , Subklewe Marion , O'Reilly Maeve , Barba Pere 
Published: June 2024

AbstractBridging therapy (BT) after leukapheresis is required in most relapsed/refractory (R/R) large B‐cell lymphoma (LBCL) patients receiving chimeric antigen receptor (CAR) T cells. Bendamustine‐containing regimens are a potential BT option. We aimed to assess if this agent had a negative impact on CAR‐T outcomes when it was administered as BT. We included R/R LBCL patients from six centers who received systemic BT after leukapheresis from February 2019 to September 2022; patients who only received steroids or had pre‐apheresis bendamustine exposure were excluded. Patients were divided into two BT groups, with and without bendamustine. Separate safety and efficacy analyses were carried out for axi‐cel and tisa‐cel. Of 243 patients who received BT, bendamustine (benda) was included in 62 (26%). There was a higher rate of BT progressors in the non‐benda group (62% vs. 45%, p = 0.02). Concerning CAR‐T efficacy, complete responses were comparable for benda versus non‐benda BT cohorts with axi‐cel (70% vs. 53%, p = 0.12) and tisa‐cel (44% vs. 36%, p = 0.70). Also, 12‐month progression‐free and overall survival were not significantly different between BT groups with axi‐cel (56% vs. 43% and 71% vs. 63%) and tisa‐cel (25% vs. 26% and 52% vs. 48%); there were no differences when BT response was considered. CAR T‐cell expansion for each construct was similar between BT groups. Regarding safety, CRS G ≥3 (6% vs. 6%, p = 0.79), ICANS G ≥3 (15% vs. 17%, p = 0.68), severe infections, and neutropenia post‐infusion were comparable among BT regimens. BT with bendamustine‐containing regimens is safe for patients requiring disease control during CAR T‐cell manufacturing.
Mathematical model for applying electromagnetic (EM) on a Carreau fluid in a tube: Stimulation to avoid sediment accumulation in oil tanks
Authors: Mekheimer Kh. S. , Abdelwahab A. M. , Ramadan Shaimaa F. , Bahnasy Amal 
Published: June 2024

AbstractThe purpose of this article is to study the effect of electromagnetic (EM) stimulation on the pipeline, which has an electrical and thermal effect in addition to the chemical reaction on the crude oil and makes a sinusoidal wave on the wall. Modeling the crude oil as Carreau fluid is done. EM stimulation is an effective and safe technology that can be used to improve fluid movement in a variety of industrial applications. The flow analysis by applying EM may avoid blocking the crude oil pipeline which leads to a loss of production and capital investment. The basic partial differential equations of momentum, temperature and concentration are reduced to a system of nonlinear partial differential equations, which is solved numerically by using the Rung–Kutta–Merson method with Newton iteration in a shooting and matching technique under the assumption of long wavelength and the effect of physical implanted parameters is represented through charts for velocity, temperature, and concentration and numerical application.
Exosomes in asthma: Underappreciated contributors to the pathogenesis and novel therapeutic tools
Authors: Kanannejad Zahra , Arab Samaneh , Soleimanian Saeede , Mazare Amirhossein , Kheshtchin Nasim 
Published: June 2024

AbstractObjectiveAsthma, a chronic inflammatory disease with diverse pathomechanisms, presents challenges in developing personalized diagnostic and therapeutic approaches. This review aims to provide a comprehensive overview of the role of exosomes, small extracellular vesicles, in asthma pathophysiology and explores their potential as diagnostic biomarkers and therapeutic tools.MethodsA literature search was conducted to identify recent studies investigating the involvement of exosomes in asthma. The retrieved articles were analyzed to extract relevant information on the role of exosomes in maintaining lung microenvironment homeostasis, regulating inflammatory responses, and their diagnostic and therapeutic potential for asthma.ResultsExosomes secreted by various cell types, have emerged as crucial mediators of intercellular communication in healthy and diseased conditions. Evidence suggest that exosomes play a significant role in maintaining lung microenvironment homeostasis and contribute to asthma pathogenesis by regulating inflammatory responses. Differential exosomal content between healthy individuals and asthmatics holds promise for the development of novel asthma biomarkers. Furthermore, exosomes secreted by immune and nonimmune cells, as well as those detected in biofluids, demonstrate potential in promoting or regulating immune responses, making them attractive candidates for designing new treatment strategies for inflammatory conditions such as asthma.ConclusionExosomes, with their ability to modulate immune responses and deliver therapeutic cargo, offer potential as targeted therapeutic tools in asthma management. Further research and clinical trials are required to fully understand the mechanisms underlying exosome‐mediated effects and translate these findings into effective diagnostic and therapeutic strategies for asthma patients.
Prognostic analysis of MDA5‐associated clinically amyopathic dermatomyositis with interstitial lung disease
Authors: Wang Wen , Sun Xiang , Xu Yan , Tan Wenfeng , Liu Ye , Zhou Jun 
Published: June 2024

AbstractObjectiveTo investigate the prognostic factors of patients with anti‐melanoma differentiation‐associated gene 5 (MDA5) positive clinically amyopathic dermatomyositis (CADM) and interstitial lung disease (ILD).MethodsA retrospective analysis was conducted on clinical data of 125 patients with anti‐MDA5 + CADM‐ILD collected from 10 branches in eastern China between December 2014 and December 2022. Prognostic factors were analyzed using χ2 test, Log‐rank test, COX and logistic regression analysis.ResultsIn this cohort, 125 anti‐MDA5 + CADM‐ILD patients exhibited a rapidly progressive interstitial lung disease (RPILD) incidence of 37.6%, and an overall mortality rate of 24.8%. One patient was lost to follow‐up. After diagnosis of RPILD, a mortality rate of 53.2% occurred in patients died within 3 months, and that of 5.6% appeared in those who survived for more than 3 months. Multiple factor analysis revealed that C‐reactive protein (CRP) ≥ 10 mg/L (p = 0.01) and recombinant human tripartite motif containing 21 (Ro52) (+) (p = 0.003) were associated with a higher risk of RPILD in anti‐MDA5 + CADM‐ILD patients; CRP ≥ 10 mg/L (p = 0.018) and the presence of RPILD (p = 0.003) were identified as the factors influencing survival time in these patients, while arthritis was the protective factor (p = 0.016).ConclusionPatients with anti‐MDA5 + CADM‐ILD will have a higher mortality rate, and the initial 3 months after diagnosis of RPILD is considered the risk window for the dismal prognosis. Patients with CRP ≥ 10 mg/L, Ro52 (+) and RPILD may be related to a shorter survival time, while patients complicated with arthritis may present with relatively mild conditions.