bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gaussian Mixture Model-Based Classification of Corrosion Severity in Concrete Structures Using Ultrasonic Imaging
Authors: Mayakuntla Prasanna Kumar , Ganguli Abhijit , Smyl Danny 
Published: March 2023

AbstractCorrosion in reinforced concrete (RC) structures is associated with a reduction of the rebar diameter, loss of interfacial bond, cracking, and eventual spalling and probable collapse of the structure. The negative effects of corrosion on structural safety, durability, and longevity imposes significant costs on the national economy. Therefore, planned non-destructive testing (NDT) of concrete structures is essential to enhance the safety and economic sustainability of infrastructure. Previous work by the research group has established the capability of the ultrasonic Synthetic Aperture Focusing Technique (SAFT) as a tool for detection of rebar corrosion. This work extends the previous research towards application of statistical learning for ascertaining the corrosion severity through analysis of SAFT images of the rebar. Using features extracted from images, a Gaussian mixture model (GMM) is implemented to classify the severity of corrosion damage to the rebar. The results from the research positively demonstrate the potential of the proposed technique as an enabler for decisions pertaining to maintenance and timely repair of concrete infrastructural assets.
Exponential Lag Synchronization of Cohen–Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales
Authors: Kumar Vipin , Heiland Jan , Benner Peter 
Published: March 2023

AbstractIn this article, we investigate exponential lag synchronization results for the Cohen–Grossberg neural networks with discrete and distributed delays on an arbitrary time domain by applying feedback control. We formulate the problem by using the time scales theory so that the results can be applied to any uniform or non-uniform time domains. Also, we provide a comparison of results that shows that obtained results are unified and generalize the existing results. Mainly, we use the unified matrix-measure theory and Halanay inequality to establish these results. In the last section, we provide two simulated examples for different time domains to show the effectiveness and generality of the obtained analytical results.
A qualitative study of lived experiences and needs of advanced cancer patients in Malaysia: Gaps and steps forward
Authors: Yong Alene Sze Jing , Cheong Mark Wing Loong , Hamzah Ednin , Teoh Siew Li 
Published: March 2023

Abstract
Purpose
Due to the high burden of cancer-related suffering, it is paramount to understand the gaps in cancer care that lead to suffering. Advanced cancer patients have unmet needs and challenges that differ from those with early-stage cancer due to the rapid disease progression. By exploring advanced cancer patients' lived experiences and needs from the physical, psychological, social, and spiritual aspects, this study aims to identify gaps in the Malaysian health system and propose contextualised measures to improve cancer care.

Methods
Semi-structured, in-depth interviews were conducted to explore advanced cancer patients' lived experiences and needs from the physical, psychological, social, and spiritual aspects. The interviews were then transcribed and coded. Themes were developed from the codes using iterative thematic approach.

Results
The lived experiences and needs of nineteen patients converged into four major themes: disruption to daily lives, psychosocial and spiritual support system, information needs, and financial needs. This study described predominantly how cancer impacted patients’ lives and livelihood, how patients coped with their psychological conditions after diagnosis, the need for effective communication and trust in a multicultural society, and how finance affected access to and experience of cancer care.

Conclusion
Advanced cancer patients had different needs beyond receiving medical treatments. A concerted effort is required from clinicians, allied health professionals, social workers, support groups, and family members to understand and fulfil these needs.
Modelling of Droplet Capture in an Open-Cell Metal Foam at the Pore and Macroscopic Scales
Authors: de Carvalho Thiago P. , Hargreaves David M. , Morvan Hervé P. , Klingsporn Michael 
Published: March 2023

AbstractOpen-cell metal foams are often used in applications where particulate and/or droplet capture is important. Here a Computational Fluid Dynamics (CFD) modelling approach is described which models the metal foam at both the pore-scale and the macroscopic scale. At the pore-scale, the detailed internal geometry of the foam is included and the flow field and droplet tracking and capture is modelled explicitly. At this scale, a coefficient is found for each metal foam that relates the distance a droplet can freely travel through the foam to both the droplet diameter and the Darcian velocity in the porous medium. Then, at the macroscopic scale, the coefficient from the pore-scale droplet capture simulations is used in a novel stochastic particle extinction model. Here, the droplets travel through a porous zone and are removed from the model, the probability of which is determined by the coefficient from the pore-scale modelling. A test case is described in which the macroscopic model is verified against the pore-scale model with acceptable levels of accuracy.
Convergence of per capita ecological footprint among BRICS-T countries: evidence from Fourier unit root test
Authors: Bayraktar Yuksel , Koc Kenan , Toprak Metin , Ozyılmaz Ayfer , Olgun Mehmet Firat , Balsalobre-Lorente Daniel , Soylu Ozgur Bayram 
Published: March 2023

Abstract
In recent years there has been a great deal of research into environmental pollution using a variety of techniques in response to growing environmental concerns. Convergence analysis, one of these techniques, helps determine whether the developing countries will catch up with the rich countries in pollution using unit root tests. However, the vast majority of the research in the field has generally used conventional unit root tests. Since many economic series contain structural breaks, using unit root tests that account for structural breaks is essential for accurate prediction. More specifically, if the series has a fractional process, conventional unit root tests may erroneously conclude that the departure from linearity is permanent. Moreover, the existing literature mainly uses gas emissions, such as carbon dioxide, which represent pollution weakly. Therefore, we use per capita ecological footprint (EF hereafter) as a more comprehensive pollution indicator of environmental degradation. In this direction, the study aims to determine whether BRICS-T countries' EF converges to the average of the BRICS-T for the 1992–2017 period. Besides the ADF unit root test, we employed the Fourier ADF unit root test, which considers the structural breaks, and the Fractional Frequency Fourier ADF unit root test, which accounts for structural breaks by considering fractional values. Our results showed that EF converges in Russia and Turkey according to the conventional ADF test, in China and Russia according to the Fourier ADF test, and in Brazil and China according to the Fractional Fourier Frequency test.
Evaluation of radiation dose reduction in head CT using the half-dose method
Authors: Nakai Yoshitomo , Miyazaki Osamu , Kitamura Masayuki , Imai Rumi , Okamoto Reiko , Tsutsumi Yoshiyuki , Miyasaka Mikiko , Ogiwara Hideki , Miura Hiroshi , Yamada Kei , Nosaka Shunsuke 
Published: March 2023

Abstract
Purpose
The present study introduced the half-dose method (HDM), which halves the radiation dose for conventional head computed tomography (CT), for postoperative hydrocephalus and follow-up for craniosynostosis at a children’s hospital. This study aimed to evaluate the contribution of selective head CT scanning optimization towards the overall reduction of radiation exposure.

Materials and methods
We retrospectively assessed 1227 and 1352 head CT examinations acquired before and after the introduction of the HDM, respectively, in children aged 0–15 years. The radiation exposure was evaluated using the CT dose index volume (CTDI-vol), dose-length product (DLP), rate of HDM introduction, and effect of reducing in-hospital radiation dose before and after the introduction of the HDM. For an objective evaluation of the image quality, head CT scans acquired with HDM and full-dose method (FDM) were randomly selected, and the image noise standard deviation (SD) was measured for each scan. In addition, some HDM images were randomly selected and independently reviewed by two radiologists.

Results
The HDM was introduced in 27.9% of all head CTs. The mean CTDI-vol of all head CTs was 21.5 ± 6.9 mGy after the introduction, a 14.9% reduction. The mean DLP was 418.4 ± 152.9 mGy.cm after the introduction, a 17.2% reduction. Compared to the FDM images, the noise SD of the HDM ones worsened by almost 0.9; however, none of the images were difficult or impossible to evaluate.

Conclusion
The HDM yielded diagnostically acceptable images. In addition, a change in protocol for only two diseases successfully reduced the patients’ overall radiation exposure by approximately 15%. Introducing and optimizing the HDM for frequently performed target diseases will be useful in reducing the exposure dose for the hospital’s patient population.
Development and Design of the First Industrial Magnetohydrodynamic Slag-Cleaning Reactor From Execution and Analysis of Pilot Plant Tests Through Coupled CFD Simulations
Authors: Kalisch Michael , Friedrich Bernd , Reuter Markus A. 
Published: March 2023

AbstractThe future challenge for copper smelters is to increase metal yield by reducing copper losses and valorizing the slag as a marketable by-product. This can be achieved through further slag cleaning in a conventional submerged arc furnace (SAF) where remaining metallic oxides are reduced, and metal droplets have more settling time. Nevertheless, a significant amount of copper matte and metallic copper is still present as slight inclusions that cannot settle through the slag layer under simple gravity after SAF treatment. This work presents the development of a new industrial type of slag-cleaning concept, based on the magnetohydrodynamic (MHD) principle, that can be coupled downstream of conventional slag-cleaning technology (e.g., electric reduction furnace). The cleaning efficiency and operating conditions were evaluated in several pilot test campaigns using a SAF supplemented by an externally applied magnetic field (electromagnet), which interacts with electrodes generating Lorentz forces, which are responsible for an MHD stirring effect. In order to simulate experimental conditions and thus understand reaction kinetics and settle mechanisms during pilot tests, this work includes computational fluid dynamics (CFD) models. In order to represent these electromagnetic conditions, the focus of this work is to develop a new coupled CFD model. Numerical simulations showed the interactions between MHD flow field, slag properties, and metal recovery in an industrial slag-cleaning reactor and demonstrated the MHD cleaning effect on non-ferrous slags.
Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma
Authors: Luconi Michaela , Cantini Giulia , van Leeuwaarde Rachel S. , Roebaar Rogina , Fei Laura , Propato Arianna Pia , Santi Raffaella , Ercolino Tonino , Mannelli Massimo , Canu Letizia , de Krijger Ronald R. , Nesi Gabriella 
Published: March 2023

AbstractAdrenal cortical carcinoma (ACC) is an uncommon neoplasm with variable prognosis. Several histologic criteria have been identified as predictors of malignancy in adrenal cortical tumors. The Weiss score is the system most widely employed for diagnostic purposes, but also possesses prognostic value. We aim to determine the relative impact of each Weiss parameter on ACC patient survival. A multicenter retrospective analysis was conducted on a series of 79 conventional ACCs surgically treated at the Florence and Utrecht centers of the European Network for the Study of Adrenal Tumors (ENSAT). Weiss classification was recapitulated using principal component analysis (PCA). The Kaplan–Meier and Cox multivariate regression analyses were applied in order to estimate the prognostic power of Weiss versus other clinical parameters. PCA reduced the nine Weiss parameters to the best fitting 4-component model, each parameter clustering with a single component. Necrosis and venous invasion clustered together with the highest scores, thus establishing the most relevant component (Component 1) to explain Weiss distribution variability. Only Component 1 significantly predicted overall survival (OS, log-rank = 0.008) and disease-free survival (DFS, log-rank < 0.001). When considering the prognostic power of Weiss parameters, necrosis alone could independently assess OS (log-rank = 0.004) and DFS (log-rank < 0.001) at both the Kaplan–Meier and multivariate Cox regression analyses [hazard ratio (HR) = 7.8, 95% confidence interval [CI] = 1.0–63.5, p = 0.05, and HR = 12.2, 95% CI = 1.6–95.0, p = 0.017, respectively]. The presence of necrosis significantly shortened time to survival (TtS) and time to recurrence (TtR), 57.5 [31.5–103.5] vs 34 [12–78] months (p = 0.05) and 57.5 [31.5–103.5] vs 7 [1.0–31.5] months (p < 0.001), respectively. Our study suggests that, of the Weiss parameters, necrosis is the most powerful adverse factor and the best predictor of OS and DFS in ACC patients.
Pelvic floor and perineal muscles: a dynamic coordination between skeletal and smooth muscles on pelvic floor stabilization
Authors: Muro Satoru , Akita Keiichi 
Published: March 2023

AbstractThe purpose of this review is to present our researches on the pelvic outlet muscles, including the pelvic floor and perineal muscles, which are responsible for urinary function, defecation, sexual function, and core stability, and to discuss the insights into the mechanism of pelvic floor stabilization based on the findings. Our studies are conducted using a combination of macroscopic examination, immunohistological analysis, 3D reconstruction, and imaging. Unlike most previous reports, this article describes not only on skeletal muscle but also on smooth muscle structures in the pelvic floor and perineum to encourage new understanding. The skeletal muscles of the pelvic outlet are continuous, which means that they share muscle bundles. They form three muscle slings that pass anterior and posterior to the anal canal, thus serving as the foundation of pelvic floor support. The smooth muscle of the pelvic outlet, in addition to forming the walls of the viscera, also extends in three dimensions. This continuous smooth muscle occupies the central region of the pelvic floor and perineum, thus revising the conventional understanding of the perineal body. At the interface between the levator ani and pelvic viscera, smooth muscle forms characteristic structures that transfer the lifting power of the levator ani to the pelvic viscera. The findings suggest new concepts of pelvic floor stabilization mechanisms, such as dynamic coordination between skeletal and smooth muscles. These two types of muscles possibly coordinate the direction and force of muscle contraction with each other.
Antidiabetic and anti-obesity properties of a polyphenol-rich flower extract from Tagetes erecta L. and its effects on Caenorhabditis elegans fat storages
Authors: Núñez Sonia , Moliner Cristina , Valero Marta Sofía , Mustafa Ahmed M. , Maggi Filippo , Gómez-Rincón Carlota , López Víctor 
Published: March 2023

Abstract
Diabetes mellitus (DM) is a metabolic disease characterized by a high blood sugar level that can cause severe complications to the organism or even death when not treated. However, certain dietary habits and foods may have beneficial effects on this condition. A polyphenolic-rich extract (containing hyperoside, isoquercitrin, quercetin, ellagic acid, and vanillic acid) of Tageres erecta L. (T. erecta) was obtained from yellow and orange flowers using an ethanolic Soxhlet extraction. These extracts were screened for antidiabetic and anti-obesity properties using in vitro and in vivo procedures. The capacity to inhibit the enzymes lipase and α-glucosidase, as well as the inhibition of advance glycation end-products (AGEs) was tested in vitro. Caenorhabditis elegans (C. elegans) was used as an obesity in vivo model to assess extracts effects on fat accumulation using the wild-type strain N2 and a mutant with no N3 fatty acid desaturase activity BX24. Extracts from both cultivars (yellow and orange) T. erecta presented in vitro inhibitory activity against the enzymes lipase and α-glucosidase, showing lower IC50 values than acarbose (control). They also showed important activity in preventing AGEs formation. The polyphenol-rich matrices reduced the fat content of obese worms in the wild-type strain (N2) down to levels of untreated C. elegans, with no significant differences found between negative control (100% reduction) and both tested samples (p < 0.05). Meanwhile, the fat reduction was considerably lower in the BX24 mutants (fat-1(wa-9)), suggesting that N3 fatty acid desaturase activity could be partially involved in the T. erecta flower effect. Our findings suggested that polyphenols from T. erecta can be considered candidate bioactive compounds in the prevention and improvement of metabolic chronic diseases such as obesity and diabetes.
VAQA: Visual Arabic Question Answering
Authors: kamel Sarah M. , Hassan Shimaa I. , Elrefaei Lamiaa 
Published: March 2023

AbstractVisual Question Answering (VQA) is the problem of automatically answering a natural language question about a given image or video. Standard Arabic is the sixth most spoken language around the world. However, to the best of our knowledge, there are neither research attempts nor datasets for VQA in Arabic. In this paper, we generate the first Visual Arabic Question Answering (VAQA) dataset, which is fully automatically generated. The dataset consists of almost 138k Image-Question-Answer (IQA) triplets and is specialized in yes/no questions about real-world images. A novel database schema and an IQA ground-truth generation algorithm are specially designed to facilitate automatic VAQA dataset creation. We propose the first Arabic-VQA system, where the VQA task is formulated as a binary classification problem. The proposed system consists of five modules, namely visual features extraction, question pre-processing, textual features extraction, feature fusion, and answer prediction. Since it is the first research for VQA in Arabic, we investigate several approaches in the question channel, to identify the most effective approaches for Arabic question pre-processing and representation. For this purpose, 24 Arabic-VQA models are developed, where two question-tokenization approaches, three word-embedding algorithms, and four LSTM networks with different architectures are investigated. A comprehensive performance comparison is conducted between all these Arabic-VQA models on the VAQA dataset. Experiments indicate that the performance of all Arabic-VQA models ranges from 80.8 to 84.9%, while utilizing Arabic-specified question pre-processing approaches of considering the special case of separating the question tool "Image missing" and embedding the question words using fine-tuned Word2Vec models from AraVec2.0 have significantly improved the performance. The best-performing model is which treats the question tool "Image missing" as a separate token, embeds the question words using AraVec2.0 Skip-Gram model, and extracts the textual feature using one-layer unidirectional LSTM. Further, our best Arabic-VQA model is compared with related VQA models developed on other popular VQA datasets in a different natural language, considering their performance only on yes/no questions according to the scope of this paper, showing a very comparable performance.
Onionin A inhibits small-cell lung cancer proliferation through suppressing STAT3 activation induced by macrophages-derived IL-6 and cell–cell interaction with tumor-associated macrophage
Authors: Mito Remi , Iriki Toyohisa , Fujiwara Yukio , Pan Cheng , Ikeda Tsuyoshi , Nohara Toshihiro , Suzuki Makoto , Sakagami Takuro , Komohara Yoshihiro 
Published: March 2023

AbstractTumor-associated macrophage (TAM)-derived IL-6 is involved in small-cell lung cancer (SCLC) progression and chemoresistance via the activation of signal transducer and activator of transcription 3 (STAT3) in the tumor microenvironment. This study aimed to identify natural compounds that suppress cell–cell interactions between TAMs and SCLC cells by inhibiting STAT3 activation. We used a library of natural compounds to identify candidate agents possessing anti-SCLC effects by inhibiting macrophage-induced tumor proliferation. SBC-3 and SBC-5, human SCLC cell lines, were used for in vitro experiments. Furthermore, we assessed the efficacy of these candidate agents in a murine xenograft model of human SCLC. Among the natural compounds examined, onionin A (ONA) inhibited IL-6-induced STAT3 activation and SCLC cell proliferation. ONA also reduced the secretion of IL-6 from macrophages and interfered with the direct effect of cell–cell interactions between macrophages and SCLC cells. Furthermore, ONA administration suppressed tumor progression in a tumor-bearing mouse model. ONA was identified as the most useful candidate for targeting cell–cell interactions between cancer cells and TAMs for anti-SCLC therapy.
Efficacy and safety of antiparasitic therapy for neurocysticercosis in rural Tanzania: a prospective cohort study
Authors: Stelzle D. , Makasi C. , Schmidt V. , Trevisan C. , Van Damme I. , Ruether C. , Dorny P. , Magnussen P. , Zulu G. , Mwape K. E. , Bottieau E. , Prazeres da Costa C. , Prodjinotho U. F. , Carabin H. , Jackson E. , Fleury A. , Gabriël S. , Ngowi B. J. , Winkler A. S. 
Published: March 2023

Abstract
Purpose
Neurocysticercosis is common in regions endemic for Taenia solium. Active-stage neurocysticercosis can be treated with antiparasitic medication, but so far no study on efficacy and safety has been conducted in Africa.

Methods
We conducted a prospective cohort study on treatment of neurocysticercosis in Tanzania between August 2018 and January 2022. Patients were initially treated with albendazole (15 mg/kg/d) for 10 days and followed up for 6 months. Additionally in July 2021, all participants who then still had cysts were offered a combination therapy consisting of albendazole (15 mg/kg/d) and praziquantel (50 mg/kg/d). Antiparasitic treatment was accompanied by corticosteroid medication and anti-seizure medication if the patient had experienced epileptic seizures before treatment.

Results
Sixty-three patients were recruited for this study, of whom 17 had a complete follow-up after albendazole monotherapy. These patients had a total of 138 cysts at baseline, of which 58 (42%) had disappeared or calcified by the end of follow-up. The median cyst reduction was 40% (interquartile range 11–63%). Frequency of epileptic seizures reduced considerably (p < 0.001). Three patients had all active cysts resolved or calcified and of the remaining 14, eight received the combination therapy which resolved 63 of 66 cysts (95%). Adverse events were infrequent and mild to moderate during both treatment cycles.

Conclusion
Cyst resolution was unsatisfactory with albendazole monotherapy but was very high when it was followed by a combination of albendazole and praziquantel.