bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative study of mono ethylene glycol economic production via different techniques
Authors: Shehata Walaa M. , Nady Taha G. , Gad Fatma K. , Shoaib Abeer M. , Bhran Ahmed A. 
Published: November 2024

AbstractMono-ethylene glycol (MEG) is a high-volume chemical intermediate used as a raw material for a variety of chemical products. It could also be used as a hydrate inhibitor in natural gas. Recently, the importance of MEG has been increased due to its usage as a supporting emulsifier in diesel engines to reduce NOx and soot emissions, in addition to its usage as an additive to dual fuel diesel engines. The increase consumption of MEG in wide range of applications leads to the search for the most efficient, environmental friendly and cost effective technique to produce more quantities of it. MEG is most commonly manufactured via the hydration of ethylene oxide (EO). In this work, two different technologies of EO hydration to produce MEG are compared; the direct hydration of EO with water and the indirect hydration through the usage of ethylene carbonate (EC) as an intermediate. Comparative economic and environmental impact assessments were performed based on plant-scale simulations (per 600,000 tons per year of MEG produced) of the two hydration technologies using Aspen HYSYS version 11 simulation software. Economic analysis showed that the utilities’ energy consumption for direct hydration process is significantly higher than for indirect hydration by 279 megawatts. On the other hand, the environmental impact assessments showed that GHG emissions from natural gas power generation from utilities from direct hydration are three times greater than GHG emissions from indirect hydration. This leads to indirect hydration of ethylene oxide through ethylene carbonate formation being considered economically and environmentally preferable compared to the direct hydration process of ethylene oxide.
Interactions between the fovea and the periphery shape misbinding of visual features in a continuous report paradigm
Authors: Crayen Max Arwed , Treue Stefan , Esghaei Moein 
Published: November 2024

AbstractHuman object perception depends on the proper integration of multiple visual features, such as color and motion. When features are integrated incorrectly, they are perceptually misbound and can cause illusions. This study investigates the phenomenon of continuous misbinding of color and motion features in peripheral vision, addressing the role of spatial continuity and color configuration in binding processes. Using a novel continuous report task, human subjects reported the perceived movement direction of color-coded dots in the peripheral visual field that were either congruent or incongruent with a foveal stimulus. Results indicate that spatial continuity is crucial for feature misbinding, with a marked decrease in peripheral perceptions bound to match foveal perception when the foveal and peripheral stimuli are spatially disjointed. Additionally, performance improved significantly when peripheral and foveal features were aligned, suggesting a ‘positive illusion’ effect where congruent features enhance perceptual accuracy. This effect was independent of the color pairings used, challenging the notion that color processing discrepancies might drive erroneous perception in this stimulus. These findings highlight the complex interplay between spatial configuration and perceptual accuracy in visual feature integration, with implications for understanding the neural basis of vision and developing applications to address perceptual inaccuracies in visual disorders.
A post-hoc analysis of risk factors for poor quality of life after surgical treatment of spondylodiscitis
Authors: Sircar Krishnan , Jochimsen Dorothee , Meyer-Schwickerath Charlotte , Jung Norma , Kernich Nikolaus , Eysel Peer , Yagdiran Ayla 
Published: November 2024

Abstract
Patient-reported outcome measures for quality of life (QoL) like the Oswestry-Disability-Index (ODI) are useful for a quick, comprehensive and comparable evaluation of spondylodiscitis treatment. While it is known that even after successful surgical treatment, the QoL of spondylodiscitis patients remains below that of the general population, risk factors for a poor outcome have not been described so far. We did a retrospective post-hoc analysis of 130 surgically treated spondylodiscitis patients from 2008 to 2022. Biographical, clinical und QoL data were prospectively collected before (T0) and one year (T1) after surgery. The primary outcome was QoL at T1. Patients were grouped according to their ODI score at T1 (Group 1: ODI < 35, favorable QoL; Group 2: ODI ≥ 35, poor QoL) and analyzed for risk factors present at T0. Poor QoL at T1 occurred in 51 patients (39%). Multivariate analysis identified a higher preoperative leg pain (odds ratio: 1.2) and the presence of a malignant disease (odds ratio: 1.9) as independent preoperative risk factors for a poor QoL at T1. Spondylodiscitis patients with malignancy and/or preoperative leg pain may be at increased risk for poor QoL after surgical treatment. These results can be used to individualize patient information and provide a better assessment of prognosis before surgery.
A systematic review and meta-analysis of blood level of MCP-1/CCL-2 in severe and uncomplicated malaria
Authors: Kotepui Manas , Kwankaew Pattamaporn , Mahittikorn Aongart , Kotepui Kwuntida Uthaisar , Masangkay Frederick Ramirez , Wattanapisit Apichai , Wilairatana Polrat 
Published: November 2024

AbstractMonocyte chemoattractant protein-1 (MCP-1) or C-C Motif Chemokine Ligand 2 (CCL-2) is a key chemokine implicated in the inflammatory response to malaria. The objective of the study was to synthesize the evidence on variations in MCP-1/CCL-2 levels in relation to Plasmodium spp. infections and the severity of malaria. The protocol for this systematic review and meta-analysis was registered at PROSPERO (CRD42024565867). To identify relevant studies, a comprehensive search strategy was conducted using major databases, including PubMed, Scopus, Embase, Medline, Journals@Ovid, and Nursing & Allied Health Premium. The Joanna Briggs Institute (JBI) critical appraisal checklists were used to determine the risk of bias in selected studies. The pooled standardized mean difference (SMD, Hedge’s g) and their 95% confidence interval (CI) were estimated using the random-effects model. Thirty-three studies, with a total of 6,804 participants enrolled, were included in the systematic review. Most studies (60.6%) were published between 2010 and 2019; the majority (57.6%) were conducted in Africa. The predominant Plasmodium species studied was P. falciparum (66.7%). The meta-analysis revealed no significant difference in MCP-1/CCL-2 levels between Plasmodium-infected and uninfected individuals (P: 0.16, SMD: 0.99, 95% CI: -0.39–2.37, I2: 97.2%, number of participants: 2140). Subgroup analysis found an increase in MCP-1/CCL-2 levels in children with Plasmodium infections, with no heterogeneity observed (I2: 0%). Subgroup analysis found no difference in MCP-1/CCL-2 levels between P. falciparum-infected participants and uninfected participants, as well as between P. falciparum or non-P. falciparum-infected participants and uninfected participants. The meta-analysis revealed significantly higher MCP-1/CCL-2 levels in participants with severe Plasmodium infections compared to those with non-severe malaria (P: 0.04, SMD: 1.51, 95% CI: 0.06–2.95, I2: 98.5%, number of participants: 1371). The systematic review and meta-analysis suggest no statistically significant difference in MCP-1/CCL-2 levels in participants with Plasmodium infections overall. However, there was a significant increase in MCP-1/CCL-2 levels in patients with severe malaria. These findings suggest that MCP-1/CCL-2 may have potential as a prognostic biomarker for severe malaria. Future research should focus on large-scale, well-designed studies to validate the role of MCP-1/CCL-2 in malaria and further explore its prognostic potential.
How sociodemographic factors relate to trust in artificial intelligence among students in Poland and the United Kingdom
Authors: Kozak Jarosław , Fel Stanisław 
Published: November 2024

AbstractThe article aims to determine the sociodemographic factors associated with the level of trust in artificial intelligence (AI) based on cross-sectional research conducted in late 2023 and early 2024 on a sample of 2098 students in Poland (1088) and the United Kingdom (1010). In the times of AI progressively penetrating people’s everyday life, it is important to identify the sociodemographic predictors of trust in this increasingly dynamically developing technology. The theoretical framework for the article is the extended Unified Theory of Acceptance and Use of Technology (UTAUT), which highlights the significance of sociodemographic variables as predictors of trust in AI. We performed a multivariate ANOVA and regression analysis, comparing trust in AI between students from Poland and the UK to identify the significant predictors of trust in this technology. The significant predictors of trust were nationality, gender, length of study, place of study, religious practices, and religious development. There is a need for research into the sociodemographic factors of trust in AI and for expanding the UTAUT to include new variables.
Targeting ErbB and tankyrase1/2 prevent the emergence of drug-tolerant persister cells in ALK-positive lung cancer
Authors: Fujimura Takaaki , Furugaki Koh , Mizuta Hayato , Muraoka Satoshi , Nishio Makoto , Adachi Jun , Uchibori Ken , Miyauchi Eisaku , Hayashi Hidetoshi , Katayama Ryohei , Yoshiura Shigeki 
Published: November 2024

AbstractTargeting the drug tolerant persister (DTP) state in cancer cells should prevent further development of resistance mechanisms. This study explored combination therapies to inhibit alectinib-induced DTP cell formation from anaplastic lymphoma kinase–positive non-small cell lung cancer (ALK + NSCLC) patient–derived cells. After drug-screening 3114 compounds, pan-HER inhibitors (ErbB pathway) and tankyrase1/2 inhibitors (Wnt/β-catenin signaling) emerged as top candidates to inhibit alectinib-induced DTP cells growth. We confirmed knockdown of both TNKS1/2 in DTP cells recovered the sensitivity to alectinib. Further, our study suggested knockdown of TNKS1/2 increased stability of Axin1/2, which induced β-catenin degradation and decreased its nuclear translocation, thereby suppressing transcription of antiapoptotic and proliferation-related genes (survivin, c-MYC). Targeting both pathways with alectinib+pan-HER inhibitor and alectinib+TNKS1/2 inhibitor suppressed alectinib-induced DTP cells, and the triple combination almost completely prevented the appearance of DTP cells. In conclusion, combination with ALK-TKI, pan-HER and TNKS1/2 inhibitors has the potential to prevent the emergence of DTP in ALK + NSCLC.
Exploring synergies between GnP and fiber orientation in enhancing mechanical, thermomechanical, and shape memory properties of carbon fiber polymer composites
Authors: Gupta Ritesh , Deshmukh Mansi , Mittal Gaurav 
Published: November 2024

Abstract
This research investigates the mechanical, thermomechanical, and shape memory properties across 12 configurations of shape memory hybrid composites, varying in carbon fiber orientation: uni-directional (UD), bi-directional-Twill (BDT), and bi-directional-Plain (BDP), and graphene nanoplatelets (GnP) weight percentages of 0.4%, 0.6%, and 0.8% elucidate the synergistic effects of fiber architecture and nanomaterial reinforcement. The fabrication process involves initially preparing GnP-modified epoxy nanocomposites through ultrasonication followed by hand layup techniques to fabricate three-phase shape memory hybrid composites. Optimal tensile performance is observed in GnP-modified UD composites at a 0.6 wt% concentration, achieving a tensile strength of 728.32 MPa and a modulus of 71.29 GPa. Furthermore, enhancements in thermomechanical and shape memory properties are noted in GnP-modified BDT composites and are further improved in GnP-modified BDP composites configurations. These improvements are attributed to enhanced interfacial bonding between the polymer and fiber, with the maximum effect observed at the 0.6 wt% BDP composite, validated by morphological analysis using field emission scanning electron microscopy FESEM. The study demonstrates that despite polymer modification, all configurations maintain high shape recovery ratios, particularly notable at 97.54% for 0.6 wt% GnP modified BDP composite, exceeding 90% across all configurations, indicating robust performance in shape memory capabilities.
First demonstration of a self-aligned p-channel GaN back gate injection transistor
Authors: Wang Yingjie , Huang Sen , Jiang Qimeng , Liu Jiaolong , Wang Xinhua , Liu Wen , Wang Liu , Shi Jingyuan , Fan Jie , Gao Xinguo , Yin Haibo , Wei Ke , Liu Xinyu 
Published: November 2024

Abstract
In this study, we present the development of self-aligned p-channel GaN back gate injection transistors (SA-BGITs) that exhibit a high ON-state current. This achievement is primarily attributed to the conductivity modulation effect of the 2-D electron gas (2DEG, the back gate) beneath the 2-D hole gas (2DHG) channel. SA-BGITs with a gate length of 1 μm have achieved an impressive peak drain current (I
D,MAX) of 9.9 mA/mm. The fabricated SA-BGITs also possess a threshold voltage of 0.15 V, an exceptionally minimal threshold hysteresis of 0.2 V, a high switching ratio of 107, and a reduced ON-resistance (R
ON) of 548 Ω·mm. Additionally, the SA-BGITs exhibit a steep sub-threshold swing (SS) of 173 mV/dec, further highlighting their suitability for integration into GaN logic circuits.
Chalcogenide perovskites—challenges, status, and future prospects
Authors: Kannan Pidugu Kesavan , Anandkumar Mariappan , Bhavani Gopal 
Published: November 2024

Abstract
Perovskites dominate the photovoltaic research community over the last two decades due to its very high absorption coefficient, electron and hole mobility. However, most of the reported solar cells constitute organic perovskites which offer very high efficiency but are highly unstable. Chalcogenide perovskites like BaZrS3, CaZrS3, etc. promise to be a perfect alternate owing to its high stability and mobilities. But, till now no stable photovoltaic device has been successfully fabricated using these materials and the existing challenges present in the synthesis of such perovskites are discussed. Also, the basic thermodynamic aspects that are essential for formation of BaZrS3 are discussed. An extensive review on the precedent literatures and the future direction in the BaZrS3 photovoltaic device research is clearly given.
Innovative 3D reconstruction in oral and sinus surgery using advanced printing technologies
Authors: Pisla Daria , Eftimie Sorana , Hedesiu Mihaela , Rotaru Horatiu , Bulbucan Vasile , Vaida Calin , Radeanu Doinel , Roman Raluca 
Published: November 2024

Abstract
The aim of this paper is to provide an innovative approach to develop novel three-dimensional models of the paranasal sinuses in order to increase the surgical efficiency in oral and sinus surgery. The anatomic models are made from materials with special mechanical properties that mimic real human structures. The models can be used for pre-planning and training in functional endoscopic sinus surgery. The data from the CBCT (Cone beam computed tomography) scan was exported as an STL (stereolithography) file and then processed for 3D printing. A two-stage approach was used, firstly printing the sinus cavity as a rigid model to assess the geometric accuracy of the 3D reconstruction, and secondly a multi-material model with elastic properties encompassing the sinus structures as a hollow volume inside a parallelepipedal model. The preliminary tests using FESS instruments showed promising results towards the final goal to achieve an anatomic replica of the oral and sinus areas in terms of geometry and tissue elastic behaviour.
Effect of the electric field on human cells: from in vitro response to in vivo feedback
Authors: Portan Diana V. 
Published: November 2024

Abstract
Experimental observations of human cells feedback to an electric field are presented, followed by a debate based on literature sources on implications of the electromagnetic fields generated by modern devices on the human health. While focus is usually on electromagnetic fields negative effects, the importance of having an appropriate bioelectric environment for the body and its crucial role in the in vitro studies are neglected. To enable progress, the merging of laboratory and clinical investigations is the solution to finding prevention, protection and treatment methods against the negative effects produced by electromagnetic fields.
Study upon the influence of mobile phone protective case on SAR distribution
Authors: Oprea Petronela-Camelia , Păuleț Marius , Sălceanu Alexandru 
Published: November 2024

Abstract
The article presents a series of simulations performed with CST Studio software, using the Hugo male model, a member of CST Voxel Family. These simulations aim to study the effect that the conductivity (thermal and electrical) of the phone protective case might have on the SAR distribution. In the first part, details are presented on how to understand and use the SAR parameter, on how CST Studio simulates it, complementary with the method of delivery of the obtained data. All 6 communication ports of the available phone model have been tested, 4 of them intended for 2G, 2G+, 3G, 4G mobile phone technologies, the other 2 being dedicated to the two Wi-Fi standards (2.4 and 5 GHz). The phone has been placed in the left breast pocket (near heart). The SAR values have been compared for three different cases: silicone protective case without conductive foil, with 0.5 mm Aluminum conductive foil, placed between the phone and the case and with foil of the same thickness, but made of Copper. Conclusions have been drawn regarding the SAR reduction percentages as a result of the use of conductive foils. A recommendation regarding an efficient and accessible solution for designing and making phone protective cases has been issued.
Spectrogram based Wi-Fi usage activity classification using deep learning
Authors: Sarbu Annamaria , Șuhani Simion , Șorecău Mirela , Șorecău Emil 
Published: November 2024

Abstract
The article presents and characterizes the ability of a neural network to distinguish between different Wi-Fi activities based on their distinct spectral features. To achieve this objective, we have built a database containing spectrogram images retrieved by over-the-air measurements of signals emitted in 802.11ax Wi-Fi networks deployed in both the 2.4 GHz and 5 GHz frequency bands. The dataset consists of spectrograms labeled by six distinct user activities, namely file download, speed test, video streaming, file upload, video call, and voice over IP call (VoIP). The network training parameters such as learning rate and validation frequency were optimized to enhance model performance. The influence of different activation functions, ReLU, leaky ReLU, eluLayer, and swishLayer from Matlab was also evaluated to achieve neural network fine-tunning. Results demonstrate the effectiveness of the proposed neural network architecture in accurately classifying Wi-Fi usage patterns, achieving test accuracies above 98%.
HF-NVIS Data Communication: OFDM Transmission Testing and Optimization Strategies
Authors: Șorecău Emil , Șorecău Mirela , Bechet Paul 
Published: November 2024

Abstract
Orthogonal frequency division multiplexing (OFDM), a technique that uses frequency division multiplexing to allow parallel transmission of data over multiple subchannels, is widely used in various wireless systems. Its effectiveness even extends to HF links, where it has demonstrated superior performance compared to single-carrier schemes. In addition, OFDM’s robustness to multipath fading and its ability to efficiently utilize the available bandwidth make it a preferred choice for modern communication systems, but also for scenarios with complex communication links, such as HF range communications. The objective of this experimental research is to analyze and improve the performance of the OFDM technique adapted to HF communication channels. This study is motivated by the lack of a protocol to regulate HF communications using OFDM. The analysis and optimization method starts by considering the fundamental bandwidths of HF channels (ranging from 3 to 24 kHz). For this purpose, OFDM-specific modifications have been analyzed, including changes in the FFT size (representing the number of subcarriers), adjustment of the number and amplitude of pilots, analysis of the impact of packet length modification (pre-OFDM), and evaluation of guard intervals. In essence, our goal is to implement an OFDM technique commonly used in modern data communications in the context of traditional HF communications systems.
The Coloniality of Power in Union Ireland
Authors: O’Neill Ciaran 
Published: November 2024

Abstract
This chapter explores the power dynamics within the Union, thinking through power structures at local, urban, and national levels. Drawing from Quijano’s notion of the ‘coloniality of power’, it critically examines the government of Ireland during the early decades of the Union. Who was the state bureaucracy designed by, and how did it evolve? The Irish State has variously been described as chimeric or illegitimate. Here we explore the contours and character of Irish government, its ironies as well as its deficiencies.
Image forgery localization integrating multi-scale and boundary features
Authors: Yang Xinyan , Zhang Rongchuan , Li Shao , Liang Gang 
Published: November 2024

Abstract
Image forgery localization identifies tampered regions within an image by extracting distinctive forgery features. Current methods mainly use convolutional neural networks (CNNs) to extract features. However, CNNs’ limited receptive field emphasizes local features, impeding the global modeling of crucial lower-level features like edges and textures, leading to decreased precision. Moreover, prior methods use pyramid networks for multi-scale feature extraction but show deficiencies in multi-scale and interlayer modeling, leading to inadequate multi-scale information representation and limiting flexibility to tampered regions of varying sizes. To address these issues, this paper proposes a Transformer-based model integrating multi-scale and boundary features. The model employs a Pyramid Vision Transformer as the encoder, using self-attention over convolution to enhance global context modeling. Building on this, the model incorporates a multi-scale feature enhancement module that enriches forgery features by paralleling various convolutional layers. Features at various encoder stages are integrated through a cross-stage interaction module, enabling multi-level feature correlation for a strong feature representation. Furthermore, the model includes a forgery boundary information-guided branch, which focuses precisely on tampered region structures without introducing irrelevant noise. Experiments demonstrate that our model surpasses previous methods in localization accuracy, with F1 and AUC improving by 8.5% and 2.2% in pre-training, respectively.