bluuebunny/crossref_metadata_2025 huggingface dataset:
Technological Principles of Complex Plasma-Beam Surface Treatment of Al2O3/TiC and SiAlON Ceramics
Authors: Grigoriev Sergey N. , Volosova Marina A. , Lyakhovetsky Maxim A. , Mitrofanov Artem P. , Kolosova Nataliya V. , Okunkova Anna A.
Published: November 2023

Thermomechanical action during high-performance diamond grinding of sintered cutting Al2O3/TiC and SiAlON ceramics leads to increased defectiveness of the surface layer of the deposited TiZrN and CrAlSiN/DLC coatings. It predetermines the discontinuous and porous coatings and reduces its effectiveness under abrasive exposure and fretting wear. The developed technological approach is based on “dry” etching with beams of accelerated argon atoms with an energy of 5 keV for high-performance removal of defects. It ensures the removal of the defective layer on ceramics and reduces the index of defectiveness (the product of defects’ density per unit surface area) by several orders of magnitude, compared with diamond grinding. There are no pronounced discontinuities and pores in the microstructure of coatings. Under mechanical loads, the coatings ensure a stable boundary anti-friction film between the ceramics and counter body that significantly increases the wear resistance of samples. The treatment reduces the volumetric wear under 20 min of abrasive action by 2 and 6 times for TiZrN and CrAlSiN/DLC coatings for Al2O3/TiC and by 5 and 23 times for SiAlON. The volumetric wear under fretting wear at 105 friction cycles is reduced by 2–3 times for both coatings for Al2O3/TiC and by 3–4 times for SiAlON.
Immune System, Inflammation and Autoantigens in Wet Age-Related Macular Degeneration: Pathological Significance and Therapeutic Importance
Authors: Manikandan Sreeraj , Logan Ann , Cerrada-Gimenez Marc , Fitzhenry Laurence , Coffey Lee , Kaja Simon , Rani Sweta
Published: November 2023

Wet age-related macular degeneration (wAMD) is a chronic inflammation-associated neurodegenerative disease affecting the posterior part of the eye in the aging population. Aging results in the reduced functionality of cells and tissues, including the cells of the retina. Initiators of a chronic inflammatory and pathologic state in wAMD may be a result of the accumulation of inevitable metabolic injuries associated with the maintenance of tissue homeostasis from a young age to over 50. Apart from this, risk factors like smoking, genetic predisposition, and failure to repair the injuries that occur, alongside attempts to rescue the hypoxic outer retina may also contribute to the pathogenesis. Aging of the immune system (immunosenescence) and a compromised outer blood retinal barrier (BRB) result in the exposure of the privileged milieu of the retina to the systemic immune system, further increasing the severity of the disease. When immune-privileged sites like the retina are under pathological stress, certain age- and disease-related conditions may necessitate assistance from cells distant from the resident ones to help restore the functionality of the tissue. As a necessary part of tissue repair, inflammation is a major response to disease and recruits immune cells to the site of damage. We suspect that the specific reparative inflammatory responses are controlled by an autoantigen-T cell-mediated mechanism, a process that may be hindered in wAMD.
Barriers and Motivators toward Childhood COVID-19 Vaccination: A Cross-Sectional Study Conducted among Saudi Population
Authors: AlOsaimi Hind M. , Alqahtani Ali M. , Alanazi Nadia M. , Alotibi Nouf N. , Alrazog Mohammed S. , Aljameel Hanoof A. , Alshehri Raghad M. , Alhusayni Sarah J. , Alshammari Mohammed K.
Published: November 2023

Background and Objectives: In 2020, one of the most important steps that were made was to give priority to the development of a COVID-19 vaccine to prevent the rising incidence of COVID-19 from continuing to rise. However, globally, there is a variable acceptance of the level of the COVID-19 vaccine. This study aims to explore Saudi parents’ willingness to vaccinate their children against COVID-19. Materials and Methods: This was a cross-sectional study; the online questionnaire was used to investigate the views of Saudi parents with children aged under 18 toward the immunization of their children against COVID-19. The data were gathered from 10 May 2022 to 31 October 2022. The data analysis uses SPSS version 20. A p-value of 0.05 or lower was regarded as statistically significant. Results: A total of 978 Saudi parents participated in this study. Most of the respondents were from the age group of 36–45 years with the educational qualification of high school and bachelor’s degree. Overall, it was observed that the majority, 98.2% of the respondents, disclosed that they needed more information (p = 0.004) about COVID-19 vaccine safety among children so that they could decide whether to vaccinate their child. About 91.4% of parents mention that vaccination against COVID-19 is not necessary for children (p = 0.001). About 68.3% of respondents agreed that getting vaccinated against COVID-19 could help Saudi Arabia control COVID-19 (p = 0.007, RI = 0.76). In terms of negative attitudes toward COVID-19 vaccination, 71.3% think that there will be severe side effects (p = 0.019, RI = 0.75); 67.7% think that the vaccine’s protection will only last for a short time (p = 0.055, RI = 0.72); 80.1% said they were afraid of getting vaccinated because of needle fear (p = 0.045, RI = 0.76), and 41.2% said lack of time was the main barrier to not vaccinating their child. Conclusions: Parents expressed concerns regarding the safety and efficacy of the COVID-19 vaccine, which might be some of the main factors influencing their decision to vaccinate their children. It is the need of the hour to take action to communicate, educate, and intervene with Saudi parents to enhance COVID-19 vaccination compliance rates across the board.
Eco-Anxiety: An Evolutionary Line from Psychology to Psychopathology
Authors: Mento Carmela , Damiani Federica , La Versa Michele , Cedro Clemente , Muscatello Maria Rosaria Anna , Bruno Antonio , Fabio Rosa Angela , Silvestri Maria Catena
Published: November 2023

According to the scientific literature, climate change, due to human activities, can damage the environment, with psycho-physical consequences for humans. The scientific literature has highlighted how severe weather events can cause fear, stress, concern for the future, and eco-anxiety. In light of this information, this study aims to explore the concept of eco-anxiety. However, climate change is still perceived as a secondary problem. It would also be worth investigating the real importance that people attach to environmental issues compared to other circumstances, such as wars or pandemics.
Fabrication of Aluminum Alloy with Open-Channel and Columnar Structures through a Ceramic Fiber Template Method
Authors: Nakajima Hideo
Published: November 2023

Aluminum alloys with open-channel and columnar structures were fabricated by casting the melt of aluminum alloys using a ceramic fiber template method. Stainless steel plates or wires coated with ceramic fibers impregnated by polyvinyl alcohol were used as cores. The cores were embedded in a melt of an aluminum alloy. After solidification, the ceramic fibers were macerated and became sodden by immersing the aluminum alloy ingots in water so that the plates or wires were easily removed by extraction forces as large as 5N, in other words, by pulling out them manually. Thus, an open-channel aluminum alloy was fabricated by a simple method. On the other hand, ceramic fiber blocks composed of ceramic fibers impregnated by polyvinyl alcohol were perforated by microdrills. Melts of aluminum alloy were cast in the holes by a vacuum suction method. The ceramic fibers were removed by immersing the ingots in water. Thus, a columnar-structured aluminum alloy was produced. Previous methods for the fabrication of open-channel metals necessitates a process to extract the metallic wires embedded in the solidified metals. However, the ceramic fiber template method does not require such an extraction process and thus is a very simple technique for the fabrication of open-channel metals, such as porous metals with rectangular holes and circular holes and columnar structures metals.
Self-Healing Iron Oxide Polyelectrolyte Nanocomposites: Influence of Particle Agglomeration and Water on Mechanical Properties
Authors: Oberhausen Bastian , Plohl Ajda , Niebuur Bart-Jan , Diebels Stefan , Jung Anne , Kraus Tobias , Kickelbick Guido
Published: November 2023

Self-healing nanocomposites can be generated by organic functionalization of inorganic nanoparticles and complementary functionalization of the polymer matrix, allowing reversible interactions between the two components. Here, we report on self-healing nanocomposites based on ionic interactions between anionic copolymers consisting of di(ethylene glycol) methyl ether methacrylate, sodium 4-(methacryloyloxy)butan-1-sulfonate, and cationically functionalized iron oxide nanoparticles. The materials exhibited hygroscopic behavior. At water contents < 6%, the shear modulus was reduced by up to 90%. The nanoparticle concentration was identified as a second factor strongly influencing the mechanical properties of the materials. Backscattered scanning electron microscopy and small-angle X-ray scattering measurements showed the formation of agglomerates in the size range of 100 nm to a few µm in diameter, independent of concentration, resulting in the disordering of the semi-crystalline ionic polymer blocks. These effects resulted in an increase in the shear modulus of the composite from 3.7 MPa to 5.6 MPa, 6.3 Mpa, and 7.5 MPa for 2, 10, and 20 wt% particles, respectively. Temperature-induced self-healing was possible for all composites investigated. However, only 36% of the maximum stress could be recovered in systems with a low nanoparticle content, whereas the original properties were largely restored (>85%) at higher particle contents.
Optical Optimization of Tandem Solar Cells: A Systematic Review for Enhanced Power Conversion
Authors: Razi Ayesha , Safdar Amna , Irfan Rabia
Published: November 2023

Tandem solar cells (TSCs) perform a better adaptation of the incident photons in different-energy-level bandgap materials, and overcome the Shockley–Queisser limit, but they require advanced control over the management of light for optimum performance. Nanomaterials and nanostructures offer a vastly improved control over the management of light. Through different optimization techniques, researchers can gain valuable insights regarding the optimization of various parameters of nano-optical designs. Over the past years, the number of studies on this topic has been continuously increasing. The present study reviews various current state-of-the-art optical designs, and provides an overview of the optimization techniques and numerical modeling of TSCs. This paper collected and analyzed different studies published within the years 2015–2022, using systematic literature review techniques, such as specific protocol screening and a search strategy. Seven different optical designs were extracted, along with their advanced local and global optimization methods, which offer a solution to the optical limitations of TSCs.
Investigation of Donor-like State Distributions in Solution-Processed IZO Thin-Film Transistor through Photocurrent Analysis
Authors: Kim Dongwook , Lee Hyeonju , Ejderha Kadir , Yun Youngjun , Bae Jin-Hyuk , Park Jaehoon
Published: November 2023

The density of donor-like state distributions in solution-processed indium–zinc-oxide (IZO) thin-film transistors (TFTs) is thoroughly analyzed using photon energy irradiation. This study focuses on quantitatively calculating the distribution of density of states (DOS) in IZO semiconductors, with a specific emphasis on their variation with indium concentration. Two calculation methods, namely photoexcited charge collection spectroscopy (PECCS) and photocurrent-induced DOS spectroscopy (PIDS), are employed to estimate the density of the donor-like states. This dual approach not only ensures the accuracy of the findings but also provides a comprehensive perspective on the properties of semiconductors. The results reveal a consistent characteristic: the Recombination–Generation (R-G) center energy ET, a key aspect of the donor-like state, is acquired at approximately 3.26 eV, irrespective of the In concentration. This finding suggests that weak bonds and oxygen vacancies within the Zn-O bonding structure of IZO semiconductors act as the primary source of R-G centers, contributing to the donor-like state distribution. By highlighting this fundamental aspect of IZO semiconductors, this study enhances our understanding of their charge-transport mechanisms. Moreover, it offers valuable insight for addressing stability issues such as negative bias illumination stress, potentially leading to the improved performance and reliability of solution-processed IZO TFTs. The study contributes to the advancement of displays and technologies by presenting further innovations and applications for evaluating the fundamentals of semiconductors.
A Prospective Comparison of Standard and Modified Acute Malnutrition Treatment Protocols during COVID-19 in South Sudan
Authors: Doocy Shannon , King Sarah , Ismail Sule , Leidman Eva , Stobaugh Heather ,   The Action Against Hunger/US Centers for Disease Control and Prevention Study Team
Published: November 2023

A non-randomized prospective cohort study was conducted in 2022 to compare recovery rate and length of stay (LoS) for acutely malnourished children treated under South Sudan’s standard Community Management of Acute Malnutrition (CMAM) protocol and a COVID-modified protocol. Children aged 6–59 months received acute malnutrition (AM) treatment under the standard or modified protocol (mid-upper-arm circumference-only entry/exit criteria and simplified dosing). Primary (recovery rate and LoS) were compared for outpatient therapeutic (OTP) and therapeutic supplementary feeding programs (TSFP) using descriptive statistics and mixed-effects models. Children admitted to OTP under both protocols were similar in age and sex; children admitted to TSFP were significantly older under the modified protocol than the standard protocol. Shorter LoS and higher recovery rates were observed under the modified protocol for both OTP (recovery: 93.3% vs. 87.2%; LoS: 38.3 vs. 42.8 days) and TSFP (recovery: 79.8% vs. 72.7%; LoS: 54.0 vs. 61.9 days). After adjusting for site and child characteristics, neither differences in adjusted odds of recovery [OTP: 2.63; TSFP 1.80] nor LoS [OTP −10.0; TSFP −7.8] remained significant. Modified protocols for AM performed well. Adjusted models indicate similar treatment outcomes to the standard protocol. Adopting simplified protocols could be beneficial post-pandemic; however, recovery and relapse will need to be monitored.
Inhibitory Effects of Urolithins, Bioactive Gut Metabolites from Natural Polyphenols, against Glioblastoma Progression
Authors: Shen Ching-Kai , Huang Bor-Ren , Charoensaensuk Vichuda , Yang Liang-Yo , Tsai Cheng-Fang , Liu Yu-Shu , Lai Sheng-Wei , Lu Dah-Yuu , Yeh Wei-Lan , Lin Chingju
Published: November 2023

We previously reported that proinflammatory cytokines, particularly tumor necrosis factor (TNF)-α, promoted tumor migration, invasion, and proliferation, thus worsening the prognosis of glioblastoma (GBM). Urolithins, the potent metabolites produced by the gut from pomegranate polyphenols, have anticancer properties. To develop an effective therapy for GBM, this study aimed to study the effects of urolithins against GBM. Urolithin A and B significantly reduced GBM migration, reduced epithelial–mesenchymal transition, and inhibited tumor growth. Moreover, urolithin A and B inhibited TNF-α-induced vascular cell adhesion molecule (VCAM)-1 and programmed death ligand 1 (PD-L1) expression, thereby reducing human monocyte (HM) binding to GBM cells. Aryl hydrocarbon receptor (AhR) level had higher expression in patients with glioma than in healthy individuals. Urolithins are considered pharmacological antagonists of AhR. We demonstrated that the inhibition of AhR reduced TNF-α-stimulated VCAM-1 and PD-L1 expression. Furthermore, human macrophage condition medium enhanced expression of PD-L1 in human GBM cells. Administration of the AhR antagonist attenuated the enhancement of PD-L1, indicating the AhR modulation in GBM progression. The modulatory effects of urolithins in GBM involve inhibiting the Akt and epidermal growth factor receptor pathways. The present study suggests that urolithins can inhibit GBM progression and provide valuable information for anti-GBM strategy.
Artemether Attenuates Gut Barrier Dysfunction and Intestinal Flora Imbalance in High-Fat and High-Fructose Diet-Fed Mice
Authors: Ren Xinxin , Xu Jia , Xu Ye , Wang Qin , Huang Kunlun , He Xiaoyun
Published: November 2023

Intestinal inflammation is a key determinant of intestinal and systemic health, and when our intestines are damaged, there is disruption of the intestinal barrier, which in turn induces a systemic inflammatory response. However, the etiology and pathogenesis of inflammatory diseases of the intestine are still not fully understood. Artemether (ART), one of the artemisinin derivatives, has been widely used to treat malaria. Nevertheless, the effect of ART on intestinal inflammation remains unclear. The present study intended to elucidate the potential mechanism of ART in diet-induced intestinal injury. A high-fat and high-fructose (HFHF) diet-induced mouse model of intestinal injury was constructed, and the mice were treated with ART to examine their role in intestinal injury. RT-qPCR, Western blotting, immunohistochemical staining, and 16S rRNA gene sequencing were used to investigate the anti-intestinal inflammation effect and mechanism of ART. The results indicated that ART intervention may significantly ameliorate the intestinal flora imbalance caused by the HFHF diet and alleviate intestinal barrier function disorders and inflammatory responses by raising the expression of tight junction proteins ZO-1 and occludin and decreasing the expression of pro-inflammatory factors TNF-α and IL-1β. Moreover, ART intervention restrained HFHF-induced activation of the TLR4/NF-κB p65 pathway in colon tissue, which may be concerned with the potential protective effect of ART on intestinal inflammation. ART might provide new insights into further explaining the mechanism of action of other metabolic diseases caused by intestinal disorders.
A Loss of Function in LprG−Rv1410c Homologues Attenuates Growth during Biofilm Formation in Mycobacterium smegmatis
Authors: Nisbett Lisa-Marie , Previti Mary L. , Seeliger Jessica C.
Published: November 2023

MmpL (mycobacterial membrane protein large) proteins are integral membrane proteins that have been implicated in the biosynthesis and/or transport of mycobacterial cell wall lipids. Given the cellular location of these proteins, however, it is unclear how cell wall lipids are transported beyond the inner membrane. Moreover, given that mycobacteria grow at the poles, we also do not understand how new cell wall is added in a highly localized and presumably coordinated manner. Here, we examine the relationship between two lipid transport pathways associated with the proteins MmpL11 and LprG−Rv1410c. The lipoprotein LprG has been shown to interact with proteins involved in cell wall processes including MmpL11, which is required in biofilms for the surface localization of certain lipids. Here we report that deletion of mmpL11 (MSMEG_0241) or the lprG−rv1410c operon homologues MSMEG_3070−3069 in Mycobacterium smegmatis produced similar biofilm defects that were distinct from that of the previously reported mmpL11 transposon insertion mutant. Analysis of pellicle biofilms, bacterial growth, lipid profiles, and gene expression revealed that the biofilm phenotypes could not be directly explained by changes in the synthesis or localization of biofilm-related lipids or the expression of biofilm-related genes. Instead, the shared biofilm phenotype between ΔMSMEG_3070−3069 and ΔmmpL11 may be related to their modest growth defect, while the origins of the distinct mmpL11::Tn biofilm defect remain unclear. Our findings suggest that the mechanisms that drive pellicle biofilm formation in M. smegmatis are not connected to crosstalk between the LprG−Rv1410c and MmpL11 pathways and that any functional interaction between these proteins does not relate directly to their lipid transport function.
Discovery of Guanfacine as a Novel TAAR1 Agonist: A Combination Strategy through Molecular Modeling Studies and Biological Assays
Authors: Cichero Elena , Francesconi Valeria , Casini Beatrice , Casale Monica , Kanov Evgeny , Gerasimov Andrey S. , Sukhanov Ilya , Savchenko Artem , Espinoza Stefano , Gainetdinov Raul R. , Tonelli Michele
Published: November 2023

Trace amine-associated receptor 1 (TAAR1) is an attractive target for the design of innovative drugs to be applied in diverse pharmacological settings. Due to a non-negligible structural similarity with endogenous ligands, most of the agonists developed so far resulted in being affected by a low selectivity for TAAR1 with respect to other monoaminergic G protein-coupled receptors, like the adrenoreceptors. This study utilized comparative molecular docking studies and quantitative–structure activity relationship (QSAR) analyses to unveil key structural differences between TAAR1 and alpha2-adrenoreceptor (α2-ADR), with the aim to design novel TAAR1 agonists characterized by a higher selectivity profile and reduced off-target effects. While the presence of hydrophobic motives is encouraged towards both the two receptors, the introduction of polar/positively charged groups and the ligand conformation deeply affect the TAAR1 or α2-ADR putative selectivity. These computational methods allowed the identification of the α2A-ADR agonist guanfacine as an attractive TAAR1-targeting lead compound, demonstrating nanomolar activity in vitro. In vivo exploration of the efficacy of guanfacine showed that it is able to decrease the locomotor activity of dopamine transporter knockout (DAT-KO) rats. Therefore, guanfacine can be considered as an interesting template molecule worthy of structural optimization. The dual activity of guanfacine on both α2-ADR and TAAR1 signaling and the related crosstalk between the two pathways will deserve more in-depth investigation.
PVA Nanofibers as an Insoluble pH Sensor
Authors: Mínguez-García David , Montava Ignacio , Bonet-Aracil Marilés , Gisbert-Payá Jaime , Díaz-García Pablo
Published: November 2023

Turmeric has been widely studied as a color indicator for pH variations due to its halochromic properties. It has been tested in solution or included in some polymeric matrices. Some studies have demonstrated that its change in color is due to the tautomeric species of curcumin, and this property can be observed even if turmeric is assimilated in a film or nanofiber. Chitosan/polyethylene oxide (PEO) polymers have been tested in previous studies. Polyvinyl alcohol (PVA) nanofibers are used as potential carriers of drugs once they are insolubilized. The aim of this work is to cross-link PVA with citric acid (CA) to insolubilize the nanofibers and determine the effect on turmeric’s halochromic properties. The nanofibers were treated with a sodium hydroxide (NaOH) solution, and a chromatic study was undertaken to determine color change. The change in color was assessed by eye (subjective) and by spectroscopy (objective). The nanofibers were characterized, in addition to the colorimetric study, by Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM) as well. The results demonstrate how thermal treatment induces cross-linking between the nanofibers, allowing them to keep their shape once the NaOH solution is applied to them. The opposite effect (solubilization) can be observed for non-cross-linked (NCL) samples. Although the final color varied, the cross-linked (CL) nanofibers’ halochromic behavior was maintained. It was demonstrated that during cross-linking, ester groups are formed from the free carboxyl group in the cross-linked CA and the ketones present in the curcumin under acid conditions. So, CA acts as an acid catalyst to bond turmeric to the cross-linked PVA nanofibers.
Modeling the Global Relationship via the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data
Authors: Cheng Libo , Hao Rui , Cheng Zhibo , Li Taifeng , Wang Tengxiao , Lu Wenlong , Ding Yulin , Hu Han
Published: November 2023

Due to the irregularity and complexity of ground and non-ground objects, filtering non-ground data from airborne LiDAR point clouds to create Digital Elevation Models (DEMs) remains a longstanding and unresolved challenge. Recent advancements in deep learning have offered effective solutions for understanding three-dimensional semantic scenes. However, existing studies lack the capability to model global semantic relationships and fail to integrate global and local semantic information effectively, which are crucial for the ground filtering of point cloud data, especially for larger objects. This study focuses on ground filtering challenges in large scenes and introduces an elevation offset-attention (E-OA) module, which considers global semantic features and integrates them into existing network frameworks. The performance of this module has been validated on three classic benchmark models (RandLA-Net, point transformer, and PointMeta-L). It was compared with two traditional filtering methods and the advanced CDFormer model. Additionally, the E-OA module was compared with three state-of-the-art attention frameworks. Experiments were conducted on two distinct data sources. The results show that our proposed E-OA module improves the filtering performance of all three benchmark models across both data sources, with a maximum improvement of 6.15%. The performance of models was enhanced with the E-OA module, consistently exceeding that of traditional methods and all competing attention frameworks. The proposed E-OA module can serve as a plug-and-play component, compatible with existing networks featuring local feature extraction capabilities.
Deceptive Jamming Algorithm against Synthetic Aperture Radar in Large Squint Angle Mode Based on Non-Linear Chirp Scaling and Low Azimuth Sampling Reconstruction
Authors: Dong Jiaming , Zhang Qunying , Huang Wenqiang , Wang Haiying , Lu Wei , Liu Xiaojun
Published: November 2023

Due to the complex range migration characteristics of large squint angle synthetic aperture radar (SAR), it is difficult for traditional SAR deceptive jamming algorithms to balance focusing ability and computational efficiency. There is an urgent demand for proposing a deceptive jamming algorithm against large squint angle SAR in the field of SAR jamming. This article proposes a deceptive jamming algorithm against SAR with large squint angles based on non-linear chirp scaling and low azimuth sampling reconstruction (NLCSR). The NLCSR algorithm uses a high-order approximation of a high-precision model to accurately construct the jammer’s frequency response (JFR) function. In line with the notion of low azimuth sampling processing of the transformation domain, the construction of the space-variant azimuth modulation phase item is completed using the non-linear chirp scaling method. Compared with the traditional deceptive jamming algorithms against the large squint angle SAR, the NLCSR algorithm only needs Fourier transform and complex multiplication while ensuring the focusing ability, which is easier to implement on an efficient parallel digital signal processor based on fast Fourier transform (FFT). Simulation results prove the superior property of the NLCSR algorithm in focusing ability and computational efficiency. Compared to the existing large squint angle SAR deceptive jamming algorithm, the focusing ability of the NLCSR algorithm is almost the same, and the calculation efficiency is improved by at least 52.1%.
Hyperspectral Analysis for Discriminating Herbicide Site of Action: A Novel Approach for Accelerating Herbicide Research
Authors: Niu Zhongzhong , Rehman Tanzeel , Young Julie , Johnson William G. , Yokoo Takayuki , Young Bryan , Jin Jian
Published: November 2023

In agricultural weed management, herbicides are indispensable, yet innovation in their modes of action (MOA)—the general mechanisms affecting plant processes—has slowed. A finer classification within MOA is the site of action (SOA), the specific biochemical pathway in plants targeted by herbicides. The primary objectives of this study were to evaluate the efficacy of hyperspectral imaging in the early detection of herbicide stress and to assess its potential in accelerating the herbicide development process by identifying unique herbicide sites of action (SOA). Employing a novel SOA classification method, eight herbicides with unique SOAs were examined via an automated, high-throughput imaging system equipped with a conveyor-based plant transportation at Purdue University. This is one of the earliest trials to test hyperspectral imaging on a large number of herbicides, and the study aimed to explore the earliest herbicide stress detection/classification date and accelerate the speed of herbicide development. The final models, trained on a dataset with nine treatments with 320 samples in two rounds, achieved an overall accuracy of 81.5% 1 day after treatment. With the high-precision models and rapid screening of numerous compounds in only 7 days, the study results suggest that hyperspectral technology combined with machine learning can contribute to the discovery of new herbicide MOA and help address the challenges associated with herbicide resistance. Although no public research to date has used hyperspectral technology to classify herbicide SOA, the successful evaluation of herbicide damage to crops provides hope to accelerate the progress of herbicide development.
Exploring Technology- and Sensor-Driven Trends in Education: A Natural-Language-Processing-Enhanced Bibliometrics Study
Authors: Gomez Manuel J. , Ruipérez-Valiente José A. , García Clemente Félix J.
Published: November 2023

Over the last decade, there has been a large amount of research on technology-enhanced learning (TEL), including the exploration of sensor-based technologies. This research area has seen significant contributions from various conferences, including the European Conference on Technology-Enhanced Learning (EC-TEL). In this research, we present a comprehensive analysis that aims to identify and understand the evolving topics in the TEL area and their implications in defining the future of education. To achieve this, we use a novel methodology that combines a text-analytics-driven topic analysis and a social network analysis following an open science approach. We collected a comprehensive corpus of 477 papers from the last decade of the EC-TEL conference (including full and short papers), parsed them automatically, and used the extracted text to find the main topics and collaborative networks across papers. Our analysis focused on the following three main objectives: (1) Discovering the main topics of the conference based on paper keywords and topic modeling using the full text of the manuscripts. (2) Discovering the evolution of said topics over the last ten years of the conference. (3) Discovering how papers and authors from the conference have interacted over the years from a network perspective. Specifically, we used Python and PdfToText library to parse and extract the text and author keywords from the corpus. Moreover, we employed Gensim library Latent Dirichlet Allocation (LDA) topic modeling to discover the primary topics from the last decade. Finally, Gephi and Networkx libraries were used to create co-authorship and citation networks. Our findings provide valuable insights into the latest trends and developments in educational technology, underlining the critical role of sensor-driven technologies in leading innovation and shaping the future of this area.
A Spectrally Interrogated Polarimetric Optical Fiber Sensor for Current Measurement with Temperature Correction
Authors: Eftimov Tinko , Dyankov Georgi , Kolev Petar , Vladev Veselin
Published: November 2023

We report on a study of the temperature dependence of the response of a BSO crystal based polarimetric current sensor with spectral interrogation. Two possible interrogation schemes are discussed. The spectral dependence of the optical rotation along the crystal caused by temperature and current changes is investigated, and approximate dependences for the sensitivities to current SI and temperature ST are derived. A mixed term in the response with spectral interrogation is revealed, the elimination of which is achieved by tracking wavelength shifts Δλ1 and Δλ2 of two distinct extrema in the polarimetric response. A temperature independent second degree equation for the current changes ΔI as a function of the measured spectral shifts is derived and tested.
The Practical Application of Bio-Inspired PMA for the Detection of Partial Discharges in High Voltage Equipment
Authors: Cruz Josiel , Serres Alexandre , Freire Raimundo , Costa Edson , Xavier George , Oliveira Adriano , Souza Vladimir , Lazaridis Pavlos
Published: November 2023

In this paper, the practical application of a bio-inspired antenna for partial discharge (PD) detection in high voltage equipment was evaluated in order to validate the efficiency of using this technology for PD monitoring purposes. For this, PD measurements using the bio-inspired antenna were performed on operational 69 kV potential transformers (PT) in a real substation. After the field experiment, laboratory measurements using the IEC 60270 standard method and a bio-inspired antenna were performed, simultaneously, over the evaluated PT. The results obtained at the substation indicated suspicious frequencies of partial discharge activity in two out of three evaluated potential transformers, mainly for the frequencies of 461 MHz, 1366 MHz, 1550 MHz and 1960 MHz. During the laboratory tests, the presence of partial discharge activity over the suspicious potential transformers was confirmed with the detection of PD apparent charge levels above 20 pC. Finally, the frequency spectrum obtained from the PD signals detected by the bio-inspired antenna in the laboratory presented similar frequency values to those obtained during the practical application at the substation, making it a promising indicator for future defect classification studies using artificial intelligence.
PMSM Torque Ripple Suppression Method Based on SMA-Optimized ILC
Authors: Li Haoyu , Guo Yingqing , Xu Qiang
Published: November 2023

Periodic torque ripple often occurs in permanent magnet synchronous motors due to cogging torque and flux harmonic distortion, leading to motor speed fluctuations and further causing mechanical vibration and noise, which seriously affects the performance of the motor vector control system. In response to the above problems, a PMSM torque ripple suppression method based on SMA-optimized ILC is proposed, which does not rely on prior knowledge of the system and motor parameters. That is, an SMA is used to determine the optimal values of the key parameters of the ILC in the target motor control system, and then the real-time torque deviation value calculated by iterative learning is compensated to the system control current set end. By reducing the influence of higher harmonics in the control current, the torque ripple is suppressed. Research results show that this method has high efficiency and accuracy in parameter optimization, further improving the ILC performance, effectively reducing the impact of higher harmonics, and suppressing the torque ripple amplitude.
Italian Adaptation and Validation of the Fear of War Scale and the Impact of the Fear of War on Young Italian Adults’ Mental Health
Authors: Regnoli Giorgio Maria , Tiano Gioia , De Rosa Barbara
Published: November 2023

The return of war to Europe with the Russo-Ukrainian conflict generated mental health effects even in countries not directly involved in the war. The present study describes the Italian adaptation and validation of the Fear of War Scale (FOWARS), i.e., a 13-item Likert scale built by a Romanian research team and exploring the fear of war. For the Italian adaptation, a sample of 150 young Italian adults (aged 18–30, M = 21.7; SD = 2.2) has been collected. Exploratory Factor Analysis conducted with PCA confirmed the bifactorial structure of the scale and detected two dimensions, i.e., the “Physiological dimension of fear” and the “Experiential dimension of fear”. The results of the Confirmatory Factor Analysis show adequate goodness of fit and the last version of the scale, consisting of 12 items, shows good internal consistency and convergent and discriminant validity. Positive significant correlations with the Worry Domains Questionnaire (WDQ) and the Depression Anxiety and Stress Scale (DASS-21) were also found. Moreover, results from ANOVA display significant differences between men and women, with the latter showing higher values of fear of war. Finally, t-test analyses highlight the impact of the fear of war on Italian young adults’ mental health and worry. The Italian adaptation of FOWARS has good overall psychometric properties and can be used to explore the fear of war in the Italian young adult population to highlight the psychological impact of war and its relationship with mental health.
Mechanical and Thermal Properties of Sustainable Low-Heat High-Performance Concrete
Authors: Elmahdy Hager , Tahwia Ahmed M. , Elmasoudi Islam , Youssf Osama
Published: November 2023

One of the main drawbacks of utilizing mass concrete is the high amount of heat produced during the hydration of cementitious materials. Low-heat high-performance concrete (LHHPC) is a special type of concrete with low Portland cement content and low heat of hydration. The main aim of this research is to experimentally explore the potential use of blast furnace cement (CEM III) and fly ash (FA) in LHHPC. CEM III is a type of cement with low heat of hydration. FA was used at various dosages, namely 10%, 20%, 30%, and 40%, as a partial replacement of CEM III for producing more sustainable LHHPC. The mechanical and micro-structural characteristics of the LHHPC mixes were investigated. In addition, the concrete thermal conductivity and heat of hydration were predicted and compared using ANSYS finite element software. The experimental results showed that 40% FA as a CEM III partial replacement decreased the heat of hydration in LHHPC by 38.7%. In addition, the produced LHHPC showed low thermal conductivity, which indicates a decrease in early-age cracks. The produced LHHPC showed a constant compressive strength of 90 days compared with the corresponding 28-day compressive strength. The experimental results were supported by scanning electron microscope (SEM) analysis and the numerical analysis for the LHHPC. The 3D finite element model provided accurate predictions for temperature distribution. The results of this research indicated that FA and CEM III can successfully produce LHHPC with adequate strength and low heat of hydration.
Relationships between Thermal Environment and Air Pollution of Seoul’s 25 Districts Using Vector Autoregressive Granger Causality
Authors: Youn Jeemin , Kim Hyungkyoo , Lee Jaekyung
Published: November 2023

Rising temperatures and heightened air pollution are widespread across many parts of the world today. Despite some initial attempts for analysis, the intricate interconnection between the two still requires further investigation. This study focuses on Seoul, South Korea, by adopting vector-autoregressive-based Granger causality tests to unravel the nuances of these relationships at the district level. While bidirectional Granger causality links between temperature and urban heat island intensity, as well as between PM10 concentration and urban pollution island intensity, are found in many cases, our findings reveal diverse causal relationships that are evident in the districts. These findings underscore the necessity for evidence-based strategies to guide planners and policymakers in addressing the challenges of rising temperatures and air pollution in urban areas.
The Impact of Tourist Operant Resources on Online Citizenship Behavior in Sustainable Tourism
Authors: Liu Ting , Ma Chun , Xue Jiaqi , Li Gang , Lu Qiuli
Published: November 2023

Sustainability has emerged as a critical concern in the tourism industry. In sustainable tourism, the question of how to engage tourists in value co-creation has started to receive attention. Based on service-dominant logic, this paper develops an integrated model to reveal the impact of tourist operant resources on online citizenship behavior from the perspective of interactions between tourists and online travel agencies (OTAs). Empirical research is conducted using data collected from 301 tourists with customized sustainable tourism experiences. The results show that tourist operant resources are positively associated with online citizenship behavior, with the perceived value (functional value and emotional value) playing a partially mediating role in this relationship. Knowledge distance between tourists and OTA service personnel exerts an inverted U-shaped moderating effect on the relationship between tourist operant resources and functional values, but it does not have a moderating effect on the relationship between tourist operant resources and emotional values. Resource integration capability positively moderates the impact of tourist operant resources on functional and emotional values. This study reveals the contingency role of tourist operant resources in the entire value co-creation process in the context of sustainable tourism and provides practical guidance for OTAs to promote tourists’ online citizenship behavior to develop sustainable tourism.
Recommendation Systems for e-Shopping: Review of Techniques for Retail and Sustainable Marketing
Authors: Stalidis George , Karaveli Iphigenia , Diamantaras Konstantinos , Delianidi Marina , Christantonis Konstantinos , Tektonidis Dimitrios , Katsalis Alkiviadis , Salampasis Michail
Published: November 2023

In recent years, the interest in recommendation systems (RSs) has dramatically increased, as they have become main components of all online stores. The aims of an RS can be multifaceted, related not only to the increase in sales or the convenience of the customer, but may include the promotion of alternative environmentally friendly products or to strengthen policies and campaigns. In addition to accurate suggestions, important aspects of contemporary RSs are therefore to align with the particular marketing goals of the e-shop and with the stances of the targeted audience, ensuring user acceptance, satisfaction, high impact, and achieving sustained usage by customers. The current review focuses on RS related to retail shopping, highlighting recent research efforts towards enhanced e-shops and more efficient sustainable digital marketing and personalized promotion. The reported research was categorized by main approach, key methods, and specialized e-commerce problems addressed, while technological aspects were linked with marketing aspects. The increasing number of papers in the field showed that it has become particularly popular, following the explosive growth in e-commerce and mobile shopping. The problems addressed have expanded beyond the performance of the core algorithms to the business aspects of recommendation, considering user acceptance and impact maximization techniques. Technologies have also shifted from the improvement of classic filtering techniques to complex deep learning architectures, in order to deal with issues such as contextualization, sequence-based methods, and automatic feature extraction from unstructured data. The upcoming goals seem to be even more intelligent recommendations that more precisely adapt not only to users’ explicit needs and hidden desires but also to their personality and sensitivity for more sustainable choices.
Simulation of the Working Volume Reduction through the Bioconversion Model (BioModel) and Its Validation Using Biogas Plant Data for the Prediction of the Optimal Reactor Cleaning Period
Authors: Tsitsimpikou Maria-Athina , Kalamaras Sotirios D. , Lithourgidis Antonios A. , Mitsopoulos Anastasios , Ellegaard Lars , Angelidaki Irini , Kotsopoulos Thomas A.
Published: November 2023

The present study focuses on the working volume reduction of anaerobic reactors in biogas plants, which is caused by inorganic material accumulation and inadequate mixing and affects methane production and plant profitability. Precipitation phenomena lead to periodic reactor cleaning processes, which complicate the operation of the plant and increase its operating costs. For this purpose, the bioconversion model (BioModel) was utilized by modifying its conditions to accurately simulate the reduction of the working volume of a biogas plant facing precipitation problems for a study period of 150 days. The modified BioModel exhibited notable results in the prediction of methane production, with an average deviation of 1.97% from the plant’s data. After validation, based on the model results, an equation was set up to predict the optimal reactor cleaning period. Incidentally, the optimal cleaning time was calculated at 5.1 years, which is very close to the period during which the cleaning of the reactors of the studied biogas plant took place (5.5 years). The findings of this research showed that the modified BioModel, along with the developed equation, can be effectively used as a tool for the prediction of the optimal reactor cleaning period.
Facilitating Sustainable Career Development in Fragility: A Psycho-Linguistic Intervention for Employability of Individuals with Fragile Literacy Skills
Authors: Sartori Riccardo , Tommasi Francesco , Abu Hamam Fatima , Delfitto Denis , Vender Maria , Dal Maso Serena , Piccinin Sabrina , Ceschi Andrea
Published: November 2023

The brief report examines the burgeoning interest in sustainable career development by discussing the role of employability of individuals with fragile literacy skills, i.e., second-language learners (L2), and individuals with developmental dyslexia (DD). Considering sustainable career development as the umbrella of practices facilitating individuals flourishing, we aim to present an integrated flexible intervention to promote the employability of individuals with fragile literacy skills (DD and L2) that combines both the promotion of linguistic skills and psychological resources. Using an experimental research design, we tested our training intervention on language skills (reading and writing) coupled with psychological training intended to enhance psychological resources and psychological capital. A total of 38 individuals with DD took part in our examination (n = 22 in the experimental group) and n = 26 L2 (n = 11 in the experimental group). We measured employability skills and psychological capital pre and post our interventions both in the control and in the experimental groups. Our result show that the intervention led to a significant improvement in L2 and DD. We discuss our results and implications for research and practice.