bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Interplay of Pro-Environmental Attitudes, Dietary Choices, and Packaging Preferences: A Virtual Reality Restaurant Scenario Study
Authors: Farias Ana Rita , Lane Hakan , Killingsworth Jayanna , Warden Julia M. , Wais Sara
Published: December 2023

This research paper delves into the complex relationship between pro-environmental attitudes, dietary preferences, and packaging choices using a Virtual Reality (VR) restaurant scenario. The imperative is to address environmental concerns, particularly plastic waste and greenhouse gas emissions, as they pertain to sectors of the food service sector. This study seeks to understand the factors influencing environmental attitudes and behaviors, with a focus on dietary preferences and packaging choices using a VR restaurant scenario. This study explores connections between gender, education, interventions, and pro-environmental attitudes, as well as the correlation between vegetarian diets and sustainable behaviors. While the results suggest significant correlations between gender and pro-environmental attitudes and a potential connection between adopting vegetarian diets and pro-environmental attitudes, our study emphasizes the nuanced nature of these relationships. The findings underline the importance of interdisciplinary research and strategic interventions for fostering sustainable behaviors and reducing environmental impact. The use of VR simulation adds a novel dimension to understanding individuals’ choices in controlled environments, shedding light on the intricate dynamics of pro-environmental decision making. This paper contributes to the ongoing discourse on sustainable behavior by offering insights into the interplay between personal preferences, environmental awareness, and choices with significant environmental implications.
Global Analysis of the WOX Transcription Factor Family in Akebia trifoliata
Authors: Chen Shengpeng , Yang Huai , Zhang Yongle , Chen Chen , Ren Tianheng , Tan Feiquan , Luo Peigao
Published: December 2023

Akebia trifoliata is an economically important, self-incompatible fruit tree in the Lardizabalaceae family. Asexual propagation is the main strategy used to maintain excellent agronomic traits. However, the generation of adventitious roots during asexual propagation is very difficult. To study the important role of the WUSCHEL-related homeobox (WOX) transcription factor in adventitious root growth and development, we characterized this transcription factor family in the whole genome of A. trifoliata. A total of 10 AktWOXs were identified, with the following characteristics: length (657~11,328 bp), exon number (2~5), isoelectric point (5.65~9.03), amino acid number (176~361 AA) and molecular weight (20.500~40.173 kDa), and their corresponding expression sequence could also be detectable in the public transcriptomic data for A. trifoliata fruit. A total of 10 AktWOXs were classified into modern (6), intermediate (2) and ancient clades (2) and all AktWOXs had undergone strong purifying selection during evolution. The expression profile of AktWOXs during A. trifoliata adventitious root formation indicated that AktWOXs play an important role in the regulation of adventitious root development. Overall, this is the first study to identify and characterize the WOX family in A. trifoliata and will be helpful for further research on A. trifoliata adventitious root formation.
Environmental Impacts of Reinforced Concrete Buildings: Comparing Common and Sustainable Materials: A Case Study
Authors: Chamasemani Niyousha Fallah , Kelishadi Massih , Mostafaei Hasan , Najvani Mohammad Amin Dehghani , Mashayekhi Mohammadreza
Published: December 2023

The world is currently grappling with the two critical issues of global warming and climate change, which are primarily caused by the emission of greenhouse gases. The construction industry and buildings significantly contribute to these emissions, accounting for roughly 40% of the total greenhouse gas emissions. In response to this pressing issue, environmental organizations and governments have pushed the construction industry to adopt environmentally friendly practices to reduce their carbon footprint. This has led to a greater emphasis on designing and planning sustainable buildings that are in line with the principles of sustainable development. Hence, it is imperative to evaluate buildings in terms of their greenhouse gas emissions and explore ways to reduce them. This research examines the impact of material selection on the carbon footprint of reinforced concrete buildings, aiming to reduce embodied carbon. For this purpose, two reinforced concrete buildings are designed for their embodied carbon to quantify their environmental impact. The first building employs commonly used materials such as ceramics, clay bricks, stone, and plaster. In contrast, the second building incorporates sustainable materials such as cork, plywood, and rockwool. According to the findings, using sustainable materials in the second building leads to a 41.0% reduction in the carbon footprint of the construction process. Additionally, using sustainable materials can mitigate pollution levels in the three categories of endangerment to human health, ecosystem pollution, and resource consumption by 31.4%, 23.7%, and 33.3%, respectively.
Integrating Point-of-Care Bacterial Fluorescence Imaging-Guided Care with Continued Wound Measurement for Enhanced Wound Area Reduction Monitoring
Authors: Derwin Rosemarie , Patton Declan , Strapp Helen , Moore Zena
Published: December 2023

Aim: This prospective observational study investigated wound area reduction (WAR) outcomes in a complex wound population composed of non-healing acute and chronic wounds. The relationship between bacterial autofluorescence signals and WAR was investigated. Area measurements were collected both manually and digitally, and both methods were compared for accuracy. Methods: Twenty-six participants with 27 wounds of varying etiologies were observed twice weekly for two weeks. Digital wound measurement, wound bacterial status assessment, and targeted debridement were performed through a point-of-care fluorescence imaging device (MolecuLight® i: X, MolecuLight Inc, Toronto, Canada). The wound area reduction (WAR) rate was calculated using baseline and last visit measurements. Statistical analyses, including t-tests, Fisher exact tests, the Wilcoxon signed rank test for method comparison, and ANOVA for bacterial subgroups, were applied as pertinent. Results: The overall average WAR was −3.80 cm2, or a decrease of 46.88% (manual measurement), and −2.62 cm2, or a 46.05% decrease (digital measurement via MolecuLight® device). There were no statistically significant differences between the WAR of acute and chronic wounds (p = 0.7877). A stepwise correlation between the WAR and bacterial status classification per fluorescence findings was observed, where persistent bacteria resulted in worse WAR outcomes. An overestimation of wound area by manual measurement was 23% on average. Conclusion: Fluorescence imaging signals were linked to WAR outcome and could be considered predictive. Wounds exhibiting bacterial loads that persisted at the end of the study period had worse WAR outcomes, while those for which management was able to effectively remove them demonstrated greater WAR. Manual measurement of the wound area consistently overestimated wound size when compared to digital measurement. However, if performed by the same operator, the overestimation was uniform enough that the WAR was calculated to be close to accurate. Notwithstanding, single wound measurements are likely to result in overestimation.
Effect of Punctal Occlusion on Blinks in Eyes with Severe Aqueous Deficient Dry Eye
Authors: Kato Hiroaki , Yokoi Norihiko , Watanabe Akihide , Komuro Aoi , Sonomura Yukiko , Sotozono Chie , Kinoshita Shigeru
Published: December 2023

Punctal occlusion (PO) is considered to improve both tear-film instability and increased friction during blinking and may consequently affect blinks. The purpose of this study was to investigate the effect of PO on blinks. This study involved 16 eyes of 16 severe aqueous deficient dry eye (ADDE) patients (mean age: 65.7 years). In all eyes, tear meniscus radius (TMR), spread grade (SG) of the tear-film lipid layer (i.e., SG 1-5: 1 being the best), fluorescein break-up time (FBUT), corneal epithelial damage score (CED), conjunctival epithelial damage score, corneal filament (CF) grade, lid-wiper epitheliopathy (LWE) grade, and superior limbic keratoconjunctivitis (SLK) grade were evaluated at before and at more than 1-month after PO. Moreover, using a custom-made high-speed blink analyzer, palpebral aperture height, blink rate, upper-eyelid closing-phase amplitude/duration/maximum velocity, and upper-eyelid opening-phase amplitude/duration/maximum velocity were measured at the same time point. After PO, TMR, SG, FBUT, CED, and the CF, LWE, and SLK grades were significantly improved, and upper-eyelid opening/closing-phase amplitude and maximum velocity significantly increased (all p < 0.04). The findings of this study suggest that PO improves ocular surface lubrication and that blink-related parameters can reflect the friction that occurs during blinking in eyes with severe ADDE.
Evaluation of Rheumatic Diseases Affecting the Temporomandibular Joint: A Cone Beam Computed Tomography Study and Literature Review
Authors: Semerci Zeliha Merve , Günen Yılmaz Sevcihan
Published: December 2023

Introduction: Due to the silent manifestation of temporomandibular joint (TMJ), dentists and rheumatologists may neglect treatment for this joint. Aims: The aim of this study was to investigate the TMJ components in patients with various rheumatic diseases and to compare them with a control group based on cone beam computed tomography (CBCT) images. Materials and Methods: This study comprised an assessment of the CBCT images of 65 patients (130 temporomandibular joints) with various rheumatic diseases (mostly rheumatoid arthritis) affecting the TMJ. Moreover, 65 patients (130 temporomandibular joints) with a similar age and gender distribution were examined as the control group. Pathologies were classified into a total of 12 types for the presence of any osseous changes in the condylar head or articular fossa or for joint space narrowing. Statistical analysis of all data was performed with SPSS version 18. The conformity of continuous variables to a normal distribution was examined by the Kolmogorov–Smirnov test. The Mann–Whitney U test was used to compare the means of two independent groups. The Pearson Chi-square test, Yates correction and Fisher’s exact test were used in the analysis of categorical variables. Results: The mean age of the patient and control groups was 50 ± 13 and 48 ± 16, respectively, and no statistically significant difference was found between the patient and control groups in terms of age distribution (p = 0.123). Condylar erosion, condylar flattening, subcondylar sclerosis, osteophytes, subcortical cysts, articular eminence resorption and articular eminence flattening rates were found to be statistically significantly higher in the patient group than in the control group (p < 0.05). Conclusions: Dentomaxillofacial radiologists should examine the bony components of the TMJ in patients with rheumatic diseases, and a multidisciplinary approach involving a dental specialist and rheumatologist is required.
Pain Management during Bromelain-Based Enzymatic Debridement (NexoBrid®) in a USA Adult Burn Center
Authors: Buta Martin R. , Annand Domenic , Findeisen Sarah , Hickey Sean A. , Sheridan Robert L. , Friedstat Jonathan S. , Schulz John T. , Bojovic Branko , Bittner Edward A. , Goverman Jeremy
Published: December 2023

Outside the United States, bromelain-based enzymatic debridement (BBED) has become an effective tool for the removal of burn eschar. A primary concern with BBED is that it is a painful procedure requiring appropriate analgesia. The purpose of this study was to describe our experience using NexoBrid® (NXB), with a particular focus on pain management. We performed a retrospective review on all 32 adult burn patients enrolled at our institution as part of a multicenter phase 3 clinical trial (DETECT) or the expanded access treatment protocol (NEXT). All patients underwent BBED with NXB of acute deep partial- and full-thickness thermal burn wounds at a major burn center between November 2016 and February 2023. Thirty-two patients with an average age of 42.1 years (SD = 17.4, range 18–72) and an average TBSA of 6.3% (SD = 5.9, range 1–24.5) underwent a total of 33 BBED procedures. Only one patient required an additional NXB treatment, and all patients achieved >95% eschar removal. For pain control during debridement, seven patients required a local block (LB), nine a regional block (RB), and thirteen conscious sedation (CS). Three patients were intubated (INTB) for their burn injury prior to the procedure. There was no statistical difference in Numerical Pain Rating Scale (NPRS) scores during vs. before treatment or after vs. before treatment for all patients or when subdivided by BMI, race, TBSA, total area treated, and anesthetic type (LB, RB, and CS). With appropriate analgesia, the pain associated with BBED of acute deep partial- and full-thickness thermal burns is well tolerated.
Teachers’ Evaluation of the Usability of a Self-Assessment Tool for Mobile Learning Integration in the Classroom
Authors: Balanyà Rebollo Judith , De Oliveira Janaina Minelli
Published: December 2023

This article explores teachers’ perceptions of a self-assessment tool designed to guide the integration of mobile devices into teaching and learning processes. Using the Educational Design Research (EDR) methodology with a quantitative analysis approach, the study sampled 228 teachers across 60 educational institutions at varying levels of education. Participants used the self-assessment tool to gauge their own competencies and identify areas for improvement. They then completed the “System Usability Scale” (SUS) questionnaire, a reliable metric with a 0.96 reliability score commonly used for evaluating educational tools. The results indicate moderate to high acceptance of the self-assessment tool, with an average SUS score of 70.65. The study also reports a Net Promoter Score (NPS) of 22.4, with approximately 43% of teachers as promoters of the tool. Interestingly, usability scores displayed variability among teachers in the early stages of primary education (6–8 years), ranging from 47.50 to 77.50. However, scores improved in more advanced stages, showing an increase of over 40%. The findings suggest that the tool is generally effective and useful for teachers, providing valuable insights for its wider application.
Impact of Pre-Annealed ZrO2 Interfacial Layer on the Ferroelectric Behavior of Hf0.5Zr0.5O2
Authors: Yuan Xiaobo , Liu Zongfang , Qi Jiabin , Xiao Jinpan , He Huikai , Tang Wentao , Lee Choonghyun , Zhao Yi
Published: December 2023

This work systematically investigates the impact of a pre-annealed ZrO2 interfacial layer on the ferroelectric behavior of Hf0.5Zr0.5O2 (HZO) capacitors. The remanent polarization (2Pr) value of HZO capacitors, including configurations such as W/HZO/TiN/p+ Si, W/HZO/(pre-annealed) ZrO2/TiN/p+ Si, W/HZO/SiO2/TiN/p+ Si, and W/HZO/SiO2/p+ Si, exhibits significant variations. The W/HZO/(pre-annealed) ZrO2/TiN/p+ Si capacitor demonstrates superior ferroelectric performance, with a 2Pr value of ~32 µC/cm2. Furthermore, by optimizing the thickness combination of HZO and the pre-annealed ZrO2 interfacial layer, a capacitor with a 10 nm HZO and 2 nm ZrO2 achieves the largest 2Pr value. The pre-annealing process applied to ZrO2 is found to play a very important role in inducing the orthorhombic phase and thus enhancing ferroelectricity. This enhancement is attributed to the pre-annealed 2 nm ZrO2 interfacial layer acting as a structural guide for the subsequent HZO orthorhombic phase, thereby improving the ferroelectric performance of HZO capacitors. These findings provide a comprehensive explanation and experimental verification of the impact of pre-annealed ZrO2 on ferroelectric devices, offering novel insights for the optimization of ferroelectric properties.
A Study on Toponymic Entity Recognition Based on Pre-Trained Models Fused with Local Features for Genglubu in the South China Sea
Authors: Wei Yinwei , Li Yihong , Zhou Xiaoyi
Published: December 2023

Toponymic entity recognition is currently a critical research hotspot in knowledge graphs. Under the guidance of the national ancient book protection policy and the promotion of the wave of digital humanities research, this paper proposes a toponymic entity recognition model (ALBERT-Conv1D-BiLSTM-CRF) based on the fusion of a pre-trained language model and local features to address the problems of toponymic ambiguity and the differences in ancient and modern grammatical structures in the field of the Genglubu. This model extracts global features with the ALBERT module, fuses global and local features with the Conv1D module, performs sequence modeling with the BiLSTM module to capture deep semantics and long-distance dependency information, and finally, completes sequence annotation with the CRF module. The experiments show that while taking into account the computational resources and cost, this improved model is significantly improved compared with the benchmark model (ALBERT-BiLSTM-CRF), and the precision, recall, and F1 are increased by 0.74%, 1.28%, and 1.01% to 98.08%, 96.67%, and 97.37%, respectively. The model achieved good results in the field of Genglubu.
Rain Attenuations Based on Drop Size Distribution (DSD) Model and Empirical Model at Low THz Frequencies
Authors: Kim Yongho , Kim Jongho , Oh Jinhyung , Yoon Youngkeun , Park Sangwook , Lee Jaegon
Published: December 2023

Rain attenuation based on the drop size distribution (DSD) with different rainfall rates (R) at low THz frequencies is investigated in this paper. The rain attenuation is calculated using the DSD measured for one year and the extinction cross-section (ECS) by the Mie scattering theory. Moreover, the obtained specific rain attenuation is verified by the empirical model using the measurement system consisting of a transmitter, a receiver, and weather measurement units. We measured the received power against the uniform transmitted power at 240, 270, and 300 GHz on the rooftop of the National Radio Research Agency (RRA) in Korea during the same period as the DSD measurement period. After curve fitting by regression analysis, we compared both rain attenuations obtained in two methods with the recommendation International Telecommunication Union Radiocommunication Sector (ITU-R) P.838-3. The root mean square errors (RMSEs) of the DSD model are 2.8977, 2.8646, and 2.8331 at 240, 270, and 300 GHz, respectively. The calculated result using the Mie scattering and the measured DSD methods shows the best fit to the data of the ITU-R recommendation for a rainfall rate of up to 5 mm/h. On the other hand, the empirical results using the T/Rx antenna system are slightly higher compared to the data of the ITU-R recommendation. As the rainfall rate increases, the difference between our results and ITU-R recommendation increases. This study will be useful for predicting rain attenuation for terrestrial wireless links operating at low THz frequencies.
Oral vs. Touch Interaction for Cognitive Assessment: Acceptance and Perceived Usability by Senior Adults
Authors: Pacheco Lorenzo Moisés , Lago Priego Noelia , Fernández Iglesias Manuel José , Anido Rifón Luis , Otero-González Iván
Published: December 2023

There is a digital divide between senior adults and the general population because of the disparity in access and usage of digital technologies, including the internet and modern devices, often stemming from factors like age, familiarity, and socioeconomic status. Yet, technology is increasingly penetrating the healthcare sector in areas such as screening, diagnosis, treatment, and follow-up. This study focuses on investigating how older adults perceive the introduction of new devices in the screening and diagnosis of cognitive impairment. For this, a perception study was carried out involving 25 senior adults, 16 women and 9 men, aged between 60 and 93 years, living in the Vigo area, Spain. First, the perception and acceptability of popular technological devices were evaluated by means of the technology acceptance model. Then, participants’ perceptions about the use of smart speakers and tablets for cognitive evaluation were analyzed, both before and after interacting with such devices. Finally, the perception of their caregivers about these tools was also studied. These instruments were found to be useful and enjoyable by older adults. More specifically, smart speakers were preferred by participants over traditional tests for detecting cognitive decline. Additionally, there were no significant differences in the perception of utility, ease of use, or enjoyment between tablets and smart speakers. Participants’ caregivers also reported an overall positive perception about the introduction of these new tools for cognitive assessment. In any case, the study provided evidence to support the introduction of both tablets and smart speakers to interact with older adults, and more specifically, as a means to facilitate the early detection and screening of cognitive decline.
A Novel Scheduling Algorithm for Improved Performance of Multi-Objective Safety-Critical WSN Using Spatial Self-Organizing Feature Map
Authors: Al-Nader Issam , Lasebae Aboubaker , Raheem Rand
Published: December 2023

Technological advances in the internet of things (IoT) allowed a low-cost, yet small sensor device to operate with limited power in a dynamic harsh environment where human intervention is impossible. The wireless sensor network (WSN) is an example of the IoT in which physical devices’ software and sensors can interconnect to provide application services. It is important that such applications be dependable to meet the required quality of service (QoS) and function as expected. Consequently, the multi-objective optimization (MOO) problem in WSNs aims to address the trade-off among coverage, connectivity, and network lifetime requirements. Node scheduling is one approach of many used to optimize energy in WSNs. The contribution of this work is the proposal of a self-organizing feature map (SOFM) to enhance the node scheduling in WSNs. The proposed SOFM node-scheduling algorithm aims to spatially explore the state space domain and obtain an optimal solution. In our experiment, the proposed SOFM node-scheduling algorithm is evaluated against a comparable algorithm, namely the BAT node-scheduling algorithm, via MATLAB simulator. The results showed that the SOFM node-scheduling algorithm outperformed the latter by 27% and 28% for the maximum and minimum coverage, respectively, with similar performance of 99% of connectivity and network lifetime.
Implementation of Buck DC-DC Converter as Built-In Chaos Generator for Secure IoT
Authors: Tjukovs Sergejs , Surmacs Daniils , Grizans Juris , Iheanacho Chukwuma Victor , Pikulins Dmitrijs
Published: December 2023

Resource-constrained but widely deployed IoT devices require a new approach to ensure secure and reliable communications. That is why, in recent years, the paramount effort has been applied in lightweight cryptography. Because of its unpredictable nature, chaos is regarded as a potential candidate in cryptographic applications. Chaos mode of operation is observed not only in deliberately designed oscillators but also in switching DC-DC converters, which are part of almost every embedded design. The use of a built-in chaos source may improve performance, energy consumption, PCB area, and cost of IoT devices. In this research, the regions of robust chaos were identified using numerical analysis, and the performance of a real buck DC-DC converter under peak-current-mode control was studied experimentally. It was shown that a compensating ramp acts as a switch between different operating regimes. Despite minor performance degradation, chaos mode can be used for secure communications in IoT networks.
Improved Test Input Prioritization Using Verification Monitors with False Prediction Cluster Centroids
Authors: Hwang Hyekyoung , Chun Il Yong , Shin Jitae
Published: December 2023

Deep learning (DL) systems have been remarkably successful in various applications, but they could have critical misbehaviors. To identify the weakness of a trained model and overcome it with new data collection(s), one needs to figure out the corner cases of a trained model. Constructing new datasets to retrain a DL model requires extra budget and time. Test input prioritization (TIP) techniques have been proposed to identify corner cases more effectively. The state-of-the-art TIP approach adopts a monitoring method to TIP and prioritizes based on Gini impurity; one estimates the similarity between a DL prediction probability and uniform distribution. This letter proposes a new TIP method that uses a distance between false prediction cluster (FPC) centroids in a training set and a test instance in the last-layer feature space to prioritize error-inducing instances among an unlabeled test set. We refer to the proposed method as DeepFPC. Our numerical experiments show that the proposed DeepFPC method achieves significantly improved TIP performance in several image classification and active learning tasks.
Radiation Force Modeling for a Wave Energy Converter Array
Authors: Husain Salman , Parker Gordon G. , Forehand David , Anderlini Enrico
Published: December 2023

The motivation and focus of this work is to generate passive transfer function matrices that model the radiation forces for an array of WECs. Multivariable control design is often based on linear time-invariant (LTI) systems such as state-space or transfer function matrix models. The intended use is for designing real-time control strategies where knowledge of the model’s poles and zeros is helpful. This work presents a passivity-based approach to estimate radiation force transfer functions that accurately replace the convolution operation in the Cummins equation while preserving the physical properties of the radiation function. A two-stage numerical optimization approach is used, the first stage uses readily available algorithms for fitting a radiation damping transfer function matrix to the system’s radiation frequency response. The second stage enforces additional constraints on the form of the transfer function matrix to increase its passivity index. After introducing the passivity-based algorithm to estimate radiation force transfer functions for a single WEC, the algorithm was extended to a WEC array. The proposed approach ensures a high degree of match with the radiation function without degrading its passivity characteristics. The figures of merit that will be assessed are (i) the accuracy of the LTI systems in approximating the radiation function, as measured by the normalized root mean squared error (NRMSE), and (ii) the stability of the overall system, quantified by the input passivity index, ν, of the radiation force transfer function matrix.
The Novel Approach of Using Electric Vehicles as a Resource to Mitigate the Negative Effects of Power Rationing on Non-Residential Buildings
Authors: Zagrajek Krzysztof , Kłos Mariusz , Rasolomampionona Desire D. , Lewandowski Mirosław , Pawlak Karol
Published: December 2023

This paper presents the concept of using electric vehicles (EVs) as a countermeasure to deal with the negative effects of power rationing when electricity demands become difficult to meet due to unfavorable electrical system operating conditions. At present, an energy storage is widely used to maintain the stability of electricity supply in facilities whose main source of energy is renewable energy sources (RESs). However, we must not forget that electric vehicles are also electricity storage facilities, but they are not always available due to their mobility. With properly developed strategies, they can be used in electricity management processes, for example, by reducing their consumption during charging using smart charging technology, or by providing electricity from their batteries using vehicle-to-building (V2B) technology. Thus, this article presents a research methodology that treats electric vehicles as a remedy for eliminating power constraints. It consists of five main steps, including two algorithms for deciding how to deploy EVs during power rationing periods. An efficiency factor for eliminating these constraints was also introduced. The results showed that the use of smart charging or V2B technology in EVs can reduce the number of potential hours in which certain power levels are exceeded by up to several tens of percent. This means that in the future, with the significant development of electromobility, such a way of dealing with power constraints could be an alternative to conventional solutions like diesel generators.
Conservation Genetics of the Only Honeysuckle Azalea (Rhododendron luteum) Population Present in Greece
Authors: Aravanopoulos F. A. , Tourvas N. , Fotsinos S. , Michailidou C. , Antoniadi A.
Published: December 2023

Honeysuckle azalea (Rhododendron luteum) has only a single population occurrence in Greece, on Lesvos Island of the north-eastern Aegean Sea. The genetic diversity of this population was studied in a population of n = 37 individuals randomly sampled in a transect spanning between the highest and lowest natural altitudinal distribution limits in Mt. Ordymnos, SW Lesvos. A modified DNA extraction and isolation protocol was used to overcome problems of DNA quality due to secondary metabolite activity. Genetic variation was investigated based on molecular Inter Simple Sequence Repeat (ISSR) markers. Results showed the presence of a sufficient amount of genetic diversity for the maintenance of adaptive potential. Genetic diversity was lower but comparable to that of other Rhododendron species sampled from the centre of their natural distribution, despite the relatively small population size, negative anthropogenic pressure and population isolation due to the island environment. Some structuring of genetic diversity was indicated based on a PCoA analysis and the genetic distance dendrogram, while spatial autocorrelation was highly significant. Results point towards the need to assign a protection status to the whole area of the species’ natural distribution on Lesvos Island. Moreover, it is proposed that an in situ Gene Conservation Unit (GCU) be established in the core of this population in Lesvos as part of the Network of the European Forest Genetic Resources Programme, while the establishment of ex situ conservation is also advised.
QPWS Feature Selection and CAE Fusion of Visible/Near-Infrared Spectroscopy Data for the Identification of Salix psammophila Origin
Authors: Ma Yicheng , Li Ying , Peng Xinkai , Chen Congyu , Li Hengkai , Wang Xinping , Wang Weilong , Lan Xiaozhen , Wang Jixuan , Pei Zhiyong
Published: December 2023

Salix psammophila, classified under the Salicaceae family, is a deciduous, densely branched, and erect shrub. As a leading pioneer tree species in windbreak and sand stabilization, it has played a crucial role in combating desertification in northwestern China. However, different genetic sources of Salix psammophila exhibit significant variations in their effectiveness for windbreak and sand stabilization. Therefore, it is essential to establish a rapid and reliable method for identifying different Salix psammophila varieties. Visible and near-infrared (Vis-NIR) spectroscopy is currently a reliable non-destructive solution for origin traceability. This study introduced a novel feature selection strategy, called qualitative percentile weighted sampling (QPWS), based on the principle of the long tail effect for Vis-NIR spectroscopy. The core idea of QPWS combines weighted sampling and percentage wavelength selection to identify key wavelengths. By employing a multi-threaded parallel execution of multiple QPWS instances, we aimed to search for the optimal feature bands to address the instability issues that can arise during the feature selection process. To address the problem of reduced prediction performance in one-dimensional convolutional neural network (1D-CNN) models after feature selection, we have introduced convolutional autoencoders (CAEs) to reduce the dimensions of wavelengths that are discarded during feature selection. Subsequently, these reduced dimensions are fused with the selected wavelengths, thereby enhancing the model’s performance. With our completed model, we selected outstanding models for model fusion and established a decision system for Salix psammophila. It is worth noting that all 1D-CNN models in this study were developed using Bayesian optimization methods. In comparison with principal component analysis (PCA) and full spectrum methods, QPWS exhibits superior predictive performance in the field of machine learning. In the realm of deep learning, the fusion of data combining QPWS with CAE demonstrated even greater potential with an improvement of average accuracy of approximately 2.13% when compared to QPWS alone and a 228% increase in operational speed compared to a model with full spectra. These results indicated that the combination of CAE with QPWS can be an effective tool for identifying the origin of Salix psammophila.
Current State-of-the-Art Spectroscopic and Chromatographic Techniques Utilized in Food Authenticity and Food Traceability
Authors: Esposito Giovanna , Pezzolato Marzia
Published: December 2023

Food products are heterogeneous and complex matrices characterized by various compounds and in variable proportions [...]
Simple Purification and Antimicrobial Properties of Bacteriocin-like Inhibitory Substance from Bacillus Species for the Biopreservation of Cheese
Authors: Kim Jong-Hui , Lee Eun-Seon , Kim Bu-Min , Ham Jun-Sang , Oh Mi-Hwa
Published: December 2023

Bacteriocins may be used as natural preservatives and antibiotic substitutes in various foods. However, the multistep purification process of bacteriocins results in high production costs, which is an obstacle to their commercial use and consumer accessibility. In this study, a bacteriocin-like inhibitory substance (BLIS) from Bacillus spp. isolated from Korean fermented foods was partially purified using the aqueous two-phase system (ATPS). The maximum activity of the BLIS was achieved for ATPS composed of PEG 1000 (15% [w/w])/ammonium sulfate (20% [w/w])/sodium chloride (2% [w/w]), which caused BLIS activity to increase by 3 times with a 99% recovery rate. In particular, B. amyloliquefaciens Y138-6 BLIS exhibited broad antibacterial activity, high resistance to acid-base stress, and excellent thermal stability. This antibacterial substance inhibited the growth of aerobic bacteria and fungi on the walls of cheese and ripening rooms. These antibacterial properties have been shown to increase food safety and have the potential for use as biopreservatives. Moreover, considering that the execution of the ATPS requires only salts and PEG, it is a simple, environmentally friendly, and cost-effective process and may have industrial applications in the recovery of BLIS from fermentation broth.
Ezetimibe Induces Paraptosis through Niemann–Pick C1-like 1 Inhibition of Mammalian-Target-of-Rapamycin Signaling in Hepatocellular Carcinoma Cells
Authors: Yin Yuting , Wu Chun , Zhou Yufeng , Zhang Meiyin , Mai Shijuan , Chen Minshan , Wang Hui-Yun
Published: December 2023

Currently, hepatocellular carcinoma (HCC) is characterized by its unfavorable prognosis and resistance to conventional chemotherapy and radiotherapy. Drug repositioning, an approach aimed at identifying novel therapeutic applications for existing drugs, presents a cost-effective strategy for developing new anticancer agents. We explored the anticancer properties of Ezetimibe, a widely used oral lipid-lowering drug, in the context of HCC. Our findings demonstrate that Ezetimibe effectively suppresses HCC cell proliferation through paraptosis, an apoptotic-independent cell death pathway. The examination of HCC cells lines treated with Ezetimibe using light microscopy and transmission electron microscopy (TEM) showed cytoplasmic vacuolation in the perinuclear region. Notably, the nuclear membrane remained intact in both Ezetimibe-treated and untreated HCC cell lines. Probe staining assays confirmed that the cytoplasmic vacuoles originated from dilated endoplasmic reticulum (ER) compartments rather than mitochondria. Furthermore, a dose-dependent accumulation of reactive oxygen species (ROS) was observed in Ezetimibe-treated HCC cell lines. Co-treatment with the general antioxidant NAC attenuated vacuolation and improved cell viability in Ezetimibe-treated HCC cells. Moreover, Ezetimibe induced paraptosis through proteasome activity inhibition and initiation of the unfolded protein response (UPR) in HCC cell lines. In our in vivo experiment, Ezetimibe significantly impeded the growth of HCC tumors. Furthermore, when combined with Sorafenib, Ezetimibe exhibited a synergistic antitumor effect on HCC cell lines. Mechanistically, Ezetimibe induced paraptosis by targeting NPC1L1 to inhibit the PI3K/AKT/mTOR signaling pathway. In conclusion, our study highlights the potential of Ezetimibe as an anticancer agent by triggering paraptosis in HCC cells.
PGT-M for Premature Ovarian Failure Related to CGG Repeat Expansion of the FMR1 Gene
Authors: Persico Tiziana , Tranquillo Maria Lucrezia , Seracchioli Renato , Zuccarello Daniela , Sorrentino Ugo
Published: December 2023

Primary ovarian failure (POF) is caused by follicle exhaustion and is associated with menstrual irregularities and elevated gonadotropin levels, which lead to infertility before the age of 40 years. The etiology of POI is mostly unknown, but a heterogeneous genetic and familial background can be identified in a subset of cases. Abnormalities in the fragile X mental retardation 1 gene (FMR1) are among the most prevalent monogenic causes of POI. These abnormalities are caused by the expansion of an unstable CGG repeat in the 5′ untranslated region of FMR1. Expansions over 200 repeats cause fragile X syndrome (FXS), whereas expansions between 55 and 200 CGG repeats, which are defined as a fragile X premutation, have been associated with premature ovarian failure type 1 (POF1) in heterozygous females. Preimplantation genetic testing for monogenic diseases (PGT-M) can be proposed when the female carries a premutation or a full mutation. In this narrative review, we aim to recapitulate the clinical and molecular features of POF1 and their implications in the context of PGT-M.
Reproducible Method for 1-Methylcylopropene (1−MCP) Application and Quantitation for Post-Harvest Research
Authors: Stowe Evan , Mattinson Dennis Scott , Blauer Jacob Michael , Dhingra Amit
Published: December 2023

Actively combating post-harvest food spoilage and waste can dramatically increase the efficiency of food utilization worldwide. In climacteric fruits, chemical treatments such as 1−MCP are an effective way of reducing post-harvest spoilage and waste by inhibiting the fruit’s ability to perceive ethylene. 1−MCP treatment is increasingly being used to explore the complex nature of ripening physiology at a fundamental level; however, differences in application and quantitation methods create difficulties in comparing conclusions across studies. Here, we report an effective and reproducible method for 1−MCP application and quantitation for small–medium-sized research applications. By use of surrogate alkene standards 1-butene and cis-2-butene, the highly volatile and elusive 1−MCP molecule can be identified and quantified by gas chromatography and subsequent standard curves may be developed. It is hoped that the methodology outlined here can help standardize consistent 1−MCP application for post-harvest research without excessive investment in specialized equipment.
Trends and Spatiotemporal Patterns of Avian Influenza Outbreaks in Italy: A Data-Driven Approach
Authors: Branda Francesco , Mazzoli Sandra , Pierini Massimo , Ciccozzi Massimo
Published: December 2023

In recent years, the unprecedented spread of the Avian Influenza Viruses (AIVs) among birds and mammals has caused devastation in animal populations, including poultry, wild birds, and some mammals, damaging farmers’ livelihoods and the food trade. Given the urgency of the situation, it is particularly important that scientists and the public can access research results and data as soon as possible. The main aim of this study is to present a global open-access dataset of Avian Influenza outbreaks to enable researchers and policymakers (i) to rapidly detect, and respond to animal outbreaks as the first line of defense; (ii) to conduct epidemiological and virological investigations around animal outbreaks and human infections; and (iii) to communicate the risk. We show the potential use of this dataset to the research community by analyzing the most updated information on past and current Highly Pathogenic Avian Influenza (HPAI) outbreaks in domestic poultry and wild birds over the period from October 2021 to July 2023 in Italy. In addition, we applied indices borrowed from Economics (such as Homogeneity, Specialization, and Location Index) to the wild birds dataset to show their possible usage in epidemiology.
Differences in Screen Addiction in the Past 15 Years
Authors: Aragay Núria , Vallès Vicenç , Ramos-Grille Irene , Garrido Gemma , Grimalt Enric Gamundi , Miranda Ruiz Elena , Jovell-Fernández Esther
Published: December 2023

The use of information and communication technologies (ICTs) has become widespread in recent years, leading to an increase in addiction cases. A total of 118 patients who attended the Behavioral Addictions Unit of Consorci Sanitari de Terrassa (Barcelona, Spain) between October 2005 and December 2021 were included in the study. The sample was divided into three groups according to the time period in which they started treatment: between 2005 and 2010 (before the rise in new technologies, named the pre-ICT period), between 2011 and 2019 (a time of major ICT development, named the ICT period) and between 2020 and 2021 (with massive use of the internet due to effects of the pandemic, named the COVID-19 period). We found an increase in the incidence of screen addiction cases related to the development of technology throughout the study years, and this increase was accentuated during the COVID-19 period. This increase was not equal for all types of content consumed via the internet, with patients with video game addiction increasing to a greater extent than patients with internet/social network addiction. In addition, patients with video game addiction were younger and had started gaming at a younger age than those with internet/social network addiction. These results contribute to a better understanding of the phenomenon of technology addiction and to the design of appropriate treatment protocols and preventive programs.
Classification of Obesity among South African Female Adolescents: Comparative Analysis of Logistic Regression and Random Forest Algorithms
Authors: Sewpaul Ronel , Awe Olushina Olawale , Dogbey Dennis Makafui , Sekgala Machoene Derrick , Dukhi Natisha
Published: December 2023

Background: This study evaluates the performance of logistic regression (LR) and random forest (RF) algorithms to model obesity among female adolescents in South Africa. Methods: Data was analysed on 375 females aged 15–17 from the South African National Health and Nutrition Examination Survey 2011/2012. The primary outcome was obesity, defined as body mass index (BMI) ≥ 30 kg/m2. A total of 31 explanatory variables were included, ranging from socio-economic, demographic, family history, dietary and health behaviour. RF and LR models were run using imbalanced data as well as after oversampling, undersampling, and hybrid sampling of the data. Results: Using the imbalanced data, the RF model performed better with higher precision, recall, F1 score, and balanced accuracy. Balanced accuracy was highest with the hybrid data (0.618 for RF and 0.668 for LR). Using the hybrid balanced data, the RF model performed better (F1-score = 0.940 for RF vs. 0.798 for LR). Conclusion: The model with the highest overall performance metrics was the RF model both before balancing the data and after applying hybrid balancing. Future work would benefit from using larger datasets on adolescent female obesity to assess the robustness of the models.
Areas of Crime in Cities: Case Study of Lithuania
Authors: Beconytė Giedrė , Gružas Kostas , Spiriajevas Eduardas
Published: December 2023

In all countries, cities and their suburbs are the most densely populated areas. They are also the places visited by the largest number of tourists and one-day visitors, who inevitably run the risk of becoming victims of crime. It is, therefore, important, not only at national but also at the international level, to know the structure of urban crime and identify urban areas that differ in terms of their criminogenic situation. This requires a geographical approach and regionalisation based on the quantitative data that can offer it. This paper presents the results of a study using big data regarding violent crime, property crime and infringements against public order registered by the police in 2020 in the territories of three major Lithuanian cities and their suburbs (n = 149,239). Events in open spaces were separately addressed. A series of experiments were carried out using several spatial clustering methods. The automatic zoning procedure method that gave the best statistical results was then tested with different combinations of parameters. In each city, seven types of areas of urban crime were identified. Maps of crime areas (regions) were created for each city. The results of the regionalisation have been interpreted from a socio-geographical point of view and conform with previous sociological urban studies. Seven types of areas of crime have been identified, which are present in all the cities studied and, according to a preliminary assessment, roughly correspond to the socio-demographic and urban zones of each city. The maps of crime areas can be applied for crime prevention planning and communication, real estate valuation, strategic urban development planning and other purposes.
Exploration of the Character Representation of DNA Chiral Conformations and Deformations via a Curved Surface Discrete Frenet Frame
Authors: Wang Ying , Wang He , Zhang Shengli , Yang Zhiwei , Shi Xuguang , Zhang Lei
Published: December 2023

While undergoing structural deformation, DNA experiences changes in the interactions between its internal base pairs, presenting challenges to conventional elastic methods. To address this, we propose the Discrete Critical State (DCS) model in this paper. This model combines surface discrete frame theory with gauge theory and Landau phase transition theory to investigate DNA’s structural deformation, phase transitions, and chirality. Notably, the DCS model considers both the internal interactions within DNA and formulates an overall equation using unified physical and geometric parameters. By employing the discrete frame, we derive the evolution of physical quantities along the helical axis of DNA, including geodesic curvature, geodesic torsion, and others. Our findings indicate that B-DNA has a significantly lower free energy density compared to Z-DNA, which is in agreement with experimental observations. This research reveals that the direction of base pairs is primarily governed by the geodesic curve within the helical plane, aligning closely with the orientation of the base pairs. Moreover, the geodesic curve has a profound influence on the arrangement of base pairs at the microscopic level and effectively regulates the configuration and geometry of DNA through macroscopic-level free energy considerations.