bluuebunny/crossref_metadata_2025 huggingface dataset:
Description of Baseline Nutrition and Physical Activity Knowledge and Behavior in Acute Stroke/TIA Patients Enrolled in the Health Education on Information Retention and Behavior Change in Stroke (HERBS) Pilot Trial
Authors: Uhlig-Reche Hannah , Ontiveros Diana , Syzdek Riley , Mathews Patenne , Dalal Leanne , Amaro Andrea , Wunnava Nidhi , Housammy Zina , Schmitt Barrie , Sharrief Anjail , Gonzales Nicole R.
Published: August 2023

Lifestyle modifications after stroke are associated with better risk factor control and lower mortality. The primary objective of this study was to describe the knowledge of American Heart Association (AHA) recommendations for diet and exercise in survivors of stroke and transient ischemic attack (TIA). The secondary objectives were to describe their diet and exercise behaviors, self-efficacy (SE), behavioral intent (BI), stage of change, and barriers to change. Data are described from participants enrolled in a prospective educational intervention in mild stroke/TIA survivors. A multiple-choice questionnaire ascertained knowledge of AHA recommendations for diet and exercise, nutrition and physical activity behavior, SE, BI, stage of change, and barriers to change. Twenty-eight stroke/TIA survivors, with a mean age of 61.7 ± 11.8 years, completed questionnaires during their acute hospitalization. Participants underestimated the recommended intake of fruits, vegetables, whole grains, and participation in aerobic exercise and overestimated the recommended intake of sugar and salt. SE demonstrated a significant positive association with combined behavior scores (rs = 0.36, p = 0.043). Greater knowledge of the AHA recommendations was not associated with healthier behavior, greater SE, higher BI, or more advanced stage of change. The gaps between AHA recommendations and stroke/TIA patient knowledge identifies an area for potential intervention in stroke prevention and recovery.
Untargeted Metabolomic Analysis of Lactation-Stage-Matched Human and Bovine Milk Samples at 2 Weeks Postnatal
Authors: Lemas Dominick J. , Du Xinsong , Dado-Senn Bethany , Xu Ke , Dobrowolski Amanda , Magalhães Marina , Aristizabal-Henao Juan J. , Young Bridget E. , Francois Magda , Thompson Lindsay A. , Parker Leslie A. , Neu Josef , Laporta Jimena , Misra Biswapriya B. , Wane Ismael , Samaan Samih , Garrett Timothy J.
Published: August 2023

Epidemiological data demonstrate that bovine whole milk is often substituted for human milk during the first 12 months of life and may be associated with adverse infant outcomes. The objective of this study is to interrogate the human and bovine milk metabolome at 2 weeks of life to identify unique metabolites that may impact infant health outcomes. Human milk (n = 10) was collected at 2 weeks postpartum from normal-weight mothers (pre-pregnant BMI < 25 kg/m2) that vaginally delivered term infants and were exclusively breastfeeding their infant for at least 2 months. Similarly, bovine milk (n = 10) was collected 2 weeks postpartum from normal-weight primiparous Holstein dairy cows. Untargeted data were acquired on all milk samples using high-resolution liquid chromatography–high-resolution tandem mass spectrometry (HR LC-MS/MS). MS data pre-processing from feature calling to metabolite annotation was performed using MS-DIAL and MS-FLO. Our results revealed that more than 80% of the milk metabolome is shared between human and bovine milk samples during early lactation. Unbiased analysis of identified metabolites revealed that nearly 80% of milk metabolites may contribute to microbial metabolism and microbe–host interactions. Collectively, these results highlight untargeted metabolomics as a potential strategy to identify unique and shared metabolites in bovine and human milk that may relate to and impact infant health outcomes.
Daily Early-Life Exposures to Diet Soda and Aspartame Are Associated with Autism in Males: A Case-Control Study
Authors: Fowler Sharon Parten , Gimeno Ruiz de Porras David , Swartz Michael D. , Stigler Granados Paula , Heilbrun Lynne Parsons , Palmer Raymond F.
Published: August 2023

Since its introduction, aspartame—the leading sweetener in U.S. diet sodas (DS)—has been reported to cause neurological problems in some users. In prospective studies, the offspring of mothers who consumed diet sodas/beverages (DSB) daily during pregnancy experienced increased health problems. We hypothesized that gestational/early-life exposure to ≥1 DS/day (DSearly) or equivalent aspartame (ASPearly: ≥177 mg/day) increases autism risk. The case-control Autism Tooth Fairy Study obtained retrospective dietary recalls for DSB and aspartame consumption during pregnancy/breastfeeding from the mothers of 235 offspring with autism spectrum disorder (ASD: cases) and 121 neurotypically developing offspring (controls). The exposure odds ratios (ORs) for DSearly and ASPearly were computed for autism, ASD, and the non-regressive conditions of each. Among males, the DSearly odds were tripled for autism (OR = 3.1; 95% CI: 1.02, 9.7) and non-regressive autism (OR = 3.5; 95% CI: 1.1, 11.1); the ASPearly odds were even higher: OR = 3.4 (95% CI: 1.1, 10.4) and 3.7 (95% CI: 1.2, 11.8), respectively (p < 0.05 for each). The ORs for non-regressive ASD in males were almost tripled but were not statistically significant: DSearly OR = 2.7 (95% CI: 0.9, 8.4); ASPearly OR = 2.9 (95% CI: 0.9, 8.8). No statistically significant associations were found in females. Our findings contribute to the growing literature raising concerns about potential offspring harm from maternal DSB/aspartame intake in pregnancy.
The Effect of Including eHealth in Dietary Interventions for Patients with Type 2 Diabetes with Overweight or Obesity: A Systematic Review
Authors: Geurts Karlijn A. M. , Woodcock-Nekeman Sandra , Hummel Mitchell , Dietvorst Carmen A. W. , van Rossum Elisabeth F. C. , Berk Kirsten A.
Published: August 2023

eHealth has a growing impact on the delivery of healthcare, making health systems more efficient. This study examined the effect of dietary interventions using eHealth compared to face-to-face contact in patients with (pre-) type 2 diabetes (T2D) and who are overweight/obese. Literature databases were searched upon November 2022. Inclusion criteria: randomized controlled trial; duration ≥ 6 months; involving dietary interventions; performed in adults with (pre-) T2D and who are overweight/obese; using eHealth compared to face-to-face contact; and report outcomes on weight loss, glycemic regulation, and/or cost-effectiveness. Selection of articles was performed manually and using ASReviewLab. Fifteen studies were included for data extraction, investigating a wide variety of eHealth interventions. Seven studies reporting on weight loss showed a significant between-group difference (−1.18 to −5.5 kg); five studies showed a trend in favor of the eHealth programs. Eleven studies reported on HbA1c; three found a significant between-group difference (−0.23 to −0.70%) in favor of the eHealth programs and six studies showed non-significant improvements. Interaction with healthcare professionals led to better results of the dietary interventions. Two studies reported incomplete data on cost-effectiveness. In conclusion, eHealth shows better results of dietary interventions in (pre-) T2D patients compared to face-to-face, especially when combined with interaction with healthcare professionals.
The Antinociceptive Responses of MTDZ to Paclitaxel−Induced Peripheral Neuropathy and Acute Nociception in Mice: Behavioral, Pharmacological, and Biochemical Approaches
Authors: da Motta Ketlyn P. , Martins Carolina C. , Macedo Vanessa M. , dos Santos Beatriz F. , Domingues Nelson Luís De C. , Luchese Cristiane , Wilhelm Ethel A.
Published: August 2023

The efficacy of 5-((4-methoxyphenyl)thio)benzo[c][1,2,5] thiodiazole (MTDZ) in mitigating paclitaxel (PTX)-induced peripheral neuropathy was investigated in male and female Swiss mice. The study examined the effects of MTDZ on various pathways, including transient receptor potential cation channel subfamily V member 1 (TRPV1), glutamatergic, nitrergic, guanylate cyclase (cGMP), serotonergic, and opioidergic. Mice received intraperitoneal PTX (2 mg/kg) or vehicle on days 1, 2, and 3, followed by oral MTDZ (1 mg/kg) or vehicle from days 3 to 14. Mechanical and thermal sensitivities were assessed using Von Frey and hot plate tests on days 8, 11, and 14. The open field test evaluated locomotion and exploration on day 12. On day 15, nitrite and nitrate (NOx) levels and Ca2+−ATPase activity in the cerebral cortex and spinal cord were measured after euthanizing the animals. MTDZ administration reversed the heightened mechanical and thermal sensitivities induced by PTX in male and female mice without affecting locomotion or exploration. MTDZ also modulated multiple pathways, including glutamatergic, NO/L−arginine/cGMP, serotonergic (5−HT1A/1B), opioid, and TRPV1 pathways. Additionally, MTDZ reduced NOx levels and modulated Ca2+−ATPase activity. In conclusion, MTDZ effectively alleviated PTX−induced peripheral neuropathy and demonstrated multi-targeted modulation of pain-related pathways. Its ability to modulate multiple pathways, reduce NOx levels, and modulate Ca2+−ATPase activity makes it a potential pharmacological candidate for peripheral neuropathy, acute nociceptive, and inflammatory conditions. Further research is needed to explore its therapeutic potential in these areas.
Polysaccharide-Based Coatings as Drug Delivery Systems
Authors: Visan Anita Ioana , Cristescu Rodica
Published: August 2023

Therapeutic polysaccharide-based coatings have recently emerged as versatile strategies to transform a conventional medical implant into a drug delivery system. However, the translation of these polysaccharide-based coatings into the clinic as drug delivery systems still requires a deeper understanding of their drug degradation/release profiles. This claim is supported by little or no data. In this review paper, a comprehensive description of the benefits and challenges generated by the polysaccharide-based coatings is provided. Moreover, the latest advances made towards the application of the most important representative coatings based on polysaccharide types for drug delivery are debated. Furthermore, suggestions/recommendations for future research to speed up the transition of polysaccharide-based drug delivery systems from the laboratory testing to clinical applications are given.
New Plants, New Resources, New Knowledge: Early Introductions of Exotic Plants to Indigenous Territories in Northwestern North America
Authors: Turner Nancy J.
Published: August 2023

Plants have always been important for the Indigenous Peoples of Northwestern North America. Collectively, these peoples named and used hundreds of different native plant species, along with diverse animal species. When traders and settlers from Europe and other parts of the world arrived in the region, they brought many new species of plants with them. Some (e.g., turnips (Brassica rapa) and onions (Allium cepa)), were from Europe, and some (e.g., potatoes (Solanum tuberosum)) were from South America or elsewhere. Other plants, like dandelion, Taraxacum officinale, probably arrived unintentionally, as weeds. Examining the ways in which the Indigenous Peoples have incorporated these new species into their lexicons and lifestyles provides insight into processes of acquiring and embracing new products and expanding the cultural knowledge base for human societies in general.
β-Phase Enhancement of Force Spun Composite Nanofibers for Sensing Applications
Authors: Aguirre-Corona Renato Wenceslao , Del Ángel-Sánchez Karina , Ulloa-Castillo Nicolás Antonio , Rodríguez-Salinas Juan José , Olvera-Trejo Daniel , Perales-Martínez Imperio Anel , Martínez-Romero Oscar , Elías-Zúñiga Alex
Published: August 2023

In this study, a piezoelectric harvesting device was developed using polyvinylidene fluoride (PVDF) nanofibers reinforced with either BaTiO3 nanoparticles or graphene powder. BaTiO3 nanoparticles were synthesized through the sol-gel method with an average size of approximately 32 nm. The PVDF nanofibers, along with the nanoparticle composites in an acetone-N,N-dimethylformamide mixture, were produced using a centrifugal Forcespinning™ machine, resulting in a heterogeneous arrangement of fiber meshes, with an average diameter of 1.6 μm. Experimental tests revealed that the electrical performance of the fabricated harvester reached a maximum value of 35.8 Voc, demonstrating the potential of BaTiO3/ PVDF-based piezoelectric devices for designing wearable applications such as body-sensing and energy-harvesting devices.
Fabrication of Bio-Nanocomposite Packaging Films with PVA, MMt Clay Nanoparticles, CNCs, and Essential Oils for the Postharvest Preservation of Sapota Fruits
Authors: Poongavanam Senthamil Selvi , Subramaniyan Vishnupriya , Sellamuthu Periyar Selvam , Jarugala Jayaramudu , Sadiku Emmanuel Rotimi
Published: August 2023

Sapota is an important climacteric fruit with limited shelf life. A special system must be employed to extend the shelf life of sapota fruits. In the present study, polyvinyl alcohol (PVA) and montmorillonite clay (MMt)-based bio-nanocomposite films (BNFs) were integrated at various concentrations (2%, 4%, 6%, and 8%) into cellulose nanocrystals (CNCs), produced from garlic peels (GPs). The BNF loaded with 8% CNC has a better crystallinity index and mechanical properties than the other concentrations of CNC. Therefore, the 8% CNC-incorporated BNF (BNF-8) was selected for further packaging studies. The combined effect of BNF-8 with ajwain essential oil (AO) and oregano essential oil (OO) vapors and BNF-8 with carbendazim (commercial fungicide-CARB) were investigated. In this study, the BNF-based packagings are categorized into five types, viz: BNF+8% CNC (BNF-8), BNF-8+AO, BNF-8+OO, BNF-8+CARB and the non-packaged fruits (control). The shelf-life duration, antioxidant activity, firmness, decay index, and sensory quality were evaluated in order to identify the effectiveness of packaging treatment on sapota fruits. BNF-8+CARB, BNF-8+AO, and BNF-8+OO packaging extended the shelf life of sapota fruits to up to 12 days and maintained the overall physiochemical parameters and sensory qualities of the fruits. Therefore, the BNF-8+AO and BNF-8+OO packaging materials are appropriate alternatives to commercial fungicides for the preservation of sapota during postharvest storage.
A Phenomenological Model for Enthalpy Recovery in Polystyrene Using Dynamic Mechanical Spectra
Authors: Nitta Koh-hei , Ito Kota , Ito Asae
Published: August 2023

This paper studies the effects of annealing time on the specific heat enthalpy of polystyrene above the glass transition temperature. We extend the Tool–Narayanaswamy–Moynihan (TNM) model to describe the endothermic overshoot peaks through the dynamic mechanical spectra. In this work, we accept the viewpoint that the enthalpy recovery behavior of glassy polystyrene (PS) has a common structural relaxation mode with linear viscoelastic behavior. As a consequence, the retardation spectrum evaluated from the dynamic mechanical spectra around the primary Tg peak is used as the recovery function of the endothermic overshoot of specific heat. In addition, the sub-Tg shoulder peak around the Tg peak is found to be related to the structural relaxation estimated from light scattering measurements. The enthalpy recovery of annealed PS is quantitatively described using retardation spectra of the primary Tg, as well as the kinetic process of the sub-Tg relaxation process.
Miracle Stories in Motion—On the Three Editions of Guangshiyin Yingyanji
Authors: Lai Chon Iat
Published: August 2023

Previous studies have assumed that the purpose of Yingyanji was to produce texts that are proselytistic or evangelical. Through the analysis of Guangshiyin Yingyanji, we find that lay people have created Yingyanji for a long time. Its main purpose was not to spread religion, but to record regional memories and family beliefs, which were mainly circulated among friends and relatives. Moreover, the miracle stories contained in Guangshiyin Yingyanji often have different versions within the three systems of Zhiguai, Yingyan, and Gantong. Through an analysis of these different versions, we can better grasp the purpose of rewriting texts under different systems, and the struggle for ideas which they embody.
Adaptive Adjacent Layer Feature Fusion for Object Detection in Remote Sensing Images
Authors: Zhang Xuesong , Gong Zhihui , Guo Haitao , Liu Xiangyun , Ding Lei , Zhu Kun , Wang Jiaqi
Published: August 2023

Object detection in remote sensing images faces the challenges of a complex background, large object size variations, and high inter-class similarity. To address these problems, we propose an adaptive adjacent layer feature fusion (AALFF) method, which is developed on the basis of RTMDet. Specifically, the AALFF method incorporates an adjacent layer feature fusion enhancement (ALFFE) module, designed to capture high-level semantic information and accurately locate object spatial positions. ALFFE also effectively preserves small objects by fusing adjacent layer features and employs involution to aggregate contextual information in a wide spatial range for object essential features extraction in complex backgrounds. Additionally, the adaptive spatial feature fusion (ASFF) module is introduced to guide the network to select and fuse the crucial features to improve the adaptability to objects with different sizes. The proposed method achieves mean average precision (mAP) values of 77.1%, 88.9%, and 95.7% on the DIOR, HRRSD, and NWPU VHR-10 datasets, respectively. Notably, our approach achieves mAP75 values of 60.8% and 79.0% on the DIOR and HRRSD datasets, respectively, surpassing the state-of-the-art performance on the DIOR dataset.
Study of the Application of FY-3D/MERSI-II Far-Infrared Data in Wildfire Monitoring
Authors: Zheng Wei , Chen Jie , Liu Cheng , Shan Tianchan , Yan Hua
Published: August 2023

In general, the far-infrared channel in the wavelength range of 10.5–12.0 µm plays an auxiliary role in wildfire detection as its sensitivity to high-temperature targets is far lower than the mid-infrared channel in the wavelength range of 3.5–4.0 µm at the same spatial resolution (1 km, which is the spatial resolution of infrared channels in most satellites used for wildfire monitoring in daily operational mode). The Medium-Resolution Spectral Imager II onboard the Fengyun-3D polar orbiting meteorological satellite (FY-3D/MERSI-II) contains far-infrared channels with a spatial resolution of 250 m at the wavelengths of 10.8 μm and 12.0 μm, which promotes the application of far-infrared channels in wildfire monitoring. In this study, the features of FY-3D/MERSI-II far-infrared channels in fire monitoring are discussed. The sensitivity of 10.8 μm (250 m) to fire spots and the influence of solar radiation reflection on the infrared channels are quantitatively analyzed. The method of using 10.8 μm (250 m) as a major data source to detect fire spots is proposed, and several typical wildfire cases are used to verify the proposed method. The results show that the 10.8 μm (250 m) far-infrared channel has the same advantages as the existing method in wildfire monitoring in terms of a more precise positioning of the detected fire pixel, avoiding interference by solar radiation reflections, and reflecting stronger fire regions in large fire fields.
MTGL40-5: A Multi-Temporal Dataset for Remote Sensing Image Geo-Localization
Authors: Ma Jingjing , Pei Shiji , Yang Yuqun , Tang Xu , Zhang Xiangrong
Published: August 2023

Image-based geo-localization focuses on predicting the geographic information of query images by matching them with annotated images in a database. To facilitate relevant studies, researchers collect numerous images to build the datasets, which explore many challenges faced in real-world geo-localization applications, significantly improving their practicability. However, a crucial challenge that often arises is overlooked, named the cross-time challenge in this paper, i.e., if query and database images are taken from the same landmark but at different time periods, the significant difference in their image content caused by the time gap will notably increase the difficulty of image matching, consequently reducing geo-localization accuracy. The cross-time challenge has a greater negative influence on non-real-time geo-localization applications, particularly those involving a long time span between query and database images, such as satellite-view geo-localization. Furthermore, the rough geographic information (e.g., names) instead of precise coordinates provided by most existing datasets limits the geo-localization accuracy. Therefore, to solve these problems, we propose a dataset, MTGL40-5, which contains remote sensing (RS) satellite images captured from 40 large-scale geographic locations spanning five different years. These large-scale images are split to create query images and a database with landmark labels for geo-localization. By observing images from the same landmark but at different time periods, the cross-time challenge becomes more evident. Thus, MTGL40-5 supports researchers in tackling this challenge and further improving the practicability of geo-localization. Moreover, it provides additional geographic coordinate information, enabling the study of high-accuracy geo-localization. Based on the proposed MTGL40-5 dataset, many existing geo-localization methods, including state-of-the-art approaches, struggle to produce satisfactory results when facing the cross-time challenge. This highlights the importance of proposing MTGL40-5 to address the limitations of current methods in effectively solving the cross-time challenge.
Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems
Authors: Subramaniam Erana Veerappa Dinesh , Srinivasan Kathiravan , Qaisar Saeed Mian , Pławiak Paweł
Published: August 2023

The emergence of the Internet of Medical Things (IoMT) has brought together developers from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient diagnosis and treatment using mobile-device-collected data. However, the utilization of traditional AI systems raises concerns about patient privacy. To address this issue, we present a privacy-enhanced approach for illness diagnosis within the IoMT framework. Our proposed interoperable IoMT implementation focuses on optimizing IoT network performance, including throughput, energy consumption, latency, packet delivery ratio, and network longevity. We achieve these improvements using techniques such as device authentication, energy-efficient clustering, environmental monitoring using Circular-based Hidden Markov Model (C-HMM), data verification using Awad’s Entropy-based Ten-Fold Cross Entropy Verification (TCEV), and data confidentiality using Twine-LiteNet-based encryption. We employ the Search and Rescue Optimization algorithm (SRO) for optimal route selection, and the encrypted data are securely stored in a cloud server. With extensive network simulations using ns-3, our approach demonstrates substantial enhancements in the specified performance metrics compared with previous works. Specifically, we observe a 20% increase in throughput, a 15% reduction in packet drop rate (PDR), a 35% improvement in network lifetime, and a 10% decrease in energy consumption and delay. These findings underscore the efficacy of our approach in enhancing IoT network interoperability and protection, fostering improved patient care and diagnostic capabilities.
Field Evaluation of a Rising Plate Meter to Estimate Herbage Mass in Austrian Pastures
Authors: Chapa Jose Maria , Pichlbauer Barbara , Bobal Martin , Guse Christian , Drillich Marc , Iwersen Michael
Published: August 2023

Pasture management is an important topic for dairy farms with grazing systems. Herbage mass (HM) is a key measure, and estimations of HM content in pastures allow for informed decisions in pasture management. A common method of estimating the HM content in pastures requires manually collected grass samples, which are subjected to laboratory analysis to determine the dry matter (DM) content. However, in recent years, new methods have emerged that generate digital data and aim to expedite, facilitate and improve the measurement of HM. This study aimed to evaluate the accuracy of a rising plate meter (RPM) tool in a practical setting to estimate HM in Austrian pastures. With this study, we also attempted to answer whether the tool is ready for use by farmers with its default settings. This study was conducted on the teaching and research farm of the University of Veterinary Medicine in Vienna, Austria. Data were collected from May to October 2021 in five different pastures. To evaluate the accuracy of the RPM tool, grass samples were collected and dried in an oven to extract their DM and calculate the HM. The HM obtained from the grass samples was used as the gold standard for this study. In total, 3796 RPM measurements and 203 grass samples yielding 49 measurement points were used for the evaluation of the RPM tool. Despite the differences in pasture composition, the averaged HM from the RPM tool showed a strong correlation with the gold standard (R2 = 0.73, rp = 0.86, RMSE = 517.86, CV = 33.67%). However, the results may not be good enough to justify the use of the tool, because simulations in economic studies suggest that the error of prediction should be lower than 15%. Furthermore, in some pastures, the RPM obtained poor results, indicating an additional need for pasture-specific calibrations, which complicates the use of the RPM tool.
Optimization of Magnetoimpedance Effect and Magnetic Properties of Fe-Rich Glass-Coated Microwires by Annealing
Authors: González Alvaro , García-Gomez Alfonso , Zhukova Valentina , Corte-Leon Paula , Ipatov Mihail , Blanco Juan Maria , Gonzalez Julian , Zhukov Arcady
Published: August 2023

As-prepared Fe-rich microwires with perfectly rectangular hysteresis loops present magnetization reversal through fast domain wall propagation, while the giant magnetoimpedance (GMI) effect in Fe-rich microwires is rather low. However, the lower cost of Fe-rich microwires makes them attractive for magnetic sensors applications. We studied the effect of conventional (furnace) annealing and Joule heating on magnetic-propertied domain wall (DW) dynamics and the GMI effect in two Fe microwires with different geometries. We observed that magnetic softness, GMI effect and domain wall (DW) dynamics can be substantially improved by appropriate annealing. Observed experimental results are discussed considering the counterbalance between the internal stresses relaxation and induced magnetic anisotropy associated with the presence of an Oersted magnetic field during Joule heating.
Research on Influence of Tool Deformation in the Direction of Cutting and Feeding on the Stabilization of Vibration Activity during Metal Processing Using Metal-Cutting Machines
Authors: Viktor Lapshin , Ilia Turkin , Ilia Dudinov
Published: August 2023

The article is devoted to the issues regarding assessment of the impact of changes in the delay in the feed direction on the dynamics of metal processing with metal-cutting machines. Here, for the first time, it is proposed that we take into account, when constructing models of the cutting control system, the real value of the delay value. It is this model that allows us to adequately consider the dynamics of the cutting process, by clarifying the effect of vibration regeneration. In this article, much attention is paid to describing the development of a measuring system that allows the calculation of the real value of the feed during cutting. It describes a series of experiments, and shows the results of data processing, using software developed by the authors. The studies conducted have shown that, in addition to the vibrations of the cutting tool in the feed direction, the vibration activity of the tool in the cutting direction plays an essential role in ensuring the regenerative effect. It should be noted that, currently, this is a new area of knowledge regarding processes in metalworking, and it requires further study.
Wheelchair Rugby Sprint Force-Velocity Modeling Using Inertial Measurement Units and Sport Specific Parameters: A Proof of Concept
Authors: Klimstra Marc , Geneau Daniel , Lacroix Melissa , Jensen Matt , Greenshields Joel , Cormier Patrick , Brodie Ryan , Commandeur Drew , Tsai Ming-Chang
Published: August 2023

Background: Para-sports such as wheelchair rugby have seen increased use of inertial measurement units (IMU) to measure wheelchair mobility. The accessibility and accuracy of IMUs have enabled the quantification of many wheelchair metrics and the ability to further advance analyses such as force-velocity (FV) profiling. However, the FV modeling approach has not been refined to include wheelchair specific parameters. Purpose: The purpose of this study was to compare wheelchair rugby sprint FV profiles, developed from a wheel-mounted IMU, using current mono-exponential modeling techniques against a dynamic resistive force model with wheelchair specific resistance coefficients. Methods: Eighteen athletes from a national wheelchair rugby program performed 2 × 45 m all-out sprints on an indoor hardwood court surface. Results: Velocity modelling displayed high agreeability, with an average RMSE of 0.235 ± 0.07 m/s−1 and r2 of 0.946 ± 0.02. Further, the wheelchair specific resistive force model resulted in greater force and power outcomes, better aligning with previously collected measures. Conclusions: The present study highlights the proof of concept that a wheel-mounted IMU combined with wheelchair-specific FV modelling provided estimates of force and power that better account for the resistive forces encountered by wheelchair rugby athletes.
Investigation of Limitations in the Detection of Antibody + Antigen Complexes Using the Silicon-on-Insulator Field-Effect Transistor Biosensor
Authors: Generalov Vladimir , Cheremiskina Anastasia , Glukhov Alexander , Grabezhova Victoria , Kruchinina Margarita , Safatov Alexander
Published: August 2023

The SOI-FET biosensor (silicon-on-insulator field-effect transistor) for virus detection is a promising device in the fields of medicine, virology, biotechnology, and the environment. However, the applications of modern biosensors face numerous problems and require improvement. Some of these problems can be attributed to sensor design, while others can be attributed to technological limitations. The aim of this work is to conduct a theoretical investigation of the “antibody + antigen” complex (AB + AG) detection processes of a SOI-FET biosensor, which may also solve some of the aforementioned problems. Our investigation concentrates on the analysis of the probability of AB + AG complex detection and evaluation. Poisson probability density distribution was used to estimate the probability of the adsorption of the target molecules on the biosensor’s surface and, consequently, to obtain correct detection results. Many implicit and unexpected causes of error detection have been identified for AB + AG complexes using SOI-FET biosensors. We showed that accuracy and time of detection depend on the number of SOI-FET biosensors on a crystal.
Beyond REM: A New Approach to the Use of Image Classifiers for the Management of 6G Networks
Authors: Baena Eduardo , Fortes Sergio , Muro Francisco , Baena Carlos , Barco Raquel
Published: August 2023

The management of cellular networks, particularly within the environment rapidly advancing to 6G, presents considerable challenges due to the highly dynamic radio environment. Traditional tools such as Radio Environment Maps (REMs) have proven inadequate for real-time network changes, underlining the need for more sophisticated solutions. In response to these challenges, this work introduces a novel approach that harnesses the unprecedented power of state-of-the-art image classifiers for network management. This method involves the generation of Network Synthetic Images (NSIs), which are enriched heat maps that precisely reflect varying cellular network operating states. Created from user location traces linked with Key Performance Indicators (KPIs), NSIs are strategically designed to meet the intricate demands of 6G networks. This research delves deep into a comprehensive analysis of the diverse factors that could potentially impact the successful application of this methodology in the realm of 6G. The results from this investigation, coupled with a comparative assessment against traditional REM usage, emphasize the superior performance of this innovative method. Additionally, a case study involving an automatic network diagnosis scenario validates the effectiveness of this approach. The findings reveal that a generic Convolutional Neural Network (CNN), one of the most powerful tools in the arsenal of modern image classifiers, delivers enhanced performance, even with a reduced demand for positioning accuracy. This contributes significantly to the real-time, robust management of cellular networks as we transition into the era of 6G.
NeoStarling: An Efficient and Scalable Collaborative Blockchain-Enabled Obstacle Mapping Solution for Vehicular Environments
Authors: Juárez Rubén , Bordel Borja
Published: August 2023

The Vehicular Self-Organizing Network (VANET) is a burgeoning research topic within Intelligent Transportation Systems, holding promise in enhancing safety and convenience for drivers. In general, VANETs require large amounts of data to be shared among vehicles within the network. But then two challenges arise. First, data security, privacy, and reliability need to be ensured. Second, data management and security solutions must be very scalable, because current and future transportation systems are very dense. However, existing Vehicle-to-Vehicle solutions fall short of guaranteeing the veracity of crucial traffic and vehicle safety data and identifying and excluding malicious vehicles. The introduction of blockchain technology in VANETs seeks to address these issues. But blockchain-enabled solutions, such as the Starling system, are too computationally heavy to be scalable enough. Our proposed NeoStarling system focuses on proving a scalable and efficient secure and reliable obstacle mapping using blockchain. An opportunistic mutual authentication protocol, based on hash functions, is only triggered when vehicles travel a certain distance. Lightweight cryptography and an optimized message exchange enable an improved scalability. The evaluation results show that our collaborative approach reduces the frequency of authentications and increases system efficiency by 35%. In addition, scalability is improved by 50% compared to previous mechanisms.
Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment
Authors: Noh Byeongjoon , Lin Tengfeng , Lee Sungju , Jeong Taikyeong
Published: August 2023

This study introduces a novel model for accurately estimating the cuboid of a road vehicle using a monovision sensor and road geometry information. By leveraging object detection models and core vectors, the proposed model overcomes the limitations of multi-sensor setups and provides a cost-effective solution. The model demonstrates promising results in accurately estimating cuboids by utilizing the magnitudes of core vectors and considering the average ratio of distances. This research contributes to the field of intelligent transportation by offering a practical and efficient approach to 3D bounding box estimation using monovision sensors. We validated feasibility and applicability are through real-world road images captured by CCTV cameras.
Exploring the Intellectual Structure of Research in Organizational Resilience through a Bibliometric Approach
Authors: Hussain Tajammal , Edgeman Rick , AlNajem Mohamad Najem
Published: August 2023

Organizations, businesses, and communities at large are exposed to unprecedented adversities, uncertainties, economic, social, and ecological shocks and disruptions caused by natural disasters, climate change, political turmoil, global recession, economic instability, fluctuations in energy-source prices, war and terrorism dilemmas, pandemics, and several other newly rising social turbulences. This situation has forced stakeholders to revisit and redefine their strategies to effectively and efficiently combat adversity and uncertainty within their business domain. One concern attracting attention is organizational resilience. Strategists and decision-makers are keener to secure, sustain, and progress against unpredicted shocks by making organizations highly resilient. The present research provides in-depth insight into the foundation, evolution, progression, and dissemination of organizational resilience as a promising research field, doing so by deploying advanced bibliometric techniques on the Elsevier Scopus-listed dataset of all 484 published journal articles up to 31 December 2022. Herein, it is inferred that the concept of organizational resilience is evolving and has great potential to become a key research domain due to ever-increasing adversities around the globe.
Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis
Authors: Bahroun Zied , Anane Chiraz , Ahmed Vian , Zacca Andrew
Published: August 2023

In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by the PRISMA framework, presents a comprehensive analysis of GAI in education, synthesizing key insights from a selection of 207 research papers to identify research gaps and future directions in the field. This study begins with a content analysis that explores GAI’s transformative impact in specific educational domains, including medical education and engineering education. The versatile applications of GAI encompass assessment, personalized learning support, and intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, and responsible technology use are highlighted, emphasizing the need for transparent GAI models and addressing biases. Subsequently, a bibliometric analysis of GAI in education is conducted, examining prominent AI tools, research focus, geographic distribution, and interdisciplinary collaboration. ChatGPT emerges as a dominant GAI tool, and the analysis reveals significant and exponential growth in GAI research in 2023. Moreover, this paper identifies promising future research directions, such as GAI-enhanced curriculum design and longitudinal studies tracking its long-term impact on learning outcomes. These findings provide a comprehensive understanding of GAI’s potential in reshaping education and offer valuable insights to researchers, educators, and policymakers interested in the intersection of GAI and education.
Mapping Vertical Greening on Urban Built Heritage Exposed to Environmental Stressors–A Case Study in Antwerp, Belgium
Authors: Kale Eda , De Groeve Marie , Pinnel Lena , Erkan Yonca , Hacigüzeller Piraye , Orr Scott Allan , De Kock Tim
Published: August 2023

Urbanisation amplifies environmental stressors, including heat, air and noise pollution, while constraining horizontal space for green areas. Vertical greening (VG) offers a sustainable alternative to mitigate these environmental stressors and enhance the well-being of urban residents, particularly in densely built areas. However, heritage buildings are often excluded from VG initiatives due to concerns regarding potential damage caused by invasive plants. Nonetheless, these concerns mainly apply to abandoned structures lacking proper maintenance, overlooking the implementations of VG on urban built heritage. This study addresses this research gap through an evidence-based framework under three main research questions; first, by studying the presence of VG implementations in urban built heritage among neighbourhoods that lack green spaces and face high environmental stressors; second, by investigating the heritage designation status of buildings with VG; last, by analysing street morphologies where most VG implementations are observed. Antwerp, Belgium, a historical city actively promoting VG initiatives, is selected as the study area. Environmental risk index maps for historic urban areas are used for determining case studies among 63 neighbourhoods. VG implementations in three selected neighbourhoods are documented using GIS and field surveying methods. The results reveal that VG is implemented on up to 7–14% of buildings in these neighbourhoods. In the Historical Centre, 59% of these VG implementations are observed on heritage buildings. In densely built neighbourhoods with limited green space, neither narrow streets nor the heritage designation status of buildings hinders VG implementations. This illustrates the great potential for heritage buildings in adopting such types of nature-based solutions, nevertheless requiring proper guidance and integration strategies for implementing VG on heritage buildings. While these results are specific to the study locations, they provide valuable insights for policymakers and urban planners, supporting them to further explore the environmental contributions of VG on heritage buildings and create effective integration strategies.
Assessing Soil Erosion Susceptibility for Past and Future Scenarios in Semiarid Mediterranean Agroecosystems
Authors: Busico Gianluigi , Grilli Eleonora , Carvalho Silvia C. P. , Mastrocicco Micòl , Castaldi Simona
Published: August 2023

The evaluation of soil erosion rate, particularly in agricultural lands, is a crucial tool for long-term land management planning. This research utilized the soil and water assessment tool (SWAT) model to simulate soil erosion in a semiarid watershed located in South Portugal. To understand the evolution of the erosive phenomenon over time, soil erosion susceptibility maps for both historical and future periods were created. The historical period exhibited the highest average soil erosion for each land use, followed by the representative concentration pathways (RCPs) 8.5 and 4.5 scenarios. The differences in soil loss between these two RCPs were influenced by the slightly increasing trend of extreme events, particularly notable in RCP 8.5, leading to a higher maximum value of soil erosion. The research highlighted a tendency towards erosion in the agroforestry system known as “montado”, specifically on Leptosols throughout the entire basin. The study confirmed that Leptosols are most susceptible to sediment loss due to their inherent characteristics. Additionally, both “montado” and farmed systems were found to negatively impact soil erosion rates if appropriate antierosion measures are not adopted. This underscores the importance of identifying all factors responsible for land degradation in Mediterranean watersheds. In conclusion, the study highlighted the significance of assessing soil erosion rates in agricultural areas for effective land management planning in the long run. The utilization of the SWAT model and the creation of susceptibility maps provide valuable insights into the erosive phenomenon’s dynamics, urging the implementation of antierosion strategies to protect the soil and combat land degradation in the region.
The German Climate Verdict, Human Rights, Paris Target, and EU Climate Law
Authors: Ekardt Felix , Bärenwaldt Marie
Published: August 2023

The German Constitutional Court’s climate verdict provided a re-interpretation of core liberal-democratic concepts, and it is highly relevant for liberal constitutional law in general, including EU and international law—where similar issues are currently being discussed in ongoing trials before the European Court of Human Rights and the International Court of Justice. The present article applies a legal interpretation to analyse the national and transnational implications of the ruling. The results show that the verdict accepts human rights as intertemporal and globally applicable. It applies the precautionary principle to these rights and frees them from the misleading causality debate. However, the court failed to address the most important violations of human rights, it categorised climate policy as a greater threat to freedom than climate change, and the court failed to acknowledge that the Paris 1.5-degree limit implies a radically smaller carbon budget. Furthermore, little attention has so far been paid to the fact that the ruling implies an obligation for greater EU climate protection, especially since most emissions are regulated supranationally. Against this backdrop, the EU emissions trading system demands a reform, which has to go well beyond the existing EU proposals so as to enable societal transformations towards sustainability.
Design Principles for Sustainable Leadership Learning: A Complex Analysis of Learner Experiences
Authors: Odom Summer Felton , Donaldson Jonan Phillip , Anderson Karly McKenna , Gui Hang , Glover Jewell , Burns Ainsley , Armenta Viviana
Published: August 2023

Many institutions of higher education claim to produce leaders and many assume that graduating from a university equates to someone naturally growing in their ability to lead. Developing leaders is considered a worthwhile endeavor in society today and developing a leadership identity is considered foundational to leadership development in college. While colleges and universities purport to develop leaders, little is known about how best to help students develop sustainable leadership learning. Utilizing design-based research, this study examined the learning experiences of college students in three different semesters of a personal leadership course through their reflections about course activities designed to help them develop their leadership identity. Using network maps from student reflections, we analyzed the complexity of learner experiences and developed a set of design principles anchored in the relationships between learning experiences concerning strengths, weaknesses, and theoretical foundations. The following design principles emerged from this study: framing for authentic learning, scaffolding for learner agency, social and collaborative learning, and multimodal engagement. By using these principles in designing leadership experiences, college leadership educators will be empowered to create opportunities that are sustainable and inclusive and that promote lifelong learning in regard to students’ authentic and personal leadership development practices.
Factors Influencing Purchase Intention of Food Surplus through a Food-Sharing Platform
Authors: Hua Nan , Shannon Randall , Haider Murtaza , Moschis George P.
Published: August 2023

Food waste is a serious issue around the world. One way to address this issue is distributing food surpluses through food-sharing platforms. There are a limited number of empirical studies investigating the drivers of using food surplus-sharing platforms, particularly in developing countries. This paper investigates the impacts and connections between environmental concern, perceived playfulness, social norms, food waste awareness, price consciousness, food neophobia, and purchase intention of food surplus through a food-sharing platform in Thailand. A sample of 284 Yindii users was analyzed by using exploratory factor analysis and multiple regression. Empirical results revealed environmental concern and perceived playfulness to be the primary constructs influencing consumers’ purchase intention toward food surplus. The results suggest that perceived playfulness is the most crucial determinant affecting purchase intention. Our results also indicated people who have obtained a higher education level and the low-income group show a higher purchase intention toward food surplus products. This research is the first attempt to study food surplus redistribution in Thailand. This study contributes to the literature and provides insights for practitioners with several implications.