bluuebunny/crossref_metadata_2025 huggingface dataset:
A Naturally Derived Watercress Flower-Based Phenethyl Isothiocyanate-Enriched Extract Induces the Activation of Intrinsic Apoptosis via Subcellular Ultrastructural and Ca2+ Efflux Alterations in an In Vitro Model of Human Malignant Melanoma
Authors: Kyriakou Sotiris , Potamiti Louiza , Demosthenous Nikoletta , Amery Tom , Stewart Kyle , Winyard Paul G. , Franco Rodrigo , Pappa Aglaia , Panayiotidis Mihalis I.
Published: September 2023

The aim of the current study was to (i) extract isolated fractions of watercress flowers enriched in polyphenols, phenethyl isothiocyanate and glucosinolates and (ii) characterize the anticancer mode of action of non-lethal, sub-lethal and lethal concentrations of the most potent extract fraction in primary (A375) and metastatic (COLO-679) melanoma cells as well as non-tumorigenic immortalized keratinocyte (HaCaT) cells. Cytotoxicity was assessed via the Alamar Blue assay, whereas ultrastructural alterations in mitochondria and the endoplasmic reticulum were determined via transmission electron microscopy. Mitochondrial membrane depolarization was determined using Mito-MP dye, whereas apoptosis was evaluated through the activation of caspases-3, -8 and -9. Among all extract fractions, the phenethyl isothiocyanate-enriched one (PhEF) possessed significant cytotoxicity against A375 and COLO-679 cells, while HaCaT cells remained relatively resistant at sub-lethal and lethal concentrations. Additionally, ultrastructural subcellular alterations associated with apoptosis were observed by means of increased mitochondrial area and perimeter, decreased cristae density and a shorter distance of the endoplasmic reticulum to the mitochondria, all taking place during “early” time points (2–4 h) of exposure. Moreover, PhEF induced mitochondrial membrane depolarization associated with “late” time points (24 h) of exposure, thereby leading to the activation of intrinsic apoptosis. Finally, the inhibition of cytosolic Ca2+ efflux reduced levels of caspases-9 and -3 activity, suggesting the involvement of Ca2+ efflux in modulating the activation of intrinsic apoptosis. To conclude, our data demonstrate an association of “early” ultrastructural alterations in mitochondria and the endoplasmic reticulum with the “late” induction of intrinsic apoptosis via the modulation of Ca2+ efflux.
Vitamin D Levels Are Associated with Cardiovascular Disease Events but Not with Cardiovascular Disease or Overall Mortality: A Prospective Population-Based Study
Authors: Patriota Pollyanna , Guessous Idris , Rezzi Serge , Marques-Vidal Pedro
Published: September 2023

(1) Background: A recent review concluded that there was no strong evidence for beneficial vitamin D effects on cardiovascular disease (CVD) risk, but whether individuals with vitamin D deficiency have a higher risk of CVD should be further studied. (2) Aims: We assessed the association between vitamin D levels and CVD events, CVD mortality, and overall mortality in a prospective population-based study in Lausanne, Switzerland. (3) Methods: A total of 5684 participants (53.6% women, 52.5 ± 10.7 years) were followed for a median of 14.4 years [interquartile range: 10.7–16.6]. Vitamin D blood levels were categorized as normal (≥75 nmol/L or 30 ng/mL), insufficient (50–74 nmol/L or 21–29 ng/mL), and deficient (<50 nmol/L or 20 ng/mL). (4) Results: In total, 568 cardiovascular events, 114 cardiovascular deaths, and 679 deaths occurred during follow-up. After multivariate analysis, vitamin D levels were negatively associated with CVD events: hazard ratio and (95% confidence interval) for a 10 nmol/L increase: 0.96 (0.92–0.99). However, no association was found for CVD [0.93 (0.84–1.04)] and overall mortality [0.98 (0.94–1.02)]. No associations were found between vitamin D categories and CVD events, 0.93 (0.71–1.22) and 1.14 (0.87–1.49); CVD deaths, 0.78 (0.41–1.50) and 1.10 (0.57–2.12); and overall mortality, 1.10 (0.82–1.48); and 1.17 (0.87–1.58) for insufficiency and deficiency, respectively. After excluding participants taking vitamin D supplements, similar results were obtained. (5) Conclusion: In this prospective population-based study, vitamin D levels were inversely associated with CVD events but not with CVD or overall mortality.
Effects of Different Doses of Caffeine Supplementation on Collegiate Male Volleyball Players’ Specific Performance and Skills: A Randomized, Double-Blind, Placebo-Controlled, Crossover Study
Authors: Nemati Javad , Hemmatinafar Mohammad , Niknam Alireza , Nikahd Mohammad , Zeighami Narjes , Imanian Babak , Safari Kousar , Jahaniboushehri Nima , Suzuki Katsuhiko
Published: September 2023

Background: The improvement of performance and skill indices of volleyball players can affect their success rate. Therefore, the present study aimed to evaluate the effects of acute caffeine supplementation of varied doses on collegiate volleyball players’ specific performance and skills. Method: This research was a randomized, double-blind, crossover design study in which 15 male volleyball players aged 18 to 25 years participated voluntarily. Participants were randomly placed in three different conditions, including 3 mg of caffeine per kilogram of body weight (C3), 6 mg of caffeine per kilogram of body weight (C6), and a placebo (PLA) with a one-week wash-out period between exercise trials. The supplement was taken 60 min before each exercise session. Ball throwing, hand movement speed, agility, Sargent’s jump and handgrip, and attacking and serving skill tests were measured and analyzed to check the performance and skill of the volleyball players. Results: This study showed a significant increase in agility test in C6 compared with the PLA condition (p = 0.02). Additionally, there was a significant improvement in Sargent’s jump in C6 compared with PLA (p = 0.00) and C6 compared with the C3 condition (p = 0.00). Also, attacking skill significantly increased in C3 compared with PLA (p = 0.00) and C6 compared with the PLA condition (p = 0.00). In addition, there was a significant increase in serving skill for C6 compared with PLA (p = 0.00) and C3 (p = 0.00). However, there were no significant differences in hand movement speed (p = 0.06), left handgrip (p = 0.85), right handgrip (p = 0.47), or medicine ball throwing (p = 0.22) between the three conditions. Conclusions: In conclusion, the findings of the current study suggested that a higher dose of caffeine compared with a lower dose may be more effective in movements requiring lower-body explosive power and the ability to change direction. Also, according to the findings, it seems that caffeine can lead to the improvement of complex skills, such as serving and attacking in volleyball.
Metformin in Gestational Diabetes Mellitus: To Use or Not to Use, That Is the Question
Authors: Tocci Vera , Mirabelli Maria , Salatino Alessandro , Sicilia Luciana , Giuliano Stefania , Brunetti Francesco S. , Chiefari Eusebio , De Sarro Giovambattista , Foti Daniela P. , Brunetti Antonio
Published: September 2023

In recent years, there has been a dramatic increase in the number of pregnancies complicated by gestational diabetes mellitus (GDM). GDM occurs when maternal insulin resistance develops and/or progresses during gestation, and it is not compensated by a rise in maternal insulin secretion. If not properly managed, this condition can cause serious short-term and long-term problems for both mother and child. Lifestyle changes are the first line of treatment for GDM, but if ineffective, insulin injections are the recommended pharmacological treatment choice. Some guidance authorities and scientific societies have proposed the use of metformin as an alternative pharmacological option for treating GDM, but there is not yet a unanimous consensus on this. Although the use of metformin appears to be safe for the mother, concerns remain about its long-term metabolic effects on the child that is exposed in utero to the drug, given that metformin, contrary to insulin, crosses the placenta. This review article describes the existing lines of evidence about the use of metformin in pregnancies complicated by GDM, in order to clarify its potential benefits and limits, and to help clinicians make decisions about who could benefit most from this drug treatment.
Evaluating Known Zika Virus NS2B-NS3 Protease Inhibitor Scaffolds via In Silico Screening and Biochemical Assays
Authors: Santos Lucianna H. , Rocha Rafael E. O. , Dias Diego L. , Ribeiro Beatriz M. R. M. , Serafim Mateus Sá M. , Abrahão Jônatas S. , Ferreira Rafaela S.
Published: September 2023

The NS2B-NS3 protease (NS2B-NS3pro) is regarded as an interesting molecular target for drug design, discovery, and development because of its essential role in the Zika virus (ZIKV) cycle. Although no NS2B-NS3pro inhibitors have reached clinical trials, the employment of drug-like scaffolds can facilitate the screening process for new compounds. In this study, we performed a combination of ligand-based and structure-based in silico methods targeting two known non-peptide small-molecule scaffolds with micromolar inhibitory activity against ZIKV NS2B-NS3pro by a virtual screening (VS) of promising compounds. Based on these two scaffolds, we selected 13 compounds from an initial library of 509 compounds from ZINC15’s similarity search. These compounds exhibited structural modifications that are distinct from previously known compounds yet keep pertinent features for binding. Despite promising outcomes from molecular docking and initial enzymatic assays against NS2B-NS3pro, confirmatory assays with a counter-screening enzyme revealed an artifactual inhibition of the assessed compounds. However, we report two compounds, 9 and 11, that exhibited antiviral properties at a concentration of 50 μM in cellular-based assays. Overall, this study provides valuable insights into the ongoing research on anti-ZIKV compounds to facilitate and improve the development of new inhibitors.
Enhancing Osteoporosis Treatment through Targeted Nanoparticle Delivery of Risedronate: In Vivo Evaluation and Bioavailability Enhancement
Authors: Saifi Zoya , Shafi Sadat , Ralli Tanya , Jain Shreshta , Vohora Divya , Mir Showkat Rasool , Alhalmi Abdulsalam , Noman Omar M. , Alahdab Ahmad , Amin Saima
Published: September 2023

Risedronate-loaded mPEG-coated hydroxyapatite, thiolated chitosan-based (coated) and non-coated nanoparticles were tested for their potential effects in the treatment of osteoporosis. The prepared nanoparticles were evaluated for their bone-targeting potential by inducing osteoporosis in female Wistar rats via oral administration of Dexona (dexamethasone sodium phosphate). In vivo pharmacokinetic and pharmacodynamic studies were performed on osteoporotic rat models treated with different formulations. The osteoporotic model treated with the prepared nanoparticles indicated a significant effect on bone. The relative bioavailability was enhanced for RIS-HA-TCS-mPEG nanoparticles given orally compared to RIS-HA-TCS, marketed, and API suspension. Biochemical investigations also showed a significant change in biomarker levels, ultimately leading to bone formation/resorption. Micro-CT analysis of bone samples also demonstrated that the RIS-HA-TCS-mPEG-treated group showed the best results compared to other treatment groups. Moreover, the histology of bone treated with RIS-HA-TCS-mPEG showed a marked restoration of the architecture of trabecular bone along with a well-connected bone matrix and narrow inter-trabecular spaces compared to the toxic group. A stability analysis was also carried out according to ICH guidelines (Q1AR2), and it was found that RIS-HA-TCS-mPEG was more stable than RIS-HA-TCS at 25 °C. Thus, the results of present study indicated that mPEG-RIS-HA-TCS has excellent potential for sustained delivery of RIS for the treatment and prevention of osteoporosis, and for minimizing the adverse effects of RIS typically induced via oral administration.
Discovery and Potential Utility of a Novel Non-Invasive Ocular Delivery Platform
Authors: Wang Weizhen (Jenny) , Snider Nonna
Published: September 2023

To this day, the use of oily eye drops and non-invasive retinal delivery remain a major challenge. Oily eye drops usually cause ocular irritation and interfere with the normal functioning of the eye, while ocular injections for retinal drug delivery cause significant adverse effects and a high burden on the healthcare system. Here, the authors report a novel topical non-invasive ocular delivery platform (NIODP) through the periorbital skin for high-efficiency anterior and posterior ocular delivery in a non-human primate model (NHP). A single dose of about 7 mg JV-MD2 (omega 3 DHA) was delivered via the NIODP and reached the retina at a Cmax of 111 µg/g and the cornea at a Cmax of 66 µg/g. The NIODP also delivered JV-DE1, an anti-inflammatory agent in development for dry eye diseases, as efficiently as eye drops did to the anterior segments of the NHP. The topical NIODP seems to transport drug candidates through the corneal pathway to the anterior and via the conjunctiva/sclera pathway to the posterior segments of the eye. The novel NIODP method has the potential to reshape the landscape of ocular drug delivery. This is especially the case for oily eye drops and retinal delivery, where the success of the treatment lies in the ocular tolerability and bioavailability of drugs in the target tissue.
Characterisation of Curing of Vinyl Ester Resin in an Industrial Pultrusion Process: Influence of Die Temperature
Authors: Chaparala Sai Ajay Chandra , Alajarmeh Omar , Shelley Tristan , Zeng Xuesen , Rendle-Short Kendric , Voice Dean , Schubel Peter
Published: September 2023

Pultrusion is a high-volume manufacturing process for Fibre-Reinforced Polymer (FRP) composites. It requires careful tuning and optimisation of process parameters to obtain the maximum production rate. The present work focuses on the correlation between the set die temperatures of 80 °C, 100 °C, 120 °C, and 140 °C and the resin cure state at constant pull speeds. Lab-scale oven trials were conducted to understand the thermal behaviour of the resin system and to provide a temperature range for the pultrusion trials. Dielectric Analysis (DEA) was used during pultrusion trials to monitor the effect of die temperature on the cure progression. The DEA results showed that, by increasing die temperature, the exothermic peak shifts closer towards the die entry. Moreover, the degree of cure for samples processed at 140 °C was 97.7%, in comparison to 86.2% for those cured at 100 °C. The rate of conversion and the degree of cure correspond directly to the set die temperatures of the pultrusion trials, contributing to understanding the effect of die temperature on cure progression. Mechanical and thermal material properties were measured. Samples cured at 120 °C showed the highest mechanical performance, exceeding those cured at 140 °C, linked to the generation of higher internal stress due to the higher rate of conversion. This work can be used as a guide for pultruded composite sections, to understand the cure behaviour of resin systems under various applied temperatures and the impact of the die temperature conditions on thermal and mechanical properties.
Recyclable Superhydrophobic Surface Prepared via Electrospinning and Electrospraying Using Waste Polyethylene Terephthalate for Self-Cleaning Applications
Authors: Kim Taegyun , Song Man Gyu , Kim Kanghyun , Jeon Hyungkook , Kim Geon Hwee
Published: September 2023

Superhydrophobic surfaces, i.e., surfaces with a water contact angle (WCA) ≥ 150°, have gained much attention as they are multifunctional surfaces with features such as self-cleaning, which can be useful in various applications such as those requiring waterproof and/or protective films. In this study, we prepared a solution from recycled polyethylene terephthalate (PET) and fabricated a superhydrophobic surface using electrospinning and electrospraying processes. We observed that the fabricated geometry varies depending on the solution conditions, and based on this, we fabricated a hierarchical structure. From the results, the optimized structure exhibited a very high WCA (>156.6°). Additionally, our investigation into the self-cleaning functionality and solar panel efficiency of the fabricated surface revealed promising prospects for the production of superhydrophobic surfaces utilizing recycled PET, with potential applications as protective films for solar panels. Consequently, this research contributes significantly to the advancement of environmentally friendly processes and the progress of recycling technology.
Wearable Capacitive Tactile Sensor Based on Porous Dielectric Composite of Polyurethane and Silver Nanowire
Authors: Hsieh Gen-Wen , Chien Chih-Yang
Published: September 2023

In recent years, the implementation of wearable and biocompatible tactile sensing elements with sufficient response into healthcare, medical detection, and electronic skin/amputee prosthetics has been an intriguing but challenging quest. Here, we propose a flexible all-polyurethane capacitive tactile sensor that utilizes a salt crystal-templated porous elastomeric framework filling with silver nanowire as the composite dielectric material, sandwiched by a set of polyurethane films covering silver nanowire networks as electrodes. With the aids of these cubic air pores and conducting nanowires, the fabricated capacitive tactile sensor provides pronounced enhancement of both sensor compressibility and effective relative dielectric permittivity across a broad pressure regime (from a few Pa to tens of thousands of Pa). The fabricated silver nanowire–porous polyurethane sensor presents a sensitivity improvement of up to 4−60 times as compared to a flat polyurethane device. An ultrasmall external stimulus as light as 3 mg, equivalent to an applied pressure of ∼0.3 Pa, can also be clearly recognized. Our all-polyurethane capacitive tactile sensor based on a porous dielectric framework hybrid with conducting nanowire reveals versatile potential applications in physiological activity detection, arterial pulse monitoring, and spatial pressure distribution, paving the way for wearable electronics and artificial skin.
Green Synthetic Approaches of 2-Hydrazonothiazol-4(5H)-ones Using Sustainable Barium Oxide-Chitosan Nanocomposite Catalyst
Authors: Khalil Khaled D. , Riyadh Sayed M. , Bashal Ali H. , Abolibda Tariq Z. , Gomha Sobhi M.
Published: September 2023

The diverse applications of metal oxide-biopolymer matrix as a nanocomposite heterogenous catalyst have caused many researches to scrutinize the potential of this framework. In this study, a novel hybrid barium oxide-chitosan nanocomposite was synthesized through a facile and cost-effective co-precipitation method by doping barium oxide nanoparticles within the chitosan matrix at a weight percentage of 20 wt.% BaO-chitosan. A thin film of the novel hybrid material was produced by casting the nanocomposite solution in a petri dish. Several instrumental methods, including Fourier-transform infrared (FTIR), scanning electron microscope (SEM), energy dispersive spectroscopy (EDS), and X-ray diffraction (XRD), were used to analyze and characterize the structure of the BaO-CS nanocomposite. The chemical interaction with barium oxide molecules resulted in a noticeable displacement of the most significant chitosan-specific peaks in the FTIR spectra. When the surface morphology of SEM graphs was analyzed, a dramatic morphological change in the chitosan surface was also discovered; this morphological change can be attributed to the surface adsorption of BaO molecules. Additionally, the patterns of the XRD demonstrated that the crystallinity of the material, chitosan, appears to be enhanced upon interaction with barium oxide molecules with the active sites, OH and NH2 groups, along the chitosan backbone. The prepared BaO-CS nanocomposite can be used successfully as an effective heterogenous recyclable catalyst for the reaction of N,N′-(alkane-diyl)bis(2-chloroacetamide) with 2-(arylidinehydrazine)-1-carbothioamide as a novel synthetic approach to prepare 2-hydrazonothiazol-4(5H)-ones. This new method provides a number of benefits, including quick and permissive reaction conditions, better reaction yields, and sustainable catalysts for multiple uses.
Investigation on Nanocomposites of Polysulfone and Different Ratios of Graphene Oxide with Structural Defects Repaired by Cellulose Nanocrystals
Authors: Yu Yansong , Hu Yiwen , Song Xiuduo , Chen Jinyao , Kang Jian , Cao Ya , Xiang Ming
Published: September 2023

In this manuscript, nanofillers of graphene oxide (GO) and cellulose nanocrystal (CNC) with different weight ratios (G/C ratios), named GC 2:1, GC 4:1, GC 8:1, GC 16:1, and GC 32:1, were successfully prepared. Characterization methods such as Raman spectroscopy, X-ray photoelectron spectrometry (XPS), and thermogravimetric analysis (TGA) were performed. Additionally, the effects of these samples on the thermal stability, mechanical properties, and gas barrier properties of polysulfone (PSF) nanocomposites were investigated. A hydrophilic interaction took place between CNC and GO; as a consequence, CNCs were modified on the surface of GO, thus repairing the structural defects of GO. With the increase in G/C ratios, the repair effect of insufficient CNCs on the defects of GO decreased. The G/C ratio had a great influence on the improvement of mechanical properties, thermal stability, and gas barrier properties of nanocomposites. Compared with PSF/GC 2:1 and PSF/GC 32:1, the differences in the growth rates of tensile strength, elongation at break, and Young’s modulus were 30.0%, 39.4%, and 15.9%, respectively; the difference in Td 3% was 7 °C; the difference in decline rate of O2 permeability was 40.0%.
Holden Village Vespers ’23: (Re)Sounding a Transforming Community
Authors: Marchesini Maren Haynes
Published: September 2023

Nestled in the remote Cascade mountains of Washington State, Holden Village operates as a year-round Lutheran retreat center with a robust musical and liturgical culture. While on sabbatical in the Village in 1986, composer Marty Haugen wrote his Holden Evening Prayer liturgy, a now-iconic setting beloved around the world. Known in the Village as Vespers ’86, Haugen’s liturgy soon became canonical. Over 35 years later, however, Vespers ’86 is a fraught icon of collective identity. As Village leadership welcomes a greater diversity of people, Haugen’s liturgical language, theological perspective, and musical style do not universally resonate. Yet others adore—and sometimes demand—Haugen’s liturgy, regarding it as essential to the Village. Suggestions to adapt Haugen’s liturgy have been met with a simple question, one posed by Haugen himself: Why not write a new one? This paper chronicles the collaborative process of liturgical composition at Holden that resulted in Vespers ’23. Centering methodologies of participant-observation and ethnographic interview, I engage the Holden community as a liturgical musician and ethnomusicologist. The resulting paper shows how this unique cohort navigates identity, belonging, tradition, and change through the rich and contested sites of music and liturgy.
Pulled from the Shoreline in Search of Spacious Spirituality: Journeys of Spiritual Distress, Resilience, and Posttraumatic Growth for Women of Evangelical Christian Backgrounds in a Canadian Context
Authors: De Vynck Emma , Boynton Heather Marie , Burns Victoria Frances
Published: September 2023

Religion and spirituality (R/S) provide possibilities for healing, resilience, meaning making, and posttraumatic growth (PTG) in the aftermath of trauma. Still, R/S may also be the precursors and/or sources of harm, resulting in experiences of spiritual distress (SD). While extensive research has examined the positive mental health impacts of R/S, its potential harms are under-investigated. Addressing this gap, this article draws on findings from an interpretative phenomenological analysis (IPA) study with four women of evangelical Christian (EC) backgrounds who have experienced SD. The women’s stories revealed SD as an isolating and profoundly tension-filled experience characterized by painful relational loss, fraught belonging, existential uncertainty, and acute spiritual pain. Several women used the term “trauma” to describe their experiences. This study evidences the tender and isolating complexity of SD. For the women, spirituality served as both a cause and a perpetuator of trauma, and as a vehicle for transcendent meaning making in response to wounding. Ultimately, spirituality is tangled in the women’s distress while also playing a role in their posttraumatic growth. Implications include a call for increased awareness and advocacy regarding SD, as well as a trauma-informed, spiritually sensitive, curious posture from practitioners supporting clients with SD to foster posttraumatic growth.
DASANet: A 3D Object Detector with Density-and-Sparsity Feature Aggregation
Authors: Zhang Qiang , Wei Dongdong
Published: September 2023

In the field of autonomous driving and robotics, 3D object detection is a difficult, but important task. To improve the accuracy of detection, LiDAR, which collects the 3D point cloud of a scene, is updated constantly. But the density of the collected 3D points is low, and its distribution is unbalanced in the scene, which influences the accuracy of 3D object detectors in regards to object location and identification. Although corresponding high-resolution scene images from cameras can be used as supplemental information, poor fusion strategies can result in decreased accuracy compared with that of LiDAR-point-only detectors. Thus, to improve the detection performance for the classification, localization, and even boundary location of 3D objects, a two-stage detector with density-and-sparsity feature aggregation, called DASANet, is proposed in this paper. In the first stage, dense pseudo point clouds are generated with images from cameras and are used to obtain the initial proposals. In the second stage, two novel feature aggregation modules are designed to fuse LiDAR point information and pseudo point information, which refines the semantic and detailed representation of the feature maps. To supplement the semantic information of the highest-scale LiDAR features for object localization and classification, a triple differential information supplement (TDIS) module is presented to extract the LiDAR-pseudo differential features and enhance them in spatial, channel, and global dimensions. To increase the detailed information of the LiDAR features for object boundary location, a Siamese three-dimension coordinate attention (STCA) module is presented to extract stable LiDAR and pseudo point cloud features with a Siamese encoder and fuse these features using a three-dimension coordinate attention. Experiments using the KITTI Vision Benchmark Suite demonstrate the improved performance of our DASANet in regards to the localization and boundary location of objects. The ablation studies demonstrate the effectiveness of the TDIS and the STCA modules.
A Novel Discriminative Enhancement Method for Few-Shot Remote Sensing Image Scene Classification
Authors: Chen Yanqiao , Li Yangyang , Mao Heting , Liu Guangyuan , Chai Xinghua , Jiao Licheng
Published: September 2023

Remote sensing image scene classification (RSISC) has garnered significant attention in recent years. Numerous methods have been put forward in an attempt to tackle this issue, particularly leveraging deep learning methods that have shown promising performance in classifying remote sensing image (RSI). However, it is widely recognized that deep learning methods typically require a substantial amount of labeled data to effectively converge. Acquiring a sufficient quantity of labeled data often necessitates significant human and material resources. Hence, few-shot RSISC has become highly meaningful. Fortunately, the recently proposed deep nearest neighbor neural network based on the attention mechanism (DN4AM) model incorporates episodic training and class-related attention mechanisms, effectively reducing the impact of background noise regions on classification results. Nevertheless, the DN4AM model does not address the problem of significant intra-class variability and substantial inter-class similarities observed in RSI scenes. Therefore, the discriminative enhanced attention-based deep nearest neighbor neural network (DEADN4) is proposed to address the few-shot RSISC task. Our method makes three contributions. Firstly, we introduce center loss to enhance the intra-class feature compactness. Secondly, we utilize the deep local-global descriptor (DLGD) to increase inter-class feature differentiation. Lastly, we modify the Softmax loss by incorporating cosine margin to amplify the inter-class feature dissimilarity. Experiments are conducted on three diverse RSI datasets to gauge the efficacy of our approach. Through comparative analysis with various cutting-edge methods including MatchingNet, RelationNet, MAML, Meta-SGD, DN4, and DN4AM, our approach showcases promising outcomes in the few-shot RSISC task.
Background Reconstruction via 3D-Transformer Network for Hyperspectral Anomaly Detection
Authors: Wu Ziyu , Wang Bin
Published: September 2023

Recently, autoencoder (AE)-based anomaly detection approaches for hyperspectral images (HSIs) have been extensively proposed; however, the reconstruction accuracy is susceptible to the anomalies and noises. Moreover, these AE-based anomaly detectors simply compress each pixel into a hidden-layer with a lower dimension and then reconstruct it, which does not consider the spatial properties among pixels. To solve the above issues, this paper proposes a background reconstruction framework via a 3D-transformer (3DTR) network for anomaly detection in HSIs. The experimental results on both synthetic and real hyperspectral datasets demonstrate that the proposed 3DTR network is able to effectively detect most of the anomalies by comprehensively considering the spatial correlations among pixels and the spectral similarity among spectral bands of HSIs. In addition, the proposed method exhibits fewer false alarms than both traditional and state-of-the-art (including model-based and AE-based) anomaly detectors owing to the adopted pre-detection procedure and the proposed novel patch-generation method in this paper. Moreover, two ablation experiments adequately verified the effectiveness of each component in the proposed method.
CloudDenseNet: Lightweight Ground-Based Cloud Classification Method for Large-Scale Datasets Based on Reconstructed DenseNet
Authors: Li Sheng , Wang Min , Sun Shuo , Wu Jia , Zhuang Zhihao
Published: September 2023

Cloud observation serves as the fundamental bedrock for acquiring comprehensive cloud-related information. The categorization of distinct ground-based clouds holds profound implications within the meteorological domain, boasting significant applications. Deep learning has substantially improved ground-based cloud classification, with automated feature extraction being simpler and far more accurate than using traditional methods. A reengineering of the DenseNet architecture has given rise to an innovative cloud classification method denoted as CloudDenseNet. A novel CloudDense Block has been meticulously crafted to amplify channel attention and elevate the salient features pertinent to cloud classification endeavors. The lightweight CloudDenseNet structure is designed meticulously according to the distinctive characteristics of ground-based clouds and the intricacies of large-scale diverse datasets, which amplifies the generalization ability and elevates the recognition accuracy of the network. The optimal parameter is obtained by combining transfer learning with designed numerous experiments, which significantly enhances the network training efficiency and expedites the process. The methodology achieves an impressive 93.43% accuracy on the large-scale diverse dataset, surpassing numerous published methods. This attests to the substantial potential of the CloudDenseNet architecture for integration into ground-based cloud classification tasks.
Viewpoint Planning for Range Sensors Using Feature Cluster Constrained Spaces for Robot Vision Systems
Authors: Magaña Alejandro , Vlaeyen Michiel , Haitjema Han , Bauer Philipp , Schmucker Benedikt , Reinhart Gunther
Published: September 2023

The efficient computation of viewpoints for solving vision tasks comprising multi-features (regions of interest) represents a common challenge that any robot vision system (RVS) using range sensors faces. The characterization of valid and robust viewpoints is even more complex within real applications that require the consideration of various system constraints and model uncertainties. Hence, to address some of the challenges, our previous work outlined the computation of valid viewpoints as a geometrical problem and proposed feature-based constrained spaces (C-spaces) to tackle this problem efficiently for acquiring one feature. The present paper extends the concept of C-spaces to consider multi-feature problems using feature cluster constrained spaces (GC-spaces). A GC-space represents a closed-form, geometrical solution that provides an infinite set of valid viewpoints for acquiring a cluster of features satisfying diverse viewpoint constraints. Furthermore, the current study outlines a generic viewpoint planning strategy based on GC-spaces for solving vision tasks comprising multi-feature scenarios effectively and efficiently. The applicability of the proposed framework is validated on two different industrial vision systems used for dimensional metrology tasks.
Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback
Authors: Al-Asadi Ahmed , Al-Saedi Ibtesam R. K. , Alwane Saddam K. , Li Hongxiang , Alzubaidi Laith
Published: September 2023

Multiple Input and Multiple Output (MIMO) is a promising technology to enable spatial multiplexing and improve throughput in wireless communication networks. To obtain the full benefits of MIMO systems, the Channel State Information (CSI) should be acquired correctly at the transmitter side for optimal beamforming design. The analytical centre-cutting plane method (ACCPM) has shown to be an appealing way to obtain the CSI at the transmitter side. This paper adopts ACCPM to learn down-link CSI in both single-user and multi-user scenarios. In particular, during the learning phase, it uses the null space beamforming vector of the estimated CSI to reduce the power usage, which approaches zero when the learned CSI approaches the optimal solution. Simulation results show our proposed method converges and outperforms previous studies. The effectiveness of the proposed method was corroborated by applying it to the scattering channel and winner II channel models.
Implementation of MEC-Assisted Collective Perception in an Integrated Artery/Simu5G Simulation Framework
Authors: Kovács Gergely Attila , Bokor László
Published: September 2023

Advanced vehicle-to-everything (V2X) safety applications must operate with ultra-low latency and be highly reliable. Therefore, they require sophisticated supporting technologies. This is especially true for cooperative applications, such as Collective Perception (CP), where a large amount of data constantly flows among vehicles and between vehicles and a network intelligence server. Both low and high-level support is needed for such an operation, meaning that various access technologies and other architectural elements also need to incorporate features enabling the effective use of V2X applications with strict requirements. The new 5G core architecture promises even more supporting technologies, like Multi-access Edge Computing (MEC). To test the performance of these technologies, an integrated framework for V2X simulations with 5G network elements is proposed in the form of combining Simu5G, a standalone 5G implementation, with the go-to V2X-simulator, Artery. As a first step toward a fully functional MEC-assisted CP Service, an extension to Simu5G’s edge implementation is introduced. The edge application is responsible for dispatching the Collective Perception Messages generated by the vehicles via the 5G connectivity so that a MEC server provided by the network can process incoming data. Simulation results prove the operability of the proposed integrated system and edge computing’s potential in assisting V2X scenarios.
A Detecting System for Abrupt Changes in Temporal Incidence Rate of COVID-19 and Other Pandemics
Authors: Song Jiecheng , Tong Guanchao , Zhu Wei
Published: September 2023

COVID-19 spread dramatically across the world in the beginning of 2020. This paper presents a novel alert system that will detect abrupt changes in the COVID-19 or other pandemic incidence rate through the estimated time-varying reproduction number (Rt). We applied the system to detect abrupt changes in the COVID-19 pandemic incidence rates in thirteen world regions with eight in the US and five across the world. Subsequently, we also evaluated the system with the 2009 H1N1 pandemic in Hong Kong. Our system performs well in detecting both the abrupt increases and decreases. Users of the system can obtain accurate information on the changing trend of the pandemic to avoid being misled by low incidence numbers. The world may face other threatening pandemics in the future; therefore, it is crucial to have a reliable alert system to detect impending abrupt changes in the daily incidence rates. An added benefit of the system is its ability to detect the emergence of viral mutations, as different virus strains are likely to have different infection rates.
Preserving the Authenticity of ST25 Rice (Oryza sativa) from the Mekong Delta: A Multivariate Geographical Characterization Approach
Authors: Bui Dinh Tri , Truong Ngoc Minh , Le Viet Anh , Nguyen Hoang Khanh , Bui Quang Minh , Pham Van Thinh , Nguyen Quang Trung
Published: September 2023

The research centers around ST25, a recently acclaimed rice variety lauded as Vietnam’s premier offering. However, its ability to substantiate its origin is impeded by the rampant proliferation of counterfeit derivatives within the market. A distinctive methodology is posited herein, intertwining the attributes of Fourier Transform Infrared Spectroscopy (FTIR) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) analyses, augmented using Principal Component Analysis (PCA). The primary objective is to meticulously ascertain the unadulterated geographic provenance of the ST25 rice cultivar. The findings unequivocally underscore the emergence of a conspicuous taxonomy within the ST25 rice samples sourced from Soc Trang, underpinned by the utilization of both FTIR and ICP-MS datasets. Remarkably, the discernment of eight elemental constituents (27Al, 59Co, 44Ca, 57Fe, 60Ni, 63Cu, 93Nb, and 98Mo) has been adjudicated as pivotal in ascribing geospatial classification. The ramifications of this proposed modality encompass not only the authentication of the subject rice variety but also extend to the validation of similar grain types. Functioning as a potent deterrent against the omnipresent specter of food counterfeiting within the market milieu, this methodology occupies a pivotal niche.
Zero Carbon Ready Metrics for a Single-Family Home in the Sultanate of Oman Based on EDGE Certification System for Green Buildings
Authors: Marzouk Osama A.
Published: September 2023

A single-family house was designed as a new middle-income green residential building in the Sultanate of Oman, according to criteria defined by the green building certification system EDGE (Excellence in Design for Greater Efficiencies), developed by the International Finance Corporation (IFC), which is a member of the World Bank Group (WBG). The design was accomplished through the free cloud-based tool of EDGE. With respect to a base design for the Sultanate of Oman, the green home design achieved savings of 40.86%, 20.22%, and 26.39% in energy, water, and materials (Embodied Energy), respectively. In addition, a saving of 35.48% in greenhouse gas (GHG) emissions was estimated. Based on the completed green building design, four green building-normalized metrics were used to quantify the efficiency of the base case and the design case in terms of the consumption of resources and polluting emissions. These efficiency metrics are: Carbon Emission Index (CEI), Energy Performance Index (EPI), Water Consumption Index (WCI), and Embodied Energy Index (EEI). Out of these green building performance metrics, the EPI is directly provided by EDGE, while the other three are introduced here as additional useful indicators that allow fair evaluations and comparison with other buildings, due to their less stringent dependence on the floor area or the number of occupants.
A Framework for Climate Resilient Urban Design: The Case of Porte de Montreuil, Paris
Authors: Addabbo Nicola , Clemente Maria Fabrizia , Quesada-Ganuza Laura , Abdel Khalek Riwa , Labattaglia Federica , Nocerino Giovanni , Prall Mia , Ruggiero Angela , Stoffels Sara , Tersigni Enza , Verde Sara , Visconti Cristina , Leone Mattia Federico
Published: September 2023

With the increasing frequency and intensity of extreme climate events in cities, it is essential to develop multi-scale and multi-hazard design tools to ensure urban climate resilience. A designed approach to urban development across spatial scales offers the opportunity to integrate diverse fields to create a strong multidisciplinary knowledge base and avoid fragmented planning approaches. This paper proposes a process-based methodological framework for climate resilient urban design-integrating analysis of climate impact with concerns of local communities. A combined focus on climate impact and co-benefits enables a design process with the ability to promote adaptation and mitigation while also addressing diverse urban challenges and responding to local needs and priorities. The proposed methodological framework is applied in the context of the climate resilient urban redevelopment of the Porte de Montreuil district in Paris, France. The results show that the Porte de Montreuil area is at risk from heat waves as a result of the urban characteristics of the area. However, it is possible to suggest specific design measures that integrate local planning priorities with climate resilient design measures to decrease the risk and improve climate resilience in the area.
Does Climate Change News Matter?
Authors: Ferrer Jovelyn , Malagon Juliana , ter Horst Enrique
Published: September 2023

We explore the importance of climate change as a news topic and examine the relationship between climate change news and financial returns using a large news database that consists of more than 4 million news stories. We use multinomial inverse regression—a Bayesian approach capable of handling the multi-dimensionality of our data—to translate news into a quantifiable input. We also build a climate change dictionary from different sources to identify climate change related words. We find that climate change is a persistent topic in our news universe, which indicates that it is a relevant news topic. This relevance is supported by the non-zero contribution of climate change related trigrams (CCRTs) in the constructed news index. However, our sample does not show an increasing trend of the relative daily presence of CCRTs, which signals that the news are unlikely the source that furthers the perceived increasing awareness of climate change. Lastly, we determine the salient CCRTs present during good and bad days of the market. This result highlights the presence in the news of topics related to fuel and energy, emission, climate change, disaster, and fiscal policy.
Exploring the Walkability of Senior Citizens in a Densely Populated Neighborhood of Chennai, India—A Structural Equation Modeling Approach
Authors: Prithviraj Dharmambigai , Sundaram Lakshmi
Published: September 2023

Walking is the most sustainable, safe, and active mode of transportation among the elderly. There is growing evidence that the built environment influences walkability. However, little research has been conducted to assess the perceived built environment correlates for senior citizens walking in low- and middle-income countries. This paper explores the relationship between built environment characteristics and the walkability of senior citizens in Triplicane, Chennai, India. Seniors aged 60 years and above, both men and women, living in Triplicane, Chennai, were interviewed (n = 221). Personal characteristics and perceived built environment factors were assessed using the Neighborhood Environment Walkability Scale for India (NEWS India). Data were analyzed using SPSS 26 and AMOS 21 software. Structural equation modeling (SEM) was conducted to examine the association between the built environment characteristics and the walkability of senior citizens. The results show that built environment attributes, namely pedestrian safety infrastructure, physical barriers of the neighborhood, and aesthetics, have a high impact on walkability among senior citizens.
Multi-Scale Recursive Identification of Urban Functional Areas Based on Multi-Source Data
Authors: Liu Ting , Cheng Gang , Yang Jie
Published: September 2023

The study of urban functional area identification is of great significance for urban function cognition, spatial planning, and economic development. In the identification of urban functional areas, most studies considered only a single data source and a single division scale, the research results have problems such as low update frequency or incomplete information in a single data set, and overfitting or underfitting in a single spatial resolution. Aiming at the above problems, this paper proposes a multi-scale recursive recognition method based on interactive validation for urban functional areas using taxi trajectory data and point of interest (POI) data as the main data sources. First, the dynamic time warping (DTW) algorithm generates a time series similarity matrix, a CA-RFM model combining the clustering algorithm and random forest model is constructed. The model extracts significant feature regions as inputs through a K-medoid clustering algorithm, which are imported into the random forest model for urban functional zone (UFZ) identification. Then, to overcome the shortcomings of a single scale in expressing urban structural characteristics, a recursive model of different levels of urban road networks is established to classify multi-scale functional areas. Finally, cross-validation using the CA-RFM model and POI quantitative identification method obtains the final identification results of urban functional areas. This paper selects Shenzhen as the study area, the results show that the combination of clustering algorithm and random forest model greatly reduces the error of manual selection of training samples. In addition, the study demonstrates the superiority of the proposed method in two aspects, namely, faster delineation and improved accuracy in urban functional area identification.