bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling Anticancer Potential of COX-2 and 5-LOX Inhibitors: Cytotoxicity, Radiosensitization Potential and Antimigratory Activity against Colorectal and Pancreatic Carcinoma
Authors: Bošković Jelena , Dobričić Vladimir , Keta Otilija , Korićanac Lela , Žakula Jelena , Dinić Jelena , Jovanović Stojanov Sofija , Pavić Aleksandar , Čudina Olivera
Published: June 2024

Apart from cytotoxicity, inhibitors of the COX-2 enzyme have demonstrated additional effects important for cancer treatment (such as radiosensitization of tumor cells and cell antimigratory effects); however, the relationship between the inhibition of other inflammation-related enzyme 5-LOX inhibitors and anticancer activity is still not well understood. In our study, the cytotoxicity of thirteen COX-2 and 5-LOX inhibitors previously presented by our group (1–13) was tested on three cancer cell lines (HCT 116, HT-29 and BxPC-3) and one healthy cell line (MRC-5). Compounds 3, 5, 6 and 7 showed moderate cytotoxicity, but good selectivity towards cancer cell lines. IC50 values were in the range of 22.99–51.66 µM (HCT 116 cell line), 8.63–41.20 µM (BxPC-3 cell line) and 24.78–81.60 µM (HT-29 cell line; compound 7 > 100 µM). In comparison to tested, commercially available COX-2 and 5-LOX inhibitors, both cytotoxicity and selectivity were increased. The addition of compounds 6 and 7 to irradiation treatment showed the most significant decrease in cell proliferation of the HT-29 cell line (p < 0.001). The antimigratory potential of the best dual COX-2 and 5-LOX inhibitors (compounds 1, 2, 3 and 5) was tested by a wound-healing assay using the SW620 cell line. Compounds 1 and 3 were singled out as compounds with the most potent effect (relative wound closure was 3.20% (24 h), 5,08% (48 h) for compound 1 and 3.86% (24 h), 7.68% (48 h) for compound 3). Considering all these results, compound 3 stood out as the compound with the most optimal biological activity, with the best dual COX-2 and 5-LOX inhibitory activity, good selectivity towards tested cancer cell lines, significant cell antimigratory potential and a lack of toxic effects at therapeutic doses.
Single-Cell Transcriptomic and Targeted Genomic Profiling Adjusted for Inflammation and Therapy Bias Reveal CRTAM and PLCB1 as Novel Hub Genes for Anti-Tumor Necrosis Factor Alpha Therapy Response in Crohn’s Disease
Authors: Gorenjak Mario , Gole Boris , Goričan Larisa , Jezernik Gregor , Prosenc Zmrzljak Uršula , Pernat Cvetka , Skok Pavel , Potočnik Uroš
Published: June 2024

Background: The lack of reliable biomarkers in response to anti-TNFα biologicals hinders personalized therapy for Crohn’s disease (CD) patients. The motivation behind our study is to shift the paradigm of anti-TNFα biomarker discovery toward specific immune cell sub-populations using single-cell RNA sequencing and an innovative approach designed to uncover PBMCs gene expression signals, which may be masked due to the treatment or ongoing inflammation; Methods: The single-cell RNA sequencing was performed on PBMC samples from CD patients either naïve to biological therapy, in remission while on adalimumab, or while on ustekinumab but previously non-responsive to adalimumab. Sieves for stringent downstream gene selection consisted of gene ontology and independent cohort genomic profiling. Replication and meta-analyses were performed using publicly available raw RNA sequencing files of sorted immune cells and an association analysis summary. Machine learning, Mendelian randomization, and oligogenic risk score methods were deployed to validate DEGs highly relevant to anti-TNFα therapy response; Results: This study found PLCB1 in CD4+ T cells and CRTAM in double-negative T cells, which met the stringent statistical thresholds throughout the analyses. An additional assessment proved causal inference of both genes in response to anti-TNFα therapy; Conclusions: This study, jointly with an innovative design, uncovered novel candidate genes in the anti-TNFα response landscape of CD, potentially obscured by therapy or inflammation.
The Mythological Aspect of Plato’s Phaedo as Disclosing the Soul’s Ontological Significance
Authors: Marren Marina , Marren Kevin C.
Published: June 2024

This essay offers an interpretation of Plato’s Phaedo, which proceeds in two parts: (1) methodological interpretation of myth and (2) application of the method to the analysis of the soul. The paper claims that the myths in this dialogue are not limited to the explicitly mythical sections but that the entirety of the Phaedo—including the arguments that it presents—is saturated with myth. Through this interpretive lens, the soul, as it appears in the Phaedo, ceases to be characterized as a mere thing and gains an ontological dimension.
Flash Pyrolysis of Waste Tires in an Entrained Flow Reactor—An Experimental Study
Authors: Ramani Balan , Anjum Arqam , Bramer Eddy , Dierkes Wilma , Blume Anke , Brem Gerrit
Published: June 2024

In this study, a flash pyrolysis process is developed using an entrained flow reactor for recycling of waste tires. The flash pyrolysis system is tested for process stability and reproducibility of the products under similar operating conditions when operated continuously. The study is performed with two different feedstock materials, i.e., passenger car (PCT) and truck tire (TT) granulates, to understand the influence of feedstock on the yield and properties of the pyrolysis products. The different pyrolytic products i.e., pyrolytic carbon black (pCB), oil, and pyro-gas, are analyzed, and their key properties are discussed. The potential applications for the obtained pyrolytic products are discussed. Finally, a mass and energy balance analysis has been performed for the developed pyrolysis process. The study provides insight into the governing mechanisms of the flash pyrolysis process for waste tires, which is useful to optimize the process depending on the desired applications for the pyrolysis products, and also to scale up the pyrolysis process.
Medieval Holy Sepulchre Chapels: Experience and Memory of Jerusalem
Authors: Hennessy Cecily
Published: June 2024

This paper explores the rituals enacted in or connected with two medieval churches, one walrus ivory cross and a central topic of medieval devotion, Christ’s passion. During Easter Week these memorialised the site in Jerusalem dedicated to the burial of Christ, the holiest place in Christendom. It focuses on the physical elements, the spaces, the paintings and sculpture, the ceremonial objects and relics and the performative nature of rituals associated with them. The Regularis Concordia, composed in Winchester at the end of the 10th century for the use of Benedictine monasteries included sung liturgical enactments based on the gospel accounts of Christ’s burial and resurrection. At the same time, in Saxony, the Abbey at Gernrode was founded for the use of women, secular canonesses, with a space in the south aisle that seems to have represented Christ’s place of burial and was later incorporated into two chambers evoking the Holy Sepulchre Chapel in Jerusalem. In the 12th century in Winchester Cathedral, a Holy Sepulchre Chapel was decorated with wall paintings depicting Christ’s death and resurrection. Around this time, the walrus ivory cross known as the Cloisters Cross was created and appears to have been designed for use in the increasingly elaborate liturgical enactments. The paintings at Winchester Cathedral, the sculpture at Gernrode and the Cloisters Cross each evidence the significance of evoking Christ’s passion and how liturgical space and objects served to bring it to life.
Rewriting the Torah: The Response of the Deuteronomists and Returnees to the Disasters
Authors: Zhang Shuai
Published: June 2024

The Documentary Hypothesis proposed by Julius Wellhausen has sparked discussions for over a century. The core of this debate revolves around the perspective through which the creation of the Torah should be viewed. Previous studies have often neglected the focus on “people”. The Torah was created by individuals and was profoundly influenced by the era in which they lived. In this specific study, instead of concentrating on the texts or historical background, we should focus on the “authors” or “redactors”, exploring how they processed and created the texts under the influence of their times. In Jewish history, the destruction of the Northern Kingdom and the Southern Kingdom played a crucial role in the creation of the Torah. After the fall of the Northern Kingdom, the Deuteronomists, reflecting on historical lessons, formulated a set of legal norms for theology and society, which established theological standards for further interpreting and writing ancient Jewish history. Following the destruction of the Southern Kingdom, Diaspora group and Returnees, centered on reflecting on their catastrophes and responding to contemporary crises, further created and integrated texts of ancestral traditions and the Promised Land, embedding the historical memory of ancestors-land for the Jewish people.
Teaching Asian Religions through the Internet—How Online Representations Interact with Dynamics of Eurocentrism, Orientalism, and Confessionalism in the Case of Italian Teaching of Catholic Religion
Authors: Lapis Giovanni
Published: June 2024

The religions of South and East Asia resist Eurocentric interpretations, such as the so-called World Religion Paradigm. However, they are subjected in various ways to hetero- and auto-orientalist representations that respond to Western ideals and expectations. This article analyzes how Italian Catholic teachers use online representations of East Asian religions in their lessons to teach these traditions. The aim is to shed light on the interplay, facilitated by online environments, between contemporary processes of Eurocentric and Orientalist interpretation and the educational and confessional motivations of confessional religious education teachers. The result of the analysis indicates that these factors concur to reinforce misleading representations, which contradicts the intercultural aims proclaimed by teachers and other Teaching of Catholic Religion stakeholders. Nevertheless, this article also individuates those elements that could be fruitfully framed in an academic study-of-religions perspective and suggests a modality of cooperation between Catholic Religion teachers and scholars of religions.
Linguistic Contributions of Protestant Missionaries in South China: An Overview of Cantonese Religious and Pedagogical Publications (1828–1939)
Authors: Kataoka Shin , Lee Yin Ping
Published: June 2024

Robert Morrison 馬禮遜, the first Protestant missionary to China, came to Guangdong as an employee of the East India Company and with the support of the London Missionary Society in 1807. Amongst his path-breaking translation work, he published the first Chinese Bible (Shen Tian Shengshu 神天聖書) in 1823. As many foreigners in Guangdong could not speak Cantonese, Morrison compiled a three-volume Cantonese learning aid, A Vocabulary of the Canton Dialect (1828), using specifically Cantonese Chinese characters and his Cantonese romanization system. In consequence, missionaries translated Christian literature and the Bible into Cantonese, for they realized that proficiency in Cantonese was essential for proselytization among ordinary people. Over the past twenty years, we have collected and identified around 260 Cantonese works written and translated by Western Protestant missionaries, and these Cantonese writings can be categorized as follows: 1. dictionaries; 2. textbooks; 3. Christian literature; 4. Bibles; and 5. miscellanea. In the study of the Western Protestant missions, their linguistic contribution is relatively under-represented. Through analyzing the phonological, lexical, and grammatical features of early Cantonese expressions in these selected missionary works, we strive to highlight the missionaries’ contributions to the diachronic study of the Cantonese language in modern southern China.
Ways to Get and End Marriage: Relationships between Marriage and Divorce Rituals during the Coronavirus
Authors: Balatonyi Judit Flóra
Published: June 2024

During the pandemic, Hungary was the only country in the world where the number of marriages not only decreased but also increased. Parallel to this, in the five years prior to the pandemic there were not as many divorces in Hungary as afterwards. Every year since late socialism, there were at least 10,000 fewer new marriages than marriages ending in divorce or death; a trend that was broken in 2019 when the government introduced new loans for married people at a favorable interest rate, representing a quasi-money injection to support people officially getting married (instead of merely cohabiting). Based on my digital anthropological research, I focus on the complex relationship between getting married and the end-of-marriage rituals. I found that the changes in the meanings of marriage influenced not only getting married but also the eventual end-of-marriage rituals. All these factors, as well as the specific reasons for divorce and separation (e.g., the desire to remarry), are related to the way in which end-of-marriage rituals are scripted and interpreted.
Three-Dimensional Rockslide Analysis Using Unmanned Aerial Vehicle and LiDAR: The Castrocucco Case Study, Southern Italy
Authors: Minervino Amodio Antonio , Corrado Giuseppe , Gallo Ilenia Graziamaria , Gioia Dario , Schiattarella Marcello , Vitale Valentino , Robustelli Gaetano
Published: June 2024

Rockslides are one of the most dangerous hazards in mountainous and hilly areas. In this study, a rockslide that occurred on 30 November 2022 in Castrocucco, a district located in the Italian municipality of Maratea (Potenza province) in the Basilicata region, was investigated by using pre- and post-event high-resolution 3D models. The event caused a great social alarm as some infrastructures were affected. The main road to the tourist hub of Maratea was, in fact, destroyed and made inaccessible. Rock debris also affected a beach club and important boat storage for sea excursions to Maratea. This event was investigated by using multiscale and multisensor close-range remote sensing (LiDAR and SfM) to determine rockslide characteristics. The novelty of this work lies in how these data, although not originally acquired for rockslide analysis, have been integrated and utilized in an emergency at an almost inaccessible site. The event was analyzed both through classical geomorphological analysis and through a quantitative comparison of multi-temporal DEMs (DoD) in order to assess (i) all the morphological features involved, (ii) detached volume (approximately 8000 m3), and (iii) the process of redistributing and reworking the landslide deposit in the depositional area.
Assessing Ecological Impacts and Recovery in Coal Mining Areas: A Remote Sensing and Field Data Analysis in Northwest China
Authors: Song Deyun , Hu Zhenqi , Yu Yi , Zhang Fan , Sun Huang
Published: June 2024

In the coal-rich provinces of Shanxi, Shaanxi, and Inner Mongolia, the landscape bears the scars of coal extraction—namely subsidence and deformation—that disrupt both the terrain and the delicate ecological balance. This research delves into the transformative journey these mining regions undergo, from pre-mining equilibrium, through the tumultuous phase of extraction, to the eventual restoration of stability post-reclamation. By harnessing a suite of analytical tools, including sophisticated remote sensing, UAV aerial surveys, and the meticulous ground-level sampling of flora and soil, the study meticulously measures the environmental toll of mining activities and charts the path to ecological restoration. The results are promising, indicating that the restoration initiatives are effectively healing the landscapes, with proactive interventions such as seeding, afforestation, and land rehabilitation proving vital in the swift ecological turnaround. Remote sensing technology, in particular, emerges as a robust ally in tracking ecological shifts, supporting sustainable practices and guiding ecological management strategies. This study offers a promising framework for assessing geological environmental shifts, which may guide policymakers in shaping the future of mining rehabilitation in arid and semi-arid regions.
CLIP-Driven Few-Shot Species-Recognition Method for Integrating Geographic Information
Authors: Liu Lei , Yang Linzhe , Yang Feng , Chen Feixiang , Xu Fu
Published: June 2024

Automatic recognition of species is important for the conservation and management of biodiversity. However, since closely related species are visually similar, it is difficult to distinguish them by images alone. In addition, traditional species-recognition models are limited by the size of the dataset and face the problem of poor generalization ability. Visual-language models such as Contrastive Language-Image Pretraining (CLIP), obtained by training on large-scale datasets, have excellent visual representation learning ability and demonstrated promising few-shot transfer ability in a variety of few-shot species recognition tasks. However, limited by the dataset on which CLIP is trained, the performance of CLIP is poor when used directly for few-shot species recognition. To improve the performance of CLIP for few-shot species recognition, we proposed a few-shot species-recognition method incorporating geolocation information. First, we utilized the powerful feature extraction capability of CLIP to extract image features and text features. Second, a geographic feature extraction module was constructed to provide additional contextual information by converting structured geographic location information into geographic feature representations. Then, a multimodal feature fusion module was constructed to deeply interact geographic features with image features to obtain enhanced image features through residual connection. Finally, the similarity between the enhanced image features and text features was calculated and the species recognition results were obtained. Extensive experiments on the iNaturalist 2021 dataset show that our proposed method can significantly improve the performance of CLIP’s few-shot species recognition. Under ViT-L/14 and 16-shot training species samples, compared to Linear probe CLIP, our method achieved a performance improvement of 6.22% (mammals), 13.77% (reptiles), and 16.82% (amphibians). Our work provides powerful evidence for integrating geolocation information into species-recognition models based on visual-language models.
Highlighting the Use of UAV to Increase the Resilience of Native Hawaiian Coastal Cultural Heritage
Authors: Steward Kainalu K. , Ninomoto Brianna K. , Kane Haunani H. , Burns John H. R. , Mead Luke , Anthony Kamala , Mossman Luka , Olayon Trisha , Glendon-Baclig Cybil K. , Kauahi Cherie
Published: June 2024

The use of Uncrewed Aerial Vehicles (UAVs) is becoming a preferred method for supporting integrated coastal zone management, including cultural heritage sites. Loko i′a, traditional Hawaiian fishponds located along the coastline, have historically provided sustainable seafood sources. These coastal cultural heritage sites are undergoing revitalization through community-driven restoration efforts. However, sea level rise (SLR) poses a significant climate-induced threat to coastal areas globally. Loko i′a managers seek adaptive strategies to address SLR impacts on flooding, water quality, and the viability of raising native fish species. This study utilizes extreme tidal events, known as King Tides, as a proxy to estimate future SLR scenarios and their impacts on loko i′a along the Keaukaha coastline in Hilo, Hawai′i. In situ water level sensors were deployed at each site to assess flooding by the loko i′a type and location. We also compare inundation modeled from UAV-Structure from Motion (SfM) Digital Elevation Models (DEM) to publicly available Light Detection and Ranging (LiDAR) DEMs, alongside observed flooding documented by UAV imagery in real time. The average water levels (0.64 m and 0.88 m) recorded in this study during the 2023 King Tides are expected to reflect the average sea levels projected for 2060–2080 in Hilo, Hawai′i. Our findings indicate that high-resolution UAV-derived DEMs accurately model observed flooding (with 89% or more agreement), whereas LiDAR-derived flood models significantly overestimate observed flooding (by 2–5 times), outlining a more conservative approach. To understand how UAV datasets can enhance the resilience of coastal cultural heritage sites, we looked into the cost, spatial resolution, accuracy, and time necessary for acquiring LiDAR- and UAV-derived datasets. This study ultimately demonstrates that UAVs are effective tools for monitoring and planning for the future impacts of SLR on coastal cultural heritage sites at a community level.
Comprehensive Ecological Risk Changes and Their Relationship with Ecosystem Services of Alpine Grassland in Gannan Prefecture from 2000–2020
Authors: Ma Zhanping , Gao Jinlong , Liang Tiangang , He Zhibin , Feng Senyao , Zhang Xuanfan , Zhang Dongmei
Published: June 2024

Alpine grassland is one of the most fragile and sensitive ecosystems, and it serves as a crucial ecological security barrier on the Tibetan Plateau. Due to the combined influence of climate change and human activities, the degradation of the alpine grassland in Gannan Prefecture has been increasing recent years, causing increases in ecological risk (ER) and leading to the grassland ecosystem facing unprecedented challenges. In this context, it is particularly crucial to construct a potential grassland damage index (PGDI) and assessment framework that can be used to effectively characterize the damage and risk to the alpine grassland ecosystem. This study comprehensively uses multi-source data to construct a PGDI based on the grassland resilience index, landscape ER index, and grass–livestock balance index. Thereafter, we proposed a feasible framework for assessing the comprehensive ER of alpine grassland and analyzed the responsive relationship between the comprehensive ER and comprehensive ecosystem services (ESs) of the grassland. There are four findings. The first is that the comprehensive ER of the alpine grassland in Gannan Prefecture from 2000–2020 had a low distribution in the southeast and a high distribution trend in the northwest, with medium risk (29.27%) and lower risk (27.62%) dominating. The high-risk area accounted for 4.58% and was mainly in Lintan County, the border between Diebu and Zhuoni Counties, the eastern part of Xiahe County, and the southwest part of Hezuo. Second, the comprehensive ESs showed a pattern of low distribution in the northwest and high distribution in the southeast. The low and lower services accounted for only 9.30% of the studied area and were mainly distributed in the west of Maqu County and central Lintan County. Third, the Moran’s index values for comprehensive ESs and ER for 2000, 2005, 2010, 2015, and 2020 were −0.246, −0.429, −0.348, −0.320, and −0.285, respectively, thereby indicating significant negative spatial autocorrelation for all aspects. Fourth, ER was caused by the combined action of multiple factors. There are significant differences in the driving factors that affect ER. Landscape index is the first dominant factor affecting ER, with q values greater than 0.25, followed by DEM and NDVI. In addition, the interaction between diversity index and NDVI had the greatest impact on ER. Overall, this study offers a new methodological framework for the quantification of comprehensive ER in alpine grasslands.
Multi-Scale Window Spatiotemporal Attention Network for Subsurface Temperature Prediction and Reconstruction
Authors: Jiang Jiawei , Wang Jun , Liu Yiping , Huang Chao , Jiang Qiufu , Feng Liqiang , Wan Liying , Zhang Xiangguang
Published: June 2024

In this study, we investigate the feasibility of using historical remote sensing data to predict the future three-dimensional subsurface ocean temperature structure. We also compare the performance differences between predictive models and real-time reconstruction models. Specifically, we propose a multi-scale residual spatiotemporal window ocean (MSWO) model based on a spatiotemporal attention mechanism, to predict changes in the subsurface ocean temperature structure over the next six months using satellite remote sensing data from the past 24 months. Our results indicate that predictions made using historical remote sensing data closely approximate those made using historical in situ data. This finding suggests that satellite remote sensing data can be used to predict future ocean structures without relying on valuable in situ measurements. Compared to future predictive models, real-time three-dimensional structure reconstruction models can learn more accurate inversion features from real-time satellite remote sensing data. This work provides a new perspective for the application of artificial intelligence in oceanography for ocean structure reconstruction.
Assessing Ice Break-Up Trends in Slave River Delta through Satellite Observations and Random Forest Modeling
Authors: Moalemi Ida , Kheyrollah Pour Homa , Scott K. Andrea
Published: June 2024

The seasonal temperature trends and ice phenology in the Great Slave Lake (GSL) are significantly influenced by inflow from the Slave River. The river undergoes a sequence of mechanical break-ups all the way to the GSL, initiating the GSL break-up process. Additionally, upstream water management practices impact the discharge of the Slave River and, consequently, the ice break-up of the GSL. Therefore, monitoring the break-up process at the Slave River Delta (SRD), where the river meets the lake, is crucial for understanding the cascading effects of upstream activities on GSL ice break-up. This research aimed to use Random Forest (RF) models to monitor the ice break-up processes at the SRD using a combination of satellite images with relatively high spatial resolution, including Landsat-5, Landsat-8, Sentinel-2a, and Sentinel-2b. The RF models were trained using selected training pixels to classify ice, open water, and cloud. The onset of break-up was determined by data-driven thresholds on the ice fraction in images with less than 20% cloud coverage. Analysis of break-up timing from 1984 to 2023 revealed a significant earlier trend using the Mann–Kendall test with a p-value of 0.05. Furthermore, break-up data in recent years show a high degree of variability in the break-up rate using images in recent years with better temporal resolution.
SRBPSwin: Single-Image Super-Resolution for Remote Sensing Images Using a Global Residual Multi-Attention Hybrid Back-Projection Network Based on the Swin Transformer
Authors: Qin Yi , Wang Jiarong , Cao Shenyi , Zhu Ming , Sun Jiaqi , Hao Zhicheng , Jiang Xin
Published: June 2024

Remote sensing images usually contain abundant targets and complex information distributions. Consequently, networks are required to model both global and local information in the super-resolution (SR) reconstruction of remote sensing images. The existing SR reconstruction algorithms generally focus on only local or global features, neglecting effective feedback for reconstruction errors. Therefore, a Global Residual Multi-attention Fusion Back-projection Network (SRBPSwin) is introduced by combining the back-projection mechanism with the Swin Transformer. We incorporate a concatenated Channel and Spatial Attention Block (CSAB) into the Swin Transformer Block (STB) to design a Multi-attention Hybrid Swin Transformer Block (MAHSTB). SRBPSwin develops dense back-projection units to provide bidirectional feedback for reconstruction errors, enhancing the network’s feature extraction capabilities and improving reconstruction performance. SRBPSwin consists of the following four main stages: shallow feature extraction, shallow feature refinement, dense back projection, and image reconstruction. Firstly, for the input low-resolution (LR) image, shallow features are extracted and refined through the shallow feature extraction and shallow feature refinement stages. Secondly, multiple up-projection and down-projection units are designed to alternately process features between high-resolution (HR) and LR spaces, obtaining more accurate and detailed feature representations. Finally, global residual connections are utilized to transfer shallow features during the image reconstruction stage. We propose a perceptual loss function based on the Swin Transformer to enhance the detail of the reconstructed image. Extensive experiments demonstrate the significant reconstruction advantages of SRBPSwin in quantitative evaluation and visual quality.
Design and Implementation of an Ontology for Measurement Terminology in Digital Calibration Certificates
Authors: Wang Shuaizhe , Du Mingxin , Liu Zilong , Luo Yuqi , Xiong Xingchuang
Published: June 2024

Digital Calibration Certificates (DCCs) are a key focus in metrology digitalization, necessitating that they satisfy the criteria for machine readability and understandability. Current DCCs are machine-readable, but they are still missing the essential semantic information required for machine understandability. This shortfall is particularly notable in the lack of a dedicated semantic ontology for measurement terminologies. This paper proposes a domain ontology for measurement terminologies named the OMT (Ontology for Measurement Terminology), using a foundation of metrological terms from standards like the International Vocabulary of Metrology (VIM), the Guide to the Expression of Uncertainty in Measurement (GUM), and JJF1001. It also incorporates insights from models such as the SI Reference Point, the Simple Knowledge Organization System (SKOS), and the DCC Schema. The methodology was guided by Stanford’s Seven-Step Method, ensuring a systematic development process tailored to the needs of metrological semantics. Through semantic expression capability verification and SPARQL query validations, the OMT has been confirmed to possess essential machine readability and understandability features. It has been successfully integrated into version 3.2.1 of DCCs across ten representative domains. This integration demonstrates an effective method for ensuring that DCCs are machine-readable and capable of interoperating within digital environments, thereby advancing the research in metrology digitization.
Acceleration for Efficient Automated Generation of Operational Amplifiers
Authors: Zhao Zhenxin , Liu Jun , Zhang Lihong
Published: June 2024

Operational amplifiers (Op-Amps) are critical to sensor systems because they enable precise, reliable, and flexible signal processing. Current automated Op-Amp generation methods suffer from extremely low efficiency because the time-consuming SPICE-in-the-loop sizing is normally involved as its inner loop. In this paper, we propose an efficiently automated Op-Amp generation tool using a hybrid sizing method, which combines the merits together from a deterministic optimization algorithm and differential evolution algorithm. Thus, it can not only quickly find a decent local optimum, but also eventually converge to a global optimum. This feature is well fit to be serving as an acute filter in the circuit structure evaluation flow to efficiently eliminate any undesirable circuit structures in advance of detailed sizing. Our experimental results demonstrate its superiority over traditional sizing approaches and show its efficacy in highly boosting the efficiency of automated Op-Amp structure generation.
Optimal Piecewise Polynomial Approximation for Minimum Computing Cost by Using Constrained Least Squares
Authors: Song Jieun , Lee Bumjoo
Published: June 2024

In this paper, the optimal approximation algorithm is proposed to simplify non-linear functions and/or discrete data as piecewise polynomials by using the constrained least squares. In time-sensitive applications or in embedded systems with limited resources, the runtime of the approximate function is as crucial as its accuracy. The proposed algorithm searches for the optimal piecewise polynomial (OPP) with the minimum computational cost while ensuring that the error is below a specified threshold. This was accomplished by using smooth piecewise polynomials with optimal order and numbers of intervals. The computational cost only depended on polynomial complexity, i.e., the order and the number of intervals at runtime function call. In previous studies, the user had to decide one or all of the orders and the number of intervals. In contrast, the OPP approximation algorithm determines both of them. For the optimal approximation, computational costs for all the possible combinations of piecewise polynomials were calculated and tabulated in ascending order for the specific target CPU off-line. Each combination was optimized through constrained least squares and the random selection method for the given sample points. Afterward, whether the approximation error was below the predetermined value was examined. When the error was permissible, the combination was selected as the optimal approximation, or the next combination was examined. To verify the performance, several representative functions were examined and analyzed.
Robust Multi-Modal Image Registration for Image Fusion Enhancement in Infrastructure Inspection
Authors: Shahsavarani Sara , Lopez Fernando , Ibarra-Castanedo Clemente , Maldague Xavier P. V.
Published: June 2024

Efficient multi-modal image fusion plays an important role in the non-destructive evaluation (NDE) of infrastructures, where an essential challenge is the precise visualizing of defects. While automatic defect detection represents a significant advancement, the determination of the precise location of both surface and subsurface defects simultaneously is crucial. Hence, visible and infrared data fusion strategies are essential for acquiring comprehensive and complementary information to detect defects across vast structures. This paper proposes an infrared and visible image registration method based on Euclidean evaluation together with a trade-off between key-point threshold and non-maximum suppression. Moreover, we employ a multi-modal fusion strategy to investigate the robustness of our image registration results.
High-Resolution and Large-Dynamic Range Fiber-Optic Sensors Based on Dual-Mode Direct Spectrum Interrogation Method
Authors: Zhou Min , Zhang Zhe , Cui Qingyue , Lin Qingdian , Yu Jun , Guo Xiaoyang , Zhou Cangtao , Ruan Shuangchen
Published: June 2024

Conventional optical fiber temperature/strain sensors often have to make compromises between the resolution and the dynamic range. Here we present a new method that meets the measurement requirements for both high resolution and large dynamic range. A high-quality optical fiber Fabry-Perot Interferometer (FPI) constructed using a pair of chirped fiber Bragg gratings is employed as the sensor and a dual-mode direct spectrum interrogation method is proposed to identify the small drift of external temperature or strain. As a proof-of-concept illustration, a temperature resolution of 0.2 °C within 30–130 °C is demonstrated. For strain sensing, the resolution can be 10 µε within 0–1000 µε. The measurement resolution can be improved further by routinely increasing the reflectivity of the CFBG and the cavity length and the sensor can also be mass-produced. This new sensing schema not only resolves the conflict between the resolution and the dynamic range of fiber-optic temperature/strain sensors but can also be extended to other sensors and measurands.
Superconducting Quantum Magnetometer Based on Flux Focusing Effect for High-Sensitivity Applications
Authors: Vettoliere Antonio , Granata Carmine
Published: June 2024

A superconducting quantum magnetometer for high-sensitivity applications has been developed by exploiting the flux focusing of the superconducting loop. Unlike conventional dc SQUID magnetometers that use a superconducting flux transformer or a multiloop design, in this case, a very simple design has been employed. It consists of a bare dc SQUID with a large washer-shaped superconducting ring in order to guarantee a magnetic field sensitivity BΦ less than one nT/Φ0. The degradation of the characteristics of the device due to an inevitable high value of the inductance parameter βL was successfully compensated by damping the inductance of the dc SQUID. The size of the magnetometer, coinciding with that of the washer, is 5 × 5 mm2 and the spectral density of the magnetic field noise is 8 fT/√Hz with a low frequency noise knee of two Hz. The excellent performance of this simple magnetometer makes it usable for all high-sensitivity applications including magnetoencephalography.
Ultra-High Vacuum Cells Realized by Miniature Ion Pump Using High-Efficiency Plasma Source
Authors: Kurashima Yuichi , Maeda Atsuhiko , Oshima Naoto , Motomura Taisei , Matsumae Takashi , Watanabe Mitsuhiro , Takagi Hideki
Published: June 2024

In recent years, there has been significant interest in quantum technology, characterized by the emergence of quantum computers boasting immense processing power, ultra-sensitive quantum sensors, and ultra-precise atomic clocks. Miniaturization of quantum devices using cold atoms necessitates the employment of an ultra-high vacuum miniature cell with a pressure of approximately 10−6 Pa or even lower. In this study, we developed an ultra-high vacuum cell realized by a miniature ion pump using a high-efficiency plasma source. Initially, an unsealed miniature ion pump was introduced into a vacuum chamber, after which the ion pump’s discharge current, depending on vacuum pressures, was evaluated. Subsequently, a miniature vacuum cell was fabricated by hermetically sealing the miniature vacuum pump. The cell was successfully evacuated by a miniature ion pump down to an ultra-high vacuum region, which was derived by the measured discharge current. Our findings demonstrate the feasibility of achieving an ultra-high vacuum cell necessary for the operation of miniature quantum devices.
Technologies for Evaluation of Pelvic Floor Functionality: A Systematic Review
Authors: Förstl Nikolas , Adler Ina , Süß Franz , Dendorfer Sebastian
Published: June 2024

Pelvic floor dysfunction is a common problem in women and has a negative impact on their quality of life. The aim of this review was to provide a general overview of the current state of technology used to assess pelvic floor functionality. It also provides literature research of the physiological and anatomical factors that correlate with pelvic floor health. This systematic review was conducted according to the PRISMA guidelines. The PubMed, ScienceDirect, Cochrane Library, and IEEE databases were searched for publications on sensor technology for the assessment of pelvic floor functionality. Anatomical and physiological parameters were identified through a manual search. In the systematic review, 114 publications were included. Twelve different sensor technologies were identified. Information on the obtained parameters, sensor position, test activities, and subject characteristics was prepared in tabular form from each publication. A total of 16 anatomical and physiological parameters influencing pelvic floor health were identified in 17 published studies and ranked for their statistical significance. Taken together, this review could serve as a basis for the development of novel sensors which could allow for quantifiable prevention and diagnosis, as well as particularized documentation of rehabilitation processes related to pelvic floor dysfunctions.
Correction: Inglezakis et al. Chemical Engineering beyond Earth: Astrochemical Engineering in the Space Age. Sustainability 2023, 15, 13227
Authors: Inglezakis Vassilis J. , Rapp Donald , Razis Panos , Zorpas Antonis A.
Published: June 2024

The authors would like to make the following corrections to the published paper [...]
Unveiling Millennials’ Perceptions of Organic Products: A Grounded Theory Analysis in Ecuador and Peru
Authors: Ortiz-Regalado Oscar , Llamo-Burga Mary , Carrión-Bósquez Nelson , Chávez-Gutiérrez Harum , Guerra-Regalado Wilson , Veas-González Iván , Ruiz-García Wilfredo , Vidal-Silva Cristian
Published: June 2024

In today’s society, the consumption of organic products presents both significant benefits and potential barriers, as evidenced by the intrinsic and extrinsic factors shaping consumer behavior among university-aged millennials. This study explores the motivators influencing consumer behavior toward organic product purchases and identifies barriers that may inhibit university-aged millennials from engaging in such consumption practices. Utilizing a qualitative research approach, data were gathered through semi-structured interviews with thirty-eight university students in Ecuador and Peru. The analysis employed Grounded Theory methods. The findings of this research indicate that intrinsic factors, including environmental awareness, eco-consciousness, habitual tendencies, health considerations, and personal values, in conjunction with extrinsic factors, such as familial and social influences and concerns regarding the COVID-19 pandemic, are significant drivers of the adoption of organic goods. Conversely, challenges related to product availability, cost implications, and prevalent skepticism occasionally hinder the acquisition of these products. An innovative aspect of this study lies in its pioneering use of Grounded Theory in Ecuador and Peru. It sheds light on millennials’ perceptions of organic products and elucidates the factors influencing their purchasing decisions in the organic market.
Performance Evaluations of Warm-Mix Reaction-Rejuvenated SBS Modified Asphalt Mixtures Incorporated with Wax-Based Additive
Authors: Liu Zihui , Chen Qi , Pei Junwen , Wang Ruiyang , Shen Weili , Huang Chao , Liu Jialiang , Xu Xiong
Published: June 2024

The high-performance, cleaner rejuvenation of aged SBS-modified asphalt mixtures (ASBSMAMs) has been a hotspot in asphalt research. Currently, the most popular rejuvenation method still involves hot-mix asphalt with a commonly used oil as the rejuvenator for recycling. However, high-quality, cleaner warm-mix rejuvenation technology for ASBSMAMs is still needed to enrich this field. This study considered adopting a polyurethane (PU) prepolymer and 1,4-butanediol diglycidyl ether (BUDGE) as reactive rejuvenators to achieve warm-mix reaction–rejuvenation to enhance the properties of ASBSMAMs with the use of a wax-based additive, Sasobit. A series of tests were conducted to realize this, including the viscosity–temperature correlation of the rejuvenated binders, as well as tests of the moisture-induced damage, high-temperature stability, low-temperature cracking resistance, and fatigue resistance of the rejuvenated mixtures. The results showed the following: through reaction–rejuvenation, Sasobit could reduce the viscosity of the rejuvenated SBSMA (RSBSMA) below 150 °C for warm mixing and slightly decrease the viscosity–temperature susceptibility; warm-mix reaction–rejuvenation helped to improve the resistance to water-immersion-induced damage and freeze–thaw damage in ASBSMAMs; the addition of Sasobit showed benefits in improving their resistance to permanent deformation, with the dynamic stability values exceeding 5700 pass/mm as more than 1% Sasobit was added; the flexural damage resistance of ASBSMAMs at low temperatures could be enhanced after warm-mix reaction–rejuvenation; and, under reaction–rejuvenation conditions, Sasobit did not reduce the fatigue resistance of the RSBSMAM and, conversely, at limited higher dosages, it worked more effectively. Overall, the studied warm-mix reaction–rejuvenation technology has been proven to be effective for the environmental recycling and reuse of ASBSMAMs at high quality.
Design Enhancement of Grid-Connected Residential PV Systems to Meet the Saudi Electricity Regulations
Authors: Alfaris Faris E. , Al-Ammar Essam A. , Ghazi Ghazi A. , Al-Katheri Ahmed A.
Published: June 2024

Distributed grid-connected photovoltaic (PV) generation explores several methods that produce energy at or near the point of consumption, with the aim of reducing electricity losses among transmission networks. Consequently, home on-grid PV applications have garnered increased interest from both scientific researchers and industry professionals over the last decade. Nevertheless, the growing installation of intermittent nature residential PV systems (R-PV) in low-voltage distribution networks is leading to more cautious considerations of technology limitations and PV design challenges. This conservative perspective arises from the standpoint of grid quality and security, ultimately resulting in the revocation of PV connection authorization. Hence, the design of R-PV systems should consider not only the specifications of the PV panels and load profiles but also the characteristics and requirements of the connected power grid. This project therefore seeks to enhance the design considerations of grid-connected PV systems, in order to help the end-users meet the grid codes set out by the Saudi Electricity Regulatory Authority (SERA). Since the maximum amount of generated power is essential for PV system optimization, the ratio of grid strength to maximum transmitted power was employed to ascertain the suitable capacity of the PV system, while the assessment of PV power output was utilized to specify the system size. Furthermore, a battery energy storage system (BESS) with a small size (~10% of the PV capacity) is employed to enhance the PV power quality for a dependable grid interconnection. The BESS is equipped with a versatile power controller in order to achieve the designed objectives. The obtained results show an essential advancement in terms of power quality and reliability at the customer’s connection point. Moreover, with the design assessment process, the low-voltage ride-through (LVRT) and power factor requirements can be met, in addition to the total harmonic distortion (THD) and frequency transient limitations. The proposed solution assists end-users in efficiently designing their own R-PV systems while ensuring quality and sustainability for authorized grid interconnection.
Optimal Maintenance Policy for Equipment Submitted to Multi-Period Leasing as a Circular Business Model
Authors: Ben Mabrouk Amel , Chelbi Anis , Aguir Mohamed Salah , Dellagi Sofiene
Published: June 2024

The leasing of various types of equipment plays a significant role in reducing resource consumption, reducing the need for frequent replacements, and lessening the environmental impact of equipment manufacturing and disposal. This paper examines a maintenance policy for equipment that is leased multiple times throughout its lifespan. If the equipment fails to perform as expected within the basic and extended warranty durations, the lessor makes minimal repairs at its own expense. Once the warranty period has elapsed, the lessor is still responsible for carrying out any necessary repairs, but the lessee is required to pay for them. The warranty periods are not uniform. To reduce the frequency of breakdowns, the lessor carries out preventive maintenance (PM) between successive lease periods, with the aim of reducing the age of the equipment to some extent. The costs associated with PM depend on the set of actions to be performed and their associated efficiency in terms of age reduction. A mathematical model is proposed to simultaneously find the optimal efficiency levels of PM to be carried out between successive lease periods and the optimal extended warranty periods to be offered to lessees in order to maximize the lessor’s expected total profit throughout the equipment’s lifecycle. To demonstrate the use of the developed model, a numerical example and a sensitivity study are discussed. Our model demonstrates its ability to provide valuable insights and facilitate decision-making in the establishment of leasing contracts.