bluuebunny/crossref_metadata_2025 huggingface dataset:
Cu2O-Electrodeposited TiO2 Photoelectrode for Integrated Solar Redox Flow Battery
Authors: Zhang Zihan , Lu Ping , Gu Zixing , Ma Qiang , Guo Zhizhong , Su Huaneng , Xu Qian
Published: September 2023

TiO2 photoelectrode has become an attractive platform due to its excellent photoelectric performance and has been widely used in battery, photocatalysis, and other photoelectric fields. However, when the TiO2 photoelectrode is used in solar flow batteries, the small photo-charging current is a potential problem, which will extend the charging process and lower the battery utilization efficiency. To address this issue, Cu2O is introduced to the surface of the TiO2 photoelectrode, and Cu2O-TiO2 forms a heterojunction to improve battery performance in this work. The formation mechanism of Cu2O-TiO2 is revealed and utilized to deposit Cu2O on pre-treated FTO glass covered with TiO2 films using electrochemical deposition (ECD). The photoelectrochemical properties of Cu2O-TiO2 photoelectrodes are characterized using XRD, UV-vis diffuse reflectance spectroscopy, XPS, and electrochemical characterizations. The successful deposition of Cu2O on the surface of TiO2 photoelectrode is confirmed, and the UV-vis spectroscopic test results show that the incorporation of Cu2O enhances and broadens the absorption and utilization of sunlight in the UV range by the TiO2 photoelectrode. Furthermore, the electrochemical test results manifest that the Cu2O-TiO2 photoelectrode possesses a higher carrier concentration under illumination conditions due to the formation of a heterojunction. Finally, a 30 min unbiased photocharging test demonstrates that the Cu2O-TiO2 photoelectrode charges in a current density of 425.03 μA·cm−2, indicating an increased photogenerated carrier concentration and a decreased photogenerated carrier recombination rate, which results from the enlarged doping concentration and improved charge transfer process at the electrolyte/semiconductor interface due to the incorporation of Cu2O. Compared with the current density of 116.21 μA·cm−2 for the bare TiO2 photoelectrode, the performance can be improved by over 365%.
Modeling of Continuous Slug Flow Cooling Crystallization towards Pharmaceutical Applications
Authors: Kufner Anne Cathrine , Rix Michael , Wohlgemuth Kerstin
Published: September 2023

The rising trend towards continuous production in the field of small-scale crystallization has generated many creative concepts for apparatuses for the production of active pharmaceutical ingredients. One of these promising apparatuses is the Slug Flow Crystallizer (SFC), which enables the adjustment of the particle size distribution and the achievement of high yields through its alternating slug flow. To realize and understand the crystallization inside the SFC, high experimental effort has been necessary until now. Therefore, a mechanistic model considering the hydrodynamics of slug flow, the energy and mass balances, and the crystallization phenomena of growth and agglomeration inside the apparatus was developed. Its purpose is to improve the understanding of the process, estimate the effects of operating parameters on target properties, and predict crystallization behavior for different substance systems with minimal experimental effort. Successful modeling was validated with experimental results for the substance system l-alanine/water. Furthermore, the robustness of the model was evaluated, and guidelines were presented, enabling the transfer of the model to new substance systems.
Management of a Malpractice Dental Implant Case in a Patient with History of Oral Bisphosphonates Intake: A Case Report and Narrative Review of Recent Findings
Authors: Carossa Massimo , Scotti Nicola , Alovisi Mario , Catapano Santo , Grande Francesco , Corsalini Massimo , Ruffino Sergio , Pera Francesco
Published: September 2023

The present article aims to describe the management of a malpractice dental implant case in a patient with a history of oral bisphosphonates (BF) intake (alendronic acid every 15 days for 20 years) and to perform a narrative review of recently published articles (2019–2023) on the topic. A female patient rehabilitated with 18 nails in the mandible 20 years ago underwent two surgeries; the first one included the explantation of the nails; the second one included the insertion of two implants in the anterior region. At the last follow-up (21 months from the first surgery and 15 months from the second one) no complications nor episodes of bisphosphonate-related osteonecrosis of the jaw (BRONJ) were highlighted. Furthermore, 12 recent articles on the topic were reported and a narrative review was performed. Based on the narrative analysis, the topic related to dental implants in patients with BF intake seems to remain controversial. Most of the findings highlight how the evidence on both the safety of the treatment and the possibility to foresee the risk of onset based on preoperative factors seem to be scarce. The case described in the present article did not report any complications nor episodes of BRONJ. However, evidence from a single case report is scarce and more clinical trials are required to deepen the knowledge on the topic.
Conventional versus Digital Dental Impression Techniques: What Is the Future? An Umbrella Review
Authors: D’Ambrosio Francesco , Giordano Francesco , Sangiovanni Giuseppe , Di Palo Maria Pia , Amato Massimo
Published: September 2023

A prosthetic rehabilitation, whether supported by implants, teeth, or mucous membranes, must be functionally and aesthetically adequate, so it is essential that the oral structures are reproduced as accurately as possible. The purpose of this overview is to evaluate the accuracy, time of digital impressions, and patient preference compared to those of conventional high-precision in vivo impressions. This umbrella review was developed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) statement and was registered in the PROSPERO systematic review registry. The search method and study selection were based on the PEO (Population–Exposure–Outcome) model, a modified version of the PICO model. Systematic reviews regarding the dental impression technique made using an intraoral scanner versus the analog impression technique made with high-precision impression materials were searched electronically up to 1 February 2023 among articles published in English, through numerous registries and databases, such as PROSPERO e, Scopus, MEDLINE/ PubMed, BioMed Central, and Cochrane Library. The records screened totaled 2942, but only 23 systematic reviews were included in this umbrella review. The Assessing the Methodological Quality of Systematic Reviews (AMSTAR) 2 tool was used to evaluate the quality assessment of the systematic reviews included in this umbrella review. Accuracy, time, and patient preference for digital impressions were compared with those of high-precision conventional impressions. A total of 23 systematic reviews were included in this umbrella review. From the analysis of this umbrella review, the data on the accuracy between the two methods of taking the impression are conflicting, especially as regards full-arch rehabilitations. However, the digital impression seems to be preferred over the analog one as regards time and patient preference. However, there is limited high-quality evidence available for studying conventional and digital implant impressions. The results obtained are limited to the type of review performed, and the type of studies included was limited by the settings and study designs. Furthermore, another important limitation highlighted was that the digital scanners analyzed in the various studies are not the same, and the number of missing teeth or implants inserted is not the same. More in vivo clinical studies and RCTs are needed to increase the level of evidence for impression procedures.
Measurement of Individual Differences in State Empathy and Examination of a Model in Japanese University Students
Authors: Tobari Maine , Oshio Atsushi
Published: September 2023

The typical state empathy research used perspective-taking instructions and examined the effect of instructions on empathy-related variables. Empathy-arousing processes were generally not measured. The effect of perspective-taking instructions has been questioned recently. Observers could imagine targets’ feelings without such instructions. This study evoked empathy in Japanese undergraduates (N = 157) without instructional procedure, and based on participants’ responses to questionnaires, measured individual differences between antecedent, process, and intrapersonal outcome variables of state empathy, referring to the organizational model and theories of empathy-arousing processes. The purpose of this study was to measure these variables, examine the causal relationship between them using path analysis, and clarify how empathy occurs. In this way, we could suggest through which processes and antecedent factors intrapersonal empathic outcomes are produced. It is probably the first attempt to clarify how empathy occurs using a social psychological study framework and questionnaire method. This research was originally conducted in 2011 based on two similar studies not published internationally, when only some of the variables were used in our analyses. Afterwards, we constructed another analysis method, reanalyzed the data in 2019 and further reanalyzed in 2023 to obtain the final version of the results. Limitations and scientific and practical implications were discussed.
Untamable Dragons and Dubious Calculations: A Reading of Xiaoyaoyou 1–3
Authors: Rivera Espinoza Manuel
Published: September 2023

The paper explores the metaphysical and cosmological implications of the Xiaoyaoyou chapter of the Zhuangzi. Beginning with an exploration of the Kun–Peng fable’s epistemological aspects, the study transitions to emphasize its connection to fundamental metaphysical forces, such as yinyang 陰陽, qi 氣, and wuxing 五行. The dragonesque features of Kun and Peng are seen as analogies for cosmic and metaphysical change, forming the basis for an alternative, non-epistemological interpretation. Accordingly, the expression “anxious calculations” (shushu 數數) is interpreted as both a critique of the scholar-officials’ (shi 士) reliance on “numbers and methods” (shushu 數術) to tame dragons and control the cosmos and a commendation of the masters’ (zi 子) ability to transcend them. Drawing from the archaeological record, the term shushu is linked to astrological frameworks and cosmological systems prevalent during the Warring States period. Ultimately, the paper concludes that the skepticism depicted in the Xiaoyaoyou is specifically directed at shushu knowledge, the scholarly and state-sanctioned understanding of the cosmos’ metaphysical foundations. The study suggests that, as explained in this chapter, these enigmatic foundations, much like dragons, defy complete comprehension, remaining beyond precise calculation and domestication.
Sitting on the Lakeshore: Guardini’s Letters from Lake Como Retold
Authors: Beltramini Enrico
Published: September 2023

In his Letters from Lake Como, Romano Guardini distilled the characteristics of a cultural shift from a rural community to an industrialized society. Decades later, he would complete and refine his vision of that shift in The End of the Modern World. In the two books, but especially in Letters, Guardini argued for the possibility of a conciliation between a Christianity that differs from medieval Christianity, or Christendom, and an artificial, technologically infused culture that is no longer rooted in the rural life of pre-modern civilization. In this essay, I return to Guardini’s concept of a Christianized industrialism, a modern culture that is embedded in technology and yet open to transcendence. I show the groundlessness of such a concept in continuity with Hans Urs von Balthasar’s concise assessment of Guardini’s work, which Balthasar saw as firm and groundless.
Mobility and Intuition: What Does Pre-Qin Daoist Philosophy Reveal about Constructive Postmodernism?
Authors: Li Weixi
Published: September 2023

Constructive postmodernism is based on the monism of mind and matter, and proposes an organic philosophy which highlights the process and pan-empiricism. Chinese pre-Qin Daoist philosophy on the materiality, dynamism, and information of the Way (Dao) and human intuitive knowledge can be used as the basis for the above-mentioned statements of organic philosophy and pan-empiricism and further answer their unaddressed questions, and can manifest that the pre-Qin Daoist philosophy also has the potential to provide intellectual resources for the discussion of the philosophical mind–matter relationship. This may contribute to the further development of human science and technology.
Nature, Spirituality, and Place: Comparative Studies between Emerson and Zhuang Zi
Authors: Gao Shan
Published: September 2023

Very rich scholarly works have been produced to perform a comparative study between Emerson and Zhuang Zi. Many scholars in their comparative research have tried to find how Emerson and the transcendentalists such as Thoreau borrow ideas from Daoism. In this article, I will take a different approach. I aim to find how Emerson and Zhuang Zi’s pursuit of spirituality in nature shapes different types of sense of place. The concept of spirituality is related to the pursuit of meaning in life and self-transcendence. This concept has gradually gained attention from the branches of religion, philosophy, geography, and psychology since, currently, due to the fast urbanization process, more people are separated from their land and move into cities. I will make a comparison between Emerson and Zhuang Zi from the concepts of spirituality, nature, and place. This perspective will shed light on the question of the conservation of various places due to their value and meaning, although I will not discuss conservation issues in this paper. In this article, I will first give a brief introduction to the meaning of spirituality by focusing on the three dimensions of this concept, which include meaning, self-transcendence, and spiritual practices. Then, I will discuss how the concept of nature in Emerson and Zhuang Zi’s works is related to these three dimensions. Finally, I will examine why Emerson and Zhuang Zi treat wilderness and agricultural land, respectively, as a place.
Editorial Note: Decision Making in Resource Management: Exploring Problems, Methods, and Tools
Authors: Thalassinos Eleftherios , Nermend Kesra , Borawska Anna
Published: September 2023

The field of resource management plays a crucial role in addressing the complex challenges of allocating resources within societal frameworks while considering ecological, legal, and practical considerations [...]
Dual-Loop Control of Cable-Driven Snake-like Robots
Authors: Xu Xiantong , Wang Chengzhen , Xie Haibo , Wang Cheng , Yang Huayong
Published: September 2023

Snake-like robots, which have high degrees of freedom and flexibility, can effectively perform an obstacle avoidance motion in a narrow and unstructured space to complete assignments efficiently. However, accurate closed-loop control is difficult to achieve. On the one hand, this is because adding too many sensors to the robot will significantly increase its mass, size, and cost. On the other hand, the more complex structure of the hyper-redundant robot also challenges the more elaborate closed-loop control strategy. For these reasons, a cable-driven snake-like robot, which is compact and low cost, with force transducers and angle sensors, is designed in this article. The simpler and more direct kinematic model is studied, which applies to a widely used kinematics algorithm. Based on the kinematic model, the inverse dynamics are resolved. Finally, this article analyzes the sources of the motion errors and achieves dual-loop control through force-feedback and pose-feedback. The experiment results show that the robot’s structure and dual-loop control strategy function with high accuracy and reliability, meeting the requirements of engineering applications and high-precision control.
Boundary-Guided Semantic Context Network for Water Body Extraction from Remote Sensing Images
Authors: Yu Jie , Cai Yang , Lyu Xin , Xu Zhennan , Wang Xinyuan , Fang Yiwei , Jiang Wenxuan , Li Xin
Published: September 2023

Automatically extracting water bodies is a significant task in interpreting remote sensing images (RSIs). Convolutional neural networks (CNNs) have exhibited excellent performance in processing RSIs, which have been widely used for fine-grained extraction of water bodies. However, it is difficult for the extraction accuracy of CNNs to satisfy the requirements in practice due to the limited receptive field and the gradually reduced spatial size during the encoder stage. In complicated scenarios, in particular, the existing methods perform even worse. To address this problem, a novel boundary-guided semantic context network (BGSNet) is proposed to accurately extract water bodies via leveraging boundary features to guide the integration of semantic context. Firstly, a boundary refinement (BR) module is proposed to preserve sufficient boundary distributions from shallow layer features. In addition, abstract semantic information of deep layers is also captured by a semantic context fusion (SCF) module. Based on the results obtained from the aforementioned modules, a boundary-guided semantic context (BGS) module is devised to aggregate semantic context information along the boundaries, thereby enhancing intra-class consistency of water bodies. Extensive experiments were conducted on the Qinghai–Tibet Plateau Lake (QTPL) and the Land-cOVEr Domain Adaptive semantic segmentation (LoveDA) datasets. The results demonstrate that the proposed BGSNet outperforms the mainstream approaches in terms of OA, MIoU, F1-score, and kappa. Specifically, BGSNet achieves an OA of 98.97% on the QTPL dataset and 95.70% on the LoveDA dataset. Additionally, an ablation study was conducted to validate the efficacy of the proposed modules.
Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA
Authors: Rojas-Munoz Oscar , Calvet Jean-Christophe , Bonan Bertrand , Baghdadi Nicolas , Meurey Catherine , Napoly Adrien , Wigneron Jean-Pierre , Zribi Mehrez
Published: September 2023

Observed by satellites for more than a decade, surface soil moisture (SSM) is an essential component of the Earth system. Today, with the Sentinel missions, SSM can be derived at a sub-kilometer spatial resolution. In this work, aggregated 1 km × 1 km SSM observations combining Sentinel-1 (S1) and Sentinel-2 (S2) data are assimilated for the first time into the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land surface model using the global Land Data Assimilation System (LDAS-Monde) tool of Meteo-France. The ISBA simulations are driven by atmospheric variables from the Application of Research to Operations at Mesoscale (AROME) numerical weather prediction model for the period 2017–2019 for two regions in Southern France, Toulouse and Montpellier, and for the Salamanca region in Spain. The S1 SSM shows a good agreement with in situ SSM observations. The S1 SSM is assimilated either alone or together with leaf area index (LAI) observations from the PROBA-V satellite. The assimilation of S1 SSM alone has a small impact on the simulated root zone soil moisture. On the other hand, a marked impact of the assimilation is observed over agricultural areas when LAI is assimilated, and the impact is larger when S1 SSM and LAI are assimilated together.
In-Flight Preliminary Performance of GF-5B/Absorbing Aerosol Sensor
Authors: Wang Yongmei , Zhang Zhuo , Mao Jinghua , Wang Houmao , Shi Entao , Liu Xiaohong , Li Pengda , Liu Jiu
Published: September 2023

The Absorbing Aerosol Sensor (AAS) is carried on the Gao-Fen 5B (GF-5B) satellite, and it allows for the measurement of solar backscatter radiation by the atmosphere in the UV–Vis bands. The AAS is an imaging spectrometer that employs CCD for capturing both a continuous spectrum and the cross-track orientation with a 114° wide swath. The broad field of view provides daily global envelopment with a 4 km spatial resolution at the nadir. This paper mainly analyzes the initial working status of the instrument in orbit, including wavelength calibration, radiometric calibration, detector performance, and product availability. Preliminary observations indicate the ability of the AAS to monitor absorbing aerosols like dust, biomass burning, volcano ash, and some pollution aerosols and to identify the aerosol events in China and other regions with high spatial resolution.
Vessel Detection with SDGSAT-1 Nighttime Light Images
Authors: Zhao Zheng , Qiu Shi , Chen Fu , Chen Yuwei , Qian Yonggang , Cui Haodong , Zhang Yu , Khoramshahi Ehsan , Qiu Yuanyuan
Published: September 2023

The Sustainable Development Goals Science Satellite-1 (SDGSAT-1) Glimmer Imager for Urbanization (GIU) data is very sensitive to low radiation and capable of detecting weak light sources from vessels at night while significantly improving the spatial resolution compared to similar products. Most existing methods fail to use the relevant characteristics of vessels effectively, and it is difficult to deal with the complex shape of vessels in high-resolution Nighttime Light (NTL) data, resulting in unsatisfactory detection results. Considering the overall sparse distribution of vessels and the light source diffusion phenomenon, a novel vessel detection method is proposed in this paper, utilizing the high spatial resolution of the SDGSAT-1. More specifically, noise separation is completed based on a local contrast-weighted RPCA. Then, artificial light sources are detected based on a density clustering algorithm, and an inter-cluster merging method is utilized to realize vessel detection further. We selected three research areas, namely, the Bohai Sea, the East China Sea, and the Gulf of Mexico, to establish a vessel dataset and applied the algorithm to the dataset. The results show that the total detection accuracy and the recall rate of the detection algorithm in our dataset are 96.84% and 96.67%, which is significantly better performance than other methods used for comparison in the experiment. The algorithm overcomes the dataset’s complex target shapes and noise conditions and achieves good results, which proves the applicability of the algorithm.
Physical Activity in Community-Dwelling Older Adults: Which Real-World Accelerometry Measures Are Robust? A Systematic Review
Authors: Abdul Jabbar Khalid , Mc Ardle Ríona , Lord Sue , Kerse Ngaire , Del Din Silvia , Teh Ruth
Published: September 2023

Measurement of real-world physical activity (PA) data using accelerometry in older adults is informative and clinically relevant, but not without challenges. This review appraises the reliability and validity of accelerometry-based PA measures of older adults collected in real-world conditions. Eight electronic databases were systematically searched, with 13 manuscripts included. Intraclass correlation coefficient (ICC) for inter-rater reliability were: walking duration (0.94 to 0.95), lying duration (0.98 to 0.99), sitting duration (0.78 to 0.99) and standing duration (0.98 to 0.99). ICCs for relative reliability ranged from 0.24 to 0.82 for step counts and 0.48 to 0.86 for active calories. Absolute reliability ranged from 5864 to 10,832 steps and for active calories from 289 to 597 kcal. ICCs for responsiveness for step count were 0.02 to 0.41, and for active calories 0.07 to 0.93. Criterion validity for step count ranged from 0.83 to 0.98. Percentage of agreement for walking ranged from 63.6% to 94.5%; for lying 35.6% to 100%, sitting 79.2% to 100%, and standing 38.6% to 96.1%. Construct validity between step count and criteria for moderate-to-vigorous PA was rs = 0.68 and 0.72. Inter-rater reliability and criterion validity for walking, lying, sitting and standing duration are established. Criterion validity of step count is also established. Clinicians and researchers may use these measures with a limited degree of confidence. Further work is required to establish these properties and to extend the repertoire of PA measures beyond “volume” counts to include more nuanced outcomes such as intensity of movement and duration of postural transitions.
Reliability and Validity of a Smartphone Device and Clinical Tools for Thoracic Spine Mobility Assessments
Authors: van Baalen Gabriela Bella , Vanwanseele Benedicte , Venter Ranel Rachel
Published: September 2023

Quantifying thoracic spine mobility with reliable and valid tools is a challenge for clinicians in practice. The aim of this study is to determine the reliability and validity of a smartphone device, bubble inclinometer and universal goniometer to quantify the static kyphotic curve and active range of motion of the thoracic spine. A total of 17 participants (mean age = 23.7 ± 2.3 years) underwent repeated measurements with three raters, on three separate days performing the lumbar-locked trunk rotation, standing full extension, standing full flexion, standing relaxed curve and seated trunk rotation assessments. Mostly “Good” to “Excellent” intra-rater (ICC ranging from 0.624 to 0.981) and inter-reliability (ICC ranging from 0.671 to 0.968) was achieved with the smartphone and clinical tools. “Excellent” validity (ICC ranging from 0.903 to 0.947) with the smartphone was achieved during lumbar-locked trunk rotation and standing relaxed curve assessment. “Good” validity (ICC ranging from 0.836 to 0.867) of the smartphone was achieved during the seated trunk rotation. The Samsung s9+ smartphone with the iSetSquare mobile application is a reliable and valid tool to use for clinical assessments assessing thoracic spine mobility.
Utilizing Motion Capture Systems for Instrumenting the OCRA Index: A Study on Risk Classification for Upper Limb Work-Related Activities
Authors: Aqueveque Pablo , Peña Guisella , Gutiérrez Manuel , Gómez Britam , Germany Enrique , Retamal Gustavo , Ortega-Bastidas Paulina
Published: September 2023

In the search to enhance ergonomic risk assessments for upper limb work-related activities, this study introduced and validated the efficiency of an inertial motion capture system, paired with a specialized platform that digitalized the OCRA index. Conducted in a semi-controlled environment, the proposed methodology was compared to traditional risk classification techniques using both inertial and optical motion capture systems. The inertial method encompassed 18 units in a Bluetooth Low Energy tree topology network for activity recording, subsequently analyzed for risk using the platform. Principal outcomes emphasized the optical system’s preeminence, aligning closely with the conventional technique. The optical system’s superiority was further evident in its alignment with the traditional method. Meanwhile, the inertial system followed closely, with an error margin of just ±0.098 compared to the optical system. Risk classification was consistent across all systems. The inertial system demonstrated strong performance metrics, achieving F1-scores of 0.97 and 1 for “risk” and “no risk” classifications, respectively. Its distinct advantage of portability was reinforced by participants’ feedback on its user-friendliness. The results highlight the inertial system’s potential, mirroring the precision of both traditional and optical methods and achieving a 65% reduction in risk assessment time. This advancement mitigates the need for intricate video setups, emphasizing its potential in ergonomic assessments.
DSPose: Dual-Space-Driven Keypoint Topology Modeling for Human Pose Estimation
Authors: Zhao Anran , Li Jingli , Zeng Hongtao , Cheng Hongren , Dong Liangshan
Published: September 2023

Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human–computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feature level, which is vulnerable to three problems: object occlusion, keypoints ghost, and neighbor pose interference. We propose a dual-space-driven topology model for the human pose estimation task. Firstly, the model extracts relatively accurate keypoints features through a Transformer-based feature extraction method. Then, the correlation of keypoints in the physical space is introduced to alleviate the error localization problem caused by excessive dependence on the feature-level representation of the model. Finally, through the graph convolutional neural network, the spatial correlation of keypoints and the feature correlation are effectively fused to obtain more accurate human pose estimation results. The experimental results on real datasets also further verify the effectiveness of our proposed model.
Real-Time Nitrate Ion Monitoring with Poly(3,4-ethylenedioxythiophene) (PEDOT) Materials
Authors: Kohler Michael C. , Li Fang , Dong Ziqian , Amineh Reza K.
Published: September 2023

Nitrate (NO3) pollution in groundwater, caused by various factors both natural and synthetic, contributes to the decline of human health and well-being. Current techniques used for nitrate detection include spectroscopic, electrochemical, chromatography, and capillary electrophoresis. It is highly desired to develop a simple cost-effective alternative to these complex methods for nitrate detection. Therefore, a real-time poly (3,4-ethylenedioxythiophene) (PEDOT)-based sensor for nitrate ion detection via electrical property change is introduced in this study. Vapor phase polymerization (VPP) is used to create a polymer thin film. Variations in specific parameters during the process are tested and compared to develop new insights into PEDOT sensitivity towards nitrate ions. Through this study, the optimal fabrication parameters that produce a sensor with the highest sensitivity toward nitrate ions are determined. With the optimized parameters, the electrical resistance response of the sensor to 1000 ppm nitrate solution is 41.79%. Furthermore, the sensors can detect nitrate ranging from 1 ppm to 1000 ppm. The proposed sensor demonstrates excellent potential to detect the overabundance of nitrate ions in aqueous solutions in real time.
A Fully Integrated Low-Power Multi-Mode RF Receiver for BDS-3/GPS
Authors: Huang Shalin , Li Jiang , Li Mingdong , Tang Fang
Published: September 2023

A fully integrated low-power area-efficient receiver using a low–intermediate frequency topology for BDS-3 and GPS L1 bands is presented in this paper. Accurate localization can be achieved without requiring off-chip low-noise amplifiers. The receiver bandwidths for GPS and BDS-3 are 2 MHz and 4 MHz, respectively. Digitally assisted calibration schemes, such as RC calibration, automatic gain control, and DC offset correction are integrated to resist the effects of the process, voltage, and temperature (PVT) variations. The receiver—fabricated in a standard 55 nm CMOS technology—provides a maximum gain of 113.2 dB, a gain control range of 61 dB, and a minimum noise figure of 1.74 dB under a 1.2 V supply. The receiver, with and without the frequency synthesizer that provides the local oscillator frequency, consumes 8.7 mA and 4.8 mA, with areas of 0.73 mm2 and 0.345 mm2, respectively.
Enhancing Mitigation of Volumetric DDoS Attacks: A Hybrid FPGA/Software Filtering Datapath
Authors: Salopek Denis , Mikuc Miljenko
Published: September 2023

The increasing network speeds of today’s Internet require high-performance, high-throughput network devices. However, the lack of affordable, flexible, and readily available devices poses a challenge for packet classification and filtering. This problem is exacerbated by the increase in volumetric Distributed Denial-of-Service (DDoS) attacks, which require efficient packet processing and filtering. To meet the demands of high-speed networks and configurable network processing devices, this paper investigates a hybrid hardware/software packet filter prototype that combines reconfigurable FPGA technology and high-speed software filtering on commodity hardware. It uses a novel approach that offloads filtering rules to the hardware and employs a Longest Prefix Matching (LPM) algorithm and allowlists/blocklists based on millions of IP prefixes. The hybrid filter demonstrates improvements over software-only filtering, achieving performance gains of nearly 30%, depending on the rulesets, offloading methods, and traffic types. The significance of this research lies in developing a cost-effective alternative to more-expensive or less-effective filters, providing high-speed DDoS packet filtering for IPv4 traffic, as it still dominates over IPv6. Deploying these filters on commodity hardware at the edge of the network can mitigate the impact of DDoS attacks on protected networks, enhancing the security of all devices on the network, including Internet of Things (IoT) devices.
Real-Time Detection of Strawberry Ripeness Using Augmented Reality and Deep Learning
Authors: Chai Jackey J. K. , Xu Jun-Li , O’Sullivan Carol
Published: September 2023

Currently, strawberry harvesting relies heavily on human labour and subjective assessments of ripeness, resulting in inconsistent post-harvest quality. Therefore, the aim of this work is to automate this process and provide a more accurate and efficient way of assessing ripeness. We explored a unique combination of YOLOv7 object detection and augmented reality technology to detect and visualise the ripeness of strawberries. Our results showed that the proposed YOLOv7 object detection model, which employed transfer learning, fine-tuning and multi-scale training, accurately identified the level of ripeness of each strawberry with an mAP of 0.89 and an F1 score of 0.92. The tiny models have an average detection time of 18 ms per frame at a resolution of 1280 × 720 using a high-performance computer, thereby enabling real-time detection in the field. Our findings distinctly establish the superior performance of YOLOv7 when compared to other cutting-edge methodologies. We also suggest using Microsoft HoloLens 2 to overlay predicted ripeness labels onto each strawberry in the real world, providing a visual representation of the ripeness level. Despite some challenges, this work highlights the potential of augmented reality to assist farmers in harvesting support, which could have significant implications for current agricultural practices.
Parking Lot Occupancy Detection with Improved MobileNetV3
Authors: Yuldashev Yusufbek , Mukhiddinov Mukhriddin , Abdusalomov Akmalbek Bobomirzaevich , Nasimov Rashid , Cho Jinsoo
Published: September 2023

In recent years, parking lot management systems have garnered significant research attention, particularly concerning the application of deep learning techniques. Numerous approaches have emerged for tackling parking lot occupancy challenges using deep learning models. This study contributes to the field by addressing a critical aspect of parking lot management systems: accurate vehicle occupancy determination in specific parking spaces. We propose an advanced solution by harnessing an optimized MobileNetV3 model with custom architectural enhancements, trained on the CNRPark-EXT and PKLOT datasets. The model processes individual parking space patches from real-time video feeds, providing occupancy classification for each patch, identifying occupied or available spaces. Our architectural modifications include the integration of a convolutional block attention mechanism in place of the native attention module and the adoption of blueprint separable convolutions instead of the traditional depth-wise separable convolutions. In terms of performance, our proposed model exhibits superior results when benchmarked against state-of-the-art methods. Achieving an exceptional area under the ROC curve (AUC) value of 0.99 for most experiments with the PKLot dataset, our enhanced MobileNetV3 showcases its exceptional discriminatory power in binary classification. Benchmarked against the CarNet and mAlexNet models, representative of previous state-of-the-art solutions, our proposed model showcases exceptional performance. During evaluations using the combined CNRPark-EXT and PKLot datasets, the proposed model attains an impressive average accuracy of 98.01%, while CarNet achieves 97.03%. Beyond achieving high accuracy and precision comparable to previous models, the proposed model exhibits promise for real-time applications. This work contributes to the advancement of parking lot occupancy detection by offering a robust and efficient solution with implications for urban mobility enhancement and resource optimization.
Advances in Portable Atom Interferometry-Based Gravity Sensing
Authors: Vovrosh Jamie , Dragomir Andrei , Stray Ben , Boddice Daniel
Published: September 2023

Gravity sensing is a valuable technique used for several applications, including fundamental physics, civil engineering, metrology, geology, and resource exploration. While classical gravimeters have proven useful, they face limitations, such as mechanical wear on the test masses, resulting in drift, and limited measurement speeds, hindering their use for long-term monitoring, as well as the need to average out microseismic vibrations, limiting their speed of data acquisition. Emerging sensors based on atom interferometry for gravity measurements could offer promising solutions to these limitations, and are currently advancing towards portable devices for real-world applications. This article provides a brief state-of-the-art review of portable atom interferometry-based quantum sensors and provides a perspective on routes towards improved sensors.
Optimising Urban Freight Logistics Using Discrete-Event Simulation and Cluster Analysis: A Stochastic Two-Tier Hub-and-Spoke Architecture Approach
Authors: Lyu Zichong , Pons Dirk , Palliparampil Gilbert , Zhang Yilei
Published: September 2023

The transport of freight involves numerous intermediate steps, such as freight consolidation, truck allocation, and routing, all of which exhibit high day-to-day variability. On the delivery side, drivers usually cover specific geographic regions, also known as clusters, to optimise operational efficiency. A crucial aspect of this process is the effective allocation of resources to match business requirements. The discrete-event simulation (DES) technique excels in replicating intricate real-world operations and can integrate a multitude of stochastic variables, thereby enhancing its utility for decision making. The objective of this study is to formulate a routing architecture that integrates with a DES model to capture the variability in freight operations. This integration is intended to provide robust support for informed decision-making processes. A two-tier hub-and-spoke (H&S) architecture was proposed to simulate stochastic routing for the truck fleet, which provided insights into travel distance and time for cluster-based delivery. Real industry data were employed in geographic information systems (GISs) to apply the density-based spatial clustering of applications with noise (DBSCAN) clustering method to identify customer clusters and establish a truck plan based on freight demand and truck capacity. This clustering analysis and simulation approach can serve as a planning tool for freight logistics companies and distributors to optimise their resource utilisation and operational efficiency, and the findings may be applied to develop plans for new regions with customer locations and freight demands. The original contribution of this study is the integration of variable last-mile routing and an operations model for freight decision making.
The Impact of Normalised Cross-Strait Relations on Regional Economics—An Empirical Study of Jiangsu Province
Authors: Li Yunyan
Published: September 2023

How does the quality of international relations between countries affect regional economics? The question of how much economic change can be attributed to the trajectories of international politics is difficult to answer, because different factors over time can influence economic development. This research uses synthetic control and difference-in-differences methods to evaluate the impact of the normalisation of cross-strait relations in 2008 on regional economic growth in Jiangsu province. Based on data from the Regional and China Year Books from 1990 to 2015, Jiangsu province, a region with prominently close economic ties with Taiwan, witnessed a CNY 20,726.52 (around GBP 2328.35) increase in per capita GDP from 2008 to 2015, compared with the counterfactual in the absence of normalised cross-strait relations. There was an annual increase of approximately CNY 2961 Yuan (around GBP 333). This research has important implications for acknowledging the relationship between the quality of political relations and their economic impact on confrontational countries and regions.
Are Schools Learning Organizations? An Empirical Study in Spain, Bulgaria, Italy, and Turkey
Authors: Sierra-Huedo María Luisa , Romea Ana C. , Aguareles Marina
Published: September 2023

The aim of this empirical research, which is the first phase of an Erasmus project, is to analyze how educational institutions are configured, as learning organizations, through a systems perspective. The methodology employed was qualitative, utilizing prominent examples of schools in Spain, Bulgaria, Italy, and Turkey. Semi-structured personal interviews were conducted with experts in the field of education, members of school management teams, and teachers, resulting in a total of 63 participants. The findings reveal that, in all four countries, there are barriers preventing educational institutions from becoming learning organizations, including the rigidity of the educational curriculum and an individualistic teaching culture. Transformational opportunities lie in the creation of networks and the ability to share knowledge among educational institutions. In essence, it is necessary to continue working towards the implementation of a systems perspective in educational institutions, which, for its development, must be complemented by transformational leadership and an engaged educational community that is focused on enhancing student learning.
Introduction: Special Issue on the Visual International Relations Project
Authors: Gansen Sarah , James Patrick
Published: September 2023

The application of systemism, an innovative and user-friendly technique for generating lucid, graphic summaries of analytical arguments, can enhance the social sciences. Content, as research and pedagogy move forward, becomes increasingly vast and diverse in theory and methods. Systemism offers both a means and a method for enhanced communication in the face of challenges posed by the rapid expansion of the social sciences in the fast-paced world of the new millennium. This is the motivation for a Special Issue of Social Sciences that will show systemism in action. The Visual International Relations Project (VIRP) archive continues to accumulate materials. The contents of this Special Issue will demonstrate the value of that resource across a wide range of subject areas. This introductory article proceeds in five sections. The first section provides a general overview of systemism and the VIRP. The second section introduces systemism in greater detail as a graphic approach to the communication of ideas. The third section applies systemism to convey the framework for analysis utilizing a classic work of social science—The Logic of Collective Action. The fourth section outlines the articles that follow in making up the Special Issue. The fifth and final section sums up what has been accomplished in this introductory article.
Integration of Digital Twin and Circular Economy in the Construction Industry
Authors: Meng Xianhai , Das Simran , Meng Junyu
Published: September 2023

As a major industry sector, construction is gradually transitioning from the linear economy to the circular economy. Due to various barriers or challenges, the circular economy within construction progresses at a slow pace. Digital technologies can help construction address these barriers or challenges. As a new generation of digital technologies, the digital twin is still seldom used in construction for the circular economy at the current stage. The purpose of this study is to empirically investigate the implementation of the circular economy, as well as the integration of a digital twin and the circular economy, in construction. Based on a review of the relevant literature, this study adopts a combination of expert interviews as a qualitative research method and questionnaire surveys as a quantitative research method. The findings of this study suggest that design and demolition, which are closely linked to each other with regard to circular economy strategies, are more important than other project phases. The digital twin has great potential to improve circular economy practice. It can play some important roles in different project phases throughout the life cycle of a construction project, to achieve the circular economy. Digital twin–circular economy integration makes it effective for construction to overcome circular economy barriers or challenges, reduce waste, and increase salvage value.
What Initiates Creativity in an Organization?: A Two-Horse Carriage of HRM and PO Fit
Authors: Seong Jee Young , Yang Inju , Zhang Linyuan
Published: September 2023

This study examines the effect of a corporate citizenship-oriented high-performance work system (CC-oriented HPWS) and the interactive influence of CC-oriented HPWS and person-organization fit (PO fit) on creativity at the individual level. Our analysis of field data collected from 303 employees in two branch companies with a two-phase collection method provides empirical support for our theoretical model. The results indicate that HPWS reflecting corporate citizenship (CC) correlates positively with individual creativity. In addition, the moderating effect of PO fit is significant in the relationship between CC-oriented HPWS and creativity at the individual level. On this basis, this paper discusses the theoretical and practical implications of these findings for future research.
Mapping the Reality of Hg-Free Artisanal Small-Scale Gold Mining
Authors: Marin Tatiane , Seccatore Jacopo , Cheng Yingchao
Published: September 2023

Artisanal gold mining (AGM) is a very important topic, of which the environmental and social impact has been widely studied. However, there are few studies on operational efficiency, financial analysis, and the lack of mine planning. The purpose of this work was to investigate whether AGM operation without mercury is sustainable. The following parameters were analyzed in the case study: the general situation, interaction with the company that owns the area, production, drilling and blasting, loading and transport, freight to the centralized plant, workforce, materials and supplies, geological control planning and the relationship with the processing plant. Even without the mercury variable, AGM was found to be unsustainable. The lack of planning and operational inefficiency did not allow for continuous operation. The results of this research provide guidance on the future steps the current government and society should take to achieve sustainable AGM.