bluuebunny/crossref_metadata_2025 huggingface dataset:
Forms of Life and Public Space
Authors: Laugier Sandra
Published: February 2024

New words have found their way into the public sphere: we now commonly talk about “confinement”, “barrier-gesture” or “distancing”. The very idea of public space has been transformed: with restrictions on movement and interaction in public; with the reintegration of lives (certain lives) into the home (if there is one) and private space; with the publicization of private space through internet relationships; with the cities’ space occupied, during confinement, by so-called “essential” workers; with the restriction of gatherings and political demonstrations in public space. With these and other recent changes, it is imperative to revisit the concept of public space, which continues to be used as if it were self-evident, despite its profound transformation over the past few decades, in a process of realization and “literalization”. No longer just a comfortable metaphor for reasonable debates, public space has become a concrete reality in the 21th century. This transformation in the various phenomena, such as the occupation of squares and public spaces; the demand for spaces of conversation and expression for those without a voice; the transition of private matters into the public realm through verbal expression; and the expression and circulation of public issues within popular cultures. As a result, the question of public space is increasingly intertwined with that of private spaces, such as the home or individual subjectivities, forming an internal, logical relationship.
K-Means-Based DNN Algorithm for a High Accuracy VLP System
Authors: Jin Jianli , Wang Shouwei , Yang Lu , Lu Huimin , Wang Jianping , Chen Danyang , Feng Lifang , Chen Hongyao , Zhang Hongyu
Published: February 2024

In this paper, a positioning algorithm based on the combination of K-means clustering and deep neural networks (DNNs) is first presented for multiple light emitting diodes (LEDs) integrated with visible light positioning (VLP) systems. We extracted the maximum value from the collected optical power of LEDs, utilizing the ratio of each optical power to this maximum optical power as the input training data. The experimental results demonstrate that the proposed algorithm outperformed the conventional DNN algorithm in terms of anti-jamming capability and positioning accuracy. In addition, the positioning accuracy of the proposed system reached a millimeter level, which is the highest experimental VLP accuracy, to the best of our knowledge.
Traditional Use of Wild Edible Plants in Slovenia: A Field Study and an Ethnobotanical Literature Review
Authors: Papež Kristanc Andreja , Kreft Samo , Strgulc Krajšek Simona , Kristanc Luka
Published: February 2024

No comprehensive research has been conducted on the traditional use of wild-grown edible plants in human nutrition for the Slovene ethnic area so far. In the literature on edible wild plants, authors often draw information about their use from foreign or international sources, such as books and databases, from which it is often unclear what people in different countries really include into their diet. Therefore, our purpose was to determine which edible wild-growing plant species have been used in Slovenia on a traditional basis. In our research, we gathered data using different methods. The data obtained from the literature review, i.e., the ethnobotanical literature and traditional cookbooks, were combined with those derived from the online sources and a field survey. This enabled us to create a database of 219 plant taxa encompassing more than 500 species from 62 families that are traditionally used in Slovenia. The most frequently represented families were Asteraceae, with 28 taxa, Rosaceae, with 22 taxa, Lamiaceae, with 18 taxa, Brassicaceae, with 17 taxa, Apiaceae, with 16 taxa, and Amaranthaceae, with 10 taxa. Plants are most often boiled, blanched, stewed or roasted, sometimes also baked in an oven or raw with additives, such as sour cream, sugar, salt or vinegar, but seldom fried. Selected traditional cookbooks and ethnological books provided good insight into the past use of wild plants, while an online and field survey enabled a comparison of their past and current state of use. The survey has shown that some very old wild plant recipes are still used within certain local communities, while younger people, influenced by new books about wild cuisine, are constantly introducing new plant species and recipes into their diet thereby establishing new traditions.
Effects of Simulated Acid Rain on Photosynthesis in Pinus massoniana and Cunninghamia lanceolata in Terms of Prompt Fluorescence, Delayed Fluorescence, and Modulated Reflection at 820 nm
Authors: Shu Pengzhou , Gong Xiaofei , Du Yanlei , Han Yini , Jin Songheng , Wang Zhongxu , Qian Penghong , Li Xueqin
Published: February 2024

The effects of simulated acid rain (SAR) on the photosynthetic performance of subtropical coniferous species have not been thoroughly investigated. In this study, we treated two coniferous species, Pinus massoniana (PM) and Cunninghamia lanceolata (CL), with four gradients of SAR and then analyzed their photosynthetic activities through measurements of gas exchange, prompt fluorescence (PF), delayed fluorescence (DF), and modulated reflection at 820 nm (MR820). Gas exchange analysis indicated that the decrease in the net photosynthetic rate (Pn) in PM and CL was unrelated to stomatal factors. For the PF transients, SAR induced positive K-band and L-band, a significant reduction in photosynthetic performance index (PIABS), the quantum yield of electron transfer per unit cross-section (ETO/CSm), and maximal photochemical efficiency of photosystem II (Fv/Fm). Analysis of the MR820 kinetics showed that the re-reduction kinetics of PSI reaction center (P700+) and plastocyanin (PC+) became slower and occurred at later times under SAR treatment. For the DF signals, a decrease in the amplitude of the DF induction curve reduced the maximum value of DF (I1). These results suggested that SAR obstructed photosystem II (PSII) donor-side and acceptor-side electron transfer capacity, impaired the connectivity between PSII and PSI, and destroyed the oxygen-evolving complex (OEC). However, PM was better able to withstand SAR stress than CL, likely because of the activation of a protective mechanism.
A Better Fruit Quality of Grafted Blueberry Than Own-Rooted Blueberry Is Linked to Its Anatomy
Authors: Zhu Bo , Guo Peipei , Wu Shuangshuang , Yang Qingjing , He Feng , Gao Xuan , Zhang Ya , Xiao Jiaxin
Published: February 2024

To further clarify the impact of different rootstocks in grafted blueberry, fruit quality, mineral contents, and leaf gas exchange were investigated in ‘O’Neal’ blueberry (Vaccinium corymbosum) grafted onto ‘Anna’ (V. corymbosum) (AO), ‘Sharpblue’ (V. corymbosum) (SO), ‘Baldwin’ (V. virgatum) (BO), ‘Plolific’ (V. virgatum) (PO), and ‘Tifblue’ (V. virgatum) (TO) rootstocks and own-rooted ‘O’Neal’ (NO), and differences in anatomic structures and drought resistance were determined in AO, TO, and NO. The findings revealed that fruit quality in TO and PO was excellent, that of BO and SO was good, and that of AO and NO was medium. ‘Tifblue’ and ‘Plolific’ rootstocks significantly increased the levels of leaf phosphorus and net photosynthetic rate of ‘O’Neal’, accompanied by a synchronous increase in their transpiration rates, stomatal conductance, and intercellular CO2. Additionally, the comprehensive evaluation scores from a principal component analysis based on anatomic structure traits from high to low were in the order TO > AO > NO. The P50 (xylem water potential at 50% loss of hydraulic conductivity) values of these grafted plants descended in the order NO > AO > TO, and the branch hydraulic conductivity of TO and sapwood hydraulic conductivity of TO and AO were significantly lower than those of NO. Thus, TO plants exhibited the strongest drought resistance, followed by AO, and NO, and this trait was related to the effects of different rootstocks on the fruit quality of ‘O’Neal’ blueberry. These results provided a basis for a deeper understanding of the interaction between rootstocks and scions, as well mechanisms to improve blueberry fruit quality.
Genome Size in the Arenaria ciliata Species Complex (Caryophyllaceae), with Special Focus on Northern Europe and the Arctic
Authors: Kozlowski Gregor , Fragnière Yann , Clément Benoît , Gilg Olivier , Sittler Benoît , Lang Johannes , Eidesen Pernille Bronken , Lang Simone I. , Wasowicz Pawel , Meade Conor
Published: February 2024

The main aim of the present study has been the completion of genome size data for the diverse arctic-alpine A. ciliata species complex, with special focus on the unexplored arctic taxon A. pseudofrigida, the north-European A. norvegica, and A. gothica from Gotland (Sweden). Altogether, 46 individuals of these three Nordic taxa have been sampled from seven different regions and their genome size estimated using flow cytometry. Three other alpine taxa in the A. ciliata complex (A. multicaulis, A. ciliata subsp. ciliata, and A. ciliata subsp. bernensis) were also collected and analyzed for standardization purposes, comprising 20 individuals from six regions. A mean 2c value of 1.65 pg of DNA was recorded for A. pseudofrigida, 2.80 pg for A. norvegica, and 4.14 pg for A. gothica, as against the reconfirmed 2c value of 1.63 pg DNA for the type taxon A. ciliata subsp. ciliata. Our results presenting the first estimations of genome sizes for the newly sampled taxa, corroborate ploidy levels described in the available literature, with A. pseudofrigida being tetraploid (2n = 4x = 40), A. norvegica possessing predominantly 2n = 8x = 80, and A. gothica with 2n = 10x = 100. The present study also reconfirms genome size and ploidy level estimations published previously for the alpine members of this species complex. Reflecting a likely complex recent biogeographic history, the A. ciliata species group comprises a polyploid arctic-alpine species complex characterized by reticulate evolution, polyploidizations and hybridizations, probably associated with rapid latitudinal and altitudinal migrations in the Pleistocene–Holocene period.
Genome-Wide Analysis of the TCP Transcription Factor Gene Family in Pepper (Capsicum annuum L.)
Authors: Dong Zeyu , Hao Yupeng , Zhao Yongyan , Tang Wenchen , Wang Xueqiang , Li Jun , Wang Luyao , Hu Yan , Guan Xueying , Gu Fenglin , Liu Ziji , Zhang Zhiyuan
Published: February 2024

TCP transcription factors play a key role in regulating various developmental processes, particularly in shoot branching, flower development, and leaf development, and these factors are exclusively found in plants. However, comprehensive studies investigating TCP transcription factors in pepper (Capsicum annuum L.) are lacking. In this study, we identified 27 CaTCP members in the pepper genome, which were classified into Class I and Class II through phylogenetic analysis. The motif analysis revealed that CaTCPs in the same class exhibit similar numbers and distributions of motifs. We predicted that 37 previously reported miRNAs target 19 CaTCPs. The expression levels of CaTCPs varied in various tissues and growth stages. Specifically, CaTCP16, a member of Class II (CIN), exhibited significantly high expression in flowers. Class I CaTCPs exhibited high expression levels in leaves, while Class II CaTCPs showed high expression in lateral branches, especially in the CYC/TB1 subclass. The expression profile suggests that CaTCPs play specific roles in the developmental processes of pepper. We provide a theoretical basis that will assist in further functional validation of the CaTCPs.
Effect of a Bacillus subtilis plus Yeast Cell Wall Synbiotic on Salmonella Enteritidis Colonization in Ceca of Layer Pullets
Authors: Araba Miloud , Girgis George , McBride Hannah , Lohrmann Troy
Published: February 2024

Salmonella Enteritidis (SE) is a major contamination concern in eggs and risk for Salmonellosis in humans. Strains of Bacillus subtilis and yeast cell wall can be used as substitutes for antibiotic substances in feed against Salmonella in poultry. The objective of this study was to assess the effect of BacPack® (Quality Technology International, Inc., Elgin, IL, USA) Q1+1 (BPQ11), a feed additive combination of a Bacillus subtilis strain and Saccharomyces cerevisiae cell wall, on SE cecal colonization in Lohmann LSL pullets. A control group (CON) and a test group (BPQ) were each randomly assigned 100-day-old chicks. CON was fed a corn–soybean meal-based vegetarian mash diet, and BPQ was fed the control diet supplemented with BPQ11 for the duration of the study. At 8 days of age, chicks were orally challenged with a nalidixic acid-resistant SE strain at a dose of 6.3 × 107 colony forming units (CFUs) per bird. At 7, 11, 15, and 19 days post-challenge (DPC), 25 birds per group were euthanized, and their cecal contents were collected and analyzed for SE. SE counts were 6.88, 7.98, 7.79, and 7.50 in CON and 7.18, 7.31, 6.35, and 6.30 log10 CFU/g in BPQ at 7, 11, 15, and 19 DPC, respectively. SE did not differ between CON and BPQ at 7 DPC; however, BPQ had lower (p < 0.0001) SE at 11 (−0.67), 15 (−1.45), and 19 (−1.20 log10 CFU/g) DPC. Results indicate that synbiotic BPQ11 may be a useful dietary pre-harvest tool for SE management in layer birds.
Study on Oxidation Activity of Hydrogenated Biodiesel–Ethanol–Diesel Blends
Authors: Zhou Jianbo , Chen Lyu , Zhang Rui , Zhao Weidong
Published: February 2024

In the pursuit of understanding the oxidation mechanisms of hydrogenated biodiesel fuels and elucidating the combustion behavior of biomass fuels when blended with diesel, this study presents a comprehensive investigation into the reaction mechanism of hydrogenated biodiesel–ethanol–diesel mixtures. We develop a comprehensive reaction mechanism encompassing 187 components and 735 reactions for hydrogenated biodiesel–ethanol–diesel mixtures. Through kinetics analysis under varied conditions, including 1.0 MPa pressure, an equivalence ratio of 1.0, and temperatures of 900 K and 1400 K, we explore the impact of cross-reactions and changing fuel blend ratios on low- and high-temperature oxidation. Our findings indicate that oleic and stearic acid methyl esters serve as better substitutes for representing hydrogenated biodiesel kinetics than methyl decanoate. At lower temperatures, increased hydrogenated biodiesel and ethanol content leads to reduced OH generation, impacting reactivity. Conversely, higher temperatures result in enhanced OH production with increased hydrogenated biodiesel and ethanol concentrations, promoting reactivity. A cross-reaction analysis reveals CH2O as a prominent product, with the CH2O→HCO→CO pathway playing a pivotal role. In summary, our research unveils the intricate oxidation mechanisms of hydrogenated biodiesel–ethanol–diesel mixtures, providing insights into their combustion characteristics and offering implications for optimizing fuel blends for cleaner and more efficient energy solutions.
A Comprehensive Evaluation of Shale Oil Reservoir Quality
Authors: Tian Fuchun , Fu Yongqiang , Liu Xuewei , Li Dongping , Jia Yunpeng , Shao Lifei , Yang Liyong , Zhao Yudong , Zhao Tao , Yin Qiwu , Gou Xiaoting
Published: February 2024

To enhance the accuracy of the comprehensive evaluation of reservoir quality in shale oil fractured horizontal wells, the Pearson correlation analysis method was employed to study the correlations between geological parameters and their relationship with production. Through principal component analysis, the original factors were linearly combined into principal components with clear and specific physical meanings, aiming to eliminate correlations among factors. Furthermore, Gaussian membership functions were applied to delineate fuzzy levels, and the entropy weight method was used to determine the weights of principal components, establishing a fuzzy comprehensive evaluation model for reservoir quality. Without using principal component analysis, the correlation coefficient between production and evaluation results for the 40 wells in the Cangdong shale oil field was only 0.7609. However, after applying principal component analysis, the correlation coefficient increased to 0.9132. Field application demonstrated that the average prediction accuracy for the cumulative oil production per kilometer of fractured length over 12 months for the 10 applied wells was 91.8%. The proposed comprehensive evaluation method for reservoir quality can guide the assessment of reservoir quality in shale oil horizontal wells.
Formation of Korean Christianity through the Banning of Ancestral Rites
Authors: Seong Shinhyung
Published: February 2024

This study explores the ways in which a ban on ancestral rites influenced Korean Christianity. Ancestral rites are religious ceremonies that form the most critical social basis of Joseon, a Confucian society. First, the Korean Catholic Church was the first to oppose ancestral rites. Catholics created a new social and ethical resonance in Joseon society but had to endure tremendous persecution. Second, Protestantism was introduced when Joseon society was the most confused. Protestant missionaries banned ancestral rites, and Korean Protestants accepted them. Gradually, they interpreted it and embodied it in their faith. The ban on ancestral rites contributed to the formation of Korean Christianity. This laid the foundation for Christian social ethics and Hyo (孝, Xiao (Chinese pronunciation), filiality) theology. It has expanded into various fields, such as systematic theology, biblical studies, practical theology, and liturgical practice. Thus, this study examines how the ban on ancestral rites in Korea had a profound impact on the contextualization of Korean Christianity.
Diversity and Integration: Exploring the Role of Religion in End-of-Life Care in Rural Gansu Province, China
Authors: Zhao Shichang , Jing Jun
Published: February 2024

In the face of death, different ethnic groups have unique coping ways. The physical care and spiritual care for the dying can demonstrate the diversity and particularity of ethnic cultural thought. Taking two villages in the interlaced residential areas inhabited by Han, Tibetan, and Hui ethnic groups in Linxia and Wuwei of Gansu Province as examples, this paper focuses on the presentation and significance of multi-ethnic cultural integration in the process of end-of-life care, with a focus on spiritual care. One main point of this paper is that, although hospice care in the modern medical sense is not really implemented in the vast rural areas of China, local end-of-life care, based on the village medical system and religious rituals, equally plays an important role. This is mainly manifested through the implementation of the Narcotics Card System and the widespread spiritual care. The second main point of this paper is that the form of end-of-life care, which embodies the integration of ethnic cultures, contains a certain degree of nursing functions, while taking into account the spiritual care needed by the dying and the grief consolation needed by the bereaved family. Considering the lack of spiritual care and bereavement management in China’s medical space, the religious approaches to end-of-life care, as delineated in this study, could serve as a source of inspiration for the country’s efforts to integrate hospice services into its healthcare system. In short, compared with Western forms of hospice care, in which modern medicine constitutes the main body, China’s local end-of-life care is more reflected in the diversity and integration of spiritual care for the dying.
The Burden of Being a Muslim Woman in India—The Instrumentalisation of Muslim Women at the Intersection of Gender, Religion, Colonialism, and Secularism
Authors: Pandey Shilpi
Published: February 2024

This paper focuses on the discourse on Muslim women’s rights in India, aiming to trace how policies concerning Muslim women affect their constitutional rights to equality and non-discrimination. In doing so, this paper explores a colonial continuity of policies in the post-independence era and the subsequent governments. The purpose of this paper is to provide an extensive and nuanced discussion on Muslim women’s rights in light of their historical evolution, the existence of personal laws, and the ongoing debates on a Uniform Civil Code. This article concludes that Muslim women continue to struggle for their rights to equal citizenship at the intersection of gender, religion, colonialism, and secularism.
Wearable Devices and Digital Biomarkers for Optimizing Training Tolerances and Athlete Performance: A Case Study of a National Collegiate Athletic Association Division III Soccer Team over a One-Year Period
Authors: Seshadri Dhruv R. , VanBibber Helina D. , Sethi Maia P. , Harlow Ethan R. , Voos James E.
Published: February 2024

Wearable devices in sports have been used at the professional and higher collegiate levels, but not much research has been conducted at lower collegiate division levels. The objective of this retrospective study was to gather big data using the Catapult wearable technology, develop an algorithm for musculoskeletal modeling, and longitudinally determine the workloads of male college soccer (football) athletes at the Division III (DIII) level over the course of a 12-week season. The results showed that over the course of a season, (1) the average match workload (432 ± 47.7) was 1.5× greater than the average training workload (252.9 ± 23.3) for all positions, (2) the forward position showed the lowest workloads throughout the season, and (3) the highest mean workload was in week 8 (370.1 ± 177.2), while the lowest was in week 4 (219.1 ± 26.4). These results provide the impetus to enable the interoperability of data gathered from wearable devices into data management systems for optimizing performance and health.
Unsupervised Conditional Diffusion Models in Video Anomaly Detection for Monitoring Dust Pollution
Authors: Cai Limin , Li Mofei , Wang Dianpeng
Published: February 2024

Video surveillance is widely used in monitoring environmental pollution, particularly harmful dust. Currently, manual video monitoring remains the predominant method for analyzing potential pollution, which is inefficient and prone to errors. In this paper, we introduce a new unsupervised method based on latent diffusion models. Specifically, we propose a spatio-temporal network structure, which better integrates the spatial and temporal features of videos. Our conditional guidance mechanism samples frames of input videos to guide high-quality generation and obtains frame-level anomaly scores, comparing generated videos with original ones. We also propose an efficient compression strategy to reduce computational costs, allowing the model to perform in a latent space. The superiority of our method was demonstrated by numerical experiments in three public benchmarks and practical application analysis in coal mining over previous SOTA methods with better AUC, of at most over 3%. Our method accurately detects abnormal patterns in multiple challenging environmental monitoring scenarios, illustrating the potential application possibilities in the environmental protection domain and beyond.
Synthetic Corpus Generation for Deep Learning-Based Translation of Spanish Sign Language
Authors: Perea-Trigo Marina , Botella-López Celia , Martínez-del-Amor Miguel Ángel , Álvarez-García Juan Antonio , Soria-Morillo Luis Miguel , Vegas-Olmos Juan José
Published: February 2024

Sign language serves as the primary mode of communication for the deaf community. With technological advancements, it is crucial to develop systems capable of enhancing communication between deaf and hearing individuals. This paper reviews recent state-of-the-art methods in sign language recognition, translation, and production. Additionally, we introduce a rule-based system, called ruLSE, for generating synthetic datasets in Spanish Sign Language. To check the usefulness of these datasets, we conduct experiments with two state-of-the-art models based on Transformers, MarianMT and Transformer-STMC. In general, we observe that the former achieves better results (+3.7 points in the BLEU-4 metric) although the latter is up to four times faster. Furthermore, the use of pre-trained word embeddings in Spanish enhances results. The rule-based system demonstrates superior performance and efficiency compared to Transformer models in Sign Language Production tasks. Lastly, we contribute to the state of the art by releasing the generated synthetic dataset in Spanish named synLSE.
A New Model of Air–Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors
Authors: Soares Gabryel F. , Fernandes Gilberto , Almeida Otacílio M. , Lima Gildario D. , Rodrigues Joel J. P. C.
Published: February 2024

Respiratory diseases are among the leading causes of death globally, with the COVID-19 pandemic serving as a prominent example. Issues such as infections affect a large population and, depending on the mode of transmission, can rapidly spread worldwide, impacting thousands of individuals. These diseases manifest in mild and severe forms, with severely affected patients requiring ventilatory support. The air–oxygen blender is a critical component of mechanical ventilators, responsible for mixing air and oxygen in precise proportions to ensure a constant supply. The most commonly used version of this equipment is the analog model, which faces several challenges. These include a lack of precision in adjustments and the inspiratory fraction of oxygen, as well as gas wastage from cylinders as pressure decreases. The research proposes a blender model utilizing only dynamic pressure sensors to calculate oxygen saturation, based on Bernoulli’s equation. The model underwent validation through simulation, revealing a linear relationship between pressures and oxygen saturation up to a mixture outlet pressure of 500 cmH2O. Beyond this value, the relationship begins to exhibit non-linearities. However, these non-linearities can be mitigated through a calibration algorithm that adjusts the mathematical model. This research represents a relevant advancement in the field, addressing the scarcity of work focused on this essential equipment crucial for saving lives.
Remaining Useful Life Estimation of MoSi2 Heating Element in a Pusher Kiln Process
Authors: Irfan Hafiz M. , Liao Po-Hsuan , Taipabu Muhammad Ikhsan , Wu Wei
Published: February 2024

The critical challenge of estimating the Remaining Useful Life (RUL) of MoSi2 heating elements utilized in pusher kiln processes is to enhance operational efficiency and minimize downtime in industrial applications. MoSi2 heating elements are integral components in high-temperature environments, playing a pivotal role in achieving optimal thermal performance. However, prolonged exposure to extreme conditions leads to degradation, necessitating precise RUL predictions for proactive maintenance strategies. Since insufficient failure experience deals with Predictive Maintenance (PdM) in real-life scenarios, a Generative Adversarial Network (GAN) generates specific training data as failure experiences. The Remaining Useful Life (RUL) is the duration of the equipment’s operation before repair or replacement, often measured in days, miles, or cycles. Machine learning models are trained using historical data encompassing various operational scenarios and degradation patterns. The RUL prediction model is determined through training, hyperparameter tuning, and comparisons based on the machine-learning model, such as Long Short-Term Memory (LSTM) or Support Vector Regression (SVR). As a result, SVR reflects the actual resistance variation, achieving the R-Square (R2) of 0.634, better than LSTM. From a safety perspective, SVR offers high prediction accuracy and sufficient time to schedule maintenance plans.
Near-Infrared Fluorescence Imaging Sensor with Laser Diffuser for Visualizing Photoimmunotherapy Effects under Endoscopy
Authors: Takamatsu Toshihiro , Tanaka Hideki , Yano Tomonori
Published: February 2024

The drug efficacy evaluation of tumor-selective photosensitive substances was expected to be enabled by imaging the fluorescence intensity in the tumor area. However, fluorescence observation is difficult during treatments that are performed during gastrointestinal endoscopy because of the challenges associated with including the fluorescence filter in the camera part. To address this issue, this study developed a device that integrates a narrow camera and a laser diffuser to enable fluorescence imaging through a forceps port. This device was employed to demonstrate that a laser diffuser with an NIR fluorescence imaging sensor could be delivered through a 3.2 mm diameter port. In addition, fluorescence images of Cetuximab-IR700 were successfully observed in two mice, and the fluorescence intensity confirmed that the fluorescence decayed within 330 s. This device is expected to have practical application as a tool to identify the optimal irradiation dose for tumor-selective photosensitive substances under endoscopy.
Improving Dust Aerosol Optical Depth (DAOD) Retrieval from the GEOKOMPSAT-2A (GK-2A) Satellite for Daytime and Nighttime Monitoring
Authors: Ahn Soi , Kim Hyeon-Su , Byon Jae-Young , Lim Hancheol
Published: February 2024

The Advanced Meteorological Image (AMI) onboard GEOKOMPSAT 2A (GK-2A) enables the retrieval of dust aerosol optical depth (DAOD) from geostationary satellites using infrared (IR) channels. IR observations allow the retrieval of DAOD and the dust layer altitude (24 h) over surface properties, particularly over deserts. In this study, dust events in northeast Asia from 2020 to 2021 were investigated using five GK-2A thermal IR bands (8.7, 10.5, 11.4, 12.3, and 13.3 μm). For the dust cloud, the brightness temperature differences (BTDs) of 10.5 and 12.3 μm were consistently negative, while the BTD of 8.7 and 10.5 μm varied based on the dust intensity. This study exploited these optical properties to develop a physical approach for DAOD lookup tables (LUTs) using IR channels to retrieve the DAOD. To this end, the characteristics of thermal radiation transfer were simulated using the forward model; dust aerosols were explained by BTD (10.5, 12.3 μm)—an intrinsic characteristic of dust aerosol. The DAOD and dust properties were gained from a brightness temperature (BT) of 10.5 μm and BTD of 10.5, 12.3 μm. Additionally, the cumulative distribution function (CDF) was employed to strengthen the continuity of 24-h DAOD. The CDF was applied to the algorithm by calculating the conversion value coefficient for the DAOD error correction of the IR, with daytime visible aerosol optical depth as the true value. The results show that the DAOD product can be successfully applied during the daytime and nighttime to continuously monitor the flow of yellow dust from the GK-2A satellite in northeast Asia. In particular, the validation results for IR DAOD were similar to the active satellite product (CALIPSO/CALIOP) results, which exhibited a tendency similar to that for IR DAOD at night.
Intelligent, Flexible Artificial Throats with Sound Emitting, Detecting, and Recognizing Abilities
Authors: Fu Junxin , Deng Zhikang , Liu Chang , Liu Chuting , Luo Jinan , Wu Jingzhi , Peng Shiqi , Song Lei , Li Xinyi , Peng Minli , Liu Houfang , Zhou Jianhua , Qiao Yancong
Published: February 2024

In recent years, there has been a notable rise in the number of patients afflicted with laryngeal diseases, including cancer, trauma, and other ailments leading to voice loss. Currently, the market is witnessing a pressing demand for medical and healthcare products designed to assist individuals with voice defects, prompting the invention of the artificial throat (AT). This user-friendly device eliminates the need for complex procedures like phonation reconstruction surgery. Therefore, in this review, we will initially give a careful introduction to the intelligent AT, which can act not only as a sound sensor but also as a thin-film sound emitter. Then, the sensing principle to detect sound will be discussed carefully, including capacitive, piezoelectric, electromagnetic, and piezoresistive components employed in the realm of sound sensing. Following this, the development of thermoacoustic theory and different materials made of sound emitters will also be analyzed. After that, various algorithms utilized by the intelligent AT for speech pattern recognition will be reviewed, including some classical algorithms and neural network algorithms. Finally, the outlook, challenge, and conclusion of the intelligent AT will be stated. The intelligent AT presents clear advantages for patients with voice impairments, demonstrating significant social values.
Life Prediction of Rolling Bearing Based on Optimal Time–Frequency Spectrum and DenseNet-ALSTM
Authors: Chen Jintao , Yan Baokang , Dong Mengya , Ning Bowen
Published: February 2024

To address the challenges faced in the prediction of rolling bearing life, where temporal signals are affected by noise, making fault feature extraction difficult and resulting in low prediction accuracy, a method based on optimal time–frequency spectra and the DenseNet-ALSTM network is proposed. Firstly, a signal reconstruction method is introduced to enhance vibration signals. This involves using the CEEMDAN deconvolution method combined with the Teager energy operator for signal reconstruction, aiming to denoise the signals and highlight fault impacts. Subsequently, a method based on the snake optimizer (SO) is proposed to optimize the generalized S-transform (GST) time–frequency spectra of the enhanced signals, obtaining the optimal time–frequency spectra. Finally, all sample data are transformed into the optimal time–frequency spectrum set and input into the DenseNet-ALSTM network for life prediction. The comparison experiment and ablation experiment show that the proposed method has high prediction accuracy and ideal prediction performance. The optimization terms used in different contexts in this paper are due to different optimization methods, specifically the CEEMDAN method.
A Deep Learning Based Platform for Remote Sensing Images Change Detection Integrating Crowdsourcing and Active Learning
Authors: Wang Zhibao , Zhang Jie , Bai Lu , Chang Huan , Chen Yuanlin , Zhang Ying , Tao Jinhua
Published: February 2024

Remote sensing images change detection technology has become a popular tool for monitoring the change type, area, and distribution of land cover, including cultivated land, forest land, photovoltaic, roads, and buildings. However, traditional methods which rely on pre-annotation and on-site verification are time-consuming and challenging to meet timeliness requirements. With the emergence of artificial intelligence, this paper proposes an automatic change detection model and a crowdsourcing collaborative framework. The framework uses human-in-the-loop technology and an active learning approach to transform the manual interpretation method into a human-machine collaborative intelligent interpretation method. This low-cost and high-efficiency framework aims to solve the problem of weak model generalization caused by the lack of annotated data in change detection. The proposed framework can effectively incorporate expert domain knowledge and reduce the cost of data annotation while improving model performance. To ensure data quality, a crowdsourcing quality control model is constructed to evaluate the annotation qualification of the annotators and check their annotation results. Furthermore, a prototype of automatic detection and crowdsourcing collaborative annotation management platform is developed, which integrates annotation, crowdsourcing quality control, and change detection applications. The proposed framework and platform can help natural resource departments monitor land cover changes efficiently and effectively.
Serious Game with Electromyography Feedback and Physical Therapy in Young Children with Unilateral Spastic Cerebral Palsy and Equinus Gait: A Prospective Open-Label Study
Authors: Boulay Christophe , Gracies Jean-Michel , Garcia Lauren , Authier Guillaume , Ulian Alexis , Pradines Maud , Vieira Taian Martins , Pinto Talita , Gazzoni Marco , Desnous Béatrice , Parratte Bernard , Pesenti Sébastien
Published: February 2024

The clinical effects of a serious game with electromyography feedback (EMGs_SG) and physical therapy (PT) was investigated prospectively in children with unilateral spastic cerebral palsy (USCP). An additional aim was to better understand the influence of muscle shortening on function. Thirty children with USCP (age 7.6 ± 2.1 years) received four weeks of EMGs_SG sessions 2×/week including repetitive, active alternating training of dorsi- and plantar flexors in a seated position. In addition, each child received usual PT treatment ≤ 2×/week, involving plantar flexor stretching and command strengthening on dorsi- and plantar flexors. Five-Step Assessment parameters, including preferred gait velocity (normalized by height); plantar flexor extensibility (XV1); angle of catch (XV3); maximal active ankle dorsiflexion (XA); and derived coefficients of shortening, spasticity, and weakness for both soleus and gastrosoleus complex (GSC) were compared pre and post treatment (t-tests). Correlations were explored between the various coefficients and gait velocities at baseline. After four weeks of EMGs_SG + PT, there was an increase in normalized gait velocity from 0.72 ± 0.13 to 0.77 ± 0.13 m/s (p = 0.025, d = 0.43), a decrease in coefficients of shortening (soleus, 0.10 ± 0.07 pre vs. 0.07 ± 0.08 post, p = 0.004, d = 0.57; GSC 0.16 ± 0.08 vs. 0.13 ± 0.08, p = 0.003, d = 0.58), spasticity (soleus 0.14 ± 0.06 vs. 0.12 ± 0.07, p = 0.02, d = 0.46), and weakness (soleus 0.14 ± 0.07 vs. 0.11 ± 0.07, p = 0.005, d = 0.55). At baseline, normalized gait velocity correlated with the coefficient of GSC shortening (R = −0.43, p = 0.02). Four weeks of EMGs_SG and PT were associated with improved gait velocity and decreased plantar flexor shortening. A randomized controlled trial comparing EMGs_SG and conventional PT is needed.
The Effect of Rotation on Gas Storage in Nanoporous Materials
Authors: Mitropoulos Athanasios Ch. , Kosheleva Ramonna I. , Kostoglou Margaritis , Karapantsios Thodoris D.
Published: February 2024

Nanoporous materials offer a promising solution for gas storage applications in various scientific and engineering domains. However, several crucial challenges need to be addressed, including adsorptive capacity, rapid loading, and controlled gas delivery. A potential approach to tackle these issues is through rotation-based methods. In this study, we investigate the impact of rotation on CO2 adsorption using activated carbon, both at the early and late stages of the adsorption process. Towards this direction, three sets of experiments were conducted: (i) adsorption isotherm with rotation at each gas loading, (ii) adsorption kinetics with multiple rotations performed in sequence 15 min after CO2 introduction, and (iii) adsorption kinetics with a single rotation after 40 h of adsorption and repetition after another 20 h. For the first two cases, the comparison was performed by respective measurements without rotation, while for the last case, results were compared to a theoretical pseudo-first-order kinetic curve. Our findings demonstrate that rotation enhances the adsorptive capacity by an impressive 54%, accelerates kinetics by a factor of 3.25, and enables controllable gas delivery by adjusting the angular velocity. These results highlight rotation as a promising technique to optimize gas storage in nanoporous materials, facilitating advancements in numerous scientific and engineering applications.
Object Detection with Hyperparameter and Image Enhancement Optimisation for a Smart and Lean Pick-and-Place Solution
Authors: Kee Elven , Chong Jun Jie , Choong Zi Jie , Lau Michael
Published: February 2024

Pick-and-place operations are an integral part of robotic automation and smart manufacturing. By utilizing deep learning techniques on resource-constraint embedded devices, the pick-and-place operations can be made more accurate, efficient, and sustainable, compared to the high-powered computer solution. In this study, we propose a new technique for object detection on an embedded system using SSD Mobilenet V2 FPN Lite with the optimisation of the hyperparameter and image enhancement. By increasing the Red Green Blue (RGB) saturation level of the images, we gain a 7% increase in mean Average Precision (mAP) when compared to the control group and a 20% increase in mAP when compared to the COCO 2017 validation dataset. Using a Learning Rate of 0.08 with an Edge Tensor Processing Unit (TPU), we obtain high real-time detection scores of 97%. The high detection scores are important to the control algorithm, which uses the bounding box to send a signal to the collaborative robot for pick-and-place operation.
Generation of Scale-Free Assortative Networks via Newman Rewiring for Simulation of Diffusion Phenomena
Authors: Di Lucchio Laura , Modanese Giovanni
Published: February 2024

By collecting and expanding several numerical recipes developed in previous work, we implement an object-oriented Python code, based on the networkX library, for the realization of the configuration model and Newman rewiring. The software can be applied to any kind of network and “target” correlations, but it is tested with focus on scale-free networks and assortative correlations. In order to generate the degree sequence we use the method of “random hubs”, which gives networks with minimal fluctuations. For the assortative rewiring we use the simple Vazquez-Weigt matrix as a test in the case of random networks; since it does not appear to be effective in the case of scale-free networks, we subsequently turn to another recipe which generates matrices with decreasing off-diagonal elements. The rewiring procedure is also important at the theoretical level, in order to test which types of statistically acceptable correlations can actually be realized in concrete networks. From the point of view of applications, its main use is in the construction of correlated networks for the solution of dynamical or diffusion processes through an analysis of the evolution of single nodes, i.e., beyond the Heterogeneous Mean Field approximation. As an example, we report on an application to the Bass diffusion model, with calculations of the time tmax of the diffusion peak. The same networks can additionally be exported in environments for agent-based simulations like NetLogo.
Organic Amendments: Enhancing Plant Tolerance to Salinity and Metal Stress for Improved Agricultural Productivity
Authors: Irin Israt Jahan , Hasanuzzaman Mirza
Published: February 2024

Salinity and metal stress are significant abiotic factors that negatively influence plant growth and development. These factors lead to diminished agricultural yields on a global scale. Organic amendments have emerged as a potential solution for mitigating the adverse effects of salinity and metal stress on plants. When plants experience these stresses, they produce reactive oxygen species, which can impair protein synthesis and damage cellular membranes. Organic amendments, including biochar, vermicompost, green manure, and farmyard manure, have been shown to facilitate soil nitrogen uptake, an essential component for protein synthesis, and enhance various plant processes such as metabolism, protein accumulation, and antioxidant activities. Researchers have observed that the application of organic amendments improves plant stress tolerance, plant growth, and yield. They achieve this by altering the plant’s ionic balance, enhancing the photosynthetic machinery, boosting antioxidant systems, and reducing oxidative damage. The potential of organic amendments to deal effectively with high salinity and metal concentrations in the soil is gaining increased attention and is becoming an increasingly popular practice in the field of agriculture. This review aims to provide insights into methods for treating soils contaminated with salinity and heavy metals by manipulating their bioavailability through the use of various soil amendments.
The Impact of Curbing Housing Speculation on Household Entrepreneurship in China
Authors: Sun Yongzhi , Ma Qiong , Gan Li
Published: February 2024

We document a speculation channel and complement the well-documented collateral channels by offering novel evidence about the effect of curbing housing speculation policies We estimate the positive effect of discouraging housing speculation on household entrepreneurship in China. By exploiting the city-level variations in the stringency of home purchase restrictions between 2011 and 2019 and five waves of China Household Finance Survey (CHFS) data, we find that discouraging housing speculation significantly increases the likelihood of local households starting a business. To address endogeneity concerns, we exploit plausibly exogenous variation using IV estimations and DID research design. The positive effect is stronger for local multiple-home owners, homeowners without mortgage debt, households with previous entrepreneurial experience, households of risk-loving, and households with large assets. This conclusion is robust with city-level evidence. In the mechanism discussion, we find that discouraging housing speculation significantly reduces the likelihood and the plans of local households to purchase new homes and lowers the house price expectations of local households (thus the opportunity cost of starting a business). We also provide evidence supporting the view that discouraging housing speculation increases entrepreneurial opportunities, innovative development, and local households’ social network investments, all of which contribute to starting a business. The results imply that policies to curb housing speculation can lead to beneficial spillover on entrepreneurship and the local economy, as well as contribute to the sustainability of economic growth.
Biliary Leak from Ducts of Luschka: Systematic Review of the Literature
Authors: Vitiello Antonio , Spagnuolo Maria , Persico Marcello , Peltrini Roberto , Berardi Giovanna , Calabrese Pietro , De Werra Carlo , Rescigno Carmela , Troisi Roberto , Pilone Vincenzo
Published: February 2024

Injury to the Luschka ducts (LDs), also named “subvesicular” ducts, is an under-reported cause of biliary leak following laparoscopic cholecystectomy (LC). A systematic literature search according to PRISMA guidelines was conducted in PubMed, EMBASE and Cochrane Library including all publications that described a bile leak from an LD. A total of 136 articles were retrieved from the searched databases. After the removal of duplicates and non-eligible papers, 48 studies reporting 231 leaks were included: 20 (41.6%) case reports, 2 (4.3%) comparative studies, 7 (14.9%) meeting abstracts and 19 (40.4%) retrospective cohort articles. The rate of LD leak ranges from 0.05% to 1.9%, but injury to a duct of Luschka was the second most common cause of biliary leakage in all the cohort studies (5.5% to 41%). In 21 (43.7%) cases, the leak was successfully treated with a sphincterotomy through Endoscopic Retrograde Cholangiopancreatography (ERCP) plus or minus stenting, and in 12 (25%), re-laparoscopy was necessary.
Correction: Klimchitskaya et al. Nonequilibrium Casimir–Polder Interaction between Nanoparticles and Substrates Coated with Gapped Graphene. Symmetry 2023, 15, 1580
Authors: Klimchitskaya Galina L. , Korikov Constantine C. , Mostepanenko Vladimir M. , Tsybin Oleg Yu.
Published: February 2024

The authors wish to make the following corrections in their paper [...]