bluuebunny/crossref_metadata_2025 huggingface dataset:
GM-DETR: Research on a Defect Detection Method Based on Improved DETR
Authors: Liu Xin , Yang Xudong , Shao Lianhe , Wang Xihan , Gao Quanli , Shi Hongbo
Published: June 2024

Defect detection is an indispensable part of the industrial intelligence process. The introduction of the DETR model marked the successful application of a transformer for defect detection, achieving true end-to-end detection. However, due to the complexity of defective backgrounds, low resolutions can lead to a lack of image detail control and slow convergence of the DETR model. To address these issues, we proposed a defect detection method based on an improved DETR model, called the GM-DETR. We optimized the DETR model by integrating GAM global attention with CNN feature extraction and matching features. This optimization process reduces the defect information diffusion and enhances the global feature interaction, improving the neural network’s performance and ability to recognize target defects in complex backgrounds. Next, to filter out unnecessary model parameters, we proposed a layer pruning strategy to optimize the decoding layer, thereby reducing the model’s parameter count. In addition, to address the issue of poor sensitivity of the original loss function to small differences in defect targets, we replaced the L1 loss in the original loss function with MSE loss to accelerate the network’s convergence speed and improve the model’s recognition accuracy. We conducted experiments on a dataset of road pothole defects to further validate the effectiveness of the GM-DETR model. The results demonstrate that the improved model exhibits better performance, with an increase in average precision of 4.9% (mAP@0.5), while reducing the parameter count by 12.9%.
Place Recognition through Multiple LiDAR Scans Based on the Hidden Markov Model
Authors: Gui Linqiu , Zeng Chunnian , Luo Jie , Yang Xu
Published: June 2024

Autonomous driving systems for unmanned ground vehicles (UGV) operating in enclosed environments strongly rely on LiDAR localization with a prior map. Precise initial pose estimation is critical during system startup or when tracking is lost, ensuring safe UGV operation. Existing LiDAR-based place recognition methods often suffer from reduced accuracy due to only matching descriptors from individual LiDAR keyframes. This paper proposes a multi-frame descriptor-matching approach based on the hidden Markov model (HMM) to address this issue. This method enhances the place recognition accuracy and robustness by leveraging information from multiple frames. Experimental results from the KITTI dataset demonstrate that the proposed method significantly enhances the place recognition performance compared with the scan context-based single-frame descriptor-matching approach, with an average performance improvement of 5.8% and with a maximum improvement of 15.3%.
NTCE-KD: Non-Target-Class-Enhanced Knowledge Distillation
Authors: Li Chuan , Teng Xiao , Ding Yan , Lan Long
Published: June 2024

Most logit-based knowledge distillation methods transfer soft labels from the teacher model to the student model via Kullback–Leibler divergence based on softmax, an exponential normalization function. However, this exponential nature of softmax tends to prioritize the largest class (target class) while neglecting smaller ones (non-target classes), leading to an oversight of the non-target classes’s significance. To address this issue, we propose Non-Target-Class-Enhanced Knowledge Distillation (NTCE-KD) to amplify the role of non-target classes both in terms of magnitude and diversity. Specifically, we present a magnitude-enhanced Kullback–Leibler (MKL) divergence multi-shrinking the target class to enhance the impact of non-target classes in terms of magnitude. Additionally, to enrich the diversity of non-target classes, we introduce a diversity-based data augmentation strategy (DDA), further enhancing overall performance. Extensive experimental results on the CIFAR-100 and ImageNet-1k datasets demonstrate that non-target classes are of great significance and that our method achieves state-of-the-art performance across a wide range of teacher–student pairs.
Use of Optical and Radar Imagery for Crop Type Classification in Africa: A Review
Authors: Choukri Maryam , Laamrani Ahmed , Chehbouni Abdelghani
Published: June 2024

Multi-source remote sensing-derived information on crops contributes significantly to agricultural monitoring, assessment, and management. In Africa, some challenges (i.e., small-scale farming practices associated with diverse crop types and agricultural system complexity, and cloud coverage during the growing season) can imped agricultural monitoring using multi-source remote sensing. The combination of optical remote sensing and synthetic aperture radar (SAR) data has emerged as an opportune strategy for improving the precision and reliability of crop type mapping and monitoring. This work aims to conduct an extensive review of the challenges of agricultural monitoring and mapping in Africa in great detail as well as the current research progress of agricultural monitoring based on optical and Radar satellites. In this context optical data may provide high spatial resolution and detailed spectral information, which allows for the differentiation of different crop types based on their spectral signatures. However, synthetic aperture radar (SAR) satellites can provide important contributions given the ability of this technology to penetrate cloud cover, particularly in African tropical regions, as opposed to optical data. This review explores various combination techniques employed to integrate optical and SAR data for crop type classification and their applicability and limitations in the context of African countries. Furthermore, challenges are discussed in this review as well as and the limitations associated with optical and SAR data combination, such as the data availability, sensor compatibility, and the need for accurate ground truth data for model training and validation. This study also highlights the potential of advanced modelling (i.e., machine learning algorithms, such as support vector machines, random forests, and convolutional neural networks) in improving the accuracy and automation of crop type classification using combined data. Finally, this review concludes with future research directions and recommendations for utilizing optical and SAR data combination techniques in crop type classification for African agricultural systems. Furthermore, it emphasizes the importance of developing robust and scalable classification models that can accommodate the diversity of crop types, farming practices, and environmental conditions prevalent in Africa. Through the utilization of combined remote sensing technologies, informed decisions can be made to support sustainable agricultural practices, strengthen nutritional security, and contribute to the socioeconomic development of the continent.
Exposure to Benzo(a)pyrene Enhances Acetaminophen-Induced Liver Injury in Mice at Non-Hepatotoxic Doses
Authors: Montero-Pérez Yina , Olivero-Verbel Jesus
Published: June 2024

Acetaminophen (APAP) is a widely used analgesic, especially for children. Its primary mechanism involves inhibiting cyclooxygenase enzymes and activating the endocannabinoid and TRPV1 systems. Though its toxicity is low, it can harm the liver in a dose-dependent manner. Low APAP doses can also increase pollutant-induced liver damage. Little is known about interactions between APAP and benzo[a]pyrene (B[a]P). This study aimed to assess if co-exposure to non-hepatotoxic doses of B[a]P and APAP causes liver injury in mice, exploring the underlying mechanisms. Female ICR mice received 50 mg/kg B[a]P or a vehicle for three days, followed by 200 mg/kg APAP or a vehicle. Liver injury was assessed through histopathological examination, serum transaminase activity, and gene expression analysis. In the B[a]P/APAP group, several histology changes were observed, including ballooning injury, steatosis, necrosis, inflammation, and apoptosis. Transaminase levels correlated with histopathological scores, and there was an increase in hepatic cytochrome P450 family 1 subfamily a member 1 (Cyp1a1) mRNA levels and a decrease in aryl hydrocarbon receptor (Ahr), cytochrome P450 family 2 subfamily e polypeptide 1 (Cyp2e1), superoxide dismutase 1 (Sod1), peroxisome proliferator activated receptor gamma (Ppar-γ), and caspase 3 (Casp3). This suggests that prior exposure to B[a]P makes mice more susceptible to APAP-induced liver injury, involving changes in gene expression related to metabolism, redox balance, and cell proliferation. Therefore, using therapeutic APAP doses after exposure to B[a]P could lead to liver injury.
In Situ Formed Organic Ion-Associate Liquid-Phase Microextraction without Centrifugation from Aqueous Solutions Using Thymol Blue and Estrogens
Authors: Osada Sachiko , Takahashi Seira , Sazawa Kazuto , Kuramitz Hideki , Kohama Nozomi , Okazaki Takuya , Taguchi Shigeru , Hata Noriko
Published: June 2024

In this study, we present a method for ion-associated liquid phase (IALP) separation and concentration of analytes from an aqueous matrix into an IALP formed in situ by the charge neutralization reaction of organic cations and anions, without centrifugation. The effects of various factors on the extraction efficiency and other parameters are investigated, whereas no instrumental stirring, such as vortexing or ultrasonics, is required because the solvent (IALP) is formed in situ. The organic cation and anion used are ethylhexyloxypropylammonium and dodecyl sulfate, respectively. The developed in situ IALP microextraction method for phase separation without centrifugation is tested using the thymol blue dye and several endocrine disruptors. The tested endocrine disruptors (bisphenol A, 17β-estradiol, 17α-ethinylestradiol, and estrone) are analyzed via high-performance liquid chromatography/fluorescence detection, with respective detection limits of 0.02, 0.02, 0.02, and 0.4 μg L−1, and the corresponding enrichment factor ranging from 47 to 71. This IALP microextraction method can be used to separate and concentrate environmental water samples of different matrices. The employed IALP is fast and easy to use, enables an approximately 100-fold analyte concentration, and has a high affinity for estrogens, thus holding promise for the separation, concentration, and quantitation of diverse trace analytes.
Urolithins and Their Precursors Ellagic Acid and Ellagitannins: Natural Sources, Extraction and Methods for Their Determination
Authors: Mantzourani Christiana , Kakouri Eleni , Palikaras Konstantinos , Tarantilis Petros A. , Kokotou Maroula G.
Published: June 2024

In the present review, we discuss the occurrence of ellagitannins (ETs) and ellagic acid (EA) and methods for their isolation from plant materials. We summarize analytical methods, including high-performance liquid chromatography–ultraviolet (HPLC–UV) and liquid chromatography–mass spectrometry (LC–MS), for the determination of ETs, EA and their bioactive metabolites urolithins (Uros) in samples of plant and food origin, as well as in biological samples, such as plasma, urine and feces. In addition, the current interest in the bioactivities of Uros is discussed in brief.
Phytochemical Identification and Anti-Oxidative Stress Effects Study of Cimicifugae Rhizoma Extract and Its Major Component Isoferulic Acid
Authors: Liu Jing , Chang Aqian , Peng Hulinyue , Yin Xingbin , Dong Xiaoxv , Qu Changhai , Ni Jian
Published: June 2024

Background and Objectives: Cimicifugae Rhizoma, also known as ‘Sheng ma’ in Madeiran, is a widely used Chinese herbal medicine that has several pharmacological qualities, one of which is its antioxidant activity. Isoferulic acid, a prominent phenolic compound found in Cimicifugae Rhizoma, has potent antioxidant properties. This study was aimed to comprehensively analyze the components in Cimicifugae Rhizoma and rat plasma to evaluate the in vitro antioxidant and anti-inflammatory properties of Cimicifugae Rhizoma extract and Isoferulic acid as potential candidates for developing herbal formulations targeting podocyte injury in diabetic nephropathy for further clinical utilization. Materials and Methods: UPLC/Q-TOF-MS and HPLC were utilized as analytical tools to identify components of Cimicifugae Rhizoma extract or rat plasma after administrating it. MPC5 cells were cultured with H2O2 and high glucose and subjected to oxidative stress injury. The CXCL12/CXCR4 system plays a crucial role at certain stages of multiple kidney diseases’ injury. Apoptosis-related and target CXCL12/CXCR4/mTOR/Caspase-3 and Cask protein levels were assessed, and the levels of inflammatory-related factors, motility, morphology, ROS level, and apoptosis in podocytes were tested. Results: A total of 82 and 39 components were identified in the Cimicifugae Rhizoma extract and plasma, and Isoferulic acid content was determined as 6.52 mg/g in the Cimicifugae Rhizoma extract. The Cimicifugae Rhizoma extract (1 μg/mL) and Isoferulic acid (10, 25, 50 μM) considerably decreased high glucose and oxidative-stress-mediated toxicity, impaired mobility and adhesion and apoptotic changes in MPC5 cells, and reversed inflammation response. Moreover, the Cimicifugae Rhizoma extract and Isoferulic acid down-regulated Cask, mTOR, and Caspase-3, while significantly blocking the overactivation of CXCL12/CXCR4 in podocytes stimulated by oxidative stress and high glucose. Conclusions: These results indicate that the renal protective mechanism of the Cimicifugae Rhizoma extract and Isoferulic acid on simulating H2O2-induced podocyte injury involves mainly the of CXCL12/CXCR4 pathways and the inactivation of oxidative-stress-mediated apoptotic pathways after comprehensive qualitative and quantitative research by UPLC/Q-TOF-MS and HPLC. These findings provide an important efficacy and ingredient basis for further study on the clinical utilities of Cimicifugae Rhizoma and Isoferulic acid on podocyte and kidney impairment.
Critical Experiments and Thermodynamic Modeling of the Li2O-SiO2 System
Authors: de Abreu Danilo Alencar , Fabrichnaya Olga
Published: June 2024

Phase equilibria studies were performed in the Li2O-SiO2 system for heat-treated samples using Scanning Electron Microscope (SEM) and X-Ray Diffraction (XRD). The temperature of the eutectic reaction (Liq. ⇌ Li4SiO4 + Li2SiO3) was experimentally determined at 1289 K using Differential Thermal Analysis (DTA). No evidences of the Li6Si2O7 formation was found by the experimental investigation and therefore, it was not considered. Heat capacity of the Li8SiO6 phase was measured using Differential Scanning Calorimetry (DSC). Solid phases of the Li2O-SiO2 system were described as stoichiometric compounds and liquid phases by two-sublattice partially ionic liquid model. Four stoichiometric intermediate compounds were considered to be stable (Li8SiO6, Li4SiO4, Li2SiO3 and Li2Si2O5). The polymorphic transformation in Li2Si2O5 phase was accounted and the metastable liquid miscibility gap on SiO2-rich side was reproduced. The calculated phase diagram satisfactorily agrees with the experimental phase equilibria as well as calculated thermodynamic properties reproduces experimental values within uncertainty limits.
Owning versus Renting a Home—Prospects for Generation Z
Authors: Napiórkowska-Baryła Agnieszka , Świdyńska Natalia , Witkowska-Dąbrowska Mirosława
Published: June 2024

The Sustainable Development Goals (SDG) include sustainable cities and communities. The availability of housing for young people is a contemporary global problem, and the severity of housing problems for young people in many countries is widely discussed and raises important policy questions. Generation Z, described as digital, critical, adventurous, open-minded and, above all, mobile people, is now entering adulthood. The study attempted to identify the housing preferences of young people to determine whether they prefer renting a flat or owning one. Although generation Z differs from older generations in many respects, their perception of the housing issue does not differ significantly from the attitudes presented by older generations. The dominant model of the housing system in Poland, the non-commodified-familial model, which prefers ownership over renting, is also shared by the youngest generation. Hence, the conclusion addressed to the public authorities and the financing system is to enable the expansion of the credit offer supported by a long-term savings plan aimed at young people. Renting as an alternative way of securing housing needs is also perceived positively, with nearly 80% of respondents stating that they would be able to live in rented accommodation, mainly due to greater mobility, rising property prices and reluctance to take out a long-term loan. Hence, we suggest the need to support institutional renting along the lines of other countries with similar housing systems.
Evaluation and Spatial–Temporal Pattern Evolution of Synergy Degree of Emergency Management for Urban Flood Disasters from the Perspective of Sustainable Development—The Case of Henan, China
Authors: Hao Yu , Wang Chen , Sun Chaolun , Liu Delin
Published: June 2024

The management of urban flood disasters is a systematic engineering project that requires a great amount of manpower, material resources, and financial resources, and the interaction and coordination degrees of various elements in the system deeply affect the efficiency of the final governance. According to the theories of synergy, composite systems, and sustainable development, this research first established an evaluation index system to determine the synergy degree of urban flood disaster emergency management from the four dimensions of prevention and preparation, monitoring and early warning, response and rescue, and recovery and reconstruction. Then, the synergy degree was explored by using the developed composite system synergy degree model on the basis of the panel data of 18 prefecture-level cities in Henan Province from 2013 to 2021, and synergy level change characteristics were analyzed from the perspectives of time and space. Finally, the obstacle degree model was applied to explore the obstacle factors affecting synergy degree development. The results showed that the overall level of the urban flood disaster emergency management coordination degree in Henan Province was relatively low, and there were significant differences in synergy among cities. Among them, 12 cities presented mild synergy, and 6 cities showed mild nonsynergy. The spatial correlation of the synergy degree was not stable, which revealed a lack of mature coordination mechanisms for flood disaster emergency management among cities. The analysis of obstacle factors showed that recovery and reconstruction subsystems were the main obstacle systems that affected the synergy degree.
The Effect of Storage Time and Temperature on Quality Changes in Freeze-Dried Snacks Obtained with Fruit Pomace and Pectin Powders as a Sustainable Approach for New Product Development
Authors: Karwacka Magdalena , Ciurzyńska Agnieszka , Galus Sabina , Janowicz Monika
Published: June 2024

The study aimed to evaluate the effect of storage temperature on quality changes in freeze-dried carrot–orange–ginger (COG) snacks obtained with 2% of apple (AP) or blackcurrant (BP) pomace powder or 1.5% of pectin (LMP). The material was stored at 4, 25 and 40 °C for 1, 3, 6 and 12 months in pouches impermeable to vapour, oxygen and light. Water content and activity, texture, colour, total polyphenol content and antioxidant activity were examined to evaluate the products’ quality. During storage, water content and activity fluctuations were noted, but no critical values were exceeded. Texture properties remained stable in snacks with pomace powders compared to those with pectin, the hardness of which significantly decreased when stored at ambient and elevated temperatures. However, the product with pectin was found to change colour the least over time. The results obtained for chemical properties were not clear, but they strongly indicated the occurrence of the transformation of some chemical compounds. Overall, a lowered temperature helped to maintain the quality of the freeze-dried snacks for the longest time. The presented research contributes to the general knowledge of the behaviour of innovative products with the addition of nonconventional but sustainable compounds, revealing the potential for quality and stability improvements.
Advancing Sustainability in Geotechnical Engineering
Authors: Wang Shuren , Cao Chen , Yang Hongwei
Published: June 2024

Geotechnical engineering is a key element for all engineering construction that establishes contact with the earth, including foundation engineering, slope engineering, tunnel engineering, mining engineering, etc [...]
Economic and Environmental Benefit Analysis between Crumb Rubber Concrete and Ordinary Portland Cement Concrete
Authors: Xiong Guanghong , Al-Deen Safat , Guan Xiao , Qin Qing , Zhang Chenghua
Published: June 2024

Although manifold empirical studies have identified the mechanical properties of crumb rubber concrete (CRC), a comparative analysis of economic and environmental benefits between CRC and ordinary Portland cement concrete (OPCC) is not explored. In this paper, a quantitative meta-analysis between CRC and OPCC is conducted to explore optimized design strength, and a comparative analysis of the economic and environmental benefits of the two materials is undertaken. Considering cost price as the economic index and CO2 emissions per cubic meter of concrete as the environmental index in the materialization stage, CRC and OPCC were compared with different mix designs to achieve grades of similar strengths. Upon replacing less than 20% of natural fine aggregates in concrete with crumb rubber, while retaining the cement content, an increase of 6% in the cost price was achieved for CRC with 30–40 MPa strength grade. Apart from the aspect of mining and transportation of natural aggregates, the reduction of CO2 emissions by means of CRC adoption was verified in the treatment process of waste tire incineration. The results show that CO2 emissions from CRC decreased by 15–17% when compared with OPCC for 30~40 MPa grade concrete. The research conclusion can serve as a theoretical basis for the engineering application of CRC with the same strength, and make certain contributions to the industrial application of crumb rubber aggregates and the sustainable treatment of waste tires.
Secondary Succession in Fallow Agroforestry Systems Managed in Tropical Dry Forest in Western Mexico
Authors: Pacheco-Flores Alana , Casas Alejandro , Moreno-Calles Ana I. , Lindig-Cisneros Roberto , Rendón-Sandoval Francisco Javier , Mora-Ardila Francisco , Estañol-Tecuatl Fernando , Álvarez-Ríos Gonzalo D. , Ortega-Álvarez Rubén
Published: June 2024

Tropical dry forests (TDFs) are ecosystems of high biocultural value, in which agroforestry systems (AFSs) have been essential in their management and conservation. We aimed to characterize agroforestry practices and analyze their capacity to conserve perennial plant diversity. In addition, we sought to evaluate how the management of TDFs as AFSs, together with their regeneration, influences species diversity and vegetation structure in a landscape with AFSs and TDFs in different conservation states. We compared the species diversity and basal area (BA) of plants in active and fallow AFSs at different regeneration stages in Zacualpan, Colima, Mexico. We found that AFSs harbored 71% of species richness (0D), forming a mosaic that contributed to the gamma diversity (124 species) of TDFs in the area. AFSs supported 23 endemic and 12 protected species. TDFs, active and advanced regeneration AFSs, had the highest number of useful species and diversity. Species richness (0D) in management categories increased as succession progressed, but not the BA, possibly due to frequent browsing and wood and firewood extraction. However, BA may be related to the management of useful trees maintained through agroforestry practices. We suggest increasing the matrix quality through a mosaic of active and fallow AFSs to promote ecological connectivity and biodiversity conservation.
Research on the Design Strategy of Double–Skin Facade in Cold and Frigid Regions—Using Xinjiang Public Buildings as an Example
Authors: Liu Xiang , Wang Wanjiang , Ding Yingjie , Wang Kun , Li Jie , Cha Han , Saierpeng Yeriken
Published: June 2024

In the context of global warming, the focus on applying and researching double–skin facade (DSF) systems to reduce energy consumption in buildings has significantly increased. However, researchers have not thoroughly examined the performance and applicability of DSFs in severe cold regions with high winter heating demands. This study aims to evaluate the potential application of DSFs in the harsh cold cities of Northwest China and investigate their role in enhancing energy efficiency in large public buildings. Through energy consumption simulation and a comprehensive evaluation using the TOPSIS entropy weight method, the effects of applying 20 DSF schemes in four cold cities in Xinjiang (Kashgar, Urumqi, Altay, and Turpan) were analyzed. The experimental results indicate that the average EUI energy–saving rates in Kashgar, Urumqi, Altay, and Turpan are 64.75%, 63.19%, 56.70%, and 49.41%, respectively. South–facing orientation is deemed optimal for DSF in Xinjiang cities, with the highest energy–saving rate reaching 15.19%. In Kashgar, the energy–saving benefits of west–facing DSF surpass those of north–facing DSF. Conversely, the order of orientation benefits for other cities is south, north, west, and east. An analysis of heating, cooling, and lighting energy consumption reveals that Box Windows exhibit superior heating energy efficiency, while Corridors are more effective for cooling. This characteristic is also evident in the optimal installation orientation of various types of curtain walls. Given the relatively higher demand for heating compared to cooling in urban areas, Box Windows yields significant benefits when facing south, west, or north; conversely, if there is a high demand for urban cooling, Corridors should be considered in these three directions. Multistorey DSF systems are suitable for east–facing buildings in Xinjiang cities. Selecting suitable DSF schemes based on specific conditions and requirements can reduce building energy consumption. The research findings offer theoretical guidance for designing and implementing DSF in diverse cities in cold regions.
General Method for Predicting Interface Bonding at Various Oxide–Metal Interfaces
Authors: Yoshitake Michiko
Published: June 2024

Interface termination bonding between metal oxide and metals is discussed from the viewpoint of thermodynamics. The method of interface termination prediction proposed by the authors for Al2O3–metal and ZnO–metal interfaces is extended to a general interface between metal-oxide and metals. The extension of the prediction method to the interface between metal oxides and elemental semiconductors is also discussed. Information on interface bonding was extracted by carefully examining the experimental results and first-principles calculations in the references. The extracted information on interface bonding from references is compared with the results obtained via the proposed prediction method. It is demonstrated that interface termination bonding can be predicted by extending the method to oxide–metal interfaces in general, when there is no interface reaction such as the reduction of oxide, oxidation of metal, or mixed oxide formation. The method uses only basic quantities of pure elements and the formation enthalpy of oxides. Therefore, it can be applied to most of the metals (including elemental semiconductors) in the periodic table and metal oxides with one stable valence. The method is implemented as a software, “InterChemBond”, and can be used free of charge.
Sustainable Production of Chitin Nanowhiskers from Crustacean Biomass Using Cost-Effective Ionic Liquids: Strategies to Avoid Byproduct Formation
Authors: Shkuratov Alexander S. , Panackal Shibu Reshma , Therasme Obste , Berton Paula , Shamshina Julia L.
Published: June 2024

Nanochitin, especially in the form of chitin nanowhiskers (ChNWs), represents a significant advance in biopolymer technology due to its high specific surface area, superior tensile strength, and excellent thermal stability. Derived from crustacean waste, which contains 15–40% of chitin, these materials provide a sustainable option that diverts waste from landfills and contributes to environmental conservation. Traditional methods of isolating nanochitin are energy-intensive and generate substantial waste. This study introduces a more sustainable method using inexpensive ionic liquids (ILs) such as [Hmim][HSO4] and [HN222][HSO4], which bypass the costly and destructive steps of traditional procedures. This study also identified the byproduct in IL-mediated chitin hydrolysis reaction as calcium sulfate dihydrate and presented a solution to circumvent the byproduct formation. The effectiveness of the [HN222][HSO4] IL in producing ChNWs from both purified chitin and crustacean biomass was assessed, showing a high yield and maintaining the purity and structural integrity of chitin, thereby demonstrating a significant reduction in the environmental footprint of ChNW production.
Deep Learning Approaches for Water Stress Forecasting in Arboriculture Using Time Series of Remote Sensing Images: Comparative Study between ConvLSTM and CNN-LSTM Models
Authors: Bounoua Ismail , Saidi Youssef , Yaagoubi Reda , Bouziani Mourad
Published: June 2024

Irrigation is crucial for crop cultivation and productivity. However, traditional methods often waste water and energy due to neglecting soil and crop variations, leading to inefficient water distribution and potential crop water stress. The crop water stress index (CWSI) has become a widely accepted index for assessing plant water status. However, it is necessary to forecast the plant water stress to estimate the quantity of water to irrigate. Deep learning (DL) models for water stress forecasting have gained prominence in irrigation management to address these needs. In this paper, we present a comparative study between two deep learning models, ConvLSTM and CNN-LSTM, for water stress forecasting using remote sensing data. While these DL architectures have been previously proposed and studied in various applications, our novelty lies in studying their effectiveness in the field of water stress forecasting using time series of remote sensing images. The proposed methodology involves meticulous preparation of time series data, where we calculate the crop water stress index (CWSI) using Landsat 8 satellite imagery through Google Earth Engine. Subsequently, we implemented and fine-tuned the hyperparameters of the ConvLSTM and CNN-LSTM models. The same processes of model compilation, optimization of hyperparameters, and model training were applied for the two architectures. A citrus farm in Morocco was chosen as a case study. The analysis of the results reveals that the CNN-LSTM model excels over the ConvLSTM model for long sequences (nine images) with an RMSE of 0.119 and 0.123, respectively, while ConvLSTM provides better results for short sequences (three images) than CNN-LSTM with an RMSE of 0.153 and 0.187, respectively.
A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions
Authors: Jouini Oumayma , Sethom Kaouthar , Namoun Abdallah , Aljohani Nasser , Alanazi Meshari Huwaytim , Alanazi Mohammad N.
Published: June 2024

Internet of Things (IoT) devices often operate with limited resources while interacting with users and their environment, generating a wealth of data. Machine learning models interpret such sensor data, enabling accurate predictions and informed decisions. However, the sheer volume of data from billions of devices can overwhelm networks, making traditional cloud data processing inefficient for IoT applications. This paper presents a comprehensive survey of recent advances in models, architectures, hardware, and design requirements for deploying machine learning on low-resource devices at the edge and in cloud networks. Prominent IoT devices tailored to integrate edge intelligence include Raspberry Pi, NVIDIA’s Jetson, Arduino Nano 33 BLE Sense, STM32 Microcontrollers, SparkFun Edge, Google Coral Dev Board, and Beaglebone AI. These devices are boosted with custom AI frameworks, such as TensorFlow Lite, OpenEI, Core ML, Caffe2, and MXNet, to empower ML and DL tasks (e.g., object detection and gesture recognition). Both traditional machine learning (e.g., random forest, logistic regression) and deep learning methods (e.g., ResNet-50, YOLOv4, LSTM) are deployed on devices, distributed edge, and distributed cloud computing. Moreover, we analyzed 1000 recent publications on “ML in IoT” from IEEE Xplore using support vector machine, random forest, and decision tree classifiers to identify emerging topics and application domains. Hot topics included big data, cloud, edge, multimedia, security, privacy, QoS, and activity recognition, while critical domains included industry, healthcare, agriculture, transportation, smart homes and cities, and assisted living. The major challenges hindering the implementation of edge machine learning include encrypting sensitive user data for security and privacy on edge devices, efficiently managing resources of edge nodes through distributed learning architectures, and balancing the energy limitations of edge devices and the energy demands of machine learning.
Application Value of a Novel Micro-Coil in High-Resolution Imaging of Experimental Mice Based on 3.0 T Clinical MR
Authors: Qiu Xueke , Liu Yang , Lv Fajin
Published: June 2024

The clinical magnetic resonance scanner (field strength ≤ 3.0 T) has limited efficacy in the high-resolution imaging of experimental mice. This study introduces a novel magnetic resonance micro-coil designed to enhance the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), thereby improving high-resolution imaging in experimental mice using clinical magnetic resonance scanners. Initially, a phantom was utilized to determine the maximum spatial resolution achievable by the novel micro-coil. Subsequently, 12 C57BL/6JGpt mice were included in this study, and the novel micro-coil was employed for their scanning. A clinical flexible coil was selected for comparative analysis. The scanning methodologies for both coils were consistent. The imaging clarity, noise, and artifacts produced by the two coils on mouse tissues and organs were subjectively evaluated, while the SNR and CNR of the brain, spinal cord, and liver were objectively measured. Differences in the images produced by the two coils were compared. The results indicated that the maximum spatial resolution of the novel micro-coil was 0.2 mm. Furthermore, the subjective evaluation of the images obtained using the novel micro-coil was superior to that of the flexible coil (p < 0.05). The SNR and CNR measurements for the brain, spinal cord, and liver using the novel micro-coil were significantly higher than those obtained with the flexible coil (p < 0.001). Our study suggests that the novel micro-coil is highly effective in enhancing the image quality of clinical magnetic resonance scanners in experimental mice.
The Role of [18F]FDG PET/CT in Predicting Toxicity in Patients with NHL Treated with CAR-T: A Systematic Review
Authors: Quartuccio Natale , Ialuna Salvatore , Pulizzi Sabina , D’Oppido Dante , Nicolosi Stefania , Moreci Antonino Maria
Published: June 2024

CAR-T-cell therapy, also referred to as chimeric antigen receptor T-cell therapy, is a novel method in the field of immunotherapy for the treatment of non-Hodgkin’s lymphoma (NHL). In patients receiving CAR-T-cell therapy, fluorodeoxyglucose Positron Emission Tomography/Computer Tomography ([18F]FDG PET/CT) plays a critical role in tracking treatment response and evaluating the immunotherapy’s overall efficacy. The aim of this study is to provide a systematic review of the literature on the studies aiming to assess and predict toxicity by means of [18F]FDG PET/CT in patients with NHL receiving CAR-T-cell therapy. PubMed/MEDLINE and Cochrane Central Register of Controlled Trials (CENTRAL) databases were interrogated by two investigators to seek studies involving the use of [18F]FDG PET/CT in patients with lymphoma undergoing CAR-T-cell therapy. The comprehensive computer literature search allowed 11 studies to be included. The risk of bias for the studies included in the systematic review was scored as low by using version 2 of the “Quality Assessment of Diagnostic Accuracy Studies” tool (QUADAS-2). The current literature emphasizes the role of [18F]FDG PET/CT in assessing and predicting toxicity in patients with NHL receiving CAR-T-cell therapy, highlighting the evolving nature of research in CAR-T-cell therapy. Additional studies are warranted to increase the collected evidence in the literature.
A Secondary Analysis of Gender Respiratory Features for Ultrasonography Bilateral Diaphragm Thickness, Respiratory Pressures, and Pulmonary Function in Low Back Pain
Authors: Molina-Hernández Nerea , Rodríguez-Sanz David , Chicharro José López , Becerro-de-Bengoa-Vallejo Ricardo , Losa-Iglesias Marta Elena , Vicente-Campos Davinia , Marugán-Rubio Daniel , Gutiérrez-Torre Samuel Eloy , Calvo-Lobo César
Published: June 2024

The aim of the present study was to determine the gender respiratory differences of bilateral diaphragm thickness, respiratory pressures, and pulmonary function in patients with low back pain (LBP). A sample of 90 participants with nonspecific LBP was recruited and matched paired by sex (45 women and 45 men). Respiratory outcomes included bilateral diaphragm thickness by ultrasonography, respiratory muscle strength by maximum inspiratory (MIP) and expiratory (MEP) pressures, and pulmonary function by forced expiratory volume during 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC spirometry parameters. The comparison of respiratory outcomes presented significant differences (p < 0.001), with a large effect size (d = 1.26–1.58) showing means differences (95% CI) for MIP of −32.26 (−42.99, −21.53) cm H2O, MEP of −50.66 (−64.08, −37.25) cm H2O, FEV1 of −0.92 (−1.18, −0.65) L, and FVC of −1.00 (−1.32, −0.69) L, with lower values for females versus males. Gender-based respiratory differences were presented for maximum respiratory pressures and pulmonary function in patients with nonspecific LBP. Women presented greater inspiratory and expiratory muscle weakness as well as worse lung function, although these differences were not linked to diaphragm thickness during normal breathing.
Self-Reliance in Community-Based Rural Tourism: Observing Tourism Villages (Desa Wisata) in Sleman Regency, Indonesia
Authors: Sutomo Yoan A. W. , Sianipar Corinthias P. M. , Hoshino Satoshi , Onitsuka Kenichiro
Published: June 2024

Self-reliance is essential for community-based rural tourism (CBRT), ensuring effective running in the long term. However, existing studies have focused on general self-reliance conditions while overlooking details surrounding the community’s self-reliance in each activity of the CBRT value chain. This study filled this significant gap by observing community self-reliance in CBRT and considering the tourism value chain (TVC) framework. Built upon the abduction method, this study applied the systematic combining approach to observe three aspects of self-reliance, i.e., goals or objectives, rights and abilities, and owned resources, in the TVC of CBRT entities. Taking the case of CBRT in Sleman Regency, Indonesia, the data collection involved representatives of 49 community-based tourism villages (desa wisata). The results showed that observing community self-reliance in CBRT allows for the identification of multifaceted self-reliance problems in rural tourism communities. Apparently, the observed CBRT initiatives are unable to achieve complete self-sufficiency across all aspects of self-reliance. Reliance on external collaboration and support networks persists out of necessity rather than an inability to self-manage. Policy protections, capacity building, and collaborative partnerships are necessary to develop resilient and sustainable rural tourism amidst necessary dependencies. CBRT planning and policies should hence consider the abovementioned aspects of self-reliance to empower CBRT toward sustainable rural development.
TBHQ Alleviates Particulate Matter-Induced Pyroptosis in Human Nasal Epithelial Cells
Authors: Kim Ji-Sun , Choi Hyunsu , Oh Jeong-Min , Kim Sung Won , Kim Soo Whan , Kim Byung Guk , Cho Jin Hee , Lee Joohyung , Lee Dong Chang
Published: June 2024

Pyroptosis represents a type of cell death mechanism notable for its cell membrane disruption and the subsequent release of proinflammatory cytokines. The Nod-like receptor family pyrin domain containing inflammasome 3 (NLRP3) plays a critical role in the pyroptosis mechanism associated with various diseases resulting from particulate matter (PM) exposure. Tert-butylhydroquinone (tBHQ) is a synthetic antioxidant commonly used in a variety of foods and products. The aim of this study is to examine the potential of tBHQ as a therapeutic agent for managing sinonasal diseases induced by PM exposure. The occurrence of NLRP3 inflammasome-dependent pyroptosis in RPMI 2650 cells treated with PM < 4 µm in size was confirmed using Western blot analysis and enzyme-linked immunosorbent assay results for the pyroptosis metabolites IL-1β and IL-18. In addition, the inhibitory effect of tBHQ on PM-induced pyroptosis was confirmed using Western blot and immunofluorescence techniques. The inhibition of tBHQ-mediated pyroptosis was abolished upon nuclear factor erythroid 2-related factor 2 (Nrf2) knockdown, indicating its involvement in the antioxidant mechanism. tBHQ showed potential as a therapeutic agent for sinonasal diseases induced by PM because NLRP3 inflammasome activation was effectively suppressed via the Nrf2 pathway.
Innovative Approach to Promoting Walkability in Lisbon
Authors: Ribeiro Jorge T. , Vieira Alexandra R. , Rosado Susana , Serdoura Francisco
Published: June 2024

The increases in both the elderly population and urbanization present new problems for planning new cities and managing old cities. To solve this challenge, innovative ideas/proposals that encourage walkability and reduce fossil energy motor transport are needed, in line with the actions advocated by Sustainable Development Goal #11 (SDG11), Sustainable Cities and Communities. Opening passages that cross blocks, creating connections between the streets, is the proposal discussed in this paper, as seen in cities like Paris, Prague, Milan, and Juíz de Fora, which have passages in their urban fabric. These can be implemented in a building’s rehabilitation or when a new building replaces it. New architectural project designs should have several characteristics that promote walkability in the city, including passages and galleries. Although previous research has obtained promising results, extending the research to different urban fabrics and block sizes is needed. Using space syntax and data analysis, we simulated and quantitatively assessed the walkability of three neighborhoods in Lisbon, Portugal. The comparison of all simulations and the discussion of the results show that the passages improve walkability. It is also noticeable that there is higher walkability in orthogonal urban fabrics than in non-orthogonal fabrics. The results for block size are inconclusive.
Getting Hold of the Tobamovirus Particle—Why and How? Purification Routes over Time and a New Customizable Approach
Authors: Wendlandt Tim , Britz Beate , Kleinow Tatjana , Hipp Katharina , Eber Fabian J. , Wege Christina
Published: June 2024

This article develops a multi-perspective view on motivations and methods for tobamovirus purification through the ages and presents a novel, efficient, easy-to-use approach that can be well-adapted to different species of native and functionalized virions. We survey the various driving forces prompting researchers to enrich tobamoviruses, from the search for the causative agents of mosaic diseases in plants to their increasing recognition as versatile nanocarriers in biomedical and engineering applications. The best practices and rarely applied options for the serial processing steps required for successful isolation of tobamoviruses are then reviewed. Adaptations for distinct particle species, pitfalls, and ‘forgotten’ or underrepresented technologies are considered as well. The article is topped off with our own development of a method for virion preparation, rooted in historical protocols. It combines selective re-solubilization of polyethylene glycol (PEG) virion raw precipitates with density step gradient centrifugation in biocompatible iodixanol formulations, yielding ready-to-use particle suspensions. This newly established protocol and some considerations for perhaps worthwhile further developments could serve as putative stepping stones towards preparation procedures appropriate for routine practical uses of these multivalent soft-matter nanorods.
HCV Cascade of Care in HIV/HCV Co-Infected Individuals: Missed Opportunities for Micro-Elimination
Authors: Thomadakis Christos , Basoulis Dimitrios , Tsachouridou Olga , Protopapas Konstantinos , Paparizos Vasilios , Astriti Myrto , Chini Maria , Chrysos Georgios , Marangos Markos , Panagopoulos Periklis , Kofteridis Diamantis , Sambatakou Helen , Mastrogianni Elpida , Panatzis Nikos , Pechlivanidou Evmorfia , Psichοgiou Mina , Touloumi Giota
Published: June 2024

People living with HIV-HCV co-infection comprise a target group for HCV-micro-elimination. We conducted an HCV cascade of care (CoC) for HIV-HCV co-infected individuals living in Greece and investigated factors associated with different HCV-CoC stages. We analyzed data from 1213 participants from the Athens Multicenter AIDS Cohort Study. A seven-stage CoC, overall and by subgroup (people who inject drugs (PWID), men having sex with men (MSM), men having sex with women (MSW), and migrants], was constructed, spanning from HCV diagnosis to sustained virologic response (SVR). Logistic/Cox regression models were employed to identify factors associated with passing through each CoC step. Among 1213 anti-HCV-positive individuals, 9.2% died before direct-acting antiviral (DAA) availability. PWID exhibited higher mortality rates than MSM. Of 1101 survivors, 72.2% remained in care and underwent HCV-RNA testing. Migrants and PWID showed the lowest retention rates. HCV-RNA was available for 79.2% of those in care, with 77.8% diagnosed with chronic HCV. Subsequently, 71% initiated DAAs, with individuals with very low CD4 counts (<100 cells/μL) exhibiting lower odds of DAA initiation. SVR testing was available for 203 individuals, with 85.7% achieving SVR. The SVR rates did not differ across risk groups. In 2023, significant gaps and between-group differences persisted in HCV-CoC among HIV-HCV co-infected individuals in Greece.