bluuebunny/crossref_metadata_2025 huggingface dataset:
Root Cause Tracing Using Equipment Process Accuracy Evaluation for Looper in Hot Rolling
Authors: Jing Fengwei , Li Fenghe , Song Yong , Li Jie , Feng Zhanbiao , Guo  Jin
Published: February 2024

The concept of production stability in hot strip rolling encapsulates the ability of a production line to consistently maintain its output levels and uphold the quality of its products, thus embodying the steady and uninterrupted nature of the production yield. This scholarly paper focuses on the paramount looper equipment in the finishing rolling area, utilizing it as a case study to investigate approaches for identifying the origins of instabilities, specifically when faced with inadequate looper performance. Initially, the paper establishes the equipment process accuracy evaluation (EPAE) model for the looper, grounded in the precision of the looper’s operational process, to accurately depict the looper’s functioning state. Subsequently, it delves into the interplay between the EPAE metrics and overall production stability, advocating for the use of EPAE scores as direct indicators of production stability. The study further introduces a novel algorithm designed to trace the root causes of issues, categorizing them into material, equipment, and control factors, thereby facilitating on-site fault rectification. Finally, the practicality and effectiveness of this methodology are substantiated through its application on the 2250 hot rolling equipment production line. This paper provides a new approach for fault tracing in the hot rolling process.
Reduced-Order Model Approaches for Predicting Airfoil Performance
Authors: Colanera Antonio , Di Costanzo Eduardo , Chiatto Matteo , de Luca Luigi
Published: February 2024

This study delves into the construction of reduced-order models (ROMs) of a flow field over a NACA 0012 airfoil at a moderate Reynolds number and an angle of attack of 8∘. Numerical simulations were computed through the finite-volume solver OpenFOAM. The analysis considers two different reduction techniques: the standard Galerkin projection method, which involves projecting the governing equations onto proper orthogonal decomposition modes (POD−ROMs), and the cluster-based network model (CNM), a fully data-driven nonlinear approach. An analysis of the topology of the dominant POD modes was conducted, uncovering a traveling wave pattern in the wake dynamics. We compared the performances of both ROM techniques regarding their prediction of flow field behavior and integral quantities. The ROM framework facilitates the practical actuation of control strategies with significantly reduced computational demands compared to the full-order approach.
Effect of Impellers on the Cooling Performance of a Radial Pre-Swirl System in Gas Turbine Engines
Authors: Shen Wenjie , Wang Suofang , Liang Xiaodi
Published: February 2024

Impellers are utilized to increase pressure to ensure that a radial pre-swirl system can provide sufficient cooling airflow to the turbine blades. In the open literature, the pressurization mechanism of the impellers was investigated. However, the effect of impellers on the cooling performance of the radial pre-swirl system was not clear. To solve the aforementioned problem, tests were carried out to assess the temperature drop in a radial pre-swirl system with various impeller configurations (impeller lengths l/b ranging from 0 to 0.333). Furthermore, numerical simulations were used to investigate the flow and heat transfer characteristics of the radial pre-swirl system at high rotating Reynolds numbers. Theoretical and experimental investigations revealed that the pre-swirl jet and output power generate a significant temperature drop, but the impellers have no obvious effect on the system temperature drop. By increasing the swirl ratio, the impellers reduce the field synergy angle and thus improve convective heat transfer on the turbine disk. In addition, increasing the impeller length can reduce the volume-averaged field synergy angle and improve heat transfer, but the improvement effectiveness decreases as the impeller length increases. Thus, the study concluded that impellers could improve the cooling performance of the radial pre-swirl system by enhancing disk cooling.
Social Capital, Trust, and Cultivation of Bioenergy Crops: Evidence from Germany and Greece
Authors: Petropoulou Eugenia A. , Petousi Vasiliki
Published: February 2024

In the move towards bioeconomy, little is known about the contribution of factors such as social capital and trust in farmers’ motivation for adopting innovative practices like the cultivation of drought-tolerant bioenergy crops. Based on the broad notion of social capital, this research investigates the level of trust in institutions, cooperation, and the cultural value of farming in Greece and in Germany. Focus group discussions and interviews with farmers show similar levels of trust in institutions in both countries. Trust in cooperation positively related to community social cohesion in Germany, in contrast to the predominant mistrust of formal and informal forms of cooperation in Greece. In Germany, the cultural value of farming, urban “demands” impeding traditional small-scale farming, and their primary role in producing and guarding the rural environment tend to hinder the adoption of bioenergy crop cultivations. In Greece, the marginalization of farming results in an uncertain/ambiguous farming self-concept and, in turn, to an easier adoption of innovations such as the cultivation of bioenergy crops. All three dimensions are pivotal in agriculture, rural development, and energy transition, as they affect how people relate to institutions and to each other and organize and perceive themselves in the current representations of rurality.
Research on Individual Tree Canopy Segmentation of Camellia oleifera Based on a UAV-LiDAR System
Authors: Wang Liwan , Zhang Ruirui , Zhang Linhuan , Yi Tongchuan , Zhang Danzhu , Zhu Aobin
Published: February 2024

In consideration of the limited accuracy of individual tree canopy segmentation algorithms due to the diverse canopy structure and complex environments in mountainous and hilly areas, this study optimized the segmentation parameters of three algorithms for individual tree canopy segmentation of Camellia oleifera in such environments by analyzing their respective parameters. Utilizing an Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-LiDAR) system, we obtained Canopy Height Models (CHM) of Camellia oleifera canopies based on Digital Elevation Models (DEM) and Digital Surface Models (DSM). Subsequently, we investigated the effects of CHM segmentation, point cloud clustering segmentation, and layer stacking fitting segmentation on Camellia oleifera canopies across different research areas. Additionally, combining ground survey data from forest lands with visual interpretation of UAV orthophoto images, we evaluated the performance of these three segmentation algorithms in terms of the F-score as an evaluation indicator for individual tree canopy segmentation accuracy. Combined with the Cloth Simulation Filter (CSF) filtering algorithm after removing the ground point cloud, our findings indicate that among different camellia densities and terrain environments, the point cloud clustering segmentation algorithm achieved the highest segmentation accuracy at 93%, followed by CHM segmentation at 88% and the layer stacking fitting segmentation method at 84%. By analyzing the data from UAV-LiDAR technology involving various land and Camellia oleifera planting types, we verified the applicability of these three segmentation algorithms for extracting camellia canopies. In conclusion, this study holds significant importance for accurately delineating camellia canopies within mountainous hilly environments while providing valuable insights for further research in related fields.
Redox Homeostasis and Antioxidant Strategies in the Pathophysiology
Authors: Remigante Alessia , Cordaro Marika , Morabito Rossana
Published: February 2024

The molecular mechanisms underlying oxidative stress, and pathophysiological consequences in cell and tissue function, are frequently described as the imbalance between the production of reactive species and the ability to defend through sophisticated antioxidant machinery (Contributions 1–3) [...]
Intrauterine Growth Restriction Affects Colonic Barrier Function via Regulating the Nrf2/Keap1 and TLR4-NF-κB/ERK Pathways and Altering Colonic Microbiome and Metabolome Homeostasis in Growing–Finishing Pigs
Authors: Xiong Liang , Azad Md. Abul Kalam , Liu Yang , Zhang Wanghong , Zhu Qian , Hu Chengjun , You Jinming , Kong Xiangfeng
Published: February 2024

Intrauterine growth restriction (IUGR) pigs are characterized by long-term growth failure, metabolic disorders, and intestinal microbiota imbalance. The characteristics of the negative effects of IUGR at different growth stages of pigs are still unclear. Therefore, this study explored through multi-omics analyses whether the IUGR damages the intestinal barrier function and alters the colonization and metabolic profiles of the colonic microbiota in growing-finishing pigs. Seventy-two piglets (36 IUGR and 36 NBW) were allocated for this trial to analyze physiological and plasma biochemical parameters, as well as oxidative damage and inflammatory response in the colon. Moreover, the colonic microbiota communities and metabolome were examined using 16s rRNA sequencing and metabolomics technologies to reveal the intestinal characteristics of IUGR pigs at different growth stages (25, 50, and 100 kg). IUGR altered the concentrations of plasma glucose, total protein, triglycerides, and cholesterol. Colonic tight junction proteins were markedly inhibited by IUGR. IUGR decreased plasma T-AOC, SOD, and GSH levels and colonic SOD-1, SOD-2, and GPX-4 expressions by restraining the Nrf2/Keap1 signaling pathway. Moreover, IUGR increased colonic IL-1β and TNF-α levels while reducing IL-10, possibly through activating the TLR4-NF-κB/ERK pathway. Notably, IUGR pigs had lower colonic Streptococcus abundance and Firmicutes-to-Bacteroidetes ratio at the 25 kg BW stage while having higher Firmicutes abundance at the 100 kg BW stage; moreover, IUGR pigs had lower SCFA concentrations. Metabolomics analysis showed that IUGR increased colonic lipids and lipid-like molecules, organic acids and derivatives, and organoheterocyclic compounds concentrations and enriched three differential metabolic pathways, including linoleic acid, sphingolipid, and purine metabolisms throughout the trial. Collectively, IUGR altered the nutrient metabolism, redox status, and colonic microbiota community and metabolite profiles of pigs and continued to disrupt colonic barrier function by reducing antioxidant capacity via the Nrf2/Keap1 pathway and activating inflammation via the TLR4-NF-κB/ERK pathway during the growing-finishing stage. Moreover, colonic Firmicutes and Streptococcus could be potential regulatory targets for modulating the metabolism and health of IUGR pigs.
Cross-Oxygen Gradients Transcriptomic Comparison Revealed the Central Role of MAPK and Hippo in Hypoxia-Mediated Mammary Proliferation Inhibition
Authors: Hu Zhenzhen , Lu Yi , Cai Jie , Liu Jianxin , Wang Diming
Published: February 2024

The role of hypoxia in terms of affecting mammary epithelial cells (MECs) proliferation is closely associated with the milk synthesis of lactating mammals. Primary bovine MECs were cultured at 1, 6, 11, 16, and 21% O2 for 24 h. The results showed that cell proliferation decreased linearly, and hypoxic inducible factor (HIF)-1α expression increased linearly along with the declining O2. The linear increase in oxidative stress resulted in the accumulation of malondialdehyde and reactive oxygen species and decreased antioxidant enzyme activities following the reduced O2. Concerning mitochondria, the dynamin-related protein 1 showed improved expression, and optin atrophy protein 1 decreased along with the decreasing O2 gradient, which led to decreased mitochondrial mass and mitophagy emerging under 1% O2. Oxygen concentration-trend RNA-seq analysis was conducted. Specifically, HIF-1-MAPK (1% O2), PI3K-Akt-MAPK (6% O2), and p53-Hippo (11 and 16% O2) were found to primarily regulate cell proliferation in response to hypoxia compared with normoxia (21%), respectively. In conclusion, our study suggests that bMEC proliferation is suppressed in low-oxygen conditions, and is exacerbated following the reduced oxygen supply. The cross-oxygen gradient comparisons suggest that MAPK and Hippo, which are core pathways of mammary cell proliferation, are repressed by hypoxia via oxidative-stress-dependent signals.
Research on the Failure Mechanism of Surrounding Rock in a Dynamic Pressure Roadway and Active and Passive Coordinated Support Technology
Authors: Shan Renliang , Wei Yonghui , Wang Chunhe , Li Zhaolong , Li Yongzhen , Liu Dong , Zhao Xinpeng
Published: February 2024

To study the phenomenon of large deformation and the failure of roadways under dynamic pressure, this paper takes the 10607 gas drainage roadway as the research object and presents the results of a theoretical derivation of equations for the boundary of the plastic zone of a dynamic pressure roadway with and without supporting force. The impacts of the mining influence coefficient and supporting force on the plastic zone boundary were explored for various lateral pressure coefficients. As the supporting force was increased, it was observed that there was a slight reduction in the radius of the plastic zone of the dynamic pressure roadway, while its scope and shape barely changed. Based on the failure mechanism of the dynamic pressure roadway, active and passive support technology was proposed, and the support effect was analyzed using FLAC3D 5.0 numerical simulation software for the case of the 10607 gas drainage roadway.
Microorganisms Isolated from Saharan Dust Intrusions in the Canary Islands and Processes of Mineral Atmospherogenesis
Authors: Navarro Azahara , del Moral Ana , de Pablos Irene , Delgado Rafael , Párraga Jesús , Martín-García Juan M. , Martínez-Checa Fernando
Published: February 2024

Global warming due to climate change has increased the frequency of sand and dust storms that affect air quality and ecosystems in general, contributing to air pollution. The Sahara Desert is the most potent emitter of atmospheric dust. The atmosphere is an extreme environment and microorganisms living in the troposphere are exposed to greater ultraviolet radiation, desiccation, low temperatures and nutrient deprivation than in other habitats. The Iberian Peninsula, and specifically the Canary Islands—due to its strategic location—is one of the regions that receive more Saharan dust particles annually, increasing year after year, although culturable microorganisms had previously never been described. In the present work, dust samples were collected from three calima events in the Canary Islands between 2021 and 2022. The sizes, mineralogical compositions and chemical compositions of dust particles were determined by laser diffraction, X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS), respectively. Particle morphology and biological features were also studied by scanning electron microscopy (SEM-EDX) and confocal laser scanning microscopy (CLSM). The mineral–bacteria interactions were described from microscopic observations, which revealed the presence of iberulites and small neoformed kaolinite crystals in association with bacteria. This article defines the term “mineral atmospherogenesis” and its variant, “mineral bioatmospherogenesis”, through microbial interaction. This is the first described case of kaolinite produced through mineral bioatmospherogenesis. The bacterial growth in atmospheric dust was illustrated in SEM images, constituting a novel finding. Twenty-three culturable microorganisms were isolated and identified by 16S rRNA sequencing. Members of the phyla Pseudomonadota, Bacillota and Actinomycetota have been found. Some of these microorganisms, such as Peribacillus frigoritolerans, have Plant Growth-Promoting Rhizobacteria (PGPR) properties. Potential human pathogenic bacteria such as Acinetobacter lwoffii were also found. The presence of desert dust and iberulites in the Canary Islands, together with transported biological components such as bacteria, could have a significant impact on the ecosystem and human health.
The Role of Surveillance Imaging in Patients with Advanced Laryngeal Cancer
Authors: Yosefof Eyal , Tzelnick Sharon , Nachalon Yuval , Alkan Uri , Amir Ido , Tunik Michal , Shoffel-Havakuk Hagit , Kurman Noga , Hilly Ohad , Mizrachi Aviram , Hamzany Yaniv
Published: February 2024

Background: While almost one-third of patients treated for laryngeal cancer will experience disease recurrence, the current National Comprehensive Cancer Network guidelines do not recommend routine post-treatment imaging follow-up. We aimed to examine the yield of post-treatment imaging surveillance among patients with primary advanced laryngeal cancer. Methods: Patients treated for advanced-stage laryngeal carcinoma between 2000 and 2020 in a tertiary care medical center were retrospectively reviewed. Data collected included demographics, clinical and pathological features, treatment modalities, tumor recurrence data including the diagnostic modality (patient’s symptoms, physical examination, or imaging), and outcome. Results: The cohort included 123 patients with advanced-stage laryngeal cancer. Thirty-five (28.7%) patients experienced disease recurrence with fourteen recurrences (40%) diagnosed by imaging. Patients diagnosed by imaging had a shorter time to recurrence diagnosis (23.8 vs. 45.9 months, p-value = 0.016), with similar 5-year overall and disease-specific survival (20.6% vs. 26.6%, log-rank p-value = 0.53 and 62.1% vs. 59.7%, log-rank p-value = 0.87, respectively). Conclusions: Performance of routine post-treatment imaging follow-up in patients with advanced laryngeal cancer was associated with a shorter time to diagnosis of recurrence and similar survival rates. Imaging follow-up should be considered in cases where clinical follow-up is limited and according to the judgment of the treating physician.
Calculation Model of Drainage Radius of Single-Layer/Multi-Layer Commingled Gas Production Wells in a Closed Constant-Volume Gas Reservoir and Its Application
Authors: Xin Cuiping , Zhou Wei , Zhang Lei , Qiao Xiangyang , Wang Yongke , Xiao Yue
Published: February 2024

Gas drainage radius is the most important parameter for determining reasonable well spacing. However, the drainage radius of both single-layer and multi-layer commingled gas production wells cannot be directly obtained through reservoir well tests. In order to address the above challenge, for single-layer gas production wells in a closed constant-volume gas reservoir, a calculation model for drainage radius is derived using the modified flowing material balance method. The results indicate that the calculated error of this model is only 0.73% and much smaller than that of the flowing material balance method (5.78%), implying its high accuracy. For multi-layer commingled gas production wells, another calculation model of drainage radius is established by coupling the pseudo-steady-state production capacity equation with the material balance principle. The research results demonstrate that the novel calculation model has a maximum relative error of only 2.33% and requires only two production profile tests to rapidly calculate the drainage radius of each layer within the gas reservoir, suggesting its satisfactory simplicity, significant efficiency and high precision. The proposed calculation models of drainage radius achieve a convenient and rapid calculation for both single-layer and multi-layer commingled gas production wells, and fill the theoretical gap in efficient calculation of drainage radius for a closed constant-volume gas reservoir.
The Efficacy of Floating Electrode-Dielectric Barrier Discharge Plasma against Staphylococcus aureus and Salmonella Typhimurium on Fried Fish Paste
Authors: Kim So Hee , Roy Pantu Kumar , Jeon Eun Bi , Park Shin Young
Published: February 2024

In this study, we evaluated the antibacterial effect of floating electrode–dielectric barrier discharge (FE-DBD) plasma (1.1 kV, 43 kHz, N2 1.5 m/s, 1–60 min) against Staphylococcus aureus and Salmonella Typhimurium in fried fish paste. In addition, a quality evaluation (pH, VBN) of fried fish paste was conducted after the FE-DBD plasma treatment. When FE-DBD plasma was used for treatment for 1, 5, 10, 20, 30, and 60 min, S. aureus decreased by 0.16–1.13 log10 CFU/g, and S. Typhimurium decreased by 0.25–1.13 log10 CFU/g. Both decreased > log10 CFU/g at 60 min. The D-value was 58.92, and R2 was 0.97 for S. aureus using first-order kinetics, and the D-value was 43.60, and R2 was 0.97 for S. Typhimurium using the Weibull model. There was no significant difference in pH after the FE-DBD plasma treatment (p > 0.05). Additionally, volatile basic nitrogen (VBN) significantly decreased as the treatment time increased (p < 0.05), and it was the lowest 3.46 at 60 min. Therefore, this FE-DBD plasma treatment could be considered a technology for preserving the quality of processed foods.
Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity
Authors: Uddin Raihan , Koo Insoo
Published: February 2024

This comprehensive review paper explores the intricate integration of biosensors with multi-hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through real-time remote patient monitoring. The strategic deployment of biosensors in different locations in medical facilities, intricately connected to multiple microcontrollers, serves as a cornerstone in the establishment of robust multi-hop IoT networks. This paper highlights the role of this multi-hop IoT network, which efficiently facilitates the seamless transmission of vital health data to a centralized server. Crucially, the utilization of cloud connectivity emerges as a linchpin in this integration, providing a secure and scalable platform for remote patient monitoring. This cloud-based approach not only improves the accessibility of critical health information but also transcends physical limitations, allowing healthcare providers to monitor patients in real-time from any location. This paper highlights the transformative potential of this integration in overcoming traditional healthcare limitations through real-time remote patient monitoring.
Displacement Monitoring of Subway Tracks and Tunnels According to Adjacent Construction
Authors: Choi Jung-Youl , Ahn Dae-Hui
Published: February 2024

In the Republic of Korea, large-scale deep excavation construction is being conducted adjacent to structures owing to overpopulation in urban areas. Securing the safety of earth-retaining and underground structures is crucial for adjacent excavation work in urban areas. Accordingly, an automated measurement system is used to monitor the behaviors of subway tunnels and track structures; however, the utilization of its results is extremely low. Existing techniques evaluate the safety of track and tunnel structures based on the measured maximum values. This study introduces an evaluation technique for improving behavior monitoring in subway tunnels and track structures. A substantial amount of long-term measurement data on subway tunnels and track deformation was quantitatively evaluated using the Gaussian probability density function. In addition, the results from the same location where the tunnel convergence meter (TL) and track bed settlement (RM) sensors were located were compared. The comparison results revealed a difference in the vertical displacement of the tunnel and track structure owing to adjacent excavation work. A technique to analyze the continuous behavior of the tunnel was presented by numerically analyzing the tunnel measurement results as input data. In addition, they emphasized the need for simultaneous monitoring of tracks and tunnels.
Phytochemical Analysis and Amoebicidal Evaluation of Different Agave Species
Authors: Rodríguez-Zapata Ana Laura , Mora-Frias Jorge Ivan , Briano-Elias Miguel Angel , Pérez-Centeno Armando , Barrientos-Ramírez Lucia , Reynoso-Orozco Ramón , Nava-Villalba Mario , Castillo-Romero Araceli
Published: February 2024

Amoebiasis, a disease caused by the protozoan Entamoeba histolytica, represents a serious public health problem, mainly in developing countries. The first line of therapy for amoebiasis treatment is metronidazole (MTZ); however, clinical isolates of E. histolytica with resistance to MTZ and varying sensitivity to other antiamoebic drugs threaten the effectiveness of the prevention and treatment of this parasitic infection. Natural products stand out as a promising strategy to develop new, safe and more effective alternatives. In this study, we determined and compared the phytochemical profiles of Agave tequilana, Agave angustifolia, Agave rhodacantha, and Agave maximiliana and described their cytotoxic effect on E. histolytica trophozoites. The results show that the four Agaves kill E. histolytica in a species–time–dose-dependent manner. A morphologic analysis of the treated parasites showed evident morphological alterations suggestive of programmed cell death with nuclear alterations; it also highlighted the presence of rounded cells with protuberances/perforations in the membrane and cells that appeared to have exploded. The overall activity of Agave ethanolic extracts in E. histolytica can help provide new strategies to advance alternative treatments against amoebiasis.
Control and Position Tracking for UAVs
Authors: Kownacki Cezary
Published: February 2024

There has been exponential development of UAV technology and related research areas such as artificial intelligence, which will raise UAVs’ ability for autonomous flights to a higher level [...]
Country-Based COVID-19 DNA Sequence Classification in Relation with International Travel Policy
Authors: Khatizah Elis , Park Hyun-Seok
Published: February 2024

As viruses evolve rapidly, variations in their DNA may arise due to environmental factors. This study examines the classification of COVID-19 DNA sequences based on their country of origin and analyzes their primary correlation with the country’s international travel policy. Focusing on DNA sequences from nine ASEAN countries, we conducted a two-class classification to distinguish sequences from individual countries and mixed sequences from others. The sequences were initially dissected into 200 base pair units, and a deep-learning method was employed to construct a model. Our results showcase the capacity to differentiate DNA sequences with varying accuracy for each country. Additionally, the index of international travel policy, which reflects how countries implemented varying levels of restrictions regarding inbound travel, several months before the sequence collection date, moderately correlated with the classification accuracy within each country. This finding suggests a preliminary insight that a country’s pandemic management might influence the variation in the DNA virus, determining whether these sequences will evolve distinctly from those of other countries or exhibit similarities.
Effects of Anaerobic Digestates and Biochar Amendments on Soil Health, Greenhouse Gas Emissions, and Microbial Communities: A Mesocosm Study
Authors: Pastorelli Roberta , Casagli Alessandro , Rocchi Filippo , Tampio Elina , Laaksonen Ilmari , Becagli Claudia , Lagomarsino Alessandra
Published: February 2024

This study addresses the need for a comprehensive understanding of digestate and biochar in mitigating climate change and improving soil health, crucial for sustainable agriculture within the circular bioeconomy framework. Through a mesocosm experiment, soil was amended with digestates from pilot-scale reactors and two concentrations of biochar produced by pyrolysis of digested sewage sludge and waste wood. The Germination Index (GI) assay assessed phytotoxicity on Lactuca sativa and Triticum aestivum seeds. Greenhouse gas emissions (CO2, CH4, N2O) measurements, soil characteristics analyses, and the study of microbial community structure enriched the study’s depth. The GI assay revealed diverse responses among by-products, dilution rates, and plant types, highlighting the potential phyto-stimulatory effects of digestate and biochar water-extracts. While digestate proved to be effective as fertilizer, concerns arose regarding microbial contamination. Biochar application reduced Clostridiaceae presence in soil but unexpectedly increased N2O emissions at higher concentrations, emphasizing the need for further research on biochar’s role in mitigating microbial impacts. CO2 emissions increased with digestate application but decreased with a 10% biochar concentration, aligning with control levels. CH4 uptake decreased with digestate and high biochar concentrations. The study underscores the importance of tailored approaches considering biochar composition and dosage to optimize soil greenhouse gas fluxes and microbial communities.
Multi-Objective Multi-Skill Resource-Constrained Project Scheduling Considering Flexible Resource Profiles
Authors: Luo Xu , Guo Shunsheng , Du Baigang , Luo Xinhao , Guo Jun
Published: February 2024

This paper addresses a novel multi-skill resource-constrained project scheduling problem with flexible resource profiles (F-MSRCPSP), in which the resource allocation of each activity consists of a certain number of discrete resources and is allowed to be adjusted over its duration. The F-MSRCPSP aims, therefore, to determine the flexible resource profile of each activity to minimize the make-span and total cost simultaneously. Then, a hybrid multi-objective fruit fly optimization algorithm is proposed to handle the concerned problem. In the proposed algorithm, two flexible parallel and serial schedule generation schemes are introduced, aiming to schedule activities and adjust allocated resource combinations. Additionally, two heuristic strategies are proposed to effectively select suitable resource combinations for activities. Moreover, a series of operators has been developed, including the rejoining operator, empirical re-arrangement operator, and empirical re-selection operator. These operators aim to accelerate the convergence speed and enhance the exploration of the proposed algorithm. Finally, the orthogonal test is used to select the optimal parameter combination, and comparative experiments based on tests with different scales are conducted, along with a t-test. The experimental results demonstrate that MOFOA-HS is effective in solving the F-MSRCPSP.
Analysis of a Delayed Multiscale AIDS/HIV-1 Model Coupling Between-Host and Within-Host Dynamics
Authors: Wang Miao , Wang Yaping , Hu Lin , Nie Linfei
Published: February 2024

Taking into account the effects of the immune response and delay, and complexity on HIV-1 transmission, a multiscale AIDS/HIV-1 model is formulated in this paper. The multiscale model is described by a within-host fast time model with intracellular delay and immune delay, and a between-host slow time model with latency delay. The dynamics of the fast time model is analyzed, and includes the stability of equilibria and properties of Hopf bifurcation. Further, for the coupled slow time model without an immune response, the basic reproduction number R0h is defined, which determines whether the model may have zero, one, or two positive equilibria under different conditions. This implies that the slow time model demonstrates more complex dynamic behaviors, including saddle-node bifurcation, backward bifurcation, and Hopf bifurcation. For the other case, that is, the coupled slow time model with an immune response, the threshold dynamics, based on the basic reproduction number R˜0h, is rigorously investigated. More specifically, if R˜0h<1, the disease-free equilibrium is globally asymptotically stable; if R˜0h>1, the model exhibits a unique endemic equilibrium that is globally asymptotically stable. With regard to the coupled slow time model with an immune response and stable periodic solution, the basic reproduction number R0 is derived, which serves as a threshold value determining whether the disease will die out or lead to periodic oscillations in its prevalence. The research results suggest that the disease is more easily controlled when hosts have an extensive immune response and the time required for new immune particles to emerge in response to antigenic stimulation is within a certain range. Finally, numerical simulations are presented to validate the main results and provide some recommendations for controlling the spread of HIV-1.
Continuous Multi-Utility Representations of Preorders and the Chipman Approach
Authors: Bosi Gianni , Daris Roberto , Zuanon Magalì
Published: February 2024

Chipman contended, in stark contrast to the conventional view, that, utility is not a real number but a vector, and that it is inherently lexicographic in nature. On the other hand, in recent years continuous multi-utility representations of a preorder on a topological space, which proved to be the best kind of continuous representation, have been deeply studied. In this paper, we first state a general result, which guarantees, for every preordered topological space, the existence of a lexicographic order-embedding of the Chipman type. Then, we combine the Chipman approach and the continuous multi-utility approach, by stating a theorem that guarantees, under certain general conditions, the coexistence of these two kinds of continuous representations.
Feature Extraction Based on Local Histogram with Unequal Bins and a Recurrent Neural Network for the Diagnosis of Kidney Diseases from CT Images
Authors: Gharahbagh Abdorreza Alavi , Hajihashemi Vahid , Machado José J. M. , Tavares João Manuel R. S.
Published: February 2024

Kidney disease remains one of the most common ailments worldwide, with cancer being one of its most common forms. Early diagnosis can significantly increase the good prognosis for the patient. The development of an artificial intelligence-based system to assist in kidney cancer diagnosis is crucial because kidney illness is a global health concern, and there are limited nephrologists qualified to evaluate kidney cancer. Diagnosing and categorising different forms of renal failure presents the biggest treatment hurdle for kidney cancer. Thus, this article presents a novel method for detecting and classifying kidney cancer subgroups in Computed Tomography (CT) images based on an asymmetric local statistical pixel distribution. In the first step, the input image is non-overlapping windowed, and a statistical distribution of its pixels in each cancer type is built. Then, the method builds the asymmetric statistical distribution of the image’s gradient pixels. Finally, the cancer type is identified by applying the two built statistical distributions to a Deep Neural Network (DNN). The proposed method was evaluated using a dataset collected and authorised by the Dhaka Central International Medical Hospital in Bangladesh, which includes 12,446 CT images of the whole abdomen and urogram, acquired with and without contrast. Based on the results, it is possible to confirm that the proposed method outperformed state-of-the-art methods in terms of the usual correctness criteria. The accuracy of the proposed method for all kidney cancer subtypes presented in the dataset was 99.89%, which is promising.
Cry Toxins Use Multiple ATP-Binding Cassette Transporter Subfamily C Members as Low-Efficiency Receptors in Bombyx mori
Authors: Adegawa Satomi , Wang Yonghao , Waizumi Ryusei , Iizuka Tetsuya , Takasu Yoko , Watanabe Kenji , Sato Ryoichi
Published: February 2024

Recent studies have suggested that ABC transporters are the main receptors of Cry toxins. However, the receptors of many Cry toxins have not been identified. In this study, we used a heterologous cell expression system to identify Bombyx mori ABC transporter subfamily C members (BmABCCs) that function as receptors for five Cry toxins active in Lepidopteran insects: Cry1Aa, Cry1Ca, Cry1Da, Cry8Ca, and Cry9Aa. All five Cry toxins can use multiple ABCCs as low-efficiency receptors, which induce cytotoxicity only at high concentrations. Surface plasmon resonance analysis revealed that the KD values between the toxins and BmABCC1 and BmABCC4 were 10−5 to 10−9 M, suggesting binding affinities 8- to 10,000-fold lower than those between Cry1Aa and BmABCC2, which are susceptibility-determining receptors for Cry1Aa. Bioassays in BmABCC-knockout silkworm strains showed that these low-efficiency receptors are not involved in sensitivity to Cry toxins. The findings suggest that each family of Cry toxins uses multiple BmABCCs as low-efficiency receptors in the insect midgut based on the promiscuous binding of their receptor-binding regions. Each Cry toxin seems to have evolved to utilize one or several ABC transporters as susceptibility-determining receptors.
Extracellular Vesicles as Delivery Vehicles for Non-Coding RNAs: Potential Biomarkers for Chronic Liver Diseases
Authors: Ferro Arianna , Saccu Gabriele , Mattivi Simone , Gaido Andrea , Herrera Sanchez Maria Beatriz , Haque Shafiul , Silengo Lorenzo , Altruda Fiorella , Durazzo Marilena , Fagoonee Sharmila
Published: February 2024

In recent years, EVs have emerged as promising vehicles for coding and non-coding RNAs (ncRNAs), which have demonstrated remarkable potential as biomarkers for various diseases, including chronic liver diseases (CLDs). EVs are small, membrane-bound particles released by cells, carrying an arsenal of ncRNAs, including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and other ncRNA species, such as piRNAs, circRNAs, and tsRNAs. These ncRNAs act as key regulators of gene expression, splicing, and translation, providing a comprehensive molecular snapshot of the cells of origin. The non-invasive nature of EV sampling, typically via blood or serum collection, makes them highly attractive candidates for clinical biomarker applications. Moreover, EV-encapsulated ncRNAs offer unique advantages over traditional cell-free ncRNAs due to their enhanced stability within the EVs, hence allowing for their detection in circulation for extended periods and enabling more sensitive and reliable biomarker measurements. Numerous studies have investigated the potential of EV-enclosed ncRNAs as biomarkers for CLD. MiRNAs, in particular, have gained significant attention due to their ability to rapidly respond to changes in cellular stress and inflammation, hallmarks of CLD pathogenesis. Elevated levels of specific miRNAs have been consistently associated with various CLD subtypes, including metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction-associated steatohepatitis (MASH), and chronic hepatitis B and C. LncRNAs have also emerged as promising biomarkers for CLD. These transcripts are involved in a wide range of cellular processes, including liver regeneration, fibrosis, and cancer progression. Studies have shown that lncRNA expression profiles can distinguish between different CLD subtypes, providing valuable insights into disease progression and therapeutic response. Promising EV-enclosed ncRNA biomarkers for CLD included miR-122 (elevated levels of miR-122 are associated with MASLD progression and liver fibrosis), miR-21 (increased expression of miR-21 is linked to liver inflammation and fibrosis in CLD patients), miR-192 (elevated levels of miR-192 are associated with more advanced stages of CLD, including cirrhosis and HCC), LncRNA HOTAIR (increased HOTAIR expression is associated with MASLD progression and MASH development), and LncRNA H19 (dysregulation of H19 expression is linked to liver fibrosis and HCC progression). In the present review, we focus on the EV-enclosed ncRNAs as promising tools for the diagnosis and monitoring of CLD of various etiologies.
Daratumumab and Nelarabine Treatment as Salvage Therapy for T-Lymphoblastic Lymphoma: A Case Report
Authors: Castellanos Gonzalo , Pardo Laura , López Alberto , Cornago Javier , López Jose Luis , de las Heras Alicia , Díaz Francisco J. , Martínez de Bourio Marta , Castillo Eva , Llamas Pilar , Solán Laura
Published: February 2024

T-cell lymphoblastic lymphoma is an uncommon lymphoid neoplasm in adults, although more frequent in children and teenagers, that often affects the mediastinum and bone marrow, requiring intensive chemotherapy protocols. Its prognosis is poor if a cure is not achieved with first-line treatments. We present a case report of a 19-year-old man diagnosed with this type of lymphoma due to significant respiratory distress and a mediastinal mass. He received treatment according to the hyper-CVAD regimen, with a complete metabolic response. However, seven months later a new mediastinal growth was observed, leading to salvage treatment with a combination of nelarabine and daratumumab. We observed not only refractoriness, but also leukemization, which prompted consideration of hematopoietic stem cell transplantation. Based on this case, we conducted a review of pharmacological treatment options for refractory or relapsed lymphoblastic lymphoma, as well as the role of radiotherapy in managing mediastinal disease. This case report highlights the limited evidence available regarding later-line treatments, with unusual reports regarding employing our combination of daratumumab and nelarabine, and emphasizes the importance of achieving cures in the first line of treatment.
Analysis of Clinical and Genetic Factors of Obesity and Psoriasis Concomitance—The Influence of Body Mass Composition, Prevalence of Mood Disorders, Environmental Factors and FTO Gene Polymorphisms (rs9939609, rs1558902)
Authors: Czarnecka Anna , Purzycka-Bohdan Dorota , Zabłotna Monika , Nowicki Roman J. , Rębała Krzysztof , Bohdan Michał , Gruchała Marcin , Wilkowska Alina , Szczerkowska-Dobosz Aneta
Published: February 2024

This study aimed to comprehensively analyze the problem of overweight and obesity among psoriatic patients by investigating the influence of body mass composition, anhedonia and depression, environmental factors and FTO gene polymorphisms. Methods: The study enrolled 30 overweight or obese adult patients with chronic plaque psoriasis and 30 overweight or obese volunteers (northern Poland region, Caucasian population). Mood disorders, body mass composition by using bioelectrical impedance analysis (BIA) and FTO gene polymorphisms (rs9939609, rs1558902) by tetra-primer amplification refractory mutation system PCR (T-ARMS-PCR) were assessed. Results: Results revealed significantly higher visceral adipose tissue levels in psoriatic patients (5.23 ± 2.29 [L] vs. 3.41 ± 1.86 [L]), p = 0.001), especially among men, along with elevated rates of moderate and severe depression (26.67% vs. 6.67% and 13.33% vs. 3.33%, p = 0.048 respectively). Additionally, FTO gene polymorphisms correlated with waist–hip ratio differences in both groups. Conclusions: The study highlights the importance of evaluating body composition beyond body mass index, recognizing its influence on psoriasis and associated conditions like depression. The FTO gene may serve as a potential genetic link between psoriasis and obesity, warranting further research for validation. Adiposity emerges as a key and modifiable risk factor, underscoring the clinical implications of body composition complexities in psoriasis management.
Analysis of Primary Chronic Lymphocytic Leukemia Cells’ Signaling Pathways
Authors: Skelin Josipa , Matulić Maja , Milković Lidija , Heckel Darko , Skoko Jelena , Škreb Kristina Ana , Jelić Puškarić Biljana , Kardum-Skelin Ika , Čičin-Šain Lipa , Radić-Krišto Delfa , Antica Mariastefania
Published: February 2024

Chronic lymphocytic leukemia (CLL) is a lymphoproliferative disorder characterized by a specific expansion of mature B-cell clones. We hypothesized that the disease has a heterogeneous clinical outcome that depends on the genes and signaling pathways active in the malignant clone of the individual patient. It was found that several signaling pathways are active in CLL, namely, NOTCH1, the Ikaros family genes, BCL2, and NF-κB, all of which contribute to cell survival and the proliferation of the leukemic clone. Therefore, we analyzed primary CLL cells for the gene and protein expression of NOTCH1, DELTEX1, HES1, and AIOLOS in both peripheral blood lymphocytes (PBLs) and the bone marrow (BM) of patients, as well as the expression of BCL2 and miRNAs to see if they correlate with any of these genes. BCL2 and AIOLOS were highly expressed in all CLL samples as previously described, but we show here for the first time that AIOLOS expression was higher in the PBLs than in the BM. On the other hand, NOTCH1 activation was higher in the BM. In addition, miR-15a, miR-181, and miR-146 were decreased and miR-155 had increased expression in most samples. The activation of the NOTCH pathway in vitro increases the susceptibility of primary CLL cells to apoptosis despite high BCL2 expression.
On-Site Bioaerosol Sampling and Airborne Microorganism Detection Technologies
Authors: Rastmanesh Afagh , Boruah Jayanta S. , Lee Min-Seok , Park Seungkyung
Published: February 2024

Bioaerosols are small airborne particles composed of microbiological fragments, including bacteria, viruses, fungi, pollens, and/or by-products of cells, which may be viable or non-viable wherever applicable. Exposure to these agents can cause a variety of health issues, such as allergic and infectious diseases, neurological disorders, and cancer. Therefore, detecting and identifying bioaerosols is crucial, and bioaerosol sampling is a key step in any bioaerosol investigation. This review provides an overview of the current bioaerosol sampling methods, both passive and active, as well as their applications and limitations for rapid on-site monitoring. The challenges and trends for detecting airborne microorganisms using molecular and immunological methods are also discussed, along with a summary and outlook for the development of prompt monitoring technologies.
Study on the Modified Ventilation Network on the Ventilation Effect and Ozone Migration Characteristics in Grain Pile
Authors: Yang Kaimin , Chu Fengjiao , Li Jiabin , Wang Yuancheng , Dong Xiaoqian , Liu Jiying , Mao Yudong
Published: February 2024

Grain is an important material for human survival. However, the expanding world population is contributing to a growing grain shortage. In order to reduce the loss of grain due to pests and mold during storage, mechanical ventilation as the main method of ventilation has crucial research significance. This article proposed and analyzed the ventilation effect and the migration characteristics of ozone in the grain pile under the modified ventilation network (MVN) and compared it with the original ventilation network (OVN). The study found that the temperature, moisture, and ozone concentration in the grain pile of the two ventilation networks are not evenly distributed in the vertical direction, showing a layered pattern. That is, with an increase in grain stack height, the temperature and moisture content of the grain stack are higher, and the ozone concentration is lower. Moreover, in the pre-ventilation period, the average temperature decline rate of the MVN was 1.25 °C/d, which was better than that of the OVN (0.84 °C/d), and the maximum temperature difference between the MVN and the OVN was 0.89 °C. The vertical ducts added to the MVN improved the ventilation effect, maintaining high ozone concentrations within the grain pile. Notably, on the sixth day of fumigation, the average ozone concentration of the MVN exceeded that of the OVN. The MVN can solve the shortcomings of the OVN, where air intake and fumigation gas rise slowly in the vertical direction. These findings hold substantial significance for optimizing ventilation network structures, devising effective fumigation strategies, and enhancing the insecticidal effects of grain storage.