bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary supplementation of compound probiotics to improve performance, egg quality, biochemical parameters and intestinal morphology of laying hens
Authors: Wang Yan , Zhang Chaosheng , Chen Xing , Zheng Aijuan , Liu Guohua , Ren Ying , Chen Zhimin
Published: December 2024

The purpose of this study was to investigate the effects of dietary supplementation of compound probiotics on the performance, egg quality, biochemical parameters and intestinal morphology of laying hens. A total of 180 healthy 200-day-old Hyline Brown laying hens with similar initial laying rate (87.5% ± 0.2%) were randomly divided into the control group and the treatment group. Each group included 6 replicates and each replicate included 15 laying hens. The control group was provided a basal diet, while the treatment group received the basal diet supplemented with compound probiotics. The experiment lasted for 52 days. The study indicated the following outcomes: (1) The laying rate (LR) and average egg weight (AEW) of laying hens in the treatment group were significantly higher than those of the control group (p < 0.05), whereas the feed-to-egg ratio (F/E) was significantly lower (p < 0.05); (2) The yolk weight (YW), egg shape index (ESI) and albumen height (AH) were significantly higher (p < 0.05), whereas the eggshell percentage (EP) was significantly lower (p < 0.05) after the dietary supplementation of compound probiotics; (3) The treatment group significantly decreased in total cholesterol (TC), triglyceride (TG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), malondialdehyde (MDA), immunoglobulin A (IgA), and immunoglobulin G (IgG) levels in serum compared to the CON group (p < 0.05). Additionally, serum levels of total protein (TP), globulin (GLB), albumin (ALB), high-density lipoprotein (HDL), alkaline phosphatase (ALP), and total antioxidant capacity (T-AOC) were significantly higher in the treatment group (p < 0.05); (4) The supplementation of compound probiotics to laying hen diets led to a significant reduction in crypt depth (CD) and the ratio of villus height to crypt depth (V/C) in the jejunum compared to the CON group (p < 0.05). In conclusion, the supplementation of compound probiotics can regulate the body metabolism and improve the intestinal morphology, thus enhancing the antioxidant capacity and immune function of the body, which in turn improves the performance and egg quality of laying hens.
A Convolutional Neural Network-Based Stress Prediction Method for Airfoil Structures
Authors: Jia Wendi , Chen Quanlong
Published: December 2024

As a vital component of an aircraft, the structural integrity of the wing is closely linked to both flight performance and safety, making it essential to accurately predict the stresses within its structure. However, conventional stress calculation methods often encounter significant computational costs and lengthy analysis times when addressing highly nonlinear and complex geometries. To address these challenges, this paper introduces a deep learning-based stress prediction approach called the Multi-scale Attention Enhanced Unet (MA-Unet) model. The model incorporates a multi-scale feature extraction and attention mechanism based on Unet to capture complex stress distribution features more efficiently, and is applied to the stress prediction of wing skin structures. A stress field dataset is generated through numerical simulation, which is then used to train and evaluate the MA-Unet model. The prediction results are compared with those obtained from traditional convolutional neural networks (CNNs) and the Unet model. Experimental results demonstrate that the MA-Unet model achieves higher accuracy in predicting wing skin stresses and shows strong robustness across various testing conditions. This model serves as an effective method and provides valuable data support for the rapid and accurate assessment of wing structures, highlighting its significant practical applications.
Digital Thread-Based Optimisation Framework for Aeronautical Structures: A Vertical Tail Plane Use Case
Authors: de Longueville Sébastien , Bouvet Christophe , Bénard Emmanuel , Jézégou Joël , Gourinat Yves
Published: December 2024

In this modern era, the constant increase in computational and sensing power has lead to the development of multiple data-driven concepts. Amongst these, the ‘digital thread’ is an architecture that aims at optimising the knowledge of a system by merging prior knowledge of the product with information from multiple stages of its lifecycle in order to improve the performance of new products to be designed, thanks to the increased accuracy of this updated knowledge. Even though the use of these data-driven architectures is becoming increasingly widespread, most of the corresponding developments remain currently limited to the component level. In this respect, this article extends the application of the digital thread from the component level to the structural assembly level and enriches it with additional multi-physics considerations and non-linear failure constraints. To this end, it details the development of a digital thread dedicated to an aircraft vertical tail plane structure made of carbon fibre reinforced polymer, as well as the tools and models required to implement such an approach using Bayesian inference, multi-physics simulations, and empirical models.
Development of EV Crawler-Type Weeding Robot for Organic Onion
Authors: Yang Liangliang , Kamata Sota , Hoshino Yohei , Liu Yufei , Tomioka Chiaki
Published: December 2024

The decline in the number of essential farmers has become a significant issue in Japanese agriculture. In response, there is increasing interest in the electrification and automation of agricultural machinery, particularly in relation to the United Nations Sustainable Development Goals (SDGs). This study focuses on the development of an electric vehicle (EV) crawler-type robot designed for weed cultivation operations, with the aim of reducing herbicide use in organic onion farming. Weed cultivation requires precise, delicate operations over extended periods, making it a physically and mentally demanding task. To alleviate the labor burden associated with weeding, we employed a color camera to capture crop images and used artificial intelligence (AI) to identify crop rows. An automated system was developed in which the EV crawler followed the identified crop rows. The recognition data were transmitted to a control PC, which directed the crawler’s movements via motor drivers equipped with Controller Area Network (CAN) communication. Based on the crop row recognition results, the system adjusted motor speed differentials, enabling the EV crawler to follow the crop rows with a high precision. Field experiments demonstrated the effectiveness of the system, with automated operations maintaining a lateral deviation of ±2.3 cm, compared to a maximum error of ±10 cm in manual operation. These results indicate that the automation system provides a greater accuracy and is suitable for weed cultivation tasks in organic farming.
Analysis of Seed Vigor Using the Biospeckle Laser Technique
Authors: Braga Roberto A. , Contado José Luís , Ducatti Karina Renostro , da Silva Edvaldo A. Amaral
Published: December 2024

Seed analysis is a cornerstone in advancing agriculture, with vigor tests playing a critical role in evaluating the physiological quality of seeds. However, monitoring seed vigor over time poses a significant challenge for the seed industry, as traditional methods are time-consuming and heavily reliant on subjective human judgment. Concerning these limitations, optical-based techniques have emerged as promising alternatives. Among them, the biological laser speckle phenomenon, rooted in optical interferometry, has proven effective in sensitively detecting and monitoring activity levels in living tissues. Known as the biospeckle laser (BSL) technique, this approach offers reliable results in assessing seed vigor. The BSL technique stands out due to its simplicity, rapid analysis, objectivity, and potential for automation, making it a valuable tool for seed analysis. This paper explores the state-of-the-art application of the BSL technique for evaluating seed vigor, highlighting successful approaches, identifying current challenges, and outlining areas for future research. It delves into the experimental setup for seed illumination and discusses the associated image processing methods. Furthermore, the paper examines the numerical and graphical outcomes, underscoring the BSL technique’s ability to carry out seed analysis by addressing the limitations of traditional methods and enhancing efficiency in the agricultural sector.
Genetic Structure of Endangered Species Anagallis foemina Mill. and Abundant Weed Anagalis arvensis L. Occurring in Segetal Habitats in South-Eastern Poland
Authors: Kwiecińska-Poppe Ewa , Sowa Sylwia , Lech Joanna , Haliniarz Małgorzata , Paczos-Grzęda Edyta
Published: December 2024

In Poland, two species of the genus Anagallis can be found in segetal communities: scarlet pimpernel (Anagallis arvensis L.) and blue pimpernel (Anagallis foemina Mill.). A. arvensis usually has brick-red flowers and is a common weed in arable crops. Meanwhile, A. foemina, with blue flowers, is considered a species at risk of extinction in Poland. Flower colour is not a determinant of species affiliation, as there is a form of Anagallis arvensis f. azurea with blue flowers; thus, it is very difficult to specify the species identity of plants with blue flowers based on the negligible differences in morphology. Therefore, for the determination of species affiliation, the presence of two deletions within the intron of the chloroplastic gene trnL in A. arvensis and their absence in A. foemina were confirmed. The genetic similarity and population structure were established based on DNA polymorphism markers identified via the ISSR (inter simple sequence repeat) and SRAP (sequence-related amplified polymorphism) methods. UPGMA (unweighted pair group method with arithmetic mean) analyses revealed that red-flowered (A. arvensis) and blue-flowered (A. foemina) plants were grouped into two separate groups. Within the A. foemina group, two subgroups were distinguished: the first subgroup included genotypes from the Lublin Upland (LU) and Volhynian Polesie (VP), while the second subgroup consisted of genotypes from Western Volhynian Upland (VU). The within-group genetic diversity of A. arvensis was greater than the diversity within the A. foemina subpopulations. Principal coordinate analysis (PCoA) and STRUCTURE were also used to group samples according to species affiliation and collection site. The results obtained confirm that A. foemina populations in the study area are fragmented and isolated, which may lead to a decrease in their adaptability to environmental changes, reduced reproductive rates, and increased mortality.
Using Recombinase-Aid Amplification Combined with Pyrococcus furiosus Argonaute for Rapid Sex Identification in Flamingo (Phoenicopteridae)
Authors: Tan Shenluan , Zeng Fanwen , Zhong Wanhuan , Chen Tanzipeng , Chen Xuanjiao , Li Li , Wei Hengxi , Zhang Shouquan
Published: December 2024

Flamingos (Phoenicopteridae) are among the oldest birds worldwide and are loved by people for their bright red feathers. In addition, flamingos are sexually monomorphic birds, and distinguishing between males and females is difficult. The polymerase chain reaction (PCR) is widely used for sex identification. However, the PCR method requires a precise thermal cycler in the laboratory and is time-consuming. Therefore, developing a rapid, sensitive, and accurate method to identify the sex of flamingos is crucial. In this study, we established a sex identification system using a recombinase-aided amplification-Pyrococcus furiosus Argonaute (RAA-PfAgo) technique for greater flamingo (Phoenicopterus roseus). The greater flamingo-RAA-PfAgo system can identify unknown-sex greater flamingos in less than 1 h and can be visualized using a fluorescent detector or blue light. The results showed that optimal RAA-PfAgo conditions could detect 0.6 ng of genomic DNA and effectively differentiate between males and females. Random sample evaluations revealed that the system had a 100% coincidence rate compared with conventional PCR. In conclusion, this study provides a sensitive, specific, and accurate reference method for greater flamingo sexing.
Standardization of the Agar Plate Method for Bacteriophage Production
Authors: Jo Su Jin , Lee Young Min , Cho Kevin , Park Seon Young , Kwon Hyemin , Giri Sib Sankar , Lee Sung Bin , Jung Won Joon , Park Jae Hong , Hwang Mae Hyun , Park Da Sol , Park Eun Jae , Kim Sang Wha , Jun Jin Woo , Kim Sang Guen , Kim Ji Hyung , Park Se Chang
Published: December 2024

The growing threat of antimicrobial resistance (AMR), exacerbated by the COVID-19 pandemic, highlights the urgent need for alternative treatments such as bacteriophage (phage) therapy. Phage therapy offers a targeted approach to combat bacterial infections, particularly those resistant to conventional antibiotics. This study aimed to standardize an agar plate method for high-mix, low-volume phage production, suitable for personalized phage therapy. Plaque assays were conducted with the double-layer agar method, and plaque sizes were precisely measured using image analysis tools. Regression models developed with Minitab software established correlations between plaque size and phage production, optimizing production while minimizing resistance development. The resulting Plaque Size Calculation (PSC) model accurately correlated plaque size with inoculum concentration and phage yield, establishing specific plaque-forming unit (PFU) thresholds for optimal production. Using phages targeting pathogens such as Escherichia, Salmonella, Staphylococcus, Pseudomonas, Chryseobacterium, Vibrio, Erwinia, and Aeromonas confirmed the model’s accuracy across various conditions. The model’s validation showed a strong inverse correlation between plaque size and minimum-lawn cell clearing PFUs (MCPs; R² = 98.91%) and identified an optimal inoculum density that maximizes yield while minimizing the evolution of resistant mutants. These results highlight that the PSC model offers a standardized and scalable method for efficient phage production, which is crucial for personalized therapy and AMR management. Furthermore, its adaptability across different conditions and phages positions it as a potential standard tool for rapid and precise phage screening and propagation in both clinical and industrial settings.
Assessment of the Effects of Enamel Remineralization After Treatment with Hydroxylapatite Active Substance: SEM Study
Authors: Reguzzoni Marcella , Carganico Andrea , Lo Presti Doriana , Zecca Piero Antonio , Scurati Eleonora Ivonne , Caccia Margherita , Levrini Luca
Published: December 2024

This study aimed to investigate the remineralization processes of dental enamel via scanning electron microscopy and observe the changes induced in the microstructure by oral hygiene products. More specifically, the effectiveness of Mentadent Professional Resilience was analyzed for its ability to demineralize erosion-affected enamel surfaces. This involved the sectioning of some teeth to preserve enamel integrity, followed by dehydration and preparation for SEM analysis. SEM observations were made at various magnifications to detect differences in enamel morphology after treatment with the product. These observations provide valuable insights into the mechanisms of action of dental care products and their potential to protect enamel. The study makes a contribution to our understanding of remineralization processes and describes the importance of microscopic analysis for evaluating and developing effective dental products.
Impact of Self-Contained Breathing Apparatus on Air Gaps in Structural Firefighting Personal Protective Clothing
Authors: Bolaji Josephine , McQuerry Meredith
Published: December 2024

The self-contained breathing apparatus (SCBA) is an integral part of the structural firefighting personal protective equipment (PPE) ensemble. However, when donned, it adds significant weight and restriction, interfering with the fit of the turnout suit and the ventilation within the clothing system. This may result in a reduction of air gaps within the clothing microclimate, quickening the onset of heat strain. Therefore, the purpose of this study was to assess the impact of the SCBA on air gaps in structural firefighting turnout suits. Nine active-duty male firefighter participants were scanned in a three-dimensional body scanner in four garment configurations (compression, base layers, turnout suit, and turnout with SCBA). Torso volume, surface area, and air gaps were calculated alongside ease measurements. Findings demonstrated a 59% increase in torso volume when donning the turnout suit over base layers compared to a 1.2% reduction in torso volume when donning the SCBA. The change in torso air gap volume and distance were also found to be negligible when donning the SCBA. This study lays the foundation for full systems ensemble research needed to better understand how the design, weight, and fit of the SCBA impacts the thermal comfort, mobility, and protection of structural firefighters.
Holocene Activity Characteristics and Seismic Risk of Major Earthquakes in the Middle Segment of the Jinshajiang Fault Zone, East of the Qinghai–Tibetan Plateau
Authors: Liang Mingjian , Luo Naifei , Dong Yunxi , Tan Ling , Su Jinrong , Wu Weiwei
Published: December 2024

The Jinshajiang fault zone is the western boundary fault of the Sichuan–Yunnan block, located east of the Qinghai–Tibetan Plateau. It is a complex tectonic suture belt with multi-phase activity and is characterized by multiple sets of parallel or intersecting faults. Using high-resolution image interpretation, seismic geological surveys, and trench studies, we examined the Holocene activity and obtained the paleoseismic sequences on the middle segment of the fault zone. Thus, we could analyze the kinematic characteristics of the fault and its potential risk of strong earthquakes. Our results indicated that the predominant movement of the fault zone was strike-slip motion. In the Jinshajiang fault zone, the Late Quaternary horizontal slip rates of the north-northeast-trending Yarigong fault and the northeast-trending Ciwu fault were 3.6 ± 0.6 mm/a and 2.5 ± 0.5 mm/a, respectively. Three paleoseismic events were identified on the Yarigong fault, dated 6745–3848, 3742–1899, and 1494–1112 cal BP, and on the Ciwu fault, constrained to 32,566–29,430, 24,056–22,990, and 2875–2723 cal BP. The last major earthquake on the Ciwu fault occurred approximately 2800 years ago; therefore, its future seismic hazard deserves attention.
Echoes of the Day: Exploring the Interplay Between Daily Contexts and Smartphone Push Notification Experiences
Authors: Özdemir Mustafa Can , Mottus Mati , Lamas David
Published: December 2024

Smartphone push notifications aim to provide time-sensitive information to their users. However, notifications are often transmitted in ill-timed situations, causing users to be interrupted, annoyed, and stressed. This ultimately affects the overall notification experience as it does not consider the external contexts the users are situated in. This study aims to shed light on how users manage notifications in their daily lives and how they perceive the experience as a whole. A total of 28 participants took part in a 5-day mixed-method diary study, which logged a total of 135 entries. Based on this, six types of characteristics emerged. These characteristics were formed from the combination of three main categories: notification related, day related, and user related. The findings of this study highlight implementing different strategies for each type of characteristic to mitigate the adverse effects notifications have on users.
Drowsiness Detection in Drivers Using Facial Feature Analysis
Authors: Essel Ebenezer , Lacy Fred , Albalooshi Fatema , Elmedany Wael , Ismail Yasser
Published: December 2024

Drowsiness has been recognized as a leading factor in road accidents worldwide. Despite considerable research in this area, this paper aims to improve the precision of drowsiness detection specifically for long-haul travel by employing the Dlib-based facial feature detection algorithm. This study proposes two algorithms: a static and adaptive frame threshold. Both approaches utilize eye closure ratio (ECR) and mouth aperture ratio (MAR) parameters to determine the driver’s level of drowsiness. The static threshold method issues a warning when the ECR and/or MAR values reach specific thresholds. In this method, the ECR threshold is established at 0.15 and the MAR threshold at 0.4. The static threshold method demonstrated an accuracy of 89.4% and a sensitivity of 96.5% using 1000 images. The adaptive frame threshold algorithm uses a counter to monitor the number of consecutive frames that meet the drowsiness criteria before triggering a warning. Additionally, the number of consecutive frames required is adjusted dynamically over time to enhance detection accuracy and more accurately indicate a state of drowsiness. The adaptive frame threshold algorithm was tested using four 30 min videos, from a publicly available dataset achieving a maximum accuracy of 98.2% and a sensitivity of 64.3% with 500 images.
Influence of Different Fibers on Performance of Bitumen Binders and Thin-Overlay Bitumen Mixtures
Authors: Wei Jianguo , Mao Jing , Han Yanlong , Li Ping , Wu Wenjie , Yi Chengxi
Published: December 2024

Thin-layer covers easily crack under traffic load, shortening their service life. Incorporating fiber materials into the mix can enhance crack resistance thanks to their abundance, affordability, and flexibility. However, different types of fibers have different performances in bitumen and mixtures due to different material properties. To explore this problem, basalt fiber, polypropylene fiber, and glass fiber were selected in this paper. The surface characteristics, internal structure, and adsorption capacity of oily substances were observed via scanning electron microscopy and oil absorption rate testing. The effects of fibers on the high-temperature and low-temperature properties of styrene-butadiene-styrene block copolymer-modified bitumen were investigated using the dynamic shear rheometer and the force ductility method. Ultimately, through indirect tensile testing and semi-circular bending tests, and the introduction of the toughness index and fracture toughness, a comprehensive evaluation was conducted on how varying fiber types and content affect the crack resistance and toughness of bitumen mixtures. The results show that the density and dispersion of the bundle fibers are the key to the oil absorption capacity under similar internal and external structural conditions. The oil absorption rate of polypropylene fiber is the best, reaching 5.423. Fiber incorporation can significantly improve the high-temperature rheological properties of bitumen. At 4% dosage, G*/sinδ increased by about 107.04% on average at 76 °C. At low temperatures, the increase in fiber content leads to a decrease in bitumen elasticity, and the influence of glass fiber is more obvious. The area of toughness did not reach 2000 N·mm at 4% dosage. After adding fibers, the toughness index and fracture toughness of the mixture increased by more than 2% and 35%, respectively. The maximum increases in fracture energy and crack initiation energy of the mixture are 14.29% and 47.29%, respectively. It shows that the fiber enhances the toughness, crack resistance, and crack propagation resistance of the mixture. The research results can provide some reference for the application of fiber-reinforced bitumen mixtures.
Numerical Simulation Analysis of Different Excavation Parameters for TBM 3D Disc Cutters Based on the Discrete Element Method
Authors: Liang Feng , Pei Chenyuan , Luo Weibang , You Minglong , Tan Fei
Published: December 2024

This study provides a theoretical foundation for optimizing tunnel boring machine (TBM) excavation parameters under diverse geological conditions, offering significant engineering value by enhancing construction efficiency and reducing costs. As the development of underground spaces advances, TBMs play a pivotal role in tunnel excavation. TBMs enhance safety in excavation by mechanically breaking rock, reducing the reliance on explosives, and the associated risks of blasts. The shield support minimizes surrounding rock collapse, advanced geological forecasting mitigates risks posed by complex geologies, and intelligent monitoring systems improve operational safety. To enhance TBM efficiency and safety, this study developed a 3D simulation model of rock breaking by disc cutters using the discrete element method. This study systematically examined the effects of excavation parameters, including disc-cutter diameter, cutter spacing, and penetration, on rock-breaking performance. The findings reveal, that as the disc-cutter diameter increases, the rolling force also increases, while the rock-breaking specific energy initially rises and then declines. The 19-inch disc cutter demonstrated a superior rock-breaking efficiency in conventional excavation operations. At a cutter spacing of 60 mm, the rock-breaking specific energy reached its lowest value, representing optimal efficiency. Furthermore, as the penetration increased, both the rolling force and rock fragmentation volume grew, whereas the specific energy decreased, further improving the rock-breaking efficiency.
Two New Species of Crayfish of the Genus Cherax (Crustacea, Decapoda, Parastacidae) from Western and Eastern Indonesian New Guinea
Authors: Lukhaup Christian , Eprilurahman Rury , von Rintelen Thomas
Published: December 2024

Two new species of the genus Cherax are described and illustrated. Cherax rayko n. sp., endemic to the Bian River drainage basin in the Muting District, in the northern part of the Merauke Regency, South Papua, Indonesia, is described, figured, and compared with its closest relatives, Cherax alyciae, Lukhaup, Eprilurahman & von Rintelen, 2018, and Cherax peknyi Lukhaup & Herbert, 2008. The new species may be easily distinguished from both by the shape of the rostrum, the shape of the chelae, the shape of the scaphocerite, and the coloration. Cherax phing n. sp., endemic to the Kali Ombak River drainage basin in the western part of the Kepala Burung (Vogelkop) Peninsula, Southwest Papua, Indonesia, is described, figured, and compared with its closest relatives, Cherax pulcher Lukhaup, 2015a, Cherax boesemani Lukhaup & Pekny, 2008, Cherax wagenknechtae Lukhaup and Eprilurahman, 2022, and Cherax gherardii Patoka, Bláha & Kouba, 2015. The new species may be easily distinguished from the latter species by the shape of the chelae, rostrum, and body and by the coloration. A molecular phylogeny based on a mitochondrial gene fragment, 16S, supports the morphology-based description of the two new species, which can also be clearly distinguished by sequence differences.
Characteristics of Air Toxics from Multiple Sources in the Kaohsiung Coastal Industrial Complex and Port Area
Authors: Tsai Jiun-Horng , Yeh Pei-Chi , Huang Jing-Ju , Chiang Hung-Lung
Published: December 2024

This study focuses on understanding the health impacts of hazardous air pollutant (HAP) emissions from the Kaohsiung Coastal Industrial Park and port areas in southern Taiwan on neighboring communities. Six important HAPs (formaldehyde, benzene, arsenic, vinyl chloride, 1,3-butadiene, and diesel particulate matter (DPM)) were identified in this area. By considering the impact of emissions from stationary sources, mobile sources, and port activities, the relative importance of each emission source was assessed. In addition, the AERMOD (AMS (American Meteorological Society)/EPA (U.S. Environmental Protection Agency)) diffusion model was employed to simulate the increases in target pollutant concentrations and to analyze the influence and spatial distribution of various emission sources on atmospheric HAP concentrations in nearby communities. This study further evaluated the exposure risks of composite HAP sources, to understand their impacts and to determine their control priorities. The findings revealed that emissions and carcinogenic weighting from composite sources, particularly DPM emissions from port activities, including from ocean-going vessels and heavy-duty vehicles, had a significant impact. The maximum incremental concentration for DPM in the study area occurred around the port area, whereas the maxima for formaldehyde, benzene, arsenic, vinyl chloride, and 1,3-butadiene were all observed within the industrial complex. DPM emissions from port activities, 1,3-butadiene emissions from mobile sources, and benzene emissions from stationary sources were the composite sources with the greatest potential impacts. Over 90% of health risks were due to DPM, and the remaining health risks were due to 1,3-butadiene (6%), benzene (2%), arsenic (1%), and other species (less than 1%). DPM emissions were primarily influenced by port activities (77%), 1,3-butadiene emissions by mobile sources (45%), and benzene emissions by stationary sources (41%). A total of 25% of the area had risk values greater than 10−3, and 75% of the area had risk values between 10−3 and 10−4. The risk values in the densely populated areas were all greater than 10−4. The potential risk hotspots with risk values greater than 10−3 were located on the northwest side of the port and downwind of the industrial park. The key pollutants contributing to these hotspots were, in order, DPM (up to 80% cancer risk), formaldehyde, and 1,3-butadiene, all of which were significantly influenced by port activities. This indicates that the control of, and reduction in, HAP emissions from port activities should be prioritized.
Trends in the Occurrence of Compound Extremes of Temperature and Precipitation in Côte d’Ivoire
Authors: Akobé Elisée Yapo , Diawara Adama , Yoroba Fidèle , Kouassi Benjamin K. , Yapo Assi Louis Martial , Diba Ibrahima , Kouadio Kouakou , Tiémoko Dro T. , Koné Dianikoura Ibrahim , Diedhiou Arona
Published: December 2024

The aim of this study is to characterize the compound extremes of rainfall and temperature in Côte d’Ivoire. For this purpose, we analyzed the outputs of fourteen (14) climate models from the CORDEX-Africa project. Results show an increase (approximately 4.3 °C) in the surface temperature and a decrease (5.90%) of the mean rainfall in the near (2036–2065) and far futures (2071–2100) over Côte d’Ivoire during the January–February–March (JFM) period. The analysis of the compound extremes of the wet/warm type highlights an increase in the frequency of this climatic hazard in the northern and central parts of the country during the January–March (JFM) season in the near and far futures. The dry/warm mode will increase in the central and southern parts of the country in the near future and in the whole country in the far future. These increases in compound extremes could lead to an increase in droughts and natural disasters across the country and could have a negative impact on socio-economic activities, such as transportation and agricultural production. This work could provide decision support for political decision-makers in formulating future public policies for managing agricultural production, food security, and natural disasters.
Routing Enhancement in MANET Using Particle Swarm Algorithm
Authors: Almutairi Ohood , Khairullah Enas , Almakky Abeer , Alotaibi Reem
Published: December 2024

A Mobile ad hoc Network (MANET) is a collection of wireless mobile nodes that temporarily establish a network without centralized administration or fixed infrastructure. Designing the routing of adequate routing protocols is a major challenge given the constraints of battery, bandwidth, multi-hop, mobility, and enormous network sizes. Recently, Swarm Intelligence (SI) methods have been employed in MANET routing due to similarities between swarm behavior and routing. These methods are applied to obtain ideal solutions that ensure flexibility. This paper implements an enhanced Particle Swarm Optimization (EPSO) algorithm that improves MANET performance by enhancing the routing protocol. The proposed algorithm selects the stable path by considering multiple metrics such as short distance, delay of the path, and energy consumption. The simulation results illustrate that the EPSO outperforms other existing approaches regarding throughput, PDR, and number of valid paths.
Parametric Integrals for Binomial Series with Harmonic Polynomials
Authors: Li Chunli , Chu Wenchang
Published: December 2024

Binomial series involving harmonic polynomials are expressed in terms of parametric integrals. By evaluating these parametric integrals, we establish several remarkable closed formulae for the infinite series containing both central binomial coefficients and harmonic numbers. Most of the values for binomial series found in this paper concern the dilogarithm and trilogarithm functions.
A Genetic Algorithm Based ESC Model to Handle the Unknown Initial Conditions of State of Charge for Lithium Ion Battery Cell
Authors: Korez Kristijan , Fister Dušan , Šafarič Riko
Published: December 2024

Classic enhanced self-correcting battery equivalent models require proper model parameters and initial conditions such as the initial state of charge for its unbiased functioning. Obtaining parameters is often conducted by optimization using evolutionary algorithms. Obtaining the initial state of charge is often conducted by measurements, which can be burdensome in practice. Incorrect initial conditions can introduce bias, leading to long-term drift and inaccurate state of charge readings. To address this, we propose two simple and efficient equivalent model frameworks that are optimized by a genetic algorithm and are able to determine the initial conditions autonomously. The first framework applies the feedback loop mechanism that gradually with time corrects the externally given initial condition that is originally a biased arbitrary value within a certain domain. The second framework applies the genetic algorithm to search for an unbiased estimate of the initial condition. Long-term experiments have demonstrated that these frameworks do not deviate from controlled benchmarks with known initial conditions. Additionally, our experiments have shown that all implemented models significantly outperformed the well-known ampere-hour coulomb counter integration method, which is prone to drift over time and the extended Kalman filter, that acted with bias.
Mesenchymal Stem Cells: What We Have Learned and How to Manage Them
Authors: Lampiasi Nadia
Published: December 2024

Regenerative medicine is the new frontier of medicine [...]
Synthesis and Anti-Cancer Activity In Vitro of Synephrine Derivatives
Authors: Zhidkova Ekaterina M. , Oleynik Evgeniya S. , Mikhina Ekaterina A. , Stepanycheva Daria V. , Grigoreva Diana D. , Grebenkina Lyubov E. , Gordeev Kirill V. , Savina Ekaterina D. , Matveev Andrey V. , Yakubovskaya Marianna G. , Lesovaya Ekaterina A.
Published: December 2024

Glucocorticoids (GCs) are routinely used to treat hematological malignancies; however, long-term treatment with GCs can lead to atrophic and metabolic adverse effects. Selective glucocorticoid receptor agonists (SEGRAs) with reduced side effects may act as a superior alternative to GCs. More than 30 SEGRAs have been described so far, yet none of them reached clinical trials for anti-cancer treatment. In the present work, we propose a novel approach to increase the number of potential SEGRAs by obtaining derivatives of synephrine, a molecule of natural origin. We synthesized 26 novel compounds from the class of synephrine derivatives and characterized them by HRMS, and 1H and 13C NMR. We evaluated in vitro anti-cancer effects in leukemia K562 and lymphoma Granta cells using the MTT assay and studied their potential affinity for the glucocorticoid receptor (GR) in silico using the molecular docking approach. The novel derivative 1-[4-(benzyloxy)phenyl]-2-(hexylamino)ethanol (10S-E2) with the highest GR affinity in silico exhibited cytotoxic activity against K562 and Granta cells after 24 h of treatment at the concentration of approximately 13 µM which correlated with its highest MolDock Score. The other compound with high GR affinity, 2-(hexylamino)-1-(4-nitrophenyl)ethanol (13S-G2), demonstrated cytotoxicity in both cell lines at concentrations of 50–70 µM. Overall, our results may provide a solid rationale for developing and further investigating synephrine derivatives as SEGRAs with anti-cancer activity.
First Description of the Role of the Relationship Between Serum Amyloid P Components and Nuclear Factors/Pro-Cytokines During Critical Periods of Toxoplasmic Encephalitis
Authors: Dincel Gungor Cagdas , Atmaca Hasan Tarik , El-Ashram Saeed
Published: December 2024

Background/Objectives: Toxoplasma gondii (T. gondii), an obligate food-borne intracellular parasite, causes severe neuropathology by establishing a persistent infection in the host brain. We have previously shown that T. gondii infection induces severe neuropathology in the brain manifested by increased nitric oxide production, oxidative stress, glial activation/BBB damage, increased pro-inflammatory cytokine glia maturation factor-beta and induced apoptosis. Methods: The aim of this experimental study was to investigate the serum amyloid P (SAP) components, nuclear factor kappa B (NF-κB), interleukin-1 beta (IL-1β), caspase 1 (Casp 1), tumor necrosis factor-alpha (TNF-α) and complement 3 (C3) gene expressions on the 10th, 20th and 30th days after infection with T. gondii in the neuroimmunopathogenesis of toxoplasmic encephalitis (TE) in mouse brains by real-time quantitative polymerase chain reaction. The study also aimed to determine whether there was a correlation between the markers included in the study on these critical days, which had not previously been investigated. The mRNA expression levels of SAP components, NF-κB, IL-1β, Casp 1, TNF-α and C3 were examined. Results: The most notable outcome of this investigation was the observation that SAP components exhibited a 13.9-fold increase on day 10 post-infection, followed by a rapid decline in the subsequent periods. In addition, IL-1β expression increased 20-fold, while SAP components decreased 13-fold on day 20 after infection. Additionally, the TNF-α, Casp 1 and NF-κB expression levels were consistently elevated to above normal levels at each time point. Conclusions: This study identified SAP components, NF-κB, IL-1β, Casp 1 and TNF-α expressions as playing critical roles in TE neuroimmunopathogenesis. Furthermore, to the best of our knowledge, this is the first study to investigate SAP components during the transition from acute systemic infection to early/medium chronic and chronic infection and to explore the relationship between SAP components and other nuclear factors/pro-cytokines.
Seismic Behavior of Bahareque Walls Under In-Plane Horizontal Loads
Authors: Cristancho Karol , Otálvaro Iván Fernando , Ruiz Daniel M. , Barrera Natalia , Villalba-Morales Jesús D. , Alvarado Yezid A. , Cundumí Orlando
Published: December 2024

This study investigates the structural behavior of bahareque earth walls, a traditional construction system commonly used in rural areas of northern South America. Bahareque (wattle and daub) walls, consisting of guadua (a bamboo-like material) or wooden frames filled with soil mixes, have demonstrated considerable resilience in seismic zones due to their lightweight and flexible nature. Despite their widespread use in these communities, limited scientific data exist on their seismic performance under in-plane pseudo-static horizontal loading. This research addresses this gap by experimentally evaluating the seismic behavior of five wall models with different combinations of guadua, wood, and earth filling materials. The methodology included four main phases, namely field visits to document traditional construction techniques, material characterization, prototype testing under pseudo-static loads, and an analysis of mechanical behavior. Key material properties, including compressive strength and Young’s modulus, were determined, alongside the mechanical and physical properties of the infill material, which incorporated natural fibers. Pseudo-static tests were conducted on five wall prototypes, featuring various configurations of guadua and wood frameworks, both with and without soil infill. The walls were subjected to horizontal in-plane loads to assess their deformation capacity, energy dissipation, and failure mechanisms. The results indicated that walls with soil mixture infill—specifically the GSHS (guadua frame with horizontal guadua strips and soil mixture infill) and TSHS (wood frame with horizontal guadua strips and soil mixture infill) configurations—demonstrated the best seismic performance, with maximum displacements reaching up to 166 mm and strengths ranging from 6.4 to 8.4 kN. The study concludes that bahareque walls, particularly those incorporating soil mixes and horizontal guadua strips, exhibit high resilience under seismic conditions and provide a sustainable construction alternative for rural regions. The scope of this study is limited by the exclusion of dynamic seismic simulations, which could offer additional insights into the behavior of bahareque walls under real earthquake conditions. The novelty of this research lies in the direct evaluation of the seismic performance of traditional bahareque configurations, specifically comparing walls constructed with guadua and wooden frameworks, while emphasizing the critical role of soil infill and guadua strips in structural performance.
The Evolution of Smart City Policy in China: A Quantitative Study Based on the Content of Policy Texts
Authors: Yue Chongfeng , Li Hongyan , Mao Haocheng , Yue Aobo
Published: December 2024

As China is the largest developing country and the country with the largest volume of smart city construction, the Chinese government has promulgated a series of policies to develop smart cities vigorously. Thus, the understanding of smart city policies from the perspective of policy science theory is helpful in achieving a full understanding of the development stage and evolution path of smart cities and improving the implementation of smart city policies. In this study, text content mining and quantitative empirical analysis are used to investigate the structure and function of China’s smart city policy. The results demonstrate that China’s smart city policy has largely realized the evolutionary process of the policy keynote from “taking” to “giving” and the policy subject from “single” to “pluralistic”. The organizational structure has gradually turned from “multidisciplinary” to “cooperative governance”. The analysis results indicate that the policy guidance for smart cities should focus on the positive interaction between social needs and urban development regulations. It is also important to enhance citizen participation and redefine the role of the government in the development of smart cities.
BRCA and Beyond: Impact on Therapeutic Choices Across Cancer
Authors: Tan Joshua Zhi Chien , Zhang Zewen , Goh Hui Xuan , Ngeow Joanne
Published: December 2024

Background: Identifying patients with gBRCAm is crucial to facilitate screening strategies, preventive measures and the usage of targeted therapeutics in their management. This review examines the evidence for the latest predictive and therapeutic approaches in BRCA-associated cancers. Clinical Description: Data supports the use of adjuvant olaparib in patients with gBRCAm high-risk HER2-negative breast cancer. In advanced gBRCAm HER2-negative breast cancer, the PARPis talazoparib and olaparib have demonstrated benefit over standard chemotherapy. In ovarian cancer, olaparib, niraparib or rucaparib can be used as monotherapy in frontline maintenance. Olaparib and bevacizumab as a combination can also be used as frontline maintenance. In the relapsed platinum-sensitive setting, olaparib, niraparib and rucaparib are effective maintenance options in BRCAm patients who are PARPi naive. Both olaparib and rucaparib are effective options in BRCAm metastatic castrate-resistant prostate cancer (mCRPC). Evidence also exists for the benefit of PARPi combinations in mCRPC. In metastatic pancreatic cancer, olaparib can be used in gBRCAm patients who are responding to platinum chemotherapy. However, there may be a development of PARPi resistance. Understanding the pathophysiology that contributes to such resistance may allow the development of novel therapeutics. Combination therapy appears to have promising results in emerging trials. Seeking avenues for subsidised genetic testing can reduce the total costs of cancer management, leading to improve detection rates. Conclusion: Identifying breast, ovarian, pancreatic and prostate cancer patients with gBRCAm plays a crucial predictive role in selecting those who will benefit significantly from PARPi therapy. The use of PARPi in gBRCAm HBOC-related cancers has resulted in significant survival benefits. Beyond BRCA1/2, HRR gene assessment and the consideration of other cancer predisposition syndromes may allow more patients to be eligible for and benefit from targeted therapies.
3D Scanning of Surgical Specimens to Improve Communication Between Surgeon and Pathologist: A Head and Neck Pilot Study
Authors: Rampinelli Vittorio , Mattavelli Davide , Borsetto Daniele , Kennedy Robert , Ferrari Marco , Savardi Mattia , Deganello Alberto , Nicolai Piero , Doglietto Francesco , Piazza Cesare , Signoroni Alberto
Published: December 2024

Background/Objectives Successful surgical outcomes in head and neck cancer depend on the accurate identification of resection margins. Effective communication between surgeons and pathologists is critical, but is often jeopardised by challenges in sampling and orienting anatomically complex specimens. This pilot study aims to evaluate the use of 3D scanning of surgical specimens as a tool to improve communication and optimise the pathology sampling process. Methods Two structured light 3D scanners, Cronos Dual and Optor Lab, were used to acquire 3D models of anatomical specimens in both preclinical (cadaver specimens) and clinical contexts (fresh surgical specimens). Surgical margins and critical points were annotated on the digital models. Acquisition quality, operating times and subjective feedback from surgeons and pathologists were evaluated. Results The Optor Lab scanner demonstrated superior image quality, shorter processing times and a more user-friendly interface than the Cronos Dual. Key challenges identified included specimen geometry, surface reflectivity and tissue stability. Feedback from both surgeons and pathologists was positive, highlighting the potential of 3D models to improve the surgical-pathology workflow. Conclusions 3D scanning of surgical specimens provides accurate, detailed digital models that can significantly enhance communication between surgeons and pathologists. This technology shows promise in improving pathological staging and clinical decision making, with further studies required to validate its integration into routine practice.