bluuebunny/crossref_metadata_2025 huggingface dataset:
Thermodynamic and Economic Analysis of Cargo Boil-Off Gas Re-Liquefaction Systems for Ammonia-Fueled LCO2 Carriers
Authors: Kim Jun-Seong , Kim Do-Yeop
Published: September 2024

In this study, cargo boil-off gas (BOG) re-liquefaction systems for ammonia-fueled liquefied carbon dioxide (LCO2) carriers were analyzed. These systems use cold energy from ammonia to reliquefy the CO2 BOG. In this study, a system that can completely reliquefy the CO2 BOG at all engine loads using only one heat exchanger is proposed, instead of the existing cascade system that requires multiple components. R744, which has a low global warming potential, was used as the working fluid for the refrigeration cycle in the CO2 BOG re-liquefaction system. The organic Rankine cycle (ORC) was used to reduce the net power consumption of the system. The existing and proposed systems were classified into Case 1 (existing system), Case 2 (our proposed system), and Case 3 (Case 2 combined with an ORC). Thermodynamic and economic analyses were conducted. Case 2 is a system with a simpler configuration than Case 1, but it has a similar thermodynamic performance. Case 3 has a higher exergy destruction rate than Cases 1 and 2, owing to the ORC, but it can significantly reduce the net power consumption. The economic analysis shows that Cases 2 and 3 reduce the total annual costs by 17.4% and 20.1%, respectively, compared to Case 1. The proposed systems are significantly more advantageous for long-term operation than existing systems.
First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations: Mathematical Framework and Illustrative Application to the Nordheim–Fuchs Reactor Safety Model
Authors: Cacuci Dan Gabriel
Published: September 2024

This work introduces the mathematical framework of the novel “First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations” (1st-CASAM-NODE) which yields exact expressions for the first-order sensitivities of NODE decoder responses to the NODE parameters, including encoder initial conditions, while enabling the most efficient computation of these sensitivities. The application of the 1st-CASAM-NODE is illustrated by using the Nordheim–Fuchs reactor dynamics/safety phenomenological model, which is representative of physical systems that would be modeled by NODE while admitting exact analytical solutions for all quantities of interest (hidden states, decoder outputs, sensitivities with respect to all parameters and initial conditions, etc.). This work also lays the foundation for the ongoing work on conceiving the “Second-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations” (2nd-CASAM-NODE) which aims at yielding exact expressions for the second-order sensitivities of NODE decoder responses to the NODE parameters and initial conditions while enabling the most efficient computation of these sensitivities.
The Plasma Membrane H+-ATPase Promoter Driving the Expression of FADX Enables Highly Efficient Production of Punicic Acid in Rhodotorula toruloides Cultivated on Glucose and Crude Glycerol
Authors: Krajciova Daniela , Holic Roman
Published: September 2024

Punicic acid (PuA) is a conjugated fatty acid with a wide range of nutraceutical properties naturally present in pomegranate seed oil. To meet the rising demand for pomegranate seed oil, a single-cell oil enriched in PuA provides a sustainable biomass-derived alternative. This study describes the production of a PuA-enriched single-cell oil through the engineering of the red yeast Rhodotorula toruloides grown in glucose and a low-cost substrate, crude glycerol. The gene for Punica granatum fatty acid conjugase, PgFADX, was randomly integrated into the genome of R. toruloides without disrupting the carotenoid synthesis. In shake flask studies, the effects of three promoters (PPGI1, PNAR1, and PPMA1) on PuA production were evaluated. PuA titers of 105.77 mg/L and 72.81 mg/L were obtained from engineered cells expressing PgFADX from the PPMA1 promoter cultivated for 72 h in glucose and for 168 h in crude glycerol, respectively. Furthermore, the detailed lipid analysis revealed a high enrichment PuA in the triacylglycerol lipid structures, even without substantial modifications to the metabolic pathways. This report demonstrates the high potential of R. toruloides in the upcycling of a low-cost substrate, crude glycerol, into a value-added product such as PuA. The findings support the feasibility of using engineered R. toruloides for sustainable production of PuA-enriched single-cell oil.
The Precision of Colour Doppler Ultrasonography Combined with Dynamic Infrared Thermography in Perforator Mapping for Deep Inferior Epigastric Perforator Flap Breast Reconstruction
Authors: Orădan Alex Victor , Georgescu Alexandru Valentin , Jolobai Andrei Nicolae , Pașca Gina Iulia , Corpodean Alma Andreea , Juncan Teodora Paula , Ilie-Ene Alexandru , Muntean Maximilian Vlad
Published: September 2024

Background: Perforator mapping is a mandatory tool for the preoperative planning of a microsurgical free flap, especially in breast reconstruction. Numerous methods for mapping have been described. In this study, we investigate the combined use of Dynamic Infrared Thermography (DIRT) and Colour Doppler Ultrasonography (CDUS) only to see whether it can eliminate the need for Computed Tomography Angiography (CTA). Methods: A prospective study was conducted on 33 patients with deep inferior epigastric perforator (DIEP) flaps for breast reconstruction. DIRT, followed by CDUS and CTA, was performed preoperatively and perforators were confirmed intraoperatively. Results: From 135 hot spots found on DIRT, 123 perforators were confirmed by CDUS (91.11%). A total of 86.66% of the perforator vessels detected on CTA have their correspondent on DIRT, while 95.12% have their correspondent on CDUS. No statistically significant difference (p > 0.05) was found comparing DIRT vs. CTA and CDU vs. CTA. The average DIRT time was 121.54 s and CDUS 232.09 s. The mean sensitivity for DIRT was 95.72% and 93.16% for CDUS. Conclusion: DIRT combined with CDUS can precisely and efficiently identify suitable perforators without the need for CTA in DIEP breast reconstruction.
Minimally Invasive Therapies for Knee Osteoarthritis
Authors: Osuala Uchenna , Goh Megan H. , Mansur Arian , Smirniotopoulos John B. , Scott Arielle , Vassell Christine , Yousefi Bardia , Jain Neil K. , Sag Alan A. , Lax Allison , Park Kevin W. , Kheradi Alexander , Sapoval Marc , Golzarian Jafar , Habibollahi Peiman , Ahmed Osman , Young Shamar , Nezami Nariman
Published: September 2024

Knee osteoarthritis (KOA) is a musculoskeletal disorder characterized by articular cartilage degeneration and chronic inflammation, affecting one in five people over 40 years old. The purpose of this study was to provide an overview of traditional and novel minimally invasive treatment options and role of artificial intelligence (AI) to streamline the diagnostic process of KOA. This literature review provides insights into the mechanisms of action, efficacy, complications, technical approaches, and recommendations to intra-articular injections (corticosteroids, hyaluronic acid, and plate rich plasma), genicular artery embolization (GAE), and genicular nerve ablation (GNA). Overall, there is mixed evidence to support the efficacy of the intra-articular injections that were covered in this study with varying degrees of supported recommendations through formal medical societies. While GAE and GNA are more novel therapeutic options, preliminary evidence supports their efficacy as a potential minimally invasive therapy for patients with moderate to severe KOA. Furthermore, there is evidentiary support for the use of AI to assist clinicians in the diagnosis and potential selection of treatment options for patients with KOA. In conclusion, there are many exciting advancements within the diagnostic and treatment space of KOA.
Analysis of the Changes and Causes of Runoff and Sediment Load in the Middle Reaches of the Yellow River from 1950 to 2022
Authors: Liu Huanyong , Chen Yin , Du Pengfei , Wang Yangui , Zhao Ying , Qu Liqin
Published: September 2024

Frequent soil erosion disasters in the middle reaches of the Yellow River (MRYR) have a profound effect on the sediment load of the river. This paper addresses the intertwined effects of human activities and climate change on river runoff and sediment load. Therefore, runoff and sediment loads from hydrological stations along the main and tributary rivers within the MRYR were used. The Mann–Kendall (M–K) trend test and the double mass curve analysis, among other analytical tools, were used to examine the erosion patterns of these rivers from 1950 to 2022, as well as the main factors driving these changes. The results showed that the runoff depth of the Yan River tended to decrease, and there was a significant decrease in the mainstream and nine other tributaries, with a significant decrease in the sediment transport modulus for both the mainstream and tributaries. In the main river, human activities contributed between 69.99% and 94.69% to the runoff and between 88.52% and 98.49% to the sediment load, while in the tributaries, the contribution of human activities was greater. The annual runoff and annual sediment load in the MRYR showed a decreasing trend, with a discernible impact of human activities. The results of this research are of great significance for erosion control and the restoration of the ecological balance in the Yellow River Basin.
Mothers’ Education, Family Language Policy, and Hebrew Plural Formation among Bilingual and Monolingual Children
Authors: Reznick Julia , Armon-Lotem Sharon
Published: September 2024

The present study examines the role of maternal years of education and family language policy (FLP) in monolingual and bilingual children’s acquisition of Hebrew plural morphology. The case of the Hebrew plural system is especially interesting when examining the influence of the above factors on morphological performance, given that it demands both a mastery of morphological rules (characterized by a high degree of transparency in Hebrew) and a lexicon-based mastery of exceptions. Participants were 146 children, 74 bilinguals (heritage language: Russian; societal language: Hebrew) and 72 Hebrew monolinguals, aged 5–8 (kindergarten, first grade, and second grade), from the same schools and neighborhoods. A Hebrew pluralization, sentence completion task that included 99 items from two categories: fully regular words whose plural forms are based on a morphological rule and non-regular words whose plural forms (also) require lexical and/or morpho-lexical knowledge. The parents of the bilingual children filled out a questionnaire with questions on background variables (e.g., maternal education) and language practice in both languages by different family members and language use at home. The findings indicated that maternal education contributes differently and distinctly to the linguistic performance of children from different linguistic backgrounds. For monolingual children, an increase in the number of years of maternal education is associated with an increase in the likelihood of success in the lexical and morpho-lexical aspects of Hebrew. By contrast, for bilingual children, no significant contribution of maternal education to children’s performance was found. For bilingual participants, their performance in the lexical and morpho-lexical aspects of the Hebrew plural system was consistently influenced by FLP across all school settings—increased use of Russian at home was associated with a lower likelihood of success in the societal language. FLP characteristics were not found to be related to maternal education. These findings have clinical implications for both assessment and intervention processes when working with bilingual children.
Some Notes on Left-Dislocation in the Homilies of Wulfstan
Authors: Bartnik Artur
Published: September 2024

In this paper, I show how pragmatics and syntax are interconnected in Old English by examining the left-dislocation system in Wulfstan’s homilies. Syntactically, this article argues that left-dislocation fits in nicely with the system found in other Old English texts, despite certain superficial structural differences. The unexpected high number of demonstrative resumptives is accounted for by the accumulation of formulaic structures in one homily. Pragmatically, LFD performs a number of discourse functions. The main function is a generalizing one, as LFD introduces new topics in the discourse. This case study also shows that other functions traditionally linked with LFD can be found in Wulfstan’s texts. For instance, demonstrative resumptives show some degree of topic shifting and can be accompanied by the contrastive function. By contrast, personal pronoun resumptives can mark topic continuity with specific referents. Since the corpus data are necessarily limited because only one file from the YCOE is examined, some claims are not verifiable. A good example is the assumption found in the literature that personal pronoun resumptives in LFD tend to land low in the clause.
Understanding Macrophage Complexity in Metabolic Dysfunction-Associated Steatotic Liver Disease: Transitioning from the M1/M2 Paradigm to Spatial Dynamics
Authors: Ahamed Forkan , Eppler Natalie , Jones Elizabeth , Zhang Yuxia
Published: September 2024

Metabolic dysfunction-associated steatotic liver disease (MASLD) encompasses metabolic dysfunction-associated fatty liver (MASL) and metabolic dysfunction-associated steatohepatitis (MASH), with MASH posing a risk of progression to cirrhosis and hepatocellular carcinoma (HCC). The global prevalence of MASLD is estimated at approximately a quarter of the population, with significant healthcare costs and implications for liver transplantation. The pathogenesis of MASLD involves intrahepatic liver cells, extrahepatic components, and immunological aspects, particularly the involvement of macrophages. Hepatic macrophages are a crucial cellular component of the liver and play important roles in liver function, contributing significantly to tissue homeostasis and swift responses during pathophysiological conditions. Recent advancements in technology have revealed the remarkable heterogeneity and plasticity of hepatic macrophage populations and their activation states in MASLD, challenging traditional classification methods like the M1/M2 paradigm and highlighting the coexistence of harmful and beneficial macrophage phenotypes that are dynamically regulated during MASLD progression. This complexity underscores the importance of considering macrophage heterogeneity in therapeutic targeting strategies, including their distinct ontogeny and functional phenotypes. This review provides an overview of macrophage involvement in MASLD progression, combining traditional paradigms with recent insights from single-cell analysis and spatial dynamics. It also addresses unresolved questions and challenges in this area.
Surface Topography Analysis of BK7 with Different Roughness Nozzles Using an Abrasive Water Jet
Authors: Pan Haihong , Chen Xuhong , Chen Lin , You Hui , Liang Xubin
Published: September 2024

This study investigated the effect of abrasive water jet (AWJ) kinematic parameters, such as jet traverse speed and water pressure, abrasive mass flow rate, and standoff distance on the surface of BK7. Nozzle A reinforced with a 100 nm particle-sized coating of titanium alloy has more wear resistance compared to Nozzle B coated with nothing. Through analysis of variance and measurement of BK7 surface quality, it is concluded that the grooving and plowing caused by abrasive particles and irregularities in the abrasive water jet machined surface with respect to traverse speed (3, 7.2, 7.8, and 9 mm/min), abrasive flow rate (7 L/min and 10 L/min, 80 mesh) and water pressure (2 and 3 MPa) were investigated using surface topography measurements. The surface roughness (15.734 nm) of BK7 results show that a nozzle coated with titanium alloy has more hardness, which protects BK7 undamaged and super-smooth. The values of selected surface roughness profile parameters—average roughness (Ra) and maximum height of PV (maximum depth of peak and valleys)—reveal a comparatively smooth BK7 surface in composites reinforced with 2% titanium alloy in the nozzle weight at a traverse speed of 7.8 mm/min. Moreover, abrasive water jet machining at high water pressure (3 MPa) produced better surface quality due to material removal and effective cleaning of lens fragmentation and abrasive particles from the polishing zone compared to a lower water pressure (2 MPa), low traverse speed (5 mm/min), and low abrasive mass flow rate (200 g/min).
Cold-Source Composite Welding Repair of 9Cr2Mo Thick-Walled Parts: Microstructure, Mechanical Properties, and Finite Element Simulation
Authors: Yin Danqing , Zhao Haoqi , Wang Yonglei , Ma Ning , Chang Junming , Wang Meng , Dong Jinglong
Published: September 2024

The restoration of large support rollers poses an industrial challenge due to the high energy consumption of traditional repair methods. Consequently, a novel approach for repairing support rollers has been introduced and tested on thick-walled components. Finite element simulations aided the study of welding repairs for large thick-walled components, examining element distribution, microstructure, mechanical properties, and residual stress distribution across various processes. The results indicate that employing ABAQUS2023 finite element software to analyze stress variations under different working conditions, the Dynamically Controlled Low-Stress No-Distortion method effectively mitigates residual stresses both during and post welding, reducing average transverse residual stresses by 14.5% and average longitudinal residual stresses in the weld zone by 29.1%. The Dynamically Controlled Low-Stress No-Distortion method narrows the high-temperature range of the heat source, consequently decreasing the size of the heat-affected zone by 33.3% compared to conventional welding. The microstructure featured dendrites and equiaxed columnar crystals, with the Dynamically Controlled Low-Stress No-Distortion method capable of grain refinement, transforming some equiaxed columnar crystals into cellular structures. As grains were refined, microhardness improved, with the covering layer’s microhardness rising by 14.68%. A comparison between simulated and measured values of lateral and longitudinal residual stresses at corresponding points revealed discrepancies of 14.6% and 20.5% in accuracy, respectively.
Alkylated MXene–Carbon Nanotube/Microfiber Composite Material with Flexible, Superhydrophobic, and Sensing Properties
Authors: Wang Siyu , Xia Dawei , Xu Xinyu , Song Haoyang , Qing Yongquan
Published: September 2024

Superhydrophobic strain sensors are highly promising for human motion and health monitoring in wet environments. However, the introduction of superhydrophobicity inevitably alters the mechanical and conductive properties of these sensors, affecting sensing performance and limiting behavior monitoring. Here, we developed an alkylated MXene–carbon nanotube/microfiber composite material (AMNCM) that is simultaneously flexible, superhydrophobic, and senses properties. Comprising a commercially available fabric substrate that is coated with a functional network of alkylated MXene/multi-walled carbon nanotubes and epoxy–silicone oligomers, the AMNCM offers high mechanical and chemical robustness, maintaining high conductivity and strain sensing properties. Furthermore, the AMNCM strain sensor achieves a gauge factor of up to 51.68 within a strain range of 80–100%, and exhibits rapid response times (125 ms) and long-term stability under cyclic stretching, while also displaying superior direct/indirect anti-fouling capabilities. These properties position the AMNCM as a promising candidate for next-generation wearable devices designed for advanced environmental interactions and human activity monitoring.
Investigation of Oxide Layer Development of X6CrNiNb18-10 Stainless Steel Exposed to High-Temperature Water
Authors: Veile Georg , Hirpara Radhika , Lackmann Simon , Weihe Stefan
Published: September 2024

The oxide layer development of X6CrNiNb18-10 (AISI 347) during exposure to high-temperature water has been investigated. Stainless steels are known to form a dual oxide layer in corrosive environments. The secondary Fe-rich oxide layer has no significant protective effect. In contrast, the primary Cr-rich oxide layer is known to reach a stabilized state, protecting the base metal from further oxidation. This study’s purpose was to determine the development of oxide layer dimensions over exposure time using SEM, TEM and EDX line scans. While a parabolic development of Cr in the protective primary layer and Fe in the secondary layer was observed, the dimensions of the Ni layer remained constant. Ni required the presence of a pronounced Fe-rich secondary layer before being able to reside on the outer secondary layer. With increasing immersion time, the Ni element fraction surpassed the Cr element fraction in the secondary layer. Oxide growth on the secondary layer could be observed. After 480 h, nearly the entire surface was covered by the outer oxide layer. In the metal matrix, no depletion of Cr or Ni could be observed over time; however, an increased presence of Cr and Ni in the primary layer was found at the expense of Fe content. The Nb-stabilized stainless steel was subject to the formation of Niobium pentoxide (Nb2O5), with the quantity and magnitude of element fraction increasing over exposure time.
Dynamic Response of Gradient Aluminum Foam Sandwich Tubes under External Explosive Loads
Authors: Li Ting , Zhao Jiangping , Yu Xuehui , Wang Anshuai , Chen Shangjun , Ni Na , Shao Zhushan
Published: September 2024

In this paper, we numerically investigate the dynamic response and explosion resistance of gradient aluminum foam sandwich tubes subjected to external blast loads. Based on 3D-Voronoi technology, we construct density-graded aluminum foam cores to systematically explore the influence of core density distribution, density gradient, and average relative density on the protective performance of these structures. Our primary objective is to identify optimal design parameters that maximize explosion mitigation capabilities while balancing energy absorption and specific energy absorption capacities. The research results show that a positive gradient core configuration exhibits superior anti-explosion performance, significantly outperforming its uniform and negatively graded counterparts, particularly when the gradient value is substantial. For the positive gradient cores, an increase in the gradient value leads to a corresponding enhancement in explosion resistance. Conversely, in negatively graded cores, a higher gradient value diminishes the anti-explosion performance. Furthermore, while augmenting the relative density of the core layer does improve the overall explosion resistance of the sandwich tube, it comes at the cost of reduced energy absorption and specific energy absorption capabilities, highlighting the need for a delicate balance among these competing factors.
Polarization-Doped InGaN LEDs and Laser Diodes for Broad Temperature Range Operation
Authors: Aktas Muhammed , Grzanka Szymon , Marona Łucja , Goss Jakub , Staszczak Grzegorz , Kafar Anna , Perlin Piotr
Published: September 2024

This work reports on the possibility of sustaining a stable operation of polarization-doped InGaN light emitters over a particularly broad temperature range. We obtained efficient emission from InGaN light-emitting diodes between 20 K and 295 K and from laser diodes between 77 K and 295 K under continuous wave operation. The main part of the p-type layers was fabricated from composition-graded AlGaN. To optimize injection efficiency and improve contact resistance, we introduced thin Mg-doped layers of GaN (subcontact) and AlGaN (electron blocking layer in the case of laser diodes). In the case of LEDs, the optical emission efficiency at low temperatures seems to be limited by electron overshooting through the quantum wells. For laser diodes, a limiting factor is the freeze-out of the magnesium-doped electron blocking layer for temperatures below 160 K. The GaN:Mg subcontact layer works satisfyingly even at the lowest operating temperature (20 K).
Use of Biomass Bottom Ash as an Alternative Solution to Natural Aggregates in Concrete Applications: A Review
Authors: Schlupp Florian , Page Jonathan , Djelal Chafika , Libessart Laurent
Published: September 2024

Biomass bottom ash (BBA) is a by-product of the energy industry and is produced from biomass-fired thermal power plants. They represent the coarsest fraction of the recovered ash and are mostly landfilled. Several researchers have investigated the feasibility of the use of BBA as a replacement for natural aggregates in cementitious material. The utilisation of BBA in the manufacturing of concrete provides an economic and ecological way to upcycle it. At the same time, its use conserves natural resources and promotes sustainability. This review article first presents the chemical, mineralogical and physical properties of BBA, to highlight the possible effects on cementitious materials and the interest in valorising them as a building material. Secondly, the focus is on the utilisation of BBA incorporated in place of natural aggregates used in the manufacturing of concrete. This review investigates the multi-physical properties of concrete manufactured with the partial incorporation of BBA. This substitution leads to decreased workability, which can be limited by the use of admixtures. In the hardened state, a reduction in the mechanical properties is shown with BBA replacement. However, many experimental works show that BBA can be used in appropriate proportions to maintain the specified properties of the concrete.
Parameter Optimization of a Surface Mechanical Rolling Treatment Process to Improve the Surface Integrity and Fatigue Property of FV520B Steel by Machine Learning
Authors: Zhou Yongxin , Xing Zheng , Zhuang Qianduo , Sun Jiao , Chu Xingrong
Published: September 2024

Surface integrity is a critical factor that affects the fatigue resistance of materials. A surface mechanical rolling treatment (SMRT) process can effectively improve the surface integrity of the material, thus enhancing the fatigue property. In this paper, an analysis of variance (ANOVA) and signal-to-noise ratio (SNR) are performed by orthogonal experimental design with SMRT parameters as variables and surface integrity indicators as optimization objectives, and the support vector machine-active learning (SVM-AL) model is proposed based on machine learning theory. The entire model includes three rounds of AL processes. In each round of the AL process, the SMRT parameters with relative average deviation and high output values from cross-validation are selected for the additional experimental supplement. The results show that the prediction accuracy and generalization ability of the SVM-AL model are significantly improved compared to the support vector machine (SVM) model. A fatigue test was also carried out, and the fatigue property of the SMRT specimens predicted by the SVM-AL model is also higher than that of the other specimens.
Influence of Test Method on the Determination of Tensile Strength Perpendicular to Grain of Timber for Civil Construction
Authors: Nogueira Rodrigo de Souza , Moritani Fabiana Yukiko , Christoforo André Luis , Monteiro Sergio Neves , de Azevedo Afonso Rangel Garcez , dos Santos Herisson Ferreira , Lahr Francisco Antonio Rocco
Published: September 2024

Tensile perpendicular to grain is an important mechanical property in the design of joints in timber structures. However, according to the standards, this strength can be determined using at least two different methods: uniaxial tensile and three-point static bending. In this context, the present paper aims to investigate the influence of these test methods on the determination of tensile strength perpendicular to grain of wood used in civil construction timber. Three wood species from Brazilian planted forests (Pinus spp., Eucalyptus saligna, and Corymbia citriodora) were used in this investigation. Twelve specimens of each species were used for each test method investigated. Moreover, a statistical analysis was performed to propose an adjustment to the equation of the Code of International Organization for Standardization 13910:2014 for the three-point bending test. Tensile strength values perpendicular to grain obtained from the uniaxial tensile test were significantly higher than those determined by the three-point bending test. It is proposed that the tensile strength perpendicular to grain can be determined more precisely with adoption of coefficient 5.233 in the term [(3.75·Fult)/b·Lh] of the equation specified by the Code of International Organization for Standardization 13910:2014 for the three-point bending test.
Influence of Check Gate Construction on Operation of Check Gate in Ship Lock
Authors: Kulka Jozef , Mantič Martin , Kopas Melichar , Fabian Michal , Grega Robert , Kaššay Peter , Siman Marián
Published: September 2024

The subject of investigation presented in this article is a filling and draining system of the ship lock installed in the Gabčíkovo Waterworks. This article describes the operation and construction of the special regulation segments, i.e., the check gates that are situated in the ship locks. After the failure and replacement of the original check gate with the new, improved one, the strain gauge sensors were applied to the new check gate in order to determine stress distribution on the segment surface as well as the loading of the actuating arms. The application method and application places of the strain gauge sensors are described in detail. The performed measurements detected the occurrence of additional motional resistances during the opening and closing of the check gate. These resistances caused a partial non-functionality of the original check gate actuating mechanism.
A Data Science and Sports Analytics Approach to Decode Clutch Dynamics in the Last Minutes of NBA Games
Authors: Sarlis Vangelis , Gerakas Dimitrios , Tjortjis Christos
Published: September 2024

This research investigates clutch performance in the National Basketball Association (NBA) with a focus on the final minutes of contested games. By employing advanced data science techniques, we aim to identify key factors that enhance winning probabilities during these critical moments. The study introduces the Estimation of Clutch Competency (EoCC) metric, which is a novel formula designed to evaluate players’ impact under pressure. Examining player performance statistics over twenty seasons, this research addresses a significant gap in the literature regarding the quantification of clutch moments and challenges conventional wisdom in basketball analytics. Our findings deal valuable insights into player efficiency during the final minutes and its impact on the probabilities of a positive outcome. The EoCC metric’s validation through comparison with the NBA Clutch Player of the Year voting results demonstrates its effectiveness in identifying top performers in high-pressure situations. Leveraging state-of-the-art data science techniques and algorithms, this study analyzes play data to uncover key factors contributing to a team’s success in pivotal moments. This research not only enhances the theoretical understanding of clutch dynamics but also provides practical insights for coaches, analysts, and the broader sports community. It contributes to more informed decision making in high-stakes basketball environments, advancing the field of sports analytics.
Show Me Once: A Transformer-Based Approach for an Assisted-Driving System
Authors: Pacini Federico , Dini Pierpaolo , Fanucci Luca
Published: September 2024

Operating a powered wheelchair involves significant risks and requires considerable cognitive effort to maintain effective awareness of the surrounding environment. Therefore, people with significant disabilities are at a higher risk, leading to a decrease in their social interactions, which can impact their overall health and well-being. Thus, we propose an intelligent driving-assistance system that innovatively uses Transformers, typically employed in Natural Language Processing, for navigation and a retrieval mechanism, allowing users to specify their destinations using natural language. The system records the areas visited and enables users to pinpoint these locations through descriptions, which will be considered later in the retrieval phase. Taking a foundational model, the system is fine-tuned with simulated data. The preliminary results demonstrate the system’s effectiveness compared to non-assisted solutions and its readiness for deployment on edge devices.
Fuzzy Multi-Objective, Multi-Period Integrated Routing–Scheduling Problem to Distribute Relief to Disaster Areas: A Hybrid Ant Colony Optimization Approach
Authors: Niksirat Malihe , Saffarian Mohsen , Tayyebi Javad , Deaconu Adrian Marius , Spridon Delia Elena
Published: September 2024

This paper explores a multi-objective, multi-period integrated routing and scheduling problem under uncertain conditions for distributing relief to disaster areas. The goals are to minimize costs and maximize satisfaction levels. To achieve this, the proposed mathematical model aims to speed up the delivery of relief supplies to the most affected areas. Additionally, the demands and transportation times are represented using fuzzy numbers to more accurately reflect real-world conditions. The problem was formulated using a fuzzy multi-objective integer programming model. To solve it, a hybrid algorithm combining a multi-objective ant colony system and simulated annealing algorithm was proposed. This algorithm adopts two ant colonies to obtain a set of nondominated solutions (the Pareto set). Numerical analyses have been conducted to determine the optimal parameter values for the proposed algorithm and to evaluate the performance of both the model and the algorithm. Furthermore, the algorithm’s performance was compared with that of the multi-objective cat swarm optimization algorithm and multi-objective fitness-dependent optimizer algorithm. The numerical results demonstrate the computational efficiency of the proposed method.
A Particle Swarm Optimization-Based Interpretable Spiking Neural Classifier with Time-Varying Weights
Authors: Thousif Mohammed , Dora Shirin , Sundaram Suresh
Published: September 2024

This paper presents an interpretable, spiking neural classifier (IpT-SNC) with time-varying weights. IpT-SNC uses a two-layered spiking neural network (SNN) architecture in which weights of synapses are modeled using amplitude-modulated, time-varying Gaussian functions. Self-regulated particle swarm optimization (SRPSO) is used to update the amplitude, width, and centers of the Gaussian functions and thresholds of neurons in the output layer. IpT-SNC has been developed to improve the interpretability of spiking neural networks. The time-varying weights in IpT-SNC allow us to describe the rationale behind predictions in terms of specific input spikes. The performance of IpT-SNC is evaluated on ten benchmark datasets in the UCI machine learning repository and compared with the performance of other learning algorithms. According to the performance results, IpT-SNC enhances classification performance on testing datasets from a minimum of 0.5% to a maximum of 7.7%. The significance level of IpT-SNC with other learning algorithms is evaluated using statistical tests like the Friedman test and the paired t-test. Furthermore, on the challenging real-world BCI (Brain Computer Interface) competition IV dataset, IpT-SNC outperforms current classifiers by about 8% in terms of classification accuracy. The results indicate that IpT-SNC has better generalization performance than other algorithms.
A Multi-Strategy Enhanced Hybrid Ant–Whale Algorithm and Its Applications in Machine Learning
Authors: Gao Chenyang , He Yahua , Gao Yuelin
Published: September 2024

Based on the principles of biomimicry, evolutionary algorithms (EAs) have been widely applied across diverse domains to tackle practical challenges. However, the inherent limitations of these algorithms call for further refinement to strike a delicate balance between global exploration and local exploitation. Thus, this paper introduces a novel multi-strategy enhanced hybrid algorithm called MHWACO, which integrates a Whale Optimization Algorithm (WOA) and Ant Colony Optimization (ACO). Initially, MHWACO employs Gaussian perturbation optimization for individual initialization. Subsequently, individuals selectively undertake either localized exploration based on the refined WOA or global prospecting anchored in the Golden Sine Algorithm (Golden-SA), determined by transition probabilities. Inspired by the collaborative behavior of ant colonies, a Flight Ant (FA) strategy is proposed to guide unoptimized individuals toward potential global optimal solutions. Finally, the Gaussian scatter search (GSS) strategy is activated during low population activity, striking a balance between global exploration and local exploitation capabilities. Moreover, the efficacy of Support Vector Regression (SVR) and random forest (RF) as regression models heavily depends on parameter selection. In response, we have devised the MHWACO-SVM and MHWACO-RF models to refine the selection of parameters, applying them to various real-world problems such as stock prediction, housing estimation, disease forecasting, fire prediction, and air quality monitoring. Experimental comparisons against 9 newly proposed intelligent optimization algorithms and 9 enhanced algorithms across 34 benchmark test functions and the CEC2022 benchmark suite, highlight the notable superiority and efficacy of MSWOA in addressing global optimization problems. Finally, the proposed MHWACO-SVM and MHWACO-RF models outperform other regression models across key metrics such as the Mean Bias Error (MBE), Coefficient of Determination (R2), Mean Absolute Error (MAE), Explained Variance Score (EVS), and Median Absolute Error (MEAE).
Predicting Extension of Time and Increasing Contract Price in Road Infrastructure Projects Using a Sugeno Fuzzy Logic Model
Authors: Senić Aleksandar , Dobrodolac Momčilo , Stojadinović Zoran
Published: September 2024

Road infrastructure plays a crucial role in the development of countries, significantly influencing economic growth, social progress, and environmental sustainability. Major infrastructure projects are frequently challenged by substantial risks and uncertainties, leading to delays, budget overruns, and compromised quality. These issues can undermine the economic viability and efficiency of projects, making effective risk management essential for minimizing negative impacts and ensuring project success. For these reasons, a study was conducted using a Sugeno fuzzy logic system applied to completed projects. The resulting model is based on 10 project characteristics and provides highly accurate predictions for Extension of Time (EoT) and Increasing Contract Price (ICP). By utilizing this model, project management can be significantly improved through more accurate forecasting of potential delays and cost overruns. The high precision of the Sugeno fuzzy logic system enables better risk assessment and proactive decision-making, allowing project managers to implement targeted strategies to mitigate risks and optimize project outcomes.
Stability and Hopf Bifurcation Analysis of a Predator–Prey Model with Weak Allee Effect Delay and Competition Delay
Authors: Dong Yurong , Liu Hua , Wei Yumei , Zhang Qibin , Ma Gang
Published: September 2024

The purpose of this paper is to study a predator–prey model with Allee effect and double time delays. This research examines the dynamics of the model, with a focus on positivity, existence, stability and Hopf bifurcations. The stability of the periodic solution and the direction of the Hopf bifurcation are elucidated by applying the normal form theory and the center manifold theorem. To validate the correctness of the theoretical analysis, numerical simulations were conducted. The results suggest that a weak Allee effect delay can promote stability within the model, transitioning it from instability to stability. Nevertheless, the competition delay induces periodic oscillations and chaotic dynamics, ultimately resulting in the population’s collapse.
Diagnostic Workup in IgE-Mediated Allergy to Asteraceae Weed Pollen and Herbal Medicine Products in Europe
Authors: Preda Mariana , Smolinska Sylwia , Popescu Florin-Dan
Published: September 2024

Anemophilous weeds from the Asteraceae family are highly allergenic and represent a significant source of aeroallergens in late summer and autumn. Ragweed and mugwort pollen allergies have become a significant health burden in Europe. Some people with respiratory allergies to weed pollen may also suffer hypersensitivity reactions to herbal medicines obtained from certain cross-reactive plants in the Compositae family, such as chamomile, marigold, and purple coneflower. General physicians, ear, nose, and throat (ENT) specialists, and pulmonologists need to be familiar with the diagnostic tests used by allergists in clinical practice to support accurate diagnosis in such patients. Allergists must also be aware of the suggestions of the European Medicines Agency (EMA)’s Herbal Medicinal Products Committee and the broad spectrum of herbal therapies to educate their patients about potential risks.
Cardiac Paraganglioma in a Young Patient Presents with Angina-like Symptoms: A Case Report and Literature Review
Authors: Alnahar Batool Wael , Almiqlash Bushray , Hassanain Hala , Al-Najjar Ebtesam , Esmail Abdullah , Zainab Asma , Ratnani Iqbal
Published: September 2024

Paragangliomas are rare extra-adrenal neuroendocrine tumors originating from chromaffin tissue that present a diagnostic and therapeutic challenge due to their diverse clinical manifestations and low incidence. While these tumors often manifest as catecholamine-secreting functional tumors, their clinical presentation can vary, leading to delayed diagnosis and challenging management. This study presents the case of a 22-year-old patient with cardiac paraganglioma who initially presented with angina-like symptoms, highlighting the importance of considering this rare condition in young individuals with nonspecific complaints. Diagnostic imaging, including transthoracic echocardiography, CT angiography, and MRI, played a crucial role in identifying the tumor’s location and vascularization. Surgical excision, including pulmonary artery graft and CABG, was the primary management approach, which was accompanied by intraoperative complications that later led to CCU admission, followed by postoperative complications, ultimately leading to the patient’s death. This case highlights the significance of early recognition and management of complications following a surgical approach to treat paragangliomas.
Analysis of Venous Insufficiency Risk Factors and Demographic Characteristics among Nurses: An Analytical Cross-Sectional Study
Authors: Avcı Işık Sevcan , Budak Ertürk Elif , Akay Hakkı Tankut , Karahan Azize , Akpınar Denizhan , Karslıoğlu Arif Okay
Published: September 2024

Background and Objectives: Chronic venous insufficiency negatively affects the quality of life and reduces the job performance of nurses, who are important components of the healthcare system. The aim of this study was to assess the risk factors of venous insufficiency according to demographic characteristics among nurses working at a foundation university hospital. Materials and Methods: This study used an analytical cross-sectional approach. The sample consisted of 100 nurses working at a foundation university hospital in a metropolitan city of Turkey. Data were collected using a demographic characteristics form, VEINESQOL/Sym, and a CEAP classification form. The condition of varicose veins among the nurses was diagnosed by a cardiovascular surgeon using Doppler ultrasonography. Results: The prevalence of chronic venous insufficiency (CVI) among nurses was 65%, with 48% at a C1 level according to the CEAP classification. CVI was higher among those with chronic diseases (p = 0.027) and those who had pregnancy (p = 0.021). In addition, the risk of CVI (+) was 7.68 times higher among those aged older than 26.5 years and 36.14 times higher for women (p < 0.001). A 0.9-fold increase in the risk of CVI (+) among nurses produced a one-unit decrease in venous-insufficiency-related quality of life (p = 0.006, OR = 0.94, 95% CI:(0.896–0.982)). Conclusions: The prevalence of CVI among nurses was found to be high, especially among women, those with chronic diseases, and pregnant individuals. In this context, it is recommended to implement risk screening and prevention education programs for CVI among nurses.
Study on the Optimization of the Tensile Properties of an Al-Li Alloy Friction Stir-Welding T-Joint
Authors: Qiu Yu , Zeng Yuansong , Meng Qiang , Guan Wei , Dong Jihong , Zhao Huaxia , Cui Lei , Bai Xuepiao , Wang Mingtao
Published: September 2024

The softening of aluminum–lithium alloy welded joints generally leads to a reduction in mechanical properties. In this study, a piece of 2A97-T3 aluminum–lithium alloy with a thickness of 2.8 mm was selected as the test material, and the tool and process used for wire-filled stationary shoulder friction stir welding (SSFSW) were developed. By increasing the bearing area of the softening zone, an equal-strength T-joint was manufactured. Good weld formation was obtained when the rotation speed was set to 2000 rpm and the welding speed ranged from 100 to 120 mm/min. The thickness of the softening zone was controlled by adjusting the reserved gap between the shoulder and the workpiece. The softening mechanism of the weld joint was revealed. The softening was attributed to the coarsening of the main precipitated phases (T1 and θ′ phases) in the heat-affected zone (HAZ) and the dissolution of precipitated phases in the thermo-mechanically affected zone (TMAZ). Grain refinement in the nugget zone (NZ) led to a certain fine-grained strengthening effect, although the precipitated phase was almost completely dissolved. Due to the thermal effect of second-pass welding, the hardness value of the NZ and HAZ in the center of the skin further decreased, and the minimum hardness was approximately 70% that of the base material. Tensile testing results indicated that the softening effect was largely offset by the increased bearing area of the softening zone, resulting in the successful welding of high-strength Al-Li alloy T-joints with equal strength. The strength coefficient was found to be 0.977.
Updates on an Even More Compact Precision NMR Spectrometer and a Wider Range V-T Probe, for General Purpose NMR and for NMR Cryoporometric Nano- to Micro-Pore Measurements
Authors: Webber John Beausire Wyatt
Published: September 2024

There is an increasing need for compact low-cost NMR apparatus that can be used on the laboratory bench and in the field. There are four main usage variants of usage: (a) time-domain apparatus, particularly for physical measurements; (b) frequency-domain apparatus, particularly for chemical analysis, (c) NMR Cryoporometry apparatus for measuring pore-size distributions; and (d) MRI apparatus for imaging. For all of these, variable temperature capability may be vital. We have developed compact low-cost apparatus targeted at these applications. We discuss a hand-held NMR Spectrometer, and three different holdable NMR magnets, with sufficiently large internal bores for the Lab-Tools compact Peltier thermo-electric cooled variable-temperature probes. Currently, the NMR Spectrometer is very suitable for (a) NMR time-domain relaxation and (c) NMR Cryoporometry. With a suitable high-homogeneity magnet, it is also appropriate for simple use (b), spectral analysis, or, with a suitable gradient set, (d) MRI. Together, the NMR Spectrometer, one of the NMR variable-temperature probes, and any of these NMR magnets make excellent NMR Cryoporometers, as demonstrated by this paper and previously published research. Equally, they make versatile general-purpose variable-temperature NMR systems for materials science.