bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamics in District–University Partnerships Focused on Leadership for Equity
Authors: Molle Daniella , Handsman Emily , Peters-Hawkins April , Jones Wehmah , Diamond John , Nott Emily , Choi Yeonsoo , White Mark , Greer Carl , Mosby Jordan , Halverson Richard
Published: November 2024

This paper discusses the development of district–university partnerships at the onset of a multi-year grant-funded initiative focused on leadership for equity. Using three illustrative partnership cases, we investigated district–university collaboration through the lens of mutualism, or the mutually beneficial nature of the relationship. Our data analysis revealed the following dynamics as important for the development of mutualism: shared commitment, shared ownership, new collaborative structures, reciprocal benefits, and boundary spanners. We approached partnerships as learning processes, and used a typology of interorganizational learning to understand better how these dynamics sustained the partnerships. Our study contributes to the field’s knowledge of the development of formal partnerships in general as well as of partnerships explicitly focused on equity specifically.
Receiving-End Voltage Compensation Method with NPC-Inverter-Based Active Power Line Conditioner in Three-Phase Four-Wire Distribution Feeder
Authors: Sabi Yuka , Yamada Hiroaki
Published: November 2024

This study proposes a receiving-end voltage compensation method employing a phase-specific reactive power control strategy with a neutral-point-clamped (NPC) inverter in a three-phase four-wire distribution system. The principle of the proposed receiving end voltage compensation method is explained. Further, the proposed control strategy can solve the problems of the three-phase, four-wire distribution system, which are an increase in the neutral-line current and the unbalanced voltage. Computer simulation is performed to confirm the validity of the proposed method. The simulation results indicate the receiving-end voltages can be compensated using the proposed method.
Inverse Coupled Simulated Annealing for Enhanced OSPF Convergence in IoT Networks
Authors: Pan Chengsheng , Lu Huangjie , Shi Huaifeng , Wang Yingzhi , Qin Lishang
Published: November 2024

The current Internet of Things (IoT) network structure is evolving from small-scale distributed systems to a large-scale hierarchical collaboration between backbone and access networks. In this context, the dynamic changes in backbone node connections and the surge in service demands, coupled with sluggish fault detection speeds, significantly shorten effective service transmission time. To address this issue, this paper proposes an inverse coupled simulated annealing for enhanced OSPF route convergence in IoT networks (OSPF-ICSA). Initially, the link state is derived from the statistical characteristics of Hello packets, while the aggregated characteristics of the link state are employed to characterize the node state, providing data support for the reverse coupled simulated annealing algorithm. Subsequently, the Hello packet is refined, and a mechanism is designed to synchronize OSPF intervals and transmit node states. This ensures that nodes within the same subnet synchronize their sending intervals and fault detection times while sharing their node states. Finally, building upon this foundation, the reverse coupled simulated annealing algorithm is introduced to jointly optimize the Hello packet sending interval and fault detection time. Compared to the traditional AODV protocol, OSPF-ICSA reduces the average fault detection time by over 37.38%, improves the average fault detection accuracy by more than 3.1%, decreases the average routing overhead by over 20%, and increases the average packet delivery rate by over 5.1%.
White Light Generation and Stability Analysis of High-Power Blue LDs with Remote YAG Phosphors
Authors: Lee Seung-Min , Ryu Jae-Hyoung , Lee Hong-Shik
Published: November 2024

This paper presents a comprehensive analysis of white light generation and the associated aging dynamics using high-power blue laser diodes (LDs) combined with transmissive single crystal remote YAG phosphors. By systematically varying input currents (ranging from 0.6 A to 3 A) and phosphor thicknesses (250 μm and 500 μm), this study elucidates the optical and electrical characteristics of LD-phosphor systems under diverse operating conditions. The results highlight the system’s potential for stable and efficient white light generation, making it suitable for high-power lighting applications. Experimental setups included both single LDs and a 4 × 2 LD array. For the single LD, a peak optical output of 4.16 W was achieved at 3 A, corresponding to an initial luminous flux of approximately 700 Lm and a correlated color temperature (CCT) of 4653 K, with minimal color temperature shift observed during a 60 min aging process. The 4 × 2 LD array demonstrated consistent white light output across varying phosphor thicknesses, with maximum luminous fluxes of 1857 Lm at 1.4 A and 2622 Lm at 1.6 A for phosphor thicknesses of 250 μm and 500 μm, respectively. Importantly, the phosphor exhibited excellent thermal stability throughout the aging process, with the CCT maintained within a range of 4600 K to 5500 K. These findings underscore the reliability and applicability of LD-based white light systems in demanding high-power lighting environments, offering a promising alternative to conventional light sources for automotive, industrial, and specialized lighting applications.
A Method for Retina Segmentation by Means of U-Net Network
Authors: Santone Antonella , De Vivo Rosamaria , Recchia Laura , Cesarelli Mario , Mercaldo Francesco
Published: November 2024

Retinal image segmentation plays a critical role in diagnosing and monitoring ophthalmic diseases such as diabetic retinopathy and age-related macular degeneration. We propose a deep learning-based approach utilizing the U-Net network for the accurate and efficient segmentation of retinal images. U-Net, a convolutional neural network widely used for its performance in medical image segmentation, is employed to segment key retinal structures, including the optic disc and blood vessels. We evaluate the proposed model on a publicly available retinal image dataset, demonstrating interesting performance in automatic retina segmentation, thus showing the effectiveness of the proposed method. Our proposal provides a promising method for automated retinal image analysis, aiding in early disease detection and personalized treatment planning.
Impact of Leading-Edge Tubercles on Airfoil Aerodynamic Performance and Flow Patterns at Different Reynolds Numbers
Authors: Wang Dian , Cai Chang , Zha Rongyu , Peng Chaoyi , Feng Xuebin , Liang Pengcheng , Meng Keqilao , Kou Jianyu , Maeda Takao , Li Qing’an
Published: November 2024

In recent years, leading-edge tubercles have gained significant attention as an innovative biomimetic flow control technique. This paper explores their impact on the aerodynamic performance and flow patterns of an airfoil through wind tunnel experiments, utilizing force measurements and tuft visualization at Reynolds numbers between 2.7 × 105 and 6.3 × 105. The baseline airfoil exhibits a hysteresis loop near the stall angle, with sharp changes in lift coefficient during variations in the angle of attack (AOA). In contrast, the airfoil with leading-edge tubercles demonstrates a smoother stall process and enhanced post-stall performance, though its pre-stall performance is slightly reduced. The study identifies four distinct flow regimes on the modified airfoil, corresponding to different segments of the lift coefficient curve. As the AOA increases, the flow transitions through stages of full attachment, trailing-edge separation, and local leading-edge separation across some or all valley sections. Additionally, the study suggests that normalizing aerodynamic performance based on the valley section chord length is more effective, supporting the idea that leading-edge tubercles function like a series of delta wings in front of a straight-leading-edge wing. These insights provide valuable guidance for the design of blades with leading-edge tubercles in applications such as wind and tidal turbines.
Evaluation of Energetic Potential of Slaughterhouse Waste and Its Press Water Obtained by Pressure-Induced Separation via Anaerobic Digestion
Authors: Yankyera Kusi Joseph , Empl Florian , Müller Ralf , Pelz Stefan , Poetsch Jens , Sailer Gregor , Kirchhof Rainer , Agyemang Derkyi Nana Sarfo , Attiogbe Francis , Siabi Sarah Elikplim
Published: November 2024

Anaerobic digestion has the potential to convert organic waste materials into valuable energy. At the same time, using press water from biomass materials for energy generation while taking advantage of the resulting cake for other purposes is an emerging approach. Therefore, this study aimed to investigate the residual potential expected from a typical biogas feedstock after it has been mechanically separated into liquid and solid phases. Hence, in this study, the rumen contents of ruminants (cow, goat, and sheep) and their proportionate ratios were obtained from an abattoir in Ghana. Resource characterization of the waste samples was carried out in the central laboratory of the HFR, Germany. Anaerobic batch tests for biogas (biomethane) yield determination were set up using the Hohenheim Biogas Yield Test (HBT). The inoculum used was obtained from an inoculum production unit at the Hohenheim University biogas laboratory. The trial involved two different forms of the sample: mixture of rumen contents, press water, and inoculum, each in four (4) replicates. The trial was carried out at a mesophilic temperature of 37 °C. Results obtained over a seventy (70) day period were transformed into biogas yields. Overall, the results show that the current contents are suitable for biogas generation as an option as opposed to the current form of disposal at a refuse dump. However, using these mixtures in their original forms is more technically viable than using press water without further treatment.
Optimised Deep Learning for Time-Critical Load Forecasting Using LSTM and Modified Particle Swarm Optimisation
Authors: Zulfiqar M. , Gamage Kelum A. A. , Rasheed M. B. , Gould C.
Published: November 2024

Short-term electric load forecasting is critical for power system planning and operations due to demand fluctuations driven by variable energy resources. While deep learning-based forecasting models have shown strong performance, time-sensitive applications require improvements in both accuracy and convergence speed. To address this, we propose a hybrid model that combines long short-term memory (LSTM) with a modified particle swarm optimisation (mPSO) algorithm. Although LSTM is effective for nonlinear time-series predictions, its computational complexity increases with parameter variations. To overcome this, mPSO is used for parameter tuning, ensuring accurate forecasting while avoiding local optima. Additionally, XGBoost and decision tree filtering algorithms are incorporated to reduce dimensionality and prevent overfitting. Unlike existing models that focus mainly on accuracy, our framework optimises accuracy, stability, and convergence rate simultaneously. The model was tested on real hourly load data from New South Wales and Victoria, significantly outperforming benchmark models such as ENN, LSTM, GA-LSTM, and PSO-LSTM. For NSW, the proposed model reduced MSE by 91.91%, RMSE by 94.89%, and MAPE by 74.29%. In VIC, MSE decreased by 91.33%, RMSE by 95.73%, and MAPE by 72.06%, showcasing superior performance across all metrics.
Maximum Energy Density for Evaluation of the Dynamic Accuracy of LVDT Sensors Applied in the Energy Industry
Authors: Tomczyk Krzysztof , Beńko Piotr , Ostrowska Ksenia
Published: November 2024

This paper presents a proposal in which the maximum energy density criterion is used to evaluate the dynamic accuracy of LVDT (Linear variable differential transformer) sensors for applications in the energy industry. The solutions proposed in the paper are based on a mathematical model of the LVDT sensor, represented by its frequency response. The mathematical foundations required for the synthesis of such a model and the formulae and algorithm necessary to determine the maximum energy density for the integral-square error criterion are presented. Numerical and simulation calculations are performed using MathCad 15 and MATLAB R2014a programs. The solutions presented in this paper can constitute a basis for the selection of LVDT sensors for applications in the energy industry, with a view to achieving accurate diagnostic measurements.
Recent Progress on the Materials of Oxygen Ion-Conducting Solid Oxide Fuel Cells and Experimental Analysis of Biogas-Assisted Electrolysis over a LSC Anode
Authors: Drosakis Christos , Douvartzides Savvas , Athanasiou Costas , Skodras Georgios
Published: November 2024

In this work, the recent achievements in the application of solid oxides fuel cells (SOFCs) are discussed. This paper summarizes the progress in two major topics: the materials for the electrolytes, anode, and cathode, and the fuels used, such as hydrocarbon, alcohol, and solid carbon fuels. Various aspects related to the development of new materials for the main components of the materials for electrocatalysts and for solid electrolytes (e.g., pure metals, metal alloys, high entropy oxides, cermets, perovskite oxides, Ruddlesden–Popper phase materials, scandia-stabilized-zirconia, perovskite oxides, and ceria-based solid electrolytes) are reported in a coherent and explanatory way. The selection of appropriate material for electrocatalysts and for solid electrolyte is crucial to achieve successful commercialization of the SOFC technology, since enhanced efficiency and increased life span is desirable. Based on the recent advancements, tests were conducted in a biogas-fueled Ni-YSZ/YSZ/GDC/LSC commercial cell, to elucidate the suitability of the LSC as an anode. Results obtained encourage the application of LSC as an anode in actual SOFC and SOFEC systems. Thus, H2-SOFC demonstrated a satisfying ASR value, while, for biogas-assisted electrolysis, the current values slightly increased compared to the methane-SOFEC, and for a 50/50 biogas mixture of methane and carbon dioxide, the corresponding value presented the higher increase.
A Study on the Growth Model of Natural Forests in Southern China Under Climate Change: Application of Transition Matrix Model
Authors: Meng Xiangjiang , Ma Zhengrui , Xia Ying , Meng Jinghui , Bai Yuhan , Gao Yuan
Published: November 2024

This study establishes a climate-sensitive transition matrix growth model and predicts forest growth under different carbon emission scenarios (representative concentration pathways RCP2.6, RCP4.5, and RCP8.5) over the next 40 years. Data from the Eighth (2013) and Ninth (2019) National Forest Resource Inventories in Chongqing and climate data from Climate AP are utilized. The model is used to predict forest growth and compare the number of trees, basal area, and stock volume under different climate scenarios. The results show that the climate-sensitive transition matrix growth model has high accuracy. The relationships between the variables and forest growth, mortality, and recruitment correspond to natural succession and growth. Although the number of trees, basal area, and stock volume do not differ significantly for different climate scenarios, the forest has sufficient seedling regeneration and large-diameter trees. The growth process aligns with succession, with pioneer species being replaced by climax species. The proposed climate-sensitive transition matrix growth model fills the gap in growth models for natural secondary forests in Chongqing and is an accurate method for predicting forest growth. The model can be used for long-term prediction of forest stands to understand future forest growth trends and provide reliable references for forest management. Forest growth can be predicted for different harvesting intensities to determine the optimal intensity to guide natural forest management in Chongqing City. The results of this study can help formulate targeted forest management policies to deal more effectively with climate change and promote sustainable forest health.
Stimulation of Hair Growth Effect by Fermented Ginsenosides Using Levilactobacillus brevis THK-D437
Authors: Yi Eun-Ji , Nguyen Trang Thi Minh , Jeong Jeehaeng , Jin Xiangji , Zheng Qiwen , Park Se-Jig , Yi Gyeong-Seon , Yang Su-Jin , Yi Tae-Hoo
Published: November 2024

Hair growth is crucial for physiological functions and psychological well-being, leading to an increasing demand for research in this area. While low-molecular ginsenosides have been shown to promote hair growth in mice, studies on their effects are limited, and there is a lack of research examining the impact of ginsenoside fermentation products derived from lactic acid bacteria. This study investigated the hair-growth-promoting effect of fermented ginsenoside by fermentation of Levilactobacillus brevis THK-D437, which was isolated from the traditional Korean fermented food kimchi and features high β-glucosidase activity. In the cell-based MTT assay, the proliferation rate was increased by 25% in the fermented ginsenoside-treated group on human hair dermal papilla cells (HHDPCs). In the alopecia mouse model study (C57BL/6 mouse model), enhanced hair growth was observed in the fermented ginsenoside-treated mouse groups. Tissue histological analyses showed that the number of hair follicles and the thickness of the epidermis, respectively, were increased in the fermented ginsenoside-treated mouse groups. These results suggested that fermented ginsenoside has a promoting effect on hair growth and a retarding effect on the catagen stage. Therefore, fermented ginseng products might be a new potential therapeutic candidate for promoting hair growth.
Research on the Propagation Law of Fire Smoke on the Working Face of a Belt Conveyor
Authors: Wei Yinshang , Li Anquan , Li Yi , Liang Wei
Published: November 2024

In view of the spread and distribution of high-temperature toxic smoke on the working face during belt conveyor fires, the FDS was used to carry out numerical simulation, establish a belt conveyor fire simulation model, set up a variety of working conditions, and study the flue gas spread of the working face with different ignition source locations and different heat release rates. The results show that the flue gas reaching the working face varies greatly from different ignition source locations, and the smoke propagation time of the working face decreases first and then increases with the increase in the scale of the fire. The location of the fire source is from 0 to 700 m, and the visibility of the working face will drop to less than 3 m within 10 min, which seriously affects emergency evacuation; the maximum concentration of CO in the working face is proportional to the heat release rate, the fire source is less than 100 m away from the working face, and the temperature of the air inlet area of the working face is higher than 60 °C, which poses a great threat to personnel evacuation. When the fire source is less than 200 m away from the working face, the evacuees will encounter smoke damage on the working face, and when the fire scale reaches 4 MW and 6 MW, the CO concentration will have a great impact on the evacuation and make people incapacitated.
Transcriptomic Analysis of Non-Specific Immune Responses in the Rice Field Eel (Monopterus albus) Infected with Pallisentis (Neosentis) celatus
Authors: Lei Qin , Li Xiaoling , Wu Hao , Wan Yiwen , Xie Yukun , Gao Jinwei , Suo Wenwen , Zeng Ming , Liu Lingli , Ou Dongsheng , Xie Zhonggui , Song Rui
Published: November 2024

Parasitic infestations present significant threats to the physiological health and ecological stability of aquatic species, frequently compromising immune defenses and elevating mortality rates. This study was conducted to elucidate the non-specific immune responses induced by Pallisentis (Neosentis) celatus infection in Monopterus albus, with a focus on intestinal histopathology and transcriptome gene expression. A histopathological examination revealed minor alterations in intestinal villi under low-level infection. A transcriptome analysis, performed using Illumina sequencing technology, identified 347 upregulated and 298 downregulated genes involved in critical biological pathways, such as lipid metabolism, immune responses, and the regulation of inflammatory processes. GO and KEGG analyses indicated the upregulation of immune-related pathways, including the RIG-I-like and IL-17 signaling pathways, highlighting a robust intestinal immune response. Conversely, the complement pathway was found to be downregulated, with significant suppression of C9, suggesting that the parasite may engage in immune evasion. Fluorescein-labeled C9 antibody assays confirmed reduced complement C9 levels in the infected tissues. A real-time PCR analysis identified the differential expression of eight genes, including C5, maats1, CFI, and gmnc, which were consistent with the sequencing results. These findings suggest that Pallisentis (Neosentis) celatus infection compromises intestinal health, induces inflammation, and activates non-specific immune responses in Monopterus albus. However, Pallisentis (Neosentis) celatus appears to evade the host immune response by suppressing the activation of complement components, thereby facilitating its reproductive parasitism.
Screening of the Nutritional Properties, Bioactive Components, and Antioxidant Properties in Legumes
Authors: Multescu Mihaela , Culetu Alina , Susman Iulia Elena
Published: November 2024

This study provides an assessment of nutrients (protein, amino acid profiles, fiber, starch), phenolic content TPC, flavonoid content TFC, and antioxidant capacity through different in vitro methods in 12 legume species (red, green, yellow, brown, and black lentils; mung, pinto, black, and kidney beans; chickpea, soy, and lupin) and hemp. Legumes with a protein content above 30% were black lentil, lupin, and soy. Chickpea, soy, black bean, kidney bean, and mung bean did not have any limiting amino acids. All samples had moderate overall protein quality, except green and brown lentils. Black bean was less digestible (68.1%), while soy, hemp, and red lentil had higher protein digestibility (79.3–84.7%). Pinto bean had the highest TPC (425.19 mg GAE/100 g), comparable with hemp, but the lowest TFC (0.24 mg QE/100 g). Yellow and red lentils showed the lowest TPC (69–85.89 mg GAE/100 g). Mung bean presented the highest concentration of flavonoids (45.47 mg QE/100 g), followed by black lentil (28.57 mg QE/100 g). There were distinct variations in the antioxidant capacity across different legume samples and assays. Pinto bean, hemp, and green lentil had the highest relative antioxidant capacity index, while yellow lentil, red lentil, and chickpea presented the lowest. Dark-colored legume samples showed a higher TPC and a lower antioxidant capacity (CUPRAC and PCL assays), while yellow legumes had less antioxidant capacity (DPPH assay). A high correlation coefficient was observed between TPC and DPPH (r = 0.8133), TPC and FRAP (r = 0.8528), TPC and CUPRAC (r = 0.9425), and TPC and ACL (r = 0.8261) methods. The results highlight large variations in the legume properties and support the exploitation of the nutritional properties of legumes as raw materials for the development of products designed to fulfil modern consumer demands.
Nitrogen Storage in Rice: Analysis of Physical Quality by Respiration, Weight, and Storage According to Nitrogen Ratio
Authors: Shin Dong Gwan , Han Jae Woong , Ahn Jae Hwan , Kim Hoon
Published: November 2024

Various studies have been conducted to minimize the damage and loss of stored grain. For safe storage, the moisture content must be reduced, or respiration must be suppressed. In this study, grain respiration rates were analyzed under various nitrogen atmospheric conditions, and the quality of stored rice was evaluated. As the nitrogen content of the storage space increases, the respiration rate of the grain decreases accordingly. In this study, the effect of the modified atmospheric nitrogen concentration on reducing respiration was determined. When predicting weight loss due to respiration, low moisture content, and high nitrogen concentration could reduce loss. Quality analysis was performed to compare different respiration rate conditions and showed that lower oxygen concentration and moisture content were associated with safer storage. Our results indicate that changes in atmospheric conditions depending on climate and storage conditions can be considered for the safe storage of harvested rice.
Regulatory Effect of Fucoidan Hydrolysates on Lipopolysaccharide-Induced Inflammation and Intestinal Barrier Dysfunction in Caco-2 and RAW264.7 Cells Co-Cultures
Authors: Fu Xiaodan , Huang Xinru , Tan Huizi , Huang Xiaojun , Nie Shaoping
Published: November 2024

Fucoidan, a sulfated polysaccharide rich in fucose, is derived from brown algae and marine invertebrates. Multiple bioactivities have been shown with fucoidan, while growing attraction has emerged in its low-molecular-weight (Mw) hydrolysates. Here, the anti-inflammatory effect of fucoidan, low-Mw acidolyzed fucoidan (LMAF, <1.5 kDa), and high-Mw acidolyzed fucoidan (HMAF, 1.5–20 kDa) were investigated in vitro using lipopolysaccharide (LPS)-stimulated Caco-2 and RAW264.7 co-cultures. Fucoidan, LMAF, and HMAF with different structures exhibited varied anti-inflammatory effects. LMAF and HMAF effectively decreased the nitric oxide release of RAW264.7 cells. LMAF exhibited a competitive effect in reducing tumor necrosis factor-alpha, interleukin-1 beta, and interleukin-6 levels compared to HMAF and fucoidan. Transcriptome of RAW264.7 revealed that LPS and LMAF mainly regulated the transcriptional expression of genes, including Tnf, Il6, Il1b, Junb, and Nfkb1 in the TNF signaling pathway, NF-kappa B signaling pathway, and cytokine–cytokine receptor interaction. RT-PCR results indicated that LMAF markedly reduced the LPS-elevated expression of Cxcl2, Tnf, Ccl2, Il1b, and Csf2. Moreover, LMAF effectively increased the proteins expression of Claudin-1, Occludin, and Zonula occluden-1 in Caco-2 cells. This study highlights the potential of LMAF to improve inflammation and intestinal barrier integrity, offering a foundation for further application of low-Mw fucoidan hydrolysates.
Gunshot Defense Wounds: Three Case Reports and a Literature Review
Authors: Ambrosi Laura , Nicolì Simona , Ferorelli Davide , Vaglio Roberto , Solarino Biagio , Benevento Marcello
Published: November 2024

Defense wounds generally occur when a victim attempts to protect vital organs and blood vessels during an assault, and are therefore typically located on the forearms or hands. Gunshot-induced defense wounds are less frequent compared to stab wounds, which have been extensively described in the literature. We present three cases where victims unsuccessfully attempted to defend themselves from gunshots, and where the detailed description of injuries played a key role in the reconstruction of the crime scenes. In the first case, a man was shot with a smooth-bore shotgun, presenting a “through-and-through” gunshot wound on the lateral surface of the left forearm and a large gaping wound on the posterior surface of the same forearm. The second and third cases involved two men who were shot with handguns. The first displayed an entrance wound on the dorsal surface of the right hand, with burned edges and smoke soiling, and an exit wound on the palmar surface. The second case involved two wounds on the left hand: one on the dorsum and the other on the palm. To the best of our knowledge, few studies in the literature emphasize the role of gunshot defense wounds in aiding the reconstruction of crime dynamics. The cases presented in this study highlight the importance of precisely defining the pathological and morphological features of the wounds, as well as the bullet trajectories, to accurately identify defense wounds. These findings are valuable for reconstructing the dynamics of the assault and providing critical information to the public prosecutor.
Research of Large Inflow Angles BEMT-Based Analytical–Numerical Performance Evaluation Model
Authors: Sosa Henríquez Carlos , Lendraitis Martynas
Published: November 2024

This paper presents a comprehensive analytical–numerical algorithm constructed for proprotor performance evaluation, focusing on accommodating large inflow angles. The algorithm’s design, range, and analytical features are clarified, indicating its potential to improve performance analysis, particularly for blades with substantial pitch variations. The Stahlhut model has not been validated against the conventional BEMT small-inflow angle methodology. This paper implements a modified Stahlhut model, coupled with the conventional BEMT. Preliminary validations of the model demonstrate promising results, with deviations reduced to −3% to 4% compared to conventional BEMT methods exhibiting deviations as high as 20% to 88% against experimental data for a highly twisted proprotor. The reconsideration of the computational module carries considerable implications for the design and refinement of proprotors, providing alternative analysis methods that could improve operational effectiveness across a range of flight scenarios. Drawing upon the theoretical framework presented by Stahlhut, the algorithm enables a more complex understanding of proprotor dynamics, facilitating accurate predictions of the loads at each blade section. The introduced algorithm emerges as a valuable asset for evaluating proprotor performance during the early stages of design and certification, offering both low computational cost and medium to high reliability.
Paclitaxel-Coated Versus Sirolimus-Coated Eluting Balloons for Percutaneous Coronary Interventions: Pharmacodynamic Properties, Clinical Evidence, and Future Perspectives
Authors: Gurgoglione Filippo Luca , De Gregorio Mattia , Benatti Giorgio , Donelli Davide , Vignali Luigi , Solinas Emilia , Tadonio Iacopo , Denegri Andrea , Covani Marco , Dallaglio Gabriella , Cortese Bernardo , Niccoli Giampaolo
Published: November 2024

Drug-coated balloons (DCBs) have emerged as an increasingly valuable option for the treatment of coronary artery disease (CAD). Percutaneous coronary intervention (PCI) with DCBs enables the localized delivery of antiproliferative drugs directly to the target coronary lesion, avoiding the need for permanent scaffold implantation. Historically, paclitaxel-coated balloons (PCBs) have been the most used device in this context. Paclitaxel interferes with intracellular microtubule function, leading to cell cycle arrest. However, its cytotoxicity at a higher dosage and narrow therapeutic range has raised some safety concerns. To address these issues, sirolimus-coated balloons (SCBs) have been introduced as an alternative. Sirolimus acts as a cytostatic agent with potent anti-inflammatory and antiproliferative properties and is characterized by a wider therapeutic range, potentially offering a safer profile. Several experimental and clinical studies comparing the safety and efficacy of PCBs versus SCBs have yielded mixed results. Recently, a novel DCB (SirPlux Duo), which simultaneously releases both paclitaxel and sirolimus, has been tested in a porcine coronary model with promising results. In this review, we will elucidate the mechanisms of action of paclitaxel and sirolimus, examine contemporary preclinical and clinical evidence comparing PCB and SCB angioplasty, and discuss novel devices that may enhance the safety and efficacy of PCI with DCBs.
Identification of Individual Mobility Anchor Places and Patterns Based on Mobile Phone GPS Data
Authors: Hao Xuguang , Yin Biao , Liu Liu
Published: November 2024

The study on individual mobility patterns supports our better understanding of spatiotemporal characteristics of people’s travel behavior and social activities. The mobile phone GPS data are advantageous due to the large size of their data coverage. This paper aims to identify individual activity anchor places and to analyze related patterns based on the GPS data collected from thousands of mobile phone users over four months in Greater Paris, France. We propose a method to refine the identification of home and secondary activities. Based on this, the mobility spatial characteristics are aggregated by applying a three-stage clustering method. As a consequence, the clusters of activity types, the daily mobility patterns (day types), and the user groups with similar daily mobility patterns are obtained stage by stage. This allows us to analyze the obtained clusters in a cascading maneuver by three different levels: activity level, day level, and individual level. Inversely, the mobility characteristics per user group are interpreted with respect to the interpretation of day types and then activity types. From the interpretable clusters, it is facilitated for us to find the daily mobility differences by user groups across weekdays and weekends, transport modes, as well as the mobility variability over the study period.
Managerial Challenges in Implementing European Rail Traffic Management System, Remote Train Control, and Automatic Train Operation: A Literature Review
Authors: Morin Xavier , Olsson Nils O. E. , Lau Albert
Published: November 2024

This paper explores the management of digitalization projects within the railway industry. It aims to increase and understand the opportunities presented by digitalization and automation in rail operations. Employing a scoping review methodology, this research investigates the execution of European Rail Traffic Management System (ERTMS), remote train control (RTC), and automatic train operation (ATO) projects spanning from 2005 to 2023, with a particular emphasis on metro automation, the remote control of freight and passenger trains, fully automated trains, and highly assisted driving. The refined selection process yielded 30 papers. The analysis of the retrieved papers identified managerial issues, with stakeholder management, change management, and organizational management emerging as recurring themes. Despite the increasing trend in publications, the limited representation managerial issues in ERTMS, RTC, and ATO projects in scientific research persists, with implications for the industry’s advancement. This research sheds light on the critical intersection of change management and digitalization within the railway industry by showing the impact of ERTMS, RTC, and ATO on organizational and scope dynamics. The need for human-centered systems is highlighted, showing the necessity of involving every echelon of the organization in the change management process. These findings provide insights for practitioners, researchers, and policymakers, emphasizing the need for understanding and addressing managerial aspects for successful and sustainable digitalization implementations.
A Guideline for Cross-Sector Coupling of Carbon Capture Technologies
Authors: Asgharian Hossein , Yahyaee Ali , Yin Chungen , Liso Vincenzo , Nielsen Mads Pagh , Iov Florin
Published: November 2024

Many governments around the world have taken action to utilise carbon capture (CC) technologies to reduce CO2 emissions. This technology is particularly important to reduce unavoidable emissions from industries like cement plants, oil refineries, etc. The available literature in the public domain explores this theme from two distinct perspectives. The first category of papers focuses only on modelling the CC plants by investigating the details of the processes to separate CO2 from other gas components without considering the industrial applications and synergies between sectors. On the other hand, the second category investigates the required infrastructure that must be put in place to allow a suitable integration without considering the specific particularities of each carbon capture technology. This review gives a comprehensive guideline for the implementation of CC technologies for any given application while also considering the coupling between different energy sectors such as heating, power generation, etc. It also identifies the research gaps within this field, based on the existing literature. Moreover, it delves into various aspects and characteristics of these technologies, while comparing their energy penalties with the minimum work required for CO2 separation. Additionally, this review investigates the main industrial sectors with CC potential, the necessary transportation infrastructure from the point sources to the end users, and the needs and characteristics of storage facilities, as well as the utilisation of CO2 as a feedstock. Finally, an overview of the computation tools for CC processes and guidelines for their utilisation is given. The guidelines presented in this paper are the first attempt to provide a comprehensive overview of the technologies, and their requirements, needed to achieve the cross-sector coupling of CC plants for a wide range of applications. It is strongly believed that these guidelines will benefit all stakeholders in the value chain while enabling an accelerated deployment of these technologies.
“I Have One More Hour of Power and Many Miles of Communication to Go”: Lessons Learned from Community Research Interrupted by Climate Crises
Authors: Alvarez Antonia R. G. , Manning Sherry , Ruelas Teresa Dosdos
Published: November 2024

The Ang Pagtanom og Binhi Project is a University–Community partnership and community-based participatory research project exploring the health benefits of food sovereignty practices in the Philippines. In late 2021, in the midst of data collection, Super Typhoon Odette made landfall in the Philippines causing massive environmental and structural devastation. In the aftermath of the storm, community partners in the Philippines and members of the research team in the United States shared photos, texts, and updates. These messages included descriptions of structural and environmental damage caused by the storm and stories of mutual aid efforts and actions taken by individuals and small organizations, each highlighting connections between food sovereignty efforts in the Philippines and the impacts of climate change. Due to the richness of the stories, the interconnectedness between these conversations and the research topic, and the alignment within the theoretical foundations of the project, the researchers understood that these communications should be included as data. With feedback from the Community Advisory Board, the Research and Design Team amended project protocols, research questions, and consent forms to incorporate this emergent data. This manuscript describes the process that the team undertook and some of the lessons learned by taking this approach.
Three-Dimensional Subsurface Model of Luk-Ulo Melange Complex, Karangsambung, Indonesia: Insights from Gravity Modeling
Authors: Ahmady Faridz Nizar , Santoso Djoko , Alawiyah Susanti , Saepuloh Asep
Published: November 2024

The Luk-Ulo Melange Complex (LMC) is characterized by a chaotic assemblage of mixed rocks with a block-in-matrix fabric. The exposed blocks consist of various scattered rock types, trending in an ENE-WSW direction. In the case of Mt. Parang, the origin of the diabase remains uncertain, with ongoing debate as to whether it is associated with in situ volcanic activity or represents an exotic block within the melange deposit. Subsurface data obtained through geophysical investigation can aid in modeling the geometry of intrusive bodies using inverse modeling techniques. In this study, we conducted a gravity survey and performed 3D inverse modeling to investigate the subsurface beneath Karangsambung. A total of 818 gravity data points and 28 rock density measurements were integrated with existing geological data to construct an a priori 3D geological model. To ensure the results align with geological concepts, the 3D inversion utilized a stochastic approach, allowing for the incorporation of multiple geological constraints over fifty million iterative procedures. Ultimately, the inversion successfully reduced the misfit between observed and calculated data from 2.71 to 0.55 mGal. Based on the inverted 3D model, the diabase rock in Mt. Parang is identified as having an intrusive origin. The intrusion model exhibited minimal changes in density, volume, and shape during the inversion process. Additionally, the model suggests the presence of a solidified magma reservoir at a depth of approximately 3 km, potentially related to Dakah volcanism. The inverted model also reveals the block-in-matrix structure of the Luk-Ulo Melange Complex in the northern area.
Characterisation of Fault-Related Mn-Fe Striae on the Timpa Della Manca Fault (Mercure Basin, Southern Apennines, Italy)
Authors: Nazzareni Sabrina , Mantovani Luciana , Pizzati Mattia , Bersani Danilo , Boschetti Tiziano , Palmucci Ambra , Cirillo Daniele , Brozzetti Francesco
Published: November 2024

The Quaternary Mercure basin is a complex fault structure located in the Pollino region of the southern Apennines (Italy). A persistent seismic gap makes the Mercure basin structure one of Italy’s highest seismic risk zones. The southernmost termination of the Mercure basin is the Timpa della Manca fault. The fault’s mirror is characterised by distinctive, lineated, black-coloured striae decorating a cataclasite made of carbonate clasts. These black-coloured striae consist of a mixture of Mn phases, including hollandite, todorokite, birnessite, and orientite, which are associated with goethite and hematite along with minor amounts of phyllosilicates (chlorite, muscovite), quartz, and sursassite. This mineral association and their phase stability suggest that hydrothermal circulating fluids may have mobilised and re-precipitated low-temperature Mn hydrous phases within the shear zone, leaving remnants of higher-temperature minerals. Oceanic crust remnant blocks within the Frido Unit appear to be the most likely source of the Mn. The uniqueness of the Mn striae on the Timpa della Manca fault offers intriguing insights into fluid circulation within the Mercure basin tectonic system, with potential implications for the seismotectonic characteristics of the Pollino region.
The Efficacy of a Combination of Milk Thistle, Artichoke, and Green Tea in the Treatment of Biliary Sludge: An Interventional Prospective Open Study
Authors: Saviano Angela , Sicilia Ida , Migneco Alessio , Petruzziello Carmine , Brigida Mattia , Candelli Marcello , Franceschi Francesco , Ojetti Veronica
Published: November 2024

Background: In Western countries, 10–20% of adults have gallstones, of which about 1–3% of patients are symptomatic for biliary colic. The treatment with ursodeoxycholic acid is debated. Silymarin is emerging nowadays as a natural substance with choleretic and beneficial properties, useful in the case of gallbladder sludge. Aim: The aim of our study was to evaluate the efficacy of supplementation with a mix of natural compounds (milk thistle 150 mg, artichoke 150 mg, and green tea 150 mg) in patients affected by biliary sludge in reducing biliary colic and biliary sludge and improving lipid profiles after 3 months of treatment compared to a control group. Patients and Methods: This was an interventional open study on 65 consecutive adult patients (23 M/42 F; mean age 61.0 ± 18.7 years) affected by biliary sludge without indication for surgery, admitted to the Internal Medicine Department of San Carlo di Nancy Hospital Rome. Forty patients were treated with milk thistle 150 mg, artichoke 150 mg, and green tea 150 mg, 2 capsules/day for three months, and followed up for abdominal ultrasound, the frequency of occurrence of biliary colic, and blood tests. Twenty-five control group patients were followed up for abdominal ultrasound, the frequency of occurrence of biliary colic, and blood tests after 3 months. Results: In Group A, we observed a disappearance of biliary sludge in 32.4% (12/37) of patients compared to 8.7% in the control group (p < 0.05). In 32.4% of treated patients, we report a reduction in biliary sludge. There were no side effects during treatment. In both groups, we registered a significant reduction in transaminases and gamma-glutamyl transferase (γ-GT) (p < 0.05). No significant modification of the lipid profile was observed. Conclusions: The treatment with a mix of natural compounds (milk thistle, artichoke, and green tea) in patients affected by symptomatic biliary colic resulted in efficacy and safety in reducing biliary sludge, biliary colic, and transaminases levels after three months of treatment. The limitations of this study include a small number of patients and the absence of long-term follow up after the end of treatment.
A Longitudinal Multi-Method Inquiry of Educational Workers’ Use of Interventions for Positive Mental Wellbeing
Authors: Kendrick Astrid Helene , Tay Mawuli Kofi , Everitt Lisa , Pagaling Rachel , Russell-Mayhew Shelly
Published: November 2024

Background and Objectives: Compassion fatigue and burnout are two distinct forms of mental health distress faced by educational workers. Researchers have shown a high level of both phenomena across the field of education; however, a better understanding of what educational workers already do for positive mental and emotional health is needed. Methods: This research study examined three years of data, collected via survey, inquiring into the various interventions, namely supports and resources, that educational workers use to support positive mental health. Results: Quantitative data analysis via descriptive and inferential statistics revealed that educational workers relied heavily on their personal support network followed distantly by medical professionals and other interventions, revealing a gap that needs to be addressed by employers. Qualitative thematic analysis revealed a trend towards increased use of environmental interventions to promote positive mental wellbeing. Conclusions: The data analysis suggested areas of focus required to ensure workplace wellbeing, and that programs too focused on individual or self-directed interventions would not be well received by educators. Suggestions for other interventions that might be helpful for leaders and policy-makers are provided.
Maternal Parity Effect on Spine Posture Changes and Back Pain During Pregnancy
Authors: Popajewski Michał , Zawadka Magdalena , Wójcik-Załuska Alicja , Milart Paweł
Published: November 2024

Background: Pregnancy can significantly alter posture and stability, thereby affecting spine curvatures. A positive relationship between the number of full-term pregnancies and the prevalence of low back pain (LBP) has been reported previously. This study aimed to analyze the impact of pregnancy on spine posture and LBP. Methods: Thirty pregnant females who were nulliparous (Group 1, n = 15) or had one or two pregnancies (Group 2, n = 15) were examined using the photogrammetric method in the first, second, and third trimesters of pregnancy. Further, a correlation analysis was conducted among the body mass index (BMI), pain intensity (VAS scale), and spine posture parameters. Results: The parous groups did not differ significantly in the parameters of the spinal posture. The thoracic angle decreased in trimester II compared to trimester I (157.77° vs. 160.55°, p = 0.004), which, according to the measurement methodology used, means that the thoracic kyphosis curvature increased. BMI was associated with the angle of trunk inclination in trimester I in Group 1 (r = 0.54, p = 0.04), as well as with the thoracic angle in trimesters II and III in Group 2 (r = 0.54–0.62, p < 0.05). A statistically significant correlation between pain intensity and spine posture parameters was more frequently observed in Group 2. Conclusions: Parity does not affect spine posture during pregnancy or pain intensity. The intensity of LBP was associated with spine posture changes during pregnancy, but the character of association differs between groups of parity. Alterations in spine posture should be monitored during pregnancy to prevent back pain.