bluuebunny/crossref_metadata_2025 huggingface dataset:
Large Scale Evaluation of Normalized Hard-Braking Events Derived from Connected Vehicle Trajectory Data at Signalized Intersections, Roundabouts, and All-Way Stops
Authors: Vajpayee Vihaan , Saldivar-Carranza Enrique D. , Sakhare Rahul Suryakant , Bullock Darcy M.
Published: August 2024

Intersection safety has been traditionally evaluated using three to five years of crash data. Recent literature suggests that connected vehicle (CV)-derived hard braking (HB) events can provide a surrogate for crashes with only a few weeks or months of data collection. This study used CV trajectories to derive HB events. Then, the HB events were normalized as the ratio of HB events to sampled CV trajectories. The normalized HB ratios were evaluated and compared at 435 signalized intersections, roundabouts, and all-way stops in Indiana. The analysis showed that signalized intersections and roundabouts had the highest counts of HB events, and all-way stops had the highest HB ratios. Through movements at signalized intersections showed the lowest HB ratios, whereas left turns at all-way stops had the highest ratios. A density analysis of the geospatial occurrence of HB events concluded that they tend to occur closest to the intersection center at all-way stops, but are more evenly distributed at signalized intersections. Additionally, a speed analysis indicated that HB events at signalized intersection through movements tend to occur at higher speeds, roughly between 26 and 36 MPH, perhaps due to the driver reaction during the onset of yellow. The findings presented in this study provide transportation agencies with insights on the occurrence of normalized HB ratios at three different intersection types. The data provided in this paper provide a framework for agencies to use HB ratios to screen different types of intersections for further evaluation.
Flood Exposure, Vulnerability, and Risk Distribution in Urban Areas: Application of Geospatial Data Analytics and Index Development
Authors: Bidadian Behrang , Strager Michael P. , Ghadimi Hodjat , Sharma Maneesh
Published: August 2024

Over the past few decades, cities have experienced increased floods affecting property and threatening human life as a result of a warming planet. There is still an incomplete understanding of the flood risk patterns in urban communities with different socioeconomic characteristics. In this study, we produced separate flood exposure and vulnerability indices based on relevant factors, then combined them as a risk index for Houston, Texas and Charleston, West Virginia. We applied statistical methods to extract the most significant social vulnerability factors in each study area. Finally, we mapped significant hot spots or clusters of high flood risk and compared results to socioeconomically disadvantaged populations. Based on the results, high-risk or 1%-annual-chance floodplains cover 23% of the Houston and 7% of Charleston study areas. Within these floodplains, 13% of the total developed land in Houston and 9% in Charleston are situated. In the event of a 1%-annual-chance flood, an estimated 5% of the total population in Houston and 6% in Charleston may require evacuation. Statistically significant flood risk clusters could only be identified in Houston. The implications from this work help to provide an analysis framework for larger urban areas while offering suggestions for its improvement in smaller populated areas.
Predicting the Compression Capacity of Screw Piles in Sand Using Machine Learning Trained on Finite Element Analysis
Authors: Igoe David , Zahedi Pouya , Soltani-Jigheh Hossein
Published: August 2024

Screw piles (often referred to as helical piles) are widely used to resist axial and lateral loads as deep foundations. Multi-helix piles experience complex interactions between the plates which depend on the soil properties, pile stiffness, helix diameter, and the number of helix plates among other factors. Design methods for these piles are typically highly empirical and there remains significant uncertainty around calculating the compression capacity. In this study, a database of 1667 3D finite element analyses was developed to better understand the effect of different inputs on the compression capacity of screw piles in clean sands. Following development of the numerical database, various machine learning methods such as linear regression, neural networks, support vector machines, and Gaussian process regression (GPR) models were trained and tested on the database in order to develop a prediction tool for the pile compression capacity. GPR models, trained on the numerical data, provided excellent predictions of the screw pile compression capacity. The test dataset root mean square error (RMSE) of 29 kN from the GPR model was almost an order of magnitude better than the RMSE of 225 kN from a traditional theoretical approach, highlighting the potential of machine learning methods for predicting the compression capacity of screw piles in homogenous sands.
Effectiveness of Pelvic Floor Muscle Training for Treating Faecal Incontinence
Authors: Okawa Yohei
Published: August 2024

The purpose of this study is to examine the effect of pelvic floor muscle training on faecal incontinence. Faecal incontinence is a condition in which stool leaks from the anus involuntarily or uncontrollably. Faecal incontinence is common in elderly people and patients with underlying diseases, but the pathophysiology of faecal incontinence is diverse, and treatment methods must be varied accordingly. Among the known treatment methods, in this study, we focused on pelvic floor muscle training, which can be performed in daily life. The literature was searched for papers that present existing knowledge and address current perspectives. Extracted studies included papers that report scientific consensus. After reviewing the literature, it appears that it is possible to effectively train patients to defecate twice a day, approximately 30 min after breakfast and dinner, by having them attempting to defecate, even when there is no such urge. Pelvic floor muscle training can improve urinary and faecal incontinence by strengthening the contractile force of the pelvic floor muscles such as the external anal sphincter and levator ani. However, the specific types of faecal incontinence patients that can effectively benefit from pelvic floor muscle training is unclear. It is important for patients to understand the pelvic floor muscle training program and to develop sufficient motivation to continue training at home.
The Novel Anti-Cancer Agent, SpiD3, Is Cytotoxic in CLL Cells Resistant to Ibrutinib or Venetoclax
Authors: Eiken Alexandria P. , Schmitz Elizabeth , Drengler Erin M. , Smith Audrey L. , Skupa Sydney A. , Mohan Kabhilan , Rana Sandeep , Singh Sarbjit , Mallareddy Jayapal Reddy , Mathew Grinu , Natarajan Amarnath , El-Gamal Dalia
Published: August 2024

Background: B-cell receptor (BCR) signaling is a central driver in chronic lymphocytic leukemia (CLL), along with the activation of pro-survival pathways (e.g., NF-κB) and aberrant anti-apoptotic mechanisms (e.g., BCL2) culminating to CLL cell survival and drug resistance. Front-line targeted therapies such as ibrutinib (BTK inhibitor) and venetoclax (BCL2 inhibitor) have radically improved CLL management. Yet, persisting CLL cells lead to relapse in ~20% of patients, signifying the unmet need of inhibitor-resistant refractory CLL. SpiD3 is a novel spirocyclic dimer of analog 19 that displays NF-κB inhibitory activity and preclinical anti-cancer properties. Recently, we have shown that SpiD3 inhibits CLL cell proliferation and induces cytotoxicity by promoting futile activation of the unfolded protein response (UPR) pathway and generation of reactive oxygen species (ROS), resulting in the inhibition of protein synthesis in CLL cells. Methods: We performed RNA-sequencing using CLL cells rendered resistant to ibrutinib and venetoclax to explore potential vulnerabilities in inhibitor-resistant and SpiD3-treated CLL cells. Results: The transcriptomic analysis of ibrutinib- or venetoclax-resistant CLL cell lines revealed ferroptosis, UPR signaling, and oxidative stress to be among the top pathways modulated by SpiD3 treatment. By examining SpiD3-induced protein aggregation, ROS production, and ferroptosis in inhibitor-resistant CLL cells, our findings demonstrate cytotoxicity following SpiD3 treatment in cell lines resistant to current front-line CLL therapeutics. Conclusions: Our results substantiate the development of SpiD3 as a novel therapeutic agent for relapsed/refractory CLL disease.
Priene, a Monumental Disaster in the Aegean: Digital Approaches to the Doric Stoa’s and the Theater’s Lost Evidence
Authors: Giovannini Elisabetta Caterina , Verdiani Giorgio , Cardinali Vieri
Published: August 2024

This paper uses digital approaches to investigate Priene’s (Turkey) archaeological area. The city was built ex novo, after a catastrophic earthquake around 350 BC, on a new site facing the Mediterranean Sea. The city suffered a slow decline following centuries of development and was abandoned after the 12th century. The remains of Priene were discovered in the 17th century, and different excavations and studies have been conducted in the last few centuries. The city’s remains have been studied from various archaeological and historical points of view. It is documented that the city suffered different earthquakes during its existence, as demonstrated by the partial restorations and damage patterns visible within the remains. This contribution offers a methodological and interdisciplinary approach for studying and enhancing archaeological heritage. This paper presents the preliminary results of the first comprehensive digital acquisition of the Aegean city of Priene. The digitization approaches here described focused on digital acquisition and 3D modeling restitution in the form of virtual reconstructions of two monumental buildings: the Doric Stoa near the Temple of Athena Polias and the Theater. The procedure was complementary to the analysis and comprehension of previous numerous studies carried out by British and German institutions, where digital acquisition and restitution techniques have led to the validation of previously obtained results. For the first time, digital models have been used as tools for accessing heterogeneous knowledge, and they have been incorporated into the discourse of archeological studies. Indeed, the interdisciplinary team went beyond archaeological data to attempt to digitally reconstruct monumental complexes and conduct preliminary structural evaluations scientifically.
The Glass Mosaic of S. Agnese fuori le mura: New Tesserae in the Puzzle of Early Medieval Rome
Authors: Silvestri Alberta , Maltoni Sarah , Gianandrea Manuela , Deiana Rita , Croci Chiara
Published: August 2024

The present study, which is part of a wider inter-disciplinary research project on Medieval Rome funded by the Swiss National Science Foundation, focuses on the archaeometric characterisation of glass tesserae from the apse mosaic of the church of S. Agnese fuori le mura, dated to the 7th century AD and never analysed until now. The main aims of the study are the identification of chemical compositions of glassy matrices and colouring/opacifying techniques by means of the combination of micro-textural, chemical, and mineralogical data. In S. Agnese tesserae, the results show the presence of glassy matrices and opacifiers/pigments, typical of both Roman and Late Antique/Early Medieval periods. The technological features identified (in particular, glassy matrices and opacifiers/pigments) allow us to discriminate not only new-production tesserae, i.e., those probably produced in the 7th century for the realisation of the S. Agnese mosaic, but also those obtained from recycling or re-using previous glass. This testifies to a quite complex “puzzle”, unusual in other glass mosaics from the same city and coeval with S. Agnese, supporting further the potentiality of archaeometric studies on glass to uncover the technical and socio-cultural knowledge that underpins its manufacturing, use, re-use, and recycling in the Early Medieval Rome.
Phenotypic and Biochemical Trait Improvement in Husk Tomatoes (Physalis sp.) through EMS-Induced Mutagenesis
Authors: Islam Md Ashraful , Tarannum Fabeeha , Dina Afsana Hossain , Ahmed Minhaz , Haque Md Ahsanul , Ercişli Sezai , Rasul Md Golam , Simsek Duran , Hasan Mehfuz
Published: August 2024

Husk tomatoes are used in salsa and traditional medicine to alleviate illnesses. Market demand requires husk tomato varieties with improved agronomic and physicochemical health benefits. Mutagen application alters plant genomes, creating new traits and genetic diversity. The efficacy of EMS (ethyl methanesulfonate) was examined for morphology, bioactive compounds, and phytochemical improvement. Three husk tomato genotypes representing Physalis philadelphica and Physalis ixocarpa underwent two hours of 1.4% EMS. In addition to yield and yield-related properties, total phenol, antioxidant activity, chlorophyll a and b levels in leaves and fruits, and phytochemical concentrations of Na, Mg, Ca, Mn, Fe, Cu, and K in fruits were measured. Genotype-dependent morphological changes were found. The mutants C1T6 (85 cm) and C1T7 (87.60 cm) were shorter than Control C1 (102 cm). The highest yield was 5.80 g for C1T5; Control C1 produced 3.08. The mutant C2T6 produced the most (5.99 g) compared to its control (2.85 g). Mutants had higher total phenol, antioxidant activity, and leaf/fruit chlorophyll. C1T2 had the highest antioxidant activity (1.19 ng/µL). C2T1 outperformed Control C2 at 1.54 ng/µL phenolic content. C3T2 had the highest Ca content (1822 µg/g), while Control C3 had 861.20 µg/g. Mutations altered phytochemical composition, which can be used to generate nutritionally superior husk tomato varieties. Additionally, scientists will be able to study mutants with advantageous morphological and biochemical traits, enabling extensive research. Furthermore, the mutants will serve as a genetic repository for the progression of breeding procedures.
Minicutting Is an Efficient Method for Blueberry Propagation
Authors: Biasi Luiz Antonio , Pereira Jacquelini Romero , Cosmo Ariane Cristina , Ayub Ricardo Antonio
Published: August 2024

Minicutting has been used for several woody species, presenting greater efficiency than propagation by conventional cutting due to its high yield of propagative material and higher percentage of rooting in minicuttings. This work was carried out to evaluate the efficiency of minicutting techniques for the ‘Bluegem’ blueberry and find the best concentration of IBA for rooting the minicuttings. The minigarden was installed in pots using micropropagated plants. Four collections of minicuttings were carried out between 27 October 2020 and 12 April 2021, and received the following treatments: 0; 2000; 4000; 6000; and 8000 mg L−1 of IBA. The minicutting was carried out in a mist chamber and evaluated after 60 days. The yield of minicuttings increased from the first to the third collection, decreasing in the fourth collection when the plants began to enter dormancy. The rooting of the minicuttings was influenced by the collection time and the application of IBA. Increasing IBA concentration increased the percentage of rooted minicuttings and root dry mass to concentrations close to 5000 mg L−1 on almost all collection dates. High concentrations of IBA reduced the percentage of sprouted minicuttings and leaf retention and increased mortality. It is recommended for the ‘Bluegem’ blueberry minicutting to apply 5000 mg L−1 of IBA.
Social Media Topic Classification on Greek Reddit
Authors: Mastrokostas Charalampos , Giarelis Nikolaos , Karacapilidis Nikos
Published: August 2024

Text classification (TC) is a subtask of natural language processing (NLP) that categorizes text pieces into predefined classes based on their textual content and thematic aspects. This process typically includes the training of a Machine Learning (ML) model on a labeled dataset, where each text example is associated with a specific class. Recent progress in Deep Learning (DL) enabled the development of deep neural transformer models, surpassing traditional ML ones. In any case, works of the topic classification literature prioritize high-resource languages, particularly English, while research efforts for low-resource ones, such as Greek, are limited. Taking the above into consideration, this paper presents: (i) the first Greek social media topic classification dataset; (ii) a comparative assessment of a series of traditional ML models trained on this dataset, utilizing an array of text vectorization methods including TF-IDF, classical word and transformer-based Greek embeddings; (iii) a fine-tuned GREEK-BERT-based TC model on the same dataset; (iv) key empirical findings demonstrating that transformer-based embeddings significantly increase the performance of traditional ML models, while our fine-tuned DL model outperforms previous ones. The dataset, the best-performing model, and the experimental code are made public, aiming to augment the reproducibility of this work and advance future research in the field.
Phylogenetic and Comparative Analysis of Cryptochironomus, Demicryptochironomus and Harnischia Inferred from Mitogenomes (Diptera: Chironomidae)
Authors: Liu Wenbin , Wang Chengyan , Wang Jingyuan , Tang Yaning , Pei Wenxuan , Ge Xinyu , Yan Chuncai
Published: August 2024

(1) Background: Mitochondrial genomes have been extensively employed as a crucial marker in numerous dipteran families for understanding phylogenetics and systematics relations, thereby playing a pivotal role in molecular biology studies. The phylogenetic relationship of the Harnischia generic complex remains contentious due to the paucity of taxonomic and molecular data. Specifically, the evolutionary relationships among Cryptochironomus, Demicryptochironomus, and Harnischia are still unclear. (2) Methods: In this study, Polypedilum and Endochironomus were used as outgroups to analyze phylogenetic relationships among Cryptochironomus, Demicryptochironomus, and Harnischia, mitogenomes of four Cryptochironomus, two Demicryptochironomus, two Harnischia, and two Cladopelma were newly sequenced. Subsequently, we conducted a thorough analysis of the nucleotide composition, sequence length, and evolutionary rate. (3) Results: All mitogenomes exhibited structural conservation, with all genes consistently arranged in the identical order as that of the ancestral mitogenome. Nucleotide composition varied significantly among different genes, and the control region displayed the highest A + T content. All protein-coding genes undergo rigorous purification selection, with the ATP8 gene exhibiting the most rapid evolutionary rate among them. Utilizing Bayesian Inference (BI) and Maximum Likelihood (ML) methods across various databases, we reconstructed the phylogenetic relationships among the genera within the Harnischia generic complex, drawing insights from an analysis of 14 mitochondrial genomes. (4) Conclusions: Our results showed that the monophyly of the genera Harnischia was well supported in all topologies; Cryptochironomus is sister to Demicryptochironomus.
Impact of Krill Meal on Enhancing Skin Mucosal Health and Reducing Sea Lice in Atlantic Salmon
Authors: Kaur Kiranpreet , Okubamichael Mearge A. , Eide Susanne Håvardstun , Pittman Karin
Published: August 2024

The salmon industry’s challenges with skin health and sea lice emphasize the necessity for fish-sensitive measures like functional nutrition to boost skin health and fish welfare. The present study investigated the efficacy of krill meal (KM) for skin mucosal health and sea lice in Atlantic salmon (170 g). Following an 8-week feeding period, in duplicate tanks, on test diets (8% KM, 12% KM, and the control group), fish underwent a 2-week sea lice challenge, reaching 350 g. The 8% KM diet group had thicker skin epithelium (72.3 µ) compared to the 12% KM (51.3 µ) and the control groups (43.8 µ) after 8 weeks. Additionally, skin mucosal health parameters—cell size (208 µ2), cell density (25.2%), and defense activity (1.19)—were significantly enhanced with 8% KM compared to the 12% KM (cell size: 162.3 µ2, cell density: 17%, defense activity: 1.04) and the control group (cell size: 173.5 µ2, cell density: 16.4%, defense activity: 0.93). Furthermore, fish fed with 8% KM significantly showed the lowest sea lice, along with reduced cell size while maintaining a high abundance of skin mucous cells, suggesting efficient turnover of the skin mucosal layer to remove sea lice effectively. This study highlights the potential of KM as part of a functional nutrition strategy to enhance skin mucosal health and mitigate sea lice challenges.
Non-Zoonotic Transmission of Sporotrichosis: A Translational Study of Forty-Three Cases in a Zoonotic Hyperendemic Area
Authors: Nahal Juliana , Coelho Rowena Alves , Almeida-Silva Fernando , Bernardes-Engemann Andréa Reis , Procópio-Azevedo Anna Carolina , Rabello Vanessa Brito de Souza , Loureiro Rayanne Gonçalves , Freitas Dayvison Francis Saraiva , do Valle Antonio Carlos Francesconi , de Macedo Priscila Marques , Oliveira Manoel Marques Evangelista , Silva Margarete Bernardo Tavares da , Zancopé-Oliveira Rosely Maria , Almeida-Paes Rodrigo , Gutierrez-Galhardo Maria Clara , Figueiredo-Carvalho Maria Helena Galdino
Published: August 2024

Over the past two decades, zoonotic sporotrichosis transmitted by naturally infected cats has become hyperendemic in Rio de Janeiro, Brazil. Sporothrix brasiliensis is the main agent involved. However, there are other forms of transmission of sporotrichosis. The aim of this study was to evaluate and associate the epidemiological, clinical and therapeutic data and the susceptibility of Sporothrix spp. to antifungal drugs in 43 non-zoonotic sporotrichosis cases. Forty-three clinical strains of Sporothrix were identified by partial sequencing of the calmodulin gene. An antifungal susceptibility test of amphotericin B, terbinafine, itraconazole, posaconazole and isavuconazole was performed according to the broth microdilution method. Most patients were male (55.8%). Regarding the source of infection, 21 patients (48.8%) reported trauma involving plants and/or contact with soil. Sporothrix brasiliensis was the predominant species (n = 39), followed by S. globosa (n = 3) and S. schenckii (n = 1). Sporothrix brasiliensis was associated with all the sources of infection, reinforcing previous data showing the presence of this species in environmental sources, as well as with all the clinical forms, including severe cases. One clinical strain of Sporothrix brasiliensis was classified as a non-wild-type strain for amphotericin B and another for itraconazole. S. schenckii was classified as non-WT for all the antifungals tested. In this context, it is important to emphasize that non-zoonotic sporotrichosis still occurs in the state of Rio de Janeiro, with S. brasiliensis as the main etiological agent, primarily associated with infections acquired after traumatic inoculation with plants and/or soil contact, followed by S. globosa and S. schenckii. In addition, non-WT strains were found, indicating the need to monitor the antifungal susceptibility profile of these species. It is crucial to investigate other natural sources of S. brasiliensis to better understand this fungal pathogen and its environment and host cycle.
Effect of Bias Arc on Microstructure and Corrosion Resistance of Q235/304 Dissimilar-Steel-Welded Joints
Authors: Li Lin , Ma Rongcai , Yang Cheng , Liu Tie , Sun Guorui , Li Wenlong , Jia Chuanchuan , Chen Chao , Hu Fengya
Published: August 2024

To fully exploit the advantages of steel, the welding connection of dissimilar steels has been developed. In this work, the metallographic microstructures, elemental distributions, and electrochemical corrosion properties of the Q235 and 304 welds under different bias arcs were investigated. The arc bias caused the Q235-side heat-affected zone to widen, the microstructure consisted of ferrite and pearlite, and the ratio varied with decreasing distance from the fusion line. Elemental scans show that Cr and Ni concentration gradients exist near the fusion line. The 304-stainless-steel-side heat-affected zone was mainly composed of austenite grains, and the fusion zone was narrower but prone to cracking. Electrochemical tests revealed that 304 stainless steel had the best corrosion resistance, while Q235 had the worst corrosion resistance, and that the welded joints with an arc bias toward the 304 side had the best corrosion resistance. The samples’ the passivation film which formed via electrochemical polarization had limited stability, but the over-passivation potential could be used as a reference for corrosion resistance. Overall, the arc bias and weld material properties significantly affected the microstructure and corrosion resistance of the joints.
A Methodological Framework for Managing the Alarms in Wind Turbine Control and Data Acquisition Systems for Failure Analysis
Authors: Castillo-Navarro Javier , Kristjanpoller Fredy , Mena Rodrigo , Godoy David R. , Viveros Pablo
Published: August 2024

Renewable energies have a fundamental role in sustainability, with wind power being one of the most important due to its low production costs. Modern wind turbines are becoming bigger and more complex, and their operation and maintenance must be as optimized as possible. In this context, supervisory control and data acquisition systems provide valuable information, but there is no precise methodology for their analysis. To overcome this need, a generalized methodology is proposed to determine the recognition of critical subsystems through alarm analysis and management. The proposed methodology defines each subsystem in a precise way, shows the indicators for the alarms, and presents a theoretical framework for its application using the quantity and activation times of alarms, along with the real downtime. It also considers the transition of states when the wind turbine is operationally inactive. To highlight the proposal’s novelty, the methodology is exemplified with a case study from the Southern Cone, applying the method through a data management and analysis tool. Four critical subsystems were found, with the alarms of wind vanes, anemometers, and emergency speeds being of relevance. The indicators and the graphical tools recommended helped guide the applied analysis.
T2-LSTM-Based AI System for Early Detection of Motor Failure in Chemical Plants
Authors: Wang Chien-Chih
Published: August 2024

In the chemical industry, stable reactor operation is essential for consistent production. Motor failures can disrupt operations, resulting in economic losses and safety risks. Traditional monitoring methods, based on human experience and simple current monitoring, often need to be faster and more accurate. The rapid development of artificial intelligence provides powerful tools for early fault detection and maintenance. In this study, the Hotelling T2 index is used to calculate the root mean square values of the normal motor’s x, y, and z axes. A long short-term memory (LSTM) model creates a trend model for the Hotelling T2 index, determining an early warning threshold. Current anomaly detection follows the ISO 10816-1 standard, while future anomaly prediction uses the T2-LSTM trend model. Validated at a chemical plant in Southern Taiwan, the method shows 98% agreement between the predicted and actual anomalies over three months, demonstrating its effectiveness. The T2-LSTM model significantly improves the accuracy of motor fault detection, potentially reducing economic losses and improving safety in the chemical industry. Future research will focus on reducing false alarms and integrating more sensor data.
Second-Order Terminal Sliding Mode Control for Trajectory Tracking of a Differential Drive Robot
Authors: Cao Tuan Ngoc Tran , Pham Binh Thanh , Nguyen No Tan , Vu Duc-Lung , Truong Nguyen-Vu
Published: August 2024

This paper proposes a second-order terminal sliding mode (2TSM) approach to the trajectory tracking of the differential drive mobile robot (DDMR). Within this cascaded control scheme, the 2TSM dynamic controller, at the innermost loop, tracks the robot’s velocity quantities while a kinematic controller, at the outermost loop, regulates the robot’s positions. In this manner, chattering is greatly attenuated, and finite-time convergence is guaranteed by the second-order TSM manifold, which involves higher-order derivatives of the state variables, resulting in an inherently robust as well as fast and better tracking precision. The simulation results demonstrate the merit of the proposed control methods.
Integrated Evaluation Method of Bus Lane Traffic Benefit Based on Multi-Source Data
Authors: Qiao Wufeng , Yang Zepeng , Peng Bo , Cai Xiaoyu , Zhang Yuanyuan
Published: August 2024

Bus lanes are an important measure for improving the quality of bus service and the efficiency of transportation systems. A scientific and reasonable evaluation of the overall traffic operation efficiency of the bus priority road section is helpful to fully understand the improvement effect of the introduction of bus lanes on traffic operation. To comprehensively and objectively evaluate the traffic benefits of bus lanes, the Delphi and grey correlation methods were used to construct a comprehensive weight calculation model of the indicators. The weights of eight traffic benefit evaluation indicators at the two levels of buses and general traffic were calculated, and the weights were then optimized using the target optimization model. Combined with different weight indexes, the evaluation of the traffic benefit level of the bus lane was realized using the matter-element extension model based on the improvement in the sticking progress. The bus lanes of the Daping-Yangjiaping, Huanghuayuan interchange-Luneng turntable, and Dashiba-Hongqihegou routes in the main urban area of Chongqing were used for verification. The results show that the traffic benefits of the three case areas have been improved to a certain extent after the construction of bus lanes, but the benefit level has not changed. Through the analysis of various operating indicators, the weaknesses that affect the traffic efficiency can be obtained, and then the decision-making basis for the implementation and improvement of the bus lane optimization scheme can be provided.
Myostatin Changes in Females with UI after Magnetic Stimulation: A Quasi-Experimental Study
Authors: Filippini Maurizio , Bugli Simona , Biordi Nicoletta , Muccioli Fausto , Reggini Valentina , Benedettini Milena , Migliore Serena , Pieri Laura , Comito Alessandra , Pennati Beatrice Marina , Fusco Irene , Isaza Pablo Gonzalez , Dominguez Antonio Posada , Zingoni Tiziano , Farinelli Miriam
Published: August 2024

Background and Objectives: Urinary incontinence (UI) is the involuntary loss of urine caused by a weakness in the pelvic floor muscles (PFMs) that affects urethral closure. Myostatin, which prevents the growth of muscles, is a protein expressed by human skeletal muscle cells. Indeed, it has been observed that myostatin concentration rises during skeletal muscle inactivity and that suppressing serum myostatin promotes muscle growth and strength. Furthermore, therapeutic interventions that reduce myostatin signalling may lessen the effects of aging on skeletal muscle mass and function. For this reason, the aim of the study was to assess if flat magnetic stimulation technology affects serum myostatin levels, as myostatin can block cell proliferation at the urethral sphincter level. Materials and Methods: A total of 19 women, 75% presenting stress urinary incontinence (SUI) and 25% urgency urinary incontinence (UUI), were enrolled. A non-invasive electromagnetic therapeutic system designed for deep pelvic floor area stimulation was used for eight sessions. Results: The ELISA (enzyme linked immunosorbent assay) test indicated that the myostatin levels in blood sera had significantly decreased. Patients’ ultrasound measurements showed a significant genital hiatus length reduction at rest and in a stress condition. The Pelvic Floor Bother Questionnaire consistently revealed a decrease in mean scores when comparing the pre- and post-treatment data. Conclusions: Effective flat magnetic stimulation reduces myostatin concentration and genital hiatus length, minimizing the severity of urinary incontinence. The results of the study show that without causing any discomfort or unfavourable side effects, the treatment plan significantly improved the PFM tone and strength in patients with UI.
Gastrointestinal Ultrasound in Infectious Diseases: A Comprehensive Review
Authors: Aprile Francesca , Vangeli Marcello , Allocca Mariangela , Zilli Alessandra , Argollo Marjorie Costa , D’amico Ferdinando , Parigi Tommaso Lorenzo , Danese Silvio , Furfaro Federica
Published: August 2024

Infectious diseases affecting the gastrointestinal tract often present diagnostic challenges due to the variability in clinical manifestations and overlapping symptoms. Ultrasound imaging has emerged as a valuable tool in the assessment of gastrointestinal pathologies, offering non-invasive and real-time visualization of anatomical structures. This review aims to explore the role of ultrasound in the diagnosis and management of infectious diseases involving the gastrointestinal tract. We discuss the imaging features of various infectious etiologies, such as bacterial, viral, and parasitic infections, highlighting characteristic findings on ultrasound scans. Additionally, we provide insights into the utility of ultrasound for the assessment of treatment response. Through a comprehensive analysis of existing literature and clinical case studies, this review underscores the significance of ultrasound imaging as a frontline modality in the diagnosis and management of infectious diseases affecting the gastrointestinal tract.
Evaluation of the Effect of Different Inhalation Agents on Ovaries with Hyperthermic Intraperitoneal Chemotherapy: An Experimental Study
Authors: Şen Özlem , Aslan Esra , Kalaycı Dilek , Küçük Ayşegül , Başkan Semih , Sezen Şaban Cem , Arslan Mustafa , Ünal Yusuf , Tosun Murat
Published: August 2024

Background and Objectives: Cisplatin is a chemotherapeutic drug that is frequently used with hyperthermic intraperitoneal chemotherapy (HIPEC). Cisplatin-induced gonadotoxicity leads to a depletion of the ovarian reserve, causing premature ovarian insufficiency. This study aimed to investigate the impact of hyperthermia on cisplatin-induced ovarian toxicity and to determine whether sevoflurane or desflurane could be a more appropriate choice of anesthetic for reducing ovarian toxicity in HIPEC procedures. Materials and Methods: A total of 24 New Zealand rabbits were randomly divided into 4 groups as follows: Group H: HIPEC (cisplatin 7 mg/kg), Group HS: HIPEC (cisplatin 7 mg/kg) + 3% sevoflurane (2 h), Group HD: HIPEC (cisplatin 7 mg/kg) + 6% desflurane (2 h), and Group C: Control (Saline). Two catheters were placed in the abdominal cavity, the upper and lower quadrants. The perfusate was heated to 42 °C and given intraperitoneally for 90 min at a rate of 4 mL/min by catheters. Ovarian tissues were collected for Hematoxylin and Eosin staining and immunohistochemical analysis. Results: The primary follicle number was significantly decreased in Group H and HD compared to the C group (p < 0.05). Bax expression was high in Group H, according to all groups (p < 0.0001). Bax expression significantly decreased after sevoflurane, compared to group H (p = 0.012). The bcl-2 expression decreased in all groups compared to the C group. Bcl-2 expression was increased with sevoflurane compared to the H group (p = 0.001). Caspase 3 and p53 expression increased in all groups compared to the C group. p53 expression was decreased with sevoflurane and desflurane compared to the H group (p = 0.002, p = 0.008, respectively). Conclusions: The application of cisplatin with the intraoperative HIPEC method caused ovarian damage. According to our results, sevoflurane anesthesia could be a better option in mitigating cell death I the n ovarian reserve (follicle count) and apoptosis in the HIPEC procedures. We think that our findings should be supported by large series of clinical and experimental studies.
Preventing Postoperative Catheter-Related Bladder Discomfort (CRBD) with Bladder Irrigation Using 0.05% Lidocaine Saline Solution: Monitoring with Analgesia Nociception Index (ANI) after Transurethral Surgery
Authors: Lin Chia-Heng , Lu I-Cheng , Gau Tz-Ping , Cheng Kuang-I , Chen Hsin-Ling , Hu Ping-Yang
Published: August 2024

(1) Background and Objectives: Catheter-related bladder discomfort (CRBD), a common and distressing consequence of indwelling urinary catheters, can significantly impact postoperative recovery. This study aimed to determine the effectiveness of bladder irrigation with a 0.05% lidocaine normal saline solution for the prevention of CRBD following transurethral surgery. (2) Materials and Methods: In this randomized, double-blind, placebo-controlled trial, patients were assigned to either a control group receiving normal saline or a treatment group receiving 0.05% lidocaine (2% lidocaine 25 mL in 1000 mL saline) for bladder irrigation. Both groups were administered fentanyl (1 μg/kg) for analgesia at the end of the procedure. The primary endpoint was the assessment of the incidence and severity of CRBD upon awakening within the first 6 h postoperatively, using a four-grade scale based on the patients’ reports of discomfort. (3) Results: Out of 79 patients completing the study, the incidence of moderate to severe CRBD was significantly lower in the lidocaine group (5.1%, 2/39) compared to the control group (25%, 10/40) at 10 min after waking from anesthesia (p = 0.014). Furthermore, the lidocaine group experienced significantly less CRBD at 1 and 2 h postoperative (2.6% and 0%, respectively) compared to the control group (20% and 10%, respectively) (p = 0.015, p = 0.043), with no significant differences at 6 h (p = 0.317). (4) Conclusions: The results suggest that bladder irrigation with 0.05% lidocaine reduces the occurrence of moderate to severe CRBD by nearly 80% in the initial 2 h postoperative period after transurethral surgery.
Application of Online Flow Cytometry for Early Biofouling Detection in Reverse Osmosis Membrane Systems
Authors: Pulido Beltran Laura , Vrouwenvelder Johannes S. , Farhat Nadia
Published: August 2024

Biofouling poses a significant challenge to reverse osmosis (RO) membrane systems, necessitating timely detection for effective control. This study evaluated the efficacy of flow cytometry (FCM) for early biofilm detection in comparison to conventional system performance indicators. Feed channel pressure drop and total cell concentration in the Membrane Fouling Simulator (MFS) flowcell cross-flow outlet water were monitored over time as early biofouling indicators. The results demonstrated the potential of increased bacterial cell concentration in cross-flow outlet water as a reliable indicator of biofouling development on the membrane. Water outlet monitoring enabled faster biofouling detection compared to feed channel pressure drop. Membrane autopsy confirmed biofilm presence prior to the pressure drop increase, highlighting the advantage of early detection in implementing corrective measures. Timely intervention reduces operational costs and energy consumption in membrane-based processes.
Sub-Antarctic Macroalgae as Feed Ingredients for Sustainable Ruminant Production: In Vitro Total Gas and Methane Production
Authors: Robles-Jimenez Lizbeth E. , Ghavipanje Navid , Ulloa Ashley , Rivero Ali , Gallardo Pablo , Gonzalez Ronquillo Manuel
Published: August 2024

The sustainable meeting of the global quest for ruminant intensification dictates the need to identify alternative, eco-friendly, and safe feed ingredients. In this sense, macroalgae offer a new paradigm in sustainable ruminant feed supply. This study aimed to investigate the potential of sub-Antarctic macroalgae, including Lessonia flavicans, Macrocystis pyrifera, Gigartina skottbergii, and Ulva Lactuca, regarding their chemical composition, in vitro gas production, and CH4 production. A completely randomized design consisted of a 96 h (h) incubation that included four different species and a control (alfalfa hay) with buffered rumen fluid. In vitro total gas, fermentation characteristics, and CH4 production were evaluated. The highest and the lowest crude protein (CP) contents were for U. lactuca (185.9 g/kg) and G. skottsbergi (86 g/kg), respectively (p < 0.0001). All macroalage had lower levels of natural detergent fiber (NDF) and acid detergent fiber (ADF) compared to alfalfa hay (p < 0.0001). The highest potential of gas production (b) was for M. pyriphera (162.8 mL gas/g DM), followed by alfalfa (119.3 mL gas/g DM). However, G. skottsbergi and M. pyriphera showed the highest dry matter degradability at 96 h (68.49 and 67.62 mg/100 mg, respectively; p < 0.0001) and microbial crude protein (679.8 and 669.8 mg/g, respectively, p < 0.0001). All four tested algae produced lower amounts of methane compared to alfalfa hay (p < 0.0001). After 24 h of incubation, M. pyriphera, L. flavicons, G. skottsbergi, and U. lactuca reduced CH4 by 99.7%, 98.6%, 92.9%, and 79.8%, respectively, when compared with the control. Also, all tested algae had lower (p = 0.0001) CH4 production (ml CH4/g Dry matter degradability, DMD) than alfalfa hay. The current results suggest that M. pyriphera and L. flavicons are promising feed additives for ruminants with eco-friendly production and acceptable CP content and DMD that could effectively mitigate CH4 emissions. Overall, these findings suggest that macroalgae hold promise as a substitute feed source for sustaining ruminant production at the onset of global warming.
Strain-Dependent Adhesion Variations of Shouchella clausii Isolated from Healthy Human Volunteers: A Study on Cell Surface Properties and Potential Probiotic Benefits
Authors: Dhakephalkar Tanisha , Pisu Vaidehi , Margale Prajakta , Chandras Siddhi , Shetty Deepa , Wagh Shilpa , Dagar Sumit Singh , Kapse Neelam , Dhakephalkar Prashant K.
Published: August 2024

The probiotic potential of Shouchella clausii is widely recognized, but little is known about its adhesive properties. Hence, this study aims to investigate the adhesion potential and cell surface properties of four human-origin S. clausii strains (B619/R, B603/Nb, B106, and B637/Nm). We evaluated epithelial adhesion, Extracellular Matrix (ECM) binding, aggregation ability, and cell surface hydrophobicity and used genome analysis for validation. Our results demonstrate that adhesion capability is a strain-specific attribute, with significant variations observed among the four strains. B619/R, B603/Nb, and B106 displayed stronger adhesion properties than B637/Nm. Supplementary adhesion assays showed that B637/Nm displayed high hydrophobicity, significant auto-aggregation, and significant mucin-binding abilities. Conversely, B619/R, B603/Nb, and B106 had mildly hydrophobic surfaces and low aggregation abilities. Genome annotation revealed the presence of various adhesion proteins in four strains. Notably, the reduced adhesion potential of B637/Nm was supported by the absence of the cell wall surface anchor family protein (LPxTG motif), which is crucial for interactions with intestinal epithelial cells or mucus components. Further, docking studies provided insights into the interaction of adhesion proteins with gut mucins. These findings contribute to a better understanding of how S. clausii strains interact with the gut environment, facilitating the development of probiotic formulations tailored for improved gut health and well-being.
Application of Target Detection Based on Deep Learning in Intelligent Mineral Identification
Authors: He Luhao , Zhou Yongzhang , Zhang Can
Published: August 2024

In contemporary society, rich in mineral resources, efficiently and accurately identifying and classifying minerals has become a prominent issue. Recent advancements in artificial intelligence, particularly breakthroughs in deep learning, have offered new solutions for intelligent mineral recognition. This paper introduces a deep-learning-based object detection model for intelligent mineral identification, specifically employing the YOLOv8 algorithm. The model was developed with a focus on seven common minerals: biotite, quartz, chalcocite, silicon malachite, malachite, white mica, and pyrite. During the training phase, the model learned to accurately recognize and classify these minerals by analyzing and annotating a large dataset of mineral images. After 258 rounds of training, a stable model was obtained with high performance on key indicators such as Precision, Recall, mAP50, and mAP50–95, with values stable at 0.91766, 0.89827, 0.94300, and 0.91696, respectively. In the testing phase, using samples provided by the Geological and Mineral Museum at the School of Earth Sciences and Engineering, Sun Yat-sen University, the model successfully identified all test samples, with 83% of them having a confidence level exceeding 87%. Despite some potential misclassifications, the results of this study contribute valuable insights and practical experience to the development of intelligent mineral recognition technologies.
Petrogenesis and Geodynamic Mechanisms of Porphyry Copper Deposits in a Collisional Setting: A Case from an Oligocene Porphyry Cu (Au) Deposit in Western Yangtze Craton, SW China
Authors: Yang Mimi , Li Xingyuan , Chi Guoxiang , Song Hao , Xu Zhengqi , Zhao Fufeng
Published: August 2024

The Xifanping deposit is a distinct Cenozoic porphyry Cu (Au) deposit located in the Sanjing porphyry metallogenic belt 100–150 km east of the JinshajFiang fault in the western Yangtze craton. We present new zircon U–Pb–Lu–Hf isotopic studies and geochemical data of the ore-bearing quartz monzonite porphyry from the Xifanping deposit to determine their petrogenesis and geodynamic mechanisms. LA–ICP–MS zircon U–Pb dating yielded precise emplacement ages of 31.87 ± 0.41 Ma (MSWD = 0.86) and 32.24 ± 0.61 Ma (MSWD = 1.8) for quartz monzonite porphyry intrusions, and 254.9 ± 5.1 Ma (MSWD = 1.7) for inherited zircons of the monzonite porphyry. The ore-bearing monzonite porphyry is characterized by high-K calc–alkaline to shoshonite and peraluminous series, relatively enriched in light over heavy REEs, with no distinct Eu anomalies, as well as enrichment in LILEs and depletion of HFSEs, with adakitic affinities. The zircon Lu–Hf isotope data ranged from εHf(t) values of −2.94 to +3.68 (average −0.47) with crustal model (TDM2) ages ranging from 0.88 to 1.30 Ga, whereas the inherited zircons displayed positive εHf(t) values ranging from +1.83 to +7.98 (average +5.82), with crustal model (TDM2) ages ranging from 0.77 to 1.17 Ga. Results suggest that the Xifanping porphyry Cu (Au) deposit is related to two periods of magmatic activities. Early magmas were generated from the Paleo-Tethys oceanic subduction during the Late Permian. The subsequent porphyry magma was likely formed by the remelting of previously subduction-modified arc lithosphere, triggered by the continental collision between the Indian and Asian plates in the Cenozoic. The deep magmas and late hydrothermal fluids took advantage of the early magma transport channels along tectonically weak zones during the transition from an extrusive to an extensional–tensional tectonic environment. Early dikes from remelted and assimilated crust contributed to the two age ranges observed in the porphyry intrusions from the Xifanping deposit. The juvenile lower crust materials of the early magmatic arc were potential sources of the Cenozoic porphyry magmas, which has significant implications for mineral exploration and the geological understanding of porphyry Cu deposits in this region.