bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flying in air ducts
Authors: Martin Thomas , Guénard Adrien , Tempez Vladislav , Renaud Lucien , Raharijanona Thibaut , Ruffier Franck , Mouret Jean-Baptiste 
Published: October 2024

Abstract

Air ducts are integral to modern buildings but are challenging to access for inspection. Small quadrotor drones offer a potential solution, as they can navigate both horizontal and vertical sections and smoothly fly over debris. However, hovering inside air ducts is problematic due to the airflow generated by the rotors, which recirculates inside the duct and destabilizes the drone, whereas hovering is a key feature for many inspection missions. In this article, we map the aerodynamic forces that affect a hovering drone in a duct using a robotic setup and a force/torque sensor. Based on the collected aerodynamic data, we identify a recommended position for stable flight, which is not the center of a circular duct. We then develop a neural network-based positioning system that leverages low-cost time-of-flight sensors. By combining these aerodynamic insights and the data-driven positioning system, we show that a small quadrotor drone (here, 180 mm) can hover and fly inside small air ducts, starting with a diameter of 350 mm. These results open a new and promising application domain for drones.
Monitoring of Drip Irrigation With Autonomous Photovoltaic Pumping
Authors: KEPP NAILA CRISTINA , BOAS MARCIO ANTONIO VILAS , COSSICH VINICIUS , LOPES ALLAN REMOR , HAUPHENTAL SONI 
Published: October 2024

Abstract

The performance of new irrigation system configurations can be assessed by applying statistical process control techniques. The aim of this research was to use statistical process control to investigate variations in the application uniformity of three irrigation systems that differed according to the manufacturer and, above all, the thickness of the hose. The research was carried out in a protected environment at the Irrigation and Fertigation Laboratory (LIF), Cascavel - PR. The experiment was conducted in a DIC, in which three dripper models were evaluated (P1 from Irritec 2.1 L.h-1; Aries from Netafim and P1 from Irritec 1.1 L.h-1) powered by solar energy. The results show that when sizing a drip irrigation system with direct, autonomous photovoltaic pumping, it is advisable to design a higher working pressure than that recommended by the manufacturer, and that hoses with a thicker wall are more suitable for this design configuration. Therefore, the hydraulic power values must be taken into account in conjunction with the application uniformity values.
Knowledge Mapping for Prediction of Spontaneous Preterm Birth
Authors: Shen Hui , Zhang Lihe , Bai Han , Wu Lihong , Du Liu , Xie Hongning 
Published: October 2024

Abstract

Background
Preterm birth (PTB) before 37 weeks gestation, especially spontaneous premature birth (sPTB), poses significant global health challenges, with rising rates linked to advanced and multiple pregnancies. Despite efforts to understand sPTB and biomarkers like cervical length and fetal fibronectin, accurate prediction is still difficult to achieve. Recent research in academic journals has focused on sPTB prediction, prompting our bibliometric analysis to understand the current situation and explore the new research direction.
Methods
We used keywords in the Web of Science Core Collection (WoSCC) to search for articles related to sPTB prediction from 2004 to 2023. Subsequently, we primarily employed three distinct software tools (VOSviewer, CiteSpace, and Python) for conducting this bibliometric analysis.
Results
Focusing on sPTB as the primary subject, a total of 647 papers have been published in 136 academic journals. There are the most publications from The United States (n = 245, 39.26%), and the University of London contributed the most publications (n = 57, 8.81%). The American Journal of Obstetrics and Gynecology is the most productive academic journal on sPTB prediction [n = 74, 11.44%; impact factor (IF) = 8.7]. Through the co-occurrence and cluster analysis, we found that recent research has focused on is “pamg-1”, “uterocervical angle”, “twin pregnancy”, “quantitative ultrasound”, and “lactobacillus iners”.
Conclusion
We utilized bibliometric software to perform a comprehensive analysis of the literature concerning sPTB prediction. Broadly, the primary focus of future sPTB prediction lies in the application of novel ultrasound and biological markers, as well as in predicting sPTB in twin pregnancies.
Oregano essential oil has the potential to reduce the virulence of Vibrio parahaemolyticus causing acute hepatopancreatic necrosis disease (AHPND) in Penaeus vannaei
Authors: Rodríguez Jenny , Domínguez-Borbor Cristóbal , Gallardo-Matus José , Sánchez-Rodríguez Aminael , Salinas Jaqueline F. , Sonnenholzner Stanislaus 
Published: October 2024

Abstract

Acute Hepatopancreatic Necrosis Disease (AHPND), caused by various species of Vibrio, results in significant mortality rates in global penaeid shrimp aquaculture. While antibiotics are commonly employed to combat this disease, concerns about the rapid emergence of resistant strains and their potential adverse effects on human health and the environment are rising. In this context, plant-derived essential oils have shown promising potential for controlling vibriosis in shrimp farming. This study investigated the antivirulence effects of oregano essential oil (OEO) at sub-minimum inhibitory concentrations (sub-MIC) on three virulence phenotypes (exopolysaccharide production, biofilm formation, and swarming motility) in V. parahaemolyticus the causative agent of AHPND. The antivirulence effect of OEO was validated through a challenge test by infecting Penaeus vannamei with V. parahaemolyticus cultured with and without OEO. Additionally, a transcriptomic analysis was performed to compare the transcriptional regulation of V. parahaemolyticus with and without OEO addition to identify therapeutic targets at the molecular level. The three virulence phenotypes were significantly inhibited (P < 0.05), with their effect being concentration-dependent. In the in vivo challenge, shrimp mortality infected with V. parahaemolyticus cultured with OEO (56 ± 5%) was significantly (P < 0.05) lower than in the control group (93 ± 5%). Transcriptomic analysis revealed 89 differentially expressed genes (DEGs) downregulated, associated with membrane integrity, ribosomes, motility, transport, type VI secretion system (T6SS), and enzymes involved in energy metabolism, and 94 DEGs upregulated, linked to biosynthetic processes, regulatory proteins, osmoadaptation, multidrug efflux transporters, ABC transporters, and zinc and nitrogen transport. These findings suggest that OEO targets multiple therapeutic pathways, inhibiting V. parahaemolyticus virulence. Our study demonstrates the significant antivirulence effect of OEO on V. parahaemolyticus, underscoring OEO's potential as a viable and eco-friendly alternative to traditional antibiotics for controlling AHPND in shrimp aquaculture.
Multi-scale Feature Enhancement Pyramid,Enhance the detection capability for small targets.
Authors: shi jin yu , chen hao 
Published: October 2024

Abstract

Underwater object detection has emerged as a pivotal technological challenge, playing an indispensable role in various application fields such as underwater structure maintenance, marine ecological protection, and ocean engineering projects. However, in practical application scenarios, underwater images are often complex and variable, with target objects typically being small in size. In light of this, this paper optimizes the general lightweight object detection model RT-DETR, addressing the issue of poor detection performance for small targets on traditional detection layers P3, P4, and P5. Traditional methods tend to add a P2 detection layer to enhance the detection capability for small targets, but this also introduces a series of problems, such as increased computational burden and longer post-processing time. Therefore, there is an urgent need to develop an effective feature pyramid structure specifically tailored for small targets. Based on the original Continuous Convolutional Feature Fusion (CCFF), this paper proposes an improved Multi-scale Feature Enhancement Pyramid (MFEP). Unlike the traditional approach of adding a P2 detection layer, we utilize the P2 feature layer to extract features rich in small target information through Spatial Pyramid Depthwise Convolution (SPDConv) and fuse them with the P3 and P4 layers. Subsequently, the fused feature maps undergo processing by a meticulously designed Small Object Enhancement Module. Experimental results on the DUO and RUOD datasets demonstrate that the proposed model exhibits excellent performance in underwater small object detection.
The Multifaceted Role of Epicardial and Pericardial Adipose Tissue in Human Health: a Mendelian randomization study
Authors: Li Fuhai H , Ma Kezhong , Luo Wei , Liu Wenheng , Zhang Jidong , Zhang Wenzhong , Zhu Tongjian , Guo Mengqi Q , Xu Yan 
Published: October 2024

Abstract

Background
The influence of epicardial adipose tissue (EAT) on cardiovascular health appears to be modulated by age, metabolic status, and underlying cardiac pathology.The relationship between EAT and pericardial adipose tissue (PAT) remains unclear.The impact of epicardial and pericardial adipose tissue (EPAT) on human health remains unclear. This study aimed to elucidate the causal relationships between EPAT and various health outcomes using large-scale genetic data.
Methods
We conducted phenome-wide association studies (PheWAS) using data from FinnGen (n = 412,181) and UK Biobank (n > 500,000) to identify EPAT-associated traits. Two-sample Mendelian randomization (MR) analyses were performed to assess causal relationships between EPAT and identified outcomes. Mediation analyses explored potential pathways through which EPAT exerts its effects.
Results
PheWAS revealed 171 and 181 EPAT-associated traits in FinnGen and UK Biobank, respectively, including cardiovascular, metabolic, psychiatric, and respiratory diseases.EPAT showed protective causal relationships with type 2 diabetes (OR 0.91, 95% CI 0.86 to 0.96, P = 0.0009), high cholesterol (OR 0.88, 95% CI 0.78 to 0.99, P = 0.04), adult-onset asthma (OR 9.49×10⁻⁴¹, 95% CI 8.98×10⁻⁴⁷ to 1.00×10⁻³⁴, P = 9.14×10⁻³⁹), and bipolar disorder (OR 3.61×10⁻⁴¹, 95% CI 2.91×10⁻⁴⁷ to 4.47×10⁻³⁵, P = 1.09×10⁻³⁸). EPAT was also associated with increased testosterone levels (β = 0.25, 95% CI 0.04 to 0.46, P = 0.02) and enhanced right ventricular ejection fraction (β = 7.26, 95% CI 1.34 to 13.18, P = 0.02). Mediation analyses revealed that these effects were partially mediated by various factors, including plasma proteins (e.g., LRRN1 for type 2 diabetes), sex hormone-binding globulin (for high cholesterol), insulin-like growth factor 1 (for testosterone levels), specific immune cells (for asthma), and cerebrospinal fluid metabolites (for bipolar disorder).
Conclusion
This study reveals a complex and multifaceted role of EPAT in human health, extending beyond its established role in cardiovascular disease. Our findings indicate that EPAT could be a promising therapeutic target for multiple diseases. Potential drug development strategies include reversing harmful EPAT to a beneficial state or maintaining its beneficial properties long-term.
Combining prismatic adaptation and digital cognitive training: preliminary evidence on cognitive and biological effects in patients with mild cognitive impairment
Authors: Danesin Laura , D'Este Giorgia , Barresi Rita , Piazzalunga Elena , Garbo Agnese Di , Semenza Carlo , Bottini Gabriella , Oliveri Massimiliano , Burgio Francesca 
Published: October 2024

Abstract

This study explored the efficacy of a new rehabilitation tool that combines prismatic adaptation (PA) and cognitive training through serious games (SGs) in patients with mild cognitive impairment (MCI) due to two aetiologies: prodromal to Alzheimer’s dementia or consequent to Parkinson’s disease. We investigated whether this tool could improve cognitive performances, with effects at least similar to programs used in clinical practice. Leveraging studies suggesting a neuromodulatory effect of PA, we explored if the PA+SGs combined treatment could influence plasticity-related mechanisms assessed through brain-derived neurotrophic factor (BDNF) serum levels, compared to cognitive training with only SGs and standard cognitive rehabilitation (SCR).
23 MCI patients were randomized into three intervention groups: PA+SGs, SG-only, and SCR, completing 10 treatment sessions. Before and after the treatment, patients underwent neuropsychological assessment and blood sampling acquisition.
At baseline, all groups showed similar demographic, clinical, and biological characteristics. Post-treatment, the PA+SGs group improved in memory, executive function, and visuospatial abilities, although these changes were not statistically different from the control groups. Increased BDNF serum levels were observed only in the PA+SG group and were positively correlated with improved memory and language performance.
Our findings suggest that combining PA with cognitive training may improve cognitive functioning in MCI patients, with results similar to SCR. Further, PA seems to enhance neuroplasticity mechanisms that may support the behavioral improvements of cognitive training. Future research should confirm these findings and delve deeper into the relationship between cognitive impairment and its rehabilitation, based also on the underlying neurobiological mechanisms.
Trial registration number(Clinicaltrials.gov): NCT05826626
Multi-material 3D printed composites inspired by nacre: a hard/soft mechanical interplay
Authors: Curto Marco , Dowsett Jack , Kao Alexander Peter , Tozzi Gianluca , Barber Asa Hilton 
Published: October 2024

Abstract

Structural materials are used extensively in nature where mechanical function is required. These structures are composites consisting of soft and, in some cases, hard phases precisely distributed over different length scales. Bio-inspiration aims at producing materials with structure, design and/or mechanical properties adopted from biological tissues. To reproduce complex structures found in nature, additive manufacturing (AM) using three-dimensional printing (3DP) is an attractive method to assemble complex topologies with resolutions approaching the micro and nano-composition. Specifically, high-resolution MultiJetPrinting (MJP) 3D printing allows the simultaneous deposition of soft and hard photo curable plastic resins. Nacre is a prevalent example of a complex biological composite material organization that can test the ability of MJP to manufacture a bio-inspired engineering structure, where the organization of materials in nacre is optimized to avoid catastrophic failure. However, the compositional and organization information translated from biology to an engineered composite is lacking. The aim of this study was to develop a novel digital workflow for the generation of hybrid composites inspired by nacre. The interplay between a number of manufacturing parameters including material volume fraction in the composite, printing direction and resultant mechanical behaviour was evaluated. Stress transfer mechanism during mechanical loading was shown to dictate overall composite mechanics of the nacre inspired composite and optimized to enhance work of failure compared to the base materials. The use of generative design and MJP produced effective nacre with enhanced mechanical properties. In addition, the tough composites herein reported are sufficiently flexible to output any biologically inspired material with improved mechanical performance for engineering applications.
Model study on transmission loss of the split-stream rushing exhaust muffler for diesel engine
Authors: Zhang Haijun , Su He 
Published: October 2024

Numerical simulation was carried out on the transmission loss of the split-stream rushing exhaust muffler, and the accuracy of the simulation method was verified through experiments. Taking the transmission loss as the response value, the experiment was designed by using Box-Behnken module of Design Expert software. A mathematical regression model of transmission loss with experiment factors was established by using the Box-Behnken experimental design scheme, the experiment factors include the diameter of the interior pipe, the shape of the rushing hole, the center distance of the rushing hole, the cone angle of the interior pipe as well as the number of rushing holes, and the mathematical regression model's significance was tested. The response curvatures of second order interaction to the transmission loss by different variables were obtained and the interaction relationships among variables were analyzed. The results showed that the diameter of the interior pipe and the center distance of the rushing hole are the main factors that affect the transmission loss. The transmission loss increases with the increase of the diameter of the interior pipe. When the diameter of the interior pipe is between 70 mm and 80 mm, the transmission loss firstly increases and then decreases with the center distance of the rushing hole changes from Smin to Smax. When the diameter of the interior pipe is between 80 mm and 90 mm, the transmission loss decreases with the center distance of the rushing hole changes from Smin to Smax. The effect of the rushing hole shape on transmission loss is not significant. The transmission loss increases with the increase of the number of rushing holes, but the increase of transmission loss is not significant with the number of rushing holes changes from 4 to 6 groups. Taking the transmission loss as the optimization index, the better experimental condition was obtained. Compared to the not optimized muffler of the sample engine, the average transmission loss of the optimized muffler is increased by 48.70 % when the frequency is 0-1000 Hz, the average insertion loss of the optimized muffler is increased by 7.4 %. At inlet air velocity of 40 m/s, the pressure loss is reduced by 56.8 %.
Validity of the Malay adaptation of the KOOS Patellofemoral Pain and Subscale (KOOS-PF)
Authors: Fuhad Aslinda , Zahari Zarina , Sadio Norhidayah , Lin Pi Peng 
Published: October 2024

Introduction: The Malay version of Knee Orthopaedic Outcome Score-Patellofemoral (KOOS-PF) is unavailable. Aims: This study culturally used the (KOOS-PF) questionnaire for Malaysian Malay-speaking students. Methods: Forward-backwards translation was used to translate the KOOS-PF questionnaire from English to Malay. Malay version psychometric patellofemoral characteristics (construct reliability) were examined using Cronbach's alpha to assess reliability and internal consistency with fifty-five UiTM physiotherapy students. Results: The reliability analysis found that each construct's Cronbach's alpha coefficient was more significant than 0.07, and the p-values were less than 0.001. Conclusion: A reliable and straightforward technique for assessing quality of life among Malaysian physiotherapy students.
Geochemical Characteristic of the Carbonaceous Sediments of the Upper Paleozoic Kuantan Group, Malaysia
Authors: Burgan Amer M 
Published: October 2024

The geochemical parameters discussed in this paper are based on an average values of twelve outcrop carbonaceous samples, mainly black shales, were determined using X-Ray Fluorescence (XRF) and Inductively Coupled Plasma-Mass Spectrometer (ICP-MS) techniques, representative of Charu, Sagor, and Permian formations.The aim of this study is to define and discuss their characteristics, the distribution abundance of major and minor elements, investigation the dominant mineralogical composition and reconstruct the depositional environment for these sediments.The bulk chemical result showed that, the average values of the major elements are 65.83%, 64.82 %, 71.4 % SiO2, 18.27 %, 22.2 %, 15.66 % Al2O3, 1.53 %, 0.99 %, 2.49 % Fe2O3. 4.06 %, 6.25 %, 3.66 % K2O , whereas in the case of the miner elements, the results read values of 524.4 ppm, 758.8 ppm, 446.3 ppm Ba , 366 ppm, 399.3 ppm, 257.3 ppm Rb, 88 ppm, 67.3 ppm, 47.3 ppm Sr , 308 ppm, 288.8 ppm, 327ppm Zr for the Charu, Sagor, and Permian formations respectively. The major oxides reflect the dominant mineralogical composition of quartz and other silicate minerals (e.g. illite, kaolinte, smectite) and deficiency in carbonates.The high Rb/K ratio suggests brackish marine environment or rapid depositions that prevent equilibrium between Rb and K in these study shales and marine environment. The high Rb/Sr ratios of 4.16, 5.89 and 5.44 for the Charu, Sagor, and Permian formations respectively possibly attributed to the lowest contents of Sr content due to reducing environment prevailing during deposition of these sediments.
Phonological Variation in Hawrami subDialect of Kurdish Language
Authors: Othman Neamat Saber , Aziz Salm Hassan , Muhammad Shahrazad Naib , Abdullah Mahabad Kamil , Abdulla Mawdud Jabar 
Published: October 2024

This paper is entitled (Phonological Changes in Hawrami Dialect (A Current Descriptive Study)). It is to identify the phonological changes that occur in the sounds of everyday words and terms of speakers of different classes of this dialect, in the different environments of their appearance in the structure of morphemes and words. It also identifies the characteristics and causes of these changes and analyzes the laws that occur in these sound changes. With the classification of the types of changes and the most important structural changes, such as compatibility (complete and incomplete), incompatibility, fall, sound formation, sound change, displacement, sound separation. Also point out the causes of their occurrence such as (gravey noise, obesity, bilibials, palatal, vocal cords and place of articulation, etc). with their place of articulation at the beginning or middle or end of words and their classification into consonants and vowels.In addition to the introduction, conclusions and sources, the research is divided into two parts: the first part consists of phonology and phonemes, rules of sentence structure, characteristics and causes of phonological changes. The second section discusses phonological changes and their types and identifies structural changes.
Pattern-Making for Y-Body Types of Young Females’ Pants in China Based on 3D Virtual Technologies
Authors: Shen Haina , Ji Xiaofen 
Published: October 2024

Abstract
This paper aims to introduce an innovative pattern-making technique to enhance the fit of pants for young females. Utilizing a 3D scanning system, seventy-one sets of detailed body data were collected to create a Y-body type mannequin. A raw pant pattern was crafted by unfolding the surfaces of the research mannequin in CLO3D. Through comprehensive assessments conducted by participants and experts for fit, movement adaptability, silhouette, and body shape correction, adjustments were made to the ease allowance and silhouette, culminating in the development of the pant pattern and final pant specification sheet that achieved a high level of satisfaction.