bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary intakes of branch chained amino acids and obesity risk among Chinese gestational diabetes women
Authors: Yang Xiaoyun , Li Weiqin , Li Wei , Liu Huikun , Wang Leishen , Leng Junhong , Fan Yuxin , Yang Xilin , Liu Ming , Hu Gang
Published: October 2024

Introduction

Epidemiological studies have assessed the correlation between daily dietary branch chain amino acid (BCAA) intakes and the risk of obesity, however, the findings from these studies were inconsistent and investigations among GDM women were few.

Objective

The present study was to investigate the associations of daily BCAA intakes with the risks of overweight and abdominal obesity among women with prior gestational diabetes mellitus (GDM) postpartum.

Method

We performed a cross-sectional study of 1,263 women with prior GDM at 1–5 years post-delivery. Logistic regression models were used to estimate the associations of daily dietary intakes of BCAAs with the risks of overweight and abdominal obesity.

Results

The multivariable-adjusted odds ratios (ORs) across quartiles of daily BCAA intakes postpartum were 1.42 (95% confidence interval [CI] 1.02–1.97), 1.00 (reference), 1.21 (95% CI 0.88–1.68), and 1.31 (95% CI 0.95–1.81) for general overweight, and 1.38 (95% CI 0.99–1.90), 1.00, 1.19 (95% CI 0.86–1.64), and 1.43 (95% CI 1.04–1.98) for abdominal obesity, respectively. Women with the lowest quartile of daily BCAA intakes significantly increased the risks of general overweight (OR 1.49; 95 %CI 1.06–2.09) and abdominal obesity (OR 1.50; 95 %CI 1.08–2.11) compared with women at quartile 2 of daily BCAA intakes after further adjustment of daily energy intake.

Conclusion

The present study indicated that daily lower BCAA intakes were associated with increased risks of general overweight and abdominal obesity among women with prior GDM.
Case report: Clinical analysis and literature review of five cases of metastatic solid pseudopapillary tumor of the pancreas
Authors: Hu Run , Gui Renjie , Nie Xi , Duan Huaxin
Published: October 2024

Background

Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare and low-grade malignant tumor. It mainly occurs in women of reproductive age, accounting for approximately 1-3% of all pancreatic tumors. SPN has a low incidence rate and is difficult to diagnose before surgery. Some cases may show local infiltration, but distant metastasis rarely occurs. Currently, there is no standardized treatment protocol for SPN.

Patient and methods

We have collected clinical data from 5 patients with solid pseudopapillary neoplasm (SPN) of the pancreas who presented with distant metastasis at our hospital. This study retrospectively analyzes their clinical manifestations, imaging characteristics, pathological findings, and treatment outcomes. The aim is to summarize the clinical features of SPN with distant metastasis, thereby improving the diagnosis, treatment, and prognosis prediction of this disease. This study also reviews relevant literature.

Results

The median age of the 5 patients was 32 years old, with a male-to-female ratio of 1:4. All patients underwent enhanced CT scans and were diagnosed with SPN through biopsy or surgical pathology. All 5 patients had liver metastases, and one patient had clavicular lymph node metastasis. Another patient had both lung and clavicular lymph node metastases. Three patients underwent curative surgery, one patient received chemotherapy combined with targeted immunotherapy and subsequently underwent TACE(Transcatheter arterial chemoembolization) and HAIC (Hepatic artery infusion chemotherapy) treatments due to progression. One patient received internal radiation therapy but experienced multiple relapses and eventually died due to complications. The follow-up period ranged from 7 to 53 months, with 2 patients succumbing to the disease.

Conclusion

As a low-grade tumor, SPN has a low rate of distant metastasis, typically occurring in only 5%-15% of cases. These metastases often lack characteristic clinical symptoms. Diagnosis can only be confirmed after exclusion of other lesions through imaging and pathological examination. The primary treatment for metastatic SPN is curative surgery, which can lead to a favorable prognosis.
Novel β-lactam antibiotics versus other antibiotics for treatment of complicated urinary tract infections: a systematic review and meta-analysis
Authors: Quan Xiang hua , Wang Xin yi , Han Chun hua , Xing Xiao min , Zhang Bin , Cang Huai qin
Published: October 2024

Background

Novel β-lactam antibiotics as well as other kinds of antibiotics have been used to treat complicated urinary tract infections (cUTIs); however, their efficacy and safety remain controversial.

Objective

We conducted a systematic review with meta-analysis to explore the efficacy and safety of novel β-lactam antibiotics versus other antibiotics against cUTIs.

Methods

PubMed, Embase, and the Cochrane Central Register of Controlled Trials were searched systematically from inception through 15 March 2024 for clinical trials comparing novel β-lactam antibiotics with other antibiotics for treatment of cUTIs. Random-effects models were used to evaluate the impact of treatment on the risk ratio (RR) of clinical response, microbiologic response, adverse effects (AEs), serious adverse effects (SAEs). The quality of evidence was evaluated with the Cochrane Risk of Bias assessment tool. The review was registered in INPLASY (INPLASY202440054).

Results

Ten randomized controlled trials involving 5, 925 patients met our inclusion criteria. Our meta-analysis revealed that there was no significant difference in overall clinical response (RR = 1.02), AEs (RR = 1.07), SAEs (RR = 1.20) between novel β-lactam antibiotics groups and other antibiotics groups. However, a significant difference was found in a subgroup of clinical cure rates at the end of treatment between novel β-lactam antibiotics groups and carbapenems groups, with low heterogeneity (RR = 1.02). A significant difference was observed in microbiologic response (RR = 1.11). Subgroup analysis revealed a significant difference in microbiologic response between novel BBL/BLS groups and carbapenems groups (RR = 1.13, I2 = 21%, P = 0.005). Differences was observed between novel BBL/BLS groups and piperacillin/tazobactam sodium groups (RR = 1.21, I2 = 70%, P = 0.02). Similar results were obtained from subgroup analysis of the difference in microbiologic response between novel β-lactam antibiotics groups and ertapenem groups (RR = 0.92, I2 = 0, P = 0.01).

Conclusion

Novel β-lactam antibiotics had similar overall clinical cure, AEs, SAE, to other antibiotics in the treatment of cUTIs. However, novel β-lactam antibiotics demonstrated superior clinical cure rates compared to carbapenems in a subgroup analysis, and exhibited better microbiologic response than other antibiotics.
Strip-loaded nanophotonic interfaces for resonant coupling and single-photon routing
Authors: Snow Katharine , Moradiani Fatemeh , Siampour Hamidreza
Published: October 2024

We report on the design and simulation of strip-loaded nanophotonic interfaces aimed at improving resonant coupling and photon routing efficiency. In our design, the guided mode is confined within a plane by a high-index thin film and is loosely confined laterally by a lower index strip. Using a hydrogen silsesquioxane (HSQ) strip, titanium dioxide core, and silicon dioxide substrate, we optimise the waveguide dimensions for maximum lateral confinement of light. Specifically, we propose a polymer-based Bragg grating cavity and ring resonator that achieve near-optimal mode volumes and high Q-factors. These may be further developed to achieve the even higher Q-factors demanded by quantum technologies. Our calculations suggest that a quantum dot embedded in a cavity with a mode volume of Veff∼7.0λ/n3 and a Q-factor of 7,000 can produce photons with 97% indistinguishability at 4K. Additionally, we investigate directional couplers for efficient photon routing, comparing photonic and plasmonic material structures. While pure photonic structures demonstrate lower loss and improved quality factors, they face practical limitations in terms of bending radius. Conversely, plasmonic structures offer shorter bending radii but higher propagation losses. This research lays the groundwork for future nanophotonic designs, aiming to enhance photon generation and routing capabilities for quantum optical applications.
New insights into the intestinal barrier through “gut-organ” axes and a glimpse of the microgravity’s effects on intestinal barrier
Authors: Nie Hong-Yun , Ge Jun , Huang Guo-Xing , Liu Kai-Ge , Yue Yuan , Li Hao , Lin Hai-Guan , Zhang Tao , Yan Hong-Feng , Xu Bing-Xin , Sun Hong-Wei , Yang Jian-Wu , Si Shao-Yan , Zhou Jin-Lian , Cui Yan
Published: October 2024

Gut serves as the largest interface between humans and the environment, playing a crucial role in nutrient absorption and protection against harmful substances. The intestinal barrier acts as the initial defense mechanism against non-specific infections, with its integrity directly impacting the homeostasis and health of the human body. The primary factor attributed to the impairment of the intestinal barrier in previous studies has always centered on the gastrointestinal tract itself. In recent years, the concept of the “gut-organ” axis has gained significant popularity, revealing a profound interconnection between the gut and other organs. It speculates that disruption of these axes plays a crucial role in the pathogenesis and progression of intestinal barrier damage. The evaluation of intestinal barrier function and detection of enterogenic endotoxins can serve as “detecting agents” for identifying early functional alterations in the heart, kidney, and liver, thereby facilitating timely intervention in the disorders. Simultaneously, consolidating intestinal barrier integrity may also present a potential therapeutic approach to attenuate damage in other organs. Studies have demonstrated that diverse signaling pathways and their corresponding key molecules are extensively involved in the pathophysiological regulation of the intestinal barrier. Aberrant activation of these signaling pathways and dysregulated expression of key molecules play a pivotal role in the process of intestinal barrier impairment. Microgravity, being the predominant characteristic of space, can potentially exert a significant influence on diverse intestinal barriers. We will discuss the interaction between the “gut-organ” axes and intestinal barrier damage, further elucidate the signaling pathways underlying intestinal barrier damage, and summarize alterations in various components of the intestinal barrier under microgravity. This review aims to offer a novel perspective for comprehending the etiology and molecular mechanisms of intestinal barrier injury as well as the prevention and management of intestinal barrier injury under microgravity environment.
FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting
Authors: Yang Baohua , Chen Runchao , Gao Zhiwei , Zhi Hongbo
Published: October 2024

Wheat is one of the important food crops in the world, and the stability and growth of wheat production have a decisive impact on global food security and economic prosperity. Wheat counting is of great significance for agricultural management, yield prediction and resource allocation. Research shows that the wheat ear counting method based on deep learning has achieved remarkable results and the model accuracy is high. However, the complex background of wheat fields, dense wheat ears, small wheat ear targets, and different sizes of wheat ears make the accurate positioning and counting of wheat ears still face great challenges. To this end, an automatic positioning and counting method of wheat ears based on FIDMT-GhostNet (focal inverse distance transform maps - GhostNet) is proposed. Firstly, a lightweight wheat ear counting network using GhostNet as the feature extraction network is proposed, aiming to obtain multi-scale wheat ear features. Secondly, in view of the difficulty in counting caused by dense wheat ears, the point annotation-based network FIDMT (focal inverse distance transform maps) is introduced as a baseline network to improve counting accuracy. Furthermore, to address the problem of less feature information caused by the small ear of wheat target, a dense upsampling convolution module is introduced to improve the resolution of the image and extract more detailed information. Finally, to overcome background noise or wheat ear interference, a local maximum value detection strategy is designed to realize automatic processing of wheat ear counting. To verify the effectiveness of the FIDMT-GhostNet model, the constructed wheat image data sets including WEC, WEDD and GWHD were used for training and testing. Experimental results show that the accuracy of the wheat ear counting model reaches 0.9145, and the model parameters reach 8.42M, indicating that the model FIDMT-GhostNet proposed in this study has good performance.
A multi-source domain feature adaptation network for potato disease recognition in field environment
Authors: Gao Xueze , Feng Quan , Wang Shuzhi , Zhang Jianhua , Yang Sen
Published: October 2024

Accurate identification of potato diseases is crucial for reducing yield losses. To address the issue of low recognition accuracy caused by the mismatch between target domain and source domain due to insufficient samples, the effectiveness of Multi-Source Unsupervised Domain Adaptation (MUDA) method in disease identification is explored. A Multi-Source Domain Feature Adaptation Network (MDFAN) is proposed, employing a two-stage alignment strategy. This method first aligns the distribution of each source-target domain pair within multiple specific feature spaces. In this process, multi-representation extraction and subdomain alignment techniques are utilized to further improve alignment performance. Secondly, classifier outputs are aligned by leveraging decision boundaries within specific domains. Taking into account variations in lighting during image acquisition, a dataset comprising field potato disease images with five distinct disease types is created, followed by comprehensive transfer experiments. In the corresponding transfer tasks, MDFAN achieves an average classification accuracy of 92.11% with two source domains and 93.02% with three source domains, outperforming all other methods. These results not only demonstrate the effectiveness of MUDA but also highlight the robustness of MDFAN to changes in lighting conditions.
Assembly and comparative analysis of the first complete mitochondrial genome of zicaitai (Brassica rapa var. Purpuraria): insights into its genetic architecture and evolutionary relationships
Authors: Xiao Wanyu , Wu Xian , Zhou Xianyu , Zhang Jing , Huang Jianghua , Dai Xiuchun , Ren Hailong , Xu Donglin
Published: October 2024

Introduction

Zicaitai (Brassica rapa var. purpuraria) is a Brassica variety renowned for its distinctive taste and rich nutritional profile. In recent years, the mitochondrial genomes of several Brassica species have been documented, but the mitogenome of Zicaitai remains unreported.

Methods

In this study, we characterized the Zicaitai mitogenome achieved through the assembly of sequencing reads derived from both the Oxford Nanopore and Illumina platforms. A detailed comparative analysis was carried out with other Brassica species to draw comparisons and contrasts. In-depth analyses of codon usage patterns, instances of RNA editing, and the prevalence of sequence repeats within the mitogenome were also conducted to gain a more nuanced understanding of its genetic architecture. A phylogenetic analysis was performed, utilizing the coding sequences (CDS) from the mitochondrial genome of Zicaitai and that of 20 closely related species/varieties to trace evolutionary connections.

Results

The Zicaitai mitogenome is characterized by a circular structure spanning 219,779 base pairs, and it encompasses a total of 59 genes. This gene set includes 33 protein-coding genes, 23 tRNA genes, and 3 rRNA genes, providing a rich foundation for further genomic study. An analysis of the Ka/Ks ratios for 30 protein-coding genes shared by the mitogenomes of Zicaitai and seven other Brassica species revealed that most of these genes had undergone purifying selection. Additionally, the study explored the migration of genes between the chloroplast and nuclear genomes and the mitogenome, offering insights into the dynamics of genetic exchange within the Brassica genus.

Discussion

The collective results in this study will serve as a foundational resource, aiding future evolutionary studies focused on B. rapa, and contributing to a broader understanding of the complexities of plant evolution.
Increased self-regulation of eating behavior is associated with reduced generalized anxiety disorder in Saudi Arabia
Authors: Ghabashi Mai Adil
Published: October 2024

Introduction

There is a growing body of evidence suggesting that self-regulation of eating behavior (SREB) is closely linked to dietary habits and mental health. However, little is known about these relationships within the Saudi Arabian population. This study aimed to address this gap.

Methods

A digital cross-sectional study was conducted utilizing the SREB and generalized anxiety disorder (GAD-7) questionnaires, along with a brief survey about dietary habits. Linear and logistic regression analyses were employed to examine these associations, with a total of 651 Saudi participants enrolled in the study.

Results

The results showed that only 15.5% of participants demonstrated a high capacity for SREB, while 65% experienced moderate or severe symptoms of GAD. Greater SREB was significantly associated with reduced GAD scores (β = −0.13, 95% CI; −0.12 to −0.03; p < 0.001) and lower BMI (β = −0.10, 95% CI; 0.08 to −0.00; p = 0.01). Additionally, predictive factors for high capacity for SREB included higher daily intake of fruits (OR = 2.90, 95% CI; 1.44 to 5.84; p = 0.003) and regular breakfast consumption (OR = 1.64, 95% CI; 1.01 to 2.63; p = 0.04).

Discussion

These findings suggest that enhancing SREB may be a promising strategy for obesity prevention and improving mental health outcomes among the Saudi population. Implementing interventions aimed at promoting healthier dietary habits could support the physical and mental well-being of this population.
Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus
Authors: Pan Yu-qing , Huang Xin-xin , Jiang Xiu-min
Published: October 2024

Aim

To explore the risk factors for low-birth-weight infants born to pregnant women with GDM to develop a prediction model and to construct a prediction nomogram for the risk of low birth weight infants born to pregnant women with GDM.

Methods

The clinical data of singleton infants diagnosed with gestational diabetes mellitus in Southeast China in 2019 were retrospectively reviewed. Gestational conditions and neonatal weight were assessed.

Results

A total of 386 diabetic mothers and infants were enrolled, including 193 in the low birth weight group and 193 in the normal birth weight group. The statistically significant factors were age over 36 years (OR = 1.916, 95% CI 1.048–3.505), junior high school education (OR = 4.454, 95% CI 1.882–10.543), history of fetal distress (OR = 0.120, 95% CI 0.016–0.925), gestational hypertension (OR = 3.681, 95% CI 1.357–9.986), preeclampsia (OR = 24.652, 95% CI 5.956–102.036), threatened preterm birth (OR = 18.393, 95% CI 8.457–39.999), triglycerides (OR = 0.642, 95% CI 0.485–0.850), and inadequate gestational weight gain (OR = 1.997, 95% CI 1.162–3.432). The area under the receiver operating characteristic curve (AUC) was 0.834 (95% CI: 0.794–0.874, p < 0.001), and the sensitivity and specificity were 82.38 and 87.56%, respectively. The goodness-of-fit test likelihood ratio 2 was 2.089 (p = 0.978). The comprehensive nomogram model showed that the discrimination and mean absolute error were 0.834 and 0.015, respectively. The calibration curves showed acceptable agreement between the predictions of the column line plots and the observations. The DCA curves showed good positive net yields in the prediction model.

Discussion

This study established a prediction model and risk score for low birth weight in pregnant women with GDM. It helps pregnancy clinics to identify the risk of low birth weight in newborns promptly, in addition to glycemic control and weight management for pregnant women with GDM, and should improve the appropriate treatment plan for pregnant women with higher risk, to provide personalized and precise treatment for pregnant women with GDM and improve infant outcomes.
Genetic testing in psychiatry, the perceptions of healthcare workers and patients: a mini review
Authors: Ioannou Kyriakos I. , Constantinidou Anastasia , Chatzittofis Andreas
Published: October 2024

Background

Genetic testing in psychiatry has gained attention, raising questions about its application and impact. Understanding stakeholders’ perspectives, including healthcare providers and patients, is vital for informed policy development. The aim of this systematic review was to focus on the perceptions and concerns of patients and healthcare workers in psychiatry regarding the use of genetic testing.

Methods

We conducted a systematic review following PRISMA guidelines, for the period 1/2/2014, to 1/1/2024, via PubMed and Embase databases identifying 50 articles in total. After excluding duplicates (n = 12), 38 articles went through screening. After careful full-text article assessment for eligibility and applying the inclusion and exclusion criteria, only fifteen (n = 15) of the articles were included.

Results

Among 15 selected studies involving 3,156 participants (2,347 healthcare professionals; 809 patients), thematic analysis identified four primary themes: Organizational-implementation concerns, Ethical Considerations, Concerns on changes in clinical praxis, and Legal implications. Despite these concerns, seven out of eleven studies indicated that healthcare workers viewed genetic testing in psychiatry positively. Patients’ perspectives varied, with two of the four studies reflecting positive attitudes. No pervasive negative sentiment was observed.

Conclusion

Our review highlights the multidimensional perspectives of healthcare professionals and patients surrounding the application of genetic testing in psychiatry. These considerations need to be addressed to facilitate the implementation of genetic testing in clinical praxis in psychiatry. Further research is needed for validation of the results and to guide policies and clinicians in the integration of genetic testing into mental healthcare practice.
How Do Offshore Wind Farms Affect the Ocean?
Authors: Benkort Déborah , Christiansen Nils , Ho-Hagemann Ha Thi Minh , Daewel Ute , Gilles Anita
Published: October 2024

Wind has been used for centuries as a powerful source of energy. Today, it holds a central place in clean, renewable electricity production. Giant wind turbines are being installed in the ocean to harness the wind and generate more energy. Numbers of these turbines are growing worldwide, especially in Chinese and European seas. However, wind turbines can affect the environment by changing the conditions of the ocean and atmosphere. These changes have consequences for ocean life, which are not yet well understood. In this article, we explain some effects of offshore wind turbines on the marine environment. We show how wind turbines slow down the wind and disturb the seawater and the associated marine life. We also discuss why it is important that scientists work together with companies and policymakers to find ways to reduce potential negative impacts and maximize positive ones.
Computed tomography and structured light imaging guided orthopedic navigation puncture system: effective reduction of intraoperative image drift and mismatch
Authors: He Zaopeng , Xu Guanghua , Zhang Guodong , Wang Zeyu , Sun Jingsong , Li Wei , Liu Dongbo , Tian Yibin , Huang Wenhua , Cai Daozhang
Published: October 2024

Background

Image-guided surgical navigation systems are widely regarded as the benchmark for computer-assisted surgical robotic platforms, yet a persistent challenge remains in addressing intraoperative image drift and mismatch. It can significantly impact the accuracy and precision of surgical procedures. Therefore, further research and development are necessary to mitigate this issue and enhance the overall performance of these advanced surgical platforms.

Objective

The primary objective is to improve the precision of image guided puncture navigation systems by developing a computed tomography (CT) and structured light imaging (SLI) based navigation system. Furthermore, we also aim to quantifying and visualize intraoperative image drift and mismatch in real time and provide feedback to surgeons, ensuring that surgical procedures are executed with accuracy and reliability.

Methods

A CT-SLI guided orthopedic navigation puncture system was developed. Polymer bandages are employed to pressurize, plasticize, immobilize and toughen the surface of a specimen for surgical operations. Preoperative CT images of the specimen are acquired, a 3D navigation map is reconstructed and a puncture path planned accordingly. During surgery, an SLI module captures and reconstructs the 3D surfaces of both the specimen and a guiding tube for the puncture needle. The SLI reconstructed 3D surface of the specimen is matched to the CT navigation map via two-step point cloud registrations, while the SLI reconstructed 3D surface of the guiding tube is fitted by a cylindrical model, which is in turn aligned with the planned puncture path. The proposed system has been tested and evaluated using 20 formalin-soaked lower limb cadaver specimens preserved at a local hospital.

Results

The proposed method achieved image registration RMS errors of 0.576 ± 0.146 mm and 0.407 ± 0.234 mm between preoperative CT and intraoperative SLI surface models and between preoperative and postoperative CT surface models. In addition, preoperative and postoperative specimen surface and skeletal drifts were 0.033 ± 0.272 mm and 0.235 ± 0.197 mm respectively.

Conclusion

The results indicate that the proposed method is effective in reducing intraoperative image drift and mismatch. The system also visualizes intraoperative image drift and mismatch, and provides real time visual feedback to surgeons.
Histological and Molecular Characterization of the Musa spp. x Pseudocercospora musae Pathosystem
Authors: Silva Paulo Henrique da , Neto Israel Lopes da Cunha , Santos Rogério Mercês Ferreira , Martins Fabiano Machado , Soares Julianna Matos da Silva , Nascimento Fernanda dos Santos , Ramos Andresa Priscila de Souza , Amorim Edson Perito , Ferreira Cláudia Fortes , Ledo Carlos Alberto da Silva
Published: October 2024

Yellow Sigatoka, caused by the fungus Pseudocercospora musae, represents one of the most challenging diseases in bananas, which is aggravated due to the genetic variability of this pathogen. The main objective of this study was to characterize the infection process of P. musae in two banana cultivars with different levels of resistance and to quantify the expression of resistance genes. Inoculated and non-inoculated leaf samples of the two cultivars, Yangambi km 5—resistant and Grande Naine—susceptible, were investigated by light microscopy, histochemistry, scanning electron microscopy, and RT-qPCR. The cultivar Grande Naine showed early signs of P. musae infection, including the production of lipophilic substances and phenolic compounds, while the cultivar Yangambi km 5 was not affected. In the Grande Naine cultivar, the protein kinase gene was upregulated, while in the Yangambi km 5, it was repressed. The WAK2 gene was initially upregulated in both cultivars; however, in Grande Naine, it was subsequently repressed, while in Yangambi km 5, it remained downregulated. These findings have the potential to contribute to more effective management strategies in the control of yellow Sigatoka and the development of banana varieties resistant to yellow Sigatoka.
A New Winter Wheat Crop Segmentation Method Based on a New Fast-UNet Model and Multi-Temporal Sentinel-2 Images
Authors: Awad Mohamad M.
Published: October 2024

Mapping and monitoring crops are the most complex and difficult tasks for experts processing and analyzing remote sensing (RS) images. Classifying crops using RS images is the most expensive task, and it requires intensive labor, especially in the sample collection phase. Fieldwork requires periodic visits to collect data about the crop’s physiochemical characteristics and separating them using the known conventional machine learning algorithms and remote sensing images. As the problem becomes more complex because of the diversity of crop types and the increase in area size, sample collection becomes more complex and unreliable. To avoid these problems, a new segmentation model was created that does not require sample collection or high-resolution images and can successfully distinguish wheat from other crops. Moreover, UNet is a well-known Convolutional Neural Network (CNN), and the semantic method was adjusted to become more powerful, faster, and use fewer resources. The new model was named Fast-UNet and was used to improve the segmentation of wheat crops. Fast-UNet was compared to UNet and Google’s newly developed semantic segmentation model, DeepLabV3+. The new model was faster than the compared models, and it had the highest average accuracy compared to UNet and DeepLabV3+, with values of 93.45, 93.05, and 92.56 respectively. Finally, new datasets of time series NDVI images and ground truth data were created. These datasets, and the newly developed model, were made available publicly on the Web.
Fabella Syndrome: Anatomy, Diagnosis, Treatment, and Outcomes
Authors: Nolan Mason , Marting Ethan , Applegate James , Wood Conor , Willard Sarah , Turnow Morgan , Taylor Benjamin C.
Published: October 2024

The fabella is a rare sesamoid bone found within the posterior aspect of the knee joint. Patients can suffer from fabella syndrome which is characterized as pain with extension of the knee, ultimately limiting motion and causing a clicking or catching sensation. There is debate in the literature regarding operative excision versus nonoperative management for patients with fabella syndrome. This review seeks to provide a comprehensive overview of fabella anatomy and fabella syndrome presentation, diagnosis, treatment, and outcomes.
PON1 and PON3 in Alzheimer’s Disease: Similar Functions but Different Roles
Authors: Trentini Alessandro , Rosta Valentina , Riccetti Raffaella , Mola Gianmarco , Galletti Riccardo , Pinotti Marco , Senia Vincenza , Zuliani Giovanni , Cervellati Carlo
Published: October 2024

Paraoxonase 1 (PON1) and Paraoxonase 3 (PON3) are enzymes located on the surface of high-density lipoprotein (HDL) and share similar antioxidant properties, possibly modulated by other proteins such as Myeloperoxidase (MPO), which drives the shift from functional to dysfunctional HDL. PON1 has been extensively studied in relation to Alzheimer’s Disease (AD), but the role of PON3 remains unknown. To fill this knowledge gap, the study analyzed PON3 protein levels and PON1-arylesterase activity in 99 AD patients, 100 patients with mild cognitive impairment (MCI), and 79 cognitively normal controls. The results showed that serum PON3 levels remained unchanged across all groups. In contrast, serum arylesterase activity was significantly reduced in both AD and MCI patients compared to controls (p < 0.001 for both comparisons). Surprisingly, there was no correlation between arylesterase activity and MPO protein concentration or activity. However, PON3 was found to have a significant positive correlation with both MPO concentration (r = 0.507, p < 0.0001) and MPO activity (r = 0.264, p < 0.01). In conclusion, we demonstrated for the first time that PON1 and PON3 have distinct relationships with AD, with only PON1 showing a decrease in activity in this disease, while PON3 levels remained unchanged. Another noteworthy finding was the selective correlation between PON3 and MPO, which may suggest a preferential physical association of PON3 with dysfunctional HDL.
Dietary Polyphenols, Food Processing and Gut Microbiome: Recent Findings on Bioavailability, Bioactivity, and Gut Microbiome Interplay
Authors: Sejbuk Monika , Mirończuk-Chodakowska Iwona , Karav Sercan , Witkowska Anna Maria
Published: October 2024

Polyphenols are organic chemical compounds naturally present in plants, renowned for their anti-inflammatory, antioxidant, immunomodulatory, anticancer, and cardiovascular protective properties. Their bioactivity and bioavailability can vary widely depending on the methods of food processing and interactions with the gut microbiome. These factors can induce changes in polyphenols, affecting their ability to achieve their intended health benefits. Thus, it is essential to develop and apply food processing methods that optimize polyphenol content while maintaining their bioactivity and bioavailability. This review aims to explore how various food processing techniques affect the quantity, bioactivity, and bioavailability of polyphenols, as well as their interactions with the gut microbiome, which may ultimately determine their health effects.
Inverse-Nanoemulsion-Derived Protein Hydrogels (NanoTrans-Gels) Can Outperform DOSPA/DOPE Lipid-Complex Transfection Agent
Authors: Kohler Michael , Krämer Markus , Draphoen Bastian , Schmitt Felicitas , Lindén Mika , Kissmann Ann-Kathrin , Ziener Ulrich , Rosenau Frank
Published: October 2024

Transfection of mammalian and human cell lines in medical research both are key technologies in molecular biology and genetic engineering. A vast variety of techniques to facilitate transfection exists including different chemical and nanoparticle-based agents as mediators of nucleic acid uptake, with nanoparticles composed of the lipids DOSPA/DOPE belonging to the established type of agents. We show that inverse-nanoemulsion-derived protein nanohydrogels (NanoTrans-gels), prepared by a simple synthesis protocol, are suited to transfect two model cancer cell lines (MCF7 and A549) with high efficiency. The transfection efficiency was analyzed in comparison to the DOSPA/DOPE-dependent protocols as a reference method. Since nanogel-based transfection outperformed the Lipofectamine-dependent technique in our experiments, we believe that the NanoTrans-gels loaded with plasmid DNA may open new avenues for simple and efficient transfection for humans and probably also other mammalian cell lines and may develop into a general tool for standard transfection procedures in cell biology laboratories.
Field Trial and Performance Evaluation of Soybean-Based Bio-Fog Seals for Asphalt Rejuvenation
Authors: Rodrigues Ana Luiza , Falcao Caio , Staver Maxwell , Pinto Irvin , Becker Andrew , Forrester Michael , Hohmann Austin , Kuehl Baker , Hernandez Nacu , Buss Ashley , Cochran Eric , Williams R. Christopher
Published: October 2024

Cracked and deteriorated asphalt are common problems on our roads, leading to safety concerns and requiring significant resources for rehabilitation and reconstruction. This study investigates bio-fog seals, a promising eco-friendly solution utilizing bio-based rejuvenators. These treatments penetrate aged asphalt, restoring its flexibility and resistance to cracking. We assessed the effectiveness of two bio-fog seal formulations—one containing sub-epoxidized soybean oil (SESO) and the other combining SESO with a biopolymer (BioMag). Applied to real pavement sections, the research evaluated how these bio-seals impacted key performance factors, such as stiffness, permeability, and drying time, and safety factors, including skid resistance and pavement marking visibility. The results indicate the bio-seals did not compromise skid resistance and the reflectivity of the markings, eliminating the need for repainting stripes. Additionally, they successfully reduced pavement stiffness, making the asphalt more flexible and crack-resistant. Remarkably, with rapid setting times, under 30 min, these treatments minimize traffic disruption and do not require a blotter material. Overall, this research demonstrates the potential of bio-fog seals as a sustainable solution for extending pavement lifespan and lowering long-term maintenance costs.
Investigations of the Windage Losses of a High-Speed Shrouded Gear via the Lattice Boltzmann Method
Authors: Dai Yu , Yang Caihua , Zhu Xiang
Published: October 2024

To suppress the adverse effect of the gear windage phenomenon in the high-speed aeronautic industry, a shroud as an effective alternative strategy is usually to enclose gears to reduce the windage behaviors of high-speed gears. To deeply understand these no-load power losses, this paper proposes a new simulation methodology based on the Lattice Boltzmann method to study the windage losses of a shrouded spur gear and conducts a series of numerical studies. The models reproduce a shroud spur gear varying radial and axial clearances to evaluate the influence of casing walls on windage losses. The simulation results were then compared with experimental values, showing a satisfactory agreement. Furthermore, a torque containment factor integrating the air compressibility at high Mach numbers is introduced to represent the reduction in torque (windage power losses) for the shrouded gear compared to the free case, and the theoretical formulae for predicting windage power losses are further improved for better applicability as the tight shroud approaches the gear during the preliminary design stage.
The Effect of Silane Treatment of a Resin-Based Composite on Its Microtensile Bond Strength to a Ceramic Restorative Material
Authors: Haruyama Akiko , Muramatsu Takashi , Kameyama Atsushi
Published: October 2024

The purpose of this study was to investigate the effect of silane treatment of a resin-coated resin-based composite (RBC) base material on its microtensile bond strength (μTBS) to a computer aided-design/computer-aided manufacturing (CAD/CAM) ceramic restorative material. RBC blocks (4 mm × 7 mm × 10 mm) were prepared, and the adherend surfaces were prepared as follows: no resin coating + no silane treatment (Group I), no resin coating + silane treatment (Group II), resin coating only (Group III), and resin coating + silane treatment (Group IV). The resin coating was applied with Clearfil SE Bond and flowable RBC to the adherend surface. Each treated sample was bonded to a ceramic block using Panavia V5. After storage in 37 °C water for 1 week, microspecimens were fabricated, and the μTBS was tested. The failure mode of each specimen was determined using stereomicroscopy and scanning electron microscopy. The µTBS of Group II (20.2 ± 4.0 MPa) was not significantly different from that of Group I (17.6 ± 5.9 MPa) (p > 0.05), and the µTBS of Group I was significantly smaller than that of Group III (21.3 ± 7.2 MPa) (p < 0.05). The µTBS of Group IV (24.9 ± 3.8 MPa) was significantly greater than that of Group III (p < 0.05). Our findings indicate that silane treatment of the resin-coated surface can enhance the µTBS. Silane treatment of RBC base material was not effective when prepared without resin coating.
Robust Parking Space Recognition Approach Based on Tightly Coupled Polarized Lidar and Pre-Integration IMU
Authors: Chen Jialiang , Li Fei , Liu Xiaohui , Yuan Yuelin
Published: October 2024

Improving the accuracy of parking space recognition is crucial in the fields for Automated Valet Parking (AVP) of autonomous driving. In AVP, accurate free space recognition significantly impacts the safety and comfort of both the vehicles and drivers. To enhance parking space recognition and annotation in unknown environments, this paper proposes an automatic parking space annotation approach with tight coupling of Lidar and Inertial Measurement Unit (IMU). First, the pose of the Lidar frame was tightly coupled with high-frequency IMU data to compensate for vehicle motion, reducing its impact on the pose transformation of the Lidar point cloud. Next, simultaneous localization and mapping (SLAM) were performed using the compensated Lidar frame. By extracting two-dimensional polarized edge features and planar features from the three-dimensional Lidar point cloud, a polarized Lidar odometry was constructed. The polarized Lidar odometry factor and loop closure factor were jointly optimized in the iSAM2. Finally, the pitch angle of the constructed local map was evaluated to filter out ground points, and the regions of interest (ROI) were projected onto a grid map. The free space between adjacent vehicle point clouds was assessed on the grid map using convex hull detection and straight-line fitting. The experiments were conducted on both local and open datasets. The proposed method achieved an average precision and recall of 98.89% and 98.79% on the local dataset, respectively; it also achieved 97.08% and 99.40% on the nuScenes dataset. And it reduced storage usage by 48.38% while ensuring running time. Comparative experiments on open datasets show that the proposed method can adapt to various scenarios and exhibits strong robustness.
The Impact of Freeze Drying on Bioactivity and Physical Properties of Food Products
Authors: Coşkun Nurten , Sarıtaş Sümeyye , Jaouhari Yassine , Bordiga Matteo , Karav Sercan
Published: October 2024

Freeze drying (FD) is a technique used to preserve the bioactive content and flavor of samples. Foods with a short shelf life due to nature have been preserved via FD in recent years. The success of the drying technique is thanks to the high retention ability of the bioactive compounds and the flavor of the sample. However, the high cost and energy consumption of FD limit its usage in several fields. Freezing, primary drying, and secondary drying, which take place in the same device, are the stages of FD. In addition, several parameters, including pretreatment, size, temperature, sample species, time, and pressure, affect the FD process. These parameters are controlled to increase the effectiveness of FD on the samples. Moreover, FD has been compared with other drying techniques including hot air drying, microwave drying, vacuum drying, and solar drying to determine its protective capability. It has also been applied to the valorization of waste products, which is a common problem worldwide. For valorization, microencapsulation and powder production have been achieved using FD. In recent years, studies on the effects and use of FD on various materials increased, providing new aspects for the future of science and food industry.
Visual Modeling Method for Ship Piping Network Programs in Engine Simulators
Authors: Wu Xiaoyu , He Zhibin , Liu Shufeng , Yu Zhongkai
Published: October 2024

Nowadays, engine room simulators have become an important tool for maritime training, but programming engine room simulators often involves handling large amounts of data, making the process inefficient. This paper proposes an innovative visual modeling method for the ship pipeline network program in engine room simulators, aimed at addressing the heavy programming tasks associated with traditional text-based design and calculation methods when dealing with complex and large-scale pipeline systems. By creating Scalable Vector Graphics (SVG) images and using Windows Presentation Foundation (WPF) to place controls, an intuitive graphical user interface is built, allowing programmers to easily operate through the graphical interface. Subsequently, You Only Look Once version 5 (YOLOv5) object detection technology is used to identify the completed SVG images and WPF controls, generating corresponding Comma-Separated Values (CSV) files, which are then used as data input via C# (C Sharp). Through automated data processing and equipment recognition, compared to traditional manual design processes (such as using Matlab or C++ for pipeline design), this method reduces human errors and improves programming accuracy. Customization of key pipeline characteristics (such as maximum flow and flow direction) enhances the accuracy and applicability of the pipeline network model. The intuitive user interface design also allows nonprofessional users to easily design and optimize pipeline systems. The results show that this tool not only improves the efficiency of data processing and calculation but also demonstrates excellent performance and broad application prospects in the design and optimization of ship pipeline systems. In the future, this tool is expected to be more widely promoted in ship pipeline network education and practical applications, driving the field towards more efficient and intelligent development.
Luminescent Materials for Dye-Sensitized Solar Cells: Advances and Directions
Authors: Onah Emeka Harrison , Lethole N. L. , Mukumba P.
Published: October 2024

Dye-sensitized solar cells (DSSCs) are a type of thin-film solar cell that has been extensively studied for more than two decades due to their low manufacturing cost, flexibility and ability to operate under low-light conditions. However, there are some challenges that need to be addressed, such as energy losses, material integration, weak photocurrent generation and stability, to enhance the performance of DSSCs. One of the approaches to enhance the performance of DSSCs is the use of luminescent materials. These are materials that can absorb light and re-emit at different wavelengths, allowing the conversion of ultraviolet (UV) and near-infrared (NIR) light, which DSSCs do not efficiently utilize, into visible light that can be absorbed. The main objective of this article is to provide an in-depth review of the impact of luminescent materials in DSSCs. Research interest on luminescent materials, particularly down conversion, up-conversion and quantum dots, was analyzed using data from the “Web of Science”. It revealed a remarkable number of over 200,000 publications in the past decade. Therefore, the state of the art of luminescent materials for enhancing the performance of the solar cells was reviewed, which showed significant potential in enhancing the performance of DSSCs.
Endowed Polyphenols in Advanced Delivery Systems for Vaginal Infections
Authors: Apolinário Eduardo , Castro Maria Leonor , Pintado Manuela , Ferreira João Paulo , Baptista-Silva Sara , Borges Sandra
Published: October 2024

Vaginal infections (VIs) are the result of the nefarious vaginal polymicrobial universe (i.e., Gardnerella vaginalis, Prevotella spp., Staphylococcus spp., Candida albicans, etc.), the inhabitants of which multiply and infect the surface of the vaginal epithelium, which serves as a scaffold for the adhesion of pathogenic poly-complexes with interactive abilities. VIs affect over 1 billion women per year and have a stunning annual relapse rate of 30%. These conditions impact women’s quality of life and fertility and cause oncogenic Human Papillomavirus (HPV) persistence. VIs are typically treated with oral (i.e., Flagyl®) and localized drug tablets and creams/gels (i.e., Clindesse®), with potential leakage from the vaginal tract upon administration leading to the failure of the treatment. This study intends to highlight polyphenols as potential therapeutic agents in terms of their benefits and limitations and suggest strategies to increase their effectiveness. Polyphenols are natural compounds rich in phenolic structures which have an impact on this type of pathology and deserve the utmost attention from researchers. Natural polyphenols have several advantages: renewability, biodegradability, low environmental impact, biocompatibility, application versatility, bioactive properties, and the potential for sustainable applications. These compounds, formulated in advanced delivery systems, may natively exhibit antioxidant, anti-inflammatory, and antimicrobial activities. The main objective of this review is to highlight the importance of researching new and effective formulations to prevent and treat VIs based on natural, controlled, and sustainable systems.