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JOURNAL ARTICLE
Saima Gaffar, Hilal Tayara, Kil To Chong
BACKGROUND: Angiogenesis plays a vital role in the pathogenesis of several human diseases, particularly in the case of solid tumors. In the realm of cancer treatment, recent investigations into peptides with anti-angiogenic properties have yielded encouraging outcomes, thereby creating a hopeful therapeutic avenue for the treatment of cancer. Therefore, correctly identifying the anti-angiogenic peptides is extremely important in comprehending their biophysical and biochemical traits, laying the groundwork for uncovering novel drugs to combat cancer...
April 9, 2024: Computers in Biology and Medicine
#22
JOURNAL ARTICLE
Xin Chang Zou, Cheng Wei Luo, Rong Man Yuan, Meng Ni Jin, Tao Zeng, Hai Chao Chao
Radiomics and machine learning have been extensively utilized in the realm of urinary stones, particularly in forecasting stone treatment outcomes. The objective of this study was to integrate clinical variables and radiomic features to develop a machine learning model for predicting the stone-free rate (SFR) following percutaneous nephrolithotomy (PCNL). A total of 212 eligible patients who underwent PCNL surgery at the Second Affiliated Hospital of Nanchang University were included in a retrospective analysis...
April 13, 2024: Urolithiasis
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JOURNAL ARTICLE
Jinqing Jiao, Tao Li, Guangwen Zhang, Jing Xiong, Xuqing Lang, Xiaolong Quan, Yiwei Cheng, Yuechang Wei
The research and development of alternatives to long-chain fluorocarbon surfactants are desperately needed because they are extremely toxic, difficult to break down, seriously harm the environment, and limit the use of conventional aqueous film-forming foam fire extinguishing agents. In this study, mixed surfactant systems containing the short-chain fluorocarbon surfactant perfluorohexanoic acid (PFHX A) and the hydrocarbon surfactant sodium dodecyl sulfate (SDS) were investigated by molecular dynamics simulation to investigate the microscopic properties at the air/water interface at different molar ratios...
April 3, 2024: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
#24
JOURNAL ARTICLE
Winston Dunn, Yanming Li, Ashwani K Singal, Douglas A Simonetto, Luis A Díaz, Francisco Idalsoaga, Gustavo Ayares, Jorge Arnold, María Ayala-Valverde, Diego Perez, Jaime Gomez, Rodrigo Escarate, Eduardo Fuentes-López, Carolina Ramirez-Cadiz, Dalia Morales-Arraez, Wei Zhang, Steve Qian, Joseph C Ahn, Seth Buryska, Heer Mehta, Nicholas Dunn, Muhammad Waleed, Horia Stefanescu, Andreea Bumbu, Adelina Horhat, Bashar Attar, Rohit Agrawal, Joaquín Cabezas, Victor Echavaría, Berta Cuyàs, Maria Poca, German Soriano, Shiv K Sarin, Rakhi Maiwall, Prasun K Jalal, Fátima Higuera-de-la-Tijera, Anand V Kulkarni, P Nagaraja Rao, Patricia Guerra-Salazar, Lubomir Skladaný, Natália Kubánek, Veronica Prado, Ana Clemente-Sanchez, Diego Rincon, Tehseen Haider, Kristina R Chacko, Gustavo A Romero, Florencia D Pollarsky, Juan C Restrepo, Luis G Toro, Pamela Yaquich, Manuel Mendizabal, Maria L Garrido, Sebastián Marciano, Melisa Dirchwolf, Victor Vargas, César Jiménez, David Hudson, Guadalupe García-Tsao, Guillermo Ortiz, Juan G Abraldes, Patrick S Kamath, Marco Arrese, Vijay H Shah, Ramon Bataller, Juan P Arab
BACKGROUND AIMS: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence (AI) in a global cohort, we sought to derive and validate an enhanced prognostic model. APPROACH AND RESULTS: The Global AlcHep initiative, a retrospective study across 23 centers in 12 countries, enrolled AH patients per NIAAA criteria. Centers were partitioned into derivation (11 centers, 860 patients) and validation cohorts (12 centers, 859 patients)...
April 12, 2024: Hepatology: Official Journal of the American Association for the Study of Liver Diseases
#25
JOURNAL ARTICLE
Jie-Yu Yue, Jing-Xian Luo, Zi-Xian Pan, Rui-Zhi Zhang, Peng Yang, Qing Xu, Bo Tang
Photocatalytic oxygen reduction reactions and water oxidation reactions are extremely promising green approaches for massive H2O2 production. Nonetheless, constructing effective photocatalysts for H2O2 generation is critical and still challenging. Since the network topology has significant impacts on the electronic properties of two dimensional (2D) polymers, herein, for the first time, we regulated the H2O2 photosynthetic activity of 2D covalent organic frameworks (COFs) by topology. Through designing the linking sites of the monomers, we synthesized a pair of novel COFs with similar chemical components on the backbones but distinct topologies...
April 12, 2024: Angewandte Chemie
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JOURNAL ARTICLE
Nikolaos Kostoglou, Sebastian Stock, Angelos Solomi, Damian M Holzapfel, Steven Hinder, Mark Baker, Georgios Constantinides, Vladislav Ryzhkov, Jelena Maletaskic, Branko Matovic, Jochen M Schneider, Claus Rebholz, Christian Mitterer
This study considers the influence of purity and surface area on the thermal and oxidation properties of hexagonal boron nitride (h-BN) nanoplatelets, which represent crucial factors in high-temperature oxidizing environments. Three h-BN nanoplatelet-based materials, synthesized with different purity levels and surface areas (~3, ~56, and ~140 m2 /g), were compared, including a commercial BN reference. All materials were systematically analyzed by various characterization techniques, including gas pycnometry, scanning electron microscopy, X-ray diffraction, Fourier-transform infrared radiation, X-ray photoelectron spectroscopy, gas sorption analysis, and thermal gravimetric analysis coupled with differential scanning calorimetry...
March 28, 2024: Nanomaterials
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JOURNAL ARTICLE
Jianshan Shi, Huirui Han, Song Chen, Wei Liu, Yanfen Li
BACKGROUND AND OBJECTIVE: Acute Kidney Injury (AKI) is a common and severe complication in patients diagnosed with sepsis. It is associated with higher mortality rates, prolonged hospital stays, increased utilization of medical resources, and financial burden on patients' families. This study aimed to establish and validate predictive models using machine learning algorithms to accurately predict the occurrence of AKI in patients diagnosed with sepsis. METHODS: This retrospective study utilized real observational data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database...
2024: PloS One
#28
JOURNAL ARTICLE
Shahzeb Bhutto, Fahad-Ul-Rehman Abro, Mohsin Ali, Abdul Salam Buller, Naraindas Bheel, Yaser Gamil, Taoufik Najeh, Ahmed Farouk Deifalla, Adham E Ragab, Hamad R Almujibah
The construction industry's rapid growth poses challenges tied to raw material depletion and increased greenhouse gas emissions. To address this, alternative materials like agricultural residues are gaining prominence due to their potential to reduce carbon emissions and waste generation. In this context this research optimizes the use of banana leaves ash as a partial cement substitution, focusing on durability, and identifying the ideal cement-to-ash ratio for sustainable concrete. For this purpose, concrete mixes were prepared with BLA replacing cement partially in different proportions i...
April 15, 2024: Heliyon
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JOURNAL ARTICLE
Monika Singh, Dipti Samal, Indu Bhusan Kar
INTRODUCTION: Noma is a polymicrobial necrotizing infection of the mouth and face which destroys the soft and hard tissues of the oral and paraoral structures. Malnutrition, poverty, lack of basic hygiene, and chronic disease state etc., possess a risk of developing noma. Noma neonatorum is a progressive gangrenous disease affecting the premature infants. AIM: We present a rare case of noma in an 18 months toddler with a chronic debilitating condition predisposing to the disease progression...
April 2024: Journal of Maxillofacial and Oral Surgery
#30
JOURNAL ARTICLE
Ronald Chow, Charles B Simone, Andreas Rimner
Superior vena cava (SVC) syndrome occurs due to obstructed blood flow through the SVC. It can present clinically on a spectrum, between asymptomatic and life-threatening emergency. Patients commonly report a feeling of fullness in the head, facial, neck and upper extremity edema, and dyspnea. On imaging, patients commonly have superior mediastinal widening and pleural effusion. The majority of cases are due to malignant causes, with non-small cell lung cancer, small cell lung cancer, and lymphoma the most commonly associated malignancies...
April 8, 2024: Annals of Palliative Medicine
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JOURNAL ARTICLE
Ke-Run Quan, Wen-Rong Lin, Jia-Biao Hong, Yu-Hao Lin, Kai-Qiang Chen, Ji-Hong Chen, Pin-Jing Cheng
The purpose of this study was to establish an integrated predictive model that combines clinical features, DVH, radiomics, and dosiomics features to predict RIHT in patients receiving tomotherapy for nasopharyngeal carcinoma. Data from 219 patients with nasopharyngeal carcinoma were randomly divided into a training cohort (n = 175) and a test cohort (n = 44) in an 8:2 ratio. RIHT is defined as serum thyroid-stimulating hormone (TSH) greater than 5.6 μU/mL, with or without a decrease in free thyroxine (FT4)...
April 10, 2024: Scientific Reports
#32
JOURNAL ARTICLE
Xi Xi Min, Wei Chen, Xiong Zeng, Xiande Zeng, Xianhua Zhu, Kang Hui Dai, Zhi Nan Ju, Wei Min Zhou, Jiehua Qiu
PURPOSE: This study aims to conduct a comparative analysis of the clinical efficacy and safety between pharmacomechanical thrombectomy (PMT) and catheter-directed thrombolysis (CDT) in the context of acute lower-extremity deep venous thrombosis (LEDVT). MATERIALS AND METHODS: A retrospective review of our institution's patient database spanning from February 2011 to December 2019 was performed to identify cases of acute LEDVT. The patients were categorized into two distinct groups based on the thrombolytic interventions administered: the PMT group, specifically denoting PMT with AngioJet in our investigation, and the CDT group...
April 8, 2024: Annals of Vascular Surgery
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JOURNAL ARTICLE
Harin B Parikh, Mackinzie Stanley, Cassie C Tseng, David A Kulber, Stuart H Kuschner
BACKGROUND: Knowing the questions and concerns that patients have regarding treatment options for lateral epicondylitis may allow for shared-decision making and potentially superior patient outcomes and satisfaction. In the present study, we aimed to further delineate patient preferences with treatment of lateral epicondylitis. METHODS: An online, survey-based, descriptive study was conducted through Amazon Mechanical Turk. Survey participants were presented with a clinical scenario regarding lateral epicondylitis and asked four questions regarding treatment preferences for nonoperative treatment, whether they would consider platelet-rich plasma (PRP) injection, and whether they would consider surgical intervention for recalcitrant symptoms...
April 2024: Plastic and Reconstructive Surgery. Global Open
#34
REVIEW
Wei Chen, Lincoln Jian Rong Lim, Rebecca Qian Ru Lim, Zhe Yi, Jiaxing Huang, Jia He, Ge Yang, Bo Liu
Magnetic resonance imaging (MRI) is an indispensable medical imaging examination technique in musculoskeletal medicine. Modern MRI techniques achieve superior high-quality multiplanar imaging of soft tissue and skeletal pathologies without the harmful effects of ionizing radiation. Some current limitations of MRI include long acquisition times, artifacts, and noise. In addition, it is often challenging to distinguish abutting or closely applied soft tissue structures with similar signal characteristics. In the past decade, Artificial Intelligence (AI) has been widely employed in musculoskeletal MRI to help reduce the image acquisition time and improve image quality...
April 15, 2024: Heliyon
#35
JOURNAL ARTICLE
Hao Liang, Zhenling Deng, Shu Niu, Weijie Kong, Yang Liu, Song Wang, Haiyan Li, Yue Wang, Danxia Zheng, Dongyang Liu
Primary membranous nephropathy (PMN) is the most common cause for adult nephrotic syndrome. Rituximab has demonstrated promising clinical efficacy by random controlled trials and the off-label use is widely adopted in PMN. However, the standard dosage is borrowed from B cell lymphoma treatment with far more antigens and is oversaturated for PMN treatment, accompanied with additional safety risk and unnecessary medical cost. More than 15% serious adverse events were observed under standard dosage and low dose therapies were explored recently...
2024: Frontiers in Pharmacology
#36
MULTICENTER STUDY
Yosuke Hirasawa, Takahiro Adachi, Takeshi Hashimoto, Wataru Fukuokaya, Yuhei Koike, Yuji Yata, Kazumasa Komura, Taizo Uchimoto, Takuya Tsujino, Kazuki Nishimura, Kiyoshi Takahara, Masanobu Saruta, Kazutoshi Fujita, Mamoru Hashimoto, Hirotsugu Uemura, Ryoichi Shiroki, Takashi Azuma, Takahiro Kimura, Yoshio Ohno
OBJECTIVES: Enfortumab vedotin (EV) is a novel antibody-drug conjugate approved for metastatic urothelial carcinoma (UC) refractory to prior treatment with immune checkpoint inhibitors (ICIs). However, the difference in efficacy of EV after each ICIs and prognostic factors are not well known. We aimed to compare the efficacy of EV in patients with metastatic UC who were treated with avelumab or pembrolizumab and to identify the prognostic factors. METHODS: The records of 100 patients with advanced metastatic UC who received EV after the administration of either avelumab or pembrolizumab were retrospectively collected from five academic hospitals in Japan...
April 9, 2024: Journal of Cancer Research and Clinical Oncology
#37
JOURNAL ARTICLE
Zhengfang Hou, Fangyuan Fan, Zhe Wang, Yeshuang Du
Recently, there has been a significant interest in the study of highly active and stable transition metal-based electrocatalysts for the oxygen evolution reaction (OER). Non-noble metal nanocatalysts with excellent inherent activity, many exposed active centers, rapid electron transfer, and excellent structural stability are especially promising for the displacement of precious-metal catalysts for the production of sustainable and "clean" hydrogen gas through water-splitting. Herein, efficient electrocatalyst N-doped nickel molybdate nanorods were synthesized on Ni foam by a hydrothermal process and effortless chemical vapor deposition...
April 9, 2024: Dalton Transactions: An International Journal of Inorganic Chemistry
#38
REVIEW
Christos Argyriou, Vasiliki Varlami, Katerina Kambouri, Miltos K Lazarides, George S Georgiadis
OBJECTIVES: Pediatric extremity vascular injuries constitute a rare yet serious entity that can lead to serious complications especially if left untreated or become late diagnosed. In our scoping review, we sought to evaluate different characteristics and outcomes of pediatric and combined adult trauma centers in the management of pediatric extremity vascular injury. METHODS: We sought to analyze various characteristics and parameters that differentiate a dedicated pediatric and a combined pediatric adult trauma center in terms of effectiveness and quality of care in the acute setting and to describe special features and characteristics of an acute vascular disease that constitute pediatric population unique from the aspect of diagnosis and management...
April 6, 2024: Annals of Vascular Surgery
#39
JOURNAL ARTICLE
Lei Zhang, Yuhang Zhou, Yi Yang, Xinbo Gao
Despite providing high-performance solutions for computer vision tasks, the deep neural network (DNN) model has been proved to be extremely vulnerable to adversarial attacks. Current defense mainly focuses on the known attacks, but the adversarial robustness to the unknown attacks is seriously overlooked. Besides, commonly used adaptive learning and fine-tuning technique is unsuitable for adversarial defense since it is essentially a zero-shot problem when deployed. Thus, to tackle this challenge, we propose an attack-agnostic defense method named Meta Invariance Defense (MID)...
April 8, 2024: IEEE Transactions on Pattern Analysis and Machine Intelligence
#40
JOURNAL ARTICLE
Alina Amanzholova, Aysun Coşkun
Efficiently detecting and treating cancer at an early stage is crucial to improve the overall treatment process and mitigate the risk of disease progression. In the realm of research, the utilization of artificial intelligence technologies holds significant promise for enhancing advanced cancer diagnosis. Nonetheless, a notable hurdle arises when striving for precise cancer-stage diagnoses through the analysis of gene sets. Issues such as limited sample volumes, data dispersion, overfitting, and the use of linear classifiers with simple parameters hinder prediction performance...
2024: Frontiers in big data
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