Poly-sulfobetaine surface modification on a vascular catheter inhibits microbial adherence and thrombosis.

Abstract Phosphine‐mediated deoxygenative nucleophilic substitutions, such as the Mitsunobu reaction, are of great importance in organic synthesis. However, conventional protocols require stoichiometric oxidants to trigger formation oxyphosphonium intermediates for subsequent additions. Through dual catalysis photoredox and cobaloxime, we realized a radical strategy catalytic acyloxyphosphonium ions that enables direct amidation. The protocol exhibits broad scope has been used late‐stage...

Hyperspectral image classification presents challenges due to spectral redundancy and complex spatial-spectral dependencies. This paper proposes a novel framework, DCT-Mamba3D, for hyperspectral classification. DCT-Mamba3D incorporates: (1) 3D spectral-spatial decorrelation module that applies discrete cosine transform basis functions reduce both spatial redundancy, enhancing feature clarity across dimensions; (2) 3D-Mamba leverages bidirectional state-space model capture intricate...

BACKGROUND Sepsis-associated liver injury (SLI) is a severe and prevalent complication of sepsis. AIM To explore the literature on SLI via bibliometric approach. METHODS Reviews articles correlated with published from January 1, 2000 to October 28, 2023 were searched Web Science Core Collection. Then, data analyzed using VOSviewer, CiteSpace, R language. RESULTS There 787 publications involved in this paper, comprising 745 42 reviews. China, United States, Germany are primary publication...

This study aimed to analyse the association between lipoprotein-associated phospholipase A2 (Lp-PLA2) and 25-hydroxy-vitamin D (25[OH]D) early diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM) evaluate potential roles of these two biomarkers clinical diagnosis DKD.

Abstract Phosphine‐mediated deoxygenative nucleophilic substitutions, such as the Mitsunobu reaction, are of great importance in organic synthesis. However, conventional protocols require stoichiometric oxidants to trigger formation oxyphosphonium intermediates for subsequent additions. Through dual catalysis photoredox and cobaloxime, we realized a radical strategy catalytic acyloxyphosphonium ions that enables direct amidation. The protocol exhibits broad scope has been used late‐stage...

Big data technology has been developed rapidly in recent years. The performance improvement mechanism of targeted poverty alleviation is studied through the big to further promote comprehensive application and development. Using mining knowledge accurately identify poor population under framework data, compared with traditional identification method, it obviously more accurate persuasive, which also helpful find out real causes assist residents future. In current work, households matching...

Drug incompatibility examination is an important process in clinical practices. Incorrect examinations will lead to adverse drug events and must be avoided the first place. According medical status quo, a conventional way for could checking compatibilities via looking up paper interaction table manually, but this less efficient, not portable thus inadvisable current In study, new software mobile intelligent terminals based on Android operating system developed, by which physicians cannot...

With the development of information technology and electric power industry, modern grid system gradually integrates computer intelligent technology. Distributed photovoltaic network, as an important supply using new sustainable energy, contains a large number terminal equipment, which leads to distributed network facing more serious security threats. In order promote construction protection system, this paper proposes device fingerprint access for system. Based on adaptive filtering,...

This research investigated potentials of bilingual digital story making to engage the creativity 13 Canadian and Chinese biliteracy learners aged 11–15. Findings in this paper draw on six focal participants their creation. Informed by asset-oriented multiliteracies, new media literacies, materialism, adopted a netnography methodology explore communal sociomaterial practices embedded intra-actions human, matter, virtual spaces Seesaw Skype. Drawing data from students, findings relate how...

Surgical nurses are essential resources in the surgery delivery system. However, staffing decisions present a challenge due to stochastic nature of surgical demand, nurse availability, skill requirements, and hospital regulations. Based on collaboration with large academic hospital, we planning level optimization models group services into teams goal achieving fairness training time, overnight volume, balance size across teams. Once created, further assign shifts teams, ensuring that...

Incomplete datasets with missing values increase the difficulty of data analysis. In this paper, incomplete are modeled based on Auto-Association Neural Network(AANN) and imputation. order to strengthen correlation among attributes samples, we propose an Attribute Mutual Associative Multi-Task Learning Model Based Confidence (AM-MTL). By optimizing transmission path nodes in output layer, construct MTL architecture which main imputation task is parallel secondary classification task, use...

Objective To evaluate the clinical application value of modified CURB-65 score for assessing severity community-acquired pneumonia (CAP) in emergency patients.Methods During period from May 2011 to 2012,198 patients with CAP enrolled this study were evaluated by and score,respectively.Based on CAP,patients divided into mild group (Group A,n =107) severe B,n =91).The status biomarkers (the white blood cell count,procalcitonin,pneumonia index,hospitalization days,and hospitalization expenses)...

Heart disease is one of the leading causes death worldwide. Understanding presence heart crucial for timely intervention and effective management. However, it still a challenging task to accurately diagnose treat disease. In this paper, we propose an ensemble machine learning model that combines predictive power three state-of-the-art algorithms: BERT (Bidirectional Encoder Representations from Transformers), FT-transformer, XG-Boost. Through extensive training evaluation, assess performance...

This research investigated potentials of bilingual digital story-making for engaging creativity in Canadian biliteracy learners (i.e., Canada who speak their heritage language Mandarin but are more fluent English) and Chinese China learning English as a foreign language). Informed by asset-oriented multiliteracies, new media literacies materialism, this adopted an ethnography methodology to explore the communal socio-material practices embedded intra-actions human, matter virtual spaces...

In the chronic disease diagnosis with high-dimensional clinical features, feature selection (FS) algorithms are widely applied to avoid sparse data. current FS algorithms, only population which in strong relevance states of all patients, extracted, while subspace weak patients but under a certain state, ignored. Eliminated relevant information features worsens performance classification models. To alleviate conflict extraction data, we propose two-phase model both and considered. For...

Amide sind in der biologischen und medizinischen Chemie allgegenwärtig. In ihrem Forschungsartikel (e202112668) berichten Jiannan Zhao et al. über eine “Oxidations-Reduktions-Kondensationsreaktion” mittels PPh3 als organischem Reduktionsmittel. Das synergistische Zusammenspiel zwischen einem Co(III)- Ir(III)-Photoredoxkatalysator ermöglicht die Bildung von Acyloxyphosphonium-Spezies, direkte Amidierung ermöglichen. Der synthetische Nutzen dieser photokatalytischen Methode wird durch schnelle...