Remote Function Research Articles

Publisher Correction: Stereoselective synthesis through remote functionalization

Publisher Correction: Stereoselective synthesis through remote functionalization

Remote C5-Selective Functionalization of Naphthalene Enabled by P–Ru–C Bond-Directed δ-Activation

Remote C5-Selective Functionalization of Naphthalene Enabled by P–Ru–C Bond-Directed δ-Activation

A Secure Communication and Access Control Scheme for Native Libraries of Android Applications

The Android system cannot perform fine-grained permission management for TPLs (third-party libraries) in applications. TPLs can use all permissions of the host application, which poses a threat to users and system security. In order to solve this problem, this paper studies the underlying principles of multiple modules in the framework and kernel layers of the Android system. We construct a fine-grained access control scheme for native libraries through technologies such as isolation environment creation, remote function call, and dynamic permission management. We also implement the prototype system. The experimental results show that our proposed scheme can effectively assist developers in managing the permissions of the native libraries in a fine-grained manner and curb the suspicious privileged behaviors of the native libraries. Meanwhile, our proposed scheme is adaptable for high-version Android systems with reasonable overhead, and it will not break the current Android security mechanisms.

Remote Alkenylation via Carbopalladation/1,4‐Palladium Migration/Heck Reaction Sequence with Unactivated Alkenyl Alcohols

AbstractIntramolecular C−H bond activation via 1,4‐palladium migration has become a synthetic tool to enable remote functionalization of C−H bonds. In this work, we report a Pd‐catalyzed remote alkenylation with unactivated alkenyl alcohols involving a 1,4‐palladium migration step. This method provides a regioselective access to synthesize substituted unsaturated alcohols in a single operational step.magnified image

Based on Arduino Design of Intelligent Exploration Vehicles

This paper details the design and implementation of the hardware circuit of the intelligent cart motion control system, and uses a variety of virtual reality and visual sensing technologies to design an environmental detection and search and rescue robot under complex conditions. Infrared technology is used to achieve the function of automatic obstacle avoidance of the trolley, ultrasonic technology is used to achieve the function of distance measurement, Bluetooth is used to achieve the function of wireless remote control of the trolley, GPS technology is used to display the geographical position of the trolley, a homemade bionic robotic arm is installed, and the robotic arm servo can be controlled by PC upper computer, Bluetooth and homemade body remote sensing controller to work to achieve the removal of obstacles and unknown environment and dangerous areas The information is collected through a PC, Bluetooth and a home-made body telemetry controller.

Dynamic Data-Driven Modelling of Water Allocation for the Internet of Things

The allocation of water resources is an important aspect of maintaining public security, but there are still many problems in water resources management. The application of IoT technology in water resources management mainly focuses on water quality detection and water flow monitoring. For the allocation of water resources, the application of the Internet of things technology is not deep and sufficient, and the advantages of the Internet of things technology in water resources management are not fully utilized. In view of the above problems in the current situation, this paper proposes solutions for smart water resources. Smart water resources combine geographic information technology and Internet of things technology to visualize a map of water resources and realize the whole process management from the source to the end user and automatic data collection and analysis. Therefore, an intelligent system with remote control function is constructed, which can be applied to the practice of water resources allocation and realize the full utilization of water resources.

Catalytic Substrate-Selective Silylation of Primary Alcohols via Remote Functional-Group Discrimination.

Silylation of alcohols has generally been known to take place at the sterically most accessible less-hindered hydroxy group. Herein, the catalyst-controlled substrate-selective silylation of primary alcohols, in which the selectivity was controlled independently of the innate reactivity of the hydroxy group, based on the steric environment, is reported. The chain-length-selective silylation of 1,n-amino alcohol derivatives was achieved and 1,5-amino alcohol derivatives showed outstandingly high reactivity in the presence of analogues with a shorter or longer chain length under catalyst-controlled conditions. A highly substrate-selective catalytic silylation of pentanol analogues was also developed, in which the remote functionality at C(5) from the reacting hydroxy groups was effectively discriminated on silylation.

Catalytic Substrate‐Selective Silylation of Primary Alcohols via Remote Functional‐Group Discrimination

AbstractSilylation of alcohols has generally been known to take place at the sterically most accessible less‐hindered hydroxy group. Herein, the catalyst‐controlled substrate‐selective silylation of primary alcohols, in which the selectivity was controlled independently of the innate reactivity of the hydroxy group, based on the steric environment, is reported. The chain‐length‐selective silylation of 1,n‐amino alcohol derivatives was achieved and 1,5‐amino alcohol derivatives showed outstandingly high reactivity in the presence of analogues with a shorter or longer chain length under catalyst‐controlled conditions. A highly substrate‐selective catalytic silylation of pentanol analogues was also developed, in which the remote functionality at C(5) from the reacting hydroxy groups was effectively discriminated on silylation.

Design of Distance Assistance System for Intelligent Education by Web-based Applications

In order to improve the quality of distance education and solve the problem of slow data processing of the teaching system, an intelligent distance education assistance system based on WEB is developed in this paper. After verification, students, teachers and administrators log into the distance intelligent teaching assistance system and transmit various information to the interface of the teaching and administration subsystems. The submitted information is merged using the Bayesian model for integrating educational resources in the digital cloud to create a distance education database that supports the system with data. At the same time, the evaluation of the business logic of the data is performed. After the data is converted to other formats in the subsequent convertible database, it returns to the user interface to provide browsing and consulting functions for users. The experimental results show that the designed system can realize the remote auxiliary function of intelligent education and effectively improve the quality of teaching. The real-time data acquisition rate of the system in this paper is always equal to the set value. The average acceleration of the system in this paper is 5.5 and the data processing efficiency is higher. The minimum safety factor of the system is between 7.8 and 8.5, and the system has high stability. The user satisfaction of the system is over 93%, and the accuracy of the collected data is relatively high. The auxiliary system designed in this paper can provide a stable and efficient application environment for distance education.

Distal Construction of a Carbon‐SCF2R Bond on Aliphatic Alcohols Enabled by 1,5‐Hydrogen‐Atom Transfer

AbstractAn approach for the distal construction of a C(sp3)−SCF2R bond on aliphatic alcohols enabled by 1,5‐hydrogen‐atom transfer (HAT) was developed. In the presence of a hypervalent iodine (PIDA) and readily available ArSO2SCF2R reagents, this transition metal‐free approach allowed the remote functionalization of a broad variety of alcohols with emergent and high added‐value SCF2R moieties (R=H, F, CO2Et and PO(OEt)2) under blue light irradiation.magnified image

Alkene remote functionalization by a well-defined nickel hydride

In this issue of Chem Catalysis , Koh and coworkers report a new variant of remote functionalization of alkenes with a well-defined Ni hydride catalyst, generated by reduction of Ni(II) in the presence of secondary phosphine oxides. In this issue of Chem Catalysis , Koh and coworkers report a new variant of remote functionalization of alkenes with a well-defined Ni hydride catalyst, generated by reduction of Ni(II) in the presence of secondary phosphine oxides.

Development of a Smart Motion Detection Device for Home and Office Security Applications

Abstract: The aim of this paper is to develop, implement and test an effective and practical working solution to a smart motion detector for LPWAN technologies using appropriate software and hardware platform. The smart motion detection system consists of a Raspberry Pi, an LCD display, PIR sensors, and wires. The hardware design collaborates with Python programming by being installed on a Raspberry Pi, and it is a key function to detect who is entering a room. The proposed smart motion detector will be able to detect whether a person is leaving or entering a room by analyzing signals from multiple motion sensors. The research carried out a comparative analysis of LoRA, SigFox, NB-IOT Low Power Wide Area Network technologies which include the principle of operation, characteristics, hardware, and make recommendation for the most suitable technology. The remote status update function implementation was done where the system sends the motion events to the cloud over a wireless interface using MQTT protocol. The evaluation which was based on extensive simulation demonstrated the detection of each sensor. Keywords: Smart motion detector, Raspberry pi, Python coding, PIR sensors, LPWAN technologies

Teaching Mode Based on Educational Big Data Mining and Digital Twins.

Data mining technology has gradually become an important data analysis and knowledge discovery technology widely used in many modern industries. Data mining is a technique to find its regularity from a large amount of data by analyzing each data. It mainly includes three steps: data preparation, regularity search, and regularity representation. Data preparation is to select the required data from relevant data sources and integrate them into a data set for data mining; regular search is to find out the regularity contained in the data set by a certain method; regular expression is to be as user-readable as possible. The way of understanding (such as visualization) will represent the found patterns. This research mainly discusses the improvement of teaching mode based on digital twin-based education big data mining. Through the research on the basic principles of data mining and digital twin technology, the student evaluation tool module based on digital twin and the relevant data analysis tool module of students based on digital twin education big data mining are developed. Data mining is carried out from the data of student performance, personal basic information, and evaluation information to find the correlation between various factors, find the hidden laws, and provide support for teaching decision-making. This paper also solves the problem of frequent communication with remote databases according to the characteristics of the database data required by students and improves the efficiency and scalability of education big data mining technology based on digital twins. The goal of the virtual interactive system of the digital twin-based CNC platform is to have both three-dimensional real-time monitoring and remote control functions based on a three-dimensional virtual CNC panel. This research integrates the three-dimensional real-time monitoring and remote control of the virtual interactive system, analyzes the system operation process, develops the system interface, and improves the system sub-functions; it builds an experimental environment, conducts example tests on various functions of the digital twin platform virtual interactive system, and performs virtual interactions system performance indicators are analyzed. 60% of students believe that their innovation ability has been improved after the implementation of the digital twin teaching model; 50% of students believe that their self-evaluation ability has been improved. Applying digital twin's educational big data mining to student information management, university teaching evaluation, student performance analysis, and examination system, it has played a very good guiding role in improving the level of school teaching management.

Modular Ni(0)/Silane Catalytic System for the Isomerization of Alkenes

Alkenes are used ubiquitously as starting materials and synthetic targets in all areas of chemistry. Controlling their geometry and position along a chain is vital to their reactivity and properties yet remains challenging. Alkene isomerization is an atom-economical process to synthesize targeted alkenes, and selectivity can be controlled using transition metal catalysts. The development of mild, selective isomerization reactivity has enabled efficient tandem catalytic systems for the remote functionalization of alkenes, a process in which a starting alkene is isomerized to a new position prior to the functionalization step. The key challenges in developing isomerization catalysts for remote functionalization applications are (i) a lack of modularity in the catalyst structure and (ii) the requirement of nonmodular and/or harsh additives during catalyst activation. We address both challenges with a modular (NHC)Ni(0)/silane catalytic system (NHC, N-heterocyclic carbene), demonstrating the use of triaryl silanes and readily accessible (NHC)Ni(0) complexes to form the proposed active (NHC)(silyl)Ni–H species in situ. We show that modification of the steric and electronic nature of the catalyst via modification of the ancillary ligand and silane partner, respectively, is easily achieved, creating a uniquely versatile catalytic system that is effective for the formation of internal alkenes with high yield and selectivity for the E-alkene. The use of silanes as mild activators enables isomerization of substrates with a variety of functional groups, including acid-labile groups. The broad substrate scope, enabled by catalyst design, makes this catalytic system a strong candidate for use in tandem catalytic applications. Preliminary mechanistic studies support a Ni–H insertion/elimination pathway.

Ir-Catalyzed Remote Functionalization by the Combination of Deconjugative Chain-Walking and C-H Activation Using a Transient Directing Group.

An Ir-catalyzed reaction of N-benzylideneanilines with functionalized alkenes such as α,β-unsaturated esters gave ortho-substituted benzaldehyde derivatives with a functional group at the remote position after acidic treatment. The present transformation involves deconjugative long-range isomerization (chain-walking) up to 11 times and C-H activation using an imino group as a transient directing group.

Skeletal Analogues of UCS1025A and B by Cyclization of Maleimides: Synthesis and Biological Activity

AbstractApplication of a direct ring-closing approach which exploits an intramolecular aldol reaction with a ketene silyl acetal onto a remote imide function leading to the core skeleton of UCS1025A and B effectively provides access to small library of substituted analogues; of interest is their complete lack of antibacterial activity against MRSA (Gram+) and E. coli (Gram–) bacterial strains.

Radical Alkene-Trifluoromethylation-Triggered Nitrile Insertion/Remote Functionalization Relay Processes: Diverse Synthesis of Trifluoromethylated Azaheterocycles Enabled by Copper Catalysis.

A copper-catalyzed alkene-trifluoromethylation-triggered nitrile insertion/remote functionalization relay process has been achieved, in which "interrupted" remote 1,n-difunctionalizations of alkenes with nitrile insertion can deliver iminyl radical intermediates instead of C-based radicals, followed by subsequent 1,n-HAT to furnish corresponding remote functionalization. This relay protocol enables a straightforward approach to streamline the assembly of structurally diverse trifluoromethylated azaheterocycles.

Secondary phosphine oxide-activated nickel catalysts for site-selective alkene isomerization and remote hydrophosphination

Catalytic systems that are readily modifiable to achieve olefin migration or remote functionalization are highly sought after in chemical synthesis. Here, we show that the combination of a commercially available nickel(II) pre-catalyst and a secondary phosphine oxide ligand enables site- and stereoselective alkene transposition for up to nine double-bond migrations within terminal and internal olefins under mild reductive conditions. Substrates bearing diverse functionalities including Brønsted acidic and reducible carbonyl groups are tolerated. Mechanistic and spectroscopic studies revealed the in situ generation of a catalytically active nickel-hydride species triggered by oxidative addition of the phosphine oxide. The reaction is amenable to regioconvergent isomerization as well as β-selective remote hydrophosphination when stoichiometric secondary phosphine oxide and base were employed.

Cinchona Derivatives as Bifunctional H‐bonding Organocatalysts in Asymmetric Vinylogous Conjugate Addition Reactions

AbstractAsymmetric vinylogous conjugate addition reactions constitute an essential class of enantioselective C−C bond‐forming transformations characterized by remote functionalization of substrates and the construction of distal stereocenters. After the renaissance of organocatalysis in 2000, vinylogous addition methodologies have seen new horizons of development. Cinchona alkaloids and some of their derivatives have appeared as efficient chiral catalysts in several organic transformations. Their non‐toxicity, low cost, availability in pseudo‐enantiomeric forms, and “open flask” reaction procedures have been the main reasons behind their success in asymmetric synthesis. These organocatalysts have also shown remarkable applications in vinylogous chemistry. This mini‐review covers the developments of asymmetric vinylogous conjugate addition (VCA) reactions under bifunctional cinchona alkaloids/derivatives catalysis.

Expanding the Galaxy's reference data.

SummaryProperly and effectively managing reference datasets is an important task for many bioinformatics analyses. Refgenie is a reference asset management system that allows users to easily organize, retrieve and share such datasets. Here, we describe the integration of refgenie into the Galaxy platform. Server administrators are able to configure Galaxy to make use of reference datasets made available on a refgenie instance. In addition, a Galaxy Data Manager tool has been developed to provide a graphical interface to refgenie’s remote reference retrieval functionality. A large collection of reference datasets has also been made available using the CVMFS (CernVM File System) repository from GalaxyProject.org, with mirrors across the USA, Canada, Europe and Australia, enabling easy use outside of Galaxy.Availability and implementationThe ability of Galaxy to use refgenie assets was added to the core Galaxy framework in version 22.01, which is available from https://github.com/galaxyproject/galaxy under the Academic Free License version 3.0. The refgenie Data Manager tool can be installed via the Galaxy ToolShed, with source code managed at https://github.com/BlankenbergLab/galaxy-tools-blankenberg/tree/main/data_managers/data_manager_refgenie_pull and released using an MIT license. Access to existing data is also available through CVMFS, with instructions at https://galaxyproject.org/admin/reference-data-repo/. No new data were generated or analyzed in support of this research.