74 research outputs found
Π€ΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ ΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎ-Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ
Logistics transportation systems are considered regarding development of the Physical Internet. The Physical Internet is widely defined as an open global logistics system founded on physical, digital, and operational interconnectivity, through encapsulation, interfaces, and protocols, similar to the Digital Internet [1; 2]. It is built based on standardisation of both containers for transportation of goods and the equipment intended for their handling and supply. This allows creating a practically new industry since the shipper does not specify the mode of transport, and the system works on the principles of the Digital Internet, routing containers (analogous to packages of the Digital Internet) and collecting them in the right place at the right time. The concept of the Physical Internet is aimed at implementation of full interconnectedness, in terms of data, information, physical and financial flows, of several networks of freight transportation logistics services, as well as at their readiness to be freely used as a single large logistics network. The seamless physical, digital, and financial interconnection of logistics networks will include transportation, storage, and physical handling of cargo units (containers, demountable bodies, pallets, etc) [3]. In other words, these are physical objects, and that justifies the designation of the entire system as of the Physical Internet. Naturally, such a system inevitably raises the issue of standardising such physical objects (by analogy with standardising Digital Internet packages). Hence, the term of so-called Γ°-containers appears associated with special unified containers for storage, handling, transportation of material objects within the Physical Internet system. Now, the Physical Internet is not a merely theoretical concept. Its implementation is being carried out in many countries. The first Russian companies have already started promoting this concept as well. The objective of the article is to review the current state of this logistics model in Russia and the world based on the analysis of the literature and practical implementations.Π ΡΠ°Π±ΠΎΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π²ΠΎΠΏΡΠΎΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎ-Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Ρ ΡΡΡΡΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠ°. Π¨ΠΈΡΠΎΠΊΠΎΠ΅ ΠΏΡΠΈΠ·Π½Π°Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡΡΠΈΠ»ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠ° ΠΊΠ°ΠΊ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠΉ ΠΎΡΠΊΡΡΡΠΎΠΉ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° ΠΏΡΠΈΠ½ΡΠΈΠΏΠ°Ρ
ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ, ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ, ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΈ ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΡΡ
Β«ΠΈΠ½ΡΠ΅ΡΡΠ΅ΠΉΡΠ°Ρ
Β» ΠΈ Β«ΠΏΡΠΎΡΠΎΠΊΠΎΠ»Π°Ρ
Β», ΠΏΠΎ Π°Π½Π°Π»ΠΎΠ³ΠΈΠΈ Ρ ΡΠΈΡΡΠΎΠ²ΡΠΌ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠΎΠΌ [1; 2]. ΠΠ½ ΠΏΠΎΡΡΡΠΎΠ΅Π½ Π½Π° Π±Π°Π·Π΅ ΡΠΈΠΏΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠ°ΠΊ ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅ΡΠΎΠ² Π΄Π»Ρ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΊΠΈ Π³ΡΡΠ·ΠΎΠ², ΡΠ°ΠΊ ΠΈ ΡΡΠ΅Π΄ΡΡΠ² ΠΈΡ
ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ Π΄ΠΎΡΡΠ°Π²ΠΊΠΈ. ΠΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΡΠΎΠ·Π΄Π°ΡΡ Π½ΠΎΠ²ΡΡ ΠΎΡΡΠ°ΡΠ»Ρ, Π² ΠΊΠΎΡΠΎΡΠΎΠΉ ΠΎΡΠΏΡΠ°Π²ΠΈΡΠ΅Π»Ρ Π³ΡΡΠ·Π° Π½Π΅ ΡΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π²ΠΈΠ΄ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ°, Π° ΡΠΈΡΡΠ΅ΠΌΠ° ΡΠ°Π±ΠΎΡΠ°Π΅Ρ ΠΏΠΎ ΠΏΡΠΈΠ½ΡΠΈΠΏΠ°ΠΌ ΡΠΈΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠ°, ΠΌΠ°ΡΡΡΡΡΠΈΠ·ΠΈΡΡΡ ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅ΡΡ (Π°Π½Π°Π»ΠΎΠ³ΠΈ ΠΏΠ°ΠΊΠ΅ΡΠΎΠ² Π² ΡΠΈΡΡΠΎΠ²ΠΎΠΌ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠ΅) ΠΈ ΡΠΎΠ±ΠΈΡΠ°Ρ ΠΈΡ
Π² Π½ΡΠΆΠ½ΠΎΠΌ ΠΌΠ΅ΡΡΠ΅ Π² Π½ΡΠΆΠ½ΠΎΠ΅ Π²ΡΠ΅ΠΌΡ. ΠΠΎΠ½ΡΠ΅ΠΏΡΠΈΡ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠ° Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π° Π½Π° ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΏΠΎΠ»Π½ΠΎΠΉ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π°Π½Π½ΠΎΡΡΠΈ Π² ΡΠ°ΡΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
, ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΏΠΎΡΠΎΠΊΠΎΠ², Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅ΠΉ Π³ΡΡΠ·ΠΎΠ²ΡΡ
ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΠΊ ΠΈ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΡΠ³, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈΡ
Π³ΠΎΡΠΎΠ²Π½ΠΎΡΡΡ ΠΊ Π±Π΅ΡΠΏΡΠ΅ΠΏΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΌΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΎΠ΄Π½ΠΎΠΉ Π±ΠΎΠ»ΡΡΠΎΠΉ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΡΠΈ. ΠΠ΅ΡΠΏΡΠ΅ΠΏΡΡΡΡΠ²Π΅Π½Π½ΠΎΠ΅ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ΅, ΡΠΈΡΡΠΎΠ²ΠΎΠ΅ ΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ΅ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠ΅ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅ΠΉ Π±ΡΠ΄Π΅Ρ Π²ΠΊΠ»ΡΡΠ°ΡΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ, Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π³ΡΡΠ·ΠΎΠ²ΡΡ
Π΅Π΄ΠΈΠ½ΠΈΡ (ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅ΡΠΎΠ², ΡΡΡΠΌΠ½ΡΡ
ΠΊΡΠ·ΠΎΠ²ΠΎΠ², ΠΏΠΎΠ΄Π΄ΠΎΠ½ΠΎΠ² ΠΈ Ρ.Π΄.) [3]. ΠΠ½ΡΠΌΠΈ ΡΠ»ΠΎΠ²Π°ΠΌΠΈ β ΡΡΠΎ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΠ±ΡΠ΅ΠΊΡΡ, ΡΡΠΎ ΠΈ Π΄Π°ΡΡ Π½Π°Π·Π²Π°Π½ΠΈΠ΅ Π²ΡΠ΅ΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅ β ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ. ΠΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ, ΡΡΠΎ Π² ΡΠ°ΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅ Π½Π΅ΠΈΠ·Π±Π΅ΠΆΠ½ΠΎ Π²ΡΡΠ°ΡΡ Π²ΠΎΠΏΡΠΎΡ ΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·Π°ΡΠΈΠΈ ΡΠ°ΠΊΠΈΡ
ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² (ΠΏΠΎ Π°Π½Π°Π»ΠΎΠ³ΠΈΠΈ ΡΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΏΠ°ΠΊΠ΅ΡΠΎΠ²). ΠΡΡΡΠ΄Π° ΠΈ ΠΏΠΎΡΠ²Π»ΡΡΡΡΡ ΡΠ°ΠΊ Π½Π°Π·ΡΠ²Π°Π΅ΠΌΡΠ΅ p-ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅ΡΡ β ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΡΠ½ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΉΠ½Π΅ΡΡ Π΄Π»Ρ Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ, Π³ΡΡΠ·ΠΎΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ, ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΠ°. ΠΠ° Π΄Π°Π½Π½ΡΠΉ ΠΌΠΎΠΌΠ΅Π½Ρ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ ΡΠΆΠ΅ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΊΠ°ΠΊ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΡ. ΠΠ³ΠΎ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΡΡΡΠ°Π½Π°Ρ
. ΠΡΡΡ ΡΠΆΠ΅ ΠΈ ΠΏΠ΅ΡΠ²ΡΠ΅ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΠ΅ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π°ΡΠ°Π»ΠΈ ΠΏΡΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠΉ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ. Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ±Π·ΠΎΡ ΡΠ΅ΠΊΡΡΠ΅Π³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΡΠΎΠΉ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π² Π ΠΎΡΡΠΈΠΈ ΠΈ ΠΌΠΈΡΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΉ
Architecting Enterprise Applications for the Cloud: The Unicorn Universe Cloud Framework
Β© Springer International Publishing AG, part of Springer Nature 2018. Recent IT advances that include extensive use of mobile and IoT devices and wide adoption of cloud computing are creating a situation where existing architectures and software development frameworks no longer fully support the requirements of modern enterprise application. Furthermore, the separation of software development and operations is no longer practicable in this environment characterized by fast delivery and automated release and deployment of applications. This rapidly evolving situation requires new frameworks that support the DevOps approach and facilitate continuous delivery of cloud-based applications using micro-services and container-based technologies allowing rapid incremental deployment of application components. It is also becoming clear that the management of large-scale container-based environments has its own challenges. In this paper, we first discuss the challenges that developers of enterprise applications face today and then describe the Unicorn cloud framework (uuCloud) designed to support the development and deployment of cloud-based applications that incorporate mobile and IoT devices. We use a doctor surgery reservation application βLekarβ case study to illustrate how uuCloud is used to implement a large-scale cloud-based application
Off-axis electron holography of bacterial cells and magnetic nanoparticles in liquid
The mapping of electrostatic potentials and magnetic fields in liquids usingelectron holography has been considered to be unrealistic. Here, we showthat hydrated cells ofMagnetospirillum magneticumstrain AMB-1 and assem-blies of magnetic nanoparticles can be studied using off-axis electronholography in a fluid cell specimen holder within the transmission electronmicroscope. Considering that the holographic object and reference waveboth pass through liquid, the recorded electron holograms show sufficientinterference fringe contrast to permit reconstruction of the phase shift ofthe electron wave and mapping of the magnetic induction from bacterialmagnetite nanocrystals. We assess the challenges of performingin situmagne-tization reversal experiments using a fluid cell specimen holder, discussapproaches for improving spatial resolution and specimen stability, and outlinefuture perspectives for studying scientific phenomena, ranging from interpar-ticle interactions in liquids and electrical double layers at solidβliquidinterfaces to biomineralization and the mapping of electrostatic potentialsassociated with protein aggregation and folding
CRISPR / CAS9 and its application in treatment and prevention of cardiovascular diseases
This article deals with the existing methods of treatment and modeling of cardiovascular diseases using CRISPR/Cas9 genome editing technologies. The most promising areas of application of genome editing in CVD were identified, as well as all the advantages and disadvantages of the possible use of CRISPR / Cas9 in clinical practice.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΡΠΏΠΎΡΠΎΠ±Ρ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ΅Π΄Π°ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π³Π΅Π½ΠΎΠΌΠ° CRISPR/Cas9. Π Ρ
ΠΎΠ΄Π΅ ΡΠ°Π±ΠΎΡΡ Π²ΡΠ΄Π΅Π»Π΅Π½Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ΅Π΄Π°ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π³Π΅Π½ΠΎΠΌΠ° Π² Π‘Π‘Π, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ Π²ΡΠ΅ Π΄ΠΎΡΡΠΎΠΈΠ½ΡΡΠ²Π° ΠΈ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ CRISPR/Cas9 Π² ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅.
ΞΌNDN: an Orchestrated Microservice Architecture for Named Data Networking
International audienceAs an extension of Network Function Virtualization, mi-croservice architectures are a promising way to design future network services. At the same time, Information-Centric Networking architectures like NDN would benefit from this paradigm to offer more design choices for the network architect while facilitating the deployment and the operation of the network. We propose NDN, an orchestrated suite of microservices as an alternative way to implement NDN forwarding and support functions. We describe seven essential micro-services we developed, explain the design choices behind our solution and how it is orchestrated. We evaluate each service alone and the whole microservice architecture through two realistic scenarios to show its ability to react and mitigate some performance and security issues thanks to the orchestration. Our results show that Β΅NDN can replace a monolithic NDN forwarder while being more powerful and scalable
The international clinical trials registry platform (ICTRP): data integrity and the trends in clinical trials, diseases, and drugs
Introduction: Clinical trials are the gold standard for testing new therapies. Databases like ClinicalTrials.gov provide access to trial information, mainly covering the US and Europe. In 2006, WHO introduced the global ICTRP, aggregating data from ClinicalTrials.gov and 17 other national registers, making it the largest clinical trial platform by June 2019. This study conducts a comprehensive global analysis of the ICTRP database and provides framework for large-scale data analysis, data preparation, curation, and filtering.Materials and methods: The trends in 689,793 records from the ICTRP database (covering trials registered from 1990 to 2020) were analyzed. Records were adjusted for duplicates and mapping of agents to drug classes was performed. Several databases, including DrugBank, MESH, and the NIH Drug Information Portal were used to investigate trends in agent classes.Results: Our novel approach unveiled that 0.5% of the trials we identified were hidden duplicates, primarily originating from the EUCTR database, which accounted for 82.9% of these duplicates. However, the overall number of hidden duplicates within the ICTRP seems to be decreasing. In total, 689 793 trials (478 345 interventional) were registered in the ICTRP between 1990 and 2020, surpassing the count of trials in ClinicalTrials.gov (362 500 trials by the end of 2020). We identified 4 865 unique agents in trials with DrugBank, whereas 2 633 agents were identified with NIH Drug Information Portal data. After the ClinicalTrials.gov, EUCTR had the most trials in the ICTRP, followed by CTRI, IRCT, CHiCTR, and ISRCTN. CHiCTR displayed a significant surge in trial registration around 2015, while CTRI experienced rapid growth starting in 2016.Conclusion: This study highlights both the strengths and weaknesses of using the ICTRP as a data source for analyzing trends in clinical trials, and emphasizes the value of utilizing multiple registries for a comprehensive analysis
Microservice Transition and its Granularity Problem: A Systematic Mapping Study
Microservices have gained wide recognition and acceptance in software
industries as an emerging architectural style for autonomic, scalable, and more
reliable computing. The transition to microservices has been highly motivated
by the need for better alignment of technical design decisions with improving
value potentials of architectures. Despite microservices' popularity, research
still lacks disciplined understanding of transition and consensus on the
principles and activities underlying "micro-ing" architectures. In this paper,
we report on a systematic mapping study that consolidates various views,
approaches and activities that commonly assist in the transition to
microservices. The study aims to provide a better understanding of the
transition; it also contributes a working definition of the transition and
technical activities underlying it. We term the transition and technical
activities leading to microservice architectures as microservitization. We then
shed light on a fundamental problem of microservitization: microservice
granularity and reasoning about its adaptation as first-class entities. This
study reviews state-of-the-art and -practice related to reasoning about
microservice granularity; it reviews modelling approaches, aspects considered,
guidelines and processes used to reason about microservice granularity. This
study identifies opportunities for future research and development related to
reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table
Predicting the solvation of organic compounds in aqueous environments: from alkanes and alcohols to pharmaceuticals
The development of accurate models to predict the solvation, solubility, and partitioning of nonpolar and amphiphilic compounds in aqueous environments remains an important challenge. We develop state-of-the-art group-interaction models that deliver an accurate description of the thermodynamic properties of alkanes and alcohols in aqueous solution. The group-contribution formulation of the statistical associating fluid theory based on potentials with a variable Mie form (SAFT-Ξ³ Mie) is shown to provide accurate predictions of the phase equilibria, including liquidβliquid equilibria, solubility, free energies of solvation, and other infinite-dilution properties. The transferability of the model is further exemplified with predictions of octanolβwater partitioning and solubility for a range of organic and pharmaceutically relevant compounds. Our SAFT-Ξ³ Mie platform is reliable for the prediction of challenging properties such as mutual solubilities of water and organic compounds which can span over 10 orders of magnitude, while remaining generic in its applicability to a wide range of compounds and thermodynamic conditions. Our work sheds light on contradictory findings related to alkaneβwater solubility data and the suitability of models that do not account explicitly for polarity
Π€ΡΡΡΠ΅-ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΡΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠΈΡΡΠ΅ΠΌΠ°Ρ ΠΊΠ°ΠΊ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ Π·Π°Π΄Π°Ρ ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ
Applications of the most common adaptation of Fourier analysis in spherical coordinate systems used to solve a number of problems in structural biology, namely, flat wave decomposition (flat waves are represented as spherical functions decomposition), are herein considered. Arguments in favor of this decomposition are compared with other decompositions in superposition of special functions. A more general justification for the correctness of this decomposition is obtained than that existing today. A method for representing groups of atoms in the form of a Fourier object is proposed. It is also considered what opportunities give such a representation. The prospects for the application of Fourier analysis in structural biophysics are discussed.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π€ΡΡΡΠ΅-Π°Π½Π°Π»ΠΈΠ·Π° Π² ΡΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠ΄Π° Π·Π°Π΄Π°Ρ ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ: ΡΠ°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΠΏΠ»ΠΎΡΠΊΠΈΠΌ Π²ΠΎΠ»Π½Π°ΠΌ (ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΏΠ»ΠΎΡΠΊΠΈΠ΅ Π²ΠΎΠ»Π½Ρ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡΡΡ Π² Π²ΠΈΠ΄Π΅ ΡΠ°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΡΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΡΠ½ΠΊΡΠΈΡΠΌ). ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΡ Π² ΠΏΠΎΠ»ΡΠ·Ρ ΡΡΠΎΠ³ΠΎ ΡΠ°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΡ Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΡΠ°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΡΠΌΠΈ ΠΏΠΎ ΡΡΠΏΠ΅ΡΠΏΠΎΠ·ΠΈΡΠΈΡΠΌ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΉ. ΠΠΎΠ»ΡΡΠ΅Π½ΠΎ Π±ΠΎΠ»Π΅Π΅ ΠΎΠ±ΡΠ΅Π΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΠΎΡΡΠ΅ΠΊΡΠ½ΠΎΡΡΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΡ, ΡΠ΅ΠΌ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΡΠΏΠΎΡΠΎΠ± ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π³ΡΡΠΏΠΏ Π°ΡΠΎΠΌΠΎΠ² Π² Π²ΠΈΠ΄Π΅ Π€ΡΡΡΠ΅-ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π΅Π³ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π€ΡΡΡΠ΅-Π°Π½Π°Π»ΠΈΠ·Π° Π² ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ Π±ΠΈΠΎΡΠΈΠ·ΠΈΠΊΠ΅
Glycosylation of mucins present in gastric juice: the effect of helicobacter pylori eradication treatment
It is suggested that gastric mucins, and in particular some specific glycan structures that can act as carbohydrate receptors, are involved in the interactions with Helicobacter pylori adhesins. The main aim of our study was to evaluate glycosylation pattern of glycoproteins of gastric juice before and at the end of eradication therapy. Gastric juices were taken from 13 clinical patients and subjected to analysis. Pooled fractions of the void volume obtained after gel filtration were subjected to ELISA tests. To assess the relative amounts of carbohydrate structures, lectins and monoclonal antibodies were used. Changes in the level of MUC 1 and MUC 5AC mucins and of carbohydrate structures, which are suggested to be receptors for Helicobacter pylori adhesins, were observed by the end of the eradication treatment. Our results support the idea about the involvement of MUC 5AC and MUC 1 with some specific sugar structures in the mechanism of Helicobacter pylori infection
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