Search results for "COV"

Fighting Antibiotic Resistance: New Pyrimidine-Clubbed Benzimidazole Derivatives as Potential DHFR Inhibitors

2023

The present work describes the design and development of seventeen pyrimidine-clubbed benzimidazole derivatives as potential dihydrofolate reductase (DHFR) inhibitors. These compounds were filtered by using ADMET, drug-likeness characteristics calculations, and molecular docking experiments. Compounds 27, 29, 30, 33, 37, 38, and 41 were chosen for the synthesis based on the results of the in silico screening. Each of the synthesized compounds was tested for its in vitro antibacterial and antifungal activities using a variety of strains. All the compounds showed antibacterial properties against Gram-positive bacteria (Staphylococcus aureus and Staphylococcus pyogenes) as well as Gram-negativ…

Pankin pääomarakenne ja varainhankinta nykyisessä ja tulevassa pankkisääntelyssä

2017

Tämä tutkielma kokoaa yhteen pankkeja nykyisin velvoittavat pääomien määrään ja maksuvalmiuteen sekä rahoitukseen liittyvät sääntelyt. Tutkielman tavoitteena on saada vastaus kysymykseen: Miten pankin tulee huomioida pankkisääntely pääoman ja varainhankinnan rakenteessaan? Tutkielman alussa esitellään pankkitoimintaa yleisesti ja siihen liittyviä optimointiongelmia. Pankkien kannalta optimaalinen pääomarakenne poikkeaa sosiaalisesti optimaalisesta ja tätä varten pankkisääntelyä tarvitaan. Optimaalisimman tason määrittely on haastavaa, mutta sen on arvioitu olevan 15-20 % tasolla. Pääomarakenteella on vaikutusta pankin tuottavuuteen ja menestymisen mahdollisuuksiin. Pankkeja voidaan säännell…

Intrusion detection applications using knowledge discovery and data mining

2014

Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation

2023

Smart manufacturing uses emerging deep learning models, and particularly Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), for different industrial diagnostics tasks, e.g., classification, detection, recognition, prediction, synthetic data generation, security, etc., on the basis of image data. In spite of being efficient for these objectives, the majority of current deep learning models lack interpretability and explainability. They can discover features hidden within input data together with their mutual co-occurrence. However, they are weak at discovering and making explicit hidden causalities between the features, which could be the reason behind the parti…

Persuasive elements in communication of Ministry of Health and Health minister on social media platforms "Facebook", "Twitter" and "Instagram" about …

2022

Bakalaura darba "Pārliecināšanas elementi Veselības ministrijas un veselības ministra komunikācijā par vakcināciju sociālo mediju platformās ''Facebook'', ''Twitter'' un ''Instagram'' (2021.gada jūlijs - oktobris)'' mērķis ir analizēt Veselības ministrijas un veselības ministra Daniela Pavļuta komunikāciju par vakcināciju sociālo mediju platformās Facebook, Twitter un Instagram, izmantojot Informācijas apstrādes varbūtības modeli (ELM). Darba teorētiskajā daļā apskatīta politiskās komunikācijas, sociālo mediju, pārliecināšanas komunikācijas un veselības komunikācijas jēdzieni. Metodoloģiskajā daļā apskatīta daļēji strukturētā intervija, kontentanalīze un anketēšanas metode. Rezultātā ir nos…

Personal Social Networks of Community-Dwelling Oldest Old During the Covid-19 Pandemic—A Qualitative Study

2021

The COVID-19 pandemic and its related restrictions have affected the everyday life of older people. Advanced age is a significant predisposing factor for a more severe COVID-19 infection, increasing the risk for hospitalization and mortality. Even though restrictions have been, thus, well-grounded, they may also have had detrimental effects on the social well-being of older people. Personal networks and social activity are known protective factors against the premature decline in health and functioning, and it is widely acknowledged that social isolation increases feelings of loneliness, poor quality of life, and even the risk for diseases and disabilities among older adults. This qualitati…

Assessment of the importance of physical activity and quality of life for patients diagnosed with osteoporosis during the COVID-19 pandemic

2021

Introduction. Osteoporosis is one of the most important ten diseases worldwide, still causing extreme suffering to patients and huge costs to the health system. The rapid increase of the population 's aging was involved in many aspects of human health, and, among these ones, osteoporosis was one of the main public health issues. The aim of the study was to assess the importance of physical activity and the quality of life in patients diagnosed with osteoporosis during the COVID-19 pandemic. Material and methods. The study is longitudinal, it was conducted in an outpatient setting for a period of 1 year and it included 20 patients diagnosed with osteoporosis. The demographic variables (age, …

Hédonisme et durabilité des comportements alimentaires : que nous apprend le confinement ?

2020

National audience

1,2,4-OSSADIAZOLI: UTILI SCAFFOLD NEL DESIGN DI NUOVI FARMACI

2021

Molecular Mechanisms of the Blockage of Glioblastoma Motility

2021

Glioblastoma (GBM) is the most common and lethal brain tumor. GBM has a remarkable degree of motility and is able to infiltrate the healthy brain. In order to perform a rationale-based drug-repositioning study, we have used known inhibitors of two small Rho GTPases, Rac1 and Cdc42, which are upregulated in GBM and are involved in the signaling processes underlying the orchestration of the cytoskeleton and cellular motility. The selected inhibitors (R-ketorolac and ML141 for Cdc42 and R-ketorolac and EHT 1864 for Rac1) have been successfully employed to reduce the infiltration propensity of GBM in live cell imaging studies. Complementarily, all-atom simulations have elucidated the molecular …