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Scheduling a visit using the Booksy application
Osiągnięcie upragnionego sukcesu przez każdego przedsiębiorcę jest możliwe
dzięki wykorzystaniu podstawowych funkcji zarządzania, którymi są: planowanie,
organizowanie, koordynowanie i motywowanie. W dzisiejszych czasach, mimo
rosnących wymagań klientów i pracowników, pomocne może okazać się wykorzystanie
nie tylko nowych technologii, rozumianych jako nowoczesne maszyny
na liniach produkcyjnych czy urządzenia do wykonywania zabiegów, ale także
aplikacje mobilne dostępne na smartfonach. Aplikacje mobilne nie muszą służyć
wyłącznie rozrywce – obecnie coraz więcej małych, średnich i dużych przedsiębiorstw
korzysta z nich w celu ułatwienia sobie pracy i budowania relacji
z klientami. Tworzenie własnej aplikacji często wiąże się z niską wydajnością
oraz bardzo wysokimi kosztami, na które nie mogą sobie pozwolić
przedsiębiorstwa z sektora MŚP. Najczęstszą wadą takiej aplikacji jest również
brak integracji z innymi systemami, co obecnie daje przewagę konkurencyjną.
Na rynku aplikacji mobilnych istnieje wiele rodzajów oprogramowania, które
można wykorzystać w abonamencie pozwalającym na modyfikację danego
programu do wymaganych preferencji firmy. Aplikacje mobilne stają się
podstawowym narzędziem ułatwiającym nie tylko zarządzanie biznesem, ale
także zarządzanie relacjami z klientami.Achieving the desired success by each entrepreneur is possible thanks to the
use of basic management functions, which are: planning, organizing, coordinating
and motivating. Nowadays, despite the increasing requirements of customers and
employees, it may be helpful to use not only new technologies understood as modern
machines on production lines, devices for performing treatments, but also
mobile applications available for smartphones that we all use. Mobile applications
do not have to be used only for entertainment purposes, nowadays more and more
small, medium and large enterprises use mobile applications to facilitate their work
and create relationships with customers. Creating your own application is often
associated with very high costs, which cannot be afforded by enterprises from the
SME sector, and low efficiency. The most common disadvantage of such an application
is also the lack of integration with other systems, which now gives
a competitive advantage. There are many types of software on the mobile application
market that can be used for a subscription that allows you to modify
a given program to the required preferences of the company. Mobile applications
are becoming the basic tool that facilitates not only business management, but also
customer relationship managemen
RNN-based Phase Unwrapping for Enabling Vital Parameter Monitoring with FMCW Radars
Application of radar technology enables remote breathing and
heart rate monitoring by analyzing motion waveforms, which are reconstructed
from phase signals extracted from radar-delivered data. However,
nonlinear deformations introduced by phase recovery procedure make accurate
motion reconstruction highly challenging, especially for millimeter-long
waves that are commonly generated by state-of-the-art radar devices. In the
presented paper we show that a GRU-based neural predictor is capable of
correct phase unwrapping under presence of noise (originating e.g. from
random subject’s movements), enabling vital parameter monitoring in realistic
scenarios, which cannot be accomplished using standard approaches
Differences of breakfast Spatial Distribution in Real and Virtual Space: An empirical study in the central city of Beijing
The breakfast service is an important part of local vitality which are traditionally provided by restaurants and street vendors in real space. The booming virtual economy and delivery service provide alternative type. With the outbreak of COVID-19, both the temporary lock-down of many streets and the reduction of travelling have great impact on breakfast service at the beginning of 2020. During this epidemic period, what kind of breakfast service suffers more, if the location matters, these became interesting questions. This paper presents a comparative study on the central city area of Beijing before and after the impact of Covid19. Based on two site surveys in 2019 July and 2020 September, over 3000 breakfast service are mapped in 6 categories in real space. Cell phone data of 2018 and 2020 are also used to provide other factors such as employment/residential densities and distances of commuting. Additionally, social media data of breakfast distribution from Dazhongdianping.com are collected to study how service in real and virtual space overlap. In general, it can be found that the space with dominant accessibility has stronger resilience. Breakfast services in an advantageous position are more likely to expand new opportunities through the network platform in virtual space
Research on the resilience assessment method of urban form based on‘resolution’
In his seminal work, Conzen recognized that the evolution of different morphological types of towns has different persistence, which reflects a certain resilience characteristic of the physical environment in response to the pressure of change. With the continuous progress of urban resilience research, scholars begin to combine typo-morphology theory with resilience theory. On the one hand, the typo-morphology method has great potential in assessing urban form resilience. On the other hand, there is a need to combine typo-morphological methods and resilience assessment to promote urban form practice. Based on the concept of ‘resolution’, this paper discusses the methodology of urban form resilience assessment. Firstly, it discusses the operability of urban resilience and the development of the concept of urban form resilience. Besides, combined with the current research works on urban form resilience, it proposes the construction of the ‘resilience assessment unit’ and its four levels: plot combination unit, block unit, urban area and urban unit are expounded, including Spatial characteristics and assessment contents
Kompozyty elastomerowe modyfikowane funkcjonalnymi dodatkami pochodzenia naturalnego
Źródło BIP: (https://politechnikalodzka.bip.gov.pl/dyscyplina-nauki-chemiczne-dr-hab/277853_dyscyplina-nauki-chemiczne.html
Multi-task Learning for Classification, Segmentation, Reconstruction, and Detection on Chest CT Scans
Lung cancer and COVID-19 have one of the highest morbidity
and mortality rates in the world. For physicians, the identification of lesions
is difficult in the early stages of the disease and time-consuming. Therefore,
multi-task learning is an approach to extracting important features, such as
lesions, from small amounts of medical data because it learns to generalize
better. We propose a novel multi-task framework for classification, segmentation,
reconstruction, and detection. To the best of our knowledge, we are
the first ones who added detection to the multi-task solution. Additionally,
we checked the possibility of using two different backbones and different loss
functions in the segmentation task