Coverage based empirical modelling for EMS rescue system of Karachi (Pakistan)

Hitne slučajeve uglavnom rješava služba hitne pomoći (EMS). U većini se slučajeva radi o jednom pacijentu. Osnovni sustavi nisu u stanju reagirati kod hitnih slučajeva s više unesrećenih. EMS je u zadnje dvije godine morao prilagoditi svoje planove takvim slučajevima zbog sve većeg broja nesreća i terorističkih napada. Ali takvi bi se planovi mogli osujetiti smanjenim proračunom i izvorima financiranja, a i brojem ambulantnih kola i njihovim položajem/lokacijom, te strategijom njihova slanja, što sve utječe na EMS. Dodatni faktor je promjenljivost u broju slobodnih ambulantnih kola u različito vrijeme tijekom dana. U svrhu održavanja pokrivenosti potrebno je pripaziti i da su ambulantna kola uvijek u stanju pripravnosti. U radu predlažemo model optimalizacije u EMS-u koji će pomoći kod medicinskih postupaka u regiji Karachi, Pakistan (uporabom podataka iz dvije godine, 2010. i 2011.). Također smo proveli i empirijsku analizu vremena reagiranja ambulantnih kola, njihovo vrijeme dolaska u bolnicu i vrijeme provedeno u bolnici. Korištene su Google mape kako bi se olakšalo praćenje i analiziranje mjesta nesreće uz pomoć GPSa ili nekog drugog izvora informacija. Fizikalna simulacija i rezultati su korišteni kao dio procesa planiranja što pokazuje integritet i učinkovitost vremenske granice temeljene na hitnosti pacijenta u vrijeme poziva (Spasilačka ekipa 15).Emergency Medical Services (EMS) is a major source of handling emergencies. Most of the emergencies have one patient. The routine systems are not able to respond to emergencies in which there are many casualties. The mass-casualty disaster response and EMS services plans have become more popular in case of ordinary disasters and terrorist attacks over the past decades. But it might not be possible to construct such plans due to limited resources and budget. There may be such more factors including the number of ambulances deployed, their position/location, and dispatching strategies that affect the EMS system. One more factor is the variation in number of vacant ambulances at different time of the day. In order to sustain coverage, it is necessary to locate ambulances at the station in functional states. In this paper we proposed an optimization model dealing with EMS to assist the medical treatment in the region of Karachi, Pakistan (by using two years data from the year 2010 to 2011). We also conducted and estimated an empirical analysis of ambulance response times, travel times to a hospital and the time spent at the hospital. Google maps are used to facilitate EMS’s provider to view and analyse the entire scene of the accident with the help of GPS or other sources of information. Physical simulation and results are used as part of the planning process, which shows the integrity and efficiency of the time threshold based on the acuity of the patient at the time when the 15 call is made (Rescue 15)

Unveiling hidden stellar aggregates in the Milky Way: 1656 new star clusters found in Gaia EDR3

We report 1,656 new star clusters found in the Galactic disk (|b|<20 degrees) beyond 1.2 kpc, using Gaia EDR3 data. Based on an unsupervised machine learning algorithm, DBSCAN, and followed our previous studies, we utilized a unique method to do the data preparation and obtained the clustering coefficients, which proved to be an effective way to search blindly for star clusters. We tabulated the physical parameters and member stars of the new clusters, and presented some interesting examples, including a globular cluster candidate. The cluster parameters and member stars are available at CDS via anonymous ftp to https://cdsarc.cds.unistra.fr/ftp/vizier.submit//he22c. We examined the new discoveries and discussed their statistical properties. The proper motion dispersions and radii of the new clusters were the same as the previously reported ones. The new star clusters beyond 1.2 kpc were older than those in the solar neighborhood, and the new objects found in the third Galactic quadrant presented the lowest line-of-sight extinctions. Combined with our previous results, the total population of new clusters detected through our method was 2,541, corresponding to 55% of all newly published clusters in the Gaia era. The number of cataloged Gaia star clusters was also increased to nearly six thousand. In the near future, it is necessary to make a unified confirmation and member star determination for all reported clusters.Comment: 16 pages, 11 figures, 3 tables with full clusters/members data link in CDS, accepted for publication in ApJ

RTA Analysis & Existing Modelling for Emergency Medical Service

Prevention of accidents is extremely difficult in absence of present situation analysis, as the aim to identify the incident locations and safety deficiency area is the key to work out the effective solution. To access the feasibility of using Geographic Information System (GIS) for mapping of incident locations with an existing data source is vital to estimate variation of RTAs (Road Traffic Accidents) pattern by interpolating. Generally, accident particulars like location, date, time, sex and suspect are included in GIS database. Here, Arc GIS (10.2.1) software is applied to identify incident locations in Karachi district. To reduce the accidents in particular area/study area and in order to sustain coverage for emergency response, there may be such more factors including the number of ambulances deployed, their position/location, and dispatching strategies that affect the EMS system, authors strictly recommended covering based probabilistic model for (Rescue-15) solving the problem of ambulance locations. GIS facilitates the respective authority to do assessment and to analyze the entire position of the accident with the help of GPS or additional sources of information while consequences are utilized as part of the preparation progression is based on the acuity of the patient in time

The risk factors and impact of subchorionic hematoma in the first trimester in IVF twin pregnancies: a prospective cohort study

ObjectiveThis study aimed to identify the risk factors for subchorionic hematoma (SCH) in the first trimester of in vitro fertilization (IVF) twin pregnancies and investigate the impact of SCH on pregnancy outcomes.Study designA prospective cohort study was conducted at Chengdu Women and Children's Central Hospital. The study recruited patients who were identified with twin pregnancies in the first trimester, undergoing IVF treatment from January 2020 to May 2021. The demographic characteristics and pregnancy outcomes were compared between the SCH and the non-SCH groups. A logistic regression analysis was used to determine the risk factors for SCH and adverse pregnancy outcomes.ResultsIn the first trimester, 38% of patients developed SCH. The independent risk factors for SCH included male factor, hydrosalpinx, polycystic ovary syndrome (PCOS), previous miscarriage, and adenomyosis. With respect to the pregnancy outcomes, only the rate of twin pregnancy loss before 20 gestational weeks was significantly higher in the SCH group than in the non-SCH group. After adjusting for the confounding factors, the presence of SCH diminished the ovarian reserve, and previous miscarriage was independently related to twin pregnancy loss before 20 gestational weeks.ConclusionThis may be the first study to evaluate the risk factors of SCH in twin pregnancies who underwent IVF-ET/FET treatment, which may provide some theoretical basis for clinical practice in the future. Furthermore, it was found that the occurrence of SCH was associated with the loss of both pregnancies before 20 gestational weeks. Therefore, these patients should be offered increased surveillance and timely treatment