109 research outputs found
sj-pdf-1-pmj-10.1177_02692163211063397 – Supplemental material for Understanding the impact of the Covid-19 pandemic on delivery of rehabilitation in specialist palliative care services: An analysis of the CovPall-Rehab survey data
No full textSupplemental material, sj-pdf-1-pmj-10.1177_02692163211063397 for Understanding the impact of the Covid-19 pandemic on delivery of rehabilitation in specialist palliative care services: An analysis of the CovPall-Rehab survey data by Joanne Bayly, Andy Bradshaw, Lucy Fettes, Muhammed Omarjee, Helena Talbot-Rice, Catherine Walshe, Katherine E Sleeman, Sabrina Bajwah, Lesley Dunleavy, Mevhibe Hocaoglu, Adejoke Oluyase, Ian Garner, Rachel L Cripps, Nancy Preston, Lorna K Fraser, Fliss EM Murtagh, Irene J Higginson and Matthew Maddocks in Palliative Medicine</p
sj-pdf-3-pmj-10.1177_02692163211063397 – Supplemental material for Understanding the impact of the Covid-19 pandemic on delivery of rehabilitation in specialist palliative care services: An analysis of the CovPall-Rehab survey data
No full textSupplemental material, sj-pdf-3-pmj-10.1177_02692163211063397 for Understanding the impact of the Covid-19 pandemic on delivery of rehabilitation in specialist palliative care services: An analysis of the CovPall-Rehab survey data by Joanne Bayly, Andy Bradshaw, Lucy Fettes, Muhammed Omarjee, Helena Talbot-Rice, Catherine Walshe, Katherine E Sleeman, Sabrina Bajwah, Lesley Dunleavy, Mevhibe Hocaoglu, Adejoke Oluyase, Ian Garner, Rachel L Cripps, Nancy Preston, Lorna K Fraser, Fliss EM Murtagh, Irene J Higginson and Matthew Maddocks in Palliative Medicine</p
sj-pdf-2-pmj-10.1177_02692163211063397 – Supplemental material for Understanding the impact of the Covid-19 pandemic on delivery of rehabilitation in specialist palliative care services: An analysis of the CovPall-Rehab survey data
No full textSupplemental material, sj-pdf-2-pmj-10.1177_02692163211063397 for Understanding the impact of the Covid-19 pandemic on delivery of rehabilitation in specialist palliative care services: An analysis of the CovPall-Rehab survey data by Joanne Bayly, Andy Bradshaw, Lucy Fettes, Muhammed Omarjee, Helena Talbot-Rice, Catherine Walshe, Katherine E Sleeman, Sabrina Bajwah, Lesley Dunleavy, Mevhibe Hocaoglu, Adejoke Oluyase, Ian Garner, Rachel L Cripps, Nancy Preston, Lorna K Fraser, Fliss EM Murtagh, Irene J Higginson and Matthew Maddocks in Palliative Medicine</p
sj-pdf-1-jrs-10.1177_01410768221077366 - Supplemental material for Experiences of staff providing specialist palliative care during COVID-19: a multiple qualitative case study
No full textSupplemental material, sj-pdf-1-jrs-10.1177_01410768221077366 for Experiences of staff providing specialist palliative care during COVID-19: a multiple qualitative case study by Andy Bradshaw, Lesley Dunleavy, Ian Garner, Nancy Preston, Sabrina Bajwah, Rachel Cripps, Lorna K Fraser, Matthew Maddocks, Mevhibe Hocaoglu, Fliss EM Murtagh, Adejoke O Oluyase, Katherine E Sleeman, Irene J Higginson and Catherine Walshe in Journal of the Royal Society of Medicine</p
Driver Classification Using K-Means Clustering of Within-Car Accelerometer Data
No full text27th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEYIn this study, driving characteristics of 13 different people on a predetermined route have been analyzed by using the driving characteristics of the drivers and the drivers are classified into 3 groups: calm, normal and aggressive. The data recorded by the acceleration meter sensor and the global positioning (GPS) receiver of a smart phone were analyzed using signal processing methods in the computer environment. Based on the connections between the data, the basic data that reveal the driving characteristics are determined. In the current phase of the study, K-means method was used as the classification method. The classification accuracy was investigated by changing the K value. For experimental data, the most accurate results were obtained as 93.3% for K = 5. This result shows that simple 3-axis accelerometers installed in the cars are sufficient for providing necessary features for classifying driving characteristics using very simple classifiers.IEEE Turkey Sect,Turkcell,Turkhavacilik Uzaysanayii,Turitak Bilgem,Gebze Teknik Univ,SAP, Detaysoft,NETAS,Havelsa
Investigation of the Effects of Cement Dust Pollution on the Environment using Biomonitor Organism
No full textThis research was carried out in the vicinity of Kant Cement Plant located in Issyk-Ata district, Cuy region of
Kyrgyzstan. Kant Cement Plant produces approximately 600,000-700,000 tonnes of cement per year. Because of the
cement production, a large amount of cement dust release containing some heavy metals and other toxic substances
occurs in the nearby environment. The aim of our research was to investigate the negative effects of the cement dust
spreading around on living organisms. In this research, the reed plant (Phragmites australis L.) was used as a study
material to determine the rate pollution observed nearby Kant via the detection of heavy metal and nutrient element
contents (Al, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb and Zn) of the collected plant and co-located soil samples
using ICP-OES. Also, the total chlorophyll contents in the leaves of the plant samples was measured using CCM-200
plus (Opti-Sciences). The lowest and highest heavy metal and mineral element contents of the plant samples (in mg kg1
) were found to be as: 119.30 (in stems) and 3908.11 (in roots) for Al in stations 9 and 6; 12.52 (in stems) and 47.88 (in
unwashed leaves) for B in control (1) and station 6; 3432.38 (in stems) and 10120.64 (in roots) for Ca in control (1) and
station 6; 125.95 (in washed leaves) and 87.38 (in stems) for Cd in control (1) and station 6; 6.74 (in stems) and 24.56
(in roots) for Cr in control (1) and station 6; 3.92 (in stems) and 28.13 (in unwashed leaves) for Cu in control (1) and
station 6; 303.82 (in stems) and 1100.86 (in unwashed leaves) for Fe in control (1) and station 6; 5334.55 (in stems) and
23789.68 (in unwashed leaves) for K in control (1) and station 6; 692.44 (in stems) and 3352.71 (in unwashed leaves)
for Mg in control (1) and station 6; 33.94 (in stems) and 391.22 (in roots) for Mn in control (1) and station 6; 162.30 (in
stems) and 709.03 (in unwashed leaves) for Na in control (1) and station 6; 3.5 (in stems) and 19.61 (in roots) for Ni in
control (1) and station 6; 2.25 (in stems) and 20.41 (in unwashed leaves) for Pb in control (1) and station 6; and 35.94
(in stems) and 147.65 (in roots) for Zn in control (1) and station 6, respectively. The lowest and highest heavy metal and
mineral element contents of the soil samples (in mg kg-1
) were found to be as: 30034.07 and 38334.45 for Al in stations
9 and 6; 39.61 and 80.32 for B in control (1) and station 6; 11832.33 and 23922.33 for Ca in control (1) and station 6;
165.38 and 1457.8 for Cd in control (1) and station 6; 20.79 and 42.29 for Cr in control (1) and station 6; 14.8 and 45.84
for Cu in control (1) and station 6; 17390.18 and 35158.99 for Fe in control (1) and station 6; 10230.83 and 20684.6 for
K in control (1) and station 6; 4356.34 and 8807.68 for Mg in control (1) and station 6; 598.38 and 1210.04 for Mn in
control (1) and station 6; 1163.76 and 2353.09 for Na in control (1) and station 6; 27.68 and 56.16 for Ni in control (1)
and station 6; 18.47 and 77.94 for Pb in control (1) and station 6; and 136.29 and 275.73 for Zn in control (1) and station
6, respectively. When the results obtained from our work were compared with the controls, it showed that the Cement
plant in Kant cause pollution in nearby environment by the way of releasing heavy metals including Cd, Cr, Pb and Ni
(partially). Kyrgyzstan is a country recently showing an increasing growth trend. As a result of high rate of urbanization
following of economic and industrial development, Kyrgyzstan encounters with the problems related with pollution.
From our work, the recommendation to the local authorities to take necessary precautions before the pollution reaching
dangerous levels. By our work, the recommendation would be to the local authorities to take necessary precautions
before the pollution reaching dangerous levels.
Keywords: Phragmites australis, Biomonitoring, Heavy Metal Pollution, Cement Dust, Kan
Analysis of Mineral Nutrition Status and Heavy Metal Contents in Selected Medical Plants used tn Traditional Treatments in Kyrgystan
No full textAs the rest of the world, Kyrgyzstan suffers from the pollution in recent years as a result of urbanization following of
economic and industrial development along with population growth. The negative effects of the pollution on organisms
are observed all over the world. This is especially important for the plants consumed as food or medicinal purposes.
Although the researches in many countries have been done on heavy metal pollution as well as on mineral nutrition
statuses of herbs, similar researches performed in Kyrgyzstan have been limited. For this reason, this research comprising
of elemental analysis of 90 different plant species used in three different Kyrgyz bazaars, namely Osh, Ortosai and
Alamedin has been conducted in order to make estimation on the rate of pollution and the effects of pollution. One of the
most important steps in inductively coupled plasma optical emission spectroscopy (ICP-OES) technology is sample
preparation. For the parts of the each plant sample, 8 mL of 65% HNO3 was used using Teflon cell. The prepared
samples were thawed in a Berghof –MSW2 microwave. The concentrations (in mg kg-1
) of Al, B, Ca, Cd, Cr, Cu, Fe, K,
Mg, Mn, Na, Ni, Pb, and Zn in the dried samples have been determined by employing ICP- OES (PerkinElmer - Optima
7000DV). Although, the heavy metals determined in the medicinal plants have been found to be within the normal
ranges, the allowable limits for some elements have been exceed. As observed: Al and Cu contents in Aconitum
soongaricum, Urtica dioica and Eminium regelli; Cu and Fe contents in Antennaria dioica and Pastinaca sp.; Al and Fe
contents in Cetraria islandica, Helianthus annuus, Chelidonium sp., Cichorium sp., Origanum vulgare, Ferula sp.,
Spongilla sp., Taraxacum sp. and Veronica sp.; Cd and Cu contents in Lemna sp. and Ferula sp.; Al, Cd and Fe contents
in Salvia sclarea; Al, Cu and Fe contents in Viola sp. and Centaurea sp.; Al, Cd, Cu and Fe contents in Helichrysum
arenarium; Al, Cu, Mn and Ni contents in Mentha piperita; and Al, Cu, Fe and Ni contents in Calendula sp. were found to
be higher than normal limits. On the other hand, Cr and Pb contents were in acceptable ranges in all plants used. Heavy
metals found in medicinal plants through food chain cause serious health problems in human. Therefore, safe and high
quality consumption of herbs can be only provided by conducting comprehensive analyzes during the production
processes of herbal goods. Medicinal plants contain important essential elements involved in metabolic processes;
however, containing high concentrations of these elements also lead to medical problems. Hence, it is of great importance
to determine the accumulation rates of minerals in medicinal plants. Finally, identification of possible contamination
factors in the food chain (from the field to humans) is important to take the necessary precautions for the safe production.
Keywords: Bishkek, Ethnobotany, Heavy metals, Medicinal plants, Nutrient element
Real-Time MRI of Continent and Stress Incontinent Male Patients after Orthotopic Ileal Neobladder
No full textIntroduction: The aim of this study was to correlate anatomic differences with continence status in male patients after cystoprostatectomy and ileal neobladder using real-time magnetic resonance imaging. Patients and Methods: Anatomic differences of 14 male patients (7 daytime continent and 7 stress incontinent) with ileal neobladder were determined by measuring the orthogonal distance of the bladder neck to the pubococcygeal line (PCL) to correlate anatomic differences with continence status. Results: The median distance of the bladder neck to PCL was +5.4 mm in continent patients before voiding whereas in incontinent patients it was +2 mm (p = 0.012). During the Valsalva maneuver, the median distance in continent patients was +4 and in incontinent patients -3 mm (p = 0.003). At the end of micturition, the median distance was +2.3 mm in continent patients and -12 mm in incontinent patients (p = 0.002). Conclusions: The bladder neck in incontinent patients showed more pronounced mobility in relation to the PCL during micturition and the Valsalva maneuver as compared to continent patients. In addition, the ileal neobladder was positioned significantly lower in the pelvis of incontinent patients. These preliminary results suggest that a stable bladder neck may be an important factor to reach full continence in patients with ileal neobladder. Copyright (C) 2011 S. Karger AG, Base
Emission and in-cylinder combustion characteristics of a spark ignition engine operated on binary mixtures of gas and liquid fuels
No full textIn this study, three different gas fuels such as hydrogen, propane, methane and six different liquid fuels such as, benzene, gasoline, toluene, hexane, methanol and ethanol have been combined and combustion characteristics have been simulated for a spark ignition engine (SIE). Variation of in-cylinder temperature, in-cylinder pressure, CO, CO2 and NO has been investigated. The gas fuel ratios in the mixtures were changed between 0 and 100% by mass. It was investigated that how the addition of gaseous fuels to liquid fuels at different ratios affects the combustion characteristics and emission formation. The gas fuel ratios considerably affected emission and combustion specifications of the engine. Increasing liquefied gas fuel ratio in the mixture leads to decrement in the temperature of charge. The maximum pressure first increases with increasing gas fuel ratio and then start to minimize after maximum pressure. The maximum peak pressure values are observed at 50% gasoline and 50% methane, 75% gasoline and 25% propane, 50% gasoline-50% hydrogen as 48.1 bar, 46 bar and 62.4 bar for different gas fuel mixtures. The minimum peak pressure value is displayed at 100% methanol as 44.06 bar. The maximum temperature value is observed at 100% benzene as 2582 K and its minimum value seems at 100% hydrogen as 2059 K. The maximum mass fractions of CO, CO2, NO are observed at 100% benzene as 0.0271, 0.161, 0.0076, the minimum mass fraction of CO2 is observed at 100% methane as 0.095. The minimum mass fraction of CO is observed at 100% methanol as 0.01243. The minimum mass fraction of NO is observed at 100% hydrogen as 0.00085. The fuels are ranked using a multi-criteria decision-making algorithm called AHP after evaluating the values of all performance criteria and their respective sub-criteria, including in-cylinder pressure, in-cylinder temperature, NO, CO2 and CO to get preference rank between fuels
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