5 research outputs found
Real ECAPs produced by three stimulation currents.
No full textThis figure shows the resulting ECAPs, provided by Custom Sound Evoke Potentials software from Cochlear, after the following stimulation currents: I1 = 0.41 mA (green line), I2 = 0.65 mA (orange line) and I3 = 1.02 mA (blue line).</p
PENINGKATAN HASIL BELAJAR GULING BELAKANG MELALUI PENDEKATAN PAKEM PADA SISWA KELAS V SD NEGERI MINOMARTANI 1KECAMATAN NGAGLIK KABUPATEN SLEMAN
No full textPenelitian ini dilatarbelakangi atas rendahnya hasil belajar guling belakang
siswa yang mempunyai nilai dibawah Kriteria Ketuntasan Minimal ( KKM ) yaitu
7,00. Penelitian ini bertujuan untuk meningkatkan hasil belajar guling belakang
melalui pendekatan PAKEM pada siswa kelas V di SD Negeri Minomartani 1
Kecamatan Ngaglik Kabupaten Sleman.
Penelitian ini dilaksanakan di SD Negeri Minomartani 1. penelitian ini
adalah penelitian tindakan kelas dengan menggunakan pendekatan pembelajaran
PAKEM sebagai upaya meningkatkan hasil belajar guling belakang.. Subyek
penelitian ini adalah seluruh siswa kelas V SD Negeri Minomartani 1 yang
berjumlah 21 siswa terdiri dari 9 siswa laki-laki dan 12 siswa perempuan.. Teknik
pengumpulan data dalam penelitian ini adalah observasi, angket, dan tes hasil
belajar. Teknik analisis data dalam penelitian ini menggunakan analisis diskriptif
kuantitatif dan kualitatif
Hasil penelitian, menunjukkan nilai rata-rata kelas sebelum tindakan atau
tes awal sebesar 62,6 atau 33%, meningkat pada siklus I sebesar 69,8 atau 71%
dan bertambah pada siklus II sebesar 75,5 atau 100%. Nilai tersebut diatas telah
memenuhi standar nilai diatas Kriteria Ketuntasan Minimal (KKM) yaitu 7,00.
Dengan demikian dapat disimpulkan bahwa peningkatan hasil belajar siswa pada
materi guling belakang melalui pendekatan PAKEM pada siswa kelas V SD
negeri Minomartani 1 Kecamatan Ngaglik ,Kabupaten Sleman dapat meningkat
Density dependence and the control of helminth parasites.
No full text1. The transient dynamics and stability of a population are determined by the interplay between species density, its spatial distribution and the positive and negative density-dependent processes regulating population growth. 2. Using the human-helminth parasite system as an example, we propose that the life-stage upon which negative density dependence operates will influence the rate of host reinfection following anthelmintic chemotherapy, and the likely success of control programmes. 3. Simple deterministic models are developed which highlight how a parasite species whose population size is down-regulated by density-dependent establishment will reinfect a host population at a faster rate than a species with density-dependent parasite fecundity. 4. Different forms of density dependence can produce the same equilibrium behaviour but different transient dynamics. Under-representing the nature and magnitude of density-dependent mechanisms, and in particular those operating upon establishing life-stages, may cause the resilience of the parasite population to a control perturbation to be underestimated
Validation of the OAKS prognostic model for acute kidney injury after gastrointestinal surgery
No full textAbstractBackgroundPostoperative acute kidney injury (AKI) is a common complication of major gastrointestinal surgery with an impact on short- and long-term survival. No validated system for risk stratification exists for this patient group. This study aimed to validate externally a prognostic model for AKI after major gastrointestinal surgery in two multicentre cohort studies.MethodsThe Outcomes After Kidney injury in Surgery (OAKS) prognostic model was developed to predict risk of AKI in the 7 days after surgery using six routine datapoints (age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker). Validation was performed within two independent cohorts: a prospective multicentre, international study (‘IMAGINE’) of patients undergoing elective colorectal surgery (2018); and a retrospective regional cohort study (‘Tayside’) in major abdominal surgery (2011–2015). Multivariable logistic regression was used to predict risk of AKI, with multiple imputation used to account for data missing at random. Prognostic accuracy was assessed for patients at high risk (greater than 20 per cent) of postoperative AKI.ResultsIn the validation cohorts, 12.9 per cent of patients (661 of 5106) in IMAGINE and 14.7 per cent (106 of 719 patients) in Tayside developed 7-day postoperative AKI. Using the OAKS model, 558 patients (9.6 per cent) were classified as high risk. Less than 10 per cent of patients classified as low-risk developed AKI in either cohort (negative predictive value greater than 0.9). Upon external validation, the OAKS model retained an area under the receiver operating characteristic (AUC) curve of range 0.655–0.681 (Tayside 95 per cent c.i. 0.596 to 0.714; IMAGINE 95 per cent c.i. 0.659 to 0.703), sensitivity values range 0.323–0.352 (IMAGINE 95 per cent c.i. 0.281 to 0.368; Tayside 95 per cent c.i. 0.253 to 0.461), and specificity range 0.881–0.890 (Tayside 95 per cent c.i. 0.853 to 0.905; IMAGINE 95 per cent c.i. 0.881 to 0.899).ConclusionThe OAKS prognostic model can identify patients who are not at high risk of postoperative AKI after gastrointestinal surgery with high specificity.Presented to Association of Surgeons in Training (ASiT) International Conference 2018 (Edinburgh, UK), European Society of Coloproctology (ESCP) International Conference 2018 (Nice, France), SARS (Society of Academic and Research Surgery) 2020 (Virtual, UK)
