KOMPOSISI MEDIA PAKAN TERBAIK MENGGUNAKAN DAUN PISANG KEPOK (Musa acuminata balbisiana), KANGKUNG DARAT (Ipomea reptans) DAN DAUN PEPAYA CALIFORNIA (Carica papaya L) TERHADAP PERTUMBUHAN JANGKRIK KALUNG (Gryllus bimaculatus)

Komposisi media pakan menggunakan daun pisang kapok (Musa acuminata balbisiana), kangkung darat (Ipomea reptans) dan daun pepaya california (Carica papaya L) adalah media pakan yang dapat mempengaruhi pertumbuhan jangkrik kalung (Gryllus bimaculatus). Tujuan penelitian ini untuk mengetahui media pakan mana yang terbaik dari ketiga jenis daun-daunan tersebut untuk pertumbuhan jangkrik kalung (Grillus bimaculatus). Penelitian ini merupakan penelitian sains dan terapan dengan menggunakan desain Rancangan Acak Lengkap (RAL). Menggunakan perlakuan yang berbeda-beda p0 (voor b11k sebagai control), p1 (voor b11k dan daun pisang kepok), p2 (voor b11k dan daun kangkung darat), p3 (voor b11k dan daun papaya california), p4 (voor b11k,daun pisang, daun kangkung dan daun pepaya). Tiap perlakuan memiliki 3 kali ulangan, total jangkrik ada 15 ekor. Data yang diperoleh dari penelitian kemudian dianalisis menggunakan Analisis of Variansi (ANOVA). Tempat pelaksanaan penelitian ini dilakukan di Sengeti, Muaro Jambi dengan waktu 30 hari. Hasil penelitian menunjukkan bahwa rata-rata pertumbuhan jangkrik paling baik pada perlakuan p1 (voor b11k dan daun pisang kepok). Hasil Anova bahwa pemberian komposisi media pakan daun-daunan memberkan pengaruh yang signifikan terhadap pertumbuhan jangkrik kalung pada perlakuan p1. Penelitian selanjutnya disarankan menggunakan pemberian aneka pakan daun-daunan yang lain untuk melihat pertumbuhan pada jangkrik kalung (Gryllus bimaculatus)

致死型軟骨無形成症の組織異常と細胞内シグナリング : 小胞体からのアポトーシスシグナルの可能性

departmental bulletin pape

Trends in Inversion Barriers of Group 15 Compounds. 3. Are Fluorinated Pyridone Derivatives Planar or Nonplanar?

Fluorinated compounds of 4-pyridone are studied using the semiempirical PM3 method, and the ab initio HF and MP2 methods. The perfluorinated derivative of 4-pyridone is predicted to have a nonplanar ring structure with the fluorine ligand at the nitrogen atom lying above the pyridine ring. The inversion barrier for the pentafluoro-4-pyridone is predicted to be 26 kJ/mol similar to that found for NH3. This distortion corresponds to a static second-order Jahn−Teller effect and is expected to be experimentally detectable at low temperatures. N-Fluoro-4-pyridone is predicted to be nonplanar and has a small inversion barrier of 0.2 kJ/mol at the MP2 level. However, the maximum point of this barrier lies below the lowest zero-point out-of-plane inversion vibrational mode (1/2 84 cm-1 ≡ 0.5 kJ/mol). This corresponds to a dynamic Jahn−Teller effect and thus is experimentally difficult to verify. The MP2 calculations indicate that at least one fluorine atom is required at the ring nitrogen in order to achieve nonplanarity. Schleyer's negative-independent chemical shift method (NICS) is applied, and the results are used to discuss aromaticity in fluorinated pyridones. The NICS values show that succesive fluorination increases aromaticity. The vibrational spectra of all fluorinated pyridone derivatives are predicted. The vibrational spectrum of 4-pyridone is discussed in detail using a normal-mode analysis defined within a set of nonredundant internal coordinates

Root mean squared error (RMSE) values for the models M1–M12.

Root mean squared error (RMSE) values for the models M1–M12.</p

Comparison of our derived PK model with a published one- and two-compartment model.

Comparison of our derived PK model with a published one- and two-compartment model.</p

Schematic model from which all mathematical models were derived.

We assumed clustering of cells and cytarabine (Ara-C) concentrations in compartments with identical properties. White blood cell (WBC) differentiation is represented by a proliferating compartment xpr, a number ntr of transit compartments xtr with different levels of maturation, and a compartment xma with mature, circulating WBCs. Cells mature with a maturation rate G. Mature cells xma die by apoptosis with a death rate of kma. The pharmacodynamic effect of Ara-C is described as a log-linear function E targeting the proliferating cells in the bone marrow. It depends on the concentration x1 of Ara-C in an assumed central compartment including the circulating blood. The proliferation rate F of xpr models the replication speed of proliferating progenitor cells. Modelling assumptions were incorporated by choosing different functions F and G (compare Table 1). The estimated model parameters used for personalisation were B, slope, ktr, γ, and initial conditions.</p

Overview of all investigated mathematical models M1–M12.

Overview of all investigated mathematical models M1–M12.</p

Presentation_1_Optimized and Personalized Phlebotomy Schedules for Patients Suffering From Polycythemia Vera.zip

Polycythemia vera (PV) is a slow-growing type of blood cancer, where the production of red blood cells (RBCs) increase considerably. The principal treatment for targeting the symptoms of PV is bloodletting (phlebotomy) at regular intervals based on data derived from blood counts and physician assessments based on experience. Model-based decision support can help to identify optimal and individualized phlebotomy schedules to improve the treatment success and reduce the number of phlebotomies and thus negative side effects of the therapy. We present an extension of a simple compartment model of the production of RBCs in adults to capture patients suffering from PV. We analyze the model's properties to show the plausibility of its assumptions. We complement this with numerical results using exemplary PV patient data. The model is then used to simulate the dynamics of the disease and to compute optimal treatment plans. We discuss heuristics and solution approaches for different settings, which include constraints arising in real-world applications, where the scheduling of phlebotomies depends on appointments between patients and treating physicians. We expect that this research can support personalized clinical decisions in cases of PV.</p

Analysing the influence of treatment timing on nadir values.

(a) Simulation study in which 20 simulated nadirs were compared with the true nadir of the last CC for the 14 patients who have more than one CC. The simulated nadirs were computed by using the patient’s PM (second row of Table 3) and varying the start of the last CC daily with the maximal starting variation of 10 days earlier or later. (b) Exemplary variation of the CC start for one patient. An earlier (later) start results in a larger (lower) nadir.</p

Simulations of different pharmacokinetic models and Ara-C concentration measurements from Kern <i>et al</i>. [39].

Simulations of different pharmacokinetic models and Ara-C concentration measurements from Kern et al. [39].</p