Modeling the Performance of Full-Scale Anaerobic Biochemical System Treating Deinking Pulp Wastewater Based on Modified Anaerobic Digestion Model No. 1

The deinking pulp (DIP) is a main resource for paper making, and the wastewater from DIP process needs to be treated. Anaerobic biochemical technique has been widely applied in DIP wastewater treatment, due to the remarkable capability in reducing high chemical oxygen demand (COD). In this study, a mathematical simulation model was established to investigate the performance of a full-scale anaerobic biochemical system for treating DIP wastewater. The model was based on Anaerobic Digestion Model No. 1 (ADM1), which was modified according to the specific anaerobic digestion process for DIP wastewater treatment. The hydrodynamic behavior of a full-scale anaerobic biochemical system was considered in this model. The characteristics of the influent DIP wastewater were assessed, and then, the substrate COD proportion was divided successfully for the necessity of ADM1 applying. The Monte Carlo technique was implemented to distinguish the most sensitive parameters that influenced the model output indicators comprising effluent COD and biogas production. The sensitive parameters were estimated and optimized. The optimized value of k_m_pro is 12.02, K_S_pro is 0.35, k_m_ac is 4.26, K_S_ac is 0.26, k_m_h2 is 16.62, and K_S_h2 is 3.21 × 10–5. The model was calibrated with 150 days operation values measured in the field. The subsequent 100 days on-site values were used to validate the model, and the results obtained by the simulations were in good agreement. This study provides a meaningful and theoretical model guidance for full-scale wastewater anaerobic biochemical treatment simulation.

Variasi Waktu Pembacaan Setelah Stop Solution Terhadap Nilai Absorbansi Anti HBS Metode Elisa

Enzyme-Linked Immunosorbent Assay (ELISA) is a biochemical technique used in the field of immunology to presence detection of antibodies or antigens in a sample. After providing a stop solution, it is necessary to know the right time for the absorbance reading. The purpose of this study was to determine the anti HBs titer with absorbance reading time variation (immediate, 30 minutes and 60 minutes). This research is an experimental study. The study population was D4 Health Analyst University Student Muhammadiyah Semarang Class 2018 after hepatitis B vaccination as many as 20. To know the difference in variation during the reading, Kruskal-Wallis test was conducted. The results showed the average absorbance at an immediate reading, 30, and 60 minutes complete in complete 1,931, 1,489, 1,276. Kruskal-Wallis statistical analysis obtained a p value of 0.00. The conclusion is obtained between the variation of absorbance reading time on the ELISA method

DiADeM: differential analysis via dependency modelling of chromatin interactions with robust generalized linear models

High throughput Chromosome Conformation Capture experiments have become the standard technique to assess the structure and dynamics of chromosomes in living cells. As any other sufficiently advanced biochemical technique, Hi-C datasets are complex and contain multiple documented biases, with the main ones being the non-uniform read coverage and the decay of contact coverage with genomic distance. Both of these effects have been studied and there are published methods that are able to normalize different Hi-C data to mitigate these biases to some extent. It is crucial that this is done properly, or otherwise the results of any comparative analysis of two or more Hi-C experiments are bound to be biased. In this paper we study both mentioned biases present in the Hi-C data and show that normalization techniques aimed at alleviating the coverage bias are at the same time exacerbating the problems with contact decay bias. We also postulate that it is possible to use generalized linear models to directly compare non-normalized data an that it is giving better results in identification of differential contacts between Hi-C matrices than using the normalized data.

A global map of RNA binding protein occupancy guides functional dissection of post-transcriptional regulation of the T cell transcriptome

RNA binding proteins (RBPs) mediate constitutive RNA metabolism and gene specific regulatory interactions. To identify RNA cis-regulatory elements, we developed GCLiPP, a biochemical technique for detecting RBP occupancy transcriptome-wide. GCLiPP sequence tags corresponded with known RBP binding sites, specifically correlating to abundant cytosolic RBPs. To demonstrate the utility of our occupancy profiles, we performed functional dissection of 3′ UTRs with CRISPR/Cas9 genome editing. Two RBP occupied sites in the CD69 3′ UTR destabilized the transcript of this key regulator of lymphocyte tissue egress. Comparing human Jurkat T cells and mouse primary T cells uncovered hundreds of biochemically shared peaks of GCLiPP signal across homologous regions of human and mouse 3′ UTRs, including a cis-regulatory element that governs the stability of the mRNA that encodes the proto-oncogene PIM3 in both species. Our GCLiPP datasets provide a rich resource for investigation of post-transcriptional regulation in the immune system.

Variations in serum alkaline DNase activity: a new means to assess early detection of relapse in patients treated for acute nonlymphoblastic leukemia

Our previously published clinical results on various malignancies indicated that the variations in serum alkaline DNase activity (SADA) could be a sensitive test for therapeutic monitoring of human malignancies. In the present study, the clinical efficacy of SADA detecting relapse in 32 acute nonlymphoblastic leukemia (ANLL) patients in remission was tested. The observation period ranged from 3 to 17 months. A simple and rapid biochemical technique based on spectrophotometric measurements was used to assay SADA. Of the 32 patients, 17 remained in remission and had less than a 15% variation in SADA levels. They had no clinical symptoms of recurrence at any time. In the remaining 15 patients, after a period of stability, a progressive decrease in SADA, with variations of more than 15%, was observed without any treatment. At that time, no abnormalities of clinical parameters were detected in these patients. A recurrence of disease as evidenced by routine examinations was found relatively late after the first decrease in SADA in all 15 patients (range 1.5 to 5.5 months). These results suggest that periodic measurements of SADA during the posttherapeutic course can be used as a means to assess early detection of an eventual recurrence.

Variations in serum alkaline DNase activity: a new means to assess early detection of relapse in patients treated for acute nonlymphoblastic leukemia

Our previously published clinical results on various malignancies indicated that the variations in serum alkaline DNase activity (SADA) could be a sensitive test for therapeutic monitoring of human malignancies. In the present study, the clinical efficacy of SADA detecting relapse in 32 acute nonlymphoblastic leukemia (ANLL) patients in remission was tested. The observation period ranged from 3 to 17 months. A simple and rapid biochemical technique based on spectrophotometric measurements was used to assay SADA. Of the 32 patients, 17 remained in remission and had less than a 15% variation in SADA levels. They had no clinical symptoms of recurrence at any time. In the remaining 15 patients, after a period of stability, a progressive decrease in SADA, with variations of more than 15%, was observed without any treatment. At that time, no abnormalities of clinical parameters were detected in these patients. A recurrence of disease as evidenced by routine examinations was found relatively late after the first decrease in SADA in all 15 patients (range 1.5 to 5.5 months). These results suggest that periodic measurements of SADA during the posttherapeutic course can be used as a means to assess early detection of an eventual recurrence.