GROWTH AND YIELD OF KOHLRABI AS INFLUENCED BY FERTILIZERS AND MULCHES

DEPARTMENT OF HORTICULTURE SHER-E-BANGLA AGRICULTURAL UNIVERSITY DHAKA-1207The field experiment was conducted during the period of November 2016 to January 2017 at Horticulture farm of Sher-e-Bangla Agricultural University Dhaka-1207, Bangladesh. Four levels of organic and inorganic fertilizers viz., F 1 : Recommended doses of NPK (N=125kg/ha, P=60kg/ha, K=110kg/ha), F 3 Recommended dose of poultry manure (11 t/ha), F 4 : ½ recommended doses of NPK+ ½ recommended doses of poultry manure; and three levels of mulches i.e. M 1 : Control, M 2 : White polythene mulch, M 3 : Black polythene mulch were used in the experiment. Result indicated that the vegetative growth of kohlrabi i.e. plants height (cm), number of leaves plant -1 , knob diameter (cm), knob weight with leaves (g), knob weight without leaves (g), root length (cm), and yield plot -1 : Control, F 2 (kg) and yield ha (t ha -1 ) were highest in case of F 4 treatment and M 2 treatment. The combined effect of F 4 M 2 produced the superior result for all vegetative growth and yield of kohlrabi.A Thesis Submitted to the Department of Horticulture, Sher-e-Bangla Agricultural University, Dhaka, in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE (MS) IN HORTICULTUR

Delay models for static and adaptive persistent resource allocations in wireless systems

A variety of scheduling strategies can be employed in wireless systems to satisfy different system objectives and to cater for different traffic types. Static persistent resource allocations can be employed to transfer small M2M data packets efficiently compared to dynamic packet-by-packet scheduling, even when the M2M traffic model is non-deterministic. Recently, adaptive persistent allocations have been proposed in which the volume of allocated resources can change in sympathy with the instantaneous queue size at the M2M device and without expensive signaling on control channels. This increases the efficiency of resource usage at the expense of a (typically small) increased packet delay. In this paper, we derive a statistical model for the device queue size and packet delay in static and adaptive persistent allocations which can be used for any arrival process (i.e., Poisson or otherwise). The primary motivation is to assist with dimensioning of persistent allocations given a set of QoS requirements (such as a prescribed delay budget). We validate the statistical model via comparison with queue size and delay statistics obtained from a discrete event simulation of a persistent allocation system. The validation is performed for both exponential and gamma distributed packet inter-arrivals to demonstrate the model generality

MicroRNA: A Signature for Cancer Diagnostics

Various tools and techniques are being used for the diagnosis of cancer, but not a sole technique provides powerful result at the very early stages of cancer. This provides the need for type of tools which could detect cancer at early stages so that survival rate could be augmented. There are various diagnostic ways to identify cancer, but in each case, there are always circumstances to compromise on the sensitivity. In this framework, a new and more advanced approach of diagnosis for cancer is microRNA (miRNA). miRNAs are conserved regions among humans and animals, and their synthesis takes place in the nucleus and cytoplasm. There are several types of microRNAs that could be upregulated and downregulated in various cancers. A cancer cell could be identified by measurement of the expression pattern of miRNA. By examining the expression level for different types of cancers, miRNA can be used as biomarker for early detection of cancer in human beings

A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices

The prominence of Machine-to-Machine (M2M) communications in the future wide area communication networks place various challenges to the cellular technologies such as the Long Term Evolution (LTE) standard, owing to the large number of M2M devices generating small bursts of infrequent data packets with a wide range of delay requirements. The channel structure and Quality of Service (QoS) framework of LTE networks fail to support M2M traffic with multiple burst sizes and QoS requirements while a bottleneck often arises from the limited control resources to communicate future uplink resource allocations to the M2M devices. Moreover, many of the M2M devices are battery-powered and require a low-power consuming wide area technology for wide-spread deployments. To alleviate these issues, in this article we propose an adaptive semipersistent scheduling (SPS) scheme for the LTE uplink which caters for multi-service M2M traffic classes with variable burst sizes and delay tolerances. Instead of adhering to the rigid LTE QoS framework, the proposed algorithm supports variation of uplink allocation sizes based on queued data length yet does not require control signaling to inform those allocations to the respective devices. Both the eNodeB and the M2M devices can determine the precise uplink resource allocation related parameters based on their mutual knowledge, thus omitting the burden of regular control signaling exchanges. Based on a control parameter, the algorithm can offer different capacities and levels of QoS satisfaction to different traffic classes. We also introduce a pre-emptive feature by which the algorithm can prioritize new traffic with low delay tolerance over ongoing delay-tolerant traffic. We also build a model for incorporating the Discontinuous Reception (DRX) mechanism in synchronization with the adaptive SPS transmissions so that the UE power consumption can be significantly lowered, thereby extending their battery lives. The simulation and performance analysis of the proposed scheme shows significant improvement over the traditional LTE scheduler in terms of QoS satisfaction, channel utilization and low power requirements of multi-service M2M traffic

Massive Fluid Requirements and an Unusual BUN/Creatinine Ratio for Pre-Renal Failure in Patients with Cholera

Background: Cholera is an important infectious cause of secretory diarrhea. The primary symptom of infection is the sudden onset of watery diarrhea with subsequent volume depletion causing renal insufficiency. The objective of this research is to study the level of dehydration at presentation and subsequent fluid management in Patients with cholera. Methods: This study was conducted on 191 Patients of Cholera admitted at a tertiary care hospital in Karachi, Pakistan during the period of 5 years. Medical charts were evaluated retrospectively for initial hydration status, baseline lab investigations on admission and discharge and fluid therapy given to all the Patients while their stay in the hospital and the data was analyzed on SPSS 15.0. Results: Out of the 191 Patients, 83(43%) were males and 108 (57%) were females with mean age of 42.3 years (SD+/-18.34). The average duration of symptoms was 3.75 days (SD+/-2.04). Of 191 Patients, 175 (92.1%) presented with dehydration, 80 (42.3%) were given Ringer\u27s Lactate (R/L) + Normal Saline (N/S), 45 (24%) Patients were given R/L + N/S + Oral Rehydration Therapy (ORS), 27 (14.3%) of the Patients were kept on R/L only and remaining were given various combinations of R/L, N/S, ORS and Dextrose Saline (D/S). On admission mean Blood Urea Nitrogen (BUN) was 24.54 (SD+/-16.6), mean creatinine was 2.47 (SD+/-2.35) and mean BUN/Creatinine ratio was 11.63 (SD+/-5.7). Conclusion: Aggressive fluid rehydration remains the cornerstone of management of cholera. Instead of presenting with a classical BUN/Creatinine ratio of \u3e20:1, Patients with pre-renal failure in cholera may present with a BUN/Creatinine ratio of \u3c15:1

Early Detection of Pandemic (H1N1) 2009, Bangladesh

To explore Bangladesh's ability to detect novel influenza, we examined a series of laboratory-confirmed pandemic (H1N1) 2009 cases. During June-July 2009, event-based surveillance identified 30 case-patients (57% travelers); starting July 29, sentinel sites identified 252 case-patients (1% travelers). Surveillance facilitated response weeks before the spread of pandemic (H1N1) 2009 infection to the general population.VoRSUNY DownstateEpidemiology and BiostatisticsN/

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy.

Peer reviewe

Bioconversion of Tyrosine and Tryptophan Derived Biogenic Amines by Neuropathogenic Bacteria

The biochemical potential of pathogenic bacteria may cause alteration in the neurophysiological environment; consequently, neuroendocrine and immune responses of the host are modulated by endogenously produced metabolic products of neuropathogenic bacteria. The present study was designed to detect the derived biogenic amines in spent culture media of Bacillus cereus (Bc), Clostridium tetani (Ct), Listeria monocytogenes (Lm), and Neisseria meningitidis (Nm). Overnight grown culture in different culture media i.e., Nutrient broth (NB), Luria basal broth (LB), Brain Heart Infusion broth (BHI), and human serum supplemented RPMI 1640 medium (RPMI) were used to prepare filter-sterilized, cell-free cultural broths (SCFBs) and subjected to high performance liquid chromatography with electrochemical detection (HPLC-EC) along with the control SCFBs. Comparative analysis of biogenic amines in neuropathogenic bacterial SCFBs with their respective control (SCFB) revealed the complete degradation of dopamine (DA) into its metabolic products by Bc, Ct, and Nm, whereas Lm showed negligible degradation of DA. A relatively high concentration of 5-hydroxyindol acetic acid (5HIAA) by Bc in NB and LB indicated the tryptophan metabolism by the serotonin (5HT) pathway. Our study suggests that microbial endocrinology could help unravel new perspectives to the progression of infectious diseases