Interaction of Salmonella with E. coli and Proteus spp. in Biofilm Formation

Aims: Investigate the interaction of Salmonella spp. with E. coli and Proteus spp. in biofilm formation as mono and dual-species at different time durations Experimental Design: Salmonella, Proteus, and E. coli were isolated from Broiler chicken meat, and the biofilm-forming ability of these organisms were studied. Place and Duration of Study: The study was conducted at the Laboratory of Livestock Production, Faculty of Agricultural Sciences, Sabaragamuwa University of Sri Lanka, from 2019 December to 2020 May. Methodology: This study investigated the biofilm-forming ability of Salmonella as a mono species and its interaction with E. coli and Proteus in the process of biofilm formation. Microorganisms used for this study were isolated from broiler chicken meat. Biofilm was quantified using a microtitre plate assay. The interaction effects were tested at the temperature of 280C in different time durations (up to 120 hours). Results: Salmonella 1 and Proteus monocultures showed significantly higher biofilm-forming ability than Salmonella 3 isolate at all tested time points. At 120 hr, additionally to the salmonella 1 and Proteus isolates E. coli also formed significantly higher biofilms than Salmonella 3. However, Salmonella 3 was the lowest biofilm former as mono biofilm at all tested time durations. Salmonella 1 interaction with Salmonella 3 isolates formed less biofilms than Salmonella 1 mono biofilm at 48hr and 72hr correspondingly. Salmonella 1 and its interactions with Salmonella 3, Proteus, E. coli showed similar biofilm-forming abilities without significant differences at all other tested time points. Specifically, Salmonella 3 interaction with Salmonella 1 as dual biofilm showed higher biofilm-forming ability than Salmonella 3 mono biofilm at all tested time points. Tested isolates and their interaction achieved the highest biofilm formation at numerous time points. In fact, at 48hr, Salmonella 3 isolates and its interaction of Proteus, E. coli, and Salmonella 1 interaction with Proteus attained their highest biofilm formation abilities. The highest biofilm formation was achieved by Salmonella 1 isolate as mono biofilm and Salmonella 1 interaction with E. coli as dual biofilm at 72hr. Biofilm-forming trend of respective isolates and interactions showed numerous patterns at tested time durations. Specifically, E. coli rapidly enhanced its biofilm-forming ability as monoculture from 24 hr to 120 hr. Proteus, Salmonella 3 as monocultures, Salmonella 3 interaction with Proteus and E. coli as dual cultures showed progressive biofilm development from 24 hr to 48 hr. Salmonella 1 monoculture and its interaction with Salmonella 3, E. coli as dual biofilm improved their biofilm-forming ability from 24 hr to 72 hr. Similar to Salmonella 3 interaction with Proteus, Salmonella 1 interaction with Proteus also increased its biofilm-forming ability from 24 hr to 48 hr. Conclusions: This study concluded that there is a variation among isolates and their combinations in forming the biofilms, where there is an enhancement of biofilm in dual-species over the mono-species in some interaction, and there is a reduction in biofilm formation by dual-species with some combinations. Further, this concluded that Salmonella is interacting with other commonly found bacteria such as Proteus and E. coli in biofilm formation.

Role of Geomechanics in Identification of Possible Mechanisms for Non-productive Times NPT and Improving Drilling Operations in a Mature Field in Offshore Sarawak, Malaysia

This paper presents a case study on the role of geomechanics to identify possible failure mechanisms for non-productive time (NPT), avoid drilling risks and minimize costs in a field development drilling campaign, Offshore Sarawak Malaysia. Drilling optimization and reducing NPT for the drilling campaign was one of the key focus for maintaining the drilling time and costs. Drilling of moderately to highly deviated wells in this field has proven to be extremely challenging. Numerous lost-time incidents due to tight hole, stuck pipe, pack-off, casing held up were experienced, particularly when drilling through the shallow overburden shales and deeper reservoirs interbedded with shales and coals. Faced with continually increased NPTs, a geomechanical model was developed using regional offset wells to understand the mechanism of failures. A geomechanical model was developed to quantify the minimum recommended mud weights and optimize the wellbore trajectories. The outcome of this study was used as key input for casing and mud design. The in-situ stress state derived from field wide geomechanical model indicates the field is associated with a normal faulting stress regime, i.e., Shmin < SHmax < SV. The presence of relatively weak rocks means the field is potentially subject to stress-induced wellbore instability problems. However, observations of numerous time-dependent failures imply secondary influences must also be considered to arrive at possible remediation strategies. It was observed that the combination of weak rocks and numerous time-dependent failures using different types of mud system have contributed to wellbore stability problems. The wellbore stability is due to reactive shale, which is time sensitive as majority of the drilling problems are observed after drilling. The major contributor to the time-dependent deterioration process is mechanical and chemical imbalances between shale and drilling fluids compounded by large open-hole exposure area and contact time resulting in rising pore pressure caused by the invasion of drilling fluid into the formations, and then exacerbated by less-than-optimal drilling practices. This finding, together with improved geomechanical understanding of the field helped to evaluate the safe mud weight windows, formulate the mud designs and optimize drilling practices. All the planned wells were drilled successfully without any loss time incidents and non-productive time. This paper presents an integrated approach and workflow that combines the drilling data and formation response to identify the most likely causative mechanisms of the time-delayed wellbore instabilities in a mature field. This knowledge was then used to develop strategies for optimizing future drilling operations in the field.

Estimating the optical extinction of liquid water clouds in the cloud base region

Accurate lidar-based measurements of cloud optical extinction, even though perhaps limited to the cloud base region, are useful. Arguably, more advanced lidar techniques (e.g. Raman) should be applied for this purpose. However, simpler polarisation and backscatter lidars offer a number of practical advantages (e.g. better resolution and more continuous and numerous time series). In this paper, we present a backscatter lidar signal inversion method for the retrieval of the cloud optical extinction in the cloud base region. Though a numerically stable method for inverting lidar signals using a far-end boundary value solution has been demonstrated earlier and may be considered as being well established (i.e. the Klett inversion), the application to high-extinction clouds remains problematic. This is due to the inhomogeneous nature of real clouds, the finite range resolution of many practical lidar systems, and multiple scattering effects. We use an inversion scheme, where a backscatter lidar signal is inverted based on the estimated value of cloud extinction at the far end of the cloud, and apply a correction for multiple scattering within the cloud and a range resolution correction. By applying our technique to the inversion of synthetic lidar data, we show that, for a retrieval of up to 90 m from the cloud base, it is possible to obtain the cloud optical extinction within the cloud with an error better than 5 %. In relative terms, the accuracy of the method is smaller at the cloud base but improves with the range within the cloud until 45 m and deteriorates slightly until reaching 90 m from the cloud base.

Estimating optical extinction of liquid water clouds in the cloud base region

Accurate lidar-based measurements of cloud optical extinction, even though perhaps limited to the cloud base region, are useful. Arguably, more advanced lidar techniques (e.g. Raman) should be applied for this purpose. However, simpler polarization and backscatter lidars offer a number of practical advantages (e.g. better resolution, more continuous and numerous time series). In this paper we present a backscatter lidar signal inversion method for the retrieval of the cloud optical extinction in the cloud base region. Though a numerically stable method for inverting lidar signals using a far-end boundary value solution has been earlier demonstrated and may be considered well-established (i.e. the Klett inversion), the application to high-extinction clouds remains problematic. This is due to the inhomogeneous nature of real clouds, the finite range-resolution of many practical lidar systems and multiple-scattering effects. We use an inversion scheme where a backscatter lidar signal is inverted based on the estimated value of cloud extinction at the far end of the cloud and apply a correction for multiple-scattering within the cloud and a range resolution correction. By applying our technique to the inversion of synthetic lidar data, we show that for a retrieval of up to 90 m from the cloud base it is possible to obtain the cloud optical extinction within the cloud with an error better than 5 %. In relative terms, the accuracy of the method is smaller at the cloud base but improves with the range within the cloud until 45 m and deteriorates slightly until reaching 90 m from the cloud base.

Parallel matrix multiplication circuits for use in Kalman filtering

In this work we propose several ways of the CMOS implementation of a circuit for the multiplication of matrices. We mainly focus on parallel and asynchronous solutions, however serial and mixed approaches are also discussed for the comparison. Practical applications are the motivation behind our investigations. They include fast Kalman filtering commonly used in automotive active safety functions, for example. In such filters, numerous time-consuming operations on matrices are performed. An additional problem is the growing amount of data to be processed. It results from the growing number of sensors in the vehicle as fully autonomous driving is developed. Software solutions may prove themselves to be insuffucient in the nearest future. That is why hardware coprocessors are in the area of our interests as they could take over some of the most time-consuming operations. The paper presents possible solutions, tailored to specific problems (sizes of multiplied matrices, number of bits in signals, etc.). The estimates of the performance made on the basis of selected simulation and measurement results show that multiplication of 3?3 matrices with data rate of 20 100 MSps is achievable in the CMOS 130 nm technology.

Group Sequential Clinical Trial Designs for Normally Distributed Outcome Variables

In a group sequential clinical trial, accumulated data are analyzed at numerous time points to allow early decisions about a hypothesis of interest. These designs have historically been recommended for their ethical, administrative, and economic benefits. In this article, we first discuss a collection of new commands for computing the stopping boundaries and required group size of various classical group sequential designs, assuming a normally distributed outcome variable. Then, we demonstrate how the performance of several designs can be compared graphically.

Forecasting With Exponential Smoothing Whats The Right Smoothing Constant?

This paper examines exponential smoothing constants that minimize summary error measures associated with a large number of forecasts. These forecasts were made on numerous time series generated through simulation on a spreadsheet. The series varied in length and underlying nature no trend, linear trend, and nonlinear trend. Forecasts were made using simple exponential smoothing as well as exponential smoothing with trend correction and with different kinds of initial forecasts. We found that when initial forecasts were good and the nature of the underlying data did not change, smoothing constants were typically very small. Conversely, large smoothing constants indicated a change in the nature of the underlying data or the use of an inappropriate forecasting model. These results reduce the confusion about the role and right size of these constants and offer clear recommendations on how they should be discussed in classroom settings.

Time Studies in Probation and Parole

Numerous time studies have been conducted in probation and parole agencies in recent years. The importance of these studies as bases for further research and for administrative decisions in the assignment of caseloads and allocation of costs indicates that many more will be conducted in the future.