Mutation of Bacillus velezensis Using Corona Discharge

Bacillus velezensis is a kind of beneficial bacteria that is widely used in agriculture industry. Bacillus velezensis was irradiated with corona discharge generated by a needle-array high-voltage electrode. The results showed an improvement of activity of Bacillus velezensis by the corona discharge treatment was confirmed at an optimum input energy. Mutation of the Bacillus velezensis by the corona discharge treatment was also confirmed through an rRNA sequence alignment analysis. The enzyme activity of the mutated bacteria was greatly improved, which was a positive effect that can meet the production demand.

Maximizing Condensate Recovery With Proven Cost Simulation for a Giant UAE Field: Base Study to Estimate Productivity between Horizontal and Vertical Wells

Implementing the horizontalization scheme was developed for number of wells in order to increase the Gas and Condensate production, which will achieve sustainable and profitable Gas Supply. It worth to highlight that most of these wells are being subjected to N2 and lean gas breakthroughs. By adopting a comparison methodology, the horizontal wells showed better performance in terms of HC production and CGR performance. The number of breakthrough in horizontal wells is less or delayed in term of time. High production demand was promoting this project to take place, where the current situation was not supporting due to N2 and lean gas breakthrough, which is affecting the quality of the gas sales. It was challenging to balance between high production demand, N2, and lean gas breakthrough. Initially, optimizing the production allowable was considered to maximize the production from high CGR wells and minimize the production from low CGR wells. The sidetrack scheme is important to penetrate the un-swept area and to maintain the geometry/distances between wells to prevent early breakthrough and minimize the interference. All results from surveillance and hydrodynamic simulation were integrated for final field assessment impact. This work has resulted in positive expected outcome with few millions additional condensate recovery and extended gas production plateau. According the outcomes analysis the implementation plan was designed.

Evaluation of the Use of Advanced Ozone Oxidative Process in Reducing the Danger of Environmental Toxicity by Endocrine Interferences of Magistral Pharmacy

The presence of emerging pollutants in the waters has been observed worldwide, resulting from improper domestic disposal, non-recommended veterinarian use, and product waste from pharmaceutical industries and magistral pharmacies. The contamination provoked, besides causing damage to the environment, remains in potable water even after passing through the treatment plants. The objective of this work was to verify the existence of environmental toxicity of raw effluents from gross pharmacy laboratories, as well as the same effluent treated with POA via ozone in the time of 1 hour, having as a risk parameter the changes that they cause in Euglena gracilis algae. Photosynthetic efficiency tests were conducted via PAM, and chlorophyll concentration and behavioral evaluation were checked via NGTOX. The results demonstrate that the hormone laboratory was considered the most impacted effluent treated, with lower production and significant chlorophyll reduction. It presented reduction in photosynthetic post-ozonation activity, due to the hormone decomposition, oxidative potential and ethylene formation. Effluents from psychotropic and solid laboratories presented different production demand, but similar follow-up, with impact on the behavior and algae’s photosynthetic activity, due to the presence of active substances on cellular action potentials. The treated effluent from dermocosmetics laboratory influenced the chlorophyll concentration, as well as the general speed and velocity of surface ascent. The behavioral differences between the laboratories and the pre and post-ozonation conditions demonstrate that the effluent treatment should be distinguished, according to the characteristics of the manipulated substances in each laboratory.

The Economic Analysis on the Competitiveness of Small Towns with Sports Characteristics under the Guidance of “Diamond Model” Theory

The sunrise industry of sports characteristic town under the transformation of economic development and the change of social demand contradiction is also a new growth point of sports industry economy. If we avoid homogeneous competition and improve the comprehensive competitiveness of small towns with sports characteristics, it will be a hot issue studied by scholars at home and abroad. The “Diamond Model” theory finds out the shortcomings of the development of sports characteristic towns by analyzing the factors of production, demand conditions, relevant supporting industries, and development strategies and puts forward the corresponding countermeasures. MATLAB simulation results show that the “Diamond Model” theory can improve the comprehensive competitiveness of sports characteristic towns, reduce the consumption of existing resources, and make a good prediction of the future development trend. Therefore, Porter’s “Diamond Model” theory can provide guidance for the improvement of the comprehensive competitiveness of sports characteristic towns, and this study can provide theoretical and case support for relevant domestic research.

Automatic Fabric Defect Detection Based on an Improved YOLOv5

Fabric defect detection is particularly remarkable because of the large textile production demand in China. Traditional manual detection method is inefficient, time-consuming, laborious, and costly. A deep learning technique is proposed in this work to perform automatic fabric defect detection by improving a YOLOv5 object detection algorithm. A teacher-student architecture is used to handle the shortage of fabric defect images. Specifically, a deep teacher network could precisely recognize fabric defects. After information distillation, a shallow student network could do the same thing in real-time with minimal performance degeneration. Moreover, multitask learning is introduced by simultaneously detecting ubiquitous and specific defects. Focal loss function and central constraints are introduced to improve the recognition performance. Evaluations are performed on the publicly available Tianchi AI and TILDA databases. Results indicate that the proposed method performs well compared with other methods and has excellent defect detection ability in the collected textile images.

Hipocalcemia e cetose - principais doenças metabólicas da vaca leiteira durante o período de transição - uma revisão de literatura

With the increased production demand in the dairy industry comes the need to keep animals healthier, thus avoiding large economic losses due to low productivity. During the transition period, dairy cows are susceptible to the onset of infectious diseases and metabolic imbalances due to the big change in their diet, it could be poor in needed nutrients to maintain the animal's body score, with this, the dry matter intake decreases up to 40% while energy expenditure increases due to milk and colostrum production, getting into a negative energy balance state.

Neurons undergo pathogenic metabolic reprograming in models of familial ALS

SummaryNormal cellular function requires a rate of ATP production sufficient to meet demand. In most neurodegenerative diseases (including Amyotrophic Lateral Sclerosis, ALS), mitochondrial dysfunction is postulated raising the possibility of impaired ATP production and a need for compensatory maneuvers to sustain the ATP production/demand balance. We find in our rodent models of familial ALS (fALS), impairment in neuronal glycolytic flux with maintained or enhanced activity of the citric acid cycle. This rewiring of metabolism is associated with normal ATP levels and redox status, supporting the notion that mitochondrial function is not compromised in neurons expressing fALS genes. Genetic loss-of-function manipulation of individual steps in the glycolysis and the pentose phosphate pathway blunt the negative phenotypes seen in various fALS models. We propose that neurons adjust fuel utilization in the setting of neurodegenerative disease-associated mitochondrial dysfunction in a baleful manner and targeting this process can be healthful.

Sosialisasi Usulan Perancangan Tata Letak Pabrik Pada PT Sari Kayu, Jakarta Timur

The problem faced by PT Sari Kayu is that fluctuating production demand and high product variance make production inefficient. If the problem does not have a good factory layout, it affects material handling costs, material handling distances, and material handling time. For example, at PT Sari Kayu, there was a delay during a wrong project because the two projects were running simultaneously. The delay is due to the lack of resistance of the production floor to sudden high fluctuations in production demand. In addition, product variance is also a factor in the longer production process due to the different sequence of production processes and less supportive machine layouts. It is hoped that with the proposed layout, PT Sari Kayu will be able to face the fluctuating demand for production.

Smart Management of the Production–Demand Binomial and the Active Participation of End-User through the Smart Metering Support

At global level nowadays, there is a general movement towards the goal of a ‘zero-emission’ energy systems. It will require a necessary energy transition characterized by a continuous increase of generation facilities from renewable energy sources (RES), from a massive increase in energy efficiency and, contemporary, an increased use of electricity to meet the energy needs traditionally required through the direct use of fossil fuels. In order to provide end-users with a greater knowledge and awareness of their energy consumption and the benefits of distributed use of renewable energy sources, it is fundamental to employ a smart metering progress which can enable an evolved and ‘smart’ management of the production–demand binomial and an active participation in the energy system. The importance of functionalities implemented in a smart meter—for end-user engagement, empowerment, and awareness—is presented in the paper. For instance, we present a simple optimization functionality for photovoltaic (PV) and storage system sizing based on load and production duration curves and historical data collected by the smart meter with fine resolution. The ease of this functionality uses a data history with extremely high resolutions, which are able to measure the power ramps that occur when an appliance or any other load is connected. An example of application of the smart meter functionality and test cases’ analysis are reported to demonstrate the effectiveness of the tool.