scholarly journals Emery's comprehensive line of coconut fatty acids promises the right quality/performance balance for your needs.

1976 ◽  
Vol 54 (11) ◽  
pp. 25
2016 ◽  
Vol 7 (14) ◽  
pp. 143-155
Author(s):  
Eldha Sampepana ◽  
Suroto Hadi Saputra

In the manufacture of detergents still using surfactants (which serves as an emulsifier) of crude oil in the form of the AS. (alcohol sulfate) and LAS (linear alkylbenzene sulfonate), where this type of surfactant cannot be degraded by microorganisms when discharged into the environment, causing environmental pollution. Methyl ester sulfonate surfactant is an anionic surfactant which has a composition of C16 - C18 fatty acids are capable of acting against nature deterjensinya, while the C12 - C14 fatty acids contribute to the foaming effect. The purpose of this study was to look for the formulation of methyl ester sulfonate (MES) the right to produce a good detergent by using materials such as methyl ester sulfonate surfactant self-made, methyl ester sulfonate and sodium lauryl market Ester Sulfate (SLS) with a concentration of 15 %, 20 % and 25 %. Detergent results of the study have high detergency ( net ) compared with the detergency of detergent commercial, have a stable emulsion stability, the stability of the foam/foam detergent power made from methyl ester sulfonate surfactant produces less foam, compared with a detergent made from SLS and surfactant SNI 06-4075-1996 standards.


2021 ◽  
Vol 1 (63) ◽  
pp. 38-43
Author(s):  
S. Koshel ◽  
◽  
G. Koshel ◽  

To create reliable and highly efficient, en- ergy-saving machines for light industry, it is necessary to study the dynamic processes of movement of the links of the mechanisms of which they are composed. Especially such studies should be given attention for machines, the mechanisms of which have a cyclic nature of action. During the execution of a technological operation in light industry machines with a periodic cyclic movement of the working bodies, an uneven movement of the main shaft occurs. This is caused by the movement of the links of the mechanism with certain accelerations and taking into account the periodic nature of the action of technological loads, which vary in magnitude and direction. The uneven nature of the movement leads to the appearance of additional loads in the kinematic pairs of mechanisms, mechanical vibrations in the mechanical trans- mission systems of motion, leads to the appearance of vibrations and violations in the positioning of the working bodies, affects the techno- logical process of the equipment. Uniform and stable tension of the threads is the key to a high-quality performance of the loop formation process in knitwear. Additional dynamic loads affect the technological tension of textile threads during equipment operation. These loads are caused by the accelerated movement of the links of the mechanism, which is especially important for technological equipment with the pres- ence of a reverse working stroke of its links. In such mechanisms, the values of the angular acceleration of the links and the linear accelera- tion of their individual points can acquire critically permissible values. It is possible to ensure the movement of the working bodies of the machine according to the law for which the tension of the threads will be optimally necessary. To do this, you need to choose the right type of mechanism that sets them in motion. The aim of the work is to conduct a structural-kinematic research of the mechanism of the reversible movement of the needle drum of a knitting machine, which will justify the selection of the required type of mechanism for such equipment. The confirmation of the improvement of the conditions for the formation of loops when knitting on a knitting machine with a reversible needle drum movement, made on the basis of a rocker mechanism, has been obtained.


2020 ◽  
Vol 21 (21) ◽  
pp. 8224
Author(s):  
Rahul Patel ◽  
James Barker ◽  
Amr ElShaer

Conclusions from previously reported articles have revealed that many commonly used pharmaceutical excipients, known to be pharmacologically inert, show effects on drug transporters and/or metabolic enzymes. Thus, the pharmacokinetics (absorption, distribution, metabolism and elimination) of active pharmaceutical ingredients are possibly altered because of their transport and metabolism modulation from the incorporated excipients. The aim of this review is to present studies on the interaction of various commonly-used excipients on pre-systemic metabolism by CYP450 enzymes. Excipients such as surfactants, polymers, fatty acids and solvents are discussed. Based on all the reported outcomes, the most potent inhibitors were found to be surfactants and the least effective were organic solvents. However, there are many factors that can influence the inhibition of CYP450, for instance type of excipient, concentration of excipient, type of CYP450 isoenzyme, incubation condition, etc. Such evidence will be very useful in dosage form design, so that the right formulation can be designed to maximize drug bioavailability, especially for poorly bioavailable drugs.


2021 ◽  
Vol 10 (2) ◽  
pp. 69-74
Author(s):  
Klaudia Lorbiecka ◽  

Psoriasis is a chronic, inflammatory and autoimmune disease that affects approximately 2% of the world’s population. The pathogenesis of this disease is complex, and despite the many mechanisms responsible for the development of psoriasis have been explained, it is still not fully understood. Scientific publications provide more and more recent information on the molecular mechanisms of psoriasis and the relationship between the course of the disease and eating habits. The aim of the study was to determine the influence of eating habits on the course of psoriasis and to present compounds that have proven effectiveness in alleviating the course of this disease. Numerous reports indicate that certain eating disorders affect the course of the disease It is suggested that a properly balanced diet, providing the right amount of polyunsaturated fatty acids, antioxidants, micro and macro elements, may have anti-inflammatory effects and not only significantly reduce the severity of psoriasis lesions, but also increase the patient’s comfort of life.


Author(s):  
Justin R. Papp ◽  
William H. Forbes ◽  
Matthew A. R. Yarmuch

We have all dealt with performance metrics in the pipeline industry. How do we measure operational excellence? Are we prioritizing the right corrective actions? Are our existing metrics fair and driving the right behaviors? Will they recognize success and actually show us and our clients that we are improving? This paper describes how Enbridge Major Projects measures and knows our Quality is improving; how we prioritize, focus, and monitor Quality improvement. Using our roadmap, your organization can transform existing data streams from anecdotal to well established facts that produce actionable results and drive business objectives. To reach this outcome, Enbridge Major Projects quickly matured our Quality Culture by leveraging our strong Safety Culture and habits. On our journey to meaningful overall Quality metrics, Enbridge built a foundation through non-punitive incident reporting using incident resolution tools and a Cost of Quality model. Cost of Quality models can be designed and executed in a variety of ways. This paper will focus on applying a model specifically suited for pipeline construction and operational activities. Key topics to be addressed include: • basic common principles of an overall Cost of Quality model, • various data collection methods to suit the model’s design, and • how a Documented Defects Quality cost model allows Enbridge to identify, prioritize, and monitor Quality improvements focused on preventing recurrence and occurrence of Quality issues. Examples will be provided for common pipeline applications, including valves, pipe, and other commodities and services. This approach has enabled Enbridge Major Projects to prioritize improvement actions and meet business objectives. Applying a Cost of Quality model will enhance your operational excellence and greater adoption would provide the foundation for industry-wide Quality performance metrics that will recognize success and validate that Quality is improving in the pipeline industry.


2020 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Valentino Peluso ◽  
Roberto Giorgio Rizzo ◽  
Andrea Calimera

Embedded Convolutional Neural Networks (ConvNets) are driving the evolution of ubiquitous systems that can sense and understand the environment autonomously. Due to their high complexity, aggressive compression is needed to meet the specifications of portable end-nodes. A variety of algorithmic optimizations are available today, from custom quantization and filter pruning to modular topology scaling, which enable fine-tuning of the hyperparameters and the right balance between quality, performance and resource usage. Nonetheless, the implementation of systems capable of sustaining continuous inference over a long period is still a primary source of concern since the limited thermal design power of general-purpose embedded CPUs prevents execution at maximum speed. Neglecting this aspect may result in substantial mismatches and the violation of the design constraints. The objective of this work was to assess topology scaling as a design knob to control the performance and the thermal stability of inference engines for image classification. To this aim, we built a characterization framework to inspect both the functional (accuracy) and non-functional (latency and temperature) metrics of two ConvNet models, MobileNet and MnasNet, ported onto a commercial low-power CPU, the ARM Cortex-A15. Our investigation reveals that different latency constraints can be met even under continuous inference, yet with a severe accuracy penalty forced by thermal constraints. Moreover, we empirically demonstrate that thermal behavior does not benefit from topology scaling as the on-chip temperature still reaches critical values affecting reliability and user satisfaction.


Antibiotics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1010
Author(s):  
Federica Scicutella ◽  
Federica Mannelli ◽  
Matteo Daghio ◽  
Carlo Viti ◽  
Arianna Buccioni

For decades antibiotics have been used in poultry rearing to support high levels of production. Nevertheless, several problems have arisen because of the misuse of antibiotics (i.e., antibiotic resistance, residues in animal products, environmental pollution). Thus, the European Union (EU) as well as the European Food Safety Authority (EFSA) promote action plans to diminish the use of antibiotics in animal production. Alternatives to antibiotics have been studied. Polyphenols (PPs) or organic acids (OAs) seem to be two accredited solutions. Phenolic compounds, such as phenols, flavonoids, and tannins exert their antimicrobial effect with specific mechanisms. In contrast, short chain fatty acids (SCFAs) and medium chain fatty acids (MCFAs), the OAs mainly used as antibiotics alternative, act on the pathogens depending on the pKa value. This review aims to collect the literature reporting the effects of these substances applied as antimicrobial molecules or growth promoter in poultry feeding (both for broilers and laying hens). Organic acids and PPs can be used individually or in blends, exploiting the properties of each component. Collected data highlighted that further research needs to focus on OAs in laying hens’ feeding and also determine the right combination in blends with PPs.


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