دانلود و نمایش مقالات مرتبط با مواد شیمیایی::صفحه 1
بلافاصله پس از پرداخت دانلود کنید

با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد). 

نتیجه جستجو - مواد شیمیایی

تعداد مقالات یافته شده: 24
ردیف عنوان نوع
1 FANETs in Agriculture - A routing protocol survey
FANETs در کشاورزی - مرور پروتکل مسیریابی-2022
Breakthrough advances on communication technology, electronics and sensors have led to integrated commercialized products ready to be deployed in several domains. Agriculture is and has always been a domain that adopts state of the art technologies in time, in order to optimize productivity, cost, convenience, and environmental protection. The deployment of Unmanned Aerial Vehicles (UAVs) in agriculture constitutes a recent example. A timely topic in UAV deployment is the transition from a single UAV system to a multi-UAV system. Collaboration and coordination of multiple UAVs can build a system that far exceeds the capabilities of a single UAV. However, one of the most important design problems multi- UAV systems face is choosing the right routing protocol which is prerequisite for the co- operation and collaboration among UAVs. In this study, an extensive review of Flying Ad- hoc network (FANET) routing protocols is performed, where their different strategies and routing techniques are thoroughly described. A classification of UAV deployment in agri- culture is conducted resulting in six (6) different applications: Crop Scouting, Crop Survey- ing and Mapping, Crop Insurance, Cultivation Planning and Management, Application of Chemicals,and Geofencing. Finally, a theoretical analysis is performed that suggests which routing protocol can serve better each agriculture application, depending on the mobility models and the agricultural-specific application requirements.
keywords: کشاورزی هوشمند | کشاورزی دقیق | وسایل نقلیه هوایی بدون سرنشین (UAV) | شبکه های ادوک پرنده (FANET) | پروتکل های مسیریابی | مدل های تحرک | smart farming | precision agriculture | unmanned aerial vehicles (UAVs) | flying adhoc networks (FANETs) | routing protocols | mobility models
مقاله انگلیسی
2 Evolving challenges and strategies for fungal control in the food supply chain
چالش ها و استراتژی های در حال کنترل برای کنترل قارچ در زنجیره تامین مواد غذایی-2021
Fungi that spoil foods or infect crops can have major socioeconomic impacts, posing threats to food security. The strategies needed to manage these fungi are evolving, given the growing incidence of fungicide resistance, tightening regulations of chemicals use and market trends imposing new food-preservation challenges. For example, alternative methods for crop protection such as RNA-based fungicides, biocontrol, or stimulation of natural plant defences may lessen concerns like environmental toxicity of chemical fungicides. There is renewed focus on natural product preservatives and fungicides, which can bypass regulations for ‘clean label’ food products. These require investment to find effective, safe activities within complex mixtures such as plant extracts. Alternatively, physical measures may be one key for fungal control, such as polymer materials which passively resist attachment and colonization by fungi. Reducing or replacing traditional chlorine treatments (e.g. of post-harvest produce) is desirable to limit formation of disinfection by-products. In addition, the current growth in lower sugar food products can alter metabolic routing of carbon utilization in spoilage yeasts, with implications for efficacy of food preservatives acting via metabolism. The use of preservative or fungicide combinations, while involving more than one chemical, can reduce total chemicals usage where these act synergistically. Such approaches might also help target different subpopulations within heteroresistant fungal populations. These approaches are discussed in the context of cur- rent challenges for food preservation, focussing on pre-harvest fungal control, fresh pro- duce and stored food preservation. Several strategies show growing potential for mitigating or reversing the risks posed by fungi in the food supply chain.ª 2021 The Author(s). Published by Elsevier Ltd on behalf of British Mycological Society. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). * Corresponding author. E-mail address: Simon.Avery@nottingham.ac.uk (S. V. Avery).1 Authors made equal contributions. https://doi.org/10.1016/j.fbr.2021.01.0031749-4613/ª 2021 The Author(s). Published by Elsevier Ltd on behalf of British Mycological Society. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Agrichemicals | Antimicrobial resistance | Food spoilage | Phytopathogens | Spoilage fungi
مقاله انگلیسی
3 How does traditional knowledge of Cassiae semen shed light on weight management? – A classical and modern literature review
دانش سنتی منی فلوس چگونه مدیریت وزن را روشن می کند؟ - بررسی ادبیات کلاسیک و مدرن-2021
Ethnopharmacological relevance: The seed of Senna obtusifolia (L.) H. S. Irwin & Barneby (Cassiae semen, CS) also known as Jue ming zi in China, has been traditionally used for weight management by purging the liver and improving the liver functions to support digestion. In the past decades, it has been used for hepatoprotection and treatment of overweight and other metabolic disorders such as hyperlipidaemia and diabetes. Aim of the review: This review aimed at providing comprehensive information on the traditional usages, phar- macology, phytochemistry and toxicology of CS and critically exploring its potential usage for clinical weight management from both traditional and modern application perspectives. Materials and methods: In order to fully understand the properties, actions and indications of CS, two sets of Chinese classical texts were searched, namely: Zhong Hua Yi Dian (Encyclopedia of Traditional Chinese Medi- cine) and Zhong Guo Ben Cao Quan Shu (Complete Collection of Traditional Texts on Chinese Materia Medica). The purpose of studying these classical texts was to determine the traditional use of CS in weight management. Comprehensive searches were also performed on seven databases for publications on original randomised clinical trials (RCT), in vivo, in vitro or in silico studies related to pharmacological effects of CS. Detailed information about the phytochemistry of CS was collected from books, encyclopedia, online databases and journal literature. Findings: In classical literature review, 89 classic texts provided information of properties, actions and indications of CS. In modern literature review, 44 studies were included for analysis, including 5 RCTs, 7 in vivo studies, 14 in vitro studies, 2 in silico studies and 16 studies of mixed types. Chinese classic literature has provided traditional evidence of the usage of CS for weight management. Contemporary studies have revealed that CS has weight loss effects and possesses some other pharmacological activities supporting weight management. Some chemical compounds of CS have been hypothesised to have a direct or indirect contribution to weight control. Conclusions: The relationships between chemical compounds and the corresponding weight-loss target proteins are not fully understood. Therefore, CS constituents should be further explored for the development of novel therapeutic or preventive agents for the treatment of overweight and obesity.
keywords: طب سنتی چینی | چاقی | اضافه وزن | ملین | لیپیدها | Traditional Chinese medicine | Senna obtusifolia | Cassia obtusifolia | Cassiae semen | Obesity | Overweight | Laxative | Lipids
مقاله انگلیسی
4 Improved probit models to assess equipment failure caused by domino effect accounting for dynamic and synergistic effects of multiple fires
مدل های پروبیت بهبود یافته برای ارزیابی خرابی تجهیزات ناشی از تاثیر دومینو حسابداری برای اثرات پویا و سینرژیک چندین آتش سوزی-2021
Accidents resulting in industrial fires in chemical and process installations and in industrial parks where relevant quantities of hazardous substances are stored or processed may cause domino effects. Probit models developed and used in a multitude of studies can provide the probability of equipment failure, but they do not consider the effect of multiple radiation sources, and thus fail to capture the effects of severe scenarios as those where multiple fires start at different times in different units. In the present study, a critical thermal dose for equipment failure is defined. A direct procedure for the calculation of ttf based on the critical thermal dose is then introduced, which is able to account for the time at which the different secondary fires start or are extinguished. This allows considering the effects of the primary and of several secondary fire scenarios in causing a domino effect, updating the time to failure on the basis of the dynamic evolution of multiple fire scenarios. The proposed approach is demonstrated through case-studies addressing fire-induced domino effects in an oil storage tank farm.
keywords: مواد شیمیایی | اثرات دومینو | مدل های پروبیت | زمان شکست | Chemical fires | Domino effects | Probit models | Time to failure
مقاله انگلیسی
5 A knowledge graph method for hazardous chemical management: Ontology design and entity identification
یک روش نمودار دانش برای مدیریت مواد شیمیایی خطرناک: طراحی هستی شناسی و شناسایی موجودیت-2021
Hazardous chemicals are widely used in the production activities of the chemical industry. The risk management of hazardous chemicals is critical to the safety of life and property. Hence, the effective risk management of hazardous chemicals has always been important to the chemical industry. Since a large quantity of knowledge and information of hazardous chemicals is stored in isolated databases, it is challenging to manage hazardous chemicals in an information-rich manner. Herein, we prompt a knowledge graph to overcome the information gap between decentralized databases, which would improve the hazardous chemical management. In the implementation of the knowledge graph, we design an ontology schema of hazardous chemicals management. To facilitate enterprises to master the knowledge in the full lifecycle of hazardous chemicals, including production, transportation, storage, etc., we jointly use data from companies and open data from the public domain of hazardous chemicals to construct the knowledge graph. The named entity recognition task is one of the key tasks in the implementation of the knowledge graph, which is of great significance for extracting entity information from unstructured data, namely the hazardous chemical accidents records. To extract useful information from multi-source data, we adopt the pre-trained BERT-CRF model to conduct named entity recognition for incidents records. The model achieves good results, exhibiting the effectiveness in the task of named entity recognition in the chemical industry.
keywords: نمودار دانش | هستی شناسی | مدیریت مواد شیمیایی خطرناک | به رسمیت شناختن نهادها | Knowledge graph | Ontology | Hazardous chemicals management | Named entity recognition
مقاله انگلیسی
6 Experimental and feasibility study of spent coffee grounds upscaling via pyrolysis towards proposing an eco-social innovation circular economy solution
مطالعه تجربی و امکان سنجی قهوه مصرفی که از طریق تجزیه در اثر تجزیه در اثر تجزیه در اثر تجزیه در اثر تجزیه در اثر تجزیه در اثر تجزیه در اثر استفاده از تجزیه در اثر تجزیه و تحلیل مواد شیمیایی ، به منظور ارائه یک راه حل اقتصاد دایره ای نوآوری اقتصادی - اجتماعی-2020
There is a need for eco-social business models in the food waste sector that are more cascading and circular- based, while having economic, environmental and social benefits. The aim of this study is to bring insights and data of spent coffee grounds large-scale slow pyrolysis, to seize new opportunities for eco-innovative solutions in the circular economy, by identifying upcycling opportunities for resource recovery of this waste. First, an experimental study was conducted, and a set of pyrolysis experiments were carried out at a temperature range from 450 to 750 °C, with a heating rate of 50°/s, under helium atmosphere, to explore the products yields and the best process conditions. Second, an economic study was conducted for a standalone pyrolysis plant fueled with the spent coffee grounds streams from coffee shops of a city with 150,000 inhabitants, in central Greece, aiming at the cost and the profitability of the endeavor estimation. The calculations were based on the features of a slow pyrolysis rotary kiln technology designed at Aristotle University, and co-developed with an Irish company, under the funding of an EU LIFE+ project. For an estimated capacity of 2566 t/yr of SCG, the revenue of the endeavor was calculated at 47€/t of SCG. The economic indicators ROI and POT (ROI = 0.24, POT = 2.6), are very Abbreviations: CE, circular economy; FL, food loss; FW, food waste; HHV, higher heating value; LHV, lower heating value; POT, payout time; ROI, return on investment; SCG, spent coffee ground; GC, gas chromatograph.⁎ Corresponding author. E-mail address: azampani@auth.gr (A. Zabaniotou).https://doi.org/10.1016/j.scitotenv.2020.137316 0048-9697/© 2020 Elsevier B.V. All rights reserved. positive, suggesting pyrolysis of SCG as an efficient circular economy management solution, providing an eco- social innovation business in the coffee shop industry, engaging also consumers in the circular economy.‌© 2020 Elsevier B.V. All rights reserved.
Keywords: Circular economy | Food wastes | Spent coffee grounds (SCG) | Pyrolysis: Economic study | Eco-social innovation
مقاله انگلیسی
7 Downstream of the bioreactor: advancements in recovering fuels and commodity chemicals
پایین دست از بیورآکتور: پیشرفت در بازیابی سوخت ها و مواد شیمیایی کالایی-2020
Downstream processing aims at recovering the target product at the required specifications from the bioreactor effluent. Research and development in this field relies on experimental and mathematical tools at the levels of chemical components, unit operations and processes. Recently, advances have been made in addressing the broth mixture complexity early on, in incorporating high-throughput experimentation for data generation and mechanistic understanding of the separation processes, in improving the materials and scalability of specific unit operations, as well as establishing the potential of process integration concepts. Further developments are expected considering the variety of (non-sugar) feedstocks currently under research, the need to transition to renewable energy sources, and the opportunities for improved scale-up through initiatives as Big Data and digital manufacturing
مقاله انگلیسی
8 Prediction of adsorption capacity for pharmaceuticals, personal care products and endocrine disrupting chemicals onto various adsorbent materials
پیش بینی ظرفیت جذب داروها ، محصولات مراقبت شخصی و مواد شیمیایی مختل کننده غدد درون ریز روی مواد مختلف جاذب-2020
Adsorption is a common process used to remove pharmaceuticals, personal care products and endocrine disrupting chemicals (PPCPs/EDCs) from water. However, as PPCPs/EDCs cover a wide range of molecules and chemical structures, prediction of the adsorption capacity is very challenging. In this study, a novel model was developed to predict adsorption isotherms of PPCPs/EDCs onto various types of adsorbents using a combination of Polanyi potential theory, molecular connectivity indices (MCIs) and molecular characteristics. Polanyi theory provided the basic mathematical form for the correlation. MCIs, hydrophobicity and H-bond count were used to normalize the Polanyi equation based on the molecular structure and interactions among the chemicals, the adsorbents, and the solution. In total, adsorption data were collected from 158 reports for 55 PPCPs/EDCs onto 306 different adsorbent materials. The correlation was first trained with 46 PPCPs/EDCs adsorbed onto 162 carbonaceous adsorbents (CAs), with 44.8% SDEV. Then the model was employed to predict 46 PPCPs/EDCs onto 118 other CAs and 9 new PPCPs/EDCs onto 23 CAs in ultrapure water, with error from 42 to 48% SDEV. When applying to noncarbonaceous adsorbents, the models can still predict the adsorption of PPCPs/EDCs with 90.09% SDEV. For the first time, a model, the PD e MCI e hydrophobic e H bond model, was developed to predict adsorption of a wide group of complicated PPCPs/EDCs onto a big variety of carbonaceous and non-carbonaceous adsorbents. The proposed model approach may provide a simple means for predicting adsorption capacities of PPCPs/EDCs onto various adsorbents.
Keywords: Adsorption | Polanyi e Dubinin model | Activated carbon | PPCPs/EDCs | Water treatment
مقاله انگلیسی
9 A deep reinforcement learning approach for chemical production scheduling
یک رویکرد یادگیری تقویتی عمیق برای برنامه ریزی تولید مواد شیمیایی-2020
This work examines applying deep reinforcement learning to a chemical production scheduling process to account for uncertainty and achieve online, dynamic scheduling, and benchmarks the results with a mixed-integer linear programming (MILP) model that schedules each time interval on a receding horizon basis. An industrial example is used as a case study for comparing the differing approaches. Results show that the reinforcement learning method outperforms the naive MILP approaches and is competitive with a shrinking horizon MILP approach in terms of profitability, inventory levels, and customer service. The speed and flexibility of the reinforcement learning system is promising for achieving real-time optimiza- tion of a scheduling system, but there is reason to pursue integration of data-driven deep reinforcement learning methods and model-based mathematical optimization approaches.
Keywords: Machine learning | Reinforcement learning | Optimization | Scheduling | Stochastic programming
مقاله انگلیسی
10 Advanced data mining approaches in the assessment of urinary concentrations of bisphenols, chlorophenols, parabens and benzophenones in Brazilian children and their association to DNA damage
روش های پیشرفته داده کاوی در ارزیابی غلظت ادراری بیس فنول ها، کلروفنل ها، پارابن ها و بنزوفنون ها در کودکان برزیل و ارتباط آنها با آسیب DNA-2018
Human exposure to endocrine disrupting chemicals (EDCs) has received considerable attention over the last three decades. However, little is known about the influence of co-exposure to multiple EDCs on effect-bio markers such as oxidative stress in Brazilian children. In this study, concentrations of 40 EDCs were determined in urine samples collected from 300 Brazilian children of ages 6–14 years and data were analyzed by advanced data mining techniques. Oxidative DNA damage was evaluated from the urinary concentrations of 8-hydroxy-2′- deoxyguanosine (8OHDG). Fourteen EDCs, including bisphenol A (BPA), methyl paraben (MeP), ethyl paraben (EtP), propyl paraben (PrP), 3,4-dihydroxy benzoic acid (3,4-DHB), methyl-protocatechuic acid (OH-MeP), ethyl-protocatechuic acid (OH-EtP), triclosan (TCS), triclocarban (TCC), 2-hydroxy-4-methoxybenzophenone (BP3), 2,4-dihydroxybenzophenone (BP1), bisphenol A bis(2,3-dihydroxypropyl) glycidyl ether (BADGE·2H2O), 2,4-dichlorophenol (2,4-DCP), and 2,5-dichlorophenol (2,5-DCP) were found in > 50% of the urine samples analyzed. The highest geometric mean concentrations were found for MeP (43.1 ng/mL), PrP (3.12 ng/mL), 3,4- DHB (42.2 ng/mL), TCS (8.26 ng/mL), BP3 (3.71 ng/mL), and BP1 (4.85 ng/mL), and exposures to most of which were associated with personal care product (PCP) use. Statistically significant associations were found between urinary concentrations of 8OHDG and BPA, MeP, 3,4-DHB, OH-MeP, OH-EtP, TCS, BP3, 2,4-DCP, and 2,5-DCP. After clustering the data on the basis of i) 14 EDCs (exposure levels), ii) demography (age, gender and geo graphic location), and iii) 8OHDG (effect), two distinct clusters of samples were identified. 8OHDG con centration was the most critical parameter that differentiated the two clusters, followed by OH-EtP. When 8OHDG was removed from the dataset, predictability of exposure variables increased in the order of: OH EtP > OH-MeP > 3,4-DHB > BPA > 2,4-DCP > MeP > TCS > EtP > BP1 > 2,5-DCP. Our results showed that co-exposure to OH-EtP, OH-MeP, 3,4-DHB, BPA, 2,4-DCP, MeP, TCS, EtP, BP1, and 2,5-DCP was associated with DNA damage in children. This is the first study to report exposure of Brazilian children to a wide range of EDCs and the data mining approach further strengthened our findings of chemical co-exposures and biomarkers of effect.
Keywords: Endocrine disrupting chemicals ، Human co-exposure ، Children ، Data mining ، Oxidative stress
مقاله انگلیسی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 8310 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 8310 :::::::: افراد آنلاین: 60