scholarly journals Looking for Options to Sustainably Fixate Nitrogen. Are Molecular Metal Oxides Catalysts a Viable Avenue?

2021 ◽  
Vol 9 ◽  
Author(s):  
Rebeca González-Cabaleiro ◽  
Jake A. Thompson ◽  
Laia Vilà-Nadal
Keyword(s):  
Metal Oxides ◽  
Carbon Dioxide Emissions ◽  
Triple Bond ◽  
Industrial Process ◽  
Modern Society ◽  
Small Scale ◽  
Scale Production ◽  
Ammonia Production ◽  
Force System ◽  
Bosch Process

Fast and reliable industrial production of ammonia (NH3) is fundamentally sustaining modern society. Since the early 20th Century, NH3 has been synthesized via the Haber–Bosch process, running at conditions of around 350–500°C and 100–200 times atmospheric pressure (15–20 MPa). Industrial ammonia production is currently the most energy-demanding chemical process worldwide and contributes up to 3% to the global carbon dioxide emissions. Therefore, the development of more energy-efficient pathways for ammonia production is an attractive proposition. Over the past 20 years, scientists have imagined the possibility of developing a milder synthesis of ammonia by mimicking the nitrogenase enzyme, which fixes nitrogen from the air at ambient temperatures and pressures to feed leguminous plants. To do this, we propose the use of highly reconfigurable molecular metal oxides or polyoxometalates (POMs). Our proposal is an informed design of the polyoxometalate after exploring the catabolic pathways that cyanobacteria use to fix N2 in nature, which are a different route than the one followed by the Haber–Bosch process. Meanwhile, the industrial process is a “brute force” system towards breaking the triple bond N-N, needing high pressure and high temperature to increase the rate of reaction, nature first links the protons to the N2 to later easier breaking of the triple bond at environmental temperature and pressure. Computational chemistry data on the stability of different polyoxometalates will guide us to decide the best design for a catalyst. Testing different functionalized molecular metal oxides as ammonia catalysts laboratory conditions will allow for a sustainable reactor design of small-scale production.

AGRICULTURAL PRODUCTION OF CA DONG PEOPLE IN RESETTLEMENT AREA OF TRANH RIVER HYDROPOWER NUMBER 2: CURRENT SITUATION AND IMPACT FACTORS

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Bùi Thị Bích Lan
Keyword(s):  
Social Relations ◽  
Agricultural Production ◽  
Large Scale ◽  
Transition Process ◽  
Impact Factors ◽  
Small Scale ◽  
Scale Production ◽  
Technical Application ◽  
Production Models ◽  
Role Of The State

In Vietnam, the construction of hydropower projects has contributed significantly in the cause of industrialization and modernization of the country. The place where hydropower projects are built is mostly inhabited by ethnic minorities - communities that rely primarily on land, a very important source of livelihood security. In the context of the lack of common productive land in resettlement areas, the orientation for agricultural production is to promote indigenous knowledge combined with increasing scientific and technical application; shifting from small-scale production practices to large-scale commodity production. However, the research results of this article show that many obstacles in the transition process are being posed such as limitations on natural resources, traditional production thinking or the suitability and effectiveness of scientific - technical application models. When agricultural production does not ensure food security, a number of implications for people’s lives are increasingly evident, such as poverty, preserving cultural identity, social relations and resource protection. Since then, it has set the role of the State in researching and building appropriate agricultural production models to exploit local strengths and ensure sustainability.

Study of Diabetic Mellitus and Knowledge of Lotion Foot Care on the Community

2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Hariyadi DM ◽  
Athiyah U ◽  
Hendradi E ◽  
Rosita N ◽  
Erawati T ◽  
...  
Keyword(s):  
Blood Glucose ◽  
T Test ◽  
Small Scale ◽  
Scale Production ◽  
Foot Care ◽  
Diabetic Mellitus ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Before And After ◽  
History Of

The prevention of Diabetic Mellitus (DM) and its complications is the main aim of this study, in addition to the training of lotion foot care application and the development of small scale industry. The research team delivered knowledge in the form of training on Diabetic Mellitus, healthy food, treatment and prevention of complications, and small-scale production of cosmetic products. The aim of this study was to determine the correlation between training on diabetic and lotion foot care application as preventive measures against diabetic complications on the patient's blood glucose levels in the community of residents in Banyuurip Jaya, Surabaya. It was expected from this training that the knowledge of the residents increases and people living with diabetic undergo lifestyle changes and therefore blood sugar levels can be controlled. The parameters measured in this research were blood glucose levels, the anti diabetic drug types consumed, and compliance on diabetics. This study used the data taken from 60 patients with DM over a period of one month. Questionnaires and log books was used to retrieve data and changes in blood glucose levels in diabetic patients. The results showed the demographic data of patients with type 2 diabetic of 85% female and 15% male, with the range of patients aged of 61-70 years of 46.67% and had history of diabetic (90%). The history of drugs consumed by respondents was anti diabetic drugs such as metformin (40%), glimepiride (33.37%) and insulin (6.67%). In addition, the increased knowledge of DM patients after being given the training compared to before training was shown in several questions in the questionnaire. A statistical analysis using t-test analyzed a correlation between training provided in order to enhance understanding of the patient, as well as correlation with blood glucose levels. A paired T-test showed that there was a relationship between the knowledge of trainees before and after training (p less than 0.05). An interesting result was that there was no relationship between blood glucose levels before and after training provided (p> 0.05).

Small-Scale Biomass Gasification for Green Ammonia Production in Portugal: A Techno-Economic Study

2021 ◽  
Author(s):  
João Sousa Cardoso ◽  
Valter Silva ◽  
José Antonio Mayoral Chavando ◽  
Daniela Eusébio ◽  
Matthew J. Hall ◽  
...  
Keyword(s):  
Biomass Gasification ◽  
Small Scale ◽  
Ammonia Production ◽  
Economic Study

scholarly journals Technical basis for the small-scale production of black soldier fly, Hermetia illucens (L. 1758), meal as fish feed in Benin

2021 ◽  
Vol 4 ◽  
pp. 100153
Author(s):  
Armel Gougbedji ◽  
Pamphile Agbohessou ◽  
Philippe A. Lalèyè ◽  
Frédéric Francis ◽  
Rudy Caparros Megido
Keyword(s):  
Small Scale ◽  
Fish Feed ◽  
Scale Production ◽  
Black Soldier Fly ◽  
Hermetia Illucens ◽  
Technical Basis

Environmental assessment of small-scale production of wood chips as a fuel for residential heating boilers

2014 ◽  
Vol 62 ◽  
pp. 106-115 ◽  
Author(s):  
Bernat Esteban ◽  
Jordi-Roger Riba ◽  
Grau Baquero ◽  
Rita Puig ◽  
Antoni Rius
Keyword(s):  
Environmental Assessment ◽  
Wood Chips ◽  
Small Scale ◽  
Scale Production ◽  
Residential Heating

scholarly journals Challenges of Big Data analysis

2014 ◽  
Vol 1 (2) ◽  
pp. 293-314 ◽  
Author(s):  
Jianqing Fan ◽  
Fang Han ◽  
Han Liu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Measurement Errors ◽  
Modern Society ◽  
Big Data Analysis ◽  
Small Scale ◽  
Paradigm Change ◽  
Statistical Inferences ◽  
The One ◽  
And Storage

Abstract Big Data bring new opportunities to modern society and challenges to data scientists. On the one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation, incidental endogeneity and measurement errors. These challenges are distinguished and require new computational and statistical paradigm. This paper gives overviews on the salient features of Big Data and how these features impact on paradigm change on statistical and computational methods as well as computing architectures. We also provide various new perspectives on the Big Data analysis and computation. In particular, we emphasize on the viability of the sparsest solution in high-confidence set and point out that exogenous assumptions in most statistical methods for Big Data cannot be validated due to incidental endogeneity. They can lead to wrong statistical inferences and consequently wrong scientific conclusions.

scholarly journals Fabrication Techniques for Graphene Oxide-Based Molecular Separation Membranes: Towards Industrial Application

Nanomaterials ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 757
Author(s):  
Ohchan Kwon ◽  
Yunkyu Choi ◽  
Eunji Choi ◽  
Minsu Kim ◽  
Yun Chul Woo ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Large Scale ◽  
Spray Coating ◽  
Dip Coating ◽  
Small Scale ◽  
Scale Production ◽  
Separation Membranes ◽  
Current Review ◽  
Slot Die ◽  
Continuous Fabrication

Graphene oxide (GO) has been a prized material for fabricating separation membranes due to its immense potential and unique chemistry. Despite the academic focus on GO, the adoption of GO membranes in industry remains elusive. One of the challenges at hand for commercializing GO membranes lies with large-scale production techniques. Fortunately, emerging studies have acknowledged this issue, where many have aimed to deliver insights into scalable approaches showing potential to be employed in the commercial domain. The current review highlights eight physical methods for GO membrane fabrication. Based on batch-unit or continuous fabrication, we have further classified the techniques into five small-scale (vacuum filtration, pressure-assisted filtration, spin coating, dip coating, drop-casting) and three large-scale (spray coating, bar/doctor blade coating, slot die coating) approaches. The continuous nature of the large-scale approach implies that the GO membranes prepared by this method are less restricted by the equipment’s dimensions but rather the availability of the material, whereas membranes yielded by small-scale methods are predominately limited by the size of the fabrication device. The current review aims to serve as an initial reference to provide a technical overview of preparing GO membranes. We further aim to shift the focus of the audience towards scalable processes and their prospect, which will facilitate the commercialization of GO membranes.

A METHOD FOR PREPARING 4,4'-DIAMINODIPHENYL ETHER AND 4,4'-DIAMINODIPHENYL ETHER OF RESORCINOL IN THE CONDITIONS OF SMALL-SCALE PRODUCTION

2019 ◽  
pp. 14-27
Author(s):  
Galina Mikhailovna Komissarova ◽  
Eduard Leonidovich Belyaev ◽  
Mikhail Kirillovich Smirnov ◽  
Lyudmila Alekseevna Sokhadze ◽  
Vitaliy Valer'yevich Turygin ◽  
...  
Keyword(s):  
Small Scale ◽  
Scale Production

DYNAMIC MODEL OF COMBINED AGGREGATION OF ADDITIVE MANUFACTURING PROCESS

2021 ◽  
Author(s):  
A. V. Vinnichenko ◽  
Keyword(s):  
Mathematical Modeling ◽  
Additive Manufacturing ◽  
Process Model ◽  
Additive Technologies ◽  
Additive Models ◽  
Small Scale ◽  
Scale Production ◽  
Flexible Production ◽  
Optimization Criteria ◽  
Production Resources

The paper presents methods and approaches for mathematical modeling and rationalization of flexible additive manufacturing, as well as other processes by which it is possible to create additive models for their integration into the system of experimental or pilot production. The work has also formed and synthesized a process model, which includes flexible production indicators, service indicators, and a developed criterion base for their assessment. The work takes into account the optimization criteria, as well as maximizing and minimizing risks for additive manufacturing, taking into account the possible risk component when deploying new processes for experimental and small-scale production. The models and methods described in the article will make it possible to carry out mathematical modeling and subsequent improvements for the flexible production process using additive technologies, used as a means of achieving the rational use of existing production resources within the framework of existing scientific and production complexes.

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