Assessment of Protective Clothing Used by Chemical Industry Workers in Pakistan

Protective clothing serves as a barrier against many hazards faced by workers in the industry. This study aimed to investigate the performance of locally manufactured clothing used by workers in the chemical industries in Pakistan. The construction parameters were determined using international test procedures for all samples. Then, these were assessed for their chemical resistance behavior after various laundering intervals, following the ISO 6530:2005 test method. After the investigation, it was observed that the collected samples failed to meet the minimum criteria for penetration and repellency through their structure. The samples were unable to repel a minimum of 95% liquid chemical and penetrated it more than 5%, even at zero wash. These conditions worsened with each washing interval. Clothing materials should always be checked for their performance before use to protect workers at workplace

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42, 400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences. © 2021, The Author(s)

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

AbstractLarge datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.</jats:p

Valorization of a biomass: phytochemicals in oilseed by-products

A huge amount of residue is released every year in agricultural and food industries. If this waste is valorised properly, it would be very beneficial from both economic and environmental aspects. Recently, seeds of oil crops have been getting great interest due to their waste rich in a great variety of lipophilic and hydrophilic phytochemicals. On the other hand, oilseed processing by-products comprise approximately 35 millions of tons seed for oil in European Union. Therefore, this remarkable amount of residue should be considered as a resource from waste to health. The purpose of the present research is to introduce the types of oilseed by-product and their high added value phytochemicals by summarizing the recent studies on the valorization of different wastes of several oilseed crops. This research also supplies an overview of the oilseed sources with their botanical names, production regions and target phytochemical ingredients. Moreover, further remarks with some certain concerns are discussed