Photocatalytic roads: from lab tests to real scale applications

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimizing Traffic Enforcement: From the Lab to the Roads

Road accidents are the leading causes of death of youths and young adults worldwide. Efficient traffic enforcement has been conclusively shown to reduce high-risk driving behaviors and thus reduce accidents. Today, traffic police departments use simplified methods for their resource allocation (heuristics, accident hotspots, etc.). To address this potential shortcoming, in [23], we introduced a...

متن کامل

Catalytic nucleic acids: from lab to applications.

Since the discovery of self-cleavage and ligation activity of the group I intron, the expansion of research interest in catalytic nucleic acids has provided a valuable nonprotein resource for manipulating biomolecules. Although a multitude of reactions can be enhanced by this class of catalyst, including trans-splicing activity of the group I intron (which could be applied to gene correction), ...

متن کامل

Microvolume TOC Analysis as Useful Tool in the Evaluation of Lab Scale Photocatalytic Processes

Analysis methods that require small volumes of aqueous samples can be of large benefit for applications when expensive chemicals are involved or available volumes are substantially small and concentrations are low. A new method is presented to allow microvolume liquid injections on TOC equipment using a special designed Shimadzu gas injection kit in combination with a high precision syringe and...

متن کامل

Temporal Convolutional Neural Networks for Diagnosis from Lab Tests

Early diagnosis of treatable diseases is essential for improving healthcare, and many diseases’ onsets are predictable from annual lab tests and their temporal trends. We introduce a multi-resolution convolutional neural network for early detection of multiple diseases from irregularly measured sparse lab values. Our novel architecture takes as input both an imputed version of the data and a bi...

متن کامل

Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests

Disparate areas of machine learning have benefited from models that can take raw data with little preprocessing as input and learn rich representations of that raw data in order to perform well on a given prediction task. We evaluate this approach in healthcare by using longitudinal measurements of lab tests, one of the more raw signals of a patient’s health state widely available in clinical d...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: European Transport Research Review

سال: 2012

ISSN: 1867-0717,1866-8887

DOI: 10.1007/s12544-012-0085-6