Performing inference on pre-trained neural network models must meet the requirement of low-latency, which is often at odds with achieving high throughput. Existing deep learning systems use batching to improve throughput, which do not perform well when serving Recurrent Neural Networks with dynamic dataflow graphs. We propose the technique of cellular batching, which improves both the latency a...

to answer challenge of targeted and controlled drug release in oral delivery various materials were studied by different methods. in the present paper, controlled metal based drug (pd(ii) complex) release manner of β‑lactoglobulin (β-lg) nanoparticles was investigated using mathematical drug release model in order to design and production of a new oral drug delivery system for gastrointestinal ...

We study the problem of computing batched shortest paths in road networks efficiently. Our focus is on computing paths from a single source to multiple targets (one-to-many queries). We perform a comprehensive experimental comparison of several approaches, including new ones. We conclude that a new extension of PHAST (a recent one-to-all algorithm), called RPHAST, has the best performance in mo...

the purpose of this project was to conduct a thorough evaluation of mental health services delivery system as an important part of helath services delivery system. as an important part of health services delivery system. for this purpose, 266 health workers (behavarses) and health houses, 91 gps and rural health centers, 923 persons who refered to private and other psychiatric centers, and 737 ...

in the long-term management of ulcerative colitis patients, repeat dosing maybe required. since 5-asa is largely absorbed from the upper intestine, selective delivery of drugs into the colon may be regarded as a better method of drug delivery with fewer side effects and a higher efficacy. the aim of this study was to prepare and evaluate a double coated multiparticulate system for 5-asa deliver...

Data sets in large applications are often too massive to fit completely inside the computer’s internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. In this work we survey the state of the art in the design and analysis of algorithms and data structures for external memory ...

Most infectious diseases are caused by pathogenic infiltrations from the mucosal tract. Nowadays, the use of vaccines has been widely investigated for the prevention of different infectious diseases, infertility, immune disorders, malignancies, and allergies. Broad-spectrum adjuvant substances have been studied for immune system stimulation with a greater efficiency against specific antigens. V...

Processing large amounts of data, especially in learning algorithms, poses a challenge for current embedded computing systems. Hyperdimensional (HD) (HDC) is brain-inspired paradigm that works with high-dimensional vectors called hypervectors . HDC replaces several complex computations bitwise and simpler arithmetic operations at the expense an increased amount data due to mapping into space. T...

Content distribution is one of the most popular applications in intelligent transportation system to assist vehicles in acquiring information and achieving mobile entertainment. In this paper, we consider content distribution from a single roadside infrastructure to a group of vehicles passing by it. To combat the short connection time and the lossy channel, the downloaded contents need to be f...