We investigate asymmetry in corpus-derived and human word associations. Most prior work has studied paradigmatic relations, either derived from free association norms or from large corpora using measures of statistical association and semantic relatedness. By contrast, we investigate the syntagmatic relation between words in adjective-noun and noun-noun combinations and present a new experiment...

Reducing barriers to self-monitoring of blood glucose (SMBG) remains an ongoing goal. One major reported barrier is lancing pain. This analysis was written in response to the article by Kocher and associates in this issue of Journal of Diabetes Science and Technology in which 157 patients with diabetes experienced in the use of SMBG compared high market share blood glucose monitoring systems an...

Estimating the pose of objects from range data is a prob-lem of considerable practical importance for many visionapplications. This paper presents an approach for accu-rate and efficient 3D pose estimation from 2.5D range im-ages. Initialized with an approximate pose estimate, theproposed approach refines it so that it accurately accountsfor a sensed range image. This is...

INTRODUCTION Bubble formation in insulin pump giving sets is a common problem. We studied change in temperature, change in atmospheric pressure, and vibration as potential mechanisms of bubble formation. METHODS 5 Animas 2020 pumps with 2 mL cartridges and Inset II infusion systems, 5 Medtronic Paradigm pumps with 1.8 mL cartridge and Quickset and 3 Roche Accu-chek pumps with 3.15 mL cartridg...

Feature extract ion is a proficient method for reducing dimensions in the analysis and prediction of cancer classification. Microarray procedure has shown great importance in fetching informat ive genes th at needs enhancement in diagnosis. Microarray data is a challenging task due to high dimensional-low sample dataset with a lot of noisy or irrelevant genes and missing data. In this paper, a ...

Deep learning algorithms base their success on building high learning capacity models with millions of parameters that are tuned in a data-driven fashion. These models are trained by processing millions of examples, so that the development of more accurate algorithms is usually limited by the throughput of the computing devices on which they are trained. In this work, we explore how the trainin...

Penelitian ini bertujuan untuk membuat inovasi alat pengambil sampel air berdasarkan kedalaman yang berbeda dengan menggunakan pompa submersible pump. Submersible pump digunakan adalah Diesel Pump Operation Instruction DC 24V kapasitas 12 L/menit, cara kerja yaitu, mengisap di dasar perairan dan mendorong ke atas, sehingga hasilnya bisa ditampung. Pompa dipasang dalam pipa PVC 11/4inc kemudian ...

BACKGROUND The first satellite center to offer interventional radiology procedures at Memorial Sloan Kettering Cancer Center opened in October 2014. Two of the procedures offered, fine needle aspirations and core biopsies, required a rapid on-site cytologic evaluation of smears and biopsy touch imprints for cellular content and adequacy. The volume and frequency of such evaluations did not just...

Wilayah RT 03, RW Kelurahan Tambakrejo, Kecamatan Simokerto, Kota Surabaya merupakan salah satu yang aktif dalam mengembangkan lingkungannya. Terletak di Jalan Tambak Segaran IV dengan jumlah penduduk padat dan lebar jalan relatif sempit ±2m. Salah cara pengembangan lingkungan adalah budidaya tanaman hidroponik. Instalasi hidroponik hampir ada setiap depan rumah warga. Untuk perawatan membutuhk...

Complaint handling system used by financial companies are handled live agents these days, there’s a need to move from which automatically handles the complaints increase efficiency & save cost time. We planning develop an automatic complaint classification that deals with customer segregating data routing it right department. using Natural Language Processing (NLP), Artificial Intelligence (AI)...