Fidelity Systems (United States)

The machine learning algorithms are useful in obtaining suitable data related to customer lifetime value for the banking professionals. The banking officials utilise the Customer lifetime value for fostering suitable business strategies to enhance customer satisfaction in this competitive market. This present study include knowledge regarding machine learning model inclusion to predict customer lifetime values in taking services as well as analysing customer motivation for a banking sector. Inclusion of ML is also effective to handle customer insight in managing business profitability in managing overall business operational activity maintenance. This research has summarised the importance of machine learning model in predicting CLV to Mint and business performance of banks.

Abstract Creating Undergraduate Applied Research Opportunities for Engineering Technology Students in Healthcare RoboticsAccording to the Council on Undergraduate Research (CUR), undergraduate research is aninquiry or investigation conducted by an undergraduate student that makes an originalintellectual or creative contribution. If there is a consensus that all undergraduate education canbe enhanced by research opportunities, then it is especially so for engineering technology (ET)majors whose programs are designed to balance theory with practice. While experts agree thatundergraduate research should be incorporated into the curriculum because it enhances studentengagement, recruitment and retention, there is a difference of opinion as to whether anundergraduate research (UR) project should be conceived by student-faculty interest with somereal-world application in mind, or be driven by a real-world need from the start. (Berri et. al.2012). The need to fund UR projects in some way – to obtain necessary equipment, buy outfaculty time, and support undergraduates who participate -- makes real-world drivers particularlycompelling.This paper details how collaborative efforts with entrepreneurs can be made to catalyze researchwhile making it possible to seek external funding from government and non-government entities.As a case in point, the paper will document the early stage of an exciting project that is designedto inexpensively enhance eldercare, the demand for which is skyrocketing in today’s agingsociety, using robotic platforms. This project addresses a real-world need while providingstudents the opportunity to make an “original intellectual or creative contribution,” having all theelements that that drive quality research and attract faculty, student, and entrepreneurial interestalike. It is motivated by the need to control home healthcare costs, improve the quality of life foran aging population and their caregivers, allow patients to be more involved in their own care,help prevent premature hospitalization or long stays in assisted living facilities, and provide anavenue for social engagement through a conversational interface using socially assistive robots(SAR). It expounds on efforts to create a research infrastructure through research andcollaborative grant writing.

Modern databases of small organic molecules contain tens of millions of structures. The size of theoretically available chemistry is even larger. However, despite the large amount of chemical information, the "big data" moment for chemistry has not yet provided the corresponding payoff of cheaper computer-predicted medicine or robust machine-learning models for the determination of efficacy and toxicity. Here, we present a study of the diversity of chemical datasets using a measure that is commonly used in socioeconomic studies. We demonstrate the use of this diversity measure on several datasets that were constructed to contain various congeneric subsets of molecules as well as randomly selected molecules. We also apply our method to a number of well-known databases that are frequently used for structure-activity relationship modeling. Our results show the poor diversity of the common sources of potential lead compounds compared to actual known drugs. © 2016 Wiley Periodicals, Inc.

Enzymes from (hyper)thermophiles “Thermozymes” offer a great potential for biotechnological applications. Thermophilic adaptation does not only provide stability toward high temperature but is also often accompanied by a higher resistance to other harsh physicochemical conditions, which are also frequently employed in industrial processes, such as the presence of, e.g., denaturing agents as well as low or high pH of the medium. In order to find new thermostable, xylan degrading hydrolases with potential for biotechnological application we used an in situ enrichment strategy incubating Hungate tubes with xylan as the energy substrate in a hot vent located in the tidal zone of Kunashir Island (Kuril archipelago). Using this approach a hyperthermophilic euryarchaeon, designated Thermococcus sp. strain 2319x1, growing on xylan as sole energy and carbon source was isolated. The organism grows optimally at 85°C and pH 7.0 on a variety of natural polysaccharides including xylan, carboxymethyl cellulose (CMC), amorphous cellulose (AMC), xyloglucan, and chitin. The protein fraction extracted from the cells surface with Tween 80 exhibited endoxylanase, endoglucanase and xyloglucanase activities. The genome of Thermococcus sp. strain 2319x1 was sequenced and assembled into one circular chromosome. Within the newly sequenced genome, a gene, encoding a novel type of glycosidase (143 kDa) with a unique five-domain structure, was identified. It consists of three glycoside hydrolase (GH) domains and two carbohydrate-binding modules (CBM) with the domain order GH5-12-12-CBM2-2 (N- to C-terminal direction). The full length protein, as well as truncated versions, were heterologously expressed in Escherichia coli and their activity was analyzed. The full length multidomain glycosidase (MDG) was able to hydrolyze various polysaccharides, with the highest activity for barley β-glucan (β- 1,3/1,4-glucoside), followed by that for CMC (β-1,4-glucoside), cellooligosaccharides and galactomannan. The results reported here indicate that the modular MDG structure with multiple glycosidase and carbohydrate-binding domains not only extends the substrate spectrum, but also seems to allow the degradation of partially soluble and insoluble polymers in a processive manner. This report highlights the great potential in a multi-pronged approach consisting of a combined in situ enrichment, (comparative) genomics, and biochemistry strategy for the screening for novel enzymes of biotechnological relevance.

Double-stranded oligodeoxyribonucleotides with engineered disulfide units were successfully used for covalent trapping of cysteine containing proteins. In particular, an efficient cross-linking of NF-kappaB p50 homodimer to a sequence-specific decoy was demonstrated. The results suggest that the synthetic oligonucleotides bearing a novel 2'-disulfide trapping site can be used as new tools to study and manipulate biological systems.

In lower-limb prosthesis, the most important aspect is the adequate design and fit of the socket which serves as an interface between the residual limb and the prosthesis. Optimal socket design requires the knowledge of the external shape of the limb, the bone position, and the mechanical properties of the limb tissue. Using the current plaster casting methods, only the external shape of the limb can be acquired. In this paper, we describe methods to obtain the internal structural information as well as the external shape of a limb using ultrasound compound B-scan imaging technique. The methods can be eventually used to develop a complete CAD/CAM system for lower-limb prosthesis.

We have determined the complete 1,694,969-nt sequence of the GC-rich genome of Methanopyrus kandleri by using a whole direct genome sequencing approach. This approach is based on unlinking of genomic DNA with the ThermoFidelase version of M. kandleri topoisomerase V and cycle sequencing directed by 2'-modified oligonucleotides (Fimers). Sequencing redundancy (3.3x) was sufficient to assemble the genome with less than one error per 40 kb. Using a combination of sequence database searches and coding potential prediction, 1,692 protein-coding genes and 39 genes for structural RNAs were identified. M. kandleri proteins show an unusually high content of negatively charged amino acids, which might be an adaptation to the high intracellular salinity. Previous phylogenetic analysis of 16S RNA suggested that M. kandleri belonged to a very deep branch, close to the root of the archaeal tree. However, genome comparisons indicate that, in both trees constructed using concatenated alignments of ribosomal proteins and trees based on gene content, M. kandleri consistently groups with other archaeal methanogens. M. kandleri shares the set of genes implicated in methanogenesis and, in part, its operon organization with Methanococcus jannaschii and Methanothermobacter thermoautotrophicum. These findings indicate that archaeal methanogens are monophyletic. A distinctive feature of M. kandleri is the paucity of proteins involved in signaling and regulation of gene expression. Also, M. kandleri appears to have fewer genes acquired via lateral transfer than other archaea. These features might reflect the extreme habitat of this organism.

The use of phosphoramidites bearing one or more methoxyoxalamido (MOX) or succinimido (SUC) reactive groups for construction of functionalized oligo-nucleotides is described. The efficiency of the new precursor strategy was demonstrated in the synthesis of oligonucleotide containing up to 16 imidazole residues.

Guest Editors' Introduction D. Barbara, et al. Using Signature Techniques for Information Filtering in Wireless and Mobile Environments Wang-Chien Lee, Dik Lun Lee. Exotica/FMDC: A Workflow Management Systems for Mobile and Disconnected Clients G. Alonso, et al. Supporting Mobile Database Access Through Query by Icons A. Massari, et al. A Mobility-Aware Dynamic Database Caching Scheme for Wireless Mobile Computing and Communications G. Y Liuy, G.Q. Maguire, Jr.