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Learning Acoustic Features From Speech Data Using Conncetionist Networks
A method for learning phonetic features from speech data using connectionist networks is described. A temporal flow model is introduced in which sampled speech data flows through a parallel network from input to output units. The network uses hidden units with recurrent links to capture spectral/temporal characteristics of phonetic features. A supervised learning algorithm is presented which performs gradient descent in weight space using a coarse approximation of the desired output as an target function.A simple connectionist network with recurrent links was trained on a single instance of the word pair "no" and "go" represented as fine timescale filterbank channel energies, and successfully learned to discriminate the word pair. The trained network also correctly separated 98% of 25other tokens of each word by the same speaker. The same experiment for a second speaker resulted in 100% correct discrimination. The discrimination task was performed without segmentation of the input, and without a direct comparison of the two items.A second experiment designed to extended the use of this model to discrimination of voiced stop consonants in various vowel contexts is described.Preliminary results are described in which the network was optimized using a second-order method and learned to correctly classify the voiced stops.The results of these experiments show that connectionist networks can be designed and trained to learn phonetic features from minimal word pairs
Dietary alterations modulate the microRNA 29/30 and IGF-1/AKT signaling axis in breast Cancer liver metastasis.
Background: Metastatic cancer is incurable and understanding the molecular underpinnings is crucial to improving survival for our patients. The IGF-1/Akt signaling pathway is often impaired in cancer leading to its progression and metastases. Diet modification is known to alter the IGF-1/Akt pathway and affect the expression of microRNA involved in tumor initiation, growth and metastases. Liver metastases are one of the most common type of metastases in breast and colon cancer. In the present study, we looked at the effect of diet modification on the expression of microRNA in normal liver and liver with breast cancer metastases using in vivo model.
Methodology: 6-month-old C57BL/6 J mice were put on either an ad libitum (AL) diet, or 40% calorie restricted (CR) diet or were fasted for 24 h (FA) before sacrifice. MicroRNA array analysis, western blot and qRT-PCR were performed using liver tissue to compare the treatment groups. A breast cancer model was also used to study the changes in microRNA expression in liver of a group of BALB/c mice orthotopically injected with 4 T1 cells in the mammary fat pad, put on either an AL or 30% CR diet. Liver and primary tumor tissues were used to perform qRT-PCR to compare the treatment groups.
Results: MicroRNA array analysis showed significant changes in miRNA expression in both CR and FA conditions in normal liver. Expression of miR-29 and miR-30 family members was increased in both CR and FA. Western blot analysis of the normal liver tissue showed that CR and FA downregulated the IGF-1/Akt pathway and qRT-PCR showed that the expression of miR-29b, miR-29c, miR-30a and miR-30b were increased with CR and FA. Liver tissue collected from mice in the breast cancer model showed an increase in expression of miR-29b, miR-29c and miR-30b while tumor tissue showed increased expression of miR-29c, miR-30a and miR-30b.
Discussion: Members of the miR-29 family are known to target and suppress IGF-1, while members of the miR-30 family are known to target and suppress both IGF-1 and IGF-1R. In the present study, we observe that calorie restriction increased the expression of miR-29 and miR-30 in both the normal liver as well as the liver with breast cancer metastases. These findings suggest that dietary alterations may play a role in the treatment of liver metastasis, which should be evaluated further
On Logistics Management for Prosumer Business Information System Development and Implementation
Managing prosumer businesses is challenging with different types of renewable and non-renewable energy resources. The development and implementation of energy systems pose additional challenges when prosumers pursue sustainable production while simultaneously trying to mitigate gas emissions and energy losses. Issues associated with energy emissions and supply shortfalls must be addressed before developing prosumer business information systems and reaping their benefits. Innovative IS (Information System) solutions are needed to align different energy systems and prosumer coalitions that require cautious implementations. The purpose of the research is to develop IS artefacts, strategizing energy systems, establishing essential logistics requirements for smart-grids to ensure sustainable energy supplies. A conceptual Prosumer Business-based Design Science Information System (PBDSIS) framework is developed, collaborating IS articulations of prosumer business data artefacts in ecologies, where energy production and distribution need crucial logistics support and implementation of IS artefacts. The framework is implemented in prosumer business domain using open-source data
The Information Content of Commercial Paper Rating Downgrades: Further Evidence
Nayar received financial support from the Noble Foundation, and the Cooksey and Laird Programs. Both authors also thank the University of Oklahoma Research Council for other financial assistance. Comments from William Kross, Byung Ro, Mike Rozeff, Gregory Waymire, and participants at the University of Oklahoma Accounting and Finance Joint Workshop are appreciated. Eli Bartov (referee) helped to focus and strengthen the paper considerably. Stephanie Farewell, Giri Iyer, Alex Lee, Lori Mason, Karen Nunez, and Scott Whisenant provided valuable research assistance. Address correspondence to the authors at Michael F. Price College of Business, Adams Hall, University of Oklahoma, Norman, OK 73019–0450, Tel: (405) 325–5591.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline
Information System Guided Supply Chains and their Visual Analytics in Integrated Project Management
From a digital ecosystem perspective, sustainability is a manifestation of a composite entity with multiple data attribute dimensions. The data relationships may emerge between geographically distributed supply chain management ecosystems and their linked human, economic and environment ecologies. The ecosystems may exhibit inherent connections and interactions. For making connections more resilient, we characterize models that serve multiple industries through numerous data associations, even in Big Data scales. In the context of Integrated Project Management (IPM), the knowledge of boundaries between systems is mysterious, analysing diverse ecosystems through a sustainable framework can uncover new insights of inherent connections. The purpose of this research is to develop a holistic information system approach, in which multidimensional data and their connectivity are analysed, recognizing the ontological cogency, uniqueness of ecosystems and their data sources. The research outcome has facilitated the tactical development of strategies for ameliorating the sustainability challenges in the IPM contexts
Relevance Judgment Convergence Degree – A Measure of Inconsistency among Assessors for Information Retrieval
Relevance judgment of human assessors is inherently subjective and dynamic when evaluation datasets are created for Information Retrieval (IR) systems. However, a small group of experts’ relevance judgment results are usually taken as ground truth to “objectively” evaluate the performance of the IR systems. Recent trends intend to employ a group of judges, such as outsourcing, to alleviate the potentially biased judgment results stemmed from using only a single expert’s judgment. Nevertheless, different judges may have different opinions and may not agree with each other, and the inconsistency in human relevance judgment may affect the IR system evaluation results. In this research, we introduce a Relevance Judgment Convergence Degree (RJCD) to measure the quality of queries in the evaluation datasets. Experimental results reveal a strong correlation coefficient between the proposed RJCD score and the performance differences between the two IR systems
Inkjet printed GPS antenna on a 3D printed substrate using low-cost machines
Additive manufacturing (AM), also known as 3D printing, is a process of fabricating a 3D digital design by printing layer after layer. 3D printing has advanced very rapidly in recent years and has become an alternative to traditional manufacture methods for customized objects. Originally intended for the prototyping of mechanical objects, this technique has expanded into different areas such as biomedical [1] and electronics [2]. Within electronics, antennas and microwave engineering can greatly benefit from this technology. Researchers have already demonstrated the potential applicability of 3D printing in this field. Light weight waveguides have been fabricated by copper plating plastics forms [3]. Substrates for antenna applications have been modified and new properties have been found with the assistance of additive manufacturing [4]. Novel frequency selective structures (FSS) have been developed by fully [5] and partially [6] metalizing 3D printed elements. Non-uniform electromagnetic band gap structures have been fabricated on printed substrates [7]. Antennas have been placed onto wearables and tested on 3D printed phantoms [8]–[9]. Fig. 1
Dissecting Galaxies: Separating Star Formation, Shock Excitation and AGN Activity in the Central Region of NGC 613
The most rapidly evolving regions of galaxies often display complex optical
spectra with emission lines excited by massive stars, shocks and accretion onto
supermassive black holes. Standard calibrations (such as for the star formation
rate) cannot be applied to such mixed spectra. In this paper we isolate the
contributions of star formation, shock excitation and active galactic nucleus
(AGN) activity to the emission line luminosities of individual spatially
resolved regions across the central 3 3 kpc region of the active
barred spiral galaxy NGC613. The star formation rate and AGN luminosity
calculated from the decomposed emission line maps are in close agreement with
independent estimates from data at other wavelengths. The star formation
component traces the B-band stellar continuum emission, and the AGN component
forms an ionization cone which is aligned with the nuclear radio jet. The
optical line emission associated with shock excitation is cospatial with strong
and [Fe II] emission and with regions of high ionized gas velocity
dispersion ( km s). The shock component also traces the
outer boundary of the AGN ionization cone and may therefore be produced by
outflowing material interacting with the surrounding interstellar medium. Our
decomposition method makes it possible to determine the properties of star
formation, shock excitation and AGN activity from optical spectra, without
contamination from other ionization mechanisms.Comment: 16 pages, 12 figures. Accepted for publication in MNRA
The X-ray emission of the most luminous 3CR radio sources
We investigate the X-ray properties of the most luminous radio sources in the
3CR catalogue, in order to assess if they are similar to the most luminous
radio quiet quasars, for instance in the X-ray normalization with respect to
the optical luminosity, or in the distribution of the absorption column
density. We have selected the (optically identified) 3CR radio sources whose
178-MHz monochromatic luminosity lies in the highest factor-of-three bin. The 4
most luminous objects had already been observed in X rays. Of the remaining 16,
we observed with XMM-Newton 4 randomly chosen, optical type 1s, and 4 type 2s.
All targets have been detected. The optical-to-Xray spectral index, alphaox,
can be computed only for the type 1s and, in agreement with previous studies,
is found to be flatter than in radio quiet quasars of similar luminosity.
However, the Compton thin type 2s have an absorption corrected X-ray luminosity
systematically lower than the type 1s, by a factor which makes them consistent
with the radio quiet alphaox. Within the limited statistics, the Compton thick
objects seem to have a reflected component more luminous than the Compton thin
ones. The extra X-ray component observed in type 1 radio loud quasars is beamed
for intrinsic causes, and is not collimated by the absorbing torus as is the
case for the (intrinsically isotropic) disk emission. The extra component can
be associated with a relativistic outflow, provided that the flow opening angle
and the Doppler beaming factor are 1/5 - 1/7 radians.Comment: LaTex, 6 pages, 3 figures, 3 tables; accepted for publication in A&
Is Host Metabolism the Missing Link to Improving Cancer Outcomes?
For the past 100 years, oncologists have relentlessly pursued the destruction of tumor cells by surgical, chemotherapeutic or radiation oncological means. Consistent with this focus, treatment plans are typically based on key characteristics of the tumor itself such as disease site, histology and staging based on local, regional and systemic dissemination. Precision medicine is similarly built on the premise that detailed knowledge of molecular alterations of tumor cells themselves enables better and more effective tumor cell destruction. Recently, host factors within the tumor microenvironment including the vasculature and immune systems have been recognized as modifiers of disease progression and are being targeted for therapeutic gain. In this review, we argue that-to optimize the impact of old and new treatment options-we need to take account of an epidemic that occurs independently of-but has major impact on-the development and treatment of malignant diseases. This is the rapidly increasing number of patients with excess weight and its\u27 attendant metabolic consequences, commonly described as metabolic syndrome. It is well established that patients with altered metabolism manifesting as obesity, metabolic syndrome and chronic inflammation have an increased incidence of cancer. Here, we focus on evidence that these patients also respond differently to cancer therapy including radiation and provide a perspective how exercise, diet or pharmacological agents may be harnessed to improve therapeutic responses in this patient population
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