Miracle-dz/UniFAR-FTUs huggingface dataset:
The Upstream Regulatory Region of the Carbamoyl-phosphate Synthetase I Gene Controls Its Tissue-specific, Developmental, and Hormonal Regulation in Vivo*

The carbamoyl-phosphate synthetase I gene is expressed in the periportal region of the liver, where it is activated by glucocorticosteroids and glucagon (via cyclic AMP), and in the crypts of the intestinal mucosa. The enhancer of the gene is located 6.3 kilobase pairs upstream of the transcription start site and has been shown to direct the hormone-dependent hepatocyte-specific expression in vitro. To analyze the function of the upstream region in vivo, three groups of transgenic mice were generated. In the first group the promoter drives expression of the reporter gene, whereas the promoter and upstream region including the far upstream enhancer drive expression of the reporter gene in the second group. In the third group the far upstream enhancer was directly coupled to a minimized promoter fragment. Reporter-gene expression was virtually undetectable in the first group. In the second group spatial, temporal, and hormonal regulation of expression of the reporter gene and the endogenous carbamoyl-phosphate synthetase gene were identical. The third group showed liver-specific periportal reporter gene expression, but failed to activate expression in the intestine. These results show that the upstream region of the carbamoyl-phosphate synthetase gene controls four characteristics of its expression: tissue specificity, spatial pattern of expression within the liver and intestine, hormone sensitivity, and developmental regulation. Within the upstream region, the far upstream enhancer at −6.3 kilobase pairs is the determinant of the characteristic hepatocyte-specific periportal expression pattern of carbamoyl-phosphate synthetase.
Improved battery life for context awareness application in smart-phones

The new smart-phones with new operating system and portable sensors support the basis for context awareness systems and applications for handling user activity and user privacy. Nowadays, individuals need new services and real time information anywhere and anytime. Context awareness is an emerging service, which could be able to improve the user experiences in current situation. Context awareness can be considered as location, calendar, user activity and etc. The review of the literature proves that context awareness in mobile phone can be useful and studied as unavoidable service in next generation of smart-phone applications. In this paper, a short review about context awareness in mobile phone is studied, furthermore, we critically analyzed related works of context awareness in smart-phones. The review shows that the most important context in mobile phone is location, which is mostly obtained by using Global Positioning System (GPS) sensor in mobile phones but GPS can significantly increases battery consumption in mobile phones. In this regard, a framework as Improved Battery life in Context Awareness System (IBCS) is proposed to improve battery life and reduce cost of using GPS in context awareness applications based on smart-phones. The review argues the weakness and strength of these studies, and aims to (a) indicate the most important context in mobile phone, (b) reduce the battery consumption of GPS sensor in mobile phone.
THE FLUOROMETRIC DETERMINATION OF 5‐METHOXYTRYPTAMINE IN MAMMALIAN TISSUES AND FLUIDS

Abstract— Using a sensitive and specific fluorometric procedure involving selective extraction, reaction of the extracts with o‐phthalaldehyde (OP), separation of the OP derivatives by TLC, and determination of fluorescent characteristics and intensities, we have detected and measured 5‐methoxytryptamine, (5‐MT) in various central and peripheral tissues and fluids of the rat, dog, baboon, and man.
An application of the maximum entropy method with smoothing to industrial tomography

The maximum entropy method combined with a smoothing restriction was applied to the tomography of a BNC connector using five noisy radiographies from different rotating views. A heuristic control of the filter parameter is constructed by combining the projection error and the global smoothness. The proposed algorithm can be used in cases where the homogeneity of internal material is a priori known from the design and manufacturing processes
Citizen Science in the Age of Neogeography: Utilizing Volunteered Geographic Information for Environmental Monitoring

The interface between neogeography and citizen science has great potential for environmental monitoring, but this nexus has been explored less often than each subject individually. In this article we review the emerging role of volunteered geographic information in citizen science and present a case study of an integrated tool set that engages multiple types of users (from targeted citizen-based observation networks, expert-driven focused monitoring, and opportunistic crowdsourcing efforts) in monitoring a forest disease in the western United States. We first introduce the overall challenge of data collection in environmental monitoring projects and then discuss the literature surrounding an emergent integration of citizen science and volunteered geographical information. We next explore how these methods characterize and underpin knowledge discovery and how multimodal interaction is supported so that a large spectrum of contributors can be included. These concepts are summarized in a conceptual model that articulates the important gradients of Web-based environmental monitoring: the users, the interaction between users and data, and the types of information generated. Using this model, we critically examine OakMapper.org, a Web site created by the authors to collect and distribute spatial information related to the spread of a forest disease, and discuss many of the core issues and new challenges presented by the intersection of citizen science and volunteered geographic information in the context of environmental monitoring. We argue that environmental monitoring can benefit from this synergy: The increased emphasis on a diversity of participants in knowledge production might help to reduce the gaps that have in the past divided the public, researchers, and policymakers in such efforts.
Accelerometer based intelligent system for human movement recognition

This paper presents the development of a system based on computational intelligence techniques and on an accelerometer to perform, in a comfortable and non-intrusive manner, the recognition of basic movements of a person's routine. The information provided by this system can be directed to support promoting health and well-being of the individual, as well as diagnosing and remote patient monitoring. The system provides an overall success rate in recognition of movements around 93% by using support vector machines for signal classification and Fisher's discriminant ratio to select the most significant features.
SEROLOGIC AND MOLECULAR EVIDENCE FOR TESTUDINID HERPESVIRUS 2 INFECTION IN WILD AGASSIZ'S DESERT TORTOISES, GOPHERUS AGASSIZII

Following field observations of wild Agassiz's desert tortoises (Gopherus agassizii) with oral lesions similar to those seen in captive tortoises with herpesvirus infection, we measured the prevalence of antibodies to Testudinid herpesvirus (TeHV) 3 in wild populations of desert tortoises in California. The survey revealed 30.9% antibody prevalence. In 2009 and 2010, two wild adult male desert tortoises, with gross lesions consistent with trauma and puncture wounds, respectively, were necropsied. Tortoise 1 was from the central Mojave Desert and tortoise 2 was from the northeastern Mojave Desert. We extracted DNA from the tongue of tortoise 1 and from the tongue and nasal mucosa of tortoise 2. Sequencing of polymerase chain reaction products of the herpesviral DNA-dependent DNA polymerase gene and the UL39 gene respectively showed 100% nucleotide identity with TeHV2, which was previously detected in an ill captive desert tortoise in California. Although several cases of herpesvirus infection have been described in captive desert tortoises, our findings represent the first conclusive molecular evidence of TeHV2 infection in wild desert tortoises. The serologic findings support cross-reactivity between TeHV2 and TeHV3. Further studies to determine the ecology, prevalence, and clinical significance of this virus in tortoise populations are needed.
Design and Implementation of Novel Smart Battery Management System for FPGA Based Portable Electronic Devices

This paper presents the analysis and design of a smart battery management system for Field Programmable Gate Array (FPGA) based portable electronic devices. It is a novel concept of incorporating the functionality of a smart battery management system into the FPGA used by portable electronic devices, which provides the following advantages. (1) It lowers cost since the conventional commercial independent battery management circuit can be eliminated; (2) It offers more flexibility because FPGA based battery management algorithms can be specifically designed for different battery chemistries of different devices and can provide the flexibility of algorithms and functionalities updating as well. Smart battery management system concepts include four aspects: (1) smart charging; (2) battery balancing; (3) smart discharging; and (4) safety operating. One novel charging algorithm, which combines the merits of multistage charging and pulse charging, is proposed to charge a Li-ion battery pack smartly. A Proportional Integral (PI) control method is introduced to achieve the current control of charging circuit with considerable close loop stability. Simulation results from the PSIM 9.0. 4 software package and experimental results from the prototype built in the lab are demonstrated to verify the effectiveness of smart charging. The realizations of battery balancing, smart discharging, and safety operating are also briefly described by taking advantage of the proposed FPGA based smart battery management system topology, which verify the feasibility of the proposed FPGA based smart battery management system for portable electronic devices.
Real Earnings Management and the Properties of Analysts’ Forecasts

We examine how analysts’ earnings forecast properties vary when accounting information is more difficult to process. Specifically, we investigate whether analysts’ forecast properties are associated with traditional real earnings management (REM) measures. We hypothesize and find that analysts’ forecast errors and dispersion are greater for REM firms. Next, we investigate cross-sectional differences among REM firms based on the presence of management guidance. We find some evidence that management guidance reduces the association between REM and analysts’ forecast error, and strong evidence that management guidance reduces the association between REM and dispersion. Finally, we investigate cross-sectional differences among REM firms based on their earnings management incentives. We find that firms with low earnings management incentives drive the association between REM and analysts’ forecast error and dispersion. This result suggests earnings are most difficult to forecast for REM firms lacking obvious financial reporting objectives. Our results are consistent across numerous proxies for REM. To the best of our knowledge, our paper is the first to provide robust evidence of a relation between REM and the properties of analysts’ forecasts.
Analytical evaluation of the temporal focal shift for arbitrary pulse shapes

In this letter, we analyze the propagation of linearly chirped arbitrary-shaped light pulses through a parabolic dispersive medium to derive an analytical formula of assessing the location of the transverse plane where the pulse root-mean-square width is minimum. Closed form expressions for compressed pulses, which are independent of the input pulse shape, are demonstrated. In this way, we demonstrate that both the relative temporal focal shift and the minimum pulsewidth are solely determined by two factors, the temporal equivalent of the Fresnel number of the geometry and the pulse quality factor, i.e., the temporal analogue of the spatial M/sup 2/ beam quality factor. Some examples are discussed.
Critical Success Factors in Teaching Strategic Sales Management: Evidence From Client-Based Classroom and Web-Based Formats

The importance of sales management as an interface between a company and its customers is widely recognized. However, the teaching of strategic sales management has not received enough attention in marketing education literature. This study analyzes an experiential client-based method for teaching a strategic sales management course. The authors first discuss experiential and client-based pedagogies in sales learning. Second, the authors describe the course, case method, and two different formats. Third, the authors compare the learning outcomes and identify 5 critical success factors that teachers need to consider. The authors conclude by suggesting to sales educators ways to overcome these challenges.
Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models

Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.
Toward standardized internet speed measurements for end users: current technical constraints

Many years of research have been dedicated toward the definition of sophisticated quality of service (QoS) measurement tools and methods. Nonetheless, the results given to end users by most commonly used online speed measurement tools are still far from being accurate. Among other factors, the reliability of the measurement methods is affected by different static and dynamic constraints of involved network nodes and TCP/IP implementations. The clarification of such uncertainties will help establish the baseline for the definition of any comparable and technically feasible measurement methodology, in terms of measurement periods, number of concurrent connections, and convergence time. This article presents a comprehensive description of the research work and proposes mechanisms, aiming to obtain a full understanding of cross-layer effects during a speed test targeting end users.
Extending Interface Roles to Account for Quality of Service Aspects in the DAiSI

—Dynamic adaptive systems are systems that change their behavior according to the needs of the user at run time. Since it is not feasible to develop these systems from scratch every time, a component model enabling dynamic adaptive systems is called for. Moreover, an infrastructure is required that is capable of wiring dynamic adaptive systems from a set of components in order to provide a dynamic and adaptive behavior to the user. To ensure a wanted, emergent behavior of the overall system, the components need to be wired according to the rules an application architecture deﬁnes. In this paper, we present the Dynamic Adaptive System Infrastructure (DAiSI). It provides a component model and conﬁguration mechanism for dynamic adaptive systems. To address the issue of application architecture conform system conﬁguration, we introduce interface roles that allow the consideration of component behavior during the composition of an application. Moreover, we extend the interface roles and application speciﬁcations by a quality of service concept. This enables a component to not only require a syntactical and semantical correct wiring, but also to demand the – from its viewpoint – best service.
Nanoprobe insertion for nanoinjection based on E-SEM nanorobotic manipulation

This paper presents a nanoprobe insertion for nanoinjection applications for biological species based on environmental-scanning electron microscope (E-SEM) nanorobotic manipulation system. Based on the bio-nano manipulation system, we have been proposed a nano-injection method by nanoprobe insertion. The nanoprobe is designed to have a sharp tip to insert the probe into biological specimen. It is fabricated by focused ion beam (FIB) process. The nano-scale size is important for minimal damage and enough rigidity to biological specimen. A Caenorhabditis elegans (C. elegans) is used as a target biological specimen, which is one of the important model organism for diseases analysis. The direct nanoinjection technique into a biological organism is needed to transport fluorescent materials or specific biological proteins into its specific cell as in-vivo experiment. The proposed system is considered to be important as future nano-surgery system for life innovation using model organism.
From fins to limbs to fins: limb evolution in fossil marine reptiles.

Limb osteology and ontogenetic patterns of limb ossification are reviewed for extinct lineages of aquatically adapted diapsid reptiles. Phylogenies including these fossil taxa show that paddle-like limbs were independently derived, and that the varied limb morphologies were produced by evolutionary modifications to different aspects of the limb skeleton. Ancient marine reptiles modify the limb by reducing the relative size of the epipodials, modifying the perichondral and periosteal surface of elements distal to the propodials, and evolving extremes of hyperphalangy and hyperdactyly. Developmental genetic models illuminate gene systems that may have controlled limb evolution in these animals.
Investigation of Optical Power Tolerance for MEMS Mirrors

Optical power tolerance on micromirrors is a critical aspect of many high-power optical systems. Absorptive heating can negatively impact the performance of an optical system by altering the micromirror's curvature during operation. This can lead to shifts in the beam waist locations or imaging planes within a system. This paper describes a scheme to measure the impact of mirror heating by optical power and determine the power tolerances of micromirrors with gold and aluminum coatings using a 532-nm laser. Results are compared with an analytical model of thermally induced stress and optical absorptive heating. Experimental data shows that gold-coated mirrors are able to handle 40 mW of optical power with a beam waist displacement of less than 20% of the output Rayleigh length, while aluminum-coated mirrors can tolerate 125 mW. Measured data along with modeling suggest that, with proper metal coating, optical powers greater than 1 W should not adversely affect the system performance.
Peptide enrichment and protein fractionation using selective electrophoresis

In recent times, the analysis of the peptidome has become increasingly valuable to gain a better understanding of the critical roles native peptides play in biological processes. Here, we show a technique using a novel electrophoretic device named MF10, for the fractionation of proteins and peptides based on size and also pH in low volume liquid phase under an electric field. A 1 μM, 7‐protein and peptide standard mix ranging from 1 to 25 kDa has been used to show peptide migration into a fraction contained by 1–5 kDa membranes. Simultaneous fractionation of the higher mass protein standards to the correct fraction also occurred. To assess the MF10's ability to fractionate more complex samples, human plasma was used to enrich for the peptidome below 5 kDa in the presence of the proteome. Peptide enrichment was achieved while simultaneously fractionating higher mass proteins to three other mass restricted fractions. The utility of this approach is demonstrated with the identification (with at least 2 ppm mass accuracy) of 76 unique peptides, equating to 22 proteins enriched to the 1–5 kDa fraction of the MF10.
Knowledge-Intensive Mother Factory:How Can a Mother Factory Support Foreign Factories without Mass Production Activity?

This study clarifies that a home base without mass production activities can support foreign factories by acting as a mother factory through the case of Minebea Co., Ltd. Minebea’s home base has aggressively gathered information on mass production from their foreign factories and has continued to accumulate knowledge on mass production, even after discontinuing its own mass production activities. Although the home factory is inactive in terms of mass production, it has succeeded in supporting mass production at their foreign factory as a “knowledge-intensive mother factory,” the factory that possesses knowledge on mass production without engaging in any mass production activity. It was found that a home base can possess knowledge that exceeds its boundary of activities, enabling it to act as a mother factory supporting mass production at foreign factories without engaging in any mass production. a) Graduate School of Economics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan, okik@e.u-tokyo.ac. jp A part of this paper was originally published as Oki (2012a) in Japanese. Annals of Business Administrative Science 14 (2015) 293–308 Available at www.gbrc. jp http://doi.org/10.7880/abas.14. 52 Online ISSN 1347-4456 Print ISSN 1347-4464 ©2015 Global Business Research Center
Opinion Feature Extraction via Domain Relevance

Rich web resources such as discussion forum, review sites, blogs and news corpus available in digital form, tends the current research to focus on the area of sentiment analysis. Researchers are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. Accurate prediction methods can enable us, to extract opinions from the internet and make predictable decisions which will help economic or marketing research. The majority of existing mining approaches for opinion feature extraction depend on a single review corpus, ignoring word distributional characteristic across different domain. In this paper, a novel method is proposed to recognize opinion features from online assessment by determining the difference in opinion feature across two corpora, one domain-related corpus and one domain-independent corpus, which is a variant in method proposed in [1].
HypervolGAN: An efficient approach for GAN with multi-objective training function

Since the advent of generative adversarial networks (GANs), various loss functions have been developed and combined to constitute the overall training objective function, in order to improve model performance or for specific learning tasks. For instance, in image enhancement or restoration, there are often several criteria to consider such as signal-noise ratio, smoothness, structures and details. However, when the optimization goal has more than one adversarial loss, balancing multiple losses in the overall function becomes a challenging, critical and time-consuming problem. In this paper, we propose to tackle the problem by means of efficient multi-objective optimization. The proposed HypervolGAN adopts an adapted version of hypervolume maximization method to effectively define the multi-objective training function for GAN. We tested our proposed method on solving single image super-resolution problem. Experiments show that the proposed HypervolGAN is efficient in saving computational time and efforts for fine-tuning weights of various losses, and can generate enhanced samples that have better quality than results given by baseline GANs. The work explores the integration of adversarial learning and optimization techniques, which can benefit not only image processing but also a wide range of applications.