Miracle-dz/UniFAR-FTUs huggingface dataset:
An Exploratory Study of Strategic Alignment and Global Information System Implementation Success in Fortune 500 Companies

This paper examines the effect of the alignment of a business’s global strategy and its global information systems on the success of information system implementation. The paper proposes that global information systems that are aligned with a firm’s global business strategy are more likely to reach a level of implementation that will add value to the business than those systems that are not so aligned. Exploratory hypotheses examining this proposition are presented in the paper, and a survey instrument to test the hypotheses is described. The results of a survey of Fortune 500 companies using the survey instrument are presented. The results indicate that the alignment of global business strategy with global information systems correlates with global information system implementation success.
Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer.

PURPOSE Older adults are at increased risk for chemotherapy toxicity, and standard oncology assessment measures cannot identify those at risk. A predictive model for chemotherapy toxicity was developed (N = 500) that consisted of geriatric assessment questions and other clinical variables. This study aims to externally validate this model in an independent cohort (N = 250). PATIENTS AND METHODS Patients age ≥ 65 years with a solid tumor, fluent in English, and who were scheduled to receive a new chemotherapy regimen were recruited from eight institutions. Risk of chemotherapy toxicity was calculated (low, medium, or high risk) on the basis of the prediction model before the start of chemotherapy. Chemotherapy-related toxicity was captured (grade 3 [hospitalization indicated], grade 4 [life threatening], and grade 5 [treatment-related death]). Validation of the prediction model was performed by calculating the area under the receiver-operating characteristic curve. RESULTS The study sample (N = 250) had a mean age of 73 years (range, 65 to 94 [standard deviation, 5.8]). More than one half of patients (58%) experienced grade ≥ 3 toxicity. Risk of toxicity increased with increasing risk score (36.7% low, 62.4% medium, 70.2% high risk; P < .001). The area under the curve of the receiver-operating characteristic curve was 0.65 (95% CI, 0.58 to 0.71), which was not statistically different from the development cohort (0.72; 95% CI, 0.68 to 0.77; P = .09). There was no association between Karnofsky Performance Status and chemotherapy toxicity (P = .25). CONCLUSION This study externally validated a chemotherapy toxicity predictive model for older adults with cancer. This predictive model should be considered when discussing the risks and benefits of chemotherapy with older adults.
Complete cDNA and Deduced Amino Acid Sequence of the Chaperonin Containing T-Complex Polypeptide 1 (CCT) Delta Subunit from Aedes triseriatus Mosquitoes

The chaperonin containing t-complex polypeptide 1 (CCT) assists in the ATP-dependent folding and assembly of newly translated actin and tubulin in the eukaryotic cytosol. CCT is composed of eight different subunits, each encoded by an independent gene. In this report, we used RT-PCR amplification and 5′- and 3′-rapid amplification of cDNA ends (RACE) to determine the complete cDNA sequence of the CCT delta subunit from Aedes triseriatus mosquitoes. The CCT5 cDNA is 1936 nucleotides in length and encodes a putative 533 amino acid protein with a calculated molecular mass of 57 179 daltons and pi of 7.15. Hydrophobic residues comprise 39.8% of the amino acid sequence and putative motifs for ATP-binding and ATPase-activity are present. The amino acid sequence displays strong sequence similarity to Dro-sophila melanogaster (92%), human (85%), puffer fish (84%) and mouse (84%) counterparts. CCT8 mRNA was detected in both biosynthetically active (embryo-nating) and dormant (diapausing) Ae. triseriatus embryos by RT-PCR analysis.
Comparison of Filters for Despeckle With Improved Speckle Reducing Antiscopic Diffusion Filter for Ultrasound Images

---Due to the presence of speckle noise leads to the poor quality of the US images. The presence of speckle noise makes it difficult to understand the information contain in the US image hence filtering of US image is required to improve the image quality. The paper gives us the comparison of different filters techniques (linear filter (lf),Anisotropic Diffusion(AD),Nonlinear filter kuwahara(Kuwa) ,median filter(med),hybrid median filter(hmed) , Lee Filter &kaun, frost filter, Wavelet based speckle reduction methods, speckle reducing anisotropic diffusion filter (srad),improved srad(Israd). 65 texture feature, image intensity normalization, 15 image quantitative metrics and image quality evaluation. It is observed that the Israd, improves the image quality of liver, kidney, uterus, live mass ultrasound images.
Blockwise Granger causality and blockwise new causality

Multivariate blockwise Granger causality (BGC) is used to reflect causal interactions among blocks of multivariate time series. Especially, spectral BGC and conditional spectral BGC is used to disclose blockwise causal flow among different brain areas in variant frequencies. In this paper, we demonstrate that (i) BGC in time domain may not disclose true causality at all. (ii) Due to the use of the transfer function or its inverse matrix and partial information of the multivariate linear regression model, both of spectral BGC and conditional spectral BGC have shortcomings and/or limitations which may inevitably lead to misinterpretation results. We then in time and frequency domains develop two new multivariate causality methods for the multivariate linear regression model, called blockwise new causality (BNC) and spectral BNC respectively. By several examples we confirm that BNC measures are more reasonable and understandable than BGC or conditional BGC. Finally, for EEG data from an epilepsy patient we analyze event-related potential (ERP) causality and demonstrate that both of BGC and BNC methods show significant causality flow in frequency domain, but the spectral BNC method yields satisfactory and convincing result which is consistent with event-related time-frequency power spectrum activity. The spectral BGC method is shown to generate misleading results.
Supervised Classification of Baboon Vocalizations

This paper addresses automatic classification of baboon vocalizations. We considered six classes of sounds emitted by "Papio papio" baboons, and report the results of supervised classification carried out with different signal representations (audio features), classifiers, combinations and settings. Results show that up to 94.1\% of correct recognition of pre-segmented elementary segments of vocalizations can be obtained using Mel-Frequency Cepstral Coefficients representation and Support Vector Machines classifiers. Results for other configurations are also presented and discussed, and a possible extension to the "Sound-spotting'' problem, i.e. online joint detection and classification of a vocalization from a continuous audio stream is illustrated and discussed.
Design and evaluation of birthmarks for detecting theft of java programs

iiiiiii 200402.tex ABSTRACT To detect theft of Java class files efficiently, we have so far proposed a concept of Java birthmarks. Since the birthmarks are unique and native characteristics of every class file, a class file with the same birthmark of another can be easily suspected as a copy. However, performance and tolerance of the birthmarks against sophisticated attacks had not been evaluated well. To clarify these issues, this paper conducts two experiments. In the first experiment, we demonstrate that the proposed birthmarks successfully distinguish non-copied files in practical Java application (97.8005%). The second experiment shows that the proposed birthmarks are quite tolerant of attacks with automatic program optimizers/obfuscators (93.3876%). ======= ABSTRACT To detect theft of Java class files efficiently, we have so far proposed a concept of Java birthmarks. Since the birthmarks are unique and native characteristics of every class file, a class file with the same birthmark of another can be easily suspected as a copy. However, performance and tolerance of the birthmarks against sophisticated attacks had not been evaluated well. To clarify these issues, this paper conducts two experiments. In the first experiment, we demonstrate that the proposed birthmarks successfully distinguish non-copied files in practical Java application (97.8005%). The second experiment shows that the proposed birthmarks are quite tolerant of attacks with automatic program optimizers/obfuscators (93.3876%). 1.7
The WebSA Approach: Applying Model Driven Engineering to Web Applications

The Web engineering research community has proposed several Web design methods that have proven successful in the specification of the functional aspects (such as domain, navigation and presentation) posed by Web applications. However, the architectural aspects are often ignored in the design and the Web application is not specified enough. This development process produces a gap between the Web design models and the final implementation. To overcome this limitation, we extend the different Web methodologies with a generic approach called WebSA. WebSA is based on the Model Driven Engineering (MDE) paradigm that promotes models as the primary artifacts needed to carry out a software project from beginning to end. To do this, WebSA proposes a Model Driven Development made up of a set of UML architectural models and QVT model transformations as a mechanism for (1) integrating the functional aspects of the current Web methodologies with the architectural models as well as for (2) defining a set of transformations from the architectural models to platform-specific models such as J2EE, . NET, etc. To illustrate our approach, in this paper we combine WebSA with the OO-H method, to tackle the design of a running example such as the Travel Agency system.
Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint

Online blind source separation (BSS) is proposed to overcome the high computational cost problem, which limits the practical applications of traditional batch BSS algorithms. However, the existing online BSS methods are mainly used to separate independent or uncorrelated sources. Recently, nonnegative matrix factorization (NMF) shows great potential to separate the correlative sources, where some constraints are often imposed to overcome the non-uniqueness of the factorization. In this paper, an incremental NMF with volume constraint is derived and utilized for solving online BSS. The volume constraint to the mixing matrix enhances the identifiability of the sources, while the incremental learning mode reduces the computational cost. The proposed method takes advantage of the natural gradient based multiplication updating rule, and it performs especially well in the recovery of dependent sources. Simulations in BSS for dual-energy X-ray images, online encrypted speech signals, and high correlative face images show the validity of the proposed method.
National Security and Social Media Monitoring: A Presentation of the EMOTIVE and Related Systems

Today social media streams, such as Twitter, represent vast amounts of 'real-time' daily streaming data. Topics on these streams cover every range of human communication, ranging from banal banter, to serious reactions to events and information sharing regarding any imaginable product, item or entity. It has now become the norm for publicly visible events to break news over social media streams first, and only then followed by main stream media picking up on the news. It has been suggested in literature that social-media are a valid, valuable and effective real-time tool for gauging public subjective reactions to events and entities. Due to the vast big-data that is generated on a daily basis on social media streams, monitoring and gauging public reactions has to be automated and most of all scalable - i.e. human, expert monitoring is generally unfeasible. In this paper the EMOTIVE system, a project funded jointly by the DSTL (Defence Science and Technology Laboratory) and EPSRC, which focuses on monitoring fine-grained emotional responses relating to events of national security importance, will be presented. Similar systems for monitoring national security events are also presented and the primary traits of such national security social media monitoring systems are introduced and discussed.
Optimal Cellular Offloading via Device-to-Device Communication Networks With Fairness Constraints

The increasing demand for large data downloads on cellular networks is increasing congestion which decreases end user quality of service. This work addresses the problem of offloading the cellular network while distributing common content to a group of mobile devices that cooperate during the download process by forming device-to-device communication networks. The base station unicasts different chunks of the content to selected mobile devices that multicast it to each other over local ad hoc networks using multihop cooperation while maintaining fairness constraints on the energy consumption of the mobile devices. The optimal cellular offloading problem is formulated as a mixed integer linear programming problem and the corresponding complexity is analyzed. Then, a dynamic programming approach is proposed to adapt the solution to the dynamics of the network as the mobile devices move. Cellular offloading assuming single hop cooperation among the mobile devices proves to be significantly less computationally complex than cooperation using a higher number of hops; however both problems are NP-complete. Thus, polynomial time greedy algorithms are presented to obtain computationally fast solutions with good performance. Performance results demonstrate that significant cellular offloading gains can be achieved, even if only a very small fraction of the mobile devices' battery levels can be consumed for cooperation.
Sequence-based prediction of protein interaction sites with an integrative method

MOTIVATION Identification of protein interaction sites has significant impact on understanding protein function, elucidating signal transduction networks and drug design studies. With the exponentially growing protein sequence data, predictive methods using sequence information only for protein interaction site prediction have drawn increasing interest. In this article, we propose a predictive model for identifying protein interaction sites. Without using any structure data, the proposed method extracts a wide range of features from protein sequences. A random forest-based integrative model is developed to effectively utilize these features and to deal with the imbalanced data classification problem commonly encountered in binding site predictions. RESULTS We evaluate the predictive method using 2829 interface residues and 24,616 non-interface residues extracted from 99 polypeptide chains in the Protein Data Bank. The experimental results show that the proposed method performs significantly better than two other sequence-based predictive methods and can reliably predict residues involved in protein interaction sites. Furthermore, we apply the method to predict interaction sites and to construct three protein complexes: the DnaK molecular chaperone system, 1YUW and 1DKG, which provide new insight into the sequence-function relationship. We show that the predicted interaction sites can be valuable as a first approach for guiding experimental methods investigating protein-protein interactions and localizing the specific interface residues. AVAILABILITY Datasets and software are available at http://ittc.ku. edu/~xwchen/bindingsite/prediction.
Insect capa neuropeptides impact desiccation and cold tolerance

Significance Insects are among the most robust organisms on the planet, surviving in virtually all environments and capable of surmounting a range of environmental stresses including desiccation and cold. Although desiccation and cold tolerance share many common traits, potential mechanisms for such linked responses remain unclear. Here we show that an insect neuropeptide gene is associated with tolerance of both desiccation and cold in Drosophila melanogaster, suggesting a novel mechanism in renal tubule epithelia that enhances survival of both desiccation and cold. Also, we can reverse RNAi-induced stress tolerance phenotypes in intact flies using rationally designed peptide mimetic analogs. We thus demonstrate the power of intervention in physiological processes controlled by neuropeptides, with potential for insect pest control. The success of insects is linked to their impressive tolerance to environmental stress, but little is known about how such responses are mediated by the neuroendocrine system. Here we show that the capability (capa) neuropeptide gene is a desiccation- and cold stress-responsive gene in diverse dipteran species. Using targeted in vivo gene silencing, physiological manipulations, stress-tolerance assays, and rationally designed neuropeptide analogs, we demonstrate that the Drosophila melanogaster capa neuropeptide gene and its encoded peptides alter desiccation and cold tolerance. Knockdown of the capa gene increases desiccation tolerance but lengthens chill coma recovery time, and injection of capa peptide analogs can reverse both phenotypes. Immunohistochemical staining suggests that capa accumulates in the capa-expressing Va neurons during desiccation and nonlethal cold stress but is not released until recovery from each stress. Our results also suggest that regulation of cellular ion and water homeostasis mediated by capa peptide signaling in the insect Malpighian (renal) tubules is a key physiological mechanism during recovery from desiccation and cold stress. This work augments our understanding of how stress tolerance is mediated by neuroendocrine signaling and illustrates the use of rationally designed peptide analogs as agents for disrupting protective stress tolerance.
Understanding Adoption of a Personal Health Record in Rural Health Care Clinics: Revealing Barriers and Facilitators of Adoption including Attributions about Potential Patient Portal Users and Self-reported Characteristics of Early Adopting Users

Personal health records (PHRs) are important for improving patient care. An important prerequisite to realize benefits of PHR use is patient recruitment. To understand clinic barriers to adoption, we used Rogers' Diffusion of Innovations theory to frame an examination of clinic staff perceptions of a new PHR and perceptions of likely patient portal users. Clinic staff reported many relative advantages and observable benefits of the PHR but also some distinct problems. Attributions about potential patient users included demographic, computer use, and personality characteristics staff expected in likely users. Analysis of patient survey data of early adopters compared to non-users revealed discrepancies between clinic staff expectations and early adopters' self-reports. Implications for improving adoption of PHRs include ensuring compatibility with existing systems and avoiding recruitment biases.
The TSIMMIS Project: Integration of Heterogeneous Information Sources

The goal of the Tsimmis Project is to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured data. This paper gives an overview of the project, describing components that extract properties from unstructured objects, that translate information into a common object model, that combine information from several sources, that allow browsing of information, and that manage constraints across heterogeneous sites. Tsimmis is a joint project between Stanford and the IBM Almaden Research Center. 1 Overview A common problem facing many organizations today is that of multiple, disparate information sources and repositories, including databases, object stores, knowledge bases, file systems, digital libraries, information retrieval systems, and electronic mail systems. Decision makers often need information from multiple sources, but are unable to get and fuse the required information in a timely fashion due to the diffculties of accessing the different systems, and due to the fact that the information obtained can be inconsistent and contradictory. Research sponsored by the Wright Laboratory, Aeronautical Systems Center, Air Force Material Command, USAF, under Grant Number F33615-93-1-1339. The US Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the offcial policies or endorsements, either express or implied, of Wright Laboratory or the US Government. This work was also supported by the Reid and Polly Anderson Faculty Scholar Fund, the Center for Integrated Systems at Stanford University, and by Equipment Grants from Digital Equipment Corporation and IBM Corporation. The goal of the TSIMMIS 1 project is to provide tools for accessing, in an integrated fashion, multiple informati
Subtractive Shadows: A Flexible Framework for Shadow Level of Detail

We explore the implications of reversing the process of shadow computation for real-time applications that model complex reflectance and lighting (such as that specified by an environment map). Instead of adding illumination contributions at each pixel across various lights, we compute the complete, unshadowed local illumination at each pixel using approximations, then subtract the lighting contribution from each light for which the pixel is in shadow. This provides flexible level of detail for shadow computation in ways that standard additive shadows do not, such as permitting the use of fast methods for accurate direct illumination combined with a small number of shadow-casting lights, and allowing for downsampled shadows to reduce fill cost. This technique preserves that portion of the scene with the greatest visual importance—the direct illumination—and allows shadows to be presented with lower fidelity in exchange for improvements in speed. With subtractive shadows, we are able to interactively manipulate and render arbitrary BRDFs and environment maps applied to complex, dynamic scenes with shadows, achieving in real time effects that previously required offline computation or preprocessing.