Miracle-dz/UniFAR-FTUs huggingface dataset:
Value Delivery Architecture Modeling - A New Approach for Business Modeling

Complexity and uncertainty have evolved as important challenges for entrepreneurship in many industries. Value Delivery Architecture Modeling (VDAM) is a proposal for a new approach for business modeling to conquer these challenges. In addition to the creation of transparency and clarity, our approach supports the operationalization of business model ideas. VDAM is based on the combination of a new business modeling language called VDML, ontology building, and the implementation of a level of cross-company abstraction. The application of our new approach in the area of electric mobility in Germany, an industry sector with high levels of uncertainty and a lack of common understanding, shows several promising results: VDAM enables the development of an unambiguous and unbiased view on value creation. Additionally it allows for several applications leading to a more informed decision towards the implementation of new business models.
Intervention Components Promoting Adherence to Strength Training Exercise in Breast Cancer Survivors With Bone Loss

Numerous studies have reported that exercise is safe and beneficial for breast cancer survivors; however, long-term adherence to exercise programs is not easy to accomplish. This secondary analysis examined the demographic and clinical characteristics, adherence to exercise, and cognitive—behavioral intervention components data collected on 120 postmenopausal women with a history of breast cancer and bone loss who had been randomized to the exercise group in a 24-month study. Hierarchical regression was used to identify variables that predicted adherence to exercise. Mean adherence to exercises was 61.89%. Feedback and support were the most frequently used cognitive—behavioral intervention components. In hierarchical regression, predictors for adherence to exercise were feedback (β = .40, p < .001) and adherence to exercise in the previous time period (β = .31, p < .001). Participants receiving more frequent feedback had higher adherence to exercise.
ADH and ALDH Polymorphisms and Alcohol Dependence in Mexican and Native Americans

Background: Ethanol is primarily metabolized in the liver by two rate-limiting reactions: conversion of ethanol to acetaldehyde by alcohol dehydrogenase (ADH) and subsequent conversion of acetaldehyde to acetate by aldehyde dehydrogenase (ALDH). ADH and ALDH exist in multiple isozymes that differ in their kinetic properties. Notably, polymorphisms within the genes that encode for these isozymes vary in their allele frequencies between ethnic groups, and thus, they have been considered as candidate genes that may differentially influence risk for the development of alcohol dependence across ethnic groups. Objectives and methods: Associations between alcohol dependence and polymorphisms in ADH1B, ADH1C, and ALDH2 were compared in a community sample of Native Americans (n 791) living on reservations and Mexican Americans (n 391) living within the same county. Results: Two Mexican Americans and no Native Americans possessed one ALDH2*2 allele. Presence of at least one ADH1B*2 allele was found in 7% of the Native Americans and 13% of the Mexican Americans, but was only associated with protection against alcohol dependence in the Mexican Americans. Presence of at least one ADH1B*3 allele was found in 4% of the Native Americans and 2% of the Mexican Americans, but was associated with protection against alcohol dependence only in the Native Americans. No associations between alcohol dependence and polymorphisms in ADH1C were found. Conclusions and Scientific Significance: Polymorphisms in ADH1B are protective against alcoholism in these two populations; however, these findings do not explain the high prevalence of alcoholism in these populations.
Cognitive-Behavioral Group Therapy in Obsessive-Compulsive Disorder: A Randomized Clinical Trial

Background: The present study was designed to verify the efficacy of cognitive-behavioral group therapy (CBGT) in reducing obsessive-compulsive symptoms and the intensity of overvalued ideas, as well as in improving the patient’s quality of life. Methods: Forty-seven patients meeting DSM-IV criteria for obsessive-compulsive disorder (OCD) were randomly assigned to either 12 weekly CBGT sessions or a waiting list (control group). Treated patients were followed for three months. Results: There was a significant reduction in the Yale-Brown Obsessive-Compulsive Scale (p < 0.001), in the National Institute of Mental Health Obsessive-Compulsive Scale (p < 0.001), in the Overvalued Ideas Scale (p < 0.001), and a significant improvement in the quality of life in the four domains of the World Health Organization Quality of Life Assessment Scale: physical (p < 0.001), psychological (p < 0.017), social (p < 0.018) and environmental (p < 0.04). No significant reduction was found in the Hamilton Rating Scale for Anxiety (p = 0.111) and the Hamilton Rating Scale for Depression (p = 0.271). The concomitant use of anti-obsessional medications did not influence the results. The rate of improved patients was 69.6% in the treated group and 4.2% in the control group (p < 0.001). The therapeutic gains were maintained and an additional reduction in symptoms was observed during the 3-month follow-up period. Conclusions: The results suggest that CBGT is effective in reducing the intensity of OCD symptoms and of overvalued ideas, and that it improves the OCD patient’s quality of life in a short period of time.
Development of a mathematical model of the frequency detection signal passing through a nonlinear device

A mathematical model of the frequency detection signals of nonlinear devices and mathematical modeling of the quadrature power amplifier frequency-modulated signal under the influence of harmonic interference on the non-linear reinforcing elements of the device are presented. Assess the degree of reduction of intermodulation oscillations in a narrow frequency band of the output signal of the quadrature amplifier power than a single amplifier. Defined as the non-linearity characteristics of the power amplifiers included in quadrature amplifier affects the frequency of the modulating signal changes.
Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users

Mobile applications (a.k.a., apps), which facilitate a large variety of tasks on mobile devices, have become indispensable in our everyday lives. Accomplishing a task may require the user to navigate among various apps. Unlike Web pages that are inherently interconnected through hyperlinks, mobile apps are usually isolated building blocks, and the lack of direct links between apps has largely compromised the efficiency of task completion. In this paper, we present the first in-depth empirical study of inter-app navigation behaviors of smartphone users based on a comprehensive dataset collected through a sizable user study over three months. We propose a model to distinguish informational pages and transitional pages, based on which a large number of inter-app navigation are identified. We reveal that developing 'tunnels' between of isolated apps has a huge potential to reduce the cost of navigation. Our analysis provides various practical implications on how to improve app-navigation experiences from both the operating system's perspective and the developer's perspective.
Epidermal Growth Factor Receptor Is Essential for Toll-Like Receptor 3 Signaling

TLR3-mediated antiviral responses require phosphorylation of TLR3 by a growth factor receptor and a nonreceptor tyrosine kinase. A Growth Factor Receptor Takes Its Toll Toll-like receptor 3 (TLR3) initiates innate immune responses to double-stranded RNA (dsRNA) released by viruses or apoptotic cells. Activation of TLR3 requires phosphorylation of two tyrosine residues in its cytoplasmic domain. Yamashita et al. identified the tyrosine kinases involved and dissected the temporal sequence of these phosphorylation events. In response to dsRNA, TLR3 was phosphorylated by the epidermal growth factor receptor ErbB1, a receptor tyrosine kinase that triggers cellular proliferation in response to ligand binding. This phosphorylation event was required to trigger phosphorylation of TLR3 at a different site by the tyrosine kinase Src. In cells lacking EGFR or treated with an inhibitor of EGFR, the TLR3-mediated antiviral response was impaired. These results indicate that TLR3-mediated antiviral responses require tyrosine kinases with established roles in regulating cell growth. Toll-like receptors (TLRs) recognize specific microbial products and elicit innate immune signals to activate specific transcription factors that induce protective proteins, such as interferon. TLR3 is localized to endosomes and recognizes double-stranded RNA (dsRNA), which is generated by virally infected or apoptotic cells. TLR3 has been genetically linked to several human diseases, including some without viral etiology. Unlike other TLRs, TLR3 requires phosphorylation of two specific tyrosine residues in its cytoplasmic domain to recruit the adaptor protein TRIF (Toll–interleukin-1 receptor domain–containing adaptor protein inducing interferon-β) and initiate the antiviral response. We showed that two protein tyrosine kinases, the epidermal growth factor receptor (EGFR) ErbB1 and Src, bound sequentially to dsRNA-activated TLR3 and phosphorylated the two tyrosine residues. In cells lacking EGFR or treated with an inhibitor of EGFR, viral replication was enhanced and induction of antiviral genes was impaired. Thus, these results reveal a connection between antiviral innate immunity and cell growth regulators.
A taxonomy for swarm robots

In many cases several mobile robots (autonomous agents) can be used together to accomplish tasks that would be either more difficult or impossible for a robot acting alone. Many different models have been suggested for the makeup of such collections of robots. In this paper the authors present a taxonomy of the different ways in which such a collection of autonomous robotic agents can be structured. It is shown that certain swarms provide little or no advantage over having a single robot, while other swarms can obtain better than linear speedup over a single robot. There exist both trivial and non-trivial problems for which a swarm of robots can succeed where a single robot will fail. Swarms are more than just networks of independent processors - they are potentially reconfigurable networks of communicating agents capable of coordinated sensing and interaction with the environment.
Integrated metabolic strategy: A framework for predicting the evolution of carbon‐water tradeoffs within plant clades

The fundamental tradeoff between carbon gain and water loss has long been predicted as an evolutionary driver of plant strategies across environments. Nonetheless, challenges in measuring carbon gain and water loss in ways that integrate over leaf lifetime have limited our understanding of the variation in and mechanistic bases of this tradeoff. Furthermore, the microevolution of plant traits within species versus the macroevolution of strategies among closely related species may not be the same, and accordingly, the latter must be addressed using comparative phylogenetic analyses. Here we introduce the concept of ‘integrated metabolic strategy’ (IMS) to describe the ratio between carbon isotope composition (δ13C) and oxygen isotope composition above source water (Δ18O) of leaf cellulose. IMS is a measure of leaf‐level conditions that integrate several mechanisms contributing to carbon gain (δ13C) and water loss (Δ18O) over leaf lifespan, with larger values reflecting higher metabolic efficiency and hence less of a tradeoff. We tested how IMS evolves among closely related yet ecologically diverse milkweed species, and subsequently addressed phenotypic plasticity in response to water availability in species with divergent IMS. Integrated metabolic strategy varied strongly among 20 Asclepias species when grown under controlled conditions, and phylogenetic analyses demonstrate species‐specific tradeoffs between carbon gain and water loss. Larger IMS values were associated with species from dry habitats, with larger carboxylation capacity, smaller stomatal conductance and smaller leaves; smaller IMS was associated with wet habitats, smaller carboxylation capacity, larger stomatal conductance and larger leaves. The evolution of IMS was dominated by changes in species’ demand for carbon (δ13C) more so than water conservation (Δ18O). Although some individual physiological traits showed phylogenetic signal, IMS did not. In response to experimental decreases in soil moisture, three species maintained similar IMS across levels of water availability because of proportional increases in δ13C and Δ18O (or little change in either), while one species increased IMS due to disproportional changes in δ13C relative to Δ18O. Synthesis. IMS is a broadly applicable mechanistic tool; IMS variation among and within species may shed light on unresolved questions relating to the evolution and ecology of plant ecophysiological strategies.
Inheritance Model Introduces Differential Bias in CNV Calls Between Parents and Offspring

Copy Number Variation (CNV) is increasingly implicated in disease pathogenesis. CNVs are often identified by statistical models applied to data from single nucleotide polymorphism panels. Family information for samples provides additional information for CNV inference. Two modes of PennCNV (the Joint‐call and Posterior‐call), which are some of the most well‐developed family‐based CNV calling methods, use a “Joint‐model” as a main component. This models all family members’ CNV states together with Mendelian inheritance. Methods based on the Joint‐model are used to infer CNV calls of cases and controls in a pedigree, which may be compared to each other to test an association. Although benefits from the Joint‐model have been shown elsewhere, equality of call rates in parents and offspring has not been evaluated previously. This can affect downstream analyses in studies that compare CNV rates in cases vs. controls in pedigrees. In this paper, we show that the Joint‐model can introduce different CNV call rates among family members in the absence of a true difference. We show that the Joint‐model may analytically introduce differential CNV calls because of asymmetry of the model. We demonstrate these differential call rates using single‐marker simulations. We show that call rates using the two modes of PennCNV also differ between parents and offspring in one multimarker simulated dataset and two real datasets. Our results advise need for caution in use of the Joint‐model calls in CNV association studies with family‐based datasets. Genet. Epidemiol. 36:488‐498, 2012. © 2012 Wiley Periodicals, Inc.
Finite-width, finite-thickness, and saturation effects in solid-rotor induction machines

A theory for the solid-rotor induction machine is developed such that the finite width and thickness of the rotor as well as its saturation are taken into account. An axial-airgap disc-type motor is considered as an example, for which an equivalent circuit is developed, terminal characteristics are computed and compared with experimental results. The validity of the theory is thus demonstrated. Although the disc motor is used as an example, the theory is applicable to single-sided linear induction motors and other solid-rotor eddy-current motors.
Polymorphism of the BCO2 gene and the content of carotenoids, retinol, and α-tocopherol in the liver and fat of rabbits

ABSTRACT The study was carried out to evaluate the effect of AAT-deletion mutation at codon 248 of the BCO2 gene on the content of lutein, β-carotene, retinol, and α-tocopherol in the liver and fat of crossbred rabbits. The experimental animals comprised 90 rabbits, produced by reciprocal crossing between ins/del heterozygous parents of Flemish Giant, New Zealand Red, and Termond White breeds. All rabbits in the litter were genotyped, given the same diet, and finally slaughtered at 140 d of age. [. ]
Strengthening the Students’ Character by Social Science Learning Process Based on Noble Values of Ki Hajar Dewantara’s Teaching

The research was based on the condition of the Junior Social Science learning in Klaten Regency which is far from expectations. Learning it is still focused on the realm of cognitive, psychomotor and affective domains but less touching. The objectives of this research are (1) to investigate the reasons why social science learning based on noble values of Ki Hajar Dewantara’s teaching is effective to strengthen the students’ character, (2) to describe the effectiveness of social science learning process based on noble values of Ki Hajar Dewantara’s teaching to strengthen the students’ character, and (3) to compare the effectiveness of the strengthening the students’ character of social science learning process through the noble values of Ki Hajar Dewantara’s teaching and conventional social science learning. This research used the qualitative and quantitative paradigm (mixed methods). The population was the students in grade VIII of State Junior High Schools in Klaten Regency. The samples consisted of 116 students from 4 classes. The data were collected through: (1) in-depth interview, (2) observation, and (3) documentation, (4) questionnaire, and (5) test. The data were analyzed by interactive model and using statistic: analysis of different test, started by testing normality and homogeneity of the data. The results of research are as follows: (1) the reasons why social science learning based on noble values of Ki Hajar Dewantara’s teaching is effective to strengthen the students’ character include the following the noble values of Ki Hajar Dewantara’s teaching is from original values of Indonesian, practical, realistic, and easy in its application, (2) Social science learning based on noble values of KHD is more effective in enhancing the students’ understanding of character education, and it is more effective than the conventional learning as indicated by the results of the difference tests, and (3) From the results of the analysis of the data shows, t value : t table in significance level of 5% = 9,612 : 1,980; t value > t table; it means that the result is significant. The conclusion drawn from this research shows that there is a significant different. Keywords: noble values of Ki Hajar Dewantara’s teaching, students’ character
AN EXPERIMENTAL EVALUATION ON THE ANTI INFLAMMATORY ACTIVITY OF LEAVES OF KARANJA ( PONGAMIA PINNATA LINN. PIERRE )

Karanja ( Pongamia pinnata Linn . Pierre) of Papilionaceae family grows throughout India. It is easily available, cost effective and have been described in various Samhitas and Nighantus. Indication of Karanja patra in Shotha is seen in Bhavaprakasha Nighantu and Kaiyadeva Nighantu, thus indicating its Anti inflammatory activity. Many of the drugs we are using as Shothahara is the roots, hence to avoid the de struction of the whole plant the present study of evaluating the Anti inflammatory activity of Karanja patra which is easily available throughout the country has been taken up. In vivo anti inflammatory activity of the drug was evaluated in Wistar albino r ats using Carrageenan induced paw edema for acute inflammation and Cotton pellet implanted granuloma formation for Chronic inflammation. The experimental study reveals that the drug Karanja ( Pongamia pinnata Linn. Pierre.) at 4.32 ml rat dose possess ant i inflammatory activity especially in acute inflammation. Conclusion: Karanja ( Pongamia pinnata Linn Pierre) leaves in 4.32 ml /kg rat dose is said to have Shothahara (Anti inflammatory) activity especially in acute inflammation is justified.
Accelerating last-mile web performance with popularity-based prefetching

As broadband speeds increase, latency is becoming a bottleneck for many applications—especially for Web downloads. Latency affects many aspects ofWeb page load time, from DNS lookups to the time to complete a three-way TCP handshake; it also contributes to the time it takes to transfer the Web objects for a page. Previous work has shown that much of this latency can occur in the last mile [2]. Although some performance bottlenecks can be mitigated by increasing downstream throughput (e.g., by purchasing a higher service plan), in many cases, latency introduces performance bottlenecks, particularly for connections with higher throughput. To mitigate latency bottlenecks in the last mile, we have implemented a system that performs DNS prefetching and TCP connection caching to the Web sites that devices inside a home visit most frequently, a technique we call popularity-based prefetching. Many devices and applications already perform DNS prefetching and maintain persistent TCP connections, but most prefetching is predictive based on the content of the page, rather than on past site popularity. We evaluate the optimizations using a simulator that we drive from traffic traces that we collected from five homes in the BISmark testbed [1]. We find that performing DNS prefetching and TCP connection caching for the twenty most popular sites inside the home can double DNS and connection cache hit rates.
Chapter 8: The first 80 years of life A psychiatric epidemiological study

INTRODUCTION A longitudinal study of an Icelandic birth cohort will be reviewed briefly in this paper. The study was initially designed in 1956 to contribute to the descriptive and comparative epidemiology of mental disorders. At that time the main emphasis of the study was on functional disorders. Earlier reports [Tbmasson (1938), Helgason (1983)j had indicated that the expectancy of developing mental disorder in Iceland was higher than in many other countries, especially that of developing manic-depressive illness. In order to clarify this issue a study which was menthodologically comparable to some existing studies was needed. The methodological issues which had to be resolved were sampling procedure, case finding and diagnostic criteria. These issues were resolved by the biographical approach of the birth register method and collecting catamnestic information on all members of a birth cohort up to a certain age as Fremming (1947) had done on the Danish island of Bornholm. But in order to secure the diagnostic comparability with the Danish study it was necessary to review the case summaries with Danish colleagues. This could be realized when Professor Stromgren in 1959 placed facilities at the Institute of Psychiatric Demography in Aarhus at the first author’s disposal. 85 . 86 . 88 . 92
Renal sympathetic denervation for the treatment of resistant hypertension with chronic renal failure: first-in-man experience.

39-year-old man with resistant hypertension, presented with headache and dizziness at the emergency department on January 6, 2012. The patient had a history of hypertension for 3 years, his highest blood pressure was 250/110 mmHg, and he was taking antihypertensive medication regimens for at least 6 months. A mitral replacement by bioprosthetic valve had been implanted 6 months before. The patient was in chronic renal failure (CRF) uremia, maintenance of which he underwent the standard hemodialysis treatment three times a week for 6 months. Hemodialysis was done using anti-seepage, bicarbonate dialysate, the German Fresenius 4008S dialysis machine, with a blood flow of an average of 240 ml/min, dialysis flow 500 ml/min, 4 hours/time. Coronary artery disease, secondary hypertension, and type 2 diabetes mellitus were excluded. After admission, this patient was subjected to ambulatory blood pressure monitoring and adrenal computed tomography. Estimated glomerular filtration rate (eGFR) was calculated by simple modification of diet in renal disease (MDRD) equation for Chinese. All blood samples were taken a day before dialysis in order to exclude interference.