Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship management for innovation: the central role of communication in australia's participation in two hi-tech industries

Individuals make decisions about whether innovations are adopted and transferred to new uses or locations. This Paper argues that relational competence Is critical for innovation management and technology transfer and that personal communication, formal and informal, is the core component in such competence. It shows how “close ties” and communication are critical to innovation, particularly given the changing nature and role of technolop management in the context o f rapidly increasing globalization. This is illustrated with reference to the communication in he mindset and practice of technology partnering in Australia's participation in the aerospace and telecommunications industries.
Growth and Change in the Vietnamese Labour Market: A decomposition of forecast trends in employment over 2010-2020

We forecast detailed trends for employment by industry, occupation and qualification in Vietnam for the period 2010 - 2020. The forecast is conducted using VNET - a large-scaled computable general equilibrium (CGE) model of the Vietnamese economy. Inputs into the forecast include independent projections for changes in macroeconomic variables; trend movements in variables describing the details of industry input requirements and household preferences; assumptions relating to Vietnam's foreign trading environment; and projections for government policies. A decomposition analysis is used to identify the contribution of each of the exogenous shocks to the forecast outcomes. This analysis facilitates transparency in forecasting by clearly distinguishing and ranking the factors responsible for generating a particular forecast outcome. It also helps researchers to focus research effort towards improving estimates for those inputs to the simulation that have the most bearing on the outcomes forecast for the labour market.
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions

Visual attributes, which refer to human-labeled semantic annotations, have gained increasing popularity in a wide range of real world applications. Generally, the existing attribute learning methods fall into two categories: one focuses on learning user-specific labels separately for different attributes, while the other one focuses on learning crowd-sourced global labels jointly for multiple attributes. However, both categories ignore the joint effect of the two mentioned factors: the personal diversity with respect to the global consensus; and the intrinsic correlation among multiple attributes. To overcome this challenge, we propose a novel model to learn user-specific predictors across multiple attributes. In our proposed model, the diversity of personalized opinions and the intrinsic relationship among multiple attributes are unified in a common-to-special manner. To this end, we adopt a three-component decomposition. Specifically, our model integrates a common cognition factor, an attribute-specific bias factor and a user-specific bias factor. Meanwhile Lasso and group Lasso penalties are adopted to leverage efficient feature selection. Furthermore, theoretical analysis is conducted to show that our proposed method could reach reasonable performance. Eventually, the empirical study carried out in this paper demonstrates the effectiveness of our proposed method.
Core-valence and core-core correlation effects on hyperfine-structure parameters and oscillator strengths in Tl

We report on large-scale ab initio multiconfiguration Dirac-Fock calculations of hyperfine-structure parameters and oscillator strengths for the lowest few levels in Tl II and Tl III. The effect of both core-valence and core-core correlation on these properties is investigated, probing effects of all core subshells. The agreement with most experiments is excellent. These data are of vital interest for the interpretation of recent spectra of the chemically peculiar star chi Lupi.
Extended DNF Expression and Variable Granularity in Information Tables

An information table or a training/designing sample set is all that can be obtained to infer the underlying generation mechanism (distribution) of tuples or samples. However, how an information table is available in representation, in treatment, and in interpretation, can still be discussed. In this paper, these matters are discussed on the basis of ldquogranularity.rdquo First, an explanation is given to identify the reasons why different goals/treatments of information tables exist in some different research fields. In this stage, it will be emphasized that ldquogranularity conceptrdquo plays an important role. Next, a framework of information tables is reformulated in terms of attribute sets and tuple sets. Here, a ldquoGalois connectionrdquo helps to understand their relationship. Then, the use of ldquoclosed subsetsrdquo is proposed instead of given tuples, for efficiency and for interpretability. With a special type of closed subsets, the traditional logical DNF expression framework can be naturally extended to those with multivalues and continuous values. Last, several concepts on rough sets are reformulated using ldquovariable granularityrdquo connected to closed subsets. This paper determines how and in what points granularity can give flexibility in dealing with several problems. Through several concepts defined in this paper, some intuitions toward development of data exploration and data mining are given.
Energy vs QoE Tradeoff of Dense Mobile Networks

Energy consumption is one of the primary concerns of modern dense small cell networks. One of the key concepts to improve the energy efficiency of a dense network is to turn off a part of its base stations (BS) when they are idle or only lightly loaded, since even then a considerable amount of energy is consumed. In this paper we analytically investigate the tradeoff between energy efficiency and user experience, which is measured in terms of users’ delay assuming a non-saturated traffic model. We provide an overall network performance with respect to the BS density and insights that can be valuable in terms of network design. Our analysis is based on a) a BS’s linear energy consumption model b) stochastic geometry to model the topology of the network and the users and c) queuing theory in order to capture the flow-level performance. Our model is being applied to the popular LTE radio access technology but it can easily be extend to others. Our results provide guidelines and bounds that are able to predict the energy efficiency of the designed network.
Diabetes trends in Latin America

The incidence of type 1 diabetes in Latin America ranges from 0.4 to 8.3 cases per 100 000 children under 15 years of age, and the prevalence of type 2 diabetes ranges from 1.2% to 8%, with higher prevalence rates in urban areas. The frequency of diabetes in Latin America is expected to increase by 38% over the next 10 years, compared with an estimated 14% increase in the total population. The total number of cases of diabetes is expected to more than double and to exceed the number of cases in the US, Canada, and Europe by 2025. Factors underlying this increase include aging and increased life expectancy of the population, increased urbanization, and lifestyle changes among Native American populations. In many places, only a minority of individuals currently receives treatment for diabetes. Furthermore, the diagnosis of type 2 diabetes often occurs late in the course of the disease, with the result that 10–40% of patients have chronic complications at the time of diagnosis. Hospital costs account for most direct expenditures associated with treatment, and mortality associated with diabetes has increased markedly in some areas over the past 2 decades. Copyright © 2002 John Wiley & Sons, Ltd.
Principal Component Analysis of Working Memory Variables during Child and Adolescent Development

Abstract Correlation and Principal Component Analysis (PCA) of behavioral measures from two experimental tasks (Delayed Match-to-Sample and Oddball), and standard scores from a neuropsychological test battery (Working Memory Test Battery for Children) was performed on data from participants between 6–18 years old. The correlation analysis (p < .05) results showed a common maturational trend in working memory performance between these two types of tasks. Applying PCA (Eigenvalues > 1), the scores of the first extracted component were significantly correlated (p < .05) to most behavioral measures, suggesting some commonalities of the processes of age-related changes in the measured variables. The results suggest that this first component would be related to age but also to individual differences during the cognitive maturation process across childhood and adolescence stages. The fourth component would represent the speed-accuracy trade-off phenomenon as it presents loading components with different signs for reaction times and errors.
Dose-response effects of bepridil in patients with persistent atrial fibrillation monitored with transtelephonic electrocardiograms: a multicenter, randomized, placebo-controlled,double-blind study (J-BAF Study).

BACKGROUND A multicenter, randomized, placebo-controlled, double-blind trial was conducted with patients with persistent atrial fibrillation (AF) to determine the dose-response effects and safety of bepridil, using every-day transtelephonic monitorings. METHODS AND RESULTS A total of 90 patients were randomized to receive placebo, 100 mg/day and 200 mg/day of bepridil treatment for 12 weeks. After the treatment, those patients who converted to sinus rhythm was 3.4% in placebo, 37.5% in those who received 100 mg/day and 69.0% in those who received 200 mg/day, thus demonstrating a linear dose-response relationship for AF conversion. The conversion rate gradually reached a maximal value at approximately 6 weeks after initiation of bepridil. However, the AF recurrence rate was high (91.7% in those receiving 100 mg/day and 75.0% in those receiving 200 mg/day). Adverse events, presumably related to the drug, were also frequent: ventricular tachycardia in 2, QT prolongation in 4 and sinus bradycardia in 2 patients. In those patients treated with 200 mg/day group, 1 patient died suddenly because of ventricular tachycardia. CONCLUSIONS This study demonstrated the dose response-relationships of bepridil for AF conversion to sinus rhythm. However, the high rate of AF recurrence and substantial drug-related adverse effects, including sudden death, raised caution about using bepridil to treat persistent AF. The balance between benefits and risks of the drug should be individualized.
Management Fads and Organizational Architecture

This article applies and extends the three‐part organizational framework used in the preceding article to a broad range of management innovations. After furnishing some interesting evidence of the rise and fall of management techniques such as TQM, Reengineering, Just‐in‐Time Production, and Activity‐Based Costing, the authors raise and then attempt to answer a number of questions: What explains the popularity of these management innovations? Why do they often fail to produce the expected benefits? How can managers tell if a particular technique is right for them? What can managers do to increase the likelihood that an adopted technique will be successful? The persistent, and at times seemingly insatiable, corporate demand for management innovations is viewed by the authors as a “rational” economic response by senior managers to major changes in the external business environment—changes that in turn dictate changes in business strategy. For example, when confronted with external changes such as deregulation or heightened global competition, companies often find it necessary to refocus their efforts on improving product quality and operating efficiency. And such changes in business strategy tend to require a revamping of the three critical components of organizational architecture: (1) assignment of decision rights, (2) performance evaluation systems, and (3) compensation systems. As the authors argue, innovations such as TQM, outsourcing, Re‐engineering, and JIT typically involve major changes in just one or two of these critical elements of the organization, but not all three. The failure to coordinate organizational changes in such a way that these three elements are mutually consistent and reinforcing is one important reason why management innovations can fail to meet expectations. The framework described in this article is designed to help managers considering one potentially valuable set of organizational changes to identify other facets of the organization that also require attention and perhaps complementary adjustments.
Supplier Selection for Framework Agreements in Humanitarian Relief

In this study, we consider the supplier selection problem of a relief organization that wants to establish framework agreements (FAs) with a number of suppliers to ensure quick and cost‐effective procurement of relief supplies in responding to sudden‐onset disasters. Motivated by the FAs in relief practice, we focus on a quantity flexibility contract in which the relief organization commits to purchase a minimum total quantity from each framework supplier over a fixed agreement horizon, and, in return, the suppliers reserve capacity for the organization and promise to deliver items according to pre‐specified agreement terms. Due to the uncertainties in demand locations and amounts, it may be challenging for relief organizations to assess candidate suppliers and the offered agreement terms. We use a scenario‐based approach to represent demand uncertainty and develop a stochastic programming model that selects framework suppliers to minimize expected procurement and agreement costs while meeting service requirements. We perform numerical experiments to understand the implications of agreement terms in different settings. The results show that supplier selection decisions and costs are generally more sensitive to the changes in agreement terms in settings with high‐impact disasters. Finally, we illustrate the applicability of our model on a case study.
HCMM - a maturity model for measuring and assessing the quality of cooperation between and within hospitals

Increased competition and market dynamics in healthcare force hospitals to intensify their efforts toward specialization and cooperation with others. In this paper, a maturity model is discussed that assists hospitals in evolving the required strategic, organizational, and technical capabilities in a systematic way so that the formation of collaborative structures and processes is efficient and effective. The so-called Hospital Cooperation Maturity Model (HCMM), queries a total of 36 reference points reflecting 3 distinct organizational dimensions relevant for the ability to cooperate. On the one hand it can be used as basis for benchmarking the quality of cooperation between a particular hospital and its business partners; on the other hand, it can also be applied as common ground for shared learning and improvement initiatives. In order to demonstrate its usability and applicability, an instantiation in form of a software prototype is presented. The paper ends with recommendations for healthcare practice and future research.
On the Output Effects of Barriers to Trade

We study the macroeconomic effects of international trade policy by integrating a Hecksher‐Ohlin trade model into an optimal-growth framework. The model predicts that a more open economy will have higher factor productivity. Furthermore, there is a “selective development trap” to which countries may or may not converge, depending on policy. Income at the development trap falls as trade barriers increase. Hence, cross-country differences in barriers to trade may help explain the dispersion of per capita income observed across countries. The effects are quantified, and we show that protectionism can explain a relevant fraction of TFP and long-run income differentials across countries. We study the effects of international trade policy on output. To do so, we analyze a standard neoclassical growth model, where countries can trade intermediate goods. The markets of these goods are structured as in the also-standard Hecksher‐ Ohlin trade model. Thus, trade happens owing to comparative advantage, which emerges from differences in factor endowments across countries. 2 We focus on the case of a small, price-taking economy. One can solve for equilibrium sequentially: first, each period’s output and trade can be treated as a static problem, and its solution can be summarized by a mapping from capital and labor to the output of the final good. Then, using that endogenous mapping as if it were an exogenous production function, one can solve the intertemporal decisions of agents in the economy. In that way, a potentially complex dynamic trade problem is avoided. It turns out that the equilibrium mapping linking inputs and final output is affected by tariffs, as the gains from trade impact not only welfare but also the availability and price of intermediate inputs, and hence productivity.
Ethology and stress diseases.

Many of us have been surprised at the unconventional decision of the Nobel Foundation to award this year’s prize ‘for Physiology or Medicine’ to three men who had until recently been regarded as ‘mere animal watchers’. Since at least Konrad Lorenz and I could not really be described as physiologists, we must conclude that our scientia amabilis is now being acknowledged as an integral part of the eminently practical field of Medicine. It is for this reason that I have decided to discuss today two concrete examples of how the old method (1) of ‘watching and wondering’ about behaviour (which incidentally we revived rather than invented) can indeed contribute to the relief of human suffering in particular of suffering caused by stress. It seems to me fitting to do this in a city already renowned for important work on psychosocial stress and psychosomatic diseases (2). My first example concerns some new facts and views on the nature of what is now widely called Early Childhood Autism. This is a set of behavioural aberrations which Leo Kanner first described in 1943 (3). To us, i.e. my wife Elisabeth and me, it looks as if it is actually on the increase in a number of western and westernised societies. From the description of autistic behaviour or Kanner’s syndrome (4) it is clear, even to those who have not themselves seen these unfortunate children, how crippling this affliction is. In various degrees of severity, it involves, among other things: a total withdrawal from the environment; a failure to acquire, or a regression of overt speech, and a serious lagging behind in the acquisition of numerous other skills; obsessive preoccupation with a limited number of objects; the performance of seemingly senseless and stereotyped movements; and an EEG pattern that indicates high overall arousal. A number of autists recover (some of them ‘spontaneously’) but many others end up in mental hospitals, where they are then often diagnosed, and treated, as schizophrenics. In spite of a growing volume of research on the subject (5), opinions of medical experts on how to recognise autism, on its causation, and therefore on the best treatment vary widely. Let me consider this briefly, point by point. 1. There is disagreement already at the level of diagnosis and labeling. For instance, for 445 children Rimland compared the diagnosis given by the doctor who was consulted first, with a ‘second opinion’ (6). If the art of diagnosis had any objective basis, there should be a positive correlation between first and second opinions. In fact, as Rimland points out, there is not a trace of such a correlation the diagnoses are practically random (Table 1). What
From Xetal-II to Xetal-Pro: On the Road Toward an Ultralow-Energy and High-Throughput SIMD Processor

Looking forward to the next generation of mobile streaming computing, the demanded energy efficiency of end-user terminals will become ever stringent. The Xetal-Pro processor, which is the latest member of the Xetal low-power single-instruction multiple data (SIMD) processor family from Philips, is presented in this paper. The predecessor of Xetal-Pro, known as Xetal-II, already ranks as one of the most computational-efficient [in terms of giga operations per second (GOPS)/Watt] processors available today, however, it cannot yet achieve the demanded energy efficiency (less than 1 pJ per operation). Unlike Xetal-II, Xetal-Pro supports ultrawide supply voltage (Vdd) scaling from the nominal supply to the subthreshold region. Although aggressive Vdd scaling causes severe throughput degradation, this can be partly compensated for by the massive parallelism in the Xetal family. Xetal-II includes a large on-chip frame memory (FM), which cannot be scaled well to an ultralow Vdd hence creating a big obstacle to increase energy efficiency. Therefore, we investigate both different FM realizations and memory organization alternatives. A hybrid memory system (HMS), which reduces the non-local memory traffic and enables further Vdd scaling, is proposed. For design space exploration of the right number of the scratchpad memory (SM) entries, the corresponding data locality analysis is provided, too. Moreover, some unique circuit implementation issues of Xetal-Pro such as the customized level-shifter are also discussed. Compared to Xetal-II operating at the nominal voltage, Xetal-Pro provides up to two times energy efficiency improvement even without Vdd scaling (essentially a consequence of data localization in the SM) when delivering the same amount of ultrahigh throughput. With Vdd scaling into the sub/near threshold region, Xetal-Pro could gain more than ten times energy reduction while still delivering a high throughput of 0.69 GOPS (counting multiply and add operations only). The new insight of Xetal-Pro sheds light on the direction of future ultralow-energy SIMD processors.
Raising the profile of social enterprises: the use of social return on investment (SROI) and investment ready tools (IRT) to bridge the financial credibility gap

Purpose – To evaluate the potential of social return on investment (SROI) and investment ready tools (IRT) in enabling social enterprises to address the credibility gap associated with their ability to build capacity and to adopt a more commercial/entrepreneurial approach to their activities.Design/methodology/approach – The differences that exist between social and financial returns in social enterprises are discussed. Reports the results of interviews conducted with key informants from the social investment industry in Scotland and England to explore their personal understanding or experience of SROI, the tools they use at present to assess social enterprise sustainability and capacity for growth and potential for investment, their likes and dislikes of SROI, and how they see SROI moving forward in a Scottish and/or UK context.Findings – The results indicated that, should social enterprises find a way to overcome the resource implications of implementing SROI, this would enable them to become the prefer.