Miracle-dz/UniFAR-FTUs huggingface dataset:
Family Firm Goals and Their Effects on Strategy, Family and Organization Behavior: A Review and Research Agenda

Goals are a key differentiator between family businesses and non&#8208;family businesses. To improve understanding of this topic, the authors take stock of what they know about goals in family business. They synthesize prior research findings and classify the research into five categories: family business goal antecedents; goal characteristics; goal&#8208;related outcomes; moderators of goal outcomes; and feedback loop. The paper concludes by highlighting future research to advance both family business goal and general management research.
A three-phase line flow calculation approach for distribution automation

A fast and high-efficient sensitivity-based approach for real-time three-phase line flow calculation is proposed in this paper, this approach combines the three-phase power-flow (TPPF) solution techniques with the new sensitivity factor, named three-phase ZBUS distribution factor (TPZBD). The TPZBD is associated with both the changes of real and reactive power injections of individual phase at each bus into the three-phase line flow. Hence, the proposed TPZBD directly reflects load demand changes to the line flow. Accordingly, any feasible TPPF solution technique must be used to solve for the base case line flow solution at first time, based on the solution and TPZBD formulas, the real-time three-phase line flow is determined rapidly by the presented approach without any iteration after load demand changes. Finally, a 7-node sample system that is modified from Taipower distribution feeders is used to test the proposed approach. The results of this paper demonstrate that the proposed approach is capable of calculating real-time three-phase line flow for distribution automation.
Disease-specific probabilistic brain atlases

Atlases of the human brain, in health and disease, provide a comprehensive framework for understanding brain structure and function. The complexity and variability of brain structure, especially in the gyral patterns of the human cortex, present challenges in creating standardized brain atlases that reflect the anatomy of a population. This paper introduces the concept of a population-based, disease-specific brain atlas that can reflect the unique anatomy and physiology of a particular clinical subpopulation. Based on well-characterized patient groups, disease-specific atlases contain thousands of structure models, composite maps, average templates, and visualizations of structural variability, asymmetry and group-specific differences. They correlate the structural, metabolic, molecular and histologic hallmarks of the disease. Rather than simply fusing information from multiple subjects and sources, new mathematical strategies are introduced to resolve group-specific features not apparent in individual scans. High-dimensional elastic mappings, based on covariant partial differential equations, are developed to encode patterns of cortical variation. In the resulting brain atlas, disease-specific features and regional asymmetries emerge that are not apparent in individual anatomies. The resulting probabilistic atlas can identify patterns of altered structure and function, and can guide algorithms for knowledge-based image analysis, automated image labeling, tissue classification, data mining and functional image analysis.
Harassment Trainings: A Content Analysis

Harassment training programs are ubiquitous, yet researchers have not systematically examined their content or how they have changed over time. This study begins to fill that gap through a content analysis of 74 current and historical harassment trainings spanning a period of 1980 to 2016. Results suggest that trainings are heavily influenced by early content developed in the 1980s and early 1990s. Changes in training content over time are like software updates, periodically adding new features without fundamentally altering the nature of the training. Consequently, contemporary trainings include large quantities of tangential legal information and overemphasize sexual conduct at the expense of other forms of harassment. They also tend to suggest that relatively trivial slights could give rise to harassment-related liability. Overall, trainings tend to gloss over the discrimination-based origins and purpose of harassment law, which might otherwise serve as a moral anchor for the trainings. I discuss the costs and benefits of this approach, and offer some ideas for future directions in training.
Trends and Challenges in EMG Based Control Scheme of Exoskeleton Robots- A Review

In the present review article the application of robotics in the medical field has been explored. Exoskeleton robots are being used in rehabilitation, extending the strength of humans and substituting for lost limbs. Present focus of research is in the area of active powered exoskeleton robots especially surface electromyogram (sEMG) controlled ones. We restrict our discussion to sEMG based control scheme only as EMG signals provide rich motor control information from which the user's intention can be detected, thereby making EMG the most suited approach for designing exoskeleton robots. Usually exoskeleton robots are worn by patients with disabilities; hence their control should be as efficient as possible so as to closely mimic natural human motion. This consideration makes the implementation of sEMG exoskeleton robots very challenging. We review the various sEMG based control schemes which are presently employed in designing exoskeleton robots and discuss the challenges faced in these schemes.
Biosynthetic Chlorination of the Piperazate Residue in Kutzneride Biosynthesis by KthP

Kutznerides 2 and 8 of the cyclic hexadepsipeptide family of antifungal natural products from the soil actinomycete Kutzneria sp. 744 contain two sets of chlorinated residues, a 6,7-dichlorohexahydropyrroloindole moiety derived from dichlorotryptophan and a 5-chloropiperazate moiety, as well as a methylcyclopropylglycine residue that may arise from isoleucine via a cryptic chlorination pathway. Previous studies identified KtzD, KtzQ, and KtzR as three halogenases in the kutzneride pathway but left no candidate for installing the C5 chlorine on piperazate. On the basis of analysis of the complete genome sequence of Kutzneria, we now identify a fourth halogenase in the pathway whose gene is separated from the defined kutzneride cluster by 12 open reading frames. KthP (kutzneride halogenase for piperazate) is a mononuclear nonheme iron halogenase that acts on the piperazyl ring tethered by a thioester linkage to the holo forms of thiolation domains. MS analysis of the protein-bound product confirmed chlorination of the piperazate framework from the (3S)- but not the (3R)-piperazyl-S-pantetheinyl thiolation proteins. After thioesterase-mediated release, nuclear magnetic resonance was used to assign the free imino acid as (3S,5S)-5-chloropiperazate, distinct from the 3S,5R stereoisomer reported in the mature kutznerides. These results demonstrate that a fourth halogenase, KthP, is active in the kutzneride biosynthetic pathway and suggest further processing of the (3S,5S)-5-chloropiperazate during subsequent incorporation into the kutzneride depsipeptide frameworks.
The Factorization Method with Linear Motions

In this paper we describe the factorization method with linear motions. We design an uni ed representation of scene structure and moving objects by assuming that the objects are moving linearly and with constant speeds. The representation enables the subspace constraints be used to the measurement matrix so that the scene structure, moving trajectories and camera motion are reconstructed simultaneously. We also discuss the solutions for degenerate cases. Preliminary results on synthetic data are also presented. @1999 Carnegie Mellon University
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders

Deep architectures have been used in transfer learning applications, with the aim of improving the performance of networks designed for a given problem by reusing knowledge from another problem. In this work we addressed the transfer of knowledge between deep networks used as classifiers of digit and shape images, considering cases where only the set of class labels, or only the data distribution, changed from source to target problem. Our main goal was to study how the performance of knowledge transfer between such problems would be affected by varying the number of layers being retrained and the amount of data used in that retraining. Generally, reusing networks trained for a different label set led to better results than reusing networks trained for a different data distribution. In particular, reusing for less classes a network trained for more classes was beneficial for virtually any amount of training data. In all cases, retraining only one layer to save time consistently led to poorer performance. The results obtained when retraining for upright digits a network trained for rotated digits raise the hypothesis that transfer learning could be used to better deal with image classification problems in which only a small amount of labelled data is available for training.
How do teaching assistants view their role in managing behaviour and cultivate their learning and understanding in relation to managing behaviour

This paper will consider how teaching assistants’ (TAs’) roles are changing from the historical ‘mum’s army’ (Bach Kessler & Heron, 2006) of paint-pot washers, as some considered it pre-national curriculum, to the developing conception of the TA as a ‘paraprofessional’. Contemporary issues arising from the loosely defined current expectations of TAs’ wider pedagogical role will also be discussed. Consideration will be given to how and why managing behaviour has become an expectation and a necessity for TAs in their current deployment in schools, and why learning about managing behaviour differs for TAs and teachers. Additionally the paper will reflect on the specific challenges facing TAs in managing behaviour. How TAs learn from each other in communities of practice, as well as from teachers and senior leaders, will be explored. Furthermore, how behaviour policies and policy implementation generally can influence TAs’ opportunities to promote their own learning will be reviewed.
Hippocampus minor and man's place in nature: A case study in the social construction of neuroanatomy

In mid‐19th century Britain the possibility of evolution and particularly the evolution of man from apes was vigorously contested. Among the leading antievolutionists was the celebrated anatomist and paleontologist Richard Owen and among the leading defenders of evolution was Thomas Henry Huxley. The central dispute between them on human evolution was whethe or not man's brain was fundamentally unique in having a hippocampus minor (known today as the calcar avis), a posterior horn in the lateral ventricle, and a posterior lobe. The author considers the background of this controversy, the origin and fate of the term hippocampus minor, why this structure became central to the question of human evolution, and how Huxley used it to support both Darwinism and the political ascendancy of Darwinians. The use of ventricular structures to distinguish humans from other animals appears to reflect an importance given to the ventricles that stretches back to ancient Greek medicine. This account illustrates both the extraordinary persistence of ideas in biology and the role of the political and social matrix in the study of the brain.
Scherk-Schwarz reduction of M-theory on G2-manifolds with fluxes

We analyse the 4-dimensional effective supergravity theories obtained from the Scherk-Schwarz reduction of M-theory on twisted 7-tori in the presence of 4-form fluxes. We implement the appropriate orbifold projection that preserves a G2-structure on the internal 7-manifold and truncates the effective field theory to an N = 1, D = 4 supergravity. We provide a detailed account of the effective supergravity with explicit expressions for the Kahler potential and the superpotential in terms of the fluxes and of the geometrical data of the internal manifold. Subsequently, we explore the landscape of vacua of M-theory compactifications on twisted tori, where we emphasize the role of geometric fluxes and discuss the validity of the bottom-up approach. Finally, by reducing along isometries of the internal 7-manifold, we obtain superpotentials for the corresponding type IIA backgrounds.
Chronic Treatment with Ivabradine Does Not Affect Cardiovascular Autonomic Control in Rats

A low resting heart rate (HR) would be of great benefit in cardiovascular diseases. Ivabradine—a novel selective inhibitor of hyperpolarization-activated cyclic nucleotide gated (HCN) channels- has emerged as a promising HR lowering drug. Its effects on the autonomic HR control are little known. This study assessed the effects of chronic treatment with ivabradine on the modulatory, reflex and tonic cardiovascular autonomic control and on the renal sympathetic nerve activity (RSNA). Male Wistar rats were divided in 2 groups, receiving intraperitoneal injections of vehicle (VEH) or ivabradine (IVA) during 7 or 8 consecutive days. Rats were submitted to vessels cannulation to perform arterial blood pressure (AP) and HR recordings in freely moving rats. Time series of resting pulse interval and systolic AP were used to measure cardiovascular variability parameters. We also assessed the baroreflex, chemoreflex and the Bezold-Jarish reflex sensitivities. To better evaluate the effects of ivabradine on the autonomic control of the heart, we performed sympathetic and vagal autonomic blockade. As expected, ivabradine-treated rats showed a lower resting (VEH: 362 ± 16 bpm vs. IVA: 260 ± 14 bpm, p = 0.0005) and intrinsic HR (VEH: 369 ± 9 bpm vs. IVA: 326 ± 11 bpm, p = 0.0146). However, the chronic treatment with ivabradine did not change normalized HR spectral parameters LF (nu) (VEH: 24.2 ± 4.6 vs. IVA: 29.8 ± 6.4; p > 0.05); HF (nu) (VEH: 75.1 ± 3.7 vs. IVA: 69.2 ± 5.8; p > 0.05), any cardiovascular reflexes, neither the tonic autonomic control of the HR (tonic sympathovagal index; VEH: 0.91± 0.02 vs. IVA: 0.88 ± 0.03, p = 0.3494). We performed the AP, HR and RSNA recordings in urethane-anesthetized rats. The chronic treatment with ivabradine reduced the resting HR (VEH: 364 ± 12 bpm vs. IVA: 207 ± 11 bpm, p < 0.0001), without affecting RSNA (VEH: 117 ± 16 vs. IVA: 120 ± 9 spikes/s, p = 0.9100) and mean arterial pressure (VEH: 70 ± 4 vs. IVA: 77 ± 6 mmHg, p = 0.3293). Our results suggest that, in health rats, the long-term treatment with ivabradine directly reduces the HR without changing the RSNA modulation and the reflex and tonic autonomic control of the heart.
An improving online accuracy updated ensemble method in learning from evolving data streams

Most stream classifiers need to detect and react to concept drifts, as traditional machine learning goes to big data machine learning. The most popular ways to adaptive to concept drifts are incrementally learning and classifier dynamic ensemble. Recent years, ensemble classifiers have become an established research line in this field, mainly due to their modularity which offers a natural way of adapting to changes. However, many ensembles which process instances in blocks do not react to sudden changes sufficiently quickly, and which process streams incrementally do not offer accurate reactions to gradual and incremental changes. Fortunately, an Online Accuracy Updated Ensemble (OAUE) algorithm was presented by Brzezinski and Stefanowski. OAUE algorithm has been proven to be an effective ensemble to deal with drifting data stream. But, it has a potentially weakness to adaptive to sudden changes as it uses a fixed window. Therefore, we put forward a Window-Adaptive Online Accuracy Updated Ensemble (WAOAUE) algorithm, which is based on OAUE, and a change detector is added to the ensemble for deciding the window size of each candidate classifier. The proposed algorithm was experimentally compared with four state-of-the-art online ensembles, include OAUE, and provided best practice for big data stream mining.
An Experimental Investigation of Advertising Persuasiveness: Is Impact in the Eye of the Beholder?

Using an experimental design of actual ads shown to a representative sample of viewers rivaling the size of many " large-n " observational studies during the course of the 2000 U.S. Presidential election, we examine the extent to which candidate produced messages affect individuals' decisions in the ballot box and whether these messages are more persuasive for some individuals than others. We find clear evidence that an ad's persuasiveness depends critically on the characteristics of its viewers. We show: 1] voters with an initial preference for either Bush or Gore but who are politically unengaged move together in response to ads, 2] the response of highly engaged voters with an initial candidate preference depends on their initial preference – there is some evidence that highly engaged voters polarize when exposed to political ads, and 3] undecided voters are the least responsive to ads and exposure results in increased indecision. 3 Elections are arguably the most essential means by which citizens interact with elected officials and they are the primary mechanism by which politicians are made accountable to the electorate. Considering the stakes involved, it is unsurprising that a tremendous amount of resources – both public and private – are spent during elections. Given that televised campaign advertising is a leading recipient of these resources in contemporary campaigns, understanding how candidates' televised messages affect their support in the electorate is critical for any assessment for the ability of citizens to exercise informed oversight in the electoral process. While the effects of political ads on voter learning and turnout have been the subject of considerable debate and research, 4 we know comparatively little about the effect of political advertising on actual vote choice. 5 We lack a definitive understanding of the extent to which candidate produced messages affect individuals' decisions in the ballot box and whether candidate messages are more influential on some individuals' decisions than others. The state of the literature on advertising effects reflects a broader challenge facing scholars of political media effects. Despite some important recent advances, Bartels' decade old assertion that " the state of research on media effects is one of the most notable embarrassments of modern social science " continues to ring true in part due to the considerable complications confronting observational and experimental research (Bartels 1993). The large sample sizes of observational studies provide the ability to examine media impact on different subsets of the …
A Class of Solidarity Allocation Rules for TU-games

A new class of allocation rules combining marginalistic and egalitarian principles is introduced for cooperative TU-games. It includes some modes of solidarity among the players by taking the collective contribution of some coalitions to the grand coalition into account. Relationships with other class of allocation rules such as the Egalitarian Shapley values and the Procedural values are discussed. Two axiomatic characterizations are provided: one of the whole class of allocation rules, and one of each of its extreme points.
Optical fault injection attacks for flash memory of smartcards

Flash memory, as a storage medium, is normally featured with high security, and thus often contains sensitive data such as passwords, cryptographic keys and other confidential contents. Optical fault injection attack is a conventional way that aims at extracting the information stored on memories. However, it has not been developed yet using this method to attack flash memories of modern micro smartcards. In this paper, the attack on flashes with optical fault injection is analyzed theoretically, and the experimental process is presented in detail. Experimental results show that some certain bytes of data can be changed into known value with optical fault injection attacks. In the read/write process, some secure information can be obtained by this approach of attack. The feature of the fault injection attack on flashes shown in the experiment can be utilized to bypass the verify operation of certain changed bytes and to guess the remaining original bytes to gain contents stored in non-volatile memories.
A Genetic Algorithm-Based Approach for Selecting Input Variables and Setting Relevant Network Parameters of a SOM-Based Classifier

Variable selection is an important task in machine learning and data mining applications. In many real world problems a huge volume of data is often available which corresponds to a large number of variables. When developing a model for classification, clustering or other applications, the search of an optimal subset of relevant input variables is crucial. In this paper an automatic variable selection method, which combines Genetic Algorithms and Self Organizing Maps, is proposed for classification purposes. The Genetic Algorithm is used to select the most relevant input variables and to set some relevant parameters of a classifier implemented through a Self Organizing Map. This method has been tested with several datasets belonging to the UCI repository. The results of the tests are presented and discussed in this paper. The proposed approach provides a good classification accuracy and contributes to the comprehension of the phenomenon under consideration. Keywordsvariable selection, feature selection, genetic algorithms, Self Organizing Maps, classification.
On Ontological Foundations of Conceptual Modelling: A Response to Wyssusek

We welcome this opportunity to respond to Wyssusek’s (2006) critique of our work on the ontological foundations of conceptual modeling and, more generally, the ontological foundations of information systems. We appreciate his interest in and his undertaking a careful analysis of our work. We hope, in turn, that our responses will sharpen our discourse—to pinpoint more clearly where we agree and where we disagree. In the sections below, we first indicate briefly where we agree for the most part with Wyssusek’s arguments. We then address in more depth those areas where we are at odds with his views. Our goal is to debunk his arguments about how our work is flawed. Next, we address two matters that we see as incidental to Wyssusek’s and our respective positions. Nonetheless, these matters seem important to him in terms of his criticisms of our work. Finally, we provide some brief conclusions.