Miracle-dz/UniFAR-FTUs huggingface dataset:
Achieving higher supply chain performance via business process orientation

Purpose The purpose of this paper is to explore the ways in which various dimensions of supply chain performance (SCP) can be improved through increased levels of process orientation across different core operational processes. This study aims to provide simple guidelines which are practical for business managers. Design/methodology/approach A conceptual model was developed based on the literature review and it was tested using an empirical study. Various factor analysis techniques are used to construct different components of the research model and test the hypotheses. Findings This study provides two main categories of findings. First, based on the exploratory analysis several constructs were developed. Second, using structural equation modeling the relationships among the constructs were examined. The findings suggest that managers need to take a targeted approach in increasing the levels of process orientation in order to achieve particular SCP goals. Research limitations/implications The result of this study is not indented to be generalized to all businesses; however, the methodology is flexible enough to be utilized in different industries and business scenarios. Practical implications The present study provides specific recommendations for business managers seeking to enhance various aspects of their organizational SCP. The research model can be used for future empirical as well as case studies. Originality/value This is the first comprehensive empirical study that separately measures business process orientation with respect to four core supply chain processes (planning, sourcing, making, and delivering) and assesses the impact of each core process on various dimensions of supply chain performance.
Optimized capacity bounds for the half-duplex Gaussian MIMO relay channel

In this paper, the optimization of the cut-set bound (CSB) and the achievable decode-and-forward (DF) rate for the half-duplex Gaussian multiple-input multiple-output (MIMO) relay channel is considered. In particular, it is shown that evaluating the cut-set bound and the maximal achievable DF rate is equivalent to solving convex optimization problems if perfect channel state information (CSI) is available at all nodes. Our work therefore extends results for the full-duplex relay channel, which we also revisit here, and it demonstrates that it is possible to efficiently determine (generally loose) bounds on the capacity of the half-duplex MIMO relay channel.
A Multi-Resolution Approach for Audio Classification

We describe a multi-resolution approach for audio classification and illustrate its application to the open data set for environmental sound classification. The proposed approach utilizes a multi-resolution based ensemble consisting of targeted feature extraction of approximation (coarse scale) and detail (fine scale) portions of the signal under the action of multiple transforms. This is paired with an automatic machine learning engine for algorithm and parameter selection and the LSTM algorithm, capable of mapping several sequences of features to a predicted class membership probability distribution. Initial results show an improvement in multi-class classification accuracy.
‘The mission or the margin?’ A high-performance work system in a non-profit organisation

Abstract Competitive and economic pressures have encouraged many non-profit organisations (NPOs) to implement high-performance work systems (HPWS); however, the objectives of such systems can contradict a ‘values-based approach’ to managing people. In this article, we ask how these two approaches to human resource management (HRM) can coexist and still result in a ‘strong HRM system’ and climate. Our unique case is an Australian Catholic NPO that combines a private and public hospital under the banner of Mercy Healthcare; the former must generate a surplus to fund the budget shortfall of the latter. Eighty-three interviews are combined with a range of secondary data, outlining the crises that motivated the implementation of a HPWS in a NPO. We identify a modified HPWS tempered by a values-orientation, softening potentially conflicting elements of strategic HRM and complementing the organisation’s deeply rooted Catholic values. Despite some conflict between what interviewees term ‘the balance between the mission and the margin’, careful alignment of organisational values with the HPWS resulted in a stronger climate, positive employee outcomes, and a high-performing HRM system. This article informs our understanding of how HPWS can contribute to NPO performance, and addresses the call for research on HRM in NPOs, and in particular, values-based systems of HRM.
Incorporating Contextual Information for Language-Independent, Dynamic Disambiguation Tasks

Humans resolve various kinds of linguistic ambiguities by exploiting available external evidence that has been acquired from modalities besides the linguistic one. This behavior can be observed for several languages, for English or German for example. In contrast, most natural language processing systems, parsers for example, rely on linguistic information only without taking further knowledge into account. While those systems are expected to correctly handle syntactically unambiguous cases, they cannot resolve syntactic ambiguities reliably. This paper hypothesizes that parsers would be able to ﬁnd non-canonical interpretations of ambiguous sentences, if they exploited external, contextual information. The proposed multi-modal system, which combines data-driven and grammar-based approaches, conﬁrmed this hypothesis in experiments on syntactically ambiguous sentences. This work focuses on the scarcely investigated relative clause attachment ambiguity instead of prepositional phrase attachment ambiguities, which are already well known in the literature. Experiments were conducted for English, German and Turkish and dynamic, i.e. highly dissimilar, contexts.
Classification of Foreign Body Reactions due to Industrial Silicone Injection

BACKGROUND A foreign body reaction (FBR) is a typical tissue response to a biomaterial that has been injected or implanted in human body tissue. There has been a lack of data on the classification of foreign body reaction to silicone injection, which can describe the pattern of body tissue responses to silicone. OBJECTIVE Determine the foreign body reaction to silicone injection. METHOD We modified the classification proposed by Duranti and colleagues, which has categorized a FBR to hyaluronic acid injection into a new classification of an FBR to silicone injection. A cohort study of 31 women suffering from silicone-induced granulomas on their chin was conducted. Granulomatous tissue and submental skin were stained with hematoxylin–eosin and evaluated. RESULTS Our data revealed that there were at least 7 categories of FBRs to silicone injection that could be developed. Categories 1 to 4 showed inflammatory activity, and categories 5 to 8 showed tissue repair by fibrosis. CONCLUSION Using histopathological staining, we are able to sequence the steps of body reactions to silicone injection. Initial inflammatory reaction is then replaced by fibrosis process repairing the damaged tissues. The process depends on the host immune tolerance.
Non‐LPS components of Chlamydia pneumoniae stimulate cytokine production through Toll‐like receptor 2‐dependent pathways

Recent studies suggest that infection with Chlamydia pneumoniae is associated with atherosclerosis, and that cytokines play an important role in the initiation and progression of Chlamydia‐induced inflammation. When freshly isolated peripheral blood mononuclear cells (PBMC) were stimulated for 24 h with sonicated C. pneumoniae, significant amounts of the pro‐inflammatory cytokines TNF‐α and IL‐1β and of the anti‐inflammatory cytokine IL‐10 were released into the supernatant. The addition of serum increased cytokine release induced by C. pneumonia two‐ to fivefold (p < 0.01). This effect was not due to complement, mannose‐binding lectin (MBL) or lipopolysaccharide‐binding protein (LBP). Incubation of PBMC with either anti‐Toll‐like receptor 4 (TLR4) or anti‐CD14 blocking antibodies did not influence the production of cytokines induced by Chlamydia. The induction of cytokines by C. pneumoniae in macrophages from C3H / HeJ mice, known to have a defective TLR4, was identical to that measured in control macrophages from C3H / HeN mice. In contrast, incubation of PBMC with an anti‐TLR2 blockingantibody significantly inhibited the production of TNF by 67 % and of IL‐1β by 72 %. In conclusion, C. pneumoniae stimulates cytokine production in a serum‐dependent manner, but independently of complement, MBL and LBP. C. pneumoniae induces the pro‐inflammatory cytokines TNF and IL‐1β through TLR2, but not TLR4 and CD14.
Study on corporate governance mechanisms

This paper aims to review the empirical studies done for finding a relationship between corporate governance and firm performance. The review covers major theoretical and empirical papers on corporate governance and firm performance in developed economies. Apart from studies done in developed economies, studies done in emerging economies are also included in the review. Using a wide ranging literature review, the paper looks at corporate governance practices and value creation from a managerial control perspective. As a result of the study it has been observed that corporate governance is related to corporate performance and adoption of better corporate governance practices lead to better firm performance. Another aspect from this study is that availability of legal recourse ensures effective working of corporate governance mechanisms. This being a review paper, one of the major limitations for this review paper is an unintentional omission of some literature because of non-availability or non-reachability. Literature that would have been present in languages other than English could also not be included in the review.
Integrated Eye-in-Hand / Eye-to-Hand Visual Servoing

In visual servoing there are two common setups for the positioning of the camera. The first one is called eye-to-hand and means that the camera is placed at a fixed point in the workspace. The other possibility is to attach the camera to the end-effector of the robot, this one is called eye-in-hand. The eye-to-hand setup has the advantage to have a panoramic sight of the workspace, whereas with eye-in-hand you have a very limited sight. But speaking about the accuracy the eye-in-hand approach is far ahead, because the camera is closer to the target and has the possibility to explore the workspace. Due to the fixed position of the eye-to-hand camera the pose in respect to the world coordinate system has to be established once, the eye-in-hand camera on the other hand has a fixed position in respect to the gripper.
IMPLEMENTING THE SUPPORTING PRIVACY PROTECTION IN CUSTOMIZED NET SEARCH

Personalized internet search (PWS) has in contestible its effectiveness in up the standard of varied search services on the net. However, evidences show that users’ reluctance to disclose their personal data throughout search has become a significant barrier for the wide proliferation of PWS. We have a tendency to study privacy protection in PWS applications that model user preferences as hierarchic user profiles. We have a tendency to propose a PWS framework known as UPS which will adaptively generalize profiles by queries whereas respecting user specified privacy necessities. Our runtime generalization aims at hanging a balance between 2 prophetic metrics that judge the utility of personalization and also the privacy risk of exposing the unrealized profile. We have a tendency to gift 2 greedy algorithms, specifically GreedyDP and GreedyIL, for runtime generalization. We have a tendency to additionally give an internet prediction mechanism for deciding whether or not personalizing a question is helpful. Intensive experiments demonstrate the effectiveness of our framework. The experimental results additionally reveal that GreedyIL considerably outperforms GreedyDP in terms of potency.
Fog Computing: An Overview of Big IoT Data Analytics

A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially based on nonstop operational states. Those IoT devices are generating an avalanche of information that is disruptive for predictable data processing and analytics functionality, which is perfectly handled by the cloud before explosion growth of IoT. Fog computing structure confronts those disruptions, with powerful complement functionality of cloud framework, based on deployment of micro clouds (fog nodes) at proximity edge of data sources. Particularly big IoT data analytics by fog computing structure is on emerging phase and requires extensive research to produce more proficient knowledge and smart decisions. This survey summarizes the fog challenges and opportunities in the context of big IoT data analytics on fog networking. In addition, it emphasizes that the key characteristics in some proposed research works make the fog computing a suitable platform for new proliferating IoT devices, services, and applications. Most significant fog applications (e.g., health care monitoring, smart cities, connected vehicles, and smart grid) will be discussed here to create a well-organized green computing paradigm to support the next generation of IoT applications.
Expression and functions of microRNA-139 in osteosarcoma

Osteosarcoma (OS), derived from the primitive bone-forming mesenchymal cells in the long bones, is the leading cause of cancer-related deaths in adolescents and children. MiRcroRNA-139 (miR-139) has been reported to be abnormally expressed and play important roles in several cancer types. However, the expression pattern, detailed biological roles and associated molecular mechanisms of miR-139 in OS have remained to be fully elucidated. This study showed that miR-139 expression was downregulated in OS tissues and cell lines. Upregulation of miR-139 significantly inhibited cell proliferation and invasion in OS. Bioinformatics analysis predicted that ROCK1 is a potential target of miR-139. Luciferase reporter assay demonstrated that miR-139 can directly interact with the 3’-untranslated region of ROCK1. RT-qPCR and Western blotting analysis demonstrated that miR-139 had regulatory effects on endogenous ROCK1 expression in OS. Furthermore, ROCK1 knockdown significantly produced effects similar to those induced by miR-139 overexpression in OS cells. Therefore, the miR-139/ROCK1 axis may be a potential target for novel potential therapeutic strategies for treatment of OS.
Vulnerability to domestic physical violence among married women in Indonesia

Purpose Due to the gender norms in Indonesia, married women are vulnerable to domestic violence perpetrated by their husband. With a paucity of studies on this issue, the purpose of this paper is to explore the vulnerability to domestic physical violence among married women in Indonesia by measuring the acceptance of being beaten by their husband and factors associated with married women’s approvals were also identified. Design/methodology/approach Secondary data analysis of three rounds of Indonesia Demographic and Health Survey in 2002/2003, 2007 and 2012 was performed. Data were analyzed descriptively to reveal the trend of women’s acceptance and binary logistic regression was applied to identify determinants. Findings Women’s acceptance of wife beating in some circumstances experienced an increase during 2002–2012. Determinants varied by type of beating justification. Overall, determinants fell into three groups of women’s, husband’s and household’s characteristics. Originality/value This study helps to identify determinants of women’s vulnerability to domestic physical violence and suggests some substantial approaches to address this pressing issue.
Comparison of the Economic Performance between Organic and Conventional Dairy Farms in the Swiss Mountain Region Using Matching and Stochastic Frontier Analysis

This thesis evaluates and compares the economic performance across organic and conventional dairy farms in the Swiss mountain region. To mitigate possible self-selection bias, matched groups of organic and conventional dairy farms with similar production possibilities are determined using exact and propensity score matching. Stochastic frontier analysis is then applied to estimate productivity differentials and technical efficiencies. Results reveal that organic farms are more productive converting input (labour, land, intermediate costs, capital) into output (revenues) while there are no significant differences in technical efficiencies. These findings suggest that the organic milk price overcompensates for lower yields in organic production leading to higher incomes. Thus switching into organic farming in the low intensive mountain region can improve the economic situation of conventional dairy farmers.
A metaheuristic and simheuristic approach for the p-HUB median problem from a telecommunication perspective

Recent advances in the telecommunication industry offer great opportunities to citizens and organizations in a globally-connected world, but they also arise a vast number of complex challenges that decision makers must face. Some of these challenges can be modeled as optimization problems. Examples include the framework of network utility maximization for resource allocation in communication networks, finding a network topology that satisfies certain properties associated with quality of service requirements, overlay multicast networks, and other important features for source to destination communication. First, this thesis provides a review on how metaheuristics have been used so far to deal with optimization problems associated with telecommunication systems, detecting the main trends and challenges. Particularly the analysis focuses on the network design, routing, and allocation problems. In addition, due to the nature of these challenges, this work discusses how the hybridization of metaheuristics with methodologies such as simulation can be employed to extend the capabilities of metaheuristics when solving stochastic optimization problems. Then, a popular optimization problem with practical applications to the design of telecommunication networks: the Uncapacitated Single Allocation p-Hub Median Problem (USApHMP) where a fixed number of hubs have unlimited capacity, each non-hub node is allocated to a single hub and the number of hubs is known in advance is analyzed in deterministic and stochastic scenarios. p-hub median problems are concerned with optimilaty of telecommunication and transshipment networks, and seek to minimize the cost of transportation or establishing. Next, Two immune inspired metaheuristics are proposed to solve the USApHMP, besides that, a two-stage metaheuristic which relies on the combination of biased-randomized techniques with an iterated local search framework and its integration with simulation Monte Carlo technique for solving the same problem is proposed. In order to show their efficiency, a series of computational tests are carried out using small and large size instances from the literature. These results contribute to a deeper understanding of the effectiveness of the
A Developmental Study of the Cerebellar Nucleus in the Catshark, a Basal Gnathostome

The output of the cerebellar cortex is mainly released via cerebellar nuclei which vary in number and complexity among gnathostomes, extant vertebrates with a cerebellum. Cartilaginous fishes, a basal gnathostome lineage, show a conspicuous, well-organized cerebellar nucleus, unlike ray-finned fishes. To gain insight into the evolution and development of the cerebellar nucleus, we analyzed in the shark Scyliorhinus canicula (a chondrichthyan model species) the developmental expression of several genes coding for transcription factors (ScLhx5,ScLhx9,ScTbr1, and ScEn2) and the distribution of the protein calbindin, since all appear to be involved in cerebellar nuclei patterning in other gnathostomes. Three regions (subventricular, medial or central, and lateral or superficial) became recognizable in the cerebellar nucleus of this shark during development. Present genoarchitectonic and neurochemical data in embryos provide insight into the origin of the cerebellar nucleus in chondrichthyans and support a tripartite mediolateral organization of the cerebellar nucleus, as previously described in adult sharks. Furthermore, the expression pattern of ScLhx5,ScLhx9, and ScTbr1 in this shark, together with that of markers of proliferation, migration, and early differentiation of neurons, is compatible with the hypothesis that, as in mammals, different subsets of cerebellar nucleus neurons are originated from progenitors of 2 different sources: the ventricular zone of the cerebellar plate and the rhombic lip. We also present suggestive evidence that Lhx9 expression is involved in cerebellar nuclei patterning early on in gnathostome evolution, rather than representing an evolutionary innovation of the dentate nucleus in mammals, as previously hypothesized.
Interdisciplinary Research Agenda on Privacy 2.0

Online social networks (OSNs) brought the voluntary disclosure of personal information to the mainstream, rendering the potential intrusion of privacy a critical and acute concern. The main objective of this roundtable is to address the need for a paradigm shift in understanding and addressing users’ privacy risks in the Web 2.0 environment with a focus on OSNs. The discussion themes are to: (1) deepen the theoretical understanding of privacy in the context of OSNs, (2) identify privacy intervention strategies for users to prevent privacy threats, and (3) promote privacy awareness.
Report on the National Eye Institute’s Audacious Goals Initiative: Creating a Cellular Environment for Neuroregeneration

Abstract The cellular environment of the CNS is non-permissive for growth and regeneration. In the retina, transplantation of stem cells has been limited by inefficient survival and integration into existing circuits. In November 2016, as part of the National Eye Institute’s Audacious Goals Initiative (AGI), a diverse collection of investigators gathered for a workshop devoted to articulating the gaps in knowledge, barriers to progress, and ideas for new approaches to understanding cellular environments within the retina and how these environments may be manipulated. In doing so, the group identified the areas of (1) retinal and optic nerve glia, (2) microglia and inflammation, and the (3) extracellular matrix (ECM) and retinal vasculature as key to advancing our understanding and manipulation of the retinal microenvironments. We summarize here the findings of the workshop for the broader scientific community.
SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages

This publication has emanated from research funded in part from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 645425 SSIX and Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289. We would like in particular to thank Alexandros Poulis and Juha Vilhunen from the Global Services for Machine Intelligence Group, Lionbridge Finland 6 ensuring the production word of high quality translations for our similarity datasets.