Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership Style in the Global Economy: A Focus on Cross-Cultural and Transformational Leadership

Leadership styles are important in determining performance, competitive advantage, sustainability, innovative culture, and profitability of business organizations. Extant literature is inundated with various leadership styles. Many businesses fail due to incompetent leadership and failure to apply the right type of leadership style, given the nature of business and employees. Against the backdrop of leadership failures, organizational and societal problems of lack of sustainable production, low income, poverty, and environmental pollution persist. In a constantly shrinking business world of multiculturalism termed globalization, there is the need to focus more on cross-cultural leadership which many leaders lack. It is also important that the virtues of transformational leadership be upheld in an era of higher education and improved skills. In this article the authors combine transformational leadership and cross-cultural leadership styles to Journal of Marketing and Management, 9 (2), 37-52, November 2018 38 generate a new and more effective framework of organizational leadership. There is evidence based on scholarly research that a cross-cultural transformational leadership would be more effective in the 21 century consistent with improved skills and effective information sharing. The future of leadership and organizational structure belongs to cross-cultural transformational leadership.
CaMKII Negatively Regulates Calcineurin–NFAT Signaling in Cardiac Myocytes

Rationale: Pathological cardiac myocyte hypertrophy is thought to be induced by the persistent increases in intracellular Ca2+ needed to maintain cardiac function when systolic wall stress is increased. Hypertrophic Ca2+ binds to calmodulin (CaM) and activates the phosphatase calcineurin (Cn) and CaM kinase (CaMK)II. Cn dephosphorylates cytoplasmic NFAT (nuclear factor of activated T cells), inducing its translocation to the nucleus where it activates antiapoptotic and hypertrophic target genes. Cytoplasmic CaMKII regulates Ca2+ handling proteins but whether or not it is directly involved in hypertrophic and survival signaling is not known. Objective: This study explored the hypothesis that cytoplasmic CaMKII reduces NFAT nuclear translocation by inhibiting the phosphatase activity of Cn. Methods and Results: Green fluorescent protein–tagged NFATc3 was used to determine the cellular location of NFAT in cultured neonatal rat ventricular myocytes (NRVMs) and adult feline ventricular myocytes. Constitutively active (CaMKII-CA) or dominant negative (CaMKII-DN) mutants of cytoplasmic targeted CaMKII&dgr;c were used to activate and inhibit cytoplasmic CaMKII activity. In NRVM CaMKII-DN (48.5±3%, P<0.01 versus control) increased, whereas CaMKII-CA decreased (5.9±1%, P<0.01 versus control) NFAT nuclear translocation (Control: 12.3±1%). Cn inhibitors were used to show that these effects were caused by modulation of Cn activity. Increasing Ca2+ increased Cn-dependent NFAT translocation (to 71.7±7%, P<0.01) and CaMKII-CA reduced this effect (to 17.6±4%). CaMKII-CA increased TUNEL and caspase-3 activity (P<0.05). CaMKII directly phosphorylated Cn at Ser197 in CaMKII-CA infected NRVMs and in hypertrophied feline hearts. Conclusion: These data show that activation of cytoplasmic CaMKII inhibits NFAT nuclear translocation by phosphorylation and subsequent inhibition of Cn.
Participation of SCM Strategy in the definition of Business Strategy and its further conditions for operationalization. The status of SCM in LATAM

Supply Chain Management (SCM) is a discipline of management that can be seen in different ways. However, only a strategic approach of SCM derived into subsequent tactical decisions and an operational implementation will provide the benefit that promises. SCM decisions must be considered at the strategic level; this is because the decisions in SCM contain several edges that necessarily involve the coordination of multiple areas of the company and therefore their guidelines must be defined to the highest managerial level. In this thesis is emphasize the strategic nature of SCM and the importance of being considered this way. Most research on SCM focuses on the relationship among organizations within the supply chain; but scarce literature exists that addresses the issue of internal conditions that allow proper management of the supply chain out of the borders of the organization. The purpose of this paper is to explore how SCM strategy is taken into account when the organization delineates the business strategy and how those conditions have to be met internally within the organization to be successfully implemented at the tactical and operational levels. This research is centered in Latin America where SCM’s development from the strategic point of view is scarce, more than this, SCM’s development in this region is wrongly oriented. While not considering at the strategic level, any effort organizations want to make in the area of SCM will hardly get satisfactory results in the medium and long term. In order to get this, a set of constructs was explored, proposed and defined as critical, to be considered as the first steps for a successful implementation of a SCM strategy. As it will be developed through this work, seven constructs were conisdered: Degree of participation of SCM strategy in the business strategy; Parameters to guide segmentation of providers and customers; Culture of the organization; Distribution of benefits along the chain’s criteria; Internal alignment of all the firm’s areas that participate in the SCM strategy; Coherence between strategic SCM'S alignement and Incentive program for managers; SCM manager’s role and profile Through two qualitative field studies (a Delphi panel of experts, the first and a case study the second) conducted in Latin America, the aim was to demonstrate the status of SCM in the region and how, through a correct application of the constructs, the organizations can raise their SCM strategy and from there achieve a correct operationalization.
Improving the Effectiveness of Laying Hens for Use in Value-Added Egg Production.

A series of experiments were conducted to explore factors affecting transfer of value-added ingredients from the diet to table eggs, with the goal of contributing to improvements in the enrichment process. Flaxseed-based ω-3 PUFA enrichment did not reduce lutein enrichment. The combine enrichment of lutein and ω-3 PUFA had decresed lipid oxidation potential. Also, when fed a ω-3 PUFA diet, birds scored as energetic Efficient had longer and wider villi, resulting in greater absorptive surface area/villi than Non-efficient hens. However, histomorphological differences did not affect transfer of ω-3 PUFA from diet to egg. Finally, birds fed graded levels of ω-3 PUFA to characterize change in lipid profile of egg and blood plasma in time reached a plateau in total ω-3 PUFA/egg in 5.9 to 6.6d, with High birds reaching the target of 300 mg/egg in 5d. Egg enrichment can be modulated by changes to the hen diet.
Learning Word Embeddings from Tagging Data: A methodological comparison

The semantics hidden in natural language are an essential building block for a common language understanding needed in areas like NLP or the Semantic Web. Such information is hidden for example in lightweight knowledge representations such as tagging systems and folksonomies. While extracting relatedness from tagging systems shows promising results, the extracted information is often encoded in high dimensional vector representations, which makes relatedness learning or word sense discovery computationally infeasible. In the last few years, methods producing low-dimensional vector representations, so-called word embeddings, have been shown to yield extraordinary structural and semantic features and have been used in many settings. Up to this point, there has been no in-depth exploration of the applicability of word embedding algorithms on tagging data. In this work, we explore diﬀerent embedding algorithms with regard to their applicability on tagging data and the semantic quality of the produced word embeddings. For this, we use data from three diﬀerent tagging systems and evaluate the vector representations on several human intuition datasets. To the best of our knowledge, we are the ﬁrst to generate embeddings from tagging data. Our results encourage the use of word embeddings based on tagging data, as they capture semantic relations between tags better than high-dimensional representations and make learning with tag representations feasible.
Public investment and EU funds in a small open economy integrated in the euro area

Small open economies within the European Union can be extensively influenced by the utilization of the structural and investment EU funds. Even more so if they are eligible to draw from Cohesion Fund targeted at the developed EU countries. In many of these countries, we observe an EU-funds cycle that causes spikes in total investment as the programming period draws to its end, and a decline after the new programming period begins. As the share of EU-funded public investment and the public investment funded from domestic sources varies highly over time, we decided to explore the differences in the transmission of these two types of public investment shocks into the real economy. We use a version of EAGLE model calibrated for Slovak economy integrated in the euro area and extended with EU funds mechanisms. We find that if the part of the total investment that is funded from domestic sources comes from an increase in taxes, the EU-funded investment delivers larger improvement in real GDP. The difference is especially striking for investment funded by an increase of social security contributions paid by firms. Debt-financed public investment delivers virtually the same results irrespective of whether it is funded from the EU funds or not.
Orientation selectivity in rat primary visual cortex emerges earlier with low‐contrast and high‐luminance stimuli

In natural vision, rapid and sustained variations in luminance and contrast change the reliability of information available about a visual scene, and markedly affect both neuronal and behavioural responses. The hallmark property of neurons in primary visual cortex (V1), orientation selectivity, is unaffected by changes in stimulus contrast, but it remains unclear how sustained differences in mean luminance and contrast affect the time‐course of orientation selectivity, and the amount of information that neurons carry about orientation. We used reverse correlation with characterize the temporal dynamics of orientation selectivity in rat V1 neurons under four luminance‐contrast conditions. We show that orientation selectivity and mutual information between neuronal responses and stimulus orientation are invariant to contrast or mean luminance. Critically, the time‐course of the emergence of orientation selectivity was affected by both factors; response latencies were longer for low‐ than high‐luminance gratings, and surprisingly, response latencies were also longer for high‐ than low‐contrast gratings. Modelling suggests that luminance‐modulated changes in feedforward gain, in combination with hyperpolarization caused by high contrasts can account for our physiological data. The hyperpolarization at high contrasts may increase signal‐to‐noise ratios, whereas a more depolarized membrane may lead to greater sensitivity to weak stimuli.
Bone Forming Potential of An-Organic Bovine Bone Graft: A Cone Beam CT study.

PURPOSE An-organic bovine bone graft is a xenograft with the potential of bone formation. The aim of this study was to evaluate the bone density using cone beam computed tomography scans around functional endosseous implant in the region of both augmented maxillary sinus with the an-organic bovine bone graft and the alveolar bone over which the graft was placed to provide space for the implants. MATERIALS AND METHODS Sterile freeze dried bovine bone graft produced by National Tissue Bank, University Sains, Malaysia was used for stage-1 implant placement with maxillary sinus augmentation in a total of 19 subjects with 19 implants. The age of all subjects ranged between 40-60 years with a mean age 51±4.70. All subjects underwent a follow up CT scan using PlanmecaPromax 3D(®) Cone beam computed tomography scanner at the Radiology department, Hospital University Sains, Malaysia. The collected data was then analysed to evaluate bone density in Hounsfield Units using PlanmecaRomexis" Imaging Software 2.2(®) which is specialized accompanying software of the cone beam computed tomography machine. RESULTS There was bone formation seen at the site of the augmented sinus. A significant increase (p<0.005) in bone density was reported at the augmented site compared to the bone density of the existing alveolar bone. CONCLUSION An-organic bovine bone graft is an osteoconductive material that can be used for the purpose of maxillary sinus augmentation.
Candidature for and delivery of audiological services: special needs of older people

*Universitals-HNO-Klini k der Justus Liebig Universitlt. Giessen, Germany, 'University of Toronto, Mississauga: Ontario. Canada, ZMRC institute of Hearing Research, Glasgow, CK. *Welsh Hearing Institute, University Hospital of Wales. Cardill; U K . IIDepartnient of Audiology, University Hospital. Linkopitig. Sweden. Department of C:ommunication Sciences & Disorders, University of South Florida, and Audiology 8~ Speech-language Pathology Service. VAMC-Say Pines. Florida, USA, **MRC: Institute of Hearing Research, Cniversity Park. Nottinghnm, UK, "School of Audiology, University of Melbourne+ Melbourne. Victoria, Australia, -Communication Disiibility in Ageing Rcscarch Unit. Department of Speech Pathology and Audiology. The IJnivcrsity of Queensland. Q ueenslantl . Ausl ra iia, SDeparlnient of Communicative Disorders, I! niversity of Florida. Gainesville. Florida. USA, IIhstitution of Clinical Neur~~sciences/Scction f Technical and Clinical Audiology. Karoliiiska Institute, Dcpartinenl or Audiology. Karolinska Hospital, S1ockholm, 'WJniversity of Cologne, ENT Hospital, Cologne. Germany LL Candidature for and delivery of audiological services: special needs of older people
Scalable Support of Interdomain Routes in a Single AS

The Internet has grown extremely fast in the last two decades. The number of routes to be supported by the routers has become very large. Moreover, the number of messages exchanged to distribute the routes has increased even faster. To keep up with the increase, network operators regularly have to perform costly upgrades of the routers. It is unclear whether advances in hardware will be able to keep up with the increasing routing load. More importantly, the large number of routes and iBGP messages negatively impacts iBGP convergence time leading to long connectivity losses. In this paper, we propose a scalable way to support the Internet routes in a Service Provider network. We make use of distributed servers that select routes on behalf of the routers. Then, routes are stored in a Distributed Hash Table (DHT). We adapted the concept of DHT for that purpose. Each router maintains its share of Internet routes in addition to a cache of routes currently in use to forward the Internet traffic. We call our proposal SpliTable. We show that our proposal is more scalable in the number of routes supported in each router than current iBGP route distribution solutions. Moreover, the number of control messages exchanged with our proposal is bounded contrary to current sparse iBGP route distribution solutions which may never converge.
Dyadic Interactions within Professional Memberships

Membership relationship is one area of relationship marketing in service sector, which is increasingly gaining attention in view of the growing popularity of individuals acquiring and maintaining memberships in associations. However, research in membership relationship is modest, particularly for professional associations (PAs). The propose of this study is to investigate how dyadic interactions (communication and member networks) impact members’ commitment to PAs, and how this process in turn leads to behavioral outcomes of members (retention, advocacy, and knowledge acquisition). Data were collected through an online survey questionnaire. Participants were recruited from three Australian health care PAs, resulting in 158 usable surveys. Partial Least Square technique was employed to test the structural model and hypotheses. Results indicate that communication and strength of members’ internal networks are positively related to members’ commitment to PAs. Commitment, in turn, leads to member retention, advocacy for the PA, and member knowledge acquisition. The results suggest that the most valuable members are those being able to open communication and develop strong internal networks as they will benefit from their memberships while simultaneously promote the PA.
Dairy consumption and overweight and obesity: a systematic review of prospective cohort studies

A comprehensive literature search was undertaken to examine the relationship between dairy consumption and overweight/obesity in prospective cohort studies. A literature search from 1980 through to April 2010 was conducted. Nineteen cohort studies met all the inclusion criteria and were included in the systematic review. Of the 19 cohort studies, 10 were among children and adolescents (aged 2 to 14 years, n = 53 to 12 829, follow‐up 8 months to 10 years) and nine among adults (aged 18 to 75 years, n = 248 to 42 696, follow‐up 2 years to 12 years). A range of dairy food exposure measures were used. Eight studies (three out of 10 studies involving children and five out of nine studies involving adults) showed a protective association against increasing weight gain (measured in various ways); one reported a significant protective association only among men who were initially overweight; seven reported no effect; one reported an increased risk (among children), and two reported both a decreased and increased risk, depending on the dairy food type. The evidence from prospective cohort studies for a protective effect of dairy consumption on risk of overweight and obesity is suggestive but not consistent, making firm conclusions difficult.
Branched-chain amino acid-free parenteral nutrition in the treatment of acute metabolic decompensation in patients with maple syrup urine disease.

MAPLE syrup urine disease is a rare inborn error of branched-chain amino acid and branched-chain keto acid metabolism due to decreased branched-chain α-keto acid dehydrogenase-complex activity.1 The branched-chain keto acids, which are the substrates in this irreversible enzyme reaction, are derived from transamination of the branched-chain amino acids leucine, isoleucine, and valine. Consumption of branched-chain amino acids in the form of dietary protein in excess of an age-dependent daily requirement for protein synthesis results in the accumulation of branched-chain amino acids and branched-chain keto acids in the tissues and body fluids of patients in whom there is little or no .
Modified I - Q Demodulator for m-sequence UWB sensor system based on LTCC

The paper shows how can be properties of I - Q (In-phase Quadrature) demodulator improved by microstrip BP (Band-Pass) and LP (Low-Pass) filters. The goal of this article is to introduce a design of multilayer structure which includes all parts of I - Q demodulator based on LTCC (Low Temperature Co-fired Ceramic) substrate Green Tape 951PX. The presented method shows advantages of this unconventional “LTCC” approach for the construction of multilayer I - Q demodulator with embedded microstrip filters. The article also show the impact of interlayer vias on microstrip LP filters' performances up to 13.5 GHz. The paper assess the suitability of two conducting pastes (DuPont 6414 and DuPont TC701) used for via fill on microstrip LP filters performances.
Diabetes and acute coronary syndromes — a cardiologist's view

101 Patients with diabetes mellitus exhibit an increased propensity to develop coronary artery disease, with its sequelae acute myocardial infarction and unstable angina. Given that the prevalence of diabetes is estimated to double over the next 20 years, the incidence of acute coronary syndromes in this high-risk population can be expected to increase dramatically. Moreover, once diabetic patients experience an acute coronary syndrome, they have a worse prognosis than non-diabetic patients. This is on the one hand due to a typically very diffuse and extensive pattern of arteriosclerosis in diabetic subjects and on the other hand to the clustering of cardiovascular risk factors associated with diabetes and insulin resistance. Among them, hypertension, dyslipidaemia, endothelial dysfunction, obesity and a pro-thrombotic and pro-inflammatory state contribute in particular to the increased risk and worse prognosis of these patients. Various studies have shown that evidence-based therapeutic options are applied less frequently in patients with diabetes, clearly contributing to their increased mortality. However, several studies, including reports from the Schwabing City Hospital acute myocardial infarction (AMI) registry, have demonstrated that the prognosis of diabetic patients with acute coronary syndromes (ACS) can be improved enormously if they are treated appropriately.
feasibility of effective evasion attacks by describing various evasion approaches , chief among them

Learning-based systems have been shown to be vulnerable to evasion through adversarial data manipulation. These attacks have been studied under assumptions that the adversary has certain knowledge of either the target model internals, its training dataset or at least classification scores it assigns to input samples. In this paper, we investigate a much more constrained and realistic attack scenario wherein the target classifier is minimally exposed to the adversary, revealing only its final classification decision (e.g., reject or accept an input sample). Moreover, the adversary can only manipulate malicious samples using a blackbox morpher. That is, the adversary has to evade the targeted classifier by morphing malicious samples “in the dark”. We present a scoring mechanism that can assign a real-value score which reflects evasion progress to each sample based on the limited information available. Leveraging on such scoring mechanism, we propose an evasion method – EvadeHC– and evaluate it against two PDF malware detectors, namely PDFrate and Hidost. The experimental evaluation demonstrates that the proposed evasion attacks are effective, attaining 100% evasion rate on the evaluation dataset. Interestingly, EvadeHC outperforms the known classifier evasion techniques that operate based on classification scores output by the classifiers. Although our evaluations are conducted on PDF malware classifiers, the proposed approaches are domain-agnostic and are of wider application to other learning-based systems.
Image‐guided surgery in head and neck cancer: Current practice and future directions of optical imaging

A key aspect for the postoperative prognosis of patients with head and neck cancer is complete tumor resection. In current practice, the intraoperative assessment of the tumor‐free margin is dependent on visual appearance and palpation of the tumor. Optical imaging has the potential of traversing the gap between radiology and surgery by providing real‐time visualization of the tumor, thereby allowing for image‐guided surgery. The use of the near‐infrared light spectrum offers 2 essential advantages: increased tissue penetration of light and an increased signal‐to‐background ratio of contrast agents.