Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership Productivity Model – Evaluation of Operationalisation

Results: Apart from very few limitations objectivity is good. Reliability for the entire LPS is excellent; the reliability coefficients for each dimension are good. Criterion validity is confirmed, construct validity cannot be confirmed by Pearson’s correlation coefficients, but partly by factor analysis. Summing up the LPS is an objective, completely reliable and partially valid instrument.
Multi-Resolution Video Services over Passive Optical Networks

Since the development of optical fiber, fiber-optic telecommunications, the personal computer (PC) and the internet, our lives have been dominated by bandwidth consumption. Although many of us do not realize it, daily activities that are now considered trivial consume a significant amount of bandwidth. PONs solutions must support data, voice and video delivery. The most demanding of these applications is the use of video especially high-definition television (HDTV) followed by standard-definition television (SDTV). In this paper, we present an efficient approach to support multi-resolution streams over Passive Optical Networks (PONs). This paper will assess the key considerations in selecting among alternatives PONs frameworks in order to efficient support multi-resolution multimedia streaming services.
The Design of a Phase Gain Damping (PGD) Controller for Feedback Control Systems

The proportional plus integral plus derivative (PID) controller has been the mainstay of feedback control for decades even though there are slew of other controllers in the books. Simplicity, ease of use, and adequate performance are the lure of the PID. A major drawback of the PID is reliance on trial and error graphical tuning method such as the Ziegler-Nichols, Cohen-Coon, and Fertik. This article introduces the phase, gain, and damping (PGD) controller. By solving a system of nonlinear algebraic equations the designer obtains transfer functions with desired gain, damping, and phase at the closed loop bandwidth of the feedback system. This article also proposes a new method of tuning the PID controller parameters based on the PGD controller coefficients. This approach of using the PGD to tune the PID eliminates the need for cumbersome graphical tuning.
Mobility and Geosocial networks

The Social Web is changing the way people create and use information. Every day millions of pieces of information are shared through the medium of several on-line social networks and moreover on-line services with a social layer such as Facebook, Google+, Twitter, Foursquare, and so on. People have discovered a new way to exploit their sociality: from work to entertainment, from new participatory journalism to religion, from global to local government, from disaster management to market advertisement, from personal status update to milestone family events, the trend is to be social. Information or content are shared by users through the web by posting images or videos, blogging or micro-blogging, surveying and updating geographic information, or playing geographicbased games. Considering the increase in mobile Internet access through smartphones and the number of available (geo)social media platforms, we can expect the amount of information to continuously grow in the near future. To understand the potential of this change it is worth noticing the amount of “geosocial information” produced during recent years to be a daily occurrence. The following are just few examples. In August 2006, Flickr introduced the geo-tagging feature; by 2007, more than 20 million geo-tagged photos were uploaded to Flickr. In August 2011, Flickr announced its 6 billionth photo, with an increasing 20% year-onyear, over the last 5 yearsa. Similarly, Twitter was born in 2006. The most impressive performance indicator is the increasing rate of messages. In 2010, the average number of Tweets sent per day was 50 millionb while
PRELIMINARY SCREENING OF TELEGRAPH (CODARIOCALYX MOTORIUS) PLANT EXTRACT FOR SKIN WHITENING PROPERTY AND CYTOTOXICITY ACTIVITY

A perfect skin can be remained as a dream if it does not maintain properly, therefore most of the young women are tempting to skin whitening products that can be composed of harmful chemicals that cause dullness, uneven skin tone or acne breakout instead of making skin healthy and blooming. Natural products are safe for consumption and will work on skin naturally and effectively by balancing skin tone and eliminating harmful effects. This study was carried out to determine skin whitening property and cytotoxicity activity of Codariocalyx motorius. C. motorius is commonly known as “Pranajeewa” in Sinhala or “Telegraph Plant”. It is widely consumed as an antidote, cardiac-tonic and for wound healing. The antityrosinase activity and cytotoxicity activity of the methanolic extract of leaves of Telegraph plant have been studied on in-vitro models. The antityrosinase activity was evaluated based on inhibition of mushroom tyrosinase and cytotoxicity activity was evaluated based on brine shrimp lethality bioassay. The IC50 value of antityrosinase activity for methanolic extract of leaves of Telegraph plant was 282.2907299 ±4.521 μg/ml and SASAKI Whitening Body Skin Serum as positive control was 478.800757±3.1567 μg/ml. Value of inhibition of tyrosinase was significantly higher than to positive control. The IC50 value of cytotoxicity activity for methanolic extract of leaves of Telegraph plant was 1516.0538± 2. 407μg/ml. This analysis was revealed IC50 value of methanolic extract is nontoxic toxic to brine shrimps. Therefore, it can be concluded that Codariocalyx motorius leaves possess highly active antityrosinase substances which can be consumed for remedy of healthy and brighten skin.
Identification of novel antagonists for DNA processing chain A of H. influenzae

Haemophilusinfluenzae is a Gram-negative, coccobacillary, anaerobic bacterium found in upper respiratory tract of human, which majorly causes bacteremia, epiglottitis, pneumonia and acute bacterial meningitis. Moreover H. influenza show multi drug resistance to several antibiotics such as penicillin, rifampicin, chloramphenicol, erythromycin, azithromycin and polymyxin with adverse effects like allergy, dizziness and fever. Therefore, multiple drug resistance nature of H. influenza anticipates the requirement to discover novel antagonists for the treatment of infections mediated by H. influenzae. Three enzymes from sRNA candidates of 5 H. influenzae genomes were predicted using sRNA Predict. Among the 3 enzymes, DNA processing chain A (DprA) of H. influenzaeplays a crucial role in bacterial transformation mechanism and found to be non-homologous to Homo sapiens. Thus, DprA has been targeted for the development of drugs for pneumonia treatment in the present study. Tertiary structure of DprA was modeled using 3UQZ as a template structure with Modeler 9v.15 and validated using PROCHECK, ProSA and ProQ to define the stereo-chemical quality and overall quality of a protein model respectively. RecA binding site residues were defined using Site map and 10x10x10 Å grid was generated around the defined RecA binding sites. The existing seven inhibitors of DprA were subjected to analog search against in-house library containing more than one million compounds using PHASE v.3. 8 module. Rigid receptor docking was performed to the obtained 4000 inhibitor analogs towards DprA with Glide v.6. 3 in Maestro v.9. 6. Virtual screening workflow of rigid receptor docking in Glide v.6. 3 with high throughput virtual screening (HTVS) and standard precision (SP) followed by extra precision (XP) docking resulted 38 leads. Comparing the resulted 38 leads to the existing inhibitors resulted three best leads. Lead1 showed docking score of XP Gscore -7.36kcal/mol shows better binding affinity towards DprA. Thus, the proposed three leads in the present study were enough to block the activity of DprA and in turn decrease bacterial transformation and stop the endurance of the bacterial growth of H. influenzae.
External Technology Acquisition and External Technology Exploitation: The Difference of Open Innovation Effects

To sustain in today’s ever-changing and competitive landscape, firms must work within and outside of their organizations’ boundaries. Open innovation (OI) strategies such as external technology acquisition (ETA), and external technology exploitation (ETE), can effectively improve the innovation performance of the organizations. Technologies like social media can help organizations to scout for appropriate technology, and source for ideas and knowledge from external sources to support their innovations. Moreover, digitalization can hasten business operations and enhance the innovation process of the firm. Focusing on open innovation (OI), this study takes an integrated approach towards investigating the impact of OI strategies, technology scouting through social media, and digitalization vision on innovation and firm performance. Data were drawn from 153 organizations in Malaysia, and the partial least squares (PLS) method was used to analyze data. The findings revealed that ETE, technology scouting through social media, and digitalization vision have a significant relationship with innovation performance. This, in turn, shows a positive relationship with firm performance. However, ETA does not have a significant relationship with innovation performance in the Malaysia context. This study extends the current literature on OI through the use of specific technology variables, such as technology scouting through social media and digitalization vision to support organizations’ innovation.
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers

We present a novel network pruning algorithm called Dynamic Sparse Training that can jointly ﬁnd the optimal network parameters and sparse network structure in a uniﬁed optimization process with trainable pruning thresholds. These thresholds can have ﬁne-grained layer-wise adjustments dynamically via backpropagation. We demonstrate that our dynamic sparse training algorithm can easily train very sparse neural network models with little performance loss using the same training epochs as dense models. Dynamic Sparse Training achieves prior art performance compared with other sparse training algorithms on various network architectures. Additionally, we have several surprising observations that provide strong evidence to the effectiveness and efﬁciency of our algorithm. These observations reveal the underlying problems of traditional three-stage pruning algorithms and present the potential guidance provided by our algorithm to the design of more compact network architectures.
Local Organizers Foreword

This paper describes a new visualization technique for event related functional magnetic resonance imaging (ERfMRI). ERfMRI is a class of functional brain analysis. Although ERfMRI is very powerful in modelling experiments to map brain functions it suffers from one deficiency, the difficulty to extract and analyse all information the exam provides. In this paper we outline this visualization technique, show some results and discuss how this visualization technique can be improved both for research and clinical applications.
Identification and structural determination of the capsular polysaccharides from two Acinetobacter baumannii clinical isolates

The structures of the capsular polysaccharides (CPSs) of the two clinical isolates Acinetobacter baumannii SMAL and MG1 were elucidated. Hot phenol/water extractions of the dry biomasses, followed by enzymatic digestions and repeated ultracentrifugations led to the isolation of polysaccharides which were negative in Western blot analysis utilizing an anti-lipid A antibody, thus proving that they were not the LPS O-antigens but CPSs. Their structures were established on the basis of NMR spectroscopy and GC-MS analyses. The A. baumannii MG1 CPS consisted of a linear aminopolysaccharide with acyl substitution heterogeneity at the N-4 amino group of QuipN4N: 4)--D-GlcpNAc-(14)--L-GalpNAcA-(13)--D-QuipNAc4NR-(1 R= 3-hydroxybutyrryl or acetyl
Promotion in the Marketing Mix: What Works, Where and Why

Studies have used a variety of criteria to evaluate the benefits from promotion and, relatedly, to prescribe optimal advertising strategy. Gross benefit measures, that do not account for the costs of the commodity, are clearly inappropriate. Allowing for international or interregional trade, or multiple outlets for a commodity (e.g., fresh and Processing) may mean that net benefits are small or zero. Some questions require Measures that account for other costs and benefits (such as consumer benefits and effects on taxpayers through commodity programs). This paper explores the effects of horizontally disaggregating commodity markets (into domestic and foreign and fresh and Processing), and allowing for market distortions from commodity programs, on producer incentives and on measures of the private and social payoff to advertising financed by a Per unit tax or check-off.
Language And Attitude: A Review And Reflection On Tourism And Hospitality In NTT Province, Indonesia

This qualitative study basically aims to produce a review or assessment and reflection on language (i.e. English) ability and attitudes shown by local communities in 10 tourist spots in NTT Province. The data has been collected by using both direct observations and interviews. The results show that most of local people aren’t really aware of the importance of having positive attitudes towards visitors/tourists. They also have constraints in communicating with the visitors/tourists because they can’t speak English well. There have also been other problems listed down in this article as the findings of this study. All these problems can cause discomfort for travelers who come to visit. These language and attitude aspects are still considered as small problems but they have a major impact on the development of tourism in NTT.
Experimental Study on Manual Operation Method of a Flexible Space Robotic Arm

Space robotic arm, such as robotic manipulator systems on International Space Station (ISS), are usually operated manually by astronauts and ground operators. Such manipulator systems are subject to vibrations due to its flexibility, which cause degradation of the operation accuracy. We use Input Shaping method in order to suppress the vibration. However, when a posture of the arm changes dynamically, we need to improve the scheme of vibration suppression control. We propose the practical manual operation method without additional sensors and actuators. In proposed method, sensing the vibration during robotic arm operation, the parameters for vibration suppression are updated as required. Though a strain gauge is used for sensing the vibration, only actuator's current of each joint is practicable. In this paper, we conduct manual operation experiment, and examine the validity of the proposed manipulation method considering vibration suppression.
Repairing Outlier Behavior in Event Logs using Contextual Behavior

It is common in practice, e. g. , due to logging errors in information systems or the presence of exeptional process behavior, to have outlier behavior in real event data. Such behavior often leads to incomprehensible, complex, and inaccurate analysis results and makes correct and/or important behavior undetectable. In this paper, we propose a novel data preprocessing method, that detects and subsequently repairs outlier behavior in event data. We propose a probabilistic method that detects outlier behavior based on the occurrence probability of a sequence of activities among its surronding contextual behavior. We replace the outlier behavior with more probable behavior among that behavioral context. Our approach allows to remove outlier behavior, which enables us to obtain a more global view of the process. The proposed method has been implemented in both the promand the rapidprom frameworks. Using these implementations, we conducted several experiments that show that most types of outlier behavior in event data are detectable and repairable via the proposed method. The evaluation clearly demonstrates that we are able to improve process discovery results by repairing event logs upfront. Results show that using the proposed method we obtain more understandable process models with higher accuracy.
Local Wisdom and Sumatran Tiger in Leuser-Ulu Masen Landscape: A Study in Mane Sub-district of Aceh Province

Leuser Ulu-Masen landscape is considered to be a very important habitat for Sumatran Tiger. Mane Sub-district in Aceh Province, part of Leuser-Ulu Masen landscape, is identified as an area that has strong local wisdom characteristics in forest management. The objectives of this research were to analyze the perception of local community to the existence of tiger, analyze local wisdom arising from the presence of tigers, analyze mitigation of local community to human-tiger conflict in our study area. Hunting of all wildlife in this forest area is strictly prohibited. We realized role of customary law which prohibits wildlife hunting activities will have a good impact on the conservation of Sumatran tigers. We strongly recommend this model of natural resource management in our research location (based on good local wisdom) be implemented in other areas, especially in areas that have high human-tiger intensity and high density of tiger in human-dominated area.
THE THREE ORIGNAL PAPERS ARE: I. The quality of life after thyroidectomy in patients with non-toxic nodular Goiter. A prospective cohort study

INTRODUCTION HISTORY OF THYROIDECTOMY The word goiter is derived from the Latin word “gutter” meaning throat or neck. Goiter is defined as an enlargement of the thyroid gland in the absence of autoimmune thyroid disease, inflammation, or malignancy [1]. Until the mid-nineteenth century seaweed was, because of its high iodine content, among the only feasible treatments for patients with goiter. Thyroid surgery was not possible due to the inadequate technical development of surgery [2, 3]. Early attempts at performing surgery were horrifying and associated with very high mortality from bleeding and postoperative sepsis [3]. However, with the development of ether anesthesia (1846), antiseptics (1867), and artery forceps (1877), unhurried and safer dissections were now possible. Surgery for patients with large suffocating goiters was thereafter a risky, but achievable procedure [3, 4]. Theodor Billroth in Vienna (1877) published his leading work showing an unprecedented mortality rate of 8% after thyroidectomy by the use of antiseptic techniques [2]. His achievements were further advanced by his mentee Theodor Kocher in Bern who would later receive the Nobel prize for his pioneering work in understanding thyroid disease (1909) [2, 4, 5]. The hallmarks of Kocher’s surgical technique were antiseptics, arterial ligation, and precise intracapsular thyroid dissection, which eventually reduced the mortality rate to below 1% [2, 4, 5]. Nonetheless, with the introduction of safer surgery, recognition of surgical complications (recurrent laryngeal nerve (RLN) paralyses, thyroid storm, myxedema, and hypocalcemia/tetany) began to occur. Subsequent surgical achievements included the introduction of subtotal thyroidectomy by Thomas Dunhill (1920) which saved the lives of many young patient with severe hyperthyroidism [4]. However, the pioneering work of these early surgeons was not well known across continental Europe, throughout the British Empire, or in the United States. In these territories, thyroid surgery was a dubious endeavor associated with high risks of mortality. Eventually, William Halsted of Baltimore (today John Hopkins hospital), George Crile from Cleveland (today Cleveland clinic), and Charles Mayo from Rochester (today Mayo Clinic) introduced the European advances to the United States and achieved a recorded RLN palsy rate of 0.3% and introduced parathyroid auto-transplantations [2, 4]. Alongside these surgical achievements, other medical specialties also progressed and introduced: commercially available thyroxine (1917), iodine prophylaxis (1920s), fine needle aspirations (1948), safe positive pressure ventilation (1965), better antithyroid drugs (1965), and B-mode ultrasound (US) (1970s). All this contributed to the pronounced progress, which has made most thyroid diseases manageable in the present era [4].
EFFECT OF HIGH-SPEED RAIL DEVELOPMENT ON THE PROGRESS OF REGIONAL ECONOMY

Considering system efficiency and spatial interdependence, this study proposes an analysisapproach to study the effect of High-Speed Rail (HSR) development on regional economy, by utilizingthe development cases of the Japanese Shinkansen. The stochastic frontier analysis and spatial autoregressivestudy are applied in this research. It is confirmed that the proposed approach can makerationally accurate explorations of HSR development’s impact on regional economy. It is found thatHSR development will improve the economy of each city along HSR line, and the more the city’stravel impedance to the nearest HSR station decreases, the more its economic progress is distinct.However, the proportions of the contributions to regional economy from the cities originally near toHSR stations decrease in comparison to the increase of the contribution shares of the cities which HSRlines newly extend to.
Amachine learning approach to support deep brain stimulation programming Un acercamiento basado en aprendizaje de máquina para apoyar la programación de la estimulación cerebral profunda

Viviana Gómez-Orozco1*, Iván de la Pava1, Andrés Álvarez-Meza2, Mauricio A. Álvarez3, Álvaro Orozco-Gutiérrez1 1Grupo de Investigación Automática, Facultad de Ingeniería, Universidad Tecnológica de Pereira. Carrera 27 # 10-02. C. P.660003. Barrio Álamos, Pereira, Risaralda Colombia. 2Grupo de Procesamiento y Reconocimiento de Señales, Universidad Nacional de Colombia. Carrera 27 # 64-60 Sede Manizales. C. P. 170004. Manizales, Caldas Colombia. 3Department of Computer Science, University of Sheffield. Western Bank Sheffield S10 2TN UK. C. P. S10 2TN UK. Sheffield, United Kingdom.
PAPER FOR THE SEVENTH UNITED NATIONS REGIONAL CARTOGRAPHIC CONFERENCE FOR THE AMERICAS (UNRCCA) On Spatial Data and Development: Building a Sustainable Infrastructure

The paper presents a global model for understanding Land Administration Systems in support of sustainable development. The evolution of these systems is described as a respond to the dynamic relation between humankind and land. The Nordic evolution is described with a focus to understand that any land administration system is embedded in the cultural and judicial setting of the individual country/jurisdiction. The issue of Spatial Information Infrastructures is recognised as an increasingly important component for achieving sustainable development in developed as well as developing countries. The paper discusses the conceptual, political and economic mechanisms, and examples are given with regard to the Danish conceptual approach in this area. Finally, the paper deals with the issue of decentralisation and the impact of central vs local government in land management in support of sustainable development. It is argued that competencies should rest with the lowest possible level of jurisdiction so as to combine responsibility for decision-making with accountability for financial and environmental consequences.