Miracle-dz/UniFAR-FTUs huggingface dataset:
Content Marketing Today

Content Marketing has become the industry standard. It has been found to be more effective than Traditional marketing. Content Marketing shifts Marketing away from persuasive advertising and selling approaches and instead provides information which creates value for the consumer. This information may be interesting, helpful, informative, problem solving or just entertaining, but the consumer must derive some benefit from it (Chordras 2018, Metrick 2018.) Market segmentation is extremely important to Content Marketing as each piece of content must be tailored to the particular target market the business is trying to reach (Chordras 2018.) Successful Content Marketers create benefits for themselves as well in the form of increased sales, reduced costs, and more loyal consumers (Content Marketing Institute 2017, Metrick 2018). As traditional marketing decreases in effectiveness Content Marketing effectiveness is increasing (Content Marketing Institute 2016, Patel, 2016). It has progressed from being a practice used to get a competitive edge on the competition to a must use. Companies who do not use Content Marketing get left behind in the industry. This paper is designed to provide a broad overview of Content Marketing to the marketing educator. Existing textbooks have not had time to include substantial information on this fast-growing area, and most educators do not have time to fully research each new area of Marketing as it appears. A full understanding of Content Marketing can be very helpful in making sure our students graduate with knowledge of all current marketing practices.
Marching control based on the leader-followers scheme and formation graphs

This paper analyzes the case of marching control, where a leader robot follows a desired trajectory, while the whole group reaches a formation pattern established by a formation graph. To guarantee that the group preserves the desired formation and follows the marching path simultaneously, two approaches are given, based on the feedback of the velocity of the desired trajectory or the velocity of some robots. The main result establishes that for both approaches and any well-defined formation graph, there is convergence to the formation and the marching path. The analysis addresses the cases of omnidirectional robots and the extension to unicycle-type robots. The performance of the control strategies is shown some numerical simulations and real-time experiments.
Canonical Correlation Analysis and Neural Network (CCA-NN) Based Method to Detect Epileptic Seizures from EEG Signals

In this research, a novel method based on Canonical Correlation Analysis (CCA) and Artificial Neural Network (ANN) to detect epileptic seizures from EEG signals is proposed. CCA was applied on EEG signals and feature vectors corresponding to Eigen values were extracted. These Eigen values were fed as input to Artificial Neural Network (ANN)’s widely explored model Multilayer Perceptron Neural Networks (MLPNNs) for classification between occurrence of non-epileptic seizures and epileptic seizures. The extracted Eigen values using CCA proved to be a better epileptic seizures detector and provide average classification accuracy, sensitivity and specificity as 92.583%, 93.25% and 91% respectively.
Stress Fractures of the Calcaneus Diagnosed by Sonography: Report of 8 Cases

We present a retrospective review of 8 patients (6 women and 2 men, with an age range of 46–80 years; mean age, 60.2 years) in whom sonography was used to diagnose a calcaneal stress fracture. Sonography was performed because of a clinical suspicion of soft tissue injuries. Two patients were first assessed by standard radiography; for the remaining patients, sonography was the first imaging technique used. Patients were subsequently examined by magnetic resonance imaging, except for 1 patient in whom the diagnosis was made only on a clinical‐sonographic correlation. On sonography, there was thickening of the periosteum and subcutaneous edema in all patients; a calcified bone callus was evident in none of the 8 patients. Cortical irregularities were found in 6 of 8 patients. Color Doppler imaging showed local hypervascular changes of the periosteum in all patients. Sonography, together with clinical findings, can be used to diagnose a calcaneal stress fracture. We suggest that sonologists should include a calcaneal stress fracture in their differential diagnosis in cases of mechanical hind foot pain. They must also include, as a part of every sonographic examination of the ankle, an examination of the calcaneus and be aware of the sonographic appearance of stress fractures. If the diagnosis is still uncertain after the sonographic examination, magnetic resonance imaging should be prescribed.
A Novel way for Handover in Maritime WiMAX Mesh Network

Mesh WiMAX is a very good candidate for Maritime Intelligent Transport System (ITS) characterized by the long distance and multiple hops communication. In Maritime ITS, handover would be an important issue affecting the performance of the whole network. Current mobile WiMAX does not support multi-hops handover. This paper presents a novel multi-hops, soft handover solution for Mesh WiMAX network in Maritime ITS. The simulation shows that with this soft handover, network throughput has been improved significantly.
Adaptation of the Enterprises of the Real Economy Sector to Supply Chain Management and Digitalization in the Conditions of the Development of Virtual Relations

The article studies the insufficiently studied problem of adaptation of enterprises in the real sector of the economy to digitalization, in the conditions of active development of virtual relations. The author has set a goal - analyzing various aspects of this problem, to identify theoretical, practical features, the fundamental basis for the adaptation of enterprises in the real sector of the economy to digitalization and to develop a system of measures for its improvement. The aim of the research is the development and realization into practice of the basic theoretical principles and fundamental bases for the adaptation of enterprises in the real sector of the economy to supply chain strategy and digitalization, allowing them to become adaptive and more efficient. An analysis of a number of scientific primary sources devoted to the problem of adaptation allowed to the author not only to identify the essential foundations and features of the adaptation of enterprises in the real sector of the economy to digitalization, but also to establish its systemic nature of the simultaneous impact on all spheres of enterprises, their internal and external environment, which allows to develop a more balanced system of measures to improve it. The research used the methods of situational, structural and dynamic analysis, which provided an opportunity to study the adaptation of enterprises in the real sector of the economy to the conditions of supply chain strategy and digitalization, to trace its changes in time, in space and in close relationship with other phenomena. In assessing the state of adaptation of digital enterprises, a systematic approach was used. The exploration allowed to obtain scientific and practical results and conclusions, to identify the systemic nature of the impact of adaptation on all sides of the vital activity of enterprises in the real sector of the economy, on their internal and external environment of functioning, significative about the need to increase the role and responsibility of managers for the promotion of new managerial practices of adapting to digitalization and obtaining the expected results of the effectiveness of transformations. The practical significance of the researchâ€™s materials. Theoretical, practical features and the fundamentals of adaptation are used in practice, in the transition of enterprises in the real sector of the economy to digitalization. Their use contributes to the consolidation of the team into a single team, preserving the integrity of the enterprises of the real sector of the economy, increasing flexibility, sustainability, investment attractiveness, competitiveness and operating efficiency.
Matlab based platform for the evaluation of modulation techniques used in VLC

In this paper, we describe an experimental evaluation platform, which enables us to obtain the performance of baseband modulation techniques for usage in Visible Light Communication (VLC) applications. For the demonstration of the evaluation platform, we have chosen for Manchester encoding. This choice is exemplary, the described system is able to deal with a large set of analog and digital modulation techniques like Non-Return to Zero (NRZ), Return to Zero (RZ), Pulse Position Modulation (PPM), Binary Frequency Shift Keying, Dual Tone Multi-Frequency (DTMF), Phase Shift Keying (PSK), . For the Manchester encoding, it is experimentally demonstrated that the statistical distribution of the received signal after matched filter operation, is Gaussian in nature. This allows us to make an estimation of the Bit Error Rate (BER) using Q-functions for Gaussian distributions. Our results demonstrate that the estimated BER strongly depends on the sampling rate at the receiver end. The sampling rate will therefor determine whether or not the receiver can receive NonLine Of Side (NLOS) signals at normal light intensities.
Universal Signal Conditioning Technique for Fiber Bragg Grating Sensors in PLC and SCADA Applications

Optical fibre sensors, such as Fibre Bragg Gratings (FBGs), are growing in their utilisation, although very niche in their applications. To enable a more diverse range of end users, expensive application-specific optical fibre interrogation hardware needs to be made compatible with and, ideally, easily incorporated into existing instrumentation and measurement hardware. The Programmable Logic Controller (PLC) is an ideal example of hardware used for data acquisition in many industries. As such, a module that can be connected into an existing PLC slot to collect data from electrically-neutral, EMI-immune and versatile FBG sensors is of significant advantage to the growing optical fibre sensing market. In this work, we show that both digital and analogue signals can be collected from FBG sensors and integrated seamlessly into the PLC-based control system using a transmit-reflect detection system. This technique enables fibre optic sensors to be compatible with standard industrial automation controllers in a relatively low cost and plug and play manner.
Antifertility substances and their assessment in the male rodent.

The antifertility effects of simple alkane sulphonic esters have been examined in the male rat by a combination of serial mating of treated animals and histological examination of the testes. The results are compared and contrasted with those obtained with Busulphan (Myleran) dimethylmyleran and various derivatives of ethyleneimine. A spectrum of results on various stages of spermatogenesis has been obtained which is difficult to reconcile with a common mode of action due to aklylation of cellular materials. Certain simple esters produce strikingly different effects. Thus methylethanesulphonate and methylmethanesulphonate cause sterility due to interference with spermatids and spermatozoa. Isopropyl alkane sulphonates on the other hand cause sterility only after a delay of several weeks. These esters are effective by mouth and their action is cumulative. Methylmethanesulphonate and methylethanesulphonate in small daily doses produce predictable periods of sterility according to the dose rate given which are completely reversible. There is no indication of any action on libido nor evidence so far of toxic effects from these courses of treatment. With the series of compounds examined it has been possible to move the focus of drug action from spermatogonia to spermatids and spermatozoa with reduction of side effects. (AUTHORS MODIFIED)
On The contribution of using computers in the classroom in teaching/learning statistics

We must recognise a distinct difference between teaching students with computers, and teaching students about computers. Nowadays, computers are used in secondary schools for information skills courses, such as Word processing and Powerpoint presentations, which are called Information and Communication Technology (ICT). This paper addresses the first situation, the issue of using the computer in the classroom to assist the teaching/learning of the discipline of Statistics. This study aims to find out the effect of the use of the computer in the classroom, in teaching/learning the discipline of Statistics, and more than that it really wants to know if this use can reduce the effect of negative past experiences of learning Mathematics at secondary school. From the data set, based on a questionnaire which involved students from the Technical University of Lisbon, we first built a profile of the students, based on Latent Class Models; second, we concluded that the negative attitude towards the learning of Mathematics (liking or disliking Maths) at secondary school, influenced their performance in the discipline of Quantitative Methods, at secondary school, but the same did not happen with their performance in the discipline of Statistics in the first year at University (using the computer in the classroom).
Nonrhabdomyosarcoma soft tissue sarcoma (NRSTS) in pediatric and young adult patients: Results from a prospective study using limited‐margin radiotherapy

Indications for and delivery of adjuvant therapies for pediatric nonrhabdomyosarcoma soft tissue sarcoma (NRSTS) have been derived largely from adult studies; therefore, significant concern remains regarding radiation exposure to normal tissue. The authors report long‐term treatment outcomes and toxicities for pediatric and young adult patients with high‐grade NRSTS who were treated on a prospective trial using limited‐margin radiotherapy.
The Impact of Real Oil Price on Real Effective Exchange Rate: The Case of Azerbaijan

Using quarterly data from 2000-2007 and applying Error Correction Model and Johansen Co-integration Approaches I estimate the impact of real oil price on the real exchange rate of Azerbaijani manat. Estimation outputs derived from these approaches are very close to each other and indicate that real oil price has statistically significant positive impact on real exchange rate in the long-run. Besides, revealed that relative price as a proxy for productivity has also explanatory power in explaining long-run behavior of real exchange rate. Estimated Error Correction Term indicates that half-life of adjustment toward long-run equilibrium level takes 3-4 quarters. Since findings of this study occur as results of high fiscal expansion my policy suggestions mainly related to Fiscal policy implementations.
XHive: Efficient Cooperative Caching for Virtual Machines

Since a virtual machine independently uses its own caching policy, redundant disk operations exacerbate the I/O virtualization overhead when virtual machines access large amounts of data on shared storage. This paper presents XHive, an efficient cooperative caching system that is implemented at the virtualization layer, for consolidated environments. Our proposed scheme globally manages buffer caches of consolidated virtual machines in order to accommodate a shared working set in machine memory. A singlet, which is a block cached solely by a virtual machine, is preferentially given more chances to be cached in machine memory by XHive, when it is evicted by a guest operating system. For efficient use of limited memory, singlets are cached in memory that is collaboratively donated from idle memory of virtual machines. Our evaluation shows that XHive significantly reduces disk I/O operations for shared working sets, thereby achieving high read performance and scalability. Improved scalability enables a high degree of workload consolidation with respect to virtual machines that have shared working sets.
Weighted-PathSim: Similarity Measure for Plot-based Movie Recommendation

- In recent years there has been a lot interest in building effective recommender system for movies. One of the techniques of recommender system is content-based filtering, which measures similarity by looking for common features of the movie. Genre is one of the mostly used features but is too general if we would like to recommend similar movies according to the movies’ content. In this paper, we propose a framework to find similar movies based on the movie plot summary. The framework consists of three components: Phrase Mining, Topic Modeling and Similarity Search. We also introduce the concept of label weighting and propose the weighted-PathSim algorithm as the similarity measure method to find similar movies. We use CMU Movie Summary Corpus as our dataset. An open source TopMine is used and tuned to process raw movie plot summary information. We then use case study to show our algorithm can produce satisfying result comparing to other methods. Our framework can be extended to be applied to actor similarity and similarity measure in other databases.
Belief-function representation of statistical audit evidence

The belief-function representation of statistical evidence has always been a problematic issue. This problem is of particular importance to auditing because it is an application domain that fits the belief-function framework very well, but that is also confronted with the frequent use of statistical evidence as well as nonstatistical evidence, Hence, there is a need for methods to represent statistical evidence as belief functions to combine them with belief functions from other evidence types and to obtain belief in final conclusions. This paper proposes such a method designed for application in an auditing context, although it can be useful in other contexts as well. The explanation of this method, as well as the comparison of its properties with those of other existing methods is the subject of this paper.
The Dependence Of Overwrite On Non-linear Transition Shift

Overwrite (OW) is a function of both the density of the low frequency pattern and the density of the high frequency pattern. The dependence of overwrite on high frequency pattern density is due to interactions of hard transition shift with non-linear transition shift (NLTS) to produce timing modulation which is greater than the sum of these separate effects. Experimental results show that this interaction can degrade overwrite performance by as much as 6 dB.
1 PREDICTING MOVABLE BED ROUGHNESS IN COASTAL WATERS

Accurately predicting movable bed roughness is essential to the analyses of transport processes, but when the bottom is rippled, as it commonly is in the coastal environment, characterizing the roughness is less straightforward than when the bottom is flat. The common method of predicting roughness, while effective, unnecessarily predicts ripple geometry and requires a model-dependent factor, which varies widely, relating ripple geometry and bottom roughness. We have therefore developed an alternative, more direct method of predicting bed roughness in the ripple regime: the wave energy dissipation factor is predicted from flow and sediment information and then any desired theoretical friction factor model is used to back-calculate the roughness. This paper describes the common and proposed methods of predicting roughness and presents results of preliminary testing of the methods with field data. Both methods adequately predict current velocities in wave-current field flows, with the proposed method yielding the smaller RMS-error of 3.1 cm/s. Remaining questions concerning the appropriate near-bottom orbital velocity required to describe field conditions must be resolved when additional field data becomes available.
Ecological and Economical Aspects of Sustainable Development of Beekeeping

The sustainable development of beekeeping becomes possible only under conditions of balance between ecological and economical aspects of apiary business. The existing contradiction between the ecological and industrial sides is the main cause of the crisis of modern beekeeping, while the saturation of markets puts quality of honey at the forefront. The technological intervention in the natural development of bee families leads to a decrease in their productive qualities but the low technological level in the apiary also negatively affects the livelihoods of bees and their ecological indicators. Ukraine has significant potential of the beekeeping industry being one of the top exporters to the EU countries but imperfection of the legal framework and the lack of technological abilities are the reasons for the low honey quality because of high quote of individual and small commercial apiaries in the total production. The study of physics-chemical indicators of quality of honey in samples taken from different regions of Ukraine showed that the average values generally meet the requirements for the content of mass fraction of water, mass fraction of reducing sugars, and mass fraction of sucrose, diastase number, content of hydroxymethylfurfural (HMF), proline to domestic and international standards. The indicators of honey quality studied according to the size of the apiary business registration apiary divided into four main groups: individual, small, medium and large suggests that samples from the individual and small producers do not fully complied with the current standards of quality.
Assessing Quality of Life in ALS

The issue of quality of life is important for the patient with amyotrophic lateral sclerosis (ALS) and his or her family. Although initial thoughts frequently are that quality of life will be poor, there are strong data to support a relatively good quality of life despite the inexorable decline in strength and loss of function with disease progression. This article discusses how quality of life can be measured in ALS patients and caregivers, the results of studies, and factors affecting quality. It ends with 10 suggestions for clinicians who care for ALS patients and their caregivers.
Controlled dehydration of a biological sample using an alternative form of environmental SEM

In this study a non‐conductive biological sample is observed free of charging artefacts when placed on a cooled Peltier stage in the specimen chamber of an alternative form of the environmental scanning electron microscope, equipped with a specially designed hydration system. This system was used to create dynamically changing surrounding conditions leading to controlled dehydration of the sample enabling us to visualize the topographical structure of a rat tongue in the transition region between the liquid and the gas state of water in the microscope specimen chamber.