Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Functional Electrical Stimulation Rowing System and Coaching Application

Functional electrical stimulation (FES) involves electrically stimulating paralyzed muscle to contract and has been integrated into rehabilitation exercises for individuals with spinal cord injury (SCI). Unlike other exercises, FES-rowing requires many training sessions for beginners to learn the appropriate timing of administering FES to their legs through a manual push button, required for performing the exercise with correct technique. Therefore, the purpose of this study was to develop a coaching system to instruct new rowers on the optimal timing for administering
THE AXIAL RATIO OF PLANAR ARRAYS WITH RANDOM ELEMENT ERRORS

Characterizing the random errors at the elements of a phased array antenna leads to equations that estimate the associated performance degradation. The increase in sidelobe level and decrease in gain due to random errors is well established. This paper derives an expression that predicts the axial ratio degradation due to random errors in the circularly polarized elements of an array. In the case of small errors in an array of crossed dipoles, we found a simple expression for the axial ratio of the array under random errors at broadside.
POTENSI ARKEOLOGI LANSKAP BAWAH AIR INDONESIA

Indonesia has a great potential to be a country-wide laboratory of underwater landscape study. This is due to the fact that its two main contingents, Sunda and Sahul, had been experiencing sea level rise event in the late of ice age which intersected the timeline of prehistoric human migration. Even though Indonesian ocean preserves the richness of underwater resources, including archaeological data, the study itself has not been touched by many. This paper will focus in two objectives: 1) Reconstructing paleo-river model and;2) Potential prehistoric remnants in Misool Islands caves. The method used includes field survey by diving and data brackets by using sub-bottom profiler. Besides, we also conducted literature reviews.The results of this study indicate that the Sunda and Sahul Exposures are likely to be inhabited by humans, but at this time the remains have sunk on the seabed. It is hoped that this study can be the basis and motivation for future archeological research such as prehistoric human settlements and migration in a submerged landscape environment.Keywords:Submerged landscape, Sunda shelf, Sahul shelf, Sea-level change, Underwater archaeologyIndonesia memiliki potensi yang besar untuk menjadi sebuah laboratorium penelitian lanskap bawah air. Gagasan ini didasarkan pada fakta bahwa dua kontingen yang membentuk Indonesia, Paparan Sunda dan Sahul, mengalami perubahan air laut pada akhir zaman es yang bersinggungan dengan migrasi manusia prasejarah. Walaupun lautan Indonesia menyimpan kekayaan alam, termasuk data arkeologi, penelitian tentang lanskap bawah laut belum banyak disentuh. Studi ini bertujuan untuk membahas dua hal: 1) rekonstruksi model sungai purba dan;2) potensi peninggalan jejak prasejarah di gua bawah air di Pulau Misool. Metode yang digunakan adalah melakukan survei lapangan, dengan melakukan penyelaman dan perkeman data menggunakan alat akustik sub-bottom profiler, selain itu kami juga melakukan kajian dan review pustaka. Hasil studi ini menunjukkan bahwa Paparan Sunda dan Sahul kemungkinan besar telah dihuni oleh manusia namun pada saat ini peninggalannya telah tenggelam di dasar laut, diharapkan kajian ini dapat menjadi dasar dan motivasi untuk riset arkeologi mendatang seperti hunian dan migrasi manusia prasejarah pada lingkungan lanskap yang tenggelam.Kata kunci: Lanskap bawah air, Paparan sunda, Paparan sahul, Perubahan tinggi air laut, Arkeologi bawah air
MASTERARBEIT / MASTER’S THESIS

This thesis summarises my tasks and efforts during the Technical Student Programme at CERN in 2016/17. First, the main experiment Aegis and its theoretical background are introduced. Aegis is located at CERN’s Antiproton Decelerator (AD) and its main scientific goal is to measure Earth’s gravitational acceleration on antihydrogen. To enhance the accuracy of this gravitational acceleration measurement a doubly sympathetic cooling scheme was proposed by Michael Doser (CERN) and Alban Kellerbauer (University of Heidelberg), involving antiprotons, a cationic and an anionic species, which are simultaneously confined in a penning trap, with only one actively cooled (cationic) species. The focus of this thesis lies on testing the functionality of this doubly sympathetic cooling scheme using a penning trap simulation program called Simbuca, which calculates the coulomb force on a GPU, what reduces the simulation times significant. Besides, the theoretical physical background is presented, which is necessary to follow the subsequent simulations. The performed Simbuca-simulations are analysed in detail and the behaviour of the trapped, charged particles is described. Furthermore, although a sympathetic cooling effect between the oppositely charged particles was clearly observed, the functionality of the proposed scheme could only be confirmed with severe limitations.
Objective evaluation versus subjective evaluation of flexion tests in the pelvic limb of horses

The agreement between subjective and objective evaluation methods was studied to identify claudication in the pelvic limbs of horses before and after flexion tests were performed. Twenty-nine horses were equipped with a wireless system of inertial sensors and evaluated during seven times while trotting. Videos were recorded to be evaluated by three veterinarians, with different levels of experience, to evaluate the agreement between the two different methods and between the evaluators. The evaluators and the objective evaluation had a low rate of agreement, with the exception of moderate agreement between the objective evaluation and evaluator 1 to identify lameness after the left total flexion and moderate agreement in evaluating the response to the tests, between objective evaluation and evaluator 2, after right distal flexion. This shows that there was a low agreement among the evaluators and between them and the objective evaluation for identifying lameness, measuring the degree of lameness and the response to the flexion tests.
NDT_A_214217 2853..2867

*These authors contributed equally to this work Aim: Parkinson’s disease and schizophrenia are clinical end points of dopaminergic deficit and excess, respectively, in the mid-brain. In accordance, current pharmacological interventions aim to restore normal dopamine levels, the overshooting of which culminates in adverse effects which results in psychotic symptoms in Parkinson’s disease and extra-pyramidal symptoms in schizophrenia. Currently, there are no laboratory assays to assist treatment decisions or help foresee these drug side-effect outcomes. Therefore, the aim was to discover a protein biomarker that had a varying linear expression across the clinical dopaminergic spectrum. Materials and methods: iTRAQ-based proteomic experiments along with mass spectrometric analysis was used for comparative proteomics using cerebrospinal fluid (CSF). CSF fluid was collected from 36 patients with Parkinson’s disease, 15 patients with urological diseases that served as neurological controls, and seven schizophrenic patients with hallucinations. Validation included ELISA and pathway analysis to highlight the varying expression and provide plausible molecular pathways for differentially expressed proteins in the three clinical phenotypes. Results: Protein profiles were delineated in CSF from Parkinson’s disease patients, neurological control and schizophrenia, respectively. Ten of the proteins that were identified had a linear relationship across the dopaminergic spectrum. α-2-Macroglobulin showed to be having high statistical significance on inter-group comparison on validation studies using ELISA. Conclusions: Non-gel-based proteomic experiments are an ideal platform to discover potential biomarkers that can be used to monitor pharmaco-therapeutic efficacy in dopamine-dictated clinical scenarios. α-2 Macroglobulin is a potential biomarker to monitor pharmacological therapy in Parkinson’s disease and schizophrenia.
Optimal Slope Compensation for Peak鄄current Controlled DC鄄DC Boost Converter

The nonlinear phenomena are obvious in DC鄄DC Boost converters, resulting in destabilization due to fac鄄 tors such as sub鄄harmonics oscillation and chaos. In this paper, constant slope compensation is applied to a peakcurrent controlled DC鄄DC Boost converter, which can eliminate the nonlinear phenomena but reduce the reference current and rated input power. To solve the above problems, a novel optimal slope compensation scheme is put forward. Meanwhile, the expressions of reference current and average inductor current are derived accordingly. Simulation and experimental results verified the theoretical analysis, as well as the effectiveness of the proposed optimal slope compensation strategy.
Strategic service quality in facing global environment: Bengkulu, Indonesia evidence

The globalization of Information Communication and Technology become a new regime in the worldwide economics. Because it is a compulsory for adaptation of civilization on information and communication technology in order to improve the competitiveness in domestic and international institutions. The usage of information technology (ICT) in today's era to become faster, rapid and massive way that can facilitate all the activities in all areas of activities inside the organization. The aims of this paper is to assess how the service quality especially in information technology and systems give better service in supporting the routine and non-routine works in the organizations to serve their customers. Here, the researchers using the SERVQUAL model which adopted and modified according to the object of research services of the business unit. This research conducted in Bengkulu Sumatera a few months ago by distributing questionnaire to respective respondents. From sum the data collected by the researchers are 278 respondents then doing statistically processed. From the collecting data there are findings on tangibles’ 61,724, and Variable of Reliability 57,631, for Responsiveness 67, 271, for Assurance 53, 467 and for variable Empathy 42,693. Some of variable have met the expectations, while the other variables are still not fulfilling the need of respondents. This paper also provided the proposed strategic recommendations as part of the Good University Governance to be implemented in facing the global environment.
PGPM_A_230751 369..375

Ru-Yin Hu* Xiao-Bin Tian* Bo Li Rui Luo Bin Zhang Jin-Min Zhao 1Department of Orthopaedics, Guangxi Medical University, Nanning 530021, People’s Republic of China; 2Department of Orthopaedics, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, People’s Republic of China; 3Department of Orthopaedics, Guizhou Provincial People’s Hospital, Guiyang 550002, People’s Republic of China
AN OPERATOR-ASSISTED ROBOTIC ARM IMPLEMENTATION VIA LEAP MOTION CONTROLLER

It is obvious that the medical, military and industry are the sectors which mostly benefit from the technological developments. Innovations and improvements about robotic technology find place in these listed sectors directly or indirectly. For example, in a medical application; touches of the robotic fingers can be sensed by human through electrodes which are located into the brain. In military field, vehicles with robotic arm can do searching/destruction activities in dangerous areas. On the other hand, in industrial field robotic arm technology is used in manufactural activities frequently. In this practical application, it is purposed that sensing of motions and carrying over to the robotic arm without auxiliary instrument apart from the Leap MotionTM Controller (LMC). In this way, an application that imitates human arm and hand motions has been developed. This study has specific features which can be used for various purposes in medical, military and industrial fields. Furthermore, it contributes an innovative approach to operator-assisted robotic arm technology.
Remote Sens

Multiple stable states are established in coastal tidal wetlands (marshes, mangroves, deltas, seagrasses) by ecological, hydrological, and geomorphological feedbacks. Catastrophic shifts between states can be induced by gradual environmental change or by disturbance events. These feedbacks and outcomes are key to the sustainability and resilience of vegetated coastlines, especially as modulated by human activity, sea level rise, and climate change. Whereas multiple stable state theory has been invoked to model salt marsh responses to sediment supply and sea level change, there has been comparatively little empirical verification of the theory for salt marshes or other coastal wetlands. Especially lacking is long-term evidence documenting if or how stable states are established and maintained at ecosystem scales. Laboratory and field-plot studies are informative, but of necessarily limited spatial and temporal scope. For the purposes of long-term, coastal-scale monitoring, remote sensing is the best viable option. This review summarizes the above topics and highlights the emerging promise and challenges of using remote sensing-based analyses to validate coastal OPEN ACCESS Remote Sens. 2015, 7 10185 wetland dynamic state theories. This significant opportunity is further framed by a proposed list of scientific advances needed to more thoroughly develop the field.
Prediction of Film Score: Based on Character Relations

Film industry plays an important role in people's leisure life, and it has been booming even more important in recent years. With increasingly amount of film and television practitioners joining the industry, the competition in the film industry is becoming progressively fierce. Therefore, the significance of writing good movie scripts has appeared in the field. In this article, we constructed the character relationship network with software python and extracted some information from the network and constructed a linear model with least square method based mainly on 45 randomly selected films to help the relevant practitioners build a better character relationship network in the movie script. The appropriate linear model M2 is selected by using the 5-fold cross-validation method. Then we built the random forest model MR and also used 5-fold cross-validation method to test the model. The results show that the model MR has a much better predictive effect on movie scoring compared with model M2. The model reveals that some parameters of the character relationship network in the script are able to determine the final score of the film to some degree, which will provide a reference value for the creation of the script in the film production.
Picking location metrics for order batching on a unidirectional cyclical picking line

In this paper order batching is extended to a picking system with the layout of a unidirectional cyclical picking line. The objective is to minimise the walking distance of pickers in the picking line. The setup of the picking system under consideration is related to unidirectional carousel systems. Three order-to-route closeness metrics are introduced to approximate walking distance, since the orders will be batched before the pickers are routed. All metrics are based on the picking location describing when a picker has to stop at a location to collect the items for an order. These metrics comprise a number of stops, a number of non-identical stops and a stops ratio measurement. Besides exact solution approaches, four greedy heuristics as well as six metaheuristics are applied to combine similar orders in batches. All metrics are tested using real life data of 50 sample picking lines in a distribution centre of a prominent South African retailer. The capacity of the picking device is restricted, thus the maximum batch size of two orders per batch is allowed. The best combination of metric and solution approach is identified. A regression analysis supports the idea that the introduced metrics can be used to approximate walking distance. The combination of stops ratio metric and the greedy random heuristic generate the best results in terms of minimum number of total cycles traversed as well as computational time to find the solution.
The Effect of Selected Meteorological Factors on the Process of “Polish Smog” Formation

The phenomenon of smog, i.e. excessive air pollution in urban areas is well-known and has been widely described in the literature. Typically, two types of smog are distinguished: the acid smog that is called “London smog” and the photochemical smog called “Los Angeles-type smog”. The first one is formed in the winter months. In contrast, the photochemical smog arises in the summer months. In recent years in Poland, especially in winter, alarms associated with poor air quality have become very common. Under Polish climatic conditions, the main reason for low air quality corresponds to the exceeded permissible concentrations of suspended particulate matter. The paper analyzes the process of “Polish smog” formation by comparing the recorded concentrations of PM10 suspended particulate matter at four monitoring stations of the Inspectorate of Environmental Protection with weather conditions prevailing at that time. The data from the monitoring stations located in four Polish cities: Krakow, Zabrze, Lodz and Gdansk were analyzed. The analysis covered the years 2014–2017. The results of this analysis showed that “Polish smog” arises under different meteorological conditions than other types of smog known from the literature.
Detection of Different Brain Diseases from EEG Signals Using Hidden Markov Model

The brain imaging device, Electroencephalography (EEG) provides several advantages over other brain signals like Functional Nearinfrared Spectroscopy (fNIRS) and Functional Magnetic Resonance Imaging (fMRI). It is non-invasive and easily applicable. EEG provides high temporal resolution with a low setup cost. EEG signals of several subjects which record electric potential caused by neurons firing in the brain are undergone a Hidden Markov Model (HMM) classification technique. We are particularly interested to detect the brain diseases from EEG signals by an HMM probabilistic model. This HMM model is built with a given initial probability matrix of five different states, namely, epilepsy, seizure, dementia, stroke and normality. The transition probability matrix is updated after each iteration of parameter estimation using Baum-Welch algorithm (B-W algorithm).
Product-Related Learning Activities and Their Impact on the Effectiveness of the Onboarding Process in a Software Development Team

The effectiveness of the onboarding is of importance to Information Technology (IT) companies since it determines how fast and how well the novice becomes integrated and independent in his or her new role as a developer. The onboarding process in most IT companies is often insufficient or non-existent. In this paper, action design science was conducted to investigate the current onboarding process in Ericsson to find areas for improvement. Two areas were found to be subject for enhancement – technical knowledge, and organizational knowledge. A product-related workshop was developed and integrated into a development team at Ericsson to examine it’s effect on the effectiveness of the onboarding process. The workshop consisted of Pecha Kucha presentations to enhance technical knowledge, and LEGO building workshop to enhance organizational knowledge. The workshop showed a modest positive improvement of the organizational knowledge, and no improvement of the technical knowledge. Keywords— Product-related learning, onboarding, evaluation, LEGO, Pecha Kucha, active learning, team-building
Wide-Area Phase-Angle Measurements for Islanding Detection—An Adaptive Nonlinear Approach

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Latent dimensions of morphological characteristics of preschool children

Morphological characteristics are the biological and physiological basis that generates the manifestation of anthropometric measures based on which we define the growth and development and state of nourishment of children. The aim of the study was to check the state of nourishment of children from three different kindergartens on the territory of the capital city of the Republic of Serbia, and to determine latent dimensions based on the collected anthropometric measurements and define their morphological structure. The sample included a total of 211 children aged 6 to 7. As a sample of measuring instruments and according to the assumption that the morphological model at this age was two-dimensional, anthropometric measures were used to estimate the longitudinal dimensionality of the skeleton, volume and mass and subcutaneous adipose tissue according to (Bala, & Popović, 2008). The results suggest that in all three groups of respondents two important major components were isolated, which, after rotation to a better parsimony position, gave a clearer structure composed of two isolated factors: Volume and subcutaneous fat factor and Longitudinal dimensionality and body weight factor. There was no significant correlation between isolated factors. Findings indicate that children are in a normal state of nourishment, but based on isolated factors they also indicate that the growth and development of children do not follow a linear trend and that anthropometric measures still dominate the assessment of soft tissue, hence the structure of morphological dimensions at this age can be defined as Soft tissue factor. It is believed that more intense bone growth in length will be the next stage that will occur. The authors believe that greater differences and variables regarding the state of nutrition and determining the morphological structure should be expected in one year in the pre-puberty period.
Non-invasive extraction of microsecond-1 scale dynamics from human motor cortex 2

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