Miracle-dz/UniFAR-FTUs huggingface dataset:
The Overview of Lecturers’ Writing Skills in the Academic Context

Language politics spirited by the nuances of language preservation is reflected in Indonesia education milieu. The realization of the language preservation attempt includes the stipulation of Indonesia language as the language of education bring about an obligation to use the language as a tool of communication in educational environment include in students’ examination. Therefore, lecturers and students should ideally master the use of standard language to be implemented in academic. This research is to highlight lecturers’ writing skill. This study aims to describe language errors in the Final Examination test items at University level. These test items are the example of lecturer writing skills output. The research method used was qualitative research design with a descriptive approach. The 170 items of samples were taken by using purposive techniques. Errors were identified in 140 items (82.35%), consisting of 21 types of errors. A number of these errors are classified into 4 types i.e. errors in the aspects of grammar rules (47.37%), semantics (21.05%), syntax (17.22%), and morphology (14.35%). The dominated errors appeared in the grammatical rule aspect. This may be due to the lack of activities to improve language competence for lecturers. This description can be used as a basis for the policy makers to organize programs to improve lecturer academic language competence domain. Keywords—error analysis; language maintenance; writing skills; test items
Breve comunicazione: L'ombra del buco nero in M87

Non è mai una buona idea scommettere contro Einstein. Il compimento del primo secolo dalla Teoria della Relatività Generale (RG) ha portato a due scoperte epocali (la rivelazione delle onde gravitazionali e la prima immagine dell’ombra di un buco nero, appunto) che hanno confermato l’esistenza dei buchi neri, entità astrofisiche sulla cui reale esistenza lo stesso Einstein nutriva seri dubbi. I buchi neri sono la predizione fondamentale della RG come formulata da Einstein nel 1915. A dire il vero, Einstein non si preoccupò di trovare una soluzione alle sue famose equazioni del campo gravitazionale, cosa che venne fatta nel 1916 da Karl Schwarzchild. Quest’ultimo dimostrò un’interessante proprietà dei buchi neri: essi sono caratterizzati da un orizzonte degli eventi, ovvero da una sorta di membrana unidirezionale dello spazio-tempo dalla quale niente, nemmeno la luce, può fuoriuscire. In questi giorni è stato annunciato (in una serie di conferenze stampa contemporanee) il risultato dell’analisi delle osservazioni interferometriche condotte tramite l’Event Horizon Telescope (EHT) verso la galassia M87 [1]. I dati nella banda radio hanno permesso di osservare per la prima volta, direttamente ed inequivocabilmente, la regione dello spazio nelle immedite vicinanze di quello che è il buco nero super-massiccio contenuto nel centro della galassia.
Navigation and Illumination Control for Image-Based VR

Simulation sickness in virtual reality applications is usually due to the non-realtime display of virtual environment. Realtime display of arbitrarily complex scene is a hard problem in traditional geometry-based computer graphics. Image-based modeling and rendering (IBMR) provides an alternative approach whose rendering time complexity is independent of scene complexity. However, due to the lack of geometrical information, capabilities that are obvious to geometry-based virtual reality become difficult problems in image-based virtual reality. In this paper we discuss how two fundamental capabilities, navigation and illumination control, can be achieved in image-based virtual reality applications. To navigate an image-based scene, we need to know where pixels should be moved to and how to solve their visibility. While correspondences or optical flows can answer the former question, the visibility is more difficult to answer, as depth information may not be available. Deriving from epipolar geometry, we propose a triangle-based visibility-ordering algorithm, which can correctly resolve the occlusion without depth information. To control the illumination, we propose a new image representation that not just allows navigation but also re-rendering under various illuminations. By treating each image pixel as an ordinary surface element, we measure the apparent BRDF of each pixel from reference images. By manipulating these apparent pixel BRDFs, we are able to re-render (change the illumination of the scene in an image) without any geometry information. Even shadows can be correctly re-rendered.
Roturas del aparato extensor de la rodilla

Las roturas del aparato extensor de la rodilla se caracterizan por la existencia de una solución de continuidad en la “cadena tendones músculos huesos” que garantizan la extensión de la pierna sobre el muslo. Las lesiones del mecanismo extensor de la rodilla incluyen las roturas del tendón del cuádriceps (TC), las roturas del tendón rotuliano (TR), las fracturas de la tuberosidad anterior de la tibia, las luxaciones femoro-rotulianas y, como no, las fracturas de rótula . Estas lesiones suelen ser traumáticas; pero pueden ser provocadas por una patología preexistente. De todas ellas, las de mayor incidencia, a larga distancia de las demás, son las fracturas de rótula; y las lesiones denominadas yatrógenas, secundarias a intervenciones quirúrgicas previas son cada vez más frecuentes. El capítulo que nos ocupa es el de las roturas tendinosas, exclusivamente. Las roturas tendinosas del aparato extensor de la rodilla, son poco frecuentes, las que afectan al tendón del cuádriceps son bastantes más frecuentes, unas tres veces mas, y suelen ocurrir en personas mayores de 40 años, al contrario que las lesiones del tendón rotuliano que acaecen normalmente en pacientes menores de 40 años (18,29,35)
Effect of masker orientation on masking efficacy in soundscape applications

Adding desired sounds, also known as auditory masking, to the sonic environment is one of the practiced soundscape implementation strategies. At present, soundscape researchers are evaluating the perceived improvement in pleasantness of the soundscape in the presence of pleasing sounds through listening tests in controlled environments. So far, investigation has been limited to a fixed masker orientation (collocated with the noise source), which is not representative of the real scenario where listeners experience maskers from different orientations in the sonic environment. Hence, to understand the effects of adding wanted sounds to a noisy environment at various orientations, visual stimuli are reproduced in immersive Virtual Reality (VR) headsets paired with open-backed headphones. The visual stimuli for VR are recorded with an omni-directional video camera rig, which was designed in-house, consisting of six cameras. Acoustic stimuli are recorded with an ambisonic microphone attached to the video camera rig. Subjective evaluation to determine the effects of various masker orientations is conducted under controlled laboratory conditions.
Quelles connaissances les étudiants mobilisent-ils pour coopérer en futsal à l’aide d’une tablette numérique ?

Cette etude s’interesse a la facon dont des etudiants en deuxieme annee de licence STAPS s’approprient l’usage de tablettes numeriques a des fins d’amelioration de leur pratique d’une activite sportive collective (le futsal), incluant une pratique d’intervention. Nous mobilisons a cet effet les descripteurs issus de la theorie de l’action conjointe en didactique (Sensevy, 2011) dans le cadre d’une analyse qualitative de moments d’autoscopie individuels et d’echanges collectifs medies par l’utilisation de la tablette, en etayant nos analyses par celles des discours vehicules selon differentes conditions par les etudiants et par leur professeur. Nos resultats revelent la facon dont l’epistemologie pratique des etudiants traduit une evolution des connaissances mobilisees pour analyser leur pratique, pour interagir avec leurs camarades et pour intervenir aupres d’eux. Ces resultats mettent en exergue une co-construction de competences a intervenir marquees par une attention croissante aux conditions d’emergence d’un « voir comme » (Wittgenstein, 1953/2004) partage, comme support d’elaboration de strategies d’interactions reciproques. Ils engagent a discuter la mise en complementarite des experiences d’action et de retour sur l’action au sein des cursus de formation universitaires.
Heterogeneous Systems for Information-Variable Environments (HIVE)

Abstract : The US Department of Defense envisions the use of autonomy (independent robotic systems) in complex operational environments where there are substantial constraints on communications, sensing capability, and local processing. Many instances of autonomous systems exist that function very well in highly constrained situations and environments but fail to generalize to novel unconstrained environments. As such, foreseeable future autonomy will not have the ability to independently function in these scenarios. This report describes fundamental research into the issues underlying the control of such heterogeneous systems and aims to lay the groundwork for the development of generalizable methodologies for the effective integration of heterogeneous agents in dynamic, information-variable environments. Specifically, we focus on 4 research areas: 1) directly accounting for human variability to enable better integration of human decisions, 2) data fusion/computer vision (CV), 3) agent adaptation, 4) and networking dynamic teams of humans and machines. Additionally, we describe efforts to integrate these 4 research areas through both ongoing experiments and plans for future work. In the long term, these theories will enable the creation of an analytical framework for humanmachine network design and control and enable powerful, highly adaptive humanautonomy systems that will be a major technological push affecting a broad range of applications.
SIMULATION MODEL OF CELLULAR NETWORK BANDWIDTH CONGESTION DUE TO MMS ATTACKS ON MOBILE PHONES

This paper attempts to develop a simulation model that would predict the bandwidth congestion of mobile networks due to multimedia message service (MMS) attacks on mobile phones. The study used an experimental design using simulation modeling. Assumptions were formulated to measure different variables. Findings revealed that the MMS attacks on mobile phones do not cause congestion on the cellular network due to the relatively small data size of the UDP packet.
On the Optimal Location of Several Peizoelectric Elements on the Structure Surface

In this paper, based on the solution of the natural vibration problem an approach for determining the best options for the arrangement of piezoelectric elements on the surface of a structure allowing an essential improvement of its dynamic characteristics is proposed. The condition for a maximum value of the generalized electromechanical coupling coefficient, which characterizes the fraction of the converted mechanical energy of vibrations into the electrical energy, is adopted as an optimality criterion. The performance of the proposed approach is demonstrated by solving an example problem of locating two piezoelectric elements on the surface of a spatial structure providing damping of its vibrations at the selected frequencies. The obtained results are substantiated by the frequency response plots of the electric potential, obtained for different options of placement of piezoelectric elements on the surface of a structure under forced steady-state vibrations.
Okullarda Korku Kültürü Ölçeği: Geçerlik ve Güvenirlik Çalışması

The aim of this study is to develop a scale to determine the level of fear culture experienced by teachers in schools. For the purpose of this study, a 32-item pool was created by researchers in the context of literature review and teacher opinions. These substances were examined with field expert and measurement assessment specialist and the number of items was reduced to 29. Based on the opinions obtained from 20 experts for the candidate scale, it was decided that 8 items should be removed from the scale and a 21-item, 5-point Likert-type scale was created. The resulting scale was prepared as an online form. The prepared form was delivered to teachers by using e-mail and other communication tools and feedback was received from 320 teachers. As a result of the exploratory factor analysis conducted to determine the construct validity of the scale, it was determined that the scale consists of 3-factor structure explaining 64,662% of the total variance. It was concluded that factor structure was appropriate with confirmatory factor analysis. In order to verify the criterion validity of the study item-total test correlation, t-test between the upper and lower 27% groups were examined. "Climate of Fear Scale" was used for similar scale validity. In order to determine the reliability results, Cronbach's Alpha values were examined according to the sub-dimensions and total score of the scale and it was found that these values ranged between 0.80 and 0.92. Fear culture level can be determined in schools by taking the total score of the developed scale.
The development of microfluidic paper-based analytical devices for point-of-care diagnosis of sheep scab

The recent growing interest and development of microfluidic paper-based analytical devices (μPADs) for point-of-care (POC) testing in human health in low-resource settings has great potential for the exploitation of these technologies in animal disease diagnosis. Sheep scab is a highly infectious, widespread and notifiable disease of sheep, which poses major economic and welfare concerns for the UK farming industry. The possibility of diagnosing sheep scab at the POC is, consequently, very important to controlling this disease. The overall aim of this project was, therefore, to develop μPADs based on a novel method of fabrication, in order to translate the existing labbased sheep scab ELISA (Pso o 2) and a biomarker test for haptoglobin (Hp) into paperbased ELISA (P-ELISA), to enable POC diagnosis of this animal disease. In Chapter 3, the novel fabrication method is described, in Chapters 4 and 5, the translation of the labbased ELISAs (Hp and Pso o 2 respectively) are explained and in Chapter 6 the development of a μPAD for incorporation of the POC tests into a multiplexed, rapid assay is covered. Experiments showed that both ELISAs were successfully transferred onto paper and that the devices developed were suitable for POC testing. This study has resulted in a novel fabrication method for μPADs, in successfully translated existing ELISAs to P-ELISA and in novel solutions for the POC diagnosis of an important veterinary disease.
Analysis Of The Impact Of Online Product Reviews On Temporal And Cognitive Search Costs: An Eye-Tracking Approach

The literature on online product reviews examine the fundamental premise that reviews reduce search costs and also increase consumer confidence in their purchase decisions, whichhas not been proven in the previous literature. We conducted an experiment using an eye-tracking machine to measure the impact of online reviews on consumer information search costs and on decision confidence. We find that both editorial reviews and customer reviews when presented separately reduce the search time considerably, but not when present together. However, we find that the presence of both types of reviews increases decision confidence considerably, thereby, suggesting a trade-off between search time and decision confidence. When both types of reviews are presented together, the cognitive cost of processing non-review information is significantly reduced implying more efficient allocation of cognitive resources. We conclude with several managerial recommendations for ecommerce firms.
Football match prediction using deep learning

In this thesis, the deep learning method Recurrent Neural Networks (RNNs) has been investigated for predicting the outcomes of football matches. The dataset consists of previous recorded matches from multiple seasons of leagues and tournaments from 63 different countries and 3 tournaments that include multiple countries. In the thesis work, we have studied several different ways of forming up input data sequences, as well as different LSTM architectures of RNNs that may lead to effective prediction, along with LSTM hyper-parameter tuning and testing. Extensive tests have been conducted through many case studies for the prediction and classification of football match winners. Using the proposed LSTM architectures, we show that the classification accuracy of the football outcome is 98.63% for many-to-one strategy, and 88.68% for manyto-many strategy. The prediction accuracy starts from 33.35% for many-to-one and 43.96% for many-to-many, and is increasing when more information about a match from longer time duration of data sequence is fed to the network. Using the full time data sequence, the RNN accuracy reached 98.63% for many-to-one, and 88.68% for many-to-many strategy. Our test results have shown that deep learning may be used for successfully predicting the outcomes of football matches. For further increasing the performance of the prediction, prior information about each team, player and match would be desirable.
From neurons to voxels - repetition suppression is best modelled by local neural scaling

Inferring neural mechanisms from functional magnetic resonance imaging (fMRI) is challenging because the fMRI signal integrates over millions of neurons. One approach is to compare computational models that map neural activity to fMRI responses, to see which best predicts fMRI data. We used this approach to compare four possible neural mechanisms of fMRI adaptation to repeated stimuli (scaling, sharpening, repulsive shifting and attractive shifting), acting across three domains (global, local and remote). Six features of fMRI repetition effects were identified, both univariate and multivariate, from two independent fMRI experiments. After searching over parameter values, only the local scaling model could simultaneously fit all data features from both experiments. Thus fMRI stimulus repetition effects are best captured by down-scaling neuronal tuning curves in proportion to the difference between the stimulus and neuronal preference. These results emphasize the importance of formal modelling for bridging neuronal and fMRI levels of investigation.
Ecien t algorithms for clone items detection

This paper presents ecien t algorithms for clone items de- tection in a binary relation. Best implementation of these algorithms has O(|J|.||M||) time complexity, with J corresponding to the set of items of the relation and ||M|| corresponding to the size of the relation. This re- sult improves the previous algorithm given in (3) which is O(|J| 2 .||M||). Clone items have been introduced by Medina and Nourine to explain why, sometimes, the number of rules of a minimum cover of a relation is exponential with the number of items of the relation.
Video Smoothing of Aggregates of Streams with Bandwidth Constraints

Compressed variable bit rate (VBR) video transmission is acquiring a growing importance in the telecommunication world. High data rate variability of compressed video over multiple time scales makes an efficient bandwidth resource utilization difficult to obtain. One of the approaches developed to face this problem are smoothing techniques. Various smoothing algorithms that exploit client buffers have been proposed, thus reducing the peak rate and high rate variability by efficiently scheduling the video data to be transmitted over the network. The novel smoothing algorithm proposed in this paper, which represents a significant improvements over the existing methods, performs data scheduling both for a single stream and for stream aggregations, by taking into account available bandwidth constraints. It modifies, whenever possible, the smoothing schedule in such a way as to eliminate frame losses due to available bandwidth limitations. This technique can be applied to any smoothing algorithm already present in literature and can be usefully exploited to minimize losses in multiplexed stream scenarios, like Terrestrial Digital Video Broadcasting (DVB-T), where a specific known available bandwidth must be shared by several multimedia flows. The developed algorithm has been exploited for smoothing stored video, although it can also be quite easily adapted for real time smoothing. The obtained numerical results, compared with the MVBA, another smoothing algorithm that is already presented and discussed in literature, show the effectiveness of the proposed algorithm, in terms of lost video frames, for different multiplexed scenarios.
Cost-oriented component redundancy allocation for a communication system subject to correlated failures and a transmission reliability threshold

Transmission quality of a communication/computer system is a high-level objective of system supervisors. Therefore, transmission reliability improvement or optimization is an important issue for many organizations. One way to maximize transmission reliability is to model the system as a stochastic communication network including arcs and nodes and then determine the optimal component redundancy allocation. However, modern components are highly reliable. Thus, a decision maker may be more concerned about cost than reliability. This article considers cost-oriented component allocation subject to a reliability threshold and correlated failures characterized by a correlated binomial distribution model. To solve this problem, we employ a genetic algorithm to search for the optimal component redundancy allocation possessing minimal allocation cost. The computational efficiency of the genetic algorithm–based method is demonstrated through several benchmark networks and compared against several popular soft computing algorithms.
Environmental management with the balanced scorecard : A case study of the Berlin Water Company, Germany

The case study of the Berlin Water Company shows how Corporate Sustainability can be applied even in the difficult changing business environment. The business of water supply and wastewater treatment is changing towards privatisation and higher profitability. New tools and management methods such as the Balanced Scorecard can be introduced and used to integrate Corporate Sustainability in a new way as an important strategic objective for a sound future. The article explains how Corporate Sustainability can be included in the larger concept of the Balanced Scorecard. It describes and analyses the process of developing and introducing a strategic objective (resource management and protection). It creates indicators and targets for environmental protection into the Balanced Scorecard of the Berlin Water Company. Thus it shows how the Balanced Scorecard can be used as a management tool for environmental management.
Deep Down, You Are a Scientist

Although we are not aware of the scientific experimentation occurring in our brain on a momentary basis, the scientific process is fundamental to how our brain works. This process involves three key components. First: hypotheses. Our brain makes hypotheses, or predictions, all the time. Every movement that we make involves predicting [1] – where will my arm end up if I engage this muscle, how heavy is the cup of coffee that I am planning to grasp and bring to my mouth, etc. A stark example is the familiar experience of going up the stairs in the dark (or while reading email on your phone) and almost falling because you expected, predicted, that there would be one more stair. We could have simply lifted our legs and decided whether there is a stair or not based on sensory feedback (do I feel a hard surface or not? ), but anyone who has traveled up a flight of stairs in pitch dark knows that this is extremely slow and attention-demanding. Our normal stairclimbing is quick and effortless thanks to accurate predictions.