Miracle-dz/UniFAR-FTUs huggingface dataset:
SuppleView: Rotation-Based Browsing Method by Changing Observation Angle of View for an Actor in Existing Videos

In this paper, we proposed the rotation based browsing method for video learning in personal training. SuppleView, which is flexible in respect of the user's physical position while viewing a video, enables coordinate translation free viewing between an observer and an actor. Previous work on video learning have not enough explored the limitation on the observation angle, although its angle effects for observer's comprehension and caused only in video learning not in observation with the actual trainer. The method solve this basic limitation by inferring the 3D pose of frames in a video. Based on those poses, we create an virtual agent with 3D model as an actor of movements, that is same with the movement in an original 2D video. The system transition for the two actors depends on the physical rotation of the user's head so that the angle of view for observing the actor also changes. Hence, the content rendering in proposed viewer could be provided to trainees as in kind-full form for their observation in the point of an observation angle of view. We report the method overview and our prototyping to show the proof of concept.
CrossWidgets: Enhancing Complex Data Selections through Modular Multi Attribute Selectors

Filtering is one of the basic interaction techniques in Information Visualization, with the main objective of limiting the amount of displayed information using constraints on attribute values. Research focused on direct manipulation selection means or on simple interactors like sliders or check-boxes: while the interaction with a single attribute is, in principle, straightforward, getting an understanding of the relationship between multiple attribute constraints and the actual selection might be a complex task. To cope with this problem, usually referred as cross-filtering, the paper provides a general definition of the structure of a filter, based on domain values and data distribution, the identification of visual feedbacks on the relationship between filters status and the current selection, and guidance means to help in fulfilling the requested selection. Then, leveraging on the definition of these design elements, the paper proposes CrossWidgets, modular attribute selectors that provide the user with feedback and guidance during complex interaction with multiple attributes. An initial controlled experiment demonstrates the benefits that CrossWidgets provide to cross-filtering activities.
Phenology and function in lycopod-Mucoromycotina symbiosis

Lycopodiella inundata is a lycophyte with a complex life cycle. The gametophytes and the juvenile, mature and retreating sporophytes form associations with Mucoromycotina fine root endophyte (MFRE) fungi, being mycoheterotrophic as gametophytes and mutualistic as mature sporophytes. However, the function of the symbiosis across juvenile and retreating sporophyte life stages remains unknown. We measured carbon-for-nutrient exchanges between L. inundata and MFRE across the transition from newly emerging sporophytes to mature sporophytes and in retreating adult sporophytes. We show MFRE fungi play distinct functional roles at each plant life stage, with evidence of bidirectional exchange of plant C for fungal acquired nutrients (N and P) between mature adult and retreating adult sporophytes and fungi, but no transfer of plant C to fungi and little fungal-acquired nutrient gain in juvenile sporophytes. Furthermore, we show that these functional stages correspond with different cytologies of colonisation. Our results show that MFRE have considerable plasticity in their interactions with the host plant which is related to the developmental stage of the host. This highlights the need for further research into symbiotic fungal function across plant life histories.
Mechanisms underlying proximity between oral commensal bacteria

Complex polymicrobial biofilm communities are abundant in nature particularly in the human oral cavity where their composition and fitness can affect health. While the study of these communities during disease is essential and prevalent, little is known about interactions within the healthy plaque community. Here we describe interactions between two of the most abundant species in this healthy microbiome, Haemophilus parainfluenzae and Streptococcus mitis. We discovered that H. parainfluenzae typically exists adjacent to Mitis group streptococci in vivo with which it also positively correlated based on microbiome data. By comparing in vitro coculture data to ex vivo microscopy we revealed that this co-occurrence is density dependent and further influenced by H2O2 production. We discovered that H. parainfluenzae has a more redundant, multifactorial response to H2O2 than related organisms and that the integrity of this system enhances streptococcal fitness. We also show that Mitis group streptococci can act as an in vivo source of NAD for H. parainfluenzae and that streptococci in vitro evoke patterns of carbon utilization from H. parainfluenzae that are similar to those observed in vivo. Our findings describe mechanistic interactions between two of the most abundant and prevalent members of healthy supragingival plaque that contribute to their survival in vivo.
Datenaufbereitung in der Landwirtschaft durch automatisierte semantische Annotation

Die moderne Landtechnik und zunehmende Digitalisierung landwirtschaftlicher Prozesse liefern vielfältige Daten. Deren effiziente und nutzbringende Verwendung leidet jedoch unter berechtigten Sorgen um Datenhoheit und -kontrolle, Formatbrüchen und unterschiedlichsten Interpretationen. Als Lösungsvorschlag präsentieren wir die sog. Wikinormia, eine kollaborative Plattform, in der interessierte Teilnehmer eigene, neue Datenformate beschreiben und diskutieren können. Sobald ein finalisiertes Vokabular erstellt ist, können spezifische Parser die Rohdaten in drei grundsätzliche Repräsentationen semantisch aufbereiten: Geo-Informationen, Zeitreihen und semantische Fakten (landwirtschaftlicher Wissensgraph). Dank der öffentlich zugänglichen Definitionen und Beschreibungen gewinnen Entwickler leicht Überblick über die für sie relevanten Konzepte. Vielfältige Dienste werden dann (vorbehaltlich individueller Zugriffsrechte) ihre Daten einfach über eine Query-Schnittstelle abfragen und Ergebnisse zurückspielen können. Diesen Lösungsvorschlag haben wir bereits in einem Prototyp im Projekt SDSD (Smarte Daten – Smarte Dienste) umgesetzt. Wir demonstrieren den Nutzen mit einer Reihe von repräsentativen Diensten aus der Landwirtschaft. Damit steht ein effizientes System zur kooperativen, flexiblen Digitalisierung landwirtschaftlicher Arbeitsabläufe zur Verfügung.
Acquisition and Identification of Transgenic Soybean using bar as a Selective Agent

On the basis of optimized soybean Agrobacterium-tumefaciens mediated transformation system,the trypsin inhibitor gene(sporamin)and chitinase gene(chitinase KDEL)were transformed into soybean cultivar YC-2 using germinated 1-2 days mature cotyledon node as explants and bar gene as a selectable agent in this paper.One hundred and fifteen putative transgenic soybean plants had been got and only 45 plants were positive transgenic plants identified by leaf painting 135 mg·L-1 Basta and polymerase chain reaction(PCR)methods.Six T0 positive plants were chosen,and four independent transgenic plants could be inherited into T1 progeny and the segregation rate of two T1 progenies were 3∶ 1,the other two T1 progenies were more than 3∶ 1.The results suggest that leaf painting 135 mg·L-1 Basta could be an effective and costless method to detect genetically modified soybeans progeny with bar gene as a selective agent.
Split-root Water Application to Highbush Blueberry Plants

Watered split-root portions of 2-year-old plants of ‘Bluecrop’ blueberry (Vaccinium corymbosum L.) exhibited significantly greater shoot dry weight, shoot thickness, shoot length, mean number of shoots, and leaf dry weight than nonwatered portions. Watered portions blossomed, produced fruit, and set new flower buds while existing flower buds died and no new flower buds formed on the nonwatered portions.
Biometric System for Mobile Validation of ID And Travel Documents

Current trends in security of ID and travel documents require portable and efficient validation applications that rely on biometric recognition. Such tools can allow any authority and citizen to validate documents and authenticate citizens with no need of expensive and sometimes unavailable proprietary devices. In this work, we present a novel, compact and efficient approach of validating ID and travel documents for offline mobile applications. The approach employs the in-house biometric template that is extracted from the original portrait photo (either full frontal or token frontal), and then stored on the ID document with use of a machine readable code (MRC). The ID document can then be validated with a developed application on a mobile device with digital camera. The similarity score is estimated with use of an artificial neural network (ANN). Results show that we achieve validation accuracy up to 99.5% with corresponding false match rate = 0.0047 and false non-match rate = 0.00034.
3D Face Recognition For Cows

This paper presents a method to recognize cows using their 3D face point clouds. Face is chosen because of the rigid structure of the skull compared to other parts. The 3D face point clouds are acquired using a newly designed dual 3D camera setup. After registering the 3D faces to a specific pose, the cow’s ID is determined by running Iterative Closest Point (ICP) method on the probe against all the point clouds in the gallery. The root mean square error (RMSE) between the ICP correspondences is used to identify the cows. The smaller the RMSE, the more likely that the cow is from the same class. In a closed set of 32 cows with 5 point clouds per cow in the gallery, the ICP recognition demonstrates an almost perfect identification rate of 99.53%.
The endogeneity of labour supply through migration: evidence from the OECD Countries

Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso. The endogeneity of labour supply through migration: evidence from the OECD Countries Autor(es): Soukiazis, Elias Publicado por: Faculdade de Economia da Universidade de Coimbra URL persistente: URI:http://hdl.handle. net/10316.2/25076
CULTURAL HERITAGE IN SMART CITY ENVIRONMENTS: THE UPDATE

Abstract. In 2017 we published a seminal research study in the International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences about how smart city tools, solutions and applications underpinned historical and cultural heritage of cities at that time (Angelidou et al. 2017). We now return to investigate the progress that has been made during the past three years, and specifically whether the weak substantiation of cultural heritage in smart city strategies that we observed in 2017 has been improved. The newest literature suggests that smart cities should capitalize on local strengths and give prominence to local culture and traditions and provides a handful of solutions to this end. However, a more thorough examination of what has been actually implemented reveals a (still) rather immature approach. The smart city cases that were selected for the purposes of this research include Tarragona (Spain), Budapest (Hungary) and Karlsruhe (Germany). For each one we collected information regarding the overarching structure of the initiative, the positioning of cultural heritage and the inclusion of heritage-related smart city applications. We then performed a comparative analysis based on a simplified version of the Digital Strategy Canvas. Our findings suggest that a rich cultural heritage and a broader strategic focus on touristic branding and promotion are key ingredients of smart city development in this domain; this is a commonality of all the investigated cities. Moreover, three different strategy architectures emerge, representing the different interplays among the smart city, cultural heritage and sustainable urban development. We conclude that a new generation of smart city initiatives is emerging, in which cultural heritage is of increasing importance. This generation tends to associate cultural heritage with social and cultural values, liveability and sustainable urban development.
Empowering Technology Acceptance Through the Added Value of Urgency: Teaching Profession Smart-Working Case

Summary: 1. Introduction - 2. Methodology and gap identification - 3. Theory: the recursive process of humans’ innovative creation - 4. Framing contexts and hermeneutical paradigms - 5. Intersecting innovation acceptance, urgency contexts and teaching profession smart working - 6. Results-7. Conclusion - Appendix. Abstract This research is based on the near future for pervasive technologies in social practices and work context, fixing its pillars on a controversial debate related to the innovation acceptance under the light of the 4 th industrial revolution. The recent Covid-19 pandemic would shape the line of a new work environment, never experienced before with this wide spread: smart working. The authors would try to clarify at theoretical level the role of knowledge in innovation and evolution of civil society based on needs and problem-solving. The objective to shape a theoretical dorsal in which intersect empirical analysis (survey-based) on real smart-working experiences, would be strictly related to urgency conditions (as acceptance facilitator), due to the considerable one of the widest “social phenomenon” observable (Covid-19). In this sense, the authors make possible to investigate the relations between need, knowledge, urgency and smart-working acceptance among public sector teachers in Italy.
GENETIC STRUCTURE OF POPULATIONS OF ANASTREPHA LUDENS (DIPTERA: TEPHRITIDAE) IN MEXICO

The wide geographic range of Anastrepha ludens (Loew) (Diptera: Tephritidae) in Mexico and its ability to use various taxonomically unrelated host plant species suggests that this species has considerable evolutionary potential and represents a high risk pest. The genetic diversity and structure of A. ludens populations from 7 Mexican states (Chiapas, Yucatán, Morelos, Veracruz, San Luis Potosí, Tamaulipas and Durango) were investigated. Flies were collected as larvae from infested citrus fruits in each state, and sent as pupae to the Genetic Sexing Laboratory at the “Moscafrut ” facility in Metapa, Chiapas, where adults emerged and were used in isoenzymatic analysis. Genetic diversity was estimated based on expected and observed heterozygosity, mean number of alleles and polymorphism obtained from allelic and genotypic frequencies of 6 enzyme loci revealed in cellulose acetate. Expected heterozygosity (H e ) ranged from 0.199 to 0.330, and percentage of polymorphic loci (P) was between 50 and 67%. We found a high level of inbreeding (F is = 0.393, F it = 0.456) and moderate genetic differentiation among populations (F st = 0.105). A negative correlation was found between elevation and H e. We conclude that A. ludens populations are genetically diverse with moderate levels of differentiation. Genetic structure could not be attributed to the geographic distance among populations. Differentiation could be the result of natural selection associated with the colonization process. Genetic drift and pest management practices may have contributed to this differentiation to a lesser extent.
Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma

Vestibular schwannomas are benign brain tumors that can be treated radiosurgically with the Gamma Knife in order to stop tumor progression. However, in some cases tumor progression is not stopped and treatment is deemed a failure. At present, the reason for these failed treatments is unknown. Clinical factors and MRI characteristics have been considered as prognostic factors. Another confounder in the success of treatment is the treatment planning itself. It is thought to be very uniformly planned, even though dose distributions among treatment plans are highly inhomogeneous. This paper explores the predictive value of these dose distributions for the treatment outcome. We compute homogeneity indices (HI) and three-dimensional histogram-of-oriented gradients (3D-HOG) and employ support vector machine (SVM) paired with principal component analysis (PCA) for classification. In a clinical dataset, consisting of 20 tumors that showed treatment failure and 20 tumors showing treatment success, we discover that the correlation of the HI values with the treatment outcome presents no statistical evidence of an association (52:5% accuracy employing linear SVM and no statistical significant difference with t-tests), whereas the 3D-HOG features concerning the dose distribution do present correlations to the treatment outcome, suggesting the influence of the treatment on the outcome itself (77:5% accuracy employing linear SVM and PCA). These findings can provide a basis for refining towards personalized treatments and prediction of treatment efficiency. However, larger datasets are needed for more extensive analysis.
Microsoft Word-paper_final_IJF_joern_proposal.docx

The 2024-T351 aluminum alloy is extensively used for fabricating aircraft parts. This alloy shows a relatively low ductility at room temperature and is generally heat treated in various conditions to suit particular applications. The present study experimentally and numerically analyzes the damage mechanism of an Al2024-T351 plate (short transverse direction) subjected to multi-axial stress states. The purpose of this work is to predict the cyclic lifetime of the considered alloy, based on the local approach of damage evolution using continuum damage modeling (CDM). The experimental program involves different kinds of specimens and loading conditions. Monotonic and cyclic tests have been conducted in order to measure the mechanical response and also to perform micromechanical characterization of damage and fracture processes. The cyclic plasticity behavior has been characterized by means of smooth cylindrical specimens. For analyzing the evolution of plastic deformation and damage under multi-axial stress conditions, cyclic loading tests in the low cycle regime have been conducted on different round notched bars. The predictions of the CDM were compared to the experimentally observed mechanical response and to the micromechanical characterization of damage. Emphasis was placed on the prediction of the number of cycles to failure.
MALAYSIAN ONLINE JOURNAL OF EDUCATIONAL MANAGEMENT (MOJEM)

Issue concerning academic stress, coping and social cultural adaptation among university students has driven to the need of deep understanding about factors that affect their psychological well-being. A correlational research design was used in this study. The researcher used two softwares to analyze the study data, namely IBM SPSS Statistics 23 and SmartPLS 3 (Partial Least Squares). The numbers of respondents in this study were 424 people. The sample determination in this study was using a simple random sampling technique. This study identified the influence of academic stress factors, coping and social cultural adaptation on psychological well-being of Indonesian postgraduate students, as well as produced a conceptual model that correlates between independent variables and dependent variable in this study. Thus, it can be concluded that academic stress, coping and social cultural adaptation have a significant influence on the psychological well-being of Indonesian postgraduatestudents. Hopefully, the results of this study can significantly contribute to the management of higher education, educators and professional counselors to pay more attention to the issue of academic stress experienced by postgraduate university students.
INCREASING THE STORAGE ABILITY OF ZIBDA MANGOES

Mango (Mangifera indica L.), Zibda cultivar is considered as a sensitive cultivar to low storage temperature. Fruits were from Zibda CV harvested at three different maturity stages and stored at 4C (85–90% RH) for 35 days after treatment with ascorbic acid (AA) as antioxidants. Chilling injury (CI) was observed initially as a black spot and loss of peel color by end of the storage time pulp color changed into the seed area. In the case of mango, CI begins at 4C. The storage, handling and transport potential of fruits is limited by susceptibility to diseases, and sensitivity to low storage temperatures. To increasing the tolerant of Zibda fruits under cold storage may be achieve by minimizing the oxidative reactions during storage using addition antioxidants such as ascorbic acid (AA) to fruits at different immersing time. Normally, at storage temperature of 4C, CI appeared after 10 days, thereafter developed more rapidly with passing storage period. Using addition antioxidant delays CI up to 25 days. Delaying CI appearance of sensitivity cultivar may be useful for marketing Zibda fruits to long distance.
The effects of hyperbaric oxygen therapy on an experimental cisplatin-induced ototoxicity model

Objectives: This study aims to investigate the protective effect of hyperbaric oxygen therapy (HBOT) as an antioxidant agent on cisplatin ototoxicity. Materials and Methods: Between June 4th, 2014 and June 13th, 2014, a total of 15 adult female Wistar albino rats were used in this study. The rats were divided into the following groups: Group A comprised of five rats and had prophylactic one course of HBOT before intraperitoneal (IP) cisplatin injection, followed by two more courses of HBOT. Group B comprised of five rats receiving three cycles of HBOT after 10 mg/kg of IP cisplatin administration. Group C served as the control group, including five rats, and received 10 mg/kg IP cisplatin without any additional treatment. The distortion product otoacoustic emission amplitudes of the rats were obtained before and after the study. Results: Group A and Group C showed a significant decrease in all measurements (4,004 Hz, 4,761 Hz, 5,188 Hz, 5,652 Hz, 6,726 Hz, and 7,996 Hz) after cisplatin administration compared to that of baseline measurement. In Group B, a significant decrease was observed in the majority of the measurements, although no significant difference was found in 4,761 Hz. Conclusion: Our study results suggest that HBOT neither provides a protective nor therapeutic effect in a rat cisplatin-ototoxicity
Prediction of Recidivism in Thefts and Burglaries Using Machine Learning

Background/objectives: Theft and burglary are two crimes against property that have a great social impact. Their prevention drastically lowers victimization rates and the feeling of insecurity in the population. The objective of this investigation is to obtain an index that allows the prediction of repeat offenses by criminals in these types of crimes, in order to support decision-making with respect to preventative actions. Methodology: In order to obtain the index, a group of machines learning was trained, with information provided by the Criminal Analysis and Investigative Focus System (CAIFS) from the Regional Public Prosecutor’s Office in Biobío, Chile. The information provided was from thefts and burglaries committed between 2012 and 2017 in the city of Concepción. Findings/application: The results show a characterization of repeat offenders in these types of crime and a recurrence index that allows for a greater assertiveness in the prediction of recidivism than the method that is currently being used.