Miracle-dz/UniFAR-FTUs huggingface dataset:
Winged Migration (2001) Sony Picture Classics

Winged Migration (2001) is a visually stunning “documentary-adventure” that follows several communities of birds on their seasonal migratory journeys. Although the migrations are set to music and the flapping of the birds’ wings can be heard in many scenes, the film is primarily a visual experience. There is very little narration in Winged Migration, which for the most part is shot from the perspective of the migrating birds. Several species of birds were filmed, including geese, pelicans, ducks, storks, cranes, kingfishers, and penguins. Filmed over the course of four years on all seven continents, the cameras of the filmmakers fly with the birds, a technique which affords the viewer a rare intimate glimpse of migratory birds in flight. In contrast to the customary view from our vantage point on the ground – the familiar distant “V” shape – this film delivers an incredibly detailed look at the birds as they fly. The viewer is brought so close to the birds that we can see not only their faces but also their eyes as they soar hundreds and thousands of feet above the earth, and the filmmaking technique allows us to feel as if we are flying right along with them. The cameras dive and swoop with the birds, at times behind them, at times right next to them, but always closer than most non-ethologists (or zookeepers) could ever imagine being to these birds. And even ethologists and zookeepers would not be able to accompany the birds on their flights, as this film allows the viewer to do.
Evolución demográfica de la Comunidad Autónoma del País Vasco: Impacto del envejecimiento (Demographic evolution of the Autonomous Community of the Basque Country: The impact of aging)

La reciente evolucion de la poblacion vasca refleja cambios sin precedentes: drastica caida dela fecundidad, saldos migratorios negativos, maximos historicos en la expectativa de vida y rapidoenvejecimiento. En este contexto, lo cuestionable es la calidad de los anos ganados. Aunque el pre-ceso de envejecimiento humano es diverso y variable, la evolucion de la esperanza de vida en bue-na salud de la CAE es positiva.Palabras Clave: Envejecimiento demografico. Esperanza de vida en buena salud. Estatus fun-cional. Salud percibida. Incapacidad.Euskal biztanleriaren oraintsuko eboluzioak aurrekaririk gabeko aldaketak erakusten ditu: ugal-kortasunaren jaitsiera gogorra, migrazio saldo negatiboak, inoizko bizi itxaropen handienak etazahartze azkarra. Testuinguru honetan, irabazitako urteen kalitatea eztabaidagarria gertatzen da.Gizakien zahartze prozesua askotarikoa eta aldakorra bada ere, osasun onean bizi izateko itxarope-naren eboluzioa positiboa da EAEn.Giltza-Hitzak: Zahartze demografikoa. Osasun onean bizi izateko itxaropena. Estatus funtziona-la. Hautemandako osasuna. Ezintasuna.L’evolution recente de la population basque reflete des changements sans precedents: chuteradicale de la fecondite, bilans migratoires negatifs, maximums historiques dans lesperance de vieet vieillissement rapide. Dans ce contexte, la qualite des annees gagnees est discutable. Bien que leprocessus de vieillissement humain soit divers et variable, levolution de lesperance de vie en bon-ne sante de la CAE est positive.Mots Cles: Vieillissement demographique. Esperance de vie en bonne sante. Statut fonctionnel.Sante percue. Incapacite.
The Effects of the Core Muscle Release Technique on Scoliosis

[Purpose] The object of this study was to examine the effects of the core muscle release technique (CRT) on correcting scoliosis. [Subjects] Ninety patients diagnosed with scoliosis participated in this study. [Meth-ods] First, participants were divided into three groups according to method of treatment. The first group was ad ministered 50 minutes of CRT five times a week for two weeks. The second group performed general exercise to treat scoliosis for the same duration. The third group received electrotherapy in 50-minute sessions, five times a week for two weeks. The CRT began with release treatment of the diaphragm, and then focused on control of para spinal muscle tone. Respiratory therapy was also conducted during these treatments. Directly after their two-week treatment, the patients were re-examined, and another follow-up test was performed two weeks after treatment had finished. [Results] The data suggest that CRT, exercise and electrotherapy all helped to decrease the Cobb angle. Of these treatment methods, however, CRT was the most effective for the treatment of scoliosis. [Conclusion] CRT was effective in the correction of scoliosis.
Artificial neural networks for early breast carcinoma detection

This paper shows a model designed for an efficient detection of patients with breast carcinoma (BC), using an artificial neural network (NN). A multilayer NN is used as a convenient modeling tool for the identification of a chosen set of risk factors and symptoms which characterizes the patients suffering from BC. We used a properly selected representative learning set of patterns referring to 60 patients for the BC identification process (the NN learning task). The other set of patterns referring to 140 patients was used as a test set for verification of the proposed model. The instructed NN successfully identified 198 test patterns, which means that identification accuracy was greater than 98%. Previously set hypothesis, which claimed that hyperspace of weight matrix enables an efficient separation of healthy group of patients from group suffering from BC, proved to be correct. Expert knowledge was used for proper selection of corresponding sets of risk factors and symptoms on one side and for selection of a representative set of learning patterns on the other side.
Mining Relations from Git Repositories- Applying Relation Extraction Technology to Git Commit Messages

Text data can contain valuable information that is unavailable at a larger scale due to the unstructured nature of free text. Git repositories and Git commit messages within them are one such category of unstructured text data. Relation Extraction (RE) has enjoyed success as a solution to similar problems for a more generic case but also for more specialized domains such as life sciences. RE does however, remain largely untested for text data from Git repositories. This thesis contributes to RE and Software Engineering research by testing RE solutions developed for the generic problem on the domain speci c problem of Git commit messages. An experiment is conducted where a custommade relation extractor is tested on hand annotated Git commit messages drawn from popular public projects on GitHub. The results show that common RE solutions and their models cannot be directly applied to data from Git commit messages due to a very domain spec c language in which these messages are expressed. This prompts for future e orts into developing domain speci c tools and models.
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series

The rising capabilities of storing and registering data has increased the number of temporal datasets, boosting the attention on time series classification and forecasting. In case of multivariate time series, symbolic methods that try to predict phenomena transform the data into a more compact format to produce a representation of the time series easy to be handled in a machine learning framework. However, up to now these representations do not grasp information on both inter-attribute variability and temporal variability. In this work we present an approach that, taking into account the relationships between attributes and their periodicity, reduces the multivariate time series to a collection of symbols, whose distribution is represented by histograms. The approach has been successfully tested on a publicly available dataset, the Telecom Italia Big Data Challenge 2014 dataset, reporting also the results attained by other methods available in the literature.
Efficient Semantic Keyword Search and Dynamic Update over Encrypted Cloud Data

— The cloud computing paradigm motivates many of the data owners to store their confidential data in cloud for greater sharing and storage services. The risk of storing confidential data in the public cloud forced the data owners to store data in encrypted form. Thus, the search over encrypted data is of predominant importance to provide maximum data utilization for encrypted cloud data. The privacy of that data is controlled by the cloud service provider which demands for strict data privacy protection. The traditional privacy-preserving Multi-keyword Ranked Search over Encrypted Cloud data (MRSE) schemes involves much overhead in terms of storage and search time. The proposed system solve the problem of MRSE with less computational and storage overhead. Also facilitates dynamic update of the encrypted data and privacy of the data is also maintained. The system also includes a semantic search facility can improve the search experience by utilizing the NLP library. Thorough analysis investigating the efficiency of the scheme is given which guarantees that there is less overhead involved compared to the previous MRSE schemes.
Combining data mining and human expertise for making decisions, sense and policies

A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision and policy makers. In a developing country such as South Africa, with a well‐developed business sector, this need, especially in government, is even more crucial. South Africa has to face many new challenges in the 21st century ‐ growing environmental concerns, massive social and economic inequalities, high occurrences of HIV, low productivity, massive unemployment and the nation’s evolving role in Africa, amongst others. The importance of a sound science and technology policy framework to address these pressing issues cannot be overemphasised This paper discusses the construction of a knowledge‐base from a data repository concerning a South African National Research and Technology (NRT) Audit. This knowledge‐base is to be used as an aid when developing a science and technology policy framework for South Africa. The knowledge‐base is constructed using the cooperative .
Mediacin emocional en sistemas de Comunicacin Aumentativa y Alternativa

Muchas personas que carecen de la capacidad de hablar debido a diversos tipos de discapacidades motoras y del lenguajeutilizan dispositivos informaticos de ayuda a la comunicacion. Estos dispositivos aportan un medio de comunicacionalternativa muy util pero, en la mayoria de los casos, lento y carente de expresividad. En los ultimos anos se ha dedicadoun gran esfuerzo a la mejora de la velocidad de comunicacion mediante diversos metodos, tales como la prediccion depalabras o el diseno de dispositivos de entrada adaptables, obteniendose mejoras interesantes. Sin embargo, el problema dela falta de expresividad en la comunicacion no ha sido suficientemente estudiado. El reciente auge de la
Advances in therapeutic options for esophageal and esophagogastric junctional adenocarcinoma

ABSTRACT Introduction: The shifting location of esophageal cancers from proximal to distal and gastric cancers from distal to proximal has resulted in a marked increase in the incidence of esophageal adenocarcinoma (EAC) which also involves tumors localized at esophagogastric junction (EGJ). The trend of increased incidence of EAC has paralleled the upward trend in rates of obesity, gastroesophageal reflux disease (GERD), and the Barrett’s esophagus (BE). Despite the numerous identified targets, the survival rates of EACs has not changed much. Understanding the molecular biology in depth will help to achieve new and more effective therapeutic options and also may help to identify premalignant lesions before conversion to cancer. Areas covered: In this review, we aimed to describe the advances in the therapeutic options for potentially resectable and unresectable EAC. A literature research was performed using PubMed, American Society of Clinical Oncology, European Society for Medical Oncology, and ClinicalTrials.gov websites. Expert opinion: Adequate resection with adjunctive therapies is the backbone component of resectable EAC. Palliative chemotherapy with best supportive care remains as the standard of care for advanced stage disease. Understanding the molecular biology of EAC and its precursor BE will help to convert phenotypic treatment to the more promising genotypic treatment.
MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing

Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (e.g., area, latency, and power) design for a given quality constraint and vice versa. Recently, self-healing methodologies for approximate computing have emerged that showed an effective quality-efficiency trade-off as compared to the conventional error-restricted approximate computing methodologies. However, the state-of-the-art self-healing methodologies are constrained to highly parallel implementations with similar modules (or parts of a datapath) in multiples of two and for square-accumulate functions through the pairing of mirror versions to achieve error cancellation. In this paper, we propose a novel methodology for an internal-self-healing (ISH) that allows exploiting self-healing within a computing element internally without requiring a paired, parallel module, which extends the applicability to irregular/asymmetric datapaths while relieving the restriction of multiples of two for modules in a given datapath, as well as going beyond square functions. We employ our ISH methodology to design an approximate multiply-accumulate (xMAC), wherein the multiplier is regarded as an approximation stage and the accumulator as a healing stage. We propose to approximate a recursive multiplier in such a way that a near-to-zero average error is achieved for a given input distribution to cancel out the error at an accurate accumulation stage. To increase the efficacy of such a multiplier, we propose a novel $2\times 2$ approximate multiplier design that alleviates the overflow problem within an $n\times n$ approximate recursive multiplier. The proposed ISH methodology shows a more effective quality-efficiency trade-off for an xMAC as compared with the conventional error-restricted methodologies for random inputs and for radio-astronomy calibration processing (up to 55% better quality output for equivalent-efficiency designs).
Developments in vocabulary standardisation for robots and robotic devices

With the emergence of mobile robots, including service robots for use in public, domestic and industrial environments, a more comprehensive standard to cover the new robots and associated technologies is needed. New scopes of the robots applications involve almost in every case an autonomous system that can potentially cause harm to the environment, including people or malfunction and fail the mission completely. ISO has developed a set of standards supporting aspects of robot design such as performance measurement, safety assurance, user interfaces and similar for industrial robots manipulators. Evolving robot applications require the standards to be revised to incorporate requirements for new robotic domains. This prompted a group of international robotics experts in 2007 to initiate a development of new terms and regulations and modify the current robotics standard, ISO 8373, to include terms that are applicable to the new generation of robots. This paper provides an outline of the progress of the working group and the associated challenges in updating the international robotics vocabulary standard.
Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research

Background The growing interest in observational trials using patient data from electronic medical records poses challenges to both efficiency and quality of clinical data collection and management. Even with the help of electronic data capture systems and electronic case report forms (eCRFs), the manual data entry process followed by chart review is still time consuming. Objective To facilitate the data entry process, we developed a natural language processing–driven medical information extraction system (NLP-MIES) based on the i2b2 reference standard. We aimed to evaluate whether the NLP-MIES–based eCRF application could improve the accuracy and efficiency of the data entry process. Methods We conducted a randomized and controlled field experiment, and 24 eligible participants were recruited (12 for the manual group and 12 for NLP-MIES–supported group). We simulated the real-world eCRF completion process using our system and compared the performance of data entry on two research topics, pediatric congenital heart disease and pneumonia. Results For the congenital heart disease condition, the NLP-MIES–supported group increased accuracy by 15% (95% CI 4%-120%, P=.03) and reduced elapsed time by 33% (95% CI 22%-42%, P<.001) compared with the manual group. For the pneumonia condition, the NLP-MIES–supported group increased accuracy by 18% (95% CI 6%-32%, P=.008) and reduced elapsed time by 31% (95% CI 19%-41%, P<.001). Conclusions Our system could improve both the accuracy and efficiency of the data entry process.
Building French Sign Language Motion Capture Corpora for Signing Avatars

This paper describes four corpora that have been designed and built in our research team. These corpora have been recorded using motion capture (MoCap) and video equipment, and annotated according to multi-tiers linguistic templates. Each corpus has been designed for a specific linguistic purpose and is dedicated to data-driven synthesis, by (i) replacing signs or groups of signs within an utterance, (ii) replacing phonetic or phonological components and in this way modifying the grammatical or semantic aspects of the phrase, or (iii) altering prosody in the produced sign language utterances.
A High PD-L1 Expression in Pulmonary Pleomorphic Carcinoma Correlates with Parietal-pleural Invasion and Might Predict a Poor Prognosis

Objective Pleomorphic carcinoma (PC) is a rare pulmonary epithelial malignant tumor with a poor prognosis. The objective of the present study was to investigate the programmed death-ligand 1 (PD-L1) expression in PC and its correlation between the clinicopathological factors and prognosis. Methods Clinical and pathological data of 35 patients with surgically resected PC encountered from 2002 to 2016 at our institution were collected. The PD-L1 expression on tumor cells was evaluated via immunohistochemistry (clone 22C3). We examined the correlation between the PD-L1 expression and patients' clinicopathological factors and their prognosis. Results A high PD-L1 expression (≥50%) was seen in 21 (60%) patients, and parietal-pleural invasion was significantly correlated with a high PD-L1 expression (p=0.012). The 5-year overall survival and relapse-free survival were 68.2% and 43.2%, respectively. Tumor size ≥50 mm (p=0.021), lymph node metastasis (p=0.023), and a high PD-L1 expression (p=0.047) were correlated with a short relapse-free survival. Since lymph node metastasis was an independent risk factor of a poor overall survival (p=0.012), patients with a high PD-L1 expression also tended to have a worse overall survival than those with low levels (p=0.081). Conclusion A high PD-L1 expression is frequently seen in PC. The PD-L1 expression is associated with parietal-pleural invasion and might indicate a poor prognosis.
Teachers' curriculum development experiences of the transition from mother tongue to English as a medium of instruction : a case study of three primary schools in Lesotho.

In the Lesotho primary education system, the language policy states that the mother tongue (Sesotho) should be used up to Standard Three (this is the third year of schooling in Lesotho) as the medium of instruction. English is prescribed as the medium of instruction from Standard Four upwards. This sudden change presents enormous challenges for teachers, especially in Standard Four. The purpose of my study was to investigate Standard Four teachers’ curriculum development experiences of the transition from the mother tongue to English as medium of instruction. The study also sought to understand how teachers plan and teach at this level. This was a qualitative interpretive study that adopted a case study methodology. Participants were purposively selected. They were three Sesotho-speaking Standard Four teachers in three different urban schools. In addressing the research questions, data was generated through qualitative methods such as semi-structured teachers’ interviews, classroom observations, document analysis and a personal reflective journal. Data was analyzed and interpreted through an open coding process. The findings revealed that these teachers experienced several challenges in the use of English as the medium of instruction. Teachers were faced with three key issues that they had to deal with, namely, overcoming their own perceptions of their competence in English, their low sense of self efficacy with regard to teaching at this transition class, and the difficulty with teaching pupils in a second language before these pupils had gained proficiency in their mother tongue. Teachers regularly employed codeswitching as a strategy to make meaning in their classrooms. The study recommends preand in-service teacher professional development, and a review of the Lesotho language policy in the primary school.
Corneal epithelial disruption with extremely thin hydrogel lenses

Recent reports indicate that acute and chronic adverse effects of extended wear contact lenses may be overcome with lenses of higher oxygen transmissibility. For hydrogel lenses, higher water content and thinner lenses have been proposed. Several studies have shown corneal epithelial disturbance with thin high water hydrogel lenses. In this study hydrogel lenses of 38, 55, 65 and 75% water were tested in a ‐3.00 D monocurve lens design and in a parallel lens design. Center thicknesses were the thinnest yet reported, ranging from 0.022 to 0.036 mm. Subjects stayed in a low humidity (25–35%) environment for a 6 hour testing period. With regard to epithelial disturbance, the results show a trend that the higher the water content the earlier the onset, the greater the maximum level and the greater percentage subjects that exhibited the epithelial disruption. The ‐3.00 D lenses produced more epithelial disturbance than the parallel designs. The location of the disturbed epithelium was central for the ‐ 3.00 D lenses and along the lid margins for the parallel lenses. Between onset and termination of the study at six hours, the severity of epithelial disturbance waxed and waned. These results do not concur with the current understanding of the mechanism of epithelial disturbance with thin high water hydrogel lenses and suggest the need for further evaluations.