Miracle-dz/UniFAR-FTUs huggingface dataset:
Tensor Decompositions for temporal knowledge base completion

Most algorithms for representation learning and link prediction in relational data have been designed for static data. However, the data they are applied to usually evolves with time, such as friend graphs in social networks or user interactions with items in recommender systems. This is also the case for knowledge bases, which contain facts such as (US, has president, B. Obama, [2009-2017]) that are valid only at certain points in time. For the problem of link prediction under temporal constraints, i.e., answering queries of the form (US, has president, ? , 2012), we propose a solution inspired by the canonical decomposition of tensors of order 4. We introduce new regularization schemes and present an extension of ComplEx that achieves state-of-the-art performance. Additionally, we propose a new dataset for knowledge base completion constructed from Wikidata, larger than previous benchmarks by an order of magnitude, as a new reference for evaluating temporal and non-temporal link prediction methods.
Brain signatures of surprise in EEG and MEG data

The brain is constantly anticipating the future of sensory inputs based on past experiences. When new sensory data is different from predictions shaped by recent trends, neural signals are generated to report this surprise. Existing models for quantifying surprise are based on an ideal observer assumption operating under one of the three definitions of surprise set forth as the Shannon, Bayesian, and Confidence-corrected surprise. In this paper, we analyze both visual and auditory EEG and auditory MEG signals recorded during oddball tasks to examine which temporal components in these signals are sufficient to decode the brain’s surprise based on each of these three definitions. We found that for both recording systems the Shannon surprise is always significantly better decoded than the Bayesian surprise regardless of the sensory modality and the selected temporal features used for decoding. Author summary A regression model is proposed for decoding the level of the brain’s surprise in response to sensory sequences using selected temporal components of recorded EEG and MEG data. Three surprise quantification definitions (Shannon, Bayesian, and Confidence-corrected surprise) are compared in offering decoding power. Four different regimes for selecting temporal samples of EEG and MEG data are used to evaluate which part of the recorded data may contain signatures that represent the brain’s surprise in terms of offering a high decoding power. We found that both the middle and late components of the EEG response offer strong decoding power for surprise while the early components are significantly weaker in decoding surprise. In the MEG response, we found that the middle components have the highest decoding power while the late components offer moderate decoding powers. When using a single temporal sample for decoding surprise, samples of the middle segment possess the highest decoding power. Shannon surprise is always better decoded than the other definitions of surprise for all the four temporal feature selection regimes. Similar superiority for Shannon surprise is observed for the EEG and MEG data across the entire range of temporal sample regimes used in our analysis.
Application of computer vision and neural network analysis to study the structure and dynamics of turbulent jets

In this paper we solved the problem of detecting and detailed analysis of the characteristics of coherent structures in non-swirling and swirling turbulent jets from the 3D PIV experiment and DNS modelling database. To solve the problem intellectual approaches of computer vision based on deep neural networks were applied. It is shown that with the use of a generative competitive neural network, it is possible to reconstruct the structure and dynamics of a turbulent flow with an increased spatial resolution, which is important for analysis and interpretation. The approach is based on a modification of the loss function, which minimizes the residual part of the hydrodynamic equations (the continuity equations and the Poisson equation) for the reconstructed data. It is shown that generative models are more effective in the reconstruction of high moments of turbulent flow than conventional methods POD and DMD. Using a fully convolutional neural network, an automatic segmentation of the turbulent jet flow region and the external environment based on instantaneous velocity and pressure fields was carried out. For a swirling jet, the area of reversed flow is identified. It is shown that the complex of the developed machine learning algorithms successfully copes with the localization of coherent structures, the detection of their trajectory, characteristic size and phase propagation velocity. The obtained new fundamental information is important for a deeper understanding of the role of vortex structures in mixing processes in a jet flow. The developed complex of algorithms for the identification and analysis of characteristics of coherent structures can be applied to a database of measurements and numerical simulation of a wide class of hydrodynamic flows.
Propiedades psicométricas del Inventario de Hábitos de Estudio CASM-85: un estudio multicéntrico con estudiantes de secundaria peruanos

espanolObjetivo: evaluar la estructura interna, invarianza de medida, validez de criterio y confiabilidad del CASM-85 en estudiantes de secundaria peruanos. Materiales y Metodos: se evaluaron 2075 estudiantes de ambos sexos, entre 11 y 18 anos, provenientes de colegios nacionales y particulares de Arequipa, Chimbote, Lima y Pucallpa. Se realizo un analisis de la correlacion item-item e itemresto para cada dimension del CASM-85, un analisis factorial confirmatorio y modelos MIMIC (Multiple Indicator, Multiple Cause) para evaluar la invarianza de medida a traves de grupos segun sexo, edad, colegio y ciudad. La confiabilidad fue estimada mediante los coeficientes Alpha y Omega. La validez de criterio entre el CASM-85 y el rendimiento academico se reviso a traves de la r de Pearson y modelos de regresion. Resultados: se eliminaron items heterogeneos y se obtuvo una forma reducida de 45 items a compararse con su original de 53 items. Para la forma original el CFI y TLI fue EnglishObjective: To assess the internal structure, measurement invariance, criterion validity and reliability of the CASM-85 in Peruvian high school students. Materials and methods: Two thousand seventy-five (2075) students of both sexes, aged 11 to 18 years, from public and private high schools of Arequipa, Chimbote, Lima and Pucallpa were evaluated. An item-item and item-rest correlation analysis for each dimension of the CASM- 85, a confirmatory factorial analysis and MIMIC (Multiple Indicator, Multiple Cause) models were used to evaluate the measurement invariance across the groups according to their sex, age, school and city. Reliability was estimated using alpha and omega coefficients. The criterion validity between the CASM-85 and academic performance was determined using Pearson’s r and regression models. Results: The heterogeneous items were removed, obtaining a 45-item short form compared to the original 53-item form. In the original form, CFI and TLI were portuguesObjetivo: avaliar a estrutura interna, invariância da medida, validade de criterio e confiabilidade do CASM-85 em estudantes do ensino medio peruano. Materiais e Metodos: Foram avaliados 2075 estudantes de ambos os sexos, entre 11 e 18 anos, de escolas nacionais e privadas de Arequipa, Chimbote, Lima e Pucallpa. Foi realizada uma analise do item-item e correlacao entre itens para cada dimensao do CASM-85, uma analise fatorial confirmatoria e modelos MIMIC (Indicador Multiplo, Causa Multipla) para avaliar a invariância da medida nos grupos de acordo com sexo, idade, escola e cidade A confiabilidade foi estimada usando os coeficientes Alpha e Omega. A validade dos criterios entre o CASM-85 e o desempenho academico foi revisada pelos modelos re e regressao de Pearson. Resultados: itens heterogeneos foram eliminados e uma forma reduzida de 45 itens foi obtida para ser comparada com seus 53 itens originais. Para a forma original, o CFI e o TLI foram
Ranking of keyword‐combined searches in relational databases based on relevance to the user query

In this Letter, the authors deal with ranking of keyword-combined searches in relational databases based on relevance to the user query, which they call KEYSIM searches . They formally de ﬁ ne KEYSIM searches and propose a threshold-based method for ef ﬁ ciently processing KEYSIM searches. Their proposed method is the ﬁ rst one to ﬁ nd top-k results considering both numerical similarity and textual similarity. Through the experiments using ﬁ ve real and synthetic data sets, they show the ef ﬁ ciency and scalability of the proposed method.
Probe-based confocal laser endomicroscopy versus biopsies in the diagnostics of oesophageal and gastric lesions: A prospective, pathologist-blinded study

Background and aim Probe-based confocal laser endomicroscopy (pCLE) provides real-time microscopic visualisation. Our aim was to compare the diagnostic accuracy of pCLE with standard biopsies in patients with visible oesophageal or gastric lesions. Methods This was a single-centre, prospective, pathologist-blinded study. Patients underwent high-resolution endoscopy, and lesions were examined by pCLE followed by standard biopsies. A definitive diagnosis was determined from resection specimen. Main outcomes were overall diagnostic accuracy, sensitivity, specificity and positive and negative predictive values. Results We examined 74 lesions in 67 patients. Definitive diagnoses revealed 34 malignant and 40 non-malignant lesions. pCLE diagnosis was correct in 89.2% (66/74), while diagnosis based on biopsy was correct in 85% (57/67; p = 0.6). The overall diagnostic accuracy of biopsies was 85% (76–94%) and that of pCLE was 89% (79–96%). pCLE correctly diagnosed malignant lesions, comprising oesophageal adenocarcinoma, oesophageal squamous-cell cancer or gastric adenocarcinoma, in 88.2% (30/34) of cases, while biopsy was correctly diagnosed in 75.9% (22/29; p = 0.3). Sensitivity and specificity to diagnose a malignant lesion were 75.9% (95% confidence interval (CI) 56–89%) and 100% (95% CI 90–100%) for biopsies and 88.2% (95% CI 72–97%) and 92% (95% CI 79–98%) for pCLE. No differences between biopsies and pCLE were found with regard to sensitivity, specificity to diagnose dysplastic and benign lesions (p > 0.2). Conclusion pCLE provides satisfactory diagnostic accuracy comparable with standard biopsies in patients with oesophageal or gastric lesions. ClinicalTrials.gov identifier: NCT0292049)
Automized data collection process for a personalized online shopping platform

This thesis describes a practical work done for a startup that is building a personalized online shopping platform. The platform fetches products from different retailers and thus the data collection is a crucial part. For it to be effective and prompt, it had to be changed from the original, manual process. The thesis describes how the manual data collection process looked before this practical work and how it was changed to a semi-automated one. The requirements for such change, planning, development and results are discussed in this thesis. The methods used were fetching the products via an API, saving the IDs to the database and fetching filtered products for the user via the API. An overview of the existing research in the field of automatic attribution is given in chapter 2 and after that the thesis goes through the practical work and the conclusion.
Hyperammonemic encephalopathy without hepatic dysfunction due to treatment with valproate: four cases and a mini review

ABSTRACT Divalproex sodium/valproic acid (VPA) is an antiepileptic drug which is frequently prescribed in neurology and psychiatric clinics. Common side effects of VPA are side effects of the digestive system, weight gain, tremor, sedation, hematologic side effects and hair loss. Valproate-induced hyperammonemia is almost seen in 50% of patients treated with VPA, some of which may develop encephalopathy. Valproate-induced hyperammonemic encephalopathy (NE) is a well-known subject and there are numerous publications in the current literature. Although there is substantial evidence for this side effect in patients with neurological disorders, the data in the psychiatric area are limited. When we look at publications, it seems that VHE is seen more often because it starts earlier in psychiatric patients, but we think that it is often missed. Here, we presented five cases in which we followed up and treated with VHE diagnosis in our clinic within one year and other reports published previously in a table.
Hydroxyurea for the Treatment of Psoriasis with an Emphasis on HIV-Infected Psoriasis Patients: A Review

Hydroxyurea is a drug that has been long forgotten for the treatment of psoriasis. In addition to its anti-psoriatic effects, it has also been shown to have antiviral effects. This dual effect makes it a drug that dermatologists may want to consider when treating psoriasis in HIV-infected patients. Currently, no studies are available that discuss the safety and efficacy of hydroxyurea in the treatment of psoriasis in this immunocompromised group; however, numerous reports discuss the safety and efficacy of hydroxyurea in psoriasis and HIV separately. This review suggests that hydroxyurea is generally safe and effective. The main risk involves the hematologic adverse events (anemia, leukopenia, thrombocytopenia, and macrocytosis), which appear to be dose dependent. Because of the common hematologic adverse events, hydroxyurea may be considered a viable therapeutic option for patients with generalized psoriasis that is inadequately responsive to other safer options, whether or not the patient is HIV positive.
Control of a Scaled Vehicle in and Beyond Stable Limit Handling

In this research a controller is developed that can control path-tracking both within and beyond stable limit handling. The controller is based on the equations of motion of the nonlinear bicycle model. The performance of the controller is evaluated in simulation, a sensitivity analysis is performed and the controller is implemented on a 1/10 scale radio controlled car. The controller is able to track a path in normal driving conditions and let the vehicle enter and maintain a drift while remaining close to the desired path.
Key Informants' Perspectives: Management Commitment, Training, and Worker Participation in the Prevention of Musculoskeletal Disorders

OCCUPATIONAL APPLICATIONS To implement effective musculoskeletal disorder (MSD) prevention programs in organizations, there needs to be commitment from top and middle management, ongoing worker participation, and effective training and education. This study addresses practical solutions for the successful execution of these elements with businesses and organizations in mind. The specific structures, concerns, and unique operating environments of organizations are considered to put together practical advice by experts in the field. Conclusions of the study reveal best practices, essential components, and ideas to improve and employ these elements to improve current MSD prevention strategies in the workplace. TECHNICAL ABSTRACT Background: Prevention of MSD in the workplace presents many challenges. There are high costs to the organization, worker, and society associated with these occupational injuries. Therefore, it is important to identify which methods and approaches companies should use to successfully tackle this issue. Purpose: This study sought to determine which elements—in relation to management commitment, worker participation, and training—are effective for successful MSD prevention. Methods: Twenty-three key informants, including consultants, managers, researchers, union representatives, and policy makers, all experienced in health and safety and MSD prevention, were consulted using a structured interview format. Data were analyzed based on a thematic analysis approach. Results: Information was gathered for the definition of management commitment, its importance, methods for improvement, and examples of good practices to achieve management support. Key informants also discussed the importance of worker participation for effective MSD prevention, success stories, and how to encourage effective and sustainable participation. Lastly, informants shared insights into optimal training programs, methods, and contents. Results of the interviews with key informants revealed that crucial aspects of effective MSD prevention programs are training and education of managers and workers on MSD prevention, commitment from top and middle management, and worker participation in the early stages on plans and interventions. It was emphasized that a common, consistent language needs to be used throughout any programs, research, training, and organization-wide initiatives. Promoting the business case for MSD prevention was also recommended to gain management buy-in. Conclusions: Results of this study suggest that integrating MSD prevention activities into key elements of a broader management framework can positively and effectively influence the success of MSD prevention initiatives.
Reliability analysis for stress-strength model from a general family of truncated distributions under censored data

Abstract Under progressive Type-II censoring, inference of stress-strength reliability (SSR) is studied for a general family of lower truncated distributions. When the lifetime models of the strength and stress variables have arbitrary and common parameters, maximum likelihood and pivotal quantities based generalized estimators of SSR are established, respectively. Confidence intervals are constructed based on generalized pivotal quantities and bootstrap technique under different parameter cases as well. In addition, to compare the equivalence of the strength and stress parameters, likelihood ratio testing of interested parameters is provided as a complementary. Simulation studies and two real-life data examples are provided to investigate the performance of proposed methods.
Property Prices: How Effective is a Property-Purchasing Limitation Policy for Managing Affordability?

In recent years, China has uniquely implemented various policies to control housing prices, particularly its property-purchasing limitation policy. This research proposes a vector autoregression (VAR) model with likelihood-ratio (LR) tests to examine the effects of such a policy on housing prices at the national, provincial and city levels in China, with the use of monthly data from 2002 to 2013. The results show that at the national level, the effect of the policy is very significant, and the impact on housing prices is far greater than monetary and credit policies. However, the policy is not applicable at the provincial level. The policy has a significant role at the city level in first-tier cities, but no significant effect in second-tier cities. Overall, property-purchasing limitations inhibit the growth of housing prices to some extent, and the effects show strong regional characteristics, especially at the city level. Policymakers should therefore take into account regional characteristics in the formulation and implementation of a property-purchasing limitation policy.
Reliability and validity of the Turkish version of short form 36 (SF-36) in patients with rheumatoid arthritis

Amac: Romatoid artritte Turkce SF-36’nin guvenilirlik ve gecerliligini arastirmak. Yontemler: Calismaya alinan Romatoid artritli hastalarin demografik ozellikleri kayit edildi. Saglik degerlendirme anketi (HAQ) ve SF-36 formlari dolduruldu. Hastalik aktiviteleri DAS-28 kullanilarak hesaplandi. Hastalar 3 ay sonra tekrar cagirilarak kendilerini ilk gelislerine gore nasil hissettikleri soruldu ve ilk gelislerinde yapilan testler tekrarlandi. Bulgular: Calismadaki 141 hastanin %9,9’u erkek; %90,1’i kadindir. SF-36’nin guvenilirlik calismasinda olcek alt boyutlarinin Cronbach alfa degerleri 0,792-0,992 arasinda degismekte olup, bunun sonucunda SF-36 yuksek duzeyde guvenilir bulunmustur. Madde-toplam puan korelasyon katsayilari da her bir alt olcek icin ayri ayri hesaplanmistir. Fiziksel fonksiyonda 0,436-0,840, fiziksel rol guclugunde 0,887-0,895; agrida 0,861-0,958, sagligin genel olarak algilanmasinda 0,564-0,892; vitalite (enerji)’de 0,702-0,841; sosyal fonksiyonda 0,949-0,952; emosyonel rol kisitlamasinda 0,396-0,473 ve mental saglikta 0,456-0,824 arasinda bulunmustur. Daha sonra her iki SF-36 olcumu karsilastirilmis ve p>0,05 oldugu icin ikinci olcumlerde ilk olcumlere gore bir farklilik saptanmamistir. SF 36 gecerlilik calismasi, beyana dayali durumlari ikinci gelislerinde ilkine gore degismeyen 63 olgu uzerinde yapilmis olup; test tekrar test arasindaki korelasyon, intra-class korelasyon katsayilari ile degerlendirildiginde her iki uygulama arasinda istatistiksel olarak anlamli iliski gorulmektedir. Bu calismada korelasyon katsayilari 0,51 ile 0,78 arasinda degismektedir. SF-36 puanlarinin ilk ve ikinci olcumleri arasinda istatistiksel olarak anlamli farklilik gorulmemektedir (p>0,05). Sonuc: Sonuc olarak Turkce SF-36 Romatoid artritli hastalarda guvenilir ve gecerli bulunmustur.
Projection properties of constrained nonparametric instrumental variable estimators

ABSTRACT I show that a broad class of constrained nonparametric instrumental variable estimators are projections of the corresponding unconstrained estimators on the constrained set with respect to some norm. In addition, for estimators based on Tikhonov regularization, constrained estimation can be viewed as two-step projection: first project the data on the unconstrained set, and then project this projection on the constrained set. As an application, I use the projection property to establish sufficient conditions for the consistency of a sieve-based and a kernel-based constrained estimator.
Comparaison de modèles semi-supervisés pour la reconnaissance d'images histologiques

L’etude d’images histologiques est une tâche particulierement importante pour le diagnostic du cancer du sein. Cette tâche complexe et fastidieuse pourrait etre assistee par l’utilisation de reseaux d’apprentissage profond. En effet, ces reseaux profonds forment l’etat de l’art dans la reconnaissance visuelle, notamment sur les bases d’images histologiques. Cependant, ce type de modele necessite une grande quantite d’images annotees, qui ne sont pas toujours accessibles en histologie. Ces travaux se sont attaches a evaluer l’impact de l’utilisation de donnees sans annotations sur les performances des modeles competitifs actuels. Ce projet vise a etudier le comportement des techniques semi-supervisees Ladder Network, Virtual Adversarial Training, Mean Teacher et Deep Co-training aux variations des donnees annotees et non annotees. Ces techniques ont ete evaluees sur la base BACH et la base TUPAC, composees d’images histologiques pour lutter contre le cancer du sein. Les resultats obtenus montrent que l’apport des donnees non annotees est particulierement interessant lorsque l’on possede une faible quantite de donnees annotees. De plus, l’ordre de performances des differentes approches depend de la base de donnees utilisee. Puis, differentes configurations avec l’approche Deep Co-training ont ete etudiees, cette approche etant l’une des techniques les plus competitives dans ce domaine. Les essais ont montre que l’ajout de modeles supplementaires permet d’obtenir de meilleures performances bien qu’il faille faire attention aux problemes de corruption. Augmenter la diversite des modeles permet, jusqu’a une certaine limite, d’ameliorer les performances obtenues. Enfin, des donnees supplementaires generees par l’approche BadGan ont ete utilisees. Cette derniere approche permet d’ajouter une fonction de cout supplementaire qui se trouve etre benefique, dans le cas etudie, au prix de l’augmentation de la complexite.