4,570 results on '"Niculae, A."'
Search Results
2. Gait Recognition from Highly Compressed Videos
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Niculae, Andrei, Catruna, Andy, Cosma, Adrian, Rosner, Daniel, and Radoi, Emilian
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Surveillance footage represents a valuable resource and opportunities for conducting gait analysis. However, the typical low quality and high noise levels in such footage can severely impact the accuracy of pose estimation algorithms, which are foundational for reliable gait analysis. Existing literature suggests a direct correlation between the efficacy of pose estimation and the subsequent gait analysis results. A common mitigation strategy involves fine-tuning pose estimation models on noisy data to improve robustness. However, this approach may degrade the downstream model's performance on the original high-quality data, leading to a trade-off that is undesirable in practice. We propose a processing pipeline that incorporates a task-targeted artifact correction model specifically designed to pre-process and enhance surveillance footage before pose estimation. Our artifact correction model is optimized to work alongside a state-of-the-art pose estimation network, HRNet, without requiring repeated fine-tuning of the pose estimation model. Furthermore, we propose a simple and robust method for obtaining low quality videos that are annotated with poses in an automatic manner with the purpose of training the artifact correction model. We systematically evaluate the performance of our artifact correction model against a range of noisy surveillance data and demonstrate that our approach not only achieves improved pose estimation on low-quality surveillance footage, but also preserves the integrity of the pose estimation on high resolution footage. Our experiments show a clear enhancement in gait analysis performance, supporting the viability of the proposed method as a superior alternative to direct fine-tuning strategies. Our contributions pave the way for more reliable gait analysis using surveillance data in real-world applications, regardless of data quality., Comment: Accepted at 2nd Workshop on Learning with Few or without Annotated Face, Body and Gesture Data
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- 2024
3. Sparse and Structured Hopfield Networks
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Santos, Saul, Niculae, Vlad, McNamee, Daniel, and Martins, Andre F. T.
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Computer Science - Machine Learning - Abstract
Modern Hopfield networks have enjoyed recent interest due to their connection to attention in transformers. Our paper provides a unified framework for sparse Hopfield networks by establishing a link with Fenchel-Young losses. The result is a new family of Hopfield-Fenchel-Young energies whose update rules are end-to-end differentiable sparse transformations. We reveal a connection between loss margins, sparsity, and exact memory retrieval. We further extend this framework to structured Hopfield networks via the SparseMAP transformation, which can retrieve pattern associations instead of a single pattern. Experiments on multiple instance learning and text rationalization demonstrate the usefulness of our approach., Comment: 20 pages, 4 figures
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- 2024
4. On Measuring Context Utilization in Document-Level MT Systems
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Mohammed, Wafaa and Niculae, Vlad
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Computer Science - Computation and Language - Abstract
Document-level translation models are usually evaluated using general metrics such as BLEU, which are not informative about the benefits of context. Current work on context-aware evaluation, such as contrastive methods, only measure translation accuracy on words that need context for disambiguation. Such measures cannot reveal whether the translation model uses the correct supporting context. We propose to complement accuracy-based evaluation with measures of context utilization. We find that perturbation-based analysis (comparing models' performance when provided with correct versus random context) is an effective measure of overall context utilization. For a finer-grained phenomenon-specific evaluation, we propose to measure how much the supporting context contributes to handling context-dependent discourse phenomena. We show that automatically-annotated supporting context gives similar conclusions to human-annotated context and can be used as alternative for cases where human annotations are not available. Finally, we highlight the importance of using discourse-rich datasets when assessing context utilization.
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- 2024
5. Assessment of chromatography separation parameters in the quality control of copper-64-labeled neurotensin-like peptides
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Tudoroiu-Cornoiu, Maria-Roxana, Chilug, Elena Livia, Cocioabă, Diana, Băruţă, Simona, Şerban, Radu, Ion, Alina Catrinel, and Niculae, Dana
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- 2024
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6. Pediatric cirrhotic cardiomyopathy: literature review and effect size estimations of selected parameters
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Niculae, Alexandru-Ștefan, Căinap, Simona Sorana, Grama, Alina, and Pop, Tudor Lucian
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- 2024
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7. The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation
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Tokarchuk, Evgeniia and Niculae, Vlad
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Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
Continuous-output neural machine translation (CoNMT) replaces the discrete next-word prediction problem with an embedding prediction. The semantic structure of the target embedding space (i.e., closeness of related words) is intuitively believed to be crucial. We challenge this assumption and show that completely random output embeddings can outperform laboriously pretrained ones, especially on larger datasets. Further investigation shows this surprising effect is strongest for rare words, due to the geometry of their embeddings. We shed further light on this finding by designing a mixed strategy that combines random and pre-trained embeddings for different tokens.
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- 2023
8. Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
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Araabi, Ali, Niculae, Vlad, and Monz, Christof
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Computer Science - Computation and Language ,68T50 ,I.2.7 - Abstract
Despite the tremendous success of Neural Machine Translation (NMT), its performance on low-resource language pairs still remains subpar, partly due to the limited ability to handle previously unseen inputs, i.e., generalization. In this paper, we propose a method called Joint Dropout, that addresses the challenge of low-resource neural machine translation by substituting phrases with variables, resulting in significant enhancement of compositionality, which is a key aspect of generalization. We observe a substantial improvement in translation quality for language pairs with minimal resources, as seen in BLEU and Direct Assessment scores. Furthermore, we conduct an error analysis, and find Joint Dropout to also enhance generalizability of low-resource NMT in terms of robustness and adaptability across different domains, Comment: Accepted at MT Summit 2023
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- 2023
9. Two derivations of Principal Component Analysis on datasets of distributions
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Niculae, Vlad
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
In this brief note, we formulate Principal Component Analysis (PCA) over datasets consisting not of points but of distributions, characterized by their location and covariance. Just like the usual PCA on points can be equivalently derived via a variance-maximization principle and via a minimization of reconstruction error, we derive a closed-form solution for distributional PCA from both of these perspectives., Comment: 4 pages, 1 figure
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- 2023
10. Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
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Stap, David, Niculae, Vlad, and Monz, Christof
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Computer Science - Computation and Language - Abstract
We argue that translation quality alone is not a sufficient metric for measuring knowledge transfer in multilingual neural machine translation. To support this claim, we introduce Representational Transfer Potential (RTP), which measures representational similarities between languages. We show that RTP can measure both positive and negative transfer (interference), and find that RTP is strongly correlated with changes in translation quality, indicating that transfer does occur. Furthermore, we investigate data and language characteristics that are relevant for transfer, and find that multi-parallel overlap is an important yet under-explored feature. Based on this, we develop a novel training scheme, which uses an auxiliary similarity loss that encourages representations to be more invariant across languages by taking advantage of multi-parallel data. We show that our method yields increased translation quality for low- and mid-resource languages across multiple data and model setups., Comment: Accepted to EMNLP 2023 Findings
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- 2023
11. Danube Delta Bird Sound Recognition.
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Svetlana Segarceanu, Maria Niculae, and Theodor Pintilie
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- 2024
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12. Gait Recognition from Highly Compressed Videos.
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Andrei Niculae, Andy Catruna, Adrian Cosma, Daniel Rosner, and Emilian Radoi
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- 2024
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13. On Measuring Context Utilization in Document-Level MT Systems.
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Wafaa Mohammed and Vlad Niculae
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- 2024
14. Multimodal Security Mechanisms for Critical Time Systems using blockchain in Chriss project.
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Mari-Anais Sachian, George Suciu, Maria Niculae, Adrian Paun, Petrica Ciotirnae, Ivan Horatiu, Cristina Tudor, and Robert Florescu
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- 2024
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15. Monitoring and Optimizing the Database Performance
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Căuniac, Diana Andreea, Niculae, Andreea Mihaela, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Ciurea, Cristian, editor, Pocatilu, Paul, editor, and Filip, Florin Gheorghe, editor
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- 2024
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16. DAG Learning on the Permutahedron
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Zantedeschi, Valentina, Franceschi, Luca, Kaddour, Jean, Kusner, Matt J., and Niculae, Vlad
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Statistics - Machine Learning - Abstract
We propose a continuous optimization framework for discovering a latent directed acyclic graph (DAG) from observational data. Our approach optimizes over the polytope of permutation vectors, the so-called Permutahedron, to learn a topological ordering. Edges can be optimized jointly, or learned conditional on the ordering via a non-differentiable subroutine. Compared to existing continuous optimization approaches our formulation has a number of advantages including: 1. validity: optimizes over exact DAGs as opposed to other relaxations optimizing approximate DAGs; 2. modularity: accommodates any edge-optimization procedure, edge structural parameterization, and optimization loss; 3. end-to-end: either alternately iterates between node-ordering and edge-optimization, or optimizes them jointly. We demonstrate, on real-world data problems in protein-signaling and transcriptional network discovery, that our approach lies on the Pareto frontier of two key metrics, the SID and SHD., Comment: The Eleventh International Conference on Learning Representations
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- 2023
17. Discrete Latent Structure in Neural Networks
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Niculae, Vlad, Corro, Caio F., Nangia, Nikita, Mihaylova, Tsvetomila, and Martins, André F. T.
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Computer Science - Machine Learning ,Statistics - Machine Learning ,I.2.6 - Abstract
Many types of data from fields including natural language processing, computer vision, and bioinformatics, are well represented by discrete, compositional structures such as trees, sequences, or matchings. Latent structure models are a powerful tool for learning to extract such representations, offering a way to incorporate structural bias, discover insight about the data, and interpret decisions. However, effective training is challenging, as neural networks are typically designed for continuous computation. This text explores three broad strategies for learning with discrete latent structure: continuous relaxation, surrogate gradients, and probabilistic estimation. Our presentation relies on consistent notations for a wide range of models. As such, we reveal many new connections between latent structure learning strategies, showing how most consist of the same small set of fundamental building blocks, but use them differently, leading to substantially different applicability and properties.
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- 2023
18. Serum levels of neurofilament light chains in pediatric multiple sclerosis: a systematic review and meta-analysis
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Niculae, Alexandru-Ştefan, Niculae, Lucia-Elena, Văcăraş, Cristiana, and Văcăraş, Vitalie
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- 2023
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19. ASPECTS REGARDING OF OIL SLUDGE CLEANING FROM CRUDE STORAGE TANKS USING ROBOTS
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Valentin-Paul TUDORACH and Niculae-Napoleon ANTONESCU
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oil sludge ,tank ,manual cleaning ,mechanized cleaning ,automated cleaning ,robotic cleaning ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
One of the problems of the oil industry is the accumulation of sludge at the bottom of crude oil storage tanks. Oil sludge obtained from crude oil storage tanks is a semi-solid waste. It is actually a complex emulsion made up of numerous petroleum hydrocarbons, water and solid particles or mineral impurities from the rock. Oil sludge is generated during the storage of crude oil production, but also during the transportation, storage, and refining of crude oil. Through its nature - organic and inorganic, dark brown / black in color and semi-fluid physical state - it is a very dangerous waste, as it includes many poisonous substances, such as: polycyclic aromatic hydrocarbons, xylene, benzene, ethyl benzene, toluene, but also metals heavy. Therefore, oil sludge deposition is a dynamic, long-term, and ever-changing process. The authors, under the auspices of AOȘR and AGIR, present - through this scientific paper - a modern technology used for the successful cleaning of oil sludge from crude oil storage tanks and, obviously, it can be a recommendation for organizations in the oil industry
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- 2024
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20. EXCEEDING THE BUDGET DEFICIT AND ADOPTING MEASURES FOR DIFFERENT RECIPIENTS WITHOUT TAKING INTO ACCOUNT THE EFFECTS THEY MAY GENERATE OVER TIME
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Beatrice NICULAE
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deficit ,budget ,economic operators ,reduction measures ,state capital ,Social sciences (General) ,H1-99 - Abstract
With this article, we propose to analyse the way in which the implementation of the measures to reduce the budget deficit was decided in Romania. Thus, we are particularly concerned with the provisions of Law no. 296/2023 on some fiscal-budgetary measures to ensure Romania's long-term financial sustainability, a normative act that at first glance positions itself correctly towards its recipients, but on closer reading, has the potential to generate negative effects, at least with regard to economic operators with state capital that can be considered profitable. We will analyse, for example, the bans imposed, in relation to their generality, without taking into account the long-term effects, and here we have in mind the fluctuation and ageing of staff, but also the lack of any means of encouraging production. However, as long as employees are aware that the company has made a profit, if it is not reflected at the salary level (bonuses, meal vouchers), even though this has happened in previous years, they will become dissatisfied, with the direct consequence being a drop in productivity and, implicitly, in the current year's profit. That is why, having analysed the above-mentioned normative act, we have come to the conclusion that it needs to be amended, at least with regard to some measures, especially those related to the granting of bonuses at salary level. We admit that measures to reduce the budget deficit are necessary, but this cannot be achieved by imposing bans that apply to different categories of recipients, without taking into account possible, well-justified exceptions. If the legislation does not change, surely memoranda will be formulated regarding the exemption of the economic operators concerned from the total/partial application, as the case may be, of the provisions of Law no. 296/2023.
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- 2024
21. Research Protocol for an Observational Health Data Analysis on the Adverse Events of Systemic Treatment in Patients with Metastatic Hormone-sensitive Prostate Cancer: Big Data Analytics Using the PIONEER Platform
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Pawel Rajwa, Angelika Borkowetz, Thomas Abbott, Andrea Alberti, Anders Bjartell, James T. Brash, Riccardo Campi, Andrew Chilelli, Mitchell Conover, Niculae Constantinovici, Eleanor Davies, Bertrand De Meulder, Sherrine Eid, Mauro Gacci, Asieh Golozar, Haroon Hafeez, Samiul Haque, Ayman Hijazy, Tim Hulsen, Andreas Josefsson, Sara Khalid, Raivo Kolde, Daniel Kotik, Samu Kurki, Mark Lambrecht, Chi-Ho Leung, Julia Moreno, Rossella Nicoletti, Daan Nieboer, Marek Oja, Soundarya Palanisamy, Peter Prinsen, Christian Reich, Giulio Raffaele Resta, Maria J. Ribal, Juan Gómez Rivas, Emma Smith, Robert Snijder, Carl Steinbeisser, Frederik Vandenberghe, Philip Cornford, Susan Evans-Axelsson, James N'Dow, and Peter-Paul M. Willemse
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Prostate cancer ,Metastatic ,Hormone sensitive ,Docetaxel ,Androgen receptor signaling inhibitor ,Big data ,Diseases of the genitourinary system. Urology ,RC870-923 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Combination therapies in metastatic hormone-sensitive prostate cancer (mHSPC), which include the addition of an androgen receptor signaling inhibitor and/or docetaxel to androgen deprivation therapy, have been a game changer in the management of this disease stage. However, these therapies come with their fair share of toxicities and side effects. The goal of this observational study is to report drug-related adverse events (AEs), which are correlated with systemic combination therapies for mHSPC. Determining the optimal treatment option requires large cohorts to estimate the tolerability and AEs of these combination therapies in “real-life” patients with mHSPC, as provided in this study. We use a network of databases that includes population-based registries, electronic health records, and insurance claims, containing the overall target population and subgroups of patients defined by unique certain characteristics, demographics, and comorbidities, to compute the incidence of common AEs associated with systemic therapies in the setting of mHSPC. These data sources are standardised using the Observational Medical Outcomes Partnership Common Data Model. We perform the descriptive statistics as well as calculate the AE incidence rate separately for each treatment group, stratified by age groups and index year. The time until the first event is estimated using the Kaplan-Meier method within each age group. In the case of episodic events, the anticipated mean cumulative counts of events are calculated. Our study will allow clinicians to tailor optimal therapies for mHSPC patients, and they will serve as a basis for comparative method studies.
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- 2024
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22. Monitoring and Optimizing the Database Performance
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Căuniac, Diana Andreea, primary and Niculae, Andreea Mihaela, additional
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- 2024
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23. CNG impact on combustion quality of a diesel engine fueled in diesel-gas mode
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Silviu Rotaru, Constantin Pana, Niculae Negurescu, Alexandru Cernat, Cristian Nutu, Dinu Fuiorescu, and Gheorghe Lazaroiu
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Diesel engine ,DF mode ,CNG ,Compressed natural gas ,Heat release rate ,Indicated mean pressure ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
The main objective of the paper is to reveal a few aspects related to combustion quality of a diesel engine fueled in diesel-gas mode with diesel fuel and compressed natural gas. The total amount of heat released per cycle will be higher when the engine is fueled in dual-fuel mode due to higher LHV and because of the gaseous state of CNG. For low and medium loads the total quality of heat released per cycle will increase with 10 % and for higher loads it will reach levels with 25 % higher. The heat release rate of the preformed mixture will double its value for low and medium loads and will reach thresholds up to 3.5 times higher (interval −15; −5°CA); admitting CNG into cylinder will help the preformed mixture to reach stoichiometric values and thus improving the fast combustion phase. Fueling the engine in dual fuel mode with diesel fuel and CNG will have a negative effect on the maximum heat release rate; there will be a 10 % drop in maximum HRR for low loads when the energetic substitution coefficient reaches 36 % and 14 % at high loads when the xc is 26 %. The gaseous state and a higher LHV of CNG will have a good impact on indicated mean effective pressure for all studied regimes when the engine is fueled in DG mode: for low and medium loads 30 % and for high loads 20 % increase will be recorded. Gaseous state of CNG will lead to a higher percentage of preformed mixture and thus the fast combustion phase will extend for longer periods for all studied regimes when the engine is fueled in DG mode (20 % longer for low and medium loads and 30 % for high loads). The diffusive combustion phase will become shorter due to a lower quantity of the main dose when CNG is injected into the intake manifold (10–15 % shorter for low loads and 7 % at high loads).
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- 2024
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24. Romanians and Bulgarians at the end of the 19th century and the beginning of the 20th century. Political assassinations, border incidents and the attempted anarchist/terrorist plot against King Carol I (1900-1901)
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Daniel Silviu NICULAE
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asymmetric threat ,secret committee ,nationalist terrorism ,border incident ,political assassination. ,Military Science ,International relations ,JZ2-6530 - Abstract
At the beginning of 1900, Romanian-Bulgarian relations were very tense, being fuelled by both the incidents at the Southern border and the attacks that took place on the Romanian territory, thus, on the agenda of the Romanian politicians, the problem of the Aromanians from the Balkan Peninsula and Macedonia, the province coveted by Bulgarians, Greeks and Serbs, where comitagii gangs, the antarti and the cetnic fought both for the liberation of the countrymen from Ottoman rule and with the Turkish troops. In this context, assassination came to be used as a weapon against opponents, being present in Romania, Bulgaria, Serbia and Greece. At the end of the 19th century, Romanian society was suddenly awakened to reality, facing the consequences of the barbaric manner in which one of these revolutionary secret committees acted, whose anarchist subcommittee was established in Bucharest – nowadays we frequently use the phrase terrorist cell for something similar. Thus, it received the mission to commit several bombings on the Romanian territory, as well as the assassination of King Carol I and Romanian dignitaries, while, at the Southern border, the Romanian border guards reported daily incidents at the common border whose purpose was to destabilize and maintain a tense state on the conventional demarcation line between Romania and Bulgaria.
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- 2024
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25. Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding.
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Wengang Zhou, Jiajun Deng, Niculae Sebe, Qi Tian 0001, Alan L. Yuille, Concetto Spampinato, and Zakia Hammal
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- 2024
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26. How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?
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Araabi, Ali, Monz, Christof, and Niculae, Vlad
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Computer Science - Computation and Language ,68T50 ,I.2.7 - Abstract
Neural Machine Translation (NMT) is an open vocabulary problem. As a result, dealing with the words not occurring during training (a.k.a. out-of-vocabulary (OOV) words) have long been a fundamental challenge for NMT systems. The predominant method to tackle this problem is Byte Pair Encoding (BPE) which splits words, including OOV words, into sub-word segments. BPE has achieved impressive results for a wide range of translation tasks in terms of automatic evaluation metrics. While it is often assumed that by using BPE, NMT systems are capable of handling OOV words, the effectiveness of BPE in translating OOV words has not been explicitly measured. In this paper, we study to what extent BPE is successful in translating OOV words at the word-level. We analyze the translation quality of OOV words based on word type, number of segments, cross-attention weights, and the frequency of segment n-grams in the training data. Our experiments show that while careful BPE settings seem to be fairly useful in translating OOV words across datasets, a considerable percentage of OOV words are translated incorrectly. Furthermore, we highlight the slightly higher effectiveness of BPE in translating OOV words for special cases, such as named-entities and when the languages involved are linguistically close to each other., Comment: 14 pages, 6 figures, 1 table, To be published in AMTA 2022 conference
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- 2022
27. Septic acute kidney injury and gut microbiome: Should we change our approach?
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Ioana Dicu-Andreescu, Mircea Niculae Penescu, and Constantin Verzan
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Sepsis ,Lesión renal aguda ,Microbioma intestinal ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Incidence of acute kidney injury (AKI) remained relatively stable over the last decade and the adjusted risks for it and mortality are similar across different continents and regions. Also, the mortality of septic-AKI can reach 70% in critically-ill patients. These sole facts can give rise to a question: is there something we do not understand yet?Currently, there are no specific therapies for septic AKI and the treatment aims only to maintain the mean arterial pressure over 65 mmHg by ensuring a good fluid resuscitation and by using vasopressors, along with antibiotics. On the other hand, there is an increased concern about the different hemodynamic changes in septic AKI versus other forms and the link between the gut microbiome and the severity of septic AKI. Fortunately, progress has been made in the form of administration of pre- and probiotics, short chain fatty acids (SCFA), especially acetate, and also broad-spectrum antibiotics or selective decontaminants of the digestive tract in a successful attempt to modulate the microbial flora and to decrease both the severity of AKI and mortality.In conclusion, septic-AKI is a severe form of kidney injury, with particular hemodynamic changes and with a strong link between the kidney and the gut microbiome. By modulating the immune response we could not only treat but also prevent severe forms. The most difficult part is to categorize patients and to better understand the key mechanisms of inflammation and cellular adaptation to the injury, as these mechanisms can serve in the future as target therapies. Resumen: La incidencia de la lesión renal aguda (LRA) se ha mantenido relativamente estable a lo largo de la última década, con unos riesgos ajustados de padecer y morir a consecuencia de esta enfermedad similares en los distintos continentes y regiones. La mortalidad asociada a la LRA secundaria a sepsis puede llegar a 70% en los pacientes que se encuentran en estado crítico. Estos hechos, por sí mismos, deben llevarnos a plantearnos la siguiente pregunta: ¿se nos escapa algo que aún no comprendemos?Actualmente no se dispone de terapias específicas para la LRA secundaria a sepsis y el tratamiento se centra únicamente en mantener la presión arterial media por encima de los 65 mmHg mediante una rehidratación adecuada, vasopresores y antibióticos. Asimismo, cada vez existe mayor interés por las diferentes alteraciones hemodinámicas que se producen en comparación con otras formas de la enfermedad, así como por la relación existente entre el microbioma intestinal y la gravedad. Afortunadamente, se ha avanzado notablemente en la forma en la que se administran los prebióticos y los probióticos, los ácidos grasos de cadena corta (AGCC), especialmente el acetato, los antibióticos de amplio espectro o los detoxificantes selectivos del tracto digestivo, en un intento exitoso de modular la flora microbiana y disminuir tanto la gravedad de la LRA como su mortalidad.En conclusión, la LRA secundaria a sepsis es una forma grave de lesión renal que provoca unos cambios hemodinámicos específicos y en la que se observa una estrecha relación entre la función renal y el microbioma intestinal. La modulación de la respuesta inmunitaria no solo permitiría tratar esta enfermedad, sino también prevenir las formas graves de la misma. La parte más difícil de este enfoque radica en clasificar correctamente a los pacientes y comprender mejor los mecanismos clave de la inflamación y la adaptación celular a la lesión, ya que estos pueden convertirse en futuras dianas terapéuticas.
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- 2024
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28. Fresh versus Frozen Embryo Transfer in In Vitro Fertilization/Intracytoplasmic Sperm Injection Cycles: A Systematic Review and Meta-Analysis of Neonatal Outcomes
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Raluca Tocariu, Lucia Elena Niculae, Alexandru Ștefan Niculae, Andreea Carp-Velișcu, and Elvira Brătilă
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in vitro fertilization ,embryo transfer ,adverse birth outcomes ,neonatal prematurity ,Medicine (General) ,R5-920 - Abstract
Background and Objectives: Although considerable research has been devoted to examining the distinctions between fresh and frozen embryo transfer regarding obstetric outcomes and rates of pregnancy success, there is still a scarcity of thorough analyses that specifically examine neonatal outcomes. The objective of our study was to provide an in-depth analysis of neonatal outcomes that occur after the transfer of fresh and frozen embryos (ET vs. FET) in IVF/ICSI cycles. Materials and Methods: Multiple databases (PubMed/MEDLINE, Cochrane Library, Web of Science, Wiley, Scopus, Ovid and Science Direct) were searched from January 1980 to February 2024. Two reviewers conducted the article identification and data extraction, meeting inclusion and exclusion criteria. The methodological quality was evaluated using the Newcastle–Ottawa Scale (NOS) or the revised Cochrane Risk of Bias Tool. The meta-analysis was performed using RevMan 5.4. Results: Twenty studies, including 171,481 participants in total, were subjected to qualitative and quantitative analyses. A significant increase in preterm birth rates was noted with fresh embryo transfer compared to FET in the overall IVF/ICSI population (OR 1.26, 95% CI 1.18–1.35, p < 0.00001), as well as greater odds of a low birth weight (OR 1.37, 95% CI 1.27–1.48, p < 0.00001) and small-for-gestational-age infants in this group (OR 1.81, 95% CI 1.63–2.00, p < 0.00001). In contrast, frozen embryo transfer can result in macrosomic (OR 0.59, 95% CI 0.54–0.65, p < 0.00001) or large-for-gestational-age infants (OR 0.64, 95% CI 0.60–0.69, p < 0.00001). No significant difference was observed regarding congenital malformations or neonatal death rates. Conclusions: This systematic review confirmed that singleton babies conceived by frozen embryo transfer are at lower risk of preterm delivery, low birthweight and being small for gestational age than their counterparts conceived by fresh embryo transfer. The data support embryo cryopreservation but suggest that elective freezing should be limited to cases with a proven indication or within the framework of a clinical study.
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- 2024
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29. Trading in the Quantum Era: optimizing Bitcoin gains and energy costs
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Simona-Vasilica Oprea, Adela Bâra, Cristian Bucur, Bogdan-George Tudorică, and Niculae Oprea
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Quantum multi-objective optimization ,Bitcoin ,trading profit ,energy cost ,Economic growth, development, planning ,HD72-88 ,Economic history and conditions ,HC10-1085 - Abstract
This paper presents an in-depth analysis of a Quantum-inspired Multi-objective Optimization Algorithm (QMOA) applied to a unique problem: maximizing trading profits while minimizing energy costs. Previous investigations have explored the profitability of Bitcoin, yet our research delves into its relationship with energy costs. Regarding the trade-offs, the Pareto analysis reveals that trading profit and energy cost do not strongly inversely correlate. The range of outcomes shows a relatively uniform trading profit (from 1.302,85 to 1.310,22$), but a broader variation in energy costs (from 1.141,66 to 5.657,94$). While the trading profit remains stable, there is a wide array of options for minimizing energy cost, which is influenced by various constraints and market conditions. Solutions tend to cluster more in areas of higher energy costs. However, the variability in energy costs offers Bitcoin miners choices, allowing them to tailor strategies, whether that involves prioritizing energy efficiency, profit maximization or striking a balance.
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- 2024
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30. Modeling Structure with Undirected Neural Networks
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Mihaylova, Tsvetomila, Niculae, Vlad, and Martins, André F. T.
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Computer Science - Machine Learning ,Computer Science - Computation and Language - Abstract
Neural networks are powerful function estimators, leading to their status as a paradigm of choice for modeling structured data. However, unlike other structured representations that emphasize the modularity of the problem -- e.g., factor graphs -- neural networks are usually monolithic mappings from inputs to outputs, with a fixed computation order. This limitation prevents them from capturing different directions of computation and interaction between the modeled variables. In this paper, we combine the representational strengths of factor graphs and of neural networks, proposing undirected neural networks (UNNs): a flexible framework for specifying computations that can be performed in any order. For particular choices, our proposed models subsume and extend many existing architectures: feed-forward, recurrent, self-attention networks, auto-encoders, and networks with implicit layers. We demonstrate the effectiveness of undirected neural architectures, both unstructured and structured, on a range of tasks: tree-constrained dependency parsing, convolutional image classification, and sequence completion with attention. By varying the computation order, we show how a single UNN can be used both as a classifier and a prototype generator, and how it can fill in missing parts of an input sequence, making them a promising field for further research., Comment: ICML 2022
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- 2022
31. Survivorship Data in Prostate Cancer: Where Are We and Where Do We Need To Be?
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Beth Russell, Katharina Beyer, Ailbhe Lawlor, Monique J. Roobol, Lionne D.F. Venderbos, Sebastiaan Remmers, Erik Briers, Sara J. MacLennan, Steven MacLennan, Muhammad Imran Omar, Mieke Van Hemelrijck, Emma Smith, James N'Dow, Karin Plass, Maria Ribal, Nicolas Mottet, Robert Shepherd, Tom Abbott, Ken Mastris, Lisa Moris, Michael Lardas, Thomas Van den Broeck, Peter-Paul Willemse, Nicola Fossati, Karl Pang, Riccardo Campi, Isabella Greco, Mauro Gacci, Sergio Serni, Anders Bjartell, Ragnar Lonnerbro, Alberto Briganti, Daniele Crosti, Roberto Garzonio, Giorgio Gandaglia, Martina Faticoni, Grant office, Chris Bangma, Maria Jongerden, Derya Tilki, Anssi Auvinen, Teemu Murtola, Tapio Visakorpi, Kirsi Talala, Teuvo Tammela, Aino Siltari, Stephane Lejeune, Laurence Colette, Simona Caputova, Delielena Poli, Sophie Byrne, Luz Fialho, Ashley Rowland, Neo Tapela, Nicola Di Flora, Kathi Apostolidis, Valerie Lemair, Bertrand De Meulder, Charles Auffray, Nesrine Taibi, Ayman Hijazy, Albert Saporta, Kai Sun, Shaun Power, Nazanin Zounemat Kermani, Kees van Bochove, Azadeh Tafreshiha, Chiara Bernini, Denis Horgan, Louise Fullwood, Marc Holtorf, Doron Lancet, Gabi Bernstein, Sheela Tripathee, Manfred Wirth, Michael Froehner, Beate Brenner, Angelika Borkowetz, Christian Thomas, Friedemann Horn, Kristin Reiche, Markus Kreuz, Andreas Josefsson, Delila Gasi Tandefelt, Jonas Hugosson, Jack Schalken, Henkjan Huisman, Thomas Hofmarcher, Peter Lindgren, Emelie Andersson, Adam Fridhammar, Monica Tames Grijalva, Susan Evans-Axelsson, Frank Verholen, Jihong Zong, John-Edward Butler-Ransohoff, Todd Williamson, Reg Waldeck, Amanda Bruno, Ekaterina Nevedomskaya, Samuel Fatoba, Niculae Constantinovici, Carl Steinbeisser, Monika Maass, Patrizia Torremante, Emmanuelle Dochy, Federica Pisa, Marc Dietrich Voss, Kishore Papineni, Jing Wang-silvanto, Robert Snijder, Xuewei Wang, Mark Lambrecht, Russ Wolfinger, Sherinne Eid, Soundarya Palanisamy, Samiul Haque, Laurent Antoni, Angela Servan, Katie Pascoe, Paul Robinson, Joana Lencart, Bertrand Jaton, Heidi Turunen, Olavi Kilkku, Pasi Pohjanjousi, Olli Voima, Liina Nevalaita, Keijo Punakivi, Sarah Seager, Shilpa Ratwani, Katarzyna Grzeslak, James Brash, Elaine Longden-Chapman, Danny Burke, Muriel Licour, Sarah Payne, Alan Yong, Flavia Lujan, Sophia Le Mare, Jan Hendrich, Michael Bussmann, Juckeland, Kotik, and Christian Reich
- Subjects
Cancer survivorship ,Prostate cancer ,Quality of life ,Patient-reported outcome measures ,Diseases of the genitourinary system. Urology ,RC870-923 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Cancer survivorship was recently identified as a prostate cancer (PCa) research priority by PIONEER, a European network of excellence for big data in PCa. Despite being a research priority, cancer survivorship lacks a clear and agreed definition, and there is a distinct paucity of patient-reported outcome (PRO) data available on the subject. Data collection on cancer survivorship depends on the availability and implementation of (validated) routinely collected patient-reported outcome measures (PROMs). There have been recent advances in the availability of such PROMs. For instance, the European Organisation for Research and Treatment of Cancer Quality of Life Group (EORTC QLG) is developing survivorship questionnaires. This provides an excellent first step in improving the data available on cancer survivorship. However, we propose that an agreed, standardised definition of (prostate) cancer survivorship must first be established. Only then can real-world data on survivorship be collected to strengthen our knowledge base. With more men than ever surviving PCa, this type of research is imperative to ensure that the quality of life of these men is considered as much as their quantity of life. Patient summary: As there are more prostate cancer survivors than ever before, research into cancer survivorship is crucial. We highlight the importance of such research and provide recommendations on how to carry it out. The first step should be establishing agreement on a standardised definition of survivorship. From this, patient-reported outcome measures can then be used to collect important survivorship data.
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- 2024
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32. CNG impact on combustion quality of a diesel engine fueled in diesel-gas mode
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Rotaru, Silviu, Pana, Constantin, Negurescu, Niculae, Cernat, Alexandru, Nutu, Cristian, Fuiorescu, Dinu, and Lazaroiu, Gheorghe
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- 2024
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33. Wolcott-Rallison Syndrome, a Rare Cause of Permanent Diabetes Mellitus in Infants—Case Report
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Alexandru-Ștefan Niculae, Claudia Bolba, Alina Grama, Alexandra Mariş, Laura Bodea, Simona Căinap, Alexandra Mititelu, Otilia Fufezan, and Tudor Lucian Pop
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Wolcott-Rallison syndrome ,diabetes ,permanent neonatal diabetes ,insulin therapy ,long-acting insulin analogs ,Medicine ,Pediatrics ,RJ1-570 - Abstract
Wolcott-Rallison syndrome is a rare cause of permanent neonatal diabetes mellitus caused by mutations in the eukaryotic translation initiation factor 2 alpha kinase 3 gene (EIF2AK3). Individuals affected by this disorder have severe hyperglycemia, pancreatic failure, and bone abnormalities and are prone to severe and life-threatening episodes of liver failure. This report illustrates the case of a 2-month-old infant with extreme hyperglycemia and severe diabetic ketoacidosis. Acute management was focused on correcting severe acidosis. Further management aimed to obtain stable blood glucose levels, balancing the patient’s need for comfort and lack of distress with the clinicians’ need for adequate information regarding the patient’s glycemic control. Genetic testing of the patient and his parents confirmed the diagnosis. The follow-up for 18 months after diagnosis is detailed, illustrating both the therapeutic success of subcutaneous insulin therapy and the ongoing complications that patients with Wolcott-Rallison syndrome are subject to.
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- 2023
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34. Outcomes of Birmingham Hip Resurfacing Based on Clinical Aspects and Retrieval Analysis of Failed Prosthesis
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Iulian Antoniac, Niculae Valeanu, Marius Niculescu, Aurora Antoniac, Alina Robu, Larisa Popescu, Veronica Manescu (Paltanea), Dan Anusca, and Catalin Ionel Enachescu
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BHR prosthesis ,bone cement ,cement technique ,metallic biomaterials ,retrieval analyses ,Technology ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Microscopy ,QH201-278.5 ,Descriptive and experimental mechanics ,QC120-168.85 - Abstract
This research aims to identify the prevalence of failure for Birmingham Hip Prosthesis (BHR) in total hip arthroplasty and to analyze its reasons from biomaterials and biofunctional perspectives. We present our current analysis and tests on a series of different BHR-retrieved prostheses after premature failure. Relevant clinical data, such as X-ray investigations and intraoperative images for clinical case studies, were analyzed to better understand all factors involved in BHR prosthesis failure. A detailed analysis of the failures highlighted uneven cement distribution, overloading in certain areas, and void formation in the material. A closer investigation using microscopical techniques revealed the presence of a crack originating from the gap between the cement mantle and human bone. Additionally, scanning electron microscopy analyses were conducted as part of the investigation to examine bone cement morphology in detail and better understand the interactions at the interfaces between implant, cement, and bone. In conclusion, this research emphasizes the importance of surgical technique planning and the cementation procedure in the success rate of BHR prostheses. It also underscores the need to carefully evaluate patient characteristics and bone quality to minimize the risk of BHR prosthesis failure. The cementation procedure seems to be essential for the long-term functionality of the BHR prosthesis.
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- 2024
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35. Independent Risk Factors and Mortality Implications of De Novo Central Nervous System Involvement in Patients Hospitalized with Severe COVID-19: A Retrospective Cohort Study
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Andreea Raluca Hanganu, Adriana Octaviana Dulămea, Cristian-Mihail Niculae, Emanuel Moisă, and Adriana Hristea
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severe COVID-19 ,SARS-CoV-2 ,central nervous system ,risk factors ,outcome ,mortality ,Medicine - Abstract
Background/Objectives: Central nervous system (CNS) involvement is a complication of COVID-19, adding to disease burden. The aim of this study is to identify the risk factors independently associated with CNS involvement in a cohort of patients hospitalized with severe forms of COVID-19 and the risk factors associated with all causes of in-hospital mortality and assess the impact of CNS involvement on in-hospital mortality of the severe COVID-19 patients. Methods: We performed a retrospective observational cohort study including adult patients with severe or critical forms of COVID-19 with and without new-onset CNS manifestations between March 2020 and December 2022. Results: We included 162 patients, 50 of which presented with CNS involvement. Independent risk factors for CNS involvement were female sex (p = 0.04, OR 3.67, 95%CI 1.05–12.85), diabetes mellitus (p = 0.008, OR 5.08, 95%CI 1.519–17.04)), lymphocyte count (0.04, OR 0.23, 95%CI 0.05–0.97), platelets count (p = 0.001, OR 0.98, 95%CI 0.98–0.99) CRP value (p = 0.04, OR 1.007, 95%CI 1.000–1.015), and CK value (p = 0.004, OR 1.003, 95%CI 1.001–1.005). Obesity was a protective factor (p < 0.001, OR 0.57, 95%CI 0.016–0.20). New-onset CNS manifestations (p = 0.002, OR 14.48, 95%CI 2.58–81.23) were independent risk factors for in-hospital mortality. In-hospital mortality was higher in the new-onset CNS involvement group compared to patients without neurological involvement, 44% versus 7.1% (p < 0.001). Conclusions: CNS involvement in severe COVID-19 patients contributes to all causes of in-hospital mortality. There are several risk factors associated with new-onset CNS manifestations and preventing and controlling them could have an important impact on patients’ outcome.
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- 2024
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36. ARM: Efficient Guided Decoding with Autoregressive Reward Models.
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Sergey Troshin, Vlad Niculae, and Antske Fokkens
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- 2024
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37. Sparse and Structured Hopfield Networks.
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Saul José Rodrigues dos Santos, Vlad Niculae, Daniel C. McNamee, and André F. T. Martins
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- 2024
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38. Sparse Communication via Mixed Distributions
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Farinhas, António, Aziz, Wilker, Niculae, Vlad, and Martins, André F. T.
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Computer Science - Machine Learning - Abstract
Neural networks and other machine learning models compute continuous representations, while humans communicate mostly through discrete symbols. Reconciling these two forms of communication is desirable for generating human-readable interpretations or learning discrete latent variable models, while maintaining end-to-end differentiability. Some existing approaches (such as the Gumbel-Softmax transformation) build continuous relaxations that are discrete approximations in the zero-temperature limit, while others (such as sparsemax transformations and the Hard Concrete distribution) produce discrete/continuous hybrids. In this paper, we build rigorous theoretical foundations for these hybrids, which we call "mixed random variables." Our starting point is a new "direct sum" base measure defined on the face lattice of the probability simplex. From this measure, we introduce new entropy and Kullback-Leibler divergence functions that subsume the discrete and differential cases and have interpretations in terms of code optimality. Our framework suggests two strategies for representing and sampling mixed random variables, an extrinsic ("sample-and-project") and an intrinsic one (based on face stratification). We experiment with both approaches on an emergent communication benchmark and on modeling MNIST and Fashion-MNIST data with variational auto-encoders with mixed latent variables., Comment: Accepted for oral presentation at ICLR 2022
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- 2021
39. Sparse Continuous Distributions and Fenchel-Young Losses
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Martins, André F. T., Treviso, Marcos, Farinhas, António, Aguiar, Pedro M. Q., Figueiredo, Mário A. T., Blondel, Mathieu, and Niculae, Vlad
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Statistics - Machine Learning - Abstract
Exponential families are widely used in machine learning, including many distributions in continuous and discrete domains (e.g., Gaussian, Dirichlet, Poisson, and categorical distributions via the softmax transformation). Distributions in each of these families have fixed support. In contrast, for finite domains, recent work on sparse alternatives to softmax (e.g., sparsemax, $\alpha$-entmax, and fusedmax), has led to distributions with varying support. This paper develops sparse alternatives to continuous distributions, based on several technical contributions: First, we define $\Omega$-regularized prediction maps and Fenchel-Young losses for arbitrary domains (possibly countably infinite or continuous). For linearly parametrized families, we show that minimization of Fenchel-Young losses is equivalent to moment matching of the statistics, generalizing a fundamental property of exponential families. When $\Omega$ is a Tsallis negentropy with parameter $\alpha$, we obtain ``deformed exponential families,'' which include $\alpha$-entmax and sparsemax ($\alpha=2$) as particular cases. For quadratic energy functions, the resulting densities are $\beta$-Gaussians, an instance of elliptical distributions that contain as particular cases the Gaussian, biweight, triweight, and Epanechnikov densities, and for which we derive closed-form expressions for the variance, Tsallis entropy, and Fenchel-Young loss. When $\Omega$ is a total variation or Sobolev regularizer, we obtain a continuous version of the fusedmax. Finally, we introduce continuous-domain attention mechanisms, deriving efficient gradient backpropagation algorithms for $\alpha \in \{1, 4/3, 3/2, 2\}$. Using these algorithms, we demonstrate our sparse continuous distributions for attention-based audio classification and visual question answering, showing that they allow attending to time intervals and compact regions., Comment: JMLR 2022 camera ready version. arXiv admin note: text overlap with arXiv:2006.07214
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- 2021
40. The outcome and risk factors associated with central and peripheral nervous system involvement in hospitalized COVID-19 patients: a retrospective cohort study
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Andreea Raluca Hanganu, Cristian-Mihail Niculae, Adriana Octaviana Dulămea, Emanuel Moisă, Rareș Constantin, Georgiana Neagu, and Adriana Hristea
- Subjects
COVID-19 ,SARS-CoV-2 ,peripheral nervous system ,risk factors ,analysis ,central nervous system ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
IntroductionSARS-CoV-2 infection can affect any organ, including both the central nervous system (CNS) and peripheral nervous system (PNS). The aim of this study was to explore the outcome and risk factors associated with the involvement of either CNS or PNS in a cohort of hospitalized COVID-19 patients.MethodsWe performed a retrospective observational cohort study of hospitalized adult patients with COVID-19, between May 2020 and December 2022, presenting with new onset neurological disabilities any time after admission.ResultsWe included 115 patients, 72 with CNS manifestations and 43 with PNS involvement. The CNS manifestations were COVID-19-associated encephalopathy, headache, neurovascular events, and seizures in 80.5, 43, 31.9, and 11.1% of patients, respectively. The neurovascular events were ischemic stroke in 17 (23.6%) patients, hemorrhagic stroke in 6 (8.3%) patients, venous thrombosis in 1 (1.4%) patient, and subarachnoid hemorrhage in 1 (1.4%) patient. Cranial nerve involvement was the most frequent PNS manifestation in 34 (79%) cases, followed by mononeuritis in 5 (11.6%) patients and polyneuropathy in 4 (9.3%) patients. The affected cranial nerves were the vestibulocochlear nerve in 26 (60.5%) patients, the olfactory nerve in 24 (55.8%) patients, the oculomotor nerves in 5 (11.6%) patients, and the facial nerve in 1 (2.3%) patient. Two patients (9.3%) presented with polyneuritis cranialis. Older age (HR = 1.02, 95% CI: 1.003–1.037, p = 0.01), COVID severity (HR = 2.53, 95% CI: 1.42–4.5, p = 0.002), ischemic cardiac disease (HR = 2.42, 95% CI: 1.05–5.6, p = 0.03), and increased D-dimers (HR = 1.00, 95% CI: 1.00–1.00, p = 0.02) were independently associated with the development of CNS manifestations. The factors associated with in-hospital mortality were age (HR = 1.059, 95% CI: 1.024–1.096, p = 0.001), C-reactive protein (HR = 1.006, 95% CI: 1.00–1.011, p = 0.03), CNS involvement (HR = 9.155, 95% CI: 1.185–70.74, p = 0.03), and leucocyte number (HR = 1.053, 95% CI: 1.026–1.081, p
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- 2024
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41. Protocol no. 5 of March 12, 1932. A legal approach with delayed effects on bilateral investigation of incidents at the Romanian Bulgarian border
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Daniel Silviu NICULAE
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border incidents ,mixed military commissions ,komitadji ,terrorism ,South Dobrogea. ,Military Science ,International relations ,JZ2-6530 - Abstract
In 1923, the Dobrogean Revolutionary Internal Organization – V.D.R.O. was created by reorganizing the revolutionary section of „Dobrogea” Society. Amid intervention by the Bulgarian authorities informed that the leaders of this group, influenced by the Bulgarian communists, were planning to start a revolt in the autumn of 1925, the Dobrogean Internal Revolutionary Organization – V.D.R.O split, creating a new organization called the Dobrogean Revolutionary Organization – D.R.O. – under communist coordination. From this moment, internally, a strong rivalry began between these terrorist organizations, V.D.R.O and D.R.O. Therefore, between 1925 and 1932, the irredentist activity of Bulgarian counties was reflected in numerous border incidents, investigated by joint military commissions, exchanges of fire between Romanian and Bulgarian border guards, mainly caused by fraudulent crossings of Bulgarian counties, who robbed the Romanian peasants of the villages near the Romanian-Bulgarian border and killed the Romanian border guards who surprised them as they tried to cross the border. In order to stop these events and their investigation in a good collaboration by both parties, in 1932, a protocol agreed by the Government of Romania and Bulgaria was concluded and signed, known as Protocol no. 5, which sought to implement a simple procedure and methodology adapted to a concrete situation in the joint investigation of border incidents.
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- 2024
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42. Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens.
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David Stap, Vlad Niculae, and Christof Monz
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- 2023
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43. euAirQuality: Real-time Visualization and Analysis of European Air Quality.
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Andreea-Mihaela Niculae, Adela Bâra, Diana Andreea Cauniac, and Simona-Vasilica Oprea
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- 2023
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44. Modelling and Simulation of Some Mechatronics Assembly Realized on Arduino Uno Board, Through the Tinkercad Application
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Munteanu, Iulian Sorin, Ungureanu, Liviu Marian, Caraiman, Cosmina-Constantina, Crișan, Ramona-Gabriela, Niculae, Elisabeta, Sorin, Badea, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Cioboată, Daniela Doina, editor
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- 2023
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45. Aspects Regarding the Bessarabian Society in the Correspondence of the President of the Council of Ministers, Alexandru Marghiloman (May-July 1918)
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Daniel Silviu NICULAE
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bessarabia ,alexandru marghiloman ,romanian administration ,agriculture ,tobacco ,Literature (General) ,PN1-6790 - Abstract
With the Union with Bessarabia, the Romanian government took over a territorial administration influenced by the tsarist regime and then by the events that took place after the Bolshevik revolution in 1917. If the central administration of the country was carried out through the Country Council (legislative power) and the Council of Ministers (executive power) at the county, commune or village level, the local administration was represented by numerous commissions and committees. The Alexandru Marghiloman government was the first to start the process of implementing the romanian administration’s principles.
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- 2023
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46. Challenges in the diagnosis of leptomeningeal dissemination of glioblastoma in a patient with fever and xanthochromic CSF: a case report
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Neagu Andrei, Niculae Cristian-Mihail, Lăpădat Irina, and Hristea Adriana
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glioblastoma ,fever ,meningitis ,xanthochromic csf ,Internal medicine ,RC31-1245 - Abstract
Leptomeningeal spread with carcinomatous meningitis is a severe complication of glioblastoma, with a poor prognosis. Diagnosis is challenging, as the sensitivity of classic diagnostic investigations remains low for detecting cerebrospinal fluid (CSF) tumor spread and exclusion of infectious causes is mandatory, especially if unusual clinical findings are present.
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- 2023
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47. Big Data Management and NoSQL Databases
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Simona-Vasilica Oprea, Adela Bara, and Niculae Oprea
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database ,nosql ,big data ,relational db ,Business ,HF5001-6182 ,Economics as a science ,HB71-74 - Abstract
In this paper, we aim to showcase the general context, characteristics of NoSQL, data management using NoSQL database and an exemplification in MongoDB. Moreover, organization and management of large volumes of data (Big Data), the trend in the field of advanced database systems and business intelligence will be depicted in this research. The large volumes of data in various fields of activity require adequate management in order to gain a competitive advantage or to achieve the quality of decisions. Various fields generate large volumes of data, such as: consumerism and home devices, smart infrastructure, security and surveillance, healthcare system, transportation, retail and industrial sectors, others.
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- 2023
48. Septic acute kidney injury and gut microbiome: Should we change our approach?
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Dicu-Andreescu, Ioana, Penescu, Mircea Niculae, and Verzan, Constantin
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- 2024
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49. Revealing the Phenolic Composition and the Antioxidant, Antimicrobial and Antiproliferative Activities of Two Euphrasia sp. Extracts
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Daniela Benedec, Ilioara Oniga, Daniela Hanganu, Ana-Maria Vlase, Irina Ielciu, Gianina Crișan, Nicodim Fiţ, Mihaela Niculae, Timea Bab, Emoke Pall, and Laurian Vlase
- Subjects
Euphrasia officinalis subsp. pratensis ,Euphrasia stricta ,polyphenols ,antioxidant ,antimicrobial ,antiproliferative ,Botany ,QK1-989 - Abstract
The species of the genus Euphrasia present important medicinal potential according to their traditional uses. However, few studies aim to sustain this fact by scientific evidence. The present study aimed to explore the phytochemical profile and investigate the antioxidant, antimicrobial and antiproliferative potential of E. officinalis subsp. pratensis Fr. (EO) and E. stricta J.P.Wolff ex J.F.Lehm (ES). The tested samples consisted of ethanolic extracts. The identification and quantification of phenolic compounds were performed using spectrophotometric and LC–MS/MS methods. The antioxidant capacity was evaluated using the DPPH, FRAP and xanthine oxidase methods. Antimicrobial properties were screened using disk diffusion, broth microdilution and anti-biofilm assays, while antiproliferative potential was assessed on a colorectal adenocarcinoma human cancer cell line (DLD-1). The LC–MS/MS analysis showed chlorogenic acid and rutin as the dominant constituents in the tested extracts. The antioxidant activity assays showed important capacity for both samples; in vitro antimicrobial and anti-biofilm properties were exhibited, especially against Gram-positive bacteria, and an important inhibitory potential was observed on the proliferation of the DLD-1 cell line. The findings in the present study contribute to the recommendation of EO and ES for the prevention and treatment of oxidative stress-related pathologies, cancer and microbial infections.
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- 2024
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50. Giant Myxofibrosarcoma in the Lower Limb: An Overview of Diagnostic and Clinical Management
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Răzvan Ene, Alexandru Lisias Dimitriu, Ileana Peride, Mirela Țigliș, Elisa Georgiana Popescu, Eduard Cătălin Georgescu, Tiberiu Paul Neagu, Ionel Alexandru Checherita, and Andrei Niculae
- Subjects
myxofibrosarcoma ,lower limb ,surgical resection ,metastases ,high-grade MFS ,reconstructive surgery ,Medicine (General) ,R5-920 - Abstract
Myxofibrosarcoma (MFS), an aggressive soft tissue sarcoma, is one of the undifferentiated pleomorphic sarcomas; it has a low incidence, affecting people in the sixth to eighth decades of life. It usually involves the extremities and is painless with a slow-growing pattern. Based on the case of a 52-year-old female patient who presented with a painful, massive, rapid-growing, ulcerated tumor of the anterior surface of the left thigh, we performed a literature review regarding the current standard of care for patients with MFS. Computed tomography examination, followed by magnetic resonance imaging and surgical biopsy with histopathological examination, confirmed the diagnosis and the presence of lung and inguinal lymph node metastases. Due to the rapid-growing pattern and the local aggressiveness, our tumor board team recommended emergency excisional surgery, with subsequent reconstructive procedures followed by referral to an oncological center. This review emphasizes the importance of proper and rapid diagnosis, followed by multidisciplinary management, for MFS cases with atypical presentation and distal metastases to improve overall outcomes.
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- 2024
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