Miracle-dz/UniFAR-FTUs huggingface dataset:
Synchronizing Huygens's clocks

We introduce an interaction mechanism between oscillators leading to exact anti-phase and in-phase synchronization. This mechanism is applied to the coupling between two nonlinear oscillators with a limit cycle in phase space, leading to a simple justification of the anti-phase synchronization observed in the Huygens's pendulum clocks experiment. If the two coupled nonlinear oscillators reach the anti-phase or the in-phase synchronized oscillatory state, the period of oscillation is different from the eigen-periods of the uncoupled oscillators.
Ensemble Investment Strategies Based on Reinforcement Learning

Due to the rapid development of hardware devices, the analytical processing and algorithmic capabilities of computers are also being enhanced, which makes machine learning play an increasingly important role in the field of quantitative investment. For this reason, the possibility of replacing traditional human traders with automated investment algorithms that have been trained several times has become a hot topic in recent years. The majority of machine algorithms used in today’s stock trading market are supervised learning algorithms, which are still unable to objectively analyse the market and find the optimal solution for market trading on their own. To solve the two major challenges of environment awareness and automated decision-making, this study uses three core algorithms, PPO, A2C, and SAC, to build a set of ensemble automated trading strategies in a deep reinforcement learning-based framework. The ensemble trading strategy combines the advantages of each of the three algorithms to make the original reinforcement learning algorithm more adaptive, and to avoid consuming a large amount of memory when training the network, the study uses the PCA method to compress the dimension of the stock feature vector. We test our algorithm on 40 A-share stocks with sufficient liquidity and compare it with different trading strategies. The results show that the ensemble strategy proposed in this study outperforms three independent algorithms and two selected baselines, achieving an accumulated return of around 70%.
Depression: A Case Study

Depression is a mood disorder characterized by sadness, hopelessness, lack of pleasure, lack of motivation and loss of interest in activities. It is a common illness but a serious one. Sometimes symptoms are severe and affect person’s life to such extent that patient commit or attempt to suicide. Depression can affect people at any age such as adults, teenagers and children. It is difficult to elucidate its pathophysiology but life events, anger, physical conditions, poor diet, use of street drugs and alcohol, environmental factors, genetics and chemical changes in brain may cause depression. Goal of treatment is to eliminate symptoms, motivate patient and improve patient’s quality of life. Pharmacotherapy and psychotherapy both are given to treat depression along with lifestyle modifications.
Fragment-Based and Structural Investigation for Discovery of JNK3 Inhibitors

The c-Jun N-terminal kinases (JNKs) are members of the mitogen-activated protein kinase (MAPK) family and are related to cell proliferation, gene expression, and cell death. JNK isoform 3 (JNK3) is an important therapeutic target in varieties of pathological conditions including cancers and neuronal death. There is no approved drug targeting JNKs. To discover chemical inhibitors of JNK3, virtual fragment screening, the saturation transfer difference (STD) NMR, in vitro kinase assay, and X-ray crystallography were employed. A total of 27 fragments from the virtually selected 494 compounds were identified as initial hits via STD NMR and some compounds showed the inhibition of the activity of JNK3 in vitro. The structures of JNK3 with a fragment and a potent inhibitor were determined by X-ray crystallography. The fragment and inhibitor shared a common JNK3-binding feature. The result shows that fragment screening by NMR spectroscopy is a very efficient method to screen JNK3 binders and the structure of JNK3-inhibitor complex can be used to design and develop more potent inhibitors.
Sparsity-Inducing Reconstruction Methods for Fluorescence Diffuse Optical Tomography

The recent advances in fluorescent molecular probes, photon detection instrumentation, and photon propagation models in tissue, have facilitated the emergence of innovative molecular imaging technologies such as Fluorescence Diffuse Optical Tomography (FDOT). FDOT has already successfully been applied on its own to resolve specific molecular targets and pathways in vivo. Recent attempts have tried to integrate FDOT with structural imaging technology into a multi-modal system. This thesis is amongst the first academic-industrial partnerships to develop a hybrid X-Ray Computed Tomography/FDOT platform for small animal imaging. In this study, we focus on image reconstruction algorithms for FDOT, and consider three main research directions. First, we investigate innovative discretization techniques for FDOT, in the context of variational reconstruction methods. Our goal is to treat in a consistent manner the propagation equation, and the regularization, needed in the reconstruction algorithm. This study uses the diffusion approximation for modeling the propagation of photons in tissue. We solve the diffusion equation with a novel Finite Volumes Method that is specifically designed to be compatible with the sparsity-inducing regularization developed in the second part of this work. Our approach results in a computationally efficient implementation of the forward model. Next, we study a novel regularization approach for FDOT which is based on sparsity-promoting regularization. This approach is expected to enhance the reconstruction when the fluorescence distribution presents a sparsity pattern in a suitable representation, or after linear transformation. We propose a variational framework based on lp-norm penalization in order to incorporate the sparsity a priori in the inversion algorithm. We demonstrate this approach on experimental data, using computationally efficient algorithms relying on convex optimization principles. Finally, we focus on hybrid imaging systems that combine FDOT with another imaging technique. The latter is employed to acquire a high-resolution image of the anatomy of the specimen under investigation, which provides valuable information for the FDOT reconstruction. We propose a new regularization method that allows the incorporation of the anatomical information in the FDOT reconstruction. Our method is based on the concept of group sparsity, and implemented in practice using l2,1-norm penalization. We extend our sparsity-inducing algorithms to this case, and study the performance of the resulting implementation on experimental data.
Redefinition of Heptapterus (Heptapteridae) and description of Heptapterus carmelitanorum, a new species from the upper Paraná River basin in Brazil

A new diagnosis and a new classification of Heptapterus are provided and a new species, H. carmelitanorum, is described. Heptapterus is diagnosed by the following character combination: adipose fin confluent with the caudal fin; non-bifurcate caudal fin; anal-fin insertion posterior to vertical through adipose-fin insertion; 10–23 anal-fin rays; anal fin not confluent with caudal fin; and extremely elongate body, with a head length of 16.1–24.9%SL. Species included in Heptapterus are H. borodini, H. carmelitanorum, H. carnatus, H. exilis, H. hollandi, H. mandimbusu, H. mbya, H. mustelinus, H. ornaticeps, and H. qenqo. Some of the character states diagnosing H. carmelitanorum among its congeners are the anal-fin insertion less than one eye diameter posterior to a vertical through the adipose-fin insertion (vs. more than one eye diameter in all congeners); the isognathous mouth (vs. slightly to moderately retrognathous, except H. borodini); and the keel formed by ventral procurrent caudal-fin rays shallow, far from reaching anal-fin base (vs. keel formed by ventral procurrent caudal-fin rays deep, continuing almost to the anal-fin base, except in H. borodini and H. hollandi).
Topographic thresholds for gully head formation in badlands

Gully erosion is a particularly damaging process which is not yet sufficiently understood and parameterized. Gully head topographic threshold relative to Hortonian runoff have been studied in cropland, rangeland and forest. This study extends such modelling approach to badlands. Different badlands (eight sites) have been studied in the Mediterranean environment in Italy and Spain, characterized by diversified climatic, lithological, and geological settings under different anthropogenic conditioning. Many badlands have been characterized by their specific human history in addition to their geomorphological properties. Land use, as part of the human history, strongly affected many badland formation and development, through extremely impacting land exploitation (usually overgrazing). The effect of geological and geomorphological processes are usually particularly well visible. While the weakening effect of joints is confirmed, the different geological layer bedding orientation with respect to the slope aspect generates a different development of badland morphologies and different values of gully head thresholds values (as shown in two badlands sites on the same geological material and climate.
A Novel Hybrid Encryption Method Based on Honey Encryption and Advanced DNA Encoding Scheme in Key Generation

Nowadays, increased information capacity and transmission processes make information security a difficult problem. As a result, most researchers em-ploy encryption and decryption algorithms to enhance information security domains. As it progresses, new encryption methods are being used for information security. In this paper, a hybrid encryption algorithm that combines the honey encryption algorithm and an advanced DNA encoding scheme in key generation is presented. Deoxyribonucleic Acid (DNA) achieves maximal protection and powerful security with high capacity and low modification rate, it is currently being investigated as a potential carrier for information security. Honey Encryption (HE) is an important encryption method for security systems and can strongly prevent brute force attacks. However, the traditional honeyword encryption has a message space limitation problem in the message distribution process. Therefore, we use an improved honey encryption algorithm in our proposed system. By combining the benefits of the DNA-based encoding algorithm with the improved Honey encryption algorithm, a new hybrid method is created in the proposed system. In this paper, five different lookup tables are created in the DNA encoding scheme in key generation. The improved Honey encryption algorithm based on the DNA encoding scheme in key generation is discussed in detail. The passwords are generated as the keys by using the DNA methods based on five different lookup tables, and the disease names are the input messages that are encoded by using the honey encryption process. This hybrid method can reduce the storage overhead problem in the DNA method by applying the five different lookup tables and can reduce time complexity in the existing honey encryption process.
The Role of DNA Methylation in Stroke Recovery

Epigenetic alterations affect the onset of ischemic stroke, brain injury after stroke, and mechanisms of poststroke recovery. In particular, DNA methylation can be dynamically altered by maintaining normal brain function or inducing abnormal brain damage. DNA methylation is regulated by DNA methyltransferase (DNMT), which promotes methylation, DNA demethylase, which removes methyl groups, and methyl-cytosine–phosphate–guanine-binding domain (MBD) protein, which binds methylated DNA and inhibits gene expression. Investigating the effects of modulating DNMT, TET, and MBD protein expression on neuronal cell death and neurorepair in ischemic stroke and elucidating the underlying mechanisms can facilitate the formulation of therapeutic strategies for neuroprotection and promotion of neuronal recovery after stroke. In this review, we summarize the role of DNA methylation in neuroprotection and neuronal recovery after stroke according to the current knowledge regarding the effects of DNA methylation on excitotoxicity, oxidative stress, apoptosis, neuroinflammation, and recovery after ischemic stroke. This review of the literature regarding the role of DNA methylation in neuroprotection and functional recovery after stroke may contribute to the development and application of novel therapeutic strategies for stroke.
Active Vibration Control for Helicopter Interior Noise Reduction Using Power Minimization

This report describes work performed by United Technologies Research Center (UTRC) for NASA Langley Research Center (LaRC) under Contract NNL11AA06C. The objective of this program is to develop technology to reduce helicopter interior noise resulting from multiple gear meshing frequencies. A novel active vibration control approach called Minimum Actuation Power (MAP) is developed. MAP is an optimal control strategy that minimizes the total input power into a structure by monitoring and varying the input power of controlling sources. MAP control was implemented without explicit knowledge of the phasing and magnitude of the excitation sources by driving the real part of the input power from the controlling sources to zero. It is shown that this occurs when the total mechanical input power from the excitation and controlling sources is a minimum. MAP theory is developed for multiple excitation sources with arbitrary relative phasing for single or multiple discrete frequencies and controlled by a single or multiple controlling sources. Simulations and experimental results demonstrate the feasibility of MAP for structural vibration reduction of a realistic rotorcraft interior structure. MAP control resulted in significant average global vibration reduction of a single frequency and multiple frequency excitations with one controlling actuator. Simulations also demonstrate the potential effectiveness of the observed vibration reductions on interior radiated noise.
An examination of prospective memory in multiple sclerosis: a theoretical approach using objective and subjective measures

An Examination of Prospective Memory in Multiple Sclerosis: A Theoretical Approach Using Objective and Subjective Measures Joshua D. McKeever Maria T. Schultheis, Ph.D Objective: Prospective Memory (PM) is the ability to complete a task at some specific point in the future without constant rehearsal. PM is noteworthy for the impact it may have on everyday functioning in patient populations, but it is difficult to assess using objective neuropsychological tests, and thus self-report has commonly been used as a measure of PM function. One problem with this method of assessment is the lack of a theoretical basis for current measures, especially in light of the many recent advances toward a theory of PM. Individuals with Multiple Sclerosis (MS) are often highfunctioning, but 50-72% suffer from some form of cognitive impairment, especially in cognitive domains thought to be essential to PM. The goals of the current study were to a) use a theoretically-based approach to examining PM in the MS population, using objective and subjective measures of PM; and b) assess the usefulness of a novel measure of subjective PM problems (the Prospective Memory Complaints Questionnaire (PMCQ)) in the MS population. Participants: Twenty-seven individuals with MS and twenty healthy controls, matched on distributions of gender, age, and education level. Methods: Participants underwent a series of 3 measures, which included 1) a novel selfreport questionnaire (the PMCQ) assessing PM difficulties administered in an interview format; 2) a standardized, objective measure of PM (the MIST); and 3) a theoreticallybased experimental PM task (the Complex Prospective Memory (CPM) task).
Techniques in fractal geometry

Mathematical Background. Review of Fractal Geometry. Some Techniques for Studying Dimension. Cookie-cutters and Bounded Distortion. The Thermodynamic Formalism. The Ergodic Theorem and Fractals. The Renewal Theorem and Fractals. Martingales and Fractals. Tangent Measures. Dimensions of Measures. Some Multifractal Analysis. Fractals and Differential Equations. References. Index.
Chemical Composition and Phytotoxic, Antibacterial and Antibiofilm Activity of the Essential Oils of Eucalyptus occidentalis, E. striaticalyx and E. stricklandii

The Eucalyptus genus (Myrtaceae) is characterized by a richness in essential oils (EO) with multiple biological activities. This study reports the chemical composition and the phytotoxic and antimicrobial activities of the EOs from Tunisian E. occidentalis, E. striaticalyx and E. stricklandii. The EOs were analyzed using GC/MS and their phytotoxicities were assessed against the germination and seedling growth of Sinapis arvensis, Trifolium campestre and Lolium rigidum. Antimicrobial activity was investigated against both Gram-negative (Pseudomonas aeruginosa, Escherichia coli and Acinetobacter baumannii) and Gram-positive (Staphylococcus aureus and Listeria monocytogenes) bacteria. The inhibition of biofilm formation and its metabolism was determined at different times. All EOs were rich in oxygenated monoterpenes (36.3–84.8%); the EO of E. occidentalis was rich in sesquiterpenes, both oxygenated and hydrocarbon (40.0% and 15.0%, respectively). Eucalyptol was the main constituent in all samples. The EOs showed phytotoxic activity on seed germination and seedling growth, depending both on chemical composition and weed. The EOs show a remarkable antibacterial potential resulting in a significant inhibition of the formation of bacterial biofilm and its metabolism, depending on the EO and the strain, with activity on the mature biofilm as well. Therefore, these Eucalyptus EOs could have potential applications both in the food and health fields.
Sensory Marketing Role on Consumer Behaviour on the Market of Selected Food Products, Case Study Slovakia – Mind Genomics

Sensory Experience based on consumer behavior have been used by marketers to develop marketing strategies. The paper deals with how people describe the importance of different sensory experiences as they drive product purchase. The research reported here uses Mind Genomics, an emerging branch of consumer psychology. Respondents evaluated unique sets of 24 different combinations of descriptions about a food store. The descriptions (elements) focused on the foods (produce, meat, beverage) and ambiance in the store. The respondents rated interest in buying based upon the description. The data revealed both the degree to which each element (descriptive term) drove purchase, and uncovered new-to-the-world mind-sets, individual in Slovakia who show different patterns of response to the same elements. The study shows the ability to understand what specific sensory characteristics of the products should be featured in stores, and how the marketer can focus efforts to please customers in the Slovak market.
Efficacy and safety evaluations of anlotinib in patients with advanced non-small cell lung cancer treated with bevacizumab

Objective: The purpose of this study is to evaluate the efficacy and safety of anlotinib in patients with advanced non-small cell lung cancer (NSCLC) who had previously received bevacizumab. Methods: The participants were histopathologically or cytologically diagnosed advanced NSCLC patients whose disease progressed after at least one type of systemic therapy and who had previously received bevacizumab treatment. The patients were on 3-week administration cycles, including 2 weeks on-treatment (12 mg anlotinib oral route, once a day) and 1 week off-treatment. The primary end point of the trial was overall survival (OS). The secondary end points were progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR) and safety. Results: As of the data collection deadline (31 March 2021), 30 patients were enrolled in the study and received anlotinib treatment. All patients were included in the data set except one, who withdrew their consent after the start of treatment. The median follow-up period was 12.1 months (range, 3.6–25.0 months), and 29 patients were included in the evaluation of the treatment. Of the 29 patients, no CR cases occurred. In total, three patients (10.2%) showed a PR, 21 (72.4%) had SD, and five patients (17.2%) had PD. The objective response rate (ORR) was 10.2% (3 of 29 patients), and the disease control rate (DCR) was 82.7% (24 of 29 patients). The median progression-free survival (PFS) was 5.6 months (95% CI, 5.0–6.1 months; Figure 2). The median overall survival (OS) was 10.6 months (95% CI, 9.4–11.8 months; Figure 3). The overall tolerance of the anlotinib treatment was high among the enrolled patients. No treatment-related grade four or five toxicities were observed. Of the 29 patients, one patient’s anlotinib administration was reduced to 8 mg/day due to hypertension and headache. Most adverse events (AEs) were grade one or two; the most common AEs were fatigue (51.7%), hypertension (41.3%), hand–foot syndrome (41.4%), anorexia (34.5%) and hypertriglyceridemia (34.5%). Conclusion: Anlotinib demonstrated favourable activity and manageable toxicity in NSCLC patients who were treated with bevacizumab previously.
Nonlinear empirical modeling using local PLS models

This thesis proposes some new iterative local modeling algorithms for the multivariate approximation problem (mapping from RP to R). Partial Least Squares Regression (PLS) is used as the local linear modeling technique. The local models are interpolated by means of normalized Gaussian weight functions, providing a smooth total nonlinear model. The algorithms are tested on both arti cial and real world set of data, yielding good predictions compared to other linear and nonlinear techniques. Preface This thesisa completes my work for the degree Candidatus Scientarum at the Department of Informatics, University of Oslo. It has been carried out at SINTEF, Oslo during two years from August 1992 to August 1994. My supervisors have been Tom Kavli, at SINTEF, and Nils Christophersen, at the Department of Informatics. I thank them both for valuable guidance and assistance into the world of empirical modeling. I will also thank Glenn Lines for intense and fruitful discussions, Irene Rødsten, Jon von Tetzchner Stephenson, and Svein Linge for careful reading of the manuscript and for correcting my English, Geir Horn and John W. Bothner for helpful hints, and Erik Weyer for explaining obscure mathematical details. A special thank goes to the library at SINTEF for providing all necessary literature. Oslo, August 17, 1994. Lars Aarhus aSet in 12pt Times Roman using LATEX. Drawings made with idraw and plots with MATLAB. i
Planetary Migration in Resonance, the question of the Eccentricities : Les Houches contribution

The formation of resonant planets pairs in exoplanetary systems involves planetary migration inside the protoplanetary disc : an inwards migrating outer planet captures in Mean Motion Resonance an inner planet. During the migration of the resonant pair of planets, the eccentricities are expected to rise excessively, if no damping mechanism is applied on the inner planet. We express the required damping action to match the observations, and we show that the inner disk can play this role. This result applies for instance to the system GJ 876 : we reproduce the observed orbital elements through a fully hydrodynamical simulation of the evolution of the resonant planets.