Miracle-dz/UniFAR-FTUs huggingface dataset:
Propriétés biophysiques des cardiomyocytes vivants en condition physio/ physiopathologique et architecture des récepteurs couplés aux protéines G explorées par microscopie à force atomique

L'insuffisance cardiaque est un reel probleme de sante publique avec 1 millions de patients souffrant de cette pathologie cette annee en France. Elle est definie incapacite de fournir un debit sanguin suffisant a l'organisme. Cette diminution de debit est traduite par la perte de fonction contractile du coeur provoque par la necrose des cellules responsable de cette fonction : les cardiomyocytes. Dans cette etude j'ai pu etudier les modifications topographiques et biomecaniques de la membrane du cardiomyocyte vivant en amont de sa rupture lors de la necrose, par une technologie issue des nanosciences : la microscopie a force atomique (AFM). Mes travaux ont fait apparaitre une membrane tres structuree chez le cardiomyocyte sain et une perte de cette architecture dans un temps precoce de l'installation de l'insuffisance cardiaque. L'utilisation de la microscopie electronique a transmission a montrer que les anomalies mises en evidences par AFM ont pour origine un rearrangement mitochondriale. Dans une seconde etude je me suis interessee a l'organisation oligomerique d'une famille particuliere de recepteur transmembranaire, les recepteurs couples aux proteines G. Ces proteines sont une des cibles privilegiees pour les traitements pharmacologiques de l'insuffisance cardiaque tel que le beta-bloquants et les vasodilatateurs. Ce mecanisme d'oligomerisation pourrait etre la clef des effets secondaires lies a ces traitements. Afin d'etudier la conformation oligomerique, j'ai utilise la spectroscopie de force a l'echelle de la molecule unique pour mettre en evidence differentes populations oligomerique de ces recepteurs sur la surface membranaire. Les resultats ont montre une distribution des populations oligomeriques en fonction des conditions (densite de plasmide codants pour les recepteurs/stimulation avec agoniste synthetique ou naturel). Il est possible qu'il y ait une regulation des voies de signalisations par l'oligomerisation des recepteurs actives. La difference d'activite possible de chaque population oligomerique (monomere/dimere/tetramere/hexamere) semble etre une explication plausible aux effets secondaire des agents pharmacologique. Mes travaux de these ont permis la mise en evidence de nouvelle piste par une technologie innovante, la microscopie a force atomique, dans le traitement de l'insuffisance cardiaqu
Assessing the Feasibility of Replacing Subjective Questionnaire-Based Sleep Measurement with an Objective Approach Using a Smartwatch

In order to ensure sufficient recovery of the human body and brain, healthy sleep is indispensable. For this purpose, appropriate therapy should be initiated at an early stage in the case of sleep disorders. For some sleep disorders (e.g., insomnia), a sleep diary is essential for diagnosis and therapy monitoring. However, subjective measurement with a sleep diary has several disadvantages, requiring regular action from the user and leading to decreased comfort and potential data loss. To automate sleep monitoring and increase user comfort, one could consider replacing a sleep diary with an automatic measurement, such as a smartwatch, which would not disturb sleep. To obtain accurate results on the evaluation of the possibility of such a replacement, a field study was conducted with a total of 166 overnight recordings, followed by an analysis of the results. In this evaluation, objective sleep measurement with a Samsung Galaxy Watch 4 was compared to a subjective approach with a sleep diary, which is a standard method in sleep medicine. The focus was on comparing four relevant sleep characteristics: falling asleep time, waking up time, total sleep time (TST), and sleep efficiency (SE). After evaluating the results, it was concluded that a smartwatch could replace subjective measurement to determine falling asleep and waking up time, considering some level of inaccuracy. In the case of SE, substitution was also proved to be possible. However, some individual recordings showed a higher discrepancy in results between the two approaches. For its part, the evaluation of the TST measurement currently does not allow us to recommend substituting the measurement method for this sleep parameter. The appropriateness of replacing sleep diary measurement with a smartwatch depends on the acceptable levels of discrepancy. We propose four levels of similarity of results, defining ranges of absolute differences between objective and subjective measurements. By considering the values in the provided table and knowing the required accuracy, it is possible to determine the suitability of substitution in each individual case. The introduction of a “similarity level” parameter increases the adaptability and reusability of study findings in individual practical cases.
A variational principle for surface waves in magnetohydrodynamics

A variational principle for the motion of the interface between an infinitely conducting fluid and a vacuum magnetic field is given. This variational principle not only gives the Laplace equation governing the velocity potential and the magnetic-field potential, but also provides all the boundary conditions appropriate to the interface between an infinitely conducting fluid and a vacuum magnetic field. However, unlike the hydrodynamical case, this variational principle does not have the simple physical interpretation of the stationarity of the fluid pressure + magnetic field pressure. An expression for the pressure was used by Bateman [1] as the Lagrangian and the equations of motion in an inviscid, incompressible fluid were derived from a variational principle. Luke [4] showed that a simple extension of this variational principle also provides the boundary conditions appropriate to a free surface. Debnath [2, 3] reformulated the full set of equations of motion for the surface-wave problem in magnetohydrodynamics, and made an initial-value investigation of the twoand three-dimensional dispersive surface waves in an electrically conducting fluid with a free surface. It is of special interest to consider a variational principle for the two-dimensional surface waves in magnetohydrodynamics, and to derive the full set of equations of motion used by Debnath [2] and Shivamoggi [5]. The purpose of this note is to give a variational principle for the motion of the interface between an infinitely conducting fluid and a vacuum magnetic field. This variational principle not only gives the Laplace equation governing the velocity potential and the magnetic-field potential, but also provides all the boundary conditions appropriate to the interface between an infinitely conducting fluid and a vacuum magnetic field. However, unlike the hydrodynamical case, this variational principle does not have the simple physical interpretation of the stationarity of the fluid pressure + magnetic field pressure. Consider an infinitely-conducting fluid of density p subjected to a gravitational field g = — giy and confined in the region 0 < y < h by a vacuum magnetic field H. Then the variational principle is
THE ROLE OF OMNIBUS LAW IMPLEMENTATION ON THE WOMEN WORKERS PROTECTION: AN DESCRIPTIVE ANALYSIS OF LABOR LAW IN INDONESIA

– Regulatory problems and disharmony of laws and regulations in labor law in Indonesia have forced the government to reform regulations through the omnibus law which aims to reduce the unemployment rate in Indonesia. The concept of a rule of law (rechtsstaat) adopted by the state Indonesia includes the protection of human rights as well as legal certainty and based on the law. Economic development is very important for increasing the level of social welfare. The existence of the Omnibus Law actually has a negative impact on the Indonesian workforce, especially for women workers. Women workers as a vulnerable group of people are the object of study in this study. The purpose of this research is to find out the complexity, implications, and conception of the omnibus law for the protection of female workers in Indonesia. The research method used is descriptive-analytical, namely by providing an overview of actual problems based on concrete facts. The conclusions from this study are directed at the government to better protect workers belonging to vulnerable groups of society, especially women in the future regulation of the omnibus law. Working women are the most affected group of workers. The results and findings of this study find a bright spot, namely where the omnibus law specifically only benefits investors or corporations and forgets about fulfilling workers' rights, one of which is reducing minimum wages and termination of employment without demands.
Propagation effects in atomic systems for ultrashort and long pulses: Control of the optical response

This thesis deals with the study of propagation effects experienced by weak light pulses as they propagate in atomic media driven by strong pulses. We explore both the ultra-short and long pulse regime and investigate the phenomena that arise at these different time scales. In the short pulse regime, a strongly driven two level atomic system presents transient light shifts, and non-adiabatic transitions occur between these adiabatic levels. We have studied a method to probe these light shifts in real time by propagating a weak probe through the medium. The light shifts enrich the spectrum of the probe and the probe gets shaped as a result. In this way a strongly driven two-level system can act as an active pulse shaper, and can introduce oscillations in the temporal profile of an ultra-short pulse at a time scale shorter than the pulse duration. We also show that by driving the system with two time delayed non-resonant strong fields, the non-adiabatic effects can be rendered phase dependent. This gives very sensitive phase control of the excited state population and can be used to formulate new techniques in interferometry. In the long pulse regime we present a new method of slowing light that can be realized in a double two-level system interacting with two orthogonally polarized light pulses that propagate along different axis. Spatio-temporal dependence of the total polarization induces a grating in the ground Zeeman coherence. The stronger of the two fields (the control field) is diffracted from this grating into the direction of the weak probe field compensating for the absorption of this latter field. A transparency window is thus created in the absorption spectrum of the probe leading to the slowing down of light. The transparency window exhibits characteristics similar to the one obtained by EIT (electromagnetic induced transparency) method. However, the important difference between our method and the traditional EIT method, is that ours doesn't rely on realizing dark state in the system. This may open the possibility of slowing down light in more complex atomic media. Moreover, when the linear absorptive response of the medium is cancelled in this manner, the nonlinear response becomes more important. In the situation where fields propagate in the same direction and have same frequency, two regimes have been investigated. For small optical depths, the effective susceptibility behaves as chi_lin exp[2 i phi] (with phi the phase difference between two fields). This renders phase control of the medium response, and the medium can be changed from an absorber to an amplifier, with normal or anomalous dispersion, by adjusting the relative phase phi.  In the regime of large optical thickness, phase saturation takes place and the effective susceptibility turns into chi_lin*, changing an absorber into an amplifier without effecting the dispersive response (chi_lin is linear susceptibility).
An Original Way of Looking into Obedience and Disobedience: Different Genders Facing Different Kinds of Authorities

Various experiments about obedience and disobedience to authority have been taken place in the past decades. However, it is a brand new task for academics where genders and types of authorities are on cross analysis. Are female more likely to obey to educated professionals or severe dominators? Will genders affect people’s attitudes to the governors? In this work, an experiment is designed based on Milgram’s original experiment of obedience, in order to answer the answers previously mentioned. Different reactions from different genders will be tested when they are facing prestige or dominance authorities separately. The method of testing level of obedience is altered from the original electric shock experiment taken by Milgram to a new method of using hot sauce to measure participants’ obedience to authorities. The hypothesis in existence sug-gested that females will show a higher level of obedience to dominance authorities rather than prestige authorities, and their obedience to dominant authorities will be relatively high comparing to males, while males will show a higher level of obedience to prestige authorities than dominant authorities, and showing relatively high obedience to prestigious authorities. This work aims to show a new way to understand gender difference in behaviors, and wish to open a gate of behaviour study and gender cognition study.
FAVAR (Factor-Augmented Vector Autoregression) Modeli Literatür Taraması

In the Vector Autoregressive (VAR) models, which are widely used in economic studies and developed by Sims (1980), impulse response functions can only be obtained from variables included only because of the infrequent use of information sets, and the dimensions of structural shocks can not be measured precisely. It is also not possible that for some variables to be represented by a single time series. The VAR estimation is insufficient for parsing operations involving large data sets. FAVAR (Factor Augmented Vector Autoregression) method was developed by Bernanke, Boivin and Eliasz (2005) and this method can use large data sets. In this study, FAVAR method is tried to be explained by comparing with VAR, and a literature search is being conducted in this subject.
Efficacy of Traditional Chinese Veterinary Medicine in the Treatment of Cognitive Dysfunction: A Systematic Review and Meta-Analysis

The objective of this systematic review study was to assess the efficacy of traditional Chinese medicine (TCM) or traditional Chinese veterinary medicine (TCVM) in the treatment of cognitive dysfunction. The study considered the similarities in Alzheimer’s disease (AD) and canine cognitive dysfunction (CCD). The initial literature search resulted in 573 relevant clinical and nonclinical studies. Three categories of controlled clinical trials in AD patients were selected for review: placebo control (20), conventional medicine control (126), and integrated treatment (183). The studies were reviewed and those that met the inclusion criteria were selected for meta-analysis. The review found that 10 placebo-controlled studies, 38 conventional medicine-controlled studies, and 38 integrated studies were qualified for meta-analysis. In placebo-controlled studies, meta-analyses based on improvements in Mini-Mental State Examination (MMSE) and Alzheimer’s Disease Assessment Scale-cognitive subscale (ADAS-cog) found statistical significance in the MMSE (p=8.74×10-7), ADAS-cog (p=0.0085), and overall p-value (p=3.66×10-17), suggesting that the TCM treatments were significantly more effective than placebo. In conventional treatment-controlled studies, results from the meta-analyses also suggest that TCM treatments were significantly more effective than conventional treatments based on the overall p-value (p=1.67×10-23) and improvement in MMSE (p=0.0002). In the integrated treatment studies, the meta-analyses findings suggest that TCM-integrated treatments were significantly more effective than conventional treatments alone (overall p-value: p=1.82×10-48 and p=0.0050 in MMSE improvements). Based on this systematic review and considering the similarities in pathology in the human and canine, TCVM may be helpful to lessen suffering and improve the quality of life in patients with canine cognitive dysfunction.
Integrating the Maximum Line Gradient Value Improvement and the Level Set Method Variation to Detect Face Sketch Multi-Features

Deformable model is algorithm used to represent non-rigid object, but only a few researchers that work using different modality, where photograph images as training set and sketch images as testing set. “Face sketch multi features detection based on the line gradient and the adaptive shape variants average values method” is one example of deformable model. It has the weakness, incapacity to move shape toward its corresponding feature, when shape lies on the same gradation. In this paper, we proposed method to simultaneously move shape, when shape can not move on the same gradation. To overcome difference of scaling, translation on testing set, we have enhanced landmark initialization by adjustment scaling and translation of training set as landmark initialization. Shape will be moved based on integrating maximum line gradient improvement and the level set method variation. We have employed 100 face photographs as training set and 100 hatching face sketches as testing set. For each testing set, we tested by using 7 shapes of 28 landmarks. The experimental result shows that percentage of detection rate is 89.79%.
Pseudomonas putida in Industrial Biotechnology: Recent Advances and Future Directions

Gram-negative, rod-shaped Pseudomonas putida bacteria may be found in a variety of biological environments. This ubiquity can be attributed to its extraordinarily adaptable metabolism, ability to endure physicochemical stress, and propensity to survive in unfavorable conditions. These traits have led to an increase in interest in microorganisms for industrial usage, also associated with studying has advanced quickly in recent years. Strong motivators in this regard include use of inexpensive waste streams and sustainable feedstocks for manufacturing with added value compounds along with continual advancement of Systematic biology of this bacterium and genetic strain engineering. Here, provide a summary of current developments and future directions P. putida is used as a cell factory in genetic engineering, computer systems, and synthetic biology.
Proteus: An Extensible RISC-V Core for Hardware Extensions

We present Proteus, an open-source RISC-V processor designed to allow rapid prototyping and evaluation of hardware extensions. This goal of making it easy to extend the processor’s functionality and change its microarchitecture is enabled by making Proteus conﬁgurable in many parameters and using a plugin system for its functionality. Building on these plugins, Proteus features textbook implementations of an in-order and an out-of-order pipeline. We implement Proteus in SpinalHDL, which generates Verilog code that can run in a simulator or be synthesized to an FPGA, enabling rapid development and testing. This paper brieﬂy introduces the processor’s design and showcases hardware security extensions implemented on Proteus.
Social, production and economic characterization of dried green pepper production in the micro-region of El Oro, Durango, Mexico

This paper aims to analyze the production, transformation, and marketing system of dried green pepper in the microregion of El Oro, Durango, identifying its problematic and complex cause. For this purpose, information was collected from 30 growers, 16 consumers, and 10 marketers for analysis using descriptive statistics, social network analysis, and the problem tree approach. Our results indicate that the production system has three main stages: i) primary production is yielded by a familiar farm system where the participation of unpaid labor is high; ii) processing, which consists of roasting and drying; the average yield was of 130 kg per year; iii) marketing, which was characterized by not being the main source of income for families. The central problem related to sales is that growers are not taking advantage of the potential to increase sales in alternative markets, observing effects such as low yield and unsatisfied demand. However, due to the sample size, the results obtained are only exploratory. It is concluded that there is a need for management innovations that allow for creating functional organizations for growers, which generate competitive advantages for accessing new markets.
Schedule Optimization for Cash Flow Management of Owner Portfolios

Although new infrastructure has been widespread in many countries, the owners' main obstacle to complete new projects has been the cash flow problems. If cash flow problems are not appropriately addressed, projects will undoubtedly fail. The current study’s goal is to help portfolio owners to avoid cash flow problems and achieve portfolios’ goals. A modified finance-based scheduling method is proposed to optimize project schedules within owners' portfolios using genetic algorithms (GA). Finance-based scheduling helps owners to control portfolios’ cash flow by balancing contractors’ payouts during the fiscal years with the available budget amounts. The random key (RK) representation system of GA is used effectively to implement finance-based scheduling for multiple projects simultaneously.
Fractional Imputation for Ordinal and Mixed-type Responses with Missing Observations

This thesis addresses two essential aspects of large scale public-use data files involving ordinal and mixed-type responses with missing observations: (i) the creation of single complete data sets with imputation for missing values; and (ii) the statistical analysis of imputed data sets by public data users with different objectives. Large scale data sets are typically collected by statistical agencies, research institutes or commercial organizations and missing observations are a common feature. Our research focuses on scenarios where one ordinal response or several mixed-type responses are part of the data sets and are subject to missingness. We develop a sequential regression fractional imputation procedure to create single complete data sets which provide valid and efficient statistical analysis for commonly encountered inferential problems by public data users. Ordinal variables are widely collected and analyzed in many scientific fields. They share some common tools with discrete data analysis but have much richer structure to explore as compared to general categorical variables. More importantly, statistical methods developed for ordinal variables can be readily extended to cover categorical data. In this thesis, we present the sequential regression fractional imputation strategy through three major research projects, starting from ordinal variables and extending to mixed-type responses. The proposed method takes into account unique features of ordinal responses and is theoretically sound and practically appealing. The first project considers a simple scenario where there is only one ordinal response with missing values. We provide detailed steps for the proposed imputation procedure and develop asymptotic properties of subsequent estimators derived under a general setting. We discuss in great detail three inferential problems of practical importance: (1) estimation of category probabilities; (2) regression analysis using all available covariates; and (3) regression analysis involving a subset of all the covariates. For each problem, the proposed procedure is compared with existing alternative methods in terms of validity and efficiency of the analysis. Finite sample performances are demonstrated through simulation studies. The second research project extends the proposed procedure to more complex scenarios where multiple variables of mixed types, including continuous, ordered and unordered categorical variables, all contain missing observations. We outline the key steps for the sequential regression fractional imputation procedure under general