Miracle-dz/UniFAR-FTUs huggingface dataset:
Disrupt through digital: a study on the challenges faced when digitalizing R&D

Digitalization and automation represent potential sources of disruption to the organization and practice of research and development (R&D). Digitalization has the potential to revo-lutionize future R&D, as digitalized R&D may improve efficiency and minimize risk thus reducing cycle and development times. However, companies expect organizational challenges in their R&D organization when they start to implement and work with digital technologies. Through an in-depth case analysis, we investigate these organizational challenges at Unilever, one of the world’s leading fast-moving consumer goods (FMCG) companies. Three challenges were identified: (1) managerial challenges; (2) behavioral challenges; and (3) digital technology skills challenges. Based on the identified challenges within the context of digitalizing an R&D center, our study provides some practical advice to R&D managers.
Strong convergence of the discontinuous Galerkin scheme for the low regularity miscible displacement equations

Strong convergence of the numerical solution to a weak solution is proved for a nonlinear coupled flow and transport problem arising in porous media. The method combines a mixed finite element method for the pressure and velocity with an interior penalty discontinuous Galerkin method in space for the concentration. Using functional tools specific to broken Sobolev spaces, the convergence of the broken gradient of the numerical concentration to the weak solution is obtained in the L2 norm. © 2016 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 33: 489–513, 2017
Phase-dependent Kerr nonlinearity of a dielectric slab doped by Λ-type atoms

We investigate the linear and nonlinear dispersion and absorption properties of a weak probe field in a dielectric slab doped with Λ-type atoms. The effect of a relative phase between applied fields on linear and nonlinear dispersion, absorption and Kerr nonlinearity is discussed. It is demonstrated that the system is phase sensitive when spontaneously generated coherence and an incoherent pump exist simultaneously. The effect of the coupling field intensity on the Kerr nonlinearity is also presented.
Robust ferromagnetism in Mn-doped MoS2 nanostructures

Layered transition metal dichalcogenides (TMDs) have attracted extensive attention due to their interesting properties originating from an effective honeycomb lattice and strong spin-orbit coupling, and have potential applications in catalysis, lithium batteries, photonic, electronic, and valleytronic devices. Introducing magnetism in the TMDs can lead to the interesting functionalities such as magnetic order and carrier spin polarization with potential applications in spintronics. Here, we demonstrate an effective approach to induce robust ferromagnetism in MoS2 nanostructures by transition metal doping. After doping with a few percent Mn2+, the magnetism of MoS2 nanostructures is enhanced dramatically. Moreover, the magnetic properties are strongly temperature dependent, which is clearly different from the behavior of defect-induced magnetism. Our approach opens up the possibility for tuning the spin and magnetic properties in two-dimensional nanostructures.
Complex Dynamics of a Calcium Oscillation Model in Non-excitable Cells

In order to explain the mechanism of the calcium oscillations induced by the calcium-induced calcium release in non-excitable cells, the Kummer-Olsen calcium oscillation model was proposed. In this paper, by using the qualitative theory, bifurcation theorem and the center manifold theory, the nonlinear dynamics of this model is first characterized, including the stability and classification of the equilibrium points with parameter value. It is shown that supercritical Hopf bifurcations play very important roles in calcium oscillations. Furthermore, some new numerical simulations have confirmed the theoretical analysis results. Based on the existing numerical results with the theoretical analysis, complex dynamics of the Kummer-Olsen calcium oscillation model has been described perfectly. Introduction The calcium ion, Ca2+ plays a very important role in Cellular signal transduction [1]. Since 1980s, calcium oscillations were found experimentally, the role of oscillation for intracellular Ca2+ signaling has become of interest. Many researchers, such as Borghans and Marhl etc. established some mathematical models [2-6] to explain the mechanism of Ca2+ oscillations from experimental point of view, the other researchers made some theoretic analysis and researches about the appearance and disappearance of calcium oscillations based on numerical simulation[6-8]. In 2000[9], one of the important calcium oscillation models in non-excitable cells, the Kummer-Olsen calcium oscillation model was put forward by Kummer and Olsen. In this paper, by using the qualitative theory, bifurcation theorem and the center manifold theory, the nonlinear dynamics of this model is first characterized, including the stability and classification of the equilibrium points with parameter value. It is shown that supercritical Hopf bifurcations play very important roles in calcium oscillations. Furthermore, some new numerical simulations have confirmed the theoretical analysis results. Based on the existing numerical results with the theoretical analysis, complex dynamics of the Kummer-Olsen calcium oscillation model has been described perfectly. The mathematical model and main results The Kummer-Olsen calcium oscillation model is described in [9] as follows: ( ) ( )
Psychodynamic techniques elicit emotional engagement in complex post-traumatic stress disorder

Therapies based on an exposure model have been shown to be effective in the treatment of uncomplicated Post-Traumatic Stress Disorder (PTSD), but less effective when used to treat Complex Post-Traumatic Stress Disorder (CPTSD), because an essential first step in the exposure model is a patient’s emotional engagement with traumatic material. This engagement is prevented by a suppressive/dissociative reaction typical of CPTSD. Several methods of overcoming this suppressive/dissociative reaction have been investigated, but have proved impractical. Familiar psychodynamic techniques appear to circumvent the suppressive/dissociative response and elicit the required emotional engagement in standard clinical settings.
Interaction des tourbillons dans les écoulements plans faiblement visqueux

On sait que l’équation de Navier-Stokes incompressible dans le plan R possède une solution globale unique pour toute donnée initiale dont le tourbillon est une mesure finie, quelle que soit la valeur du paramètre de viscosité [14]. On peut donc être tenté d’étudier le comportement de cette solution dans la limite non visqueuse, au moins sur des exemples représentatifs. Dans cet exposé, on considère le cas très particulier, mais aussi très singulier, où le tourbillon initial est une combinaison linéaire finie de masses de Dirac. On montre alors que la solution faiblement visqueuse se comporte comme une superposition de tourbillons d’Oseen légèrement déformés, dont les centres suivent la dynamique des tourbillons ponctuels de l’équation d’Euler. L’équation de Navier-Stokes dans le plan R s’écrit
Non-invasive blood glucose sensors based on electromagnetic wave

: Low-cost, reusable, highly compliant and non-invasive blood glucose sensors (NIBGS) are necessary for current and future medical systems. This review aims to introduce various NIBGS with wide application prospect and focus on electromagnetic wave-based NIBGS. The main introduction is based on Near-infrared spectroscopy-based, Raman spectroscopy-based and microwave-based sensors. The basic working principle of each type of sensor is explained, and their structure, detection accuracy, detection range and detection site are also summarized. The improvements and impacts made by various types of non-invasive testing applications are also analyzed. Several commonly used performance evaluation methods of non-invasive blood glucose monitoring (NIBGM) are introduced. With the development of electronic device and intelligent algorithms, NIBGM will continue to expand its advantages, and the creation of new practical applications will greatly improve the healthcare environment and bring great convenience to the lifestyle of patients with diabetes.
A reappraisal of amino acids in broiler chicken nutrition

SUMMARY The purpose of the review is to reappraise amino acids in broiler chicken nutrition so that the chicken-meat industry may be better placed to enhance the utilisation of protein and amino acids by broiler chickens. The quest to develop reduced-crude protein diets emphasises the dichotomy between protein-bound and non-protein-bound (synthetic, crystalline) amino acids with respect to digestive dynamics. The successful development and adoption of reduced-crude protein diets will almost certainly demand a superior knowledge of amino acids in broiler chicken nutrition than is presently the case. Consequently, there is a need to identify the shortfalls in our comprehension so that they may be corrected. The intestinal uptakes of amino acids and their transition across enterocytes along the small intestine to enter the portal circulation is an area that is poorly understood. Similarly, this applies to protein turnover and the post-enteral metabolism and partitioning of amino acids into protein body segments. Feathering demands about 10% of dietary amino acids in broiler chickens, but the amino acid profile of feathers is radically different to that of skeletal muscle. The likelihood is that more attention should be paid to the amino acid requirements of feathering, more so when birds are offered reduced-crude protein diets because there is the possibility that preference is given to partitioning of amino acids for feathering. Reduced-crude protein diets hold several potential advantages including reduced nitrogen and ammonia emissions and a decreased dependence on soybean meal as a major source of protein. Hence, the need for a better comprehension of amino acids in broiler chicken nutrition.
Angular and polarization study of flexible metamaterials with double split-ring resonators on parylene-C substrates

This paper presents a tunable and flexible metamaterial with double split-ring resonators arrays fabricated on parylene-C substrates. We numerically and experimentally designed four structures with different angles between the outer and inner split-ring resonators to achieve tunability of the multiband metamaterials and investigated the effect of polarization and incident angle direction of terahertz waves on the transmission spectra of metamaterials. The results show that the first resonant frequency increases slightly when the inner rings rotate, which realizes frequency modulation. The polarization study of the structure indicated that it might be applied as a dual-band amplitude modulation device. Finite-difference time-domain numerical simulations were further conducted to calculate the electromagnetic field as well as surface current distributions at the resonant frequencies. It demonstrated that the two resonant dips are caused by different mechanisms.
Time optimal trajectory generation from polyline with velocity, acceleration and spatial deviation constraints

In this paper is presented a method for generating continuous and differentiable trajectory from an input path described by a polyline while maintaining accelerations and velocities constraints. The method in based on replacing the path corners with parabolic blends of constant acceleration. The complete spatial control of the resulted trajectory is obtained with a velocity reduction procedure which ensures that the trajectory doesn't deviate from the input path further than a settable value. The total time is minimized by replacing the non-maximized constant velocity sections with boost sequences containing maximized symmetrical accelerating and decelerating time frames while also keeping the velocity constraints. The method was successfully tested in practice and the results were very good even on complex input paths.
Numerical study of the reconnection process between magnetic cloud and heliospheric current sheet

In this paper, we have used a three-dimensional numerical magnetohydrodynamics model to study the reconnection process between magnetic cloud and heliospheric current sheet. Within a steady-state heliospheric model that gives a reasonable large-scale structure of the solar wind near solar minimum, we injected a spherical plasmoid to mimic a magnetic cloud. When the magnetic cloud moves to the heliospheric current sheet, the dynamic process causes the current sheet to become gradually thinner and the magnetic reconnection begin. The numerical simulation can reproduce the basic characteristics of the magnetic reconnection, such as the correlated/anticorrelated signatures in V and B passing a reconnection exhaust. Depending on the initial magnetic helicity of the cloud, magnetic reconnection occurs at points along the boundary of the two systems where antiparallel field lines are forced together. We find the magnetic filed and velocity in the MC have a effect on the reconnection rate, and the magnitude of velocity can also effect the beginning time of reconnection. These results are helpful in understanding and identifying the dynamic process occurring between the magnetic cloud and the heliospheric current sheet.
The Sensitivity and Specificity of WHO clinical Staging in Predicting Cd4 Cell Counts in HIV Infected Patients at the Police Hospital in Accra, Ghana

Introduction : Initiating an HIV positive client on ART is an important step in the care of PLHIV. Due to a shortage of CD4 machines and reagents, the WHO clinical staging guideline is widely used to determine when to initiate ART in developing countries.Objective : To determine whether WHO clinical staging is predictive of CD4 of 350 in initiation of ART in patients presenting at the Police Hospital ART clinic.Methods : We reviewed the records of clients on ART, from 2010 to 2012 and compared the WHO clinical staging and CD4 counts at their first visit to the clinic. Pregnant women, hepatitis B infected patients and children below fifteen were excluded from the study.Results : Two hundred and five PLHIVs were eligible for inclusion in the study. Sensitivity of the WHO Clinical staging to predict initiation of ART was 44% and specificity 87%. Positive predictive power was 83% and Negative predictive power was 51%. Conclusion : Almost 50% of those needing ART as per CD4 count were classified as WHO stage 1 or 2. This means that about half of those deemed not qualified to start ART by WHO clinical staging actually needed to be initiated on ART. Access to CD4 machines andreagents must be increased to minimize delay in start of treatment for patients.
Utilization of Mining Rock Wastes as Antibacterial Agents Against Gram Positive Bacteria

Abstract In this investigation, samples of mining dolomite wastes were collected from Abu Tartur phosphate mines, Egypt. The samples were thermally decomposed to MgO/CaO mixture as evidenced by X-ray diffraction (XRD) and scanning electron microscopy (SEM). The MgO/CaO combination mixture was utilized in this study as an antibacterial agent against Bacillus cereus, Staphylococcus aureus, and Staphylococcus epidermidis. Antibacterial experiments have revealed that the MgO/CaO combination was more effective against Bacillus cereus, Staphylococcus aureus, and Staphylococcus epidermidis. For the three bacterial strains, the minimum inhibitory concentration (MIC) of the tested mixture was found to be 1.0 µg/mL. Acridine Orange pictures, which helped to explain the high occurrence of dead cells, and were utilized effectively to record the effect of MgO/CaO, which was employed in this investigation on the bacterial growth. Taking into consideration, MgO/CaO combination was found to be very interesting candidate material for bacterial disinfection due to its simplicity of synthesis, low cost, low release rate, and as excellent antibacterial activity.
The PICO Framework for Analysis and Design of Production Systems for Construction

PICO is a framework that provides a conceptual guide for production system analysis and design in the construction industry. It has four key components: Production control mechanism, Information and communication system, Commercial terms, and Organizational structure. Each component is highly interdependent and has a set of detailed parameters and enumerated values. A comprehensive literature review, case studies, and analysis highlighted the knowledge gaps in current production system design frameworks. The PICO framework was originally devised to design a production system suited for short-takt production in residential construction, but it has been developed into a comprehensive mapping tool for the design and analysis of construction production systems in general. The paper shows an application of the framework to a takt system as a case study and an example of its application. The framework expands the current understanding of production systems in construction, offering new insights and a comprehensive approach to designing new production systems.
Flower-Visiting Insects Ensure Coffee Yield and Quality

(1) Background: The participation of insects in the pollination of self-pollinating plants, such as coffee, is still controversial. This study determined the effect of flower-visiting insects on coffee berry set, yield, and quality. (2) Methods: Over 2 years, five evaluations in different locations, dates, and harvest times were carried out. Each evaluation consisted of eight treatments with 50 replicates each, arranged in a completely randomized experimental design. Treatments were established to identify the contribution of insects, wind, gravity, self-pollination, and cross-pollination to coffee yield and quality. (3) Results: The insects contributed 16.3% of the berry set, 26.9% of the berry coffee yield, and 30.6% of the weight of supremo-type beans. No differences were observed in the sensory quality of coffee produced with or without insects. For stigma receptivity, results indicate that there is a 6.3% probability of self-pollination during pre-anthesis. (4) Conclusions: The species Coffea arabica, despite being a self-pollinating plant, benefits from the presence of flower-visiting insects. During anthesis, arabica coffee flowers are ready for cross-pollination.
Applications comparées des méthodes d'analyse multicritère UTA

Among the many multicriteria methods by total aggregation the UTA method proposed by Jacquet-Lagreze and Siskos has the advantage of allowing the estimation ofa non-linear additive utility function. However this method comes up against a problem of multiple solutions for the calculated weights of the utility function. When it comes to evaluating and classifying projects which are not part of the reference set the classifications of those projects will then depend on the chosen function. This problem has already been discussed in the litterature in the case where the utility function cannot be estimated without errors. However, few of the solutions advanced in that context can be applied to the case where the estimation is without errors. This problem of multiple solutions and of predictive quality of the UTA method is analysed in the present paper, using as an example of application the classification of road investments projects. First of all, we propose to use an optimal fractional experimental plan as reference set. Then, we study different possible variants of the method and propose a new one which, maximising the smallest differences between the utilities of the projects, allows to reduce very strongly the domain of possible solutions.
The Effect of Political Contestation on Investor Reaction: Evidence from Indonesia Sharia Stock

Political events can cause uncertainty in the business environment and affect stock returns. This study aims to examine the reaction of sharia stock investor to political events in 2019. Some previous studies found that the influence of political events in Indonesia on investors' reactions is not yet conclusive. Therefore, this research utilized five political events during the general election they are: candidates inauguration, candidates’ final debate, quick count announcement, Election Commission (KPU) announcement, Constitutional Court (MK) announcement. This research used cumulative average abnormal return (CAAR) and average abnormal return (AAR) values as indicators in detecting investor reactions and used actively traded stocks listed on the Indonesian Sharia Stock Index (ISSI) from 2017 to 2019. The results of this study indicate that there is a negative reaction on t-1 before the debate of candidates. Furthermore, the opposite results occurred during the announcement of the presidential election results conducted by the Election Commission (KPU). This result indicates that investors quickly get information about political uncertainty. The implication is that political events are one of the relevant event studies to determine sharia stock prices to investors.
A Generalized Constitutive Equation with Distributed Order Derivative for Viscoelastic SolidA Generalized Constitutive Equation with Distributed Order Derivative for Viscoelastic Solid

In order to generalize the Kelvin-Voigt model describing viscoelastic solids, we present a constitutive equation with distributed order derivative. Using the Laplace transform and its numerical inverse, we consider the creep compliance, creep recovery, relaxation modulus, and stress response to harmonic deformation. The results show that the constitutive equation indeed characterizes viscoelastic solids and is a generalization of the Kelvin-Voigt model. Meanwhile, we discuss the effect of the modelling parameter on viscoelasticity.
4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification

Sleep staging serves as a critical basis for assessing sleep quality and diagnosing sleep disorders in clinical practice. Most existing methods rely solely on a single channel for sleep staging, thereby neglecting the complementary nature of multimodal electrophysiological signal characteristics. In contrast, the current multi-stream sleep staging network primarily utilizes electrooculogram (EOG) and electroencephalogram (EEG) signals as inputs and efficiently fuses the extracted multimodal features. However, the importance of motion information in electrophysiological signals is rarely investigated, which could improve the classification performance. Moreover, recent sleep staging models have been plagued by issues of overparameterization and suboptimal classification accuracy. Moreover, EOG and EEG are non-Euclidean graph-structured data that can be effectively handled by graph convolutional networks. To address the aforementioned issues, we propose an efficient graph-based multi-stream model named 4s-SleepGCN, which combines biological signal features to classify sleep stages. In each single-stream model, the positional relationship of the modal sequences is incorporated into the proposed model to enhance the feature representation for sleep staging. On this basis, graph convolutions are utilized to capture spatial features, while multi-scale temporal convolutions are employed to model temporal dynamics and extract more discriminative contextual temporal features. The EEG signal, EOG signal, and corresponding motion information are separately fed into the single-stream model comprising our 4s-SleepGCN. Experimental results show that the proposed 4s-SleepGCN achieves the highest accuracy compared to state-of-the-art methods in both the Sleep-EDF-39 dataset (92.3%) and Sleep-EDF-153 dataset (85.5%). Additionally, we conduct numerous experiments on two representative datasets that demonstrate the validity of the motion modalities in sleep stage classification. Also, the proposed single-stream network shows higher accuracy (89.2% and 89.8%) in classification while requiring 33% fewer parameters. Our proposed 4s-SleepGCN model serves as a powerful tool to assist sleep experts in assessing sleep quality and diagnosing sleep-related diseases.