Miracle-dz/UniFAR-FTUs huggingface dataset:
Engineered Fe3O4-based nanomaterials for diagnosis and therapy of cancer

Malignant tumor is one of the major public health problems seriously threatening the health of people all over the world. Great effort is being devoted to the development of theranostic nanoplatforms to satisfy the demand for precise diagnosis and efficient therapy. Recently, the Fe3O4 nanoparticles (NPs) approved by the Food and Drug Administration (FDA) have been extensively explored in cancer diagnosis and the administration of therapeutic drugs thanks to their unique properties such as T1/T2-weighted magnetic resonance (MR) imaging, magnetic targeting, magnetic hyperthermia, and photodynamic/photothermal therapy. Thus, Fe3O4 NPs together with other organic or inorganic materials are developed as theranostic nanoplatforms, thereby having the chance to compete with Gd-based contrast agents in clinics. Therefore, Fe3O4-based theranostic nanoplatforms have the potential to be used in individual therapies in the near future. In this review, the recent progress in fabricating Fe3O4-based theranostic nanoplatforms is summarized and their applications in biomedical area are also highlighted.
Die geschlechtsspezifische Bedeutung von Isoformen der NO-Synthase für die Ang-(1-7) modifizierte Langzeitpotenzierung in der lateralen Amygdala

XV 1 Einleitung . 1 1.1 Die Amygdala, Bedeutung . 1 1.2 Die Amygdala, Anatomie . 3 1.3 Afferente und efferente Verbindungen. 5 1.4 Furchtkonditionierung . 6 1.5 LTP . 9 1.6 ZNS Renin-Angiotensin-System . 12 1.7 NO-System . 15 1.7. 1 Verteilungsmuster der nNOS und eNOS . 16 1.7. 2 Molekulare Signaltransduktion NO-vermittelter Effekte . 17 1.7. 3 Kooperative Verbindung zwischen NO und Ang-(1-7) . 21 1.7. 4 Forschungsergebnisse zum NO-System und ihre Abhängigkeit vom . experimentellen Paradigma . 22 1.8 Geschlechtsdimorphismus in der neuronalen Architektur und dessen Bedeutung . für die Forschung . 23 1.9 Zielund Fragestellung . 26 2 Methoden . 31 2.1 Versuchstiere . 31 2.2 Narkose und Präparation . 31 2.3 Versuchsaufbau . 32 2.3. 1 Messkammer . 32
From Interactivity to Brand Preference: The Role of Social Comparison and Perceived Value in a Virtual Brand Community

The main purpose of the paper is to examine whether and how perceived interactivity in a virtual brand community affects brand preference to realize the sustainable development of the brand. In this study, we propose and empirically test a theoretical model by analyzing data collected from online brand community members in China. The study confirms that (1) perceived interactivity has a positive effect on social value, emotional value, and informational value; (2) social value, emotional value, and informational value positively influence brand preference; (3) upward social comparison positively moderates the impact of perceived interactivity on social value, while downward social comparison negatively moderates the impact of perceived interactivity on social value. This study has highlighted the role of perceived interactivity in a brand community in promoting brand preference. We believe that the findings offer reliable and important insights for research and practice of brand management.
Optimal Quantum Control Theory

This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.
Impact from Early Rings on Rings of Maladjustment in Autism

In ASDs, starting with genetic vulnerabilities which may arise from adaptive mental edging changes on one hand, and perturbed microbiota-gut-brain axis on the other hand, the prenatal setup forms a body core that is in general labile and prone to both mental and physical conditions with functional impairments. The internal processes and external behavior of the brain and body in a self-organized system are mal-set as developmental atypicalities with notable mood and disruptive behavior problems in the neurodevelopmental domain. Modified neuronal networks since early-life depend on the environment and energy/resources provision as well as individual potential and self-regulatory setup for remodeling for emotive or motive activities as these contribute to social engagement, cognitive, social, and emotional growth. The postnatal makeup in ASD is altered during the stages of development from both mental and physical impairments whereby a complexity of atypicalities is developed. Layer upon layer, the rings on rings of maladjustments impair matching capabilities, starting early with visuomotor coordination impairment, suboptimal resource functioning, guarded food selectivity, with related defensive behavior, atypical reward-seeking behavior, and self-stimulatory drives depending on severity. More atypicalities may be derived and evolve further with related guarded social behavior, altered emotion-guided attention in ASD children that may evolve into emotion-evading behaviors, and altered self-relevant reward system that dampens the rewarding nature of social interaction and cognition. Depending on the degree of involvement, this early setup from both mental and physical causality leads to the final ASD symptom complex. This reemphasizes the consideration of physical functional problems, which isolated consideration could have distracted past studies with all along difficulties for finding pathogenesis of ASD. This paper describes the whole problem where the parts aggregate into rings, when rings locked in with another ring, to understand from the parts how they make up the whole
Teaching Lebanon’s Politics in Times of the Uprising

This article looks at Lebanon’s October 17 uprising from the vantage point of teaching in academia when classes were suspended and students were no longer meeting in the classroom to participate in a course of high relevance aiming to address and unpack the unfolding events on the streets. It argues that an engaged academic should not only preach to the converted but, more importantly, should account for those who feel disempowered or estranged, indifferent to “politics in action,” alienated for political reasons, or opposed to the protests.
A discrete repetitive sliding mode multicontrol for non-linear systems

The identification and the design of an accurate control are still an active researches of nonlinear systems subject to harmonic disturbances. In this paper, we propose two techniques to deal with nonlinear system identification and control problems. First, a new identification scheme based only on input/output measurements is proposed. In this scheme, an adaptive filter is used to extract the periodic disturbance and the non-perturbed system dynamics from the real output. Then, a multimodel approach is adopted to obtain the models base of the real non-perturbed system. Secondly,the models base is used to develop a multi-model sliding mode control (MM-SMC). Thereafter, the structure of plug-in repetitive control is incorporated into the MM-SMC to ensure good closed loop performances in terms of harmonic disturbance rejection and tracking in the case of nonlinear systems. Simulation results of two numerical examples shows the effectiveness of the proposed identification and control strategies in spite the presence of nonlinearities and harmonic disturbances.
Intracell Frequency Band Exiling for Green Wireless Networks: Implementation, Performance Metrics, and Use Cases

The substantial increase in the number of base stations (BSs) compels researchers to focus on spectral efficiency (SE) and energy efficiency (EE) in wireless networks. To this end, we propose an intracell frequency band exiling (ICE) technique as a promising solution for green wireless networks. In the proposed technique, operating frequency bands of mobile users are assigned from upper frequency bands (UFBs) to lower frequency bands (LFBs) by suitably adjusting their coverage area to provide energy-efficient communications. To do this, we derive ICE probabilities on a log-normally distributed traffic model and calculate the EE and area SE (ASE) considering the power consumption model. The simulation results demonstrate that the ASE can be improved by increasing the traffic density. However, increasing the traffic density does not improve the EE beyond a certain threshold. Therefore, we present the tradeoff between EE and ASE and provide an optimum operating point. In addition, we show the ICE performance to be better than that of the existing cell-zooming (CZ) technique, unveil the ICE relation with beyond-5G (B5G) networks, and, finally, provide a cell-exiling manager system to illustrate the applicability of the proposed technique for various implementations.
Temperature Inversion and Ultrafine Particulate/Near Ultrafine Particulate Matter Concentrations in the Salt Lake Valley

Ultrafine particulate (UFP) matter exposures are associated with negative health outcomes. UFPs (<100nm) and near UFP (NUFP) matter (4.5nm - 250nm) are trapped by the bowl-like geography of the Salt Lake Valley causing winter inversions (i.e., trapped particulate matter (PM)). Enmont PUFP C100 and Grimm 1.109 particle counters were used to define NUFP concentrations during inversion (n=5) and non-inversion (n=5) days at 7 sites. NUFP concentrations served as a proxy for the UFP fraction. NUFP concentrations were log-transformed and multivariable mixed effects linear regression models determined if NUFP concentration differed between inversion and non-inversion or by length of inversion. Difference in fraction NUFP was also analyzed. The mean NUFP concentration was 1.49-fold higher during inversions (95% CI 1.11–2.02), whereas the fraction declined by 0.22 (95% CI -0.31– -0.13). Increased NUFP concentrations during inversions may lead to increased adverse health outcomes. These findings have serious implications for inversion-prone regions.
Quality of Service Optimization based on HRM: A Case Study in Cameroonian Public Service

The search for a better quality of service in a changing environment requires governments to have more flexibility in the organization of work, a good grasp of emerging technologies and also a better consideration of human resources. The effectiveness of these resources will be even greater if they have the feeling of contributing in the search for solutions on new ways of producing services. Faced with economic, social and technological challenges, the quality of human resource management is a key success factor. The human resources management policy is often seen as less innovative and not dynamic; though many experts argue that improving quality of public service requires putting in place a stimulating human resource management, effective and motivating to state agents. Therefore, human resource management is seen as key with respect to competitiveness of administrations. The basis of optimal management of human resources depends on a good appointment policy to workposts. Indeed, governments in developing countries do not always produce the desired quality of service, for most human resources are not allocated according to their skill. While it is true that developing countries have embarked on extensive reform projects on the simplification of administrative procedures, it is especially important that a good policy be defined in order to assign skilled resources at work-posts in order to better perform those simplified procedures. However, it has been shown that the assignments and appointments, although discretionary in the public administration, are made arbitrarily and do not always permit to have the appropriated human resources at the appropriated places. Based on administrative business process modeling, this paper presents a protocol to ensure optimum assignment of human resources at work-posts in order to improve quality of service in public administration. For a given work-post, the protocol lists all human resources able to occupy this work-post by level of competence and experience in order to facilitate the choices of decision makers.
Fiscal Deficit Sustainability and Fiscal Policy Persistence In The West African Monetary Zone

The Economic Community of West African States launched the name of its proposed currency, eco, in June, 2019 for its proposed monetary union. The Regional body stipulated certain convergence criteria to be met before member countries could be admitted to the proposed union. One such criteria is that the budget deficit-to-Gross domestic product ratio be less than or equal to three percent. Available data for the past two decades indicate the non-compliance of many of these West African countries to this condition despite having control over both fiscal and monetary policies. This study investigates the sustainability of fiscal deficits in a group of six countries known as the West African Monetary Zone. This study has two objectives: First, to investigate the sustainability of deficits in the West African Monetary Zone and secondly, to examine the absence or presence of fiscal policy persistence. Fiscal deficits are sustainable when an increase in public debt is associated with a corresponding increase in the primary surplus. Using panel data, a fiscal reaction model was estimated. The findings of this study showed that deficits are weakly sustainable and fiscal policy is highly persistent. The implication of weak sustainability is that they are easily vulnerable to external shocks and the possibility of becoming unsustainable is very high. Meanwhile, a highly persistent fiscal policy leaves little or no room for fiscal policy discretion and this is a high risk because it means government won’t respond swiftly as at when due. Based on these findings, the study recommends a suspension of the proposed single currency union
Geometrically Nonlinear High-fidelity Aerostructural Optimization for Highly Flexible Wings

Over the past decade, advances in multidisciplinary design optimization (MDO) have enabled the optimization of aircraft wings using high-fidelity simulations of their coupled aerodynamic and structural behavior. However, as their aspect-ratios increase, these wings increasingly exhibit geometrically nonlinear behavior that cannot be correctly modeled by typical linear structural analysis methods. Although many low-fidelity aeroelastic analysis and optimization tools feature geometrically nonlinear finite element models, all examples to date of high-fidelity aerostructural optimization have been restricted to linear finite element models due to concerns over computational cost and complexity. In this work, we develop a tool for high-fidelity, geometrically nonlinear structural and aerostructural optimization and demonstrate it by performing detailed structural sizing optimization of a high aspect-ratio wingbox using high-fidelity RANS CFD and a geometrically nonlinear shell finite element formulation. By comparing the results of aerostructural analysis and optimization using both geometrically linear and nonlinear structural finite element formulations, we find that geometric nonlinearity results in a 5-10% increase in the bending stress and optimized structural mass of the wingbox. Geometrically nonlinear analysis not only results in deflected wing shapes and lift distributions which are more physically accurate, but also captures new loading phenomena within the wingbox, both of which lead to more realistic structural sizing. We also show that the increase in computational cost when optimizing with geometrically nonlinear analysis can be as low as 15%, meaning these formulations should not be viewed as prohibitively expensive.
Training a Neural-Network-Based Surrogate Model for Aerodynamic Optimisation Using a Gaussian Process

A two-step idea is presented for efficiently training a neural network (NN) surrogate of a parametric, high-fidelity, high-dimensional computational fluid dynamics model (HDM). It consists first in using a Gaussian process, an acquisition function, the HDM, and a scalar quantity obtained by post-processing the HDM to adaptively sample the parameter space. Next, a NN is trained for a quantity of interest using the HDM solutions computed at the sampled parameter points. This active learning approach is illustrated with numerical experiments for the prediction of the lift-over-drag ratio of a cambered NACA airfoil and the pressure coefficient of a flying wing aircraft mAEWing2 in large parameter spaces of flight conditions and shape design variables. The results demonstrate the superior efficiency and accuracy delivered by the proposed training over alternatives based on uniform and random samplings. The resulting surrogate models are suitable for time-critical applications such as design optimization and uncertainty quantification.
Trust and Ethics in the Social Network of Oil Palm Traders: Lessons From Indonesia

Oil palm trade from independent oil palm farmers in Barito Kuala Regency, Kalimantan is carried out in a palm oil trading chain and involves a social network of oil palm traders. However, unlike most networks social are relatively established, social networks in the palm oil trade are loose and negotiated. This study aims to: first, describe the form of social networks in oil palm trading. Second, it describes efforts to establish and maintain networks social in the oil palm trade. This study uses qualitative research methods to gain a deep understanding of the social networks of oil palm traders. This research was conducted in the village of Sidomulyo, Wanaraya sub-district Barito Kuala District, South Kalimantan province. Informants as sources of information were selected using a purposive sampling technique. Data mining was carried out by observation, in-depth (ininterviews depth interviews) with selected informants, and daily notes. The research results were analyzed by phenomenological analysis. This study found: first, the form of social networks in oil palm traders consists of two forms of social networks, namely the social network of negotiating interests in the relationship that is built between vendors SPK and middlemen and contractual emotional social networks between middlemen and oil palm farmers. Secondly, efforts to maintain social networks are carried out in a number of ways: (1) Negotiating interests for social networks are carried out by maintaining trust through timely payment and delivery of goods and willingness to act as a vendor agent as a concession to the vendor's willingness to deposit a middleman. (2) the contractual emotional network is carried out with the middlemen's willingness to lend funds for plantation management to farmers and the willingness of farmers to sell their oil palm to middlemen as a form of gratitude and “ewuh pakewuh” ethics for their loans.
Unmanned Aerial Vehicles in Agriculture: A Survey

The number of tasks that nowadays are accomplished by using unmanned aerial vehicles is rising across many civil applications, including agriculture. Thus, this work aims at providing the reader with an overview of the agronomical use of unmanned aerial vehicles. The work starts with a historical analysis of the use of aircrafts in agriculture, as pioneers of their use in modern precision agriculture techniques, currently applied by a high number of users. This survey has been carried out by providing a classification of the vehicles according to their typology and main sensorial and performance features. An extensive review of the most common applications and the advantages of using unmanned aerial vehicles is the core of the work. Finally, a brief summary of the key points of the legislation applicable to civil drones that could affect to agricultural applications is analyzed.
Perspective on the switching behavior of HfO2-based ferroelectrics

Since ferroelectricity was first observed in 2011, HfO2-based ferroelectrics have garnered significant attention, owing to their compatibility with complementary metal–oxide–semiconductors. Moreover, their thickness scalability facilitates the miniaturization of integrated circuit systems. The ultrafast polarization switching speed in the range of sub-nanoseconds helps in the fabrication of fast-operation devices. The origins of ferroelectricity in HfO2-based ferroelectrics differ from those of conventional perovskite ferroelectrics, with more complex behaviors associated with polarization switching. In this Perspective, recent investigations on the complex behaviors pertaining to polarization switching, including wake-up, split-up, fatigue, negative capacitance, accumulative switching, and some of their relations are discussed. Furthermore, the polarization switching dynamics have also been studied. Finally, the potential applications and investigations of HfO2-based ferroelectrics are discussed.
Edge finite element method for periodic structures using random meshes

ABSTRACT This paper introduces a new method to impose the periodic boundary conditions on the arbitrary mesh when we use the edge finite element method. By using the Floquet theorem, we reduce the analysis of an infinite bi-periodic structure to an elementary cell with pseudo-periodic conditions on the lateral sides. In this method, we establish a relationship between the electric field circulation along an edge on a face and the circulation of the associated edges on the opposite face. After that, we introduce periodic relations in the finite element system. To show the possibilities of the proposed method, we present two numerical studies and the obtained numerical results are compared to those produced by the existing methods.
Numerical investigation of light localization in generalized Thue–Morse one-dimensional photonic crystal

Abstract. We theoretically investigate the spectral of light-localization in one-dimensional generalized Thue–Morse (GTM) photonic structures (n,m,k), where n and m are both positive integers representing parameters of GTM sequence and k is the order of this sequence. Numerical analysis is performed by the transfer matrix method algorithm to investigate their optical properties. We have shown that by varying m and n simultaneously, the electric field intensity in the GTM structure varies according to the parity of these parameters and also according to the peak positions.
Is there a correlation between the initial calcium level and Balthazar classification in patients with acute pancreatitis?

ABSTRACT BACKGROUND: While a life-threatening course is observed in 2–3% of patients with acute pancreatitis (AP), mortality can be up to 50% in severe AP. In our study, we research relationship between calcium level and Modified Balthazar (MB) score. METHODS: 354 patients who were followed up with a diagnosis of AP between 2013 and 2019 were included in our study. Serum calcium level was measured within the first 24 h. Abdominal computed tomography (CT) was performed in all patients in the first 12 h and between 3 and 7 days. The severity of AP was determined according to the MB classification. The correlation between calcium level and MB classification was examined. RESULTS: 206 (58.2%) of the patients were women. Mean age was 54.8±17.9 years (range: 18–100). It was observed that the rate of severe AP was significantly higher in the low calcium group compared to the MB classification in which tomographies taken at admission and 72 h after were evaluated (p<0.05). Furthermore, progression was higher in low calcium group (p<0.05). The cutoff value was 9.35 mg/dl for the ROC analysis performed to distinguish mild pancreatitis from moderate-severe pancreatitis according to the MB classification performed by CT obtained after 72 h based on the Ca values. For the cutoff value of 9.35 mg/dl (AUC: 0.581, p=0.018, 95% Cl: 0.514–0.649), the sensitivity was 57.4% and the specificity was 53.1%. CONCLUSION: Since there is a correlation between the initial calcium level and the severity of the disease according to the CT-scan obtained later, the calcium level gives us an idea of the course of the disease.