Miracle-dz/UniFAR-FTUs huggingface dataset:
"Efficacy of Letrozole as Maintenance Therapy for Ovarian Cancer"

Ovarian cancer is a persistent disease with periods of recurrence. Surgery with subsequent chemotherapy is not sufficient to stop the disease. The aim of this study is to establish whether letrozole applied as maintenance therapy can prolong life without progression. Thanks to exposure of estrogen receptors in ovarian cancer cells, hormonal therapy provides an alternative treatment method. Aromatase inhibitors block synthesis of estrogen and prevent progression of ovarian cancer. More advantages are observed when using aromatase inhibitors (letrozole) in low-stage serous and endometrioid ovarian cancer. However, further investigations are needed to better evaluate this maintenance treatment.
Development of a Nanoformulation for Oral Protein Administration: Characterization and Preclinical Orofacial Antinociceptive Effect

Nanoencapsulation is a valid alternative for the oral administration of peptide drugs and proteins, as nanoparticles protect them from proteolytic degradation in the gastrointestinal tract and promote the absorption of these macromolecules. The orofacial antinociceptive effect of frutalin (FTL), through the intraperitoneal route, has already been proven. This study aimed to develop, characterize, and evaluate the orofacial antinociceptive activity of an oral formulation containing FTL in acute and neuropathic preclinical tests. Nanoencapsulated FTL was administered by oral route. The acute nociceptive behavior was induced by administering capsaicin to the upper lip and NaCl to the right cornea. The nociceptive behavior was also induced by formalin injected into the temporomandibular joint. The neuropathic pain model involved infraorbital nerve transection (IONX), which induced mechanical hypersensitivity and was assessed by von Frey stimulation. Trpv1 gene expression was analyzed in the trigeminal ganglion. The analyzed sample did not show any cytotoxicity; 52.2% of the FTL was encapsulated, and the size of the nanocapsule was less than 200 nm, the polydispersion was 0.361, and the zeta potential was − 5.87 and − 12.8 mV, with and without FTL, respectively. Nanoencapsulated FTL administered by oral route had an orofacial antinociceptive effect in acute and neuropathic rodent models. The antinociceptive effect of FTL was prevented by ruthenium red, but not by camphor. FTL reduced Trpv1 gene expression. FTL promotes orofacial antinociception, probably due to the antagonism of TRPV1 channels, and the nanoformulation represents an effective method for the oral administration of this protein. • Nanoformulation for oral protein administration. • Nanocapsule containing FTL prevents orofacial nociceptive acute and neuropathic pain. • Frutalin promotes orofacial antinociception behavior antagonism of TRPV1 channels.
A novel compensation power‐decoupling strategy for single‐phase three‐level flying capacitor PV micro‐inverters

The traditional power‐decoupling controller for single‐phase photovoltaic (PV) micro‐inverters suffers from complex control structure, complicated parameter design and poor stability. In this paper, a novel compensation power‐decoupling strategy is proposed for a single‐phase three‐level flying capacitor PV micro‐inverter. The proposed strategy is aimed at tackling the problem of unbalanced charging and discharging of the flying capacitor, and hence makes the micro‐inverter highly stable and reliable. First, the topology and operating principle of the studied micro‐inverter are discussed, followed by the mathematical models established. Afterwards, the state‐space equations of the micro‐inverter are established for all the operating states, of which two transition variables are introduced to realize a linear presentation. On this basis, a double closed‐loop control method is designed to regulate the DC‐link voltage and current. Meanwhile, the flying capacitor voltage is controlled in a closed‐loop form to do the job of a power pulsating buffer (PPB). Following this, the proposed compensation power‐decoupling strategy is elaborated. Finally, some experimental results are presented to indicate the high performance of the studied micro‐inverter and verify the effectiveness of the proposed strategy.
Smart Parking Management System Using AI

This paper is aimed to introduce a smart parking lot management system using multiple cameras and artificial intelligence technique. When a vehicle enters a parking lot, it recognizes the vehicle number using embedded camera, tracks which parking space the vehicle is parked in, and updates parking space information. In addition, using a surveillance camera images, it has been also implemented to detect collision accidents that may occur while the vehicle is moving in the parking lot. Vehicle number recognition system uses OCR technique and is implemented on a Raspberry system. By managing the vehicle number recognized at the entrance of the parking lot as an Object ID, it was possible to effectively track the vehicle as a moving object inside the parking lot and finally identify the parking location. In order for accident detection, YOLO with CNN deep learning process is used. More than 500 possible collision images are trained in advance. Experimental results show that the detection accuracy of parking and accident detection increases as the number of training images increases. The accident detection needed more training images because it has more diversity. By using the smart parking system implemented in this paper, it is possible to effectively manage the vehicle's parking location, free space information and possible accidents. Using a cloud system, implemented system can provide drivers an integrated parking lot information over large areas.
Effects of Intermittent Fasting on Cardiometabolic Health: An Energy Metabolism Perspective

This review summarizes the effects of different types of intermittent fasting (IF) on human cardiometabolic health, with a focus on energy metabolism. First, we discuss the coordinated metabolic adaptations (energy expenditure, hormonal changes and macronutrient oxidation) occurring during a 72 h fast. We then discuss studies investigating the effects of IF on cardiometabolic health, energy expenditure and substrate oxidation. Finally, we discuss how IF may be optimized by combining it with exercise. In general, IF regimens improve body composition, ectopic fat, and classic cardiometabolic risk factors, as compared to unrestricted eating, especially in metabolically unhealthy participants. However, it is still unclear whether IF provides additional cardiometabolic benefits as compared to continuous daily caloric restriction (CR). Most studies found no additional benefits, yet some preliminary data suggest that IF regimens may provide cardiometabolic benefits in the absence of weight loss. Finally, although IF and continuous daily CR appear to induce similar changes in energy expenditure, IF regimens may differentially affect substrate oxidation, increasing protein and fat oxidation. Future tightly controlled studies are needed to unravel the underlying mechanisms of IF and its role in cardiometabolic health and energy metabolism.
Synthesis of missile autopilots robust to the presence of parametric variations

A variety of Hoo techniques to develop tactical missile autopilots robust to the presence of parametric variations have been analyzed. Three different Hoo techniques are compared: Ho, mixed sensitivity, Hoo with modelled parametric uncertainty, and Hoo with inner loop compensation. The importance of dynamic scaling (g-analysis and g-synthesis) to reduce conservatism when the Ho problem has a block diagonal uncertainty structure is also evaluated. The results demonstrate the importance of the structured singular value (ssv) for the reduction of conservatism when a block diagonal perturbation structure exists. The extension of the ssv to the synthesis of Hoo designs (gi-synthesis) also proves to be a valuable synthesis tool. Controllers synthesized using classical Hoo optimization techniques are found to have poor robustness to parameter variations. Controllers synthesized using the Hoo inner loop technique exhibit excellent parameter robustness, but poor robust performance in the presence of unstructured uncertainty. Controllers synthesized using HoJ. -synthesis techniques with modelled parameter uncertainty demonstrate adequate parameter robustness while providing the best framework for simultaneously satisfying multiple uncertainty criterion.
Detecting and Understanding Web communities

Collective user activities on multiple, often heterogeneous and evolving Web sources contributes in the formation of Web communities which are either derived from Web documents/pages, or by users navigational tasks and more recently by tags and social frameworks. Defining, deriving and exploiting communities is not a trivial task since several parameters (large-scale, complexity, evolving information etc) are involved. This paper aims at providing answers for crucial questions raised about communities emerging in the Web and it summarizes different community definitions such that then, the problem of community detection (which is well matured and researched in the past) is understood. The paper emphasizes and discusses the most important methodologies and techniques which deal with large populations of Web documents participating in vast hyperlinked networks, or networks formed from crawling (part of) the web and more recently, networks reflecting the social relations and/or interactions among people. It is important to understand and categorize community identification efforts by taking into account that different levels of granularity and different views are often used for community identification. The emphasis is on the intuition behind all these methodologies and implementations, and on their practical impact for tasks of recommendation, searching, content outsourcing, etc.
High-recovery inland desalination: Concentrate treatment by electrodialysis and batch reverse osmosis

Electrodialysis (ED) processes have been analyzed by empirical, theoretical and complex mathematical modeling. The majority of the mathematical models are focused on the voltage drop related to independent variables located in the complete ED system such as in the cell pairs, membranes and in the solutions. However, there is no a full explanation of all the parameters that contribute to the voltage drop in the electrode and rinse solutions. Several authors make questionable assumptions on the voltage associated with the electrodes and the solution used as an electrode rinse, and those assumptions may lead to an incorrect prediction of power consumption in full-size ED stacks. This study presents a mathematical model and data validation that can be employed to predict the proper voltage drop in a laboratory scale electrodialysis stack. Consideration was given to variables such as membrane resistance, solution compartment geometry, spacer and endplate shadowing effects, electrode rinse concentration, and the basic electrochemistry equations in the development of the model.
Highly Sensitive Room-Temperature Ammonia Sensors Based on Single-Wall Carbon Nanotubes Modified by PEDOT

An ammonia gas sensor material based on sulf- onic functionalized single-wall carbon nanotubes modified by poly(3,4-ethylenedioxythiophene), namely, PEDOT/SWCNT-SO3H, was prepared via in situ polymerization. A thin active layer of PEDOT/SWCNT-SO3H was deposited on a polyimide substrate with interdigital electrodes by air-brush spray coating. The morphology of the prepared material was studied by scanning electron microscopy, and the presence of PEDOT in the structure of SWCNT-SO3H was examined with Raman spectroscopy. The obtained results showed that PEDOT was successfully bound to SWCNT-SO3H and that this modification significantly improved the NH3 sensing performance of the sensor. The sensor exhibited a strong response to ammonia (102% at 50 ppm), minimal drift in the electrical resistance during cyclic exposure, and good spontaneous desorption, all at room temperature. In the range from 20 ppm to 100 ppm ammonia, the calibration curve is considered linear, with a sensitivity of a 0.7% resistance change per 1 ppm ammonia. Furthermore, the sensor shows the ability to detect ammonia at sub-ppm concentration, and the response is 4.4% at 300 ppb. With regard to the material structure, the sensing mechanisms of both materials, i.e., PEDOT/SWCNT-SO3H and SWCNT-SO3H, are discussed in the article.
Dynamic Thermal Model for Oil Directed Air Forced Power Transformers With Cooling Stage Representation

Power transformers are critical assets for generation and grid. Controlling their aging is an essential task to ensure the availability of installations, and to optimize maintenance and operational costs over their lifetime. Large power transformers do not always operate at their full cooling capacity, and the cooling efficiency is often adjusted by steps (each different step being also called a “cooling stage”) based on the top-oil, winding temperature indicator or hot-spot temperature. Various dynamic thermal models exist in the literature, but none of them provide easy-to-use correction factors to consider the effect of the cooling stage on the coolers’ thermal resistance as well as on top-oil and hot-spot gradients. The purpose of this article is to propose a simple yet accurate model for the thermal monitoring of Oil Directed Air Forced power transformers. Several applications of the model are given such as cooling efficiency monitoring, evaluation of the load capability (or loadability), and coolers temperature control improvement.
Perception-Aware Perching on Powerlines With Multirotors

Multirotor aerial robots are becoming widely used for the inspection of powerlines. To enable continuous, robust inspection without human intervention, the robots must be able to perch on the powerlines to recharge their batteries. Highly versatile perching capabilities are necessary to adapt to the variety of configurations and constraints that are present in real powerline systems. This letter presents a novel perching trajectory generation framework that computes perception-aware, collision-free, and dynamically-feasible maneuvers to guide the robot to the desired final state. Trajectory generation is achieved via solving a Nonlinear Programming problem using the Primal-Dual Interior Point method. The problem considers the full dynamic model of the robot down to its single rotor thrusts and minimizes the final pose and velocity errors while avoiding collisions and maximizing the visibility of the powerline during the maneuver. The generated maneuvers consider both the perching and the posterior recovery trajectories. The framework adopts costs and constraints defined by efficient mathematical representations of powerlines, enabling online onboard execution in resource-constrained hardware. The method is validated on-board an agile quadrotor conducting powerline inspection and various perching maneuvers with final pitch values of up to 180$^{\circ }$. The developed code is available online at: https://github.com/grvcPerception/pa_powerline_perching
Treatment Integrity: Implementation, Assessment, Evaluation, and Correlations with Outcome

Summary The verification of treatment integrity is an essential precondition for analysis of the effectiveness of psychotherapeutic research. Treatment integrity provides important information about to what extent a treatment was delivered as intended. 3 different aspects form the concept of treatment integrity: adherence, treatment differentiation, and competence. The current review gives recommendations regarding implementation, measurement, and evaluation of treatment integrity. Empirical studies and the correlations between treatment integrity and therapy outcome are also discussed. The methodological procedures, particularly measurement and evaluation, seem to be very heterogeneous, which makes it difficult to compare the results. However, for many studies, a direct or indirect correlation between treatment integrity and treatment outcome can be found. In further studies, the recommendations for implementation, measurement, and evaluation of treatment integrity should be taken into account to allow better comparability between studies.
Ellagitannin, Phenols, and Flavonoids as Antibacterials from Acalypha arvensis (Euphorbiaceae)

There is a significant need to gain access to new and better antibacterial agents. Acalypha arvensis, a plant from the Euphorbiaceae family, has been used in traditional medicine for centuries to treat infectious diseases. This manuscript reports the isolation, characterization, and antibacterial screening of 8 natural products extracted from maceration of aerial parts of Acalypha arvensis. Specifically, three extracts were assessed (n-hexane, ethyl acetate, and ethanol), in which antibacterial activity was evaluated against diverse bacterial strains. The ethanolic extract showed the best activity against methicillin-sensitive and methicillin-resistant Staphylococcus aureus, Klebsiella pneumoniae, and Pseudomonas aeruginosa strains, which supports the medicinal properties attributed to this plant. The chromatographic fractions AaR4 and AaR5 were the most bioactive, in which the ellagitannin natural product known as corilagin (1) was identified for the first time in this plant. Therefore, it can be said that this is the main chemical responsible for the observed antibacterial activity. However, we also identified chlorogenic acid (2), rutin (3), quercetin-3-O-glucoside (4), caffeic acid (5), among others (6–8). Hence, this plant can be considered to be a good alternative to treat health-related issues caused by various bacteria.
Advanced Interactive Tools for Analysis and Design of Nonlinear Robust Control Systems

This paper contributes for the further advancement of the analysis and design of robust nonlinear control systems. A nonlinear on-off element with hysteresis is considered as a nonlinear section of the plant discussed in this research. An innovative robust controller design is accomplished by a number of successive steps. Based on the difference equations of its stages, the robust controller is realized by two microcontrollers. Taking into account the Euler's approximation, the method of the D-partitioning and the describing-function stability analysis, as well as robust assessment are applied before and after the robust compensation. The research is a further development of the author’s work on the analysis and design of linear and digital robust control systems. The suggested innovative tool for analysis and design of nonlinear robust control systems by applying a digital robust controller is vital and useful for the further advancement of control theory in this field
Performance Evaluation of Channel Equalizer Techniques in LTE-Advanced under Vehicular Environments

The 3GPP LTE standard has developed into the most innovative wireless technology for future generations, capable of data transmission data at rates exceeding 1 Gbps. Improving total user communication performance highly depends on selecting the detection technique correctly, however, by choosing the proper mode of transmission. We analyzed channel equalization techniques Minimum Mean Square Error (MMSE) and Soft-Sphere Decoder (SSD), at the downlink of physical-layer of LTE‑A system under MIMO technology, besides studying the characteristics of utilizing various transmission schemes such-as Transmit Diversity (TxD) and Spatial Multiplexing (SM) (Open-Loop SM (OLSM) and Closed-Loop SM (CLSM)). For MIMO technology, the 4x2 configuration of transmitter-receiver antennas is preferred. To simulate and evaluate the system’s performance in throughput and Bit Error Rate (BER) used the LTE-A link level simulation program developed by “The Vienna University of Technology” which used in MATLAB, across various channel type including Vehicular-A (VehA) at a speed of 30km/s and Vehicular-B (VehB) at a speed of 120km/s.
Mechanical properties of carbon/glass fiber reinforced polymer plates with sandwich structure exposed to freezing-thawing environment: Effects of water immersion, bending loading and fiber hybrid mode

Abstract In this article, two kinds of carbon/glass fiber hybrid rod with the sandwich structures were designed and developed through the pultrusion technology, including the fiber random hybrid (RH) mode with multi-layer sandwich structure and fiber core-shell hybrid (CH) mode with single-layer sandwich structure. The hybrid sandwich-structure plates were prepared from the rod and immersed in bending loading, temperature alternating and sustained water immersion as long as 360 days. The effect of fiber hybrid mode/sandwich structure on the degradation mechanism of mechanical properties was revealed through the digital image correlation and thermogravimetric analysis. Through the fiber hybrid design, the strength improvement percentages of RH plates with multi-layer sandwich structure were up to ∼50% (tensile strength), 30 ∼ 40% (flexural strength) and 18% (in-plane shear strength) compared to CH plates with single-layer sandwich structure. Higher bending loading level brought about the decrease of flexural strength and in-plane shear strength close to 18% and 19%, respectively. During the immersion, microcracks or microvoids formed and expanded in the resin tensile area under the bending loading and water diffusion, leading to the uncoordinated stress concentration for single-layer sandwich-structure CH plate. By uniformly dispersing carbon fibers into glass fibers, the uneven interface stress concentration can be effectively alleviated for multi-layer sandwich-structure RH plates. The comparison of mechanical properties with the others’ work showed the interface shear strength was more sensitive to the bending loading and immersion temperature. The long-term life prediction showed the maximum increase percentages of mechanical properties of multi-layer sandwich structure were 435.4% (tensile strength) and 149.2% (flexural strength) and 110.7–114.2% (shear strength) compared to the single-layer sandwich structure.
Complementary connected domination and connectivity domination number of an arithmetic graph G=Vn

A subset S of V is said to be a complementary connected dominating set if every vertex not in S is adjacent to some vertex in S and the sub graph induced by V − S is connected. The complementary connected domination number of the graph is denoted by γccd(G) and is defined as the minimum number of vertices which form a ccd-set. A set S of vertices in a graph G is a connectivity dominating set if every vertex not in S is adjacent to some vertex in S and the sub graph induced by V −S is not connected. The connectivity domination number κγ(G) is the minimum size of such set.