Miracle-dz/UniFAR-FTUs huggingface dataset:
Piperlongumine Induces Cellular Apoptosis and Autophagy via the ROS/Akt Signaling Pathway in Human Follicular Thyroid Cancer Cells

Thyroid cancer (TC) is the most common endocrine malignancy. Recently, the global incidence of TC has increased rapidly. Differentiated thyroid cancer includes papillary thyroid carcinoma (PTC) and follicular thyroid carcinoma (FTC), which are the most common types of TC. Although PTCs and FTCs exert good prognoses and high survival rates, FTCs tend to be more aggressive than PTCs. There is an urgent need to improve patient outcomes by developing effective therapeutic agents for FTCs. Piperlongumine exerts anti-cancer effects in various human carcinomas, including human anaplastic TCs and PTCs. However, the anti-cancer effects of piperlongumine in FTCs and the underlying mechanisms are yet to be elucidated. Therefore, in the present study, we evaluated the effect of piperlongumine on cell proliferation, cell cycle, apoptosis, and autophagy in FTC cells with flowcytometry and Western blot. We observed that piperlongumine caused growth inhibition, cell cycle arrest, apoptosis induction, and autophagy elevation in FTC cells. Activities of reactive oxygen species and the downstream PI3K/Akt pathway were the underlying mechanisms involved in piperlongumine mediated anti-FTC effects. Advancements in our understanding of the effects of piperlongumine in FTC hold promise for the development of novel therapeutic strategies.
Comparison of the Lifshitz Theory Using the Nonconventional Fit of Response Functions with Precise Measurements of the Casimir Force

It is known that the fundamental Lifshitz theory, which is based on the first principles of thermal quantum field theory, experiences difficulties when compared with precise measurements of the Casimir force. We analyzed the nonconventional fit of the response functions of many materials along the imaginary frequency axis to the empirical model of “modified” oscillators, which was recently proposed in the literature. According to our results, this model is unacceptable because at high frequencies it leads to the asymptotic behavior of the response functions, which is in contradiction with that following from the fundamental physical principles. We calculated the Casimir interaction in the configurations of several precise experiments using the Lifshitz theory and the response functions to the quantized electromagnetic field expressed in terms of modified oscillators and demonstrated that the obtained results are excluded by the measurement data. This invalidated a claim made in the literature that the Casimir–van der Waals forces calculated using these response functions are in remarkable agreement with the experimental values. Possible reasons for a disagreement between experiment and theory are discussed, and the way to improve the situation is indicated.
Fast flame recognition algorithm base on segmentation network

To solve the low recognition rate of the network to flame and keep the accuracy, we propose an Instance segmentation model for recognizing and locating flames more accurate This network is improved based on the deep learning model Mask R-CNN, it introduces four key components:(1) After analyzing the effects of space and channel attention, we used an efficient convolution channel attention. (2) By comparing the convolution kernel size, an optimized dilated convolution is added to the network, (3) To eliminate redundancy, reducing the depth of the backbone while guaranteeing the accuracy of the network. (4) Finally, Adding a flame extraction algorithm behind the head. Compared with Mask R-CNN, the model size is reduced by 16.3MB, and the recognition accuracy of flame is improved by 1.7%, The comparison shows that the network can also greatly improve the recognition effect of small flames.
Optimal Modulation of Triple Active Bridge Converters by an Artificial-Neural- Network Approach

Isolated multiport converters can host loads and sources at different power and voltage levels to their ports by a single topology, giving potential merits in terms of power density and efficiency. However, the higher the number of ports, the higher the number of degrees of freedom in the modulation patterns. This high number of modulation variables complicates the optimization problem, making closed-form solutions impractical. This article avoids the analytic solution to the optimization problem by proposing a data-driven solution. The presented approach is based on an artificial neural network (ANN) trained to minimize the rms value of the currents flowing through the switches and the transformer windings of a triple active bridge (TAB) converter. This minimization is achieved by determining suitable values of the duty-cycles for modulating the converter switches. The proposed ANN-based modulation is validated considering an experimental TAB prototype rated $5 \,\mathrm{k}\mathrm{W}$.
Channel Estimation and Symbol Demodulation for OFDM Systems Over Rapidly Varying Multipath Channels With Hybrid Deep Neural Networks

We consider orthogonal frequency division multiplexing over rapidly time-varying multipath channels, for which performance of standard channel estimation and equalization techniques degrades dramatically due to inter-carrier interference (ICI). We focus on improving the overall system performance by designing deep neural network (DNN) architectures for both channel estimation and data demodulation. To accomplish this, we employ the basis expansion model to track the channel tap variations, and exploit convolutional neural networks’ learning abilities of local correlations together with a coarse least square solution for a robust and accurate channel estimation procedure. For data demodulation, we use a recurrent neural network for improved performance and robustness as single tap frequency-domain equalizers perform poorly, and more sophisticated equalization techniques such as band-limited linear minimum mean squared error equalizers are vulnerable to model mismatch and channel estimation errors. Numerical examples illustrate that the proposed DNN architectures outperform the traditional algorithms. Specifically, the bit error rate results for a wide range of Doppler values reveal that the proposed DNN-based equalizer is robust, and it mitigates the ICI effectively, offering an excellent demodulation performance. We further note that the DNN-based channel estimator offers an improved performance with a reduced computational complexity.
Institutional Performance and Tourism Arrival Nexus in BRICS Countries: Evidence from Nonlinear ARDL Cointegration Approach

Tourism is significantly influenced by institutional quality. The strength of institutions is also important for the growth of tourism because poor institutions may inhibit tourists from entering a region. Over the years, there have been rare studies on the association between institutional quality and tourism in BRICS Nations by using NARDL. Using the NARDL model & institutional theories, this study looks at the asymmetric effects of institutional quality on tourist arrival in the BRICS countries from 1996 to 2021. The findings suggest that a gain in institutional quality will boost Tourist arrival for the BRICS countries to examine the interrelationships among variables both long and short run and NARDL shows a positive relation between the expansion of tourism in the BRICS countries. This study examines the asymmetric effects of institutional quality and energy consumption on visitor arrival. The long-run asymmetries between institutional quality, energy use, and tourism in the BRICS countries. Furthermore, the study finds that neglecting the series’ inherent nonlinearities may lead to misleading inferences. The policy argued that in order to increase investment in institutional quality and energy consumption, appropriate measures must be taken, including deregulation of economic activity, the development of The implementation of adequate regulatory frameworks and tax constructions, the development of port infrastructure, a road network, a rail system, and telecommunications facilities, the achievement of trade-related clarity trade-related adaptability and the expansion of the nation's infrastructure in to accommodate more tourists. As a result, recommendations for measures to improve tourist arrival, promote high-quality institutions, and stop environmental damage were suggested. As a result, the present study offers the BRICS countries a foundation for their policies.
Estimation of Required Horizontal FoV for Ideal HMD Utilizing Vignetting under Practical Range of Eye Displacement

This study presents the required horizontal FoV for ideal HMDs that bring an indistinguishable experience from the state of not wearing them. We investigated the threshold of the horizontally visible range relative to the head, when the size of the eye displacement is equivalent to that in real life. We confirmed that the required FoV was smaller than that in a previous study, in which the participants' eye displacement was at its maximum. We found that the required FoV was approximately 229° when the peripheral luminance gradually decreased, as in vignetting.
The Impact of Immigration on Firms and Workers: Insights from the H-1B Lottery

We study how random variation in the availability of highly educated, foreign-born workers impacts firm performance and recruitment behavior. We combine two rich data sources: 1) administrative employer-employee matched data from the US Census Bureau; and 2) firm-level information on the first large-scale H-1B visa lottery in 2007. Using an event-study approach, we find that lottery wins lead to increases in firm hiring of collegeeducated, immigrant labor along with increases in scale and productivity. Skill-intensive, high-paying firms expand the most after winning the H-1B lottery. We find limited evidence of displacement effects on native-born, college-educated workers. JEL Codes: F22, J61
Synthetic Calcium Silicate Biocomposite Based on Sea Urchin Skeleton for 5-Fluorouracil Cancer Delivery

Synthetic calcium silicates and phosphates are promising compounds for targeted drug delivery for the effective treatment of cancerous tumors, and for minimizing toxic effects on the patient’s entire body. This work presents an original synthesis of a composite based on crystalline wollastonite CaSiO3 and combeite Na4Ca4(Si6O18), using a sea urchin Mesocentrotus nudus skeleton by microwave heating under hydrothermal conditions. The phase and elemental composition and structure of the obtained composite were studied by XRF, REM, BET, and EDS methods, depending on the microwave heating time of 30 or 60 min, respectively, and the influence of thermo-oxidative post-treatment of samples. The role of the sea urchin skeleton in the synthesis was shown. First, it provides a raw material base (source of Ca2+) for the formation of the calcium silicate composite. Second, it is a matrix for the formation of its porous inorganic framework. The sorption capacity of the composite, with respect to 5-fluorouracil, was estimated, the value of which was 12.3 mg/L. The resulting composite is a promising carrier for the targeted delivery of chemotherapeutic drugs. The mechanism of drug release from an inorganic natural matrix was also evaluated by fitting its release profile to various mathematical models.
Bioinspired Nanoplatforms Based on Graphene Oxide and Neurotrophin-Mimicking Peptides

Neurotrophins (NTs), which are crucial for the functioning of the nervous system, are also known to regulate vascularization. Graphene-based materials may drive neural growth and differentiation, and, thus, have great potential in regenerative medicine. In this work, we scrutinized the nano–biointerface between the cell membrane and hybrids made of neurotrophin-mimicking peptides and graphene oxide (GO) assemblies (pep−GO), to exploit their potential in theranostics (i.e., therapy and imaging/diagnostics) for targeting neurodegenerative diseases (ND) as well as angiogenesis. The pep−GO systems were assembled via spontaneous physisorption onto GO nanosheets of the peptide sequences BDNF(1-12), NT3(1-13), and NGF(1-14), mimicking the brain-derived neurotrophic factor (BDNF), the neurotrophin 3 (NT3), and the nerve growth factor (NGF), respectively. The interaction of pep−GO nanoplatforms at the biointerface with artificial cell membranes was scrutinized both in 3D and 2D by utilizing model phospholipids self-assembled as small unilamellar vesicles (SUVs) or planar-supported lipid bilayers (SLBs), respectively. The experimental studies were paralleled via molecular dynamics (MD) computational analyses. Proof-of-work in vitro cellular experiments with undifferentiated neuroblastoma (SH-SY5Y), neuron-like, differentiated neuroblastoma (dSH-SY5Y), and human umbilical vein endothelial cells (HUVECs) were carried out to shed light on the capability of the pep−GO nanoplatforms to stimulate the neurite outgrowth as well as tubulogenesis and cell migration.
Numerical investigation of mixed convection from rectangular cylinders subjected to upper cross flow

Abstract Unsteady combined natural and forced convection heat transfer from a rectangular cylinder subjected to upward cross flow is investigated numerically. The working fluids are air (Pr = 0.7) and water (Pr = 7), and the flow is laminar. The governing flow and energy equations are solved using a fractional step finite-difference scheme. The effects of the cylinder aspect ratio (a = L/D), Reynolds and Richardson numbers on the flow and heat transfer characteristics are investigated. Numerical simulations were carried out for the cylinders with aspect ratios of a = 0.5, 1, and 2, while the Richardson and Reynolds numbers varied between 0 to 10, and 100 to 200, respectively. The mean drag, mean rms lift coefficients, as well as the Strouhal number and the mean Nusselt number were computed for each simulation to determine the quantitative effects on flow and heat transfer. Steady flow is observed for Pr = 0.7, Ri = 0.5, and a = 0.5 or for Re ≥ 150 and Ri ≥ 1. For Ri = 10 and Re = 200, the flow becomes unsteady in the downstream region and trigger vortex street formation for a = 0.5, 1, and 2. Decreasing the aspect ratio, as well as increasing Reynolds number, increases the heat transfer from the cylinder. The rms lift coefficient decreases sharply at Ri < 1 for Pr = 0.7, Ri < 2 for Pr = 7 due to vortex breakdown. Further increase in the Richardson leads to a slight increase in rms lift coefficient except for Re = 200 where the sharp increase is observed due to triggered vortex formation again. For air, the increase in the mean Nusselt number in Ri = 10 case with respect to the forced convection case (Ri = 0) was 54–65% and 80–98%, respectively, for a = 0.5 and 2, while these values for water were realized as 50–68% and 53–63%, respectively. Using the computed data and nonlinear regression, the mean Nusselt number and the drag coefficients were developed.
ANALYSIS OF TEMPORAL VARIATIONS IN TURBIDITY FOR A COASTAL AREA USING THE HILBERT-HUANG-TRANSFORM

Turbidity data obtained by field observations off the Tenryu River mouth were analyzed using the Hilbert-Huang Transform (HHT) in order to investigate the characteristic variations in time and in the frequency domain. The Empirical Mode Decomposition (EMD) decomposed the original data into only eight intrinsic mode functions (IMFs) and a residue in the first step of the HHT. In the second step, the Hilbert transform was applied to the IMFs to calculate the Hilbert spectrum, which is the time-frequency distribution of the instantaneous frequency and energy. The changes in instantaneous frequencies showed correspondence to high turbidity events in the Hilbert spectrum. The investigation of instantaneous frequency variations can be used to understand transitions in the state of the turbidity. The comparison between the Fourier spectrum and the Hilbert spectrum integrated in time showed that the Hilbert spectrum makes it possible to detect and quantify the cycle of locally repeated events.
A Novel Approach for Design and Manufacturing of Curvature-Featuring Scaffolds for Osteochondral Repair

Osteochondral (OC) defects affect both articular cartilage and the underlying subchondral bone. Due to limitations in the cartilage tissue’s self-healing capabilities, OC defects exhibit a degenerative progression to which current therapies have not yet found a suitable long-term solution. Tissue engineering (TE) strategies aim to fabricate tissue substitutes that recreate natural tissue features to offer better alternatives to the existing inefficient treatments. Scaffold design is a key element in providing appropriate structures for tissue growth and maturation. This study presents a novel method for designing scaffolds with a mathematically defined curvature, based on the geometry of a sphere, to obtain TE constructs mimicking native OC tissue shape. The lower the designed radius, the more curved the scaffold obtained. The printability of the scaffolds using fused filament fabrication (FFF) was evaluated. For the case-study scaffold size (20.1 mm × 20.1 mm projected dimensions), a limit sphere radius of 17.064 mm was determined to ensure printability feasibility, as confirmed by scanning electron microscopy (SEM) and micro-computed tomography (μ-CT) analysis. The FFF method proved suitable to reproduce the curved designs, showing good shape fidelity and replicating the expected variation in porosity. Additionally, the mechanical behavior was evaluated experimentally and by numerical modelling. Experimentally, curved scaffolds showed strength comparable to conventional orthogonal scaffolds, and finite element analysis was used to identify the scaffold regions more susceptible to higher loads.
Economic Activities and Management Issues for the Environment: An Environmental Kuznets Curve (EKC) and STIRPAT Analysis in Turkey

The emission of air pollutants from energy production and consumption is a major cause of environmental problems. In addition, urbanisation and CO2 emissions have become major environmental concerns that are closely related to climate change and sustainable economic growth. The purpose of this paper is to investigate the long-run relationship among CO2 emissions, energy consumption, economic activities, and management issues for Turkey for the period between 1980 and 2021. The STIRPAT hypothesis and the environmental Kuznets curve (EKC) hypothesis were employed by using dynamic conditional correlation (DCC) and ARDL bound methodologies for these goals. The findings indicate that there is a long-run relationship between variables of the STIRPAT model. The coefficient of economic expansion and energy consumption affected CO2 emissions positively, which means that energy consumption and the expansion of economic activity have significant effects on environmental degradation. Those results are also confirmed by the environmental Kuznets curve (EKC) model. In addition, the N-shaped environmental Kuznets curve (EKC) is developed for Turkey. The DCC model also shows that economic growth increases CO2 emissions significantly, and energy productivity can be considered for decreasing CO2 emissions.
Impact of cervical pain, neck mobility, and body mass index on teachers’ postural control

ABSTRACT Purpose: to analyze the impact of neck pain, neck mobility, and body mass index on teachers’ postural control. Methods: a cross-sectional study with 54 state public school teachers, 68.5% (n = 37) being females, with a mean age of 46.5 ± 9.3 years. Data were collected with the following instruments: Craniocervical Dysfunction Index (Brazilian version), force platform in bipedal and semi-tandem stance, visual analog scale, cervical mobility index, and body mass index. Data were analyzed with nonparametric statistics and multiple linear regression; the significance level was set at p<0.05, with 95% confidence intervals. Results: teachers with neck pain and severely impaired neck mobility had greater postural control changes in the semi-tandem stance. In the bipedal stance, those with mild mobility changes and neck pain had a smaller total displacement. Obese teachers had a smaller movement amplitude in the anteroposterior and mediolateral directions. Conclusion: teachers presented with neck pain and severely impaired neck mobility had a worse postural control. Obese teachers had a smaller total amplitude in both movement directions.
Full-Thickness Skin Graft from the Submental Triangle for Facial Defect Reconstruction

Full-thickness skin grafting plays an important role in facial reconstruction for excessive skin defects or possible eye, nose, or lip distortion after a malignant tumor excision. For esthetic consideration, full-thickness skin grafts of the retroauricular region can be used, but the amount of skin is limited. The skin of the submental triangle has similar cutaneous features and provides a large graft. We aimed to evaluate the feasibility of using full-thickness skin grafts harvested from the submental triangle to reconstruct facial skin defects. We retrospectively analyzed 14 cases treated at a single institution to evaluate the clinical and esthetic outcomes, and patients’ satisfaction. During 6–24 months of follow-up, the wounds healed with well-matched color, texture, and contour. No obvious hypertrophies or distortions were observed. Additionally, the removal of redundant submental triangle skin resulted in the secondary gain of double chin reduction. All patients were satisfied with the appearance of both donor and recipient sites. In conclusion, the submental triangle is a good possible option for full-thickness skin grafts used to resurface facial skin defects. Using this approach, both donor and recipient sites can achieve satisfactory esthetic outcomes.
Development of Reaction Rate Lab Virtual Media in Basic Chemistry Practicum

The Covid-19 pandemic has resulted in learning activities having to be carried out online. However, the practicum implementation was hampered due to the unavailability of virtual practicum facilities. The purpose of this study was to develop a virtual lab media for reaction rate material to determine its validity and see student responses to the media being developed. This research is research and development that adapts the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The trial was carried out on students in the 3rd semester of chemistry education at UIN Ar-Raniry. Data was collected using interview techniques and questionnaires. Interviews were conducted with chemical laboratory assistants and lecturers supporting basic chemistry practicum, product validity questionnaires were assessed by media, material and language experts, as well as student response questionnaires to find out the level of product practicality. The results showed that the developed virtual lab media obtained a validity percentage of 92.47% with very valid criteria. The test results obtained a very good response with a percentage of 86.66% and the results of the reliability test on student responses obtained a Cronbach's Alpha value = 0.910 which was greater than 0.700 meaning the questionnaire proved to be reliable. With very high validity and very good response, this virtual lab media can be used as a medium for basic chemistry practicum on reaction rate materials