Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Curcumin on Changes in Spermatogenetic Cells of Rats Treated with Cisplatin

Cisplatin is an effective antineoplastic drug which is used to treat many types of cancer. The most common known side effect of this drug is infertility. Curcumin, also called turmeric, has antioxidant and antitumor activities. This study was designed to investigate the effects of curcumin on the changes in spermatogenetic cells caused by cisplatin, which is used as a chemotherapeutic drug especially in testicular cancers. For this purpose, randomly selected 36 Spraque Dawley rats were seperated to 4 groups that of control, cisplatin, curcumin and curcumin+cisplatin and each group was seperated to 3 subgroups, each of them have 3 rats, so total 12 subgroups were obtained. The testicular tissues obtained from rats were evaluated histochemically, immunohistochemically and ultrastructually. In the results of this study, it is observed that the rate of apoptosis increased significantly in the experimental groups given curcumin together with cisplatin injection, and the transition-1 protein which is involved in DNA packaging in the elongated spermatids belonging to stages of XII, XIII an XIV, immunopositivity is increased statistically in the cisplatin-administered experimental groups compared to control groups. Both light and electron microscopic findings showed that intense degeneration, vacuolization, germ cell loss and spermatogenetic arrest occurred especially in the group given curcumin together with cisplatin. The results of our study showed that cisplatin can cause problems in infertility through DNA packaging and dragging cells to apoptosis and necrosis. Physicians who use cisplatin for cancer treatment are advised not to use curcumin together with cisplatin because it exacerbates the side effects of the cancer drug.
Gabor domain optical coherence microscopy

Optical Coherence Microscopy (OCM) is an emerging technology capable of depth sectioning of biological tissue at the micrometer scale. In this paper, we propose a developing technology we call Gabor Domain Optical Coherence Microscopy (GD-OCM), whose innovation is two folds: (1) A high lateral resolution optical design of a dynamic-focusing optical probe with no moving parts, which provides an invariant resolution of currently 3 μm across a 2mm full-field of view and 2mm imaging depth by design; (2) An acquisition scheme (using the probe) that is capable of performing automatic data fusion to render an in-focus high resolution image throughout the depth of sample at in vivo speeds.
Growth Hormone Improves Adipose Tissue Browning and Muscle Wasting in Mice with Chronic Kidney Disease-Associated Cachexia

Cachexia associated with chronic kidney disease (CKD) has been linked to GH resistance. In CKD, GH treatment enhances muscular performance. We investigated the impact of GH on cachexia brought on by CKD. CKD was induced by 5/6 nephrectomy in c57BL/6J mice. After receiving GH (10 mg/kg/day) or saline treatment for six weeks, CKD mice were compared to sham-operated controls. GH normalized metabolic rate, increased food intake and weight growth, and improved in vivo muscular function (rotarod and grip strength) in CKD mice. GH decreased uncoupling proteins (UCP)s and increased muscle and adipose tissue ATP content in CKD mice. GH decreased lipolysis of adipose tissue by attenuating expression and protein content of adipose triglyceride lipase and protein content of phosphorylated hormone-sensitive lipase in CKD mice. GH reversed the increased expression of beige adipocyte markers (UCP-1, CD137, Tmem26, Tbx1, Prdm16, Pgc1α, and Cidea) and molecules implicated in adipose tissue browning (Cox2/Pgf2α, Tlr2, Myd88, and Traf6) in CKD mice. Additionally, GH normalized the molecular markers of processes connected to muscle wasting in CKD, such as myogenesis and muscle regeneration. By using RNAseq, we previously determined the top 12 skeletal muscle genes differentially expressed between mice with CKD and control animals. These 12 genes’ aberrant expression has been linked to increased muscle thermogenesis, fibrosis, and poor muscle and neuron regeneration. In this study, we demonstrated that GH restored 7 of the top 12 differentially elevated muscle genes in CKD mice. In conclusion, GH might be an effective treatment for muscular atrophy and browning of adipose tissue in CKD-related cachexia.
Effect of Ciprofloxacin-Loaded Niosomes on Escherichia coli and Staphylococcus aureus Biofilm Formation

Infections caused by bacterial biofilms represent a global health problem, causing considerable patient morbidity and mortality in addition to an economic burden. Escherichia coli, Staphylococcus aureus, and other medically relevant bacterial strains colonize clinical surfaces and medical devices via biofilm in which bacterial cells are protected from the action of the immune system, disinfectants, and antibiotics. Several approaches have been investigated to inhibit and disperse bacterial biofilms, and the use of drug delivery could represent a fascinating strategy. Ciprofloxacin (CIP), which belongs to the class of fluoroquinolones, has been extensively used against various bacterial infections, and its loading in nanocarriers, such as niosomes, could support the CIP antibiofilm activity. Niosomes, composed of two surfactants (Tween 85 and Span 80) without the presence of cholesterol, are prepared and characterized considering the following features: hydrodynamic diameter, ζ-potential, morphology, vesicle bilayer characteristics, physical-chemical stability, and biological efficacy. The obtained results suggest that: (i) niosomes by surfactants in the absence of cholesterol are formed, can entrap CIP, and are stable over time and in artificial biological media; (ii) the CIP inclusion in nanocarriers increase its stability, with respect to free drug; (iii) niosomes preparations were able to induce a relevant inhibition of biofilm formation.
Comparison of LR, Score, and Wald Tests in a Non-IID Setting

Considering a large class of tests, we study higher order power in a possibly non-iid set-up. Optimum properties for the likelihood ratio and score tests are exhibited under the criteria of second-order local maximinity and third-order local average power, respectively. The issue of stringency with regard to third-order average power has been addressed. We also compare the power properties of various Bartlett-type adjustments for the tests.
Body Composition and Fitness Characteristics of Firefighters Participating in a Health and Wellness Program: Relationships and Descriptive Data

This study investigated body composition and fitness test relationships from firefighters participating in a health and wellness program and categorized firefighters according to population norms relative to sex and age. Data from 270 firefighters (men = 258, women = 12) were analyzed, including body composition (body mass index [BMI], body fat percentage [BF%], waist circumference [WC], waist-to-hip ratio) and fitness (sit-and-reach, grip strength, leg press, crunches, push-ups, maximal aerobic capacity [V̇O2max]) tests. Mann–Whitney U-test analysis (p < 0.05) showed that male firefighters had a greater WC, WHR, grip strength and leg press. Female firefighters had a greater BF% and better sit-and-reach. Partial correlations controlling for sex indicated 22/24 correlations between body composition and fitness were significant (r = −0.143–−0.640). ~52% of firefighters were overweight, and 25% were Obesity Class I-III. ~76% had an increased risk of cardiovascular disease (CVD) considering BMI and WC. ~22% were fatter than average-to-overfat considering BF%. Most firefighters (73–94%) were good-to-excellent in sit-and-reach, grip strength, and push-ups; average-to-well above average in crunches; average-to-above average in leg press; and had good-to-superior V̇O2max. Although most firefighters had better fitness compared to the general population, many had increased CVD risk. The data highlighted the need for comprehensive approaches to improving firefighter health and decreasing CVD risk.
Deep Learning for Parametric Channel Estimation in Massive MIMO Systems

Massive Multiple-Input Multiple-Output (MIMO) communication with a low bit error rate depends upon the availability of accurate Channel State Information (CSI) at the base station. The massive MIMO systems can be either deployed using time division duplexing with channel reciprocity assumption or by availing frequency division duplexing, which requires closed-loop feedback for CSI acquisition. The channel reciprocity simplifies transmission in time division duplexing; however, it suffers a bottleneck due to pilot contamination, whereas transmission in frequency division duplexing is challenged by channel estimation complexity, CSI feedback, and overall delay in CSI transfer. This paper proposes a simplified parametric channel model, its deep neural network aided estimation along with pilot decontamination for time division duplexing and a low rate parametric feedback and improved precoding for frequency division duplexing based massive MIMO systems. This novel framework integrates the massive MIMO parametric estimation and deep learning for improved estimation and precoding. Our proposed model also offers a unified approach for CSI acquisition with a performance bound on channel correlation in fast time-varying conditions. A theoretical model has been presented using Gaussian assumptions and validated by Monte-Carlo simulations. The results show total nullification of pilot contamination and high-performance gains when the proposed technique is employed for estimation.
Numerical techniques for large cosmological N-body simulations

Techniques for carrying out large N-body simulations of the gravitational evolution of clustering in the fundamental cube of an infinite periodic universe are described and compared. The accuracy of the forces derived from several commonly used particle mesh schemes is examined, showing how submesh resolution can be achieved by including short-range forces between particles by direct summation techniques. The time integration of the equations of motion is discussed, and the accuracy of the codes for various choices of 'time' variable and time step is tested by considering energy conservation as well as by direct analysis of particle trajectories. Methods for generating initial particle positions and velocities corresponding to a growing mode representation of a specified power spectrum of linear density fluctuations are described. The effects of force resolution are studied and different simulation schemes are compared. An algorithm is implemented for generating initial conditions by varying the number of particles, the initial amplitude of density fluctuations, and the initial peculiar velocity field.
Barrier Membranes for Guided Bone Regeneration (GBR): A Focus on Recent Advances in Collagen Membranes

Guided bone regeneration (GBR) has become a clinically standard modality for the treatment of localized jawbone defects. Barrier membranes play an important role in this process by preventing soft tissue invasion outgoing from the mucosa and creating an underlying space to support bone growth. Different membrane types provide different biological mechanisms due to their different origins, preparation methods and structures. Among them, collagen membranes have attracted great interest due to their excellent biological properties and desired bone regeneration results to non-absorbable membranes even without a second surgery for removal. This work provides a comparative summary of common barrier membranes used in GBR, focusing on recent advances in collagen membranes and their biological mechanisms. In conclusion, the review article highlights the biological and regenerative properties of currently available barrier membranes with a particular focus on bioresorbable collagen-based materials. In addition, the advantages and disadvantages of these biomaterials are highlighted, and possible improvements for future material developments are summarized.
Modeling Level of Service of Urban Roads Based on Travelers’ Perceptions

This research investigates and models the level of service for urban roads based on travelers’ perceptions. A video-based perception survey is utilized to collect the required perception data, in which the survey participants assessed the quality of operating conditions illustrated in the given video clips. The ratings stated by the study participants were statistically related to the corresponding traffic parameters associated with the video clips using a random-effects ordered probit modeling approach. The primary findings confirm that level of service was primarily dependent on average travel speed, as indicated by the significance of the measure of effectiveness known as the percent free-flow speed. Subsequently, a comprehensive exploratory analysis revealed that other traffic characteristics such as control delay, extra lanes, and proper medians also influenced the perception of service levels. Specific traveler characteristics like age, income and usage of particular vehicle classes also influenced the perception of the level of service on urban roads.
Design of Diamond Shaped Monopole Antenna for Radio Navigation, Radio Location and Satellite Services

This paper presents a diamond-shaped monopole antenna inscribed on an FR4 substrate. The proposed antenna covers a bandwidth of about 4.4875 GHz. The antenna is designed in a two-step iterative procedure. The proposed antenna is energized by the microstrip line feeding technique. The maximum achieved peak directivity and peak gain are 7.471604 dB and 5.409871 dB respectively. The antenna is designed and simulated using Ansys HFSS software from 15 GHz to 20 GHz. The antenna envelopes the applications like radio navigation, radio location, and satellite services.
Spectral energy distributions for galaxies in high redshift clusters.I. Methods and application to three clusters with 0.22 ≤ z ≤ 0.31.

On a obtenu les distributions de l'energie spectrale basse resolution pour environ 50 galaxies de chacun des amas A 1525, A 1942 et AC 103 jusqu'a une limite de Rf∼21. Les membres les plus brillants ne presentent pas d'anomalies. On a trouve quelques galaxies bleues. Aux grandes longueurs d'onde (860 nm) on observe quelques objets plus rouges que la moyenne dont la nature n'est pas elucidee. Il y a place pour une petite evolution dans la population des premiers types
A unified equivalent-circuit approach to the theory of AC and DC hopping conductivity in disordered systems

The Miller-Abrahams equivalent circuit is used to motivate an extension of the pair approximation to the AC hopping conductivity sigma ( omega ) of a random system, which embraces the DC limit sigma (0). The theory is simple to develop and readily yields both analytical and numerical results. The formulae obtained reproduce the pair approximation in the low-density limit and give known exact asymptotic results at high densities and high frequencies. The numerical predictions of the theory are compared with data obtained by direct numerical solution of Kirchhoff's equations for random networks. Excellent agreement is obtained for sigma (0) for energy-independent and energy-dependent hopping in 2D and 3D, and for sigma ( omega ) for energy-independent hopping in 3D.
Evolution of the fastest-growing relativistic mixed mode instability driven by a tenuous plasma beam in one and two dimensions

Particle-in-cell simulations confirm here that a mixed plasma mode is the fastest growing when a highly relativistic tenuous electron-proton beam interacts with an unmagnetized plasma. The mixed modes grow faster than the filamentation and two-stream modes in simulations with beam Lorentz factors Gamma of 4, 16, and 256, and are responsible for thermalizing the electrons. The mixed modes are followed to their saturation for the case of Gamma=4 and electron phase space holes are shown to form in the bulk plasma, while the electron beam becomes filamentary. The initial saturation is electrostatic in nature in the considered one- and two-dimensional geometries. Simulations performed with two different particle-in-cell simulation codes evidence that a finite grid instability couples energy into high-frequency electromagnetic waves, imposing simulation constraints.
Development of a Phase-Field Model for Simulating Dendritic Growth in a Convection-Dominated Flow Field

The effect of flow convection is taken into account in the currently developed phase-field model (PFM) for simulating dendritic growth. In previous PFM studies, flow over a stationary object is wrongly predicted since the predicted velocity magnitude near the fluid–solid interface is not negligibly small. To tackle this problem, the Navier-Stokes equations are solved only in the liquid, while zero flow velocity is prescribed in the stationary object. Simulated results are compared with those computed from two previously proposed models to justify the newly proposed phase-field model.
Propagation Measurement and Channel Characteristics of Small Office OAM Communication at 30 GHz

Orbital angular momentum (OAM) communication has been envisioned as a potential technology to increase capacity for 6G communication. In this letter, we present an OAM channel measurement campaign in an indoor small office at 30 GHz. Furthermore, the path loss is investigated and modeled by close-in (CI) model and floating-intercept (FI) model. It is found that the FI model fits the measured path loss better than the CI model, and the CI model may no longer appropriate for OAM wave propagation when the receiver is in the hollow radiation area of the OAM beam. Also, we investigate the K-factor and the results indicate that the divergence angle leads to more complicated multipath propagation characteristics of the wireless channel. Moreover, root mean square delay spread reveals that channel performance can be effectively improved when the receiver is within the direct radiation range of the OAM antenna. Generally, this work can be considered as a foundation of understanding and building channel models of indoor OAM communication systems.
Cathelicidin Attenuates Hyperoxia-Induced Lung Injury by Inhibiting Ferroptosis in Newborn Rats

High oxygen concentrations are often required to treat newborn infants with respiratory distress but have adverse effects, such as increased oxidative stress and ferroptosis and impaired alveolarization. Cathelicidins are a family of antimicrobial peptides that exhibit antioxidant activity, and they can reduce hyperoxia-induced oxidative stress. This study evaluated the effects of cathelicidin treatment on lung ferroptosis and alveolarization in hyperoxia-exposed newborn rats. Sprague Dawley rat pups were either reared in room air (RA) or hyperoxia (85% O2) and then randomly given cathelicidin (8 mg/kg) in 0.05 mL of normal saline (NS), or NS was administered intraperitoneally on postnatal days from 1–6. The four groups obtained were as follows: RA + NS, RA + cathelicidin, O2 + NS, and O2 + cathelicidin. On postnatal day 7, lungs were harvested for histological, biochemical, and Western blot analyses. The rats nurtured in hyperoxia and treated with NS exhibited significantly lower body weight and cathelicidin expression, higher Fe2+, malondialdehyde, iron deposition, mitochondrial damage (TOMM20), and interleukin-1β (IL-1β), and significantly lower glutathione, glutathione peroxidase 4, and radial alveolar count (RAC) compared to the rats kept in RA and treated with NS or cathelicidin. Cathelicidin treatment mitigated hyperoxia-induced lung injury, as demonstrated by higher RAC and lower TOMM20 and IL-1β levels. The attenuation of lung injury was accompanied by decreased ferroptosis. These findings indicated that cathelicidin mitigated hyperoxia-induced lung injury in the rats, most likely by inhibiting ferroptosis.
The fibroblast Tiam 1-osteopontin pathway modulates breast cancer invasion and metastasis

Background: The tumor microenvironment has complex effects in cancer pathophysiology that are not fully understood. Most cancer therapies are directed against malignant cells specifically, leaving pro-malignant signals from the microenvironment unaddressed. Defining specific mechanisms by which the tumor microenvironment contributes to breast cancer metastasis may lead to new therapeutic approaches against advanced breast cancer. Methods: We use a novel method for manipulating three-dimensional mixed cell co-cultures, along with studies in mouse xenograft models of human breast cancer and a histologic study of human breast cancer samples, to investigate how breast cancer-associated fibroblasts affect the malignant behaviors of breast cancer cells. Results: Altering fibroblast Tiam1 expression induces changes in invasion, migration, epithelial-mesenchymal transition, and cancer stem cell characteristics in associated breast cancer cells. These changes are both dependent on fibroblast secretion of osteopontin and also long-lasting even after cancer cell dissociation from the fibroblasts, indicating a novel Tiam1-osteopontin pathway in breast cancer-associated fibroblasts. Notably, inhibition of fibroblast osteopontin with low doses of a novel small molecule prevents lung metastasis in a mouse model of human breast cancer metastasis. Moreover, fibroblast expression patterns of Tiam1 and osteopontin in human breast cancers show converse changes correlating with invasion, supporting the hypothesis that this pathway in tumor-associated fibroblasts regulates breast cancer invasiveness in human disease and is thus clinically relevant. Conclusions: These findings suggest a new therapeutic paradigm for preventing breast cancer metastasis. Pro-malignant signals from the tumor microenvironment with long-lasting effects on associated cancer cells may perpetuate the metastatic potential of developing cancers. Inhibition of these microenvironment signals represents a new therapeutic strategy against cancer metastasis that enables targeting of stromal cells with less genetic plasticity than associated cancer cells and opens new avenues for investigation of novel therapeutic targets and agents.
Generalized Lagging Response of Thermoelastic Beams

The vibrations of Euler-Bernoulli metal beam are accommodated in the present study by taking into account the possibility of activating the microstructural effects, captured by the temperature gradient phase lag, in the fast transient process captured by the heat flux phase lag. The thermal moment is approximated as the difference between the top and the bottom surface temperatures (Massalas and Kalpakidis 1983). Three generalizations of the Biot model of thermomechanics are considered: Lord-Shulman, dual-phase-lag (Tzou 1997), and modified dual-phase-lag (Awad 2012). It is found that when the response time is shortened, the material dimensions are small, or when the method of heating is changed, the dual-phase-lag model records a significant decrease in the lattice variables. The spurious serrations of the classical thermoelastic wave are smoothed in the dual-phase-lag wave. The dual-phase-lag thermoelasticity is the closest macroscopic approach to the ultrafast model (Chen et al. 2002).
Geometric Prior and Deep Learning Co-Supported Normal Estimation for Point Cloud

: Point normals are fundamental geometric attributes of point clouds. To tackle traditional and learning-based technology problems, a normal estimation method is proposed based on geometric prior and deep-learning techniques. First, a multi-scale patch selection module is utilized to preserve surfaces features and details and to lower the learning difficulty of the subsequent network. Afterwards, combining local features and geometric prior, a normal optimization network is proposed to output the refined normals. Finally, when the average angle error metric is used, quantitative and qualitative experiments on synthetic and real-scanned data demonstrate that, compared with the mainstream point cloud normal estimation methods, the proposed method is more effective on both preserving features and robust to noise.