Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Gynecological Surgeries on Female Sexual Quality of Life: A Prospective Cohort Study

Objective: To investigate the impact of benign gynecological surgeries on postoperative female sexual quality of life three months after the procedure.Patients and Methods: The present study was a prospective study that included women who underwent gynecological surgeries for benign lesion such as hysterectomy, bilateral salpingo-oophorectomy (BSO), tubal ligation, anti-incontinence surgery, and pelvic organ prolapse reconstruction. All women were assessed using the sexual quality of life-female (SQOL-F) questionnaire.Results: One hundred and eighty-eight women were included. The most commonly performed procedure was hysterectomy (25%), followed by classical repair (21%) and myomectomy (7%). In addition, 78.19% of the women were multipara. Preoperatively, the mean SQOL-F total score was 56.04 ± 17.947, which increase significantly to reach 79.33 ± 17.645 at the end of the third month postoperatively (p <0.001). This significant difference was consistent regardless of the type of procedure. Regarding the domains of SQOL-F, there were statistically significant increases in the psychosexual feelings (21.16 ± 8.2 versus 30.49 ± 7.8, p <0.001), sexual and relationship satisfaction (16.71 ± 7.9 versus 21.88 ± 4.5, p <0.001), self-worthlessness (9.69 ± 3.5 versus 13.74 ± 3.13, p <0.001) and sexual repression (8.468 ± 3.7 versus 13.20 ± 3.9, p <0.001). Conclusion: In conclusion, most gynecological surgeries found to have positive impact on the female sexual function and quality of life. So that, sexual function should be taken into consideration in planning and preoperative counselling for gynecological surgery also post-operative follow-up.
Effect of Light Intensity on Rooting and Growth of Hydroponic Strawberry Runner Plants in a LED Plant Factory

To rapidly produce strawberry (Fragaria × ananassa Duch. cv. Benihoppe) transplants from cuttings, suitable light intensities for unrooted runner plants at the rooting stage and rooted runner plants at the seedling stage were determined in a plant factory under LED lighting. At the rooting stage, unrooted runner plants at the 3-leaf stage were hydroponically rooted for 6 days under light intensity of 30, 90, 150, and 210 μmol m−2 s−1, respectively. At the seedling stage, rooted runner plants were hydroponically grown for 18 days under light intensity of 90, 180, 270, and 360 μmol m−2 s−1, respectively. The tube LED lights consisting of white and red LED chips were used as sole light source, and photoperiod was controlled as 16 h d−1. The results showed that the maximum root number (7.7) and longest root length (14.8 cm) of the runner plants were found under 90 μmol m−2 s−1 at the rooting stage. Photosynthetic activity in runner plant leaves under 90 μmol m−2 s−1 were higher than that under 30, 150, and 210 μmol m−2 s−1. Higher light intensity at the range of 90–270 μmol m−2 s−1 increased the stomatal conductance of newly formed leaves of rooted runner plants, thus improving the net photosynthetic rate and growth of rooted runner plants at the seedling stage. The crown diameter, shoot and root dry weights, and root to shoot ratio of rooted runner plants increased by 9.7%, 38.8%, 106.1%, and 48.7%, respectively, when the light intensity increased from 90 to 270 μmol m−2 s−1. However, there was no further improvement of runner plant growth under 360 μmol m−2 s−1. Furthermore, no significant difference of increased dry biomass per mole of photons delivered was found between 180 and 270 μmol m−2 s−1. In consideration of transplant quality and economic balance, light intensity of 90 μmol m−2 s−1 at the rooting stage and 270 μmol m−2 s−1 at the seedling stage were suggested for rapidly producing hydroponic strawberry transplants based on unrooted runner plants in the LED plant factory.
Metformin Hydrochloride and Sitagliptin Phosphate Fixed-Dose Combination Product Prepared Using Melt Granulation Continuous Processing Technology

The development of oral solid dosage forms, such as tablets that contain a high dose of drug(s), requires polymers and other additives to be incorporated at low levels as possible, to keep the final tablet weight low, and, correspondingly, the dosage form size small enough to be acceptable from a patient perspective. Additionally, a multi-step batch-based manufacturing process is usually required for production of solid dosage forms. This study presents the development and production, by twin-screw melt granulation technology, of a high-dose immediate-release fixed-dose combination (FDC) product of metformin hydrochloride (MET) and sitagliptin phosphate (SIT), with drug loads of 80% w/w and 6% w/w, respectively. For an 850/63 mg dose of MET/SIT, the final weight of the caplets was approximately 1063 mg compared with 1143 mg for the equivalent dose in Janumet®, the marketed product. Mixtures of the two drugs and polymers were melt-granulated at temperatures below the individual melting temperatures of MET and SIT (231.65 and 213.89°C, respectively) but above the glass transition temperature or melting temperature of the binder(s) used. By careful selection of binders, and processing conditions, direct compressed immediate-release caplets with desired product profiles were successfully produced. The melt granule formulations before compression showed good flow properties, were larger in particle size than individual starting API materials and were easily compressible. Melt granulation is a suitable platform for developing direct compressible high-dose immediate-release solid dosage forms of FDC products.
Innovative Strategies for the Control of Biofilm Formation in Clinical Settings

Biofilm formation in clinical settings is an increasingly important issue particularly due to the emergence of multidrug-resistant strains, as it resulted in increased mortality, which poses a considerable financial burden on healthcare systems. The bacterial biofilms are quite resistant to the routine antimicrobial-based therapies; therefore, the novel strategies are desired in addition to the conventional antibiotics for the effective control of infections caused by biofilm-forming microbes. So far, the approaches being proposed to control the biofilm formation in clinical practice settings include the use of biofilm inhibitors and the use of modified biomaterials for the development of medical devices to thwart the formation of biofilms. In this chapter, we have focused on the latest developments in the anti-biofilm strategies through the interruption of the quorum-sensing system, which is crucial for biofilm formation and have summarized the various classes of antibacterial compounds for the control of biofilm formation. This agrees with the recent approaches suggested by the National Institute of Health (NIH) that advocates the use of combinational therapies based on the conventional methods and complementary treatment to explore the potential utility and safety concerns of the natural products. The studies regarding these emerging strategies could possibly lead to the establishment of better therapeutic alternates compared to conventional treatments.
Private Extremum Estimation

Private data analysis has been a recent an important topic in the statistics and computer science literature. Current results in statistics range from comparative analysis of different approaches to privacy to investigation of possibility of privacy breaches in particular data releases. However, little attention has been paid to privacy analysis in application to concrete estimation procedures. In this paper we bridge this gap by considering the behavior of M-estimators under a particular definition of privacy. Under general conditions, we provide the convergence rate and distribution results. In addition, for a particular class of objective functions, we show that our procedure attains a minimax rate over the class of estimators satisfying our notion to privacy.
Common Features of the Pericentromere and Nucleolus

Both the pericentromere and the nucleolus have unique characteristics that distinguish them amongst the rest of genome. Looping of pericentromeric DNA, due to structural maintenance of chromosome (SMC) proteins condensin and cohesin, drives its ability to maintain tension during metaphase. Similar loops are formed via condensin and cohesin in nucleolar ribosomal DNA (rDNA). Condensin and cohesin are also concentrated in transfer RNA (tRNA) genes, genes which may be located within the pericentromere as well as tethered to the nucleolus. Replication fork stalling, as well as downstream consequences such as genomic recombination, are characteristic of both the pericentromere and rDNA. Furthermore, emerging evidence suggests that the pericentromere may function as a liquid–liquid phase separated domain, similar to the nucleolus. We therefore propose that the pericentromere and nucleolus, in part due to their enrichment of SMC proteins and others, contain similar domains that drive important cellular activities such as segregation, stability, and repair.
Perspectives and adoption of mobile banking in Serbia: The case of young adults

This paper investigates the determinants of mobile banking adoption by the young adults in Serbia. Mobile banking is a major driver of change in retail banking globally. The pace of its adoption differs across regions and countries, with some emerging countries taking the lead. Building on a technology acceptance model and earlier studies, we define and test a model comprising five factors that we hypothesize to have an effect on the acceptance of mobile banking. The sample includes 202 respondents from the student population. In the first stage, we extract factors based on factorial analysis so as to provide a justification for the constructs and inputs used for further analysis. In the second stage, we use these factors as independent variables in a regression analysis, where the dependent variables represent behavioral intentions regarding the use of mobile banking. The results show that all five factors are positively associated with the dependent variables. Two factors, "perceived usefulness" and "perceived security", are singled out as the most prominent causes of intentions to use mobile banking, because they are statistically significant in each regression model. Our analysis suggests that "information on mobile banking" is the weakest factor, which is a surprising result having in mind its importance in other studies. We find the influence of the two remaining factors, "technological proficiency and conditions" and "perceived ease of use", to be varying.
Processing Compressible 4D-CT Medical Image by using Cellular Neural Network

: For 3-dimension image we use definition “voxel” (volumetic cell) instead of pixel (picture cell) of 2D. A single voxel particle consists parameter x,y,z for spatial dimensions. Data of voxel can be used to describe large objects and applied in video game, geology, astronomy, satellite image… and especially medical image processing. For surgery image collected from CT scanning picture such as brain, lung, heart, chest, hip… the object periodically change their location and size (respiration, heart rhythm, muscle and bone joint movement…) so the time element (t) must be added to parameter group of voxel. So the processing of motion image has relation with 4D-CT scan technique. The 4D-CT image processing requires IR, the virtue of which is to determine compatible cells among two consecutive image in movement. There are many methodes based on various indentification criteria (on optical flow, calculation model, geometrical characteristics…). They are popularly used in processing and calculation of medical images. However there are still many constraints ( such as accuracy or calculation optimization). With regards to medical image in general and lung tumour diagnosis in particular there are often many differnces because of cell flexibility and disruption. In general, those methodes yield good results if the strength of light is constant (Horn/ Schunk approach) but this condition is unrealistic because of lung movement based on respiratory rhythm which leads to variations of light on object (lung tissue) and causes discrepancies. We call CT image of affected tissues as compressible image. In this report we study speed calculation of optical flow of compressible CT 4D image. 4D image of large voxel volume and calcualtion complexity is a considerable challenge for existing PC based on sequence processing. In order to increase speed calculation we propose neuron cell parrallely processing network capable of calculating 4D optical flow in real time mode.
Distributed Species of Family Liliaceae and Iridaceae in Tarkapchigai Botanical-Geographical Region (Uzbekistan)

The research was carried in 2018-2019 years in Tarkapchigai botanical-geographical region. The article explores the representatives of the Liliaceae and Iridacea families, which are scattered in the in Tarkapchigai botanical-geographical region. It is known that Central Asia is the center of origin of geophytes (monocotyledon). During the study, from the Liliaceae family in this area Tulipa L. (6 species), Gagea Salisb. (12 species), Fritillaria L. (1 species) and from the Iridaceae family Crocus L. (1 species), Iris L. (7 species), Gladiolus L. (1 species) of were recorded.
Optimal Design in the Presence of Random Block Effects at Baseline

Optimal experimental designs are developed for linear regression models with both qualitative and quantitative factors of influence. In particular we generate a characterization of optimal designs for random blocked regression experiments where under few assumptions, this characterization allows to find the weights of the optimal design analytically by means of convex optimization. It is worth-while noting that the optimal weights depend on the ratio of the variance components. However, in this context, we show that in practical applications limiting optimal designs show a high efficiency, when the variance ratio approaches zero or infinity.
Comparison of regularized and superiorized methods for tomographic image reconstruction

We compare two approaches to image reconstruction in computed tomography (CT) which incorporate penalty functions to improve image quality in the presence of noisy data. The first approach adapts a previously proposed hybrid method for solving a regularized least squares problem, which simultaneously computes the regularization parameter and the corresponding solution. The second approach is based on the superiorization methodology, wherein the solution is perturbed between iterations of a feasibility-seeking algorithm to minimize a secondary objective. Numerical experiments indicate that while both approaches are able to significantly improve image quality, the heuristic applied to select the regularization parameter in the hybrid method does not generalize well to the CT reconstruction problem. The superiorization methodology is more effective, provided that a suitable stopping criterion can be determined.
Micronutrient deficiencies in pregnant women with plasmodiasis

Background: Two important barriers to a successful pregnancy outcome are maternal under nutrition and malaria. This study was conducted to determine some micronutrient deficiencies among pregnant women infected with Plasmodium falciparum in Owo, Ondo State, Nigeria Material and methods: Two hundred and fifty four participants aged 18 to 42 years consisting of 154 pregnant women attending antenatal clinic of the Federal Medical Center, Owo, and 100 apparently healthy non-pregnant women as controls were randomly enrolled in this study. Blood specimen was collected and analyzed for the detection of P. falciparum using 10% Giemsa staining technique while micronutrients (calcium, copper, iron and zinc) were analyzed using Atomic Absorption Spectrophotometer (AAS). Results: Out of 154 pregnant women studied, 91 (59.1%) had micronutrient deficiency (MND) while 5 out of 100 (5.0%) non-pregnant control had micronutrient deficiency (p < 0.0001). Forty three (27.9%) of the 154 pregnant women and 3 (3.0%) of 100 non-pregnant control had P. falciparum infection (p < 0.0001). Forty three of the 91 (47.3%) pregnant women and 3 of the 5 (60%) nonpregnant women with MND had P. falciparum infection (p = 0.6681). All 43 pregnant women with MND but none of the 63 pregnant women without MND had P. falciparum infection (p < 0.0001). Similarly, all 3 non-pregnant women with P. falciparum infection had MND but none of the 95 nonpregnant women without MND had P. falciparum infection (p < 0.0001). Multiple micronutrient deficiencies of iron and calcium (65.3%), iron and zinc (16.1%) and iron and copper (18.6%) were observed among pregnant women but none among non-pregnant women. Factors significantly associated with P. falciparum infection among pregnant women with MND were age group 23-27 years (p = 0.0109), first trimester gestational age (p = 0.0234), primiparity (p = 0.0303) and wet season (p < 0.0173). There was no significant association between anaemia and prevalence of P. falciparum infection in pregnant women with MND (p = 0.1327) but pregnant women with iron deficiency were more likely to be infected with P. falciparum than those with other micronutrient deficiencies (p = 0.0013) Conclusion: This study reported a higher prevalence rate of 27.9% for P. falciparum infection in pregnant women compared to 3% in non-pregnant women population, but a much higher rate of 47.3% among pregnant women with micronutrient deficiencies.
A PATHOGENETIC ROLE IN DIABETIC RENAL DAMAGE?

The renin-angiotensin aldosterone system (RAAS) is well-established to be involved in diabetic nephropathy. Several abnormalities in the RAAS have been described in diabetes mellitus, including an abnormal aldosterone to renin ratio, elevated angiotensin I-converting enzyme (ACE) levels, and altered angiotensin II sensitivity. Whereas the renoprotective properties of ACE-inhibition in diabetic nephropathy have been demonstrated more than a decade ago, somewhat surprisingly, the role of ACE-activity in the pathogenesis of diabetic nephropathy is not well established. This paper addresses the possible functional impact of genetic and environmental increased in ACE activity in the pathogenesis of diabetic renal damage, in the context of the various other abnormalities in the RAAS in diabetes. Human and experimental data on circulating and tissue ACE in diabetes are reviewed, as well as the associations of ACE with angiotensin I conversion, with pathophysiological responses, and with renal end organ damage. New data from our laboratory provide evidence for interaction between genetically regulation of ACE activity by the ACE (I/D) genotype and diabetes as an environmental factor. Moreover, for functional effects of the elevated ACE activity in terms of increased conversion of angiotensin I to angiotensin II are described. The effects of enhanced generation of angiotensin II are modulated by the angiotensin IIsubtype I receptor (AT1R). Altered AT1R sensitivity has been reported in diabetes that may further modulate the eventual effects of elevated ACE. Epidemiological data on the association of genetically elevated ACE activity with diabetic nephropathy provide support for a pathogenetic role of elevated ACE activity in diabetic nephropathy. Together, the data suggest that differences in ACE expression and activity, resulting from both genetic and environmental factors and their interaction can modulate the pathogenesis of diabetic nephropathy. Unravelling the nature of this interaction, with focus on modifiable environmental factors, may help to ameliorate the risk for nephropathy in diabetes. C h ap te r 6
High-speed backhaul networks : Myth or reality ? q

Wireless technology promises a realization of the long-standing vision of ubiquitous high-speed Internet access. WiFi-based wireless mesh networks that provide user access and wireless data transport over a multi-hop backhaul network are a promising incarnation of the above vision. However, while WiFi is successfully used to provide user connectivity via access points, we note that currently deployed wireless mesh networks show a dismal performance and lack mechanisms in the backhaul to provide an efficient and fair data transport over multiple hops. To assess the capabilities and the limitations of wireless backhaul networks, we are currently building MagNets, a next-generation wireless mesh network in the city of Berlin. Using MagNets, this paper provides insight on how to plan and design efficient wireless backhaul networks by describing the work breakdown and the lessons learned from the design and deployment process. Then, we perform a comprehensive performance evaluation to investigate the impact of a wide range of parameters to shed light on the potential and limitations of wireless backhaul networks. 2008 Elsevier B.V. All rights reserved.
Optimizing the Maximal Perturbation in Point Sets while Preserving the Order Type

Recently a new kind of fiducial marker based on order type (OT) has been proposed. Using OT one can unequivocally identify a set of points through its triples of point orientation, and therefore, there is no need to use metric information. These proposed order type tags (OTTs) are invariant under a projective transformation which allows identification of them directly from a photograph. The magnitude of noise in the point positions that a set of points can support without changing its OT, is named the maximal perturbation (MP) value. This value represents the maximal displacement that any point in the set can have in any direction without changing the triplet’s orientation in the set. A higher value of the MP makes an OTT instance more robust to perturbations in the points positions. In this paper, we address the problem of how to improve the MP value for sets of points. We optimize “by hand” the MP for all the 16 subsets of points in the set of OTs composed of six points, and we also propose a general algorithm to optimize all the sets of OTs composed of six, seven, and eight points. Finally, we show several OTTs with improved MP values, and their use in an augmented reality application.
Multichannel Active Noise Control Based on Filtered-x Affine Projection-Like and LMS Algorithms with Switching Filter Selection

Affine projection (AP) algorithms have been demonstrated to have faster convergence speeds than the conventional least mean square (LMS) algorithms. However, LMS algorithms exhibit smaller steady-state mean square errors (MSEs) when compared with affine projection (AP) algorithms. Recently, several authors have proposed alternative methods based on convex combinations to improve the steady-state MSE of AP algorithms, even with the increased computational cost from the simultaneous use of two filters. In this paper, we present an alternative method based on an affine projection-like (APL-I) algorithm and least mean square (LMS) algorithm to solve the ANC under stationary Gaussian noise environments. In particular, we propose a switching filter selection criteria to improve the steady-state MSE without increasing the computational cost when compared with existing models. Here, we validate the proposed strategy in a single and a multichannel system, with and without automatically adjusting the scaling factor of the APL-I algorithm. The results demonstrate that the proposed scheme exploits the best features of each filter (APL-I and LMS) to guarantee rapid convergence with a low steady-state MSE. Additionally, the proposed approach demands a low computational burden compared with existing convex combination approaches, which will potentially lead to the development of real-time ANC applications.