Miracle-dz/UniFAR-FTUs huggingface dataset:
Laparoscopic Intra-Ovarian Platelet Rich Plasma Injection for Ovarian Rejuvenation

Background: Ovarian failure, characterized by the loss of ovarian function, presents a significant challenge for women seeking to conceive. Conventional treatments have limitations in restoring ovarian function and fertility. Platelet-rich plasma (PRP) therapy has emerged as a potential regenerative approach for ovarian rejuvenation. The aim of this study was to assess the influence of intraovarian injection of PRP on ovarian function in a case with ovarian failure. Methods: This prospective interventional multi-center study included 50 women with primary and secondary ovarian failure selected from Obstetrics and Gynecology Department, Benha University Hospitals & other private centers. All patients were subjected to complete history taking, clinical examination, laboratory investigations including hormonal Laboratory evaluation of (FSH, LH, estradiol, AMH), PRP injection under intravenous anesthesia and post-operative follow up mainly for measuring ovarian hormones: FSH, LH, AMH, E2 every month for 6 months. Results: The current study included 50 patients. The mean age of them was (36.68 ± 6.36 years); range from (24 –45years). The median age (Q1, Q3) was 38 (32.75, 42). The mean serum follicle stimulating hormone (FSH) was 38.82 ± 20.38 (range 7.03 to 90.2) and its median (Q1, Q2) was 36.75 (19.75, 57). The mean serum luteinizing hormone (LH) was 21.43 ± 14.36 (range 4.3 to 65.5) and its median (Q1, Q2) was 16.9 (11.3, 28.7). The mean serum Estradiol hormone (E2) was 29.87 ± 22.72 (range 5 to 96) and its median (Q1, Q2) was 22.16 (13.1, 38.25). Conclusions: In the study group, intraovarian injection of PRP decreased FSH, LH, and increased E2 levels significantly, however it was less effective for boosting AMH levels. At 6-month intervals, the readings reverted to levels comparable to those that existed before to the PRP therapy. Therefore, PRP may be used alone or in conjunction with hormone therapy to treat infertility in women with poor ovarian reserve. In future clinical therapeutics, it might be regarded a time-efficient and cost-effective therapy technique.
Analgesic effect by using hot Plat and tail flick test in rats models for aqueuos moringa oleifer extract

Introduction Drugs and plants are closely related to each other through the use of traditional medicines that is mainly prepared from plants. Plants are screened for presence of bioactive components responsible for the activity. Various types of plants have been used not only as dietary supplements but also as traditional treatments for many diseases. Moringaoleifera of Moringaceae is a potential source of phytochemical ingredients claimed to have analgesic property. Objective The present study aimed to investigate the analgesic activity of Moringaoleifera extract in albino rats by using taıl flıck and hot plat test. Methods: Leaves of Moringaoleifera were collected April 2022 from Surman (Libya). And then the powder was macerated in 1 L of distilled water for 3 days and evaporated to dryness by rotary evaporator. The crude extract was administered by oral gavaging in doses (50mg/kg_100mg/kg). The study was done by using experimental models, the albino rats were divided into 4 groups, each group consisting of 3 rats. Group I: Control (dH2O given orally at 2 ml/kg); Group II: Standard (100 mg/kg of Panadol orally.); Group III, IV, (MOE 50, 100 mg/kg, respectively), the analgesic effect was evaluated by using taıl flıck and hot plat test, through the reaction time was recorded in various time intervals) 60, 90, and 120 minutes). Results: MOE significantly a high significant increase in latency response (P<0.001) in comparison to control and standrad. Conclusion: These results indicate the ability of MOE to inhibit thermally induced nociceptive processes, which is a characteristic of strong analgesics
Optimization of Energy Consumption in 5G Networks Using Learning Algorithms in Reinforcement Learning

The 5G network is an evolution of the 4G LTE (Long Term Evolution) fast internet network that is widely adopted in smart phones or gadgets. 5G networks offer faster wireless internet for various purposes. This research is a literature review of several articles related to machine learning, specifically regarding energy consumption optimization with 5G networks and reinforcement learning algorithms.The results show that various techniques have evolved to overcome the complexity of large energy intake including integration with 5G networks and algorithms have been completed by many researchers. Related to electricity consumption, it was found that during 5G use cases, in a low site visitor load scenario and while reducing power intake takes precedence over QoS, power savings can be made by 80% with 50 ms latency, 75% with 20 ms and 10 ms latency, and 20% with 1 ms latency. If QoS is prioritized, then power savings reach a maximum of five percent with minimum impact in terms of latency. Moreover, with regards to power performance, it has been observed that DQN-assisted motion can offer improvements.
Some Semen Characteristics and Oxidant/Antioxidant Markers of Chilled Diluted Rabbit Semen in Tris-Based Extender Supplemented with Wheat Germ Extracts

HEAT germ(WG) was a rich source in antioxidants, and had antimicrobial effects also it proved to have anticold-shock effect in preservation of diluted semen. This study aimed to clarify how various types of wheat germ extracts (including oil, hydroethanolic, and water extracts) in combination with egg yolk contribute to the preservation of buck semen when subjected to the cooling procedure. WG was extracted with petroleum ether (for oil extract), hydroethanol extract and water extract. Chemical analysis of WG extracts was performed by Gas Chromatography to detect saturated and unsaturated fatty acids. Additionally, the antioxidant capacity and metal chelation and reducing power of the hydroethanolic extracts were determined. A pilot experiment was designed to choose the optimum best concentration among 5 concentrations (100-500 µg/ml increament). The concentrations of 200, 300 and 400 µg/ml tris-base were chosen for the study. Diluted semen samples were cooled at 4°C for 48 hours. Sperm motility, viability, abnormality, membrane and acrosome integrity were evaluated in chilled semen during the chilling period. The Malondialdehyde (MDA, nmol/ml) and Catalase (CAT, U/L), in diluted semen, were assessed after 48 hours of chilling. The best extract that conserved a high motile viable sperm with low lipid peroxidation and oxidative stress was the WG oil extract at a concentration of 200 and 300 µg/ml, with egg yolk addition. The WG oil extract was the best in most characteristics specially live sperm (86.33%), acrosome integrity (65.55%), hyperosmotic swelling test (HOST, 56.00%) and CAT (413.12 U/L), while, decrease in abnormal sperm (19.78%) and MDA (35.45 nmol/ml). In conclusion, the use of wheat germ oil extract (200 to 300 µg/ml with less than 5% egg yolk) is suitable for preserving diluted rabbit buck semen for a period of 48 hours during the cooling process.
Visual Speech Recognition using MV Features

:- This paper proposes a visual speech recognition (VSR) system built using combined pixel based features and mean-variance (MV) feature. DCT and DWT are the two pixel transform approaches which are used to extract the features from the visual speech (visemes). This work focuses on the MV features for lip reading that are extracted from each visemes and have been combined with pixel based transform features. VSR system is built separately using DCT coefficients, wavelet coefficients, combined DCT-MV and DWT-MV. The extracted features are modeled by L-to-R Gaussian HMM. The English digit datasets were used for the experimental purpose. The recognition performance of VSR system using DCT features gives 65% accuracy and DWT based features gives 72.3%. The proposed combined system gives 73.5% recognition accuracy for DCT-MV and 86.6% for DWT-MV features. Experiments prove that the combined system improves the recognition accuracy.
A Dynamically Conﬁgurable PUF and Dynamic Matching Authentication Protocol

A physical unclonable function (PUF) is a hardware security primitive, which can be used secure various hardware-based applications. As a type of PUFs, strong PUFs have a large number of chal-lenge-response pairs (CRPs), which can be used for authentication. At present, most strong PUF structures follow a one-to-one input/output relationship, i.e., linear function. As such, strong PUF designs are vulnerable to machine learning (ML) based modeling attacks. To address the issue, a dynamically con ﬁ gurable PUF structure is proposed in this article. A mathematical model of the proposed dynamic PUF is presented and the design is proposed against the effective ML based attacks, such as deep neural network (DNN), logistic regression (LR) and reliability-based covariance matrix adaptation evolution strategies (CMA-ES). Experimental results on ﬁ eld programmable gate arrays (FPGAs) show that the proposed dynamic structure has achived good uniqueness and reliability. It is also shown that the dynamic PUF has a strong resistance to the CMA-ES attack. Due to the dynamic nature of the proposed PUF structure, an authentication protocol is also designed to generate recognizable authentication bits string. The protocol shows strong resistance to classical machine learning attacks including the new variant of CMA-ES.
Design of novel stripline diplexer using frequency dependent couplings

A novel stripline diplexer design using frequency dependent couplings to achieve multiple transmission zeros is developed in this paper. The transmission zeros generated by the frequency dependent couplings are ﬂexible and controllable, on the basis of the existing cross-coupled, more transmission zeros are introduced to improve the frequency selection characteristics. Based on this characteristic, we designed a 2.6G Hz diplexer, its transmitting channel ﬁlter is 5 order with 4 transmission zeros, and the receiving channel ﬁlter is 4 order with 5 transmission zeros. We fabricated and measured it, the synthesis results, simulation results, and the tested results are well matched with each other, which will provide more ﬂexibility in the design of diplexers for wireless communication system.
Some Myths, Some Truths, and Some Hope

Header bidding (HB) is a relatively new online advertising technology that allows a content publisher to conduct a client-side (i.e., from within the end-user’s browser), real-time auction for selling ad slots on a web page. We developed a new browser extension for Chrome and Firefox to observe this in-browser auction process from the user’s perspective. We use real end-user measurements from 393,400 HB auctions to (a) quantify the ad revenue from HB auctions, (b) estimate latency overheads when integrating with ad exchanges and discuss their implications for ad revenue, and (c) break down the time spent in soliciting bids from ad exchanges into various factors and highlight areas for improvement. For the users in our study, we ﬁnd that HB increases ad revenue for web sites by 28% compared to that in real-time bidding as reported in a prior work. We also ﬁnd that the latency overheads in HB can be easily reduced or eliminated and outline a few solutions, and pitch the HB platform as an opportunity for privacy-preserving advertising.
Influence of the Pyrolysis Mode of Flax Shive on Product Composition

Flax shive is a highly lignified nonfibrous plant parts obtained from the scutching of straw flax to produce fibers. It is one of the multi-tonnage agricultural wastes. The use of the flax shive as a source for the valuable products is a promising way to solve the problem of the waste processing. This work is devoted to the study of composition and properties of the products of slow and fast pyrolysis of the flax shive. It was found that the slow pyrolysis results in a higher degree of the feedstock decomposition as well as in a higher yield of valuable gases and liquids. The gaseous product yield was found to be over 35 wt. % for the slow pyrolysis, and about 25 wt. % for the fast pyrolysis. For the gaseous products, methane concentration was found to be twice lower for the fast pyrolysis in comparison with the slow one. This decreases the calorific value of gases and leads to the low feasibility of the process. Interestingly, the fast pyrolysis resulted only 20 wt. % of liquids, while for the slow one, a twice increase (ca. 40 wt. %) of liquid yield was obtained. The liquid obtained in a fast mode contained the higher number of carboxylic acids and furanes, while the product obtained in a slow pyrolysis was characterised by the higher concentration of phenols, aldehydes and hydrocarbons increasing its further application. The solid residue obtained by the slow pyrolysis was found to have a higher porosity in comparison with the sample obtained by the fast mode. As the solid residue can be used as an adsorbent, the porosity is a critical parameter to choice the proper mode for flax shive thermal processing.
An Analysis of Federated Learning Performance in Mobile Networks

The increase in personal data collection for service customization threatens users' privacy. In federated learning, privacy can be preserved by distributing the learning process, where only neural networks' weights are shared between clients and servers. This work evaluates the impact of different networks parameters on the performance of federated learning models in a mobile-oriented scenario. Particularly, we consider the performance of convolutional neural networks for image classification. The experiments use the Flower framework and the CIFAR-10 dataset for image classification. Typical parameters in mobile networks, such as latency, connectivity, data volume, and client availability, are evaluated. Our results show that, in addition to the increase in total training time, a higher number of disconnected users in a training round can negatively impact the model performance. These results indicate the need for client-server orchestration to perform dynamic adaptation of network conditions.
Performance Comparison of Teleoperation Interfaces for Ultra-Lightweight Anthropomorphic Arms

This paper presents a comparative performance evaluation of three different teleoperation interfaces for very low weight (<3 kg) anthropomorphic dual arms intended to conduct complex manipulation tasks involving a certain level of dexterity, accuracy and agility, either in ground service or in aerial manipulation applications. A visual human pose estimation system is developed to obtain the Cartesian and joint values of the user, which are mapped to the corresponding pose of the dual arm manipulator exploiting the equivalent human-robot kinematics. A leader-follower scheme is also presented, using a reduced scale dual arm that can replicate directly the joint positions of the leader arms to the follower arms. A 6-DOF (degrees of freedom) joystick is proposed to generate linear motions more accurately. A total of 60 ground tests were conducted involving 10 participants to determine the accuracy and time performance in two benchmarks (box edges and S contour tracking). Finally, the visual and leader-follower interfaces were evaluated with the dual arm aerial manipulator on flight tests, reporting several findings derived from the system evaluation.
Relationship of CD4 lymphocyte counts to survival in a cohort of hemophiliacs infected with HIV. Multicenter Hemophilia Cohort Study.

Although CD4 positive lymphocyte counts are important predictors of clinical events in persons infected with human immunodeficiency virus (HIV), little is known about their predictive value for survival. We analyzed CD4 counts obtained regularly since 1983 with regard to survival in a multicenter cohort study of 921 HIV-infected hemophiliacs of whom 177 have died. Dates of seroconversion were determined from stored serum samples. Cumulative mortality and actuarial survival rates were calculated from the first time the mean of two consecutive CD4 counts decreased from levels of > 500 to 200-499, 100-199, 50-99, and < 50 cells/microliter. The death rate per 100 patient years of observation was 0.87 (95% CI 0.27, 1.47) for those with CD4 counts of > 500 cells/microliter and increased progressively to 26.23 (95% CI 21.29, 31.17) for those with CD4 counts of < 50/microliter. HIV-related deaths occurred in 50 of 58 who died with CD4 counts of < 300/microliter compared to 0 of 6 who died with CD4 counts of > 500/microliter. The median CD4 count most proximal to death was 39.5 (range, 1-945). The 10-year actuarial estimate of survival from seroconversion was 77.3 +/- 2% for 546 persons who seroconverted at age > or = 18 years compared to 90.5 +/- 2% for 375 persons who seroconverted at age < 18. Survival decreased at each CD4 level to a median of 27 months at CD4 counts of < 50/microliter. At each CD4 level, younger patients survived longer than older patients. (ABSTRACT TRUNCATED AT 250 WORDS)
GPUs in Real-Time Applications - A Review of Techniques for Analyzing and Optimizing the Timing Parameters

Autonomous driving is attracting an increasing attention in industry, not only in the automotive sector, but also in the transport of people or goods by road or railway and in more controlled manufacturing environments. The cyber-physical systems that are being proposed for this type of applications require a large computing capacity (hardware architectures with several cores, GPUs, NPUs.) to be able to attend and react to a multiple and complex amount of sensors (cameras, radar, LiDAR, measure of distance, etc.). On the other hand, this type of system must meet both safety and real-time requirements. This last aspect poses challenges on which intensive work is being done and on which there are still many open issues. In this work, a review of the most recent literature on the use of heterogeneous architectures with GPUs in real-time applications is made. These works mainly propose some solutions to the estimation of bounds to the execution times and response times, and consider di ff erent optimization strategies emphasising memory interference mitigation.
An Investigation the Impact of Knowledge Sharing on Improving Innovation in Companies ( Case Study: PERGAS International Consortium)

Creating the success factors of an organization such as organizational creativity, service quality depends on accessibility and efficient use of superior knowledge and better use of knowledge sharing; The purpose of this study is to study the effect of knowledge sharing on the improvement of innovation in companies (Case study: PERGAS International Consortium) which is applied in terms of purpose and is a descriptive survey research. The statistical population of this research is the managers and staff of the PERGAS International Consortium, which is about 635 people based in Kish; Taking into account the error rate of 0.5, the probability of success of 0.5 and the target population of 635 people, the number of samples required for this study was determined to be about 240 tons. That the same amount has been analyzed; The stratified random sampling method was proportional; Data analysis for the hypotheses was linear regression analysis; The results of data analysis showed that knowledge sharing and its types (tacit and explicit knowledge sharing) had a positive and significant effect on innovation and its elements (speed and quality).
A Multidirectional and Multiscale Morphological Index for Automatic Building Extraction from Multispectral GeoEye-1 Imagery

This study proposes a novel morphological building index (MBI) for automatic building extraction from high-resolution remotely sensed imagery. The basic idea of MBI is to build a relationship between the implicit characteristics of buildings (e.g., brightness, size, and contrast) and the properties of morphological operators (e.g., reconstruction, granulometry, and directionality). Buildings are extracted by performing a threshold on the MBI feature image. Subsequently, the shape features, such as area and length-width ratio, are used to refine the binary building map. In order to validate the proposed algorithm, a comparative study was performed between MBI, a recently developed texture-derived built-up presence index (PanTex), and the widely used object-based approach. Experiments were conducted on a multispectral GeoEye-1 image, covering a study area of 5.5 km by 5.3 km in Hongshan district of Wuhan, central China. In experiments, MBI achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection. The effects of parameters of MBI were also analyzed in detail, including directions, sizes and the binaryzation threshold.
High-performance autofocusing for light-weight SAR platforms

Autofocusing is one of the key steps in the high-resolution SAR imaging. In the paper several important improvements to the recently developed local-quadratic map-drift autofocus are proposed. Important SAR image preprocessing steps applied before the local Doppler rate errors estimation are described. The weighting scheme for the evaluation of residual cross-track acceleration components is developed. It is illustrated that accounting of the local image contrast leads to better estimation precision. Also it is shown that the usage of measured real antenna orientation angles results in more reliable estimation of the local Doppler rate errors. Performance of the trajectory reconstruction technique is tested with experimental data obtained with X-band airborne SAR system.
Comptes Rendus Mathématique

Wedevelopapoint-freeapproachforconstructingtheNakano–Vashaw–Yakimov–Balmerspectrum of a noncommutative tensor triangulated category under certain assumptions. In particular, we provide a conceptual way of classifying radical thick tensor ideals of a noncommutative tensor triangulated category using frame theoretic methods, recovering the universal support data in the process. We further show that there is a homeomorphism between the spectral space of radical thick tensor ideals of a noncommutative tensortriangulatedcategoryandthecollectionofopensubsetsofitsspectrumintheHochsterdualtopology.