Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Number of Supernumerary Blastocysts Cryopreserved and Probability of a Live Birth Outcome after Single Fresh Blastocyst Transfer: Analysis of over 10 Thousand Cycles

The ability to predict the likelihood of a live birth after single fresh embryo transfer is an important part of fertility treatment. While past studies have examined the likelihood of live birth based on the number of oocytes retrieved and cleavage-stage embryos available, the odds of a live birth based on the number of supernumerary blastocysts cryopreserved following a fresh embryo transfer has not been rigorously studied. We performed a retrospective analysis, stratified by age, on patients undergoing their first fresh autologous single day 5 blastocyst transfer to assess relationship between the likelihood of a live birth and number of supernumerary blastocysts cryopreserved. In patients aged <35 years and 35–39 years old, the likelihood of a live birth increased linearly between 1 and 6 supplementary blastocysts and non-linearly if 10 or more blastocysts were cryopreserved. When aged 40 years and above, the likelihood of a live birth increased linearly up to 4 cryopreserved blastocysts and then non-linearly if 10 or more blastocysts were cryopreserved. The present study demonstrated a non-linear relationship between the number of supernumerary blastocysts cryopreserved and the likelihood of a live birth after single blastocyst transfer in the first autologous fresh IVF/ICSI cycle across different age groups.
Research On the Impact of Margin Trading on The Stock Idiosyncratic Volatility

In classical asset pricing model, expected stock return is only determined by systematic risk, and idiosyncratic risk can be completely dispersed without asset pricing effect. However, the real world and the assumptions of classical asset pricing model are different, as idiosyncratic risk cannot be completely dispersed and has pricing effect. Recent studies found that the stock idiosyncratic volatility can actually predict stock return negatively, indicating the existence of the " Idiosyncratic volatility puzzle" in the Chinese stock market. There are constraints on margin trading in the Chinese stock market, which can affect investors' investment behavior and expectation of stock return. This article adopts difference-in-differences model and multivariable linear regression mode to test the impact of margin trading on idiosyncratic volatility, and further investigate the impact of margin trading on the " Idiosyncratic volatility puzzle ". The research results found that: In the process from the establishment of the margin trading system to the gradual expansion of underlying stocks, the impact of margin trading on idiosyncratic volatility has shifted from a positive impact to a negative impact. That is to say, margin trading has transitioned from initially increasing idiosyncratic volatility to later reducing idiosyncratic volatility, gradually playing a role in price discovery and reducing idiosyncratic risk in the stock market. The gradual improvement of the margin trading system is driving the development and maturity of the Chinese stock market.
The Orbits of Jupiter’s Irregular Satellites

We report on the improved ephemerides for the irregular Jovian satellites. We used a combination of numerically integrated equations of motion and a weighted least-squares algorithm to fit the astrometric measurements. The orbital fits for 59 satellites are summarized in terms of state vectors, post-fit residuals, and mean orbital elements. The current data set appears to be sensitive to the mass of Himalia, which is constrained to the range of GM = 0.13–0.28 km3 s−2. Here, GM is the product of the Newtonian constant of gravitation, G and the body's mass, M. Our analysis of the orbital uncertainties indicates that 11 out of 59 satellites are lost owing to short data arcs. The lost satellites hold provisional International Astronomical Union (IAU) designations and will likely need to be rediscovered.
Further results on exponential stability of discrete‐time BAM neural networks with time‐varying delays

This paper is concerned with the exponential stability for the discrete‐time bidirectional associative memory neural networks with time‐varying delays. Based on Lyapunov stability theory, some novel delay‐dependent sufficient conditions are obtained to guarantee the globally exponential stability of the addressed neural networks. In order to obtain less conservative results, an improved Lyapunov–Krasovskii functional is constructed and the reciprocally convex approach and free‐weighting matrix method are employed to give the upper bound of the difference of the Lyapunov–Krasovskii functional. Several numerical examples are provided to illustrate the effectiveness of the proposed method. Copyright © 2017 John Wiley & Sons, Ltd.
A pilot study on ultrashort peptide with fluconazole: A promising novel anticandidal combination

Background and Aim: Human infections caused by Candida albicans are common and range in severity from relatively treatable skin and mucosal conditions to systemic, fatal invasive candidiasis. The treatment of fungal infections is challenged by major obstacles, including the scarcity of effective therapeutic options, the toxicity of available medications, and the escalating antifungal resistance. Hence, there exists an urgent need to develop new classes of antimicrobial agents. This study was conducted to investigate the effect of KW-23 peptide against standard and resistant strains of C. albicans alone and in combination with fluconazole. Materials and Methods: A conjugated ultrashort antimicrobial peptide (KW-23) was designed and synthesized. KW-23 was challenged against standard and multidrug-resistant C. albicans alone and in combination with fluconazole using standard antimicrobial and checkerboard assays. The toxicity of the peptide was examined using hemolytic assays. Results: KW-23 positively affected the standard and resistant Candidal strains (at 5 and 15 μg/mL respectively), exhibiting potent synergistic antimicrobial activity against the standard strain when combined with fluconazole. The effect of the combination was additive against the resistant strain (0.6 μg/mL). Furthermore, the peptide exhibited negligible toxicity on human erythrocytes. Conclusion: KW-23 and its combination with fluconazole could be a promising candidate for developing anticandidal agents.
GoPrintBot: An Interactive E-Commerce for Online Printing Services

GoPrintBot is an innovative endeavor focused on creating an interactive e-commerce chatbot tailored specifically for online printing services. The primary objective is to enhance the customer experience by offering a seamless and efficient ordering process, eliminating the need for customers to navigate complex websites or wait for customer service representatives. This study addresses common issues encountered in traditional e-commerce platforms, including unintuitive navigation, ineffective search and filter systems, and slow response times for customer inquiries. The proposed solution involves developing a chatbot system that will revolutionize the online printing industry, significantly improving the customer experience and operational efficiency. The methodology employed encompasses comprehensive requirements gathering, followed by the design and development of the chatbot system using established System Development Life Cycle (SDLC) methodologies. GoPrintBot serves as a prototype, showcasing the potential of chatbots to streamline the online printing process and provide personalized and efficient services. The findings of this study have significant implications for businesses that prioritize customer satisfaction and aim to optimize their online printing services.
Regularization for Cholesky Decomposition in Massive MIMO Detection

In this letter, we propose a new regularization approach to low-precision Cholesky decomposition. This decomposition is employed to inverse an ill-conditioned matrix in the linear detector of the Multi-User Massive Multiple Input, Multiple Output (MU-MIMO) receivers. The proposed method was implemented in half-precision format and tested in realistic scenarios generated by the QuaDRiGa 2.0 channel. Simulations show that our approach demonstrates performance close to the single precision implementation. In high interference scenarios, it outperforms state-of-the-art alternatives, such as regularization based on weighted noise power.
Graphene Oxide Composites as Environmentally-Friendly Enzyme Inhibitors

This work presents a concise approach to synthesizing water-soluble and homogeneous nanocomposites of "graphene oxide/phosphoramide ligands" (GO/L) without the need for additional reducing agents. These nanocomposites have the potential to exhibit enhanced biological applications, such as antifungal, enzyme immobilization and antibacterial activities, compared to bare graphene oxide (GO) and phosphoramides. This research delves into the detailed investigation of three GO-based membranes, where GO serves as substrate for phosphoramide ligands. It has been demonstrated that these membranes possess wider interlayer D-spacing compared to GO. The compounds were characterized using various analytical techniques, including IR and NMR spectroscopy, AFM, XRD analysis, and UV-visible spectroscopy. Furthermore, this study delved into the mechanisms underlying the immobilization of Acetylcholinesterase enzyme (AChE) by GO and its newly synthesized derivatives. The results obtained from this study demonstrated that the GO/L films possessed enhanced biological activity compared to both phosphoramide ligands and bare GO alone. The objective of this research was to develop simple and efficient methods for synthesizing potent compounds that can find applications in various biological fields. Notably, these compounds offer advantages in terms of their environmental friendliness, cost-effectiveness, and time efficiency. The findings of this investigation contribute to a deeper understanding of GO-based membranes and open possibilities for rational design in diverse areas such as drug development and food industry.
Acceptance of Telemedicine Compared to In-Person Consultation From the Providers' and Users’ Perspectives: Multicenter, Cross-Sectional Study in Dermatology

Background Teledermatology is currently finding its place in modern health care worldwide as a rapidly evolving field. Objective The aim of this study was to investigate the acceptance of teledermatology compared to in-person consultation from the perspective of patients and professionals. Methods This multicenter, cross-sectional pilot study was performed at secondary and tertiary referral centers of dermatology in Switzerland from August 2019 to January 2020. A customized questionnaire addressing demographics and educational data, experience with telemedicine, and presumed willingness to replace in-patient consultations with teledermatology was completed by dermatological patients, dermatologists, and health care workers in dermatology. Results Among a total of 664 participants, the ones with previous telemedicine experience (171/664, 25.8%) indicated a high level of overall experience with it (patients: 73/106, 68.9%, dermatologists: 6/8, 75.0%, and health care workers: 27/34, 79.4%). Patients, dermatologists, and health care workers were most likely willing to replace in-person consultations with teledermatology for minor health issues (353/512, 68.9%; 37/45, 82.2%; and 89/107, 83.2%, respectively). We observed a higher preference for telemedicine among individuals who have already used telemedicine (patients: P<.001, dermatologists: P=.03, and health care workers, P=.005), as well as among patients with higher educational levels (P=.003). Conclusions This study indicates that the preference for teledermatology has a high potential to increase over time since previous experience with telemedicine and a higher level of education were associated with a higher willingness to replace in-patient consultations with telemedicine. We assume that minor skin problems are the most promising issue in teledermatology. Our findings emphasize the need for dermatologists to be actively involved in the transition to teledermatology. Trial Registration ClinicalTrials.gov NCT04495036; https://classic.clinicaltrials. gov/ct2/show/NCT04495036
Integrating democracy learning and prophetic social studies at Baitusalam Islamic School Yogyakarta

This paper describes an attempt to integrate Islamic and scientific values into social studies education with the aim of developing prophetic social science theory to explain social problems from this perspective. The study focuses on the implementation of this theory at Baitusalam Islamic School in Yogyakarta, using qualitative research methods such as observation, interviews, and documentation. The findings suggest that social studies learning Islamic values that develop boarding power, with the learning process incorporating these values into planning, implementation, and assessment. However, the study also identifies challenges in the integration process, such as the lack of student textbook references that integrate values into Islamic language for each material, insufficient learning media, and inadequate infrastructure in schools. Overall, this study highlights the importance of integrating Islamic and scientific values into social studies education to develop young people's sense of nationalism, independence, and character, while acknowledging the need to address these challenges for effective implementation.
Adaptive Robust Nonlinear Control Design for Course Tracking of Ships Subject to External Disturbances and Input Saturation

An adaptive robust control law is proposed for the course tracking problem of ships in this paper incorporating a Nussbaum function and an auxiliary dynamic system into the adaptive dynamic surface control (DSC) technique. The ship steering dynamics is described by the Norrbin nonlinear model with completely unknown control coefficient, parameter uncertainties, and unknown external disturbances and input saturation caused by the rudder constraint. The Nussbaum function is adopted to deal with completely unknown control coefficient and avoid the controller singularity problem. An auxiliary dynamic system is introduced to handle the effect of input saturation. The DSC technique makes the control law be simple to compute and easy to implement in engineering practice. It is proved that the proposed course tracking control law of ships makes the course tracking error be arbitrarily small by an appropriate choice of the design parameters and guarantees the uniform ultimate boundedness of all signals in the closed-loop ship course control system. Finally, simulation results on two ships and simulation comparison with an existing adaptive neural control scheme demonstrate the effectiveness and the superiority of the proposed control scheme.
Partisan Memes as a Catalyst for Homophilous Networks

ABSTRACT Although diverse political networks are seen as democratically valuable, online social networks enable the construction and maintenance of networks that are less diverse. In this study, we explore the cultivation of like-minded networks through blocking those sharing counter-attitudinal partisan memes and engaging with pro-attitudinal partisan memes. We then test the efficacy of an intervention to reduce the spread of homophily-inducing partisan memes. We present four experiments. Study 1 establishes that people react differently to partisan memes than to partisan news. Studies 1–4 confirm that people react differently to pro- and counter-attitudinal memes. Studies 3 and 4 provide limited evidence that reminding people of the diversity of their online networks can reduce digital behaviors that produce more homophilous networks. The results provide initial evidence that partisan memes may give rise to a spiral of homophily.
Isokinetic Hamstrings-to-Quadriceps Peak Torque Ratio in Combat Sports: A Systematic Review and Meta-analysis

Combat sports are very demanding in terms of physical fitness as well as the risk of injury. Elite athletes during daily training due to specific movements can develop significant muscle asymmetry that can affect injury. The aim of this study was to systematically review the existing literature with respect to total average value of hamstrings- to-quadriceps (H/Q) 60°·s-1 and H/Q 180°·s-1 in judo, karate, taekwondo and wrestling. We placed special emphasis on sex-based differences and possible asymmetries between legs in terms of isokinetic performance. This document was developed and reported in accordance with the Guidelines for Preferred Reports for Systematic Reviews and Meta-Analyzes (PRISMA). Web of Science, PubMed and Google Scholar were searched for the relevant studies. Studies were included in the review if they were original and written in English and had to have H/Q ratio measured as an outcome. In total, data from 243 athletes from eleven studies included studies was analysed. The Mean of H/Q 60°·s-1 for all sports were: 58.33% for the right leg and 58.91% for the left leg. Women had higher values: 59.38% vs. 57.42% for the right leg and 61.35% vs. 56.56% for the left leg. The Mean of H/Q 180°·s-1 for all sports were: 71.44% for the right leg and 71.35% for the left leg. Women had higher values: 75.76% vs. 69.04% for the right leg and 73.39% vs. 70.33% for the left leg. All these values, combined for all sports, and divided into subgroups according to gender, show that they are within the recommended values. Combined results for all included studies showed that there was no asymmetry between the left and right leg. According to the results of the balance of the mentioned agonists and antagonists, which are crucial for knee joint stabilization during dynamic muscle contractions, we can conclude that athletes in combat sports do not represent a risk group.
Numerical Flow Field Prediction Downstream of Axial Guide Vane Swirl Generator

This paper utilizes current state of art in CFD simulations suitable for engineering application. The object of interest is an axial guide vane swirl generator often found in process burners. The aim is to validate available turbulence models suitable for flow field prediction in industrial combustors. The grid independence study on four grids supports choice of used grid. Influence of the outlet shape on the flow field inside the chamber and especially on recirculation zone shape is proved. Last, the comparison of the three turbulence models is provided. The most accurate is identified the Reynolds Stress turbulence model. Predicted velocity fields are compared with the measured data obtained from the literature. CFD predictions of all the turbulence models underestimate peak axial velocity and overestimate velocity in central recirculation zone on the chamber axis.
Statistical methods for the analysis of unbalanced matched case-control designs.

Author(s): Gulesserian, Sevan K. | Advisor(s): Gillen, Daniel L | Abstract: The research presented in this thesis focuses on the analysis of data arising from matched case-control designs, with particular emphasis on case-crossover designs. We begin by providing a scientific example that motivates the research presented, highlighting statistical issues raised in addressing the scientific goal of study. We provide background and notation that lays the foundation for the remainder of the dissertation. The occurrence of repeated events per patient or cluster and an imbalance in cluster sizes poses statistical challenges in the analysis of case-crossover studies (or more generally in matched case-control studies). We begin with a background of existing methods, then focus on methods to estimate association parameters in matched cases control designs while accounting for within-subject correlation in the data. The methods discussed assume the willingness to break the individual matched case-control bonds within matched sets, thereby accounting for within-subject correlation directly in the estimation procedure. It is illustrated that existing estimation procedures can result in severe bias depending upon the number of repeated events per patient/cluster and the magnitude of covariate effect on the response.Then, methods are discussed where it is no longer acceptable to break the matched case-control bonds. These methods employ substantially different weighting methods to obtain parameter estimates, and the resulting estimand consistently estimated by each procedure is investigated. We focus on the scenario of varying matched set sizes (varying cluster sizes), where effect modification exists across clusters. It is shown that currently implemented frequentist methods for analyzing case-crossover data with unbalanced cluster sizes force one to choose between weighting schemes that estimate marginal or conditionally-weighted covariate effects. In order to directly model and contrast marginal and subject-specific estimates of association in matched case-control studies, a novel method for obtaining estimates is developed. The proposed methodology allows for simultaneous estimation of both marginal and subject-specific covariate effects by implementing a semi-parametric Bayesian hierarchical framework. Throughout, the utility of the resulting methodology is illustrated using data obtained from a case-crossover study of children sampled from Orange County, CA seeking to quantify the effect of air pollution exposure on the risk of asthma-related hospital encounters.
Corotating drift‐bounce resonance of plasmaspheric electron with poloidal ULF waves

The purpose of this paper is to understand how low energy plasmaspheric electrons respond to ULF waves excited by interplanetary shocks impinging on magnetosphere. It is found that both energy and pitch angle dispersed plasmaspheric electrons with energy of a few eV to tens of eV can be generated simultaneously by the interplanetary shock. The subsequent period of successive dispersion signatures is around 40 s and is consistent with the ULF wave period (third harmonic). By tracing back the energy and pitch angle dispersion signatures, the position of the electron injection region is found to be off‐equator at around ‒32° in the southern hemisphere. This can be explained as the result of injected electrons being accelerated by higher harmonic ULF waves (e.g. third harmonic) which carry a larger amplitude electric field off‐equator. The dispersion signatures are due to the flux modulations (or accelerations) of “local” plasmaspheric electrons rather than electrons from the ionosphere. With the observed wave‐borne large electric field excited by the interplanetary shock impact, the kinetic energy can increase to a maximum of 23 percent in one bouncing cycle for plasmaspheric electrons satisfying the drift‐bounce resonance condition by taking account of both the corotating drift and bounce motion of the local plasmaspheric electron.