Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Intrauterine Infusion of Peripheral Blood Mononuclear Cells Culture on Subendometrial Blood Flow in Patients Undergoing ICSI Cycles

In recent years increasing evidence proposed that local immune cells at implantation site have largely contributed to embryo implantation. The intrauterine infusion of activated peripheral blood mononuclear cells culture 2 days before embryo transfer can enhance the implantation. One of the methods used to evaluate the endometrial receptivity is by assessing the sub endometrial blood flow. A total of 67 infertile women (30) women receives intrauterine non-invasive insemination of peripheral blood mononuclear cells (PBMC) culture 2 days before embryo transfer representing the PBMC test group, and (37) women without receiving any cell as Non-PBMC group. The cultured PBMC are administered into the uterine cavity of the patients. 2 days later, embryos are transferred into the uterine cavity. Endometrial thickness and sub-endometrial blood flow measurements are taken for all cases on trigger and embryo transfer days. On embryo transfer day there was no significant difference (p = 0.770) in mean endometrial thickness between the PBMC group and Non-PBMC group. There was a significant difference (p< 0.001) in the mean resistive index; the level being lower in the PBMC group. Moreover, there was a significant difference (p< 0.001) in the mean pulsatility index. Regarding all enrolled women, the pregnancy rate of 25.4 %, the rate was higher in the PBMC group in comparison with the Non-PBMC group, 43.3 % versus 10.8 %, respectively and the difference was significant (p = 0.002). The use of PBMC culture can improve sub-endometrial.
A 110 Year Sediment Record of Polycyclic Aromatic Hydrocarbons Related to Economic Development and Energy Consumption in Dongping Lake, North China

A sedimentary record of the 16 polycyclic aromatic hydrocarbon (PAH) pollutants from Dongping Lake, north China, is presented in this study. The influence of regional energy structure changes for 2–6-ring PAHs was investigated, in order to assess their sources and the impact of socioeconomic developments on the observed changes in concentration over time. The concentration of the ΣPAH16 ranged from 77.6 to 628.0 ng/g. Prior to the 1970s, the relatively low concentration of ΣPAH16 and the average presence of 44.4% 2,3-ring PAHs indicated that pyrogenic combustion from grass, wood, and coal was the main source of PAHs. The rapid increase in the concentration of 2,3-ring PAHs between the 1970s and 2006 was attributed to the growth of the urban population and the coal consumption, following the implementation of the Reform and Open Policy in 1978. The source apportionment, which was assessed using a positive matrix factorization model, revealed that coal combustion was the most important regional source of PAHs pollution (>51.0%). The PAHs were mainly transported to the site from the surrounding regions by atmospheric deposition rather than direct discharge.
Perceived attachment to God relates to body appreciation: mediating roles of self-compassion, sanctification of the body, and contingencies of self-worth

ABSTRACT Various studies demonstrate links between attachment to God and body image, though few consider secure attachment to God or positive body image specifically. Further, little is known about explanatory mechanisms, and many studies have relied on samples of White college women. In the current study, we proposed several potential mediators to better understand the relationship between perceived attachment to God and body image. Emerging adults (N = 288) in the U.S. responded to multiple measures assessing body image and religion/spirituality through the Amazon Mechanical Turk Prime platform. Findings revealed that a more secure perceived attachment to God was associated with more body appreciation. Self-compassion, sanctification of the body, and certain contingencies of self-worth mediated these relationships, with patterns differing somewhat based on gender identity. These findings expand the literature pertaining to r/s and body image and can hopefully be utilized to help emerging adults cultivate positive images of their bodies.
Biomechanics of Additively Manufactured Metallic Scaffolds—A Review

This review paper is related to the biomechanics of additively manufactured (AM) metallic scaffolds, in particular titanium alloy Ti6Al4V scaffolds. This is because Ti6Al4V has been identified as an ideal candidate for AM metallic scaffolds. The factors that affect the scaffold technology are the design, the material used to build the scaffold, and the fabrication process. This review paper includes thus a discussion on the design of Ti6A4V scaffolds in relation to how their behavior is affected by their cell shapes and porosities. This is followed by a discussion on the post treatment and mechanical characterization including in-vitro and in-vivo biomechanical studies. A review and discussion are also presented on the ongoing efforts to develop predictive tools to derive the relationships between structure, processing, properties and performance of powder-bed additive manufacturing of metals. This is a challenge when developing process computational models because the problem involves multi-physics and is of multi-scale in nature. Advantages, limitations, and future trends in AM scaffolds are finally discussed. AM is considered at the forefront of Industry 4.0, the fourth industrial revolution. The market of scaffold technology will continue to boom because of the high demand for human tissue repair.
Increasing Customer Satisfaction through Omnichannel Retailing

Vol. Abstract Customer satisfaction is one of the success factors for many retailers. With the widespread use of smartphones worldwide, retailers have adopted many new innovative and disruptive retail business models. Digitalization brings retail business into a new era and has profoundly and positively affected the business' strategy. Retailers strive to provide customers with an easy, smooth, happy, joyful, and relaxed shopping experience. One of the disruptive digital innovations in retailing is Omnichannel Retailing. The ideas are to rejuvenate, revitalize, and increase customer satisfaction during their shopping journey either at the store (offline) or through online shopping platforms. The customer shopping experience is enhanced by providing channels and touchpoints that are emerged during their shopping journey. The objective of this study is to review the customer relationship literature within the context of the omnichannel retailing perspective. This study proposes a conceptual model to understand the factors that increase customer satisfaction through omnichannel retailing.
Multi-GHz Frequency Synthesis & Division: Frequency Synthesizer Design for 5 GHz Wireless LAN Systems

There has been an increasing demand for Wireless Local Area Network (WLAN) systems in the past few years. New frequency bands are allocated and new standards are being developed to accommodate higher data rates. The fast trend of CMOS scaling has provided an opportunity for the development of low cost integrated WLAN systems. Frequency synthesizers are one of the main building blocks of wireless transceivers. The high frequency digital frequency dividers in a phase-locked loop (PLL) based frequency synthesizer are among the most challenging blocks to design and usually account for a large percentage of the synthesizer total power dissipation. The successful design and integration of a high frequency PLL demands a comprehensive understanding of wireless systems, RF circuits, and loop stability issues. Multi-GHz Frequency Synthesis & Division starts with an overview of WLAN systems and reviews the WLAN market and standards. It then studies PLLs as an essential building block of WLAN receivers, and provides guidelines and engineering recipes for the design of loop filters in high frequency PLLs. Additionally, the book investigates different analog and digital frequency division techniques and introduces injection-locked frequency dividers (ILFDs) as an alternative for conventional frequency dividers. Finally, the book demonstrates a successful design of a fully integrated CMOS frequency synthesizer for a 5 GHz WLAN receiver. Multi-GHz Frequency Synthesis & Division will be of interest to RF and high-speed analog circuit designers and students as well as wireless engineers.
A Discussion on natural strain and geological structure - The kinetics of rock deformation by pressure solution

A simple model for rock deformation by pressure solution, assuming grain boundary diffusive mass transfer to be deformation rate controlling, is presented. The model leads to a constitutive flow law which is of the same form as that for Coble creep. It is argued that the presence of a fluid film in stressed grain boundaries leads to enhanced diffusivity of solute particles in the grain boundary. Some simple experiments are described, which demonstrate rapid diffusion in solutions in pores, much slower diffusion in stressed interfaces and deformation by pressure solution. By using the theoretical model, and by assuming that the pressure of the interfacial solution is equal to the applied normal stress, so that available experimental data on the effect of pressure on mineral solubility could be used, rates of deformation by pressure solution have been calculated. These are compared with rates of deformation by crystal plastic and high temperature diffusive flow processes, by using deformation mechanism maps. Predicted transition conditions between various deformation mechanisms are found to be consistent with those inferred from the study of textures of naturally deformed rocks.
Research on data classification and feature fusion method of cancer nuclei image based on deep learning

There are many different types of nuclei in a tumor tissue. We can identify the specific nuclei and their distribution in the tissue to reflect the current cancer state of histopathological images. However, due to the existence of cellular heterogeneity, the recognition of nuclei in histopathological images has always been a problem of computer vision. In the paper, we use the transfer learning of Deep Convolutional Neural Network to classify nuclei, and found that adjusting the size of the nuclear image to a certain size can improve the accuracy of the nuclei classification model, while not significantly reducing the nuclei classification efficiency. Through further research, it was confirmed that the environment around the nuclei can bring great help to the model classification. Based on the principle, we design a feature fusion model. We extract features from nuclei image different sizes by CNN, fuse the features, and then use fully connected layer to classify the features. Experiments have proved that the feature fusion model has a considerable improvement in accuracy compared to the normal classification model.
Towards Using Unsupervised Learning for Comparing Traditional and Synchronous Online Learning in Assessing Students’ Academic Performance

Understanding students’ learning processes and education-related phenomena by extracting knowledge from educational data sets represents a continuous interest in the educational data mining domain. Due to an accelerated expansion of online learning and digitalisation in education, there is a growing interest in understanding the impact of online learning on the academic performance of students. In this study, we comparatively investigate traditional and synchronous online learning methods to assess students’ performance through the use of deep autoencoders. Experiments performed on real data sets collected in both online and traditional learning environments showed that autoencoders are able to detect hidden patterns in academic data sets unsupervised; these patterns are valuable for the prediction of students’ performance. The obtained results emphasized that, for the considered case studies, traditional evaluations are a little more accurate than online evaluations. Still, after applying a one-tailed paired Wilcoxon signed-rank test, no statistically significant difference between the traditional and online evaluations was observed.
Human skin-equivalent phantom for on-body antenna measurements in 60 GHz band

The accurate characterisation of the on-body performance of wearable antennas upcoming for future high-data-rate 60 GHz body area networks requires the development of experimental phantoms reproducing the dielectric properties of human skin. In this reported work, a low-cost and easy-to-fabricate semi-solid human skin phantom for body-centric antenna measurements has been manufactured and validated by measurements. It is demonstrated that the complex permittivity of the phantom equals that of human skin within the maximum error of 10 in the 57 64 GHz range. It is believed that this is the first skin-equivalent experimental model developed for on-body antenna characterisation at millimetre waves.
Application of Modern Development Tools in Increasing the Competence of the Staff

The article substantiates the main components of improving staff competencies in the face of change. It is determined that taking into account and combining "hard skills" and "soft skills" skills allow you to use the acquired knowledge to perform specific tasks in the workplace in a particular professional activity. Modern and traditional models, techniques and tools of personnel management are presented, according to which it is possible to clearly assess the difference in approaches to managing the competence of employees in the conditions of change. Based on the analysis of world practice, a list of methods is presented: discussions, brainstorming, Oxford debates, Case - Study, business and role - playing games, workshops, communication and management training, which are used to develop skills and abilities of employees. These methods allow expanding the educational opportunities of established forms of classes (lectures, seminars). The relationship between the acquisition of new and improvement of existing staff development competencies on the basis of training and coaching is shown. The proposed methods of acquiring competencies allow you to choose those competencies and methods of acquiring them that correspond to the individual characteristics of organizations. It is proved that the acquisition of competencies by staff allows identifying new competencies in employees, to form the need to use modern analytical and behavioral skills, providing greater opportunities for management skills and flexibility, dialectical thinking, ability to make creative decisions in unusual situations. It is substantiated that the combination of the SMART method in the acquisition of competencies significantly expands the possibilities of short-term learning, through the application of the concept of "lifelong learning". Different definitions of the essence of "competence" are analyzed, which allows emphasizing that when choosing different forms of education, in particular, trainings, different types of training it is necessary to use / apply modern methods and techniques. It has been proven that incompetent non-use by a staff of their knowledge, skills, experience and skills often leads to reduced profits and inefficient use of their potential.
Masking and Transformer-based Models for Hyperpartisanship Detection in News

Hyperpartisan news show an extreme manipulation of reality based on an underlying and extreme ideological orientation. Because of its harmful effects at reinforcing one’s bias and the posterior behavior of people, hyperpartisan news detection has become an important task for computational linguists. In this paper, we evaluate two different approaches to detect hyperpartisan news. First, a text masking technique that allows us to compare style vs. topic-related features in a different perspective from previous work. Second, the transformer-based models BERT, XLM-RoBERTa, and M-BERT, known for their ability to capture semantic and syntactic patterns in the same representation. Our results corroborate previous research on this task in that topic-related features yield better results than style-based ones, although they also highlight the relevance of using higher-length n-grams. Furthermore, they show that transformer-based models are more effective than traditional methods, but this at the cost of greater computational complexity and lack of transparency. Based on our experiments, we conclude that the beginning of the news show relevant information for the transformers at distinguishing effectively between left-wing, mainstream, and right-wing orientations.
New Model Dc –Dc Converter With Soft Switching in Terms of Zero Voltage and Reducing Current Switching

In this paper one new model bidirectional, non-isolated dc-dc converter is introduced. This new model introduced can operate in terms of zero voltage (ZVS) and fixed switching frequency without consideration of direction of flow. To provide condition of ZVS for switches in this model, we use a simple auxiliary circuit included one inductor coil coupled to the main coil and auxiliary coil. Because of the operation of ZVS switches, the diode reverse recovery problem does not occur. In addition, to provide a soft switching in this circuit, any additional switches are not used. Therefore, circuit becomes easier to implement and control. In order to confirm the theory analysis of bidirectional dc-dc converter offered, the experimental and simulation result are presented. Keywords—non-isolated, zero voltage switching (ZVS), bidirectional dc-dc converter, pulse width modulation (PWM), Buck-Boost converter.
Sex Differences in the Effect of Diabetes on Cerebral Glucose Metabolism

The neuroimaging literature indicates that brain structure and function both deteriorate with diabetes, but information on sexual dimorphism in diabetes-related brain alterations is limited. This study aimed to ascertain whether brain metabolism is influenced by sex in an animal model of diabetes. Eleven rats (male, n = 5; female, n = 6) received a single intraperitoneal injection of 70 mg/kg streptozotocin (STZ) to develop diabetes. Another 11 rats (male, n = 5; female, n = 6) received the same amount of solvent through a single intraperitoneal injection. Longitudinal positron emission tomography scans were used to assess cerebral glucose metabolism before and 4 weeks after STZ or solvent administration. Before STZ or solvent injections, there was no evidence of sexual dimorphism in cerebral metabolism (p > 0.05). Compared with healthy control animals, rats with diabetes had significantly decreased brain metabolism in all brain regions (all p < 0.05). In addition, female diabetic rats exhibited further reduction in cerebral metabolism, relative to male diabetic rats (p < 0.05). The results of this study may provide some biological evidence, supporting the existence of a sexual dimorphism in diabetes-related complications.
Smartphone and Digital Home Assistant Use Among Older Adults: Understanding Adoption and Learning Preferences

Smart technologies have increased dramatically within the last decade. Their availability has improved opportunities for productivity, health, and entertainment, and this is especially true for technologies that act as central hubs to link other devices and applications that expand their capabilities (e.g., smartphones and digital home assistants). Older adults may significantly benefit from integrating these devices into their lives to mitigate the various challenges they face with increasing age (e.g., cognitive, mobility changes). To understand the potential of these technologies for this population, we investigated use patterns, learning preferences, and other perceptions related to the adoption of these devices. Seventy older adult participants responded to an online survey regarding their use and preferences with smartphones and digital home assistants. The results informed our understanding of current adoption rates as well as provided key perspectives to inform their design for older adults.
Wind Features Extracted from Weather Simulations for Wind-Wave Prediction Using High-Resolution Neural Networks

Nearshore wave forecasting is susceptible to changes in regional wind fields and environments. However, surface wind field changes are difficult to determine due to the lack of in situ observational data. Therefore, accurate wind and coastal wave forecasts during typhoon periods are necessary. The purpose of this study is to develop artificial intelligence (AI)-based techniques for forecasting wind–wave processes near coastal areas during typhoons. The proposed integrated models employ combined a numerical weather prediction (NWP) model and AI techniques, namely numerical (NUM)-AI-based wind–wave prediction models. This hybrid model comprising VGGNNet and High-Resolution Network (HRNet) was integrated with recurrent-based gated recurrent unit (GRU). Termed mVHR_GRU, this model was constructed using a convolutional layer for extracting features from spatial images with high-to-low resolution and a recurrent GRU model for time series prediction. To investigate the potential of mVHR_GRU for wind–wave prediction, VGGNet, HRNet, and Two-Step Wind-Wave Prediction (TSWP) were selected as benchmark models. The coastal waters in northeast Taiwan were the study area. The length of the forecast horizon was from 1 to 6 h. The mVHR_GRU model outperformed the HR_GRU, VGGNet, and TSWP models according to the error indicators. The coefficient of mVHR_GRU efficiency improved by 13% to 18% and by 13% to 15% at the Longdong and Guishandao buoys, respectively. In addition, in a comparison of the NUM–AI-based model and a numerical model simulating waves nearshore (SWAN), the SWAN model generated greater errors than the NUM–AI-based model. The results of the NUM–AI-based wind–wave prediction model were in favorable accordance with the observed results, indicating the feasibility of the established model in processing spatial data.
Effect of Automechanic Works on Lead and Iron Content in Two Mechanic Villages in Port Harcourt, Rivers State Nigeria

Forty soil samples were collected from two mechanic workshops (villages), Mile 2, Anyama and Mile 3, zone C and a control, UST to examine the pH, conductivity and the concentrations of lead (Pb) and iron (Fe). The pH at the top soil samples (0-15cm) were formed to be higher than those of the lower soil samples (15-30cm). pH values ranged from 7.3- 8.4. The values observed for conductivity also followed the same pattern as the pH with the top soil samples(0-15cm) having higher conductivity values than those of the lower soil samples (15-30cm) and were within the range of 7.70 × 10 - 6.60 × 10 2 µS/cm. The values of the pH and conductivity were higher in the mechanic workshops than the control. The concentration of Pb were very low at UST(control), which were 4.09mg/kg for the top soil and 3.44mg/kg when compared to those observed at the mechanic workshops which were within the range of 205.50mg/kg 1551.25mg/kg. The value of Pb was highest at Mile 3 zone C 1 (155.25mg/kg) and lowest at Mile 3 zone C 2 (205.50mg/kg). Iron (Fe) concentration was lowest at UST (control), being 1412.50mg/kg (top soil) and 2325.00mg/kg (lower soil) and was highest at the Mile 2, Anyama 1 workshop which was 13162.50mg/kg (top soil) and 13050.10mg/kg (lower soil). The work showed that the contribution of heavy metals into the soil through anthropogenic activities at the workshops is alarming. © JASEM