Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Epididymal Sperm Aspiration on Microsurgical Vasoepididymostomy Outcomes in Patients with Obstructive Azoospermia-Report of 21 Cases Attached

ABSTRACT Background: To explore the impact of epididymal sperm aspiration on microsurgical vasoepididymostomy (MVE) outcomes in patients with obstructive azoospermia (OA). Methods: A retrospective analysis was conducted on 21 patients with OA who underwent epididymal sperm aspiration and received treatment at the department of andrology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from September 2016 to March 2023. Under microscopic scrutiny, the structure of the epididymis and any injuries to its ducts were observed and compared during MVE. Results: Microscopic analysis of 21 patients revealed notable changes in the appearance of the epididymis, showcasing substantial scar contracture and evident adhesion between the epididymal fascia and tunica vaginalis within the sheath, posing challenges in their separation. Among them, 12 patients exhibited fractured, shrunk, fibrotic, and semen-devoid epididymal ducts. Consequently, MVE could not be completed in 15 patients because of these factors, and only six patients underwent MVE. Among the patients who successfully underwent MVE, three patients had sperm in the follow-up examination 3 months after surgery, accounting for 50%. Conclusion: Epididymal sperm aspiration can damage the normal structure of the epididymis and epididymal duct, often leading to surgical termination during operation and a decrease in the long-term patency rate following surgery. Therefore, patients with OA are recommended to undergo MVE as the initial procedure. In case the surgery prove unsuccessful, epididymal or testicular sperm aspiration can be performed for intracytoplasmic sperm injection (ICSI) assisted reproduction. Additionally, patients with OA are advised to avoid diagnostic epididymal sperm aspiration.
WIDER Working Paper 2023/145 Mobile internet and income improvement

: New developments of existing technologies over time have led to emergent patterns of technology adoption and, accordingly, changing impacts on economy and society. Focusing on the arrival of mobile internet in the early 2010s in developing countries, this paper identifies significant positive effects on provinces’ average household income in Viet Nam. The effect sizes are larger for lower-income quintiles and for rural areas, suggesting the more inclusive changing impact of the innovation over the last decade. Preliminary evidence of impact mechanisms via skilled employment rates and (formal) wages is also presented. The evidence from Viet Nam, a lower-middle-income country, can bring further understanding in terms of the extent of development impacts of second-generation mobile for development (M4D 2.0) in particular and information and communication technologies for development (ICT4D) in general.
High-viscosity injector-based pink-beam serial crystallography of microcrystals at a synchrotron radiation source

This article presents the first injector-based serial crystallography experiments carried out at a pink X-ray beam source, the BioCARS beamline at the Advanced Photon Source. Microcrystals of human A2A adenosine receptor and proteinase K were screened and the structures determined to resolutions of 4.2 and 1.8 Å, respectively.
The Impact of Vertical Measurement Depth on the Information Content of Soil Moisture for Latent Heat Flux Estimation

AbstractThis study aims to identify the impact of vertical support on the information content of soil moisture (SM) for latent heat flux estimation. This objective is achieved via calculation of the mutual information (MI) content between multiple soil moisture variables (with different vertical supports) and current/future evaporative fraction (EF) using ground-based soil moisture and latent/sensible heat flux observations acquired from the AmeriFlux network within the contiguous United States. Through the intercomparison of MI results from different SM–EF pairs, the general value (for latent heat flux estimation) of superficial soil moisture observations , vertically integrated soil moisture observations , and vertically extrapolated soil moisture time series [soil wetness index (SWI) from a simple low-pass transformation of ] are examined. Results suggest that, contrary to expectations, 2-day averages of and have comparable mutual information with regards to EF. That is, there is no clear evidence that.
The assessment of contamination level of multidrug resistant bacteria and antibiotic residue in chicken manure

This study aimed to assess the contamination level of chicken litter by antibiotic residues and multidrug resistant (MDR) bacteria. A total of 28 chicken litter samples were aseptically collected in Abidjan poultry farms in December 2021. The bacteria including Salmonella, Escherichia coli and Staphyloccocus aureus were isolated on specific culture media and were identified using biochemical tests. Antibiotics susceptibility test of the isolates was performed by the disk diffusion method. Finally, the antibiotic residues were detected in litter samples by HPLC. Among the analyzed samples, 21 were positive for the three bacteria. Moreover, S. aureus isolates were resistant to tetracycline, clindamycine, trimethoprime, and erythromycine while E. coli and Salmonella strains were resistant to minocycline, nalidixic acid, and tetracycline with resistance rate above 75% for all strains. The MDR including 3 to 6 antibiotic classes were found in 90 and 23.07% of S. aureus and E. coli strains, respectively. Moreover, chicken litter samples were contaminated by antibiotic residues mainly ciprofloxacine, erythromycine, spiramycine and oxytétracycline with amounts between 0.05 ± 0.002 and 8.41 ± 2.03 mg/kg. These results showed the need to treat chicken litter before being used as fertilizer to reduce their negative impact on environment and health.
Staying Tuned for Censored Information Sources? A Media Habit Approach to Immigrants’ Information Practices

Why do immigrants opt for censored information sources even in the presence of various alternatives? Adopting Bourdieu’s concepts of habitus and field, this study bridges literature on media habit, censorship, and acculturation to explain the continued use of censored sources among mainland Chinese students (MCSs) in Hong Kong. Drawing from media diaries and semistructured interviews of 17 MCSs, I demonstrate how MCSs’ information practices and political attitudes are influenced by behavioral and algorithmic cues, online and offline networks, information ecosystems in Hong Kong and mainland China, as well as their own cultural-political identities. I further propose a generalized research approach to immigrants’ media habits that connects intrapersonal deliberation, microlevel contextual cues, mesolevel social networks, and macrolevel structures.
Motivational Components Involved in the Metamotivational Motivational Components Involved in the Metamotivational Monitoring in Medical Students Monitoring in Medical Students

Background: Theoretical implications of self-regulated learning emphasize that self-regulation of motivation (metamotivation) plays an important role in learning, effort, perseverance, and academic success in general. Metamotivation is how people monitor and control their motivational states to achieve their goals. Researchers believe that metamotivation includes two reciprocal processes: metamotivational monitoring, evaluating whether the person has selected the proper level (quantity) and type (quality) of motivation to perform his tasks; and metamotivational control, using the results of the monitoring phase and applying suitable strategies for adapting or changing the motivation. In metamotivational monitoring, students try to identify the declined motivational component in order to regulate its quantity and quality using motivational regulation strategies. In this �eld, two important questions arise: How can identify and measure the motivational components involved in metamotivational monitoring? and: Which motivational component is targeted by the medical students when they use every motivational regulation strategy? Methods: Applying a multi-stage study, motivational components involved in metamotivational monitoring were characterized and a questionnaire developed. Then, using Structural Equation Modeling, predictive relationships between motivational components and motivational regulation strategies were investigated. Results: The Motivational Components Questionnaire (MCQ) showed acceptable evidence of validity and reliability. In the Exploratory Factor Analysis, 6 factors were discovered that explained 74% of the total variance. In examining the predictive relationships, each of the four components of self-ecacy, intrinsic value, self-relevant value and promotion value were speci�cally predicted by two motivational regulation strategies. Conclusions: Evidence of validity and reliability of the MCQ indicates that this questionnaire can be used in medical education contexts. Health Profession Educators can improve the academic motivation of students by identifying one or more declined motivational component and teaching speci�c motivational regulation strategies. It is recommended to hold training courses on motivational regulation strategies for medical school faculty, study-skills advisors, and students.
Neuronal Activity Promotes Oligodendrogenesis and Adaptive Myelination in the Mammalian Brain

involve more extensive electrode-related tissue damage. We placed the optical-neural interface just below the pial surface in cortical layer I of area M2 (premotor area; Fig. 1A) in juvenile (P35) mice and stimulated unilaterally with blue light for 30-s intervals every two minutes over a 30-min period at 20 Hz, a frequency consistent with the 10–40 Hz physiological firing rates of layer V projection neurons in motor cortex ( 19 ). Unilateral stimulation of right-sided M2, a high level cortical region involved in motor planning and the generation of complex and goal-directed motor behavior ( 23 ), caused mice to ambulate consistently in the contralateral (left) direction when the blue light was on (movie S1); this behavioral measure confirms proper placement of the light stimulation fiber and demonstrates the expected behavioral consequences of optogenetic premotor cortex stimulation. The placement of the fiber requires breaching the skull and dura, and
The impact of digital advertising on turnout during the 2020 US presidential election: evidence from a massive campaign-level ﬁeld experiment

We present the results of a massive, $8.9 million campaign-wide ﬁeld experiment, conducted among 2 million moderate and low-information “persuadable” voters in ﬁve battleground states during the 2020 US Presidential election. Treatment group subjects were exposed to an eight-month-long advertising program delivered via social media, designed to persuade people to vote against Donald Trump and for Joe Biden. On average, the program neither increased or decreased turnout. We ﬁnd evidence of differential turnout effects by modeled level of Trump support: the campaign increased voting among Biden leaners by 0.4 percentage points (SE: 0.2pp) and decreased voting among Trump leaners by 0.3 percentage points (SE: 0.3pp), for a difference-in-CATES of 0.7 points ( t
Algorithms for Inverse Reinforcement Learning

Objective—To evaluate the pharmacokinetics of a novel commercial formulation of ivermectin after administration to goats. Animals—6 healthy adult goats. Procedure—Ivermectin (200 μg/kg) was initially administered IV to each goat, and plasma samples were obtained for 36 days. After a washout period of 3 weeks, each goat received a novel commercial formulation of ivermectin (200 μg/kg) by SC injection. Plasma samples were then obtained for 42 days. Drug concentrations were quantified by use of high-performance liquid chromatography with fluorescence detection. Results—Pharmacokinetics of ivermectin after IV administration were best described by a 2-compartment open model; values for main compartmental variables included volume of distribution at a steady state (9.94 L/kg), clearance (1.54 L/kg/d), and area under the plasma concentration-time curve (AUC; 143 [ng•d]/mL). Values for the noncompartmental variables included mean residence time (7.37 days), AUC (153 [ng•d]/mL), and clearance (1.43 L/kg/d). After .
Indonesian Journal of Islamic Economics Research

This study aims to determine the effect of CAR and NPF on Murabahah Financing with ROA as an Intervening variable at Indonesian Islamic Banks. This study uses quantitative methods with secondary data. The sample used as the object of research is 12 Islamic Commercial Banks. The sampling technique in this research is purposive sampling. The analytical tool used is eviews9. The test results regarding CAR have a negative and insignificant effect on MSME financing. NPF has a positive and significant effect on MSME financing. CAR) has a positive and insignificant effect on ROA. NPF has a negative and significant effect on ROA. ROA has a positive and significant effect on ROA. The ROA variable can mediate the CAR on Murabahah Financing not significantly. ROA cannot mediate the NPF on Murabahah Financing significantly.
The Influence of Personality and Entrepreneurship Education on Entrepreneurship Readiness Through Perceived Behavior Control in Students of Universitas Negeri Malang, Faculty of Economics and Business

Unemployment is a significant problem that has a serious impact on developing countries, one of which is Indonesia. The solution that can be used to reduce the unemployment rate and increase people's welfare is to increase the number of jobs by opening entrepreneurship. The target of the research can be said to find out how the influence of personality and entrepreneurship education in fostering entrepreneurship readiness in students through perceived behavior control. The population used was students of Universitas Negeri Malang, Faculty of Economics and Business, with a sample of 153 students. The research design is a quantitative method, with testing using SmartPLS 3.0. The output of this study shows that personality and entrepreneurship education can directly affect entrepreneurship readiness, while perceived behavior control can increase the effect of entrepreneurship education on entrepreneurship readiness compared to without going through mediation. Perceived behavior control does not have a mediating effect on personality on entrepreneurship readiness.
Community dynamics of arbuscular mycorrhizal fungi in a temperate tree-based intercropping system

COMMUNITY DYNAMICS OF ARBUSCULAR MYCORRHIZAL FUNGI IN A TEMPERATE TREE-BASED INTERCROPPING SYSTEM Luke D. Bainard Advisors: University of Guelph, 2011 John N. Klironomos Andrew M. Gordon Arbuscular mycorrhizal (AM) fungi are an important component of agricultural ecosystems, and can directly influence the productivity of these systems. Unfortunately, conventional agricultural practices have been shown to adversely affect AM fungi. The use of more ecologically sustainable agricultural practices such as tree-based intercropping (TBI) may have the potential to reduce the negative impact of agricultural practices on AM fungi. The objectives of this thesis were to determine (1) if trees influence the structuring of AM fungal communities, (2) if TBI systems support a more diverse AM fungal community compared to conventional monocropping (CM) systems, and (3) if differences in AM fungal richness and composition between the two cropping systems have a functional effect on the growth of crops. Molecular analysis of the AM fungal community in the TBI system revealed 17 phylotypes that all belonged to the family Glomeraceae. Differences in richness and composition among the treatments indicated that trees had an effect on the structuring of AM fungal communities. Intercropping alleys adjacent to white ash and poplar tree rows had a significantly (P < 0.05) richer and different AM fungal community compared to intercropping alleys adjacent to Norway spruce tree rows. When comparing TBI and CM systems, AM fungal abundance was not significantly (P > 0.05) different between the two cropping systems. However, differences in both richness and community composition of AM fungi were observed between the two cropping systems. The TBI system had a significantly higher AM fungal richness and contained several taxa not found in the CM system. Controlled greenhouse experiments revealed that differences in AM fungal richness and community composition between the TBI and CM systems had no functional effect on the growth of three crops (i.e. barley, canola, and soybean). The similar growth response of crops to AM fungi from the two cropping systems may be due to the lack of functional complementarity among the AM fungi. Overall, the TBI system had a more diverse AM fungal community compared to the CM system and trees appear to be a significant factor in the structuring of these communities.
Learning Mathematics from Examples and by Doing: Enhancing Learning Engagement and Self-efficacy

Purpose: Numerous empirical studies have confirmed that learning from examples and by doing (LFED) can improve learning efficiency; however, its impact on learning motivation is still unclear. Therefore, this study investigated the effects of LFED on students' mathematics learning performance, academic engagement and academic self-efficacy to explore its effect on Learning motivation. Methods: In a cluster randomized controlled trial, 119 seventh-grade students were randomly assigned to either a four-month LFED group (n=59) or a conventional group (n=60). The interventional group was taught by the LFED method, and the other received a traditional teaching method. Both groups were assessed before and after the intervention to measure academic performance in mathematics, learning engagement, and academic self-efficacy. Results: Repeated-measures ANOVA showed a significant group-by-time effect for academic self-efficacy and learning behavior dimension scores; there were no significant group-by-time effects for math academic performance, learning engagement scores, and related dimension scores. Paired-sample t-tests showed no significant change in self-efficacy scores in the LFED group but a significant decrease in self-efficacy and all related dimensions scores in the conventional group. There was no change in cognitive engagement dimension scores in the LFED group but a substantial decrease in the conventional group. Conclusion: As an adaptive learning method originating from artificial intelligence, LFED had an equal impact on math academic performance as traditional teaching methods. However, LFED was feasible and effective in enhancing students’ academic self-efficacy and cognitive learning engagement.
A Resource-Efficient Multi-Function Embedded Eye Tracker System Implemented on FPGA

In this paper, a multi-function embedded eye tracker system (ETS) has been presented and FPGA implementation of that has been described. The image processing algorithm is based on morphological operations to detect centers of pupil (PC) and corneal glint (GC) so that gaze of the user can be estimated by establishing a mapping between obtained PC-GC vector and screen. Moreover, the proposed ETS is capable to detect pupil size which is vitally important in understanding consciousness of the user since it varies in response to light condition. Taking advantage of optimum system design and parallel signal processing on high-speed digital units of the FPGA, the processing time of 1.8 ms was achieved that allows operation of the system up to 500 fps. The results of test with $176\times120$ images demonstrate maximum vertical or horizontal error of ±1 pixel. Experimental results imply versatility of the proposed low-power and high-accuracy ETS for real-time and accurate applications such as medical diagnosis and human-computer interface.
Shortened Duration of Dual Antiplatelet Therapy Following Percutaneous Coronary Intervention: A Contemporary Clinical Review

Percutaneous coronary intervention with stent implantation is an integral aspect of minimally interventional cardiac procedures. The technology and techniques behind stent design and implantation have evolved rapidly over several decades. However, continued discourse remains around optimal peri- and post-interventional management with dual antiplatelet therapy to minimise both major cardiovascular or cerebrovascular events and iatrogenic bleeding risk. Standard guidelines around dual antiplatelet therapy historically recommended long-term dual antiplatelet therapy for 12 months (with consideration for >12 months in certain patients); however, emerging data and generational improvements in the safety of drug-eluting stents have ushered in a new era of short-term therapy to reduce the incidence of major bleeding events. This case review will provide an overview of the current state of guidelines around duration of dual antiplatelet therapy and examine recent updates and continued gaps in existing research.
Blood glucose forecasting from temporal and static information in children with T1D

Background The overarching goal of blood glucose forecasting is to assist individuals with type 1 diabetes (T1D) in avoiding hyper- or hypoglycemic conditions. While deep learning approaches have shown promising results for blood glucose forecasting in adults with T1D, it is not known if these results generalize to children. Possible reasons are physical activity (PA), which is often unplanned in children, as well as age and development of a child, which both have an effect on the blood glucose level. Materials and Methods In this study, we collected time series measurements of glucose levels, carbohydrate intake, insulin-dosing and physical activity from children with T1D for one week in an ethics approved prospective observational study, which included daily physical activities. We investigate the performance of state-of-the-art deep learning methods for adult data—(dilated) recurrent neural networks and a transformer—on our dataset for short-term (30 min) and long-term (2 h) prediction. We propose to integrate static patient characteristics, such as age, gender, BMI, and percentage of basal insulin, to account for the heterogeneity of our study group. Results Integrating static patient characteristics (SPC) proves beneficial, especially for short-term prediction. LSTMs and GRUs with SPC perform best for a prediction horizon of 30 min (RMSE of 1.66 mmol/l), a vanilla RNN with SPC performs best across different prediction horizons, while the performance significantly decays for long-term prediction. For prediction during the night, the best method improves to an RMSE of 1.50 mmol/l. Overall, the results for our baselines and RNN models indicate that blood glucose forecasting for children conducting regular physical activity is more challenging than for previously studied adult data. Conclusion We find that integrating static data improves the performance of deep-learning architectures for blood glucose forecasting of children with T1D and achieves promising results for short-term prediction. Despite these improvements, additional clinical studies are warranted to extend forecasting to longer-term prediction horizons.