Miracle-dz/UniFAR-FTUs huggingface dataset:
Aberrant DNA Methylation of IGF2-H19 Locus in Human Fetus and in Spermatozoa From Assisted Reproductive Technologies

Given the higher risk of developing imprinting disorders in assisted reproductive technology (ART)-conceived children, we hypothesized that ART may affect DNA methylation of the insulin-like growth factor 2 (IGF2), H19, small nuclear ribonucleoprotein polypeptide N (SNRPN) differentially methylated regions (DMRs) at the fetal stage, which in turn may be associated with sperm abnormalities. A total of 4 patient groups were recruited, namely, multifetal reduction following in vitro fertilization (IVF)/ intracytoplasmic sperm injection (ICSI; n = 56), multifetal reduction following controlled ovarian hyperstimulation (COH; n = 42), male patients with normal semen parameters denoted as normozoospermia group (NZ) for IVF (n = 36), and male patients presenting with asthenozoospermia (OAZ) for ICSI (n = 38). The expression levels and the DNA methylation status of IGF2-H19 and SNRPN DMRs in the fetuses and the semen samples were evaluated by real-time quantitative polymerase chain reaction and pyrosequencing. In our results, the expression levels of H19 were significantly higher, whereas the methylation rates were lower in IVF-conceived fetuses compared to the control group (P < .05). Furthermore, higher methylation rates of IGF2 DMR2 and SNRPN DMR were detected both in IVF- and ICSI-conceived fetuses (P < .05). The data further indicated that the patients who presented with the majority of the CpG sites in the H19 DMR region that were lower methylated were those in the OAZ group. The results demonstrated that the epigenetic dysregulations of IGF2-H19 and SNRPN DMRs that were caused by ART were noted in the fetuses. Moreover, the present study suggested that epigenetic perturbations of the H19 DMR might be a key biomarker for spermatogenesis defects in humans.
Analysis of the cattle movement network and its association with the risk of bovine tuberculosis at the farm level in Castilla y Leon, Spain

Between-farm transmission of bovine tuberculosis (bTB) occurs mostly through fence-to-fence contact between neighbouring farms, endemic infected wildlife or movement of infected animals. Unfortunately, bTB detection is frequently delayed and identification of the source of introduction is often difficult, particularly in endemic regions. Here, we characterized the cattle movement network of Castilla y Leon, a high bTB-prevalence (1.9% at the farm level in 2015) region in Spain, over six years and analysed the distribution of bTB to ultimately assess the likelihood of spatial and movement-mediated transmission. We analysed movement and bTB data from 27,633 units located in the region, of which 87% were involved in ~1.4 million movements of ~8.8 million animals. Network-level connectivity was low, although a few highly connected units were identified. Up to 15% of the herds became bTB-positive at some point during the study, with the highest percentage found in bullfighting and beef herds. Although bTB-positive herds had a significantly higher degree and moved more cattle than negative herds. Results of the k-test, a permutation-based procedure, suggested that positive farms were not significantly clustered in the movement network. Location was a likely risk factor as bTB-positive farms tended to be located within 5 km from each other. Results suggested that movements may be a source of bTB in cattle in Castilla y Leon, although local factors may be more influential in determining risk of disease at the farm level. The description of the movement network in Castilla y Leon may be valuable for bTB surveillance in Spain. Moreover, results are useful to assess the movement-associated risk for multiple diseases.
An Introduction to Probabilistic Programming

This document is designed to be a first-year graduate-level introduction to probabilistic programming. It not only provides a thorough background for anyone wishing to use a probabilistic programming system, but also introduces the techniques needed to design and build these systems. It is aimed at people who have an undergraduate-level understanding of either or, ideally, both probabilistic machine learning and programming languages. We start with a discussion of model-based reasoning and explain why conditioning as a foundational computation is central to the fields of probabilistic machine learning and artificial intelligence. We then introduce a simple first-order probabilistic programming language (PPL) whose programs define static-computation-graph, finite-variable-cardinality models. In the context of this restricted PPL we introduce fundamental inference algorithms and describe how they can be implemented in the context of models denoted by probabilistic programs. In the second part of this document, we introduce a higher-order probabilistic programming language, with a functionality analogous to that of established programming languages. This affords the opportunity to define models with dynamic computation graphs, at the cost of requiring inference methods that generate samples by repeatedly executing the program. Foundational inference algorithms for this kind of probabilistic programming language are explained in the context of an interface between program executions and an inference controller. This document closes with a chapter on advanced topics which we believe to be, at the time of writing, interesting directions for probabilistic programming research; directions that point towards a tight integration with deep neural network research and the development of systems for next-generation artificial intelligence applications.
Pregnancy and Neonatal Outcomes in Azoospermic Men After Intracytoplasmic Sperm Injection Using Testicular Sperm and Donor Sperm

Background The safety of intracytoplasmic sperm injection (ICSI) with testicular sperm in azoospermic men has been a concern. We evaluated ICSI outcomes, including neonatal outcomes, in children born using testicular sperm or donor sperm. Material/Methods Ninety-nine males with nonobstructive azoospermia (NOA) who underwent microdissection testicular sperm extraction (micro-TESE) and 126 males with obstructive azoospermia (OA) were included in this study. Sixty-one patients with NOA used donor sperm for ICSI on the day of oocyte retrieval when no spermatozoa were identified by micro-TESE on the day before oocyte retrieval. ICSI outcomes were compared among OA, donor, and NOA groups. Results There was no statistical difference in terms of female partner characteristics among OA, donor, and NOA groups. The normal fertilization rate (P=0.005), high quality embryo rate (P=0.014), implantation rate (P<0.001), clinical pregnancy rate (P=0.015), live birth rate (P=0.043) were significant lower in the NOA group, compared with the donor sperm group. The normal fertilization rate was significant lower in the NOA group than the OA group (P<0.001), but the live birth rate was not significantly lower (P=0.058). The high-quality embryo rate (P=0.014) and implantation rate (P=0.009) were lower in the OA group than the donor group. No differences between groups were observed in our study regarding neonatal parameters of the infants born. Conclusions The fertilization and pregnancy outcomes were negatively affected by using testicular sperm from males with NOA. Once a live birth was achieved, there was no difference in neonatal outcomes.
Deep Learning Based Robot for Automatically Picking Up Garbage on the Grass

This paper presents a novel garbage pickup robot which operates on the grass. The robot is able to detect the garbage accurately and autonomously by using a deep neural network for garbage recognition. In addition, with the ground segmentation using a deep neural network, a novel navigation strategy is proposed to guide the robot to move around. With the garbage recognition and automatic navigation functions, the robot can clean garbage on the ground in places like parks or schools efficiently and autonomously. Experimental results show that the garbage recognition accuracy can reach as high as 95%, and even without path planning, the navigation strategy can reach almost the same cleaning efficiency with traditional methods. Thus, the proposed robot can serve as a good assistance to relieve dustman’s physical labor on garbage cleaning tasks.
Simvastatin-Induced Insulin Resistance May Be Linked to Decreased Lipid Uptake and Lipid Synthesis in Human Skeletal Muscle: the LIFESTAT Study

Background A prevalent side-effect of simvastatin is attenuated glucose homeostasis. The underlying mechanism is unknown, but impaired lipid metabolism may provide the link. The aim of this study was to investigate whether simvastatin-treated patients had a lower capacity to oxidize lipids and reduced expression of the major proteins regulating lipid uptake, synthesis, lipolysis, and storage in skeletal muscle than matched controls. Materials and Methods Ten men were treated with simvastatin (HbA1c: 5.7 ± 0.1%), and 10 healthy men (HbA1c: 5.2 ± 0.1%) underwent an oral glucose tolerance test and a muscle biopsy was obtained. Fat oxidation rates were measured at rest and during exercise. Western blotting was used to assess protein content. Results Patients treated with simvastatin had impaired glucose tolerance compared with control subjects, but fat oxidation at rest and during exercise was compatible. Skeletal muscle protein content of CD36, lipoprotein lipase (LPL), and diacylglycerol acyltransferase (DGAT) 1 were lower, and DGAT 2 tended to be lower in patients treated with simvastatin. Conclusions Patients treated with simvastatin had a reduced capacity to synthesize FA and diacylglycerol (DAG) into triacylglycerol in skeletal muscle compared to matched controls. Decreased lipid synthesis capacity may lead to accumulation of lipotoxic intermediates (FA and DAG) and hence impair glucose tolerance.
Gene copy number variations involved in balsam poplar (Populus balsamifera L.) adaptive variations

Gene copy number variations (CNVs) involved in phenotypic variations have already been shown in plants, but genomewide testing of CNVs for adaptive variation was not doable until recent technological developments. Thus, reports of the genomic architecture of adaptation involving CNVs remain scarce to date. Here, we investigated F1 progenies of an intraprovenance cross (north–north cross, 58th parallel) and an interprovenances cross (north–south cross, 58th/49th parallels) for CNVs using comparative genomic hybridization on arrays of probes targeting gene sequences in balsam poplar (Populus balsamifera L.), a widespread North American forest tree. A total of 1,721 genes were found in varying copy numbers over the set of 19,823 tested genes. These gene CNVs presented an estimated average size of 8.3 kb and were distributed over poplar's 19 chromosomes including 22 hotspot regions. Gene CNVs number was higher for the interprovenance progeny in accordance with an expected higher genetic diversity related to the composite origin of this family. Regression analyses between gene CNVs and seven adaptive trait variations resulted in 23 significant links; among these adaptive gene CNVs, 30% were located in hotspots. One‐to‐five gene CNVs were found related to each of the measured adaptive traits and annotated for both biotic and abiotic stress responses. These annotations can be related to the occurrence of a higher pathogenic pressure in the southern parts of balsam poplar's distribution, and higher photosynthetic assimilation rates and water‐use efficiency at high latitudes. Overall, our findings suggest that gene CNVs typically having higher mutation rates than SNPs may in fact represent efficient adaptive variations against fast‐evolving pathogens.
The Negative and Positive Aspects of Employees’ Innovative Behavior: Role of Goals of Employees and Supervisors

We aim to examine the negative (relationship conflict) and positive (in-role job performance) outcomes of employees’ innovative behavior and explore the moderation effect of employees’ goal content and supervisors’ achievement goal orientation in these relationships. Data from 218 employees and their immediate supervisors were collected in companies in China and results show that employees’ innovative behaviors are positively related to their relationship conflict and in-role job performance, and employees’ extrinsic goals and supervisors’ performance goal moderate these relationships. Specifically, employees’ innovative behaviors were significantly and positively related to relationship conflict when either employees have high extrinsic goals or supervisor have high performance goals or both; and when supervisor have low level of performance goals, employees’ innovative behaviors were significantly and positively related to their in-role job performance. We contribute in showing when there are positive and negative outcomes of employees’ innovative behaviors and document the effect of moderating factors that may strengthen these benefits and lower the conflicts.
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Using synthetic data for training deep neural networks for robotic manipulation holds the promise of an almost unlimited amount of pre-labeled training data, generated safely out of harm's way. One of the key challenges of synthetic data, to date, has been to bridge the so-called reality gap, so that networks trained on synthetic data operate correctly when exposed to real-world data. We explore the reality gap in the context of 6-DoF pose estimation of known objects from a single RGB image. We show that for this problem the reality gap can be successfully spanned by a simple combination of domain randomized and photorealistic data. Using synthetic data generated in this manner, we introduce a one-shot deep neural network that is able to perform competitively against a state-of-the-art network trained on a combination of real and synthetic data. To our knowledge, this is the first deep network trained only on synthetic data that is able to achieve state-of-the-art performance on 6-DoF object pose estimation. Our network also generalizes better to novel environments including extreme lighting conditions, for which we show qualitative results. Using this network we demonstrate a real-time system estimating object poses with sufficient accuracy for real-world semantic grasping of known household objects in clutter by a real robot.
Simultaneous Tracking of Coevolving Distributional Regularities in Speech

Speech processing depends upon mapping variable acoustic speech input in a manner that reflects the long-term regularities of the native language. Yet, these mappings are flexible such that introduction of short-term distributional regularities in speech input, like those arising from foreign accents or talker idiosyncrasies, leads to rapid adjustments in the effectiveness of acoustic dimensions in signaling phonetic categories. The present experiments investigate whether the system is able to track simultaneous short-term distributional statistics present in speech input or if, instead, the global regularity jointly defined by these distributions dominates. Three experiments establish that adult listeners are able to track distinct simultaneously evolving regularities across time, given information to support the “binning” of acoustic instances. Both voice quality and visual information to indicate talker supported tracking of coevolving distributional regularities, even when the regularities are opposing and even when the acoustic speech tokens contributing to the distinct distributions are identical. This indicates that reweighting of perceptual dimensions in response to short-term regularities in speech input is not simply an accumulation of acoustic instances. Rather, the system is able to track multiple context-sensitive regularities simultaneously, with rapid context-dependent adaptive adjustments in how acoustic speech input maps to phonetic categories.
Changing Attitudes of Medical Students Regarding Organ Donation from a University Medical School in Turkey

Background Doctors have an important role in increasing the number of organ donors. This study aimed to investigate the changing attitudes of medical students regarding organ donation, from first-year medical students (FYMS) to sixth-year medical students (SYMS) at a university medical school in Turkey. Material/Methods One hundred first-year medical students and 100 sixth-year medical students participated in the study. A four-part questionnaire was designed for the study, with a response rate of 66.8%. Results Completed study questionnaires showed that organ donation was considered by 46% of first-year medical students and 60% of sixth-year medical students, but an organ donor card was signed by only 8% and 10%, respectively. Information about organ donation had been sought, mainly from social media, by 72% of first-year medical students, and 55% of sixth-year medical students. Regarding their views on organ donation of their relatives, 78% of first-year medical students and 86% of sixth-year medical students were influenced by the opinions of their families and community. When asked about brain death, 50% of first-year medical students and 12% of sixth-year medical students believed it to be a potentially reversible condition, or were uncertain of the definition. Conclusions During six years of training in a university medical school in Turkey, there was only a slight increase in the number of students who were willing to become organ donors and there was a lack of formal education regarding organ donation. Therefore, urgent improvements are required in the education of doctors and society regarding organ donation.
Lower occlusion pressure during resistance exercise with blood-flow restriction promotes lower pain and perception of exercise compared to higher occlusion pressure when the total training volume is equalized.

Low-intensity resistance exercise with blood-flow restriction (BFR) promotes similar adaptations to high-intensity resistance exercise (HI-RE). Interestingly, BFR has been demonstrated to be effective for a wide range of occlusion pressures. However, the occlusion pressure magnitude may alter the psychophysiological stress related to BFR as measured by rating of perceived exertion scale (RPE) and rating of pain. We aimed to compare the RPE and pain levels across different magnitudes of occlusion pressures, promoting new knowledge regarding occlusion pressure on stress related to BFR. All BFR protocols ranging between 40% and 80% of total arterial occlusion (BFR40, BFR50, BFR60, BFR70, and BFR80) were compared to HI-RE in 12 participants using a randomized and crossover design 72 h apart. BFR protocols and HI-RE were performed with 30% and 80% of one-repetition maximum (1RM) test value, respectively. RPE and pain levels were measured before exercise and immediately after each set. BFR protocols (i.e., BFR40 and BFR50) presented overall lower RPE response compared to higher-pressure BFR (i.e., BFR70 and BFR80) and HI-RE conditions. For pain levels, low-pressure BFRs (i.e., BFR40 and BFR50), and HI-RE showed lower values than high-pressure BFR protocols (i.e., BFR60, BFR70, and BFR80). In conclusion, low-pressure BFR protocols promote lower RPE and pain compared to high-pressure BFR protocols (between 60% and 80% of occlusion pressure), when total training volume (TTV) is equalized. In addition, HI-RE promotes similar levels of pain, but higher RPE than low-pressure BFR, probably due to the higher TTV.
Protograph-Based LDPC Code Design for Ternary Message Passing Decoding

A ternary message passing (TMP) decoding algorithm for low-density parity-check codes is developed. All messages exchanged between variable and check nodes have a ternary alphabet, and the variable nodes exploit soft information from the channel. A density evolution analysis is developed for unstructured and protograph-based ensembles. For unstructured ensembles the stability condition is derived. Optimized ensembles for TMP decoding show asymptotic gains of up to 0.6 dB with respect to ensembles optimized for binary message passing decoding. Finite length simulations of codes from TMP-optimized ensembles show gains of up to 0.5 dB under TMP compared to protograph-based codes designed for unquantized belief propagation decoding.
Midfrontal theta transcranial alternating current stimulation modulates behavioural adjustment after error execution

Cognitive control during conflict monitoring, error processing, and post‐error adjustment appear to be associated with the occurrence of midfrontal theta (MFϴ). While this association is supported by correlational EEG studies, much less is known about the possible causal link between MFϴ and error and conflict processing. In the present study, we aimed to explore the role of band‐specific effects in modulating the error system during a conflict resolution. In turn, we delivered transcranial alternating current stimulation (tACS) at different frequency bands (delta δ, theta θ, alpha α, beta β, gamma γ) and sham stimulation over the medial frontal cortex (MFC) in 36 healthy participants performing a modified version of the Flanker task. Task performance and reports about the sensations (e.g. visual flickering, cutaneous burning) induced by the different frequency bands, were also recorded. We found that online θ‐tACS increased the response speed to congruent stimuli after error execution with respect to sham stimulation. Importantly, the accuracy following the errors did not decrease because of speed‐accuracy trade off. Moreover, tACS evoked visual and somatosensory sensations were significantly stronger at α‐tACS and β‐tACS compared to other frequencies. Our findings suggest that theta activity plays a causative role in modulating behavioural adjustments during perceptual choices in a stimulus‐response conflict task.
Potentiality of nanofilled thermoplastic insulation for DC cables and capacitors

This paper presents space charge accumulation characteristics of cable grade and capacitor grade nanostructured polypropylene (PP) materials, providing initial results regarding the electrical properties of nanofilled PP materials belonging to the European project GRIDABLE. This project has the aim to develop DC cable extruded insulation and MV and LV DC capacitor films having enhanced performance with respect to presently used materials. The paper shows that nanostructuration may be beneficial, especially at higher temperature, to improve the capacitor-grade material performance. On the other hand, this work validates the importance of surface functionalization of nanofillers, leading to lower space charge accumulation on DC cable-grade materials.
Prolonged Recovery From General Anesthesia Possibly Related to Persistent Hypoxemia in a Draft Horse

Horses are susceptible to developing large areas of pulmonary atelectasis during recumbency and anesthesia. The subsequent pulmonary shunt is responsible for significant impairment of oxygenation. Since ventilation perfusion mismatch persists into the post-operative period, hypoxemia remains an important concern in the recovery stall. This case report describes the diagnosis and supportive therapy of persistent hypoxemia in a 914 kg draft horse after isoflurane anesthesia. It highlights how challenging it can be to deal with hypoxemia after disconnection from the anesthesia machine and how life-threatening it can become if refractory to treatment. Furthermore, it stresses the point on the interactions between hypoxemia and other factors, such as residual drug effects and hypothermia, that should also be considered in the case of delayed recovery from general anesthesia.