Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Different Routes of Vaccination against Aeromonas salmonicida on Rearing Indicators and Survival after an Experimental Challenge of Pikeperch (Sander lucioperca) in Controlled Rearing

Bacterial diseases are a significant problem in the controlled rearing of fish. Furunculosis (Aeromonas sp.), flavobacteriosis (Flavobacterium sp.), and pseudomonadosis (Pseudomonas sp.) are currently the most frequently identified diseases in recirculating aquaculture systems of various fish species. Such a situation is also observed in pikeperch rearing. Due to the emerging difficulties of effective prophylaxis using commercial vaccines, interest in the use of autovaccinations is increasing, not only in ichthyopathology but also in other veterinary fields. Our research aimed to assess the effect of the vaccination method on the overall condition of the fish and survival after the experimental infection with Aeromonas salmonicida. Pikeperch were vaccinated by (1) bath, (2) a single i.p. injection, or (3) feed. The fish were measured and weighed on day 0 and after 28 and 56 days of the experiment. Specific growth rate, daily growth rate, condition factor, and feed conversion ratio were calculated. On days 7, 14, 21, and 28 of the experiment, ceruloplasmin and lysozyme levels were rated. In addition, a challenge test was performed. The obtained results showed that the method of vaccination is important and affects the growth of fish, the overall condition of fish, and survival after experimental infection.
Impact of Infant and Maternal Factors on Energy and Macronutrient Composition of Human Milk

The present study investigates the influence of selected infant and maternal factors on the energy and macronutrient composition of mature human milk (HM). The study enrolled 77 mothers at 4–8 weeks postpartum. Each mother provided 1 sample of HM. Each extracted HM sample was formed by mixing four subsamples of HM, each of which were obtained in one predefined 6-h periods of the day. Among maternal factors, the analysis included: anthropometric data before and after pregnancy; weight gain in pregnancy; body composition, assessed using the Maltron BioScan 920-II to analyze bioimpedance; and dietary intake, assessed with three-day dietary records. Among the neonatal factors, birth weight and length, number of daily feedings and type of delivery were included. The composition of HM, including energy content, protein, fat and carbohydrate concentrations, was analyzed using the Miris human milk analyzer. Pearson’s and Spearman’s correlation coefficients and multivariable logistic regression models were used to analyze the association between the selected maternal and infant factors and HM milk composition. It was found that total protein content of HM was correlated with pre-pregnancy BMI (Spearman rho = 0.238; p = 0.037), current lean body mass (Spearman rho = −0.293, p = 0.01) and total water content (Spearman rho = −0.315, p = 0.005). Carbohydrates were the only macronutrients whose composition was significantly affected by the infant factors. It was reported that higher carbohydrate content was associated with male sex (OR = 4.52, p = 0.049). Our results show that maternal and infant factors, especially maternal pre-pregnancy and current nutritional status and infant sex, interact and affect HM composition, suggesting that macronutrient and energy content in HM may be determined in pregnancy and may have unique compositional profile for every mother–infant dyad.
Transforming the Adaptation Physiology of Farm Animals through Sensors

Simple Summary Strategy for the protection and welfare of farm animals, and the sustainable animal production is dependent on the thorough understanding of the adaptation physiology. Real-time, continuous, and precise measurement of the multi-dimensions and complex intricacies of adaptive capacity of farm animals namely the mental, behavioral, and physiological states are possible only through the sensor-based approaches. This paper critically reviews the latest sensor technologies as assessment tools for the adaptation physiology of farm animals and explores their advantages over traditional measurement methods. Digital innovation, diagnostics, genetic testing, biosensors, and wearable animal devices are important tools that enable the development of decision support farming platforms and provides the path for predicting diseases in livestock. Sensor fusion data from a multitude of biochemical, emotional, and physiological functions of the farm animals not only helps to identify the most productive animal but also allows farmers to predict which individual animal may have greater resilience to common diseases. Insights into the cost of adoption of sensor technologies on farms including computing capacity, human resources in training, and the sensor hardware are being discussed. Abstract Despite recent scientific advancements, there is a gap in the use of technology to measure signals, behaviors, and processes of adaptation physiology of farm animals. Sensors present exciting opportunities for sustained, real-time, non-intrusive measurement of farm animal behavioral, mental, and physiological parameters with the integration of nanotechnology and instrumentation. This paper critically reviews the sensing technology and sensor data-based models used to explore biological systems such as animal behavior, energy metabolism, epidemiology, immunity, health, and animal reproduction. The use of sensor technology to assess physiological parameters can provide tremendous benefits and tools to overcome and minimize production losses while making positive contributions to animal welfare. Of course, sensor technology is not free from challenges; these devices are at times highly sensitive and prone to damage from dirt, dust, sunlight, color, fur, feathers, and environmental forces. Rural farmers unfamiliar with the technologies must be convinced and taught to use sensor-based technologies in farming and livestock management. While there is no doubt that demand will grow for non-invasive sensor-based technologies that require minimum contact with animals and can provide remote access to data, their true success lies in the acceptance of these technologies by the livestock industry.
Role of endogenous and exogenous attention in task-relevant visual perceptual learning

The present study examined the role of exogenous and endogenous attention in task relevant visual perceptual learning (TR-VPL). VPL performance was assessed by examining the learning to a trained stimulus feature and transfer of learning to an untrained stimulus feature. To assess the differential role of attention in VPL, two types of attentional cues were manipulated; exogenous and endogenous. In order to assess the effectiveness of the attentional cue, the two types of attentional cues were further divided into three cue-validity conditions. Participants were trained, on a novel task, to detect the presence of a complex gabor patch embedded in fixed Gaussian contrast noise while contrast thresholds were varied. The results showed initial differences were found prior to training, and so the magnitude of learning was assessed. Exogenous and endogenous attention were both found to facilitate learning and feature transfer when investigating pre-test and post-test thresholds. However, examination of training data indicate attentional differences; with endogenous attention showing consistently lower contrast thresholds as compared to exogenous attention suggesting greater impact of training with endogenous attention. We conclude that several factors, including the use of stimuli that resulted in rapid learning, may have contributed to the generalization of learning found in the present study.
Association of Frequency of Perceived Exposure to Discrimination with Tobacco Withdrawal Symptoms and Smoking Lapse Behavior in African Americans.

BACKGROUND AND AIMS Frequent experiences of discrimination could increase vulnerability to tobacco withdrawal and smoking lapse in populations subject to tobacco-related health disparities. This laboratory study (2013-2017) examined whether individual differences in perceived exposure to discrimination in one's daily life predicted tobacco withdrawal symptoms and smoking lapse behavior following acute tobacco deprivation in African American smokers. DESIGN Mixed design with the between-subjects continuous variable of perceived discrimination crossed with the within-subject variable of tobacco deprivation status (deprived vs. non-deprived). SETTING Academic medical center in Los Angeles, California, USA. PARTICIPANTS African American non-treatment seeking daily cigarette smokers (N=607, ≥10 cig/day). MEASUREMENTS At a baseline visit, self-reported frequency of perceived exposure to discrimination in one's daily life was measured (EDDS). At two subsequent counterbalanced experimental visits (16-hour tobacco deprivation vs. ad libitum smoking), self-report assessments of various tobacco withdrawal symptom domains (Brief-QSU, WSWS, POMS, SHAPS, and CIS) and a behavioral smoking lapse analogue task were measured. FINDINGS Adjusted models demonstrated that greater frequency of perceived exposure to discrimination was associated with larger deprivation-induced increases in acute urges to smoke to alleviate negative mood, several negative mood states, and subjective cognitive functioning-effect sizes were small in magnitude (βs=.09-.13; ps<.02). Data were inconclusive for associations between perceived exposure to discrimination and deprivation-induced changes in cravings, urges to smoke for pleasure, positive mood reduction, other symptoms, or smoking reinstatement behavior. CONCLUSIONS Frequency of perceived exposure to discrimination appears to be modestly associated with increased severity of some deprivation-induced tobacco withdrawal symptoms in African American smokers.
Mobilization of 14C-carbohydrate reserves in relation to vegetative growth and inflorescence development in June bearing strawberry plants

SummarySingle leaves of June-bearing strawberry plants (Fragaria × ananasso Duch. cv. Donner) were exposed to l4CO2 at four growth stages from 6 September to 17 January and the mobilization of 14C-labelled reserves in relation to the plant growth after forcing was analysed. The dry mass of roots increased continuously from late summer (6 September) to the onset of forcing (24 January). Under forcing conditions, the dry mass of roots, soluble sugar and starch contents per roots decreased by 33%, 53% and 96%, respectively to full bloom stage (21 February) with a concomitant increase in the dry mass of inflorescences and new leaves. These results suggest that carbohydrate reserves, especially starch, accumulated in the previous growing season in the roots of June-bearing strawberry plants are mainly utilized for the initial vegetative growth and flowering. The accumulation rate of non-structural carbohydrates per roots was greater between 6 September and 12 October (17.5 mg per day) than between 25 November .
Current biomarkers for the detection of endometriosis

Abstract A clinically reliable non-invasive test for endometriosis is expected to reduce the diagnostic delay. Although varieties of biomarkers have been investigated for decades, and cancer antigen-125, cancer antigen-199, interleukin-6, and urocortin were the most studied ones among hundreds of biomarkers, no clinically reliable biomarkers have been confirmed so far. Some emerging technologies including “omics” technologies, molecular imaging techniques, and microRNAs are promising in solving these challenges, but their utility to detect endometriosis has yet to be verified. New combinations of researched indicators or other non-invasive methods and further exploration of the emerging technologies may be new targets and future research hotspots for non-invasive diagnosis of endometriosis. In conclusion, researches of biomarkers for the detection of endometriosis are still ongoing and may benefit from novel molecular biology, bioinformatics methods and a combination of more diverse monitoring methods. Though it will be a daunting task, the identification of a specific set of diagnostic biomarkers will undoubtedly improve the status of endometriosis.
Signalling Pinpointed to the Tip: The Complex Regulatory Network That Allows Pollen Tube Growth

Plants display a complex life cycle, alternating between haploid and diploid generations. During fertilisation, the haploid sperm cells are delivered to the female gametophyte by pollen tubes, specialised structures elongating by tip growth, which is based on an equilibrium between cell wall-reinforcing processes and turgor-driven expansion. One important factor of this equilibrium is the rate of pectin secretion mediated and regulated by factors including the exocyst complex and small G proteins. Critically important are also non-proteinaceous molecules comprising protons, calcium ions, reactive oxygen species (ROS), and signalling lipids. Among the latter, phosphatidylinositol 4,5-bisphosphate and the kinases involved in its formation have been assigned important functions. The negatively charged headgroup of this lipid serves as an interaction point at the apical plasma membrane for partners such as the exocyst complex, thereby polarising the cell and its secretion processes. Another important signalling lipid is phosphatidic acid (PA), that can either be formed by the combination of phospholipases C and diacylglycerol kinases or by phospholipases D. It further fine-tunes pollen tube growth, for example by regulating ROS formation. How the individual signalling cues are intertwined or how external guidance cues are integrated to facilitate directional growth remain open questions.
Further Observations on Douglure in a Dendroctonus pseudotsugae Management System

Douglure, a 4: 1: 1 mixture of frontal in, camphene, and alpha-pinene, respectively, was very effective in inducing mass attacks by the Douglas fir beetle, Dendroctonus pseudotsugae Hopkins, on live Douglas fir, Pseudotsllga menziesii (Mirb.) Franco. Attack densities were lower in baited mass-attacked trees than in naturally attacked trees. However, mass-attacked trees that were adjacent to a baited tree achieved attack densities comparable to naturally attacked trees. Baiting of individual live trees was more efficient in aggregating the pest population within 1 chain of the bait trees than was a pattern of baiting trees in groups of 3. Presalvage baiting with Douglure should maximize the removal of Douglas fir beetle-infested trees. Deadtrapping with Douglure-baited plywood panels coated with Stikem Special® docs not appear to be effective in a pest-management program, probably because of the overwhelming effectiveness of natural pheromone sources.
Child Temperament Outcomes After Laser Surgery for Twin-Twin Transfusion Syndrome.

OBJECTIVE Twin-twin transfusion syndrome (TTTS) is a severe pregnancy complication of monochorionic (identical) twins that results in markedly discordant in utero environments for each twin. The aim of this study was to test for differences in temperament between former donor (hypovolemic, smaller) and recipient (hypervolemic, larger) twins with TTTS. METHODS Parents of dual survivors aged 3 to 7 years who underwent in utero laser surgery for TTTS were surveyed using the Children's Behavior Questionnaire-Very Short Form (CBQ-VSF). The CBQ-VSF assessed 3 traits: Surgency, Negative Affect, and Effortful Control. Differences in traits between donor and recipients were assessed using a paired t test. RESULTS We studied 85 twin pairs treated in utero for TTTS. There were no statistically significant differences in Surgency, Negative Affect, or Effortful Control between recipients and donors, although score differences for each trait varied widely among sibling pairs. CONCLUSION Despite varied in utero environments, no temperament differences between donor and recipient monozygotic twins were found for the population as a whole. This finding may be of some reassurance to parents whose pregnancies are complicated by TTTS.
Measurement of Retinal Foveal Thickness and Foveal Volume during Pregnancy in Saudi Females Using Optical Coherence Tomography

Purpose: To evaluate whether pregnancy have an effect on the foveal thickness (FT) and volume (FV) in Saudi women. Methods: This study involved 120 pregnant women (age range: 19-37 years) in the first, second and third trimester as the study groups and compared to 40 healthy non-pregnant women with similar age range.The assessment of FT and FV in each group was done using the optical coherence tomography (OCT). Statistics such as the mean, percentiles and range were used. A P -value of 0.05 or less was set to test significance. Results: Average foveal thickness and foveal volume were significantly larger ( P≤0.05) in the first, second and third trimesters compared to controls. The mean FT was 226.57±23.3 μm, 231.37±19.21 μm, 240.3±21.76 μmin group 2,3, and 4 respectively compared to control mean of 214.2±19. 73μm. Mean FV was 0.259±0.07 mm 3 , 0.241±0.05 mm 3 , 0.300±0.11 mm 3 in group 2,3, and 4 respectively compared to control mean of 0.169±0.015 mm 3 . The 3 rd trimester was associated with significantly (P≤0.05) higher FV compared to the 2 nd trimester. Conclusion: The changes associated with pregnancy such as the increase of body fluids, can cause significant alteration in FT and FV. Although such alteration may not affect the quality of vision in healthy subjects, pregnant women with conditions that may cause fluid retention, or those with pre-existing systemic or eye disease or who are predisposed to risk factors should be monitored during pregnancy to avoid unexpected complications.
The conserved ribonuclease aCPSF1 triggers genome-wide transcription termination of Archaea via a 3′-end cleavage mode

Abstract Transcription termination defines accurate transcript 3′-ends and ensures programmed transcriptomes, making it critical to life. However, transcription termination mechanisms remain largely unknown in Archaea. Here, we reported the physiological significance of the newly identified general transcription termination factor of Archaea, the ribonuclease aCPSF1, and elucidated its 3′-end cleavage triggered termination mechanism. The depletion of Mmp-aCPSF1 in Methanococcus maripaludis caused a genome-wide transcription termination defect and disordered transcriptome. Transcript-3′end-sequencing revealed that transcriptions primarily terminate downstream of a uridine-rich motif where Mmp-aCPSF1 performed an endoribonucleolytic cleavage, and the endoribonuclease activity was determined to be essential to the in vivo transcription termination. Co-immunoprecipitation and chromatin-immunoprecipitation detected interactions of Mmp-aCPSF1 with RNA polymerase and chromosome. Phylogenetic analysis revealed that the aCPSF1 orthologs are ubiquitously distributed among the archaeal phyla, and two aCPSF1 orthologs from Lokiarchaeota and Thaumarchaeota could replace Mmp-aCPSF1 to terminate transcription of M. maripaludis. Therefore, the aCPSF1 dependent termination mechanism could be widely employed in Archaea, including Lokiarchaeota belonging to Asgard Archaea, the postulated archaeal ancestor of Eukaryotes. Strikingly, aCPSF1-dependent archaeal transcription termination reported here exposes a similar 3′-cleavage mode as the eukaryotic RNA polymerase II termination, thus would shed lights on understanding the evolutionary linking between archaeal and eukaryotic termination machineries.
Improved Pose Estimation of Aruco Tags Using a Novel 3D Placement Strategy

This paper extends the topic of monocular pose estimation of an object using Aruco tags imaged by RGB cameras. The accuracy of the Open CV Camera calibration and Aruco pose estimation pipelines is tested in detail by performing standardized tests with multiple Intel Realsense D435 Cameras. Analyzing the results led to a way to significantly improve the performance of Aruco tag localization which involved designing a 3D Aruco board, which is a set of Aruco tags placed at an angle to each other, and developing a library to combine the pose data from the individual tags for both higher accuracy and stability.
The effect of intracoronary infusion of bone marrow-derived mononuclear cells on all-cause mortality in acute myocardial infarction: the BAMI trial

Abstract Aims Bone marrow-derived mononuclear cell (BM-MNC) therapy may improve myocardial recovery in patients following acute myocardial infarction (AMI), though existing trial results are inconsistent. Methods and results Originally an open-label, multicentre Phase III trial, BAMI was designed to demonstrate the safety and efficacy of intracoronary infusion of BM-MNCs in reducing the time to all-cause mortality in patients with reduced left ventricular ejection fraction (LVEF, ≤45%) after primary angioplasty (PPCI) for ST-elevation AMI. Unexpectedly low recruitment means the trial no longer qualifies as a hypothesis-testing trial, but is instead an observational study with no definitive conclusions possible from statistical analysis. In total, 375 patients were recruited: 185 patients were randomized to the treatment arm (intracoronary infusion of BM-MNCs 2–8 days after PPCI) and 190 patients to the control arm (optimal medical therapy). All-cause mortality at 2 years was 3.26% [6 deaths; 95% confidence interval (CI): 1.48–7.12%] in the BM-MNC group and 3.82% (7 deaths; 95% CI: 1.84–7.84%) in the control group. Five patients (2.7%, 95% CI: 1.0–5.9%) in the BM-MNC group and 15 patients (8.1%, CI : 4.7–12.5%) in the control group were hospitalized for heart failure during 2 years of follow-up. Neither adverse events nor serious adverse events differed between the two groups. There were no patients hospitalized for stroke in the control group and 4 (2.2%) patients hospitalized for stroke in the BM-MNC group. Conclusions Although BAMI is the largest trial of autologous cell-based therapy in the treatment of AMI, unexpectedly low recruitment and event rates preclude any meaningful group comparisons and interpretation of the observed results.
Manipulation and Applications of Hotspots in Nanostructured Surfaces and Thin Films

The synthesis of nanostructured surfaces and thin films has potential applications in the field of plasmonics, including plasmon sensors, plasmon-enhanced molecular spectroscopy (PEMS), plasmon-mediated chemical reactions (PMCRs), and so on. In this article, we review various nanostructured surfaces and thin films obtained by the combination of nanosphere lithography (NSL) and physical vapor deposition. Plasmonic nanostructured surfaces and thin films can be fabricated by controlling the deposition process, etching time, transfer, fabrication routes, and their combination steps, which manipulate the formation, distribution, and evolution of hotspots. Based on these hotspots, PEMS and PMCRs can be achieved. This is especially significant for the early diagnosis of hepatocellular carcinoma (HCC) based on surface-enhanced Raman scattering (SERS) and controlling the growth locations of Ag nanoparticles (AgNPs) in nanostructured surfaces and thin films, which is expected to enhance the optical and sensing performance.