Miracle-dz/UniFAR-FTUs huggingface dataset:
Recipe for a Healthy Gut: Intake of Unpasteurised Milk Is Associated with Increased Lactobacillus Abundance in the Human Gut Microbiome

Introduction: The gut microbiota plays a role in gut–brain communication and can influence psychological functioning. Diet is one of the major determinants of gut microbiota composition. The impact of unpasteurised dairy products on the microbiota is unknown. In this observational study, we investigated the effect of a dietary change involving intake of unpasteurised dairy on gut microbiome composition and psychological status in participants undertaking a residential 12-week cookery course on an organic farm. Methods: Twenty-four participants completed the study. The majority of food consumed during their stay originated from the organic farm itself and included unpasteurised milk and dairy products. At the beginning and end of the course, participants provided faecal samples and completed self-report questionnaires on a variety of parameters including mood, anxiety and sleep. Nutrient intake was monitored with a food frequency questionnaire. Gut microbiota analysis was performed with 16S rRNA gene sequencing. Additionally, faecal short chain fatty acids (SCFAs) were measured. Results: Relative abundance of the genus Lactobacillus increased significantly between pre- and post-course time points. This increase was associated with participants intake of unpasteurised milk and dairy products. An increase in the faecal SCFA, valerate, was observed along with an increase in the functional richness of the microbiome profile, as determined by measuring the predictive neuroactive potential using a gut–brain module approach. Conclusions: While concerns in relation to safety need to be considered, intake of unpasteurised milk and dairy products appear to be associated with the growth of the probiotic bacterial genus, Lactobacillus, in the human gut. More research is needed on the effect of dietary changes on gut microbiome composition, in particular in relation to the promotion of bacterial genera, such as Lactobacillus, which are recognised as being beneficial for a range of physical and mental health outcomes.
Stereoselective Reductions of 3-Substituted Cyclobutanones: a Comparison Between Experiment and Theory.

The stereoselective reduction of carbonyls is of key importance in the total synthesis of natural products and in medicinal chemistry. Nevertheless, models for rationalizing the stereoselectivity of the hydride reductions of cyclobutanones towards cyclobutanols are largely lacking, unlike cyclohexanone reductions. In order to elucidate the factors that control the stereoselectivity of these reductions, we have investigated the effect of the reaction temperature, solvent, substituent and type of reducing agent using a synergistic experimental-computational approach. On the experimental side, the hydride reduction of 3-substituted cyclobutanones was proven to be highly selective for the formation of the cis alcohol (> 90%) irrespective of the size of the hydride reagent. The pronounced selectivity can be further enhanced by lowering the reaction temperature or decreasing solvent polarity. On the computational side, DFT and noncovalent interaction analysis reveal that torsional strain plays a major role in the preference for the anti-facial hydride approach, consistent with the Felkin-Anh model. In the presence of the benzyloxy substituent, the high selectivity for the cis isomer is also driven by repulsive electrostatic interactions in the case of a syn-facial hydride attack. The computed cis:trans ratios are in good agreement with the experimental ones and thus show the potential of computational chemistry for predicting and rationalizing the stereoselectivity of hydride reductions of cyclobutanones.
Draft Genome Sequence of Enterobacter asburiae UFMG-H9, Isolated from Urine from a Healthy Bovine Heifer (Gyr Breed)

Enterobacter asburiae is part of the Enterobacter cloacae complex, related to nosocomial opportunistic infections in humans. Here, we report the draft genome of E. asburiae strain UFMG-H9, an isolate from urine from a healthy Gyr heifer. ABSTRACT Enterobacter asburiae is part of the Enterobacter cloacae complex, related to nosocomial opportunistic infections in humans. Here, we report the draft genome of E. asburiae strain UFMG-H9, an isolate from urine from a healthy Gyr heifer.
Perceptions of receiving behaviour change interventions from GPs during routine consultations: A qualitative study

General Practitioners (GPs) are expected to provide patients with health behaviour change interventions, yet little is known about the views of patients themselves. We aimed to understand recent patients’: (1) general expectations about GPs delivering health behaviour change interventions during routine consultations (including perceptions of appropriateness and helpfulness for receiving interventions), (2) perceptions of responsibility for GPs to talk about health behaviours, and (3) experiences of receiving behaviour change interventions. Twenty-four semi-structured interviews were conducted with people who had recently attended a routine GP consultation. Data were analysed thematically. Three major themes were identified: (1) acceptability of discussions about behaviour change, (2) establishing clinician-patient rapport, and (3) healthcare professionals as a credible source and well placed to offer behaviour change interventions. Most patients were positive about, and were willing to accept behaviour change interventions from their GP during a routine consultation. Although behaviour change was perceived as a sensitive topic for patients, the doctor-patient relationship was perceived to provide an effective platform to discuss behaviour change, with the GP perceived as an appropriate and important healthcare professional from whom to receive advice. Contrary to the views of GPs, behaviour change interventions were perceived by patients as appropriate and helpful during routine medical consultations, particularly where behaviour change could have a positive effect on long-term condition management. Behaviour change interventions delivered by GPs during routine consultations could be used effectively in time-restricted consultations.
Single-Anchor Positioning: Multipath Processing With Non-Coherent Directional Measurements

High-accuracy indoor radio positioning can be achieved by using (ultra) wideband (UWB) radio signals. Multiple fixed anchor nodes are needed to compute the position or alternatively, specular multipath components (SMCs) extracted from radio signals can be exploited. In this work, we study a multipath-based, single-anchor positioning system that acquires directional measurements non-coherently. These non-coherent measurements can be obtained, e.g., from a single-chain mm-wave transceiver with analog beam steering or from a low-complexity ultra-wideband transceiver with switched directional antennas. The directional antennas support the separation of SMCs and the suppression of the undesired diffuse multipath component (DMC) with the benefit that the required signal bandwidth can be drastically reduced. The paper analyzes the Cramér-Rao lower bound (CRLB) on the position estimation error to gain insight in the influence of the system design parameters as well as the impact of the DMC on the position error. The CRLB is compared between the non-coherent antenna setup, a conventional array with coherent processing, and a single-antenna setup. A maximum-likelihood position estimation algorithm is formulated. Its performance is evaluated with synthetically generated data as well as with UWB measurements. We show that the accuracy and robustness are significantly improved due to the processing of angular information. Analyzing the measured data for a line-of-sight link, the median error decreases from 22 down to 7 cm, the measurements better than 20 cm increase from 46 to 95 %, and outliers above 50 cm reduce from 12 to 0%.
Mobile Devices: A Pricing Approach to Optimize Transmission Strategies

Normally, a single connection does not allow full use of the network, especially when the quality of the network is not good. On the other hand, the simultaneous multiple data transmission can improve the use of the network. Unlike existing solutions in the literature, in this paper, we propose a solution to the network resource allocation problem under the selfish behavior of mobile device with multiple connections to a several available network interfaces simultaneously, to resolve the conflict of interest in network. We analyze the impact of interactions between users based on two conflicting factors (i.e., throughput and monetary cost). Also, a diverse set of user's service types is taken into consideration, which makes the proposed approach suitable for an integrated service network. Analytical and Numerical results demonstrate the validity of the proposed approach, which show that the non-cooperative game has an equilibrium point which depends on all parameters of the system; and we show that this situation between mobile devices is much more beneficial in terms of the performance of mobiles, cost and the data transfer rate.
Path Planning for ground robots in agriculture: a short review

The world’s population is estimated to reach nine billion people by the year 2050, which indicates that agricultural productivity must increase sustainably. The mechanisation and automatisation of agricultural tasks is an essential step to face population growth. Ground robots have been developed along the last decade for several agricultural applications, being, the autonomous and safe navigation one of the hardest challenge in this development. Moving autonomously, a mobile platform involves different tasks, such as localisation, mapping, motion control, and path planning, a crucial step for autonomous operations. This article performs a survey of different applications for path planning techniques applied to various agricultural contexts. This paper analyses different agricultural applications and details about the employed path planning method. The conclusion indicates that path planning has been successfully applied to agrarian robots for field coverage and point-to-point navigation, being that coverage path planning is slightly more advanced in this field.
An ECG-PPG Wearable Device for Real Time Detection of Various Arrhythmic Cardiovascular Diseases

Physiological signals ECG and PPG can be used for monitoring and detecting cardiac abnormalities efficiently. In the proposed work, a cost-effective ECG- PPG device has been designed using commercially available off-the-shelf (COTS) components to extract vital physiological signals. Further, those signals are processed to detect arrhythmic abnormalities and estimate Blood Pressure (BP). The accuracy of the ECG signal processing algorithm and BP estimation depends largely upon the accurate detection of the R-peak. The proposed work detects R-peak with the FDR (False Detection Rate) of 1.289%. Estimation of BP is done using Pulse Transit Time (PTT) and Pulse Wave Velocity (PWV) methods. The results indicate the BP estimation with Root Mean Square Error (RMSE) of 13.18% for Systolic Blood Pressure(SBP) and 9.98% for Diastolic Blood Pressure (DBP).
Comparison of two passive solutions for noise reduction of PWM-fed induction machines

In this paper, two passive solutions for noise reduction of PWM-fed induction machines are compared: the use of LC filter connected between the PWM inverter and the machine, and a three-phase damper wound inside the machine and connected to three capacitors. Firstly, the advantages and disadvantages of each solution are recalled. Then, the efficiency of both solutions in terms of harmonic flux density reduction is discussed. The weight and size criteria are also studied. Results are given for two different power range of induction machines: 4kW and 55kW.
Alpha C2–An Intelligent Air Defense Commander Independent of Human Decision-Making

The ultimate goal of military intelligence is to equip the command and control (C2) system with the decision-making art of excellent human commanders and to be more agile and stable than human beings. Intelligent commander Alpha C2 solves the dynamic decision-making problem in the complex scenarios of air defense operations using a deep reinforcement learning framework. Unlike traditional C2 systems that rely on expert rules and decision-making models, Alpha C2 interacts with digital battlefields close to the real world and generates learning data. By integrating the states of multiple parties as input, a gated recurrent unit network is used to introduce historical information, and an attention mechanism selects the object of action, making the output decision more reliable. Without learning human combat experience, the neural network is trained in fixed- and random-strategy scenarios based on a proximal policy optimization algorithm. Finally, 1,000 rounds of offline confrontation were conducted on a digital battlefield, whose results show that the generalization ability of Alpha C2 trained using a random strategy is better, and that it can defeat an opponent with a higher winning rate than an Expert C2 system (72% vs 21%). The use of resources is more reasonable than Expert C2, reflecting the flexible and changeable art of command.
Automatic Video Tracking of Chinese Mitten Crab Using Particle Filter Based on Multi Features

In order to know the living habits of Chinese Mitten Crab automatically, we proposed a new computer vision algorithm to track the trajectory of crab in this paper. Particle Filter tracking algorithm is used to predict the target's location and size from the captured video sequences. We proved it is suitable to handle non-Gaussian movement, which meet the movement characteristics of crab movement. In the feature match stage of motion tracking, we propose using multi-features which contains color and contour features to match the target for increasing the tracking stability and robustness. By using the weighting method, the multi-features particle filter (MFPF) combines the color and contour features which could effectively solve the tracking failure problem due to similar color interference, strong light disturbance and deformation of the target. To determine the robustness and accuracy of our algorithm, we have used about 10 minutes video sequences to test our algorithm. The experimental results show that the MFPF is feasible and can be used as an efficient tool to get the pathway of crabs under water to a certain extent with solving the problem of the previous methods.
Hyperbolic Lens Horn Antenna for Fixed-Beam E-Band Communication

The paper presents hyperbolic lens horn antenna for fixed-beam millimeter wave backhaul system. The frequency ranges of 71/76 GHz and 81/86 GHz (E-band) which are perspective for the future point-to-point 5G communications are fully covered. The dielectric material of high-density polyethylene (HDPE) with εr = 2.29 and tanδ = 0.0008 is used for lens design and the stepped rectangular to circular waveguide transition is designed to feed the antenna. The measured realized gain of proposed antenna exceeds 39 dBi, side-lobe suppression in both E and H planes is above 22.1 dB, what helps with directing the point-to-point microwave links, antenna is also relatively light with weight of only 2.4 kg and can comply with radiation pattern envelope of standard ETSI in class 2 (3).
Efficient and Privacy-preserving Online Biometric Authentication Scheme

Biometric identity authentication is the most important way of identity authentication. More and more network services such as account login and online payment are using biometric authentication. In these scenarios, it is significant to protect the privacy of biometrics data. Such as the collection, transmission, storage and matching of biometrics data. Based on discrete logarithm problem and Bloom filter, this paper proposes a privacy-preserving online biometric authentication scheme. The correctness, security and computational complexity of the scheme are analyzed. Main algorithms of the scheme are implemented in python to evaluate its performance. The experimental data shows that the scheme is more efficient than the existing online biometric authentication scheme.
[3D analysis of the temporomandibular joint and occlusal relationships based on computer virtual simulation].

AIM To develop a method for automated analysis of TMJ elements based on computed tomography and a method for analyzing the features of the ratio of TMJ elements when changing the position of the mandible without repeated CT examination. MATERIAL AND METHODS To complete method required a computer tomogram of the temporomandibular joint in habitual occlusion recorded on spiral or cone-beam imaging; and 3D scans of the dentition obtained with intraoral and laboratory scanners; computer software - 3D graphics editor that can handle volumetric CT data and 3D mesh objects. RESULTS Analysis of the joint space of the temporomandibular joint in the entire volume, not a single slice represents a more complete and reliable information about the condition of the joint. The presented method of predicting the position of TMJ heads on the basis of obtaining bite registers eliminates the probable errors of the doctor and the need for repeated CT scans, which reduces the radiation load on the patient. Virtual simulation of movements of the mandible from the position of habitual occlusion in the position of Central correlation, protrusion, right and left literaturesee with the visualization of movements of the articular heads helps to better understand the biomechanics of the TMJ, diagnostics and to obtain valuable data about the individual characteristics of the masticatory apparatus of the patient. CONCLUSION The developed virtual articulator (patent No. 2567604) is another useful step in the development of digital technologies in dentistry.
A Survey of Image-Based Indoor Localization using Deep Learning

The development of deep learning has rapidly updated image-based localization techniques. This paper presents a review and comparison of the current state-of-the-art methods for image-based localization using deep learning in the indoor environment. Traditional Global Structure from Motion (SfM) pipeline and learning-based pipeline from the recent techniques have been analyzed. Based on the pipeline, the methods are categorized into three groups: learned features and matching, learned relative pose estimation, and learned absolute pose estimation. Since multiple sensors are used in many applications, sensor fusion techniques including image information, have been briefly reviewed in this paper as well. Furthermore, the paper discusses challenges in these methods and concludes learned features and matching is the more competitive method for indoor localization.
Effects of turnip mosaic virus and turnip yellow mosaic virus on the survival, growth and reproduction of wild cabbage (Brassica oleracea)

SUMMARY Wild plants of Brassica oleracea (wild cabbage) are commonly infected with turnip mosaic poty virus (TuMV), turnip yellow mosaic tymovirus (TYMV) and several other viruses. A field experiment in which plants were inoculated either with TuMV or TYMV showed that virus infection significantly reduced survival, growth and reproduction. Relative to water inoculated-controls, plants infected with TYMV had greater mortality, were shorter, had a smaller leaf area and number, showed a greater amount of damage from herbivory and chlorosis, were less likely to flower and produced fewer pods and lower total seed output. Plants infected with TuMV did not appear to be adversely affected at first; however, mortality after 18 months was higher than control plants. Although TuMV infection had no effect on the number of plants flowering, the infected plants did produce fewer pods and a lower total seed output. We conclude that both viruses can significantly affect vegetative and reproductive performance of wild cabbage and hence that introgression of virus resistance (particularly when conferred by a major gene or a transgene) from a crop might increase plant fitness in natural populations of this species. Ecological risk assessments of virus resistance transgenes must do more than survey adult plants in natural populations for the presence of the target virus. Failure to detect the virus could be due to high mortality on infection with the virus.
Screening for Antioxidant Activity, Phenolic Content, and Flavonoids from Australian Native Food Plants

Seven kinds of bush plants, namely, bush tomato (BT), lemon myrtle (LM), wild lime (WL), finger lime (FL), wattle seed (WS), Davidson's plum (DP), and Kakadu plum (KP) were investigated for antioxidant capacity by 2,2-diphenyl-1-picrylhydrazyl radical, Trolox equivalent antioxidant capacity assay, or 2,2'-azinobis-93-ethyl-benzothiazoline-6-sulfonic acid radical, total polyphenols, and flavonoids. It was found that there was a positive correlation between antioxidant activities examined by the two methods. However, there was a negative correlation between total phenol and each of the antioxidant activity tests; for example, Davidson's plum contained the phenolic content as high as 890 mg GAE/100 g while low antioxidant activities were detected (23 TE/100 g and 45% for TEAC and % DPPH, respectively). For the qualitative flavonoids test, bush tomato contained feulic acid, caffeic acid, naringenin, and hesperetin. Lemon myrtle contained catechin, epicatechin, vanilic acid, myricetin, kampferol, and naringenin. Finger lime contained caffeic acid and vanilic acid. Wild lime contained epicatechin, vanilic acid, luteolin, and naringenin. Kakadupum contain catechin and naringenin. Davidson's plum contained naringenin and hesperetin. Wattle seed contained naringenin. However, some other compounds could not be identified because there was no standard to confirm the retention time available. Absorbance was changed for the detection of anthocyanins in Davidson's plums from 220–400 to 525 nm. It was shown by liquid chromatography mass spectrometry that six major anthocyanidins (delphinidin, cyanidin, petunidin, pelargonidin, peonidin, and malvidin) attached with the sugar molecules (hexose and pentose) were found and the major anthocyanin was cyaniding-hexose-pentose. This study suggests that regarding the antioxidant capacity, these Australian Native plants have potential as functional food ingredients.
Optimal Sizing of Permanent Magnets with Non-Conventional Geometries in Synchronous Machines

Higher performance characteristics of PM machines can be achieved by adopting PMs with more complex geometries, instead of the conventional rectangular shapes. However, modeling and sizing procedure of the new geometry will be a great challenge. In this paper, an efficient and accurate methodology is proposed for optimal sizing of PMs with arbitrary basis geometries. The proposed framework aims the artificial neural network to create a surrogate model as an alternative to physics-based models. The model is proper for iterative search-based optimizations. Finally, a multiobjective optimization method is applied to define the final solution according to certain objectives. The algorithm is implemented on a typical interior PM synchronous machine with crescent-shaped PMs. The results that are verified by finite element model, confirm the accuracy of the methodology.
Analytical tool for the electromagnetic air gap pressure study and vibro-acoustic performance Permanent Magnet Synchronous Machine (PMSM).

The electromagnetic noise behaviour of a three phase Permanent Magnet Synchronous Machine (PMSM) is studies in this paper. A comparison between several electrical machines with Fractional Slot Concentrated Winding (FSCW) is produced. Firstly, an analytical model will be used and will allow the analysis of electromagnetic forces. In a second step, a vibro-acoustic and mechanical resonance characteristics study will be conducted to identify sources of electromagnetic noise in order to determine the configuration, number of stator slots (Zs) / poles (2p), most appropriate in terms of magnetic noise reduction. The objective is to minimize the low spatial order2 considering a new stator topology or a new stator form.