Miracle-dz/UniFAR-FTUs huggingface dataset:
SNG Generation via Power to Gas Technology: Plant Design and Annual Performance Assessment

Power to gas (PtG) is an emerging technology that allows to overcome the issues due to the increasingly widespread use of intermittent renewable energy sources (IRES). Via water electrolysis, power surplus on the electric grid is converted into hydrogen or into synthetic natural gas (SNG) that can be directly injected in the natural gas network for long-term energy storage. The core units of the Power to synthetic natural gas (PtSNG) plant are the electrolyzer and the methanation reactors where the renewable electrolytic hydrogen is converted to synthetic natural gas by adding carbon dioxide. A technical issue of the PtSNG plant is the different dynamics of the electrolysis unit and the methanation unit. The use of a hydrogen storage system can help to decouple these two subsystems and to manage the methanation unit for assuring long operation time and reducing the number of shutdowns. The purpose of this paper is to evaluate the energy storage potential and the technical feasibility of the PtSNG concept to store intermittent renewable sources. Therefore, different plant sizes (1, 3, and 6 MW) have been defined and investigated by varying the ratio between the renewable electric energy sent to the plant and the total electric energy generated by the renewable energy source (RES) facility based on a 12 MW wind farm. The analysis has been carried out by developing a thermochemical and electrochemical model and a dynamic model. The first allows to predict the plant performance in steady state. The second allows to forecast the annual performance and the operation time of the plant by implementing the control strategy of the storage unit. The annual overall efficiencies are in the range of 42–44% low heating value (LHV basis). The plant load factor, i.e., the ratio between the annual chemical energy of the produced SNG and the plant capacity, results equal to 60.0%, 46.5%, and 35.4% for 1, 3, and 6 MW PtSNG sizes, respectively.
Studies on the application of different ANNs to predict permeate flux in rotating disk membrane modules: A case study with MATLAB™

Stirred rotating disk membrane modules (RDMM) have been found to provide maximum flux enhancement due to minimization of the concentration polarization layer by shear effect. But unfortunately rigorous theoretical modeling of RDMM has not been developed yet, which greatly affects the simulation and optimization of this device under applications in many fields. In this perspective, the work reported in this article was carried out to develop an efficient artificial neural network (ANN) capable of predicting permeate flux in case of RDMM. Different ANNs, like Feedforward, Elman, Hopfield and Radial Basis Network, were investigated to find the optimum network configuration and corresponding network parameters have been estimated. As a case study, the focus was given to ultrafiltration (UF) of casein whey, a complex protein mixture. For this purpose the UF of whey was carried out in RDMM at different pH and transmembrane pressures, with and without rotating the membrane. A detailed comparative study was made .
Development and validation of a novel fibre-optic respiratory rate sensor (FiRRS) integrated in oxygen delivery devices

Respiratory rate (RR) monitoring provides crucial information on the overall health condition of patients and a reliable, low cost RR monitor for normal hospital inpatient or home use would be of significant benefit. The proposed system measures light reflection from a Fibre Bragg Grating (FBG) located near, and the total reflection spectrum from a humidity sensing film deposited at, the tip of an optical fibre. Every breath causes a shift in the wavelength reflected from the FBG and intensity change in the overall reflection spectrum. The accuracy of different techniques is investigated in a two-part study with 15 healthy volunteers. In part 1, the participants’ respiration rate followed a handheld mobile application at 5, 12 and 30 breaths per minute with simultaneous measurement using the optical fibre system, thoracic impedance pneumography (TIP) and capnometry device (where possible). Two types of medical face masks and a nasal cannula with oxygen delivery rates were investigated. In part 2, participants wore an anaesthetic face mask and breathed at normal and low tidal volumes to evaluate whether low tidal volumes could be detected. The most accurate measurement of RR was through monitoring the Bragg wavelength shift (mean accuracy = 88.1%), followed by the intensity change at the Bragg wavelength (mean accuracy = 78.9%), capnometry (mean accuracy = 77.8%), area under the overall spectrum (mean accuracy = 65.4%) and TIP (mean accuracy = 43.1%). The Fibre-optic Respiratory Rate Sensor system (FiRRS) can differentiate between normal and low tidal volumes (p-value < 0.05) and demonstrated higher accuracy than capnometry measurement of end-tidal carbon dioxide in exhaled air. These latter two monitors measured RR more accurately than TIP. A comparable accuracy in the measurement of RR was obtained when the FiRRS was implemented in nasal cannula and face masks.
Electronic spectral shifts of aromatic molecule–rare‐gas heteroclusters

In this paper, a semiempirical theory for the spectral shifts of the electronic origin of the S0→S1 transition of (aromatic molecule)⋅(rare‐gas)n heteroclusters is advanced and applied. Neglecting the modifications of intermolecular overlap and exchange interactions upon electronic excitation, the dispersive contributions to the spectral shift are evaluated to second order, accounting for finite‐size structural features of the large molecule by the utilization of the multicenter monopole representation of the intermolecular interactions. The spectral shifts for nonpolar aromatic hydrocarbons in or on rare‐gas heteroclusters are represented in terms of differences between electrostatic interactions involving an electrostatic field (due to the molecular transition monopoles charge distribution) and an induced dipole (originating from the rare‐gas polarizability). The transition monopoles incorporated all the one‐ and two‐electron ππ* excitations of the aromatic molecule, which were represented by Huckel or .
Evaluation of propanediol and cobalamin metabolism in the intestinal colonization and systemic invasion of Salmonella Enteritidis in laying hens

Annually approximately 80.3 million cases of human foodborne diseases worldwide are caused by Salmonella, specially Salmonella Enteritidis which is one of the most prevalent serotypes isolated from human and non-human sources. Products containing raw eggs or even crosscontamination of vegetables by contaminated chicken meat during manipulation are the main sources of S. Enteritidis to consumers (Salmonella., 2018). In poultry, S. Enteritidis has been one of the most important serotypes responsible for avian paratyphoid. In young birds it is able to colonize the gut and establish systemic infection. On the other hand, infections provoked in mature birds are generally not severe, but birds become carriers and capable to vertically or horizontally transmit the microorganism for long periods (Gast et al., 2017).
An Exploration of the Neural Network of Lance-Adams Syndrome: a Case Report

Lance-Adams syndrome (LAS) is a rare neurological disorder that may occur after cardiopulmonary resuscitation. The LAS is usually caused by hypoxic changes. Neuroimaging studies show that the brain pathology of LAS patients is not uniform, and the pathophysiology of the myoclonus can vary from patient to patient. Our case study contributes to this etiological heterogeneity by neuroimaging and transcranial magnetic stimulation (TMS). In patients with rare brain conditions such as LAS, a combination of brain stimulation methods, such as TMS, and diffusion tensor imaging can provide insights into this condition's pathophysiology. These insights can facilitate the development of more effective therapies.
I2-RED: A Massive Update and Quality Control of the Italian Annual Extreme Rainfall Dataset

The collection and management of hydrological data in Italy has been dealt with at national level, initially, by the National Hydrological Service (SIMN), and at regional level in the last 40 years. This change has determined problems in the availability of complete and homogeneous data for the whole country. As of 2020, an updated and quality-controlled dataset of the historical annual maxima rainfall in Italy is still lacking. The Italian Rainfall Extreme Dataset (I-RED) has recently been created to allow studies to be performed with a homogeneous dataset at a national level. In this paper, the methodological approach adopted to build an improved and quality-controlled version of I-RED (in terms of both the rainfall depth values and the position of the rain gauges) is presented. The new database can be used as a more reliable research support for the frequency analysis of the rainfall extremes. This new I2-RED database contains rainfall annual maxima rainfall of 1, 3, 6, 12 and 24 h from 1916 until 2019, counts 5265 rain gauges and has been corroborated by a re-positioning and elevation-checking of 15% of the stations. A descriptive analysis of the maximum values of the stations, which provides an additional quality check and reveals different intriguing spatial features of Super-Extreme rainfall events, is also presented.
Automated Image Analysis Methodologies to Compute Bioink Printability

The lack of suitable bioinks in bioprinting is a major limitation in tissue engineering and regenerative medicine. The reasons are multifaceted but can primarily be attributed to the contradictory requirements for bioinks to demonstrate desirable bioactivity while exhibiting high printability. Herein, methods are proposed and tools are provided to automatically quantitate the performance of bioinks using image analysis methods and differential geometry. Several artifact structures are used including a crosshatch to evaluate filament fusion, five‐layer tube to evaluate stacked arc accuracy, overhang to test filament collapse, and a novel four‐angled pattern to evaluate turn accuracy. Automatic measurements are 95.8% accurate in delineating pores of a crosshatch pattern, 96.5%, 86.0%, 80.3%, and 80.5% accuracy for each angle of a four‐angled pattern, 98.9% and 97.9% accuracy for the external and internal radii of a five‐layer tube, and 90.6% and 99.0% accuracy for the height and width of a five‐layer tube. This automation reduces the time and effort required to analyze a structure and also provides a standardized set of tools to compare different bioinks.
The status of inorganic and organic phosphorus in some soils in relation to plant availability

Abstract Pigeonpea, groundnut, and upland rice are able to take up sparingly soluble phosphorus (P) in low fertility soils. We examined the P forms present in the upland soils in order to study the P uptake mechanisms of these plants. The Chang and Jackson (CJ) fractionation method is commonly applied for determining the P status in soils. In Japan, the Sekiya method has been developed for Andosols. Three acid soils were fractionated according to the two methods, and the contents of both organic and inorganic P in the calcium-, aluminum-, and iron-fractions were determined. In this experiment, a shift of extracted P into the next fraction during the fractionation procedure occurred in both methods. Similar results were obtained with both the CJ and Sekiya methods in a non-allophanic Andosol and a Yellow soil. However, the CJ method overestimated the content of both organic and inorganic P in the calcium-bound fraction, compared to the Sekiya method in the case of an allophanic Andosol. The fractionation u.
MPPT oscillations minimization in PV system by controlling non-linear dynamics in SEPIC DC-DC converter

Solar PV power generation has achieved rapid growth in developing countries which has many merits such as absence of noise, longer life, no pollution, less time for installation, and ease of grid interface. A maximum power point tracking circuit (MPPT) consists of DC-DC power electronics converters that are used to improve the energy attainment from solar PV array. This paper presents a detailed analysis to control of chaos, a non-linear dynamic in SEPIC DC-DC converter interfaced solar PV system, to minimize the oscillations near to MPP. In SEPIC DC-DC converter, the input inductor current is continuous and capable of sweeping the whole I-V curve of a PV module from open circuit voltage (Voc) to short circuit current (Isc) operating points. To trace the true maximum power point and to nullify the oscillations near to MPP, the yield output voltage needs to ensure period-1 operation.
Use of unmanned aerial vehicles (UAV) as an innovation in agriculture

Facing up with the effects of climate change, increasing human population, reduction of natural resources, and degradation of soils the agricultural sector has the challenge of meeting the world's demand for food. In this scenario, the interest of scientific communities for the use of Unmanned Aerial Vehicles (UAV) in the agricultural sector has increased in recent years. The aim of this article is to provide a global view on how scientific communities interact and identify gaps and opportunities in research of UAV in the agricultural sector. The study reviewed the scientific publications of the Web of Science from 2000 to 2018 using a data-driven approach. According to specific search terms, the most relevant publications have been downloaded from specialized database and they have been analyzed from the point of view of bibliographic data through the VOSviewer software. Examining the network graphic of citations to describe the interaction and processing the terms of the titles and abstracts with the data mining techniques, in order to identify current trends research and gaps in the literature were identified. Scientific community is working to design technological platforms to support agriculture actors for making data-based decision schemes, where computational algorithms and visualization techniques are applied. Key words: Agricultural innovation, technology applications, unmanned aerial vehicles (UAV), drones.
Exploring the Role of Regadenoson As an Ointment Dosage Form in Inducing Wound Healing in Mice

Background: Wound healing is a multi-phase and well-organized dynamic process to repair damaged tissue. Adenosine (A2A) receptor agonists were found to have a role in wound healing process by increasing collagen deposition and stimulating angiogenesis and re-epithelization. Aim: To investigate the healing effect of regadenoson ointment in experimentally induced wounds in mice. Methodology: Preparation of regadenoson ointment: Regadenoson ointment (0.25% and 0.5% w/w) was prepared by dispersing regadenoson in castor oil followed by the addition of petrolatum base (Vaseline®) to obtain the final ointment preparation. In vivo study: Sixty female albino mice were enrolled in this study where they divided into five groups (N=12/group). Group I: normal control. Group II: induced control which has received a petrolatum base only. Group III were treated topically with β-sitosterol ointment (0.25% w/w) as a positive control. Group IV and V were treated topically with regadenoson ointment (0.25% and 0.5% w/w) respectively. These products were applied once daily for 10 consecutive days. Results: Regadenoson ointment produced a highly significant reduction in wound size in comparison with petrolatum base (P≤0.001). In histological study, re-epithelization and angiogenesis scores of all treatment groups showed a significant increase in comparison with petrolatum base group (P≤0.05) but in collagen scores, the significant increase just occurred with β-sitosterol and the highest concentration of regadenoson 0.5% w/w in comparison with petrolatum base group (P≤0.05). In immunological study, regadenoson groups produced a significant increase in VEGF-A. Conclusion: According to the present findings, we can conclude that regadenoson ointment is more efficient than petrolatum base and comparable in efficacy to β-sitosterol ointment in accelerating wound healing.
Acalabrutinib‐related second primary malignancies and nonmelanoma skin cancers in patients with chronic lymphocytic leukaemia (CLL): A systematic review and meta‐analysis of randomised controlled trials (RCTs)

Acalabrutinib is a second generation Bruton's tyrosine kinase inhibitor and was recently approved in the treatment of chronic lymphocytic leukaemia. We undertook a systematic review and meta‐analysis of randomised controlled trials to determine the risks of acalabrutinib‐related second primary malignancies (SPM) and nonmelanoma skin cancers (NMSC). The incidence of SPM was 4.7% higher in the acalabrutinib arm compared to control arm with risk ratio (RR) of 1.76 (5.32 vs 3.2 per 100 person‐years). Notably, NMSC was the most common SPM, and the incidence was 2.56 per 100 person‐years in the acalabrutinib group versus 1.12 per 100 person‐years in the control group (RR 2.43). Long‐term follow‐up and future studies are necessary to define the actual relationship and their risk factors.
On apparent barrier-free reactions

Rate coefficients of bi-molecular chemical reactions are fundamental for kinetic models. The rate coefficient dependence on temperature is commonly extracted from the analyses of the reaction minimum energy path. However, a full dimension study of the same reaction may suggest a different asymptotic low-temperature limit in the rate constant than the obtained from the energetic profile.
Office types and workers' cognitive vs affective evaluations from a noise perspective

PurposeThis study aims to examine the links between office types (cellular, shared-room, small and medium-sized open-plan) and employees' subjective well-being regarding cognitive and affective evaluations and the role perceived noise levels at work has on the aforementioned associations.Design/methodology/approachA survey with measures of office types, perceived noise levels at work and the investigated facets of subjective well-being (cognitive vs affective) was distributed to employees working as real estate agents in Sweden. In total, 271 useable surveys were returned and were analyzed using analyses of variance (ANOVAs) and a regression-based model mirroring a test of moderated mediation.FindingsA significant difference was found between office types on the well-being dimension related to cognitive, but not affective, evaluations. Employees working in cellular and shared-room offices reported significantly higher ratings on this dimension than employees working in open-plan offices, and employees in medium-sized open-plan offices reported significantly lower cognitive evaluation scores than employees working in all other office types. This pattern of results was mediated by perceived noise levels at work, with employees in open-plan (vs cellular and shared-room) offices reporting less satisfactory noise perceptions and, in turn, lower well-being scores, especially regarding the cognitive (vs affective) dimension.Originality/valueThis is one of the first studies to compare the relative impact of office types on both cognitive and affective well-being dimensions while simultaneously testing and providing empirical support for the presumed process explaining the link between such aspects.
An investigation of glutamate quantification with PRESS and MEGA‐PRESS

Glutamate is an important neurotransmitter. Although many studies have measured glutamate concentration in vivo using magnetic resonance spectroscopy (MRS), researchers have not reached a consensus on the accuracy of glutamate quantification at the field strength of 3 T. Besides, there is not an optimal MRS protocol for glutamate measurement. In this work, both simulation and phantom scans indicate that glutamate can be estimated with reasonable accuracy (<10% error on average) using the standard Point‐RESolved Spectroscopy (PRESS) technique with TE 30 ms; glutamine, however, is likely underestimated, which is also suggested by results from human scans using the same protocol. The phantom results show an underestimation of glutamate and glutamine for PRESS with long TE and MEGA‐PRESS off‐resonance spectra. Despite the underestimation, there is a high correlation between the measured values and the true values (r > 0.8). Our results suggest that the quantification of glutamate and glutamine is reliable but can be off by a scaling factor, depending on the imaging technique. The outputs from all three PRESS sequences (TE = 30, 68 and 80 ms) are also highly correlated with each other (r > 0.7) and moderately correlated (r > 0.5) with the results from the MEGA‐PRESS difference spectra with moderate to good shimming (linewidth < 16 Hz).
Approximate LSTM Computing for Energy-Efficient Speech Recognition

This paper presents an approximate computing method of long short-term memory (LSTM) operations for energy-efficient end-to-end speech recognition. We newly introduce the concept of similarity score, which can measure how much the inputs of two adjacent LSTM cells are similar to each other. Then, we disable the highly-similar LSTM operations and directly transfer the prior results for reducing the computational costs of speech recognition. The pseudo-LSTM operation is additionally defined for providing the approximate computation with reduced processing resolution, which can further relax the processing overheads without degrading the accuracy. In order to verify the proposed idea, in addition, we design an approximate LSTM accelerator in 65 nm CMOS process. The proposed accelerator newly utilizes a number of approximate processing elements (PEs) to support the proposed skipped-LSTM and pseudo-LSTM operations without degrading the energy efficiency. Moreover, sparsity-aware scheduling is introduced by introducing the small-sized on-chip SRAM buffer. As a result, the proposed work provides an energy-efficient but still accurate speech recognition system, which consumes 2.19 times less energy than the baseline architecture.
Phylogenetic response of naraoiid arthropods to early–middle Cambrian environmental change

The Cambrian Period, primarily known for animal life diversifying, experienced global extinctions. Pulses of extinction in Cambrian Series 2 are exemplified by the disappearance of archaeocyath sponges and olenelline and redlichiid trilobites. However, the effect of such extinctions on outer shelf organisms, as typify Burgess Shale‐type (BST) deposits, remains relatively unknown. The phylogeny of naraoiid arthropods, represented in BST deposits globally, has consequently been reconstructed from either side of the Series 2 – Miaolingian extinction event to evaluate the response of offshore marine organisms to Cambrian environmental perturbation. As soft anatomy is known for only a subset of naraoiid species, exoskeletal morphology has proven important. Misszhouia and Naraoia (Naraoia) are distinguished morphometrically by posterior shield length/width and anterior shield length/posterior shield length. Morphometry has also been used to strengthen the identification of some cryptic naraoiid species and revise stratigraphic ranges. A revised naraoiid phylogeny reveals Misszhouia as a monophyletic subgenus, the former genus Pseudonaraoia nests within Naraoia and is placed in synonymy, and the systematic position and status of the Subfamily Liwiinae are sensitive to character weighting. Ten species of Naraoiidae range across the Series 2 – Miaolingian boundary, all naraoiid lineages originating during the main BST window. The persistence of outer shelf naraoiids throughout the Series 2 extinctions suggests that deeper offshore marine environments were resilient to extinction during periods of environmental stress. This study provides novel empirical support for the asylum of BST communities, which may contribute to the taxonomic longevity and widespread geographic distribution of taxa in these biotas.