Miracle-dz/UniFAR-FTUs huggingface dataset:
The Transcriptomic Mechanism of a Novel Autolysis Induced by a Recombinant Antibacterial Peptide from Chicken Expressed in Pichia pastoris

Autolysis is a common physiological process in eukaryotic cells that is often prevented or applied, especially in yeast expression systems. In this study, an antimicrobial peptide from chicken (AMP) was recombinantly expressed in the Pichia pastoris expression system, which induced a series of cellular autolysis phenotypes after methanol treatment, such as the aggregated, lysed, irregular, and enlarged cell morphology, while the cells expressing a recombinant aflatoxin-detoxifizyme (ADTZ) were not autolyzed. A comparative transcriptomic analysis showed that the transcriptomic profiles of cells derived from the autolysis and non-autolysis groups were well discriminated, suggesting that the mechanisms of autolysis were at the transcriptional level. A further differential expression gene (DEG) analysis showed that the DEGs from the two groups were involved mainly in autophagy, the MAPK signaling pathway, transcriptional factors, the central carbon metabolism, anti-stress functions, and so on. In the autolysis group, the cell activity was significantly reduced with the MAPK signaling pathway, the central carbon metabolism was down-regulated, and components of the cytoplasm-to-vacuole targeting (CVT) and mitophagy pathways were up-regulated, suggesting that the autophagy involved in the trafficking of intracellular molecules in the vacuole and mitochondrion contributed to autolysis, which was regulated by transcriptional factors and signal pathways at the transcriptional level. This study provides a theoretical basis for genetic modifications to prevent or utilize cell autolysis in the recombinant protein expression system.
Magnetic fields of red giants and supergiants: a review of spectropolarimetric observations

Today, magnetic fields have been reliably detected in many classes of stars with convective envelopes, from young T~Tauri stars to supergiants. We present an overview of the results obtained with high-precision spectropolarimetric observations of selected single F0-M0 giants and supergiants. The measurements of the magnetic field in these objects were started in 1989 at the 2.6-meter ZTSh telescope of the Crimean Astrophysical Observatory. To date, weak magnetic fields have been recorded in nearly four dozen of slowly rotating red giants. The longitudinal component of the field in several cases reaches a few tens of gauss. A spectropolarimetric survey of red supergiants includes three dozen objects. The magnetic field was detected in dozen of them. For one of these targets, $\epsilon$~Gem, the magnetic field up to 10~G was reported. Because the magnetic field is frozen into the plasma, it is expected that the magnetic field of giants and supergiants should not exceed one gauss because stars have increased in size after the main sequence. Therefore, the main conclusion from the results of spectropolarimetric surveys of giants and supergiants with convective envelopes is that the most probable mechanism for the generation and amplification of the magnetic field in these objects is the dynamo action.
Adaptive Evolutionary Computation for Nonlinear Hammerstein Control Autoregressive Systems with Key Term Separation Principle

The knacks of evolutionary and swarm computing paradigms have been exploited to solve complex engineering and applied science problems, including parameter estimation for nonlinear systems. The population-based computational heuristics applied for parameter identification of nonlinear systems estimate the redundant parameters due to an overparameterization problem. The aim of this study was to exploit the key term separation (KTS) principle-based identification model with adaptive evolutionary computing to overcome the overparameterization issue. The parameter estimation of Hammerstein control autoregressive (HC-AR) systems was conducted through integration of the KTS idea with the global optimization efficacy of genetic algorithms (GAs). The proposed approach effectively estimated the actual parameters of the HC-AR system for noiseless as well as noisy scenarios. The simulation results verified the accuracy, convergence, and robustness of the proposed scheme. While consistent accuracy and reliability of the designed approach was validated through statistical assessments on multiple independent trials.
Postoperative Outcomes After Emergency Laparotomy in Nontrauma Settings: A Single-Center Experience

Introduction: Emergency laparotomy (EL) is a common operation that deals with a wide range of pathologies. Preoperative optimization is often lacking due to the urgent nature of the disease process with a reported mortality rate of up to 44%. This study examines the mortality of EL at an academic acute care surgery medical center. Methods: A retrospective analysis of nontrauma EL from January 2008 to December 2013 was conducted. Data included demographics, clinical features, preoperative laboratory studies, comorbidities, time to surgery, ICU admission, and 30-day mortality. Results: A total of 234 patients (123 males, 52.6%) were included in the study. EL was performed within four hours (immediate) of presentation in 93 (39.7%) patients, within 4-12 hours (early) in 53 (25.4%) patients, and within 12-24 hours (late) in 63 (30.1%) patients. Overall mortality was 16 (6.8%) at 30 days. Mortality was significantly higher with chronic obstructive pulmonary disease (p = 0.014), blood transfusion (p < 0.001), ICU admission (p < 0.001), ventilator days > four (p = 0.013), hyperlipidemia (p = 0.014), heart rate > 90 beats/minute (p = 0.003), temperature > 38°C or < 35°C (p = 0.013), and systolic blood pressure < 90 mmHg (p < 0.001). Conclusion: EL can be performed with lower mortality than previously reported. Specific predictors of mortality are identified and can be used for risk assessment.
Essential Oil Compositions and Antimicrobial Activities of Thymbra spicata L. var. spicata L., Lavandula X Intermedia Emeric ex Loisel., Satureja macrantha C. A. MEYER and Rosmarinus officinalis L.

Medicinal and aromatic plants have been widely using in folk medicine as antimicrobial, antiinflammatory and antinociceptive agents. The aim of this study was to determine essential oil composition and antimicrobial activity of T. spicata, L. X Intermedia, S. macrantha and R. officinalis. Essential oil components of these plants were obtained by water vapor distillation method using Neo-Clevenger apparatus. Essential oil components were determined by gas chromatography-mass spectroscopy (GC-MS). The main components of these plants are carvacrol (74.26 %) and γ-terpinene (10.28%) in T. spicata, 1,8cineol (32.48%), linalool (24.38%) and camphor (14.73%) in L. X Intermedia, p-cymene (56.70%), carvacrol (10.96 %) in S. macrantha and camphor (18.26 %), α-pinene (15.51%), 1,8-cineole (11.86%) and borneol (10.39%) in R. officinalis were determined. T. spicata and S. macrantha showed strong effects against three microorganisms. L. X Intermedia and R. officinalis showed strong activity against Candida albicans, while they had moderate effects against Staphylococcus aureus, Escherichia coli.
Yeast goes viral: probing SARS-CoV-2 biology using S. cerevisiae

The budding yeast Saccharomyces cerevisiae has long been an outstanding platform for understanding the biology of eukaryotic cells. Robust genetics, cell biology, molecular biology, and biochemistry complement deep and detailed genome annotation, a multitude of genome-scale strain collections for functional genomics, and substantial gene conservation with Metazoa to comprise a powerful model for modern biological research. Recently, the yeast model has demonstrated its utility in a perhaps unexpected area, that of eukaryotic virology. Here we discuss three innovative applications of the yeast model system to reveal functions and investigate variants of proteins encoded by the SARS-CoV-2 virus.
A new genus name for pygmy lorises, Xanthonycticebus gen. nov. (Mammalia, primates)

Lorisiformes are nocturnal primates from Africa and Asia with four genera, with two (Arctocebus and Loris), three (Perodicticus) and nine (Nycticebus) recognised species. Their cryptic lifestyle and lack of study have resulted in an underappreciation of the variation at the species and genus level. There are marked differences between the pygmy slow loris Nycticebus pygmaeus and the other Nycticebus species and, in the past, several authors have suggested that these may warrant recognition at the generic level. We here combine morphological, behavioural, karyotypical and genetic data to show that these contrasts are, indeed, significantly large and consistent. We propose Xanthonycticebus gen. nov. as a new genus name for the pygmy slow lorises and suggest a common name of pygmy lorises. Based on analysis of complete mitochondrial DNA sequences, we calculate the divergence of pygmy from slow lorises at 9.9–10.0%. The median date, calculated for the divergence between Xanthonycticebus and Nycticebus, is 10.5 Mya (range 4.9–21.0 Mya). Xanthonycticebus differs from Nycticebus by showing sympatry with other slow loris species, by habitually giving birth to twins, by showing seasonal body mass and whole body coat colour changes (absent in other species living at similar latitudes) and a multi-male, multi-female social system. Pygmy lorises are easily recognisable by the absence of hair on their ears and more protruding premaxilla. Xanthonycticebus is threatened by habitat loss and illegal trade despite legal protection across their range and all slow lorises are listed on appendix 1 of CITES. The suggested nomenclatural changes should not affect their legal status.
Effects of a Four-Week Isometric Exercise Training on Blood Pressure of Hypertensive Stroke Survivors in a Tertiary Health Institution

Background: Little is known about the potency of isometric exercise for blood pressure control among hypertensive stroke survivors (HSS). Meanwhile, the isometric exercise regimen stands to be a preferable intervention for at-risk subjects even at acute phases as it could be carried out at a resting position compared to aerobic and resistance exercise regimens. Objective: This study investigated the acute effect of isometric exercise training protocol on blood pressure of hypertensive stroke survivors in the University of Benin Teaching Hospital, Benin city. Methods: This study adopted the experimental research design. The sample size of 12-hypertensive stroke survivors from the neurology outpatient clinic of the University of Benin Teaching Hospital was randomly selected from amongst the hypertensive stroke survivors who met the inclusion criteria. The participants were further randomly allotted to the experimental and control groups. The instruments employed include several measuring and timing equipment. The trial proceeded for four weeks during which a combination of unilateral isometric handgrip and unilateral isometric quadriceps exercise training was administered on the experimental group in two sessions per week. Results: Findings revealed there was no significant difference in the effect of isometric exercise training on systolic blood pressure but there was a significant difference in diastolic blood pressure parameters taken from both the right and left sides of the brachial arteries. Conclusion: The acute responses of this study support the clinical significance of isometric exercise training as a time-efficient, valuable new therapeutic adjunct, and effective training modality to reduce blood pressure and thereby assist in regulating and preventing a recurrent stroke in hypertensive stroke survivors. To confirm this, an expanded study in terms of duration was suggested to investigate the adaptation of this study.
Design of 4-direction MIMO Vivaldi antenna system for vehicles communication in 5G applications

A MIMO antenna system that consists of four-element Vivaldi antenna for V2V communication is presented. The proposed design is realized on a substrate material of “Rogers 5880” with , , and a substrate thickness equals . The antenna is designed to operate at a center frequency of . The designed antenna achieves a wide bandwidth of around the center frequency. The radiation pattern of the proposed structure covers all the directions (a full coverage area) with high gain. An overall realized gain of is achieved at the intended center frequency. The proposed antenna is designed and simulated using the Computer Simulation Technology MicroWave Studio software (CSTMWS). It is also fabricated using photolithography techniques and measured using an R&S vector network analyzer. Good agreement is obtained between both the CSTMWS and the measured results.
Statistical engineering approach to improve the realism of computer-simulated experiments with aircraft trajectory clustering

ABSTRACT This article presents a statistical engineering approach for clustering aircraft trajectories. The clustering methodology was developed to address the need to incorporate more realistic trajectories in fast-time computer simulations used to evaluate an aircraft spacing algorithm. The methodology is a combination of Dynamic Time Warping and k-Means clustering, and can be viewed as one of many possible solutions to the immediate problem. The implementation of this statistical engineering approach is also repeatable, scalable, and extendable to the investigation of other air traffic management technologies. Development of the clustering methodology is presented in addition to an application and description of results.
Construction of a Free Large Part-of-Speech Annotated Corpus in French (Construction d’un large corpus écrit libre annoté morpho-syntaxiquement en français) [in French]

Construction of a Free Large Part-of-Speech Annotated Corpus in French This paper studies the possibility of creating a new part-of-speech annotated corpus in French from an existing one. The objectives are to propose an exit from the restrictive licence of the source corpus and to obtain a perpetual modernisation of texts. Results show that it is possible to train a state-of-the-art POS-tagger from an automatically tagged corpus if this one is large enough. MOTS-CLES:corpus arbore, construction de corpus, etiquetage morpho-syntaxique.
Involvement of NEAT1/PINK1-mediated mitophagy in chronic obstructive pulmonary disease induced by cigarette smoke or PM2.5

Background This study sought to explore the underlying mechanism of long non-coding ribonucleic acid nuclear enriched abundant transcript 1 (NEAT1) and PTEN-induced kinase 1 (PINK1)-mediated mitophagy in chronic obstructive pulmonary disease (COPD) induced by cigarette smoke (CS) or fine particular matter (PM2.5). Methods In total, 30 male Wistar Rats were divided into the following 3 groups: (I) the COPD group exposed to CS (CSM); (II) the COPD group exposed to PM2.5 (PMM); and (III) the control (Ctrl) group. Pulmonary function, the enzyme-linked immunoassay analysis results, the histopathology results, and the ultrastructures of the lung tissues were examined in the 3 groups, and NEAT1 expression levels and the mitophagy-related protein PINK1, Parkin, LC3B, and p62 levels were assessed by quantitative reverse transcription PCR (RT-qPCR) and Western blotting. The A549 cells were transfected with small interfering ribonucleic acid (siRNA) targeting NEAT1, and subsequently stimulated with CS extract (CSE) and PM2.5 suspension (PMS). Mitochondrial dysfunction and enhanced mitophagy were observed, and the expression of the NEAT1/PINK1 pathway was assessed by RT-qPCR and Western blotting. Results Both the CSM and PMM groups had a lower tidal volume (VT), minute ventilation (MV), and a higher respiratory rate (f) than the Ctrl group. The interleukin (IL)-6, IL-8, and tumor necrosis factor–alpha levels in the serum and bronchoalveolar lavage fluid of the CSM and PMM groups were significantly increased. The histological examination results revealed airway remodeling, the formation of pulmonary bullae, and emphysema in the CSM and PMM groups. Subsequently, the ultrastructures of the lung tissues in the CSM and PMM groups showed mitochondrial swelling and autophagosomes. Additionally, NEAT1 expression, the level of the mitophagy-related protein PINK1, Parkin, and the ratio of LC3-II/I increased synchronously. Further, NEAT1 siRNA blocked PINK1 expression, inhibited mitochondrial dysfunctions, and mitophagy activation in the A549 cells exposed to CSE or PMS. Conclusions Our results suggest that CS and PM2.5 exposure induce mitochondrial dysfunction, and the NEAT1/PINK1 pathway plays a critical role in the occurrence and development of COPD by regulating mitophagy.
The use of digital gestures for a safe driving

Digital technologies, sensors, connections capabilities, infotainment devices are literally invading the car interiors and are making users envisioning a sort of new seamless driving modality. Today, instead, from the design research point of view the crucial point is not the addition of other innovative functions inside a car, already set in the complex mobility system, but the study of the human ability to interact and manage needs in connection with personal tools. The innovation lies in a rediscovery of natural gestures able to be operated with a very low cognitive workload in a context that can be distracting and often safety critical. In this way the current trend that plans to integrate more and more visual attention demanding tools such as touch screens into the dashboard, is transformed into a new driving experience through a filtered recovery mode of interaction. The aim is to study which is the natural interaction language, how it can be used to drive safely, sustaining the pleasure of driving. This perspective considers, of course, the reduction of information that can be visualized but the research analyses the opportunities that are provided by digital connections and relations in order to simply activate functions fitted for the ongoing situation, for the driver's needs, for the car itself. The results of different series of tests, during the research, bring out useful data to create correct interaction design concepts, personalization utilities and possibilities of continuous updating of durable systems as cars.
Potential for optimization of energy consumption and costs in saffron production in central Iran through data envelopment analysis and multi‐objective genetic algorithm

Technical management of agricultural units plays an important role in increasing the yield, energy efficiency, and decreasing the production costs. Based on that, the present study aimed to evaluate and optimize the technical and economic efficiency in Saffron farms in the 2019–20 cropping season in Iran. Required data were collected from 70 Saffron farms through interviews and questionnaires and were analyzed and compared using two optimization methods including data envelopment analysis (DEA), and multi‐objective genetic algorithm (MOGA). Based on the results related to the energy section, the total energy input was obtained as 43,578 MJ ha−1 before any optimization, while it was determined as 36,033 and 36,910 MJ ha−1 after optimization using DEA, and MOGA, respectively. Also DEA and MOGA methods improved the energy ratio index (ER) (0.002) by 50, and 159%, respectively. Results related to the economic section showed that the total production costs were mitigated from 1260 $ ha−1 to 863.5 and 1069 $ ha−1 after optimization by DEA, and MOGA, respectively. After optimization of revenue (using MOGA method), and total costs (using MOGA, and DEA), the benefit cost ratio index was improved from 1.43 to 2.09 (using DEA), and 3.3 (using MOGA). Consequently, MOGA optimization method showed better results compared to DEA in both energy and economic sections.
Yet Another Approach to Fatigue Crack Growth Simulation

The analysis of a material that is subjected to variable loads is a complex subject and generally treated separately by fatigue and fracture mechanics. We present an attempt to extend the validity of conventional fatigue approach (here strain-life) in the scope fracture. This was achieved by introducing a zero thickness cohesive contact element coupled with a damage parameter that was developed from material observations of strain controlled fatigue experiments. The presented simulation framework results in a predictable crack growth direction on a compact tension specimen, although further experimentation is needed to validate the proposed approach.
Carbon emission and its reduction: from the perspective of film capacitors in the energy system

Climate change, resource scarcity, and environmental pollution warn the world to accelerate its pace toward carbon neutrality. As an important source of carbon emissions, energy has received widespread attention. In order to further understand the impact of energy system on carbon emissions, it is necessary to study carbon emissions and its reduction from the perspective of energy system's key components. First, we marked the position where film capacitor makes an impact on energy system. Second, we calculated the demand for film capacitors to further understand its importance. Third, we described the carbon emissions caused by the film capacitor's production by calculating the carbon emissions generated during the production of film capacitor's constituent materials. Fourth, a case study of using film capacitors to replace aluminium electrolytic capacitors to allow more renewable energy entering energy system was conducted. The result shows that if a film capacitor replaces an aluminium electrolytic capacitor with the same capacitance (1uF) for wind power transmission and the missing part of the energy is supplemented by coal-fired power generation, CO2 emissions will be reduced by 1,628.77 kg per year. Finally, from the perspective of film capacitor's life cycle, suggestions for promoting carbon neutralization by film capacitors were given.
Analysis and Prediction of Microblog Hot Topics Propagation Based on Deep Learning

Sina Microblog, China’s most popular social media platform, has a massive amount of data and users. The prediction of microblog forwarding has become a hot research topic in the current academic circle. The majority of current microblog forwarding research relies on traditional models that only use certain data properties or statistical features akin to term frequency-inverse document frequency (TF-IDF) for training but fail to extract microblog semantic-level information. In light of the popularity of evolutionary analysis and forecasting your own research only on particular moment popularity or predict popularity, finally, we only analyzed the influence of different factors on the final popularity, without considering the various factors in the popularity of the role played by different evolutionary stages and the popularity of evolutionary problems such as insufficient understanding. This article proposes a three-dimensional feature model. Average, trend, and cycle were used to fit and predict the prevalence, as well as the prevalence prediction method based on deep learning. We analyzed the hot topic evolvement popularity and defined a 3D character model. Regarding average, trend, and cycle and based on 3D feature model to create time series model to fit hot subject popularity evolution and forecast the short-term popularity of hot topic evolution, comparing Spike M and SH model, this work puts forward the model fit and greater accuracy. From the analysis and quantification of influencing factors in the three key stages of epidemic evolution, outbreak, peak, and decline, a prediction model of the epidemic based on a deep neural network was proposed, the different effects of each influencing factor in the evolution process of the epidemic were analyzed in detail, and the active period of the epidemic was predicted. In comparison with the Spike M and SVR models, the proposed technique has a greater effect and performance in terms of predictability and timeliness.