Miracle-dz/UniFAR-FTUs huggingface dataset:
Parametric analysis of a hybrid power system for rotorcraft emergency landing sequence

The use of a hybrid powertrain for a conventional single main rotor helicopter is investigated, with the objective of assessing its feasibility and its potential impact on improving safety, especially for single-engine rotorcraft. The study is focused on the characteristics of the powertrain and required battery pack. It is based on a simple analysis of power required in forward flight and the estimate of the total energy required for a powered landing manoeuvre after thermal engine failure. Current technologies are considered as well as expected improvements, especially as far as energy density and power density of the battery are concerned. The latter analysis is based on current trends for battery and motors technologies, in order to determine the technological breakthrough limit.
Workplace Support for Mental Health Workers Who Are Parents: A Feasibility Study

Background Mental health workers are subject to high levels of occupational stress which is associated with poorer health and wellbeing and impaired patient outcomes. For individuals operating in high stress environments, reducing challenge at home, in particular around parenting, has been found to generalize into improvements in the professional domain. The present study sought to investigate the effectiveness and feasibility of brief targeted workplace intervention to support workers in terms of their parental role. Design/Methodology An uncontrolled evaluation of a series of three-session parenting-focused courses delivered to employees of a large Mental Health Trust. A pre-post-follow-up design was used to investigate effects on outcomes including parenting practice and experience, wellbeing, stress, and occupational self-efficacy. Intervention feasibility and acceptably was also evaluated. Findings Data from 15 participants who completed measures pre-post indicates the courses were associated with improved parenting practice and experience at a p < 0.005 level. Improvements were reported at 6-month follow up. Participant satisfaction and course acceptability was highly rated by 100% of participants.
Apple Pomace as Valuable Food Ingredient for Enhancing Nutritional and Antioxidant Properties of Italian Salami

Nowadays, food fortification with bioactive compounds deriving from agri-food waste is of great interest all over the world. In this work, apple pomace (AP), the most abundant by-product of apple juice manufacturing, was characterised by chemical, chromatographic and spectrophotometric analyses. AP showed valuable antioxidant activity, due to the presence of phenolic compounds (8.56 mg gallic acid equivalents/g), including quercetin-3-O-galactoside, quercetin-3-O-arabinofuranoside, and phloridzin. Dried AP, at 7% and 14%, was added to pork meat to produce Italian salami, then subjected to 25 days of ripening. Physicochemical, colorimetric and microbiological analyses were carried out at days 0, 5, 11, 19 and 25, while nutritional and sensory evaluations were performed at the end of the ripening. The overall acceptability was slightly higher for 7% AP compared to 14% AP sample, and generally the replacement of a percentage of meat with apple pomace allowed the production of salami with sensory properties comparable to those obtained with classic recipes. The improved fibre and phenol content, together with the lower fat and calories, represent the most interesting characteristics of fortified salami. The results confirm that the addition of AP represents a valid approach to adding healthy compounds to salami.
TWO-YEAR MORTALITY PROFILE IN ELDERLY WITH FRAILTY : Observational Descriptive Study in Elderly Health Community in Surabaya, Indonesia

Indonesia in the next few years will face problems related to the increasing population of the elderly. Frailty becomes one of the most common health problems in the elderly. The prevalence of frailty in the Indonesian elderly range from 17% to 36.5%. Frailty raises the risk of death and health care costs, as well as functional disability, hospitalization, and fall risk. This was an observational descriptive study conducted in the elderly health community in Surabaya. This study aimed to determine the proportion and describe the associated factors of 2-year mortality in the elderly with frailty, so it can help determine appropriate preventive and intervention ways to prevent mortality and increase the quality of life in the elderly. There were 113 subjects. Most of the subjects had elementary school grade, married, had an income of less than 1.5 million rupiah/month, financially dependent, regularly exercised, did not use walking aids, and had no history of falls in the last year. The mortality rate within 2 years was 8.8% with the characteristics of older than 70 years old, had sarcopenia, decreased functional status, were at risk of malnutrition, CIRS score > 5, moderate cognitive impairment, probably depression, and had components of exhaustion, slowness, and low physical activity based on the CHS Frailty
UFR2709, an Antagonist of Nicotinic Acetylcholine Receptors, Delays the Acquisition and Reduces Long-Term Ethanol Intake in Alcohol-Preferring UChB Bibulous Rats

Alcoholism is a worldwide public health problem with high economic cost and which affects health and social behavior. It is estimated that alcoholism kills 3 million people globally, while in Chile it is responsible for around 9 thousand deaths per year. Nicotinic acetylcholine receptors (nAChRs) are ligand-gated ion channels expressed in the central nervous system, and they were suggested to modulate the ethanol mechanism involved in abuse and dependence. Previous work demonstrated a short-term treatment with UFR2709, a nAChRs antagonist, which reduced ethanol intake using a two-bottle free-choice paradigm in University of Chile bibulous (UChB) rats. Here, we present evidence of the UFR2709 efficacy in reducing the acquisition and long-term ethanol consumption. Our results show that UFR2709 (2.5 mg/kg i.p.) reduces the seek behavior and ethanol intake, even when the drug administration was stopped, and induced a reduction in the overall ethanol intake by around 55%. Using naïve UChB bibulous rats, we demonstrate that UFR2709 could delay and reduce the genetically adaptive impulse to seek and drink ethanol and prevent its excessive intake.
The effect of dietary energy and nutrients density on performance, egg components, egg quality, and profits of Hy-Line W-36 during the peak stage of first laying cycle

Abstract An experiment was conducted to evaluate the influence of dietary energy and nutrient density (END) on performance and egg quality in laying hens during the peak stage of the first laying cycle. A total of 360, 26-week-old Hy-Line W-36 laying hens were randomly allocated to a completely randomised design with five treatments, graded levels of dietary END (92–108%), with six replicates and 12 birds each. The diet with 100% END was formulated to meet the requirements recommended in the 2016 strain Management Guide. Experiment lasted for 12 weeks. Laying hens up to 33 weeks of age did not able to adjust feed intake (FI) with diet dilution. By increasing dietary END, hen-day egg production (EP), egg mass (EM), and feed conversion ratio (FCR) linearly improved. As birds got older, their FI capacity improved and birds regulated own FI with dietary END. The effect of dietary END was not significant on egg quality traits. During the 26–29 weeks of age, based on broken‐line regression models, the best balance of egg production performance traits and dietary END were found at 102, 104, and 105% for EW, EP & EM, and FCR, respectively. These values were estimated 5% lower for 30–33 week of age period. It is concluded, laying hens up to 33 weeks of age cannot adjust their FI with diet dilution, the gastrointestinal tract capacity is the main factor affects FI. Hence, a diet with higher energy and nutrients concentration require to achieve the desired production performance. Highlight During the peaking period of laying cycle: Feed consumption increase slowly. Monitor feed consumption and adjust diet energy and nutrients level to actual feed intake.
A Low-Power Wide-Load-Range Output-Capacitorless Low-Dropout Voltage Regulator With Indirect-Direct Nested Miller Compensation

This paper presents the design of an output-capacitorless low-dropout voltage regulator (OCL-LDO) capable of driving a wide range of load capacitance and supplying a wide range of load current while maintaining excellent load and line regulations, thanks to the combined indirect-direct nested Miller compensation which ensures stability and maintains a high loop gain over the whole range of load condition. Fabricated in a 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process and consuming 14 <inline-formula> <tex-math notation="LaTeX">$\mu \text{A}$ </tex-math></inline-formula> of quiescent current, the OCL-LDO, while supplying the load current between 0 mA to 100 mA, is capable of driving the load capacitance in the range of 0–1 nF; with a minimum load current of 1 mA, however, the OCL-LDO can drive up to 10 nF of load capacitance. Over such wide load-current and load-capacitance ranges, the OCL-LDO achieves DC load and line regulations of 0.025 mV/mA and 0.5 mV/V, respectively.
NUF2 Expression Promotes Lung Adenocarcinoma Progression and Is Associated With Poor Prognosis

Aberrant expression of the gene encoding the Ndc80 kinetochore complex component (NUF2) reportedly contributes to the progression of several human cancers. However, the functional roles of NUF2 and their underlying mechanisms in lung adenocarcinoma (LUAD) are largely unknown. The current study aimed to investigate the role of NUF2 in LUAD tumorigenesis. Here, TCGA, ONCOMINE, the Human Protein Atlas, UALCAN, and the results of our cohort were used to analyze the expression of NUF2 in LUAD. A Kaplan–Meier analysis and univariate and multivariate Cox regression analyses were performed to estimate the prognostic values of NUF2 expression in the Cancer Genome Atlas cohort. We studied the effects of NUF2 expression on proliferation, migration, invasion, and tumor growth using LUAD cell lines. Gene set enrichment analysis (GSEA) was used to analyze the pathways and biological function enrichment of NUF2 in LUAD. The ssGSEA database was used to analyze the relationship between NUF2 expression and immune cell infiltration in LUAD. Results revealed elevated expression of NUF2 in LUAD specimens. Patients overexpressing NUF2 had poor prognoses relative to those with low NUF2 expression. Knockdown of NUF2 suppressed the proliferation, migration, invasion, epithelial-mesenchymal transition, and colony formation of LUAD cells. Moreover, NUF2 knockdown induced cell cycle arrest at the G0/G1 phase. Gene Ontology and GSEA analyses suggested that NUF2 may be involved in immunity, proliferation, and apoptosis-related pathways. NUF2 overexpression was positively correlated with differential immune cell infiltration. In conclusion, NUF2 expression was associated with the clinical phenotype of LUAD and hence has potential implications in LUAD treatment.
Automatic Detection of Image-Based Features for Immunosuppressive Therapy Response Prediction in Oral Lichen Planus

Oral lichen planus (OLP) is a chronic inflammatory disease, and the common management focuses on controlling inflammation with immunosuppressive therapy. While the response to the immunosuppressive therapy is heterogeneous, exploring the mechanism and prediction of the response gain greater importance. Here, we developed a workflow for prediction of immunosuppressive therapy response prediction in OLP, which could automatically acquire image-based features. First, 38 features were acquired from 208 OLP pathological images, and 6 features were subsequently obtained which had a significant impact on the effect of OLP immunosuppressive therapy. By observing microscopic structure and integrated with the corresponding transcriptome, the biological implications of the 6 features were uncovered. Though the pathway enrichment analysis, three image-based features which advantageous to therapy indicated the different lymphocytes infiltration, and the other three image-based features which bad for therapy respectively indicated the nicotinamide adenine dinucleotide (NADH) metabolic pathway, response to potassium ion pathway and adenosine monophosphate (AMP) activated protein kinase pathway. In addition, prediction models for the response to immunosuppressive therapy, were constructed with above image-based features. The best performance prediction model built by logistic regression showed an accuracy of 90% and the area under the receiver operating characteristic curve (AUROC) reached 0.947. This study provided a novel approach to automatically obtain biological meaningful image-based features from unannotated pathological images, which could indicate the immunosuppressive therapy in OLP. Besides, the novel and accurate prediction model may be useful for the OLP clinical management.
Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit

The collaboration development between the power supply, solar power, and storage batteries is a formidable commission in the smart solar microgrid. The efficient power management integrated into a smart solar microgrid is required to address these problems. The deep learning predictive tools are utilized to forecast the maximum building’s three-phase load power in the short term. In this project, historical data from the solar module, battery module, grid data, and climate data are collected by integrated advanced metering infrastructure in a smart solar microgrid in Taiwan. These historical data are utilized in predicting the building’s three-phase load power in the smart solar microgrid. This project proposed the hybrid model in the short-term three-phase loads forecasting based on convolution neural network bidirectional gated recurrent unit (CNN-Bi-GRU). The CNN-Bi-GRU utilizes the continuous-time sliding window, which is extracted features and reshaped into vectors by CNN layers. The hyperparameter optimization is utilized to construct the highest performance structure of the CNN-Bi-GRU model. The CNN-Bi-GRU performance is compared and evaluated with other state-of-arts models, which are the recurrent neural network (RNN), LSTM, gated recurrent unit (GRU), and bidirectional LSTM (Bi-LSTM), and Bi-GRU models. The experiment results prove that the forecasting accuracy could be effectively improved by a hybrid CNN-Bi-GRU model with an appropriate window size of sequential historical data. According to research knowledge, this is the first work to predict the building’s three-phase load power using multiple source data from advanced metering infrastructures (AMI) and deep learning CNN-Bi-GRU in the smart solar microgrid. The CNN-Bi-GRU model is successfully integrated into the efficient power management, which maintains the adequate battery storage level, solar power, and grid power balance under different weather conditions and working requirements of the building’s three-phase load power.
Zinc deficiency in cucumber plants can be alleviated by fullerenol

Abstract Zinc (Zn) deficiency is one of the most limiting factors in plant growth and productivity worldwide. Among carbon-based nanomaterials, water-soluble fullerene derivates offer unique opportunities to increase crop productivity and protection. In this work, we evaluated the stress mitigation effects of fullerenol in cucumber plants (Cucumis sativus L.) submitted to Zn deficiency conditions. Cucumber plants were grown hydroponically, either with (+Zn) or without (−Zn) a Zn supply, with (+F) or without (−F) a fullerenol supply. Fullerenol was added in a nutrient solution either before the beginning of Zn deficiency (plant priming) or at its start. A nutrient imbalance, leaf yellowing and spotting, a reduced electron transport rate (ETR), enhanced oxidative damage by excessive production of malondialdehyde (MDA) and retarded plant growth were found in Zn-deficient plants. After fullerenol treatment, some symptoms of Zn deficiency were alleviated. Overall, fullerenol decreased leaf MDA and spotting (visual observations). When fullerenol was added in a Zn-free solution, plants exhibited enhanced leaf chlorophyll or shoot dry biomass compared with non-treated plants. Also, an increase in xylem sap or young leaf Zn was observed in fullerenol-treated plants under Zn deficiency. With the exception of the MDA responses and spotting, these effects appear to occur in a dose-dependent manner. In contrast, the Zn-fed plants remained phenotypically unaffected by fullerenol. Thus, fullerenol probably alleviated Zn deficiency due to an improvement in Zn remobilization and the antioxidant capacity of the plants, in turn decreasing lipid peroxidation.
Image-based localisation using shared-information double stream hourglass networks

A shared-information double stream hourglass network architecture for camera localisation is proposed. The contributions are two folds, first, the ordinary single stream decoder is replaced by double streams for regressing location and orientation of camera separately, and the information is shared at the end. Secondly, uncertainty estimation of loss to balance the error of location and orientation is used. The experimental results show that the proposed method achieves better performance compared with state-of-the-art methods.
Design of SARS-CoV-2 Main Protease Inhibitors Using Artificial Intelligence and Molecular Dynamic Simulations

Drug design is a time-consuming and cumbersome process due to the vast search space of drug-like molecules and the difficulty of investigating atomic and electronic interactions. The present paper proposes a computational drug design workflow that combines artificial intelligence (AI) methods, i.e., an evolutionary algorithm and artificial neural network model, and molecular dynamics (MD) simulations to design and evaluate potential drug candidates. For the purpose of illustration, the proposed workflow was applied to design drug candidates against the main protease of severe acute respiratory syndrome coronavirus 2. From the ∼140,000 molecules designed using AI methods, MD analysis identified two molecules as potential drug candidates.
Curriculum-based measurement of basic arithmetic competence: Do different booklets represent the same ability?

An important prerequisite of progress monitoring as one source to support instructional decision-making is the existence of equivalent booklets. This study assesses this prerequisite with respect to a German elementary school math curriculum-based measurement instrument (LVD-M 2-4; Strathmann & Klauer, 2012). Every second week of a 19-weeks period, n = 108 third and n = 109 fourth graders (regular instruction) completed one of ten parallel booklets, each containing 24 arithmetic tasks. Analyses with (generalized) linear mixed models showed that in both grades the between-booklet variance was so small in relation to the between student variance that it was practically irrelevant. This corresponds to the key assumption of the binomial model that equivalent scores from different booklets reflect the same ability. While item difficulty varied within some of the tasks, the effect was insubstantial in comparison with the variance between students. These findings were replicated in two intervention samples of an RTI study. The parallel booklets can therefore be regarded as equivalent for typical applied purposes. Implications of these findings for curriculum-based measurement and booklet design are discussed.
Neuromechanics of explosive performance for movement control and joint stabilisation

The broad aim of this thesis was to progress understanding of the neuromechanics of joint stability and injury mechanisms by investigating the interactions between neuromuscular function and balance perturbations as well as the influence of sex and fatigue on these variables. Knee extensor (KE) and plantar flexor (PF) isometric strength parameters (maximum voluntary torque (MVT), explosive voluntary torque (EVT)) were related in young healthy adults. EVT of KE and PF were correlated at 4/5 time points during the rising torque-time curve for all absolute (r = 0.488-0.755) and relative (to body mass (BM) (r = 0.517-0.669) and MVT (r = 0.353-0.480)) expressions of EVT. These results suggest that KE and PF function is related for both maximum and explosive torque. Males were stronger for KE (+89%) and PF (+55%) than females. Males also displayed greater EVT at all time points in KE (+57-109%) and at 50-150 ms in PF (+33-52%). When MVT and EVT were normalised to BM, males continued to be stronger at all time points in KE (+23-60%) and from 100-150 ms (18-20%) in PF. No sex differences were found when EVT was normalised to MVT. Furthermore, sex differences were discovered in muscle morphology. Females had a smaller knee flexor (KF):KE size ratio, a proportionately small sartorius (SA) and gracilis (GR) and a proportionately larger vastus lateralis (VL), potentially predisposing females to greater risk of ACL injury. Females had a larger biceps femoris long head (BFlh) as a proportion of the KF than males, which may contribute to the higher risk of hamstring strain injury (HSI) in males. Regarding explosive performance and perturbation response, explosive PF torque had a weak to moderate correlation with COM displacement (COMD) from 400-500 ms (r = -0.346 to -0.508) and COM velocity (COMV) from 300-500 ms (r = -0.349 to -0.416), with weaker correlations between explosive KE torque and COMV at 400 ms (r = -0.381 to -0.411) but not with COMD. These findings suggest that greater explosive torque results in better control of the COM in response to unexpected perturbations. The effects of football simulated fatigue on these factors resulted in reduced maximal KF and KE torque. However, football simulated fatigue was not found to reduce EVT of either muscle group, or explosive H/Q ratio. Football simulated fatigue resulted in impaired balance response to unexpected perturbation in the posterior but not the anterior direction.
Detection of Novel Biallelic Causative Variants in COL7A1 Gene by Whole-Exome Sequencing, Resulting in Congenital Recessive Dystrophic Epidermolysis Bullosa in Three Unrelated Families

Background: Dystrophic Epidermolysis bullosa (DEB) is a rare, severe subtype of epidermolysis bullosa (EB), characterized by blisters and miliary rashes of the skin. Dystrophic EB (DEB) includes variants inherited both in an autosomal-dominant or autosomal-recessive manner. Recessive dystrophic EB (RDEB) is divided into many subtypes and prevails as a result of biallelic genetic mutations in COL7A1 gene encoding type VII collagen, a major stabilizing molecule of the dermo-epidermal junction. The blister formation is mainly due to the variable structural and functional impairment of anchoring fibrils in VII collagen (COLVII), responsible for the adhesion of the epidermis to the dermis. Method: Three Pakistani families (A, B and C) affected with congenital dystrophic epidermolysis bullosa were recruited in the present study. The whole-exome sequencing (WES) approach was utilized for the detection of the pathogenic sequence variants in probands. The segregation of these variants in other participants was confirmed by Sanger sequencing. Results: This study identified a novel missense variant c.7034G>A, p. Gly2345Asp in exon 91, a novel Frameshift mutation c.385del (p. His129MetfsTer18) in a homozygous form in exon no 3, and a previously known nonsense variation (c.1573 C>T; p. Arg525Ter) in exon 12 of COL7A1 gene in families A, B, and C, respectively, as causative mutations responsible for dystrophic epidermolysis bullosa in these families. Conclusion: Our study validates the involvement of the COL7A1 gene in the etiology of dystrophic epidermolysis bullosa. It further expands the COL7A1 gene mutation database and provides an additional scientific basis for diagnosis, genetic counseling, and prognosis purposes for EB patients.