Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear research on temperature stress of over-long frame structure

As the analysis on the temperature deformation of over-long frame structures is usually focused on the basis of material's linear mechanic performance, the standard finite-element method strategy, based on the concepts of smeared cracking constitutive law, is used in the version implemented in the commercial code ABAQUS by HKS. A representative over-long frame structure's deformation under ramp temperature reduction is taken into account in order to simulate the cracking of concrete slab with proper numerical finite-element model. At the same time, a preliminary study about the concrete slab prestressed with unbonded tendons is also performed. Through the analysis, some significant information can be obtained for designing and further study: (i) the temperature stress does an important roll in simulating concrete slab's cracking process and has distinct nonlinear characteristic; (ii) concrete smeared cracking model can grasp structure's global mechanic performance.
Skills nomenclature: what to expect from college versus university bachelor’s degrees

ABSTRACT Students invest time and money in post-secondary education to secure employment in their chosen field of study. In the past, choices were often constrained by the type of credential (college diploma or university bachelor’s degree). Albeit this decision criterion became blurred when colleges started offering bachelor’s degrees. Matriculating students now also decide which type of institution might best prepare them for their future employment. Students often look to course descriptions to select courses that can be reasonably expected to offer skills for career preparedness. But what happens when academia uses a different language to describe skills desired by employers? This study aims to understand whether colleges or universities offer a stronger lexical alignment between course descriptions and high-demand industry skills. It examines communication barriers arising from a potential linguistic misalignment of skills using a computer-assisted text-analysis tool to compare course curricula with online job postings. Findings support a general misalignment but show that course descriptions at colleges have a stronger linguistic overlap of skills demanded by industry. We discuss the implications of employing a dynamic technology-driven tool to improve the academic-industry alignment of skills nomenclature.
Effect of E-64 Supplementation during In Vitro Maturation on the Developmental Competence of Bovine OPU-Derived Oocytes

Recovery of bovine oocytes using the ovum pick-up (OPU) technique offers the advantage of rapid genetic improvement through propagation of desired genes from animals with high genetic qualities. However, the developmental competence of OPU-derived immature oocytes remains relatively poor. We previously found that cathepsin B gene expression and activity are increased in poor quality oocytes and embryos compared to good quality ones. In this study, we investigated the effect of E-64 (cathepsin B inhibitor) supplementation during in vitro maturation (IVM) on the developmental competence of OPU-derived immature oocytes and the quality of the produced blastocysts. Our results showed that supplementation of IVM medium with E-64 significantly improved the developmental competence of OPU-derived immature oocytes as evidenced by the significant increase of the blastocyst rate. Importantly, the presence of E-64 during IVM also significantly improved blastocyst quality by increasing the total cell number and decreasing the percentage of TUNEL positive cells. These results indicate that E-64 supplementation during IVM is a promising tool to improve the efficiency of OPU-IVF program by improving the developmental competence of OPU-derived immature oocytes.
Temperature Error Compensation Technology of All-fiber Optical Current Transformers

The main temperature error sources of all-fiber optical current transformer(FOCT) are analyzed.The errors caused by fiber λ/4 waveplate and Verdet constant are calculated in theory.A temperature error compensation technology is presented,which uses the error caused by λ/4 waveplate to compensate for the error caused by Verdet constant by choosing appropriate original phase retardation angle of the λ/4 waveplate.The experimental results show that FOCT can satisfy the temperature cycle accuracy requirements of the 0.2 s class measuring electronic transformer.
LiKidMiRs: A ddPCR-Based Panel of 4 Circulating miRNAs for Detection of Renal Cell Carcinoma

Simple Summary Early detection of renal cell carcinoma (RCC) significantly increases the likelihood of curative treatment, avoiding the need of adjuvant therapies, associated side effects and comorbidities. Thus, we aimed to discover circulating microRNAs that might aid in early, minimally invasive, RCC detection/diagnosis. Abstract Background: Decreased renal cell cancer-related mortality is an important societal goal, embodied by efforts to develop effective biomarkers enabling early detection and increasing the likelihood of curative treatment. Herein, we sought to develop a new biomarker for early and minimally invasive detection of renal cell carcinoma (RCC) based on a microRNA panel assessed by ddPCR. Methods: Plasma samples from patients with RCC (n = 124) or oncocytomas (n = 15), and 64 healthy donors, were selected. Hsa-miR-21-5p, hsa-miR-126-3p, hsa-miR-155-5p and hsa-miR-200b-3p levels were evaluated using a ddPCR protocol. Results: RCC patients disclosed significantly higher circulating levels of hsa-miR-155-5p compared to healthy donors, whereas the opposite was observed for hsa-miR-21-5p levels. Furthermore, hsa-miR-21-5p and hsa-miR-155-5p panels detected RCC with high sensitivity (82.66%) and accuracy (71.89%). The hsa-miR-126-3p/hsa-miR-200b-3p panel identified the most common RCC subtype (clear cell, ccRCC) with 74.78% sensitivity. Conclusion: Variable combinations of plasma miR levels assessed by ddPCR enable accurate detection of RCC in general, and of ccRCC. These findings, if confirmed in larger studies, provide evidence for a novel ancillary tool which might aid in early detection of RCC.
Multi-objective Load Optimal Dispatch and Decision-making Guidance of Power Plant

The traditional model of load dispatch was modified, three objectives which include power coal consumption rate of the whole plant, pollution emission and load adjusting time were considered simultaneously and a multi-objective plant load dispatch model was established. The multi-objective optimization and decision guidance problem was studied through a hybrid approach which was combined multi-objective optimization algorithm with multiple attributes decision making method. According to the local convergence of nondominated sorting genetic algorithms-II (NSGA-II), a new parallel NSGA-II multi-objective optimization structure was proposed. The diversity of Pareto front was increased and more abundant information for decision-making was provided. The Pareto solution set was sorted and the optimal solution was obtained by introducing method of multi-object decision-making based on maximum deviations and entropy. A case study of a power plant was carried out. The result shows that this method is practical and it can accomplish multi-objective plant load dispatch accurately and quickly. Finally the correct guidance is provided.
Community Participa tion and Sustainable Development in the Niger Delta

The paper examined community participation and sustainable development in the Niger Delta. The research question addressed the extent at which sustainable development of the Niger Delta and improved welfare of oil producing communities is dependent on their participation in the design and execution of community projects. It assumes that sustainable development of the oil producing communities can best be achieved through their participation in the design and execution of community projec ts. An exploratory cross sectional survey research design was used in conducting the study using questionnaire administered on 396 randomly selected respondents from three age brackets (35 -39, 40-44
Synthetic Evaluation Method For Electric Power Production Safety Based on the Extension Cloud Model

For the purpose of ensuring the safety of the power production process,we must evaluate its safety level objectively and reasonably.In view of the characteristics of comprehensive assessment of power production safety and with full consideration of the fuzziness and randomness of the boundary value of safety classification for electric power production,this paper applies the extension cloud model theory to evaluating the comprehensive state of electric power production.First,the study constructs synthetic evaluation system of electric power production security by combining the modern security theory and actual production and applies the comprehensive subjective and objective empowerment method to determine the weight of each index;and then builds the extension cloud model for evaluation by combining the characteristic of uncertain reasoning of the cloud model and the qualitative and quantitative analysis of the matter element analysis theory;finally,the paper introduces the coefficients of credible degree and risk factors to provide the credibility information and danger information of the evaluation result.The case analysis shows that the method is feasible and scientific.
Italian Labour Frictions and Wage Rigidities in an Estimated DSGE

This paper investigates how Italian labour market institutions influence business cycle fluctuations. We apply a DSGE model that features Italian labour market rigidities and we estimate the latter on Italian data using Bayesian techniques to assess the effects of demand, supply, and labour market shocks on the macroeconomy, and to measure their significance for economic fluctuations. Our results show: First, technology, time preference and wage bargaining shocks are key drivers of economic fluctuations across horizons. Second, matching efficiency and wage bargaining shocks are significant sources of unemployment and vacancies fluctuations but their role is limited for output fluctuations. Third, labour market relaxation policies have only marginally contributed to the reduction in unemployment. Last, accounting for wage rigidities influences labour market dynamics and helps the model to fit data well. We, therefore, urge policymakers to support additional changes in labour market institutions.
What Patients Prioritize for Research to Improve Their Lives and How Their Priorities Get Dismissed again

Health researchers increasingly work with patients in a participatory fashion. Active patient involvement throughout the research process can provide epistemic justice to patients who have often only had an informant role in traditional health research. This study aims to conduct participatory research on patient experiences to create a solid research agenda with patients and discuss it with relevant stakeholders. We followed a participatory research design in 18 sub-studies, including interviews and group sessions (n = 404 patients), and dialogue sessions (n = 367 professionals and directors in healthcare and social work, municipality civil servants, and funding agencies) on patient experiences with psychiatric care, community care, daycare, public health, and social work. Findings from the eight-year study show that four priorities stood out: attention for misuse of power and abuse; meaningful participation; non-human assistance, and peer support. Moreover, that: (1) patients, based on their experiences, prioritize different topics than experts; (2) most topics are trans-diagnostic and point to the value of a cross-disability approach; and (3) the priorities of patients are all too easily dismissed and require ethics work to prevent epistemic injustice. Long-term investment in a transdisciplinary community of practice offers a solid basis for addressing patient-centered topics and may impact the quality of life of people living with chronic illness, disability, or vulnerability.
Determinan Kesuksesan Sistem Informasi Core Banking System dengan Variabel Pendekatan Model Delone dan Mclean

PT Bank Perkreditan Rakyat (BPR) Hasamitra Jawa Barat merupakan perusahaan jasa yang bergerak dibidang keuangan/pembiayaan yang berskala menengah. Penelitian ini berusaha mengkaji dan merumuskan apakah secara parsial dan simultan variabel-variabel yang terdiri dari kualitas sistem (system quality), kualitas informasi (information quality), kualitas layanan (service quality), penggunaan informasi (use), kepuasan pemakai (user satisfaction) dan manfaat (net benefit) berpengaruh dalam menentukan kesuksesan penerapan Core Banking System pada PT Bank Perkreditan Rakyat (BPR) Hasamitra Jawa Barat. Sampel yang digunakan dalam penelitian ini sebanyak 18 responden dengan teknik pengambilan sampel adalah slovin yang dilakukan dengan cara ukuran populasi dibagi dengan 1 (satu) ditambah dengan ukuran populasi dikali dengan kelonggaran ketidaktelitian yang ditoleransi dipangkat dua. Sementara, data yang terkumpul dianalisis dengan menggunakan uji validitas, uji reliabilitas. Sedangkan untuk menganalisis data digunakan analisis skal likert dan uji regresi linear berganda. Uji hipotesa menggunakan uji T hitung, F hitung dan koefisien determinasi (R2). Hasil dari analisis dan juga pembahasan, bahwa variabel kualitas sistem (system quality) dan manfaat (net benefit) secara parsial berpengaruh signifikan terhadap kesuksesan sistem informasi Core Banking System di PT Bank Perkreditan Rakyat (BPR) Hasamitra Jawa Barat. Sementara, Penggunaan Informasi menjadi satu-satunya yang mempunyai pengaruh negatif terhadap kesuksesan sistem informasi Core Banking System. Akan tetapi, variabel kualitas sistem (system quality), kualitas informasi (information quality), kualitas layanan (service quality), penggunaan informasi (use), kepuasan pemakai (user satisfaction) dan manfaat (net benefit) secara bersama-sama (simultan) berpengaruh terhadap kesuksesan sistem informasi Core Banking System di PT Bank Perkreditan Rakyat (BPR) Hasamitra Jawa Barat
Multiparameter-controlled laser ionization within a plasma wave for wakefield acceleration

We present an optical setup for well-defined ionization inside a plasma such that precisely controlled spots of high electron density can be generated. We propose to use the setup for Trojan Horse Injection (or Plasma Photocathode Emission) where a collinear laser beam is needed to release electrons inside a plasma wakefield. The reflection-based setup allows a suitable manipulation of the laser near field without disturbing the spectral phase of the laser pulses. A required ionization state and volume can be reached by tuning the beam size, pulse duration and pulse energy. The ionization simulations enable a prediction of the ionization spot and are in good agreement with dedicated experiments which measured the number of electrons created during the laser–gas interaction.
Load disturbance observer-based control method for sensorless PMSM drive

This study proposes a sensorless control method for the permanent magnet synchronous machine (PMSM) drive that is robust against load torque variations. The proposed method is based on the disturbance observer-based control (DOBC) method, and involves the use of a back electromotive force observer and a torque observer to estimate rotor position and compensate for load torque disturbance, respectively. This mechanism is simple to implement and requires no state vector derivation. The gains of the two observers are carefully selected to improve estimation accuracy and dynamic performance. The performance of the proposed load DOBC for sensorless PMSM drives was tested through a simulation, where the sensorless estimation error was considered to determine the adjustment laws for the proposed observer gains. Furthermore, results of evaluative experiments verified the effectiveness of the proposed method for high-performance sensorless control and torque disturbance rejection for the PMSM drive.
Effects of Dietary Supplementation with Red Yeast (Sporidiobolus pararoseus) on Productive Performance, Egg Quality, and Duodenal Cell Proliferation of Laying Hens

Simple Summary The present study investigated the effect of different levels of red yeast added to the diet of laying hens as a substitute for antibiotics. The aim of this study is to measure growth performance, egg quality, and small intestinal health of hens receiving this supplement at various levels during 22–60 weeks of age. The results indicate that supplementation with dietary red yeast has a positive effect on productivity and gut health; thus, we suggest administration of this additive as a substitute for antibiotics in laying hens. Abstract Nowadays, industrial poultry producers are more focused on the safety of their products, especially contaminants from feedstuffs such as mycotoxin and pesticides. The residue from animal production using antibiotic growth promoters (AGPs) may cause some problems with antimicrobial resistance in human and animals. Red yeast (Sporidiobolus pararoseus) has a cell wall consisting of β-glucan and mannan-oligosaccharides and pigments from carotenoids that may be suitable for use as a substitute for AGPs. The objective was to evaluate the effects of red yeast in laying hen diets on productive performance, egg quality, and duodenal health. A total of 22-week-old laying hens (n = 480) were divided into five groups: control diet (CON), AGP at 4.5 g/kg and red yeast supplementation at 1.0 (RY1.0), 2.0 (RY2.0) and 4.0 g/kg (RY4.0) of diet. The results show that the AGP, RY2.0, and RY4.0 groups had significantly higher final body weight compared with the other groups (p < 0.001). The red yeast supplementation improved the egg shape index (p = 0.025), Haugh unit (p < 0.001), and yolk color (p = 0.037), and decreased yolk cholesterol (p < 0.001). Diet with red yeast supplementation improved villus height to crypt depth ratio and crypt cell proliferations. In conclusion, red yeast supplementation at 2.0 g/kg of diet can substitute AGP in layer diet.
Heme A Synthase Deficiency Affects the Ability of Bacillus cereus to Adapt to a Nutrient-Limited Environment

The branched aerobic respiratory chain in Bacillus cereus comprises three terminal oxidases: cytochromes aa3, caa3, and bd. Cytochrome caa3 requires heme A for activity, which is produced from heme O by heme A synthase (CtaA). In this study, we deleted the ctaA gene in B. cereus AH187 strain, this deletion resulted in loss of cytochrome caa3 activity. Proteomics data indicated that B. cereus grown in glucose-containing medium compensates for the loss of cytochrome caa3 activity by remodeling its respiratory metabolism. This remodeling involves up-regulation of cytochrome aa3 and several proteins involved in redox stress response—to circumvent sub-optimal respiratory metabolism. CtaA deletion changed the surface-composition of B. cereus, affecting its motility, autoaggregation phenotype, and the kinetics of biofilm formation. Strikingly, proteome remodeling made the ctaA mutant more resistant to cold and exogenous oxidative stresses compared to its parent strain. Consequently, we hypothesized that ctaA inactivation could improve B. cereus fitness in a nutrient-limited environment.
UV and Visible Spectrum LED Lighting as Abiotic Elicitors of Bioactive Compounds in Sprouts, Microgreens, and Baby Leaves—A Comprehensive Review including Their Mode of Action

Background: According to social demands, the agri-food industry must elaborate convenient safe and healthy foods rich in phytochemicals while minimising processing inputs like energy consumption. Young plants in their first stages of development represent great potential. Objective: This review summarises the latest scientific findings concerning the use of UV and visible spectrum LED lighting as green, sustainable, and low-cost technologies to improve the quality of sprouts, microgreens, and baby leaves to enhance their health-promoting compounds, focusing on their mode of action while reducing costs and energy. Results: These technologies applied during growing and/or after harvesting were able to improve physiological and morphological development of sprouted seeds while increasing their bioactive compound content without compromising safety and other quality attributes. The novelty is to summarise the main findings published in a comprehensive review, including the mode of action, and remarking on the possibility of its postharvest application where the literature is still scarce. Conclusions: Illumination with UV and/or different regions of the visible spectrum during growing and shelf life are good abiotic elicitors of the production of phytochemicals in young plants, mainly through the activation of specific photoreceptors and ROS production. However, we still need to understand the mechanistic responses and their dependence on the illumination conditions.
A Review of Current and Emerging Trends in Donor Graft-Quality Assessment Techniques

The number of patients placed on kidney transplant waiting lists is rapidly increasing, resulting in a growing gap between organ demand and the availability of kidneys for transplantation. This organ shortage has forced medical professionals to utilize marginal kidneys from expanded criteria donors (ECD) to broaden the donor pool and shorten wait times for patients with end-stage renal disease. However, recipients of ECD kidney grafts tend to have worse outcomes compared to those receiving organs from standard criteria donors (SCD), specifically increased risks of delayed graft function (DGF) and primary nonfunction incidence. Thus, representative methods for graft-quality assessment are strongly needed, especially for ECDs. Currently, graft-quality evaluation is limited to interpreting the donor’s recent laboratory tests, clinical risk scores, the visual evaluation of the organ, and, in some cases, a biopsy and perfusion parameters. The last few years have seen the emergence of many new technologies designed to examine organ function, including new imaging techniques, transcriptomics, genomics, proteomics, metabolomics, lipidomics, and new solutions in organ perfusion, which has enabled a deeper understanding of the complex mechanisms associated with ischemia-reperfusion injury (IRI), inflammatory process, and graft rejection. This review summarizes and assesses the strengths and weaknesses of current conventional diagnostic methods and a wide range of new potential strategies (from the last five years) with respect to donor graft-quality assessment, the identification of IRI, perfusion control, and the prediction of DGF.
Transcriptome analysis of gibberellins and abscisic acid during the flooding response in Fokienia hodginsii

Flooding is one of the main abiotic stresses suffered by plants. Plants respond to flooding stress through regulating their morphological structure, endogenous hormone biosynthesis, and genetic signaling transduction. We previously found that Fokienia hodginsii varieties originating from Gutian exhibited typical flooding tolerance traits compared to three other provenances (Yongzhou, Sanming, Nanping), expressed as increased height, longer diameter at breast height (DBH), and smaller branch angle. Herein, the changes in endogenous gibberellins (GA) and abscisic acid (ABA) contents were measured under flooding stress in F. hodginsii, and ABA was found to decrease, whereas GA increased with time. Furthermore, the GA and ABA contents of the varieties originating from Gutian and the three other provenances were measured, and the results indicated that F. hodginsii from Gutian could respond more rapidly to flooding stress. The transcriptomes of the varieties originating from Gutian and the other three provenances were compared using RNA sequencing to explore the underlying genetic mechanisms of the flood-resistant phenotypes in F. hodginsii. The results indicated that two flood-stress response genes (TRINITY_DN142_c0_g2 and TRINITY_DN7657_c0_g1) were highly related to both the ABA and GA response in F. hodginsii.