Hybridization Profiles Research Articles

Fatigue and Impact Properties of Kenaf/Glass-Reinforced Hybrid Pultruded Composites for Structural Applications.

To address the weight, cost, and sustainability associated with fibreglass application in structural composites, plant fibres serve as an alternative to reduce and replace the usage of glass fibres. However, there remains a gap in the comprehensive research on plant fibre composites, particularly in their durability for viable structural applications. This research investigates the fatigue and impact properties of pultruded kenaf/glass-reinforced hybrid polyester composites tailored for structural applications. Utilising kenaf fibres in mat form, unidirectional E-glass fibre direct roving yarns, and unsaturated polyester resin as key constituents, pultruded kenaf/glass hybrid profiles were fabricated. The study reveals that pultruded WK/UG alternate specimens exhibit commendable fatigue properties (18,630 cycles at 60% ultimate tensile strength, UTS) and fracture energy (261.3 kJ/m2), showcasing promise for moderate load structural applications. Notably, the pultruded 3 WK/UG/3WK variant emerges as a viable contender for low-load structural tasks recorded satisfactory fatigue properties (10,730 cycles at 60% UTS) and fracture energy (167.09 kJ/m2). Fatigue failure modes indicate that the stress applied is evenly distributed. Ductile failures and delaminations during impact test can be attributed to damping and energy absorbing properties of kenaf fibres. Moreover, incorporating kenaf as a hybrid alternative demonstrates substantial reductions in cost (35.7-50%) and weight (9.6-19.1%). This research establishes a foundation for advancing sustainable and efficient structural materials and highlights the significant role of materials design in shaping the future of engineering applications.

Resource-Aware Federated Hybrid Profiling for Edge Node Selection in Federated Patient Similarity Network

The widespread adoption of edge computing for resource-constrained devices presents challenges in computational straggler issues, primarily due to the heterogeneity of edge node resources. This research addresses these issues by introducing a novel resource-aware federated hybrid profiling approach. This approach involves classifying edge node resources with relevant performance metrics and leveraging their capabilities to optimize performance and improve Quality of Service (QoS), particularly in real-time eHealth applications. Such paradigms include Federated Patient Similarity Network (FPSN) models that distribute processing at each edge node and fuse the built PSN matrices in the cloud, presenting a unique challenge in terms of optimizing training and inference times, while ensuring efficient and timely updates at the edge nodes. To address this concern, we propose a resource-aware federated hybrid profiling approach that measures the available static and dynamic resources of the edge nodes. By selecting nodes with the appropriate resources, we aim to optimize the FPSN to ensure the highest possible Quality of Service (QoS) for its users. We conducted experiments using edge performance metrics, i.e., accuracy, training convergence, memory and disk usage, execution time, and network statistics. These experiments uniquely demonstrate our work’s contribution to optimizing resource allocation and enhancing the performance of eHealth applications in real-time contexts using edge computing.

Quality, field germination of seeds and phenolic profiles of modern sugar sorghum hybrids

Purpose. To establish and analyze the biological features of seed quality indicators, field germination of seeds, and phytochemical composition of modern sugar sorghum hybrids 'Sugargraze ARG' (Argentina), 'Sioux', 'Mohawk' (USA) and 'Ananas' (Ukraine). Methods. Physiological-biochemical, agrochemical and statistical methods were used in the study. The content of phytochemicals in the seeds of the studied sugar sorghum hybrids was determined by the extraction method. Results. In the studied sorghum hybrids, a high concentration of the main phenolic profiles of the seeds was established. The quantitative component depended on the color of the pericarp of the grain, which affected the quality indicators of germination and field germination of the seeds. In hybrid 'Sioux', which has a dark brown color of the pericarp and the highest content of polyphenolic profiles (50.4%), germination energy, laboratory and field seed germination were low and amounted to 84, 90 and 80%, respectively. The high level of these indicators was formed by the hybrid 'Ananas' with the lowest content of phenolic profiles (38.1%) and with non-pigmented pericarp, which had germination energy, laboratory and field similarity of 96, 98 and 89%, respectively. Hybrids 'Sugargraze ARG' (light brown grain color) and 'Mohawk' (pink grain color) had indicators of germination energy of 90 and 95%, laboratory germination 93 and 96%, field germination 82 and 81%, respectively, and were characterized by an average content of phenolics profiles of 45.7 and 42.5%, respectively. Conclusions. The hybrid of American origin 'Sioux' that has a high content of phenolic compounds in the seeds, ensured the preservation of plants in the phase of full germination at the level of 87%, while Ukrainian hybrid 'Ananas' with the lowest content of phytochemical compounds also had the lowest preservation rate (80%) among the studied hybrids. In 'Sugargraze ARG' and 'Mohawk' that have medium phenol content, the rate of plants preserved in the full germination stage was 84–85%.

Coping with paradoxical demands: the dual position of deans in French business schools

ABSTRACT Recent studies have highlighted the major challenges faced by managers in the higher education sector and shown the contradictory demands which foster paradoxical tensions. Previous works have also underlined some specific tensions and rigidities that business school deans regularly face in their role. Yet, few studies have empirically explored which paradoxical tensions deans face and how they cope with them. Our paper addresses this gap. Using a qualitative study, we explore the simultaneous and interrelated contradictions faced by deans in French business schools and address how they manage the tensions related to these conflictual and complicated situations. Our work reveals five main tensions that deans have to face and two individual categories of responses to these tensions. It underlines two types of cognitive mindsets (paradox mindset and dilemma mindset) adopted by deans to deal with paradoxical tensions and highlights how deans have become academic entrepreneurs with hybrid profiles in a paradoxical system.

Anaerobic Speed Reserve and Performance Relationships Between International and World-Class Short-Track Speed Skating.

Short-track speed skating race distances of 500, 1000, and 1500 m that last ∼40seconds to ∼2.5minutes and require a maximal intensity at speeds beyond maximal oxygen uptake (VO2max). Recently, the anaerobic speed reserve (ASR) has been applied by scientists and coaches in middle-distance sports to deepen understanding of 1- to 5-minute event performance where different physiological profiles (speed, hybrid, and endurance) can have success. World-class (women, n = 2; men, n = 3) and international-level (women, n = 4; men, n = 5) short-track speed skaters completed maximal aerobic speed and maximal skating speed tests. ASR characteristics were compared between profiles and associated with on-ice performance. World-class athletes raced at a lower %ASR in the 1000- (3.1%; large; almost certainly) and 1500-m (1.8%; large; possibly) events than international athletes. Men's and women's speed profiles operated at a higher %ASR in the 500-m than hybrid and endurance profiles, whereas in the 1500-m, endurance profiles worked at a substantially lower %ASR than hybrid and speed profiles. Women's 500-m performance is very largely associated with maximal skating speed, while women's maximal aerobic speed appears to be a key determining factor in the 1000- and 1500-m performance. World-class short-track speed skaters can be developed in speed, hybrid, and endurance profiles but achieve their performance differently by leveraging their strongest characteristics. These results show nuanced differences between men's and women's 500-, 1000- and 1500-m event performance across ASR profile that unlock new insights for individualizing athlete performance in these disciplines.

Machine learning based tensile strength prediction and analysis on friction stir welded dissimilar joints (AA6082-AA5083) using conventional and hybrid tool pin profiles

Friction stir welding technique is considered to produce weldments with promising strengths. Owing to the minimum set of parameters only to be controlled during welding, this green welding technology possesses noticeable advantages over other welding techniques. As the world of Artificial Intelligence is taking great leaps, the application of machine learning is serving as a great advantage in several research domains. This paper focuses on comparing different ensemble learning-based boosting approaches and implementing an optimum regression model for predicting tensile strength. This was trained upon the experimented data along with the analysis comprehending the influence of parameters involved during the process of welding with the concept of Explainable AI. The results obtained were competent with a 0.985 R2 error and 5.292 RMSE.

Effects of food matrix on the prebiotic efficacy of inulin-type fructans: a randomised trial

Abstract Recently there is much debate in the scientific community over the impact of the food matrix on prebiotic efficacy of inulin-type fructans. Previous studies suggest that prebiotic selectivity of inulin-type fructans towards bifidobacteria is unaffected by the food matrix. Due to differences in study design, definitive conclusions cannot be drawn from these findings with any degree of certainty. In this randomised trial, we aimed to determine the effects that different food matrices had on the prebiotic efficacy of inulin-type fructans following a standardised 10-day, 4-arm, parallel, randomised protocol with inulin either in pure form or incorporated into shortbread biscuits, milk chocolate or a rice drink. Similar increases in Bifidobacterium counts were documented across all four interventions using both fluorescence in situ hybridisation (pure inulin: +0.63; shortbread: +0.59; milk chocolate: +0.65 and rice drink: +0.71 (log10 cells/g wet faeces) and 16S rRNA sequencing quantitative microbiome profiling data (pure inulin: +1.21 × 109; shortbread: +1.47 × 109; milk chocolate: +8.59 × 108 and rice drink: +1.04 × 109 (cells/g wet faeces) (all ). From these results, we can confirm that irrespective of the food matrix, the selectivity of inulin-type fructans towards Bifidobacterium is unaffected, yet the compositional make-up of the food matrix may have implications regarding wider changes in the microbiota.

Computed tomography investigations of 3D aluminum-GMT hybrid profiles manufactured by compression molding

The main work issue is to optimize the manufacturing of hybrid profiles bearing loads defined by the automotive application, based on the monitoring of the production quality using computed tomography (CT). This offers an efficient, accurate and non-destructive inspection of the products in terms of time and costs in order to prove the production quality. The investigated parts consisted of glass mat reinforced thermoplastic (GMT) 3D structures covered by aluminum straps (AA5754) with different thicknesses. They were manufactured at varied process temperatures by compression molding. The profiles quality was evaluated by CT, where the designed and actual dimensions were compared and the porosity and the fiber distribution inside the profiles were examined. In a next step, quasi-static three point bending tests were carried out on the produced profiles in order to evaluate the impact of the production effects on the mechanical behavior. First CT results showed an inhomogeneous distribution of the fibers in the matrix especially for the profiles fabricated at lower tool temperature. Pores were also found in the areas with low concentration of fibers. After bending, the cracks tended to propagate along the fiber orientation. Consequently, the main failure mechanisms consisted in inter fiber fracture and delamination of the aluminum strap.

Morphological and metabolomics profiling of intraspecific Arabidopsis hybrids in relation to biomass heterosis

Heterosis contributes greatly to the worldwide agricultural yield. However, the molecular mechanism underlying heterosis remains unclear. This study took advantage of Arabidopsis intraspecific hybrids to identify heterosis-related metabolites. Forty-six intraspecific hybrids were used to examine parental effects on seed area and germination time. The degree of heterosis was evaluated based on biomass: combinations showing high heterosis of F1 hybrids exhibited a biomass increase from 6.1 to 44% over the better parent value (BPV), whereas that of the low- and no-heterosis hybrids ranged from − 19.8 to 9.8% over the BPV. Metabolomics analyses of F1 hybrids with high heterosis and those with low one suggested that changes in TCA cycle intermediates are key factors that control growth. Notably, higher fumarate/malate ratios were observed in the high heterosis F1 hybrids, suggesting they provide metabolic support associated with the increased biomass. These hybrids may produce more energy-intensive biomass by speeding up the efficiency of TCA fluxes. However, the expression levels of TCA-process-related genes in F1 hybrids were not associated with the intensity of heterosis, suggesting that the post-transcriptional or post-translational regulation of these genes may affect the productivity of the intermediates in the TCA cycle.

The KAT6B::KANSL1 Fusion Defines a New Uterine Sarcoma With Hybrid Endometrial Stromal Tumor and Smooth Muscle Tumor Features

Neoplasms harboring a KAT6B/A::KANSL1 fusion were initially reported as benign (leiomyomas) and malignant (leiomyosarcomas, low-grade endometrial stromal sarcomas [LG-ESSs]) uterine neoplasms. However, they may represent an emerging entity characterized by clinical aggressiveness contrasting with a rather reassuring microscopic appearance. Here, we aimed to confirm that this neoplasm is a distinct clinicopathologic and molecular sarcoma and identify criteria that should alert pathologists and lead to KAT6B/A::KANSL1 fusion testing in routine practice. Therefore, we conducted a comprehensive clinical, histopathologic, immunohistochemical, and molecular study, including array comparative genomic hybridization, whole RNA-sequencing, unsupervised clustering, and cDNA mutational profile analyses of 16 tumors with KAT6B::KANSL1 fusion from 12 patients. At presentation, patients were peri-menopausal (median, 47.5 years), and the primary tumors were located in the uterine corpus (12/12, 100%), with an additional prevesical location in 1 (8.3%) of 12 cases. The relapse rate was 33.3% (3/9). All tumors (16/16, 100%) showed morphologic and immunohistochemical features overlapping between leiomyoma and endometrial stromal tumors. A whirling recurrent architecture (resembling fibromyxoid-ESS/fibrosarcoma) was found in 13 (81.3%) of 16 tumors. All tumors (16/16, 100%) exhibited numerous arterioliform vessels, and 13 (81.3%) of 18 had large hyalinized central vessels and collagen deposits. Estrogen and progesterone receptors were expressed in 16 (100%) of 16 and 14 (87.5%) of 16 tumors, respectively. Array comparative genomic hybridization performed on 10 tumors classified these neoplasms as simple genomic sarcomas. Whole RNA-sequencing on 16 samples and clustering analysis on primary tumors found that the KAT6B::KANSL1 fusion always occurred between exons 3 of KAT6B and 11 of KANSL1; no pathogenic variant was identified on cDNA, all neoplasms clustered together, close to LG-ESS, and pathway enrichment analysis showed cell proliferation and immune infiltrate recruitment pathway involvement. These results confirm that the sarcomas harboring a KAT6B/A::KANSL1 fusion represent a distinct clinicopathologic entity, close to LG-ESS but different, with clinical aggressiveness despite a reassuring morphology, for which the KAT6B/A::KANSL1 fusion is the molecular driver alteration.

Temporally modulated laser power dynamic drilling strategy with comprehensive optimization of quality and efficiency

Motivated by the need to comprehensively optimize the quality and efficiency of laser drilling, a dynamic drilling strategy wherein laser power is temporally modulated is proposed, the laser power of which increases with the number of pulses to match the dynamics of the drilling process. Taking nanosecond laser drilling as the specific research process, the proposed dynamic drilling strategy is successfully applied. A continuous hydrodynamic model is first established to reveal the mechanism and driving force of material removal. Subsequently, linear and hybrid power growth profiles are proposed to improve the driving force of melt ejection and evaporation intensity during the drilling process. By comparing the variations in crater depth, ablation rate, recoil pressure, and recast layer thickness with the number of pulses, the effect of dynamic drilling modes on the drilling process and micro-holes performances was revealed. Moreover, the effect of power growth rate on the dynamic drilling process and final micro-hole quality is discussed in detail to provide a basis for formulation and optimization of the power growth profile. Finally, an experiment using an aerospace Ni-based superalloy verifies the reliability of the dynamic drilling strategy and the material removal rate, taper, and recast layer thickness of the micro-holes are comprehensively optimized. The proposed dynamic drilling strategy provides an effective solution to the universal problems of micro-hole quality and efficiency in the field of laser drilling.

Deep learning-based reconstruction and 3D hybrid profile order technique for MRCP a 3T: evaluation of image quality and acquisition time.

To evaluate the image quality of the 3D hybrid profile order technique and deep-learning-based reconstruction (DLR) for 3D magnetic resonance cholangiopancreatography (MRCP) within a single breath-hold (BH) at 3T magnetic resonance imaging (MRI). This retrospective study included 32 patients with biliary and pancreatic disorders. BH images were reconstructed with and without DLR. The signal-to-noise ratio (SNR), contrast, contrast-to-noise ratio (CNR) between the common bile duct (CBD) and periductal tissues, and full width at half maximum (FWHM) of CBD on 3D-MRCP were evaluated quantitatively. Two radiologists scored image noise, contrast, artifacts, blur, and overall image quality of the three image types using a 4-point scale. Quantitative and qualitative scores were compared using the Friedman test and post hoc Nemenyi test. The SNR and CNR were not significantly different when under respiratory gating- and BH-MRCP without DLR. However, they were significantly higher under BH with DLR than under respiratory gating (SNR, p = 0.013; CNR, p = 0.027). The contrast and FWHM of MRCP under BH with and without DLR were lower than those under respiratory gating (contrast, p < 0.001; FWHM, p = 0.015). Qualitative scores for noise, blur, and overall image quality were higher under BH with DLR than those under respiratory gating (blur, p = 0.003; overall, p = 0.008). The combination of the 3D hybrid profile order technique and DLR is useful for MRCP within a single BH and does not lead to the deterioration of image quality and space resolution at 3T MRI. Considering its advantages, this sequence might become the standard protocol for MRCP in clinical practice, at least at 3.0 T. • The 3D hybrid profile order can achieve MRCP within a single breath-hold without a decrease in spatial resolution. • The DLR significantly improved the CNR and SNR of BH-MRCP. • The 3D hybrid profile order technique with DLR reduces the deterioration of image quality in MRCP within a single breath-hold.

Stability analyses of sunflower (&lt;em&gt;Helianthus annuus&lt;/em&gt; L.) hybrids for oleic acid and yield traits under multi location trials in Pakistan

The development of a hybrid with high oleic acid is an important breeding goal for sunflower. High oleic acid sunflower has better cooking quality due to low oxidation and rancidity. Hence, inbred lines differing for oleic acid content were selected, alongside the development of hybrids where one or both parents exhibited high oleic acid content in edible oil, and then evaluated at various sites (i.e. with comparatively low temperature during sunflower reproductive phase at Sargodha and Faisalabad; while high temperature and low humidity at Bhawalpur and Multan) in Pakistan during spring season. Moreover, autumn season was relatively cool and high humid for sites (Faisalabad and Sargodha, Pakistan). DNA profiling of hybrids differing for oleic acid content using N1-3F/N2-1R confirmed the presence of a high oleic acid allele in the hybrids. Oleic acid content and seed yield components were increased at high temperature and low humidity to a greater extent in spring than in autumn season. Among the hybrids, one (H5) had stable high oleic acid content during the spring season with higher seed yield and kernel to seed percentage than the check cultivars (Hysun-33 and FH-331). Analysis of the combining ability of two locations revealed a relationship between mean oleic acid contents and combining ability, thereby suggesting the effectiveness of selection in developing high oleic acid inbred lines. Newly developed inbred C.112.P was a positive combiner for oleic acid at all sites except Sargodha, while restorer populations such as RH.344, RH.345 and RH.347 were positive male combiners.

Computational method for aromatase-related proteins using machine learning approach.

Human aromatase enzyme is a microsomal cytochrome P450 and catalyzes aromatization of androgens into estrogens during steroidogenesis. For breast cancer therapy, third-generation aromatase inhibitors (AIs) have proven to be effective; however patients acquire resistance to current AIs. Thus there is a need to predict aromatase-related proteins to develop efficacious AIs. A machine learning method was established to identify aromatase-related proteins using a five-fold cross validation technique. In this study, different SVM approach-based models were built using the following approaches like amino acid, dipeptide composition, hybrid and evolutionary profiles in the form of position-specific scoring matrix (PSSM); with maximum accuracy of 87.42%, 84.05%, 85.12%, and 92.02% respectively. Based on the primary sequence, the developed method is highly accurate to predict the aromatase-related proteins. Prediction scores graphs were developed using the known dataset to check the performance of the method. Based on the approach described above, a webserver for predicting aromatase-related proteins from primary sequence data was developed and implemented at https://bioinfo.imtech.res.in/servers/muthu/aromatase/home.html. We hope that the developed method will be useful for aromatase protein related research.

Incidence, Clinicopathologic Features, HER2 Fluorescence In Situ Hybridization Profile, and Oncotype DX Results of Human Epidermal Growth Factor Receptor 2-Low Breast Cancers: Experience From a Single Academic Center

Human epidermal growth factor receptor 2 (HER2)-low breast cancer, defined by an immunohistochemical (IHC) score of 1+ or 2+ with negative in situ hybridization, is emerging as a predictive marker for the use of the antibody-drug conjugate. To understand how this category differs from HER2-zero cases, we investigated clinicopathological characteristics and HER2 fluorescence in situ hybridization results in a large cohort of 1309 continuous HER2-negative invasive breast carcinomas from 2018 to 2021 evaluated by the Food and Drug Administration-approved HER2 IHC test. Additionally, we compared Oncotype DX recurrence scores and HER2 mRNA expression between HER-low and HER2-zero cases in a separate cohort of 438 estrogen receptor-positive (ER+) early-stage breast carcinoma cases from 2014 to 2016. Based on the cohort from 2018 to 2021, the incidence of HER2-low breast cancers was approximately 54%. HER2-low cases had less frequent grade 3 morphology, less frequent triple-negative results, ER and progesterone receptor negativity, and a higher mean HER2 copy number and HER2/CEP17 ratio than HER2-zero cases (P < .0001). Among ER+ cases, HER2-low cases showed significantly less frequent Nottingham grade 3 tumors. In the cohort from 2014 to 2016, HER2-low cases showed significantly higher ER+ percentages, fewer progesterone receptor-negative cases, lower Oncotype DX recurrence scores, and higher HER2 mRNA expression scores than HER2-zero cases. In summary, this is the first study, to our knowledge, using a large cohort of continuous cases evaluated by the Food and Drug Administration-approved HER2 IHC companion diagnostic test for HER2-low expression and HER2 fluorescence in situ hybridization profile in a real-world setting. Although HER2-low cases showed a higher HER2 copy number, ratio, and mRNA level than HER2-zero cases statistically, such small differences are unlikely to be biologically or clinically meaningful. However, our study suggests that HER2-low/ER+ early-stage breast carcinoma may represent a less aggressive group of breast carcinoma, given its association with a lower Nottingham grade and Oncotype DX recurrence score.

Experimental and FE analyses of the crushing and bending behaviors of GMT and hybrid-formed Al-GMT structures

This paper describes the experimental behaviors and FEA of GMT and hybrid Al-GMT structures under bending and axial crushing loadings. Previous investigations have revealed that GMT profiles may provide promising energy absorption and weight savings in automotive body structures if structural integrity issues are solved by FRP–metal hybrid. Such an FRP–metal hybrid can be cost-efficiently manufactured by a single-stage hybrid forming process that combines sheet metal, FRP forming, and adhesive bonding between them simultaneously. A reliable FE model capable of predicting the complex material architecture, as well as the failure behavior of the pure GMT and the bonded Al-GMT hybrid profiles, is thus required to realize the full potential of the new material combination. In this work, a prospective methodology is proposed to numerically predict the behavior of hybrid structures. For each material, a separate material model of LS-DYNA was proposed and investigated. As a result, the built FE model was validated by experiments on both three-point bending and axial crash tests using two different hat profiles. The crushing morphologies and fracture mechanisms are compared and discussed.

Terminators or Guardians? Design, Synthesis, and Cytotoxicity Profiling of Chalcone-Sulfonamide Hybrids.

With a "less is more" philosophy, a series of 15 chalcone-sulfonamide hybrids were designed anticipating synergistic anticancer activity. The aromatic sulfonamide moiety was included as a known direct inhibitor of carbonic anhydrase IX activity through its zinc chelating property. The chalcone moiety was incorporated as an electrophilic stressor to indirectly inhibit carbonic anhydrase IX cellular activity. Screening by the Developmental Therapeutics Program of the National Cancer Institute, NCI-60, revealed that 12 derivatives were potent inhibitors of cancer cell growth in multiple cell lines and were promoted to the five-dose screen. The cancer cell growth inhibition profile indicated sub- to two-digit micromolar potency (GI50 down to 0.3 μM and LC50 as low as 4 μM) against colorectal carcinoma cells, in particular. Unexpectedly, most compounds demonstrated low to moderate potency as direct inhibitors of carbonic anhydrase catalytic activity in vitro, with 4d being the most potent, having an average Ki value of 4 μM. Compound 4j showed ca. six-fold selectivity to carbonic anhydrase IX over the other tested isoforms in vitro. Cytotoxicity of both 4d and 4j in live HCT116, U251, and LOX IMVI cells under hypoxic conditions confirmed their targeting of carbonic anhydrase activity. Elevation of oxidative cellular stress was stipulated from the increase in Nrf2 and ROS levels in 4j-treated colorectal carcinoma, HCT116, cells compared to the control. Compound 4j arrested the cell cycle of HCT116 cells at the G1/S phase. In addition, both 4d and 4j showed up to 50-fold cancer cell selectivity compared to the non-cancerous HEK293T cells. Accordingly, this study presents 4d and 4j being new, synthetically accessible, simplistically designed derivatives as potential candidates to be further developed as anticancer therapeutics.

Hybrid controller: main competences and skills

Purpose: To identify in the scientific literature the main technical competences and professional skills associated with the technical bean counter and managerial business partner controller profiles.&#x0D; Methodology: A literature review was conducted, indexed to the Web of Science and Scopus databases, using the Chartered Association of Business Schools 2018 ranking to select scientific articles published in high-quality journals in the last 10 years. The process resulted in a sample of 11 articles, on which content analysis was applied. The analysis was guided by 30 categories based on the consulted literature (theory-driven categorization). 558 codes were collected, and through them, the main competencies and skills needed by the hybrid controller were identified.&#x0D; Results: The technical profile presents as its main competence the financial accounting and reporting competence, which concentrated more than 50% of the profile codes. The managerial profile presents managerial accounting competence and the interpersonal and communication skills as the main ones, together comprising less than 50% of the profile codes. The managerial profile identified is close to the hybrid controller profile, little explored in the literature, which fluctuates between the technical and managerial polar profiles due to contextual and cultural factors.&#x0D; Contributions of the Study: The study contributes to academia by deepening discussions on the hybrid profile, pointing out their main competencies and skills, and identifying which contextual and cultural factors influence the professional profile. By highlighting the main competencies and skills, the study contributes to practice, which can be supported by these findings to better conduct selection processes, for example, in addition to highlighting the necessary alignment between organizational context and culture and the desired profile for the controller.

Large-scale genomic and transcriptomic profiles of rice hybrids reveal a core mechanism underlying heterosis

BackgroundHeterosis is widely used in agriculture. However, its molecular mechanisms are still unclear in plants. Here, we develop, sequence, and record the phenotypes of 418 hybrids from crosses between two testers and 265 rice varieties from a mini-core collection.ResultsPhenotypic analysis shows that heterosis is dependent on genetic backgrounds and environments. By genome-wide association study of 418 hybrids and their parents, we find that nonadditive QTLs are the main genetic contributors to heterosis. We show that nonadditive QTLs are more sensitive to the genetic background and environment than additive ones. Further simulations and experimental analysis support a novel mechanism, homo-insufficiency under insufficient background (HoIIB), underlying heterosis. We propose heterosis in most cases is not due to heterozygote advantage but homozygote disadvantage under the insufficient genetic background.ConclusionThe HoIIB model elucidates that genetic background insufficiency is the intrinsic mechanism of background dependence, and also the core mechanism of nonadditive effects and heterosis. This model can explain most known hypotheses and phenomena about heterosis, and thus provides a novel theory for hybrid rice breeding in future.

Physical and biochemical profile of fox-gestational hybrids by sex and age

Purpose: The study of biochemical indicators of blood of females and males of fox hybrids with age.Materials and methods. Research was carried out on females and males of fox hybrids. The age dynamics of changes in the biochemical parameters of the blood was evaluated with a comparative analysis of 2 age groups: females and males of fox hybrids 2 and 5 months (n = 30). The animals were fed once a day (in the morning) with meat mixtures in accordance with age and physiological condition, contained under the same conditions. Blood from the animals was taken into a special test tube with an activator of a clot of lateral subcutaneous vein of the lower leg until morning feeding. They received serum from it by centrifugation at 2000 rpm for 15 minutes. To obtain information about the functional state of the body, biochemical tests were selected that reliably reflect the state of metabolic processes as carbohydrate, lipid protein: general protein, albumins, alanineaminotransferase, aspartaminotransferase, alkaline phosphatase, α-amylase, glucose, urea, creatinine.Results. Animals in the process of growth and development showed an increase in a number of indicators: urea, creatinine, total protein, albumin and glucose. ALT and AST activity, on the contrary, decreased with age, reaching minimum values 2 in 5-month-old animals. Alkaline phosphatase concentration also decreased with age. The level of α amylase during the growth and development of the animal did not undergo significant changes. Indicators of protein, carbohydrate metabolism, as well as renal markers and enzymes in fox-bearing hybrids are characterized by sex differences. Thus, the biochemical composition of the blood during the growth and development of the animal undergoes a number of changes. The collection and systematization of data will allow the calculation of the reference boundaries of the main blood parameters of lisopesse hybrids to assess the biochemical status of the beast by sex and age.