What impacts more on innovation : Organizational context or individual competences ?

The present article examines the link between a firm’s organizational context and its capacity to be ambidextrous in terms of innovation. Although the management practices underlying context have a profound effect on innovation, their impact has not previously been investigated. Nor has research looked empirically at the individual competences that should be developed in order to favour specific types of innovation. Using a dataset of 174 firms, the present study shows that firms pursuing exploration and exploitation strategies in terms of innovation should adopt long-term oriented practices that favor risk taking and creativity, thus creating an appropriate organizational context. Competence management was found to have a strong moderating effect on the link between organizational context and innovation ambidexterity. Implications include the need to look at how management may increase innovation ambidexterity, and to chose appropriate combinations of competences and organizational context

Infrared Spectra of NgBeS (Ng = Ne, Ar, Kr, Xe) and BeS₂ in Noble-Gas Matrices

Laser-ablated beryllium atom has been codeposited at 4 K with hydrogen sulfide in excess noble gas matrices. Four noble-gas compounds NgBeS (Ng = Ne, Ar, Kr, Xe) and the BeS₂ molecule are identified on the basis of the S-34 isotopic substitution, DFT and CCSD­(T) theoretical predictions, and a comparison of noble-gas substitution. The agreement between the experimental and calculated vibrational frequencies supports the identification of these molecules. The dissociation energies are calculated at 1.6, 12.6, 10.7, and 13.4 kcal/mol for NeBeS, ArBeS, KrBeS, and XeBeS, respectively, at the CCSD­(T) level. The BeS Lewis acid molecule favors strong chemical binding between the Be and Ng atoms

Preliminary research on the identification system for anthracnose and powdery mildew of sandalwood leaf based on image processing

<div><p>This paper presents a survey on a system that uses digital image processing techniques to identify anthracnose and powdery mildew diseases of sandalwood from digital images. Our main objective is researching the most suitable identification technology for the anthracnose and powdery mildew diseases of the sandalwood leaf, which provides algorithmic support for the real-time machine judgment of the health status and disease level of sandalwood. We conducted real-time monitoring of Hainan sandalwood leaves with varying severity levels of anthracnose and powdery mildew beginning in March 2014. We used image segmentation, feature extraction and digital image classification and recognition technology to carry out a comparative experimental study for the image analysis of powdery mildew, anthracnose disease and healthy leaves in the field. Performing the actual test for a large number of diseased leaves pointed to three conclusions: (1) Distinguishing effects of BP (Back Propagation) neural network method, in all kinds of classical methods, for sandalwood leaf anthracnose and powdery mildew disease are relatively good; the size of the lesion areas were closest to the actual. (2) The differences between two diseases can be shown well by the shape feature, color feature and texture feature of the disease image. (3) Identifying and diagnosing the diseased leaves have ideal results by SVM, which is based on radial basis kernel function. The identification rate of the anthracnose and healthy leaves was 92% respectively, and that of powdery mildew was 84%. Disease identification technology lays the foundation for remote monitoring disease diagnosis, preparing for remote transmission of the disease images, which is a very good guide and reference for further research of the disease identification and diagnosis system in sandalwood and other species of trees.</p></div

Analysis procedures for coefficient of determination approach.

<p>Analysis procedures for coefficient of determination approach.</p

The line graph of segmentation errors corresponding to different thresholds of coefficient of determination for citrus.

<p>The line graph of segmentation errors corresponding to different thresholds of coefficient of determination for citrus.</p

Different sizes of mask and its corresponding foreground images segmented (R² = 0.225).

<p>Different sizes of mask and its corresponding foreground images segmented (R² = 0.225).</p

The scatter of the sugar content against with different image parameters.

<p>The scatter of the sugar content against with different image parameters.</p

Infrared Spectroscopic and Electronic Structure Investigations of Beryllium Halide Molecules, Cations, and Anions in Noble Gas Matrices

Laser-ablated Be atoms, cations, and electrons were reacted with F₂, ClF, Cl₂, NF₃, CCl₄, CF₂Cl₂, HCl, DCl, and SiCl₄ diluted in noble gases. The major products were the dihalides BeF₂, BeClF, BeCl₂, and the hydride chloride HBeCl, whose identities were confirmed by comparison with previous evaporative work, deuterium substitution, and vibrational frequency calculations. The matrix-isolated fundamental frequency of the BeF molecule is higher, and the frequency of BeCl is lower, than that determined for the gas-phase molecules. The BeF⁺ and BeCl⁺ cations formed strong dipole-induced dipole complexes in solid Ne, Ar, Kr, and Xe with stepwise increase in computed noble gas dissociation energies. Going down the family NgBeF⁺ and NgBeCl⁺ series (Ng = Ne, Ar, Kr, Xe) the Mulliken charges q­(Be) decrease, while q­(Ng) increases, and the dipole moments decrease, which suggests covalent bonding in the xenon species. We find that the largest intramatrix shift is Ne to Ar which follows the largest factor increase for the Ng atomic polarizabilities. Extra electrons produce Cl^–, which reacts with HCl to form the stable HCl₂^– anion and possibly with BeCl₂ to give BeCl₃^–. A weak band observed in neon experiments with F₂ is probably due to BeF₃^–

Distribution of residuals for predicting the sugar content.

<p>Distribution of residuals for predicting the sugar content.</p

Table1_m7G-related lncRNAs are potential biomarkers for predicting prognosis and immune responses in patients with oral squamous cell carcinoma.DOC

Among head and neck cancers, oral squamous cell carcinoma (OSCC) is the most common malignant tumor. N-7-methylguanosine (m7G) and lncRNAs are both related to the development and progression of tumors. Therefore, this study aims to explore and establish the prognostic signal of OSCC based on m7G-related lncRNAs. In this study, RNA sequencing transcriptome data of OSCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Therefore, m7G-related lncRNAs were identified as differentially expressed in OSCC. Then, univariate Cox regression analysis and LASSO regression analysis were conducted to evaluate the prognostic significance of differentially expressed lncRNAs. Consequently, the abovementioned lncRNAs were assigned five OSCC patient risk scores, with high-risk and low-risk patients assigned to each group. Different signaling pathways were significantly enriched between the two groups as determined by set enrichment analysis (GSEA). Multivariate Cox regression analysis confirmed the factors used to construct the nomogram model. Then, the prognosis of the nomogram model was evaluated. Consequently, high-risk individuals had higher immune infiltration levels. According to the results of a study that evaluated the sensitivity of different risk subgroups to antitumour drugs, the high-risk group had a high sensitivity to doxorubicin. By performing real-time polymerase chain reaction (RT‒PCR), we verified the expression of these five m7G lncRNAs. Therefore, the model based on five m7G-related lncRNAs was able to predict the overall survival rates of OSCC patients and guide their treatment. It can also spur new ideas about how to prevent and treat OSCC.</p