Data_Sheet_1_Research on the relationship between college students' employability and IT skills training based on mixed research methods.pdf

In the Internet era, there is a mismatch between the skill demands of the IT industry in China and the employment prospects of computer science graduates. The COVID-19 pandemic has particularly highlighted co-existing challenges for industry recruitment and student employment. Many education institutions see IT skills training as a way to solve this conflict. The present paper employs a mixed methods approach to explore factors regarding computer science students' employability. The study used a questionnaire informed by an indepth literature review, full scale development theory and the theory of competency-based education. Reliability analysis and factor analysis methods were used to assess component reliability and structural validity. A total of 323 valid questionnaires were collected and subjected to mean and variance analyses to explore significant differences, including in terms of gender, in student employability. The results show that: (1) employability is divided into nine factors; (2) IT skills training can improve employability; (3) the employability level of computer science students who participate in IT skills training is high; (4) there are significant gender differences in professional ethics, scientific spirit and job-seeking skills, but no significant gender differences in humanistic qualities, computer cognition and operation skills, software design and development skills, system use and innovation skills, sustainable development capacity and teamwork skills. The identification of student employability factors can help education institutions to improve their training and can be used as a standard for students' self-evaluation and selfimprovement. The paper also provides suggestions for education institutions about how to set up IT skills training programmes to enhance students' future employment prospects in the IT industry.</p

Table_1_Research on the relationship between college students' employability and IT skills training based on mixed research methods.XLSX

In the Internet era, there is a mismatch between the skill demands of the IT industry in China and the employment prospects of computer science graduates. The COVID-19 pandemic has particularly highlighted co-existing challenges for industry recruitment and student employment. Many education institutions see IT skills training as a way to solve this conflict. The present paper employs a mixed methods approach to explore factors regarding computer science students' employability. The study used a questionnaire informed by an indepth literature review, full scale development theory and the theory of competency-based education. Reliability analysis and factor analysis methods were used to assess component reliability and structural validity. A total of 323 valid questionnaires were collected and subjected to mean and variance analyses to explore significant differences, including in terms of gender, in student employability. The results show that: (1) employability is divided into nine factors; (2) IT skills training can improve employability; (3) the employability level of computer science students who participate in IT skills training is high; (4) there are significant gender differences in professional ethics, scientific spirit and job-seeking skills, but no significant gender differences in humanistic qualities, computer cognition and operation skills, software design and development skills, system use and innovation skills, sustainable development capacity and teamwork skills. The identification of student employability factors can help education institutions to improve their training and can be used as a standard for students' self-evaluation and selfimprovement. The paper also provides suggestions for education institutions about how to set up IT skills training programmes to enhance students' future employment prospects in the IT industry.</p

1D Nanostructured Na₇V₄(P₂O₇)₄(PO₄) as High-Potential and Superior-Performance Cathode Material for Sodium-Ion Batteries

Tailoring materials into nanostructure offers unprecedented opportunities in the utilization of their functional properties. High-purity Na₇V₄(P₂O₇)₄(PO₄) with 1D nanostructure is prepared as a cathode material for rechargeable Na-ion batteries. An efficient synthetic approach is developed by carefully controlling the crystal growth in the molten sodium phosphate. Based on the XRD, XPS, TG, and morphological characterization, a molten-salt assisted mechanism for nanoarchitecture formation is revealed. The prepared Na₇V₄(P₂O₇)₄(PO₄) nanorod has rectangle sides and preferential [001] growth orientation. GITT evaluation indicates that the sodium de/intercalation of Na₇V₄(P₂O₇)₄(PO₄) nanorod involves V³⁺/V⁴⁺ redox reaction and Na₅V^3.5+₄(P₂O₇)₄(PO₄) as intermediate phase, which results in two pairs of potential plateaus at the equilibrium potentials of 3.8713 V (V³⁺/V^3.5+) and 3.8879 V (V^3.5+/V⁴⁺), respectively. The unique nanoarchitecture of the phase-pure Na₇V₄(P₂O₇)₄(PO₄) facilitates its reversible sodium de/intercalation, which is beneficial to the high-rate capability and the cycling stability. The Na₇V₄(P₂O₇)₄(PO₄) cathode delivers 80% of the capacity (obtained at C/20) at the 10 C rate and 95% of the initial capacity after 200 cycles. Therefore, it is feasible to design and fabricate an advanced rechargeable sodium-ion battery by employment of 1D nanostructured Na₇V₄(P₂O₇)₄(PO₄) as the cathode material

Theoretical Studies on Pd(II)-Catalyzed <i>meta</i>-Selective C–H Bond Arylation of Arenes

Direct C–H arylation of arene is often the most efficient way to construct a biaryl product. However, <i>meta</i>-selective C–H arylation is much less reported than <i>ortho</i> selectivity. In this work, DFT studies have been performed to systematically investigate the factors that may affect the competition between <i>meta</i> and <i>ortho</i> selectivity. Our results suggest that a weak directing group is essential to suppress the commonly observed CMD on <i>ortho</i> position, so that the <i>meta</i> position can be activated by a migratory insertion pathway. In addition, we find that naphthyl substrates are more likely to undergo a migratory insertion due to its significantly lower dearomatization energy, and a more oxidizing metal can promote the migratory insertion pathway by lowering the succeeding reductive deprotonation

Prediction of Intramolecular Charge-Transfer Excitation for Thermally Activated Delayed Fluorescence Molecules from a Descriptor-Tuned Density Functional

The reliability of time-dependent density functional theory (TDDFT) for the calculation of the charge-transfer (CT) excitation energy depends on the proportion of the Hartree–Fock (HF) exchange (α) in a hybrid functional. Here, we develop a new descriptor-tuning methodology to determine the optimal α (OHF) in a hybrid PBE functional (PBEα). The conventional transition-density-based descriptors are shown to be inappropriate to measure the degree of CT for our approach because of the functional-dependence. A new functional-independent descriptor <i>K</i>, defined as the negative growth rate of the exciton binding energy upon α, is then developed and found to be highly correlated with the OHF in the PBEα. Applying the so-called <i>K</i>-OHF method, the lowest singlet excitation energy and singlet–triplet energy splitting of various reported thermally activated delayed fluorescence (TADF) materials are successfully reproduced with mean absolute deviations of 0.07 and 0.09 eV, respectively, compared to the carefully measured experimental data. The <i>K</i>-OHF method provides an easy-using way of choosing reliable density functional for the large CT systems

Computational Studies on Rhodium(III) Catalyzed C–H Functionalization versus Deoxygenation of Quinoline <i>N</i>‑Oxides with Diazo Compounds

Density functional theory calculations have been performed to study the reaction mechanisms for the Rh­(III)-catalyzed C–H functionalization versus deoxygenation of quinoline <i>N</i>-oxide (QNO) with diazo compounds, dimethyl diazomalonate and methyl phenyldiazoacetate. How different diazo compounds affect the reaction pathways has been analyzed and examined in detail. It was found that the stability of the Rh­(III)-carbene intermediates derived from an N₂ extrusion is crucial in determining the preferred reaction pathway

Theoretical Studies on Pd(II)-Catalyzed <i>meta</i>-Selective C–H Bond Arylation of Arenes

Direct C–H arylation of arene is often the most efficient way to construct a biaryl product. However, <i>meta</i>-selective C–H arylation is much less reported than <i>ortho</i> selectivity. In this work, DFT studies have been performed to systematically investigate the factors that may affect the competition between <i>meta</i> and <i>ortho</i> selectivity. Our results suggest that a weak directing group is essential to suppress the commonly observed CMD on <i>ortho</i> position, so that the <i>meta</i> position can be activated by a migratory insertion pathway. In addition, we find that naphthyl substrates are more likely to undergo a migratory insertion due to its significantly lower dearomatization energy, and a more oxidizing metal can promote the migratory insertion pathway by lowering the succeeding reductive deprotonation

Robust and Adaptive Backstepping Control for Hexacopter UAVs

A nonlinear robust and adaptive backstepping control strategy is hierarchically proposed to solve the trajectory tracking problem of hexacopter UAVs. Due to the under-actuated and coupled properties of the hexacopter dynamics, the nominal backstepping control approach is fully designed as the main controller. Considering the model uncertainties and external disturbances perturbing the system stability, a robust 2 nd -order linear extended state observer (LESO) with more reliable velocity feedback is devised to observe and suppress the instabilities, and peaking phenomena in the observation are removed. Usually, large observer gains are selected to reduce the tracking errors but will amplify the measurement noise. To further enhance the system robustness, an adaptive switching function based compensator is introduced to eliminate the observation errors, through which the requirement on large observer gains is relaxed, and high gain behaviors of the LESO are avoided. Stability analysis proves that the nonlinear control scheme can ensure the hexacopter UAV asymptotic tracking along the designated trajectory. Comparative simulations under different controllers are carried out to demonstrate the efficiency and superiority of the proposed control scheme

Correlations.

<p>Correlations between pro-opiomelanocortin (POMC) mRNA expression in the arcuate (Arc) nucleus and (<b>A</b>): percentage of body weight change, (<b>B</b>): visceral adipose tissue, (<b>C</b>): neuropeptide Y (NPY) mRNA expression in the Arc, (<b>D</b>): glutamic acid decarboxylase (GAD₆₅) mRNA expression in the Arc, (<b>E</b>): Arc NPY and GAD₆₅ mRNA expression, (<b>F</b>): cannabinoid CB1 receptor (CB1R) binding density in the dorsal vagal complex (DVC) and percentage of body weight changed, (<b>G</b>): DVC CB1R binding density and visceral adipose tissue, and (<b>H</b>): DVC CB1R binding density and GAD₆₅ mRNA expression, following 14-days olanzapine treatment or vehicle (control). Correlation analyses were made from raw data underlying the graphs presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0033548#pone-0033548-g001" target="_blank">Figures 1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0033548#pone-0033548-g003" target="_blank">3</a>. Key: <>\raster="rg1"<> control, ×0.5 mg/kg, ○ 0.5 mg/kg, □ 1.0 mg/kg, ▵ 2.0 mg/kg olanzapine.</p

Example of CB1R Binding Density Following Olanzapine Treatment.

<p>Example of cannabinoid CB1 receptor binding density (using [³H]SR-141716A) in the <b>A, C:</b> hypothalamic arcuate nucleus and <b>B, D:</b> dorsal vagal complex of the caudal brainstem of female Sprague Dawley rats following <b>A, B:</b> 2.0 mg/kg olanzapine treatment, <b>C, D:</b> vehicle (control) for 14-days (t.i.d.). Autoradiographs are examples of raw data used for the graphs depicted in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0033548#pone-0033548-g003" target="_blank">Figure 3D</a> and are average representations of 6 rats per treatment group.</p