Evidence-based evaluation of safety management in port labor outsourcing

Port enterprises resort to external resources, e.g., outsourcing of labor services during loading and unloading operations. The low safety management ability of labor service enterprises causes frequent hazards and unsafe incidents. This study sets out to identify safety system deficiencies that are likely to occur when port enterprises outsource operations, as well as the causes of system hazards and impact on safety management. A quantitative research design was implemented in this study, where the data were collected through evidence-based practice techniques with the participation of safety management experts selected by purposive sampling. The study reveals six themes that may potentially affect safety. Compared with the extensive supervision and management method, the evidence-based evaluation of the safety management mode brings about a striking optimization effect which results in classification accuracy and targeted control. This finding triggered a management requirement for establishing sustainable, direct, legal measures in association with outsourcing safety improvement.</p

Dispersive temporal holography for single-shot recovering comprehensive ultrafast dynamics

It is critical to characterize the carrier and instantaneous frequency distribution variation in ultrafast processes, all of which are determined by the optical phase. Nevertheless, there is no method that can single-shot record the intro-pulse phase evolution of pico/femtosecond signals, to date. By analogying holographic principle in space to the time domain and using the time-stretch method, we propose the dispersive temporal holography to single-shot recover the phase and amplitude of ultrafast signals. It is a general and comprehensive technology and can be applied to analyze ultrafast signals with highly complex dynamics. The method provides a new powerful tool for exploring ultrafast science, which may benefit many fields, including laser dynamics, ultrafast diagnostics, nonlinear optics, and so on

D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition

Attention-based convolutional neural network (CNN) models are increasingly being adopted for speaker and language recognition (SR/LR) tasks. These include time, frequency, spatial and channel attention, which can focus on useful time frames, frequency bands, regions or channels while extracting features. However, these traditional attention methods lack the exploration of complex information and multi-scale long-range speech feature interactions, which can benefit SR/LR tasks. To address these issues, this paper firstly proposes mixed-order attention (MOA) for low frame-level speech features to gain the finest grain multi-order information at higher resolution. We then combine that with a non-local attention (NLA) mechanism and a dilated residual structure to balance fine grained local detail with convolution from multi-scale long-range time/frequency regions in feature space. The proposed dilated mixed-order non-local attention network (D-MONA) exploits the detail available from the first and the second-order feature attention analysis, but achieves this over a much wider context than purely local attention. Experiments are conducted on three datasets, including two SR tasks of Voxceleb and CN-celeb, and one LR task, NIST LRE 07. For SR, D-MONA improves on ResNet-34 results by at least 29% and 15% for Voxceleb1 and CN-celeb respectively. For the LR task, a large improvement is achieved over ResNet-34 of 21% for the challenging 3s utterance condition, 59% for the 10s condition and 67% for the 30s condition. It also outperforms the state-of-the-art deep bottleneck feature-DNN (DBF-DNN) x-vector system at all scales.</p

Table1_A distribution network planning method based on the integration of operation and planning and coordinated with the transmission network.XLSX

With the increasing integration of renewable energy into the power grid, the traditional roles of the transmission and distribution networks have become less distinct at the operational level. The integration between distribution network planning (DNP) and the transmission and distribution networks operation is crucial to ensure grid stability. Existing research has primarily focused on collaborative operation control between transmission and distribution networks, leaving a gap in integrated DNP, since few works can handle the integer variables. This study proposes a distribution network planning method based on the integration of operation and planning and coordinated with the transmission network. It aims to minimize investment and operational costs while considering local generation units, distributed renewables, and network constraints. Using a heterogeneous decomposition algorithm (HGD), the optimization model alternates between the two networks, assisted by injected parameters for global optimality. A convolutional neural network (CNN) surrogate model is then used to rapidly optimize precise distribution network plans that coordinate with the transmission network. Experimental results on IEEE 30 and IEEE 69 cases demonstrate that the proposed approach offers valuable engineering benefits, reducing iteration counts by up to 20% and improving accuracy compared to other distributed algorithms.</p

Novel thermal conductivity-mixing ratio-temperature mathematic model for forecasting the thermal conductivity of biodiesel-diesel-ethanol blended fuel

To explore the thermal conductivity of diesel-biodiesel-ethanol blended fuel under different temperatures and mixing ratios, three ternary blended fuels, namely, Jatropha/soybean/catering waste oil biodiesel-diesel-ethanol, were prepared. The three biodiesel components were analyzed using gas chromatography-mass spectrometry. A Hot Disk 2500S thermal constant analyzer was used to measure the thermal conductivity of the blended fuels in the temperature range of 20–60°C. Thermal conductivities of the three blended fuels increased with increase in temperature, and the three blended fuels had different thermal conductivities at the same temperature and mixing ratio. This may be attributed to the different contents of unsaturated fatty acid methyl esters in the blended fuels. The optimal mixing ratio was determined to be 80% diesel, 15% biodiesel, and 5% ethanol. Further, a thermal conductivity (λ) forecasting model related to temperature (t) and mixing ratio (w) was established based on experimental results, and its accuracy was evaluated using correlation coefficients and the average absolute percentage error. The value of the correlation coefficient reached 0.9700 for all three blended fuels, and the value of the average absolute percentage error was 0.2738, 0.2823, and 0.8596%, respectively. Thus, the variation of fuel thermal conductivity with temperature and mixing ratio could be accurately predicted. The findings of this study provide insights for designing thermophysical parameters of biodiesel.</p

sj-docx-1-pac-10.1177_18344909241228471 - Supplemental material for You are worth it: Social support buffered the relation between impostor syndrome and suicidal ideation

Supplemental material, sj-docx-1-pac-10.1177_18344909241228471 for You are worth it: Social support buffered the relation between impostor syndrome and suicidal ideation by Ziyi Wei, Yifan Li, Luming Liu, Xinchun Wu, Zhihong Qiao and Wenchao Wang in Journal of Pacific Rim Psychology</p

Sensitive Imaging of Cellular RNA via Cascaded Proximity-Induced Fluorogenic Reactions

Owing to its important biological functions, RNA has become a promising molecular biomarker of various diseases. With a dynamic change in its expression level and a relatively low amount within the complicated biological matrix, signal amplification detection based on DNA probes has been put forward, which is helpful for early diagnosis and prognostic prediction. However, conventional methods are confined to cell lysates or dead cells and are not only time-consuming in sample preparation but also inaccessible to the spatial–temporal information of target RNAs. To achieve live-cell imaging of specific RNAs, both the detection sensitivity and intracellular delivery issues should be addressed. Herein, a new cascaded fluorogenic system based on the combination of hybridization chain reactions (HCRs) and proximity-induced bioorthogonal chemistry is developed, in which a bioorthogonal reaction pair (a tetrazine-quenched dye and its complementary dienophile) is brought into spatial proximity upon target RNA triggering the HCR to turn on and amplify the fluorescence in one step, sensitively indicating the cellular distribution of RNA with minimal false positive results caused by unspecific degradation. Facilitated by a biodegradable carrier based on black phosphorus with high loading capacity and excellent biocompatibility, the resulting imaging platform allows wash-free tracking of target RNAs inside living cells

<i>phox2b-</i>deficient embryos show impaired differentiation of sympathetic neurons in the SCG.

<p>(A–F) Lateral/oblique views of 4-dpf embryos after whole-mount ISH for <i>th</i> (A–C) and <i>dbh</i> (D–F) in control and <i>phox2b</i>–deficient embryos. Arrows indicate the SCG. Knockdown of <i>phox2b</i> by injection of a splice MO (4 ng) (MO^splice) inhibits the expression of <i>th</i> and <i>dbh</i> (B, E) which is rescued by coexpression of human <i>PHOX2B</i> mRNA (10 ng/µl) (C, F). Relative intensity levels of <i>th</i> (G) and <i>dbh</i> (H) expression in embryos injected with <i>phox2b</i> MOs that inhibit translation (MO^ATG) or splicing (MO^splice). Mismatched control MO (MO^mm) and <i>PHOX2B</i> mRNA-rescue (MO^splice/<i>PHOX2B</i>) are also shown. Data are presented as means ± SD (^***P<0.001; ^**P<0.01; n = 15 for each group).</p

Schematic representation of the effect of aberrant Phox2b on sympathetic neuronal development in the zebrafish model.

<p>Phox2b is the master regulator of a differentiation cascade involving <i>Hand2</i>, <i>Gata2/3</i> and <i>Tfap2a</i> that ultimately leads to terminal differentiation of neuron progenitors, marked by <i>dbh</i> and <i>th</i> expression. Phox2b regulates itself as well as <i>ascl1a</i> and can directly activate <i>dbh</i>. A decreased dosage of the <i>phox2b</i> gene, either by allelic deletion (Phox2b KD) or by dominant-negative mutations (<i>676delG</i> or <i>K155X</i>) can compromise normal Phox2b function so that the cells are unable to progress through the various developmental stages and instead remain in an undifferentiated state.</p

C₆₀-Decorated CdS/TiO₂ Mesoporous Architectures with Enhanced Photostability and Photocatalytic Activity for H₂ Evolution

Fullerene (C₆₀) enhanced mesoporous CdS/TiO₂ architectures were fabricated by an evaporation induced self-assembly route together with an ion-exchanged method. C₆₀ clusters were incorporated into the pore wall of mesoporous CdS/TiO₂ with the formation of C₆₀ enhanced CdS/TiO₂ hybrid architectures, for achieving the enhanced photostability and photocatalytic activity in H₂ evolution under visible-light irradiation. Such greatly enhanced photocatalytic performance and photostability could be due to the strong combination and heterojunctions between C₆₀ and CdS/TiO₂. The as-formed C₆₀ cluster protection layers in the CdS/TiO₂ framework not only improve the light absorption capability, but also greatly accelerated the photogenerated electron transfer to C₆₀ clusters for H₂ evolution