A novel decision-making model for selecting a construction project delivery system

It is crucial for the owner of a construction project to select an appropriate project delivery system (PDS) during early decision-making stages of the project. Due to project uncertainty or a lack of project information, the parameters of a PDS are difficult to measure and quantify. Therefore, there are still major challenges to the objective selection of PDSs. This research proposes a novel systematic decision-making model to select the appropriate PDS by using the combination of case-based reasoning (CBR) and robust nonparametric production frontier method. The Bayesian-Structural Equation Modeling (SEM) supported Z-order-m method is interpreted into the case retrieves process of traditional CBR method in order to eliminate the deteriorative internal and external influence for PDS selection. The case study was based on questionnaire survey conducted in China and used to test the validation of the proposed model. The findings reveal that the systematic decision-making model can overcome some problems of the traditional methods and improve the accuracy of PDS selection. As a result, this research has both theoretical and practical implications for the construction industry

In Situ Formation of Crystallographically Oriented Semiconductor Nanowire Arrays via Selective Vaporization for Optoelectronic Applications

Direct transformation of bulk crystals to single-crystalline crystallographically oriented semiconductor nanowire arrays is presented. Real-time imaging during in situ environmental scanning electron microscopy experiment clearly demonstrates that the nanowire arrays form through a selective vaporization process with respect to the crystallography of wurtzite crystals. Due to the high quality of the prepared semiconductor nanowire arrays, photodetectors constructed from them can present superior optoelectronic performances

Serum biochemistry, fatty acids, lipid metabolism, antioxidants, and inflammation response were significantly affected by feeding different marine red yeast supplementation in juvenile tilapia (GIFT strain, Oreochromis niloticus)

Marine red yeast is a good feed additive for the aquaculture industry that can promote the growth of aquatic animals, and significantly improve their antioxidant capacity, survival rate, and nonspecific immune ability of the body. Our hypothesis is that dietary supplementation with marine red yeast could affect the serum biochemistry, muscle composition, muscle fatty acid composition, lipid metabolism enzyme activity, and expression of antioxidant and inflammatory genes in juvenile genetically improved farmed tilapia (GIFT, Oreochromis niloticus). Five diets with different levels of marine red yeast (0 %, 0.25 %, 0.50 %, 0.75 %, and 1.00 %) were used to feed juvenile GIFT (initial weight: 21.12 ± 0.86 g) for 60 days. The main results are as follows: Compared with the control group (0 % marine red yeast), the contents of total protein (TP), albumin (ALB), high-density lipoprotein (HDL), and free fatty acid (FFA) in the serum of juvenile GIFT tilapia significantly increased (P < 0.05), while the contents of glucose (GLU), triglyceride (TG), total cholesterol (T-CHO), low-density lipoprotein (LDL), alanine aminotransferase (ALT) significantly decreased (P < 0.05). The contents of crude protein, crude fat, and docosahexaenoic acid + eicosapentaenoic acid (DHA+EPA) in the muscle significantly increased (P < 0.05), while the contents of moisture and monounsaturated fatty acids (∑MUFAs) significantly decreased (P < 0.05). The activities of acetyl CoA carboxylase α (ACCα), glucose-6-phosphate dehydrogenase (G6PD), and stearoyl-CoA desaturase (SCD) in the liver significantly increased (P < 0.05). The expression levels of catalase (cat), alkaline phosphatase (alp), nuclear factor erythroid 2-related factor 2 (nrf2), lysozyme (lyz), glutathione S-transferase (gst), glutathione peroxidase (gsh-px), and superoxide dismutase (sod) genes in the liver significantly increased (P < 0.05). The expression levels of tumor necrosis factor α (tnf-α), interferon-γ (inf-γ), interleukin 6 (il-6), interleukin 8 (il-8), interleukin 1β (il-1β), and transforming growth factor-β (tgf-β1) genes in the liver, spleens, and head kidney significantly increased (P < 0.05), while the expression level of interleukin 10 (il-10) gene significantly decreased (P < 0.05). In conclusion, the addition of different levels of marine red yeast could significantly affect the serum biochemistry, muscle composition, muscle fatty acid composition, lipid metabolism enzyme activity, and expression of antioxidant and inflammatory genes in juvenile GIFT tilapia. Based on the results, the optimal dietary marine red yeast level was 0.50 %

miR-122 Targets X-Linked Inhibitor of Apoptosis Protein to Sensitize Oxaliplatin-Resistant Colorectal Cancer Cells to Oxaliplatin-Mediated Cytotoxicity

Background/Aims: Although oxaliplatin is one of the most effective chemotherapeutic drugs used to treat colorectal cancer (CRC), long-term administration usually induces acquired drug resistance during the course of treatment. Thus, there is an urgent need to explore novel strategies to improve the efficiency of cancer therapy. The aim of this study was to explore the effect of microRNA-122 (miR-122) on reversing oxaliplatin resistance in CRC. Methods: The expression of miR-122 in CRC cells was examined by quantitative reverse transcriptase real-time PCR. The cytotoxicity of oxaliplatin against CRC cells was evaluated by Cell Counting Kit-8 assays. Mitochondrial membrane potentials and cell apoptotic rates were measured by flow cytometry. Cellular protein expression and interactions were detected by western blot and co-immunoprecipitation. Results: Established oxaliplatin-resistant SW480 and HT29 cells (SW480/OR and HT29/OR) expressed significantly higher levels of X-linked inhibitor of apoptosis protein (XIAP) and lower levels of miR-122 compared with normal SW480 and HT29 cells, respectively. Our results showed that the downregulation of miR-122 was responsible for the overexpression of XIAP in these oxaliplatin-resistant CRC cells. We then found that the recovery of miR-122 expression can sensitize SW480/OR and HT29/OR cells to oxaliplatin-mediated apoptosis through the inhibition of XIAP expression. Conclusion: Upregulation of XIAP in CRC cells is responsible for the acquired resistance to oxaliplatin. Furthermore, miR-122 reversed oxaliplatin resistance in CRC by targeting XIAP

Exceptional capture of methane at low pressure by an iron‐based metal‐organic framework

The selective capture of methane (CH4) at low concentrations and its separation from N2 are extremely challenging owing to the weak host-guest interactions between CH4 molecules and any sorbent material. Here, we report the exceptional adsorption of CH4 at low pressure and efficient separation of CH4/N2 by MFM-300(Fe). MFM-300(Fe) shows a very high uptake for CH4 of 0.85 mmol g−1 at 1 mbar and 298 K and a record CH4/N2 selectivity of 45 for porous solids, representing a new benchmark for CH4 capture and CH4/N2 separation. The excellent separation of CH4/N2 by MFM-300(Fe) has been confirmed by dynamic breakthrough experiments. In situ neutron powder diffraction, and solid-state nuclear magnetic resonance and diffuse reflectance infrared Fourier transform spectroscopies, coupled with modelling, reveal a unique and strong binding of CH4 molecules involving Fe-OH···CH4 and C···phenyl ring interactions within the pores of MFM-300(Fe), thus promoting the exceptional adsorption of CH4 at low pressure

Single-Atom Catalyst Aggregates: Size-Matching is Critical to Electrocatalytic Performance in Sulfur Cathodes

Electrocatalysis is critical to the performance displayed by sulfur cathodes. However, the constituent electrocatalysts and the sulfur reactants have vastly different molecular sizes, which ultimately restrict electrocatalysis efficiency and hamper device performance. Herein, the authors report that aggregates of cobalt single-atom catalysts (SACs) attached to graphene via porphyrins can overcome the challenges associated with the catalyst/reactant size mismatch. Atomic-resolution transmission electron microscopy and X-ray absorption spectroscopy measurements show that the Co atoms present in the SAC aggregates exist as single atoms with spatially resolved dimensions that are commensurate the sulfur species found in sulfur cathodes and thus fully accessible to enable 100% atomic utilization efficiency in electrocatalysis. Density functional theory calculations demonstrate that the Co SAC aggregates can interact with the sulfur species in a synergistic manner that enhances the electrocatalytic effect and promote the performance of sulfur cathodes. For example, Li-S cells prepared from the Co SAC aggregates exhibit outstanding capacity retention (i.e., 505 mA h g(-1) at 0.5 C after 600 cycles) and excellent rate capability (i.e., 648 mA h g(-1) at 6 C). An ultrahigh area specific capacity of 12.52 mA h cm(-2) is achieved at a high sulfur loading of 11.8 mg cm(-2)

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

We introduce the Universal Speech Model (USM), a single large model that performs automatic speech recognition (ASR) across 100+ languages. This is achieved by pre-training the encoder of the model on a large unlabeled multilingual dataset of 12 million (M) hours spanning over 300 languages, and fine-tuning on a smaller labeled dataset. We use multilingual pre-training with random-projection quantization and speech-text modality matching to achieve state-of-the-art performance on downstream multilingual ASR and speech-to-text translation tasks. We also demonstrate that despite using a labeled training set 1/7-th the size of that used for the Whisper model, our model exhibits comparable or better performance on both in-domain and out-of-domain speech recognition tasks across many languages.Comment: 20 pages, 7 figures, 8 table

Whole-genome sequencing of cultivated and wild peppers provides insights into Capsicum domestication and specialization

As an economic crop, pepper satisfies people's spicy taste and has medicinal uses worldwide. To gain a better understanding of Capsicum evolution, domestication, and specialization, we present here the genome sequence of the cultivated pepper Zunla-1 (C. annuum L.) and its wild progenitor Chiltepin (C. annuum var. glabriusculum). We estimate that the pepper genome expanded similar to 0.3 Mya (with respect to the genome of other Solanaceae) by a rapid amplification of retrotransposons elements, resulting in a genome comprised of similar to 81% repetitive sequences. Approximately 79% of 3.48-Gb scaffolds containing 34,476 protein-coding genes were anchored to chromosomes by a high-density genetic map. Comparison of cultivated and wild pepper genomes with 20 resequencing accessions revealed molecular footprints of artificial selection, providing us with a list of candidate domestication genes. We also found that dosage compensation effect of tandem duplication genes probably contributed to the pungent diversification in pepper. The Capsicum reference genome provides crucial information for the study of not only the evolution of the pepper genome but also, the Solanaceae family, and it will facilitate the establishment of more effective pepper breeding programs

SoccerNet 2023 Challenges Results

peer reviewedThe SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadcast video understanding, is composed of three high-level tasks related to describing events occurring in the video broadcasts: (1) action spotting, focusing on retrieving all timestamps related to global actions in soccer, (2) ball action spotting, focusing on retrieving all timestamps related to the soccer ball change of state, and (3) dense video captioning, focusing on describing the broadcast with natural language and anchored timestamps. The second theme, field understanding, relates to the single task of (4) camera calibration, focusing on retrieving the intrinsic and extrinsic camera parameters from images. The third and last theme, player understanding, is composed of three low-level tasks related to extracting information about the players: (5) re-identification, focusing on retrieving the same players across multiple views, (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams, and (7) jersey number recognition, focusing on recognizing the jersey number of players from tracklets. Compared to the previous editions of the SoccerNet challenges, tasks (2-3-7) are novel, including new annotations and data, task (4) was enhanced with more data and annotations, and task (6) now focuses on end-to-end approaches. More information on the tasks, challenges, and leaderboards are available on https://www.soccer-net.org. Baselines and development kits can be found on https://github.com/SoccerNet