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Pulmonary embolism (PE) is a disease caused by blood clots, tumor embolism, and other emboli within the pulmonary arteries. Various scoring scales are used for PE. One such same is the PESI, but it has 12 variables, making it inconvenient for clinical application.The aim of this study was to develop a new simple nomogram model to assess 30-day survival in PE patients. The new nomogram makes it easier and faster for clinicians to assess the prognosis of patients with PE.We collected data about the patients with PE from the Medical Information Mart for Intensive Care-III (MIMIC-III) database and used the receiver operating characteristic (ROC) curve, area under the ROC curve (AUROC), calibration plot, integrated discrimination improvement (IDI), and decision curve analysis (DCA) to evaluate the predictive power of the new model, and compared these with the PESI.According to the multivariable Cox regression model results, alongside the actual clinical conditions, we included the following seven variables: race, bicarbonate, age, tumor, systolic blood pressure (SBP), body temperature, and oxygen saturation (Spo2). The AUROC of the new model was greater than 0.70. Its IDI exceeded 0, but with P-value0.05.The predictive performance of the new model was not worse than the PESI, but the new model only has seven variables, and is therefore more convenient for clinicians to use.

Sustained lipolysis and insulin resistance increase the risk of metabolic dysfunction in dairy cows during the transition period. Proinflammatory cytokines are key regulators of adipose tissue metabolism in nonruminants, but biological functions of these molecules in ruminants are not well known. Thus, the objective of this study was to investigate whether tumor necrosis factor-α (TNF-α) could affect insulin sensitivity and lipolysis in bovine adipocytes as well as the underlying mechanisms. Bovine adipocytes (obtained from the omental and mesenteric adipose depots) isolated from 5 Holstein female calves (1 d old) with similar body weight (median: 36.9 kg, range: 35.5-41.2 kg) were differentiated and used for (1) treatment with different concentrations of TNF-α (0, 0.1, 1, or 10 ng/mL) for 12 h; (2) pretreatment with 10 μM lipolytic agonist isoproterenol (ISO) for 3 h, followed by treatment with or without 10 ng/mL TNF-α for 12 h; and (3) pretreatment with the c-Jun N-terminal kinase (JNK) inhibitor SP600125 (20 μM for 2 h) and nuclear factor kappa B (NF-κB) inhibitor BAY 11-7082 (10 μM for 1 h) followed by treatment with or without 10 ng/mL TNF-α for 12 h. The TNF-α increased glycerol content in supernatant, decreased triglyceride content and insulin-stimulated phosphorylation of protein kinase B suggesting activation of lipolysis and impairment of insulin sensitivity. The TNF-α reduced cell viability, upregulated mRNA abundance of Caspase 3 (CASP3), an apoptosis marker, and increased activity of Caspase 3. In addition, increased phosphorylation of NF-κB and JNK, upregulation of mRNA abundance of interleukin-6 (IL-6), TNFA, and suppressor of cytokine signaling 3 (SOCS3) suggested that TNF-α activated NF-κB and JNK signaling pathways. Furthermore, ISO plus TNF-α-activated NF-κB and JNK signaling pathway to a greater extent than TNF-α alone. Combining TNF-α and ISO aggravated TNF-α-induced apoptosis, insulin insensitivity and lipolysis. In the absence of TNF-α, inhibition of NF-κB and JNK did not alter glycerol content in supernatant, triglyceride content or insulin-stimulated phosphorylation of protein kinase B. In the presence of TNF-α, inhibition of NF-κB and JNK alleviated TNF-α-induced apoptosis, insulin insensitivity and lipolysis. Overall, TNF-α impairs insulin sensitivity and induces lipolysis and apoptosis in bovine adipocytes, which may be partly mediated by activation of NF-κB and JNK. Thus, the data suggested that NF-κB and JNK are potential therapeutic targets for alleviating lipolysis dysregulation and insulin resistance in adipocytes.

New roads are being constructed all the time. However, the capabilities of previous deep forecasting models to generalize to new roads not seen in the training data (unseen roads) are rarely explored. In this paper, we introduce a novel setup called a spatio-temporal (ST) split to evaluate the models' capabilities to generalize to unseen roads. In this setup, the models are trained on data from a sample of roads, but tested on roads not seen in the training data. Moreover, we also present a novel framework called Spatial Contrastive Pre-Training (SCPT) where we introduce a spatial encoder module to extract latent features from unseen roads during inference time. This spatial encoder is pre-trained using contrastive learning. During inference, the spatial encoder only requires two days of traffic data on the new roads and does not require any re-training. We also show that the output from the spatial encoder can be used effectively to infer latent node embeddings on unseen roads during inference time. The SCPT framework also incorporates a new layer, named the spatially gated addition (SGA) layer, to effectively combine the latent features from the output of the spatial encoder to existing backbones. Additionally, since there is limited data on the unseen roads, we argue that it is better to decouple traffic signals to trivial-to-capture periodic signals and difficult-to-capture Markovian signals, and for the spatial encoder to only learn the Markovian signals. Finally, we empirically evaluated SCPT using the ST split setup on four real-world datasets. The results showed that adding SCPT to a backbone consistently improves forecasting performance on unseen roads. More importantly, the improvements are greater when forecasting further into the future., 25 pages, 7 figures

Introduction: Chuanxiong, a traditional Chinese medicine, has been proved to treat a variety of cardiovascular and cerebrovascular diseases by promoting angiogenesis. However, the mechanisms of Chuanxiong’s pro-angiogenesis is currently unknown. This study aimed to uncover the effect and mechanisms of Chuanxiong promoting angiogenesis in vivo and in vitro.Methods: First, potential targets were predicted by network pharmacology analysis, and PPI network was established and the pathways were enriched. Then, the chorioallantoic membrane test on quails was applied to assess the proangiogenic effects in vivo. As well, to evaluate the effects in vitro, real-time PCR, western blot analysis, the scratch test, and the tube formation experiment were used. Subsequently, the major metabolic pathways were analyzed using non-targeted metabolomics.Results: As a result of network pharmacological analysis, 51 collective targets of Chuanxiong and angiogenesis were identified, which are mainly associated with PI3K/AKT/Ras/MAPK pathway. And the biological verification results showed that Chuanxiong could increase the vessel numbers and vessel area in qCAM models. Meanwhile, Chuanxiong contributed to HUVEC proliferation, tube formation, migration, by encouraging scratch healing rates and boosting tube branch points. In addition, the levels of VEGFR2, MAPK and PI3K were elevated compared to the control group. The western blot analysis also confirmed Chuanxiong could promote an increase in AKT, FOXO1 and Ras. Furtheremore, metabolomic results showed that the proangiogenic effect of Chuanxiong is associated with glycine, serine and threonine metabolism.Discussion: In conclusion, this study clarified that Chuanxiong could promote angiogenesis in vivo and in vitro via regulating PI3K/AKT/Ras/MAPK pathway.

Senescence is a complex cellular process that is implicated in various physiological and pathological processes. It is characterized by a stable state of cell growth arrest and by a secretome of diverse pro-inflammatory factors, chemokines and growth factors. In this review, we summarize the context-dependent role of cellular senescence in ageing and in age-related diseases, such as cancer. We discuss current approaches to targeting senescence to develop therapeutic strategies to combat cancer and to promote healthy ageing, and we outline our vision for future research directions for senescence-based interventions in these fields.

Luminogens with aggregation-induced emission (AIEgens) have a wide range of biomedical applications in bioimaging, photodynamic anticancer, antibacterial therapy, and other fields, owing to their u...

In the context of mobile sensing environments, various sensors on mobile devices continually generate a vast amount of data. Analyzing this ever-increasing data presents several challenges, including limited access to annotated data and a constantly changing environment. Recent advancements in self-supervised learning have been utilized as a pre-training step to enhance the performance of conventional supervised models to address the absence of labelled datasets. This research examines the impact of using a self-supervised representation learning model for time series classification tasks in which data is incrementally available. We proposed and evaluated a workflow in which a model learns to extract informative features using a corpus of unlabeled time series data and then conducts classification on labelled data using features extracted by the model. We analyzed the effect of varying the size, distribution, and source of the unlabeled data on the final classification performance across four public datasets, including various types of sensors in diverse applications., 6 pages, accepted in the 24th IEEE International Conference on Mobile Data Management (MDM2023)

PurposeTo explore the characteristics, mechanism, treatment, and prognosis of head–neck separation type of Monteggia equivalent fractures in children.MethodsPatients with this injury were reviewed retrospectively. The lesion was characterized by a fracture of the ulnar with radial neck fracture but without dislocation of the radial head. Our classification was based on the direction of displacement and angulation of fractures on radiographs, divided into the extension-valgus type and flexion-varus type. The fractures were treated with reduction and internal fixation, depending on the fracture type. The clinical results were evaluated by using radiology and the Mayo Elbow Performance Score (MEPS).ResultsA total of 12 patients were followed up for an average of 40.5 months. The ulnar fractures were treated with closed reduction (CR) and K-wire fixation in one patient, elastic stable intramedullary nail (ESIN) fixation in four patients, open reduction (OR) and plate fixation in five, with no fixation in two. CR with ESIN fixation was successful in 11 patients with radial neck fractures, but one underwent OR and K-wire fixation. All fractures healed on time, with fewer complications (avascular necrosis in one patient, and bulk formation of metaphysis in another). The therapeutic efficacy was evaluated by using MEPS and was found to be excellent in 10 patients, good in one, and fair in another.ConclusionsThe head–neck separation type of Monteggia equivalent fractures in children is rare. Its characteristics are different from that of Monteggia fracture. The length and anatomic structure of the ulna should be restored and stabilized first, while the radial neck fracture should be treated with CR and ESIN fixation. Satisfactory clinical results can be achieved with fewer complications.

About 15% of human cancer cases are attributed to viral infections. To date, virus expression in tumor tissues has been mostly studied by aligning tumor RNA sequencing reads to databases of known viruses. To allow identification of divergent viruses and rapid characterization of the tumor virome, we develop viRNAtrap, an alignment-free pipeline to identify viral reads and assemble viral contigs. We utilize viRNAtrap, which is based on a deep learning model trained to discriminate viral RNAseq reads, to explore viral expression in cancers and apply it to 14 cancer types from The Cancer Genome Atlas (TCGA). Using viRNAtrap, we uncover expression of unexpected and divergent viruses that have not previously been implicated in cancer and disclose human endogenous viruses whose expression is associated with poor overall survival. The viRNAtrap pipeline provides a way forward to study viral infections associated with different clinical conditions.

Background Hypoxia is a hallmark of cancer, and is closely intertwined with tumor immune evasion. Circular RNAs (circRNAs) have been implicated in tumor response to immune checkpoint blockades. However, hypoxia-associated circRNAs that orchestrate the association between hypoxia and response to immunotherapy remain poorly understood. Here, we aimed to determine the roles of hypoxia-associated circRNAs in immune escape of hepatocellular carcinoma (HCC) cells. Methods Differentially expressed hypoxia-associated circRNAs were determined using high-throughput sequencing technology. HCC patients treated with PD-1 blockade were enrolled to assess the clinical significance of circPRDM4. RT-qPCR, western blotting, flow cytometry, T cell-mediated tumor cell killing assay, and enzyme linked immunosorbent assay were used to investigate the roles of circPRDM4 in immune escape of HCC cells in vitro. Patient-derived xenograft mouse models and adoptive human tumor infiltrating lymphocyte-CD8+ T cell transfer were adopted to evaluate the effects of circPRDM4 in vivo. RNA pull-down, mass spectrometry, RNA immunoprecipitation, chromatin immunoprecipitation, chromatin isolation by RNA purification, dual-luciferase reporter assays, dot blotting, DNA in situ hybridization, and immunoprecipitation were utilized to examine the interaction between circPRDM4, HIF-1α, and CD274 promoter. Results We identified circPRDM4 as a hypoxia-associated circRNA in HCC. circPRDM4 was upregulated in responders to PD-1 blockade and associated with therapeutic efficacy. In vitro and in vivo experiments showed that circPRDM4 induced PD-L1 expression and promoted CD8+ T cell-mediated immune escape under hypoxic conditions. Mechanistically, circPRDM4 acted as a scaffold to recruit HIF-1α onto CD274 promoter, and cemented their interaction, ultimately promoting the HIF-1α-mediated transactivation of PD-L1. Conclusions These findings illustrated that circPRDM4 promoted immune escape of HCC cells by facilitating the recruitment of HIF-1α onto the promoter of CD274 under hypoxia, thereby inhibiting CD8+ T cell infiltration in the tumor microenvironment. This work may provide a novel prognostic biomarker and therapeutic candidate for HCC immunotherapy.

Timely detection and maintenance of smart electricity meter faults are essential for smart grid systems, but there is no high-accurate algorithm to detect the meter fault yet. So, in this paper, we propose a deep learning algorithm to detect the fault of the smart electricity meter. Our algorithm is based on a 1D convolution twin network, which can distinguish the meter data of different fault types with high precision. To realize the fault detection task, we design a twin classifier for counting the number of matches between the data to be predicted and each type of known data and select the type with the most counts as the predicted type. Our algorithm automatically detects the fault of the smart electricity meter while its accuracy reaches 94.52%, which can significantly improve the maintenance efficiency of the fault detection.

The skin-like wound dressings are developed for skin regeneration. The on-demand release of antibacterial peptides and the subsequent in situ self-assembly realize both good biosafety and high-efficiency antibacterial efficacy.

The current study was aimed to examine the effect of grape seed proanthocyanidin extract (GSPE) on regulating lipid metabolism of American eels. A total of six cement tanks of fish were randomly divided into a control group fed with a commercial diet and a GSPE group fed with a commercial diet supplemented 400 mg/kg GSPE. There were three replicates in each group. Results suggested that GSPE could decrease the levels of total cholesterol, triglycerides, and low-density lipoprotein cholesterol, and increase the high-density lipoprotein cholesterol level in serum. GSPE might regulate lipid metabolism through upregulating linoleic acid metabolism and arachidonic acid metabolism along with downregulating metabolisms of phenylalanine, tyrosine, and tryptophan biosynthesis and valine, leucine, and isoleucine biosynthesis.

Brachyplatycerus chinensis Zu, sp. nov. (Figs. 1–5) Type material. Holotype. ♀ [on slide], CHINA, Guangxi province, Qinzhou City, Beibu Gulf University, 21° 53′ 53′′ N, 108° 36′ 56′′ E, 24m, 2019.3.18 –26, Wenquan Zhen, Malaise trapping. Deposited in TJAU. Paratypes. 5 ♀ [1 ♀ on slide, 4 ♀ in 99% ethanol], same data as holotype (TJAU). Diagnosis. Female. Length, excluding ovipositor, 0.86–0.98 mm. Body generally dark brown with bluepurple metallic luster; scape apically and most of flagellum yellowish; fore wing infuscate in basal half. Head with frontovertex very wide, 0.45× head width; malar space 0.64× as long as eye height; ocelli forming an obtuse triangle; antenna with scape broadened and flattened, 2× as long as broad; funicle 4-segmented, F1-F2 obviously shorter than F3-F4; clava 3-segment, slightly longer than funicle. Fore wing 2.09× as long as broad; mid tibial spur shorter than mid basitarsus; ovipositor 0.52× as long as mid tibia. Description. Female. Holotype. Length, 0.93 mm (excluding ovipositor). Body generally dark brown; head, mesonotum and mesoscutellum with blue-purple metallic luster; scape and pedicel apically yellowish, flagellum yellowish except F4, first segment basally and third segments of clava light brown; fore wing infuscate in basal half; legs dark brown except all tibiae apically and all tarsi yellowish. Head with frontovertex (Fig. 1) sparsely setose, each about as long as the diameter of median ocellus; eyes densely setose, setae dark brown, and each seta 2× as long as the diameter of an eye facet. Head in frontal view 0.79× as broad as high; frontovertex 0.45× head width, smooth without sculpture; ocelli forming an angle of 120°; posterior ocellus nearly touching eye margins and also very close to occipital margin; eye height 1.66× as long as malar space; occipital margin carinate; antennal toruli with their dorsal margins below ventral eye margins, and separated from mouth margin by about their own length; mandible with two sharp teeth; palpal formula 4–3. Antenna (Fig. 2) with scape broadened and flattened, 2× as long as broad; pedicel 1.43× as long as wide, longer than first two funicle segments combined; funicle 4-segment, F1 and F2 distinctly smaller than F3 or F4, and F2 smallest; linear sensilla on F3, F4 and clava; clava 3-segment, 1.74× as long as broad and slightly longer than funicle, sensory area small, forming an oblique apical truncation. Measurements (holotype, μm): head height, 300; head width, 380; frontovertex width, 170; eye height, 188; malar space, 113; OD, 30; AOL, 65; OOL, 3; OCL, 8; POL, 133; length and (width)—scape, 123 (61); pedicel, 50 (35); F1, 23 (28); F2, 20 (33); F3, 33 (35); F4, 35 (40); clava, 118 (68). Mesosoma (Fig. 3) with sparse conspicuous long setae on pronotum, mesoscutum and mesoscutellum. Mesoscutum with 30–35 setae; mesoscutellum with 16–18 setae; mesoscutum with shallow polygonal sculpture, and the same on mesoscutellum but shallower, and the apex nearly smooth; mesoscutum 0.45× as long as broad; mesoscutellum 0.95× as long as broad. Fore wing (Fig. 4) 2.09× as long as broad; linea calva not interrupted and open posteriorly; costal cell with one complete row of setae; marginal vein punctiform, shorter than stigmal vein; postmarginal very short, nearly absent; hind wing 4.58× as long as broad. Mid tibial spur (Fig. 5) 0.28× as long as mid tibia and shorter than mid basitarsus. Measurements (holotype, μm): fore wing length, 710; fore wing width, 340; submarginal vein, 260; marginal vein, 20; postmarginal vein, 3; stigmal vein, 23; hind wing length, 550; hind wing width, 120; mid tibia, 230; mid tibial spur, 65; mid basitarsus, 73. Metasoma about as long as mesosoma (in 99% ethanol); ovipositor 0.80× as long as mid tibia, slightly exserted; hypopygium extending to apex of gaster. Measurements (holotype, μm): ovipositor length, 185. Male. Unknown. Variation. Length of female, excluding ovipositor, varies from 0.86–0.98 mm, otherwise very little variation in examined material. Host. Unknown. Etymology. The specific name refers to the new species being collected from China. Comments. Based on the original description (De Santis 1972), the new species can be easily separated from B. minutus as follows: fore wing 2.09× as long as broad and only infuscate at the base (almost 3× and uniformly infuscate in minutus); postmarginal vein nearly absent (postmarginal vein as long as marginal vein in minutus); scape dark brown, only apically light (scape with a median longitudinal light band in minutus); gena dark brown, the same as the rest of head (lighter than other parts of head in minutus).

Brachyplatycerus chinensis Zu, sp. nov. (Figs. 1–5) Type material. Holotype. ♀ [on slide], CHINA, Guangxi province, Qinzhou City, Beibu Gulf University, 21° 53′ 53′′ N, 108° 36′ 56′′ E, 24m, 2019.3.18 –26, Wenquan Zhen, Malaise trapping. Deposited in TJAU. Paratypes. 5 ♀ [1 ♀ on slide, 4 ♀ in 99% ethanol], same data as holotype (TJAU). Diagnosis. Female. Length, excluding ovipositor, 0.86–0.98 mm. Body generally dark brown with bluepurple metallic luster; scape apically and most of flagellum yellowish; fore wing infuscate in basal half. Head with frontovertex very wide, 0.45× head width; malar space 0.64× as long as eye height; ocelli forming an obtuse triangle; antenna with scape broadened and flattened, 2× as long as broad; funicle 4-segmented, F1-F2 obviously shorter than F3-F4; clava 3-segment, slightly longer than funicle. Fore wing 2.09× as long as broad; mid tibial spur shorter than mid basitarsus; ovipositor 0.52× as long as mid tibia. Description. Female. Holotype. Length, 0.93 mm (excluding ovipositor). Body generally dark brown; head, mesonotum and mesoscutellum with blue-purple metallic luster; scape and pedicel apically yellowish, flagellum yellowish except F4, first segment basally and third segments of clava light brown; fore wing infuscate in basal half; legs dark brown except all tibiae apically and all tarsi yellowish. Head with frontovertex (Fig. 1) sparsely setose, each about as long as the diameter of median ocellus; eyes densely setose, setae dark brown, and each seta 2× as long as the diameter of an eye facet. Head in frontal view 0.79× as broad as high; frontovertex 0.45× head width, smooth without sculpture; ocelli forming an angle of 120°; posterior ocellus nearly touching eye margins and also very close to occipital margin; eye height 1.66× as long as malar space; occipital margin carinate; antennal toruli with their dorsal margins below ventral eye margins, and separated from mouth margin by about their own length; mandible with two sharp teeth; palpal formula 4–3. Antenna (Fig. 2) with scape broadened and flattened, 2× as long as broad; pedicel 1.43× as long as wide, longer than first two funicle segments combined; funicle 4-segment, F1 and F2 distinctly smaller than F3 or F4, and F2 smallest; linear sensilla on F3, F4 and clava; clava 3-segment, 1.74× as long as broad and slightly longer than funicle, sensory area small, forming an oblique apical truncation. Measurements (holotype, μm): head height, 300; head width, 380; frontovertex width, 170; eye height, 188; malar space, 113; OD, 30; AOL, 65; OOL, 3; OCL, 8; POL, 133; length and (width)—scape, 123 (61); pedicel, 50 (35); F1, 23 (28); F2, 20 (33); F3, 33 (35); F4, 35 (40); clava, 118 (68). Mesosoma (Fig. 3) with sparse conspicuous long setae on pronotum, mesoscutum and mesoscutellum. Mesoscutum with 30–35 setae; mesoscutellum with 16–18 setae; mesoscutum with shallow polygonal sculpture, and the same on mesoscutellum but shallower, and the apex nearly smooth; mesoscutum 0.45× as long as broad; mesoscutellum 0.95× as long as broad. Fore wing (Fig. 4) 2.09× as long as broad; linea calva not interrupted and open posteriorly; costal cell with one complete row of setae; marginal vein punctiform, shorter than stigmal vein; postmarginal very short, nearly absent; hind wing 4.58× as long as broad. Mid tibial spur (Fig. 5) 0.28× as long as mid tibia and shorter than mid basitarsus. Measurements (holotype, μm): fore wing length, 710; fore wing width, 340; submarginal vein, 260; marginal vein, 20; postmarginal vein, 3; stigmal vein, 23; hind wing length, 550; hind wing width, 120; mid tibia, 230; mid tibial spur, 65; mid basitarsus, 73. Metasoma about as long as mesosoma (in 99% ethanol); ovipositor 0.80× as long as mid tibia, slightly exserted; hypopygium extending to apex of gaster. Measurements (holotype, μm): ovipositor length, 185. Male. Unknown. Variation. Length of female, excluding ovipositor, varies from 0.86–0.98 mm, otherwise very little variation in examined material. Host. Unknown. Etymology. The specific name refers to the new species being collected from China. Comments. Based on the original description (De Santis 1972), the new species can be easily separated from B. minutus as follows: fore wing 2.09× as long as broad and only infuscate at the base (almost 3× and uniformly infuscate in minutus); postmarginal vein nearly absent (postmarginal vein as long as marginal vein in minutus); scape dark brown, only apically light (scape with a median longitudinal light band in minutus); gena dark brown, the same as the rest of head (lighter than other parts of head in minutus)., Published as part of Zhen, Wenquan, Xue, Hao, Zu, Guohao & Zhang, Lianzhong, 2023, First report of Brachyplatycerus De Santis (Hymenoptera, Encyrtidae) from China, with description of a new species, pp. 179-182 in Zootaxa 5231 (2) on pages 180-182, DOI: 10.11646/zootaxa.5231.2.4, http://zenodo.org/record/7575360, {"references":["De Santis, L. (1972) Adiciones a la fauna argentina de encirtidos. III. (Hymenoptera: Chalcidoidea). Revista Peruana de Entomologia, 15, 44 - 64."]}

Trajectory prediction is an important task to support safe and intelligent behaviours in autonomous systems. Many advanced approaches have been proposed over the years with improved spatial and temporal feature extraction. However, human behaviour is naturally multimodal and uncertain: given the past trajectory and surrounding environment information, an agent can have multiple plausible trajectories in the future. To tackle this problem, an essential task named multimodal trajectory prediction (MTP) has recently been studied, which aims to generate a diverse, acceptable and explainable distribution of future predictions for each agent. In this paper, we present the first survey for MTP with our unique taxonomies and comprehensive analysis of frameworks, datasets and evaluation metrics. In addition, we discuss multiple future directions that can help researchers develop novel multimodal trajectory prediction systems.

Supplementary Material 1

Strategies to reduce the overpotential of 1D silicon nanostructured photoelectrodes for solar hydrogen generation: co-catalysts to improve the reaction kinetics, hetero- and homo-junctions to improve carrier collection and enhance photovoltage.

Supplementary Material 1

A road network, in the context of traffic forecasting, is typically modeled as a graph where the nodes are sensors that measure traffic metrics (such as speed) at that location. Traffic forecasting is interesting because it is complex as the future speed of a road is dependent on a number of different factors. Therefore, to properly forecast traffic, we need a model that is capable of capturing all these different factors. A factor that is missing from the existing works is the node interactions factor. Existing works fail to capture the inter-node interactions because none are using the message-passing flavor of GNN, which is the one best suited to capture the node interactions This paper presents a plausible scenario in road traffic where node interactions are important and argued that the most appropriate GNN flavor to capture node interactions is message-passing. Results from real-world data show the superiority of the message-passing flavor for traffic forecasting. An additional experiment using synthetic data shows that the message-passing flavor can capture inter-node interaction better than other flavors., Comment: 18 pages, 5 figures

Forecasting building energy usage is essential for promoting sustainability and reducing waste, as it enables building managers to optimize energy consumption and reduce costs. This importance is magnified during anomalous periods, such as the COVID-19 pandemic, which have disrupted occupancy patterns and made accurate forecasting more challenging. Forecasting energy usage during anomalous periods is difficult due to changes in occupancy patterns and energy usage behavior. One of the primary reasons for this is the shift in distribution of occupancy patterns, with many people working or learning from home. This has created a need for new forecasting methods that can adapt to changing occupancy patterns. Online learning has emerged as a promising solution to this challenge, as it enables building managers to adapt to changes in occupancy patterns and adjust energy usage accordingly. With online learning, models can be updated incrementally with each new data point, allowing them to learn and adapt in real-time. Another solution is to use human mobility data as a proxy for occupancy, leveraging the prevalence of mobile devices to track movement patterns and infer occupancy levels. Human mobility data can be useful in this context as it provides a way to monitor occupancy patterns without relying on traditional sensors or manual data collection methods. We have conducted extensive experiments using data from six buildings to test the efficacy of these approaches. However, deploying these methods in the real world presents several challenges., Comment: 15 pages, 3 figures, ECML PKDD ADS 2023

Background: The coronavirus disease 2019 (COVID-19) pandemic has induced a significant global concern on mental health. However few studies have measured the ability of individuals to “withstand setbacks, adapt positively, and bounce back from adversity” on a global scale. We aimed to examine the level of resilience, its determinants, and its association with maladaptive coping behaviours during the pandemic. Methods The Association of Pacific Rim Universities (APRU) conducted a global survey involving 26 countries by online, self-administered questionnaire (October 2020-December 2021). It was piloted-tested and validated by an expert panel of epidemiologists and primary care professionals. We collected data on socio-demographics, socioeconomic status, clinical information, lifestyle habits, and resilience levels measured by the Brief Resilience Scale (BRS) among adults aged ≥ 18 years. We examined factors associated with low resilience level, and evaluated whether low resilience was correlated with engagement of maladaptive coping behaviours. Results From 1,762 surveys, the prevalence of low resilience level (BRS score 1.00–2.99) was 36.4% (America/Europe) and 24.1% (Asia Pacific). Young age (18–29 years; adjusted odds ratio [aOR] = 0.31–0.58 in older age groups), female gender (aOR = 1.72, 95% C.I. = 1.34–2.20), poorer financial situation in the past 6 months (aOR = 2.32, 95% C.I. = 1.62–3.34), the presence of one (aOR = 1.56, 95% C.I. = 1.19–2.04) and more than two (aOR = 2.32, 95% C.I. = 1.59–3.39) medical conditions were associated with low resilience level. Individuals with low resilience were significantly more likely to consume substantially more alcohol than usual (aOR = 3.84, 95% C.I. = 1.62–9.08), take considerably more drugs (aOR = 12.1, 95% C.I. = 2.72–54.3), buy supplements believed to be good for treating COVID-19 (aOR = 3.34, 95% C.I. = 1.56–7.16), exercise less than before the pandemic (aOR = 1.76, 95% C.I. = 1.09–2.85), consume more unhealthy food than before the pandemic (aOR = 2.84, 95% C.I. = 1.72–4.67), self-isolate to stay away from others to avoid infection (aOR = 1.83, 95% C.I. = 1.09–3.08), have an excessive urge to disinfect hands for avoidance of disease (aOR = 3.08, 95% C.I. = 1.90–4.99) and transmission (aOR = 2.54, 95% C.I. = 1.57–4.10). Conclusions We found an association between low resilience and maladaptive coping behaviours in the COVID-19 pandemic. The risk factors identified for low resilience in this study were also conditions known to be related to globalization-related economic and social inequalities. Our findings could inform design of population-based, resilience-enhancing intervention programmes.

For the stochastic gravitational wave backgrounds (SGWBs) search centred at the milli-Hz band, the galactic foreground produced by white dwarf binaries (WDBs) within the Milky Way contaminates the extra-galactic signal severely. Because of the anisotropic distribution pattern of the WDBs and the motion of the spaceborne gravitational wave interferometer constellation, the time-domain data stream will show an annual modulation. This property is fundamentally different from those of the SGWBs. In this Letter, we propose a new filtering method for the data vector based on the annual modulation phenomenon. We apply the resulted inverse variance filter to the LISA data challenge. The result shows that for the weaker SGWB signal, such as energy density $\Omega_{\rm astro}=1\times10^{-12}$, the filtering method can enhance the posterior distribution peak prominently. For the stronger signal, such as $\Omega_{\rm astro}=3\times10^{-12}$, the method can improve the Bayesian evidence from `substantial' to `strong' against null hypotheses. This method is model-independent and self-contained. It does not ask for other types of information besides the gravitational wave data., Comment: 6 pages, 5 figures

Ordinary Differential Equations (ODE)-based models have become popular foundation models to solve many time-series problems. Combining neural ODEs with traditional RNN models has provided the best representation for irregular time series. However, ODE-based models require the trajectory of hidden states to be defined based on the initial observed value or the last available observation. This fact raises questions about how long the generated hidden state is sufficient and whether it is effective when long sequences are used instead of the typically used shorter sequences. In this article, we introduce CrossPyramid, a novel ODE-based model that aims to enhance the generalizability of sequences representation. CrossPyramid does not rely only on the hidden state from the last observed value; it also considers ODE latent representations learned from other samples. The main idea of our proposed model is to define the hidden state for the unobserved values based on the non-linear correlation between samples. Accordingly, CrossPyramid is built with three distinctive parts: (1) ODE Auto-Encoder to learn the best data representation. (2) Pyramidal attention method to categorize the learned representations (hidden state) based on the relationship characteristics between samples. (3) Cross-level ODE-RNN to integrate the previously learned information and provide the final latent state for each sample. Through extensive experiments on partially-observed synthetic and real-world datasets, we show that the proposed architecture can effectively model the long gaps in intermittent series and outperforms state-of-the-art approaches. The results show an average improvement of 10\% on univariate and multivariate datasets for both forecasting and classification tasks.

About 15% of human cancer cases are attributed to viral infections. To date, virus expression in tumor tissues has been mostly studied by aligning tumor RNA sequencing reads to databases of known viruses. To allow identification of divergent viruses and rapid characterization of the tumor virome, we developed viRNAtrap, an alignment-free pipeline to identify viral reads and assemble viral contigs. We apply viRNAtrap, which is based on a deep learning model trained to discriminate viral RNAseq reads, to 14 cancer types from The Cancer Genome Atlas (TCGA). We find that expression of exogenous cancer viruses is associated with better overall survival. In contrast, expression of human endogenous viruses is associated with worse overall survival. Using viRNAtrap, we uncover expression of unexpected and divergent viruses that have not previously been implicated in cancer. The viRNAtrap pipeline provides a way forward to study viral infections associated with different clinical conditions.

Therapeutic peptides have been widely concerned, but their efficacy is limited by the inability to penetrate cell membranes, which is a key bottleneck in peptide drugs delivery. Herein, an in vivo self-assembly strategy is developed to induce phase separation of cell membrane that improves the peptide drugs internalization. A phosphopeptide KYp is synthesized, containing an anticancer peptide [KLAKLAK]2 (K) and a responsive moiety phosphorylated Y (Yp). After interacting with alkaline phosphatase (ALP), KYp can be dephosphorylated and self-assembles in situ, which induces the aggregation of ALP and the protein-lipid phase separation on cell membrane. Consequently, KYp internalization is 2-fold enhanced compared to non-responsive peptide, and IC50 value of KYp is approximately 5 times lower than that of free peptide. Therefore, the in vivo self-assembly induced phase separation on cell membrane promises a new strategy to improve the drug delivery efficacy in cancer therapy.

Background Improved prognostic prediction is needed to stratify patients with early hepatocellular carcinoma (EHCC) to refine selection of adjuvant therapy. We aimed to develop a machine learning (ML)-based model to predict survival after liver resection for EHCC based on readily available clinical data. Methods We analyzed data of surgically resected EHCC (tumor≤5 cm without evidence of extrahepatic disease or major vascular invasion) patients from the Surveillance, Epidemiology, and End Results (SEER) Program to train and internally validate a gradient-boosting ML model to predict disease‐specific survival (DSS). We externally tested the ML model using data from 2 Chinese institutions. Patients treated with resection were matched by propensity score to those treated with transplantation in the SEER-Medicare database. Results A total of 2778 EHCC patients treated with resection were enrolled, divided into 1899 for training/validation (SEER) and 879 for test (Chinese). The ML model consisted of 8 covariates (age, race, alpha-fetoprotein, tumor size, multifocality, vascular invasion, histological grade and fibrosis score) and predicted DSS with C-Statistics >0.72, better than proposed staging systems across study cohorts. The ML model could stratify 10-year DSS ranging from 70% in low-risk subset to 5% in high-risk subset. Compared with low-risk subset, no remarkable survival benefits were observed in EHCC patients receiving transplantation before and after propensity score matching. Conclusion An ML model trained on a large-scale dataset has good predictive performance at individual scale. Such a model is readily integrated into clinical practice and will be valuable in discussing treatment strategies., Graphical Abstract

Apolipoprotein A-1 (ApoA-1), the major apolipoprotein of high-density lipoprotein, plays anti-atherogenic role in cardiovascular diseases and exerts anti-inflammation effect in various inflammatory and infectious diseases. However, the role and mechanism of ApoA-1 in hepatic ischaemia-reperfusion (I/R) injury is unknown.In this study, we measured ApoA-1 expression in human liver grafts after transplantation. Mice partial hepatic I/R injury model was made in ApoA-1 knockout mice, ApoA-1 mimetic peptide D-4F treatment mice and corresponding control mice to examine the effect of ApoA-1 on liver damage, inflammation response and cell death. Primary hepatocytes and macrophages were isolated for in vitro study.The results showed that ApoA-1 expression was down-regulated in human liver grafts after transplantation and mice livers subjected to hepatic I/R injury. ApoA-1 deficiency aggravated liver damage and inflammation response induced by hepatic I/R injury. Interestingly, we found that ApoA-1 deficiency increased pyroptosis instead of apoptosis during acute phase of hepatic I/R injury, which mainly occurred in macrophages rather than hepatocytes. The inhibition of pyroptosis compensated for the adverse impact of ApoA-1 deficiency. Furthermore, the up-regulated pyroptosis process was testified to be mediated by ApoA-1 through TLR4-NF-κB pathway and TLR4 inhibition significantly improved hepatic I/R injury. In addition, we confirmed that D-4F ameliorated hepatic I/R injury.Our study has identified the protective role of ApoA-1 in hepatic I/R injury through inhibiting pyroptosis in macrophages via TLR4-NF-κB pathway. The effect of ApoA-1 may provide a novel therapeutic approach for hepatic I/R injury.

As a functional feed additive, grape seed proanthocyanidin extract has received a lot of attention due to its biological activity in the health of aquatic animals, but its high cost limits the application of this feed additive in the diet of many fish species. It is thus urgent to develop a new resource of proanthocyanidin extract. We aimed to investigate the effects of dietary supplementation with peanut skin proanthocyanidins (PSPc) on growth parameters and lipid metabolism of juvenile American eel (Anguilla rostrata). Four hundred and fifty juvenile eels were randomly divided into five groups fed diets with five PSPc supplementation levels. The trial lasted for 8 weeks. Dietary PSPc supplementation significantly improved weight gain and feed utilization, and the best growth performance was found in the group fed with 900 mg/kg PSPc. PSPc supplementation significantly affected the crude protein level of whole fish and serum lipid parameters, and the best lipid-lowering effect was found in the fish fed with 900 mg/kg PSPc. Dietary PSPc supplementation increased lipolytic enzyme activities and decrease lipid synthase levels in the liver. The lipid metabolites affected by 900 mg/kg PSPc in the liver were mainly upregulated phosphatidylethanolamine in autophagy, downregulated ceramides in sphingolipid metabolism, upregulated phosphatidylcholine and phosphatidylethanolamine, downregulated 2-lysophosphatidylcholine in glycerophospholipid metabolism, and upregulated phosphatidylcholine in linoleic acid metabolism. In conclusion, an appropriate level of PSPc might effectively improve growth performance and regulate the lipid metabolism of the juvenile American eel, and 900 mg/kg PSPc is recommended in the diet of this fish species.

As a functional feed additive, grape seed proanthocyanidin extract has received a lot of attention due to its biological activity in the health of aquatic animals, but its high cost limits the application of this feed additive in the diet of many fish species. It is thus urgent to develop a new resource of proanthocyanidin extract. We aimed to investigate the effects of dietary supplementation with peanut skin proanthocyanidins (PSPc) on growth parameters and lipid metabolism of juvenile American eel (

With the soaring number of multidrug-resistant bacteria, it is imperative to develop novel efficient antibacterial agents and discovery new antibacterial pathways. Herein, we designed and synthesized a series of structurally novel glycyrrhetinic acid (GA) derivatives against multidrug-resistant Staphylococcus aureus (MRSA). The in vitro antibacterial activity of these compounds was evaluated using the microbroth dilution method, agar plate coating experiments and real-time growth curves, respectively. Most of the target derivatives showed moderate antibacterial activity against Staphylococcus aureus (S. aureus) and MRSA (MIC = 3.125-25 μM), but inactivity against Escherichia coli (E. Coli) and Pseudomonas aeruginosa (P. aeruginosa) (MIC 200 μM). Among them, compound 11 had the strongest antibacterial activity against MRSA, with an MIC value of 3.125 μM, which was 32 times and 64 times than the first-line antibiotics penicillin and norfloxacin, respectively. Additionally, transcriptomic (RNA-seq) and quantitative polymerase chain reaction (qPCR) analysis revealed that the antibacterial mechanism of compound 11 was through blocking the arginine biosynthesis and metabolic and the H

Methyltransferase-like 3 (METTL3) and 14 (METTL14) are core subunits of the methyltransferase complex that catalyses messenger RNA N6-methyladenosine (m6A) modification. Despite the expanding list of m6A-dependent functions of the methyltransferase complex, the m6A-independent function of the METTL3 and METTL14 complex remains poorly understood. Here we show that genome-wide redistribution of METTL3 and METTL14 transcriptionally drives the senescence-associated secretory phenotype (SASP) in an m6A-independent manner. METTL14 is redistributed to the enhancers, whereas METTL3 is localized to the pre-existing NF-κB sites within the promoters of SASP genes during senescence. METTL3 and METTL14 are necessary for SASP. However, SASP is not regulated by m6A mRNA modification. METTL3 and METTL14 are required for both the tumour-promoting and immune-surveillance functions of senescent cells, which are mediated by SASP in vivo in mouse models. In summary, our results report an m6A-independent function of the METTL3 and METTL14 complex in transcriptionally promoting SASP during senescence.

Traditional Light Detection and Rangings (LiDARs) can quickly collect high-accuracy of three-dimensional (3D) point cloud data at a designated wavelength (i.e., cannot obtain hyperspectral data), w...

AIM: To determine the etiologies, treatment modalities and visual outcomes of vitreous hemorrhage (VH; range from birth to 18y). METHODS: A total of 262 eyes from 210 patients between January 2010 and September 2016 were included. All children underwent an appropriate ocular and systemic examination. Data collected included demographics, clinical manifestations, details of the ocular and systemic examination, management details, final fundus anatomy and visual acuity (VA). RESULTS: The most common etiologies were non-traumatic VH (64.89%), most of which were due to retinopathy of prematurity (ROP; 37.10%); while traffic accidents, including 16 (21.00%) eyes, was the most common ocular traumas. Surgery, performed in 143 (54.58%) eyes, was the most common management modality. The initial mean baseline visual acuity was 2.77±0.21 logarithm of the minimal angle of resolution (logMAR) in children and adolescent with traumatic VH, which was significantly improved to 2.15±1.31 logMAR (P

ObjectivesAt present, esophageal squamous cell carcinoma (ESCC) patients accepting neoadjuvant chemoradiotherapy (nCRT) plus surgery lack corresponding prognostic indicators. This study aimed to construct a prognostic prediction model for ESCC patients undergoing nCRT and surgery based on immune and inflammation-related indicators.MethodsWe retrospectively analyzed the levels of serum immune- and inflammation-related indicators of ESCC patients before receiving nCRT plus surgery in the training cohort (99 patients) and validation cohort (67 patients), which were collected from 2007 to 2020. Univariate and multivariate Cox survival analyses were conducted to evaluate the indicators to set up a nomogram associated with the patients’ overall survival (OS). The prediction accuracy and discriminative ability of the nomogram were measured by the concordance index (C-index), decision curve, calibration curve, integrated discrimination improvement (IDI), and net reclassification improvement (NRI).ResultsUnivariate and multivariate Cox analyses demonstrated that immune globin A (IgA) and C-reactive protein (CRP) were independent risk factors. A nomogram based on IgA, CRP, and cTNM stage was established for predicted OS in the training cohort and validated in the validation cohort. The C-index of the nomogram was 0.820 (95% CI: 0.705–0.934), which was higher than that of the cTNM stage (0.655 (95% CI: 0.546–0.764),p< 0.05) in the training cohort, and similar results were observed in the validation cohort (0.832 (95% CI: 0.760–0.903 vs 0.635 (95% CI: 0.509–0.757),p< 0.001). Furthermore, the prediction accuracy and net benefit of the nomogram verified by the calibration curve, decision curve, NRI, and IDI were satisfactory in the training and validation cohorts.ConclusionThe newly constructed nomogram concluding serum IgA, CRP, and cTNM stage might be helpful in the prognosis prediction for ESCC patients receiving nCRT plus surgery.

Background Previous studies have indicated that the ratio of lactate/albumin (L/A) has predictive value for the prognosis of critically ill patients with heart failure. Some studies have also indicated that a low serum bicarbonate concentration is inversely related to the mortality risk of patients with cardiogenic shock. However, the value of bicarbonate and the L/A ratio for predicting the mortality risk of patients with acute myocardial infarction (AMI) is still unclear. We therefore conducted a retrospective study to research this problem. Methods The subjects of this study were patients with AMI, and the data source was the Medical Information Mart for Intensive Care III database. The primary endpoint was 30-day all-cause mortality after admission. The Receiver operating characteristic (ROC) curve was used to compare the predictive value of L/A ratio, lactate and albumin for end-point events. The effects of different L/A ratio levels and different bicarbonate concentrations on 7-day and 30-day all-cause mortality were compared using Kaplan–Meier (K-M) curves. Hazard ratios for different L/A ratio and different bicarbonate concentrations were investigated using COX proportional hazards models. Results The Area Under Curve (AUC) of L/A ratio, lactate, and albumin were 0.736, 0.718, and 0.620, respectively. (1) L/A ratio: The patients were divided into three groups according to their L/A ratio: tertile T1 (L/A ratio ≤ 0.47), tertile T2 (L/A ratio ≤ 0.97), and tertile T3 (L/A ratio > 0.97). The T2 and T3 groups had higher 30-day all-cause mortality risks than the T1 group. The restricted cubic spline (RCS) model indicated that there was a nonlinear relationship between L/A ratio and 30-day mortality (P 27 mmol/L). The G2 and G3 groups had higher 30-day all-cause mortality risks than the G1 group. The RCS model indicated that there was a nonlinear relationship between bicarbonate concentration and 30-day mortality (P P Conclusion L/A ratio and bicarbonate concentration and hemoglobin level have predictive value for predicting 30-day mortality in patients with acute myocardial infarction.