Search

The alteration of cellular energy metabolism is a hallmark of colorectal cancer (CRC). Accumulating evidence has suggested oxidative phosphorylation (OXPHOS) is upregulated to meet the demand for energy in tumor initiation and development. However, the role of OXPHOS and its regulatory mechanism in CRC tumorigenesis and progression remain unclear. Here, we reveal that Prohibitin 2 (PHB2) expression is elevated in precancerous adenomas and CRC, which promotes cell proliferation and tumorigenesis of CRC. Additionally, knockdown of PHB2 significantly reduces mitochondrial OXPHOS levels in CRC cells. Meanwhile, NADH:ubiquinone oxidoreductase core subunit S1 (NDUFS1), as a PHB2 binding partner, is screened and identified by co-immunoprecipitation and mass spectrometry. Furthermore, PHB2 directly interacts with NDUFS1 and they co-localize in mitochondria, which facilitates NDUFS1 binding to NADH:ubiquinone oxidoreductase core subunit V1 (NDUFV1), regulating the activity of complex Ⅰ. Consistently, partial inhibition of complex Ⅰ activity also abrogates the increased cell proliferation induced by overexpression of PHB2 in normal human intestinal epithelial cells and CRC cells. Collectively, these results indicate that increased PHB2 directly interacts with NDUFS1 to stabilize mitochondrial complex Ⅰ and enhance its activity, leading to upregulated OXPHOS levels, thereby promoting cell proliferation and tumorigenesis of CRC. Our findings provide a new perspective for understanding of CRC energy metabolism, as well as novel intervention strategies for CRC therapeutics.

To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system.Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95%CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95%CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95%CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCNBased on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.

Cholangiocyte organoids can be used to model liver biliary disease; however, both a defined matrix in which to emulate cholangiocyte self-assembly and the mechano-transduction pathways involved therein remain elusive. We designed a series of defined viscoelastic hyaluronan hydrogels in which to culture primary cholangiocytes and found that by mimicking the stress relaxation rate of liver tissue, we could induce cholangiocyte organoid growth and significantly increase expression of Yes-associated protein (YAP) target genes. Strikingly, inhibition of matrix metalloproteinases (MMPs) did not significantly affect organoid growth in 3D culture, suggesting that mechanical remodeling of the viscoelastic microenvironment – and not MMP-mediated degradation – is key to cholangiocyte organoid growth. By immobilizing jagged1 to the hyaluronan, stress relaxing hydrogel, self-assembled bile duct structures formed in organoid culture, indicating the synergistic effects of Notch signaling and viscoelasticity. By uncovering critical roles of hydrogel viscoelasticity, YAP signaling and Notch activation, we controlled cholangiocyte organogenesis, thereby paving the way for their use in disease modeling and/or transplantation.

To observe the changes of arterial blood gas indexes in pigs with the free-field primary blast lung injury (PBLI) model, and to explore the value of arterial blood gas indexes in predicting moderate to severe PBLI.Nine adult healthy Landrace pigs were selected to construct the pig free-field PBLI model. Arterial blood samples were taken 15 minutes before the explosion (before injury) and 10, 30, 60, 120, and 180 minutes after the explosion (after injury). Arterial blood gas indexes and pulse oxygen saturation (SpOAs time prolonged, at each time point, pH, arterial partial pressure of oxygen (PaOThis study successfully established a large mammalian free-field PBLI model, arterial blood gas analysis is helpful for the early diagnosis of PBLI, whether SpO

Background: This study aimed to develop and to validate dynamic predictive models for trauma-associated severe hemorrhage based on vital signs to register early warning and dynamic prediction of severe hemorrhage in trauma patients.Methods: The MIMIC-IV cohort was collected retrospectively. The inclusion criteria were trauma patients aged ≥16 years with complete clinical data. Heart rate, respiratory rate, systolic blood pressure, diastolic blood pressure, and peripheral oxygen saturation were extracted as predictive variables. Based on logistic regression, support vector machine, random forest, adaptive boosting, gated recurrent unit, and gated recurrent unit-d, predictive models for trauma-associated severe hemorrhage were developed and validated to dynamically predict whether severe hemorrhage will occur in trauma patients in the next 1 h/2 h/3 h. This study was based on the Trauma database of the General Hospital of the People's Liberation Army for external validation. The models were developed and validated using Python 3.8.5 software. SPSS.21 software was used for statistical analysis.Results: Of the 7522 trauma patients in the MIMIC-IV cohort, 283 (3.76%) had a severe hemorrhage. The area under the curve of the gated recurrent unit-d model was the best in the 1 h (0.946±0.029), 2 h (0.940±0.032), and 3 h groups (0.943±0.034), and there was no significant difference among the three groups. In the Trauma cohort, the area under the curve of the gated recurrent unit-d model also achieved the best performance in the 1 h (0.779±0.013), 2 h (0.780±0.008), and 3 h groups (0.778±0.009), and there was no significant difference among the three groups. When comparing the gated recurrent unit-d model with the traditional scoring systems, the gated recurrent unit-d model still has advantages. Moreover, we have developed a web-based predictive system to help clinicians use our models.Conclusions: This study developed and validated dynamic predictive models for trauma-associated severe hemorrhage based on vital signs to assist pre-hospital or in-hospital emergency personnel to make decisions, and the gated recurrent unit-d model performed best.Trial registration: The MIMIC-IV database was previously de-identified and reviewed by the institutional review board (IRB) of its host organization and determined to be exempted from subsequent IRB. We obtained the administrative permissions to use the database (Certification Number: 27959316) for our research, after completing the National Institutes of Health web-based training course: Protecting Human Research Participants. We were reviewed and approved by the Ethics Committee of Chinese PLA General Hospital to use the Trauma database. The ethical batch number is S2021-466-01. Moreover, the informed consent of subjects was waived by the Ethics Committee of Chinese PLA General Hospital.

Introduction Atypical prosodic features have been widely reported in autism spectrum disorder (ASD), primarily in non-tonal language speakers. Nevertheless, the prosodic realizations in autistic people who speak tonal languages were relatively understudied. This study aimed to investigate the acoustic and phonetic patterns at the word-level speech in Mandarin-speaking autistic and typically developing (TD) children at different age ranges. Methods Thirty Mandarin-speaking autistic children (15 three- to five-year-olds and 15 six- to eight-year-olds) were recruited into the ASD group. The TD group consisted of 30 age- and gender-matched children. We employed a picture-naming task to elicit the spontaneous speech production of Mandarin disyllabic words in which tone change processes occur, namely Tone 3 (T3) sandhi and neutral tone (T0). Results The phonetic analysis showed that the ASD group generally could produce typical-like T3 sandhi and T0 in terms of pitch height. However, relative to the TD group, they exhibited flatter pitch contours during T3 sandhi production. Moreover, the acoustic pitch mean of citation tones in the ASD group was also significantly higher, accompanied by more rigid pitch curves in contour tones. In addition, the atypical temporal realization in the ASD group was manifested by the longer duration of T0 and the earlier inflection position of T3. Conclusions Mandarin-speaking autistic children under eight had the phonological ability to produce context-dependent tones based on connected tonal information at the word level. Nevertheless, their phonetic prosodic realization of tone change processes was atypical. Our findings provide evidence of atypical prosody in autistic children who speak tone languages. Clinically, these findings may be attributable to underlying neural differences in autistic children.

The present study was aimed at microstructure quenched around Ac3 point and its effect on the damage behavior. Thermo-Calc was used to ensure the A3, while the Ac3 was identified by means of heat treatments on DIL805A thermal dilatometer, and the quenching temperatures were determined according to the above parameters. The scanning electron microscopy (SEM) and electron back scattering diffraction (EBSD) were carried out to observe the microstructure. In-situ tensile tests with SEM were performed and the development of microcracks were recorded. The results illustrated that the microstructure depends on the quenching temperature: a dual phase microstructure of martensite islands with ferrite around them is observed when the material is quenched below A3, approximately 842 ℃. Ferrite near martensite island and interface between two martensite islands with different misorientation are generally the weak spots in microstructure. When the material is quenched from austenite region around or above Ac3, approximately 880 ℃, martensite with lath submicrostructure is obtained. The location with large misorientation between two packets is usually the weak spot in microstructure and leads to increased possibility of microcracks. Keywords: Microstructure of martensite, Development of microcracks, In-situ tension

This paper studied the plastic deformation behaviour of DP600 steel subjected to uniaxial tension, by means of in-situ EBSD technique. It provides experimental evidences and detailed insight into the microstructural aspects of plastic deformation. A phase identification method based on the band slope map of EBSD was adopted to differentiate martensite from ferrite. The results show that the plastic strain localization lies mainly in the ferrite grains, fracture could usually start in ferrite grains close to hard martensite grains. With the increase of strain, average misorientation angle decreased while the fraction of LAGBs increased. Average Taylor factor for the whole microstructure became higher at high strains due to work hardening process, and plastic deformation results in soft regions with zonal distribution parallel to the loading direction. In the undeformed state, the texture orientation ( 111 ) [ 0 1 ¯ 1 ] and ( 111 ) [ 1 1 ¯ 0 ] are the major components of the γ-fibre while ( 223 ) [ 1 1 ¯ 0 ] and ( 221 ) [ 1 1 ¯ 0 ] are the main components of α-fibre. The intensity of the α-fibre slightly decreased, while the intensity of the γ-fibre increased with increasing strain. Plastic deformation occurred in some grains which were subdivided into different regions due to the activation of different slip systems. The tensile axis orientation of the grain rotated gradually to the line link − , and lattice rotation within one single grain differs from regions to regions.

Although promising results have been achieved in the area of traffic sign detection, little attention has been paid to text detection on traffic signs. In fact, in today’s popular driver-less automobile industry, traffic sign text which brings abundant and valuable traffic information plays an important and indispensable role. In this work, we design an effective detector for traffic sign text, whose pipeline only consists of a preprocessing module to tackle with some complex situations, a Fully Convolutional Network (FCN) in which a Scale-transfer layer is proposed to speed up the network and a simple post-processing step. Extensive experiments on the Chinese traffic sign text dataset (CTST-1600), ICDAR 2013 and MSRA-TD500 show that the proposed method has achieved the state-of-the-art results, which proves the ability of our detector on both particularity and universality applications. We collect the Chinese text-based traffic sign dataset named CTST-1600, and it can be found at https://github.com/pummi823/test/blob/master/CTST-1600 .

Background: In a combat setting, uncontrolled junctional hemorrhage, which occur at the junction of the torso and appendages, constitutes a major source of potentially preventable deaths. A reliable gunshot swine model of junctional femoral artery rupture was established under ultrasonic guidance to accurately simulate field rescue conditions. Methods: Picco monitoring was instrumented for the anesthetized Landrace pigs, and the right femoral artery was located by portable ultrasound. The pistol bullet hit the right femoral artery along the direction of ultrasonic probe, resulting in the artery rupture. After 30 seconds of uncontrolled hemorrhage, ballistic was filled with Combat Gauze to stop bleeding in BT group (n=10). Combat Gauze (QuikClot) was used to stop bleeding when the mean arterial pressure (MAP) decreased by 30% in MD group (n=10). The sham-operated pigs (n=10) underwent the same anesthetic and surgical procedures, but neither shooting nor gauze filling therapy were performed. No liquid treatment was performed in the three groups throughout the experiment. Blood samples were taken 15 min before injury, then 10 min, 30 min, and 60 min after injury to determine hemodynamic, coagulation, and arterial blood gas indexes. Animals were then monitored for 180 minutes and surviving animals were killed. Results: Histologic anatomy indicated that the right femoral artery and vein were completely ruptured in all 20 swine of MD and BT groups. Eighteen pigs had associated proximal femur fractures and the other two had associated midshaft femur fractures. The entrance diameters of wound were 11.4 mm (SD=0.4), and the exits diameters were 26.4 mm (SD=5.8). The blood loss of pre-tamponade (4.97±2.47 mL/kg vs 18.26±3.47 mL/kg, PConclusion: We established a reliable gunshot model of junctional hemorrhage in swine, which had high accuracy for femoral arterial rupture under ultrasonic guidance and provided consistent and reproducible field-simulation conditions. In this junctional hemorrhage model, blood loss of 30 seconds free bleeding did not meet criteria for shock, and MAP decreased by 30% is a better choice to ensure the success of the shock model.Trial registration: Authorized by Institutional Animal Care and Use Committee in China (grant no. SC2019-06-013).

Objective This work sought to 1) establish a reliable gunshot model of junctional femoral artery rupture in swine that accurately simulates field rescue conditions, and 2) use the gunshot model to compare the efficacy and ease of application of zeolite nanometer hemostatic gauze with other hemostatic materials, Methods 36 healthy landrace swine (body weight 50 ± 5 kg) were randomly divided into three groups which were treated with Combat Gauze (CG), FeiChuang hemostatic gauze (FG), or standard medical gauze (SG). A gunshot model of femoral artery hemorrhage in landrace swine was used with portable ultrasound to accurately position the wound. After the shooting, when mean arterial pressure (MAP) of swine decreased by at least 30% for 10 seconds, wounds were pressed with standard packing (39 g) of gauze materials for 3 minutes to stop bleeding, and then bandaged with pressure. Blood samples were taken 15 min before injury, then 10 min, 30 min, and 60 min after injury to determine hemodynamic, coagulation, and arterial blood gas indexes. Wound temperatures were taken at 5 min, 10 min, 30 min, and 60 min after injury, and survival times were recorded. Results The CG (11.15 ± 3.09 ml/kg) and FG (12.19 ± 3.5 ml/kg) groups had significantly less blood loss than the SG group (16.8 ± 5.14 ml/kg) (P = 0.04; P = 0.039, respectively). After gauze packing, bleeding in CG (5.85 ± 1.17 ml/kg) and FG (5.37 ± 0.93 ml/kg) groups remained significantly lower than that of SG group (6.93 ± 1.03 ml/kg) (P = 0.011; P = 0.003, respectively). Wound temperature rose with time for all groups (p = 0.000). The wound temperatures in the FG group and the CG group were significantly higher than that of the SG group, (p = 0.004 and 0.009, respectively). Survival rates and times were not significantly different among the three groups, though the FG group had the longest average survival time (SD 204.8 s), compared with SG group (SD 177.8 s) and CG (SD 187.5 s) groups. No significant differences in hemodynamics, blood gas, and coagulation were observed among the three groups. Conclusions The gunshot model of junctional femoral arterial hemorrhage guided by ultrasound had high accuracy for femoral arterial rupture by bullet wound, and provided consistent and reproducible field-simulation conditions for comparison of hemostatic materials. Feichuang zeolite hemostatic gauze effectively controlled bleeding without excessive heat, as found in other zeolite-based products. However, improvements to application technique, such as a packing device are needed to improve operating time.

Hashing, which refers to the binary embedding of high-dimensional data, has been an effective solution for fast nearest neighbor retrieval in large-scale databases due to its computational and storage efficiency. Recently, deep learning to hash has been attracting increasing attention since it has shown great potential in improving retrieval quality by leveraging the strengths of deep neural networks. In this paper, we consider the problem of supervised hashing and propose an effective model (i.e., DHA), which is able to generate compact and discriminative binary codes while preserving semantic similarities of original data with an adaptive loss function. The key idea is that we scale and shift the loss function to avoid the saturation of gradients during training, and simultaneously adjust the loss to adapt to different levels of similarities of data. We evaluate the proposed DHA on three widely-used benchmarks, i.e., NUS-WIDE, CIFAR-10, and MS COCO. The state-of-the-art image retrieval performance clearly shows the effectiveness of our method in learning discriminative hash codes for nearest neighbor retrieval.

Plant height (PH) and the number of nodes on the main stem (NN) serve as major plant architecture traits affecting soybean seed yield. Although many quantitative trait loci for the two traits have been reported, their genetic controls at different developmental stages in soybeans remain unclear. Here, 368 soybean breeding lines were genotyped using 62,423 single nucleotide polymorphism (SNP) markers and phenotyped for the two traits at three different developmental stages over two locations in order to identify their quantitative trait nucleotides (QTNs) using compressed mixed linear model (CMLM) and multi-locus random-SNP-effect mixed linear model (mrMLM) approaches. As a result, 11 and 13 QTNs were found by CMLM to be associated with PH and NN, respectively. Among these QTNs, 8, 3, and 4 for PH and 6, 6, and 8 for NN were found at the three stages, and 3 and 6 were repeatedly detected for PH and NN. In addition, 34 and 30 QTNs were found by mrMLM to be associated with PH and NN, respectively. Among these QTNs, 11, 13, and 16 for PH and 11, 15, and 8 for NN were found at the three stages. A majority of these QTNs overlapped with the previously reported loci. Moreover, one QTN within the known E2 locus for flowering time was detected for the two traits at all three stages, and another that overlapped with the Dt1 locus for stem growth habit was also identified for the two traits at the mature stage. This may explain the highly significant correlation between the two traits. Our findings provide evidence for mixed major plus polygenes inheritance for dynamic traits and an extended understanding of their genetic architecture for molecular dissection and breeding utilization in soybeans.

External combustion is a phenomenon where the flame flares out of the window and burns outside. Because of the particularity of the ship’s cabin structure, there is a great danger in the external combustion. In this paper, the numerical calculation and analysis of three kinds of low ceiling ship cabin fire are analyzed based on the large eddy numerical simulation technique. Through the analysis of temperature, flue gas velocity, heat flux density and so on, the external combustion phenomenon of fire development is calculated. The results show that when external combustion occurs, the amount of fuel escaping decreases with the roof height. The temperature above the window increases with the height of the ceiling. The heat flux density in the external combustion flame is mainly provided by radiation, and convection is only a small part; In the plume area there is a time period, in this time period, the convective heat flux density is greater than the radiation heat flux, this time with the ceiling height increases. No matter which ceiling height, the external combustion will seriously damage the structure of the ship after a certain period of time. The velocity distribution of the three roof is similar, but with the height of the ceiling, the area size is also increasing.

Objective The aim of the study is to investigate the antibacterial effect of the black tea theaflavins (TFs) on Streptococcus mutans (S. mutans) which cause the dentin caries. Methods (1) Broth dilution method was used for the determination of minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC). (2) Mixed bacterial suspension with three different concentrations of TFs and recorded pH values before and after anaerobic incubation. (3) Scanning electron microscopy was used for observing bacteria morphology. Results (1) The MIC and MBC were 0.5mg/ml and 1.0mg/ml respectively. (2) With the increasing concentration of TFs, the ability of bacteria to produce acid gradually decreased. (3) TFs changed the shape of S. mutans. Conclusions Theaflavins inhibits S. mutans effectively.

This paper proposes a new generative model for flexible editing of human motion. Different from previous work, three intuitive factors of motion, namely, content, identity and style, can be manipulated directly with the new model. With the new generative model, motion editing can be achieved in various aspects, including transferring an unknown style from an actor to another, synthesizing other styles for an unknown actor and generating a new motion with other content. Copyright © 2013 John Wiley & Sons, Ltd.

Appearance model is widely used for image description and demonstrates an impressive performance in object detection. However, most appearance models can not be applied to more freedom object in still image, especially when dealt with variant objects whose shapes are modified by warping, rotation, etc. In this article, a simple but effective method to build a regional rotation-invariant feature descriptor is proposed to catch discriminative information of the variant human pose, which has a superior advantage when targets are in arbitrary orientations and slightly warping. Moreover, a mixture spatial model with visible parameters is then presented to differentiate the body structure and estimate the visible accurate position of each joint. The experiment results indicate that the proposed descriptor give near state-of-the-art performance on both handwritten digit recognition database and two public human motion databases containing athletes or pedestrians under certain different variations.

In this paper, a generic approach is presented to constructing generative motion model from prerecorded motion data that allows the synthesis of new motions or modification of existing motions in various ways. The key idea is to decompose human motion data into a series of latent variables which decompose a number of sports from different properties, in the way motion variations are interpreted by modeling human motion data in the Gaussian process. The effectiveness and flexibility of this approach in experiments and applications are demonstrated by constructing two generative motion models as an example of various kinds of motion properties.