DoMYB5 and DobHLH24, Transcription Factors Involved in Regulating Anthocyanin Accumulation in Dendrobium officinale.

As a kind of orchid plant with both medicinal and ornamental value, Dendrobium officinale has garnered increasing research attention in recent years. The MYB and bHLH transcription factors play important roles in the synthesis and accumulation of anthocyanin. However, how MYB and bHLH transcription factors work in the synthesis and accumulation of anthocyanin in D. officinale is still unclear. In this study, we cloned and characterized one MYB and one bHLH transcription factor, namely, D. officinale MYB5 (DoMYB5) and D. officinaleb bHLH24 (DobHLH24), respectively. Their expression levels were positively correlated with the anthocyanin content in the flowers, stems, and leaves of D. officinale varieties with different colors. The transient expression of DoMYB5 and DobHLH24 in D. officinale leaf and their stable expression in tobacco significantly promoted the accumulation of anthocyanin. Both DoMYB5 and DobHLH24 could directly bind to the promoters of D. officinale CHS (DoCHS) and D. officinale DFR (DoDFR) and regulate DoCHS and DoDFR expression. The co-transformation of the two transcription factors significantly enhanced the expression levels of DoCHS and DoDFR. DoMYB5 and DobHLH24 may enhance the regulatory effect by forming heterodimers. Drawing on the results of our experiments, we propose that DobHLH24 may function as a regulatory partner by interacting directly with DoMYB5 to stimulate anthocyanin accumulation in D. officinale.

An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition.

Wearable sensor-based HAR (human activity recognition) is a popular human activity perception method. However, due to the lack of a unified human activity model, the number and positions of sensors in the existing wearable HAR systems are not the same, which affects the promotion and application. In this paper, an information gain-based human activity model is established, and an attention-based recurrent neural network (namely Attention-RNN) for human activity recognition is designed. Besides, the attention-RNN, which combines bidirectional long short-term memory (BiLSTM) with attention mechanism, was tested on the UCI opportunity challenge dataset. Experiments prove that the proposed human activity model provides guidance for the deployment location of sensors and provides a basis for the selection of the number of sensors, which can reduce the number of sensors used to achieve the same classification effect. In addition, experiments show that the proposed Attention-RNN achieves F1 scores of 0.898 and 0.911 in the ML (Modes of Locomotion) task and GR (Gesture Recognition) task, respectively.

An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People.

A fall detection module is an important component of community-based care for the elderly to reduce their health risk. It requires the accuracy of detections as well as maintains energy saving. In order to meet the above requirements, a sensing module-integrated energy-efficient sensor was developed which can sense and cache the data of human activity in sleep mode, and an interrupt-driven algorithm is proposed to transmit the data to a server integrated with ZigBee. Secondly, a deep neural network for fall detection (FD-DNN) running on the server is carefully designed to detect falls accurately. FD-DNN, which combines the convolutional neural networks (CNN) with long short-term memory (LSTM) algorithms, was tested on both with online and offline datasets. The experimental result shows that it takes advantage of CNN and LSTM, and achieved 99.17% fall detection accuracy, while its specificity and sensitivity are 99.94% and 94.09%, respectively. Meanwhile, it has the characteristics of low power consumption.

A Distributed Learning Method for ℓ 1 -Regularized Kernel Machine over Wireless Sensor Networks.

In wireless sensor networks, centralized learning methods have very high communication costs and energy consumption. These are caused by the need to transmit scattered training examples from various sensor nodes to the central fusion center where a classifier or a regression machine is trained. To reduce the communication cost, a distributed learning method for a kernel machine that incorporates ℓ 1 norm regularization ( ℓ 1 -regularized) is investigated, and a novel distributed learning algorithm for the ℓ 1 -regularized kernel minimum mean squared error (KMSE) machine is proposed. The proposed algorithm relies on in-network processing and a collaboration that transmits the sparse model only between single-hop neighboring nodes. This paper evaluates the proposed algorithm with respect to the prediction accuracy, the sparse rate of model, the communication cost and the number of iterations on synthetic and real datasets. The simulation results show that the proposed algorithm can obtain approximately the same prediction accuracy as that obtained by the batch learning method. Moreover, it is significantly superior in terms of the sparse rate of model and communication cost, and it can converge with fewer iterations. Finally, an experiment conducted on a wireless sensor network (WSN) test platform further shows the advantages of the proposed algorithm with respect to communication cost.

Multiple imaging modality-guided radiofrequency ablation combined with transarterial chemoembolization for hepatocellular carcinoma in special locations.

PURPOSE: We aimed to evaluate the safety and effectiveness of radiofrequency ablation (RFA) combined with transarterial chemoembolization (TACE) guided by multiple imaging modalities for hepatocellular carcinomas (HCCs) in special (i.e., high-risk or unfavorable) locations compared with those in conventional locations. METHODS: A total of 122 HCC patients were enrolled, including 85 patients (69.7%) with HCC in conventional locations and 37 (30.3%) with HCC in special locations. The clinical data, overall survival (OS), progression-free survival (PFS), and procedure-related adverse events were analyzed. RESULTS: RFA combined with TACE was successfully performed in all patients. Three complications (2.5%) occurred, with no significant difference between the conventional (n=1, 1.2%) and special (n=2, 5.4%) locations (P = 0.218). Complete tumor necrosis rate was not significantly different between the conventional (n=73, 85.9%) and special (n=34, 91.9%) locations at one-month imaging (P = 0.353). After a follow-up of 3-48 months, the PFS was 17 months for patients with HCC in conventional locations and 14 months for patients with HCC in special locations; one-year PFS rate was 68.1% in the conventional location group, not significantly (P = 0.741) different from 59.1% in the special location group. The OS was 28 months in the conventional location group while 32 months in the special location group. The cumulative one- and two-year OS rates were 89.9% and 63.3%, respectively, in the conventional location group, not significantly different from 96.3% and 65% in the special location group (P = 0.273). Age (P = 0.043) and tumor size (P < 0.001) were significant prognostic factors for OS, and tumor size (P < 0.001) was the only significant prognostic factor for PFS. CONCLUSION: RFA guided by multiple imaging modalities combined with TACE may be safe and effective for treating HCCs in special locations.

Radiofrequency ablation of problematically located hepatocellular carcinoma: tailored approach.

BACKGROUND: The challenge for radiofrequency ablation (RFA) of hepatocellular carcinomas (HCC) in problematic locations is that the outcome is limited due to insufficient ablation or injury of nearby structures. This study aimed to evaluate effective strategy and treatment results of RFA in these cases. METHODS: Ultrasound guided percutaneous RFA was performed in 326 HCC patients. Among them, 249 tumors in 215 patients located at liver periphery, including 54 adjacent to GI tract, 110 close to the diaphragm, 49 close to the gallbladder, and 36 tumors close to liver surface. The sizes of the tumors ranged 1.2-7.0 cm (average 3.7 +/- 1.3 cm). Individualized treatment strategy was established for tumors in various locations, including "artificial ascites", "lift-expand" electrode placement, "draw-expand" electrode placement, "Supplementary ablation", and "accumulative multiple ablations" techniques. Treatment outcome was compared with another 64 central-located tumors (control group) in the same patients. One-month post-RFA contrast CT was used to evaluate early necrosis rate of the treated tumors. RESULTS: Early tumor necrosis were obtained in 91.6% (228/249) of the problematically located HCC, including 90.7% (49/54) of the tumors adjacent to GI tract, 90.9% (100/110) near the diaphragm, 91.8% (45/49) by the gallbladder, and 94.4% (34/36) close to liver surface. The necrosis rate of control group was 98.4% (63/64), which was higher than the tumors close to diaphragm (P = 0.049). Local tumor recurrence was 8.4% (21/249), comparing with 3.1% (2/64) of the control group (P > 0.05). The 1-, 2- and 3-year survival rate of this group were 81.6%, 63.8%, and 53.6%, respectively. Major complications occurred in 3.2% (11/343) of the treatment sessions, including hemorrhage in two, nearby structure injury in five, and needle tract seeding in four patients. CONCLUSIONS: Individualized treatment strategy for problematically located HCC is helpful in improving RFA outcome and expanding the application range of the therapy.

[Feasibility of improving radiofrequency ablation of hepatocellular carcinoma by percutaneously blocking tumor-feeding vessels].

OBJECTIVE: To explore the feasibility and outcome of radiofrequency ablation (RFA) in blocking feeding vessels of hypervascular hepatocellular carcinoma (HCC). METHODS: Totally 101 patients pathologically confirmed hypervascular HCC were included in the study. In percutaneous arterial ablation (PAA) + RFA group, 71 patients with 74 HCC underwent PAA before classical RFA of the other regions of the tumors, while in the RFA group, another 83 patients with 102 HCC were treated with RFA directly. For another 30 patients who responded poorly to transcatheter arterial chemoembolization were treated with percutaneous arterial embolization (PAE), followed by RFA; another 23 patients were treated with RFA alone were regarded as the control group. Contrast-enhanced CT and magnetic resonance imaging were used as post-RFA imaging follow-up at 1, 3, and 6 month. RESULTS: In PAA + RFA group, post-PAA imaging showed blocked blood flow in 65 (87.8%) HCC. There were average 2.76 +/- 1.12 ablated foci per HCC in PAA + RFA group and 3.36 +/- 1.60 ablated foci per HCC in control group (P = 0.01). The tumor necrosis rate at 1 month after RFA was 90. 5% (67/74) in PAA + RFA group and 90.2% (92/102) in control group. HCC recurrence rate at 6 month after RFA was 17.6% (13/74) in PAA + RFA group and 31.4% (32/102) in control group (P = 0.038). In PAE + RFA group, 88.6% of the main feeding vessels were blocked. The tumor necrosis rate at 1 and 6 month after FRA was 92.6% (25/27) and 85.2% (23/27) in PAA + RFA group and 65.2% (15/ 23) (P = 0.030) and 56.5% (13/23) (P = 0.024) in control group. CONCLUSION: PAA and PAE can block the feeding vessels of HCC, enhance the ablated necrosis in the tumor, decrease post-RFA recurrence, and therefore provides a safe and feasible method for treating hypervascular HCC.

Nuclear forkhead box O3a accumulation contributing to the proliferative suppression in liver cancer cells by PI3K/Akt signaling pathway.

BACKGROUND: Serine/threonine kinase is originally identified as an oncogene and the forkhead box transcription factor forkhead box O3a (Foxo3a) has been found to be decreased in various human cancers. In the present study, we explored the expression of Akt and FOXO3a in liver cancer cells. MATERIALS AND METHODS: Akt level was detected by Western blotting analysis. Cell viability of HepG2, MHCC-97H, Bel7402, and L02 was determined by MTT assay. FoxO3a level was determined by Western blotting analysis. RESULTS: Akt level was significantly higher in liver cancer cell lines HepG2 and MHCC97-H, compared with the immortalized liver cell line L02. MTT assay results demonstrated that LY294002 significantly suppressed cell proliferation of HepG2 and MHCC-97H cells in a dose- and time-dependent manner. The underlying molecular mechanism was that miR-370 inhibited cell proliferation of liver cancer cells by activating FoxO3a. CONCLUSION: PI3K inhibitor decreased the levels of phosphorylated FOXO3a and increased the levels of nuclear FOXO3a. It also inhibited cell proliferation of liver cancer cells partly by PI3K/Akt/FOXO3a signaling pathways.

Adjuvant percutaneous radiofrequency ablation of feeding artery of hepatocellular carcinoma before treatment.

AIM: To evaluate the feasibility and efficacy of percutaneous radiofrequency ablation (RFA) of the feeding artery of hepatocellular carcinoma (HCC) in reducing the blood-flow-induced heat-sink effect of RFA. METHODS: A total of 154 HCC patients with 177 pathologically confirmed hypervascular lesions participated in the study and were randomly assigned into two groups. Seventy-one patients with 75 HCCs (average tumor size, 4.3 +/- 1.1 cm) were included in group A, in which the feeding artery of HCC was identified by color Doppler flow imaging, and were ablated with multiple small overlapping RFA foci [percutaneous ablation of feeding artery (PAA)] before routine RFA treatment of the tumor. Eighty-three patients with 102 HCC (average tumor size, 4.1 +/- 1.0 cm) were included in group B, in which the tumors were treated routinely with RFA. Contrast-enhanced computed tomography was used as post-RFA imaging, when patients were followed-up for 1, 3 and 6 mo. RESULTS: In group A, feeding arteries were blocked in 66 (88%) HCC lesions, and the size of arteries decreased in nine (12%). The average number of punctures per HCC was 2.76 +/- 1.12 in group A, and 3.36 +/- 1.60 in group B (P = 0.01). The tumor necrosis rate at 1 mo post-RFA was 90.67% (68/75 lesions) in group A and 90.20% (92/102 lesions) in group B. HCC recurrence rate at 6 mo post-RFA was 17.33% (13/75) in group A and 31.37% (32/102) in group B (P = 0.04). CONCLUSION: PAA blocked effectively the feeding artery of HCC. Combination of PAA and RFA significantly decreased post-RFA recurrence and provided an alternative treatment for hypervascular HCC.