Machine Learning for Predictive Deployment of UAVs with Multiple Access

In this paper, a machine learning based deployment framework of unmanned aerial vehicles (UAVs) is studied. In the considered model, UAVs are deployed as flying base stations (BS) to offload heavy traffic from ground BSs. Due to time-varying traffic distribution, a long short-term memory (LSTM) based prediction algorithm is introduced to predict the future cellular traffic. To predict the user service distribution, a KEG algorithm, which is a joint K-means and expectation maximization (EM) algorithm based on Gaussian mixture model (GMM), is proposed for determining the service area of each UAV. Based on the predicted traffic, the optimal UAV positions are derived and three multi-access techniques are compared so as to minimize the total transmit power. Simulation results show that the proposed method can reduce up to 24\% of the total power consumption compared to the conventional method without traffic prediction. Besides, rate splitting multiple access (RSMA) has the lower required transmit power compared to frequency domain multiple access (FDMA) and time domain multiple access (TDMA)

Construction of index system for external risk factors of disease on large-scale farm based on the analytic hierarchy process

AbstractAnimal health risk analysis technology on large-scale farm is becoming more important, but the assessment of relevant external risk factors of disease spreading into pig farm is an complex multi-dimensional process. The analytic hierarchy process (AHP) has been accepted as a robust and flexible multi-criteria decision-making tool for dealing with complex decision problems. On this study, The index system of external risk factors on large-scale farm is built based on AHP. The result shows that farm management practices, Biosecurity and site are major risk factors and reveals AHP can be used in animal risk analysis for disease control and prevention

N 2,N 2′-Bis(2-hydroxy­benzyl­idene)-2,2′-bipyridyl-3,3′-dicarbohydrazide

In the title compound, C26H20N6O4, the two aroylhydrazone side groups exist as diastereomeres, both in the keto form in the crystal structure. The aroylhydrazone units support the mol­ecular conformation through an intra­molecular N—H⋯O hydrogen bond. Two mol­ecules are connected into a centrosymmetric dimer by inter­molecular N—H⋯N hydrogen bonds. These dimers are connected into chains along the a axis by inter­molecular O—H⋯O hydrogen bonds. The combination of these hydrogen bonds results in layers in the bc plane. The layers are further linked by weak C—H⋯π contacts to form a three-dimensional network structure

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Scene text detection, an important step of scene text reading systems, has witnessed rapid development with convolutional neural networks. Nonetheless, two main challenges still exist and hamper its deployment to real-world applications. The first problem is the trade-off between speed and accuracy. The second one is to model the arbitrary-shaped text instance. Recently, some methods have been proposed to tackle arbitrary-shaped text detection, but they rarely take the speed of the entire pipeline into consideration, which may fall short in practical applications.In this paper, we propose an efficient and accurate arbitrary-shaped text detector, termed Pixel Aggregation Network (PAN), which is equipped with a low computational-cost segmentation head and a learnable post-processing. More specifically, the segmentation head is made up of Feature Pyramid Enhancement Module (FPEM) and Feature Fusion Module (FFM). FPEM is a cascadable U-shaped module, which can introduce multi-level information to guide the better segmentation. FFM can gather the features given by the FPEMs of different depths into a final feature for segmentation. The learnable post-processing is implemented by Pixel Aggregation (PA), which can precisely aggregate text pixels by predicted similarity vectors. Experiments on several standard benchmarks validate the superiority of the proposed PAN. It is worth noting that our method can achieve a competitive F-measure of 79.9% at 84.2 FPS on CTW1500.Comment: Accept by ICCV 201

Application of Silver Dressing with Activated Carbon Fiber in the Rehabilitation of Aged Diabetic Foot Ulcers

本本文报道了12例顽固性老年糖尿病足溃疡患者的康复过程，通过全身评估、足部评估及多学科联合诊治的方法，制定优化的治疗护理方案。在伤口处理方面，首次将活性碳纤维含银敷料应用其中，通过6～12周的创面护理，溃疡愈合。该新型敷料，因活性碳纤维的吸附作用、远红处线的热能功效及银离子抗感染的作用，促进了创面的愈合，体现了物理疗法在顽固性老年足溃疡中的作用，值得在更大范围内验证和推广。12 cases of intractable diabetic foot ulcer in elderly patients was reported, systemic, topical evaluation, multi-disciplinary treatment, and optimized care program could accelerate healing process. Active carbon fiber containing silver dressing was fist used in diabetic foot care, and all ulcers healed in 6～12 weeks. This new dressing promote healing through absorption of activated carbon fibers, the effect of far red lines and the effect of silver ion on anti infection, which manifesting physical therapy assist ulcer recovery

Clinicopathological significance of SOX4 expression in primary gallbladder carcinoma

<p>Abstract</p> <p>Aim</p> <p>SOX4, as a member of the SRY-related HMG-box (SOX) transcription factor family, has been demonstrated to be involved in tumorigenesis of many human malignancies; however, its role in primary gallbladder carcinoma (PGC) is still largely unknown. The aim of this study was to investigate SOX4 expression in PGC and its prognostic significance.</p> <p>Methods</p> <p>From 1997 to 2006, 136 patients underwent resection for PGC. The median follow-up was 12.8 months. Immunostainings for SOX4 were performed on these archival tissues. The correlation of SOX4 expression with clinicopathological features including survival was analyzed.</p> <p>Results</p> <p>SOX4 was expressed in 75.0% (102/136) of PGC but not in the normal epithelium of the gallbladder. In addition, the over-expression of SOX4 was significantly associated with low histologic grade (<it>P </it>= 0.02), low pathologic T stage (<it>P </it>= 0.02), and early clinical stage (<it>P </it>= 0.03). The levels of SOX4 immunostainings in PGC tissues with positive nodal metastasis were also significantly lower than those without (<it>P </it>= 0.01). Moreover, Kaplan-Meier curves showed that SOX4 over-expression was significantly related to better overall (<it>P </it>= 0.008) and disease-free survival (<it>P </it>= 0.01). Furthermore, multivariate analyses showed that SOX4 expression was an independent risk factor for both overall (<it>P </it>= 0.03, hazard ratio, 3.682) and disease-free survival (<it>P </it>= 0.04, hazard ratio, 2.215).</p> <p>Conclusion</p> <p>Our data indicate for the first time that the over-expression of SOX4 in PGC was significantly correlated with favorable clinicopathologic features and was an independent prognostic factor for better overall and disease-free survival in patients. Therefore, SOX4 might be an auxiliary parameter for predicting malignant behavior for PGC.</p> <p>Virtual slides</p> <p>The virtual slide(s) for this article can be found here: <url>http://www.diagnosticpathology.diagnomx.eu/vs/1534825818694957</url>.</p

An In Vivo Screen Identifies PYGO2 as a Driver for Metastatic Prostate Cancer

Advanced prostate cancer displays conspicuous chromosomal instability and rampant copy number aberrations, yet the identity of functional drivers resident in many amplicons remain elusive. Here, we implemented a functional genomics approach to identify new oncogenes involved in prostate cancer progression. Through integrated analyses of focal amplicons in large prostate cancer genomic and transcriptomic datasets as well as genes upregulated in metastasis, 276 putative oncogenes were enlisted into an in vivo gain-of-function tumorigenesis screen. Among the top positive hits, we conducted an in-depth functional analysis on Pygopus family PHD finger 2 (PYGO2), located in the amplicon at 1q21.3. PYGO2 overexpression enhances primary tumor growth and local invasion to draining lymph nodes. Conversely, PYGO2 depletion inhibits prostate cancer cell invasion in vitro and progression of primary tumor and metastasis in vivo In clinical samples, PYGO2 upregulation associated with higher Gleason score and metastasis to lymph nodes and bone. Silencing PYGO2 expression in patient-derived xenograft models impairs tumor progression. Finally, PYGO2 is necessary to enhance the transcriptional activation in response to ligand-induced Wnt/β-catenin signaling. Together, our results indicate that PYGO2 functions as a driver oncogene in the 1q21.3 amplicon and may serve as a potential prognostic biomarker and therapeutic target for metastatic prostate cancer.Significance: Amplification/overexpression of PYGO2 may serve as a biomarker for prostate cancer progression and metastasis. Cancer Res; 78(14); 3823-33. ©2018 AACR

Investigation and analysis of toenail deformities in elderly diabetic patients from community

 目的  调查老年糖尿病患者足部畸形趾甲的情况，分析趾甲异常生长的影响因素。方法  对上海地区某社区卫生服务中心229例老年糖尿病患者进行足部检查，包括周围血管病变、周围神经病变、趾甲修剪情况、甲真菌感染情况及趾甲畸形的情况。结果  老年糖尿病患者足部出现趾甲畸形者118例，高达51.52%，增龄、性别、周围血管病变、周围神经病变、修剪趾甲方法及真菌感染是引起患者畸形趾甲生长的原因。结论  重视老年糖尿病患者足部趾甲的护理，做好甲真菌病的治疗，为老年患者提供专业的趾甲修剪服务，预防糖尿病足溃疡的发生与发展。Objective: To investigate the situation of toe deformities in elderly diabetic patients and then analyze the impact factors related to the abnormal growth of toenails. Methods: 229 cases from a community health service center in Shanghai were recruited. All of these patients accepted the foot examination, including determining peripheral vascular disease, peripheral neuropathy and the situation of toenail trimming, onychomycosis and toenail deformities. Results: There were 118 cases of elderly diabetics existing toenail deformities which accounted for 51.52%. Age, gender, peripheral vascular disease, peripheral neuropathy, methods of trimming toenails and fungal infection were factors resulting in toenail deformities. Conclusion: The community health service center should strengthen the care of toenails in elderly diabetic patients and treat onychomycosis appropriately while providing professional service of trimming toenails for the elderly diabetic patients