AIDA,澳大利亚全能设计军团的助推器 鼓励设计和创新,致力于全球设计产业影响力

在这个比创意比设计的竞争时代,所有跟设计有关的场面,都衍变成一场场有输有赢的游戏。而全世界都在用智慧的设计商机来角逐,让生活变得更加丰盛多彩。

基于边界分布注意引导的结直肠腺体分割网络

从结直肠组织病理图中自动精确地分割腺体轮廓对结直肠病理诊断有极大帮助,然而,腺体之间间隙狭小且不同等级的腺体具有形态变异性,准确地分割出每个腺体实例具有很大的挑战。为此,本文提出了一种基于注意力的边界引导网络用于腺体分割。具体来说,本方法在边界分支中使用理想的边界图进行监督,引入全局特征整合模块提取腺体边界,并输入后续的解码阶段辅助腺体分割。通过多尺度注意力模块提取多尺度上下文信息,增大模型的感受野。提出边界注意融合模块补充边界细节信息,进一步细化分割结果,得到最终的腺体分割图。所提出模型的有效性在公开的结直肠腺癌数据集GlaS上得到了验证,取得了优于其他网络的性能。

Outsmarting Android Malware with Cutting-Edge Feature Engineering and Machine Learning Techniques

The growing usage of Android smartphones has led to a significant rise in incidents of Android malware andprivacy breaches.This escalating security concern necessitates the development of advanced technologies capableof automatically detecting andmitigatingmalicious activities in Android applications(apps).Such technologies arecrucial for safeguarding user data and maintaining the integrity of mobile devices in an increasingly digital world.Current methods employed to detect sensitive data leaks in Android apps are hampered by two major limitationsthey require substantial computational resources and are prone to a high frequency of false positives.This meansthat while attempting to identify security breaches,these methods often consume considerable processing powerand mistakenly flag benign activities as malicious,leading to inefficiencies and reduced reliability in malwaredetection.The proposed approach includes a data preprocessing step that removes duplicate samples,managesunbalanced datasets,corrects inconsistencies,and imputes missing values to ensure data accuracy.The Minimaxmethod is then used to normalize numerical data,followed by feature vector extraction using the Gain ratio andChi-squared test to identify and extract the most significant characteristics using an appropriate prediction model.This study focuses on extracting a subset of attributes best suited for the task and recommending a predictivemodel based on domain expert opinion.The proposed method is evaluated using Drebin and TUANDROMDdatasets containing 15,036 and 4,464 benign and malicious samples,respectively.The empirical result shows thatthe RandomForest(RF)and Support VectorMachine(SVC)classifiers achieved impressive accuracy rates of 98.9%and 98.8%,respectively,in detecting unknown Androidmalware.A sensitivity analysis experiment was also carriedout on all three ML-based classifiers based on MAE,MSE,R2,and sensitivity parameters,resulting in a flawlessperformance for both datasets.This approach has substantial potential for real-world applications and can serve asa valuable tool for preventing the spread of Androidmalware and enhancing mobile device security.

Image Fusion Using Wavelet Transformation and XGboost Algorithm

Recently,there have been several uses for digital image processing.Image fusion has become a prominent application in the domain of imaging processing.To create one final image that provesmore informative and helpful compared to the original input images,image fusion merges two or more initial images of the same item.Image fusion aims to produce,enhance,and transform significant elements of the source images into combined images for the sake of human visual perception.Image fusion is commonly employed for feature extraction in smart robots,clinical imaging,audiovisual camera integration,manufacturing process monitoring,electronic circuit design,advanced device diagnostics,and intelligent assembly line robots,with image quality varying depending on application.The research paper presents various methods for merging images in spatial and frequency domains,including a blend of stable and curvelet transformations,everageMax-Min,weighted principal component analysis(PCA),HIS(Hue,Intensity,Saturation),wavelet transform,discrete cosine transform(DCT),dual-tree Complex Wavelet Transform(CWT),and multiple wavelet transform.Image fusion methods integrate data from several source images of an identical target,thereby enhancing information in an extremely efficient manner.More precisely,in imaging techniques,the depth of field constraint precludes images from focusing on every object,leading to the exclusion of certain characteristics.To tackle thess challanges,a very efficient multi-focus wavelet decomposition and recompositionmethod is proposed.The use of these wavelet decomposition and recomposition techniques enables this method to make use of existing optimized wavelet code and filter choice.The simulated outcomes provide evidence that the suggested approach initially extracts particular characteristics from images in order to accurately reflect the level of clarity portrayed in the original images.This study enhances the performance of the eXtreme Gradient Boosting(XGBoost)algorithm in detecting brain malignancies with greater precision through the integration of computational image analysis and feature selection.The performance of images is improved by segmenting them employing the K-Means algorithm.The segmentation method aids in identifying specific regions of interest,using Particle Swarm Optimization(PCA)for trait selection and XGBoost for data classification.Extensive trials confirm the model’s exceptional visual performance,achieving an accuracy of up to 97.067%and providing good objective indicators.

回火温度对22MnCrNiMo系泊链钢焊缝组织与性能的影响

研究了不同回火温度对22MnCrNiMo系泊链钢(R4s)闪光焊缝区组织与性能变化的影响。淬火工艺优先采用循环淬火(水冷),结合工厂实际生产温度及理论相变点,淬火温度为920℃。回火温度300、400、500、600℃,时间为30 min。结果表明,随着回火温度升高,内应力逐渐降低,高温600℃回火时,焊缝区得到回火索氏体组织,焊缝区抗拉强度为1071 MPa,屈服强度为1021 MPa,延伸率达17%,断面收缩率为66.60%,此时焊缝区强度和韧性都得到最好配合。

Swarm-LSTM: Condition Monitoring of Gearbox Fault Diagnosis Based on Hybrid LSTM Deep Neural Network Optimized by Swarm Intelligence Algorithms

Nowadays,renewable energy has been emerging as the major source of energy and is driven by its aggressive expansion and falling costs.Most of the renewable energy sources involve turbines and their operation and maintenance are vital and a difficult task.Condition monitoring and fault diagnosis have seen remarkable and revolutionary up-gradation in approaches,practices and technology during the last decade.Turbines mostly do use a rotating type of machinery and analysis of those signals has been challenging to localize the defect.This paper proposes a new hybrid model wherein multiple swarm intelligence models have been evaluated to optimize the conventional Long Short-Term Memory(LSTM)model in classifying the faults from the vibration signals data acquired from the gearbox.This helps to analyze the performance and behavioral patterns of the system more effectively and efficiently which helps to suggest for replacement of the unit with higher precision.The results have demonstrated that the proposed hybrid modeling approach is effective in classifying the faults of the gearbox from the time series data and achieve higher diagnostic accuracy in comparison to the conventional LSTM methods.

Multi-year analyses on three populations reveal the first stable QTLs for tolerance to rain-induced fruit cracking in sweet cherry (Prunus avium L.)

Rain-induced fruit cracking is a major problem in sweet cherry cultivation.Basic research has been conducted to disentangle the physiological and mechanistic bases of this complex phenomenon,whereas genetic studies have lagged behind.The objective of this work was to disentangle the genetic determinism of rain-induced fruit cracking.We hypothesized that a large genetic variation would be revealed,by visual field observations conducted on mapping populations derived from well-contrasted cultivars for cracking tolerance.Three populations were evaluated over 7–8 years by estimating the proportion of cracked fruits for each genotype at maturity,at three different areas of the sweet cherry fruit:pistillar end,stem end,and fruit side.An original approach was adopted to integrate,within simple linear models,covariates potentially related to cracking,such as rainfall accumulation before harvest,fruit weight,and firmness.We found the first stable quantitative trait loci(QTLs)for cherry fruit cracking,explaining percentages of phenotypic variance above 20%,for each of these three types of cracking tolerance,in different linkage groups,confirming the high complexity of this trait.For these and other QTLs,further analyses suggested the existence of at least two-linked QTLs in each linkage group,some of which showed confidence intervals close to 5 cM.These promising results open the possibility of developing marker-assisted selection strategies to select cracking-tolerant sweet cherry cultivars.Further studies are needed to confirm the stability of the reported QTLs over different genetic backgrounds and environments and to narrow down the QTL confidence intervals,allowing the exploration of underlying candidate genes.

Is There Any Indication for Prophylactic Brain Irradiation in the Management of Small Cell Prostate Cancer?

Small cell prostate carcinoma (SCPC) is an extremely rare pathology with an aggressive behavior, characterized by early brain metastases. We describe three cases of SCPC where brain metastases occurred despite response to chemotherapy. The benefit of prophylactic brain irradiation (PBI), as part of the management of SCPC, is discussed and compared to its indications in small cell lung cancer.

Complete Remission by Primary Chemotherapy of Advanced Non-Seminomatous Germ Cell Tumor in an Intra-Abdominal Testis

Ectopic testis predisposes to a high risk of germ cell tumor development. Treatment of advanced testicular germ cell tumor developing in an uncorrected abdominal testis is based on primary chemotherapy followed by removal of the testis along with residual masses. However, persistence of viable tumor particularly in the testis is always noted since testis penetration of chemotherapeutic agents is reduced. We report a case of complete pathological remission of a patient with advanced non-seminomatous germ cell tumor in intra-abdominal testis by primary chemotherapy alone, with a review of the literature.

A New Hybrid SARFIMA-ANN Model for Tourism Forecasting

Many countries developed and increased greenery in their country sights to attract international tourists.This planning is now significantly contributing to their economy.The next task is to facilitate the tourists by sufficient arrangements and providing a green and clean environment;it is only possible if an upcoming number of tourists’arrivals are accurately predicted.But accurate prediction is not easy as empirical evidence shows that the tourists’arrival data often contains linear,nonlinear,and seasonal patterns.The traditional model,like the seasonal autoregressive fractional integrated moving average(SARFIMA),handles seasonal trends with seasonality.In contrast,the artificial neural network(ANN)model deals better with nonlinear time series.To get a better forecasting result,this study combines the merits of the SARFIMA and the ANN models and the purpose of the hybrid SARFIMA-ANN model.Then,we have used the proposed model to predict the tourists’arrival inNew Zealand,Australia,and London.Empirical results showed that the proposed hybrid model outperforms in predicting tourists’arrival compared to the traditional SARFIMA and ANN models.Moreover,these results can be generalized to predict tourists’arrival in any country or region with a complicated data pattern.

“Thumb’s off” for acrometastasis of renal cell carcinoma: Is there a role for acrometastasectomy in the era of targeted therapy?

Dear Editor,Malignant tumours of the hand are relatively uncommon.Acrometastasis,defined as metastatic bone lesions of the hand or feet are exceedingly rare,with a reported incidence rate of between 0.007%and 0.2%of all metastatic lesions[1].Acrometastasis of metastatic renal cell carcinoma(mRCC)accounts for only 10%e12%of the reported cases with majority of cases originating from primary lung cancer.The presentation poses a diagnostic and management dilemma and is usually delayed as the symptoms and signs are similar to infective or benign conditions.Typically the prognosis is grim[2,3].In this rarest of rare cases,we report a patient of renal cell carcinoma(RCC)with metastasis to the right shoulder and acrometastasis of the right thumb.We highlight the multidisciplinary team approach utilized and the management by multimodal therapy to achieve the best palliative outcome.

Bt cotton seed purity in Burkina Faso:status and lessons learnt

Background:Since the commercial release of Bt cotton in Burkina Faso in 2009,the issue of seed purity in producers’fields has rarely been addressed in an unbiased and objective manner.The potential for contamination of conventional seed varieties with Bt traits and the consequent threat to the continuation of organic cotton production has been documented.However,studies are rare on the varietal purity of Bt cotton seeds,despite the implications for the effectiveness and sustainability of their use.This paper compensates for the lack of research on the varietal purity of cotton seeds in Burkina Faso by reporting the results of Enzyme linked immunosorbent assay tests collected in 2015 on samples of both conventional and Bt varieties from 646 fields.Results:According to the conservative criteria used to declare the presence of a Bt gene in a given variety(more than 10%of seeds of conventional variety exhibit Bt traits,and at least 90%of seeds of Bt variety exhibit Bt traits),seed purity was very questionable for both types of variety.For the supposedly conventional variety,the Cry1Ac gene was observed in 63.6%of samples,the Cry2Ab gene was observed in 59.3%of samples,and both genes were detected in 52.2%of the seed samples.Only 29.3%of the seeds that were supposed to be of conventional type contained no Bt genes.Conversely,for the labeled Bt variety,the Cry1Ac gene was found in only 59.6%of samples,the Cry2Ab gene was found in 53.6%of the samples,and both genes were found in 40.4%of the samples.Finally,for the seeds that were supposed to contain both genes(Bollguard 2),both Cry1Ac and Cry2Ab genes were found in only 40.4%of the samples,only one of the genes was found in 32.4%of the samples,and 27.2%of the seeds in the samples contained neither.Two factors are responsible for the severe lack of seed purity.First,conventional varieties are being contaminated with Bt traits because of a failure to revise the seed production scheme in Burkina Faso to prevent cross-pollination.Second,the original Bt seeds provided to Burkina Faso lacked varietal purity.The organic sector plays a very minor role in the cotton sector of Burkina Faso(production of organic cotton totaled 453 t in 2018/2019,out of national cotton production of 183000 t).Nevertheless,the lack of purity in conventional seed varieties is a threat to efforts to expand certified organic cotton production.The poor presence of Bt proteins in supposed Bt varieties undermines their effectiveness in controlling pests and increases the likelihood of the development of resistance among pest populations.Conclusion:Our results show the extent of purity loss when inadequate attention is paid to the preservation of seed purity.Pure conventional seeds could vanish in Burkina Faso,while Bt seeds do not carry the combination of the expected Bt traits.Any country wishing to embark on the use of Bt cotton,or to resume its use,as in the case of Burkina Faso,must first adjust its national seed production scheme to ensure that procedures to preserve varietal purity are enforced.The preservation of varietal purity is necessary to enable the launch or the continuation of identity-cotton production.In addition,the preservation of varietal purity is necessary to ensure the sustainable effectiveness of Bt cotton.In order to ensure that procedures to preserve varietal purity are observed,seed purity must be tested regularly,and test results must be published.

Climatic niche shift of an invasive shrub (Ulex europaeus): a global scale comparison in native and introduced regions

Aims Invasive species,which recently expanded,may help understand how climatic niche can shift at the time scale of the current global change.Here,we address the climatic niche shift of an invasive shrub(common gorse,Ulex europaeus)at the world and regional scales to assess how it could contribute to increasing invasibility.Methods Based on a 28187 occurrences database,we used a combination of 9 species distribution models(SDM)to assess regional climatic niche from both the native range(Western Europe)and the introduced range in different parts of the world(North-West America,South America,North Europe,Australia and New Zealand).Important Findings Despite being restricted to annual mean temperature between 4℃ and 22℃,as well as annual precipitation higher than 300 mm/year,the range of bioclimatic conditions suitable for gorse was very large.Based on a native versus introduced SDM comparison,we highlighted a niche expansion in North-West America,South America and to a lesser degree in Australia,while a niche displacement was assessed in North Europe.These niche changes induced an increase in potential occupied areas by gorse by 49,111,202 and 283%in Australia,North Europe,North-West America and South America,respectively.On the contrary,we found no evidence of niche change in New Zealand,which presents similar climatic condition to the native environment(Western Europe).This study highlights how niche expansion and displacement of gorse might increase invasibility at regional scale.The change in gorse niche toward new climatic conditions may result from adaptive plasticity or genetic evolution and may explain why it has such a high level of invasibility.Taking into account the possibility of a niche shift is crucial to improve invasive plants management and control.

普通金雀花种群在高温下的本土和入侵幼苗抗旱性

入侵物种的气候生长需求在其本土和非本土环境之间保持一致的假设是评估入侵风险的关键生态学问题。本研究通过生长箱实验,比较水分和温度对普通金雀花幼苗(Ulex europaeus L.)本土种群和入侵种群生长和死亡率的影响。从本土(法国大陆和西班牙)和非本土(新西兰、加那利群岛和留尼旺岛)的5个地区的20个种群中采集了种子样本。幼苗在两种温度处理(环境温度和高温)和两种水处理(灌溉和干旱)中生长超过36天。温度升高被定义为在不同国家的生态位边缘观察到的最高温度。虽然温度升高增加了幼苗的生长,但干旱处理增加了死亡率并限制了幼苗的生长。在高温和干旱条件下,本土种群的死亡率(53%)高于入侵种群(16%)。在这些受限的气候条件下,入侵幼苗的地上和地下发育也好于本土幼苗。虽然表型可塑性在本土种群和入侵种群之间没有差异,但种群之间总干物质生物量的差异可能与起源气候(尤其是降水)的差异有关。评估入侵物种种群之间表型变化的重要性对于确定其气候分布范围的边缘以及对突出应集中管理以限制其传播的区域都至关重要。

如何应对多样化需求

近年来日本国内针对冲压加工行业基础技术的要求，由于受到国内生产行业的空洞化问题以及追求高附加价值的高度生产模式的影响已经呈现了饱和状态，另外，在追求高附加价值也就是如何降低采购成本的努力也达到了极限。在以上背景下，如何把附加价值提高的手段更上一层楼是我们冲床生产厂家的一个重大课题。

存在于郊区住宅中的“外环境”

这是位于东京的郊区的一个三口之家住宅。尽管历经几代的变迁，建筑仍保持着原始的状态。这里与一条河道相邻周围是密集的住宅区。因此该项目希望在这样的环境密度下讨论建筑与外部空间的关系。