Harnessing autophagy: A potential breakthrough in digestive disease treatment

Autophagy,a conserved cellular degradation process,is crucial for various cellular processes such as immune responses,inflammation,metabolic and oxidative stress adaptation,cell proliferation,development,and tissue repair and remodeling.Dysregulation of autophagy is suspected in numerous diseases,including cancer,neurodegenerative diseases,digestive disorders,metabolic syndromes,and infectious and inflammatory diseases.If autophagy is disrupted,for example,this can have serious consequences and lead to chronic inflammation and tissue damage,as occurs in diseases such as Chron's disease and ulcerative colitis.On the other hand,the influence of autophagy on the development and progression of cancer is not clear.Autophagy can both suppress and promote the progression and metastasis of cancer at various stages.From inflammatory bowel diseases to gastrointestinal cancer,researchers are discovering the intricate role of autophagy in maintaining gut health and its potential as a therapeutic target.Researchers should carefully consider the nature and progression of diseases such as cancer when trying to determine whether inhibiting or stimulating autophagy is likely to be beneficial.Multidisciplinary approaches that combine cutting-edge research with clinical expertise are key to unlocking the full therapeutic potential of autophagy in digestive diseases.

A new technology for harnessing the dye polluted water and dye collection in a chemical factory

A new technology for harnessing the dye polluted water and dye collection was developed. It is based on the enhanced evaporation by using solar, wind and air temperature energy and additional heat-electric energy. It consists of four parts: (1) evaporation carrier system (evaporation carrier and frame for evaporation carrier) for polluted water; (2)polluted water circulating system (pumping-spraying-collecting); (3)heating system; (4)workshop with polluted water reservoir-tanks and rainfall prevention roof. The polluted water was (heated in case necessary) sprayed to the evaporation carrier system and the water was evaporated when it moved in the space and downward along the carrier mainly by using natural (solar, wind and air temperature energy). In case, when there is no roof for the carrier system, the polluted water can be stored in the reservoirs (storage volume for about 20 days). The first 10-25 mm rainfall also need to be stored in the reservoirs to meet the state standard or discharging wastewater. The dye may be collected at the surface in the reservoir-tanks and the crystallized salt may be collected at the bottom plate. The black-color wastewater released by the factory is no more discharged to the surface water system of Taihu Lake Basin. About 2 kg dye and 200 kg industrial salt may be collected from each tone of the polluted water. The non-pollution production of dye may be realized by using this technology with environmental, economical and social benefits.

Harnessing Technology

In science fiction movies like Westworld, robots are awaking; in Blade Runner, the consciousness of robots is rising; and in The Matrix, people are trapped in a virtual world by robots.

Harnessing the Wind

Morocco expands its wind energy program to provide much needed clean energy resource THINK of the Kingdom of Morocco and you would not imagine wind farms stretching into the horizon. But the North African country has set itself a windfilled challenge,one that could be a model for sustainable development.Morocco aims to increase its electricity output from wind from its current 280 MW (megawatt) to 2,000 MW by 2020.

Harnessing Demographic Dividends

THE history of all developed economies and even the emerging ones have been their abilities to harness human resource into capital and use its diverse multiplier effects to create value chains spanning all other resources categories. In addition, this process unleashes outcomes that include a rise in national economic aggregates and more importantly, improved quality of living standards for citizens.

Harnessing the Sun

Chinese solar power company provides clean,affordable andsustainable energy solutions in AfricaIN most areas in Africa,poor infrastructure and unreliable power supply means life-saving vaccines are often spoiled,as they need to keep cool from the point of manufacture all the way to the point of use.

Renewable and Green Energy, Africa’s Pathway to Sustainable Development;Harnessing the Continent’s Natural Energy Sources

Renewable energy includes all forms of energy produced from renewable sources in a sustainable manner, including bioenergy, geothermal energy, hydropower, ocean energy, solar energy, and wind energy. Less than one quarter of Africa’s renewable power generation potential is utilized. Africa’s natural endowments are enormous, yet the continent experiences high energy shortage. Amongst the classifications of energy sources, renewable and green energy sources are increasingly gaining popularity due to their sustainable nature and environmental concerns. This paper explores the continent’s natural energy sources and identifies pathways to sustainable development. The paper also narrows the renewable and green energy sources obtainable on the continent and presents their contribution to the development of the continent. The awareness level of Africans towards renewable energy is discussed and the challenges of renewable and green energy sources are highlighted. Finally, the roles to be played by the government and private organizations in the development of renewable and green energy sources in Africa are discussed.

Harnessing the holobiont to alleviate the stress of aluminum toxicity to rice

Plant microbiome(including the microbiomes in the rhizosphere,phyllosphere,and endosphere)has been hailed as the second genome of the host,and plays a critical role in the health and fitness of the host.Similar to clinical medicine,microbiome transplant has been suggested to improve ecosystem restoration and crop production in degraded environment(Jurburg et al.,2022).This concept aligns with recent findings that emphasize the significant impact of soil and plant-associated microbiomes in agricultural productivity and the health of host plants(Wubs et al.,2016;Carthey et al.,2020;Mazza Rodrigues and Melotto,2023).

Harnessing science,technology,and innovation to drive synergy between climate goals and the SDGs

The United Nations passed two important resolutions,Transforming our World:The 2030 Agenda for Sustainable Development and the Paris Agreement,in 2015 to change our world.The 17 Sustainable Development Goals(SDGs)were adopted as the core of the 2030 Agenda for Sustainable Development,which set out a 15-year plan to achieve the goals.

Ant Lion Algorithm for Optimized Controller Gains for Power Quality Enrichment of Off-grid Wind Power Harnessing Units

The proposed system uses an algorithm that works on the admittance of the system,for estimating the reference values of generated currents for an off-grid wind power harnessing unit(WPHU).The controller controls the voltage and maintains the frequency within the limits while working with both linear and nonlinear loads for varying wind speeds.The admittance algorithm is simple and easy to implement and works very efficiently to generate the triggering signals for the controller of the WPHU.The wind power harnessing unit comprising of a squirrel cage induction generator,a star-delta transformer,a battery storage system and the control unit are modeled using Matlab/Simulink R2019.An isolated transformer with a star-delta configuration connects the load and the generator circuit with the controller to reduce the dc bus voltage and mitigate current in the neutral line.The response of the system during the dynamic loading depends on the best possible compensator proportional-integral(PI)gains.The antlion optimization algorithm is compared with particle swarm optimization and grey wolf optimization and is found to have the advantages of good convergence,high efficiency and fast calculating speed.It is therefore used to extract the optimal values of frequency and voltage PI gains.The simulation results of the control algorithm for the WPHU are validated in a real-time environment in a dSpace1104 laboratory set up.This algorithm is proven to have a quick response,maintain the required frequency,suppress the current harmonics,regulate voltage,help in balancing the load and compensating for the neutral current.

Harnessing chaos for broadband coupling

With the support by the National Natural Science Foundation of China,a team led by Professor Xiao Yunfeng(肖云峰)from Peking University demonstrates that the angular momentum of the photon refracted into a microresonator can be transformed dynamically by the chaotic motion,which was

Harnessing Wind

China’s wind power industry shifts into full gear The global oil crunch and environmental degradation have given rise to an ardent search for alternative and green energies throughout the world. For China, wind power is a choice one and its development is sizzling hot backed

Harnessing the Hongshuihe

The construction of China’s third largest hydropower station sets four world records In southwest China, there is a river called Hongshuihe, which originates in

Harnessing Opportunities of Our Times To Jointly Pursue Prosperity in the Asia-Pacific

At the APEC Summit, Port Moresby, 18 November 2018 Honorable Prime Minister Peter O’Neill,Dear Colleagues,It gives me great pleasure to join you in the beautiful city of Port Moresby. This is the first time for us APEC economic leaders to meet in the Pacific Islands region. We gather under the theme'HarnessingInclusiveOpportunities,Embracing the Digital Future'to review what we have achieved in our cooperation and chart the course for the future of the Asia-Pacific.

基于GRU-DRSN的双通道人体活动识别

人体活动识别(human activity recognizition, HAR)在医疗、军工、智能家居等领域有很大的应用空间。传统机器学习方法特征提取难度较大且精度不高。针对上述问题并结合传感器时序特性,提出了一种融合CBAM(convolutional block attention module)注意力机制的GRU-DRSN双通道并行模型,有效避免了传统串行模型因网络深度加深引起梯度爆炸和消失问题。同时并行结构使得两条支路具有相同的优先级,使用深度残差收缩网络(deep residual shrinkage network, DRSN)提取数据的深层空间特征,同时使用门控循环结构(gated recurrent unit, GRU)学习活动样本在时间序列上的特征,同时进行提取样本不同维度的特征,并通过CBAM模块进行特征的权重分配,最后通过Softmax层进行识别,实现了端对端的人体活动识别。使用公开数据集(wireless sensor data mining, WISDM)进行验证,模型平均精度达到了97.6%,与传统机器学习模型和前人所提神经网络模型相比,有更好的识别效果。

Efficient Real-Time Devices Based on Accelerometer Using Machine Learning for HAR on Low-Performance Microcontrollers

Analyzing physical activities through wearable devices is a promising research area for improving health assessment.This research focuses on the development of an affordable and real-time Human Activity Recognition(HAR)system designed to operate on low-performance microcontrollers.The system utilizes data from a bodyworn accelerometer to recognize and classify human activities,providing a cost-effective,easy-to-use,and highly accurate solution.A key challenge addressed in this study is the execution of efficient motion recognition within a resource-constrained environment.The system employs a Random Forest(RF)classifier,which outperforms Gradient Boosting Decision Trees(GBDT),Support Vector Machines(SVM),and K-Nearest Neighbors(KNN)in terms of accuracy and computational efficiency.The proposed features Average absolute deviation(AAD),Standard deviation(STD),Interquartile range(IQR),Range,and Root mean square(RMS).The research has conducted numerous experiments and comparisons to establish optimal parameters for ensuring system effectiveness,including setting a sampling frequency of 50 Hz and selecting an 8-s window size with a 40%overlap between windows.Validation was conducted on both the WISDM public dataset and a self-collected dataset,focusing on five fundamental daily activities:Standing,Sitting,Jogging,Walking,and Walking the stairs.The results demonstrated high recognition accuracy,with the system achieving 96.7%on the WISDM dataset and 97.13%on the collected dataset.This research confirms the feasibility of deploying HAR systems on low-performance microcontrollers and highlights the system’s potential applications in patient support,rehabilitation,and elderly care.

用于位置信息辅助复杂人体行为识别的新型深度学习框架

随着近年来智能生活理念的普及和可穿戴终端技术的快速发展,基于传感器数据的人体行为识别(human activity recognition,HAR)已引起广泛关注,并且具有重要的学术研究和商业应用价值。该文研究了增强HAR模型对用户日常简单行为(simple activity,SA)和复杂行为(complex activity,CA)的识别,并提出了一个深度学习(deep learning,DL)模型。首先,使用两个可公开获取的数据集UCI HAR和Shoaib CHA,并对其进行标准化处理。其次,使用所提出的模型提取各种动作的特征,进行人体行为识别。鉴于用户行为和位置之间的高度关联,通过独热编码技术将位置信息集成到数据集中,以提高模型的分类性能。此外,将所提出的模型与8种经典机器学习(machine learning,ML)算法和6种DL算法进行了对比。最后,评估了不同行为类型对HAR模型识别性能的影响。实验结果表明,所提出的模型在UCI HAR和Shoaib CHA数据集上的最高分类准确率分别达到了96.77%和99.13%。通过向数据集添加位置信息,HAR模型对SA和CA的分类准确率得到了显著提高。

HARRY WINSTON 偏心月相 耀目登场

HARRY WINSTON海瑞温斯顿今年夏天推出了一系列全新设计的月相腕表,以别出心裁的不对称显示布局展示了品牌的制表实力。海洋Ocean系列腕表以波澜壮阔的海洋命名,是品牌独具一格的奢华运动腕表系列。新推出的海瑞温斯顿限量版海洋Ocean系列Date Moon Phase Baguette 42毫米自动腕表的表盘采用三种全新的配色——纯白漆面、闪亮的蓝色钌晶以及绿色缎面拉丝太阳放射纹表盘,结合传统的时间显示方式,别有一番新颖美感。

Harnessing a T1 Phage-Derived Spanin for Developing Phage-Based Antimicrobial Development

The global increase in the prevalence of drug-resistant bacteria has necessitated the development of alternative treatments that do not rely on conventional antimicrobial agents.Using bacteriophage-derived lytic enzymes in antibacterial therapy shows promise;however,a thorough comparison and evaluation of their bactericidal efficacy are lacking.This study aimed to compare and investigate the bactericidal activity and spectrum of such lytic enzymes,with the goal of harnessing them for antibacterial therapy.First,we examined the bactericidal activity of spanins,endolysins,and holins derived from 2 Escherichia coli model phages,T1 and T7.Among these,T1-spanin exhibited the highest bactericidal activity against E.coli.Subsequently,we expressed T1-spanin within bacterial cells and assessed its bactericidal activity.T1-spanin showed potent bactericidal activity against all clinical isolates tested,including bacterial strains of 111 E.coli,2 Acinetobacter spp.,3 Klebsiella spp.,and 3 Pseudomonas aeruginosa.In contrast,T1 phage-derived endolysin showed bactericidal activity against E.coli and P.aeruginosa,yet its efficacy against other bacteria was inferior to that of T1-spanin.Finally,we developed a phage-based technology to introduce the T1-spanin gene into target bacteria.The synthesized non-proliferative phage exhibited strong antibacterial activity against the targeted bacteria.The potent bactericidal activity exhibited by spanins,combined with the novel phage synthetic technology,holds promise for the development of innovative antimicrobial agents.

Harnessing the power of mosquito gut microbiome in disease control

Mosquito-borne diseases,encompassing threats like dengue,Zika virus(ZIKV)infection,and malaria,pose a sig-nificant challenge to global public health security,evoking widespread concern.The gravity of the situation is un-derscored by some staggering statistics:over 3.9 billion people in more than 120 countries confront the imminent threat of some of the most epidemiologically significant mosquito-borne viruses;in 2021 alone,malaria accounted for 247 million cases,resulting in an estimated 619,000 deaths globally.