Uphold the Original Intention and Work together for Future Development——Speech at the 35^(th)Anniversary Symposium of BES

Time flies,in the blink of an eye,it is already 2023.The journal Biomedical and Environmental Sciences(BES)has been established for thirty-five years.Today,I am honored to participate in the BES’s 35^(th) anniversary symposium,organized by the Chinese Center for Disease Control and Prevention(China CDC).Seeing Director Hongbing Shen,Deputy Director Xiaoming Shi,along colleagues from the center’s affiliated units and departments,as well as fellow researchers,we have come together for this symposium under the theme of“Looking back and looking forward”,I am not only deeply appreciative and thankful,but also envisioning a bright future for BES in the next 35 years.I would like to share my thoughts and hopes under the theme of“Review and Development”.

The Return of Civilisations

I was pleasantly surprised when visiting the new Louvre Museum in Abu Dhabi,magnificently designed,and created by the great French architect Jean Nouvel to prove the creative force of the world's diverse civilisations.All of them are represented in this imaginative space on the island of Saadiyat overlooking the Persian Gulf.

Exchanges,Mutual Learning and Looking Forward to the Future The Exhibition of Oil Paintings of China and Five Central Asian Countries

Exchanges and mutual learning between the Chinese and foreign civilizations are an important part of human cultural development.The Chinese civilization adopts an all-embracing,open and inclusive attitude to understand the different views of different civilizations on the connotation of values.The ancient Silk Road has opened a new window of friendship between countries and written a new chapter in the development of mankind.

My Favourite Teacher

Mr.Li is my favourite teacher.He teaches us Chinese.He is a tall,thin and ordinary-looking old man with thick glasses.He is always kind to all the students.He knows a lot.He can answer all the questions that we asked him.He sings many songs very well.He has a special way to make his class lively and interesting.We are all interested in learning Chinese.

Mammut:The brand's path to innovation

The perfect jacket for anyone looking for a technical allrounder.The Alto Guide is perfect for everything from day hikes to first adventures in mountaineering.Durable stretch Mammut DRYtechnology^(TM)Pro 3-layer material is breathable,waterproof and PFC-free.Multiple features,which include backpack-compatible front pockets,a helmet-compatible hood with reinforced peak,and a 2-way zipper for easy climbing harness access,make the hard-wearing Alto Guide an ideal weatherproof jacket for mountain and hiking tours.A smart choice for your mountain sport adventures:technical,functional and durable.

MEDIA WATCH

ARK OF ARCHITECTURE Sanlian Lifeweek 29 July Jindongnan,which refers to the southeast part of Shanxi Province,has always held a special place in the history of ancient Chinese architecture.Nestled deep in the western highlands of the Taihang Mountains,the region boasts a colossal reserve of ancient relics.By looking at these classical structures,one can trace the evolution of architecture through the vast expanse of time.

Snowfall Update

Julie:What are you looking at,Sam?Sam:Oh,hi,Julie.I'm looking at Fairview City's weekly snowfall update.Julie:But it's only Monday.Sam:I know.The update is for last week's snowfall.Julie:I see.It'sforthesecond weekofthis month,then.Sam:That's right.The datesare from December 8 to December 14.

Looking to the future:Innovation-driven green development

At the beginning of 2017,on behalf of the Editorial Board of Green Energy&Environment(GEE),we wish all of our readers,authors and reviewers a very happy and successful2017.Looking back to 2016,GEE has received many submissions from many countries all over the world since it was launched in April 2016.In the former three issues published,we remain committed to delivering those articles which should be

Underwater Simultaneous Localization and Mapping Based on Forward-looking Sonar

A method of underwater simultaneous localization and mapping （SLAM） based on forward-looking sonar was proposed in this paper. Positions of objects were obtained by the forward-looking sonar, and an improved association method based on an ant colony algorithm was introduced to estimate the positions. In order to improve the precision of the positions, the extended Kalman filter （EKF） was adopted. The presented algorithm was tested in a tank, and the maximum estimation error of SLAM gained was 0.25 m. The tests verify that this method can maintain better association efficiency and reduce navigatioJ~ error.

DOWNWARD LOOKING SPARSE LINEAR ARRAY 3D SAR IMAGING ALGORITHM BASED ON BACK-PROJECTION AND CONVEX OPTIMIZATION

Downward Looking Sparse Linear Array Three Dimensional SAR(DLSLA 3D SAR) is an important form of 3D SAR imaging, which has a widespread application field. Since its practical equivalent phase centers are usually distributed sparsely and nonuniformly, traditional 3D SAR algorithms suffer from low resolution and high sidelobes in cross-track dimension. To deal with this problem, this paper introduces a method based on back-projection and convex optimization to achieve 3D high accuracy imaging reconstruction. Compared with traditional SAR algorithms, the proposed method sufficiently utilizes the sparsity of the 3D SAR imaging scene and can achieve lower sidelobes and higher resolution in cross-track dimension. In the simulated experiments, the reconstructed results of both simple and complex imaging scene verify that the proposed method outperforms 3D back-projection algorithm and shows satisfying cross-track dimensional resolution and good robustness to noise.

REVIEW of the power generation equipment manufacturing industry and looking forward to its development in the 1990's

1.Through the construction during the last fourty years andespecially under the guidance of the“Reform and opening”policy,the power generation equipment manufacturing industry of Chinahas achieved tremendous development in the 1980’s.Whatever

Intelligent identification of landslides in loess areas based on the improved YOLO algorithm:a case study of loess landslides in Baoji City

Loess landslides are one of the geological hazards prevalent in mountainous areas of Loess Plateau,seriously threatening people's lives and property safety.Accurate identification of landslides is a prerequisite for reducing the risk of landslide hazards.Traditional landslide interpretation methods often have the disadvantage of being laborious and difficult to use on a large scale compared with the recently developed deep learning-based landslide detection methods.In this study,we propose an improved deep learning model,landslide detectionyou only look once(LD-YOLO),based on the existing you only look once(YOLO)model for the intelligent identification of old and new landslides in loess areas.Specifically,remote sensing images of landslides in Baoji City,Shaanxi Province,China are acquired from the Google Earth Engine platform.The landslide images of Baoji City(excluding Qianyang County)are used to establish a loess landslide dataset for training the model.The landslide data of Qianyang County is used to verify the detection performance of the model.The focal and efficient IoU(Focal-EIoU)loss function and efficient channel attention(ECA)mechanism are incorporated into the 7th version of YOLO(YOLOv7)model to construct the LD-YOLO model,which makes it more suitable for the landslide detection task.The experiments yielded an improved LD-YOLO model with average precision of 92.05%,precision of 92.31%,recall of 90.28%,and F1-score of 91.28%for loess landslide detection.The landslides in Qianyang County were divided into two test sets,new landslides and old landslides,which were used to test the detection performance of LD-YOLO for both types of landslides.The results show that LD-YOLO detects old landslides with a detection precision of 82.75%and a recall of 80%.When detecting new landslides,the detection precision is 94.29%and the recall is 91.67%.It indicates that our proposed LD-YOLO model has strong detection performance for both new and old landslides in loess areas.Through a proposed solution that can realize the accurate detection of landslides in loess areas,this paper provides a valuable reference for the application of deep learning methods in landslide identification.

Fatal cases of animal-mediated human rabies: Looking beyond sectoral prism to One Health

This issue of Asian Pacific Journal of Tropical Medicine has published a case report[1].This report detailed an atypical fatal case of fox-mediated human rabies.It once again reemphasized the importance of zoonotic disease transmission by animals(including wildlife),and a need to look introspectively in order to consider innovative solutions aimed at reducing the burden of zoonoses.Rabies continues to significantly impact human lives.

Cadmium Tolerance and Accumulation in Wild Rice Species

When exposed to cadmium(Cd),rice(Oryza sativa L.)suffers a loss in biomass as well as an increased concentration of Cd within the plant.When looking for genes that can reduce Cd accumulation or increase Cd tolerance,the wild relatives of rice are under-utilised resources.In this study,a rapid hydroponic screening system was established using known tolerant and sensitive O.sativa accessions,and found that 10μmol/L Cd concentration appeared to be the optimum for screening Cd tolerance of rice cultivars.

A Backward-Looking Optimal Current Lattice Model

An optimai current lattice model with backward-looking effect is proposed to describe the motion of traffic flow on a single lane highway. The behavior of the new model is investigated anaiytically and numerically. The stability, neutrai stability, and instability conditions of the uniform flow are obtained by the use of linear stability theory. The stability of the uniform flow is strengthened effectively by the introduction of the backward-looking effect. The numerical simulations are carried out to verify the validity of the new model. The outcomes of the simulation are corresponding to the linearly analyticai results. The analytical and numerical results show that the performance of the new model is better than that of the previous models.

My mother is looking blue

Dear editor,A 76-year-old Chinese female presented by ambulance to the Emergency Department complaining of dizziness,headache and fatigue.Her son claimed that the patient“turned blue”three hours prior to onset of the patient’s symptoms.Paramedics noted the patient’s SpO2 was 83%on room air with no improvement with a nonrebreather mask.Past medical history was signifi cant for diabetes and hypertension.Family,social and medication history were non-contributory.

Recognition of dynamically varying PRI modulation via deep learning and recurrence plot

Recognition of pulse repetition interval(PRI)modulation is a fundamental task in the interpretation of radar intentions.However,the existing PRI modulation recognition methods mainly focus on single-label classification of PRI sequences.The prerequisite for the effectiveness of these methods is that the PRI sequences are perfectly divided according to different modulation types before identification,while the actual situation is that radar pulses reach the receiver continuously,and there is no completely reliable method to achieve this division in the case of non-cooperative reception.Based on the above actual needs,this paper implements an algorithm based on the recurrence plot technique and the multi-target detection model,which does not need to divide the PRI sequence in advance.Compared with the sliding window method,it can more effectively realize the recognition of the dynamically varying PRI mo dulation.

A NEW METHOD TO COMPENSATE CLUTTER RANGE DEPENDENCE FOR FORWARD LOOKING AIRBORNE RADARS

The clutter direction-Doppler curves are not aligned on the near range bins for forward looking airborne radar. As a result, the performance of clutter suppression by Space-Time Adaptive Processing (STAP) degrades greatly because of the clutter range dependence. To deal with this problem, a new compensated method is proposed in this paper. The method rebuilds the clutter covariance matrix based on spatial high resolution Minimum Variance Distortionless Response (MVDR) spectrum, and then finds a matrix to transform the covariance matrix of short-range gate to the referred far-range gate. The method can compensate the clutter range dependence well. The simulation results show validity of the method.

Thirteen Ways of Looking at A Blackbird: Deconstruction of Binary Opposition Between Imagination and Reality

Wallace Stevens is one of five greatest poets in America in 20th century. The relation between imagination and reality is a major theme of his poems. He holds the view that the mission of poets is to build a bridge linking the world of imagination and of reality with the result of deconstructing the logic of binary opposition since the time of Plato. Thirteen Ways of Looking at A Blackbird is a representative poem that expresses Wallace’s thoughts of deconstruction. This article is to probe into how the poet establishes the reality dominated by imagination and then how he deconstructs the binary opposition between imagination and reality since the time of Plato.