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Identifying ecological corridors for Amur tigers(Panthera tigris altaica)and Amur leopards(Panthera pardus orientalis)

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Integrative Zoology 2015年第4期10卷 389-402页

作者： Dale G.MIQUELLE Vyachaslav V.ROZHNOV Victor ERMOSHIN andre a.murzin Igor G.NIKOLAEV Jose A.HERNANDEZ-BLANCO Sergie V.NAIDENKO Wildlife Conservation Society BronxNew YorkUSA A.N.Severtsov Institute of Ecology and Evolution Russian Academy of SciencesMoscowRussia Pacific Institute of Geography Far Eastern Branch of the Russian Academy of SciencesVladivostokRussia The Institute of Biology and Soils Far Eastern Branch of the Russian Academy of SciencesVladivostokRussia

The rapid explosion of human populations and the associated development of human-dominated landscapes have drastically reduced and fragmented habitat for tigers(Panthera tigris)and leopards(Panthera pardus)across Asia,resulting in multiple small ***,Amur tiger(Panthera tigris altaica)habitat in Russia has remained largely interconnected,except for a break between tigers in southwest Primorye and the southern Sikhote-Alin *** habitat patch in southwest Primorye also retains the last population of Amur leopards(Panthera pardus orientalis).Genetic differentiation of tigers in southwest Primorye and the Sikhote-Alin Mountains along with survey data suggest that habitat fragmentation is limiting movement of tigers and leopards across the Razdolnaya River *** looked at historical and recent survey data on tigers and leopards and mapped existing cover types to examine land-use patterns of both large felids and humans in the development strip along the Razdolnaya *** then used least-cost distance analyses to identify the most effective potential corridor to retain connectivity for large felids between Land of the Leopard National Park and Ussuriskii Zapovednik(Reserve).We identified a single potential corridor that still exists with a total distance of 62.5 km from Land of the Leopard National Park to Ussuriskii Zapovednik,mostly(93%)through forested *** recommend formal recognition of a Razdolnaya ecological corridor and provide specific recommendations for each of 3 proposed management sections.

关键词： Amur tiger ecological corridor Sikhote-Alin Mountains

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多相催化与均相自由基反应在药物废物销毁中的协同作用:展望

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Chinese Journal of Catalysis 2024年第3期58卷 7-14页

作者： Dmitry Yu.murzin 图尔库阿卡德米大学图尔库芬兰

人类生活大量使用药物,这些药物释放的有害成分不断进入环境,尤其是水系统中.然而,现有的传统水处理设施主要是为去除可生物降解的有机物和营养物质而设计的,对于药物和个人护理产品中的化学成分,由于它们的化学稳定性,这些处理设施往... 详细信息

人类生活大量使用药物,这些药物释放的有害成分不断进入环境,尤其是水系统中.然而,现有的传统水处理设施主要是为去除可生物降解的有机物和营养物质而设计的,对于药物和个人护理产品中的化学成分,由于它们的化学稳定性,这些处理设施往往难以有效地对其进行降解.为了应对这一挑战,需要采用更先进的技术.利用由臭氧产生的自由基的高级氧化过程,可以与多相催化技术结合,用于更有效地处理含有药物和个人护理产品的废水.从技术角度看,通过臭氧多相催化氧化技术去除水中药物应该在连续固定床反应器中完成.这种方法需要结构化的催化剂,并可以通过增材制造技术,如3D直接打印载体/催化剂,来制备.该技术为催化剂的组成和设计提供了很大的自由度,使其更适合于固定床多相-均相反应.此外,这些结构化材料可以表现出非周期性结构,如受自然启发的半有序结构.对于周期性和半周期性结构,可以使用计算流体动力学和流动成像方法研究其传热和传质过程,以指导新型结构的进一步设计,并与材料开发相结合,从而实现对活性和选择性的有效控制.在催化反应器工程方面,可以采用实验和数值模拟的研究方法,以探索不同阶段的氧化剂注入、反应器横截面大小的改变、催化剂床之间距离的调整以及循环回路的引入等因素对处理效果的影响.这些研究将有助于优化反应条件,提高处理效率,从而实现更有效地从水中去除药物和个人护理产品的目标.

关键词：反应工程臭氧氧化分子筛药物增材制造

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Distant cousins come to ABP1’s rescue

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Science China(Life Sciences) 2024年第1期67卷 219-220页

作者： andre Kuhn Dolf Weijers Laboratory of Biochemistry Wageningen UniversityStippeneng 46708WE Wageningenthe Netherlands

There are few plant processes that are not in one way or another influenced by the auxin signaling *** many roles auxin plays in plants have inspired a range of investigations towards understanding its mechanisms of *** recent years and decades,genetic analysis in the flowering plant Arabidopsis has been immensely successful in bringing a nuclear response mechanism to light(reviewed in Weijers and Wagner,2016).This system,the nuclear auxin pathway(NAP),acts by regulating gene expression,and when its components are mutated,growth and development is strongly disturbed(Weijers and Wagner,2016).

关键词： bringing disturbed Arabidopsis

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Optimal Sizing and Power Losses Reduction of Photovoltaic Systems Using PVsyst Software

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Journal of Power and Energy Engineering 2024年第7期12卷 23-38页

作者： andre Boussaibo Armel Duvalier Pene Kitmo Institute of Technology University of Ngaoundere Ngaoundere Cameroon National Advanced School of Engineering of Maroua University of Maroua Maroua Cameroon

This paper presents a method for optimizing a grid-connected photovoltaic system through an LCL filter. An algorithm based on particle swarm optimization (PSO) is used to determine the number of batteries, the number of panels in series and in parallel, as well as to evaluate the joule losses due to cable heating and the switching losses of the multilevel inverters. This system is applied to a village named YAGOUA, located in the far north of Cameroon. The evaluation of the Joule effect and the switching losses as well as the regulation of the voltage level at the point of common coupling (PCC) are carried out in PVsyst and Matlab software, then at IEEE 33 bus. This algorithm reduced the Joule losses to 1.2% and the switching losses to 2.2%. A power of 210.4 MWh is produced, to be injected in the electrical network via an LCL filter. The THD calculation gave a rate of 3.015% in accordance with the 519 standards. Synchronization through the Phase Locked Loop (PLL) is performed. After the power was injected into the grid, the voltage and current remained in phase, showing the power factor correction and the efficiency of the filter. According to NASA meteorological data, the locality of YAGOUA gives the global solar irradiation forecast of 6.8 kW/m2.

关键词： Five Level Inverter LCL Filter MPPT Power Losses PVsyst

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Remote estimates of suspended particulate matter in global lakes using machine learning models

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International Soil and Water Conservation Research 2024年第1期12卷 200-216页

作者： Zhidan Wen Qiang Wang Yue Ma Pierre andre Jacinthe Ge Liu Sijia Li Yingxin Shang Hui Tao Chong Fang Lili Lyu Baohua Zhang Kaishan Song Northeast Institute of Geography and Agroecology CASChangchunJilin130102China Department of Geology Indiana University∼Purdue UniversityIndianapolisIN44602USA University of Chinese Academy of Sciences Beijing100100China College of Geography and Urban Planning Liaocheng UniversityLiaochengChina

Suspended particulate matter(SPM)in lakes exerts strong impact on light propagation,aquatic ecosystem productivity,which co-varies with nutrients,heavy metal and micro-pollutant in *** lakes,SPM exerts strong absorption and backscattering,ultimately affects water leaving signals that can be detected by satellite *** regression models based on specific band or hand ratios have been widely used for SPM estimate in the past with moderate *** are still rooms for model accuracy improvements,and machine learning models may solve the non-linear relationships between spectral variable and SPM in *** assembled more than 16,400 in situ measured SPM in lakes from six continents(excluding the Antarctica continent),of which 9640 samples were matched with Landsat overpasses within±7 *** machine learning algorithms and two simple regression methods(linear and partial least squares models)were used to estimate SPM in lakes and the performance were *** overcome the problem of imbalance datasets in regression,a Synthetic Minority Over-Sampling technique for regression with Gaussian Noise(SMOGN)was adopted in this *** comparison,we found that gradient boosting decision tree(GBDT),random forest(RF),and extreme gradient boosting(XGBoost)models demonstrated good spatiotemporal transferability with SMOGN processed dataset,and has potential to map SPM at different year with good quality of Landsat land surface reflectance *** all the tested modeling approaches,the GBDT model has accurate calibration(n=6428,R^(2)=0.95,MAPE=29.8%)from SPM collected in 2235 lakes across the world,and the validation(n=3214,R^(2)=0.84,MAPE=38.8%)also exhibited stable ***,the good performances were also exhibited by RF model with calibration(R^(2)=0.93)and validation(R^(2)=0.86,MAPE=24.2%)*** applied GBDT and RF models to map SPM of typical lakes,and satisfactory result was *** addition,the GBDT model was evaluated b

关键词： Landsat imagery Remote estimation SPM Transferability

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Re-evaluation of recent research on metabolic utilization of energy in poultry: Recommendations for a net energy system for broilers

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Animal Nutrition 2024年第1期16卷 62-72页

作者： Jean Noblet Aye-Cho Tay-Zar Shu-Biao Wu Pairat Srichana Pierre Cozannet Pierre-andre Geraert Mingan Choct INRAE Charoen Pokphand Foods Public Company Limited (CPF) School of Environmental and Rural Science University of New England Adisseo France S.A.S.

Different energy systems have been proposed for energy evaluation of feeds for domestic animals. The oldest and most commonly used systems take into account the fecal energy loss to obtain digestible energy(DE), and fecal, urinary and fermentation gases energy losses to calculate metabolizable energy(ME). In the case of ruminants and pigs, the net energy(NE) system, which takes into account the heat increment associated with the metabolic utilization of ME, has progressively replaced the DE and ME systems over the last 50 years. For poultry, apparent ME(AME) is used exclusively and NE is not yet used widely. The present paper considers some important methodological points for measuring NE in poultry feeds and summarizes the available knowledge on NE systems for poultry. NE prediction equations based on a common analysis of three recent studies representing a total of 50 complete and balanced diets fed to broilers are proposed; these equations including the AME content and easily available chemical indicators have been validated on another set of 30 diets. The equations are applicable to both ingredients and complete diets. They rely primarily on an accurate and reliable AME value which then represents the first limiting predictor of NE value. Our analysis indicates that NE would be a better predictor of broiler performance than AME and that the hierarchy between feeds is dependent on the energy system with a higher energy value for fat and a lower energy value for protein in an NE system. Practical considerations for implementing such an NE system from the commonly used AME or AMEn(AME adjusted for zero nitrogen balance) systems are presented. In conclusion, there is sufficient information to allow the implementation of the NE concept in order to improve the accuracy of feed formulation in poultry.

关键词： Poultry Feed evaluation Net energy Energy system

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Uncovering the dominant contribution of intermediate volatility compounds in secondary organic aerosol formation from biomass-burning emissions

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National Science Review 2024年第3期11卷 150-158页

作者： Kun Li Jun Zhang David M.Bell Tiantian Wang Houssni Lamkaddam Tianqu Cui Lu Qi Mihnea Surdu Dongyu Wang Lin Du Imad El Haddad Jay G.Slowik andre S.H.Prevot Environment Research Institute Shandong University Laboratory of Atmospheric Chemistry Paul Scherrer Institute

Organic vapors from biomass burning are a major source of secondary organic aerosols(SOAs). Previous smog chamber studies found that the SOA contributors in biomass-burning emissions are mainly volatile organic compounds(VOCs). While intermediate volatility organic compounds(IVOCs) are efficient SOA precursors and contribute a considerable fraction of biomass-burning emissions, their contribution to SOA formation has not been directly observed. Here, by deploying a newly-developed oxidation flow reactor to study SOA formation from wood burning, we find that IVOCs can contribute ～70% of the formed SOA, i.e.>2 times more than VOCs. This previously missing SOA fraction is interpreted to be due to the high wall losses of semi-volatile oxidation products of IVOCs in smog chambers. The finding in this study reveals that SOA production from biomass burning is much higher than previously thought, and highlights the urgent need for more research on the IVOCs from biomass burning and potentially other emission sources.

关键词： atmospheric chemistry biomass burning secondary organic aerosol intermediate volatility organic compounds

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Possible Uses for Silymarin in Human Health: Systematic Review

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American Journal of Plant Sciences 2024年第2期15卷 95-109页

作者： Gisele Mara Silva Gonçalves andre Bernardo de Camargo Eisingher Postgraduate Program in Health Sciences Pontifical Catholic University of Campinas (PUC-Campinas) Campinas Brazil

Silymarin, from the fruit of Silybum marianum, is known for its hepatoprotective action. The aim of this study was to review the mechanisms of action of the silymarin phytocomplex to expand the possibilities for its application in human health. The search for published articles was carried out on the CAPES Journals Portal platform, which covers worldwide scientific databases. Publications from 2010 to 2022 were included. Of the 311 articles retrieved, 21 were included. The articles discuss the diversity of silymarin’s applications and the possibility of optimizing its bioavailability using drug delivery systems. Silymarin shows promise in numerous diseases, such as liver, kidney, cardiovascular, respiratory and others. Its antiviral action has been demonstrated in studies and silymarin has the potential to be used as a complementary therapy in the treatment of many diseases, with the expectation that, in the future, it will be used in therapeutic protocols for exclusive use.

关键词： Silymarin Flavonoids Phytotherapeutic Drugs

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你的奖励由谁买单:信用卡市场的再分配

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新金融 2024年第1期 59-66页

作者： Sumit Agarwal andrea Presbitero andre F.Silva Carlo Wix 新加坡国立大学国际货币基金组织经济政策研究中心美国联邦储备委员会

将信用卡奖励作为一个理想的实验进行研究,以量化零售金融市场中消费者之间的再分配。通过对有奖励和无奖励的信用卡进行比较,可以发现:无论收入如何,成熟的消费者都能从有奖励的信用卡中获利,而有的消费者则要付出代价。为了探究其背... 详细信息

将信用卡奖励作为一个理想的实验进行研究,以量化零售金融市场中消费者之间的再分配。通过对有奖励和无奖励的信用卡进行比较,可以发现:无论收入如何,成熟的消费者都能从有奖励的信用卡中获利,而有的消费者则要付出代价。为了探究其背后的机制,本文利用银行在信用卡层面主动提高账户限额的方法进行研究。结果表明:奖励卡会诱发更多的消费,使消费者有更高的未付余额;消费者在偿还信用卡时还会遵循次优平衡匹配启发模式,从而产生更高的成本;银行通过提供比无奖励的同类信用卡更低的利率来激励消费者使用奖励卡;从教育程度较低的地区到较高的地区,从较贫穷的地区到较富裕的地区,信用卡奖励以重新分配的方式扩大了现有的差距。本刊编译此篇美联储的工作论文,以期就信用卡相关问题为读者带来启发。

关键词：消费金融信用卡金融复杂性用卡奖励

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Machine Learning and Statistical Analysis in Groundwater Monitoring for Total Dissolved Solids Assessment in Winkler County, Texas

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Journal of Geoscience and Environment Protection 2024年第6期12卷 1-29页

作者： Azuka I. Udeh Osayamen J. Imarhiagbe Erepamo J. Omietimi Abdulqudus O. Mohammed Oluwatomilola andre-Obayanju Department of Geoscience University of Texas Permian Basin Odessa USA Department of Geology University of Pretoria Pretoria South Africa Department of Geology University of Benin Benin Nigeria

This research aims to develop reliable models using machine learning algorithms to precisely predict Total Dissolved Solids (TDS) in wells of the Permian basin, Winkler County, Texas. The data for this contribution was obtained from the Texas Water Development Board website (TWDB). Five hundred and ninety-three samples were obtained from two hundred and ninety-eight wells in the study area. The wells were drilled at different county locations into five aquifers, including Pecos Valley, Dockum, Capitan Reef, Edward Trinity, and Rustler aquifers. A total of fourteen different water quality parameters were used, and they include Potential hydrogen (pH), Sodium, Chloride, Magnesium, Fluoride, TDS, Specific Conductance, Nitrate, Total Hardness, Calcium, Temperature, Well Depth, Sulphate, and Bicarbonates. Four machine learning regression algorithms were developed to get a good model to help predict TDS in this area: Decision Tree regression, Linear regression, Support Vector Regression, and K-nearest neighbor. The study showed that the Decision Tree produced the best model with attributes like the coefficient of determination R2 = 1.00 and 0.96 for the training and testing, respectively. It also produced the lowest score of mean absolute error MAE = 0.00 and 0.04 for training and testing, respectively. This study will reduce the cost of obtaining different water quality parameters in TDS determination by leveraging machine learning to use only the parameters contributing to TDS, thereby helping researchers obtain only the parameters necessary for TDS prediction. It will also help the authorities enact policies that will improve the water quality in areas where drinking water availability is a challenge by providing important information for monitoring and assessing groundwater quality.

关键词： Machine Learning Regression Aquifers Winkler County Sinkholes

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