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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

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

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 waters.In lakes,SPM exerts strong absorption and backscattering,ultimately affects water leaving signals that can be detected by satellite sensors.Simple regression models based on specific band or hand ratios have been widely used for SPM estimate in the past with moderate accuracy.There are still rooms for model accuracy improvements,and machine learning models may solve the non-linear relationships between spectral variable and SPM in waters.We 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 days.Seven 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 compared.To overcome the problem of imbalance datasets in regression,a Synthetic Minority Over-Sampling technique for regression with Gaussian Noise(SMOGN)was adopted in this study.Through 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 images.In 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 performance.Further,the good performances were also exhibited by RF model with calibration(R^(2)=0.93)and validation(R^(2)=0.86,MAPE=24.2%)datasets.We applied GBDT and RF models to map SPM of typical lakes,and satisfactory result was obtained.In addition,the GBDT model was evaluated by historical SPM measurements coincident with di

关键词： Landsat imagery Remote estimation SPM Transferability

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

Dietary Modification of Lower Urinary Tract Symptoms with Fermented Whey Product

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Open Journal of Urology 2013年第2期3卷 114-120页

作者： Tiiu Kullisaar Silver Türk Margus Punab andre veskioja Epp Songisepp Kersti Zilmer Mihkel Zilmer Andrology Center Tartu University Hospital Tartu Estonia Bio-Competence Centre of Healthy Dairy Products Tartu Estonia Department of Biochemistry Tartu University Tartu Estonia Department of Microbiology Tartu Estonia

After the age of 50, the prostate begins to increase in size. This is known as benign prostatic hypertrophy (BPH). Compression of urethra by enlarged prostate causes dribbling reduced force of the urinary stream, pain and occasional bleeding or infection. This causes difficulty in urinating and requires many men to get up several times during the night to urinate. The aim of our study was to evaluate an influence of new fermented whey based product (FWP) to several biochemical parameters and lower urinary tract symptoms (LUTS). Patients from the outpatient department of Andrology Center were randomized. This study involved the patients with minor to moderate LUTS, International Prostate Symptoms Score (IPSS) range 3 - 19 but not prostatitis (NIH-Chronic Prostatitis Symptom Index (NIH-CPSI) 4 and 2-glass test negative for prostate inflammation and infection). Consumption of the FWP decreased the IPSS score in patients with moderate LUTS/BPH (p 0.001) whereas irritative and obstructive symptoms changed in parallel. There was a correlation between LUTS symptoms change and level of inflammation- and oxidative stress-related indices (blood high-sensitive C-reactive protein, hsCRP;glycated haemoglobin, HbA1c;oxidized low density lipoprotein, oxLDL;interleukine-10, IL-10 and 8-isoprostanes in the urine). Statistically significant changes in mentioned parameters occurred only in study group. Compression of urethra by enlarged prostate explains LUTS in BPH patients. Elevated oxidative stress (OxS) intensifies peroxidation of cell membrane phospholipids. This generates 8-isoprostanes (8-EPI), the prostaglandin-like compounds that can exaggerate LUTS. 8-isoprostanes may cause constriction of bladder and urethra in nanomolar concentrations. Consuming the whey-based product fermented by special lactobacilli strains may improve LUTS as well as OxS and diminish LUTS-related inflammatory response.

关键词： Lower Urinary Tract Symptoms (LUTS) Benign Prostatic Hypertrophy (BPH) Prostate Fermented Whey Product (FWP) Oxidative Stress

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你的奖励由谁买单:信用卡市场的再分配

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

Intermediate Hip Arthroplasty in Gabon: Blood Loss and Risk Factor for Transfusion

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Open Journal of Anesthesiology 2024年第4期14卷 109-117页

作者： Ghislain Edjo Nkilly Pascal Christian Nze Obiang Raphael Okoue Ondo Arthur Matsanga Stéphane Oliveira Léandre Nguiabanda Jean-Marcel Mandji-Lawson Department of Anaesthesia and Intensive Care Omar Bongo Ondimba Army Training Hospital (HIAOBO) Libreville Gabon Department of Anaesthesia and Intensive Care Jeanne Ebori Fondation Libreville Gabon Department of Anaesthesia and Intensive Care Owendo University Hospital (CHUO) Libreville Gabon Department of Anaesthesia and Intensive Care Akanda Army Training Hospital Libreville Gabon Orthopedic Surgery Service Omar Bongo Ondimba Army Training Hospital (HIAOBO) Libreville Gabon

Background: Hip arthroplasty is a surgery with a high risk of bleeding. The main objective of this study was to research risk factors for bleeding and transfusion in patients undergoing hip hemiarthroplasty in Gabon. Method: It was a retrospective, monocentric, descriptive and analytical study carried out from June 2011 to June 2021 at the Omar Bongo Ondimba army training hospital. The variables studied were demographic characteristics, biological variables, transfusion and intraoperative data. The primary outcome was intraoperative transfusion. A univariate and multivariate analysis was conducted to identify the factors associated with the occurrence of a transfusion. Results: Of the 97 patients included, the average age was 74.2 years ± 10, male predominance was 73.2%, the average ASA score was 1.9 ± 0.5, and transfusion incidence was 38.1%. The average number of RBCs transfused was 1.2 ± 0.6. Tranexamic acid was used in 11.3% of patients. The average bleeding was 450 ± 453 ml. Preoperative anemia was predictor of transfusion to be significant. Conclusion: The incidence of transfusion is law compared to total hip arthroplasty. The implementation of a patient blood management protocol is difficult given the urgency of bone repair. However, a better use of tranexamic acid could reduce this transfusion incidence.

关键词： Hip Arthroplasty Risk Factors Patients Hemiarthroplasty Gabon

Water, Sanitation and Hygiene in Lower-Level Health Care Facilities of Dar es Salaam Region in Tanzania: Status towards Achieving the Sustainable Development Goals and Way Forward

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Advances in Infectious Diseases 2024年第1期14卷 279-295页

作者： Mariam Mahamudu Hussein Mohamed Michael Habtu Dennis Rweyemamu Anyitike Mwakitalima Amour Seleman Erick Mgina Khalid Massa Grace Saguti andre Arsene Bita Fouda Zabulon Yoti Ministry of Health Dodoma Tanzania Department of Environmental and Occupational Health Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania Regional Office for Africa World Health Organization Brazzaville Republic of the Congo National Institute for Medical Research Dar es Salaam Tanzania

Background: Improving Water, Sanitation and Hygiene in health care settings is a critical prerequisite for achieving national health goals and Sustainable Development Goals (SDGs). The World Health Organization (WHO) has set a target for each United Nations member state to reach by 2030. Each member state is required to reach by 2022, 2025 and 2030 at least 60%, 80% and 100%, respectively of basic level of service of the five elements which are water, sanitation, hygiene, waste management and environmental cleaning. Methods: This study aimed to evaluate and document the current state of basic water, sanitation, and hygiene services in all lower-level health care facilities in the Dar es Salaam region of Tanzania as of July 2022. A cross-sectional study was conducted in 99 public dispensaries in the Dar es Salaam region’s five councils: Ubungo, Kigamboni, Kinondoni and Temeke Municipalities, and Ilala City. The interviewee form and observational checklists were both digitalized using the Kobo tool software. The respondents were health care facility in-charges or nurse in-charges. Data were downloaded, validated, and imported to Stata version 15 for analysis. Results: The basic WASH level per JMP is far below the target in 2022. Each member state by 2022 is required to reach at least 60% of the basic level of service of each element. We found a low coverage of basic WASH in the 99 dispensaries included in this study. The basic WASH coverage was met in only 10 (10.1%) of the dispensaries, while the remaining 89 (89.9%) dispensaries fall on limited WASH services. Conclusion: This study revealed lower coverage of basic WASH services in dispensaries. An urgent need is required to improve the status of WASH in all the dispensaries and facilitate the provision of quality health care services, patient safety and reduce health care associated infections.

关键词： Dispensaries Low Level Health Care Facilities Service Levels Basic WASH Dar es Salaam