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Environmental Assessment of Tetracycline’s Residues detected in Pig Slurry and Poultry Manure

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Journal of Environmental Protection 2016年第1期7卷 82-92页

作者： Matilde Carballo Sonia Aguayo Miguel González Fernando Esperon ana de la torre Research Centre in Animal Health CISA-INIA Madrid Spain Group of Water Pollution ISC III Madrid Spain

The widespread use of antimicrobials in animal husbandry has led to an increase in concentrations of antibiotics in animal faeces. Furthermore, the spreading of this waste as fertilizer on agricultural land indirectly introduces antimicrobial residues into the environment. This study examined samples of pig slurry and poultry manure for three tetracyclines—oxytetracycline (OTC), chlortetracycline (CTC) and doxycycline (DOC) and conducted an environmental evaluation of soils. The samples were taken from manure heaps on eight broiler chicken farms and from slurry ponds on eight pig farms. The tetracycline analysis was conducted using high-performance liquid chromatography combined with tandem mass spectrometry (HPLC/MS). The risk assessment was carried out on the basis of the estimated PECsoil value and the ecotoxicological information available for terrestrial organisms. TC concentrations were between >0.01 and 1.38 mg/kg. OCT was detected in 37% of the poultry manure and in 20% of the pig slurry samples. DOC was present in 50% of pig slurry samples with an average concentration of 1.2 mg/kg, while CTC was only found in one slurry sample at a concentration of 0.56 mg/kg. Compared with published values for these two farm animals from other countries, the TC concentrations obtained in this study were low. The environmental importance of the data generated was also discussed.

关键词： Tetracyclines Pig Slurry Poultry Manure Risk Evaluation

Comparison of a Soil Vulnerability Map for Tetracycline Soil Contamination at a Global and Local Scale

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Journal of Environmental Protection 2013年第6期4卷 595-601页

作者： ana de la torre Irene Iglesias Luis Miguel Camunas Maria Jesus Munoz Matilde Carballo Research Centre in Animal Health CISA-INIACtra Algete-El Casar s/nMadridSpain

Recently, de la torre[1] provided an approach for assessing the vulnerability of European soils for tetracyclines, fluoroquinolones and sulfamides contamination using a spatial risk assessment. It allowed identifying areas where vulnerable soil more occur, providing useful information for policies designed to reduce contamination. In the current study, this approach was applied to a local level, the autonomous region of Castile and León (C&L), located in the north-west part of Spain. High accurate and reliable source data were employed to generate a soil vulnerability map for tetracyclines in the study area, attempting to improve the release and consequence risk prediction. More specifically, pig density, temperature and soil use risk estimators were improved using data from national or local databases. Result comparison between the European and the present approach showed a good agreement demonstrating the utility of the European vulnerability map to be employed not only at global level but also for deciding how to allocate limited resources on national or subnational environmental surveillance programs of antibiotics. The model application at local level using more accurate data from national or local sources, afforded a better understanding of the spatial distribution of the risk, mainly associated with the higher accuracy of the national land use database SIOSE. It could offer a useful tool for local management of the risk, such as the management of animal manures fertilization on soil.

关键词： Tetracyclines Soil Contamination Vulnerability Map Europe GIS

depression Intensity Classification from Tweets Using Fast Text Based Weighted Soft Voting Ensemble

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Computers, Materials & Continua 2024年第2期78卷 2047-2066页

作者： Muhammad Rizwan Muhammad Faheem Mushtaq Maryam Rafiq Arif Mehmood Isabel de la torre Diez Monica Gracia Villar Helena Garay Imran Ashraf department of Artificial Intelligence The Islamia University of BahawalpurBahawalnagar63100Pakistan department of Information Technology Khwaja Fareed University of Engineering and ITRYKhan64200Pakistan department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalnagar63100Pakistan department of Signal Theory and Communications and Telematic Engineering Unviersity of ValladolidPaseo de Belén 15Valladolid47011Spain Faculty of Social Science and Humanities Universidad Europea del Atlántico Isabel Torres 21Santander39011Spain department of Project Management Universidad Internacional IberoamericanaCampeche24560México Fundación Universitaria Internacional de Colombia Bogotá111611Colombia Universidad Internacional Iberoamericana AreciboPuerto Rico00613USA Universidade Internacional do Cuanza Cuito46703Angola department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541South Korea

Predicting depression intensity from microblogs and social media posts has numerous benefits and applications,including predicting early psychological disorders and stress in individuals or the general public.A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media *** study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces(APIs).A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the ***,an algorithm is developed to annotate the data into three depression classes:‘Mild,’‘Moderate,’and‘Severe,’based on International Classification of Diseases-10(ICD-10)depression diagnostic *** baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the *** FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model,which significantly increases the depression classification performance to an 84%F1 score and 90%accuracy compared to ***,a FastText-based weighted soft voting ensemble(WSVE)is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual *** proposed WSVE outperformed all baselines as well as FastText alone,with an F1 of 89%,5%higher than FastText alone,and an accuracy of 93%,3%higher than FastText *** proposed model better captures the contextual features of the relatively small sample class and aids in the detection of

关键词： depression classification deep learning FastText machine learning

Occurrence of tetracycline residues and antimicrobial resistance in gram negative bacteria isolates from cattle farms in Spain

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Advances in Bioscience and Biotechnology 2013年第2期4卷 295-303页

作者： Matilde Carballo Fernando Esperón Carlos Sacristán Miguel González Belén Vázquez Sonia Aguayo ana de la torre National Centre for Environmental Health Group of Water Pollution Instituto de Salud Carlos III Madrid Spain Research Centre in Animal Health CISA-INIA Madrid Spain

The usage of antibiotics in animal husbandry has dramatically increased the concentration of antibiotic residues and has promoted the development and abundance of antibiotic resistance in manure. When it is spread onto agricultural land, both residues of antibiotics and bacteria carrying antibiotic resistance genes may be introduced into the environment. In this research, we isolated resistant gram negative bacteria from manure produced in two dairy and two beef cattle farms, located in Madrid (Spain), to determine their resistance to seventeen representative antibiotics commonly used in veterinary therapy. A total of 63 isolates were used to assess the overall bacterial antimicrobial resistance on cattle manure samples. Predominant species were Escherichia coli and Comamonas testosteroni accounting for 25% and 19.6% of the total, respectively. The most found antimicrobial resistances in gram-negative bacteria were to tetracycline (66.7%), sulphamethoxazole (55.6%), ampicillin (52.4%), cephalothin (46.0%), chloramphenicol (44.4%), nalidixic acid (39.7%) and trimethroprim- sulphamethoxazole (33.3%). The mean of resistance and the percentage of multi-resistant bacteria in beef farms were higher and statistically significant when compared to dairy farms which is opposite from the findings of the previous studies. The presence of three tetracyclines in all manure samples was also examined with stable recoveries (76% - 82%) and high sensitivity (limit of quantification 0.015 - 0.03 μg/kg). The concentrations of tetracyclines detected (<0.015 - 10 mg/kg) were consistent to the theoretical tetracycline levels in manure in Spain according to the ex- cretion rate of these antibiotics and the values re-ported in scientific literature in other European coun- tries.

关键词： Antimicrobial Resistance Gram Negative Bacteria Cattle Manure Tetracycline

Weight gain after 35 years of age is associated with increased breast cancer risk: findings from a large prospective cohort study

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Cancer Biology & Medicine 2024年第8期21卷 651-655页

作者： Katherine de la torre Woo-Kyoung Shin Hwi-Won Lee Dan Huang Sukhong Min Aesun Shin Wonshik Han Daehee Kang department of Preventive Medicine Seoul National University College of MedicineSeoul 03080Republic of Korea department of Biomedical Sciences Seoul National University Graduate SchoolSeoul 03080Republic of Korea Division of Food and Pharmaceutical Technology Mokwon UniversityDaejeon 35349Republic of Korea Integrated Major in Innovative Medical Science Seoul National University Graduate SchoolSeoul 03080Republic of Korea Cancer Research Institute Seoul National UniversitySeoul 03080Republic of Korea department of Surgery Seoul National University College of MedicineSeoul 03080Republic of Korea Biomedical Research Institute Seoul National University HospitalSeoul 03080Republicof Korea

Adiposity affects lifetime estrogen exposure,which is a key factor in breast ***,adiposity effects,often assessed as the body mass index(BMI),on pre-and post-menopausal breast cancer risk are *** weight gain may reflect body fat mass accumulation during adulthood better than the BMI,potentially representing age-related metabolic changes.

关键词： breast cancer assessed

Low-power SiPM readout BETA ASIC for space applications

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Nuclear Science and Techniques 2024年第3期35卷 153-169页

作者： anand Sanmukh Sergio Gómez Albert Comerma Joan Mauricio Rafel Manera Andreu Sanuy Daniel Guberman Roger Catala Albert Espinya Marina Orta Oscar de la torre David Gascon departament de Física Quàntica i Astrofísica(FQA) Institut de Ciències del Cosmos(ICCUB)Universitat de Barcelona(UB)08028 BarcelonaSpain Institut d’Estudis Espacials de Catalunya(IEEC) 08034 BarcelonaSpain Electronics department Serra Hunter fellow at Polytechnic University of Catalonia(UPC)08019 BarcelonaSpain

The BETA application-specific integrated circuit(ASIC)is a fully programmable chip designed to amplify,shape and digitize the signal of up to 64 Silicon photomultiplier(SiPM)channels,with a power consumption of approximately~1 mW/*** to its dual-path gain,the BETA chip is capable of resolving single photoelectrons(phes)with a signal-to-noise ratio(SNR)>5 while simultaneously achieving a dynamic range of~4000 ***,BETA can provide a cost-effective solution for the readout of SiPMs in space missions and other applications with a maximum rate below 10 *** this study,we describe the key characteristics of the BETA ASIC and present an evaluation of the performance of its 16-channel version,which is implemented using 130 nm *** ASIC also contains two discriminators that can provide trigger signals with a time jitter down to 400 ps FWHM for 10 *** linearity error of the charge gain measurement was less than 2%for a dynamic range as large as 15 bits.

关键词： Radiation detectors Silicon photomultipliers Photon sensors Front-end electronics Mixed-mode ASICs Space technology

基于艺术治疗方法的护理干预在边缘型人格障碍患者中的应用

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International Journal of Nursing Sciences 2024年第2期11卷 205-213页

作者： ana Morales-Alonso Angela Iglesias-de-la-Iglesia Miriam Alonso-Maza Dr.Rodríguez lafora Hospital(Hospital Dr.Rodríguez lafora) MadridSpain department of Nursing and Stomatology University Rey Juan CarlosAlcorconMadridSpain

目的ZentangleR艺术治疗方法被应用于心理健康相关领域,尚未在边缘型人格障碍患者得到验证。本研究分析边缘型人格障碍患者接受ZentangleR艺术治疗方法的练习体验。方法采用现象学解释方法,对患者进行半结构化访谈。患者均已在西班牙某... 详细信息

目的ZentangleR艺术治疗方法被应用于心理健康相关领域,尚未在边缘型人格障碍患者得到验证。本研究分析边缘型人格障碍患者接受ZentangleR艺术治疗方法的练习体验。方法采用现象学解释方法,对患者进行半结构化访谈。患者均已在西班牙某医院的人格障碍治疗室接受了每个月1次,共6次ZentangleR艺术治疗。本研究中共访谈了15例患者。Smith、Flowers和larkin方法用于资料分析中的评估。结果根据研究结果,共提炼出3个类别的主题:有耕耘即有收获(参与者报告了注意力、放松、人际关系、与环境互动方面的改善,以及接受和改变的积极体验);众擎易举(患者认可在团体中感觉更好,并建立了相互联系;他们也描述了团体环境对个人行为的影响);画出自己的轨迹(通过绘画方式提供了自我表达和自我认识的媒介,通过情感表达提升了幸福感,提高了创造力,增强了自信心)。结论通过练习ZentangleR,患者可以作出灵活性和适应性等行为反应,通过焦虑管理、冲动控制改善情绪健康,学习应对问题,提高自尊或注意力。心理健康护理在边缘型人格的综合治疗及协同多样化补充性干预措施中发挥着积极作用。

关键词：艺术治疗边缘型人格障碍心理健康护理 Zentangle®

Contribution of extracellular vesicles to steatosis-related liver disease and their therapeutic potential

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World Journal of Hepatology 2024年第9期16卷 1211-1228页

作者： Margarita Montoya-Buelna Inocencia G Ramirez-Lopez Cesar A San Juan-Garcia Jose J Garcia-Regalado Mariana S Millan-Sanchez Ulises de la Cruz-Mosso Jesse Haramati ana L Pereira-Suarez Jose Macias-Barragan laboratorio de Inmunología Departamento de FisiologíaUniversidad de GuadalajaraGuadalajara 44340JaliscoMexico departamento de Ciencias de la Salud Centro Universitario de los VallesUniversidad de GuadalajaraAmeca 46600JaliscoMexico Doctorado en Ciencias Biomédicas Centro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajara 44340JaliscoMexico laboratorio de Inmunología Departamento de FisiologíaCentro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajara 44340JaliscoMexico Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes Departamento de NeurocienciasCentro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajara 44340JaliscoMexico laboratorio de Inmunobiología Departamento de Biología Celular y MolecularCentro Universitario de Ciencias Biológicas y AgropecuariasUniversidad de GuadalajaraZapopan 45200JaliscoMexico Instituto de Investigación en Ciencias Biomédicas Departamento de Microbiología y PatologíaCentro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajara 44340JaliscoMexico

Extracellular vesicles(EVs)are small particles released by many cell types in different tissues,including the liver,and transfer specific cargo molecules from originating cells to receptor *** process generally culminates in activation of distant cells and inflammation and progression of certain *** global chronic liver disease(CLD)epidemic is estimated at 1.5 billion patients *** and liver cancer are the most common risk factors for ***,hepatitis C and B virus infection and obesity are also highly associated with ***,the etiology of many CLD pathophysiological,cellular,and molecular events are *** in hepatic lipid metabolism can lead to lipotoxicity events that induce EV ***,we aimed to present an overview of EV features,from definition to types and biogenesis,with particular focus on the molecules related to steatosis-related liver disease,diagnosis,and therapy.

关键词： Extracellular vesicles Exosomes Chronic liver disease Hepatocellular carcinoma Nonalcoholic fatty liver disease Nonalcoholic steatohepatitis

Chitosan Nanoparticles as Biostimulant in Lettuce (lactuca sativa L.) Plants

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Phyton-International Journal of Experimental Botany 2024年第4期93卷 777-787页

作者： Silvia C.Ramírez-Rodríguez Pablo Preciado-Rangel Marcelino Cabrera-de la Fuente Susana González-Morales Hortensia Ortega-Ortiz Tecnológico Nacional de México Instituto Tecnológico de TorreónEjido AnaTorreónCoahuila27170México departamento de Horticultura Universidad Autónoma Agraria Antonio NarroSaltillo25315México departamento de Materiales Avanzados Centro de Investigación en Química AplicadaSaltilloCoahuila25294México

Biodegradable nanoparticles such as chitosan nanoparticles (CSNPs) are used in sustainable agriculture since theyavoid damage to the environment;CSNPs have positive effects such as the accumulation of bioactive compoundsand increased productivity in plants. This study aimed to investigate the impact of applying CSNPs on lettuce,specifically focusing on enzymatic activity, bioactive compounds, and yield. The trial was conducted using a completelyrandomized design, incorporating CSNPs: 0, 0.05, 0.1, 0.2, 0.4, and 0.8 mg mL−1. The doses of 0.4 mg mL−1improve yields up to 24.6% increases and 0.1 mg mL−1 of CSNPs increases total phenols by 31.2% and antioxidantcapacity by 34.6%. In addition, when low concentrations of CSNPs (0.05 and 0.1 mg L−1) were applied, anincrease in catalase was determined. The CSNPs represent a good alternative to be used as a biostimulant in sustainableagriculture because they improve the yield and quality of lettuce by increasing the bioactive compounds.

关键词： Biostimulant bioactive compounds enzymatic activity