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Hybrid generative regressionbased deep intelligence to predict the risk of chronic disease

International Journal of Intelligent Computing and Cybernetics 2022年第1期15卷 144-164页

作者： Sandeep Kumar Hegde monica r.mundada Department of Computer Science and Engineering M.S.Ramaiah Institute of TechnologyBangaloreIndia Department of Computer Science and Engineering NMAM Institute of TechnologyNitteIndia Visvesvaraya Technological University BelagaviIndia

Purpose-Chronic diseases are considered as one of the serious concerns and threats to public health across the *** such as chronic diabetes mellitus(CDM),cardio vasculardisease(CVD)and chronic kidney disease(CKD)are major chronic diseases responsible for millions of *** of these diseases is considered as a risk factor for the other two ***,noteworthy attention is being paid to reduce the risk of these *** amount of medical data is generated in digital form from smart healthcare appliances in the current *** numerous machine learning(ML)algorithms are proposed for the early prediction of chronic diseases,these algorithmic models are neither generalized nor adaptive when the model is imposed on new disease ***,these algorithms have to process a huge amount of disease data iteratively until the model *** limitation may make it difficult forMLmodels to fit and produce imprecise results.A single algorithm may not yield accurate ***,an ensemble of classifiers built from multiple models,that works based on a voting principle has been successfully applied to solve many classification *** purpose of this paper is to make early prediction of chronic diseases using hybrid generative regression based deep intelligence network(HGrDIN)***/methodology/approach-In the proposed paper generative regression(Gr)model is used in combination with deep neural network(DNN)for the early prediction of chronic *** Gr model will obtain prior knowledge about the labelled data by analyzing the correlation between features and class ***,the weight assignment process of DNN is influenced by the relationship between attributes rather than random *** knowledge obtained through these processes is passed as input to the DNN network for further *** the inference about the input data instances is drawn at the DNN through the Gr model,the model is named as

关键词： Deep neural network Generative regression Chronic disease regularization Maximum likelihood estimation

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Empagliflozin reduces brain pathology in Alzheimer's disease and type 2 diabetes

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Neural regeneration research 2024年第6期19卷 1189-1190页

作者： Carmen Hierro-Bujalance monica Garcia-Alloza Division of Physiology School of MedicineUniversidad de Cadiz Instituto de Investigacion e Innovacion en Ciencias Biomedicas de la Provincia de Cadiz (INIBICA) Salus Infirmorum-Universidad de Cadiz

Alzheimer’s disease(AD) and type 2 diabetes(T2D): More than 55 million people suffer from dementia, and it is expected that over 150 million people will suffer from this disease by 2050. AD is the most common type of dementia and while aging remains the main risk factor to suffer it, previous studies have also shown that metabolic disorders, and T2D specifically, are also major contributors(Wang et al., 2012).

关键词： INHIBITOrS

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Clinical profile and risk factors of symptomatic and asymptomatic hypoglycemia in neonates admitted to NICU in a tertiary care center: A cross-sectional study

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Journal of Acute Disease 2024年第1期13卷 31-35页

作者： Kiran Bhojraj Bhaisare Shivprasad Kachrulal mundada Nehal Bharat Shah Vilasrao Deshmukh Government Medical College LaturIndia

Objective:To investigate the clinical profile and risk factors of symptomatic and asymptomatic hypoglycemia in neonates admitted to a neonatal intensive care unit in a tertiary care ***:The prospective observational study was conducted in a tertiary care center in the Specialty Department of Pediatric.196 Newborn babies with blood glucose levelsre examined with a simple random sampling method between December 2019 and November *** and neonatal risk factors and clinical signs were recorded and compared between symptomatic and asymptomatic ***:The proportion of symptomatic hypoglycemia neonates born to gestational diabetes mellitus mothers was significantly higher(23.4%vs.8.4%)(Pr gestational age,low birth weight,respiratory distress syndrome,hypothermia,and endocrine disorders were risk *** death rate in asymptomatic hypoglycemia neonates was significantly higher(58%vs.39%)(Prnal gestational diabetes mellitus is associated with symptomatic hypoglycemia and asymptomatic hypoglycemia is associated with neonatal *** is important to take vigilance and timely interventions to address associated symptoms,particularly poor feeding,in the management of neonatal hypoglycemia.

关键词： Hypoglycemia Neonatal diabetes Symptomatic Asymptomatic Newborns hypoglycemia Diabetic infants Prevalence

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A review of ethnobotanical studies reveals over 500 medicinal plants in Mindanao,Philippines

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Plant Diversity 2024年第5期46卷 551-564页

作者： Joeime F.Meñiza monica M.Pasco Jemer A.Alimbon Department of Teacher Education UM Tagum CollegeTagum City8100Davao del Norte Philippines

Medicinal plants have long been used to treat various diseases in both indigenous and non-indigenous populations of Mindanao,***,we extracted data from ethnobotanical studies to compile a comprehensive list of these medicinal plants and identify how and for what purpose they are most commonly *** identified 530 verified medicinal plant species across 372 genera in 118 *** two most frequently cited species were Euphorbia hirta and Psidium *** most represented family was Fabaceae and the most represented genus was Ficus.A total of 28 medicinal plant species are designated as threatened at the national or global level;of these,11 are endemic to the *** plant preparations most commonly use leaves for oral administration to treat various diseases such as digestive issues,including *** study underscores the need for further ethnobotanical investigations,particularly in areas lacking *** also emphasizes the need for conservation of threatened and endemic medicinal plants to ensure sustainable utilization of this valuable resource.

关键词： Ethnobotany Medicinal plants Mindanao Philippines

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Contraceptive behaviors and awareness in an urban slum community of south India

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Asian pacific Journal of reproduction 2024年第4期13卷 160-168页

作者： monica Albert Sekhar Shanthi Edward Angeline Grace Sushmitha G Shirley Esther Priscilla Department of Community Medicine Sree Balaji Medical College and Hospital(SBMCH)ChennaiIndia

Objective:To assess the factors associated with knowledge,attitude and behavior of contraception use among urban slum population in ***:A cross-sectional study was conducted in the urban slum of Anakaputhur,*** couples between ages of 19-49 years and living in slum areas were taken up for the study by simple random *** women,postnatal and postmenopausal women were excluded from the *** collection was done using a pretested structured questionnaire focusing on details regarding contraception knowledge,attitude,and *** analysis was done using IBM SPSS version *** test like Chi square and odds ratio(Or)were used to identify association between knowledge,attitude,and behavior of contraception with the associated variables and enter method of logistic regression analysis was ***:Out of the 360 respondents,228 were females,with a mean age of(34±5)*** 43%demonstrated adequate knowledge of contraception use,and 91%were aware of at least one contraceptive ***,72%exhibited a positive attitude towards contraceptive ***,43%(155 individuals)did not utilize any contraceptive *** contraceptive users,intrauterine devices were the most commonly adopted,followed by barrier methods and female *** was significant association between knowledge of contraception and education(aOr 7.29,95%CI 2.93-18.10,Pr 2.04,95%CI 1.19-3.50,Pr 3.66,95%CI 1.71-7.85,Pr 3.97,95%CI 2.12-7.49,Pregarding attitude towards contraception use,education(aOr 8.54,95%CI 2.35-31.03,Pr 0.15,95%CI 0.06-0.37,Pr 0.53,95%CI 0.28-0.99,Pr 4.42,95%CI 1.97-9.92,Pr 9.83,95%CI 3.63-26.58,Pr of children(aOr 10.04,95%CI 4.26-23.66,Pre the variables that had a significant ***:These findings underscore the imperative for enhanced d

关键词： Family planning Unmet need Sterilization Knowledge Practice Urban slum

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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

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Non-invasive prenatal testing can detect silent cancers in expecting mothers

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Genes & Diseases 2024年第2期11卷 585-588页

作者： Alessandro Ottaiano monica Ianniello Nadia Petrillo Mariachiara Santorsola Luigia De Falco Salvatore Giovanni Castaldi Maria Antonietta Castaldi Valentina Giudice Carmine Selleri Giovanni Savarese Unit of Innovative Therapies for Abdominal Metastases Istituto Nazionale Tumori di NapoliIRCCS “G.Pascale”Via Mariano SemmolaNapoli 80131Italy AMES Centro Polidiagnostico Strumentale SRLVia Padre Carmine Fico 24Casalnuovo Di Napoli 80013Italy Specialization School of Clinical Pathology Università degli Studi di SalernoVia Giovanni Paolo II 132Fisciano 84084Italy Unit of High-risk Pregnancy and Prenatal Diagnosis University Hospital “San Giovanni di Dio e Ruggi d'Aragona”Via San LeonardoSalerno 84125Italy Hematology and Transplant Center University Hospital “San Giovanni di Dio e Ruggi d'Aragona”Via San LeonardoSalerno 84125Italy Department of Medicine Surgery and Dentistry“Scuola Medica Salernitana”Via Salvador Allende 43Baronissi 84081Italy

Pregnancy is a unique physiological state in which several changes *** of the most important aspects is the maternal immune system,which sets to tolerate the presence of thedeveloping fetus(a semi-allogeneic organism),while at the same time providing protection against pathogens.1 Pregnancy has long been known to affect the risk of certain cancers including breast cancer in the short term,gestational trophoblastic disease(GTD),cervical cancer,and melanoma.2,3 The reasons for the increased risk of these cancers during pregnancy are not fully understood,but several hypotheses have been proposed as the hormonal and immune system changes.

关键词： mother cancers fetus

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Evaluation of ruminal methane and ammonia formation and microbiota composition as affected by supplements based on mixtures of tannins and essential oils using rusitec

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Journal of Animal Science and Biotechnology 2024年第4期15卷 1607-1622页

作者： Giulia Foggi Melissa Terranova Matteo Daghio Sergej L.Amelchanka Giuseppe Conte Simon Ineichen monica Agnolucci Carlo Viti Alberto Mantino Arianna Buccioni Michael Kreuzer Marcello Mele Department of Agriculture Food and Environment(DAFE)University of Pisa56124 PisaItaly AgroVet‑Strickhof ETH ZurichLindauSwitzerland Department of Agriculture FoodEnvironment and ForestryUniversity of FlorenceFlorence 50144Italy Centro Di ricerche Agro‑Ambientali“E.Avanzi” University of PisaPisa 56122Italy School of Agricultural Forest and Food Sciences HAFLBern University of Applied SciencesZollikofenSwitzerland Institute of Agricultural Sciences ETH ZurichLindauSwitzerland

Background Dietary supplements based on tannin extracts or essential oil compounds(EOC)have been repeatedly reported as a promising feeding strategy to reduce the environmental impact of ruminant husbandry.A previous batch culture screening of various supplements identified selected mixtures with an enhanced potential to mitigate ruminal methane and ammonia *** these,Q-2(named after quebracho extract and EOC blend 2,composed of carvacrol,thymol,and eugenol)and C-10(chestnut extract and EOC blend 10,consisting of oregano and thyme essential oils and limonene)have been investigated in detail in the present study with the semi-continuous rumen simulation technique(rusitec)in three independent *** this purpose,Q-2 and C-10,dosed according to the previous study,were compared with a non-supplemented diet(negative control,NC)and with one supplemented with the commercial EOC-based Agolin^(r) ruminant(positive control,PC).results From d 5 to 10 of fermentation incubation liquid was collected and analysed for pH,ammonia,protozoa count,and gas *** residues were collected for the determination of ruminal *** d 10,samples of incubation liquid were also characterised for bacterial,archaeal and fungal communities by high-throughput sequencing of 16S rrNA and 26S ribosomal large subunit gene *** of the duration of the fermentation period,Q-2 and C-10 were similarly efficient as PC in mitigating either ammonia(-37%by Q-2,-34%by PC)or methane formation(-12%by C-10,-12%by PC).The PC was also responsible for lower feed degradability and bacterial and fungal richness,whereas Q-2 and C-10 effects,particularly on microbiome diversities,were limited compared to *** All additives showed the potential to mitigate methane or ammonia formation,or both,in vitro over a period of 10 ***,several differences occurred between PC and Q-2/C-10,indicating different mechanisms of *** pronounced defaunation caused by PC a

关键词： Additive Bacteria Continuous culture Degradability Fermentation Fungi Greenhouse gas In vitro Microbiome rumen

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Bloom-forming cyanobacteria and dinoflagellates in five Argentinian reservoirs:Multi-year sampling

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Water Biology and Security 2024年第1期3卷 28-36页

作者： Florencia Soledad Alvarez Dalinger Borja Claudia Nidia Veronica Laura Lozano Liliana Beatriz Morana María monica Salusso Facultad de Ciencias Naturales Universidad Nacional de SaltaAvenida Bolivia 5150Salta4400Argentina Consejo Nacional de Investigaciones Científicas y T'ecnicas(CONICET) Godoy Cruz 2290Ciudad Autonoma de Buenos AiresArgentina

Harmful algal blooms are important threats to reservoir *** a 15-year period,we sampled five Argentinian reservoirs to identify the responsible species for harmful algal blooms and determine the water quality factors driving their *** reservoirs exhibit diverse morphological and hydrological characteristics and are distributed across varying climatic *** blooms included an array of species,including toxin producers such as raphidiopsis raciborskii,Aphanizomenon gracile,and Microcystis *** contrast,dinoflagellate blooms were predominantly characterized by *** cyanobacterial blooms primarily occurred in the shallower reservoirs located in warmer regions,whereas dinoflagellate blooms occurred where temperatures were *** most intense blooms occurred during the summer,and although cyanobacterial and chlorophyte blooms co-occurred,they never coexisted with dinoflagellate *** identified cyanotoxins in the reservoirs over the past three years,a phenomenon previously unreported in the *** that these reservoirs are drinking water sources for human populations,ongoing and systematic monitoring is needed to protect public *** the proliferation of algae and cyanobacteria in reservoirs requires resource management at the watershed level,and in the case of the Itiyuro and El Limon,requires binational management with Bolivia.

关键词： HABs Freshwater South America Toxins

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Analysis and Optimization of Operational and Pollutant Attributes of Diesel Engine with CNT-Infused Orange Peel Biodiesel-Diesel Blend Fuel

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Journal of Thermal Science 2024年第2期33卷 761-778页

作者： ranjeet rAI r.r.SAHOO Mechanical Engineering Department GLA UniversityMathura281406India Mechanical Engineering Department IIT(BHU)Varanasi221005India

The current study is performed to find sustainable solutions for the future of transportation and environmental *** conventional methods and experimental design table(L16 Orthogonal Array)techniques have been employed to examine and optimize a diesel-powered engine's operational and pollutant *** L16 Orthogonal Array is obtained through Taguchi's experimental design approach using Minitab 16 *** experimental design incorporated three control variables,namely engine speed,fuel type,and engine load,each with four *** operational parameters,namely brake thermal efficiency(BTE)and brake specific fuel consumption(BSFC),as well as the emission characteristics,including hydrocarbon(HC),carbon monoxide(CO),nitrogen oxide(NO),and smoke emissions,were acquired using the L16 orthogonal array(OA) and subsequently *** utilization of methodologies such as signal-to-noise(S/N) ratio and grey analysis was employed to determine the optimal operational state of the engine to achieve maximum performance while minimizing *** engine's ideal state of operation,in terms of BTE and BSFC,was determined to be at 75% engine load,1000 r/min engine speed,and using 10^(-4)(in vol) carbon nanotube incorporated 20% orange peel biodiesel(OPB20CNT100) blended fuel(A3-B1-C4).The study indicated that engine load significantly influenced BTE and BSFC,with 84.05% and 87.79% contribution factors,*** 25% engine load,1000 r/min,and OPB20CNT100 fuel(A1-B1-C4) CO,smoke,NO,and HC emissions were the *** load affects emissions the *** BSFC increased 3.10% and NO emissions 1.77%.BTE,CO,smoke,and HC emissions decreased by 1.9%,12.29%,47.05%,and 47.22%,respectively,at optimal operating conditions concerning diesel *** study shows that Taguchi-Grey's experimental design optimizes diesel engine operational and pollutant *** outcomes revealed that orange peel biodiesel infused with CNT can replace diesel fuel in a

关键词： Taguchi-Grey method OPB20CNT100 transesterification S/N ratio GrG HC CO and NO

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