20 results on '"Ks, Anderson"'
Search Results
2. The impact of dietary patterns on gut microbiota for the primary and secondary prevention of cardiovascular disease: a systematic review.
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Yu, Junwen, Wu, Yue, Zhu, Zheng, and Lu, Hongzhou
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DIETARY patterns ,PLANT-based diet ,PUBLIC health ,MEDICAL sciences ,HEART metabolism disorders ,GUT microbiome - Abstract
Background: Previous studies found that it is promising to achieve the protective effects of dietary patterns on cardiovascular health through the modulation of gut microbiota. However, conflicting findings have been reported on how dietary patterns impact gut microbiota in individuals either established or at risk of cardiovascular disease (CVD). Our systematic review aimed to explore the effect of dietary patterns on gut microbiota composition and on risk factors for CVD in these populations. Methods: We systematically searched seven databases, including PubMed/MEDLINE, MEDLINE (Ovid), Embase (Ovid), CINHAL (EBSCO), Web of Science, CNKI (Chinese), and Wanfang (Chinese), covering literature from inception to October 2024. Studies were included if they focused on adults aged 18 years and older with CVD or at least two CVD risk factors, implemented dietary pattern interventions, and incorporated outcomes related to microbiome analysis. The risk of bias for included studies was assessed using the revised Cochrane risk of bias tool (RoB2) for randomized trials and the Risk Of Bias In Non-randomised Studies of Interventions (ROBINS-I) for non-randomized studies. Changes in the relative abundance of the gut microbiome were summarized at various taxonomic levels, including phylum, class, order, family, genus, and species. Random-effects meta-analysis was conducted to analyze the mean difference in cardiometabolic parameters pre- and post-intervention. Results: Nineteen studies were identified, including 17 RCT and two self-controlled trails. Risk of bias across the studies was mixed but mainly identified as low and unclear. The most frequently reported increased taxa were Faecalibacterium (N = 8) with plant-rich diets, Bacteroides (N = 3) with restrictive diets, and Ruminococcaceae UCG 005 and Alistipes (N = 9) with the polyphenol-rich diets. The most frequently reported decreased taxa were Parabacteroides (N = 7) with plant-rich diets, Roseburia (N = 3) with restrictive diets, and Ruminococcus gauvreauii group (N = 6) with the polyphenol-rich diets. Plant-rich diets showed a significant decrease in total cholesterol (TC) with a mean difference of -6.77 (95% CI, -12.36 to -2.58; I
2 = 84.7%), while restrictive diets showed a significant decrease in triglycerides (TG) of -22.12 (95% CI, -36.05 to -8.19; I2 = 98.4%). Conclusions: Different dietary patterns showed distinct impacts on gut microbiota composition. Plant-rich diets promoted the proliferation of butyrate-producing bacteria, suggesting promising prospects for modulating gut microbiota and butyrate production through dietary interventions to enhance cardiovascular health. Further research is warranted to investigate the long-term effects of dietary patterns on clinical endpoints, such as CVD events or mortality. Review registration: Registration number: CRD42024507660 [ABSTRACT FROM AUTHOR]- Published
- 2025
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3. Commuting flow prediction using OpenStreetMap data.
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Atwal, Kuldip Singh, Anderson, Taylor, Pfoser, Dieter, and Züfle, Andreas
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FLOWGRAPHS ,URBAN planning ,PREDICTION models ,INFECTIOUS disease transmission ,EPIDEMIOLOGY - Abstract
Accurately predicting commuting flows is crucial for sustainable urban planning and preventing disease spread due to human mobility. While recent advancements have produced effective models for predicting these recurrent flows, the existing methods rely on datasets exclusive to a few study areas, limiting the transferability to other locations. This research broadens the utility of state-of-the-art commuting flow prediction models with globally available OpenStreetMap data while achieving prediction accuracy comparable to location-specific and proprietary data. We show that the types of buildings, residential and non-residential, are a strong indicator for predicting commuting flows. Consistent with theoretical and analytical models, our experiments indicate that building types, distance, and population are the determining characteristics for mobility related to commuting. Our experiments show that predicted flows closely match ground truth flows. Our work enables accurate flow prediction using building types to support applications such as urban planning and epidemiology. [ABSTRACT FROM AUTHOR]
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- 2025
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4. Time-Series Change Detection Using KOMPSAT-5 Data with Statistical Homogeneous Pixel Selection Algorithm.
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Waqar, Mirza Muhammad, Yang, Heein, Sukmawati, Rahmi, Chae, Sung-Ho, and Oh, Kwan-Young
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SYNTHETIC aperture radar ,ORBITS (Astronomy) ,ENVIRONMENTAL auditing ,SPECKLE interference ,STATISTICS - Abstract
For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed. However, time-series SAR data often contain noise and variability introduced by system and environmental factors, requiring mitigation. Additionally, the stability of SAR signals is preserved when calibration accounts for temporal and environmental variations. Although ACD and CCD techniques can detect changes, spatial variability outside the primary target area introduces complexity into the analysis. This study presents a robust change detection methodology designed to identify urban changes using KOMPSAT-5 time-series data. A comprehensive preprocessing framework—including coregistration, radiometric terrain correction, normalization, and speckle filtering—was implemented to ensure data consistency and accuracy. Statistical homogeneous pixels (SHPs) were extracted to identify stable targets, and coherence-based analysis was employed to quantify temporal decorrelation and detect changes. Adaptive thresholding and morphological operations refined the detected changes, while small-segment removal mitigated noise effects. Experimental results demonstrated high reliability, with an overall accuracy of 92%, validated using confusion matrix analysis. The methodology effectively identified urban changes, highlighting the potential of KOMPSAT-5 data for post-disaster monitoring and urban change detection. Future improvements are suggested, focusing on the stability of InSAR orbits to further enhance detection precision. The findings underscore the potential for broader applications of the developed SAR time-series change detection technology, promoting increased utilization of KOMPSAT SAR data for both domestic and international research and monitoring initiatives. [ABSTRACT FROM AUTHOR]
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- 2025
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5. Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes.
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Stojanović, Vladica S., Jovanović Spasojević, Tanja, Bojičić, Radica, Pažun, Brankica, and Langović, Zlatko
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MONTE Carlo method ,ASYMPTOTIC analysis ,RANDOM variables ,PARAMETER estimation ,STOCHASTIC models ,EXTREME value theory - Abstract
This manuscript deals with a novel two-parameter stochastic distribution, obtained by transforming the Cauchy distribution, using generalized logistic mapping, into a unit interval. In this way, according to the well-known properties of the Cauchy distribution, a unit random variable with significantly accentuated values at the ends of the unit interval is obtained. Therefore, the proposed stochastic distribution, named the Cauchy–logistic unit distribution, represents a stochastic model that may be suitable for modeling phenomena and processes with emphasized extreme values. Key stochastic properties of the CLU distribution are examined, such as moments, entropy, modality, and symmetry conditions. In addition, a quantile-based parameter estimation procedure, an asymptotic analysis of the thus obtained estimators, and their Monte Carlo simulation study are conducted. Finally, the application of the proposed distribution in stochastic modeling of some real-world data with emphasized extreme values is provided. [ABSTRACT FROM AUTHOR]
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- 2025
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6. Sociodemographic and behavioral factors associated with diet quality among low-income community health center patients with hypertension.
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Cheng, Jessica, Faulkner, Katherine C., Malone, Ashlie, Gu, Kristine D., and Thorndike, Anne N.
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POOR people ,COMMUNITY health workers ,FOOD habits ,POOR communities ,COMMUNITY centers - Abstract
Objective: Identify the most important sociodemographic and behavioral factors related to the diet of low-income adults with hypertension in order to guide the development of a community health worker (CHW) healthy eating intervention for low-income populations with hypertension. Design: In this cross-sectional analysis, dietary recalls were used to assess Healthy Eating Index-2020 (HEI-2020) total (range: 0 to 100 [best diet quality]) and component scores and sodium intake. Self-reported sociodemographic and behavioral data were entered into a Least Absolute Shrinkage and Selection Operator (LASSO) regression model to determine the relative importance of factors related to diet quality. Setting: Five community health centers in Boston, Massachusetts. Participants: Adults (>20 years old) with a hypertension diagnosis. Results: Participants (N = 291) were mostly female (65.0%), on Medicaid (82.8%), food insecure (59.5%), and Hispanic (52.2%). The mean (95% CI) HEI-2020 score was 63.0 (62.3, 65.7) Component scores were low for sodium and whole grains; mean (SE) sodium intake was 2676.9 (45.5) mg/day. The most important factors associated with lower HEI-2020 scores were: not having own housing, male gender, tobacco use, marijuana use, and skipping meals; the most important factors associated with higher HEI-2020 scores were Hispanic ethnicity and receipt of community food resources (5-fold cross-validated R
2 = 0.17). Conclusions: In this population of low-income adults with hypertension, diet quality would be improved by reducing sodium and increasing whole grain intake. Healthy eating interventions among low-income populations should consider providing dietary guidance in the context of behavioral factors (e.g., meal skipping) and substance use (e.g., marijuana) and should address barriers to health eating through referral to community food resources (e.g., food pantries). [ABSTRACT FROM AUTHOR]- Published
- 2025
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7. Inflammasome activation in melanoma progression: the latest update concerning pathological role and therapeutic value.
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Pluetrattanabha N, Direksunthorn T, Ahmad I, Jyothi SR, Shit D, Singh AK, and Chauhan AS
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- Humans, Skin Neoplasms immunology, Skin Neoplasms pathology, Skin Neoplasms therapy, Skin Neoplasms metabolism, Interleukin-1beta metabolism, Pyroptosis physiology, Pyroptosis immunology, Animals, Apoptosis immunology, Interleukin-18 metabolism, Interleukin-18 immunology, Melanoma immunology, Melanoma pathology, Melanoma metabolism, Melanoma therapy, Inflammasomes metabolism, Inflammasomes immunology, Disease Progression, Signal Transduction immunology
- Abstract
The progression of melanoma is a complex process influenced by both internal and external cues which encourage the transition of tumour cells, uncontrolled growth, migration, and metastasis. Additionally, inflammation allows tumours to evade the immune system, contributing to cancer development. The inflammasome, a complex of many proteins, is crucial in enhancing immune responses to external and internal triggers. As a critical inflammatory mechanism, it contributes to the development of melanoma. These mechanisms may be triggered via various internal and external stimuli, causing the induction of specific enzymes such as caspase-1, caspase-11, or caspase-8. This, in turn, leads to the release of interleukin (IL)-1β and IL-18 and cell death by apoptosis and pyroptosis. Proper inflammasome stimulation is crucial for the host to deal with invading pathogens or tissue injury. However, inappropriate inflammasome stimulation can result in unregulated tissue reactions, thus easing many diseases, including melanoma. Hence, keeping a delicate equilibrium between the stimulation and prohibition of inflammasomes is crucial, necessitating meticulous control of the assembly and functional aspects of inflammasomes. This review examines the latest advancements in inflammasome studies, specifically focusing on the molecular processes that control inflammasome formation, signalling, and modulation in melanoma., Competing Interests: Declarations. Conflict of interest: The authors declare no competing interests. The authors declare that they have no conflict of interest., (© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2025
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8. Unraveling the hormonal approaches for the treatment of rheumatoid arthritis and its complementary interventions.
- Author
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Waghmare PS, Kaushik D, Oz E, Proestos C, Oz F, and Kumar M
- Abstract
Rheumatoid Arthritis (RA) is an autoimmune, chronic, systemic inflammatory disease that causes redness, swelling, stiffness, and joint pain. It is a long-lasting disease that can have a widespread impact on the body, often affecting the hands, feet, and wrists. The immune cells, such as dendritic cells, T cells, B cells, macrophages, and neutrophils, play a significant role in bone degradation and inflammation. Several cytokines, including TNF-α and IL-17A, play a significant role in causing bone erosion, cartilage deterioration, and joint inflammation. Progesterone and estrogen have a crucial impact on the pathophysiology of RA, influencing the immune system. Research has demonstrated that hormone replacement therapy (HRT) can effectively reduce inflammation, improve disease activity, enhance joint health, alleviate pain, and promote bone strength. Treatments such as tamoxifen and raloxifene, known as selective estrogen receptor modulators (SERMs), are effective against chronic inflammatory illnesses like RA. The treatment with Gonadotropin-releasing hormone (GnRH) has an impact on the hypothalamic-pituitary-gonadal axis, which in turn affects the activity of RA illness. These alternative treatments hold promise in enhancing well-being and alleviating joint pain for individuals with RA., Competing Interests: Declarations. Conflict of interest: The authors have not disclosed any competing interests., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
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- 2025
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9. Sexual dysfunction in dichlorvos-exposed male Wistar rat is ameliorated by curcumin and associated with the upregulation of testosterone.
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Saka WA, Oladipo AA, Kolawole OR, Olayioye A, and Akhigbe RE
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- Animals, Male, Rats, Sexual Behavior, Animal drug effects, Luteinizing Hormone blood, Testis drug effects, Testis metabolism, Testis pathology, Dichlorvos toxicity, Rats, Wistar, Testosterone blood, Curcumin pharmacology, Up-Regulation drug effects, Insecticides toxicity, Sexual Dysfunction, Physiological chemically induced, Sexual Dysfunction, Physiological drug therapy
- Abstract
Dichlorvos is an organophosphate pesticide that is commonly used for agricultural and domestic control of pests and insects. Despite its usefulness, it exerts reproductive toxicity and induces male sexual dysfunction. On the other hand, curcumin has been reported to improve sexual dysfunction. However, till date, no study has reported the impact of curcumin on dichlorvos-induced sexual dysfunction. This study investigated the effect and associated mechanism of curcumin on dichlorvos-induced sexual dysfunction. Thirty-two male Wistar rats were randomized into four groups; the control (1 mL of olive oil), curcumin-treated (100 mg/kg), DDVP-treated (98.54 g/m
3 of dichlorvos by inhalation), and DDVP + Curcumin-treated. Dichlorvos induced sexual dysfunction as depicted by reduced motivation to mate (8.38 ± 0.18 vs. 4.00 ± 0.33, P < 0.0001), prolonged latencies (46.63 ± 1.30 vs. 98.75 ± 1.32, P < 0.0001) and reduced frequencies of mount (14.88 ± 0.52 vs. 8.63 ± 0.38), intromission (9.38 ± 0.50 vs. 3.75 ± 0.31, P < 0.0001), and ejaculation (7.63 ± 0.38 vs. 1.50 ± 0.19, P < 0.0001). These findings were accompanied by suppression of hypothalamic-pituitary-testicular axis, evidenced by marked reductions in circulating FSH (60.00 ± 1.04 vs. 21.13 ± 0.52, P < 0.0001), LH (46.38 ± 1.38 vs. 19.00 ± 0.46, P < 0.0001), and testosterone (6.01 ± 0.50 vs. 0.74 ± 0.05, P < 0.0001). Nonetheless, the administration of curcumin in dichlorvos-exposed rats significantly attenuated dichlorvos-induced sexual dysfunction by improving the assessed indices of male sexual act. Also, curcumin significantly increased serum levels of FSH (21.13 ± 0.52 vs. 47.25 ± 0.10, P < 0.0001), LH (19.00 ± 0.46 vs. 43.00 ± 1.49), and testosterone (0.74 ± 0.05 vs. 3.98 ± 0.08, P < 0.0001). This study revealed that curcumin attenuated dichlorvos-induced sexual dysfunction by activating the hypothalamic-pituitary-testicular axis and upregulating circulating testosterone., Competing Interests: Declarations. Ethical approval: The protocol for this investigation was approved by the Ethical Research Committee of the Faculty of Basic Medical Sciences, Ladoke Akintola University of Technology, Nigeria (ERC Approval Number: ERCFBMSLAUTECH: 036/05/2024). Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)- Published
- 2025
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10. Paediatric Renal Tumors: A State-of-the-Art Review
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Salzillo, Cecilia, Cazzato, Gerardo, Serio, Gabriella, and Marzullo, Andrea
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- 2025
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11. Gallbladder and biliary pathology: lessons learned from multidisciplinary conference
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Konstantinoff, Katerina S., Ludwig, Daniel R., Sharbidre, Kedar, Arif-Tiwari, Hina, and Itani, Malak
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- 2025
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12. Comparison of five estimation methods for the parameters of the Johnson unbounded distribution using simulated and real-data samples: Comparison of five estimation methods
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Muñoz, David F.
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- 2025
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13. 89Zr PET imaging guided validation of the medicinal potentiality of UiO-66 based nano drug delivery system
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Tan, Fuyuan, Li, Wenliang, Qiu, Long, Lyu, Jie, Peng, Haiyue, Ding, Wenbing, Liao, Jiali, Yang, Yuanyou, Liu, Ning, and Li, Feize
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- 2025
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14. Shrimp Culture Technology : Farming, Health Management and Quality Assurance
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Prabjeet Singh, Avtar Singh, Anuj Tyagi, Soottawat Benjakul, Prabjeet Singh, Avtar Singh, Anuj Tyagi, and Soottawat Benjakul
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- Freshwater ecology, Marine ecology, Animal culture, Animal biotechnology
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This book focuses on the global scenario of shrimp farming, shrimp culture practices, shrimp biology, taxonomy, and major disease challenges along with disease diagnostics in shrimp farming. It covers all the recent advancements in shrimp culture technology and serves as a comprehensive guide for all the stakeholders associated with the shrimp industry, including academicians, students, research laboratories, shrimp culturists, and institutional libraries. This book discusses major disease challenges, disease diagnostics, value addition, quality control, industry scenario, marketing, and processing. The book chapters are elucidated with pictorial representations and self-explanatory flow charts. Individual chapters devoted to shrimp pathology, major disease challenges, pathogen isolation techniques, and diagnostic methods are important parts of the book. This book is of interest to aquaculture practitioners, academicians, students, and researchers directly or indirectly involved in shrimp culture.
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- 2025
15. New Frontiers in Statistics and Data Science : SPE2023, Guimarães, Portugal, October 11-14
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Lígia Henriques-Rodrigues, Raquel Menezes, Luís Meira Machado, Susana Faria, Miguel de Carvalho, Lígia Henriques-Rodrigues, Raquel Menezes, Luís Meira Machado, Susana Faria, and Miguel de Carvalho
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- Statistics, Artificial intelligence—Data processing, Quantitative research, Biometry
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This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike. Readers with a background in mathematics and statistics will find it particularly beneficial, while researchers from various scientific disciplines can explore numerous robust applications.
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- 2025
16. Decision Sciences : Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part I
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Angel A. Juan, Javier Faulin, David Lopez-Lopez, Angel A. Juan, Javier Faulin, and David Lopez-Lopez
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- Machine learning
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This book constitutes the proceedings of the Second Decision Science Alliance International Summer Conference, DSA ISC 2024, held in Valencia, Spain, in June 2024. The 33 full papers and 38 short papers included in this book were carefully reviewed and selected from 101 submissions. At the core of DSA ISC'24 are in-depth discussions and analyses across a spectrum of technological domains. Notably, experts shared their knowledge on areas such as Artificial Intelligence & Machine Learning, Mathematical Optimization, Operational Research & Management Science, Statistics, Simulation, and Decision Processes Analysis. Each of these areas represents a key aspect of decision science, contributing to the interdisciplinary nature of the conference.
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- 2025
17. Applications of Biosensors in Healthcare : Volume 3
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Md Saquib Hasnain, Amit Kumar Nayak, Tejraj M. Aminabhavi, Md Saquib Hasnain, Amit Kumar Nayak, and Tejraj M. Aminabhavi
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Applications of Biosensors in Healthcare: Volume 3 details and explores the various ways biosensors are used in healthcare, disease management, and therapeutic delivery.This is the third volume out of three volumes covering biosensors in healthcare. The volume discusses various types of biosensors and their use in diagnostics, health monitoring, disease detection, and therapeutic delivery. Combined with the Volume 1, Fundamentals of Biosensors in Healthcare, and Volume 2, Applications of Biosensors in Healthcare, the volumes provide a holistic reference source suitable for researchers, graduate students, postgraduates, and industry professionals involved in biosensing, biosensors, and biomedical applications. - Explores the application of biosensors for an array of medical uses - Discusses current research, potential challenges, and future considerations for the biosensors in healthcare management - Contributed by global leaders and experts in the field from academia, research, and industry
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- 2025
18. Occupational Hearing Loss, Fourth Edition
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Robert Thayer Sataloff, Pamela C. Roehm, Robert Thayer Sataloff, and Pamela C. Roehm
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- Hearing disorders, Occupational diseases, Deafness, Noise induced
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Now in its fourth edition, Occupational Hearing Loss delivers a complete overview of the hazards of occupational noise exposure, causes of hearing loss, testing of hearing, criteria to distinguish occupational hearing loss, and more. The book emphasizes medical and societal factors in its coverage of topics such as audiometry and who should do it, evoked response testing, and conductive and sensorineural hearing loss, as well as mixed, central, and functional hearing loss.Brought together by experienced practitioners and written by experts with depth and experience in the field, this book is written clearly in language accessible to non-medical personnel. No other book available has the breadth, practical detail, or comprehensive scope. A unique compendium of information about specific problems of occupational hearing loss and hearing conservation, the book is both a balanced reference and an easy-to-use guide to protecting the hearing of industrial workers.This title is an ideal read for any student or professional occupational physician, audiologist, health and safety engineer, industrial hygienist, and otolaryngologist.
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- 2025
19. Theories of Borderline Personality Disorder : Concepts and Empirical Base
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Mojgan Salavati, Edward A. Selby, Mojgan Salavati, and Edward A. Selby
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- Psychology, Clinical psychology, Psychiatry
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This book provides a comprehensive review of the major theories underlying the diagnosis of borderline personality disorder. All theories discussed are supported by the latest empirical evidence, and provide the basis for clinicians to develop effective treatments. Acknowledged as a disorder that is particularly difficult to treat, this volume offers a breadth of background on borderline personality disorder that will be highly relevant to academics, researchers and clinicians alike.
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- 2025
20. Statistical Outliers and Related Topics
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Mir Masoom Ali, Rahmatullah Imon, Irfan Ali, Haitham M. Yousof, Mir Masoom Ali, Rahmatullah Imon, Irfan Ali, and Haitham M. Yousof
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- QA276
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The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational and robustness issues, handling of outliers in diversified areas of statistics such as univariate and multivariate data, linear and generalized linear models, time series, linear functional and structural models, circular data, spatial data, big data, high dimensional data, multi-view data. The book emphasizes the importance of outliers, and will appeal to workers in Data Mining; which is one of the fastest-growing business applications of statistics. The book makes outlier detection methods widely usable by practitioners. Examples are drawn from various fields.
- Published
- 2025
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