REVISITING JUSTIFICATION OF TECHNO-ECONOMIC LEVEL OF AGRICULTURAL MACHINES AND EQUIPMENT by A. Yu. Izmailov, V. A. Makarov

“…When carrying out researches the program and target principle, and also Bayesian approach in the conditions of use of small samples were applied. Absent the parametrical characteristic for the developed machines and equipment, as an indicator of technical and economic level serves the coefficient of completeness of information. …”
Get full text

A lightweight framework to secure IoT devices with limited resources in cloud environments by Vivek Kumar Pandey, Dinesh Sahu, Shiv Prakash, Rajkumar Singh Rathore, Pratibha Dixit, Iryna Hunko

“…This paper proposes a lightweight decision tree-based intrusion detection framework suitable for real-time anomaly detection in a resource-constrained IoT environment. …”
Get full text

Staff Turnover and Organizational Performance: A Case of Kabale District Local Government by Pross, Tukamuhebwa

Get full text

Application of machine learning algorithms in predicting pyrolytic analysis result by Thi Nhut Suong Le, A. V. Bondarev, L. I. Bondareva, A. S. Monakova, A. V. Barshin

“…In this paper, machine learning regression algorithms are applied for predicting one of the pyrolysis parameters of extracted samples based on the pyrolytic analysis results of the extracted and non-extracted samples. …”
Get full text

The Effect of Okra Seed (Abelmoschus esculentus) Powder Supplementation on Nutritional, Textural, Microstructural, and Sensory Properties of Gluten-Free Muffins by Altan Sahan, Ezgi Ozgoren Capraz

“…All of the muffin samples received acceptable sensory scores (>4/7). …”
Get full text

Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
Get full text

503 A novel approach to developing and validating a predictive model of functional recovery for adults with stroke in post-acute rehabilitation by Alison Cogan, Dongze Ye, Dingyi Nie, Mary Lawlor, Nicolas Schweighofer

“…Results/Anticipated Results: Predictive models developed from the training sample will be applied to the validation sample to confirm their capacity to support new observations. …”
Get full text

The Relationship between Socioeconomic Status and Social Health of the Elderly in Tehran with a Focus on the Mediating Role of Family Social Support by Mina Inanloo, Khadijeh Safiri, Afsaneh Tavassoli

“…Finally, the questionnaires were completed through convenience sampling, targeting individuals aged 65 years and above. …”
Get full text

Prevalence of Escherichia Coli and Its Antimicrobial Susceptibility Profiles among Patients with UTI at Mulago Hospital, Kampala, Uganda by Isaac Odongo, Ronald Ssemambo, Joseph M. Kungu

“…These findings should form a basis for preliminary decision making on the appropriate line of treatment for UTIs.…”
Get full text

Public hesitancy for AI-based detection of neurodegenerative diseases in France by Ismaël Rafaï, Bérengère Davin-Casalena, Dimitri Dubois, Thierry Blayac, Bruno Ventelou

“…We conducted a discrete choice experiment with a representative sample of the French adult population (N = 1017). …”
Get full text

Effect of Simulation-Based Training on Maternity Nurses' Performance and Self-Efficacy Regarding Management of Preeclampsia by Eman M. Abd Elhakam, Nour Elhoda M. Elshabory, Nabaweya S. Shehata

“…New nurses must be competent to care for patients in a fast-paced setting where clinical competence and precise and timely decision-making are valued. Aim: The study aimed to evaluate the effect of simulation-based training on maternity nurses' performance and self-efficacy regarding the management of preeclampsia. …”
Get full text

Discovery of tumour indicating morphological changes in benign prostate biopsies through AI by Eduard Chelebian, Christophe Avenel, Helena Järemo, Pernilla Andersson, Anders Bergh, Carolina Wählby

“…Abstract Diagnostic needle biopsies that miss clinically significant prostate cancer (PCa) often sample benign tissue near hidden cancers. Such benign samples might still display subtle morphological signs of cancer elsewhere in the prostate. …”
Get full text

Access-based land value appreciation for assessing project benefits by Yadi Wang, David Levinson

“…Primal access measures covering the number of opportunities available at a destination and travel impedance are recommended. Last, over 86% of sampled empirical studies target the residential real estate market. …”
Get full text

Access-based land value appreciation for assessing project benefits by Yadi Wang, David Levinson

“…Primal access measures covering the number of opportunities available at a destination and travel impedance are recommended. Last, over 86% of sampled empirical studies target the residential real estate market. …”
Get full text

Concentration of fallout Cesium-137 in soils of the Rio de Janeiro State, Brazil by Fernando C. A. Ribeiro, Dejanira da Costa Lauria, José Ivan Rodrigues Silva, Erica Souto Abreu Lima, Nelson Moura Brasil do Amaral Sobrinho, Daniel Vidal Perez

“…The distribution of fallout 137Cs in soil samples of the Rio de Janeiro State was investigated. …”
Get full text

EVALUATION OF THE EXPERT PATIENT PANLAR SELF-MANAGEMENT PROGRAM IN RHEUMATOID ARTHRITIS. A PILOT STUDY IN ARGENTINA, COLOMBIA AND PANAMÁ by Emilia Arrighi, Ana Paula León, Carlo V caballero-Uribe

“…Means, standard deviations, percentages and Student's t-test for related samples were calculated. Results: Improvements were observed in eating habits, physical exercise, alcohol consumption and weight control. …”
Get full text

Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. by Apichat Suratanee, Panita Chutimanukul, Tanapon Saelao, Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas

“…The demonstrated effectiveness of this approach opens new possibilities for screening antioxidant properties in plants, facilitating efficient decision-making processes for researchers based on comprehensive spectral data.…”
Get full text

Sociodemographic characteristics, lifestyle habits, and criteria of the patient for the choice of the plastic surgeon by Sylverson Porto Rassi, Ruffo Freitas-Júnior, André de Mendonça Costa

“…Thus, is necessary a more detailed analysis of consumers' characteristics of health services related to plastic surgery and the factors that impact their decision-making, since patients and their families need to feel safe when seeking medical treatment, and professionals should be the facilitators of this process. …”
Get full text

Sensory Evaluation of Cultural Relics Imitations of Qing Dynasty Imperial Lacquered Wooden Furniture by Qirong Li, Fan Zhang, Wei Jia, Zhenghong Liu

“…At the same time, one-way analysis of variance (ANOVA) was conducted to examine the impact of evaluator group type and sample type on the assessment results. Additionally, the Decision-Making Trial and Evaluation Laboratory model (DEMATEL) was utilized to determine the weight distribution of the core evaluation factors. …”
Get full text

Selective imitation for efficient online reinforcement learning with pre-collected data by Chanin Eom, Dongsu Lee, Minhae Kwon

“…Deep reinforcement learning (RL) has emerged as a promising solution for autonomous devices requiring sequential decision-making. In the online RL framework, the agent must interact with the environment to collect data, making sample efficiency the most challenging aspect. …”
Get full text