jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Armin D. Berecki | V.B. Glavardanov | Sanja J. Mihok | Nenad Grahovac | Miodrag Žigić
Source: Nanomaterials (article, 2025-11-07)
Field: Materials Science — Materials Chemistry

Instability by Extension of an Elastic Nanorod The static stability of an elastic, incompressible nanorod subjected to an extensional force is analyzed. The force is applied to a rigid rod that is welded to the free end of the nanorod. The material behavior of the nanorod is described using a two-phase local/nonlocal stress-driven model. Mathematically, the problem is formulated as a system of nonlinear differential equations suitable for nonlinear analysis. For the analysis, the Liapunov-Schmidt method is employed. Depending on a geometric parameter (the length of the rigid rod) and nonlocal parameters (the small length-scale parameter and the phase parameter), the buckling load and post-buckling behavior of the nanorod are determined. The results show that the nonlocal effect increases the buckling load, indicating a stiffening effect. An increase in the length of the rigid rod decreases the buckling load. Regarding the post-buckling behavior, it is shown that both supercritical and subcritical bifurcations can occur, depending on the values of the geometric and nonlocal parameters. The occurrence of a subcritical bifurcation, which is highly undesirable in real-world constructions, is a novel effect not observed in the classical Bernoulli-Euler theory. Buckling ; Nanorod ; Stiffening ; Instability ; Nonlinear system ; Compressibility ; Bifurcation ; Hydrostatic equilibrium Nonlocal and gradient elasticity in micro/nano structures ; Microstructure and mechanical properties ; Force Microscopy Techniques and Applications
Authors: Sabrina Dias de Oliveira | Sueli Martins de Freitas Alves | Carlos Eduardo Bento Barbosa | Ivandro José de Freitas Rocha | Diogo Santos Sousa
Source: DELOS Desarrollo Local Sostenible (article, 2025-04-28)
Field: Chemistry — Analytical Chemistry

Artificial neural networks and neighborhood techniques for predicting phosphorus and potassium requirements for industrial tomato crops The adoption of innovative technologies, such as artificial neural networks (ANNs), has emerged as an economical and viable approach to solving agricultural problems. The aim was to adapt the neighborhood technique to reduce the data collected for possible phosphorus (P) and potassium (K) mapping. The neighborhood technique was adapted to define the points that would provide the input and output data for the ANN. The training was conducted using the backpropagation algorithm. Geostatistical analysis was then conducted, and the semivariogram model was adjusted, isoline maps were drawn up, and accuracy was assessed using the Kappa and Global Accuracy indexes. The trained model showed a good fit in the external validation phase (R² &gt; 0,90), a correlation of over 91%, and excellent performance from the ANN, where the t-test confirmed accuracy. It was possible to estimate P and K requirements, and the adaptation of the neighborhood technique enabled a 40% reduction in the number of samples needed for field data collection. By reducing the number of samples, the network can obtain valid estimates of P and K. Potassium ; Phosphorus ; Artificial neural network ; Environmental science ; Agricultural engineering ; Computer science ; Engineering ; Artificial intelligence ; Chemistry ; Organic chemistry Spectroscopy and Chemometric Analyses ; Water Quality Monitoring and Analysis
Authors: Wei‐Chuan Chen | Jiun‐Ling Wang | Chi-Chuan Chang | Yusen Eason Lin
Source: Microorganisms (article, 2025-01-07)
Field: Chemistry — Analytical Chemistry

Data Mining Models in Prediction of Vancomycin-Intermediate Staphylococcus aureus in Methicillin-Resistant S. aureus (MRSA) Bacteremia Patients in a Clinical Care Setting Vancomycin-intermediate <i>Staphylococcus aureus</i> (VISA) is a multi-drug-resistant pathogen of significant clinical concern. Various <i>S. aureus</i> strains can cause infections, from skin and soft tissue infections to life-threatening conditions such as bacteremia and pneumonia. VISA infections, particularly bacteremia, are associated with high mortality rates, with 34% of patients succumbing within 30 days. This study aimed to develop predictive models for VISA (including <i>h</i>VISA) bacteremia outcomes using data mining techniques, potentially improving patient management and therapy selection. We focused on three endpoints in patients receiving traditional vancomycin therapy: VISA persistence in bacteremia after 7 days, after 30 days, and patient mortality. Our analysis incorporated 29 risk factors associated with VISA bacteremia. The resulting models demonstrated high predictive accuracy, with 82.0-86.6% accuracy for 7-day VISA persistence in blood cultures and 53.4-69.2% accuracy for 30-day mortality. These findings suggest that data mining techniques can effectively predict VISA bacteremia outcomes in clinical settings. The predictive models developed have the potential to be applied prospectively in hospital settings, aiding in risk stratification and informing treatment decisions. Further validation through prospective studies is warranted to confirm the clinical utility of these predictive tools in managing VISA infections. Staphylococcus aureus ; Methicillin-resistant Staphylococcus aureus ; Bacteremia ; Vancomycin ; Microbiology ; Medicine ; Antibiotics ; Bacteria ; Biology Spectroscopy and Chemometric Analyses ; Antimicrobial Resistance in Staphylococcus ; Traditional Chinese Medicine Studies
Authors: N. M. K. Ramalingam Sakthivelan | Sriram R | Sanjay G
Source: Iconic Research and Engineering Journals (article, 2025-11-21)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Online Adulteration Analysis of Oil, Milk, and Water using Surface-Enhanced Raman Spectroscopy (SERS) This paper presents an online sensing framework for detection and quantification of adulterants in oil, milk, and water using Surface-Enhanced Raman Spectroscopy (SERS). We describe a microfluidic sampling interface for continuous monitoring, detail the design and fabrication of plasmonic substrates, and present a data-processing pipeline that combines baseline correction, denoising, feature extraction, and machine learning to provide automated classification and concentration estimation under flow. Experiments demonstrate detection limits for common adulterants (e.g., vegetable oils in engine oil, melamine in milk, and trace organics in water) at parts-per-million to parts- per-billion levels under flow conditions. We discuss substrate lifetime, fouling mitigation, and steps toward field deployment. Melamine ; Raman spectroscopy ; Surface-enhanced Raman spectroscopy ; Pipeline (software) ; Substrate (aquarium) ; Microfluidics ; Sampling (signal processing) ; Analytical Chemistry (journal) Gold and Silver Nanoparticles Synthesis and Applications ; Spectroscopy Techniques in Biomedical and Chemical Research ; Innovative Microfluidic and Catalytic Techniques Innovation
Authors: Muhammad Erwin Cahyo Nugroho | Rachmadi Tutuka
Source: Jurnal Penelitian Inovatif (article, 2025-06-01)
Field: Materials Science — Polymers and Plastics

Pengaruh Kecepatan Screw, Feeder, dan Temperatur Pemanas terhadap Proses Ekstrusi Bijih Plastik Daur Ulang Menggunakan Mesin Extruder Limbah plastik berbasis polyethylene terephthalate (PET) dari botol bekas merupakan salah satu penyumbang utama pencemaran lingkungan akibat volumenya yang tinggi dan proses dekomposisi yang lambat. Pencemaran dari limbah ini memerlukan penanganan berbasis teknologi daur ulang. Salah satu metode pengolahannya adalah proses ekstrusi yang mengubah limbah menjadi bijih plastik yang dapat digunakan kembali. Penelitian ini bertujuan untuk mengevaluasi pengaruh variasi kecepatan screw, kecepatan feeder, dan temperatur pemanas pada proses ekstrusi terhadap kualitas bijih plastik hasil daur ulang. Metode eksperimen dilakukan dengan menggunakan mesin extruder, memvariasikan kecepatan screw, kecepatan feeder, dan temperatur pemanas, serta menjaga kecepatan pemotongan tetap. Evaluasi dilakukan terhadap rasio screw/feeder dan efisiensi pemotongan yang dihitung dari rasio kecepatan pemotong terhadap kecepatan feeder. Penilaian kualitas bijih dilakukan melalui pengamatan visual homogenitas dan stabilitas bentuk produk. Hasil menunjukkan bahwa rasio screw/feeder antara 2,0–2,5 menghasilkan bijih dengan bentuk paling seragam dan stabil. Efisiensi pemotongan paling tinggi didapat hanya 15% memengaruhi kualitas bijih plastik yang menunjukkan kesesuaian laju aliran material antara kecepatan feeder dan kecepatan pemotong. Perhitungan kecepatan pemotong ideal diperoleh sebesar 128 rpm, sedangkan kecepatan konstan extruder ini adalah 140 rpm dinilai terlalu tinggi sehingga berpotensi menimbulkan cacat produk dan ukuran yang bervariasi. Kombinasi parameter optimal diperoleh pada kecepatan screw 25 rpm, feeder 10 rpm, dan temperatur 220°C. Pengaturan parameter proses yang seimbang diperlukan dalam menghasilkan bijih plastik berkualitas tinggi dari limbah PET daur ulang. Temuan ini berkontribusi dalam pengembangan teknologi ekstrusi plastik daur ulang yang efisien dan ramah lingkungan. Plastics extrusion ; Materials science ; Composite material Natural Fiber Reinforced Composites
Authors: Nicole Emmons | Zeki Duman | Murat Kaan Erdal | Tod E. Kippin | João P. Hespanha | Kevin W. Plaxco
Source: Research Square (preprint, 2025-01-28)
Field: Chemistry — Electrochemistry

Feedback control over plasma drug concentrations achieves rapid and accurate control over solid-tissue drug concentrations Drug ; In vivo ; Pharmacokinetics ; Drug control ; Plasma ; Biomedical engineering ; Chemistry ; Feedback control ; Plasma concentration ; Drug action ; Anthracycline ; Pharmacology ; Computer science ; Materials science ; Medicine ; Internal medicine ; Physics ; Biology ; Engineering Electrochemical Analysis and Applications ; Advanced biosensing and bioanalysis techniques ; Microfluidic and Capillary Electrophoresis Applications
Authors: Sajiyo Sajiyo | Siti Mundari | Afrigh Fajar Rosyidiin | Sugiono Sugiono | Moch. Isabil Liwaq | Davin Danny Ivander | Nur Adila Ab Aziz
Source: Jurnal Kejuruteraan (article, 2025-03-28)
Field: Materials Science — Polymers and Plastics

Fatigue Monitoring with IoT-based Ergonomic Approach: Case Study in the Wood Processing Industry Work fatigue in heavy equipment operators can reduce productivity and increase the risk of work accidents. This study aims to design an Internet of Things (IoT)-based work fatigue monitoring system with an ergonomic approach to monitor the physical condition of operators in real-time in CV. Wana Indoraya Lumajang. This system measures working pulse, oxygen saturation, temperature, humidity, and calorie expenditure using a smartwatch whose data is processed through a cloud server. The research method involved the physiological measurement of the operator over six working days, with two daily measurement sessions. The results showed that the average operator’s pulse rate was 149.5 pulses/minute and calorie expenditure reached 598 kcal/min, indicating a heavy workload. In addition, a decrease in oxygen saturation as well as a rise in temperature and a decrease in air humidity in the workspace worsen fatigue conditions. 149IoT monitoring systems are effective in monitoring operator fatigue conditions in real-time, and can help supervisors in taking preventive measures to reduce the risk of accidents due to work fatigue. Internet of Things ; Computer science ; Construction engineering ; Engineering ; Embedded system Textile materials and evaluations
Authors: Sri Lestari | Nida Apipah
Source: International Journal Software Engineering and Computer Science (IJSECS) (article, 2025-04-01)
Field: Materials Science — Polymers and Plastics

Comparison of Classification of Songket Fabric Types Using AlexNet and VGG19 (Visual Geometry Group) Method This study aims to evaluate and compare the performance between deep learning models AlexNet and VGG19 in Songket fabric classification. Due to its complex patterns and subtle differences, Songket classification must be accurate. The datasets in this study are various types of Songket images and all datasets are classified by type for easy analysis. After intensive learning and evaluation, VGG19 is a superior classifier than AlexNet. The highest performance is achieved by the VGG19 method in terms of performance measure accuracy, precision, recall, and F1 score, which may be due to the increase in depth and better extraction of some detailed visual features from complex images. Although these results have substantial practical implications, some issues need to be further discussed before optimizing the results. Hyperparameters, such as learning rate or batch size, can be changed to optimize the speed and accuracy of the model. In addition, the diversity of the data should be increased by using data augmentation techniques to ensure that the model generalization to market conditions is possible. More complex additions (lighting changes, texture distortion simulation, or others) can also contribute to improving the robustness of the trained model to these disturbances. The conclusion of the research is the importance of improving the accuracy and usefulness of single fabric classification. This will result in its application in heritage preservation and textile development. Group (periodic table) ; Artificial intelligence ; Geometry ; Computer science ; Pattern recognition (psychology) ; Computer vision ; Mathematics ; Physics Textile materials and evaluations ; Consumer Perception and Purchasing Behavior ; Industrial Vision Systems and Defect Detection
Authors: Eleftherios Profitis | Elias Chatzitheodoridis
Source: Mineralogy and Petrology (article, 2025-07-24)
Field: Chemistry — Spectroscopy

Characterization of a petrographic microscope for potential use with image processing techniques Abstract Petrographic and other microscopy analyses which require the use of polarised microscope, is an essential tool for the geologist and materials scientists, and thus, there is an effort to advance it technologically by introducing digital automation and digital image acquisition and processing. Studies with the polarising microscope now become faster, easier and quantitative. However, still the combination of the microscope’s optical components, such as lenses, filters, polarisers, mirrors, and often light sources, can introduce chromatic aberrations, light intensity variations, different degrees of polarisation, which can significantly affect digital image acquisition and processing, especially when sensitive birefringence colours are acquired. In this paper, we describe a method to characterise the full polarising microscope setup, by registering the parameters that affect image acquisition. Image corrections can then be dynamically applied during the operation of the microscope, increasing the precision of digital image processing techniques. The suggested procedure involves the use of a spectrometer to quantify the applied corrections. Different modes in transmitted light conditions, such as under plane polarised, crossed polarised, and circularly polarised light conditions are studied and the Correlated Colour Temperatures (CCT) are computed, also during rotation of the specimen under the polarising light. We demonstrate this on petrographic thin rocks sections, however, the same method can also be used when inspecting technological materials that inhibit birefringence, such as liquid crystals, polymeric fluids, thin films, plastics, optical fibres, and biological samples such as collagen and proteins. Petrography ; Characterization (materials science) ; Microscope ; Mineralogy ; Geology ; Materials science ; Nanotechnology ; Optics ; Physics Spectroscopy and Laser Applications ; Thermography and Photoacoustic Techniques ; Spectroscopy and Chemometric Analyses
Authors: О. І. Курандо | О. Ю. Сєвєврін | С. Ю. Плєснецов | Ю. О. Плєснецов | А. В. Комар
Source: METHODS AND DEVICES OF QUALITY CONTROL (article, 2025-06-27)
Field: Materials Science — Materials Chemistry

АНАЛІЗ ПРИЧИН ВИНИКНЕННЯ ДЕФЕКТІВ ГНУТИХ ПРОФІЛІВ У статті розглянуто актуальну проблему забезпечення якості гнутих профілів, які широко використовуються у різних галузях промисловості. Проаналізовано основні типи дефектів, що виникають у процесі профілювання, такі як геометричні відхилення, втрата стійкості, пошкодження поверхні, зміни механічних властивостей тощо. Визначено ключові фактори, що спричиняють появу цих дефектів,включаючи неоптимальні режими та схеми формоутворення, нестабільність властивостей матеріалу та неточності налаштування обладнання. Особливу увагу приділено огляду сучасних наукових досліджень та розробок, спрямованих на вирішення проблем дефектоутворення та підвищення точності процесу профілювання. Розглянуто підходи, що базуються на впровадженні систем моніторингу параметрів процесу та якості готової продукції, оптимізації технологічних режимів, а також застосуванні інтелектуальних систем управління на основі машинного навчання та цифрових двійників. Особливий акцент зроблено на застосуванні методів штучного інтелекту та машинного навчання для прогнозування поведінки матеріалу в процесі прокатки, оптимізації технологічних параметрів та мінімізації дефектів. Детально розглянуто приклади використання нейронних мереж різних архітектур (зокрема згорткових та рекурентних) для точного передбачення кінцевої геометрії профілю та величини пружного повернення. Проаналізовано можливості застосування еволюційних алгоритмів (таких як Bat Algorithm) у поєднанні з регресійним аналізом (наприклад, Support Vector Regression) для оптимізації режимів прокатки з метою досягнення мінімального пружного повернення та максимальної відповідності заданим розмірам. Результати проведеного аналізу підкреслюють значний потенціал використання сучасних інформаційних технологій для покращення якості гнутих профілів, підвищення ефективності виробництва та зменшення відсотка браку. Identification (biology) ; Vector (molecular biology) ; Product (mathematics) Material Properties and Failure Mechanisms ; Advanced machining processes and optimization ; Advanced Scientific Research Methods
Authors: Chengyu Sun | Wei Zhang | Liqiang Liu | Chao Wang
Source: Journal of Physics Conference Series (article, 2025-09-01)
Field: Materials Science — General Materials Science

Development of a fatigue performance test device for materials in high-temperature oxygen-containing environments Abstract A modular high-temperature fatigue test equipment was developed based on electromagnetic induction heating technology. The equipment was used to conduct low-cycle fatigue tests on Inconel 718 alloy, a typical material for aircraft engine turbine blades, at room temperature and 700 °C high-temperature oxygen-containing environments, and the low-cycle fatigue data and cyclic stress response curves of Inconel 718 alloy in these two environments were obtained. The results show that under the same temperature conditions, the fatigue life of the alloy increases with the decrease in strain amplitude, and the fatigue life of the alloy gradually decreases with the increase in temperature. This is in line with the law of metal fatigue life, thus verifying the effectiveness of the test equipment in fatigue performance testing in a high-temperature oxygen-containing environment. Inconel ; Fatigue limit ; Fatigue testing ; Alloy ; Turbine ; Stress (linguistics) ; Modular design ; Test data Material Properties and Applications ; Mechanical and Thermal Properties Analysis ; Fire effects on concrete materials
Source: Journal of Clinical Oncology and Therapeutics (article, 2025-06-18)
Field: Materials Science — Biomaterials

Nanomedicine and Nanotherapy: A New Frontier in Breast Cancer Bone Metastasis Diagnosis, Treatment, and Management Breast cancer bone metastases represent a significant clinical challenge due to their complex pathophysiology, resistance to conventional therapies, and the unique tumor microenvironment within the bone. Nanomedicine ; Medicine ; Bone metastasis ; Breast cancer ; Cancer ; Frontier ; Metastasis ; Oncology ; Internal medicine ; Nanotechnology ; Political science ; Materials science ; Nanoparticle Nanoparticle-Based Drug Delivery ; Boron Compounds in Chemistry ; Nanoplatforms for cancer theranostics
Authors: Manish Bhise | Ashish Gawai | Shailesh Bharad | Shivanand Wagh | Amol Rakte | Mohd Hasib Ahmed | Nitin Gawai* | Taufik Mulla
Source: Journal of Carcinogenesis (review, 2025-10-15)
Field: Chemistry — Analytical Chemistry

A Review On: Force Degradation Studies &amp; Stability Indicating RP-HPLC Methods for Selected Antiemetic Drug The development of analytical procedures that indicate stability is crucial for pharmaceutical goods because it ensures their quality, safety, and effectiveness throughout their shelf life. Because of its great sensitivity, repeatability, and capacity to resolve complicated mixtures, reverse-phase high-performance liquid chromatography (RP-HPLC) has become the most used analytical technique.Antiemetic drugs such as hyoscine N-butyl bromide (HBB), promethazine hydrochloride, and paracetamol—often used in combination with antiemetics—require robust analytical procedures to monitor degradation pathways and assess stability under stress conditions. Force degradation studies, including hydrolytic, oxidative, photolytic, and thermal stress testing, are essential in evaluating the stability profile of these drugs and in establishing reliable stability-indicating methods in accordance with ICH guidelines.Development and validation of RP-HPLC techniques for specific antiemetic medicines are now subject to regulatory restrictions and recommendations, which this paper comprehensively summarizes. The significance of forced degradation research in specificity testing, product identification, and degradation mechanism elucidation is highlighted. In addition, the study emphasizes the use of RP-HPLC technologies for regular analysis of pharmaceutical formulations and bulk medicines, quality control, and pharmacokinetic estimates. This review seeks to optimize stability-indicating RP-HPLC methods for antiemetic agents by combining recent advances and regulatory perspectives. The ultimate goal is to improve therapeutic reliability and comply with global regulatory standards. Forced degradation ; Antiemetic ; Degradation (telecommunications) ; Reliability (semiconductor) ; Drug ; Quality by Design Analytical Methods in Pharmaceuticals ; Nonlinear Optical Materials Research ; Drug Solubulity and Delivery Systems