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Novel In Situ Synthesis Of Copper Oxide Nanoparticles In Epoxy Network: Kinetics, Composite Mechanical And Dielectric Properties, Elena Bobina, Maxim Danilaev, Safaa.M.R.H. Hussein, Sergey Karandashov, Vladimir Kuklin, Ivan Lounev, Konstantin Faizullin

Karbala International Journal of Modern Science

>Mechanical properties of polymer composites with dispersed nanoparticles (CDNP) depend on interaction between the nanoparticles and the polymer matrix. Strength of polymer composites significantly decreases when there is no interaction between dispersed nanoparticles and the polymer. This limits the application of functional polymer composites with dispersed nanoparticles. In this study, CDNP based on ED-20 epoxy resin with dispersed copper oxide nanoparticles was obtained.These nanoparticles were synthesized in epoxy resin before curing: the nanoparticles were obtained by decomposition of copper hydroxide by heating its solution in ED-20 resin.The kinetics of copper oxide nanoparticles formation in CDNP samples were studied using two …

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Journal of Mathematics and Science: Collaborative Explorations

No abstract provided.

Seven Properties Of Highly Effective Problems, Thomas Ales, Kevin Peterson, Constantine Roussos

Journal of Mathematics and Science: Collaborative Explorations

In an effort to provide more critical thinking opportunities in their courses, instructors are embracing the power of problem- and project-based learning (PBL). In this paper we address the importance of problem quality when utilizing PBL. We list seven important properties that a high-quality problem should have. We conclude with an example of a problem that possesses all seven properties.

Salt Sales Prediction Using The Moving Average Method (A Case Study Of Madura-Indonesia Salt), Muhammad Ali Syakur, Yudha Dwi Putra Negara, Aeri Rachmad, Eka Mala Sari Rochman

Elinvo (Electronics, Informatics, and Vocational Education)

Forecasting is a term used to forecast or predict the business that we run to see the direction in the future which uses historical data as the main reference. An appropriate strategy is needed to manage the production of salt raw materials properly, namely through sales forecasting. PT Budiono Madura Bangun Persada is a company engaged in salt processing with the brands "Anak pintar (AP)" and "Kapal Container (KC)" where the amount of production experiences uncertainty, namely an increase or decrease, this results in an uncertain amount of raw materials. This study aims to predict the exact amount of salt …

Classification Of Beef And Pork Images Based On Color Features And Pseudo Nearest Neighbor Rule, Ahmad Awaluddin Baiti, Muhammad Fachrie, Saucha Diwandari

Elinvo (Electronics, Informatics, and Vocational Education)

This research is motivated by the need for halal foods in Muslim society with the purpose of avoiding non-halal foods, such as pork, that are sold in the market. Although beef and pork basically have different characteristics, not all Muslims know the differences. Moreover, people nowadays sell beef mixed with pork to obtain more profits. Hence, this paper proposed the implementation of the Pseudo-Nearest Neighbor Rule (PNNR) in classifying images of beef and pork slices based on color features. Based on the image dataset that has been collected, the very significant difference that can be identified visually between beef and …

First Mammuthus (Elephantidae) Findings From Samsun District (Türkiye), Ebru Albayrak

Bulletin of the Mineral Research and Exploration

Located between Africa, Asia and Europe, Anatolia is a crossroads for the migration of many mammals such as elephantids. For this reason, important fossils belonging to different species of elephantids were found from various localities. In this study, mammoth molars found in Samsun- Ladik were examined. As a result of the examination, M. meridionalis and M. trogontherii were identified for the first time from this region. Although the number of fossils examined is very small, the results obtained are very important as Mammuthus was identified for the first time from Samsun. When considered together with the Mammuthus species identified from …

Machine Learning Based Bioinformatics Analysis Of Intron Usage Alterations And Metabolic Regulation In Adipose Browning, Hamza Umut Karakurt, Pinar Pi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

Adipose tissue is the major energy depot of the body and is considered an endocrine organ. Adipose tissue involves many different cell types, first and foremost, the adipocytes. White adipose cells that store fat and brown adipocytes that take part in lipid oxidation and heat generation are the most common cell types in adipose tissue. Even though brown adipocytes which have a high number of mitochondria and high fat-burning capacity are rare in adults, they are abundant in newborns and rodents. White adipocytes can gain a temporal brown-like character with a process called browning, which can be induced with cold …

Fluid-Based Wearable Sensors: A Turning Point In Personalized Healthcare, Berfi̇n Vural, İnci̇ Uludağ, Bahar İnce, Canan Özyurt, Funda Öztürk, Mustafa Kemal Sezgi̇ntürk

Turkish Journal of Chemistry

Nowadays, it has become very popular to develop wearable devices that can monitor biomarkers to analyze the health status of the human body more comprehensively and accurately. Wearable sensors, specially designed for home care services, show great promise with their ease of use, especially during pandemic periods. Scientists have conducted many innovative studies on new wearable sensors that can noninvasively and simultaneously monitor biochemical indicators in body fluids for disease prediction, diagnosis, and management. Using noninvasive electrochemical sensors, biomarkers can be detected in tears, saliva, perspiration, and skin interstitial fluid (ISF). In this review, biofluids used for noninvasive wearable sensor …

Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson

Turkish Journal of Electrical Engineering and Computer Sciences

Millions of people throughout the world suffer from the complicated and crippling condition of chronic pain. It can be brought on by several underlying disorders or injuries and is defined by chronic pain that lasts for a period exceeding three months. To better understand the brain processes behind pain and create prediction models for pain-related outcomes, machine learning is a potent technology that may be applied in Functional magnetic resonance imaging (fMRI) chronic pain research. Data (fMRI and T1-weighted images) from 76 participants has been included (30 chronic pain and 46 healthy controls). The raw data were preprocessed using fMRIprep …

Principles Of Chemistry Ii, Janet L. Shaw

KSU Distinguished Course Repository

Second course in a two-semester sequence covering the fundamental principles and applications of chemistry designed for science majors.

With a pre-requisite of CHEM 1211: Principles of Chemistry I, this course is part of a two-semester sequence covering principles and applications of chemistry. The course is designed to help students apply simplified models to complex systems to build critical thinking and problem-solving skills. A major goal of this course is to help students become self-directed learners thereby preparing them for whatever career path they choose. Although designed for science majors who typically complete the course during their freshman year, pre-health majors …

Prediction Of Factors For Patients With Hypertension And Dyslipidemia Using Multilayer Feedforward Neural Networks And Ordered Logistic Regression Analysis: A Robust Hybrid Methodology, Wan Muhamad Amir W Ahmad, Mohamad Nasarudin Bin Adnan, Norhayati Yusop, Hazik Bin Shahzad, Farah Muna Mohamad Ghazali, Nor Azlida Aleng, Nor Farid Mohd Noor

Makara Journal of Health Research

Background: Hypertension is characterized by abnormally high arterial blood pressure and is a public health problem with a high prevalence of 20%–30% worldwide. This research combined multiple logistic regression (MLR) and multilayer feedforward neural networks to construct and validate a model for evaluating the factors linked with hypertension in patients with dyslipidemia.

Methods: A total of 1000 data entries from Hospital Universiti Sains Malaysia and advanced computational statistical modeling methodologies were used to evaluate seven traits associated with hypertension. R-Studio software was utilized. Each sample's statistics were calculated using a hybrid model that included bootstrapping.

Results: Variable …

Healthy Lifestyle Behaviors And Sociodemographic Characteristics Among Medical Students In Indonesia During The New Normal Era: A Cross-Sectional Study, Sharren Shera Vionnetta, Tommy Nugroho Tanumihardja, Kevin Kristian

Kesmas

This study aimed to identify medical students’ healthy lifestyle behaviors during the new normal era and to determine its relationship with sociodemographic factors, bearing in mind that, as future physicians and health role models, medical students play an important role in adopting and promoting healthy lifestyle behaviors to reduce the risk of future health problems as well as optimize communities’ health status. This cross-sectional study was conducted at the School of Medicine and Health Sciences of Universitas Katolik Indonesia Atma Jaya, with 111 medical students selected through stratified random sampling. Data were collected using sociodemographic characteristics (sex, residence, year of …

Quercetin As An Anticancer Candidate For Glioblastoma Multiforme By Targeting Akt1, Mmp9, Abcb1, And Vegfa: An In Silico Study, Muhammad Hermawan Widyananda, Setyaki Kevin Pratama, Arif Nur Muhammad Ansori, Yulanda Antonius, Viol Dhea Kharisma, Ahmad Affan Ali Murtadlo, Vikash Jakhmola, Maksim Rebezov, Mars Khayrullin, Marina Derkho, Emdad Ullah, Raden Joko Kuncoroningrat Susilo, Suhailah Hayaza, Alexander Patera Nugraha, Annise Proboningrat, Amaq Fadholly, Mada Triandala Sibero, Rahadian Zainul

Karbala International Journal of Modern Science

Quercetin, a natural compound present in various fruits and vegetables, shows promise as a potential inhibitor for glioblastoma multiforme (GBM) development. This study aims to examine the anti-GBM potential of Quercetin. The protein target of Quercetin is identified and analyzed using databases such as NCBI, SEA, CTD, and STRING. Protein-protein interaction (PPI) and functional annotation are carried out based on the obtained target proteins. Molecular docking and dynamics simulations are employed using AutoDock Vina and WebGro tools to analyze the interaction between Quercetin and its target proteins. The prediction of protein targets reveals that Quercetin directly targets four proteins associated …

Editorial, Al Asyary

Kesmas

No abstract provided.

Application Of Photoacoustic Imaging For Pneumonia Detection, Caesarany Maqfiroh, Rini Widyaningrum, Ahmad Mujtahid Anas, Mitrayana Mitrayana

Makara Journal of Science

We used photoacoustic imaging (PAI) to visualize and compare acoustic intensity levels in pneumonia-affected and healthy chicken lungs. After histological confirmation of pneumonia, the samples were scanned and subjected to a 532-nm diode laser in a photoacoustic imaging system. The acoustic intensity level of pneumonia-affected tissue was examined and compared with that of healthy lung samples. The optimum laser frequency and duty cycle for imaging the samples were 17 kHz and 30%, respectively. The acoustic intensity levels of pneumonia-affected tissue and healthy lungs were −82.5 ± 1.8 dB and −79.9 ± 1.3 dB, respectively. We found that a simple PAI …

Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa

Journal of Dentistry Indonesia

Image representation via machine learning is an approach to quantitatively represent histopathological images of head and neck tumors for future applications of artificial intelligence-assisted pathological diagnosis systems. Objective: This study compares image representations produced by a pre-trained convolutional neural network (VGG16) to those produced by a vision transformer (ViT-L/14) in terms of the classification performance of head and neck tumors. Methods: W hole-slide images of five oral t umor categories (n = 319 cases) were analyzed. Image patches were created from manually annotated regions at 4096, 2048, and 1024 pixels and rescaled to 256 pixels. Image representations were …

Source And Release Law Of Fluorine In Water-Rock System Of Coal Mine Goaf In Contiguous Area Of Shaanxi And Inner Mongolia, Wang Tiantian, Jin Dewu, Xue Jiankun, Ji Hongying, Shang Hongbo, Zhou Zhenfang, Yang Jian, Cao Yu

Coal Geology & Exploration

The coal mine goaf is the key area for the formation of high-fluoride mine water, and the source and release of fluorine in goaf water-rock system determines the enrichment or depletion of fluorine in mine water. Aiming at the unclear source and release rule of fluorine in the mine water of 3-1 coal goaf in the contiguous area of Shaaxi and Inner Mongolia, hydrochemical test, mineral composition analysis, mineral scanning electron microscopy and energy spectrum detection, as well as laboratory water-rock simulation experiment, were conducted to determine the source and occurrence carrier of fluorine in coal mine water, and to …

Developing A New Tool For Early Detection Of The Nutritional And Health Risk Factors Of Urban Workers’ Productivity, Hildagardis Meliyani Erista Nai, Arimbi Karunia Estri, Christina Ririn Widianti

Kesmas

Nutrition and health play vital roles in work productivity. This study aimed to develop a risk self-assessment tool called Early Detection of the Nutritional and Health Risk Factors on the productivity of urban workers. This study was conducted in two stages: 1) the development of the tool to determine the nutritional and health risk factors that affect productivity based on literature reviews and scoring systems and 2) the testing of validity and reliability. Finally, the tool contained 63 items, including 28 items on nutritional risk factors and 35 on health risk factors. The validity of the tool was assessed using …

Mg Records Of Two Stalagmites From B7-Cave (Northwest Germany) Indicating Long-Term Precipitation Changes During Early To Mid-Holocene, Dana F. C. Riechelmann, Klaus Peter Jochum, Detlev K. Richter, Denis Scholz

International Journal of Speleology

Two stalagmites from B7-Cave in northwest Germany, which is part of the same cave system as the intensively studied Bunker Cave, were re-dated by multi collector inductively coupled plasma mass spectrometry (MC-ICPMS) ²³⁰Th/U-dating. Furthermore, the concentration of Mg, Sr, Ba, P, Y, Zn, and Al were determined at high-resolution by laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS). Stalagmite B7-1 grew from 10.8 to 5.8 ka BP. Stalagmite B7-7 grew during three growth phases from 11.0 to 6.2, 3.13 to 2.86 (late Bronze Age), and 1.27 to 1.15 ka BP (early Medieval Period). Aluminium is a proxy for detrital …

Paleoecological Investigation Of The Miocene (23.03-5.33 Mya) Rodents (Mammalia: Rodentia) In Anatolia, Hasan Vural, Şakir Önder Özkurt

Bulletin of the Mineral Research and Exploration

Anatolia’s geographical location as a land bridge between Europe, Asia, and Africa, makes it an important passage for mammal migrations, with a rich fossil potential. However, detailed scientific studies on the Neogene paleogeography of Anatolia are scarce. Rodentia is among the major mammal groups generally adapting to different habitat types and rapidly evolving with the changing geography. Investigating this group provides data to increase the accuracy of ecological analyses. We selected Rodentia fossils from the Miocene excavation sites with published papers, and examined specimens of 14 families from 106 localities. Cricetidae, Muridae, Gliridae, and Sciuridae were found to be most …

Research On Risk Assessment Of Container Operation Process In Ports Considering Functional Areas, Chen-Yu Lin, Ming-Jiu Hwang, Tzu-Heng Yen

Journal of Marine Science and Technology

The risk management of container ports has drawn significant attention recently in part because of recent high-profile accidents in global container ports and in part due to the increasing focus on port safety as a key element in sustainable maritime transportation. This research presented a novel, two-layer container port risk assessment model by partitioning the container port into four areas based on the process of container transportation: loading and unloading, in-port container transportation, storage, and gate areas. Failure mode and effects analysis (FMEA) and quantitative risk analysis modeling were combined for each part of the process to evaluate the risk …

Enhanced Adsorption Of Anionic Dyes Using Sr-Doped Zno Nanoparticles: Nonlinear Kinetics And Isotherm Studies, Mostafa H. Mohamed, Taha M. Elmorsi, H. M. Abdelbary

Al-Azhar Bulletin of Science

Using a co-precipitation process, sr-doped ZnO was prepared and demonstrated to be effective in the removal of anionic congo red dye, since its surface positive charge was increased to 17.3 mV. To investigate the surface morphology and physicochemical characteristics of Sr-doped ZnO, FTIR spectroscopy, scanning electron microscopy (SEM), elemental analysis, and point of zero charges (pHPZC) were employed. We conducted batch adsorption experiments to investigate the effects of contact time (180 minutes), pH (3.5–11), adsorbent dosage (0.5–3.0 g L−1), and temperature (288–328 K). The kinetic study was modeled using several equations, including pseudo-firstorder (PFO), pseudo-second-order (PSO), Elovich, and intra-particle diffusion …

Evaluation Of Photochemically Cross-Linked Collagen/Gold Nanoparticle Composites As Potential Skin Tissue Scaffolds, Evri̇m Meri̇ç Yelkuvan, Özge Erdemli̇, Bengi̇ Yilmaz, Ömer Aktürk

Turkish Journal of Chemistry

Collagen type I is the main structural unit in skin tissue and is therefore used preferentially in skin tissue scaffolds. However, collagen-based 3D scaffolds have weak aqueous stability and degradation profiles in their uncross-linked states and chemical cross-linking reagents arise toxicity concerns, which generally restrict the spectrum of their biomedical applicability. Here, the research goal is to photochemically cross-link collagen type I with rose bengal (RB) when subjected to green laser light and to investigate the effect of silk sericin-capped gold nanoparticles (S-AuNP) when incorporated into scaffolds on the cross-linking process and thus on the scaffold properties. All the collagen …

Ultrasound-Assisted Synthesis Of Rgo/Sio2-Based Nanosheets And Their Electrochemical Performances In Li-Ion Batteries, Ersu Lökçü, Süleyman Can, Mustafa Anik

Turkish Journal of Chemistry

In this study, a facile approach has been developed to fabricate GO/SiO2 nanosheets by the hydrolysis of tetraethyl orthosilicate (TEOS) in the graphene oxide (GO) solution with the assistance of the ultrasonication. The morphology and structure of the SiO2/GO nanosheets were characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared (FTIR) and Raman spectroscopy. The results showed that the covalently bonded SiO2 nanoparticles onto the GO sheets were dense and uniform. The agglomeration of the nanosheets was prevented by the ultrasonication and the layer sizes decreased throughout the synthesis process. The size and thickness of the SiO2 …

The Interaction Of Adipose Derived Stem Cells And Breast Cancer, Natasha Cunningham, Ava O'Meara, Cathy L. Brougham

SURE Journal: Science Undergraduate Research Experience Journal

Introduction: Mesenchymal stem cells are adult stem cells capable of self-renewal and multilineage differentiation (Schweizer et al., 2015). Adipose derived stem cells have been used in breast reconstruction following surgical intervention in breast cancer patients. MicroRNAs have been linked to gene regulation essential in oncogenic, and tumour suppression as well as cell signalling pathways in BC.

Aim: To research the hypothesis of ADSCs and their therapeutic properties in BC patients.

Methods: Proliferation assays were carried out to demonstrate how ADSC conditioned media influenced BC cell lines MDA-MB-231, SKBR3, and T47D. The expression of six miRNAs (miR-21, miR-133, miR-222, miR-146, miR-221, …

A Fused Data Based Real-Time Collision Warning System For Ferries In The Yangtze River, Xiaojia Liu, Ke Zhang, Han Xue, Yingtang Li

Journal of Marine Science and Technology

The risks for ferries in the Yangtze River are relatively high, as they frequently cross the main traffic flows, leading to more intersections with other upwards and downwards ships. Although some studies have developed many models to assess collision risks in the Yangtze River, collision warning studies on ferries are scant. Meanwhile, most of the current collision studies evaluate risk based on AIS data, which are incapable of providing real-time ship information as they are discrete-time series data. In this work, fused data combining radar and AIS data are applied in a real-time ship collision warning model to assess the …

Reviving Knowledges Through Play And Resistance: The Case Of Navajo Conceptions Of Space, Daniel Ness, Richard D. Sawyer

Northwest Journal of Teacher Education

The authors explore a possible cause of epistemicidal predispositions of the dominant Eurocentric curricula. They posit that one way to determine a plausible contributing factor of this increasing devastation is to consider epistemicide through the lens of intellectual development. To do this, the authors examine parallel patterns of behavior in the domains of developmental and cognitive psychology. The authors then discuss an alternative framework to the Western conception of space within formal K-12 education by presenting the Navajo conception of space and play. Throughout the paper, the authors argue that all students—and especially those living in poverty in commercially constructed, …

Monte-Carlo Method Based Simulations For Photothermal Mucosa Coagulation With Accurate Depth Limits, Merve Türker Burhan, Serhat Tozburun

Turkish Journal of Electrical Engineering and Computer Sciences

The mucosa layer, the innermost layer of the gastrointestinal (GI) system, is of great importance in carcinogenesis since most cancerous tissues occur as superficial lesions. Although various treatment strategies exist, the main difficulty in eradicating lesions is unintentional damage to healthy tissues with the uncontrolled depth of treatment. This study proposes a computer modeling approach for simulating depth-resolved photothermal (laser) mucosal coagulation therapy. Computer modeling mimics the thermal dynamics of mucosal tissue to characterize the total heat energy required for successful superficial coagulation, which can be controlled by the scan rate, scan time, output power, and beam diameter of the …

Studying The Physical And Biological Characteristics Of Denture Base Resin Pmma Reinforced With Zro2 And Tio2 Nanoparticles, Fatin A. Asim, Entessar H.A. Al-Mosaweb, Wafaa A. Hussain

Karbala International Journal of Modern Science

Polymethyl methacrylate (PMMA) suffers from poor mechanical properties that limit its application in the bio-medical field. In this study, PMMA was reinforced with zirconium dioxide (ZrO2) and titanium dioxide (TiO2) nanopar-ticles; subsequently, the hardness, porosity, biocompatibility, bacterial adhesion, and colonization of the reinforced PMMA with various oxide nanoparticles were characterized. The results of this study indicated that reinforced material inhibits bacterial growth and decreases bacterial adhesion by decreasing porosity and increasing PMMA hardness. Based on the findings, 3 wt% PMMA-ZrO2 and 3 wt% PMMA-ZrO2 -TiO2 composites significantly inhibited bacterial growth and adherence while maintaining hemolysis PT and INR and enhancing …

Synthesized Zinc Nanoparticles Via Pulsed Laser Ablation: Characterization And Antibacterial Activity, Sahar Naji Rashid, Kadhim A. Aadim, Awatif Sabir Jasim, Arshad Mahdi Hamad

Karbala International Journal of Modern Science

The pulsed laser ablation of a metallic target in the liquid (PLAL) is a modern and good method for creating a variety of nanomaterials that have piqued the interest of researchers in the last decade. It is used in this work to prepare zinc na-noparticles and zinc oxide nanoparticles (ZnPNs and ZnO NPs) using Nd: YAG laser with the two wavelengths (532 nm) and (355 nm) using the energies (600 mJ) and (500 mJ) respectively, and the number of the pulse (500, 600, 700, 800, and 900 Pulses); for each wavelength used in this work. The properties of the prepared …