bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Research on the Use of a Selected Multi-Criteria Method for the Cutting of Titanium Alloy with an Abrasive Water Jet
Authors: Radomska-Zalas Aleksandra
Published: August 2023

The use of selected multi-criteria decision methods for the optimization of cutting processes by abrasive water jet methods is increasingly being used in industrial processes. This is due to the complexity of the processes and the need to reduce operating costs. Process optimization methods are available to support organizational processes including the design phase, quality assurance, production automation, and many more. This article presents the current state of research on the water-abrasive cutting process and the use of multi-criteria methods in optimizing this process. This article presents a detailed methodological study of the VIKOR approach to optimization, indicating the applicability conditions, assumptions, and limitations on the example of high-pressure abrasive water jet cutting of elements made of titanium alloy utilizing HPX garnet abrasive. As a result of the research conducted, the best input parameters of the cutting process for abrasive flow rate, pressure, and the traverse speed of the cutting process were determined. The achieved result is consistent with the assumption that the most favorable output parameters are the highest cutting depth and the lowest level of roughness.
Experimental Investigation of Phase Equilibria of the Ho-Ir-O Ternary System at 1073 K
Authors: Homolová Viera , Čiripová Lucia , Zobač Ondřej , Zemanová Adéla , Falat Ladislav
Published: August 2023

An experimental study of the phase equilibria of the Ho-rich part of the Ho-Ir-O ternary system at 1073 K by means of x-ray diffraction, differential scanning calorimetry, and scanning electron microscopy has been carried out. Ho-hcp and four binary compounds, namely Ho3Ir, Ho5Ir2, Ho5Ir3, and Ho2O3, were identified in the Ho-Ir-O model alloys after long-term annealing (350–1220 h). No solubility of iridium in Ho2O3 oxide and Ho-hcp was observed. No ternary phase was found. Based on the experimental results, an isothermal section of the Ho-rich part of the Ho-Ir-O system at 1073 K was constructed. In addition, the microstructure of as-cast alloys was studied. An irregular eutectic consisting of faceted Ho-phase in Ho3Ir phase was observed in the alloys with Ho-hcp + Ho3Ir + Ho2O3 phase composition, and the temperature of the eutectic reaction Ho-hcp + Ho3Ir ↔ liquid was determined.
Wild Asparagus Shoots Constitute a Healthy Source of Bioactive Compounds
Authors: Chileh Chelh Tarik , Rincon-Cervera Miguel A. , Gomez-Mercado Francisco , Lopez-Ruiz Rosalia , Gallon-Bedoya Manuela , Ezzaitouni Mohamed , Guil-Guerrero Jose L.
Published: August 2023

Wild Asparagus shoots are consumed worldwide, although most species remain understudied. In this work, a total of four wild Asparagus species were collected from different locations and analyzed compared with farmed A. officinalis. Shoots were screened for (i) phenolic compounds by HPLC-DAD and LC-MS; (ii) total phenolic acids and total flavonoid content by the Folin–Ciocalteu and aluminum chloride methods; (iii) vitamin C by HPLC-DAD; (iv) antioxidant activity by the DPPH and ABTS•+ methods; and (v) the in vitro antiproliferative activities against HT-29 colorectal cancer cells by the MTT assay. Phenolics ranged from 107.5 (A. aphyllus) to 605.4 mg/100 g dry weight (dw) (A. horridus). Vitamin C ranged from 15.8 (A. acutifolius) to 22.7 mg/100 g fresh weight (fw) (A. officinalis). The antioxidant activity was similar in all species, standing out in A. officinalis with 5.94 (DPPH) and 4.64 (ABTS) mmol TE/100 g dw. Among phenolics, rutin reached the highest values (574 mg/100 g dw in A. officinalis), followed by quercetin, nicotiflorin, asterin, and narcissin. The MTT assay revealed the inhibitory effects of ethanol extracts against HT-29 cancer cells, highlighting the cell growth inhibition exercised by A. albus (300 µg/mL after 72 h exposure to cells). This work improves knowledge on the phytochemicals and bioactivities of the shoots of wild Asparagus species and confirms their suitability for use as functional foods.
Systematic Analysis of Covalent and Allosteric Protein Kinase Inhibitors
Authors: Xerxa Elena , Laufkötter Oliver , Bajorath Jürgen
Published: August 2023

In drug discovery, protein kinase inhibitors (PKIs) are intensely investigated as drug candidates in different therapeutic areas. While ATP site-directed, non-covalent PKIs have long been a focal point in protein kinase (PK) drug discovery, in recent years, there has been increasing interest in allosteric PKIs (APKIs), which are expected to have high kinase selectivity. In addition, as compounds acting by covalent mechanisms experience a renaissance in drug discovery, there is also increasing interest in covalent PKIs (CPKIs). There are various reasons for this increasing interest such as the anticipated high potency, prolonged residence times compared to non-competitive PKIs, and other favorable pharmacokinetic properties. Due to the popularity of PKIs for therapeutic intervention, large numbers of PKIs and large volumes of activity data have accumulated in the public domain, providing a basis for large-scale computational analysis. We have systematically searched for CPKIs containing different reactive groups (warheads) and investigated their potency and promiscuity (multi-PK activity) on the basis of carefully curated activity data. For seven different warheads, sufficiently large numbers of CPKIs were available for detailed follow-up analysis. For only three warheads, the median potency of corresponding CPKIs was significantly higher than of non-covalent PKIs. However, for CKPIs with five of seven warheads, there was a significant increase in the median potency of at least 100-fold compared to PKI analogues without warheads. However, in the analysis of multi-PK activity, there was no general increase in the promiscuity of CPKIs compared to non-covalent PKIs. In addition, we have identified 29 new APKIs in X-ray structures of PK-PKI complexes. Among structurally characterized APKIs, 13 covalent APKIs in complexes with five PKs are currently available, enabling structure-based investigation of PK inhibition by covalent-allosteric mechanisms.
Galileo-Based Doppler Shifts and Time Difference Carrier Phase: A Static Case Demonstration
Authors: Gioia Ciro , Angrisano Antonio , Gaglione Salvatore
Published: August 2023

The European Commission is designing and implementing new regulations for vehicle navigation in different sectors. Commission Delegated Regulation 2017/79 defines the compatibility and performance of the 112-based eCall in-vehicle systems. The regulation has a large impact on road transportation because it requires that all cars and light duty vehicles must be equipped with eCall devices. For heavy duty vehicles, a set of new regulations has been developed, starting from EU Regulation No 165/2014, in which the concept of smart tachographs was introduced to enforce the EU legislation on professional drivers’ driving and resting times. In addition, intelligent speed assistance (ISA) devices increase the safety of road users. These new devices fully exploit the Global Navigation Satellite System (GNSS) to compute position velocity and time (PVT) information. In all these systems, the velocity of the vehicle plays a fundamental role; hence, a reliable and accurate velocity estimate is of utmost importance. In this work, two methods for velocity estimation using Galileo are presented and compared. The first exploits Doppler shift measurements, while the second uses time difference carrier phase (TDCP) measurements. The Doppler-based technique for velocity estimation is widely adopted in current devices, while the TDCP technique is emerging due to its promising high accuracy. The two methods are compared considering all the Galileo signals including E1, E5a, E5b, E5 Alt BOC and E6. The methods are compared in terms of velocity errors for both horizontal and vertical components using real static data. From the tests performed, it emerged that the TDCP has increased performance with respect to the Doppler-based solution. Among the Doppler-based solutions, the most accurate solution is the one obtained with the E5 Alt BOC signal.
A Deep Learning-Based Algorithm for Identifying Precipitation Clouds Using Fengyun-4A Satellite Observation Data
Authors: Ma Guangyi , Huang Jie , Zhang Yonghong , Zhu Linglong , Lim Kam Sian Kenny Thiam Choy , Feng Yixin , Yu Tianming
Published: August 2023

Rapid and accurate identification of precipitation clouds from satellite observations is essential for the research of quantitative precipitation estimation and precipitation nowcasting. In this study, we proposed a novel Convolutional Neural Network (CNN)-based algorithm for precipitation cloud identification (PCINet) in the daytime, nighttime, and nychthemeron. High spatiotemporal and multi-spectral information from the Fengyun-4A (FY-4A) satellite is utilized as the inputs, and a multi-scale structure and skip connection constraint strategy are presented in the framework of the algorithm to improve the precipitation cloud identification. Moreover, the effectiveness of visible/near-infrared spectral information in improving daytime precipitation cloud identification is explored. To evaluate this algorithm, we compare it with five other deep learning models used for image segmentation and perform qualitative and quantitative analyses of long-time series using data from 2021. In addition, two heavy precipitation events are selected to analyze the spatial distribution of precipitation cloud identification. Statistics and visualization of the experiment results show that the proposed model outperforms the baseline models in this task, and adding visible/near-infrared spectral information in the daytime can effectively improve model performance. More importantly, the proposed model can provide accurate and near-real-time results, which has important application in observing precipitation clouds.
Hybrid Multi-Label Classification Model for Medical Applications Based on Adaptive Synthetic Data and Ensemble Learning
Authors: Priyadharshini M. , Banu A. Faritha , Sharma Bhisham , Chowdhury Subrata , Rabie Khaled , Shongwe Thokozani
Published: August 2023

In recent years, both machine learning and computer vision have seen growth in the use of multi-label categorization. SMOTE is now being utilized in existing research for data balance, and SMOTE does not consider that nearby examples may be from different classes when producing synthetic samples. As a result, there can be more class overlap and more noise. To avoid this problem, this work presented an innovative technique called Adaptive Synthetic Data-Based Multi-label Classification (ASDMLC). Adaptive Synthetic (ADASYN) sampling is a sampling strategy for learning from unbalanced data sets. ADASYN weights minority class instances by learning difficulty. For hard-to-learn minority class cases, synthetic data are created. Their numerical variables are normalized with the help of the Min-Max technique to standardize the magnitude of each variable’s impact on the outcomes. The values of the attribute in this work are changed to a new range, from 0 to 1, using the normalization approach. To raise the accuracy of multi-label classification, Velocity-Equalized Particle Swarm Optimization (VPSO) is utilized for feature selection. In the proposed approach, to overcome the premature convergence problem, standard PSO has been improved by equalizing the velocity with each dimension of the problem. To expose the inherent label dependencies, the multi-label classification ensemble of Adaptive Neuro-Fuzzy Inference System (ANFIS), Probabilistic Neural Network (PNN), and Clustering-Based Decision tree methods will be processed based on an averaging method. The following criteria, including precision, recall, accuracy, and error rate, are used to assess performance. The suggested model’s multi-label classification accuracy is 90.88%, better than previous techniques, which is PCT, HOMER, and ML-Forest is 65.57%, 70.66%, and 82.29%, respectively.
Teeth Lesion Detection Using Deep Learning and the Internet of Things Post-COVID-19
Authors: Shafi Imran , Sajad Muhammad , Fatima Anum , Aray Daniel Gavilanes , Lipari Vivían , Diez Isabel de la Torre , Ashraf Imran
Published: August 2023

With a view of the post-COVID-19 world and probable future pandemics, this paper presents an Internet of Things (IoT)-based automated healthcare diagnosis model that employs a mixed approach using data augmentation, transfer learning, and deep learning techniques and does not require physical interaction between the patient and physician. Through a user-friendly graphic user interface and availability of suitable computing power on smart devices, the embedded artificial intelligence allows the proposed model to be effectively used by a layperson without the need for a dental expert by indicating any issues with the teeth and subsequent treatment options. The proposed method involves multiple processes, including data acquisition using IoT devices, data preprocessing, deep learning-based feature extraction, and classification through an unsupervised neural network. The dataset contains multiple periapical X-rays of five different types of lesions obtained through an IoT device mounted within the mouth guard. A pretrained AlexNet, a fast GPU implementation of a convolutional neural network (CNN), is fine-tuned using data augmentation and transfer learning and employed to extract the suitable feature set. The data augmentation avoids overtraining, whereas accuracy is improved by transfer learning. Later, support vector machine (SVM) and the K-nearest neighbors (KNN) classifiers are trained for lesion classification. It was found that the proposed automated model based on the AlexNet extraction mechanism followed by the SVM classifier achieved an accuracy of 98%, showing the effectiveness of the presented approach.
Analysis of Hyperspectral Data to Develop an Approach for Document Images
Authors: Zaman Zainab , Ahmed Saad Bin , Malik Muhammad Imran
Published: August 2023

Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications. In this manuscript, we have compiled and presented a comprehensive overview of recent advances in hyperspectral data analysis that can provide assistance for the development of customized techniques for hyperspectral document images. We review the fundamental concepts of hyperspectral imaging, discuss various techniques for data acquisition, and examine state-of-the-art approaches to the preprocessing, feature extraction, and classification of hyperspectral data by taking into consideration the complexities of document images. We also explore the possibility of utilizing hyperspectral imaging for addressing critical challenges in document analysis, including document forgery, ink age estimation, and text extraction from degraded or damaged documents. Finally, we discuss the current limitations of hyperspectral imaging and identify future research directions in this rapidly evolving field. Our review provides a valuable resource for researchers and practitioners working on document image processing and highlights the potential of hyperspectral imaging for addressing complex challenges in this domain.
Measuring the Optical Properties of Highly Diffuse Materials
Authors: Nguyen Mathieu , Thomas Jean-Baptiste , Farup Ivar
Published: August 2023

Measuring the optical properties of highly diffuse materials is a challenge as it could be related to the white colour or an oversaturation of pixels in the acquisition system. We used a spatially resolved method and adapted a nonlinear trust-region algorithm to the fit Farrell diffusion theory model. We established an inversion method to estimate two optical properties of a material through a single reflectance measurement: the absorption and the reduced scattering coefficient. We demonstrate the validity of our method by comparing results obtained on milk samples, with a good fitting and a retrieval of linear correlations with the fat content, given by R2 scores over 0.94 with low p-values. The values of absorption coefficients retrieved vary between 1 × 10−3 and 8 × 10−3 mm−1, whilst the values of the scattering coefficients obtained from our method are between 3 and 8 mm−1 depending on the percentage of fat in the milk sample, and under the assumption of the anisotropy factor g>0.8. We also measured and analyzed the results on white paint and paper, although the paper results were difficult to relate to indicators. Thus, the method designed works for highly diffuse isotropic materials.
Academic Entrepreneurial Support, Social Capital, and Green Entrepreneurial Intention: Does Psychological Capital Matter for Young Saudi Graduates?
Authors: Ghodbane Adel , Alwehabie Abdullah
Published: August 2023

The aim of this paper is to show the crucial role that universities play in preparing future green entrepreneurs, as well as the importance of social capital in ensuring the necessary resources and emotional support to develop a green entrepreneurial intention among young graduates. This paper also seeks to show as well the importance of psychological capital as a variable between the academic support offered by universities and the development of a green entrepreneurial intention, and between the social capital of entrepreneurs and the development of a green entrepreneurial intention. The results of this research show strong support for green entrepreneurship through university programs and courses, which clearly have a positive impact on the intention to create green projects. Similarly, the social capital of recent graduates provides not only the necessary resources, but also moral, emotional, and material support. Moreover, green entrepreneurial intentions depend on the positive psychological capital that can be developed in an individual, which is precisely the feeling of personal efficacy and optimism about success. Thus, psychological capital moderates both the relationship between academic support for entrepreneurship and the intention to create green projects, and also the relationship between the latter variable and entrepreneurial social capital.
Research of savings behaviorhouseholds (by the example of the Amur region)
Authors: Serikov Stanislav G. , Ivankova Aleksandra O.
Published: August 2023

The article analyzes the savings behavior of the Amur region population. It was noted that the development of the economy characterized by the decaying growth rates of de-gentle incomes and spending of the population, which began during the crisis of 2008-2009, and then a sharp decline in 2016 until the prerequisites for the transition to a higher "corridor" the growth rates of these indicators. in general, for 2010-2020. the population savings were reduced by 15 %, during individual periods (2017-2018) the fall in this indicator was even more expensive, which is primarily due to the stagnation of real money income and spending on durable goods. Against the background of the growth of expenses and reduce savings, the continued increase in mortgage loan goods was revealed. the current trends can lead to significant economic and social problems, since the excessive debt burden associated with a reduction in the volume of savings of the population carries the threat of mass bankruptcies, a decrease in the investment activity of economic entities and the solvency of banking sector entities and the imbalance of the economy as a whole. A number of measures aimed at maintaining the level of personal finances of households are proposed.
Engendering Behavior Change Through Single-Session Workshops: Lessons Learned from Extension's Private Well Initiative
Authors: McCann Alyson , Gold Arthur
Published: August 2023

Based on a follow-up mail survey conducted in 2009, we found that structured, one-time workshops can influence and impact participant behavior change. Survey results suggest that brief workshops, staffed by key resource personnel, can have a powerful influence on participant behavior change and fill an important gap in rural drinking water protection. As a result of these educational workshops, we have learned that single-session workshops with supporting materials can encourage: (1) Testing of drinking water wells, (2) Contacting resource experts for more information and assistance, and (3) Sharing management information with other private well owners.
Evidence of Impact: Examination of Evaluation Studies Published in the Journal of Extension
Authors: Workman Jeffrey , Scheer Scott
Published: July 2023

Research was conducted to explore the level of evidence of impact collected through program evaluation (outcome studies) by Extension as published in JOE. Articles reviewed were those listed under the headings of "Feature Articles" and "Research in Brief" in 5-year increments (1965-69, 1975-79, 1985-89, 1995-99, and 2005-09). The design used a form of quantitative content analysis. The data indicate that 88.5% of the articles documented evidence above the level of participation and that almost two-thirds were measuring outcomes; however, only 5.6% documented long-term outcomes. The findings have implications for improving Extension's public value through documented evidence of impact.
4-H Participation and Science Interest in Youth
Authors: Heck Katherine , Carlos Ramona , Barnett Cynthia , Smith Martin
Published: July 2023

The study reported here investigated the impacts of participation in 4-H on young people's interest and participation in science. Survey data were collected from relatively large and ethnically diverse samples of elementary and high school-aged students in California. Results indicated that although elementary-grade 4-H members are not more interested in science than other youth, by high school, participation in 4-H is associated with a greater number of science classes and higher-level science coursework. These results suggest that the 4-H program may have the ability to influence science interest and participation in the long term among its members.
Factors Associated with Behavioral Compliance to Prevent the Spread of Viral Hemorrhagic Septicemia
Authors: Shaw Bret , Dalrymple Kajsa , Brossard Dominique
Published: July 2023

This article examines the relationship between awareness, knowledge, and motivations in adopting behaviors that prevent the spread of Aquatic Invasive Species (AIS) such as Viral Hemorrhagic Septicemia (VHS) among boaters and anglers who are a primary mechanism by which VHS can spread degrading water quality and fisheries. Although previous Extension efforts have focused on imparting knowledge to change environmental behaviors, results of the study reported in this article suggest that awareness and intrinsic motivation to protect the environment play a stronger role in adopting behaviors to prevent the spread of VHS. Implications for Extension professionals outreach efforts are discussed.
North Central Region 4-H Volunteers: Documenting Their Contributions and Volunteer Development
Authors: Nippolt Pamela , Pleskac Sue , Schwartz Vicki , Swanson Doug
Published: July 2023

Documenting volunteer contributions strengthens Extension partnerships with volunteers. A team of North Central Region 4-H volunteer specialists collaborated to conduct a study of 4-H volunteer contributions and impacts related to working with youth within the 4-H program. Over three thousand (3,332) 4-H volunteers from throughout the 12-state North Central Region completed the survey. Volunteers are critical partners to the success of 4-H, making it possible for millions of young people to have access to 4-H programs.
Home on the Range-Health Literacy, Rural Elderly, Well-Being
Authors: Young David , Weinert Calrann , Spring Amber
Published: July 2023

The demographic and socioeconomic impacts of the baby boomer generation turning 65 in 2011 will be magnified in rural areas where elderly are already disproportionately represented. The overall goal of a collaborative, community-based project was to improve the health literacy, health outcomes, and overall well-being of rural elderly in four small, rural communities. The methodology involved implementing four documented interventions working with Extension agents, senior center directors, librarians, and public health nurses in the communities. Extension can play a critical leadership role working with other key community stakeholders in improving health literacy, health and well-being of rural elderly.
Jump Into Action
Authors: Ball Stephen , Cohen Ann , Meyer Margaret
Published: July 2023

Jump Into Action (JIA) is a school-based team-taught program to help fifth-grade students make healthy food choices and be more active. The JIA team (physical education teacher, classroom teacher, school nurse, and parent) work together to provide a supportive environment as students set goals to improve food choices and increase activity. Following the program, students demonstrated increased self efficacy and knowledge of health behaviors. Students also reported, 1) drinking less soda and sugar added drinks, 2) spending more time being physically active, and 3) consuming four servings of dairy products more frequently.
The Value in Evaluating and Communicating Program Impact: The Ohio BR&E Program
Authors: Davis Gregory
Published: July 2023

Assessing program impact can provide useful program evaluation data. It also provides a basis for program development, marketing, and justification. This article discusses recent impact evaluation efforts and findings of a long-time Extension program; referred to as Business Retention and Expansion (BR&E). How such information can be communicated to existing program underwriters and prospective program partners is also described.
Extension Professionals' Strengths and Needs Related to Nutrition and Health Programs
Authors: Purcell Ninfa , Bowen Elaine , Zoumenou Virginie , Schuster Ellen
Published: July 2023

We report results of a Web-based nationwide survey of nutrition and health Extension specialists representing 42 states. Survey items (n = 36) assessed five areas: curriculum review, nutrition and physical activity, professional training, communication, and evaluation. An internal curriculum review was common, but few states shared their criteria or process on-line. The majority of respondents reported discussing physical activity, and over half lead physical activities. Most favored on-line professional development training and a one-stop website for sharing information and resources. Evaluation data were most commonly collected for food safety, healthy eating and physical activity, and food resource management.
The Need for Accurate Prediction Equations for the Carcass Lean Content of Pigs
Authors: Schinckel Allan , Rusk Clinton
Published: July 2023

Prediction equations for pork carcass lean percentage are widely used in Extension, teaching, and research. Prediction equations using carcass or live animal measurements are used in carcass contests, live animal evaluation, and marketing. Fat–free lean gain is used to estimate the daily lysine requirements for pigs in swine nutrition guides. The use of inaccurate equations has substantial economic impact. Extension specialists must make the effort to confirm the accuracy of the equations they recommend for use. Standards of prediction accuracy and biases must be developed to assure that accurate equations are developed and recommended for industry use.
Assessment of Pork Producer Educational Needs for Adoption of Group Sow Housing
Authors: Bates Ronald , Ferry Elizabeth , Guthrie Thomas , May Gerald , Rozeboom D W , Siegford Janice
Published: July 2023

Pork producers in Michigan and several other states are mandated through regulation or legislation to house gestating sows in groups. Focus groups with Michigan pork producers were completed to determine their educational needs to transition from individual housing to group sow housing. Pork producers indicated that their strategic education needs were: retrofitting existing facilities, feeding systems, employee training, new construction, genetics, and production scheduling. Regarding implementation, producers indicated that education would be needed on defining a sow group, stockperson training, medical care, and feeding and watering. Depending on the topic, producers indicated different educational media preferences for program delivery.
The Changing Interest in Organic Agriculture in Texas and Its Implications for Texas AgriLife Extension Service
Authors: Lillard Patrick , Lindner James
Published: July 2023

The study reported here sought to determine the level of demand Texas AgriLife Extension agents are receiving for information on organic agriculture and their interest in training on organic agriculture. A majority of agents perceived the interest in organic agriculture was low to moderate in their respective counties, but was increasing. Agents indicated they had not received much formal training in organic agriculture but expressed an interest in training and noted traditional information resources and Extension workshops would be the most useful.
Making the Case for Demographic Data in Extension Programming
Authors: Curtis Katherine , Veroff Daniel , Rizzo Bill , Beaudoin James
Published: July 2023

Understanding one's community is essential for effective Extension programming across all program areas. The use of current and reliable demographic data is crucial for Extension to develop effective education and programming to track change and to uncover hidden community characteristics. We discuss what demographic data are, present examples of programming applications using demographic data and their importance for communities, and detail how to access demographic data.
A Multilayered Magnetoelectric Transmitter with Suppressed Nonlinearity for Portable VLF Communication
Authors: Chu Zhaoqiang , Mao Zhineng , Song Kaixin , Jiang Shizhan , Min Shugang , Dan Wei , Yu Chenyuan , Wu Meiyu , Ren Yinghui , Lu Zhichao , Jiao Jie , Nan Tianxiang , Dong Shuxiang
Published: August 2023

Acoustically actuated magnetoelectric (ME) antenna based on the efficient oscillation of magnetic dipoles has recently been considered as a promising solution for portable very-low-frequency communications. However, the severe nonlinear dynamic behavior in the case of strong-field excitation results in insufficient radiation capability and poor communication performance for a conventional ME antenna. In this work, we propose to suppress the nonlinearity of an ME antenna by neutralizing the spring-hardening effect in amorphous Metglas and the spring-softening effect in piezoelectric ceramics through an ME multilayered transmitter (ME-MLTx) design. With a driving voltage of 50 V
pp
at the resonance frequency of 21.2 kHz, a magnetic flux density as high as 108 fT at a distance of 100 m is produced from a single ME-MLTx. In addition, ME-MLTx performs a decreased mechanical quality factor (
Q
m
) less than 40.65, and, thus, a broadened bandwidth of 500 Hz is generated. Finally, a communication link transmitting binary American Standard Code for Information Interchange-coded message is built, which allows for an error-free communication with a distance of 18 m and a data rate of 300 bit/s in the presence of heavy environment noise. The communication distance can be further estimated over 100 m when using a femtotesla-class-inductive magnetic field receiver. The obtained results are believed to bring ME antennas one step closer to being applicable in very-low-frequency communications.
The correlation of estrogen and progesterone receptor expression with prognostic parameters in women with breast cancer
Authors: Eskandari Shahnaz , Baradaran Azar , Ghorbani Sarah , Masoumzade Parisa
Published: July 2023

Introduction: Progesterone and estrogen receptor (PR and ER) expression are considered the oldest biomarkers. The presentation of these markers can guide the treatment in breast cancer patients because of their predictive value in hormonal therapy responsiveness and prognosis. Objectives: This study investigated the correlation between estrogen and PR expression with prognostic parameters of breast cancer, including age, grading, staging, tumor size, and lymph node spread. Patients and Methods: This cross-sectional study included 245 cases of breast tumors. Characteristics of patients, including age, the status of ER and PR biomarkers, tumor type, pathological features of cancer, and staging, were documented from case files. Accordingly, SPSS version 27 software was conducted for data analysis. The collected data were analyzed using the Spearman’s correlation, Mann-Whitney U and chi-squared tests. A P value < 0.05 is considered statistically significant. Results: High ER and PR expression (>50%) were found in 56.7% and 40.4% of cases, respectively. Most of the tumors in patients belonged to grade 2 (56.3%) and staging IIA, IIB, and IIIA. We found a significant correlation between ER expression, breast cancer grading, and patients’ age. PR expression was significantly associated with breast cancer staging, grading, size, and lymph node spread. Conclusion: These results highlight the value of ER and PR expression as they can determine the clinicopathological parameters of the tumor, which can be helpful for better-managing breast cancer.
Metabolic syndrome in parathyroid diseases
Authors: Mahmoodnia Leila
Published: July 2023

Metabolic syndrome is a cluster of metabolic abnormalities, including central obesity, insulin resistance, dyslipidemia, and hypertension. Parathyroid diseases are a group of disorders that affect the parathyroid glands’ function, which regulates the body’s calcium and phosphorus levels. There is growing evidence that parathyroid diseases may be associated with metabolic syndrome. There is a growing body of evidence suggesting a possible association between parathyroid diseases and metabolic syndrome. Hyperparathyroidism and secondary hyperparathyroidism are associated with insulin resistance and dyslipidemia, while hypoparathyroidism is associated with hypocalcemia-induced metabolic abnormalities. Further studies are needed better to understand the relationship between parathyroid diseases and metabolic syndrome and to develop effective treatment strategies. Hyperparathyroidism is a common parathyroid disease characterized by excessive secretion of parathyroid hormone (PTH). Parathormone plays a crucial role in calcium homeostasis and bone metabolism. However, excessive PTH secretion can lead to hypercalcemia, which can cause metabolic abnormalities such as insulin resistance and dyslipidemia. Studies have shown that patients with primary hyperparathyroidism have a higher metabolic syndrome prevalence than the general population. Secondary hyperparathyroidism is another parathyroid disease in patients with chronic renal failure. Chronic kidney disease leads to impaired renal function, which results in decreased vitamin D synthesis and increased PTH secretion. Secondary hyperparathyroidism is associated with bone mineral disorders and cardiovascular disease. Studies have also shown that secondary hyperparathyroidism is associated with metabolic abnormalities such as insulin resistance and dyslipidemia.
Alimentos Seguros
Authors: Freire Fontele Maria Luiza , da Silveira Queiroz Herlene Greyce
Published: July 2023

Em um país que voltou a registrar mais de 100 milhões de pessoas em situação de insegurança alimentar, ou seja, que não têm garantias de uma alimentação básica para sua sobrevivência, é fundamental darmos atenção ao tema. Só para citar alguns impactos que uma alimentação inadequada pode gerar, a saúde e a educação de crianças ficam comprometidas, ou seja, carências nessa fase repercutem por toda a vida e, consequentemente, no futuro brasileiro. Por isso, estimularmos e orientarmos nossas crianças a conhecerem as formas de buscar uma alimentação segura e saudável. Para isso, foi desenvolvida esta obra, em formato de história em quadrinhos, de forma lúdica, didática e simples, com o objetivo de munir nossas crianças e adolescentes com informações importantes, em um esforço de multiplicar conhecimento e atitudes que, mesmo aparentemente simples, podem fazer a diferença em suas vidas e nas das pessoas próximas a elas.
Pedagogía crítica y justicia social como un enfoque educativo para abordar desigualdades
Authors: Holmos-Flores Erlinda , Buendía-Aparcana Roberto Reymundo , Castilla-Anchante Percy Elisban , Martínez-Muñoz Gilmer Gustavo
Published: July 2023

El presente estudio tuvo como objetivo promover la pedagogía crítica y la justicia social como un enfoque educativo para abordar las desigualdades en el ámbito educativo. Se llevó a cabo bajo un enfoque cuantitativo y una metodología descriptiva. La investigación se realizó con 20 estudiantes pertenecientes al Colegio Andrés Bello de Perú, donde se estudiaron la pedagogía crítica, justicia social, la reflexión crítica, la equidad y la inclusión como variables centrales del estudio dentro de un entorno educativo con igualdad de oportunidades y el respeto por la diversidad. Como conclusión, se pudo determinar que la pedagogía crítica se basa en un enfoque reflexivo que busca empoderar a los estudiantes, desarrollar su conciencia crítica y promover la participación activa en la transformación de la sociedad mientras que la justicia social, por su parte, busca garantizar la igualdad de oportunidades para todos los individuos, sin importar su origen social, económico o cultural.
Manejo de residuos sólidos en la gestión municipal: Revisión sistémica
Authors: Herrera-Uchalin Marilia Ghardenny , Valiente-Saldaña Yoni Mateo , Garibay-Castillo Julio Víctor , Herrera-Cherres Santos
Published: July 2023

Se tiene por objetivo analizar el manejo de residuos sólidos en la gestión municipal desde una revisión sistémica. La metodología tuvo congruencia con el enfoque cuantitativo, de tipo exploratorio – bibliométrico. Los estudios revisados ​​tienen como objetivo diagnosticar y evaluar el impacto de los residuos sólidos generados por diversas ciudades y sectores económicos sobre el medio ambiente, las actividades ecoturísticas, la salud pública; también en este proceso es posible identificar los residuos domésticos más comunes y determinar las propiedades de los materiales en vertederos y depósitos de residuos industriales.
Evaluación alternativa y evaluación tradicional en el contexto de la educación universitaria
Authors: Holmos-Flores Erlinda , Atencio-Gonzáles Rously Eedyah , Espinoza-Moreno Tula Margarita , Abarca-Arias Yessika Madelaine
Published: July 2023

En el presente estudio, se investigó la efectividad de la evaluación alternativa en comparación con la evaluación tradicional en el contexto de la educación universitaria. La evaluación tradicional, que se basa principalmente en exámenes escritos, ha sido ampliamente utilizada durante décadas. Sin embargo, en los últimos años ha surgido un creciente interés en enfoques de evaluación alternativa, que buscan medir el aprendizaje de los estudiantes de manera más holística e inclusiva. Para ello, se trabajó con un grupo de 40 estudiantes universitarios divididos en dos cohortes: uno sometido a la evaluación tradicional mediante exámenes escritos y pruebas estandarizadas y otro a la evaluación alternativa mediante proyectos, presentaciones, debates y evaluaciones por pares. También se realizaron entrevistas y encuestas a los estudiantes. Los resultados sugieren que la evaluación alternativa tiene un impacto positivo en el rendimiento académico de los estudiantes, así como en su motivación y compromiso con el aprendizaje.
Predicción de homicidios desde la regresión logística en el distrito metropolitano de Quito, Ecuador
Authors: Chávez-Cadena Marco Iván , Abril-Donoso Mauricio Enrique
Published: July 2023

El objetivo de la investigación se basa en presentar los resultados de un modelo de predicción de homicidios desde la regresión logística en el distrito metropolitano de Quito – Ecuador. El enfoque de la investigación fue cuantitativo, con un alcance descriptivo. El paso 7 indica un valor de Wald de 9,284 y significancia de 0,002 para la variable lugar donde fue cometido el homicidio (1), indicandose con 1 para la alternativa “vía pública”, con un valor para Exp(B) de 0,08 por lo que el modelo predice que las personas tienen una probabilidad de 0,08 de sufrir un homicidio en la vía pública, en comparación a otro lugar donde se encuentren. El modelo permite predecir que la vía pública es el lugar donde existe mayor probabiidad de sufrir un homicidio, esto por igual para las personas de toda edad, género, nacionalidad.
Olaibarko euskal bertso papera
Authors: Satrustegi Josemari
Published: August 2023

Olaibarko euskal eskuizkribu argitaragabe bat azaltzen da lan honetan. Bertsotan dago eta apaizen baten aurkako salaketa du gaia. Ez da jatorrizko testua. Ahozko tradiziotik jasoa dirudi eta aldakiak hutsune asko dauzka. Olaitzen agertu da eta ibar horretan euskara galdurik dagoenez lekukotasun baliagarria izan daiteke.
In silico analysis of potential loci for the identification of Vanda spp. in the Philippines
Authors: Rodriguez Euricka Mae F. , Racelis Ma. Sophia O. , Calonzo Anna Alliah D. , Clemente Richard F. , Alaijos Oliver R. , Ong Christian Joseph N.
Published: August 2023

Difficulties in identifying Vanda species are still encountered, and the ambiguity in its taxonomy is still unresolved. To date, the advancement in molecular genetics technology has given rise to the molecular method for plant identification and elucidation. One hundred twenty-five (125) gene sequences of Vanda species from the Philippines were obtained from the NCBI GenBank. Four of the 25 loci were further examined using MEGA 11 software for multiple sequence alignment, sequence analysis, and phylogenetic reconstruction. The indel-based and tree-based methods were combined to compute the species resolution. The result showed that ITS from the nuclear region obtained the highest species resolution with 66.67%. It was then followed by psbA-trnH, matK, and trnL-trnF from the chloroplast genome with a species resolution of 60%, 40%, and 30.77%, respectively. ITS and psbA-trnH satisfied the ideal length for DNA barcoding as they have 655 bp and 701 bp, respectively. The locus psbA-trnH was also considered to have a higher potential to discriminate Vanda species since only a few sequences were tested for ITS. Furthermore, ITS and trnL-trnF have the highest variable rate, which is 2.9%, while matK and psbA-trnH have 2% and 1.3%, respectively. This showed the nature of the unique sequences of various species. In this study, the indel-based method provided better results than the tree-based method. It will help support further DNA barcoding studies and strengthen the conservation and protection of Vanda spp. in the Philippines.
A Whole Education Approach to Inclusive Education: Conceptualising a Sustainable Future for Inclusive Education Provision
Authors: Kenny Neil , McCoy Selina , Norman James O'Higgins
Published: July 2023

Inclusion is an important aspect of achieving the Sustainable Development Goals (SDGs) in education. This article will discuss the significance of recent developments in the field of school-based bullying prevention and evaluate their applicability to the policy discourse of inclusive education 2,3. Both inclusive education and school-based bullying remain contested phenomena without a clear consensus regarding their definition nor how to operationalise them as concepts within school policy or practice effectively. UNESCO’s Scientific Committee have recently proposed the Whole Education Approach, which conceptualises a holistic, socially engaged, and interconnected vision for policy development in addressing school-based bullying prevention. Importantly, the Whole Education Approach conceptualises incidences of bullying as indicative of a deficit of care and support within the surrounding social environment, thus adopting an ecological and relational focus regarding bullying prevention. In addition, bullying prevention is viewed as requiring co-herent collaboration between the school, family, and other relevant stakeholders in the local social community surrounding the school. This includes government funding and resourcing policy and national legal frameworks. This article argues that this approach may also have utility within inclusive education policy in supporting a more integrated and holistic promotion of social inclusion, underpinning equal opportunities in recognising the diverse needs of all learners in schools. This article discusses the details of the Whole Education Approach and emphasises how this framework also can address educational inclusion in adopting an integrated, multi-elemental focus on supporting collaboration across stakeholders relevant to the lives of pupils within schools.
Clinical and biostatistical approach to assessing the severity of physical status of patients with combined midface trauma. Part 2
Authors: Nassar A.N.I. , Bart V.A. , Madai D.Yu. , Iordanishvili A.K. , Idris M.I.
Published: July 2023

Objective. To develop a method for predicting mortality among patients with combined midface trauma (CMFT).
Materials and methods. This study is based on the examination results of 95 patients with CMFT. Depending on the outcome of CMFT, 2 groups of patients were formed: the first group – patients with a favorable outcome (n=50); the second group – patients with an unfavorable outcome (n=45). A group of physiological parameters was measured on the 1st, 3rd, 7th and 14th days of patients’ hospital stays. The creation of the CMFT outcomes predicting method was carried out using factor analysis (principal component method) and discriminant analysis.
Results. The CMFT outcomes predicting method has been developed in two variants. The first variant (with parameters of the blood gas test) includes the following parameters: leukocyte index of intoxication according to Ya.Ya. Kalf-Kalifu (LII), blood glucose level, concentration of potassium ions in the blood (K+), international normalized ratio, partial pressure of carbon dioxide in arterial blood, partial pressure of oxygen in arterial blood, measured on the 3rd day after injury, and also the age of the patient, evidence of cardiovascular diseases in patient’s medical history and the occurrence of cerebral edema after the injury. The second variant (without the parameters of the blood gas test) includes the following parameters: absolute number of leukocytes (on the 1st day after injury), LII, K+, blood urea level, absolute number of lymphocytes, measured on the 3rd day after injury, as well as patient’s age, evidence of cardiovascular diseases in patient’s medical history and the occurrence of cerebral edema after injury. The classification accuracy when using the first variant was 100%, the second variant – 98.4%.
Conclusions. Taking into account the set of variables included in our study, and based on the results of this study published in the first and in this part of this article, we can conclude that the optimal time point for predicting the CMFT outcomes is the 3rd day after injury. The method for predicting the CMFT short-term outcomes developed in our study can be used in determining the timing for reconstructive surgery as part of the damage control surgery treatment of patients with this pathology.