Integrated Method Research Articles

Study on canopy extraction method for narrowband spectral images based on superpixel color gradation skewness distribution features

BackgroundCrop phenotype extraction devices based on multiband narrowband spectral images can effectively detect the physiological and biochemical parameters of crops, which plays a positive role in guiding the development of precision agriculture. Although the narrowband spectral image canopy extraction method is a fundamental algorithm for the development of crop phenotype extraction devices, developing a highly real-time and embedded integrated narrowband spectral image canopy extraction method remains challenging owing to the small difference between the narrowband spectral image canopy and background.MethodsThis study identified and validated the skewed distribution of leaf color gradation in narrowband spectral images. By introducing kurtosis and skewness feature parameters, a canopy extraction method based on a superpixel skewed color gradation distribution was proposed for narrowband spectral images. In addition, different types of parameter combinations were input to construct two classifier models, and the contribution of the skewed distribution feature parameters to the proposed canopy extraction method was evaluated to confirm the effectiveness of introducing skewed leaf color skewed distribution features.ResultsLeaf color gradient skewness verification was conducted on 4200 superpixels of different sizes, and 4190 superpixels conformed to the skewness distribution. The intersection over union (IoU) between the soil background and canopy of the expanded leaf color skewed distribution feature parameters was 90.41%, whereas that of the traditional Otsu segmentation algorithm was 77.95%. The canopy extraction method used in this study performed significantly better than the traditional threshold segmentation method, using the same training set, Y1 (without skewed parameters) and Y2 (with skewed parameters) Bayesian classifier models were constructed. After evaluating the segmentation effect of introducing skewed parameters, the average classification accuracies Acc_Y1 of the Y1 model and Acc_Y2 of the Y2 model were 72.02% and 91.76%, respectively, under the same test conditions. This indicates that introducing leaf color gradient skewed parameters can significantly improve the accuracy of Bayesian classifiers for narrowband spectral images of the canopy and soil background.ConclusionsThe introduction of kurtosis and skewness as leaf color skewness feature parameters can expand the expression of leaf color information in narrowband spectral images. The narrowband spectral image canopy extraction method based on superpixel color skewness distribution features can effectively segment the canopy and soil background in narrowband spectral images, thereby providing a new solution for crop canopy phenotype feature extraction.

Developing a community-based, multicultural-friendly prenatal education pilot program

Purpose: The purpose of this study was to examine the acceptability, availability and sustainability of a pilot prenatal program developed by an interdisciplinary team. Methods: Out of 19 multicultural women participated in the 6-session prenatal program, 6 women took part in an exit- focus group interview as a part of formative evaluation. The verbatim transcriptions of semi-structured interview data were analyzed using conventional content analysis. Results: In general, the participants expressed high satisfaction with program content, educators and education methods. A hybrid model including health professionals and community health workers and using online and offline education modes was suggested as a way to disseminate the program at a national level. Interventions using aesthetic approaches such as music and an integrated method such as the introduction of available social services in pregnancy and during the postpartum period may play a role as the facilitator of the program participation of multicultural women. These approaches may also help them develop healthy coping skills, problem solving skills and empowerment in multicultural childbearing women who need to adjust to life in a new country simultaneously taking a new role as a mother. Conclusion: An interdisciplinary prenatal program using a holistic approach contributes to enhancing multicultural women’s empowerment to become a mother in a new country.

An Integrated Frequency Regulation Method Based on System Frequency Security Posture

As the share of renewable energy in a grid increases, the grid’s frequency support capability weakens, and the spatial distribution of grid frequency becomes more pronounced. As a result, control strategies based on system frequency consistency and traditional frequency regulation dominated by synchronous machines are becoming increasingly inadequate for meeting the frequency regulation requirements of new-type power systems. To enhance the system’s frequency support capability, it is imperative to fully utilize the frequency regulation resources within the power system. To address this issue, this paper first introduces a system frequency security posture assessment method that accounts for the spatial distribution characteristics of the grid. Subsequently, a parameter optimization method for diverse frequency regulation resources is proposed in conjunction with the proposed comprehensive evaluation method for frequency regulation. Next, using a renewable energy feeder regional grid as an example, an integrated frequency regulation method based on the system frequency security posture is presented. Finally, the frequency regulation performance and economic costs of different frequency regulation methods are analyzed under various operating scenarios and disturbances using a model based on actual data from the renewable energy feeder regional grid. The simulation and index calculation results demonstrate that the method proposed in this paper effectively enhances the system’s frequency support capability, reduces the frequency disparity between different nodes within the grid, and maintains high economic performance.

An integrated method to identify and improve logistical gaps

ABSTRACT This paper reviews the critical elements of the SCOR model and its applications in solving logistical problems. It also discusses the theoretical approach to BSC concepts and the analysis of the tactical scenario and a company’s restrictions. The study is inductive, validating theoretical aspects that can be generalised through empirical testing. The proposed methodology integrates the BSC and SCOR models, aligning operational and strategic indicators, to performance measurement and achieving profitability objectives. The model integrated suppliers, improving inventory management and productivity, and its structure is defined from the company’s main decisions related to supply chain processes. The SCOR and Balanced Scorecard models were tested in a logistic process in a hardware store, with no known background in the literature on its application in this industry. These two models were integrated into a unified tool, with an indicator dashboard as an output, to support decision-making at both strategic and operational (logistics) levels.

Combining Computational Fluid Dynamics and Experimental Data to Understand Fish Schooling Behavior.

Understanding the flow physics behind fish schooling poses significant challenges due to the difficulties in directly measuring hydrodynamic performance and the three-dimensional, chaotic, and complex flow structures generated by collective moving organisms. Numerous previous simulations and experiments have utilized computational, mechanical, or robotic models to represent live fish. And existing studies of live fish schools have contributed significantly to dissecting the complexities of fish schooling. But the scarcity of combined approaches that include both computational and experimental studies, ideally of the same fish schools, has limited our ability to understand the physical factors that are involved in fish collective behavior. This underscores the necessity of developing new approaches to working directly with live fish schools. An integrated method that combines experiments on live fish schools with computational fluid dynamics (CFD) simulations represents an innovative method of studying the hydrodynamics of fish schooling. CFD techniques can deliver accurate performance measurements and high-fidelity flow characteristics for comprehensive analysis. Concurrently, experimental approaches can capture the precise locomotor kinematics of fish and offer additional flow information through particle image velocimetry (PIV) measurements, potentially enhancing the accuracy and efficiency of CFD studies via advanced data assimilation techniques. The flow patterns observed in PIV experiments with fish schools and the complex hydrodynamic interactions revealed by integrated analyses highlight the complexity of fish schooling, prompting a reevaluation of the classic Weihs model of school dynamics. The synergy between CFD models and experimental data grants us comprehensive insights into the flow dynamics of fish schools, facilitating the evaluation of their functional significance and enabling comparative studies of schooling behavior. In addition, we consider the challenges in developing integrated analytical methods and suggest promising directions for future research.

A new evaluation method for sand control performance of slotted screen

Evaluation method of slotted screen performance is a critical concern for sand control. Despite its significance, comprehensive investigations into quantitative study of sand retaining during the complex flow process need further in-depth study, particularly in numerical simulation research model of the slotted screen. This paper adopts the two-way coupling calculation method of computational fluid dynamics (CFD) and discrete element method (DEM) for the particle movement and fluid flow at the slotted screen and establishes a numerical model of the sand particle migration process through the slotted screen. The sand particle deposition and plugging dynamics on the surface of the sand retaining medium and the micro sand plugging mechanism and blockage pattern are studied. The fractal dimension of formation sand is introduced to characterize different distribution of formation sand. The effects of fluid viscosity, width of the slotted screen, sand production concentration, fluid velocity and particle size distribution on sand production, sand passing rate and particle size distribution of formation sand passing through the slot and plugging behavior are studied. The sand plugging process of slotted screen can be divided into three stages: the beginning of blockage, the intensification of blockage, and the balance of blockage. Under simulated conditions, the initial sand plugging rate is 87%, and as the blockage intensifies, the sand plugging rate gradually increases to 96.5%. Based on the analysis of numerical simulation results, the index of total seepage resistance damage amplitude and velocity, general sand retention ratio and passed-sand size were defined to construct the integrated evaluation method of slotted screen media, which involves the performance of sand retention, anti-plugging and flow ability. A brand new set of ideas on quantifying the integrated evaluation method were introduced to calculate the individual and integrated performance indicators of the slotted screen based on simulated data. The quantitative evaluation of the sand control performance of the slotted screen provides guidance and reference for the parameter design of the slotted screen in the target oil region and the accuracy optimization of the sand control medium.

Investigating Students' Clinical Experiences of Learning the Nursing Process Using an Integrated Teaching-Learning Method at Shahid Qazi Tabatabaei Hospital: A Qualitative Content Analysis

Introduction: Integrated teaching-learning methods have demonstrated potential in enhancing students' cognitive skills and, subsequently, the quality of patient care. This qualitative study aimed to explore the learning experiences of nursing students engaged in an integrated teaching-learning method during their clinical education in oncology nursing. Method: : Semi-structured interviews were conducted with 19 nursing students who had completed a clinical training program in oncology nursing using an integrated teaching-learning method. Conventional qualitative content analysis was employed to analyze the data, identifying sub-categories and categories related to students' experiences. Results: The analysis revealed four main categories: (1) sustained cognitive learning, (2) non-cognitive learning, (3) application of learned concepts in real-world situations, and (4) students' suggestions for improving the learning of the nursing process. Conclusion: The findings suggest that an integrated teaching-learning method, implemented as a creative and student-centered approach at the bedside, effectively enhances both cognitive and non-cognitive skills, facilitating the practical application of learned concepts. To fully leverage the benefits of this method, its implementation should be expanded across clinical education units, starting in lower semesters. Simultaneously, optimizing real-world clinical education environments will further accelerate positive educational outcomes, enhancing students' cognitive and non-cognitive skills and creating a foundation for applying learned concepts in clinical practice.

The Effectiveness of Communicative and Test-Focused Approaches in TOEFL® Preparation Classes

This study investigates the effectiveness of the Communicative Approach and the Test-Focused Approach in TOEFL® preparation classes. Sixty-four students from Islamic Senior High School Madrasah Aliyah Al-Insan (pseudonym) in Jombang, East Java, Indonesia, were divided into two groups: one receiving instruction based on the Communicative Approach and the other on the Test-Focused Approach. Using a quasi-experimental design, pre-test and post-test scores were analyzed to measure improvements in TOEFL performance. The results showed significant score increases in both groups. The Communicative Approach group’s mean pre-test score of 456 improved to 483 post-intervention, while the Test-Focused Approach group’s mean score rose from 460 to 493. The paired sample t-test results indicated statistically significant improvements within each group, with p-values of 0.00 for the Communicative Approach and 0.00 for the Test-Focused Approach. Additionally, the independent sample t-test revealed that the Test-Focused Approach group performed significantly better than the Communicative Approach group post-intervention, with a p-value of 0.030. These findings align with existing theories on language learning and test preparation, suggesting that while communicative methods enhance overall language proficiency, test-focused strategies more effectively boost immediate test performance. The study concludes that integrating both approaches in TOEFL preparation programs can provide a balanced and comprehensive strategy, optimizing both language development and test readiness. Future research should explore the long-term effects of such integrated methods on students' language proficiency and academic success.

Flooding Hazard Vulnerability Assessment Using Remote Sensing Data and Geospatial Techniques: A Case Study from Mekkah Province, Saudi Arabia

Flash floods are catastrophic phenomena that pose a serious risk to coastal infrastructures, towns, villages, and cities. This study assesses the risk of flash floods in the ungauged Mekkah province region based on specific and effective morphometric and topographic features characterizing the study region. Shuttle Radar Topography Mission (SRTM) data were employed to construct a digital elevation model (DEM) for a detailed analysis, and the geographical information systems software 10.4 (GIS) was utilized to assess the linear, area, and relief aspects of the morphometric parameters. The ArcHydro tool was used to prepare the primary parameters, including the watershed border, flow accumulation, flow direction, flow length, and stream ordering. The study region’s flash flood hazard degrees were assessed using several morphometric characteristics that were measured, computed, and connected. Two different and effective methods were used to independently develop two models of flood vulnerability behaviors. The integrated method analysis revealed that most of the eastern and western parts of the studied province provide high levels of flood vulnerability. Due to it being one of the most helpful topographic indices, the integrated flood vulnerability final map was overlayed with the topographic position index (TPI). The integrated results aided in understanding the link between the general basins’ morphometric characteristics and their topographical features for mapping the different flood susceptibility locations over the entire studied province. Thus, this can be applied to investigate a surface-specific reduction plan against the impacts of flood hazards in the studied landscape.

HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity.

Epidemiologic and genetic studies in many complex diseases suggest subgroup disparities (e.g. by sex, race) in disease course and patient outcomes. We consider this from the standpoint of integrative analysis where we combine information from different views (e.g. genomics, proteomics, clinical data). Existing integrative analysis methods ignore the heterogeneity in subgroups, and stacking the views and accounting for subgroup heterogeneity does not model the association among the views. We propose Heterogeneity in Integration and Prediction (HIP), a statistical approach for joint association and prediction that leverages the strengths in each view to identify molecular signatures that are shared by and specific to a subgroup. We apply HIP to proteomics and gene expression data pertaining to chronic obstructive pulmonary disease (COPD) to identify proteins and genes shared by, and unique to, males and females, contributing to the variation in COPD, measured by airway wall thickness. Our COPD findings have identified proteins, genes, and pathways that are common across and specific to males and females, some implicated in COPD, while others could lead to new insights into sex differences in COPD mechanisms. HIP accounts for subgroup heterogeneity in multi-view data, ranks variables based on importance, is applicable to univariate or multivariate continuous outcomes, and incorporates covariate adjustment. With the efficient algorithms implemented using PyTorch, this method has many potential scientific applications and could enhance multiomics research in health disparities. HIP is available at https://github.com/lasandrall/HIP, a video tutorial at https://youtu.be/O6E2OLmeMDo and a Shiny Application at https://multi-viewlearn.shinyapps.io/HIP_ShinyApp/ for users with limited programming experience.

An Integrative Approach for Endometriosis-Related Pain.

Pain is a common, severe symptom related to endometriosis. Despite this prominent feature, there is limited literature regarding its description and use of integrative treatment methods. We aimed to describe endometriosis-related pain characteristics, severity, and association with an integrative approach encompassing pharmacological and non-pharmacological methods. A cross-sectional descriptive correlational study was conducted using convenience sampling of adult women with endometriosis-related pain. Three questionnaires were utilized: a demographic and general health questionnaire, a visual analog pain scale (VAS), and the short-form McGill pain questionnaire (SF-MPQ). Participants included 93 women with a mean general pain level of 6.2/10 (SD = 2.7) on the VAS. The total mean pain score on the SF-MPQ was 26.25/45 (SD = 10.1). Sixty-four women (68.8%) reported experiencing pain at the time of completion of the questionnaire (mean: 1.6/4, SD = 1.3). All participants utilized analgesia; those who used opioids reported a higher overall mean pain score of 2.3 (SD = 1.3) than patients who did not use opioids reported a mean of 1.4 (SD = 1.2; z = 9.59; P < .001). Present pain intensity was significantly higher for women using opioids than those not using opioids. In all, 77 women (82.8%) used integrative methods to alleviate the pain symptoms. Women who utilized nutritional therapy as part of the non-pharmacological method experienced lower mean (SD) overall pain (4.4 [2.5]) compared with patients who did not utilize nutritional therapy (6.75 [2.5]; P < .01). More studies are needed to find evidence-based treatment options for women for integrative pain relief for endometriosis-related pain.

Abstract C010: Integrating germline and somatic data to resolve variants of uncertain significance (VUS) in colorectal cancer (CRC) patients who self-identified as Hispanic/Latino

Abstract Germline and somatic genetic testing have become cornerstones for assessing patient risk and tailoring cancer treatment, respectively, relying on the ability to distinguish pathogenic from benign variants. Typically, clinical reporting from these tests is conducted independently, serving distinct clinical objectives and audiences. However, integrating the underlying genomic data from both germline and somatic tests can enhance interpretative clarity, particularly in resolving variants of unknown significance (VUS) that lack sufficient evidence to determine pathogenicity. This ambiguity is especially problematic for non-White populations and those of non-European ancestry, where VUSs are disproportionately found, thereby limiting the scope of precision medicine and perpetuating health disparities. To assess the potential utility of an integrated model, we examined a prospective cohort of 88 self-identified Hispanic patients with colorectal cancer (CRC), performing both germline and somatic genomic analyses. We found that at least one germline VUS was identified in 44% (39/88) of participants, compared to a frequently reported rate of below 15%. By integrating tumor transcriptome data, mutational signatures, and copy number variations with traditional germline testing, we aimed to clarify VUSs and identify driver mutations. Integrating data modalities of the tumor transcriptome, mutational signatures, and copy number variations alongside traditional germline testing can help clarify VUSs and identify driver mutations. We constructed a model whereby the assessment of VUSs was based on the putative functional impact on either the DNA mutational patterns or allelic expression observed in tumor RNA. Using our integrated model, we deemed the oncogene AXIN2 VUS of one participant was likely biologically significant due to mutant-allele specific expression observed in the tumor RNA. Furthermore, we showed that 26% (10/39) of participants harbored a VUS that was very likely benign based on the tumor mutational profile and RNA expression. These included variants associated with homologous recombination in PALB2 and BRCA2 as well as genes associated with DNA repair like MLH1, PMS2, POLE and POLD1. Among patients with VUSs in genes associated with homologous recombination deficiency (HRD), none exhibited HRD via copy number analyses. Conversely, of the six patients that did exhibit HRD, only one had a pathogenic variant in a gene associated with HRD (ATM). Additionally, we identified tumors with a DNA mismatch repair deficiency phenotype (high tumor mutational burden, high microsatellite instability, DNA mismatch repair deficiency mutational signature) but without a pathogenic variant in a Lynch syndrome-associated gene. Methylation analysis revealed hypermethylation of the MLH1 promoter in these cases, explaining the tumor phenotype. This finding indicates that our integrative method can accurately predict DNA mismatch repair deficiency even without a genetic alteration in a DNA mismatch repair gene. Citation Format: Jonathan Amzaleg, Julie O. Culve, Charité N. Ricker, Natalia Gutierrez, Yuxin Jin, Brigette Waldrup, Carmen Chaves, Lucia Enriquez, Joel Sanchez-Mendez, Daisy Hernandez, Bodour Salhia, Lourdes Baezconde-Garbanati, Mariana C. Stern, Enrique Velazquez Villarreal, John D. Carpten, Heinz-Joseph Lenz, David W. Craig. Integrating germline and somatic data to resolve variants of uncertain significance (VUS) in colorectal cancer (CRC) patients who self-identified as Hispanic/Latino [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C010.

A study combining experimental, computationaland machine learning approaches on the removal of tartrazine dye using carbon nanotubes

This study addresses the environmental threat posed by synthetic hazardous dyes, particularly tartrazine, in water bodies. We present an integrated method for the effective removal of tartrazine using Multiwalled Carbon Nanotubes (MWCNTs) synthesized via Chemical Vapor Deposition. Extensive characterization confirms MWCNTs as highly efficient adsorbents, with batch adsorption studies demonstrating their remarkable ability to remove 98.39% of tartrazine from water within 60 min at room temperature and pH 6. Density Functional Theory calculations provide molecular insights into the adsorption process, identifying six interaction possibilities and the most reactive site on tartrazine. Additionally, Machine Learning and Deep Learning models offer cost-effective predictive tools for efficient dye removal, with the deep learning model (ANN) proving most effective. This interdisciplinary approach marks a significant advancement in water treatment and environmental remediation, with future research focusing on scaling MWCNT synthesis and exploring diverse practical applications.

Vibration suppression in SDOF systems coupled to a nonlinear energy sink under colored noise

This study analyzes the stochastic vibration suppression and optimization of the single-degree-of-freedom (SDOF) system equipped with the cubic stiffness nonlinear energy sink (NES) under colored noise excitation. Two theoretical methods are proposed: an integrated method (denoted as EL-ELM) that combines evolutionary Lyapunov theory with the equivalent linearization method, and the other is an empirical formula. Using EL-ELM, the coupled nonlinear system is simplified to an equivalent linear stochastic system, allowing for a theoretical analysis of the impact of NES structural parameters on suppression performance and the precise determination of optimal parameter configurations for the best suppression effects. Subsequently, based on the results from the EL-ELM and the response data, an empirical formula has been developed that clearly describes the comprehensive laws governing the optimal NES parameters as they vary with vibration system parameters and stochastic excitation. Through error analysis and comparison of the two methods, it is found that the empirical formula significantly outperforms EL-ELM in terms of accuracy and computational cost, but it is contingent on solid prior knowledge. This study explores the influence of NES structural parameters on the system’s dynamic response and energy, further validating the effectiveness of the proposed methods in identifying optimal structural parameters. The phenomenon of targeted energy transfer (TET) under different NES structural parameters is also explained. The methodologies introduced in this study have strengthened the theory of vibration suppression. Specifically, the empirical formula excels in accuracy and computational efficiency by effectively using prior knowledge. The EL-ELM method, owing to its theoretical insights, is vital for analyzing complex stochastic nonlinear models. Combining these approaches offers guidance for advancing vibration control in theoretical and practical domains.

Statistics of Matrix Elements of Local Operators in Integrable Models

We study the statistics of matrix elements of local operators in the basis of energy eigenstates in a paradigmatic, integrable, many-particle quantum theory, the Lieb-Liniger model of bosons with repulsive delta-function interactions. Using methods of quantum integrability, we determine the scaling of matrix elements with system size. As a consequence of the extensive number of conservation laws, the structure of matrix elements is fundamentally different from, and much more intricate than, the predictions of the eigenstate thermalization hypothesis for generic models. We uncover an interesting connection between this structure for local operators in interacting integrable models and the one for local operators that are not local with respect to the elementary excitations in free theories. We find that typical off-diagonal matrix elements ⟨μ|O|λ⟩ in the same macrostate scale as exp(−cOLln(L)−LMμ,λO), where the probability distribution function for Mμ,λO is well described by Fréchet distributions and cO depends only on macrostate information. In contrast, typical off-diagonal matrix elements between two different macrostates scale as exp(−dOL2), where dO depends only on macrostate information. Diagonal matrix elements depend only on macrostate information up to finite-size corrections. Published by the American Physical Society 2024

Teaching Innovation and Teaching–Learning Methods for Sustainable Tourism Development Education in the Bachelor of Tourism Degree

Sustainable development has become the aspiration of many developing countries like Ecuador. The introduction of Bachelor of Tourism studies at the Technical University of Manabí is compatible with this interest and provides a challenge for teachers in the application of integrative and innovative teaching methods, which promote the training of professionals with high scientific, technical and professional rigor in the exercise of different professions. To achieve this, the pedagogical group started from three fundamental principles, which are based on the application of teaching work methods and procedures, based on the establishment of the interaction between the various factors that directly and indirectly influence the training process of professionals in the tourism sector. The results, both in the comprehensive evaluation processes of the academic performance of the teachers and in the level of satisfaction of the students of the course, support the application of these teaching–learning methods and highlight the convenience of extending these experiences and research results to other vocational training centers for tourism activity.

Experimental and numerical studies on prestressed concrete box girders strengthened with PVA-ECC and external prestressing

To improve the shear capacity and repair shear cracks in prestressed concrete box girders, a novel strengthening method utilizing Polyvinyl Alcohol-Engineered Cementitious Composite (PVA-ECC) was proposed and studied. The integrated method consisted of section enlargement with PVA-ECC and decentralized prestressing using prestressed steel strands, which were embedded in the PVA-ECC after being prestressed and bonded. Field investigations were conducted to study and evaluate the effectiveness of this method under random traffic loads using health monitoring systems. Additionally, based on engineering practices, three finite element models (unreinforced box girder, box girder with strengthened side web only, and box girder with strengthened entire web) representing different construction sequences were established to investigate changes in shear behavior before and after strengthening. Finite element analyses were conducted under various loading conditions, and the results showed that the stress response of the webs decreased by approximately 30–40 % after strengthening. Additionally, the deflection of the top slab decreased by approximately 25–35 %. The results from monitoring data and finite element analyses demonstrated that the proposed strengthening method effectively enhanced the shear performance of the box girder webs. This research can provide a reference for strengthening and evaluating existing prestressed concrete box girders.

A Geophysical-Drilling-Hydrochemical Coupled Method for Accurate Detection of Concealed Water-Conducting Faults in Coal Mines

The detection of concealed water-conducting structures is essential for preventing water inrush disasters. Aiming to mitigate the limitations inherent in using any single technique, a comprehensive approach that combines integrated mining geophysical exploration, hydrogeological drilling, and hydrochemical exploration (GDH) is proposed for the exploration of concealed water-conducting structures. By conducting a thorough analysis of the background geological data obtained through surface exploration, potentially concealed water-conducting structures can be predicted. Then, a combination of the seismic reflection method (SRM) and mine transient electromagnetic method (MTEM) can be used to detect the location and water-bearing properties of the target structures. Afterwards, the target drilling areas are defined by the anomalies detected by the integrated mine geophysical technique, and the drilling method can directly acquire the hydrogeological information of water-conducting structures and verify the results of the geophysical methods. By means of hydrochemical analysis, inrush water sources and their runoff conditions can be identified, and the spatial relationship betweenof the source aquifers and mining space can be determined; hence, the properties, scale, and configuration of the water-conducting structures can finally be evaluated. Employing a water-conducting fault in a mine as a case study, we verified that the integrated method overcomes the limitations and possible biases of each method, providing a multiple-method solution that can accurately detect concealed water-conducting structures to help prevent water inrush disasters.

The use of mobile technology in higher education: implications for students and instructors

Mobile learning has become a prominent topic in educational settings today due to its significant developments in information and communication technology (ICT). This flexibility not only benefits student-teachers who can learn at their own pace and convenience but also empowers instructors to engage with their student-teachers more dynamically. Literature indicates that mobile learning encourages collaboration and active participation, fostering critical thinking skills and creating a more engaging learning experience. Despite the many advantages of integrating technology into the classroom, research indicates that most faculties higher education are resistant to incorporating technology into their activities since there are no institutional norms. The study aims at evaluating the use of mobile learning in higher education in Lesotho and the implications it has on both instructors and student-teachers when using mobile learning. The study adopted a systematic literature review to review the available research using an integrative method of studies conducted on mobile learning in higher education between 2013 and 2023. The study found that some instructors ban the use of mobile devices because they distract from teaching and learning. In addition, not all devices can handle the demands of remote learning. Student-teachers believe that mobile technology enhances communication with peers and instructors. Among other factors, limited Internet connectivity and funding are the most common inhibiting factors for instructors to adopt technology into the teaching and learning process. Other inhibiting factors are the high costs of mobile data access and smart mobile devices. The study recommends that ICT policy must be in place to manage and control mobile learning for effective adoption.

The best fit for your audience: using integrated evaluation methods for data collection at informal science events

ABSTRACT Carefully designed evaluations of informal science events are key to gaining insights into their efficacy and impact on audiences. However, traditional approaches to evaluation, such as interviews and questionnaires, can be disruptive to the audience experience of science events. There is therefore a need to develop and implement new evaluation methods that match the dynamic and transient contexts of informal science events, and that are integrated into the experience of the event. In this article, we outline the development and implementation of a set of novel integrated evaluation methods used to evaluate performances of Lines of Best Fit, a science-themed improvised comedy show founded in Sydney, Australia. We outline the methods used to collect both quantitative and qualitative data from audiences at these events and provide reflections on the benefits and limitations of this approach based on our experiences of implementation across nine performances in different venues.