Qualitative Assessment Research Articles

Isotropic Brain MRI Reconstruction from Orthogonal Scans Using 3D Convolutional Neural Network.

As an alternative to true isotropic 3D imaging, image super-resolution (SR) has been applied to reconstruct an isotropic 3D volume from multiple anisotropic scans. However, traditional SR methods struggle with inadequate performance, prolonged processing times, and the necessity for manual feature extraction. Motivated by the exceptional representational ability and automatic feature extraction of convolutional neural networks (CNNs), in this work, we present an end-to-end isotropic MRI reconstruction strategy based on deep learning. The proposed method is based on 3D convolutional neural networks (3D CNNs), which can effectively capture the 3D structural features of MRI volumes and accurately predict potential structure. In addition, the proposed method takes multiple orthogonal scans as input and thus enables the model to use more complementary information from different dimensions for precise inference. Experimental results show that the proposed algorithm achieves promising performance in terms of both quantitative and qualitative assessments. In addition, it can process a 3D volume with a size of 256 × 256 × 256 in less than 1 min with the support of an NVIDIA GeForce GTX 1080Ti GPU, which suggests that it is not only a quantitatively superior method but also a practical one.

Privacy-Preserving Visualization of Brain Functional Connectivity.

Privacy protection is important in visualization due to the risk of leaking personal sensitive information. In this paper, we study the problem of privacy-preserving visualizations using differential privacy, employing biomedical data from neuroimaging as a use case. We investigate several approaches based on perturbing correlation values and characterize their privacy cost and the impact of pre- and post-processing. To obtain a better privacy/visual utility tradeoff, we propose workflows for connectogram and seed-based connectivity visualizations, respectively. These workflows successfully generate visualizations similar to their non-private counterparts. Experiments show that qualitative assessments can be preserved while guaranteeing privacy. These results show that differential privacy is a promising method for protecting sensitive information in data visualization.

Experiences of Intensive Care Unit Patients as They Transition to the Ward: A Thematic Synthesis.

During the transfer of intensive care unit (ICU) patients to general wards, patients often experience transfer anxiety due to changes in the healthcare environment, staff and unfamiliarity with the new ward. However, the experiences of ICU patients during this transition period have received less attention. A systematic review and synthesis of the experiences of patients transitioning from the ICU to the ward. Thematic synthesis of qualitative studies. We searched the PubMed, Embase, CINAHL and Web of Science databases for qualitative research on the transition-to-ward experience of patients in ICUs for the year 2023 February. The quality of the literature was evaluated according to the qualitative research quality assessment criteria of the Joanna Briggs Institute, as outlined by the Australian Centre for Evidence-Based Healthcare. The data were then extracted from the studies, analysed and synthesised using a thematic synthesis approach. A total of 12 papers were included and the 32 findings were distilled and consolidated into three themes: emotional reactions; imperfections in the transition process; differences between wards and ICUs; and eight sub-themes: optimism; pessimism; emotionlessness; inadequate information; inadequate communication; physical condition; differences in care; differences in environment. The transfer from an ICU to a general ward is a major change of environment for the patient and can trigger upset and anxiety. Planning for turn-out, meeting patients' information needs and easing patients' emotions are critical in this process.

Suicide prevention safety planning in the US Department of defense: Qualitative assessment of training.

Suicide rates in the military are a significant public health concern. The suicide prevention safety planning intervention is a brief and effective intervention in which a provider and patient work collaboratively to recognize warning signs of a suicidal crisis and create a defined list of coping strategies and supports for use during future crises (Stanley & Brown, 2012). Implementation of safety planning has been supported by the Department of Defense (DoD), yet readily available training and continuing education for healthcare providers in this intervention is limited and passive in nature. Existing safety planning training experiences and needs of DoD behavioral health providers are unknown. The present study is an exploratory qualitative assessment of current safety planning in DoD to inform the design and development of an interactive virtual standardized training patient. Ten military behavioral health providers completed semi-structured interviews. Thematic content analysis was conducted, and three themes are described in this paper: variety of training received, barriers to receiving suicide safety planning training, and desires for future training. Lack of protected time for training and a lack of access to training resources were identified as key barriers. Rich data obtained can help inform the key design features and relevance of new safety planning intervention training approaches.

MWRD (Mamba Wavelet Reverse Diffusion)—An Efficient Fundus Image Enhancement Network Based on an Improved State-Space Model

This study introduces an efficient fundus image enhancement framework based on an improved Mamba model and the Denoising Diffusion Probabilistic Model (DDPM). By integrating wavelet transform for local feature extraction and applying a reverse diffusion process, this approach significantly improves the effectiveness and efficiency of enhancing low-quality fundus images. The model achieves high-precision enhancement of retinal vessel details while substantially reducing the number of parameters. Comprehensive tests on publicly available datasets show that the suggested approach surpasses various advanced low-light image enhancement methods in both quantitative and qualitative assessments.

DEEP LEARNING APPROACH FOR ASPECT CATEGORY DETECTION: A BIBLIOMETRIC ANALYSIS

This article presents a quantitative and qualitative assessment of current research trends by conducting a bibliometric analysis of the sentiment analysis literature from 2020 to March 2024 using the Scopus database. Our focus is on the review of scientific documents, the arrangement of subject categories, the research trend in aspect category detection, the top 10 scholars that write the most number articles in aspect category detection and keyword trends. Our research shows that specialists in computer science, engineering, mathematics, medicine, decision science, material science, social sciences, business and management accounting, energy, and health are the most common topic groups in this industry. A study of keywords shows that terms like “BERT” and “deep learning” are frequently used together. This highlights the use of sophisticated models like BERT in this field and suggests a tendency to use innovative architecture to achieve better results. Conversely, although terms such as “sentiment analysis” and “aspect-based sentiment analysis” have modest frequency, their link strengths indicate a significant correlation with the main theme, emphasising the relationship between aspect category detection and sentiment analysis in research projects. we also provide the deep-learning technique used by the author for aspect category detection.

Computed tomography perfusion as a predictor of gastric cancer grades

BackgroundGastric cancer stands as one of the most prevalent malignancies globally, conventional endoscopic specimens have been the primary means of diagnosing preoperative gastric histopathology, however, their limitations in capturing intra-tumor heterogeneity compromise their efficacy in evaluating angiogenesis. Perfusion Computed Tomography (P-CT) emerges as a pivotal functional imaging modality, facilitating objective assessment of tissue perfusion, serving as a marker of angiogenesis. So, our research objective was to evaluate the efficacy of CT perfusion imaging in the prediction of histological grades of gastric tumors using quantitative perfusion parameters such as permeability surface (PS), blood flow (BF), mean transient time (MTT), and blood volume (BV), in addition to the qualitative scoring system then comparing the findings with the histopathological results.ResultsPS and BF were statistically significant predictors of the grade of differentiation, their odds ratio (OR) was (1.05, 95% CI 1.02–1.09, for each of them) (P = 0.004, P = 0.009, respectively). MTT also emerged as a significant predictor of the grade of differentiation with an OR of 0.76 (95% CI 0.57–0.93, P = 0.025). Using multivariate logistic regression model, PS was the most potent individual P-CT predictor of differentiation of the grade and the diagnosis of poorly differentiated tumors at ≥ 39 mL/100 g/min cut off point, followed by BF at ≥ 82.2 mL/100 g/min, and MTT at < 8.4 s. Regarding the qualitative scoring system P-CT, poorly differentiated tumors generally received higher scores of PS (P < 0.001), BF (P < 0.001), and BV (P = 0.017), than well and moderately differentiated tumors, however, MTT showed that poorly differentiated tumors were more frequently scored as low compared to well and moderately differentiated tumors (P < 0.001).ConclusionsP-CT is an innovative, non-invasive biomarker for predicting gastric cancer grade by quantitative and qualitative assessment by P-CT parameters (PS, BF and MTT) with particular role of PS as the strongest individual P-CT predictor of differentiation grade followed by BF and MTT at specific cut off points.

Correlation Between Quantitative Cage Pressure Measurements and Surgeons' Qualitative Tactile Assessments During Extraction in Lumbar Lateral Interbody Fusion: A Cadaveric Study.

A cadaveric study. Measuring the pressure exerted on lumbar lateral interbody fusion (LLIF) cages and examining its correlation with qualitative assessment of tactile feedback related to pullout strength during cage extraction to determine the optimal cage height. No data exists on the relationship between the surgeon's tactile feedback related to pullout strength during the LLIF cage extraction and the cage pressures measured during surgery. We used four cadavers to insert the original stress-measuring cages at the L2/3 to L4/5 levels (12 intervertebral spaces) using the oblique lumbar lateral approach. The intervertebral disc height (IDH) was measured before cage insertion. These stainless-steel stress-measuring cages were designed with the same shape as standard cages and included a built-in load cell to measure the stress applied. The cage heights were set at 8, 10, and 12 mm and they were inserted sequentially from 8mm, with stress measurements taken at each step. Four spine surgeons qualitatively evaluated the extraction strength using three rating categories ("loose," "appropriate," and "hard to extract"). After cage removal, endplate damage (ED) and anterior longitudinal ligament injury (ALLI) were checked. The anterior part of the vertebral body was dissected to expose the ALL and it is checked for obvious injuries. Additionally, a surgical probe is used to check for ED and ALLI. The measured cage pressures were 45, 120, and 191 N for the "loose," "appropriate," and "hard to extract" ratings, respectively (P < 0.001). ED was observed in five intervertebral spaces, whereas no ALLI was noted. The average maximum pressure when ED occurred was 127 N. The primary risk factor for ED was identified as the difference between the height of the inserted cage and IDH, with a cut-off value of 4.5mm. The appropriate extraction strength corresponded to a cage pressure of 120 N. A cage pressure ≥127 N posed a risk for ED. ED incidence was high when the difference between the IDH and the height of the inserted cage exceeded 4.5mm. Level Three.

Intervention for the Management of Neuropsychiatric Symptoms to Reduce Caregiver Stress: Protocol for the Mindful and Self-Compassion Care Intervention for Caregivers of Persons Living With Dementia.

Stress related to Alzheimer disease and related dementias (ADRD) is common, particularly among those who care for persons with challenging behaviors and personality or mood changes. Mindfulness and self-compassion programs are efficacious for managing stress. The skills of mindfulness and self-compassion, however, must be integrated with behavioral management skills in order to effectively improve caregiver stress. In this study, we aimed to describe the development of the Mindful and Self-Compassionate Care (MASC) program, the first program that combines mindfulness and self-compassion with behavioral management skills to decrease caregiver stress, and its evaluation in the Supporting Our Caregivers in ADRD Learning (SOCIAL) study. Using the National Institutes of Health (NIH) stage model, we describe 3 phases of work encompassing NIH Stages 1A and 1B. In phase 1, we conducted 5 focus groups (N=28) of stressed individuals caring for persons with ADRD and challenging behaviors. Rapid data analysis informed the development of a 6-week online intervention. Phase 2 (NIH stage 1A) includes an open pilot (N>10) with optional exit interviews. Phase 3 (NIH stage 1B) is a feasibility randomized controlled trial of the intervention versus the Health Education Program control. Primary outcomes focus on feasibility with secondary outcomes encompassing acceptability, credibility, fidelity, and signals of preliminary efficacy. Phase 1 follows traditional recommendations for qualitative analyses (at the point of thematic saturation) which was achieved after 5 focus groups (N=28). For the phase 2 open pilot, up to 12 participants will be recruited. For the phase 3 feasibility study, recruitment of 80 caregivers will allow the assessment of feasibility benchmarks. Data for phase 1 included 5 focus groups. In phases 2 and 3, data collection will occur through REDCap (Research Electronic Data Capture; Vanderbilt University) surveys and an optional qualitative exit interview. Analyses will include hybrid inductive-deductive analyses for qualitative data and assessment of changes in our intervention targets and outcomes using t tests and correlation analyses. In phase 1, caregivers reported interest in a brief, online stress management program. Participants held misconceptions about mindfulness and self-compassion, but after detailed explanation thoughts, these skills could be helpful when directly linked to implementation during caregiving routines. Phases 2 and 3 will be completed by the end of 2025. We describe the protocol for the Supporting Our Caregivers in ADRD Learning study, as well as the development and feasibility testing of the Mindful and Self-Compassionate Care intervention. Future work will include a fully powered efficacy-effectiveness randomized controlled trial. ClinicalTrials NCT05847153; https://clinicaltrials.gov/study/NCT05847153; and ClinicalTrials.gov NCT06276023; https://clinicaltrials.gov/study/NCT06276023. DERR1-10.2196/58356.

Investigation of the Reproducibility of Portable Optical Coherence Tomography in Diabetic Macular Edema

Background: Diabetic macular edema (DME) causes vision impairment and significant vision loss. Portable optical coherence tomography (OCT) has the potential to enhance the accessibility and frequency of DME screening, facilitating early diagnosis and continuous monitoring. This study aimed to evaluate the reliability of a portable OCT device (ACT100) in assessing DME compared with a traditional stationary OCT device (Cirrus 5000 HD-OCT plus). Methods: This prospective clinical investigation included 40 eyes of 33 patients with DME. Participants with significant refractive errors (myopia &gt; −6.0 diopters or hyperopia &gt; +3.0 diopters), vitreous hemorrhage, tractional retinal detachment, or other ocular diseases affecting imaging were excluded. Spectral-domain OCT was performed by a single examiner using both devices to capture macular volume scans under mydriasis. Central macular thickness (CMT) was evaluated using the analysis software for each device: Cirrus used version 6.0.4, and ACT100 used version V20. We analyzed inter-evaluator and inter-instrument agreements for qualitative assessments of the intraretinal fluid (IRF), subretinal fluid (SRF), and epiretinal membrane (ERM) using Cohen’s kappa coefficient, whereas quantitative CMT assessments were correlated using Spearman’s correlation coefficient. Results: Substantial inter-evaluator agreement for IRF/SRF (κ = 0.801) and ERM (κ = 0.688) with ACT100 and inter-instrument agreement (κ = 0.756 for IRF/SRF, κ = 0.684 for ERM) were observed. CMT values measured using ACT100 were on average 29.6 μm lower than that of Cirrus (285.8 ± 56.6 vs. 315.4 ± 84.7 μm, p &lt; 0.0001) but showed a strong correlation (R = 0.76, p &lt; 0.0001). Conclusions: ACT100 portable OCT demonstrated high reliability for DME evaluations, comparable to that of stationary systems.

Perfusion computer tomography of the kidneys. Research technique. Perfusion indicators in the norm: case-control

INTRODUCTION: Perfusion computed tomography (PCT) is a contrast research technique that allows one to assess blood flow in the cortical and medulla layers of the renal parenchyma at the level of the microcirculatory bed, the influence of additional renal vessels and stenoses of the renal arteries on hemodynamics in the renal parenchyma.OBJECTIVE: To optimize the technique of perfusion computed tomography of the kidneys. Determine the most informative indicators of perfusion in the renal parenchyma in the norm. Assess the relationship between perfusion parameters and the number of renal vessels, the presence of renal artery stenosis.MATERIALS AND METHODS: PCT was performed in 46 patients with no anamnestic and clinical laboratory data on kidney disease who were undergoing examination for other pathological conditions, including 35 patients aged from 20 to 90 years (average age — 63.1 years) without hemodynamically significant stenosis and 11 patients aged from 64 to 94 years (mean age 80.3 years) with renal artery stenosis of 50% or higher. Perfusion indices were calculated using maximum slope and deconvolution algorithms, kinetic curves were plotted on a time-density graph, and color parametric maps.RESULTS: A quantitative assessment of perfusion parameters in the cortical and medulla of the kidneys, a qualitative analysis of the state of its parenchyma on color parametric maps, and the shapes of kinetic curves on the time-density graph were analyzed. Changes in perfusion parameters were established depending on the age, number and condition of the renal vessels.DISCUSSION: In the renal cortical layer, there was a predominance of indicators of blood flow velocity (BF), blood flow volume (BV), the rate of increase in the density of the contrast agent (CM) in the tissue (MSI), capillary wall permeability (PS) and lower values of the average transit time of the contrast agent (MTT) and the time to reach the maximum contrast agent density in the tissue (TTP) in comparison with the medulla. On the color parametric maps BF, BV, MSI, the cortical layer was characterized by intense red coloring, the medulla — yellow-green, on the TTP map green and blue coloring of the layers was determined, respectively. In elderly patients, there was a decrease in BF, BV with a concomitant lengthening of TTP in the cortical layer without changes in coloring on color parametric maps. On the density-time graph, the kinetic curve of the cortical layer was characterized by the appearance of a peak 10 seconds after the onset of the peak value in the abdominal aorta with further continuation of the curve in the form of a plateau; the kinetic curve of the medulla was characterized by a gradual moderate rise in the curve from 15 seconds after the start of scanning without the formation of peaks values.CONCLUSION: PCT is an informative method for quantitative and qualitative assessment of perfusion in the renal parenchyma.

Navigating complex riskscapes: the Koudiet Eddraouch GIS substation project in Sub-Saharan Africa

Learning outcomes Risk identification and qualitative assessment are the learning outcomes. Case overview/synopsis The Bharat Bijlee Construction Limited (BBCL) was one of the largest construction companies operating in the power sector in India. After successfully completing a few projects in the Middle East, BBCL decided to expand its presence into African region. The BBCL was awarded a $85m contract for three sub-station projects to modernise Algeria’s power grid system by the “Shariket Karhaba Koudiet Eddraouch Spa”, a state-owned company in charge of power generation, transmission and distribution in Algeria. The project, which is the first of BBCL in Saharan region in Algeria’s, presents many unique situations that company had never encountered before, including sand dunes, severe weather, remote locations, supply chain &amp; logistics, strict contractual deadlines and a high level of construction risk. The project manager for BBCL was sceptic about how well his company would perform under the present project circumstances. How could he better align himself with the client, the various on-site local contractors and the numerous suppliers spread around the world? The case emphasises the identification of various project risks that the project manager might encounter in the project. What do the PESTLE and ASCE frameworks for risk identification each represent, and how are they helpful for the project team in understanding various risks? How should the project’s qualitative risk assessment be conducted? And how can a heat map be a better tool for comprehending the criticality of each risk in the project? Complexity academic level Undergraduate and post graduate courses in project management, civil engineering and architecture domain. Supplementary material Teaching notes are available for educators only. Subject code CSS 2: Built Environment.

Use of telemedicine for trauma care since the Russian invasion of Ukraine: A qualitative assessment.

Ukraine's health and trauma system has been detrimentally impacted since the start of the Russian invasion in February 2022. Use of telemedicine became critical to providing timely medical care. As such, the aim of this study was to describe telemedicine's use in the health and trauma system of Ukraine following the full-scale invasion. We conducted qualitative key informant interviews with military and civilian health care workers using an expanded version of the Global Trauma System Evaluation Tool which had components focusing on telemedicine use. Thematic content analysis was used to derive key telemedicine themes from interviews. We conducted 36 key informant interviews. Most respondents described using telemedicine through informal means of communication such as messaging apps to meet patient care needs. Concerns and challenges with use of telemedicine included weapons targeting, internet connections and safety of communications from Russian hackers. A unified system for telemedicine would greatly improve use in country both during and post conflict. Telemedicine use has rapidly increased in Ukraine during the current conflict particularly in the scope of providing trauma care when numerous specialties are needed. Development of a unified, secure telemedicine system with mechanisms for integrating multinational medical support would aid in providing swift medical care to persons injured in the conflict or unable to access a specialty provider in their proximity.

The women's cardiovascular disease risk perception after hypertensive disorders of pregnancy: A qualitative meta-synthesis

BackgroundHypertensive disorders of pregnancy is associated with increased risk of cardiovascular disease later in life, but studies suggest that women with previous hypertensive disorders of pregnancy are not aware of this. Little is known about how these women perceive the condition and the associated long-term risks. ObjectivesThis study aims to examine and synthesize qualitative evidence on the perceptions and awareness of women with hypertensive disorders of pregnancy following perceived cardiovascular disease risk. MethodsComputer searches of Pub Med, Embase, Web of Science, Cochrane Library, CINAHL, CNKI, Wanfang database, Vip and SinoMed for all qualitative studies that met the inclusion criteria. The time frame for the search was from the establishment of the database to April 2024. Literature quality was assessed using the Australian Joanna Briggs Institute Centre for Evidence-Based Health Care Qualitative Research quality assessment criteria, and results were summarised and integrated using a pooled integration approach. ResultsEleven studies that fulfilled the inclusion criteria and quality assessment were included in the meta synthesis. Three themes were identified during the analysis: (1)Factors affecting perceived cardiovascular risk in women with hypertensive disorders of pregnancy; (2)Women with hypertensive disorders of pregnancy use different strategies to cope with cardiovascular risk; (3)Needs and expectations for coping with cardiovascular disease risk. ConclusionsBoth women with hypertensive disorders of pregnancy and healthcare providers lack knowledge of the link between hypertensive disorders of pregnancy and cardiovascular risk. Healthcare professionals should establish a multidimensional support model, pay timely attention to postpartum women's psycho-emotional and risk awareness, and give individualised health education to promote health behaviour change. At the same time, professionals should be given standardised training and personalised follow-up services to reduce the incidence of cardiovascular disease in the future.

Оценка качества образовательной среды в детском саду для детей с РАС: методика ECERS-R

&lt;p style="text-align: justify;"&gt;&lt;strong&gt;Objectives. &lt;/strong&gt;When providing comprehensive support for children with autism spectrum disorders (ASD), it is necessary to create a special educational environment. A study was conducted on the quality of the educational environment of a preschool educational organization for children with ASD using the Early Childhood Environmental Assessment Scale (ECERS-R) tool, which was originally designed to assess the environment in preschools for typically developing children.&lt;/p&gt; &lt;p style="text-align: justify;"&gt;&lt;strong&gt;Methods.&amp;nbsp;&lt;/strong&gt;The ECERS-R diagnostic methodology evaluates the main components of the educational environment in a preschool organization across seven areas: Space and Furnishings; Personal Care Routines; Language &amp;mdash; Reasoning; Activitie; Interaction; Program Structure; Parents and Staff. In 10 groups of children aged 2 to 8 years of special kindergarten for children with ASD &amp;ldquo;WE ARE TOGETHER&amp;rdquo;, quality monitoring of the preschool&amp;rsquo;s work was carried out by both external and internal (staff) experts.&lt;/p&gt; &lt;p style="text-align: justify;"&gt;&lt;strong&gt;Results.&amp;nbsp;&lt;/strong&gt;The strongest aspects of the kindergarten&amp;rsquo;s educational environment for children with ASD were identified as &amp;ldquo;Staff-Child Interaction&amp;rdquo; and &amp;ldquo;Program Structure&amp;rdquo;. Lower scores were obtained in the areas of &amp;ldquo;Language &amp;mdash; Reasoning&amp;rdquo; and &amp;ldquo;Activities&amp;rdquo;. The &amp;ldquo;Space and Furnishings&amp;rdquo; was rated similarly by both external and internal experts (4.5 points), which indirectly indicates the objectivity of the expert assessment. Internal experts rated their own performance in caring for children with ASD lower, at 3.4 points, while external experts rated the difficulty of caring for children with ASD slightly higher, at 3.6 points.&lt;/p&gt; &lt;p style="text-align: justify;"&gt;&lt;strong&gt;Conclusions.&amp;nbsp;&lt;/strong&gt;In general, kindergarten staff, who work with children in this educational environment on a daily basis, rated its quality significantly higher than external experts. This discrepancy is likely due to the specific nature of the educational environment for children with ASD, as well as the individual characteristics of the children themselves. For a qualitative assessment of the educational environment using ECERS-R in a kindergarten with a special focus, the tool needs to be adapted to better meet the special educational needs of the children. Adding subscales for different conditions seems feasible.&lt;/p&gt;

Editorial Comment on “…I Wish Someone Told Me About That…”: A Qualitative Assessment of the Educational Needs of Patients Undergoing Cystectomy

Editorial Comment on “…I Wish Someone Told Me About That…”: A Qualitative Assessment of the Educational Needs of Patients Undergoing Cystectomy

Standardized A-echography in the diagnostics of eye diseases

The development and the improvement of new imaging methods are current trends in ophthalmology. The literature review is devoted to the use of standardized A-echography in the diagnostics of ocular pathology. The history of the development of this method, the basic principles of obtaining A-sonograms, the features of the qualitative and quantitative assessments of pathological changes in the structures of the eye based on echographic data are presented. Standardized A-echography is most widely used in the diagnostics of vitreoretinal pathology, intraocular mass (choroidal melanoma, choroidal hemangioma, non-tumor formations) and assessment of orbital structures (optic nerve, extraocular muscles, orbital tumors).

A Comparative Study for Evaluating the Groundwater Inflow and Drainage Effect of Jinzhai Pumped Storage Power Station, China

Various hydrogeological problems like groundwater inflow, water table drawdown, and water pressure redistribution may be encountered in the construction of hydraulic projects. How to accurately predict the occurrence of groundwater inflow and assess the drainage effect during construction are still challenging problems for engineering designers. Taking the Jinzhai pumped storage power station (JPSPS) of China as an example, this paper aims to use different methods to calculate the water inflow rates of an underground powerhouse and evaluate the drainage effect caused by tunnel inflow during construction. The methods consist of the analytical formulas, the site groundwater rating (SGR) method, and the Signorini type variational inequality formulation. The results show that the analytical methods considering stable water table may overestimate the water inflow rates of caverns in drained conditions, whereas the SGR method with available hydro-geological parameters obtains a qualitative hazard assessment in the preliminary phase. The numerical solutions provide more precise and reliable values of groundwater inflow considering complex geological structures and seepage control measures. Moreover, the drainage effects, including a seepage-free surface, pore water pressure redistribution, and hydraulic gradient, have been accurately evaluated using various numerical synthetic cases. Specifically, the faults intersecting on underground caverns and drainage structures significantly change the groundwater flow regime around caverns. This comparative study can not only exactly identify the capabilities of the methods for cavern inflow in drained conditions, but also can comprehensively evaluate the drainage effect during cavern construction.

Hearing aid benefit in daily life: a qualitative ecological momentary assessment study

IntroductionUnderstanding hearing aid wearer experiences in real-world settings is important to provide responsive and individualized hearing care. This study aimed to describe real-life benefits of hearing aids (HAs), as reported by hearing aid wearers through Ecological Momentary Assessment (EMA) in various listening environments.MethodQualitative content analysis of 1,209 open-text responses, provided through self-initiated EMAs, was conducted. The de-identified data was collected retrospectively via a smartphone app compatible with these HAs. Only text responses reflecting positive hearing aid experiences were analyzed. The 1,209 open-text responses were categorized into 18 pre-determined sub-categories, further organized into five overarching categories: Conversational, Leisure, Device-related aspects, Lifestyle, and Other factors.ResultsAcross these categories, 48 self-generated meaning units highlighted the multifaceted benefits of HAs. In particular, participants reported significant improvements in conversational settings, specifically during phone conversations and meetings, attributed to improved sound quality and speech understanding when wearing their HAs. During leisure activities, particularly TV watching and music listening, clearer sound and ease of Bluetooth streaming contributed to experienced benefits. Lifestyle improvements were reported in occupational and social settings, as hearing aid wearers stated enhanced communication and sound awareness. Device-related factors contributing to positive wearer experiences included extended battery life and the convenience of rechargeable batteries. The most prominent sub-category, other factors, underscored overall satisfaction, comfort with the device, and improved auditory experiences across various environments.ConclusionThis study reveals the diverse benefits of HAs in improving communication, listening experiences, and quality of life across various settings, as captured through EMA. By emphasizing features like direct streaming and rechargeability, the findings highlight the importance of personalized hearing care and the potential of real-time listener feedback to inform device enhancements and support strategies, advancing more tailored and effective hearing rehabilitation.

Assessment and Modeling of Water Quality in the Niger River: A Comprehensive Study Using Water Quality Indices and Intelligent Techniques

The Niger River is essential to the livelihoods of those in Bamako and its neighboring areas, providing vital resources for drinking water, agriculture, livestock, industry, and fishing. Given its significance across these sectors, there is a pressing need to establish an effective water resource management strategy that incorporates a thorough qualitative assessment of the river's water quality. This research seeks to characterize the water quality of the Niger River by employing Water Quality Indices (WQI) and intelligent modeling techniques. To fulfil this objective, various physicochemical parameters, including pH, electrical conductivity (EC), nitrate (NO3-), nitrite (NO2-), and iron (Fe), were collected from 40 sampling points along the river during three distinct periods: December 2017, March 2018, and July 2018. The study utilized a weighted arithmetic approach to compute the WQIs, while the predictive models were developed using two of the most famous and effective modeling techniques namely Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN). In order to evaluate the predictive performance of the models, the dataset was partitioned into three distinct segments, allocating 60% for training purposes, 20% for validation, and the remaining 20% for testing, with the segments organized in a sequence from upstream to downstream. The performance of both models was evaluated using metrics such as the correlation coefficient (r²), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). The computed Water Quality Indices (WQIs) vary from 0.44 to 1887.40, indicating a diverse range of water quality across the samples analyzed. The classification of these samples reveals that 62.5% are considered excellent, while 15% are categorized as good, another 15% as poor, 2.5% as very poor, and 5% as unsuitable for consumption. Furthermore, the results derived from ANN with five inputs, one hidden layer (13 neurons) and one output (WQI) demonstrates superior efficiency in assessing water quality.