Final Point Research Articles

Predictores del éxito académico en estudiantes de pregrado de la carrera de Nutrición y Dietética de la Pontificia Universidad Católica de Chile

IntroductionIdentifying the factors that determine academic success can help design strategies focused on increasing academic success. We aimed to identify predictors associated with academic success in undergraduate students of the Nutrition and Dietetics Program of the Pontificia Universidad Católica de Chile (PUC). MethodsRetrospective study using the institutional database. Academic success was the main outcome, including two indexes: i) final grade point average (GPA-f) and; ii) timely graduation, defined as graduating in ≤10 semesters. Candidate predictors were: age, sex, region of origin, school attended, score at the university selection test (PSU-score), admission route, and preference for the program. Stepwise linear regression was used to identify predictors of GPA-f. Binary logistic regression was used to identify variables associated with timely graduation. ResultsPSU-score was the only predictor of GPA, explaining 24% of its variance. The odds (OR [95%CI]) for a timely graduation were influenced by PSU-score (1.017 [1.003–1.031]) and admission route (PSU 1.00 [Reference], Inclusive 0.30 [0.10–0.96], Special 0.46 [0.13–1.57]). Conclusions and implicationsPSU-score partially predicts the academic success of Nutrition and Dietetics students. In addition, students who accessed the program by the equity admission had lower odds of a timely graduation. As educational inequalities may affect academic success, the teaching and learning process needs to be addressed with specific strategies for these students to ensure academic success.

Associations among screen time, sleep, mental health and cognitive functioning in school-aged children during the COVID-19 pandemic, November 2020 through to August 2022

ObjectiveTo examine children’s screen time use and sleep patterns over 2 years of the pandemic and the downstream associations with children’s executive functions and behavioural problems, as well as the moderating effects of parental factors. MethodThis longitudinal cohort study examined school-aged children’s lifestyle and behavioural changes over 2 years of the pandemic across 6 timepoints (November 2020 to August 2022). Latent growth modeling (LGM) was used to identify changes in screen time and sleep duration and multivariate LGM was used to determine how parental stress, positive parenting, changes in children’s screen time and sleep over time were associated with children’s executive functions and mental health outcomes at the final time point. ResultsA total of 198 parents (children’s mean age = 9.14 years) were recruited and followed up. Non-school screen time was elevated at the initial timepoint (3.6 ± 2.3 h). Positive parenting at the initial timepoint was associated with lower screen time use in children (β = −.19, p < .001; β = −.19, p < .001, in internalizing and externalizing models). Children whose screen time use was constant during the pandemic had shorter sleep durations (β = −.45, p < .05 in internalizing model). Executive function was predicted by sleep duration at the first timepoint (β = −.55, p < .001; β = .73, p < .001, in internalizing and externalizing models) and changes in screen time during the pandemic was associated with both internalizing and externalizing symptoms (β = .58, p < .05; β = .54, p < .05, in internalizing and externalizing models). ConclusionChildren’s screen time decreased slightly but remained significantly higher than Canadian and International guidelines during 2 years of the pandemic. Positive parenting styles can have a significant impact on children's screen time use. Reducing excessive screen time can help improve sleep patterns and, consequently, cognitive, and emotional well-being in children.

Photobiomodulation with near-infrared laser for tinnitus management: preliminary animal experiments and randomized clinical trials.

This study investigates the effectiveness of photobiomodulation therapy (PBMT) in treating chronic high-frequency tinnitus with the TINI device, a near-infrared (830nm) laser. The study includes preliminary animal experiments with 28 mice and a randomized controlled trial with 56 participants to examine the functional and molecular changes in the auditory system that PBMT may cause. The animal model used sodium salicylate to induce tinnitus, followed by PBMT, which showed promising reductions in the behavioral evidence of tinnitus and a reversal of tinnitus-associated upregulation of vesicular glutamate transporters 2 expression in the ipsilateral dorsal cochlear nucleus (p < 0.05). In the clinical trial, participants with chronic high-frequency tinnitus received trans-tympanic application of the TINI device. The results did not show a significant difference in tinnitus score at the final time point when compared to the sham group. However, questionnaires revealed significant improvements in tinnitus symptoms and psychological outcomes following treatment with the TINI device compared to before treatment (p < 0.05). These findings suggest that while PBMT has potential benefits, its clinical effectiveness may be unclear due to its complex nature and interaction with other conditions. Further research is required to optimize treatment parameters and gain a complete understanding of the therapeutic potential of PBMT in managing tinnitus.

A secure image steganography based on LSB technique and 2D chaotic maps

This paper introduces a pioneering, effective data-hiding algorithm using different sizes of cover images and different types of secret data (image, txt, and audio). The proposed algorithm is based on a hybrid 1D chaotic map combined with a 2D composite chaotic map paired with optimization and Least Significant Bits (LSB) techniques. We employ chaotic maps to create the initial embedding position vector, and LSB to hide the secret message in the cover image. The optimization technique utilizes the chaotic maps to optimize the random embedding sites, looking for value matches between the cover image pixels and the secret data bits. This partial improvement leads to a high-quality stego-image, a large embedding capacity, imperceptibility to the human eye, undetectability, and enhanced security. The outcomes of the extensive experiments show that when the payload is 4.2 bits per pixel, the peak signal-to-noise ratio value (PSNR), which expresses the visual quality, is above 30 dB. Furthermore, the experimental results illustrate that the system exhibits robustness against various types of attacks. As a final point of strength, the large key space (2^206) prevents the secret data from being resolved if stego-images are accessed by intruders or third parties. Even minor changes in key bits can significantly alter the extracted secret data, resulting in entirely different secret data.

Solid health care waste management practice in Ethiopia, a convergent mixed method study

IntroductionHealthcare waste is any waste generated by healthcare facilities that is considered potentially hazardous to health. Solid healthcare waste is categorized into infectious and non-infectious wastes. Infectious waste is material suspected of containing pathogens and potentially causing disease. Non-infectious waste includes wastes that have not been in contact with infectious agents, hazardous chemicals, or radioactive substances, similar to household waste, i.e. plastic, papers and leftover foods.This study aimed to investigate solid healthcare waste management practices and develop guidelines to improve solid healthcare waste management practices in Ethiopia. The setting was all health facilities found in Hossaena town.MethodA mixed-method study design was used. For the qualitative phase of this study, eight FGDs were conducted from 4 government health facilities, one FGD from each private health facility (which is 37 in number), and forty-five FGDs were conducted. Four FGDs were executed with cleaners; another four were only health care providers because using homogeneous groups promotes discussion. The remaining 37 FGDs in private health facilities were mixed from health professionals and cleaners because of the number of workers in the private facilities. For the quantitative phase, all health facilities and health facility workers who have direct contact with healthcare waste management practice participated in this study. Both qualitative and quantitative study participants were taken from the health facilities found in Hossaena town.ResultSeventeen (3.1%) health facility workers have hand washing facilities. Three hundred ninety-two (72.6%) of the participants agree on the availability of one or more personal protective equipment (PPE) in the facility ‘‘the reason for the absence of some of the PPEs, like boots and goggles, and the shortage of disposable gloves owes to cost inflation from time to time and sometimes absent from the market’’. The observational finding shows that colour-coded waste bins are available in 23 (9.6%) rooms. 90% of the sharp containers were reusable, and 100% of the waste storage bins were plastic buckets that were easily cleanable. In 40 (97.56%) health facilities, infectious wastes were collected daily from the waste generation areas to the final disposal points. Two hundred seventy-one (50.2%) of the respondents were satisfied or agreed that satisfactory procedures are available in case of an accident. Only 220 (40.8%) respondents were vaccinated for the Hepatitis B virus.ConclusionHand washing facilities, personal protective equipment and preventive vaccinations are not readily available for health workers. Solid waste segregation practices are poor and showed that solid waste management practices (SWMP) are below the acceptable level.

Reducing Alcohol Misuse and Promoting Treatment Initiation Among Veterans Through a Brief Internet-Based Intervention: Protocol for a Randomized Controlled Trial.

Young adult veterans who served after the September 11 attacks on the United States in 2001 (ie, post-9/11) are at heightened risk for experiencing behavioral health distress and disorders including hazardous drinking, posttraumatic stress disorder, and depression. These veterans often face significant barriers to behavioral health treatment, and reaching them through brief mobile phone-based interventions may help reduce drinking and promote treatment engagement. Following a successful pilot study, this randomized controlled trial (RCT) aims to further test the efficacy of a brief (ie, single session) mobile phone-delivered personalized normative feedback intervention enhanced with content to promote treatment engagement. We will conduct an RCT with 800 post-9/11 young adult veterans (aged 18 to 40 years) with potentially hazardous drinking and who have not recently received treatment for any behavioral health problems. Participants will be randomly assigned to the personalized intervention or a control condition with resources for seeking care. The personalized normative feedback module in the intervention focuses on the correction of misperceived norms of peer alcohol use and uses empirically informed approaches to increase motivation to address alcohol use and co-occurring behavioral health problems. Past 30-day drinking, alcohol-related consequences, and treatment-seeking behaviors will be assessed at baseline and 3, 6, 9, and 12 months post intervention. Sex, barriers to care, posttraumatic stress disorder, depression, and severity of alcohol use disorder symptoms will be explored as potential moderators of outcomes. We expect recruitment to be completed within 6 months, with data collection taking 12 months for each enrolled participant. Analyses will begin within 3 months of the final data collection point (ie, 12 months follow-up). This RCT will evaluate the efficacy of a novel intervention for non-treatment-seeking veterans who struggle with hazardous drinking and possible co-occurring behavioral health problems. This intervention has the potential to improve veteran health outcomes and overcome significant barriers to treatment. ClinicalTrials.gov NCT04244461; https://clinicaltrials.gov/study/NCT04244461. DERR1-10.2196/59993.

Psychotherapeutic research and practice: Do we need to talk about ‘efficacy’?

ABSTRACT In this article, we address how standardisation in psychotherapeutic research and practice can create a ‘procrustean bed’ which leads to conformity rather than an ethical response to what emerges in the moment. Articulated, three points of conflict in which we discuss how the therapist or researcher may be rendered ‘ineffective’ in the name of ‘efficacy’. We explore some of the implications for idiosyncratic practices in psychotherapy, which are rooted in a foundation of ethics and philosophy, when the paradigm of empirically ‘evidence-based practices’ (EBP), which are rooted in measurement, takes centre stage and are overwhelmingly favoured in the industry of funded therapies. The first point of conflict is in relation to conversation itself; exploring the place of hermeneutics and interpretation within therapeutic dialogue and research. The second point explores what it means to take up a discovery-oriented stance and the implications this has for ‘evidence’; further delving into the way our demand for ‘evidence’ may be impacting how psychotherapeutic research and practice is carried out. The final point aims to explore the infrastructure and work environment of funded therapies in the United Kingdom.

Pharmacokinetic Comparison of Selective Prostatic Arterial and Intravenous PSMA PET/CT Radioligand Infusions in Primary Prostatic Adenocarcinoma.

Background Intravenous prostate-specific membrane antigen (PSMA)-targeted radioligand therapy improves survival in men with metastatic castration-resistant prostate cancer. Yet, the impact of selective prostatic arterial administration on primary tumor uptake is unclear. Purpose To compare gallium 68 (68Ga)-PSMA-11 uptake using dynamic PET/CT in prostatic tumoral volumes of interest (VOIs) during intravenous and selective prostatic arterial infusions for individuals with untreated, high-risk prostate cancer. Materials and Methods In this prospective, intraindividual comparative study conducted at an academic medical center, five men aged 58, 61, 64, 66, and 68 years with treatment-naive prostate cancer were enrolled between January 2022 and February 2023 and underwent two dynamic 68Ga-PSMA-11 PET/CT examinations 1 week apart. During the first examination, the radiotracer was administered intravenously. During the second administration, the radiotracer was delivered into either the right or left prostatic artery through an angiographically placed microcatheter. The primary outcome was maximum standardized uptake value (SUVmax) in prostatic tumoral VOIs. The secondary outcomes included mean SUV (SUVmean) in prostatic tumoral VOIs and area under the SUVmean curves (AUC). Longitudinal mixed-effects models were used to compare dynamic SUVmax and SUVmean time-activity curves (TACs), and paired t tests were used for the remaining data. Results The mean SUVmax within tumoral VOIs was 14 (range, 3-43) for venous sessions and 938 (range, 460-1436) for arterial sessions (P = .008). The SUVmean within VOIs was greater during arterial sessions (P < .001) overall and 46-fold and 19-fold greater at peak uptake and final time points, respectively. The mean AUC was greater on arterial TACs than on venous TACs at 14600 SUV × min (range, 8353-20025 SUV × min) and 240 SUV × min (range, 69-622 SUV × min), respectively (P = .002). Conclusion Selective prostatic arterial infusion resulted in greater 68Ga-PSMA-11 tumoral SUV than intravenous infusion. Further study of local-regional, intra-arterial delivery of a PSMA-targeted theranostic agent is warranted in high-risk prostate cancer. ClinicalTrials.gov identifier: NCT04976257 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Civelek in this issue.

Fatigue, Fogginess, and Sleep Complaints: Presence and Impact on Functioning After Childhood Traumatic Brain Injury.

The purpose of this study was to examine the occurrence and impact of fatigue, fogginess, and sleep complaints on functioning at 3, 6, 10, and 16 months after childhood traumatic brain injury (TBI). Eighty-eight caregivers completed online surveys regarding their children with TBI, with 17 participants included at the final time point. Measures included questions related to demographic and injury characteristics, executive functioning, social relations, health-related quality of life, and fatigue, fogginess, and sleep complaints. Fatigue, fogginess, and sleep complaints were persistent and ultimately increased at 16 months postinjury. Over half of the participants were experiencing each symptom at 16 months postinjury (i.e., 52.94% fatigue and fogginess, 58.82% sleep complaints). At 16 months postinjury, fatigue was significantly associated with female sex, and fatigue and sleep complaints were significantly associated with lower physical quality of life, but no other differences were found with symptoms and current functioning. The results of this study support that fatigue, fogginess, and sleep complaints can persist (from baseline, from postinjury, and in fluctuation) chronically for about half of the children with TBI but little association or impact on other domains of functioning. The present study supports the continued investigation of fatigue, fogginess, and sleep complaints after childhood brain injury, but further investigation with a larger sample size is necessary to inform clinical practices for assessment and management, particularly for speech-language pathologists in rehabilitation and educational settings.

Localization of Moving Sound Stimuli under Conditions of Spatial Masking

The aim of this study was to investigate spatial masking of noise signals in the delayed motion paradigm. Spatial effects were created by interaural level differences (ILD). Stationary maskers were located laterally or near the head midline, while test signals moved at different velocities from the head midline towards the ears, or in the opposite direction. The masking effect was measured by shifts in the perceived azimuthal positions of the starting and final points of signal trajectories, compared to their positions in silence. The perceived trajectories of all test signals shifted in the opposite direction from the masker. The masking effect was most pronounced in the spatial regions closest to the maskers, and was stronger when the signal moved towards the masker, compared to moving away from it. The final points were perceptually shifted further than the starting points. Signal velocity and masker presentation side (left or right) did not change the degree of masking.

The application of film based on gelatin/hydroxymethyl cellulose and red beetroot betalain in smart food packaging.

Edible films containing anthocyanin and betacyanin as indicators of freshness are promising systems for food smart packaging. This research aimed to develop a smart color film for food packaging using gelatin/hydroxypropylmethyl cellulose (HPMC) and red beet betalain. In this study, edible films with different ratios of gelatin to HPMC were prepared successfully, and the ratio of 3:1 was determined as optimal samples based on water vapor permeability (WVP) and mechanical properties. Betalain with different concentrations was then added to the optimal film, and the physical and mechanical properties of the resulting films were evaluated. Also, TVB-N test to assess their ability to detect beef meat and shrimp spoilage was studied. The addition of betalain improved the solubility, WVP, mechanical properties, and 2,2-diphenyl-l-picrylhydrazyl free radical scavenging activity of the film. As a final point, the incorporation of betalain into the gelatin/HPMC films can be used to indicate the freshness of food.

A prediction method for the individual serum concentration and therapeutic effect for optimizing adalimumab therapy in inflammatory bowel disease.

Adalimumab (ADM) therapy is effective for inflammatory bowel disease (IBD), but a significant number of IBD patients lose response to ADM. Thus, it is crucial to devise methods to enhance ADM's effectiveness. This study introduces a strategy to predict individual serum concentrations and therapeutic effects to optimize ADM therapy for IBD during the induction phase. We predicted the individual serum concentration and therapeutic effect of ADM during the induction phase based on pharmacokinetic and pharmacodynamic (PK/PD) parameters calculated using the empirical Bayesian method. We then examined whether the predicted therapeutic effect, defined as clinical remission or treatment failure, matched the observed effect. Data were obtained from 11 IBD patients. The therapeutic effect during maintenance therapy was successfully predicted at 40 of 47 time points. Moreover, the predicted effects at each patient's final time point matched the observed effects in 9 of the 11 patients. This is the inaugural report predicting the individual serum concentration and therapeutic effect of ADM using the Bayesian method and PK/PD modelling during the induction phase. This strategy may aid in optimizing ADM therapy for IBD.

The effect of Z-Score on Year Grade Point Average (YGPA) and Final Grade Point Average (FGPA) in Faculty of Engineering, General Sir John Kotelawala Defence University (KDU)

A collection of 182 Intake 35 day scholar undergraduates who had followed the Local GCE Advanced Level examination from the Faculty of Engineering, General Sir John Kotelawala Defence University (KDU), was selected. Data was collected from the several departments and units of KDU. The Grade Point Average (GPA) was considered the scale of a student’s academic performance in the study. A descriptive analysis was performed to differentiate the configuration of the data and the relationship between the Year Grade Point Average (YGPA), and Final Grade Point Average (FGPA) variables with the Z-Score. Spearman and Kendall rank correlation tests were performed in the analysis. The results indicated that the Z-score has a comparatively strong positive relationship with student’s performance at the university in their first year and the class selection.

Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration

Carbon trading is one of the strategies to achieve the goal of dual carbon. However, carbon prices exhibit non-stationary and nonlinear characteristics, posing significant challenges for accurate forecasting. Inspired by the ideas of “division and conquest” and “granularity reconstruction”, a decomposition-reconstruction-integration framework is built for carbon price forecasting. The proposed model leverages a comprehensive ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and sample entropy (SE) to extract features from two perspectives of time and complexity, and thus the one-dimensional time series of carbon price is reconstructed into different items. Subsequently, leaky integrator echo state networks (LiESNs) are utilized to forecast each of these items individually. These individual forecasts are then integrated to generate the final point forecast. To evaluate the uncertainty of the point forecast, a Gaussian process model is applied to interval forecast. The proposed model comprehensively considers the time series features of carbon price including the temporal modal features in the decomposition stage, the entropy probability features in the reconstruction stage, and the essential temporal dependencies via dynamic reservoir of interconnected neurons in the integration forecasting stage. Experimental results demonstrate the model's exceptional forecasting performance, surpassing the effectiveness of alternative approaches.

KEY ASPECTS OF STRATEGIC INFRASTRUCTURE DEVELOPMENT

The strategic infrastructure is the backbone of every transport network. The development in the last several years changed its course following the geopolitical situation and the enormous growth of electrical and self-driving cars. It is no longer enough to connect borders, we need to connect them in a certain way to ensure that the transport from one country will not face difficulties to the final point. For example, in the current situation if we travel between the farthest points in Europe we will cross different roads, with different characteristics and different rules, but we will reach the final point. If we consider traveling with the electric car it will be impossible as we will need a charging station every few hundred kilometres. To meet society's needs we need to reorganize the ways we are thinking of the strategic infrastructure.

The key role of specific DSM-5 diagnostic criteria in the early development of alcohol use disorder: Findings from the RADAR prospective cohort study.

Prevention and early intervention of alcohol use disorder (AUD) is a public health priority, yet there are gaps in our understanding of how AUD emerges, which symptoms of AUD come first, and whether there are modifiable risk factors that forecast the development of the disorder. This study investigated potential early-warning-sign symptoms for the development of AUD. Data were from the RADAR study, a prospective cohort study of contemporary emerging adults across Australia (n = 565, mean age = 18.9, range = 18-21 at baseline, 48% female). Participants were interviewed five times across a 2.5-year period. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) AUD criteria and diagnoses were assessed by clinical psychologists using the Structured Clinical Interview for DSM-IV (SCID-IV), modified to cover DSM-5 criteria. Hazard analyses modeled the time from first alcoholic drink to the emergence of any AUD criteria and determined which first-emergent AUD criteria were associated with a faster transition to disorder. By the final time point, 54.8% of the sample had experienced at least one DSM-5 AUD criterion and 26.1% met criteria for DSM-5 AUD. The median time from first AUD criterion to a diagnosis of AUD was 4 years. Social problems from drinking (hazard ratio [HR] = 3.24, CI95 = 2.14, 4.92, p < 0.001), major role (HR = 2.53, CI95 = 1.58, 4.06, p < 0.001), and drinking larger amounts/for longer than intended (HR = 2.04, CI95 = 1.20, 3.46, p = 0.008) were first-onset criteria associated with a faster transition to AUD. In the context of a prospective general population cohort study of the temporal development of AUD, alcohol-related social problems, major role problems, and using more or for longer than intended are key risk factors that may be targeted for early intervention.

Evaluating the Impact of a Virtual Health Coaching Lifestyle Program on Weight Loss after Sleeve Gastrectomy: A Prospective Study.

Bariatric surgery (BS) is a leading treatment for obesity; however, adverse side effects (e.g., pain and infection) can deter patients or affect weight maintenance. This study investigates how a post-operative virtual health coaching lifestyle program, monitoring virtual weekly goal progress made by patients, affects weight loss after BS, specifically sleeve gastrectomy. Patients recruited for this 6-month study were classified with a BMI > 30 kg/m2 90 days post-operatively. Patients were prescribed lifestyle support delivered by certified health and wellness coaches (InHealth Lifestyle Therapeutics™). Demographic variables (e.g., age, weight, height, and gender) were obtained and compared according to initial, 3-, 6-month, and current weight through repeated measures ANOVA and post hoc comparison. Thirty-eight adult participants were included, with a mean age of 52 years ± 12.9 and with a majority (n = 35; 97%) of them being female. There were significant differences in weight reported across all five time points (p < 0.05), with the greatest weight difference seen between the initial (250.3 ± 45.5 lbs.) and final time points (226.7± 40.4 lbs.). This study suggests post-operative virtual health coaching can enhance weight loss outcomes after sleeve gastrectomy. Further research is needed to assess the long-term effects and cost-effectiveness of such a form of coaching for bariatric surgery patients.

PROMOTING THE MILITARY PROFESSION, FUNDAMENTAL FACTOR IN HUMAN RESOURCE RECRUITMENT FOR THE ROMANIAN AIR FORCE

For the Romanian Air Force, the promotion of the military profession, recruitment, selection, initial training, as well as the training of aeronautical personnel represents the most complex and laborious activity, since reaching the operational level requires going through the algorithm of a process that is characterized by a relatively long duration of training, impressive costs and, last but not least, risks specific to the aeronautical environment. The trajectory of this process has as its starting point the recruitment and selection of candidates for admission to the higher and post-secondary military institutions of the Air Force, specialized in the training of specialists in military aeronautics. The final point of this path is the combat unit, where the training of the aeronautical personnel takes the form of specialization for the technique served and the achievement of the performance indices that give it the status of operational aeronautical personnel. The finality of this process is realized in the achievement of the fundamental objective for the Romanian Air Force - the provision of large units and air units with well-trained aeronautical personnel, capable of performing the entire range of aeronautical activities, which can only be achieved through the quality of staged training formative-instructive algorithm.

A Persistent Scatterer Point Selection Method for Deformation Monitoring of Under-Construction Cross-Sea Bridges Using Statistical Theory and GMM-EM Algorithm

Using traditional algorithms to identify persistent scatterer (PS) points is challenging during bridge construction because of short-term changes at construction sites, such as earthworks, as well as the erection and dismantling of temporary structures. To address this issue, this study proposes a PS point selection method based on statistical theory and Gaussian Mixture Model-Expectation Maximization (GMM-EM) algorithm. This method adopts amplitude information as an incoherence evaluation indicator. Furthermore, the statistical median of the amplitude dispersion index and amplitude mean is screened twice to extract a set of candidate points, including PS points that exhibit stable backscattering over long durations. Temporal coherence is simultaneously used as the coherence evaluation indicator. Another candidate point set is obtained by extracting high-coherence PS points using the GMM-EM algorithm. These sets of candidate points are then combined to obtain a final PS points set. In the experiment, the deformation monitoring of the under-construction Shenzhen-Zhongshan Cross-Sea Bridge in China was selected as a case study, with 28 Sentinel-1A images used as the data source for PS selection and deformation information extraction. The results show that the proposed method enhanced the density and quality of PS points on the under-construction cross-sea bridge compared to existing PS selection methods, thus offering higher reliability. Deformation analysis further revealed fluctuating deformation trends at characteristic points of the Shenzhen-Zhongshan Cross-Sea Bridge, indicating the occurrence of elastic deformation during its construction.

Multi-objective optimization design of a solar-powered integrated multi-generation system based on combined SCO2 Brayton cycle and ORC using machine learning approach

In order to reduce the use of fossil fuels and meet the needs of different energy products, this paper proposes an integrated multi-generation system that can produce power, cooling, and freshwater. A mathematical model is established to analyze the system performance from the perspectives of energy, exergy and economics. Different machine learning algorithms are used to develop prediction models of the system performance. By comparing the predictive performance of different machine learning models, the optimal model is obtained to replace the thermodynamic model of the proposed system to accelerate the optimization process. The results show that the backpropagation neural network (BPNN) model demonstrates the highest predictive accuracy and the lowest relative error fluctuation. When comparing the multi-objective optimization results of the BPNN model with those of the thermodynamic model, it can be observed that the results achieved through both models are very close. Furthermore, the optimization time using the BPNN model is significantly shorter than the thermodynamic model. Finally, under the conditions of solar radiation intensity of 950 W/m2, heliostat field area of 1000 m2, and heat source temperature of 838.15 K, the total product output, thermal efficiency, exergy efficiency, and levelized cost of energy at the final optimal point obtained through BPNN model-based optimization are 2.486 MW, 26.16 %, 23.64 %, and 0.105 $/kWh, respectively. The net power output, cooling capacity, and freshwater flow rate are 2.006 MW, 131.06 kW, and 8.27 m3/h, respectively.