bluuebunny/crossref_metadata_2025 huggingface dataset:
Psychological Risk Factors in the Transition from Suicidal Ideation to Suicidal Behavior in Young Adults
Authors: Yöyen Elif , Keleş Merve
Published: September 2024

Background: Suicidal behaviour, defined as acting with the intention of killing oneself and thinking about doing so, is a serious public health problem. Being able to list the risk factors in the process from suicidal ideation to suicidal behaviour is important in preventing suicide. Objectives: The study was conducted to examine the psychological variables that discriminate between individuals who attempt suicide and those who only have suicidal ideation. Methods: The sample of the study consisted of 108 individuals who attempted suicide and 197 individuals with suicidal ideation, aged 18–25 years. Data were collected using the Demographic Information Form, Anger/Impulsivity (A/I) and Hopelessness/Loneliness (H/L) subscales of the Suicide Probability Scale (SPS), Psychological Pain Scale (PPS), State and Trait Anxiety Scale (STAS), Beck Depression Inventory (BDI), Interpersonal Needs Questionnaire (INQ), Acquired Suicide Efficacy/Death Fearlessness Scale (ASE/DFS) and General Attitudes and Beliefs Scale Short Form (GABS-SF). Results: Results showed that anger/impulsivity (Wald = 4.827; p < 0.05), perceived burden on others (Wald = 8.613; p < 0.05), acquired suicide efficacy/death fearlessness (Wald = 13.377; p < 0.001), being female (Wald = 3.925; p < 0.05), presence of diagnosed psychiatric illness in the family (Wald = 5.705; p < 0.05), and receiving psychological support (Wald = 4.381. p < 0.05) variables are significant predictors of the transition from suicidal ideation to suicidal action. Conclusions: The identification of psychological factors between suicide attempters and suicide ideation groups may guide clinicians in the follow-up and treatment of individuals at risk of attempting suicide. In addition, the results may contribute to the development of new intervention, education and treatment programmes for suicide.
Work Motivation: A Wall That Not Even the COVID-19 Pandemic Could Knock Down: Research Article
Authors: Bogdán Patrik M. , Zrínyi Miklós , Madarász Ildikó , Tóth Lívia , Pakai Annamária
Published: September 2024

The emergence of the coronavirus pandemic in 2020 posed a new challenge, imposing extraordinary physical and psychological burdens on healthcare workers, clearly exacerbating and intensifying career abandonment. Objectives: The aim of our study was to explore the motivating factors among nurses serving during the coronavirus pandemic that they considered important in their profession despite the mental and physical stress brought about by the pandemic. Methods: A descriptive, cross-sectional study was conducted at the University of Pécs-Clinical Center-Regional Coronavirus Care Center between September 2022 and December 2022. We used non-random, expert, purposive sampling, recruiting healthcare workers who had spent at least 3 months working in a COVID ward (n = 196). Data collection was conducted by using an online, anonymous questionnaire, which included sociodemographic questions, the “Motivation at Work Scale”, and a self-edited six-item questionnaire. Results: Regarding the 5-year probability of remaining in the healthcare field, nine participants (4.5%) will definitely leave the healthcare sector, twenty-seven participants (13.7%) are undecided, and seventy-eight participants (39.7%) will definitely stay in the healthcare field over the next 5 years. There is a positive, weak, but significant correlation between intrinsic motivation and the probability of leaving the profession within 5 years (r = 0.281; p < 0.05). We identified a significant, negative, and weak correlation between the number of revisited waves of the coronavirus and the fear of redeployment to the COVID ward (r = −0.273; p < 0.05). Conclusions: Despite the challenges posed by the coronavirus pandemic, only a small percentage of nurses consider leaving the healthcare profession. Joy and enjoyment in their work were dominant factors even during the pandemic.
Telephone Counseling for Children Recovering from Tonsil Surgery—A Randomized Controlled Feasibility Study
Authors: Rosén Helena , Landgren Kajsa , Olofsson Eva , Drevenhorn Eva , Gudnadottir Gunnhildur , Gagnemo Persson Rebecca
Published: September 2024

Background: Even though children after tonsil surgery experience pain and other limitations in their daily lives, nursing care is transferred to parents after tonsil surgery, and they might need some kind of support. The aim of the study was to test the design of a randomized controlled trial intended to evaluate a nurse-led telephone follow-up after tonsil surgery on postoperative symptoms and quality of life. Methods: Of the seventeen children aged 3–17 years scheduled to tonsil surgery, nine were randomized to the intervention group and eight to the control group using a randomization list. The parents in the intervention group were contacted by telephone on days 1, 3, 5, and 10 postoperatively for counseling by a nurse. The instruments Postoperative Recovery in Children (PRiC) and the health-related quality of life instrument (EQ-5 D-Y) were used to evaluate postoperative symptoms and quality of life, respectively. Results: Eight participants in the intervention group reported throat pain compared to five participants in the control group on the operation day and four days after, possibly due to an uneven distribution of the type of surgery between the study groups. The parents appreciated the telephone counseling, and there were no unplanned revisits in the intervention group. However, it was difficult to recruit participants and the assessment tools were not always fully completed. Conclusions: No explicit conclusions can be drawn from this feasibility study due to the low number of participants and the study design needs adjustments.
Implementing a Pulmonary Telerehabilitation Program for Young Adults with Post-COVID-19 Conditions: A Pilot Study
Authors: Esparza Wilmer , Noboa Alfredo , Madera Camila , Acosta-Vargas Patricia , Acosta-Vargas Gloria , Carrión-Toro Mayra , Santórum Marco , Ayala-Chauvin Manuel , Santillán Guillermo
Published: September 2024

Background: Several studies have shown that pulmonary telerehabilitation (PTR) improves respiratory capacity. However, there is little evidence of its effectiveness in youth with post-COVID-19 conditions (PCC). This study analyzed the effects of a PTR program on young adults with PCC. Methods: Sixteen youths were randomly assigned to a control group (CG) or an experimental group (EG), with eight participants each. The EG participated in a PTR program that included twelve remote, asynchronous four-week sessions with diaphragmatic breathing and aerobic exercises. Vital signs (SpO2, HR, RR, BP), physical capacity (sit-to-stand test), cardiorespiratory capacity (6-Minute Walk Test), and perceived exertion (Borg scale) were assessed in both groups. Results: Statistical analyses showed a significant decrease in RR and HR (p < 0.012) and an increase in SpO2 (p < 0.042), physical (p < 0.012), and respiratory (p < 0.028) capacity. Perceived effort decreased significantly in both groups (CG: p < 0.006; EG: p < 0.001) only for physical but not for cardiorespiratory capacity (p < 0.106). There were no statistical changes registered in BP (p > 0.05). Conclusions: The PTR program, which includes respiratory and aerobic exercises, is feasible and effective in improving physical and cardiorespiratory capacity in young people with PCC, as well as reducing HR, RR, and dyspnea.
Mapping Localization Preferences for Residential Buildings
Authors: Jabłoński Jacek , Wielebski Łukasz , Medyńska-Gulij Beata
Published: September 2024

In this study, we tried to gauge the trends of localization preferences for residential buildings among young adults. The pragmatic dimension of these studies is important in the process of real estate investment, where a location can be expressed using indicators and statistical data and then, using maps, indicate preferred areas for living in a small town. The aim of our research was to examine and visualize the preferences of young people for living locations in relation to access to services. We conducted an online survey using a Likert scale to determine which services and amenities are most important for young residents. Using multi-criteria evaluation (MCE) methods and their formulas, we calculated the attractiveness coefficient of the location of residential buildings, which we propose to call the RBLAF (Residential Building’s Localization Attractiveness Factor). The results of this research are maps: qualitative–quantitative with point symbols for the structure of services and quantitative isochromatics showing the preferences of potential future investors in real estate.
Enhancing Clinical Decision Support for Precision Medicine: A Data-Driven Approach
Authors: Mosavi Nasim Sadat , Santos Manuel Filipe
Published: September 2024

Precision medicine has emerged as a transformative approach aimed at tailoring treatment to individual patients, moving away from the traditional one-size-fits-all model. However, Clinical decision support systems encounter challenges, particularly in terms of data aspects. In response, our study proposes a data-driven framework rooted in Simon’s decision-making model. This framework leverages advanced technologies such as artificial intelligence and data analytics to enhance clinical decision-making in precision medicine. By addressing limitations and integrating AI and analytics, our study contributes to the advancement of optimal clinical decision-making practices in precision healthcare.
Thrips (Thysanoptera: Terebrantia) in Nectarine Orchards in North-East Spain: Species Diversity and Fruit Damage
Authors: Gallardo-Ferrand Albert , Escudero-Colomar Lucía Adriana , Avilla Jesús , Bosch-Serra Dolors
Published: September 2024

Thrips constitute one of the main nectarine pests, with damage either in flowering or before harvesting (silvering). Several species are associated with damage to flowers, but Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae) is the main species associated with summer damage in Europe. Tree canopies of nectarine orchards under organic and integrated management were sampled in Lleida and Girona at four key moments of the season (bud burst, full flowering, fruit setting stage, and colorization of the fruit) during 2021 and 2022 to determine the species composition in the area and the damage caused during fruit maturation. Adult individuals in flowers, leaves, and fruit surfaces were collected and identified, and silvering damage to the fruit surface was assessed in the Lleida area. Fifteen species in Lleida and 10 species in Girona were collected from the tree canopy. Organic orchards in Lleida showed lower populations and silvering damage levels when compared with integrated orchards. Thrips fuscipennis Haliday (Thysanoptera: Thripidae) 1836 was the main species in Lleida during harvest, and Frankliniella occidentalis (Pergande) 1895 was the main species in Girona. Due to their predominance, both species were associated with silvering damage during fruit maturation.
Monitoring and Detection of Insecticide Resistance in Spodoptera frugiperda (Lepidoptera: Noctuidae): Evidence for Field-Evolved Resistance in Egypt
Authors: Moustafa Moataz A. M. , El-Said Nourhan A. , Alfuhaid Nawal AbdulAziz , Abo-Elinin Fatma M. A. , Mohamed Radwa M. B. , Aioub Ahmed A. A.
Published: September 2024

Spodoptera frugiperda (J.E. Smith) (Noctuidae: Lepidoptera) is a notable insect pest that invades major cereal crops, causing significant damage and loss. Resistances of 2nd instar larvae of two Egyptian field populations of S. frugiperda, collected from the Fayoum and Giza governments, were measured against eight insecticides, including traditional insecticides (profenofos and cypermethrin), bio-insecticides (emamectin benzoate, spinosad, and Bacillus thuringiensis), and insect growth regulators (IGRs) (lufenuron, diflubenzuron, and methoxyfenozide). In addition, the synergistic effects of three synergists (Piperonyl butoxide (PBO), diethyl maleate (DEM), and triphenyl phosphate (TPP) were assessed, and the activities of detoxification enzymes (acetylcholine esterase (AChE), cytochrome P-450 (CYP-450), carboxylesterase (CarE), and glutathione-s-transferase (GST) were also determined. Resistance surveillance revealed that the Fayoum field population showed moderate resistance to cypermethrin (RR = 5.75-fold), followed by spinosad (RR = 2.62-fold), and lufenuron (2.01-fold). On the other hand, the Giza population exhibited significant resistance to cypermethrin only (RR = 3.65-fold). Our results revealed that emamectin benzoate was the most effective insecticide, with an LC50 value of 0.003 mg/L for the Fayoum population and 0.001 mg/L for the Giza population, compared to the susceptible strain (0.005 mg/L). Among the biological insecticides, Bacillus thuringiensis was the least toxic insecticide of all the tested strains. Synergism assays indicated that DEM and TPP had the most synergistic effect on spinosad (SR = 8.00-fold for both), followed by PBO (SR = 5.71-fold) for the Fayoum population, compared with spinosad alone. The assay of detoxification enzymes showed that GST activity significantly (p < 0.05) increased in the two field strains compared to the susceptible strain. However, no significant changes were observed among the tested strains in CYP-450, CarE, or AChE. The findings of this study provide substantial insights into tracking and managing the development of insecticide resistance in S. frugiperda in Egypt.
“Defendit Numerus”: A Pooled Analysis of 6145 Locally Advanced Rectal Cancer Treated with Preoperative Chemoradiotherapy
Authors: Giuliani Jacopo , Mandarà Marta , Muraro Marco , Rampello Elvira , Franceschetto Antonella , Fiorica Francesco
Published: September 2024

Objective: The optimal management of rectal cancer remains a subject of ongoing research. This meta-analysis of individual patient data assessed the benefit of chemoradiotherapy (fluorouracil-based) in local advanced rectal cancer: disease-free survival and overall survival. Methods: We pooled the data of 6145 patients from 24 studies of rectal cancer who received neoadjuvant radiotherapy with concomitant fluorouracil or capecitabine and surgery. The PRISMA 2020 abstract checklist was followed. Individual participant survival was reconstructed with an algorithm from published Kaplan–Meier curves. Results: The median OS was not reached; the mean survival time was 135.4 months (127.9–141.5). The median DFS was 176.9 months, and the mean disease-free survival time was 122.6 months (111.7–131.9). Conclusions: We provided a benchmark for future studies on rectal cancer treatment. The present results can be used in decision-making for locally advanced rectal cancer patients.
Association between Reported Sleep Disorders and Behavioral Issues in Children with Myotonic Dystrophy Type 1—Results from a Retrospective Analysis in Italy
Authors: Trucco Federica , Lizio Andrea , Roma Elisabetta , di Bari Alessandra , Salmin Francesca , Albamonte Emilio , Casiraghi Jacopo , Pozzi Susanna , Becchiati Stefano , Antonaci Laura , Salvalaggio Anna , Catteruccia Michela , Tosi Michele , Marinella Gemma , Danti Federica R. , Bruschi Fabio , Veneruso Marco , Parravicini Stefano , Fiorillo Chiara , Berardinelli Angela , Pini Antonella , Moroni Isabella , Astrea Guja , Battini Roberta , D’Amico Adele , Ricci Federica , Pane Marika , Mercuri Eugenio M. , Johnson Nicholas E. , Sansone Valeria A.
Published: September 2024

Background: Sleep disorders have been poorly described in congenital (CDM) and childhood (ChDM) myotonic dystrophy despite being highly burdensome. The aims of this study were to explore sleep disorders in a cohort of Italian CDM and ChDM and to assess their association with motor and respiratory function and disease-specific cognitive and behavioral assessments. Methods: This was an observational multicenter study. Reported sleep quality was assessed using the Pediatric Daytime Sleepiness Scale (PDSS) and Pediatric Sleep Questionnaire (PSQ). Sleep quality was correlated to motor function (6 min walk test, 6MWT and grip strength; pulmonary function (predicted Forced Vital Capacity%, FVC% pred.); executive function assessed by BRIEF-2; autism traits assessed by Autism Spectrum Screening Questionnaire (ASSQ) and Repetitive Behavior Scale-revised (RBS-R); Quality of life (PedsQL) and disease burden (Congenital Childhood Myotonic Dystrophy Health Index, CCMDHI). Results: Forty-six patients were included, 33 CDM and 13 ChDM, at a median age of 10.4 and 15.1 years. Daytime sleepiness and disrupted sleep were reported by 30% children, in both subgroups of CDM and ChDM. Daytime sleepiness correlated with autism traits in CDM (p < 0.05). Disrupted sleep correlated with poorer executive function (p = 0.04) and higher disease burden (p = 0.03). Conclusions: Sleep issues are a feature of both CDM and ChDM. They correlate with behavioral issues and impact on disease burden.
Flap Monitoring Techniques: A Review
Authors: Rogoń Ignacy , Rogoń Agnieszka , Kaczmarek Mariusz , Bujnowski Adam , Wtorek Jerzy , Lachowski Filip , Jankau Jerzy
Published: September 2024

Postoperative tissue flap vitality monitoring enables early detection of clinical complications, allowing for intervention. Timely re-operation can prevent the need for extensive correction procedures, thus reducing healthcare costs and hospitalization time. Statistics show that monitoring can increase the success rate of flap survival to 95% or higher. However, despite the significant progress in monitoring techniques, major and minor complications, leading to the loss of the flap, still occur. This clinical application review aims to provide a comprehensive overview of the recent advancements and findings in flap surgery reconstructions, transplants, and systems for their postoperative assessment. The literature from the years 1925 to 2024 has been reviewed to capture previous and current solutions for monitoring flap vitality. Clinically acclaimed methods and experimental techniques were classified and reviewed from a technical and clinical standpoint. Physical examination, metabolism change, ultrasound method, and electromagnetic (EM) radiation-based measurement methods were carefully evaluated from the perspective of their considered applications. Guidelines aiding engineers in the future design and development process of monitoring systems were proposed. This paper provides a comprehensive overview of the monitoring techniques used in postoperative flap vitality monitoring. It also gives an overview of each approach and potential ways for future development.
Assessment of Cardiopulmonary Resuscitation Quality among Healthcare Providers: A Randomized Experimental Study of the Italian Resuscitation Council
Authors: Cucino Alberto , Babini Giovanni , Scapigliati Andrea , Ristagno Giuseppe
Published: September 2024

Background. The quality of cardiopulmonary resuscitation (CPR) is pivotal in improving the outcome of cardiac arrest. Nevertheless, there is evidence that even professional rescuers may deliver ineffective chest compressions (CCs). We sought to evaluate the impact of a CPR feedback device on the quality of CC performed by a supposedly highly trained and skilled population of attendees to the national annual congress of the Italian Resuscitation Council. Methods. A total of 202 congress attendees were enrolled to perform 2 min CC without feedback, followed by a 5 min rest and another 2 min interval of CC with feedback. Moreover, participants were randomly assigned to two study groups: “feedback later”, in which the first 2 min CCs were delivered without the feedback, and “feedback first”, in which the first 2 min CCs were aided by feedback. CPR quality has been analyzed in terms of the percentage of CC with adequate depth (CC, %), complete chest release (CR, %), and the CC rate (CC/min). Results. Approximately 60% of correct CCs were performed without feedback, which significantly increased to 79% with the use of feedback. In the “feedback later” group, the percentage of correctly performed CC and CR significantly increased during the second 2 min interval of CC with feedback (median value 51% vs. 86%, p < 0.0001 and 71% vs. 84%, p = 0.025, respectively). In the “feedback first” group, the percentage of correct CC remained stable during the two CC intervals (71% vs. 80%, p = 0.06), while CR was better without the help of the feedback (70% vs. 93%, p < 0.0001). CC/min was in the recommended range (100–120/min) in all the CC events. Conclusions. In this population of expected highly skilled CPR providers, the overall quality was inconsistent and, in many cases, did not reach guidelines recommendations. The use of a feedback device significantly improved the quality of CC. When the feedback device was used in the first CC attempt, it had a learning effect that was reflected in maintaining quality during the second CC series.
The Effectiveness of Individualized Oral Hygiene Education in Preventing Dental Diseases: A Clinical Study
Authors: Simon Fanni , Szabó Gyula , Orsós Mercédesz , Mijiritsky Eitan , Németh Orsolya
Published: September 2024

Background: Without mechanical cleaning, gingivitis can develop within three weeks. The first clinical sign is bleeding on positive probing. The accumulation of dental biofilm triggers an inflammatory gingival response. In the past decade, attention has focused mainly on interproximal areas and the use of customized interproximal toothbrushes. The aim of this study was to evaluate the effectiveness of individualized oral hygiene education and its role in dental disease prevention among patients with dental problems. Methods: Altogether, 102 patients, 38 males and 64 females, were included in the study. All patients were aged over 18 years. Before treatment, patients were clinically and radiologically examined, their full mouth plaque score (FMPS), full mouth bleeding score (FMBS), and bleeding on brushing (BOB) were recorded, and matrix-metalloproteinase-8 (MMP-8) was measured by using a chair-side MMP-8 measuring system. Patients in group A had gingivitis but no periodontal damage, and group B had periodontal damage. Patients in both groups were divided into four subgroups based on their toothbrushing habits and the oral health education they received. Three months after the initial examination, each patient was examined three more times (2, 4, and 12 weeks later). Results: It was concluded that subjects in groups A1 and B1 showed a significant reduction in BOB, MMP-8, FMBS, and FMPS levels after two weeks. Solo Prophylaxis (A1 and B1) remained a well-constructed protocol and caused the complete resolution of interdental inflammation after two weeks. Other subgroups achieved significant reductions only after 12 weeks. Conclusions: BOB and MMP-8 tests are valuable complements in preventive dentistry, and are able to detect potential pathological processes. The clinical relevance of BOB testing, in addition to FMBS, FMPS and gingival inflammation testing, can be demonstrated to patients, which may increase compliance.
The Effect of Glutathione on Development and Prognosis in Non-Muscle-Invasive Bladder Cancer
Authors: Gök Gamze , Küçük Tarık , Cimen Sertac , Gök Alper , Göktuğ Göksel , Erel Özcan , İmamoğlu Muhammet Abdurrahim
Published: September 2024

Background: Glutathione, along with its related enzymes, constitutes a key antioxidant defense mechanism against oxidative stress and cancer formation in the body. Among urological malignancies, bladder cancer ranks second following prostate cancer. Oxidative stress has significant involvement in the development and prognosis of bladder cancer. This investigation aimed to examine the impact of glutathione on prognosis in patients with non-muscle-invasive bladder cancer. Methods: This study included 98 patients with high grade non-muscle-invasive bladder cancer who had undergone intravesical Bacillus Calmette–Guérin therapy and 30 healthy controls with no history of uroepithelial carcinoma of the bladder. The patients with bladder cancer were evaluated in three subgroups. Group 1 consisted of 41 patients who did not experience recurrence during follow-up, Group 2 included 28 patients who had recurrent tumors, and Group 3 consisted of 29 patients who progressed to muscle-invasive stages. Blood samples were collected from all participants. Blood levels of reduced, oxidized, and total glutathione were measured spectrophotometrically. Results: Reduced glutathione levels significantly differed among the groups (p < 0.001), attributed to the control group exhibiting higher reduced glutathione levels compared with Groups 1, 2, and 3 (p < 0.001). There were no significant differences in reduced glutathione levels between Groups 1 and 2, Groups 1 and 3, or Groups 2 and 3 (p > 0.05). Total glutathione levels varied significantly among the groups (p < 0.001), with the control group having higher levels than Groups 1, 2, and 3 (p < 0.001). No significant differences were detected between any of the paired patient groups in terms of total glutathione levels (p > 0.05). Regarding oxidized glutathione levels, the difference was statistically significant (p < 0.001), with the control group showing lower levels than the remaining three groups (p < 0.001). Paired comparisons revealed no significant differences in oxidized glutathione levels (p > 0.05). Conclusions: This study revealed that glutathione had an effect on the emergence of bladder cancer but did not affect its prognosis. Nevertheless, we recommend that future studies with larger bladder cancer patient cohorts should be conducted to comprehensively determine the impact of glutathione on the prognosis of this cancer.
Development and Validation of Machine Learning Models to Predict Postoperative Delirium Using Clinical Features and Polysomnography Variables
Authors: Ha Woo-Seok , Choi Bo-Kyu , Yeom Jungyeon , Song Seungwon , Cho Soomi , Chu Min-Kyung , Kim Won-Joo , Heo Kyoung , Kim Kyung-Min
Published: September 2024

Background: Delirium affects up to 50% of patients following high-risk surgeries and is associated with poor long-term prognosis. This study employed machine learning to predict delirium using polysomnography (PSG) and sleep-disorder questionnaire data, and aimed to identify key sleep-related factors for improved interventions and patient outcomes. Methods: We studied 912 adults who underwent surgery under general anesthesia at a tertiary hospital (2013–2024) and had PSG within 5 years of surgery. Delirium was assessed via clinical diagnoses, antipsychotic prescriptions, and psychiatric consultations within 14 days postoperatively. Sleep-related data were collected using PSG and questionnaires. Machine learning predictions were performed to identify postoperative delirium, focusing on model accuracy and feature importance. Results: This study divided the 912 patients into an internal training set (700) and an external test set (212). Univariate analysis identified significant delirium risk factors: midazolam use, prolonged surgery duration, and hypoalbuminemia. Sleep-related variables such as fewer rapid eye movement (REM) episodes and higher daytime sleepiness were also linked to delirium. An extreme gradient-boosting-based classification task achieved an AUC of 0.81 with clinical variables, 0.60 with PSG data alone, and 0.84 with both, demonstrating the added value of PSG data. Analysis of Shapley additive explanations values highlighted important predictors: surgery duration, age, midazolam use, PSG-derived oxygen saturation nadir, periodic limb movement index, and REM episodes, demonstrating the relationship between sleep patterns and the risk of delirium. Conclusions: The artificial intelligence model integrates clinical and sleep variables and reliably identifies postoperative delirium, demonstrating that sleep-related factors contribute to its identification. Predicting patients at high risk of developing postoperative delirium and closely monitoring them could reduce the costs and complications associated with delirium.
Functional Tests of the Abdominal Wall Muscles in Normal Subjects and in Patients with Diastasis and Oblique Inguinal Hernias in a Pilot Study
Authors: Skvortsov Dmitry , Cherepanin Andrei , Fadeeva Yulia , Timonin Andrey , Nosenko Nataly
Published: September 2024

Objectives: To identify typical patterns of abdominal wall muscle activation in patients with diastasis recti and inguinal hernias compared to controls during the Valsalva maneuver, voluntary coughing, and physical activity. Methods: The study included 15 subjects: 5 with diastasis recti, 4 with inguinal hernias, and 6 healthy controls. The functions of rectus abdominis (RA) and external oblique (OE) muscles were measured by surface electromyography (sEMG). Using ultrasound, the thicknesses of the RA, OE, internal oblique (IO), and transversus abdominis (TA) muscles were assessed as well as the echo intensity (EI) of RA and OE. Results: We found a significant effect of the type of abdominal wall pathology on the maximum sEMG amplitude (p = 0.005). There was a reliable trend in maximum sEMG amplitude, with the highest one in diastasis recti and a significantly lower one in inguinal hernias. Duncan’s test showed a significant difference in muscle thickness, both on the right and left sides, between patients with diastasis and controls, but only on the left side between patients with diastasis and those with inguinal hernia (p < 0.05). Conclusions: The abdominal wall pathology results in a change in the function and structure of the abdominal muscles, which can be detected using electromyography and ultrasound examination. The presence of diastasis recti is accompanied by an increase in bioelectrical activity and a decrease in thickness.
Three-Dimensional Reconstruction of Indoor Scenes Based on Implicit Neural Representation
Authors: Lin Zhaoji , Huang Yutao , Yao Li
Published: September 2024

Reconstructing 3D indoor scenes from 2D images has always been an important task in computer vision and graphics applications. For indoor scenes, traditional 3D reconstruction methods have problems such as missing surface details, poor reconstruction of large plane textures and uneven illumination areas, and many wrongly reconstructed floating debris noises in the reconstructed models. This paper proposes a 3D reconstruction method for indoor scenes that combines neural radiation field (NeRFs) and signed distance function (SDF) implicit expressions. The volume density of the NeRF is used to provide geometric information for the SDF field, and the learning of geometric shapes and surfaces is strengthened by adding an adaptive normal prior optimization learning process. It not only preserves the high-quality geometric information of the NeRF, but also uses the SDF to generate an explicit mesh with a smooth surface, significantly improving the reconstruction quality of large plane textures and uneven illumination areas in indoor scenes. At the same time, a new regularization term is designed to constrain the weight distribution, making it an ideal unimodal compact distribution, thereby alleviating the problem of uneven density distribution and achieving the effect of floating debris removal in the final model. Experiments show that the 3D reconstruction effect of this paper on ScanNet, Hypersim, and Replica datasets outperforms the state-of-the-art methods.
A Toolpath Generator Based on Signed Distance Fields and Clustering Algorithms for Optimized Additive Manufacturing
Authors: Karakoç Alp
Published: September 2024

Additive manufacturing (AM) methods have been gaining momentum because they provide vast design and fabrication possibilities, increasing the accessibility of state-of-the-art hardware through recent developments in user-friendly computer-aided drawing/engineering/manufacturing (CAD/CAE/CAM) tools. However, in comparison to the conventional manufacturing methods, AM processes have some disadvantages, including the machining precision and fabrication process times. The first issue has been mostly resolved through the recent advances in manufacturing hardware, sensors, and controller systems. However, the latter has been widely investigated by researchers with different toolpath planning perspectives. As a contribution to these investigations, the present study proposes a toolpath planning method for AM, which aims to provide highly continuous yet distance-optimized solutions. The approach is based on the utilization of the signed distance field (SDF), clustering, and minimization of toolpath distances among cluster centroids. The method was tested on various geometries with simple closed curves to complex geometries with holes, which provides effective toolpaths, e.g., with relative distance reduction percentages up to 16.5% in comparison to conventional rectilinear infill patterns.
Pitching Stabilization Control for Super Large Ships Based on Double Nonlinear Positive Feedback under Rough Sea Conditions
Authors: Song Chunyu , Qiao Qi , Sui Jianghua
Published: September 2024

Due to the rapid development of a global navigation satellite system and the rapid growth of ships, the traditional control algorithms are not suitable; hence, the longitudinal rocking phenomenon generated by external disturbances is more serious when a ship is sailing. This paper takes a mathematical model of the super large oil tanker “KVLCC2”’s longitudinal motion as the controlled plant, establishing a multi-input multi-output instability control system, using the root trajectory shaping method and a weighting matrix to ensure the stability of its transfer function’s mathematical model. An improved closed-loop gain-shaping algorithm is utilized to design a simple robust controller. And a dual nonlinear positive feedback control algorithm is added to the control system to further improve the controller’s pitching stabilization performance and reduce the controller’s output energy. In order to verify that the controller has a consistently strong robustness, simulation experiments are carried out by adding a level 6, 7 and 8 wind wave model and a perturbation link to the control system, respectively. The results show that when the value of the hysteresis constant is taken as 0.25, the output values of the heave displacement and the pitch angle are greatly reduced, and the longitudinal rocking phenomenon is significantly improved. The dual nonlinear positive feedback control algorithm enhances the ship’s pitching stabilization control capability and further reduces the controller’s output energy, which provides technical support for the smooth and efficient sailing of super large ships under changing sea conditions. Combined with a global navigation satellite system, this algorithm provides a new method for pitching stabilization control of super large ships.
Evaluation of a Multivariate Calibration Model for the WET Sensor That Incorporates Apparent Dielectric Permittivity and Bulk Soil Electrical Conductivity
Authors: Petsetidi Panagiota Antonia , Kargas George
Published: September 2024

The measurement of apparent dielectric permittivity (εs) by low-frequency capacitance sensors and its conversion to the volumetric water content of soil (θ) through a factory calibration is a valuable tool in precision irrigation. Under certain soil conditions, however, εs readings are substantially affected by the bulk soil electrical conductivity (ECb) variability, which is omitted in default calibration, leading to inaccurate θ estimations. This poses a challenge to the reliability of the capacitance sensors that require soil-specific calibrations, considering the ECb impact to ensure the accuracy in θ measurements. In this work, a multivariate calibration equation (multivariate) incorporating both εs and ECb for the determination of θ by the capacitance WET sensor (Delta-T Devices Ltd., Cambridge, UK) is examined. The experiments were conducted in the laboratory using the WET sensor, which measured θ, εs, and ECb simultaneously over a range of soil types with a predetermined actual volumetric water content value (θm) ranging from θ = 0 to saturation, which were obtained by wetting the soils with four water solutions of different electrical conductivities (ECi). The multivariate model’s performance was evaluated against the univariate CAL and the manufacturer’s (Manuf) calibration methods with the Root Mean Square Error (RMSE). According to the results, the multivariate model provided the most accurate θ estimations, (RMSE ≤ 0.022 m3m−3) compared to CAL (RMSE ≤ 0.027 m3m−3) and Manuf (RMSE ≤ 0.042 m3m−3), across all the examined soils. This study validates the effects of ECb on θ for the WET and recommends the multivariate approach for improving the capacitance sensors’ accuracy in soil moisture measurements.
Measuring Change in Urban Land Consumption: A Global Analysis
Authors: Angel Shlomo , Mackres Eric , Guzder-Williams Brookie
Published: September 2024

An issue of concern in landscape and urban planning, articulated in the United Nation’s (UN’s) Sustainable Development Goals (SDGs), is the increase in urban land consumption over time. Indicator 11.3.1 of the SDGs is dedicated to measuring it, underlining the importance of decreasing urban land consumption per person, a strategy that is understood to contribute positively to climate mitigation and to a host of other social, economic, and environmental objectives. This article aims to explore the practical implications of the official methods for measuring Indicator 11.3.1, as well as two alternatives, and to calculate and compare the global and regional trends of these indicators for the 2000–2020 period for a universe of 3470 cities and metropolitan areas that had 100,000 people or more in the year 2020. Built-up area and population data for this universe were obtained from the Global Human Settlements Layer (GHS-BUILT-S and GHS-POP) published by the European Commission. We applied methods adapted from New York University’s Atlas of Urban Expansion to map the urban extents of all cities in 2000 and 2020, and then we used these urban extents, the built-up areas, and population estimates within them to calculate values for Indicator 11.3.1 and for two alternative indicators for the 2000–2020 period. We found that the current definition of Indicator 11.3.1 of the SDGs—“Ratio of land consumption rate to population growth rate”—has significant limitations in conveying meaningful information and interpretability for practical applications. We suggest two alternative indicators that address these shortcomings: the rate of change of land consumption per person and the rate of density change. Our analysis found that, for the world at large, urban densities declined at an annual rate of 0.5–0.7% between 2000 and 2020, with significant variation in the direction and magnitude of density trends by world region. Additionally, we found density declines to be faster in smaller cities than in larger ones and faster in cities with slower population growth or population declines compared to those with more rapid population growth.
Analysis of the Spatial Characteristics and Influencing Factors of Large-Scale Land Acquisition Projects in Southeast Asia
Authors: Han Jing , Han Xiaoting , Pan Zichun
Published: September 2024

Southeast Asia is an essential region for companies carrying out large-scale land acquisitions (LSLAs). Exploring the distribution patterns and influencing factors of LSLA projects in this region is of great practical significance for summarizing the characteristics of LSLA projects in Southeast Asia, for gaining a thorough understanding of LSLA project development rules, and for formulating reasonable policies to guide local LSLA projects. This study explores the spatial distribution and influencing factors of LSLA projects in Southeast Asia using the mean center method, the kernel density estimation method, and the grey correlation method. The findings indicate the following: Firstly, the majority of LSLA projects in Southeast Asia are located in the Indo-China Peninsula, Cambodia, Myanmar, Laos, and other countries, which represent significant regions of interest for LSLA projects in this region. Secondly, the spatial distribution of LSLA intention projects and LSLA contract projects in Southeast Asia is similar, whereas LSLA production projects differ from the former two. Thirdly, the scale of LSLA projects in Southeast Asia is closely related to the host country’s natural resources, socio-economic conditions, governance, and market environment. The total GDP, per capita arable land area, net foreign direct investment inflow, and political stability have been identified as exerting a significant influence on investment corporations’ selection of LSLA host countries.
Therapeutic Effects of Natural Products on Human Diseases
Authors: Lee Seung-Ho
Published: September 2024

Natural products have long served as potential sources of therapeutic drugs [...]
A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components
Authors: Gonzalez-Delgado Daniel , Jaen-Sola Pablo , Oterkus Erkan
Published: September 2024

An integrated structural optimization strategy was produced in this study for direct-drive electrical generator structures of offshore wind turbines, implementing a design for an additive manufacturing approach, and using generative design techniques. Direct-drive configurations are widely implemented on offshore wind energy systems due to their high efficiency, reliability, and structural simplicity. However, the greatest challenge associated with these types of machines is the structural optimization of the electrical generator due to the demanding operating conditions. An integrated structural optimization strategy was developed to assess a 100-kW permanent magnet direct-drive generator structure. Generated topologies were evaluated by performing finite element analyses and a metal additive manufacturing process simulation. This novel approach assembles a vast amount of structural information to produce a fit-for-purpose, adaptative, optimization strategy, combining data from static structural analyses, modal analyses, and manufacturing analyses to automatically generate an efficient model through a generative iterative process. The results obtained in this study demonstrate the importance of developing an integrated structural optimization strategy at an early phase of a large-scale project. By considering the typical working condition loads and the machine’s dynamic behavior through the structure’s natural frequencies during the optimization process coupled with a design for an additive manufacturing approach, the operational range of the wind turbine was maximized, the overall costs were reduced, and production times were significantly diminished. Integrating the constraints associated with the additive manufacturing process into the design stage produced high-efficiency results with over 23% in weight reduction when compared with conventional structural optimization techniques.
Efficiency of Bevel and Hypoid Gears—Test Rig Development and Experimental Investigations
Authors: Constien Lorenz , Weber Martin , Pellkofer Josef , Stahl Karsten
Published: September 2024

The efficiency of bevel and hypoid gears is, alongside load capacity, one of their most important design criteria. To consider the efficiency of bevel and hypoid gears during the development and design process, validated calculation methods based on experimental investigations are necessary. However, the isolated experimental investigation of the load-dependent power losses of bevel and hypoid gears has not been adequately investigated, as most of the experimental investigations consider the complete gearbox. This paper presents a test rig that allows for the experimental investigation of the efficiency of bevel and hypoid gears with a measurement uncertainty of the efficiency of ∆η≤±0.08% according to the Guide to the Expression of Uncertainty in Measurement (GUM). Using the developed test rig, experimental investigations on the efficiency behavior of bevel and hypoid gears regarding the influence of the axial offset, driving direction, and microgeometry are carried out for different operating points varying in circumferential speed and load. This paper discusses the methodology and the first experimental results of a study on the efficiency of bevel and hypoid gears in detail.
Experimental Determination of Influences of Static Eccentricities on the Structural Dynamic Behavior of a Permanent Magnet Synchronous Machine
Authors: Müller Julius , Franck Marius , Jansen Kevin , Höpfner Gregor , Berroth Jörg , Jacobs Georg , Hameyer Kay
Published: September 2024

In electrified vehicles, the masking noise behavior of internal combustion engines is absent, making the tonal excitation of the electric machine particularly noticeable in vehicle acoustics, which is perceived as disturbing by consumers. Due to manufacturing tolerances, the tonal NVH characteristics of the electric machine are significantly influenced at wide frequency ranges. This paper presents a systematic exploration of the influence of static eccentricity as one manufacturing tolerance on the NVH behavior of Permanent Magnet Synchronous Machines (PMSMs). The study utilizes a novel test bench setup enabling isolated variations in static eccentricity of up to 0.2 mm in one PMSM. Comparative analysis of acceleration signals reveals significant variations in the dominance of excitation orders with different eccentricity states, impacting critical operating points and dominant frequency rages of the electric machine. Despite experimentation, no linear correlation is observed between increased eccentricity and changes in acceleration behavior. Manufacturing eccentricity and deviations in rotor magnetization are discussed as potential contributors to the observed effects. The findings emphasize static eccentricity as a critical parameter in NVH optimization, particularly in electrified powertrains. However, the results indicate that further investigations are needed to explore the influence of eccentricities and magnetization deviations on NVH behavior comprehensively.
Graded Weakly Strongly Quasi-Primary Ideals over Commutative Graded Rings
Authors: Alshehry Azzh Saad , Abu-Dawwas Rashid , Hawary Basel
Published: September 2024

In this article, we introduce and examine the concept of graded weakly strongly quasi primary ideals. A proper graded ideal P of R is said to be a graded weakly strongly quasi primary (shortly, Gwsq-primary) ideal if whenever 0≠xy∈P, for some homogeneous elements x,y∈R, then x2∈P or yn∈P, for some positive integer n. Many examples and properties of Gwsq-primary ideals are given. Among several results, we compare Gwsq-primary ideals and other classical graded ideals such as graded strongly quasi primary ideals, graded weakly primary ideals and graded weakly 2-prime ideals etc.
Application of Weighting Algorithm for Enhanced Broadband Vector Network Analyzer Measurements
Authors: Shin Sang-hee , Skinner James
Published: September 2024

A weighting algorithm for application in the Thru-Reflect-Line (TRL) calibration technique is presented to enhance the accuracy and reliability of vector network analyzer (VNA) measurements over broad frequency bands. The method addresses the inherent limitations of the traditional TRL calibration, particularly the step changes observed in banded-TRL approaches when multiple Line standards are used. By introducing a bespoke weighting function that assigns phase-dependent weights to each Line standard, smoother transitions and improved S-parameter measurements can be achieved. Experimental validation using measurements of both 3.5 mm and Type-N devices demonstrates the effectiveness of the weighted-TRL method in eliminating discontinuities and calibration artifacts across a wide range of frequencies. The results reveal the improved calibration of S-parameters this approach can yield compared to traditional TRL calibration methods. The developed weighted-TRL calibration technique offers a significant advancement in metrology-grade measurements, enabling more precise characterization of high-frequency devices across broad frequency bands. By mitigating a key limitation of the TRL calibration, this method provides a valuable tool for enhancing the accuracy and reliability of VNA measurements for precision metrology applications.