bluuebunny/crossref_metadata_2025 huggingface dataset:
Rehabilitation delivery models to foster healthy ageing—a scoping review
Authors: Seijas Vanessa , Maritz Roxanne , Fernandes Patricia , Bernard Renaldo M. , Lugo Luz Helena , Bickenbach Jerome , Sabariego Carla
Published: April 2024

Introduction

Rehabilitation is essential to foster healthy ageing. Older adults have unique rehabilitation needs due to a higher prevalence of non-communicable diseases, higher susceptibility to infectious diseases, injuries, and mental health conditions. However, there is limited understanding of how rehabilitation is delivered to older adults. To address this gap, we conducted a scoping review to describe rehabilitation delivery models used to optimise older adults' functioning/functional ability and foster healthy ageing.

Methods

We searched Medline and Embase (January 2015 to May 2022) for primary studies published in English describing approaches to provide rehabilitation to older adults. Three authors screened records for eligibility and extracted data independently and in duplicate. Data synthesis included descriptive quantitative analysis of study and rehabilitation provision characteristics, and qualitative analysis to identify rehabilitation delivery models.

Results

Out of 6,933 identified records, 585 articles were assessed for eligibility, and 283 studies with 69,257 participants were included. We identified six rehabilitation delivery models: outpatient (24%), telerehabilitation (22%), home (18.5%), community (16.3%), inpatient (14.6%), and eldercare (4.7%). These models often involved multidisciplinary teams (31.5%) and follow integrated care principles (30.4%). Most studies used a disease-centred approach (59.0%), while studies addressing multimorbidity (6.0%) and prevalent health problems of older adults, such as pain, low hearing, and vision, or incontinence were scarce. The most frequently provided interventions were therapeutic exercises (54.1%), self-management education (40.1%), and assessment of person-centred goals (40%). Other interventions, such as assistive technology (8.1%) and environmental adaptations (7.4%) were infrequent.

Conclusions

Focusing on primary studies, this scoping review provides an overview of rehabilitation delivery models that are used to foster healthy ageing and highlights research gaps that require further attention, including a lack of systematic assessment of functioning/functional ability, a predominance of disease-centred rehabilitation, and a scarcity of programmes addressing prevalent issues like pain, hearing/vision loss, fall prevention, incontinence, and sexual dysfunctions. Our research can facilitate evidence-based decision-making and inspire further research and innovation in rehabilitation and healthy ageing. Limitations of our study include reliance on published research to infer practice and not assessing model effectiveness. Future research in the field is needed to expand and validate our findings.
Tangible document sharing: handing over paper documents across a videoconferencing display
Authors: Tanaka Kazuaki , Oshiro Kentaro , Yamashita Naomi , Nakanishi Hideyuki
Published: April 2024

Conventional techniques for sharing paper documents in teleconferencing tend to introduce two inconsistencies: 1) media inconsistency: a paper document is converted into a digital image on the remote site; 2) space inconsistency: a workspace deliberately inverts the partner’s handwriting to make a document easy to read. In this paper, we present a novel system that eliminates these inconsistencies. The media and space inconsistencies are resolved by reproducing a real paper document on a remote site and allowing a user to handover the paper document to a remote partner across a videoconferencing display. From a series of experiments, we found that reproducing a real paper document contributes to a higher sense of information sharing. We also found that handing over a document enhances a sense of space sharing, regardless of whether the document is digital or paper-based. These findings provide insights into designing systems for sharing paper documents across distances.
Solving the Puzzle of Ecosystem Recovery
Authors: Bayat Helena S. , Enß Julian , Escobar-Sierra Camilo , Gillmann Svenja M. , Khaliq Shaista , Kuppels Annabel , Madariaga Graciela M. , Peters Kristin , Schlenker Alexandra , Hering Daniel , Vos Matthijs
Published: April 2024

Human activities, past and present, have a big impact on nature, affecting ecosystems in profound ways. Scientists are working hard to figure out the best methods to restore damaged ecosystems. But ecosystem restoration often does not go as planned, resulting in very different ecosystems than before. For example, some animals that used to live in an ecosystem can take a long time to return or do not come back at all. To understand the complexities of ecosystem recovery, scientists have come up with a theory called the asymmetric response concept (ARC), to understand how ecosystems recover. The ARC helps us describe the various responses that can happen after ecosystem damage and why the responses happen that way. Once we understand these responses, we can help ecosystems become healthy again. By learning how organisms rejoin damaged ecosystems, we can better protect our environment for the future.
Mindful monitoring and accepting the body in physical activity mediates the associations between physical activity and positive body image in a sample of young physically active adults
Authors: Jankauskiene Rasa , Baceviciene Migle
Published: April 2024

Introduction

The study aimed to extend research on the possible mechanisms that explain the associations between physical activity (PA), mindfulness during PA and positive body image. In the present study, we tested the mediating role of state mindfulness during PA in the association between PA and trait body appreciation. We also explored the moderating roles of sex and body mass index (BMI) in these associations.

Methods

In total, 759 students participated in the study but after applying the inclusion criteria 539 questionnaires were approved for analysis, with a mean age of 23.3 ± 7.2 years (49.7% were women). Study participants completed the online survey, which included sociodemographic details, PA data, the State Mindfulness Scale for Physical Activity 2 (SMS-PA-2) and the Body Appreciation Scale 2 (BAS-2).

Results

Monitoring and accepting the body during exercise mediated the association between PA and body appreciation. BMI moderated the association between accepting the body during exercise and body appreciation: for heavier individuals with BMI > 24.99 kg/m2, the associations between accepting the body during exercise and body appreciation were higher (B = 0.53,p < 0.001) compared to those whose body weight was in the normal range (B = 0.21,p < 0.001).

Conclusion

Strengthening mindfulness and promoting mindful body acceptance during exercise might enhance a positive body image, especially in individuals with a higher BMI.
Atrial lead perforation early after device implantation—a case report and literature review
Authors: Wang Zefeng , Yuan Zhongyu , Li Haiwei , Zhang Ke , Zhang Hongkai , Li Xiaoyan , Wang Changhua , Tian Yilun , Shen Yiqing , Zhang Xiaoping , Wu Yongquan
Published: April 2024

We report three patients with screw-in lead perforation in the right atrial free wall not long after device implantation. All the patients complained of intermittent stabbing chest pain associated with deep breathing during the implantation. The “dry” epicardial puncture was utilized to avoid hemopericardium during lead extraction in the first case. The atrial electrode was repositioned in all cases and replaced by a new passive fixation lead in two patients with resolution of the pneumothorax or pericardial effusion. A literature review of 50 reported cases of atrial lead perforation was added to the findings in our case report.
A retrospective study of paraganglioma of the urinary bladder and literature review
Authors: Zhao Yi , Zhang Zhijun , Wang ShiJun , Wen Jin , Wang Dong , Ji ZhiGang , Zhang YuShi , Li HanZhong
Published: April 2024

Objective

To review and summarize the characteristics and therapy of paraganglioma of the urinary bladder (PUB).

Method

Patients who underwent the operation in Peking Union Medical College Hospital between January 2012 and December 2021 were reviewed for this retrospective study.

Results

A total of 29 patients, comprising 9 (31%) men and 20 (69%) women, were included. The main manifestations were hypertension, palpitation, and micturition syncope. Eight patients had an increased 24-h urinary catecholamine, and seven of them had increased norepinephrine. Normetanephrine in seven patients was increased. Six of 18 metaiodobenzylguanidine and 8 of 22 octreotide scans were positive. In total, 15 cases underwent laparoscopic partial cystectomy and 14 underwent transurethral resection of bladder tumor. In all patients, the immunohistochemical index of Melan-A, AE1/AE3, and α-inhibin were negative, and chromogranin A, S-100, and succinate dehydrogenase were positive. The Ki-67 of 28/29 cases was under 5%, and 1 case with a Ki-67 of 20% was diagnosed with malignant PUB. A total of 27 patients had a regular follow-up, 2 patients were lost during the follow-up, 3 patients had a recurrence, and 1 of these patients died within 1 year of surgery. The symptoms all disappeared or were relieved after the surgery.

Conclusion

The transurethral surgery approach fits PUB tumors with a size <3 cm or that protrudes into the bladder and can significantly reduce the postoperative hospital stay. Early detection and treatment are effective, and regular review is necessary after the surgery.
Understanding Vietnamese chicken farmers’ knowledge and practices related to antimicrobial resistance using an item response theory approach
Authors: Nohrborg Sandra , Nguyen-Thi Thinh , Xuan Huyen Nguyen , Lindahl Johanna , Boqvist Sofia , Järhult Josef D. , Magnusson Ulf
Published: April 2024

Introduction

Antimicrobial resistance (AMR) poses a threat to animal and human health, as well as food security and nutrition. Development of AMR is accelerated by over- and misuse of antimicrobials as seen in many livestock systems, including poultry production. In Vietnam, high AMR levels have been reported previously within poultry production, a sector which is dominated by small-scale farming, even though it is intensifying. This study focuses on understanding small- and medium-scale chicken farmers’ knowledge and practices related to AMR by applying an item response theory (IRT) approach, which has several advantages over simpler statistical methods.

Methods

Farmers representing 305 farms in Thai Nguyen province were interviewed from November 2021 to January 2022, using a structured questionnaire. Results generated with IRT were used in regression models to find associations between farm characteristics, and knowledge and practice levels.

Results

Descriptive results showed that almost all farmers could buy veterinary drugs without prescription in the local community, that only one third of the farmers received veterinary professional advice or services, and that the majority of farmers gave antibiotics as a disease preventive measure. Regression analysis showed that multiple farm characteristics were significantly associated to farmers’ knowledge and practice scores.

Conclusion

The study highlights the complexity when tailoring interventions to move towards more medically rational antibiotic use at farms in a setting with high access to over-the-counter veterinary drugs and low access to veterinary services, since many on-farm factors relevant for the specific context need to be considered.
Animal health emergencies: a gender-based analysis for planning and policy
Authors: Carlin Ellen , Standley Claire E. , Hardy Emily , Donachie Daniel , Brand Tianna , Greve Lydia , Fevre Sonia , Wenham Clare
Published: April 2024

There has been increasing recognition of gender-based inequity as a barrier to successful policy implementation. This consensus, coupled with an increasing frequency of emergencies in human and animal populations, including infectious disease events, has prompted policy makers to re-evaluate gender-sensitivity in emergency management planning. Seeking to identify key publications relating to gendered impacts and considerations across diverse stakeholders in different types of animal health emergencies, we conducted a non-exhaustive, targeted scoping review. We developed a matrix for both academic and policy literature that separated animal health emergencies into two major categories: humanitarian crises and infectious disease events. We then conducted semi-structured interviews with key animal health experts. We found minimal evidence of explicit gender responsive planning in animal health emergencies, whether humanitarian or infectious disease events. This was particularly salient in Global North literature and policy planning documents. Although there are some references to gender in policy documents pertaining to endemic outbreaks of African swine fever (ASF) in Uganda, most research remains gender blind. Despite this, implicit gendered themes emerged from the literature review and interviews as being direct or indirect considerations of some research, policy, and implementation efforts: representation; gendered exposure risks; economic impact; and unpaid care. Absent from both the literature and our conversations with experts were considerations of mental health, gender-based violence, and intersectional impacts. To remedy the gaps in gender-based considerations, we argue that the intentional inclusion of a gender transformative lens in animal health emergency planning is essential. This can be done in the following ways: (1) collection of disaggregated data (race, gender, sexual orientation, etc.); (2) inclusion of gender experts; and (3) inclusion of primary gendered impacts (minimal representation of women in policy positions, gender roles, economic and nutrition impacts) and secondary gendered impacts (gender-based violence, mental health, additional unpaid care responsibilities) in future planning.
Isolation, genome analysis and comparison of a novel parainfluenza virus 5 from a Siberian tiger (Panthera tigris)
Authors: Zhou Niu , Chen Liang , Wang Chen , Lv Mengna , Shan Fen , Li Wanping , Wu Yajiang , Du Xueqing , Fan Jinli , Liu Minting , Shi Menghan , Cao Jingjing , Zhai Junqiong , Chen Wu
Published: April 2024

Paramyxoviruses are important pathogens affecting various animals, including mammals and humans. Parainfluenza virus 5 (PIV5)—a member of the family Paramyxoviridae—is a major threat to the health of mammals and humans. However, studies on terrestrial wild animals infected with PIV5 are scanty. In this study, we utilized reverse transcription PCR to detect PIV5 infection in the visceral organ tissues of a Siberian tiger (Panthera tigris ssp. altaica) with vomiting, diarrhea, and dyspnea before its death. A novel PIV5 (named SR strain) with a slowly progressive cytopathic effect was isolated in Vero cells and validated using a transmission electron microscope. Full-length sequencing and analysis revealed that the whole genome of the PIV5 SR strain contained 15,246 nucleotides (nt) and seven non-overlapping genes (3’-N-V/P-M-F-SH-HN-L-5′) encoding eight proteins. Phylogenetic analysis of three PIV5 strains identified in the same zoo confirmed that PIV5 strains SR and ZJQ-221 shared the closest genetic relationship as they were clustered in the same branch, while the recently found Siberian tiger strain SZ2 kept a certain distance and formed a relatively unique branch. Furthermore, mutations of nt and amino acids (aa) between strains ZJQ-221, SR, and SZ2 were identified. In summary, we report the identification and genomic characterization of a novel PIV5 strain SR isolated in a Siberian tiger, which may help future research on interspecific transmission mechanisms.
American crocodiles (Crocodylus acutus: Reptilia: Crocodilidae) visiting the facilities of a freshwater aquaculture of the Northern Pacific region, Costa Rica, carry tetracycline-resistant Escherichia coli
Authors: Mateus-Vargas Rafael Hernán , Arias-Pérez Verónica , Sandoval-Hernández Iván , Hammerl Jens Andre , Barquero-Calvo Elías
Published: April 2024

Apex predators are exposed to antimicrobial compounds and resistant microbes, which accumulate at different trophic levels of the related ecosystems. The study aimed to characterize the presence and the antimicrobial resistance patterns of fecal Escherichia coli isolated from cloacal swab samples obtained from wild-living American crocodiles (Crocodylus acutus) (n = 53). Sampling was conducted within the distinctive context of a freshwater-intensive aquaculture farm in Costa Rica, where incoming crocodiles are temporarily held in captivity before release. Phenotypic antimicrobial susceptibility profiles were determined in all isolates, while resistant isolates were subjected to whole-genome sequencing and bioinformatics analyses. In total, 24 samples contained tetracycline-resistant E. coli (45.3%). Isolates carried either tet(A), tet(B), or tet(C) genes. Furthermore, genes conferring resistance to ß-lactams, aminoglycosides, fosfomycin, sulfonamides, phenicol, quinolones, trimethoprim, and colistin were detected in single isolates, with seven of them carrying these genes on plasmids. Genome sequencing further revealed that sequence types, prevalence of antibiotic resistance carriage, and antibiotic resistance profiles differed between the individuals liberated within the next 24 h after their capture in the ponds and those liberated from enclosures after longer abodes. The overall presence of tetracycline-resistant E. coli, coupled with potential interactions with various anthropogenic factors before arriving at the facilities, hinders clear conclusions on the sources of antimicrobial resistance for the studied individuals. These aspects hold significant implications for both the aquaculture farm’s biosecurity and the planning of environmental monitoring programs using such specimens. Considering human-crocodile conflicts from the One Health perspective, the occurrence of antimicrobial resistance underscores the importance of systematical surveillance of antibiotic resistance development in American crocodiles.
Research on Mechanical Leg Structure Design and Control System of Lower Limb Exoskeleton Rehabilitation Robot Based on Magnetorheological Variable Stiffness and Damping Actuator
Authors: Zhao Chenglong , Liu Zhen , Zheng Chongsong , Zhu Liucun , Wang Yuefei
Published: April 2024

During the walking process of lower limb exoskeleton rehabilitation robots, inevitable collision impacts will occur when the swinging leg lands on the ground. The impact reaction force from the ground will induce vibrations in the entire robot’s body from bottom to top. To address this phenomenon, considering the limitations of traditional active compliance and passive compliance methods, a variable stiffness and damping actuator (VSDA) leg structure using a magnetorheological damper (MRD) is proposed. Firstly, experimental methods are used to obtain the ground reaction force (GRF) exerted on a normal person during walking. Then, a mathematical model of the VSDA leg structure is constructed, and its working principle is analyzed. Based on human mass and dimensions, a 3D model is designed and selected. Finally, a simulation model is built in the MATLAB/Simulink environment using the fuzzy switch damping control strategy to simulate the acceleration and displacement of the human body under sinusoidal and random excitations. The results indicate that under sinusoidal excitation, employing fuzzy switch damping control optimizes human displacement by 72.47% compared to the high stiffness and high damping system, and by 16.95% compared to the switch damping system. Human acceleration is optimized by 52.09% compared to the high stiffness and high damping system, and by 25.2% compared to the switch damping system. Under random excitation, adopting fuzzy switch damping control optimizes human displacement by 59.09% compared to the high stiffness and high damping system, and by 21.74% compared to the switch damping system. Human acceleration is optimized by 78.74% compared to the high stiffness and high damping system, and by 31.66% compared to the switch damping system. This validates the VSDA design structure and control method, demonstrating certain advantages in improving the compliance and stability of lower limb exoskeleton rehabilitation robots.
Radio Science Experiments during a Cruise Phase to Uranus
Authors: di Stefano Ivan , Durante Daniele , Cappuccio Paolo , Racioppa Paolo
Published: April 2024

The exploration of Uranus, a key archetype for ice giant planets and a gateway to understanding distant exoplanets, is acquiring increasing interest in recent years, especially after the Uranus Orbiter and Probe (UOP) mission has been prioritized in the Planetary Science Decadal Survey 2023–2032. This paper presents the results of numerical simulations aimed at providing experimental constraints on the parameterized post-Newtonian (PPN) parameter γ, a measure of space–time curvature in general relativity (GR), during the cruise phase of a spacecraft travelling to Uranus. Leveraging advanced radio tracking systems akin to those aboard the JUICE and BepiColombo missions, we explore the potential of solar conjunction experiments (SCEs) to refine current measurements of γ by exploiting the spacecraft’s long journey in the outer Solar System. We discuss the anticipated enhancements over previous estimates, underscoring the prospect of detecting violations of GR. Our simulations predict that by using an advanced radio tracking system, it is possible to obtain an improvement in the estimation of γ up to more than an order of magnitude with respect to the latest measurement performed by the Cassini–Huygens mission in 2002, contingent on the calibration capabilities against solar plasma noise. The results reveal that a number of SCEs during the mission can substantially strengthen the validation of GR. In tandem with fundamental physics tests, the use of radio links during SCEs presents a valuable opportunity to dissect the solar corona’s plasma dynamics, contributing to solar physics and space weather forecasting. This paper also enumerates methodologies to analyze electron density, localize plasma features, and deduce solar wind velocity, enriching the scientific yield of the experiments beyond the primary objective of testing GR during the cruise phase of a mission to Uranus.
Effects of Polyethylene Microplastics in Agricultural Soil on Eisenia fetida (Annelida: Oligochaeta) Behavior, Biomass, and Mortality
Authors: Baloš Milica , Petrović Aleksandra , Tubić Aleksandra , Zeremski Tijana , Gvozdenac Sonja , Supić Dejan , Bursić Vojislava
Published: April 2024

The presence of microplastic particles in agroecosystems has profound implications for soil quality, crop yield, and soil biota. Earthworms are widely recognized as valuable soil bioindicators due to their abundance, fast reproduction, and easy manipulation. The aim of this study was to observe Eisenia fetida avoidance behavior and changes in biomass and mortality rate in soil samples spiked with polyethylene microplastic particles. Three types of soil sampled from the agricultural fields (“Banat 1”, “Banat 2”, and “Bačka”) were tested, as well as three microplastic concentrations (0.1, 0.2, and 0.3%). The calculated avoidance percentages ranged from 18.67% for “Banat 1” and 23.70% for “Banat 2” to 27.40% in the case of “Bačka” soil samples. Generally, E. fetida specimens avoided the sections with plastic in all bioassays: 38.42% of the earthworms were in the chamber section that contained microplastics, as opposed to 61.58% in the control section. The changes in the earthworms’ post-test biomasses were directly proportional to the number of surviving earthworms, with the highest loss in “Bačka” soil samples with 0.3% MPs (−53.05%). The highest mortality rate (46%) was noted in “Bačka” soil samples spiked with the highest concentration of microplastic particles.
Adaptation Mechanisms of Olive Tree under Drought Stress: The Potential of Modern Omics Approaches
Authors: Nteve Georgia-Maria , Kostas Stefanos , Polidoros Alexios N. , Madesis Panagiotis , Nianiou-Obeidat Irini
Published: April 2024

Olive (Olea europaea L.) is a crop of enormous economic and cultural importance. Over the years, the worldwide production of olive oil has been decreasing due to various biotic and abiotic factors. The current drop in olive oil production resulting from climate change raises concerns regarding the fulfillment of our daily demand for olive oil and has led to a significant increase in market prices. In the future, there will be a higher chance that we will face a severe shortage of olive oil, which could harm both the economic sector and the food supply. As olive groves cover more than 5 million hectares in the European Union alone, the need to preserve the crop in the context of extreme climatic events is imperative. As drought is considered one of the most limiting factors in agriculture, drought-resistant varieties and sustainable irrigation strategies are being developed to mitigate the impact of drought on crop productivity and secure the future supply of olive oil. This review focuses on recently gained insights into drought stress in olive trees through omics and phenomics approaches to unravelling mechanisms that may lead to developing new varieties that are tolerant against drought elicited by changes in growing systems.
Meropenem–Vaborbactam for the Treatment of Post-Neurosurgical Meningitis Caused by KPC Producer Klebsiella Pneumoniae: A Case Report and Review of the Literature
Authors: Rezzonico Leonardo Francesco , Peracchi Francesco , Vecchi Marta , Bassi Gabriele , Merli Marco , Bana Nicholas Brian , Travi Giovanna , Crippa Fulvio , Puoti Massimo
Published: April 2024

Meningitis and ventriculitis, due to carbapenem-resistant Enterobacterales, are frequently associated with significant morbidity and mortality. In the case of multi-drug-resistant pathogens, it is necessary to consider the limited susceptibility profile as well as the penetration of the antimicrobials into the brain. Limited data are available regarding the treatment of central nervous system infections caused by carbapenem-resistant Enterobacterales. We report a study of a patient treated with meropenem–vaborbactam in the case of post-neurosurgical meningitis due to carbapenemase-producing Klebsiella pneumoniae (CPKP).
Occurrence of Antimicrobial-Resistant Bacteria in Intestinal Contents of Wild Marine Fish in Chile
Authors: Miranda Claudio D. , Concha Christopher , Hurtado Luz , Urtubia Rocío , Rojas Rodrigo , Romero Jaime
Published: April 2024

Antimicrobial-resistant bacteria (ARB) from the intestinal contents of wild fish may have a relevant ecological significance and could be used as indicators of antimicrobial-resistance dissemination in natural bacterial populations in water bodies impacted by urban contamination. Thus, the occurrence of ARB in the intestinal contents of pelagic and demersal wild fishes captured in anthropogenic-impacted Coquimbo Bay in Chile was studied. Culturable counts of total and antimicrobial-resistant bacteria were determined by a spread plate method using Trypticase soy agar and R2A media, both alone and supplemented with the antimicrobials amoxicillin, streptomycin, florfenicol, oxytetracycline and ciprofloxacin, respectively. Heterotrophic plate counts of pelagic and demersal fishes ranged from 1.72 × 106 CFU g−1 to 3.62 × 109 CFU g−1, showing variable proportions of antimicrobial resistance. Representative antimicrobial-resistant isolates were identified by 16S rRNA gene sequencing, and isolates (74) from pelagic fishes mainly belonged to Pseudomonas (50.0%) and Shewanella (17.6%) genera, whereas isolates (68) from demersal fishes mainly belonged to Vibrio (33.8%) and Pseudomonas (26.5%) genera. Antimicrobial-resistant isolates were tested for susceptibility to 12 antimicrobials by an agar disk diffusion method, showing highest resistance to streptomycin (85.2%) and amoxicillin (64.8%), and lowest resistance to oxytetracycline (23.2%) and ciprofloxacin (0.7%). Only furazolidone and trimethoprim/sulfamethoxazole were statistically different (p < 0.05) in comparisons between isolates from pelagic and demersal wild fishes. Furthermore, an important number of these isolates carried plasmids (53.5%) and produced Extended-Spectrum-β-lactamases (ESBL) (16.9%), whereas the detection of Metallo–β–Lactamases and class 1-integron was rare. This study provides evidence that wild fish are important reservoirs and spreading-vehicles of ARB, carrying plasmids and producing ESBLs in Chilean marine environments.
Prediction and Detection of Ventricular Fibrillation Using Complex Features and AI-Based Classification
Authors: Fira Monica , Costin Hariton-Nicolae , Goras Liviu
Published: April 2024

We analyzed the possibility of detecting and predicting ventricular fibrillation (VF), a medical emergency that may put people’s lives at risk, as the medical prognosis depends on the time in which medical personnel intervene. Therefore, besides immediate detection of VF, the possibility of predicting VF 40 or even 50 min in advance was analyzed. For testing the proposed algorithm, we used ECG signals taken from the MIT-BIH database, namely, Malignant Ventricular Ectopy Database, Sudden Cardiac Death Holter Database and Normal Sinus Rhythm Database. The presented method is based on features extracted from the ECG signals in the time domain, frequency domain and complexity measures. For VF detection, the possibility of identifying the VF episode in the first 3 s after its occurrence was tested. For this, the first 3 s immediately after the appearance of VF were cut out and the features were computed on these sections. For VF prediction, 3 min of the ECG signal clipped 40 or 50 min before VF onset was used. Then, on these pieces of ECG signal, the specific features were calculated for 1 s segments. For the normal signal situation, 3 min was randomly selected from the database with normal ECGs. For the classification or detection stage, both an MLP-type neural network and the classifiers from the Machine Learning toolbox of the MATLAB® environment were used. The results obtained for both detection and classification are over 94% in both cases. The novelty of our results compared to those previously obtained is the time interval with which the possibility of prediction was analyzed, namely, 50 min in advance of the VF installation date. This means that the patient will be informed that it is possible to suffer a VF and has time to take the necessary measures to overcome a possible medical emergency.
Utilizing Constructed Neural Networks for Autism Screening
Authors: Toki Eugenia I. , Pange Jenny , Tatsis Giorgos , Plachouras Konstantinos , Tsoulos Ioannis G.
Published: April 2024

Autism Spectrum Disorder is known to cause difficulties in social interaction and communication, as well as repetitive patterns of behavior, interests, or hobbies. These challenges can significantly affect the individual’s daily life. Therefore, it is crucial to identify and assess children with Autism Spectrum Disorder early to significantly benefit the long-term health of children. Unfortunately, many children are not diagnosed or are misdiagnosed, which means they miss out on the necessary interventions. Clinicians and other experts face various challenges during the diagnostic process. Digital tools can facilitate early diagnosis effectively. This study aimed to explore the use of machine learning techniques on a dataset collected from a serious game designed for children with autism to investigate how these techniques can assist in classification and make the clinical process more efficient. The responses were gathered from children who participated in interactive games deployed on mobile devices, and the data were analyzed using various types of neural networks, such as multilayer perceptrons and constructed neural networks. The performance metrics of these models, including error rate, precision, and recall, were reported, and the comparative experiments revealed that the constructed neural network using the integer rule-based neural networks approach was superior. Based on the evaluation metrics, this method showed the lowest error rate of 11.77%, a high accuracy of 0.75, and a good recall of 0.66. Thus, it can be an effective way to classify both typically developed children and children with Autism Spectrum Disorder. Additionally, it can be used for automatic screening procedures in an intelligent system. The results indicate that clinicians could use these techniques to enhance conventional screening methods and contribute to providing better care for individuals with autism.
A Time-History Contact Force Model of the Dynamic Load of AERORail Structures
Authors: Li Fangyuan , Guo Zhenwei , Wu Peifeng , Cui Yunxuan
Published: April 2024

This study proposes two curves that depict the vehicle–bridge contact force in a novel transportation system named AERORail, which is a lightweight cable-supported structure in which the rails and the prestressed cable form the load bearing system. Based on the contact force identified from a full-scale AERORail system, single and double-valley curves were obtained as the idealized contact force model for large- and small-span AERORail systems, respectively. This was achieved by utilizing the Bezier curves and the least squares method. The proposed curves were verified through a moving load model from a previous study under various spans and speeds. Moreover, the structural response of the AERORail structure under high-speed vehicle passing was explored using the idealized contact force model. The simulation results show that the proposed contact force model can predict the displacement response of 5 m and 15 m spans with a relative error of less than 5%, proving that the model can be used for dynamic analysis of AERORail.
Practical Approach for Smart and Circular Cities: Chatbots Used in Waste Recycling
Authors: Zota Răzvan Daniel , Cîmpeanu Ionuț Alexandru , Dragomir Denis Alexandru , Lungu Mihai Adrian
Published: April 2024

Sustainable development, smart waste management, and circular economy principles are paramount to the significant worldwide trend of smart city-related research and projects. The basic hypothesis of our research is that artificial intelligence (AI)-based IT applications have an increasingly important role in the field of smart cities in terms of issues related to waste management. In our present article, we set out to analyze the characteristics of chatbot applications dedicated to waste recycling in the case of smart cities and propose some innovative ideas to improve the efficiency of such applications. Based on the consultation and analysis of a whole series of chatbot-type applications used to facilitate the recycling activity, we systematically analyze and evaluate five illustrative examples of chatbots employed in the context of material recycling. We provide performance comparisons in a table based on specific relevant criteria. Furthermore, the detailed analysis of these chatbots has led to the idea of improving the performance of this type of application. In this sense, we propose a series of innovative concepts that can be successfully implemented in future chatbots dedicated to the field of the circular economy. Here, we detail the innovative ideas that can promote the circular economy and capitalize on the potential of chatbots in the waste recycling activity. We also identify some possible limitations of these new ideas that we propose to be implemented. As for future research directions, our goal is to develop a chatbot dedicated to improving waste recycling practices within the framework of a smart city. Such innovation holds promise in improving sustainability efforts and fostering environmental stewardship within urban environments.
Adaptive Prosthetic Trajectory Estimation Based on Key Points Constraints
Authors: Sun Lei , An Honglei , Ma Hongxu , Wei Qing , Gao Jialong
Published: April 2024

Lower limb knee–ankle prostheses can effectively assist above-knee amputees in completing their basic daily activities. This study explored methods for estimating the joint kinematics of intelligent lower limb prostheses to better adapt them to the walking requirements of amputees. A method of estimating the knee and ankle joint trajectories under different speeds and slopes was raised. The joints of a prosthetic need to have a movement trajectory similar to that of the joints of healthy individuals, taking into account the person’s motion intentions and complying with the law of movement. In this study, a prosthetic kinematics estimation method was studied to realize continuous speed and slope adaptation through key points. The iterative Douglas–Peucker algorithm automatically found the key points of the kinematic trajectory curve, and an invariant basis function-fitting model with key points constraints was constructed. Finally, the radial basis function neural network was used to estimate the adaptive task function of the parts affected by the speed and slope, resulting in an overall kinematics estimation model. Our experiments verified the effectiveness of the proposed method, which accurately estimated the kinematic trajectory; the knee and ankle joint estimation errors were greatly reduced compared to those obtained with previous methods, facilitating further research on individual algorithms.
Innovative Approaches to Wear Reduction in Horizontal Powder Screw Conveyors: A Design of Experiments-Guided Numerical Study
Authors: Motaln Marko , Lerher Tone
Published: April 2024

Numerical simulations play a vital role in the modern engineering industry, especially when faced with interconnected challenges such as particle interactions and the structural integrity of conveyor systems. This article focuses on the handling of materials and emphasizes the importance of using parametric numerical analysis to improve efficiency, reduce wear, and enhance the structural integrity of horizontal screw conveyors. Through the utilization of the Design of Experiments, we systematically investigated critical parameters such as screw pitch, clearance, wear, rotational velocity, and additional structural factors. This examination was carried out within a well-defined parametric framework, utilizing a combination of software tools provided by the Ansys suite and Minitab. The findings demonstrate the effectiveness of the Design of Experiments analysis in achieving improved performance and provide valuable insights for engineers and researchers involved in the design of conveyor systems. Furthermore, this comprehensive approach clarifies how conveyor systems respond to changes in parameters and highlights the complex interaction between transported particles and the conveyor system. We present a detailed analysis that clarifies the complex relationships and dependencies among different parameters, providing engineers and researchers with valuable insights. By understanding the interactions of these factors, the methodology provides not only results but also a strategic framework for advancing conveyor system design and engineering practices.
Hierarchical Fuzzy MCDA Multi-Risk Model for Detecting Critical Urban Areas in Climate Scenarios
Authors: Cardone Barbara , D’Ambrosio Valeria , Di Martino Ferdinando , Miraglia Vittorio
Published: April 2024

One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-based platform aimed at detecting the urban areas most at risk in the presence of heatwave and pluvial flooding scenarios. The proposed model aims to detect the urban areas most vulnerable to both the two climatic phenomena and the two types of hazards as independent events; it partitions the physical component of an urban settlement into two subsystems: buildings and open spaces, and it determines the criticality of a subzone of the urban area of study by evaluating the vulnerabilities of the two subsystems to the two phenomena. The use of a hierarchical fuzzy MCDA model facilitates the modeling of the two subsystems and the assessment of their vulnerability to the two phenomena, and it provides a computationally fast tool for detecting critical urban areas. The model was tested on a study area made up of the districts of the central-eastern area of the city of Naples (Italy); it was divided into subzones made up of individual census areas. The most critical areas are represented by the subzones with criticality values higher than a specific threshold.
Estimating the Margin of Gait Stability in Healthy Elderly Using the Triaxial Kinematic Motion of a Single Body Feature
Authors: Liu Ziqi , Okamoto Shogo , Kuroda Tomohito , Akiyama Yasuhiro
Published: April 2024

Gait stability indices are crucial for identifying individuals at risk of falling while walking. The margin of stability is one such index, known for its good construct validity. Generally, the measurement of this stability index requires a motion capture system, rendering it inaccessible for everyday use. This study proposes an alternative approach by estimating the index through time-series data of triaxial kinematic motion from a single body feature. We analyzed an open gait database comprising data from 60 participants aged over 60 to identify the most accurate body feature for estimating the margin of stability. The margin of stability values were estimated by using principal motion analysis, with the time series of the triaxial translational velocities of a body feature as predictors. Among the 10 body feature points, the sacral crest provided the highest accuracy, with the correlation coefficients between observation and estimation being 0.56 and 0.54 for the mediolateral and anterior directions, respectively. Although these values need to be further improved, these findings pave the way for developing an accessible system to estimate fall risks.
Ready-to-Use Vegetable Salads: Physicochemical and Microbiological Evaluation
Authors: Albu Eufrozina , Prisacaru Ancuta Elena , Ghinea Cristina , Ursachi Florin , Apostol Laura Carmen
Published: April 2024

Ready-to-use vegetable salads are minimally processed products, rich in antioxidants, but are associated with a high microbiological risk and possibly, in some cases, with a high content of nitrites. The purpose of this study was to investigate the physicochemical and microbiological properties of different ready-to-use vegetable salad assortments on the Romanian market. Seventeen types of salad vegetables were evaluated for the determination of water activity, antioxidant activity and nitrite concentration and tested for the presence of microorganisms. The water activity of the samples varied from 0.873 to 0.933, and the IC50 values were between 1.31 ± 0.02 and 5.43 ± 0.04 µg/mL. Nitrites were present in all samples investigated (ranging from 290.6 to 3041.17 mg/kg). Staphylococci and Enterobacteriaceae were detected in 35.3% and 70.5% of the samples. Furthermore, 17.6% of the salads were contaminated with Escherichia coli, and Listeria was detected in 29.4% of the samples. Salmonella was detected in only one sample, and Faecal streptococci were not present in any of the samples. The results indicated high nitrite values and also revealed pathogens’ presence. Producers should make more efforts to lower microbial contamination, while maximum limits for nitrites in vegetables should be set based on the impact on human health.
Machine Learning in Quasi-Newton Methods
Authors: Krutikov Vladimir , Tovbis Elena , Stanimirović Predrag , Kazakovtsev Lev , Karabašević Darjan
Published: April 2024

In this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulate a quality functional and minimize it by using gradient machine learning algorithms. We demonstrate that this approach leads us to the well-known ways of updating metric matrices used in QNM. The learning algorithm for finding metric matrices performs minimization along a system of directions, the orthogonality of which determines the convergence rate of the learning process. The degree of learning vectors’ orthogonality can be increased both by choosing a QNM and by using additional orthogonalization methods. It has been shown theoretically that the orthogonality degree of learning vectors in the Broyden–Fletcher–Goldfarb–Shanno (BFGS) method is higher than in the Davidon–Fletcher–Powell (DFP) method, which determines the advantage of the BFGS method. In our paper, we discuss some orthogonalization techniques. One of them is to include iterations with orthogonalization or an exact one-dimensional descent. As a result, it is theoretically possible to detect the cumulative effect of reducing the optimization space on quadratic functions. Another way to increase the orthogonality degree of learning vectors at the initial stages of the QNM is a special choice of initial metric matrices. Our computational experiments on problems with a high degree of conditionality have confirmed the stated theoretical assumptions.
Aging Mechanism of Mn-Based Prussian Blue Cathode Material by Synchrotron 2D X-ray Fluorescence
Authors: Maisuradze Mariam , Li Min , Carlomagno Ilaria , Gaboardi Mattia , Aquilanti Giuliana , Plaisier Jasper Rikkert , Giorgetti Marco
Published: April 2024

The aging mechanism of 10% and 30% nickel-substituted manganese hexacyanoferrate cathode material in aqueous zinc-ion batteries has been explored through the advanced synchrotron-based two-dimensional X-ray fluorescence technique. Thanks to the two-dimension modality, not only were the metal concentration dynamics throughout the entire electrodes followed during the aging process, but their spatial distribution was also revealed, suggesting the route of the material transformation. The dissolution of Mn and Ni, as well as the penetration of Zn inside the framework were detected, while the Mn aggregations were found outside the hexacyanoferrate framework. Additionally, the possibility of conducting X-ray absorption spectroscopy measurements on the regions of interest made it possible to explore the chemical state of each metal, and furthermore, synchrotron-based powder X-ray diffraction demonstrated the gradual structural modification in 30% Ni-containing sample series in terms of the different phase formation.
Packaging Material Use Efficiency of Commercial PET and Glass Bottles for Mineral Water
Authors: Gress Anna , Müller Kajetan , Sängerlaub Sven
Published: April 2024

The influence of the bottle material (glass, PET), the reusability (reusable and disposable bottles), and the carbonization (still, medium, classic mineral water) on the filling ratio, packaging material use efficiency, cost, and shelf life were evaluated. Two hundred different bottles were purchased and characterized regarding their filling volume, the weight of the bottle, the weight of the closure, the weight of the label, and the maximum full-rim volume of the bottle. The packaging material use efficiency was calculated. The shelf life was evaluated by calculating the water vapor and carbon dioxide transmission rates. The ratio of filling volume to the packaging weight of disposable PET bottles was, on average, two times higher compared to returnable PET bottles and 20 times higher compared to glass bottles. Shelf life was, on average, higher than factor two for glass bottles compared to PET bottles. On average, but not in all cases, mineral water packaged in disposable PET bottles was cheaper compared to reusable PET and glass bottles. This paper provides a benchmark for the packaging community, especially when data for life cycle assessment are required, and the different advantages and disadvantages of different bottle materials for mineral water are shown.