bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Tirzepatide on Body Composition in People with Overweight and Obesity: A Systematic Review of Randomized, Controlled Studies
Authors: Rochira Vincenzo , Greco Carla , Boni Stefano , Costantino Francesco , Dalla Valentina Leonardo , Zanni Eleonora , Itani Leila , El Ghoch Marwan
Published: September 2024

Tirzepatide (TZP) is a new anti-obesity drug, and little is currently known about its effect on body composition (BC) in people with overweight or obesity. The aim of this study is to conduct a systematic review on the impact of TZP on BC compartments in this population during weight loss programs. Literature searches, study selection, method development, and quality appraisal were performed. The data were synthesized using a narrative approach, in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Of the 1379 papers retrieved, 6 randomized controlled trials met the inclusion criteria and were reviewed, revealing the following findings. Firstly, TZP was shown to result in a significant reduction in total fat mass (FM), visceral adipose tissue (VAT) and waist circumference (WC) between baseline and short as well as intermediate follow-ups. Compared to other anti-obesity medications (e.g., dulaglutide and semaglutide) taken over the same duration, TZP showed a superior decrease in body fat compartments (i.e., total FM, VAT and WC). Finally, the effect of TZP on fat-free mass (FFM) is still uncertain because the findings remain inconclusive. In conclusion, TZP appears to be an effective strategy for achieving significant improvements in body fat and its distribution, but additional investigations are still needed to determine the impact of TZP on lean mass in this population.
Bidirectional Decoupled Distillation for Heterogeneous Federated Learning
Authors: Song Wenshuai , Yan Mengwei , Li Xinze , Han Longfei
Published: September 2024

Federated learning enables multiple devices to collaboratively train a high-performance model on the central server while keeping their data on the devices themselves. However, due to the significant variability in data distribution across devices, the aggregated global model’s optimization direction may differ from that of the local models, making the clients lose their personality. To address this challenge, we propose a Bidirectional Decoupled Distillation For Heterogeneous Federated Learning (BDD-HFL) approach, which incorporates an additional private model within each local client. This design enables mutual knowledge exchange between the private and local models in a bidirectional manner. Specifically, previous one-way federated distillation methods mainly focused on learning features from the target class, which limits their ability to distill features from non-target classes and hinders the convergence of local models. To solve this limitation, we decompose the network output into target and non-target class logits and distill them separately using a joint optimization of cross-entropy and decoupled relative-entropy loss. We evaluate the effectiveness of BDD-HFL through extensive experiments on three benchmarks under IID, Non-IID, and unbalanced data distribution scenarios. Our results show that BDD-HFL outperforms state-of-the-art federated distillation methods across five baselines, achieving at most 3% improvement in average classification accuracy on the CIFAR-10, CIFAR-100, and MNIST datasets. The experiments demonstrate the superiority and generalization capability of BDD-HFL in addressing personalization challenges in federated learning.
Gms-Afkmc2: A New Customer Segmentation Framework Based on the Gaussian Mixture Model and ASSUMPTION-FREE K-MC2
Authors: Xiao Liqun , Zhang Jiashu
Published: September 2024

In this paper, the impact of initial clusters on the stability of customer segmentation methods based on K-means is investigated. We propose a novel customer segmentation framework, Gms-Afkmc2, based on the Gaussian mixture model and ASSUMPTION-FREE K-MC2, a better cluster-based K-means method, to obtain greater customer segmentation by generating better initial clusters. Firstly, a dataset sampling method based on the Gaussian mixture model is designed to generate a sample dataset of custom size. Secondly, a data clustering approach based on ASSUMPTION-FREE K-MC2 is presented to produce initialized clusters with the proposed dataset. Thirdly, the enhanced ASSUMPTION-FREE K-MC2 is utilized to obtain the final customer segmentation on the original dataset with the initialized clusters from the previous stage. In addition, we conduct a series of experiments, and the result shows the effectiveness of Gms-Afkmc2.
Development of a Seafloor Litter Database and Application of Image Preprocessing Techniques for UAV-Based Detection of Seafloor Objects
Authors: Biliškov Ivan , Papić Vladan
Published: September 2024

Marine litter poses a significant global threat to marine ecosystems, primarily driven by poor waste management, inadequate infrastructure, and irresponsible human activities. This research investigates the application of image preprocessing techniques and deep learning algorithms for the detection of seafloor objects, specifically marine debris, using unmanned aerial vehicles (UAVs). The primary objective is to develop non-invasive methods for detecting marine litter to mitigate environmental impacts and support the health of marine ecosystems. Data was collected remotely via UAVs, resulting in a novel database of over 5000 images and 12,000 objects categorized into 31 classes, with metadata such as GPS location, wind speed, and solar parameters. Various image preprocessing methods were employed to enhance underwater object detection, with the Removal of Water Scattering (RoWS) method demonstrating superior performance. The proposed deep neural network architecture significantly improved detection precision compared to existing models. The findings indicate that appropriate databases and preprocessing methods substantially enhance the accuracy and precision of underwater object detection algorithms.
Research on Low-Light Environment Object Detection Algorithm Based on YOLO_GD
Authors: Li Jian , Wang Xin , Chang Qi , Wang Yongshan , Chen Haifeng
Published: September 2024

In low-light environments, the presence of numerous small, dense, and occluded objects challenges the effectiveness of conventional object detection methods, failing to achieve desirable results. To address this, this paper proposes an efficient object detection network, YOLO_GD, which is designed for precise detection of targets in low-light scenarios. This algorithm, based on the foundational framework of YOLOv5s, implements a cross-layer feature fusion method founded on an information gathering and distribution mechanism. This method mitigates the issue of information loss during inter-layer feature exchange and, building on this, constructs a Bi-level routing spatial attention module to reduce computational redundancy caused by the self-attention mechanism, thereby enhancing the model’s detection accuracy for small objects. Furthermore, through the introduction of a novel deformable convolution, a cross-stage local feature fusion module is established, enabling the model to capture the complex features of input data more accurately and improve detection precision for dense objects. Lastly, the introduction of a probabilistic distance metric in the bounding box regression loss function enhances the network model’s generalization capability, further increasing detection accuracy in occluded scenarios. Experimental results on the ExDark dataset demonstrate that compared to YOLOv5, there is a 5.97% improvement in mean average precision (mAP), effectively enhancing object detection performance in low-light conditions.
Numerical Investigation on the Thermal Performance of a Battery Pack by Adding Ribs in Cooling Channels
Authors: Wang Jiadian , Lv Dongyang , Sha Haonan , Lai Chenguang , Zeng Junxiong , Gao Tieyu , Yang Hao , Wu Hang , Jiang Yanjun
Published: September 2024

The thermal performance of a lithium-ion battery pack for an electric vehicle by adding straight rib turbulators in battery cooling plate channels has been numerically investigated in this paper and the numerical model of the battery pack has been validated by experimental data, which exhibits a satisfactory prediction accuracy. The effects of rib shapes, rib angles, rib spacings, and irregular gradient rib arrangement configurations on the flow and heat transfer behaviors of battery pack cooling plates have been thoroughly explored and analyzed in this paper. In addition, the thermal performance of the ribbed battery cooling plates was examined at actual high-speed climbing and low-temperature heating operating conditions. The results indicate that compared to the original smooth cooling plate, the square-ribbed battery cooling plate with a 60° angle and 5 mm spacing reduced the maximum battery temperature by 0.3 °C, but increased the cross-sectional temperature difference by 0.357 °C. To address this issue, a gradient rib arrangement was proposed, which slightly reduced the maximum battery temperature and lowered the cross-sectional temperature difference by 0.445 °C, significantly improving temperature uniformity. The thermal performance of the battery thermal management system with this gradient rib configuration meets the requirements for typical electric vehicle operating conditions, such as high-speed climbing and low-temperature heating conditions.
Harnessing Heterogeneous Interface and Oxygen Vacancy in Cu/Cu2O for Efficient Electrocatalytic Nitrate Reduction to Ammonia
Authors: Li Yaxuan , Fang Ling , Bai Yuanjuan
Published: September 2024

In recent years, the electrocatalytic reduction of nitrate to ammonia (NRA) has garnered significant research attention. However, the complex multi-step proton–electron transfer process often results in various by-products, limiting NH3 production. Therefore, designing and developing highly active and selective electrocatalysts for efficient NRA is crucial. This study proposes a method to construct Cu/Cu2O nanosheet arrays with heterogeneous interfaces and oxygen vacancies on copper foam surfaces through electrochemical reduction. The interface coupling between Cu and Cu2O significantly optimizes the catalyst’s surface electronic structure, providing sufficient active sites. In addition, the presence of oxygen vacancies in Cu/Cu2O can optimize the adsorption kinetics of intermediates in the NRA process and effectively inhibit the formation of by-products. The results show that Cu/CuO2 nanosheet arrays are superior NRA catalysts, achieving a Faradaic efficiency of up to 91.1%, a nitrate conversion of 96.25%, and an NH3 yield rate of 6.11 mg h−1 cm−2.
Toward the Definition of a Repertoire of Technical Professional Specialist Competencies for Operating Room Nurses: An Ethnographic Study
Authors: Reato Francesca , Bresil Alessia , D’Angelo Chiara , Gorli Mara , Ivziku Dhurata , Lommi Marzia , Carcano Giulio
Published: September 2024

Registered nurses in the operating room require specialized competencies that surpass basic educational training. Existing national and international documents attempt to outline these competencies but often lack comprehensive details. To address this, a repertoire of technical and professional competencies for operating room nurses, aligned with European and National Qualifications Frameworks, is proposed. Aim: Develop a repertoire of technical and professional competencies for perioperative and perianesthesiological specialist nursing roles. Methods: An at-home ethnography design was employed, utilizing participant observation, interviews to the double, and focus groups. Convenience sampling included 46 participants from a university and a public hospital in northern Italy. Data were collected from September 2021 to June 2023 and analyzed using inductive content analysis and data triangulation. Results: Identified 17 specialized technical professional competencies for perioperative and perianesthesiological nursing, divided into 6 areas of activity. These competencies encompass 19 learning outcomes, 152 tasks, 222 knowledge elements, and 218 skills. Conclusions: This competency repertoire aids in the public recognition of qualifications and serves as a valuable tool for identifying, validating, and certifying competencies. Future research should focus on exploring the competencies of central sterilization nurses and transversal competencies.
Evaluation of Soldiers’ Knowledge and Sense of Threats Regarding Exposure to Biological Risk Factors at the Place of Service
Authors: Zawadzka Magdalena , Lis Aleksandra , Marszałkowska-Jakubik Justyna , Szymański Paweł
Published: September 2024

Exposure to harmful biological agents and the level of knowledge about specific risk factors are extremely important topics, especially among military personnel. This study evaluates the knowledge and perceptions of soldiers regarding exposure to biological risk factors during their service. This research was conducted using an online survey distributed through the WBBS research panel, in which 1331 soldiers from various demographic groups and ranks participated. The survey assessed awareness of biological threats, the level of knowledge about preventive measures, and the perceived adequacy of occupational health and safety training. The findings reveal that over 80% of respondents possess some level of knowledge about the types of biological agents they may encounter, yet significant gaps remain, particularly in training related to region-specific infectious diseases, with more than 75% of participants having not received such training. Additionally, approximately 5% of respondents reported high exposure, and around 4% reported very high exposure to harmful biological agents, highlighting the need for enhanced educational programs and preventive measures in military contexts. The study underscores the importance of continuous education and training to mitigate risks associated with biological hazards in military environments.
Identification of the Oleosin Genes and Functional Analysis of CeOle4 Gene in Cyperus esculentus L.
Authors: Dong Yuanyuan , Cui Yuling , Wang Yijin , Luan Shiyu , Liu Xinyi , Yang Qi , Liu Weican , Li Xiaowei , Wang Nan , Wang Fawei , Gu Lei , Xue Ping
Published: September 2024

Tiger nut is the tuber of the perennial herbaceous plant Cyperus esculentus L., whose unique underground tubers are not only the main reproductive organ but also an important oil storage site. Oleosin is the most abundant structural protein in the oil body, which is an important membrane structural protein, playing a role in the formation and stability of lipid droplets in oilseed crops. Most studies have focused on the oleosin in oilseeds, but rarely on the oil containing tuber. In this study, nine oleosin genes from the Cyperus esculentus transcriptome were identified and divided into two groups via phylogenetic analysis. The expression patterns of the nine oleosins were examined through quantitative real-time PCR (qRT-PCR) in various development stages of stem tissue (35 d, 50 d, 75 d, 90 d, and 120 d after sowing). The subcellular localization of CeOle4 indicated that this protein was localized exclusively to membrane, indicating that it functioned in the plasma membrane. The highly expressed gene CeOle4 within the CeOleosin gene family was further transformed into yeast cells and plant materials. The results demonstrate that CeOle4 can promote lipid synthesis, enhancing the stability of oil lipids at low temperature and changing seed phenotypic traits. This discovery addresses and enriches the research on the function of CeOleosin genes and lays the groundwork for future studies on novel and superior transgenic crops related to tiger nut.
Phenotypic Identification of Landraces of Phaseolus lunatus L. from the Northeastern Region of Brazil Using Morpho-Colorimetric Analysis of Seeds
Authors: Barros Emerson Serafim , Sarigu Marco , Lallai Andrea , Balduino Nicolau Josefa Patrícia , Benedito Clarisse Pereira , Bacchetta Gianluigi , Torres Salvador Barros
Published: September 2024

Phaseolus lunatus L. is a species of landrace bean widely cultivated in Northeast Brazil. The integration of new technologies in the agricultural sector has highlighted the significance of seed images analysis as a valuable asset in the characterization process. The objective was to assess the morphology of 18 P. lunatus varieties gathered from four states in the Brazilian Northeast. To achieve this, 100 seeds from each variety were utilized, and their images were acquired using a flatbed scanner with a digital resolution of 400 dpi. Subsequently, the images were processed using the ImageJ software package for analyzing seed size, shape and color characteristics. Statistical analyses were performed with SPSS software applying stepwise Linear Discriminant Analysis (LDA). The overall accuracy rate for correct identification was 80.5%. Among the varieties, the lowest classification percentage was attributed to the ‘Coquinho Vermelha’ variety (39%), while the highest rates were observed for ‘Fava Roxa’ and ‘Fava de Moita’ (98%). The morpho-colorimetric classification system successfully discriminated the varieties of P. lunatus produced in the northeastern region of Brazil, highlighting the -+*/high degree of diversity within them. In particular, seeds with uniform coloring or clearly defined secondary color patterns were easier to classify. The varieties showed low correlation, forming distinct groups based on background color, secondary color, or seed size.
Assessments of Heavy Metal Contaminants in the Drenica River and Bioremediation by Typha angustifolia
Authors: Fetoshi Osman , Koto Romina , Sallaku Fatbardh , Çadraku Hazir , Rizani Smajl , Bytyçi Pajtim , Nuha Demokrat , Đurin Bojan , Durmishi Berat , Haziri Veton , Feka Fidan , Haziri Shkendije Sefa , Rathnayake Upaka , Dogančić Dragana
Published: September 2024

The concentrations of cadmium, copper, lead, zinc, nickel, and chromium in samples of sediment, water, and Typha angustifolia plants in the stream of the Drenica River were determined to assess the level of pollution. According to sediment analysis results from seven locations, the concentrations of Cu, Ni, Zn, and Cr exceeded the permitted limits according to WHO standards from 1996. In the plant samples, the concentrations of Cd and Pb were above the allowed limits according to GD161 and ECE standards, and according the WHO standard, the water quality in the Drenica River is classified into the first, second, and third quality categories. The results of this study show the bioaccumulation coefficient in Typha angustifolia plants, and it was found that the most bioaccumulated of the metals is Cd, with a bioaccumulation coefficient (BAF) greater than 1. The pollution load index (PLI), enrichment factor (EF index), Geoaccumulation index (Igeo), potential ecological risk factor (Eif), and potential ecological risk index (RI) were used in combination to assess the degree of pollution and the environmental risk presented to the freshwater ecosystem of the Drenica River. The results show that the Drenica River is mainly polluted by Ni, Cu, and Cr, reflecting substantial impacts of anthropogenic activities, including sizeable industrial effects, the development of urbanism, agricultural activities, and the deposition of waste from a ferronickel factory in the area.
Perceptions of Knowledge and Experience in Nature-Based Health Interventions
Authors: Smock Carissa R. , Schultz Courtney L. , Gustat Jeanette , Layton Robby , Slater Sandy J.
Published: September 2024

Although perceptions and uses vary, nature-based health interventions (NBHIs) help facilitate the additional health benefits of physical activity (PA) experienced in nature, thereby reducing all-cause morbidity and mortality. The purpose of this mixed-methods, cross-sectional study was to better understand perceptions, terminology, and participation in NBHIs. A questionnaire was developed by reviewing validated instruments and gauging expert experience with stakeholders. Distributed electronically, a community partner listserv promoting active living served as the population. Quantitative questionnaire measures assessed familiarity with NBHI terms, concepts, experience, how NBHI should be used, and the importance of NBHI components. Qualitative themes included the strengths and weaknesses of NBHIs. Participants (n = 53) were familiar with the terms nature play (82%), forest bathing (78%), and park and nature prescriptions (74%) and moderately familiar with NBHIs (5-point Likert scale, M = 3.27, SD = 1.17). Most thought NBHIs could be useful in treating physical (96%) and mental health conditions (100%) and would follow or write one (80%). The location was reported as the most important component, followed by access, social comfort, dosage, and ongoing support. This study suggests stakeholders are familiar with and support NBHIs conceptually; however, policies, support, and funding opportunities are needed to operationalize components to increase use of NBHIs.
Study of Pentacyclic Triterpenes from Lyophilised Aguaje: Anti-Inflammatory and Antioxidant Properties
Authors: Apaza Ticona Luis , Sánchez Sánchez-Corral Javier , Montoto Lozano Natalia , Prieto Ramos Pablo , Sánchez Ángel Rumbero
Published: September 2024

Mauritia flexuosa (M. flexuosa), commonly known as Aguaje or Moriche palm, is traditionally recognised in South America for its medicinal properties, particularly for its anti-inflammatory and antioxidant effects. However, the bioactive compounds responsible for these effects have not been thoroughly investigated. This study aims to isolate and characterise pentacyclic triterpenoid compounds from M. flexuosa and to evaluate their therapeutic potential. Using various chromatographic and spectroscopic techniques including Nuclear Magnetic Resonance (NMR) and Mass Spectrometry (MS), three pentacyclic triterpenoid compounds were successfully isolated. Among them, compound 1 (3,11-dioxours-12-en-28-oic acid) exhibited notable bioactivity, significantly inhibiting the activation of Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF-κB) (IC50 = 7.39–8.11 μM) and of Nitric Oxide (NO) (IC50 = 4.75–6.59 μM), both of which are key processes in inflammation. Additionally, compound 1 demonstrated potent antioxidant properties by activating the antioxidant enzyme Superoxide Dismutase (SOD) (EC50 = 1.87 μM) and the transcription factor Nuclear factor erythroid 2-related factor 2 (Nrf2) (EC50 = 243–547.59 nM), thus showing its potential in combating oxidative stress. This study is the first to isolate and characterise the three compounds from M. flexuosa, suggesting that compound 1 could be a promising candidate for the development of safer and more effective therapies for inflammatory and oxidative stress-related diseases.
Inflammatory Intracellular Signaling in Neurons Is Influenced by Glial Soluble Factors in iPSC-Based Cell Model of PARK2-Associated Parkinson’s Disease
Authors: Gerasimova Tatiana , Poberezhniy Daniil , Nenasheva Valentina , Stepanenko Ekaterina , Arsenyeva Elena , Novosadova Lyudmila , Grivennikov Igor , Illarioshkin Sergey , Lagarkova Maria , Tarantul Vyacheslav , Novosadova Ekaterina
Published: September 2024

Neuroinflammation is considered to be one of the driving factors in Parkinson’s disease (PD). This study was conducted using neuronal and glial cell cultures differentiated from induced pluripotent stem cells (iPSC) of healthy donors (HD) and PD patients with different PARK2 mutations (PD). Based on the results of RNA sequencing, qPCR and ELISA, we revealed transcriptional and post-transcriptional changes in HD and PD neurons cultivated in HD and PD glial-conditioned medium. We demonstrated that if one or both of the components of the system, neurons or glia, is Parkin-deficient, the interaction resulted in the down-regulation of a number of key genes related to inflammatory intracellular pathways and negative regulation of apoptosis in neurons, which might be neuroprotective. In PD neurons, the stress-induced up-regulation of APLNR was significantly stronger compared to HD neurons and was diminished by glial soluble factors, both HD and PD. PD neurons in PD glial conditioned medium increased APLN expression and also up-regulated apelin synthesis and release into intracellular fluid, which represented another compensatory action. Overall, the reported results indicate that neuronal self-defense mechanisms contribute to cell survival, which might be characteristic of PD patients with Parkin-deficiency.
Activated THP-1 Macrophage-Derived Factors Increase the Cytokine, Fractalkine, and EGF Secretions, the Invasion-Related MMP Production, and Antioxidant Activity of HEC-1A Endometrium Cells
Authors: Pandur Edina , Pap Ramóna , Sipos Katalin
Published: September 2024

Endometrium receptivity is a multifactor-regulated process involving progesterone receptor-regulated signaling, cytokines and chemokines, and additional growth regulatory factors. In the female reproductive system, macrophages have distinct roles in the regulation of receptivity, embryo implantation, immune tolerance, and angiogenesis or oxidative stress. In the present study, we investigated the effects of PMA-activated THP-1 macrophages on the receptivity-related genes, cytokines and chemokines, growth regulators, and oxidative stress-related molecules of HEC-1A endometrium cells. We established a non-contact co-culture in which the culture medium of the PMA-activated macrophages exhibiting the pro-inflammatory phenotype was used for the treatment of the endometrial cells. In the endometrium cells, the expression of the growth-related factors activin and bone morphogenetic protein 2, the growth hormone EGF, and the activation of the downstream signaling molecules pERK1/2 and pAkt were analyzed by ELISA and Western blot. The secretions of cytokines and chemokines, which are involved in the establishment of endometrial receptivity, and the expression of matrix metalloproteinases implicated in invasion were also determined. Based on the results, the PMA-activated THP-1 macrophages exhibiting a pro-inflammatory phenotype may play a role in the regulation of HEC-1A endometrium cells. They alter the secretion of cytokines and chemokines, as well as the protein level of MMPs of HEC-1A cells. Moreover, activated THP-1 macrophages may elevate oxidative stress protection of HEC-1A endometrium cells. All these suggest that pro-inflammatory macrophages have a special role in the regulation of receptivity-related and implantation-related factors of HEC-1A cells.
Synthesis, Copper(II) Binding, and Antifungal Activity of Tertiary N-Alkylamine Azole Derivatives
Authors: Pissarro Teresa , Malta-Luís Cláudia , Ferreira Luana , Pimentel Catarina , Lima Luís M. P.
Published: September 2024

The rise in antifungal resistance among medically important fungi causing severe infectious diseases has underscored the urgent need for developing more effective antifungal agents. Growing evidence suggests that compounds combining functional antifungal groups with metals are promising candidates and may well be the key to addressing this global challenge. In this work, a range of new azole-containing tertiary amine compounds were prepared from three N-alkylamine azole skeletons appended with a 2,4-dihalogenobenzene function and one of the five different metal-binding motifs pyridine, quinoline, 8-hydroxyquinoline, 2-methoxyphenol, and 4-bromophenol. The copper(II) binding of these azole compounds was studied by spectrophotometric titrations in buffered aqueous medium to determine the metal binding equilibria and to comparatively characterize the copper(II)-binding ability of the compounds. The activity of all compounds against the opportunistic fungal pathogen Candida glabrata was also evaluated, allowing us to draw important conclusions about structure–activity relationships that will guide the future design of more effective metal-binding antifungal compounds.
Novel Insight into the Association between Balneotherapy and Functional State and Health Perception in Chronic Low Back Pain: A Cross-Sectional Study
Authors: Terzic Markovic Dragana , Kocic Sanja , Bradic Jovana , Jurisic-Skevin Aleksandra , Jakovljevic Biljana , Majstorovic Biljana , Dimoski Zvonko , Stojanovic Goran , Maksimovic Vesna , Pavlovic Jugovic Katarina , Dabic Marijana , Jezdimirovic Danijela , Zivanovic Sandra
Published: September 2024

Background: Epidemiological data indicate that low back pain (LBP) affected 619 million people globally in 2020, representing a significant health and economic burden. Additionally, chronic LBP (cLBP) strongly impairs quality of life and leads to disability and premature retirement, thus emphasizing the need for providing deeper insight into the factors that affect treatment outcomes and for offering thorough guidance for the assessment and management of this condition. Taking into consideration the rising prevalence of cLBP and the knowledge gap referring to the overall health benefits of balneotherapy (BT), the aim of this study was to assess the effects of BT on functional status, quality of life, and psychological symptoms in patients with cLBP. Methods: Among 220 patients from the database, two groups were retrospectively identified: patients receiving conventional pharmacological therapy (CT) and patients receiving BT. The effectiveness of the treatment was assessed through a visual analog scale for pain intensity, EuroQol (EQ-5D), and the Work Ability Index Questionnaire. In order to provide deeper insight into the quality of life and also factors associated with functional status and mental health affected by BT, we also used the Short Form Health Survey Questionnaire and the Center of Epidemiologic Studies Depression Scale. Results: Both age and treatment protocol were found to have a significant impact on all observed parameters, i.e., older patients and those receiving CT tended to report lower overall health and physical functioning. On the other hand, BT was associated with better functionality and disability perception status. Conclusions: Understanding the association between individual perceptions of functionality and its emotional and social elements provides a basis for providing comprehensive guidelines and recommendations for cLBP management.
Left Atrial Appendage Thrombus as a Marker of Disease Severity in 500 Patients with Atrial Fibrillation on Oral Anticoagulation: A 13-Year Follow-Up Study
Authors: Turek Łukasz , Sadowski Marcin , Kurzawski Jacek , Janion Marianna
Published: September 2024

Background/Objective: Whether left atrial appendage thrombus (LAAT) in patients with atrial fibrillation (AF) on chronic anticoagulation significantly increases cardiovascular risk is unknown. This study aimed to assess LAAT prevalence and its predictive role in cardiovascular events among consecutive anticoagulated patients with AF admitted for electrical cardioversion. Methods: This prospective study included 500 patients. The primary outcome was LAAT on transesophageal echocardiography. Patients were followed up for a median of 1927.5 (interquartile range 1004–2643) days to assess cardiovascular events. Results: LAAT was detected in 65 (13%) patients. No significant differences in stroke, transient ischemic attack, systemic thromboembolic events, or myocardial infarction prevalence were observed between patients with AF with and without LAAT. Hospitalization for heart failure (HF) was more frequent in patients with LAAT than in those without LAAT; however, the effect of LAAT on HF hospitalization was not statistically significant. Patients with LAAT had a significantly higher risk of cardiovascular death than those without LAAT. LAAT and greater left atrial (LA) diameter were associated with higher rates of cardiovascular death. The independent HF hospitalization predictors were greater LA diameter, lower left ventricular ejection fraction (LVEF), and estimated glomerular filtration rate (eGFR). Conclusions: Patients with AF who received anticoagulation therapy showed a high prevalence of LAAT. LAAT and greater LA diameter were associated with significantly higher rates of cardiovascular death. LAAT, greater LA diameter, lower LVEF, and lower eGFR were associated with poor prognosis in anticoagulated patients with AF and were predictors of disease severity.
What Can We Learn from the Scalp Hair’s Trace Element Content? The Relationship with the Advancement of Coronary Artery Disease
Authors: Urbanowicz Tomasz , Hanć Anetta , Frąckowiak Julia , Białasik-Misiorny Maksymilian , Radek Zofia , Krama Marta , Filipiak Krzysztof J. , Krasińska-Płachta Aleksandra , Iwańczyk Sylwia , Kowalewski Mariusz , Tykarski Andrzej , Jemielity Marek
Published: September 2024

Background: Multiple risk factors for coronary artery disease have been identified without answering one of the leading questions related to the extent of the involvement of the epicardial arteries. Trace elements are involved in various stages of atherosclerotic lesion formation and may play a significant role in the advancement of coronary artery disease. Methods: A total of 157 (92 (59%) men and 65 (41%) women) patients with a median age of 71 (65–75) years presenting with chronic coronary syndrome were enrolled in the prospective single-center analysis. The coronary angiography results were compared with the concentration of trace elements in scalp hair. Results: Through Spearman analysis, a positive correlation between the number of diseased coronary arteries and hair trace element concentration was found for sodium (r = 0.198, p = 0.013), vanadium (r = 0.164, p = 0.040), chromium (r = 0.242, p = 0.002), and nickel (r = 0.176, p = 0.026). A negative relationship was noted between magnesium (r = −0.237, p = 0.003) and calcium (r = −0.217, p = 0.007) and the extent of epicardial lesions. Conclusions: Scalp hair trace element analysis indicates the possible modulatory role of trace elements in advancing coronary artery disease. Since a significant correlation with one- and two-vessel but not with three-vessel disease was noted, it might be considered an “all or nothing” phenomenon. A positive correlation between the number of diseased coronary arteries and sodium, vanadium, chromium, and nickel and an inverse correlation with magnesium and calcium were noted. The presented analysis is hypothesis-generating, and further studies are necessary to corroborate the results from a clinical perspective.
Associations between Post-Intensive Care Syndrome Domains in Cardiac Arrest Survivors and Their Families One Month Post-Event
Authors: Rojas Danielle A. , Sayde George E. , Vega Jason S. , Tincher Isabella M. , Yuan Mina , Flanary Kristin , Birk Jeffrey L. , Agarwal Sachin
Published: September 2024

Background: Post-intensive care syndrome (PICS) affects many critical care survivors and family members. Nevertheless, the relationship between PICS-relevant domains in cardiac arrest (CA) survivors and psychological distress in their family members (henceforth, PICS-F) remains underexplored. Methods: We enrolled consecutive CA patients admitted between 16 August 2021 and 28 June 2023 to an academic medical center, along with their close family members, in prospective studies. Survivors’ PICS domains were: physical dependence (Physical Self-Maintenance Scale, PSMS), cognitive impairments (Modified Telephone Interview for Cognitive Status, TICS-M), and post-traumatic stress disorder (PTSS) symptoms (PTSD Checklist—PCL 5), as well as PICS-F (PCL-5 Total Score). Hierarchical multivariate linear regressions examined associations between PICS-F and survivors’ PICS domains. Results: Of 74 dyads (n = 148), survivors had a mean (SD) age of 56 ± 16 years, with 61% being male and with a median hospital stay of 28 days. Family members (43% spouses) were slightly younger (52 ± 14 years), predominantly female (72%), and of minority race/ethnicity (62%). A high prevalence of PICS assessed 28.5 days (interquartile range 10–63) post-CA was observed in survivors (78% physical dependence, 54% cognitive impairment, 30% PTSS) and in family members (30% PTSS). Survivor PTSS was significantly associated with family member distress (β = 0.3, p = 0.02), independent of physical dependence (β = 0.0, p = 0.9), cognitive impairment (β = −0.1, p = 0.5), family member characteristics, and duration of hospitalization. Conclusions: Both CA survivors and their family members showed substantial evidence of likely PICS. Survivor PTSS is notably associated with family member distress, highlighting the need for dyadic interventions to enhance psychosocial outcomes.
Memory in Spina Bifida, from Childhood to Adulthood: A Systematic Review
Authors: Amayra Imanol , Ruiz de Lazcano Aitana , Salgueiro Monika , Anguiano Samuel , Ureña Malena , Martínez Oscar
Published: September 2024

Background: Spina bifida (SB) is a rare congenital disease characterized by not only physical but also neuropsychological disturbances. Among these neuropsychological impairments, memory deficits are a significant concern, as they substantially hinder aspects of crucial importance in the lives of individuals with SB such as medical needs or daily life activities. The main objective is to conduct a systematic review of the current evidence on the memory deficits in the SB population, including children, adolescents, and adults. Methods: Four databases (PubMed, SCOPUS, Web of Science, and ProQuest) were systematically screened for eligible studies. Results: The present review reveals cognitive difficulties in different memory types among individuals with SB. These deficits, identified in childhood, seem to persist into adulthood. Specifically, impairments are evident in short-term memory, working memory, and long-term memory. The neuropsychological instruments applied in the studies that were included in this systematic review vary, however, most reach the same conclusions. Conclusions: The present findings underscore the importance of incorporating cognitive assessments, particularly those focused on the memory domain, into routine childhood evaluations for individuals with SB. Early identification of these cognitive difficulties allows for the timely implementation of cognitive interventions that could leverage the inherent plasticity of the developing brain, and prevent or delay the onset of these deficits in later adulthood for people with SB, ultimately improving their functionality and quality of life.
The Role of Sublobar Resection in Early-Stage Non-Small-Cell Lung Cancer
Authors: Petrella Francesco , Cara Andrea , Cassina Enrico Mario , Degiovanni Sara , Libretti Lidia , Pirondini Emanuele , Raveglia Federico , Tuoro Antonio , Vaquer Sara
Published: September 2024

The results of a prospective, multi-institutional randomized trial developed to assess the equality of sublobar resection versus standard lobectomy were first published in 1995. They concluded that, compared with lobectomy, sublobar resections did not show any significant improvement either in terms of postoperative morbidity and mortality nor in terms of late post-resectional cardiorespiratory function. Moreover, due to the higher mortality and local recurrence rate related to sublobar resection, lobectomy had to be judged as the best surgical option for patients diagnosed with peripheral early-stage non-small-cell lung cancer. Since then, lobectomy has been considered the best surgical option for fit patients suffering from early-stage non-small cell lung cancer. In 2022 and 2023, three non-inferiority randomized trials were published, comparing lobectomy with the sublobar resection in T1a N0 patients whose tumors were up to 2 cm in size. Although presenting some important differences, all three trials met their primary endpoints, disclosing the non-inferiority of sublobar resections in terms of overall and disease-free survival. This narrative review aims to compare the newly published results of these trials as well as to report results from recent non-randomized studies on this topic.
IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400
Authors: Mohammad Ahmad Saeed , Jarullah Thoalfeqar G. , Al-Kaltakchi Musab T. S. , Alshehabi Al-Ani Jabir , Dey Somdip
Published: September 2024

IoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. This study explores the growing potential of IoT-based facial recognition for mobile devices, a technology rapidly advancing within the interconnected IoT landscape. The investigation proposes a framework called IoT-MFaceNet (Internet-of-Things-based face recognition using MobileNetV2 and FaceNet deep-learning) utilizing pre-existing deep-learning methods, employing the MobileNetV2 and FaceNet algorithms on both ImageNet and FaceNet databases. Additionally, an in-house database is compiled, capturing data from 50 individuals via a web camera and 10 subjects through a smartphone camera. Pre-processing of the in-house database involves face detection using OpenCV’s Haar Cascade, Dlib’s CNN Face Detector, and Mediapipe’s Face. The resulting system demonstrates high accuracy in real-time and operates efficiently on low-powered devices like the Raspberry Pi 400. The evaluation involves the use of the multilayer perceptron (MLP) and support vector machine (SVM) classifiers. The system primarily functions as a closed set identification system within a computer engineering department at the College of Engineering, Mustansiriyah University, Iraq, allowing access exclusively to department staff for the department rapporteur room. The proposed system undergoes successful testing, achieving a maximum accuracy rate of 99.976%.
Effect of Drilling Parameters on Surface Roughness and Delamination of Ramie–Bamboo-Reinforced Natural Hybrid Composites
Authors: Kumar P Krishna , Lokeshwar Gaddam , Reddy Chamakura Uday Kiran , Jyotis Arun , Shetty Surendra , Acharya Subash , Shetty Nagaraja
Published: September 2024

Plastics reinforced with glass fiber have a significant likelihood of being replaced by natural fiber hybrid composites (NFHCs). Making holes helps in part assembly, which is a crucial activity in the machining of composite constructions. As a result, choosing the right drill bit and cutting parameters is crucial to creating a precise and high-quality hole in composite materials. The present study employs the Taguchi approach to examine the delamination behavior and hole quality of ramie–bamboo composite laminates consisting of epoxy and nano-fillers (SiC, Al2O3) with feed, spindle speed, and three distinct drill bit types. Surface roughness and delamination are significantly influenced by feed and spindle speed, as indicated by the results of the analysis of variance. It was found that the spindle speed had a major impact on the delamination factor and surface roughness, while the feed and drill bit type had a minor influence. The surface roughness (76.5%) and delamination factor (66.7%) are significantly affected by the spindle speed.
Exploring Carbon Emission Reduction in Inland Port Ship Based on a Multi-Scenario Model
Authors: Zhou Chunhui , Tang Wuao , Liu Zongyang , Huang Hongxun , Huang Liang , Xiao Changshi , Wu Lichuan
Published: September 2024

Assessing carbon emission reduction potential is vital for achieving carbon peak and neutrality in the maritime sector. In this study, we proposed a universal framework for assessing the effectiveness of different measures on carbon emission reduction from ships, including port and ship electrification (PSE), ship speed optimization (SSO), and clean fuel substitution (CFS). Firstly, the projection method of future ship traffic flows and activity levels relies on a neural network, and the ARIMA model was proposed. Then, the potential of various emission reduction measures was detailed and analyzed under different intensity scenarios. The proposed model was applied to Wuhan port, the results indicate that CFS is the most effective for long-term decarbonization, potentially achieving a carbon peak by 2025 under an aggressive scenario. For the short to medium term, PSE is favored due to technical maturity. SSO primarily delays emissions growth, making it a suitable auxiliary measure. These findings guide emission reduction strategies for ports, fostering green and sustainable shipping development.
Evaluating Smart Community Development in China from the Perspective of Residents’ Sense of Safety: An Analysis Using Criteria Importance through Intercriteria Correlation and Fuzzy Comprehensive Evaluation Approaches
Authors: Wang Chenyang , Wang Linxiu , Gu Tiantian , Hao Enyang , Chen Yujie , Zhang Huanjie
Published: September 2024

As a vital part of smart city development, smart community development is in full swing, aiming to improve residents’ sense of safety (RSS). Most research focuses on the technological innovation and infrastructure construction of smart communities; few studies have evaluated smart community development from the perspective of the RSS. Thus, this paper aims to propose a system of evaluation indicators for assessing the RSS of smart community development. After the relevant evaluation indicators were identified, an evaluation method was proposed using the CRITIC-FCE approach. To validate the feasibility of this method, 31 smart communities in China were selected in this study. The results showed the following: (1) The indicator of the highest weight was ‘cultural activities for the elderly’, while ‘overall design’ had the lowest weight, highlighting the importance of community services in enhancing the RSS of smart community development. (2) The selected cities and communities achieved a generally high level in the RSS of smart community development, and some differences were observed among them. (3) Emergency services and property services play an important role in enhancing the RSS of smart community development, with communities excelling in these areas, achieving higher overall rankings. Conversely, the score of pension service was relatively low, which is a common problem in the evaluation results, reflecting the shortcomings of the current smart community in providing pension service. Consequently, several strategies are suggested to enhance the RSS of smart community development, such as building an emergency information system based on advanced technology, establishing mobile and Internet of Things-based emergency assistance services for the elderly, and enhancing the maintenance of public facilities. This research enriches the knowledge of RSS and provides guidance for further research for the RSS of smart community development.
Diaphragm Muscle Atrophy Contributes to Low Physical Capacity in COVID-19 Survivors
Authors: Kocjan Janusz , Rydel Mateusz , Szczegielniak Jan , Bogacz Katarzyna , Adamek Mariusz
Published: September 2024

Fatigue and dyspnea are the most commonly reported long-term complaints in individuals previously infected with SARS-CoV-2. This study aimed to comprehensively evaluate diaphragm muscle function in post-COVID-19 patients and investigate whether potential diaphragm dysfunction contributes to physical functioning impairment. A total of 46 patients who qualified for pulmonary rehabilitation were examined. Diaphragm muscle function parameters were evaluated using ultrasonography, while the severity of dyspnea, aerobic capacity, and the amount of energy used by the body during physical activity were assessed using the six-minute walk test, mMRC scale, and Metabolic Equivalent Task (MET), respectively. We identified that 69.5% of patients had diaphragm atrophy and 6.5% had diaphragm paralysis. The percentage of atrophy was not related to age, gender, BMI, oxygen therapy usage during the COVID-19 infection course, and disease severity. Patients who experienced cough, fever, and no loss of smell during the COVID-19 course had significantly greater diaphragm inspiratory thickness values, while patients with cough and no smell disorders had a significantly lower percentage of diaphragm atrophy. Diaphragm functional parameters were strongly associated with selected variables of exercise tolerance, such as distance in the six-minute walk test, oxygen saturation levels, fatigue, and exertion on the Borg scale. In conclusion, diaphragm muscle dysfunction is a serious long-term post-COVID-19 consequence and can be viewed as a major contributing factor to prolonged functional impairments.