工程技术最新文献

{"title":"Quantifying Cervical Rotation Smoothness: Exploring Various Jerk Metrics and Test-Retest Reliability of Jerk, Range of Motion, and Head Repositioning Accuracy.","authors":"Morten Bilde Simonsen, Tróndur Fríði Tróndarson, Diego Martínez-Echevarría, Thorvaldur Skúli Pálsson, Steffan Wittrup McPhee Christensen","doi":"10.1016/j.jbiomech.2024.112448","DOIUrl":"10.1016/j.jbiomech.2024.112448","url":null,"abstract":"<p><p>The assessment of smoothness, range of motion (ROM), and head repositioning accuracy (HRA) has gained attention in identifying sensorimotor impairments. Uncertainty persists on the approach for acquiring reliable measures, including choice of smoothness metric, normalization factors, and the required number of measurements for reliable results. This study aimed to address this uncertainty. Thirty healthy participants were included in this single-session randomized cross-over study. The experiment consisted of two parts. One focused on the test-retest assessment of head ROM into right rotation to the end of range from a neutral position using a self-selected movement speed and the HRA when returning to the start-position. In the other part, participants repeated the previous tasks and performed head rotations at slower and faster speeds than their self-selected pace and to the beat of a metronome. All tasks were repeated ten times. For the test-retest, the inter-class-correlation (ICC) values for ROM were between 0.84-0.91, 0.20-0.31 for HRA, and 0.65-0.90 for jerk for 1-10 repetitions. Normalizing jerk through v_mean and v_peak had similar variability and appeared equally valid for our data. However, normalizing by v_max ensures desirable properties in the smoothness metric. Lower variability was observed when standardizing movements using a metronome. Based on test-retest findings, three repetitions are recommended, as ICC values show marginal improvement beyond 2-3 repetitions, providing limited additional value.</p>","PeriodicalId":15168,"journal":{"name":"Journal of biomechanics","volume":"178 ","pages":"112448"},"PeriodicalIF":2.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142780033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the therapeutic effects of Shenzhiling oral liquid on Alzheimer's disease: a network pharmacology and experimental approach.","authors":"Gaofeng Qin, Rongqiang Song, Jingyi Sun, Bing Chen, Zhe Liu, Lei Han, Baoliang Sun, Chen Li","doi":"10.1007/s13205-024-04181-6","DOIUrl":"https://doi.org/10.1007/s13205-024-04181-6","url":null,"abstract":"<p><p>There is currently no effective treatment for Alzheimer's disease (AD). This research explored Shenzhiling Oral Liquid (SZLD) against AD by pinpointing crucial elements and understanding its molecular mechanisms through network pharmacology and in vitro experiment. First, we used network pharmacology to screen the main targets and mechanisms of SZLD to improve AD. Then we conducted experiments with Aβ42-induced SH-SY5Y cells to assess SZLD's impact, focusing particularly on apoptotic pathways, thereby uncovering its mechanism of action in AD. Through our analysis, we discovered a notable link between SZLD's effect on AD and apoptosis processes. Specifically, the critical proteins Casapse3 and BCL-2 showed strong correlations in this context. Through systematic data analysis and experimental verification, we unveiled the healing advantages and the foundational molecular mechanisms of SZLD in AD. These findings underscore the promising and compelling potential of targeting the PI3K/Akt signaling pathway and apoptosis with SZLD as a therapeutic strategy to ameliorate AD.</p>","PeriodicalId":7067,"journal":{"name":"3 Biotech","volume":"15 1","pages":"14"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11652558/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification and bibliometric analysis of hydrogels in periodontitis treatment: Trends, mechanisms, advantages, and future research directions.","authors":"Reena Das, Nisha Suryawanshi, Nishant Burnase, Anand Barapatre, Rajathirajan Siva Dharshini, Bikash Kumar, Pachaiyappan Saravana Kumar","doi":"10.1016/j.dental.2024.10.017","DOIUrl":"10.1016/j.dental.2024.10.017","url":null,"abstract":"<p><strong>Objectives: </strong>The review assess the potential of hydrogel-based drug delivery systems in treating periodontitis. Hydrogels are classified based on source, composition, configuration, crosslinking methods, ionic charge, and response to stimuli.</p><p><strong>Methods: </strong>The methodology comprised of comprehensive data collection from WoS, Scopus and PubMed databases covering the period of 2004-2024 of 626 documents. A bibliometric analysis was conducted using VOS Viewer to identify research trends, key contributors, prominent topics, and leading journals. A comparative analysis was performed to examine the benefits of hydrogels over conventional periodontitis treatments. Current research and innovations in hydrogel formulations were reviewed, including ongoing clinical trials and commercial products.</p><p><strong>Results: </strong>China was found to be the leading contributor to hydrogel research in periodontitis, with key topics including \"hydrogels,\" \"nanoparticles,\" and \"drug delivery.\" A detailed classification system for hydrogels was established, aiding in their application for targeted drug delivery and tissue regeneration. Hydrogels were found to offer controlled drug release, support for tissue regeneration, and improved clinical outcomes compared to traditional treatments. Innovations highlighted including the use of various polymers like nano-hydroxyapatite/collagen composites, PLGA-based materials, and chitosan gels in clinical trials, demonstrating enhanced cell proliferation and tissue regeneration.</p><p><strong>Significance: </strong>This review underscores the significant potential of hydrogel-based therapies in advancing the treatment of periodontitis. By providing a comprehensive bibliometric analysis and highlighting key research and innovations, it emphasizes the advantages of hydrogels in terms of targeted drug delivery, minimal invasiveness, and support for tissue regeneration. The findings suggest that with further clinical trials and regulatory approvals, hydrogels could become a mainstream, effective treatment option for periodontitis, offering improved patient outcomes and potentially transforming periodontal therapy.</p>","PeriodicalId":298,"journal":{"name":"Dental Materials","volume":" ","pages":"81-99"},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ring-Enhancement on CEUS: Is it Useful in the Differential Diagnosis of Solid Thyroid Nodules?","authors":"Tingting Li, Lijuan Mao, Xi Wang, Cuixian Li, Caihong Dong, Wenqing Wu, Hantao Wang, Qing Lu","doi":"10.1177/01617346241291511","DOIUrl":"10.1177/01617346241291511","url":null,"abstract":"<p><p>To investigate the efficiency of contrast-enhanced ultrasound (CEUS) features, particularly ring-enhancement patterns, in the differential diagnosis of thyroid nodules. 302 nodules with CEUS ring-enhancement were retrospectively enrolled, including 135 benign and 167 malignant ones. The ring-enhancement patterns were classified into regular and irregular hyper- or hypo-ring enhancement. Comparative analyses of ultrasound (US) and CEUS features between benign and malignant nodules were performed. The diagnostic performances of the ring-enhancement patterns and Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) were compared in nodules with different sizes. Irregular hypo-ring enhancement was much more common in malignancies than that in benign ones, and it was an independent predictor for thyroid malignant nodules. With irregular hypo-ring enhancement as the diagnostic criteria for malignant nodules, the specificity was higher than that of C-TIRADS (85.2% vs. 75.6%, <i>p</i> = .037) while the AUC was comparable (0.845 vs. 0.803, <i>p</i> = .136) in all nodules. When the nodule size was taken into account, the specificity and AUC were both significantly higher than those of C-TIRADS (92.8% vs. 81.1%, <i>p</i> = .021; 0.907 vs. 0.823, <i>p</i> = .026) in nodules ≥10 mm, which can decrease the unnecessary FNA rate. Irregular hypo-ring enhancement was a valuable CEUS feature for the differential diagnosis of thyroid nodules, especially in nodules ≥10 mm.</p>","PeriodicalId":49401,"journal":{"name":"Ultrasonic Imaging","volume":" ","pages":"37-44"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142478963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of novel inhibitors from <i>Rubus ellipticus</i> as anti-leishmanial agents targeting DDX3-DEAD box RNA helicase of <i>Leishmania donovani</i>.","authors":"Vinita Gouri, Gargi Roy, Akanksha Kanojia, Sumeet Singh, Rohini Muthuswami, Mukesh Samant","doi":"10.1007/s13205-024-04183-4","DOIUrl":"https://doi.org/10.1007/s13205-024-04183-4","url":null,"abstract":"<p><p>Visceral leishmaniasis (VL), caused by <i>Leishmania donovani</i>, remains challenging to treat due to severe side effects and increasing drug resistance associated with current chemotherapies. Our study investigates the anti-leishmanial potential of <i>Rubus ellipticus</i> from Uttarakhand, India, with extracts prepared from leaves and stems using ethanol and hexane. Advanced GC-MS analysis identified over 100 bioactive compounds, which were screened using molecular docking to assess their binding to LdHEL-67, a DDX3-DEAD box RNA helicase of <i>L.</i> donovani. Our results spotlighted nine major compounds with high binding energy, which were then further analyzed for ADMET properties and toxicity predictions, demonstrating their promising pharmacokinetic profiles. Among these, clionasterol emerged as the standout compound, displaying superior results in all in silico analyses compared to Amphotericin B (the control). Notably, clionasterol was present in significant proportions across all the mentioned extracts. Subsequent treatment with these extracts led to a remarkable reduction in the intracellular amastigote and axenic amastigote, and promastigote forms of <i>L. donovani</i> and non-toxic to THP-1-derived macrophages. Moreover, the extracts induced apoptotic effects, as evidenced by the fragmentation of parasitic genomic DNA. This study marks a significant leap in developing herbal-based, target-specific inhibitors against VL. Hence, our findings highlight the immense potential of <i>R. ellipticus</i> as a natural treatment for VL.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13205-024-04183-4.</p>","PeriodicalId":7067,"journal":{"name":"3 Biotech","volume":"15 1","pages":"18"},"PeriodicalIF":2.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11659541/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BHBA-GRNet: Cancer detection through improved gene expression profiling using Binary Honey Badger Algorithm and Gene Residual-based Network.","authors":"Reza Nourian, Seyed Ahmad Motamedi, Mohammadreza Pourfard","doi":"10.1016/j.compbiomed.2024.109348","DOIUrl":"10.1016/j.compbiomed.2024.109348","url":null,"abstract":"<p><p>Cancer, a pervasive and devastating disease, remains a leading global cause of mortality, emphasizing the growing urgency for effective detection methods. Gene Expression Microarray (GEM) data has emerged as a crucial tool in this context, offering insights into early cancer detection and treatment. While deep learning methods offer promise in detecting various cancers through GEM analysis, they suffer from high dimensionality inherent in gene sequences, preventing optimal detection performance across diverse cancer types. Additionally, existing methods often resort to synthetic features and data augmentation to enhance performance. To address these challenges and enhance accuracy, a novel Binary Honey Badger Algorithm (BHBA) integrated with the Gene Residual Network (GRNet) method has been proposed. Our approach capitalizes on BHBA's feature reduction mechanism, eliminating the need for additional preprocessing steps. Comprehensive evaluations on three well-established datasets representing lung and blood-type cancers demonstrate that our method reduces GEM data size by approximately 40 % and achieves a superior accuracy improvement of around 1 % in lung cancer types compared to state-of-the-art methods.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109348"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Stroop: Integrating eye tracking and speech processing to characterize people with neurodegenerative disorders while performing neuropsychological tests.","authors":"Trevor Meyer, Anna Favaro, Esther S Oh, Ankur Butala, Chelsie Motley, Pedro Irazoqui, Najim Dehak, Laureano Moro-Velázquez","doi":"10.1016/j.compbiomed.2024.109398","DOIUrl":"10.1016/j.compbiomed.2024.109398","url":null,"abstract":"<p><p>Neurodegenerative diseases (NDs) can be difficult to precisely characterize and monitor as they present complex and overlapping signs despite affecting different neural circuits. Neuropsychological tests are important tools for assessing signs, but only considering patient-generated output can limit insight. Here, we present an improvement to the neuropsychological test evaluation paradigm by deeply characterizing patient interaction and behavior during tests based on multiple perspectives alongside typically evaluated output by performing multi-modal analysis of eye movement and speech data. Using the well-known Stroop Test, we compare behaviors of healthy controls to patients with Alzheimer's Disease (AD), Mild Cognitive Impairment, Parkinson's Disease (PD), and secondary Parkinsonism. We maximize accessibility and reproducibility by automatically extracting metrics, including eye motor behavior, speech patterns, and multimodal interplay, with almost no human input required. We find many metrics including increased horizontal saccade distances sensitive to all NDs, delayed task initiation in AD, response error patterns and blinking patterns that differ between AD and PD. Our metrics show both significantly different distributions between disease groups and simultaneous correlation with the MoCA and MDS-UPDRS-III clinical rating scales. Our findings show the utility of incorporating several perspectives into one output representation, as our metric breadth creates unique sign profiles that quantify and visualize a patient's dysfunction. These metrics provide much better sign characterization between diseases and correlation with disease severity than traditional Stroop measures. This methodology offers the potential to expand its application to other traditional neuropsychological tests, shifting the paradigm in diagnostic precision for NDs and advancing patient care.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109398"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of a nutrition education programme for individuals with celiac disease and their supporters through social media (GLUTLEARN project).","authors":"Maialen Vázquez-Polo, Virginia Navarro, Idoia Larretxi, Gesala Perez-Junkera, Arrate Lasa, Jonatan Miranda, Itziar Churruca","doi":"10.1016/j.compbiomed.2024.109505","DOIUrl":"10.1016/j.compbiomed.2024.109505","url":null,"abstract":"<p><strong>Introduction: </strong>Social media has become a popular tool for patients with Celiac Disease (CD) to find information about their disease. However, limited research has been conducted to evaluate the impact of information shared on social media, specifically regarding CD.</p><p><strong>Objetive: </strong>This study aimed to assess the effectiveness of a nutrition education program on CD and gluten-free diet (GFD) delivered through social networks by experts in the field.</p><p><strong>Method: </strong>The program, called GLUTLEARN, was delivered over six weeks via Instagram to individuals with CD and their supporters (people involved in the care of individuals with CD). Pre and post-intervention questionnaires were used to evaluate the program's effectiveness.</p><p><strong>Results: </strong>A total of 93 participants (63 with CD, 30 supporters), predominantly female (92.5 %) and European (93.5 %), took part in the program. GLUTLEARN has been found to be effective in improving the knowledge of people with CD and their supporters and improving attitudes among individuals. Furthermore, they showed a high level of concern about the disease and an interest in continuous learning.</p><p><strong>Conclusion: </strong>Social networks give advantages for promoting nutrition education. Nevertheless, it is important to feed these nets with reliable information. The GLUTLEARN program is a valuable method for delivering reliable and current education about CD and the GFD, which leads to better disease control. It would be beneficial for more interventions to focus not only on individuals with CD but also on those who are avoiding gluten for various reasons or are involved in their care.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109505"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network procedures for the cholera disease system with public health mediations.","authors":"Mohammad F Alharbi","doi":"10.1016/j.compbiomed.2024.109471","DOIUrl":"10.1016/j.compbiomed.2024.109471","url":null,"abstract":"<p><p>Severe gastrointestinal infections and watery diseases like cholera are still a major worldwide medical concern in the developing nations. A mathematical system contains some necessary dynamics based on the cholera spread to investigate the influence of public health education movements along with treatment and vaccination as control policies in restraining the infection. The cholera disease system with public health mediations divide the density of human population into seven categories based on the status of diseases, who are susceptible, educated, vaccinated, quarantined, infected, treated and removed individuals along with the aquatic bacteria population. The motive of current research is to present the numerical performances of the cholera disease system with public health mediations by using a stochastic computing process based on the Bayesian regularization neural network. A data is constructed by using a conventional Adam scheme that reduces the mean square error by distributing the data into training, validation and testing with some reasonable percentages. Twenty-five neurons, and sigmoid fitness function are used in the stochastic process to solve the model. The accuracy is justified by using comparison of the results, absolute error around 10-06 to 10-08 and some statistical operator performances.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109471"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the physiological effects of multiple drugs using electronic health record.","authors":"Junhyeok Jeon, Eujin Hong, Jong-Yeup Kim, Suehyun Lee, Hyun Uk Kim","doi":"10.1016/j.compbiomed.2024.109485","DOIUrl":"10.1016/j.compbiomed.2024.109485","url":null,"abstract":"<p><p>Various computational models have been developed to understand the physiological effects of drug-drug interactions, which can contribute to more effective drug treatments. However, they mostly focus on interactions of only two drugs, and do not consider the patient information. To address this challenge, we use publicly available electronic health record (EHR), MIMIC-IV, to develop machine learning models that predict the physiological effects of two or more drugs. This study involves extensive preprocessing of laboratory measurement data, prescription data and patient data. The resulting machine learning models predict potential abnormalities across 20 selected measurement items (e.g., concentrations of metabolites and blood cells) in the form of a sentence. Analysis of the model predictions showed that age, specific active pharmaceutical ingredients, and male/female appeared to be the most influential features. The model development process showcased in this study can be extended to other measurement items for a target EHR.</p>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"184 ","pages":"109485"},"PeriodicalIF":7.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}