bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research and application of tongue and face diagnosis based on deep learning
Authors: Feng Li , Huang Zong Hai , Zhong Yan Mei , Xiao WenKe , Wen Chuan Biao , Song Hai Bei , Guo Jin Hong 
Published: September 2022

Objective To explore the technical research and application characteristics of deep learning in tongue-facial diagnosis. Methods Through summarizing the merits and demerits of current image processing techniques used in the traditional medical tongue and face diagnosis, the research status of deep learning in tongue image preprocessing, segmentation, and classification was analyzed and reviewed, and the algorithm was compared and verified with the real tongue and face image. Images of the face and tongue used for diagnosis in conventional medicine were systematically reviewed, from acquisition and pre-processing to segmentation, classification, algorithm comparison, result from analysis, and application. Results Deep learning improved the speed and accuracy of tongue and face diagnostic image data processing. Among them, the average intersection ratio of U-net and Seg-net models exceeded 0.98, and the segmentation speed ranged from 54 to 58 ms. Conclusion There is no unified standard for lingual-facial diagnosis objectification in terms of image acquisition conditions and image processing methods, thus further research is indispensable. It is feasible to use the images acquired by mobile in the field of medical image analysis by reducing the influence of environmental and other factors on the quality of lingual-facial diagnosis images and improving the efficiency of image processing.
Effect of Soft Tissue Interposition and Postoperative Suspensory Cortical Button Migration on Functional Outcomes and Ligamentization After Single-Bundle ACL Reconstruction
Authors: Özbek Emre Anıl , Kocaoğlu Hakan , Karaca Mustafa Onur , Terzi Mustafa Mert , Dursun Merve , Akmeşe Ramazan 
Published: September 2022

Background: Soft tissue interposition between a suspensory cortical button and the lateral femoral condyle is the most common cause of postoperative suspensory cortical button migration in patients undergoing anterior cruciate ligament reconstruction (ACLR). Purpose: To investigate the effects of soft tissue interposition and suspensory cortical button migration after ACLR on functional outcomes and graft ligamentization. Study Design: Cohort study; Level of evidence, 3. Methods: Included were 249 patients who underwent single-bundle ACLR with hamstring tendon autografts. To measure soft tissue imposition, the patients were divided into 2 groups: those in whom the suspensory cortical button was in contact with (group 1) or at least 1 mm away from (group 2) the lateral femoral condyle on 1-day postoperative radiographs. To measure suspensory cortical button migration, the patients in group 2 were further divided into 2 subgroups: those with button migration (group M) and those without migration (group non-M) as observed on 12-month postoperative radiographs. Ligamentization was evaluated according to Howell classification (grades 1-4) on 12-month follow-up magnetic resonance imaging scans. Also recorded were preoperative and 24-month postoperative Lysholm and Tegner scores and 24-month postoperative arthrometer measurements for anterior knee laxity. Results: There was no significant difference between groups 1 and 2 or between groups M and non-M in terms of demographic characteristics or additional intra-articular pathologies detected intraoperatively. Normal anterior laxity (<3 mm) was detected in 83.7% of the patients postoperatively, and all patients showed statistically significant pre- to postoperative improvement on the Tegner (from 4.1 to 4.3) and Lysholm (from 44.0 to 89.2) scores ( P < .05 for both). No significant difference in postoperative functional results or graft ligamentization was found between either the soft tissue interposition groups (groups 1 and 2) or the suspensory cortical button migration groups (groups M and non-M). Conclusion: Differences between patients in soft tissue interposition and suspensory cortical button migration did not significantly affect postoperative clinical or functional outcomes or graft ligamentization after single-bundle ACLR.
Association of Preexisting Mental Health Conditions With Increased Initial Symptom Count and Severity Score on SCAT5 When Assessing Concussion
Authors: Schulze Kathryn J. , Robinson Michael , MacKenzie Heather M. , Dickey James P. 
Published: September 2022

Background: Mental health conditions, such as depression, anxiety, and learning disabilities, are associated with symptoms that can overlap with those seen in persons with concussion. While concussion screening tools such as the Sport Concussion Assessment Tool–5th Edition (SCAT5) quantify the number of symptoms and symptom severity, it is not known whether these outcomes differ among individuals with concurrent mental health conditions compared with those without them. Purpose: To determine whether, during initial concussion assessment, individuals with a self-reported mental health condition have a significantly different number of self-reported concussion symptoms or symptom severity compared with those without a self-reported mental health condition (controls). Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective chart review was performed on consecutive patients aged ≥13 years who underwent post-concussion assessment at the Fowler Kennedy Sport Medicine Clinic between May 2018 and March 2020 (N = 765). Most participants did not self-report a mental health condition (n = 606; 79.2%). Participants with a self-reported mental health condition (n = 159) were classified as having a learning disability (n = 14; 8.8%), anxiety (n = 62; 39.0%), depression (n = 20; 12.6%), or multiple conditions (≥2 conditions: n = 63; 39.6%). Each participant with a mental health condition was matched with 2 control participants (overall pool, n = 318) based on age, sex, student status, and sport-related risk. Mann-Whitney U tests were used to determine the statistical significance of differences between each subgroup and their matched controls for the self-reported number of concussion symptoms and symptom severity as measured using the SCAT5. Results: The anxiety and multiple-conditions subgroups had a significantly greater number of reported symptoms than their corresponding control subgroups (median, 17 vs 15 [ P = .004] and 18 vs 14.5 [ P < .001], respectively). Additionally, the SCAT5 symptom severity score was significantly greater in the anxiety and multiple-conditions subgroups than their corresponding controls (median, 49 vs 34.5 [ P = .018] and 62 vs 32 [ P < .001], respectively). Conclusion: During initial concussion assessment, both the number of concussion-related symptoms and the symptom severity were greater in study participants with anxiety and multiple mental health conditions than participants without these conditions.
Sociodemographic Changes and Oral Health Inequities: Dental Workforce Considerations
Authors: Inglehart M.R. , Albino J. , Feine J.S. , Okunseri C. 
Published: September 2022

Background: By midcentury, the US population will be remarkably more racially and ethnically diverse, with a dramatic increase in the proportion of older adults. This report addresses ongoing oral health disparities and inequitable access to care related to these changes, with emphasis on implications for the workforce, taking note of effects of the COVID-19 pandemic. Relevant Considerations: Considering that social determinants shape health behaviors, reflection on the most effective type of dental workforce should take into account population characteristics and the relationship of oral health with overall health and general well-being. The dental workforce composition will need to mirror changing demographics, and effective dental health teams will be characterized by cultural competence, humility, readiness, and capacity to adapt to changes. In addition, the influence of social histories and the pandemic on health and dental care utilization is important. Equally important are the inclusion of oral health literacy in treatment planning and disease prevention, as well as oral health–related quality of life in considering outcomes of care. Providing patient-centered care for a diverse population requires tailored treatment modalities, as well as intra- and interprofessional approaches. In this way, the whole person can be cared for, including those with special health care needs, whether related to chronic disease, mental health conditions, or behavioral, physical, and social differences. Conclusions: Changing demographics will affect the delivery of oral health care, including who can best provide care and how, what the needs are, and in what ways prevention and treatment can most effectively be accomplished. The education of dentists must address unmet population needs, including for those with special health care concerns and older adults. These population groups are influenced by a variety of social determinants, and provision of services may need to occur in alternative care delivery settings. Identifying and addressing the needs of every patient within this broad array of new requirements will challenge dental professionals to redefine what it means to be a health care practitioner. Knowledge Transfer Statement: This article describes how sociodemographic changes in the United States will challenge the dental workforce in new ways and points to research and practice needs to address these challenges. Oral health disparities and the changing oral health care needs of patients from diverse and underserved groups are discussed, with a focus on the implications for delivery of care and policies that are needed to improve oral health outcomes for all.
The Changing Face of Dentistry: Perspectives on Trends in Practice Structure and Organization
Authors: Atchison K.A. , Fellows J.L. , Inge R.E. , Valachovic R.W. 
Published: September 2022

An expert panel on trends in dental practice structure and organization was convened as part of the University of Washington Continuing Dental Education program entitled “The Changing Face of Dentistry.” This article presents the results of the authors’ perspectives related to the ongoing trends in these areas; the ways in which events in the previous year, including the COVID-19 pandemic, had modified these trends; and the ways in which dentistry should respond to these trends. Knowledge Transfer Statement: This perspective is intended to stimulate thoughts by clinicians, researchers, and educators about needed trends to the dental profession. With consideration of changes needed within the dental profession, improvements and implementation of diagnostic coding and value-based care could result in improved oral health for numerous Americans.
The Forefront of Dentistry—Promising Tech-Innovations and New Treatments
Authors: DaSilva A.F. , Robinson M.A. , Shi W. , McCauley L.K. 
Published: September 2022

Change in our world is happening quickly. For dentistry, this is no exception, and now is the time to foster new opportunities. Advances in the foundational science of dental, oral, and craniofacial health are expanding and enabling personalized care built on strong discoveries in the fields of microbiology, immunology, and neuroscience. Digital communication through electronic health records, patient portals, and teledentistry is emerging as vital new armamentarium for contemporary dental practice. Wearables linked with smartphone apps are trending to monitor pain levels, postoperative symptoms, wound healing, and home oral health habits. Oral fluid diagnostics are rapidly surfacing for use in diagnostics, drug testing, and hormone detection. Manipulation of the oral microbiome is under investigation for caries management and for potential impact on systemic conditions. Resolving mediators of inflammation are promising for addressing the chronic inflammation that plagues periodontal patients. New imaging modalities paired with digital approaches and 3-dimensional printing are formulating disruptions in the technical aspects of dentistry. Augmented reality and virtual reality are providing great potential as teaching tools for dental students and bear promise for lifelong learning for providers. Optimization of information technology and the incorporation of data science partnered with artificial intelligence and machine learning to improve patient care in a learning health care system approach will benefit large numbers of patients. These are exciting times for our profession, yet we need to navigate these paths carefully. Technology needs to significantly and positively change the experience of those involved (patients, dentists, staff, payors). New technologies need to be backed with solid research and implementation science. Automation should focus on improving care with attention to expanding care to the underserved and not lose the critical human connection that our patients need. There is great potential in the emerging innovations yet also great responsibility to ensure they are evidence based on rigorous science and deployable with equity and sensitivity. Knowledge Transfer Statement: This article discusses innovations in technology and treatments that have enormous potential to revolutionize our dental care, including novel concepts in electronic health records, communication between dentists and patients, biologics around diagnosis and treatment, digital dentistry, and, finally, the real-time optimization of information technology. The early implementation and validation of these innovations can drive down their costs and provide better dental and medical services to all members of our society.
Tubercular DNA PCR of ocular fluids and blood in cases of presumed ocular tuberculosis: a pilot study
Authors: Chawla Rohan , Singh Mithalesh K. , Singh Lata , Shah Pooja , Kashyap Seema , Azad Shorya , Venkatesh Pradeep , Sen Seema 
Published: September 2022

Background: The definitive diagnosing of ocular tuberculosis (TB) is difficult; therefore, there is a need of better understanding of investigating TB DNA in presumed ocular TB patients. Objectives: The aim of this study is to correlate tubercular DNA PCR of aqueous/vitreous and blood in cases of presumed ocular TB. Design: A prospective study. Methods: DNA was extracted from aqueous of cases of choroidal tuberculoma (group 1) and serpiginous choroiditis (group 2) and from vitreous of cases of vasculitis (group 3) and macular hole/retinal detachment (group 4). Gel-based PCR and real-time PCR amplification were performed using IS6110 primer on ocular fluids. The same was also performed on the blood samples of cases in which tubercular DNA was detected in the ocular fluids. Results: Overall, 31 cases were analysed in our study. Tubercular DNA was detected in ocular fluids of seven cases: group 1, two cases (67%); group 2, one case (17%); group 3, four cases (27%); and no case of group 4. Blood samples of six of these seven patients were positive for tubercular DNA. Of these six patients, four had evidence of systemic TB and were on ATT. Two cases had no evidence of active systemic TB, yet PCR was positive from blood and ocular fluids. Conclusion: Tubercular DNA detected from ocular fluids may possibly be due to bystander DNA and may not indicate primary ocular tubercular infection. Thus, caution must be exercised prior to labelling a case of uveitis as being tubercular based on the results of molecular assays on ocular fluids alone. The results of PCR on ocular fluids should be correlated with PCR on blood and systemic findings.
Outcomes of patients with aggressive B-cell lymphoma after failure of anti-CD19 CAR T-cell therapy: a DESCAR-T analysis
Authors: Di Blasi Roberta , Le Gouill Steven , Bachy Emmanuel , Cartron Guillaume , Beauvais David , Le Bras Fabien , Gros François-Xavier , Choquet Sylvain , Bories Pierre , Feugier Pierre , Casasnovas Olivier , Bay Jacques Olivier , Mohty Mohamad , Joris Magalie , Gastinne Thomas , Sesques Pierre , Tudesq Jean-Jacques , Vercellino Laetitia , Morschhauser Franck , Gat Elodie , Broussais Florence , Houot Roch , Thieblemont Catherine 
Published: September 2022

Abstract
Anti-CD19 chimeric antigen receptor (CAR) T-cells represent a major advance in the treatment of relapsed/refractory aggressive B-cell lymphomas. However, a significant number of patients experience failure. Among 550 patients registered in the French registry DESCAR-T, 238 (43.3%) experienced progression/relapse, with a median follow-up of 7.9 months. At registration, 57.0% of patients presented an age-adjusted International Prognostic Index of 2 to 3, 18.9% had Eastern Cooperative Oncology Group performance status ≥2, 57.1% received &gt;3 lines of treatment prior to receiving CAR T-cells, and 87.8% received bridging therapy. At infusion, 66% of patients presented progressive disease, and 38.9% had high lactate dehydrogenase (LDH). Failure after CAR T-cell treatment occurred after a median of 2.7 months (range: 0.2-21.5). Fifty-four patients (22.7%) presented very early failure (day [D] 0-D30); 102 (42.9%) had early failure (D31-D90), and 82 (34.5%) had late (&gt;D90) failure. After failure, 154 patients (64%) received salvage treatment: 38.3% received lenalidomide, 7.1% bispecific antibodies, 21.4% targeted treatment, 11% radiotherapy, and 20% immunochemotherapy with various regimens. Median progression-free survival was 2.8 months, and median overall survival (OS) was 5.2 months. Median OS for patients failing during D0-D30 vs after D30 was 1.7 vs 3.0 months, respectively (P = .0001). Overall, 47.9% of patients were alive at 6 months, but only 18.9% were alive after very early failure. In multivariate analysis, predictors of OS were high LDH at infusion, time to CAR-T failure &lt;D30, and high C-reactive protein at infusion. This multicentric analysis confirms the poor outcome of patients relapsing after CAR T-cell treatment, highlighting the need for further strategies dedicated to this population.
A transcriptome analysis of basal and stimulated VWF release from endothelial cells derived from patients with type 1 VWD
Authors: Kloosterman Robert , Zago-Schmitt Matteo , Grabell Julie , Thibeault Lisa , De Lima Patricia A. , Bowman Mackenzie , Tyryshkin Kathrin , Hindmarch Charles C. T. , Renwick Neil , James Paula 
Published: September 2022

AbstractType 1 von Willebrand disease (VWD) is associated with a reduction in qualitatively normal von Willebrand factor (VWF). Current diagnostic guidelines only take into consideration the contribution of basal VWF levels, despite a lack of correlation with bleeding severity. Defects in stimulated VWF release, which occurs after hemostatic challenge, may contribute to bleeding in type 1 VWD, but the pathogenic mechanisms are poorly defined. In this study, a layered multiomic approach including messenger RNA (mRNA) and microRNA (miRNA) sequencing was used to evaluate transcriptome-wide differences between type 1 VWD- and control-derived endothelial colony forming cells (ECFCs) during basal and stimulated VWF release. ECFCs from 8 patients with type 1 VWD and 4 other patients were included in this study as controls. VWF protein analysis revealed heterogenous responses to stimulation among type 1 VWD and control ECFCs. During basal VWF release, 64 mRNAs and 7 miRNAs were differentially regulated between type 1 VWD and control ECFCs, and 65 putatively pathogenic miRNA-mRNA interactions were identified. During stimulated VWF release, 190 mRNAs and 5 mRNAs were differentially regulated between type 1 VWD and control ECFCs, and 110 putatively pathogenic miRNA-mRNA interactions were identified. Five gene ontology terms including coagulation, regulation of cell shape, and regulation of cell signaling were also differentially regulated in type 1 VWD ECFCs during stimulated release. To our knowledge, we have shown for the first time that transcriptome-wide differences exist between type 1 VWD and control ECFCs. These differences may contribute to bleeding in type 1 VWD, and further investigation may reveal novel biomarkers and therapeutic targets.
Study on Chip Formation Mechanism of Single Crystal Copper Using Molecular Dynamics Simulations
Authors: Zhang Peng , Li Xinjian , Zhang Jiansheng , Zhang Yi , Huang Xiaoguang , Ye Guigen 
Published: September 2022

AbstractNano-cutting is an important development direction of the modern manufacturing technology. However, the research on the mechanism underlying nano-cutting lags far behind the practical application, which restricts the development of this advanced manufacturing technology. The chip formation process is the basic process of nano-cutting, and it is of key importance for the mechanism research of nano-cutting. In this paper, the nano-tensile behavior of single crystal copper was studied based on the molecular dynamics simulations. The toughness and brittleness characteristics of the copper at different temperatures were analyzed. Then, the molecular dynamics simulations of nano-cutting for single crystal copper with different toughness and brittleness were studied. The crystal structure, cutting force, stress–strain distribution and atomic motion characteristics were systematically investigated. The nano-chip formation mechanism of single crystal copper was revealed. The results show that the chip is formed through two ways, namely the shear and extrusion. The material near the free surface of the workpiece undergoes continuous shear slip and periodic long-distance slippage along the primary shear direction, forming the block chip in which the FCC and HCP structures are orderly distributed. The material near the tool-chip interface is extruded by the tool, block chip and stagnation zone to form the flowing chip with amorphous structure. As the temperature increases, the occurrence frequency of long-distance slippage in the block chip increases, while the slippage degree decreases. Besides, with the increase in temperature, the thickness of block chip formed by shear slip decreases, while the thickness of flowing chip formed by extrusion increases.
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis
Authors: Chu He-Ming , Liu Jin-Xing , Zhang Ke , Zheng Chun-Hou , Wang Juan , Kong Xiang-Zhen 
Published: September 2022

AbstractBiclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data, which are processed by biclustering method. A binary matrix is usually converted from pre-processed gene expression data, which can effectively reduce the interference from noise and abnormal data, and is then processed using a biclustering algorithm. However, biclustering algorithms of dealing with binary data have a poor balance between running time and performance. In this paper, we propose a new biclustering algorithm called the Adjacency Difference Matrix Binary Biclustering algorithm (AMBB) for dealing with binary data to address the drawback. The AMBB algorithm constructs the adjacency matrix based on the adjacency difference values, and the submatrix obtained by continuously updating the adjacency difference matrix is called a bicluster. The adjacency matrix allows for clustering of gene that undergo similar reactions under different conditions into clusters, which is important for subsequent genes analysis. Meanwhile, experiments on synthetic and real datasets visually demonstrate that the AMBB algorithm has high practicability.