bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of transcranial direct current stimulation and sensorimotor training in anterior cruciate ligament patients: a sham-controlled pilot study
Authors: Reuter Sven , Lambert Christophe , Schadt Maja , Imhoff Andreas B. , Centner Christoph , Herbst Elmar , Stöcker Fabian , Forkel Philipp 
Published: April 2024

Abstract
Background Studies showed changes in the central nervous system in patients who sustained an anterior cruciate ligament tear. There is a lack of evidence regarding the effectiveness of transcranial direct-current stimulation in such patients.
Methods A sham-controlled randomised study. One group of patients (n = 6) underwent 6 weeks of sensorimotor training after an anterior cruciate ligament tear during transcranial direct-current stimulation. The stimulation consisted of 20 minutes (3 sessions/week; 2 weeks) of 2 mA anodal transcranial direct-current stimulation over the primary motor and premotor cortex. The second group (n = 6) received sham stimulation with 6 weeks of sensorimotor training. Centre of pressure deviations in the medio-lateral and anterior-posterior direction and centre of pressure velocity were measured.
Results The results demonstrated a significant effect of sensorimotor training on the centre of pressure in medio-lateral and anterior-posterior direction (p=0.025) (p=0.03) in the leg in which an anterior cruciate ligament tear occurred. The type of training did not affect the results. Post-hoc tests showed no significant effect of training in the subgroups (p≥0.115).
Conclusion Sensorimotor training led to a decrease in sway of the centre of pressure in patients who sustained an anterior cruciate ligament tear, but the addition of anodal transcranial direct-current stimulation placed over the primary motor cortex did not potentiate the adaptive responses of the sensorimotor training.
Effects of Implementing a Routine Postpartum Fasting Blood Glucose on the Completion of the Gold Standard 2-Hour Oral Glucose Tolerance Test in Gestational Diabetics
Authors: Prior Alissa K. , Dolin Cara D. , Bender Whitney , Durnwald Celeste P. , Hamm Rebecca F. 
Published: April 2024

Objective Rates of completion of the gold standard 2-hour oral glucose tolerance test (OGTT) for impaired glucose intolerance postpartum in patients with gestational diabetes mellitus (GDM) are consistently less than 50%. Screening tests performed prior to hospital discharge, including fasting blood glucose (FBG) to detect persistent hyperglycemia, have been investigated. We lack evidence, however, on whether implementation of routine postpartum FBG impacts the likelihood of obtaining the routine 2-hour OGTT. We sought to retrospectively compare the rates of completion of the 2-hour OGTT pre- and postimplementation of a routine FBG screen.
Study Design We performed a single-center retrospective cohort study comparing the completion of the 2-hour OGTT pre- and postimplementation of a routine FBG screen. Our primary outcome was the completion of the postpartum OGTT. Bivariate analyses assessed associations between demographic and preinduction clinical characteristics by pre- and post-implementation groups, as well as OGTT completion. Multivariable logistic regression was used to control for possible confounders. A sensitivity analysis was performed to account for the overlap with the coronavirus disease 2019pandemic.
Results In total, 468 patients met the inclusion and exclusion criteria. In our post-intervention group, 64% of patients completed a postpartum FBG. For our primary outcome, completion of the 2-hour OGTT significantly decreased in our postintervention group from 37.1 to 25.9% (p = 0.009), adjusted odds ratio (aOR): 0.62, confidence interval (CI): 0.41–0.92. This difference was no longer statistically significant when excluding patients during the pandemic, from 40.3 to 33.1% (p = 0.228), aOR: 0.76, CI: 0.455–1.27.
Conclusion Implementation of a routine FBG was associated with a negative impact on patients completing a 2-hour OGTT. The difference was no longer significant when excluding patients who would have obtained the OGTT during the pandemic, which may have been due to the smaller cohort. Future work should investigate patient perceptions of the FBG and its impact on their decision-making around the OGTT.
Key Points
Extended Composite Approach to Deep Plane Face Lifting with Deep Contouring of the Neck and the Nuances of Secondary and Tertiary Facelifting: Principles for Restoration of Natural Anatomy and Aesthetically Attractive Face and Neck Contour
Authors: Bray Dominic 
Published: April 2024

AbstractPatients seek second facelifts either due to dissatisfaction with the primary procedure or years later after continued face and neck aging following successful first surgery. Previous surgical anatomical disruption, deformity of tension and vector, scar formation and skin excision compounded by the proliferation of historical energy-based skin treatments, thread lift procedures, and injectables make revision rhytidectomy a complex process of causal identification and surgical repair. Patients seeking revision due to dissatisfaction with a primary procedure, or worse visible deformity, have a heightened sense of anxiety which necessitates accurate diagnosis, careful examination, comprehensive documentation, and confidence in any planned secondary intervention as well as conservative expectation management. This article outlines the author's approach to identify the challenges posed and successfully perform secondary and revision rhytidectomy using a modified extended deep plane approach.
The Evolution of My Extended SMAS-Biplanar Deep Plane Facelift to a Composite Tissue Deep Plane Face and Neck Lift: Similarities and Differences
Authors: Perkins Stephen W. , Caniglia Alexander 
Published: April 2024

AbstractIn this article, Dr. Stephen W. Perkins, a seasoned facial plastic surgeon, presents his refined techniques in facelift surgery developed over four decades of practice. His evolution from traditional methods to the current composite tissue deep plane facelift is elucidated. His composite tissue deep plane facelift involves meticulous dissection and repositioning of the superficial musculoaponeurotic system (SMAS) and platysma in the deep plane, as well as incorporating his innovative “Perkins' Kelly clamp anterior platysmaplasty.” This technique, refined through years of experience, aims for natural, enduring results, crucially addressing patient concerns such as jowling and neck laxity. Long-term analysis reveals the advantages of Dr. Perkins' technique, particularly in achieving sustained cervicomental angle improvement for over a decade postoperatively. This article underscores the importance of understanding deep plane facelift techniques, distinguishing between different approaches, and tailoring surgical interventions to individual patient characteristics. Dr. Perkins' comprehensive approach, incorporating advancements in surgical technique and meticulous patient care protocols, exemplifies the goal of achieving natural, long-lasting facial rejuvenation.
Torticollis with Atlantoaxial Rotatory Subluxation in Children: A Clinical Review
Authors: Kempeneers Marinus A. , Buis Dennis R. , Feller Ricardo E. , Roosendaal Stefan D. , Slot K. Mariam , Wolf Nicole I. , Vandertop W. Peter 
Published: April 2024

AbstractA small proportion of children with a sudden onset torticollis (“wry neck”) presents with an atlantoaxial rotatory subluxation, usually after mild trauma or recent head or neck infection. Torticollis is a clinical diagnosis and imaging is usually not indicated, though often performed in clinical practice. Atlantoaxial rotatory subluxation on imaging is often a physiological phenomenon in torticollis, and concomitant neurological symptoms are therefore rare. Treatment is primarily conservative, with analgesics, a rigid neck collar, and if needed benzodiazepines to counteract muscle spasms and anxiety. In case of treatment failure or chronic subluxation, cervical repositioning and fixation under general anesthesia may be considered. Surgical treatment is only indicated in a small percentage of patients with chronic refractory subluxation, concomitant cervical fractures, or congenital anomalies. Early diagnosis and treatment are important, since this is associated with a more successful conservative outcome than a prolonged approach.
Effect of optical diagnosis training on recognition and treatment of submucosal invasive colorectal cancer in community hospitals: a prospective multicenter intervention study
Authors: Meulen Lonne W.T. , Haasnoot Krijn J.C. , Vlug Marije S. , Wolfhagen Frank H.J. , Baven-Pronk Martine A.M.C. , van der Voorn Michael P.J.A. , Schwartz Matthijs P. , Vogelaar Lauran , de Vos tot Nederveen Cappel Wouter H , Seerden Tom C.J. , Hazen Wouter L. , Schrauwen Ruud W.M. , Alvarez-Herrero Lorenza , Schreuder Ramon-Michel , van Nunen Annick B. , Stoop Esther , de Bruin Gijs J. , Bos Philip , Marsman Willem A. , Kuiper Edith , de Bièvre Marc , Alderlieste Yasser A. , Roomer Robert , Groen John , Bigirwamungu-Bargeman Marloes , Siersema Peter D. , Elias Sjoerd G. , Masclee Ad A.M. , Moons Leon M.G. ,   on behalf of the OPTICAL-STAR study team and the Dutch T1 CRC Working Group
Published: April 2024

Background Recognition of submucosal invasive colorectal cancer (T1 CRC) is difficult, with sensitivities of 35 %–60 % in Western countries. We evaluated the real-life effects of training in the OPTICAL model, a recently developed structured and validated prediction model, in Dutch community hospitals.
Methods In this prospective multicenter study (OPTICAL II), 383 endoscopists from 40 hospitals were invited to follow an e-learning program on the OPTICAL model, to increase sensitivity in detecting T1 CRC in nonpedunculated polyps. Real-life recognition of T1 CRC was then evaluated in 25 hospitals. Endoscopic and pathologic reports of T1 CRCs detected during the next year were collected retrospectively, with endoscopists unaware of this evaluation. Sensitivity for T1 CRC recognition, R0 resection rate, and treatment modality were compared for trained vs. untrained endoscopists.
Results 1 year after e-learning, 528 nonpedunculated T1 CRCs were recorded for endoscopies performed by 251 endoscopists (118 [47 %] trained). Median T1 CRC size was 20 mm. Lesions were mainly located in the distal colorectum (66 %). Trained endoscopists recognized T1 CRCs more frequently than untrained endoscopists (sensitivity 74 % vs. 62 %; mixed model analysis odds ratio [OR] 2.90, 95 %CI 1.54–5.45). R0 resection rate was higher for T1 CRCs detected by trained endoscopists (69 % vs. 56 %; OR 1.73, 95 %CI 1.03–2.91).
Conclusion Training in optical recognition of T1 CRCs in community hospitals was associated with increased recognition of T1 CRCs, leading to higher en bloc and R0 resection rates. This may be an important step toward more organ-preserving strategies.
Sprint-inspired One-on-One Post-Go-Live Training Session (Mini-Sprint) Improves Provider Electronic Health Record Efficiency and Satisfaction
Authors: Chen July , Chi Wei Ning , Ravichandran Urmila , Solomonides Anthony , Trimark Jeffrey , Patel Shilpan , McNulty Bruce , Shah Nirav S. , Brown Stacy 
Published: April 2024

Abstract
Background Inefficient electronic health record (EHR) usage increases the documentation burden on physicians and other providers, which increases cognitive load and contributes to provider burnout. Studies show that EHR efficiency sessions, optimization sprints, reduce burnout using a resource-intense five-person team. We implemented sprint-inspired one-on-one post-go-live efficiency training sessions (mini-sprints) as a more economical training option directed at providers.
Objectives We evaluated a post-go-live mini-sprint intervention to assess provider satisfaction and efficiency.
Methods NorthShore University HealthSystem implemented one-on-one provider-to-provider mini-sprint sessions to optimize provider workflow within the EHR platform. The physician informaticist completed a 9-point checklist of efficiency tips with physician trainees covering schedule organization, chart review, speed buttons, billing, note personalization/optimization, preference lists, quick actions, and quick tips. We collected postsession survey data assessing for net promoter score (NPS) and open-ended feedback. We conducted financial analysis of pre- and post-mini-sprint efficiency levels and financial data.
Results Seventy-six sessions were conducted with 32 primary care physicians, 28 specialty physicians, and 16 nonphysician providers within primary care and other areas. Thirty-seven physicians completed the postsession survey. The average NPS for the completed mini-sprint sessions was 97. The proficiency score had a median of 6.12 (Interquartile range (IQR): 4.71–7.64) before training, and a median of 7.10 (IQR: 6.25–8.49) after training. Financial data analysis indicates that higher level billing codes were used at a greater frequency post-mini-sprint. The revenue increase 12 months post-mini-sprint was $213,234, leading to a return of $75,559.50 for 40 providers, or $1,888.98 per provider in a 12-month period.
Conclusion Our data show that mini-sprint sessions were effective in optimizing efficiency within the EHR platform. Financial analysis demonstrates that this type of training program is sustainable and pays for itself. There was high satisfaction with the mini-sprint training modality, and feedback indicated an interest in further mini-sprint training sessions for physicians and nonphysician staff.
Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing unit
Authors: Huang Zhaojing , Leung Wing Hang , Cui Jiashuo , Yu Leping , Herbozo Contreras Luis Fernando , Truong Nhan Duy , Nikpour Armin , Kavehei Omid 
Published: April 2024

This manuscript introduces a novel method for cardiac abnormality detection by combining the Diagonal State Space Sequence (S4D) model with the Closed-form Continuous-time neural network (CfC), yielding a highly effective, robust, generalizable, and compact solution. Our proposed S4D-CfC model is evaluated on 12- and single-lead electrocardiogram data from over 20 000 patients. The system exhibits validation results with strong average F1 score and average area under the receiver operating characteristic curve values of 0.88% and 98%, respectively. To demonstrate the tiny machine learning of our 242 KB size model, we deployed the system on relatively resource-constrained hardware to evaluate its training performance on-the-edge. Such on-device fine-tuning can enhance personalized solutions in this context, allowing the system to learn each patient’s data features. A comparison with a structured 2D convolutional long short-term memory CfC model demonstrates the S4D-CfC model’s superior performance. The proposed model’s size can be significantly reduced to 25 KB, maintaining reasonable performance on 2.5 s data, 75% shorter than the original 10 s data, making it suitable for resource-constrained hardware and minimizing latency. In summary, the S4D-CfC model represents a groundbreaking advancement in cardiac abnormality detection, offering robustness, generalization, and practicality with the potential for efficient deployment on limited-resource platforms, revolutionizing healthcare technology.
Interfacial water on collagen nanoribbons by 3D AFM
Authors: Arvelo Diana M. , Garcia-Sacristan Clara , Chacón Enrique , Tarazona Pedro , Garcia Ricardo 
Published: April 2024

Collagen is the most abundant structural protein in mammals. Type I collagen in its fibril form has a characteristic pattern structure that alternates two regions called gap and overlap. The structure and properties of collagens are highly dependent on the water and mineral content of the environment. Here, we apply 3D AFM to characterize at angstrom-scale resolution the interfacial water structure of collagen nanoribbons. For a neutral tip, the interfacial water structure is characterized by the oscillation of the water particle density distribution with a value of 0.3 nm (hydration layers). The interfacial structure does not depend on the collagen region. For a negatively charged tip, the interfacial structure might depend on the collagen region. Hydration layers are observed in overlap regions, while in gap regions, the interfacial solvent structure is dominated by electrostatic interactions. These interactions generate interlayer distances of 0.2 nm.
Unsealed piezoelectric MEMS speaker with rigid-flexible composite membrane
Authors: Wang Qi , Hu Zhiyong , Ruan Tao , Zhao Jinshi 
Published: April 2024

Abstract
In this paper, we propose an unsealed piezoelectric microelectromechanical systems (MEMS) speaker with rigid-flexible composite membrane, which can eliminate the membrane separation and the vibration displacement limitation at high driving voltage compared to that with the sealed rigid-flexible coupling membrane demonstrated in our previous work. Measurements performed on encapsulated prototypes mounted to an artificial ear simulator have revealed that in the human audible range of 20 Hz–20 kHz, higher than 68.5 dB SPLs are obtained at 2 V, and greater than 89.6 dB SPLs are achieved at 10 V. Moreover, the SPL distribution and effective SPLs at each moment when playing the same song exhibit similar characteristics to those of a commercial electromagnetic one. This piezoelectric MEMS speaker achieves high SPLs meeting the basic hearing needs of the human, and will have excellent prospects for future wearable audio electronics.
Adaptive frequency-stabilization of MEMS oscillators using mode coupling
Authors: Huan Ronghua , Dai Hongsheng , Wang Xuefeng , Yang Qiqi , Wan Haibo , Shi Zhan , Lv Qiangfeng , Wei Xueyong 
Published: April 2024

Abstract
Microelectromechanical systems (MEMS) oscillators with high frequency stability hold significant potential for a myriad of applications across diverse fields. This letter delves into an adaptive frequency stabilization system designed to significantly improve the performance of MEMS oscillators. Our approach leverages the concept of mode coupling to dynamically adjust the oscillator’s frequency based on phase control, ensuring optimal stability under varying operating conditions. The MEMS oscillator comprises a nonlinear low-frequency resonator and a linear high-frequency resonator. Through mode coupling and phase control, the nonlinear resonator is harnessed to regulate the oscillation frequency of the linear resonator. Experimental results prove that by applying the proposed approach, the frequency stability of the MEMS oscillator is enhanced by nearly 700 times for long-term stability at 1000 s. Additionally, in the scenario with varying temperature, the system also effectively improves the frequency stability by over 1000 times at 802 s.
Ratio of 4:1 between ZnGeAs2 and MnAs phases in a single composite and its impact on the structure-driven magnetoresistance
Authors: Arslanov T R , Zalibekov U Z , Ashurov G G , Losanov Kh Kh , Zhao X , Dai B , Ril A I 
Published: April 2024

Abstract
A strong influence of the lattice degree of freedom on magnetoresistance (MR) under high pressure underlies the conception of ‘structure-driven’ magnetoresistance (SDMR). In most magnetic or topological materials, the suppression of MR with increasing pressure is a general trend, while for some magnetic composites the MR enhances and even shows unusual behavior as a consequence of structural transition. Here we investigated the SDMR in the composite material based on the ZnGeAs2 semiconductor matrix and MnAs magnetic inclusions in a phase ratio of 4:1. At ambient pressure, its magnetic and transport properties are governed by MnAs inclusions, i.e. it shows a Curie temperature T
C≈ 320 K and metallic-like conductivity. Under high pressure, the low-field room temperature MR undergoes multiple changes in the pressure range up to 7.2 GPa. The structural transition in the ZnGeAs2 matrix has been found at ∼6 GPa, slightly lower than in the pure ZnGeAs2 (6.2 GPa). The huge SDMR as high as 85% at 6.8 GPa and 2.5 kOe, which contains both positive and negative MR components, is accompanied by a pressure-induced metallic-like-to-semiconductor-like transition and the enhanced ferromagnetic order of MnAs inclusions. This observation offers a competing mechanism between the robust extrinsic ferromagnetism and high-pressure electronic properties of ZnGeAs2.
Structural vibration frequency monitoring based on event camera
Authors: Lv Yuanyuan , Zhou Liang , Liu Zhaohui , Zhang Haiyang 
Published: April 2024

Abstract
Compared with traditional cameras, event cameras (ECs) have the significant advantages of high temporal resolution, low data redundancy, and microsecond delay, which are beneficial in structural monitoring to extract the dense response of structures in both spatial and temporal dimensions. In this paper, the vibration frequency detection method based on ECs is studied. This study investigates vibration frequency detection methods based on ECs, and proposes two algorithms for vibration frequency detection based on event streams: marker tracking and event count. Experimental verification is conducted through forced vibration experiments. The results indicate that the event count method achieves high-precision measurement of vibration frequencies in the range of 10–190 Hz for different vibration scales, with a maximum relative error of 1% and an average relative error of 0.673%. The marker tracking method demonstrates a maximum relative error of 1.43% and an average relative error of 0.575% in frequency measurement for large-amplitude vibrations. However, as the amplitude decreases, the frequency measurement error increases. When the amplitude is less than 3 pixels, the frequency measurement error exceeds 30%, rendering the measurement results unreliable. This research provides technical support for high-precision structural vibration frequency monitoring and further expands the application of ECs in structural monitoring.
A novel multi-sensor hybrid fusion framework
Authors: Du Haoran , Wang Qi , Zhang Xunan , Qian Wenjun , Wang Jixin 
Published: April 2024

Abstract
Multi-sensor data fusion has emerged as a powerful approach to enhance the accuracy and robustness of diagnostic systems. However, effectively integrating multiple sensor data remains a challenge. To address this issue, this paper proposes a novel multi-sensor fusion framework. Firstly, a vibration signal weighted fusion rule based on Kullback–Leibler divergence-permutation entropy is introduced, which adaptively determines the weighting coefficients by considering the positional differences of different sensors. Secondly, a lightweight multi-scale convolutional neural network is designed for feature extraction and fusion of multi-sensor data. An ensemble classifier is employed for fault classification, and an improved hard voting strategy is proposed to achieve more reliable decision fusion. Finally, the superiority of the proposed method is validated using modular state detection data from the Kaggle database.