bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knochenrekonstruktion an der oberen Extremität mittels eines freien vaskularisierten Knochentransplantates aus der medialen Femurkondyle ohne Berücksichtigung des Skaphoids
Authors: Kaiser Benedict , Gohritz Andreas , Mende Konrad , Fulco Ilario , Schaefer Dirk Johannes , Kämpfen Alexandre 
Published: April 2022

Zusammenfassung
Ziel Diese Studie untersucht, ob das vaskularisierte Knochentransplantat aus der medialen Femurkondyle (MFC) auch erfolgreich bei kleinen (< 4 cm) Knochendefekten an der oberen Extremität eingesetzt werden kann, die nicht das Skaphoid betreffen.
Patienten und Methoden Achtmal wurde bei 7 Patienten mit einem Alter zwischen 28 und 66 Jahren ein vaskularisiertes Knochentransplantat aus der MFC zur Rekonstruktion von Knochendefekten, die nicht das Kahnbein betrafen, an der oberen Extremität eingesetzt. Knochenheilung, Komplikationen, Hebemorbidität und die Patientenzufriedenheit wurden erfasst. Die Nachuntersuchungszeit betrug 3 bis 40 Monate. Die Indikationen für die Rekonstruktion mittels freier MFC waren 2 trotz mehrerer Voroperationen nicht geheilte distale Radiusfrakturen, ein ossärer Defekt am distalen Radius nach Fraktur mit radioskaphoidaler Arthrose, ein akutes, komplexes Trauma mit Verlust von Anteilen des Karpus und des distalen Radius bei Explosionsverletzung, eine Rekonstruktion des ersten Mittelhandknochens (MHK) nach Resektion eines Riesenzelltumors und 3 Arthrodesen zwischen dem 1. und 2. MHK als Rettungsoperation nach mehrfachen Operationen bei Daumensattelgelenksarthrose.
Ergebnisse Vier der 8 Knochentransplantate zeigten eine regelrechte Heilung; 3-mal war sie mit 7, 8 und 9 Monaten verzögert. Einmal zeigte sich nur eine partielle Knochenheilung. Zweimal kam es zu einem revisionsbedürftigen Hämatom an der Entnahmestelle. Die Patientenzufriedenheit war mit Schmerzfreiheit in 7 der 8 Fälle in Anbetracht der Komplexität der Fälle zufriedenstellend.
Schlussfolgerung Das freie vaskularisierte Knochentransplantat aus der MFC kann erfolgreich ohne Längenverlust zur Rekonstruktion bei Knochendefekten an der oberen Extremität eingesetzt werden, die nicht das Kahnbein betreffen und kleiner als 4 cm sind.
Early-Onset Neonatal Sepsis Caused by Vertical Transmission of Pasteurella multocida
Authors: Scheurer Johannah M. , Fanta Meghan L. , Colbenson Gretchen A. , Arbefeville Sophie , Ferrieri Patricia 
Published: April 2022

AbstractEarly-onset neonatal sepsis contributes substantially to neonatal morbidity and mortality. Presenting signs and symptoms vary, and most causes are due to a limited number of common microbes. However, providers must be cognizant of unusual pathogens when treating early-onset sepsis (EOS). We report a case of a term neonate who presented with respiratory distress, lethargy, and hypoglycemia 5 hours after birth. He was treated for presumed EOS with blood culture, revealing an unusual pathogen, Pasteurella multocida. Sepsis from this pathogen is a rarely reported cause of early onset neonatal sepsis. Our report is one of few that implicate vertical transmission with molecular diagnostic confirmation of P. multocida, subspecies septica. The neonate was treated with antibiotics and supportive care and recovered without ongoing complications. Providers should maintain an index of suspicion for rare causes of neonatal EOS. For these unusual cases, precise microbial identification enables understanding to provide best clinical care and anticipation of complications.
Anti-Periodontopathogenic Ability of Mangrove Leaves (Aegiceras corniculatum) Ethanol Extract: In silico and in vitro study
Authors: Nugraha Alexander Patera , Sibero Mada Triandala , Nugraha Albertus Putera , Puspitaningrum Martining Shoffa , Rizqianti Yuniar , Rahmadhani Desintya , Kharisma Viol Dhea , Ramadhani Nastiti Faradilla , Ridwan Rini Devijanti , Noor Tengku Natasha Eleena binti Tengku Ahmad , Ernawati Diah Savitri 
Published: April 2022

AbstractObjective Mangrove (Aegiceras corniculatum) is an abundant natural marine resource of Indonesia, which can be explored for treating periodontal disease due to its potential as immunoregulatory, antibacterial, and antioxidant properties. The objective of this study was to investigate the active compound from Indonesian mangrove leaf extract (A. corniculatum) (MLE) for developing a herbal-based mouthwash through in silico and in vitro studies.Materials and Methods Phytochemistry and liquid chromatography-high resolution mass spectrometry (LC-HRMS) were done to explore the active compounds in MLE. Chemistry screening and interaction, absorption, distribution, metabolism, and excretion (ADME), molecular docking simulation, and visualization of MLE active compounds as anti-inflammatory, antioxidant, and antibacterial were investigated in silico The inhibition zone of MLE against Aggregatibacter actinomycetemcomitans (Aa), Porphyromonas gingivalis (Pg), and Fusobacterium nucleatum (Fn) as periodontopathogenic bacterias was performed by diffusion method. Doxycycline 100 mg was used as a positive control, as a treatment group, there were five groups, namely 0%, 25%, 50%, 75%, and 100% MLE.Results Alkaloid, saponin, flavonoid, triterpenoid, steroid, tannin, and quinone were detected in MLE. A high concentration of (-)epicatechin and coumaric acid (CA) were found in MLE. MLE in 100% concentration has the most effective ability to inhibit Fn, Pg, Aa growth in vitro. (-)-Epicatechin has a higher negative binding affinity than CA that can enhance heat shock protein (HSP)-30, HSP-70, HSP-90, interleukin-10, and FOXP3 and also inhibit interleukin-6, peptidoglycan, flagellin, and dectin in silico.Conclusion MLE of A. corniculatum has antioxidant, anti-inflammatory, and antibacterial activities that can be a potential raw material for developing a herbal-based mouthwash.
An Update on Cardiorespiratory Physiotherapy during Mechanical Ventilation
Authors: Tronstad Oystein , Martí Joan-Daniel , Ntoumenopoulos George , Gosselink Rik 
Published: April 2022

AbstractPhysiotherapists are integral members of the multidisciplinary team managing critically ill adult patients. However, the scope and role of physiotherapists vary widely internationally, with physiotherapists in some countries moving away from providing early and proactive respiratory care in the intensive care unit (ICU) and focusing more on early mobilization and rehabilitation. This article provides an update of cardiorespiratory physiotherapy for patients receiving mechanical ventilation in ICU. Common and some more novel assessment tools and treatment options are described, along with the mechanisms of action of the treatment options and the evidence and physiology underpinning them. The aim is not only to summarize the current state of cardiorespiratory physiotherapy but also to provide information that will also hopefully help support clinicians to deliver personalized and optimal patient care, based on the patient's unique needs and guided by accurate interpretation of assessment findings and the current evidence. Cardiorespiratory physiotherapy plays an essential role in optimizing secretion clearance, gas exchange, lung recruitment, and aiding with weaning from mechanical ventilation in ICU. The physiotherapists' skill set and scope is likely to be further optimized and utilized in the future as the evidence base continues to grow and they get more and more integrated into the ICU multidisciplinary team, leading to improved short- and long-term patient outcomes.
Capecitabine Maintenance Chemotherapy in the Treatment of Metastatic Colorectal Cancer: A Meta-Analysis
Authors: Ong Bradley Ashley Gue , Rocimo Aubrey Melody Remigio , King Rich Ericson Chan , Yasay Eric Baldivino 
Published: April 2022

AbstractMany agents have been evaluated as maintenance therapy for metastatic colorectal cancer (mCRC), but there is no consensus on the optimal regimen. This study assessed the effect of single-agent capecitabine maintenance therapy on the survival outcomes of mCRC patients. A comprehensive literature search was performed according to prespecified inclusion and exclusion criteria for randomized controlled trials (RCTs) comparing capecitabine as maintenance monotherapy versus active monitoring for mCRC patients. Data on overall survival (OS), progression-free survival (PFS), time to tumor progression (TTP), adverse events, and quality of life (QoL) scores were extracted. Three RCTs with a total of 576 patients were included. Pooled analyses found neither OS benefit (HR:0.85, 95% CI:0.64–1.13) nor reduction in mortality at 24 months (RR:0.88, 95% CI:0.66–1.17) with capecitabine maintenance. Compared with active monitoring, capecitabine maintenance therapy improved PFS (HR:0.36, 95% CI:0.26–0.61) and reduced the risk of progression at 6 months (HR:0.78, 95% CI:0.56–1.10). The incidence of any grade ≥ 3 toxicity was higher with maintenance therapy than with observation (OR:2.02, 95% CI:1.42–2.88). No difference in terms of QoL was observed. Single-agent capecitabine as maintenance for patients with mCRC provides no OS benefit but results in statistically significant improvement in PFS with increased risk of toxicity. Hence, it may be considered particularly for patients who wish to delay the need for second-line treatment and who can tolerate it well.
Improving COVID-19 Research of University Hospitals in Germany: Formative Usability Evaluation of the CODEX Feasibility Portal
Authors: Sedlmayr Brita , Sedlmayr Martin , Kroll Björn , Prokosch Hans-Ulrich , Gruendner Julian , Schüttler Christina 
Published: April 2022

Abstract
Background Within the German “Network University Medicine,” a portal is to be developed to enable researchers to query on novel coronavirus disease 2019 (COVID-19) data from university hospitals for assessing the feasibility of a clinical study.
Objectives The usability of a prototype for federated feasibility queries was evaluated to identify design strengths and weaknesses and derive improvement recommendations for further development.
Methods In the course of a remote usability test with the thinking-aloud method and posttask interviews, 15 clinical researchers evaluated the usability of a prototype of the Feasibility Portal. The identified usability problems were rated according to severity, and improvement recommendations were derived.
Results The design of the prototype was rated as simple, intuitive, and as usable with little effort. The usability test reported a total of 26 problems, 8 of these were rated as “critical.” Usability problems and revision recommendations focus primarily on improving the visual distinguishability of selected inclusion and exclusion criteria, enabling a flexible approach to criteria linking, and enhancing the free-text search.
Conclusion Improvement proposals were developed for these user problems which will guide further development and the adaptation of the portal to user needs. This is an important prerequisite for correct and efficient use in everyday clinical work in the future. Results can provide developers of similar systems with a good starting point for interface conceptualizations. The methodological approach/the developed test guideline can serve as a template for similar evaluations.
Novel De Novo TBL1XR1 Variant Causing PIERPONT Syndrome in an Indian Child: A Case Report and Genotype–Phenotype Review of Reported Patients
Authors: Bajaj Shruti , Gadgil Pradnya , Seenappa Venu , Setty Phani N. , Joshi Vaishali , Shah Shailee 
Published: April 2022

AbstractThe transducin β-like-1 X-linked-receptor-1 gene (TBL1XR1) encodes for the TBL1XR1 protein which is involved in transcription. Single-nucleotide variants (SNVs) in the TBL1XR1 gene have been reported to be associated with Pierpont's syndrome (PS) which exhibits numerous features including global developmental delay (GDD), intellectual disability (ID), varying neurobehavioral and psychiatric manifestations with/without autism spectrum disorder (ASD), abnormal fat distribution in the distal extremities, short stature (SS), head circumference abnormalities, hearing loss (HL), and facial dysmorphisms. Eight PS patients, having a de novo mutation resulting in p.Tyr446Cys, showed no manifestations of ASD. The three other PS patients, having mutations resulting in p.Tyr446His, p.Cys325Tyr and p.Gly237Asp, respectively, and without the p.Tyr446Cys alteration, were in addition associated with neurobehavioral abnormalities, including ASD, hyperactivity, and self-mutilation tendencies. Here, via trio whole exome sequencing, we describe a 12th PS patient, the first from the Indian subcontinent, reflecting a novel TBL1XR1 p.His348Arg alteration. The proband is a 4.5-year-old male having GDD, speech delay, facial dysmorphisms, abnormal digital fat pads, hypotonia, microcephaly, patent ductus arteriosus, and ASD features. Our report strengthens the hypothesis that TBL1XR1 variants coding for the TBL1XR1 protein other than p.Tyr446Cys might be more commonly associated with a neurobehavioral phenotype and autistic tendencies.
Vibration analysis of MEMS vibrating mesh atomizer
Authors: Sharma Pallavi , Jackson Nathan 
Published: April 2022

Abstract
Vibrating mesh atomizers (VMAs) are increasing in demand for various applications that require high quality droplet size distribution of aerosols. However, manufacturing limitations of metallic mesh atomizers have prevented researchers from investigating the dynamics and vibration analysis required to further enhance performance. Newly developed MEMS based VMAs allow these devices to be custom designed including varying aperture size, shape, and pitch as well as varying membrane dimensions. In this paper, a systematic vibration analysis of silicon-based MEMS based VMA was investigated to better understand the mechanisms of the atomization process and atomization rate. The MEMS atomizer consists of a microfabricated mesh on silicon membrane coupled with piezoelectric ring. The atomization process with this device is intricate to model due to combination of fluid transfer and dynamics of the membrane actuated by the piezoelectric ring. This paper uses multiphysics finite element modeling validated by experimental analysis to better understand the dynamics of the membrane and key parameters that affect the vibration analysis and atomization process. Resonance frequency, displacement, velocity, and mode shapes of the various dynamic modes of the atomizer were studied using finite element analysis and compared with the experimental results to validate the model. The results demonstrate a strong correlation between the modeled and experimental results of the resonant frequencies and atomization rates. The results can be used to design VMAs with enhanced performance for specific applications in the future.
QUBIC VIII: Optical design and performance
Authors: O'Sullivan C. , De Petris M. , Amico G. , Battistelli E.S. , de Bernardis P. , Burke D. , Buzi D. , Chapron C. , Conversi L. , D'Alessandro G. , De Leo M. , Gayer D. , Grandsire L. , Hamilton J.-Ch. , Marnieros S. , Masi S. , Mattei A. , Mennella A. , Mousset L. , Murphy J.D. , Pelosi A. , Perciballi M. , Piat M. , Scully S. , Tartari A. , Torchinsky S.A. , Voisin F. , Zannoni M. , Zullo A. , Ade P. , Alberro J.G. , Almela A. , Arnaldi L.H. , Auguste D. , Aumont J. , Azzoni S. , Banfi S. , Baù A. , Bélier B. , Bennett D. , Bergé L. , Bernard J.-Ph. , Bersanelli M. , Bigot-Sazy M.-A. , Bonaparte J. , Bonis J. , Bunn E. , Cavaliere F. , Chanial P. , Charlassier R. , Cobos Cerutti A.C. , Columbro F. , Coppolecchia A. , De Gasperis G. , Dheilly S. , Duca C. , Dumoulin L. , Etchegoyen A. , Fasciszewski A. , Ferreyro L.P. , Fracchia D. , Franceschet C. , Gamboa Lerena M.M. , Ganga K.M. , García B. , García Redondo M.E. , Gaspard M. , Gervasi M. , Giard M. , Gilles V. , Giraud-Heraud Y. , Gómez Berisso M. , González M. , Gradziel M. , Hampel M.R. , Harari D. , Henrot-Versillé S. , Incardona F. , Jules E. , Kaplan J. , Kristukat C. , Lamagna L. , Loucatos S. , Louis T. , Maffei B. , Marty W. , May A. , McCulloch M. , Mele L. , Melo D. , Montier L. , Mundo L.M. , Murphy J.A. , Nati F. , Olivieri E. , Oriol C. , Paiella A. , Pajot F. , Passerini A. , Pastoriza H. , Perbost C. , Pezzotta F. , Piacentini F. , Piccirillo L. , Pisano G. , Platino M. , Polenta G. , Prêle D. , Puddu R. , Rambaud D. , Rasztocky E. , Ringegni P. , Romero G.E. , Salum J.M. , Schillaci A. , Scóccola C.G. , Spinelli S. , Stankowiak G. , Stolpovskiy M. , Supanitsky A.D. , Thermeau J.-P. , Timbie P. , Tomasi M. , Tucker C. , Tucker G. , Viganò D. , Vittorio N. , Wicek F. , Wright M. 
Published: April 2022

Abstract
The Q and U Bolometric Interferometer for Cosmology (QUBIC) is a ground-based experiment that aims to detect B-mode polarization anisotropies [1] in the CMB at angular scales around the ℓ ≃100 recombination peak. Systematic errors make ground-based observations of B modes at millimetre wavelengths very challenging and QUBIC mitigates these problems in a somewhat complementary way to other existing or planned experiments using the novel technique of bolometric interferometry. This technique takes advantage of the sensitivity of an imager and the systematic error control of an interferometer. A cold reflective optical combiner superimposes the re-emitted beams from 400 aperture feedhorns on two focal planes. A shielding system composed of a fixed groundshield, and a forebaffle that moves with the instrument, limits the impact of local contaminants.
The modelling, design, manufacturing and preliminary measurements of the optical components are described in this paper.
An EEG-based systematic explainable detection framework for probing and localizing abnormal patterns in Alzheimer’s disease
Authors: Song Zhenxi , Deng Bin , Wang Jiang , Yi Guosheng 
Published: April 2022

Abstract

Objective. Electroencephalography (EEG) is a potential source of downstream biomarkers for the early diagnosis of Alzheimer’s disease (AD) due to its low-cost, noninvasive, and portable advantages. Accurately detecting AD-induced patterns from EEG signals is essential for understanding AD-related neurodegeneration at the EEG level and further evaluating the risk of AD at an early stage. This paper proposes a deep learning-based, functional explanatory framework that probes AD abnormalities from short-sequence EEG data. Approach. The framework is a learning-based automatic detection system consisting of three encoding pathways that analyze EEG signals in frequency, complexity, and synchronous domains. We integrated the proposed EEG descriptors with the neural network components into one learning system to detect AD patterns. A transfer learning-based model was used to learn the deep representations, and a modified generative adversarial module was attached to the model to overcome feature sparsity. Furthermore, we utilized activation mapping to obtain the AD-related neurodegeneration at brain rhythm, dynamic complexity, and functional connectivity levels. Main results. The proposed framework can accurately (100%) detect AD patterns based on our raw EEG recordings without delicate preprocessing. Meanwhile, the system indicates that (a) the power of different brain rhythms exhibits abnormal in the frontal lobes of AD patients, and such abnormality spreads to central lobes in the alpha and beta rhythms, (b) the difference in nonlinear complexity varies with the temporal scales, and (c) all the connections of pair-wise brain regions except bilateral temporal connectivity are weak in AD patterns. The proposed method outperforms other related methods in detection performance. Significance. We provide a new method for revealing abnormalities and corresponding localizations in different feature domains of EEG from AD patients. This study is a significant foundation for our future work on identifying individuals at high risk of AD at an early stage.
Optimization Method of Microwave Devices Based on Improved Extreme Learning Machine
Authors: Hu Cong , Chen Yuanxiang , Sun Shangbin , Fu Jia , Yu Jianguo 
Published: April 2022

Abstract
With the rapid development of modern wireless technology, it is necessary to continuously optimize microwave devices to meet the higher requirements of communication systems. In this paper, we propose a microwave device optimization method based on extreme learning machine (ELM) and gray wolf optimizer (GWO). we adopt GWO to optimize the parameters of ELM and establish the mapping relationships between the microwave device design parameters and their responses. According to the inverse mapping of expected response, the expected design parameters of microwave devices are obtained. The numerical results show that the proposed method can improve the design efficiency of microwave devices and realize automatic optimization design compared with the existing method.
Study on Noise and Suppression of Readout Circuit for UV Focal Plane Array
Authors: Ye Baisong , Liu Jinfu 
Published: April 2022

Abstract
The noise characteristics of readout circuit for ultraviolet focal plane array are analysed in this paper. And the restraining method of noise with correlated double sampling circuit is discussed. In order to verify the principle, a 64×1 line readout circuit is designed. The results show that the total noise is effectively restrained by applying the correlated double sampling circuit.
Discussion on a Novel Reusable OR & AND logic gate based on two-dimensional materials
Authors: Wang Ximing 
Published: April 2022

Abstract
In this work, a novel useable OR&AND logic gate based on the two-dimensional (2D) material is proposed and simulated. By controlling voltage polarity applied on 2D materials, PN diode having changeable conducting direction can be realized. Based on this, OR & AND logic function can be realized using same diode through controlling the voltage polarity. Compared to traditional OR&AND based on traditional MOS, hardware cost is reduced, showing the great potential of application of 2D materials in logic circuit.
DL-CSNet: Dictionary Learning based Compressed Sensing Neural Network
Authors: Qiu Yanzhen , Zhang Chuangfeng , Huang Ruishan , Tian Haochen , Xiong Chenkui , Liao Shaolin 
Published: April 2022

Abstract
In this paper, we propose a novel neural network for Compressed Sensing (CS) application: the Dictionary Learning based Compressed Sensing neural Network (DL-CSNet). It is fairly simple but highly effective, which consists of only three layers: 1) a DL layer for latent sparse features extraction; 2) a smoothing layer via Total Variation (TV) like constraint; and 3) a CS acquisition layer for neural network training. In particular, the TV-like smoothing layer is a perfect complement to the sparsity-oriented DL layer to achieve smooth images. The trained DL-CSNet can learn the optimal dictionary matrix so that images can be reconstructed in high quality. At last, extensive experiments have been carried out on binary images and compared to most classical CS algorithms, which shows the superior performance of the proposed DL-CSNet.