bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultra‐miniaturized filtering power divider chip on integrated passive device technology using complex isolation network
Authors: Zhou Yujin , Zhou Jun , Cheng Chonghu 
Published: February 2022

AbstractIn this letter, an ultra‐miniaturized filtering power divider (FPD) chip based on integrated passive device (IPD) technology using a complex isolation network is proposed. Three lumped L represents inductor, C represents capacitor (LC) tanks and two electromagnetic hybrid coupling units are used to realize the third‐order quasi‐elliptical filtering response with high‐frequency selectivity and wide stopband, which are designed and realized by using the IPD process to achieve ultra‐miniaturized size. In addition, the complex impedance is utilized to form the isolation network, so good in‐band isolation can be easily achieved. Moreover, the working principle and design method of this proposed FPD is well illustrated, a prototype with 3‐dB fractional bandwidth of 19.3% at 2.6 GHz (f0) is in final designed and fabricated. The isolation is higher than 16 dB within the passband, and upper‐stopband attenuation higher than 20 dB is extended to 40 GHz (15.4f0). It occupies only 2.76 mm × 2.0 mm, that 0.023λ0 × 0.017λ0, where λ0 is the free‐space wavelength at f0.
Target tracking method based on interference detection
Authors: Qin Xuyang , Xuan Shibin , Wang Li , Chen Yun 
Published: February 2022

AbstractConsidering the problems of similarity interference, partial occlusions, and changes in scale during target tracking, a target tracking method based on interference detection is proposed, which is an improvement over the Siamese fully convolutional classification and regression neural network (SiamCAR) approach. Under the proposed framework, the marginal distribution of the feature maps is used to determine the presence or absence of interferents. When interference is present in a scene, a motion vector composed of the predicted value obtained through a Kalman filter is used as the basis for target prediction. Experiments on the benchmark LaSOT dataset show that the proposed algorithm based on SiamCAR, which introduces motion features, achieves the best performance in videos with similar object interference, partial occlusions, fast motion, and small target tracking, as compared with the classical SiamCAR and other excellent target tracking algorithms.
Presented a transformer‐less buck‐boost DC–DC structure with vast voltage range
Authors: Shayeghi Hossein , Pourjafar Saeed , Sedaghati Farzad 
Published: February 2022

AbstractHere, a transformer‐less buck‐boost topology is presented which can provide an appropriate voltage conversion ratio in both boost and buck mode. The voltage range of the proposed topology can be increased and decreased for the low content of the duty cycle. Thus, the maximum voltage throughout the semiconductor of the suggested converter is less against the load voltage. On the other hand, the system cost is reduced using the low rating elements in the presented converter. Moreover, only one power switch has been applied in the suggested converter that facilitates its control. In addition, there is zero voltage switching condition through the diodes that is caused to improve the efficiency of the recommended topology. To validate the impressibility of the presented topology, the operation modes analysis with related equations has been carried out. The comparison survey of the recommended structure and other equivalent structures has been investigated. Conclusively, a laboratory scheme via basic experimental waveforms for 150 W load power level in 50 kHz operation frequency is prepared that suggested to be utilized in various applications for instant green energy systems, LED drivers etc.
An overview of thermal modelling techniques for permanent magnet machines
Authors: Khalesidoost Sina , Faiz Jawad , Mazaheri‐Tehrani Ehsan 
Published: February 2022

AbstractPermanent magnet (PM) machines have gained increasing attention from the industry because of their potential merits over conventional electrical machines. High‐temperature level in electrical machines is a major factor that can adversely impact the performance and health conditions of these machines. These effects need to be minimized to make them competitive with currently operational machines in the industry. It can be done by performing a thorough thermal analysis of the prototype during the design process and proper online thermal monitoring of the machine during the operation stage. Thermal modelling is a powerful tool for achieving such goals in both cases. This paper aims to review the state‐of‐the‐art of thermal modelling techniques and provide a detailed comparison of them in PM machines. The fundamental concepts of heat transfer and sources of heat in PM machines are first discussed. Then, different thermal modelling techniques, including thermal subdomain models (TSMs), lumped parameter thermal networks (LPTNs), finite element models (FEMs), computational fluid dynamics (CFD), reduced order models (ROMs), and hybrid thermal models (HTMs) are introduced and compared. Finally, the utilization of these models in the thermal design, control, and monitoring of PM machines is studied.
Low-Carb-Diäten – die unvoreingenommene und evidenzbasierte Betrachtung ist überfällig
Authors: Worm Nicolai , Feinman Richard , Lechner Katharina 
Published: February 2022

ZusammenfassungDie zahlreichen nachgewiesenen, gesundheitlich positiv bewerteten Mechanismen und Effekte einer Low-Carb-Ernährung werden im Mainstream der Ernährungsmedizin zum Nachteil der effektiven Betreuung von Patienten – allen voran solchen mit Prädiabetes und Typ-2-Diabetes (T2D) – oftmals außer Acht gelassen. Dabei basiert die Argumentation eher auf Vorurteilen als auf Fakten, was Fortschritte auf dem Gebiet der Ernährungsmedizin behindert. Mit diesem Viewpoint soll dem Leser die Möglichkeit gegeben werden, sich über die Vorteile einer kohlenhydratreduzierten Ernährung zu informieren, Vorurteile abzubauen und (Schein-)Argumente ohne wissenschaftliche Basis zu erkennen. Auf Basis einer umfassenderen Bewertung kann dann besser entschieden werden, welche Therapieoption für den jeweiligen Patienten, auch unter Berücksichtigung dessen Präferenz, geeignet ist.
Ferrocenephosphonates: Copper-Promoted Synthesis and Further Functionalization
Authors: Erb William , Touil Soufiane , Abaid Kmar , Blot Marielle , Roisnel Thierry , Mongin Florence 
Published: February 2022

AbstractFerrocenephosphonates make up an important class of organometallic derivatives with a wide range of useful applications in organic synthesis and coordination chemistry. Here, an approach to ferrocenephosphonates based on a copper-promoted Hirao coupling is reported. Further functionalizations based on regioselective deprotolithiation and both Negishi and Suzuki–Miyaura cross-coupling reactions are also described to reach original derivatives.
Generation of Thiyl Radicals from Air-Stable, Odorless Thiophenol Surrogates: Application to Visible-Light-Promoted C–S Cross-Coupling
Authors: Ball Liam T. , Swan Charlie , Maggi Lorenzo , Park Mahri , Taylor Sophie , Shepherd William 
Published: February 2022

AbstractThe synthetic versatility of thiophenols is offset by their air-sensitivity and foul odor. It is demonstrated that S-aryl isothiouronium salts can be used as precursors to thiyl radicals, extending the practical benefits of these air-stable, odorless salts from ionic to single electron manifolds. The isothiouronium salts are accessed via Ni-catalyzed cross-coupling of (hetero)aryl iodides and thiourea and are isolated as free-flowing solids following anion exchange. Judicious choice of a redox-innocent counteranion enables use of these convenient thiophenol surrogates in radical processes, as is exemplified by the synthesis of non-symmetrical diaryl thioethers via light-promoted S-arylation.
The Swallow Tail Sign of Substantia Nigra: A Case–Control Study to Establish Its Role in Diagnosis of Parkinson Disease on 3T MRI
Authors: Gupta Ruchi , Kumar Gunjan , Kumar Subhash , Thakur Bhaskar , Tiwari Richa , Verma Amit Kumar 
Published: February 2022

Abstract

Background and Objectives The loss of swallow tail sign (STS) has been studied for the diagnosis of Parkinson's disease (PD). The study aims to establish the role of STS on high-resolution 3D susceptibility-weighted images (SWI) on 3T MRI in clinically diagnosed cases of PD and compare with control population.

Methods and Materials Forty-five patients with clinically diagnosed PD and Parkinson plus syndrome (PPS) formed the study group and were compared with 45 controls without any neurological disease and normal brain magnetic resonance imaging (MRI). Presence or absence of STS was studied on 1-mm thick axial 3D SWI images in bilateral substantia nigra by two radiologists independently, followed by consensus reading. Bilateral absent, unilateral absent, and faintly present STS were considered as absent STS and predicted PD or PPS, and bilateral presence was considered as a positive STS, and was assessed keeping the clinical diagnosis as the gold standard.

Results The sensitivity of the absent STS was 75.55%, specificity 97.77%, positive predictive value 97.14%, negative predictive value 80% and accuracy 86.66%, in the diagnosis of PD or PPS, with odd ratio of 132 (confidence interval 15.97–1098.75). Kappa coefficient was 0.80 (p < 0.001) for both inter- and intrarater agreement, suggesting high reproducibility for the detection of STS.

Conclusions Absence of the STS is a good predictor of degeneration of the nigrosome 1 in the substantia nigra in the PD or PPS patients; hence, it can act as a useful marker of these diseases.
Subacute Sclerosing Panencephalitis (SSPE): Experience from a Tertiary-Care Pediatric Center
Authors: Garg Meenal , Arora Anshita , Kulkarni Shilpa D. , Hegde Anaita Udwadia , Shah Krishnakumar N. 
Published: February 2022

Abstract

Introduction Subacute sclerosing panencephalitis (SSPE) is a devastating neurodegenerative disease occurring as a complication of measles infection that is still prevalent in low-resource countries. Clinical and electrographical variability in SSPE can lead to diagnostic delays.

Methods Children diagnosed with SSPE in a tertiary care pediatric hospital in India in a period of 8 years were included in the study. The diagnosis was established on the basis of Dyken's criteria. The demographic data, clinical presentations, investigations, treatment approaches, and outcomes were reviewed and recorded.

Results Thirty-four patients were included in the analysis. Average age at symptom onset was 7 years, 5 months. Majority of the children were not vaccinated for measles. Most patients (80%) presented with stage 2 of illness. Nearly 25% presented with atypical clinical features. Myoclonus was the most predominant feature seen after diagnosis. Electroencephalography (EEG) was the most useful investigation for suspecting the diagnosis. All patients showed deterioration in neurological status with time and 20% died during follow-up.

Conclusion Atypical presentations of SSPE must be recognized in areas with high incidence to institute timely treatment and establish prognosis. EEG findings were found to be the most important indicator for diagnosis. Measles eradication will pave the way for elimination of this dreaded disease.
Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature
Authors: Yousef Consuela C. , Salgado Teresa M. , Farooq Ali , Burnett Keisha , McClelland Laura E. , Abu Esba Laila C. , Alhamdan Hani S. , Khoshhal Sahal , Aldossary Ibrahim , Alyas Omar A. , DeShazo Jonathan P. 
Published: February 2022

AbstractBackground Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance.Objective The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework.Methods Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS.Results There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (β = 0.21, p = 0.01) and attitude (β = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships.Conclusion Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.
Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature
Authors: Douthit Brian J. , Walden Rachel L. , Cato Kenrick , Coviak Cynthia P. , Cruz Christopher , D'Agostino Fabio , Forbes Thompson , Gao Grace , Kapetanovic Theresa A. , Lee Mikyoung A. , Pruinelli Lisiane , Schultz Mary A. , Wieben Ann , Jeffery Alvin D. 
Published: February 2022

AbstractBackground The term “data science” encompasses several methods, many of which are considered cutting edge and are being used to influence care processes across the world. Nursing is an applied science and a key discipline in health care systems in both clinical and administrative areas, making the profession increasingly influenced by the latest advances in data science. The greater informatics community should be aware of current trends regarding the intersection of nursing and data science, as developments in nursing practice have cross-professional implications.Objectives This study aimed to summarize the latest (calendar year 2020) research and applications of nursing-relevant patient outcomes and clinical processes in the data science literature.Methods We conducted a rapid review of the literature to identify relevant research published during the year 2020. We explored the following 16 topics: (1) artificial intelligence/machine learning credibility and acceptance, (2) burnout, (3) complex care (outpatient), (4) emergency department visits, (5) falls, (6) health care–acquired infections, (7) health care utilization and costs, (8) hospitalization, (9) in-hospital mortality, (10) length of stay, (11) pain, (12) patient safety, (13) pressure injuries, (14) readmissions, (15) staffing, and (16) unit culture.Results Of 16,589 articles, 244 were included in the review. All topics were represented by literature published in 2020, ranging from 1 article to 59 articles. Numerous contemporary data science methods were represented in the literature including the use of machine learning, neural networks, and natural language processing.Conclusion This review provides an overview of the data science trends that were relevant to nursing practice in 2020. Examinations of such literature are important to monitor the status of data science's influence in nursing practice.
Genetic Profiling of Pediatric Patients with B-Cell Precursor Acute Lymphoblastic Leukemia
Authors: Akin-Bali Dilara Fatma , Doganay Erdogan Beyza , Aslar Oner Deniz , Mahmud Akkan , Tasdelen Serpil , Kurekci Emin , Akar Nejat , Ozdag Sevgili Hilal 
Published: February 2022

AbstractB-cell precursor acute lymphoblastic leukemia (BCP-ALL) is a heterogeneous leukemia subgroup. It has multiple sub-types that are likely to be classified by prognostic factors. Following a systematic literature review, this study analyzed the genes correlated with BCP-ALL prognosis (IKZF1, PAX5, EBF1, CREBBP, CRLF2, JAK2, ERG, CXCR4, ZAP70, VLA4, NF1, NR3C1, RB1, TSLP, ZNRF1, and FOXO3A), specifically their nucleotide variations and expression profiles in pediatric BCP-ALL samples. The study included 45 pediatric BCP-ALL patients with no cytogenetic anomaly and a control group of 10 children. The selected genes' hot-spot regions were sequenced using next-generation sequencing, while Polymorphism Phenotyping v2 and Supplemental Nutrition Assistance Program were used to identify pathogenic mutations. The expression analysis was performed using quantitative real-time polymerase chain reaction. The mutation analysis detected 328 variants (28 insertions, 47 indels, 74 nucleotide variants, 75 duplications, and 104 deletions). The most and least frequently mutated genes were IKZF1 and CREBBP, respectively. There were statistically significant differences between patients and controls for mutation distribution in eight genes (ERG, CRLF2, CREBBP, TSLP, JAK2, ZAP70, FOXO3A, and NR3C1). The expression analysis revealed that JAK and ERG were significantly overexpressed in patients compared with controls (respectively, p = 0.004 and p = 0.003). This study combined genes and pathways previously analyzed in pediatric BCP-ALL into one dataset for a comprehensive analysis from the same samples to unravel candidate prognostic biomarkers. Novel mutations were identified in all of the studied genes.
A Study to Assess the Correlation between Academic Test Anxiety and Self-Esteem among Undergraduate Students
Authors: Thomas Timi , Joseph Gincy , Paul Shynee 
Published: February 2022

Abstract
Introduction The time of examination and evaluation is a stressful period where stress is on its highest levels. To some extent, low level of stress can help in motivating the students; however, on the contrary more stress can be discouraging. It will make students exhausted, overwhelmed, and confused. So, the present study focuses on assessing the academic test anxiety and self-esteem among undergraduates. The objectives of the study were: determining the academic test anxiety and self-esteem among students and find out the correlation and association between academic test anxiety and self-esteem.
Materials and Methods A quantitative research approach had been adopted and descriptive correlational survey design was used to identify the academic test anxiety and self-esteem among first year students from selected constituent colleges of NITTE (Deemed to be University) at Paneer campus. The sample consisted of 300 first year undergraduate students. The participants were selected using convenient sampling technique. The data were collected using the sociodemographic pro forma, standardized Westside Test Anxiety Scale and State Self-Esteem Scale. The data were computed using descriptive statistics and inferential statistics like Karl Pearson's correlation coefficient test, Fisher's exact value, and chi-square value.
Result Majority of (79.9%) of the participants were in the age group of 18 to 19 years. The mean age of the participants was 18.56 ± 0.928 with minimum age 17 and maximum age of 21. Regarding entry level percentage of marks (Pre-University Course/+ 2), 34.7% of participants secured with more than 80% of marks in their entry level examination followed by 38.2% of the participants scoring between 70 and 79% and only 16 (5.6%) participants counted between 45 and 59%. Majority (76%) of the participants were females. The study reveals that 32.3% of the participants experienced moderate level of test anxiety and 17% of the participants experienced severe level of test anxiety followed by 34.7% participants experiencing mild levels of test anxiety. The mean test anxiety score was 2.97 ± 0.55 which indicates that average participants were showing moderate level of test anxiety. There is a significant medium positive correlation between academic test anxiety and self-esteem (r value = 0.497 and p ≤ 0.001). As the p-value was more than 0.05 (p = 0.09, p = 0.86), there is no significant association found between previous academic performance with level of academic test anxiety or self-esteem.
Conclusion The study concludes that, students' self-esteem can be enhanced and test anxiety can be reduced by creating an enabling environment for mentoring where they can practice assertiveness skills which will in turn boost their confidence to perform all academic tasks successfully.
Pictorial Depiction of an Institutional Experience of Acute Abdominal Emergencies in Cancer Patients with COVID-19 Infection
Authors: Jajodia Ankush , Jena Anuraag , Pasricha Sunil , Goel Shaifali , Gupta Gurudutt , Puri Sunil 
Published: February 2022

AbstractThe ongoing pandemic of coronavirus disease 2019 (COVID-19) poses a diagnostic and management challenge to the clinician, which further gets heightened when patients present with abdominal complications in a cancer care center. The atypical manifestations of the disease provide a diagnostic conundrum to the radiologist and leave the pathologist in the perils of guiding further management to the clinician. Although previous literature shows gastrointestinal involvement in COVID-19, we present a case series of complicated subjects with clinical imaging as a pictorial essay and relevant pathology. The abdominal manifestations of COVID-19 are complicated in cancer patients where a variety of other differentials such as infiltration by metastatic disease and drug-related chemo toxicity effects must be taken into account, which may be ruled out by clinical workup, adequate imaging, and laboratory tests. This would help achieve better clinical acumen and modify management in these subjects.
Equation of states for dense ice up to 80 GPa at low-temperature conditions
Authors: Fukui Hiroshi , Kadobayashi Hirokazu , Abe Hirotaka , Takahashi Ryunosuke , Wadati Hiroki , Hirao Naohisa 
Published: February 2022

We have measured the lattice volume of ice VIII in different pressure–temperature pathways and found that the volume depends on the pathway, implying that deviatoric stress makes the volume larger. Dense ice is in the ice VIII phase with the molar volume of 6.56 cm3 and in a high-pressure phase with the molar volume of 6.45 cm3 at 10 K where the pressure can be estimated as 57.0 ± 3.4 and 60.4 ± 3.6 GPa, respectively, based on the third-order Birch–Murnaghan equation with parameters determined in this study (K0 = 30.8 ± 1.3 GPa and K′0 = 3.7 ± 0.1 with V0 fixed to 12.030 cm3).
TRIM14 inhibits OPTN-mediated autophagic degradation of KDM4D to epigenetically regulate inflammation
Authors: Liu Di , Zhao Zhiyao , She Yuanchu , Zhang Lei , Chen Xiangtian , Ma Ling , Cui Jun 
Published: February 2022

Significance

Histone methylation regulates gene transcription through a variety of methylases and demethylases. The regulatory role of autophagy, an important process of protein degradation and recycling, in these histone modifiers is still unclear. We report that TRIM14 stabilized the histone demethylase KDM4D to facilitate the transcription of interleukin 12 (
Il12
) and
Il23
by inhibiting histone H3K9 trimethylation in vitro and in vivo. Mechanistically, TRIM14 recruited the deubiquitinases USP14 and BRCC3 to remove the K63-linked ubiquitin chains of KDM4D and prevented it from undergoing optineurin-mediated autophagic degradation. This study is valuable not only for increasing our understanding of the cross-talk between autophagy and epigenetic regulation, but also for demonstrating the potential of TRIM14 as a target for therapeutic interventions for inflammation-related diseases.