bluuebunny/crossref_metadata_2025_split huggingface dataset:
Docking study, molecular dynamic, synthesis, anti-α-glucosidase assessment, and ADMET prediction of new benzimidazole-Schiff base derivatives
Authors: Azizian Homa , Pedrood Keyvan , Moazzam Ali , Valizadeh Yousef , Khavaninzadeh Kimia , Zamani Ali , Mohammadi-Khanaposhtani Maryam , Mojtabavi Somayeh , Faramarzi Mohammad Ali , Hosseini Samanesadat , Sarrafi Yaghoub , Adibi Hossein , Larijani Bagher , Rastegar Hossein , Mahdavi Mohammad 
Published: September 2022

AbstractThe control of postprandial hyperglycemia is an important target in the treatment of type 2 diabetes mellitus (T2DM). As a result, targeting α-glucosidase as the most important enzyme in the breakdown of carbohydrates to glucose that leads to an increase in postprandial hyperglycemia is one of the treatment processes of T2DM. In the present work, a new class of benzimidazole-Schiff base hybrids 8a–p has been developed based on the potent reported α-glucosidase inhibitors. These compounds were synthesized by sample recantations, characterized by 1H-NMR, 13C-NMR, FT-IR, and CHNS elemental analysis, and evaluated against α-glucosidase. All new compounds, with the exception of inactive compound 8g, showed excellent inhibitory activities (60.1 ± 3.6–287.1 ± 7.4 µM) in comparison to acarbose as the positive control (750.0 ± 10.5). Kinetic study of the most potent compound 8p showed a competitive type of inhibition (Ki value = 60 µM). In silico induced fit docking and molecular dynamics studies were performed to further investigate the interaction, orientation, and conformation of the title new compounds over the active site of α-glucosidase. In silico druglikeness analysis and ADMET prediction of the most potent compounds demonstrated that these compounds were druglikeness and had satisfactory ADMET profile.
Design, development and characterization of resistive arm based planar and conformal metasurfaces for RCS reduction
Authors: Tiwari Priyanka , Pathak Surya Kumar , Siju Varsha 
Published: September 2022

AbstractThis paper reports the design, development and characterization of a broadband, polarization insensitive metasurface absorber in planar, cylindrically bent and 90° dihedral surface geometry. Four metallic patches loaded with eight lumped resistors are used, which has been optimized numerically using CST MICROWAVE STUDIO, as a unit cell of developed metasurface absorber, to achieve 20 dB reflection reduction for 51.21% fractional bandwidth (13.42–22.66 GHz) under normal incidence with 0.12 $${\lambda }_{L}$$

λ
L

thickness (where $${\lambda }_{L}$$

λ
L

corresponds to lower operating frequency). The numerical findings are also verified analytically using equivalent circuit analysis, which exhibits very good agreement. Polarization-insensitive characteristics are achieved using fourfold rotation symmetry of the designed structure. The fabricated prototype of the designed absorber is experimentally characterized, using free space measurement method and ABmm vector network analyzer (VNA) system, and fairly good agreement with numerical-analytical findings are reported. The major novelty of this study is the design and development of a broadband (13.42–22.66 GHz), polarization insensitive metasurface absorber that provides 20 dB reflection reduction numerically as well as experimentally in the whole band, which to the author’s knowledge has not been observed till now. Also, keeping in mind the radar stealth applications, first time we have demonstrated both numerically and experimentally, different geometrical shapes of conformal metasurfaces that can be practically used in actual scenario.
On the optimal texture shape with the consideration of surface roughness
Authors: Bei Guangyao , Ma Chenbo , Wang Xilong , Sun Jianjun , Ni Xingya 
Published: September 2022

AbstractThe optimal texture shape considering surface roughness is determined by solving the average Reynolds equation, selecting Jakobsson–Floberg–Olsson boundary conditions, and using a genetic algorithm. The effects of surface roughness as indicated by the combined root-mean-square (RMS), surface pattern parameter, and operating parameters on the friction coefficient, area ratio, and depth of the optimal self-defined shape and optimal dimple were studied. Results show that the friction coefficient will be significantly reduced during the shape optimization considering the effect of surface roughness. The variation laws of the optimal dimple area ratio with the combined RMS, surface pattern parameter, minimum film thickness, sliding speed and the variation law of the optimal depth of the optimal self-defined shape with surface roughness and working parameters are obtained. Finally, this study concludes that the influence of roughness parameters on the optimal dimple shape is greater than that on the optimal self-defined shape under different sliding speeds.
Recovery of virus-free Almond (Prunus dulcis) cultivars by somatic embryogenesis from meristem undergone thermotherapy
Authors: Ebrahimi Maryam , Habashi Ali Akbar , Emadpour Masoumeh , Kazemi Nooshin 
Published: September 2022

AbstractOne of the world's main horticulture problems is the contamination of fruit trees with a variety of plant diseases, especially viral and pseudo-viral diseases. Due to the non-sexual propagation of the trees, these diseases have been transmitted to different parts of the world. The main aim of this study was to obtain a new effective method for virus elimination from almond cultivars, which was performed in two phases. In the first phase, we tested various almond cultivars with ELISA and RT-PCR. The results showed the infection of mother plantlets. So, three types of in vitro thermotherapy treatments were performed on infected plants to make them virus-free. The plantlets obtained from 0.5 mm meristem treated with the first type of thermotherapy (TH1: 8 h at 27 °C and 16 h at 38 °C for 18 days) showed the highest percentage of elimination of ApM, ACLS and TRS viruses. In the second phase, meristems were cultured on MS medium containing 0, 0.5, 1 and 2 mg/L 2,4-D with 1 mg/L TDZ and after two weeks, thermotherapy treatments were performed. The results showed, combining three methods of thermotherapy (TH1), meristem culture and somatic embryogenesis induction from meristem on MS medium supplemented with 0.5 mg/L 2,4-D and 1 mg/L TDZ is the most effective and safe technique for virus eradication without meristem size challenges. The samples that were diagnosed as virus-free were proliferated in temporary immersion bioreactor systems, and rooted to be used for later propagation and establishment of mother healthy orchards.
Clinical, laboratory characteristics and growth outcomes of children with growing pains
Authors: Liao Chung-Yuan , Wang Li-Chieh , Lee Jyh-Hong , Wu Kuan-Wen , Lin Yu-Tsan , Yang Yao-Hsu , Chiang Bor-Luen , Yu Hsin-Hui 
Published: September 2022

AbstractGrowing pains (GP), a common and benign pain syndrome of unknown etiology, is characterized by bilateral recurrent leg pain in childhood. There are no standardized diagnostic criteria for GP, and the diagnosis is often made by exclusion. To identify clinical and laboratory features, we included patients < 12 years with GP at National Taiwan University Children’s Hospital between April 2006 and April 2019 in a retrospective study. We also compared body weight and body height z-scores between diagnosis and up to 2 years post-diagnosis to determine if rapid growth was associated with GP. This cohort study included 268 patients with a mean age of 4.7 ± 2.2 years. The most common features of GP were bilateral leg pain, no limitation of activity, intermittent pain, normal physical examination, and being well physically. The average number of Walters' criteria fulfilled by the patients with GP was 6.7 ± 0.9. Elevated serum levels of alkaline phosphatase (ALP) and lactate dehydrogenase (LDH) were observed in 37.5% and 15.6% of patients, respectively. Symptomatic medications were used in 33% of patients. Our study indicates that ALP and LDH may be biomarkers associated with GP. There was no significant association between GP and rapid growth within 2 years of diagnosis.
Evolution of high-order Tamm plasmon modes with a metal-PhC cavity
Authors: Li Liang , Hao Haoyue 
Published: September 2022

AbstractWe put forward the concept of high-order Tamm plasmon (TP) modes which are illustrated with a simple metal-Bragg mirror cavity. Results show series orders of TP modes are gradually generated through adjusting the thickness of the cavity, for which traditional TP modes only corresponds to the zero-order modes. The reflectance spectra and electric field distributions are compared to demonstrate the consistency of these series of TP modes. Meanwhile, the excitation intensity of different order TP modes are studied. Results show that the excitation intensity is related directly to the TP mode wavelength, and has no relation to the order number. These results might provide new ideas to the study of TP modes and guide the design and optimization of TP based devices.
Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators
Authors: Liang Jingkang , Liao Yixiao , Chen Zhuyun , Lin Huibin , Jin Gang , Gryllias Konstantinos , Li Weihua 
Published: September 2022

AbstractDeep learning‐based methods have been widely used in the field of rotating machinery fault diagnosis. It is of practical significance to improve the calculation speed of the model on the premise of ensuring accuracy, so as to realise real‐time fault diagnosis. However, designing an efficient and lightweight fault diagnosis network requires expert knowledge to determine the network structure and adjust the hyperparameters of the network, which is time‐consuming and laborious. In order to design fault diagnosis networks considering both time and accuracy effortlessly, a novel lightweight network with modified tree‐structured parzen estimators (LN‐MT) is proposed for intelligent fault diagnosis of rotating machinery. Firstly, a lightweight framework based on global average pooling and group convolution is proposed, and a hyperparameter optimisation (HPO) method based on Bayesian optimisation called tree‐structured parzen estimator is utilised to automatically search the optimal hyperparameters for the fault diagnosis task. The objective of the HPO algorithm is the weighting of accuracy and calculating time, so as to find models that balance both time and accuracy. The results of comparison experiments indicate that LN‐MT can achieve superior fault diagnosis accuracies with few trainable parameters and less calculating time.
Adaptive neural fault‐tolerant control of an uncertain 2‐DOF helicopter system with actuator faults and output error constrains
Authors: Cao Liang , Zhang Jian , Liu Shuangyin , Zhao Zhijia 
Published: September 2022

AbstractThis paper develops an adaptive neural fault‐tolerant control for an unknown two‐degree of freedom helicopter nonlinear system with output error constraints, actuator fault, and unknown external disturbances. A neural network disturbance observer is used to estimate system uncertainties and actuator gain failures. The tan‐type barrier Lyapunov equation is used to solve the system's output error constraint. To compensate for actuator bias failures and unknown external disturbances in the system, an adaptive auxiliary parameter is established. Furthermore, rigorously analyzing the chosen Lyapunov function, the system's stability is ensured. Finally, the numerical simulation results prove the rationality and effectiveness of the proposed control strategy.
Attention transfer from human to neural networks for road object detection in winter
Authors: Boisclair Jonathan , Kelouwani Sousso , Ayevide Follivi Kloutse , Amamou Ali , Alam Muhammad Zeshan , Agbossou Kodjo 
Published: September 2022

AbstractAs an essential feature of autonomous road vehicles, obstacle detection must be executed on a real‐time onboard platform with high accuracy. Cameras are still the most commonly used sensors in autonomous driving. Most detections using cameras are based on convolutional neural networks. In this regard, a recent teacher–student approach, called transfer learning, has been used to improve the neural network training process. This approach has only been used with a neural network acting as a teacher to the best of our knowledge. This paper proposes a novel way of improving training data based on attention transfer by getting the attention map from a human. The proposed method allows the dataset size reduction by 50%, which leads to up to a 60% decline in the training time. The experimental results indicate that the proposed method can enhance the F1‐score of the network by up to 10% in winter conditions.
A single‐model multi‐task method for face recognition and face attribute recognition in internet of things and visual computing
Authors: Lu Jin , Wu Bo 
Published: September 2022

AbstractThe use of the internet of things (IoT) is steadily increasing in a wide range of applications. Integration of IoT, computer vision, and artificial intelligence can improve people's daily life in various domains such as smart homes, smart cities, and smart industries. There are a large number of face recognition and face attribute recognition scenarios in reality, and the industry commonly decomposes these tasks, with three models responsible for handling face detection, face recognition, and face attribute recognition. The multi‐model approach requires a lot of computational resources for context switching, while training one model with one dataset is not only complex, but also leads to overfitting of the multi‐model approach. The authors propose a single‐model multi‐task approach, which can complete all tasks using only one model, and thus obtains a great improvement in inference speed, especially in scenes with high face density. After an experimental comparison, our approach saves a maximum of 96% of inference time, 49.5% of memory usage, and 59.7% of CPU time, avoids frequent context switching, and simplifies the training steps while improving the generalization performance of the model.
Preparation and properties of different dielectric films with Al metal electrode
Authors: Dong Qi , Zhong Shao‐Long , Feng Qi‐Kun , Zheng Ming‐Sheng , Ping Jiang‐Bo , Dang Zhi‐Min 
Published: September 2022

AbstractAl electrodes with different thickness (sheet resistance 2–100 Ω/□) were deposited onto the films of polypropylene (PP), polyester (PET) and polyimide (PI) by vacuum evaporation. The root‐mean‐square (RMS) and peak‐to‐valley roughness of Al electrodes were characterised by atomic force microscopy (AFM). It was found that the PET and PI substrates showed the reduced threshold thickness of the continuous growth of Al electrodes compared with the PP substrate. The sheet resistance of Al electrodes decreases with the increase of peak‐to‐valley roughness. The current surge capability of the Al electrode decreases with the increase of RMS roughness. The Al electrode deposited on the PET film has higher sheet resistance and better current carrying capability, and the self‐healing performance of metallised film is also excellent among three kinds of films.
Stochastic excitation of internal gravity waves in rotating late F-type stars: A 3D simulation approach
Authors: Breton S. N. , Brun A. S. , García R. A. 
Published: September 2022

Context. There are no strong constraints placed thus far on the amplitude of internal gravity waves (IGWs) that are stochastically excited in the radiative interiors of solar-type stars. Late F-type stars have relatively thin convective envelopes with fast convective flows and tend to be fast rotators compared to solar-type stars of later spectral types. These two elements are expected to directly impact the IGW excitation rates and properties.
Aims. We want to estimate the amplitude of stochastically excited gravity modes (g-modes) in F-type stars for different rotational regimes.
Methods. We used the ASH code to perform 3D simulations of deep-shell models of 1.3 M⊙ F-type solar-type stars, including the radiative interior and the shallow convective envelope.
Results. We found different differential rotation regimes in the convective zone, depending on the rotation rate we imposed on the stellar models. We find that the convective structures and the overshoot properties are affected by rotation. The IGWs are excited by interface interactions between convective plumes and the top of the radiative interior. We were able to characterise the IGWs and g-mode properties in the radiative interior, and we compared these properties using the computation from the 1D oscillation code GYRE. The amplitude of low-frequency modes is significantly higher in fast-rotating models and the evolution of the period spacing of consecutive modes exhibits evidence of a behaviour that is modified by the influence of the Coriolis force. For our fastest rotating model, we were able to detect the intermediate degree g-mode signature near the top of the simulation domain. Nevertheless, the predicted luminosity perturbations from individual modes still remain at small amplitudes.
Conclusions. We obtained mode amplitudes that are several orders of magnitude higher than those of prior 3D simulations of solar models. Our simulations suggest that g-mode signatures could be detectable in late F-type stars, which are the hottest main-sequence solar-type pulsating stars. We therefore emphasise that they constitute object of primary importance for improving our understanding of internal stellar dynamics.
Unterstützungsmöglichkeiten von jungen Erwachsenen mit einer psychischen Erkrankung und Herausforderungen während der Transition
Authors: Ilgaz Ayca , Fegert Jörg M. , Schulze Ulrike M. E. , Baumeister Harald 
Published: September 2022

ZUSAMMENFASSUNGDer Übergang von der kinder- und jugendpsychiatrischen und -psychotherapeutischen Versorgung (KJPP) zu Versorgungsangeboten im Erwachsenenbereich stellt für junge Menschen mit psychischen Erkrankungen eine Herausforderung dar. Es drohen Behandlungsabbrüche, die Behandlungs- und Versorgungskontinuität ist gefährdet. Erfahrungen zeigen, dass nur ein kleiner Teil der jungen Erwachsenen einen reibungslosen Übergang erlebt, während die Mehrheit in die „Transitionslücke“ fällt. Nach einer Übersichtsdarstellung zu Forschungsergebnissen zu hiermit verbundenen Hindernissen innerhalb des Gesundheits- und Sozialsystems, stellt dieser Artikel traditionelle und neue digitale Möglichkeiten (ProTransition-App) zur Unterstützung junger Menschen in dieser Lebensphase vor.
101 Jahre Rorschachtest
Authors: Brugger Peter 
Published: September 2022

ZUSAMMENFASSUNGVor 100 Jahren verstarb der Schweizer Psychiater Hermann Rorschach, nur ein Jahr nach der Geburt seines berühmt gewordenen Tests. Vorliegender Beitrag würdigt beide, Rorschach, den Menschen, und Rorschach, den Test. Herrmann Rorschach war Künstler, Arzt und Wissenschaftler. Das Deutenlassen von Zufallsformen war nur eines von vielen Forschungsinteressen, die er verfolgte. Zwar hoffte er, seine Tintenkleckse einmal diagnostisch einsetzen zu können, sah aber einen noch langen Weg wahrnehmungspsychologischer Experimente vor sich. Sein früher Tod ließ ihn den ungeahnten Erfolg seiner Klecksmethode nicht mehr erleben. Von Amerika aus verbreiteten sich die 10 standardisiert beklecksten Tafeln über die ganze Welt; der Rorschachtest avancierte zum populärsten projektiven Verfahren der Testpsychologie. Wenn auch gegen Ende des vergangenen Jahrhunderts eine Abnahme der Veröffentlichungen zur Rorschach-Diagnostik zu verzeichnen war, zeugen neurowissenschaftliche Arbeiten von einem Sich-Besinnen auf die ursprünglichen wahrnehmungspsychologischen Ziele Hermann Rorschachs. So aktivieren etwa Klecksassoziationen, die eine Bewegung implizieren, das Spiegelneuronensystem und bilden damit eine Brücke zwischen Sehen, Kinaesthesie und Einfühlung. Lateralisiert-tachistoskopische Stimulation der beiden Gehirnhälften mit Rorschachs Klecksen validieren seine „Psychodiagnostik“ und belegen gleichzeitig die Rolle hemisphärenspezifischer Verarbeitungsprozesse für die Persönlichkeitspsychologie.
Entwicklung einer Gruppenintervention zur Unterstützung von Adoleszenten im Corona-bedingt erschwerten Übergang ins Erwachsenenleben
Authors: Neumerkel Johanna , Fritz Sarah , Hiller Therese , Neumann Sebastian , Gindele Verena , Böge Isabel , Fegert Jörg M. , Witt Andreas 
Published: September 2022

ZUSAMMENFASSUNG
Ziel Zentrales Ziel ist die Unterstützung der Adoleszenten im Corona-bedingt erschwerten Übergang ins Erwachsenenleben durch die Steigerung der Problemlöse- und Selbstlenkungsfähigkeit. Die Jugendlichen und jungen Erwachsenen werden mit der Teilnahme an der Intervention darin gestärkt, eigene Fähigkeiten und Ressourcen wahrzunehmen und zu nutzen sowie bei Bedarf aktiv Hilfen in Anspruch zu nehmen.
Methodik Im Rahmen des Projekts „Dazugehören BaWü“ wird eine Gruppenintervention partizipativ entwickelt. Die Intervention stützt sich auf die Self-Determination Theory sowie die ökologische Resilienzdefinition nach Michael Ungar und zielt so auf die Stärkung der Selbstlenkungsfähigkeit und Problemlösefähigkeit ab. Die Zielgruppe der Intervention sind Adoleszente zwischen dem 15. und 27. Lebensjahr, welche Unterstützung im Übergang ins Erwachsenenleben benötigen.
Ergebnisse Zur Durchführung der Gruppenintervention werden ein Manual, ein Workbook sowie eine begleitende App entwickelt. Die Gruppenintervention umfasst 7 Sitzungen à circa 90 Minuten. Die begleitende App steht den Adoleszenten zwischen den Gruppensitzungen zur Verfügung, um erarbeitete Inhalte durch Videos, Podcasts oder Aufgaben zu vertiefen.
Diskussion Die Gruppenintervention wird im Herbst 2022 in 4 Modellstandorten zum Einsatz kommen und durch eine Prä-Post-Erhebung hinsichtlich der Nützlichkeit, Qualität und Umsetzbarkeit evaluiert.
Influence of Sodium-Glucose Cotransporter-2 Inhibitors on Plasma
Adiponectin in Patients with Type 2 Diabetes: A Meta-Analysis of Randomized
Controlled Trials
Authors: Wang Yang , Xia Ning 
Published: September 2022

AbstractThe influence of sodium-glucose cotransporter-2 (SGLT-2) inhibitors on plasma
adiponectin remains not comprehensively evaluated. We performed a meta-analysis
to systematically evaluate the effect of SGLT2 inhibitors on plasma level of
adiponectin in patients with type 2 diabetes mellitus (T2DM). Randomized
controlled trials comparing SGLT-2 inhibitors with non-active controls on plasma
adiponectin in T2DM patients were retrieved by search of the Medline (PubMed),
Embase, and CENTER (Cochrane Library) databases from inception to April 5, 2022.
Study characteristics and outcome data were independently extracted by two
authors. A random-effect model by incorporating the potential between-study
heterogeneity was used to combine the results. Fourteen studies with 2142
patients contributed to the meta-analysis. Compared to placebo, SGLT-2
inhibitors significantly increased plasma adiponectin [standard mean difference
(SMD): 0.35, 95% CI: 0.24 to 0.46, p<0.001] with mild
heterogeneity (I2=19%). Predefined subgroup analyses suggested
that tofogliflozin (SMD: 0.37, p<0.001), luseogliflozin (SMD: 0.51,
p<0.001), and ipragliflozin (SMD: 0.34, p<0.001) were associated
with increased adiponectin, but not for dapagliflozin (SMD: 0.14, p 0.26). In
addition, SGLT-2 inhibitors were associated with increased adiponectin in
studies from Asia (SMD: 0.42, p<0.001), but not in studies from the
western countries (SMD: 0.16, p 0.17). Moreover, the increment of adiponectin
was more significant in patients with body mass index
(BMI)<30 kg/m2 (SMD: 0.46, p<0.001) than that in
patients with BMI≤30 kg/m2 (SMD: 0.19, p 0.02, p for
subgroup difference 0.01). In conclusion, SGLT-2 inhibitors could significantly
increase plasma adiponectin as compared with placebo in T2DM patients.