bluuebunny/crossref_metadata_2025 huggingface dataset:
Selbstwirksamkeit von Lehrpersonen bei der Entwicklung einer personalisierten Lehr-Lernkultur
Authors: Florin Margaretha , Stebler Rita , Pauli Christine , Reusser Kurt
Published: November 2022

In diesem Beitrag wird die Bedeutung der Selbstwirksamkeit von Lehrpersonen bei der Entwicklung einer personalisierten Lehr-Lernkultur untersucht. Die Auswertung der längsschnittlich erhobenen Fragebogendaten von 188 Lehrpersonen aus 42 Primar- und Sekundarschulen mittels Skalen- und Korrelationsanalysen sowie auto-regressiven Modellen ergibt folgende Hauptbefunde: Die Lehrpersonen schätzen ihre Selbstwirksamkeit in Bezug auf Unterrichtsentwicklung zu personalisiertem Lernen in drei aufeinanderfolgenden Schuljahren jeweils hoch ein. Ihre hohe Selbstwirksamkeit lässt sich auf personale (Enthusiasmus, Identifikation mit der Schule), nicht aber auf subjektiv wahrgenommene Kontextfaktoren (Kollektive Selbstwirksamkeit, Schulklima, Innovationsklima) zurückführen und hängt positiv mit rückblickend berichteten lehr- und lernseitigen Veränderungen zusammen. Die Ergebnisse der Studie zeigen, dass die Selbstwirksamkeit der Lehrpersonen auch bei der Unterrichtsentwicklung zu personalisiertem Lernen eine nicht zu unterschätzende Rolle spielt und daher empirisch genauer beleuchtet und in der Entwicklungspraxis beachtet werden sollte.
Effects of hormonal treatment on dermatological outcome in transgender people: a multicentric prospective study (ENIGI)
Authors: Cocchetti C. , Castellini G. , Maggi M. , Romani A. , Vignozzi L. , Greenman Y. , den Heijer M. , T’Sjoen G. , Fisher A. D.
Published: November 2022

Purpose

The aim of our study was to assess dermatological changes in transgender people after the start of gender-affirming hormonal treatment (GAHT) and to investigate whether various hormonal preparations differently affect dermatological changes in trans AFAB (assigned female at birth) people.

Methods

In a multicenter prospective study, 484 participants (193 assigned male at birth/AMAB and 291 AFAB) were evaluated at baseline (T0), 6 (T1) and 12 months (T2) after the start of GAHT. Hair growth was assessed by the Ferriman–Gallwey (FG) score, acne by the Global Acne Grading Scale (GAGS), and alopecia by the Norwood Hamilton (NH) score.

Results

In AFAB people, a significant increase in FG score and NH grade was observed across time, as well as in GAGS score in a subsample of 71 individuals (p < 0.001). Testosterone (T) undecanoate and esters showed a higher increase in hair distribution at T2 vs. T1 as compared to T gel (p < 0.01). T esters showed a significantly higher impact in GAGS score modifications at T1 and at T2 vs. T0 compared to T gel (p = 0.021 and p = 0.003, respectively). In trans AMAB people, a significant decrease of FG score was observed across time (p < 0.001), although 51.3% of individuals still reported an FG score higher than eight after 12 months.

Conclusion

T treatment increased hair growth, acne and alopecia prevalence in AFAB people, with T undecanoate and esters influencing hair growth more than T gel. Opposite dermatological changes were observed in AMAB people.
An adaptive timing mechanism for urban traffic pre-signal based on hybrid exploration strategy to improve double deep Q network
Authors: Liu Minglei , Zhang Huizhen , Chen Youqing , Xie Hui , Pan Yubiao
Published: November 2022

With the increasing traffic congestion in cities, the priority of public transit has become a consensus for the development and management of urban transportation. The traffic pre-signal mechanism, which gives priority in time and space to buses by optimizing road right-of-way allocation, has gained wide attention and application. In order to broaden the action exploration range of the agent and avoid the pre-signal decision from falling into suboptimal strategy or local optimal strategy. For the exploration strategy of the DDQN algorithm, this paper reduces the probability of directly selecting the local optimal action and increases the probability of selecting non-greedy actions based on the principle that “the action with a larger value function is more likely to be selected.” This paper addresses the problem that the existing urban traffic pre-signal mechanism cannot adaptively adjust the advance time, and proposes a traffic pre-signal adaptive timing mechanism based on a Hybrid Exploration Strategy Double Deep Q Network (HES-DDQN) by combining the$$\epsilon $$ϵ-greedy strategy and Boltzmann strategy. We have used the traffic simulation software VISSIM to conduct simulation experiments on an intersection. The experimental results show that, compared with the method of setting no pre-signal and the formula method of setting pre-signal, the HES-DDQN pre-signal mechanism can significantly reduce the average delay of buses, the waiting queue length, and the number of stops of social vehicles.
Introducing a new grading method for the diagnosis and grading of internal rectal prolapse in children
Authors: Delshad Salahedin , Delshad Balal , Mogheimi Parisa , Heidari Ghobad
Published: November 2022

Abstract

Introduction

Internal rectal prolapse is an irritating gastrointestinal disease and one of the causes of obstructive constipation in children under 15 years of age. This study aimed to introduce a new method and grading for diagnosing internal rectal prolapse in children. This study is based on the experience of the last ten years, which was re-evaluated as research using a control group.

Method

This is a prospective cross-sectional study. The results of the Delshad-Mash test were analyzed in 60 patients with internal rectal prolapse referred to (XXX) from January 2019 to June 2021. Another 60 children referred for non-digestive surgeries such as hernia and hypospadias with parental consent Were selected as a control group. The sensitivity of the Mesh Delshad test in diagnosing and measuring the degree of internal prolapse of the rectum was analyzed by placing the data in STATA software, version II. P < 0.05 was considered to show statistical significance.

Results

This study included 120 patients (52 girls and 68 boys) with a body age of 6 months–15 years and a mean age of 45 ± 4.7 years. The study group consisted of 60 patients with symptoms of internal rectal prolapse and 60 patients without the symptoms described in the file. The ROC curve was used to evaluate the accuracy of the test. The ROC curve showed that the sensitivity and specificity for the mesh test as a diagnostic indicator are 89.71% and 92.31%, respectively. The thickness of the folded (prolapsed) mucosa was measured and divided into four degrees according to the rectum’s internal prolapse.

Conclusion

According to the results and experiences obtained from this study, the Delshad Mesh method is beneficial for diagnosing internal rectal prolapse that has positive clinical symptoms.

Highlights
The effect of slip on the development of flow separation due to a bump in a channel
Authors: Ceccacci Silvia , Calabretto Sophie A.W. , Thomas Christian , Denier James P.
Published: November 2022

A numerical study on the effect of surface slip on the flow in a constricted channel is presented, with the aim of exploring the use of surface slip to control flow separation. Our focus is on two-dimensional flow in a channel over a bump, with a fixed aspect ratio, upon which a Robin-type slip boundary condition is imposed. When the channel walls are fully no-slip, such a flow is known to develop a region of separation behind the bump, at sufficiently large Reynolds numbers. The effect of slip on the separation bubble dynamics occurring behind the bump is investigated, for Reynolds numbers

$2000$

and

$4000$

. It is shown that surface slip (i) attenuates the intensity of separation as it diminishes the minimum of the streamwise velocity within the recirculation region; (ii) delays the onset of flow separation, shifting it downstream, along the bump, and (iii) reduces the dimensions of the separation bubble behind the bump, allowing the flow to reattach sooner. Ultimately, slip inhibits separation, with both the points of separation and reattachment coalescing, for a slip length

$\lambda$

of approximately

$0.2$

.
PROMPTING CLIMATE CHANGE MITIGATION THROUGH LITIGATION
Authors: Mayer Benoit
Published: November 2022

Courts and scholars have interpreted open-ended legal norms as imposing due diligence obligations on States and other entities to mitigate climate change. These obligations can be applied in two alternative ways: through holistic decisions, where courts determine the level of mitigation action required of defendants; or through atomistic decisions, where courts identify some of the measures that the defendant must take. This article shows that, whilst most holistic cases fail on jurisdictional grounds, atomistic cases frequently succeed. Overall, it is argued that atomistic litigation strategies provide more realistic and effective ways for plaintiffs to prompt enhanced mitigation action.
Selection Bias in Mutual Fund Fire Sales
Authors: Berger Elizabeth A.
Published: November 2022

Liquidity trading following mutual fund outflows creates a potentially powerful empirical setting in which stock price variation is unrelated to changes in firm fundamentals. Instrumental variables (IVs) drawn from this setting impose an additional assumption that managers sell firms in proportion to portfolio weights. I show that this assumption causes selection bias in these IVs. It misallocates large price impacts to poorly performing, illiquid firms with lower growth – firms that managers systematically avoid selling. Simulations show that selection bias doubles the magnitude of regression coefficients and precludes potential fixes. Numerous recent studies exploiting these IVs should be reevaluated.
‘God is against Nationalism’: Averbuch and the Jewish Christians of Interwar Romania
Authors: Ploscariu Iemima
Published: November 2022

The Romanian government encountered unexpected difficulties after the First World War with the increase of religious minorities, particularly evangelicals in the newly acquired border region of Bessarabia. International affiliations and increasing success in rural areas led government officials and the Romanian Orthodox Church to label these groups as foreign pawns or socially deviant sectarians. The Baptist Church in Chișinău proved a special case of concern as its leadership included a Jewish man, Lev Averbuch. Averbuch's congregation was a diverse religious community, filled with Romanians, Russians, Bulgarians, Jews, Greeks, and others. Their multi-ethnic composition, multi-lingual services, ties to international organisations, and controversial sermons speaking out against nationalism and antisemitism were used by police and Orthodox Church authorities to paint them as a threat to national security. The analysis of Averbuch's interwar community of Jewish Christians in Chișinău shows the region was not a homogenous religious space and that religious identity was of greater value than national identity. It provides insight into the fluidity of religious, ethnic, and even geographic borders, and how policies of national consolidation were challenged at the local level by religious minorities during Europe's tumultuous interwar years.
3D-printed wideband Vivaldi antenna for millimeter wave applications
Authors: Ahmad Zunnurain , Harle Lee
Published: November 2022

Main aim behind this study is to utilize 3D printing technique for designing and fabrication of a flexible wideband Vivaldi antenna for the upcoming 5 G systems. Frequency bands starting from 24 up to 65 GHz are receiving particular attention as they have potential for both high data rate communications and high-resolution radar applications. A Vivaldi antenna is used for its very wideband properties and planar design. The radiating structure covers a bandwidth of 25–65 GHz for a match better than −10 dB and demonstrates reasonably high gain and efficiency performance. The simulated radiation efficiency of the antenna remains above 90% for the entire bandwidth. Hence, the main advantage of this approach is that wideband or switched transceivers for future 5 G communications can be integrated using this concept without the need of complex matching networks.
Scale‐Dependent Ocean Vertical Correlations in the California Current System
Authors: D’Addezio Joseph M. , Jacobs Gregg A.
Published: November 2022

We present observation and model estimates of temperature and salinity depth‐depth cross‐correlations in two different horizontal scale regimes. Glider data from the 2021 S‐MODE pilot campaign were assimilated into an ocean simulation using a three dimensional variational algorithm. We map the glider time series into distance allowing a Fourier analysis of model errors in wavenumber space. Power spectra indicate model error variance is less than the observed variance at scales larger than approximately 250 km. Based on this result, a Gaussian filter partitions the glider and model data into larger and smaller scale series at each depth. The larger and smaller scale temperature and salinity cross‐correlations between depths are compared and contrasted. Glider and model cross‐correlations are found to be similar, implying that the model physics at scales not constrained by the observations are similar to the true world.
ENSO Teleconnections More Uncertain in Regions of Lower Socioeconomic Development
Authors: Lieber Ruby , King Andrew , Brown Josephine , Ashcroft Linden , Freund Mandy , McMichael Celia
Published: November 2022

The El Niño Southern Oscillation (ENSO) impacts climate variability globally and can influence extreme climate and weather events. We quantify the uncertainty in ENSO's atmospheric teleconnections with extremes using the Twentieth Century Reanalysis, showing that uncertainty estimates vary regionally over the historical period. Uncertainty is found to be greater in regions of lower socioeconomic development. This can be linked to the limited availability of observational data in these regions as well as difficulties constraining tropical climate dynamics in global gridded atmospheric data sets. Poorer locations face greater challenges due to lack of understanding of past variability limiting confidence in regional projections.
Lunar Magnetic Anomalies and Polar Ice
Authors: Hood Lon L. , Bryant Isabella , van der Leeuw Jacob
Published: November 2022

Solar wind ion sputtering is one of several non‐negligible loss mechanisms for water ice in permanently shadowed regions (PSRs) near the lunar poles. Previous estimates of the solar wind ion flux within south polar PSRs have considered only the ambient solar wind flow and effects of topography. Here, improved maps of crustal magnetic fields in the lunar polar regions are constructed, confirming that more anomalies are present near the south pole than near the north pole. These anomalies have moderate amplitudes, occur over at least two permanently shadowed craters, and correlate approximately with the exposed water ice distribution. Because of the low angle of solar wind incidence near the poles, these anomalies are likely effective in reducing the ion flux, and any resulting water ice loss rate. These anomalies may therefore explain why more water ice is found near the south pole than near the north pole.
Excitation of the Madden‐Julian Oscillation in Response to Transient Ocean Warming in SPCAM
Authors: Liang Yu , Fedorov Alexey V.
Published: November 2022

Recent studies have suggested that the Madden‐Julian oscillation (MJO) could be generated as part of atmospheric adjustment to localized equatorial heating in models properly resolving moist convection. Here we use the Super‐parameterized Community Atmosphere Model (SPCAM) to study atmospheric response to transient sea surface warming in the equatorial Indian Ocean, which leads to the excitation of an MJO event, robust across different experiments, in addition to the expected equatorial Rossby and Kelvin waves. A moist static energy (MSE) budget analysis suggests that longwave and surface turbulent latent heat flux anomalies are predominantly responsible for the MJO excitation; however, these terms oppose its eastward propagation. In contrast, advection of MSE generally weakens the MJO amplitude, but contributes to its eastward propagation. These results highlight the role of the MJO in the moist atmospheric adjustment to localized tropical heating, with implications for the MJO mechanisms and prediction.
Improving and Harmonizing El Niño Recharge Indices
Authors: Izumo Takeshi , Colin Maxime
Published: November 2022

El Niño Southern Oscillation (ENSO) is the leading mode of interannual climate variability, with large socioeconomical and environmental impacts. The main conceptual model for ENSO, the Recharge Oscillator (RO), considers two independent modes: the fast zonal tilt mode in phase with central‐eastern Pacific Temperature (Te), and the slow recharge mode in phase quadrature. However, usual indices (western or equatorial sea level/thermocline depth h) do not orthogonally isolate the slow recharge mode, leaving it correlated with Te. Furthermore the optimal index is currently debated. Here, we develop an improved recharge index by objectively optimizing the RO equations fit to observations. (a) Te‐variability is regressed out, to build hind statistically‐independent from Te. Capturing the pure recharge, hind reconciles usual indices. (b) The optimum is equatorial plus southwestern Pacific hind_eq+sw (because of ENSO Ekman pumping meridional asymmetry). Using hind_eq+sw, the RO becomes more consistent with observations. hind_eq+sw is more relevant for ENSO operational diagnostics.
Record‐Breaking Precipitation in Indonesia's Capital of Jakarta in Early January 2020 Linked to the Northerly Surge, Equatorial Waves, and MJO
Authors: Lubis Sandro W. , Hagos Samson , Hermawan Eddy , Respati Muhamad R. , Ridho Ainur , Risyanto  , Paski Jaka A. I. , Muhammad Fadhlil R. , Siswanto  , Ratri Dian Nur , Setiawan Sonny , Permana Donaldi S.
Published: November 2022

A record‐breaking extreme rainfall event, the highest amount recorded since 1866, hit Indonesia's capital, Jakarta, in early January 2020. This torrential rainfall was mainly caused by the convergence of moisture‐rich air due to an unusual blocking of cross‐equatorial northerly surge over Northwest Java by the southerly winds induced by a cyclonic flow over the Indian Ocean. This condition caused a local increase in the amount of water vapor over Jakarta that eventually led to the formation of clouds and heavy precipitation. In addition, the concurrent occurrences of convectively active phases of equatorial waves (Kelvin, TD‐type, and eastward propagating inertia‐gravity waves) and Madden‐Julian Oscillation during the event also partly contributed to the enhanced local moisture over the region by increasing low‐level moisture flux convergence. Together, these large‐scale dynamical drivers provided a convective environment that fostered the development of a massive rain‐producing mesoscale convective system and, consequently, extreme rainfall over the region.
Modeling Carbon Accumulation and Permafrost Dynamics of Northern Peatlands Since the Holocene
Authors: Zhao Bailu , Zhuang Qianlai , Frolking Steve
Published: November 2022

Northern peatlands are a large C stock and often act as a C sink, but are susceptible to climate warming. To understand the role of peatlands in the global carbon‐climate feedback, it is necessary to accurately quantify their C stock changes and decomposition. In this study, a process‐based model, the Peatland Terrestrial Ecosystem Model, is used to simulate pan‐Arctic peatland C dynamics from 15 ka BP to 1990. To improve the accuracy of the simulation, spatially explicit water run‐on and run‐off processes were considered, four different pan‐Arctic peatland extent data sets were used, and a spatially explicit peat basal date data set was developed using a neural network approach. The model was calibrated against 2055 peat thickness observations and the parameters were interpolated to the pan‐Arctic region. Using the model, we estimate that, in 1990, the pan‐Arctic peatlands soil C stock was 396–421 Pg C, and the Holocene average C accumulation rate was 22.9 g C·m−2 yr−1. Our estimated peat permafrost development history generally agrees with multi‐proxy‐based paleo‐climate data sets and core‐derived permafrost areal dynamics. Under Anthropocene warming, in the freeze‐thaw and permafrost‐free regions, the peat C accumulation rate decreased, but it increased in permafrost regions. Our study suggests that if current permafrost regions switch to permafrost‐free conditions in a warming future, the peat C accumulation rate of the entire pan‐Arctic region will decrease, but the sink and source activities of these peatlands are still uncertain.
A silk-based self-adaptive flexible opto-electro neural probe
Authors: Zhou Yu , Gu Chi , Liang Jizhi , Zhang Bohan , Yang Huiran , Zhou Zhitao , Li Meng , Sun Liuyang , Tao Tiger H. , Wei Xiaoling
Published: November 2022

The combination of optogenetics and electrophysiological recording enables high-precision bidirectional interactions between neural interfaces and neural circuits, which provides a promising approach for the study of progressive neurophysiological phenomena. Opto-electrophysiological neural probes with sufficient flexibility and biocompatibility are desirable to match the low mechanical stiffness of brain tissue for chronic reliable performance. However, lack of rigidity poses challenges for the accurate implantation of flexible neural probes with less invasiveness. Herein, we report a hybrid probe (Silk-Optrode) consisting of a silk protein optical fiber and multiple flexible microelectrode arrays. The Silk-Optrode can be accurately inserted into the brain and perform synchronized optogenetic stimulation and multichannel recording in freely behaving animals. Silk plays an important role due to its high transparency, excellent biocompatibility, and mechanical controllability. Through the hydration of the silk optical fiber, the Silk-Optrode probe enables itself to actively adapt to the environment after implantation and reduce its own mechanical stiffness to implant into the brain with high fidelity while maintaining mechanical compliance with the surrounding tissue. The probes with 128 recording channels can detect high-yield well-isolated single units while performing intracranial light stimulation with low optical losses, surpassing previous work of a similar type. Two months of post-surgery results suggested that as-reported Silk-Optrode probes exhibit better implant-neural interfaces with less immunoreactive glial responses and tissue lesions.
A﻿ curated collection of human vaccination response signatures
Authors: Smith Kenneth C. , Chawla Daniel G. , Dhillon Bhavjinder K. , Ji Zhou , Vita Randi , van der Leest Eva C. , Weng Jing Yi Jessica , Tang Ernest , Abid Amani ,   The Human Immunology Project Consortium (HIPC), Peters Bjoern , Hancock Robert E. W. , Floratos Aris , Kleinstein Steven H.
Published: November 2022

Recent advances in high-throughput experiments and systems biology approaches have resulted in hundreds of publications identifying “immune signatures”. Unfortunately, these are often described within text, figures, or tables in a format not amenable to computational processing, thus severely hampering our ability to fully exploit this information. Here we present a data model to represent immune signatures, along with the Human Immunology Project Consortium (HIPC) Dashboard (www.hipc-dashboard.org), a web-enabled application to facilitate signature access and querying. The data model captures the biological response components (e.g., genes, proteins, cell types or metabolites) and metadata describing the context under which the signature was identified using standardized terms from established resources (e.g., HGNC, Protein Ontology, Cell Ontology). We have manually curated a collection of >600 immune signatures from >60 published studies profiling human vaccination responses for the current release. The system will aid in building a broader understanding of the human immune response to stimuli by enabling researchers to easily access and interrogate published immune signatures.
New definitions of human lymphoid and follicular cell entities in lymphatic tissue by machine learning
Authors: Wagner Patrick , Strodthoff Nils , Wurzel Patrick , Marban Arturo , Scharf Sonja , Schäfer Hendrik , Seegerer Philipp , Loth Andreas , Hartmann Sylvia , Klauschen Frederick , Müller Klaus-Robert , Samek Wojciech , Hansmann Martin-Leo
Published: November 2022

Histological sections of the lymphatic system are usually the basis of static (2D) morphological investigations. Here, we performed a dynamic (4D) analysis of human reactive lymphoid tissue using confocal fluorescent laser microscopy in combination with machine learning. Based on tracks for T-cells (CD3), B-cells (CD20), follicular T-helper cells (PD1) and optical flow of follicular dendritic cells (CD35), we put forward the first quantitative analysis of movement-related and morphological parameters within human lymphoid tissue. We identified correlations of follicular dendritic cell movement and the behavior of lymphocytes in the microenvironment. In addition, we investigated the value of movement and/or morphological parameters for a precise definition of cell types (CD clusters). CD-clusters could be determined based on movement and/or morphology. Differentiating between CD3- and CD20 positive cells is most challenging and long term-movement characteristics are indispensable. We propose morphological and movement-related prototypes of cell entities applying machine learning models. Finally, we define beyond CD clusters new subgroups within lymphocyte entities based on long term movement characteristics. In conclusion, we showed that the combination of 4D imaging and machine learning is able to define characteristics of lymphocytes not visible in 2D histology.
Improvement of the combustion, emission, and stability features of diesel-methanol blends using n-decanol as cosolvent
Authors: EL-Seesy Ahmed I. , Waly Mahmoud S. , Nasser Alhassan , El-Zoheiry Radwan M.
Published: November 2022

This research endeavored to boost the applicability of methanol in CI engines utilizing n-decanol as cosolvents. The work was split into binary phases. Firstly, the stabilities of pure methanol (M100) and hydrous-methanol (MH10), with diesel as a reference fuel, were examined applying various temperatures: 10 °C, 20 °C, and 30 °C. The findings showed that the M100-diesel and MH10-diesel combinations were unstable. Thus, n-decanol was utilized as a cosolvent. Following by the engine combustion and emissions characteristics were evaluated by manipulating three proportions of M100-diesel mixtures with n-decanol. Three mixtures comprised of 5, 10, and 15% M100 with 20% n-decanol, which are denoted as M5, M10, and M15, correspondingly. These combinations were assessed via thermogravimetric assessment, and their physicochemical properties were assessed corresponding to the ASTM. The maximum in-cylinder pressure, heat release rate, and pressure rise rate diminished by 10, 11, and 10%, respectively, for the M100/diesel/n-decanol combinations compared with the diesel oil. The brake thermal efficiency lowered by 10%, whereas the brake specific fuel consumption enlarged by 10% for the combinations compared with the diesel. NOx and smoke opacity levels diminished by about 30 and 50%, respectively, whereas the CO and UHC enlarged by about 50 and 60% for the blends compared with the diesel oil.
Galvanic vestibular stimulation down-regulated NMDA receptors in vestibular nucleus of PD model
Authors: Kim Gyutae , Shin Nara , Kim Kyu-Sung
Published: November 2022

Parkinsonian symptoms relief by electrical stimulation is constructed by modulating neural network activity, and Galvanic vestibular stimulation (GVS) is known to affect the neural activity for motor control by activating the vestibular afferents. However, its underlying mechanism is still elusive. Due to the tight link from the peripheral vestibular organ to vestibular nucleus (VN), the effect by GVS was investigated to understand the neural mechanism. Using Sprague Dawley (SD) rats, behavioral response, extracellular neural recording, and immunohistochemistry in VN were conducted before and after the construction of Parkinson’s disease (PD) model. Animals’ locomotion was tested using rota-rod, and single extracellular neuronal activity was recorded in VN. The immunohistochemistry detected AMPA and NMDA receptors in VN to assess the effects by different amounts of electrical charge (0.018, 0.09, and 0.18 coulombs) as well as normal and PD with no GVS. All PD models showed the motor impairment, and the loss of TH+ neurons in medial forebrain bundle (mfb) and striatum was observed. Sixty-five neuronal extracellular activities (32 canal & 33 otolith) were recorded, but no significant difference in the resting firing rates and the kinetic responding gain were found in the PD models. On the other hand, the numbers of AMPA and NMDA receptors increased after the construction of PD model, and the effect by GVS was significantly evident in the change of NMDA receptors (p < 0.018). In conclusion, the increased glutamate receptors in PD models were down-regulated by GVS, and the plastic modulation mainly occurred through NMDA receptor in VN.
Order recognition by Schubert polynomials generated by optical near-field statistics via nanometre-scale photochromism
Authors: Uchiyama Kazuharu , Nakajima Sota , Suzui Hirotsugu , Chauvet Nicolas , Saigo Hayato , Horisaki Ryoichi , Uchida Kingo , Naruse Makoto , Hori Hirokazu
Published: November 2022

Irregular spatial distribution of photon transmission through a photochromic crystal photoisomerized by a local optical near-field excitation was previously reported, which manifested complex branching processes via the interplay of material deformation and near-field photon transfer therein. Furthermore, by combining such naturally constructed complex photon transmission with a simple photon detection protocol, Schubert polynomials, the foundation of versatile permutation operations in mathematics, have been generated. In this study, we demonstrated an order recognition algorithm inspired by Schubert calculus using optical near-field statistics via nanometre-scale photochromism. More specifically, by utilizing Schubert polynomials generated via optical near-field patterns, we showed that the order of slot machines with initially unknown reward probability was successfully recognized. We emphasized that, unlike conventional algorithms, the proposed principle does not estimate the reward probabilities but exploits the inversion relations contained in the Schubert polynomials. To quantitatively evaluate the impact of Schubert polynomials generated from an optical near-field pattern, order recognition performances were compared with uniformly distributed and spatially strongly skewed probability distributions, where the optical near-field pattern outperformed the others. We found that the number of singularities contained in Schubert polynomials and that of the given problem or considered environment exhibited a clear correspondence, indicating that superior order recognition is attained when the singularity of the given situations is presupposed. This study paves way for physical computing through the interplay of complex natural processes and mathematical insights gained by Schubert calculus.
A low-frequency multiple-band sound insulator without blocking ventilation along a pipe
Authors: Zhou Zi-jian , Ao Wei , Fan Li , Zhang Shu-yi , Cheng Li-ping , Xu Xiao-dong , Zhao Jin-yu , Zhang Hui
Published: November 2022

It is challenging to insulate sound transmission in low frequency-bands without blocking the air flow in a pipe. In this work, a small and light membrane-based cubic sound insulator is created to block acoustic waves in multiple low frequency-bands from 200 to 800 Hz in pipes. Due to distinct vibration modes of the membrane-type faces of the insulator and co-action of acoustic waves transmitting along different paths, large sound attenuation is achieved in multiple frequency-bands, and the maximum transmission loss reaches 25 dB. Furthermore, because the sound insulator with a deep subwavelength size is smaller than the cross-sectional area of the pipe, it does not block ventilation along the pipe.
Bifocal flat lens with different imaging characteristics for a dual-sensor imaging system
Authors: Zhou Yin , Kuang Feng-Lin , Li Rui , Li Lei
Published: November 2022

Wide field of view (FOV) images and magnified images can be taken simultaneously by dual-sensor imaging systems. Here, we propose an approach for creating a bifocal flat lens with different imaging characteristics of its two foci, which makes dual-sensor imaging systems more integrated and miniaturized. That is, two special parts of two different conventional ZP are extracted and then combine the two elements in a specific way. So that there are two foci with different characteristics along the optical axis, one is long focus with higher resolution, the other is short focus with long depth of focus (DOF). Under the proposed approach, a thin and light bifocal diffractive lens (BDL) with thickness of 0.6 μm is developed. The long and short focal lengths of the BDL are ~ 81 mm and ~ 27 mm, respectively, with a diameter of 6 mm. We experimentally demonstrate that the long focus of the BDL is capable of taking high-resolution magnified images, and its resolution is up to 21.90″. The short focus is able to take wide FOV with long DOF images, and two objects spread 2880 mm apart can be imaged clearly. The experiment results demonstrate that all of these metrics are better than those of a conventional refractive lens.
Correlation between brain functional connectivity and neurocognitive function in patients with left frontal glioma
Authors: Ueda Masaya , Usami Kiyohide , Yamao Yukihiro , Yamawaki Rie , Umaba Chinatsu , Liang Nan , Nankaku Manabu , Mineharu Yohei , Honda Masayuki , Hitomi Takefumi , Ikeguchi Ryosuke , Ikeda Akio , Miyamoto Susumu , Matsuda Shuichi , Arakawa Yoshiki
Published: November 2022

The association between neurocognitive function (NCF) impairment and brain cortical functional connectivity in glioma patients remains unclear. The correlations between brain oscillatory activity or functional connectivity and NCF measured by the Wechsler Adult Intelligence Scale full-scale intelligence quotient scores (WAIS FSIQ), the Wechsler Memory Scale-revised general memory scores (WMS-R GM), and the Western aphasia battery aphasia quotient scores (WAB AQ) were evaluated in 18 patients with left frontal glioma using resting-state electroencephalography (EEG). Current source density (CSD) and lagged phase synchronization (LPS) were analyzed using exact low-resolution electromagnetic tomography (eLORETA). Although 2 and 2 patients scored in the borderline range of WAIS FSIQ and WMS-R GM, respectively, the mean WAIS FSIQ, WMS-R GM, and WAB AQ values of all patients were within normal limits, and none had aphasia. In the correlation analysis, lower WMS-R GM was associated with a higher LPS value between the right anterior prefrontal cortex and the left superior parietal lobule in the beta1 band (13–20 Hz, R = − 0.802, P = 0.012). These findings suggest that LPS evaluated by scalp EEG is associated with memory function in patients with left frontal glioma and mild NCF disorders.
Two independent variants of epidermal growth factor receptor associated with risk of glioma in a Korean population
Authors: Baek In Ki , Cheong Hyun Sub , Namgoong Seok , Kim Jeong-Hyun , Kang Seok-Gu , Yoon Seon-Jin , Kim Se Hoon , Chang Jong Hee , Kim Lyoung Hyo , Shin Hyoung Doo
Published: November 2022

Gliomas are the most common primary tumors in the brain and spinal cord. In previous GWASs, SNPs in epidermal growth factor receptor (EGFR) have been reported as risk loci for gliomas. However, EGFR variants associated with gliomas in the Korean population remain unstudied. This study explored the association of EGFR SNPs with the risk of glioma. We genotyped 13 EGFR exon SNPs in a case–control study that included 324 Korean patients diagnosed with glioma and 480 population-based controls. Statistical analyses of the association between EGFR SNPs and glioma risk were conducted using logistic regression. Both stepwise analysis and conditional logistic analysis were performed to identify independent associations among genotyped variants. We confirmed that two SNPs (rs2227983, rs1050171) were significantly associated with glioma (rs2227983: odds ratio = 1.42, Pcorr = 0.009; rs1050171: odds ratio = 1.68, Pcorr = 0.005). Additionally, the stepwise analysis and conditional logistic analysis indicated that both SNPs created variants with independent genetic effects. This study is the first to show evidence that functional variants of EGFR, namely, rs2227983 (K521R) and rs1050171 (Q787Q), are associated with an increased risk of glioma in the Korean population. Future work should confirm the functional association between EGFR variants and glioma.
Predictive model for the preoperative assessment and prognostic modeling of lymph node metastasis in endometrial cancer
Authors: Asami Yuka , Hiranuma Kengo , Takayanagi Daisuke , Matsuda Maiko , Shimada Yoko , Kato Mayumi Kobayashi , Kuno Ikumi , Murakami Naoya , Komatsu Masaaki , Hamamoto Ryuji , Kohno Takashi , Sekizawa Akihiko , Matsumoto Koji , Kato Tomoyasu , Yoshida Hiroshi , Shiraishi Kouya
Published: November 2022

Lymph node metastasis (LNM) is a well-established prognostic factor in endometrial cancer (EC). We aimed to construct a model that predicts LNM and prognosis using preoperative factors such as myometrial invasion (MI), enlarged lymph nodes (LNs), histological grade determined by endometrial biopsy, and serum cancer antigen 125 (CA125) level using two independent cohorts consisting of 254 EC patients. The area under the receiver operating characteristic curve (AUC) of the constructed model was 0.80 regardless of the machine learning techniques. Enlarged LNs and higher serum CA125 levels were more significant in patients with low-grade EC (LGEC) and LNM than in patients without LNM, whereas deep MI and higher CA125 levels were more significant in patients with high-grade EC (HGEC) and LNM than in patients without LNM. The predictive performance of LNM in the HGEC group was higher than that in the LGEC group (AUC = 0.84 and 0.75, respectively). Patients in the group without postoperative pathological LNM and positive LNM prediction had significantly worse relapse-free and overall survival than patients with negative LNM prediction (log-rank test, P < 0.01). This study showed that preoperative clinicopathological factors can predict LNM with high precision and detect patients with poor prognoses. Furthermore, clinicopathological factors associated with LNM were different between HGEC and LGEC patients.
The vaccination rift effect provides evidence that source vaccination status determines the rejection of calls to get vaccinated
Authors: Thürmer J. Lukas , McCrea Sean M.
Published: November 2022

COVID vaccination protects individuals and helps end the pandemic, but a sizable minority in Western countries rejects the vaccine. Vaccination status should serve as a group membership, critical communication between groups undermines trust, and we accordingly suggest that calls to get vaccinated by vaccinated sources lead to defensive rejection instead of desired behavior change. We term this the vaccination rift effect. A unique collaboration with national print, online and TV news media yielded a large (N = 1170), age-representative sample of Austrian citizens for our fully randomized experiment. Participants exhibited the vaccination rift: They ascribed less constructive motives, d = 0.28, 95% CI [0.17; 0.40], experienced more threat, d = − 0.30, 95% CI [− 0.42; − 0.19], and ascribed worse personality characteristics to vaccinated (vs. unvaccinated) commenters, d = 0.17, 95% CI [0.06; 0.29]. Constructiveness consistently predicted behavioral measures of counterarguing and vaccination planning (indirect effects B = 0.033, SE = 0.013 and B = − 0.056, SE = 0.014). The vaccination rift was substantially stronger among the critical group of unvaccinated participants, ds = |0.39–0.52|, than among those fully vaccinated, ds = |0.08–0.17|. We discuss how to apply these psychological mechanics of the vaccination rift to public campaigns.
Antibody-dependent cellular cytotoxicity-null effector developed using mammalian and plant GlycoDelete platform
Authors: Kang Cho Eun , Lee Seungeun , Ahn Taeyoung , Seo Dong Hye , Ko Byoung Joon , Jung Minkyu , Lee Jinu , Kim Joo Young , Kim Woo Taek
Published: November 2022

Cancer therapy using immune checkpoint inhibitor antibodies has markedly shifted the paradigm of cancer treatment. However, methods completely eliminating the effector function of these signal-regulating antibodies is urgently required. The heterogeneity of glycan chains in antibodies limits their use as therapeutic agents due to their variability; thus, the development of uniform glycan chains is necessary. Here, we subjected the anti-programmed cell death protein (PD)-1 antibody nivolumab, a representative immune checkpoint inhibitor, to GlycoDelete (GD) engineering to remove the antibody-dependent cellular cytotoxicity (ADCC) of the antibody, leaving only one glycan in the Fc. Glyco-engineered CHO cells were prepared by overexpressing endo-β-N-acetyl-glucosaminidase (Endo T) in CHO cells, in which N-acetyl-glucosaminyl-transferase I was knocked out using Cas9. GD IgG1 nivolumab and GD IgG4 nivolumab were produced using GD CHO cells, and glycan removal was confirmed using mass spectrometry. Target binding and PD-1 inhibition was not altered; however, ADCC decreased. Furthermore, the IgG4 form, determined to be the most suitable form of GD nivolumab, was produced in a plant GD system. The plant GD nivolumab also reduced ADCC without affecting PD-1 inhibitory function. Thus, CHO and plant GD platforms can be used to improve signal-regulating antibodies by reducing their effector function.
Pre-transplant platelet-to- lymphocyte ratio predicts outcome after allogeneic hematopoietic stem cell transplantation
Authors: Woelfinger P. , Hauptrock B. , Kriege O. , List A. , Schmitt T. , Kuchen R. , Theobald M. , Wagner-Drouet E. M.
Published: November 2022

For many patients with hematological malignancies such as acute leukemia or myelodysplastic syndrome allogeneic hematopoietic stem cell transplantation (allogeneic HSCT) is the only curative treatment option. Despite the curative potential of this treatment many patients experience relapse of their underlying disease or die due to multiple complications e.g. infections. Risk scores could help to assess the individual prognosis and guide patients and treating physicians to choose between different treatment options. Parameters reflecting the inflammatory status, such as neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR), have been demonstrated to be associated with prognosis and treatment complications in patients with various cancers. In this study, we evaluate pre-HSCT NLR, MLR and PLR as predictive markers in patients undergoing allogeneic HSCT. We demonstrate that a high (> 133) PLR level is associated with better clinical outcome. Patients with high pre-HSCT PLR show a significant better overall survival (p = 0.001), less relapses (p = 0.016), lower non-relapse-mortality (p = 0.022), less transfusions of red blood cells, platelets and fresh frozen plasma (p = 0.000), fewer episodes of fever (p = 0.002), considerably less different antibiotics (p = 0.005), fewer intensive care unit treatment (p = 0.017) and a lower in-hospital mortality (p = 0.024). Pre-HSCT PLR is easy to calculate by daily routine and could help to predict patient outcome after allogeneic HSCT.
Significance of Brinkman and Stokes system conjuncture in human knee joint
Authors: Al-Atawi Nawal Odah , Hasnain Shahid , Saqib Muhammad , Mashat Daoud S.
Published: November 2022

Stokes’s equation in the fluid domain and Brinkman’s equation in the porous media are combined in the current study which is designated by the Stokes-Brinkman coupling. The current paper gives a theoretical analysis of the Stokes-Brinkman coupling. It has been shown that such a model is a good match for the knee joint. A flow model has been investigated in order to get a better understanding of the convective diffusion of the viscous flow along the articular surfaces between the joints. The Beavers and Joseph slip conditions which are a specific boundary condition for the synovial fluid are used to solve the governing system of partial differential equations for the synovial fluid and the results are provided here. We develop formulas for the interfacial velocity for both flow through special slip condition and analyse the link between the slip parameters $$\alpha $$
α
and $$\beta $$
β
. Thus, the damping force due to the porous medium naturally when we non-dimensionalize, some parameter which are controlling the structure like, $$\beta $$
β
and $$\alpha $$
α
. Through the development of an analytical solution and numerical simulation (using the finite volume approach) it is hoped that the mechanisms of nutritional transport into the synovial joint will be better understood. According to the data the average concentration has a negative connection with both the axial distance and the duration spent in the experiment. Many graphs have been utilized to gain understanding into the problem’s various characteristics including velocity and concentration, among others. Hyaluronate (HA) is considered to be present in porous cartilage surfaces and the viscosity of synovial fluid fluctuates in response to the amount of HA present.
Competition between electrostatic interactions and halogen bonding in the protein–ligand system: structural and thermodynamic studies of 5,6-dibromobenzotriazole-hCK2α complexes
Authors: Winiewska-Szajewska Maria , Czapinska Honorata , Kaus-Drobek Magdalena , Fricke Anna , Mieczkowska Kinga , Dadlez Michał , Bochtler Matthias , Poznański Jarosław
Published: November 2022

CK2 is a member of the CMGC group of eukaryotic protein kinases and a cancer drug target. It can be efficiently inhibited by halogenated benzotriazoles and benzimidazoles. Depending on the scaffold, substitution pattern, and pH, these compounds are either neutral or anionic. Their binding poses are dictated by a hydrophobic effect (desolvation) and a tug of war between a salt bridge/hydrogen bond (to K68) and halogen bonding (to E114 and V116 backbone oxygens). Here, we test the idea that binding poses might be controllable by pH for ligands with near-neutral pKa, using the conditionally anionic 5,6-DBBt and constitutively anionic TBBt as our models. We characterize the binding by low-volume Differential Scanning Fluorimetry (nanoDSF), Isothermal Calorimetry (ITC), Hydrogen/Deuterium eXchange (HDX), and X-ray crystallography (MX). The data indicate that the ligand pose away from the hinge dominates for the entire tested pH range (5.5–8.5). The insensitivity of the binding mode to pH is attributed to the perturbation of ligand pKa upon binding that keeps it anionic in the ligand binding pocket at all tested pH values. However, a minor population of the ligand, detectable only by HDX, shifts towards the hinge in acidic conditions. Our findings demonstrate that electrostatic (ionic) interactions predominate over halogen bonding.