bluuebunny/crossref_metadata_2025 huggingface dataset:
Conflict hypergraphs to define new families of facets for the independence system polytope
Authors: Boughani Chafia , Aïder Méziane
Published: February 2023

In this paper, we develop a technique for exact simultaneous upliftings of circuit inequalities of an independence system polytope. The resulting inequalities define new families of valid inequalities for this polytope. They are obtained by simultaneously adding the most appropriate set of variables with the highest possible values of the lifting coefficient that maintain the validity. More specifically, in this technique, we introduce a procedure to generate two conflict hypergraph structures types: hypertrees and clutter. In this setting, we use the hyperedges cardinalities of these structures to compute the suitable lifting coefficient values. We then give necessary and sufficient conditions for both the circuit inequalities and the new families of valid inequalities to be facet-defining. We also give a condition of the positivity of the lifted circuit inequality coefficient values.
Stationäre und ambulante Heilverfahren der Deutschen
Gesetzlichen Unfallversicherung
Authors: Reimertz Christoph , Benner Sebastian , Hoffmann Reinhard
Published: February 2023

Ein Ziel der Deutschen Gesetzlichen Unfallversicherung (DGUV) ist es, die
Gesundheit und damit auch die Leistungsfähigkeit ihrer Versicherten nach
einem Unfall „mit allen geeigneten Mitteln“ wiederherzustellen.
Hierbei unterscheiden sich die Rehabilitationsmöglichkeiten aufgrund des
gesetzlichen Auftrags wesentlich von denen der Kranken- bzw. Rentenversicherung.
Dieser Beitrag gibt einen Überblick, welche Heilverfahren nach
Arbeitsunfällen zur Verfügung stehen und in welcher Phase der
Rehabilitation sie zur Anwendung kommen.
Patienten-Online-Training zur Peritonealdialyse in häuslicher Umgebung während der COVID-19-Pandemie
Authors: Mikut Cornelia , Kitsche Benno
Published: February 2023

Die Peritonealdialyse (PD) ist als Heimdialyseverfahren in kurzer Zeit erlernbar. Standardisierte Trainingsprozesse unterstützen dabei das medizinische Team in Organisation und Ablauf. Den Patienten und ihren Angehörigen geben sie Sicherheit. Ein entspanntes und ausgiebiges Patiententraining ohne Zeitdruck ist durch den Fachkräftemangel und die verdichtete Arbeitszeit jedoch kaum noch möglich. Es stellt sich daher die Frage, ob die heutige Technik eine Alternative bietet. Erste Ergebnisse zur Anwendung von Virtual Reality (VR) sind bereits in der Literatur beschrieben worden. Die VR-Brille wird dabei in das Patiententraining integriert, dennoch findet das Training innerhalb eines Zentrums oder zu Hause in Begleitung einer Trainingsfachperson statt. Ist es möglich, eine solche Schulung über große Entfernung auf Online-Plattformen wie Microsoft Teams oder Zoom sicher und nachhaltig durchzuführen? Die Qualifizierung von Fachkräften im Umgang mit solchen Möglichkeiten konnte bereits erprobt werden 1. In enger Zusammenarbeit mit dem KfH-Nierenzentrum Bad Nauheim (KfH: Kuratorium für Dialyse und Nierentransplantation e. V.) wurde dieses Verfahren geprüft und umgesetzt. Dieser Artikel gibt einen Überblick über die Grundlagen der Erwachsenenbildung, beschreibt die Herangehensweise an das Online-Training und schließt mit einem Fazit und Ausblick.
Das Hämodialysegerät „Drake-Willock“
Authors: Brunner Jürgen
Published: February 2023

Ende der 1960er-Jahre kam in Amerika ein sehr kompaktes Dialysegerät auf den Markt (
Abb. 1
).
Action of Folliculinum 6cH on Folliculogenesis in the Snake Python Regius (Shaw, 1802) – Two Case Reports
Authors: Balbueno Melina Castilho de Souza , Martins Jéssica Amâncio , Coelho Cidéli de Paula
Published: February 2023

Background Folliculinum is a homeopathic sarcode medication that is mainly used for regulating the estrous cycle and reproductive function. In snakes, it is common to observe low frequencies of reproduction. Ovulation is related to follicular size and morphology, and follicle homogeneity may indicate the absence of problems such as dystocia (egg retention) or follicular stasis.

Objective The objective of the present study was to report on follicular stage changes in two ball pythons, Python regius (Shaw, 1802), which were treated using Folliculinum 6cH in a zoological park setting.

Methods Two female pythons – one weighing 2.8 kg, the other weighing 2.5 kg, and neither with a history of reproduction – were examined by ultrasound to enable viewing of ovarian follicles in different phases and sizes. Folliculinum 6cH, two globules diluted in 200 mL of water, was administered, targeted to the eyes and nostril regions.

Results Even given the slow metabolism of reptiles, ultrasound revealed an improvement in follicle homogeneity between 6 and 15 days after the start of homeopathy in both snakes; there was also improved weight gain in both animals. The MOdified NARanjo Criteria for Homeopathy (MONARCH) score was +8 in each of the cases, suggesting a causal relationship between the use of homeopathic medicine and clinical outcome.

Conclusion Folliculinum 6cH may have promoted stabilization of follicle size and enabled folliculogenesis in two ball pythons.
Historical Perspectives: Malignancy in Crohn's Disease and Ulcerative Colitis
Authors: Williams Hannah , Steinhagen Randolph M.
Published: February 2023

While both Crohn' disease (CD) and ulcerative colitis (UC) are known to predispose patients to certain intestinal malignancies, the exact mechanism of carcinogenesis remains unknown and optimal screening guidelines have not been established. This article will explore the history of our understanding of intestinal malignancy in inflammatory bowel disease (IBD). To contextualize the medical community's difficulty in linking each condition to cancer, the first section will review the discovery of CD and UC. Next, we discuss early attempts to define IBD's relationship with small bowel adenocarcinoma and colorectal cancer. The article concludes with a review of each disease's surgical history and the ways in which certain procedures produced poor oncologic outcomes.
Determining the driving radiation flux on capsule in Hohlraum for indirect drive inertial confinement fusion
Authors: Huo Wen Yi , Chen Yao-Hua , Cao Hui , Ren Guoli , Li Kai , Lan Ke
Published: February 2023

In 2021, the fusion yield of 1.35 MJ was produced at NIF by using indirect drive inertial confinement fusion (ICF), indicating that indirect drive ICF has reached ignition. However, the driving radiation flux on capsule inside Hohlraums is still a puzzle in indirect drive ICF studies. The energy deficit at NIF is still neither well understood nor solved. In this paper, we proposed a scheme to determine the driving radiation flux on the capsule by using the combination of the shock wave technique and the reemitted radiation flux measurement. In this scheme, a witness sample is placed in the Hohlraum center as the surrogate of the capsule. The shock velocity in the witness sample is measured by a streaked optical pyrometer from one side, and the temporal reemitted radiation flux is measured by a space-resolved flat response x-ray detector. Then, the peak of the radiation flux is determined by the shock velocity, and the time behavior of the radiation flux is determined by the reemitted flux through the numerical simulation of radiation hydrodynamic code. The rules for designing the witness sample and an example of applying this scheme to determine the driving radiation flux on capsule inside the octahedral spherical Hohlraum are presented in detail.
Role of hot electrons in mitigating ablative Rayleigh–Taylor instability
Authors: Li Jun , Yan Rui , Zhao Bin , Zheng Jian , Zhang Huasen , Lu Xiyun
Published: February 2023

In laser-driven inertial confinement fusion (ICF) specifically with high laser intensities, energetic (hot) electrons (HEs) can be generated via laser-plasma instabilities. HEs can significantly impact the target performance by modifying the implosion hydrodynamics. In this paper, the effects of moderate-energy (about 20 to 40 keV) HEs on the evolution of two-dimensional single-mode ablative Rayleigh–Taylor instability (ARTI) are studied through numerical simulations with a multigroup diffusion model in which the HE population is treated as a high-energy group launched from the boundary. With HEs present, it is found that ARTI linear growth rates are reduced even though the acceleration of the implosion shell is enhanced by HEs. The reduction in the linear growth rate is owing to the increase in the ablation velocity and the density scale length, and this stabilization effect is greater in the shorter-wavelength modes and/or higher-energy HE cases. The ARTI linear growth does not get mitigated monotonically as the HE number density increases for a given fixed HE kinetic energy. The HE number density minimizing the ARTI growth rate is found, likely due to the competition of the stabilizing and destabilizing hydrodynamic-parameter variations caused by HEs.
Experimental and numerical study on operational characteristics of a single outlet siphonic drainage system in large public buildings
Authors: Bi Yunfeng , Bi Haiquan , Wang Honglin , Zhou Yuanlong , Wan Ruiqi , Xie Yongliang
Published: February 2023

For large public buildings, a siphon drainage system facilitates good on building safety and operation. However, conventional siphon drainage systems are designed based on full pipe flow, which is suitable only under specific criteria and cannot assess the detailed flow characteristics from priming to the entire siphon formation process. In this paper, a full-size experimental platform for a single outlet siphon drainage system is proposed to research the flow characteristics of the siphon drainage. Then, a full-scale numerical model of a siphon drainage system is established and the process of the siphon drainage is simulated by the volume of fluid model. The accuracy of the numerical model is verified by comparing its results with the experimental data. Moreover, a sensitivity analysis of different pipeline structure parameters on siphon priming time is presented, which shows that a larger length and diameter of the suspension pipe and a larger riser pipe diameter prolong the siphon formation time. Finally, theoretical formulas are derived to describe the mathematical relationships between the suspension pipe length and maximum displacement and the suspension pipe length and siphon priming time.
Improved capacitive energy storage in sodium niobate-based relaxor antiferroelectric ceramics
Authors: Pan Tianze , Zhang Ji , Che Dongxiao , Wang Zhengyu , Wang Jiajia , Wang Jing , Wang Yaojin
Published: February 2023

Ceramic-based dielectric capacitors have become an attractive issue due to their wide applications in current pulsed-/high-power electronic devices. Antiferroelectric ceramics generally exhibit ultrahigh energy density owing to their giant polarization activated by antiferroelectric–ferroelectric phase transition under a high electric field but suffer from large hysteresis, meanwhile giving rise to low efficiency. Herein, by introducing perovskite compound Sr(Fe0.5Ta0.5)O3 into an antiferroelectric NaNbO3 matrix, a stabilized antiferroelectric phase and an improved relaxor behavior are observed. That is, relaxor antiferroelectric ceramics are constructed. Accordingly, a double polarization–electric field (P–E) loop becomes slimmer with increasing incorporation of dopants, leading to an ultrahigh recoverable energy density of 11.5 J/cm3, an energy storage efficiency of 86.2%, outstanding frequency/cycling/thermal reliability, and charge–discharge properties in 0.90NaNbO3-0.10Sr(Fe0.5Ta0.5)O3 ceramics. This work reveals that inducing the relaxor behavior in antiferroelectric materials is an effective route to improve their capacitive energy storage.
Effects of impurities on the cooling of photoexcited carriers in La1−xSrxCoO3−δ: A DFT and nonadiabatic molecular dynamics study
Authors: Bian Fang , Wu XinGe , Shao Shuai , Meng XiangYing , Qin GaoWu
Published: February 2023

Photo-carrier relaxation in semiconductors determines their photon-conversion efficiency. Impurities have been proven to play an essential role in improving the efficiency and stability of perovskites. We studied the effects of Sr-doping and O-vacancies on the electronic band structure and photoexcited carrier cooling of perovskite-type LaCoO3 using density functional theory and nonadiabatic molecular dynamics methods. We found that the substitution of Sr2+ for La3+ in LaCoO3 leads to a semiconductor–metal transition, while a stoichiometric oxygen vacancy restores semiconductor properties in La1−xSrxCoO3−δ (δ = x/6). In addition, the oxygen vacancy basically changes the electronic band structures, and for visible light with low oxygen vacancy intensity, the photo-electron cooling can be reduced fourfold relative to that of pure LaCoO3. We clarify the functions of impurities, Sr-dopants, and O-vacancies in LaCoO3 and find that the average coupling strength between carriers (electrons/holes) and phonons can be used as a descriptor to characterize carrier relaxation, which is of great value for the further development of practical photo-conversion based on perovskites.
An improved hybrid quantum-classical convolutional neural network for multi-class brain tumor MRI classification
Authors: Dong Yumin , Fu Yanying , Liu Hengrui , Che Xuanxuan , Sun Lina , Luo Yi
Published: February 2023

The efficiency of quantum computing has recently been extended to machine learning, which has made a significant impact on quantum machine learning. The hybrid structure of quantum and classical ones has developed into the most successful application mode currently due to noisy intermediate scale quantum limitations. In this paper, an improved hybrid quantum-classic convolutional neural network (HQC-CNN) with fast training speed, lightweight, and high performance is proposed. Its convolution layer realizes feature mapping through parameterized quantum circuit, while other layers keep classic operation and finally complete the task of four classifications of brain tumors. The experiment in this paper is based on kaggle brain tumor magnetic resonance imaging public dataset. The final experimental results show that HQC-CNN can effectively classify meningioma, glioma, pituitary, and no tumor with a classification accuracy of 97.8%. When compared to numerous well-known landmark models, HQC-CNN has obvious advantages.
Electroluminescence of negatively charged single NV centers in diamond
Authors: Haruyama M. , Kato H. , Ogura M. , Kato Y. , Takeuchi D. , Yamasaki S. , Iwasaki T. , Morishita H. , Fujiwara M. , Mizuochi N. , Makino T.
Published: February 2023

The realization of electroluminescence (EL) of negatively charged nitrogen vacancy (NV−) centers is important toward all-electrical control of diamond quantum devices. In this study, we demonstrated electrical excitation and detection of EL of single NV− centers by using lateral diamond p+–i(n−)–n+ diodes. It had been grown by homoepitaxy using the plasma enhanced chemical vapor deposition technique. We introduced a lightly phosphorus doped i(n−) layer to stabilize the negative state of NV centers. It was estimated that the efficiency of the electrical excitation rate of the NV center was more than 30 times enhanced by introducing lateral diamond p+–i(n−)–n+ diodes structure compared with the previous vertical diode. Furthermore, the EL of a single NV− center embedded in the i(n−) layer region was characterized. The results show that the charge state of the single NV centers can be manipulated by the voltage applied to the p+–i(n−)–n+ diode, where the emission of EL is increasingly dominated by NV− in the range of 30 to 50 V.
Nucleation-mediated reshaping of facetted metallic nanocrystals: Breakdown of the classical free energy picture
Authors: Lai King C. , Liu Da-Jiang , Evans James W.
Published: February 2023

Shape stability is key to avoiding degradation of performance for metallic nanocrystals synthesized with facetted non-equilibrium shapes to optimize properties for catalysis, plasmonics, and so on. Reshaping of facetted nanocrystals is controlled by the surface diffusion-mediated nucleation and growth of new outer layers of atoms. Kinetic Monte Carlo (KMC) simulation of a realistic stochastic atomistic-level model is applied to precisely track the reshaping of Pd octahedra and nanocubes. Unexpectedly, separate constrained equilibrium Monte Carlo analysis of the free energy profile during reshaping reveals a fundamental failure of the classical nucleation theory (CNT) prediction for the reshaping barrier and rate. Why? Nucleation barriers can be relatively low for these processes, so the system is not locally equilibrated before crossing the barrier, as assumed in CNT. This claim is supported by an analysis of a first-passage problem for reshaping within a master equation framework for the model that reasonably captures the behavior in KMC simulations.
Biphasic action potential and chaos in a symmetrical Chua Corsage Memristor-based circuit
Authors: Jin Peipei , Wang Guangyi , Chen Long
Published: February 2023

Neuromorphic computing provides unique computing and memory capabilities that could break the limitation of conventional von Neumann computing. Toward realizing neuromorphic computing, fabrication and synthetization of hardware elements and circuits to emulate biological neurons are crucial. Despite the striking progress in exploring neuron circuits, the existing circuits can only reproduce monophasic action potentials, and no studies report on circuits that could emulate biphasic action potentials, limiting the development of neuromorphic devices. Here, we present a simple third-order memristive circuit built with a classical symmetrical Chua Corsage Memristor (SCCM) to accurately emulate biological neurons and show that the circuit can reproduce monophasic action potentials, biphasic action potentials, and chaos. Applying the edge of chaos criterion, we calculate that the SCCM and the proposed circuit have the symmetrical edge of chaos domains with respect to the origin, which plays an important role in generating biphasic action potentials. Also, we draw a parameter classification map of the proposed circuit, showing the edge of chaos domain (EOCD), the locally active domain, and the locally passive domain. Near the calculated EOCD, the third-order circuit generates monophasic action potentials, biphasic action potentials, chaos, and ten types of symmetrical bi-directional neuromorphic phenomena by only tuning the input voltage, showing a resemblance to biological neurons. Finally, a physical SCCM circuit and some experimentally measured neuromorphic waveforms are exhibited. The experimental results agree with the numerical simulations, verifying that the proposed circuit is suitable as artificial neurons.
Temperature measurement utilizing the vibrational CARS signal from the ground level X2Σg+ of N2+ in high-temperature flames
Authors: Tian Ziyang , Zhao Huijie , Gao Yiqian , Wei Haoyun , Tan Yidong , Li Yan
Published: February 2023

We analyze the generation of the vibrational coherent anti-Stokes Raman scattering (CARS) signal from the ground level X2Σg+ of N2+ and demonstrate the feasibility for gas-phase thermometry utilizing the vibrational CARS signals of N2+ in high-temperature flames. The vibrational CARS signal of N2+ is obtained using the filamentation-based and two-beam hybrid femtosecond/picosecond CARS system and is employed to extract the fitting temperatures in high-temperature flames. The accuracy and precision of the fitting temperatures from the 1000 consecutive single-shot vibrational CARS spectra of N2+ at a target temperature of 1706 K are 1.23% and 5.76%, respectively, which are similar to the fitting results of N2 in previous filamentation-based CARS thermometry and could also demonstrate that the measured temperature in the filamentation is indeed not affected by the ionization. We further introduce the CARS signal of N2+ in multiple species measurement to obtain more details about the CARS process during filamentation. This work would provide an optional target molecule for CARS thermometry and help researchers further understand the molecular dynamics of N2+ ions during the filamentation.
High-sensitivity gradient porous ionic polymer pressure sensor in charge-sensing mode
Authors: Cai Zirui , Li Yiming , Fan Peng , Hu Qiao , Zhu Zicai
Published: February 2023

Ionic polymers are composite materials consisting of polymer networks, solvents, and mobile ions, which can generate an electrical potential under external pressure. Existing research works have focused on enhancing the voltage response of the ionic polymer sensors, but it is usually difficult to exceed 100 mV. For the low impedance resulting from ionic conductivity properties and easy charge migration distribution, they may have high charge sensitivity. This Letter proposed an ionic polymer-based network of pressure sensors with gradient porous sensing structure, which is easily and quickly constructed, that has high sensitivity in the charge-sensing mode. The gradient porous structure is prepared layer by layer using NaCl as the porogen particles. The experimental results show that the gradient porous structure has exceptionally high charge sensitivity, reaching 5629 and 2147 pC/N in the range of 0–0.5 and 0.5–2.5 N, respectively, which is significantly better than those of the planar and surface micro-pyramid structures. Stress analysis is also carried out, and the simulation results show that the stress dramatically changes with the gradient of porosity, which significantly promotes the migration of cations and reveals the ultra-high charge response of this structure. The results can provide guidance for the design of the high-sensitivity ionic polymer pressure sensor.
Decomposition of mechanical stress effect on the magnetic property of silicon steel sheet
Authors: Shimizu H. , Marumo Y. , Mishima Y. , Matsuo T.
Published: February 2023

A principal stress decomposition method was examined and compared with the equivalent stress theory to evaluate the stress-dependent magnetic properties of nonoriented silicon steel. A physical magnetization model, the multidomain particle model, was used to simulate the stress dependence of the magnetic properties by applying mechanical stress in different directions relative to the magnetic field direction. Experimental and computational tests show that even though the principal stress decomposition method provides a reasonable evaluation of the stress-dependent properties in the stress direction, it fails to accurately predict the properties in the perpendicular direction. To improve the prediction accuracy, a modified decomposition method is proposed, which gives a reasonable evaluation of the stress dependence of BH loops, permeability and hysteresis loss even when the magnetization direction is different from the stress direction.
Study of magnetic properties of electrical steels with different Si content considering the effect of temperature
Authors: Ma Deji , Sun Chao , Li Yulin , Tian Baozhi , Wang Lihui , Pei Ruilin
Published: February 2023

Electrical steel cores in electric motors are often operated under variable temperature conditions, and the temperature has a large impact on the magnetic properties of electrical steel. Different Silicon content also makes electrical steel have different performance characteristics. Therefore, in this paper, an environmentally adjustable electrical steel magnetic property testing system is built to investigate the magnetic property variation of non-oriented electrical steel sheets with different Si contents at different temperatures. Through the experiments in this paper, it is found that the trend of magnetic properties of electrical steels tends to flatten out with increasing Si content under the influence of temperature. In particular, the loss of 6.5% Si shows a trend of first decreasing and then increasing with the increase of temperature. The internal grain structure of electrical steel can explain this phenomenon very well. The larger the grain size, the less the magnetic properties of electrical steel are affected by temperature. In order to further analyze the variation phenomenon of electrical steel loss, the loss separation calculation was carried out for 5 more electrical steels with different Si content in this paper. The reason for this phenomenon was finally explained by a special preparation process of 6.5% Si.
English translation of Chinese calligraphic aesthetics
Authors: Song Ge
Published: February 2023

Chinese calligraphy, which distinctively represents traditional Chinese culture, contains many culture-specific
aesthetic terms that pose a translation challenge requiring creative cross-cultural strategies. This study presents several
English translations for four key Chinese aesthetic terms on calligraphy, namely shi 勢 (roughly translated as “vital force” or “energy”),
yun 韻 (once translated as
“rhythmic life” or “life movement”), fei bai 飛白 (“flying white” or “hollow strokes”) and jibai-danghei 計白當黑 (literally: treating white areas like black ink). It examines
their effectiveness in facilitating cross-cultural understanding and maximizing cultural authenticity. This article points out
that most of these terms have been adequately contextualized in English over the past century, even though some are rendered in
English using terms borrowed from Western art history. This shows how cultural translation, the theoretical basis of this study,
comes into play when dealing with Chinese aesthetic terms in calligraphy.
Enhanced luminescence sensing performance and increased intrachain order in blended films of P3HT and cellulose nanocrystals
Authors: Alam Kazi M , Garcia John C , Kiriakou Michael V , Chaulagain Narendra , Vrushabendrakumar Damini , Cranston Emily D , Gusarov Sergey , Kobryn Alexander E , Shankar Karthik
Published: February 2023

Blended films comprising poly(butyl acrylate) (PBA)-grafted cellulose nanocrystals (CNCs) and poly(3-hexylthiophene) (P3HT), exhibited more intense photoluminescence (PL) and longer PL emission lifetimes compared to pristine P3HT films. Optical absorption and photoluminescence spectra indicated reduced torsional disorder i.e. enhanced backbone planarity in the P3HT@CNC blended composites compared to the bare P3HT. Such molecule-level geometrical modification resulted in both smaller interchain and higher intrachain exciton bandwidth in the blended composites compared to the bare P3HT, because of reduced interchain interactions and enhanced intrachain order. These results indicate a potential switch of the aggregation behavior from dominant H-aggregates to J-aggregates, supported by Raman spectroscopy. The reorganization of micromolecular structure and concomitant macroscopic aggregation of the conjugated polymer chains resulted in a longer conjugation length for the P3HT@CNC blended composites compared to the bare P3HT. Additionally, this nanoscale morphological change produced a reduction in the highest occupied molecular orbital (HOMO)-lowest unoccupied molecular orbital (LUMO) energy gap of the blends, evidenced from optical absorption spectra. Classical molecular dynamics simulation studies predicted the probability of enhanced planarity in the polymer backbone following interactions with CNC surfaces. Theoretical results from density functional theory calculations corroborate the experimentally observed reduction of optical bandgap in the blends compared to bare P3HT. The blended composite outperformed the bare P3HT in nitro-group PL sensing tests with a pronounced difference in the reaction kinetics. While the PL quenching dynamics for bare P3HT followed Stern–Volmer kinetics, the P3HT@CNC blended composite exhibited a drastic deviation from the same. This work shows the potential of a functionalized rod-like biopolymer in tuning the optoelectronic properties of a technologically important polymeric organic semiconductor through control of the nanoscale morphology.
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
Authors: Khare Smith K , Bajaj Varun , Acharya U Rajendra
Published: February 2023

Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions, cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking. Timely detection and treatment of SZ are necessary to avoid long-term consequences. Electroencephalogram (EEG) signals are one form of a biomarker that can reveal hidden changes in the brain during SZ. However, the EEG signals are non-stationary in nature with low amplitude. Therefore, extracting the hidden information from the EEG signals is challenging. Approach. The time-frequency domain is crucial for the automatic detection of SZ. Therefore, this paper presents the SchizoNET model combining the Margenau–Hill time-frequency distribution (MH-TFD) and convolutional neural network (CNN). The instantaneous information of EEG signals is captured in the time-frequency domain using MH-TFD. The time-frequency amplitude is converted to two-dimensional plots and fed to the developed CNN model. Results. The SchizoNET model is developed using three different validation techniques, including holdout, five-fold cross-validation, and ten-fold cross-validation techniques using three separate public SZ datasets (Dataset 1, 2, and 3). The proposed model achieved an accuracy of 97.4%, 99.74%, and 96.35% on Dataset 1 (adolescents: 45 SZ and 39 HC subjects), Dataset 2 (adults: 14 SZ and 14 HC subjects), and Dataset 3 (adults: 49 SZ and 32 HC subjects), respectively. We have also evaluated six performance parameters and the area under the curve to evaluate the performance of our developed model. Significance. The SchizoNET is robust, effective, and accurate, as it performed better than the state-of-the-art techniques. To the best of our knowledge, this is the first work to explore three publicly available EEG datasets for the automated detection of SZ. Our SchizoNET model can help neurologists detect the SZ in various scenarios.
Crystal structure and magnetic property correlations in Ba1−x
Sr
x
Fe12O19 (0 ≤ x ≤ 1) hexaferrites
Authors: Palliyan Annarose J , Gorige Venkataiah
Published: February 2023

This paper reports a comprehensive study on the structure-property correlations in strontium-substituted barium hexaferrite and their suitability for possible applications at room temperature. A series of samples, Ba1−x
Sr
x
Fe12O19 (0 ≤ x ≤ 1) synthesized by citrate-based sol-gel auto-combustion technique, were characterized by various physicochemical characterization techniques. The x-ray diffraction data of these samples ensure the single-phase formation and the variation of crystallographic parameters as a function of strontium substitution was discussed. The decrease in lattice parameters with increasing strontium (x) substitution ensures the applicability of Vegard’s law for the present system. The scanning electron micrographs reveal some of the grains in hexagonal shape in these samples. Raman data revealed the interconnection between magnetic ion site occupancies and the corresponding magnetization contributions, thereby ensuring the structure-property correlations in these samples. As these hexaferrites consist of layers of (ferro- and antiferro-) magnetic domains, the sub-lattice magnetic contributions were estimated by fitting the magnetic hysteresis loops (M − H) data using theoretical models. The magnetization versus temperature (M − T) graphs confirmed the above room-temperature ferromagnetic behavior. This study clearly reveals that proper tuning of their structural properties can result in optimal magnetic properties, making them suitable for permanent magnet and room-temperature magnetic device applications.
Generalized gauge transformation and the corresponding Hermitian counterparts of SU(1, 1), SU(2) pseudo-Hermitian Hamiltonians
Authors: Liu Ni , Gu Yan , Liang J-Q
Published: February 2023

We study in this paper both the stationary and time-dependent pseudo-Hermitian Hamiltonians consisting respectively of SU(1, 1), SU(2) generators. The pseudo-Hermitian Hamiltonians can be generated from kernel Hermitian-Hamiltonians by a generalized gauge transformation with a non-unitary but Hermitian operator. The metric operator of the biorthogonal sets of eigenstates is simply the square of the transformation operator, which is formulated explicitly. The exact solutions of pseudo-Hermitian Hamiltonians are obtained in terms of the eigenststates of the Hermitian counterparts. We observe a critical point G

c
of coupling constant, where all eigenstates of the stationary Hamiltonians are degenerate with a vanishing eigenvalue. This critical point is modified as G

c
(ω) in the time-dependent case including the frequency of external field. Returning to the original gauge we obtain analytically the wave functions and associated non-adiabatic Berry phase, which diverges at the critical point for the SU(2)Hamiltonian. Beyond the critical point Berry phase becomes a complex domain.
Spatial radiation features of the off-axis collision between a relativistic electron and a tightly focused linearly polarized laser
Authors: Yang Qingyu , Wang Yubo , Cao Yifei , Li Jingwen , Tian Youwei
Published: February 2023

The collision between relativistic electrons and a tightly focused linearly polarized laser pulse produced nonlinear inverse Thomson scattering (NITS), which generates backward x-rays. The effects of the initial transverse position of electrons with varied initial energy on the angular distribution of radiation power and spectrum are studied through numerical simulation. For the electrons with low initial energy (i.e.

2.56

 MeV

), the off-axis collision breaks the spatial symmetry of x-ray radiation compared with the axial collision, the radiation direction is also torqued towards the same off-axis direction. There exists an optimal initial transverse position of electrons, which means the electron emitted from this position obtains greater radiation power. For the high-energy (

>
10

 MeV

) electrons, the effect of torsion is not significant. The impact of off-axial is mainly manifested in the high-order harmonic spectrum. These findings help obtain high quality x-rays and modulate NITS radiation symmetry by electron parameters.
Simulation results for a low energy nuclear recoil yields measurement in liquid xenon using the MiX detector
Authors: Amarasinghe C.S. , Coronel R. , Huang D.Q. , Liu Y. , Arthurs M. , Steinfeld S. , Gaitskell R. , Lorenzon W.
Published: February 2023

Measuring the scintillation and ionization yields of liquid xenon in response to ultra-low energy nuclear recoil events is necessary to increase the sensitivity of liquid xenon experiments to light dark matter. Neutron capture on xenon can be used to produce nuclear recoil events with energies below 0.3 keVNR via the asymmetric emission of γ rays during nuclear de-excitation. The feasibility of an ultra-low energy nuclear recoil measurement using neutron capture was investigated for the Michigan Xenon (MiX) detector, a small dual-phase xenon time projection chamber that is optimized for a high scintillation gain. Simulations of the MiX detector, a partial neutron moderator, and a pulsed neutron generator indicate that a population of neutron capture events can be isolated from neutron scattering events. Further, the rate of neutron captures in the MiX detector was optimized by varying the thickness of the partial neutron moderator, neutron pulse width, and neutron pulse frequency.
Light detection with power and signal transmission over fiber
Authors: Souza H.V.
Published: February 2023

The Deep Underground Neutrino Experiment is a next generation long baseline (1300 km) neutrino oscillation experiment. The neutrino beam measurements will be performed by a near detector and far detector. The far detector will consist of four modules, installed 1.5 km deep underground, based on Liquid Argon Time Projection Chamber (LArTPC) technology to detect particles. The Vertical Drift (VD) LArTPC is a recent technology proposed by the DUNE collaboration for the second FD module. In VD, light collection will be optimized by embedding photon detectors within the LArTPC cathode, which is biased at −300 kV. As a result, power must arrive to the Photon Detection System and signal must be transmitted via non-conductive material. The proposed solution is to use Power-over-Fiber and Signal-over-Fiber. An intense validation of the system is being performed by the collaboration at the CERN Neutrino Platform. The design of the system and the results of the validation collected over the first half of 2022 are presented here.
STRV — a radiation hard RISC-V microprocessor for high-energy physics applications
Authors: Walsemann A. , Karagounis M. , Stanitzki A. , Tutsch D.
Published: February 2023

While microprocessors are used in various applications, they are precluded from the use in high-energy physics applications due to the harsh radiation present. To overcome this limitation a microprocessor design must withstand high doses of radiation and mitigate radiation induced soft errors. A TMR protection scheme is applied to protect a RISC-V microprocessor core against these faults. The protection of the integrated SRAM by an independent scrubbing algorithm is discussed. Initial irradiation results and power consumption measurements of the radiation-resistant RISC-V microprocessor implemented in 65 nm CMOS technology are presented.
Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes
Authors: Delgado-Torres Carlos , Donat Markus , Soret Albert , Gonzalez-Reviriego Nube , Bretonnière Pierre-Antoine , Ho An-Chi , Pérez-Zanón Núria , Samsó Margarida , Doblas-Reyes Francisco J
Published: February 2023

The occurrence of extreme climate events in the coming years is modulated by both global warming and internal climate variability. Anticipating changes in frequency and intensity of such events in advance may help minimize the impact on climate-vulnerable sectors and society. Decadal climate predictions have been developed as a source of climate information relevant for decision-making at multi-annual timescales. We evaluate the multi-model forecast quality of the CMIP6 decadal hindcasts in predicting a set of indices measuring different characteristics of temperature and precipitation extremes for the forecast years 1-5. The multi-model ensemble skillfully predicts the temperature extremes over most land regions, while the skill is more limited for precipitation extremes. We further compare the prediction skill for these extreme indices to the skill for mean temperature and precipitation, finding that the extreme indices are predicted with lower skill, particularly those representing the most extreme days. We find only small and region-dependent improvements from model initialization in comparison to historical forcing simulations. This systematic evaluation of decadal hindcasts is essential when providing a climate service based on decadal predictions so that the user is informed on the trustworthiness of the forecasts for each specific region and extreme event.
A note on the dissipation for the general Muskat problem
Authors: Haziot Susanna , Pausader Benoît
Published: February 2023

We consider the dissipation of the Muskat problem and we give an elementary proof of a surprising inequality of Constantin-Cordoba-Gancedo-Strain [J. Eur. Math. Soc. (JEMS) 15 (2013), pp. 201–227 and Amer. J. Math. 138 (2016), pp. 1455–1494] which holds in greater generality.
Identifying spatial domain by adapting transcriptomics with histology through contrastive learning
Authors: Zeng Yuansong , Yin Rui , Luo Mai , Chen Jianing , Pan Zixiang , Lu Yutong , Yu Weijiang , Yang Yuedong
Published: February 2023

Recent advances in spatial transcriptomics have enabled measurements of gene expression at cell/spot resolution meanwhile retaining both the spatial information and the histology images of the tissues. Accurately identifying the spatial domains of spots is a vital step for various downstream tasks in spatial transcriptomics analysis. To remove noises in gene expression, several methods have been developed to combine histopathological images for data analysis of spatial transcriptomics. However, these methods either use the image only for the spatial relations for spots, or individually learn the embeddings of the gene expression and image without fully coupling the information. Here, we propose a novel method ConGI to accurately exploit spatial domains by adapting gene expression with histopathological images through contrastive learning. Specifically, we designed three contrastive loss functions within and between two modalities (the gene expression and image data) to learn the common representations. The learned representations are then used to cluster the spatial domains on both tumor and normal spatial transcriptomics datasets. ConGI was shown to outperform existing methods for the spatial domain identification. In addition, the learned representations have also been shown powerful for various downstream tasks, including trajectory inference, clustering, and visualization.
PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk
Authors: Zhu Fei , Deng Lei , Dai Yuhao , Zhang Guangyu , Meng Fanwang , Luo Cheng , Hu Guang , Liang Zhongjie
Published: February 2023

Post-translational modifications (PTMs) fine-tune various signaling pathways not only by the modification of a single residue, but also by the interplay of different modifications on residue pairs within or between proteins, defined as PTM cross-talk. As a challenging question, less attention has been given to PTM dynamics underlying cross-talk residue pairs and structural information underlying protein–protein interaction (PPI) graph, limiting the progress in this PTM functional research. Here we propose a novel integrated deep neural network PPICT (Predictor for PTM Inter-protein Cross-Talk), which predicts PTM cross-talk by combining protein sequence-structure-dynamics information and structural information for PPI graph. We find that cross-talk events preferentially occur among residues with high co-evolution and high potential in allosteric regulation. To make full use of the complex associations between protein evolutionary and biophysical features, and protein pair features, a heterogeneous feature combination net is introduced in the final prediction of PPICT. The comprehensive test results show that the proposed PPICT method significantly improves the prediction performance with an AUC value of 0.869, outperforming the existing state-of-the-art methods. Additionally, the PPICT method can capture the potential PTM cross-talks involved in the functional regulatory PTMs on modifying enzymes and their catalyzed PTM substrates. Therefore, PPICT represents an effective tool for identifying PTM cross-talk between proteins at the proteome level and highlights the hints for cross-talk between different signal pathways introduced by PTMs.
Polymerase-δ-deficiency as a novel cause of inborn cancer predisposition associated with human papillomavirus infection
Authors: Strobl Johanna , Huber Bettina , Heredia Raul Jimenez , Kirnbauer Reinhard , Boztug Kaan , Stary Georg
Published: February 2023

Our study illustrates a predisposition to cancer upon cutaneous β genus human papillomavirus (HPV) infection as part of human polymerase-δ deficiency. In addition, polymerase-δ deficiency infers susceptibility to the development of large cutaneous warts and progression to squamous cell carcinoma associated with HPV63, which usually causes benign papillomas. Our findings warrant close monitoring for viral skin oncogenesis in individuals with syndromic polymerase-δ deficiency.
‘Come as you are’: place attachment to Islamic third spaces in the United States
Authors: Mohammed Hassnaa
Published: February 2023

Our global community necessitates the understanding of emergent hybrid typologies of religious spaces and their role in community development. Islamic third spaces are informal socio-religious environments that serve the unmet needs of acculturated generations of US Muslims. Using a place attachment framework, the study illustrates how the social and physical designs of two third spaces curate inclusive and contextually driven experiences for their members. This is done through an exploration of data from twenty-four in-depth semi-structured interviews with attendees of two Islamic third spaces. Findings indicated that, in addition to social and physical features of third spaces, contextual influences affecting US Muslims served a crucial role in participants place attachment. We conclude that attachment to third spaces provides a basis for community development processes, such as social cohesion and integration within the US populous.
Comment on ‘Oral ivermectin to treat scabies: a comparison of two different regimens’
Authors: Potestio Luca , Ruggiero Angelo , Fabbrocini Gabriella , Martora Fabrizio , Costanzo Luca , Gallo Lucia
Published: February 2023

Current guidelines recommended the use of oral ivermectin (taken with food) 200 µg kg–1 as two doses 1-week apart as the first-line treatment option; however, the drug package of the ivermectin formulation recently approved for the Italian market recommends a single dose. In this context, we read with great interest the article recently published by Balestri et al. comparing two regimens of oral ivermectin. Similarly, we performed a retrospective analysis at our Dermatological Clinic of Mycology and Parasitosis and report our results.
A patient with familial Flegel disease caused by a novel splicing variant in SPTLC1
Authors: Xue Ruzeng , Cheng Qing , Li Ming , Peng Sha , Liang Lina , Lin Mao-ying , Wang Huijun , Lin Zhimiao
Published: February 2023

Flegel disease (also known as hyperkeratosis lenticular perstans, HLP) is a rare keratinization disorder characterized by multiple asymptomatic papules predominantly distributed on the distal extremities. Very recently, variants in SPTLC1, which encodes serine palmitoyltransferase, long chain base subunit-1 (SPTLC1), have been demonstrated to cause HLP. Herein, we report a patient with familial HLP caused by a novel variant in SPTLC1.
Temporal hierarchy of cortical responses reflects core-belt-parabelt organization of auditory cortex in musicians
Authors: Benner Jan , Reinhardt Julia , Christiner Markus , Wengenroth Martina , Stippich Christoph , Schneider Peter , Blatow Maria
Published: February 2023

Human auditory cortex (AC) organization resembles the core-belt-parabelt organization in nonhuman primates. Previous studies assessed mostly spatial characteristics; however, temporal aspects were little considered so far. We employed co-registration of functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) in musicians with and without absolute pitch (AP) to achieve spatial and temporal segregation of human auditory responses. First, individual fMRI activations induced by complex harmonic tones were consistently identified in four distinct regions-of-interest within AC, namely in medial Heschl’s gyrus (HG), lateral HG, anterior superior temporal gyrus (STG), and planum temporale (PT). Second, we analyzed the temporal dynamics of individual MEG responses at the location of corresponding fMRI activations. In the AP group, the auditory evoked P2 onset occurred ~25 ms earlier in the right as compared with the left PT and ~15 ms earlier in the right as compared with the left anterior STG. This effect was consistent at the individual level and correlated with AP proficiency. Based on the combined application of MEG and fMRI measurements, we were able for the first time to demonstrate a characteristic temporal hierarchy (“chronotopy”) of human auditory regions in relation to specific auditory abilities, reflecting the prediction for serial processing from nonhuman studies.