bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep learning approach for denoising low-SNR correlation plenoptic images
Authors: Scattarella Francesco , Diacono Domenico , Monaco Alfonso , Amoroso Nicola , Bellantuono Loredana , Massaro Gianlorenzo , Pepe Francesco V. , Tangaro Sabina , Bellotti Roberto , D’Angelo Milena
Published: November 2023

Correlation Plenoptic Imaging (CPI) is a novel volumetric imaging technique that uses two sensors and the spatio-temporal correlations of light to detect both the spatial distribution and the direction of light. This novel approach to plenoptic imaging enables refocusing and 3D imaging with significant enhancement of both resolution and depth of field. However, CPI is generally slower than conventional approaches due to the need to acquire sufficient statistics for measuring correlations with an acceptable signal-to-noise ratio (SNR). We address this issue by implementing a Deep Learning application to improve image quality with undersampled frame statistics. We employ a set of experimental images reconstructed by a standard CPI architecture, at three different sampling ratios, and use it to feed a CNN model pre-trained through the transfer learning paradigm U-Net architecture with VGG-19 net for the encoding part. We find that our model reaches a Structural Similarity (SSIM) index value close to 1 both for the test sample (SSIM = $$0.87 \pm 0.02$$

0.87
±
0.02

) and in 5-fold cross validation (SSIM = $$0.92 \pm 0.07$$

0.92
±
0.07

); the results are also shown to outperform classic denoising methods, in particular for images with lower SNR. The proposed work represents the first application of Artificial Intelligence in the field of CPI and demonstrates its high potential: speeding-up the acquisition by a factor 20 over the fastest CPI so far demonstrated, enabling recording potentially 200 volumetric images per second. The presented results open the way to scanning-free real-time volumetric imaging at video rate, which is expected to achieve a substantial influence in various applications scenarios, from monitoring neuronal activity to machine vision and security.
Comparison of the optical behaviour of five different multifocal diffractive intraocular lenses in a model eye
Authors: Can Efe , Senel Esat Can , Holmström Sven T. S. , Piñero David P.
Published: November 2023

The purpose of this study was to investigate and compare the optical performance of five trifocal intraocular lenses (IOLs) following the ISO 11979-2 standards, analysing the impact of tilt and decentration. Five different diffractive trifocal IOLs were evaluated in this experimental study: Acriva Trinova (VSY-Biotechnology) (AT), FineVision HP (PhysIOL) (FVHP), AT LISA tri 839 MP (Zeiss) (ATLT), PanOptix TFNT00 IOL (Alcon) (PO), and Tecnis Synergy (J&J Vision) (TS). In-vitro optical quality analysis of them was performed with the Lambda PMTF system that has an aberration neutral cornea model (Lambda-X Ophthalmics). Measurements were performed on-axis, with 5º of IOL tilt and with 0.5 mm of IOL decentration using 543-nm monochromatic light. Finally, IOL dimensions and diffractive disk profile inspection was performed using the VisIOLA system (Rotlex). On-axis measurements showed a far through-focus MTF > 0.3 at 3 mm aperture, except for TS. FVHP and PO showed better far MTFs for larger apertures (3.75 mm and 4.5 mm) while AT showed good intermediate and near vision for such apertures. With 5º of IOL tilt, the better optical performance at all distances was found with AT for medium-sized pupils (3 mm) and an important reduction of MTF was found for ATLT and PO, especially in the intermediate focus. The induction of 0.5 mm of IOL decentration especially affected the intermediate focus of ATLT and TS and the far focus of FVHP and PO. IOL dimensions and diffractive profile were consistent with those described by the manufacturer. In conclusion, there are differences in the optical performance according to the pupil aperture of the five trifocal IOLs evaluated and this should be considered in clinical practice when selecting the most appropriate implant in each specific case. IOL tilt and decentration can affect significantly in most of the designs evaluated the performance of the IOL at intermediate vision range. It should be noted that measurements were made with an aberration-free cornea, being necessary future studies analysing the impact of different levels of corneal aberrations.
Mining cancer genomes for change-of-metabolic-function mutations
Authors: Tu Kevin J. , Diplas Bill H. , Regal Joshua A. , Waitkus Matthew S. , Pirozzi Christopher J. , Reitman Zachary J.
Published: November 2023

Enzymes with novel functions are needed to enable new organic synthesis techniques. Drawing inspiration from gain-of-function cancer mutations that functionally alter proteins and affect cellular metabolism, we developed METIS (Mutated Enzymes from Tumors In silicoScreen). METIS identifies metabolism-altering cancer mutations using mutation recurrence rates and protein structure. We used METIS to screen 298,517 cancer mutations and identify 48 candidate mutations, including those previously identified to alter enzymatic function. Unbiased metabolomic profiling of cells exogenously expressing a candidate mutant (OGDHLp.A400T) supports an altered phenotype that boosts in vitro production of xanthosine, a pharmacologically useful chemical that is currently produced using unsustainable, water-intensive methods. We then applied METIS to 49 million cancer mutations, yielding a refined set of candidates that may impart novel enzymatic functions or contribute to tumor progression. Thus, METIS can be used to identify and catalog potentially-useful cancer mutations for green chemistry and therapeutic applications.
Repeated multi-domain cognitive training prevents cognitive decline, anxiety and amyloid pathology found in a mouse model of Alzheimer disease
Authors: Mehla Jogender , Deibel Scott H. , Karem Hadil , Hong Nancy S. , Hossain Shakhawat R. , Lacoursiere Sean G. , Sutherland Robert J. , Mohajerani Majid H. , McDonald Robert J.
Published: November 2023

Education, occupation, and an active lifestyle, comprising enhanced social, physical, and mental components are associated with improved cognitive functions in aged people and may delay the progression of various neurodegenerative diseases including Alzheimer’s disease. To investigate this protective effect, 3-month-old APPNL-G-F/NL-G-F mice were exposed to repeated single- or multi-domain cognitive training. Cognitive training was given at the age of 3, 6, & 9 months. Single-domain cognitive training was limited to a spatial navigation task. Multi-domain cognitive training consisted of a spatial navigation task, object recognition, and fear conditioning. At the age of 12 months, behavioral tests were completed for all groups. Then, mice were sacrificed, and their brains were assessed for pathology. APPNL-G-F/NL-G-F mice given multi-domain cognitive training compared to APPNL-G-F/NL-G-F control group showed an improvement in cognitive functions, reductions in amyloid load and microgliosis, and a preservation of cholinergic function. Additionally, multi-domain cognitive training improved anxiety in APPNL-G-F/NL-G-F mice as evidenced by measuring thigmotaxis behavior in the Morris water maze. There were mild reductions in microgliosis in the brain of APPNL-G-F/NL-G-F mice with single-domain cognitive training. These findings provide causal evidence for the potential of certain forms of cognitive training to mitigate the cognitive deficits in Alzheimer disease.
Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15
Authors: Liu Jian , Guo Zhiye , Wu Tianqi , Roy Raj S. , Quadir Farhan , Chen Chen , Cheng Jianlin
Published: November 2023

To enhance the AlphaFold-Multimer-based protein complex structure prediction, we developed a quaternary structure prediction system (MULTICOM) to improve the input fed to AlphaFold-Multimer and evaluate and refine its outputs. MULTICOM samples diverse multiple sequence alignments (MSAs) and templates for AlphaFold-Multimer to generate structural predictions by using both traditional sequence alignments and Foldseek-based structure alignments, ranks structural predictions through multiple complementary metrics, and refines the structural predictions via a Foldseek structure alignment-based refinement method. The MULTICOM system with different implementations was blindly tested in the assembly structure prediction in the 15th Critical Assessment of Techniques for Protein Structure Prediction (CASP15) in 2022 as both server and human predictors. MULTICOM_qa ranked 3rd among 26 CASP15 server predictors and MULTICOM_human ranked 7th among 87 CASP15 server and human predictors. The average TM-score of the first predictions submitted by MULTICOM_qa for CASP15 assembly targets is ~0.76, 5.3% higher than ~0.72 of the standard AlphaFold-Multimer. The average TM-score of the best of top 5 predictions submitted by MULTICOM_qa is ~0.80, about 8% higher than ~0.74 of the standard AlphaFold-Multimer. Moreover, the Foldseek Structure Alignment-based Multimer structure Generation (FSAMG) method outperforms the widely used sequence alignment-based multimer structure generation.
Enhancing charge transfer in a W18O49/g-C3N4 heterostructure via band structure engineering for effective SERS detection and flexible substrate applications
Authors: Tan Lu , Yue Shuzhen , Lou Yongbing , Zhu Jun-Jie
Published: November 2023

A band structure engineered W18O49/g-C3N4 heterostructure (WCN) was first employed as a CM-based SERS substrate with remarkable enhancement and sensitivity.
Strategic design of an NIR probe for viscosity imaging in inflammatory and non-alcoholic steatohepatitis mice
Authors: Ma Yaogeng , Li Min , Sun Huilin , Ge Jing-Yuan , Bai Yang , Qiu Lin , Wu Xuan , Chen Jiuxi , Chen Zhongyan
Published: November 2023

A highly sensitive NIR fluorescent probe was developed for viscosity imaging through an enhanced intramolecular interaction strategy.
Mesoporous alloy chiral nanoparticles with high production yield and strong optical activities
Authors: Ma Yicong , Yang Lin , Chen Yu , Bai Xiaopeng , Qu Geping , Yao Tao , Hu Xiangchen , Wang Jianfang , Xu Zongxiang , Yu Yi , Huang Zhifeng
Published: November 2023

Gold functions as an adhesion layer and a dopant in the host silver chiral nanoparticles (CNPs), leading to high production yield and strong optical activities of binary mesoporous CNPs generated by galvanic replacement reactions of the host.
Introduction of TiO2 enhancing the catalytic performance of Ti(SO4)2/SiO2 for dimethyl ether oxidation
Authors: Cao Guozhuang , Gao Xiujuan , Song Faen , Wang Xiaqing , Wang Xiaoxing , Zhang Junfeng , Han Yizhuo , Zhang Qingde
Published: November 2023

Introduction of trace TiO2 improves the performance of Ti(SO4)2/SiO2 for DME oxidation to DMM.
A dual-emission Tb-based MOF induced by ESPT for ratiometric ammonia sensing
Authors: Zhao Yuming , Zhang Rudie , Xiao Cheng , Yue Dan , Qin Bowen , Liu Jinhui , Wang Zhenling , Fu Yu
Published: November 2023

A Tb-MOF based on an ESPT response linker was constructed, which can be used as a ratiometric fluorescence sensor for ammonia.
A first-principles investigation of Cr adsorption on C8 and B4N4 nanocages in aqueous mediums
Authors: Ahmed Mohammad Tanvir , Roy Debashis , Roman Abdullah Al , Islam Shariful , Ahmed Farid
Published: November 2023

Chromium metal removal from polluted environments using C8 and B4N4 nanocages.
Simultaneous improvement of polarization and bandgap by finite solid solution engineering
Authors: Guo Fei , Liu Rui , Guo Siyuan , Liu Yaping , Gao Lei , Zhao Shifeng
Published: November 2023

Finite solid solution engineering provides an optimized strategy that is mutually beneficial for the polarization and bandgap.
CH bond activation in aromatic ketones mediated by iridium-tris(pyrazolyl)borate complexes
Authors: Ortiz-Hernández M. , Salazar-Pereda V. , Mendoza-Espinosa D. , Gomez-Bonilla M. A. , Cristobal C. , Ortega-Alfaro M. C. , Suárez A. , Sandoval-Chavez C. I.
Published: November 2023

Reaction of complex [TpMe2Ir(η4-CH2C(Me)C(Me)C2)] (1) with a series of aromatic ketones at 130 °C renders, by means of a selective ortho-CH activation, Ir(iii)-metallacycles 2–5, which display an Ir–H bond.
Synthesis of a tetranitrosyl iron complex with unique structure and properties as an inhibitor of phosphodiesterases
Authors: Sanina N.A. , Utenyshev A. N. , Dorovatovskii P. V. , Emel'yanova N. S. , Ovanesyan N. S. , Kulikov A. V. , Sulimenkov I. V. , Luzhkov V. B. , Pokidova O. V. , Aldoshin S. M.
Published: November 2023

A novel neutral tetranitrosyl iron complex {[Fe(H2O)4]2+[FeR2(NO)2]22−}·4H2O (1) with R = 5-(3-pyridyl)-4H-1,2,4-triazole-3-thiolyls (C7H5N4S), which is a supramolecular ensemble, has been synthesized and studied.
Achieving a high open-circuit voltage of 1.339 V in 1.77 eV wide-bandgap perovskite solar cells via self-assembled monolayers
Authors: Yi Zongjin , Wang Wanhai , He Rui , Zhu Jingwei , Jiao Wenbo , Luo Yi , Xu Yuliang , Wang Yunfan , Zeng Zixin , Wei Kun , Zhang Jinbao , Tsang Sai-Wing , Chen Cong , Tang Weihua , Zhao Dewei
Published: November 2023

A self-assembled monolayer of DCB-BPA hole-selective layer facilitates the improved buried-interface quality, leading to a certified VOC of 1.339 V of 1.77 eV wide-bandgap perovskite solar cells.
Enhanced H2 production at the atomic Ni–Ce interface following methanol steam reforming
Authors: Hu Yaqi , Liang Zhong , Zhang Yabin , Du Yaping , Zhang Hongbo
Published: November 2023

As the active component for MSR, the atomically dispersed Ni–CeOx interfacial sites connect the MD and WGS, in which the Ni sites and Ov in CeOx contribute to the activation of methanol and water, respectively, resulting in excellent MSR activity.
A green and efficient process for the stepwise extraction of Cu, Ni, Co, Mn, and Li from hazardous waste with a novel solvent extraction system of D2EHPA-NNPA
Authors: Zheng Qiyuan , Zeng Li , Cao Zuoying , Wu Shengxi , Li Qinggang , Wang Mingyu , Guan Wenjuan , Zhang Guiqing
Published: November 2023

Schematic structure of D2EHPA and NNPA and the metal extraction pH isotherms of their synergistic extraction system.
Robust MOF-on-MOF heterostructures as efficient cathode candidates for next-generation supercapacitors
Authors: Deka Rakesh , Kumar Viresh , Mobin Shaikh M
Published: November 2023

The Ni-BTC@ZIF-67 heterostructure is shown to enhance the supercapacitor performance. Investigated in both three- and two-electrode setups; this approach unveils exciting prospects in materials chemistry for advanced supercapacitor applications.
Newly synthesized 6-substituted piperazine/phenyl-9-cyclopentyl containing purine nucleobase analogs act as potent anticancer agents and induce apoptosis via inhibiting Src in hepatocellular carcinoma cells
Authors: Bilget Guven Ebru , Durmaz Sahin Irem , Altiparmak Duygu , Servili Burak , Essiz Sebnem , Cetin-Atalay Rengul , Tuncbilek Meral
Published: November 2023

When the purine analog, compound 19, is introduced to liver cancer cells, selectively interacting with ALK and BTK, phospho-Src, phospho-Rb, cyclin E, and cdk2 levels decrease, thereby leading the cell to apoptosis.
Synthetic graphene–copper nanocomposites interact with the hACE-2 enzyme and inhibit its biochemical activity
Authors: Sulthana Shoukath , Bhatti Abeera , Mathew Elza , Quazi Sohel H. , Gaudreault Natasha N. , DeLong Robert , Aryal Santosh
Published: November 2023

Graphene–Cu and copper oxide nanocomposites showed an enhanced inhibitory effect against the hACE-2 enzyme, which is one of the passages for COVID infection.
Exploring dual solutions and thermal conductivity in hybrid nanofluids: a comparative study of Xue and Hamilton–Crosser models
Authors: Sarfraz Mahnoor , Yasir Muhammad , Khan Masood
Published: November 2023

This study involves injecting a mixture of methanol and silica–alumina nanoparticles into an electrically conductive disk capable of generating or absorbing heat with a permeable boundary.
Controlling incorporation of TiO2 nanoparticles in the carbonization process: a new strategy to develop a nitrogen-doped carbon-based Mo2C@TiO2 electrocatalyst for electrochemical hydrogen evolution reaction
Authors: Shi Bairu , Fu Tao , Ma Pengli , Xu Yinxia , Chanda Debabrata , Yang Qinghai , Liu Shanhu
Published: November 2023

Nitrogen-doped carbon-based Mo2C@TiO2 was synthesized via controlling incorporation of TiO2 nanoparticles in the carbonization process. The electrocatalyst shows excellent stability with a slightly declined current density of 92.88% after 35 h of operation because of the involvement of TiO2.
Rich oxygen atom-decorated conjugated microporous polymers for carbon dioxide capture
Authors: Cheng Guiqing , Han Yuxi
Published: November 2023

Rich oxygen atom-decorated conjugated microporous polymers (O-CMPs) have been synthesized for CO2 uptake.
PtxAg100−x nano-alloy decorated N-doped reduced graphene oxide: a promising electrocatalyst for direct urea fuel cells
Authors: Amin Iram , Bhat Sajad Ahmad , Bhat Murtaza Manzoor , Sofi Feroz Ahmad , Bhat Aamir Y. , Ingole Pravin P. , Mondal Ritwik , Thotiyl Musthafa Ottakam , Bhat Mohsin Ahmad
Published: November 2023

Pt50Ag50-NGr as an excellent electrocatalyst for Direct urea fuel cells (DUFCs) that offer an environmentally friendly, and cost-effective way to turn wastewater into energy.
Boosting the photodegradation of rhodamine B with the CuWO4/g-C3N4 heterojunction by introducing biomass derived N-CQDs as an electron mediator: mechanism and DFT calculations
Authors: Goswami Juri , Basyach Purashri , Purkayastha Siddhartha K. , Guha Ankur K. , Hazarika Parasa , Saikia Lakshi
Published: November 2023

This work demonstrates the waste biomass assisted synthesis of a Z-scheme catalyst (CuWO4/N-CQD/g-C3N4). The as-synthesized catalyst has been utilized for the photocatalytic degradation of rhodamine B in aqueous medium.
Band structure sensitive photoresponse in twisted bilayer graphene proximitized with WSe2
Authors: Parappurath Aparna , Ghawri Bhaskar , Bhowmik Saisab , Singha Arup , Watanabe K. , Taniguchi T. , Ghosh Arindam
Published: November 2023

This work is the first experimental demonstration of optoelectronic response in twisted bilayer graphene (tBLG) coupled with WSe2. We observe photoresponse tunable with Fermi energy, indicative of underlying mechanism governed by tBLG band structure.
tert-Butylhydroperoxide mediated radical cyanoalkylation/cyanoalkenylation of 2-anilino-1,4-naphthoquinones with vinylarenes/arylalkynes and azobis(alkylcarbonitrile)s
Authors: Bhuyan Mayurakhi , Sharma Suraj , Dutta Nibedita Baruah , Baishya Gakul
Published: November 2023

We disclosed a TBHP mediated cyanoalkylation/cyanoalkenylation reaction of 2-anilino-1,4-naphthoquinones with vinylarenes/arylalkynes and azobis(alkylcarbonitrile)s in a one-pot three-component fashion via a radical cascade pathway.
Synthesis of acyl fluorides through deoxyfluorination of carboxylic acids
Authors: Cen Mengjie , Yang Xi , Zhang Shanshan , Gan Liguang , Liu Long , Chen Tieqiao
Published: November 2023

A direct deoxyfluorination of carboxylic acids by utilizing KF as fluoride source has been developed. Scale-up reaction could be carried out under the solvent-free conditions, which exhibited the practicability of this reaction in organic synthesis.
Visible light mediated synthesis of 1,3-diarylated imidazo[1,5-a]pyridines via oxidative amination of C–H catalyzed by graphitic carbon nitride
Authors: Talpada Nandish , Sharma Anuj S. , Sharma Vinay S. , Varma Rajender S. , Shrivastav Pranav S. , Ahmed Rahul , Ammathnadu Sudhakar Achalkumar
Published: November 2023

Graphitic carbon nitride (g-C3N4) as a novel heterogeneous catalyst is employed for the visible light-mediated synthesis of imidazo[1,5-a]pyridines via the oxidative amination of C–H bonds.
Multi-stimulus responsive properties of a Cd-MOF based on tetraphenylethylene
Authors: Wang Chen , Zhang Ting , Sun Li-Xian , Xing Yong-Heng , Bai Feng-Ying
Published: November 2023

The three-dimensional MOF Cd-tcbpe undergoes ligand conformational compression under multi stimulus response conditions, resulting in sensitive and reversible fluorescence color changes. This multi stimulus response behavior could be widely applied.
Defect passivation engineering of wide-bandgap perovskites for high-performance solar cells
Authors: Wu Xiao , Xiong Guoqing , Yue Ziyao , Dong Ziyao , Cheng Yuanhang
Published: November 2023

This article provides a comprehensive review of the strategies for passivating defects in wide-bandgap perovskite solar cells.
Carbon atom insertion into N-heterocyclic carbenes to yield 3,4-dihydroquinoxalin-2(1H)-ones
Authors: Lamb Justin S. , Koyama Futa , Suzuki Noriyuki , Suzuki Yumiko
Published: November 2023

A molecular editing strategy to construct quinoxalinones from chromones and benzimidazolylidene N-heterocyclic carbenes (NHCs) was developed. The C2 atoms of the chromones were incorporated into the quinoxalinones via ring expansion of the NHCs.
Hydrophobic carboxymethyl cellulose as a clean-up sorbent in the determination of nitrofuran metabolites in animal-fat samples
Authors: Thabet Omar A. , Al Muzini Faisal S. , Atiya Abdulaziz M. , Alamry Khalid A. , Hussein Mahmoud A. , Hoogenboom Richard
Published: November 2023

Hydrophobic-CMC biopolymers were fabricated for the removal of fat from food sample matrices. The CMCs were synthesized via the esterification of CMC with three alcohols with carbon chains of different lengths, in the presence of sulfuric acid.
Phosphoryl- or phosphinoyl-functionalized benzo[de]isoquinolinones: synthesis, experimental design, mechanism and biological activity
Authors: Rávai Bettina , Popovics-Tóth Nóra , Komka Kinga , Csontos István , Szokol Bálint , Őrfi Zoltán , Őrfi László , Bálint Erika
Published: November 2023

A new T3P®-mediated multicomponent method was developed for the synthesis of potentially biologically active phosphoryl- or phosphinoyl-functionalized benzo[de]isoquinolinones.
Student perceptions of partial charges and nucleophilicity/electrophilicity when provided with either a bond-line, ball-and-stick, or electrostatic potential map for molecular representation
Authors: Farheen Ayesha , Martin Nia , Lewis Scott E.
Published: November 2023

Education in organic chemistry is highly reliant on molecular representations. Students abstract information from representations to make sense of submicroscopic interactions. This study investigates relationships between differing representations: bond-line structures, ball-and-stick, or electrostatic potential maps (EPMs), and predicting partial charges, nucleophiles, and electrophiles. The study makes use of students’ answers in hot-spot question format, where they select partially charged atoms on the image of a molecule and explanations. Analysis showed no significant difference among students when predicting a partially positive atom with each representation; however, more students with EPMs were able to correctly predict the partially negative atom. No difference was observed across representations in students predicting electrophilic character; while representations did influence students identifying nucleophilic character. The affordance of EPMs was that they cued more students to cite relative electronegativity indicating that such students were able to recognize the cause for electron rich/poor areas. This recognition is central to rationalizing mechanisms in organic chemistry. This study offers implications on incorporating EPMs during instruction and provides evidence-based support in how EPMs could be useful in promoting learning on topics that relate to an uneven charge distribution.
Exploring metal oxides for the hydrogen evolution reaction (HER) in the field of nanotechnology
Authors: Danish Mir Sayed Shah
Published: November 2023

As the global energy landscape transitions towards a more diversified mix, with electricity and hydrogen constituting half of the final energy consumption by 2050, the focus on efficient and sustainable hydrogen production intensifies.
Superior single- and multi-component siloxane removal from water using a faulted silica DON zeolite adsorbent
Authors: Vega-Santander Dariana R. , Arrieta-Pérez Rodinson , Rivera-Mirabal Daniela , Del Valle-Pérez Gabriela , Sepúlveda-Pagán Miguel , Muñoz-Senmache Juan C. , Pagán-Torres Yomaira J. , Hernández-Maldonado Arturo J.
Published: November 2023

Pure porous silica zeolite adsorbents with framework surface faults, in the form of siloxy groups, are selective toward single- or multi-component linear siloxanes for removal from water.
Equivalence of knife‐edge diffraction model and uniform geometrical theory of diffraction applying Fresnel approximation for an absorbing screen
Authors: Du Xin , Takada Jun‐ichi
Published: November 2023

The knife‐edge diffraction model (KED) and the uniform geometrical theory of diffraction (UTD) have been widely used to predict the shadowing effect at millimetre‐wave (mmWave) bands. This letter proposes a mathematical derivation to rigorously prove that, for an absorbing screen, UTD applying the narrow‐angle Fresnel approximation is equivalent to KED. The simulation scenarios are designed to validate the proposal by comparing KED with UTD in the narrow‐angle (less than 20°) and wide‐angle (over 20°) regions at mmWave bands (20100 GHz). Simulated results agree with the proposal that KED is identical to UTD with a low error of less than 0.1 dB in the narrow‐angle region, while they have a difference with an error of over 1 dB in the wide‐angle region. In addition, the average computational time is measured and results in both UTD and KED taking approximately 8.0 ms for one test. From the proposal, it can be theoretically explained the differences and similarities between KED and UTD for an absorbing screen.
Towards low‐complexity state estimation for rigid bodies based on range difference measurements
Authors: Wang Yuwei , Sun Peng , Wang Zhi
Published: November 2023

The rigid body localization (RBL) technique is capable of estimating the state of a rigid body, including its translation and orientation, by utilizing the interactions between sensors and landmarks. The prevalent RBL methods employ precise time‐of‐flight measurements (or range measurements) to estimate the state. However, the clock offsets in range measurements in asynchronous networks are unavoidable, leading to performance degradation for state estimators. Therefore, range difference measurements have been adopted to solve the RBL problem. However, existing approaches struggle to achieve desirable performance while maintaining computational efficiency. To address this issue, a new closed‐form state estimator for asynchronous networks is introduced. The proposed algorithm leverages the Taylor‐series expansion technique to enhance accuracy while keeping computational overhead low. Numerical experiments demonstrate that the proposed method achieves state‐of‐the‐art performance with high computational efficiency under small Gaussian noises.
A compact differential branch‐line coupler using folded substrate integrated suspended parallel strip line
Authors: Shen Huajiao , Wang Yongqiang , Meng Fanyi , Ma Kaixue
Published: November 2023

This letter presents a compact fully differential branch‐line coupler. It is composed of folded substrate integrated suspended parallel strip line (SISPSL), which can generate slow‐wave effect and help reduce the circuit size. The used SISPSL type line is a fusion of double‐sided parallel‐strip line (DSPSL) and substrate integrated suspended line (SISL), which has the advantage of self‐packaging as compared with traditional DSPSL exposed to air. A DC to 30‐GHz differential transition from grounded coplanar waveguide (GCPW) to SISPSL is designed to test the SISPSL differential coupler. The implemented SISPSL branch‐line coupler has a compact size of 0.056 λg × 0.05 λg.
Additive margin networks with adaptive feature recalibration and its applications in Brain Stroke CT Image classification
Authors: Gao Qinling , Fu Hao , Zhao Xuejing , Ge Zhaoming
Published: November 2023

In this paper, an additive margin network with adaptive feature recalibration, AMNets, for handling a wide range of visual tasks, is proposed. The new AMNets consists of three improvements on convolutional neural networks: (1) squeeze‐and‐excitation mechanism was embedded into the the residual block of single layer to improve the performance of the classification, (2) softmax loss was replaced by the additive margin softmax loss to minimize intra‐class variance and maximize inter‐class variance, and (3) Adam optimizer was exploited to update iteratively the network parameters. Experiments on the Brain Stroke CT Image Dataset show that our additive margin network is quite effective to improve state‐of‐the‐art algorithms.
An improved acoustic transponder system via LCCLC impedance matching network and equalization control strategy
Authors: Yang Chunyuan , Zhang Shuhao , Wang Lei , Tian Wei , Zou Jie , Yang Chi , Lin Zehua
Published: November 2023

The underwater acoustic transducer (UAT) generates a large amount of reactive power during the operation, greatly limiting the output capability of the power amplifier. It is necessary to match the UAT and improve its load characteristics. The conventional design methods are not powerful enough to solve nonlinear or parameter‐sensitive problems, lacking enough convergence ability for the network design problem. This article proposes an optimization design method for LCCLC impedance matching network based on the improved chaos optimization algorithm and the corresponding equalization control strategy. First, the impedance model of the UAT is proposed, and then the matching principle of the LCCLC network is analyzed. Based on these, the optimization design for LCCLC network is described in detail. Then, to solve the problem of the calculation of the command signal, a control method based on the FIR filter principle is proposed. Finally, the proposed methods are verified by an experimental platform. The results show that the proposed design method and its corresponding control strategy successfully solve the matching and emission problems.
Monocular‐based collision avoidance system for unmanned aerial vehicle
Authors: Javaid Abdulrahman , Alduais Asaad , Shullar M. Hashem , Baroudi Uthman , Alnaser Mustafa
Published: November 2023

Obstacle avoidance based on a monocular camera is a challenging task due to the lack of 3D information for Unmanned Aerial Vehicle. Recent methods based on Convolutional Neural Networks for monocular depth estimation and obstacle detection become widely used. However, collision avoidance with depth estimation usually suffers from long computational time and low avoidance success rate. A new collision avoidance system is proposed which uses monocular camera and intelligent algorithm to avoid obstacles on real time processing. Several experiments have been conducted on crowded environments with several object types. The results show outstanding performance in terms of obstacles avoidance and system response time compared to contemporary approaches. This makes the proposed approach of high potential to be integrated in crowded environments.
On the Correct Generation of a Single Sound Mode in a Duct with Flow in COMSOL Multiphysics
Authors: Palchikovskiy Vadim , Beloborodov Sergei
Published: November 2023

The paper considers the statement of a single-mode sound generation in a duct with flow in the COMSOL Multiphysics finite element analysis software. Verification of the COMSOL Multiphysics solution is based on a comparison with the analytical solution of a single-mode propagation in an annular duct with uniform flow. The verified statement of a single-mode generation in COMSOL Multiphysics is then used to predict the noise of a JT15D turbofan engine in the far field. The results of computations are compared with JT15D static test data and known numerical simulation results.
Investigation of an Electrical System for Induction Heating of Cylindrical Parts with Different Sizes
Authors: Roginskaya Lyubov , Gorbunov Anton , Karimov Ruslan , Tereshkin Vladimir , Galiev Artem , Ivanov Alexander , Tanazly Ivan , Khakimyanov Marat , Berlov Mikhail
Published: November 2023

The article is devoted to the study of an electrical complex, including a high-frequency power source (2400 Hz), a heating inductor and cylindrical parts in the form of hollow cylinders (pipes). An autonomous electric machine power supply based on a high-speed magnetoelectric generator, which provides an output voltage of 950 V with a frequency of 2400 Hz, is considered. The features of inductors during heating of parts made of ferromagnetic steel and non-magnetic steel for low-temperature and high-temperature heating are presented. The results of inductor calculations are shown with a change in the diameters of processed pipes heated from a given inductor, which makes it possible to determine the areas of rational geometric parameters of parts that can be applied for a given inductor.
Application of Variational Methods for the Development of Optimal Multiparametric Models of Durability of Composite Materials and Structures under the Influence of Extreme Environmental Factors
Authors: Gusev Evgeny , Bakulin Vladimir
Published: November 2023

The increasing use of composites in such modern fields as aviation and space technology, shipbuilding, oil and gas industry, etc., determines the importance and relevance of developing effective high-precision methods for long-term forecasting of the defining characteristics of composite materials and structures made of them (residual life, strength, reliability, durability). A study of the promising possibilities of applying modern provisions of the kinetic theory of strength to develop optimal models of durability of composite materials and structures made of them under the influence of extreme environmental factors has been carried out. Based on the application and development of mathematical and computer modelling methods, effective methods for predicting the defining characteristics (residual life, strength) have been developed.
Scientific and Methodological Approaches for the Creation of Complex Diagnostic and Prognostics Systems of the Technical Condition of Units, Functional Systems and Power Structures of Helicopters
Authors: Belskiy Alexander , Dergachev Anton , Esipovich Olga
Published: November 2023

This article discusses the approaches and requirements for creating a comprehensive system of diagnostics and prognostics of the technical condition (CSDP TC) of the helicopter units and prerequisites for its further integration into the after-sales service system. The systems of monitoring and diagnostics of the technical condition of aircraft (HUMS) being used on helicopters, allow the determining of the operation parameters of the power plant and transmission units within the framework of the flight, as well as during operational maintenance. First of all, the HUMS systems were created for the purpose of servicing the helicopter units according to their technical condition (servicing «on condition»), but it is not possible to determine the residual resources of the units using these systems. The proposed system for predicting the technical condition of aggregates and functional systems permits the use of recorded helicopter flight parameters and parameters recorded by the HUMS system, and allows you to analyse the causes of defects and predict the residual life of aggregates, taking into account the dynamics of the development of defects before reaching the pre-failure state. Aggregation of the received information about the state of the units into the analytical - information system will optimize the material and technical support of operating organizations and provide developers of aviation equipment with information about the results of operation and use it as input data to improve the characteristics of the helicopter and its aggregates and the gradual transition to the creation of integrated systems of the CSDP TC.
On reachability of nominal aircraft flight dynamics by data-based control reconfiguration in case of actuator failures
Authors: Lapin Alexey , Zybin Eugene , Kosyanchuk Vladislav
Published: November 2023

The paper proposes the data-based method for reaching and maintaining the nominal aircraft flight dynamics in in case of actuator failures. The method is based on aircraft control reconfiguration and uses input and output data of flight control system only. The novelty of the proposed method lies in the reachability of nominal dynamics not in one, but in several discrete steps from the moment the reconfiguration starts. This makes it possible to ensure the reachability of the desired states for any controllability index of the linear discrete model, as well as to reduce the norms of reconfigured control vectors.
Modelling of Flow Characteristics of Main Rotor with Elliptical Root Section in Hover Mode
Authors: Kusyumov Sergey , Stepanov Robert , Kusyumov Alexander , Mirgazov Ruslan , Kritsky Boris
Published: November 2023

The modelling of a helicopter main rotor flow field in hover regime is being considered. The aerodynamic and aeroacoustics characteristics of two rotor models with different blade root geometries are compared. The first rotor has the shape of NACA0012 air foil in the root section of the blades. The second rotor model has an elliptic air foil in the root of the rotor blade. The amplitude and temporal characteristics of the aeroacoustics emission in near-field are investigated using Computational Fluid Dynamics (CFD).
Numerical Method of Designing an Automotive Driving Simulator for Training Drivers of Motor Vehicles
Authors: Rybak Larisa , Hurtasenko Andrey , Skitova Valeria , Voloshkin Artem
Published: November 2023

The paper presents the results of numerical simulation and design of an automotive driving simulator for training drivers of motor vehicles, which includes a six-stage dynamic mobility platform and an integrated system of virtual 3D models of real terrain using the software and hardware system “Route”. On the basis of the developed mathematical model of the dynamic platform, optimization of geometric parameters was performed, various configurations of the plat-form were analysed. Optimization was performed using the PSO (Particle Swarm Optimization) heuristic algorithm. A digital twin of the platform has been developed in the MSC Adams (Automated Dynamic Analysis of Mechanical Systems) software package. The resulting digital twin has the properties of complete identity with the real prototype. A prototype of an automotive driving simulator is presented, which is equipped with a system of virtual 3D models of real terrain. The results of mathematical modelling, as well as experimental studies of the prototype are presented, which made it possible to evaluate its capabilities and characteristics.
Modern Business Data Analysis and Data Visualization: A Real-Time Fusion Study
Authors: Priya J Suji , Vijayadharsan S. , Vasumathi A. , Rethika S.
Published: November 2023

In contemporary data science and analytics, data clustering is a small bucket that divides computation among various child nodes. The network’s capacity, specialized tools, and applications that cannot be trained quickly are among these methods’ drawbacks. In addition, the IoT-formed Big Data raw data can result in highly heterogeneous and unstructured data. This kind of data is difficult to analyze for real-time analytics. Real-time analytical challenges can be reduced by making computational values available locally rather than via distributed resources. Most of the time, it takes a long time and a lot of money to run these teams and skill sets. As an alternative, provide tools that let end users, professionals in the industry, and data scientists directly create and deploy complex data analytics application solutions with less technical knowledge. It highlights key advantages, disadvantages, and potential future directions by contrasting various current research and practice approaches to assisting end users with data analytics.
Design and Programming for Multicore machines: An Empirical study on time and effort required by programmer
Authors: Vinay T.R. , Satish E.G. , Megha J.
Published: November 2023

As the demand for high-performance computing continues to surge, harnessing the full potential of multicore architectures has become paramount. This paper explores a pragmatic approach to transition from sequential to parallel programming, capitalizing on the computational prowess of modern hardware systems. Recognizing the challenges of enforcing parallelism in early software development phases, we advocate for a focus on the implementation stage, where architects, designers, and developers can seamlessly introduce parallel constructs while preserving software integrity. To facilitate this paradigm shift, we introduce the “SDLC model with Parallel Constructs,” a modified Software Development Life Cycle (SDLC) framework comprising additional phases: “Parallel Constructs” and “Test Parallel Constructs.” This model empowers development teams to integrate parallel computing efficiently, enhancing performance and maintaining a structured development process. Our observations reveal intriguing dynamics. Initially, the single-threaded program outperforms its parallel counterpart for smaller datasets, but as data sizes grow, the parallel version demonstrates superior performance. We underscore the pivotal role of available CPU cores and task partitioning in determining efficiency. Our analysis also evaluates the programmer’s effort, measured by lines of code, needed for the transition. Leveraging OpenMP constructs streamlines this transition, reducing programming complexity.
Placentites ascendantes et non-ascendantes chez la jument : cas cliniques
Authors: Renaudin Catherine D. , Schnobrich Maria
Published: November 2023

Les placentites représentent la cause la plus importante d’avortement d’origine infectieuse chez la jument. Elles sont, dans la plupart des cas, d’origine ascendante (infection par voie cervicale) mais peuvent aussi être d’origine non-ascendante (infection par voie hématogène des leptospires ou des bactéries du genre Nocardia). Dans cet article, nous décrivons quatre cas cliniques de placentites. Deux sont d’origine ascendante : une est traitée avec succès et l’autre est suivie d’un avortement. Les deux autres sont d’origine non-ascendante : l’une est une placentite due aux bactéries du genre Leptopsira et l’autre aux bactéries du genre Nocardia. Les signes cliniques, le diagnostic par échographie transrectal et transabdominal, le traitement et le devenir de chaque cas sont décrits en détail de façon à donner une conduire à tenir au praticien équin face à un cas de placentite.
Causes génétiques d’avortement chez la jument
Authors: de Mestre Amanda M.
Published: November 2023

L’avortement survient le plus souvent au cours des deux premiers mois après la fécondation pendant la période d’organogenèse et de développement rapide du fœtus. Pour les vétérinaires, les avortements non-infectieux représentent depuis longtemps un véritable défi, car leurs causes sous-jacentes restent méconnues. Les progrès réalisés ces dernières années ont mis en lumière le rôle également important que jouent les troubles génétiques dans la détermination du sort des embryons. Chez la jument, trois troubles génétiques responsables d’avortement ont été décrits. Le plus courant est l’aneuploïdie, qui représente la perte ou le gain d’un chromosome entier. Elle a été identifiée dans les ovocytes des juments ainsi que dans le tissu des avortons et peut être diagnostiquée rétrospectivement à l’aide de tests génétiques réalisés sur les tissus des avortons. Les polymorphismes mononucléotidiques (SNP) sont plus rares et concernent deux gènes, PLOD1 et B3GALNT2. Ils ont été associés à des avortement survenant après 70 jours de gestation. L’accouplement d’un étalon porteur à une jument porteuse peut être à l’origine du syndrome du poulain fragile et de l’hydrocéphalie congénitale. La meilleure approche pour éviter de tels cas est de ne pas accoupler deux animaux porteurs. Les tests génétiques préimplantatoires commencent à se développer et pourraient représenter une approche alternative applicable aux embryons générés in vitro afin de ne pas transférer ceux renfermant des cellules aneuploïdes ou homozygotes pour les SNP. Enfin, les translocations structurelles du génome de la jument sont associées à des avortements répétés, et peuvent être diagnostiquées en envoyant un échantillon du sang de la jument à un laboratoire de génétique.
Nonlinear A*B+B*A Type Derivations on *-Algebras
Authors: ZHANG Fangjuan , ZHU Xinhong
Published: November 2023

Let [see formula in PDF] be a unital *-algebra with the unit [see formula in PDF] and a nontrivial projection [see formula in PDF]. Suppose that [see formula in PDF] satisfies [see formula in PDF] implies [see formula in PDF] and [see formula in PDF] implies [see formula in PDF] In this paper, we prove that [see formula in PDF] is a nonlinear [see formula in PDF] type derivation on [see formula in PDF] if and only if [see formula in PDF] is an additive *-derivation. This is then applied to prime *-algebra, von Neumann algebras with no central summands of type [see formula in PDF] factor von Neumann algebras and standard operator algebras.
Pre-Earthquake Ionospheric Anomalies of the Wenchuan Earthquake Studied with DEMETER Satellite
Authors: LU Jingming , HU Yaogai , JIANG Chunhua , ZHAO Zhengyu , ZHANG Yuannong
Published: November 2023

The pre-earthquake ionospheric anomalies in Wenchuan, China (21°-41°N, 93°-113°E) are studied and analyzed using the summer nighttime data from 2005 to 2008 measured by DEMETER (Detection of Electro-Magnetic Emission Transmitted from Earthquake Regions) satellite detectors ICE (Internet Communications Engine), IAP (In Application Programming), and ISL (Interior Switching Link). In this paper, we take the 12 May 2008 Wenchuan earthquake as an example, use the spatial gridding method to construct the background field over the epicenter, analyze the background characteristics of very low frequency (VLF) electric field components, low-energy particle parameters, and plasma parameters, and define the perturbation intensity index of each parameter before the earthquake to extract each parameter anomaly in both space and time dimensions. The results show that the background values of some ionospheric parameters in the Wenchuan area are related to spatial distribution. Moreover, anomalous enhancement of low-frequency electric field power spectral density, H+ concentration, He+ concentration and ion concentration with different intensities and anomalous weakening of ion temperature were extracted in the fifteen days before the Wenchuan earthquake. After filtering the data to exclude external interference, such as solar activity, this paper concludes that there is some connection between these anomalies and the Wenchuan earthquake.
Stationsäquivalente Behandlung (StäB) im Vergleich
mit vollstationärer Behandlung: 12-Monats-Follow-up Ergebnisse einer
mittels Propensity-Score gematchten retrospektiven
Kohortenstudie.
Authors: Nikolaidis Konstantinos , Weinmann Stefan , Döring Sophia , Fischer Lasse , Kleinschmidt Martin , Pfeiffer Jan , Multamäki Sari , Bühling-Schindowski Felix , Timm Jürgen , Bechdolf Andreas
Published: November 2023

Ziel der Studie Untersuchung der stationsäquivalenten
psychiatrischen Behandlung (StäB) im Vergleich zur
vollstationären psychiatrischen Behandlung hinsichtlich der
Inanspruchnahme psychiatrischer Leistungen im 12-Monats-Follow-Up-Zeitraum.

Methodik In einer retrospektiven Verlaufsstudie wurden 223 in StäB
behandelte Patient*innen (Interventionsgruppe/IG, n=223)
mit einer gematchten vollstationären Kontrollgruppe (KG, n=223)
anhand von Routinedaten verglichen.

Ergebnisse Die vollstationäre Wiederaufnahmerate in der IG war
signifikant um 11 % geringer als in der KG. Die Anzahl der
Behandlungstage in der IG war signifikant geringer als in der KG. In der IG
wurden erstmalig psychiatrische Leistungen der Institutsambulanz signifikant
häufiger in Anspruch genommen als in der KG.

Schlussfolgerung StäB scheint einer vollstationären
Behandlung überlegen zu sein, insbesondere im Hinblick auf das Risiko
einer erneuten vollstationären Aufnahme. Als Folge der StäB
lässt sich ein Effekt der Ambulantisierung beobachten.