bluuebunny/crossref_metadata_2025 huggingface dataset:
The design strain sensitivity of the schenberg spherical resonant antenna for gravitational waves
Authors: Liccardo V. , Lenzi C. H. , Marinho R. M. , Aguiar O. D. , Frajuca C. , da Silva Bortoli F. , Costa C. A.
Published: October 2023

The main purpose of this study is to review the Schenberg resonant antenna transfer function and to recalculate the antenna design strain sensitivity for gravitational waves. We consider the spherical antenna with six transducers in the semi dodecahedral configuration. When coupled to the antenna, the transducer-sphere system will work as a mass-spring system with three masses. The first one is the antenna effective mass for each quadrupole mode, the second one is the mass of the mechanical structure of the transducer first mechanical mode and the third one is the effective mass of the transducer membrane that makes one of the transducer microwave cavity walls. All the calculations are done for the degenerate (all the sphere quadrupole mode frequencies equal) and non-degenerate sphere cases. We have come to the conclusion that the “ultimate” sensitivity of an advanced version of Schenberg antenna (aSchenberg) is around the standard quantum limit (although the parametric transducers used could, in principle, surpass this limit). However, this sensitivity, in the frequency range where Schenberg operates, has already been achieved by the two aLIGOs in the O3 run, therefore, the only reasonable justification for remounting the Schenberg antenna and trying to place it in the sensitivity of the standard quantum limit would be to detect gravitational waves with another physical principle, different from the one used by laser interferometers. This other physical principle would be the absorption of the gravitational wave energy by a resonant mass like Schenberg.
The influence of different downstream plate length towards the flow-induced vibration on a square cylinder
Authors: Maruai Nurshafinaz Mohd , Ali Mohamed Sukri Mat , Zaki Sheikh Ahmad , Ardila-Rey Jorge Alfredo , Ishak Izuan Amin
Published: October 2023

The investigations of flow-induced vibration have been around for decades to solve many engineering problems related to structural element. In a hindsight of advancing technology of microelectronics devices, the implementation of flow-induced vibration for energy harvesting is intrigued. The influence of downstream flat plate to flow-induced vibration experienced by a square cylinder is discussed in this study to surpass the limitation of wind energy due to geographical constraints and climate change. The mechanism of flow-induced vibration experienced by a square cylinder with downstream flat plate is numerically simulated based on the unsteady Reynolds Navier–Stokes (URANS) flow field. The Reynolds number,Reassigned in this study is ranging between$$4.2 \times 10^3$$4.2×103–$$10.7 \times 10^3$$10.7×103and the mass damping ratio designated for the square cylinder is$$m^*\zeta$$m∗ζ= 2.48. The influence of three different flat plate lengths$$w/D = 0.5$$w/D=0.5, 1 and 3 is examined. Each case of different flat plate is explored for gap separation between the square cylinder and the plate in the range$$0.5 \leqslant G/D \leqslant 3$$0.5⩽G/D⩽3. Based on the numerical findings, the configuration of cylinder-flat plate with length$$w/D = 1$$w/D=1has shown the highest potential to harvest high energy at comparatively low reduced velocity.
A power quality disturbances classification method based on multi-modal parallel feature extraction
Authors: Tong Zhanbei , Zhong Jianwei , Li Jiajun , Wu Jianjun , Li Zhenwei
Published: October 2023

Power quality disturbance (PQD) is an important problem affecting the safe and stable operation of power system. Traditional single modal methods not only have a large number of parameters, but also usually focus on only one type of feature, resulting in incomplete information about the extracted features, and it is difficult to identify complex and diverse PQD types in modern power systems. In this regard, this paper proposes a multi-modal parallel feature extraction and classification model. The model pays attention to both temporal and spatial features of PQD, which effectively improves classification accuracy. And a lightweight approach is adopted to reduce the number of parameters of the model. The model uses Long Short Term Memory Neural Network (LSTM) to extract the temporal features of one-dimensional temporal modes of PQD. At the same time, a lightweight residual network (LResNet) is designed to extract the spatial features of the two-dimensional image modality of PQD. Then, the two types of features are fused into multi-modal spatio-temporal features (MSTF). Finally, MSTF is input to a Support Vector Machine (SVM) for classification. Simulation results of 20 PQD signals show that the classification accuracy of the multi-modal model proposed in this paper reaches 99.94%, and the parameter quantity is only 0.08 MB. Compared with ResNet18, the accuracy of the proposed method has been improved by 2.55% and the number of parameters has been reduced by 99.25%.
Species-specific microRNA discovery and target prediction in the soybean cyst nematode
Authors: Ajila Victoria , Colley Laura , Ste-Croix Dave T. , Nissan Nour , Cober Elroy R. , Mimee Benjamin , Samanfar Bahram , Green James R.
Published: October 2023

The soybean cyst nematode (SCN) is a devastating pathogen for economic and food security considerations. Although the SCN genome has recently been sequenced, the presence of any miRNA has not been systematically explored and reported. This paper describes the development of a species-specific SCN miRNA discovery pipeline and its application to the SCN genome. Experiments on well-documented model nematodes (Caenorhabditis elegans and Pristionchus pacificus) are used to tune the pipeline’s hyperparameters and confirm its recall and precision. Application to the SCN genome identifies 3342 high-confidence putative SCN miRNA. Prediction specificity within SCN is confirmed by applying the pipeline to RNA hairpins from known exonic regions of the SCN genome (i.e., sequences known to not be miRNA). Prediction recall is confirmed by building a positive control set of SCN miRNA, based on a limited deep sequencing experiment. Interestingly, a number of novel miRNA are predicted to be encoded within the intronic regions of effector genes, known to be involved in SCN parasitism, suggesting that these miRNA may also be involved in the infection process or virulence. Beyond miRNA discovery, gene targets within SCN are predicted for all high-confidence novel miRNA using a miRNA:mRNA target prediction system. Lastly, cross-kingdom miRNA targeting is investigated, where putative soybean mRNA targets are identified for novel SCN miRNA. All predicted miRNA and gene targets are made available in appendix and through a Borealis DataVerse open repository (https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/30DEXA).
A novel fractional-order dead-time compensating controller for the wireless networks
Authors: Devan P. Arun Mozhi , Ibrahim Rosdiazli , Omar Madiah , Bingi Kishore , Nagarajapandian M. , Abdulrab Hakim
Published: October 2023

Wireless technology is becoming increasingly critical in industrial environments in recent years, and the popular wireless standards are WirelessHART, ZigBee, WLAN and ISA100.11a, commonly used in closed-loop systems. However, wireless networks in closed-loop control experience packet loss or drops, system delay and data threats, leading to process instability and catastrophic system failure. To prevent such issues, it is necessary to implement dead-time compensation control. Traditional techniques like model predictive and predictive PI controllers are frequently employed. However, these methods’ performance is sluggish in wireless networks, with processes having long dead times and set-point variations, potentially affecting network and process performance. Therefore, this paper proposes a fractional calculus-based predictive PI compensator for wired and wireless networks in the process control industries. The proposed technique has been simulated and evaluated on industrial process models, including pressure, flow, and temperature, where measurement and control are carried out wirelessly. The wireless network’s performance has been evaluated based on packet loss, reduced throughput, and increased system latency. The proposed compensator outperformed traditional methods, demonstrating superior set-point tracking, disturbance rejection, and delay compensation characteristics in the performance evaluations of the first, second, and third-order systems. Overall, the findings indicate that the proposed compensator enhances wireless networks’ performance in the process control industry and improves system stability and reliability by reducing almost half of the overshoot and settling an average of 8.3927% faster than the conventional techniques in most of the systems.
Human perception of spatial frequency varies with stimulus orientation and location in the visual field
Authors: Kirsch Wladimir , Kunde Wilfried
Published: October 2023

Neuroanatomical variations across the visual field of human observers go along with corresponding variations of the perceived coarseness of visual stimuli. Here we show that horizontal gratings are perceived as having lower spatial frequency than vertical gratings when occurring along the horizontal meridian of the visual field, whereas gratings occurring along the vertical meridian show the exact opposite effect. This finding indicates a new peculiarity of processes operating along the cardinal axes of the visual field.
Evidence of elevated heavy metals concentrations in wild and farmed sugar kelp (Saccharina latissima) in New England
Authors: Shaughnessy Brianna K. , Jackson Brian P. , Byrnes Jarrett E. K.
Published: October 2023

Seaweed farming in the United States is gaining significant financial and political support due to prospects to sustainably expand domestic economies with environmentally friendly products. Several networks are seeking appropriate synthesis of available science to both inform policy and substantiate the sector’s sustainability claims. Significant knowledge gaps remain regarding seaweed-specific food hazards and their mitigation; a resource-intensive challenge that can inhibit sustainable policies. This is particularly concerning for rapidly expanding Saccharina latissima (sugar kelp) crops, a brown seaweed that is known to accumulate heavy metals linked to food hazards. Here, we present baseline information about concentrations of arsenic, cadmium, lead, and mercury, in both wild and farmed sugar kelp from the New England region. We interpret our findings based on proximity to potential sources of contamination, location on blade, and available heavy metals standards. Contrary to our expectations, high concentrations were widespread in both wild and farmed populations, regardless of proximity to contamination. We find, like others, that cadmium and arsenic consistently reach levels of regulatory concern, and that dried seaweeds could harbor higher concentrations compared to raw products. We also share unique findings that suggest some toxins concentrate at the base of kelp blades. Our results are one step towards aggregating vital data for the region to expand its seaweed farming footprint.
Females exhibit smaller volumes of brain activation and lower inter-subject variability during motor tasks
Authors: Andrushko Justin W. , Rinat Shie , Kirby Eric D. , Dahlby Julia , Ekstrand Chelsea , Boyd Lara A.
Published: October 2023

Past work has shown that brain structure and function differ between females and males. Males have larger cortical and sub-cortical volume and surface area (both total and subregional), while females have greater cortical thickness in most brain regions. Functional differences are also reported in the literature, yet to date little work has systematically considered whether patterns of brain activity indexed with functional magnetic resonance imaging (fMRI) differ between females and males. The current study sought to remediate this issue by employing task-based whole brain motor mapping analyses using an openly available dataset. We tested differences in patterns of functional brain activity associated with 12 voluntary movement patterns in females versus males. Results suggest that females exhibited smaller volumes of brain activation across all 12 movement tasks, and lower patterns of variability in 10 of the 12 movements. We also observed that females had greater cortical thickness, which is in alignment with previous analyses of structural differences. Overall, these findings provide a basis for considering biological sex in future fMRI research and provide a foundation of understanding differences in how neurological pathologies present in females vs males.
Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest
Authors: Cannet Arnaud , Simon-Chane Camille , Histace Aymeric , Akhoundi Mohammad , Romain Olivier , Souchaud Marc , Jacob Pierre , Sereno Darian , Gouagna Louis-Clément , Bousses Philippe , Mathieu-Daude Françoise , Sereno Denis
Published: October 2023

Hematophagous insects belonging to the Aedes genus are proven vectors of viral and filarial pathogens of medical interest. Aedes albopictus is an increasingly important vector because of its rapid worldwide expansion. In the context of global climate change and the emergence of zoonotic infectious diseases, identification tools with field application are required to strengthen efforts in the entomological survey of arthropods with medical interest. Large scales and proactive entomological surveys of Aedes mosquitoes need skilled technicians and/or costly technical equipment, further puzzled by the vast amount of named species. In this study, we developed an automatic classification system of Aedes species by taking advantage of the species-specific marker displayed by Wing Interferential Patterns. A database holding 494 photomicrographs of 24 Aedes spp. from which those documented with more than ten pictures have undergone a deep learning methodology to train a convolutional neural network and test its accuracy to classify samples at the genus, subgenus, and species taxonomic levels. We recorded an accuracy of 95% at the genus level and > 85% for two (Ochlerotatus and Stegomyia) out of three subgenera tested. Lastly, eight were accurately classified among the 10 Aedes sp. that have undergone a training process with an overall accuracy of > 70%. Altogether, these results demonstrate the potential of this methodology for Aedes species identification and will represent a tool for the future implementation of large-scale entomological surveys.
MCM10, a potential diagnostic, immunological, and prognostic biomarker in pan-cancer
Authors: Chen Dengwang , Zhong Na , Guo Zhanwen , Ji Qinglu , Dong Zixuan , Zheng Jishan , Ma Yunyan , Zhang Jidong , He Yuqi , Song Tao
Published: October 2023

Microchromosome maintenance (MCM) proteins are a number of nuclear proteins with significant roles in the development of cancer by influencing the process of cellular DNA replication. Of the MCM protein family, MCM10 is a crucial member that maintains the stability and extension of DNA replication forks during DNA replication and is significantly overexpressed in a variety of cancer tissues, regulating the biological behaviour of cancer cells. But little is understood about MCM10’s functional role and regulatory mechanisms in a range of malignancies. We investigate the impact of MCM10 in human cancers by analyzing data from databases like the Gene Expression Profiling Interaction Analysis (GEPIA2), Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA), among others. Possible relationships between MCM10 and clinical staging, diagnosis, prognosis, Mutation burden (TMB), microsatellite instability (MSI), immunological checkpoints, DNA methylation, and tumor stemness were identified. The findings demonstrated that MCM10 expression was elevated in the majority of cancer types and was connected to tumor dryness, immunocytic infiltration, immunological checkpoints, TMB and MSI. Functional enrichment analysis in multiple tumors also identified possible pathways of MCM10 involvement in tumorigenesis. We also discovered promising MCM10-targeting chemotherapeutic drugs. In conclusion, MCM10 may be a desirable pan-cancer biomarker and offer fresh perspectives on cancer therapy.
Effects of combined training or moderate intensity continuous training during a 3-week multidisciplinary body weight reduction program on cardiorespiratory fitness, body composition, and substrate oxidation rate in adolescents with obesity
Authors: D’Alleva Mattia , Lazzer Stefano , Tringali Gabriella , De Micheli Roberta , Bondesan Adele , Abbruzzese Laura , Sartorio Alessandro
Published: October 2023

This study aimed to investigate the effects of combined training (COMB, a combination of moderate-intensity continuous training-MICT and high-intensity interval training-HIIT) vs. continuous MICT administered during a 3-week in-hospital body weight reduction program (BWRP) on body composition, physical capacities, and substrate oxidation in adolescents with obesity. The 3-week in-hospital BWRP entailed moderate energy restriction, nutritional education, psychological counseling, and two different protocols of physical exercise. Twenty-one male adolescents with obesity (mean age: 16.1 ± 1.5 years; mean body mass index [BMI] 37.8 ± 4.5 kg m−2) participated in this randomized control trial study (n:10 for COMB, n:11 MICT), attending ~ 30 training sessions. The COMB group performed 3 repetitions of 2 min at 95% of peak oxygen uptake (V′O2 peak) (e.g., HIIT ≤ 20%), followed by 30 min at 60% of V′O2 peak (e.g., MICT ≥ 80%). Body composition, V′O2 peak, basal metabolic rate (BMR), energy expenditure, and substrate oxidation rate were measured during the first week (W0) and at the end of three weeks of training (W3). The two training programs were equivalent in caloric expenditure. At W3, body mass (BM) and fat mass (FM) decreased significantly in both groups, although the decrease in BM was significantly greater in the MICT group than in the COMB group (BM: − 5.0 ± 1.2 vs. − 8.4 ± 1.5, P < 0.05; FM: − 4.3 ± 3.0 vs. − 4.2 ± 1.9 kg, P < 0.05). V′O2 peak increased only in the COMB by a mean of 0.28 ± 0.22 L min−1 (P < 0.05). The maximal fat oxidation rate (MFO) increased only in the COMB group by 0.04 ± 0.03 g min−1 (P < 0.05). COMB training represents a viable alternative to MICT for improving anthropometric characteristics, physical capacities, and MFO in adolescents with obesity during a 3-week in-hospital BWRP.
Microbiome variations among age classes and diets of captive Asian elephants (Elephas maximus) in Thailand using full-length 16S rRNA nanopore sequencing
Authors: Klinsawat Worata , Uthaipaisanwong Pichahpuk , Jenjaroenpun Piroon , Sripiboon Supaphen , Wongsurawat Thidathip , Kusonmano Kanthida
Published: October 2023

Asian elephant (Elephas maximus) is the national symbol of Thailand and linked to Thai history and culture for centuries. The elephant welfare improvement is one of the major components to achieve sustainable captive management. Microbiome inhabiting digestive tracts have been shown with symbiotic relations to host health. This work provided high-resolution microbiome profiles of 32 captive elephants at a species level by utilizing full-length 16S rRNA gene nanopore sequencing. Eleven common uncultured bacterial species were found across elephants fed with solid food including uncultured bacterium Rikenellaceae RC9 gut group, Kiritimatiellae WCHB1-41, Phascolarctobacterium, Oscillospiraceae NK4A214 group, Christensenellaceae R-7 group, Oribacterium, Oscillospirales UCG-010, Lachnospiraceae, Bacteroidales F082, uncultured rumen Rikenellaceae RC9 gut group, and Lachnospiraceae AC2044 group. We observed microbiome shifts along the age classes of baby (0–2 years), juvenile (2–10 years), and adult (> 10 years). Interestingly, we found distinct microbiome profiles among adult elephants fed with a local palm, Caryota urens, as a supplement. Potential beneficial microbes have been revealed according to the age classes and feed diets. The retrieved microbiome data could be provided as good baseline microbial profiles for monitoring elephant health, suggesting further studies towards dietary selection suitable for each age class and the use of local supplementary diets.
Developing a risk prediction tool for lung cancer in Kent and Medway, England: cohort study using linked data
Authors: Howell David , Buttery Ross , Badrinath Padmanabhan , George Abraham , Hariprasad Rithvik , Vousden Ian , George Tina , Finnis Cathy
Published: October 2023

Background

Lung cancer has the poorest survival due to late diagnosis and there is no universal screening. Hence, early detection is crucial. Our objective was to develop a lung cancer risk prediction tool at a population level.

Methods

We used a large place-based linked data set from a local health system in southeast England which contained extensive information covering demographic, socioeconomic, lifestyle, health, and care service utilisation. We exploited the power of Machine Learning to derive risk scores using linear regression modelling. Tens of thousands of model runs were undertaken to identify attributes which predicted the risk of lung cancer.

Results

Initially, 16 attributes were identified. A final combination of seven attributes was chosen based on the number of cancers detected which formed the Kent & Medway lung cancer risk prediction tool. This was then compared with the criteria used in the wider Targeted Lung Health Checks programme. The prediction tool outperformed by detecting 822 cases compared to 581 by the lung check programme currently in operation.

Conclusion

We have demonstrated the useful application of Machine Learning in developing a risk score for lung cancer and discuss its clinical applicability.
Robust nontarget DNA-triggered catalytic hairpin assembly amplification strategy for the improved sensing of microRNA in complex biological matrices
Authors: Yang Ruining , Liu Xingfen , Hu Junbo , Xu Hui , Song Jixiang , Zhou Huiyu , Li Meixing , Huang Yanqin , Zhang Lei , Fan Quli
Published: October 2023

A simple and robust fluorescence strategy based on a nontarget DNA-triggered catalytic hairpin assembly (CHA) for the improved detection of microRNA-21 in a complex matrix is reported.
A dual-mode strategy based on β-galactosidase and target-induced DNA polymerase protection for transcription factor detection using colorimetry and a glucose meter
Authors: Qian Xinmei , Zhang Heng , Zheng Mingyu , Li Chunxiang , Wang Jinglun , Huang Haowen , Deng Keqin
Published: October 2023

β-Galactosidase was utilized for dual-signal transduction and the HCR-CRISPR/Cas12a system was used for cascade signal amplification. A dual-mode strategy was realized using a glucose meter and colorimetry for transcription factor detection.
Precision nanoengineering for functional self-assemblies across length scales
Authors: Nonappa
Published: October 2023

This feature article highlights the potential of precision nanoengineering in enabling functional self-assemblies across length scales using atomically precise nanoparticles.
Construction of an efficient artificial light-harvesting system based on hyperbranched polyethyleneimine and improvement of photocatalytic performance
Authors: Li Xin-Long , Zhang Rong-Zhen , Niu Kai-Kai , Dong Rui-Zhi , Liu Hui , Yu Sheng-Sheng , Wang Yue-Bo , Xing Ling-Bao
Published: October 2023

An artificial light-harvesting system was developed by employing the electrostatic co-assembly of TPE-BSBO and PEI, which can be used as photocatalysts for photocatalytic oxidation reactions.
Central unit hetero-di-halogenation of acceptors enables organic solar cells with 19% efficiency
Authors: Liang Huazhe , Chen Hongbin , Zou Yalu , Zhang Yunxin , Guo Yaxiao , Cao Xiangjian , Bi Xingqi , Yao Zhaoyang , Wan Xiangjian , Chen Yongsheng
Published: October 2023

To gain the complementary advantages of two halogens, three CH-series acceptors with hetero-di-halogenated central units, named CH-FC, CH-FB and CH-CB, are constructed, and an attractive PCE approaching 19% is afforded by CH-FB-based OSCs.
Tetracoordinate Co(ii) complexes with semi-coordination as stable single-ion magnets for deposition on graphene
Authors: Giraldo Jorge Navarro , Hrubý Jakub , Vavrečková Šárka , Fellner Ondřej F. , Havlíček Lubomír , Henry DaVonne , de Silva Shehan , Herchel Radovan , Bartoš Miroslav , Šalitroš Ivan , Santana Vinicius T. , Barbara Paola , Nemec Ivan , Neugebauer Petr
Published: October 2023

We present a theoretical and experimental study on tetracoordinate Co(ii)-based complexes featuring semi-coordination interactions. We investigate their magnetic properties and thin films formed by their deposition onto graphene surfaces.
Two-gap-like anisotropic superconductivity in a bulk boron kagome lattice
Authors: Zeng Shuming , Li Geng , Zhao Yinchang
Published: October 2023

Superconducting gaps and superconducting density of states for the bulk boron kagome lattice.
Surface doping of rubrene single crystals by molecular electron donors and acceptors
Authors: Gatsios Christos , Opitz Andreas , Lungwitz Dominique , Mansour Ahmed E. , Schultz Thorsten , Shin Dongguen , Hammer Sebastian , Pflaum Jens , Zhang Yadong , Barlow Stephen , Marder Seth R. , Koch Norbert
Published: October 2023

Surface transfer doping with molecular donors/acceptors enables controlling the Fermi level position of rubrene single crystal surfaces without disrupting the electronic band structure.
Conformational diversity and environmental implications of trans-2-pentenal
Authors: Park Sung Man , Kwon Chan Ho
Published: October 2023

This study makes a significant contribution to our understanding of the conformational intricacies, ionization properties, and relative populations of distinct conformers within trans-2PA.
Direct coating of gold nanolayers to enhance the oxidation resistance of copper nanowire flexible transparent conductive films
Authors: Xiong Quan , Zhu Xingzhong , Xu Juan , Yuan Weiqiang , Zhang Jizhe , Kan Caixia
Published: October 2023

Highly stable and flexible transparent conductive films are achieved through the application of gold nanolayers onto copper nanowires.
Metal–organic frameworks (MOFs) for energy production and gaseous fuel and electrochemical energy storage applications
Authors: Shanmugam Mariyappan , Agamendran Nithish , Sekar Karthikeyan , Natarajan Thillai Sivakumar
Published: October 2023

The increasing energy demands in society and industrial sectors have inspired the search for alternative energy sources that are renewable and sustainable, also driving the development of clean energy storage and delivery systems.
Accelerated lithium-ion diffusion via a ligand ‘hopping’ mechanism in lithium enriched solvate ionic liquids
Authors: Harte Timothy , Dharmasiri Bhagya , Dobhal Garima S. , Walsh Tiffany R. , Henderson Luke C.
Published: October 2023

Herein the properties of SILs with increased LiTFSI (LiTFSA) concentration, with ligand 1 : >1 LiTFSI stoichiometric ratios, are presented.
Interplay between anti–anti and syn–anti conformations of thiourea modulating ON–OFF catalysis
Authors: Benny Renitta , De Soumen
Published: October 2023

Attaching phenanthroline to thiourea locks the conformation to anti–anti, thereby speeding up the Michael Addition. Adding copper(i)-loaded phenanthroline alters it to syn–anti via HETPHEN-type complex formation, thereby switching off the reaction.
Improving photocatalytic hydrogen production by switching charge kinetics from type-I to Z-scheme via defective engineering
Authors: Wang Shuang , Yao Mengjie , Cheng Yuye , Ding Kai , Dou Minghao , Shao Hongyu , Xue Shuaitong , Li Shenjie , Chen Yanyan
Published: October 2023

ZnxCd1−xS@ZnS-NiS p–n junction heterostructures with Vzn defect were prepared to explore the charge kinetics on the photocatalytic hydrogen production properties.
Mechanistic insights into nitric oxide oxygenation (NOO) reactions of {CrNO}5and {CoNO}8
Authors: C. S. Akshaya Keerthi , Das Sandip , Kulbir  , Bhardwaj Prabhakar , Sk Md Palashuddin , Kumar Pankaj
Published: October 2023

Here, we report the nitric oxide oxygenation (NOO) reactions of two distinct metal nitrosyls {Co–nitrosyl (S= 0)vs. Cr–nitrosyl (S= 1/2)}.
Interfacial process engineering of a co-grinding agent for recycling spent lithium-ion batteries
Authors: Ren Jie , Zhang Zhewen , Chen Zikang , Wan Li , Shi Kaixiang , Zeng Xiaoyuan , Li Junhao , Liu Quanbing
Published: October 2023

The closed-loop recycling process of used lithium-ion batteries.
Optimization of analytical method greenness scores: a case study of amino acid enantioseparations with carbonated aqueous systems
Authors: Handlovic Troy T. , Farooq Wahab M. , Glass Bailey C. , Armstrong Daniel W.
Published: October 2023

Analytical and preparative separation techniques, although perceived as less detrimental compared to industrial manufacturing processes, present a substantial concealed environmental threat.
Microfluidics in the eye: a review of glaucoma implants from an engineering perspective
Authors: Fang Zecong , Bi Shuzhen , Brown J. David , Chen Junyi , Pan Tingrui
Published: October 2023

We review the natural pathways and glaucoma implant-based artificial pathways of aqueous humour in the eye from a microfluidic perspective.
Facile and eco-friendly synthesis of hydrogen bonding-rich bio-based bisbenzoxazine resins with low surface free energy, strong adhesion strength and high thermal stability
Authors: Lu Yin , Li Nan , Peng Yaliang , Mohamed Mohamed Gamal , Kuo Shiao-Wei , Zhang Kan
Published: October 2023

A facile and sustainable synthetic strategy has been designed to achieve a series of hydrogen bonding-rich bio-benzoxazine resins possessing a set of properties that are highly desirable in industrial applications.
Boosting the output performance of triboelectric nanogenerators via surface engineering and structure designing
Authors: Wu Lingang , Xue Pan , Fang Shize , Gao Meng , Yan Xiaojie , Jiang Hong , Liu Yang , Wang Huihui , Liu Hongbin , Cheng Bowen
Published: October 2023

Various surface morphologies and structures in triboelectric nanogenerators with the resulting boosted output performance are reviewed comprehensively.
In silicoscreening applied in drug discovery: T001-10026247 as a novel fourth-generation EGFR inhibitor
Authors: Xu Shidi , Huang Xiaoling , An Yufeng , Lv Xinya , Xu Shan , Wang Linxiao , Zhu Wufu
Published: October 2023

In silicoscreening applied in drug discovery: T001-10026247 as a novel fourth-generation EGFR inhibitor.
Synthesis, spectral characterization, and catalytic efficiency of aroylhydrazone-based Cu(ii) complexes
Authors: Nishana Lahinakillathu , Sakthivel Ayyamperumal , Kurup M. R. Prathapachandra , Damodaran Krishna K. , Kulandaisamy Antonysamy , Maheswaran Sithambaresan
Published: October 2023

Copper(ii) complexes of tridentate aroylhydrazones were synthesized. The prepared copper complexes were found to have potential for cinnamyl alcohol oxidation.
Synthesis of novel lignin model compounds labeled with alkynyl and their potential application
Authors: Ye Zhishang , Yao Lan , Yoo Chang Geun , Liu Wei , Meng Xianzhi , Xiong Yan , Yang Haitao
Published: October 2023

Vanillin was applied to yield 2-O-propargyl coniferin, onto which alkynyl groups could be introduced at ortho position of the benzene ring, thus avoiding changes in the structure of the lignin side chains and functional groups on the benzene ring.
Physicochemical parameters and modes of interaction associated with the micelle formation of a mixture of tetradecyltrimethylammonium bromide and cefixime trihydrate: effects of hydrotropes and temperature
Authors: Al Amin Hossain Md , Islam Tamanna , Khan Javed Masood , Joy Md. Tuhinur R. , Mahbub Shamim , Khan Salman A. , Ahmad Anis , Rahman Mohammad Majibur , Anamul Hoque Md. , Kabir Shariff E.
Published: October 2023

TTAB surfactant and CMT drug interaction in presence of NaBz.
Bi/BiOI/carbon quantum dots nano-sheets with superior photocatalysis
Authors: Zhao Chenhui , Zhao Zhijie , Liang Ying , Fu Jiangfeng
Published: October 2023

A novel Bi/BiOI/CQDs microsphere material was successfully synthesized. The material exhibited enhanced photoactivity under visible light irradiation and exhibited rapid separation of photoexcited electron–holes. This Bi/BiOI/CQDs microstructure is affected by introduction ratio of CQDs.
Microfluidic paper-based colorimetric quantification of malondialdehyde using silver nanoprism toward on-site biomedical analysis: a new platform for the chemical sensing and biosensing of oxidative stress
Authors: Bahavarnia Farnaz , Baghban Hossein Navay , Eskandani Morteza , Hasanzadeh Mohammad
Published: October 2023

Malondialdehyde (MDA) is a critical product of polyunsaturated adipose acid peroxidation and represents a common biomarker of oxidative stress.
Impact of library input on the hit discovery rate in DNA-encoded chemical library selections
Authors: Puglioli Sara , Oehler Sebastian , Prati Luca , Scheuermann Jörg , Bassi Gabriele , Cazzamalli Samuele , Neri Dario , Favalli Nicholas
Published: October 2023

Exploring the impact of varied DNA-encoded chemical library (DEL) inputs on hit discovery rates in DEL screenings.
Anisotropic short-range attractions precisely model branched erythrocyte aggregates
Authors: Yadav Megha , Vanshika  , Singh Chamkor
Published: October 2023

In the absence of driving forces, suspensions of RBCs in blood plasma often form branched networks which existing simulations fail to replicate exactly. We posit that anisotropic attractions can precisely generate such branched structures at decreased depletion range.
Developing HSS iteration schemes for solving the quadratic matrix equation AX2+BX+C=0$AX^{2}+BX+C=0$
Authors: Erfanifar Raziyeh , Hajarian Masoud
Published: October 2023

The quadratic matrix equation (QME)
occurs in the branches such as the quadratic eigenvalue problems and quasi‐birth‐death processes. Also, the numerical solution of QMEs is an essential step in many computational methods for linear‐quadratic and robust control, filtering, controller order reduction, inner‐outer factorization, spectral factorization, and other applications. In this study, schemes are presented to solve the QME based on the Hermitian and skew‐Hermitian splitting (HSS). It is shown that the proposed schemes converge to the solutions of the QME. Finally, some examples are solved to discover the application of the schemes in comparison with Newton's method.
IoUNet++: Spatial cross‐layer interaction‐based bounding box regression for visual tracking
Authors: Wang Shilei , Han Yamin , Sun Baozhen , Ning Jifeng
Published: October 2023

Accurate target prediction, especially bounding box estimation, is a key problem in visual tracking. Many recently proposed trackers adopt the refinement module called IoU predictor by designing a high‐level modulation vector to achieve bounding box estimation. However, due to the lack of spatial information that is important for precise box estimation, this simple one‐dimensional modulation vector has limited refinement representation capability. In this study, a novel IoU predictor (IoUNet++) is designed to achieve more accurate bounding box estimation by investigating spatial matching with a spatial cross‐layer interaction model. Rather than using a one‐dimensional modulation vector to generate representations of the candidate bounding box for overlap prediction, this paper first extracts and fuses multi‐level features of the target to generate template kernel with spatial description capability. Then, when aggregating the features of the template and the search region, the depthwise separable convolution correlation is adopted to preserve the spatial matching between the target feature and candidate feature, which makes their IoUNet++ network have better template representation and better fusion than the original network. The proposed IoUNet++ method with a plug‐and‐play style is applied to a series of strengthened trackers including DiMP++, SuperDiMP++ and SuperDIMP_AR++, which achieve consistent performance gain. Finally, experiments conducted on six popular tracking benchmarks show that their trackers outperformed the state‐of‐the‐art trackers with significantly fewer training epochs.
Adaptively optimal energy management for integrated hydrogen energy systems
Authors: Li Hengyi , Qin Boyu , Zhao Yuhang , Li Fan , Wu Xiaoman , Ding Tao
Published: October 2023

Integrated hydrogen energy systems (IHESs) have become attractive alternatives to cope with the depletion of fossil fuels and increasingly severe climate change problems. This paper proposes an adaptively optimal energy scheduling method based on deep deterministic policy gradient (DDPG) to improve the operational efficiency of IHES. The optimal scheduling problem is formulated as a Markov decision process problem with action space, environmental states, and action‐value function. The DDPG‐based optimal energy management algorithm with actor‐critic structure is proposed based on policy gradients and neural networks. Through actor‐critic network training and policy iteration, the energy management scheme can be adaptively optimized according to the dynamic responses of IHES. The benefits of the proposed algorithm are analysed through time‐domain simulations, and the scheduling robustness under different uncertain conditions is verified.
A risk‐averse framework for techno‐economic analysis and size optimization of an off‐grid hybrid energy system
Authors: Aramoon Azim , Askarzadeh Alireza , Ghaffari Abolfazl
Published: October 2023

In the power system, optimal sizing of hybrid energy systems (HESs) is a vital and challenging issue. Optimal sizing leads to designing a cost‐effective and reliable power generation system. In such a problem, modelling the load uncertainty helps the planner to make appropriate decisions for optimizing the performance of HESs against possible changes of the electrical load. In this paper, techno‐economic and optimal sizing of an off‐grid photovoltaic‐diesel generator‐fuel cell (PV‐diesel‐FC) HES is investigated in two frameworks, risk‐neutral strategy and risk‐averse strategy, where the load uncertainty is modelled by information gap decision theory. To size the HES, objective function is defined as the total net present cost and with respect to a desirable loss of power supply probability, size of the system components is optimally determined. In the risk‐averse framework, the sizing problem is solved with different critical tolerance levels of the objective function and the results are evaluated. Over the case study, simulation results show that at risk‐averse framework, optimal combination of PV, diesel generator and FC leads to a cost‐effective and reliable HES.
Neue Therapieansätze bei chronischer Insomnie
Authors: Brandt Moritz , Sehr Tony
Published: October 2023

Die Insomnie stellt eines der häufigsten Krankheitsbilder mit
weitreichenden gesundheitlichen und sozioökonomischen Folgen dar. Nach
längerer Stagnation konnten in den letzten Jahren wieder
vielversprechende Fortschritte in der nichtpharmakologischen und
pharmakologischen Behandlung von Patienten mit chronischer Insomnie verzeichnet
werden. Der Artikel beleuchtet diese neuen Therapieansätze im Kontext
etablierter Behandlungsmöglichkeiten.
Update zur Glukosemessung
Authors: Thomas Andreas
Published: October 2023

Die Glukosemessung hat sich zu einer Säule der Diabetesbehandlung entwickelt. Speziell die kontinuierliche Glukosemessung (Continuous Glucose Monitoring; CGM). zählt zu den größten Innovationen in den letzten Jahrzehnten mit einem deutlich größeren Einfluss auf das Diabetesmanagement als beispielsweise die Entwicklung der Insulinanaloga. Vergleichbar ist dies vielleicht noch mit der Entwicklung der automatisierten Insulinabgabe. Allerdings ist CGM bei den AID-Systemen (AID – automated insulin delivery; automatische Insulindosierung) immanenter Bestandteil. Auf zuverlässige Systeme für die nicht-invasive Glukosemessung muss noch gewartet werden. Auch diese würden zur weiteren Entlastung der Diabetespatienten beitragen.
Frühdiagnostik und medikamentöse Therapiestrategie
bei rheumatischen Erkrankungen
Authors: Alten Rieke , Mischkewitz Max
Published: October 2023

Der Formenkreis rheumatischer Erkrankungen umfasst mehr als 300 Krankheitsbilder in
jedem Lebensalter. Diese werden grundsätzlich in entzündliche und
nicht entzündliche Erkrankungen unterteilt. Da es sich um komplexe und
multisystemische Krankheitsbilder handelt, sollten Diagnosestellung und Therapie
immer von einem Rheumatologen durchgeführt werden – je nach Diagnose
in Zusammenarbeit auch mit anderen Fachdisziplinen.
Das rheumatische Handgelenk
Authors: Lautenbach Martin , Tenbrock Arne , Url Matthias , Weber Stefan , Bock Markus
Published: October 2023

Hohe Inzidenzen der Arthritiden und progrediente Destruktionen führen,
trotz frühestmöglichem Einsatz hochwirksamer Basistherapeutika
in modernen Therapiekonzepten, zu schwerwiegenden Deformierungen und
resultierenden Funktionsverlusten im Bereich der Hand. Das ist immer noch ein
häufiges Problem für Patient*innen mit rheumatischen
Erkrankungen. Obwohl die Anzahl der präventiven Eingriffe in den
Rheumahandzentren vor allem aufgrund der wesentlich verbesserten
medikamentösen Therapieformen zurückgeht, ist eine operative
Therapie im Bereich der Hand oft erforderlich.
Update zur Phytotherapie bei Rückenschmerzen
Authors: Vlachojannis Julia , Chrubasik-Hausmann Sigrun
Published: October 2023

Mehr als 20 % der Bevölkerung leiden an chronischen unspezifischen Rückenschmerzen. Bei einer gemeinsamen Auswertung von Guidelines aus 15 Ländern ergab sich eine Therapieempfehlung für nichtsteroidale Antirheumatika, Antidepressiva zusätzlich zu Gymnastik und psychosozialer Therapie. Doch wegen möglicher Nebenwirkungen unter Einnahme der Synthetika sollten zuvor pflanzliche Medikamente versucht werden. Als basale pflanzliche Entzündungshemmer stehen das Hagebuttenpulver aus Dänemark und ein wässriger Teufelskrallenwurzelextrakt mit > 50 mg Harpagosid in der Tagesdosis zur Verfügung, mit oder ohne Einnahme eines hypericinreichen Johanniskrautextrakts oder eines wirkstoffreichen Safranextrakts. Bei akuten Exazerbationen chronischer Rückenschmerzen kann zusätzlich ein auf Salicin standardisierter Weidenrindenextrakt hilfreich sein.
Zur Wirksamkeit von Symphytum officinale
Authors: Chrubasik-Hausmann Sigrun , Vlachojannis Julia
Published: October 2023

In der Volksmedizin werden Zubereitungen aus Symphytum officinale zur Wundbehandlung, bei Prellungen und Verstauchungen eingesetzt. Die European Medicines Agency hat 2015 die Datenlage zum Wirkstoff und zu den pharmakologischen und klinischen Studien zusammengefasst und die Beinwellwurzel unter „traditional use“ eingestuft. Das Prädikat umfasst Pflanzenmedizin, die seit mehr als 30 Jahren in Europa angewendet wird. Trotz plausibler Wirksamkeit reichte der Wissensstand nicht für das Prädikat „well-establisheduse“. Dies hätte eine detaillierte Kenntnis des Wirkstoffs erfordert, außerdem einen umfassenden Nachweis für die antioxidative, antientzündliche und wundheilungsfördernde Wirkung sowie für die Wirksamkeit in klinischen Studien. Die vorliegenden Studien weisen auf eine mäßige Evidenz der Wirksamkeit von Zubereitungen aus dem Beinwell bei Sprunggelenksdistorsion, Knie- und Rückenschmerzen. Bei Hämatomen, Dekubitus, stumpfen Traumata ohne und mit Hautabschürfungen gibt es Hinweise auf Wirksamkeit. Beweisend angelegte Studien müssten jetzt die Wirkgrößen bei den einzelnen Indikationen definieren. Beinwell-Zubereitungen, bei denen mithilfe eines Spezialverfahrens die Pyrrolizidinalkaloide entfernt wurden, können ohne Bedenken auch langfristig eingesetzt werden.
Die Alexander-Technik bei chronischen Rückenschmerzen
Authors: Rennschuh Helmuth
Published: October 2023

Menschen mit Rückenschmerzen können von der Alexander-Technik profitieren. Sie lernen dabei Innehalten und eine bewusste Neuausrichtung. In dieser Weise finden sie zu einer natürlichen Aufrichtung. Grundsätzlich gilt: Das Natürliche ist in der Regel das Richtige. Dies auszuführen, ist jedoch häufig eine Herausforderung. Eine Studie aus England zeigt Effekte dieser pädagogischen Methode bei Schmerzpatienten.
Relative Match Load in Young Professional Soccer Players during
Soccer-7 and Soccer-11
Authors: Rabano-Munoz Alberto , Suarez-Arrones Luis , Requena Bernardo , Asian-Clemente Jose
Published: October 2023

The aim of this study was to analyze the differences in internal and external
load during Soccer-7 and Soccer-11, comparing positional requirements and
neuromuscular fatigue in both modalities. Twenty-four young soccer players were
monitored in Soccer-7 and Soccer-11 matches using global positioning systems.
Total distance covered (TD), distance covered at high speed (HSR), distance
covered at very high speed (VHSR), peak speed, accelerations (Acc) and
decelerations (Dec) and rate of perceived exertion (RPE) were recorded
differentiating between central backs (CB), midfielders (MF), external players
(EX) and forwards (FW). Neuromuscular fatigue were assessed using a jump test.
During Soccer-11, players showed significantly higher TD, HSR and VHSR, with low
Acc and greater RPE compared with Soccer-7. During Soccer-11, all positions
recorded significantly greater TD, distance at HSR and at VHSR than Soccer-7. In
terms of playing position, CB, MF and FW achieved significantly higher Peak
Speed during Soccer-1, but there was no difference for EX. During Soccer-7 all
positions performed significantly higher numbers of Acc. Although the Soccer-7
modality is considered an optimal format for the development of young soccer
players, there is a significant difference in match running activity for all
playing positions with respect to the Soccer-11 format.
EXERT-BC: Prospective Study of an Exercise Regimen After Treatment
for Breast Cancer
Authors: Champ Colin E. , Peluso Chris , Carenter David J. , Rosenberg Jared , Velasquez Frank , Annichine Adam , Matsko Krista , Hyde Parker N. , Diaz Alexander K. , Beriwal Sushil , Hilton Christie
Published: October 2023

Purpose EXERT-BC is a dose-escalated resistance training regimen created to
improve body composition, strength, and balance in women treated for breast
cancer (BC). Herein, we report the interim analysis. Women treated for BC
underwent this 3-month exercise regimen in an exercise oncology facility with
continual monitoring of load and strength. Twenty women completed the
IRB-approved protocol, with a mean age of 57 years (range 41–74).
Concurrent therapies included anti-estrogen therapy (73%), chemotherapy
(14%), and radiotherapy (23%). 27% of women endorsed
prior exercise. Subjects missed an average of 1.75 classes (range 0–7),
with all meeting adherence over 75%. No injuries or adverse events were
reported aside from muscle soreness and 2 days of knee pain. Significant
differences in body composition at completion included reduced body fat
(38.2% vs. 36.7%, p=0.003), and increased muscle mass
(33.1% vs. 37.1%, p<0.001), functional mobility
screening (9.82 vs. 11.73, p=0.018), and Y-balance (left: 72.4 vs. 85.3,
p=0.001; right: 70.3 vs. 85.2. p<0.001). Significant increases
in load were demonstrated: split squat (p<0.001), trap bar deadlift
(p=0.035), inclined dumbbell press (p<0.001), and bird dog rows
(p<0.001). Dose-escalated resistance training in women with BC is safe
and feasible, endorsing significant improvements across body composition,
balance, and strength.
Synthesis and Characterization of an Eight-Membered Heterocyclic 1,3,5,7-Tetra(3-pyridyl)-1,3,5,7-tetrazacyclooctane
Authors: Li Li , Dai Guo-Liang , Zhu Xue Hua , Yu Lei , Li Hai Yan
Published: October 2023

N,N′-Bis(3-pyridyl)methanediamine was prepared by treating 3-aminopyridine with formaldehyde in acetonitrile. By treating it with formaldehyde, the eight-membered heterocyclic ring compound 1,3,5,7-tetra(3-pyridyl)-1,3,5,7-tetrazacyclooctane was prepared. This could occur in a two-step manner in a [3+1+3+1] cycloaddition reaction. The compounds were characterized by X-ray crystallography, 1H and 13C NMR spectroscopy, and mass spectrometry. The powder XRD pattern of 1,3,5,7-tetra(3-pyridyl)-1,3,5,7-tetrazacyclooctane was also determined and revealed an uncommon twist-crown conformation, which was further confirmed by DFT calculations.