bluuebunny/crossref_metadata_2025 huggingface dataset:
Biliary NIK promotes ductular reaction and liver injury and fibrosis in mice
Authors: Zhang Zhiguo , Zhong Xiao , Shen Hong , Sheng Liang , Liangpunsakul Suthat , Lok Anna S. , Omary M. Bishr , Wang Shaomeng , Rui Liangyou
Published: August 2022

Excessive cholangiocyte expansion (ductular reaction) promotes liver disease progression, but the underlying mechanism is poorly understood. Here we identify biliary NF-κB-inducing kinase (NIK) as a pivotal regulator of ductular reaction. NIK is known to activate the noncanonical IKKα/NF-κB2 pathway and regulate lymphoid tissue development. We find that cholangiocyte NIK is upregulated in mice with cholestasis induced by bile duct ligation (BDL), 5-diethoxycarbonyl-1,4-dihydrocollidine (DDC), or α-naphtyl-isothiocyanate (ANIT). DDC, ANIT, or BDL induces ductular reaction, liver injury, inflammation, and fibrosis in mice. Cholangiocyte-specific deletion of NIK, but not IKKα, blunts these pathological alterations. NIK inhibitor treatment similarly ameliorates DDC-induced ductular reaction, liver injury, and fibrosis. Biliary NIK directly increases cholangiocyte proliferation while suppressing cholangiocyte death, and it also promotes secretion of cholangiokines from cholangiocytes. Cholangiokines stimulate liver macrophages and hepatic stellate cells, augmenting liver inflammation and fibrosis. These results unveil a NIK/ductular reaction axis and a NIK/cholangiokine axis that promote liver disease progression.
A multi-functional role for the MCM8/9 helicase complex in maintaining fork integrity during replication stress
Authors: Griffin Wezley C. , McKinzey David R. , Klinzing Kathleen N. , Baratam Rithvik , Eliyapura Achini , Trakselis Michael A.
Published: August 2022

The minichromosome maintenance (MCM) 8/9 helicase is a AAA+ complex involved in DNA replication-associated repair. Despite high sequence homology to the MCM2-7 helicase, a precise cellular role for MCM8/9 has remained elusive. We have interrogated the DNA synthesis ability and replication fork stability in cells lacking MCM8 or 9 and find that there is a functional partitioning of MCM8/9 activity between promoting replication fork progression and protecting persistently stalled forks. The helicase function of MCM8/9 aids in normal replication fork progression, but upon persistent stalling, MCM8/9 directs additional downstream stabilizers, including BRCA1 and Rad51, to protect forks from excessive degradation. Loss of MCM8 or 9 slows the overall replication rate and allows for excessive nascent strand degradation, detectable by increased markers of genomic damage. This evidence defines multifunctional roles for MCM8/9 in promoting normal replication fork progression and genome integrity following stress.
Comprehensive structural assignment of glycosaminoglycan oligo- and polysaccharides by protein nanopore
Authors: Bayat Parisa , Rambaud Charlotte , Priem Bernard , Bourderioux Matthieu , Bilong Mélanie , Poyer Salomé , Pastoriza-Gallego Manuela , Oukhaled Abdelghani , Mathé Jérôme , Daniel Régis
Published: August 2022

Glycosaminoglycans are highly anionic functional polysaccharides with information content in their structure that plays a major role in the communication between the cell and the extracellular environment. The study presented here reports the label-free detection and analysis of glycosaminoglycan molecules at the single molecule level using sensing by biological nanopore, thus addressing the need to decipher structural information in oligo- and polysaccharide sequences, which remains a major challenge for glycoscience. We demonstrate that a wild-type aerolysin nanopore can detect and characterize glycosaminoglycan oligosaccharides with various sulfate patterns, osidic bonds and epimers of uronic acid residues. Size discrimination of tetra- to icosasaccharides from heparin, chondroitin sulfate and dermatan sulfate was investigated and we show that different contents and distributions of sulfate groups can be detected. Remarkably, differences in α/β anomerization and 1,4/1,3 osidic linkages can also be detected in heparosan and hyaluronic acid, as well as the subtle difference between the glucuronic/iduronic epimers in chondroitin and dermatan sulfate. Although, at this stage, discrimination of each of the constituent units of GAGs is not yet achieved at the single-molecule level, the resolution reached in this study is an essential step toward this ultimate goal.
Molecular identification and quantification of defect sites in metal-organic frameworks with NMR probe molecules
Authors: Yin Jinglin , Kang Zhengzhong , Fu Yao , Cao Weicheng , Wang Yiran , Guan Hanxi , Yin Yu , Chen Binbin , Yi Xianfeng , Chen Wei , Shao Wei , Zhu Yihan , Zheng Anmin , Wang Qi , Kong Xueqian
Published: August 2022

The defects in metal-organic frameworks (MOFs) can dramatically alter their pore structure and chemical properties. However, it has been a great challenge to characterize the molecular structure of defects, especially when the defects are distributed irregularly in the lattice. In this work, we applied a characterization strategy based on solid-state nuclear magnetic resonance (NMR) to assess the chemistry of defects. This strategy takes advantage of the coordination-sensitive phosphorus probe molecules, e.g., trimethylphosphine (TMP) and trimethylphosphine oxide (TMPO), that can distinguish the subtle differences in the acidity of defects. A variety of local chemical environments have been identified in defective and ideal MOF lattices. The geometric dimension of defects can also be evaluated by using the homologs of probe molecules with different sizes. In addition, our method provides a reliable way to quantify the density of defect sites, which comes together with the molecular details of local pore environments. The comprehensive solid-state NMR strategy can be of great value for a better understanding of MOF structures and for guiding the design of MOFs with desired catalytic or adsorption properties.
Finger-inspired rigid-soft hybrid tactile sensor with superior sensitivity at high frequency
Authors: Zhang Jinhui , Yao Haimin , Mo Jiaying , Chen Songyue , Xie Yu , Ma Shenglin , Chen Rui , Luo Tao , Ling Weisong , Qin Lifeng , Wang Zuankai , Zhou Wei
Published: August 2022

Among kinds of flexible tactile sensors, piezoelectric tactile sensor has the advantage of fast response for dynamic force detection. However, it suffers from low sensitivity at high-frequency dynamic stimuli. Here, inspired by finger structure—rigid skeleton embedded in muscle, we report a piezoelectric tactile sensor using a rigid-soft hybrid force-transmission-layer in combination with a soft bottom substrate, which not only greatly enhances the force transmission, but also triggers a significantly magnified effect in d31 working mode of the piezoelectric sensory layer, instead of conventional d33 mode. Experiments show that this sensor exhibits a super-high sensitivity of 346.5 pC N−1 (@ 30 Hz), wide bandwidth of 5–600 Hz and a linear force detection range of 0.009–4.3 N, which is ~17 times the theoretical sensitivity of d33 mode. Furthermore, the sensor is able to detect multiple force directions with high reliability, and shows great potential in robotic dynamic tactile sensing.
Contact exposure to neonicotinoid insecticides temporarily suppresses the locomotor activity of Pardosa lugubris agrobiont wolf spiders
Authors: Řezáč Milan , Přibáňová Gabriela , Gloríková Nela , Heneberg Petr
Published: August 2022

Exposure to numerous chemicals disrupts the spiders' locomotion. Spiders, particularly epigeic spiders, are dependent on their locomotory activities to search for prey, hide from their enemies, and perform sexual reproduction and subsequent parental care. Among the best-known compounds that inhibit the locomotion of arthropods are neonicotinoids. Despite spiders are less affected by the neonicotinoids than insects due to the sequence differences in their acetylcholine receptors, they are not resistant to these compounds. We hypothesized that acute exposure to a broad spectrum of neonicotinoids suppresses the traveled distance, mean velocity, and maximum velocity in epigeic spiders. As a model species, we used adults of Pardosa lugubris. We tested commercial formulations of thiamethoxam, acetamiprid, and thiacloprid. We tested each of the neonicotinoids in the maximum and minimum concentrations recommended for foliar applications. We applied them under controlled conditions dorsally by spraying them directly on the spiders or exposing the spiders to the tarsal contact with neonicotinoid residues. Control groups consisted of 31 individuals; treated groups consisted of 10–21 individuals. We found that a broad spectrum of neonicotinoids temporarily suppresses the traveled distance in epigeic spiders. At 1 h after application, all the three tested neonicotinoid insecticides induced declines in the traveled distance, but this effect mostly disappeared when tested at 24 h after the application. The decrease in the traveled distance was associated with substantial temporary decreases in the mean and maximum velocities. Despite differences among modalities, all three insecticides caused multiple adverse effects on the locomotory parameters in any tested concentrations. It remains to test what would be the lowest safe concentration for the chronic exposure to neonicotinoids in epigeic spiders.
Effect of slow-release nitrogenous fertilizers on dry matter accumulation, grain nutritional quality, water productivity and wheat yield under an arid environment
Authors: Ghafoor Iqra , Rahman Muhammad Habib ur , Hasnain Muhammad Usama , Ikram Rao Muhammad , Khan Mahmood Alam , Iqbal Rashid , Hussain Muhammad Iftikhar , Sabagh Ayman EL
Published: August 2022

Slow release nitrogenous fertilizers can improve crops production and reduce the environmental challenges in agro-ecosystem. There is a need to test the efficiency and performance under arid climatic conditions. The study investigates the effect of slow-release fertilizers (urea, neem coated urea (NCU), sulfur coated urea (SCU) and bioactive sulfur coated urea (BSCU)) on the growth, productivity and grain nutritional qualities of wheat crop. Slow-release fertilizers (SRF) with nitrogen levels (130,117,104 and 94 kg ha−1) were applied with equal splits at sowing, 20 and 60 days after sowing (DAS). Research showed that the BSCU with 130 kg ha−1 increased dry matter accumulation (1989 kg ha−1) after anthesis and grain yield 4463 kg ha−1. The higher plant height (102 cm) was attained by 130 kg N ha−1 SCU while the minimum (77.67 cm) recorded for 94 kg N ha−1 as urea source. Maximum grain NPK concentrations (3.54, 0.66 and 1.07%) were recorded by BSCU 130 kg N ha−1 application. While, the minimum NPK (0.77, 0.19 and 0.35%) were observed by Urea 94 kg N ha−1. The high irrigation water use efficiency (WUE) recorded (20.92 kg ha−1 mm−1) and a crop index of 25.52% by BSCU 130 kg N ha−1 application. Research findings show that generally all SRF but particularly BSCU proved effective and can be recommended for wheat crop under arid environment.
Psychological impact on dental students and professionals in a Lima population during COVID-19s wave: a study with predictive models
Authors: Morales-Montoya Mariana , Córdova-Limaylla Nancy , Briceño-Vergel Gissela , Ladera-Castañeda Marysela , Garcia-Luna Goretty , Cachay-Criado Hernán , Cervantes-Ganoza Luis , Cayo-Rojas César F.
Published: August 2022

Peru was the country with the highest COVID-19 case fatality rate worldwide during second wave of infection, with dentists and pre-professional students being susceptible to infection due to clinical procedures they perform. This situation could have generated some kind of psychological disorder within this group. Therefore, the present study aimed to assess how COVID-19 pandemic affected this population group during second wave, in relation to depression, anxiety and stress. This observational and cross-sectional study in 368 Peruvian dentists (186 students and 182 professionals), was carried out during August to November 2021. The DASS-21 Scale was used to diagnose depression, anxiety and stress. For the statistical analysis, Pearson's chi-square test was used, in addition to a logit model using odds ratio (OR) to evaluate depression, anxiety and stress with the following factors: gender, age group, marital status, monthly family income, children, academic level, history of COVID-19, COVID-19 symptomatology, close relative with COVID-19, living with vulnerable people and work dedication. In addition, predictive models were constructed considering all possible significant causes. A significance level of p < 0.05 was considered. Dental students and professionals presented significant differences in levels of depression, anxiety and stress (p < 0.001, p = 0.022, p = 0.001; respectively). Male students were 56% less likely to develop stress (OR 0.44; CI 0.22–0.85) compared to females; while those unmarried were 81% less likely to develop stress (OR 0.19; CI 0.04–0.85). Likewise, those with children were 83% less likely to develop stress (OR 0.17; CI 0.06–0.52) and 65% less likely to develop depression (OR 0.35; CI 0.15–0.80). In addition, COVID-19 asymptomatics were 60% less likely to develop depression (OR 0.40; CI 0.17–0.92). However, having relatives with COVID-19 caused almost three times the probability of developing depression (OR 2.96; CI 1.29–6.79) and twice the probability of developing stress (OR 2.49; CI 1.07–5.78). As for dental professionals, it was noticed that those unmarried had almost three times the probability of developing stress (OR 2.93; CI 1.38–6.23); while those who only worked had twice the probability of developing stress (OR 2.37; CI 1.17–4.78). Dental students had a higher prevalence of depression, anxiety and stress. In addition, having children and being asymptomatic were protective predictors for depression, while being male, unmarried and having children were protective predictors for stress. However, having a relative with COVID-19 was a risk predictor for depression and stress. In professionals, only working and being unmarried were risk predictors for stress.
Intensity instability and correlation in amplified multimode wave mixing
Authors: An Haechan , Owens Hal , Ather Hamza , Shakouri Ali , Hosseini Mahdi
Published: August 2022

The dynamics of optical nonlinearity in the presence of gain and feedback can be complex leading to chaos in certain regimes. Temporal, spectral, spatial, or polarization instability of optical fields can emerge from chaotic response of an optical $$\chi ^{(2)}$$

χ

(
2
)

or $$\chi ^{(3)}$$

χ

(
3
)

nonlinear medium placed between two cavity mirrors or before a single feedback mirror. The complex mode dynamics, high-order correlations, and transition to instability in these systems are not well known. We consider a $$\chi ^{(3)}$$

χ

(
3
)

medium with amplified four-wave mixing process and study noise and correlation between multiple optical modes. Although individual modes show intensity instability, we observe relative intensity noise reduction close to the standard quantum noise, limited by the camera speed. We observe a relative noise reduction of more than 20 dB and fourth-order intensity correlation between four spatial modes. More than 100 distinct correlated quadruple modes can be generated using this process.
Predicting mechanical properties of material extrusion additive manufacturing-fabricated structures with limited information
Authors: Peterson Amy M. , Kazmer David O.
Published: August 2022

Mechanical properties of additively manufactured structures fabricated using material extrusion additive manufacturing are predicted through combining thermal modeling with entanglement theory and molecular dynamics approaches. A one-dimensional model of heat transfer in a single road width wall is created and validated against both thermography and mechanical testing results. Various model modifications are investigated to determine which heat transfer considerations are important to predicting properties. This approach was able to predict tear energies on reasonable scales with minimal information about the polymer. Such an approach is likely to be applicable to a wide range of amorphous and low crystallinity thermoplastics.
Structure parameter design and bench test research of paddy field blades
Authors: Chen Chongcheng , Di Zhifeng , Chen Weixiang , Zheng Shuhe , Ren Jinbo
Published: August 2022

Aiming at the problems of high labor intensity and low efficiency in manual operation during the pulping process of rice seedling nursing in thin mud in hilly and mountain areas, this paper designed a new type of paddy field blade for seedling nursing, and utilized a rice nursery pulper to help manual operation complete the pulping process. It created a mathematical model of mud-throwing mass and operating power in the operation process of paddy field blade, and obtained the main structure factors that influenced the mud-throwing mass and operating power of paddy field blade, which included the area of mud splashing board, the angle between the front cutting edge and the mud splashing board, and the inclination angle between the front cutting surface and the mud splashing board. To further analyze the degree of influence of the blade’s main structure parameters on mud-throwing mass and operating power, it used EDEM discrete element simulation software to establish a discrete element simulation model of paddy field blade and mud particle system, performed simulation analysis with the method of orthogonal experimental design, and conducted a bench test for comparison. The results showed that: (1) the degree of influence of the three structure parameters on mud-throwing mass and operating power from large to small in order was the area of mud splashing board > the inclination angle between front cutting surface and mud splashing board > the angle between front cutting edge and mud splashing board; (2) the maximum relative error for mud-throwing mass between simulation analysis and bench test was 4.53%, and that for operating power was 8.67%; and (3) three reference parameters combinations were selected by P2-1/M2 graph, the mud-throwing mass of the three combinations was 40.43%, 27.52% and 0.16% higher than that of the original blade, and the power consumed was 13.99%, 21.83% and 36.65% lower than that of the original blade, indicating that the new paddy field blade had good operating performance.
Geometry-modulated dipole polarizability of the two-dimensional Mott-Wannier excitons in gate-defined anisotropic quantum dot
Authors: Poszwa A.
Published: August 2022

A theoretical investigation on neutral excitons confined to a mono-layer (ML) semiconductor transition metal dichalcogenide (TMDC) materials under the influence of elliptically deformed gate induced confining potential is presented. It has been shown that the anisotropy of the confinement induces the anisotropy of linear response of the system on in-plane external electric field. The linear response is expressed in terms of principal moments of the static dipole polarizability tensor. In this manner the direction-dependent polarizability of the system can be fully controlled by tuning the parameters of gate-induced confining potential. The components of the polarizability tensor are determined using finite-field method based on the exact diagonalization of the electron-hole Hamiltonian including confining potential, Coulomb electron-hole interaction and an external electric field, within effective mass approximation, close to the K-points of the first Brillouin zone of a single-layer MX$$_2$$

2

material. The useful scaling relations for energies and dipole polarizabilities as functions of material parameters have been found. The influence of the anisotropy of the confining potential on correlated behavior of charge distribution inside the neutral system has also been demonstrated.
The role of electrolyte imbalances in predicting the severity of COVID-19 in the hospitalized patients: a cross-sectional study
Authors: Yasari Fatemeh , Akbarian Meshkat , Abedini Atefeh , Vasheghani Maryam
Published: August 2022

Coronavirus disease 2019 (COVID-19) can be fatal in severe cases. Accordingly, predicting the severity and prognosis of the disease is valuable. This study examined the role of electrolyte imbalances in predicting the severity of COVID-19. In this cross-sectional study, 169 hospitalized patients with COVID-19 were included and categorized into three groups based on the severity of the disease (moderate, severe, and critical). Serum levels of electrolytes (calcium [Ca], phosphorus [P], sodium [Na], potassium [k], and magnesium [Mg]), inflammatory markers (D-dimer, C-reactive protein [CRP], ferritin, and lactate dehydrogenase [LDH]), and 25OHVitamin D were measured. The mean age of patients was 53 years, and 54% were male. They had moderate, severe, and critical illnesses in 22%, 47%, and 31%, respectively. CRP, D-dimer, and ferritin increased with the severity of the disease. The lower median values of Mg, Na, 25OHVitamin D, Ca, LDH, and higher median lymphocyte counts were observed in the moderate vs. the severe group (P < 0.05). These parameters have acceptable sensitivity and specificity at the suggested cut-off level to discriminate the moderate and critical cases. Serum parameters introduced in this study are appropriate for differentiating between critical and moderate cases. The electrolyte imbalance can predict critical patients.
Glucose metabolism enhancement by 10-hydroxy-2-decenoic acidviathe PI3K/AKT signaling pathway in high-fat-diet/streptozotocin induced type 2 diabetic mice
Authors: Hu Xiyi , Liu Zhenguo , Lu Yuntao , Chi Xuepeng , Han Kai , Wang Hongfang , Wang Ying , Ma Lanting , Xu Baohua
Published: August 2022

10-HDA exerts beneficial effects on hyperglycemia, insulin secretion, hepatic steatosis, and inflammation in HFD/STZ-induced T2DM mice by regulating glucose metabolism in the liver and protecting pancreatic cells.
N-Chlorobenzimidazoles as efficient and structurally diverse amphoteric halogen bond donors in crystal engineering
Authors: Dhaka Arun , Jeannin Olivier , Aubert Emmanuel , Espinosa Enrique , Fourmigué Marc , Jeon Ie-Rang
Published: August 2022

Strong activation of a sigma-hole on the rather less polarizable Cl-atom on amphoteric N-benzimidazoles drives their self-assembly into halogen bonded 1D chains with cooperativity.
Assessing the hydrotropic effect in the presence of electrolytes: competition between solute salting-out and salt-induced hydrotrope aggregation
Authors: Martins Afonso C. , Benfica Jordana , Peréz-Sanchéz Germán , Shimizu Seishi , Sintra Tânia E. , Schaeffer Nicolas , Coutinho João A. P.
Published: August 2022

Hydrotrope pre-aggregation in the presence of inorganic salts is detrimental to the hydrotropic effect. Hydrotropic solubilization is determined by hydrotrope and solute aggregation and driven mainly by hydrophobic interactions.
Thermodynamics of multilayer protein adsorption on a gold nanoparticle surface
Authors: Mishra Akriti , Das Puspendu Kumar
Published: August 2022

We report the thermodynamics of protein adsorption on negatively charged colloidal gold nanoparticles (GNPs) of 16 nm to 69 nm at pH 7.0.
Two-dimensional IV–VA3 monolayers with enhanced charge mobility for high-performance solar cells
Authors: Xie Meiqiu , Li Yang , Liu Xuhai , Yang Jianping , Li Hui , Li Xing’ao
Published: August 2022

The power conversion efficiency of IV–VA3-based photovoltaics can reach 20%, which is competitive compared with existing 2D heterojunction solar cells.
Direct observation by high resolution transmission electron microscopy of gold(iii) particle transformation during aging reduction reaction
Authors: Ferguson Michael , Richard Austin J. , Valdez Jesus , Fiss Blaine G. , Titi Hatem M. , Provatas Nikolas , Friščić Tomislav , Moores Audrey
Published: August 2022

We use a gold nanoparticle synthesis as a model system to study the morphological and compositional changes in gold(iii) precursor particles, while reduction is taking place during aging after mechanical activation.
Electrokinetic deterministic lateral displacement for fractionation of vesicles and nano-particles
Authors: Gillams Richard J. , Calero Victor , Fernandez-Mateo Raul , Morgan Hywel
Published: August 2022

We demonstrate vesicle and nanoparticle fractionation in an optimised DLD array with micron-sized structures. When combined with an orthogonal AC electric field, these devices enable high-throughput fractionation in high-conductivity electrolytes.
Carbon-doped tin disulfide nanoflowers: a heteroatomic doping strategy for improving the electrocatalytic performance of nitrogen reduction to ammonia
Authors: Xu Jingyi , Xu Xiaolong , Du Yu , Wu Dan , Ma Hongmin , Ren Xiang , Li Yuyang , Wei Qin
Published: August 2022

In this work, hydrophobic carbon-doped tin disulfide (C-SnS2) was fabricated for the first time and adopted as an advanced catalyst for the eNRR.
Photo-induced charge separation Z-scheme mechanism in ternary bismuth sulfide coupled SnS/Al2O3 nanostructure
Authors: Kanwal Aisha , Sajjad Shamaila , Leghari Sajjad Ahmed Khan , Mersal Gaber A. M. , Ibrahim Mohamed M.
Published: August 2022

The establishment of a solid-state Z-scheme heterojunction photocatalytic system to efficiently tailor photoinduced charge separation is of great significance to water purification.
Novel quinoline-derived chemosensors: synthesis, anion recognition, spectroscopic, and computational study
Authors: Saleem Tahira , Khan Samra , Yaqub Muhammad , Khalid Muhammad , Islam Muhammad , Yousaf ur Rehman Muhammad , Rashid Muhammad , Shafiq Iqra , Braga Ataualpa A. C. , Syed Asad , Bahkali Ali H. , Trant John F. , Shafiq Zahid
Published: August 2022

Fluorescent-small molecules offer an excellent source of chemosensors when optimized for detection of anions with sensitivity and selectivity, low-cost and robust synthesis.
A comparative study of the domain wall motion in ferrimagnets (Fe,Co)1−x(Gd,Tb)x
Authors: Zhou Yuqing , Xu Teng , Liang Xue , Zhao Le , Zhou Heng-An , Wang Zidong , Jiang Wanjun , Zhou Yan
Published: August 2022

Our work reveals the distinctive DW dynamic behaviors in different RE-TM ferrimagnetic materials. The results show that Gd-based ferromagnets are more suitable for achieving ultrafast DW motion and developing spintronic memories and logic devices.
Hansen parameter evaluation for the characterization of titania photocatalysts using particle size distributions and combinatorics
Authors: Anwar Osama , Bapat Shalmali , Ahmed Jalil , Xie Xiaofeng , Sun Jing , Segets Doris
Published: August 2022

Usage of particle size distributions with appropriate reporting of the Hansen parameters of particulates for directed photocatalyst design.
Synthesis of hyperbranched polyesters via the ring-opening alternating copolymerisation of epoxides with a cyclic anhydride having a carboxyl group
Authors: Suzuki Ryota , Xia Xiaochao , Gao Tianle , Yamamoto Takuya , Tajima Kenji , Isono Takuya , Satoh Toshifumi
Published: August 2022

Hyperbranched polyesters (HBPEs) are well-known interesting materials used in many fields.
Thermally highly stable polyhedral oligomeric silsesquioxane (POSS)-sulfur based hybrid inorganic/organic polymers: synthesis, characterization and removal of mercury ion
Authors: Berk Hasan , Kaya Murat , Cihaner Atilla
Published: August 2022

Elemental sulfur was copolymerized with octavinyl polyhedral oligomeric silsesquioxane (OV-POSS) cages in diglyme solution via the inverse vulcanization method and characterized using NMR and FTIR spectroscopic techniques.
A-site deficient semiconductor electrolyte Sr1−xCoxFeO3−δ for low-temperature (450–550 °C) solid oxide fuel cells
Authors: Lu Yuzheng , Yousaf Shah M. A. K. , Mushtaq Naveed , Yousaf Muhammad , Lund Peter D. , Zhu Bin , Asghar Muhammad Imran
Published: August 2022

Fast ionic conduction at low operating temperatures is a key factor for the high electrochemical performance of solid oxide fuel cells (SOFCs).
The efficient and green synthesis of biodiesel from crude oil without degumming catalyzed by sodium carbonate supported MoS2
Authors: Zhang Tiantian , Li Binglin , Li Haining , Liu Yuanyuan , Li Jiachen , Zhao Binxia , Zhang Xiaoli , Wang Jiao
Published: August 2022

The transesterification of lecithin with methanol catalyzed by sodium carbonate supported MoS2 was investigated for the preparation of biodiesel.
Dry gel synthesis of hierarchical ZSM-5 zeolite using hydroxyl propyl methyl cellulose (HPMC) as a mesoporogen and its catalytic activity in alkylation reactions
Authors: Hoang Phan Huy , Thu Thao Nguyen Thi
Published: August 2022

A “green” and facile method for synthesis of hierarchical ZSM-5 zeolite was presented using a combination of a bio-mesoporogen and a dry gel conversion (DGC) process.
First observation on emergence of strong room-temperature ferroelectricity and multiferroicity in 2D-Ti3C2Tx free-standing MXene film
Authors: Tahir Rabia , Zahra Syedah Afsheen , Naeem Usman , Akinwande Deji , Rizwan Syed
Published: August 2022

Two-dimensional (2D) multiferroics are key candidate materials towards advancement of smart technology.
The role of RHIM in necroptosis
Authors: Riebeling Theresa , Kunzendorf Ulrich , Krautwald Stefan
Published: August 2022

The RIP homotypic interaction motif (RHIM) is a conserved protein domain that is approximately 18–22 amino acids in length. In humans, four proteins carrying RHIM domains have been identified: receptor-interacting serine/threonine protein kinase (RIPK) 1, RIPK3, Z-DNA-binding protein 1 (ZBP1), and TIR domain-containing adapter-inducing IFN-β (TRIF), which are all major players in necroptosis, a distinct form of regulated cell death. Necroptosis is mostly presumed to be a fail-safe form of cell death, occurring in cells in which apoptosis is compromised. Upon activation, RIPK1, ZBP1, and TRIF each hetero-oligomerize with RIPK3 and induce the assembly of an amyloid-like structure of RIPK3 homo-oligomers. These act as docking stations for the recruitment of the pseudokinase mixed-lineage kinase domain like (MLKL), the pore-forming executioner of necroptosis. As RHIM domain interactions are a vital component of the signaling cascade and can also be involved in apoptosis and pyroptosis activation, it is unsurprising that viral and bacterial pathogens have developed means of disrupting RHIM-mediated signaling to ensure survival. Moreover, as these mechanisms play an essential part of regulated cell death signaling, they have received much attention in recent years. Herein, we present the latest insights into the supramolecular structure of interacting RHIM proteins and their distinct signaling cascades in inflammation and infection. Their uncovering will ultimately contribute to the development of new therapeutic strategies in the regulation of lytic cell death.
An Investigation of Developmental Coordination Disorder Characteristics in Children With Childhood Apraxia of Speech
Authors: Iuzzini-Seigel Jenya , Moorer Laura , Tamplain Priscila
Published: August 2022

Purpose:

Children with childhood apraxia of speech (CAS) evidence a high rate of co-occurring fine and gross motor deficits. This clinical focus article reports a preliminary investigation of characteristics of developmental coordination disorder (DCD), a neurodevelopmental disorder categorized by poor motor proficiency and functional limitations, in this population.

Method:

Children with CAS underwent a comprehensive motor evaluation using the Movement Assessment Battery for Children–Second Edition, the Developmental Coordination Disorder Questionnaire, and a developmental history questionnaire to determine if they met criteria for a DCD diagnosis as specified in the
Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition
(DSM-5).

Results:

Six out of seven participants met DCD criteria based on the DSM-5 criteria. Four of these children had a co-occurring diagnosis of developmental language disorder, and all met criteria for DCD.

Conclusions:

Consistent with previous research, the majority of participants demonstrated motor deficits and 85% met criteria for DCD. Despite this high rate of motor deficits, only 57% had previously undergone a physical/occupational therapy evaluation and intervention and only one had a previous diagnosis of DCD. These findings suggest that formal movement assessments are essential for children with a CAS diagnosis.

Supplemental Material:

https://doi.org/10.23641/asha.20540193
A modified 3D EfficientNet for the classification of Alzheimer's disease using structural magnetic resonance images
Authors: Zheng Bowen , Gao Ang , Huang Xiaona , Li Yuhan , Liang Dong , Long Xiaojing
Published: August 2022

Structural magnetic resonance imaging (MRI) provides useful information for biomarker exploration and intelligent classification of Alzheimer's disease (AD). Machine learning and deep learning methods have been used in feature extraction and computer‐aided diagnosis or prediction of AD. In this research, a new deep learning model is developed to detect or predict AD in an effective manner. A modified 3D EfficientNet with a sequentially connected 3D mobile inverted bottleneck convolution (MBConv) block is proposed to explore the multiscale characteristics of brain MR images for AD classification. The 3D MBConv block consists of depthwise convolution and a squeeze‐and‐excitation module to transform the input features into more compact features with fewer parameters than those in standard convolution. The proposed method was evaluated considering four classification tasks: (1) NC versus AD, (2) NC versus all MCI, (3) NC versus pMCI, and (4) sMCI versus pMCI. The proposed model achieved accuracies of 95.00%, 86.67%, and 83.33% for the classification of NC versus AD, NC versus pMCI, and sMCI versus pMCI, respectively, and exhibited a high performance in comparison with the classical networks and several existing methods. Efficient deep learning networks are powerful tools for the early diagnosis and prediction of AD.
A two‐step image stabilisation method for promoting visual quality in vision‐enabled maritime surveillance systems
Authors: Huang Yanhong , Liu Ryan Wen , Liu Jingxian
Published: August 2022

Maritime surveillance systems have been commonly exploited in vessel traffic services. The maritime visual information can be obtained through shore‐borne, ship‐borne or air‐borne cameras. However, the obtained visual data often suffers from blur effects due to the shaky imaging devices in wild conditions (e.g. wind, waves and currents). It is necessary to develop image stabilisation methods to promote visual quality. In this work, we propose a two‐step image stabilisation method by introducing the blind deblurring technology. In particular, we first propose a hybrid regularised blur kernel estimation method to robustly and accurately capture the motion trajectory of imaging devices during shaking. Once the estimation of motion trajectory is obtained, we then present a robust non‐blind deblurring method in the second step to implement restoration of latent sharp image (i.e. image stabilisation). All non‐convex and non‐smooth minimisation problems related to blur kernel estimation and non‐blind deblurring are effectively solved using the alternating direction method of multipliers‐based numerical methods. Extensive experiments on both synthetic and realistic blurred images have been performed. All experimental results have demonstrated the satisfactory performance of our image stabilisation method under different imaging conditions. Moreover, the comparisons on other state‐of‐the‐art methods have also indicated that our method could provide a good representation of promoting object detection in vision‐enabled maritime surveillance systems.
Specific emitter identification based on the multi‐discrepancy deep adaptation network
Authors: Wang Tianchi , Yu Lu , Wang Wenyu , Wei Jianyu
Published: August 2022

Specific emitter identification task often encounters the problem of channel inconsistency between the collected signal and the signal to be recognised, that is, different channel environments would cause inconsistency in the sample distribution, which would result in a significant decrease in recognition accuracy; the same problem is encountered in transfer learning. The authors focus on an important category of methods in transfer learning called domain adaptation to solve the above problems. Motivated by the idea of the Fisher discriminant and metric learning, a novel domain adaptation method called the multi‐discrepancy deep adaptation network is proposed. In contrast to the current approach of reducing the discrepancies between the source and target domain distributions without considering category information, the basic idea of the proposed method is to increase interclass discrepancies between the source and target domains while decreasing interclass discrepancies. To adjust the weights of interclass and interclass discrepancies, a dynamic balancing factor that adaptively adjusts the weights between the interclass variance and interclass variance according to the latest trends of both variances is introduced, which is effective in improving performance. Dynamic balancing and learning weight factors, which are used to adjust the training weights of interclass and interclass discrepancies during the training process are introduced. The authors applied the network to a specific emitter identification problem under different channels on the ORACLE radio frequency Fingerprinting Data set and demonstrated a maximum domain adaptability increase of 15.4%, which outperformed existing domain adaptation methods.
An improved triple‐frequency cycle slip detection and repair method based on wavelet packet transform and adaptive threshold for BeiDou System satellite
Authors: Su Mingkun , Yang Yanxi , Qiao Lei , Liu Erxiao , Song Huina , Wu Chao , Zhang Huan
Published: August 2022

Cycle slip detection and repair is one of the key factors of Global Navigation Satellite System carrier phase high precision positioning. Although various methods have been proposed to detect and repair the cycle slip, they are still limited by kinds of factors and the effect is not ideal, especially in real‐time triple‐frequency high precise positioning applications for BeiDou Systems (BDSs). Traditional methods only improve the algorithm from the detection level, but the observation level and the threshold of detection always be ignored. Research indicates that the noise of observation seriously affects the success rate of cycle slip detection, and the threshold of detection largely depends on the satellite type and data sampling rate. A new triple‐frequency cycle slip detection and repair method, based on wavelet packet transform and adaptive threshold strategy, is proposed to detect and repair the cycle slip for real‐time BDS triple‐frequency positioning applications. The key idea of the proposed method is the use of both the wavelet packet transform and elevation model to mitigate random noise and the satellite‐induced code bias from the observation level, and the adaptive threshold strategy to adjust the threshold of detection based on satellite type and data sampling rate in the detection level. Real datasets are collected to evaluate the performance of the proposed method. Experimental results indicated that the proposed method can effectively detect and repair all types of cycle slips, such as single‐frequency small cycle slip, large cycle slip, and particular cycle slip, improve the success rate and reliability, and lay a solid foundation for BDS high‐precision positioning.
Identifying driver modules based on multi‐omics biological networks in prostate cancer
Authors: Chen Zhongli , Liang Biting , Wu Yingfu , Zhou Haoru , Wang Yuchen , Wu Hao
Published: August 2022

The development of sequencing technology has promoted the expansion of cancer genome data. It is necessary to identify the pathogenesis of cancer at the molecular level and explore reliable treatment methods and precise drug targets in cancer by identifying carcinogenic functional modules in massive multi‐omics data. However, there are still limitations to identifying carcinogenic driver modules by utilising genetic characteristics simply. Therefore, this study proposes a computational method, NetAP, to identify driver modules in prostate cancer. Firstly, high mutual exclusivity, high coverage, and high topological similarity between genes are integrated to construct a weight function, which calculates the weight of gene pairs in a biological network. Secondly, the random walk method is utilised to reevaluate the strength of interaction among genes. Finally, the optimal driver modules are identified by utilising the affinity propagation algorithm. According to the results, the authors’ method identifies more validated driver genes and driver modules compared with the other previous methods. Thus, the proposed NetAP method can identify carcinogenic driver modules effectively and reliably, and the experimental results provide a powerful basis for cancer diagnosis, treatment and drug targets.
Na-doping approach for conductivity enhancement of natural phosphate derived fluorapatites
Authors: Es-saidi Ikrame , Labrag Jihane , Laghzizil Abdelaziz , Dânoun Karim , Nunzi Jean-Michel , Zahouily Mohamed
Published: August 2022

The search for thermally stable solid electrolytes is promising for solid-state batteries. High ionic conductivity solid electrolytes derived from natural phosphate modified by sodium addition were developed. The samples were characterized by X-ray diffraction, Fourier-transform infrared spectroscopy, 23Na solid-state nuclear magnetic resonance and scanning electron microscopy with energy dispersive spectroscopy. The structural and morphology changes were observed by increasing the Na2SO4 content. The synthesized ceramic electrolytes have low activation energy of about 0.60 eV and a relatively high ionic conductivity of 2 × 10−2 mS cm−1 at 400 °C.
Preventive Treatment of Migraine
Authors: Todd Candice M. , Sandoe Claire H. , Lay Christine
Published: August 2022

Migraine significantly impacts individuals from all walks of life and from all around the globe. Chronic or high-frequency episodic migraine has similar disability and burden on the healthcare system and can be challenging to manage. The focus of this article is to provide an outline of the available pharmacological and nonpharmacological evidence-based strategies that clinicians can employ to build a “toolbox” for their patients.
Superficial Femoral Artery Rupture “Bailed Out” Using Novel Design of Supera Stent
Authors: Shah Pratik , Someshwar Vimal , Mundada Krishna
Published: August 2022

Peripheral artery disease is a condition that occurs due to narrowing or occlusion of arterial lumen usually secondary to atherosclerosis. Endovascular treatments are minimally invasive procedures that have become popular for recanalization of such calcified/sclerosed arteries. However, heavily calcified arteries make these procedures challenging and are more prone to complications like balloon rupture and bleeding. Herein, we report a novel case of rupture of superficial femoral artery and its management using self-expanding Supera stent.
Imaging in Uterine Artery Pseudoaneurysm: A Rare, Potentially Fatal Cause of Secondary Post-partum Hemorrhage
Authors: Mule Prajakta M. , Nair Sanjota Satish , Bhargava Rajat N.
Published: August 2022

Secondary postpartum hemorrhage is one of the important cause of postpartum morbidity and mortality. Uterine artery pseudoaneurysm is a rare, potentially fatal but treatable cause of secondary post-partum hemorrhage. If not diagnosed timely, it can lead to life-threatening hemorrhage. We report the case of a 41-year-old woman who presented with profuse vaginal bleeding on 32nd day of cesarean section. On imaging a left uterine artery pseudoaneurysm was found in the uterine wall with blood clots in the uterine cavity. Patient was managed with aggressive fluid resuscitation and immediate interventional radiology procedure of selective embolization of pseudoaneurysm. High index of suspicion is needed to search for rare vascular causes like pseudoaneurysm.
Beyond the Hip Labrum: A Pictorial Review
Authors: Baren James P. , Thaker Siddharth , Fawcett Richard , Gupta Harun
Published: August 2022

Magnetic resonance arthrography and 3T magnetic resonance imaging of the hip are a technique commonly performed in young, physically active patients presenting with pain relating to the hip, with the focus on assessing for the presence of labral tears and femoroacetabular impingement. Abnormal signal within the labrum can be misleading, however, as labral tears are a frequent incidental finding and have been identified in a large proportion of the asymptomatic population. A range of extralabral conditions can cause hip-related pain in young patients, including pathology related to the bones, joints, and periarticular soft tissues. It is vital that the radiologist is aware for these pathologies and examines for them even in the presence of a confirmed labral tear. In this article, we review a range of common extralabral pathologies responsible for hip pain and highlight review areas that aid in their diagnosis.
The influences of glass–glass interfaces and Ni additions on magnetic properties of transition-metal phosphide nano-glasses
Authors: Li Tian , Zheng Guangping
Published: August 2022

In this work, a novel kind of non-crystalline materials, the metallic nano-glasses (NGs), is synthesized, and the influences of glass–glass interfaces (GGIs) and Ni additions on the structural and thermodynamics properties, as well as the magnetism of (Co, Fe, Ni)–P NGs with various sizes of glassy grains (Davg) are studied systematically. The addition of Ni and the reduction of Davg are found to improve the glass forming abilities of NGs. The influences of volume fractions of GGIs on the magnetism of NGs are analyzed by Mössbauer spectroscopy and magnetization hysteresis measurements. It is found that the soft magnetic properties of (Co, Fe)–P NGs with reduced Davg can be dramatically improved, as compared with micro-structured samples. Thus, this work has an in-depth understanding of the structural properties and magnetism of NGs as affected by the glass–glass interfaces in magnetic NGs.
FEA simulations for low-frequency multi-layer magnetically shielded rooms
Authors: Yang Songnan , Zhang Xiaohui , Gao Jiuxiang , Liu Yuanyuan , Zhang Jinsheng , Xi Xiaoli
Published: August 2022

This paper proposes using Finite Element Analysis (FEA) simulations to optimize the design structure for low-frequency Magnetically Shielded Rooms (MSRs). In constructing a multi-layer MSR, the different characteristics of the material and laminated structure will bring different levels of magnetic Shielding Effectiveness (SE). The theoretical SE of an MSR can be determined quickly. By using the method used in this paper, the ideal laminated material structure can be found without increasing the MSR construction cost. According to the simulation results and the actual MSR measurement results we built, the optimized MSR design structure can improve the SE by 13 dB. In the area where the external measurement magnetic field is 37 820 nT, the magnetic field in the MSR is as low as 28 nT, and the SE of the MSR is higher than 57.3 dB. The method proposed by this research can provide the theoretical basis for optimal design structure and the FEA simulation method for engineering practice, which can effectively improve the SE of shielded rooms and save the construction cost. The FEA simulations used in this paper can be obtained from the following URL: https://github.com/YuukiAsuna/-Finite-element-simulation-of-material-lamination-sequence.