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In this research, microgels with different crosslink density were prepared using the hydrophilic sodium alginate (ALG), and the interfacial adsorption, emulsion formation and lipid digestion profiles of these microgels were comparatively analyzed. Results showed that the microgels with different crosslink density exhibited different hardness, particle size, and surface hydrophobicity, but similar interfacial tension. The ALG microgels could stabilize an oil-in-water emulsion through the “Mickering mechanisms”, that the particle size and hardness of the microgels have strong effects on their emulsifying behaviors, while the effects from surface hydrophobicity and interfacial tension were unconspicuous. A temperate crosslink density (e. g. 3 mM to 5 mM Ca2+) was benefit to the emulsifying capacity of the microgels at neutral (pH 7.0) and acidic (pH 4.0) environments. Moreover, the temperately crosslinked microgels stabilized oil droplets were more resistant to the displacement of bile salt and the followed lipid digestion. Our results provided important information for the development of polysaccharide-based food emulsifiers.

The soundscape is an essential type of attraction in tourism destinations. Music can serve as a significant tourist attraction that makes people immersed in it. Similarly, while tourists linger in ...

The outbreak of the novel coronavirus severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2), the causative agent of coronavirus disease 2019 (COVID‐19) respiratory disease, led to a global pandemic with high morbidity and mortality. Despite frenzied efforts in therapeutic development, there are currently no effective drugs for treatment, nor are there vaccines for its prevention. Drug repurposing, representing as an effective drug discovery strategy from existing drugs, is one of the most practical treatment options against the outbreak. In this study, we present a novel strategy for in silico molecular modeling screening for potential drugs that may interact with multiple main proteins of SARS‐CoV‐2. Targeting multiple viral proteins is a novel drug discovery concept in that it enables the potential drugs to act on different stages of the virus’ life cycle, thereby potentially maximizing the drug potency. We screened 2631 US Food and Drug Administration (FDA)‐approved small molecules against 4 key proteins of SARS‐CoV‐2 that are known as attractive targets for antiviral drug development. In total, we identified 29 drugs that could actively interact with 2 or more target proteins, with 5 drugs (avapritinib, bictegravir, ziprasidone, capmatinib, and pexidartinib) being common candidates for all 4 key host proteins and 3 of them possessing the desirable molecular properties. By overlaying docked positions of drug candidates onto individual host proteins, it has been further confirmed that the binding site conformations are conserved. The drugs identified in our screening provide potential guidance for experimental confirmation, such as in vitro molecular assays and in vivo animal testing, as well as incorporation into ongoing clinical studies.

Pit corrosion of Li during stripping is an important factor responsible for poor Li cycling efficiency, a metric that determines its cycling life. When excess Li is present, it has been observed that Li tends to strip in a non-uniform fashion, forming pits that extend well past the theoretical Li depth that inevitably lead to the formation of electronically isolated “dead” Li particles. In this work, a novel cell with replenishable Li is shown to inherently mitigate the formation of this “dead” Li, as a direct result of a design in which the intrinsically more homogenous stripping behavior of anode-free cells are combined with a replenishable limited Li reservoir. These novel cells (Li|Cu||LiFePO4) exhibit 25% and 34% higher cumulative capacities than the conventional cells (Cu|Li||LiFePO4) in carbonate and ether electrolytes, respectively, enabling a significant increase in cycle life without impacting energy density. This improvement strategy represents a new direction in Li metal battery improvement, in which improved cycling can be achieved regardless of electrolyte chemistry.

Background: Hypertensive nephropathy is one of the major causes of ESRD. Exercise has been considered a nonpathological therapy for hypertension and its complications, yet mechanisms remain unclear. We sought to investigate whether periodic swimming could ameliorate hypertension-induced kidney dysfunction and its underlying mechanisms. Methods: Four-week male spontaneously hypertensive rats (SHRs) were randomly divided into the hypertension group (SHR, n = 8) and exercise group (SE, n = 8, 60 min swimming/day, 6 days per week, for 8 weeks). Wistar-Kyoto rats (WKY, n = 8) were served as a sedentary normotensive group. Bodyweight and blood pressure (BP) were recorded weekly. After 8-week sedentary or swimming exercise, lipids profile, BUN, and Cr were measured. The renal interstitial fibrosis was examined by the histopathological analysis using Masson’s trichrome staining and hematoxylin and eosin staining. The kidney cell apoptosis was tested by TUNEL staining. The expressions of critical proteins responsible for the TGF-β1/Smad signaling of fibrosis, that is, TGF-β1, Smad2/3, and Smad7, as well as apoptosis related proteins, Bax and Bcl-2 in kidney cortex tissues were measured. Results: The 8-week swimming exercise reduced BP and bodyweight, lowered concentrations of BUN, and serum Cr, compared with SHR. Exercise remarkably inhibited hypertension-induced tubular degeneration, cellular cluster, and tubular cell swelling as well as glomerular degeneration in the kidney cortical tissues, attenuated renal interstitial fibrosis, and renal cell apoptosis. Moreover, expressions of TGF-β1, Smad2/3, and Bax were higher in the SHR than the WKY, which were significantly suppressed by the exercise. In contrast, hypertension-reduced expressions of Smad7 and Bcl-2 were enhanced by the swimming exercise. Strong correlations were found between kidney function indices, blood lipids, and key protein expressions. Conclusion: Our results demonstrate beneficial effects of the periodic swimming on ameliorating hypertension-induced kidney dysfunction highlighting the potential of swimming exercise as a nonpathological therapy for early prevention of hypertension-caused kidney diseases.

We report the discovery and detailed investigation of superconductivity in Mo4Ga20As. Mo4Ga20As crystallizes in a space group of I4/m (No. 87), with the lattice parameters a = 12.86352 Å and c = 5.30031 Å. The resistivity, magnetization, and specific heat data reveal Mo4Ga20As to be a type-II superconductor with T c = 5.6 K. The upper and lower critical fields are estimated to be 2.78 T and 22.0 mT, respectively. In addition, electron-phonon coupling in Mo4Ga20As is possibly stronger than the BCS weak-coupling limit. First-principles calculations suggest the Fermi level being dominated by the Mo-4d and Ga-4p orbitals.

The classification of 3D point clouds is a regular task, but remains a highly challenging problem because 3D point clouds usually contain a large amount of information on irregular shapes. Several recent studies have shown the excellent performance of deep learning in 3D point cloud classification. Convolutional neural network (CNN)-based 3D point cloud classification methods are also increasingly used owing to their efficient and convenient feature extraction capability. However, most of these methods do not take much prior information and local structural information into consideration, often resulting in their inability to extract sufficient information to improve the classification accuracy. In this study, we present a novel convolution operation named HyConv, which includes two key components. First, inspired by 2D convolution, we design a feature transformation module to capture more local structural information. Second, to extract the prior information, a hybrid weight module is introduced to estimate two types of weights on the basis of the distribution information of the spatial and feature domains. Additionally, we propose an adaptive method to learn hybrid weights to obtain hybrid distribution information. Finally, based on the proposed convolutional operator HyConv, we build a deep neural network Hybrid-CNN and conduct experiments on two commonly used datasets. The results show that our hybrid network outperforms most existing methods on ModelNet40. Furthermore, state-of-the-art performance is achieved with ScanObjectNN, which is a great improvement compared with existing methods.

The COVID-19 virus outbreak has been declared a “global pandemic”. Therefore, “lockdown” was issued in affected countries to control the spread of the virus. To assess air pollution during and after lockdowns, this study selected pandemic hotspots in China (Wuhan), Japan (Tokyo), the Republic of Korea (Daegu), and India (Mumbai) and compared the Air Quality Index (AQI) in these areas for the past three years. The results indicated that air pollution levels were positively correlated with a reduction in pollutant levels during and after lockdowns in these cities. In Tokyo, low levels of air pollution, no significant change in the distribution of “good” and “moderate” days was observed during lockdown. In Daegu, mid-level air pollution, the percentage of “unhealthy” days (AQI>100) markedly reduced during lockdown; however, this reverted after lockdown was lifted. In Wuhan and Mumbai, high air pollution levels, the percentage of unhealthy days remarkably decreased during lockdown and continued to reduce after lockdown. It was found that PM2.5 was the critical pollutant for all cities because its sub-AQI was the largest of the six pollutant species for the majority of days. In addition, PM10 dominated the overall AQI for 2.2–9.6% of the period in Wuhan and Mumbai, and its sub-AQI reduced during lockdown. The mean sub-AQI for NO2, SO2, CO, and O3 was within the “good” category for all cities. In conclusion, the lockdown policy reduced air pollution in general and this reduction was more significant for regions with high air pollution levels., Graphical abstract Image 1, Highlights • Air pollution levels were positively correlated with their reduction during lockdown. • The percentage of “unhealthy” days decreased in Wuhan and Mumbai during lockdown. • Pollution markedly reduced during lockdown, however returned after lockdown in Daegu. • Lockdown did not significantly change air pollution levels in Tokyo. • PM2.5 was the critical/dominant air pollutant in all four cities studied.

Glassy carbon (GC) is a type of non-graphitizing disordered carbon material at ambient pressure and high temperatures, which has been widely used due to its excellent mechanical properties. Here we report the changes in the microstructure and mechanical properties of GC treated at high pressures (up to 5 GPa) and high temperatures. The formation of intermediate sp2–sp3 phases is identified at moderate treatment temperatures before the complete graphitization of GC, by analyzing synchrotron X-ray diffraction, Raman spectra, and transmission electron microscopy images. The intermediate metastable carbon materials exhibit superior mechanical properties with hardness reaching up to 10 GPa and compressive strength reaching as high as 2.5 GPa, nearly doubling those of raw GC, and improving elasticity and thermal stability. The synthesis pressure used in this study can be achieved in the industry on a commercial scale, enabling the scalable synthesis of this type of strong, hard, and elastic carbon materials.

Voting is one of the most prominent components of democracy. The one-vote veto, which requires the voting result to be only “yes” or “no”, is a particularly noteworthy type of voting with widespread application. When obtaining a “no” result, no useful information about the number of “no” votes and who votes “no” is disclosed. In this paper, we introduce a protocol for anonymous one-vote veto utilizing qubits and local Pauli operations $\mathbb {Z}$ and $\mathbb {X}$ , building simple processes for easy implementation under the current technology. For better elaboration, we give two examples: all voters cast “yes” votes and only one voter casts a “no.” Then, the corresponding experiment tests are conducted on the simulated IBM quantum computer to verify their feasibility. We also show that the proposed protocol has the desirable properties of privacy, fairness, verifiability and robustness. Furthermore, we analyze the proposed protocol’s security against cheating from eavesdroppers, a semi-honest server and malicious voters. This work is the first attempt to illustrate how qubits can be useful for building a secure anonymous one-vote veto strategy.

Missing values are not uncommon in in vivo bioequivalence (BE) studies and pose non-trivial challenges for BE assessment. Missing values typically appear as a mixture of different types, such as Missing Not at Random (MNAR) and Missing Completely at Random (MCAR), however, current data imputation methods were usually developed for a certain type of missing values (e.g., MNAR). Among them, an iterative Gibbs sampler-based left-censored missing value imputation approach (GSimp) was recently developed and showed superior performance over other methods in handling MNAR data. In this study, we introduce an improved GSimp ("Improved GSimp" thereafter) that offers flexibility in handling mixed types of missing data and better imputation accuracy to support BE assessment for studies with missing values. Simulations mimicking different missing value scenarios (e.g., mixture of different missing types and proportion of missing values) were conducted to compare performance of the Improved GSimp with other methods (e.g., original GSimp and half of minimal value). Normalized root mean square error (NRMSE) was used to evaluate imputation accuracy. Our results showed that the Improved GSimp always had the best accuracy in all simulated scenarios compared to other methods.

Bisphenol A (BPA) is a synthetic estrogen compound, which widely exists in the environment, interferes with mammalian endocrine and affects the function of reproductive system of males. Taking fresh sperm of boar, 17 ℃ preservation boar sperm, and mouse sperm as test materials, we examined the effects of BPA (0, 0.1,1,10,100 μmol∙L双酚A(BPA)是一种人工合成的雌激素性化合物,广泛存在于环境中,对哺乳动物内分泌有干扰作用,影响雄性生殖系统功能。本研究以新鲜猪精子、17 ℃保存猪精子以及小鼠精子为对象,采用体外培养方法,利用蛋白免疫印迹(WB)和免疫荧光技术,分析不同浓度BPA(0、0.1、1、10、100 μmol·L

Understanding how animal influenza A viruses (IAVs) acquire airborne transmissibility in humans and ferrets is needed to prepare for and respond to pandemics. Here, we investigated in ferrets the replication and transmission of swine H1N1 isolates P4 and G15, whose majority population had decreased polymerase activity and poor hemagglutinin (HA) stability, respectively. For both isolates, a minor variant was selected and transmitted in ferrets. Polymerase-enhancing variant PA-S321 airborne-transmitted and propagated in one ferret. HA-stabilizing variant HA1-S210 was selected in all G15-inoculated ferrets and was transmitted by contact and airborne routes. With an efficient polymerase and a stable HA, the purified minor variant G15-HA1-S210 had earlier and higher peak titers in inoculated ferrets and was recovered at a higher frequency after airborne transmission than P4 and G15. Overall, HA stabilization played a more prominent role than polymerase enhancement in the replication and transmission of these viruses in ferrets. The results suggest pandemic risk-assessment studies may benefit from deep sequencing to identify minor variants with human-adapted traits. IMPORTANCE Diverse IAVs circulate in animals, yet few acquire the viral traits needed to start a human pandemic. A stabilized HA and mammalian-adapted polymerase have been shown to promote the adaptation of IAVs to humans and ferrets (the gold-standard model for IAV replication, pathogenicity, and transmissibility). Here, we used swine IAV isolates of the gamma lineage as a model to investigate the importance of HA stability and polymerase activity in promoting replication and transmission in ferrets. These are emerging viruses that bind to both α-2,6- and α-2,3-linked receptors. Using isolates containing mixed populations, a stabilized HA was selected within days in inoculated ferrets. An enhanced polymerase was also selected and propagated after airborne transmission to a ferret. Thus, HA stabilization was a stricter requirement, yet both traits promoted transmissibility. Knowing the viral traits needed for pandemic potential, and the relative importance of each, will help identify emerging viruses of greatest concern.

Conventional treatments of bone tumor involve removal followed by radiation and chemotherapeutic drugs that may have limitations and cause secondary damage. The development of functional filling biomaterial has led to a new strategy for tumor therapy. In this study, a novel therapeutic ion selenium doped mesoporous bioactive glasses (Se/MBG) nanospheres were successfully synthesized by a facile sol–gel technique using cetyl trimethyl ammonium bromide (CTAB) as the template, which had uniform spherical morphology (≈ 400 nm), high surface area (>400 m2/g) and mesopore volume (≈0.30 cm3/g). Results showed that hydroxyapatite formation ability and controllable doxorubicin (DOX) release and distinct degradation of Se/MBG nanospheres depended on the dose of Se4+. In vitro cell cultures showed that both Se/MBG and DOX-Se/MBG nanospheres had the culture time and dose dependent cytotoxicity to MG63 osteosarcoma cells. But DOX-Se/MBG nanospheres reduced the acute cytotoxicity to MG63 because of the co-operative effect of Se and DOX. Meanwhile, Se/MBG nanospheres were found to have selective cytotoxicity to cancer cells (MG63) and normal cells (MC3T3-E1), indicating that the prepared Se/MBG nanospheres had cell recognition function. These all note that the synthesized Se/MBG nanospheres can be used as a filling biomaterial for the bone tissue engineering.

Because of the high voltage and low cost, potassium-ion batteries have become a hotspot in the research of rechargeable batteries. In this paper, the electrochemical properties of poly-p-phenylenes...

The adsorption-oxidation of Sb on manganese oxide plays an important role in controlling Sb mobility and fate in soils and sediments. Widespread organic substances such as microbes may greatly affect this process, and deserve a careful investigation. This study examines the adsorption and oxidation of Sb(III, V) on birnessite, a typical manganese oxide, with and without Bacillus cereus cells. Adsorption isotherms were conducted to explore the adsorption capacity of Sb to the birnessite–bacteria composite. X-ray photoelectron spectroscopy (XPS) was applied to determine the valence state of Mn and the adsorbed Sb species. The SEM results show that birnessite adheres to the outer surface of bacterial cells, and the aggregation of minerals occurs to a lesser extent in the presence of cells. Batch adsorption results show a much larger Sb adsorption on individual birnessite than on bacteria, and the measured Sb adsorption to the birnessite–bacteria composite is larger than that predicted assuming additive, i.e., the sum of the end-member metal adsorptivities. On birnessite, Sb(III) is predominately oxidized to Sb(V) according to the XPS analysis, and the presence of bacteria hinders this oxidation reaction. We propose that microbe−birnessite association favors the immobilization of Sb on solid phases, but can inhibit the oxidation of Sb(III) to Sb(V), which is of great significance for evaluating the toxicity, bio-availability, and mobility of Sb in both natural and contaminated environments.

N, S co-doped MnFe2O4@C magnetic nanoparticles were successfully synthesized by a simple method involving the preparation of MnFe2O4 nanoparticles and subsequent pyrolysis treatment. The physical and chemical properties of MnFe2O4, MnFe2O4@C and MnFe2O4@C–NS nanoparticles were characterized by X-ray diffraction (XRD), vibrating sample magnetometry (VSM), transmission electron microscopy (TEM), N2 adsorption–desorption and the pH at the point of zero charge. Their performances in the adsorption of Hg(II) from water were investigated. The adsorption process followed pseudo-second-order kinetics and the experimental data of equilibrium isotherms fitted well with the Langmuir model. MnFe2O4@C–NS showed the highest adsorption capacity of 108.56 mg/g, increasing more than 1.7 times compared to MnFe2O4. The enhanced adsorption performance was attributed to the larger specific surface area as well as the complexation of N and S ligands on the surface. The thermodynamic parameters of ΔH°, ΔS° and ΔG° at 30 °C were −24.39 kJ/mol, −0.046 kJ/mol K and −10.45 kJ/mol, respectively, which indicated that the adsorption of Hg(II) on MnFe2O4@C–NS was exothermic and spontaneous in nature. Moreover, MnFe2O4@C–NS showed superior selectivity towards Hg(II) compared with other metal ions generally present in mercury-containing industrial wastewater.

As an alternative to Li-ion batteries, K-ion batteries have attracted attention because of the abundant potassium reserves, low prices, and environmental friendliness of K resources. In the present...

Materials with superhard and conductive properties are valuable and have great potential applications in multifunctional devices under extreme conditions. Here we propose two carbon polymorphs with superior superhard and conductive properties via first-principle calculations. These two carbon phases, called Orth-C10 and Orth-C10’, contain 10 carbon atoms buckled through sp2-sp3 hybridized bonds in an orthorhombic unit cell with Pmmm and Pmm2 symmetry, which are energetically more stable than fullerene C60 at 0 GPa, and more favorable than graphite at the pressure above 34.4 and 45.4 GPa, respectively. More importantly, their Vickers hardness are as high as 62.2 and 59.9 GPa, respectively, close to the hardness of cubic boron nitride, the second-hardest material. Specially, Orth-C10’ owns ultra-high axial incompressibility even beyond that of diamond at a pressure above 40 GPa. Furthermore, both Orth-C10 and Orth-C10’ are metallic, which is rare in superhard carbon polymorphs. These outstanding natures make Orth-C10 and Orth-C10’ potential materials for electronic devices and mechanical tools.

Low-cost and high-safety aqueous Zn ion batteries have been considered as promising alternatives to Li-ion batteries, provided that a stable Zn metal anode could be developed. Dendrite growth and low coulombic efficiency (CE) are the primary two issues afflicting the design of advanced Zn metal anodes. Inspired by complexing agents in the electroplating industry, acetonitrile (AN) is proposed as an electrolyte additive to guide the smooth growth of Zn. The enhanced intermolecular interactions between Zn2+ and mixed H2O/AN solvents lead to the supersaturating of adatoms on the current collector, as revealed by the complementary theoretical and experimental studies. Consequently, homogeneous nucleation and smooth growth of Zn are enabled for achieving exceptional stability up to 1000 cycles with an excellent CE of 99.64% on average. Application-wise, the incorporation of a complexing agent into the electrolyte is fully compatible with the cathode while maintaining the non-flammable nature for safe operation. The solvation chemistry regulation strategy provides a promising route to stabilize Zn metal anodes.

Purpose To investigate the distribution of ultrasound cyclo plasty (UCP) probe models in Chinese glaucoma patients.Methods Patients need glaucoma surgery were recruited at Zhongshan Ophthalmic Center from January 2019 to December 2019. Patient demographics were recorded and analyzed. Visual acuity, intraocular pressure (IOP), retinal nerve fiber layer (RNFL), mean defect of visual field (MD), ocular axial length (AL) and horizontal corneal diameter (white to white, WTW) of eyes with glaucoma were measured and the UCP probe models were calculated by the use of nomogram tool and two ocular anatomical parameters: WTW and AL.Results 2000 eyes of 1281 patients were involved in this study, with 559 (43.64%) males and 722 (56.36%) females. The mean age is 61.43 ± 12.21 years old, ranged from 18 to 91. IOP ranged from 5.0 to 60.0 mmHg, with a mean of 20.07±10.71 mmHg. The mean AL and WTW are 22.96 ± 1.43 (ranged 19.07 to 35.00) and 11.55 ± 0.50 (ranged 9.6 to 13.7), respectively. According to the results calculated by nomogram tool, Chinese patients’ eyes are mainly adapted to the model 12, with a percentage of 69.05%. The model 13 and the model 11 are suitable for 26.65% and 3.35%, respectively. 0.95% of Chinese patients do not have a suitable probe model.Conclusion For Chinese patients who need glaucoma surgery, UCP probe models are mainly distributed in the model 12, followed by the model 13 and model 11 is the least used.

Product-specific guidances (PSGs) recommended by the United States Food and Drug Administration (FDA) are instrumental to promote and guide generic drug product development. To assess a PSG, the FDA assessor needs to take extensive time and effort to manually retrieve supportive drug information of absorption, distribution, metabolism, and excretion (ADME) from the reference listed drug labeling. In this work, we leveraged the state-of-the-art pre-trained language models to automatically label the ADME paragraphs in the pharmacokinetics section from the FDA-approved drug labeling to facilitate PSG assessment. We applied a transfer learning approach by fine-tuning the pre-trained Bidirectional Encoder Representations from Transformers (BERT) model to develop a novel application of ADME semantic labeling, which can automatically retrieve ADME paragraphs from drug labeling instead of manual work. We demonstrated that fine-tuning the pre-trained BERT model can outperform the conventional machine learning techniques, achieving up to 11.6% absolute F1 improvement. To our knowledge, we were the first to successfully apply BERT to solve the ADME semantic labeling task. We further assessed the relative contribution of pre-training and fine-tuning to the overall performance of the BERT model in the ADME semantic labeling task using a series of analysis methods such as attention similarity and layer-based ablations. Our analysis revealed that the information learned via fine-tuning is focused on task-specific knowledge in the top layers of the BERT, whereas the benefit from the pre-trained BERT model is from the bottom layers., Comment: 21 pages, 11 figures

By performing P doping on the Si sites in the topological semimetal Mo$_5$Si$_3$, we discover strong-coupling superconductivity in Mo$_5$Si$_{3-x}$P$_x$ (0.5 $\le$ $x$ $\le$ 2.0). Mo$_5$Si$_3$ crystallizes in the W$_5$Si$_3$-type structure with space group of $I4/mcm$ (No. 140), and is not a superconductor itself. Upon P doping, the lattice parameter $a$ decreases while $c$ increases monotonously. Bulk superconductivity is revealed in Mo$_5$Si$_{3-x}$P$_x$ (0.5 $\le$ $x$ $\le$ 2.0) from resistivity, magnetization, and heat capacity measurements. $T_c$ in Mo$_5$Si$_{1.5}$P$_{1.5}$ reaches as high as 10.8 K, setting a new record among the W$_5$Si$_3$-type superconductors. The upper and lower critical fields for Mo$_5$Si$_{1.5}$P$_{1.5}$ are 14.56 T and 105 mT, respectively. Moreover, Mo$_5$Si$_{1.5}$P$_{1.5}$ is found to be a fully gapped superconductor with strong electron-phonon coupling. First-principles calculations suggest that the enhancement of electron-phonon coupling is possibly due to the shift of the Fermi level, which is induced by electron doping. The calculations also reveal the nontrivial band topology in Mo$_5$Si$_3$. The $T_c$ and upper critical field in Mo$_5$Si$_{3-x}$P$_x$ are fairly high among pseudobinary compounds. Both of them are higher than those in NbTi, making future applications promising. Our results suggest that the W$_5$Si$_3$-type compounds are ideal platforms to search for new superconductors. By examinations of their band topologies, more candidates for topological superconductors can be expected in this structural family., Comment: 15 pages, 5 figures. Supplementary Information availabe at the corresponding DOI