Complementary Patterns Research Articles

Competing ferromagnetic superconducting states in europium-based iron pnictides

In europium-based iron pnictides superconducting Fe-planes can be influenced by a Zeeman field originated from the neighboring Eu-planes. The field tends to induce spin-density waves with a ferromagnetic average which coexists with the superconducting order by forming complementary patterns of the superconducting and magnetic order parameters in a Fulde-Ferrell-Larkin-Ovchinnikov phase and a two-dimensional textured-superconducting phase. The hard gap around the Fermi energy disappears in these fragile inhomogeneous superconducting states, which features, instead, V-shaped spin-resolved local density of states. The inhomogeneous states are also competing with either a homogeneous superconducting or a homogeneous ferromagnetic state, manifesting the intertwining influences of the magnetic orders in Fe and Eu planes, the spin-density wave band structure, and the superconducting pairing order.

Patterns of Technological Entrepreneurship and Their Determinants: Evidence from Technology-Based Manufacturing Firms in China

Abstract In this study, we argue that managing technological entrepreneurship effectively is crucial for firms’ competitive advantage and high performance. By using an inductive approach of a multiple-case study of Chinese technology-based manufacturing firms, we identify four complementary patterns of technological entrepreneurship (i.e. in-house R&D, R&D acquisition, R&D alliance, and R&D contracting) and find that possessing the uniqueness of knowledge assets and technological capabilities and capturing the value of knowledge assets and technological capabilities are the major determinants for firms to choose these patterns. Our study develops an integrative framework of technological entrepreneurship for emerging economy firms. Implications for theory, practice, and policy are discussed.

Molecular marker assisted confirmation of hybrids in coconut (Cocos nucifera L.)

Hybrid authentication is important in the selection of good quality hybrid seedlings in coconut before distribution to various stakeholders. Fourteen coconut specific SSR primer pairs were initially used to screen parental lines used in coconut hybrid nut production for polymorphism. Primers capable of differentiating parents, CncirE2 and CnCirE10 were then utilized to screen seedlings in the coconut nursery to identify true hybrids based on the complementary banding pattern of both male and female parents

Brain Connectivity Predicts Chronic Pain in Acute Mild Traumatic Brain Injury.

Previous studies have established the role of the cortico-mesolimbic and descending pain modulation systems in chronic pain prediction. Mild traumatic brain injury (mTBI) is an acute pain model where chronic pain is prevalent and complicated for prediction. In this study, we set out to study whether functional connectivity (FC) of the nucleus accumbens (NAc) and the periaqueductal gray matter (PAG) is predictive of pain chronification in early-acute mTBI. To estimate FC, resting-state functional magnetic resonance imaging (fMRI) of 105 participants with mTBI following a motor vehicle collision was acquired within 72 hours post-accident. Participants were classified according to pain ratings provided at 12-months post-collision into chronic pain (head/neck pain ≥30/100, n=44) and recovery (n=61) groups, and their FC maps were compared. The chronic pain group exhibited reduced negative FC between NAc and a region within the primary motor cortex corresponding with the expected representation of the area of injury. A complementary pattern was also demonstrated between PAG and the primary somatosensory cortex. PAG and NAc also shared increased FC to the rostral anterior cingulate cortex (rACC) within the recovery group. Brain connectivity further shows high classification accuracy (area under the curve [AUC]=.86) for future chronic pain, when combined with an acute pain intensity report. FC features obtained shortly after mTBI predict its transition to long-term chronic pain, and may reflect an underlying interaction of injury-related primary sensorimotor cortical areas with the mesolimbic and pain modulation systems. Our findings indicate a potential predictive biomarker and highlight targets for future early preventive interventions. ANN NEUROL 2022;92:819-833.

Closely arranged self‐decoupled MIMO antenna group using orthogonal mode and pattern diversity for 5G mobile terminals

In this article, a novel self-decoupling method for closely arranged multi-unit antenna array design is proposed. The orthogonal mode and the pattern diversity are adopted to weaken the electromagnetic coupling between the multi-antenna elements. To verify the proposed self-decoupling concept, a closely arranged 4-port antenna group consisting of dual antenna pairs is designed. One of the antenna pairs is composed of overlapping loop antenna and monopole, and the other antenna pair shares a radiator, which are arranged on the upper and lower sides of the metal ground respectively. The proposed 4-port antenna group exhibits good isolation and complementary patterns without adding any extra decoupling structures. Based on the proposed self-decoupled 4-port antenna group, a 16 × 16 multiple-input multiple-output (MIMO) antenna array is constructed. The simulated and measured results show that the proposed 16 × 16 MIMO array has good antenna performance, such as isolation better than 15 dB, efficiency higher than 51% and channel capacity about 73 bps/Hz with 20 dB SNR. The proposed design concept is a great choice for highly integrated multi-antenna array and 5G mobile terminal.

Coseismic slip and early afterslip of the 2021 Mw 7.4 Maduo, China earthquake constrained by GPS and InSAR data

The 2021 Mw 7.4 Maduo earthquake occurred on the left-lateral Kunlun Pass-Jiangcuo fault (KPJF) located within the Bayan Har block, Tibetan Plateau, caused an ∼165-km-long surface rupture and widespread ground deformation. This earthquake was well recorded by SAR images and our near-field GPS network during the coseismic and postseismic periods, providing a rare opportunity to shed light on the seismic and aseismic slip behaviors on the slow-slipping causative fault. Here, we constrain the coseismic slip distribution of the 2021 Maduo earthquake by the joint use of InSAR and near-field GPS observations. Then, time-dependent afterslip evolution is inverted from cGPS and InSAR time series in the first ∼160 days after the mainshock. The results show that the mainshock involves five asperities with a maximum slip of 4.79 m, including an E-W trending main fault and a secondary fault locates on the eastern end of the main fault. The significant energy released near Changmahe Township could be partialy explained by the fact that the seismogenic fault here cut through the pre-existing NW-SE trending faults. Afterslip played a dominant role in the early postseismic deformation, which has released seismic moment equivalent to an Mw 6.78 earthquake, 10.3% of the coseismic moment. The seismic and aseismic slip distributions have complementary patterns in spatial, except for the overlaps on the Changmahe segment, suggesting the heterogeneity of frictional property on the fault plane. The rupture of the Maduo earthquake is located in the stress shadow induced by historical earthquakes, indicating the high accumulated stress on the KPJF. The stress level, as well as the potential seismic hazard on the ∼300-km-long seismic gap between the 2001 Kokoxili earthquake and the 2021 Maduo earthquake, is further raised by the historical events.

Evaluation of Activity of Sesquiterpene Lactones and Chicory Extracts as Acetylcholinesterase Inhibitors Assayed in Calorimetric and Docking Simulation Studies.

The aim of the study was to explain the effects of sesquiterpene lactones (SLs) from chicory (Cichorium intybus L.) root extracts as inhibitors of acetylcholinesterase (AChE) at the molecular level and to determine the inhibition of AChE activity by specific SLs (lactucin and lactucopicrin) and different chicory extracts. The obtained SLs-rich extracts were purified by the countercurrent partition chromatography (CPC) technique. AChE inhibitors were analyzed using two models: isothermal titration calorimetry (ITC) and docking simulation. The results of ITC analysis of the enzyme and the ligands’ complexation showed strong interactions of SLs as well as extracts from chicory with AChE. In a test of enzyme activity inhibition after introducing acetylcholine into the model system with SL, a stronger ability to inhibit the hydrolysis of the neurotransmitter was observed for lactucopicrin, which is one of the dominant SLs in chicory. The inhibition of enzyme activity was more efficient in the case of extracts, containing different enzyme ligands, exhibiting complementary patterns of binding the AChE active site. The study showed the high potential of using chicory to decrease the symptoms of Alzheimer’s disease.

The Effectiveness of Blended Learning Model on Rhythmic Activity Courses Based on Complementary Work Patterns

This study aims to identify and analyze problems lecturers and students face in developing the Blended Learning model based on Complementary Work Patterns in the rhythmic activity course for PJKR students in the 2021/2022 academic year. This study uses research from Borg and Gall through 10 stages, including: (1) Preliminary Study, (2) Research planning, (3) Initial product development, (4) Initial (limited) field trial, (5) Revision of field test results limited, (6) More comprehensive field test, (7) Revised field test results, (8) Feasibility test, (9) Revision of feasibility test results, (10) Dissemination and socialization of the final product. The population of this research is the students of the Physical Education, Health and Recreation Study Program who are taking rhythmic activity gymnastics courses in the 2021/2022 academic year totaling 115 people. The research instruments used were questionnaires, expert observations, interviews, documentation, and observation sheets. The approach used in this research is a qualitative approach used to complete the first objective, while a quantitative approach is used to reveal the second objective with a before-after experimental research design.

Multimodal neuroimage data fusion based on multikernel learning in personalized medicine.

Neuroimaging has been widely used as a diagnostic technique for brain diseases. With the development of artificial intelligence, neuroimaging analysis using intelligent algorithms can capture more image feature patterns than artificial experience-based diagnosis. However, using only single neuroimaging techniques, e.g., magnetic resonance imaging, may omit some significant patterns that may have high relevance to the clinical target. Therefore, so far, combining different types of neuroimaging techniques that provide multimodal data for joint diagnosis has received extensive attention and research in the area of personalized medicine. In this study, based on the regularized label relaxation linear regression model, we propose a multikernel version for multimodal data fusion. The proposed method inherits the merits of the regularized label relaxation linear regression model and also has its own superiority. It can explore complementary patterns across different modal data and pay more attention to the modal data that have more significant patterns. In the experimental study, the proposed method is evaluated in the scenario of Alzheimer’s disease diagnosis. The promising performance indicates that the performance of multimodality fusion via multikernel learning is better than that of single modality. Moreover, the decreased square difference between training and testing performance indicates that overfitting is reduced and hence the generalization ability is improved.

Rupture process of the 2020 Mw = 6.9 Samos, Greece earthquake on a segmented fault system constrained from seismic, geodetic, and tsunami observations

The seismic, geodetic, and tsunami observations are utilized to investigate the October 30th 2020 Samos, Greece earthquake. We adopt back projection (BP) and multi-point source (MPS) techniques to determine the rupture directivity and focal mechanism change of this event. Both methods reveal a unilateral rupture propagation to the west of the epicenter, and also resolve a changed focal mechanism. We use a two-segment-faults geometry to parameterize the fault model with strikes at 283° for the east segment and 250° for the west respectively, and conduct a finite fault inversion (FFI) combining seismic and geodetic observations. The kinematics results indicate the whole rupture process lasts about 25 s, yielding a total seismic moment of 3.16×1019 Nm (Mw = 6.9) with a peak moment rate reaching 3.1×1018 Nm/s around 10 s. The rupture is composed of two asperities separated by the junction of two fault planes. The main slip area, with maximum amplitude reaching three meters, distributes at a shallow depth and displays a complementary pattern with aftershocks. The slip in the first six seconds is dominated by a pure normal faulting mechanism, while the following rupture includes an additional strike-slip component. The change of focal mechanism reflects the tectonic transition from dilatation to lateral shearing, which is also evident in the aftershock mechanisms. The synthetic tsunami waves also well fit three tidal gauge observations. The coseismic Coulomb stress is calculated to analyze the relationship between the mainshock and aftershock evolution. The mechanism combination of two rupture epochs reflects the combination of shear and dilatational stress status and complicated fault system of the Samos source area.

Discovery and Exclusion Prospects for Staus Produced by Heavy Higgs Boson Decays at the LHC

In a previous work, we developed a search strategy for staus produced by the decay of the heavy CP-even Higgs bosonHwithin the context of the largetanβregime of the minimal supersymmetric standard model (MSSM) in a scenario of large stau mixing. Here, we study the performance of such search strategy by confronting it with the complementary mixing pattern in which decays of both the CP-even and CP-odd heavy Higgs bosons contribute to the production ofτ~1τ~2∗+c.cpairs. Again, we focus on final states with two opposite-sign tau leptons and large missing transverse energy. We find that our proposed search strategy, although optimized for the large stau mixing scenario, is still quite sensitive to the complementary mixing pattern. We also extend the results reported in the preceding work for the large mixing scenario by including now the exclusion limits at the next run of the LHC and the prospects both for exclusion and discovery in a potential high-luminosity phase. Finally, we discuss the possibility to distinguish the two mixing scenarios when they share the same relevant mass spectrum and both reach the discovery level with our search strategy.

Enhanced axial resolution of lattice light sheet microscopy by fluorescence differential detection.

Lattice light-sheet microscopy (LLSM) is promising in long-term biological volumetric imaging due to its high spatiotemporal resolution and low phototoxicity. However, three-dimensional (3D) isotropic spatial resolution remains an unmet goal in LLSM because of its poorer axial resolution. Combing LLSM with fluorescence differential detection, namely LLSDM, has been proposed to improve the axial resolution of LLSM in simulation. It demonstrates the possibility of further enhancing the axial resolution in 3D volumetric imaging with LLSM by specifically discarding the off-focus photons captured using a complementary optical lattice (OL) profile generated with additional 0-π phase modulation at the objective pupil plane. The direct generation of the complementary lattice profile using the binary phase modulator conjugated to the sample plane for amplitude modulation, as used in LLSM, is also permittable. Nevertheless, the previously proposed configuration fails to provide a symmetric complementary lattice pattern along the axial axis, thus leading to the imbalanced off-focus photon suppression in the reconstructed images after subtraction [Opt. Lett.45, 2854 (2020)10.1364/OL.393378]. Here, we modified the LLSDM theory which can produce an ideal complementary lattice pattern with central zero intensity and symmetrically distributed sidelobes. We also analyzed the impact of numerical aperture matching between the original and complementary lattice patterns and presented the consistency between the simulated and experimental results. As demonstrated by imaging the distribution of fluorescent beads and microtubules in fixed U2OS cells, as well as the dynamics of filopodia in live U2OS cells, LLSDM provides about 1.5 times improvement in axial resolution, and higher imaging contrast compared with traditional LLSM.

The telomere-to-telomere gap-free genome of four rice parents reveals SV and PAV patterns in hybrid rice breeding.

The telomere-to-telomere gap-free genome of four rice parents reveals SV and PAV patterns in hybrid rice breeding.

A Seemingly Paradoxical Relationship Between Masturbation Frequency and Sexual Satisfaction

Despite many benefits related to masturbation, we know surprisingly little about how solo sex is associated with sexual satisfaction. Using questionnaire data from a probability-based sample of 4,160 Norwegians aged 18–89 years, we explored subgroups of women and men that differed in their masturbation–sexual satisfaction typology and examined whether sociodemographic, psychological, and sexual behavioral characteristics were associated with distinct masturbation–satisfaction patterns. A cluster analysis revealed four similar groupings for women and men, reflecting sex lives characterized by high masturbation/sexual satisfaction, low masturbation/sexual satisfaction, high masturbation/sexual dissatisfaction, or low masturbation/sexual dissatisfaction. While being younger, higher pornography consumption, and sexual variety were primarily associated with increased masturbation frequency, sexual distress and a negative body and genital self-image were more clearly associated with sexual dissatisfaction. Predicting different masturbation–satisfaction groupings also revealed some gender-specific findings in the use of pornography, and in the association between masturbation and intercourse frequency, which suggested a complementary pattern for women and a compensatory pattern for men. Our findings emphasize that the linkage between masturbation and sexual satisfaction warrants closer focus.

New Subregions of the Mouse Entopeduncular Nucleus Defined by the Complementary Immunoreactivities for Substance P and Cannabinoid Type-1 Receptor Combined with Distributions of Different Neuronal Types

The entopeduncular nucleus (EPN) and substantia nigra pars reticulata (SNr) constitute the output nuclei of the basal ganglia, but studies on the EPN are limited compared with those on the SNr. Both nuclei receive projections from the striatum with axons containing substance P (SP) and cannabinoid type-1 receptor (CB1R), and immunoreactivities for these substances show complementary patterns in the striatum and SNr. In this study, we revealed a similar complementarity in the mouse EPN, combined it with region-specific neuronal distributions, and defined subregions of the EPN. First, the EPN was divided into two areas, one showing low SP and high CB1R (lSP/hCB1R) immunoreactivities, and the other showing high SP and low CB1R (hSP/lCB1R). The former received inputs from the dorsolateral striatum that are innervated by sensorimotor cortices, whereas the latter received inputs from the medial striatum that are innervated by limbic/association cortices. Then, the lSP/hCB1R area was further divided into the dorsolateral subregion in the rostral EPN and the core subregion in the caudal EPN, the latter characterized by the concentration of parvalbumin-positive neurons targeting the ventral anterior–ventral lateral thalamic nucleus. The hSP/lCB1R area was divided into the ventromedial subregion in the rostral EPN and the shell subregion in the caudal EPN, the former characterized by the concentration of nitric oxide synthase-positive neurons targeting the lateral habenula (LHb). Somatostatin-positive neurons targeting the LHb were located diffusely in three subregions other than the core. These findings illuminate structural organization inside the basal ganglia, suggesting mechanisms for sorting diverse information through parallel loops with differing synaptic modulation by CB1R.

Piped water revenue and investment strategies in rural Africa

Abstract Viable pathways to universal safely managed drinking water access in rural Africa involve a blend of infrastructure types, service delivery arrangements, and sources of finance. Priorities are shaped by institutional and economic barriers and are often based on assumptions regarding user demand and revenue sustainability. Improved understanding of how alternative approaches affect revenue generated from user payments can enhance long-term viability and repayment capacity of rural piped water services. We analyse more than 3,900 monthly records from operators in Ghana, Rwanda, and Uganda and model revenue patterns for novel service area archetypes. Results indicate on and off premises connections exhibit complementary revenue patterns, with volumetric revenue determined by tariff level rather than connection type and waterpoints with the greatest dispensing capacity generating the most aggregate revenue. The prepaid credit payment approach, which is increasingly promoted to enhance revenue collection efficiency, is not associated with revenue advantages compared to pay-as-you-fetch and monthly billing approaches when tariff level is controlled. These patterns are recurrent at multi- and single country scales and across service areas where public and enterprise-led investment approaches to infrastructure development are taken, suggesting the findings may be applicable beyond the study domain. Infrastructure investment strategies can promote revenue and equity goals through off-site piped water, but more evidence is needed to understand the trade-offs of prepaid credit systems.

Design Rules of Hydrogen-Bonded Organic Frameworks with High Chemical and Thermal Stabilities.

Hydrogen-bonded organic frameworks (HOFs), self-assembled from strategically pre-designed molecular tectons with complementary hydrogen-bonding patterns, are rapidly evolving into a novel and important class of porous materials. In addition to their common features shared with other functionalized porous materials constructed from modular building blocks, the intrinsically flexible and reversible H-bonding connections endow HOFs with straightforward purification procedures, high crystallinity, solution processability, and recyclability. These unique advantages of HOFs have attracted considerable attention across a broad range of fields, including gas adsorption and separation, catalysis, chemical sensing, and electrical and optical materials. However, the relatively weak H-bonding interactions within HOFs can potentially limit their stability and potential use in further applications. To that end, this Perspective highlights recent advances in the development of chemically and thermally robust HOF materials and systematically discusses relevant design rules and synthesis strategies to access highly stable HOFs.

Multi-slice ptychographic imaging with multistage coarse-to-fine reconstruction.

The ability to image 3D samples with optical sectioning is essential for the study of tomographic morphology in material and biological sciences. However, it is often hampered by limitations of acquisition speed and equipment complexity when performing 3D volumetric imaging. Here, we propose, to the best of our knowledge, a new method for 3D reconstruction from a minimum of four intensity-only measurements. The complementary structured patterns provided by the digital micromirror device (DMD) irradiate the outermost layer of the sample to generate the corresponding diffraction intensities for recording, which enables rapid scanning of loaded patterns for fast acquisition. Our multistage reconstruction algorithm first extracts the overall coarse-grained information, and then iteratively optimizes the information of different layers to obtain fine features, thereby achieving high-resolution 3D tomography. The high-fidelity reconstruction in experiments on two-slice resolution targets, unstained Polyrhachis vicina Roger and freely moving C. elegans proves the robustness of the method. Compared with traditional 3D reconstruction methods such as interferometry-based methods or Fourier ptychographic tomography (FPT), our method increases the reconstruction speed by at least 10 times and is suitable for label-free dynamic imaging in multiple-scattering samples. Such 3D reconstruction suggests potential applications in a wide range of fields.

HUBUNGAN POLA PEMBERIAN ASI DAN MP-ASI DENGAN SKOR PB/U PADA ANAK USIA 6-23 BULAN DI DESA KEMBANGAN KECAMATAN BONANG KABUPATEN DEMAK

Stunting is a chronic nutritional problem that can describe growth failure since before and after birth. Factors that also influence the incidence of stunting include the pattern of breastfeeding and complementary feeding. The stunting rate in Kembangan village, Demak Regency is 80 cases. The purpose of this study was to analyze the relationship between breastfeeding and complementary feeding patterns with Z PB/U scores in children aged 6-23 months. The type of research used is explanatory research with a cross sectional approach. The research population is 138 toodler under two. Research subjects were found to be 65, selected by purposive sampling. The research instrument consisted of a structured questionnaire used to obtain the characteristics of the subject and exclusive breastfeeding, a1x24 hour recall form, and food photo book used to determine the amount of complementary feeding, infantometer for body length, and WHO anthro determines the PB/U index. Statistic test used Spearman Rank correlation. 73,8% of children did not initiate early breastfeeding, 38,5% less breastfeeding, 47,7% less duration of breastfeeding, 69,2% of children not exclusively breastfeed. The first age of children eating inappropriately was 69,2%, the frequency of eating was not appropriate as much as 41,5%, the portion of food was not appropriate as much as 43,1%, the texture of thee food was not appropriate as much as 16,9%. The Z PB/U score for short children was 26,2%. There is a relationship between breastfeeding patterns (p=0,003) and complementary feeding patterns (p=0,001) with Z PB/U scores. Inappropriate breastfeeding and complementary feeding are related to the Z PB/U score of children aged 6-23 months.

Memory-inspired spiking hyperdimensional network for robust online learning

Recently, brain-inspired computing models have shown great potential to outperform today’s deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking Neural Networks (SNNs) and HyperDimensional Computing (HDC) have shown promising results in enabling efficient and robust cognitive learning. Despite the success, these two brain-inspired models have different strengths. While SNN mimics the physical properties of the human brain, HDC models the brain on a more abstract and functional level. Their design philosophies demonstrate complementary patterns that motivate their combination. With the help of the classical psychological model on memory, we propose SpikeHD, the first framework that fundamentally combines Spiking neural network and hyperdimensional computing. SpikeHD generates a scalable and strong cognitive learning system that better mimics brain functionality. SpikeHD exploits spiking neural networks to extract low-level features by preserving the spatial and temporal correlation of raw event-based spike data. Then, it utilizes HDC to operate over SNN output by mapping the signal into high-dimensional space, learning the abstract information, and classifying the data. Our extensive evaluation on a set of benchmark classification problems shows that SpikeHD provides the following benefit compared to SNN architecture: (1) significantly enhance learning capability by exploiting two-stage information processing, (2) enables substantial robustness to noise and failure, and (3) reduces the network size and required parameters to learn complex information.