Mechanism Of Information Transfer Research Articles

Fast long-range charge transfer in quantum dot arrays

Charge, spin and quantum states transfer in solid state devices is an important issue in quantum information. Adiabatic protocols, such as coherent transfer by adiabatic passage have been proposed for direct charge transfer, also denoted as long-range transfer, between the outer dots in a QD array without occupying the intermediate ones. However adiabatic protocols are prone to decoherence. With the aim of achieving direct charge transfer between the outer dots of a QD array with high fidelity, we propose a protocol to speed up the adiabatic transfer, in order to increase the fidelity of the process. Based on adiabaticity shortcuts, by properly engineering the pulses, fast adiabatic-like direct charge transfer between the outer dots can be obtained. We also discuss the impact of transfer fidelity on the operation time in the presence of dephasing. The proposed protocols for accelerating long-range charge and state transfer in a QD array offer a robust mechanism for quantum information transfer, by minimizing the decoherence and relaxation processes.

CEO board membership: implications for firm value

PurposeThis paper aims to examine the relation between CEO board membership and firm performance.Design/methodology/approachThis paper investigates the relationship between firm performance and CEO board membership, applying two-stage least squares, propensity score matching and correcting for self-selection bias across a unique sample of publicly listed New Zealand firms that demonstrate a definitive variation in CEO board membership.FindingsThis study finds that CEO board membership has a positive impact on firm performance, and these benefits are greater for more complex firms.Research limitations/implicationsFirms with CEOs independent of the board are associated with lower firm performance. The results are consistent with CEO board members providing an important information transfer mechanism to the board, resulting in an increase in average firm performance. This benefit is greater for larger firms with more business segments.Originality/valueThe paper tests for the impact of CEO board membership using a data set that demonstrates a definitive variation in CEO board membership.

Frontal delta-beta cross-frequency coupling in high and low social anxiety: An index of stress regulation?

Cross-frequency coupling (CFC) between frontal delta (1–4 Hz) and beta (14–30 Hz) oscillations has been suggested as a candidate neural correlate of social anxiety disorder, a disorder characterized by fear and avoidance of social and performance situations. Prior studies have used amplitude-amplitude correlation (AAC) as a CFC measure and hypothesized it as a candidate neural mechanism of affective control. However, using this metric has yielded inconsistent results regarding the direction of CFC, and the functional significance of coupling strength is uncertain. To offer a better understanding of CFC in social anxiety, we compared frontal delta-beta AAC with phase-amplitude coupling (PAC) – a mechanism for information transfer through neural circuits. Twenty high socially anxious (HSA) and 32 low socially anxious (LSA) female undergraduates participated in a social performance task (SPT). Delta-beta PAC and AAC were estimated during the resting state, as well as the anticipation and recovery conditions. Results showed significantly more AAC in LSA than HSA participants during early anticipation, as well as significant values during all conditions in LSA participants only. PAC did not distinguish between LSA and HSA participants, and instead was found to correlate with state nervousness during early anticipation, but in LSA participants only. Together, these findings are interpreted to suggest that delta-beta AAC is a plausible neurobiological index of adaptive stress regulation and can distinguish between trait high and low social anxiety during stress, while delta-beta PAC might be sensitive enough to reflect mild state anxiety in LSA participants.

Does similarity in call structure or foraging ecology explain interspecific information transfer in wild Myotis bats?

Animals can gain important information by attending to the signals and cues of other animals in their environment, with acoustic information playing a major role in many taxa. Echolocation call sequences of bats contain information about the identity and behaviour of the sender which is perceptible to close-by receivers. Increasing evidence supports the communicative function of echolocation within species, yet data about its role for interspecific information transfer is scarce. Here, we asked which information bats extract from heterospecific echolocation calls during foraging. In three linked playback experiments, we tested in the flight room and field if foraging Myotis bats approached the foraging call sequences of conspecifics and four heterospecifics that were similar in acoustic call structure only (acoustic similarity hypothesis), in foraging ecology only (foraging similarity hypothesis), both, or none. Compared to the natural prey capture rate of 1.3 buzzes per minute of bat activity, our playbacks of foraging sequences with 23–40 buzzes/min simulated foraging patches with significantly higher profitability. In the flight room, M. capaccinii only approached call sequences of conspecifics and of the heterospecific M. daubentonii with similar acoustics and foraging ecology. In the field, M. capaccinii and M. daubentonii only showed a weak positive response to those two species. Our results confirm information transfer across species boundaries and highlight the importance of context on the studied behaviour, but cannot resolve whether information transfer in trawling Myotis is based on acoustic similarity only or on a combination of similarity in acoustics and foraging ecology.Significance statementAnimals transfer information, both voluntarily and inadvertently, and within and across species boundaries. In echolocating bats, acoustic call structure and foraging ecology are linked, making echolocation calls a rich source of information about species identity, ecology and activity of the sender, which receivers might exploit to find profitable foraging grounds. We tested in three lab and field experiments if information transfer occurs between bat species and if bats obtain information about ecology from echolocation calls. Myotis capaccinii/daubentonii bats approached call playbacks, but only those from con- and heterospecifics with similar call structure and foraging ecology, confirming interspecific information transfer. Reactions differed between lab and field, emphasising situation-dependent differences in animal behaviour, the importance of field research, and the need for further studies on the underlying mechanism of information transfer and the relative contributions of acoustic and ecological similarity.

Cognitive task information is transferred between brain regions via resting-state network topology

Resting-state network connectivity has been associated with a variety of cognitive abilities, yet it remains unclear how these connectivity properties might contribute to the neurocognitive computations underlying these abilities. We developed a new approach—information transfer mapping—to test the hypothesis that resting-state functional network topology describes the computational mappings between brain regions that carry cognitive task information. Here, we report that the transfer of diverse, task-rule information in distributed brain regions can be predicted based on estimated activity flow through resting-state network connections. Further, we find that these task-rule information transfers are coordinated by global hub regions within cognitive control networks. Activity flow over resting-state connections thus provides a large-scale network mechanism for cognitive task information transfer and global information coordination in the human brain, demonstrating the cognitive relevance of resting-state network topology.

Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks

Correlated neural activities such as synchronizations can significantly alter the characteristics of spike transfer between neural layers. However, it is not clear how this synchronization-dependent spike transfer can be affected by the structure of convergent feedforward wiring. To address this question, we implemented computer simulations of model neural networks: a source and a target layer connected with different types of convergent wiring rules. In the Gaussian-Gaussian (GG) model, both the connection probability and the strength are given as Gaussian distribution as a function of spatial distance. In the Uniform-Constant (UC) and Uniform-Exponential (UE) models, the connection probability density is a uniform constant within a certain range, but the connection strength is set as a constant value or an exponentially decaying function, respectively. Then we examined how the spike transfer function is modulated under these conditions, while static or synchronized input patterns were introduced to simulate different levels of feedforward spike synchronization. We observed that the synchronization-dependent modulation of the transfer function appeared noticeably different for each convergence condition. The modulation of the spike transfer function was largest in the UC model, and smallest in the UE model. Our analysis showed that this difference was induced by the different spike weight distributions that was generated from convergent synapses in each model. Our results suggest that, the structure of the feedforward convergence is a crucial factor for correlation-dependent spike control, thus must be considered important to understand the mechanism of information transfer in the brain.

Abnormal cortical-basal ganglia network in amyotrophic lateral sclerosis: A voxel-wise network efficiency analysis

Evidence suggests that dysfunctional cortical-basal ganglia (CBG) network plays important roles in the motor symptoms in amyotrophic lateral sclerosis (ALS). However, little effort has been made to investigate the functional abnormalities of CBG network in ALS. Here, we constructed voxel-wise CBG networks using the resting-state fMRI data of 20 patients with ALS and 21 normal controls, and characterized the differences of their efficiency parameters between the two groups. Compared to normal controls, patients with ALS exhibited decreased nodal efficiency in the right thalamus (THA), the left caudate (CAU) and the right precentral gyrus (preCG), and increased nodal efficiency in the left preCG. In the patient group, we observed a significant negative correlation between the nodal efficiency of the right preCG and disease progression rate. These results demonstrate that both ineffective information transfer and compensatory mechanisms are involved in the pathophysiological mechanism underlying the motor dysfunctions in patients with ALS. In summary, the present study provides a novel perspective on pathophysiological explanation for the motor symptoms in patients with ALS.

Stochastic, structural and functional factors influencing AMPA and NMDA synaptic response variability: a review.

Synaptic transmission is the basic mechanism of information transfer between neurons not only in the brain, but along all the nervous system. In this review we will briefly summarize some of the main parameters that produce stochastic variability in the synaptic response. This variability produces different effects on important brain phenomena, like learning and memory, and, alterations of its basic factors can cause brain malfunctioning.

Low-frequency oscillations employ a general coding of the spatio-temporal similarity of dynamic faces

Brain networks use neural oscillations as information transfer mechanisms. Although the face perception network in occipitotemporal cortex is well-studied, contributions of oscillations to face representation remain an open question. We tested for links between oscillatory responses that encode facial dimensions and the theoretical proposal that faces are encoded in similarity-based “face spaces”. We quantified similarity-based encoding of dynamic faces in magnetoencephalographic sensor-level oscillatory power for identity, expression, physical and perceptual similarity of facial form and motion. Our data show that evoked responses manifest physical and perceptual form similarity that distinguishes facial identities. Low-frequency induced oscillations (< 20Hz) manifested more general similarity structure, which was not limited to identity, and spanned physical and perceived form and motion. A supplementary fMRI-constrained source reconstruction implicated fusiform gyrus and V5 in this similarity-based representation. These findings introduce a potential link between “face space” encoding and oscillatory network communication, which generates new hypotheses about the potential oscillation-mediated mechanisms that might encode facial dimensions.

Remote Perturbations in Tertiary Contacts Trigger Ligation of Lysine to the Heme Iron in Cytochrome c.

Perturbations in protein structure define the mechanism of allosteric regulation and biological information transfer. In cytochrome c (cyt c), ligation of Met80 to the heme iron is critical for the protein's electron-transfer (ET) function in oxidative phosphorylation and for suppressing its peroxidase activity in apoptosis. The hard base Lys is a better match for the hard ferric iron than the soft base Met is, suggesting the key role of the protein scaffold in favoring Met ligation. To probe the role of the protein structure in the maintenance of Met ligation, mutations T49V and Y67R/M80A were designed to disrupt hydrogen bonding and packing of the heme coordination loop, respectively. Electronic absorption, nuclear magnetic resonance, and electron paramagnetic resonance spectra reveal that ferric forms of both variants are Lys-ligated at neutral pH. A minor change in the tertiary contacts in T49V, away from the heme coordination loop, appears to be sufficient to execute a change in ligation, suggesting a cross-talk between the different regions of the protein structure and a possibility of built-in conformational switches in cyt c. Analyses of thermodynamic stability, kinetics of Lys binding and dissociation, and the pH-dependent changes in ligation provide a detailed characterization of the Lys coordination in these variants and relate these properties to the extent of structural perturbations. The findings emphasize the importance of the hydrogen-bonding network in controlling ligation of the native Met80 to the heme iron.

That certain something! Focusing on similarities reduces judgmental uncertainty

Comparative thinking is an efficient cognitive strategy that reduces judgmental uncertainty. However, comparisons may be conducted with a focus on similarities or differences. Similarity-focused comparisons seem to facilitate information-transfer, which has been suggested to drive the uncertainty-reducing effect of comparisons. This implies that similarity-focused comparisons reduce uncertainty more than dissimilarity-focused comparisons. Two experiments examine this assumption. In Study 1, a similarity-focus (compared to a difference-focus and a neutral control condition) increased judgmental certainty when the comparison was based on confident standard-knowledge. However, when the comparison was based on vague standard-knowledge the uncertainty-reducing effect diminished. Study 2 shows that a similarity-focus increases information-transfer and that a similarity-focus particularly enhanced certainty for judgments for which a standard-to-target information-transfer had occurred. These studies suggest that similarity-focused comparisons reduce judgmental uncertainty through the mechanism of information-transfer.

Supramolecular Chirogenesis in Bis- and Multi-Porphyrin Systems: Recent Developments and Further Perspectives

Supramolecular chirogenesis is a fundamentally novel interdisciplinary field of research being a smart combination of supramolecular/nano chemistry and chiral science. Supramolecular chirogenesis deals with the phenomenon of “symmetry breaking” in achiral multi- or unimolecular host systems by chiral guests (and vice versa), and is achieved by the rational application of specific non-covalent interactions via a chirality information transfer mechanism. Recently, we have discovered a novel and very efficient supramolecular chirogenic system based upon an achiral ethane-bridged bis(metallo- or free base octaethylporphyrin).1-6 Upon interaction with the corresponding chiral guests, there are ligand induced structural deformations in the achiral host, resulting in a asymmetric orientation of the two porphyrin units and subsequent pronounced and easily detectable spectral changes monitored by various spectroscopies. Particularly, through-space exciton coupling between the porphyrin electronic transitions induces bisignate Cotton effects in the circular dichroism (CD) spectra. Significantly, the sign of the observed CD couplet is unequivocally correlated with the absolute configuration of the chiral ligand used, allowing us to develop an absolute configuration sensor for enantiopure amines, alcohols, acids. This system possesses a high degree of chiroptical activity, which allows the differentiation of one of the smallest homologous elements of organic chemistry, i.e. the methylene subunit, such as between methyl and ethyl groups attached to the asymmetric carbon; further, it is able to sense a remote chiral center at a position beta to the binding group. It was also found that this system is highly sensitive to various internal and external controlling factors such as the structure of guest molecules, stoichiometry, number of binding sites, solvent, temperature and phase transition. Further developments and prospects toward new chirogenic systems on the basis of heterometallic bis- and multi-porphyrin structures will be discussed. V. Borovkov, Symmetry 2014, 6, 256.V. Borovkov, Symmetry 2010, 2, 184.V. Borovkov, Y. Inoue, Eur. J. Org. Chem. 2009, 189.G. A. Hembury, V. V. Borovkov, Y. Inoue, Chem. Rev. 2008, 108, 1V. V. Borovkov, Y. Inoue, Top. Curr. Chem. 2006, 265, 89.V. V. Borovkov, G. A. Hembury, Y. Inoue, Acc. Chem. Res. 2004, 37, 449.

Evidence for Behaviorally Segregated, Spatiotemporally Overlapping Subnetworks in Phantom Sound Perception.

One of the most intriguing questions in neuroscience is to understand the mechanism of information transfer between different brain areas. Recently, network theory has gained traction and is at the forefront of providing a possible explanation to not only the mechanism of information transfer but also in the identification of different neuropathologies. The perception of a phantom ringing in the ear called tinnitus, similar to other neuropathologies, has been shown to be accompanied by aberrant functional connectivity between different brain areas. Although, there have been independent studies showing that specific groups of areas encode individual symptoms of tinnitus, there has not been one study to show that tinnitus is the unified percept of distinguishable subnetworks encoding different behavioral aspects. This study combines resting-state functional connectivity obtained from the source-localized electroencephalography of 311 tinnitus patients and 264 controls, and a k-fold cross-validation machine learning algorithm to develop a predictive model that verifies the presence of behaviorally specific, spatiotemporally overlapping subnetworks in tinnitus. This reorganization is found to be exclusive to tinnitus, even when compared to physiologically similar disorders such as chronic pain, with each behavioral symptom having a unique oscillatory signature. This frequency-specific transmission of information, called multiplexing, enables different types of information to be carried between two brain regions through the same anatomical connection. In addition to understanding the efficient compensation mechanism of the brain in the presence of multisymptom disorders, the exclusivity of the prediction model presents an encouraging possibility for an objective neural marker for tinnitus.

SYSTEMATIZATION OF SCIENTIFIC APPROACHES TO THE INTERPRETATION OF INFORMATION ECONOMY

The purpose of the article is to analyse and systematize scientific approaches to the interpretation of the essence of the information economy. The research object: scientific approaches to the interpretation of the essence of the concept of “information economy”. The theoretical and methodological base of the research consists of works by D. Bell, Z. Brzezinski, J. Baudrillard, M. Castells, Yoneji Masuda, F. Machlup, M. Porat, A. Toffler, which are devoted to issues of development of information society. Analysis of recent research and publications allows noting an increasing scientific interest in issues of formation of the economy of information type. The essence and features of information economy are considered in scientific papers of scholars such as Hrynkevych S., Iliash A., Krystynevych S., Malyk I., Nikolaiev Ye., Bazhal Yu., Tolstiakov R., Shkarlet S., Fedulova L., Chukhno A., and others. Research methods: analysis, content analysis, synthesis, system method. Increasing scientific interest in the formation of the information economy leads to an increase in the number of publications on this topic; pluralism of scientific approaches to the consideration of the essence of the information economy actualizes the need for their systematization. The theory of information economy logically follows and is a component of the theory of the development of information society. Along with it, there is an approach in the scientific literature, according to which scholars identify the concept of information society and information economy. In our opinion, this approach is not well-balanced, since the term “information society” is inherently wider than “information economy”. The latter can be considered as an inherent component of the information society, which development is determined by a number of specific factors. In other words, these terms are closely interrelated and they should be investigated in the context of links between them, however, we should not consider them as synonymous terms. There is no the only consistent interpretation of the term “information economy” in the scientific literature, which is explained by differences in views and research methods of different scholars. Moreover, this is complemented by the high dynamism of the economic component of the information society, which is why new aspects of its study are constantly emerging. Conclusions. The article analyses views of domestic and foreign scholars on the essence of the information economy. Systematization of scientific approaches made it possible to note that their pluralism is determined by differences in the views of scientists, the methodology used, scientific schools, etc. The analysed definitions are characterized by different degrees of concreteness, abstractness, scale, complexity, completeness, and systematicity in disclosing the essence of information economy with possible identification of the component composition and determinants of its development. Based on the systematization of scientific approaches to the interpretation of this concept, it is proposed to consider the information economy as a type of economic system, which is characterized by the defining role of information and information technologies in the processes of production, exchange, distribution, and consumption, as well as in the development of basic industries and the national economy as a whole. The author emphasizes that ensuring the competitiveness of economic entities at the micro (local, sectoral), macro (national), and mega (international) levels requires the implementation of flexible and highly adaptive mechanisms for generation, accumulation, processing, analysis, information transfer, effective distribution and use of information resources, rapid update and implementation of innovative information and communication technologies. In terms of formation of the information economy, industries, sectors, and spheres, which are capable of producing knowledge and information, in the first place – higher education, science, play a particular role. Prospects for further research are the study, structuring, and systematization of scientific approaches to the correlation of the categories “information economy” and “knowledge economy” with the specification of their key features and specific characteristics. This will make it possible to substantially deepen the theoretical and methodological foundations of research into the formation and development of an economy of an informational type.

Spatio-temporal correlations in models of collective motion ruled by different dynamical laws

Information transfer is an essential factor in determining the robustness of biological systems with distributed control. The most direct way to study the mechanisms ruling information transfer is to experimentally observe the propagation across the system of a signal triggered by some perturbation. However, this method may be inefficient for experiments in the field, as the possibilities to perturb the system are limited and empirical observations must rely on natural events. An alternative approach is to use spatio-temporal correlations to probe the information transfer mechanism directly from the spontaneous fluctuations of the system, without the need to have an actual propagating signal on record. Here we test this method on models of collective behaviour in their deeply ordered phase by using ground truth data provided by numerical simulations in three dimensions. We compare two models characterized by very different dynamical equations and information transfer mechanisms: the classic Vicsek model, describing an overdamped noninertial dynamics and the inertial spin model, characterized by an underdamped inertial dynamics. By using dynamic finite-size scaling, we show that spatio-temporal correlations are able to distinguish unambiguously the diffusive information transfer mechanism of the Vicsek model from the linear mechanism of the inertial spin model.

Towards a network model of innovation in sport – the case of product innovation in nautical sport clusters

Sport and sport equipment are permanently subject to innovation. The current research on innovation sources in sport industries has focused on user innovation and firm-internal sources of innovation. This paper uses the network approach to analyze external links as sources of product innovation in nautical sport clusters. It addresses the question: how can sport organizations effectively use interorganizational links for innovation? An empirical study identifies and compares innovation practices in the Auckland sailing cluster in New Zealand with the Victorian surfing cluster in Australia. In total 52 firms, non-profit-organizations, and governing bodies were interviewed. In spite of much existing research focusing on internal firm resources and end users as sources of innovation in the sport sector, interorganizational linkages provide rich sources of innovation for organizations located in clustered sport industries. This research identifies 11 practices that can be imitated by other organizations located in sport clusters or similar settings. Eight practices occur in both clusters while three only occur in one of both. This paper contributes to knowledge on mechanisms for information and knowledge transfer that leverage innovation via interorganizational linkages.

Promoting neuronal regeneration using extracellular vesicles loaded with superparamagnetic iron oxide nanoparticles.

Intercellular communication between neurons and glial cells via extracellular vesicles (EVs) as a novel mechanism of information transfer has been shown to be involved in regeneration processes within the central nervous system (CNS) (Rajendran et al., 2014). Hence, to take advantage of EV signaling for therapeutic applications appears to be a completely new approach to promote regeneration. One fundamental reason why influencing neuronal recovery after damage remains problematic is due to limited access to molecular processes, which are essential for the transcription of growth-promoting cues. Interestingly, EVs are currently under investigation for their use as hybrid vectors containing both therapeutic agents and superparamagnetic iron oxide nanoparticles (SPIOs) that can be remote guided using an external magnetic field (Silva et al., 2015).

Abstract 16488: Exploring the Functional Role of Exosomes in Stem Cell-mediated Cardiac Repair

Numerous experimental and clinical studies have shown a beneficial effect of cardiosphere-derived cell (CDC) therapy on regeneration of injured myocardium. Paracrine signaling by CDC secreted exosomes is hypothesized to be the principal mediator of improved function, however the mechanism of exosome uptake, cell specificity, and information transfer has yet to be elucidated. Our aim was to define the role of physiologically secreted human CDC-derived exosomes on cardiac fibroblasts, endothelial cells and cardiomyocytes by employing a knockdown (KD) strategy against nSMase2 and Rab27a, two genes crucial in exosome secretion. Methods: Human CDCs (hCDCs) were grown from atrial tissue biopsy explant culture and characterized by flow cytometry and immunocytochemistry. CDC-derived exosomes were isolated and characterized by particle size, immunoblot analysis and electron microscopy. Protein concentration of exosome preparations was quantified by Bradford microassay. nSMase2 and Rab27a shRNAi lentivirus was generated and used to create stable CDC knockdown lines. Co-culture transwell in vitro assays were designed to assess target cell proliferation, migration, angiogenesis, and fibrotic gene expression. Results: hCDCs expressed CD105, CD90, GATA4 and Nkx2.5, and were CD45 and cardiac troponin T negative. hCDC-derived exosomes were immunoreactive for CD63 and HSP90 and negative for Cyctochrome c and EEA1. shRNAi KD of nSMase2 and Rab27a resulted in successful blockade of exosome release from hCDCs. HUVECs co-cultured with scrambled shRNAi CDCs versus shRNAi nSMase2 KD CDCs showed increased angiogenesis and migration without affecting proliferation. While TGF-β stimulation of human cardiac fibroblasts significantly increased collagen I (COLI) and collagen III (COLIII) gene expression, there was no significant decrease in COLI or COLIII after treatment with exosomes. Conclusions: Secretion of hCDC-derived exosomes was effectively inhibited by nSMase2 and Rab27a lentiviral KD. Exosome release contributed to the angiogenic and pro-migratory effects of hCDCs but did not play a role in the fibrotic gene expression of human cardiac fibroblasts, suggesting a role for physiological exosome secretion in stem cell-mediated cardiac repair.

Update on preliminary elements of a theory of ultra high dilutions

The different mechanisms: A. of the interaction between the molecular mother substance and the solvent water or ethanol B. of the storage of molecule-specific information in the solvent. C. the physiological basis of the sensitivity of the living organism towards an ultra high dilution (UHD). D. the mechanism of the interaction of the test dilution with the organism are largely unknown. Several ideas have been postulated, and experiments to test them carried out in physics and in biology. The authors revisited a 1994 contribution on 'preliminary elements of a theory on UHDs' and updated it with regard to more recent literature and research findings. Although the experimental basis can still be questioned in most cases, remarkable fundamental observations have been made to explain the effects of UHDs. For some topics in question, it appears that information specific properties of the diluted substance to be transferred is stored by means electromagnetic fields. The interaction between the UHD and the organism seems to be electromagnetic in nature. The transmission of information from (bio-)molecules to the UHD is of special interest. Again, electromagnetic actions and vector potential fields appear to be implicated. The mechanisms of information storage and transfer in UHDs are far from fully understood, but progress has been made at experimental and theoretical levels.

Three-dimensional cross-gradient joint inversion of gravity and normalized magnetic source strength data in the presence of remanent magnetization

Three-dimensional cross-gradient joint inversion of gravity and magnetic data has the potential to acquire improved density and magnetization distribution information. This method usually adopts the commonly held assumption that remanent magnetization can be ignored and all anomalies present are the result of induced magnetization. Accordingly, this method might fail to produce accurate results where significant remanent magnetization is present. In such a case, the simplification brings about unwanted and unknown deviations in the inverted magnetization model. Furthermore, because of the information transfer mechanism of the joint inversion framework, the inverted density results may also be influenced by the effect of remanent magnetization. The normalized magnetic source strength (NSS) is a transformed quantity that is insensitive to the magnetization direction. Thus, it has been applied in the standard magnetic inversion scheme to mitigate the remanence effects, especially in the case of varying remanence directions. In this paper, NSS data were employed along with gravity data for three-dimensional cross-gradient joint inversion, which can significantly reduce the remanence effects and enhance the reliability of both density and magnetization models. Meanwhile, depth-weightings and bound constraints were also incorporated in this joint algorithm to improve the inversion quality. Synthetic and field examples show that the proposed combination of cross-gradient constraints and the NSS transform produce better results in terms of the data resolution, compatibility, and reliability than that of separate inversions and that of joint inversions with the total magnetization intensity (TMI) data. Thus, this method was found to be very useful and is recommended for applications in the presence of strong remanent magnetization.