Fusion Function Research Articles

Low-energy fusion dynamics of weakly bound nuclei: A time dependent perspective

Recent dynamical fusion models for weakly bound nuclei at low incident energies, based on a time-dependent perspective, are briefly presented. The main features of both the PLATYPUS model and a new quantum approach are highlighted. In contrast to existing timedependent quantum models, the present quantum approach separates the complete and incomplete fusion from the total fusion. Calculations performed within a toy model for 6 Li + 209 Bi at near-barrier energies show that converged excitation functions for total, complete and incomplete fusion can be determined with the time-dependent wavepacket dynamics.

Generation of a Single-Cycle Replicable Rift Valley Fever Vaccine.

Rift Valley fever virus (RVFV) (genus Phlebovirus, family Bunyaviridae) is an arbovirus that causes severe disease in humans and livestock in sub-Saharan African countries. The virus carries a tripartite, single-stranded, and negative-sense RNA genome, designated as L, M, and S RNAs. RVFV spread can be prevented by the effective vaccination of animals and humans. Although the MP-12 strain of RVFV is a live attenuated vaccine candidate, MP-12 showed neuroinvasiveness and neurovirulence in young mice and immunodeficiency mice. Hence, there is a concern for the use of MP-12 to certain individuals, especially those that are immunocompromised. To improve MP-12 safety, we have generated a single-cycle, replicable MP-12 (scMP-12), which carries L RNA, S RNA encoding green fluorescent protein in place of a viral nonstructural protein NSs, and an M RNA encoding a mutant envelope protein lacking an endoplasmic reticulum retrieval signal and defective for membrane fusion function. The scMP-12 undergoes efficient amplification in the Vero-G cell line, which is a Vero cell line stably expressing viral envelope proteins, while it undergoes single-cycle replication in naïve cells and completely lacks neurovirulence in suckling mice after intracranial inoculation. A single-dose vaccination of mice with scMP-12 confers protective immunity. Thus, scMP-12 represents a new, promising RVF vaccine candidate. Here we describe protocols for scMP-12 generation by using a reverse genetics system, establishment of Vero-G cells, and titration of scMP-12 in Vero-G cells.

Implementation of Approximations of Belief Functions for Fusion of ESM Reports within the DSm Framework

Implementation of Approximations of Belief Functions for Fusion of ESM Reports within the DSm Framework

Fluorescent Protein-Tagged Sindbis Virus E2 Glycoprotein Allows Single Particle Analysis of Virus Budding from Live Cells.

Sindbis virus (SINV) is an enveloped, mosquito-borne alphavirus. Here we generated and characterized a fluorescent protein-tagged (FP-tagged) SINV and found that the presence of the FP-tag (mCherry) affected glycoprotein transport to the plasma membrane whereas the specific infectivity of the virus was not affected. We examined the virions by transmission electron cryo-microscopy and determined the arrangement of the FP-tag on the surface of the virion. The fluorescent proteins are arranged icosahedrally on the virus surface in a stable manner that did not adversely affect receptor binding or fusion functions of E2 and E1, respectively. The delay in surface expression of the viral glycoproteins, as demonstrated by flow cytometry analysis, contributed to a 10-fold reduction in mCherry-E2 virus titer. There is a 1:1 ratio of mCherry to E2 incorporated into the virion, which leads to a strong fluorescence signal and thus facilitates single-particle tracking experiments. We used the FP-tagged virus for high-resolution live-cell imaging to study the spatial and temporal aspects of alphavirus assembly and budding from mammalian cells. These processes were further analyzed by thin section microscopy. The results demonstrate that SINV buds from the plasma membrane of infected cells and is dispersed into the surrounding media or spread to neighboring cells facilitated by its close association with filopodial extensions.

Restoration of Opa1-long isoform inhibits retinal injury-induced neurodegeneration.

Optic atrophy 1 (Opa1) is a critical factor that regulates fusion and other important functions of mitochondria. In mitochondrion, the N-terminal mitochondrial targeting sequence of Opa1 precursors is removed to generate Opa1 long isoforms (L-Opa1), which are further cleaved into short isoforms (S-Opa1). In the present study, we found that retinal ischemia-reperfusion (I/R) injury and intravitreal injection of carbonylcyanide m-chlorophenyl hydrazone (CCCP) both dramatically induced Opa1 cleavage and caused loss of L-Opa1. In cultured neuronal cells under hypoxia-reoxygenation (H/R) injury, similar changes for Opa1 were also observed. In contrast, restoration of L-Opa1 level by overexpression of S1 cleavage site deletion Opa1 splice 1 (Opa1-ΔS1) not only normalized the H/R-induced mitochondrial morphology changes, but also inhibited the H/R-induced apoptosis, necrosis, and the intracellular ATP loss. Furthermore, recovering L-Opa1 level in the I/R-injured retina by intravitreal injection of genipin or overexpression of Opa1-ΔS1 inhibited apoptosis, necrosis, cell loss in the ganglion cell layer and retinal thickness reduction. Together, our data demonstrated the loss of L-Opa1 is involved in the development of retinal I/R injury, indicating restoring L-Opa1 level may be considered as a therapeutic target for I/R injury-related diseases, at least for the retina. Key messages: Retinal ischemia-reperfusion (I/R) or hypoxia-reoxygenation (H/R) injury induces L-Opa1 loss. Opa1-ΔS1 overexpression inhibits H/R-induced L-Opa1 loss. Opa1-ΔS1 overexpression inhibits H/R-induced mitochondria morphology change. Opa1-ΔS1 and genipin inhibit retinal I/R injury-induced necroptosis. Opa1-ΔS1 and genipin inhibit retinal I/R injury-induced neurodegeneration.

Mitochondrial Fission and Fusion.

Mitochondria are key cellular organelles responsible for many different functions. The molecular biology of mitochondria is continuously subject to comprehensive studies. However, detailed mechanisms of mitochondrial biogenesis are still unclear. Fusion and fission are among the most enigmatic processes connected with mitochondria. On the other hand, it has been shown that these events are of great biological importance for functioning of living cells. In this review, we summarize existing molecular data on mitochondrial dynamics and discuss possible biological functions of fusion and fission of these organelles.

A Post-Docking Role of Synaptotagmin 1-C2B Domain Bottom Residues R398/399 in Mouse Chromaffin Cells.

This study provides new insights in how the two opposite sides of the C2B domain of Synaptotagmin-1 participate in secretory vesicle fusion, and in more upstream steps, especially vesicle docking. We show that the "bottom" surface of the C2B domain is required for triggering fusion, but not for docking. Synaptotagmin-1 promotes docking by multiple, PI(4,5)P2-dependent and PI(4,5)P2-independent mechanisms. Mutations in the C2B bottom surface (R398/399) selectively disrupt the latter. These mutations help to discriminate protein regions involved in different aspects of Synaptotagmin-1 function in docking and fusion.

Mitochondrial dynamics in the pathogenic mold Aspergillus fumigatus: therapeutic and evolutionary implications.

Mitochondria within eukaryotic cells continuously fuse and divide. This phenomenon is called mitochondrial dynamics and crucial for mitochondrial function and integrity. We performed a comprehensive analysis of mitochondrial dynamics in the pathogenic mold Aspergillus fumigatus. Phenotypic characterization of respective mutants revealed the general essentiality of mitochondrial fusion for mitochondrial genome maintenance and the mold's viability. Surprisingly, it turned out that the mitochondrial rhomboid protease Pcp1 and its processing product, s-Mgm,1 which are crucial for fusion in yeast, are dispensable for fusion, mtDNA maintenance and viability in A. fumigatus. In contrast, mitochondrial fission mutants show drastically reduced growth and sporulation rates and increased heat susceptibility. However, reliable inheritance of mitochondria to newly formed conidia is ensured. Strikingly, mitochondrial fission mutants show a significant and growth condition-dependent increase in azole resistance. Parallel disruption of fusion in a fission mutant partially rescues growth and sporulation defects and further increases the azole resistance phenotype. Taken together, our results indicate an emerging dispensability of the mitochondrial rhomboid protease function in mitochondrial fusion, the suitability of mitochondrial fusion machinery as antifungal target and the involvement of mitochondrial dynamics in azole susceptibility.

Hybrid deep neural network model for human action recognition

In this paper, we propose a hybrid deep neural network model for recognizing human actions in videos. A hybrid deep neural network model is designed by the fusion of homogeneous convolutional neural network (CNN) classifiers. The ensemble of classifiers is built by diversifying the input features and varying the initialization of the weights of the neural network. The convolutional neural network classifiers are trained to output a value of one, for the predicted class and a zero, for all the other classes. The outputs of the trained classifiers are considered as confidence value for prediction so that the predicted class will have a confidence value of approximately 1 and the rest of the classes will have a confidence value of approximately 0. The fusion function is computed as the maximum value of the outputs across all classifiers, to pick the correct class label during fusion. The effectiveness of the proposed approach is demonstrated on UCF50 dataset resulting in a high recognition accuracy of 99.68%.

Abstract 3942: Oncogenic BRAF fusion induces MAPK-pathway activation targeted by MEK inhibitor and phosphatidylinositol 3-kinase inhibitor combination treatment in mucosal melanoma

Abstract Background: Although remarkable progress has been made in the genomic characterization of cutaneous melanoma, the genetic alterations of primary mucosal melanoma (PMM) remain largely unknown. This study aims to investigate the recurrent mutations in PMM and to characterize the oncogenic potential of the newly identified ZNF767-BRAF fusion as well as its therapeutic implications in PMM. Methods: A total of 46 PMMs underwent exon-capture sequencing of 111 cancer-associated genes to identify somatic non-synonymous mutations, copy number alterations, and structural variations. A cancer cell with a novel ZNF767-BRAF fusion was established from a patient with PMM of the respiratory tract, who was refractory to vemurafenib. To characterize the oncogenic functions of the novel ZNF767-BRAF fusion, we performed western blot, soft agar growth assay and in vivo tumor. The inhibitory effects of vemurafenib, trametinib, buparlisib and LEE011 monotherapy and their combination treatment were measured in vitro and in vivo. Results: Targeted exon-capture sequencing of 46 PMMs revealed a total of 48 somatic non-synonymous mutations in 26 genes. Eight genes harbored recurrent mutations on NRAS (n = 6; 13%) and TP53 (n = 4; 9%) along with BRAF, KIT, MAP3K9, C8A, KRAS, FGFR3 (all observed in two cases; 4%). Of note, a novel ZNF767-BRAF fusion was identified in a PMM of the respiratory tract refractory to vemurafenib treatment. ZNF767-BRAF fusion was validated by Sanger sequencing. We show that ZNF767-BRAF encoded protein promotes the dimerization of RAF and potently activates mitogen-activated protein kinase pathway. The ectopic expression of ZNF767-BRAF fusion induced tumor formation as shown in colony forming assay and tumor xenograft model. The treatment of trametinib inhibited the growth of PMM cells harboring the ZNF767-BRAF fusion but vemurafenib showed no inhibitory effects. Compared with either agent alone, the combination of trametinib and buparlisib showed synergistic antitumor effects in vitro and in vivo. Conclusions: The genomic makeup of PMM is remarkably diverse and distinct from that of cutaneous melanoma. BRAF fusion defines a new molecular subset of PMM and can be therapeutically targetable by the combination of MEK inhibitor and PI3K Inhibitor. Citation Format: Han Sang Kim, Kang Won Jang, Minkyu Jung, Soo Hee Kim, Tae-Min Kim, Byoung Chul Cho. Oncogenic BRAF fusion induces MAPK-pathway activation targeted by MEK inhibitor and phosphatidylinositol 3-kinase inhibitor combination treatment in mucosal melanoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3942. doi:10.1158/1538-7445.AM2015-3942

Reduction of fusion and reaction cross sections at near-barrier energies

We investigate three of the most frequently used methods to reduce fusion and total reaction excitation functions. For this purpose, we apply them in two situations. First, we consider theoretical cross sections obtained by single-channel calculations based on standard optical potentials. In this case, the cross sections are not influenced by any particular nuclear property. Thus, the method is successful if the cross sections for different systems are about the same. In the case of fusion excitation functions, we found that the fusion function method works very well, being much better than the other two methods. Regarding total reaction excitation functions, none of the methods is satisfactory. Their reduced reaction cross sections maintain a strong dependence on the atomic and mass numbers of the collision partners. However, they perform reasonably well when compared to similar systems. Next, we use the three methods to reduce experimental fusion and reaction cross sections for many systems, over a broad mass range. Our conclusions are consistent with the ones reached for our theoretical cross sections, resulting from single-channel calculations. That is, the fusion function method is the best for fusion data, whereas none of the three methods works for total reaction.

Adaptive skew-sensitive ensembles for face recognition in video surveillance

Decision support systems for surveillance rely more and more on face recognition (FR) to detect target individuals of interest captured with video cameras. FR is a challenging problem in video surveillance due to variations in capture conditions, to camera interoperability, and to the limited representativeness of target facial models used for matching. Although adaptive classifier ensembles have been applied for robust face matching, it is often assumed that the proportions of faces captured for target and non-target individuals are balanced, known a priori, and do not change over time. Recently, some techniques have been proposed to adapt the fusion function of an ensemble according to class imbalance of the input data stream. For instance, Skew-Sensitive Boolean combination (SSBC) is a active approach that estimates target vs. non-target proportions periodically during operations using Hellinger distance, and adapts its ensemble fusion function to operational class imbalance. Beyond the challenges of estimating class imbalance, such techniques commonly generate diverse pools of classifiers by selecting balanced training data, limiting the potential diversity produced using the abundant non-target data. In this paper, adaptive skew-sensitive ensembles are proposed to combine classifiers trained by selecting data with varying levels of imbalance and complexity, to sustain a high level the performance for video-to-video FR. Faces captured for each person in the scene are tracked and regrouped into trajectories. During enrollment, captures in a reference trajectory are combined with selected non-target captures to generate a pool of 2-class classifiers using data with various levels of imbalance and complexity. During operations, the level of imbalance is periodically estimated from the input trajectories using the HDx quantification method, and pre-computed histogram representations of imbalanced data distributions. This approach allows one to adapt pre-computed histograms and ensemble fusion functions based on the imbalance and complexity of operational data. Finally, the ensemble scores are accumulated of trajectories for robust spatio-temporal recognition. Results on synthetic data show that adapting the fusion function of ensemble trained with different complexities and levels of imbalance can significantly improve performance. Results on the Face in Action video data show that the proposed method can outperform reference techniques (including SSBC and meta-classification) in imbalanced video surveillance environments. Transaction-based analysis shows that performance is consistently higher across operational imbalances. Individual-specific analysis indicates that goat- and lamb-like individuals can benefit the most from adaptation to the operational imbalance. Finally, trajectory-based analysis shows that a video-to-video FR system based on the proposed approach can maintain, and even improve overall system discrimination.

Dynamical order construction in data fusion

A crucial operation in the maintenance of data quality in relational databases is to remove tuples that mutually describe the same entity (i.e., duplicate tuples) and to replace them with a tuple that minimizes information loss. A function that combines multiple tuples into one is called a fusion function. In this paper, we investigate fusion functions for attributes of which the values can be sorted by means of an order relation that reflects a notion of generality. It is shown that providing such an order relation a priori, let alone keeping it up-to-date, is a costly operation. Therefore, the Dynamical Order Construction (DOC) algorithm is proposed that constructs an order relation in an automated fashion upon inspecting the data that need to be fused. Such order relations can be immediately deployed in a framework of selectional fusion functions, which are fusion functions that adopt the sort-and-select principle. These fusion functions are investigated closely in terms of their selection strategies. An experimental evaluation of our method shows the influence of the parameters and the benefit with respect to using a fixed and predefined taxonomy.

Propagation of Data Fusion

In a relational database, tuples are called “duplicate” if they describe the same real-world entity. If such duplicate tuples are observed, it is recommended to remove them and to replace them with one tuple that represents the joint information of the duplicate tuples to a maximal extent. This remove-and-replace operation is called a fusion operation. Within the setting of a relational database management system, the removal of the original duplicate tuples can breach referential integrity. In this paper, a strategy is proposed to maintain referential integrity in a semantically correct manner, thereby optimizing the quality of relationships in the database. An algorithm is proposed that is able to propagate a fusion operation through the entire database. The algorithm is based on a framework of first and second order fusion functions on the one hand, and conflict resolution strategies on the other hand. It is shown how classical strategies for maintaining referential integrity, such as delete cascading, are highly specialized cases of the proposed framework. Experimental results are reported that (i) show the efficiency of the proposed algorithm and (ii) show the differences in quality between several second order fusion functions. It is shown that some strategies easily outperform delete cascading.

An information fusion approach by combining multigranulation rough sets and evidence theory

Multigranulation rough set (MGRS) theory provides two kinds of qualitative combination rules that are generated by optimistic and pessimistic multigranulation fusion functions. They are used to aggregate multiple granular structures from a set theoretic standpoint. However, the two combination rules seem to lack robustness because one is too relaxed and the other too restrictive to solve some practical problems. Dempster’s combination rule in the evidence theory has been employed to aggregate information coming from multiple sources. However, it fails to deal with conflict evidence. To overcome these limitations, we focus on the combination of granular structures with both reliability and conflict from multiple sources, which has been a challenging task in the field of granular computing. We first address the connection between multigranulation rough set theory and the evidence theory. Then, a two-grade fusion approach involved in the evidence theory and multigranulation rough set theory is proposed, which is based on a well-defined distance function among granulation structures. Finally, an illustrative example is given to show the effectiveness of the proposed fusion method. The results of this study will be useful for pooling the uncertain data from different sources and significant for establishing a new direction of granular computing.

Barrier distribution functions for the systemLi6+Ni64and the effect of channel coupling

Background: The barrier distribution function is an important observable in low-energy nucleus-nucleus collisions because it carries the distinct signature of the channel-coupling effect that is dominant at low energies. It can be derived from the fusion excitation function as well as from the back-angle quasi-elastic excitation function. The barrier distribution functions derived from the two complimentary measurements, in general, appear to peak at an energy close to the Coulomb barrier for strongly bound systems. But for weakly bound projectiles, like $^{6}\mathrm{Li}$, a relative shift is observed between the distributions.Purpose: The present work investigates the barrier distribution functions from fusion as well as from the back-angle quasi-elastic excitation function for the $^{6}\mathrm{Li}+^{64}\mathrm{Ni}$ system. The purpose is to look for the existence of a shift, if any, between the two measured distribution functions, as reported for $^{6}\mathrm{Li}$ collision with heavy targets. A detailed coupled-channel calculation to probe the behavior of the distribution functions and their relative shift has been attempted.Measurement: A simultaneous measurement of fusion and back-angle quasi-elastic excitation functions for the system $^{6}\mathrm{Li}+^{64}\mathrm{Ni}$ was performed. The fusion excitation function was measured for the energy range of 11 to 28 MeV while the quasi-elastic excitation function measurement extended from 11 to 20 MeV. The barrier distribution functions were subsequently extracted from both the excitation functions and compared.Results: A small shift of around 450 keV peak to peak is observed between the barrier distribution functions derived from the complementary measurements. Detailed coupled channel and coupled reaction channel calculations reproduced both the excitation functions and barrier distributions. The shift of about 550 keV resulted from the model predictions corroborate the experimentally observed value for $^{6}\mathrm{Li}+^{64}\mathrm{Ni}$ system.Conclusions: The coupling to inelastic channels are found to be sufficient to describe the fusion-barrier distribution. The positive $Q$-value one-proton and one-neutron stripping channels, leading to three-body final states, on the other hand, play dominant roles in reproducing the barrier distribution from the back-angle quasi-elastic excitation function.

Integrated optimal dynamics control of 4WD4WS electric ground vehicle with tire-road frictional coefficient estimation

This paper presents an integrated optimal dynamics control of four-wheel driving and four-wheel steering (4WD4WS) electric ground vehicles via hierarchical control methodology. In the higher-level design, an LQR controller is proposed to obtain the integrated lateral force and yaw moment, according to their respective reference values. The lower-level controller is designed to ensure all the tires work in the stable region while realizing the tracking control of the vehicle dynamics. The tire-road friction coefficient is estimated through the integrated longitudinal force and lateral force, respectively, using a brush tire model. To reduce the estimation error, a novel data fusion function is employed to generate the final estimation value. Finally, the effectiveness of the proposed control and estimation strategies is validated via CarSim–Simulink joint simulation.

Tryptophan-dependent membrane interaction and heteromerization with the internal fusion peptide by the membrane proximal external region of SARS-CoV spike protein.

The spike (S) protein of severe acute respiratory syndrome-associated CoV (SARS-CoV) mediates membrane fusion and viral entry. These events involve structural rearrangements, including heteromerization between two heptad repeats (HR1 and HR2) to form a trimer of dimers as a six-helix bundle (6-HB), a quaternary protein structure that brings two distant clusters of hydrophobic sequences into the proximity of each other, the internal fusion peptide (IFP) preceding HR1, and the highly conserved tryptophan (Trp)-rich membrane proximal external region (MPER) following HR2. Here, we show that MPER can undergo self-oligomerization and heteromerization with IFP, events that are Trp-dependent. To delineate the roles of Trp residues of MPER in forming these quaternary structures and interacting with membranes, we employed a panel of synthetic peptides: MPER peptide (M-wt) and its alanine (Ala) and phenylalanine (Phe) analogues. Ala substitutions of Trp inhibited its association with cellular membranes. Chemical cross-linking experiments showed that M-wt can self-interact to form oligomers and cross-interact with IFP23, a synthetic IFP peptide, to form a heterohexamer. In comparison, little high-order oligomer was formed between M-wt and fusion peptide. The specific interaction between M-wt and IFP23 was confirmed by immunofluorescence staining experiments. In aqueous solutions, both M-wt and IFP23 displayed random secondary structures that became helical in hydrophobic solvents. Triple-Ala substitutions of Trp in M-wt, but not the corresponding triple-Phe analogue, disrupted oligomerization of M-wt and hetero-oligomerization of M-wt with IFP23. Overall, our results show that Trp residues of MPER play a key role in maintaining the structure and functions of MPER, allowing it to interact with IFP to form a MPER-IFP heteromer, a putative quaternary structure extending from the 6-HB, and function in membrane fusion. Finally, we showed that a MPER peptide could serve as an inhibitor in the entry process.

Influenza hemagglutinin (HA) stem region mutations that stabilize or destabilize the structure of multiple HA subtypes.

Influenza A viruses enter host cells through endosomes, where acidification induces irreversible conformational changes of the viral hemagglutinin (HA) that drive the membrane fusion process. The prefusion conformation of the HA is metastable, and the pH of fusion can vary significantly among HA strains and subtypes. Furthermore, an accumulating body of evidence implicates HA stability properties as partial determinants of influenza host range, transmission phenotype, and pathogenic potential. Although previous studies have identified HA mutations that can affect HA stability, these have been limited to a small selection of HA strains and subtypes. Here we report a mutational analysis of HA stability utilizing a panel of expressed HAs representing a broad range of HA subtypes and strains, including avian representatives across the phylogenetic spectrum and several human strains. We focused on two highly conserved residues in the HA stem region: HA2 position 58, located at the membrane distal tip of the short helix of the hairpin loop structure, and HA2 position 112, located in the long helix in proximity to the fusion peptide. We demonstrate that a K58I mutation confers an acid-stable phenotype for nearly all HAs examined, whereas a D112G mutation consistently leads to elevated fusion pH. The results enhance our understanding of HA stability across multiple subtypes and provide an additional tool for risk assessment for circulating strains that may have other hallmarks of human adaptation. Furthermore, the K58I mutants, in particular, may be of interest for potential use in the development of vaccines with improved stability profiles. The influenza A hemagglutinin glycoprotein (HA) mediates the receptor binding and membrane fusion functions that are essential for virus entry into host cells. While receptor binding has long been recognized for its role in host species specificity and transmission, membrane fusion and associated properties of HA stability have only recently been appreciated as potential determinants. We show here that mutations can be introduced at highly conserved positions to stabilize or destabilize the HA structure of multiple HA subtypes, expanding our knowledge base for this important phenotype. The practical implications of these findings extend to the field of vaccine design, since the HA mutations characterized here could potentially be utilized across a broad spectrum of influenza virus subtypes to improve the stability of vaccine strains or components.

Examination of the different roles of neutron transfer in the sub-barrier fusion reactionsS32+Zr94,96and40Ca+Zr94,96

The sub-barrier capture (fusion) reactions $^{32}\mathrm{S}+^{90,94,96}\mathrm{Zr}$, $^{36}\mathrm{S}+^{90,96}\mathrm{Zr}$, ${}^{40}\mathrm{Ca}+^{90,94,96}\mathrm{Zr}$, and ${}^{48}\mathrm{Ca}+^{90,96}\mathrm{Zr}$ with positive and negative $Q$ values for neutron transfer are studied with the quantum diffusion approach and the universal fusion function representation. For these systems, the $s$-wave capture probabilities are extracted from the experimental excitation functions and are also analyzed. Different effects of the positive ${Q}_{xn}$-value neutron transfer in the fusion enhancement are revealed in the relatively close reactions $^{32}\mathrm{S}+^{94,96}\mathrm{Zr}$ and ${}^{40}\mathrm{Ca}+^{94,96}\mathrm{Zr}$.