Retrieval Success Research Articles

Attempted recall of biographical information influences face attractiveness.

We examined affective consequences arising from the kinds of memory retrieval failures that often accompany social interaction. To do so, we measured the influence of cued-recall outcomes for biographical information on the rated attractiveness of faces. The data demonstrate that retrieval of names (Experiment 1a) and professions (Experiment 1b) increases the rated attractiveness of target faces relative to faces that failed to produce recall of associative information. This was predicted by a confirmation of search (COS) model originally developed on verbal memoranda, which assumes that confirmation bias during memory search leads to affective consequences depending upon retrieval's success or failure. The current study extends this model, showing that evaluative judgments of individuals are in part contingent upon the memory retrieval skills of their assessors. We conclude by discussing potential extensions of the COS paradigm to the measurement of implicit attitudes and special populations.

Optimal Time of Extraction Retrievable Inferior Vena Cava Filters in Venous Thromboembolic Treatment: Evidence Based Case Report

Background: Inferior vena cava (IVC) filters have been proven to be significantly advantageous and clinically efficacious in the prevention of deathly venous thromboembolism, but also carry long-term risks, such as device failure, filter fracture, migration, penetration into adjacent structures, etc. Retrievable filters offer the same degree of protection, and subsequently lower those risk by removing them after they aren’t needed. Unfortunately, increasing use of retrievable filters leads to one alarming trend: there’s massive number of filters that are left for an extended time. Whether the time between deployment and retrieval affects filter’s technical success of retrieval remains questionable. Here is a case of a 45-year old woman who had undergone retrievable IVC filter due to pulmonary embolism risk. The patient only came to clinician for routine follow- up once, one month after deployment. One year later, the patient felt abdominal pain and asked to remove the filter. After one failed attempt, the clinician decided to leave the filter in situ as permanent filter. Method: Literature searching was conducted in several databases (ScienceDirect, EbscoHost, and ClinicalKey) using specified keywords. Six articles that had been passed exclusion and inclusion criteria, were eventually appraised and extracted. Results: Of all six articles that are included in this study, there are no standard time of retrieval. Each study provides data regarding their attempted retrieval, successful retrieval, and dwell time. Only two articles (Uberoi et al and Glocker et al) analyze the relationship between time of retrieval and successful retrieval. Uberoi et al claims filter retrieval statistically more successful if the dwell time is less than 9 weeks, whereas Glocker et al states the procedure is considerably more successful within 3-4 months (117 days) after deployment. The reasons of retrieval failure in these studies are varied, including device angulation, filter incorporation with IVC wall, and penetration to IVC wall and adjacent structures, or significant thrombus inside the filter. Conclusion: There are no standard time of retrieval, but clinicians could follow FDA recommendation by removing the filter when it isn’t necessarily needed. However, a time span of 3-4 months between implantation and retrieval can be respectable choice to make sure the maximum chance at retrieval success.

Nfertilite Tedavisinde TESE Başarısını Etkileyen Faktörler: Tek Merkez Deneyimi Ön Sonuçları

Objective: Today, infertility is a health problem with increasing treatment seeking. Testicular sperm extraction (TESE) is the only possible procedure to offer genetic parenting to men with nonobstructive azoospermia (NOA). Our aim in this study is to present our clinical experiences that affect the success of sperm retrieval in men with NOA in the light of the literature. Materials and Methods: In our study, patients who underwent TESE with a diagnosis of NOA between 2017-2020 were retrospectively analyzed. According to the TESE procedure; the patients were divided into two groups as conventional TESE and TESE performed under microscopic magnification (micro-TESE). Medical histories, hormone values, and physical examination findings of all patients were recorded. Results: Our micro-TESE success rate was found to be 100%. A positive correlation (rho 0.714, p = 0.009) was found between the factors affecting sperm retrieval , and the application of micro-TESE, and a negative correlation was detected with FSH levels (rho -0.759, p = 0.004). Conclusion: The success of sperm retrieval increases with the micro-TESE procedure. As FSH levels increase, sperm retrieval success rates decrease.

Disturbed temporal dynamics of episodic retrieval activity with preserved spatial activity pattern in amnestic mild cognitive impairment: A simultaneous EEG-fMRI study

Episodic memory (EM) deficit is the core cognitive dysfunction of amnestic mild cognitive impairment (aMCI). However, the episodic retrieval pattern detected by functional MRI (fMRI) appears preserved in aMCI subjects. To address this discrepancy, simultaneous electroencephalography (EEG)-fMRI recording was employed to determine whether temporal dynamics of brain episodic retrieval activity were disturbed in patients with aMCI. Twenty-six aMCI and 29 healthy control (HC) subjects completed a word-list memory retrieval task during simultaneous EEG-fMRI. The retrieval success activation pattern was detected with fMRI analysis, and the familiarity- and recollection-related components of episodic retrieval activity were identified using event-related potential (ERP) analysis. The fMRI-constrained ERP analysis explored the temporal dynamics of brain activity in the retrieval success pattern, and the ERP-informed fMRI analysis detected fMRI correlates of the ERP components related to familiarity and recollection processes. The two groups exhibited similar retrieval success patterns in the bilateral posteromedial parietal cortex, the left inferior parietal lobule (IPL), and the left lateral prefrontal cortex (LPFC). The fMRI-constrained ERP analysis showed that the aMCI group did not exhibit old/new effects in the IPL and LPFC that were observed in the HC group. In addition, the aMCI group showed disturbed fMRI correlate of ERP recollection component that was associated with inferior EM performance. Therefore, in this study, we identified disturbed temporal dynamics in episodic retrieval activity with a preserved spatial activity pattern in aMCI. Taken together, the simultaneous EEG-fMRI technique demonstrated the potential to identify individuals with a high risk of cognitive deterioration.

Cost-Efficient Data Retrieval Based on Integration of VC and NDN

The Vehicular Cloud (VC) is a new vehicular system and aims to achieve cost-efficient data retrieval with high success rates. The Named Data Networking (NDN) presents a new data-centric mechanism and its advantages may help achieve VC. Therefore, we are motivated to exploit NDN to achieve VC. However, the intrinsic features of vehicles such as high mobility and the different architectures between NDN and vehicular networks make it challenging to deploy NDN in vehicular scenarios. For example, NDN employs limited broadcast and reverse paths to achieve data retrieval, which might lead to high data retrieval costs and frequent failures in vehicular environments. Furthermore, the lack of mobility support in NDN deteriorates the situation. Taking these issues into account, we propose a cost-efficient and VC-based data retrieval solution and aims to achieve VC by exploiting the advantages of NDN. In this solution, vehicles employ unicast and aggregation to acquire data from the nearest VC member via one data retrieval process, so efficient-cost and low-latency data retrieval is achieved. Moreover, this solution supports vehicle mobility and enhances stability of reverse paths, so data retrieval success rates are effectively improved. The proposal is evaluated, and the experimental results show that the proposal effectively reduces data retrieval costs and improve data retrieval success rates.

OL-MEDC: An Online Approach for Cost-effective Data Caching in Mobile Edge Computing Systems

Mobile Edge Computing (MEC) has emerged to overcome the inability of cloud computing to offer low latency services. It allows popular data to be cached on edge servers deployed within users' geographic proximity. However, the storage resources on edge servers are constrained due to their limited physical sizes. Existing studies of edge caching have predominantly focused on maximizing caching performance from the mobile network operator's perspective, e.g., maximizing data retrieval success rate, minimizing system energy consumption, balancing the overall caching workload, etc. App vendors, as key stakeholders in MEC systems, need to maximize the caching revenue, considering the cost incurred and the benefit produced. We investigate this novel Mobile Edge Data Caching (MEDC) problem from the app vendor's perspective, and prove its NP-hardness. We then propose Online MEDC (OL-MEDC), an approach that formulates MEDC strategies for app vendors, without requiring future information about data demands. Its performance is theoretically analyzed and experimentally evaluated. The experimental results demonstrate that OL-MEDC outperforms state-of-the-art approaches by at least 20.41\% on average.

Methylation patterns of methylenetetrahydrofolate reductase gene promoter in infertile males.

Errors of folate/homocysteine pathways which are critical for transferring methyl groups have been suggested to affect male fertility. We aimed to evaluate the methylation patterns of the promoter of methylenetetrahydrofolate reductase (MTHFR) gene in infertile males and to investigate the association between MTHFR promoter methylation and success of sperm retrieval. Thirty-five nonobstructive azoospermic and 46 severe oligozoospermic patients constituted the study group and were compared with 49 fertile and/or normozoospermic men. The methylation status was analysed by methylation-specific polymerase chain reaction. MTHFR promoter methylation was detected in infertile men with NOA and SO in the ratio of 48.6% and 58.7%, respectively. Methylation was also observed in 51% of controls. MTHFR promoter was methylated in 65% of men with viable spermatozoon during TESE. No association was found regarding to the profile of MTHFR promoter methylation between both NOA and SO patients and controls (p=.621). There was no relation between the methylation status of MTHFR promoter and low motility and poor morphology (p=.682 and p=.413, respectively). No association was found between MTHFR promoter methylation and presence of viable spermatozoa (p=.382). Our data indicate that the promoter methylation of MTHFR gene may not be associated with male infertility.

A simple standardized protocol to evaluate the reliability of seed rain estimates

AbstractSeed dispersal has key implications for community dynamics and restoration ecology. However, estimating seed rain (the number and diversity of seeds arriving in a given area) is challenging, and the lack of standardization in measurement prevents cross-site comparisons. Seed trap effectiveness and accuracy of seed sorting methods are key components of seed rain estimates in need of standardization. We propose and describe a standardized protocol for evaluating the effectiveness of two seed trap types (sticky and funnel traps) and the accuracy of a seed sorting method. We used widely available seeds (arugula, quinoa, sesame and sunflower) to produce a gradient of seed size, weight and colour. Proof-of-concept was tested in a tropical grassland, where traps were set for 30 days. Our results suggest that we underestimate dispersal of seeds with less than 2 mm width that can be easily mistaken for debris and soil particles or that fail to adhere to sticky traps. Seeds on sticky traps may be more vulnerable to removal by wind and rain, whereas seeds in funnel traps are more susceptible to decay. We found no evidence of observer bias on seed sorting for funnel trap samples. However, accuracy on seed sorting for funnel trap samples tended to decline for seeds with less than 2 mm width, suggesting a size-dependence in seed retrieval success. Our standardized protocol addressing trap effectiveness and seed sorting methods will increase the reliability of data obtained in seed rain studies and allow more reliable comparisons between datasets.

The Tip-of-the-Tongue State as a Form of Access to Information: Use of Tip-of-the-Tongue States for Strategic Adaptive Test-Taking

Though tip-of-the-tongue (TOT) states are traditionally viewed as instances of retrieval failure, some suggest that they are a unique form of retrieval success. The state indicates the presence of something relevant in memory as opposed to nothing. TOTs potentially present an opportunity to indicate that more knowledge is present than is currently accessible, which might have relevance for how tests are designed. The present study investigated this. During TOT states, participants were more likely to risk requesting a later multiple-choice set of potential answers when a point loss penalty for wrong answers would occur; they were also more likely to actually choose the correct multiple-choice answer. A test designed for differential point gain or loss through strategic use of TOT states during word generation failure resulted in a point gain advantage compared to standard multiple-choice type testing. This pattern presents a proof of concept relevant to designing adaptive tests.

Semantic-consistent cross-modal hashing for large-scale image retrieval

With an emphasis on saving storage and computation costs, hashing learning has got considerable success in cross-modal image retrieval. Most pioneer efforts in this direction either consider similarity across modalities or leverage discriminative information of the class labels to learn the common latent representation. However, the learnt representation only contains coherent semantics across modalities but could not be line with class-wise semantic structure. To attack this issue, we propose a semantic-consistent cross-modal hashing (SCCH) to take class semantic structure into consideration. It not only ensures the common representation to be consistent across modalities by directly learning the shared binary codes of samples via rotation transformation, but also restricts the class-wise representation line with the learnt binary codes. In this way, SCCH jointly preserves class semantic structure and avoids large quantization errors caused by the approximation of real values to binary codes. Moreover, we efficiently optimize SCCH via an iterative algorithm. Experiments on three publicly datasets demonstrate the superiority of SCCH against several representative start-of-the-art counterparts in light of performance metrics.

Automatic Shoreline Detection from Video Images by Combining Information from Different Methods

Properly registering the time evolution of the shoreline—the coastal land-water interface—is a crucial issue in coastal management, among other disciplines. Video stations have shown to be powerful low-cost tools for continuous monitoring of the coast in the last 30 years. Despite the efforts of the scientific community to get algorithms able to properly track the shoreline position from video images without human supervision, there is not yet an algorithm that can be recognized as fully satisfactory. The present work introduces a methodology to combine the results from different shoreline detection algorithms so as to obtain a smooth and very much improved result when compared to the actual shoreline. The output of the introduced methodology, which is fully automatic, includes not only the shorelines at all available times but also a measure of the quality of the obtained shoreline at each point (called self-computed error). The results from the studied beaches—located in the region of Barcelona city (Spanish Mediterranean coast)—show that such self-computed errors are in general good proxies of the actual errors. Using a certain threshold for the self-computed errors, the final computed shorelines have RMSE (Root Mean Squared Errors) that are in general smaller than 2.5 m in the great majority of analysed images, when compared to the manually digitized shorelines by three expert users. The global RMSE for all dates and beaches is of 1.8 m, with a mean bias <1 m and percentage of retrieval success >95% of the points.

Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone

Leaf biochemical and structural traits are vegetation characteristics related to various physiological processes. Taking advantage of the physical relationship between optical properties and leaf biochemistry, field-based spectroscopy has allowed for the rapid estimation of leaf biochemical constituents and repeated non-destructive measurements through time. Leaf constituent retrieval from leaf optical properties following inversion of the physically-based radiative transfer model PROSPECT is now a popular method, but some cases prompt poor retrieval success and this approach requires a strict inversion procedure. We investigated the performances of different inversion procedures for the estimation of leaf constituents, specifically chlorophyll a and b, carotenoids, water (EWT), and dry matter (LMA) from >1400 broadleaf samples, including the definition of optimal spectral subdomains, and the use of leaf reflectance or transmittance alone. We also developed a strategy to obtain prior information on the leaf structure parameter (N) in PROSPECT, when only reflectance or transmittance is measured, and examined the influence of this prior information in combination with different inversion procedures. We found that using the full domain of reflectance or transmittance only systematically leads to suboptimal estimation of chlorophyll a and b, carotenoids, EWT, and LMA, due to either the combined absorption of multiple constituents or inaccurate estimation of the N parameter. Our study confirms that the selection of optimal spectral subdomains leads to improved estimation of all leaf constituents, from 700 to 720 nm for chlorophyll a and b, 520–560 nm for carotenoids, and from 1700 to 2400 nm for EWT and LMA. Prior information on N, computed directly from the spectra, leads to systematic improved estimation of leaf constituents when only reflectance or transmittance is measured, with reductions in normalized root mean square error from 8 to 37%. We strongly recommend using optimal subdomains when inverting PROSPECT to retrieve leaf constituents, and with the availability of only reflectance or transmittance we further recommend the use of prior information on the N parameter.

Metacognition About Practice Testing: a Review of Learners’ Beliefs, Monitoring, and Control of Test-Enhanced Learning

Over a century of research has established practice testing as a highly robust learning strategy that promotes long-term retention. However, learners do not always appreciate the benefits of testing for memory and do not use it as effectively as they could during their own self-regulated learning. The goal of this review is to identify common themes from research focused on learners’ metacognition about practice testing using the three components of metacognition (i.e., beliefs, monitoring, and control) as an organizational guide. To foreshadow the key findings from this research: (1) Without support, learners lack metacognitive awareness of testing as a tool to enhance memory but do recognize that testing can be used as a monitoring tool. (2) Learners can accurately monitor their learning while using practice testing when judgments are made in contexts that are representative of those encountered during a criterion test. (3) In educational contexts, learners report using less effective strategies equally or more often than practice testing. (4) Learners tend to test themselves only under conditions that encourage retrieval success, and rarely use a strategy involving repeated successful retrieval even when it would lead to improved retention. After reviewing research findings, I discuss various interventions that lead to learners using testing more often and more effectively in their own learning and offer recommendations for future research.

Self-Collaborative Unsupervised Hashing for Large-Scale Image Retrieval

Learning based hashing approaches have achieved considerable success in large-scale image retrieval due to the query effectiveness and efficiency. However, most studies highly rely on supervised knowledge like data labels, thus might fail in unsupervised setting. To address this issue, we propose a self-collaborative unsupervised hashing method (SCUH), which jointly learns hashing function and virtual labels in a self-collaborative manner. Different from existing unsupervised counterparts, SCUH treats sample features and the learned virtual labels as two groups of different features in a fair view. This results in two groups of transformation matrices, which have proven beneficial for capturing diversity information of different features to better advance binary codes. Moreover, we devise an alternate optimization algorithm to solve SCUH, in which each sub-problem has a closed-form solution as a byproduct. Experiments of image retrieval on three datasets show that SCUH performs favorably over eight comparative methods including unsupervised counterparts.

Penetration of Bone by Inferior Vena Cava Filters: Safety and Technical Success of Percutaneous Retrieval

The technical success and safety of percutaneous inferior vena cava filters (IVCF) retrieval when filter elements are penetrating into adjacent bony structures is unknown. Therefore, our purpose was to evaluate the technical success and safety of IVCF retrieval when filter elements are penetrating into adjacent bone. Using percutaneous IVCF retrievals from 2008 to 2018 in adult patients, we conducted a multi-institutional, retrospective review of filters found to penetrate lumbar vertebrae by computed tomography scans. Technical success following the retrieval procedure was recorded. Patient records were assessed for complications from retrieval. 13 patients (2 males; 11 females; mean age: 53.2 years (range: 22-71) were included. Hundred percent of the filters were optional (retrievable) filters. Venous thromboembolism (VTE) with a contraindication to anticoagulation (n = 7; 53.8%) and prophylaxis without venous thromboembolism (n = 3; 23.1%) were the 2 most common indications for IVCF placement. Two filters (15.4%) had >15° of tilt relative to the IVC prior to retrieval while no IVCFs had migrated or caused caval thrombosis. One filter (7.7%) was found to have a fractured strut prior to retrieval. Ten patients (76.9%) were either on anticoagulants or antiplatelet medications at the time of retrieval. No patients were on antibiotics and no patients received periprocedural antibiotics. Median dwell time was 116.5 days (range: 49-5395). All 13 IVCFs were successfully retrieved in a single session (technical success: 100%). Standard snare technique was used in 8 cases (61.5%), endobronchial forces were used in 3 cases (23.1%), and wire loop snare technique was used in 2 cases (15.4%). There were no complications in any patient. Percutaneous retrieval of IVCFs with elements that have penetrated into adjacent vertebrae is both safe and technically feasible.

Optimising word learning in post-secondary students with Developmental Language Disorder: The roles of retrieval difficulty and retrieval success during training

Purpose Learning words to the level that they can be readily retrieved and produced can be challenging. The primary aim of the current study is to determine how retrieval difficulty, based on the level of cuing provided, and retrieval success during training relate to the phonological precision with which words are produced after a delay. Method We performed additional analyses on data from McGregor, Gordon, Eden, Arbisi-Kelm, & Oleson, (Encoding deficits impede word learning and memory in adults with Developmental Language Disorders. Journal of Speech, Language, and Hearing Research, 60, 2891–2905) in which post-secondary students with Developmental Language Disorder (DLD, n = 23) and typical development (n = 25) were trained on words via free and cued recall practice and tested 24-h later. Results Training via free recall led to more precise productions after the delay than training via cued recall for both groups. Additionally, the number of successful retrievals during training positively predicted retrieval after the delay. Furthermore, the precision of participants’ last production and worst production of each word were the best predictors of production precision after the delay. Conclusion To optimally support encoding and delayed retrieval, students with and without DLD should utilise free recall practice. Additionally, words should be studied until they are successfully retrieved multiple times at a high level of phonological precision to support delayed retrieval.

Virtual reality experiences promote autobiographical retrieval mechanisms: Electrophysiological correlates of laboratory and virtual experiences

Recent advancements in memory research indicate that virtual reality (VR) experiences are more vividly memorized as compared to conventional laboratory events. In contrast to the latter, VR experiences are highly immersive, simulating the multimodality, vividness and inclusiveness of real-life experiences. Therefore, VR might enable researchers to identify memory processes underlying events which participants have actually experienced, in contrast to conventional on-screen experiences. To differentiate the electrophysiological correlates of memory processes underlying VR experiences as compared to conventional laboratory experiences, participants watched videos either in a PC condition or in a VR condition, followed by an unannounced recognition memory test. As hypothesized, we replicated the well-established theta old/new effect for the PC condition, but remarkably, this effect was absent in the VR condition. Additionally, the latter was accompanied by significantly lower alpha activity as compared to the PC condition. As increases in theta-band responses are related to top-down control on, and memory load during retrieval, the observed theta responses might rather relate to retrieval effort than to retrieval success per se. Congruently, higher alpha activity measured over occipital sensor areas in the PC condition reflect visually guided search processes within episodic memory. The VR condition comes in with lower alpha activity, reflecting immediate and effortless memory access. Hence, our findings indicate that the retrieval of VR experiences promotes autobiographical retrieval mechanisms, whereas recalling conventional laboratory events comes in with higher effort, which might not reflect the mechanisms of everyday memory.

Episodic Memory: What's Consciousness Got to Do with It?

Episodic memory is the memory for experienced events. A peak competence of episodic memory is the mental combination of experienced events to infer commonalities. This enables adequate interpretation and behavior. Inferring commonalities in episodic memory may proceed with and without consciousness of events. Yet, what distinguishes conscious from unconscious event encoding? This question inspired nine experiments that featured strongly and weakly masked cartoon clips presented for unconscious and conscious encoding and inference. Each clip featured a scene with a visually impenetrable hiding place. Five animals crossed the scene one-by-one consecutively. One animal trajectory represented one event. The animals moved through the hiding place, where they might linger or not. Participants’ task was to observe the animals’ entrances and exits to maintain a mental record of which animals hid simultaneously. We manipulated information load to explore capacity limits of conscious/unconscious encoding. Memory of inferences was tested immediately or 3.5 or 6 minutes following encoding. Participants retrieved inferences well when encoding was conscious. When encoding was unconscious, participants needed to give retrieval responses intuitively. Only habitually intuitive decision-makers exhibited significant delayed retrieval of inferences drawn unconsciously. Hippocampal activity increased with correct retrieval responses and correlated with retrieval success at both consciousness levels. With increasing information load, delayed retrieval performance remained only stable when encoding had been unconscious. A strong hippocampal-neocortical functional connectivity hallmarked conscious memories. A sparse coding hallmarked unconscious memories. Sparse coding may have enlarged memory capacity. Hence, levels of consciousness influenced the memories’ behavioral impact, representational code, and memory capacity.

Attempted prime retrieval is a double-edged sword: Facilitation and disruption in repeated lexical retrieval.

The phenomenological experience of lexical retrieval often involves repeated, active attempts to retrieve phonologically and/or semantically related information. However, the influence of these multiple retrieval attempts on subsequent lexical retrieval is presently unknown. We investigated the influence of passively viewing or actively retrieving different types of information at the critical moment preceding lexical retrieval through a novel priming paradigm. Participants attempted to retrieve target words (e.g., abdicate) from low-frequency descriptions (e.g., to formally renounce a throne). Target retrieval was preceded by passive viewing (Experiment 1), or active retrieval of the prime word (Experiments 2-6). Primes were either "both" semantically and phonologically related (e.g., abandon), only phonologically related (e.g., abdomen), only semantically related (e.g., resign), or unrelated (e.g., obvious) to the target word. When primes were passively viewed, phonological facilitation in target retrieval accuracy was observed. In contrast, when participants actively attempted to retrieve primes from their definitions, no phonological facilitation was observed. Successful retrieval of semantic and both primes facilitated subsequent target retrieval, whereas, failure to retrieve semantic and both primes inhibited subsequent target retrieval. These facilitatory and inhibitory influences of prime retrieval for semantic and both primes were independent of feedback on retrieval performance (Experiment 4) and participants' overall knowledge of the primes and targets (Experiment 5), and also did not extend to retrieval from episodic memory (Experiment 6). The findings are consistent with ongoing retrospective processes during target retrieval, which reengage prime retrieval success or failure and consequently produce benefits and costs during repeated retrieval from semantic memory. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Efficient Forwarding and Data Acquisition in NDN-Based MANET

The named data networking (NDN) might help improve data acquisition efficiency for a mobile ad hoc network (MANET) due to its advantages, but the inherent characteristics of MANET and the architecture differences between MANET and NDN make it challenging to deploy NDN in MANET. In NDN, data routers are static and servers usually work as providers, so Forwarding Information Bases (FIBs) are relatively stable. In MANET, mobile nodes assume roles of both data routers and providers, so FIBs are unstable. Frequent FIB update may cause broadcast storm and stale FIBs, which results in data acquisition failures. Moreover, in NDN reverse paths are made up of static data routers, so they are relatively steady. In MANET reverse paths involve a large number of mobile nodes, so they frequently disrupt. This leads to frequent data acquisition failures and considerable data retrieval costs and delays. Taking these challenges into account, we propose an efficient data acquisition solution for NDN-based MANET and aim to improve data acquisition success rates and reduce data acquisition costs. In the proposal, mobile nodes perform data retrieval without FIBs and multiple consumers retrieve data via one data acquisition process. Furthermore, mobility support is achieved to guarantee reverse-path continuity and successful reception of data. Finally, the proposed solution is evaluated, and the experimental results show that the solution effectively improves data retrieval success rates and reduce data retrieval costs and delays.