Interactive Search Research Articles

Searching for star-planet interactions in GJ 486 at radio wavelengths with the uGMRT

We search for radio emission from star-planet interactions in the M dwarf system which hosts an Earth-like planet. We observed the GJ 486 system with the upgraded Giant Metrewave Radio Telescope (uGMRT) from 550 to 750 MHz in nine different epochs between October 2021 and February 2022, covering almost all orbital phases of from different orbital cycles. We obtained radio images and dynamic spectra of the total and circularly polarized intensity for each individual epoch. We did not detect any quiescent radio emission in any epoch above 3sigma . Similarly, we did not detect any bursty emission in our dynamic spectra. While we cannot completely rule out that the absence of a radio detection is due to time variability of the radio emission or to the maximum electron-cyclotron maser emission being below our observing range, these cases seem unlikely. We discuss two possible scenarios: an intrinsic dim radio signal and, alternatively, a situation where the anisotropic beamed emission is pointed away from the observer. If the non-detection of radio emission from the star-planet interaction in GJ 486 is due to an intrinsically dim signal, this implies that independent of whether the planet is magnetized or not, the mass-loss rate is small ( lesssim 0.3 and that, concomitantly, the efficiency of the conversion of the Poynting flux into radio emission must be low ($ $). Free-free absorption effects are negligible, given the high value of the coronal temperature. Finally, if the anisotropic beaming pointed away from the observer, this would imply that GJ 486 has very low values of magnetic obliquity and inclination.

Design and Development of a Fashion Oriented Personalized Search Engine

Finding the desired product in the e-commerce sector in the fastest and easiest way plays a vital role in customer satisfaction and revenue growth. Some interactive search engines have already been proposed in the literature and allow for text or visual queries. Nevertheless, these studies focus on finding items aesthetically similar to the query without considering the query personalization aspects. Query personalization allows that user preferences are provided as a user profile separately from the query and dynamically decide how this profile will affect the query results. In this study, a personalized search engine is proposed, which is fed with the product data of the e-commerce site trendyol.com operating in the fashion-oriented retailing sector. More specifically, a search engine has been developed to recognize and help online shoppers find what they are looking for and discover a broader and more relevant range of products in the trendyol.com catalog. The index, search, and data collection infrastructures and a brand-based user-segmented product listing algorithm have been designed and implemented to realize the search engine. As the outcome of the study, a fashion-oriented and personalized site search has been enabled thar successfully reveals products that have never been thought of before by directly associating the products the customers want. The results show that personalizing the search queries increase the odds of success. With the development of the personalized search engine, it is expected that Trendyol’s revenues will grow in a short time through users visiting the site.

Web-Based GIS Housing Marketing Information System in West Papua

Web GIS- Based Marketing Information System in Housing Sector of West Papua: A Case Study The methods of research are interviews, direct observation and documents sales report, regional maps). They note that the system offers a more direct and efficient means of accessing information from potential buyers, ultimately boosting marketing efficiency by as much as 45%. Moreover, it delivered a 30% higher sales conversion rate than traditional marketing channels. A combination of useful features such as interactive maps and location search functions helps potential buyers browse properties more easily, increasing the time they spend interacting with the platform and enhancing transaction chances. Many housing developers overcame challenges like the lack of internet backbone and a requirement for staff training to employ specialised skillsets. To needs, this research shows as an imperative using of Web gip to smooth the marketing and support strategic plan in housing construction. A recommendation for improving technological infrastructure and continuous training to ensure an effective utilization of the system is suggested. The results offer useful advice to housing developers looking to build innovative technology into their marketing strategy, thereby increasing efficiency and effectiveness within the housing sector.

Considerations in the search for epistasis.

Epistasis refers to changes in the effect on phenotype of a unit of genetic information, such as a single nucleotide polymorphism or a gene, dependent on the context of other genetic units. Such interactions are both biologically plausible and good candidates to explain observations which are not fully explained by an additive heritability model. However, the search for epistasis has so far largely failed to recover this missing heritability. We identify key challenges and propose that future works need to leverage idealized systems, known biology and even previously identified epistatic interactions, in order to guide the search for new interactions.

Search for CP-Violating Neutrino Nonstandard Interactions with the NOvA Experiment.

This Letter reports a search for charge-parity (CP) symmetry violating nonstandard interactions (NSI) of neutrinos with matter using the NOvA Experiment, and examines their effects on the determination of the standard oscillation parameters. Data from ν_{μ}(ν[over ¯]_{μ})→ν_{μ}(ν[over ¯]_{μ}) and ν_{μ}(ν[over ¯]_{μ})→ν_{e}(ν[over ¯]_{e}) oscillation channels are used to measure the effect of the NSI parameters ϵ_{eμ} and ϵ_{eτ}. With 90%CL the magnitudes of the NSI couplings are constrained to be |ϵ_{eμ}|≲0.3 and |ϵ_{eτ}|≲0.4. A degeneracy at |ϵ_{eτ}|≈1.8 is reported, and we observe that the presence of NSI limits sensitivity to the standard CP phase δ_{CP}.

New Constraints on Axion-Mediated Spin Interactions Using Magnetic Amplification.

Axions are highly motivated hypothetical particles beyond the standard model that can be dark matter candidates and address the strong CP problem. Here we search for axion-mediated interactions generated between two separated ^{129}Xe gas ensembles, monitoring and polarizing the ^{129}Xe nuclear spins through spin-exchange interactions with Rb vapor. Our method exploits the magnetic amplification through effective fields from Rb-Xe collisions, increasing the sensitivity for axion-mediated interactions by up to 145-fold relative to conventional methods. Moreover, we employ template filtering to extract exotic interactions with a maximum signal-to-noise ratio. By combining two techniques, axion-mediated interactions are constrained to be less than 10^{-5} of normal magnetic interactions on a length scale of 60mm. We establish new constraints on the neutron-neutron pseudoscalar couplings for a mass range that expands into the well-motivated "axion window" (10 μeV-1 meV), improving previous constraints by up to 50-fold within it and 118-fold outside it. We further discuss promising applications in searches for other axion-nucleon interactions, including axion dark matter and black hole axion bursts with sensitivity well beyond astrophysical limits by several orders of magnitude.

A Cross-Sectional Study of Unstable Housing and Housing-Related Symptom Content in People With Psychosis Admitted for Inpatient Treatment: A Clinical Record Interactive Search Study.

Rates of psychosis in the homeless population are markedly higher compared to the general population. Understanding potential psychological mechanisms underpinning links between psychosis and homelessness is important for the development of effective care pathways for this highly marginalised group. This study aimed to examine the housing status of a sample of people with psychosis admitted to psychiatric inpatient hospital in one UK mental health trust. We further aimed to examine the presence and relevance of symptoms which were directly related to housing (e.g., persecutory beliefs about neighbours). A cross-sectional study was conducted using an electronic healthcare database, containing anonymised patient records (Clinical Record Interactive Search). Information on housing status, symptoms, and content of symptoms relating to housing were extracted and independently double-coded from clinical notes at the person's admission. 351 service users were in the sample, which covered discharges over a 12-month period (1st April 2021 to 31st March 2022). There was a higher proportion of individuals living without a fixed address in the sample (10%) compared to population estimates (1%-2%). Housing-related thematic content of symptoms was evident in 34% of the sample (e.g., attributing voices to neighbours, feeling under surveillance at home). The only variable significantly associated with housing status was gender, with men at higher odds of unstable housing compared to women. Individuals with concerns directly related to their housing or housing instability were no more likely to have a longer length of admission than those without housing-related concerns. A significant proportion of individuals with psychosis admitted for psychiatric inpatient treatment, experienced housing instability. For some of the sample, symptom content directly related to housing. This raises important considerations for how social needs are assessed on admission to psychiatric hospital. Further research in this area is encouraged.

Real-time reactive task allocation and planning of large heterogeneous multi-robot systems with temporal logic specifications

Existing methods for the task allocation and planning (TAP) of multi-robot systems with temporal logic specifications mainly rely on optimization-based approaches or graph search techniques applied to the product automaton. However, these methods suffer from high computational cost and scale poorly with the number of robots and the complexity of temporal logic tasks, thus limiting the applicability in real-time implementation, especially for large multi-robot systems. To address these challenges, this work develops a novel TAP framework that can solve reactive temporal logic planning problems for large-scale heterogeneous multi-robot systems (HMRS) in real time. Specifically, we develop a planning decision tree (PDT) to represent the task progression and task allocation specialized for HMRS with temporal logic specifications. Based on the PDT, we develop two key search algorithms—the planning decision tree search (PDTS) and the interactive planning decision tree search (IPDTS)—where PDTS generates an offline plan which will be modified online by PDTS and IPDTS jointly to enable fast reactive planning if environmental changes or temporary tasks occur. Such a design can generate satisfying plan for HMRS with multiple orders of magnitude more robots than those that existing methods can manipulate. Rigorous analysis shows that the PDT-based planning is feasible (i.e., the generated plan is applicable) and complete (i.e., a feasible plan, if exits, is guaranteed to be found). The algorithm complexity further indicates that the solution time is only linearly proportional to the robot numbers and types. Simulation and experiment results demonstrate that reactive plan can be generated for large HMRS in real-time, which outperforms the state-of-the-art methods.

Time on task effects during interactive visual search.

There is a major shift taking place in airports across the globe, changing from 2D dual-view X-ray screening to 3D computed tomography (CT) screening. 3D CT screening is believed to improve target detection since it enables screeners to interact with images of passenger baggage (i.e., rotating and zooming into the displays). The change in screening technology is moving what was once a purely visual search task to an interactive search task. Here, we conducted two experiments with a large sample size during February of 2023 (695 participants) to examine (a) changes in search performance between a simulated dual-view and simulated interactive search task and (b) the effects of time on task upon performance. Consistent with past research, we found that interactive search, when compared with dual-view search, produced higher response accuracy rates coupled with increased reaction times (RTs). However, while we found effects of time on task (RTs reduced, and participants became more likely to respond "absent" as the experiments progressed), there was no evidence that these effects differed across simulated dual-view and simulated interactive searches. The results are discussed in relation to benefits of interactive search for supporting target detection by airport screeners. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Obsessive-compulsive symptoms relating to psychosocial functioning for people with schizophrenia, schizoaffective disorder, or bipolar disorder.

To assess the psychosocial functioning concerning obsessive-compulsive symptoms (OCS) and/or obsessive-compulsive disorder (OCD) comorbidity in people with schizophrenia, schizoaffective disorder, or bipolar disorder diagnosed in a large case register database in Southeast London. Data were retrieved from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) register using Clinical Record Interactive Search (CRIS) system, a platform allowing research on full but de-identified electronic health records for secondary and tertiary mental healthcare services. Information of schizophrenia, schizoaffective disorder, bipolar disorder diagnosis and OCS/OCD status was ascertained from structural or free-text fields through natural language processing (NLP) algorithms based on artificial intelligence techniques during the observation window of January 2007 to December 2016. Associations between comorbid OCS/OCD and recorded Health of the Nation Outcome Scales (HoNOS) for problems with activities of daily living (ADLs), living conditions, occupational and recreational activities, and relationships were estimated by logistic regression with socio-demographic confounders controlled. Of 15,412 subjects diagnosed with schizophrenia, schizoaffective disorder, or bipolar disorder, 2,358 (15.3%) experienced OCS without OCD, and 2,586 (16.8%) had OCD recorded. The presence of OCS/OCD was associated with more problems with relationships (adj.OR = 1.34, 95% CI: 1.25-1.44), ADLs (adj.OR = 1.31, 95%CI: 1.22-1.41), and living conditions (adj.OR = 1.31, 95% CI: 1.22-1.41). Sensitivity analysis revealed similar outcomes. Comorbid OCS/OCD was associated with poorer psychosocial functioning in people with schizophrenia, schizoaffective disorder, or bipolar disorder. This finding highlights the importance of identification and treatment of comorbid OCS among this vulnerable patient group.

Caching Historical Embeddings in Conversational Search

Rapid response, namely, low latency, is fundamental in search applications; it is particularly so in interactive search sessions, such as those encountered in conversational settings. An observation with a potential to reduce latency asserts that conversational queries exhibit a temporal locality in the lists of documents retrieved. Motivated by this observation, we propose and evaluate a client-side document embedding cache, improving the responsiveness of conversational search systems. By leveraging state-of-the-art dense retrieval models to abstract document and query semantics, we cache the embeddings of documents retrieved for a topic introduced in the conversation, as they are likely relevant to successive queries. Our document embedding cache implements an efficient metric index, answering nearest-neighbor similarity queries by estimating the approximate result sets returned. We demonstrate the efficiency achieved using our cache via reproducible experiments based on Text Retrieval Conference Conversational Assistant Track datasets, achieving a hit rate of up to 75% without degrading answer quality. Our achieved high cache hit rates significantly improve the responsiveness of conversational systems while likewise reducing the number of queries managed on the search back-end.

RDBSB: a database for catalytic bioparts with experimental evidence.

Catalytic bioparts are fundamental to the design, construction and optimization of biological systems for specific metabolic pathways. However, the functional characterization information of these bioparts is frequently dispersed across multiple databases and literature sources, posing significant challenges to the effective design and optimization of specific chassis or cell factories. We developed the Registry and Database of Bioparts for Synthetic Biology (RDBSB), a comprehensive resource encompassing 83 193 curated catalytic bioparts with experimental evidences. RDBSB offers their detailed qualitative and quantitative catalytic information, including critical parameters such as activities, substrates, optimal pH and temperature, and chassis specificity. The platform features an interactive search engine, visualization tools and analysis utilities such as biopart finder, structure prediction and pathway design tools. Additionally, RDBSB promotes community engagement through a catalytic bioparts submission system to facilitate rapid data sharing and utilization. To date, RDBSB has supported the contribution of >1000 catalytic bioparts. We anticipate that the database will significantly enhance the resources available for pathway design in synthetic biology and serve essential tools for researchers. RDBSB is freely available at https://www.biosino.org/rdbsb/.

Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation

Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation

The National Library of Medicine (NLM) Learning Resources Database

The National Library of Medicine (NLM) Learning Resources Database provides access to more than 500 educational resources on NLM products and services, including videos, webinars, and tutorials. The database includes resources designed primarily for librarians, health educators, researchers, and clinicians, for finding biomedical literature, research data, chemical, and genetic information. You can search by keyword, subject, language, and audience, and access materials directly or download them for reuse. Resources are reviewed at least annually, and mos.t materials are in the public domain. Features of the site include interactive search options, topic guides, and upcoming training events. NLM also offers API access for integrating resources into other websites.

Can calmodulin bind to lipids of the cytosolic leaflet of plasma membranes?

Calmodulin (CaM) is a ubiquitous calcium-sensitive messenger in eukaryotic cells. It was previously shown that CaM possesses an affinity for diverse lipid moieties, including those found on CaM-binding proteins. These facts, together with our observation that CaM accumulates in membrane-rich protrusions of HeLa cells upon increased cytosolic calcium, motivated us to perform a systematic search for unmediated CaM interactions with model lipid membranes mimicking the cytosolic leaflet of plasma membranes. A range of experimental techniques and molecular dynamics simulations prove unambiguously that CaM interacts with lipid bilayers in the presence of calcium ions. The lipids phosphatidylserine (PS) and phosphatidylethanolamine (PE) hold the key to CaM-membrane interactions. Calcium induces an essential conformational rearrangement of CaM, but calcium binding to the headgroup of PS also neutralizes the membrane negative surface charge. More intriguingly, PE plays a dual role-it not only forms hydrogen bonds with CaM, but also destabilizes the lipid bilayer increasing the exposure of hydrophobic acyl chains to the interacting proteins. Our findings suggest that upon increased intracellular calcium concentration, CaM and the cytosolic leaflet of cellular membranes can be functionally connected.

Probing the scalar WIMP-pion coupling with the first LUX-ZEPLIN data

Weakly interacting massive particles (WIMPs) may interact with a virtual pion that is exchanged between nucleons. This interaction channel is important to consider in models where the spin-independent isoscalar channel is suppressed. Using data from the first science run of the LUX-ZEPLIN dark matter experiment, containing 60 live days of data in a 5.5 tonne fiducial mass of liquid xenon, we report the results on a search for WIMP-pion interactions. We observe no significant excess and set an upper limit of 1.5 × 10−46 cm2 at a 90% confidence level for a WIMP mass of 33 GeV/c2 for this interaction.

VAIV bio-discovery service using transformer model and retrieval augmented generation

BackgroundThere has been a considerable advancement in AI technologies like LLM and machine learning to support biomedical knowledge discovery.Main bodyWe propose a novel biomedical neural search service called ‘VAIV Bio-Discovery’, which supports enhanced knowledge discovery and document search on unstructured text such as PubMed. It mainly handles with information related to chemical compound/drugs, gene/proteins, diseases, and their interactions (chemical compounds/drugs-proteins/gene including drugs-targets, drug-drug, and drug-disease). To provide comprehensive knowledge, the system offers four search options: basic search, entity and interaction search, and natural language search. We employ T5slim_dec, which adapts the autoregressive generation task of the T5 (text-to-text transfer transformer) to the interaction extraction task by removing the self-attention layer in the decoder block. It also assists in interpreting research findings by summarizing the retrieved search results for a given natural language query with Retrieval Augmented Generation (RAG). The search engine is built with a hybrid method that combines neural search with the probabilistic search, BM25.ConclusionAs a result, our system can better understand the context, semantics and relationships between terms within the document, enhancing search accuracy. This research contributes to the rapidly evolving biomedical field by introducing a new service to access and discover relevant knowledge.

A novel type-2 decision mechanism for dynamic parameter adaptation: theory and application in mathematical and structural problems

Metaheuristic algorithms are stochastic-based search techniques widely used for solving different types of optimization problems. These methods mostly adjust their search behavior using pre-defined search pattern(s) regardless of the current problem specifications. Therefore, integrating them with logical auxiliary modules can significantly enhance their search efficiency by enabling them to dynamically adapt their search behavior. The present study introduces a novel decision-making approach that employs interval type-2 fuzzy logic to balance the search behavior during optimization process. The proposed approach, designed as a stand-alone module with the flexibility to be integrated into various algorithms, is incorporated into the Interactive Search Algorithm. The developed reinforced technique is named Type-2 Fuzzy Interactive Search Algorithm. Performance of the proposed method is tested on different unconstrained mathematical functions and constrained structural and mechanical optimization problems. The attained results are compared with standard ISA method and seven other metaheuristic techniques through a suite of numerical and statistical evaluations. Drawing from the obtained results, the integration of the type-2 fuzzy decision module significantly enhances the algorithm's search capability. This improvement is evident in terms of stability, accuracy, and computational cost. It is worth noting that the employed comparative performance index for the proposed method indicates improvements of 3.38, 13.09, 16.61, and 27.23 percent compared to the best solution found by the selected methods for engineering problems.

Current advances of oral cancer in Taiwan.

To provide updated statistics of oral cancer incidence and mortality in Taiwan, and to describe recent developments for oral cancer control to reduce oral cancer incidence and mortality. The Taiwan Cancer Registry Annual Report 2023, the Taiwan Cancer Registry Online Interactive Search System, and the 2023 Health Promotion Administration Annual Report are consulted and summarized. A literature search using PubMed was also conducted to identify Taiwan oral cancer control-related studies. Taiwan, with a long history of areca/betel quid chewing, has battled with oral cancer for decades. In 2021, the male lip and oral cavity cancer incidence is 29.77 (per 100,000 persons) and mortality is 11.25. Over these years, the male chewing prevalence was reduced to 6.2% in 2018. Taiwan has a sustained national oral cancer screening programme provided to high-risk groups biennially. Although the age-standardized incidence rates have been slowly decreasing since 2009, due to Taiwan's ageing population, the actual oral cancer burden is still stringent. The collaboration of multi-ministries and agencies on promoting areca nut and betel quid control, improving oral cancer awareness, and delivering cancer care remains essential to prevent oral cancer and reduce oral cancer deaths.

Prevalence of recreational and medical cannabis products in Veterans and their interactions with cancer directed pharmacological treatment.

3089 Background: There is proliferation of literature about the medical uses of cannabis products in patients with malignancies. However, research is lacking as to how cannabis use is affecting the efficacy and toxicity of anti-neoplastic regimens It is known that cannabis is metabolized by the cytochrome p450 pathway, the same as many anti-neoplastic agents and thus there are concerns for potential interactions. Methods: We report an observational study to identify cannabis users in veterans receiving anti-neoplastic therapy in the Memphis VA health system, and to then analyzed for potential interactions between cannabis product and the antineoplastic agent/s they were receiving. Data was collected via voluntary surveys. We then reviewed their charts, recorded the anti- neoplastic medications they were receiving, and evaluated for potential interactions with cannabis, based on a literature review of potential interactions. Results: In this study, 132 veterans agreed to participate. 50 of them acknowledged recent use of cannabis products within the last 90 days. Thus, the prevalence of cannabis use amongst those who participated is 37.87%. Demographically, 10% of the cannabis users were female, and 90% were male, with the majority aged 60-65 (range 46-85). Predominantly, patients inhaled cannabis once daily (38%) as opposed to using a different formulation. The patients who admitted cannabis use were primarily on chemotherapy (42%), while 38% were on immunotherapy, 24% were on targeted therapy and 20% were on endocrine therapy. Some were on multiple drugs. Based on this data and a literature search for interactions, we found that a significant number of the patients in our Veteran’s oncology clinic have a potential increase in toxicity or decreased efficacy from their ant-neoplastic therapy due to CYP interactions with cannabis use. Conclusions: In this exploratory study, we discovered a notable prevalence of patients concurrently using cannabis products while on anti-neoplastic treatment. Given that many anti-neoplastic agents undergo metabolism via the CYP450 pathway, our data suggest that a moderate number of patients in our clinic risk less than optimal outcomes due to concurrent cannabis and anti-neoplastic therapy. To delve deeper, we intend to conduct a follow-up study, focusing on specific adverse effects, hospitalizations, and the subsequent need for 2nd and 3rd line treatments in patients using cannabis. A much larger multi-institutional study should be considered to provide statistically relevant data on true outcomes. [Table: see text]