Custom Search Research Articles

Blurring the lines: the vague boundary between mainstream and deviant internet pornography tags for at-risk viewers

ABSTRACT Illegal material is increasingly appearing on popular mainstream websites. Many commentators worry about the impact of such material on adolescents' psycho-sexual development and the potential for some legal pornography to act as a gateway to child sexual exploitation material for users of any age. In this study, we collected publicly available data from a popular legal pornography website to assess the risk of adolescent exposure to content that may hinder healthy psycho-sexual development. We analysed over 27 million customer searches involving 149 video tags from this site. Five international experts on the effects of pornography rated the tags, categorising them into five overlapping genres: mainstream, incestuous, underage, aggressive and non-consensual. They also assessed the potential risk each genre posed. Our analysis found a significant positive correlation between the harm ratings and the frequency of tags used as search terms. Additionally, eleven of the twelve tags with the highest mean risk scores involved potential underage and/or incestuous content. This study highlights a concerning relationship between the harm ratings of various pornographic genres and their popularity as search terms. While exploratory, these results emphasise the need for regulatory measures to address the presence of harmful material on mainstream websites. PRACTICE IMPACT STATEMENT The study has practical implications for the regulation of potentially harmful pornography by legal pornography sites. The sites should (a) control the use of tags and how new tags are developed in order to prevent content creators from advertising potentially illegal material, (b) vet all content before it is uploaded for public consumption, and (c) implement screening systems to retrospectively find and eradicate all illegal or harmful content already in their collection.

DEVELOPMENT OF SOCIAL ENTREPRENEURSHIP IN UKRAINE

The article examines the theoretical, methodological and practical aspects of the development of social entrepreneurship in Ukraine in modern conditions. The main factors affecting the slow development of this sector have been identified and analyzed, including: lack of legislative regulation of the activities of social enterprises, insufficient awareness of the population about their activities, a small number of social enterprises and socio-economic instability of the national economy. Key external and internal factors contributing to the development of social entrepreneurship at the regional level were discussed, and recommendations aimed at improving the situation were substantiated, including the need to develop a national strategy for the development of social entrepreneurship. The authors justified the importance of applying a comprehensive approach to the development of social entrepreneurship and support at all levels to ensure the rapid development of social enterprises, which will contribute to solving social problems and improving the welfare of society. It was found that the development of social entrepreneurship in the regions of Ukraine is determined by a combination of external and internal factors, including informing the population, simplifying taxation, grant support, preferential lending, support from the authorities, staff training, production development and the search for new customers. It was determined that in order to ensure the effective development of social entrepreneurship in Ukraine, it is necessary to develop a national strategy that would ensure the coordination of efforts of all interested parties, as well as support regional initiatives, such as the creation of resource centers and the development of regional strategies. The role of social enterprises in the employment of vulnerable segments of the population, employment of youth, solving gender problems, and generating funds to finance the solution of social problems within the scope of their activities has been studied.

Optimizing Distributed Tiered Data Storage Systems with DITIS

Modern data storage systems are characterized by a distributed architecture as well as the presence of multiple storage tiers and caches. Both system developers and operators are challenged with the complexity of such systems as it is hard to evaluate how a configuration change will impact the workload or system performance and identify the best configuration to satisfy some performance objective. DITIS is a new simulator that models the end-to-end execution of file requests on distributed tiered storage systems that addresses the aforementioned challenges efficiently without any costly system redeployments. The demonstration will showcase the key functionalities and benefits offered by DITIS, including (i) analyzing workload traces to understand their characteristics and the behavior of the underlying storage system; (ii) running simulations with different configurations to evaluate their impact on performance; and (iii) running optimizations over custom search spaces to find the best configuration that satisfies a given objective.

TESS Hunt for Young and Maturing Exoplanets (THYME). X. A Two-planet System in the 210 Myr MELANGE-5 Association

Young (<500 Myr) planets are critical to studying how planets form and evolve. Among these young planetary systems, multiplanet configurations are particularly useful, as they provide a means to control for variables within a system. Here, we report the discovery and characterization of a young planetary system, TOI-1224. We show that the planet host resides within a young population we denote as MELANGE-5. By employing a range of age-dating methods—isochrone fitting, lithium abundance analysis, gyrochronology, and Gaia excess variability—we estimate the age of MELANGE-5 to be 210 ± 27 Myr. MELANGE-5 is situated in close proximity to previously identified younger (80–110 Myr) associations, Crius 221 and Theia 424/Volans-Carina, motivating further work to map out the group boundaries. In addition to a planet candidate detected by the TESS pipeline and alerted as a TESS object of interest, TOI-1224 b, we identify a second planet, TOI-1224 c, using custom search tools optimized for young stars (Notch and LOCoR). We find that the planets are 2.10 ± 0.09 R ⊕ and 2.88 ± 0.10 R ⊕ and orbit their host star every 4.18 and 17.95 days, respectively. With their bright (K = 9.1 mag), small (R * = 0.44 R ⊙), and cool (T eff = 3326 K) host star, these planets represent excellent candidates for atmospheric characterization with JWST.

Long-term effects of meteorological factors on severe fever with thrombocytopenia syndrome incidence in eastern China from 2014 to 2020: An ecological time-series study.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease with susceptibility influenced by meteorological factors. However, there is limited understanding of the delayed and interactive impacts of meteorological factors on SFTS incidence. Daily incidence data of SFTS and corresponding meteorological factors for the Jiaodong Peninsula in northeast China were collected from January 1, 2014, to December 31, 2020. Random forest regression model, based on custom search, was performed to compare the importance of meteorological factors. Generalized additive model with quasi-Poisson regression was conducted to examine the nonlinear relationships and interactive effects using penalized spline methods. A distributed lag nonlinear model with quasi-Poisson regression was constructed to estimate exposure-lag effects of meteorological factors. The most important meteorological factor was weekly mean lowest temperature. The relationship between meteorological factors and SFTS incidence revealed a nonlinear and intricate pattern. Interaction analyses showed that prolonged sunshine duration posed a climatic risk within a specific temperature range for SFTS incidence. The maximum relative risk (RR) observed under extremely low temperature (-4°C) was 1.33 at lag of 15 week, while under extremely high temperature (25°C), the minimum RR was 0.65 at lag of 13 week. The RRs associated with both extremely high and low sunshine duration escalated with an increase in lag weeks. This study underscores that meteorological factors exert nonlinear, delayed, and interactive effects on SFTS incidence. These findings highlight the importance of understanding the dependency of SFTS incidence on meteorological factors in particular climates.

Optimal Dynamic Mechanism Under Customer Search

How to Sell to a Customer Who Searches for Alternative Products Customer searching behavior has been ubiquitous in modern marketplaces. Dynamic pricing, such as giving promotional prices to customers who purchase earlier, has been commonly adopted in practice to discourage customers from searching. In the paper “Optimal Dynamic Mechanism Under Customer Search,” Z. Hu and Y. Xiao characterize that, in the optimal selling mechanism, the seller should offer a menu of American option contracts. Under such a mechanism, the customer is given all the freedom in conducting the search but must pay an up-front deposit from the chosen option contract in order to enjoy the right to purchase the seller’s product anytime during the search at a prespecified strike price. Through deposits, the seller is able to extract the customer’s additional surplus from searching regardless of whether the customer makes the final purchase or not. As a result, the seller can often obtain a much higher profit than dynamic pricing mechanisms that aim to deter searching.

Using ILLiad Custom Searches to Develop and Refine Collections

Using ILLiad Custom Searches to Develop and Refine Collections

Should competing sellers adopt the data analytics service to enable product improvement in online marketplace

More and more marketplace platforms choose to use the data gathered from consumers (e.g., customer search terms, demographics) to provide a data analytics service for third-party sellers, both encouraging innovations and improving the operations of the latter. Through adopting the data analytics service, a seller can enhance its competitiveness by improving the quality of its products when there is more than one seller offering substitutes. This study develops a game-theoretic model to characterize a scenario with a marketplace platform and two competing sellers that sell substitutable products and decide whether to adopt the data analytics service provided by the platform. Then, we find that a seller's decision of whether or not to purchase the service depends on the competitor's decision and the two sellers' absorptive capacities of knowledge. Furthermore, a seller can benefit from adopting the data analytics service only if the seller has a high absorptive capacity, which can help increase product quality. When only one seller adopts, the platform and competing sellers can benefit from the adoption if this seller's absorptive capacity is high and the other's is moderate. The sellers' interests and social welfare can be aligned unless both sellers' absorptive capacities are low or high.

Customer search strategies of entrepreneurial telehealth firms – how effective is effectuation?

PurposeThe demand for healthcare innovation is increasing, and not much is known about how entrepreneurial firms search for and sell to customers in the highly regulated and complex healthcare market. Drawing on effectuation perspectives, we explore how entrepreneurial digital healthcare firms with disruptive innovations search for early customers in the healthcare sector.Design/methodology/approachThis study uses a qualitative, longitudinal multiple-case design of four entrepreneurial Nordic telehealth firms. In-depth interviews were conducted with founders and senior managers over a period of 27 months.FindingsWe find that when customer buying conditions are highly flexible, case firms use effectual logic to generate customer demand for disruptive innovations. However, under constrained buying conditions firms adopt a more causal approach to customer search.Practical implicationsManagers need to gain a deep understanding of target buying environments when searching for customers. In healthcare sector markets, the degree of flexibility customers have over buying can constrain them from engaging in demand co-creation. In particular, healthcare customer access to funding streams can be a key determinant of customer flexibility.Originality/valueWe contribute to effectuation literature by illustrating how customer buying conditions influence decision-making logics of entrepreneurial firms searching for customers in the healthcare sector. We contribute to entrepreneurial resource search literature by illustrating how entrepreneurial firms search for customers beyond their networks in the institutionally complex healthcare sector.

How Recommendation Affects Customer Search: A Field Experiment

The findings of this study have important implications for digital platform designers, managers, and regulators. First, the large-scale field experiment provides valuable insights into the relationship between product recommendation and consumer search under different scenarios. It highlights the importance of understanding consumer demand states and previous interests. Platforms can use these findings to customize product recommendations at an individual level and foster channel complementarity between recommendation and search. Second, the study emphasizes the need to consider channel spillovers. Optimizing recommender systems without considering the impact of channel interactions with search engines may lead to suboptimal results. Platforms should aim for a more coordinated integration of recommendation and search channels, as our conceptual framework illustrates how customers in different demand states can be influenced and served by both systems. Third, the findings offer insights into the potential impact of data regulations on e-commerce platforms. The study demonstrates that data regulations have a greater impact on the recommendation channel compared with the search channel. Platforms should find a balance between recommendation and search when facing stringent data regulations. They may strategically focus on the search channel to gather revealed customer interests, leading to a deeper integration of both channels.

Annotating microbial functions with ProkFunFind.

Analyzing microbial genomes has become an essential part of microbiology research, giving valuable insights into the functions and evolution of microbial species. Identifying genes of interest and assigning putative annotations to those genes is a central task in genome analysis, and a plethora of tools and approaches have been developed for this task. The ProkFunFind tool was developed to bridge the gap between these various annotation approaches, providing a flexible and customizable search approach to annotate microbial functions. ProkFunFind is designed around hierarchical definitions of biological functions, where individual genes can be identified using heterogeneous search terms consisting of sequences, profile hidden Markov models, protein domains, and orthology groups. This flexible and customizable search approach allows for searches to be tailored to specific biological functions, and the search results are output in multiple formats to facilitate downstream analyses. The utility of the ProkFunFind search tool was demonstrated through its application in searching for bacterial flagella, which are complex organelles composed of multiple genes. Overall, ProkFunFind provides an accessible and flexible way to integrate multiple types of annotation and sequence data while annotating biological functions in microbial genomes.IMPORTANCEGenome sequencing and analysis are increasingly important parts of microbiology, providing a way to predict metabolic functions, identify virulence factors, and understand the evolution of microbes. The expanded use of genome sequencing has also brought an abundance of search and annotation methods, but integrating the information from these different methods can be challenging and is often done through ad hoc approaches. To bridge the gap between different types of annotations, we developed ProkFunFind, a flexible and customizable search tool incorporating multiple search approaches and annotation types to annotate microbial functions. We demonstrated the utility of ProkFunFind by searching for gene clusters encoding flagellar genes using a combination of different annotation types and searches. Overall, ProkFunFind provides a reproducible and flexible way to identify gene clusters of interest, facilitating the meaningful analysis of new and existing microbial genomes.

Deciphering the importance of herbal immunostimulants in aquaculture, using citation network analysis: A futuristic sustainable approach

Aquaculture is the fastest growing food sector round the globe, with huge potential for expansion. The objectives of United Nations Sustainable Development Goals (SDGs) can be met with concerted efforts of stakeholders for circular economy. It plays a critical role in global food production and over half of the aquatic foods for human consumption are farmed. According to several studies bacteria, fungi, viruses, and parasites are the main causative agents of aquaculture diseases. Antibiotics and synthetic chemicals are typically used by fish farmers to overcome these infections and reducing the mortality rate. Medicinal herbs have been used for thousands of years, as immunostimulants. The use of medicinal herbs as natural, risk-free substitutes for antibiotics and immunoprophylactics in aquaculture may prove to be advantageous. In this study, scholarly data was retrieved using Scopus database and were manually curated and approximately 150 scholarly articles were obtained using customized keyword search to be used for citation network analysis. There are a total of 5 clusters based on the relevant keywords consisting of 87 items and 2195 links amongst them. The work related to dietary supplements, immunology and fish foods have gained more relevance since 2016, as revealed by its interactions with relevant terms. In this research article, we aim to provide an overview of current research in this field, identify research hotspots, project future development prospects, and make recommendations for further research in aquaculture using sustainable approaches by exploiting the natural herbs and plants as immunostimulants. This work is related to the sustainable approach exploring medicinal plants as immunostimulants and will definitely find new promising avenues in this area.

Strategic driver repositioning in ride-hailing networks with dual sourcing

In ride-hailing markets, the spatial mismatch between supply and demand characterizes one of the most fundamental operational bottlenecks. The voluntary customer search of drivers is oftentimes inadequate for narrowing the demand-supply gaps and falls short in responding timely to the dynamic market conditions. To facilitate better supply management, some ride-hailing platforms now adopt a dual-sourcing strategy by converting some freelance drivers as contractors, who would then follow platforms’ guidance on repositioning movements when idle. This paper thus aims to analyze the implications of such a dual-sourcing strategy on the overall operations of ride-hailing services. We consider a monopolistic platform that owns a blended workforce, with freelance drivers searching for customers following their own preferences whilst contracted drivers repositioning in a centralized manner as system actuators. A mixed network equilibrium model is devised to capture the interplay between the idle repositioning movements of both parties. The theoretical existence of the mixed equilibrium is proved, and real-world data is invited to quantify the effects of dual sourcing on various market sectors. Our numerical results confirm the effectiveness of dual sourcing in smoothing operations, increasing customer demand, and driving up the revenue of ride-hailing services. However, the benefit of dual sourcing to the platform remains sensitive to the proportion of contractors in the entire workforce as well as the stimulative commission beyond their regular service income.

Patent landscaping and citation network analysis to reveal the global research trends in biopriming using microbial inoculants: an insight toward sustainable agriculture.

As an alternative to harmful chemical fertilizers and toward fulfilling Sustainable Development Goals (SDGs)of the United Nations, growth promoting rhizobacterial bioinoculants,emerged as potentialplayers. These act in multifunctional ways, including seed colonization, seed germination, stress tolerance and manymore, leading to proper growth and development of plants. Biopriming seeds with these beneficial multi-trait microbes is an effective way to introduce them in the soil, and this is an example of bottom-up approach of rhizosphere engineering. Using such sustainable approach is promising and, to investigate and analyze, their research trends are of prime importance. Thus,data were retrieved using Lens and Scopus databases and used for patent landscaping and citation network analysis, respectively. For patent landscaping, documents obtained using customized keyword search were broadly from the past 35years (1987-2022) and yielded 114 patents which were manually curated in title, abstract and claims (TAC). From the year 2000, interest in this area was observed which further gained momentum from the year 2008, and a maximum peak was observed in the year 2021. Patent profile (filed, granted and published) showed an upward trend during this tenure (1987-2022). In this research article, we aim to provide an overview of current research in this field, identify research hotspots, project future development prospects and make recommendations for further research. Patent landscaping and citation network analysis were used to analyze the recent trends in biopriming approaches using microbial bioinoculants for the first time to identify progress and hotspots in the field of seed priming with PGPRs.

Factors Influencing ChatGpt Adoption for Product Research and Information Retrieval

ABSTRACT In recent months, Generative AI-based systems have become increasingly prevalent for public use. Traditionally, people use Google and other search platforms to research a product before purchasing. However, with the integration of ChatGPT into Bing and Google’s announcement of BARD, these models have the potential to impact how customers search for and discover products significantly. This article aims to understand whether people will shift from traditional to Generative AI-based search engines. The research examines the factors influencing purchase decisions and the likelihood of individuals using ChatGPT instead of traditional search engines and other sources. The results indicate that gender, product knowledge, and preference for online or retail store purchases can help predict their inclination to switch to ChatGPT. The paper also discusses people’s trust in Generative AI and the influence of demographic features on their attitude toward these machine learning systems.

B-137 Development of a Novel Software System for Providing Real-Time Laboratory Test Information to Clinicians at Point of Order Entry

Abstract Background Clinicians depend on an increasingly complex set of laboratory tests to aid in the diagnosis and monitoring of patients. Staying informed about the proper usage of these tests requires active effort, especially as test offerings continually evolve. To aid in test decision making, institutions often implement some form of decision support, including: grouping of common “order sets”, “best practice alert” popups, and web-based “lab catalogs”. For many institutions, lab catalogs provide the most comprehensive information on available tests, but typically exist separate from the interface used to place test orders, and thus suffer from underutilization in actual clinical practice. Methods We developed a novel, open-source software to closely integrate our institution’s lab catalog at the point of order entry within our electronic medical record (EMR) system. The software provides an immediate pop-up window anytime a clinician needs additional information while placing orders. The software also provides an independent, customizable search function that helps steer clinicians away from commonly mis-ordered tests. Both functions are immediately available at the point of order entry, without requiring the user to leave the EMR or otherwise interrupt their normal workflow. We conducted a small usability pilot with a focus group of clinicians, using the System Usability Scale (SUS) (1). Results Our software reduced the number of clicks and keystrokes needed to access detailed lab information from 27 to 2. The focus group (n = 6) rated the product favorably on the SUS, with average rating 89 ± 9 out of 100. Conclusion This study demonstrates proof-of-concept for a novel software decision support tool that provides instant access to lab information at the point of order entry. Future work will focus on evaluating utility in a real-world clinical pilot.

Influence of dental implant/mini-implant design on stress distribution in overdentures: a systematic review.

Critically evaluate the existing literature and answer the question, "Does the dental implant/mini-implant design influence the stress distribution in prosthetic overdentures according to finite element analysis?". This systematic review was registered in the Open Science Framework (osf.io/2bquj) and followed the PRISMA protocols. The custom search strategy was applied to 4 databases. In vitro experimental studies that evaluated the influence of dental implant/mini-implant design on stress distribution in overdentures by FEM, without time and language restrictions, were included. The selection process was carried out in two stages by two reviewers independently. Risk of bias analysis was performed by a checklist of important parameters. Sixty articles were evaluated by their title and abstract, four were selected for full reading, three were relevant, and nine were included by additional search. The 12 studies have a low risk of bias. The meta-analysis could not be performed due to the heterogeneity of the data (implant type, design variation, load intensity, and direction). It can be inferred from the evaluated literature that design modifications influence the stress distribution, but as the FEM presents limitations inherent to the in vitro study, clinical trials are necessary to infer the effectiveness of the modifications. It should be noted that there is no consensus on which is the best thread design and that implants with a very narrow diameter are subject to the highest stress concentration.

European Experience in Assessing the Potential of Innovative Consulting Services

Innovative consulting services in various sectors of the EU economy are popular due to the potential of companies to attract private and public financial resources. The purpose of this article was to study the implementation of innovative consulting services to assess their potential. The research methodology is based on a statistical analysis of the system of indicators of innovative consulting services and a correlation analysis of the impact on the activities of EU firms. The results show that the most common form of innovation consulting are self-development, product improvement, process, customer search, access to new customer segments, etc. Involvement of consulting organizations in the development of innovative products is carried out by 40% of companies, and the introduction of information and communication technologies and business process updates is the most popular type of consulting in the EU.

ENHANCING SEARCH CAPABILITIES: EXPLORING LUCENE AND SOLR TECHNIQUES FOR IMPROVED SEARCH PERFORMANCE

In todays digital age, data is everything. Dealing with and accessing a lot of data is a common task for almost every individual, be it for personal or for professional purposes and they expect applications to provide fast and accurate search capabilities to access and view their data. But all this data becomes meaningless if it cannot be accessed easily when needed or within a certain amount of time. This study aims to implement a powerful and customizable search feature in applications using the open-source search technologies, Lucene and Solr. The system will use Lucenes efficient indexing and querying capabilities to create an inverted index of the applications content, enabling fast and accurate full-text search. Solr will provide a web interface for the search functionality, allowing users to easily perform searches and filter results by various criteria such as date, author, category, and more. By incorporating Lucene and Solr, the system will be able to overcome the previous mentioned issues by providing search results significantly faster and deliver a robust, fast, and user-friendly search experience for applications that can be easily integrated into any application.

IMP상호작용모델을 적용한 B2B2C 제조업체의 대형유통업체 입점 전략 방안

This work extends the B2B-centric IMP interaction model to the setting of B2B-to-consumer transactions. We investigate and modify the current model components using a case study of SG Development, a startup manufacturer that joined a large store. In addition, we define the essential components and stages of the entry strategy for new producers. Our findings highlight the significance of manufacturer-retailer interactions in B2B2C transactions and offer an extended IMP interaction model that adds early customer search and response. This study contributes to B2B2C transaction research and provides practical implications for new manufacturers seeking entry into large retailers.