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2022 ◽  
Vol 40 (2) ◽  
pp. 1-24
Author(s):  
Franco Maria Nardini ◽  
Roberto Trani ◽  
Rossano Venturini

Modern search services often provide multiple options to rank the search results, e.g., sort “by relevance”, “by price” or “by discount” in e-commerce. While the traditional rank by relevance effectively places the relevant results in the top positions of the results list, the rank by attribute could place many marginally relevant results in the head of the results list leading to poor user experience. In the past, this issue has been addressed by investigating the relevance-aware filtering problem, which asks to select the subset of results maximizing the relevance of the attribute-sorted list. Recently, an exact algorithm has been proposed to solve this problem optimally. However, the high computational cost of the algorithm makes it impractical for the Web search scenario, which is characterized by huge lists of results and strict time constraints. For this reason, the problem is often solved using efficient yet inaccurate heuristic algorithms. In this article, we first prove the performance bounds of the existing heuristics. We then propose two efficient and effective algorithms to solve the relevance-aware filtering problem. First, we propose OPT-Filtering, a novel exact algorithm that is faster than the existing state-of-the-art optimal algorithm. Second, we propose an approximate and even more efficient algorithm, ϵ-Filtering, which, given an allowed approximation error ϵ, finds a (1-ϵ)–optimal filtering, i.e., the relevance of its solution is at least (1-ϵ) times the optimum. We conduct a comprehensive evaluation of the two proposed algorithms against state-of-the-art competitors on two real-world public datasets. Experimental results show that OPT-Filtering achieves a significant speedup of up to two orders of magnitude with respect to the existing optimal solution, while ϵ-Filtering further improves this result by trading effectiveness for efficiency. In particular, experiments show that ϵ-Filtering can achieve quasi-optimal solutions while being faster than all state-of-the-art competitors in most of the tested configurations.


Author(s):  
عبد الرزاق بوسمينة ◽  
كمال بطوش

Open access is one of the topics that attracted the researchers interest as it is a turning point for the recovery of technical and scientific information’s recovery which requires a set of tools and technical skills. This study aims to discover the main problems of information’s recovery within open access in addition to the inventory of the most important smart search engines and to know the strategies of information’s recovery. The study adopted the descriptive analytical approach, and came out with a number of important conclusions, the most important are : Searching for scientific and technical information in the open access environment has become a very difficult and the researcher does not know which of them is more useful. Relying on the common ranking of sites, smart search engines in its work, depends on semantic web applications, most notably XML, RDF and ontology, users can quickly find specific search results through smart search engines without having to become experts in search engines or have a well-defined strategies for searching within the open access environment. The study also showed that the semantic scholar search engine deals with open sources more efficiently than traditional search engines through its ability to discover these sources and display them to the beneficiary in a distinctive way.


Author(s):  
يسرى خالد إبراهيم ◽  
قصي محمد حسين

The research aims to identify the extent to which minorities depend on social networking sites to introduce their issues and to know the extent to which minorities follow these sites and to identify the most important sites they rely on and the extent of their trust in them and to know the effects resulting from their dependence on these sites after these sites have become one of the most important promotional means for what It is characterized by the ease of communication and creating a public space for discussion and formation of views. This research is a descriptive research that adopted the survey method. The research tools are observation, interview, and questionnaire that were used to collect data for the field study. The research sample is a simple random sample from the total community of minorities located within the geographical area of Nineveh Governorate. The research concluded with a set of results, most notably: the respondents’ reliance on social networking sites to get acquainted with the news of the sect to which they belong. Follow-up on social networking sites, and the search results showed the side of the terms closest to the respondent for the category (components) and then (minorities).


Author(s):  
Jianglai Liu

Dark matter, an invisible substance which constitutes 85% of the matter in the observable universe, is one of the greatest puzzles in physics and astronomy today. Dark matter can be made of a new type of fundamental particle, not yet observed due to its feeble interactions with visible matter. In this talk, we present the first results of PandaX-4T, a 4-ton-scale liquid xenon dark matter observatory, searching for these dark matter particles from deep underground. We will briefly summarize the performance of PandaX-4T, introduces details in the data analysis, and present the latest search results on dark matter-nucleon interactions.


2022 ◽  
pp. 49-72
Author(s):  
Elizabeth Fetterolf

Trust, visibility, and the deepening of existing inequalities are major themes within the platform care work literature. However, no study to date has applied these themes to an analysis of worker profiles. I investigate both how workers communicate trustworthiness through their profiles on Care.com, the world’s largest care work platform, and which of these profiles are rendered more and less visible to clients. Through a qualitative content analysis of profiles (n=60) sampled from the top and bottom search results in three different US zip codes, I find that visibility is often related to connectivity, response time, and positive reviews, and who is rendered visible mirrors preexisting inequalities. The language of “passion” for the job is common across top and bottom profiles, indicating a contradiction between the deemphasis on professionalization and the high level of connectivity and responsiveness present in top profiles.


2022 ◽  
pp. 382-405
Author(s):  
Nesrin Ozcan Akdag ◽  
Mustafa Zihni Tunca

The fragility of the global economy during the COVID-19 outbreak has shown the importance of supply chain sustainability. Although academic interest in the concept of sustainable supply chain management has risen significantly in the last decades, this concept has lately attracted the attention of policymakers as one of the dynamics of the “new normal” in the post-COVID-19 era. This study was carried out to highlight the dynamics of SSCM in the post-COVID-19 era, based on the recent developments in sustainable supply chain literature. Hence, the bibliometric analysis method was utilized by using various software packages. The data collected for this research consists of the finding of the search results of the “Sustainable Supply Chain Management” phrase from the Web of Science database for the period of 1975 – 2021. In total, 326 articles have been included in the analyses.


2022 ◽  
Vol 21 (1) ◽  
pp. 8-18
Author(s):  
Afzan Mat Yusof

The biology of Cryptosporidium has been studied increasingly since it was recognized as a pathogen of humans more than a century. Its recent recognition as a second leading cause of diarrhoea or cryptosporidiosis immunocompromised patients globally has led many researchers to study on this parasite. Many new technologies such as high-throughput omics and bioinformatics tools have been implemented to investigate this zoonotic parasite in a better approach. The aim of this review article is mainly to briefly describe recent applications of structural bioinformatics in order to reveal the potentiality of a suitable therapeutic target in Cryptosporidium. This review was written based on the search of cited publications in SCOPUS website with the combination of word ‘Cryptosporidium’ with other words like bioinformatics, protein structure, structural biology and homology modeling. The search results then were selected based on the relativeness of updated information needed to be prepared in this review. Several cited publications were used to elaborate the review accordingly despitelimitedreviewupdatesrelatedtoprotein bioinformation of thisparasite. As a conclusion, bioinformatics is a commonly known to be cutting-edge technology that has been recognised for its power to reveal the secret of parasite biology in silico including a neglected parasite, Cryptosporidium. Bangladesh Journal of Medical Science Vol. 21(1) 2022 Page : 8-18


2021 ◽  
Vol 5 (3) ◽  
pp. 130
Author(s):  
Vivin Nadine Ekayultania ◽  
Ryna Dwi Yanuaryska ◽  
Silviana Farrah Diba

Objectives: The purpose of this narrative review is to discover radiographic images in panoramic and periapical radiographs that are used as identifiers and to compare the use of panoramic and periapical radiographs in identification based on DVI. Review: The databases used in this narrative review are Google Scholar, PubMed, and Science Direct. A total of 1258 search results appeared based on keywords. The search results were selected by title and abstract according to their relevance to the review topic, then results are selected again based on the inclusion and exclusion criteria. Total of 38 literatures were reviewed. This review shows radiographic identifiers used in panoramic radiographs are tooth restorations, crown, Root Canal Treatment (RCT), dental bridge, dental implants, maxillary sinus, rectilinear metal plate, orthodontic brackets, tooth anomaly, and root morphology. The radiographic identifiers used in periapical radiograph are tooth restorations, PSA, tooth anomaly, and root morphology. In this review, 53.8% of the literatures used panoramic radiograph for identification, whereas 46.2% used periapical radiograph. Conclusion: This review concluded that the most used radiographic identifier in panoramic radiograph is tooth restoration (57,1%) whereas in periapical radiograph is RCT (83,3%). Panoramic radiography were used in 53,8% of the literatures in this review, it was used more than periapical radiography.


2021 ◽  
Author(s):  
Nishali Kirit Patel ◽  
Elinor Wahal ◽  
Adriana Mancilla Galindo ◽  
Alejandra Rodarte ◽  
Tim Jesudason ◽  
...  

BACKGROUND The emergence of digital technologies over the past decade has presented a novel opportunity to address healthcare challenges associated with COVID-19 and accelerate progress towards achieving the health-related goals under the 2030 Sustainable Development Agenda. Public-private partnerships (PPPs) have played a vital role in scaling up digital health solutions and disseminating curated scientific information in the face of the infodemic. However, several challenges remain around the effectiveness of PPP-related digital solutions and antagonistic viewpoints of engaging the private sector. We sought to evaluate the role of public-private partnerships in the digital public health space during COVID-19 and identify key lessons learned and challenges in the uptake of digital health solutions globally. OBJECTIVE Electronic and grey literature search results from PubMed, Google, and Google Scholar were screened by one reviewer through a two-stage process. We included all relevant systematic reviews, interventional, observational, and descriptive studies published in English published from January 2020 to June 2021. Two case study analyses on digital health chatbots, informed by expert opinion, were also performed to assess for the role of public-private partnerships in advancing digital public health solutions. METHODS Electronic and grey literature search results from PubMed, Google, and Google Scholar were screened by one reviewer through a two-stage process. We included all relevant systematic reviews, interventional, observational, and descriptive studies published in English published from January 2020 to June 2021. Two case study analyses on digital health chatbots, informed by expert opinion, were also performed to assess for the role of public-private partnerships in advancing digital public health solutions. RESULTS Forty-five articles met the inclusion criteria for qualitative analysis, the majority of which were secondary research. Results of the publications can be broadly categorized into three groups: (1) models and definitions of public-private partnerships used in the healthcare space; (2) purposes of and motivations of public-private partnerships in global public health; and (3) and facilitators, barriers, and challenges to date. CONCLUSIONS The literature review as well as the case studies analysis reveal that PPPs can represent a valid option for tackling global healthcare issues with a digital health approach. Further research is needed to complement the initial findings of the present paper, as well as to assess a wider pool of case studies and the different features that they might present.


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