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The study focuses on the transformation of the alimentary models of the imaginative Other. Based on the statistics of the Russian Internet queries, the authors identified a number of markers, determining the main alimentary models of the Other. They carried out a comparative analysis of the obtained in 2018-2019 (pre-Сovid-19) models with similar Post-Covid models for 2021-2022. The researchers' hypothesis is that the queries can reveal the attitude of the modern Russians to the Other, determine the criteria by which the images are formed and the factors, affecting their transformation. The study showed that interest in the Other’s food is unstable. The number of queries constantly fluctuates. Both external factors (geopolitical, etc.) and contact with the objects of foreign mass culture can influence the growth of interests. At the same time, all markers (and stereotypes) can be conditionally divided into two groups: stable (fixed for several years), and situational, determined by external factors. The long-term analysis allowed the authors to trace the increased relevance of a number of cannibalistic markers in the image of the Other, the main reason for which, according to the researchers, was the pandemic, and the subsequent decline of interest in them in 2022. We should also mention the growing interest in video content (mukbang) In our view, this interest may be indicative of the observer's desire to transcend cultural boundaries and interact more closely with the Other. It is also particularly curious that this interest is directed toward the most alert models of the Other.

Search engine queries are the starting point for studies in different fields, such as health or political science. These studies usually aim to make statements about social phenomena. However, the queries used in the studies are often created rather unsystematically and do not correspond to actual user behavior. Therefore, the evidential value of the studies must be questioned. We address this problem by developing an approach (query sampler) to sample queries from commercial search engines, using keyword research tools designed to support search engine marketing. This allows us to generate large numbers of queries related to a given topic and derive information on how often each keyword is searched for, that is, the query volume. We empirically test our approach with queries from two published studies, and the results show that the number of queries and total search volume could be considerably expanded. Our approach has a wide range of applications for studies that seek to draw conclusions about social phenomena using search engine queries. The approach can be applied flexibly to different topics and is relatively straightforward to implement, as we provide the code for querying Google Ads API. Limitations are that the approach needs to be tested with a broader range of topics and thoroughly checked for problems with topic drift and the role of close variants provided by keyword research tools.

Neuroscientists can leverage technological advances to image neural tissue across a range of different scales, potentially forming the basis for the next generation of brain atlases and circuit reconstructions at submicron resolution, using Electron Microscopy and X-ray Microtomography modalities. However, there is variability in data collection, annotation, and storage approaches, which limits effective comparative and secondary analysis. There has been great progress in standardizing interfaces for large-scale spatial image data, but more work is needed to standardize annotations, especially metadata associated with neuroanatomical entities. Standardization will enable validation, sharing, and replication, greatly amplifying investment throughout the connectomics community. We share key design considerations and a usecase developed for metadata for a recent large-scale dataset.

A cluster of pneumonia cases of unknown aetiology was reported from Wuhan, Hubei province of China on 31st December, 2019. The World Health Organisation (WHO) declared the outbreak a Public Health Emergency of International Concern (PHEIC) on 30th January, 2020. Thereafter, it has spread through China and reached the level of a pandemic expanding to 210 countries with 77.9M confirmed cases and 1.71M deaths as per Corona virus Disease (COVID-19) situation report issued by WHO based on data received upto 23rd December, 2020. A number of questions remain unanswered regarding pathogen-associated variables for amplification dynamics, host environment and agent interaction. This short communication makes an effort to compile the information gathered from published articles of renowned journals and newsletters to explore the epidemiological characteristics of COVID-19. Hereby in this article, authors have tried to assemble the epidemiological lacunae created by the novel characteristics of the SARS-CoV-2 (Severe Acute Respiratory Syndrome-Corona Virus-2) which presently pose a rather puzzling transmission dynamics of COVID-19 that still remain unanswered.

This work was supported in part by the National Natural Science Fund of China under Grant 61233011, Grant 61374006, Grant 61473086, Grant 61463008, Grant 61703100, Grant 61773118, and Grant 61773117, in part by the Major Program of National Natural Science Foundation of China under Grant 11190015, in part by the Natural Science Foundation of Jiangsu under Grant BK20131300 and Grant BK20170692, in part by the Innovation Fund of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, under Grant JYB201601, in part by the Innovation Fund of Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, under Grant MCCSE2017B01, and in part by the Fundamental Research Funds for the Central Universities under Grant 2242016k30009.

A framework for private and secure communication and interaction between agents interacting in transportation services is developed. An agent, i.e. a user, can ask questions or submit queries regarding whether the other agents, i.e. drivers, use the desired road at specific times of the day in an encrypted fashion. The authors developed the framework using semi-homomorphic encryption (namely, the Paillier's encryption method) to enable the algebraic manipulation of plain data without the need for decryption using appropriate computations over the encrypted data. Strong privacy and security guarantees are proved for the agents. Subsequently, the semi-homomorphic encryption method is utilised to develop privacy-aware ride-sharing and routing algorithms without the need for disclosing the origin and destination of the user.

Slow uptake of biosimilars in some regions is often attributed to a lack of knowledge combined with concerns about safety and efficacy. To alleviate physician and patient apprehensions, regulatory reviews from four major regulatory authorities (RAs) (European Medicines Agency, US Food and Drug Administration, Health Canada, and Japan Pharmaceuticals and Medical Devices Authority) across a portfolio of eight biosimilars were analyzed to provide insight into RA review focus and approach. RA queries were evaluated in an unbiased and systematic manner by major classification (Chemistry, Manufacturing and Controls [CMC], nonclinical, clinical or regulatory) and then via detailed sub-classification. There was a consistent, predominant focus on CMC from all RAs. The review focus based on sub-classification of clinical and regulatory queries was influenced by molecular complexity, with significant differences between categories (monoclonal antibody or protein) in the distribution of query topics; specifically, bioanalytical (p = 0.023), comparative safety and efficacy (p = 0.023), and statutory (including the justification of extrapolation) (p = 0.00033). Each biosimilar had a distinct distribution of clinical query topics, tailored to product-specific data. This analysis elucidated areas of heightened RA interest, and validated their application of regulatory science in the evaluation of biosimilar safety and efficacy.

Background: The complexity of drug therapies has increased the need to evaluate the drug information scientifically. In this regard, the aim of drug information centers (DICs) is to promote rational use of drugs in a health-care setting. DI pharmacists play a vital role in providing the necessary and reliable information on drugs to promote the concept of rational drug use, eventually leading to a better patient outcome. The objective of the present study was to assess the drug-related queries received by the DIC at the King Saud Medical City (KSMC) from health-care professionals working in a large tertiary care setting. Methods: A retrospective analysis was conducted from February 2016 to January 2017. Data were collected using the DI request form, available in both printed and electronic formats for use by the health-care professionals. Descriptive statistics were used to calculate frequencies and percentages. Data analysis was performed using the Statistical Package of the Social Sciences software, version 16.0. Results: The current study received a total of 139 queries that were answered by the DIC pharmacists over a period of 1 year. The majority of queries were asked by pharmacists (61.2%), followed by physicians (23.7%) and nurses (10.10%). About half of the queries were related to the dosage and administration of the drugs. Lexicomp® acted as the common resource of information. Conclusion: DIC has been instrumental in the dissemination of drug-related information to health-care professionals since its inception in February 2016, resulting in the provision of quality health care to the patients. However, based on yearly queries, there still exists a need to increase the awareness of health-care professionals about the DIC at KSMC, which will urge them to take drug consultation from DIC pharmacists and promote patient safety.

Search Engine retrieves significant and essential information from the web based on query terms given by the user. Due to the lack of background knowledge about the information required, shorter length queries posed by the user, the ambiguity of query keywords and dynamic growth of the web, irrelevant and redundant results are also retrieved by the search engine. Query recommendations is an important technique which analyze the real search intent of the user and suggests the alternative queries to be used by the user in future to satisfies their information need. The proposed method recommends and ranks the alternative queries and evaluates the ranking order of the recommendations with the help of the ranking measures Normalized Discounted Cumulative Gain (NDCG) and Coefficient of Variance (CV). These measures identify the relationship between the ranking techniques. The proposed strategies are experimentally evaluated using a real time search engine query log.

The article presents a discussion of the optimisation methods involving the modification of query syntax on the example of the use of indexes that served for the application of the methods in practice, and the presentation and analysis of the test results and their comparison. All the queries were made in a Microsoft SQL Server Management Studio 2014 environment, using the AdventureWorksDW2012 test database provided by Microsoft. The object of the research were SELECT queries, which consequently returned the desired set of output data.

In this article an approach to get statistical data about ultrasound examinations, carried out in the framework of SonaRes, the decision support system for ultrasound diagnostics, is described. A list and description of respective queries for data base of patients' examinations sessions is provided to get the information interesting for ultrasonographers and the system developers.

Objective: To evaluate the various drug information queriesreceived, and to access the drug information services providedby the pharmacy practice department.Method: Drug information queries received during wardrounds, direct communication, telephone or internet etc. weredocumented in the drug information request anddocumentation forms prepared by the department over theperiod of January 2010 to June 2010. Various parameters likestatus of enquirer, their specialty, mode of receipt of query,purpose of query, type of query etc. were consider forevaluation.Results: Out of 208 queries received, major 56 (26.9%) frommale medical ward. Maximum [82 (39.4 %)] queries were fromthe physicians. 73 (35.0 %) of the queries were about therecent advances and the updating of the information, It wasfound that mostly the mode of request was during wardrounds 85 (40.9%). Most of the queries [126 (60.6%)] wereanswered by written or printout format. Majority of thequeries [195 (93.8 %)] were answered directly to theenquirers through direct access. Most of the queries wereanswered through books in the department [86 (41.3 %)].Conclusion: Results of the external auditing revealed thatrequestors were generally satisfied with the service provided.The drug information services provided by clinical pharmacistsat the hospital were found to be useful and beneficial to thehealthcare professionals and patients.

This paper examines the ways of different types inquiries to Wolfram|Alpha, in particular, the possibility of natural language queries. The characteristic of mobile access to Wolfram|Alpha are highlighted. The data representation format was considered to visual representations, images, HTML, Mathematica Cell, text view, plain text, MathML, Mathematica input, Mathematica output, audio presentation, special types of Wolfram|Alpha output. The paper aim is the analysis and synthesis of capabilities for requests to Wolfram|Alpha in many ways and opportunities to provide characteristics of mobile access to Wolfram|Alpha. The subject of the study is Wolfram|Alpha as cloud-based service of mathematics learning. In preparing the paper material used case studies and experimental research presentation capabilities of different types of requests to Wolfram|Alpha. Conclusion: Wolfram|Alpha work is based on natural language processing (currently only English), a large library of algorithms and NKS-approach to answering queries. Wolfram|Alpha does not issue a list of links based on query results, and calculates the answer based on their own knowledge base. Service is able to convert data between different measurement units, counting systems, etc.

To determine if expanded queries can be used to identify specific reportable diseases/conditions not detected by using automated syndrome categories, we developed new categories to use with the Electronic Surveillance System for the Early Notification of Community Based Epidemics. Results suggest innovative queries can enhance clinicians’ compliance with reportable disease requirements.

Abstract The data warehouse is supposed to provide storage, functionality and responsiveness to queries beyond the capabilities of today’s transaction databases. Also Data warehouse is built to improve the data access performance of databases. Resumen Los almacenes de datos se supone que proporcionan almacenamiento, funcionalidad y capacidad de repuesta a las consultas y análisis más eficiente que las bases de datos transaccionales. También el almacén de datos se construiye para mejorar el rendimiento de acceso a los datos.

Nel 1942 l’Italia partecipò alla spedizione sul fronte orientale inviando dapprima il CSIR-Corpo di Spedizione Italiano in Russia (luglio 1941 - giugno 1942) e successivamente l’ARMIR-Armata Italiana in Russia (luglio 1942 - maggio 1943). Il Corpo d’Armata Alpino, costituito dalle Divisioni Tridentina (II), Julia (III) e Cuneense (IV) e da altre unità di supporto venne inviato in Russia nel mese di luglio 1942 alle dipendenze dell’8ª Armata, alla quale afferiva anche il battaglione alpini sciatori Monte Cervino. Lo sfondamento del fronte e il conseguente tentativo di accerchiamento da parte dell’esercito russo a metà dicembre del 1942 determinò l’inizio del ripiegamento delle unità del Corpo d’Armata Alpino verso occidente. Ebbe così inizio quella che sarebbe stata ricordata come la Ritirata di Russia, una vera e propria avanzata all’indietro verso occidente della durata di oltre due mesi durante i quali vennero sostenuti numerosi combattimenti e vennero percorsi, in condizioni climatiche estreme con punte minime di temperatura prossime ai -45 °C, oltre 300 km.

Nel 1942 l’Italia partecipò alla spedizione sul fronte orientale inviando dapprima il CSIR-Corpo di Spedizione Italiano in Russia (luglio 1941 - giugno 1942) e successivamente l’ARMIR-Armata Italiana in Russia (luglio 1942 - maggio 1943). Il Corpo d’Armata Alpino, costituito dalle Divisioni Tridentina (II), Julia (III) e Cuneense (IV) e da altre unità di supporto venne inviato in Russia nel mese di luglio 1942 alle dipendenze dell’8ª Armata, alla quale afferiva anche il battaglione alpini sciatori Monte Cervino. Lo sfondamento del fronte e il conseguente tentativo di accerchiamento da parte dell’esercito russo a metà dicembre del 1942 determinò l’inizio del ripiegamento delle unità del Corpo d’Armata Alpino verso occidente. Ebbe così inizio quella che sarebbe stata ricordata come la Ritirata di Russia, una vera e propria avanzata all’indietro verso occidente della durata di oltre due mesi durante i quali vennero sostenuti numerosi combattimenti e vennero percorsi, in condizioni climatiche estreme con punte minime di temperatura prossime ai -45 °C, oltre 300 km.

This paper reports selected findings from an ongoing series of studies analyzing large-scale data sets containing queries posed by Excite users, a major Internet search service. The findings presented report on: (1) queries length and frequency, (2) Boolean queries, (3) query reformulation, (4) phrase searching, (5) search term distribution, (6) relevance feedback, (7) viewing pages of results, (8) successive searching, (9) sexually-related searching, (10) image queries and (11) multi-lingual aspects. Further research is discussed.