scholarly journals A Study of a Gain Based Approach for Query Aspects in Recall Oriented Tasks

2021 ◽  
Vol 11 (19) ◽  
pp. 9075
Author(s):  
Giorgio Maria Di Nunzio ◽  
Guglielmo Faggioli

Evidence-based healthcare integrates the best research evidence with clinical expertise in order to make decisions based on the best practices available. In this context, the task of collecting all the relevant information, a recall oriented task, in order to take the right decision within a reasonable time frame has become an important issue. In this paper, we investigate the problem of building effective Consumer Health Search (CHS) systems that use query variations to achieve high recall and fulfill the information needs of health consumers. In particular, we study an intent-aware gain metric used to estimate the amount of missing information and make a prediction about the achievable recall for each query reformulation during a search session. We evaluate and propose alternative formulations of this metric using standard test collections of the CLEF 2018 eHealth Evaluation Lab CHS.

2021 ◽  
Vol 60 (90) ◽  
pp. 97-118
Author(s):  
Aleksandar Mojašević ◽  
Aleksandar Jovanović

The Act on the Protection of the Right to a Trial within a Reasonable Time, which took effect in 2016, has created the conditions in our legal system for the protection of the right to a trial within a reasonable time, as one of the fundamental rights guaranteed by the Constitution of the Republic of Serbia and related international documents. Although the legislator does not explicitly provide for the application of this Act in the context of bankruptcy proceedings, it has been used in judicial practice as a mean for the bankruptcy creditors to obtain just satisfaction in cases involving lengthy bankruptcy proceedings and a violation of the right to a fair trial within a reasonable time. The subject matter of analysis in this paper is the right to a trial within a reasonable time in bankruptcy cases. For that purpose, the authors examine the case law of the Commercial Court in Niš in the period from the beginning of 2016 to the end of 2019, particularly focusing on the bankruptcy cases in which complaints (objections) were filed for the protection of the right to a fair trial within a reasonable time. The aim of the research is to examine whether the objection, as an initial act, is a suitable instrument for increasing the efficiency of the bankruptcy proceeding, or whether it only serves to satisfy the interests of creditors. The authors have also examined whether this remedy affects the overall costs and duration of the bankruptcy proceeding. The main finding is that there is an increasing number of objections in the Commercial Court in Niš, which still does not affect the length and costs of bankruptcy. This trend is not only the result of inactivity of the court and the complexity of certain cases but also of numerous external factors, the most prominent of which is the work of some state bodies.


Author(s):  
JINHONG K. GUO ◽  
STEPHEN A. KNOTT ◽  
RAY YUAN SHEU ◽  
MARTIN O. HOFMANN

Delivering the right amount of information to the right person is vital on the tactical battlefield. With the increasing use of mobile devices by the military, delivering relevant information instantaneously to the warfighter becomes possible. However, large quantities of data are being generated constantly while the human processing power and communication channels are limited. Therefore, data must be processed so it can be evaluated against operational needs. This data is collected in multiple modalities include images, videos and field reports with multi-sensor data. Providing automated processing of unstructured information promises to effectively connect information processing with operational decision making, dramatically reducing the time needed to identify relevant information for mission planning and execution. We describe a multi-view learning technique that augments the feature set used by a classifier in one modality with entity relationships discovered in other modalities. To accommodate the limited computation power of field devices, mostly handhelds, the multi-view learning algorithm is low complexity. It applies to multiple modalities, leveraging many-to-many correspondences among different modalities. Experiments on image and text are presented in the paper which show more than 20% improvement over categorizing text or images independently. The categorized information is matched to the mission and task needs. Finally, relevant information needs to be transmitted via limited bandwidth negotiated from limited resources.


2020 ◽  
Author(s):  
Isra Revenia

This article is made to know the destinantion and the administrasi functions of the school in order to assist the leader of an organazation in making decisions and doing the right thing, recording of such statements in addition to the information needs also pertains to the function of accountabilitty and control functions. Administrative administration is the activity of recording for everything that happens in the organization to be used as information for leaders. While the definition of administration is all processing activities that start from collecting (receiving), recording, processing, duplicating, minimizing and storing all the information of correspondence needed by the organization. Administration is as an activity to determine everything that happens in the organization, to be used as material for information by the leadership, which includes all activities ranging from manufacturing, managing, structuring to all the preparation of information needed by the organization.


Author(s):  
Richard McCleary ◽  
David McDowall ◽  
Bradley J. Bartos

Chapter 8 focuses on threats to construct validity arising from the left-hand side time series and the right-hand side intervention model. Construct validity is limited to questions of whether an observed effect can be generalized to alternative cause and effect measures. The “talking out” self-injurious behavior time series, shown in Chapter 5, are examples of primary data. Researchers often have no choice but to use secondary data that were collected by third parties for purposes unrelated to any hypothesis test. Even in those less-than-ideal instances, however, an optimal time series can be constructed by limiting the time frame and otherwise paying attention to regime changes. Threats to construct validity that arise from the right-hand side intervention model, such as fuzzy or unclear onset and responses, are controlled by paying close attention to the underlying theory. Even a minimal theory should specify the onset and duration of an impact.


Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 208
Author(s):  
Daniel Queirós da Silva ◽  
André Silva Aguiar ◽  
Filipe Neves dos Santos ◽  
Armando Jorge Sousa ◽  
Danilo Rabino ◽  
...  

Smart and precision agriculture concepts require that the farmer measures all relevant variables in a continuous way and processes this information in order to build better prescription maps and to predict crop yield. These maps feed machinery with variable rate technology to apply the correct amount of products in the right time and place, to improve farm profitability. One of the most relevant information to estimate the farm yield is the Leaf Area Index. Traditionally, this index can be obtained from manual measurements or from aerial imagery: the former is time consuming and the latter requires the use of drones or aerial services. This work presents an optical sensing-based hardware module that can be attached to existing autonomous or guided terrestrial vehicles. During the normal operation, the module collects periodic geo-referenced monocular images and laser data. With that data a suggested processing pipeline, based on open-source software and composed by Structure from Motion, Multi-View Stereo and point cloud registration stages, can extract Leaf Area Index and other crop-related features. Additionally, in this work, a benchmark of software tools is made. The hardware module and pipeline were validated considering real data acquired in two vineyards—Portugal and Italy. A dataset with sensory data collected by the module was made publicly available. Results demonstrated that: the system provides reliable and precise data on the surrounding environment and the pipeline is capable of computing volume and occupancy area from the acquired data.


Author(s):  
Zoe M. Becerra ◽  
Sweta Parmar ◽  
Keenan May ◽  
Rachel E. Stuck

With the increase of online shopping, animal shelters can use websites to allow potential adopters to view adoptable animals and increase the number of adoptions. However, little research has evaluated the information needs of this user group. This study conducted a user needs analysis to determine the types of information potential adopters want when searching for a new pet, specifically a cat or dog. Twenty-six participants ranked different behavioral and physical characteristics based on the level of importance and identified their top five overall characteristics. In general, cat adopters ranked the cat’s personality and behavior to be very important and dog adopters found physical characteristics highly important. This study shows the importance of understanding potential adopters’ needs to provide relevant and valued information on online pet adoption profiles. The recommendations and insights can be used to develop pet profiles that meet adopters’ needs and help adopters find the right pet.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Robert Markewitz ◽  
Antje Torge ◽  
Klaus-Peter Wandinger ◽  
Daniela Pauli ◽  
Andre Franke ◽  
...  

AbstractLaboratory testing for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) consists of two pillars: the detection of viral RNA via rt-PCR as the diagnostic gold standard in acute cases, and the detection of antibodies against SARS-CoV-2. However, concerning the latter, questions remain about their diagnostic and prognostic value and it is not clear whether all patients develop detectable antibodies. We examined sera from 347 Spanish COVID-19 patients, collected during the peak of the epidemic outbreak in Spain, for the presence of IgA and IgG antibodies against SARS-CoV-2 and evaluated possible associations with age, sex and disease severity (as measured by duration of hospitalization, kind of respiratory support, treatment in ICU and death). The presence and to some degree the levels of anti-SARS-CoV-2 antibodies depended mainly on the amount of time between onset of symptoms and the collection of serum. A subgroup of patients did not develop antibodies at the time of sample collection. Compared to the patients that did, no differences were found. The presence and level of antibodies was not associated with age, sex, duration of hospitalization, treatment in the ICU or death. The case-fatality rate increased exponentially with older age. Neither the presence, nor the levels of anti-SARS-CoV-2 antibodies served as prognostic markers in our cohort. This is discussed as a possible consequence of the timing of the sample collection. Age is the most important risk factor for an adverse outcome in our cohort. Some patients appear not to develop antibodies within a reasonable time frame. It is unclear, however, why that is, as these patients differ in no respect examined by us from those who developed antibodies.


2013 ◽  
Vol 20 (1) ◽  
pp. 63-78
Author(s):  
Maria Inês de Oliveira Martins

Abstract The need of private insurers for information on the candidate’s health risks is recognized by the law, which places pre-contractual duties of disclosure upon the candidates. When the risks are influenced by health factors, e.g. in the case of life- and health insurances, it implies the provision of health information by the candidates, who thus voluntarily limit their right to privacy. This consent, however, often happens in a context of factual coercion to contract. Next to this, from a legal standpoint, the collection of personal information must respond to the principle of proportionality. Against this background, this article assesses the compatibility of questionnaire techniques that rely on open-ended health related questions with the right to privacy, as protected by Portuguese and international law. It then analyses the extent of pre-contractual duties of disclosure as defined by the Portuguese Insurance Act, which requires the candidate to volunteer all the relevant information independently of being asked for it. In doing so, the article also refers to some other European countries. It concludes that the relevant Portuguese legislation is incompatible both with Portuguese constitutional law and with international law.


Author(s):  
L. J. van ‘t Hof ◽  
L. Pellikaan ◽  
D. Soonawala ◽  
H. Roshani

AbstractIn severe cases of COVID-19, late complications such as coagulopathy and organ injury are increasingly described. In milder cases of the disease, the exact time frame and causal path of late-onset complications have not yet been determined. Although direct and indirect renal injury by SARS-CoV-2 has been confirmed, hemorrhagic renal infection or coagulative problems in the urinary tract have not yet been described. This case report describes a 35-year-old female without relevant medical history who, five days after having recovered from infection with SARS-CoV-2, had an unusual course of acute pyelonephritis of the right kidney and persistent fever under targeted antibiotic treatment. A hemorrhagic ureteral obstruction and severe swollen renal parenchyma preceded the onset of fever and was related to the developing pyelonephritis. Sudden thrombotic venous occlusion in the right eye appeared during admission. Symmetrical paresthesia in the limbs in combination with severe lower back pain and gastro-intestinal complaints also occurred and remained unexplained despite thorough investigation. We present the unusual combination of culture-confirmed bacterial hemorrhagic pyelonephritis with a blood clot in the proximal right ureter, complicated by retinal vein thrombosis, in a patient who had recovered from SARS-CoV-2-infection five days before presentation. The case is suspect of a COVID-19-related etiology.


Libri ◽  
2018 ◽  
Vol 68 (3) ◽  
pp. 205-217
Author(s):  
Kepi Madumo ◽  
Constance Bitso

Abstract In the interest of developing relevant information services for ECD practitioners in Ekurhuleni Metropolitan Municipality (EMM), as ECD is one of the national priorities, a study was conducted to ascertain their information needs and information-seeking behaviour. Using Leckie, Pettigrew and Sylvain’s General Model of the Information Seeking of Professionals (GMISP) as the theoretical framework, and situated within interpretivist paradigm, the study took a qualitative approach to collect data, with the results based on group discussions and an interview with a key informant. The research focused on establishing Grade R practitioners’ information needs, with information sources they often consulted, actions and strategies used when seeking information, as well as challenges they face when seeking information. Grade R practitioners need information to increase their knowledge for optimum performance of their duties. To satisfy the demand for information, it is recommended that the EMM libraries and Gauteng Department of Education school libraries should consider a coordinated and accessible library and information service (LIS) that supports ECD practitioners. The plans and design of LIS in the EMM should accommodate the information needs expressed by the Grade R practitioners.


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