Information retrieval serves as a critical methodology for accurately and efficiently obtaining the required information from massive amounts of data. In this paper, we propose an information retrieval framework (SE-MSLC) that utilizes information th...
In Japan, 700–800 food products are recalled each year. Food product recalls affect consumer health as well as businesses, depending on the content and scale of the recalls. Approximately 10% of food loss from food manufacturers was generated i...
Textile and clothing (T&C) products contribute to a substantial proportion of the non-food product recalls in the European Union (EU) due to various levels of associated risks. Out of the listed 34 categories for product recalls in the EU’s...
Two claims dominate popular discussion of US food safety: (1) Food recalls are rising year over year, and (2) undeclared allergens have become the leading cause. In this study, we aimed to (1) test both claims against the openFDA Food Enforcement bul...
The current research explored the language individuals use to describe their memories of times they experienced intense anger. Word count analysis of these recalled memories was conducted using the Linguistic Inquiry and Word Count-22. Angry memories...
The study of non-phase modulation of different frequencies in the human electroencephalography (EEG) is revealing new mechanisms involved in information processing. In particular, it has been described that the alpha band, through a desynchronization...
Neuroimaging studies using autobiographical recall methods investigated the neural correlates of happy autobiographical memories (AMs). The scope of the present activation likelihood estimation (ALE) meta-analysis was to quantitatively analyze neuroi...
Efficiently and accurately identifying fraudulent credit card transactions has emerged as a significant global concern along with the growth of electronic commerce and the proliferation of Internet of Things (IoT) devices. In this regard, this paper...
This research explores an innovative methodology for understanding the process and practice of UK-based outdoor therapists. Recent studies address the need to expand circles of knowledge, and capture the lived-experience of outdoor practitioners to e...
Most current affect scales and sentiment analysis on written text focus on quantifying valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex negative emotions of similar valence is key to evaluating mental health....
18 August 2021
In this research, neuroscience techniques are applied to the field of marketing in the analysis of advertisements that include the COVID-19 pandemic in their stories. A study of emotion and memory in these audiovisual productions is carried out as tw...
Mental reconstruction (MRC) and Free Recall (FR) have been recognized for enhancing the quality of witness statements. However, the mechanisms underlying this association remain insufficiently understood. This study explores how the time allocated to...
Pattern analysis of children’s diet may provide insights into chronic disease risk in adolescence and adulthood. This study aimed to assess dietary patterns of young Singaporean children using cluster analysis. An existing dataset included 15,820 ite...
25 March 2020
Many mass media campaigns aimed at changing young people’s health behavior air on digital platforms rather than on broadcast media (e.g., television), given the intended audience’s preference for web-based communication. While research su...
The apicomplexan hemoparasite, Theileria parva, causes East Coast fever (ECF), a frequently fatal disease of African cattle. Vaccine development has been impeded by incomplete understanding of protective immunity following natural exposure or the inf...
The scope of wildfires over the previous decade has brought these natural hazards to the forefront of risk management. Wildfires threaten human health, safety, and property, and there is a need for comprehensive and readily usable wildfire simulation...
Food-based recommendations (FBR) developed using linear programming generally use dietary intake and energy and nutrient requirement data. It is still unknown to what extent the availability and selection of these data affect the developed FBR and id...
Background: Lipoprotein(a) (Lp(a)) is a genetically determined lipoprotein that plays an independent role in the development of atherosclerotic cardiovascular disease (ASCVD). Ethnic differences in Lp(a) levels are well-documented, yet regional data...
Gender differences in the burden of cardiovascular disease (CVD) have been observed worldwide. In this study, plasmatic levels of trimethylamine (TMA) and blood oxidative biomarkers have been evaluated in 358 men (89 controls and 269 CVD patients) an...
Numerical reasoning is a challenging question-answering task in artificial intelligence (AI) that requires both reading comprehension and numerical computation capabilities. Although recent approaches have made significant progress in reasoning, two...
Since a high dropout rate for university students is a significant risk to local communities and countries, a dropout prediction model using machine learning is an active research domain to prevent students from dropping out. However, it is challengi...
Background/Objectives: Trigeminal neuralgia (TN) is a relapsing-remitting condition predominantly managed in primary care, where carbamazepine remains the sole recommended first-line therapy. Prior meta-analyses report end-of-treatment pain reduction...
21 May 2018
Urban residents’ need to be in control of their home environment can be constrained by perceived uncontrollability of exposure to road traffic noise. Noise annoyance may indicate a psychological stress reaction due to this uncontrollability per...
Organic products are often portrayed as a healthy alternative—grown in a sustainable way, often locally and subject to external certification scrutiny. However, recent high-profile cases of contaminated organic food have raised questions about...
Background: Preoperative education is important in enhancing patients’ preparation and improving outcomes during recovery after surgery. However, there are limited studies in Saudi Arabia concerning levels of satisfaction and the recall of preo...
Background: The global aging situation has reached a serious stage, and healthy lifestyles, like regular physical activity and eating breakfast, could slow the process. Phenotypic age (PhenoAge) is regarded as a novel measure of aging. Therefore, our...
Despite the wide use of 24-h dietary recalls and differences in food culture between Western and Asian countries, limited studies validating 24-h dietary recalls have been performed in rice-based meals and in Asians. To determine the accuracy of 24-h...
Short food questions (SFQ) allow for rapid reporting of food intake across a variety of settings but are limited by poor validity and reliability. Understanding the recall process used by parents to report children’s food intake can improve que...
As an important part of antenatal care for pregnant women in China, dietary assessment plays a positive role in maternal and fetal health. Shortcomings in the associated methodologies require improvement. Our purpose was to develop a novel WeChat App...
Accurate estimation of network density is central to egocentric social network analysis, yet existing survey-based methods require researchers to balance accuracy against participant burden and systematic recall bias. Traditional approaches, such as...
There are variations in the assessment pathways for women recalled at screening, and the imaging assessment pathway with the best diagnostic outcome is poorly understood. This paper examines the efficacy of five imaging modalities for the assessment...
Health surveys conducted in low- and middle-income countries typically estimate childhood vaccination status based on written vaccination cards, maternal recall (when cards are not available), or a combination of both. This analysis aimed to assess t...
Back ground: Iodine deficiency is one of the important factors in increasing the recall rate in congenital hypothyroidism (CH) screening programs. The present study assessed whether the iodine status of the general population may predict the recall r...
In this study, we identified the different causes of odor problems and their associated discomfort. We also recognized the significance of public health and environmental concerns. To address odor issues, it is vital to conduct precise analysis and c...
2 September 2015
Sharing stories is an important social activity in everyday life. This study used fine-grained content analysis to investigate the accuracy of recall of two central story elements: the gist and detail of socially-relevant stories. Younger (M age = 28...
Introduction: The growing demand for traditional medicines and health supplements (TMHS) in Malaysia has raised concerns regarding microbial contamination in hard-shell capsule products. Despite regulatory oversight, recurring recalls highlight persi...
With a serious food safety situation in China, lots of major food recalls have been initiated. This study examined the key determinants underlying consumers’ protection and behavioral intention in response to major food recalls. An augmented protecti...
The excellent “mirror” effect of medium and high-strength aluminum alloy profiles from the 6-series, achieved through anodizing, is highly valued by customers. Metallographic analysis is a key method for predicting the anodizing effect. H...
The Healthy Beverage Index (HBI) is an emerging approach to assess beverage pattern quality. HBI total scores range from 0 to 100, with higher scores indicating greater adherence to proposed beverage recommendations. However, assessing patterns is re...
Current construction safety practices heavily rely on the use of multiple safety signs to mitigate potential risks. This study investigates the cognitive load imposed on construction workers by various design characteristics of safety signs, includin...
Pine trees are more vulnerable to diseases and pests than other trees, so prevention and management are necessary in advance. In this paper, two models of deep learning were mixed to quickly check whether or not to detect pine pests and to perform a...
According to the behavior of its neuronal connections, it is possible to determine if the brain suffers from abnormalities such as epilepsy. This disease produces seizures and alters the patient’s behavior and lifestyle. Neurologists employ the...
Esophageal carcinoma (EC) is a prominent contributor to cancer-related mortality since it lacks discernible features in its first phases. Multiple studies have shown that narrow-band imaging (NBI) has superior accuracy, sensitivity, and specificity i...
15 December 2018
Rey-Osterrieth Complex Figure (ROCF) is a neuropsychological assessment for the evaluation of visuospatial constructional ability and visual memory. Recent studies emphasize the involvement of executive functions in this test. Purpose. To examinate t...
The national food consumption surveys are crucial for monitoring the nutritional status of population but are also time and resource consuming. The growing use of technology and web-based platforms can help to reduce the logistical burden and cost of...
Objective: Assess the accuracy of the Texas School Physical Activity and Nutrition (SPAN) survey’s diet quality index against the 24 h recall-based Healthy Eating Index (HEI-2020). Methods: Fifty-one rising third and fourth graders (mean age 9....
This preliminary study assessed the effects of noise and stimulus presentation order on recall of spoken words and recorded pupil sizes while normal-hearing listeners were trying to encode a series of words for a subsequent recall task. In three list...
Background: Levels of adherence to recommended protocols in an intervention trial can affect outcomes and confound the results. To broaden the evidence about the selection and utility of adherence measures in varying contexts, we describe the level o...
Thrombus volume in posterior circulation stroke (PCS) has been associated with outcome, through recanalization. Manual thrombus segmentation is impractical for large scale analysis of image characteristics. Hence, in this study we develop the first a...
Counterfeit and unsafe medicines pose significant risks to patient safety and undermine trust in healthcare systems. This paper presents ACTMeds, a blockchain-supported pharmaceutical traceability and recall platform that considers pharmaceutical sup...
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