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PloS One 2023Product-harm crises have detrimental effects on firm's sales, reputation, and financial value, requiring crisis managers to promptly adopt appropriate response...
Product-harm crises have detrimental effects on firm's sales, reputation, and financial value, requiring crisis managers to promptly adopt appropriate response strategies to mitigate these impacts. Situational Crisis Communication Theory (SCCT) guides managers to align responsibility attribution with response strategies. Using Chinese listed firms' product-harm crises sample from 2015 to 2021, this study analyzes the stock market's reaction to different response strategies. The event study method reveals that a passive strategy is more effective during the disclosure stage, and accept+no recall and deny+recall are conforming strategies during the initial response stage. Additionally, firms with a crisis history should assume greater responsibility when developing response strategies for product-harm crises, as crisis history amplifies negative effects. The results provide recommendations to help managers formulate appropriate strategies.
Topics: Commerce; Disclosure; Social Perception; Product Recalls and Withdrawals; Consumer Product Safety; Private Sector; Public Opinion; Truth Disclosure; China
PubMed: 37616251
DOI: 10.1371/journal.pone.0290548 -
Frontiers in Nutrition 2023Dietary assessment is important for understanding nutritional status. Traditional methods of monitoring food intake through self-report such as diet diaries, 24-hour...
INTRODUCTION
Dietary assessment is important for understanding nutritional status. Traditional methods of monitoring food intake through self-report such as diet diaries, 24-hour dietary recall, and food frequency questionnaires may be subject to errors and can be time-consuming for the user.
METHODS
This paper presents a semi-automatic dietary assessment tool we developed - a desktop application called Image to Nutrients (I2N) - to process sensor-detected eating events and images captured during these eating events by a wearable sensor. I2N has the capacity to offer multiple food and nutrient databases (e.g., USDA-SR, FNDDS, USDA Global Branded Food Products Database) for annotating eating episodes and food items. I2N estimates energy intake, nutritional content, and the amount consumed. The components of I2N are three-fold: 1) sensor-guided image review, 2) annotation of food images for nutritional analysis, and 3) access to multiple food databases. Two studies were used to evaluate the feasibility and usefulness of I2N: 1) a US-based study with 30 participants and a total of 60 days of data and 2) a Ghana-based study with 41 participants and a total of 41 days of data).
RESULTS
In both studies, a total of 314 eating episodes were annotated using at least three food databases. Using I2N's sensor-guided image review, the number of images that needed to be reviewed was reduced by 93% and 85% for the two studies, respectively, compared to reviewing all the images.
DISCUSSION
I2N is a unique tool that allows for simultaneous viewing of food images, sensor-guided image review, and access to multiple databases in one tool, making nutritional analysis of food images efficient. The tool is flexible, allowing for nutritional analysis of images if sensor signals aren't available.
PubMed: 37575335
DOI: 10.3389/fnut.2023.1191962 -
Sensors (Basel, Switzerland) Jul 2023Moving target detection (MTD) is a crucial task in computer vision applications. In this paper, we investigate the problem of detecting moving targets in infrared (IR)...
Moving target detection (MTD) is a crucial task in computer vision applications. In this paper, we investigate the problem of detecting moving targets in infrared (IR) surveillance video sequences captured using a steady camera in a maritime setting. For this purpose, we employ robust principal component analysis (RPCA), which is an improvement of principal component analysis (PCA) that separates an input matrix into the following two matrices: a low-rank matrix that is representative, in our case study, of the slowly changing background, and a sparse matrix that is representative of the foreground. RPCA is usually implemented in a non-causal batch form. To pursue a real-time application, we tested an online implementation, which, unfortunately, was affected by the presence of the target in the scene during the initialization phase. Therefore, we improved the robustness by implementing a saliency-based strategy. The advantages offered by the resulting technique, which we called "saliency-aided online moving window RPCA" (S-OMW-RPCA) are the following: RPCA is implemented online; along with the temporal features exploited by RPCA, the spatial features are also taken into consideration by using a saliency filter; the results are robust against the condition of the scene during the initialization. Finally, we compare the performance of the proposed technique in terms of precision, recall, and execution time with that of an online RPCA, thus, showing the effectiveness of the saliency-based approach.
PubMed: 37514626
DOI: 10.3390/s23146334 -
BMC Public Health Jul 2023This report describes two L. monocytogenes outbreak investigations that occurred in March and September of 2018 and that linked illness to a food premises located in an...
BACKGROUND
This report describes two L. monocytogenes outbreak investigations that occurred in March and September of 2018 and that linked illness to a food premises located in an Ontario cancer centre. The cancer centre serves patients from across the province.
METHODS
In Ontario, local public health agencies follow up with all reported laboratory-confirmed cases of listeriosis to identify possible sources of disease acquisition and to carry out investigations, including at suspected food premises. The Canadian Food Inspection Agency (CFIA) is notified of any Listeria-positive food product collected in relation to a case. The CFIA traces Listeria-positive product through the food distribution system to identify the contamination source and ensure the implicated manufacturing facility implements corrective measures.
RESULTS
Outbreaks one and two each involved three outbreak-confirmed listeriosis cases. All six cases were considered genetically related by whole genome sequencing (WGS). In both outbreaks, outbreak-confirmed cases reported consuming meals at a food premises located in a cancer centre (food premises A) before illness onset. Various open deli meat samples and, in outbreak two, environmental swabs (primarily from the meat slicer) collected from food premises A were genetically related to the outbreak-confirmed cases. Food premises A closed as a result of the investigations.
CONCLUSIONS
When procuring on-site food premises, healthcare facilities and institutions serving individuals with immuno-compromising conditions should consider the potential health risk of foods available to their patient population.
Topics: Humans; Listeria monocytogenes; Foodborne Diseases; Food Microbiology; Neoplasms; Listeriosis; Disease Outbreaks; Ontario
PubMed: 37507665
DOI: 10.1186/s12889-023-16371-7 -
European Journal of Immunology Nov 2023To obtain a better understanding of the biology behind life-threatening fungal infections caused by Candida albicans, we recently conducted an in silico screening for...
To obtain a better understanding of the biology behind life-threatening fungal infections caused by Candida albicans, we recently conducted an in silico screening for fungal and host protein interaction partners. We report here that the extracellular domain of human CD4 binds to the moonlighting protein enolase 1 (Eno1) of C. albicans as predicted bioinformatically. By using different anti-CD4 monoclonal antibodies, we determined that C. albicans Eno1 (CaEno1) primarily binds to the extracellular domain 3 of CD4. Functionally, we observed that CaEno1 binding to CD4 activated lymphocyte-specific protein tyrosine kinase (LCK), which was also the case for anti-CD4 monoclonal antibodies tested in parallel. CaEno1 binding to naïve human CD4 T cells skewed cytokine secretion toward a Th2 profile indicative of poor fungal control. Moreover, CaEno1 inhibited human memory CD4 T-cell recall responses. Therapeutically, CD4 T cells transduced with a p41/Crf1-specific T-cell receptor developed for adoptive T-cell therapy were not inhibited by CaEno1 in vitro. Together, the interaction of human CD4 T cells with CaEno1 modulated host CD4 T-cell responses in favor of the fungus. Thus, CaEno1 mediates not only immune evasion through its interference with complement regulators but also through the direct modulation of CD4 T-cell responses.
Topics: Humans; Candida albicans; T-Lymphocytes; CD4-Positive T-Lymphocytes; Phosphopyruvate Hydratase; Antibodies, Monoclonal
PubMed: 37503840
DOI: 10.1002/eji.202250284 -
HIV/AIDS (Auckland, N.Z.) 2023Poor adherence to antiretroviral therapy (ART) causes drug resistance, treatment failure and death. Studies conducted among children below 15 years were limited in...
BACKGROUND
Poor adherence to antiretroviral therapy (ART) causes drug resistance, treatment failure and death. Studies conducted among children below 15 years were limited in Ethiopia in general and in the study area. Therefore, this study aimed to assess the status of children's adherence to ART and associated factors in the study area.
METHODS
We conducted a facility-based cross-sectional study from April 1 to May 10, 2020 by including 282 children <15 years. All children who received ART for at least one month and attend ART clinic during data collection period were consecutively recruited. Face-to-face interview was conducted using a standardized questionnaire. Both bivariate and multivariate logistic regression were performed. Adherence and exposure variables (i.e., sociodemographic and reason for missing) were measured by the caregivers/children's report of a one-month recall of missed doses.
RESULTS
Among 282 caregivers included with their children, 226 (80.2%) were females (mean age = 38.6 and SD = 12.35) and half (50%) of children were females. Two hundred forty six (87.2%) children were aged between 5-14 years (mean age = 8.5 and SD = 2.64), and 87.2% were adhered (≥95%) to ART in the month prior to the interview. Children whose caregivers were residing in urban were 3.3 (95% CI: 1.17, 9.63) times more adherent to ART than their counterparties. Children whose caregivers were biological parents were 2.37 (95% CI: 1.59, 3.3) times more adherent than children with non-biological parents. Children with knowledgeable caregivers about ART were 4.5 (95% CI: 1.79, 9.8) times more adherent to ART.
CONCLUSION AND RECOMMENDATION
Children's adherence to ART in our study area was sub optimal. Biological caregivers, residing in urban and being knowledgeable about ART facilitate adherence to ART. Adherence counseling targeting non-biological parents and for those who come from rural areas were recommended.
PubMed: 37497118
DOI: 10.2147/HIV.S407105 -
North American Spine Society Journal Sep 2023Bone grafting is commonly used in spine surgery to supplement or replace the need for autografts. This is harvested, prepared, and utilized predominantly for...
BACKGROUND
Bone grafting is commonly used in spine surgery to supplement or replace the need for autografts. This is harvested, prepared, and utilized predominantly for osteoconductive properties. Anterior cervical discectomy and fusion, a procedure to decompress and fuse the spine which treats herniated discs and compressed nerves, commonly uses Polyetheretherketone (PEEK) interbody filled with allograft bone matrices to reconstruct the disc space after a discectomy is performed.
CASE DESCRIPTION
The presented case is one of a 57-year-old male patient who underwent an uneventful cervical 5-6 and cervical 6-7 discectomy and fusion using a PEEK interbody and bone allograft. The allograft had been prepared using cancellous bone particles with preserved living cells and demineralized cortical bone fibers to facilitate bone repair and healing, which is a common technique. The allograft was aseptically processed to preserve native factors that can support bone repair and prevent contamination and cross-contamination of the product. Additionally, the product was sterilized using gamma irradiation to further prevent contamination.
OUTCOME
Unfortunately, with the presented case, the State's Department of Health and The Center for Diseases Control and Prevention identified that the graft was from a source contaminated with tuberculosis. The patient being reported went on to develop disseminated tuberculosis, including lung abscesses and osteomyelitis.
CONCLUSIONS
The current case highlights that there was contamination of the donor bone sources. Tuberculosis was not screened in the tissue donor even though he had risk factors, symptoms, and signs consistent with tuberculosis. Although there are methods to screen potential organ donors for tuberculosis, there is currently no approved standard laboratory tuberculosis screening tool for bone grafts. Thus, this emphasizes the importance of proper screening among individual institutions for even the most uncommon diseases in all donated bone grafts.
PubMed: 37483264
DOI: 10.1016/j.xnsj.2023.100241 -
Research (Washington, D.C.) 2023Three-dimensional (3D) printing is emerging as a transformative technology for biomedical engineering. The 3D printed product can be patient-specific by allowing...
Three-dimensional (3D) printing is emerging as a transformative technology for biomedical engineering. The 3D printed product can be patient-specific by allowing customizability and direct control of the architecture. The trial-and-error approach currently used for developing the composition of printable inks is time- and resource-consuming due to the increasing number of variables requiring expert knowledge. Artificial intelligence has the potential to reshape the ink development process by forming a predictive model for printability from experimental data. In this paper, we constructed machine learning (ML) algorithms including decision tree, random forest (RF), and deep learning (DL) to predict the printability of biomaterials. A total of 210 formulations including 16 different bioactive and smart materials and 4 solvents were 3D printed, and their printability was assessed. All ML methods were able to learn and predict the printability of a variety of inks based on their biomaterial formulations. In particular, the RF algorithm has achieved the highest accuracy (88.1%), precision (90.6%), and F1 score (87.0%), indicating the best overall performance out of the 3 algorithms, while DL has the highest recall (87.3%). Furthermore, the ML algorithms have predicted the printability window of biomaterials to guide the ink development. The printability map generated with DL has finer granularity than other algorithms. ML has proven to be an effective and novel strategy for developing biomaterial formulations with desired 3D printability for biomedical engineering applications.
PubMed: 37469394
DOI: 10.34133/research.0197 -
BMC Medical Informatics and Decision... Jul 2023Real-world evidence (RWE)-based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease...
BACKGROUND
Real-world evidence (RWE)-based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease registries, and personal devices and health applications-is increasingly used to support healthcare decision making. There is variability in the collection of EHR data, which includes "structured data" in predefined fields (e.g., problem list, open claims, medication list, etc.) and "unstructured data" as free text or narrative. Healthcare providers are likely to provide more complete information as free text, but extracting meaning from these fields requires newer technologies and a rigorous methodology to generate higher-quality evidence. Herein, an approach to identify concepts associated with the presence and progression of migraine was developed and validated using the complete patient record in EHR data, including both the structured and unstructured portions.
METHODS
"Traditional RWE" approaches (i.e., capture from structured EHR fields and extraction using structured queries) and "Advanced RWE" approaches (i.e., capture from unstructured EHR data and processing by artificial intelligence [AI] technology, including natural language processing and AI-based inference) were evaluated against a manual chart abstraction reference standard for data collected from a tertiary care setting. The primary endpoint was recall; differences were compared using chi square.
RESULTS
Compared with manual chart abstraction, recall for migraine and headache were 66.6% and 29.6%, respectively, for Traditional RWE, and 96.8% and 92.9% for Advanced RWE; differences were statistically significant (absolute differences, 30.2% and 63.3%; P < 0.001). Recall of 6 migraine-associated symptoms favored Advanced RWE over Traditional RWE to a greater extent (absolute differences, 71.5-88.8%; P < 0.001). The difference between traditional and advanced techniques for recall of migraine medications was less pronounced, approximately 80% for Traditional RWE and ≥ 98% for Advanced RWE (P < 0.001).
CONCLUSION
Unstructured EHR data, processed using AI technologies, provides a more credible approach to enable RWE in migraine than using structured EHR and claims data alone. An algorithm was developed that could be used to further study and validate the use of RWE to support diagnosis and management of patients with migraine.
Topics: Humans; Electronic Health Records; Artificial Intelligence; Algorithms; Natural Language Processing; Migraine Disorders
PubMed: 37452338
DOI: 10.1186/s12911-023-02190-8 -
Scientific Reports Jul 2023E-commerce is a field that changed how consumers purchase and interact with products. Although, inherent limitations such as the difficulty of testing the products...
E-commerce is a field that changed how consumers purchase and interact with products. Although, inherent limitations such as the difficulty of testing the products "first-hand" before a purchase can compromise consumers' trust in online purchases. Virtual Reality (VR) has been investigated as a tool to solve limitations in several fields and how we can harness its potential to improve the overall user experience. This study analysed how immersive VR (IVR) could solve these limitations by allowing consumers to test products beforehand. We have studied how the Novelty Factor (evaluated by the users' past VR experience) and Immersive Tendencies correlate with the users' Purchase Intention and Memory (how well they remember the product's characteristics). We have analysed a sample of 38 participants (21 males) from 18 to 28 years old. Participants experienced a refrigerator with an interactive touchscreen in an IVR setup and were guided through its functionalities. Results indicated that memory of the product's characteristics was positively correlated with how recently they experienced VR. No correlations were found in the female sample. A negative correlation between Purchase Intention and Memory of the product's characteristics was found in the male sample. We concluded that IVR applications could become helpful for both consumers and online shops in an e-commerce context regardless of the Novelty Factor and Immersive Tendencies of consumers. However, differences between genders should be further investigated.
Topics: Humans; Male; Female; Adolescent; Young Adult; Adult; Intention; Virtual Reality; Commerce; Consumer Behavior; Mental Recall
PubMed: 37452064
DOI: 10.1038/s41598-023-36557-8