Study Of Events Research Articles

How social media expedites the crisis spillover effect: A case study of Tesla's recall event

Technologies such as intelligent and fully automatic driving are currently developing rapidly. However, product recalls by electric vehicle manufacturers occur frequently because of immature technology. As a crisis factor, product recalls of the focal company pose a risk of contagion to other players. Through a two-period time series analysis, the current study observes that online public opinion regarding Tesla exerts an indirect spillover over abnormal returns on non-focal companies (i.e., BYD, NIO, LI) from two aspects—social media buzz and public sentiment. Moreover, abnormal returns on Tesla directly spill over into abnormal returns on NIO and LI. The low brand equity proximity plays a role in the direct spillover effect. Besides, the time lag is two days in the direct and indirect spillover process. Under the guidance of Situational Crisis Communication Theory (SCCT), we classify spillover crises as victim clusters of crisis types and put forth implications and suggestions in practice based on our findings.

Development of Mass Spectrometry Imaging on skeletal muscle to characterize the local pro-inflammatory and pro-resolution lipid responses in a vaccination context

Vaccine reactogenicity is well documented at the clinical level but the mechanism involved at the local or systemic level are still poorly understood. Muscular tissue where most vaccines are administered is the first place of interaction between the vaccine formulation and the host's immune cells. So far, this site of vaccine administration is not well documented from a mechanistic standpoint. The study of early molecular events at the injection site is crucial to understand the local response to vaccines. In this paper, we report a standardized workflow, from the injection of vaccine formulations in rabbit muscle, to the analysis by desorption electrospray ionization and histology staining to understand the role of lipids involved in the inflammation and its resolution on striated muscular tissue. The analysis of lipid mediators was optimized at the site of needle insertion to allow the spatial comparison of cellular infiltrates at the injection site. We showed that lipids were distributed across the spatial tissue morphology in a time-dependent manner. The MS imaging applied to vaccinology could pave the way to a better understanding of vaccine reactogenicity and mechanism of action.

Design of New Media Event Warning Method Based on K-means and Seasonal Optimization Algorithm

INTRODUCTION: Timely and effective early warning of new media events not only provides academic value to the study of new media events, but also can play a positive role in promoting the resolution of public opinion. OBJECTIVES: Aiming at the current research on early warning of new media events, there are problems such as the theoretical research is not in-depth and the early warning model is not comprehensive. METHOD: In this paper, K-means and seasonal optimization algorithm are used to construct new media event early warning method. Firstly, by analyzing the construction process of new media event early warning system, extracting text feature vector and carrying out text feature dimensionality reduction; then, combining with the random forest algorithm, the new media event early warning method based on intelligent optimization algorithm optimizing K-means clustering algorithm is proposed; finally, the validity and superiority of the proposed method is verified through the analysis of simulation experiments. RESULTS: The method developed in this paper improves the accuracy, time performance of new media event warning techniques. CONCLUSION: Addresses the lack of comprehensiveness of current approaches to early warning of new media events.

Evaluation of Drought Using Meteorological Drought Indices, a Case Study: Alanya (Türkiye)

Drought is one of the most important challenges that many countries, especially countries in the Middle East region, are struggling with. Based on this, the study and monitoring of hydrological and drought factors is an important issue that can have a significant impact on management decisions in the field of water resources, especially in crisis management. Therefore, investigating the drought parameters is very important to understand the drought situation of a region. In this study, Alanya region, which is located on the southern coast of Turkey, was selected as a case study for drought analysis. Four drought indices for the selected region including: China Z-Index (CZI), Standardized Precipitation Index (SPI), Modified China Z-Index (MCZI) and Z-Score Index (ZSI) have been investigated. All these indicators have been investigated and evaluated using time scales of 1, 6, 12 and 24 months, the coefficient of determination (R2) has been calculated for each drought index with a different time scale and their results have been compared. The findings of the research showed that SPI and CZI drought indices performed better than other selected drought indices in identifying and effectively tracking drought severity. In addition to the study of dry events, wet events were also investigated, which indicates the presence of consecutive floods in the last years of the studied period in the region. The results indicated similar very dry events for the selected indicators in the 6-month period. Also, the rainfall trend for the period of 2015-2022 was taken into consideration to examine the rainfall of the last eight years. The results show that precipitation has decreased in recent years and has a downward trend in most months of the period in question, and the possibility of flood events due to sudden showers in the region has increased due to the continuation of droughts experienced in the years before 2015. Investigating soil moisture and vegetation for the selected period in the study area is also important for the evaluation of the drought level. Evaluation of the available land (vegetation) cover maps of the years 1975, 1985, 2000, 2010, 2020 and 2022 show that the vegetation cover has weakened over the years, and it has been evaluated as an indicator that the danger of drought in the region has increased.

The role and mechanism of RIPK1 in vascular endothelial dysfunction in chronic kidney disease.

Endothelial dysfunction is common in patients with chronic kidney disease (CKD) and cardiovascular events, but the mechanism is unclear. In our study, we found elevated levels of RIPK1 in patients with CKD and cardiovascular events through bioinformation analysis. Elevated RIPK1 levels were found in serum samples of CKD patients and were associated with vascular endothelial dysfunction and renal function. We constructed the five of six nephrectomy of CKD mice model, finding that RIPK1 expressions were elevated in abdominal aorta endothelial cells. After RIPK1 inhibition and overexpression, it was found that RIPK1 could regulate the expression of endothelial nitric oxide synthase (eNOS) and cell adhesion molecule 1 (ICAM-1), and activation of inflammatory responses and endoplasmic reticulum (ER) stress. In addition, uremic toxin induced abnormal expression of RIPK1 invitro. We observed RIPK1-mediating endothelial dysfunction and inflammation responses by ER stress pathways through gain and loss of function. In order to explore the specific mechanism, we conducted co-immunoprecipitation and expression regulation of RIPK1 and IKK, finding that RIPK1 formed complex with IKK and regulated IKK expression. In conclusion, we demonstrated that RIPK1 levels were closely associated with vascular endothelial dysfunction in patients with CKD. With uremic toxins, RIPK1 expression was elevated, which led to the activation of inflammation through the ER stress pathway, resulting in vascular endothelial injury. Besides, activation of RIPK1-IKK-NF-κB axis was a key driver of endothelial dysfunction in CKD. Our study provides a new perspective for the study of cardiovascular events in CKD.

Indonesia National Police efforts in handling football supporter riots; study of events at Kanjuruhan Stadium, Malang Regency, Indonesia

Indonesia National Police efforts in handling football supporter riots; study of events at Kanjuruhan Stadium, Malang Regency, Indonesia

Geomagnetic and Cosmic Ray Activity Effect on Heart Rate during the Solar Cycle 24

The number of investigations relevant to the study of geomagnetic activity, solar events, and cosmic rays, i.e., space weather phenomena, and their impact on human health has increased dramatically over the past few years. Numerous studies examine the reaction of the cardiovascular, nervous, and other functional systems to variations observed in geospace. These studies examine the behavior of human physiological parameters not only during different levels of activity of the Sun and in the interplanetary space (from no activity to remarkably intense activity) but also through geomagnetic activity storms and Forbush decreases. Here, individuals from the Hippocratio General Hospital in Athens, the cardiology clinics of Nikaia General Hospital in Piraeus, and the Heraklion University Hospital in Crete, Greece, were assessed during the time period from 2011 until 2018. The heart rate of the individuals was recorded every hour via the Holter electrocardiogram method. Data were analyzed using the analysis of variance (ANOVA) and the method of superimposed epochs. The investigation covers not only the ascending but also the descending phase of the solar cycle 24 (lasting until 2019 and with its maximum in the year 2014).

Performance of risk prediction models for post-liver transplant patient and graft survival over time.

Given liver transplantation organ scarcity, selection of recipients and donors to maximize post-transplant benefit is paramount. Several scores predict post-transplant outcomes by isolating elements of donor and recipient risk, including the donor risk index, Balance of Risk, pre-allocation score to predict survival outcomes following liver transplantation/survival outcomes following liver transplantation (SOFT), improved donor-to-recipient allocation score for deceased donors only/improved donor-to-recipient allocation score for both deceased and living donors (ID2EAL-D/-DR), and survival benefit (SB) models. No studies have examined the performance of these models over time, which is critical in an ever-evolving transplant landscape. This was a retrospective cohort study of liver transplantation events in the UNOS database from 2002 to 2021. We used Cox regression to evaluate model discrimination (Harrell's C) and calibration (testing of calibration curves) for post-transplant patient and graft survival at specified post-transplant timepoints. Sub-analyses were performed in the modern transplant era (post-2014) and for key donor-recipient characteristics. A total of 112,357 transplants were included. The SB and SOFT scores had the highest discrimination for short-term patient and graft survival, including in the modern transplant era, where only the SB model had good discrimination (C ≥ 0.60) for all patient and graft outcome timepoints. However, these models had evidence of poor calibration at 3- and 5-year patient survival timepoints. The ID2EAL-DR score had lower discrimination but adequate calibration at all patient survival timepoints. In stratified analyses, SB and SOFT scores performed better in younger (< 40 y) and higher Model for End-Stage Liver Disease (≥ 25) patients. All prediction scores had declining discrimination over time, and scores relying on donor factors alone had poor performance. Although the SB and SOFT scores had the best overall performance, all models demonstrated declining performance over time. This underscores the importance of periodically updating and/or developing new prediction models to reflect the evolving transplant field. Scores relying on donor factors alone do not meaningfully inform post-transplant risk.

A real-world pharmacovigilance study of FDA adverse event reporting system events for diazepam.

Background: Diazepam, one of the benzodiazepines, is widely used clinically to treat anxiety, for termination of epilepsy, and for sedation. However, the reports of its adverse events (AEs) have been numerous, and even fatal complications have been reported. In this study, we investigated the AEs of diazepam based on real data from the U.S. Food and Drug Administration (FDA) adverse event reporting system (FAERS). Methods: Disproportionality in diazepam-associated AEs was assessed through the calculation of reporting odds ratios (RORs), proportional reporting ratios (PRRs), Bayesian confidence-propagation neural networks (BCPNNs), and gamma-Poisson shrinkage (GPS). Results: Among the 19,514,140 case reports in the FAERS database, 15,546 reports with diazepam as the "principal suspect (PS)" AEs were identified. Diazepam-induced AEs occurred targeting 27 system organ categories (SOCs). Based on four algorithms, a total of 391 major disproportionate preferred terms (PTs) were filtered out. Unexpectedly significant AEs such as congenital nystagmus, developmental delays, and rhabdomyolysis were noted, which were not mentioned in the drug insert. Conclusion: Our study identified potential signals of new AEs that could provide strong support for clinical monitoring and risk identification of diazepam.

«Restaurare modernamente». Interventi settecenteschi all’Oratorio di San Sebastiano del complesso monumentale della SS. Annunziata di Firenze attraverso i documenti dell’Archivio privato della famiglia

This contribution recounts the eighteenth-century restoration interventions relating to the oratory dedicated to San Sebastiano, belonging to the monumental complex of the SS. Annunziata of Florence and historically under the patronage of the Pucci family. In order to reconstruct the historical events of the oratory, some unpublished documents relating to the historical restoration and maintenance interventions of the eighteenth century will be examined. Preserved mainly in the private archive of the Pucci family, the documents are materials of great importance for the study of the constructive events of the Oratory, but also as evidence of the cultural evolution of the relationship with the ancient and reflections on the concepts of restoration and conservation.

Factors associated with immune-related thyroid dysfunction induced by PD-1/PD-L1 inhibitors in cancer patients: an observational study

This study aimed to identify the potential factors associated with immune thyroid dysfunction caused by programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) inhibitors in cancer patients. We conducted a retrospective study of thyroid immune-related adverse events (irAEs) in cancer patients treated with PD-1/PD-L1 inhibitors at Tianjin First Central Hospital from January 2020 to March 2023. Thyroid irAEs were characterized as hypothyroidism, hyperthyroidism and thyrotoxicosis followed by hypothyroidism. A total of 175 patients were screened in the study, of whom 48 patients (27%) developed thyroid irAEs (including 24 hypothyroidism, 11 hyperthyroidism and 13 thyrotoxicosis followed by hypothyroidism) following PD-1/PD-L1 inhibitors treatment. Multivariate logistic regression analysis showed that combination therapy with PD-1/PD-L1 inhibitors and tyrosine kinase inhibitors (lenvatinib/regorafenib) and high baseline anti-TPO level were associated with the development of thyroid irAEs caused by PD-1/PD-L1 inhibitors. The nomogram models showed good discriminant ability and could bring net benefits for more patients according to the decision curve analysis. However, the model needs to be further validated in other large cohorts.

Optical sensing and control of T cell signaling pathways.

T cells regulate adaptive immune responses through complex signaling pathways mediated by T cell receptor (TCR). The functional domains of the TCR are combined with specific antibodies for the development of chimeric antigen receptor (CAR) T cell therapy. In this review, we first overview current understanding on the T cell signaling pathways as well as traditional methods that have been widely used for the T cell study. These methods, however, are still limited to investigating dynamic molecular events with spatiotemporal resolutions. Therefore, genetically encoded biosensors and optogenetic tools have been developed to study dynamic T cell signaling pathways in live cells. We review these cutting-edge technologies that revealed dynamic and complex molecular mechanisms at each stage of T cell signaling pathways. They have been primarily applied to the study of dynamic molecular events in TCR signaling, and they will further aid in understanding the mechanisms of CAR activation and function. Therefore, genetically encoded biosensors and optogenetic tools offer powerful tools for enhancing our understanding of signaling mechanisms in T cells and CAR-T cells.

Organotypic 3D Cell Culture of the Embryonic Lacrimal Gland.

Ectodermal organ development, including lacrimal gland, is characterized by an interaction between an epithelium and a mesenchyme. Murine lacrimal gland is a good model to study non-stereotypical branching morphogenesis. In vitro cultures allow the study of morphogenesis events with easy access to high-resolution imaging. Particularly, embryonic lacrimal gland organotypic 3D cell cultures enable the follow-up of branching morphogenesis thanks to the analysis of territories organization by immunohistochemistry. In this chapter, we describe a method to culture primary epithelial fragments together with primary mesenchymal cells, isolated from embryonic day 17 lacrimal glands.

Just be real with me: Perceived partner authenticity promotes relationship initiation via shared reality

Relationships are a critical component of professional life, yet people often experience difficulties forming workplace bonds. We examine the impact of perceiving one’s interaction partner as authentic in an initial encounter as a key driver of relationship initiation through shared reality. Study 1, a longitudinal field study of professional networking events, revealed that perceived partner authenticity predicted relationship initiation four weeks later. Study 2 found pre-registered experimental evidence for the relationship between perceived partner authenticity and relationship initiation. Study 3 replicated these effects between pairs of new acquaintances working on a collaborative task and found that shared reality mediated the link between perceived partner authenticity and relationship initiation. In Study 4, these effects persisted for observable authenticity behaviors in conversations. Finally, Studies 5a-5b tested the causal effect of perceived partner authenticity on relationship initiation through increased shared reality. Overall, our results suggest that perceiving one’s partner as authentic during initial professional encounters promotes relationship initiation by fostering shared reality.

Anticipating Patient Safety Events in Psychiatric Care.

Although suicide prevention often dominates patient safety efforts in psychiatry and behavioral health, patients who seek such services are also prone to other kinds of adverse events. The purpose of this study was to more fully characterize the types of safety events that occur in the context of psychiatric care. This was a retrospective study of safety events that had been reported to a hospital-based psychiatry department during a 4-year period. The authors reviewed each incident, developed new and more precise event categories, and assigned each report to a category. Events that could not be categorized were assigned to an "Other" category. The percentages of categorizable events between the new and old frameworks were compared. A total of 366 reports were filed. In the updated framework, 324 events (89%) could be categorized compared to 225 (61%) in the original registry. Understanding the kinds of safety events that clinicians are likely to encounter in the context of psychiatric care may help to expand patient safety efforts beyond suicide risk prevention.

Concurrent functional ultrasound imaging with graphene-based DC-coupled electrophysiology as a platform to study slow brain signals and cerebral blood flow under control and pathophysiological brain states.

Current methodology used to investigate how shifts in brain states associated with regional cerebral blood volume (CBV) change in deep brain areas, are limited by either the spatiotemporal resolution of the CBV techniques, and/or compatibility with electrophysiological recordings; particularly in relation to spontaneous brain activity and the study of individual events. Additionally, infraslow brain signals (<0.1 Hz), including spreading depolarisations, DC-shifts and infraslow oscillations (ISO), are poorly captured by traditional AC-coupled electrographic recordings; yet these very slow brain signals can profoundly change CBV. To gain an improved understanding of how infraslow brain signals couple to CBV we present a new method for concurrent CBV with wide bandwidth electrophysiological mapping using simultaneous functional ultrasound imaging (fUS) and graphene-based field effect transistor (gFET) DC-coupled electrophysiological acquisitions. To validate the feasibility of this methodology visually-evoked neurovascular coupling (NVC) responses were examined. gFET recordings are not affected by concurrent fUS imaging, and epidural placement of gFET arrays within the imaging window did not deteriorate fUS signal quality. To examine directly the impact of infra-slow potential shifts on CBV, cortical spreading depolarisations (CSDs) were induced. A biphasic pattern of decreased, followed by increased CBV, propagating throughout the ipsilateral cortex, and a delayed decrease in deeper subcortical brain regions was observed. In a model of acute seizures, CBV oscillations were observed prior to seizure initiation. Individual seizures occurred on the rising phase of both infraslow brain signal and CBV oscillations. When seizures co-occurred with CSDs, CBV responses were larger in amplitude, with delayed CBV decreases in subcortical structures. Overall, our data demonstrate that gFETs are highly compatible with fUS and allow concurrent examination of wide bandwidth electrophysiology and CBV. This graphene-enabled technological advance has the potential to improve our understanding of how infraslow brain signals relate to CBV changes in control and pathological brain states.

Mesoscale Influences of Land Use, Topography, Antecedent Rainfall, and Atmospheric Conditions on Summertime Convective Storm Initiation under Weak Synoptic-Scale Forcing

Abstract Throughout the summer months in the Southeast United States (SEUS), the initiation of isolated convection (CI) can occur abundantly during the daytime with weak synoptic support (e.g., weak wind shear). Centered around this premise, a dual-summer, limited-area case study of CI events concerning both geographical and meteorological features was conducted. The goal of this study was to help explain SEUS summertime CI in weak synoptic environments, which can enhance CI predictability. Results show that spatial CI nonrandomness event patterns arise, with greater CI event density appearing over high elevation by midday. Later in the day, overall CI event counts subside with other mechanisms/factors emerging (e.g., urban heat island). Antecedent rainfall, instability, and moisture features are also higher on average where CI occurred. In a random forest feature importance analysis, elevation was the most important variable in dictating CI events in the early to midafternoon while antecedent rainfall and wind direction consistently rank highest in permutation importance. The results cumulatively allude to, albeit in a muted, nonsignificant statistical signal, and a degree of spatial clustering of CI event occurrences cross the study domain as a function of daytime heating and contributions of features to enhancing CI probabilities (e.g., differential heating and mesoscale thermal circulations). Significance Statement Widespread isolated thunderstorms in the Southeast United States summer season with weak synoptic support have been commonly observed. With forecasting these remaining a challenge, a dual-summer intercomparison of geographical/meteorological features with convective initiation events was conducted. Radar data with a minimum threshold for convective initiation detection (35 dBZ) were used. Spatial nonrandomness was discovered with greater event density appearing over higher elevation by midday. Features such as prior rainfall and atmospheric instability/moisture were higher on average where initiation occurred. In a feature importance analysis, elevation ranked higher in the early to midafternoon hours while antecedent rainfall and wind direction ranked highest overall in permutation importance. These results allude to the contribution of localized phenomena to the nonrandomness (e.g., mesoscale circulations).

Limitations of Diplomatic Immunity for Diplomat Family Members Reviewed from the 1961 Vienna Convention (Case Study of Accident Events of Diplomat Family Members that Caused Death of Citizens of the Recipient Country)

Limitations of Diplomatic Immunity for Diplomat Family Members Reviewed from the 1961 Vienna Convention (Case Study of Accident Events of Diplomat Family Members that Caused Death of Citizens of the Recipient Country)

PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime.

Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are complex tools that require specialized training and laborious setup and are challenging even for weather experts. Moreover, weather simulations are data-intensive computations and may take hours to days to complete. When the simulation is finished, the experts face challenges analyzing its outputs, a large mass of spatiotemporal and multivariate data. From the simulation setup to the analysis of results, working with weather simulations involves several manual and error-prone steps. The complexity of the problem increases exponentially when the experts must deal with ensembles of simulations, a frequent task in their daily duties. To tackle these challenges, we propose ProWis: an interactive and provenance-oriented system to help weather experts build, manage, and analyze simulation ensembles at runtime. Our system follows a human-in-the-loop approach to enable the exploration of multiple atmospheric variables and weather scenarios. ProWis was built in close collaboration with weather experts, and we demonstrate its effectiveness by presenting two case studies of rainfall events in Brazil.

Nonparametric tests of extremes of daily maximum temperatures based on the breaking records: A case study in Seoul and Busan during 1961-2022

An observation in a time series is called an upper record if it is greater than all previous observations in the series. Also it is called a lower record than all previous observations in the series. Therefore, the analysis of record-breaking events is of interest in fields such as climatology, economics and sports. As an alternative to the classical extreme value theory, which are based on the fit of generalized extreme value (GEV) distribution, generalized Pareto (GP) distribution and Poisson processes, this work is based on the study of record-breaking events to analyze non-stationarity in the extremes. The contribution of this work is the use of the statistical tools developed by Castillo-Mateo et al. (2023) to assess and analyze the effect of global warming in the extreme and record breaking events using daily maximum temperature series in Seoul and Busan over 1961-2022. These test statistics consider the information based on the four different types of record, that is, forward upper, forward lower, backward upper and backward lower. Also, change point detection is implemented based on records.