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John Selden's 1642 edition and translation of an extract from a chronicle by Eutychius (Said ibn Batriq), the tenth-century Melkite patriarch of Alexandria, can be considered the first Arabic book printed in England. This article examines the early reception of Selden's Eutychius in the European republic of letters, exploring the ways in which its testimony about the early Alexandrian Church contributed to scholarly debates over episcopacy against the backdrop of the English Revolution. In doing so it demonstrates how Selden's edition made Eutychius a touchstone in seventeenth-century confessional disputes over ecclesiastical history while attracting readers in England and abroad.
The stimulation of instability and transport in the bottom boundary layer by internal solitary waves has been documented for over twenty years. However, the challenge of shallow slopes and a disparity of scales between the large-scale wave and the small-scale boundary layer has proven challenging for simulations. We present laboratory scale simulations that resolve the three-dimensionalisation in the boundary layer during the entire shoaling process. We find that the late stage, in which the incoming wave fissions into boluses, provides the most consistent source of three-dimensionalisation. In the early stage of shoaling, three-dimensionalisation occurs not so much due to separation bubble instability, but due to the interaction of vortices shed from the separation bubble with the overlying pycnocline. This interaction overturns the pycnocline, and creates bursts in kinetic energy and viscous dissipation, suggesting that the shed vortices induce turbulent motion and sediment resuspension in the water column above and behind the separation bubble.
A surge of pediatric respiratory illnesses beset the United States in late 2022 and early 2023. This study evaluated within-surge hospital acute and critical care resource availability and utilization. The study aimed to determine pediatric hospital acute and critical care resource use during a respiratory illness surge.
Methods
Between January and February 2023, an online survey was sent to the sections of hospital medicine and critical care of the American Academy of Pediatrics, community discussion forums of the Children’s Hospital Association, and PedSCCM—a pediatric critical care website. Data were summarized with median values and interquartile range.
Results
Across 35 hospitals with pediatric intensive care units (PICU), increase in critical care resource use was significant. In the month preceding the survey, 26 (74%) hospitals diverted patients away from their emergency department (ED) to other hospitals, with 46% diverting 1-5 patients, 23% diverting 6-10 patients, and 31% diverting more than 10 patients. One in 5 hospitals reported moving patients on mechanical ventilation from the PICU to other settings, including the ED (n = 2), intermediate care unit (n = 2), cardiac ICU (n = 1), ward converted to an ICU (n = 1), and a ward (n = 1). Utilization of human critical care resources was high, with PICU faculty, nurses, and respiratory therapists working at 100% capacity.
Conclusions
The respiratory illness surge triggered significant hospital resource use and diversion of patients away from hospitals. Pediatric public health emergency-preparedness should innovate around resource capacity.
Mass Casualty Incidents (MCIs) involving high-speed passenger ferries (HSPFs) may result in the dual-wave phenomenon, in which the emergency department (ED) is overwhelmed by an initial wave of minor injuries, followed by a second wave of more seriously injured victims. This study aimed to characterize the time pattern of ED presentation of victims in such accidents in Hong Kong.
Methods
All HSPF MCIs from 2005 to 2015 were reviewed retrospectively, with the time interval from accident to ED registration determined for each victim. Multivariable linear regression was used to identify independent factors associated with the time of ED presentation after the accidents.
Results
Eight MCIs involving 492 victims were identified. Victims with an Injury Severity Score (ISS) ≥ 9 had a significantly shorter median time interval compared to those with minor injuries. An ISS ≥ 9 and evacuation by emergency service vessels were associated with a shorter delay in ED arrival, whereas ship sinking, accident at nighttime, and a longer linear distance between the accident and receiving ED were associated with a longer delay.
Conclusion
The dual-wave phenomenon was not present in HSPF MCIs. Early communication is the key to ensure early resource mobilisation and a well-timed response.
On October 7, 2023, somewhere around 1,500-3,000 terrorists invaded southern Israel killing 1,200 people, injuring 1,455, and taking 239 as hostages resulting in the largest mass-casualty event (MCE) in the country’s history. Most of the victims were civilians who suffered from complex injuries including high-velocity gunshot wounds, blast injuries from rocket-propelled grenades, and burns. Many would later require complex surgeries by all disciplines including general surgeons, vascular surgeons, orthopedists, neurosurgeons, cardiothoracic surgeons, otolaryngologists, oral maxillofacial surgeons, and plastic surgeons. Magen David Adom (MDA) is Israel’s National Emergency Prehospital Medical Organization and a member of the International Red Cross. While there are also private and non-profit ambulance services in Israel, the Ministry of Health has mandated MDA with the charge of managing an MCE. For this event, MDA incorporated a five-part strategy in this mega MCE: (1) extricating victims from areas under fire by bulletproof ambulances, (2) establishing casualty treatment stations in safe areas, (3) ambulance transport from the casualty treatment stations to hospitals, (4) ambulance transport of casualties from safe areas to hospitals, and (5) helicopter transport of victims to hospitals. This is the first time that MDA has responded to a mega MCE of this magnitude and lessons are continually being learned.
Scholars have rightly identified the roles of literal/historical interpretation and noetic/spiritual interpretation in Cyril of Alexandria's exegesis of Scripture. This article argues that narrative contributes to both methods by using events in the past to explain Scripture's meaning. He applies concepts established historically by Exodus’ recount of the Israelites’ presence in Egypt to his interpretation of the prophetic books. On the one hand, his literal interpretation draws from the Israelites’ return to idolatry, detailed in Exodus xxxii. On the other hand, his noetic interpretation relates the Egyptians’ oppression of the Israelites detailed in Exodus i to humanity's limitations under the devil.
Clustering is a method of allocating data points in various groups, known as clusters, based on similarity. The notion of expressing similarity mathematically and then maximizing it (minimize dissimilarity) can be formulated as an optimization problem. Spectral clustering is an example of such an approach to clustering, and it has been successfully applied to visualization of clustering and mapping of points into clusters in two and three dimensions. Higher dimension problems remained untouched due to complexity and, most importantly, lack of understanding what “similarity” means in higher dimensions. In this paper, we apply spectral clustering to long timeseries EEG (electroencephalogram) data. We developed several models, based on different similarity functions and different approaches for spectral clustering itself. The results of the numerical experiment demonstrate that the created models are accurate and can be used for timeseries classification.
The rationale behind state support for, and obedience to, normative rules and obligations has long been a topic of international law scholarship discourse. What has yet to be fully established, however, is why virtually all states have agreed to adhere to a seemingly novel global paradigm with ambitious yet non-binding objectives – the United Nations 2030 Sustainable Development Goals (SDGs). This article identifies six factors as contributing to the influencing power of the SDGs – namely, the role of law, particularly inter- and transnational law, the legitimacy of the framework, the notion of reciprocity, reputational concerns, national self-interest, and the moral duty to address the shared global challenges of sustainable development.
By exploring their strengths and limitations through several theoretical frameworks (including Harold Koh's theory of transnational legal processes, Thomas Franck's theory of legitimacy, and Ryan Goodman and Derek Jinks’ three mechanisms of social influence), this article argues that the combination of these factors motivates voluntary state commitment, reporting, and cooperation under the SDG framework and that, overall, the SDGs offer a versatile lens to explore the different motives for state adherence to a soft law framework in the inter- and transnational legal spheres.
This study examines the pursuit-evasion game involving unmanned aerial vehicles (UAVs), with a specific focus on the scenario of N-pursuers-one-escapee. The primary objective is to develop an optimal strategy for the escapee when the pursuers possess superior capabilities. To obtain this objective, we conduct the following study. Firstly, to enhance realism, a non-cooperative differential game model is formulated, incorporating multiple motion characteristics, including aerodynamics, overloading, and imposed constraints. Secondly, the end-value performance index is subsequently converted to an integral one, simplifying the solution process of the Hamilton-Jacobi-Bellman (HJB) equation. An iterative method is utilised to determine the covariates using the Cauchy initial value problem, and its convergence and uniqueness are established. The optimal avoidance strategy is subsequently derived from the covariates. Finally, the superiority of the proposed strategy is validated through simulation experiments and compared to three advanced optimal avoidance strategies. A total of 1,000 anti-jamming simulation experiments are conducted to verify the robustness of the proposed strategy.
We use the New Keynesian Dynamic Stochastic General Equilibrium (DSGE) framework and Vector Autoregressive (VAR) to investigate the usefulness and relevancy of monetary services, augmented to include credit card transaction services. We use the new credit-card-augmented Divisia monetary aggregates in the models to further the existing research on their usefulness and relevancy. In this research, we compare three different monetary aggregates within the New Keynesian framework: (1) the aggregation-theoretic “true” monetary aggregate, (2) the credit-card-augmented Divisia monetary aggregate, and (3) the simple sum monetary aggregate.
We acquire the following primary results. (1) The credit-card-augmented Divisia monetary aggregate tracks the theoretical (true) monetary aggregate, while simple sum does not. Although this result would be expected from the theory in classical economic models, the result is not an immediate implication of the theory in New Keynesian models and therefore needs empirical confirmation. (2) Under the recursive VAR framework, the credit-card-augmented Divisia monetary aggregate serves as a preferable monetary policy indicator compared to the traditional federal funds rate. (3) On theoretical grounds, we find that the separability condition for existence of a monetary aggregator function could fail, if credit card deferred payment services were excluded from the monetary services block, unless all markets are perfect.
A $(k+r)$-uniform hypergraph $H$ on $(k+m)$ vertices is an $(r,m,k)$-daisy if there exists a partition of the vertices $V(H)=K\cup M$ with $|K|=k$, $|M|=m$ such that the set of edges of $H$ is all the $(k+r)$-tuples $K\cup P$, where $P$ is an $r$-tuple of $M$. We obtain an $(r-2)$-iterated exponential lower bound to the Ramsey number of an $(r,m,k)$-daisy for $2$-colours. This matches the order of magnitude of the best lower bounds for the Ramsey number of a complete $r$-graph.
The calcium-sensing receptor (CaSR) is a critical mediator of calcium homeostasis in various tissues. Its role in human reproduction, especially in sperm function and male fertility, remains not fully elucidated. This study investigates the expression patterns of CaSR in normal and abnormal sperm and spermatogenic cells and evaluates its potential effect on sperm motility and morphology. Using immunohistochemistry (IHC), quantitative PCR (qPCR), we assessed the expression levels of CaSR in normal sperm, spermatogonia, and cases of asthenozoospermia, oligozoospermia, and teratozoospermia. In vitro functional assays were performed to analyze the effects of CaSR modulation on sperm motility under varying conditions, including the presence of specific CaSR agonists and antagonists. Our study revealed distinct patterns of CaSR expression in normal sperm and spermatogonia compared with those in abnormal sperm samples, particularly in cases of asthenozoospermia, oligozoospermia, and teratozoospermia. A marked decrease in CaSR expression was evident in these abnormal samples, highlighting its significance in normal sperm functionality. Functional assays further elucidated the role of CaSR in sperm motility. Activation of CaSR through specific agonists enhanced sperm motility, while inhibition by antagonists led to reduced motility. Our findings suggest that CaSR plays a significant role in maintaining sperm functionality and that changes in its expression may be associated with male infertility. These insights into the molecular underpinnings of sperm physiology highlight CaSR as a potential therapeutic target for treating certain forms of male infertility.
We are interested in the two-dimensional four-constant Riemann problem to the isentropic compressible Euler equations. In terms of the self-similar variables, the governing system is of nonlinear mixed-type and the solution configuration typically contains transonic and small-scale structures. We construct a supersonic-sonic patch along a pseudo-streamline from the supersonic part to a sonic point. This kind of patch appears frequently in the two-dimensional Riemann problem and is a building block for constructing a global solution. To overcome the difficulty caused by the sonic degeneracy, we apply the characteristic decomposition technique to handle the problem in a partial hodograph plane. We establish a regular supersonic solution for the original problem by showing the global one-to-one property of the partial hodograph transformation. The uniform regularity of the solution and the regularity of an associated sonic curve are also discussed.
The appropriate response to mass causality biological events requires well-established preparedness and providing a surge capacity. In such a situation, a practical solution is to convert large public venues into shelter hospitals. Due to the lack of a guideline for the transformation of a large public center into a hospital, the present study collected the design criteria for the transformation of public buildings into shelter hospitals in response to biological events such as epidemics or mass causality biological accidents.
Methods
The keywords were searched in Scopus, Web of Science, and PubMed databases until November 2021. This systematic review was conducted using terms related to mass causality biological accidents, shelter hospitals, and design criteria.
Results
Of 1802 extracted articles, duplicates (n = 280) and unrelated publications (n = 1342) were left out in the initial evaluation. Among 180 remained papers, 29 records satisfied our criteria after reviewing abstracts and full texts. Most of the included studies were related to the transformation of public venues into hospitals in response to the coronavirus disease 2019 (COVID-19) pandemic. The investigated themes included site selection, layout and structure, waste and wastewater management, ventilation, communication, food and medicine delivery, humanitarians and social supports, post-treatment care, and Management measures.
Conclusions
In summary, large public venues are highly recommended alternatives for surge capacity in response to mass causality biological accidents. However, the main challenges for using these centers are the provision of basic requirements such as water and electricity, ventilation, and available space.
A major tenet of healthcare environmental cleaning focuses on high-touch surfaces (HTSs). HTSs have high rates of contamination, yet cleaning compliance remains low, particularly in patient-occupied rooms. This quality improvement study aimed to use human-centric and participatory design to modify an HTS cleaning checklist and conduct initial trial and evaluation.
The dynamics of a single highly elastic fibre settling under gravity in a very viscous fluid is studied numerically. We employ the bead model and multipole expansion of the Stokes equations, corrected for lubrication that is implemented in the precise Hydromultipole numerical codes. Four attracting regular dynamical modes of highly elastic fibres are found: two stationary shapes (one translating and the other rotating and translating), and two periodic oscillations around such shapes. The phase diagram of these modes is presented. It illustrates that the existence of each mode depends not only on the elasto-gravitation number but also on the fibre aspect ratio. Characteristic time scales, fibre deformation patterns and motion in the different modes are determined.
Performing tasks in agriculture, such as fruit monitoring or harvesting, requires perceiving the objects’ spatial position. RGB-D cameras are limited under open-field environments due to lightning interferences. So, in this study, we state to answer the research question: “How can we use and control monocular sensors to perceive objects’ position in the 3D task space?” Towards this aim, we approached histogram filters (Bayesian discrete filters) to estimate the position of tomatoes in the tomato plant through the algorithm MonoVisual3DFilter. Two kernel filters were studied: the square kernel and the Gaussian kernel. The implemented algorithm was essayed in simulation, with and without Gaussian noise and random noise, and in a testbed at laboratory conditions. The algorithm reported a mean absolute error lower than 10 mm in simulation and 20 mm in the testbed at laboratory conditions with an assessing distance of about 0.5 m. So, the results are viable for real environments and should be improved at closer distances.
We investigate the list packing number of a graph, the least $k$ such that there are always $k$ disjoint proper list-colourings whenever we have lists all of size $k$ associated to the vertices. We are curious how the behaviour of the list packing number contrasts with that of the list chromatic number, particularly in the context of bounded degree graphs. The main question we pursue is whether every graph with maximum degree $\Delta$ has list packing number at most $\Delta +1$. Our results highlight the subtleties of list packing and the barriers to, for example, pursuing a Brooks’-type theorem for the list packing number.