bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical management and supervision of Influenza – systematic review
Authors: Głodzik Michał , Miśkiewicz Marek , Łęcka Martyna , Ogiegło-Kowalczyk Aleksandra , Samborska Julia , Stelmaszak Karina , Stencel Katarzyna , Więckowiak Paweł , Wojtasik Monika , Żak Katarzyna 
Published: January 2024

The main aim of the following study is to review current knowledge on Influenza.
Influenza, also known as the flu, is an acute, infectious disease which attacks the respiratory system. The disease is caused by the influenza virus, of which there are 3 types. The most common is type A of influenza virus. It is transmitted between people by the droplet route, with cases occurring particularly frequently during seasonal epidemics. This is why the most important form of prevention is maintaining personal hygiene and isolation of sick people. Another form of prevention is a vaccine for the influenza virus developed with new variants every year. The flu causes a variety of symptoms from many systems but can also be asymptomatic. Diagnosis of the illness is based on clinical criteria and the results of diagnostic tests for which there are established criteria of legitimacy. Most common and sufficient curation for an illness is a symptomatic treatment but there is also a causal treatment for influenza. However certain conditions are required for its implementation. Influenza is usually a mild disease, but there are present cases of serious complications. Groups particularly exposed to severe and complicated courses of the disease are pregnant women, children and patients with multimorbidities. Currently, the co-occurrence of influenza with Covid-19 infection is particularly dangerous, which constitutes a new challenge for the global health care system.
TSGBench: Time Series Generation Benchmark
Authors: Ang Yihao , Huang Qiang , Bao Yifan , Tung Anthony K. H. , Huang Zhiyong 
Published: January 2024

Synthetic Time Series Generation (TSG) is crucial in a range of applications, including data augmentation, anomaly detection, and privacy preservation. Although significant strides have been made in this field, existing methods exhibit three key limitations: (1) They often benchmark against similar model types, constraining a holistic view of performance capabilities. (2) The use of specialized synthetic and private datasets introduces biases and hampers generalizability. (3) Ambiguous evaluation measures, often tied to custom networks or downstream tasks, hinder consistent and fair comparison.To overcome these limitations, we introduce TSGBench, the inaugural Time Series Generation Benchmark, designed for a unified and comprehensive assessment of TSG methods. It comprises three modules: (1) a curated collection of publicly available, real-world datasets tailored for TSG, together with a standardized preprocessing pipeline; (2) a comprehensive evaluation measures suite including vanilla measures, new distance-based assessments, and visualization tools; (3) a pioneering generalization test rooted in Domain Adaptation (DA), compatible with all methods. We have conducted comprehensive experiments using TSGBench across a spectrum of ten real-world datasets from diverse domains, utilizing ten advanced TSG methods and twelve evaluation measures. The results highlight the reliability and efficacy of TSGBench in evaluating TSG methods. Crucially, TSGBench delivers a statistical analysis of the performance rankings of these methods, illuminating their varying performance across different datasets and measures and offering nuanced insights into the effectiveness of each method.
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Authors: Chen Yuhang , Zhang Chaoyun , Ma Minghua , Liu Yudong , Ding Ruomeng , Li Bowen , He Shilin , Rajmohan Saravan , Lin Qingwei , Zhang Dongmei 
Published: January 2024

Anomaly detection in multivariate time series data is of paramount importance for large-scale systems. However, accurately detecting anomalies in such data poses significant challenges due to the need for precise data modeling capability. Existing forecasting and reconstruction-based methods struggle to address these challenges effectively. To overcome these limitations, we propose a novel anomaly detection framework named ImDiffusion, which combines time series imputation and diffusion models to achieve accurate and robust anomaly detection. The imputation-based approach employed by ImDiffusion leverages the information from neighboring values in the time series, enabling precise modeling of temporal and inter-correlated dependencies, reducing uncertainty in the data, thereby enhancing the robustness of the anomaly detection process. ImDiffusion further leverages diffusion models as time series imputers to accurately capture complex dependencies. We leverage the step-by-step denoised outputs generated during the inference process to serve as valuable signals for anomaly prediction, resulting in improved accuracy and robustness of the detection process.We evaluate the performance of ImDiffusion via extensive experiments on benchmark datasets. The results demonstrate that our proposed framework significantly outperforms state-of-the-art approaches in terms of detection accuracy and timeliness. ImDiffusion is further integrated into the real production system in Microsoft and observes a remarkable 11.4% increase in detection F1 score compared to the legacy approach. To the best of our knowledge, ImDiffusion represents a pioneering approach that combines imputation-based techniques with time series anomaly detection, while introducing the novel use of diffusion models to the field.
Fast and Space-Efficient Parallel Algorithms for Influence Maximization
Authors: Wang Letong , Ding Xiangyun , Gu Yan , Sun Yihan 
Published: January 2024

Influence Maximization (IM) is a crucial problem in data science. The goal is to find a fixed-size set of highly influentialseedvertices on a network to maximize the influence spread along the edges. While IM is NP-hard on commonly used diffusion models, a greedy algorithm can achieve (1 - 1/e)-approximation by repeatedly selecting the vertex with the highestmarginal gainin influence as the seed. However, we observe two performance issues in the existing work that prevent them from scaling to today's large-scale graphs: space-inefficient memorization to estimate marginal gain, and time-inefficient seed selection process due to a lack of parallelism.This paper significantly improves the scalability of IM using two key techniques. The first is asketch-compressiontechnique for the independent cascading model on undirected graphs. It allows combining the simulation and sketching approaches to achieve a time-space tradeoff. The second technique includes new data structures for parallel seed selection. Using our new approaches, we implementedPaC-IM: Parallel and Compressed IM.We comparePaC-IMwith state-of-the-art parallel IM systems on a 96-core machine with 1.5TB memory.PaC-IMcan process the ClueWeb graph with 978M vertices and 75B edges in about 2 hours. On average, across all tested graphs, our uncompressed version is 5--18x faster and about 1.4x more space-efficient than existing parallel IM systems. Using compression further saves 3.8x space with only 70% overhead in time on average.
The Art of Latency Hiding in Modern Database Engines
Authors: Huang Kaisong , Wang Tianzheng , Zhou Qingqing , Meng Qingzhong 
Published: January 2024

Modern database engines must well use multicore CPUs, large main memory and fast storage devices to achieve high performance. A common theme is hiding latencies such that more CPU cycles can be dedicated to "real" work, improving overall throughput. Yet existing systems are only able to mitigate the impact of individual latencies, e.g., by interleaving memory accesses with computation to hide CPU cache misses. They still lack the joint optimization of hiding the impact of multiple latency sources.
This paper presents MosaicDB, a set of latency-hiding techniques to solve this problem. With stackless coroutines and carefully crafted scheduling policies, we explore how I/O and synchronization latencies can be hidden in a well-crafted OLTP engine that already hides memory access latency, without hurting the performance of memory-resident workloads. MosaicDB also avoids oversubscription and reduces contention using the coroutine-to-transaction paradigm. Our evaluation shows MosaicDB can achieve these goals and up to 33x speedup over prior state-of-the-art.
Preparation and properties of stainless steel filament/pure cotton woven fabric
Authors: Yan Taohai , Shi Yajing , Zheng Jiankun , Huang Luming , Lin Chaowang , Chen Zhi 
Published: January 2024

Abstract
The flame-retardant cotton fabric used for welding protective clothing in the market exhibits insufficient melt hole resistance. We evaluated the stainless steel filament fabric for flame retardancy and melt hole resistance and found that it lacked sufficient comfort. A stainless steel filament and a cotton yarn were plied and twisted together and then woven following a set of specifications. The fabric was finished with a flame retardant, and its performance and flame retardancy were determined. The results indicate that the twist direction during ply twisting affects the fabric performance. Relative to the pure cotton fabric, the stainless steel filament/cotton composite fabric exhibits reduced comfort properties, such as moisture permeability and air permeability, but the mechanical properties and flame retardancy are improved. Ply twisting a stainless steel filament and a pure cotton yarn with an S twist presents certain advantages in enhancing the comprehensive performance of the fabric and exhibits potential for advancements in welding protective clothing.
Restrained captive domination number
Authors: Alrikabi Zainab Yasir , Omran Ahmed A. , Hwaeer Hassan Jiad Al 
Published: January 2024

Abstract
The restrained captive domination number (RCDN), denoted by

γ

Rca

(

G

)

,

{\gamma }_{{\rm{Rca}}}(G),

is a new definition of domination number in graphs introduced in this article. If

D

D

is a captive dominating set and

G

[

V
−
D

]

G{[}V-D]

has no isolated vertex, then

D

D

is a restrained captive dominating set (RCDS) of graph

G

G

. Furthermore, some properties, theorems, and propositions are determined. The inverse RCDN is introduced too. The RCDN in complement graphs is discussed. Finally, the RCDS of some graphs is determined. We have explained that if the graph has pendent vertex, then it has no RCDN.
The epistemic conditional in polar questions as an argumentative strategy
Authors: Celle Agnès 
Published: January 2024

Abstract
This paper accounts for the epistemic use of the conditional in polar questions in French. It is argued that polar questions modalised by the epistemic conditional are biased questions that serve an argumentative function, and that the conditional contributes a different commitment update in interrogatives and in questioning declaratives. The bias type depends on whether the question is interrogative or declarative. In interrogatives, the epistemic conditional is generally associated with the subject clitic-verb inversion pattern. This pattern is argued to routinely convey evidential bias, while evidential bias is determined by the context in est-ce que questions. As biased polar questions in the conditional do not undergo interrogative flip, the conjectural meaning conveyed by the combination of the conditional and questioning is reported to be an evidential extension in keeping with evidentiality in non-flip languages (Bhadra, Diti. 2020. The semantics of evidentials in questions. Journal of Semantics 37. 367–423). This might shed new light on the apparent conceptual puzzle posed by the shift in meaning of the epistemic conditional in assertions and in questions.
Adolescents on an inpatient unit and their healthcare providers: what’s working and what’s not
Authors: Coret Alon , Newhook Dennis , Harrison Megan E. 
Published: January 2024

AbstractObjectivesAdolescents admitted to hospital can face unique medical and psychosocial challenges, and may be treated by healthcare providers who do not recognize or adequately address these needs. Our goal was to better understand the experiences of both patients and providers at a local level.MethodsWe designed a cross-sectional survey-based study of two participant groups: (1) adolescent patients (aged 10–19) admitted to general medical wards at a tertiary pediatric hospital and (2) pediatric healthcare providers representing multiple disciplines.ResultsA total of 65 individuals participated: 25 adolescents (mean age 14.6; range 11–17) and 40 multidisciplinary healthcare providers. Most adolescents reported being treated respectfully (88 %) and taken seriously (92 %) by their providers. Several identified structure and routine, a break from daily stressors, and quality time with loved ones as positive aspects to hospitalization, while the use of correct gender pronouns, privacy, and age-appropriate leisure activities were cited areas for improvement. The majority of providers reported enjoying caring for adolescents (82 %) and forging therapeutic connections with them (87 %). Several areas of discomfort were noted, including gender and sexuality, substance use, and suicidality. Identified care gaps included inadequate training/education, suboptimal ward environments, and lack of community resources.ConclusionsHospitals should recognize adolescent patients’ needs for privacy, youth-centered communication, and developmentally-appropriate spaces. Pediatric healthcare professionals generally enjoy providing care to adolescents in the in-patient setting, however, often have insufficient training in addressing adolescent-specific health and psychosocial issues.
Surviving covid-19: a multimodal discourse analysis of new media covid-19 vaccination-related pictorials
Authors: Adebomi Oluwayemisi Olusola 
Published: January 2024

Abstract
This paper explores the communicative acts deployed in covid-19 vaccination-related pictorials circulated on digital media platforms. Seven internet images were purposively sampled with a view to exploring their communicative functions as well as their generic structure. The data, which were culled from the websites of the World Health Organisation, Centre for Disease Control, Pan American Health Organisation and Facebook, were subjected to qualitative analysis. The study deployed van Leeuwen’s Multimodal Discourse Analysis and Yuen’s Generic Structure Potential as theoretical anchor. The multimodal communicative acts are deployed for instructive, illustrative, informative, persuasive, inviting and advisory purposes. Categories such as Lead, Emblem, Announcement and Enhancer are compulsory in the data while Display, Tag and Call-and-Visit Information are non-compulsory elements. This can be catalogued as: ‘Lead^(Display)^Emblem^(Announcement)^(Enhancer)^(Tag)^(Call-and-Visit Information)’. The study contends that the various semiotic resources deployed in the internet-circulated covid-19 images are used not only for informative and other communicative purposes but also to evoke attitudinal change towards and encourage widespread acceptance of the covid-19 vaccines.
Towards a new typology of comparative constructions in East Asian languages
Authors: Zhou Chenlei 
Published: January 2024

Abstract
This paper presents a typology that sheds light on the diversity and complexity of comparative constructions across languages. Specifically, this study focuses on topic-prominent comparatives, a newly discovered type of comparative construction commonly found in East Asian languages, providing a comprehensive analysis of their features and subtypes. Drawing from a wide range of East Asian languages, this study delineates three subtypes of topic-prominent comparatives: double-comparatum comparatives (‘Hair she is longer than me’), comparee-standard mismatched comparatives (‘Her hair is longer than me’), and standard-topic comparatives (‘My hair, her hair is longer’). Additionally, this study introduces a pair of new parameters: concrete measurement and abstract measurement of comparative degrees. Concrete measurement involves the use of precise numerical values or quantifiable units to make comparisons, such as three years in I am three years older than you. Conversely, abstract measurement involves the use of non-specific, relative terms to establish comparisons, such as much in I am much older than you. These parameters are positioned differently in some East Asian languages.
An Innovative Experimental Methodology for Testing Anisotropic Permeabilities of Formation Rocks
Authors: Sun Zhenjie , Wang Xiaoguang , Wang Yanyong , Zuo Yinhui 
Published: January 2024

Abstract
The permeability of reservoir rocks is a typical anisotropic property. Accurate testing and characterization of reservoir in situ anisotropic permeability is crucial for geo-energy applications including geothermal energy extraction, hydrocarbon reservoir development, coalbed methane production, and carbon dioxide geological sequestration. In this work, a novel experimental apparatus was designed to more precisely determine the permeability tensor of reservoir rocks. The device can independently apply stresses in different directions to simulate in situ reservoir stress conditions and reservoir temperatures. The experiment can accurately measure the principal components of the permeability tensor in three directions for rock samples while effectively avoiding experimental errors caused by internal structure damage during disassembly. Using the self-developed apparatus, anisotropic permeability tests were conducted on sandstone, shale, and coal samples. The results show that the three-dimensional permeability of rock samples under in situ reservoir stress conditions is lower than under isotropic stress conditions. However, the variation magnitude of the three-dimensional permeability differs between the three rock types because of lithological differences. This confirms the difference in data between the proposed anisotropic permeability test method and other traditional methods. We also observed that for rocks without distinct oriented internal structures like sandstone, anisotropic permeability is more sensitive to (normal) stress changes. In contrast, for rocks with oriented pore structures such as shale and coal, the degree of anisotropic permeability is less sensitive to (normal) stress changes. The proposed novel anisotropic permeability test method obtains more accurate and realistic data under simulated in situ stress conditions compared with existing methods. It can evaluate rock properties and optimize geothermal or hydrocarbon production well designs to improve production efficiency.
The peace movement and politics in Germany — the original ideas and self-awareness of peace advocates in both German states
Authors: Frey Ulrich 
Published: January 2024

The article presents an attempt at historical understanding of the experience gained by a united Germany, extracted from the idea of peace, both at the state and at the public level, with its own German characteristics — East and West Germany. The evangelical churches in the Federal Republic of Germany and the German Democratic Republic perceived the nuclear threat as a casus confessionis and led the fight against it.
Moral Injury among Transplant Providers: Evaluating the Effects of Training in End-of-Life Counseling
Authors: David Hannah , Rosell Tarris , Hughes Dorothy 
Published: January 2024

Introduction. Ethical issues are pervasive in healthcare, but few specialties rival the moral complexity of transplant medicine. Transplant providers must regularly inform patients that they are no longer eligible to receive a potentially life-saving operation and the stress of these conversations poses a high risk of moral injury. Training in end of life counseling (EOLC) has been shown to significantly reduce provider stress and burnout. We hypothesized that training in EOLC reduces levels of moral injury among transplant providers.
Methods. This was a mixed methods study. A survey was administered to staff in the solid organ transplant department at the University of Kansas Health System. Providers indicated whether they had received training in EOLC and completed the standardized Moral Injury Symptom Scale-Healthcare Professionals version (MISS-HP). A two-sample, one-sided t-test compared levels of moral injury between trained and untrained staff. Subsequently, semi-structured interviews were conducted with transplant providers, and inductive coding followed by thematic network analysis was performed.
Results. Thirty-seven percent of respondents reported a moral injury score at or above the threshold for psychosocial dysfunctioning associated with moral injury. Analysis revealed no difference in moral injury scores between the trained and untrained groups (p=0.362, power=0.842). Ten participants were interviewed. Thematic network analysis demonstrated high-level themes of “challenges”, “training” and “stress relief”.
Conclusions. Our study demonstrated a concerning prevalence of moral injury among transplant providers and suggested that EOLC training does not significantly mitigate the threat of moral injury.
Diálogos entre a Teologia e Tecnologia: sistemas simbólicos da mediasfera digital (Diálogos entre teología y tecnología: sistemas simbólicos en la mediasfera digital)
Authors: Figueiredo Rodrigues Luís M. 
Published: January 2024

Resumo
Este artigo reflete sobre o impacto que o mundo digital tem no quotidiano dos indivíduos, procurando identificar caminhos que promovam a capacidade de viver com sabedoria, pensar em profundidade e amar com generosidade (cf. Laudato Si’, 47). Parte de uma reflexão epistemológica que permita abordar este assunto na perspetiva teológica, vendo até que ponto o discurso religioso pode contribuir para uma ecologia sustentável. A resposta a este desafio é possibilitada pela abordagem simbólica da mediasfera digital, refletida a partir do pensamento de Marshal McLuhan e Roland Barthes, onde o “meio” e o “mito” são vistos como o suporte da comunicação.
Resumen
Este artículo reflexiona sobre el impacto que el mundo digital tiene en la vida cotidiana de las personas, tratando de identificar formas de promover la capacidad de vivir con sabiduría, pensar profundamente y amar con generosidad (cf. Laudato Si', 47). Parte de una reflexión epistemológica que permite abordar este tema desde una perspectiva teológica, viendo en qué medida el discurso religioso puede contribuir a una ecología sostenible. La respuesta a este reto es posible gracias al enfoque simbólico de la mediateca digital, reflejado en el pensamiento de Marshal McLuhan y Roland Barthes, donde el "medio" y el "mito" se consideran el soporte de la comunicación.
El estudio de la asignatura de Derecho Canónico en los planes de estudio de Derecho, especial relevancia en las universidades de la Comunidad de Madrid
Authors: Talavero Cabrera Víctor , Sánchez-Cabezudo Rina Tiffany 
Published: January 2024

El Derecho Canónico es un cuerpo legal que regula la organización y el funcionamiento de la Iglesia Católica y que, durante muchos años, se ha estudiado como asignatura obligatoria en las Facultades de Ciencias Sociales y Jurídicas. El estudio de la asignatura ha quedado relegado y, en muchas universidades, no se imparte o, si se imparte, es optativa.
La finalidad de este trabajo de investigación es realizar un estudio sobre la representación e inclusión de esta asignatura en los nuevos planes de estudio de las universidades de la Comunidad de Madrid.
El objetivo principal es abordar la importancia del Derecho Canónico en la formación de los juristas y, asimismo, analizar las posibles razones que podrían explicar esta tendencia en los planes de estudio.