bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment and Outcome of Anterior Inferior Cerebellar Artery (AICA) Aneurysms: Helsinki Series of 15 Consecutive Patients
Authors: Muhammad Sajjad , Hafez Ahmad , Kaukovalta Hanna , Jahromi Behnam Rezai , Kivisaari Riku , Hänggi Daniel , Niemelä Mika 
Published: March 2023

Abstract
Objective Anterior inferior cerebellar artery (AICA) aneurysms are rare posterior circulation lesions that are challenging to treat. This article presents the treatment and clinical outcome of AICA aneurysms in an unselected cohort of patients.
Methods A retrospective analysis of patient record files, digital subtraction angiography, and computed tomography angiography images of 15 consecutive patients harboring AICA aneurysms treated between 1968 and 2017.
Results Of the 15 AICA aneurysm patients reviewed, 12 (80%) were females. Twenty percent had intracerebral hemorrhage and 40% presented with intraventricular hemorrhage. Eleven out of 15 (73%) patients presented with subarachnoid hemorrhage (SAH); 82% of SAH patients had a good-grade SAH (Hunt and Hess grade 1–3). Eleven patients (73%) were treated surgically, three (20%) were treated conservatively, and one (7%) had coil embolization. In 27% of patients, a subtemporal approach with anterior petrosectomy was performed. A retrosigmoid approach was used in the remaining 73%. In 18% of the patients, a parent vessel occlusion was necessary to occlude the aneurysm. Five out of 11 (47%) of the patients developed postoperative cranial nerve deficits. Twenty-seven percent developed shunt-dependent hydrocephalus. All patients who presented with an unruptured AICA aneurysm had good clinical outcome (modified Rankin scale [mRS] 1–2). In patients with SAH, 82% achieved good clinical outcome and 18% had poor clinical outcome (mRS 3–6) after 1 year.
Conclusion Surgical treatment of AICA aneurysms has a high rate of cranial nerve deficits but most of patients have a good long-term clinical outcome.
Does historical data still matter for demand forecasting in uncertain and turbulent times? An extension of the additive pickup time series method for SME hotels
Authors: Heo Cindy Yoonjoung , Viverit Luciano , Pereira Luís Nobre 
Published: March 2023

Abstract Demand forecast accuracy is critical for hotels to operate their properties efficiently and profitably. The COVID-19 pandemic is a massive challenge for hotel demand forecasting due to the relevance of historical data. Therefore, the aims of this study are twofold: to present an extension of the additive pickup method using time series and moving averages; and to test the model using the real reservation data of a hotel in Italy during the COVID-19 pandemic. This study shows that historical data are still useful for a SME hotel amid substantial demand uncertainty caused by COVID-19. Empirical results suggest that the proposed method performs better than the classical one, particularly for longer forecasting horizons and for periods when the hotel is not fully occupied.
Dizziness and vestibular disease among hospitalized and outpatients in the U.S. commonwealth of Virginia and the Tidewater region
Authors: Guy Kevin M. , Walker Kendra N. , Volsky Peter G. 
Published: March 2023

Objective
Vestibular disease and dizziness are important causes of morbidity. The purpose of this study is to assess the regional prevalence of these diagnoses.

Methods
This is a cross-sectional, population-based study of all patients in the region of interest diagnosed with dizziness or vestibular disease between 2010 and 2020.

Results
During the study period, 31,670 patients were diagnosed with dizziness. The mean age was 62 years (SD = 17). There were 20,269 females and 11,401 males; 64% (OR 1.34, p < .0001) of patients were white and 92% (OR 5.16, p < .0001) of patients were non-Hispanic. The prevalence of dizziness was 2.91%. A total of 8480 patients were diagnosed with vestibular disease. The mean age was 62 years (SD = 16). There were 5766 females and 2714 males; 60% (OR 1.13 p < .0001) of patients were white and 88% (OR 3.29, p < .0001) of patients were non-Hispanic. The prevalence of vestibular disease was 0.78%. The most common causes of vestibular disease were benign paroxysmal positional vertigo (n = 7040, 83%), vestibular schwannoma (n = 580, 7%), and Meniere’s disease (n = 360, 4%).

Conclusions
Dizziness and vestibular disease are disproportionately diagnosed in non-Hispanic white women. The regional prevalence of dizziness and vestibular disease was lower than other published values.
Dynamic Alterations in Cerebral Hemodynamics Measured by Portable Near-Infrared Spectroscopy in Orthostatic Hypotension and Intolerance
Authors: Kim Jae-Myoung , Park Kyung-Il , Choi Su-Yeon , Park Hyo Eun , Lee Heesun , Bae Hyeon-Min 
Published: March 2023

Abstract

Background
We aimed to evaluate dynamic alterations in cerebral total hemoglobin concentration (HbT) in individuals with orthostatic hypotension (OH) and orthostatic intolerance (OI) symptoms using a portable near-infrared spectroscopy (NIRS) system.

Methods
Participants comprised 238 individuals (mean age, 47.9 years) without a history of cardiovascular, neurodegenerative, or cerebrovascular diseases, including those with unexplained OI symptoms and healthy volunteers. Participants were categorized by the presence of OH based on the supine-to-stand blood pressure (BP) drop and OI symptoms using on OH questionnaires: classic OH (OH-BP), OH symptoms alone (OH-Sx), and control groups. Random case–control matching sets were constructed, resulting in 16 OH-BP and 69 OH-Sx-control sets. The time-derivative of HbT change in the prefrontal cortex during the squat-to-stand maneuver was measured using a portable NIRS system.

Results
There were no differences in demographics, baseline BP, and heart rate among matched sets. The peak time of maximum slope variation in HbT change, indicating the recovery rate and speed of cerebral blood volume (CBV) change, was significantly longer in OH-Sx and OH-BP groups than in the control group under transition to a standing position after squatting. In the OH-BP subgrouping, the peak time of maximum slope variation in HbT change was significantly longer only in OH-BP with OI symptoms, but did not differ between OH-BP without OI symptoms and controls.

Conclusions
Our results suggest that OH and OI symptoms are associated with dynamic alterations in cerebral HbT. Regardless of the severity of the postural BP drop, OI symptoms are associated with prolonged CBV recovery.
Clinal variations in seedling traits and responses to water availability correspond to seed-source environmental gradients in a foundational dryland tree species
Authors: Vasey Georgia L , Urza Alexandra K , Chambers Jeanne C , Pringle Elizabeth G , Weisberg Peter J 
Published: March 2023

Abstract

Background and Aims
In dryland ecosystems, conifer species are threatened by more frequent and severe droughts, which can push species beyond their physiological limits. Adequate seedling establishment will be critical for future resilience to global change. We used a common garden glasshouse experiment to determine how seedling functional trait expression and plasticity varied among seed sources in response to a gradient of water availability, focusing on a foundational dryland tree species of the western USA, Pinus monophylla. We hypothesized that the expression of growth-related seedling traits would show patterns consistent with local adaptation, given clinal variation among seed source environments.

Methods
We collected P. monophylla seeds from 23 sites distributed across rangewide gradients of aridity and seasonal moisture availability. A total of 3320 seedlings were propagated with four watering treatments representing progressively decreasing water availability. Above- and below-ground growth-related traits of first-year seedlings were measured. Trait values and trait plasticity, here representing the degree of variation among watering treatments, were modelled as a function of watering treatment and environmental conditions at the seed source locations (i.e. water availability, precipitation seasonality).

Key Results
We found that, under all treatments, seedlings from more arid climates had larger above- and below-ground biomass compared to seedlings from sites experiencing lower growing-season water limitation, even after accounting for differences in seed size. Additionally, trait plasticity in response to watering treatments was greatest for seedlings from summer-wet sites that experience periodic monsoonal rain events.

Conclusions
Our results show that P. monophylla seedlings respond to drought through plasticity in multiple traits, but variation in trait responses suggests that different populations are likely to respond uniquely to changes in local climate. Such trait diversity will probably influence the potential for future seedling recruitment in woodlands that are projected to experience extensive drought-related tree mortality.
Multi-omics studies in interpreting the evolving standard model for immune functions
Authors: Ganguly Dipyaman 
Published: March 2023

Abstract
A standard model that is able to generalize data on myriad involvement of the immune system in organismal physio-pathology and to provide a unified evolutionary teleology for immune functions in multicellular organisms remains elusive. A number of such ‘general theories of immunity’ have been proposed based on contemporaneously available data, starting with the usual description of self–nonself discrimination, followed by the ‘danger model’ and the more recent ‘discontinuity theory.’ More recent data deluge on involvement of immune mechanisms in a wide variety of clinical contexts, a number of which fail to get readily accommodated into the available teleologic standard models, makes deriving a standard model of immunity more challenging. But technological advances enabling multi-omics investigations into an ongoing immune response, covering genome, epigenome, coding and regulatory transcriptome, proteome, metabolome and tissue-resident microbiome, bring newer opportunities for developing a more integrative insight into immunocellular mechanisms within different clinical contexts. The new ability to map the heterogeneity of composition, trajectory and endpoints of immune responses, in both health and disease, also necessitates incorporation into the potential standard model of immune functions, which again can only be achieved through multi-omics probing of immune responses and integrated analyses of the multi-dimensional data.
Oligo-Miocene radiation within South-west Pacific arc terranes underpinned repeated upstream continental dispersals in pigeons (Columbiformes)
Authors: Oliver Paul M , Hugall Andrew F , Prasteya Audrey , Slavenko Alex , Zahirovic Sabin 
Published: March 2023

AbstractUpstream colonizations from islands to continents have played an important role in two major global bird radiations: the oscine passerines and the pigeons. Here, we investigate insular diversification and upstream dispersal dynamics of pigeons (Columbiformes) within the Indo-Australian Archipelago using a supermatrix fossil-calibrated phylogeny and model-based biogeographical analyses. These analyses show that the islands of Melanesia, now centred on New Guinea and considered separately from Australia, have been a centre of pigeon diversification since the Eocene–Oligocene transition (~34 Mya). Geological reconstructions are concordant in suggesting that arc terranes and continental ribbon fragments that underpin the contemporary Melanesian region might have formed extensive archipelagos for much of the Oligocene and Miocene. These islands are also inferred to have functioned as a net source of pigeon lineages for Asia and especially Australia. Arboreal fruit-eating pigeons have colonized nearby continents on multiple occasions yet show little evidence of subsequent radiation. Insular terrestrial pigeons have been largely unable to colonize Asia, and a single Miocene colonization of Australia preceded an endemic radiation. Upstream dispersal may well be a frequent process in the history of the Indo-Australian Archipelago and surrounds, however ecological and environmental factors likely place strong constraints on its success and evolutionary outcomes.
Isavuconazole in the Treatment of Chronic Forms of Coccidioidomycosis
Authors: Heidari Arash , Sharma Rupam , Shakir Qusai , Shah Madiha , Clement Josh , Donnelley Monica A , Reynolds Trina , Trigg Kate , Jolliff Jeff , Kuran Rasha , Johnson Royce , Thompson George R 
Published: March 2023

Abstract
Coccidioidomycosis is a fungal infection with a range of clinical manifestations. Currently used antifungal agents exhibit variable efficacy and toxicity profiles that necessitate evaluation of additional therapeutic options. Improvement was observed in the majority of patients treated with isavuconazole, with clinical failures observed only in those with coccidioidal meningitis.
Effect of ultrafiltration on cerebral small-vessel disease and related outcomes in hemodialysis
Authors: Shi Lin , Zheng Ke , Qian Yujun , Han Fei , You Hui , Yuan Jing , Wang Haiyun , Song Dan , Zhang Dingding , Feng Feng , Zhu Yicheng , Li Xuemei 
Published: March 2023

ABSTRACT

Background
Increasing evidence suggests a high prevalence of cerebral small-vessel disease (CSVD) in hemodialysis patients. Variable ultrafiltration during hemodialysis may contribute to brain lesions by inducing hemodynamic instability. We aimed to investigate the effect of ultrafiltration on CSVD and relative outcome in this population.

Methods
In a prospective cohort of maintenance hemodialysis adults, three features of CSVD including cerebral microbleed (CMB), lacunae and white matter hyperintensity (WMH) were measured by brain magnetic resonance imaging. Ultrafiltration parameters included the difference between annual average ultrafiltration volume (UV, kg) and 3%–6% of dry weight (kg), respectively, and the percentage of UV to dry weight (UV/W). The effect of ultrafiltration on CSVD and the risk of cognitive decline were investigated by multivariate regression analysis. Cox proportional hazards model was used to assess mortality over 7 years of follow-up.

Results
In the 119 study subjects, the frequency of CMB, lacunae and WMH was 35.3%, 28.6% and 38.7%, respectively. All ultrafiltration parameters were associated with the risk of CSVD in the adjusted model. There was a 37%, 47% and 41% greater risk of CMB, lacunae, and WMH, respectively, per 1% increment of UV/W. Ultrafiltration showed different effects on different distributions of CSVD. Restricted cubic splines depicted a linear relationship between UV/W and the risk of CSVD. At follow-up, lacunae and WMH were associated with cognitive decline, CMB and lacunae were associated with all-cause mortality.

Conclusions
UV/W was associated with the risk of CSVD in hemodialysis. Reducing UV/W might protect hemodialysis patients from CSVD and subsequent cognitive decline and mortality.
Reliability Evaluation Of Multiprocessor System Based On The Balanced Complete Multipartite Graphs
Authors: Yu Zhecheng , Xu Liqiong 
Published: March 2023

Abstract
Reliability evaluation of multiprocessor systems is of significant importance in the design and maintenance of multiprocessor systems. Based on edge-connectivity, more refined quantitative indicators for the reliability of multiprocessor systems have been introduced. The extra edge-connectivity and the component edge-connectivity, as two important parameters to evaluate the robustness of multiprocessor systems, are explored extensively. In this paper, we determine the $h$-extra edge-connectivity and the $(g+1)$-component edge-connectivity of the balanced complete $t$-partite graph $K_{r}^{t}$ for $t, r\geq 2$, where $1\leq h \leq \lfloor tr/2 \rfloor$ and $2\leq g \leq tr-1$.
Model selection for varying coefficient nonparametric transformation model
Authors: Zhang Xiao , Liu Xu , Shi Xingjie 
Published: March 2023

SummaryBased on the smoothed partial rank (SPR) loss function, we propose a group LASSO penalized SPR estimator for the varying coefficient nonparametric transformation models, and derive its estimation and model selection consistencies. It not only selects important variables, but is also able to select between varying and constant coefficients. To deal with the computational challenges in the rank loss function, we develop a group forward and backward stagewise algorithm and establish its convergence property. An empirical application of a Boston housing dataset demonstrates the benefit of the proposed estimators. It allows us to capture the heterogeneous marginal effects of high-dimensional covariates and reduce model misspecification simultaneously that otherwise cannot be accomplished by existing approaches.
Causal inference and data fusion in econometrics
Authors: Hünermund Paul , Bareinboim Elias 
Published: March 2023

Summary
Learning about cause and effect is arguably the main goal in applied econometrics. In practice, the validity of these causal inferences is contingent on a number of critical assumptions regarding the type of data that has been collected, and the substantive knowledge that is available about the phenomenon under investigation. For instance, unobserved confounding factors threaten the internal validity of estimates; data availability is often limited to nonrandom, selection-biased samples; causal effects need to be learned from surrogate experiments with imperfect compliance; and causal knowledge has to be extrapolated across structurally heterogeneous populations. A powerful and flexible causal inference framework is required in order to tackle all of these challenges, which plague essentially any data analysis to varying degrees. Building on the structural perspective on causality introduced by Haavelmo (1943) and the graph-theoretic approach proposed by Pearl (1995), the artificial intelligence (AI) literature has developed a wide array of techniques for causal inference that allow us to leverage information from various imperfect, heterogeneous, and biased data sources (Bareinboim and Pearl, 2016). In this paper, we review recent advances made in this literature that have the potential to contribute to econometric methodology along three broad dimensions. First, they provide a unified and comprehensive framework for causal learning, in which the above-mentioned problems can be addressed in generality. Second, due to their origin in AI, they come together with sound, efficient, and complete (to be formally defined) algorithmic criteria for automation of the corresponding identification task. And third, because of the nonparametric description of structural models that graph-theoretic approaches build on, they combine the analytical rigor of structural econometrics with the flexibility of the potential outcomes framework, and thus offer a valuable complement to these two literature streams.
Cardiac rehabilitation for heart failure: ‘Cinderella’ or evidence-based pillar of care?
Authors: Taylor Rod S , Dalal Hasnain M , Zwisler Ann-Dorthe 
Published: March 2023

Abstract
Cardiac rehabilitation remains the ‘Cinderella’ of treatments for heart failure. This state-of-the-art review provides a contemporary update on the evidence base, clinical guidance, and status of cardiac rehabilitation delivery for patients with heart failure. Given that cardiac rehabilitation participation results in important improvements in patient outcomes, including health-related quality of life, this review argues that an exercise-based rehabilitation is a key pillar of heart failure management alongside drug and medical device provision. To drive future improvements in access and uptake, health services should offer heart failure patients a choice of evidence-based modes of rehabilitation delivery, including home, supported by digital technology, alongside traditional centre-based programmes (or combinations of modes, ‘hybrid’) and according to stage of disease and patient preference.
Central and Eastern European migrant worker status, co-living situation and SARS-CoV-2 exposure and transmission risk
Authors: Boogaard L H , Hautvast J L A , Timen A , van Jaarsveld C H M 
Published: March 2023

AbstractBackgroundCentral and Eastern European (CEE) migrant workers in essential industries are at higher risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure and transmission. We investigated the relationship of CEE migrant status and co-living situation with indicators of SARS-CoV-2 exposure and transmission risk (ETR), aiming to find entry points for policies to reduce health inequalities for migrant workers.MethodsWe included 563 SARS-CoV-2-positive workers between October 2020 and July 2021. Data on ETR indicators were obtained from source- and contact-tracing interviews via retrospective analysis of medical records. Associations of CEE migrant status and co-living situation with ETR indicators were analyzed using chi-square tests and multivariate logistic regression analyses.ResultsCEE migrant status was not associated with occupational ETR but was with higher occupational-domestic exposure [odds ratio (OR) 2.92; P = 0.004], lower domestic exposure (OR 0.25, P &lt; 0.001), lower community exposure (OR 0.41, P = 0.050) and transmission (OR 0.40, P = 0.032) and higher general transmission (OR 1.76, P = 0.004) risk. Co-living was not associated with occupational and community ETR but was with higher occupational-domestic exposure (OR 2.63, P = 0.032), higher domestic transmission (OR 17.12, P &lt; 0.001) and lower general exposure (OR 0.34, P = 0.007) risk.ConclusionsThe workfloor poses an equal SARS-CoV-2 ETR for all workers. CEE migrants encounter less ETR in their community but pose a general risk by delaying testing. When co-living, CEE migrants encounter more domestic ETR. Coronavirus disease preventive policies should aim at occupational safety for essential industry workers, reduction of test delay for CEE migrants and improvement of distancing options when co-living.