bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sports activity and quality of life improve after isolated ACL, isolated PCL, and combined ACL/PCL reconstruction
Authors: Winkler Philipp W. , Zsidai Bálint , Narup Eric , Kaarre Janina , Horvath Alexandra , Sansone Mikael , Svantesson Eleonor , Senorski Eric Hamrin , Musahl Volker , Samuelsson Kristian 
Published: July 2022

Abstract
Purpose
To compare patient-reported outcomes following isolated anterior cruciate ligament reconstruction (ACL-R), isolated posterior cruciate ligament reconstruction (PCL-R), and combined ACL-R and PCL-R (ACL/PCL-R), at a minimum follow-up of 2 years.

Methods
This was a prospective observational registry cohort study based on the Swedish National Knee Ligament Registry. Patients undergoing isolated ACL-R, isolated PCL-R, and combined ACL/PCL-R between 2005 and 2019 were eligible for inclusion. Demographic characteristics as well as injury- and surgery-related data were queried from the SNKLR. To evaluate functional outcomes, the Knee Injury and Osteoarthritis Outcome Score (KOOS) was collected preoperatively and at 1- and 2-year follow-ups and compared between the treatment groups.

Results
In total, 45,169 patients underwent isolated ACL-R, 192 patients isolated PCL-R, and 203 patients combined ACL/PCL-R. Preoperatively, and at the 1- and 2-year follow-ups, KOOS subscales were highest for the isolated ACL-R group, followed by the isolated PCL-R, and lowest for the combined ACL/PCL-R groups. Significant improvements were observed across all treatment groups in the majority of KOOS subscales between the preoperative, and 1- and 2-year follow-ups. All treatment groups showed the greatest improvements between the preoperative and 2-year follow-ups in the knee-related quality of life (mean improvement: isolated ACL-R, + 28 points; isolated PCL-R, + 23 points; combined ACL/PCL-R, + 21 points) and the function in sport and recreation (mean improvement: isolated ACL-R, + 26 points; isolated PCL-R, + 20 points; combined ACL/PCL-R, + 19 points) subscales.

Conclusion
Clinically relevant improvements in knee function can be expected after isolated ACL-R, isolated PCL-R, and combined ACL/PCL-R. Functional improvements were particularly pronounced in the KOOS function in sport and recreation subscale, indicating the importance of knee stability for sports activity. This study facilitates more comprehensive patient education about functional expectations after surgical treatment of isolated and combined ACL and PCL injuries.

Level of evidence
Level 2.
Historical local industry structure, voting patterns and the long-run entrepreneurial character of regions: Swedish examples
Authors: Andersson Martin , Larsson Johan P. 
Published: July 2022

AbstractSpatial variations in rates of new firm formation are large and spatially persistent over long periods of time. A common explanation of this empirical regularity is so-called local entrepreneurship cultures, which refer to spatially embedded social characteristics that change in slow processes. This paper discusses perspectives on the development of such cultures and focuses on the role of historical industry structures in forming the long-run entrepreneurial character of regions. To illustrate the empirical relevance of arguments and findings in the literature, we use historical data on voting patterns in municipalities in Sweden, as well as indications of their early industrial concentrations, and assess their correlations with present-day entrepreneurial activity. We show that places with a high share of left-wing votes in the period 1917–1948 and early historical presence of heavy industry have lower rates of new firm formation, less positive public attitudes toward entrepreneurship as well as larger average establishment sizes in the twenty-first century. The empirical patterns are consistent with the argument that regions’ historical industry structure is one factor that influences the development of local entrepreneurship cultures.
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data
Authors: Weisser Christoph , Gerloff Christoph , Thielmann Anton , Python Andre , Reuter Arik , Kneib Thomas , Säfken Benjamin 
Published: July 2022

AbstractTopic models are a useful and popular method to find latent topics of documents. However, the short and sparse texts in social media micro-blogs such as Twitter are challenging for the most commonly used Latent Dirichlet Allocation (LDA) topic model. We compare the performance of the standard LDA topic model with the Gibbs Sampler Dirichlet Multinomial Model (GSDMM) and the Gamma Poisson Mixture Model (GPM), which are specifically designed for sparse data. To compare the performance of the three models, we propose the simulation of pseudo-documents as a novel evaluation method. In a case study with short and sparse text, the models are evaluated on tweets filtered by keywords relating to the Covid-19 pandemic. We find that standard coherence scores that are often used for the evaluation of topic models perform poorly as an evaluation metric. The results of our simulation-based approach suggest that the GSDMM and GPM topic models may generate better topics than the standard LDA model.
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression
Authors: Chen Zezhun , Dassios Angelos , Tzougas George 
Published: July 2022

AbstractIn this paper, we present a novel family of multivariate mixed Poisson-Generalized Inverse Gaussian INAR(1), MMPGIG-INAR(1), regression models for modelling time series of overdispersed count response variables in a versatile manner. The statistical properties associated with the proposed family of models are discussed and we derive the joint distribution of innovations across all the sequences. Finally, for illustrative purposes different members of the MMPGIG-INAR(1) class are fitted to Local Government Property Insurance Fund data from the state of Wisconsin via maximum likelihood estimation.
A synthetic likelihood approach for intractable markov random fields
Authors: Zhu Wanchuang , Fan Yanan 
Published: July 2022

AbstractWe propose a new scalable method to approximate the intractable likelihood of the Potts model. The method decomposes the original likelihood into products of many low-dimensional conditional terms, and a Monte Carlo method is then proposed to approximate each of the small terms using their corresponding (exact) Multinomial distribution. The resulting tractable synthetic likelihood then serves as an approximation to the true likelihood. The method is scalable with respect to lattice size and can also be used for problems with irregular lattices. We provide theoretical justifications for our approach, and carry out extensive simulation studies, which show that our method performs at least as well as existing methods, whilst providing significant computational savings, up to ten times faster than the current fastest method. Finally, we include three real data applications for illustration.
Bequests or education
Authors: Dávila Julio 
Published: July 2022

AbstractThis paper shows that, when parents can endow their offspring with bequests and human capital, markets cannot deliver (generically under laissez-faire) the planner’s choice, if educational investments affect total factor productivity—as empirical evidence establishes. Moreover, for a human capital production function close enough to affine (around market and planner steady states with similar fertilities), the market steady state wage is higher than the marginal productivity of labor at the planner’s steady state, so that the market steady state human capital is too low. In other words, the market misses the planner’s allocation by leading households to transfer to their offspring more in bequests and less in education than would be optimal. These results obtain in spite of parents perfectly internalising (1) the value for their children of their bequests and educational investment, but not (2) the externality on total factor productivity—nor hence on factor prices. The planner’s allocation can, nonetheless, be decentralised subsidising labor income through a lump-sum tax on saving returns that reduces bequests. An estimate of the subsidy needed—for standard functional forms and parameter values estimated from US data—suggests a sizeable market inefficiency.
Evaluation of the synergistic effect of plant-based components on the stability of curcuminoid emulsion
Authors: Le-Tan Hoang , Fauster Thomas , Haas Klara , Jaeger Henry 
Published: July 2022

AbstractIn this study, the effect of matrix compounds from natural curcuminoid resources on the stability of curcuminoids and emulsions thereof was evaluated. Curcuminoid emulsions were prepared curcuminoid rich sources (curcuminoid extract, an aqueous turmeric concentrate and turmeric powder) with medium-chain triglyceride oil as lipid phase, lecithin, and pectin as emulsifiers. The curcuminoid emulsions were exposed to light in the visible wavelength range (300 nm–800 nm) at the specific energy input of 0.47 kW/m2 for 7 days and to the temperature of 4 °C, 25 °C, 40 °C for 49 days. The total curcuminoid retention (TC), droplet size (DS) change, instability index (InI), and yellowness reduction (YR) was observed during the storage time. The half-life of curcuminoids in emulsions was increased to 21 h, while the half-life of free curcuminoids was 1.3 h in the light exposure test. The co-compounds from the curcuminoid sources contributed to the emulsion stability by increasing the viscosity. In the thermal exposure test, the matrix compound system retained more than 93% curcuminoids after 49 days of storage at 40 °C, whereas the phase separation increased significantly. However, the TC reduction was independent of the InI change and droplet agglomeration. The YR depended on the TC and the amount of co-components in the emulsion.
Cytotoxic lesions of the corpus callosum after COVID-19 vaccination
Authors: Ohara Hiroya , Shimizu Hironori , Kasamatsu Takehito , Kajita Akihiro , Uno Kenji , Lai Khin Wee , Vellingiri Balachandar , Sugie Kazuma , Kinoshita Masako 
Published: July 2022

AbstractA 23-year-old previously healthy man (Patient 1) and a 33-year-old woman with a past history of depression (Patient 2) developed neurological symptoms approximately 1 week after receipt of the first COVID-19 mRNA vaccination and deteriorated over the next week. Patient 1 reported nausea, headache, a high fever, and retrograde amnesia. Patient 2 reported visual disturbance, headache, dysarthria, a left forearm tremor, dysesthesia of the mouth and distal limbs, and visual agnosia. PCR test results for SARS-CoV-2 were negative. Complete blood cell count, biochemistry, and antibody test and cerebrospinal fluid test findings were unremarkable. Diffusion-weighted and fluid-attenuated inversion recovery MRI of the brain showed a high signal intensity lesion at the midline of the splenium of the corpus callosum compatible with cytotoxic lesions of the corpus callosum (CLOCCs). High-dose intravenous methylprednisolone improved their symptoms and imaging findings. CLOCCs should be considered in patients with neurological manifestation after COVID-19 vaccination.
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
Authors: Visvikis Dimitris , Lambin Philippe , Beuschau Mauridsen Kim , Hustinx Roland , Lassmann Michael , Rischpler Christoph , Shi Kuangyu , Pruim Jan 
Published: July 2022

Abstract
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.
Impact of Frailty on Short‐Term Outcomes After Laparoscopic and Open Hepatectomy
Authors: Osei‐Bordom D. , Hall L. , Hodson J. , Joshi K. , Austen L. , Bartlett D. , Isaac J. , Mirza D. F. , Marudanayagam R. , Roberts K. , Dasari B. V. , Chatzizacharias N. , Sutcliffe R. P. 
Published: July 2022

AbstractBackgroundAlthough laparoscopic hepatectomy (LH) is associated with improved short‐term outcomes compared to open hepatectomy (OH), it is unknown whether frail patients also benefit from LH. The aim of this study was to evaluate the impact of frailty on post‐operative outcomes after LH and OH.Patients and methodsConsecutive patients who underwent LH and OH between January 2011 and December 2018 were identified from a prospective database. Frailty was assessed using the modified Frailty Index (mFI), with patients scoring mFI ≥ 1 deemed to be frail.ResultsOf 1826 patients, 34.7% (N = 634) were frail and 18.6% (N = 340) were elderly (≥ 75 years). Frail patients had significantly higher 90‐day mortality (6.6% vs. 2.9%, p < 0.001) and post‐operative complications (36.3% vs. 26.1%, p < 0.001) than those who were not frail, effects that were independent of patient age on multivariate analysis. For those undergoing minor resections, the benefits of LH vs. OH were similar for frail and non‐frail patients. Length of hospital stay was 53% longer in OH (vs. LH) in frail patients, compared to 58% longer in the subgroup of non‐frail patients.ConclusionsFrailty is independently associated with inferior post‐operative outcomes in patients undergoing hepatectomy. However, the benefits of laparoscopic (compared to open) hepatectomy are similar for frail and non‐frail patients. Frailty should not be a contraindication to laparoscopic minor hepatectomy in carefully selected patients.
Fully implicit, stabilised, three-field material point method for dynamic coupled problems
Authors: Zheng Xiangcou , Pisanò Federico , Vardon Philip J. , Hicks Michael A. 
Published: July 2022

AbstractThis study presents the formulation and implementation of a fully implicit stabilised Material Point Method (MPM) for dynamic problems in two-phase porous media. In particular, the proposed method is built on a three-field formulation of the governing conservation laws, which uses solid displacement, pore pressure and fluid displacement as primary variables (u–p–Uformulation). Stress oscillations associated with grid-crossing and pore pressure instabilities near the undrained/incompressible limit are mitigated by implementing enhanced shape functions according to the Generalised Interpolation Material Point (GIMP) method, as well as a patch recovery of pore pressures – from background nodes to material points – based on the same Moving Least Square Approximation (MLSA) approach investigated by Zheng et al. [1]. The accuracy and computational convenience of the proposed method are discussed with reference to several poroelastic verification examples, spanning different regimes of material deformation (small versus large) and dynamic motion (slow versus fast). The computational performance of the proposed method in combination with the PARDISO solver for the discrete linear system is also compared to explicit MPM modelling [1] in terms of accuracy, convergence rate, and computation time.
Stabilization of spherical videos based on feature uncertainty
Authors: Luchetti A. , Zanetti M. , Kalkofen D. , De Cecco M. 
Published: July 2022

AbstractNowadays the trend is to acquire and share information in an immersive and natural way with new technologies such as Virtual Reality (VR) and 360$$^{\circ }$$∘video. However, the use of 360$$^{\circ }$$∘video, even more the use of VR head-mounted display, can generate general discomfort (“cybersickness”) and one factor is the video shaking. In this work, we developed a method to make the viewing of 360$$^{\circ }$$∘video smoother and more comfortable to watch. First, the rotations are obtained with an innovative technique using a Particle Swarm Optimization algorithm considering the uncertainty estimation among features. In addition, a modified Chauvenet criterion is used to find and suppress outliers features from the algorithm. Afterward, a time-weighted color filter is applied to each frame in order to handle also videos with small translational jitter, rolling shutter wobble, parallax, and lens deformation. Thanks to our complete offline stabilization process, we achieved good-quality results in terms of video stabilization. Achieving better robustness compared to other works. The method was validated using virtual and real 360$$^{\circ }$$∘video data of a mine environment acquired by a drone. Finally, a user study based on a subjective and standard Simulator Sickness Questionnaire was submitted to quantify simulator sickness before and after the stabilization process. The questionnaire underlined alleviation of cybersickness using stabilized videos with our approach
Snow depth and snow cover over the Tibetan Plateau observed from space in against ERA5: matters of scale
Authors: Lei Yonghui , Pan Jinmei , Xiong Chuan , Jiang Lingmei , Shi Jiancheng 
Published: July 2022

AbstractThere has been a statement that the satellite and reanalyses significantly overestimate snow depths (SDs) as compared with in-situ observations over the Tibetan Plateau (TP). The inconsistency may be partly due to representations related to different spatial resolutions. To further clarify matters of scale, this work estimates and compares the fractional snow cover (FSC) from MODIS (500 m), SDs from Sentinel-1 C-band SAR (1 km), ERA5-Land (9 km) and ERA5 (31 km), together with ground observations from GHCN-D and at 6 newly-established stations in the Namco watershed. SD and FSC from MERRA-2 (50 km) are also discussed in comparison with ERA5s. Results indicate that SD from fine resolution reanalysis has better consistency to in-situ observations over the TP. SD of ERA5-Land matches in-situ measurements better than ERA5 and MERRA-2. Overestimates of SDs in reanalyses are likely for shallow snowpack. However, underestimates are found for deep snow particularly late in the snow season. Improvements are displayed in ERA5-Land, while increased SD is attributed by altitude in fine resolution. Overall SDs of ERA5 and ERA5-Land have similar spatial distributions and annual cycle patterns over the TP, consistent with satellite-based datasets. A notable defect of ERA5s is related to delayed ablation of deep snowpack during spring and early summer. It causes cold temperature biases at surface that may impact on the land-atmosphere interaction. Snow analysis that combines the information of FSC into SD has been demonstrated in MERRA-2 data. Snow analysis has the potential to improve SDs of ERA5s over the TP.
Association between dietary inflammatory index score and muscle mass and strength in older adults: a study from National Health and Nutrition Examination Survey (NHANES) 1999–2002
Authors: Chen Lingzhi , Ming Jingjing , Chen Tianyi , Hébert James R. , Sun Peng , Zhang Li , Wang Hongya , Wu Qingkuo , Zhang Cancan , Shivappa Nitin , Ban Bo 
Published: July 2022

Abstract
Purpose
Chronic low-grade systemic inflammation affects muscle protein metabolism. The dietary inflammatory index (DII®) is a tool designed to assess the inflammatory potential of the diet. The available data on the association between DII and sarcopenia are limited. We aimed to investigate the association of the DII with components of sarcopenia in individuals over 50 years of age.

Methods
This cross-sectional study used the National Health and Nutrition Examination Survey (NHANES) 1999–2002 dataset. Body composition was measured, and isokinetic strength of the knee extensors (peak force) was evaluated. Low muscle mass and strength were defined using sex-specific thresholds. Energy-adjusted DII (E-DII™) scores were calculated using 24-h dietary recall data. Regression models were fit to evaluate the association between E-DII scores and low muscle mass and low muscle strength, alone and combined.

Results
Mean age of study participants was 62.1 ± 9.5 years, and 138 participants (7.4%) belonged to the combination group of low muscle mass and low muscle strength. In multivariable-adjusted regression models, higher E-DII score was associated with lower appendicular skeletal muscle index (ASMI) (β =  − 0.03, P  < 0.001, P trend <0.001), and lower peak force (β =  −2.15, P  = 0.04, P trend = 0.01) and higher likelihood for these components combined (OR = 1.12, 95% CI 1.01–1.25, P = 0.03).

Conclusion
Higher E-DII score is associated with lower muscle mass and muscle strength, and increased likelihood for the combination of low muscle mass and low muscle strength in older adults. This has important implications for healthy aging.
RETRACTED ARTICLE: The impact of vitamin A supplementation on thyroid function and insulin sensitivity: implication of deiodinases and phosphoenolpyruvate carboxykinase in male Wistar rats
Authors: Saleh Samar R. , Zaki Rania , Hassan Radwa , El-Kersh Mohamed A. , El-Sayed Mohamed M. , Abd Elmoneam Alshimaa A. 
Published: July 2022

Abstract
Purpose
Vitamin A is an essential nutrient with vital biological functions. The present study investigated the effect of different doses of vitamin A palmitate at different time intervals on thyroid hormones and glycemic markers.

Methods
Male rats were administrated vitamin A palmitate at different doses (0, 0.7, 1.5, 3, 6, and 12 mg/kg, oral) and samples were collected at different time intervals of 2, 4, and 6 weeks. The levels of vitamin A, thyroid hormones (T3, T4, and TSH), deiodinases (Dio1 and Dio3), glycemic markers (blood insulin and fasting glucose levels, HOMA IR and HOMA β), retinol-binding protein 4 (RBP4) and the gluconeogenic enzyme phosphoenolpyruvate carboxykinase (PEPCK) were measured.

Results
The findings demonstrated that long-term supplementation with high doses of vitamin A palmitate resulted in hypothyroidism (lower T3 and T4 levels and elevated TSH levels) as well as upregulation of Dio1 and Dio3 expression levels. This effect was associated with elevated glucose and insulin levels, enhanced HOMA IR, and decreased HOMA B index. In addition, prolonged vitamin A supplementation significantly increased RBP4 levels that upregulated the expression of PEPCK.

Conclusion
High doses of vitamin A supplementation increased the risk of hypothyroidism, modulated insulin sensitivity, and over a long period, increased the incidence of type 2 diabetes mellitus associated with oxidative stress and hepatitis.