bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Splendid New Beginning at the End of a 40-Year Quest: The First KRASG12D Inhibitor in Pancreatic Cancer
Authors: Redding Alexandra , Grabocka Elda 
Published: February 2023

Summary:
The first KRASG12D inhibitor, MRTX113, leads to regression in multiple mouse models of PDAC as a monotherapy. MRTX113 blocks cancer cell proliferation, induces cancer cell death, and promotes immune infiltration and activation.
See related article by Kemp et al., p. 298 (6).
Gaudí e a arquitetura da psique
Authors: Daré Paula Serafim 
Published: February 2023

O presente trabalho teve como objetivo compreender a história e o processo criativo de Antonio Gaudí, o arquiteto catalão, através de sua biografia e da análise de suas obras. Sob o enfoque da psicologia analítica, o artigo analisou o processo inconsciente que envolve as criações do arquiteto artista, a execução de seus projetos e o seu caminho de individuação.
Body Position and Orthostatic Hypotension in Hypertensive Adults: Results from the Syst-Eur Trial
Authors: Grobman Ben , Turkson-Ocran Ruth-Alma N. , Staessen Jan A. , Yu Yu-Ling , Lipsitz Lewis A. , Mukamal Kenneth J. , Juraschek Stephen P. 
Published: February 2023

Background:
We recently demonstrated that more intensive blood pressure (BP) treatment lowered risk of orthostatic hypotension (OH) measured with a seated-to-standing protocol. However, seated-to-standing OH assessments are less sensitive than supine-to-standing and could miss clinically relevant OH.

Objectives:
Using data from the Syst-Eur trial (Systolic Hypertension in Europe), we examined the effect of hypertension treatment on incidence of OH based on the difference in BP from 3 body positions.

Methods:
Syst-Eur was a multi-center, randomized trial that enrolled adults with isolated systolic hypertension to investigate whether active hypertension treatment could reduce cardiovascular events. Participants underwent BP measurement in supine, seated, and standing positions. Using differences in BP between the 3 body positions (seated minus supine, standing minus seated, and standing minus supine), we defined OH as a drop in systolic BP ≥20 mm Hg or diastolic BP ≥10 mm Hg. We included measurements from baseline and follow-up visits.

Results:
Among 4695 participants (mean age, 70.2±6.7 years; 66.9% female) with 42 636 BP measurements, OH was present in 4.9% of measures with supine-to-seated, 7.9% with seated-to-standing, and 11.4% with supine-to-standing protocols, respectively. Compared with placebo, BP treatment did not increase OH with any set of maneuvers, OR, 0.79 (95% CI, 0.65–0.95) with seated-to standing, 1.03 (95% CI, 0.86–1.24) with supine-to-seated, and 0.99 (95% CI, 0.86–1.15) with supine-to-standing.

Conclusions:
Regardless of protocol, active hypertension treatment did not increase the risk of OH, reinforcing evidence that OH should not be viewed as a complication of hypertension treatment.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT02088450.
Inference and Learning for Generative Capsule Models
Authors: Nazabal Alfredo , Tsagkas Nikolaos , Williams Christopher K. I. 
Published: February 2023

AbstractCapsule networks (see Hinton et al., 2018) aim to encode knowledge of and reason about the relationship between an object and its parts. In this letter, we specify a generative model for such data and derive a variational algorithm for inferring the transformation of each model object in a scene and the assignments of observed parts to the objects. We derive a learning algorithm for the object models, based on variational expectation maximization (Jordan et al., 1999). We also study an alternative inference algorithm based on the RANSAC method of Fischler and Bolles (1981). We apply these inference methods to data generated from multiple geometric objects like squares and triangles (“constellations”) and data from a parts-based model of faces. Recent work by Kosiorek et al. (2019) has used amortized inference via stacked capsule autoencoders to tackle this problem; our results show that we significantly outperform them where we can make comparisons (on the constellations data).
Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation
Authors: Zhang Yichen , Du Kai , Huang Tiejun 
Published: February 2023

Abstract
Biophysically detailed neuron simulation is a powerful tool to explore the mechanisms behind biological experiments and bridge the gap between various scales in neuroscience research. However, the extremely high computational complexity of detailed neuron simulation restricts the modeling and exploration of detailed network models. The bottleneck is solving the system of linear equations. To accelerate detailed simulation, we propose a heuristic tree-partition-based parallel method (HTP) to parallelize the computation of the Hines algorithm, the kernel for solving linear equations, and leverage the strong parallel capability of the graphic processing unit (GPU) to achieve further speedup. We formulate the problem of how to get a fine parallel process as a tree-partition problem. Next, we present a heuristic partition algorithm to obtain an effective partition to efficiently parallelize the equation-solving process in detailed simulation. With further optimization on GPU, our HTP method achieves 2.2 to 8.5 folds speedup compared to the state-of-the-art GPU method and 36 to 660 folds speedup compared to the typical Hines algorithm.
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers
Authors: Gopalakrishnan Anand , Irie Kazuki , Schmidhuber Jürgen , van Steenkiste Sjoerd 
Published: February 2023

AbstractThe discovery of reusable subroutines simplifies decision making and planning in complex reinforcement learning problems. Previous approaches propose to learn such temporal abstractions in an unsupervised fashion through observing state-action trajectories gathered from executing a policy. However, a current limitation is that they process each trajectory in an entirely sequential manner, which prevents them from revising earlier decisions about subroutine boundary points in light of new incoming information. In this work, we propose slot-based transformer for temporal abstraction (SloTTAr), a fully parallel approach that integrates sequence processing transformers with a slot attention module to discover subroutines in an unsupervised fashion while leveraging adaptive computation for learning about the number of such subroutines solely based on their empirical distribution. We demonstrate how SloTTAr is capable of outperforming strong baselines in terms of boundary point discovery, even for sequences containing variable amounts of subroutines, while being up to seven times faster to train on existing benchmarks.
Baghdad in My Shadow (2019): a Political Thriller in a Multireligious Europe
Authors: Axelson Tomas 
Published: February 2023

Abstract
This article presents the Swiss-Iraqi director Samir Jamal Aldin and his thriller Baghdad in My Shadow (2019) and puts it into a context of the re-negotiation of identities in a culturally diverse Europe. The director’s intention is presented as a wish to deal with taboo issues related to gay rights, women’s emancipation, and religious fundamentalism within an Iraqi community in contemporary London.
The film is analysed with the help of (1) theories analysing tensions between liberal-secular and religious-fundamentalist standpoints, and (2) theories about film viewers’ engagement, amplifying audiences’ emotions and thoughts about complex societal issues.
The film could be said to advocate a standpoint of dynamic secularism promoting individual rights. The article argues, furthermore, that Samir as a Swiss-Iraqi filmmaker encourages thick viewing through his thriller format and invites the audience to a deeper emotional and intellectual understanding of liberal principles, honour culture, and hybrid identity positions in contemporary Europe.
A systematic review of factors associated with sustained smoking abstinence in people experiencing severe mental illness following participation in a smoking intervention
Authors: Davies Kimberley , Courtney Ryan J , Summersby-Mitchell Miranda , Morell Rachel , Briggs Nancy , Lappin Julia M 
Published: February 2023

Objective: People experiencing severe mental illness report higher rates of tobacco smoking than the general population, while rates of quitting and sustaining abstinence are considerably lower. This systematic review aimed to identify factors associated with sustained abstinence in people experiencing severe mental illness following a smoking intervention. Method: Searches were conducted in PubMed, PsycInfo, Scopus, Embase, Emcare, CINAHL and Cochrane Library from the inception of the e-databases until June 2022. Selection criteria included randomised and non-randomised studies of smoking cessation interventions in which most of the participants were experiencing severe mental illness, and reported a follow-up of 3 months or longer. From an initial 1498 unique retrieved records, 26 references were included detailing 17 smoking cessation intervention studies and 3 relapse prevention intervention studies. Risk of bias was assessed using the RoB2 tool for randomised study designs and the ROBINS-I tool for non-randomised designs. Results: Participation in smoking interventions was associated with higher odds of abstinence in the medium-term, but not long-term follow-ups. There was insufficient evidence that any other factors impact sustained abstinence. Most studies were considered to have some risk of bias, largely due to insufficient availability of analysis plans. Conclusion: Despite an abundance of studies investigating smoking cessation in smokers experiencing severe mental illness, there is limited knowledge on the factors associated with staying quit. The inclusion of people experiencing severe mental illness in large-scale randomised control trials, in which predictors of sustained abstinence are measured in the medium and long term are needed to address this important question.
Image quality assessment in low-dose COVID-19 chest CT examinations
Authors: Feghali Joelle A , Russo Roberta A , Mamou Adel , Lorentz Axel , Cantarinha Alfredo , Bellin Marie-France , Meyrignac Olivier 
Published: February 2023

Background Low-dose thoracic protocols were developed massively during the COVID-19 outbreak. Purpose To study the impact on image quality (IQ) and the diagnosis reliability of COVID-19 low-dose chest computed tomography (CT) protocols. Material and Methods COVID-19 low-dose protocols were implemented on third- and second-generation CT scanners considering two body mass index (BMI) subgroups (<25 kg/m2 and >25 kg/m2). Contrast-to-noise ratios (CNR) were compared with a Catphan phantom. Next, two radiologists retrospectively assessed IQ for 243 CT patients using a 5-point Linkert scale for general IQ and diagnostic criteria. Kappa score and Wilcoxon rank sum tests were used to compare IQ score and CTDIvol between radiologists, protocols, and scanner models. Results In vitro analysis of Catphan inserts showed in majority significantly decreased CNR for the low dose versus standard acquisition protocols on both CT scanners. However, in vivo, there was no impact on the diagnosis: sensitivity and specificity were ≥0.8 for all protocols and CT scanners. The third-generation scanner involved a significantly lower dose compared to the second-generation scanner (CTDIvol of 1.8 vs. 2.6 mGy for BMI <25 kg/m2 and 3.3 vs. 4.6 mGy for BMI >25 kg/m2). Still, the third-generation scanner showed a significantly higher IQ with the low-dose protocol compared to the second-generation scanner (30.9 vs. 28.1 for BMI <25 kg/m2 and 29.9 vs. 27.8 for BMI >25 kg/m2). Finally, the two radiologists had good global inter-reader agreement (kappa ≥0.6) for general IQ. Conclusion Low-dose protocols provided sufficient IQ independently of BMI subgroups and CT models without any impact on diagnosis reliability.
Serum Vitamin D Level Correlations With Tissue Vitamin D Level and Muscle Performance Before and After Rotator Cuff Repair
Authors: Rhee Sung-Min , Park Joo Hyun , Jeong Hyeon Jang , Kim Young Kyu , Lee Kyunghoon , Oh Joo Han 
Published: February 2023

Background: There is a lack of studies about serum and tissue vitamin D levels of the rotator cuff muscle on muscle power, fatty degeneration, and healing failure after rotator cuff repair (RCR). Furthermore, no studies have evaluated vitamin D receptor proteins in the rotator cuff that show a close association with serum vitamin D levels. Purpose: To evaluate the correlations between serum vitamin D and tissue vitamin D as well as perioperative variables of arthroscopic RCR. Study Design: Case series; Level of evidence, 4. Methods: From March 2017 to October 2017, a total of 36 patients who underwent RCR were prospectively enrolled, and supraspinatus muscle tissue was obtained during surgery to analyze tissue vitamin D levels. Serum vitamin D levels were checked preoperatively and at 6 months and 1 year postoperatively. Tissue vitamin D levels were assessed using liquid chromatography, and the vitamin D receptor was measured by western blotting. Isokinetic muscle performance test (IMPT; peak torque and torque deficiency compared with the opposite shoulder) results and fatty degeneration of the rotator cuff using the Goutallier classification were assessed preoperatively and at 1 year after surgery. The American Shoulder and Elbow Surgeons score and Constant score were collected at 2 years after surgery. Healing failure of the repaired rotator cuff was analyzed by magnetic resonance imaging at 1 year after surgery. Results: Overall, only three patients (8.3%) had serum vitamin D sufficiency (>20 ng/mL). Among 36 patients, 26 patients returned for their 1-year follow-up. Lower preoperative serum vitamin D levels resulted in lower serum vitamin D levels at 6 months and 1 year postoperatively (all P < .05). Lower preoperative and 1-year postoperative serum vitamin D levels resulted in more torque deficiency on the IMPT in abduction than higher preoperative and 1-year postoperative serum vitamin D levels (all P < .05). Tissue vitamin D levels had a strong correlation with preoperative serum vitamin D levels ( P = .001). Lower tissue vitamin D levels were associated with lower peak torque on the IMPT in abduction ( P = .043) and a tendency of lower peak torque on the IMPT in external rotation ( P = .077) at 1 year postoperatively. There was no correlation between tissue and serum vitamin D levels and functional outcomes, fatty degeneration, and healing failure after surgery (all P > .05). The vitamin D receptor showed no correlation with any variables (all P > .05). Conclusion: Lower preoperative serum vitamin D levels had a strong correlation with lower tissue vitamin D levels and lower serum vitamin D levels at 1 year after surgery. Furthermore, the patients with lower serum vitamin D levels showed more weakness of muscle power perioperatively. The results of this study emphasized the association between vitamin D levels and rotator cuff muscle power.
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis
Authors: Siepel Sander , Dam Tariq A. , Fleuren Lucas M. , Girbes Armand R.J. , Hoogendoorn Mark , Thoral Patrick J. , Elbers Paul W.G. , Bennis Frank C. ,   On behalf of the Dutch ICU Data Sharing Collaborators
Published: February 2023

Background Identification of clinical phenotypes in critically ill COVID-19 patients could improve understanding of the disease heterogeneity and enable prognostic and predictive enrichment. However, previous attempts did not take into account temporal dynamics with high granularity. By including the dimension of time, we aim to gain further insights into the heterogeneity of COVID-19. Methods We used granular data from 3202 adult COVID patients in the Dutch Data Warehouse that were admitted to one of 25 Dutch ICUs between February 2020 and March 2021. Parameters including demographics, clinical observations, medications, laboratory values, vital signs, and data from life support devices were selected. Twenty-one datasets were created that each covered 24 h of ICU data for each day of ICU treatment. Clinical phenotypes in each dataset were identified by performing cluster analyses. Both evolution of the clinical phenotypes over time and patient allocation to these clusters over time were tracked. Results The final patient cohort consisted of 2438 COVID-19 patients with a ICU mortality outcome. Forty-one parameters were chosen for cluster analysis. On admission, both a mild and a severe clinical phenotype were found. After day 4, the severe phenotype split into an intermediate and a severe phenotype for 11 consecutive days. Heterogeneity between phenotypes appears to be driven by inflammation and dead space ventilation. During the 21-day period, only 8.2% and 4.6% of patients in the initial mild and severe clusters remained assigned to the same phenotype respectively. The clinical phenotype half-life was between 5 and 6 days for the mild and severe phenotypes, and about 3 days for the medium severe phenotype. Conclusions Patients typically do not remain in the same cluster throughout intensive care treatment. This may have important implications for prognostic or predictive enrichment. Prominent dissimilarities between clinical phenotypes are predominantly driven by inflammation and dead space ventilation.
Towards a better Comprehension and Management of Pain and Psychological Distress in Parkinson’s: The Role of Catastrophizing
Authors: Zimmers Sylvia , Robieux Léonore , Bungener Catherine 
Published: February 2023

Objectives Pain is very prevalent in Parkinson’s and challenging to manage. As many people with Parkinson’s (PwP) with pain suffer from anxious and depressive symptoms, we examined the role of catastrophizing in mediating the relationship between pain and psychological distress for this population. Methods 169 international PwP completed an online survey with socio-demographic and medical data. Participants completed psychometric tests to assess their pain (King’s Parkinson’s Disease Pain Questionnaire, McGill Pain Questionnaire and Brief Pain Inventory), psychological distress (Beck Depression Inventory and Parkinson Anxiety Scale), pain coping strategies (Coping Strategies Questionnaire) and pain catastrophizing (Pain Catastrophizing Scale). Results Depending on the tool used, 82.8% to 95.2% of participants reported pain. 23.5 % and 67.5% of participants showed respectively significant levels of depressive and anxiety symptoms. Psychological distress was significantly correlated with the quality of pain (both sensory and affective dimensions). Statistical models highlighted the mediating role of catastrophizing in the relationship between psychological distress and pain in Parkinson’s. Conclusion These findings offer new perspectives toward understanding the underlying mechanisms of pain in Parkinson’s and for effective therapeutic intervention goals to facilitate adaptation to pain symptoms in Parkinson’s.
TLC-bioautography-MS-based Identification of Antioxidant, α-Amylase and α-Glucosidase Inhibitory Compounds in a Polyherbal Formulation “Sugreen-120”
Authors: Gaurav  , Anwar Nabeel , Zahiruddin Sultan , Ahmad Sayeed 
Published: February 2023

Background Sugreen-120 is one of the famous Indian polyherbal formulations used for the treatment of diabetes. Due to a lack of scientific evidence, the present study is aimed at investigating the phytopharmacology of Sugreen-120 concerning its antioxidant and antidiabetic characteristics. Materials and Methods Total phenols and flavonoid content followed by 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity was estimated in Sugreen-120. α-Amylase and α-glucosidase inhibitory action of Sugreen-120 was estimated to evaluate its antidiabetic potential. Thin layer chromatography (TLC)-bioautography-MS analysis was performed to determine DPPH free radical, α-amylase and α-glucosidase inhibitory phytoconstituents in Sugreen-120. High performance thin layer chromatography (HPTLC)-based quantitative analysis of Sugreen-120 was performed for the simultaneous separation of caffeic acid and kaempferol. In silico docking analysis was performed to determine the effect of Sugreen-120 metabolites against α-amylase and α-glucosidase enzymes. Results The results showed that Sugreen-120 is enriched in total phenols and flavonoids and even has good potential to scavenge DPPH free radicals with an inhibitory concentration (IC50) value of 414.59 ± 4.925 µg/mL. In α-amylase and α-glucosidase inhibitory assays, the efficacy of Sugreen-120 was found in a dose-dependent manner and the IC50 values were found as 220.106 ± 1.375 and 441.44 ± 1.992 µg/mL, respectively. TLC-bioautographic analysis showed that 06 constituents were found active against DPPH free radical, 04 constituents active against α-amylase and 03 constituents active against α-glucosidase. A HPTLC quantitative study revealed the content of caffeic acid and kaempferol to be 5.233 ± 0.026 and 16.959 ± 0.036 µg/mg, respectively. In silico docking analysis showed that out of 5 identified metabolites, myricetin, ellagic acid, and kaempferol were found with significant interaction with α-amylase and α-glucosidase proteins. Hence, it can be concluded that Sugreen-120 exhibits not only an antidiabetic effect but also antioxidant potential. It can be a palliative choice and an alternative that can be used for the treatment of diabetes.