bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Neurosurgical Outpatient Clinic: Comparison Between Accesses in Public and Private Activities
Authors: Menegatti Marta , Villano Nunzia Del , Scerrati Alba , Travaglini Francesco , Ricciardi Luca , Lofrese Giorgio , Cavallo Michele Alessandro , De Bonis Pasquale 
Published: December 2022

Abstract
Background: Neurosurgical clinic assesses presence and extent of pathologies of central and peripheral nervous system or disorders affecting the spine, to identify most effective treatment and possible recourse to surgery. Aim of this study is to evaluate the appropriateness of patients evaluation requests either in public or private neurosurgical clinics.
Materials and Methods: We collected and analyzed all the reports of outpatient visits of public and private clinic over a period between January and December 2018.
Results: There were 0.62% real urgent visits in the public sector and 1.19% in the private sector (p=0.05). Peripheral pathologies represented 12.53% and 6.21% of pathologies evaluated in public and private sector respectively (p<0.00001). In addition, 15.76% of visits in public lead to surgery, while they represented 11.45% in private (p=0.0003).
Conclusions: No study is available comparing accesses of patients in neurosurgical outpatient clinics. In public clinic, visits are booked as urgent on the prescription of the general practitioner: in reality, only 5% of these visits were really confirmed as urgent by the specialist. Peripheral pathologies are more frequent in public clinic, while cranial pathologies are more frequent in private one. Patients with cranial pathologies prefer to choose their surgeon by accessing private clinic.
Hole-type superconducting gatemon qubit based on Ge/Si core/shell nanowires
Authors: Lyu Zhaozheng , Zhuo Enna , Sun Xiaopei , Li Ang , Li Bing , Ji Zhongqing , Fan Jie , Bakkers Erik , Han Xiaodong , Song Xiaohui , Qu Fanming , Liu Guangtong , Shen Jie , Lu Li 
Published: December 2022

Abstract
We demonstrate that superconducting gatemon qubits based on superconductor-semiconductor-superconductor Josephson junctions can be constructed on hole-type Ge/Si core/shell nanowires. The frequency of the qubit can be set firstly by controlling the diffusion of Al in the nanowire via thermal annealing, which yields a roughly suitable critical supercurrent for the junction, and then by fine tuning of a gate voltage, by which an accurate adjustment of the frequency can be realized. On the resulted qubit, Rabi oscillation with an energy relaxation time T1~180 ns was observed in the time domain, and the gate voltage dependence of both T1 and the dephasing time T2 was investigated. Such a hole-type superconducting gatemon qubit, based on materials with strong spin-orbit coupling and the absence of hyperfine interaction, could be used for exploring the quantum coherence phenomena of hole-gas and potentially also Majorana physics in Ge-based quantum devices.
Severity of ATAD3A-related pontocerebellar hypoplasia correlates with the severity of pathogenic variants
Authors: Skopkova Martina , Stufkova Hana , Rambani Vibhuti , Stranecky Viktor , Brennerova Katarina , Kolnikova Miriam , Pietrzykova Michaela , Noskova Lenka , Tesarova Marketa , Hansikova Hana , Gasperikova Daniela 
Published: December 2022

Abstract
Background: Pathogenic variants in the ATAD3A gene lead to a heterogenous clinical picture and severity ranging from recessive neonatal-lethal pontocerebellar hypoplasia through milder dominant Harel-Yoon syndrome up to, again, neonatal-lethal but dominant cardiomyopathy. The genetic diagnostics of ATAD3A-related disorders is also challenging due to three paralogous genes in the ATAD3 locus, making it a difficult target for both sequencing and CNV analyses.
Results: Here we report four individuals from two families with compound heterozygous p.Leu77Val and exon 3–4 deletion in the ATAD3A gene. One of these patients was characterized as having combined OXPHOS deficiency based on decreased complex IV activities, decreased complex IV, I, and V holoenzyme content, as well as decreased levels of subunits of all complexes and decreased rate of mitochondrial proteosynthesis. All four reported patients shared a strikingly similar clinical picture to a previously reported patient with the p.Leu77Val variant in combination with a null allele. They presented with a less severe course of the disease and a longer lifespan than in the case of biallelic loss-of-function variants. This consistency of the phenotype in otherwise clinically heterogenous disorder led us to the hypothesis that the severity of the phenotype could depend on the severity of variant impact. To follow this rationale, we reviewed the published cases and sorted the recessive variants according to their impact predicted by their type and the severity of the disease in the patients.
Conclusion: The clinical picture and severity of ATAD3A-related disorders are dependent on the type of mutation and correlate with the predicted severity of the variants and their combinations. This knowledge can enable faster diagnosis and allow more accurate prognosis estimation, as well as a better understanding of the ATAD3A function.
Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy
Authors: Spohn Simon KB , Schmidt-Hegemann Nina-Sophie , Ruf Juri , Mix Michael , Benndorf Matthias , Bamberg Fabian , Makowski Marcus R , Kirste Simon , Rühle Alexander , Nouvel Jerome , Sprave Tanja , Vogel Marco ME , Galitsnaya Polina , Gschwend Juergen E , Gratzke Christian , Stief Christian , Loeck Steffen , Zwanenburg Alex , Trapp Christian , Bernhardt Denise , Nekolla Stephan G , Li Minglun , Belka Claus , Combs Stephanie E , Eiber Matthias , Unterrainer Lena , Unterrainer Marcus , Bartenstein Peter , Grosu Anca L , Zamboglou Constantinos , Peeken Jan C 
Published: December 2022

Abstract
Purpose
To develop a CT-based radiomic signature to predict biochemical recurrence (BCR) in prostate cancer patients after sRT guided by positron-emission tomography targeting prostate-specific membrane antigen (PSMA-PET).
Material and Methods
Consecutive patients, who underwent 68Ga-PSMA11-PET/CT guided sRT from three high volume centers in Germany were included in this retrospective multicenter study. Patients had PET-positive local recurrences and were treated with intensity-modulated sRT. Radiomic features were extracted from volumes of interests on CT guided by focal PSMA PET uptakes. After pre-processing, clinical-, radiomics- and combined clinical-radiomics models were developed combining different feature reduction techniques and Cox proportional hazard models within a nested cross validation approach.
Results
Among 99 patients, median interval until BCR was The radiomic models outperformed clinical models and combined clinical-radiomics models for prediction of BCR with a C-index of 0.71 compared to 0.53 and 0.63 in the test sets, respectively. In contrast to the other models, the radiomic model achieved significantly improved patient stratification in Kaplan Meier analysis. The radiomic and clinical-radiomic model achieved a significantly better time-dependent net reclassification improvement index (0.392 and 0.762, respectively) compared to the clinical model. Decision curve analysis demonstrated a clinical net benefit for both models. Mean intensity was the most predictive radiomic feature.
Conclusion
This is the first study to develop a PSMA-PET-guided CT-based radiomic model to predict BCR after sRT. The radiomic models outperformed clinical models and might contribute to guide personalized treatment decisions.
Prevalence of chronic diseases among older adults in EAG and non-EAG states of India and its contextual determinants
Authors: Prasad Ravi Durga , Ghosh Koustav 
Published: December 2022

Abstract

Background: Although the rising burden of chronic diseases became a major challenge of public policy in India, especially in the ongoing COVID-19 pandemic crisis, there is a lack of awareness and access to healthcare resources and infrastructure in India. Therefore, the present study aims to assess the prevalence of chronic diseases among older adults in Empowered Action Group (EAG) and non-EAG states and their contextual factors.
Methods: The study used the Longitudinal Ageing Study in India (LASI), Wave-1 data, the survey was conducted during 2017-18. Bi-variate, spatial analyses, and logistic regression models have been carried out to assess the prevalence of chronic diseases among older adults.
Results: The prevalence of at least one chronic disease among older adults in India was about 55% and it was about 50% and 59% in EAG and non-EAG states respectively. The prevalence of hypertension (26%) was the leading chronic disease among older adults in India, followed by gastrointestinal problems (18%), arthritis (16%), diabetes (12%), and chronic lung diseases (6%). The odds of chronic diseases among urban older adults were 39% (Odds Ratio [OR]=1.39; 95% CI:1.29-1.50) and 30% (OR=1.30; 95% CI:1.24-1.35) higher than their rural counterparts in both EAG and non-EAG states respectively.
Conclusion: The study concludes that major contextual factors of chronic diseases were higher age, smoking and using smokeless tobacco, physical inactivity, never working, lack of education, Muslim religion, poor economic status, and residing in urban areas in both EAG and non-EAG states in India.
An ensemble scheme for the numerical solution of a random transient heat equation with uncertain inputs
Authors: Yao Tingfu , Ye Changlun , Luo Xianbing , Xiang Shuwen 
Published: December 2022

Abstract
An ensemble-based time stepping scheme is applied to solving a transient heat equation with random Robin boundary and diffusion coefficients. By introducing two ensemble means of Robin boundary and diffusion coefficients, we propose a new ensemble Monte Carlo (EMC) scheme for the a transient heat equation. The EMC scheme solves a single linear system including several right-side vectors at each time step. Stability analysis and error estimates are derived. Two numerical examples verify the theoretical results and the validity of the EMC method.
MSC Classification: 65C05 , 65C20 , 65M60
Contribution of alcohol use to the global burden of cirrhosis and liver cancer from 1990 to 2019 and projections to 2044
Authors: Liu Yang , Sun Zhouyi , Wang Qianwen , Wu Kangze , Tang Zhe , Zhang Bo 
Published: December 2022

Abstract
Background
Identifying the temporal trends of cirrhosis and liver cancer attributable to alcohol use in both the past and the future can formulated the control strategies.
Methods
Data on cirrhosis and liver cancer attributable to alcohol use from 1990 to 2019, including mortality and disability adjusted life year (DALY) rates were collected from the 2019 Global Burden of Disease (GBD) study. In order to analysis the temporal trends, the average annual percentage change (AAPC) was calculated and the Bayesian age-period-cohort model was applied.
Result
The deaths and DALY of cirrhosis and liver cancer attributable to alcohol use increased year by years, but the ASDR and age-standardized DALY rate declined or remained stable from 1990 to 2019 in most regions of the world. The burden of cirrhosis attributable to alcohol increased in low-middle social-development index (SDI) regions, while the burden of liver cancer increased in high SDI region. Deaths and DALYs are mainly distributed in people aged 40 + years, but there is a growing trend in people aged under 40 years. New deaths from cirrhosis and liver cancer attributable to alcohol use are predicted to increase in the next 25 years, but the ASDR of cirrhosis in males will increase slightly.
Conclusions
Although the age-standardized rate of cirrhosis and liver cancer due to alcohol use have declined, the absolute burden increased and will continue to increase. Therefore, steps against alcohol use should be further strengthened and improved through effective national policies.
Crossover design in triage education: the effectiveness of simulated interactive vs routine training on student nurses' performance in a disaster situation
Authors: Hosseini Mohsen Masoumian , Hosseini Toktam Masoumian , Ahmady Soleiman , Qayumi Karim 
Published: December 2022

Abstract
Introduction.
One aspect of successful triage is the proper diagnosis of the injured person. For this reason, triage guidelines speed up recognition times and increase services. Therefore, this study aims to develop an interactive triage guideline simulator that can reduce the execution time of the procedure.
Method.
This study was a crossover design with pre- and posttests for two groups. Each group consisted of 60 students selected using the census method. SIG and teacher training sessions were conducted as a crossover design. Triage knowledge questionnaires were used in the pretest to assess triage knowledge. An OSCE test was administered in the posttest to assess student performance, followed by a triage skills questionnaire. Both questionnaires were highly reliable, as indicated by Cronbach's alpha coefficients (0.9 and 0.95, respectively). Statistical analysis was performed using SPSS version 26 software at a significance level of 0.05.
Result.
The chi-square test showed that the two groups were homogeneous regarding age. Regarding knowledge level, both groups were homogeneous before the intervention (P = 0.99). Nevertheless, the results of the OSCE test showed that the students in group A had a higher level of skill than the students in group B (93% versus 70%). Also, 18% of the students in group B had low skills.
Discussion.
This study found that student outcomes improved in both groups receiving SIG, suggesting that interaction and simulation improve learning. However, gamification is an ideal precursor to learning and not a substitute for education. Therefore, gamification should not be used as a stand-alone teaching method.
Conclusions.
This crossover study found that simulators and games should not be considered stand-alone teaching methods but can contribute to learning sustainability when used alongside instruction.
Emotions online: Exploring knowledge workers’ emotional labour in a digital context in an agile IT company
Authors: Pultz Sabina , Dupret Katia 
Published: December 2022

Abstract
Digital technologies and new ways of organizing transform the way we experience work. Thus, this paper seeks to contribute to organizational behavior research by enhancing our understanding of the role of digital emotional labour (EL) among knowledge workers. We investigate the EL involved in digital communication practices among co-located knowledge workers employed in an agile IT-consultancy firm with a relatively flat hierarchy. Based on rich qualitative data, we analyse how the specific socio-material infrastructures of a democratic communication technology called ‘Flowdock’ give rise to EL (Hochschild, 1979, 1983). The study contributes theoretically by developing work on EL in a digital context by engaging with Oudshoorn’s (2009) term ‘digital proximity’. This implies opening up EL to a more dynamic and situated approach and contributing to the organizational research scrutinizing the EL of backstage professionals. The paper concludes that online communication creates new demands of managing emotions in relation to 4 themes key to agile organizing: 1) working as whole persons, 2) creating partnerships, 3) unclear decision making, and lastly 4) informal power dynamics. We discuss implications of the overall finding that knowledge workers face increased demands mixing social and technical skills.
Temporal Trends and Barriers for Inpatient Palliative Care Referral in Metastatic Gynecologic Cancer Patients Receiving Specific Critical Care Therapies
Authors: Shen Li , Chen Longpei , Zhou Yun , Chen Tianran , Han Hedong , Xia Qiuyan , Liu Zhanguo 
Published: December 2022

Abstract
Purpose: Existing evidence suggests that palliative care (PC) is highly underutilized in metastatic gynecologic cancer (mGCa). This study aims to explore temporal trends and predictors for inpatient PC referral in mGCa patients who received specific critical care therapies (CCT).
Methods: The National Inpatient Sample from 2003 to 2015 was used to identify mGCa patients receiving CCT. Basic characteristics between patients with and without PC were compared. Annual percentage change (APC) was estimated to reflect the temporal trend in entire cohort and subgroups. Multivariable logistic regression was employed to explore potential predictors of inpatient PC referral.
Results: In total, 10,380 mGCa patients receiving CCT were identified, among which 1208 (11.64%) received inpatient PC. Overall, rate of PC referral increased from 1.81% in 2003 to 26.30% in 2015 (APC: 29.08%). Higher increase in PC use was found in White (APC: 30.81%), medium bedsize hospitals (APC: 31.43%), Midwest (APC: 33.84%) and ovarian cancer (APC: 31.35%). Multivariable analysis suggested that medium bedsize, large bedsize, Midwest region, West region, uterine cancer and cervical cancer were related to increased PC use, while metastatic sites from lymph nodes and genital organs were related to lower PC referral.
Conclusion: Although PC referral has increased over time, the absolute rate remains low. PC referral in mGCa patients receiving CCT varies among sociodemographic and clinical factors. Further efforts are warranted to better characterize the specific barriers and optimize end-of-life care for mGCa patients receiving CCT, especially for those diagnosed with ovarian cancer or admitted to small scale and Northeast hospitals.
Question-based computational language assessment shows higher validity than rating scales in the categorization of emotional state narratives
Authors: Sikström Sverker , ̇ Ieva Valavicˇiu ̄te , Kuusela Inari , Evors Nicole 
Published: December 2022

Abstract
Psychological constructs are commonly quantified with closed-ended rating scales, however, recent advances in natural language processing (NLP) have been shown to allow for the quantification of open-ended language responses with unprecedented accuracy. Here, we showed that emotional events analysed by NLP show higher accuracy in categorizing emotional states than rating scales. One group of participants (N = 297) was asked to generate narratives related to four emotions – depression, anxiety, satisfaction, or harmony and to rate them on four standardized rating scales (i.e., PHQ-9, GAD-7, SWLS, and HILS). The second group of participants (N = 400 controls and N = 34 healthcare professionals), read the narratives produced by the first group, summarized them in five descriptive keywords, and rated the narratives on the same four emotional states. The descriptive words were quantified by NLP methods, and machine learning was used to categorize the responses into the corresponding emotional categories. The results showed a substantially more accurate categorization of the narratives based on descriptive words (64 %) than on rating scales (44 %), indicating that semantic measures have significantly higher predictive accuracy than the corresponding four rating scales. In conclusion, our results show that semantic responses can have a higher validity in categorizing narratives of emotions than validated Likert scales.
Imagery in the Entropic Associative Memory
Authors: Pineda Luis A. , Morales Rafael 
Published: December 2022

Abstract
The Entropic Associative Memory is a novel computational model of memory that uses a standard array or table as its medium. The system defines three memory operations in relation to a cue, which are called λ-register, η-recognition and β-retrieval. The memory is declarative, abstractive, distributed, productive, constructive and cues not included in the memory are rejected directly without search. λ-register and η-recognition are cell-to-cell operations, and β-retrieval is a column-to-column operation, and the three operations can be performed in parallel. The content of the memory is indeterminate and has an entropy. The β-retrieval operation renders determinate objects on the basis of complete and incomplete cues and the indeterminate memory content. The distributive and indeterminate character of the memory makes the stored objects opaque for direct inspection on the memory medium, and yet they can be made readily available when the memory is queried with an appropriate cue. The indeterminacy also allows that a very large amount of objects can be stored and retrieved effectively with very limited computing resources. In our previous work we explored the auto-associative properties of the memory and performed experiments to store, recognize and retrieve manuscript digits and letters with complete and incomplete cues, and also to recognize and learn phones, with satisfactory results. In such experiments a designated memory register was used to store all the objects of the same class, whereas in the present study we remove such restriction and use a single memory register to store all the objects in the domain. In this novel setting we explore the production of emerging objects and relations, such that cues are used not only to retrieve remembered objects, but also related and imaged objects, and to produce associations chains. The present model supports the view that memory and classification are independent functions both conceptually and architecturally. The memory system can store images of the different modalities of perception and action, possible multimodal, and offers a novel perspective on the imagery debate and computational models of declarative memory.
Assessment and development of a novel reduced mechanism for methane combustion in computational fluid dynamics modeling
Authors: Kamma Panit , Suvanjumrat Chakrit 
Published: December 2022

Abstract
The main objective of this work is to obtain the reduced reaction mechanism, which is consistent with a benchmark case in modeling a 0-D ignition delay, 1-D laminar flame speed, and 2-D simulated flame result and spent less processing time. In achieving this, the ten reduced reaction mechanisms developed for methane combustion were assessed, whereas the GRI-Mech 3.0 is considered a Benchmark. The result showed that only a reaction mechanism named SK30 was satisfactory. Still, the processing time in simulating the simple 2-D of a premixed model at the microscale was overly substantial. Subsequently, SK30 was further lessened using the two reduction steps. Firstly, the automatic algorithm based on a direct relation graph with the error propagation aided sensitivity analysis using ignition delays as a criterion in automatic reduction was applied. By doing this, the accuracy of ignition delays was maintained, and the flame speed was distorted. Accordingly, sensitivity analysis was employed to obtain the influential reaction in the benchmarking mechanism in the second step. The significant species and reactions on flame speed but less in ignition delay, which was missing in the current development, were considered to retrieve back manually as few as possible. Finally, the novel mechanism consisting of 25 species 132 reactions was proposed for methane-air combustion. In validation, the 1-D flame speed and the 2-D premixed flame model were agreement with the benchmark model. In addition, the processing time of this reduced mechanism was 50% faster than the SK30.