bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entropic uncertainty relation of two-qubit detectors coupled to scalar fields in an expanding spacetime
Authors: Yang Huan , Xing Ling-Ling , Kong Min , Zhang Gang , Ye Liu 
Published: October 2022

AbstractThe principles of quantum information provide new avenues to investigate the cosmos. The uncertainty principle is an important trait of the nonclassical world, and it characterizes a significant lower bound (LB) that can be used to estimate measurement results for two noncommuting observables. Subsequently, the uncertainty principle is generalized to a new version by using the entropy and the quantum memory, that is, the quantum-memory-assisted entropic uncertainty relations (Q-M-A-E-U-Rs). Here, considering two qubit detectors coupled to scalar fields, we explore the effects of different cosmic parameters on Q-M-A-E-U-Rs and reveal the influence of the Holevo quantity on the LB of a Q-M-A-E-U-R. It is revealed that an increase in the expansion rapidity of spacetime can enhance the entropic uncertainty and decrease the ability to accurately predict the measurement outcome. The volume expansion leads to the invariance of the entropic uncertainty. An increase in the particle mass of the scalar field causes degradation in entropic uncertainty. In addition, the influence of the Holevo quantity on the Q-M-A-E-U-R’s LB can be ignored if one considers$$({\sigma _x},{\sigma _y})$$(σx,σy)as two complementary observables. Therefore, one can use the Adabi bound and Berta bound to equivalently predict the left-hand side (LHS) of the Q-M-A-E-U-R in this situation. However, when$$({\sigma _x},{\sigma _z})$$(σx,σz)are chosen as two noncommuting observables, the effect of the Holevo quantity on the LB of the uncertainty relation cannot be ignored, and the Adabi bound can always precisely achieve the LHS and predict entropic uncertainty.
A Novel Hybrid Approach for Intent Creation and Detection Using K-Means-Based Topic Clustering and Heuristic-Based Capsule Network
Authors: Magoo Chandni , Singh Manjeet 
Published: October 2022

Background: The social media revolution has offered new facilities and opportunities to the online community to communicate their intentions, opinions, and views regarding products, services, policies, and events. The identification of intent focuses on the detection of intents from user reviews, that is, whether the specific review of the user includes intention or not. Intent mining is also named intent identification which helps business organizations to identify the purchase intentions of users. However, detecting user intentions encoded in text queries is a complicated task in several Natural Language Processing (NLP) applications such as robots, smart agents, personal assistants, and search engines. The existing research works have discovered the utilization of several machine learning techniques to detect the intents from queries of users. Most works consider intent detection as a classification problem, with utterances as predefined intents. Research question: Whether the researcher resolves the detection of user intentions encoded in text queries? How the researcher solves the existing challenges based on intent mining? Purpose: The main contribution of the research is to design and implement intent detection using topic clustering and deep learning. Methodology: Initially, the dataset related to diverse queries is gathered. Then, the label creation is performed by clustering. The clustering is performed by a k-means clustering model with a cosine similarity function. Once the clustering is performed for different queries, the label is created, which is used to train the network under the detection process. For the detection, this paper uses a Heuristic-based Capsule Network (H-CapNet) that could perform the intention for a new query. The hybrid meta-heuristic algorithm with Escaping Energy searched Grey–Harris Hawks Algorithm (EEG-HHA) is used for improving the capsule network. Validation: Experimental analysis shows that the developed method has superior performance in evaluating standard datasets with other approaches. Results: From the simulation results, the accuracy of the developed EEG-HHA-CapNet for dataset 1 is secured at 3%, 1.6%, 2%, and 1.1% increased than PSO-CapNet, WOA-CapNet, HHO-CapNet, and GWO-CapNet. Conclusion: Thus, the designed user intent detection models reveal their more advanced performance based on the diverse performance and error metrics for datasets 1 and 2.
Exploring Better Black-Box Test Case Prioritization via Log Analysis
Authors: Chen Zhichao , Chen Junjie , Wang Weijing , Zhou Jianyi , Wang Meng , Chen Xiang , Zhou Shan , Wang Jianmin 
Published: October 2022

Test case prioritization (TCP)
has been widely studied in regression testing, which aims to optimize the execution order of test cases so as to detect more faults earlier. TCP has been divided into
white-box test case prioritization (WTCP)
and
black-box test case prioritization (BTCP)
. WTCP can achieve better prioritization effectiveness by utilizing source code information, but is not applicable in many practical scenarios (where source code is unavailable, e.g., outsourced testing). BTCP has the benefit of not relying on source code information, but tends to be less effective than WTCP. That is, both WTCP and BTCP suffer from limitations in the practical use.

To improve the practicability of TCP, we aim to explore better BTCP, significantly bridging the effectiveness gap between BTCP and WTCP. In this work, instead of statically analyzing test cases themselves in existing BTCP techniques, we conduct the first study to explore whether this goal can be achieved via log analysis. Specifically, we propose to mine test logs produced during test execution to more sufficiently reflect test behaviors, and design a new BTCP framework (called LogTCP), including log pre-processing, log representation, and test case prioritization components. Based on the LogTCP framework, we instantiate seven log-based BTCP techniques by combining different log representation strategies with different prioritization strategies.
We conduct an empirical study to explore the effectiveness of LogTCP. Based on 10 diverse open-source Java projects from GitHub, we compared LogTCP with three representative BTCP techniques and four representative WTCP techniques. Our results show that all of our LogTCP techniques largely perform better than all the BTCP techniques in average fault detection, to the extent that they become competitive to the WTCP techniques. That demonstrates the great potential of logs in practical TCP.
COVID-19 Infection Deteriorates the Clinical Condition and Outcomes of Acute Pancreatitis: A Meta-Analysis
Authors: Guo Yulin , Hu Shun , Wang Xiaohui , Jiang Zhe , Duan Shuangni , Cao Feng , Li Fei 
Published: October 2022

Backgrounds. The novel coronavirus disease 2019 (COVID-19) has caused a global pandemic. Pancreatic injuries have been reported in COVID-19 patients. The present meta-analysis was conducted to compare the morbidity and outcomes of AP between COVID-19 positive and negative patients. Methods. Databases including Cochrane Library, PubMed, and EMBASE were systematically searched (until July 3rd 2022). Studies with English abstracts comparing the severity and outcomes of AP between COVID-19 positive and negative patients were included. Mean differences or odds ratios with a 95% confidence interval were employed for assess variables. Risk of publication bias was assessed with funnel plots. Results. Data from 7 studies with a total of 2816 AP patients were included. COVID-19 positive was associated with higher incidences of pancreatic necrosis (OR = 1.65; 95% CI: 1.13 to 2.42,

P

= 0.01;

P

= 0.82 for heterogeneity) and persistent organ failure (OR = 6.87; 95% CI: 2.37 to 19.98,

P

= 0.0004;

P

= 0.12 for heterogeneity), especially cardiovascular failure (OR = 2.92; 95% CI: 1.66 to 5.14,

P

= 0.0002;

P

= 0.58 for heterogeneity) and acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) (OR = 3.03; 95% CI: 2.09 to 4.39,

P

< 0.00001;

P

= 0.20 for heterogeneity). COVID-19 infection induced a higher level of CRP (MD = 0.40; 95% CI: 0.16 to 0.64,

P

= 0.001;

P

< 0.00001 for heterogeneity) as well as coagulation disorders involving platelets, prothrombin time, activated partial thromboplastin time, and D-dimer (all

P

< 0.05). During hospitalization, COVID-19 positive was associated with higher ICU admission rate (OR = 2.76; 95% CI: 1.98 to 3.85

P

< 0.00001;

P

= 0.47 for heterogeneity). COVID-19 positive AP was associated with a higher mortality rate (OR = 3.70; 95% CI: 2.60 to 5.25,

P

< 0.00001;

P

= 0.12 for heterogeneity). Discussion. The number of included studies is limited and none is RCT, thus the risks of publication and selective bias could not be ignored. COVID-19 deteriorated the severity and clinical outcomes of AP, with a high incidence of morbidity and mortality.
BAF Complex Maintains Glioma Stem Cells in Pediatric H3K27M Glioma
Authors: Panditharatna Eshini , Marques Joana G. , Wang Tingjian , Trissal Maria C. , Liu Ilon , Jiang Li , Beck Alexander , Groves Andrew , Dharia Neekesh V. , Li Deyao , Hoffman Samantha E. , Kugener Guillaume , Shaw McKenzie L. , Mire Hafsa M. , Hack Olivia A. , Dempster Joshua M. , Lareau Caleb , Dai Lingling , Sigua Logan H. , Quezada Michael A. , Stanton Ann-Catherine J. , Wyatt Meghan , Kalani Zohra , Goodale Amy , Vazquez Francisca , Piccioni Federica , Doench John G. , Root David E. , Anastas Jamie N. , Jones Kristen L. , Conway Amy Saur , Stopka Sylwia , Regan Michael S. , Liang Yu , Seo Hyuk-Soo , Song Kijun , Bashyal Puspalata , Jerome William P. , Mathewson Nathan D. , Dhe-Paganon Sirano , Suvà Mario L. , Carcaboso Angel M. , Lavarino Cinzia , Mora Jaume , Nguyen Quang-De , Ligon Keith L. , Shi Yang , Agnihotri Sameer , Agar Nathalie Y.R. , Stegmaier Kimberly , Stiles Charles D. , Monje Michelle , Golub Todd R. , Qi Jun , Filbin Mariella G. 
Published: October 2022

Abstract

Diffuse midline gliomas are uniformly fatal pediatric central nervous system cancers that are refractory to standard-of-care therapeutic modalities. The primary genetic drivers are a set of recurrent amino acid substitutions in genes encoding histone H3 (H3K27M), which are currently undruggable. These H3K27M oncohistones perturb normal chromatin architecture, resulting in an aberrant epigenetic landscape. To interrogate for epigenetic dependencies, we performed a CRISPR screen and show that patient-derived H3K27M-glioma neurospheres are dependent on core components of the mammalian BAF (SWI/SNF) chromatin remodeling complex. The BAF complex maintains glioma stem cells in a cycling, oligodendrocyte precursor cell–like state, in which genetic perturbation of the BAF catalytic subunit SMARCA4 (BRG1), as well as pharmacologic suppression, opposes proliferation, promotes progression of differentiation along the astrocytic lineage, and improves overall survival of patient-derived xenograft models. In summary, we demonstrate that therapeutic inhibition of the BAF complex has translational potential for children with H3K27M gliomas.

Significance:
Epigenetic dysregulation is at the core of H3K27M-glioma tumorigenesis. Here, we identify the BRG1–BAF complex as a critical regulator of enhancer and transcription factor landscapes, which maintain H3K27M glioma in their progenitor state, precluding glial differentiation, and establish pharmacologic targeting of the BAF complex as a novel treatment strategy for pediatric H3K27M glioma.
Fá Divination, Well-being, and Coolness in Bénin, West Africa
Authors: Landry Timothy R. 
Published: October 2022

Abstract
For more than 40 years the relationships that exist between divination and knowledge have become central to anthropology’s understanding of African religious practice. This paper deemphasizes the commonly mobilized ‘divination as knowledge’ trope in favor of highlighting its role in achieving well-being. Indeed, I argue that by focusing on divination as a way of knowing ethnographers have inadvertently ignored what happens after said knowledge is acquired. It is these moments that I find to be at the heart of divination’s enduring value. Through an analysis of divination rituals, initiations, and material objects, alternative ways to examining divination in the West African rain forest are considered and explored. Looking to Fá divination, one of the major oracular systems employed by Fon speakers in the Republic of Bénin, I turn my attention to the ways in which divination helps individuals fulfill their destinies and achieve goodness in the world. In this way I argue that West African systems of divination are only secondarily about knowledge and first and foremost about achieving a sense of balance (coolness) and well-being.
Tobacco Control and The Council of Europe: the Potential and Limits of the Collective Complaints Procedure of the European Social Charter
Authors: Bosi Giulia 
Published: October 2022

Abstract
The role of the Council of Europe (CoE) in tobacco control remains largely unexplored. This paper aims to fill this gap, focusing on the CoE’s European Social Charter. Article 11 of the Charter protects the right to health, and adequate tobacco control measures are necessary to respect this article. This paper examines the potential and limits of the Collective Complaints procedure, one of the two monitoring mechanisms of the Charter, as a means to evaluate the compliance of national tobacco control measures with Article 11. It demonstrates that, so far, this mechanism has never been used in this way. However, although the Collective Complaints procedure presents several drawbacks, it should not be underestimated. Indeed, it possesses certain features, such as the collective nature of the complaint and the lack of the requirement of the exhaustion of domestic remedies, which might make it a particularly suitable tool for the abovementioned purpose.
Compromises and Asymmetries in the European Health Data Space
Authors: Terzis Petros 
Published: October 2022

Abstract
In the post-pandemic world, the ability of researchers to reuse, for the purposes of scientific research, data that had been collected by others and for different purposes has rightfully become a policy priority. At the same time, new technologies with tremendous capacity in data aggregation and computation open new horizons and possibilities for scientific research. It is in this context that the European Commission published in May 2022 its proposal for a sector-specific regulation aiming at establishing the legal landscape and governance mechanisms for the secondary use of health data within the European Union. The ambitious project is centred on administrative efficiency and aspires to unleash the potential of new technologies. However, the quest for efficiency usually comes with privacy compromises and power asymmetries and the case of the European Health Data Space Regulation is no different. This paper draws attention to some of these compromises and suggests specific amendments.
Guiding Environmental Messaging by Quantifying the Effect of Extreme Weather Events on Public Discourse Surrounding Anthropogenic Climate Change
Authors: Noviello Andrew , Menghani Sameer , Choudhri Shaan , Lee Ian , Mohanraj Bhushan , Noviello Alexander 
Published: October 2022

Abstract
Anthropogenic climate change promises to bring existential changes to human society in the coming years. One such example of these changes is the increasing frequency of extreme weather capable of causing significant damage. Despite this, many Americans are acutely unaware of the relationship between climate change and extreme weather events, perhaps because of a lack of direct messaging about it. This study analyzed the effects of natural disasters on climate change discussion sentiment and volume through news media and Twitter posts. The study hypothesized that specific major natural disasters would lead to increases in the number of climate change–related Twitter posts and news articles, as well as more positive climate sentiment, indicative of belief in the severity of global warming. Through an analysis of almost 35 million climate change–related tweets and 300 000+ news articles, along with the collection of over 130 million natural-disaster-related tweets published in the United States between 2010 and 2020, media volume rose an average of 10% around specific extreme weather events, corroborating the first aspect of the hypothesis. The ratio of positive to negative sentiment tweets, however, decreased, suggesting the tendency of extreme weather to elicit more response from climate change deniers than supporters. Thus, increased climate change discussion around major natural disasters represents a missed opportunity for continuing to drive forward climate change messaging and awareness in the United States.

Significance Statement
Extreme weather events threaten Americans’ lives and livelihoods. In turn, anthropogenic climate change has been shown to amplify the frequency and intensity of these weather events, creating uncertainty for communities across the country. Despite the proven connection between climate change and natural disasters, public messaging often fails to leverage anxiety over extreme weather to drive support for environmental action. This study sought to quantify the media relationships of climate change and natural disasters to inform awareness strategies.
Response Rates of Invasive Lobular Cancer in Patients Undergoing Neoadjuvant Endocrine or Chemotherapy
Authors: Jakub James W. , Zhang Wenexia , Solanki Malvika , Yonkus Jennifer , Boughey Judy C. , Harmsen Scott , Giridhar Karthik V. 
Published: October 2022

Background A gap remains in the role of neoadjuvant therapy for patients with ILC. Method Single-institution retrospective review of patients with ILC who received neoadjuvant therapy between 2008 and 2019. Results 141 patients met inclusion criteria: 71 neoadjuvant chemotherapy (NACT) and 70 neoadjuvant endocrine therapy (NET). 7/71 (9.9%) patients had a pCR following NACT compared to 1/70 (1.4%) with NET ( P = .063). pCR was observed in 5/18 (27.8%) patients with Her2Neu-positive disease following NACT, compared to 2/53 (3.8%) with Her2Neu-negative disease ( P = .01). For luminal B tumors, median Ki-67 decrease was similar following NACT and NET (18.3 vs 16.3, P = .26). T category decreased in 59 (42.1%) patients following neoadjuvant therapy, increased in 9 (6.4%), and was unchanged in 72 (51.4%). More patients had an increase (28.6%) than decrease (12.1%) in their N category, including 13/60 (21.7%) who were clinically node-negative at diagnosis and identified to have node-positive disease following neoadjuvant therapy, at definitive surgery. Conclusion In Her2Neu-negative ILC, the potential of a pCR with NACT or NET is low. Most patients’ nodal status and tumor size remain unchanged. There is a potential for pathologic stage to be higher at surgery compared to the clinical stage prior to neoadjuvant therapy.
Ghost Fat: Altered Female Body Perception After Bariatric Surgery
Authors: Souza André Luiz L. , de Souza Perciliany M. , Mota Bruna E. F. , Xavier Christian L. F. , Santiago Fernando G. , Oliveira Juliano S. , Borges Samir A. , Bearzoti Eduardo , Gama Eliane F. , Souza Gabriela G. L. 
Published: October 2022

Body perception is an individual’s ability to recognize their body in attitudinal and/or dimensional aspects. We investigated women’s body perceptions before and after bariatric surgery. Participants were 31 women ( M age = 36.23, SD = 7.95 years old) with an average pre-operative body mass index of 44.58 ( SD = 4.65) kg/m2. We collected anthropometric and body perception measures (attitudinal body image [ABI] and dimensional body image [DBI]) before bariatric surgery and 30, 60, 90, and 120 days after it. There was an average decrease of 21.09% in participants’ body weight over the 120 days. Regarding ABI, 51.61% of participants had high body dissatisfaction before surgery, and this proportion of dissatisfied participants decreased to 3.23% 120 days after surgery. We observed no statistically significant differences in DBI perceptions. Fast weight loss caused by bariatric surgery appeared to generate a perception of ghost fat. Somatosensory interventions and/or a longer follow-up are needed to alter this persistent distortion of body dimensions.
Neurocognitive Functions in Patients with Comorbid Hepatitis C and Opioid Dependence: A Comparative Study
Authors: Ghosh Abhishek , Mahintamani Tathagata , Rana Devender K. , Basu Debasish , Mattoo Surendra Kumar , Premkumar Madhumita , Singh Geetesh Kumar 
Published: October 2022

Background: Hepatitis C virus (HCV) infection is commonly comorbid with opioid dependence (OD). We wanted to compare the neurocognitive functions of OD subjects with or without HCV [HCV (+), HCV (–)] and healthy controls (HC). Methods: We recruited 40 adult subjects (age 18–55 years) in each group. HCV(+) group had a detectable viral load. Subjects with HIV or hepatitis B infection, head injury, epilepsy, or comorbid mental illness were excluded. We administered Standard Progressive Matrices (SPM), Wisconsin Card Sorting Test, Iowa Gambling Task (IGT), trail-making tests A and B, and verbal and visual N-back tests (NBT) one week after opioid abstinence. The group differences in cognitive performance were adjusted for age and years of education. Effect size (ES) is expressed as Cohen’s D. Results: The HCV(+) and HCV(–) groups did not differ in potential effect modifiers (age and years of education) or confounders (age of opioid initiation, duration of use, dependence severity, tobacco use, and cannabis use) of neuropsychological functioning. HCV(+) showed significantly poorer performance than HCV(–) in SPM (P = 0.006; ES = 0.72). Both HCV(+) and HCV(–) performed worse than controls in IGT(P < 0.001; ES = 0.8) and visual NBT[P < 0.01 and ES > 1 for total errors]; HCV(+) had a larger ES of group difference than HCV(–). HCV(+) had higher error scores in verbal NBT than control. Conclusion: HCV(+) has poorer general intellectual ability and reasoning than HCV(–) persons and controls. Chronic HCV infection causes a higher magnitude of dysfunction in decision-making and visual working memory in opioid-dependent individuals.
The Prevalence of Comorbidities and Associated Factors among Patients with Dementia in the Indian Setting: Meta-analysis of Observational Studies
Authors: Varkey Biji P. , Joseph Jaison , Haokip Hoineiting Rebecca , Sharma Suresh K , Mathews Elezebeth , Ameen Shahul , Narasimha Venkata Lakshmi , Dhandapani Manju , Grover Sandeep 
Published: October 2022

Background: Patients with dementia usually have multiple comorbidities. The presence of comorbidities may exacerbate the progression of dementia and decreases the patient’s ability to participate in health maintenance activities. However, there is hardly any meta-analysis estimating the magnitude of comorbidities among patients with dementia in the Indian context. Methods: We searched PubMed, Scopus, and Google Scholar, and relevant studies conducted in India were included. The risk of bias was assessed and a random-effects meta-analysis model was used in which I 2 statistics were calculated to measure heterogeneity among studies. Results: Fourteen studies were included in the meta-analysis based on the inclusion and exclusion criteria. Altogether, we found the coexistence of comorbid conditions such as hypertension (51.10%), diabetes (27.58%), stroke (15.99%), and factors like tobacco use (26.81 %) and alcohol use (9.19%) among patients with dementia in this setting. The level of heterogeneity was high due to differences in the methodologies in the included studies Conclusions: Our study found hypertension as the most common comorbid condition among patients with dementia in India. The observed lacuna of methodological limitations in the studies included in the current meta-analysis provides the urgent need for good quality research to successfully meet the challenges ahead while devising appropriate strategies to treat the comorbidities among patients with dementia.