bluuebunny/crossref_metadata_2025_split huggingface dataset:
Topological tensor invariants and the current algebra approach: analysis of 196 nonleptonic two-body decays of single and double charm baryons – a review
Authors: Groote Stefan , Körner Jürgen G. 
Published: April 2022

AbstractWe shed new light on the standard current algebra approach to the nonleptonic two-body decays of single and double heavy charm baryons. By making use of the completeness relation for the flavor wave functions of the ground state baryon $$\mathbf{20'}$$

20
′

representation we are able to rewrite the results of the current algebra approach in terms of the seven topological tensor invariants describing the decays. The representation of the current algebra results in terms of topological tensor invariants depends only on the initial and final state of the process. The summation over intermediate states inherent to the current algebra result is automatically taken care of in the tensor representation. In this way one arrives at a new, quick and very compact assessment of the results of the current algebra/pole model calculation. For example, one can quickly identify the decays in which the p.v. S-wave amplitude is predicted to vanish implying zero polarization asymmetries in these decays. We provide tables of the values of the seven topological tensor invariants for all Cabibbo favored and singly and doubly Cabibbo suppressed nonleptonic single and double charm baryon decays. In total we treat 196 charm baryon decays. We also discuss the charm preserving $$\Delta C=0$$

Δ
C
=
0

decays of single charm baryons and the usual hyperon decays.
A Novel Segmentation Error Minimization-Based Method for Multilevel Optimal Threshold Selection Using Opposition Equilibrium Optimizer
Authors: Das Gyanesh , Panda Rutuparna , Samantaray Leena , Agrawal Sanjay 
Published: April 2022

Image segmentation is imperative for image processing applications. Thresholding technique is the easiest way of partitioning an image into different regions. Mostly, entropy-based threshold selection methods are used for multilevel thresholding. However, these methods suffer from their dependencies on spatial distribution of gray values. To solve this issue, a novel segmentation error minimization (SEM)-based method for multilevel optimal threshold selection using opposition equilibrium optimizer (OEO) is suggested. In this contribution, a new segmentation score (SS) (objective function) is derived while minimizing the segmentation error function. Our proposal is explicitly free from gray level spatial distribution of an image. Optimal threshold values are achieved by maximizing the SS (fitness value) using OEO. The key to success is the maximization of score among classes, ensuring the sharpening of the shred boundary between classes, leading to an improved threshold selection method. It is empirically demonstrated how the optimal threshold selection is made. Experimental results are presented using standard test images. Standard measures like PSNR, SSIM and FSIM are used for validation The results are compared with state-of-the-art entropy-based technique. Our method performs well both qualitatively and quantitatively. The suggested technique would be useful for biomedical image segmentation.
ANALYSIS OF SPECIFIC PARAMETERS FOR SKIN TUMOR CLASSIFICATION
Authors: MESSADI MAHAMMED , MAHMOUDI SAïD , BESSAID ABDELHAFID 
Published: April 2022

During the last years, computer vision-based diagnosis systems have been widely used in several hospitals and dermatology clinics, aiming mostly at the early detection of malignant melanoma tumor, which is among the most frequent types of skin cancer, versus other types of nonmalignant cutaneous diseases. They grow in melanocytes, the cells responsible for pigmentation. This type of cancer is increasing rapidly and its related mortality rate is increasing more modestly, and inversely proportional to the tumor’s thickness. The mortality rate can be decreased by earlier detection of suspicious lesions and better prevention. In this work, we are interested in extracting all specific attributes which can be used for computer-aided diagnosis of melanoma. In the first step of the proposed work, we applied the Dull Razor [Lee T et al., Dullrazor: A software approach to hair removal from images, Cancer Control Research, British Columbia Cancer Agency, Vancouver, Canada, Vol. 21, No. 6, pp. 533–543, 1997] technique to images to reduce the influence of small structures, hairs, bubbles, light reflection. In the second step, a new fuzzy level set algorithm is proposed in order to facilitate the medical image segmentation task. It is able to directly evolve from the initial segmentation proposed that uses a spatial fuzzy clustering approach. The controlling parameters of the level set evolution are also estimated from the results of the fuzzy clustering step. This step is essential to characterize the shape of the lesion and also to locate the tumor to be analyzed. In this paper, we have also treated the necessity to extract all the specific attributes used to develop a characterization methodology that enables specialists to take the best possible diagnosis. For this purpose, our proposal relies largely on visual observation of the tumor while dealing with some characteristics as color, texture or form. The method used in this paper is called ABCD. It requires calculating four factors: Asymmetry ([Formula: see text], Border ([Formula: see text], Color ([Formula: see text], and Diversity ([Formula: see text]. Finally, these parameters are used to construct a classification module based on artificial neural network for the recognition of malignant melanoma.
Two Potential Biomarkers for the Diagnosis and Prognosis of Laryngeal Carcinoma: CCL20 and IL-17A
Authors: Teng Yaoshu , He Hanyi , Wang Hongmei , Lu Yueyue , Wang Xinlu , Li Yong , Lin Zhihong 
Published: April 2022

This study is to uncover the possibilities of CCL20 and IL-17A to be potential hallmarks for laryngeal carcinoma. Relative levels of CCL20 and IL-17A in laryngeal carcinoma tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Correlation between CCL20 and IL-17A was analyzed by Pearson correlation test. Receiver operating characteristic (ROC) curves were depicted for assessing diagnostic values of CCL20 and IL-17A in laryngeal carcinoma. In addition, 98 laryngeal carcinoma patients were followed up for 5 years. Their follow-up data were utilized for assessing prognostic values of CCL20 and IL-17A. CCL20 and IL-17A were upregulated in laryngeal carcinoma tissues than those of normal ones. ROC curves identified diagnostic values of CCL20 (

AUC
=
0.9719

,

cutoff

value
=
4.86

,

sensitivity
=
98.98
%

,

specificity
=
87.76
%

) and IL-17A (

AUC
=
0.7965

,

cutoff

value
=
3.39

,

sensitivity
=
71.31
%

,

specificity
=
71.52
%

) in laryngeal carcinoma. Worse prognosis was observed in laryngeal carcinoma patients expressing high level of CCL20 or IL-17A. CCL20 and IL-17A are upregulated in laryngeal carcinoma tissues, which are unfavorable factors for the prognosis of laryngeal carcinoma. CCL20 and IL-17A are promising hallmarks of laryngeal carcinoma.
Effects of Seamless Operating Room Nursing Combined with Multistyle Health Education on the Psychological State, Rehabilitation Quality, and Nursing Satisfaction in Patients with Internal Fixation of Femoral Fracture
Authors: Liu Qingyan , Wang Juan , Han Jie , You Tongyang , Li Lijuan 
Published: April 2022

Objective. To explore the effects of seamless operating room nursing combined with multistyle health education on the psychological state, rehabilitation quality, and nursing satisfaction in patients with internal fixation of femoral fracture. Methods. Eighty patients who received internal fixation of femoral fracture in our hospital (November 2020–November 2021) were chosen as the research objects, and their clinical data were retrospectively analyzed. They were divided into experimental group and control group according to the sequence of hospital admission. In perioperative period, the control group received routine nursing measures and the experimental group received seamless operating room nursing combined with multistyle health education. The patients’ psychological state, rehabilitation quality, and nursing satisfaction after intervention were compared between the two groups. Results. Compared with the control group, the experimental group achieved remarkably lower score of Profile of Mood States (POMS) after nursing (

p

< 0.001). The experimental group had much higher cognitive level scores, Harris hip score (HHS), Functional Independence Measure (FIM) score, and nursing satisfaction score in comparison with the control group (

p

< 0.05). In perioperative period, the experimental group had much lower total incidence of complications in comparison with the control group (

p

< 0.05). Conclusion. Seamless operating room nursing combined with multistyle health education, as an effective measure to improve the rehabilitation quality of the patients with internal fixation of femoral fracture, has better effects on improving the patients’ psychological state and reducing complications in perioperative period in comparison with the routine nursing intervention. Further studies are conducive to providing a better solution for the patients with internal fixation of femoral fracture.
Adapted to Survive: Targeting Cancer Cells with BH3 Mimetics
Authors: Montero Joan , Haq Rizwan 
Published: April 2022

Abstract

A hallmark of cancer is cell death evasion, underlying suboptimal responses to chemotherapy, targeted agents, and immunotherapies. The approval of the antiapoptotic BCL2 antagonist venetoclax has finally validated the potential of targeting apoptotic pathways in patients with cancer. Nevertheless, pharmacologic modulators of cell death have shown markedly varied responses in preclinical and clinical studies. Here, we review emerging concepts in the use of this class of therapies. Building on these observations, we propose that treatment-induced changes in apoptotic dependency, rather than pretreatment dependencies, will need to be recognized and targeted to realize the precise deployment of these new pharmacologic agents.

Significance:
Targeting antiapoptotic family members has proven efficacious and tolerable in some cancers, but responses are infrequent, particularly for patients with solid tumors. Biomarkers to aid patient selection have been lacking. Precision functional approaches that overcome adaptive resistance to these compounds could drive durable responses to chemotherapy, targeted therapy, and immunotherapies.
Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization
Authors: Sakamoto Naoki , Akimoto Youhei 
Published: April 2022

Abstract
We propose a novel constraint-handling technique for the covariance matrix adaptation evolution strategy (CMA-ES). The proposed technique is aimed at solving explicitly constrained black-box continuous optimization problems, in which the explicit constraint is a constraint whereby the computational time for the constraint violation and its (numerical) gradient are negligible compared to that for the objective function. This method is designed to realize two invariance properties: invariance to the affine transformation of the search space, and invariance to the increasing transformation of the objective and constraint functions. The CMA-ES is designed to possess these properties for handling difficulties that appear in black-box optimization problems, such as non-separability, ill-conditioning, ruggedness, and the different orders of magnitude in the objective. The proposed constraint-handling technique (CHT), known as ARCH, modifies the underlying CMA-ES only in terms of the ranking of the candidate solutions. It employs a repair operator and an adaptive ranking aggregation strategy to compute the ranking. We developed test problems to evaluate the effects of the invariance properties, and performed experiments to empirically verify the invariance of the algorithm. We compared the proposed method with other CHTs on the CEC 2006 constrained optimization benchmark suite to demonstrate its efficacy. Empirical studies reveal that ARCH is able to exploit the explicitness of the constraint functions effectively, sometimes even more efficiently than an existing box-constraint handling technique on box-constrained problems, while exhibiting the invariance properties. Moreover, ARCH overwhelmingly outperforms CHTs by not exploiting the explicit constraints in terms of the number of objective function calls.
Ritual Officials and the Rise of Confucian Ritualism in the Eleventh Century
Authors: Yu Cheung Hiu 
Published: April 2022

Abstract
By tracing the vicissitudes of court ritual officials and related ritual institutions in the eleventh century, this article argues that the rise of Confucian ritualism was accompanied by the marginalization of ritual officials and institutions in the central government of the Northern Song (960–1127). After the mid-eleventh century, “learning-oriented ritualists,” who acquired their knowledge of court rituals mostly through Confucian ritual Classics, succeeded the fallen ritual officials to offer new insights and perspectives on court ritual reforms. During the late eleventh century, some ritualists, most of whom were associated with the intellectual circle of the celebrated reformer Wang Anshi 王安石 (1027–1086), gradually dominated the interpretation of court rituals. Their endeavors in redefining court rituals led to Zhu Xi’s 朱熹 (1130–1200) experimental reforms of both court and social rituals in the Southern Song (1127–1279), which profoundly shaped the society and culture of late imperial China.
Language Maintenance and Shift in Highly Multilingual Ecologies
Authors: Li (李向允) Xiangyun , Vosters Rik , Xu (徐建维) Jianwei 
Published: April 2022

Abstract
Brussels is an officially French-Dutch bilingual city, yet in reality, it is profoundly and increasingly multilingual. Earlier research on the linguistic situation in Brussels has predominantly focused on the competing dominant languages, resulting in very limited scholarly attention to smaller language communities. This paper addresses this blind spot by exploring the language repertoires, proficiencies and practices of members of the Chinese communities. Linking insights from language ecology to the study of language maintenance and shift, and informed by the questionnaire data, we discuss how the changing sociodemographic backgrounds of the participants affect the language maintenance and shift of the whole Chinese communities. Our results do not reveal a traditional pattern of shift toward the dominant majority languages, but rather hint at a community-level shift toward more complex multilingual repertoires with an increased role for English and Mandarin, in tune with Brussels’ increasingly international and multilingual context at large.
Ethics at the Crossroads: Replies to Koopman, Livingston, and Slater
Authors: Marchetti Sarin 
Published: April 2022

Abstract
In this article I address a number of issues raised by Colin Koopman, Alex Livingston, and Michael Slater to my reading of James’s ethics as defended in my 2015 book having to do with, in turn, the relationship between ethics and politics, ethics and psychological types, and ethics and religion. In accounting for these charges, I vindicate and further qualify my interpretation of James as a moral therapist.
La transmission d’al-Ǧāmiʿ de Maʿmar Ibn Rāšid (m. 153/770) en al-Andalus et l’apport du manuscrit d’Ankara daté de 364/974
Authors: Jaouhari Mustapha 
Published: April 2022

Résumé
De par son ancienneté, le Ǧāmiʿ de Maʿmar Ibn Rāšid (m. 153/770) occupe une place cruciale dans l’histoire de la transmission des hadiths. Composé très tôt à Sanaa, il a servi de source principale aux différents recueils canoniques de l’islam sunnite. L’auteur en est un disciple de Qatāda Ibn Diʿāma (m. 118/735) et de Hammām Ibn Munabbih (m. 132/750), entre autres. Un des premiers transmetteurs d’al-Ǧāmiʿ est Abū Bakr ʿAbd al-Razzāq al-Ṣanʿānī (m. 211/826) qui l’enseignait en même temps que son recueil al-Muṣannaf, d’où la confusion entre les deux recueils. Le manuscrit d’Ankara fournit la preuve éclatante qu’il s’agit là d’un recueil autonome. Copié à Tolède, sur parchemin et daté de 364/974, ce manuscrit est aujourd’hui la plus ancienne copie connue de ce texte et, en même temps, l’un des rares manuscrits andalous du IVe/Xe siècle qui nous soient parvenus. Les nombreux actes de récitation (qirāʾa) figurant notamment dans les pages des titres de ses fascicules lui procurent une valeur supplémentaire et permettent d’en reconstituer l’histoire et identifier les personnages qui l’ont étudié et ceux qui l’ont diffusé. Le manuscrit nous renseigne sur deux siècles de transmission continue, d’abord à Tolède, puis à Huesca, ensuite à Valence, sous l’autorité de personnages célèbres qui furent tous cadis de leur ville.
Influence of Sensory Conflict on Perceived Timing of Passive Rotation in Virtual Reality
Authors: Chung William , Barnett-Cowan Michael 
Published: April 2022

Abstract
Integration of incoming sensory signals from multiple modalities is central in the determination of self-motion perception. With the emergence of consumer virtual reality (VR), it is becoming increasingly common to experience a mismatch in sensory feedback regarding motion when using immersive displays. In this study, we explored whether introducing various discrepancies between the vestibular and visual motion would influence the perceived timing of self-motion. Participants performed a series of temporal-order judgements between an auditory tone and a passive whole-body rotation on a motion platform accompanied by visual feedback using a virtual environment generated through a head-mounted display. Sensory conflict was induced by altering the speed and direction by which the movement of the visual scene updated relative to the observer’s physical rotation. There were no differences in perceived timing of the rotation without vision, with congruent visual feedback and when the speed of the updating of the visual motion was slower. However, the perceived timing was significantly further from zero when the direction of the visual motion was incongruent with the rotation. These findings demonstrate the potential interaction between visual and vestibular signals in the temporal perception of self-motion. Additionally, we recorded cybersickness ratings and found that sickness severity was significantly greater when visual motion was present and incongruent with the physical motion. This supports previous research regarding cybersickness and the sensory conflict theory, where a mismatch between the visual and vestibular signals may lead to a greater likelihood for the occurrence of sickness symptoms.
Real-Time Probabilistic Tropical Cyclone Forecasting in the Cloud
Authors: Whitcomb Timothy R. , Arevalo Daniel J. , Moskaitis Jonathan R. , Komaromi William A. , Doyle James D. , Huang Andrew , Wodka Jay , Noon Frederick , May Margaret M. , Williamson Fred , Reinecke Patrick A. 
Published: April 2022

Abstract
Despite improvements in predicting the track and intensity of tropical cyclones (TCs), these storms with major societal and economic impacts continue to pose challenges for statically provisioned computational resources. The number of active storms varies from day to day, leading to regular bursts of irregular computational loads atop an already busy production schedule for weather prediction centers. The emergence of high-resolution ensemble TC prediction to quantify the uncertainty in track and intensity exacerbates this problem by requiring multiple forecasts run for each storm, each representing a possible outcome. With more than a decade of progress in the literature describing research and real-time numerical weather prediction in the cloud, we set out to evaluate if the commercial cloud environment could cope with the unique demands of TC ensemble forecasts. We describe a demonstration using a high-performance computing environment within the Microsoft Azure cloud to test dynamic resource provisioning to address time-varying resource challenges. We deployed existing operational models, implemented a combination of vendor-provided and open-source tools to orchestrate the cycling production workflows, and developed techniques for automatic error handling to keep production on schedule with minimal operator intervention. Despite challenges, our production pipeline from data ingest, forecast integration, graphics generation, and dissemination via social media was able to produce real-time forecasts of storm track and intensity with product latencies commensurate with existing operational forecasting systems.
Detection of IgA Antiphospholipid Antibodies Does not Improve Thrombotic Antiphospholipid Syndrome Classification: A two-Center Study
Authors: Su Zhenzhen , Huang Zhuochun , Zhao Jiuliang , Li Mengtao , Hu Jing , Zeng Xiaofeng , Hu Chaojun , Yang Bin 
Published: April 2022

Background Thrombotic antiphospholipid syndrome (APS) is a systemic autoimmune disease; its diagnosis requires meeting both clinical and laboratory criteria. Prevalence rates of immunoglobulin (Ig) A anticardiolipin antibodies (aCL) and IgA anti-β2 glycoprotein I antibodies (aβ2GPI) remain unknown, and the clinical value of these antibodies to APS classification remains controversial. Therefore, we aimed to examine both items in the Chinese population. Methods Using chemiluminescence immunoassay, antiphospholipid antibodies (aPL) were quantified in 12,582 hospital-based general population, 278 thrombotic APS patients, and 233 healthy controls. Results In the general population, the positive rates of IgA aCL and IgA aβ2GPI antibodies were 2.87% and 1.99%, respectively. Furthermore, isolated IgA aPL-positivity rate was 0.72% in patients with APS, which was comparable to those in the general population (0.68%, p = 1) and in healthy controls (0.43%, p = 1). Among the IgA aPL-positive individuals in the general population, isolated IgA-positive individuals had lower serum levels of IgA antibodies ( p = 0.007 for IgA aCL and p = 0.059 for IgA aβ2GPI). Regarding to APS classification, adding IgA aPL into conventional aPL assays may not improve and may even deteriorate the net reclassification index for APS; besides, no association between thrombosis and IgA aPL was observed. Conclusions this study assessed the prevalence of various aPL in Chinese population. IgA aPL may not enhance the classification ability of established laboratory criteria for thrombotic APS. Our data do not support the addition of IgA aPL to conventional aPL assays.
Fitting mixture models for feeling and uncertainty for rating data analysis
Authors: Cerulli Giovanni , Simone Rosaria , Di Iorio Francesca , Piccolo Domenico , Baum Christopher F. 
Published: April 2022

In this article, we present the command cub, which fits ordinal rating data using combination of uniform and binomial (CUB) models, a class of finite mixture distributions accounting for both feeling and uncertainty of the response process. CUB identifies the components that define the mixture in the baseline model specification. We apply maximum likelihood methods to estimate feeling and uncertainty parameters, which are possibly explained in terms of covariates. An extension to inflated CUB models is discussed. We also present a subcommand, scattercub, for visualization of results. We then illustrate the use of cub using a case study on students’ satisfaction for the orientation services provided by the University of Naples Federico II in Italy.