bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-modality human phenotyping to examine subjective and objective health afflictions in former professional American-style football players: The In-Person Assessment (IPA) protocol
Authors: Cortez Bryan , Valdivia Chelsea , Keating Dylan , Marengi Dean , Bates Trevor , Brown Cheyenne , Dairi Inana , Doyle Michael , Keske Robyn , Connor Ann , Grashow Rachel , Tenforde Adam , Wasfy Meagan M. , Weisskopf Marc G. , Speizer Frank , Zafonte Ross , Baggish Aaron 
Published: March 2022

BackgroundParticipation in American-style football (ASF), one of the most popular sports worldwide, has been associated with adverse health outcomes. However, prior clinical studies of former ASF players have been limited by reliance on subjective self-reported data, inadequate sample size, or focus on a single disease process in isolation.ObjectiveTo determine the burden of objective multi-system pathology and its relationship with subjective health complaints among former professional ASF players.MethodsThe In-Person Assessment is a case-control, multi-day, deep human phenotyping protocol designed to characterize and quantify pathology among former professional ASF players. Participants, recruited from an on-going large-scale longitudinal cohort study, will include 120 men who report either no health conditions, a single health condition, or multiple health conditions across the key domains of cardiometabolic disease, disordered sleep, chronic pain, and cognitive impairment. Data will be collected from validated questionnaires, structured interviews, physical examinations, multi-modality imaging, and functional assessments over a 3-day study period. A pilot study was conducted to assess feasibility and to obtain participant feedback which was used to shape the final protocol.ResultsThis study provides a comprehensive assessment of objective multi-system pathology and its relationship with subjective health complaints among former professional ASF players.ConclusionThe study will determine whether subjective health complaints among former professional ASF players are explained by objective explanatory pathology and will provide novel opportunities to examine the interrelatedness of co-morbidities. It is anticipated that this protocol will be applicable to other clinical and occupational populations.
Profiling of phytochemicals from aerial parts of Terminalia neotaliala using LC-ESI-MS2 and determination of antioxidant and enzyme inhibition activities
Authors: Shahzad Muhammad Nadeem , Ahmad Saeed , Tousif Muhammad Imran , Ahmad Imtiaz , Rao Huma , Ahmad Bilal , Basit Abdul 
Published: March 2022

Objectives
Owing to extraordinary healing power, Terminalia species have been used in traditional medicine systems to treat various diseases. Many folklore uses of Terminalia neotaliala (Madagascar’s almond) included treating arterial hypertension, diabetes, diarrhea, dysentery, colic, oral and digestive candidiasis, intestinal parasitic infections, inflammatory skin conditions, postpartum care, and mycotic infections but nevertheless scientifically explored for its medicinal and pharmacological importance. Therefore, the current study intended to prepare methanolic extract and its fractionation with hexane, chloroform, and butanol followed by evaluation of their polyphenolic content, biological activities, and LCMS analysis. The biological study included antioxidant activity and enzyme inhibition assay i.e., α-glucosidase and urease. The insight study of biologically active secondary metabolites of butanol fraction (BUAE) was performed through LCMS.

Methods
The total phenolic content (TPC) and total flavonoid content (TFC) of hydroalcoholic and its fractions were estimated using the Folin-Ciocalteu and aluminum chloride method. The total tannin content (TTC) was determined using the Folin-Denis spectrophotometric method. Similarly, the antioxidant potential of HAAE, HEAE, CFAE, and BUAE was determined using four methods as DPPH (1,1-diphenyl-2-picrylhydrazyl), 2,2-azinobis(3-ethylbenothiazoline)-6-sulfonic acid, cupric reducing antioxidant capacity (CUPRAC), and ferric reducing antioxidant power (FRAP). The sample extracts were also evaluated against two clinically important enzymes i.e., α-glucosidase and urease.

Results
The BUAE (butanol aerial fraction) showed the highest TPC (234.79 ± 0.12 mg.GAE.g-1 DE), TFC (320.75 ± 12.50 mg.QE.g-1 DE), and TTC (143.36 ± 4.32 mg.TA.Eq.g-1 DE). The BUAE also showed the highest scavenging potential determined by DPPH (642.65 ± 1.11 mg.TEq.g-1 DE) and ABTS (543.17 ± 1.11 mg.TEq.g-1 DE), and the metal-reducing capacity determined by CUPRAC (1510.41 ± 4.45 mg.TEq.g-1 DE) and FRAP (739.81 ± 19.32 mg.TEq.g-1 DE). The LCMS of BUAE identified 18 different biologically active phytoconstituents validating a rich source of hydrolyzable tannins including ellagitannins and gallitannins.

Conclusion
The present study concluded that T. neotaliala is a rich source of polyphenols capable of neutralizing the damage caused by free radical accumulation in the cells and tissues. The significant antioxidant results and identification of high molecular weight hydrolyzable tannins enlightened the medicinal importance of T. neotaliala.
Punk Identities, Punk Utopias: Global Punk and Media, Russ Bestley, Mike Dines, Matt Grimes and Paula Guerra (eds) (2021)
Authors: Raghunath Anita 
Published: March 2022

Review of: Punk Identities, Punk Utopias: Global Punk and Media, Russ Bestley, Mike Dines, Matt Grimes and Paula Guerra (eds) (2021)
Bristol: Intellect Books, 260 pp.,
ISBN 978-1-78938-412-3, p/bk, £29.50
Reversing Into The Future: New Wave Graphics 1977–1990, Andrew Krivine (2021)
Authors: Bestley Russ 
Published: March 2022

Review of: Reversing Into The Future: New Wave Graphics 1977–1990, Andrew Krivine (2021)
London: Pavilion, 336 pp.,
ISBN 978-1-91166-395-9, h/bk, £35.00
Souvenir: London, 1979–1986, Michael Bracewell (2021)
Authors: Loydell Rupert 
Published: March 2022

Review of: Souvenir: London, 1979–1986, Michael Bracewell (2021)
London: White Rabbit, 124 pp.,
ISBN 978-1-47462-230-1, h/bk, £14.99
Sub-elliptic boundary value problems in flag domains
Authors: Orponen Tuomas , Villa Michele 
Published: March 2022

AbstractAflag domain inℝ3{\mathbb{R}^{3}}is a subset ofℝ3{\mathbb{R}^{3}}of the form{(x,y,t):y<A⁢(x)}{\{(x,y,t):y<A(x)\}}, whereA:ℝ→ℝ{A\colon\mathbb{R}\to\mathbb{R}}is a Lipschitz function. We solve the Dirichlet and Neumann problems for the sub-elliptic Kohn–Laplacian△♭=X2+Y2{\bigtriangleup^{\flat}=X^{2}+Y^{2}}in flag domainsΩ⊂ℝ3{\Omega\subset\mathbb{R}^{3}}, withL2{L^{2}}-boundary values. We also obtain improved regularity for solutions to the Dirichlet problem if the boundary values have first orderL2{L^{2}}-Sobolev regularity. Our solutions are obtained as sub-elliptic single and double layer potentials, which are best viewed as integral operators on the first Heisenberg group. We develop the theory of these operators on flag domains, and their boundaries.
Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks
Authors: Adewumi Tosin , Liwicki Foteini , Liwicki Marcus 
Published: March 2022

Abstract
Word2Vec is a prominent model for natural language processing tasks. Similar inspiration is found in distributed embeddings (word-vectors) in recent state-of-the-art deep neural networks. However, wrong combination of hyperparameters can produce embeddings with poor quality. The objective of this work is to empirically show that Word2Vec optimal combination of hyper-parameters exists and evaluate various combinations. We compare them with the publicly released, original Word2Vec embedding. Both intrinsic and extrinsic (downstream) evaluations are carried out, including named entity recognition and sentiment analysis. Our main contributions include showing that the best model is usually task-specific, high analogy scores do not necessarily correlate positively with F1 scores, and performance is not dependent on data size alone. If ethical considerations to save time, energy, and the environment are made, then relatively smaller corpora may do just as well or even better in some cases. Increasing the dimension size of embeddings after a point leads to poor quality or performance. In addition, using a relatively small corpus, we obtain better WordSim scores, corresponding Spearman correlation, and better downstream performances (with significance tests) compared to the original model, which is trained on a 100 billion-word corpus.
Dirac series for complex 𝐸7
Authors: Dong Chao-Ping , Wong Kayue Daniel 
Published: March 2022

AbstractThis paper classifies the Dirac series for complexE7E_{7}. As applications, we verify a few conjectures raised in 2011, 2019 and 2020 for this exceptional Lie group. In particular, according to Conjecture 1.1 of Barbasch and Pandžić [Dirac cohomology and unipotent representations of complex groups,Noncommutative Geometry and Global Analysis, Contemp. Math. 546, American Mathematical Society, Providence (2011), 1–22], our classification should be helpful for understanding the unitary dual of complexE7E_{7}.
Racial status of Orobanche cumana Wallr. in some countries other the world
Authors: Duca Maria , Clapco Steliana , Joita-Pacureanu Maria 
Published: March 2022

Abstract
The study represents a review of the evolution of the parasitic plant Orobanche cumana Wallr. and current racial status in some sunflower cultivating countries. Identification of racial status of broomrape populations belonging to eight sunflower cultivating countries from Europe and Asia (Republic of Moldova, Romania, Bulgaria, Ukraine, Spain, Turkey, Serbia and China) revealed the presence of high virulent races G and H in the majority of countries, except Serbia, where accessions belonging to race E or less virulent than E were found. The most virulent race H was identified particularly in the Black Sea area (Romania, Ukraine and Turkey). Additionally, the emergence of new biotypes characterized by high virulence, overcoming the resistance genes to race H was observed in some areas of the Republic of Moldova, Romania and Turkey, which signifies the importance of periodic evaluations of racial status for the prevention of occurrence and dissemination of new races. Analyzing the occurrence chronology of broomrape races in different countries we conclude that by the mid-1990s, the state of play was relatively stable, the most aggressive race being E. After this period the process of O. cumana development and appearance of new more aggressive and virulent biotypes became faster, which may be explained by the intensification of sunflower breeding activities and, respectively by the selection pressure exerted on the parasite by new resistant hybrids.
On the reproducibility of enzyme reactions and kinetic modelling
Authors: Gygli Gudrun 
Published: March 2022

Abstract
Enzyme reactions are highly dependent on reaction conditions. To ensure reproducibility of enzyme reaction parameters, experiments need to be carefully designed and kinetic modeling meticulously executed. Furthermore, to enable quality control of enzyme reaction parameters, the experimental conditions, the modeling process as well as the raw data need to be reported comprehensively. By taking these steps, enzyme reaction parameters can be open and FAIR (findable, accessible, interoperable, re-usable) as well as repeatable, replicable and reproducible. This review discusses these requirements and provides a practical guide to designing initial rate experiments for the determination of enzyme reaction parameters and gives an open, FAIR and re-editable example of the kinetic modeling of an enzyme reaction. Both the guide and example are scripted with Python in Jupyter Notebooks and are publicly available (https://fairdomhub.org/investigations/483/snapshots/1). Finally, the prerequisites of automated data analysis and machine learning algorithms are briefly discussed to provide further motivation for the comprehensive, open and FAIR reporting of enzyme reaction parameters.
A guide to designing photocontrol in proteins: methods, strategies and applications
Authors: Kneuttinger Andrea C. 
Published: March 2022

Abstract
Light is essential for various biochemical processes in all domains of life. In its presence certain proteins inside a cell are excited, which either stimulates or inhibits subsequent cellular processes. The artificial photocontrol of specifically proteins is of growing interest for the investigation of scientific questions on the organismal, cellular and molecular level as well as for the development of medicinal drugs or biocatalytic tools. For the targeted design of photocontrol in proteins, three major methods have been developed over the last decades, which employ either chemical engineering of small-molecule photosensitive effectors (photopharmacology), incorporation of photoactive non-canonical amino acids by genetic code expansion (photoxenoprotein engineering), or fusion with photoreactive biological modules (hybrid protein optogenetics). This review compares the different methods as well as their strategies and current applications for the light-regulation of proteins and provides background information useful for the implementation of each technique.
PHF20L1 mediates PAX2 expression to promote angiogenesis and liver metastasis in colorectal cancer through regulating HIC1
Authors: Zhu Qing-Chao , Sun Jian-Hua , Liang Ming-Jun , Zhang Zheng-Yun , Xia Yang 
Published: March 2022

Abstract
Colorectal cancer (CRC) is a common cancer with poor prognosis. The research was designed to explore the role of PHF20L1 in angiogenesis and liver metastasis in CRC and discuss its molecular mechanism. Expression levels of PHF20L1, HIC1 and PAX2 in CRC tissues collected from CRC patients were detected using qRT-PCR, WB and immunohistochemical staining. CRC cells were transfected with PHF20L1, HIC1 and PAX2 overexpression or knockdown vectors and the proliferation, apoptosis, EMT and angiogenesis of the cells were determined. WB was utilized to assess protein levels of PHF20L1, HIC1, PAX2 and angiogenesis factor (ANGPT2, FGF1, PDGFA and VEGFA). The role of PHF20L1 regulating tumor formation and liver metastasis in vivo was detected as well. PHF20L1 was observed to express at a high level of CRC tissues. PHF20L1 promoted CRC cell growth, EMT and angiogenesis, and inhibited cell apoptosis. Knockdown of PHF20L1 had opposite effects on CRC cells. PHF20L1 negatively regulated HIC1 expression to promote PAX2 expression, thus promoting CRC cell progression. The in vivo results showed that PHF20L1 contributed to tumor formation and liver metastasis. PHF20L1 increases PAX2 expression to promote angiogenesis in CRC by inhibiting HIC1, therefore facilitating CRC cell EMT and liver metastasis. Our finding may provide a novel insight for CRC pathogenesis.
The Virtual Theremin: Designing an Interactive Digital Music Instrument for Film Scene Scoring
Authors: Usabaev Bela , Eschenbacher Anna , Brennecke Angela 
Published: March 2022

Abstract
This paper presents a first prototype of a virtual Theremin instrument for accompanying film scenes with sound. The virtual Theremin is implemented as a hybrid application for the web. Sound control is achieved by capturing user gestures with a webcam and mapping the gestures to the corresponding virtual Theremin parameters pitch and volume. Different sound types can be selected. The application’s underlying research is part of the multi-modal digital heritage project KOLLISIONEN which targets to open up the private archive of the Russian film maker Sergej Eisenstein to a broader public in digital form. Eisenstein, a film theorist and pioneer of film montage, was particularly intrigued by the Theremin as an instrument for film sound design. The virtual Theremin presented here is therefore linked to a film scene from the 1929 Soviet drama “The General Line” by Sergej Eisenstein which was never set to music originally. In its first implementation state, the application connects music interaction design with digital heritage in a modular, flexible and playful way and uses contemporary web technologies to enable easy operation and the greatest possible accessibility.
A review on methods for predicting miRNA–mRNA regulatory modules
Authors: Madhumita Madhumita , Paul Sushmita 
Published: March 2022

Abstract
Identification of complex interactions between miRNAs and mRNAs in a regulatory network helps better understand the underlying biological processes. Previously, identification of these interactions was based on sequence-based predicted target binding information. With the advancement in high-throughput omics technologies, miRNA and mRNA expression for the same set of samples are available. This helps develop more efficient and flexible approaches that work by integrating miRNA and mRNA expression profiles with target binding information. Since these integrative approaches of miRNA–mRNA regulatory modules (MRMs) detection is sufficiently able to capture the minute biological details, 26 such algorithms/methods/tools for MRMs identification are comprehensively reviewed in this article. The study covers the significant features underlying every method. Therefore, the methods are classified into eight groups based on mathematical approaches to understand their working and suitability for one’s study. An algorithm could be selected based on the available information with the users and the biological question under investigation.
Conception and realization of an IoT-enabled deep CNN decision support system for automated arrhythmia classification
Authors: Varghese Ann , Muraleedharan Sylaja Midhun , Kurian James 
Published: March 2022

Abstract
Arrhythmias are irregular heartbeats that may be life-threatening. Proper monitoring and the right care at the right time are necessary to keep the heart healthy. Monitoring electrocardiogram (ECG) patterns on continuous monitoring devices is time-consuming. An intense manual inspection by caregivers is not an option. In addition, such an inspection could result in errors and inter-variability. This article proposes an automated ECG beat classification method based on deep neural networks (DNN) to aid in the detection of cardiac arrhythmias. The data collected by an Internet of Things enabled ECG monitoring device are transferred to a server. They are analysed by a deep learning model, and the results are shared with the primary caregiver. The proposed model is trained using the MIT-BIH ECG arrhythmia database to classify into four classes: normal beat (N), left bundle branch block beat (L), right bundle branch block beat (R), and premature ventricular contraction (V). The received data are sampled with an overlapping sliding window and divided into an 80:20 ratio for training and testing, with tenfold cross-validation. The proposed method achieves higher accuracy with a simple model without any preprocessing when compared with previous works. For the train and test sets, we achieved accuracy rates of 99.09 and 99.03%, respectively. A precision, recall, and F1 scores of 0.99 is obtained. The proposed model achieves its goal of developing a simple and accurate ECG monitoring system with improved performance. This simple and efficient deep learning approach for heartbeat classification could be applied in real-time telehealth monitoring systems.
Thermotics As an Alternative Nonequilibrium Thermodynamic Approach Suitable for Real Thermoanalytical Measurements: A Short Review
Authors: Šesták Jaroslav , Černý Robert 
Published: March 2022

Abstract
The general concept of temperature is thermodynamically defined in equilibrium somehow predictable even for non-equilibrium; however, it presents some still controversial aspects, as has been shown in a number of studies and reviews that have been published so far. Equilibrium concepts are often extrapolated to apply in micro-localized equilibrium and then appended to non-equilibrium in its entirety, which helps to define out-of-equilibrium temperature on both the macroscopic and microscopic bases. Unfortunately, these theoretical analyses do not provide any guidance on how to assess and understand temperature in practical measurements, such as for conventional thermal analysis. Insufficient use of alternative thermodynamic attitudes is evident especially in the field of thermophysical studies, which do not use static measurements, because they usually involve heating from an external source, i. e., the effect of thermal dynamics on the laboratory sample. This paper presents the applied nonequilibrium thermodynamic concept, historically known as thermotics. This approach takes into account the existence of gradients and heat fluxes, which it assesses from the point of view of the average user, and considers additional influences, going beyond the description of thermodynamics in traditional textbooks. The goal is to extend their validity, even to the state of constant first-time derivatives. At the same time, it points to changes in the temperature due to thermal inertia, which has long been ignored, suggesting that the heat spreads immediately. Moreover, special techniques enabling measurements during its extreme changes probably then require an alternative concept for temperature (tempericity). This opinion paper may provide stimuli for further discussion with regard to the practice of measurements done in the customary nonisothermal mode.
The association between operating margin and surgical diversity at Critical Access Hospitals
Authors: Hopper Wade , Zeller Robert , Burke Rachel , Lindsey Tom 
Published: March 2022

Abstract

Context
Surgical volume is correlated with increased hospital profitability, yet many Critical Access Hospitals (CAHs) offer few or no inpatient surgical services.

Objectives
This study aims to investigate the impact of the presence of different inpatient surgical services on CAH profitability.

Methods
The study design was a cross-sectional analysis of financial data from the most recent fiscal year (FY) of 1299 CAHs. Multiple linear regression was utilized to assess how the operating margin was affected by the number of different inpatient surgical services offered per hospital. Covariates known to be associated with hospital profitability included occupancy rate, case mix index (CMI), system affiliation, ownership status (public, private, or nonprofit), and geographic region.

Results
The regression model for the CAH operating margin returned an R2 value of 0.18. Each additional inpatient surgical service corresponded to a 1.5% increase in operating margin (p=0.0413). Each 10% increase in occupancy rate and 0.1 increase in CMI corresponded to a 0.9% increase in operating margin (p=0.0032 and p=0.0176, respectively). The number of surgical services offered per CAH showed positive correlations with occupancy rate (r=0.23, p<0.0001) and CMI (r=0.59, p<0.0001).

Conclusions
A positive correlation exists between operating margin and the diversity of inpatient surgical specialties available at CAHs. Furthermore, providing surgery allows CAHs to accommodate higher occupancy rates and case mixes, both of which are significantly and positively correlated with CAH operating margin.
One-parameter generalization of dual-hyperbolic Pell numbers
Authors: Bród Dorota , Szynal-Liana Anetta , Włoch Iwona 
Published: March 2022

Abstract
In this paper, we introduce one-parameter generalization of dual-hyperbolic Pell numbers – dual-hyperbolic r-Pell numbers. We give some identities for them related to Catalan identity, Cassini identity, d’Ocagne identity and convolution identity. Moreover, we define their matrix generators.