bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Health Risk Assessment of Essential Elemental Impurities (Cu, Mn and Zn) Through the Dermal Exposure of Herbal Ointment Extracted from Marjoram Herb (Majoranae herbae extractum)
Authors: Jurowski Kamil , Fołta Maria , Tatar Barbara , Berkoz Mehmet , Krośniak Mirosław 
Published: July 2021

AbstractEssential elements like Cu, Mn and Zn are extremely important for herbs’ growth and physiological functions; however, from a toxicological point of view, the exposure of these elements (as essential elemental impurities) can exhibit potential harmful effects for patients. In Europe, very popular are ointments with Marjoram herb extract (Majoranae herbae extractum) as herbal medicinal products for adjunctively in rhinitis (runny nose). Based on posology of ointments with Marjoram herb extract, the exposure to these elemental impurities may be high during long-term use. Hence, the aim of this article is the health risk assessment of essential elemental impurities (Cu, Mn and Zn) through the dermal exposure of ointments with Marjoram herb extract (Majoranae herbae extractum) as herbal medicinal products applied adjunctively in rhinitis available in Polish pharmacies. The investigated essential elements were determined by well-validated methodology (R > 0.997, recoveries, LOD and LOQ values were acceptable) based on flame atomic absorption spectrometry (FAAS). Our results indicated that all analysed herbal medicinal products with Marjoram herb extract available in Polish pharmacies contain relatively low levels of essential element impurities, i.e. Cu (0.14–0.49 mg/kg), Mn (0.31–2.57 mg/kg) and Zn (0.73–3.19 mg/kg). The estimated exposure of the investigated elemental impurities confirms the safety of all products. To the best of our knowledge, the study about Cu, Mn and Zn contents in HMPs with Majoranae herbae extractum is described for the first time. The applied methodology and results are extremely important from regulatory toxicology point of view due to ICH Q3D elemental impurity guideline for pharmaceuticals.
Integration of the buyer–supplier interface for Global sourcing
Authors: Bals Lydia , Turkulainen Virpi 
Published: July 2021

AbstractWhile global sourcing often implies that the firm needs to, for example, redesign the procurement organization and make decisions on what to centralize and what to manage locally, global sourcing also has direct implications for management of the buyer–supplier interface. This study takes an organization design focus and addresses global sourcing organization design as well as provides illustrations on how to integrate the buyer–supplier interface for global sourcing. Integration is conceptualized as coordination and cooperation. The paper is based on an embedded unit case study of a global technical industrial product and service systems provider, TechInd (pseudonym). Data was collected from TechInd as well as from six of its suppliers. The findings indicate that the global sourcing organization structure, as well as the differences in the buyer’s sourcing and supplier’s sales organizations, pose requirements for management of the interface in terms of coordination and cooperation. Challenges arising particularly due to differences in geographical scope and level of centralization can be managed by introducing the key account role and alignment of incentives.
The role of preservice teachers’ implicit attitudes and causal attributions: a deeper look into students’ ethnicity
Authors: Glock Sabine , Kleen Hannah 
Published: July 2021

AbstractPrevious research has provided evidence that teachers implicitly hold more negative attitudes toward ethnic minority students than toward ethnic majority students. Furthermore, they attribute the lower educational success of ethnic minority students predominantly to internal causes. So far, it is not known how implicit attitudes and causal attributions are related to preservice teachers’ judgments of students’ academic competencies. We conducted a study to close this research gap. In a sample of preservice teachers, our study showed mainly negative implicit attitudes toward ethnic minority students. On general, the preservice teachers made external attributions. Implicit attitudes as well as causal attributions predicted the judgments. Preservice teachers with more negative attitudes and preservice teachers, who attributed the failure of ethnic minority students to these students’ abilities, less favorably judged the competence of ethnic minority students. Our results highlight the role of teachers’ attitudes and causal attributions in determining the disadvantages that ethnic minority students experience in school.
From HRI to CRI: Crowd Robot Interaction—Understanding the Effect of Robots on Crowd Motion
Authors: Zhang Bingqing , Amirian Javad , Eberle Harry , Pettré Julien , Holloway Catherine , Carlson Tom 
Published: July 2021

AbstractHow does the presence of a robot affect pedestrians and crowd dynamics, and does this influence vary across robot type? In this paper, we took the first step towards answering this question by performing a crowd-robot gate-crossing experiment. The study involved 28 participants and two distinct robot representatives: A smart wheelchair and a Pepper humanoid robot. Collected data includes: video recordings; robot and participant trajectories; and participants’ responses to post-interaction questionnaires. Quantitative analysis on the trajectories suggests the robot affects crowd dynamics in terms of trajectory regularity and interaction complexity. Qualitative results indicate that pedestrians tend to be more conservative and follow “social rules” while passing a wheelchair compared to a humanoid robot. These insights can be used to design a social navigation strategy that allows more natural interaction by considering the robot effect on the crowd dynamics.
Pteridophytes as primary colonisers after catastrophic events through geological time and in recent history
Authors: Thomas Barry A. , Cleal Christopher J. 
Published: July 2021

AbstractPteridophytes reproduce by producing vast numbers of spores that may be dispersed over considerable distances, helping the plants colonise new areas. Being resistant to desiccation, fern spores can often survive for many years as spore banks in soil. After disturbance, such spores can germinate and subsequently colonise the area. These factors help pteridophytes to become primary colonisers on barren land, such as volcanic islands or land that has been devastated by some cataclysmic event. A further method of rapid colonisation is provided through the preservation and possible scattering of fragments of rhizomes in particular of horsetails. Similar rapid colonising by pteridophytes has been documented in the geological record following several major extinction events. These distinct, but short-lived, fern populations are recognisable by fern spikes in the microfossils. This paper brings together information on the reasons for pteridophyte success in colonising barren land, and examples taken from both the historic and geological records.
Ras isoform-specific expression, chromatin accessibility, and signaling
Authors: Nussinov Ruth , Zhang Mingzhen , Maloney Ryan , Jang Hyunbum 
Published: July 2021

AbstractThe anchorage of Ras isoforms in the membrane and their nanocluster formations have been studied extensively, including their detailed interactions, sizes, preferred membrane environments, chemistry, and geometry. However, the staggering challenge of their epigenetics and chromatin accessibility in distinct cell states and types, which we propose is a major factor determining their specific expression, still awaits unraveling. Ras isoforms are distinguished by their C-terminal hypervariable region (HVR) which acts in intracellular transport, regulation, and membrane anchorage. Here, we review some isoform-specific activities at the plasma membrane from a structural dynamic standpoint. Inspired by physics and chemistry, we recognize that understanding functional specificity requires insight into how biomolecules can organize themselves in different cellular environments. Within this framework, we suggest that isoform-specific expression may largely be controlled by the chromatin density and physical compaction, which allow (or curb) access to “chromatinized DNA.” Genes are preferentially expressed in tissues: proteins expressed in pancreatic cells may not be equally expressed in lung cells. It is the rule—not an exception, and it can be at least partly understood in terms of chromatin organization and accessibility state. Genes are expressed when they can be sufficiently exposed to the transcription machinery, and they are less so when they are persistently buried in dense chromatin. Notably, chromatin accessibility can similarly determine expression of drug resistance genes.
LIN28 coordinately promotes nucleolar/ribosomal functions and represses the 2C-like transcriptional program in pluripotent stem cells
Authors: Sun Zhen , Yu Hua , Zhao Jing , Tan Tianyu , Pan Hongru , Zhu Yuqing , Chen Lang , Zhang Cheng , Zhang Li , Lei Anhua , Xu Yuyan , Bi Xianju , Huang Xin , Gao Bo , Wang Longfei , Correia Cristina , Chen Ming , Sun Qiming , Feng Yu , Shen Li , Wu Hao , Wang Jianlong , Shen Xiaohua , Daley George Q. , Li Hu , Zhang Jin 
Published: July 2021

AbstractLIN28 is an RNA binding protein with important roles in early embryo development, stem cell differentiation/reprogramming, tumorigenesis and metabolism. Previous studies have focused mainly on its role in the cytosol where it interacts withLet-7microRNA precursors or mRNAs, and few have addressed LIN28’s role within the nucleus. Here, we show that LIN28 displays dynamic temporal and spatial expression during murine embryo development. Maternal LIN28 expression drops upon exit from the 2-cell stage, and zygotic LIN28 protein is induced at the forming nucleolus during 4-cell to blastocyst stage development, to become dominantly expressed in the cytosol after implantation. In cultured pluripotent stem cells (PSCs), loss of LIN28 led to nucleolar stress and activation of a 2-cell/4-cell-like transcriptional program characterized by the expression of endogenous retrovirus genes. Mechanistically, LIN28 binds to small nucleolar RNAs and rRNA to maintain nucleolar integrity, and its loss leads to nucleolar phase separation defects, ribosomal stress and activation of P53 which in turn binds to and activates 2C transcription factorDux. LIN28 also resides in a complex containing the nucleolar factor Nucleolin (NCL) and the transcriptional repressor TRIM28, and LIN28 loss leads to reduced occupancy of the NCL/TRIM28 complex on theDuxand rDNA loci, and thus de-repressedDuxand reduced rRNA expression.Lin28knockout cells with nucleolar stress are more likely to assume a slowly cycling, translationally inert and anabolically inactive state, which is a part of previously unappreciated 2C-like transcriptional program. These findings elucidate novel roles for nucleolar LIN28 in PSCs, and a new mechanism linking 2C program and nucleolar functions in PSCs and early embryo development.
Starlike functions associated with the generalized Koebe function
Authors: Kargar Rahim , Trojnar-Spelina Lucyna 
Published: July 2021

AbstractIn this paper we study some properties of functions f which are analytic and normalized (i.e. $$f(0)=0=f'(0)-1$$

f

(
0
)

=
0
=

f
′

(
0
)

-
1

) such that satisfy the following subordination relation $$\begin{aligned} \left( \frac{zf'(z)}{f(z)}-1\right) \prec \frac{z}{(1-pz)(1-qz)}, \end{aligned}$$

z

f
′

(
z
)

f
(
z
)

-
1

≺

z

(
1
-
p
z
)
(
1
-
q
z
)

,

where $$(p,q) \in [-1,1] \times [-1,1]$$

(
p
,
q
)
∈
[
-
1
,
1
]
×
[
-
1
,
1
]

. These types of functions are starlike related to the generalized Koebe function. Some of the features are: radius of starlikeness of order $$\gamma \in [0,1)$$

γ
∈
[
0
,
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)

, image of $$f\left( \{z:|z|<r\}\right) $$

f

{
z
:
|
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<
r
}

where $$r\in (0,1)$$

r
∈
(
0
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)

, radius of convexity, estimation of initial and logarithmic coefficients, and Fekete–Szegö problem.
An algorithm for Parkinson’s disease speech classification based on isolated words analysis
Authors: Amato Federica , Borzì Luigi , Olmo Gabriella , Orozco-Arroyave Juan Rafael 
Published: July 2021

Abstract
Introduction
Automatic assessment of speech impairment is a cutting edge topic in Parkinson’s disease (PD). Language disorders are known to occur several years earlier than typical motor symptoms, thus speech analysis may contribute to the early diagnosis of the disease. Moreover, the remote monitoring of dysphonia could allow achieving an effective follow-up of PD clinical condition, possibly performed in the home environment.

Methods
In this work, we performed a multi-level analysis, progressively combining features extracted from the entire signal, the voiced segments, and the on-set/off-set regions, leading to a total number of 126 features. Furthermore, we compared the performance of early and late feature fusion schemes, aiming to identify the best model configuration and taking advantage of having 25 isolated words pronounced by each subject. We employed data from the PC-GITA database (50 healthy controls and 50 PD patients) for validation and testing.

Results
We implemented an optimized k-Nearest Neighbours model for the binary classification of PD patients versus healthy controls. We achieved an accuracy of 99.4% in 10-fold cross-validation and 94.3% in testing on the PC-GITA database (average value of male and female subjects).

Conclusion
The promising performance yielded by our model confirms the feasibility of automatic assessment of PD using voice recordings. Moreover, a post-hoc analysis of the most relevant features discloses the option of voice processing using a simple smartphone application.
Elimination of Viral Hepatitis in Low and Middle-Income Countries: Epidemiological Research Gaps
Authors: Jaquet Antoine , Muula Guy , Ekouevi Didier K. , Wandeler Gilles 
Published: July 2021

Abstract
Purpose of Review
The purpose of our review was to summarize current recommendations on testing strategies, antiviral therapy eligibility and monitoring, and prevention of mother-to-child transmission of chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections, and to highlight major research gaps in low and middle-income countries (LMIC), with a particular focus on sub-Saharan Africa (SSA).

Recent Findings
While data on the prevalence of HBV and HCV infections in LMIC are increasing, current knowledge on liver-related complications as well as on treatment outcomes remains limited. Furthermore, very little information is available on the feasibility and cost-effectiveness of large-scale testing and management strategies in high-prevalence settings. The availability of policy-relevant data is particularly scarce in SSA, which accounts for a significant part of the global burden of chronic viral hepatitis.

Summary
Current recommendations on the management and monitoring of chronic viral hepatitis rely mainly on data from high-income settings. The global elimination of viral hepatitis will only be achieved if prevention, testing, and treatment strategies tailored to specific LMIC are implemented. In order to inform scalable and cost-effective interventions, dedicated research initiatives have to be undertaken. Future studies will have to include the evaluation of innovative testing strategies, the validation of simplified methods to diagnose liver cirrhosis and hepatocellular carcinoma, and the monitoring of long-term treatment outcomes and toxicity. In addition, national plans to achieve the elimination of HBV mother-to-child transmission are urgently needed, including effective ways to test pregnant women, treat those who are eligible, and ensure birth dose vaccination is given to all newborns.
EHEFT-R: multi-objective task scheduling scheme in cloud computing
Authors: Zhang Honglin , Wu Yaohua , Sun Zaixing 
Published: July 2021

AbstractIn cloud computing, task scheduling and resource allocation are the two core issues of the IaaS layer. Efficient task scheduling algorithm can improve the matching efficiency between tasks and resources. In this paper, an enhanced heterogeneous earliest finish time based on rule (EHEFT-R) task scheduling algorithm is proposed to optimize task execution efficiency, quality of service (QoS) and energy consumption. In EHEFT-R, ordering rules based on priority constraints are used to optimize the quality of the initial solution, and the enhanced heterogeneous earliest finish time (HEFT) algorithm is used to ensure the global performance of the solution space. Simulation experiments verify the effectiveness and superiority of EHEFT-R.
Using context-dependent DEA to analyze the efficiency of highly funded scientists in China
Authors: Xiang Keyu , Liang Haiming , Guo Zhaoxia , Dong Yucheng 
Published: July 2021

AbstractFunding inputs and research outputs have always been two central issues in the science of science. In recent decades, research funding plays an increasingly important role in scientific research. Thus, it is progressively significant for management authorities to measure the research efficiency of highly funded scientists, which can be helpful for them to make effective policies. However, few researchers use quantitative analysis to study these issues. To promote the research in this field, we begin with collecting a dataset. This dataset contains research funding and other information from 345 highly funded scientists in Mainland China. Next, we use the dataset to measure the efficiency of highly funded scientists based on the data envelopment analysis. In this way, highly funded scientists are placed into several levels according to their research inputs and outputs. We also give their attractiveness and progress scores compared to other grades. The learning path for less efficient scientists is also provided. We find that highly funded scientists have relatively high efficiency in three kinds of projects, such as the Major Research Plan. Besides, the career length and career start year are demonstrated to have a limited impact on the highly funded scientists. These patterns are beneficial for the development of the scientific community and management authorities to make policies.
A survey on computation resource allocation in IoT enabled vehicular edge computing
Authors: Naren  , Gaurav Abhishek Kumar , Sahu Nishad , Dash Abhinash Prasad , Chalapathi G. S. S. , Chamola Vinay 
Published: July 2021

AbstractThe number of vehicles is increasing at a very high rate throughout the globe. It reached 1 billion in 2010, in 2020 it was around 1.5 billion and experts say this could reach up to 2–2.5 billion by 2050. A large part of these vehicles will be electrically driven and connected to a vehicular network. Rapid advancements in vehicular technology and communications have led to the evolution of vehicular edge computing (VEC). Computation resource allocation is a vehicular network’s primary operations as vehicles have limited onboard computation. Different resource allocation schemes in VEC operate in different environments such as cloud computing, artificial intelligence, blockchain, software defined networks and require specific network performance characteristics for their operations to achieve maximum efficiency. At present, researchers have proposed numerous computation resource allocation schemes which optimize parameters such as power consumption, network stability, quality of service (QoS), etc. These schemes are based on widely used optimization and mathematical models such as the Markov process, Shannon’s law, etc. So, there is a need to present an organized overview of these schemes to help in the future research of the same. In this paper, we classify state-of-the-art computation resource allocation schemes based on three criteria: (1) Their optimization goal, (2) Mathematical models/algorithms used, and (3) Major technologies involved. We also identify and discuss current issues in computation resource allocation in VEC and mention the future research directions.
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection
Authors: Ren Xiaodong , Guo Daofu , Ren Zhigang , Liang Yongsheng , Chen An 
Published: July 2021

AbstractBy remarkably reducing real fitness evaluations, surrogate-assisted evolutionary algorithms (SAEAs), especially hierarchical SAEAs, have been shown to be effective in solving computationally expensive optimization problems. The success of hierarchical SAEAs mainly profits from the potential benefit of their global surrogate models known as “blessing of uncertainty” and the high accuracy of local models. However, their performance leaves room for improvement on high-dimensional problems since now it is still challenging to build accurate enough local models due to the huge solution space. Directing against this issue, this study proposes a new hierarchical SAEA by training local surrogate models with the help of the random projection technique. Instead of executing training in the original high-dimensional solution space, the new algorithm first randomly projects training samples onto a set of low-dimensional subspaces, then trains a surrogate model in each subspace, and finally achieves evaluations of candidate solutions by averaging the resulting models. Experimental results on seven benchmark functions of 100 and 200 dimensions demonstrate that random projection can significantly improve the accuracy of local surrogate models and the new proposed hierarchical SAEA possesses an obvious edge over state-of-the-art SAEAs.
Adverse Events Following COVISHIELD Vaccination Among Adult Population in Bangladesh
Authors: Khalil Md. Musab , Mahbub-Uz-Zaman Khandker , Hossain As-Saba , Ahmed Farid , Chowdhury Md. Fazlul Karim , Khan Sharmin Tahmina , Miah Md. Shah Alam , Khaleque Narwana , Kibria Md. Golam , Ahmed Faruque , Khan Ahad Mahmud 
Published: July 2021

AbstractThe study aimed to determine how frequently the adverse events of the COVISHIELD vaccine occur among the Bangladeshi population. This cross-sectional study was conducted at Sheikh Russel Gastroliver Institute and Hospital, Mohakhali, Dhaka, Bangladesh, in May 2021. The inclusion criteria were the adult populations who received the 2nd dose of the COVISHELD vaccine and had passed 28 days following the completion of the 2nd dose. Three hundred and five persons fulfilling the inclusion criteria were asked over the telephone—based on a predesigned questionnaire. The rates of adverse events were 54.1% and 41.3% after the 1st and 2nd dose of vaccine, respectively, and the difference was statistically significant (p < 0.001). Pain at the injection site was the most common adverse event (32.5% following the 1st dose and 27.9% following the 2nd dose). All of the symptoms were mild and lasted for about 2 days. Age and comorbidities were significantly associated with the adverse events (p < 0.001). Neither doses had any vaccine-related life-threatening adverse event nor had any symptoms related to vaccine-related blood clotting. Nineteen persons (6.2%) had been diagnosed with COVID-19 after the 1st dose of vaccination, and three (1%) persons had been diagnosed with COVID-19 after the 2nd dose of vaccination. As no significant life-threatening adverse event was observed, this study might help reduce the hesitancy for vaccination among the population and thus help reduce transmission of this highly contagious virus.