bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design, Implementation, and Evaluation of a Communication Skills Course for Clinical Faculty Members
Authors: Hayat Ali Asghar , Abdi Masumeh , Keshavarzi Mohammad Hasan , Rezaei Habibolah 
Published: September 2022

Abstract
Background:Due to the importance and necessity of communication skills for clinical faculty members and the lack of assessment of this skill in faculty members of Yasuj University of Medical Sciences, this study was carried out under the title of design, implementation, and evaluation of the communication skills course for clinical faculty members.
Methods: This semi-experimental study was conducted in 2021 at Yasuj University of Medical Sciences. The study population was clinical faculty members, students, and nurses of Yasuj University of Medical Sciences. A researcher-made questionnaire was used to assess the clinical communication skills of faculty members. Areas where faculty members needed training were identified and, according to those needs, an educational webinar was held for faculty members. The clinical communication skills of the faculty members were evaluated again, as well as their satisfaction with the course.
Results: The clinical communication skills of the faculty members were higher than 4.2 on most items. In most items, the score increased after the course, but none of these increases were significant. The total satisfaction of the faculty members from the course was 3.98, with a standard deviation of 0.18.
Conclusions:The level of clinical communication skills of the faculty members of Yasuj University of Medical Sciences is appropriate and this skill was improved after the training course. Due to the low score of the faculty members in the feedback to the patient, it is suggested that a training course on appropriate feedback and its principles be held for the faculty members.
The application of chemometrics in metals source of identification in Brunei Bay surface sediment
Authors: Chuan Ong Meng , Chuen Yong Jaw , Shaari Hasrizal , Bidai Joseph , Shazili Noor Azhar Mohamed , Pradit Siriporn , Ghazali Adiana 
Published: September 2022

Abstract
Brunei Bay is a unique ecosystem which offer a vast diversity of biology. The current study was carried out to trace the source of metals in the surface sediment of Brunei Bay as a control check on the bay’s ecosystem. The study has analyzed the secondary data using chemometrics analysis to verify and better understand the factors that influence metals distribution in Brunei Bay sediment. Samples were collected several times during 2013 to 2014 using ponar grab at 16 stations within the bay. Samples were then dried, pre-treated, digested and analyzed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in the laboratory. Overall, the mean concentration of metal changed during different sampling periods as the changes was presumed affected by seasonal changes. Furthermore, Al, Zn, Cd, Fe, sediment pH and clay fraction were significantly affected temporally. In identifying the source of metals in Brunei Bay’s sediment, the Pearson correlation has classified natural input of metals and proved that total organic carbon was derived by anthropogenic sources. Moreover, the principal component analysis has simplified the natural input is dominantly affecting the distribution of metals in the bay’s sediment. However, the utilization of marine resources is slightly affecting the bay’s ecosystem which may deteriorate the ecosystem health soon.
Evaluation of the potential of miR-21 as a diagnostic marker for oocyte maturity and embryo quality in women undergoing ICSI
Authors: Jenabi Maryam , Khodarahmi Parvin , Tafvizi Farzaneh , Bostanabad Saeed Zaker 
Published: September 2022

Abstract
MicroRNAs are small molecules that play a crucial role in regulating a woman's reproductive system. The present study evaluates the expression of miR-21 in the serum, follicular fluid (FF), and cumulus cells (CCs) and their association with oocyte maturity and embryo quality in women undergoing intracytoplasmic sperm injection (ICSI). Women subjects were divided into the case (female factor infertility) and control groups (male factor fertility). The level of miR-21 was measured using Real-Time PCR. The level of miR-21 was significantly lower in the CCs, FF, and serum in the case compared to the control group. MiR-21 abundance was higher in FF and CCs samples than in serum. Furthermore, there was a significant increase in CCs to FF in the case group. A significant decrease in oocyte count, MII oocytes, and percentage of mature oocytes were observed in the case group. The expression of miR-21 in FF and CCs was positively related to oocyte maturation, but no correlation with embryo development was observed. This study found that miR-21 is expressed less in women with female factor infertility, and human oocytes' development is crucially affected by the expression of miR-21. Therefore, miR-21 could provide new helpful biomarkers of oocyte maturity.
The Berlin Bimanual Test for Tetraplegia (BeBiTT) to assess the impact of assistive hand exoskeletons on bimanual task performance
Authors: Angerhöfer Cornelius , Vermehren Mareike , Colucci Annalisa , Nann Marius , Koßmehl Peter , Niedeggen Andreas , Kim Won-Seok , Chang Won Kee , Paik Nam-Jong , Hömberg Volker , Soekadar Surjo R. 
Published: September 2022

AbstractBackground:Assistive hand exoskeletons are promising tools to restore hand function after cervical spinal cord injury (SCI) but assessing their specific impact on bimanual hand and arm function is limited due to lack of reliable and valid clinical tests. Here, we introduce the Berlin Bimanual Test for Tetraplegia (BeBiTT) and demonstrate its sensitivity to brain/neural hand exoskeleton(B/NHE)-related improvements in bimanual task performance.Methods:Fourteen study participants with subacute cervical SCI performed the BeBiTT unassisted (baseline). Thereafter, participants repeated the BeBiTT while wearing a B/NHE (intervention). Online control of the B/NHE was established via a hybrid sensorimotor rhythm-based brain-computer interface (BCI) translating electroencephalographic (EEG) and electrooculographic (EOG) signals into open/close commands. For reliability assessment, BeBiTT scores were obtained by four independent observers. Besides internal consistency analysis, construct validity was assessed by correlating baseline BeBiTT scores with the Spinal Cord Independence Measure III (SCIM III) and Quadriplegia Index of Function (QIF). Sensitivity to differences in bimanual task performance was assessed with a bootstrapped pairedt-test.Results:The BeBiTT showed excellent interrater reliability (intraclass correlation coefficients > 0.9) and internal consistency (α = 0.91). Validity of the BeBiTT was evidenced by strong correlations between BeBiTT scores and SCIM III as well as QIF. Wearing a B/NHE (intervention) improved the BeBiTT score significantly (p< 0.05) with high effect size (d=1.063), documenting high sensitivity to intervention-related differences in bimanual task performance.Conclusion:The BeBiTT is a reliable and valid test for evaluating bimanual task performance in persons with tetraplegia, suitable to assess the impact of assistive hand exoskeletons on bimanual function.
The constant solution method for solving large scale differential Sylvester matrix equations with time invariant coefficients
Authors: Bouhamidi Abderrahman , Elbouyahyaoui Lakhdar , Heyouni Mohammed 
Published: September 2022

Abstract
This paper is mainly focused on the solution of Sylvester matrix differential equations with time independent coefficients. We propose a new approach based on the construction of a particular constant solution which allows to construct an approximate solution of the differential equation from that of the corresponding algebraic equation. Moreover, when the matrix coefficients of the differential equation are large, we combine the constant solution approach with Krylov subspace methods for obtaining an approximate solution of the Sylvester algebraic equation, and thus form an approximate solution of the large-scale Sylvester matrix differential equation. We establish some theoretical results including error estimates and convergence as well as relations between the residuals of the differential and its corresponding algebraic Sylvester matrix equation. We also give explicit benchmark formulas for the solution of the differential equation.To illustrate the efficiency of the proposed approach, we perform numerous numerical tests and make various comparisons with other methods for solving Sylvester matrix differential equations.
Robust Local Bootstrap for WeaklyStationary Time Series in the Presence ofAdditive Outliers
Authors: Solci Carlo Correa , Reisen Valderio Anselmo , Rodrigues Paulo Canas 
Published: September 2022

Abstract
The aim of this paper is to propose a generalization of the local bootstrap for periodogram statistics to the case when weakly stationary time series are contaminated by additive outliers. In order to achieve robustness, we suggest to replace the classical version of the periodogram with the M-periodogram in the local bootstrap procedure. The robust bootstrap periodogram is implemented in the Whittle estimator to obtain confidence intervals for the parameters of a time series model. A finite sample size investigation was conducted to compare the performance of the classical local bootstrap with the one proposed in this paper, to estimate 95% confidence intervals for the parameters of autoregressive and of seasonal autoregressive time series. The results have shown that the robust estimator is resistant to additive outlier contamination and produces confidence intervals with coverage percentage closer to 95\% and with lower amplitudes than the ones obtained with the classical estimator, even for small percentages and magnitudes of outliers. It was also empirically demonstrated that when the expected number of outliers is kept constant, the coverage percentages of the confidence intervals of the robust estimators tend to 95\% as the sample size increases. An application to the daily mean concentration of the particulate matter with diameter smaller than \SI{10}{\micro\meter} (PM$_{10}$) was considered to illustrate the methodologies in a real data context. All the results presented here give strong motivation to use the proposed robust methodology in practical situations in which weakly stationary time series are contaminated by additive outliers.
Extraction of terrain ridge lines and valley lines based on agglomeration analysis of terrain points: a cluster analysis method
Authors: Cheng Zhang , Wanfeng Dou , Yuan Pang 
Published: September 2022

Abstract
Terrain feature extraction is one of the critical issues in geographic information science. As important terrain feature lines, ridge lines and valley lines, play an important role in hydrological analysis, terrain reconstruction and automatic integration of contour lines. But, the extraction of terrain feature lines is complicated and time-consuming task. In this paper, a terrain feature line extraction method is proposed based on clustering technique. The terrain feature points are automatically extracted according to the agglomeration of terrain points, and the similar points are automatically identified according to the DBSCAN clustering algorithm. The points with high similarity are clustered along the direction of ridge or valley, and the whole terrain will be clustered into multiple sub-regions. The nearest sub-regions are found by calculating the minimum distance between these sub-regions, and the adjacent sub-regions are connected orderly by their center line to obtain terrain feature lines. Compared with other methods, the cluster analysis method in this paper has simple process and high efficiency.
Fat-free mass estimation in male high-level futsal players: development and validation of a new bioelectrical impedance-based predictive equation
Authors: Matias Catarina , Campa Francesco , Cavaca Margarida , Paoli Antonio , Teixeira Filipe 
Published: September 2022

Abstract
Objectives: the present study aimed to develop and
cross-validate a futsal-specific bioelectrical equation for
estimating fat-free mass (FFM) in male players. Methods: a total of
66 futsal players (age 23.3 ± 5.4 years) from the Major Portuguese
Futsal League “LIGA PLACARD” and from the 2nd and 3rd National
Futsal Leagues were included in this cross-sectional, observational
study. The participants underwent a foot-to-hand bioelectrical
impedance analysis (BIA) at 50 kHz and completed a dual-energy
X-ray absorptiometry (DXA) scan for reference body composition
data. The sport-specific model was developed by stepwise multiple
regression using bioelectrical raw parameters [resistance (R) and
reactance (Xc)] as independent variables. Cross-validation was
performed using the PRESS approach, least squares regression,
concordance correlation coefficient (CCC) and Bland-Altman
analyses. Results: a BIA-based model was developed for FFM [FFM
(kg) = -8.865 + 0.437 * Body Mass (kg) + 0.186 * Xc + 0.415 *
stature (cm)2/R (R2 = 0.89, standard error of estimation = 2.38
kg)]. Cross validation revealed a substantial strength of agreement
(CCC = 0.953), an r2 of 0.88 with a standard error of estimation
equal to 2.31 kg, no mean bias (0.04 kg, p>0.05), low limits of
agreement (ranged from -4.5 to 4.6 kg), and no trend (r = -0.170, p
= 0.172). Conclusions: the present equation is the first to allow
for a valid, accurate, and sport-specific assessment of FFM in male
futsal players.
The first record of Ozius tuberculosus H. Milne Edwards (Crustacea: Decapoda: Brachyura) from the East Coast of Indian subcontinent
Authors: Banerjee Somesh , Ramakrishnan Sreeraj Chemmencheri 
Published: September 2022

Abstract
The diversity of marine brachyuran crabs along India's east coast has been investigated extensively. This study deals with the widespread distribution of Ozius tuberculosus H. Milne Edwards' 1834 species in India's eastern coast from Visakhapatnam. The distribution of this species, which is found in Maharashtra, Karnataka, Kerala, the Lakshadweep Islands, and the Andaman & Nicobar Islands, was previously mainly known from the west coast of India. Along with details regarding the geographic range of this species in India, a taxonomic description is also given. Besides its taxonomic value, it has very little economic value since it is non-edible.
Splenic irradiation combined with plasmapheresis and rituximab: a new option reducing donor specific antibody in haplo-identical hematopoietic stem cell transplantation
Authors: Wu Xiaojin , Zhou Shiyuan , Ma Xiao , Ma Chao , Qian Zhu , Zhao Qi , Li Ling , Li Shijia , Tang Zaixiang , He Jun , Wu Depei , Qin Songbing 
Published: September 2022

Abstract
The development of donor-specific antibodies (DSAs) against human leukocyte antigens (HLA) is a major problem during haplo-identical hematopoietic stem cell transplantation (haplo-HSCT). There is currently no recommended treatment option to remove DSAs. Thus, we conducted a prospective, single-arm study where we combined low-dose splenic irradiation with plasmapheresis and rituximab as a new treatment protocol to reduce DSAs before haplo-HSCT. Nineteen patients were enrolled in this prospective study and matched controls treated with the same protocol, but without splenic irradiation, were simultaneously collected from DSA patients. The aim of this study is to explore the safety and efficacy of our outlined treatment protocol made up of splenic irradiation, plasmapheresis, and rituximab. We found that DSA levels decreased significantly after transplantation in both groups, however they decreased more greatly in patients treated additionally with splenic irradiation than those in control group. De novo DSAs were not detected after transplantation in the splenic irradiation group but detected in 5 patients from the control group. At follow-up, we found that patients in splenic irradiation group achieved superior overall survival (OS) and progress free survival (PFS) compared to those in control group. We concluded that adding low-dose splenic irradiation to routine protocol is feasible. chictr.org.cn: ChiCTR2100051456. Registered 24 September 2021. Retrospectively registered.
Designing Energy Efficiency for Traditional Data Center
Authors: Bhattacharya Tathagata , Mao Jianzhou , Bhattacharya Sutanu , Cao Ting , Peng Xiaopu , Rahgouy Mostafa , Qin Xiao 
Published: September 2022

Abstract
Power Management Strategies and the impact of carbon dioxide emissions from data centers across the globe have drawn significant attention worldwide. The rapid growth of energy consumed in data centers has led to 1) huge costs 2) depletion of non-renewable resources such as coal and petroleum, and 3) emission of greenhouse gases like CO2 in the atmosphere. These greenhouse gas significantly contributes to the climate change of the earth. To tackle this challenge, our research deals with modeling the energy resources of data centers, thereby offering insights to reduce the global carbon footprint and energy cost. In our model, we prioritize green energy consumption by eliminating brown energy resources. In this process, we devise an algorithm that can determine the amount of CO2 emission in the atmosphere per hour by different energy resources. We create an energy model for data centers by incorporating the support vector regression algorithm. Our model is adroit at projecting energy consumed in data centers powered by green energy. Our experimental results confirm that our model consistently delivers high prediction accuracy in terms of energy usage in data centers. The model is expected to facilitate data analytic venues to optimize energy efficiency and sustaininability for the development of future data centers.
TFPA: A traceable federated privacy aggregation protocol
Authors: Li Xingyu , Long Yucheng , Hu Li 
Published: September 2022

Abstract
Federated learning is gaining significant interests as it enables model training over a large volume of data that is distributedly stored over many users. However, Malicious or dishonest aggregator still possible to infer sensitive information and even restore private data from local model updates even destroy the process of training. To solve the problem, researchers have proposed many excellent methods based on privacy protection technologies, such as secure multiparty computation (MPC), homomorphic encryption (HE), and differential privacy. But these methods don't only ignore users' address and identity privacy, but also include nothing about a feasible scheme to trace malicious users and malicious gradients.
In this papper, we propose a decentralized Byzantine-fault-tolerant federated learning protocol based on traceable ring signature and undirectional proxy re-encryption, named RFL, which consists of an one-time dynamic proxy protocol, an robust aggregation protocol and an gradient calibration protocol. In our protocol, all users owns a aggregator, a proxy and a trainer while there is no central server. These users can achieve anonymous sharing of local gradients, robust aggregation of global gradients, and tracing of malicious gradients through the protocol. We design, implement, and evaluate a practical system to jointly learn an accurate model under semi-honest and malicious adversary security, respectively. The experiments show our protocols achieve the best overall performance as well.
A hybrid neural network and data sampling solver for forward and backward modified diffusion equations
Authors: Mou Xuankang , Fang Qian , Li Shiben 
Published: September 2022

Abstract
We developed a hybrid solver based on physics-informed neural networks and a mixture of grid and Latin hypercube sampling to solve forward and backward modified diffusion equations. We optimized the parameters in the neural networks by considering the squeeze boundary condition and the parameter in the mixed data sampling by adjusting the mixture coefficient. Then,we used a given modified diffusion equation as an example to demonstrate the efficiency of the hybrid solver for forward and backward problems. The neural network results were compared with the numerical solutions, and good agreement with high precision was observed. This hybrid neural network solver can be generalized to other partial differential equations.
Preliminary study regarding the optimisation of the accelerated ageing of sugar cane spirit by applying ultrasound-assisted extraction and white oak chips (Quercus Alba)
Authors: Abreu-Naranjo Reinier , Estela Guardado Yordi , Radice Matteo , Scalvenzi Laura , Martínez Amaury Pérez 
Published: September 2022

Abstract
The ageing of alcoholic beverages is a common practice in order to increase their quality due to the release of wood extractable compounds from the barrels used. However, this process is slow and can take several years. This research focussed on optimising the use of Quercus alba chips and ultrasound in the accelerated ageing process of sugar cane spirit using the response surface methodology. The effect of temperature and ultrasound was analysed using a two-level factorial design type 22. Subsequently, the accelerated ageing process was optimised using response surface methodology. Temperature and time of exposure to ultrasound energy were the selected independent variables. As a response variable, the total polyphenol index (TPI) was selected. In addition, the CIELab method was used to determine the colour characteristics (L*, a*, b*) of the aged samples. Roasting had a negative effect on the TPI, while the oak chips that were untoasted and treated with ultrasound obtained the highest TPI yield (80.5–81.5 mg GAEeq/L). The TPI values obtained through the use of the accelerated ageing method suggest that it is more efficient than the traditional ageing process, as it leads to a decrease in the maturation period of sugar cane spirit. Regarding the colour properties, a higher intensity of colour was found in the samples where the accelerated ageing method was applied. The temperature and sonication time of 48.9°C and 18.8 min were the optimal parameters to obtain a TPI value (85 GAEeq./L) comparable to the Brandy Solera Reserve (12–18 months for the traditional method) for sugar cane spirit using the accelerated method. The findings of this research can contribute towards the development of new ageing processes of distillates, mainly in terms of decreasing ageing times.