bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of Anapana, Body scan and Metta meditation techniques on chronic neck and shoulder region pain and disability in adult patients in Sri Lanka.: study protocol for a cluster clinic-level parallel randomised controlled trial
Authors: Karunanayake Aranjan Lionel , Coghill Nikki , Solomon-Moore Emma 
Published: May 2022

Abstract
BackgroundChronic neck and shoulder region pain affects many people in the world. This study aims to compare the effectiveness of an eight-week training programme on pain and disability in a patient population affected with chronic neck and shoulder region pain, using Anapana, Body Scan and Metta meditation techniques, with a usual care control group and with each other.MethodsThis parallel cluster clinic-level randomised controlled trial will be conducted with male and female patients aged 18-65 years, who are affected with chronic neck and shoulder region pain, and who attend one of four clinics held on four different days of the week in a medical centre in the Colombo North region, Sri Lanka. Clinics will be considered as clusters and randomly allocated to intervention and control arms.Data will be collected using validated questionnaires, clinical examinations and focus groups. To compare baseline with primary (differences in changes in pain at 8 weeks) and secondary outcomes (differences in changes in pain, physical disability, range of movement and quality of life at 4 and 12 weeks), a two-way ANOVA will be used if the data is normally distributed. If the data is not normally distributed a nonparametric equivalent (Kruskal Wallis) will be used. Focus group transcriptions will be thematically analysed using the Richie and Spencer model of qualitative data analysis. Discussion This protocol describes how three meditation interventions will be implemented on the management of patients affected with chronic neck and shoulder region pain and compared with a usual care control-group. The effectiveness of each meditation intervention on the pain, physical and psychosocial disabilities of patients will be compared between groups. The results of this study will enable recommendations to be made for future meditation interventions for chronic neck and shoulder pain.Trial RegistrationISRCTN12146140Date of registration : 20/08/2021(https://www.isrctn.com/ISRCTN12146140).
TRANSPARENT: a Python tool for designing transcription factor regulatory networks
Authors: Derelitto Carlo , Santoni Daniele 
Published: May 2022

Abstract
Transcription factors are proteins able to selectively bind DNA short traits, namely Transcription Factors Binding Sites, in order to regulate gene expression both in terms of repression and activation. Despite plenty of studies focusing on Transcription Factors and on the role they play in specific biological tasks or diseases, is available in literature, to our knowledge there is no tool able to automatically provide a list of Transcription Factors involved in this task and the associated interaction network through a solid computational analysis.
TRANSPARENT (TRANScriPtion fActor REgulatory NeTwork) is a user-friendly python tool designed to help researchers in studying given biological tasks or given diseases in human, by identifying Transcription Factors controlling and regulating the expression of genes associated with that task or disease. The list of Transcription Factors, that are significantly associated with a gene pool and the correspondent P-value are provided together with the related Transcription Factors network that can be directly visualized through STRING database.
The effectiveness and reliability of the tool was assessed by applying it to two different test-cases: Schizophrenia and Autism disorders. The obtained results clearly show that identified TFs, for both datasets, are significantly associated with those disorders, both in terms of gene enrichment and coherence with literature. The proposed tool TRASPARENT can be a useful instrument to investigate transcription factor networks and unveil the role that TFs play in given biological tasks and diseases.
Assessment of soil loss using RUSLE at Mongolian mining sites: a case study on soil erosion at the Baganuur lignite and Erdenet copper-molybdenum mines
Authors: Sodnomdarjaa Enkhjargal , Lehmkuhl Frank , Karthe Daniel , Knippertz Martin , Ganbat Gantuya 
Published: May 2022

Abstract
Mining constitutes an integral part Mongolia’s national economy and dominates the country’s export revenue. At the same time, a wide range of mining on soil, water resources and the biosphere have been documented in Mongolia. This case study addresses the long-term impacts of mining on soil degradation at two mining sites located in the semiarid steppe zone of Mongolia: the open-lignite mine of Baganuur about 140 km east of Ulaanbaatar, and the open-pit copper-molybdenum mine of Erdenet about 240 km northwest of Ulaanbaatar, both of which started commercial extraction in the late 1970s. For the assessment of soil erosion, the RUSLE model was applied in different seasons for the period from 1986 to 2018 at 3-year intervals, considering both climatic variation and the expansion of the mines based on maps and satellite imagery. Severely eroded areas were identified in the vicinity of the mining sites. Results show that the soil erosion rates were predominantly between 15-30 t ha –1 yr –1 with severely affected sites accounting for 40 to 41% of the total soil erosion in the two mining areas. In total, severely eroded areas experienced soil losses of approximately were found as 3400 ha yr –1 in Erdenet and more than 1200 ha yr –1 in Baganuur. Particularly severe soil losses were identified for the year 2013 and July 2016 around the Erdenet mining area, and the years 1986, 1998 and October 2018 around the Baganuur mining area. The RUSLE- and GIS techniques are time-saving and costeffective technique for continuous monitoring of soil erosion and planning of preventing measures around mine areas.
An analytical formulation of~ZOA based machining stability for complex tool geometries: Application to 5-axis ball-end milling
Authors: Falta Jiří , Sulitka Matěj , Zeman Pavel 
Published: May 2022

Abstract
The paper describes a computationally convenient analytical formulation of the stability of the cutting process with respect to self-excited vibrations in the case of five-axis milling based on the commonly used zero-order approximation. In the case of five-axis milling with general milling cutters, it is difficult to calculate stable machining process conditions for two main reasons. The first reason is the difficulty of calculating the mean value of the cutting force Jacobian with respect to the regenerative displacement (closely related to a milling directional matrix) for a generally inclined tool, and the second reason is the nonlinearity of this Jacobian with respect to the process parameters, which means that the problem cannot be reduced to a linear eigenvalue problem as is usual for linear cases (e.g. cylindrical milling with respect to the axial depth of cut). In the first part, this paper presents a modification of the calculation of the machining stability limits for a nonlinearly dependent cutting force Jacobian. A new formulation of this Jacobian for a general tool based on the surface integral over the tool and workpiece engagement region is presented, which computationally represents a significant simplification over existing methods. The advantage is that if we can analytically describe the engagement area, we also obtain an analytical relation for the cutting force Jacobian. This is presented with the practical example of a generally inclined ball-end mill. This analytical formulation of the force Jacobian allows the calculation of its derivatives with respect to the technological parameters (depth of cut, step over, tilt and lead angles), which is useful both for the calculation of stability diagrams and for solving optimization problems related to machining stability.
Influence of soil-structure interaction on seismic demands of historic masonry structure of Kashan Grand Bazaar
Authors: Tahghighi Hossein , Lazizi Amir H. 
Published: May 2022

Abstract
Heritable constructions are an essential portion of the history of any nation in addition to financial resources. The aim of this study is to investigate the earthquake damage and failure mechanism of a historic Bazaar located in Kashan (center of Iran), which dates to the seventeenth century. Numerical models were constructed by a macro method, considering two cases of fixed support and soil-structure interaction (SSI). To assess the structural behavior, modal, nonlinear static and dynamic time history analyses were performed using a three dimensional finite element method. The results of SSI analysis show an intense weakness of the structure against the required demand based on the design spectrum. Also, foundation flexibility has a great impact on the oscillation characteristics, displacement demand and damage distribution. By comparing the results of time history analysis to the pushover procedure, a lower shear value and higher displacement are obtained. Furthermore, the damage process is as dome collapse alongside short arc, consequently long arc collapse followed by pier wall overturning.
Insight into the mechanism of molecular recognition between human Integrin-Linked Kinase and Cpd22 and its implication at atomic level
Authors: García-Marín Javier , Rodríguez-Puyol Diego , Vaquero Juan J. 
Published: May 2022

Abstract
Pseudokinases have received increasing attention over the past decade because of their role in different physiological phenomena. Although pseudokinases lack several active-site residues, thereby hindering their catalytic activity, recent discoveries have shown that these proteins can play a role in intracellular signaling thanks to their non-catalytic functions. Integrin-linked kinase (ILK) was discovered more than two decades ago and was subsequently validated as a promising and target for neoplastic diseases. Since then, only a few small-molecule inhibitors have been described, with the V-shaped pyrazole Cpd22 being the most interesting and characterized. However, little is known about its detailed mechanism of action at atomic level. In this study, using a combination of computational chemistry methods including PELE calculations, docking, molecular dynamics and experimental surface plasmon resonance, we were able to prove the direct binding of this molecule to ILK, thus providing the basis of its molecular recognition by the protein and the effect over its architecture. Our breakthroughs show that Cpd22 binding stabilizes the ILK domain by binding to the pseudo-active site in a similar way to the ATP, possibly modulating its scaffolding properties as pseudokinase. Moreover, our results explain the experimental observations obtained during Cpd22 development, thus paving the way to the development of new chemical probes and potential drugs.
Value-added from microwave-assisted extraction of Musa sapientum fruit extract as an alternative safe and effective agent for the treatment of hyperpigmentation
Authors: Bilhman Siwaporn , Paosen Supakit , Ramanathan Srinivasan , Wunnoo Suttiwan , Lethongkam Sakkarin , Dumjun Krittima , Waen-ngoen Tassanai , Kaewnopparat Nattha , Voravuthikunchai Supayang Piyawan 
Published: May 2022

Abstract
Annually, a great number of bananas are produced, and those that do not satisfy commercialization criteria are discarded, resulting in a considerable amount of agricultural waste. This work aimed at valorizing rejected unripe Musa sapientum fruit by microwave-assisted extraction using glycerol-ethanol mixtures for development of cosmeceuticals. The fruit extract exhibited potent radical scavenging activity towards 2,2-diphenylpicrylhydrazyl (DPPH) and 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) assays in a concentration-dependent manner. Ferric reducing power was 199.13 μM FeSO4/mg extract. Total phenolic content was 39 mg gallic acid equivalent/100 g extract and total flavonoid content was 26 mg quercetin equivalent/100 g extract. Vitamin C and E contents of the extract were 10.47 and 4.77 mg/100 g, respectively. The extract exhibited potent antibacterial activity against wide range of bacterial pathogens. The extract significantly reduced nitric oxide production in RAW 264.7 cells (p < 0.05). Biocompatibility assessment of the extract with L929 fibroblast cells demonstrated no toxic effects. M. sapientum-loaded serum significantly inhibited DPPH scavenging activity with a value of 50.62% when compared with commercially-available product (p < 0.05). The serum significantly suppressed tyrosinase activity about 37.46% (p < 0.05). This finding implies that M. sapientum has a high potential to be used as a depigmenting agent.
Quantitative EEG Features and Machine Learning Classifiers for Eye-Blink Artifact Detection: A Comparative Study
Authors: Rashida Maliha , Habib Mohammad Ashfak 
Published: May 2022

Abstract
Ocular artifact, namely eye-blink artifact, is an unavoidable and one of the most destructive noises in EEG signals. Many solutions were proposed regarding the detection of the eye-blink artifact. Different subsets of EEG features and Machine Learning (ML) classifiers were used for this purpose. But no comprehensive comparison of these features and ML classifiers was presented. This paper presents the significance of twelve EEG features and five ML classifiers, commonly used in existing studies, for the detection of the eye-blink artifact. An EEG dataset, containing 2958 epochs of eye-blink, non-eye-blink, and eye-blink-like (non-eye-blink) EEG activities, is used in this study. The significance of each feature and classifier has been measured using accuracy, precision, recall, and f1-score. Experimental results reveal that scalp topography is the most potential among the selected features in detecting eye-blink artifacts. The best performing classifier is Artificial Neural Network (ANN) among the five classifiers. The scalp topography and ANN classifier combination performed as the most powerful feature-classifier combination. However, it is expected that the findings of this study will help the researchers to select the appropriate feature and classifier for their eye-blink detection studies in the future.
Adhesive conductive hydrogels with wrinkled Janus surface and ultra-high sensitivity used as strain sensors
Authors: Jiang Yu , Feng Wanqi , Chen Yixiang , Wang Wei , Yu Dan 
Published: May 2022

Abstract
Conductive hydrogels have attracted enormous attention in wearable electronic devices due to considerable flexibility and similarity with human skin. However, the majority of hydrogels were fabricated by one-pot process and were completely homogeneous, which limited the response to electrical signals. In this paper, we propose a simple strategy to obtain asymmetrical polyacrylic acid/chitosan@silver nanowires (PAA/CS@AgNWs) hydrogels, namely, depositing AgNWs layer by dropping AgNWs dispersions in ethanol on PAA/CS hydrogel prepared via one-pot process. Ethanol diffused into the hydrogel and endowed the upper surface with wrinkle structure. Besides, the inevitable conductivity difference between hydrogel itself and AgNWs further enhanced the sensitivity, leading to the ultra-high gauge factor (GF = 191.2, 7413, 18720). The adhesion of the hydrogel not only improved the adaptability to skin, but also the fastness of AgNWs. Reliable application performance (flexibility, self-healing, dry resistance and adhesion) and excellent electrical signal response (ultra-high sensitivity, identification, repetition and stability) indicated the potential applications in motion detection, gesture recognition and health monitoring.
Combatting the Effect of Image Reconstruction Settings on lymphoma [18F]FDG PET Metabolic Tumor Volume Assessment using Various Segmentation Methods
Authors: Ferrandez Maria C. , Eertink Jakoba J. , Golla Sandeep S. V. , Wiegers Sanne E. , Zwezerijnen Gerben J. C. , Pieplenbosch Simone , Zijlstra Josée M. , Boellaard Ronald 
Published: May 2022

Abstract
Background
[18F]FDG PET based metabolic tumor volume (MTV) is a promising prognostic marker for lymphoma patients. The aim of this study is to assess the sensitivity of several MTV segmentation methods to variations in image reconstruction methods and the ability of ComBat to improve MTV reproducibility.
Methods
56 lesions were segmented from baseline [18F]FDG PET scans of 19 lymphoma patients. For each scan, EARL1, EARL2 standards and locally clinically preferred reconstruction protocols were applied. Lesions were delineated using 9 semi-automatic segmentation methods: fixed threshold based on standardized uptake value (SUV),(SUV = 4, SUV = 2.5), relative threshold (41% of SUVmax [41M], 50% of SUVpeak [A50P]), majority vote-based methods that select voxels detected by at least 2 (MV2) and 3 (MV3) out of the latter 4 methods, Nestle thresholding and, methods that identify the optimal method based on SUVmax (L2A, L2B). MTVs from EARL2 and locally clinically preferred reconstructions were compared to those from EARL1. Finally, different versions of COMBAT were explored to harmonize the data.
Results
MTVs from the SUV4.0 method were least sensitive to the use of different reconstructions (MTV ratio: median = 1.01, Interquartile range = [0.96–1.10]). After ComBat harmonization, an improved agreement of MTVs among different reconstructions was found for most segmentation methods. The regular implementation of ComBat (‘regular ComBat’) using non-transformed distributions resulted in less accurate and precise MTV alignments than a version using log-transformed datasets (‘log-transformed ComBat’).
Conclusion
MTV depends on both segmentation method and reconstruction methods. ComBat reduces reconstruction dependent MTV variability, especially when log-transformation is used to account for the non-normal distribution of MTVs.
Bioinformatics and expression pattern analysis of LIM family in wheat
Authors: Li Chunyue , Sun Yumeng , Chang Qihang , Guo Changhong , Bai Yan 
Published: May 2022

Abstract
Background: In eukaryotes, LIM protein plays the role of development regulator in regulating basic cellular processes such as transcription or tissue cytoskeleton, and participates in plant stress response. Although it is found in many plants, the study of LIM gene family in wheat (Triticum aestivum L.) has not been reported yet.Results: In this study, we analyzed the gene structure, conserved motifs and other bioinformatics and expression patterns of LIM gene family in wheat, and identified 29 LIM gene family members from the whole wheat genome. All TaLIMs proteins contain at least one LIM domain, 5-12 exons, 196-1278 encoded amino acids and 4.47-9.05 theoretical isoelectric points. Chromosome mapping analysis showed that 28 members of TaLIMs were distributed on 18 chromosomes of wheat except 3A, 3B and 3D, and TaLIM29 could not be located on a definite chromosome. TaLIMs is divided into three subfamilies by phylogenetic analysis, which have highly similar gene structures with members of the same phylogenetic tree in subfamilies. Twelve members of LIM family in wheat were analyzed by qRT-PCR. The results showed that these members had different tissue expression patterns, among which two genes were significantly expressed in pollen, and the others had different expressions in different tissues. Under different stress conditions, TaLIMs showed different expression patterns. Six genes were upregulated after ABA treatment and salt stress, and two genes were upregulated after drought stress. TaLIM02 was significantly upregulated compared with the control under four stress conditions. TaLIM07 and TaLIM16 were significantly down-regulated compared with the control under four stresses.Conclusions: Through genome-wide analysis, 29 LIM gene family members were identified in the wheat genome. It is found that TaLIMs may be involved in the regulation of stress response processes such as low temperature and drought in wheat, and play an important role in plant response to abiotic stress. It may also play a role in the process of light induction in some periods.
Evaluation of the climate change impact on Legedadi and Dire reservoirs using R-R-V-criteria
Authors: Alebel Surafel , Tura Amare 
Published: May 2022

Abstract
This study mainly deals with evaluation of the climate change impact on Legedadi and Dire reservoirs which is found in north-east Awash River Basin, Ethiopia. Projection of the future climate variables is done by using Max Planck Institute for Meteorology – Earth System Model (MPI-ESM). In the present study, future rainfall MPI-ESM product corrected by using BFTV (Bias factor time variance).The 1996-2016 was taken as baseline period against which comparison was made. A hydrological model, HEC-HMS was utilized to simulate Runoff in the study area. The performance of the model was assessed through calibration and validation process and resulted NSE=0.87 and PEV=7.5% during calibration and NSE=0.84 and PEV=7.85% during validation. The projected future climate variables has two future time series 2040s and 2080s, for both future time series an increasing trend evaporation from the open water surface of reservoirs when the projected average maximum and Minimum temperatures increase from the baseline period and precipitation shows a fluctuation event. Evaluation to the base and the future period average annual inflow volume shows an increase of 2.44% and decrease 0.99% at Dire reservoir and an increase of 5.15% and decrease 1.15% at Legedadi reservoir during 2040s and 2080s periods respectively.In general analysis of the reservoirs with current and future climate change output indicates that the reliability and resilience of the reservoirs is sensitive to precipitation change than change in temperature on differing dimensionless vulnerability of the reservoirs doesn’t demonstration extraordinary difference for both the change in precipitation and temperature.
A Study of the Potential Effects of Deepening the Corpus Christi Ship Channel on Hurricane Storm Surge
Authors: Valseth Eirik , Dawson Clint , Buskey Edward 
Published: May 2022

Abstract
We present a case study of the potential impact on hurricane storm surge due to deepening the Corpus Christi Ship Channel through Aransas Pass in the region of Corpus Christi and Port Aransas, Texas. Our investigation is based on numerical mathematical models of the circulation of coastal water due to Hurricane Harvey and two synthetic hurricanes derived from Harvey. From the models, we ascertain maximum storm surge as well as elevation time series at critical locations in the study region. To assess the effects of a deeper channel, we compare the model outputs for current and proposed future channels. The models indicate that the changes to maximum storm surge magnitude are small and in large portions of the study area the models indicate a reduction in surge magnitude. However, there are some local areas where the models results show an increase of up to 15 centimeters.