Miracle-dz/UniFAR-FTUs huggingface dataset:
HELIOSEISMOLOGY WITH LONG-RANGE DARK MATTER–BARYON INTERACTIONS

Assuming the existence of a primordial asymmetry in the dark sector, we study how long-range dark matter (DM)–baryon interactions, induced by the kinetic mixing of a new U(1) gauge boson and a photon, affect the evolution of the Sun and, in turn, the sound speed the profile obtained from helioseismology. Thanks to the explicit dependence on the exchanged momenta in the differential cross section (Rutherford-like scattering), we find that DM particles with a mass of ∼10 GeV, kinetic mixing parameter of the order of 10−9, and a mediator with a mass smaller than a few MeV improve the agreement between the best solar model and the helioseismic data without being excluded by direct detection experiments. In particular, the LUX detector will soon be able to either constrain or confirm our best-fit solar model in the presence of a dark sector with long-range interactions that reconcile helioseismology with thermal neutrino results.
Knowledge Sharing Through Information Technology Infrastructure and Organizational Learning Capability: A Case Study of Aluminium Bahrain

The purpose of this research is to analyze the relationship between knowledge sharing through information technology infrastructure and organizational learning capability in Aluminium Bahrain B.S.C. (Alba). A quantitative approach was adopted in this study where a cross-sectional survey was employed. The sample consisted of 477 employees (15%) of the population. A self-administrated questionnaire was used to collect data from the sample. The questionnaire was adapted from existing measurements. The response rate was 23.9%. To test the hypotheses with Structural Equation Model (SEM), this study used Partial Least Square (PLS) as a statistical analysis technique. The collected data was analyzed using EXCEL, SPSS, and SmartPLS software. The findings revealed that knowledge sharing has a significant effect on organizational learning capability. The study presents significant implications to empower and occur more advancement in the linkage between the studied variables.
Comparison of dynamic model-based control algorithms for trajectory tracking in an omnidirectional robot

This paper presents the comparison of a PD+ and a Backstepping control scheme for the position tracking control of an Omnidirectional Mobile Robot (OMR). Both controllers are based on a candidate Lyapunov function, resulting in a control scheme that depends on parameters of the system dynamic model. For the above, it is required to know the robot mathematical model, which is described in this work. The mathematical model and the control algorithms developed are simulated in Matlab/simulink, thus validating the proposals behaviour. The results consider the presence of disturbances and the analysis of performance indices based on the error. In this way, it is shown that the Backstepping controller more accurately follows the desired path in the X-Y plane compared to the PD+ controller.
Genomic Effect of DNA Methylation on Gene Expression in Colorectal Cancer

Simple Summary Abnormal DNA methylation is known to regulate gene expression, and its features have been frequently observed in colorectal cancer (CRC) patients. In addition, alterations in DNA methylation can be proposed as biomarkers for cancer prognosis, as they occur in the early stage of carcinogenesis. Although numerous studies have attempted to shed light on the impacts of DNA methylation on gene expression, it is still unclear which specific regions regulate gene expression and how they are associated with patient survival. In this study, we elucidated the intricate relationship between DNA methylation and gene expression. Furthermore, we found genes that were influenced by DNA methylation and were associated with survival; these genes were mainly enriched in immune-related pathways. Abstract The aberrant expression of cancer-related genes can lead to colorectal cancer (CRC) carcinogenesis, and DNA methylation is one of the causes of abnormal expression. Although many studies have been conducted to reveal how DNA methylation affects transcription regulation, the ways in which it modulates gene expression and the regions that significantly affect DNA methylation-mediated gene regulation remain unclear. In this study, we investigated how DNA methylation in specific genomic areas can influence gene expression. Several regression models were constructed for gene expression prediction based on DNA methylation. Among these models, ElasticNet, which had the best performance, was chosen for further analysis. DNA methylation near transcription start sites (TSS), especially from 2 kb upstream to 7 kb downstream of TSS, had an essential regulatory role in gene expression. Moreover, methylation-affected and survival-associated genes were compiled and found to be mainly enriched in immune-related pathways. This study investigated genomic regions in which methylation changes can affect gene expression. In addition, this study proposed that aberrantly expressed genes due to DNA methylation can lead to CRC pathogenesis by the immune system.
Influence of Personal Experiences of Medical Students on Their Assessment of Delivering Bad News

Background: We aimed to identify which attitudes and emotions accompany latter-year medical students as they experience situations where bad news is communicated. Methods: A cross-sectional study was conducted using the computer-assisted web interview (CAWI) methodology in a group of 321 fifth- and sixth-year medical students from 14 medical universities in Poland. Correlations were analyzed using Pearson’s χ2 test. For the categorical variables, subject profiles were analyzed using K-means clustering. Results: Students’ self-assessments of their competence in delivering bad news (DBN) differed depending on the type of experience they had with it. More than half of the students had observed a situation of DBN (63.6%) and as many as 26.5% of the participants had received bad news themselves. These two groups were less likely to declare a lack of DBN-related skills (43.4% and 33.4%, respectively) than others. In this study, 9% of the students had personally delivered bad news. Only 13.4% of these students rated their DBN skills as insufficient. They were also the least likely to express concern regarding high levels of stress (29.6%) and anxiety (48%). Conclusions: The ability to personally deliver bad medical news to a patient was the most effective form of gaining experience in DBN. Being a bearer of bad news may help students develop their own strategies for coping with difficult emotions and develop their professional competences, leading to improved medical care and patient comfort.
Monocular Visual-Inertial Odometry for Agricultural Environments

The accuracy of autonomous robot localization using a monocular visual-inertial odometry system (VIO) is significantly reduced in an agricultural environment compared to an urban and indoor environment due to the unstructured scenes with unstable features, variation of light conditions, and rugged terrain. To address those challenges, we propose a monocular VIO system with modifications to the existing state-of-the-art monocular VIO system VINS-mono. Three modules of VINS-mono have improved in this work: vision processing front end, pose optimization, failure detection and recovery. In the vision processing front-end module, we proposed a keyframe selection algorithm base on vertical movement smoothness verification to prevent the rapid loss of feature tracks. In the pose optimization module, some feature points are removed using a depth-limited approach to improve the efficiency and accuracy of trajectory tracking. In the failure detection and recovery module, we propose a failure recovery method using the old trajectory poses, which can recover the trajectory tracking process interrupted by the failure and alleviate the orientation drift. Experiments on the Rosario dataset have shown that our system outperforms VINS-mono, and the absolute trajectory error in the agricultural environment can be at least reduced by 69% compared with the VINS-mono, which can effectively improve the localization accuracy of agriculture robots in the agricultural environment.
Methanol and hydrogen sulfide in comet P/Halley

The Neutral Mass Spectrometer on the Giotto spacecraft measured the gas and ion composition in the coma of comet P/Halley. A detailed model of the ion chemistry inside the contact surface located at 4660 km is used to interpret the measured ion desnity profiles in the 32 to 35 amu/e mass range. The masses 33 and 35 amu/e are dominated by the protonated methanol and hydrogen sulfide ions CH3OH2(+) and H3S(+). Both profiles are essentially compatible with CH3OH and H2S originating from the nucleus only. The production rates relative to water are Y(CH3OH) = Q(CH3OH)/Q(H2O) = 1.7% and Y(H2S) = 0.41%. Our Y(CH3OH) agrees well with a determination from IR spectra obtained about 6 weeks after the Giotto encounter with P/Halley. In 7 other comets IR and microwave observations give Y(CH3OH) values between about 0.7 and 6%, indicating that the methanol abundance shows a strong variability from comet to comet. In three other comets Y(H2S) values between 0.2 and 0.5% have been reported. In addition to H2S(+), only ions containing minor isotopes of H, C, O and S contribute to mass 34 amu/e (e.g. (34)S(+), (13)CH3OH2(+), CH4DO(+)). These contributions can be calculated from the measured densities of the ions containing the major isotopes and the H2S(+) contribution from the measured H3S(+) density. From mass 34 amu/e we can also derive an upper limit of 1% for the abundance of deuterated methanol. This limit is at most marginally compatible with a direct interstellar origin of the CH3OH in P/Halley as the measured interstellar abundance of deuterated methanol is 1 to 6%.
Automatic SPICE- Integrated Reinforcement Learning for Decap Optimization for EMI and Power Integrity

The automatic SPICE-integrated reinforcement learning (RL) is proposed for decap optimization for radiated electromagnetic interference (EMI) and power integrity. A power distribution network (PDN) structure is modeled in a circuit fashion to be solved in a SPICE solver. For EMI optimization, the branch currents for radiated EMI calculation were obtained from ac simulations. For PI optimization, the voltage fluctuations in time domain were obtained from transient simulations. Finally, it is demonstrated that a consistent RL environment integrated with SPICE solvers can be utilized in the optimization for both radiated EMI and PI.
One-Step Hydrothermal Synthesis of Highly Fluorescent MoS2 Quantum Dots for Lead Ion Detection in Aqueous Solutions

Lead ions in water are harmful to human health and ecosystems because of their high toxicity and nondegradability. It is important to explore effective fluorescence probes for Pb2+ detection. In this work, surface-functionalized molybdenum disulfide quantum dots (MoS2 QDs) were prepared using a hydrothermal method, and ammonium tetrathiomolybdate and glutathione were used as precursors. The photoluminescence quantum yield of MoS2 QDs can be improved to 20.4%, which is higher than that for MoS2 QDs reported in current research. The as-prepared MoS2 QDs demonstrate high selectivity and sensitivity for Pb2+ ions, and the limit of detection is 0.056 μM. The photoluminescence decay dynamics for MoS2 QDs in the presence of Pb2+ ions in different concentrations indicate that the fluorescence quenching originated from nonradiative electron transfer from excited MoS2 QDs to the Pb2+ ion. The prepared MoS2 QDs have great prospect and are expected to become a good method for lead ion detection.
Evaluation of the Psychometric Properties of the Arab Compulsive Internet Use Scale (CIUS) by Item Response Theory Modeling (IRT)

Introduction: The psychometric properties of the Arab translation of the Compulsive Internet Use Scale (CIUS) have been previously studied by confirmatory factor analysis (CFA) with AMOS software using the asymptotically distribution-free (ADF) estimator. Unidimensionality has been achieved at the cost of correlating several item variance errors. However, several reviews of SEM software packages and estimation methods indicate that the option of robust standard errors is not present in the AMOS package and that ADF estimation may yield biased parameter estimates. We therefore explored a second analysis through item response theory (IRT) using the parametric graded response model (GRM) and the marginal maximum likelihood (MML) estimation method embedded in the LTM package of R software. Differential item functioning (DIF) or item bias across subpopulations was also explored within IRT framework as different samples were investigated. The objective of the current study is to (1) analyze the Arab CIUS scale with IRT, (2) investigate DIF in three samples, and (3) contribute to the ongoing debate on Internet-use-related addictive behaviors using the CIUS items as a proxy. Methods: We assessed three samples of people, one in Algeria and two in Lebanon, with a total of 1520 participants. Results: Almost three out of every five items were highly related to the latent construct. However, the unidimensionality hypothesis was not supported. Furthermore, besides being locally dependent, the scale may be weakened by DIF across geographic regions. Some of the CIUS items related to increasing priority, impaired control, continued use despite harm, and functional impairment as well as withdrawal and coping showed good discriminative capabilities. Those items were endorsed more frequently than other CIUS items in people with higher levels of addictive Internet use. Conclusions: Contrary to earlier ADF estimation findings, unidimensionality of the CIUS scale was not supported by IRT parametric GRM in a large sample of Arab speaking participants. The results may be helpful for scale revision. By proxy, the study contributes to testing the validity of addiction criteria applied to Internet use related-addictive behaviors.
Explaining radio emission of magnetars via rotating and oscillating magnetospheres of neutron stars

We investigate the conditions for radio emission in rotating and oscillating magnetars, by focusing on the main physical processes determining the position of their death-lines in the P-\dot{P} diagram, i.e. of those lines that separate the regions where the neutron star may be radio-loud or radio-quiet. After using the general relativistic expression for the electromagnetic scalar potential in the magnetar magnetosphere, we find that larger compactness parameters of the star as well as larger inclination angles between the rotation axis and the magnetic moment produce death-lines well above the majority of known magnetars. This is consistent with the observational evidence of no regular radio emission from the magnetars in the frequency range typical for the ordinary pulsars. On the contrary, when oscillations of the magnetar are taken into account, the death-lines shift downward and the conditions necessary for the generation of radio emission in the magnetosphere are met. Present observations showing a close connection between the burst activity of magnetars and the generation of the radio emission in the magnetar magnetosphere are naturally accounted for within our interpretation.
A Classification Model of EEG Signals Based on RNN-LSTM for Diagnosing Focal and Generalized Epilepsy

Epilepsy is a chronic neurological disorder caused by abnormal neuronal activity that is diagnosed visually by analyzing electroencephalography (EEG) signals. Background: Surgical operations are the only option for epilepsy treatment when patients are refractory to treatment, which highlights the role of classifying focal and generalized epilepsy syndrome. Therefore, developing a model to be used for diagnosing focal and generalized epilepsy automatically is important. Methods: A classification model based on longitudinal bipolar montage (LB), discrete wavelet transform (DWT), feature extraction techniques, and statistical analysis in feature selection for RNN combined with long short-term memory (LSTM) is proposed in this work for identifying epilepsy. Initially, normal and epileptic LB channels were decomposed into three levels, and 15 various features were extracted. The selected features were extracted from each segment of the signals and fed into LSTM for the classification approach. Results: The proposed algorithm achieved a 96.1% accuracy, a 96.8% sensitivity, and a 97.4% specificity in distinguishing normal subjects from subjects with epilepsy. This optimal model was used to analyze the channels of subjects with focal and generalized epilepsy for diagnosing purposes, relying on statistical parameters. Conclusions: The proposed approach is promising, as it can be used to detect epilepsy with satisfactory classification performance and diagnose focal and generalized epilepsy.
Analysing the Quality of Life of Older Adults: Heterogeneity, COVID-19 Lockdown, and Residential Stability

This study aims to, first, investigate the quality of life (QOL) of older adults in Taiwan, from the perspective of heterogeneity and, second, clarify the social isolation affecting their QOL during the pandemic. Additionally, it explores the residential stability of older adults. Our empirical model, a Generalized Ordered Probit Model, uses secondary data from the 2019 Taiwan Social Change Survey for people aged 65 and above, with a total sampling size of 417. The results show that the self-assessed physical health of older adults is a significantly heterogeneous variable affecting their QOL, and has a varying impact on the probability of them being satisfied with their QOL. Results suggest that better financial plans and staying healthy are the main determinants of their QOL. Social isolation during the COVID-19 pandemic significantly hampered their QOL, which was not compensated by the use of the internet. Furthermore, older adults’ residential stability significantly influences their QOL. Family members and relevant social work units should contribute to in-person home care for older adults to reduce their social isolation, with a focus on improving their living environments and to ensure that they age in a safe and healthy place.
Routine dynamics: Toward a critical conversation

In this essay, we suggest new research directions for the study of routines that intersect with and draw upon conversations about the reproduction of privilege and oppression as a strategic issue in organizations. We focus on how social inequality is reproduced and normalized by routines. We describe and illustrate how analyzing the dynamics of organizational routines can help us understand the production and reproduction of social inequality and the possibility of amelioration.
A rule-based approach for detecting heartbleed cyber attacks

Today, cyber security is a very critical issue to be addressed at several levels for minimizing the effects and consequences of cyber attacks. In the last decade many coun-termeasures and intrusion detection systems (IDSs) have been developed for facing this important issue, and to keep always high the level of security, all systems (both hardware and software features) should be continuously updated.
Ambidexterity and organizational performance of Brazilian exporting companies

Objective: To investigate the effect of exploration, exploitation, sales growth and profitability of exporting companies located in four Brazilian states. Method: Data were processed and analyzed based on multivariate statistical procedures and Structural Equation Modeling with 216 exporting companies located in four states of Brazil, an emerging economy country. Main Results: The findings reveal a positive and significant effect of the exploration and exploitation dimensions on sales growth and profitability in the sample of companies investigated. Relevance / Originality: The analyzed regions are considered important for the Brazilian economy because they have different characteristics in geographic position, an abundance of natural resources, export of products and diversity of human knowledge. Finally, a theoretical framework was developed that covers the theory of Resource-Based View (RBV), exploration, exploitation and organizational performance dimensions. Theoretical / Methodological Contributions: The proposition of a theoretical framework containing relational aspects of the dimensions of ambidexterity (exploration and exploitation) and organizational performance (sales growth and profitability) associated with the RBV theory can contribute to the theoretical improvement of administrative sciences. Social / Management Contributions: The analyzed sample showed low profitability is more prone to exploitaton capabilities. On the other hand, companies with high profitability showed a greater inclination towards exploration capabilities. Companies with low sales growth indicate a greater inclination towards exploration capabilities, despite the small difference between exploration and exploitation for a group of companies.
Decreased FOXO1 Expression Is Correlated with Poor Prognosis in Myelodysplastic Syndromes

Myelodysplastic syndrome is one of the main hematological malignancies that threaten the health of the elderly. However, biomarkers which predict the progression and prognosis of MDS are still controversial and puzzling. FOXO1 gene plays an important role in a variety of intracellular functions, including tumor suppression and cellular immune regulation. However, there is no research report on the correlation between FOXO1 and the clinical features of MDS including immune environment. In this study, we observed that FOXO1 expression is associated with neutrophil count, blasts, chromosome and different MDS scoring systems. FOXO1 expression is closely related to MDS cell immune polarization, and the increase expression of FOXO1 is significantly related to the amplification of immune cell polarization ratio. In addition, FOXO1 expression is associated with progression-free survival and overall survival in MDS patients. Moreover, in a multivariate model FOXO1 low-expression was an independent predictor of poor survival in MDS. In summary, FOXO1 may play a candidate tumor suppressor in MDS, and FOXO1 is a useful independent prognostic predictor in MDS, and it may provide a candidate target therapy in future.
Stage-Dependent Activity and Pro-Chondrogenic Function of PI3K/AKT during Cartilage Neogenesis from Mesenchymal Stromal Cells

Differentiating mesenchymal stromal cells (MSCs) into articular chondrocytes (ACs) for application in clinical cartilage regeneration requires a profound understanding of signaling pathways regulating stem cell chondrogenesis and hypertrophic degeneration. Classifying endochondral signals into drivers of chondrogenic speed versus hypertrophy, we here focused on insulin/insulin-like growth factor 1 (IGF1)-induced phosphoinositide 3-kinase (PI3K)/AKT signaling. Aware of its proliferative function during early but not late MSC chondrogenesis, we aimed to unravel the late pro-chondrogenic versus pro-hypertrophic PI3K/AKT role. PI3K/AKT activity in human MSC and AC chondrogenic 3D cultures was assessed via Western blot detection of phosphorylated AKT. The effects of PI3K inhibition with LY294002 on chondrogenesis and hypertrophy were assessed via histology, qPCR, the quantification of proteoglycans, and alkaline phosphatase activity. Being repressed by ACs, PI3K/AKT activity transiently rose in differentiating MSCs independent of TGFβ or endogenous BMP/WNT activity and climaxed around day 21. PI3K/AKT inhibition from day 21 on equally reduced chondrocyte and hypertrophy markers. Proving important for TGFβ-induced SMAD2 phosphorylation and SOX9 accumulation, PI3K/AKT activity was here identified as a required stage-dependent driver of chondrogenic speed but not of hypertrophy. Thus, future attempts to improve MSC chondrogenesis will depend on the adequate stimulation and upregulation of PI3K/AKT activity to generate high-quality cartilage from human MSCs.