Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study.

Background Although surgical pathology or biopsy are considered the gold standard for glioma grading, these procedures have limitations. This study set out to evaluate and validate the predictive performance of a deep learning radiomics model based on contrast-enhanced T1-weighted multiplanar reconstruction images for grading gliomas. Methods Patients from three institutions who diagnosed with gliomas by surgical specimen and multiplanar reconstructed (MPR) images were enrolled in this study. The training cohort included 101 patients from institution 1, including 43 high-grade glioma (HGG) patients and 58 low-grade glioma (LGG) patients, while the test cohorts consisted of 50 patients from institutions 2 and 3 (25 HGG patients, 25 LGG patients). We then extracted radiomics features and deep learning features using six pretrained models from the MPR images. The Spearman correlation test and the recursive elimination feature selection method were used to reduce the redundancy and select most predictive features. Subsequently, three classifiers were used to construct classification models. The performance of the grading models was evaluated using the area under the receiver operating curve, sensitivity, specificity, accuracy, precision, and negative predictive value. Finally, the prediction performances of the test cohort were compared to determine the optimal classification model. Results For the training cohort, 62% (13 out of 21) of the classification models constructed with MPR images from multiple planes outperformed those constructed with single-plane MPR images, and 61% (11 out of 18) of classification models constructed with both radiomics features and deep learning features had higher area under the curve (AUC) values than those constructed with only radiomics or deep learning features. The optimal model was a random forest model that combined radiomic features and VGG16 deep learning features derived from MPR images, which achieved AUC of 0.847 in the training cohort and 0.898 in the test cohort. In the test cohort, the sensitivity, specificity, and accuracy of the optimal model were 0.840, 0.760, and 0.800, respectively. Conclusions Multiplanar CE-T1W MPR imaging features are more effective than features from single planes when differentiating HGG and LGG. The combination of deep learning features and radiomics features can effectively grade glioma and assist clinical decision-making.
Performance Analysis of LSTMs for Daily Individual EV Charging Behavior Prediction

In this paper, we evaluate and analyze the performance of long short-term memory networks (LSTMs) for individual electric vehicle (EV) charging behavior prediction over the next day. The charging behavior consists of the charging duration level within a certain upper and lower range, the time slots in which charging will take place, the number of times charging will take place in each time slot, and whether the next day will be a charging day or not. Unlike existing work, we evaluate the behavior prediction performance for increasing resolutions of charging duration levels and charging time slots, using varying lengths of training data. The performance of the proposed approach is validated using real EV charging data, and comparison with other machine learning methods shows its generally superior prediction accuracy for all resolutions. We show that the best performance is achieved when around 8–10 months of data are used as training data. It is also shown that although the performance of the LSTMs degrades with increasing resolution, the performance for charging time slot prediction is affected less compared to that for charging duration prediction. We further propose, analyze and evaluate a new technique that improves the charging duration prediction performance.
Instructional Policy From Pre-K to Third Grade: The Challenges of Fostering Alignment and Continuity in Two School Districts

In an effort to improve learning for young children and respond to preschool fade out, some districts are working on “PreK-3” initiatives to create better connected learning pathways for children. In these pathways, primary grades continue to build on what children learn in preschool; they also present potential implementation challenges that are not accounted for in the literature. Using conceptual tools from institutional theory and empirical evidence from a study of two school districts, we show how challenges arise as districts try to bridge the divergent and entrenched institutional systems of preschool and elementary. Our findings suggest that these systems are each held in place by their own set of regulative, normative, and cultural-cognitive mechanisms that reinforce one another thereby providing an explanation for why beliefs and practices are so resistant to change. This analysis also points to practical implications that may lead to better connections and learning experiences for young children.
EXPERIMENTAL INVESTIGATION OF CONVECTIVE HEAT TRANSFER IN A NARROW RECTANGULAR CHANNEL FOR UPWARD AND DOWNWARD FLOWS

Heat transfer characteristics in a narrow rectangular channel are experimentally investigated for upward and downward flows. The experimental data obtained are compared with existing data and predictions by many correlations. Based on the observations, there are differences from others: (1) there are no different heat transfer characteristics between upward and downward flows, (2) most of the existing correlations under-estimate heat transfer characteristics, and (3) existing correlations do not predict the high heat transfer in the entrance region for a wide range of Re. In addition, there are a few heat transfer correlations applicable to narrow rectangular channels. Therefore, a new set of correlations is proposed with and without consideration of the entrance region. Without consideration of the entrance region, heat transfer characteristics are expressed as a function of Re and Pr for turbulent flows, and as a function of Gz for laminar flows. The correlation proposed for turbulent and laminar flows has errors of ±18.25 and ±13.62%, respectively. With consideration of the entrance region, the heat transfer characteristics are expressed as a function of Re, Pr, and z* for both laminar and turbulent flows. The correlation for turbulent and laminar flows has errors of ±19.5 and ±22.0%, respectively.
Analytical Asymptotic Solutions for Rectangular Laminated Composite Plates

An analytical solution for rectangular laminated composite plates was obtained via a formal asymptotic method. From threedimensional static equilibrium equations, the microscopic one-dimensional and macroscopic two-dimensional equations were systematically derived by scaling of the thickness coordinate with respect to the characteristic length of the plate. The onedimensional through-the-thickness analysis was performed by applying a standard finite element method. The derived twodimensional plate equations, which take the form of recursive equations, were solved under sinusoidal loading with simplysupported boundary conditions. To demonstrate the validity and accuracy of the present method, various types of composite plates were studied, such as cross-ply, anti-symmetric angle-ply and sandwich plates. The results obtained were compared to those of the classical laminated plate theory, the first-order shear deformation theory and the three-dimensional elasticity. In the present analysis, the characteristic length of each composite was dependent upon the layup configurations, which affected the convergence rate of the method. The results shown herein are promising that it can serve as an efficient tool for the analysis and design of laminated composite plates.
The Relationship Between Foreign Direct Investment And The Higher Education System In Romania

The relationship between the foreign direct investments received by a country and its system of higher education is not yet completely clarified. Also, due to the fact that aspects related to the system of higher education are not directly linked with the economical performance of a country, the linkages between variables from this domain and the level of foreign direct investments received by a country has not been a major topic in the scientific literature, neither at global nor national level. In this study we propose a quantitative approach destined to describe and quantify the connection between inflows of FDI and the number of students enrolled in the tertiary education level for the case of Romania. Based on yearly data for the period 1990 – 2012 the study uses a VAR approach in order to study the bidirectional linkage between the two variables. The study provides some evidence that the level of the FDI attracted in Romania can be regarded as having a short term influence on the number of students enrolled in tertiary education and also the fact that the reverse is not true.
Collaboration for social innovation in the agri-food system in Latin America and the Caribbean

Aim of study: This study reviews the state of the art of collaboration for social innovation in food and rural systems. The analysis focuses on cooperation by farms and agro-industry companies. The purpose is to identify not only the state of the art of this research topic but also the main authors, the countries where these studies are conducted and the dynamics of research networks in relation to these topics. Area of study: Latin America and the Caribbean (LAC). Material and methods: The Web of Science database was used to search for articles containing the terms ‘cooperation’, ‘networks’, ‘innovation’, ‘social’, ‘rural’ and ‘LAC’. Using VOSviewer network creation and analysis software, maps of citations, co-authorship, co-citations and co-occurrence of key-words were created and analysed. Content analysis was then performed. Finally, the research areas that the authors of the analysed articles consider to be of interest for future research were identified.
The Use of Massive Multi-Player Gaming Technology for Military Training: A Preliminary Evaluation

Publicly available Massive Multi-Player Games (MMPG) allow multiple individuals to work together in simulated situations. To meet complex game objectives, users must exhibit high degrees of coordination. This is similar to the types of interactions required for effective coordination in military team environments, and this resemblance has not gone unnoticed. DARWARS is an initiative that aims to support a diverse array of distributed simulation-based military instruction, including those that allow large numbers of participants to interact in on-line virtual worlds. In effect, MMPGs are being considered as platforms for future training. In this paper, we describe a framework and evaluate a preliminary methodology for training teamwork skills (e.g., information exchange, teammate monitoring) in an MMPG environment. Data collected from a field exercise of 40 infantry soldiers suggests that MMPGs are capable of training teamwork skills in distributed environments. Based on the results of this exercise, we provide practice-oriented guidelines for using MMPGs as a training tool, and offer some suggestions for future research into effective performance measurement paradigms in this environment.
Idling Natural Characteristic Analysis of the Torsion Absorber with Dual Mass Flywheel

Based on the analysis of two kinds of torsion absorber of automobile power train, a power train idling vibration model with nine degrees of freedom is established, the generalized Jacobin algorithms and the compiled Matlab procedures are used to calculate the idling natural frequency and idling natural vibration model. The results show that the dual mass flywheel torsion absorber can keep the power train from idling resonance compared with the clutch torsion absorber and play a good role in attenuating the low frequency torsion vibration of power train.
Calculation of equivalent circuit constants of synchronous machines considering field transient characteristics using DC decay testing method with open and shorted field windings

It has been reported that the calculated values of field transient behavior in a synchronous machine differ considerably from the measured values. This discrepancy is caused by the use of equivalent circuit constants in the standardized tests provided by JEC‐2130 and IEC‐60034‐4, in which the mutual leakage reactance between the damper and field windings is not accounted for. The authors have been studying a method for calculating equivalent circuit constants for the accurate simulation of transient behavior including the field winding side, by means of a standstill test with a small‐capacity DC power supply (DC decay testing method). The authors have previously presented a calculation method using operational impedances with the field windings opened, shorted, and shorted with an external resistance, obtained by the DC decay test. This paper presents a new method in which the external resistance used in our previous method is no longer needed. Instead, the field winding impedance is determined on the basis of its invariability against slip. The validity of the new method is demonstrated by comparing the calculated and measured values of the armature and field currents during a sudden three‐phase short‐circuit using 10 kVA/200 V/31.9 A/4 P/50 Hz test machines. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 178(2): 39–46, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21207
Combat-Related Post-traumatic Stress Disorder: A Case Report of Virtual Reality Graded Exposure Therapy With Physiological Monitoring in a U.S. Navy Officer and a U.S. Army Officer

The U.S. Department of Defense (DoD) and the Department of Veterans Affairs (DVA) seek to enhance the efficacy of treatments for warriors with post-traumatic stress disorder (PTSD) secondary to their combat deployments to Iraq and/or Afghanistan. Virtual Reality Graded Exposure Therapy (VR-GET) with arousal control has shown particular promise in reducing the symptom severity of PTSD in combat veterans. In this report, we describe the outcome of VR-GET for the treatment of combat-related PTSD in two combat veterans, neither of whom had received treatment for PTSD in the initial years after their return from combat duty.
Wide bandwidth single and three-phase PLL structures for grid-tied PV systems

This paper presents a detailed description of a three-phase PLL (phase-locked loop) structure that fits the requirements of utility connected PV systems. The tuning of the PLL structure is discussed as well as its under utility distorted conditions. A new single-phase PLL topology is introduced. Its dynamic behavior is evaluated and its quasi-instantaneous ability to detect phase, frequency and amplitude of the utility voltage is highlighted. The analysis of the performance of the introduced single-phase PLL topology under islanding condition is also presented. Simulation and experimental results are included to support the theoretical study.
Predictive value of mRNA expression and dynamic changes from immune related biomarkers in liquid biopsies before and after start of pembrolizumab in stage IV non-small cell lung cancer (NSCLC)

Background The aim of this study was to determine whether mRNA expressions and dynamic changes of immune-related genes before and after starting first-line treatment with the PD-1 inhibitor pembrolizumab in patients with NSCLC were of predictive value. Methods CD3, CD8, PD-1, PD-L1 and CTLA-4 mRNA expression levels were measured from peripheral blood before and after three weeks of treatment with the PD-1 inhibitor. Univariate and multivariate analyses were performed retrospectively. Response, progression-free survival (PFS) and overall survival (OS) were determined. Results In univariate analysis an increase of CD3 and CD8 mRNA expression after the first cycle of pembrolizumab were each associated with improved PFS and OS. In contrast, patients with no change or with a decrease in CD3 and CD8 mRNA expression showed significantly worse outcome. CD8 mRNA increase remained an independent predictive factor for PFS and OS in the multivariate analysis with p values of 0.011 and 0.006, respectively. Conclusions An increase of CD8 mRNA expression predicts favorable outcome after first line monotherapy with pembrolizumab, while no change or decrease might serve as an indicator of poor outcome and might give cause for early treatment escalation for instance by addition of chemotherapy or additional ICI treatment, e.g., against CTLA-4.
Perceptions and Practice of Preconception Care by Healthcare Workers and High-Risk Women in South Africa: A Qualitative Study

Preconception care is biomedical, behavioural, and social health interventions provided to women and couples before conception. This service is sometimes prioritised for women at high risk for adverse pregnancy outcomes. Evidence revealed that only very few women in Africa with severe chronic conditions receive or seek preconception care advice and assessment for future pregnancy. Thus, this study aimed to explore the perceptions and practice of preconception care by healthcare workers and high-risk women in Kwa-Zulu-Natal, South Africa. This exploratory, descriptive qualitative study utilised individual in-depth interviews to collect data from 24 women at high risk of adverse pregnancy outcomes and five healthcare workers. Thematic analysis was conducted using Nvivo version 12. Five main themes that emerged from the study include participants’ views, patients’ access to information, practices, and perceived benefits of preconception care. The healthcare workers were well acquainted with the preconception care concept, but the women had inconsistent acquaintance. Both groups acknowledge the role preconception care can play in the reduction of maternal and child mortality. A recommendation is made for the healthcare workers to use the ‘One key’ reproductive life plan question as an entry point for the provision of preconception care.
Patient Experience with COVID-19 in Indonesia

Background: Indonesia when it related disease Covid-19 tended to increase in number, in some home sick in Jakarta and several cities large in Indonesia, by a team of group assignment Indonesia, patient covid are at the age actively, and without symtoms. Mortality are high the world is in 5-9% of patients led to fears of its own in the community. The necessity of insulating themselves become important leaving easy transmission of the patient to the healthy. The community is afraid and has a negative stigma that causes Covid 19 sufferers to be ostracized. Another thing that is not less important is the disruption of basic needs when suffering from illness. Aims: exploring the experience of participatory suffering from Covid-19. Methods: This study is a qualitative exploratory study to explore the experiences of Covid-19 participants. Participants study amounted to nine participants with a purposive sample. Results: The experience of participants gives an idea as a whole knows the feeling of the participants faced Covid-19 and change the value, trust and confidence of patients Covid-19. The results of the study t erdapat response of the patient in the face of illness Covid-19 related to the activity of the physical, psychological and changes in the environment as well as changes in values, beliefs and convictions. Conclusion: In the study it was obtained nine themes among others: (1) feeling or response that is experienced in the face of illness Covid-19, (2) type of attention or support that is obtained from the environment to face Covid-19, (3) discrimination are experienced by participants Covid-19, (4) Efforts made by Covid-19 participants to achieve recovery , (5) Ability to recognize signs and symptoms of disease / physical changes, (6) Changes in values, beliefs and beliefs and expectations of Covid-19 sufferers. Recommendation: The results of the study suggest energy treatments do care that is comprehensive, for the power of education also should give how do care nursing holistic and provide education to the community about Covid-19.
Does Innovation Explain the Skewness of Stock Returns?

This paper investigates the impact of firm-level innovation on the skewness of stock returns. Using data on a broad sample of equities from the major US stock exchanges, we find that innovative companies exhibit strong positive skewness. Our results are robust to both input and output measures of innovation as we find that increases in both firm-level research and development expenditure (R&D), as well as the number of patents, are positively associated with future stock return skewness. Our results hold using both systematic and idiosyncratic measures of skewness while controlling for various stock characteristics, time, and industry-fixed effects.
Leadership Substitutes and Personality Impact on Time and Quality in Virtual New Product Development Projects

Leadership, personality, and organizational factors were analyzed to measure their combined effect on virtual-based product development time and scope-quality performance. Over 1,000 team members were surveyed. MANCOVA was used to test if leadership, personality project, and/or organizational factors impacted performance. All realistic factors were included to detect leadership substitutes moderation, mediation, and prediction. Bias was reduced by not surveying leaders, by using reverse item coding, and by checking social desirability. Experimental control and common method variance were managed by including multilevel and multisource data. Performance was objectively computed from organizational data. The findings were that transactional leadership (not transformational) and some personality attributes (leader substitutes) were significant factors, increasing project scope quality and time performance.
Growth differential related to wood structure and function of Eucalyptus spp. clones adapted to seasonal drought stress

Aim of the study: To evaluate the growth performance, wood density and anatomical features of four drought-tolerant Eucalyptus spp. clones, at 4 years, and to examine the relationships between these characteristics and some functional parameters. Area of study: The analyzed trees were from a clonal test installed in a region characterized by seasonal drought stress in central-western Brazil. Methods: Trees were felled, followed by obtaining dendrometric parameters and wood disk sampling to determine wood bulk density by x-ray densitometry, and morphometric parameters of fibers and vessels in order to evaluate the xylem hydraulic architecture. Lumen fraction (F), vessel composition (S) and hydraulic conductivity (Ks) were estimated. Results: Clone D (E. urophylla x E grandis) presented the highest growth rates, which was related to anatomical characteristics such as low relative frequency of wide vessels. High theoretical Ks does not necessarily imply higher growth rates and were related to lower wood densities. It is possible to infer that the better xylem adjustability of Eucalyptus trees in response to drought stress conditions is associated with increased vessel composition to the detriment of higher hydraulic conductivity. Research highlights: Vessel composition showed a greater variation among Eucalyptus genotypes and was positively associated with growth performance.