Miracle-dz/UniFAR-FTUs huggingface dataset:
Preoperative albumin-alkaline phosphatase ratio affects the prognosis of patients undergoing hepatocellular carcinoma surgery

BACKGROUND: The correlation between the preoperative albuminalkaline phosphatase ratio (AAPR) and the prognosis of hepatocellular carcinoma (HCC) patients after radical resection is still not comprehensive. OBJECTIVE: This study aims to observe the correlation between preoperative AAPR and the prognosis of HCC patients after radical resection. METHODS: We constructed a retrospective cohort study and included 656 HCC patients who underwent radical resection. The patients were grouped after determining an optimum AAPR cut-off value. We used the Cox proportional regression model to assess the correlation between preoperative AAPR and the prognosis of HCC patients after radical resection. RESULTS: The optimal cut-off value of AAPR for assessing the prognosis of HCC patients after radical resection was 0.52 which was acquired by using X-tile software. Kaplan-Meier analysis curves showed that a low AAPR (⩽ 0.52) had a significantly lower rate of overall survival (OS) and recurrence-free survival (RFS) (P< 0.05). Multiple Cox proportional regression showed that an AAPR > 0.52 was a protective factor for OS (HR = 0.66, 95%CI 0.45-0.97, p= 0.036) and RFS (HR = 0.70, 95% CI 0.53–0.92, p= 0.011). CONCLUSIONS: The preoperative AAPR level was related to the prognosis of HCC patients after radical resection and can be used as a routine preoperative test, which is important for early detection of high-risk patients and taking personalized adjuvant treatment.
Baseline cognitive function predicts full remission of suicidal symptoms among patients with treatment-resistant depression and strong suicidal ideation after low-dose ketamine infusion

Background: Whether pretreatment working memory and response inhibition function are associated with the rapid and sustained antisuicidal effect of low-dose ketamine among patients with treatment-resistant depression (TRD) and strong suicidal ideation is unclear. Methods: We enrolled 65 patients with TRD, comprising 33 who received a single infusion of 0.5 mg/kg ketamine and 32 who received a placebo infusion. The participants performed working memory and go/no-go tasks prior to infusion. We assessed suicidal symptoms at baseline and on postinfusion Days 2, 3, 5, and 7. Results: The full remission of suicidal symptoms persisted for 3 days after a single ketamine infusion and the ketamine-related antisuicidal effect persisted for 1 week. Lower cognitive impairment at baseline (indicated by a higher rate of correct responses on a working memory task) was associated with the rapid and sustained antisuicidal effect of low-dose ketamine in patients with TRD and strong suicidal ideation. Discussion: Patients with TRD and strong suicidal ideation but low cognitive impairment may benefit the most from the antisuicidal effect of low-dose ketamine.
Moving Boundary Problem Arising in Explosion and Impact: An Algorithm for Youngs' Interface Reconstruction

In order to improve the precision of identification of moving boundaries, Youngs' interface reconstruction algorithm is extended to the three dimensional Cartesian coordinate system. By incorporating this algorithm with the MMIC-3D hydrocode for the simulation of explosion and impact, the propagation of shock waves in a building with protective walls and in a decompression device is studied numerically. The effect of the position and shape of the protective walls on the shock wave pressure is analyzed. Our results could be used to prevent explosion disasters.
Intrapersonal and Interpersonal Disengagement Coping: Associations with Emotions of Youth At-Risk for Huntington's Disease.

BACKGROUND Families in which a parent has Huntington's disease (HD) are faced with significant stressors that can contribute to difficulties in communicating together about illness-related concerns. Family members who use more disengagement coping strategies, including denial and avoidance, to deal with illness-related stressors may have the greatest challenges to effective communication. OBJECTIVE The current study examined the associations of intrapersonal and interpersonal disengagement coping responses with observed and reported emotions of adolescents and young adults (AYA) at genetic risk for HD. METHODS Families included 42 AYA (n = 26 females) ages 10 to 34 (M = 19 years, 11 months; SD = 7 years, 6 months) and their parent with HD (n = 22 females, M age = 46 years, 10 months; SD = 9 years, 2 months). Dyads participated in observations of communication and completed questionnaires about disengagement coping and internalizing symptoms. RESULTS Disengagement coping of AYA was unrelated to their observed and reported emotional difficulties (intrapersonal coping). However, there was evidence for the importance of interpersonal disengagement coping, as AYA's negative affect was observed and reported to be highest when both AYA and their parents reported using high levels of avoidance, denial, and wishful thinking to cope with HD-related stress. CONCLUSION The findings underscore the importance of a family-oriented approach to coping and communication in families affected by HD.
Combining auditory and visual menus

Despite growing interest in touch screen and gesture interfaces for auditory menus, there usually is lacking interoperability between visual and auditory menus. The same control logic for both visual and auditory domains could facilitate switching to eyes-free use when needed and improve accessibility for visually impaired users. This paper presents an efficient control interface for both domains and usability tests with three interaction methods. Results show that auditory and visual menus with the same control logic can provide a fast and usable interface to control devices. Furthermore, the same auditory menu can be accessed with a gesture interface. Overall, the touch screen interaction with a visual display was fastest, the touch screen interaction with auditory display was almost as fast, while the gesture interface with an auditory display was slowest. The novel interface paradigm is explained by an example application that allows eyes-free touch screen and gesture access to a music collection on a mobile phone.
Deciphering transcriptional dynamics of cardiac hypertrophy and failure in a chamber-specific manner

Pressure overload-induced pathological cardiac hypertrophy (CH) is a complexed and adaptive remodeling of the heart, predominantly involving an increase in cardiomyocyte size and thickening of ventricular walls. Over time, these changes can lead to heart failure (HF). However, the individual and communal biological mechanisms of both processes remain poorly understood. This study aimed to identify key genes and signaling pathways associated with CH and HF following transverse aortic constriction (TAC) at four weeks and six weeks, respectively, and to investigate potential underlying molecular mechanisms in this dynamic transition from CH to HF at the whole cardiac transcriptome level. Initially, a total of 363, 482, and 264 differentially expressed genes (DEGs) for CH, and 317, 305, and 416 DEGs for HF were identified in the left atrium (LA), left ventricle (LV), and right ventricle (RV), respectively. These identified DEGs could serve as biomarkers for the two conditions in different heart chambers. Additionally, two communal DEGs, elastin (ELN) and hemoglobin beta chain-beta S variant (HBB-BS), were found in all chambers, with 35 communal DEGs in the LA and LV and 15 communal DEGs in the LV and RV in both CH and HF. Functional enrichment analysis of these genes emphasized the crucial roles of the extracellular matrix and sarcolemma in CH and HF. Lastly, three groups of hub genes, including the lysyl oxidase (LOX) family, fibroblast growth factors (FGF) family, and NADH-ubiquinone oxidoreductase (NDUF) family, were determined to be essential genes of dynamic changes from CH to HF.
Missing data methods for arbitrary missingness with small samples

ABSTRACT Missing data are a prevalent and widespread data analytic issue and previous studies have performed simulations to compare the performance of missing data methods in various contexts and for various models; however, one such context that has yet to receive much attention in the literature is the handling of missing data with small samples, particularly when the missingness is arbitrary. Prior studies have either compared methods for small samples with monotone missingness commonly found in longitudinal studies or have investigated the performance of a single method to handle arbitrary missingness with small samples but studies have yet to compare the relative performance of commonly implemented missing data methods for small samples with arbitrary missingness. This study conducts a simulation study to compare and assess the small sample performance of maximum likelihood, listwise deletion, joint multiple imputation, and fully conditional specification multiple imputation for a single-level regression model with a continuous outcome. Results showed that, provided assumptions are met, joint multiple imputation unanimously performed best of the methods examined in the conditions under study.
The Effect of Mixed Polymethylmethacrylate and Hydroxyapatite on Viability of Stem Cell from Human Exfoliated Deciduous Teeth and Osteoblast

Abstract Objectives Stem cell from human exfoliated deciduous teeth (SHED) has great potential for bone tissue engineering and cell therapy for regenerative medicine. It has been combined with biomaterials such as mixed of polymethylmethacrylate (PMMA) and hydroxyapatite (HA) as candidates for synthetic bone graft biomaterial. The aim of this study was to analyze the toxicity test of mixed PMMA-HA scaffold seeded with SHED and osteoblast in vitro . Materials and Methods SHED was isolated from the pulp of noncarious deciduous teeth and osteoblast cells were cultured, and exposed to PMMA-HA scaffolds with three concentration groups: 20/80, 30/70, and 40/60 for 24 hours. Cytotoxicity test was performed by MTT assay to cell viability. Statistical Analysis Data were analyzed using IBM SPSS Statistics 25, one-way analysis of variance followed by least significant difference test, considering the level of significance p -value less than 0.05 Results The percentage of SHED's viability was best in the PMMA-HA group with concentrations of 20/80, followed by 30/70, and 40/60 with 87.03, 75.33, and 65.79%, respectively. The percentage of osteoblast cell's viability was best in the PMMA-HA group with concentrations of 20/80, followed by 30/70, and 40/60 with 123.6, 108.36, and 93.48%, respectively. Conclusions Mixed PMMA-HA was not toxic for the SHED and osteoblast. This characteristic is the initial requirement to be proposed as an alternative material for healing alveolar bone defects. In vivo animal research is mandatory to confirm the use of PMMA-HA on the alveolar defect model.
Corn Row Navigation Line Extraction Method Based on the Adaptive Edge Detection Algorithm

Aiming at the problems of long detection time and large detection error when agricultural machinery extracts corn row navigation lines, a method of corn row navigation line extraction based on the adaptive edge detection algorithm is proposed. First, the improved super-green feature algorithm and the maximum inter-class variance method are used to automatically obtain the green feature binary image, and the morphological processing is used to improve the image quality, determining dynamic regions of interest by constraining pixel thresholds, extraction of corn edge contour using adaptive edge detection algorithm, finally, the feature points are fitted by the Theil-Sen estimation method. Experimental results show: the super-green feature algorithm reflects the green content in the image more realistically, using the adaptive edge detection algorithm to extract corn row features, the accuracy rate is 94%, and the processing time of a single frame image is 104ms. Compared with the Hough algorithm extraction and the vertical projection algorithm, the navigation line extraction accuracy is increased by 15% and 8% respectively, and the time-consuming is reduced by 258ms and 150ms respectively. In addition, the stability of the algorithm is analyzed in different environments, all with good timeliness.
Modification of Polyester Properties through Functionalization with PVA

Due to the growing demand of the textile market, the production of synthetic fibers like polyester (PET), has been increasing compared to any other existing fiber group. However, this type of fiber has its own disadvantages, the main one being its hydrophobic nature. To improve its properties, it was sought to develop a chemical functionalization. This process consisted of three steps, the first one being the cleaning of the polyester with hydrochloric acid, followed by a subsequent hydrolysis of the textile substrate in an alkaline medium in the presence of sodium hydroxide. The last phase, that concerns the textile substrate functionalization with poly (vinyl alcohol), more commonly known as PVA, was made by a process of exhaustion at different pH values (3, 6, and 10), followed by a curing, which allowed the formation of bonds between the PVA and the polyester fibers and consequently improve polyester properties, namely the hydrophilicity, presenting a contact angle of 0º. This process of functionalization of the polyester with PVA at acidic pH, led to very promising results since a significant improvement of its properties was obtained. The functionalized and original polyester samples were further characterized through the application of several techniques, such as SEM, FTIR-ATR and differential scanning calorimetry DSC. These characterization techniques allowed to prove that the textile substrates were effectively modified. It can be concluded that, properties such as, contact angle, tensile strength, air permeability, coefficient of friction and water vapor permeability, were substantially improved by the functionalization of the polyester fabric with PVA.
Failure Mode of GFRP Bar RC Beams Using GFRP Sheet as Shear Reinforcement

The objectives of this study are to analyze the pattern crack and failure mode of the GFRP concrete beam by using GFRP sheet as shear reinforcement (GFB) compared with the two types of the conventional reinforced concrete beam (CB and GB). One of the conventional reinforced concrete beams is reinforced with the steel bar (CB) and the other is the GFRP bar (GB) as longitudinal reinforcement. The nine beams were cast from one concrete batch with dimensions of 150 mm width, 250 mm depth and 3300 mm length. This study focuses on a simply-supported beam using a roller and pinned supports at the end of the beam. Control beam (CB) that using steel reinforcement shows three phases of deformation based on the deflection load curve, ie before crack, after crack, and after yield, while GB and GFB beams that use GFRP bar reinforcement only show two phases of linear deformation namely the deformation phase before cracking and after cracking. From the crack pattern, CB beams experience the flexural cracks which starting from the mid-span on the tensile side of the constant moment region and propagated to the compression region along with the increase in load. All GB beams show the crack starts from the mid-span and then propagates towards the support. Whereas GFB beam show the flexural cracks that occur in the constant moment region and in the shear span, also diagonal cracks that divide the GFRP sheet occurred. From the failure mode, CB experienced flexural failure, while GB experienced compression failure and shear failure in all GFB beams.
Full-space spin-decoupled versatile wavefront manipulations using non-interleaved metasurface

Abstract Achieving multifunctional wavefront manipulations of waves with a flat and thin plate is pivotal for high-capacity communications, which however is also challenging. A multi-layer metasurface with suppressed mode crosstalk provides an efficient recipe primarily for circular polarization, but all multiple functionalities still are confined to locked spin states and modes. Here, a multifunctional metasurface with spin-decoupled full-space wavefront control is reported by multiplexing both linear momentum and frequency degree of freedom. We employed vertically cascaded quadrangular patches and crossbars to integrate both geometric and dynamic phases and realized four channels between two spin states and two frequencies in distinct scattering modes (transmission and reflection). For verification, a proof-of-concept metadevice with four-port wavefront manipulations is experimentally demonstrated, exhibiting distinct functionalities including spin- and frequency-dependent focusing, quad-beam radiation, anomalous reflections, and Bessel beam generation. Our finding of full-space spin-decoupled metasurfaces would be important for high-capacity communications, multifunctional radar detections, and other applications.
Words that Matter: Donald Trump’s Twitter Communication in the Pre-COVID-19 Period

Abstract The goal of this study was to test the result presented by Stolee and Caton (2018) that former President of the United States Donald Trump primarily addressed his devoted electorate via Twitter. In the empirical setup, we referred to the theoretical concepts of a politician’s base and of an ‘echo chamber’ and the theories of populist leaders’ communication. The regression techniques were applied to determine the relationship between the popularity, measured as the number of “favorites” and “retweets”, and the frequency of words representing 16 topics. The topics connected to Trump’s self-praise, critique of opponents, the issue of immigration, and dealings with rival countries increased the popularity of the tweets. Surprisingly, tweets including the topics connected to crucial issues for the American public did not attract much interest. These results are in line with the theory of Stolee and Caton and may indicate that followers were not interested in the substantive content of the President’s posts. The results also confirm our hypothesis that while Trump’s message had a populist character, he primarily addressed his devoted electorate, not the wider audience.
Registration of Multi-sensor Images Based on Harris Corner with SIFT Description

Multi-sensor image registration is very difficult because of their different imaging principles.Referring to the registration of infrared and visible images,a registration algorithm is proposed based on the Harris corner with SIFT description.First,the scale spaces were built,and the scale-invariant Harris corners were selected as feature points.Then,by improving SIFT description method of feature points,ring operator was used to describe feature points.Finally,feature points were matched by the two-way nearest neighbor algorithm,and least squares method was employed to find optimal solutions to affine transform equations.Experimental results show that the registration algorithm is accurate,efficient and stable,and has a good registration result.
Statistical Models in Epidemiology

This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. All statistical analysis of data is based on probability models and only by fully understanding the model can one fully understand the analysis. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.
The Moral Reasoning of Ideology: The Mediating Role of Moral Foundations, Moral Absolutism, and Consistency Norm

Abstract Focusing on the ideological and worldview premises of moral reasoning, our study (N = 313) has as a starting point the well-known relationship between morality and distributive justice norms. We examined the serially mediating role of progressiveness on morality, moral absolutism, and consistency norm on the relationship between ideological/worldview perspectives and distributional criteria. Three groups of respondents were formed based on participants’ ideological and worldview perceptions and then serial mediation analysis was conducted. The present findings suggest that morality is predicted by ideology and worldview and predicts attitudes toward the norms of equity and welfare chauvinism, through moral absolutism and interpretations of consistency norm, thus confirming our hypothesis. Moderate Passive Individualists emerged as the group who adopts the most progressive and inclusive attitude towards moral evaluations and practices, while Demobilized Collectivists and Neoliberals maintain a more conservative attitude towards issues that are subjected to moral framing. Our findings shed light on the crucial role of consistency norm, which has not received enough attention until now.
“The Health Caregivers Did Not Care about Me after the Loss”: Maternal Experiences of Perinatal Loss in the Kumasi Metropolitan Area, Ghana

Abstract One of the common undesirable outcomes of pregnancy is perinatal loss. Healthcare systems strive to reduce the incidence of perinatal loss but typically little attention is on the experiences of bereaved mothers following perinatal loss, particularly in low and middle-income countries where such deaths are common. This research explored the lived experiences of mothers with perinatal loss in the Kumasi metropolis, Ghana. A qualitative design was used to explore the experiences of nine (9) bereaved mothers from the Komfo Anokye Teaching Hospital’s postnatal ward and the Mother and Baby Unit. Data were collected through face-to-face interviews using a semi-structured interview guide, audio-recorded, and thematically analyzed. One major finding was that mothers restricted mourning their dead babies based on fear of recurrent perinatal loss and traditional beliefs on delayed return to fertility. Mothers blamed healthcare providers for their loss due to their concerns about care received. Gaps in communication flow from healthcare professionals to bereaved mothers were commonly identified as mothers struggled to make meaning of their loss and coped with cultural restrictions and beliefs. Healthcare professionals must explore mothers’ concerns and “gut-feelings,” and pay attention to their communication needs following perinatal loss.
An efficient approach for automated system to identify the rice crop disease using intensity level based multi-fractal dimension and twin support vector machine

Abstract Rice is a major staple food crop for providing food security in Asian region. Rice crop mainly suffers from diseases like brown spot, leaf blast and hispa. Detecting rice crop disease in natural RGB images is a daunting task due the intricate texture of the region of the interest. The paper gives a novice approach to the detection of rice plant diseases. Here two different feature extraction methods were used one being Gray level co-occurrence matrix (GLCM) and the other is Intensity level based on the multi-fractal dimension (ILMFD) technique. The three different types of classifiers such as Artificial Neural Networks (ANN), Support Vector Machine (SVM) and Twin Support Vector Machine (TWSVM) were used. Initially, the input rice crop images were processed, features extracted and finally the classification was done. The combination of ILMFD and TWSVM significantly improves the classification results as compared to existing models. The ILMFD method and TWSVM gives the highest Kernel accuracy of 100% detection of rice crop diseases (for the sample database used in this work) which validates the efficiency of the above mentioned techniques.