Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparative study on effect of news sentiment on stock price prediction with deep learning architecture

The accelerated progress in artificial intelligence encourages sophisticated deep learning methods in predicting stock prices. In the meantime, easy accessibility of the stock market in the palm of one’s hand has made its behavior more fuzzy, volatile, and complex than ever. The world is looking at an accurate and reliable model that uses text and numerical data which better represents the market’s highly volatile and non-linear behavior in a broader spectrum. A research gap exists in accurately predicting a target stock’s closing price utilizing the combined numerical and text data. This study uses long short-term memory (LSTM) and gated recurrent unit (GRU) to predict the stock price using stock features alone and incorporating financial news data in conjunction with stock features. The comparative study carried out under identical conditions dispassionately evaluates the importance of incorporating financial news in stock price prediction. Our experiment concludes that incorporating financial news data produces better prediction accuracy than using the stock fundamental features alone. The performances of the model architecture are compared using the standard assessment metrics —Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Correlation Coefficient (R). Furthermore, statistical tests are conducted to further verify the models’ robustness and reliability.
Extra-mammary Paget’s disease of the penis

Paget’s disease was first described in 1874 as an eczematoid changes of the nipple associated with underlying breast carcinoma. Extra-mammary Paget’s disease (EMPD) is rare with involvement of the male genitalia described in small case series and management options varying according to location and extent. The diagnosis of EMPD requires a high index of clinical suspicion and close liaison with the multidisciplinary team, particularly histopathology. We present two cases of EMPD affecting the male external genitalia that highlight important learnings in the presentation, diagnosis, and management of EMPD.
IRF7 and UNC93B1 variants in an infant with recurrent herpes simplex virus infection

Neonatal herpes simplex virus (HSV) infection is a devastating disease with substantial morbidity and mortality. The genetic basis of susceptibility to HSV in neonates remains undefined. We evaluated a male infant with neonatal skin/eye/mouth (SEM) HSV-1 disease, who had complete recovery after acyclovir but developed HSV-1 encephalitis at 1 year of age. An immune workup showed an anergic PBMC cytokine response to TLR3 stimulation but no other TLRs. Exome sequencing identified rare missense variants in IFN-regulatory factor 7 (IRF7) and UNC-93 homolog B1 (UNC93B1). PBMC single-cell RNA-Seq done during childhood revealed decreased expression of several innate immune genes and a repressed TLR3 pathway signature at baseline in several immune cell populations, including CD14 monocytes. Functional studies in fibroblasts and human leukemia monocytic THP1 cells showed that both variants individually suppressed TLR3-driven IRF3 transcriptional activity and the type I IFN response in vitro. Furthermore, fibroblasts expressing the IRF7 and UNC93B1 variants had higher intracellular viral titers with blunting of the type I IFN response upon HSV-1 challenge. This study reports an infant with recurrent HSV-1 disease complicated by encephalitis associated with deleterious variants in the IRF7 and UNC93B1 genes. Our results suggest that TLR3 pathway mutations may predispose neonates to recurrent, severe HSV.
A: an efficient near admissible heuristic search algorithm

The algorithm A* (Nilsson, 1979) presents two significant drawbacks. First, in seeking strict optimal solution paths it necessarily has high order of complexity. Second, the algorithm does not explicitly descriminate between the cost of a solution path and the cost of finding the solution path. To confront these problems we propose the algorithm AE, a generalization of A*. Instead of seeking an optimal solution, it seeks one which is within a factor (1+e) of optimum (e > 0). The basic idea is to avoid doing any search at all on most near optimal partial solutions by sticking to a small number of most fruitful paths. Various strategies for searching for near optimal partial solutions are discussed. Experimental results are presented indicating that A e has average complexity of lower order than A* and compares favorably to the related algorithm Af* (Pearl and Kim, 1982).
A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia

Antithrombin resistance is a rare subtype of hereditary thrombophilia caused by prothrombin gene variants, leading to thrombotic disorders. Recently, the Prothrombin Belgrade variant has been reported as a specific variant that leads to antithrombin resistance in two Serbian families with thrombosis. However, due to clinical data scarcity and the inapplicability of traditional genome-wide association studies (GWAS), a broader perspective on molecular and phenotypic mechanisms associated with the Prothrombin Belgrade variant is yet to be uncovered. Here, we propose an integrative framework to address the lack of genomic samples and support the genomic signal from the full genome sequences of five heterozygous subjects by integrating it with subjects’ phenotypes and the genes’ molecular interactions. Our goal is to identify candidate thrombophilia-related genes for which our subjects possess germline variants by focusing on the resulting gene clusters of our integrative framework. We applied a Non-negative Matrix Tri-Factorization-based method to simultaneously integrate different data sources, taking into account the observed phenotypes. In other words, our data-integration framework reveals gene clusters involved with this rare disease by fusing different datasets. Our results are in concordance with the current literature about antithrombin resistance. We also found candidate disease-related genes that need to be further investigated. CD320, RTEL1, UCP2, APOA5 and PROZ participate in healthy-specific or disease-specific subnetworks involving thrombophilia-annotated genes and are related to general thrombophilia mechanisms according to the literature. Moreover, the ADRA2A and TBXA2R subnetworks analysis suggested that their variants may have a protective effect due to their connection with decreased platelet activation. The results show that our method can give insights into antithrombin resistance even if a small amount of genetic data is available. Our framework is also customizable, meaning that it applies to any other rare disease.
Prevalence, spatial distribution and determinants of infant mortality in Ethiopia: Findings from the 2019 Ethiopian Demographic and Health Survey

Introduction Infant mortality declined globally in the last three decades. However, it is still a major public health concern in Ethiopia. The burden of infant mortality varies geographically with the highest rate in Sub-Saharan Africa. Although different kinds of literature are available regarding infant mortality in Ethiopia, an up to date information is needed to design strategies against the problem. Thus, this study aimed to determine the prevalence, show the spatial variations and identify determinants of infant mortality in Ethiopia. Methods The prevalence, spatial distribution, and predictors of infant mortality among 5,687 weighted live births were investigated using secondary data from the Ethiopian Demographic and Health Survey 2019. Spatial autocorrelation analysis was used to determine the spatial dependency of infant mortality. The spatial clustering of infant mortality was studied using hotspot analyses. In an unsampled area, ordinary interpolation was employed to forecast infant mortality. A mixed multilevel logistic regression model was used to find determinants of infant mortality. Variables with a p-value less than 0.05 were judged statistically significant and adjusted odds ratios with 95 percent confidence intervals were calculated. Result The prevalence of infant mortality in Ethiopia was 44.5 infant deaths per 1000 live births with significant spatial variations across the country. The highest rate of infant mortality was observed in Eastern, Northwestern, and Southwestern parts of Ethiopia. Maternal age between 15&19 (adjusted odds ratio (AOR) = 2.51, 95% Confidence Interval (CI): 1.37, 4.61) and 45&49(AOR = 5.72, 95% CI: 2.81, 11.67), having no antenatal care follow-up (AOR = 1.71, 95% CI: 1.05, 2.79) and Somali region (AOR = 2.78, 95% CI: 1.05, 7.36) were significantly associated with infant mortality in Ethiopia. Conclusion In Ethiopia, infant mortality was higher than the worldwide objective with significant spatial variations. As a result, policy measures and strategies aimed at lowering infant mortality should be devised and strengthened in clustered areas of the country. Special attention should be also given to infants born to mothers in the age groups of 15–19 and 45–49, infants of mothers with no antenatal care checkups, and infants born to mothers living in the Somali region.
How to facilitate concurrent lower lobectomy after coronary artery bypass grafting via median sternotomy without adding anterolateral thoracotomy?

Median sternotomy is an unfavourable approach for performing lung resection and mediastinal lymphadenectomy. Some studies have speculated that concurrent pulmonary resections other than upper lobectomy, necessitate anterolateral thoracotomy in addition to sternotomy. In this study, we aimed to discuss the feasibility and advantages of concomitant video‐thoracoscopy (VATS) assisted lower lobectomy after coronary artery bypass grafting (CABG).
Chronotype and sensory-processing sensitivity: A cross-sectional survey

ABSTRACT Here we examined the possibility of a relationship of sensory processing sensitivity (SPS) with chronotype in a German-speaking sample of N = 1807 (1008 female, 799 male) with a mean age of 47.75 ± 14.41 y (range: 18–97 y). The data were collected using an anonymous online questionnaire (Chronotype: one item of the Morning-Evening-Questionnaire, as well as typical bedtimes on weekdays and weekends; SPS: German version of the three-factor model ; Big Five: NEO-FFI-30) between 21 and 27 April 2021. Results. We found morningness to correlate with the SPS facet low sensory threshold (LST), while eveningness correlated to aesthetic sensitivity (AES) and marginally significant to ease of excitation (EOE). Discussion: The results show that the correlations between chronotype and the Big Five personality traits are not consistent with the direction of the correlations between chronotype and the SPS facets. The reason for this could be different genes that are responsible for the individual traits influence each other differently depending on their expression.
Quantitative assessment of cognitive profile and brain asymmetry in the characterization of autism spectrum in children: A task-based EEG study

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by learning, attention, social, communication, and behavioral impairments. Each person with Autism has a different severity and level of brain functioning, ranging from high functioning (HF) to low functioning (LF), depending on their intellectual/developmental abilities. Identifying the level of functionality remains crucial in understanding the cognitive abilities of Autistic children. Assessment of EEG signals acquired during specific cognitive tasks is more appropriate in identifying brain functional and cognitive load variations. The spectral power of EEG sub-band frequency and parameters related to brain asymmetry has the potential to be employed as indices to characterize brain functioning. Thus, the objective of this work is to analyze the cognitive task-based electrophysiological variations in autistic and control groups, using EEG acquired during two well-defined protocols. Theta to Alpha ratio (TAR) and Theta to Beta ratio (TBR) of absolute powers of the respective sub-band frequencies have been estimated to quantify the cognitive load. The variations in interhemispheric cortical power measured by EEG were studied using the brain asymmetry index. For the arithmetic task, the TBR of the LF group was found to be considerably higher than the HF group. The findings reveal that the spectral powers of EEG sub-bands can be a key indicator in the assessment of high and low-functioning ASD to facilitate appropriate training strategies. Instead of depending solely on behavioral tests to diagnose autism, it could be a beneficial approach to use task-based EEG characteristics to differentiate between the LF and HF groups.
The role of platelet-rich plasma in shoulder pathologies: a critical review of the literature

Platelet-rich plasma (PRP) is a revolutionary treatment that harnesses the regenerative power of the body's own platelets to promote healing and tissue regeneration. While PRP therapy has emerged as a promising option for augmenting biologic healing in the shoulder, the complexity of shoulder disorders makes it difficult to draw definitive conclusions about the efficacy of PRP across different conditions and stages of disease. Our comprehensive review of twenty-four studies highlights the current state of PRP therapy in shoulder pathologies, revealing a wide variety of number of patients, control groups and results. Despite these challenges, the regenerative potential of PRP therapy is moderate in some conditions, with numerous studies demonstrating the positive effects. In conclusion, the authors of this study recommend the use of PRP therapy for adhesive capsulitis and rotator cuff repair of medium to large tears. However, they do not recommend the use of PRP for subacromial impingement or rotator cuff tears. It is up to the clinician's discretion to decide whether PRP therapy is appropriate for individual cases. However, there is still insufficient evidence to support the inclusion of PRP therapy in treatment protocols for other shoulder disorders. Therefore, further research is needed to fully explore the potential of PRP therapy in the treatment of various shoulder conditions.
Association between gut permeability, brain volume, and cognition in healthy participants and patients with schizophrenia spectrum disorder

The barrier function of the gut is important for many organs and systems, including the brain. If gut permeability increases, bacterial fragments may enter the circulation, giving rise to increased systemic inflammation. Increases in bacterial translocation are reflected in higher values of blood markers, including lipopolysaccharide binding protein (LBP) and soluble cluster of differentiation 14 (sCD14). Some pioneer studies showed a negative association between bacterial translocation markers and brain volumes, but this association remains scarcely investigated. We investigate the effect of bacterial translocation on brain volumes and cognition in both healthy controls and patients with a schizophrenia spectrum disorder (SSD).
Results of aortic valve replacement for aortic stenosis and moderate functional mitral regurgitation.

BACKGROUND Referral and admission echocardiography (ECHO) in patients scheduled for aortic valve replacement (AVR) with aortic stenosis (AS) may differ in the assessment of moderate functional mitral regurgitation (FMR). AIMS Our study was to determine the truly moderate-FMR and evaluate its impact on survival. METHODS We conducted an observational study of patients referred for AVR with AS and up to moderate FMR, between 2014 and 2019. Patients were divided into three groups: (1) no/mild (N-FMR); (2) moderate-FMR on one ECHO (either at referral or admission) termed incidental (I-FMR); (3) moderate FMR in two studies (both at referral and admission) termed permanent (PM-FMR). RESULTS The referral and admission assessment were performed median 35 days apart. Of the 679 elective patients who underwent elective isolated AVR, 516 patients had N-FMR, 102 patients had I-FMR, and 61 patients had PM-FMR. Median follow-up was 46 months (22.5-58.5); max 73.3. 30-day mortality was 2.5% vs. 1% vs. 8.2% (N-FMR vs. I-FMR vs. PM-FMR, respectively; P = 0.01). Five-year survival was 84.1% in N-FMR vs. 88.5% in I-FMR vs. 60.6% in PM-FMR group, where was the lowest (P <0.001). In multivariable modeling PM-FMR increased mortality (hazard ratio [HR], 1.88 [1.05-3.37]; P = 0.03). The I-FMR had no effect on mortality (HR, 0.67 [0.32-1.37]; P = 0.28). Five-year survival after excluding 30-day mortality was 86.3% vs. 89.4% vs. 66.0%; (N-FMR vs. I-FMR vs. PM-FMR, respectively; P = 0.02). The PM-FMR increased late mortality (HR, 2.17 [1.14-4.15]; P = 0.01). CONCLUSIONS In patients undergoing isolated AVR for AS, the presence of permanent moderate FMR significantly impacts 30-day and mid-term survival.
Antiparallel dimer structure of CELSR cadherin in solution revealed by high-speed-atomic force microscopy

Significance Cadherin EGF LAG seven-pass G-type receptors (CELSR) cadherins, members of the cadherin superfamily defined by cadherin extracellular domains (ectodomains), and adhesion G-protein-coupled receptors, are necessary for cell–cell adhesion regarding polarity-dependent tissue formation. However, the structure and binding mechanism of CELSR cadherins are unknown. In this study, a combined analysis of single-molecule fluorescence microscopy, high-speed atomic force microscopy (HS-AFM), and bead aggregation assay showed that the trans-dimer of CELSR cadherin is a minimal adhesive unit between cells. Eight membrane-distal cadherin ectodomains of CELSR cadherin entirely overlapped by twisting to form antiparallel dimer conformations and four membrane-distal cadherin ectodomains are sufficient for trans-binding. This study provides insights into the structure and binding mechanism of CELSR cadherins and their functional implications.
Estimating the benefits of stream water quality improvements in urbanizing watersheds: An ecological production function approach

Significance Streams are under significant ecological stress in rapidly urbanizing watersheds around the world. However, estimates of the combined use and nonuse benefits of improving urban stream water quality, which are critical for guiding policy, are generally lacking. To address this gap, we develop an ecological production framework that is tailored to urban stream stressors, conditions, human uses, and preferences in the Piedmont ecoregion of the United States and that allows analysts to translate changes in measurable water quality indicators into monetary benefit estimates. An application of the framework to illustrative policy scenarios in an urban county of North Carolina indicates that these benefits can be substantial, and it provides a template for expanding the methods and findings geographically.
Climate change impacts on the potential worldwide distribution of the soybean pest, Piezodorus guildinii (Hemiptera: Pentatomidae)

The redbanded stink bug, Piezodorus guildinii (Westwood, 1837), is a highly destructive soybean pest native to the Neotropical Region. In the past 60 yr, P. guildinii has been observed to expand its distribution in North and South America, causing significant soybean yield losses. In order to predict the future distribution direction of P. guildinii and create an effective pest control strategy, we projected the potential global distribution of P. guildinii using 2 different emission scenarios, Shared Socioeconomic Pathways 126 and 585, and 3 Earth system models, with the maximum entropy niche model (MaxEnt). Then, the predicted distribution areas of P. guildinii were jointly analyzed with the main soybean-producing areas to assess the impact for different soybean region. Our results showed that temperature is the main environmental factor limiting the distribution of P. guildinii. Under present climate conditions, all continents except Antarctica have suitable habitat for P. guildinii. These suitable habitats overlap with approximately 45.11% of the total global cultivated soybean areas. Moreover, P. guildinii was predicted to expand its range in the future, particularly into higher latitudes in the Northern hemisphere. Countries, in particular the United States, where soybean is widely available, would face a management challenge under global warming. In addition, China and India are also high-risk countries that may be invaded and should take strict quarantine measures.The maps of projected distribution produced in this study may prove useful in the future management of P. guildinii and the containment of its disruptive effects.
CANDIDATE ORDER BASED GENETIC ALGORITHM (COGA) FOR CONSTRAINED SEQUENCING PROBLEMS

This paper aims to introduce a novel genetic algorithm, candidate order based genetic algorithm (COGA), for solving a wide range of constrained sequencing problems. On the basis of the topological sort scheme, the COGA can maintain the feasibilities of individual solutions without violating the given constraints such as precedence between items. During search procedure, the COGA constructs an individual solution by appending one item at a time, which is chosen among the candidate items that do not make the current solution infeasible. The position listing representation and candidate order based genetic operators enable the COGA to search the optimal solutions effectively, and COGA provides a very convenient way for solving the constrained sequencing problems. For illustration, we apply COGA to solve a well known single machine job sequencing problem and subset sum problem in this paper, and we can see that the promising results have been obtained.
Image coding with wavelet software package using lattice quantization

An application of lattice quantization for encoding the wavelet coefficients of grey scale images is examined. The wavelet expansion is performed using a wavelet software package. We formally show that lattices give rise to optimal or near optimal quantizers for wavelet coefficients. The theoretical considerations are supported by a number of simulation experiments.