Miracle-dz/UniFAR-FTUs huggingface dataset:
An Evaluation of the Effectiveness of a Nurse-Led Telephone Program for Patients with Heart Failure on Quality of Life, Anxiety, Depression, and 30 Day Hospital Readmissions

An Evaluation of the Effectiveness of a Nurse-Led Telephone Program for Patients with Heart Failure on Quality of Life, Anxiety, Depression, and 30 Day Hospital Readmissions Brooke Leaberry Introduction: The prevalence of heart failure (HF) has continued to increase around the globe in the past 30 years. Despite advanced technology and rigorous management protocols, patients diagnosed with HF continue to suffer heart failure symptoms. These debilitating symptoms frequently lead to anxiety, depression, decreased quality of life, and frequent hospitalizations. The aim of this study was to examine the impact of an outpatient phone intervention on 30-day hospital readmissions, anxiety, depression, and quality of life in heart failure patients. Methods: This study used a prospective, longitudinal design to evaluate the effectiveness of a phone intervention for patients discharged with a diagnosis of heart failure. All patients were enrolled at the time of hospital discharge to an outpatient phone monitoring intervention. They received weekly phone calls to assess HF symptoms, and medical compliance. The Minnesota Living with Heart Failure Questionnaire (MLHF-Q) and the Hospital Anxiety and Depression Scale (HADS) were completed at baseline and again after the four week intervention. Data was analyzed using a paired t test. Thirty-day heart failure readmission rates were compared to hospital readmission rates for heart failure patients prior to the intervention. Results: A total of 33 participants were enrolled in the intervention. The sample (N=33) included females (66.7%) who were predominantly white (96.9%) with a mean age of 75.65 + 12.36 years. Heart failure type was mainly systolic (51.5%) with 39.3% documented as diastolic heart failure. A total of 31 (94%) individuals completed the four week phone intervention. The baseline mean MLHF-Q score was 49. The post intervention mean MLHF-Q score was 14.65 (95% CI 27.965-40.744,p<0.000). The baseline mean HADS score was 4.26. The post intervention HADS score was 3.00 (95% CI .274-2.242, p=0.014). Preprogram facility readmission rate for the primary diagnosis of heart failure was 22.3%. The admission rate for the intervention group was 12%. Discussion/Conclusion: The results of this study demonstrate the effectiveness of a nurse-led telephone program on quality of life, anxiety, and 30 day readmissions. Further research is needed to establish the efficacy of a telephone intervention on depression, long-term effectiveness, and to identify the usefulness of this type of program for each heart failure functional class.
SELECTION OF OPTIMAL RHIZOBIA STRAIN FOR CROTALARIA LONGIROSTRATA

Chipilin (Crotalaria longirostrata) is a leguminous food crop native to Mexico and El Salvador. There is incentive to produce Chipilin for ethnic markets in the northeast; however, attempts to grow this plant in New England have not been profitable because Chilipin’s optimal Rhizobium symbiont is unknown. Five Rhizobia strains were evaluated for their ability to form root nodules. Plant yield and minimum nitrogen fertilizer requirements were also measured across strains and three strains were identified to permit healthy chipilin growth in minimal Nitrogen fertilizer (5ppm). Nitrogenase activity was confirmed and quantified by a Ureide assay.
The Ab Initio Study of Electronic and Optical Properties of CH3NH3ZnI3 Perovskite Solar-Cell Material

Zinc oxide (ZnO) is a direct wide-bandgap semiconductor with high exciton binding energy of ~60meV. In search for lead free perovskite material, considering the application of ZnO in solar cell, we studied the electrical and optical property of a new Zn based perovskite materials namely methyl ammonium zinc triiodide (CH3NH3ZnI3). We also compared the results with more popular methyl ammonium lead triiodide (CH3NH3PbI3) used in perovskite solar cells. The band gap and x-ray diffraction data were also analyzed and compared. It was observed that the CH3NH3ZnI3 absorbs electromagnetic radiation in far UV region. From the X-ray diffraction pattern, it was clear that CH3NH3ZnI3 retains the original cuboctahedral crystal structures as CH3NH3PbI3.
A CONVOLUTION TYPE INEQUALITY FOR PSEUDO-INTEGRALS

Pseudo-analysis uses for the generalization of the classical analysis, where instead of the field of the numbers a semiring is defined on a real interval [a, b] ⊂ [−∞,∞] with pseudo-addition ⊕ and with pseudo-multiplication . Thus it would be an interesting topic to generalize an inequality from the from work of the classical analysis as special cases. In this paper we prove generalizations of the Bushell-Okrasinski’s type inequality for pseudo-integrals. 2010 Mathematics Subject Classification: 03E72, 28E10, 26E50.
Machine-Aided Rapid Visual Evaluation of Non-structural Components of Building Façades

After a disaster, engineers must evaluate the potential risk posed by damaged components on building façades (e.g. falling debris) before allowing re-occupancy. Currently, human engineers must physically visit each and every building to conduct manual inspection, which is extremely time-consuming and expensive. Harnessing the capacity to use vision sensors and associated sensing platforms (e.g. unmanned aerial vehicles (UAVs)) would improve the current visual inspection procedure in the case of real-world buildings. In this study, we develop a technique to perform rapid and accurate visual inspection of building façades using images collected by UAVs. An orthophoto corresponding to the building façade is automatically constructed from those images using the structure-from-motion algorithm, followed by image stitching and blending. This orthophoto provides an overview of the building façades, which is useful for shifting through the façades for the purpose of damage detection and documentation.
Orchestration and Reconfiguration Control Architecture

—The control mechanisms that are provided today in wireless technologies are not adequate to deal with extreme (ultra‐low latency, ultra‐high throughput, ultra‐high reliability) and diverging (low AND high data rate, time‐critical AND non-time critical) communication needs. Interesting evolutions are happening at different levels that enable the creation of parallel network slices, each slice forming a different network sharing the underlying wireless infrastructure and spectrum. The overall ORCA vision is to drive end-to-end wireless network innovation by bridging real-time Software-Defined Radio and Software-Defined Networking, exploiting maximum flexibility at radio level, medium access level and network level, to meet very diverse application requirements.
First Record of Circa 970 Ma Post-Collisional A-Type Magmatism in the Sendra Granitoid Suite, Central Aravalli Orogen, Northwest India

This study provides the first record for the emplacement of post-collisional A-type granites in extensional regime during the late Grenvillian period in northwest India. The ca. 970 Ma granites of the Sendra Granitoid Suite (Chang pluton) intrude calc-silicate rocks of the South Delhi Supergroup in the central Aravalli orogen. The Chang pluton is composed of granite sensu stricto ; the granites are metaluminous, ferroan, calc-alkalic, and are characterized by high Ga/Al (>2.5), Nb + Y (>60 ppm), Ta + Yb (>6 ppm), REE, HFSE and zircon saturation temperatures, typical of A-type granites. The Y/Nb >1.2 further classified the rocks as A2-subtype, signifying their derivation from crustal sources in a post-collisional setting. The crustal source is also supported by their high LILE (Rb, K and Ba), and Pb, Th and REE. The geochronological data and tectonics of the region indicate that the granites were emplaced about 30 Myr after the Grenvillian collisional orogeny. This scenario likely resulted due to delamination of the lower part of the thickened orogenic lithosphere. These results are expected to have significant implications for the assembly tectonics of the Rodinia supercontinent.
Debt Rule Design in Theory and Practice: The SGP's Debt Benchmark Revisited

This paper is linked to two debates on fiscal policies: first, the implications of low interest-growth differentials for debt sustainability and, second, the reform of the EU fiscal governance framework. In both debates the choice of government debt anchor and the speed of adjustment take centre stage. The Stability and Growth Pact's debt rule appears predestined to fulfil the role of debt anchor. However, our analysis shows that its existing design gives rise to a pro-cyclical bias that has hampered its implementation in the low-growth low-inflation environment. We propose two parametric changes to better balance the objectives of macroeconomic stabilisation and debt sustainability: first, accounting for persistent deviations of inflation from the central bank's objective; and, second, a reduced speed of adjustment. Putting a reformed debt rule at the centre of the EU fiscal governance framework would allow reducing the latter's complexity without the need to revise the EU Treaties. JEL Classification: E62, F42, H61, H62, H63, H87
Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database

The accurate prediction of solubility of drugs is still problematic. It was thought for a long time that shortfalls had been due the lack of high-quality solubility data from the chemical space of drugs. This study considers the quality of solubility data, particularly of ionizable drugs. A database is described, comprising 6355 entries of intrinsic solubility for 3014 different molecules, drawing on 1325 citations. In an earlier publication, many factors affecting the quality of the measurement had been discussed, and suggestions were offered to improve ways of extracting more reliable information from legacy data. Many of the suggestions have been implemented in this study. By correcting solubility for ionization (i.e., deriving intrinsic solubility, S0) and by normalizing temperature (by transforming measurements performed in the range 10-50 °C to 25 °C), it can now be estimated that the average interlaboratory reproducibility is 0.17 log unit. Empirical methods to predict solubility at best have hovered around the root mean square error (RMSE) of 0.6 log unit. Three prediction methods are compared here: (a) Yalkowsky’s general solubility equation (GSE), (b) Abraham solvation equation (ABSOLV), and (c) Random Forest regression (RFR) statistical machine learning. The latter two methods were trained using the new database. The RFR method outperforms the other two models, as anticipated. However, the ability to predict the solubility of drugs to the level of the quality of data is still out of reach. The data quality is not the limiting factor in prediction. The statistical machine learning methodologies are probably up to the task. Possibly what’s missing are solubility data from a few sparsely-covered chemical space of drugs (particularly of research compounds). Also, new descriptors which can better differentiate the factors affecting solubility between molecules could be critical for narrowing the gap between the accuracy of the prediction models and that of the experimental data.
A CBR-ANN hybrid for dynamic environments

This paper proposes a Case-based Reasoning (CBR) and Ar-tiﬁcial Neural Network (ANN) hybrid solution for dynamic problems. In this solution, a CBR system chooses between several expert neural networks for a given case/problem. These neural networks are Recurrent Neural Networks, which are trained using Deep Q-Learning (DQN). The system was tested on the game Mega Man 2 for the NES, and is compared to how a single recurrent neural network performed. The results collected outperforms the basic ANN that it was compared against, and provides a good base for future research on the model.
Some Observation Structure of Mite (Uropods Sp., Muller, 1776) Affects the Red Palm Weevil Beetles (Rhynchopolipus Ferruginus, Oliv) (Coleoptera: Curculionidae) by Scanning Electron Microscopy

During 2011-2013, the results of a new study showed that Trichouropoda Sp. (Fam.:Uropdidae)Adult and deutonymphal stages was recorded in Kingdom of Saudi Arabia associated the red palm weevil, Rhynchophorusferruginous (Oliver) (Coleoptera: Curculionidae) From was observed under its elytra. Heavily infested were collected from palm farms in Eastern province (Al-Hasa and Dammam). And thestrain of bacteria was isolated from mites; Light and scanning electron microscopy were used to description some morphological structures of this recorded mite.
VASCULAR AND NON-VASCULAR BASED RETINAL FEATURES EXTRACTION: A REVIEW

: A biometric method is a pattern recognition system which depends up on the physiological and behavioral traits. From the last few years, biometric system has many applications like fingerprint, face, hand, palm print, retina and iris etc. Along with all these biometric systems, Retina recognition proves to be the most promising biometric system. Retinal recognition performs person identification based on two different approaches i.e. Vascular based and Non-vascular based retinal recognition. Vascular based method works on three different phases, which includes Pre-processing, Segmentation and Matching. Firstly, this method requires vascular pattern to extract region based features from retinal images. Then it segment out true vessels by removing the effects of false vessels. In matching phase input retinal picture matches with the feature vector of query image which is stored in database record. It improves the effectiveness of retinal recognition rate. Secondly, in non-vascular based approach, structural features are extracted from color retinal image which generates the similarity score by comparing two images at one single time which depends upon their structural features i.e. luminance, contrast and structure. Highest score value provides matching decision and also, it reduces time complexity.
Prevalence and capsular type distribution of group B Streptococcus isolated from vagina of pregnant women in Nghe An province, Vietnam

Background and Objectives: Identification of GBS serotypes provides helpful information for appropriate the development of suitable vaccines; however, no reports from Vietnam have been published. This study has been performed to find the prevalence and serotypes of group B Streptococcus isolated from vagina of pregnant women in Nghe An province, Vietnam. Materials and Methods: Vaginal swabs were collected from pregnant women at 35–37 weeks of gestation at the Nghe An Obstetrics and Pediatrics Hospital, Vietnam between May 2018 and July 2019. The swabs were cultured on 5% sheep blood agar for isolation of GBS. All isolates were identified using the Gram staining, CAMP test and specific PCR. GBS strains were serotyped using the multiplex PCR assays. Results: The prevalence of vaginal GBS colonization was 9.20% of 750 participants. Among the isolates, serotypes III (39.13%) and V (31.89%) were the most frequent, followed by serotypes Ia (11.59%), VI (11.59%), Ib (2.90%), II (1.45%) and VII (1.45%), respectively. Serotypes IV, VIII and IX were not found. Conclusion: The prevalence of GBS in the Nghe An province of central Vietnam was similar to reports from other parts of the world. The predominat GBS serotypes (III, V, Ia and VI) were slightly different from those previously described from other regions around the world. The high frequency of serotype VI was a notable feature of the strains from pregnant women in Vietnam.
Improving Emotion Perception and Emotion Regulation through a Web-Based Emotional Intelligence Training (WEIT) Program for Future Leaders.

We evaluated a Web-Based Emotional Intelligence Training (WEIT) program that was based on the four-branch model of emotional intelligence (EI) and which aimed at improving emotion perception (EP) and emotion regulation (ER) in future leaders. Using a controlled experimental design, we evaluated the short-term (directly after the WEIT program) and long-term (6 weeks later) effects in a sample of 134 (59 training group [TG], 75 wait list control group [CG]) business students, and additionally tested whether WEIT helped to reduce perceived stress. For EP, WEIT led to a significant increase in the TG directly after training (whereas the wait list CG showed no change). Changes remained stable after 6 weeks in the TG, but there were no significant differences between the TG and CG at follow-up. By contrast, ER did not show an increase directly after WEIT, but 6 weeks later, the TG had larger improvements than the CG. The results mostly confirmed that emotional abilities can be increased through web-based training. Participants’ perceived stress did not decrease after the training program. Further refinement and validation of WEIT is needed.
SEPARATION OF MONOPHONIC MUSIC SIGNAL BASED ON USER-GUIDED ONSET INFORMATION

In this paper, we present a novel informed source separation (ISS) algorithm from mono-phonic sound mixtures based on user-guided onset information. Conventional user-guided ISS methods have studied various cases to provide target sound information. We consider the case where the information is given via a user-guided audio signal. Conventional algorithm requires both spectral and temporal information of the target source to be separated, often provided by means of singing/humming. However, it might be difficult for an unskilled user to provide exact pitch information of the target source, which can result in severe performance degradation of the spectrogram decomposition algorithms. On the other hand, it is relatively easier for novice users to give onset information by finger-or foot-tapping, for example. In this paper, we propose a novel informed source separation algorithm where only temporal information from the user is given by means of note onsets of the target source. To this end, we utilize non-negative matrix factorization (NMF) comprised of two steps. In the first step of NMF, we aim to estimate a spectral basis of the target source with the use of sparsity constraint. In the second step, we estimate the corresponding temporal basis of the target source. Finally, we reconstruct the estimated target sound based on the results of the two-step NMF. Experiments show that the proposed algorithm can successfully separate the target source using just the onset information from the user when there exists no significant overlap in onsets between the target and other sources.
Terminal Discharges and Passive Euthanasia—Two Fundamentally Different Entities That Should Not Be Likened to Each Other

In Singapore, it is not uncommon for Terminal Discharges (TDs) to be carried out from hospitals. Such discharges see terminally ill patients being sent home to die, in accordance to their said wishes.In practice, however, concerns may develop over prognostication, potential compromises in care and routine cessation of treatments that cannot be maintained in the home setting. As a result, if due diligence is not exercised, parallels may be drawn with Passive Euthanasia (PE). In this essay, we will discuss the circumstances in which TDs are undertaken, and touch on familial determinations of care and circumnavigation of direct patient involvement. Using a hypothetical case scenario, we will focus on case-specific assessments and highlight the fundamental flaws in associating euthanasia with TD.We will then see how we can mitigate the risks of carrying out PE by utilising a Multi-Disciplinary Team (MDT) for a context- and patient-specific approach to TDs.
Friends with Threats: Credit Risk Under Common Ownership

This paper empirically shows that the cost of bank debt is lower when firms’ shareholders hold more shares in their industry peers. This effect is stronger for firms with poorer credit conditions, higher opacity, more entrenched CEOs, a stronger tendency to overinvest, and when lenders have less industry expertise. Such common owners appear to monitor management more effectively while also reducing information asymmetry. However, payout patterns after covenant violations suggest that creditors face higher shareholder wealth transferring potential as an expense of more effective monitoring over management. Despite this concern, overall results on loan spread and additional analyses on CDS premium indicate lower credit risk under better governance of common ownership.
Evaluating Features Extraction Techniques: A Comparative Study on Face Recognition

: Biometrics technology is a field of science that investigates individuals’ verification and identification based on individuals’ biological characteristics, such as faces, fingerprints, iris, and soft biometrics. It has been getting the attention of scientists and researchers from various disciplines, due to the possibility of utilizing its features in different aspects such as authentication and forensics. Features extraction is a key successful step in Biometrics technology, and therefore the extraction algorithms used to extract biological characteristics are very important to be used in a proper way. Among the currently available algorithms, Principal Component Analysis, Linear Discriminant Analysis, Scale Invariant Feature Transformation, and Local Binary Patterns are the most well-known. However, they are not the same in terms of performance. This paper focuses on face recognition and investigates the four algorithms’ performance and compares between them based on four performance curves: ROC, PR, DET, and CMC, in three different-size sets.
UTILIZATION OF CRUMB RUBBER AS AGGREGATE IN HIGH CALCIUM FLY ASH GEOPOLYMER MORTARS

This research was carried out to find out the possibility of utilizing tire crumb rubber waste as fine aggregate in fly ash-based geopolymer mortars (GPMs). The effect of replacement of river sand with crumb rubber at the levels of 0, 25, 50, 75, and 100% by volume on the geopolymer mortar properties including workability, dry density, compressive strength, flexural strength, thermal conductivity, ultrasonic pulse velocity (UPV), water absorption, and porosity were studied. The results were compared to those of the Portland cement-based mortars (PCMs). The test results demonstrated that the higher crumb rubber content resulted in the less dense matrix of mortar. However, GPMs with crumb rubber resulted in a significant improvement in flexural strength. The average ratio of flexural to compressive strengths of GPMs was 25% compared to 15% of PCMs. Also, the lower dry density and thermal conductivity of GPMs indicated better insulating properties than those of PCMs.