Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of telenursing on stress, anxiety and depression 
in patients with myocardial infarction

Introduction: These problems along with myocardial infarction (MI) lead to worse physical and mental con-ditions, poor quality of life, readmission, and premature death. Therefore, the aim of the present study was to investigate the effect of telenursing on stress, anxiety, and depression in MI patients. Material and methods: This quasi-experimental study was performed on 40 MI patients who were selected using simple random sampling and divided into intervention and control groups ( n = 20 per group). Routine training was given to both groups before discharge. Then a demographic information questionnaire and standard Depression, Anxiety and Stress Scale – 21 Items (DASS-21), which had acceptable validity and reliability, were provided to each patient. The intervention group, in addition to routine training, received an average 10-min telephone follow-up intervention once a week for one month. Results: The mean scores of stress, anxiety, and depression before the intervention were 18.80 ±47.4, 13.60 ±3.7, and 8.60 ±2.89 in the control group, and 20.90 ±6.03, 12.00 ±5.06, and 9.70 ±3.06 in the intervention group respectively, which were statistically significant in both groups after the intervention ( p < 0.001). Conclusions: The results showed that nurse-led telephone training and follow-up reduce stress, anxiety and depression in MI patients. It is recommended to take into account this method considering the lack of need for travelling, reduction of additional costs, and timely access to information, and training hygiene tips in health care centers.
Credit Risk Elements for Small and Medium-Sized Enterprises: The Case of Spain

: Purpose: The aim of this paper is, firstly, to identify the elements banks consider when assessing the credit risk of SMEs and, subsequently, to propose actions aimed at helping them to transmit reliable information on their credit quality. Design/methodology/approach: In this study, a dual methodology was used, both of which are qualitative and complementary, at first, in-depth interviews with specialists and, subsequently, the Delphi method. A panel of expert representatives of the Spanish banking system were selected. Then, firstly, personal interviews were carried out. Subsequently, once the information has been collected and analysed, the Delphi method was applied. Findings: Results show that the experts unanimously consider that SMEs need to provide a balance sheet and profit and loss account. In addition, there is a broad consensus in the assessment of the importance of the audit report and corporation tax, while the documents relating to VAT settlement and the declaration of transactions with third parties is also important. Depending on the profile of the experts, it can be seen that, in general, the importance attached to the request for this type of documentation by the group of risk analysts is slightly lower than in the group of branch managers. Practical implications: Therefore, the contribution of this paper to the existing literature consists, on the one hand, of the application of a different approach, from the banks’ perspective, and, on the other hand, of the identification of the type of information that banks consider essential when analysing SMEs’ applications for financing, as well as providing recommendations to SMEs to improve the conditions for access to bank financing. Originality value: The proposed methodology would improve the flow of information between companies and institutions and help to reduce the problem of information opacity, which, can condition access to bank financing.
Validation method of the mathematical model for SARS-Cov-2 pandemic from data mining and statistical analysis

: Nowadays, in 2020, we live during the most dangerous global pandemic that has been reported since the Spanish Flu, which occurred between 1918 and 1920. According to World Health Organization (WHO) records, the pandemic caused by the Sars-Cov-2 virus began in December 2019 and is present in all continents and almost all countries, surpassing more than 79 million infected and 1.7 million deaths by December 2020. Several mathematical models applied to Epidemiology have been adopted over time. One of the most widely adopted is the Susceptible-Infected-Recovered (SIR), developed in India by Kermack and Mckendrick in 1927. In our research, a comprehensive collection of data on the SARS-Cov-2 pandemic was made from reports by WHO, Dadax Limited (Chinese data company), and Johns Hopkins University in the United States of America (USA). Facts were collected from many different countries, regarding the number of confirmed, recovered, and death cases. In this article, we constructed a mathematical model that describes the evolution of the pandemic from the similarity with models already adopted in the field of nuclear physics. For the validation of the mathematical model, we chose information from Germany due to the reliability of the available information. Thus, a statistical analysis was executed to qualify the performance of the method and the predictive character of the mathematical model. To date, 11,716 raw data have been collected, of which we performed data mining relevant to use in this research. to the BJEDIS’ scope: In this written work, we used mathematical modeling to analyze a very large number of data related to the contamination and spread of a highly contagious virus in human populations. We used spreadsheets for mining relevant data and producing new data to recognize and forecasts.
Management of esophageal perforation with fistula formation in an 80 year old woman with multiple co-morbidities

Esophageal perforation due to foreign body ingestion may lead to serious complications. Here we present a case of an 80 year old lady with multiple co-morbidities who presented with a proximal esophageal perforation with fistula formation following ingestion of a fish bone. Due to her age and co-morbidities the decision was made to manage her conservatively by IV antibiotics, NG tube feeds and observation. Follow up after 2 months showed resolution of the perforation and fistula, without the patient needing any surgical intervention. This case highlights conservative management of esophageal perforation with complications in patients with co-morbidities where open surgery is not favoured.
Novel Three-Phase H10 Inverter Topology With Zero or Constant Common-Mode Voltage for Three-Phase Induction Motor Drive Applications

A traditional two-level 3-φ voltage source inverter topology operated with remote state pulsewidth modulation (RSPWM) can achieve constant common-mode voltage (CMV) without using additional passive components. However, apart from the poor harmonic performance, this topology suffers from the drawbacks of reduced dc bus utilization, increased semiconductor requirement, and higher losses. To address these issues, this letter presents a new H10 inverter topology for two-level three-phase inverter applications. The proposed topology can achieve constant CMV or zero CMV without requiring additional passive components. Compared with the RSPWM approach, the proposed H10 topology has 50% higher dc bus utilization, superior harmonic performance, reduced semiconductor requirement, and lower losses. A comparison of the proposed topology with the existing two-level solutions for CMV reduction reveals that the proposed H10 has the lowest total switch voltage rating and phase current total harmonic distortion (THD), considering zero CMV performance. Various experimental results obtained from a laboratory prototype are presented to validate the theoretical claims.
Synthesis and Characterizations of Colloidal Perovskite Nanocrystals for Photovoltaic Application

Recently, all-inorganic perovskite nanomaterials have been studied because of their higher stability than organic-inorganic hybrid perovskite. However, modifying previous method to simpler and finding other all-inorganic perovskite composition are demanded due to its complicate method. Thus, in this work we studied tuning all visible range with cesium lead halide nanocrystals and synthesizing new perovskite composition with different inorganic elements which are not studied before. Nowadays, it is important to develop simple synthesis method to apply luminescence nanoparticle on various application such as light emitting diode and laser. In the first part, we studied halide ion exchange on cesium lead halide perovskite nanocrystals. With halide exchange, we can tune cesium lead brome perovskite which is green emitting nanocrystals to other halide perovskite which emit different color in all visible range with different concentration LiI or LiCl. Halide exchange happens in room temperature within few seconds. Interestingly, reverse reactions also happen when we use LiBr solution. Moreover, Maximum 5 cycles can happen in one sample. Exchanged nanocrystals exhibit very bright luminescence and it has narrow half full with full-with-half-maximum (15-20nm) and their radiative life is 1-16ns. We fabricate photo-detector with cesium lead iodide nanocrystals. It shows high responsibility with
A Shared Decision-making Tool for Drug Interactions Between Warfarin and Nonsteroidal Anti-inflammatory Drugs: Design and Usability Study

Background Exposure to life-threatening drug-drug interactions (DDIs) occurs despite the widespread use of clinical decision support. The DDI between warfarin and nonsteroidal anti-inflammatory drugs is common and potentially life-threatening. Patients can play a substantial role in preventing harm from DDIs; however, the current model for DDI decision-making is clinician centric. Objective This study aims to design and study the usability of DDInteract, a tool to support shared decision-making (SDM) between a patient and provider for the DDI between warfarin and nonsteroidal anti-inflammatory drugs. Methods We used an SDM framework and user-centered design methods to guide the design and usability of DDInteract—an SDM electronic health record app to prevent harm from clinically significant DDIs. The design involved iterative prototypes, qualitative feedback from stakeholders, and a heuristic evaluation. The usability evaluation included patients and clinicians. Patients participated in a simulated SDM discussion using clinical vignettes. Clinicians were asked to complete eight tasks using DDInteract and to assess the tool using a survey adapted from the System Usability Scale. Results The designed DDInteract prototype includes the following features: a patient-specific risk profile, dynamic risk icon array, patient education section, and treatment decision tree. A total of 4 patients and 11 clinicians participated in the usability study. After an SDM session where patients and clinicians review the tool concurrently, patients generally favored pain treatments with less risk of gastrointestinal bleeding. Clinicians successfully completed the tasks with a mean of 144 (SD 74) seconds and rated the usability of DDInteract as 4.32 (SD 0.52) of 5. Conclusions This study expands the use of SDM to DDIs. The next steps are to determine if DDInteract can improve shared decision-making quality and to implement it across health systems using interoperable technology.
Effect of Drying and Chemical Preservative on Storage Life and Qulity of Banana FIG (Musa Paradisiaca L.) cv. Grand Naine

The present investigation entitled "Effect of drying and chemical preservative on storage life and quality of banana fig (Musa paradisiaca L.) cv. Grand Naine" was conducted at the Post Graduate and post harvest technology laboratory of N.M. College of Agriculture , Navsari Agricultural University, Navsari during the month of January to June, 2009. An experiment was conducted with three factors, the first one was two drying methods viz. , D,-hot-air drying and O 2sun drying, second one was two chemical preservatives viz . , P,0.1 % KMS and P20.2% KMS and third one was two storage temperatures viz., S,16°C temperature and S2room temperature treatments in an overall eight total combinations and three repetitions was laid out in CRD with factorial concept. The nutritional value viz . , moisture (per cent), acidity (per cent), pH, TSS (per cent), total sugar (per cent), reducing sugar (per cent), non reducing sugar and organoleptic evaluation was carried out at initial, 3 and 6 months during storage in respect to colour, texture, flavour, taste and overall acceptability. The significantly highest recovery of banana fig was obtained in hot-air drying + 0.1% KMS + room temperature treatment combination. I n hot-air drying method the highest acidity, total sugar, reducing sugar and non reducing sugar (per cent) was obtained, while moisture (per cent) and pH level was at lower level during the storage period. However the non reducing sugar and pH content was found nonsignificant which was decreasing in trend during 6 months of storage. Moreover the moisture, acidity, TSS, total sugar, and reducing sugar content was found ! ncreasing trend during storage period. The treatments of preservative at 0.1 % KMS was significantly superior in respect to highest content of acidity, total sugar and reducing sugar which was increased while moisture , pH, TSS and non-reducing sugar content was remained steady during storage period. In respect to storage condition the banana fig stored in 16°C temperature remained higher content of acidity and TSS (per cent) while the moisture (%) was at lower level which showed quality of fig, moreover pH, total sugar, reducing sugar and non reducing sugar was remained static during the storage period. The combination of hot-air drying + 0.1% KMS + room temperature treatment proved superiority in respect to higher content of acidity, total sugar and reducing sugar while the TSS, pH and non-reducing sugar was remained steady with decreasing level during storage period. Hence looking to the nutritional consideration these treatment recommended while banana fig processing. Considering the sensory evaluation of banana fig in respect to colour, flavour, texture, taste and overall consumers acceptance, the treatment combination of
Smile through the Mask: Emotion Measurement for Stationary Retail

The global pandemic caused by the coronavirus disease (COVID-19) changes the lives of many people all over the world. In the context of stationary retail, a strong change of customer behavior occurs as mandatory safety measures like wearing facemasks and distance regulations have come into place. The sales personnel’s ability to understand and react to customers’ emotions is critical for service interactions and the customers’ overall satisfaction. Unfortunately, facemasks make it difficult to recognize other’s emotions and may lead to misinterpretation and confusion. To address this problem, this paper proposes the design of self-assessment interfaces that offer the customer an easy way to enter their emotions. As part of a Design Science Research (DSR) project, we designed three interfaces and evaluated them over the course of a design cycle. The results indicate that it is possible to use self-assessment technology in stationary retail to measure customer emotions.
Controlled derivatization of hydroxyl groups of graphene oxide in mild conditions

Graphene oxide (GO) is constituted of various oxygen-containing functionalities, primarily epoxides and hydroxyl groups on the basal plane, with a very low amount of carbonyl, quinone, carboxylic acid, phenol, and lactone functions at the edges. The high chemical reactivity of these oxygenated groups makes functionalization difficult to control as different reactions can occur concomitantly. In this study we have investigated the reactivity of GO towards orthogonal reactions to selectively functionalize the hydroxyl groups, which are present in a high amount. We explored both the esterification and the Williamson reaction. Our strategies present the main advantage to occur in mild conditions, thus preserving the intrinsic properties of GO, whereas most reactions reported in literature require relatively harsh conditions, leading to (partial) reduction, and/or are not chemoselective. We have also extended our study to the ketones and examined their derivatization by the Wittig reaction. This work has allowed developing two facile methods for the covalent derivatization of the hydroxyl groups in mild conditions, while GO was not reactive towards the Wittig reaction, probably due to the low amount of ketones. Overall, this work leads to a better understanding of the reactivity of GO for controlled derivatization. This opens promising perspectives for multi-functionalization of GO in order to design graphene-based nanomaterials endowed of multiple properties.
Generating vague geographic information through data mining of passive web data

Vagueness is an inherent property of geographic data. This thesis develops a geocomputational method that demonstrates that vague information has the potential to be incorporated within GIS in straightforward manner. This method applies vagueness to the elements of place: types, names and spatial boundaries, generating vague geographic objects by extracting and filtering the differing opinions and perceptions held within web derived data. The aim of the research is threefold: (1) to investigate an approach to automatically generate vague, probabilistic geographical information concerning place by mining differing perspectives from passive web data; (2) to assure the quality of the vague information produced and test the hypothesis that its results are indistinguishable from directly surveying public opinion; and (3) to demonstrate the value of integrating vague information into geospatial applications via examples of its use. To achieve the first aim, the thesis develops methods to extract differing perspectives of place from web data - constructing (i) vague place type settlement classification and (ii) vague place names and boundaries for ‘neighbourhood’ level units. The methods developed are automated, suitable for generating output at a national scale and use a wide range of different source data to collect the differing opinions. The second aim assesses the quality of the data produced, determining if output extracted from the web was representative of that obtained from asking people directly. Statistical analysis of regression models demonstrates that data were representative of that collected through asking people directly both for vague settlement classifications and vague urban locale boundaries. Importantly, the validation data, drawn from public opinion, also supported the notion that vagueness was omnipresent within geographic information concerning place. The third aim was addressed through the use of case studies in order to demonstrate the added value of such data and subsequent integration of vague geographic objects within other socio-economic data. Critically, the incorporation of vagueness within place models not only add value to geographic data but also improve the accuracy of real-world representations within GIS.
Balance Sheets and Debt Crises – Empirical Regularities for Modern Cases of Sovereign Distress

Public and private sector balance sheets are an important component to any analysis of debt sustainability. A vulnerable and indebted private sector can become a sudden liability for the government; alternatively, resilient household and bank balance sheets may reveal potential sources of funding for the sovereign during times of fiscal distress. In this paper, we document empirical regularities in the behavior of macroeconomic variables during debt crises, and show how both macroeconomic fundamentals and sectoral net worth can affect the likelihood of undergoing default.
Stability analysis of coal face based on coal face-support-roof system in steeply inclined coal seam

Rib spalling is a major issue affecting the safety of steeply inclined coal seam. And the failure coal face and support system can be affected with each other to generate a vicious cycle along with inducing large-scale collapse of surrounding rock in steeply inclined coal seam. In order to analyze failure mechanism and propose the corresponding prominent control measures of steeply inclined coal working face, mechanical model based on coal face-support-roof system and mechanical model of coal face failure was established to reveal the disaster mechanism of rib spalling and the sensitive analysis of related factors was performed. Furthermore, taking 3402 working face of Chen-man-zhuang coal mine as engineering background, numerical model by using FLAC3D was built to illustrate the propagation of displacement and stress fields in steeply inclined coal seam and verify the theory analysis as mentioned in this study. The results show that the coal face slide body in steeply inclined working face can be observed as the failure height of upper layer smaller than that of lower layer exhibiting with an irregular quadrilateral pyramid shape. Moreover, the cracks were originated from the upper layer of sliding body and gradually developed to the lower layer causing the final rib spalling. The influence factors on the stability of coal face can be ranked as overlying strata pressure (P) > mechanical parameters of coal body (e.g., cohesion (c), internal fraction angle (𝛟)) > support strength (F) > the support force of protecting piece (F
Blockchain-enabled wireless communications: a new paradigm towards 6G

Abstract With the deployment of fifth-generation (5G) wireless networks worldwide, research on sixth-generation (6G) wireless communications has commenced. It is expected that 6G networks can accommodate numerous heterogeneous devices and infrastructures with enhanced efficiency and security over diverse, e.g. spectrum, computing and storage, resources. However, this goal is impeded by a number of trust-related issues that are often neglected in network designs. Blockchain, as an innovative and revolutionary technology that has arisen in the recent decade, provides a promising solution. Building on its nature of decentralization, transparency, anonymity, immutability, traceability and resiliency, blockchain can establish cooperative trust among separate network entities and facilitate, e.g. efficient resource sharing, trusted data interaction, secure access control, privacy protection, and tracing, certification and supervision functionalities for wireless networks, thus presenting a new paradigm towards 6G. This paper is dedicated to blockchain-enabled wireless communication technologies. We first provide a brief introduction to the fundamentals of blockchain, and then we conduct a comprehensive investigation of the most recent efforts in incorporating blockchain into wireless communications from several aspects. Importantly, we further propose a unified framework of the blockchain radio access network (B-RAN) as a trustworthy and secure paradigm for 6G networking by utilizing blockchain technologies with enhanced efficiency and security. The critical elements of B-RAN, such as consensus mechanisms, smart contract, trustworthy access, mathematical modeling, cross-network sharing, data tracking and auditing and intelligent networking, are elaborated. We also provide the prototype design of B-RAN along with the latest experimental results.