Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender budgeting in the crossroad of gender policy and public financial management: The Finnish case

IMPACT Finland has been using gender budgets (GB) for over 10 years; however, very little is known internationally about the Finnish GB experience. Finland’s experience provides several lessons for GB practitioners in other countries. It highlights the importance of clear national gender equality goals for effective GB implementation, as well as the need to pay attention to mid-term fiscal frameworks. It also shows how the lack of feminist economic expertise and a clear conceptual framework can reduce GB to technical processes and calculations, and the importance of outside-government actors drawing attention to the gendered impacts of economic policies. ABSTRACT The paper analyses the implementation of gender budgeting (GB) in Finland. It contributes to GB literature through shedding light on the dynamics of politicization and depoliticization in GB implementation, as well as the complex position of GB between gender equality policy and public financial management. The paper provides new insights on what the shift towards mid-term budgetary frameworks means for GB, which to date have been missing from the GB literature. It also addresses the relationship of gender mainstreaming and GB, as well as the role of civil society in re-politicizing GB through drawing attention to the impacts of economic policies.
The perceptions of SME retailers towards the usage of social media marketing amid COVID-19 crisis

Purpose During the COVID-19 crisis, diversified attitudes and behaviors of structural equation modeling (SME) retailers were observed in using social media marketing that could have helped mitigate the adverse effects of this crisis on businesses. This paper aims to present a thorough investigation of these perceptions and limited acceptance of social media marketing among SME retailers in a developing country during a crisis. Design/methodology/approach The investigation was designed using a mixed-method design. A qualitative investigation, as the first part, explored SME retailers’ perceptions of the use of social media marketing when they were faced with mandatory lockdown that stifled their business activity. The insights from qualitative study and literature helped devise the second part of the study, a quantitative study using the technology acceptance model (TAM). Analysis of responses from a sample of SME retailers (n = 149) was done using SEM in this study. Findings In the qualitative study, SME retailers were found to have a varying outlook toward social media marketing. Some ventured into social media marketing while others were impeded by their limited understanding. The second (quantitative) study showed the general applicability of TAM such that perceived ease of use through perceived usefulness influenced SME retailers’ attitudes toward the usage of social media marketing during the COVID-19 crisis. An important finding in both studies was that business owners’ education level influenced their perceptions of social media marketing. Research limitations/implications The investigation, albeit a comprehensive one, was conducted in a particular market and for SME retailers. This opens avenues for conducting similar studies in other segments of entrepreneurs to generate insights based on comparative analysis across segments and scenarios. Originality/value Limited or no marketing in the physical marketplace amid lockdown meant almost an existential crisis for entrepreneurs, especially SME retailers, in developing countries during the COVID-19 crisis. While technology acceptance by SME retailers has been discussed in the literature, there are limited discourses on technology acceptance among entrepreneurs and SME retailers during a crisis. These findings from the COVID-19 crisis explicate the possibilities and limitations of technology usage as a means to mitigate challenges faced by entrepreneurs during a crisis.
Nonresponsive Celiac Disease Treated with a Unique Functional Medical Approach

A 16-year-old boy with nonresponsive celiac disease (NRCD), dermatitis herpetiformis, short stature, and failure to thrive, presented to this Functional Medicine practitioner because he had exceedingly high tissue transglutaminase (tTG) antibodies and poor growth, despite 10 months on a meticulous gluten-free diet (GFD). Immunological testing showed elevated antibody production against multiple peptides of wheat, food antigens, intestinal barrier dysfunction, lipopolysaccharide (LPS) antibodies, and polyreactive autoimmune reactions. An elimination diet, nutraceutical protocols to modulate the microbiome, address intestinal permeability, lower inflammation, and remove underlying bacterial infection were initiated. Global anti-inflammatory lifestyle modifications were recommended. Within 3 months of treatment, the patient’s tTG antibodies decreased by 14% for the first time since strict gluten elimination. Within 15 months, tTG IgG antibodies were nearly normal at 1.61 (0.03-1.60, ELISA Index). Test results improved dramatically in tandem with clinical progress. On a GFD and after initiating and maintaining these dietary and lifestyle changes, he gained 12 inches and 40 pounds. To our knowledge, this is the first published case of complete reversal of NRCD and failure to thrive by addressing endotoxin and lifestyle outside of a GFD.
Parameterization of the collision-coalescence process using series of basis functions: COLNETv1.0.0 model development using a machine learning approach

Abstract. A parameterization for the collision-coalescence process is presented, based on the methodology of basis functions. The whole drop spectra is depicted as a linear combination of two lognormal distribution functions, in which all distribution parameters are formulated by means of six distribution moments included in a system of equations, thus eliminating the need of fixing any parameters. This basis functions parameterization avoids the classification of drops in artificial categories such as cloud water (cloud droplets) or rain water (raindrops). The total moment tendencies are calculated using a machine learning approach, in which one deep neural network was trained for each of the total moment orders involved. The neural networks were trained using randomly generated data following a uniform distribution, over a wide range of parameters employed by the parameterization. An analysis of the predicted total moment errors was performed, aimed to stablish the accuracy of the parameterization at reproducing the integrated distribution moments representative of physical variables. The applied machine learning approach shows a good accuracy level when compared to the output of an explicit collision-coalescence model.
Forecasting Occurrence and Intensity of Geomagnetic Activity With Pattern‐Matching Approaches

Variability in near‐Earth solar wind conditions gives rise to space weather, which can have adverse effects on space‐ and ground‐based technologies. Enhanced and sustained solar wind coupling with the Earth's magnetosphere can lead to a geomagnetic storm. The resulting effects can interfere with power transmission grids, potentially affecting today's technology‐centered society to great cost. It is therefore important to forecast the intensity and duration of geomagnetic storms to improve decision making capabilities of infrastructure operators. The 150 years aaH geomagnetic index gives a substantial history of observations from which empirical predictive schemes can be built. Here we investigate the forecasting of geomagnetic activity with two pattern‐matching forecast techniques, using the long aaH record. The techniques we investigate are an Analogue Ensemble (AnEn) Forecast, and a Support Vector Machine (SVM). AnEn produces a probabilistic forecast by explicitly identifying analogs for recent conditions in the historical data. The SVM produces a deterministic forecast through dependencies identified by an interpretable machine learning approach. As a third comparative forecast, we use the 27 days recurrence model, based on the synodic solar rotation period. The methods are analyzed using several forecast metrics and compared. All forecasts outperform climatology on the considered metrics and AnEn and SVM outperform 27 days recurrence. A Cost/Loss analysis reveals the potential economic value is maximized using the AnEn, but the SVM is shown as superior by the true skill score. It is likely that the best method for a user will depend on their need for probabilistic information and tolerance of false alarms.
The Financial Position of Youth Employee: Pinning-up of Financial Capability and Income

The aim of the study on the financial behavior of youth employees is to review the impact of financial capability, income on financial behavior in evaluating the financial position. The main target of this study is mediating the evaluation of financial behavior in the effort of increasing the financial position of youth employees. A research method conducts with a survey of 100 youth employees in Indonesia, particularly in Central Jakarta, that has more youth employees. Data from youth employees obtain through questionnaires and data is processed by SmartPLS; remember that analysis technique is using the path analysis model. Research results found that financial capability and income have a truly significant impact on financial behavior; likewise, it is directly to financial position. However, it known that financial behavior cannot directly influence to financial position. Research novelty explains that financial behavior cannot be mediation between financial capability and income to financial position. This finding is useful for youth employees in understanding the financial position and for the government in comprehending the financial behavior of youth employees. So, it expects to be able to give the policy of financial management for youth employees.
Karar Verme Stili ve Risk Alma Eğilimi: X ve Y Kuşakları Açısından Bir Değerlendirme

Karar verme ve risk alma davranislari bireylerin ozel ve calisma hayatlarinda onemli etkiye sahiptir. Bireylerin karar verme ve risk alma davranislari arasinda farkliliklar gorulebilmektedir. Ote yandan birey, dogumundan itibaren, kendisiyle benzer yillarda dogan diger kisilerin olusturdugu kusak adi verilen grubun bir parcasi olur. Kusaklar arasinda cesitli ozellikler acisindan farkliliklar gorulmektedir. Karar verme ve risk alma davranisi acisindan da kusaklar arasinda farkliliklar olabilecegi yazinda yer almaktadir. Bu baglamda, bu arastirmayla X ve Y kusagina dâhil olan bireylerin karar verme ve risk alma davranislarina isik tutacak bilgi uretilmesi amaclanmistir. Arastirmanin orneklemini Akdeniz Universitesi ogretim elemanlari ve ogrencileri olusturmustur. X kusagindan 167, Y kusagindan 204 kisi arastirmaya katilmistir. Katilimcilardan online soru formu yoluyla veri toplanmistir. Analiz sonuclari, X ve Y kusaklari arasinda rasyonel ve anlik (spontane) karar verme stilleri ile risk alma egilimi acisindan anlamli farkliliklar oldugunu gostermektedir.
Aluminum scandium nitride-based metal–ferroelectric–metal diode memory devices with high on/off ratios

In this Letter, we report a back-end-of-line (BEOL), complementary metal–oxide–semiconductor (CMOS)-compatible Al0.64Sc0. 36N-based ferroelectric diode that shows polarization-dependent hysteresis in its leakage currents. Our device comprises a metal/insulator/ferroelectric/metal structure (Pt/native oxide/Al0.64Sc0.36N/Pt) that is compatible with BEOL temperatures (≤ 350 °C) grown on top of a 4-in. silicon wafer. The device shows self-selective behavior as a diode with > 105 rectification ratio (for 5 V). It can suppress sneak currents without the need for additional access transistors or selectors. Furthermore, given the polarization-dependent leakage, the diode current–voltage sweeps are analogous to that of a memristor with an on/off ratio of ∼ 50 000 between low and high resistance states. Our devices also exhibit stable programed resistance states during DC cycling and a retention time longer than 1000 s at 300 K. These results demonstrate that this system has significant potential as a future high-performance post-CMOS compatible nonvolatile memory technology.
Normal Body Temperature and Negative Covid 19 Questionnaire Sufficient Prior to Diagnostic Neurological Testing to Prevent Covid 19 Transmission to Health Personnel

The aim of this study was to find a simple and effective way to screen patients for Covid 19, prior to them being submitted to neurophysiological or neuro-psycholoigical testing in order to protect employees from being infected during the pandemic from patient contact. On May 18, 2020 when Michigan, a critically affected pandemic area, reopened for medical business after lockdown declared by the Governor on March 23, 2020, medical personnel in our office-which is an academic neurology practice-EEG and sleep technicians, medical Assistants, physician assistants and myself fretted about potential Covid 19 transmission during neuro-diagnostic procedures-EEG, video-EEG, ambulatory EEG, PSG, MSLT, CPAP titration, neuropsychological testing, EMG/NCV, VNG/Balance test and autonomic testing including the tilt table test, which require an intimate patient contact and risk of exposure. We screened all unselected and consecutive patients who were scheduled for neuro-diagnostic testing in our facility by infrared thermometer, a standard Covid 19 questionnaire and a single Covid 19 PCR nasal/throat swab prior to these tests. 542 consecutive unselected neurological or sleep/wake disorder patients aged 18 - 90, 65% males, 35% females were tested over six months as a part of this project. A total of 1109 diagnostic tests were performed. No test was limited in scope or duration. Standard PPE precautions were still taken despite the negative screening, room door left open and relatives’ presence limited during the test procedure. All were afebrile and negative on questionnaire and only 3 were found to be positive for Covid 19 PCR, indicating that a negative infrared temperature reading and a standard Covid 19 questionnaire is over 99 percent effective in prescreening for intimate neurological diagnostic testing. The technician, administering most of these tests, never contracted the virus. The technician collecting the nasal/throat swab never contracted the virus. One PA, two sleep technicians and one medical assistant came down with Covid 19 but were all felt to have contracted that from domestic exposure from family members or friends and not when at the job. All had mild disease and rapidly recovered. Infrared temperature testing and standard Covid 19 questionnaire are sufficient prior to intimate neuro-diagnostic testing when combined with standard PPE precautions to limit exposure to Covid 19 in medical personnel in a neurology office with on-site diagnostic testing.
The impact of motor competence on energy expenditure during object control skill performance in children and young adults

BACKGROUND: An understanding of how motor skill performance levels relate to energy expenditure (EE) is an important, yet relatively unexplored topic that may better inform physical activity interventions. AIM: This study examined the impact of motor competence (MC) on EE during the performance of object control skills in children and young adults. METHOD: Forty-two children (Mage 8.1 years) and 40 young adults (Mage = 23.4 years) completed sessions of throwing and kicking at varying intensity intervals. Polynomial regressions with response surface analysis were conducted to analyze the impact of process- and product-oriented MC levels on EE. RESULTS: Moderate positive associations among process-oriented motor competence levels and EE were demonstrated in all trial interval conditions with stronger associations shown for shorter trial intervals. CONCLUSION: Individuals’ movement quality (process) demonstrated greater associations with EE than performance product (speed), especially with higher intensity skill practice. These results provide additional evidence of the positive impact that MC has on the health benefits of physical activity, specifically during participation in activities that inherently require repeated performance of object control skills.
Study of antepartum hemorrhage and its maternal and perinatal outcome at a tertiary care hospital

Antepartum haemorrhage (APH) is defined as bleeding from or into the genital tract after the period of viability until delivery of fetus andremains a major cause of perinatal mortality and maternal morbidity in the developed world. Obstetric haemorrhage accounts for 2225% of maternal mortality and amongst these antepartum haemorrhage is the most common cause of morbidity and mortality accounting for half of these deaths. APH complicates 3-5% of pregnancies and is a leading cause of perinatal and maternal mortality worldwide. Thirty percent of maternal deaths are caused by antepartum haemorrhage of which 50% are associated with avoidable factors.
Comparative Chemical Investigation of Brachychiton australis (Schott & Endl.) A. Terracc. and Brachychiton discolor F.Muell

Brachychiton australis (Schott and Endl.) A. Terrac and Brachychiton discolor F.Muell. (Malvaceae) are widely grown in Egypt and observed as important biological species. Based on chromatographic and spectroscopic methods, chemical studies of 70% methanol/water extracts of the leafy branches of both species resulted in the isolation and identification of twelve phenolics. Eight isolated flavonoids (vicenin, schaftoside, violanthin, isoviolanthin, luteolin 7-O-β-glucuronide, apigenin 7-Oβ-glucuronide, apigenin 7-O-β-glucopyranoside, and acacetin) were characterized for B. australis while three phenolic acid derivatives (trans-p-coumaric acid, trans-p-coumaric acid-O-glucoside, chlorogenic acid) and one flavonol glycoside (rutin) are considered for B. discolor. Except rutin, all compounds were reported for the first time in each species. The LC-ESI-MS assay of both extracts revealed the annotation of additional nineteen compounds including eight flavonoids, five phenolic acids, two organic acids, two fatty acids, one saccharide, and one amino acid. Most of the characterized bioactive compounds could be useful for further pharmaceutical applications. Moreover, this study presents a step forward for approaching chemosystematic revision of the examined species within the genus Brachychiton.
Effect of Orem's Self-Care Behavior Model on Quality of Life of Elderly Patients with Chronic Obstructive Pulmonary Disease

Background: Chronic Obstructive Pulmonary Disease (COPD) is a global health concern. It is a leading cause of morbidity and mortality worldwide. By 2030 it is predicted to become the third leading cause of death and the sixth cause of disability worldwide. Aim: The study aimed to evaluate the effect of Orem's self-care behavior on quality of life of elderly patients with chronic obstructive pulmonary disease in Benha City. Methods: Quasi-experimental (pre/post-test) design was utilized in this study. The study was conducted at Outpatient Clinics of Chest Hospital in Benha City, Egypt on a purposive sample of 100 elderly patients with chronic obstructive pulmonary disease. A self-administered questionnaire, an observational checklist for elderly patients practicing regarding COPD, Quality of Life Scale (QOLS) and COPD Self-Care Behavior Scale (COPDSC) were used to collect the data. Results: 55% of the studied elderly patients had good total knowledge score post model implementation, 81% of the studied elderly patients were satisfactory practices post model implementation, 72% of the studied elderly patients had good total quality of life scores post model implementation, also there were improvement in self-care behavior post model implementation p<0001. Conclusions: This study concluded the positive effects of Orem's self-care behavior on elderly patient's knowledge, practices and their quality of life regarding chronic obstructive pulmonary disease. The study recommended that continuous self -care behavior program for the elderly patients with chronic obstructive pulmonary disease to increase their knowledge and improve their behaviors and their practices.
Incidence, Predictors, and Outcomes of Patients Discharged Home Versus Other Medical Facility After Transcatheter or Surgical Aortic Valve Replacement

ABSTRACT Background Discharge patterns for patients following treatment of aortic stenosis with transcatheter (TAVR) or surgical aortic valve replacement (SAVR) are poorly defined and could impact long-term clinical outcomes. This study considers incidence, predictors, and outcomes of patients discharged home versus to another medical facility after either treatment. Methods This is a retrospective analysis of the multicenter randomized PARTNER 2 trial of transcatheter versus surgical aortic valve replacement and associated registries. All patients who received either therapy and survived until discharge were included in two separate analyses: one for patients receiving TAVR and one for patients receiving SAVR. The primary outcome was 2-year mortality after discharge home versus other medical facility. Also, a model was developed to predict discharge patterns following TAVR or SAVR. Results Of 4,312 patients who underwent TAVR, 22% (n = 958) were discharged to other medical facilities; 916 patients underwent SAVR and 52.4% (n = 480) were discharged to other medical facilities. Two-year mortality for patients undergoing aortic valve replacement and discharged to other medical facility versus home was 36.6% vs 18.0% after TAVR (p < 0.0001) and 19.7% vs 11.1% (p < 0.001) after SAVR. Patients discharged to another medical facility had worse quality of life and were more likely to be readmitted after either procedure. Conclusion After adjusting for risk factors that may relate to discharge location and death, discharge to other medical facility is associated with increased mortality and worse quality of life at 2 years following TAVR or SAVR treatment of aortic stenosis.
Characterization and Separation of Platinum-Based Antineoplastic Drugs by Zwitterionic Hydrophilic Interaction Liquid Chromatography (HILIC)–Tandem Mass Spectrometry, and Its Application in Surface Wipe Sampling

Platinum-based antineoplastic drugs (PtADs) are among the most important and used families of chemotherapy drugs, which, even showing severe side effects and being hindered by drug resistance, are not likely to be replaced clinically any time soon. The growing interest in the occupational health community in antineoplastic drug (AD) surface contamination requires the development of increasingly fast and easy high-throughput monitoring methods, even considering the lack of harmonized legally binding regulation criteria. Thus, a wipe sampling method together with zwitterionic hydrophilic interaction liquid chromatography (HILIC-Z)–tandem mass spectrometry (MS/MS) analysis was developed for the simultaneous evaluation of oxaliplatin, cisplatin, and carboplatin surface contaminations. A design of experiments approach was used to optimize the chromatographic conditions. Limits of quantification ranging from 2 to 5 ng/mL were obtained from interday and intraday repetitions for oxaliplatin and carboplatin, and between 170 and 240 ng/mL for cisplatin. The wipe desorption procedure is equivalent to other AD sampling methods, enabling a fast sample preparation, with an LC-MS/MS analysis time of less than 7 min.