Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Premenstrual Syndrome and Using Traditional and Complementary Medicine Therapies Among Nursing Students Hemşirelik Öğrencilerinde Premenstrual Sendrom Prevalansı ve Geleneksel ve

Objective: To determine the prevalence of premenstrual syndrome and using traditional and complementary medicine among nursing students. Material and Method: This descriptive and cross-sectional study was conducted with 187 nursing students in a university, Turkey. The data was collected using the Information form and the Premenstrual Syndrome Scale. Data was evaluated in SPSS (Windows 15.0) program. Results: The mean age of the students was 21.14±1.74 years, and the mean menarche age was 13.01±1.22 years. The mean menstruation cycle was 29.02±5.86 days, and the mean menstruation duration was 6.04±1.29 days. The prevalence of premenstrual syndrome was found 70.7%. There was a statistically significant relationship between Premenstrual Syndrome Scale mean score and mother education level (χ²=24.410; p=0.000), smoking (χ²=15.930; p=0.001), premenstrual syndrome symptoms in mother (χ²=13.579; p=0.001) and premenstrual syndrome symptoms in sister (χ²=11.591; p=0.009). The 97.9% of students used traditional and complementary medicine therapies. The most used mind-body practices was heat therapy (77%), the most used phytotherapy was chamomile (9.1%), and the most used dietary therapy was hot drinks (4.8%). Conclusion: It was determined that the majority of nursing students had premenstrual syndrome. Most of them were used traditional and complementary medicine therapies to cope with premenstrual syndrome symptoms. The most used traditional and complementary medicine therapies were mind-body practices. Besides, family history, education level of mother and smoking were affecting factors for premenstrual syndrome.
DOCUMENTOS DE ECONOMÍA Y FINANZAS INTERNACIONALES

Fiscal harmonization for the European Union member states is a goal that encounters major di¢ culties for its implementation. Each country faces a particular trade-o¤ between scal revenues generated by taxation and the productive e¢ ciency loss induced by their respective tax code. Countries for which a particular harmonized tax code requires more taxation, will have to face an increased e¢ ciency loss, for those required to decrease their taxes, will have to face a loss in scal revenue. This papers provides a quantitative measure of these trade-o¤s, for a number of taxes and for the European Union member states, using a DGE model with public inputs. Calibration of the model for the EU-15 member states gives us the following results: i) The maximum tax revenue level is not far away from the current tax levels for most countries, ii) The cases of Sweden, Denmark and Finland are anomalous, as productive e¢ ciency can be gained by lowering tax rates without a¤ecting scal revenues, iii) In general, countries would obtain e¢ ciency gains without changing scal revenues by reducing the capital tax and increasing the labor tax and iv) Capital tax harmonization to the average capital tax rate can be done with quite small changes in both scal revenues and output for the majority of countries. JEL Classi cation Numbers: E43, E62 Key words: Fiscal harmonization, applied general equilibrium. ( ) The authors acknowledge nancial support from Instituto de Estudios Fiscales and SEJ122. We thank Javier J. Pérez and participants in the VI Workshop on International Economics, Málaga 2007, for very useful comments and suggestions. Contact Author: Gonzalo Fernández de Córdoba. Address: Departamento de Economía e Historia Económica. Universidad de Salamanca. Edi cio FES Campus Miguel de Unamuno. Spain. Tlf: +00-34-923-294500 (Ext. 3172). Fax: +00-34-923-294686. e-mail: gfdc@usal.es
A Quantitative Analysis of the Effects of Capital Controls: Spain, 1986–1990

This Paper offers a quantitative assessment of the effectiveness of capital controls in Spain during the period 1986-1990. The analysis is based on a portfolio-balance model Previously estimated for the Spanish economy, where the complete elimination of capital controls is simulated. Our results suggest that capital controls would have avoided a net capital outflow amounting to nearly a 4 per cent increase in the Spanish net foreign asset position, as a quarterly average, during the first five years of Spanish membership into the EU. [C32, F21, F36]
Bayesian Adaptive Trials for Cardiovascular Conditions

During the last few decades, advances in clinical research in particular those conducted through clinical trials – have been put forth to meet the needs for changes in conventional approaches. The challenges of conducting large clinical trials make the cost of new therapeutic developments grow rapidly. They also do not prevent the patients from experiencing ineffective experimental therapies. The goal has been always to improve both the cost and the efficacy of therapeutic developments, even for the patients who never get the chance to participate in a clinical trial. Adaptive clinical trials were the fruits of a longing for more flexible and efficient approaches. They have been distinctly popular in small populations such as patients with rare diseases. The small size of such a population is an onerous burden of conducting a clinical trial. Because of the scattering of the population geographically, there is a large heterogeneity that needs to be taken into account. A few cardiovascular conditions such as Adult Congenital Heart Disease (ACHD) fall under this umbrella. The Bayesian paradigm implemented in an adaptive trial is a natural framework matching its features. However, adaptive designs and Bayesian adaptive trial designs have not been undertaken much to study these populations. Thus, Bayesian adaptive clinical trials would be pioneers as the next generation of plausible approaches to study small vulnerable populations arise. Advancements in computational tools, methodologies and their accessibility over the last decades are one of the main reasons why the application of the Bayesian approach has been further pursued in clinical research practice. Several software programs, some of which have been open-source, are available for statisticians and can carry out high level Bayesian analysis required computations. Statisticians can also write their new-study (self-modified perhaps) related programs, incorporating additional Bayesian applications if they wish nowadays. WinBUGS and OpenBUGS (Lunn (2000) [7]), SAS software (SAS Institute, Cary, North Carolina, USA) and R [8] provide massive tools to facilitate Bayesian applications in clinical trials (CT) and in particular in adaptive clinical trials (Some of available software, packages and procedures offered by different sources, have been listed in Table 1). Adaptive clinical trials have the
Predictors of Mortality in Sepsis Patients Resulting from Severe and Critical COVID-19

Patients with severe and critical COVID-19 may exhibit sepsis and mortality resulting from multi-organ failure. Neutrophil-lymphocyte-ratio (NLR) values, C-reactive protein (CRP) levels, sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHE-II) scores were used to assess the risk of mortality in sepsis patients resulting from severe COVID-19 infection. The adequacy of NLR, CRP, SOFA, and APACHE-II scores were evaluated as predictors of mortality in septic COVID-19 patients at Dr. Kariadi Hospital Semarang, Indonesia, between August 2021 and July 2022. The subjects included severe and critical COVID-19 patients who fulfilled the WHO interim guidelines and Sepsis-3 criteria. A total of 211 patients were included, which were divided into survivor (n = 116) and non-survivor (n = 95) groups. NLR values, CRP levels, SOFA, and APACHE-II scores were measured within 24 hours of patient admission. Univariate and multivariate logistic regression analyses were used to identify the risk factors for COVID-19 mortality. Receiver operating characteristic curve analysis was used to predict the mortality of severe COVID-19 patients. The results indicated that the APACHE-II score was an independent predictor of mortality in sepsis patients resulting from severe and critical COVID-19. © 2023 by SPC (Sami Publishing Company).
Analgesia For Knee Ligamentoplasty Comparisons of Three Techniques Using the Silverman Integrating Approach (SIA SCORE)

: Introduction The aim of this prospective study was to compare the analgesic efficacy of three techniques for knee ligamentoplasty using an integration score, the SIA score. Hypothesis . The use of a statistical approach to integrate data from pain scores and morphine consumption will identify four patient subgroups that may hamper the accuracy of the comparative study Material . - We included 165 patients undergoing primary reconstruction of the anterior cruciate ligament of the knee. All patients underwent spinal anaesthesia. The first group, systemic analgesia (SA), received balanced systemic analgesia postoperatively for a minimum of five days, based on Paracetamol, Diclofenac and a morphine PCA. In addition to the systemic analgesia already described, the second group, femoral analgesia (FA), will benefit from a femoral peri-nervous catheter in the crural position. 20 ml of bupivacaine at 0.125% concentration is injected; maintenance is set up immediately with a continuous flow of 8 ml/h for 36 h. The third intra-articular analgesia (IAA) group received, in addition to the same systemic analgesia, an infusion through an epidural catheter of 20 ml of 0.125% bupivacaine, followed by maintenance with 8 ml/h of the same local anesthetic via an electric syringe pump for 36 h. We evaluated cumulative morphine consumption, pain estimation at rest using a numerical scale (EN) from 1 to 10, and an integration of these two parameters. Results . - The mean age was identical for all three groups, at around 30 years. Analgesia in the femoral peri-nerve group was more effective, with a reduction in mean EN compared with the
Lovelet: a heartwarming communication tool for intimate people by constantly conveying situation data

WHAT IS REQUIRED TO CONVEY AFFECTION Today, various personal communication tools have been widely used and people can mutually communicate at anytime and anywhere. However, it is still difficult to convey delicate feelings, e.g., affection, by using such tools. A possible reason of this difficulty is lack of real-time awareness on mutual situation, timely action and non-verbal information. For instance, when out for a walk in the snow, you might say “mind your step, it’s slippery” to your dear partner and reach out for him/her. Such timely verbal and non-verbal actions convey your delicate feelings to the partner. On the phone, you can partially convey such feelings by voice, tone of voice, intonation and so forth. However, it is impossible to always piece out the situation of the partner by the phone, e-mail and so on, and hence it is also very difficult to timely react to the partner’s situation.
Hydrodeoxygenation of Castor Oil As an Alternative Source of Biohydrocarbon Using Nickel Catalyst Loaded On Hzsm-5 Zeolite

Abstract: The need for energy continues to increase along with rapid population growth. Fuel is one of the most critical energy sectors. However, the limited availability of fossil fuels and the issue of air pollution have prompted various studies to find alternative fuels that are renewable and environmentally friendly. In this study, the conversion of castor oil into biohydrocarbons through the hydrodeoxygenation (HDO) process using the HZSM-5 catalyst loaded with Ni (Ni/HZSM-5) aims to produce biohydrocarbon products as a component of liquid fuel. This research has been carried out in 3 main stages, including: 1) Catalyst preparation; 2) Catalyst characterization; and 3) Activity and selectivity test of HZSM-5 catalyst and Ni/HZSM-5 in the hydrodeoxygenation process of castor oil at reaction temperatures of 350 oC, 375 oC, and 400 oC. The conversion results of castor oil using HZSM-5 and Ni/HZSM-5 catalysts were 3.23%, 25.65%, 43.72%, and 13.78%, 35.03%, 71.01%, respectively. From the GC-MS analysis data on the product at 400 oC, the selectivity of HZSM-5 and Ni/HZSM-5 was 20.02% and 23.71% for the kerosene fraction, as well as 15.79% and 11.01% for the gasoil fraction, respectively.Abstrak: Kebutuhan energi terus meningkat seiring dengan pertumbuhan jumlah penduduk yang sangat pesat. Salah satu sektor energi yang paling dibutuhkan adalah bahan bakar minyak. Namun kesediaan bahan bakar fosil yang terbatas dan isu pencemaran polusi udara, mendorong berbagai penelitian untuk menemukan alternatif bahan bakar yang terbarukan dan ramah lingkungan. Dalam penelitian ini, konversi minyak jarak menjadi biohidrokarbon melalui proses hidrodeoksigenasi (HDO) menggunakan katalis HZSM-5 teremban logam Ni (Ni/HZSM-5) bertujuan untuk menghasilkan produk biohidrokarbon sebagai komponen bahan bakar cair. Penelitian ini telah dilakukan dengan 3 tahapan utama yaitu 1) Preparasi katalis, 2) Karakterisasi katalis, 3) Uji aktivitas dan selektifitas katalis HZSM-5 serta Ni/HZSM-5 dalam proses hidrodeoksigenasi minyak biji jarak dengan temperatur proses 350 oC, 375 oC, dan 400 oC. Hasil konversi minyak biji jarak dengan menggunakan katalis HZSM-5 dan katalis Ni/HZSM-5 berturut-turut sebesar 3.23%, 25.65%, 43.72% dan 13.78%, 35.03%, 71.01%. Dari data analisis GC-MS produk di suhu 400 oC diperoleh selektivitas katalis HZSM-5 dan katalis Ni/HZSM-5 berturut-turut adalah 20.02% dan 23.71% untuk fraksi kerosene, serta 15.79% dan 11.01% untuk fraksi gasoil.
- Swansea University Open Access Repository

A model of brand value co-creation by integrating its the antecedents of interactivity, social support, and relationship quality is proposed. Empirical data was collected from the brand pages of a social networking website in China. Structural equation modeling was adopted to analyze the data. The results demonstrate that interactivity, speci ﬁ cally, consumer-consumer interaction and consumer-seller interaction, positively affects social support, which in turn enhances consumers ’ intention to co-create brand value. The research contributes to the extant literature by providing an underlying understanding of how customers engage in brand value co-creation activities within social commerce context. © 2017 Elsevier Ltd
Online microdialysis-high performance liquid chromatography-inductively coupled plasma mass 1 spectrometry (MD-HPLC-ICP-MS) as a novel tool for sampling hexavalent chromium in soil 2 solution. 3

10 Conventional soil solution sampling of species-sensitive inorganic contaminants, such as hexavalent 11 chromium (Cr VI ), may induce interconversions due to disruption of system equilibrium. The temporal 12 resolution that these sampling methods afford may also be insufficient to capture dynamic 13 interactions, or require time-consuming and expensive analysis. Microdialysis (MD) is emerging as a 14 minimally invasive passive sampling method in environmental science, permitting the determination 15 of solute fluxes and concentrations at previously unobtainable spatial scales and timeframes. This 16 article presents the first use of MD coupled to HPLC-ICP-MS for the continuous sampling and 17 simultaneous detection of Cr VI in soil solution. The performance criteria of the system were assessed 18 using stirred solutions; good repeatability of measurement (RSD < 2.5%) was obtained for Cr VI , with a 19 detection limit of 0.2 µ g L -1 . The online MD-HPLC-ICP-MS setup was applied to the sampling of native 20 Cr VI in three soils with differing geochemical properties. The system sampled and analyzed fresh soil 21 solution at 15-minute intervals, offering improved temporal resolution and a significant reduction in 22 analysis time over offline MD. Simple modifications to the chromatographic conditions could resolve 23 additional analytes, offering a powerful tool for the study of solute fluxes in soil systems to inform 24 research into nutrient availability or soil-to-plant transfer of potentially harmful elements.
A numerical investigation into Southern Ocean sea ice using CICE version 4.0

Numerical simulations of Southern Ocean sea ice were conducted using the Los Alamos numerical sea ice model CICE version 4 (CICE4) which was configured in stand-alone mode on a moderately high-resolution Southern Ocean grid. The atmospheric forcing was derived from the hemispheric forecasting model Polar Limited Area Prediction Systems and ocean forcing from the global ocean general circulation model Australian Climate Ocean Model. An eleven-year simulation was carried out for the interval from 1998 to 2008. Results show that the meridional position of the sea ice edge follows an annual cycle of northward (southward) movement during ice growth (decay). This cycle is largely driven by thermodynamics but ice advection also contributes. Once a mature winter ice pack has formed, ice advection exceeds thermodynamic expansion in providing impetus for northward ice edge movement, most prominently in regions such as north of Prydz Bay and the western Weddell Sea. These zones are characterized by persistent southerly winds. With progressing seasons there is an increase in the size and number of longitudinal zones where ice advection out-paces the thermodynamic advance of the ice edge. This is caused by a slowing in the thermodynamically-driven expansion, while ice advection remains fairly constant over monthly intervals. Eventually there is a time interval when the zonal average northward ice velocity is greater than the zonal average northward expansion of the ice edge and so ice advection is dominant in determining the ice edge position. This is not sustainable due to a lack of thermodynamic growth in austral spring, consequently the ice retreats poleward. We examined the relationship between total ice area and total ice volume. There exists a correlation which is best in February. This correlation deteriorates as the year progresses so that July fails at 90% confidence. During November and December the correlation becomes significant at 95% confidence level. Simulations were also conducted using forcing adjusted by amounts that are compatible with the A1B scenario for IPCC Fourth Assessment Report projected changes in climate for the year 2100. These simulations showed a dramatic reduction in summer total ice area (to about 2% of the control simulation) and total ice volume (to about 5% of the control simulation) but a less dramatic reduction from April to October (to about 80% for total ice area and about 70% for total ice volume compared to the control simulation). In summer most ice was confined to the southern Weddell Sea and to the up-stream sides of the East Antarctic coastal protrusions, especially the fast ice over the Ninnis Bank. Even in climates warmer than that of the A1B projections ice remained east of the Ninnis Bank because the large thickness of ice here does not have time to melt before freezing conditions return. Whether fast ice over the Bank could remain trapped by the many grounded icebergs is such a warm climate is uncertain.
Optimizing Product Line Designs : Efficient Methods and Comparisons *

Toubia for the data used in the study. We thank Andreas Schulz for his insightful comments and for suggesting connections to the stable set problem in discrete optimization. We compare a broad range of optimal product line design methods. The comparisons take advantage of recent advances that make it possible to identify the optimal solution of problems that are too large for complete enumeration. Several of the methods perform surprisingly well, including Simulated Annealing, Product-Swapping and Genetic Algorithms. The performance of the Product-Swapping heuristic is surprising given its simplicity.
Evaluation of In-Vitro Antioxidant Activity of Root Bark Extracts of Ventilago Maderspatana Gaertn

Ventilago maderspatana Gaertn. is a plant having enormous biomedical potential. It is a plant in the Indian system of medicine having a plethora of properties and applications and The root barks powder of Ventilago maderspatana Gaertn. have many properties and applications like it are used as a stomachic, tonic, carminative, stimulant. It is also useful in the treatment of weakness and fever. For further investigations of activities like anti-oxidant activity, In-vitro anti-oxidant studies were done on root bark extracts of Ventilago maderspatana Gaertn. (Family Rhamnaceae) by using standard methods like Lipid peroxidation Assay, Estimation of total anti-oxidant capacity (TAC), Hydroxyl radical scavenging activity, Nitric oxide inhibition radical activity by p-Nitroso dimethyl aniline method, and ABTS Radical scavenging method. The root barks of plant Ventilago maderspatana Gaertn. Were subjected to cold maceration process in 3-liter Round bottom flask using ethanol and distilled water and nature and yield was noted and stored at 40C in the refrigerator until further use and both the extracts were labelled as Ventilago maderspatana Gaertn. Root Bark aqueous (VMRBA) and Ventilago maderspatana Gaertn. Root Bark Ethanolic (VMRBE) for convenient identification. Ethanolic extract of Root Bark showed the more potent anti-oxidant activity than aqueous Root Bark extract of Ventilago maderspatana Gaertn.
The Usage of Bio-Chem Kit for Supporting Student's Engagement in Understanding Biogeochemical Cycles

Environmental education is essential since the issue of environmental degradation has raised global attention and concern. The principles of ecology course will teach students basic environmental principles and knowledge necessary for future environmental administrators. In disseminating the knowledge to the students, the educators faced challenges in engaging with the students regarding large and complex information, such as the topic of the biogeochemical cycle. Employing an infographic, BIO-CHEM KIT
HIV-1 Infection Results in Sphingosine-1-Phosphate Receptor 1 Dysregulation in the Human Thymus

Regeneration of functional naïve T lymphocytes following the onset of human immunodeficiency virus (HIV) infection remains a crucial issue for people living with HIV (PLWH), even when adhering to antiretroviral therapy (ART). Thus far, reports on the impact of HIV-1 infection on the entry of thymic precursors and the egress of functional naïve T lymphocytes to and from the thymus are limited. We examined the impact of HIV-1 on Sphingosine-1-phosphate (S1P) signaling, which governs the egress of functional naïve thymocytes from the thymus to the periphery. Using in vitro experiments with primary human thymocytes and in vivo and ex vivo studies with humanized mice, we show that HIV-1 infection results in upregulation of the expression of S1P receptor 1 (S1PR1) in the human thymus. Intriguingly, this upregulation occurs during intrathymic infection (direct infection of the human thymic implant) as well as systemic infection in humanized mice. Moreover, considering the dysregulation of pro- and anti-inflammatory cytokines in infected thymi, the increased expression of S1PR1 in response to in vitro exposure to Interferon-Beta (IFN-β) and Tumor Necrosis Factor-Alpha (TNF-α) indicates that cytokine dysregulation following HIV infection may contribute to upregulation of S1PR1. Finally, an increased presence of CD3hiCD69− (fully mature) as well as CD3hiCD69+ (less mature) T cells in the spleen during HIV infection in humanized mice, combined with earlier expression of S1PR1 during thymocyte development, suggests that upregulation of S1PR1 may translate to increased or accelerated egress from the thymus. The egress of thymocytes that are not functionally mature from the thymus to peripheral blood and lymphoid organs may have implications for the immune function of PLWH.