Miracle-dz/UniFAR-FTUs huggingface dataset:
Variable selection in finite mixture of semi-parametric regression models

Abstract In this paper we are concerned with variable selection in finite mixture of semiparametric regression models. This task consists of model selection for non parametric component and variable selection for parametric part. Thus, we encountered separate model selections for every non parametric component of each sub model. To overcome this computational burden, we introduced a class of variable selection procedures for finite mixture of semiparametric regression models using penalized approach for variable selection. It is shown that the new method is consistent for variable selection. Simulations show that the performance of proposed method is good, and it consequently improves pervious works in this area and also requires much less computing power than existing methods.
DEVELOPMENT OF POMEGRANATE BLENDED WHEY BEVERAGE

: An attempt was made to develop pomegranate-whey based beverage. In the process of optimization of pomegranate extract level, various levels such as 5, 7 and 10 percent were tried and 7 percent pomegranate extract level was adjudged best. Similarly, out of three levels of sugar incorporation tried (6, 8 and 10%), 8% was found to be optimum. The final formulation included 85 per cent whey, 8 per cent sugar and 7 per cent of pomegranate extract. The final optimized beverage samples were pasteurized and were stored at ambient (30±1 o C) and refrigerated temperatures (7±1 o C) to study the shelf life of the beverage. Results revealed that pomegranate blended whey beverage had a keeping quality of nine days at ambient temperature and at refrigeration temperature it was found to be thirteen days.
AN INVESTIGATION ON THE EFFECT OF AD EXPENSES ON BRAND VALUE IN THE BANKING SECTOR THROUGH PANEL DATA ANALYSIS 1

This paper aims to investigate the effect of ad expenses on brand value in the banking sector. The study was conducted based on the marketing investment approach, one of Keller and Lehmann's (2003) brand value chain model stages. In the study, banks that published their financial reports on the Public Disclosure Platform (PDP) between 2012-2021 and were in the top 100 in the Brand Finance Turkey-100 brand value ranking report in the same period were included. In this direction, data on the firms’ ad expenses were obtained from the PDP, and brand values were collected from Brand Finance Turkey-100 reports. Panel Data Analysis was used to reveal the effect between ad expenses and brand value. Findings showed that ad expenses have a significant and strong positive effect on brand value.
The Influence of JIGSAW Learning Model and Discovery Learning on Learning Discipline and Learning Outcomes

This study aims to determine the effect of the jigsaw type collaborative learning model vs discovery learning model and learning discipline on learning outcomes, Message Design courses for students. This study used a quasi-experimental research design with a 2 x 2 factorial design. The data in testing this hypothesis used Descriptive Statistical Analysis and ANOVA (analysis of variance) based on a 2X2 or two-way factorial design. The null hypothesis was tested at a significance level of 5% (α = 0.05). Thus the jigsaw type collaborative learning model has advantages over the discovery learning model in achieving learning disciplines on learning outcomes message design course. The interaction between jigsaw type collaborative learning model vs discovery learning model and learning discipline on learning outcomes. Learning outcomes varied between groups of students who were taught using the collective learning model and groups of students who were taught using the exploratory model, different results were obtained. Learning outcomes varied between groups of students with high levels of learning discipline and groups of students with low levels of learning discipline. Therefore, educational institutions are expected to make policies to improve the quality of learning, especially in developing a more student-oriented learning model or better known as student-centered learning. Especially in the message design course.
О точной константе в неравенстве Розенталя@@@On an exact constant for the Rosenthal inequality

Let ξ1, . , ξn be independent random variables having symmetric distribution with finite pth moment, 2 < p <∞. It is shown that the precise constant C∗ p in Rosenthal’s inequality ∥∥∥∥ n ∑ i=1 ξi ∥∥∥∥ p 5 Cp max ∥∥∥∥ n ∑ i=1 ξi ∥∥∥∥ 2 , ( n ∑
EFEKTIVITAS PENGGUNAAN EARPLUGS DAN EYE MASK PADA PASIEN DI RUANG INTENSIVE CARE UNIT (ICU): LITERATUR REVIEW

1. PENDAHULUAN Pasien kritis yang di rawat di ruang ICU mengalami perubahan pola tidur yang dapat menurunkan kualitas tidur. Lingkungan di ruang intensive cendrung tidak bersahabat atau tidak menyenangkan bagi pasien dan keluarga baik secara fisik maupun psikologis. Pasien kritis pada dasarnya mengalami perubahan fisiologis yang dapat memperburuk organ pasien [1]. Penilaian yang dilakukan Romadoni (2018), terdapat 50% responden mengalami kesulitan tidur di ruang ICU. Abstrak
Investigation of Pomegranate (Punica granatum L.) Flowers’ Antioxidant Properties and Antibacterial Activities against Different Staphylococcus Species Associated with Bovine Mastitis

Simple Summary Mastitis is known to pose a public health hazard and cause a costly disease for dairy herds. Bacteria are the primary causes of mastitis; and antibiotics are widely used in the treatment of the disease. This can lead to antibiotic residues in various kinds of milk and an increase in the risk of antibiotic resistance in bacteria. To avoid these problems, alternative treatments by the use of natural products are being experimented and plants extracts are also examined. This study reports the investigation of potential antioxidants and antibacterial activities against mastitis pathogens of pomegranate flowers’ extracts. Results showed a high antioxidant and antibacterial potential of pomegranate flowers’ extracts against the examined mastitis pathogens. Abstract Mastitis is one of the most considerable and costly diseases for dairy herds, and Staphylococcus spp. is known to be the main causative agent. Although antibiotics are widely used in the treatment of mastitis, this can cause both antibiotic residues in milk and the risk of antibiotic resistance occurrence in bacteria. Thus, in recent years, researchers have focused on alternative treatments for this disease and plants extracts are investigated for this purpose. Pomegranate is widely used as a dye, ornament, and medicinal plants in the industry, and the species has a particularly high economic value in Turkey. This study aims to investigate in vitro the antioxidant and antibacterial properties of the pomegranate flower’s extracts against different Staphylococcus species associated with bovine mastitis. To this aim, pomegranate flowers were collected from different regions in Turkey and extracts were prepared with three different solvents (methanol, ethanol, and water). The retention factor values of the ethanol extract were determined by thin-layer chromatography. The antibacterial activity tests were carried out via the disk diffusion method. In addition, the extracts were tested against the stable DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) free radicals for antioxidant activity. Four retention factors (0.79, 0.67, 0.58, and 0.33 points) were found for the ethanol extract. The methanol extract showed the highest inhibition zones against coagulase-negative Staphylococcus-37 (CNS-37) and S. aureus-18. The lowest MIC was 6500 μg/mL. The highest antioxidant activity was observed in methanol extracts. As a result, the extracts of pomegranate flowers showed a high antioxidant and antibacterial potential against the examined mastitis pathogens.
Annual Epidemiological Report for 2020

• In 2020, 13 914 cases of hepatitis C were reported in 28 EU/EEA Member States. Excluding countries that only reported acute cases leaves 13 901 cases, which corresponds to a crude rate of 3.9 cases per 100 000 population. • Of the cases reported, 6% were classified as acute, 35% as chronic, and 53% as ‘unknown’. Five percent could not be classified due to an incompatible data format. • Hepatitis C was more commonly reported among men than women, with a male-to-female ratio of 2.2:1. The most affected age group among males was 35-44 years, and among females 25-44 years. • Mode of transmission was reported for just 31% of cases. The most commonly reported mode was injecting drug use, which accounted for 59% of cases with complete information on transmission status. • The interpretation of hepatitis C notification data across countries remains problematic, with ongoing differences in surveillance systems and difficulties in defining reported cases as acute or chronic. With hepatitis C, a largely asymptomatic disease until the late stages, surveillance based on notification data is challenging, with data reflecting testing practices rather than true occurrence of disease.
Predicting Drug Response on Multi-Omics Data Using a Hybrid of Bayesian Ridge Regression with Deep Forest

—An accurate drug response prediction for each patient is critical in personalized medicine. However, numerous studies that relied on single-omics datasets continue to have limitations. In addition, the curse of dimensionality considers a challenge to drug response prediction. Deep learning has remarkable prediction effectiveness compared to traditional machine learning, but it requires enormous amounts of training data which is a limitation because the nature of most biological data is small-scale. This paper presents an approach that combines Bayesian Ridge Regression with Deep Forest. BRR relies on the Bayesian approach, in which linear model estimation occurs based on probability distributions rather than point estimates. It was utilized to integrate multi-omics, a feature selection that calculates the coefficient as the feature importance. DF reduces the computational cost and hyper-parameter tuning cost. The Cancer Cell Line Encyclopedia CCLE was used as a dataset to integrate the gene expression, copy number variant, and single nucleotide variant. Root Mean Square Error, Pearson Correlation Coefficient, and the coefficient of determination were used as the evaluation metrics. The obtained findings show that the proposed model outperforms Random Forest and Convolutional Neural Network regarding regression performance; it achieved 0.175 for RMSE, 0.842 for PCC, and 0.708 for R2.
Ultrasonographic Measurement of Plantar Fascia Thickness in Patients with Hemiplegia

Aim : In hemiplegic patients, changes in load distribution due to spasticity and paralysis cause trauma due to increased pressure and biomechanical problems in the plantar fascia on both sides. The aim of this study was to evaluate the plantar fascia thickness on both plegic and non-plegic sides by ultrasound in hemiplegic patients. Material and Method : This cross-sectional study included patients with chronic hemiplegia (>6 months) and healthy control individuals. Clinical and demographic features were noted. Plantar fascia was visualized as hyperechoic fibrils by ultrasound. The thickness was measured in both sides and at one cm after the calcaneal connection. Results : We included forty hemiplegic patients (22 males, 18 females) with a mean age of 58.60±11.8 years; and thirty-six age, sex, and body mass index (BMI) matched healthy subjects. Plantar fascia thickness values were significantly higher on the non-plegic side (3.82±0.1 mm) compared to that of plegic side (2.83±0.6 mm) and healthy groups sides (right side: 2.82±0,5; left side: 2.81±0,6) (p<0,001). There was no relationship found between plegic and healthy group sides (p>0,05). We also found significantly positive correlation between plantar fascia thickness of the non-plegic side and time since stroke (r=0.538, p<0.001) with tonus (r=0.378, p=0.016). Conclusion : We can conclude that, plantar fascia thickness seems to be increased on the non-plegic side of patients.
2 . 2 Twentieth and Twenty-First Century Feminist Liberation Theologies

Feminist research experienced some delays in its development regarding the concept of gender: a notion only absorbed by feminist theology at the start of the 1990s. This was followed by an important change in theory construction. The presuppositions underpinning gender research are mostly poststructuralist, and work with the methodology of deconstruction. Gender theory is in a constant state of self-development, with ripple effects on the diverse landscape of Gender Studies and theology. These effects have not yet been sufficiently reflected theologically. However, an expression of these developments has been seen in the increasing use of the term gender-conscious theology, which breaks away somewhat from the narrower focus of women’s perspectives but centralizes gender justice as a goal within the church, and theology more broadly. The inclusion of gender questions within scientific theology as well as within the work of the church has remained controversial. In the ecumenical context in particular, the debate has been contentious. In disputes with papal pronouncements, the issues of the ordination of women or the churches’ position on LGBTIQ* more generally are particularly at stake. There are fundamentalist backlashes in all religions and Christian denominations but also progressive developments and e.g., many of the Protestant theologies and churches are increasingly making greater efforts to become more inclusive. My own approach stems from a feminist, postcolonial, post-secular position within Protestant Theology in Germany where I teach as a professor and where I am an ordained minister in the Protestant church in Berlin. I was a cofounder of – and work as acting president of – the International Association of the Study of Religion and Gender. This is an important organization that finds itself at the intersection of research in religion and in Gender Studies, inside as well as beyond the discipline of theology. This article addresses some of the main developments in gender theory and their effects on the study of religion and theology. It also explores historical milestones and the nuances of the word ‘woman’ as well as looking at feminism(s) in their relation to religion. Feminist Liberation Theologies of the twentieth–twenty–first century are also acknowledged. Then, gender theory is introduced, distinguishing the terms sex and gender. Kimberlé Crenshaw’s concept of intersectionality is also elaborated upon. Then, the chapter turns to poststructuralist approaches in the analysis of gender and sexuality, exploring notions such as sexuality, biopolitics and epistemology from Michel Foucault’s oeuvre. His work remains foundational for Gender, Sexuality, Queer and Transgender Studies, including for Judith Butler who developed the concept of gender as a discursive, performative category of knowledge production
The Sound of Paintings: Using Citizen Curation to Explore the Cross-Modal Personalization of Museum Experiences

This paper describes the use of Citizen Curation to explore ways in which cross-modal experiences can be used and created by museum visitors. Citizen Curation can be defined as individuals and groups from outside the museum profession engaging in curatorial activities to communicate their own ideas and stories. Previous work has explored how Citizen Curation can be used to broaden the range of voices reflected in the museum, thereby widening its appeal and relevance to new audiences. Recent research suggests that cross-modal experiences, combining visual art with music, can enhance the cultural experience as the visitor simultaneously draws on both what they see and hear. Citizen Curation provides a potential method through which visitors can create and share cross-modal experiences for each other, combining visual art and music. In this paper, we introduce the Deep Viewpoints web application that has previously been used for the Citizen Curation of looking at visual art. We then describe how the application was extended to support two further contexts (i) a musicologist curating experiences that link music to visual art in a museum collection, and (ii) visitors to a museum exhibition experiencing and creating cross-modal experiences. Finally, we reflect on different ways in which technology could be used to support cross-modal museum experiences.
THE EFFECT OF TIMELINESS OF FINANCIAL DISCLOSURE ON POST-ANNOUNCEMENT ABNORMAL RETURNS

This study examines how timeliness of disclosure of financial information affects the stock price reaction around earnings announcements. This is important for academic researchers who seek understanding of the effects of timeliness, while managers can use the results to make cost-benefit analyses when making decisions about disclosure timing. The hypotheses are tested on two samples. One contains only good news announcements, while the other only contains bad news announcements. The samples consist of S&P 500 companies and data about these companies is from the years 2010 and 2011. The effect of reporting lag is tested using a regression analysis, while controlling for unexpected earnings, firm size, systematic rist (beta), debt-to-equity ratio and conservatism (market-to-book ratio). Results indicate that timeliness of earnings announcements affects the stock price reaction if the news is bad, but not when it is good. Also, the magnitude of bad news is not relevant when predicting stock returns, but the magnitude of good news is. The observed effects are very small, and the model explains only a low percentage of the total variance in abnormal returns. The results are robust when measuring abnormal returns using the market adjusted returns and the market model. Further research is necessary to see whether the cumulative stock return in the period leading to the earnings announcement and shortly after the earnings announcement is affected by timeliness of financial disclosure.
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction

As the use of online AI inference services rapidly expands in various applications (e.g., fraud detection in banking, product recommendation in e-commerce), real-time feature extraction (RTFE) systems have been developed to compute the requested features from incoming data tuples in ultra-low latency. Similar to relational databases, these RTFE procedures can be expressed using SQL-like languages. However, there is a lack of research on the workload characteristics and specialized benchmarks for RTFE, especially in comparison with existing database workloads and benchmarks (e.g., concurrent transactions in TPC-C). In this paper, we study the RTFE workload characteristics using over one hundred real datasets from open repositories (e.g. Kaggle, Tianchi, UCI ML, KiltHub) and those from 4Paradigm. The study highlights the significant differences between RTFE workloads and existing database benchmarks in terms of application scenarios, operator distributions, and query structures. Based on these findings, we propose to develop a realtime feature extraction benchmark named FEBench based on the four important criteria for a domain-specific benchmark proposed by Jim Gray. FEBench consists of selected representative datasets, query templates, and an online request simulator. We use FEBench to evaluate the effectiveness of feature extraction systems including OpenMLDB and Flink and find that each system exhibits distinct advantages and limitations in terms of overall latency, tail latency, and concurrency performance.
Effect of the Single-Layer and Double-Layer Closure on Residual Myometrial Thickness, Isthmocele Occurrence, and Gynecological Disorders: A Prospective Randomized Controlled Study

Aim : Physicians are making great efforts to decrease the long-term complications of the cesarean section such as placental adherent syndromes, uterine scar pregnancies, uterine rupture, abnormal menstrual bleeding, or isthmocele. There is a controversy about the closure technique of the cesarean incision. The purpose of that study was to compare the impact of single layer versus double-layer closure of the hysterotomy incision on the residual myometrial thickness, isthmocele, menstrual disorders, dysmenorrhea, and dyspareunia. Material and Method: A prospective randomized cohort study has been performed in a tertiary center named Bursa Yuksek İhtisas Training Research Hospital between July – October 2021. Patients were randomly assigned to each procedure (1:1) to the Single Layer Locked Continuous group and Double-layer Continuous un-locked group as uterine closure technique. Patients were examined via transvaginal ultrasound to evaluate the isthmocele occurrence, residual myometrium thickness, and inquired about menstrual properties, dysmenorrhea, and dyspareunia. Patients were also divided into groups via underwent first cesarean and more than one cesarean. Results : The numbers of the women whose hysterotomy incision was closed by single-layer locked continuous(SLLC) technique and double-layer un-locked continuous(DLUC) technique 68 and 71 respectively. There was no statistically significant difference in terms of demographic variables, obstetric history, post-operative complications, neonatal outcomes. The comparison of these groups revealed that there was no significant difference in terms of post-menstrual bleeding, heavy menstrual bleeding, post-coital bleeding, dysmenorrhea, dyspareunia. The incisional residual myometrial thickness was higher in the DLUC group with a p-value of 0,007. Six patients in SLLC and 5 patients in the DLUC group have detected isthmocele (p: 0,941). Patients have also been categorized as women who undergone their first cesarean section (SLLC n: 33 versus DLUC, n:33) and more than one cesarean section (SLLC n: 35 versus DLUC, n:38). Comparing the patients in these subgroups also did not differ significantly in terms of isthmocele occurrence, menstrual disorders, or residual myometrial thickness. Conclusion : No significant difference had occurred in terms of isthmocele incidence, or menstrual disorders comparing the single layer versus double-layer closure. However, women whose hysterotomy insicions were closed with double-layer un- locked continuous technique have a thicker resudial myometrium than single layer closure group especially women who underwent repeated cesarean.