Miracle-dz/UniFAR-FTUs huggingface dataset:
The utility of flow cytometry for the detection of tumor cells in cerebrospinal fluid of patients with acute leukemia

Central nervous system infiltration by acute leukemia is a poor prognosis variable, and conventional cytology is the gold standard for its diagnosis; the technique is highly specific but not sensitive. To improve the diagnosis, flow cytometry has been used in different studies, showing greater sensitivity in the detection of leukemic cells. This study aimed to evaluate the presence of tumor cells by flowcytometry and conventional cytology, in cerebrospinal fluid from patients with acute leukemia as well as its relationship with clinical and biological parameters. In total, 156 CSF samples from 55 children with acute leukemia were studied. We found the following results: FCM-/CC- 131/156; FCM+/CC- 19/156; FCM-/CC+ 0; FCM+/CC+ 1/156; FC-/CC suspicious 1/156; and FCM+/CC suspicious 4/156. Patients with B-cell acute lymphoblastic leukemia and FCM+ showed a lower response to steroid-treatment, abnormal karyotype, neurological symptoms, and worse relapsefree survival. Patients with T-cell acute lymphoblastic leukemia and FCM+ demonstrated association with thrombocytopenia. In conclusion, flow cytometry has greater sensitivity for the detection of tumor infiltration in cerebrospinal fluid, a finding that correlates with prognostic parameters in patients with acute leukemia.
Dark patterns in online shopping: do they work and can nudges help mitigate impulse buying?

Dark patterns – design interfaces or features that subtly manipulate people in making suboptimal decisions – are ubiquitous especially in e-commerce websites. Yet, there is little research on the effectiveness of dark patterns, and even lesser studies on testing interventions that can help mitigate their influence on consumers. To that end, we conducted two experiments. The first experiment tests the effectiveness of different dark patterns within a hypothetical single product online shopping context. Results show that, indeed, dark patterns increase the purchase impulsivity across all dark patterns, relative to the control. The second experiment tests the effectiveness of three behaviorally informed interventions on four different dark patterns also in a hypothetical online shopping scenario, but this time offering multiple products instead of a single product. Between-subject analysis shows that not all interventions are equally effective, with uneven impact across dark patterns. However, within-subject results indicate that all interventions significantly reduce purchase impulsivity pre- versus post-intervention, indicating that any intervention is better than none when it comes to combating dark patterns. We then end by discussing the policy implications of our results.
Factors Affecting Dental Caries Experience in 12-Year-Olds, Based on Data from Two Polish Provinces

(1) Background: Dental caries is a chronic disease that affects a child’s dentition from the first stages of life. Several factors contribute to the development of the disease, including an improper diet. This cross-sectional study aimed to identify risk factors of dental caries in 12-year-old adolescents from Greater Poland and Lubusz Provinces (Poland). (2) Material and methods: The research was conducted in adolescents from five primary schools. A questionnaire consisted of close-ended questions on socioeconomic characteristics on family, diet, and oral hygiene habits. An assessment of the dentition was carried out in accordance with World Health Organization (WHO) recommendations. In addition to cavitated carious lesions, incipient caries lesions were noted according to the International Caries Detection and Assessment System, adapted for epidemiological studies (ICDASepiDMFt). (3) Results: The mean number of teeth with untreated caries; removed due to caries; and restored because of caries (DMFt) was 1.52 ± 1.90, while the ICDASepiDMFt index amounted to 2.64 ± 2.55, respectively. Children who did not brush every day had significantly higher odds of having ICDASepiDMFt > 0 than children brushing at least once daily (OR = 10.32, 95% CI = 1.36–78.32, p = 0.0240). Adolescents who drank sweet carbonated drinks every day had significantly higher ICDASepiDMTt than children who drank sweet carbonated drinks less frequently (p = 0.0477). (4) Conclusions: The research revealed that dental caries indices of 12-year-old adolescents from Greater Poland and Lubusz Provinces depend mainly on oral hygiene behaviors. The only significant nutritional factor that differentiated the caries intensity was the daily consumption of sweet carbonated drinks.
Comparison of the Utilization of Tranexamic Acid and Tourniquet Use in Total Knee Arthroplasty: A Retrospective Case Series

Introduction: Total knee arthroplasty (TKA) carries a high risk for significant blood loss due to bone cuts and extensive soft tissue involvement in the knee region. The use of tranexamic acid (TXA) or a tourniquet are two methods commonly employed to prevent significant blood loss and avoid the need for blood transfusion. TXA has been shown to reduce both intraoperative and postoperative bleeding as well as the probability that a patient will require a blood transfusion. The purpose of this study is to compare the efficacy of TXA and tourniquet use, both alone and in combination, in reducing blood loss during TKA. Methods: Data for this retrospective cohort study were obtained by searching records of patients who underwent TKA at a tertiary care center from January 2019 to October 2020. Data from 526 subjects were available. A chart review was conducted to determine if the patient received TXA only, tourniquet only, or both TXA and tourniquet during the TKA procedure. Primary outcomes for this study including procedure length in minutes, estimated blood loss in cubic centimeters, and total infusion pressor (phenylephrine) administered intraoperatively in milligrams were recorded for the study. Data were summarized using means and standard errors. Statistical methods used for analysis include one-way ANOVA, probability plots, the Shapiro-Wilk test for normality, the Kruskal-Wallis test, and Tukey’s test. Results: Data were available for 526 subjects. 122 subjects received tourniquet only (Tourniquet group), 104 received intravenous (IV) TXA only, 264 received both tourniquet and IV TXA (Tourniquet + TXA), and 36 received neither tourniquet nor TXA (None). The groups did not significantly differ in procedure length (p = 0.140) or infusion pressor total (p > 0.20). The groups did significantly differ in estimated blood loss (p < 0.001). Subjects who did not receive either TXA or tourniquet had significantly more blood loss than the Tourniquet and Tourniquet + TXA groups. Similarly, the TXA group had significantly more blood loss than both the Tourniquet and Tourniquet + TXA groups. Conclusion: This study supports the conclusion that the use of a tourniquet is superior to the use of TXA in reducing intraoperative blood loss during TKA. All groups that underwent TKA using a tourniquet, either alone or in combination with TXA, exhibited significantly lower levels of blood loss compared to the control (no intervention) group.
Dynamics of Exchange Rate Fluctuations in Turkey: Evidence from Symmetric and Asymmetric Causality Analysis

This study examines the factors affecting exchange rate fluctuations in Turkey by employing the quarterly data from 2008 to 2020. In this context, linear and nonlinear unit root tests were used to determine the stationarity levels of the variables. Then, symmetric and asymmetric causality analysis was preferred to ascertain the relationship between the variables. Symmetric causality analysis results indicated a causality relationship from the exchange rate to the long-term debt stock, from the credit default swap (CDS) to the exchange rate, and from the exchange rate to the uncertainty index. The asymmetric causality analysis showed a causality relationship from positive shocks in the short-term debt stock to negative shocks in the exchange rate. Also, it was proven that there exists a causality relationship from negative shocks in the short-term external debt stock to positive and negative shocks in the exchange rate. Another result demonstrated a causality relationship between positive shocks in the exchange rate to negative shocks in the long-term debt stock. In addition, it was found that negative shocks in net capital investment were the cause of negative shocks in the exchange rate, while it was determined that there was a causality relationship from positive shocks in the net reserves to positive shocks in the exchange rate. In conclusion, the asymmetric causality relationship from positive shocks in CDS to positive shocks in exchange rates was detected.
A Survey on Hardware Vulnerability Analysis using Machine Learning

Electronic systems rely on efficient hardware, popularly known as system-on-chip (SoC), to support its core functionalities. A typical SoC consists of diverse components gathered from third-party vendors to reduce SoC design cost and meet time-to-market constraints. Unfortunately, the participation of third-party companies in global supply chain introduces potential security vulnerabilities. There is a critical need to efficiently detect and mitigate hardware vulnerabilities. Machine learning has been successfully used in hardware security verification as well as development of effective countermeasures. There are recent surveys on hardware Trojan detection using machine learning. To the best of our knowledge, there are no comprehensive surveys on utilization of machine learning techniques for detection and mitigation of a wide variety of hardware vulnerabilities including malicious implants (e.g., hardware Trojans), side-channel leakage, reverse engineering, and supply-chain vulnerabilities (e.g., counterfeiting, overbuilding and recycling). In this paper, we provide a comprehensive survey of hardware vulnerability analysis using machine learning techniques. Specifically, we discuss how existing approaches effectively utilize machine learning algorithms for hardware security verification using simulation-based validation, formal verification as well as side-channel analysis.
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS MOBILE LEARNING PADA PLATFORM ANDROID SEBAGAI SUMBER BELAJAR UNTUK MENINGKATKAN KEMANDIRIAN BELAJAR DAN HASIL BELAJAR FISIKA PESERTA DIDIK KELAS X

Penelitian ini bertujuan untuk menghasilkan media pembelajaran berbasis mobile learning pada platform android yang layak digunakan sebagai sumber belajar fisika kelas X, mengetahui pengaruh media pembelajaran berbasis mobile learning pada platform android terhadap hasil belajar fisika kelas X, dan mengetahui pengaruh media pembelajaran berbasis mobile learning pada platform android terhadap kemandirian belajar fisika peserta didik kelas X. Penelitian ini merupakan penelitian R & D dengan desain ADDIE yang terdiri dari lima tahap, yakni Analysis, Design, Development, Implementation, dan Evaluation. Aplikasi yang dikembangkan diujicobakan kepada 22 peserta didik kelas X SMA 1 Sedayu. Pengumpulan data dilakukan dengan pemberian lembar validasi kepada ahli materi, ahli media, guru fisika, dan peer reviewer untuk menilai kelayakan produk serta angket respon peserta didik untuk memberi masukan produk yang dikembangkan. Pengadaan pretest dan posttest untuk mengetahui peningkatan hasil belajar dan pengisian angket oleh peserta didik, observasi di kelas, dan wawancara untuk mengetahui peningkatan kemandirian belajar peserta didik. Hasil penelitian menunjukkan bahwa produk hasil pengembangan media dinyatakan layak berdasarkan penilaian ahli, guru fisika dan peer reviewer serta angket respon peserta didik dengan kategori baik, media pembelajaran yang dikembangkan dapat meningkatkan hasil belajar hukum Newton dan penerapannya dengan nilai gain 0,6 atau dalam kategori sedang, dan media pembelajaran yang dikembangkan dapat meningkatkan kemandirian belajar peserta didik kelas X dengan nilai gain 0,2 atau dalam kategori rendah. Kata kunci: mobile learning, hasil belajar, kemandirian belajar
The Effect of Agreed Export Tonnage Scheme (AETS) Policy on Indonesia's Natural Rubber Exports to Japan

Natural rubber is one of Indonesia's major agricultural export commodities. However, the export performance of Indonesia’s natural rubber to several destination countries experienced a downward trend during the 2011-2019 period. Japan is one of the leading export destinations for Indonesia’s natural rubber, experiencing a downward trend in export value. This study aims to analyze Indonesia’s natural rubber exports to Japan and its agreed export tonnage scheme (AETS) policy. The study utilized a monthly time series data from 2011 to 2019. The data were analyzed using descriptive qualitative and error correction model (ECM) methods. The results showed the implementation of AETS policy and world natural rubber price had significant effect on the export value of Indonesia’s natural rubber to Japan in the long-run, but it is not applied in the short-run. Indonesia needs to improve the quality and productivity of natural rubber production to increase the performance of Indonesia’s natural rubber exports to Japan. Furthermore, Indonesia needs to evaluate the effectiveness of the AETS policy on natural rubber.
User Experience Design Using Machine Learning: A Systematic Review

User experience (UX) is the key to increased productivity by enhancing the usability and interactivity of the product. Machine learning (ML) solutions have raised user and academic awareness of technical innovation. As a result, ML is becoming increasingly popular to improve the quality of UX. Several investigations have highlighted a potential lack of studies on the overall challenges and recommendations for UX using ML. Therefore, more attention should be paid to ML’s existence and potential applications across various applications to get the most out of ML techniques to improve the UX design process. To this objective, a systematic review of the literature was performed as to determine the challenges faced by UX designers when incorporating ML in their design process. Recommendations that help UX designers incorporate ML into UX design will be highlighted. Furthermore, the PRISMA approach is used (a process that has been established in the literature), to restrict the chance of bias at the selection stage. Relevant articles in the following four databases were searched: IEEE Xplore, Scopus, Web of Science, and ACM. The findings revealed that the number of publications on issues linked to UX with ML had advanced exponentially. This review highlights the challenges, recommendations, tools, algorithms, techniques and datasets used in different studies. In addition, suggestions are given for future investigations.
Data-Driven Quality Management of Online Service Systems

of thesis entitled: Data-Driven Quality Management of Online Service Systems Submitted by ZHU, Jieming for the degree of Doctor of Philosophy at The Chinese University of Hong Kong in January 2016 Nowadays, a wide variety of online services are emerging on the Internet, serving many aspects of our daily life including Web searching, social networking, online shopping, etc. Unlike traditional shrink-wrapped desktop software, most of these online services are designed as large-scale distributed systems operating on a 24x7 basis. The success of an online service is highly dependent on the delivered quality of service (QoS), which has direct effects on user experience and revenues of service providers. However, the everincreasing scale and complexity of online service systems, coupled with the use of Web services, make it an enormous challenge for service providers to engineer their systems with high quality guarantees. In this thesis, we propose data-driven approaches to quality management of online service systems. Firstly, we propose a Web service positioning framework for response time prediction of Web services. Response time, as one of the most important QoS attributes, is critical for many performance optimization tasks. But it is difficult to acquire comprehensive response time information in practice. By leveraging network coordinate systems, our Web service positioning framework achieves joint response time monitoring and prediction for Web services, which alleviates the limitation of data sparsity in existing approaches. Secondly, we propose an online QoS prediction approach for runtime service adaptation. To meet QoS guarantees, online service
Crossbreeding beef sires to dairy cows: cow, feedlot, and carcass performance

Abstract Genetic and reproductive advancements in the dairy industry, volatile milk markets, and beef packer restrictions on dairy carcasses have increased the popularity of crossbreeding beef sires to dairy cows in the United States. This observational study aimed to understand performance of dairy cows bred to beef sires and feedlot and carcass performance of crossbred beef × dairy cattle. For dairy cow performance, archived records from two dairies representing two successive lactations were evaluated in cows (Dairy A: n = 72/group; Dairy B: n = 456/group) representing 1) All Dairy, where previous sire type of conception was Holstein for both lactations, or 2) Beef on Dairy, where previous sire type of conception was Holstein for the preceding lactation and a beef breed for the subsequent lactation. For feedlot performance, closeout data from pens (n = 26/cattle type) of beef and beef × dairy steers and heifers were evaluated. For carcass performance, individual carcass data were compared between conventional beef (n = 966), beef × dairy (n = 518), and Holstein (n = 935) steers sampled across a variety of processing facilities, harvest lots, and geographical regions. Cow lactation performance was minimally impacted by sire type of previous conception. Cows conceived to beef sires exhibited a 2 to 3 d greater (P < 0.01) gestation length than cows conceived to Holstein sires. Beef × dairy cattle were not largely different in weight gain at the feedlot but exhibited 1-unit lesser (P < 0.01) dressing percentage than beef cattle. Beef × dairy carcasses possessed 18% lesser (P < 0.05) 12th rib fat thickness than beef cattle and 5% greater (P< 0.05) ribeye area than dairy cattle. Additionally, beef cattle produced nearly double (P < 0.05) the percentage of yield grade 4 carcasses produced by beef × dairy and Holstein cattle.
Analysis of Prognostic Factors of Colorectal Cancer Liver Metastasis after Microwave Ablation

Objective: To investigate the risk factors associated with intrahepatic recurrence and survival after microwave ablation (MWA) for colorectal cancer with liver metastases. Methods: Retrospective analysis of clinical, pathological and follow-up data of 60 patients who underwent ultrasound-guided microwave ablation for treating liver metastases from January 2013 to December 2015 at the Sixth Affiliated Hospital, Sun Yat-Sen University, with Cox univariate and multifactorial regression analyses of risk factors affecting intrahepatic recurrence and overall survival after ablation of liver metastases. Results: After follow-up for 12.5 to 47.4 months, intrahepatic recurrence occurred in 26 cases, of which 6.1% (7/114) showed local tumor progression at the original ablation site; 11 cases died for tumor-related reasons. Multi-factor Cox regression analysis showed that age ≥60 years and maximum diameter of liver metastases ≥2 cm were independent risk factors for patients to develop intrahepatic recurrence after surgery. HBsAb positivity and chemotherapy after ablation until intrahepatic recurrence are independent protective factors for patients developing intrahepatic recurrence after surgery. Multi-factor Cox regression analysis showed that the number of liver metastases ≥3 was an independent risk factor for overall survival. Conclusion: After microwave ablation for patients with colorectal cancer liver metastases, patients aged ≥60 years, HBsAb negative and with maximum liver metastases ≥2 cm in diameter were more likely to have recurrent intrahepatic metastases, while aggressive chemotherapy after ablation was effective in reducing recurrent intrahepatic metastases, and the number of liver metastases ≥3 indicated a poor overall prognosis.
Site meeting as a sustainable construction tool

Site meeting is one of the oldest - and current way of managing problems emanating from construction projects and enforcing acceptable standard. This study therefore examined the use of site meetings in addressing the level of occurrence of construction problems and challenges thereby ensuring sustainability of construction projects. Data were collected through questionnaires administered on construction professionals with relevant experience in Switzerland. Site meeting helps to enforce quality standards such as developing a project quality control plan, assess workmanship during construction, increases communication in the construction team, assess the specification used and requires a competent construction manager. In ensuring that construction projects are sustainable, adequate site meetings will ensure that protective clothing, glasses and other wears are used by workers and all stakeholders on construction site, ensure team building, ensures skilled and qualified workers are used on sites; ensure tight but realistic targets are set and ensure that there is a health and safety officer on site. In view of this, site meeting should no longer be perceived as just a routine construction exercise but a great tool for enhancing smooth and acceptable standard for construction process. Competent and experienced project managers should also be appointed by clients, owners and financiers of construction projects for proper coordination of site meetings.