Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnostic validity of p16, E-cadherin, cyclin D1, p53, and HPV E6/E7 mRNA in CIN 3-like squamous cell carcinoma of the cervix

Objective Cervical intraepithelial neoplasia grade 3 (CIN 3)-like SCC is a recently identified deceptive growth pattern that closely mimics endocervical crypt involvement by CIN 3. As CIN 3-like SCC is indistinguishable from endocervical crypt involvement by CIN 3, it poses a significant challenge for pathologists. Method We examined 23 cases of CIN 3-like SCC, 6 of which also had concomitant conventional invasive SCC, and 9 cases of endocervical crypt involvement by CIN 3 as a control group. Immunohistochemistry was used to investigate the expression of p16, E-cadherin, cyclin D1, and p53, and the expression of human papillomavirus (HPV) E6/E7 mRNA, the key virus carcinogen of HPV, was detected. The clinicopathological, immunohistochemical, and molecular characteristics of endocervical crypt involvement by CIN 3, CIN 3-like SCC, and the concomitant conventional invasive SCC element were examined. Result CIN 3-like SCC exhibited a characteristic morphology similar to endocervical crypt involvement by CIN 3, with pushing borders invading into the wall of the cervix, often to a significant depth in most cases. Immunophenotypic features of E-cadherin, p16, cyclin D1, and p53 differed between CIN 3-like SCC and conventional invasive SCC, both in staining intensity and region. E6/E7 mRNA expression was higher in CIN 3-like SCC than in endocervical crypt involvement by CIN 3 (P < 0.05). Conclusion CIN 3-like SCC is the type of cancer, presenting numerous challenges and potential for confusion as it mimics the phenotypes of endocervical crypt involvement by CIN 3.
A Study of Systemic Risk in the Banking Industry

This paper introduces the function and operation mechanism of banks in the market, mainly studies the interest rate risk and liquidity risk in the market risk, and briefly analyzes the intermediate role of market risk in relation to several major events in 2023 and recent years in the financial industry, such as the collapse of Silicon Valley bank; In addition, policy and regulatory risks are also an important part of the external risks faced by banks. Several major bank failures indirectly caused by the Fed's interest rate hike have attracted the attention of global economists. The systemic risks caused by the mutual contagion and chain reaction of these risks cannot be underestimated, and will even lead to systemic financial crisis. At the end of this paper, systemic risk and systemic financial crisis are discussed, which are closely related to the whole market environment or the life of every civilian. Therefore, it is necessary to study systemic financial risk, so as to better develop risk management plans and countermeasures.
Reproducing Predictive Learning Analytics in CS1: Toward Generalizable and Explainable Models for Enhancing Student Retention

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first student pass–fail prediction approach proposed by Van Petegem and colleagues (2022) in a different CS1 course. Using student submission and self-report data, we investigated the reproducibility of the original approach, the effect of adding self-reports to the model, and the interpretability of the model features. The results showed that the original approach for student dropout prediction could be successfully reproduced in a different course context and that adding self-report data to the prediction model improved accuracy for the first four weeks. We also identified relevant features associated with dropout in the CS1 course, such as timely submission of tasks and iterative problem solving. When analyzing student behaviour, submission data and self-report data were found to complement each other. The results highlight the importance of transparency and generalizability in learning analytics and the need for future research to identify other factors beyond self-reported aptitude measures and student behaviour that can enhance dropout prediction.
Population structure, resource potential and diagnostic features of raw materials of Saussurea controversa DC.

The life form and the ontogenesis of the perspective medicinal plant Saussurea controversa DC. (Asteraceae) are described. The species is considered as polycentric, perennial, summer-green, herbaceous polycarpic half-rosette plant with rhizome. The aerial part of the plant includes the polycyclic rosette vegetative and elongated generative shoots. In the ontogenesis, four periods and nine ontogenetic states are distinguished. The ontogenetic and vital structures of four populations were studied in the vicinity of Efremkino village (Republic of Khakassia). Populations are incomplete with accumulation of virginal individuals and predominance of individuals of intermediate and high classes of vitality. Analysis of the distribution and resource research in the population with the highest density and area makes it possible to classify the species as the 3rd category of resource species due the necessity to observe the regime of sustainable use. The diagnostic features of the S. controversa’s raw material are the structure of the middle vein of the leaf which includes a large number of vascularfbrous beams and the abaxial epidermis containing stomata of the anomocytous type and 4 types of trichomes. The paper contains 3 Figures and 27 References.
The Contribution of Secondary Particles Following Carbon Ion Radiotherapy to Soft Errors in CIEDs

Introduction: While carbon ion radiotherapy is highly effective in cancer treatment, it has a high risk of causing soft error, which leads to malfunctions in cardiac implantable electrical devices (CIEDs). To predict the risk of malfunction prior to treatment, it is necessary to measure the reaction cross-sections and contributions to the soft error of secondary particles generated during treatments. Methods: A field-programmable gate array was used instead of CIEDs to measure soft errors by varying the energy spectrum of secondary particles. Results and discussion: The reaction cross-sections measured for each secondary particle were 3.0 × 10−9, 2.0 × 10−9, 1.3 × 10−8, and 1.5 × 10−8 [cm2/Mb] for thermal neutrons, intermediate-energy neutrons, high-energy neutrons above 10 MeV, and protons, respectively. The contribution of high-energy neutrons was the largest among them. Our study indicates that to reduce the risk of soft errors, secure distance and appropriate irradiation directions are necessary.
Research on AI Commercial Application development

As the emerging industry continues to grow, there has been a rise in both the quality and quantity of AI products during the era of commercialization. This article aims to discuss the pros and cons of AI products and looks ahead to their commercialized development. The primary focus of this paper is to examine the current state and progress of AI commercialization by analyzing four aspects: AI-generated artwork technology, machine translation capabilities, and intelligent customer service to AI itself such as its lack of intelligence, limitations in creativity, copyright concerns, and social impact. increasing involvement in human society, it becomes crucial to establish a new human-machine ecosystem in this era under specific circumstances. In terms of politics, the " China 2025" policy proposed a means to integrate information technology with manufacturing processes – aligning with the trajectory of AI commercialization.
An Analysis of the Artistic Marketing Strategies of the Aranya Community in Qinhuangdao, China

In recent years, consumer scenarios have been continuously evolving and iterating. Along with the changes in historical and cultural contexts, people's consumption behaviors and psychology have also been constantly transformed. This article comprehensively analyzes the historical changes and developments in consumer society and explores the challenges of urban consumption spaces in the post-pandemic era. The successful creation of the aranya community, and its activation pathway, will be the primary focus of this article. By combining with other typical brand cases, delve into changes in consumer psychology and behaviors, seeking to understand the emotional expectations consumers place on post-pandemic-era consumption spaces. Architectural spaces and consumption scenes are not merely physical structures but also places consumers rely on to release their spiritual and emotional needs. This article will explore and summarize the aranya brand's construction methods, as well as the significance of creating atmospheric experiential feelings for consumers. It will analyze the cultural dissemination of art education in situational consumer spaces and underline the necessity of constructing situational experiential feelings in consumption spaces. This will enable designers and space creators to conduct more in-depth research on the design and cultural dissemination of consumption spaces, providing a more solid theoretical foundation for future urban consumption space development.
A comparative study of grain quality and physicochemical properties of premium japonica rice from three typical production regions

Grain quality indicates rice commodity value. This research compared grain quality and physicochemical properties of premium japonica rice from three production regions, Yangtze River downstream of China (YRDCN), Northeast region of China (NECN) and Japan. Results showed that there were distinct quality and physicochemical characteristics variance among the three groups of japonica rice, while CVs of most quality parameters from low to high was Japan, YRDCN and NECN. YRDCN rice presented obvious lower apparent amylose content (AAC) and ratio of each chain-length sections of amylopectin, and showed higher protein contents especially glutelin and ratio in short and intermediate amylopectin molecules. Among three rice groups, YRDCN rice presented weaker appearance, whereas did not show inferior cooking and eating properties, which was primarily linked to lower AAC. Rice AAC and starch fine structure significantly correlated with pasting parameters, swelling power and solubility, while protein content had close relation with taste analyzer parameters. Results of this study indicated improvement direction for japonica rice of YRDCN, and also provided reference for consumers’ rice purchasing selection in accordance with individual taste preference.
Examining the Effects of Online Games on The Academic Performance of BPEd Students of Sultan Kudarat State University, Philippines

During the COVID-19 pandemic, the rise in online gaming and the absence of face-to-face education in schools has raised worries about the effect on students' academic performance. This study aimed to find out the relationship between the level of online learning and the academic performance of BPEd students. It is in this light of this study to assess the level of impact of online games to the: (1) health aspect, (2) social aspect, (3) intellectual aspect, and (4) academic performance of chosen BPED students at Sultan Kudarat State University Access Campus. The researchers employed a descriptive-evaluative research approach since the study's findings would analyze students' engagement in online gaming applications, and the researchers used Google Forms to collect the data they required. With a total of thirty respondents, the set questionnaires employed will act as a data collection tool. Frequency count and weighted mean were the statistics employed in the investigation. According to the survey, the majority of the respondents are in the 20-year-old age group, with 40% of the respondents coming from the second-year level. It also revealed that the majority of respondents who played online games are men, accounting for 80 percent of the study's respondents. Based on the findings of this study, it can be concluded that playing online games has no substantial association with the respondents' academic success, as evidenced by their Probability-value.
Adaptive Pose Estimation Algorithm Based on Point Pair Feature

Accurately estimating the 6-D pose is crucial in various modern production fields. This article introduces a novel approach for efficiently and precisely estimating the 6-D pose of known objects within point cloud scenes of various resolutions, aiming to tackle the challenge of rapid and accurate 6-D pose estimation. This framework utilizes point pair features (PPFs) to conduct pose voting through a combination of offline training and online matching. Scene coefficients and model coefficients are introduced, and the required neighborhood point number for filtering is calculated based on different target objects, scenes, and point cloud densities. The appropriate downsampling rate is also calculated, and a novel hypothesis verification method is utilized to eliminate false positives and predict the accurate 6-D pose of the target object. The framework demonstrates good performance on industrial part datasets, showing good robustness under different point cloud densities.
The effects of non-bitter Cucumis metuliferus fruit extract on blood sugar of high-fat/fructose diet and streptozotocin-induced type II diabetic Wistar Albino rats

Globally, diabetes mellitus (DM) remains one of the leading debilitating non-communicable diseases, with its prevalence projected to increase from 8.8% in 2015 to 10.0% in 2030. The management of diabetes mellitus remains a major challenge, and the number of diabetes-related deaths is projected to rise from 3.1 million in 2015 to 4.2 million in 2030. This continues to be a public health concern, particularly in developing countries where the majority of people are poor and predominantly live in rural areas, facing challenges in accessing healthcare services. However, the non-bitter Cucumis metuliferus fruit is being used for managing type 2 diabetes mellitus by some communities in Kenya, although its therapeutic benefits have not been adequately studied and proven. The study aimed to determine the effects of non-bitter Cucumis metuliferus fruit extract on blood sugar in high-fat/fructose diet and streptozotocin-induced type II diabetic Wistar albino rats. This study adopted an experimental laboratory-based design. A sample size of 64 male Wistar albino rats, aged 5 weeks and weighing between 90 and 130 grams, was randomly assigned to two major study groups: the control group and the experimental group. The experimental group received a high-fat/fructose diet plus streptozotocin (STZ) injection to induce diabetes mellitus, whereas the control group received a standard rodent pellet diet plus 0.9% normal saline injection. The experimental group was further divided into a positive control group treated with pioglitazone (the standard drug) at a dose of 20 mg/kg body weight, a low-dose CMFE group at 200 mg/kg body weight, and a high-dose CMFE group at 400 mg/kg body weight. Fasting blood sugar (FBS), oral glucose tolerance test (OGTT), and haemoglobin A1c (Hb A1c) tests were used as indicators, and the results were compared between the groups. The study findings revealed a significant statistical rise (P <0.001) of FBS in the treatment group after induction of type II DM, followed by a decline to pre-induction levels after treatment. Similarly, there was a statistically significant increase (P <0.001) of the OGTT after induction of type II DM, with the OGTT declining to pre-induction levels following treatment (P =0.106). The findings on both the FBS and OGTT tests indicate that treatment with CMFE controlled the blood sugar. Consequently, there was no significant difference (P =0.712) in Hb A1c test results between the control group and the treatment group at the end of the experiment, indicating that treatment with CMFE had a long-term control effect on blood sugar. This study concludes that the non-bitter CMFE possesses both short-term and long-term hypoglycemic properties in type II diabetes mellitus.
USING TREE REGRESSION TO IDENTIFY NUTRITIONAL AND ENVIRONMENTAL FACTORS AFFECTING SUGARCANE PRODUCTION

A prediction function is developed for sugarcane yield using preplant soil nutrition levels, cultivar, and soil type. A tree regression approach is used because the resulting function encompasses the complexity of response between yield, multiple nutrients and other factors, while handling large amounts of data and providing information useful in the development of fertilizer and other production recommendations. Data collected from 148 control plots of experiments performed on commercial fields in the Everglades Agricultural Area of Florida are used to illustrate the method.
Examining the Progression of Blockchain Technology and Its Implementation During Digital Economy

Blockchain technology is a peer-to-peer, distributed, and innovative database and disruptive information technology. It has features such as decentralized organization, tamper resistance, and anonymity. It has become the most critical element in developing a new generation of information infrastructure in China and a core component in driving the digital economy. Blockchain relies on the Internet ecosystem, providing not only the foundation for trusted protocols but also unlimited potential applications in inclusive financial services, digital assets, e-government, and other fields. It integrates the most advanced information technologies in modern society, making it of great significance in reshaping and developing the digital economy. This article explores the characteristics and development history of blockchain technology, as well as its current research status and potential theoretical value and practical significance when applied to digital economic scenarios. At the same time, it will discuss the current limitations of blockchain research, possible future directions, and development methods.
National Cultures

This article provides an overview analysis about national-cultural differences. In particular, research on national cultural differences (Hofstede. 1980) allowed to compare different national cultures on a large scale. Later, new countries and regions were added to the study; In the end, data was collected from 50 countries and 3 regions. In the original study, four dimensions distinguishing national cultures were used, namely: hierarchical distance, ambiguity avoidance, masculinity-femininity, and added a fifth dimension-Confucian dynamism/long-term orientation (Hofstede. 1997). In original study, each country was assigned a certain score relative to other countries along four dimensions. Country scores (estimates) were compared to conceptually related data obtained from different sources. Hofstede and others. (2010) argue that close correlations confirm the validity of the data, that is, differences between countries are indeed fundamental and long-term phenomena. Keywords: national, cultures, business administration, management, human resources.
Analgesic Therapy with the Opioids Fentanyl and Morphine by Ambulance Personnel in Rural Areas: An Observational Study Over 7 Years

Background The treatment of severe pain is one of the basic procedures of emergency medicine. In rural regions, longer arrival times of the emergency doctor prevent the earliest possible treatment of pain. Since 2014, a project for independent analgesia by ambulance personnel has been introduced in our ambulance service area. Methods Over a period of 7 years the mission protocols were recorded and statistically evaluated within the framework of an observational study. Among other things, the attendance and transport times, vital signs, pain level, symptom groups (body region) and classification according to disease or accident mechanism were recorded. Treatment data by medication, including dosages, were recorded for fentanyl (monotherapy), morphine (monotherapy) and a combination (change from morphine to fentanyl, additional application of esketamine, metamizole or butylscopolamine). Results In 659 patients, the opioids fentanyl and morphine were used by the ambulance staff, 596 data sets could be evaluated. When an emergency physician was requested, the average time of presence at the scene was 34.8 +- 11.7 min, in cases of unavailability it was 29.0 +-9.8 min (p<0.0001). Analgesic therapy resulted in a reduction of pain from NRS 8.4 (+-1.3) to NRS 3.5 +-1.8 (p<0.0001). Pain intensity after treatment by emergency paramedics compared to emergency physicians was not significantly different with NRS 3.5 +- 1.7 versus NRS 3.6 +-1.9 (p=0.788). Fentanyl was used at a mean dose of 0.18mg +- 0.11 and morphine at a mean dose of 4.4mg +- 3.6mg. There was no clinically relevant decrease in oxygen saturation or respiratory rate in any of the treatment groups. Antagonisation of the opioid effect with naloxone was not necessary in any case. Conclusion Analgesia with morphine and fentanyl by specially trained ambulance personnel according to defined rules of use is a safe and necessary procedure for patients, especially in rural regions.
Warm Mix Asphalt for Cold Weather Paving

Warm Mix Asphalt for Cold Weather Paving Olof Kristjansdottir Chair of the Supervisory Committee: Assistant Professor Stephen T. Muench Civil and Environmental Engineering Increased environmental awareness and stricter emissions regulations have led to a development of warm mix asphalt (WMA) to reduce the high mixing temperatures of regular hot mix asphalt (HMA). Its benefits are reduction in energy consumption during production and reduced emissions during production and placement. The three most tested methods are; WAM Foam, Aspha-min zeolite and Sasobit wax. All three methods reduce the viscosity of the binder at a certain temperature range, allowing the aggregate to be fully coated at lower temperatures than in HMA production. Previous research has not focused much on how WMA functions in cold weather paving. This paper investigates WMA’s potential in cold weather conditions and specifically how Iceland, with such conditions, can benefit from it. The conclusions in this paper are drawn from a literature review and a survey that was conducted among Iceland’s paving industry professionals. Reduced emissions are especially beneficial in densely populated areas and in non-open air paving. The decreased viscosity allows effective compaction at lower temperatures where cool down rates are slower. WMA’s disadvantages are mainly related to rutting and moisture susceptibility issues. Using WMA processes at HMA production temperatures: 1) Increases the temperature gap between production and cessation, allowing e.g. increased haul distances 2) Facilitates compaction, which is beneficial for; stiff mixes and RAP, paving during extreme weather conditions and reduction in compaction effort. Icelandic professionals are generally positive towards WMA, interested in testing it further for Icelandic conditions, and hopeful about its potential for helping with some key problems in Icelandic paving. The final conclusion is that WMA is a viable option for cold weather conditions and for the paving industry in Iceland, Sasobit is most suitable of the three methods, and usage incentives are twofold: 1) As a compaction aid for mixes produced at, or close to, regular HMA production temperatures, used to increase haul distances and/or pave during cold and difficult weather conditions, and sometimes slightly reduce fuel consumption as well. 2) As an environmentally friendly method when emissions approach limits, although not an issue today it may become one with stricter emissions regulations or increased production.