Miracle-dz/UniFAR-FTUs huggingface dataset:
Fluorescence optical imaging feature selection with machine learning for differential diagnosis of selected rheumatic diseases

Background and objective Accurate and fast diagnosis of rheumatic diseases affecting the hands is essential for further treatment decisions. Fluorescence optical imaging (FOI) visualizes inflammation-induced impaired microcirculation by increasing signal intensity, resulting in different image features. This analysis aimed to find specific image features in FOI that might be important for accurately diagnosing different rheumatic diseases. Patients and methods FOI images of the hands of patients with different types of rheumatic diseases, such as rheumatoid arthritis (RA), osteoarthritis (OA), and connective tissue diseases (CTD), were assessed in a reading of 20 different image features in three phases of the contrast agent dynamics, yielding 60 different features for each patient. The readings were analyzed for mutual differential diagnosis of the three diseases (One-vs-One) and each disease in all data (One-vs-Rest). In the first step, statistical tools and machine-learning-based methods were applied to reveal the importance rankings of the features, that is, to find features that contribute most to the model-based classification. In the second step machine learning with a stepwise increasing number of features was applied, sequentially adding at each step the most crucial remaining feature to extract a minimized subset that yields the highest diagnostic accuracy. Results In total, n = 605 FOI of both hands were analyzed (n = 235 with RA, n = 229 with OA, and n = 141 with CTD). All classification problems showed maximum accuracy with a reduced set of image features. For RA-vs.-OA, five features were needed for high accuracy. For RA-vs.-CTD ten, OA-vs.-CTD sixteen, RA-vs.-Rest five, OA-vs.-Rest eleven, and CTD-vs-Rest fifteen, features were needed, respectively. For all problems, the final importance ranking of the features with respect to the contrast agent dynamics was determined. Conclusions With the presented investigations, the set of features in FOI examinations relevant to the differential diagnosis of the selected rheumatic diseases could be remarkably reduced, providing helpful information for the physician.
Effect of permafrost thawing on DOC in surface waters

As air temperatures in arctic and subarctic environments increase, permafrost thawing is becoming more widespread. This report focuses on how permafrost thawing will affect dissolved organic carbon (DOC) concentrations in streams, lakes, and rivers. I found that in areas with uphill soil containing an organic layer overlaying mineral soil, such as the Yukon River Basin in Alaska/Canada and in central Siberia, there has been a decrease in DOC in surface waters associated with permafrost thawing. However, in areas dominated by peatland, such as in northern Sweden and western Siberia, there has been an increase of DOC with permafrost thawing. These differing results are likely due to the nature of the soil. In areas with uphill soil, when permafrost is present it acts as a barrier that confines the soil water to the organic layer, allowing high export of DOC. However, when permafrost thaws it increases the active layer of the uphill soil and the DOC is able to reach the mineral soil where it becomes adsorbed. In areas with peatland the increased active layer allows for the soil water to infiltrate deeper into the peat layers and increases the DOC export to surrounding surface waters. In some areas of the arctic there has been no change of DOC concentration with permafrost thawing. Some possible explanations for this are that permafrost thawing will only affect particulate organic carbon (POC) and not DOC, or that the vegetation changes in the arctic will have a stronger influence on DOC changes than permafrost thawing.
Reliable Time Contingency Estimation Based on Adaptive Neuro-Fuzzy Inference System in Construction Projects

Project scheduling is one of the most essential processes and plays a critical role in determining the success of construction projects. The reliable time contingency enables project planners to effectively address uncertainties and various types of risks that may affect the project duration. The traditional scheduling technique such as deterministic methods and probabilistic methods may not be suitable when used for planning construction projects with uncertainties and risks. This paper proposes a new framework that integrates risk management into project scheduling to establish a more reliable project schedule. The proposed model adopts the adaptive neuro-fuzzy inference system (ANFIS) called the ANFIS-TOOL to model the possibility of risk occurrences integrated with project scheduling in terms of risk lag time (ANFIS-RLT) to generate risk-integrated project duration (RPD). The learning capabilities of adaptive neural networks are utilized to adjust the parameters of the model according to the fuzzy rules, aiming to achieve the most suitable representation of the model. In a real-life case study, a sheet pile wall with a temporary bracing system (SPBS) was applied to demonstrate the application of this technique. The root mean square error (RMSE) was used to validate the accuracy of the model before being applied to real construction projects with a high degree of accuracy. This model can be used as an excellent tool to generate a more reliable schedule baseline in construction projects.
Behaviour in Amur leopard (Panthera pardus orientalis) at two Swedish zoos

The Amur leopard (Panthera pardus orientalis) is one of the most endangered species in the world, with only a few individuals left in the wild. Many Amur leopards are kept in captivity to help save the population. Abnormal behaviours or stereotypies are common in captive animals, especially carnivores. Stereotypies are repetitive behaviours without any evident goal or function. Pacing, where an animal is walking back and forth, is one of the most common stereotypies. The aim of this study was to compare two Swedish zoos – Nordens Ark and Parken Zoo – that both house Amur leopards and see whether or not there is a difference in pacing frequency between the zoos and what might cause this difference. Both zoos had one female and one male leopard. The animals were observed during one hour four times a day for six days. The results showed that the leopards at Parken Zoo did not pace at all but walked a lot, while both animals at Nordens Ark paced. The reasons for the pacing is unclear, but there might be a combination of many causes, for example the feeding routines, other animals and visitors.
SPECIL: Spell Error Corpus for the Indonesian Language

In this study, we present the first spell error corpus for the Indonesian Language (SPECIL). This corpus provides a comprehensive resource for researchers and practitioners to detect and correct spelling errors in Bahasa Indonesia (Indonesian). It should be emphasized that currently, there is no recognized corpus for identifying spelling mistakes in the Indonesian language that has been officially released or made accessible. This study also provides a systematic literature review to identify resources and methodologies for building a corpus for spelling error detection and correction in Indonesia. A corpus was created using a combination of manual and automatic methods. The results of this study are a review of publications relating to corpora and spelling, the novel algorithm of six types of spelling errors, and the production of a corpus comprising over 180,000 tokens in 21,500 sentences, including non-word, real-word, and punctuation errors. Using the developed corpus, various Natural Language Processing (NLP) models, including spell checkers and language models, can be trained and tested to enhance their accuracy and effectiveness in identifying and rectifying errors in Indonesian texts.Moreover, the corpus can be used to develop and evaluate new algorithms and techniques for spelling error detection and correction in Indonesia. The SPECIL corpus is publicly available and accessible.It is expected that SPECIL will inspire further research in this area and facilitate the development of more accurate and effective spelling error detection and correction tools in Indonesian language.
Sport and Tourism: Globalization, mobility and Identity

Introduction 1. Sport and tourism 2. Globalization, mobility and identity 3. Globalization, mobility and identity 4. Sport and tourism in a global world 5. Sport and contemporary mobility 6. Culture and identity. Activity 7. Globalization and the mobility of elite competitors 8. Spectatorship and spectator experiences 9. Recreational sport and serious leisure. People 10. Authentic experiences Temporary sport migrants 11. Transnationalism, migration and diaspora. Place 12. Modern landscapes and retro parks 12. Place attachment Sport and place competition. Conclusion - Globalization, mobility and identity: Building theoretically informed insights into the study of sport and tourism.
Why childcare workers work when ill: organizational position matter

ABSTRACT Working despite being ill is a challenging behaviour in the childcare sector. Whereas previous research on presenteeism often ignores whether a subject is a leader or an employee, we examine herein how organizational position affects presenteeism and the reasons for presenteeism among childcare workers. By analysing data from a two wave panel of 827 employees and leaders from the occupational group of childcare workers, we find that presenteeism is higher among employees than among leaders, however, not when we control for absenteeism. Employees and leaders have different reasons for going to work despite being ill. For instance, leaders have a higher probability of going to work ill because they want to avoid creating a backlog of work tasks. In contrast, employees have a higher probability of presenteeism out of consideration for colleagues. Overall, the findings provide insights into how presenteeism is affected by different organizational positions in the childcare sector.
Integrated UWB/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review

Integrated Ultra-wideband (UWB) and Magnetic Inertial Measurement Unit (MIMU) sensor systems have been gaining popularity for pedestrian tracking and indoor localization applications, mainly due to their complementary error characteristics that can be exploited to achieve higher accuracies via a data fusion approach. These integrated sensor systems have the potential for improving the ambulatory 3D analysis of human movement (estimating 3D kinematics of body segments and joints) over systems using only on-body MIMUs. For this, high accuracy is required in the estimation of the relative positions of all on-body integrated UWB/MIMU sensor modules. So far, these integrated UWB/MIMU sensors have not been reported to have been applied for full-body ambulatory 3D analysis of human movement. Also, no review articles have been found that have analyzed and summarized the methods integrating UWB and MIMU sensors for on-body applications. Therefore, a comprehensive analysis of this technology is essential to identify its potential for application in 3D analysis of human movement. This article thus aims to provide such a comprehensive analysis through a structured technical review of the methods integrating UWB and MIMU sensors for accurate position estimation in the context of the application for 3D analysis of human movement. The methods used for integration are all summarized along with the accuracies that are reported in the reviewed articles. In addition, the gaps that are required to be addressed for making this system applicable for the 3D analysis of human movement are discussed.
Globalization, Technological Advancement and the Elderly People: A Systematic Review of Literature

Old age comes with lots of challenges which become a burden to the able-bodied members of society and may cause physical and economic stress over the short and long term. Technology has catalysed development processes the world over for many decades now. It has affected the senior members of society in their everyday lives either negatively or positively. Existing research focused much on the impact of technology on old people from the perspective of caregivers and family members. This paper examines the impact of technology on old people using the available literature from the old people's perspective. International Bibliography of the Social Sciences (IBSS) and sociological abstracts (SOCAB) databases were used, and a total of 6 articles from a pool of articles generated were analysed. The study found that there are several assistive devices available to the ageing members which to a great extent gives them a sense of belonging to society in that it helps them keep their identity by being independent. It has also been found that old people are still sceptical about some of the devices as they are perceived to be invading their privacy. Furthermore, the paper proposes a future study on how social interaction can lead to successful ageing.
Classification model for mental health of employees based on variable encoder techniques

The detection of mental health problems as early as possible is very critical for social development as well as for healthcare industry development. In this paper, logistic regression with variable encoder techniques will be used to classify mental health problems of employees. The model has a promising ability to predict whether an employee has a mental health issue using its basic information including gender, age, work, and other related information. The model reaches a high accuracy and high AUC values in the testing procedure, meaning the model can be further used in other binary prediction areas.
Dynamics of human diversity: The case of mainland Southeast Asia

Human diversity is the central problem of all the fields of anthropology. Our languages, our genetics, our material cultures, our social organization: these are woven together by the ancient processes of change and diversification that produce the rich diversity we see today. What are these processes and how do they work? Can we know what life was like 10,000 years ago, and how it came to be the way it is today?
Runtime Verification of Crypto APIs: An Empirical Study

Misuse of cryptographic (crypto) APIs is a noteworthy cause of security vulnerabilities. For this reason, static analyzers were recently proposed for detecting crypto API misuses. They differ in strengths and weaknesses, and they might miss bugs. Motivated by the inherent limitations of static analyzers, this article reports on a study of runtime verification (RV) as a dynamic-analysis-based alternative for crypto API misuse detection. RV monitors program runs against formal specifications; it was shown to be effective and efficient for amplifying the bug-finding ability of software tests. We focus on the popular JCA crypto API and write 22 RV specifications based on expert-validated rules in a static analyzer. We monitor these specifications while running tests in five benchmarks. Lastly, we compare the accuracy of our RV-based approach, RVSec, with those of three state-of-the-art crypto API misuses detectors: CogniCrypt, CryptoGuard, and CryLogger. Results show that RVSec has higher accuracy in four benchmarks and is on par with CryptoGuard in the fifth. Overall, RVSec achieves an average <inline-formula><tex-math notation="LaTeX">${\boldsymbol{F}}_{1}$</tex-math><alternatives> <mml:math> <mml:msub> <mml:mrow> <mml:mi mathvariant="bold-italic">F</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> </mml:mrow> </mml:msub> </mml:math> <inline-graphic xlink:href="bonifacio-ieq1-3301660.gif"/></alternatives></inline-formula> measure of 95%, compared with 83%, 78%, and 86% for CogniCrypt, CryptoGuard, and CryLogger, respectively. We highlight the strengths and limitations of these tools and show that RV is effective for detecting crypto API misuses. We also discuss how static and dynamic analysis can complement each other for detecting crypto API misuses.
Inbound Marketing Strategies in Increasing Sales to Sellers in Online Marketplaces

Purpose: This study aims to analyze sales strategies in online marketplaces using inbound marketing Theoretical framework: Inbound marketing is a way of digital marketing by creating content to build brand awareness in consumers. It is expected to make consumers trust and then make product purchases. Businesses and marketers are also advised on how and which techniques can be successful in each process. Design/methodology/approach: The method used in this research is a qualitative approach. The object of this research is in Malang City, and we took a sample of 5 samples of sellers or traders who always enter Top Seller on March 10, 2023. Primary data in this study were obtained from questionnaires or questionnaires and interviews with sellers in the online marketplace in Malang City. Data collection techniques are in the form of observation, interviews, and documentation. Data analysis techniques in a qualitative approach using analysis steps belonging to. Findings: The results are that inbound marketing strategies that include the reach, act, convert, and engage stages can effectively increase sales to sellers in online marketplaces. In the reach stage, social media and high-quality content are key to attracting potential customers. The act stage involves improving the atmosphere of the online store and utilizing online marketplace features. In the convert stage, the shop follows vouchers and saving combos to convert potential customers into actual customers. Finally, the engage stage focuses on maintaining consumer relationships through seller information and repurchase strategies. Research, Practical & Social implications: The study is expected to provide new knowledge about sales improvement strategies for all companies, especially online sales systems through inbound marketing. And this research is still possible to be developed further with a different point of view. Originality/value: No research discusses inbound marketing strategies to increase sales in online marketplaces without paid advertising. This is the originality of this research.
When drought meets heat – a plant omics perspective

Changes in weather patterns with emerging drought risks and rising global temperature are widespread and negatively affect crop growth and productivity. In nature, plants are simultaneously exposed to multiple biotic and abiotic stresses, but most studies focus on individual stress conditions. However, the simultaneous occurrence of different stresses impacts plant growth and development differently than a single stress. Plants sense the different stress combinations in the same or in different tissues, which could induce specific systemic signalling and acclimation responses; impacting different stress-responsive transcripts, protein abundance and modifications, and metabolites. This mini-review focuses on the combination of drought and heat, two abiotic stress conditions that often occur together. Recent omics studies indicate common or independent regulators involved in heat or drought stress responses. Here, we summarize the current research results, highlight gaps in our knowledge, and flag potential future focus areas.
Meetup: O'neill for Everyday Life

ABSTRACT:In these divided times, where people are blaming "the other" for the problems that face us all, the emotional intelligence offered by O'Neill's works is needed more than ever. O'Neill, unfortunately, is not well known beyond the academic and professional theater communities. In order to make O'Neill more accessible to everyday people, the article author launched an online Meetup group where the participants discuss one play each month. The meetings focus on discussion of O'Neill's plays on a visceral level, relating the works to everyday life. The meetings have proved successful, with robust attendance most months and each member providing compelling insights—often relating the plays to their current world views and personal experiences.
Design and Sensitivity Investigation of Dielectric Modulated and Electrolyte-Based pH Sensing of Vertical TFET Biosensor

The potential for nanoscale devices to serve as a platform for the detection of biomolecules is immense. Several challenges have been faced in the device fabrication process. To address these issues, the uniformly doped concept was introduced. This study suggests the use of a vertical tunnel field-effect (VTFET) transistor with a pH base and a gate overlap dielectric modulation for label-free electrical recognition of biomolecules such as cells, deoxyribonucleic acids, proteins, enzymes, and others. In the present article, two simple approaches of sensitivity analysis are compared, the first one is the dielectric modulated analysis and the second one is the electrolytic-based pH sensing of vertical TFET biosensor. The proposed model incorporates the effects of pH and the dielectric constant to provide a generalised solution applicable to neutral biomolecules. To test the effectiveness of the proposed sensors, a thorough simulation is run using an ATLAS device simulator. The effects of pH changes on device characteristics like the device current (IDS) and surface potential sensitivity are investigated. Additionally, pH sensors measure changes in hydrogen ion concentration in aqueous solutions and shifts in drain current caused by changes in the dielectric constant that have been used to analyse the sensitivity of dielectric modulated biosensors. The drain current sensitivity of the pH-hetero-VTFET biosensor is estimated as 8.8 × 105 which is higher than the sensitivity (9.1 × 104) of DM-hetero-VTFET at the cavity length of 30 nm. Since it has been found that the proposed sensor exhibits significant variations in its surface potential and drain current (ION), so this device is preferable as an appropriate sensing transducer.
The Manifestation and Solution of Time Dilemma of Teachers of Ideological and Political Theory Courses in Colleges

Ideological and political education activities are promoted in a certain period of time. The teachers of ideological and political theory courses in colleges and universities are also in a certain period of time and are subject to time constraints. Due to the contradictions between the delay of value revelation and the unilinearity of natural time, conflicts between the regularity of institutional time and the rheology of life time, and incompatibility between the idleness of virtual time and the tightness of classroom time, ideological and political theory teachers are currently stuck in a certain time dilemma, which is mainly manifested in: Teachers of ideological and political theory courses in colleges and universities have a low sense of short-term gain, and the pressure of ideological and political education time preemption increases sharply, and the countdown of institutional time increases the pressure. In order to help ideological and political theory teachers to face the time dilemma, it is necessary to improve the time quality of ideological and political theory teachers, perfect the evaluation system of ideological and political education, put ideological and political education on life time.