Miracle-dz/UniFAR-FTUs huggingface dataset:
Accelerated Orthodontics: Getting Ahead of Ourselves With Corticotomy

Corticotomy-assisted orthodontics is an emerging technique that combines orthodontic treatment with selective alveolar corticotomy to accelerate tooth movement and optimize treatment outcomes. This case report presents the successful application of corticotomy-assisted orthodontics in the management of a complex malocclusion. Following a comprehensive orthodontic assessment and treatment planning, corticotomy-assisted orthodontics was selected as the treatment approach. The surgical procedure involved selective alveolar corticotomy in the affected regions, followed by initiation of orthodontic mechanics. The case was closely monitored at regular intervals, and treatment progress was assessed using clinical examination and radiographs. The combined approach led to significantly accelerated tooth movement, a reduction in treatment time, and improved patient satisfaction. This case report underscores the potential benefits of corticotomy-assisted orthodontics in complex cases, providing clinicians with valuable insights into its successful application and the considerations involved in treatment planning and execution. Further research and long-term follow-up are warranted to elucidate the long-term stability and outcomes of this approach.
Sediments of the Yenisei River: monitoring of radionuclide levels and estimation of sedimentation rates

The Yenisei River, one of the largest rivers in the world, is contaminated with artificial radionuclides released by a Russian nuclear facility producing weapon-grade plutonium, which has been in operation for many years. Examination of Yenisei River sediment samples revealed the presence of artificial radionuclides typical of radioactive discharge from the Mining-and-Chemical-Combine (MCC) nuclear facility: isotopes of europium ( 152 Eu, 154 Eu, and 155 Eu), caesium ( 137 Cs and 134 Cs), 60 Co, 90 Sr, and transuranium elements. Maximum radionuclide concentrations in sediments remained high as far as 240 km downstream of the MCC. In sediment cores collected upstream of the MCC, γ-spectrometric measurements registered only one artificial radionuclide, 137 Cs, with a maximum activity of approx. 8 Bq kg -1 dry mass. Sediments of the Yenisei River also contain natural radionuclides. Sedimentation rates in several sections of the Yenisei River were determined using different approaches: the 210 Pb dating method and the ratios of artificial radionuclides ― 137 Cs/ 60 Co and 152 Eu/ 154 Eu. With increasing distance downstream of the city of Krasnoyarsk, sedimentation rates increased from 0.88 cm year -1 to 1.30―1.51 cm year -1 .
Research and analysis of table tennis movement trajectory prediction model based on deep learning

With the development of artificial intelligence and robotics technology, the research and development of table tennis robots can help athletes to practice table tennis as partners, and can also serve as intelligent coaches for professional guidance. The key problem of the development of table tennis robot is the trajectory prediction of table tennis and the prediction of the ball point in the movement. Through the detection, analysis and modeling of the table tennis trajectory in the movement, the movement trajectory is predicted, and then helps the athletes to find out the counterattack strategy through data analysis, so as to carry out deeper tactical training. The main research content of this paper is to build the table tennis trajectory prediction model, first detect the table tennis detection and track the data set, and then establish the table tennis movement trajectory prediction network through LSTM. After the experimental data analysis, the method of this paper can get more accurate prediction results.
Design, Fabrication and Experimental Study Lab on a Chip by Screen Printing for Depressive Substance Analysis

In this research study about lab on a chip with single plate plastic substrate for depressive substance analysis. The lab on chip was designed into two parts which are T-junction electrowetting on dielectric (EWOD) and electrochemical sensor. Both parts were fabricated with screen printing methods. EWOD device was designed to transport very small amounts of analyte droplets. For fabrication, T-junction EWOD was coated using screen printed silver as electrode and spin coated polydimethylsiloxane (PDMS) as dielectric layer in a T-junction layout. The electrochemical sensor was fabricated at the end of T-junction for analysis. Three detectors consist of a screen-printing electrode which are carbon working and counter electrodes, and a silver/silver chloride reference electrode. For analysis, lab on a chip tested performance of electrochemical sensor with cyclic voltammetry for serotonin and norepinephrine. The results revealed that possibility of the microchip can be used to analyze substances related to depression.
Carbon nanotube nanocomposite scaffolds: advances in fabrication and applications for tissue regeneration and cancer therapy

Carbon nanotube (CNT) nanocomposite scaffolds have emerged as highly promising frameworks for tissue engineering research. By leveraging their intrinsic electrical conductivity and valuable mechanical properties, CNTs are commonly dispersed into polymers to create robust, electrically conductive scaffolds that facilitate tissue regeneration and remodeling. This article explores the latest progress and challenges related to CNT dispersion, functionalization, and scaffold printing techniques, including electrospinning and 3D printing. Notably, these CNT scaffolds have demonstrated remarkable positive effects across various cell culture systems, stimulating neuronal growth, promoting cardiomyocyte maturation, and facilitating osteocyte differentiation. These encouraging results have sparked significant interest within the regenerative medicine field, including neural, cardiac, muscle, and bone regenerations. However, addressing the concern of CNT cytotoxicity in these scaffolds remains critical. Consequently, substantial efforts are focused on exploring strategies to minimize cytotoxicity associated with CNT-based scaffolds. Moreover, researchers have also explored the intriguing possibility of utilizing the natural cytotoxic properties of CNTs to selectively target cancer cells, opening up promising avenues for cancer therapy. More research should be conducted on cutting-edge applications of CNT-based scaffolds through phototherapy and electrothermal ablation. Unlike drug delivery systems, these novel methodologies can combine 3D additive manufacturing with the innate physical properties of CNT in response to electromagnetic stimuli to efficiently target localized tumors. Taken together, the unique properties of CNT-based nanocomposite scaffolds position them as promising candidates for revolutionary breakthroughs in both regenerative medicine and cancer treatment. Continued research and innovation in this area hold significant promise for improving healthcare outcomes.
Enhancing rumen microbial diversity and its impact on energy and protein metabolism in forage-fed goats

Introduction This study explores if promoting a complex rumen microbiota represents an advantage or a handicap in the current dairy production systems in which ruminants are artificially reared in absence of contact with adult animals and fed preserved monophyte forage. Methods In order to promote a different rumen microbial diversity, a total of 36 newborn goat kids were artificially reared, divided in 4 groups and daily inoculated during 10 weeks with autoclaved rumen fluid (AUT), fresh rumen fluid from adult goats adapted to forage (RFF) or concentrate (RFC) diets, or absence of inoculation (CTL). At 6 months of age all animals were shifted to an oats hay diet to determine their ability to digest a low quality forage. Results and discussion Early life inoculation with fresh rumen fluid promoted an increase in the rumen overall microbial diversity which was detected later in life. As a result, at 6 months of age RFF and RFC animals had higher bacterial (+50 OTUs) and methanogens diversity (+4 OTUs) and the presence of a complex rumen protozoal community (+32 OTUs), whereas CTL animals remained protozoa-free. This superior rumen diversity and presence of rumen protozoa had beneficial effects on the energy metabolism allowing a faster adaptation to the forage diet, a higher forage digestion (+21% NDF digestibility) and an energetically favourable shift of the rumen fermentation pattern from acetate to butyrate (+92%) and propionate (+19%) production. These effects were associated with the presence of certain rumen bacterial taxa and a diverse protozoal community. On the contrary, the presence of rumen protozoa (mostly Entodinium) had a negative impact on the N metabolism leading to a higher bacterial protein breakdown in the rumen and lower microbial protein flow to the host based on purine derivatives urinary excretion (-17% to -54%). The inoculation with autoclaved rumen fluid, as source of fermentation products but not viable microbes, had smaller effects than using fresh inoculum. These findings suggest that enhancing rumen microbial diversity represents a desirable attribute when ruminants are fed forages in which the N supply does not represent a limiting factor for the rumen microbiota.
Influence of Co-Frequency Interference on Transmission Performance in Satellite Communication

Frequency and orbital resources become more and more tightly, with the rapid deployment and application of low-orbit satellite systems in the world. The potential threat of cofrequency interference between different satellites, or between the different satellite beams for multiple-beam satellite systems. Because of the clear advantage of the short communication distance between the satellite and ground, the loss of the free space and transmission delay are a lot smaller than geo-stationary orbit (GEO) satellites. The superiority from short distance indicates that the transmitted power from the satellite and user-end could be much smaller than the situation of high-order systems. The power reduction is accompanied with the utilizing of high-order modulation method for improving the utilization efficiency of spectrum with the increasing of communication capacity, which is the development trend of satellite communication in future. The degree of co-frequency interference is crucial to the transmission performance of the system. It can provide some references for the analysis of co-frequency interference in future.
The Role of Community-Based Rehabilitation and Community-Based Inclusive Development in Facilitating Access to Justice for Persons with Disabilities Globally

Community-based rehabilitation (CBR) is a multi-sectoral strategy that addresses the human rights and inclusion of persons with disabilities. Justice is a core component within the social pillar of the CBR Matrix, however, there is limited understanding of how CBR and Community-Based Inclusive Development (CBID) programs are implementing this component globally. The CBR Global Network and partners facilitated five online dialogues in different regions of the world to understand current practices and the future of the field as it relates to justice, choice, and power in CBR/CBID. Analysis was completed both deductively and inductively, to explore the trends and issues and any similarities or differences in practice across the regions. Participants discussed (i) challenges in policy implementation and law enforcement; (ii) the role of CBR/CBID programs; (iii) the role of family (as both facilitator and barrier to accessing justice); and (iv) engagement of people with disabilities. Findings detail important experiences of the CBR/CBID stakeholders around the globe, and may inform future funding, practice, and advocacy.
Exploring the Effect of a Film Director’s Gender on Female Film Representation

Many studies have established the prevalence of the underrepresentation and stereotypical representation of female characters in film and its negative implications on viewers. However, other literature suggests that these issues can be ameliorated with the presence of female filmmakers. For instance, studies have compared male and female directors in their representation of female characters in high-grossing films and found stronger representation in female-directed films. However, no study has directly compared male and female directors in the context of independent film. Thus, this study looks to answer “How Do Male And Female Directors Compare In Their Portrayals of Females in Independent Films From 2021? ” using the Bechdel Test and a directed content analysis of female stereotypes/non-stereotypes to compare female representation within three male-directed films and three female-directed films. It finds that while female-directed films are less likely to underrepresent, stereotype, and monolithically represent females, the difference is not substantial. Moreover, female and male directors portrayed their female characters in very similar ways.
Severe Loneliness and Isolation in Nursing Students during COVID-19 Lockdown: A Phenomenological Study

In 2022, COVID-19 continued to spread across the globe, and to stop the spread of the virus and protect people’s health, universities across China continued to remain in a lockdown state. Loneliness is an important topic among college students, and the coronavirus pandemic has exacerbated loneliness. This prolonged school lockdown was unprecedented and it caused severe social isolation and emotional loneliness for students. Few people know how nursing students experience loneliness and find a way through their experience. This qualitative phenomenological study was conducted to reveal the lived experiences of nursing students who indicated COVID-19 lockdown-related loneliness in a previous quantitative survey. We performed 20 semi-structured interviews with nursing students aged 19–23 yrs during their lockdown (April 2022 to June 2022). Our research applied Colaizzi’s seven-step data analysis processes to reveal shared patterns in terms of how nursing students experienced lockdown and found the following four themes: emotional challenges associated with loneliness; causes of loneliness; positive and negative motivation to learn; and accepting solitude and reconstructing real life.
Cross-sectional study of co-occurring addiction problems among high school students in Tunisia.

Background Addictive behaviours are a major public health problem, especially among adolescents, who are susceptible to experiencing multiple co-occurring addictions. Aim To assess the prevalence of addiction problems and co-occurrences of addictive behaviours (substance abuse, problematic video gaming and social media addiction) and disorders among high school students in Sousse, Tunisia. Methodology A cross-sectional study was conducted in 2018 in public high schools, in the urban area of Sousse, Tunisia. A structured self-administered questionnaire was used to obtain relevant information from the students. Statistical analysis was performed using SPSS version 10 and confidence intervals of 95% were calculated. Chi-square test was used to compare qualitative variables and multinomial regression was conducted to determine independent factors related to the number of addictive behaviour co-occurrences. Results Of the 1399 high school students, 60.5% were girls and mean age was 17 ± 2.28 years. Analysis of single addiction problems revealed 20.9% prevalence for all tobacco products, 10.1% for alcohol, 7.0% for all drugs, 36.1% for Facebook, and 35.3% for video games. Analysis of co-occurring addiction problems showed that 46.0% of the study population had 1 addiction problem, 12.2% had 2 addiction problems, 4.5% had 3, and 2.7% had the maximum number of 4 addiction problems. Multinomial regression showed an increase in co-occurrence of addiction problems among boys (aOR = 217.004; P < 0.001), participants who had repeated a school grade (aOR = 0.232; P < 0.001), those who had moderate or severe depression (aOR = 0.232; P < 0.001), and those who were anxious (aOR = 0.335; P = 0.003) and had alexithymia (aOR = 0.361; P = 0.005). Conclusion The rate of co-occurrent addictions among adolescents in Sousse, Tunisia, is alarming. Problematic use of Facebook, gaming and tobacco use were the most frequent addictive behaviours. There is an urgent need for effective and multisectoral programmes to prevent addictions among children in Tunisia and other countries in the Middle East and North Africa Region.
Does Foreign Direct Investment and Trade Openness Support Economic Development? Evidence from Four European Countries

The European Union (EU) as a political and economic union has provided many benefits to its member states through the single market and common tariffs that serves as a platform for internal trade and international trade with third-world countries. The study aimed to investigate the effect of foreign direct investment (FDI) and trade openness on economic development in four selected countries including the Czech Republic, Estonia, Lithuania, and Slovakia using panel data from 1995 to 2021. The data was obtained from the World Bank and analyzed through econometric methods such as pooled model, fixed effect model, random effect model, and the dynamic panel model. The between transformation results using the pooled ordinary least squares indicated that the Czech Republic had the highest intercept coefficient, followed by Slovakia, Lithuania, and Estonia, respectively. The panel specification test discovered that the pooled model was inadequate, and the random effect model is the most appropriate to be used. The results from the random and fixed effects models displayed that FDI and trade openness have a positive impact on economic growth in these countries. Additionally, the dynamic panel outcome proved a positive effect of FDI and trade openness. The study recommends that governments in these countries improve their business environment to attract more FDI and trade relations with other countries.
End-to-End Latency Measurements with Black Box Components

Edge computing has gained substantial attention in both academia and industry due to its ability to facilitate cloud services provision in close proximity to the user and data source, thereby effectively reducing latency. This is particularly important for latency-sensitive or tactile Internet services that cannot tolerate delays caused by transferring workloads to distant cloud computing data centers. User equipment generating workloads for offloading to the edge encompasses a wide range of device types, from small sensors to specialized integrated devices like augmented reality wearables, and even powerful mobile computing devices like smartphones, tablets, or laptops. Since low latency is the foremost factor for utilizing edge computing services, it is imperative to identify and resolve any latency problems that might occur between the user equipment and the edge server. Nevertheless, accurately measuring latency becomes a challenging task when the edge service setting comprises closed black box components or entire systems. For instance, closed user equipment, such as augmented reality wearables, typically do not allow intrusive measurement techniques, and synchronization with other components of the setting is often not possible. To address these challenges, this article proposes a pragmatic end-to-end latency measurement approach specifically designed for edge computing settings with black box components. This approach leverages performance data provided by the Real-Time Control Protocol (RTCP) to obtain accurate latency measurements. The results obtained using this approach are validated through reference scenarios with only white box components, and exemplary latency measurements within an edge computing setting deploying a private 5G network infrastructure are presented.
Interrater variability of ML-based CT-FFR during TAVR-planning: influence of image quality and coronary artery calcifications

Objective To compare machine learning (ML)-based CT-derived fractional flow reserve (CT-FFR) in patients before transcatheter aortic valve replacement (TAVR) by observers with differing training and to assess influencing factors. Background Coronary computed tomography angiography (cCTA) can effectively exclude CAD, e.g. prior to TAVR, but remains limited by its specificity. CT-FFR may mitigate this limitation also in patients prior to TAVR. While a high reliability of CT-FFR is presumed, little is known about the reproducibility of ML-based CT-FFR. Methods Consecutive patients with obstructive CAD on cCTA were evaluated with ML-based CT-FFR by two observers. Categorization into hemodynamically significant CAD was compared against invasive coronary angiography. The influence of image quality and coronary artery calcium score (CAC) was examined. Results CT-FFR was successfully performed on 214/272 examinations by both observers. The median difference of CT-FFR between both observers was −0.05(−0.12-0.02) (p < 0.001). Differences showed an inverse correlation to the absolute CT-FFR values. Categorization into CAD was different in 37/214 examinations, resulting in net recategorization of Δ13 (13/214) examinations and a difference in accuracy of Δ6. 1%. On patient level, correlation of absolute and categorized values was substantial (0.567 and 0.570, p < 0.001). Categorization into CAD showed no correlation to image quality or CAC (p > 0.13). Conclusion Differences between CT-FFR values increased in values below the cut-off, having little clinical impact. Categorization into CAD differed in several patients, but ultimately only had a moderate influence on diagnostic accuracy. This was independent of image quality or CAC.
Statistical Optimization of Process Variables for the Dyeing of Jute with Marigold Petals Using a Dual Mordant System

Natural dye was extracted from the petals of orange-colored marigold flowers in aqueous medium, and extraction process parameters were optimized based on the color yield (optical density) of an aqueous extract of marigold petals. The extracted natural colorant was used to dye jute fabric and characterized by ultraviolet–visible spectroscopy. Extracts from gallnut and natural alum (fitkiri) were applied as mordants onto the bleached jute fabric by padding method followed by drying in air. The fabrics were treated with the mordants separately before dyeing, and then, both mordants were applied in sequence. Jute was premordanted first with gallnut followed by alum. Jute fibers were mordanted prior to dyeing with either gallnut or alum or both mordants (gallnut followed by alum treatment). Premordanted jute fabric was dyed with the natural dye extracted from marigold petals, and process conditions were standardized. The dual-mordanting process was found more effective to produce better color yield than the single mordanting process. Standardization of the process conditions was also examined statistically by the Box–Behnken design method after choosing the significant variables by the Plackett–Burman design method. The standardized dyeing process conditions were found to be dyeing temperature: 90°C; material to liquor ratio: 1:40; dyeing time: 60 min; dye concentration: 30% o.w. f. ; and pH: 11.