Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Silver Diamine Fluoride for Preventing Occlusal Caries in the Primary Teeth of Preschool Children: Protocol for a Randomized Controlled Trial

Background Tooth decay is a significant public health problem globally. The caries-arrest effectiveness of 38% silver diamine fluoride (SDF) has been well documented. However, information on the caries-preventive effect of SDF on primary teeth is insufficient. Objective The aim of this trial is to investigate the effectiveness of semiannual application of 38% SDF and that of 5% sodium fluoride (NaF) varnish when compared with placebo control for preventing occlusal caries in the primary molars of preschool children over 30 months. Methods This 3-arm, parallel design, double-blind, randomized controlled trial involves 791 preschool children. Children are randomly allocated to receive 1 of 3 interventions as follows: Group 1, 38% SDF; Group 2, 5% NaF varnish; and Group 3, placebo control (tonic water). The intervention and dental examination will be carried out every 6 months. A parent-administered questionnaire, including the children’s demographic background and oral health–related behaviors, has been collected at baseline. Follow-up examinations to detect new caries development will be conducted every 6 months by a masked examiner. Caries development will be diagnosed at the cavitation level. Chi-square tests and logistic regression analyses will be adopted. A 2-level logistic regression analysis will be performed to investigate the effects of the study interventions and other potential confounding factors on the development of occlusal caries. Results This study was started on September 1, 2020, and the recruitment process ended on September 30, 2021. At present, a total of 791 children are participating in the study. This 30-month clinical trial is expected to be completed in March 2024. Conclusions If SDF application is more effective than NaF varnish for preventing caries on occlusal surfaces of primary teeth, it can be a preferred choice for caries prevention in a kindergarten-based program. Results of this trial will provide valuable clinical evidence for the development of oral health strategies and policies on the promotion of child oral health. Trial Registration HKU Clinical Registry HKUCTR-2844, https://tinyurl.com/bdhz9yuk; ClinicalTrials.gov NCT05084001, https://clinicaltrials.gov/ct2/show/NCT05084001 International Registered Report Identifier (IRRID) DERR1-10.2196/35145
Latest technologies in criminal investigation (testing of foreign practices in Ukraine)

The aim of the article was to identify a set of innovative technologies in the field of investigation of crimes that can be tested in Ukraine. The leading research methods were the method of comparison, observation and comparative method. The activities of law enforcement agencies in the field of combating crime and ensuring the introduction of innovative technologies in the investigation of crimes were analyzed in the course of this research. It is substantiated that Ukraine is going through high-quality reform and legislative innovations, taking into account the best world practices. It is concluded that it is necessary to improve new sections of forensic science — digital forensics and develop a Strategy for investigating crimes in the digital age. These actions will promote the integration of the latest advances in science and technology into criminology, the development of certain theoretical positions, and optimize the detection and investigation of crimes. Further research will be based on the gradual introduction of positive European experience in this area.
Effect of L-Carnitine on Colour, Digestive Enzymes and Growth of the Electric Yellow Cichlid, Labidochromis caeruleus

This 40-day feeding trial was aimed to determine the effective rate of L-carnitine on the growth of electric yellow cichlid ( Labidochromis caeruleus ) fry (n: 395, initial weight:0,46 g, initial length: 2.5 cm). They were randomly placed in 50 l aquariums. Based on the basal diet (55% crude protein+14% oil), the four experimental diets were designed with supplementation of L-carnitine (0, 500, 1000, 2000 mg/kg). They were fed 10% of their weight every day. Sampling was done at the beginning and the final day of the experiment for digestive enzymes (protease, lipase, amylase), weight and length, body colour and survival rate. The image analysis method was used to determine skin colour. The chemical analysis method was used to determine the activity of enzymes. The results showed that supplementation of 2000 mg/kg of dietary significantly increased weight, length and specific growth rate (P < 0.05). While no change in colour was observed in the control group at the end of the experiment, it was determined that carnitine could have a 27% effect on the colour change of fish in the other groups. Better results were obtained between the L-carnitine groups compared to the control group for in terms of digestive enzymes, while and the difference between the groups was found to be statistically significant (p≤0.05). The results show that L-carnitine did not play an important role in the survival of fish. As a result, the addition of L-carnitine to fish feed positively affects the growth of fish and as expected, the growth of fish increases as the amount of L-carnitine in the feed increases.
Research for smart contract-based problem recommendation algorithm

As a method for learners to learn independently in distance education, the need for a problem recommendation learning guide that effectively reflects a learning pattern based on learner data is increasing. In this paper, based on blockchain Ethereum smart contract technology, we analyze and present problem recommendation patterns for individual learners by filtering, collecting, and transparently managing multiple learner data that can occur in a distance education environment. In this study, various weighting factors were assigned to each learning situation. The optimal problem recommendation path is presented so that learners can solve problems based on weight-based learning factors in various learning situations. For the performance evaluation of this study, a similar learning environment was set up, and learning satisfaction, usefulness of problem recommendation guides, and learner data processing speed were analyzed. As a result of the performance evaluation, it was confirmed that the learning satisfaction improved by more than 15% compared to the existing learning environment in the proposed environment. In addition, it was confirmed that the learning data processing speed was improved by more than 17%.
Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data

Cardio‐mechanic models show substantial promise for improving personalised diagnosis and disease risk prediction. However, estimating the constitutive parameters from strains extracted from in vivo cardiac magnetic resonance scans can be challenging. The reason is that circumferential strains, which are comparatively easy to extract, are not sufficiently informative to uniquely estimate all parameters, while longitudinal and radial strains are difficult to extract at high precision. In the present study, we show how cardio‐mechanic parameter inference can be improved by incorporating prior knowledge from population‐wide ex vivo volume–pressure data. Our work is based on an empirical law known as the Klotz curve. We propose and assess two alternative methodological frameworks for integrating ex vivo data via the Klotz curve into the inference framework, using both a non‐empirical and empirical prior distribution.
Sliding-Window Turbo Equalization and Its Reduced-Complexity Decoding Techniques

Turbo equalization is a cooperative error-correcting approach to achieve a target bit-error rate over inter-symbol interference channels. In this paper, we proposed a new turbo equalization, called sliding-window turbo equalization (SW-TE), consisting of the Bahl-Cocke-Jelinek-Raviv detector and a spatially coupled, low-density, parity-check decoder. Moreover, the Protograph-based Extrinsic Information Transfer (P-EXIT) chart was modified to investigate the asymptotic behavior of SW-TE. Our analyses showed that SW-TE outperformed conventional turbo equalization in terms of decoding threshold. Based on the P-EXIT chart analysis, we further proposed a guideline of the reduced-complexity decoding techniques for SW-TE, eliminating unnecessary branch metric updates during turbo iterative decoding. Our simulations corroborated the analytical results, showing that SW-TE outperformed conventional turbo equalization while maintaining an acceptable level of complexity.
Fostering assigned expatriates’ innovativeness via culturally intelligent supervisors: a resource gain perspective

Abstract Assigned expatriates play a role in the innovations of multinational companies (MNCs). Yet, we still know little about how MNCs can help their expatriates towards being more innovative. In this study, we draw on conservation of resources theory to propose that perceived host country national (HCN) supervisor cultural intelligence (CQ), as a contextual resource, positively influences expatriates’ innovativeness via two personal resource pathways. Specifically, we suggest that expatriates’ work engagement and subsidiary socialization, as corresponding personal energy and personal knowledge pathways, positively mediate between perceived HCN supervisor CQ and expatriate innovativeness. We further hypothesize that expatriate cultural metacognition, as a key resource, helps expatriates utilize contextual resources more effectively to generate personal resources to innovate, and thus, it positively moderates the two mediation pathways. We use time-lagged data collected from assigned expatriates to test our hypotheses. We discuss our theoretical and practical contributions to the international human resource management literature.
Serum Tumor Necrosis Factor-Like Weak Inducer of Apoptosis (TWEAK) Levels Are Decreased in Children with Attention-Deficit/Hyperactivity Disorder.

INTRODUCTION There has been no study in the literature evaluating serum tumor necrosis factor-like weak inducer of apoptosis (TWEAK) levels in attention-deficit/hyperactivity disorder (ADHD). Therefore, we performed the present study to specifically measure serum TWEAK levels to see whether or not its eventual alterations might have an etiopathogenetic significance in children with ADHD. SUBJECTS AND METHODS A total of 49 treatment-naive children with ADHD and 39 healthy controls were included in the present study. The severities of ADHD and conduct disorder symptoms were assessed via parent- and teacher-rated questionnaires. Venous blood samples were collected, and serum TWEAK levels were measured. RESULTS Serum TWEAK levels of the ADHD group were significantly lower than the control group. CONCLUSIONS This study shows that ADHD patients have decreased serum TWEAK levels, suggesting a possible involvement of TWEAK in the etiopathogenesis of ADHD.
Developing all-in-one virus-like particles for Cas9 mRNA/single guide RNA co-delivery and aptamer-containing lentiviral vectors for improved gene expression

Lentiviral vectors (LVs) are widely used for delivering foreign genes for long-term expression. Normal LVs contain the RNA genome, which is reverse transcribed into DNA and integrates into the host genome to mediate long-term gene expression. Recently, virus-like particles (VLPs) were developed for mRNA delivery. In these VLPs, packaging mRNA into the particles is achieved via interactions between the aptamer and aptamer-binding protein (ABP), and mRNA is not reverse transcribed or integrated. These VLPs are useful for delivering Cas9 mRNA for short-term endonuclease expression. Generating high-titer normal integrating LVs is challenging. Until recently, VLPs were not efficient for co-delivering Cas9 mRNA and single guide RNA (sgRNA). By fusing ABP to the N-terminus of HIV Gag protein, hybrid particles were developed to co-deliver Cas9 mRNA and sgRNA. But the method for modifying Gag impaired particle assembly. Previously we found that adding an ABP after the second zinc finger domain of nucleocapsid (NC) protein had minimal effects on particle assembly. Based on this observation, we developed hybrid particles to co-deliver Cas9 mRNA and sgRNA. We further improved LVs for integrated gene expression by including an aptamer sequence in lentiviral transfer plasmids, which improved lentiviral particle production and enhanced LV genomic RNA packaging. In summary, we describe development of new all-in-one VLPs for co-delivery of Cas9 mRNA and sgRNA and new LVs for enhanced vector production and gene expression.
Nearpod as a tool for increasing students’ motivation for learning chemistry

The Nearpod software application was implemented in chemistry teaching, thus keeping in touch with current technology appropriate for its use in the education. This is the first study in our country focusing on the usage of the Nearpod as an e-module-based learning media aimed to increasing students’ motivation in chemistry classes, through their engagement during the lesson and active participation. The total sample consisted of 244 9th grade students and 7 teachers from 7 primary schools. This research was based on data collection by modified SMTSL and IMI questionnaires and individual interviews with students and teachers. The data were analyzed and the mean, standard deviation and Cronbach’ alpha reliability coefficient were calculated, which revealed acceptable internal consistency for all subscales. Data obtained from the APQ-N instrument showed that most of the students found this activity enjoyable and interesting, and felt that it was important for their success and progress, but it also enabled them to achieve better results and improve their attention during the online classes. SMTSL-N questionnaire revealed that the students had medium motivation toward chemistry leaning overall. Independent t-tests results stated that there is no significant difference between male and female students’ mean scores. The results obtained in this study, including the interview data as well, indicated that Nearpod-based activities positively influenced students’ motivation in learning chemistry. Nearpod has a great potential to be applied during the face-to-face teaching as a hybrid model in the future, thus making teaching more interesting and less monotonous.
Desidustat in Anemia due to Dialysis-Dependent Chronic Kidney Disease: A Phase 3 Study (DREAM-D)

Background: A phase 3 study to assess the efficacy and safety of the desidustat, an oral hypoxia-inducible factor prolyl hydroxylase inhibitor, against the epoetin alfa for the treatment of anemia in patients with chronic kidney disease (CKD) with dialysis dependency. Methods: DREAM-D was a phase 3, multicenter, open-label, randomized, active-controlled clinical study conducted across 38 centers in India. A total of 392 patients with clinical diagnosis of anemia due to CKD with dialysis need (Erythrocyte Stimulating Agent [ESA] naïve or prior ESA users) and with baseline hemoglobin levels of 8.0–11.0 g/dL (inclusive) were randomized in a 1:1 ratio to receive either desidustat oral tablets (thrice a week) or epoetin alfa subcutaneous injection for 24 weeks to maintain a hemoglobin level of 10–12 g/dL. The primary endpoint was to assess the change in the hemoglobin level between the desidustat and the epoetin alfa groups from the baseline to evaluation period week 16–24. The key secondary efficacy endpoint was the number of patients with hemoglobin response. Results: The least square mean (standard error) change in hemoglobin from the baseline to week 16–24 was 0.95 (0.09) g/dL in the desidustat group and 0.80 (0.09) g/dL in the epoetin alfa group (difference: 0.14 [0.14] g/dL; 95% confidence interval: −0.1304, 0.4202), which met the prespecified noninferiority margin. The number of hemoglobin responders was significantly higher in the desidustat group (106 [59.22%]) when compared to the epoetin alfa group (89 [48.37%]) (p = 0.0382). The safety profile of the desidustat oral tablet was comparable with the epoetin alfa injection. There were no new risks or no increased risks seen with the use of desidustat compared to epoetin alfa. Conclusion: In this study, desidustat was found to be noninferior to epoetin in the treatment of anemia in CKD patients on dialysis and it was well-tolerated. Clinical Trial Registry Identifier: CTRI/2019/12/022312 (India).
On‐line estimation of power model parameters for skid‐steer robots with applications in mission energy use prediction

This paper presents algorithms to predict the energy used by a skid‐steer robot to complete a given path, including the refinement of that prediction during operation. The vast majority of commercially available ground mobile robots utilize skid‐steer technology due to the robustness and maneuverability of the design. However, the complex track/terrain interactions developed during skid‐steer maneuvers make traction‐related power losses difficult to model. Accurate estimates of skid‐steer power and energy usage enable more intelligent mission planning decisions to be made. In this study, a skid‐steer power model that is linear in three unknown parameters was used and tested extensively on two skid‐steer vehicles, one tracked and the other wheeled. Repeated testing shows good repeatability of estimated parameters, and results indicate that the tracked vehicle exhibits a much larger sensitivity to the surface types tested than the wheeled vehicle. The skid‐steer power model is then combined with a kinematic model of skid‐steer movement and a trajectory control algorithm to predict the energy required to complete a given traversal path. This is useful for estimating energy demands for retro‐traversal, an application demonstrated in this study. The energy predictions are further refined through the mapping of power model parameters onto terrain types using overhead imagery of the area of operation. The maps are used to predict what terrain types will be encountered along the planned path to improve the estimate of the energy required.
A routing method with adaptively adjusting memory information based on local routing history

Finding the shortest paths for packets from sources to destinations in packet-switched communication networks is an inevitable problem in building a future high-speed information society. A routing method with memory information has already been proposed to alleviate the congestion of large volumes of packet flow. This routing method shows a high transmission completion rate even for large volumes of packet flows in communication networks with scale-free properties. However, the method exhibits poor performance for networks with local triangular connections and long distances between nodes. To overcome these problems, in this study, we first enhanced the routing performance of the conventional communication network models by using the betweenness centrality of nodes, which is one of the network centralities that measures the number of shortest paths that pass through each node in the networks. Subsequently, we adaptively changed the transmitting paths of packets by using only local information. Numerical simulations indicated that our routing method performs successfully for various topologies of communication networks by avoiding the congested node, and effectively using the memory information.
Robotic-Assisted Hand Therapy with Gloreha Sinfonia for the Improvement of Hand Function after Pediatric Stroke: A Case Report

Background: Stroke in childhood presents a serious rehabilitation challenge since it leads to physical, cognitive and psychosocial disability. The objective of our study was to describe the effectiveness of robot-mediated therapy (RMT) with Gloreha Sinfonia in addition to a conventional treatment in the recovery of the sensory-motor capabilities of the paretic hand and the quality of life in a ten-year-old child after a stroke. Methods: The girl was enrolled to undergo 10 sessions of RMT with Gloreha Sinfonia. She was evaluated with functional scales and with upper limb kinematic analysis at pre-treatment (T0) and at the end of treatment (T1). Outcome measures were Fugl-Meyer Assessment-Upper Extremity (FMA-UE), Visual Analogic Scale (VAS) and Activities and Participation of Daily Life (ADL). In addition, a Force Assessment System based on Virtual Reality games was used to assess the force control and modulation capability at T0 and T1. Results: At the end of treatment, the patient improved in functional scales and in quality of life for greater involvement in some activity of daily living. Force control and modulation capability significantly increased after the treatment. Conclusions: This clinical case highlights possible positive effects of a combined (conventional plus robotic) rehabilitation treatment for the upper limb in pediatric stroke outcomes from both a sensorimotor and functional point of view, also improving the motivational and affective aspects of the patient and of family members. Further studies are needed to validate these results and to identify the most appropriate modalities and doses.
Sports news relationship extraction based on BERT's BiLSTM and attention

With the development of Internet big data, how people obtain a large amount of news text information and automatically obtain the information they want from the text information is an urgent task. In order to structure and analyze a large amount of Chinese text information on the Internet, this paper proposes an entity extraction method based on the BERT pre-training model and BiLSTM with the Attention Mechanism. Aiming at the problem that the BiLSTM model can only obtain feature information at the sentence context level, but cannot obtain local feature information. In this paper, based on the BiLSTM model, a BERT feature extraction model is added to obtain word vectors containing contextual semantic information, thereby capturing global and local information. At the same time, an Attention Mechanism is added to improve the effect of the model. The model was trained on the 2018 Football World Cup dataset corpus, and it was verified that the precision, F1 value and recall rate of the model have significantly improved performance on the dataset.