Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Stabilization Procedures on Sports Discipline and Performance Level in Non-Elite Athletes after Acute Syndesmotic Injury: A Prospective Randomized Trial

Background: Suture button devices for tibiofibular syndesmosis injuries provide semirigid dynamic stabilization. The effect of stabilization procedures on sports discipline and performance level in non-elite athletes after acute syndesmotic injury has not been clarified in sports medicine research to date. Methods: A total of 47 of 56 eligible patients were analyzed and completed the 1-year follow-up. The average age was 35.5 years (range, 18–60 years). The screw fixation and knotless suture button groups comprised 26 and 21 patients, respectively. Nine patients were lost to follow-up. Patients underwent clinical and radiological evaluations preoperatively and twice during the 1-year postoperative follow-up. Function was measured using the FADI sports scale, the FAAM sports module, and a visual analogue scale for pain and function in sports. Questionnaires were completed to assess preoperative and postoperative sports levels and to evaluate the sports discipline. Results: All scores increased during the follow-up, but no significant differences were found in the FADI score, the FAAM sports module score and or the VAS score for pain and function during sport (p ≤ 0.05). Using Spearman’s rank correlation coefficient, we found no significant correlation between the groups for age, injury mechanism, or body mass index. Differences were identified in sports discipline and performance level between the groups during the follow-up period. Conclusion: No statistically significant differences could be demonstrated between the two stabilization methods in terms of return to previous sport level and return to the original sport discipline, so both procedures can be regarded as equivalent at present.
Interactive Editing of Voxel-Based Signed Distance Fields

Signed distance functions computed in discrete form from given RGB-D data as regular voxel grids can represent manifold shapes as the zero crossing of a trivariate function; the corresponding meshes can be derived by the Marching Cubes algorithm. However, 3D models automatically reconstructed in this way often contain irrelevant objects or artifacts, such as holes or noise, due to erroneous scan data and error-prone reconstruction processes. This paper presents an approach for interactive editing of signed distance functions, derived from RGB-D data in the form of regular voxel grids, that enables the manual refinement and enhancement of reconstructed 3D geometry. To this end, we combine concepts known from constructive solid geometry, where complex models are created from simple base shapes, with the voxel-based representation of geometry reconstructed from real-world scans. Our approach can be implemented entirely on GPU to enable real-time interaction. Further, we present how to implement high-level operators, such as copy, move, and unification.
Most Influential Factors Affecting International Trade Flows: Bangladesh Context

A country cannot go well without involving international trade because of the interconnected world economy. Every nation involves international trade for its economic welfare and some factors influence a lot to involve international trade. The influencing factors are factor endowments, trade policies, exchange rate, inflation rate, disposable income, and others. Bangladesh is doing well in international trade in recent years compared to eighty's decade, although the country is experiencing a negative trade balance regularly. The low-cost labour is an important influential factor that the country is using efficiently. National and intentional trade policies are influencing a lot of the international trade, for example, Venezuela, North Korea, Iran, and some other countries cannot involve in international trade expectedly due to the sanction of the USA. The economic diplomacy of Bangladesh is helping a lot but it could have improved. The inflation rate of Bangladesh was stable after 2012 which helps to maintain the international trade balance. Besides, the Exchange rate and foreign currency reserve are the motivational factors of international trade because domestic currency value is an important determinant of international trade. Bangladeshi BDT maintains an almost stable exchange rate with USD but after COVID-19 the rate fluctuated at a lower rate. To involve in international trade, there is no opportunity to avoid the influence of these factors or elements. Keywords: International Trade, factor endowments, trade policies, exchange rate, inflation rate, disposable income.
Development and transdifferentiation into inner hair cells require Tbx2

Abstract Atoh1 is essential for the development of both outer hair cells (OHCs) and inner hair cells (IHCs) in the mammalian cochlea. Whereas Ikzf2 is necessary for OHC development, the key gene required for IHC development remains unknown. We found that deletion of Tbx2 in neonatal IHCs led to their transdifferentiation into OHCs by repressing 26.7% of IHC genes and inducing 56.3% of OHC genes, including Ikzf2. More importantly, persistent expression of Tbx2 coupled with transient Atoh1 expression effectively reprogrammed non-sensory supporting cells into new IHCs expressing the functional IHC marker vGlut3. The differentiation status of these new IHCs was considerably more advanced than that previously reported. Thus, Tbx2 is essential for IHC development and co-upregulation of Tbx2 with Atoh1 in supporting cells represents a new approach for treating deafness related to IHC degeneration.
Exploring the necessity of mosaicking for underwater imagery semantic segmentation using deep learning

Deep learning applications are attracting considerable interest nowadays and image analysis pipelines are no exception. Benthic studies often rely on the subjective evaluation of video material recorded using underwater drones. The demand for automatic image segmentation and quantitative evaluation arises due to the large volume of video data collected. This study performed a semantic segmentation task by training the PSPNet architecture with ResNet-34 backbone for 50 epochs using imagery prepared by simply extracting a few video frames or stitch- ing a multitude of frames into a large 2D mosaic. Mosaicking is a particularly resource-intensive step, therefore, the possibility to skip such preprocessing would result in a more rapid analysis. The effect on the resulting seg- mentation quality was investigated by estimating the seabed coverage of three classes (Furcellaria lumbricalis, Mytilus edulis trossulus, and boulders) in a video material obtained from the Baltic Sea. Segmentation success, measured by intersection over union, varied between 0.56 and 0.84, usually slightly better for frames than for the mosaic overall. Absolute differences in estimated coverage were negligible (mosaic vs. frames): 0.24% vs. 1.26% for furcellaria, 0.44% vs. 2.46% for mytilus, and 4.02% vs. 2.06% for boulders. Due to the differences between predicted coverage and the mosaic-based ground truth being in an acceptable range, the findings suggest that the mosaicking step could be safely skipped in favor of a few equally spaced sample frames.
The Characteristics Analysis of a Microfluid-Based EGFET Biosensor with On-Chip Sensing Film for Lactic Acid Detection

In this research, a microfluid-based extended gate field-effect transistor (EGFET) biosensor with an on-chip sensing window (OCSW) was fabricated. The detection window was composed of six metal layers, and a ruthenium dioxide (RuO2) film was spattered on the surface and functionalized with lactase to detect lactic acid (LA). To detect LA in a more diversified way, a microfluidic system was integrated with the biosensor. Moreover, a special package was used to seal the sensing window and microfluidic tube and insulate it from other parts to prevent water molecule invasion and chip damage. The sensitivity analysis of the EGFET biosensor was studied by a semiconductor parameter analyzer (SPA). The static and dynamic measurements of the EGFET with sensing windows on a chip were analyzed. The sensing characteristics of the EGFET biosensor were verified by the experimental results. The proposed biosensor is suitable for wearable applications due to the advantages of its low weight, low voltage, and simple manufacturing process.
Writing One’s Own Obituary: Student Reflections on an Assignment in a Positive Psychology Class

Writing one’s own obituary has been promoted as a means to feel less anxiety regarding death and, as an experiential educational exercise, to clarify one’s values and goals and crystalize one’s professional visions. This study examined students' responses to engaging in an exercise that involved writing one’s own obituary as part of a college course in positive psychology. We conducted a qualitative content analysis of 97 assignments using a grounded theory approach. Students reported that they wanted to be remembered for positive personal characteristics and making a difference in people’s lives. Elements of a satisfying life included achievements both in the personal realm, as well as contributions to others and the world. Importantly, student reflections on the assignment indicated that they acknowledged that it was valuable in serving as a motivator to strive towards an ideal self, although some made comments relating to downplaying the role of achievements. Our findings contribute to prior literature exploring how psychology students interact with and benefit from experiential exercises in the classroom. They also provide much-needed insights into the subjective experiences of individuals engaging in this well-known positive psychology intervention.
Sex-dependent increase of movement activity in the freshwater isopod Asellus aquaticus following adaptation to a predator-free cave habitat

Abstract Populations experiencing negligible predation pressure are expected to evolve higher behavioral activity. However, when sexes have different expected benefits from high activity, the adaptive shift is expected to be sex-specific. Here, we compared movement activity of one cave (lack of predation) and three adjacent surface (high and diverse predation) populations of Asellus aquaticus, a freshwater isopod known for its independent colonization of several caves across Europe. We predicted 1) higher activity in cave than in surface populations, with 2) the difference being more pronounced in males as they are known for active mate searching behavior, while females are not. Activity was assessed both in the presence and absence of light. Our results supported both predictions: movement activity was higher in the cave than in the surface populations, particularly in males. Relaxed predation pressure in the cave-adapted population is most likely the main selective factor behind increased behavioral activity, but we also showed that the extent of increase is sex-specific.
A Qualitative Study of Parental Perceptions of Baby Food Pouches: A Netnographic Analysis

Globally, a recent phenomenon in complementary feeding is the use of squeezable baby food pouches. However, some health agencies have raised concerns about their possible long-term health effects. The aim of this study was to describe parental perceptions of the use of baby food pouches during complementary feeding (i.e., the transition from an entirely milk-based diet to solid foods) using a netnographic analysis of discussions on publicly available forums. In this study, the community was parents of young children. Six parenting forums were identified through a Google search using defined selection criteria. Discussion threads relating to baby food pouches were collected and imported into NVivo12 for thematic analysis via inductive reasoning. Perceptions of baby food pouches fell within two broad categories—benefits and concerns. The most commonly reported themes related to benefits were: convenience, health, baby enjoys, variety, and cost; whereas the most common concerns reported were: health, cost, lack of dietary exposure, dependence, and waste. Many parents reported both benefits and concerns. Once research has determined the long-term effect of using pouches on infants’ health regarding eating habits, nutritional status, growth, and development, the findings of this study can inform educational strategies to either encourage or discourage their use.
Counteractive Effects of Choline Geranate (CAGE) ILs and Ethanol on Insulin’s Stability—A Leap Forward towards Oral Insulin Formulation

Choline geranate (CAGE) ionic liquids (ILs) stabilize insulin, thereby aiding its oral delivery, whereas ethanol (EtOH) affects its stability by disrupting the hydrophobic interactions. In this study, cognizance of the stabilization mechanism of insulin dimer in the presence of both CAGE ILs and EtOH mixtures is achieved through biased and unbiased molecular dynamics (MD) simulations. Here, two order parameters are employed to study the insulin dimer dissociation using well-tempered metadynamics (WT-MetaD). The stability of insulin is found to be strongly maintained until a 0.20 mole fraction of EtOH. Besides, higher concentrations of EtOH marginally affect the insulin stability. Moreover, geranate anions form a higher number of H-bonding interactions with water molecules, which aids insulin stabilization. Conversely, the addition of EtOH minimizes the water-mediated H-bonding interactions of geranate. Additionally, geranate traps the EtOH molecules, thereby preventing the interactions between insulin and EtOH. Furthermore, the free energy landscape (FEL) reveals the absence of dimer dissociation along with noticeable deviations in the distances R and the number of contacts Q. The dimerization free energy of insulin was calculated to be −16.1 kcal/mol at a 0.20 mole fraction of EtOH. Moreover, increments in mole fractions of EtOH effectuate a decrease in the insulin stability. Thus, the present study represents CAGE ILs as efficient insulin dimer stabilizes at low concentrations of EtOH.
A comprehensive model for analysis of turbulent natural convection flow in rectangular and trapezoidal enclosures at high Rayleigh numbers > 109

Abstract Turbulent natural convection is dominant mechanism of heat transfer in enclosed cavities. The simulation of transport phenomena in different enclosures is of paramount importance in industrial design and operation. The present research aimed to find the proper model for prediction of heat transfer mechanisms in rectangular and trapezoidal enclosures filled with air (Pr 0.71) in wide range of Five Reynolds averaged Navier-Stokes equations (SA, standard k-ɛ, RNG k-ɛ, standard k-ω, SST k-ω) were solved numerically with finite volume method. The simulation results were fitted to the experimental data so as to reach the proper model for analysis of turbulent natural convection. It was concluded that the kε and kω models can well describe the heat transfer at low and high Ra numbers, respectively, for both enclosures. For prediction of transport phenomena in the entire range of Ra, it is proposed to develop two-equation eddy-viscosity models.
A novel graph neural networks approach for 3D product model retrieval

ABSTRACT With the quick development of intelligent manufacturing technology, increasing of 3D product models data resource raises the need for product models retrieval method that can fully exploit model information, whereas the existing methods only concern geometric information with little or no manufacturing information. Model-Based Definition (MBD) 3D engineering has gained wide popularity in recent times which enables smart manufacturing by attaching product manufacturing information. Its tip orientation to the effective reuse of MBD for reducing development time and creating an efficient digital thread. In this paper, we proposed the MBD-based attribute adjacency graph neural networks (MAAGNN) with attention mechanism. Firstly, the MBD-based attribute adjacency graph (MAAG) is established to fully express the product semantic information, which includes geometric and non-geometric information of the MBD model. Then graph neural network (GNN) is employed to embed the MAAG into continuous vector spaces, and attention mechanism is introduced to adaptively recognize more important features information, which can solve the ambiguity problem caused by blend features such as chamfer. Finally, the model is trained to achieve fast and accurate retrieval of the MBD models. Experiments demonstrate its potential advantages to meet the requirements of engineering applications.
LLSM: A Lifetime-Aware Wear-Leveling for LSM-Tree on NAND Flash Memory

The advancement of nonvolatile memory (NVM) technology reduces the cost-per-unit of solid-state drives (SSDs). Flash memory-based SSDs have become ubiquitous because they provide better performance and energy efficiency than hard disk drives. However, it suffers from wear-out problems caused by the out-of-place updates that limit its lifetime. Log-structured merge tree (LSM-tree) is a level-based data structure that is widely used in many database systems because it eliminates the random write operations to the storage devices. By transferring the random write operations into sequential write operations, the write performance of hard disk drives can be improved. However, LSM-tree is not efficient for SSDs because it is not aware of the access characteristics of flash memory. Moreover, the level-based indexing strategy of the LSM-tree significantly shortens the lifetime of SSDs because the data must be frequently updated due to the compaction operations between different levels. In contrast to many previous works that focus on alleviating the write amplification on SSDs for the database systems implemented by LSM-tree, we propose LLSM, a lifetime-aware wear-leveling for LSM-tree on NAND flash memory with open-channel SSD. By considering the data access frequency of the LSM-tree between different levels, LLSM rethinks the block allocation strategy during the compaction to evenly erase all the blocks of SSD storage devices, prolonging the SSD lifetime. Moreover, a proactive swapping strategy is designed to reorganize the data blocks for resolving the potential wear-leveling issues caused by the behaviors of the LSM-tree. The extensive experiments show that the results of lifetime improvement are encouraging.
Going Underground: What the Natural History Traits of Cave Users Can Tell Us about Cave Use Propensity

Abstract. Amphibians and reptiles use caves in different lithologies and biomes. However, the ecological reasons for such behavior have so far not been investigated in a broad scale. We surveyed 945 Brazilian caves in three biomes (Caatinga, Cerrado, and the Amazon), from which 269 had frogs and reptiles. We classified species of amphibians (34) and reptiles (19) according to natural history traits including habit, activity, diet composition, foraging strategy, and developmental mode (anurans). We used IUCN species distribution maps to predict what species occur in the vicinities of the caves but did not use them to test whether specific life history traits were distributed differently between species using and not using caves. We also tested seasonality and occurrence of bodies of water inside caves used by anurans, as well as the area occupied by man-made building and infrastructure around caves as explanatory factors for cave use intensity. Anurans with direct development were more likely to use caves than those with a tadpole stage. Terrestrial anurans were more likely to use caves than arboreal and semiarboreal anurans. No fossorial, semifossorial, or semiaquatic species used caves. Among reptiles, sit-and-wait foragers were more likely to use caves than active foragers. Semiaquatic and terrestrial reptiles were the most likely to use caves. Anurans were most likely to use caves with perennial bodies of water and during the dry season. Our results indicate that species of the herpetofauna are likely to search for resources in the cave habitat as indicated by the relationship between specific life history traits and cave use.
On the properties of ten strong-lensing systems found in the Sloan Digital Sky Survey

ON THE PROPERTIES OF TEN STRONG-LENSING SYSTEMS FOUND IN THE SLOAN DIGITAL SKY SURVEY Matthew P. Wiesner, M.S. Department of Physics Northern Illinois University, 2010 Michael Fortner, Director Huan Lin, Co-Director In this thesis, we describe a study of ten strong gravitational lenses. These lensing systems were discovered in the Sloan Digital Sky Survey by the Sloan Bright Arcs Survey. We took data on these systems with much better resolution and reduced and calibrated the data. We then studied the properties of the galaxy clusters of which the lenses were a part and the properties of the strong lenses themselves. We present results for the richness (N200), mass (M200) and velocity dispersion of the clusters. We also present results for the Einstein radius, mass and velocity dispersion of the strong lenses. Finally, we find a relation between the Einstein radii and the cluster masses and we compare this relation to the findings of other groups. NORTHERN ILLINOIS UNIVERSITY DEKALB, ILLINOIS DECEMBER 2010 ON THE PROPERTIES OF TEN STRONG-LENSING SYSTEMS FOUND IN THE SLOAN DIGITAL SKY SURVEY BY MATTHEW P. WIESNER © 2010 Matthew P. Wiesner A THESIS SUBMITTED TO THE GRADUATE SCHOOL IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE MASTER OF SCIENCE DEPARTMENT OF PHYSICS Thesis Director: Michael Fortner Thesis Co-director: Huan Lin
Compensation of hard- and soft-iron distortions is magnetometer measurement data

This article presents compensation methods of the adverse effect of Hard and Soft ferromagnetics on MEMS magnetometers indications. The tilts compensation method, for the data obtained from this type of inertial sensors, is thoroughly presented. The technique of the Yaw angle and the influence of ferromagnetic distortions on the value of its estimation are discussed. The calibration procedure and the ferromagnetic influence on the distribution of recorded measurement data are described in detail. Finally, the method of coefficients compensation for simultaneous Hard- and Soft-Iron distortions is presented.
Hospital length of stay for COVID-19 patients: a systematic review and meta-analysis

The length of stay in the hospital for COVID-19 can aid in understanding the disease's prognosis. Thus, the goal of this study was to collectively estimate the hospital length of stay (LoS) in COVID-19 hospitalized individuals. To locate related studies, international databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched. The I2 index, the Cochran Q test, and T2 were used to analyze study heterogeneity. The mean LoS in COVID- 19 hospitalized patients was estimated using a random-effects model. COVID-19's total pooled estimated hospital LoS was 15.35, 95%CI:13.47-17.23; p<0.001, I2 = 80.0). South America had the highest pooled estimated hospital LoS of COVID-19 among the continents, at 20.85 (95%CI: 14.80-26.91; p<0.001, I2 = 0.01), whereas Africa had the lowest at 8.56 8 (95%CI: 1.00-22.76). The >60 age group had the highest pooled estimated COVID-19 hospital LoS of 16.60 (95%CI: 12.94-20.25; p<0.001, I2 = 82.6), while the 40 age group had the lowest hospital LoS of 10.15 (95% CI: 4.90-15.39, p<0.001, I2 = 22.1). The metanalysis revealed that COVID-19's hospital LoS was more than 10 days. However, it appears that this duration varies depending on a number of factors, including the patient's age and the availability of resources.