Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Joint Health Following Oral Administration of Glycosaminoglycans with Native Type II Collagen in a Rabbit Model of Osteoarthritis

Simple Summary Osteoarthritis is an incurable chronic disease. For this reason, new therapies are constantly emerging to improve clinical signs and the quality of life of our pets. Chondroitin sulfate, glucosamine and hyaluronic acid have been proven effective and are the most widely used in many formulations. In the present study, adding native type II collagen to the combination of chondroitin sulfate, glucosamine and hyaluronic acid showed improvements on osteoarthritis progression in an experimental model of osteoarthritis induced by transection of the cranial cruciate ligament of the knee in New Zealand white rabbits. Disease progression was monitored at different time points using magnetic resonance imaging biomarkers, measurement of hyaluronic acid in synovial fluid, and macroscopic and microscopic evaluations of cartilage, synovial membrane and subchondral bone. Overall, our results showed that adding native type II collagen to a combination of glycosaminoglycans allows a significantly slower osteoarthritis progression, compared to glycosaminoglycans alone. Abstract A prospective, experimental, randomized, double blinded study was designed to evaluate the effects of glycosaminoglycans, with or without native type II collagen (NC), in an osteoarthritis model induced by cranial cruciate ligament transection. The following compounds were tested: chondroitin sulfate (CS), glucosamine hydrochloride (GlHCl), hyaluronic acid (HA) and NC. Fifty-four female 12-week-old New Zealand rabbits were classified into three groups: CTR (control–no treatment), CGH (CS + GlHCl + HA) and CGH-NC (CS + GlHCl + HA + NC). Each group was subdivided into three subgroups according to survival times of 24, 56 and 84 days. Over time, all rabbits developed degenerative changes associated with osteoarthritis. CGH-NC showed significantly improved values on macroscopic evaluation, compared to CTR and CGH. Microscopically, significantly better results were seen with CGH and CGH-NC, compared to CTR, and synovial membrane values were significantly better with CGH-NC compared to CGH. A significant improvement in magnetic resonance imaging biomarkers was also observed with CGH-NC in cartilage transversal relaxation time (T2) and subchondral bone D2D fractal dimension in the lateral condyle. In conclusion, our results show beneficial effects on joint health of CGH and CGH-NC and also supports that adding NC to CGH results in even greater efficacy.
Explicit Model Predictive Control for Large Inertia Servo System

This paper aims at improving the dynamic response and control precision of large inertia servo system with time-varying loading disturbance by using the scheme of explicit model prediction control(EMPC). The dynamic model of the large inertia servo system was directly established,the loading disturbance was observed by the dual unscented Kalman filter(DUKF) and the constraints such as system performance,input and braking power were considered.Thus,the EMPC control strategy was realized.The experimental results show that the response time is reduced with satisfactory control precision and the expected performance has been achieved.
Early Childhood Focused Consultation in School Psychology: Examining Current Practice, Identifying Future Opportunities

ABSTRACT Enrollment in early childhood education has significantly increased over time. Due to the intersection of training that school psychologists possess (e.g., consultative, educational, mental health) and their presence within early education settings, there is great opportunity for scholarship that explores how school psychologists support young children. This special issue offers a compendium of scholarly work reflecting the contemporary role of school psychologists using consultation to provide a broader range of supports in early childhood settings. The introduction outlines the need for consultative approaches when working in early childhood settings and provides a brief overview of each article featured in the special issue. It is our hope that this special issue is a critical next step in the implementation of a comprehensive service delivery model in early childhood settings where consultative approaches are the primary mechanism used to support the educational short-term and long-term needs of young children and their families.
Combined laryngeal cleft injection laryngoplasty and salivary botulinum toxin for saliva aspiration

Children with type I laryngeal clefts and sialorrhea can have posterior drooling, aspiration of oral secretions, and respiratory complications. Laryngeal cleft injection laryngoplasty (LCIL) and salivary botulinum injections (Sal‐Bot) have been used separately for short‐term treatment of type I laryngeal clefts and sialorrhea. Our goal was to evaluate combined LCIL and Sal‐Bot and create recommendations for further treatment based on response to initial treatment.
Wideband EMI signatures of conductive pipes and wires

Detecting and mapping underground utilities remains a problem in the United States. Poor and outdated utility maps can lead to difficulty locating buried infrastructure. Aging and poorly maintained utility infrastructure can leak or fail, endangering public safety and the environment. Many geophysical sensing techniques have been used to locate and map buried infrastructure, including: acoustic methods, ground penetrating radar, passive magnetic fields, and low frequency electromagnetic fields – each with its own advantages and pitfalls. Our previous work has focused on exciting linear currents on PEC thin wires using 100-1000 kHz electric fields and observing the secondary magnetic field response of these wires. This paper extends that work and investigates the wideband electromagnetic signature of pipes in the ground. The effects of pipe material and inhomogeneity are examined by using the Method of Moments (MoM) and the Method of Auxiliary Sources (MAS). The surface-impedance boundary condition (SIBC) is used to account for the finite conductivity of the pipe.
PipePrune: Pipeline Parallel Based on Convolutional Layer Pruning for Distributed Deep Learning

Benefitting from the combination of the idea of pipeline with model parallelism and data parallelism, pipeline parallelism improves the efficiency of distributed deep learning systems significantly. However, suffering from the bubbles and gaps caused by the imbalance of different stages in pipeline, it can not output ideal performance yet. To explore the potential of pipeline parallelism further, we propose a novel approach called PipePrune, which adds a convolutional layer pruning strategy to pipeline creatively to reduce the bubbles and gaps. For the convolutional layers with heavy overheads, some unimportant kernels are pruned by the measurement of the L1-norm. This approach makes the processing overheads of different pipeline stages more balanced. The experimental results show that, compared with state-of-the-art pipeline methods, PipePrune can improve the training speeds obviously (e.g. for ResNet50 on ImageNet, about 30% speed improvement is realized with only 1.1% loss of training accuracies).
LOCATION DISCOVERY OF VECTOR DATA UPDATE DRIVEN BY MAP IMAGE TILES FOR NATIONAL GEO-INFORMATION SERVICE PLATFORM

Abstract. With the popularization of geographic information data applications, new requirements are put forward for the rapid update of vector data. The overall update of vector data is expensive and time-consuming. Therefore, we need to use various technical means to intelligently sense the changes of geographical entities and realize the active monitoring of the changes of vector data. In this paper, the building layers that are closely related to human beings and gradually become active geographic entities with the urbanization process are selected to monitor the location of the vector data to be updated. This paper first trains the model using single building layer tiles and image tiles. Then, based on the trained model, the location where the building layer tiles are inconsistent with the image tiles is found in the area to be detected. According to different situations, we set different thresholds to find the position to be updated in the vector data. After manual discrimination, the overall accuracy of the method proposed in this paper is 89%. This paper provides new insights into the update discovery of vector data. In addition, by further improving the boundary accuracy of extracted buildings, the extracted building results can be directly applied to the fusion update of vector data.
Triclosan: A Small Molecule with Controversial Roles

Triclosan (TCS), a broad-spectrum antimicrobial agent, has been widely used in personal care products, medical products, plastic cutting boards, and food storage containers. Colgate Total® toothpaste, containing 10 mM TCS, is effective in controlling biofilm formation and maintaining gingival health. Given its broad usage, TCS is present ubiquitously in the environment. Given its strong lipophilicity and accumulation ability in organisms, it is potentially harmful to biohealth. Several reports suggest the toxicity of this compound, which is inserted in the class of endocrine disrupting chemicals (EDCs). In September 2016, TCS was banned by the U.S. Food and Drug Administration (FDA) and the European Union in soap products. Despite these problems, its application in personal care products within certain limits is still allowed. Today, it is still unclear whether TCS is truly toxic to mammals and the adverse effects of continuous, long-term, and low concentration exposure remain unknown. Indeed, some recent reports suggest the use of TCS as a repositioned drug for cancer treatment and cutaneous leishmaniasis. In this scenario it is necessary to investigate the advantages and disadvantages of TCS, to understand whether its use is advisable or not. This review intends to highlight the pros and cons that are associated with the use of TCS in humans.
Improvement of breakdown voltage and off-state leakage in Ge-implanted SOI n-MOSFETs

This work demonstrates a well-controlled technique of channel defect engineering, by implanting Ge into the SOI device channel to act as a minority carrier lifetime killer in order to reduce the parasitic bipolar effect and thus improve the source-to-drain breakdown voltage. The Ge-implant also serves the dual purpose of creating Si structural defects in the back interface region which reduce the back channel off-state leakage. <<ETX>>
The Presence of Mycobacterium leprae in Wild Rodents

Leprosy is a chronic infection caused by Mycobacterium leprae. There is a lack of data regarding environmental reservoirs, which may represent a serious public health problem in Brazil, especially in the state of Pará, which occupies the fourth position in incidence of cases in the country. Previous studies report evidence of infection occurring among armadillos, mangabei monkeys, and chimpanzees. In the present study, wild animals were captured and tested for the presence of anti-PGL-1 antibodies and M. leprae DNA. Fieldwork was carried out from October to November of 2016 in the cities of Curionópolis and Canaã dos Carajás, southeast of Pará state. Small and medium-sized wild animals were captured using appropriate traps. A total of 15 animals were captured. Sera and viscera fragments were collected and tested by ELISA and PCR methods. The presence of M. leprae DNA was confirmed by sequencing of specific gyrase gene in three animals of two different species, including one Necromys lasiurus (liver sample) and two Proechimys roberti (kidney and liver samples). This unprecedented finding suggests that species other than those previously reported are responsible for maintaining M. leprae in nature.
Driver Lane Change Intention Recognition Based on Attention Enhanced Residual-MBi-LSTM Network

Accurate identification of lane-changing intention can effectively assist intelligent driving vehicles in terms of decision-making and trajectory planning, which plays a significant role in enhancing driving safety by reducing traffic accidents caused by lane-changing. Based on the trajectory characteristics and vehicle interaction information, an attention-enhanced bidirectional multi-layer residual long-short term memory neural network (Attention Enhanced Residual-MBi-LSTM) model is proposed for lane change intention recognition in this paper. Firstly, an EWMA filter is employed to smooth the noisy data collected from the vehicle. Then a four-layer bidirectional residual LSTM memory (Residual-MBi-LSTM) structure is used to extract lane-changing features from the historical driving trajectories of ego-vehicle and vehicle interaction information. Besides, the attention mechanism is added to adjust the weight of data in different time frames. After that, the current lane-changing probability is calculated and output by the Softmax function. Finally, the vehicle lane-changing intention recognition model is firstly trained and then verified in the HighD dataset. According to the HIL experiment, the proposed model has the ability to identify driver intention on average of 2.07 seconds in advance.
Overdetection of Breast Cancer

Overdetection (often referred to as overdiagnosis) of cancer is the detection of disease, such as through a screening program, that would otherwise remain occult through an individual’s life. In the context of screening, this could occur for cancers that were slow growing or indolent, or simply because an unscreened individual would have died from some other cause before the cancer had surfaced clinically. The main harm associated with overdetection is the subsequent overdiagnosis and overtreatment of disease. In this article, the phenomenon is reviewed, the methods of estimation of overdetection are discussed and reasons for variability in such estimates are given, with emphasis on an analysis using Canadian data. Microsimulation modeling is used to illustrate the expected time course of cancer detection that gives rise to overdetection. While overdetection exists, the actual amount is likely to be much lower than the estimate used by the Canadian Task Force on Preventive Health Care. Furthermore, the issue is of greater significance in older rather than younger women due to competing causes of death. The particular challenge associated with in situ breast cancer is considered and possible approaches to avoiding overtreatment are suggested.
Patient-Derived Training Simulator for Image-Guided Adaptive Brachytherapy of Locally Advanced Cervical Cancers: Development and Initial Use

Image-guided adaptive brachytherapy (IGABT) using intracavitary and interstitial (IC/IS) techniques plays a pivotal role in definitive radiotherapy for locally advanced cervical cancers. However, the training opportunities for interstitial needle application are limited, preventing this technique from becoming widespread. This study aimed to develop a training simulator for IC/IS brachytherapy. The simulator consists of a soft silicone tumor phantom and acrylic tube mimicking the vagina; it has high visibility because of translucent materials and is compatible with computed tomography (CT) and magnetic resonance imaging (MRI). A patient harboring a typical bulky and irregular-shaped cervical tumor was selected from 495 in-house IGABT-treated candidates, and a tumor phantom (68 × 49 × 45 mm) modeled on this patient was produced from three-dimensional real-scale measurements of the MRI-based high-risk clinical target volume at first brachytherapy. In trial use by two physicians with different levels of IGABT skills, a Fletcher-Suit Asian Pacific applicator, and a Venezia applicator with interstitial needles were nicely applied to the simulator, facilitating successful creation of CT-based treatment plans consistent with clinical practice. Thus, the training simulator can be useful for the training of IC/IS brachytherapy, and warrants further research employing a greater number of phantoms and practitioners to verify its educational value.
Clinical and Prognostic Values of DNMT3B Expression in Hepatocellular Carcinoma

De novo methylation is occurred frequently during the early embryogenesis and is faithfully copied following DNA replication at each cell cycle [1]. DNA methylation is involved in many embryonic developments, biological processes, and cell differentiation [2]. The dysregulation of DNA methyltransferases (DNMTs) and subsequent aberrant DNA methylation is a key feature of human malignancies [3,4]. DNMT1, DNMT3A, and DNMT3B are the enzymatic players of DNA methylation [1,2]. DNMT3B overexpression is frequently found in tumors, especially in 30% of breast cancers [5,6]. And it result into variation in the targeting efficiency and abnormal catalytic activity contributing to cancer development and progression. Therefore, DNMT3B may act as an oncogene, and its overexpression induces an unfavorable prognosis [3-6]. Hepatocellular carcinoma (HCC) is a majority of human cancers in worldwide, and is a leading cause of death in Korea [7,8]. Recent studies about HCC showed an alteration of DNA methylation by dysregulation of DNMT3B [9,10]. Yu et al. described that telomerase reverse transcriptase (TERT) regulates DNMT3B expression in HCC and their co-operation may predict a poorer prognosis [11]. Recent advances in genomic profiling using next-generation sequencing have made it possible to identify the genetic characteristics of cancer. Large-scale cancer genome studies such as The Cancer Genome Atlas (TCGA) used to investigate genes in different cancer types [12]. However, clinicopathopISSN 2092-8335 · eISSN 2733-5380 Keimyung Med J 2021[Epub ahead of print] https://doi.org/10.46308/kmj.2022. 00045 Original Article
Evaluation of lake sedimentary ancient
 DNA
 metabarcoding to assess fungal biodiversity in Arctic paleoecosystems

Fungi are crucial organisms in most ecosystems as they exert ecological key functions and are closely associated with land plants. Fungal community changes may, therefore, help reveal biodiversity changes in past ecosystems. Lake sediments contain the DNA of organisms in the catchment area, which allows reconstructing past biodiversity by using metabarcoding of ancient sedimentary DNA. We re- evaluated various commonly used metabarcoding primers, and we developed a novel PCR primer combination for fungal metabarcoding to produce a short amplicon, thus accounting for amplification bias due to the degradation of ancient DNA. In silico PCRs showed higher diversity using this new primer combination, compared with previously established fungal metabarcoding primers. We analyzed data from sediment cores from four artic and one boreal lake in Siberia. These cores had been stored for 2– 22 years after coring; we, therefore, examined the degradation effects of ancient DNA and storage time- related bias affecting fungal communities. Amplicon lengths showed considerable variation within and between the major divisions of fungi, for example, amplicons of Basidiomycota were significantly longer than those of Mucoromycota; however, we observed no significant effect of sample age on amplicon length and GC content, suggesting the robustness of our results. We also found no indication of post- coring fungal growth during storage regarding the proportions of common mold taxa, which would otherwise distort conclusions on past fungal communities. Terrestrial soil fungi, including mycorrhizal fungi and saprotrophs
Modelo de dos dimensiones del compromiso organizacional: Aproximación teórica al modelo de Cohen

El modelo de dos dimensiones del compromiso organizacional de Cohen (2007) propone que un empleado posee predisposición a generar compromiso al ingresar a una empresa y tiempo después se consolida el compromiso como actitud. Sin embargo, en dicho modelo el autor no profundiza en el desarrollo teórico de las variables que intervienen en el proceso. Por ello, en el presente trabajo se pretende complementar el sustento teórico de las variables incluidas en el modelo. Se realizó una revisión teórica que comprendió las variables incluidas en el modelo de dos dimensiones. La complementación teórica del presente trabajo proporciona el sustento a las variables incluidas en el modelo que explican el mecanismo que genera al compromiso organizacional en sus dimensiones afectiva e instrumental.
Characteristic Model and Efficient FDTD-SPM Algorithm for Fishnet Metasurfaces Analysis

Intelligent metasurfaces to create smart electromagnetic environments have attracted a surge of interest. The multiscale property of metasurfaces results in a huge computational challenge, further hindering their engineering development. Our previous paper has developed a fast FDTD algorithm for patch-like metasurfaces analysis using the Surface Susceptibility Model (SSM). This study extends that to efficient fishnet-like metasurfaces analysis using the Surface Porosity Model (SPM), a useful complement to SSM. We introduce the SPM to FDTD, replacing brute force simulations, to accelerate fishnet-like metasurfaces analysis. At last, we conduct a series of numerical experiments, demonstrating that the proposed FDTD-SPM algorithm greatly reduces the number of computational meshing lattices and the consumed time.
The effect of supplemental oxygen on 6-minute walk test in chronic obstructive pulmonary disease patients

Introduction: Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disease that associated with abnormal airflow during respiration. It has been demonstrated that supplemental oxygen used in the time of exercise testing has a considerable positive effect in cases with COPD. Objectives: Present study was aimed to investigate the possible effects of supplemental oxygen on the outcomes of 6-minute walk test (6MWT). Patients and Methods: COPD cases were randomly divided into two groups (n= 50/each). Group1; patients who received nasal oxygen during the 6MWT, and group two were patients who did not receive supplemental oxygen during the test. Results: The Shapiro-Wilk test showed that the distribution of all parameters in two groups followed the normal distribution. The total distance walked was 431.54±40.76 m in the intervention group and 399.08±49.94 m in the control group, with a significant difference between the two groups (P= 0.001). After 6MWT, the mean of SpO2 in the intervention group was significantly higher than the control group (P= 0.002) and the degree of dyspnea was significantly lower than the control group (P= 0.031). Conclusion: Overall, supplemental oxygen has significant positive effects in COPD patients, but definitive commentary is needed for further studies. Trial registration: The trial protocol was approved by the Thai Clinical Trials Registry (identifier: TCTR20220122001; https://www.thaiclinicaltrials.org, ethical code; IR.MUI.MED.REC. 1396.308.3).
Inshot Video and Science Learning Outcomes: The Concept of the Human Circulatory System

The ability of students to ask or answer questions from the teacher is generally not based on reasoning. Therefore, we need a way to help the development of student reasoning by using empowering thinking through questions (PBMP). Therefore, students gain knowledge from the teacher and are actively involved in the science learning process. This study aimed to determine students' science learning outcomes using the PBMP model with the assistance of the Inshot video. This type of research is quasi-experimental. The participants in this study were 70 students, with 35 for the experimental group and 35 students for the control group. The results showed that learning outcomes with the PBMP strategy were higher with an average score of 81.00 compared to conventional ones with 57.05. Meanwhile, the ANCOVA test results showed a significant difference between student learning outcomes using the PBMP and conventional models. Thus, the PBMP model combined with the Inshot video can be recommended for improving student learning outcomes.