Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on High Sensitivity Oil Debris Detection Sensor Using High Magnetic Permeability Material and Coil Mutual Inductance

Metallic contaminants (solid) are generated by friction pair, causing wear of equipment by enters the lubricating system. This poses a great potential threat to the normal operation of such machines. The timely analysis and detection of debris can lead to the avoidance of mechanical failures. Abnormal wear in machinery may produce debris exceeding 10 μm. The traditional inductance detection method has low sensitivity and cannot meet the actual detection requirements. To boost the sensitivity of the inductance sensor, the mutual inductance of coils and the strong magnetic conductivity of permalloy was utilized to design a high sensitivity inductance sensor for the detection of debris in lubricating oil. This design was able to detect 10–15 μm iron particles and 65–70 μm copper particles in the oil. The experimental results illustrate that low-frequency excitation is the best for detecting ferromagnetic particles, while high-frequency excitation has the best effect for detecting non-ferromagnetic particles. This paper demonstrates the significant advantages of coil mutual inductance, and strong magnetic conductivity of permalloy in improving the detection sensitivity of oil debris sensors. This will provide technical support for wear detection in mechanical equipment and fault diagnosis.
Body Composition Assessment in Mexican Children and Adolescents. Part 2: Cross-Validation of Three Bio-Electrical Impedance Methods against Dual X-ray Absorptiometry for Total-Body and Regional Body Composition

The aim of our study was to validate three different bioelectrical impedance analysis (BIA) methods for estimating body composition (BC). First, we generated BIA prediction equations based on the 4-C model as the reference method for fat mass (FM) and fat-free mass (FFM), and on dual X-ray absorptiometry (DXA) estimations of appendicular lean mass (ALM) and truncal fat mass (tFM). Then, we performed cross-validation in an independent BMI-, sex-, and Tanner-stratified sample of 450 children/adolescents. The three BIA methods showed good correlation and concordance with DXA BC estimations. However, agreement analyses showed significant biases, with increasing subestimations of FM and tFM, and overestimations of ALM, by all three BIA methods. In conclusion, the three BIA methods analysed in this study, provide valid estimations of BC for total body and body segments, in children and adolescents who are of a healthy weight, overweight, or obese. It should be noted that this validation cannot be extrapolated to other BIA methods.
Academic Self-esteem as a Buffer Between Negative Youth Experiences and Academic Achievement in African American Adolescents

The study examines if African American adolescents’ academic self-esteem moderates relations between negative youth experiences and academic achievement. Grounded in a PVEST perspective, the study collected responses from 364 Black adolescents (69% girls) in a southern, urban city. The primary finding in the study confirmed the hypothesis that students who report more negative youth experiences would also report lesser achievement and that negative relations would be buffered by the presence of Academic Self-Esteem. The study also outlines sex differences as Black males appear to be more vulnerable to negative youth experiences. Despite reporting more encounters with neighborhood-based discrimination, Black males appear to benefit academically when negative experiences are coupled with high academic self-esteem. The highest achievement in our sample was reported by students with high academic self-esteem who also reported higher instances of negative youth experiences. Intervention efforts and suggestions for future directions are discussed.
Unpaired-paired learning for shading correction in cone-beam computed tomography

Cone-beam computed tomography (CBCT) is widely used in dental and maxillofacial imaging applications. However, CBCT suffers from shading artifacts owing to several factors, including photon scattering and data truncation. This paper presents a deep-learning-based method for eliminating the shading artifacts that interfere with the diagnostic and treatment processes. The proposed method involves a two-stage generative adversarial network (GAN)-based image-to-image translation, where it operates on unpaired CBCT and multidetector computed tomography (MDCT) images. The first stage uses a generic GAN along with the fidelity difference between the original CBCT and MDCT-like images generated by the network. Although this approach is generally effective for denoising, at times, it introduces additional artifacts that appear as bone-like structures in the output images. This is because the weak input fidelity between the two imaging modalities can make it difficult to preserve the morphological structures from complex shadowing artifacts. The second stage of the proposed model addresses this problem. In this stage, paired training data, excluding inappropriate data, were collected from the results obtained in the first stage. Subsequently, the fidelity-embedded GAN was retrained using the selected paired samples. The results obtained in this study reveal that the proposed approach substantially reduces the shadowing and secondary artifacts arising from incorrect data fidelity while preserving the morphological structures of the original CBCT image. In addition, the corrected image obtained using the proposed method facilitates accurate bone segmentation compared to the original and corrected CBCT images obtained using the unpaired method.
Research on mechanics response of asphalt pavement under heavy-duty and un-uniformly distributed loading

Different asphalt mixture pavement structures are chosen,mechanics response is carried out using dynamic modulus through finite element method under six grades of loading.It indicates that asphalt mix layer is the worst location for bearing load.The maximum value of horizontal landscape stress and strain of asphalt layer bottom locate besides the single wheel,the stress of asphalt layer surface is related to the depth and loading,the increase of load.The maximum value of horizontal landscape stress and strain of asphalt layer bottom locate in rim and it′s neighborhood;the maximaum value of shearing stress is related to types of base and depth of asphalt layers,it locates between wheels.All the results can provide an academic evidence for advising design index of asphalt pavement.
Path Analysis of Agricultural Economy Information Construction under the Perspective of Urban-Rural Integration Strategy in the “Internet Plus” Era

China Internet plus rural industrial integration is applied in the era of agricultural informatization in the era of Internet plus urban integration strategy. For many years, the themes of urban-rural integration, agricultural economy, and rural revitalization have been the core topics of China’s economic research. This study fully integrates the above elements and analyzes the development path of rural economic informatization in China’s special environment. Supported by the national strategic direction and related policies such as the integration of urban and rural areas, Internet plus agriculture, agricultural informatization, and rural revitalization, we hope to achieve faster agricultural economic development through the rational optimization of agricultural economic integration and supervision and promotion programs and the use of the existing information platform. The problems of China’s agricultural economic development caused by historical reasons are thoroughly solved. China’s regional agricultural economy should not only be not limited to the large-scale and intensive development of planting, animal husbandry, forestry, and fishery in the primary industry but also should realize the integration of urban and rural areas under the background of economic informatization, develop the secondary and tertiary industries related to agriculture in the agricultural economic zone, let the agricultural economy get rid of the constraints of the development ideas of the primary industry, and let the high value-added characteristics of the secondary industry and the tertiary industry fully contribute to the development of agricultural economy.
Forecasting Model of Shanghai Stock Index based on ALSTM

ALSTM model is proposed to predict the closing price of the Shanghai Composite Index on the next trading day. The ALSTM model prevents model overfitting by improving the forgetting gate of the classical LSTM, introducing a 1-arctan function, and discarding weak data features. This paper uses the daily trading data of the Shanghai Composite Index from January 2, 1991, to July 16, 2021, as the dataset, and uses the RNN, CNN, GRU, and LSTM models as the comparison model of ALSTM to predict the closing price of the Shanghai Composite Index on the next trading day. The experimental results show that the ALSTM model has the best prediction performance compared to other comparison models, where the MAE of the ALSTM model is 28.52, MSE is 2065.25, RMSE is 45.45, and R2 is 0.9811.
Short- and Long-Term Outcomes of Left Main Coronary Artery Stenting in Patients Disqualified from Coronary Artery Bypass Graft Surgery

The study aims to evaluate the short- and long-term outcomes of left main percutaneous coronary interventions (LM PCI) in patients disqualified from coronary artery bypass graft surgery (CABG). We included 459 patients (mean age: 68.4 ± 9.4 years, 24.4% females), with at least 1-year follow-up; 396 patients in whom PCI was offered as an alternative to CABG (Group 1); and 63 patients who were disqualified from CABG by the Heart Team (Group 2). The SYNTAX score (29.1 ± 9.5 vs. 23.2 ± 9.7; p < 0.001) and Euroscore II value (2.72 ± 2.01 vs. 2.15 ± 2.16; p = 0.007) were significantly higher and ejection fraction was significantly lower (46% vs. 51.4%; p < 0.001) in Group 2. Patients in Group 2 more often required complex stenting techniques (33.3% vs. 16.2%; p = 0.001). The procedure success rates were very high and did not differ between groups (100% vs. 99.2%; p = 0.882). We observed no difference in periprocedural complication rates (12.7% vs. 7.8%; p = 0.198), but the long-term all-cause mortality rate was higher in Group 2 (26% vs. 21%; p = 0.031). LM PCI in patients disqualified from CABG is an effective and safe procedure with a low in-hospital complication rate. Long-term results are satisfactory.
The Factors Associated with Person-Centered Care Competence among Nursing Students

To improve person-centered care (PCC) competence among nursing students, various associated factors must be considered. This study aimed to identify the factors influencing PCC competence among South Korean nursing students, using a descriptive, cross-sectional design. Participants were recruited from three nursing colleges in South Korea using convenience sampling. Data were collected from 1 December 2020 to 31 January 2021, using structured self-report questionnaires. Demographic information, positive psychological capital, ego-resiliency, and depression of the participants were assessed. Descriptive statistics, independent t-tests, one-way analyses of variance, and hierarchical multiple regression analysis were used in statistical analysis. Participants with highly positive psychological capital (r = 0.509, p < 0.001) and high ego-resiliency (r = 0.480, p < 0.001) had very good PCC competence. The multiple regression analysis revealed that 30.1% of the variance in PCC competence is attributable to positive psychological capital and ego-resiliency (F = 34.59, p < 0.001, adjusted R2 = 0.301). These results highlighted the need for strategies to enhance psychological factors, such as positive psychological capital and ego-resiliency, that could boost PCC competence in nursing students.
Superoxide Dismutase-3 Downregulates Laminin α5 Expression in Tumor Endothelial Cells via the Inhibition of Nuclear Factor Kappa B Signaling

Simple Summary Tumor-infiltrating lymphocytes determine cancer prognosis and the response to immunotherapy. The balance of laminin-α4/laminin-α5 isoforms in the endothelial basement membrane plays an instructive function in regulating the diapedesis of immune cells under inflammatory conditions. Previous studies showed that the extracellular superoxide dismutase (SOD)3 induces laminin-α4, which is associated with improved disease-free survival of colorectal cancer patients. The aim of our study was to determine whether SOD3 also affects the expression of laminin-α5 in the tumor vasculature. The results showed that SOD3 differentially regulates laminin-α4 and laminin-α5 in the tumor endothelium. SOD3 promoted notable transcriptomic changes in tumor-stimulated endothelial cells, including the inhibition of the nuclear factor kappa B (NF-κB) pathway, an inductor of laminin α5 transcription. Therefore, high SOD3 levels in the tumor vasculature shifted the laminin α4/α5 balance towards the laminin-α4high/laminin-α5low phenotype, which is permissive for T cell diapedesis into tumors and explains the improved cancer immune surveillance associated to high SOD3 levels. Abstract The balance between laminin isoforms containing the α5 or the α4 chain in the endothelial basement membrane determines the site of leukocyte diapedesis under inflammatory conditions. Extracellular superoxide dismutase (SOD3) induces laminin α4 expression in tumor blood vessels, which is associated with enhanced intratumor T cell infiltration in primary human cancers. We show now that SOD3 overexpression in neoplastic and endothelial cells (ECs) reduces laminin α5 in tumor blood vessels. SOD3 represses the laminin α5 gene (LAMA5), but LAMA5 expression is not changed in SOD1-overexpressing cells. Transcriptomic analyses revealed SOD3 overexpression to change the transcription of 1682 genes in ECs, with the canonical and non-canonical NF-κB pathways as the major SOD3 targets. Indeed, SOD3 reduced the transcription of well-known NF-κB target genes as well as NF-κB-driven promoter activity in ECs stimulated with tumor necrosis factor (TNF)-α, an NF-κB signaling inducer. SOD3 inhibited the phosphorylation and degradation of IκBα (nuclear factor of the kappa light polypeptide gene enhancer in B-cells inhibitor alpha), an NF-κB inhibitor. Finally, TNF-α was found to be a transcriptional activator of LAMA5 but not of LAMA4; LAMA5 induction was prevented by SOD3. In conclusion, SOD3 is a major regulator of laminin balance in the basement membrane of tumor ECs, with potential implications for immune cell infiltration into tumors.
PREVENTION OF CARDIOVASCULAR DISEASE: A NUTRIGENETIC APPROACH

Cite this article as: Doğan BF, Ataçer B, Kantur C et al. Prevention of cardiovascular disease: a nutrigenetic approach. Turk Med Stud J 2022;9(1):1-7. Address for Correspondence: Betül Filiz Doğan, Trakya University School of Medicine, Edirne, TURKEY e-mail: bfilizd@gmail.com ORCID iDs of the authors: BFD: 0000-0001-5808-0777; BA:0000-0003-3442-0700; CK: 0000-0001-9887-2429; MO: 0000-0002-1020-5590. Received: 13.12. 2021 Accepted: 03.01. 2022 INTRODUCTION
A hotspot of groundwater amphipod diversity on a crossroad of evolutionary radiations

Groundwater harbours an exceptional fauna and provides invaluable ecosystem services, yet is among the least explored and consequently least protected ecosystems. Successful protection of its biodiversity depends on complete species inventories, knowledge of species spatial distribution, and quantification of biodiversity patterns, as well as disentanglement of the processes that shaped biodiversity patterns. We studied the hyper‐speciose amphipod genus Niphargus as a model system within a global subterranean biodiversity hotspot. We linked the biodiversity patterns with possible underlying processes and discuss the needs to include information on different origins of biodiversity into conservation approaches.
Multi-Feature Single Target Robust Tracking Fused with Particle Filter

Aiming at the problems of target model drift or loss of target tracking caused by serious deformation, occlusion, fast motion, and out of view of the target in long-term moving target tracking in complex scenes, this paper presents a robust multi-feature single-target tracking algorithm based on a particle filter. The algorithm is based on the correlation filtering framework. First, to extract more accurate target appearance features, in addition to the manual features histogram of oriented gradient features and color histogram features, the depth features from the conv3–4, conv4–4 and conv5–4 convolutional layer outputs in VGGNet-19 are also fused. Secondly, this paper designs a re-detection module of a fusion particle filter for the problem of how to return to accurate tracking after the target tracking fails, so that the algorithm in this paper can maintain high robustness during long-term tracking. Finally, in the adaptive model update stage, the adaptive learning rate update and adaptive filter update are performed to improve the accuracy of target tracking. Extensive experiments are conducted on dataset OTB-2015, dataset OTB-2013, and dataset UAV123. The experimental results show that the proposed multi-feature single-target robust tracking algorithm with fused particle filtering can effectively solve the long-time target tracking problem in complex scenes, while showing more stable and accurate tracking performance.
Light management in tree nurseries to produce Pithecellobium dulce seedlings for the reforestation of degraded lands in Southern Mexico's tropical dry forests

The choice of nursery practices is important to the production of high-quality seedlings and to increase the survival rates of reforestation plantations in the dry tropics. However, adequate practices need to be established for native species for which propagation information is scarce. This study suggests that light management in nurseries is a key cultivation practice for future planting success, because of the morpho-physiological changes that plants usually undergo in different light conditions. We examined variations in the morphology, photosynthesis efficiency and growth of Pithecellobium dulce plants produced under four levels of light in nursery conditions (20%, 40%, 60%, and 100% of photosynthetically active radiation [PAR]). We also assessed survival after planting out according to the light conditions under which the plants were grown. Morpho-physiological variables were examined in three-month-old plants. A plantation was established in the field using the nursery-grown plants, and their survival was recorded monthly for 17 months. In the nursery, the light levels had significant effects on morphology, photosynthesis efficiency and growth. The 60% PAR level was favourable to optimum results for most of the variables, whereas the least successful results were found in plants grown at 20% PAR. Seedling survival in the field differed significantly according to the nursery light level, increasing with greater light intensity in the nursery during seedling production. 100% survival was observed in seedlings produced under 100% PAR, whereas the lowest survival rate (53%) was found in seedlings grown under 20% PAR. Light management thus shows potential as a cultivation practice by affecting the quality of P. dulce seedlings, which is improved in the nursery at 60% PAR. However, better survival after planting out is obtained with plants produced under full sun. These results should help to improve nursery management and establishment in the field of P. dulce in projects to restore degraded lands in the dry tropics.
Computer aided design for Origamic Architecture models with voxel data structure

††† Origamic Architecture is a piece of folded paper from which a three dimensional struc- ture "pops up" when it is opened. It sounds like the "Pop Up story book", but its unique feature is that is made by giving only a few cuts to a piece of paper and can be folded it to fit in an envelope. We propose a new method to design Origamic Architecture models with a computer. The voxel model representation is used to express the structure of Origamic Archi- tecture. With this approach, we can easily generate the CG images and the unfolded pattern of Origamic Architecture models. We also propose a method to generate Origamic Architec- ture models from polygonal models. We implemented a system based on those methods and demonstrated its usefulness for creating Origamic Architectures.
A Randomized Placebo-Controlled Phase 2 Study of Gemcitabine and Capecitabine with or without T-ChOS as Adjuvant Therapy in Patients with Resected Pancreatic Cancer (CHIPAC)

The antitumor activity of chitooligosaccharides has been suggested. This phase 2 trial evaluated the efficacy and safety of T-ChOS™, in addition to adjuvant chemotherapy, in patients after resection of pancreatic ductal adenocarcinoma (PDAC). In this single-center, randomized, double-blind, placebo-controlled trial using patients ≥18 years of age after complete macroscopic resection for PDAC, patients were randomly assigned (1:1) to either a continuous oral T-ChOS group or a placebo group, in combination with gemcitabine (GEM) and oral capecitabine (CAP), for a maximum of six cycles. The primary endpoint was disease-free survival (DFS). Recruitment was stopped prematurely in July 2018, with 21 of planned 180 patients included, due to poor accrual and because modified FOLFIRINOX replaced GEM/CAP for the target population. Nine patients received T-ChOS and twelve received the placebo. The median DFS was 10.8 months (95% CI 5.9–15.7) for the T-ChOS arm and 8.4 months (95% CI 0–21.5) in the placebo arm. Overall, seven patients (78%) in the T-ChOS arm and eight patients (67%) in the placebo arm experienced at least one grade 3–4 treatment-related adverse event, most frequently neutropenia. Altogether, the addition of T-ChOS to chemotherapy in patients after resection of PDAC seems safe. However, the clinical benefit cannot be assessed due to the premature cessation of the trial.
Machine Learning and Smart Devices for Diabetes Management: Systematic Review

(1) Background: The use of smart devices to better manage diabetes has increased significantly in recent years. These technologies have been introduced in order to make life easier for patients with diabetes by allowing better control of the stability of blood sugar levels and anticipating the occurrence of dangerous events (hypo/hyperglycemia), etc. That being said, the main objectives of the self-management of diabetes is to improve the lifestyle and life quality of patients with diabetes; (2) Methods: We performed a systematic review based on articles that focus on the use of smart devices for the monitoring and better management of diabetes. The search was focused on keywords related to the topic, such as “Diabetes”, “Technology”, “Self-management”, “Artificial Intelligence”, etc. This was performed using databases, such as Scopus, Google Scholar, and PubMed; (3) Results: A total of 89 studies, published between 2011 and 2021, were included. The majority of the selected research aims to solve a diabetes management problem (e.g., blood glucose prediction, early detection of risk events, and the automatic adjustment of insulin doses, etc.). In these studies, wearable devices were used in combination with artificial intelligence (AI) techniques; (4) Conclusions: Wearable devices have attracted a great deal of scientific interest in the field of healthcare for people with chronic conditions, such as diabetes. They are capable of assisting in the management of diabetes, as well as preventing complications associated with this condition. Furthermore, the usage of these devices has improved illness management and quality of life.