Correlation between serum thyroid hormone and lipid in patients with chronic kidney disease by HUANG Hai-ming, XIAO Xiao-fen, WANG Xiao-qin

“…Objective To study the changes of serum thyroid hormone(TH) and the underlying effects on lipid in patients with chronic kidney disease(CKD) stage3~5.Methods Serum free triiodothyronine(FT3),free thyroxine(FT4),and sensitive thyroid stimulating hormones(s-TSH) concentrations in 120 patients with CKD stage3~5 in hospital and 50 normal-control subjects were measured by a specific radioimmunoassay.Serum total cholesterol(TO,triglycerides(TG),high density lipoprotein(HDL-C),low density lipoprotein(LDL-C),serum creatinine(SCr),blood urea nitrogen(BUN),uric acid(UA),albumin(Alb) concentrationswere measured by a automatic biochemical analyzer,estimated glomerular filtration rate(eGFR) were measured by SCr.Results According to the analysis,serum contents of both FT3 and FT4 were significantly lower in patients with CKD stage3~5than in normal controls(P<0.01,P<0.05,respectively),and their s-TSH contents were not different compared with normal controls(P>0.05).CKD patients had significantly higher serum TG,TC and LDL-C contents than normal controls(P<0.01,P<0.01,P<0.05,respectively),but their HDL-C content is not more different than normal controls(P<0.05).Pearson correlation analysis revels negative correlation betweeen FT3 and TG,TC(r=- 0.288,P<0.05;r=- 0.312,P<0.05),but positive correlation between FT3 and HDL-C,Alb,Hb 0=0.356,P<0.01;r = 0.199,P<0.05;r=0.266,P<0.01;r=0.276,P<0.01).Negative correlation betweeen TC,LDL-C and FT4 were found(r=-0.199,P<0.01;r=- 0.297,P<0.05),and positive correlation between FT4 and eGFR,Alb,Hb(r=0.405,P<0.01;r=0.237,P<0.01;r=0.24,P<0.01),but there is no evidence correlaiton between FT4 and TG,HDL-C,eGFR,TG,TC,HDL-C,LDL-C are not correlated with s-TSH,except Alb.The results of regressive analysis showed that the independent risk factor of hyperlipidemia was eGFR and FT3,that TC was negatively related to eGFR(P<0.01).Conclusions It is very common in middle and advanced stage CKD patients with thyroid dysfunction,which mailnly presents low T3 syndrome and closely related to severity of renal damage.Hyperlipidemia is very common in CKD patients.The risk factors are complicated,which eGFR and FT3 are independent causes of dyslipidemia in CKD patients.…”
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RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution by Huixia Zheng, Xiaoliang Jiang, Xu Xu, Zhenfei Yuan

“…Automatic segmentation of jaw cysts in cone-beam computed tomography (CBCT) scans plays a crucial role in clinical and treatment planning, and it provides an efficient alternative to labor-intensive manual procedures. …”
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Microclimate under different shading screens in greenhouses cultivated with bromeliads Microclima sob diferentes malhas de sombreamento em ambiente protegido cultivado com bromélia... by Ester Holcman, Paulo C. Sentelhas

“…Blue screen (T4) treatment also presented the highest relative humidity difference between inside and outside conditions.…”
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Recognition of pepper plant and ridge characteristics using an ultrasonic sensor for smart upland crop production by Mohammod Ali, Md Rejaul Karim, Md Sazzadul Kabir, Md Asrakul Haque, Kyu-Ho Lee, Sun-Ok Chung

“…An open-source application was used to collect data and visualize the outcomes in real-time. The algorithm presented in the study effectively estimated the height, canopy volume, row spacing, and ridge spacing for pepper plants and associated land features. …”
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Approximate Synthesis of Н_∞ – Controllers in Nonlinear Dynamic Systems over a Semi-Infinite Time Period by A. V. Panteleev, A. A. Yakovleva

“…This significantly expands the class of dynamic systems for which it is possible to synthesize controllers capable of resisting various external actions. The methods presented in this paper can be effectively applied to solve a variety of control problems, including the design of autopilots and automatic navigation systems for aircraft, even under conditions of limited external actions.…”
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A low-cost platform for automated cervical cytology: addressing health and socioeconomic challenges in low-resource settings by José Ocampo-López-Escalera, Héctor Ochoa-Díaz-López, Xariss M. Sánchez-Chino, César A. Irecta-Nájera, Saúl D. Tobar-Alas, Martha Rosete-Aguilar

“…However, its effectiveness in low-resource settings has been limited, among other factors, by insufficient diagnostic infrastructure and a shortage of trained healthcare personnel.MethodsThis paper introduces the development of a low-cost microscopy platform designed to address these limitations by enabling automatic reading of cervical cytology slides. The system features a robotized microscope capable of slide scanning, autofocus, and digital image capture, while supporting the integration of artificial intelligence (AI) algorithms. …”
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Algorithm for Calculating Noise Immunity of Cognitive Dynamic Systems in the State Space by A. A. Solodov, T. G. Trembach, K. E. Zhovnovatiy

“…The research method consists in applying the state space method, widely used in the study of automatic dynamical systems, to describe the behavior of cognitive systems. …”
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Development of a fully integrated hydrological fate and transport model for plant protection products: incorporating groundwater, tile drainage, and runoff by Michael V. Callaghan, Steven K. Frey, Steven K. Frey, Killian Miller, Hyoun-Tae Hwang, Hyoun-Tae Hwang, Reza Zolfaghari, Klaus Hammel, Steven J. Berg, Steven J. Berg, Edward A. Sudicky, Edward A. Sudicky

“…Added features include automatic irrigation, non-linear adsorption, temperature and soil water content-dependent degradation, and solute uptake by plant roots.Results and DiscussionHGS results for leaching of PPP mass to groundwater showed the highest correlation, lowest error, and lowest bias relative to PEARL model results. …”
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Control Basado en Eventos de Sistemas de Primer Orden Con Retardo by Ángel Ruiz, Jorge E. Jiménez, José Sánchez, Sebastián Dormido

“…Abstract: PID control theory based on periodic managing of samples has become a well-known area in automatic control. Asynchronous sampling inherent to event-based scheduling causes non-linear dynamics. …”
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Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…A diverse set of blood cell images with fine-grained annotations is contained in this dataset to make it useful for deep learning models training and evaluation. Because the present dataset will be an important resource for researchers and developers working on automatic blood cell detection and classification systems, we will make it publicly available under the open-access nature in order to accelerate the collaboration and progress in this field.…”
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Using a rule‐based system to define error in the emergency department by Kiersten L. Gurley, Jonathan L. Burstein, Richard E. Wolfe, Shamai A. Grossman

“…Methods This is a prospective, observational study of all cases presented for peer review at an urban, tertiary care, academic medical center emergency department (ED) quality assurance (QA) committee between October 13, 2015, and September 14, 2016. …”
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Application of dual branch and bidirectional feedback feature extraction networks for real time accurate positioning of stents by Shixiao Wu, Rui Hu, Chengcheng Guo, Xingyuan Lu, Peng Leng, Zhiwei Wang

“…For mAP@0.5, when employing 5-fold cross-validation, DBMedDet demonstrates superior performance compared to several YOLO models, achieving improvements of 4.88% over YOLOv8l, 4.61% over YOLOv8m, 3.20% over YOLOv8s, 6.23% over YOLOv8n, 6.09% over YOLOv10s, 3.92% over YOLOv9s, 3.20% over YOLOv8s, 3.00% over YOLOv7tiny, and 5.01% over YOLOv5s. This study presents a precise and easily implementable method for the automatic detection of stent placement limits in the thoracic and abdominal aorta. …”
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Data on the effect of wood-based panel-emitted volatile organic compounds on miceMendeley Data by Inho Hwang, Kangmin Kim, Sun-Hwa Ryu, Changhwan Ahn, Xiang-Shun Cui, Eui-Bae Jeung

“…Air samples were collected nine times over 14 days using automatic thermal desorption gas chromatography/mass spectrometry (ATD GC MS). …”
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PARTICULAR OF THE BONE METABOLISM IN CHILDREN WITH THE EXTREMITIES’ FRACTURES by T. A. Galiatina, I. M. Ustiantseva, O. I. Khokhlova

“…The distribution normalcy control was performed using the Kolmogorov-Smirnov's test. Data were presented as Ме (LQ–UQ), where Ме is median, (LQ–UQ) is interquartile dis-persion. …”
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C Band 360° Triangular Phase Shift Detector for Precise Vertical Landing RF System by Víctor Araña-Pulido, B. Pablo Dorta-Naranjo, Francisco Cabrera-Almeida, Eugenio Jiménez-Yguácel

“…This paper presents a novel design for precise vertical landing of drones based on the detection of three phase shifts in the range of ±180°. …”
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Avaliação do Kt para estimativa da evapotranspiração de referência (ETo) em Campos dos Goytacazes, RJ Evaluation of "Class A" pan coefficients to estimate the referential evapotran... by Barbara dos S. Esteves, José C. Mendonça, Elias F. Sousa, Salassier Bernardo

“…The smallest absolute mean error (0.50) was showed by Cuenca (1989) method, which also presented the highest efficiency (EF = 0,81).…”
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Objectively measured environmental factors in relation to school travel mode among adolescents: a decision tree analysis by Lena Malnes, Tommy Haugen, Emma Charlott Andersson Nordbø, Andreas Ivarsson, Elin Kolle, Geir Kåre Resaland, Runar Barstad Solberg, Andreas Åvitsland, Sveinung Berntsen

“…A decision tree analysis was conducted utilizing the chi-squared automatic interaction detection algorithm to discern patterns in the data. …”
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Application of Hardware and Software Complex for Individualisation of Students’ Sport and Recreational Physical Activities by O. N. Moskovchenko, L. V. Zakharova, N. V. Tretyakova, N. V. Lyulina, O. A. Kattsin, G. S. Savolaynen

“…The criteria to determine a vegetative tonus of students (eutony, vagotony, sympathicotony) were identified on the basis of nonparametric algorithms of automatic classification, recognition of samples and theorem of statistical hypothesis tests. …”
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Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning by Chenghao Lu, Klaus Gehring, Stefan Kopfinger, Heinz Bernhardt, Michael Beck, Simon Walther, Thomas Ebertseder, Mirjana Minceva, Yuncai Hu, Kang Yu

“…To address these challenges, this study uniquely integrated Real-ESRGAN Super-Resolution (SR) for UAV image enhancement and the Segment Anything Model (SAM) for semi-automatic annotation. Subsequently, we trained the YOLOv8 and Mask R-CNN models for segmentation. …”
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Relationships among shift work, hair cortisol concentration and sleep disorders: a cross-sectional study in China by Minjie Chu, Lingli Sang, Tian Tian, Jing Xiao, Yulong Lian, Xun Zhuang, Yu Zhang, Jiayang Shen, Ziqi Zhou

“…Objective The present study was designed to demonstrate the relationships among shift work, hair cortisol concentration (HCC) and sleep disorders.Design A cross-sectional study.Setting Three petroleum administrations in Karamay city of Xinjiang, China.Participants 435 individuals including 164 males and 271 females participated in the research.Outcome measures Information on shift work was collected by a self-administered questionnaire. …”
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