A new dynamic model of supply boundary at low pressure in tight gas reservoir by Jinbu Li, Lili Liu, Yuan Zhu, Lian Zhao, Xiaolong Chai, Leng Tian

“…The production of gas is significantly impacted by the threshold pressure gradient, stress sensitivity and production pressure difference. …”
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Proposed Quality Control Charts Using Haar Wavelet Coefficients for Enhanced Production Monitoring by Sarah Ameen, taha ali

“…For the first time, the universal threshold method to treat data noise was used to create control limits in the proposed charts. …”
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Assessment of the palatability of Atlantic salmon by NMR spectroscopy by L. S. Abramova, A. V. Kozin, E. S. Guseva, K. A. Lavrikova

“…The processing of the data array of the content of metabolites by the method of principal components was carried out and a clear separation of fish and broth samples was revealed, as well as the difference between fish stored for a long time and the original sample. …”
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Assessment of the Effectiveness of Different Variants of Frequency Doubling Technology Perimetry in Monitoring the Glaucoma Process by I. L. Simakova, A. N. Kulikov, I. A. Tikhonovskaya

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THE LEFT VENTRICLE DIASTOLIC FUNCTION IN PATIENTS WITH HYPERTENSION UNDER THE USE OF DIFFERENT DRUG GROUPS by A. V. Budnevskij, E. S. Ovsjannikov, L. E. Kulikova

“…The average values of the left atrial volume index before and after the treatment course did not show significant differences. In the majority of the examined patients, this parameter did not exceed the threshold value of 34 ml/m2 . …”
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Effects of different pulse widths on acute tibial nerve stimulation for overactive bladder in cats by Dongsheng Shang, Haoyu Sun, Han Deng, Gongyue Liu, Limin Liao, Xing Li

“…The threshold intensity (T) was higher at 60 µsec than at 624 µsec (P < 0.01), while T at 210 µsec, 420 µsec, and 624 µsec showed no significant differences (P > 0.05). …”
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Image segmentation method of plastic-film corn canopy by ZHANG Wanhong, LIU Wenzhao

“…And then, the images were respectively segmented using the methods of excess green (ExG), excess red (ExR), excess green minus excess red (ExG－ExR), and Otsu thresholding of excess green, excess red and excess green minus excess red. …”
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Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect by Yang Ya, Tao Hongyan, Yu Chengbo

“…The obtained key points are iteratively sorted,and the RANSAC（ Random sample consensus） algorithm is used to extract the matching points for two times. The gray difference algorithm is used to extract the defective region after the matrix transformation registration,using the Otsu threshold method to segment the image and the characteristics of defect area domain are analyzed,which uses the Otsu threshold method to segment the image. …”
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COMPARISON OF EFFICACY OF DIFFERENT LONG-ACTING NITRATES DRUG COMPOUNDS IN PATIENTS WITH STABLE ANGINA by N. G. Kucheryavaya, E. V. Bochkareva, G. P. Arutyunov, N. A. Koziolova, O. L. Barbarash, S. A. Boytsov

“…All medications studied led to a significant relevant increase of the threshold exertion duration as at the 1st day of intake (coupled TNL), as during regular intake. …”
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Minimal Clinically Important Difference on Parkinson’s Disease Sleep Scale 2nd Version by Krisztina Horváth, Zsuzsanna Aschermann, Péter Ács, Gabriella Deli, József Janszky, Sámuel Komoly, Kázmér Karádi, Márton Kovács, Attila Makkos, Béla Faludi, Norbert Kovács

“…Both anchor-based techniques (within patients’ score change method and sensitivity- and specificity-based method by receiver operating characteristic analysis) and distribution-based approaches (effect size calculations) were utilized to determine the magnitude of minimal clinically important difference. …”
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Establishing the minimal important difference of the visual analog scale for assessing exercise-induced fatigue by Jianyu Gan, Gengxin Dong, Yilin Xu, Yan Chen, Yunqing Zhang, Qi Gao, Dapeng Bao

“…The Visual Analog Scale (VAS) is one of the most commonly used subjective methods for evaluating exercise-induced fatigue. However, there is a limited interpretation of how much a change in this method indicates a fatigue status that matters to the exercise performance due to the lack of a well-established minimal important difference (MID). …”
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Chronic kidney disease screening in Iran: a cost-effectiveness analysis of different strategies by Fatemeh Keshvari-Shad, Mahmood Yousefi, Sakineh Haj Ebrahimi, Alireza Mahboub-Ahari, Nastaran Nemati, Satar Rezaei

“…Using a willingness-to-pay threshold of IRR 316,112,349 (US $3276.8) per QALY, the model suggests that the ACR, eGFR, and dipstick screening strategies were superior to no screening, offering lower costs and more QALYs over the 40-year period. …”
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Polishing Ceramic Samples with Fast Argon Atoms at Different Angles of Their Incidence on the Sample Surface by Sergey N. Grigoriev, Alexander S. Metel, Marina A. Volosova, Enver S. Mustafaev, Yury A. Melnik

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DIFFERENCES IN WORKERS' BLOOD PRESSURE DUE TO NOISE IN THE MANUFACTURING INDUSTRY IN EAST JAVA, INDONESIA by Virrarny Eka Novyra, Ratih Damayanti, Ratnaningtyas Wahyu Kusuma Wardani, Indah Lutfiya

“…A Paired Sample T-test was conducted to assess differences in workers' blood pressure before and after exposure to noise. …”
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Estimating Grapevine Transpirational Losses Using Models Under Different Conditions of Soil Moisture by Efthymios Kokkotos, Anastasios Zotos, Dimitrios E. Tsesmelis, Eleftherios A. Petrakis, Angelos Patakas

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Morpho‐Molecular Identification of Common Freshwater Loaches Collected From Different Ecosystems of Bangladesh by Md. Amdadul Haque, Saima Binte Hadi, Ayesha Akhter Sumona, Jonaira Rashid, Mohd Golam Quader Khan, Md. Samsul Alam

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High-Precision Chip Detection Using YOLO-Based Methods by Ruofei Liu, Junjiang Zhu

“…GM-YOLOv11-DNMS has two main improvements: (1) it replaces the CNN layers with a ghost module in YOLOv11n, significantly reducing the computational cost while maintaining the detection performance, and (2) it uses a new dynamic non-maximum suppression (DNMS) method, which dynamically adjusts the thresholds to improve the detection accuracy. …”
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Parameter Adaptive LCD Screen Defect Detection Framework by LIU Wang, SHAO Huili, HE Yongjun, XIE Yining, CHEN Deyun

“…It is necessary to detect defects in the production process of LCD screens for quality improvements Manual detection brings a heavy workload and low accuracy Therefore, an efficient and accurate automatic detection method is urgently needed To this end, this paper proposes a new defect detection framework, which mainly includes screen area extraction, preprocessing, threshold segmentation and defect selection By adaptive adjustment of parameters, the detection method can adapt to various complex situations In order to eliminate the influence of illumination changes, the defect region is segmented by automatic parameter adjustment in the threshold segmentation First, the maximum grayscale value of the image is calculated, and then the fixed parameters and the coefficient of the defect image are determined according to the nodefect image, and finally the maximum value which was selected as the minimum threshold of the threshold segmentation from the fixed parameters and the product of the maximum grayscale value and the coefficient In addition, in order to solve the problem that the brightness difference of the images captured by lowresolution cameras is too small to detect defects in the saturation condition, selfadaptive adjustment of exposure parameters was used to collect images to process different parts of images with large difference in light and shade Experiments show that the method can achieve high performance and efficiency in detecting defects such as points, lines, Mura, saturation…”
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Weighted Hypoxemia Index: An adaptable method for quantifying hypoxemia severity. by Diane C Lim, Cheng-Bang Chen, Ankita Paul, Yujie Wang, Jinyoung Kim, Soonhyun Yook, Emily Y Kim, Edison Q Kim, Anup Das, Medhi Wangpaichitr, Virend K Somers, Chi Hang Lee, Phyllis C Zee, Toshihiro Imamura, Hosung Kim

“…<h4>Objective</h4>To quantitate hypoxemia severity.<h4>Methods</h4>We developed the Weighted Hypoxemia Index to be adapted to different clinical settings by applying 5 steps to the oxygen saturation curve: (1) Identify desaturation/resaturation event [Formula: see text] by setting the upper threshold; (2) Exclude events as artifact by setting a lower threshold; (3) Calculate weighted area for each [Formula: see text] as [Formula: see text]; (4) Calculate a normalization factor [Formula: see text] for each subject; (5) Calculate the Weighted Hypoxemia Index as the summation of all weighted areas multiplied by [Formula: see text]. …”
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The Relationship Between Serum Levels of Thyroglobulin Antibody and the Risk of Recurrence in Patients With Differentiated Thyroid Cancer by Amirian Fatemeh, Yaghoubi Mohammad Ali, Mehrad‐Majd Hassan, Mohebbi Masoud, Layegh Parvin, Vazifeh‐Mostaan Leila, Dadgar Moghaddam Maliheh, Amirian Zahra, Taghavi Ghazaleh

“…Patients were classified based on recurrence rate and different levels of TgAb, and ROC analysis was applied. …”
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