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1. The Beneficial Effects of a Multispecies Probiotic Supplement on Glycaemic Control and Metabolic Profile in Adults with Type 1 Diabetes: A Randomised, Double-Blinded, Placebo-Controlled Pilot-Study

Author

Zhang X, Zhang Y, Luo L, Le Y, Li Y, Yuan F, Wu Y, and Xu P

Subjects
continuous glucose monitoring, glycaemic variability, lipid profile, probiotics, type 1 diabetes mellitus, Specialties of internal medicine, RC581-951
Abstract

Xiuzhen Zhang,* Ying Zhang,* Limei Luo, Ying Le, Ying Li, Fengyi Yuan, Yan Wu, Ping Xu Department of Endocrinology and Metabolism, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ping Xu, Department of Endocrinology and Metabolism, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People’s Republic of China, Email xu.ping@szhospital.comObjective: In this pilot-study, the effects of a multispecies probiotic supplement on glycaemic control and metabolic parameters in adults with type 1 diabetes (T1DM) were explored.Material and Methods: A total of 50 T1DM patients were enrolled and randomly placed into a group receiving capsules containing multi-probiotic strains (Bifidobacterium longum, Lactobacterium bulagricumi, Streptococcus thermophilus) and insulin (probiotics group, n = 27) or a group receiving a placebo and insulin (placebo group, n = 23). All patients underwent continuous glucose monitoring at baseline and 12 weeks after intervention. The primary outcomes were determined by comparing factors such as changes in fasting blood glucose (FBG) and haemoglobin A1c (HbA1c) between the groups.Results: Probiotic supplementation significantly reduced FBG (− 1.0 ± 4.7 vs 1.8 ± 4.7 mmol/L, p = 0.048), 30 min postprandial glucose (− 0.5 ± 4.6 vs 1.9 ± 3.3 mmol/L, p = 0.0495), and low-density lipoprotein cholesterol (− 0.07 ± 0.45 vs 0.32 ± 0.78 mmol/L, p = 0.0413), compared with the placebo. Although not statistically significant, probiotic supplementation also lowered HbA1c levels by 0.49% (− 5.33 mmol/mol, p = 0.310). Besides, no significant difference was observed in the continuous glucose monitoring (CGM) parameters between the two groups. Further subgroup analysis revealed a significant reduction in mean sensor glucose (MSG; − 0.75 (− 2.11, 0.48) mmol/L vs 1.51 (− 0.37, 2.74) mmol/L, p = 0.010) and time above range (TAR; − 5.47 (− 20.1, 3.04)% vs 18.9 (− 1.11, 35.6)%, p = 0.006), as well as an greater improvement in the time in range (TIR; 9.32 (− 4.84, 16.6)% vs − 19.9 (− 31.4, 0.69)%, p = 0.005) in male patients than female patients in the probiotics group.Conclusion: Multispecies probiotics exerted beneficial effects on fasting and postprandial glucose and lipid profiles in adult T1DM patients, especially for male patients and those with higher baseline FBG levels.Keywords: continuous glucose monitoring, glycaemic variability, lipid profile, probiotics, type 1 diabetes mellitus

Published
2023

2. Wolf’s Isotopic Response After Herpes Zoster Infection in Chronic Lichen Sclerosus-Like Graft versus Host Disease: Case Report and Literature Review

Author

Xu W, Yu C, Le Y, and Zhang J

Subjects
isotopic, graft versus host disease, lichen sclerosus, lichen planus, Dermatology, RL1-803
Abstract

Wen Xu,1,* Cong Yu,1,* Yijun Le,2 Jianzhong Zhang1 1Department of Dermatology, People’s Hospital of Peking University, Beijing, People’s Republic of China; 2Musculoskeletal Tumor Center, People’s Hospital of Peking University, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianzhong Zhang, Department of Dermatology, People’s Hospital of Peking University, Beijing, People’s Republic of China, Tel +86 18001315877, Email rmzjz@126.comAbstract: Wolf’s isotopic response (WIR) refers to the occurrence of a new skin disease at the exact site of an unrelated skin disease that had previously healed, often subsequent to virus infection. Secondary cutaneous diseases that are frequently observed in WIR include granulomatous reactions, dysimmune reactions, malignancies, and infections. However, secondary chronic graft-versus-host disease (GVHD) is rare. We describe a patient with lichen sclerosus-like GVHD who developed lichen planus-like GVHD lesions secondary to herpes zoster infection.Keywords: isotopic, graft-versus-host disease, lichen sclerosus, lichen planus

Published
2022

3. IL-17A Promotes Epithelial ADAM9 Expression in Cigarette Smoke-Related COPD

Author

Li D, Wang T, Ma Q, Zhou L, Le Y, Rao Y, Jin L, Pei Y, Cheng Y, Huang C, Gai X, and Sun Y

Subjects
chronic obstructive pulmonary disease, a disintegrin and metalloproteinase 9, interleukin-17a, airway epithelium, Diseases of the respiratory system, RC705-779
Abstract

Danyang Li,1 Tong Wang,2 Qianli Ma,3 Lu Zhou,1 Yanqing Le,1 Yafei Rao,1 Liang Jin,1 Yuqiang Pei,1 Yaning Cheng,4 Chen Huang,5 Xiaoyan Gai,1 Yongchang Sun1 1Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People’s Republic of China; 2Department of Thoracic Surgery, Peking University Third Hospital, Beijing, 100191, People’s Republic of China; 3Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China; 4School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, People’s Republic of China; 5Center of Basic Medical Research, Peking University Third Hospital, Beijing, 100191, People’s Republic of ChinaCorrespondence: Xiaoyan Gai; Yongchang Sun, Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, People’s Republic of China, Email gxy81wfl79@163.com; suny@bjmu.edu.cnBackground: It has been reported that a disintegrin and metalloproteinase 9 (ADAM9) is involved in the pathogenesis of cigarette smoke (CS)-associated chronic obstructive pulmonary disease (COPD). But how CS exposure leads to upregulation of ADAM9 remains unknown.Methods: Patients who underwent lobectomy for a solitary pulmonary nodule were enrolled and divided into three groups: non-smokers with normal lung function, smokers without COPD and smoker patients with COPD. Immunoreactivity of interleukin (IL)-17A and ADAM9 in small airways and alveolar walls was measured by immunohistochemistry. Wild-type and Il17a−/− C57BL/6 mice were exposed to CS for six months, and ADAM9 expression in the airway epithelia was measured by immunoreactivity. In addition, the protein and mRNA expression levels of IL-17A and ADAM9 were assessed in CS extract (CSE) and/or IL-17A-treated human bronchial epithelial (HBE) cells.Results: The immunoreactivity of ADAM9 was increased in the airway epithelia and alveolar walls of patients with COPD compared to that of the controls. The expression of IL-17A was also upregulated in airway epithelial cells of patients with COPD and correlated positively with the level of ADAM9. The results from the animal model showed that Il17a−/− mice were protected from emphysema induced by CS exposure, together with a reduced level of ADAM9 expression in the airway epithelia, suggesting a possible link between ADAM9 and IL-17A. Consistently, our in vitro cell model showed that CSE stimulated the expression of ADAM9 and IL-17A in HBE cells in a dose- and time-dependent manner. Recombinant IL-17A induced ADAM9 upregulation in HBE cells and had a synergistic effect with CSE, whereas blocking IL-17A inhibited CSE-induced ADAM9 expression. Further analysis revealed that IL-17A induced c-Jun N-terminal kinase (JNK) phosphorylation, thereby increasing ADAM9 expression.Conclusion: Our results revealed a novel role of IL-17A in CS-related COPD, where IL-17A contributes to ADAM9 expression by activating JNK signaling.Keywords: chronic obstructive pulmonary disease, a disintegrin and metalloproteinase 9, interleukin-17A, airway epithelium

Published
2022

4. Melanogenesis inhibitory effect of Perilla Frutescens (L.) Britt on a hyperpigmentation model in rabbit

Author

Ngoc Phuc Nguyen, Thanh Hao Do, Le Y Nguyen, Thi Thu Hien Pham, and Ngoc Trinh Huynh

Subjects
hyperpigmentation, melasma, melanin, perilla leaves, Therapeutics. Pharmacology, RM1-950, Pharmacy and materia medica, RS1-441, Pharmaceutical industry, HD9665-9675
Abstract

The study aims to evaluate the melanogenesis inhibitory action of the ethyl acetate (EA) extract from Perilla frutescens (L.) Britt on a hyperpigmented rabbit model induced by UVA-exposure combined to progesterone injection. The dorsal shaved skin of the experimental rabbits was exposed to UVA radiation (386 nm, 147 uW/cm2) in 30 minutes each day for 28 days. Progesterone was intramuscularly injected every other day at the dose of 5 mg/kg. EA extract was topically applied daily from the first day of melasma appearance until the end of the experiment. Morphometric observation based on color thresholder application on MATLAB software. Moreover, melanin determination and histological analysis were also performed. The morphometric observation on the surface of melasma areas as well as the histological analysis from 5% EA-treated group are similar to these of 4% Hydroquinone-treated group at day 14, 21, 28. Melanin concentration in 5% EA-treated group was significantly decreased as compared to the hyperpigmentation group. In conclusion, EA extract of Perilla leaves clearly exhibited the inhibitory effect on melanogenesis in the hyperpigmented rabbit-induced by UVA exposure combined to progesterone injection.

Published
2022
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5. A Nonlinear Relationship Between Serum 25-Hydroxyvitamin D and Urine Albumin to Creatinine Ratio in Type 2 Diabetes: A Cross-Sectional Study in China

Author

Liang Q, Hu H, Wu H, Chen X, Wang W, Le Y, Yang S, and Jia L

Subjects
25-hydroxyvitamin d, urine albumin to creatinine ratio, nonlinearity, Specialties of internal medicine, RC581-951
Abstract

Qian Liang,1– 3,* Haofei Hu,4,* Han Wu,1– 3 Xuan Chen,1– 3 Wei Wang,1– 3 Ying Le,1– 3 Shufen Yang,1– 3 Lijing Jia1– 3 1Department of Endocrinology, Shenzhen People’s Hospital, Shenzhen, 518020, Guangdong Province, People’s Republic of China; 2Department of Endocrinology, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518020, Guangdong Province, People’s Republic of China; 3Department of Endocrinology, The Second Affiliated Hospital of Jinan University, Shenzhen, 518020, Guangdong Province, People’s Republic of China; 4Department of Nephrology, Shenzhen Second People’s Hospital, Shenzhen, 518000, Guangdong Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Lijing JiaDepartment of Endocrinology, Shenzhen People’s Hospital, 1017 Dongmen North Road, Luohu District, Shenzhen, Guangdong Province, People’s Republic of ChinaEmail srmyynfmk@126.comBackground: Diabetic kidney disease often presents as increased urine albumin to creatinine ratio (UACR). 25-hydroxyvitamin D (25(OH)D) is considered as the best indicator of vitamin D status. Previous studies have shown that 25(OH)D is related to the UACR. However, evidence concerning the connection between 25(OH)D and UACR is still limited in the Chinese population.Materials and Methods: A total of 549 participants with type 2 diabetes were enrolled in the study from Shenzhen People’s Hospital, China. The participants were grouped by the tertiles of 25(OH)D level. The association between 25(OH)D and UACR was examined by multiple linear regression. A generalized additive model (GAM) was used to verify a non-linear relationship. We conducted a subgroup analysis to evaluate the robustness of the results.Results: After adjusting for relevant variables, 25(OH)D was negatively correlated with UACR (β = − 8.7, 95% CI (− 12.0, − 5.4)). A non-linear relationship was discovered between 25(OH)D and UACR, and the 25(OH)D threshold was 67. The effect sizes and confidence intervals on the left and right sides of the inflection point were − 13.9 (− 18.2, − 9.6) and 8.9 (− 1.1, 18.9), respectively. Subgroup analysis showed a stronger correlation could be detected in males. The same trend also could be found in patients older than 70 years old, those with using ACEI/ARB, with history of hypertension, with SBP ≥ 140 mmHg and eGFR < 60 mL/min/1.73m2.Conclusion: The relationship between 25(OH)D and UACR is non-linear. 25(OH)D was negatively related to UACR when 25(OH)D is less than 67 nmol/L.Keywords: 25-hydroxyvitamin D, urine albumin to creatinine ratio, nonlinearity

Published
2021

6. Circular RNA 0001313 Knockdown Suppresses Non-Small Cell Lung Cancer Cell Proliferation and Invasion via the microRNA-452/HMGB3/ERK/MAPK Axis

Author

Zhang S, Liu J, Yuan T, Liu H, Wan C, and Le Y

Subjects
non-small cell lung cancer, circular rna 0001313, microrna-452, hmgb3, erk/mapk pathway, proliferation and invasion, Medicine (General), R5-920
Abstract

Shihao Zhang,* Jiansheng Liu,* Taiwen Yuan, Huiyu Liu, Chengwei Wan, Yonghong Le Department of Respiratory and Critical Care Medicine, Ganzhou People’s Hospital, Ganzhou 341000, Jiangxi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yonghong LeDepartment of Respiratory and Critical Care Medicine, Ganzhou People’s Hospital, No. 17, Hongqi Avenue, Zhanggong District, Ganzhou 341000, Jiangxi, People’s Republic of ChinaTel/Fax +8613879769189Email Yonghongle3112@163.comBackground: Non-small cell lung cancer (NSCLC) seriously endangers human health. Circular RNAs (circRNAs) regulate diverse types of cancers, including NSCLC. This study investigated the possible mechanism of circ0001313 in NSCLC.Materials and Methods: Circ0001313 expression in NSCLC tissues was measured, and its correlation with clinicopathological features was analyzed. The binding relationships among circ0001313, microRNA (miR)-452 and HMGB3 were tested. The gain and loss of functions were performed to examine NSCLC cell malignant behaviors. After HMGB3 overexpression, ERK/MAPK pathway-related protein levels were detected. Subsequently, the rescue experiment was further performed using an ERK/MAPK pathway inhibitor PD98059.Results: Abnormally elevated circ0001313 and decreased miR-452 in NSCLC cells were observed. Circ0001313 silencing or miR-452 overexpression significantly reduced NSCLC cell proliferation and invasion. Circ0001313 competitively bound to miR-452 to upregulate HMGB3, thus promoting NSCLC cell growth. HMGB3 overexpression activated the ERK/MAPK pathway to contribute to NSCLC development.Conclusion: We highlighted that silencing of circ0001313 blunted the ERK/MAPK pathway via the miR-452/HMGB3 axis, thereby inhibiting NSCLC cell proliferation and invasion.Keywords: non-small cell lung cancer, circular RNA 0001313, microRNA-452, HMGB3, ERK/MAPK pathway, proliferation and invasion

Published
2020

7. Molecular Characteristics, Antimicrobial Resistance and Virulence Gene Profiles of Staphylococcus aureus Isolates from Wuhan, Central China

Author

Fu Y, Xiong M, Li X, Zhou J, Xiao X, Fang F, Cheng X, Le Y, and Li Y

Subjects
staphylococcus aureus, molecular characteristics, antimicrobial resistance, virulence, Infectious and parasitic diseases, RC109-216
Abstract

Yu Fu, Mengyuan Xiong, Xuehan Li, Junying Zhou, Xiao Xiao, Fang Fang, Xiaohuan Cheng, Yingbang Le, Yirong Li Department of Clinical Laboratory, Zhongnan Hospital, Wuhan University, Wuhan, People’s Republic of ChinaCorrespondence: Yirong LiDepartment of Clinical Laboratory, Zhongnan Hospital, Wuhan University, Wuhan, People’s Republic of ChinaEmail liyirong838@163.comPurpose: This study aimed to investigate the molecular characteristics, antimicrobial resistance and virulence genes profiles of S. aureus isolates from Wuhan, central China.Materials and Methods: A total of 302 non-duplicate S. aureus isolates were collected successively during January–December 2018 and subjected to multi-locus sequence typing (MLST), staphylococcal protein A (spa) typing and Panton–Valentine leucocidin (PVL) and staphylococcal enterotoxin A, B, C, D, E, G, H and I (sea, seb, sec, sed, see, seg, seh and sei) detection. All methicillin-resistant S. aureus (MRSA) isolates were additionally subjected to staphylococcal chromosomal cassette mec(SCCmec) typing.Results: Of the 302 S. aureus isolates, 131 were categorised as MRSA, yielding a rate 1.4 times the average rate in China during 2018 (43.4% vs 30.9%). Thirty-one sequence types (STs) and 82 spa types were identified. The most prevalent clones were ST5-t2460 (10.9%), ST239-t030 (9.3%), ST188-t189 (7.9%) and ST59-t437 (6.3%). Notably, the continued prevalence of ST239-t030 in Wuhan differs from other areas in China. SCCmec types and subtypes I, II, III, IVa and V were present in 0.8%, 36.6%, 26.0%, 20.6% and 8.4% of MRSA isolates. A comprehensive analysis identified ST5-t2460-SCCmec II (25.2%,), ST239-t030-SCCmec III (19.8%) and ST59-t437-SCCmec IVa (7.6%) as the major clones among MRSA isolates. The genes pvl, sea, seb, sec, sed, see, seg, seh and sei were detected at respective frequencies of 11.9%, 42.1%, 49.7%, 45.0%, 20.9%, 33.8%, 60.5%, 25.8% and 66.9%.Conclusion: ST239-t030 remains one of the most prevalent clones in S. aureus isolates from Wuhan, leading us to conclude that S. aureus isolates from Wuhan possess unique molecular characteristics. The S. aureus isolates also exhibit unique antimicrobial resistance profiles and harbour relatively high numbers of enterotoxin virulence genes, compared with other reports from China.Keywords: Staphylococcus aureus, molecular characteristics, antimicrobial resistance, virulence

Published
2020

8. Engineering of Long-Term Stable Transparent Nanoemulsion Using High-Gravity Rotating Packed Bed for Oral Drug Delivery

Author

Wu HR, Wang CQ, Wang JX, Chen JF, and Le Y

Subjects
nanoemulsion, high-gravity rotating packed bed, rosuvastatin calcium, silybinin, stability, in vitro dissolution, caco-2 permeability., Medicine (General), R5-920
Abstract

Hao-Ran Wu,1 Chuan-Qi Wang,1 Jie-Xin Wang,1,2 Jian-Feng Chen,1,2 Yuan Le1,2 1State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China; 2Research Center of the Ministry of Education for High Gravity Engineering and Technology, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of ChinaCorrespondence: Yuan LeState Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, Chaoyang District 100029, People’s Republic of ChinaEmail leyuan@mail.buct.edu.cnBackground: Oil-in-water drug nanoemulsion forms drug delivery systems with high oral bioavailability. The conventional fabrication methods of nanoemulsion are low energy emulsification methods and high energy emulsification methods. However, both two methods are not ideal for industrial production. The problem of low energy emulsification methods is the high dosage of surfactant and co-surfactant which has potential biosecurity issues. What is more, high energy emulsification methods have some disadvantages, like the destruction of drug components, the price of equipment and the difficulties of industrial production. Hence, there have been a few commercial drug nanoemulsions so far.Methods: In this work, we reported a novel method for the fabrication of stable and transparent drug nanoemulsion which contains hydrophilic drug rosuvastatin (ROS) calcium or hydrophobic drug silybinin (SYN) by using high-gravity rotating packed bed (RPB). The drug nanoemulsion was systematically characterized by droplet size, size distribution, stability and in vitro drug release as well as Caco-2 cells permeability.Results: Compared with the self-emulsification method (SE), high-gravity technology could reduce 75% amount of mixed surfactants. The as-prepared nanoemulsion exhibited a very narrow droplet size distribution with a size of 13.53 ± 0.53 nm and a polydispersity index of 0.073 ± 0.018. Meanwhile, the drug nanoemulsion was physicochemically stable at 25°C and 4°C for one-year storage. Furthermore, both ROS and SYN nanoemulsion displayed higher cell permeability and in vitro dissolution than that of commercial formulations.Conclusion: These results demonstrate that RPB can be a potential device to facilitate the industrial production of drug nanoemulsion.Keywords: nanoemulsion, high-gravity rotating packed bed, Rosuvastatin calcium, Silybinin, stability, in vitro dissolution, Caco-2 permeability

Published
2020

9. Interleukin-17A Deficiency Attenuated Emphysema and Bone Loss in Mice Exposed to Cigarette Smoke

Author

Xiong J, Tian J, Zhou L, Le Y, and Sun Y

Subjects
chronic obstructive pulmonary disease, osteoporosis, interleukin 17, receptor activator of nuclear factor-κb ligand, Diseases of the respiratory system, RC705-779
Abstract

Jing Xiong,1 Jieyu Tian,2 Lu Zhou,1 Yanqing Le,1 Yongchang Sun1 1Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People’s Republic of China; 2Hematology Oncology Center, Beijing Children’s Hospital, Capital Medical University, Beijing 100045, People’s Republic of ChinaCorrespondence: Yongchang SunDepartment of Respiratory and Critical Care Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, People’s Republic of ChinaTel +86 156 1196 3697Email suny@bjmu.edu.cnBackground and Purpose: Chronic obstructive pulmonary disease (COPD) is a common chronic inflammatory disease, which is associated with various comorbidities including osteoporosis. Interleukin(IL)-17 has been reported to play important roles in the pathogenesis of COPD and also associated with bone destruction in inflammatory diseases. However, the role of IL-17A in COPD-related osteoporosis is yet unknown. The purpose of our study was to investigate the potential contribution of IL-17A in COPD-related bone loss.Materials and Methods: We examined the bone mass and bone microarchitecture in wild-type and IL-17A-/- mice exposed to long-term cigarette smoke (CS). Osteoclast activities and the expression of receptor activator of nuclear factor-κB ligand (RANKL) in bone tissues were assessed, and the blood levels of inflammatory cytokines were measured.Results: Less bone loss as well as attenuated emphysema were shown in IL-17A-/- mice compared with wild-type mice. CS-exposed IL-17A-/- mice had decreased TRAP+ osteoclast numbers and lower RANKL expression compared with CS-exposed wild-type mice. Inflammatory cytokines including IL-6 and IL-1β in circulation were decreased in IL-17A-/- mice exposed to CS compared with wild-type mice.Conclusion: This study indicates that IL-17A is involved in CS-induced bone loss and may be a common link between COPD and osteoporosis.Keywords: chronic obstructive pulmonary disease, osteoporosis, interleukin 17, receptor activator of nuclear factor-κB ligand

Published
2020

10. In Situ Forming Injectable Hydrogel For Encapsulation Of Nanoiguratimod And Sustained Release Of Therapeutics

Author

Ma Z, Tao C, Sun L, Qi S, Le Y, Wang J, Li C, Liu X, Zhang J, and Zhao J

Subjects
iguratimod, nanoparticles, injectable hydrogel, rheumatoid arthritis, drug sustained release system, Medicine (General), R5-920
Abstract

Zhenzhen Ma,1,* Cheng Tao,2,* Lin Sun,1 Shengbei Qi,2 Yuan Le,2,3 Jiexin Wang,2–4 Changhong Li,1 Xiangyuan Liu,1 Jianjun Zhang,2 Jinxia Zhao1 1Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing 100191, People’s Republic of China; 2College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China; 3Research Center of the Ministry of Education for High Gravity Engineering and Technology, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China; 4Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianjun Zhang; Jinxia Zhao Email zhangjj@mail.buct.edu.cn; zhao-jinxia@163.comBackground: Iguratimod (IGUR) is a novel disease-modifying antirheumatic drug used for treating rheumatoid arthritis (RA). To improve its bioavailability and to alleviate gastrointestinal side effects, we changed the formulation into nanoiguratimod-loaded hydrogel (NanoIGUR-loaded hydrogel) composites for sustained release of therapeutics.Methods: IGUR was first encapsulated in biodegradable polyvinyl alcohol micelle by liquid antisolvent precipitation (LAP) technology, and then loaded into an in situ injectable hyaluronic acid hydrogel, which was cross-linked by PEG (Thiol)2 (HS-PEG-SH) through Michael addition reaction. In vitro, the biological effects (proliferation, migration, and invasion) of NanoIGUR-loaded hydrogel on fibroblast-like synoviocytes (RA-FLS) from RA patients were evaluated. In vivo, the pharmacokinetics of NanoIGUR-loaded hydrogel was assessed and the efficacy of NanoIGUR-loaded hydrogel in treating collagen-induced arthritis (CIA) rats was evaluated.Results: By the LAP technique, we acquired the amorphous form nanoiguratimod, with an average size of 458 nm, which had higher dissolution rates and higher stability. The release of IGUR from hydrogel composite in PBS was gradual and sustained for up to 72 hrs compared with nanoiguratimod. Different concentrations of NanoIGUR-loaded hydrogel inhibited the proliferation, migration, and invasion of RA-FLS. The pharmacokinetic parameters showed better bioavailability and longer half-life time with NanoIGUR-loaded hydrogel by subcutaneous administration than oral raw iguratimod. Animal experiments confirmed that subcutaneous injection of NanoIGUR-loaded hydrogel (10 mg/kg every 3 days) and oral raw iguratimod (10mg/kg daily) showed similar efficacy in decreasing arthritis index score, pathological score, and expression of inflammatory cytokines.Conclusion: Overall, we demonstrate that NanoIGUR-loaded hydrogel provides a new route of administration and extends the administration interval. It could be a promising drug-delivery approach in the management of RA.Keywords: iguratimod, nanoparticles, injectable hydrogel, rheumatoid arthritis, drug sustained-release system

Published
2019

11. Cigarette smoke-induced RANKL expression enhances MMP-9 production by alveolar macrophages

Author

Zhou L, Le Y, Tian J, Yang X, Jin R, Gai X, and Sun Y

Subjects
COPD, Receptor activator of nuclear factor-κB ligand, RANK, Alveolar macrophages, MMP-9, Diseases of the respiratory system, RC705-779
Abstract

Lu Zhou,1 Yanqing Le,1 Jieyu Tian,2 Xia Yang,2 Rong Jin,3 Xiaoyan Gai,1 Yongchang Sun1 1Department of Respiratory Medicine, Peking University Third Hospital, Beijing, China; 2Department of Respiratory Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China; 3Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Background and purpose: Cigarette smoke (CS) induces alveolar destruction through overproduction of proteinases including matrix metalloproteinase (MMP)-9 by alveolar macrophages (AMs). Receptor activator of nuclear factor-κB ligand (RANKL) functions in immune regulation and cytokine secretion; whether it is involved in CS-induced MMP-9 expression is unknown. The purpose of our study was to investigate the expression and functional role of RANKL pathway in MMP-9 production pertaining to the pathogenesis of COPD. Materials and methods: We first localized RANKL and its receptor RANK in the lungs of mice exposed to long-term CS exposure. Next, we studied RANKL and RANK expression under CS extract (CSE) stimulation in vitro. Lastly, we studied the in vitro biological function of RANKL in CS-induced production of MMP-9. Results: Both RANKL and RANK were highly expressed in AMs in CS-exposed mice, but not in the control mice. In vitro, CSE increased the expressions of RANKL and RANK in macrophages. AMs responded to CSE and RANKL stimulation by overexpressing MMP-9, and CSE-induced MMP-9 expression was partly blocked by using monoclonal anti-RANKL antibody. Conclusion: RANKL/RANK pathway mediates CS-induced MMP-9 expression in AMs, suggesting a novel mechanism for CS-associated emphysema. Keywords: COPD, receptor activator of nuclear factor-κB ligand, RANK, alveolar macrophages, MMP-9

Published
2018

18. Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at s = 13 TeV

Author

Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Dragicevic, M., Escalante Del Valle, A., Frühwirth, R., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Spanring, M., Templ, S., Waltenberger, W., Wulz, C.-E., Chekhovsky, V., Litomin, A., Makarenko, V., Darwish, M. R., De Wolf, E. A., Janssen, T., Kello, T., Lelek, A., Rejeb Sfar, H., Van Mechelen, P., Van Putte, S., Van Remortel, N., Blekman, F., Bols, E. S., D’Hondt, J., De Clercq, J., Delcourt, M., El Faham, H., Lowette, S., Moortgat, S., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Van Mulders, P., Beghin, D., Bilin, B., Clerbaux, B., De Lentdecker, G., Favart, L., Grebenyuk, A., Kalsi, A. K., Lee, K., Mahdavikhorrami, M., Makarenko, I., Moureaux, L., Pétré, L., Popov, A., Postiau, N., Starling, E., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Vannerom, D., Wezenbeek, L., Cornelis, T., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Niedziela, M., Roskas, C., Samalan, A., Skovpen, K., Tytgat, M., Verbeke, W., Vermassen, B., Vit, M., Bethani, A., Bruno, G., Bury, F., Caputo, C., David, P., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Mondal, K., Prisciandaro, J., Taliercio, A., Teklishyn, M., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Hensel, C., Moraes, A., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., BRANDAO MALBOUISSON, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Fonseca De Souza, S., Matos Figueiredo, D., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Rebello Teles, P., Santoro, A., Silva Do Amaral, S. 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T., Lukasik, M., Luo, J., Narain, M., Sagir, S., Usai, E., Wong, W. Y., Yan, X., Yu, D., Zhang, W., Bonilla, J., Brainerd, C., Breedon, R., Calderon De La Barca Sanchez, M., Chertok, M., Conway, J., Cox, P. T., Erbacher, R., Haza, G., Jensen, F., Kukral, O., Lander, R., Mulhearn, M., Pellett, D., Regnery, B., Taylor, D., Yao, Y., Zhang, F., Bachtis, M., Cousins, R., Datta, A., Hamilton, D., Hauser, J., Ignatenko, M., Iqbal, M. A., Lam, T., Nash, W. A., Regnard, S., Saltzberg, D., Stone, B., Valuev, V., Burt, K., Chen, Y., Clare, R., Gary, J. W., Gordon, M., Hanson, G., Karapostoli, G., Long, O. R., Manganelli, N., Olmedo Negrete, M., Si, W., Wimpenny, S., Zhang, Y., Branson, J. G., Chang, P., Cittolin, S., Cooperstein, S., Deelen, N., Diaz, D., Duarte, J., Gerosa, R., Giannini, L., Gilbert, D., Guiang, J., Kansal, R., Krutelyov, V., Lee, R., Letts, J., Masciovecchio, M., May, S., Pieri, M., Sathia Narayanan, B. 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R., Quach, D., Reichert, J., Reid, M., Ryd, A., Sun, W., Thom, J., Wittich, P., Zou, R., Albrow, M., Alyari, M., Apollinari, G., Apresyan, A., Apyan, A., Banerjee, S., Bauerdick, L. A. T., Berry, D., Berryhill, J., Bhat, P. C., Burkett, K., Butler, J. N., Canepa, A., Cerati, G. B., Cheung, H. W. K., Chlebana, F., Cremonesi, M., Di Petrillo, K. F., Elvira, V. D., Feng, Y., Freeman, J., Gecse, Z., Gray, L., Green, D., Grünendahl, S., Gutsche, O., Harris, R. M., Heller, R., Herwig, T. C., Hirschauer, J., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klijnsma, T., Klima, B., Kwok, K. H. M., Lammel, S., Lincoln, D., Lipton, R., Liu, T., Madrid, C., Maeshima, K., Mantilla, C., Mason, D., McBride, P., Merkel, P., Mrenna, S., Nahn, S., O’Dell, V., Papadimitriou, V., Pedro, K., Pena, C., Prokofyev, O., Ravera, F., Reinsvold Hall, A., Ristori, L., Schneider, B., Sexton-Kennedy, E., Smith, N., Soha, A., Spalding, W. J., Spiegel, L., Stoynev, S., Strait, J., Taylor, L., Tkaczyk, S., Tran, N. V., Uplegger, L., Vaandering, E. W., Weber, H. A., Acosta, D., Avery, P., Bourilkov, D., Cadamuro, L., Cherepanov, V., Errico, F., Field, R. D., Guerrero, D., Joshi, B. M., Kim, M., Koenig, E., Konigsberg, J., Korytov, A., Lo, K. H., Matchev, K., Menendez, N., Mitselmakher, G., Muthirakalayil Madhu, A., Rawal, N., Rosenzweig, D., Rosenzweig, S., Shi, K., Sturdy, J., Wang, J., Yigitbasi, E., Zuo, X., Adams, T., Askew, A., Habibullah, R., Hagopian, V., Johnson, K. F., Khurana, R., Kolberg, T., Martinez, G., Prosper, H., Schiber, C., Viazlo, O., Yohay, R., Zhang, J., Baarmand, M. M., Butalla, S., Elkafrawy, T., Hohlmann, M., Kumar Verma, R., Noonan, D., Rahmani, M., Yumiceva, F., Adams, M. R., Becerril Gonzalez, H., Cavanaugh, R., Chen, X., Dittmer, S., Evdokimov, O., Gerber, C. E., Hangal, D. A., Hofman, D. J., Merrit, A. H., Mills, C., Oh, G., Roy, T., Rudrabhatla, S., Tonjes, M. 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G., Koeth, T., Mignerey, A. C., Nabili, S., Seidel, M., Skuja, A., Wang, L., Wong, K., Abercrombie, D., Andreassi, G., Bi, R., Brandt, S., Busza, W., Cali, I. A., Chen, Y., D’Alfonso, M., Eysermans, J., Freer, C., Gomez Ceballos, G., Goncharov, M., Harris, P., Hu, M., Klute, M., Kovalskyi, D ., Krupa, J., Le, Y.-J., Maier, B., Mironov, C., Paus, C., Rankin, D., Roland, C., Roland, G., Shi, Z., Stephan, G. S. F., Tatar, K., Wang, J., Wang, Z., Wyslouch, B., Chatterjee, R. M., Evan, A., Hansen, P., Hiltbrand, J., Jain, Sh., Krohn, M., Kubota, Y., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Strobbe, N., Wadud, M. A., Bloom, K., Bryson, M., Chauhan, S., Claes, D. R., Fangmeier, C., Finco, L., Golf, F., Joo, C., Kravchenko, I., Musich, M., Reed, I., Siado, J. E., Snowt, G. 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P., Gandrakota, A., Gershtein, Y., Halkiadakis, E., Hart, A., Heindl, M., Karacheban, O., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Osherson, M., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Wang, H., Acharya, H., Delannoy, A. G., Spanier, S., Bouhali, O., Dalchenko, M., Delgado, A., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Kim, H., Luo, S., Malhotra, S., Mueller, R., Overton, D., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Hegde, V., Kunori, S., Lamichhane, K., Lee, S. W., Mengke, T., Muthumuni, S., Peltola, T., Volobouev, I., Wang, Z., Whitbeck, A., Appelt, E., Greene, S., Gurrola, A., Johns, W., Melo, A., Ni, H., Padeken, K., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Arenton, M. W., Cox, B., Cummings, G., Hakala, J., Hirosky, R., Joyce, M., Ledovskoy, A., Li, A., Neu, C., Tannenwald, B., White, S., Wolfe, E., Poudyal, N., Black, K., Bose, T., Buchanan, J., Caillol, C., Dasu, S., De Bruyn, I., Everaerts, P., Fienga, F., Galloni, C., He, H., Herndon, M., Hervé, A., Hussain, U., Lanaro, A., Loeliger, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Pinna, D., Savin, A., Shang, V., Sharma, V., Smith, W. H., Teague, D., Trembath-Reichert, S., and Vetens, W.

Published
2022
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22. Effectiveness and Safety of Whole-Body Electro-myostimulation on Musculoskeletal Diseases in Middle Aged-Older Adults - A Systematic Review.

Author

Le, Y. H., Kohl, M., von Stengel, S., Uder, M., and Kemmler, W.

Subjects
MUSCULOSKELETAL system diseases, KNEE pain, CHRONIC pain, ADULTS, KNEE osteoarthritis, OLDER people
Abstract

Whole-Body electromyostimulation (WB-EMS) is a time-effective, joint-friendly and consistently supervised exercise training technology particularly attractive to address health-related outcomes in middle-age to older adults. The present systematic review aims to summarize WB-EMS effects on musculoskeletal diseases and conditions in corresponding non-athletic cohorts. A systematic search in five electronic databases, two study registers and a hand search in Google Scholar without language restrictions up to March 2023 was conducted. We included only peer reviewed clinical trials and intervention studies on WB-EMS with non-athletic adult cohorts averaging 45 years and older addressing musculoskeletal diseases and conditions. Case reports, review articles, editorials, conference abstracts, or theses were not considered. Nineteen research projects with 22 articles focusing on the effect of WB-EMS on musculoskeletal diseases and conditions were identified. In summary high evidence for positive effects were reported for non-specific chronic low back pain and sarcopenia. Moderate evidence was provided for positive effects on knee osteoarthritis and non-significant positive effects on osteopenia. While two out of eight studies reported minor increases of biomarkers related to rhabdomyolysis, one study reported a single case of mild rhabdomyolysis after a WB-EMS session. No study reported clinically relevant adverse effects. In summary, we have provided further evidence for predominately positive effects of WB-EMS on musculoskeletal diseases and conditions along with a lack of clinically relevant adverse effects related to WB-EMS application in middle-aged and older cohorts. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Comparison of Three-jet Events in Proton-Antiproton Collisions at Center-of-mass Energy 1.8 TeV to Predictions from a Next-to-leading Order QCD Calculation

Author

Acosta, D., Affolder, T., Albrow, M. G., Ambrose, D., Amidei, D., Anikeev, K., Antos, J., Apollinari, G., Arisawa, T., Artikov, A., Ashmanskas, W., Azfar, F., Azzi-Bacchetta, P., Bacchetta, N., Bachacou, H., Badgett, W., Barbaro-Galtieri, A., Barnes, V. E., Barnett, B. A., Baroiant, S., Barone, M., Bauer, G., Bedeschi, F., Behari, S., Belforte, S., Bell, W. H., Bellettini, G., Bellinger, J., Benjamin, D., Beretvas, A., Bhatti, A., Binkley, M., Bisello, D., Bishai, M., Blair, R. E., Blocker, C., Bloom, K., Blumenfeld, B., Bocci, A., Bodek, A., Bolla, G., Bolshov, A., Bortoletto, D., Boudreau, J., Bromberg, C., Brubaker, E., Budagov, J., Budd, H. S., Burkett, K., Busetto, G., Byrum, K. L., Cabrera, S., Campbell, M., Carithers, W., Carlsmith, D., Castro, A., Cauz, D., Cerri, A., Cerrito, L., Chapman, J., Chen, C., Chen, Y. C., Chertok, M., Chiarelli, G., Chlachidze, G., Chlebana, F., Chu, M. L., Chung, J. Y., Chung, W. -H., Chung, Y. S., Ciobanu, C. I., Clark, A. G., Coca, M., Connolly, A., Convery, M., Conway, J., Cordelli, M., Cranshaw, J., Culbertson, R., Dagenhart, D., D'Auria, S., de Barbaro, P., De Cecco, S., Dell'Agnello, S., Dell'Orso, M., Demers, S., Demortier, L., Deninno, M., De Pedis, D., Derwent, P. F., Dionisi, C., Dittmann, J. R., Dominguez, A., Donati, S., D'Onofrio, M., Dorigo, T., Eddy, N., Erbacher, R., Errede, D., Errede, S., Eusebi, R., Farrington, S., Feild, R. G., Fernandez, J. P., Ferretti, C., Field, R. D., Fiori, I., Flaugher, B., Flores-Castillo, L. R., Foster, G. W., Franklin, M., Friedman, J., Furic, I., Gallinaro, M., Garfinkel, A. F., Gay, C., Gerdes, D. W., Gerstein, E., Giagu, S., Giannetti, P., Giolo, K., Giordani, M., Giromini, P., Glagolev, V., Glenzinski, D., Gold, M., Goldschmidt, N., Goldstein, J., Gomez, G., Goncharov, M., Gorelov, I., Goshaw, A. T., Gotra, Y., Goulianos, K., Gresele, A., Grosso-Pilcher, C., Guenther, M., da Costa, J. Guimaraes, Haber, C., Hahn, S. R., Halkiadakis, E., Handler, R., Happacher, F., Hara, K., Harris, R. M., Hartmann, F., Hatakeyama, K., Hauser, J., Heinrich, J., Hennecke, M., Herndon, M., Hill, C., Hocker, A., Hoffman, K. D., Hou, S., Huffman, B. T., Hughes, R., Huston, J., Issever, C., Incandela, J., Introzzi, G., Iori, M., Ivanov, A., Iwata, Y., Iyutin, B., James, E., Jones, M., Kamon, T., Kang, J., Unel, M. Karagoz, Kartal, S., Kasha, H., Kato, Y., Kennedy, R. D., Kephart, R., Kilminster, B., Kim, D. H., Kim, H. S., Kim, M. J., Kim, S. B., Kim, S. H., Kim, T. H., Kim, Y. K., Kirby, M., Kirsch, L., Klimenko, S., Koehn, P., Kondo, K., Konigsberg, J., Korn, A., Korytov, A., Kroll, J., Kruse, M., Krutelyov, V., Kuhlmann, S. E., Kuznetsova, N., Laasanen, A. T., Lami, S., Lammel, S., Lancaster, J., Lannon, K., Lancaster, M., Lander, R., Lath, A., Latino, G., LeCompte, T., Le, Y., Lee, J., Lee, S. W., Leonardo, N., Leone, S., Lewis, J. D., Li, K., Lin, C. S., Lindgren, M., Liss, T. M., Liu, T., Litvintsev, D. O., Lockyer, N. S., Loginov, A., Loreti, M., Lucchesi, D., Lukens, P., Lyons, L., Lys, J., Madrak, R., Maeshima, K., Maksimovic, P., Malferrari, L., Mangano, M., Manca, G., Mariotti, M., Martin, M., Martin, A., Martin, V., Martinez, M., Mazzanti, P., McFarland, K. S., McIntyre, P., Menguzzato, M., Menzione, A., Merkel, P., Mesropian, C., Meyer, A., Miao, T., Miller, R., Miller, J. S., Miscetti, S., Mitselmakher, G., Moggi, N., Moore, R., Moulik, T., Mulhearn, M., Mukherjee, A., Muller, T., Munar, A., Murat, P., Nachtman, J., Nahn, S., Nakano, I., Napora, R., Niell, F., Nelson, C., Nelson, T., Neu, C., Neubauer, M. S., Newman-Holmes, C., Nigmanov, T., Nodulman, L., Oh, S. H., Oh, Y. D., Ohsugi, T., Okusawa, T., Orejudos, W., Pagliarone, C., Palmonari, F., Paoletti, R., Papadimitriou, V., Patrick, J., Pauletta, G., Paulini, M., Pauly, T., Paus, C., Pellett, D., Penzo, A., Phillips, T. J., Piacentino, G., Piedra, J., Pitts, K. T., Pompos, A., Pondrom, L., Pope, G., Pratt, T., Prokoshin, F., Proudfoot, J., Ptohos, F., Poukhov, O., Punzi, G., Rademacker, J., Rakitine, A., Ratnikov, F., Ray, H., Reichold, A., Renton, P., Rescigno, M., Rimondi, F., Ristori, L., Robertson, W. J., Rodrigo, T., Rolli, S., Rosenson, L., Roser, R., Rossin, R., Rott, C., Roy, A., Ruiz, A., Ryan, D., Safonov, A., Denis, R. St., Sakumoto, W. K., Saltzberg, D., Sanchez, C., Sansoni, A., Santi, L., Sarkar, S., Savard, P., Savoy-Navarro, A., Schlabach, P., Schmidt, E. E., Schmidt, M. P., Schmitt, M., Scodellaro, L., Scribano, A., Sedov, A., Seidel, S., Seiya, Y., Semenov, A., Semeria, F., Shapiro, M. D., Shepard, P. F., Shibayama, T., Shimojima, M., Shochet, M., Sidoti, A., Sill, A., Sinervo, P., Slaughter, A. J., Sliwa, K., Snider, F. D., Snihur, R., Spezziga, M., Spinella, F., Spiropulu, M., Spiegel, L., Stefanini, A., Strologas, J., Stuart, D., Sukhanov, A., Sumorok, K., Suzuki, T., Takashima, R., Takikawa, K., Tanaka, M., Tecchio, M., Tesarek, R. J., Teng, P. K., Terashi, K., Tether, S., Thom, J., Thomas, T. L., Thompson, A. S., Thomson, E., Tipton, P., Tkaczyk, S., Toback, D., Tollefson, K., Tonelli, D., Toennesmann, M., Toyoda, H., Trischuk, W., Tseng, J., Tsybychev, D., Turini, N., Ukegawa, F., Unverhau, T., Vaiciulis, T., Varganov, A., Vataga, E., Vejcik III, S., Velev, G., Veramendi, G., Vidal, R., Vila, I., Vilar, R., Volobouev, I., von der Mey, M., Wagner, R. G., Wagner, R. L., Wagner, W., Wan, Z., Wang, C., Wang, M. J., Wang, S. M., Ward, B., Waschke, S., Waters, D., Watts, T., Weber, M., Wester III, W. C., Whitehouse, B., Wicklund, A. B., Wicklund, E., and Williams, H. H.

Subjects
High Energy Physics - Experiment
Abstract

The properties of three-jet events with total transverse energy greater than 320 GeV and individual jet energy greater than 20 GeV have been analyzed and compared to absolute predictions from a next-to-leading order (NLO) perturbative QCD calculation. These data, of integrated luminosity 86 pb^-1, were recorded by the CDF Experiment for proton-antiproton collisions at sqrt{s}=1.8 TeV. This study tests a model of higher order QCD processes that result in gluon emission and can be used to estimate the magnitude of the contribution of processes higher than NLO. The total cross section is measured to be 466 +/- 3(stat.)^{+207}_{-70}(syst.) pb. The differential cross section is furthermore measured for all kinematically accessible regions of the Dalitz plane, including those for which the theoretical prediction is unreliable. While the measured cross section is consistent with the theoretical prediction in magnitude, the two differ somewhat in shape in the Dalitz plane.

Published
2004
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26. Miss

Author

Le, Y., primary, Wang, R., additional, Xing, H., additional, Chen, H., additional, Song, X., additional, and He, Y., additional

Published
2023
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30. Eight lessons from 2 years of use of the Post-COVID-19 Functional Status scale

Author

de Jong, Cindy M M; https://orcid.org/0000-0002-2310-5820, Le, Y N Jenny; https://orcid.org/0000-0003-0729-4016, Boon, Gudula J A M; https://orcid.org/0000-0003-4532-436X, Barco, Stefano; https://orcid.org/0000-0002-2618-347X, Klok, Frederikus A; https://orcid.org/0000-0001-9961-0754, Siegerink, Bob; https://orcid.org/0000-0002-8454-9142, de Jong, Cindy M M; https://orcid.org/0000-0002-2310-5820, Le, Y N Jenny; https://orcid.org/0000-0003-0729-4016, Boon, Gudula J A M; https://orcid.org/0000-0003-4532-436X, Barco, Stefano; https://orcid.org/0000-0002-2618-347X, Klok, Frederikus A; https://orcid.org/0000-0001-9961-0754, and Siegerink, Bob; https://orcid.org/0000-0002-8454-9142

Abstract

Based on the literature and users’ experiences, lessons could be learned after 2 years’ use of the Post-COVID-19 Functional Status (PCFS) scale, that could contribute to its optimal use. All in all, the PCFS scale provided added value during the pandemic. https://bit.ly/3KkI5Ak

Published
2023

31. How does digital economy affect the industry chain resilience in China?

Author

Haijie Wang, Le Yang, and Yanchao Feng

Subjects
History of scholarship and learning. The humanities, AZ20-999, Social Sciences
Abstract

Abstract Based on the annual reports and input–output table data of Chinese listed companies from 2008 to 2020, this paper measures the level of digital transformation of enterprises by using the keyword word frequency index in the annual reports of listed companies and reveals the impact and mechanism of digital transformation of enterprises on industry chain elasticity by using a panel data model. Additionally, it provides a theoretical explanation of how the digital revolution of businesses affects industrial chain resilience. The outcome shows that improving industrial chain resilience can be facilitated by businesses undergoing a digital transition. Moreover, factor mismatch can be reduced by corporate digital transformation, which enhances industrial chain resilience. Furthermore, the beneficial effects of the digital revolution on industrial chain resilience will be enhanced by politically linked businesses. The main conclusions contribute to our understanding of the relationship between industrial chain resilience and enterprises’ digital transformation. It also offers crucial policy recommendations and guidance that the government can use to create sensible digital economy policies and successfully direct businesses’ digital transformations in order to strengthen the industrial chain resilience.

Published
2024
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32. Ciprofol versus propofol for anesthesia induction in cardiac surgery: a randomized double-blind controlled clinical trial

Author

Le Yu, Xiang Liu, Xiang Zhao, Xiu Shan, Evelyne Bischof, and Hui-hong Lu

Subjects
Ciprofol, Propofol, Coronary artery bypass graft, Heart valve replacement, Anesthesia induction, Anesthesiology, RD78.3-87.3
Abstract

Abstract Background Ciprofol, a novel intravenous general anesthetic with a chemical structure similar to propofol, exhibits significantly enhanced potency. It offers a rapid onset, reduced incidence of injection pain, and has comparable effects on heart rate and blood pressure to propofol. However, clinical data on its use for anesthesia induction in cardiac surgery remain limited. Methods Seventy-eight patients undergoing coronary artery bypass grafting or valve replacement surgery were randomly assigned to receive either ciprofol (N = 40) or propofol (N = 38) for anesthesia induction. Variables recorded included changes in mean arterial pressure and heart rate during anesthesia, alterations in the oxygenation index and lactic acid concentration before and 10 min after anesthesia induction, and the incidence of adverse events such as bradycardia, hypotension, and injection pain. Results The incidence of anesthesia-induced injection pain was significantly lower in the ciprofol group compared to the propofol group (3% vs. 18%, P

Published
2024
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33. Bilateral fusion low‐light image enhancement with implicit information constraints

Author

Jiahui Zhu, Shengbo Sang, Aoqun Jian, Le Yang, Luxiao Sang, Yang Ge, Rihui Kang, LiuWei Yang, Lei Tao, and RunFang Hao

Subjects
gradient methods, image enhancement, image fusion, neural net architecture, Photography, TR1-1050, Computer software, QA76.75-76.765
Abstract

Abstract Research on low‐light image enhancement focuses on improving image quality in dim conditions. Recently, deep learning has driven significant advancements, with many studies using neural networks to enhance low‐light images. However, most focus on complex network designs to increase nonlinearity, often neglecting the implicit information from local image transformations. This paper introduces an improved U‐net‐based method for low‐light enhancement, retaining the original encoding network and adding branch links in the decoding network. The method uses attention feature fusion to handle image noise and gradients separately, adjusting brightness through a gradient‐adaptive transform. This approach optimizes performance using loss functions like peak signal‐to‐noise ratio and colour consistency. Unlike previous methods, the approach emphasizes extracting implicit information from image gradients, achieving enhancement that aligns with the original brightness distribution. The result is enhanced images with high detail similarity to the original, achieved through end‐to‐end inference in experiments.

Published
2024
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34. Fabrication of Al/Ni core–shell pigments via galvanic displacement and their application in radar-infrared compatible stealth coatings

Author

Biao Wei, Xiaolong Weng, Le Yuan, Jingwei Hu, Yaqin Wang, Lun Qi, and Mei Bi

Subjects
Al/Ni core–shell structure, Infrared low emissivity, Impedance matching, Infrared-radar compatible stealth, Mining engineering. Metallurgy, TN1-997
Abstract

The Al/Ni magnetic core–shell pigments were successfully synthesized in this study using the galvanic displacement method. A dense nickel shell was formed on the surface of a flake Al pigment (Al:Ni2+ = 1:0.5), resulting in a decrease in its lightness by 9 units while only slightly increasing the average infrared emissivity by 0.1 compared with the uncoated flake Al pigments. And it also exhibited soft magnetic characteristics, with a saturated magnetization value of 4.5 emu/g. Moreover, the impact of Al/Ni core-shell pigments on the infrared-radar stealth performance of the target was investigated based on the structure of “low-emissivity coating (LEC) + radar absorbing coating (RAC)”. The results showed that the emissivity of Al/Ni composite coatings maintained a low infrared emissivity (ε ≤ 0.23). The introduction of Ni shell improved the impedance matching between the Al/Ni coating and free space, allowing greater penetration of microwaves into the LEC and improving radar stealth performance of materials. The Al/Ni composite coatings (Al:Ni2+ = 1:0.5, the thickness of RAC:1.2 mm, and LEC: 60 μm) exhibited an extended effective absorption bandwidth (Reflection loss (RL) ≤ −10 dB) from 2.6 to 4.25 GHz and an enhancement of the average RL from −6.43 to −7.1 dB in the range of 2–18 GHz compared to the RAC. Consequently, the Al/Ni magnetic core–shell pigments can be used as novel low-emissivity pigments for infrared-radar compatible stealth research.

Published
2024
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35. Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at root s=13 TeV

Author

Tumasyan, Armen, Adam, Wolfgang, Lechner, Lukas, Alves, Gilvan, Kim, Dong Hee, Kim, Gui Nyun, Kim, Jiwoong, Lee, Jeongeun, Lee, Seh Wook, Moon, Chang-Seong, Oh, Young Do, Pak, Sang Il, Radburn-Smith, Benjamin Charles, Sekmen, Sezen, Hensel, Carsten, Yang, Yu Chul, Kim, Hyunchul, Moon, Dong Ho, Francois, Brieuc, Kim, Tae Jeong, Park, Jiwon, Cho, Sungwoong, Choi, Suyong, Go, Yeonju, Hong, Byung-Sik, Moraes, Arthur, Lee, Kisoo, Lee, Kyong Sei, Lim, Jaehoon, Park, Jaebeom, Park, Sung Keun, Yoo, Jaehyeok, Goh, Junghwan, Gurtu, Atul, Kim, Hyunsoo, Kim, Yongsun, Aldá Júnior, Walter Luiz, Almond, John, Bhyun, Ji Hwan, Choi, Junho, Jeon, Sihyun, Kim, Junho, Kim, Jae Sung, Ko, Sanghyun, Kwon, Hyejin, Lee, Haneol, Lee, Sangeun, Alves Gallo Pereira, Miguel, Oh, Byung Hun, Oh, Minseok, Oh, Sung Bin, Seo, Hyonsan, Yang, Unki, Yoon, Inseok, Jang, Woojin, Jeon, Dajeong, Kang, Da Young, Kang, Yechan, Barroso Ferreira Filho, Mapse, Kim, Ji Hyun, Kim, Seulgi, Ko, Byeonghak, Lee, Jason Sang Hun, Lee, Yunjae, Park, Inkyu, Roh, Youn, Ryu, Min Sang, Song, Donghyun, Watson, I. J., Brandao Malbouisson, Helena, Yang, Seungjin, Ha, Seungkyu, Yoo, Hwi Dong, Choi, Minuk, Jeong, Yongho, Lee, Heewon, Lee, Yonghoon, Yu, Intae, Beyrouthy, Taha, Maghrbi, Yasser, Carvalho, Wagner, Torims, Toms, Veckalns, Viesturs, Ambrozas, Marijus, Carvalho Antunes De Oliveira, Alexandra, Juodagalvis, Andrius, Rinkevicius, Aurelijus, Tamulaitis, Gintautas, Bin Norjoharuddeen, Nurfikri, Wan Abdullah, Wan Ahmad Tajuddin, Yusli, Mohd Nizam, Chinellato, Jose, Zolkapli, Zukhaimira, Benitez, Jose F, Castaneda Hernandez, Alfredo, León Coello, Moisés, Murillo Quijada, Javier Alberto, Sehrawat, Ashish, Valencia Palomo, Lizardo, Ayala, Gabriel, Castilla-Valdez, Heriberto, De La Cruz-Burelo, Eduard, Da Costa, Eliza Melo, Heredia-De La Cruz, Ivan, Lopez-Fernandez, Ricardo, Mondragon Herrera, Cesar Atzin, Perez Navarro, Daniel Alejandro, Sánchez Hernández, Alberto, Carrillo Moreno, Salvador, Oropeza Barrera, Cristina, Ramírez García, Mateo, Vazquez Valencia, Fabiola, Pedraza, Isabel, Liko, Dietrich, Da Silveira, Gustavo Gil, Salazar Ibarguen, Humberto Antonio, Uribe Estrada, Cecilia, Mijuskovic, Jelena, Raicevic, Natasa, Krofcheck, David, Bheesette, Srinidhi, Butler, Philip H, Ahmad, Ashfaq, Asghar, Muhammad Irfan, Awais, Ali, De Jesus Damiao, Dilson, Awan, Muhammad Imran Malik, Hoorani, Hafeez R, Khan, Wajid Ali, Shah, Mehar Ali, Shoaib, Muhammad, Waqas, Muhammad, Avati, Valentina, Grzanka, Leszek, Malawski, Maciej, Bialkowska, Helena, Fonseca De Souza, Sandro, Bluj, Michal, Boimska, Bozena, Górski, Maciej, Kazana, Malgorzata, Szleper, Michal, Zalewski, Piotr, Bunkowski, Karol, Doroba, Krzysztof, Kalinowski, Artur, Konecki, Marcin, Matos Figueiredo, Diego, Krolikowski, Jan, Walczak, Marek, Araujo, Mariana, Bargassa, Pedrame, Bastos, Diogo, Boletti, Alessio, Faccioli, Pietro, Gallinaro, Michele, Hollar, Jonathan, Leonardo, Nuno, Mora Herrera, Clemencia, Niknejad, Tahereh Sadat, Pisano, Matteo, Seixas, Joao, Toldaiev, Oleksii, Varela, Joao, Afanasiev, Serguei, Budkouski, Dzmitry, Golutvin, Igor, Gorbunov, Ilya, Karjavine, Vladimir, Mota Amarilo, Kevin, Korenkov, Vladimir, Lanev, Alexander, Malakhov, Alexander, Matveev, Viktor, Palichik, Vladimir, Perelygin, Victor, Savina, Maria, Seitova, Diana, Shalaev, Vladislav, Shmatov, Sergey, Mundim, Luiz, Shulha, Siarhei, Smirnov, Vitaly, Teryaev, Oleg, Voytishin, Nikolay, Yuldashev, Bekhzod S, Zarubin, Anatoli, Zhizhin, Ilia, Gavrilov, Genady, Golovtcov, Victor, Ivanov, Yury, Nogima, Helio, Kim, Victor, Kuznetsova, Ekaterina, Murzin, Victor, Oreshkin, Vadim, Smirnov, Igor, Sosnov, Dmitry, Sulimov, Valentin, Uvarov, Lev, Volkov, Serguei, Vorobyev, Alexey, Rebello Teles, Patricia, Andreev, Yuri, Andreev, Yu., Dermenev, Alexander, Gninenko, Sergei, Golubev, Nikolai, Karneyeu, Anton, Kirpichnikov, Dmitrii, Kirsanov, Mikhail, Krasnikov, Nikolai, Pashenkov, Anatoli, Santoro, Alberto, Pivovarov, Grigory, Tlisov, Danila, Toropin, Alexander, Epshteyn, Vladimir, Gavrilov, Vladimir, Lychkovskaya, Natalia, Nikitenko, Alexander, Popov, Vladimir, Spiridonov, Alexander, Stepennov, Anton, Mikulec, Ivan, Silva Do Amaral, Sheila Mara, Toms, Maria, Vlasov, Evgueni, Zhokin, Alexander, Aushev, Tagir, Chistov, Ruslan, Danilov, Mikhail, Oskin, Andrei, Parygin, Pavel, Polikarpov, Sergey, Andreev, Vladimir, Sznajder, Andre, Azarkin, Maksim, Dremin, Igor, Kirakosyan, Martin, Terkulov, Adel, Belyaev, Andrey, Boos, Edouard, Bunichev, Viacheslav, Dubinin, Mikhail, Dudko, Lev, Ershov, Alexander, Thiel, Mauricio, Gribushin, Andrey, Klyukhin, Vyacheslav, Kodolova, Olga, Lokhtin, Igor, Obraztsov, Stepan, Perfilov, Maxim, Savrin, Viktor, Blinov, Vladimir, Dimova, Tatyana, Kardapoltsev, Leonid, Torres Da Silva De Araujo, Felipe, Kozyrev, Aleksei, Ovtin, Ivan, Skovpen, Yuri, Azhgirey, Igor, Bayshev, Igor, Elumakhov, Dmitry, Kachanov, Vassili, Konstantinov, Dmitri, Mandrik, Petr, Petrov, Vladimir, Vilela Pereira, Antonio, Ryutin, Roman, Slabospitskii, Sergei, Sobol, Andrei, Troshin, Sergey, Tyurin, Nikolay, Uzunian, Andrey, Volkov, Alexey, Babaev, Anton, Okhotnikov, Vitalii, Borshch, Vladislav, Bernardes, Cesar Augusto, Ivantchenko, Vladimir, Tcherniaev, Evgueni, Adzic, Petar, Dordevic, Milos, Milenovic, Predrag, Milosevic, Jovan, Aguilar-Benitez, Manuel, Alcaraz Maestre, Juan, Álvarez Fernández, Adrian, Bachiller, Irene, Calligaris, Luigi, Barrio Luna, Mar, Fernandez Bedoya, Cristina, Carrillo Montoya, Camilo Andres, Cepeda, Maria, Cerrada, Marcos, Colino, Nicanor, De La Cruz, Begona, Delgado Peris, Antonio, Fernández Ramos, Juan Pablo, Flix, Jose, Fernandez Perez Tomei, T. R., Fouz, Maria Cruz, Gonzalez Lopez, Oscar, Goy Lopez, Silvia, Hernandez, Jose M, Josa, Maria Isabel, León Holgado, Jaime, Moran, Dermot, Navarro Tobar, Álvaro, Pérez-Calero Yzquierdo, Antonio María, Puerta Pelayo, Jesus, De Moraes Gregores, Eduardo, Redondo, Ignacio, Romero, Luciano, Sánchez Navas, Sergio, Urda Gómez, Lourdes, Willmott, Carlos, de Trocóniz, Jorge F, Reyes-Almanza, Rogelio, Alvarez Gonzalez, Barbara, Cuevas, Javier, Erice, Carlos, De Souza Lemos, Dener, Fernandez Menendez, Javier, Folgueras, Santiago, Gonzalez Caballero, Isidro, González Fernández, Juan Rodrigo, Palencia Cortezon, Enrique, Ramón Álvarez, Clara, Ripoll Sau, Joan, Rodríguez Bouza, Víctor, Trapote, Andrea, Trevisani, Nicolò, Paulitsch, Peter, Mercadante, Pedro G, Brochero Cifuentes, Javier Andres, Cabrillo, Iban Jose, Calderon, Alicia, Duarte Campderros, Jordi, Fernandez, Marcos, Fernandez Madrazo, Celia, Fernández Manteca, Pedro José, García Alonso, Andrea, Gomez, Gervasio, Martinez Rivero, Celso, Novaes, Sergio F, Martinez Ruiz del Arbol, Pablo, Matorras, Francisco, Matorras Cuevas, Pablo, Piedra Gomez, Jonatan, Prieels, Cédric, Rodrigo, Teresa, Ruiz-Jimeno, Alberto, Scodellaro, Luca, Vila, Ivan, Vizan Garcia, Jesus Manuel, Padula, Sandra S., Malagalage, Kithsiri, Kailasapathy, Balashangar, Sonnadara, Don Upul Jayasiri, Dhammage, Deshitha Chamikara Wickramarathna, Dharmaratna, Welathantri GD, Liyanage, Kalpanie, Perera, Nimantha, Wickramage, Nadeesha, Aarrestad, Thea Klaeboe, Abbaneo, Duccio, Aleksandrov, Aleksandar, Alimena, Juliette, Auffray, Etiennette, Auzinger, Georg, Baechler, Joachim, Baillon, Paul, Barney, David, Bendavid, Joshua, Bianco, Michele, Bocci, Andrea, Camporesi, Tiziano, Antchev, Georgy, Capeans Garrido, Maria, Cerminara, Gianluca, Chhibra, Simranjit Singh, Cipriani, Marco, Cristella, Leonardo, D'Enterria, David, Dabrowski, Anne, Daci, Nadir, David Tinoco Mendes, Andre, De Roeck, Albert, Hadjiiska, Roumyana, Defranchis, Matteo Maria, Deile, Mario, Dobson, Marc, Dünser, Marc, Dupont, Niels, Elliott-Peisert, Anna, Emriskova, Natalia, Fallavollita, Francesco, Fasanella, Daniele, Fiorendi, Sara, Iaydjiev, Plamen, Florent, Alice, Franzoni, Giovanni, Funk, Wolfgang, Giani, Simone, Gigi, Dominique, Gill, Karl, Glege, Frank, Gouskos, Loukas, Haranko, Mykyta, Hegeman, Jeroen, Misheva, Milena, Iiyama, Yutaro, Innocente, Vincenzo, James, Thomas, Janot, Patrick, Kaspar, Jan, Kieseler, Jan, Komm, Matthias, Kratochwil, Nicolaus, Lange, Clemens, Laurila, Santeri, Rodozov, Mircho, Lecoq, Paul, Long, Kenneth, Lourenco, Carlos, Malgeri, Luca, Mallios, Stavros, Mannelli, Marcello, Marini, Andrea Carlo, Meijers, Frans, Mersi, Stefano, Meschi, Emilio, Shopova, Mariana, Moortgat, Filip, Mulders, Martijn, Orfanelli, Styliani, Orsini, Luciano, Pantaleo, Felice, Pape, Luc, Perez, Emmanuel, Peruzzi, Marco, Petrilli, Achille, Petrucciani, Giovanni, Pitters, Florian Michael, Sultanov, Georgi, Pfeiffer, Andreas, Pierini, Maurizio, Piparo, Danilo, Pitt, Michael, Qu, Huilin, Quast, Thorben, Rabady, Dinyar, Racz, Attila, Reales Gutiérrez, Guillermo, Rieger, Marcel, Dimitrov, Anton, Rovere, Marco, Sakulin, Hannes, Salfeld-Nebgen, Jakob, Scarfi, Simone, Schäfer, Christoph, Schwick, Christoph, Selvaggi, Michele, Sharma, Archana, Silva, Pedro, Snoeys, Walter, Ivanov, Todor, Sphicas, Paraskevas, Summers, Sioni, Tavolaro, Vittorio Raoul, Treille, Daniel, Tsirou, Andromachi, Van Onsem, Gerrit Patrick, Verzetti, Mauro, Wanczyk, Joanna, Wozniak, Kinga Anna, Zeuner, Wolfram Dietrich, Litov, Leander, Caminada, Lea, Ebrahimi, Aliakbar, Erdmann, Wolfram, Horisberger, Roland, Ingram, Quentin, Kaestli, Hans-Christian, Kotlinski, Danek, Langenegger, Urs, Missiroli, Marino, Rohe, Tilman, Pavlov, Borislav, Androsov, Konstantin, Backhaus, Malte, Berger, Pirmin, Calandri, Alessandro, Chernyavskaya, Nadezda, De Cosa, Annapaola, Dissertori, Günther, Dittmar, Michael, Donegà, Mauro, Dorfer, Christian, Petkov, Peicho, Eble, Florian, Gedia, Krunal, Glessgen, Franz, Gómez 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Kaya, Ozlem, Özçelik, Özlem, Tekten, Sevgi, Yetkin, Elif Asli, Cakir, Altan, Cankocak, Kerem, Komurcu, Yildiray, Hu, Zhen, Sen, Sercan, Cerci, Salim, Sunar Cerci, Deniz, Kaynak, Berkan, Ozkorucuklu, Suat, Sunar Cerci, D., Grynyov, Boris, Levchuk, Leonid, Anthony, David, Bhal, Eshwen, Martins, Jordan, Bologna, Simone, Brooke, James John, Bundock, Aaron, Clement, Emyr, Cussans, David, Flacher, Henning, Goldstein, Joel, Heath, Greg P, Heath, Helen F, Holmberg, Mei-li, Wang, Yi, Kreczko, Lukasz, Krikler, Benjamin, Paramesvaran, Sudarshan, Seif El Nasr-Storey, Sarah, Smith, Vincent J, Stylianou, Nicolas, Walkingshaw Pass, Katie, White, Robert, Bell, Ken W, Belyaev, Alexander, Yi, Kai, Brew, Christopher, Brown, Robert M, Cockerill, David JA, Cooke, Charlotte, Ellis, Katherine Victoria, Harder, Kristian, Harper, Sam, Linacre, Jacob, Manolopoulos, Konstantinos, Newbold, Dave M, Schöfbeck, Robert, Chapon, Emilien, Olaiya, Emmanuel, Petyt, David, Reis, Thomas, Schuh, Thomas, Shepherd-Themistocleous, Claire, Tomalin, Ian R, Williams, Thomas, Bainbridge, Robert, Bloch, Philippe, Bonomally, Shameena, Chen, Guo-Ming, Borg, Johan, Breeze, Shane, Buchmuller, Oliver, Cepaitis, Vilius, Chahal, Gurpreet Singh, Colling, David, Dauncey, Paul, Davies, Gavin, Della Negra, Michel, Fayer, Simon, Chen, He-Sheng, Fedi, Giacomo, Hall, Geoffrey, Hassanshahi, Mohammad Hassan, Iles, Gregory, Langford, Jonathon, Lyons, Louis, Magnan, Anne-Marie, Malik, Sarah, Martelli, Arabella, Monk, David Gabriel, Chen, Mingshui, Nash, Jordan, Pesaresi, Mark, Raymond, David Mark, Richards, Alexander, Rose, Andrew, Scott, Edward, Seez, Christopher, Shtipliyski, Antoni, Tapper, Alexander, Uchida, Kirika, Iemmi, Fabio, Virdee, Tejinder, Vojinovic, Milos, Wardle, Nicholas, Webb, Samuel Nathan, Winterbottom, Daniel, Zecchinelli, Angelo Giacomo, Coldham, Kathryn, Cole, Joanne, Khan, Akram, Kyberd, Paul, Kapoor, Anshul, Reid, Ivan, Teodorescu, Liliana, Zahid, Sema, Abdullin, Salavat, Brinkerhoff, Andrew, Caraway, Bryan, Dittmann, Jay, Hatakeyama, Kenichi, Kanuganti, Ankush Reddy, McMaster, Brooks, Leggat, Duncan, Pastika, Nathaniel, Saunders, Mark, Sawant, Siddhesh, Sutantawibul, Chosila, Wilson, Jonathan, Bartek, Rachel, Dominguez, Aaron, Uniyal, Rishabh, Vargas Hernandez, Andres Mateus, Buccilli, Andrew, Liao, Hongbo, Cooper, Seth, Di Croce, Davide, Gleyzer, Sergei V, Henderson, Conor, Perez, Cilicia Uzziel, Rumerio, Paolo, West, Christopher, Akpinar, Alp, Albert, Andreas, Arcaro, Daniel, Liu, Zhenan, Cosby, Christopher, Demiragli, Zeynep, Fontanesi, Elisa, Gastler, Daniel, Rohlf, James, Salyer, Kaitlin, Sperka, David, Spitzbart, Daniel, Suarez, Indara, Tsatsos, Anna, Milosevic, Vukasin, Yuan, Siqi, Zou, David, Benelli, Gabriele, Burkle, Bjorn, Coubez, Xavier, Cutts, David, Hadley, Mary, Heintz, Ulrich, Hogan, Julie Managan, Landsberg, Greg, Spanring, Markus, Monti, Fabio, Lau, Ka Tung, Lukasik, Michael, Luo, Jingyu, Narain, Meenakshi, Sagir, Sinan, Usai, Emanuele, Wong, Wing Yan, Yan, Xuli, Yu, David, Zhang, Wenyu, Sharma, Ramkrishna, Bonilla, Johan, Brainerd, Christopher, Breedon, Richard, Calderon De La Barca Sanchez, Manuel, Chertok, Maxwell, Conway, John, Cox, Peter Timothy, Erbacher, Robin, Haza, Grace, Jensen, Frank, Tao, Junquan, Kukral, Ota, Lander, Richard, Mulhearn, Michael, Pellett, Dave, Regnery, Brendan, Taylor, Devin, Yao, Yao, Zhang, Fengwangdong, Bachtis, Michail, Cousins, Robert, Thomas-Wilsker, Joshuha, Datta, Abhisek, Hamilton, David, Hauser, Jay, Ignatenko, Mikhail, Iqbal, Muhammad Ansar, Lam, Tyler, Nash, William Arthur, Regnard, Simon, Saltzberg, David, Stone, Brent, Wang, Jin, Valuev, Vyacheslav, Burt, Kira, Chen, Yuan, Clare, Robert, Gary, J William, Gordon, Michael, Hanson, Gail, Karapostoli, Georgia, Long, Owen Rosser, Manganelli, Nicholas, Zhang, Huaqiao, Olmedo Negrete, Manuel, Si, Weinan, Wimpenny, Stephen, Zhang, Yi, Branson, James G, Chang, Philip, Cittolin, Sergio, Cooperstein, Stephane, Deelen, Nikkie, Diaz, Daniel, Zhang, 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Bryant, Patrick, Ferguson, Thomas, Harilal, Abhirami, Liu, Chuyuan, Mudholkar, Tanmay, Paulini, Manfred, Levin, Andrew, Sanchez, Alejandro, Cumalat, John Perry, Ford, William T, Hassani, Abbas, MacDonald, Emily, Patel, Rishi, Perloff, Alexx, Savard, Claire, Stenson, Kevin, Ulmer, Keith, Li, Qiang, Wagner, Stephen Robert, Alexander, James, Bright-Thonney, Samuel, Cheng, Yangyang, Cranshaw, Derek James, Hogan, Shaun, Monroy, Jose, Patterson, Juliet Ritchie, Quach, Dan, Reichert, Joseph, Lyu, Xudong, Reid, Michael, Ryd, Anders, Sun, Werner, Thom, Julia, Wittich, Peter, Zou, Rui, Albrow, Michael, Alyari, Maral, Apollinari, Giorgio, Apresyan, Artur, Mao, Yajun, Apyan, Aram, Banerjee, Sunanda, Bauerdick, Lothar AT, Berry, Douglas, Berryhill, Jeffrey, Bhat, Pushpalatha C, Burkett, Kevin, Butler, Joel Nathan, Canepa, Anadi, Cerati, Giuseppe Benedetto, Qian, Si-Jin, Cheung, H. 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K., Chlebana, Frank, Cremonesi, Matteo, Di Petrillo, Karri Folan, Elvira, Victor Daniel, Feng, Yongbin, Freeman, Jim, Gecse, Zoltan, Gray, Lindsey, Green, Dan, Wang, Dayong, Grünendahl, Stefan, Gutsche, Oliver, Harris, Robert M, Heller, Ryan, Herwig, Theodor Christian, Hirschauer, James, Jayatilaka, Bodhitha, Jindariani, Sergo, Johnson, Marvin, Joshi, Umesh, Wang, Qun, Klijnsma, Thomas, Klima, Boaz, Kwok, Ka Hei Martin, Lammel, Stephan, Lincoln, Don, Lipton, Ron, Liu, Tiehui, Madrid, Christopher, Maeshima, Kaori, Mantilla, Cristina, Xiao, Jie, Mason, David, McBride, Patricia, Merkel, Petra, Mrenna, Stephen, Nahn, Steve, O'Dell, Vivian, Papadimitriou, Vaia, Pedro, Kevin, Pena, Cristian, Prokofyev, Oleg, Waltenberger, Wolfgang, Lu, Meng, Ravera, Fabio, Reinsvold Hall, Allison, Ristori, Luciano, Schneider, Basil, Sexton-Kennedy, Elizabeth, Smith, Nicholas, Soha, Aron, Spalding, William J, Spiegel, Leonard, Stoynev, Stoyan, You, Zhengyun, Strait, James, Taylor, Lucas, Tkaczyk, Slawek, Tran, Nhan Viet, Uplegger, Lorenzo, Vaandering, Eric Wayne, Weber, Hannsjoerg Artur, Acosta, Darin, Avery, Paul, Bourilkov, Dimitri, Gao, Xuyang, Cadamuro, Luca, Cherepanov, Vladimir, Errico, Filippo, Field, Richard D, Guerrero, Daniel, Joshi, Bhargav Madhusudan, Kim, Mugeon, Koenig, Evan, Konigsberg, Jacobo, Korytov, Andrey, Okawa, Hideki, Lo, Kin Ho, Matchev, Konstantin, Menendez, Nicholas, Mitselmakher, Guenakh, Muthirakalayil Madhu, Arun, Rawal, Neha, Rosenzweig, Daniel, Rosenzweig, Suzanne, Shi, Kun, Sturdy, Jared, Lin, Zhen, Wang, Jian, Yigitbasi, Efe, Zuo, Xunwu, Adams, Todd, Askew, Andrew, Habibullah, Redwan, Hagopian, Vasken, Johnson, Kurtis F, Khurana, Raman, Kolberg, Ted, Xiao, Meng, Martinez, German, Prosper, Harrison, Schiber, Catherine, Viazlo, Oleksandr, Yohay, Rachel, Zhang, Jingyu, Baarmand, Marc M, Butalla, Stephen, Elkafrawy, Tamer, Hohlmann, Marcus, Avila, Carlos, Kumar Verma, Ravindra, Noonan, Daniel, Rahmani, Mehdi, Yumiceva, Francisco, Adams, Mark Raymond, Becerril Gonzalez, Hugo, Cavanaugh, Richard, Chen, Xuan, Dittmer, Susan, Evdokimov, Olga, Cabrera, Andrés, Gerber, Cecilia Elena, Hangal, Dhanush Anil, Hofman, David Jonathan, Merritt, Anna Henckel, Mills, Corrinne, Oh, Geonhee, Roy, Titas, Rudrabhatla, Sahithi, Tonjes, Marguerite, Varelas, Nikos, Florez, Carlos, Viinikainen, Jussi, Wang, Xiao, Wu, Zhenbin, Ye, Zhenyu, Alhusseini, Mohammad, Dilsiz, Kamuran, Gandrajula, Reddy Pratap, Köseyan, Ohannes Kamer, Merlo, Jean-Pierre, Mestvirishvili, Alexi, Fraga, Jorge, Nachtman, Jane, Ogul, Hasan, Onel, Yasar, Penzo, Aldo, Snyder, Christina, Tiras, Emrah, Amram, Oz, Blumenfeld, Barry, Corcodilos, Lucas, Davis, Jeffrey, Andrejkovic, Janik Walter, Wulz, Claudia-Elisabeth, Sarkar, Amal, Eminizer, Margaret, Gritsan, Andrei, Kyriacou, Savvas, Maksimovic, Petar, Roskes, Jeffrey, Swartz, Morris, Vámi, Tamás Álmos, Abreu, Andrés, Anguiano, Justin, Baldenegro Barrera, Cristian, Segura Delgado, Manuel Alejandro, Baringer, Philip, Bean, Alice, Bylinkin, Alexander, Flowers, Zachary, Isidori, Tommaso, Khalil, Sadia, King, Jack, Krintiras, Georgios, Kropivnitskaya, Anna, Lazarovits, Margaret, Mejia Guisao, Jhovanny, Lindsey, Cole, Marquez, Juan, Minafra, Nicola, Murray, Michael, Nickel, Matthew, Rogan, Christopher, Royon, Christophe, Salvatico, Riccardo, Sanders, Stephen, Schmitz, Erich, Ramirez, Felipe, Smith, Caleb, Tapia Takaki, Daniel, Wang, Quan, Warner, Zachary, Williams, Justin, Wilson, Graham, Duric, Senka, Ivanov, Andrew, Kaadze, Ketino, Kim, Doyeong, Ruiz Alvarez, José David, Maravin, Yurii, Mitchell, Tyler, Modak, Atanu, Nam, Kyungwook, Rebassoo, Finn, Wright, Douglas, Adams, Eric, Baden, Drew, Baden, A., Baron, Owen, Salazar González, Camilo Andrés, Belloni, Alberto, Eno, Sarah Catherine, Hadley, Nicholas John, Jabeen, Shabnam, Kellogg, Richard G, Koeth, Timothy, Mignerey, Alice, Nabili, Sara, Seidel, Markus, Skuja, Andris, Giljanovic, Duje, Wang, Long, Wong, Kak, Abercrombie, Daniel, Andreassi, Guido, Bi, Ran, Brandt, Stephanie, Busza, Wit, Cali, Ivan Amos, Chen, Yi, D'Alfonso, Mariarosaria, Godinovic, Nikola, Eysermans, Jan, Freer, Chad, Gomez Ceballos, Guillelmo, Goncharov, Maxim, Harris, Philip, Hu, Miao, Klute, Markus, Kovalskyi, Dmytro, Krupa, Jeffrey, Le, Y. J., Lelas, Damir, Lee, Yen-Jie, Maier, Benedikt, Mironov, Camelia, Paus, Christoph, Rankin, Dylan, Roland, Christof, Roland, Gunther, Shi, Zhaozhong, Stephans, George, Tatar, Kaya, Puljak, Ivica, Wang, Jing, Wang, Zhangqier, Wyslouch, Bolek, Chatterjee, Rajdeep Mohan, Evans, Andrew, Jain, Shilpi, Evan, A., Hansen, Peter, Hiltbrand, Joshua, Jain, Sh., Chekhovsky, Vladimir, Antunovic, Zeljko, Krohn, Michael, Kubota, Yuichi, Mans, Jeremy, Revering, Michael, Rusack, Roger, Saradhy, Rohith, Schroeder, Neil, Strobbe, Nadja, Wadud, Mohammad Abrar, Bloom, Kenneth, Kovac, Marko, Bryson, Miranda, Chauhan, Shubhanshu, Claes, Daniel R, Fangmeier, Caleb, Finco, Linda, Golf, Frank, Joo, Changwoo, Kravchenko, Ilya, Musich, Marco, Reed, Ian, Sculac, Toni, Siado, Joaquin Emilo, Snow, Gregory R, Tabb, William, Yan, Furong, Agarwal, Garvita, Bandyopadhyay, Hirak, Hay, Lauren, Ha, L., Iashvili, Ia, Kharchilava, Avto, Brigljevic, Vuko, McLean, Christine, Nguyen, Duong, Pekkanen, Juska, Rappoccio, 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Zarucki, Mateusz, Zygala, Lara, Bylsma, Ben, Cardwell, Bryan, Attikis, Alexandros, Durkin, Lloyd Stanley, Francis, Brian, Hill, Christopher, Nunez Ornelas, Martha, Wei, Kai, Winer, Brian L, Yates, Brent, Addesa, Francesca Maria, Bonham, Brandon, Das, Pallabi, Litomin, Aliaksandr, Christoforou, Konstantinos, Dezoort, Gage, Elmer, Peter, Frankenthal, Andre, Greenberg, Bennett, Haubrich, Nicholas, Higginbotham, Samuel, Kalogeropoulos, Alexis, Kopp, Gillian, Kwan, Stephanie, Lange, David, Erodotou, Eleni, Lucchini, Marco Toliman, Marlow, Daniel, Mei, Kelvin, Ojalvo, Isabel, Olsen, James, Palmer, Christopher, Stickland, David, Tully, Christopher, Malik, Sudhir, Norberg, Scarlet, Ioannou, Aimilios, Bakshi, Amandeep Singh, Barnes, Virgil E, Chawla, Ridhi, Das, Souvik, Gutay, Laszlo, Jones, Matthew, Jung, Andreas Werner, Karmarkar, Sushrut, Liu, Miaoyuan, Negro, Giulia, Kole, Gouranga, Neumeister, Norbert, Paspalaki, Garyfallia, Peng, Cheng-Chieh, Piperov, Stefan, Purohit, Arnab, Schulte, 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Atakisi, IO, Yetkin, EA, Cerci, DS, Brooke, JJ, Heath, GP, Heath, HF, Holmberg, ML, El Nasr-Storey, SS, Smith, VJ, Pass, KW, Bell, KW, Brown, RM, Cockerill, DJA, Ellis, KV, Newbold, DM, Shepherd-Themistocleous, CH, Tomalin, IR, Chahal, GS, Hassanshahi, MH, Magnan, AM, Monk, DG, Raymond, DM, Webb, SN, Zecchinelli, AG, Cole, JE, Reid, ID, Kanuganti, AR, McMaster, B, Hernandez, AMV, Cooper, SI, Gleyzer, SV, Perez, CU, Hogan, JM, Lau, KT, Wong, WY, Sanchez, MCD, Cox, PT, Iqbal, MA, Nash, WA, Gary, JW, Long, OR, Negrete, MO, Branson, JG, Narayanan, BVS, Lawhorn, JM, Newman, HB, Nguyen, TQ, Vlimant, JR, Zhu, RY, Andrews, MB, Cumalat, JP, Ford, WT, MacDonald, E, Ulmer, KA, Wagner, SR, Cranshaw, DJ, Patterson, JR, Bauerdick, LAT, Bhat, PC, Butler, JN, Cerati, GB, Cheung, HWK, Di Petrillo, KF, Elvira, VD, Harris, RM, Herwig, TC, Kwok, KHM, McBride, P, Hall, AR, Spalding, WJ, Tran, NV, Vaandering, EW, Weber, HA, Field, RD, Joshi, BM, Lo, KH, Madhu, AM, Johnson, KF, Baarmand, MM, Verma, RK, Adams, MR, Gonzalez, HB, Gerber, CE, Hangal, DA, Hofman, DJ, Merrit, AH, Tonjes, MB, Gandrajula, RP, Koseyan, OK, Merlo, JP, Gritsan, AV, Vami, TA, Barrera, CB, Takaki, JDT, Eno, SC, Hadley, NJ, Kellogg, RG, Mignerey, AC, Cali, IA, Ceballos, GG, Le, YJ, Stephan, GSF, Chatterjee, RM, Wadud, MA, Claes, DR, Siado, JE, Snowt, GR, McLean, C, Morse, DM, Hahn, KA, Schmitt, MH, Anampa, KH, McCauley, T, Durkin, LS, Ornelas, MN, Winer, BL, Yates, BR, Addesa, FM, Lucchini, MT, Bakshi, AS, Barnes, VE, Jung, AW, Peng, CC, Schulte, JF, Ecklund, KM, Geurts, FJM, Padley, BP, Leiton, AGS, Dulemba, JL, Chou, JP, Thayil, SA, Delannoy, AG, Arenton, MW, Sreekala, JM, Smith, WH, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), CMS, Universidad de Cantabria, SCOAP, Ministerio de Economía y Competitividad (España), Principado de Asturias, European Commission, and European Research Council

Subjects
lepton, FORTRAN CODE, squark, mass, squark, decay, hadron hadron, scattering, GeV, High Energy Physics - Experiment, decay, Physics, Particles & Fields, bino, лептоны, neutralino, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], PROGRAM, High energy physics, Experimental particle physics, LHC, CMS, p p: scattering, p p: colliding beams, B: decay, tau: hadronic decay, interaction: gauge, interaction: model, transverse momentum: missing-energy, new physics: search for, mass spectrum: transverse, black hole: quantum, vector boson: mass, W': leptonic decay, sensitivity, leptoquark: coupling, CERN LHC Coll, leptoquark: mass: lower limit, anomaly, channel cross section: upper limit, effective field theory, Higgs, Nuclear Experiment, протон-протонные столкновения, 0105 Mathematical Physics, cуперсимметрия, Physics, minimal supersymmetric standard model, Nuclear & Particles Physics, missing-energy, Hadron-Hadron Scattering, Supersymmetry, PARTICLES, DECAYS, MODELS, BREAKING, PHYSICS, p p, hadron hadron, bino, mass, squark, pair production, Physical Sciences, 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics, адрон-адронное рассеяние, PARTICLE PHYSICS, Particle Physics - Experiment, transverse momentum, missing-energy, Nuclear and High Energy Physics, p p, scattering, education, transverse momentum, 114 Physical sciences, up, mass, TeV, ddc:530, 0206 Quantum Physics, sparticle, up, Science & Technology, hep-ex, LARGE HADRON COLLIDER, scattering, High Energy Physics::Phenomenology, mass difference, squark, pair production, Physics and Astronomy, mass, High Energy Physics::Experiment
Abstract

CMS Collaboration: et al., A search for supersymmetry in events with two or three low-momentum leptons and missing transverse momentum is performed. The search uses proton-proton collisions at √s = 13 TeV collected in the three-year period 2016–2018 by the CMS experiment at the LHC and corresponding to an integrated luminosity of up to 137 fb−1. The data are found to be in agreement with expectations from standard model processes. The results are interpreted in terms of electroweakino and top squark pair production with a small mass difference between the produced supersymmetric particles and the lightest neutralino. For the electroweakino interpretation, two simplified models are used, a wino-bino model and a higgsino model. Exclusion limits at 95% confidence level are set on χ∼02/χ∼±1 masses up to 275 GeV for a mass difference of 10 GeV in the wino-bino case, and up to 205(150) GeV for a mass difference of 7.5 (3) GeV in the higgsino case. The results for the higgsino are further interpreted using a phenomenological minimal supersymmetric standard model, excluding the higgsino mass parameter μ up to 180 GeV with the bino mass parameter M1 at 800 GeV. In the top squark interpretation, exclusion limits are set at top squark masses up to 540 GeV for four-body top squark decays and up to 480 GeV for chargino-mediated decays with a mass difference of 30 GeV., Funded by SCOAP3, Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science — EOS” — be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG), under Germany’s Excellence Strategy — EXC 2121 “Quantum Universe” — 390833306, and under project number 400140256 — GRK2497; the Lendület (“Momentum”) Program and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Science and Higher Education and the National Science Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland); the Fundação para a Ciência e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Higher Education, projects no. 14.W03.31.0026 and no. FSWW-2020-0008, and the Russian Foundation for Basic Research, project No.19-42-703014 (Russia); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Hellenic Foundation for Research and Innovation (HFRI) (Project Number: 2288) and the Stavros Niarchos Foundation (Greece); the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.).

Published
2022

39. Failed single-leg assessment of postural stability after anterior cruciate ligament injuries and reconstruction: An updated systematic review and meta-analysis

Author

Le Yu, Xiao'ao Xue, Shanshan Zheng, Weichu Tao, Qianru Li, Yiran Wang, Xicheng Gu, Yang Sun, Ru Wang, and Yinghui Hua

Subjects
Anterior cruciate ligament, Postural stability, Systematic reviews, Meta-analyses, Medicine (General), R5-920
Abstract

Background: Postural control deficits and persistent joint stability issues are prevalent in population with anterior cruciate ligament (ACL) injuries or reconstructions. Postural control is typically assessed using the center of pressure (CoP) parameters during the static single-leg stance with a force plate. However, previous studies have reported unclear definitions and descriptions of the CoP parameters, causing inconsistent results of postural control deficits in a specific population. Objective: To 1) summarize CoP parameters commonly used to evaluate postural control deficits in ACL injured or reconstructed population, and 2) identify the differences in CoP parameters with opened and closed eyes during the single-leg stance between ACL injured or reconstructed and control groups. Methods: PubMed, Embase, Cochrane Library, CINAHL, Scopus, Web of Science, and SPORTDiscus databases were searched up to July 2023. Data were obtained from the selected articles and underwent quality and risk of bias assessment and meta-analysis using random-effect models. Subgroup analysis within ACL injured or reconstructed group were also performed. Results: A total of 14 articles were included in the analysis after screening. The injured knee of the ACL injured or reconstructed group differed insignificantly in sway amplitude, sway area, and sway velocity during static single-leg stance under opened and closed eyes when compared with the control group. In the subgroup analysis, we found that there was only significant difference in sway velocity with open eyes (SMD ​= ​0.47, p ​= ​0.001) between ACL reconstructed group and control group. Conclusion: This study summarized the common CoP parameters used to evaluate postural control in ACL injured or reconstructed population. The results only showed weak difference in sway velocity between ACL reconstructed population and healthy individuals with opened eyes during the static single-leg stance.

Published
2025
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40. Aluminum chloride and D-galactose induced a zebrafish model of Alzheimer's disease with cognitive deficits and aging

Author

Li Luo, Tao Yan, Le Yang, and Minggao Zhao

Subjects
Alzheimer's disease, Zebrafish, Aluminum chloride, D-galactose, High-throughput screening, Biotechnology, TP248.13-248.65
Abstract

Alzheimer’s disease (AD) is an age-related neurodegenerative disorder. Transgenic and pharmacological AD models are extensively studied to understand AD mechanisms and drug discovery. However, they are time-consuming and relatively costly, which hinders the discovery of potential anti-AD therapeutics. Here, we established a new model of AD in larval zebrafish by co-treatment with aluminum chloride (AlCl3) and D-galactose (D-gal) for 72 h. In particular, exposure to 150 μM AlCl3 + 40 mg/mL D-gal, 200 μM AlCl3 + 30 mg/mL D-gal, or 200 μM AlCl3 + 40 mg/mL D-gal successfully induced AD-like symptoms and aging features. Co-treatment with AlCl3 and D-gal caused significant learning and memory deficits, as well as impaired response ability and locomotor capacity in the plus-maze and light/dark test. Moreover, increased acetylcholinesterase and β-galactosidase activities, β-amyloid 1–42 deposition, reduced telomerase activity, elevated interleukin 1 beta mRNA expression, and enhanced reactive oxygen species production were also observed. In conclusion, our zebrafish model is simple, rapid, effective and affordable, incorporating key features of AD and aging, thus may become a unique and powerful tool for high-throughput screening of anti-AD compounds in vivo.

Published
2024
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41. Intra-operative 3D Guidance in Prostate Brachytherapy Using a Non-isocentric C-arm

Author

Jain, A., Deguet, A., Iordachita, I., Chintalapani, G., Blevins, J., Le, Y., Armour, E., Burdette, C., Song, D., Fichtinger, G., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ayache, Nicholas, editor, Ourselin, Sébastien, editor, and Maeder, Anthony, editor

Published
2007
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42. Genome-wide identification of Gα family in grass carp (Ctenopharyngodon idella) and reproductive regulation functional characteristics of Cignaq

Author

Chong Wang, Shuting Xiong, Shitao Hu, Le Yang, Yuhong Huang, Haitai Chen, Baohong Xu, Tiaoyi Xiao, and Qiaolin Liu

Subjects
Grass carp, Gα family, Reproduction, Gonadotropin-releasing hormone, G protein-coupled receptor, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background The Gα family plays a crucial role in the complex reproductive regulatory network of teleosts. However, the characterization and function of Gα family members, especially Gαq, remain poorly understood in teleosts. To analyze the characterization, expression, and function of grass carp (Ctenopharyngodon idella) Gαq, we identified the Gα family members in grass carp genome, and analyzed the expression, distribution, and signal transduction of Gαq/gnaq. We also explored the role of Gαq in the reproductive regulation of grass carp. Results Our results showed that the grass carp genome contains 27 Gα genes with 46 isoforms, which are divided into four subfamilies: Gαs, Gαi/o, Gαq/11, and Gα12/13. The expression level of Cignaq in the testis was the highest and significantly higher than in other tissues, followed by the hypothalamus and brain. The luteinizing hormone receptor (LHR) was mainly localized to the nucleus in grass carp oocytes, with signals also present in follicular cells. In contrast, Gαq signal was mainly found in the cytoplasm of oocytes, with no signal in follicular cells. In the testis, Gαq and LHR were co-localized in the cytoplasm. Furthermore, the grass carp Gαq recombinant protein significantly promoted Cipgr expression. Conclusions These results provided preliminary evidence for understanding the role of Gαq in the reproductive regulation of teleosts.

Published
2024
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43. Choroidal vascular changes in early-stage myopic maculopathy from deep learning choroidal analysis: a hospital-based SS-OCT study

Author

Yan Li, Haoer Li, Xue Rui, Yuan Wang, Shenju Zhu, Mengge Huang, Jianqiang Liang, Yangfeifei Zhu, Jiajia Shi, Le Yu, Shenghai Huang, Chun Yang, Mengmeng Dong, Hebei Gao, Meixiao Shen, Hao Wu, and Xiangtian Zhou

Subjects
High myopia, Myopic maculopathy, Diffuse chorioretinal atrophy, Choroidal vasculature, Deep learning, Ophthalmology, RE1-994
Abstract

Abstract Background The objective of this study is to illustrate the changes in the choroidal vasculature in individuals with diffuse chorioretinal atrophy (DCA, early-stage myopic maculopathy) and investigate the association between them. Methods This study included 1418 highly myopic eyes from 720 participants aged 18 − 60 years from the Wenzhou High Myopia Cohort Study. These participants underwent comprehensive ophthalmic assessments. Myopic maculopathy classification followed the Meta-PM system, with pathological myopia defined as myopic maculopathy of DCA or severer. Eyes with myopic maculopathy categorized as no macular lesions (C0), tessellated fundus (C1), and DCA (C2) were enrolled in the analysis. Choroidal images were obtained from swept-source optical coherence tomography (SS-OCT), and the images were processed with a deep learning-based automatic segmentation algorithm and the Niblack auto-local threshold algorithm. Results DCA was detected in 247 eyes (17.4%). In comparison to eyes with C0, those with C2 exhibited significant reductions in choroidal thickness (ChT), luminal area (LA), and stromal area (SA) across all evaluated regions (all P

Published
2024
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44. Temporal variation characteristics in the association between climate and vegetation in Northwest China

Author

Shijun Zheng, Dailiang Peng, Bing Zhang, Le Yu, Yuhao Pan, Yan Wang, Xuxiang Feng, and Changyong Dou

Subjects
Vegetation, Climate, NDVI, Relationship, Northwest China, Medicine, Science
Abstract

Abstract Northwest China has undergone notable alterations in climate and vegetation growth in recent decades. Nevertheless, uncertainties persist concerning the response of different vegetation types to climate change and the underlying mechanisms. This study utilized the Normalized Difference Vegetation Index (NDVI) and three sets of meteorological data to investigate the interannual variations in the association between vegetation and climate (specifically precipitation and temperature) from 1982 to 2015. Several conclusions were drawn. (1) RNDVI-GP (relationship between Growing Season NDVI and precipitation) decreased significantly across all vegetation, while RNDVI-GT (relationship between Growing Season NDVI and temperature) showed an insignificant increase. (2) Trends of RNDVI-GP and RNDVI-GT exhibited great variations across various types of vegetation, with forests displaying notable downward trends in both indices. The grassland exhibited a declining trend in RNDVI-GP but an insignificant increase in RNDVI-GT, while no significant temporal changes in RNDVI-GP or RNDVI-GT were observed in the barren land. (3) The fluctuations in RNDVI-GP and RNDVI-GT closely aligned with variations in drought conditions. Specifically, in regions characterized by VPD (vapor pressure deficit) trends less than 0.02 hpa/yr, which are predominantly grasslands, a rise in SWV (soil water volume) tended to cause a reduction in RNDVI-GP but an increase in RNDVI-GT. However, a more negative trend in SWV was associated with a more negative trend in both RNDVI-GP and RNDVI-GT when the VPD trend exceeded 0.02 hPa/yr, primarily in forests. Our results underscore the variability in the relationship between climate change and vegetation across different vegetation types, as well as the role of drought in modulating these associations.

Published
2024
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45. China’s ongoing rural to urban transformation benefits the population but is not evenly spread

Author

Xin Chen, Le Yu, Yaoyao Li, Tao Liu, Jingming Liu, Dailiang Peng, Xiaoling Zhang, Chuanglin Fang, and Peng Gong

Subjects
Geology, QE1-996.5, Environmental sciences, GE1-350
Abstract

Abstract China prioritizes a coordinated and sustainable shift from rural to urban areas, termed rural-urban transformation. This involves land, population, and industry urbanization. Here we explore the spatiotemporal dynamics of rural-urban transformation patterns in China, focusing on the degree of integrated transformation and the coupling between the three tracks. To conduct our investigation, we utilized the urbanization cube theory, satellite-derived gridded datasets, and the self-organizing map. Our findings show that eastern China has higher levels of integrated transformation and coupling compared to western China. There has been an overall increase in the coupling of China’s three rural-urban transformation tracks. We identified six typical rural-urban transformation patterns across China. Over time, 53.58% of prefectures improved in rural-urban transformation patterns, 3.44% degraded, and 42.98% (mainly in western China) remained unchanged. More importantly, we highlight that the increasing and coupling rural-urban transformation in China has reduced inequities in urban and rural well-being.

Published
2024
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46. Association between maternal lipid profiles and lipid ratios in early to middle pregnancy as well as their dynamic changes and gestational diabetes mellitus

Author

Xingyan Xu, Suping Luo, Jie Lin, Jungu Zhou, Liuyan Zheng, Le Yang, Zhiyu Zhang, Yuting Dong, Mei Ma, Huangyuan Li, Shaowei Lin, Xiaoxu Xie, Jinying Luo, and Siying Wu

Subjects
Gestational diabetes mellitus, Lipid profiles, Lipid ratios, Pregnancy, Longitudinal association, Gynecology and obstetrics, RG1-991
Abstract

Abstract Background Unfavourable lipid and glucose levels may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, there is a lack of prospective studies on the relationship between lipid profiles, lipid ratios and GDM during pregnancy. Aims To prospectively investigate the relationship between lipid profile and lipid ratios in early and mid-pregnancy and their pattern of change from early to mid-pregnancy and the risk of GDM. Methods This nested case-control study was based on maternal and child healthcare hospitals from Fujian Province, China. We included pregnant women who delivered in the hospital from January 2021 to June 2023. Lipid profiles (TC, TG, ApoA1, ApoB, HDL-c, LDL-c) and fasting glucose were measured before 14 weeks of gestation and between 20 and 28 weeks of gestation, and lipid ratios (triglyceride glucose index, TG/HDL-c and TC/HDL-c) was constructed. Logistic regression was used to assess the relationship between lipid profile, lipid ratios and GDM. Results Of 1586 pregnant women, 741 were diagnosed with GDM. After adjusting for potential confounders, TG, ApoA1, ApoB, LDL-c, triglyceride glucose index, TG/HDL-c, and TC/HDL-c in early pregnancy were positively associated with the risk of GDM (odds ratios [95% CI] for extreme interquartile comparisons were 2.040 (1.468–2.843), 1.506 (1.091–2.082), 1.529 (1.110–2.107), 1.504 (1.086–2.086), 1.952 (1.398–2.731), 2.127 (1.526–2.971), and 2.370 (1.700-3.312), all trend P

Published
2024
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47. Coordination analysis and evaluation of population, water resources, economy, and ecosystem coupling in the Tuha region of China

Author

Shaojie Bai, Abudukeyimu Abulizi, Yusuyunjiang Mamitimin, Junxia Wang, Le Yuan, Xiaofen Zhang, Tingting Yu, Adila Akbar, and Fang Shen

Subjects
Coupling coordination degree model (CCDM), Population-water resources-economy-and ecosystem (PWEE systems), Remote sensing ecological index (RSEI), Google earth engine (GEE), Sustainable management, Medicine, Science
Abstract

Abstract The non-coordination between the socio-economic systems and ecosystems of a region is a crucial obstacle to sustainable development. To reveal the relationships between complex urban systems and achieve the goal of sustainable and coordinated urban development, we constructed a coupling coordination degree model (CCDM) and coupling angle model (CAM) and analyzed the degree of coupling coordination and evolution process among the population, water resources, economy, and ecology (PWEE) system of the Tuha region for 2005–2020. The results indicated that: (1) During 2005–2020, the comprehensive development index (CDI) of the population, water resources and economy subsystems was 0.21–0.65, with the three subsystems portraying an overall increase; the average values of the RSEI at five-year intervals were 0.29, 0.28, 0.28, and 0.26, indicating a downward trend in the environmental quality. (2) The coupling coordination effect of the PWEE system portrayed a low level; the coupling coordination degree (CCD) values were 0.28–0.58, portraying a fluctuating upward trend. The level of CCD increased from low disorder to marginal coordination. (3) The PWEE system’s scissor difference reflects large evolutionary characteristics. The ecological support capacity was not observed until the late stage. We conclude that the PWEE composite system of the region is in a stage of disordered development. These findings significantly bolster the theoretical underpinnings of sustainable development studies, offering essential scientific theories and methodological frameworks for crafting sustainable development policies tailored to urban systems in the Tuha region.

Published
2024
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48. Energy efficient cluster-based routing protocol for WSN using multi-strategy fusion snake optimizer and minimum spanning tree

Author

Le Yang, Damin Zhang, Lun Li, and Qing He

Subjects
Medicine, Science
Abstract

Abstract In recent years, the widespread adoption of wireless sensor networks (WSN) has resulted in the growing integration of the internet of things (IoT). However, WSN encounters limitations related to energy and sensor node lifespan, making the development of an efficient routing protocol a critical concern. Cluster technology offers a promising solution to this challenge. This study introduces a novel cluster routing protocol for WSN. The system selects cluster heads and relay nodes utilizing the multi-strategy fusion snake optimizer (MSSO) and employs the minimum spanning tree algorithm for inter-cluster routing planning, thereby extending the system’s lifecycle and conserving network energy. In pursuit of an optimal clustering scheme, the paper also introduces tactics involving dynamic parameter updating, adaptive alpha mutation, and bi-directional search optimization within MSSO. These techniques significantly increase the algorithm convergence speed and expand the available search space. Furthermore, a novel efficient clustering routing model for WSN is presented. The model generates different objective functions for selecting cluster heads and relay nodes, considering factors such as location, energy, base station distance, intra-cluster compactness, inter-cluster separation, and other relevant criteria. When selecting cluster heads, the fuzzy c-means (FCM) algorithm is integrated into MSSO to improve the optimization performance of the algorithm. When planning inter-cluster routing, the next hop node is selected for the relay node based on distance, residual energy, and direction.The experimental results demonstrate that the proposed protocol reduces energy consumption by at least 26.64% compared to other cluster routing protocols including LEACH, ESO, EEWC, GWO, and EECHS-ISSADE. Additionally, it increases the network lifetime of WSN by at least 25.84%, extends the stable period by at least 52.43%, and boosts the network throughput by at least 40.99%.

Published
2024
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49. Impact of seasonal changes in urban green spaces with diverse vegetation structures on college students' physical and mental health

Author

Yifan Duan, Hua Bai, Le yang, Shuhua Li, and Qiuchen Zhu

Subjects
Healthy landscape, Vegetation types, Season, Perception and experience, Environmental perception, Medicine, Science
Abstract

Abstract Based on the perceptions of college student participants in winter and summer, the effects of different vegetation structures within landscapes (single-layer woodland, tree-shrub-grass composite woodlands, tree-grass composite woodland, and single-layer grassland) and concrete squares without plants were investigated, and the skin conductivity level (SCL) and environmental perception recovery score (PRS) associated with landscape types were calculated. The results indicated that seasonal differences in landscape perception significantly affected college student participants' PRS but not their SCL scores, both in winter and summer. Viewing single-layer and tree-shrub-grass composite woodlands in summer, as well as single-layer woodland in winter, enhanced the environmental perception of the college student participants. The restorative effects of the four vegetation types in green spaces were ranked as follows: single-layer woodland, tree-shrub-grass composite woodlands, single-layer grassland, and tree-grass composite woodlands and concrete squares without plants. These findings underscore the importance of considering seasonal variations when choosing plant species for landscaping purposes, with evergreen single-layer woodland being a suitable choice for winter urban landscapes. This provides a scientific basis for assessing landscape perception and preferences in the future.

Published
2024
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50. Hygroscopic Mg–Al LDHs composite microspheres for highly efficient hyperspectral camouflage in the VIS and NIR wavebands

Author

Zixun Xie, Le Yuan, Xiaolong Qing, Yaqing Wang, Xiaoyan Wu, and Xiaolong Weng

Subjects
Hyperspectral camouflage, Layered double hydroxide, Composite microspheres, Visible and near-infrared spectrum, Moisture absorption, Medicine, Science
Abstract

Abstract In order to enhance the hyperspectral camouflage efficacy of stealth coatings against a natural vegetative backdrop, LiCl, known for its significant hygroscopic properties, was incorporated into green Mg–Al layered double hydroxide (Mg–Al LDHs) material. Micron-sized composite microspheres were subsequently synthesized via the spray-drying granulation technique. The structure, morphology, and chemical composition of these microspheres were thoroughly characterized by X-ray diffraction, scanning electron microscopy, laser particle size analysis, nitrogen adsorption–desorption isotherms, and Fourier-transform infrared spectroscopy. The effect of LiCl content on the moisture absorption capacity and near-infrared reflectance spectra of the microspheres was systematically evaluated. We found that incorporating an optimal amount of LiCl into the internal pores of the Mg–Al LDHs microspheres did not compromise their smooth surface morphology and uniform particulate distribution. Notably, when the LiCl content was 10%, the maximum saturation moisture uptake ratio of the coating increased to 0.75 g/g. This hygroscopicity significantly enhanced the absorption and scattering of near-infrared radiation by the coating while concurrently improving its ability to modulate the shape and reflectance of both the visible and near-infrared spectral curves. Spectral congruence between the synthetic coating and natural green foliage was quantified at 97.41%. Moreover, this performance was maintained over 10 cycles of programmed drying and re-humidification, and the coating consistently demonstrated stable hygroscopic properties and sustained over 95% spectral congruence. These optimized artificial coatings were found to effectively confuse hyperspectral classification algorithms, thus blending seamlessly into a natural foliage backdrop. This study provides a new method for regulating VIS and NIR spectral (visible–near infrared spectrum) features, which will be critical for applications in advanced hyperspectral camouflage materials.

Published
2024
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