75,873 results on '"Lv P"'
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2. DA TROMBOSE À MIELOFIBROSE: UM RELATO DE CASO
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OS Zanetti, FAS Nunes, ALR Maretto, RA Hoffmann, LP Garcia, LP Ferreira, VBS Cury, LV Passos, JF Rocha, and PR Francelin
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Diseases of the blood and blood-forming organs ,RC633-647.5 - Abstract
Objetivo: Relatar um caso de mielofibrose primária com apresentação clínica de tromboses em sítios diferentes. Métodos: Coleta de dados através de entrevista, registro fotográficoe revisão do prontuário. Relato de caso: Paciente masculino, 61 anos, em investigação de anemia normo-normocom eritroblastose. História de perda ponderal de 8 kg em 30 dias, astenia, dispneia e dor abdominal. Negava sangramentos, equimoses, alterações de hábitos intestinais, cirurgias, história familiar de trombofilias ou neoplasias. Possuía antecedente recente de múltiplas tromboses. Há 3 meses quadro deTEP bilateraleTVP extensa de membro inferior esquerdo. Angio-TCtórax comembolia pulmonar de artérias segmentares de lobos inferiores mais extensa à direita; Doppler venoso de membro inferior esquerdocom trombose de veiaspoplítea, femoral comum, superficial e profunda. Em investigação complementar com TC de abdome apresentou sinais de trombose de veia porta com transformação cavernomatosa extensa e esplenomegalia 18,4 cm. Laboratório inicial: Hemoglobina 8.9 g/dL, Hematócrito de 28%, normocrômica e normocítica, com presença de anisocitose +/4+, poiquilocitose +/4+, dacriócitos ++/4+, policromasia +/4+ e eritroblastos 2%, leucócitos totais 11.590/mm3 e plaquetas em 421.000/mm3, índice de saturação de transferrina30%, ferro sérico 86 μg/dL e ácido fólico 13,9 ng/mL, sorologias para hepatite B, Hepatite C, Sífilis e HIV negativas. Demais investigação: provas de hemólise imune negativas, porém com DHL 1523U/L, fator reumatoide e fator antinuclear negativos, e trombofilias não identificadas. Prosseguiu-se com coleta de mielograma e biópsia de medula óssea em crista ilíaca póstero superior direita, além de avaliação genética das mutações JAK2, CALR e MPL. Resultado de AP compatível com neoplasia mieloproliferativa crônica (mielofibrose primária): celularidade de 60%, aumento da megacariopoiese com atipias e alto pleomorfismo, “clusters”, diminuição da hematopoiese com hemossiderose moderada e fibrose medular grau III. As três mutações foram negativas. O paciente foi encaminhado à onco-hemalogia para tratamento seguimento. Discussão: A mielofibrose primária é rara e resulta de transformação neoplásica de células hematopoiéticas, com mutação (JAK-2, CALR, MPL); que causam alterações intensas do estroma medular gerando fibrose, osteosclerose e angiogênese. Até 25% são assintomáticos, o restante pode apresentar sintomas de anemia, dor abdominal crônica, perda de peso, alterações ósseas, eritropoiese extramedular, sangramentos, anormalidades imunológicas, e muito raramente alterações trombóticas. O diagnostico depende de 3 critérios maiores (fibrose ou megacariocitoseem AP, ausência de outras síndromes mielodisplásicas, mutação JAK2 ou ausência de outra etiologia para fibrose) e ao menos 1 critério menor (leucoeritroblastoste, DHL sérico aumentado, anemia, esplenomegalia). Cerca de 5 a 10% dos pacientes são triplo negativos. O transplante de células tronco hematopoiético é a única opção curativa, há outras opções terapêuticas como hidroxiuréia, prednisona, talidomida e ruxolitinibe. Conclusão: Demonstra-se apresentação de quadro clínico trombótico exuberante associado à mielofibrose primária, etiologia rara, mas cujo diagnóstico deve ser lembrado perante quadros de trombose, principalmente de sítio abdominal.
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- 2024
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3. A newly designed anatomical plate for the therapy of posterolateral tibial plateau fracture via a supra-fibular-head approach: a retrospective study
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Xiaoji Zhou, Jiangshan Zhou, Huajun Qian, Deping Zhan, Chunxiao Qian, Lv Pan, and Xudong Chu
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Medicine ,Science - Abstract
Abstract The posterolateral tibial plateau fracture is a special type of intra-articular fracture, for which there is no simple, safe, and effective standardized procedure. In this paper, we evaluate the clinical efficacy and the advantages of the treatment of posterolateral tibial plateau fracture by using our designed proximal lateral tibial rim plate for the posterolateral condyle of the tibial plateau via the space above the fibula head. Thirty-eight patients with posterolateral tibial plateau fractures from June 2018 to June 2021 were retrospectively analyzed. CT scans were used to classify the degree of injury in the included patients. All of them were fixed with reduction using an approach above the fibula head combined with a homemade anatomical plate. The regular postoperative review was performed to instruct functional knee exercises. Postoperative complications were observed and follow-up visits were performed to assess the functional outcome. A total of 38 patients with posterolateral tibial plateau fractures, 13 males and 25 females were included in the study. All patients were followed up for 13–26 months, with a mean of 15.3 months. There were no postoperative complications such as numbness of the limb, knee joint instability, etc. X-ray review showed that the fractures were all healed, and the healing time was 10–16 weeks, with an average of 12.1 weeks; none of the internal fixation loosening and loss of articular surface occurred during the follow-up period. At the last follow-up, according to the HSS knee function score criteria, the scores were 79–98, with an average of 91.3. The HSS score presented excellent in 34 cases (89%) and good in 4 cases (11%). The Rasmussen score was graded as excellent in 29 cases (76%) and good in 9 cases (24%). In conclusion, The treatment of posterolateral tibial plateau fractures by an approach above the fibula head has the advantages of simplicity and safety, small trauma, and no risk of vascular and nerve injuries, and the anatomical proximal lateral tibial rim plate can play a direct and effective supporting role for the bone fragments of the posterolateral condyle, and the combination of both of them has obvious advantages in the treatment of posterolateral condylar fracture of the tibial plateau, and it is a method worth borrowing and popularizing.
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- 2024
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4. Cooperative Treatment and Resource Utilization of Municipal Solid Waste by Industrial Coke Ovens: Effects of Doping Ratio and Management
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Hongqing Ma, Jihua Zhao, Lv Pin, Hongzhi Ma, Jun Zhou, and Jianguo Liu
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municipal solid waste ,refuse-derived fuel ,mix ratio ,treatment condition ,resource utilization ,coking products ,Biotechnology ,TP248.13-248.65 - Abstract
For the collaborative treatment and resource utilization of an industrial coke oven on municipal solid waste (MSW), this study used MSW to prepare refuse-derived fuel (RDF). The influence of different mix ratio between RDF and coal on coking products was considered, and technical and economic analyses were conducted. The results showed that under the low mixture ratio (3%), the pyrolytic carbon obtained basically met the class III standard of metallurgical carbon. In the experiment of medium mixture ratio (25%, 30%, 35%), the product contained a certain amount of calorific value, lower than that of the metallurgical coke. It might be that the ash content increased, and such product can be used for civil coke or chemical coke. When the mixture ratio was 100%, the calorific value of pyrolysis carbon was 7.53 MJ/kg, representing 25.7% of the calorific value of ordinary coke. The gas production rate of the discharged gas was 0.35, and the calorific value is 14.0 MJ/kg, reaching 73.6% of the coke oven gas. Under the condition of no coal input, the MSW was converted into usable energy. The results demonstrated that coke oven pyrolysis with 100% RDF addition is the most feasible way to recycle resources and energy.
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- 2024
5. A Nomogram Including Total Cerebral Small Vessel Disease Burden Score for Predicting Mild Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus
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Teng Z, Feng J, Xie X, Xu J, Jiang X, and Lv P
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vascular cognitive impairment ,mild cognitive impairment ,cerebral small vessel disease ,type 2 diabetes mellitus ,nomogram ,Specialties of internal medicine ,RC581-951 - Abstract
Zhenjie Teng,1– 3 Jing Feng,4 Xiaohua Xie,2 Jing Xu,2 Xin Jiang,2 Peiyuan Lv1– 3 1Department of Neurology, Hebei Medical University, Shijiazhuang, People’s Republic of China; 2Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China; 3Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, People’s Republic of China; 4Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of ChinaCorrespondence: Peiyuan Lv, Department of Neurology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei Province, 050051, People’s Republic of China, Tel/Fax +86 31185988906, Email peiyuanlu2@163.comBackground: Total cerebral small vessel disease (CSVD) burden score is an important predictor of vascular cognitive impairment (VCI). However, few predictive models of VCI in type 2 diabetes mellitus (T2DM) patients have included the total CSVD burden score, especially in the early stage of VCI.Objective: To develop and validate a nomogram that includes the total CSVD burden score to predict mild VCI in patients with T2DM.Methods: A total of 322 eligible participants with T2DM who were divided into mild and normal cognitive groups were enrolled in this retrospective study. Demographic data, laboratory data and imaging markers of CSVD were collected. The total CSVD burden score was calculated by combining the different CSVD markers. Step-backward multivariable logistic regression analysis with the Akaike information criterion was applied to select significant predictors and develop a best-fit predictive nomogram. The performance of the nomogram was assessed in terms of discriminative ability, calibrated ability, and clinical usefulness.Results: The nomogram model consisted of five variables: age, education, hemoglobin A1c level, serum homocysteine level, and total CSVD burden score. A nomogram with these variables showed good discriminative ability (area under the receiver operating characteristic curve was 0.801 in internal verification). In addition, the Hosmer-Lemeshow test (χ2 =9.226, P=0.417) and bootstrap-corrected calibration plot indicated that the nomogram had good calibration. The Brier score of the predictive model was 0.178. Decision curve analysis demonstrated that when the threshold probability ranged between 16% and 98%, the use of the nomogram to predict mild VCI in patients with T2DM provide a greater net benefit.Conclusions: The nomogram, composed of age, education, stroke, HbA1c level, Hcy level, and total CSVD burden score, had good predictive accuracy and may provide clinicians with a practical tool for predicting the risk of mild VCI in T2DM patients.Keywords: vascular cognitive impairment, mild cognitive impairment, cerebral small vessel disease, type 2 diabetes mellitus, nomogram
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- 2024
6. Cogan’s Syndrome Combined with Hypertrophic Pachymeningitis: A Case Report
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Lu C, Lv P, Zhu X, and Han Y
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cogan’s syndrome ,hypertrophic pachymeningitis ,vasculitis ,Pathology ,RB1-214 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Ci Lu,1,* Panpan Lv,2,* Xiaoying Zhu,1 Yongmei Han1 1Department of Rheumatology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 2Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaoying Zhu; Yongmei Han, Department of Rheumatology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3# Qingchun East Road, Hangzhou, 310016, People’s Republic of China, Email 3202091@zju.edu.cn; 3408235@zju.edu.cnAbstract: Cogan’s syndrome (CS) is a rare chronic inflammatory disease, characterized by interstitial keratitis and vestibular auditory dysfunction. Hypertrophic pachymeningitis (HP) is a rare chronic aseptic inflammatory disease of the central nervous system. This article reports a patient with CS coexisting with HP. The patient was a 66-year-old male with fever, headache, red eyes, hearing loss, and significantly elevated inflammatory markers. Cerebrospinal fluid examination, blood culture, and tests for autoantibodies such as antinuclear antibodies were negative. Pure tone audiology (PTA) indicated bilateral sensorineural deafness. Both Positron emission tomography–computed tomography (PET/CT) and vascular color Doppler ultrasound suggest the presence of vasculitis. Considering Cogan’s syndrome, the patient received 40 mg of methylprednisolone intravenously once daily. The brain’s magnetic resonance imaging (MRI) revealed slightly thickened and enhanced dura mater, suggesting HP. The dose of methylprednisolone was increased to 40 mg intravenously every 8 hours, leading to the patient’s improved symptoms and decreased inflammatory markers. Both CS and HP are rare chronic inflammatory diseases, and their coexistence is even rarer, with only two reported cases in literature up to date. The coexistence of CS and HP should be considered when the CS patients with headaches do not respond well to treatment.Keywords: Cogan’s syndrome, hypertrophic pachymeningitis, vasculitis
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- 2024
7. An imageology-based feasibility study of plating posterolateral tibial plateau fractures via an anterolateral trans-fibular-head approach
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Xiaoji Zhou, Jiangshan Zhou, Huajun Qian, Chunxiao Qian, Bin Xu, Lv Pan, and Xudong Chu
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Imaging ,Knee joint ,Outcomes ,Posterolateral fracture ,Trans-fibular-head approach ,Tibial plateau fractures involving posterolateral quadrant ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background There are many difficulties in the reduction and fixation of the tibial plateau fractures involving posterolateral quadrant using general plates via traditional approaches. By imaging the area above the fibulae capitulum, this study was performed to investigate the feasibility of the trans-fibular-head approach and to design an ideal anatomical plate. Methods MRI and CT scans of the knee joint were collected from 205 healthy volunteers (103 males, 102 females). Gender and height were used to divide the volunteers into groups separately: (1) A1 group and A2 group according to gender, (2) B1 group and B2 group according to height. Based on the images, several parameters were defined and measured to describe the space above the head of the fibula. In addition, differences in these parameters between genders and height were compared. Results The narrowest distance in the bony region was (10.96 ± 1.39) mm, (5.41 ± 0.97 mm) in the bone-ligament region. The narrowest distance of bony region in the A1 group was more than that in the A2 group (11.21 ± 1.62 mm, 10.85 ± 1.47 mm, p = 0.029). The narrowest distance of the bony region was (10.21 ± 1.42) mm and (11.65 ± 1.39) mm in the B1 group and B2 group, respectively (p = 0.002). The narrowest distance of the bone-ligament region was (5.39 ± 0.78) mm and (5.22 ± 1.21) mm in the A1 group and A2 group, respectively. No statistically significant differences were observed between the A1 group and the A2 group in terms of the narrowest distance of the bone-ligament region. In the B1 group, the narrowest distance of the bone-ligament region (5.18 ± 0.71 mm) was not significantly less than that (5.31 ± 0.91 mm) in the B2 group. Conclusion The space above the fibular capitellum was ample enough to place the plate for treating tibial plateau fractures involving posterolateral quadrant. The divisions of the lateral tibial plateau by 3-dimensional CT and the parameters of each region were crucial for providing guidance for designing the anatomical plate for the trans-fibular-head approach.
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- 2024
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8. Exploring the Reform and Innovation Path of Physical Education in Colleges and Universities under the Background of Internet
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Lv Pin
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openpose method ,dtw algorithm ,action-pose matching ,physical education ,97m80 ,Mathematics ,QA1-939 - Abstract
The Internet background and the rapid change in science and technology promote the innovation of traditional college physical education, and the study uses the OpenPose method to detect the key points of students’ bodies in physical education and evaluate their postures. Meanwhile, based on the extraction of feature information of students’ movement postures, the DTW algorithm solves the problem of the inconsistent length of the video sequence of movement postures, matches students’ movement postures, and determines whether the activities of various joints are standardized during students’ movement. The evaluation index system of college physical education is constructed to evaluate the college physical education teaching method proposed in this paper. Apply the method of this paper in practice, using the method of comparing and analyzing the students’ academic interest, physical fitness, motor skills and motor posture before and after the experiment to explore the effectiveness of this paper’s method. The evaluation of the physical education method scored the highest on the secondary index of technology application, the lowest on learning resources, and the highest on the tertiary index of “the ability to use modern educational technology” and “timely and accurate student feedback”. The lowest scores were for “reasonable layout of learning space” and “completeness of facilities”. Before the experiment, the P value of the tennis program of the two groups of male and female students in the 10 dimensions of academic interest, physical fitness and motor skills and the mobility specification of 4 types of joints was greater than 0.05. After the experiment, the two groups of male and female students performed better than the control group in academic interest, physical fitness, motor skills and the mobility specification of joints, and the P value of the two groups of male and female students was less than 0.05. This paper shows that the OpenPose-based approach to physical education in higher education has yielded positive outcomes.
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- 2024
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9. Construction of Intelligent Practice System of Visual Arts Based on VR Technology in Information Age
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Lv Pin
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vr technology ,multi-channel interaction ,visual arts ,intelligence ,interactive experience ,97m50 ,Mathematics ,QA1-939 - Abstract
Taking visual art intelligence as an entry point, this paper describes the transformation brought by the information age to the expression of visual art. Based on VR technology to build a practice system of visual art intelligence, VR positioning technology is used to locate the three-dimensional coordinates of the operator in order to realize the independent positioning of multiple operators in a large space and avoid positioning interference. Through the eye movement multi-channel interaction algorithm based on head-eye synergy, the two-dimensional interaction task in flow field visualization is completed, and then gesture interaction is added to complete the three-dimensional interaction task. The constructed system was implemented in the teaching of art majors at College Z, and the data were analyzed. The results show that the total average scores of innovative theoretical ideas, interactive experience feeling, symbolic integration of creative content and infinite extension of the multidimensional spatial field are 82.42, 83.57, 80.84 and 80.28, respectively. The data show that teachers, students and parents recognize the intelligent system of visual arts and believe that it improves students’ innovative ability in art creation, enhances the interactive experience feeling of visual arts, and provides data support for the continuous research and exploration of contemporary visual arts.
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- 2024
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10. The asymptotic behaviors of solutions for higher-order (m1, m2)-coupled Kirchhoff models with nonlinear strong damping
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Lv Penghui, Lin Guoguang, and Lv Xiaojun
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higher-order coupled kirchhoff system ,nonlinear strong damping ,global attractor family ,35b41 ,35g31 ,Mathematics ,QA1-939 - Abstract
The Kirchhoff model is derived from the vibration problem of stretchable strings. This article focuses on the long-time dynamics of a class of higher-order coupled Kirchhoff systems with nonlinear strong damping. The existence and uniqueness of the solutions of these equations in different spaces are proved by prior estimation and the Faedo-Galerkin method. Subsequently, the family of global attractors of these problems is proved using the compactness theorem. In this article, we systematically propose the definition and proof process of the family of global attractors and enrich the related conclusions of higher-order coupled Kirchhoff models. The conclusions lay a theoretical foundation for future practical applications.
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- 2023
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11. Research on energy consumption modeling method for 5G wireless communication equipment based on AI algorithm
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Lu Yun, Ding Wei, Wang Zicheng, Yin Yiyan, Yang Dan, Lv Peijin, and Yang Xiaokang
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5g base station ,aau energy consumption ,modeling ,machine learning algorithms ,Electronics ,TK7800-8360 - Abstract
Based on a large amount of energy consumption, performance indicators and base station configuration data that can be collected in the 5G network management system, this paper uses machine learning algorithms to establish an energy consumption calculation model for common AAU equipment on the existing network, and verifies the accuracy of the model. The test results show that the accuracy of the energy consumption calculation models established by this scheme for several common AAU devices in the existing network has reached more than 97%, which fully proves that the energy consumption modeling method has high practicability and promotion value.
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- 2023
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12. Extraction of rubidium ion from brine solutions by dicyclohexano-18-crown-6 / ionic liquid system
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Huang Dongfang, Ma Guixiang, Lv Peng, and Zhou Quanbao
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rubidium ,ionic liquid ,dicyclohexano-18-crown-6 ,solvent extraction ,Chemistry ,QD1-999 - Abstract
Separation among rubidium and potassium ions from salt lake brines remains challenging. In this work, a typical room temperature ionic liquid 1-ethyl-3-metyhlimidazaolium bis(trifluoromethylsulfonyl)imide ([C2mim+][NTf2–]) was used as diluent and synergistic extractant, dicyclohexano-18-crown-6 (DCH18C6) was used as extractant to extract rubidium ions from brine solutions which contain high concentrations of potassium ions was investigated. Under the optimal conditions, the single extraction efficiency of rubidium ions was up 93.63%. The thermodynamic parameters of the rubidium ion extraction were obtained. Based on the slope analysis method, the extracted species in the organic phase were ascertained as 1:1 complex. UV-visible has been performed to investigate the ion concentration of ionic liquid before and after the interaction of metal ions and ligands. Rubidium ions in [Rb · DCH18C6]+ complex were stripped by 2.5 mol · L–1 NH4NO3. The extraction system offers high efficiency, simplicity and environmentally friendly application prospect to separate rubidium from brine solutions.
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- 2023
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13. An Interesting Case of Ingrowing Hair
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Huang J, Yang Q, Lv P, Xiong X, and Liu O
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cutaneous pili migrans、ingrowing hair、creeping hair ,Dermatology ,RL1-803 - Abstract
Jiangxia Huang,1 Qianru Yang,1 Pan Lv,1 Xiaoyan Xiong,2 Ougen Liu1 1Department of Dermatology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Department of Ophthalmology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People’s Republic of ChinaCorrespondence: Ougen Liu, Department of Dermatology, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, Jiangxi, 330006, People’s Republic of China, Email 13576296646@163.comAbstract: Cutaneous pili migrans is a rare condition caused by embedded hair shafts or fragments which presents as a mobile black linear rash and is easily confused with cutaneous larva migrans. “Ingrowing hair”, in which the hair shaft grows inside the skin and burrows into the uppermost dermis rather than exiting the skin, is much rarer, and only 8 cases have been reported thus far, all in Asian men. We report a case of a 22-year-old Chinese male with a 4 cm-long black linear rash that migrated from the anterior abdomen to the left lower abdomen. The black lines represented hair shafts with follicular structures. The lesion disappeared immediately after hair removal. No recurrence occurred in 4 weeks of follow-up. To our knowledge, this is the first description of ingrowing hair occurring in the abdomen.Keywords: cutaneous pili migrans, ingrowing hair, creeping hair
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- 2023
14. Systemic Immune-Inflammation Index is Associated with Cerebral Small Vessel Disease Burden and Cognitive Impairment
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Xiao Y, Teng Z, Xu J, Qi Q, Guan T, Jiang X, Chen H, Xie X, Dong Y, and Lv P
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systemic immune-inflammation index ,inflammation ,cognitive impairment ,cerebral small vessel disease ,total burden ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Yining Xiao,1– 3 Zhenjie Teng,1– 3 Jing Xu,2,3 Qianqian Qi,2 Tianyuan Guan,1,2 Xin Jiang,2,3 Huifang Chen,2 Xiaohua Xie,2 Yanhong Dong,2,3 Peiyuan Lv1– 3 1Department of Neurology, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 2Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China; 3Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, Hebei, People’s Republic of ChinaCorrespondence: Peiyuan Lv, Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, People’s Republic of China, Email peiyuanlu2@163.comObjective: This study sought to explore the associations of the systemic immune-inflammation index (SII) with total cerebral small vessel disease (CSVD) burden and cognitive impairment.Methods: We enrolled 201 patients in the retrospective study with complete clinical and laboratory data. The SII was calculated as platelet count × neutrophil count/lymphocyte count. Cognitive function was evaluated by the Mini-Mental State Examination (MMSE). Total CSVD burden was assessed based on magnetic resonance imaging. We performed logistic regression models, Spearman correlation, and mediation analysis to evaluate the associations of SII with CSVD burden and cognitive impairment.Results: After adjustment for confounding factors in the multivariate binary logistic regression model, elevated SII (odds ratio [OR], 3.263; 95% confidence interval [CI], 1.577– 6.752; P = 0.001) or severe CSVD burden (OR, 2.794; 95% CI, 1.342– 5.817; P = 0.006) was significantly associated with the risk of cognitive impairment. Correlation analyses revealed that SII levels were negatively associated with MMSE scores (rs = − 0.391, P < 0.001), and positively associated with the total CSVD burden score (rs = 0.361, P < 0.001). Moreover, SII was significantly related to the severity of the CSVD burden (OR, 2.674; 95% CI, 1.359– 5.263; P = 0.004). The multivariable-adjusted odds ratios (95% CI) in highest tertile versus lowest tertile of SII were 8.947 (3.315– 24.145) for cognitive impairment and 4.945 (2.063– 11.854) for severe CSVD burden, respectively. The effect of higher SII on cognitive impairment development was partly mediated by severe CSVD burden.Conclusion: Elevated SII is associated with severe CSVD burden and cognitive impairment. The mediating role of severe CSVD burden suggests that higher SII may contribute to cognitive impairment through aggravating CSVD burden.Keywords: systemic immune-inflammation index, inflammation, cognitive impairment, cerebral small vessel disease, total burden
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- 2023
15. Prognosis and Personalized Treatment Prediction in Different Mutation-Signature Hepatocellular Carcinoma
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Zhang Y, Liu Z, Li J, Li X, Duo M, Weng S, Lv P, Jiang G, Wang C, Li Y, Liu S, and Li Z
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hepatocellular carcinoma ,mutation signature ,gene pairs ,precision therapy ,machine learning ,prognosis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Yuyuan Zhang,1,* Zaoqu Liu,1,* Jie Li,1 Xin Li,1 Mengjie Duo,2 Siyuan Weng,1 Peijie Lv,3 Guozhong Jiang,4 Caihong Wang,5 Yan Li,6 Shichao Liu,6 Zhen Li1 1Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China; 3Department of Radiology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People’s Republic of China; 4Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China; 5Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China; 6Department Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhen Li, Email lzlyct620@163.comIntroduction: Mutation patterns have been extensively explored to decipher the etiologies of hepatocellular carcinoma (HCC). However, the study and potential clinical role of mutation patterns to stratify high-risk patients and optimize precision therapeutic strategies remain elusive in HCC.Methods: Using exon-sequencing data in public (n=362) and in-house (n=30) cohorts, mutation signatures were extracted to decipher relationships with the etiology and prognosis in HCC. The proteomics (n=159) and cell-line transcriptome data (n=1019) were collected to screen the implication of sensitive drugs. A novel multi-step machine-learning framework was then performed to construct a classification predictor, including recognizing stable reversed gene pairs, establishing a robust prediction model, and validating the robustness of the predictor in five independent cohorts (n=900).Results: Two heterogeneous mutation signature clusters were identified, and a high-risk prognosis cluster was recognized for further analysis. Notably, mutation signature cluster 1 (MSC1) was featured by activated anti-tumor immune and metabolism dysfunctional states, higher genomic instability (high TMB, SNV neoantigen, indel neoantigens, and total neoantigens), and a dismal prognosis. Notably, MSC performed as an independent risk factor than clinical traits (eg, stage, vascular invasion). Additionally, afatinib and canertinib were recognized which might have potential therapeutic implications in MSC1, and the targets of these drugs presented a higher expression in both gene and protein levels in HCC.Discussion: Our studies may provide a promising platform for improving prognosis and tailoring therapy in HCC.Keywords: hepatocellular carcinoma, mutation signature, gene pairs, precision therapy, machine learning, prognosis
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- 2023
16. Subclinical Hypothyroidism is Associated with Cognitive Impairment in Patients with Cerebral Small Vessel Disease
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Teng Z, Feng J, and Lv P
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subclinical hypothyroidism ,cognitive function ,cerebral small vessel disease ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Zhenjie Teng,1– 3,* Jing Feng,4,* Peiyuan Lv1– 3 1Department of Neurology, Hebei Medical University, Shijiazhuang, People’s Republic of China; 2Department of Neurology, Hebei General Hospital, Shijiazhuang, People’s Republic of China; 3Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, People’s Republic of China; 4Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Peiyuan Lv, Department of Neurology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei Province, 050051, People’s Republic of China, Tel/Fax +86 31185988906, Email peiyuanlu2@163.comObjective: To investigate the association between subclinical hypothyroidism (SCH) and cognitive function in patients with cerebral small vessel disease (CSVD).Methods: We evaluated 528 patients with CSVD in this retrospective study. SCH was defined as elevated levels of thyroid stimulating hormone with normal concentrations of free thyroxine. Magnetic resonance imaging was performed to assess the total CSVD burden score and the Montreal Cognitive Assessment was used to measure the cognitive function. Participants were grouped based on cognitive function or total CSVD burden score. Multivariate logistic regression and mediation analysis models were used to estimate the association of SCH with cognitive function and CSVD burden.Results: SCH was an independent risk factor for cognitive impairment in patients with CSVD after adjustment for potential confounding factors (OR: 1.939; 95% CI: 1.170 to 3.213; P=0.010). Additionally, SCH was independently associated with severe CSVD burden after adjustment for potential confounding factors (OR: 1.668; 95% CI: 1.085 to 2.564; P=0.020). Mediation analysis found a significant moderating effect (P=0.021) of the severe CSVD burden on the relation between SCH and cognitive impairment after adjustment for potential confounding factors. A 30.1% of the total effect between this relation was attributable to the presence of severe CSVD burden.Conclusion: SCH was associated with an increased risk of cognitive impairment in patients with CSVD. The mediating role of severe CSVD burden suggests that SCH may lead to cognitive impairment through the presence of severe CSVD burden. These findings may suggest strategies for screening for SCH in the context of cognitive impairment in patients with severe CSVD.Keywords: subclinical hypothyroidism, cognitive function, cerebral small vessel disease
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- 2023
17. Cerebral Small Vessel Disease is Associated with Mild Cognitive Impairment in Type 2 Diabetes Mellitus
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Teng Z, Feng J, Liu R, Dong Y, Chen H, Xu J, Jiang X, Li R, and Lv P
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type 2 diabetes mellitus ,mild cognitive impairment ,cerebral small vessel disease ,Specialties of internal medicine ,RC581-951 - Abstract
Zhenjie Teng,1,2 Jing Feng,3 Ronghui Liu,4 Yanhong Dong,2 Huifang Chen,2 Jing Xu,2 Xin Jiang,2 Rui Li,2 Peiyuan Lv1,2 1Department of Neurology, Hebei Medical University, Shijiazhuang, Hebei Province, People’s Republic of China; 2Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei Province, People’s Republic of China; 3Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei Province, People’s Republic of China; 4Department of Radiology, Hebei General Hospital, Shijiazhuang, Hebei Province, People’s Republic of ChinaCorrespondence: Peiyuan Lv, Department of Neurology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei Province, 050051, People’s Republic of China, Tel/Fax +86 31185988906, Email peiyuanlu2@163.comObjective: Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment, but the underlying cerebral small vessel disease (CSVD)-related structural brain correlates are unclear. The aim of this study was to investigate the relationship between various imaging markers of CSVD and mild cognitive impairment (MCI) in patients with T2DM.Methods: A total of 228 eligible participants with T2DM who were divided into MCI group and normal cognitive group based on neuropsychological assessment were enrolled in this retrospective study. White matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces (EPVS) were evaluated based on brain magnetic resonance imaging (MRI). The total CSVD burden score was calculated by combining the above four markers of CSVD. Binary logistic regression analysis was used to evaluate the relationship between different imaging markers of CSVD and MCI in patients with T2DM. Kruskal–Wallis test and Jonckheere–Terpstra test were used to compare mean MoCA scores among individuals with varying CSVD markers.Results: In the multivariate binary logistic regression analyses, moderate or severe total CSVD burden (OR: 3.29, 95% CI: 1.63– 7.38, P=0.004; OR: 10.97, 95% CI: 4.94– 24.34, P< 0.001, respectively), moderate dWMH (OR: 3.26, 95% CI: 1.43– 7.41, P=0.005), extensive lacunes (OR: 4.97, 95% CI: 1.79– 13.81, P=0.002), and moderate BG-EPVS (OR: 3.84, 95% CI: 1.81– 8.13, P< 0.001) were associated with MCI in patients with T2DM related to MCI after adjusting for potential confounders. There was a trend for significant decrease in MoCA scores with increase severity of dWMH, pWMH, lacunes, BG-EPVS, deep CMBs, or total CSVD burden (P for trend < 0.05).Conclusion: Different imaging markers of CSVD, particularly total CSVD burden, were associated with an increased risk of MCI and decline in MoCA scores in patients with T2DM. These findings may provide clues for future studies to explore early diagnostic imaging markers of cognitive impairment in relation to T2DM.Keywords: type 2 diabetes mellitus, mild cognitive impairment, cerebral small vessel disease
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- 2022
18. Decision-making psychological state and characteristic of proxies of thrombolytic patients: a pilot study
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Guo Yuanli, Liu Yanjin, Guo Lina, Dong Xiaofang, Yang Caixia, Wang Min, Gao Huanhuan, Lv Peihua, and Ma Keke
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Medicine ,Science - Abstract
Abstract Intravenous thrombolysis is the preferred treatment modality for acute ischemic stroke. In China, written informed consent from patients or proxies must be obtained before intravenous thrombolysis is performed, which always leads to in-hospital delay of thrombolysis. To explore the relationship between characteristics of thrombolysis decision-making and psychological states of proxies of AIS patients. This was a pilot study. 231 proxies of AIS patients were recruited, including 147 males and 84 females. STAI, WFPTS, CAOT, CPS, C-DCS and time-consuming of decision-making were collected by trained nurses during the period from signing informed consent to thrombolysis finished. The general information was collected within 24 h after admission. Pearson correlation analysis and the Ridge regression analysis were used to explore the correlation and causality between psychological indicators (STAI, WFPTS, CAOT, CPS) and decision-making characteristics (C-DCS, Time consuming). Structural equation modeling was used to explore the direct and indirect effect of psychological factors on decision-making characteristics. The mean of anxiety, trust in physicians, and decision conflict were 49.20 ± 9.50, 37.83 ± 6.63 and 30.60 ± 14.77, respectively. The CAOT was associated with C-DCS through the mediation of STAI and WFPTS (p
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- 2022
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19. Method for Evaluation of Foxtail Millet Cooking and Edible Quality
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LV Ping, LIU Jian-lei, DUAN Xiao-liang, WANG Qian, CHANG Liu, ZHAO Lu-yao, ZHANG Dong, and SUN Hui
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cooked foxtail millet ,edible quality ,sensory evaluation ,instrument evaluation ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Foxtail millet, a high-quality coarse cereal, is generally used to cook porridge. Cooked foxtail millet is another food product of this cereal. However, a systematic evaluation method for the eating quality of cooked foxtail millet has not yet been established. In this study, heater type, millet-to-water mass ratio, water type, and soaking time affecting the edible quality of cooked foxtail millet (Variety: Zhangzagu 13) were investigated. The hardness viscometer, colorimeter and sensory evaluation were used to comprehensively evaluate the edible quality of millet. The optimal cooking method was determined as follows: Firstly, put 300 g of millet in an electric cooker and wash twice with deionized water quickly. Secondly, add deionized water in a mass ratio of millet to water 1.0∶2.0 and soak for 30 min. Finally, cook millet for about 45 minutes in the essence rice mode. After cooking, stir well and stew for 20 min. This research provides an important scientific basis for foxtail millet cooking and edible quality evaluation.
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- 2022
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20. Chemiexcited Photodynamic Therapy Integrated in Polymeric Nanoparticles Capable of MRI Against Atherosclerosis
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Mu D, Wang X, Wang H, Sun X, Dai Q, Lv P, Liu R, Qi Y, Xie J, Xu B, and Zhang B
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photodynamic therapy ,atherosclerosis ,chemi-excited ,macrophages ,mri ,Medicine (General) ,R5-920 - Abstract
Dan Mu,1,* Xin Wang,1,* Huiting Wang,1 Xuan Sun,2 Qing Dai,2 Pin Lv,1 Renyuan Liu,1 Yu Qi,2 Jun Xie,2 Biao Xu,2,3 Bing Zhang1,4 1Department of Radiology, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, People’s Republic of China; 2Department of Cardiology, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210008, People’s Republic of China; 3State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, Jiangsu, 210023, People’s Republic of China; 4Institute of Brain Science, Nanjing University, Nanjing, Jiangsu, 210008, People’s Republic of China*These authors contributed equally to this workCorrespondence: Biao Xu; Bing Zhang, Email xubiao62@nju.edu.cn; zhangbing_nanjing@nju.edu.cnBackground: Photodynamic therapy (PDT) has achieved continued success in the treatment of tumors, but its progress in the treatment of atherosclerosis has been limited, mainly due to the low tissue-penetration ability of the excitation light for photosensitizers.Methods: In this study, we designed a chemiexcited system producing singlet oxygen in an attempt to apply PDT for the treatment of atherosclerosis without the irradiation of external light. The system designed was polymeric nanoparticles (NPs) equipped with chemical fuel and photosensitizers, cross-linked with an Fe3+–catechol complex for stabilization and magnetic resonance imaging (MRI).Results: The system (FeCNPs for short) accumulated effectively in plaques, providing persistent and enhanced T1-weighted contrast ability. FeCNPs also prevented progression of atherosclerosis via macrophage elimination, and obviously reduced plaque size and thickness revealed by T1-weighted MRI. Expression of CD68, MCP1, and TNFα was significantly reduced after treatment. However, low doses of FeCNPs exhibited better therapeutic efficacy than high doses. Furthermore, low-dose FeCNPs exhibited effective macrophage elimination in aortic arches and abdominal aortae, but inefficiency in the thoracic aorta, aortic hiatus, and aorta–iliac bifurcation.Conclusion: This study provides the first example of a combination of MRI and chemiexcited PDT for atherosclerosis, evidencing the effectiveness of PDT and providing significant pointers for developing nanotherapy on atherosclerosis.Keywords: photodynamic therapy, atherosclerosis, chemi-excited, macrophages, MRI
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- 2022
21. Exploring Psychoneurological Symptom Clusters in Acute Stroke Patients: A Latent Class Analysis
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Dong X, Yang S, Guo Y, Lv P, and Liu Y
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pain ,fatigue ,sleep disturbance ,anxiety ,depression ,Medicine (General) ,R5-920 - Abstract
Xiaofang Dong,1 Sen Yang,2 Yuanli Guo,1 Peihua Lv,1 Yanjin Liu1 1Neurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 2Orthopedics Department, The Seventh People’s Hospital of Zhengzhou, Zhengzhou, Henan Province, People’s Republic of ChinaCorrespondence: Yanjin Liu, Neurology Department, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, Henan, 450052, People’s Republic of China, Tel +86 13523548732, Email luomeiruxue139@sina.com; liu-yanjin@126.comPurpose: To identify latent classes of acute stroke patients with distinct experiences with the symptom clusters of depression, anxiety, fatigue, sleep disturbance, and pain symptoms and assess, if the selected variables determine a symptom-cluster experience in acute stroke patients.Participants and Methods: A sample of 690 participants were collected from July 2020 to December 2020 in a cross-sectional descriptive study. Latent class analysis was conducted to distinguish different clusters of acute stroke participants who experienced five patient-reported symptoms. Furthermore, multinomial logistic regression was selected to verify the influencing indicators of each subgroup, with selected socio-demographic variables, clinical characteristics, self-efficacy, and perceived social support as independent variables and the different latent classes as the dependent variable.Results: Three latent classes, named “all high symptom,” “high psychological disorder,” and “all low symptom,” were identified, accounting for 9.6%, 26.3%, and 64.1% of symptom clusters, respectively. Patients in the “all high symptom” and “high psychological disorder” classes reported significantly lower quality of life (F=40.21, p < 0.05). Female gender, younger age, higher National Institutes of Health Stroke Scale scores, and lower self-efficacy and perceived social support were risk factors associated with the “high psychological disorder” class. Younger patients with lower self-efficacy and perceived social support were more likely to be in the “all high symptom” class.Conclusion: This study identified latent classes of acute stroke patients that can be used in predicting symptom-cluster experiences following a stroke. Also, the ability to characterize subgroups of patients with distinct symptom experiences helps identify high-risk patients. Focusing on symptom clusters in clinical practice can inspire us to create effective targeted interventions for subgroups of stroke patients suffering from the same symptom cluster.Keywords: pain, fatigue, sleep disturbance, anxiety, depression
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- 2022
22. The family of random attractors for nonautonomous stochastic higher-order Kirchhoff equations with variable coefficients
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Lv Penghui, Lin Guoguang, and Sun Yuting
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nonautonomous higher-order kirchhoff equation ,partial differential equations ,variable coefficient ,the family of random attractors ,additive noise ,37b55 ,35b41 ,35g31 ,60h15 ,Mathematics ,QA1-939 - Abstract
In this paper, the stochastic asymptotic behavior of the nonautonomous stochastic higher-order Kirchhoff equation with variable coefficients is studied. By using the Galerkin method, the solution of this kind of equation is obtained, and stochastic dynamical system under this kind of equation is obtained; by using the uniform estimation, the existence of the family of Dk{{\mathcal{D}}}_{k}-absorbing sets of the stochastic dynamical system Φk{\Phi }_{k} is obtained, and the asymptotic compactness of Φk{\Phi }_{k} is proved by the decomposition method. Finally, the Dk{{\mathcal{D}}}_{k}-stochastic attractor family of the stochastic dynamical system Φk{\Phi }_{k} in Vm+k(Ω)×Vk(Ω){V}_{m+k}\left(\Omega )\times {V}_{k}\left(\Omega ) is obtained.
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- 2022
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23. PARAMETER EQUIVALENT METHOD OF STATOR ANISOTROPIC MATERIAL BASED ON MODAL ANALYSIS
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TANG YouLiang, LV PinDe, ZHANG Jin, and LI ShouJun
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Anisotropic material parameter correction method ,Modal analysis ,Modal experiment ,Finite element analysis ,Mechanical engineering and machinery ,TJ1-1570 ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Accurate calculation of the mode shape and natural frequency of the motor stator is the basis for reducing motor noise and vibration. At present, scholars have disputes about the setting of stator core and winding material property parameters. In this paper, the modal simulation analysis and experimental test of a 2.2 kW permanent magnet brushless DC motor stator system are carried out. First, to give the stator core and the winding materials, The finite element software is used to analyze the relationship between the motor modal frequency and the parameters of the anisotropic materials. According to the modal frequency variation law, a method for correcting the parameters of the anisotropic materials based on the modal frequency is proposed. The method can complete the finite element model parameter correction of the stator. Secondly, the modal experiment is carried out by hammering method to verify the accuracy of the finite element model and determine the effectiveness of the method for correcting the equivalent material parameters. And by this method, the stator material parameters of the stator can be quickly determined. The error of this experiment and simulation is within 3%, achieving the purpose of experiment and simulation benchmarking.
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- 2022
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24. Post-selection shifts the transition frequency of helium in an atomic beam
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Wen, Jin-Lu, Tang, Jia-Dong, Lv, Ya-Nan, Sun, Yu R., Zou, Chang-Ling, Dong, Jun-Feng, and Hu, Shui-Ming
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Physics - Atomic Physics ,Quantum Physics - Abstract
Post-selecting output states in measurements can effectively amplify weak signals and improve precision. However, post-selection effects may also introduce unintended biases in precision measurements. Here, we investigate the influence of post-selection in the precision spectroscopy of the $2^3S - 2^3P$ transition of helium ($^4$He) using an atomic beam. We directly observe that post-selection based on atomic positions causes a shift in the measured transition frequency, amounting to approximately -55 kHz. After accounting for this post-selection shift, we obtain a corrected frequency of $276,764,094,712.45 \pm 0.86$ kHz for the $2^3S_1 - 2^3P_0$ transition. Combining this result with existing data for $^3$He, we derive a new value for the difference in squared nuclear charge radii, $\delta r^2 [r_{h}^{2} - r_{\alpha}^{2}] = 1.0733 \pm 0.0021$ fm$^2$. This value shows a $2.8\sigma$ deviation from measurements of muonic helium ions, potentially pointing to new physics that challenges lepton universality in quantum electrodynamics., Comment: 14 pages including appendix
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- 2024
25. MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity
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Lv, Xiao, Cao, Jiangxia, Guan, Shijie, Zhou, Xiaoyou, Qi, Zhiguang, Zang, Yaqiang, Li, Ming, Wang, Ben, Gai, Kun, and Zhou, Guorui
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Computer Science - Information Retrieval - Abstract
Scaling-law has guided the language model designing for past years, however, it is worth noting that the scaling laws of NLP cannot be directly applied to RecSys due to the following reasons: (1) The amount of training samples and model parameters is typically not the bottleneck for the model. Our recommendation system can generate over 50 billion user samples daily, and such a massive amount of training data can easily allow our model parameters to exceed 200 billion, surpassing many LLMs (about 100B). (2) To ensure the stability and robustness of the recommendation system, it is essential to control computational complexity FLOPs carefully. Considering the above differences with LLM, we can draw a conclusion that: for a RecSys model, compared to model parameters, the computational complexity FLOPs is a more expensive factor that requires careful control. In this paper, we propose our milestone work, MARM (Memory Augmented Recommendation Model), which explores a new cache scaling-laws successfully., Comment: Work in progress
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- 2024
26. A machine learning enhanced discontinuous Galerkin method for simulating transonic airfoil flow-fields
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Feng, Yiwei, Lv, Lili, Yuan, Weixiong, Xu, Liang, and Liu, Tiegang
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Physics - Fluid Dynamics ,Physics - Computational Physics ,65N30, 68U20, 68T42 ,J.2 ,I.2 - Abstract
Accurate and rapid prediction of flow-fields is crucial for aerodynamic design. This work proposes a discontinuous Galerkin method (DGM) whose performance enhances with increasing data, for rapid simulation of transonic flow around airfoils under various flow conditions. A lightweight and continuously updated data-driven model is built offline to predict the roughly correct flow-field, and the DGM is then utilized to refine the detailed flow structures and provide the corrected data. During the construction of the data-driven model, a zonal proper orthogonal decomposition (POD) method is designed to reduce the dimensionality of flow-field while preserving more near-wall flow features, and a weighted-distance radial basis function (RBF) is constructed to enhance the generalization capability of flow-field prediction. Numerical results demonstrate that the lightweight data-driven model can predict the flow-field around a wide range of airfoils at Mach numbers ranging from 0.7 to 0.95 and angles of attack from -5 to 5 degrees by learning from sparse data, and maintains high accuracy of the location and essential features of flow structures (such as shock waves). In addition, the machine learning (ML) enhanced DGM is able to significantly improve the computational efficiency and simulation robustness as compared to normal DGMs in simulating transonic inviscid/viscous airfoil flow-fields on arbitrary grids, and further enables rapid aerodynamic evaluation of numerous sample points during the surrogate-based aerodynamic optimization., Comment: 32 pages, 16 figures
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- 2024
27. DarkSHINE Baseline Design Report: Physics Prospects and Detector Technologies
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Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, and Zhu, Yi-Fan
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Physics - Instrumentation and Detectors ,High Energy Physics - Experiment - Abstract
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High repetition rate XFEL and Extreme light facility (SHINE). This report elaborates the baseline design of DarkSHINE experiment by introducing the physics goals, experimental setups, details of each sub-detector system technical designs, signal and backgground modelings, expected search sensitivities and future prospects, which mark an important step towards the further prototyping and technical demonstrations.
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- 2024
28. A Survey of Machine Learning-based Physical-Layer Authentication in Wireless Communications
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Meng, Rui, Xu, Bingxuan, Xu, Xiaodong, Sun, Mengying, Wanga, Bizhu, Han, Shujun, Lv, Suyu, and Zhang, Ping
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Computer Science - Cryptography and Security ,Electrical Engineering and Systems Science - Systems and Control - Abstract
To ensure secure and reliable communication in wireless systems, authenticating the identities of numerous nodes is imperative. Traditional cryptography-based authentication methods suffer from issues such as low compatibility, reliability, and high complexity. Physical-Layer Authentication (PLA) is emerging as a promising complement due to its exploitation of unique properties in wireless environments. Recently, Machine Learning (ML)-based PLA has gained attention for its intelligence, adaptability, universality, and scalability compared to non-ML approaches. However, a comprehensive overview of state-of-the-art ML-based PLA and its foundational aspects is lacking. This paper presents a comprehensive survey of characteristics and technologies that can be used in the ML-based PLA. We categorize existing ML-based PLA schemes into two main types: multi-device identification and attack detection schemes. In deep learning-based multi-device identification schemes, Deep Neural Networks are employed to train models, avoiding complex processing and expert feature transformation. Deep learning-based multi-device identification schemes are further subdivided, with schemes based on Convolutional Neural Networks being extensively researched. In ML-based attack detection schemes, receivers utilize intelligent ML techniques to set detection thresholds automatically, eliminating the need for manual calculation or knowledge of channel models. ML-based attack detection schemes are categorized into three sub-types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Additionally, we summarize open-source datasets used for PLA, encompassing Radio Frequency fingerprints and channel fingerprints. Finally, this paper outlines future research directions to guide researchers in related fields., Comment: 111 pages, 9 figures
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- 2024
29. TDGCN-Based Mobile Multiuser Physical-Layer Authentication for EI-Enabled IIoT
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Meng, Rui, Zhao, Hangyu, Xu, Bingxuan, Wang, Yining, Xu, Xiaodong, Lv, Suyu, Tao, Xiaofeng, and Zhang, Ping
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Electrical Engineering and Systems Science - Signal Processing - Abstract
Physical-Layer Authentication (PLA) offers endogenous security, lightweight implementation, and high reliability, making it a promising complement to upper-layer security methods in Edge Intelligence (EI)-empowered Industrial Internet of Things (IIoT). However, state-of-the-art Channel State Information (CSI)-based PLA schemes face challenges in recognizing mobile multi-users due to the limited reliability of CSI fingerprints in low Signal-to-Noise Ratio (SNR) environments and the constantly shifting CSI distributions with user movements. To address these issues, we propose a Temporal Dynamic Graph Convolutional Network (TDGCN)-based PLA scheme. This scheme harnesses Intelligent Reflecting Surfaces (IRSs) to refine CSI fingerprint precision and employs Graph Neural Networks (GNNs) to capture the spatio-temporal dynamics induced by user movements and IRS deployments. Specifically, we partition hierarchical CSI fingerprints into multivariate time series and utilize dynamic GNNs to capture their associations. Additionally, Temporal Convolutional Networks (TCNs) handle temporal dependencies within each CSI fingerprint dimension. Dynamic Graph Isomorphism Networks (GINs) and cascade node clustering pooling further enable efficient information aggregation and reduced computational complexity. Simulations demonstrate the proposed scheme's superior authentication accuracy compared to seven baseline schemes., Comment: 9 pages, 12 figures
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- 2024
30. Exploring Thouless Pumping in the Generalized Creutz Model: A Graphical Method and Modulation Schemes
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Lv, Yan-Jue, Peng, Yang, Liu, Yong-Kai, and Zheng, Yi
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Condensed Matter - Quantum Gases ,Quantum Physics - Abstract
Thouless pumping with nontrivial topological phases provides a powerful means for the manipulation of matter waves in one-dimensional lattice systems. The band topology is revealed by the quantization of pumped charge. In the context of Thouless pumping, we present a graphical representation for the topological phases characterized by the Chern number of an effective two-dimensional band. We illustrate how the two topological phases with distinct Zak phase is connected in the pumping process. Such a visual depiction exhibits typical patterns that is directly related to a linking number and to the Chern number, allowing for the construction of Thouless pumping schemes in a practical way. As a demonstration, we present a generalized Creutz model with tunable Peierls phase, inter-leg imbalance and diagonal hopping. Various modulation schemes for Thouless pumping are studied, focusing on their graphical representations in Bloch space, as well as the quantized pumping phenomenon in real space., Comment: 10 pages, 14 figures
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- 2024
31. Exogenous Randomness Empowering Random Forests
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Mei, Tianxing, Fan, Yingying, and Lv, Jinchi
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Mathematics - Statistics Theory - Abstract
We offer theoretical and empirical insights into the impact of exogenous randomness on the effectiveness of random forests with tree-building rules independent of training data. We formally introduce the concept of exogenous randomness and identify two types of commonly existing randomness: Type I from feature subsampling, and Type II from tie-breaking in tree-building processes. We develop non-asymptotic expansions for the mean squared error (MSE) for both individual trees and forests and establish sufficient and necessary conditions for their consistency. In the special example of the linear regression model with independent features, our MSE expansions are more explicit, providing more understanding of the random forests' mechanisms. It also allows us to derive an upper bound on the MSE with explicit consistency rates for trees and forests. Guided by our theoretical findings, we conduct simulations to further explore how exogenous randomness enhances random forest performance. Our findings unveil that feature subsampling reduces both the bias and variance of random forests compared to individual trees, serving as an adaptive mechanism to balance bias and variance. Furthermore, our results reveal an intriguing phenomenon: the presence of noise features can act as a "blessing" in enhancing the performance of random forests thanks to feature subsampling., Comment: 103 pages, 10 figures
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- 2024
32. More Expressive Attention with Negative Weights
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Lv, Ang, Xie, Ruobing, Li, Shuaipeng, Liao, Jiayi, Sun, Xingwu, Kang, Zhanhui, Wang, Di, and Yan, Rui
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
We propose a novel attention mechanism, named Cog Attention, that enables attention weights to be negative for enhanced expressiveness, which stems from two key factors: (1) Cog Attention can shift the token deletion and copying function from a static OV matrix to dynamic QK inner products, with the OV matrix now focusing more on refinement or modification. The attention head can simultaneously delete, copy, or retain tokens by assigning them negative, positive, or minimal attention weights, respectively. As a result, a single attention head becomes more flexible and expressive. (2) Cog Attention improves the model's robustness against representational collapse, which can occur when earlier tokens are over-squashed into later positions, leading to homogeneous representations. Negative weights reduce effective information paths from earlier to later tokens, helping to mitigate this issue. We develop Transformer-like models which use Cog Attention as attention modules, including decoder-only models for language modeling and U-ViT diffusion models for image generation. Experiments show that models using Cog Attention exhibit superior performance compared to those employing traditional softmax attention modules. Our approach suggests a promising research direction for rethinking and breaking the entrenched constraints of traditional softmax attention, such as the requirement for non-negative weights.
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- 2024
33. Robust optimal stopping with regime switching
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Lv, Siyu, Wu, Zhen, Xiong, Jie, and Zhang, Xin
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Mathematics - Optimization and Control - Abstract
In this paper, we study an optimal stopping problem in the presence of model uncertainty and regime switching. The max-min formulation for robust control and the dynamic programming approach are adopted to establish a general theoretical framework for such kind of problem. First, based on the dynamic programming principle, the value function of the optimal stopping problem is characterized as the unique viscosity solution to the associated Hamilton-Jacobi-Bellman equation. Then, the so-called smooth-fit principle for optimal stopping problems is proved in the current context, and a verification theorem consisting of a set of sufficient conditions for robust optimality is established. Moreover, when the Markov chain has a large state space and exhibits a two-time-scale structure, a singular perturbation approach is utilized to reduce the complexity involved and obtain an asymptotically optimal solution. Finally, an example of choosing the best time to sell a stock is provided, in which numerical experiments are reported to illustrate the implications of model uncertainty and regime switching.
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- 2024
34. Multiple-partition cross-modulation programmable metasurface empowering wireless communications
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Zhang, Jun Wei, Qi, Zhen Jie, Wu, Li Jie, Cao, Wan Wan, Gao, Xinxin, Fu, Zhi Hui, Chen, Jing Yu, Lv, Jie Ming, Wang, Zheng Xing, Wang, Si Ran, Wu, Jun Wei, Zhang, Zhen, Zhang, Jia Nan, Li, Hui Dong, Dai, Jun Yan, Cheng, Qiang, and Cui, Tie Jun
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Physics - Applied Physics - Abstract
With the versatile manipulation capability, programmable metasurfaces are rapidly advancing in their intelligence, integration, and commercialization levels. However, as the programmable metasurfaces scale up, their control configuration becomes increasingly complicated, posing significant challenges and limitations. Here, we propose a multiple-partition cross-modulation (MPCM) programmable metasurface to enhance the wireless communication coverage with low hardware complexity. We firstly propose an innovative encoding scheme to multiply the control voltage vectors of row-column crossing, achieving high beamforming precision in free space while maintaining low control hardware complexity and reducing memory requirements for coding sequences. We then design and fabricate an MPCM programmable metasurface to confirm the effectiveness of the proposed encoding scheme. The simulated and experimental results show good agreements with the theoretically calculated outcomes in beam scanning across the E and H planes and in free-space beam pointing. The MPCM programmable metasurface offers strong flexibility and low complexity by allowing various numbers and combinations of partition items in modulation methods, catering to diverse precision demands in various scenarios. We demonstrate the performance of MPCM programmable metasurface in a realistic indoor setting, where the transmissions of videos to specific receiver positions are successfully achieved, surpassing the capabilities of traditional programmable metasurfaces. We believe that the proposed programmable metasurface has great potentials in significantly empowering the wireless communications while addressing the challenges associated with the programmable metasurface's design and implementation.
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- 2024
35. Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation
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Liu, Peidong, Zhang, Wenbo, Zhe, Xue, Lv, Jiancheng, and Liu, Xianggen
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Computer Science - Machine Learning - Abstract
The efficacy of diffusion models in generating a spectrum of data modalities, including images, text, and videos, has spurred inquiries into their utility in molecular generation, yielding significant advancements in the field. However, the molecular generation process with diffusion models involves multiple autoregressive steps over a finite time horizon, leading to exposure bias issues inherently. To address the exposure bias issue, we propose a training framework named GapDiff. The core idea of GapDiff is to utilize model-predicted conformations as ground truth probabilistically during training, aiming to mitigate the data distributional disparity between training and inference, thereby enhancing the affinity of generated molecules. We conduct experiments using a 3D molecular generation model on the CrossDocked2020 dataset, and the vina energy and diversity demonstrate the potency of our framework with superior affinity. GapDiff is available at \url{https://github.com/HUGHNew/gapdiff}., Comment: 14 pages, 5 figures
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- 2024
36. Path Planning in Complex Environments with Superquadrics and Voronoi-Based Orientation
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Yang, Lin, Iyer, Ganesh, Lou, Baichuan, Turlapati, Sri Harsha, Lv, Chen, and Campolo, Domenico
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Computer Science - Robotics - Abstract
Path planning in narrow passages is a challenging problem in various applications. Traditional planning algorithms often face challenges in complex environments like mazes and traps, where narrow entrances require special orientation control for successful navigation. In this work, we present a novel approach that combines superquadrics (SQ) representation and Voronoi diagrams to solve the narrow passage problem in both 2D and 3D environment. Our method utilizes the SQ formulation to expand obstacles, eliminating impassable passages, while Voronoi hyperplane ensures maximum clearance path. Additionally, the hyperplane provides a natural reference for robot orientation, aligning its long axis with the passage direction. We validate our framework through a 2D object retrieval task and 3D drone simulation, demonstrating that our approach outperforms classical planners and a cutting-edge drone planner by ensuring passable trajectories with maximum clearance.
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- 2024
37. Planning for quasi-static manipulation tasks via an intrinsic haptic metric
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Yang, Lin, Turlapati, Sri Harsha, Lv, Chen, and Campolo, Domenico
- Subjects
Computer Science - Robotics - Abstract
Contact-rich manipulation often requires strategic interactions with objects, such as pushing to accomplish specific tasks. We propose a novel scenario where a robot inserts a book into a crowded shelf by pushing aside neighboring books to create space before slotting the new book into place. Classical planning algorithms fail in this context due to limited space and their tendency to avoid contact. Additionally, they do not handle indirectly manipulable objects or consider force interactions. Our key contributions are: i) re-framing quasi-static manipulation as a planning problem on an implicit manifold derived from equilibrium conditions; ii) utilizing an intrinsic haptic metric instead of ad-hoc cost functions; and iii) proposing an adaptive algorithm that simultaneously updates robot states, object positions, contact points, and haptic distances. We evaluate our method on such crowded bookshelf insertion task but it is a general formulation to rigid bodies manipulation tasks. We propose proxies to capture contact point and force, with superellipse to represent objects. This simplified model guarantee the differentiablity. Our framework autonomously discovers strategic wedging-in policies while our simplified contact model achieves behavior similar to real world scenarios. We also vary the stiffness and initial positions to analysis our framework comprehensively. The video can be found at https://youtu.be/eab8umZ3AQ0.
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- 2024
38. Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning
- Author
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Liu, Tao, Yang, Wu, Xu, Chen, Lv, Jiguang, Wang, Huanran, Zhang, Yuhang, Xu, Shuchun, and Man, Dapeng
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Federated learning, a novel paradigm designed to protect data privacy, is vulnerable to backdoor attacks due to its distributed nature. Current research often designs attacks based on a single attacker with a single backdoor, overlooking more realistic and complex threats in federated learning. We propose a more practical threat model for federated learning: the distributed multi-target backdoor. In this model, multiple attackers control different clients, embedding various triggers and targeting different classes, collaboratively implanting backdoors into the global model via central aggregation. Empirical validation shows that existing methods struggle to maintain the effectiveness of multiple backdoors in the global model. Our key insight is that similar backdoor triggers cause parameter conflicts and injecting new backdoors disrupts gradient directions, significantly weakening some backdoors performance. To solve this, we propose a Distributed Multi-Target Backdoor Attack (DMBA), ensuring efficiency and persistence of backdoors from different malicious clients. To avoid parameter conflicts, we design a multi-channel dispersed frequency trigger strategy to maximize trigger differences. To mitigate gradient interference, we introduce backdoor replay in local training to neutralize conflicting gradients. Extensive validation shows that 30 rounds after the attack, Attack Success Rates of three different backdoors from various clients remain above 93%. The code will be made publicly available after the review period.
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- 2024
39. Automating Exploratory Proteomics Research via Language Models
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Ding, Ning, Qu, Shang, Xie, Linhai, Li, Yifei, Liu, Zaoqu, Zhang, Kaiyan, Xiong, Yibai, Zuo, Yuxin, Chen, Zhangren, Hua, Ermo, Lv, Xingtai, Sun, Youbang, Li, Yang, Li, Dong, He, Fuchu, and Zhou, Bowen
- Subjects
Computer Science - Artificial Intelligence ,Quantitative Biology - Quantitative Methods - Abstract
With the development of artificial intelligence, its contribution to science is evolving from simulating a complex problem to automating entire research processes and producing novel discoveries. Achieving this advancement requires both specialized general models grounded in real-world scientific data and iterative, exploratory frameworks that mirror human scientific methodologies. In this paper, we present PROTEUS, a fully automated system for scientific discovery from raw proteomics data. PROTEUS uses large language models (LLMs) to perform hierarchical planning, execute specialized bioinformatics tools, and iteratively refine analysis workflows to generate high-quality scientific hypotheses. The system takes proteomics datasets as input and produces a comprehensive set of research objectives, analysis results, and novel biological hypotheses without human intervention. We evaluated PROTEUS on 12 proteomics datasets collected from various biological samples (e.g. immune cells, tumors) and different sample types (single-cell and bulk), generating 191 scientific hypotheses. These were assessed using both automatic LLM-based scoring on 5 metrics and detailed reviews from human experts. Results demonstrate that PROTEUS consistently produces reliable, logically coherent results that align well with existing literature while also proposing novel, evaluable hypotheses. The system's flexible architecture facilitates seamless integration of diverse analysis tools and adaptation to different proteomics data types. By automating complex proteomics analysis workflows and hypothesis generation, PROTEUS has the potential to considerably accelerate the pace of scientific discovery in proteomics research, enabling researchers to efficiently explore large-scale datasets and uncover biological insights.
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- 2024
40. Transverse Bending Mimicry of Longitudinal Piezoelectricity
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Tan, Zhi, Lv, Xiang, Xing, Jie, Xie, Shaoxiong, Zhang, Hui, and Zhu, Jianguo
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Condensed Matter - Materials Science - Abstract
The origin of frequently observed ultrahigh electric-induced longitudinal strain, ranging from 1% to 26%, remains an open question. Recent evidence suggests that this phenomenon is linked to the bending deformation of samples, but the mechanisms driving this bending and the strong dependence of nominal strain on sample thickness have yet to be fully understood. Here, we demonstrate that the bending in piezoceramics can be induced by non-zero gradient of d31 acrcoss thickness direction. Our calculations show that in standard perovskite piezoceramics, such as KNbO3, a 0.69% concentration of oxygen vacancies results in a 6.3 pC/N change in d31 by inhibiting polarization rotation, which is sufficient to produce ultrahigh nominal strain in thin samples. The gradients of defect concentration, composition, and stress can all cause sufficient inhomogeneity in the distribution of d31, leading to the bending effect. We propose several approaches to distinguish true electric-induced strain from bending-induced effects. Our work provides clarity on the origin of nominal ultrahigh electricinduced strain and offers valuable insights for advancing piezoelectric materials.
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- 2024
41. Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
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Lv, Xingtai, Ding, Ning, Zhang, Kaiyan, Hua, Ermo, Cui, Ganqu, and Zhou, Bowen
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Improving the effectiveness and efficiency of large language models (LLMs) simultaneously is a critical yet challenging research goal. In this paper, we find that low-rank pre-training, normally considered as efficient methods that will compromise performance, can be scalably effective when reduced parameters are precisely targeted. Specifically, applying the low-dimensional module only to the attention layer -- resolves this issue and enhances both effectiveness and efficiency. We refer to this structure as Low-dimensional Projected Attention (LPA) and provide an explanatory analysis. Through extensive experimentation at parameter scales of 130M, 370M, and scaling up to 3B, we have validated the effectiveness and scalability of LPA. Our results show that LPA model can save up to 12.4% in time while achieving an approximate 5% improvement in test perplexity (ppl) and on downstream tasks compared with the vanilla Transformer., Comment: Accepted to EMNLP 2024 (Main Conference)
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- 2024
42. QCS:Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
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Wang, Chengpeng, Chen, Li, Wang, Lili, Li, Zhaofan, and Lv, Xuebin
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Computer Science - Computer Vision and Pattern Recognition - Abstract
On facial expression datasets with complex and numerous feature types, where the significance and dominance of labeled features are difficult to predict, facial expression recognition(FER) encounters the challenges of inter-class similarity and intra-class variances, making it difficult to mine effective features. We aim to solely leverage the feature similarity among facial samples to address this. We introduce the Cross Similarity Attention (CSA), an input-output position-sensitive attention mechanism that harnesses feature similarity across different images to compute the corresponding global spatial attention. Based on this, we propose a four-branch circular framework, called Quadruplet Cross Similarity (QCS), to extract discriminative features from the same class and eliminate redundant ones from different classes synchronously to refine cleaner features. The symmetry of the network ensures balanced and stable training and reduces the amount of CSA interaction matrix. Contrastive residual distillation is utilized to transfer the information learned in the cross module back to the base network. The cross-attention module exists during training, and only one base branch is retained during inference. our proposed QCS model outperforms state-of-the-art methods on several popular FER datasets, without requiring additional landmark information or other extra training data. The code is available at https://github.com/birdwcp/QCS.
- Published
- 2024
43. Observation of Majorana zero modes emerged from topological Dirac semimetal states under uniaxial strain
- Author
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Hu, Quanxin, Qin, Shengshan, Peng, Yi, Song, Yuke, Liu, Wenyao, Cheng, Yiwei, Zhang, Renjie, Hu, Yudong, Meng, Chengnuo, Huang, Yaobo, Li, Jin, Jin, Changqing, Lv, Baiqing, Xu, Jinpeng, and Ding, Hong
- Subjects
Condensed Matter - Superconductivity ,Condensed Matter - Strongly Correlated Electrons - Abstract
The topological properties observed in iron-based superconductors extend our understanding of vortex Majorana quasiparticle excitations in unexpected ways. Vortex Majorana physics has been extensively studied within the context of the topologically protected surface Dirac state. By employing an in-situ strain device, we demonstrate that uniaxial strain can generate Majorana zero modes out of the topological Dirac semimetal bulk state in LiFeAs. Uniaxial strain along [100] direction is found to enhance the band renormalization of LiFeAs, effectively reducing the energy separation between the Fermi level and the topological Dirac semimetal state, and breaking C4 symmetry. Using scanning tunneling microscopy, we observe the evolution of vortex bound states in the topological Dirac semimetal state region, accompanied by the emergence of Majorana zero modes and vortex bound states contributed by the bulk band. Our work provides a controllable method for experimentally engineering Majorana physics in iron-based superconductors, and offers valuable insights into the topological Dirac semimetal state with intrinsic s-wave superconductivity., Comment: 17 pages, 4 figures
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- 2024
44. LumosCore: Highly Scalable LLM Clusters with Optical Interconnect
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Han, Xinchi, Zhao, Shizhen, Lv, Yongxi, Cao, Peirui, Jiang, Weihao, Lin, Shengkai, and Wang, Xinbing
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Computer Science - Networking and Internet Architecture - Abstract
The emergence of Large Language Model(LLM) technologies has led to a rapidly growing demand for compute resources in models. In response, the enterprises are building large-scale multi-tenant GPU clusters with 10k or even ore GPUs. In contrast to the rapidly growing cluster size, the bandwidth of clusters has also been increasing to meet communication demands, with 800 Gbps optical modules already in practical use and 1.6 Tbps modules on the horizon. However, designing clusters that simultaneously meet the requirements of large scale and high bandwidth is challenging due to the limited capacity of electrical switch chips. Unlike electrical switch chips, the single-port bandwidth of MEMS-OCS is solely determined by the optical module, making it straightforward to achieve both bandwidth and scability requirement. In this paper, we propose an opto-electronic hybrid architecture called \textbf{LumosCore}. We address the issues of L2 protocols incompatibility potential network contention and algorithm time complexity through physical topology and logical topology design. Additionally, we design a polynomial-time complexity link reconfiguration algorithm to reconfigure MEMS-OCS with minimal time overhead. We validate the feasibility of the proposed scheme in a cluster consisting of 128 NPUs, and through simulation based on real traces, we demonstrate the superiority of \textbf{LumosCore} over traditional architectures.
- Published
- 2024
45. Optimal Control of Discrete-Time Nonlinear Systems
- Author
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Lv, Chuanzhi, Yin, Xunmin, Li, Hongdan, and Zhang, Huanshui
- Subjects
Mathematics - Optimization and Control - Abstract
This paper focuses on optimal control problem for a class of discrete-time nonlinear systems. In practical applications, computation time is a crucial consideration in solving optimal control problem, especially when meeting the real-time requirements of control systems. To address this challenge, this study proposes a novel framework based on the optimal control method. Firstly, the original optimal control problem is transformed into an equivalent optimization problem, which is resolved using the Pontryagin's maximum principle from the perspective of optimal control. Furthermore, explicit formulas for computing both the gradient and hessian matrix of the cost function are proposed. A numerical algorithm with rapid convergence and high efficiency is also provided.
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- 2024
46. Detection of two TeV gamma-ray outbursts from NGC 1275 by LHAASO
- Author
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Cao, Zhen, Aharonian, F., Axikegu, Bai, Y. X., Bao, Y. W., Bastieri, D., Bi, X. J., Bi, Y. J., Cai, J. T., Cao, Q., Cao, W. Y., Cao, Zhe, Chang, J., Chang, J. F., Chen, A. M., Chen, E. S., Chen, Liang, Chen, Lin, Chen, Long, Chen, M. J., Chen, M. L., Chen, Q. H., Chen, S. H., Chen, S. Z., Chen, T. L., Chen, Y., Cheng, N., Cheng, Y. D., Cui, M. Y., Cui, S. W., Cui, X. H., Cui, Y. D., Dai, B. Z., Dai, H. L., Dai, Z. G., Danzengluobu, della Volpe, D., Dong, X. Q., Duan, K. K., Fan, J. H., Fan, Y. Z., Fang, J., Fang, K., Feng, C. F., Feng, L., Feng, S. H., Feng, X. T., Feng, Y. L., Gabici, S., Gao, B., Gao, C. D., Gao, L. Q., Gao, Q., Gao, W., Gao, W. K., Ge, M. M., Geng, L. S., Giacinti, G., Gong, G. H., Gou, Q. B., Gu, M. H., Guo, F. L., Guo, X. L., Guo, Y. Q., Guo, Y. Y., Han, Y. A., He, H. H., He, H. N., He, J. Y., He, X. B., He, Y., Heller, M., Hor, Y. K., Hou, B. W., Hou, C., Hou, X., Hu, H. B., Hu, Q., Hu, S. C., Huang, D. H., Huang, T. Q., Huang, W. J., Huang, X. T., Huang, X. Y., Huang, Y., Huang, Z. C., Ji, X. L., Jia, H. Y., Jia, K., Jiang, K., Jiang, X. W., Jiang, Z. J., Jin, M., Kang, M. M., Ke, T., Kuleshov, D., Kurinov, K., Li, B. B., Li, Cheng, Li, Cong, Li, D., Li, F., Li, H. B., Li, H. C., Li, H. Y., Li, J., Li, Jian, Li, Jie, Li, K., Li, W. L., Li, X. R., Li, Xin, Li, Y. Z., Li, Zhe, Li, Zhuo, Liang, E. W., Liang, Y. F., Lin, S. J., Liu, B., Liu, C., Liu, D., Liu, H., Liu, H. D., Liu, J., Liu, J. L., Liu, J. Y., Liu, M. Y., Liu, R. Y., Liu, S. M., Liu, W., Liu, Y., Liu, Y. N., Lu, R., Luo, Q., Lv, H. K., Ma, B. Q., Ma, L. L., Ma, X. H., Mao, J. R., Min, Z., Mitthumsiri, W., Mu, H. J., Nan, Y. C., Neronov, A., Ou, Z. W., Pang, B. Y., Pattarakijwanich, P., Pei, Z. Y., Qi, M. Y., Qi, Y. Q., Qiao, B. Q., Qin, J. J., Ruffolo, D., Sáiz, A., Semikoz, D., Shao, C. Y., Shao, L., Shchegolev, O., Sheng, X. D., Shu, F. W., Song, H. C., Stenkin, Yu. V., Stepanov, V., Su, Y., Sun, Q. N., Sun, X. N., Sun, Z. B., Tam, P. H. T., Tang, Q. W., Tang, Z. B., Tian, W. W., Wang, C., Wang, C. B., Wang, G. W., Wang, H. G., Wang, H. H., Wang, J. C., Wang, K., Wang, L. P., Wang, L. Y., Wang, P. H., Wang, R., Wang, W., Wang, X. G., Wang, X. Y., Wang, Y., Wang, Y. D., Wang, Y. J., Wang, Z. H., Wang, Z. X., Wang, Zhen, Wang, Zheng, Wei, D. M., Wei, J. J., Wei, Y. J., Wen, T., Wu, C. Y., Wu, H. R., Wu, S., Wu, X. F., Wu, Y. S., Xi, S. Q., Xia, J., Xia, J. J., Xiang, G. M., Xiao, D. X., Xiao, G., Xin, G. G., Xin, Y. L., Xing, Y., Xiong, Z., Xu, D. L., Xu, R. F., Xu, R. X., Xu, W. L., Xue, L., Yan, D. H., Yan, J. Z., Yan, T., Yang, C. W., Yang, F., Yang, F. F., Yang, H. W., Yang, J. Y., Yang, L. L., Yang, M. J., Yang, R. Z., Yang, S. B., Yao, Y. H., Yao, Z. G., Ye, Y. M., Yin, L. Q., Yin, N., You, X. H., You, Z. Y., Yu, Y. H., Yuan, Q., Yue, H., Zeng, H. D., Zeng, T. X., Zeng, W., Zha, M., Zhang, B. B., Zhang, F., Zhang, H. M., Zhang, H. Y., Zhang, J. L., Zhang, L. X., Zhang, Li, Zhang, P. F., Zhang, P. P., Zhang, R., Zhang, S. B., Zhang, S. R., Zhang, S. S., Zhang, X., Zhang, X. P., Zhang, Y. F., Zhang, Yi, Zhang, Yong, Zhao, B., Zhao, J., Zhao, L., Zhao, L. Z., Zhao, S. P., Zheng, F., Zhou, B., Zhou, H., Zhou, J. N., Zhou, M., Zhou, P., Zhou, R., Zhou, X. X., Zhu, C. G., Zhu, F. R., Zhu, H., Zhu, K. J., and Zuo., X.
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
The Water Cherenkov Detector Array (WCDA) is one of the components of Large High Altitude Air Shower Observatory (LHAASO) and can monitor any sources over two-thirds of the sky for up to 7 hours per day with >98\% duty cycle. In this work, we report the detection of two outbursts of the Fanaroff-Riley I radio galaxy NGC 1275 that were detected by LHAASO-WCDA between November 2022 and January 2023 with statistical significance of 5.2~$\sigma$ and 8.3~$\sigma$. The observed spectral energy distribution in the range from 500 GeV to 3 TeV is fitted by a power-law with a best-fit spectral index of $\alpha=-3.37\pm0.52$ and $-3.35\pm0.29$, respectively. The outburst flux above 0.5~TeV was ($4.55\pm 4.21)\times~10^{-11}~\rm cm^{-2}~s^{-1}$ and ($3.45\pm 1.78)\times~10^{-11}~\rm cm^{-2}~s^{-1}$, corresponding to 60\%, 45\% of Crab Nebula flux. Variation analysis reveals the variability time-scale of days at the TeV energy band. A simple test by one-zone synchrotron self-Compton model reproduces the data in the gamma-ray band well., Comment: 11 pages, 8 figures, 3 tables
- Published
- 2024
47. Quantum Sensing of Broadband Spin Dynamics and Magnon Transport in Antiferromagnets
- Author
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Melendez, Alex Lee, Das, Shekhar, Rodriguez, Francisco Ayala, Kao, I-Hsuan, Liu, Wenhao, Williams, Archibald J., Lv, Bing, Goldberger, Joshua, Chatterjee, Shubhayu, Singh, Simranjeet, and Hammel, P. Chris
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Optical detection of magnetic resonance using quantum spin sensors (QSS) provides a spatially local and sensitive technique to probe spin dynamics in magnets. However, its utility as a probe of antiferromagnetic resonance (AFMR), wherein the characteristic resonant frequencies substantially exceed the QSS probing frequency, remains an open question. Here, using the nitrogen-vacancy center in diamond as a QSS, we report the first experimental demonstration of optically detected AFMR in layered van der Waals antiferromagnets up to frequencies of 24 GHz, significantly higher than the sensor's spin resonance frequency of 2.87 GHz. To achieve this, we leverage the enhancement of the QSS spin relaxation rate due to low-frequency magnetic field fluctuations that arise from collective late-time dynamics of finite-wavevector magnons excited by the driven uniform AFMR mode. Using optically detected AFMR, we first characterize the temperature and magnetic field dependence on the AFMR modes, which shed light on the intrinsic exchange fields and magnetic anisotropies. Second, we exploit the highly localized sensitivity of the QSS to demonstrate efficient magnon transport over tens of micrometers. Finally, we find that optical detection efficiency in fact increases with increasing frequency, enabling broadband detection of magnetization dynamics. Our work showcases the dual capabilities of QSS as detectors of both high frequency magnetization dynamics and magnon transport, paving the way for understanding and controlling magnetism in Neel states in antiferromagnets.
- Published
- 2024
48. Multi-Programming Language Sandbox for LLMs
- Author
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Dou, Shihan, Zhang, Jiazheng, Zang, Jianxiang, Tao, Yunbo, Zhou, Weikang, Jia, Haoxiang, Liu, Shichun, Yang, Yuming, Xi, Zhiheng, Wu, Shenxi, Zhang, Shaoqing, Wu, Muling, Lv, Changze, Xiong, Limao, Zhan, Wenyu, Zhang, Lin, Weng, Rongxiang, Wang, Jingang, Cai, Xunliang, Wu, Yueming, Wen, Ming, Zheng, Rui, Ji, Tao, Cao, Yixin, Gui, Tao, Qiu, Xipeng, Zhang, Qi, and Huang, Xuanjing
- Subjects
Computer Science - Software Engineering ,Computer Science - Computation and Language - Abstract
We introduce MPLSandbox, an out-of-the-box multi-programming language sandbox designed to provide unified and comprehensive feedback from compiler and analysis tools for Large Language Models (LLMs). It can automatically identify the programming language of the code, compiling and executing it within an isolated sub-sandbox to ensure safety and stability. In addition, MPLSandbox also integrates both traditional and LLM-based code analysis tools, providing a comprehensive analysis of generated code. MPLSandbox can be effortlessly integrated into the training and deployment of LLMs to improve the quality and correctness of their generated code. It also helps researchers streamline their workflows for various LLM-based code-related tasks, reducing the development cost. To validate the effectiveness of MPLSandbox, we integrate it into training and deployment approaches, and also employ it to optimize workflows for a wide range of real-world code-related tasks. Our goal is to enhance researcher productivity on LLM-based code-related tasks by simplifying and automating workflows through delegation to MPLSandbox., Comment: 25 pages, 14 figures
- Published
- 2024
49. Bounding the parameter $\beta$ of a distance-regular graph with classical parameters
- Author
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Lv, Chenhui and Koolen, Jack H.
- Subjects
Mathematics - Combinatorics - Abstract
Let $\Gamma$ be a distance-regular graph with classical parameters $(D, b, \alpha, \beta)$ satisfying $b\geq 2$ and $D\geq 3$. Let $r=1+b+b^2+\cdots+b^{D-1}$. In 1999, K. Metsch showed that there exists a positive constant $C(\alpha,b)$ only depending on $\alpha$ and $b$, such that if $\beta \geq C(\alpha, b)r^2$, then either $\Gamma$ is a Grassmann graph or a bilinear forms graph. In this work, we show that for $b\geq 2$ and $D\geq 3$, then there exists a constant $C_1(\alpha, b)$ only depending on $\alpha$ and $b$, such that if $\beta \geq C_1(\alpha, b)r$, then either $\Gamma$ is a Grassmann graph, a bilinear forms graph, or a geometric distance-regular graph whose local graphs are the $\alpha$-clique extensions of a $\frac{\beta}{\alpha} \times r$-grid.
- Published
- 2024
50. Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
- Author
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Huang, Youcheng, Zhu, Fengbin, Tang, Jingkun, Zhou, Pan, Lei, Wenqiang, Lv, Jiancheng, and Chua, Tat-Seng
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computation and Language ,Computer Science - Cryptography and Security - Abstract
Visual Language Models (VLMs) are vulnerable to adversarial attacks, especially those from adversarial images, which is however under-explored in literature. To facilitate research on this critical safety problem, we first construct a new laRge-scale Adervsarial images dataset with Diverse hArmful Responses (RADAR), given that existing datasets are either small-scale or only contain limited types of harmful responses. With the new RADAR dataset, we further develop a novel and effective iN-time Embedding-based AdveRSarial Image DEtection (NEARSIDE) method, which exploits a single vector that distilled from the hidden states of VLMs, which we call the attacking direction, to achieve the detection of adversarial images against benign ones in the input. Extensive experiments with two victim VLMs, LLaVA and MiniGPT-4, well demonstrate the effectiveness, efficiency, and cross-model transferrability of our proposed method. Our code is available at https://github.com/mob-scu/RADAR-NEARSIDE
- Published
- 2024
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