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Faktor-Faktor yang Mempengaruhi Minat Beli Smartphone LG G7 Thinq Pada Fans BTS di Jakarta Barat

Brilliani Brilliani, Suherman Kusniadji, Lusia Savitri Setyo Utami
2019 Koneksi  
Metode penelitian yang digunakan adalah metode kuantitatif dengan jenis metode survei.  ...  Teori yang dibahas dalam penelitian ini adalah komunikasi pemasaran, sales promotion, brand ambassador dan minat beli.  ...  Dengan hasil ini dapat disimpulkan bahwa mayoritas fans BTS merupakan kategori anak muda yang berusia antara 12-25 tahun.  ... 
doi:10.24912/kn.v2i2.3891 fatcat:3sjivcfv3bbcpbeytfogwdsmvy

Lee–Yang zeros in the age of Rydberg atoms [article]

Chengshu Li, Fan Yang
2022 arXiv   pre-print
Lee--Yang (LY) zeros play a fundamental role in the formulation of statistical physics in terms of (grand) partition functions, and assume theoretical significance for the phenomenon of phase transitions  ...  The original construction of Lee and Yang focused on spin-1/2 Ising ferromagnets, or equivalently attractive lattice gases.  ...  However, it wasn't until the work of Lee and Yang [1, 2] when a more detailed description of the relation between the analyticity of partition functions and phase transitions was put forward.  ... 
arXiv:2203.16128v1 fatcat:flj5dqzqizfhlm6ife4chzff5m

Thermal Probing Techniques for a Single Live Cell

Nana Yang, Jingjing Xu, Fan Wang, Fan Yang, Danhong Han, Shengyong Xu
2022 Sensors  
Yang et al. discovered a way to reduce the influence of environmental thermal noise by 4.8 times [21] .  ...  Yang et al. designed a large cylindroid tube containing a large volume of culture medium in order to observe and record the morphology and temperature of individual cells under stable, constant environmental  ... 
doi:10.3390/s22145093 pmid:35890773 pmcid:PMC9317922 fatcat:evh2ffnd5bcrdb3wkoumqis5se

Approximate quantum state reconstruction without a quantum channel [article]

Zichen Yang, Ze-Yang Fan, Liang-Zhu Mu, Heng Fan
2017 arXiv   pre-print
We investigate the optimal quantum state reconstruction from cloud to many spatially separated users by measure-broadcast-prepare scheme without the availability of quantum channel. The quantum state equally distributed from cloud to arbitrary number of users is generated at each port by ensemble of known quantum states with assistance of classical information of measurement outcomes by broadcasting. The obtained quantum state for each user is optimal in the sense that the fidelity universally
more » ... chieves the upper bound. We present the universal quantum state distribution by providing physical realizable measurement bases in the cloud as well as the reconstruction method for each user. The quantum state reconstruction scheme works for arbitrary many identical pure input states in general dimensional system.
arXiv:1710.02296v1 fatcat:z5l2yptgmnh3fkil7gvaaa3rt4

Flavonoids—Natural Gifts to Promote Health and Longevity

Xiaolan Fan, Ziqiang Fan, Ziyue Yang, Tiantian Huang, Yingdong Tong, Deying Yang, Xueping Mao, Mingyao Yang
2022 International Journal of Molecular Sciences  
The aging of mammals is accompanied by the progressive atrophy of tissues and organs and the accumulation of random damage to macromolecular DNA, protein, and lipids. Flavonoids have excellent antioxidant, anti-inflammatory, and neuroprotective effects. Recent studies have shown that flavonoids can delay aging and prolong a healthy lifespan by eliminating senescent cells, inhibiting senescence-related secretion phenotypes (SASPs), and maintaining metabolic homeostasis. However, only a few
more » ... atic studies have described flavonoids in clinical treatment for anti-aging, which needs to be explored further. This review first highlights the association between aging and macromolecular damage. Then, we discuss advances in the role of flavonoid molecules in prolonging the health span and lifespan of organisms. This study may provide crucial information for drug design and developmental and clinical applications based on flavonoids.
doi:10.3390/ijms23042176 pmid:35216290 pmcid:PMC8879655 fatcat:q2zulhi26vgqplngujzbxoseda

Learning to Teach [article]

Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2018 arXiv   pre-print
Teaching plays a very important role in our society, by spreading human knowledge and educating our next generations. A good teacher will select appropriate teaching materials, impact suitable methodologies, and set up targeted examinations, according to the learning behaviors of the students. In the field of artificial intelligence, however, one has not fully explored the role of teaching, and pays most attention to machine learning. In this paper, we argue that equal attention, if not more,
more » ... ould be paid to teaching, and furthermore, an optimization framework (instead of heuristics) should be used to obtain good teaching strategies. We call this approach 'learning to teach'. In the approach, two intelligent agents interact with each other: a student model (which corresponds to the learner in traditional machine learning algorithms), and a teacher model (which determines the appropriate data, loss function, and hypothesis space to facilitate the training of the student model). The teacher model leverages the feedback from the student model to optimize its own teaching strategies by means of reinforcement learning, so as to achieve teacher-student co-evolution. To demonstrate the practical value of our proposed approach, we take the training of deep neural networks (DNN) as an example, and show that by using the learning to teach techniques, we are able to use much less training data and fewer iterations to achieve almost the same accuracy for different kinds of DNN models (e.g., multi-layer perceptron, convolutional neural networks and recurrent neural networks) under various machine learning tasks (e.g., image classification and text understanding).
arXiv:1805.03643v1 fatcat:vxf6so2j4bhazmgcfqiarilxk4

Incorporating Sememes into Chinese Definition Modeling [article]

Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang
2019 arXiv   pre-print
Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Definition Modeling Corpus (CDM), which contains triples of word, sememes and the corresponding definition. We present two novel models to improve Chinese definition modeling: the Adaptive-Attention model (AAM) and the Self- and Adaptive-Attention Model (SAAM). AAM successfully incorporates sememes for generating the
more » ... ition with an adaptive attention mechanism. It has the capability to decide which sememes to focus on and when to pay attention to sememes. SAAM further replaces recurrent connections in AAM with self-attention and relies entirely on the attention mechanism, reducing the path length between word, sememes and definition. Experiments on CDM demonstrate that by incorporating sememes, our best proposed model can outperform the state-of-the-art method by +6.0 BLEU.
arXiv:1905.06512v1 fatcat:dyisrj6fcvdidomgrok7r5tesu

Impacts of Winter and Summer COVID-19 Lockdowns on Urban Air Quality in Urumqi, Northwest China

Ali Mamtimin, Ali Mamtimin, Ali Mamtimin, Ali Mamtimin, Yu Wang, Yu Wang, Yu Wang, Yu Wang, Tianliang Zhao, Hajigul Sayit, Fan Yang, Fan Yang (+14 others)
2022 Frontiers in Environmental Science  
After the COVID-19 pandemic began in 2020, Urumqi, a remote area in northwest China, experienced two lockdowns, in January and July 2020. Based on ground and satellite observations, this study assessed the impacts of these lockdowns on the air quality in Urumqi and the seasonal differences between them. The results showed that, during the wintertime lockdown, PM10, PM2.5, NO2, CO, and SO2 levels decreased by 38, 40, 45, 27, 8%, respectively, whereas O3 concentrations increased by 113%. During
more » ... e summer lockdown, PM10, PM2.5, NO2, CO, and SO2 levels decreased by 39, 24, 59, 2, and 13%, respectively, and the O3 concentrations increased by 21%. During the lockdowns, the NO2 concentrations decreased by 53% in winter and 13% in summer in the urban areas, whereas they increased by 23% in winter and 9% in summer in the suburbs. Moreover, large seasonal differences were observed between winter and summer SO2, CO, and O3. The lockdown played a vital role in the rapid decline of primary air pollutant concentrations, along with fewer meteorological impacts on air pollution changes in this area. The increase in O3 concentrations during the COVID-19 lockdowns reflects the complexity of air quality changes during reductions in air pollutant emissions.
doi:10.3389/fenvs.2022.910579 doaj:363b1b60d67345ccb814117271128e09 fatcat:swcxsfov3za5faqzwhc4ehpf2q

Secondary fans and tropical Severi varieties

Jihyeon Jessie Yang
2015 Manuscripta mathematica  
This article studies the relationship between tropical Severi varieties and secondary fans.  ...  The first theorem finds a simple condition under which a tropical Severi variety cannot be a subfan of the corresponding secondary fan.  ...  (Recall that we consider the secondary fan to be in R 9 /R · 1.) Therefore, Trop(Sev(Q, δ)) is not supported on the secondary fan of A. (2) b < 2a, (3) 2. 1 . 1 Secondary Fan.  ... 
doi:10.1007/s00229-015-0773-3 fatcat:ms5ksuiz3bfo3gf3x2u5lccy6a

Discovery and characterization of naturally occurring potent inhibitors of catechol-O-methyltransferase from herbal medicines

Dong-Fang Zhao, Yu-Fan Fan, Fang-Yuan Wang, Fan-Bin Hou, Frank J. Gonzalez, Shi-Yang Li, Ping Wang, Yang-Liu Xia, Guang-Bo Ge, Ling Yang
2021 RSC Advances  
Discovery and characterization of natural human catechol-O-methyltransferase (hCOMT) inhibitors for Parkinson's disease treatment.
doi:10.1039/d0ra10425f pmid:35423513 pmcid:PMC8695704 fatcat:ugisfsjagbgkvgqxb4tdefgoki

Research on sEMG Based gesture recognition by dual-view deep learning

Yan Zhang, Fan Yang, Qi Fan, Anjie Yang, Xuan Li
2022 IEEE Access  
In the field of human-machine interaction, gesture recognition using sparse multichannel surface electromyography (sEMG) remains a challenge. Based on the Hilbert filling curve, a dual-view multi-scale convolutional neural network (DVMSCNN) is designed to enhance gesture recognition performance in this paper. The network consists of two parts. In the first part, sEMG is filled using Hilbert filling curve, and the obtained images in the time and electrode domain are used as inputs to the block.
more » ... n the second part, the depth features learned by block are fused and classified by a "layer fusion" based view aggregation network. The evaluation of the architecture in the four databases of Ninapro-DB1, DB2, DB3 and DB4 shows that DVMSCNN is more than 7% more accurate than other state-of-the-art methods. When validated using a home-grown dataset, DVMSCNN was able to achieve a recognition rate of 0.8848.
doi:10.1109/access.2022.3158667 fatcat:c7nqevycznetjpqn6edrls4pju

Flexibility of planar graphs without C_4 and C_5 [article]

Donglei Yang, Fan Yang
2020 arXiv   pre-print
Let G be a {C_4, C_5}-free planar graph with a list assignment L. Suppose a preferred color is given for some of the vertices. We prove that if all lists have size at least four, then there exists an L-coloring respecting at least a constant fraction of the preferences.
arXiv:2006.05243v1 fatcat:ydjaigeitjekhhxnu6uhkgzcea

Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification [article]

Jianqing Fan, Yang Feng, Jiancheng Jiang, Xin Tong
2015 arXiv   pre-print
Risk bounds are developed for FANS. In numerical analysis, FANS is compared with competing methods, so as to provide a guideline on its best application domain.  ...  Moreover, FANS is implemented by an extremely fast algorithm through parallel computing.  ...  Following Dudoit et al. (2002), Fan and Fan (2008), and Fan et al. (2012), we standardized each sample to zero mean and unit variance.  ... 
arXiv:1401.0211v2 fatcat:xnayw33tezciznmojvg4zkbwem

Discovery and identification of potential biomarkers of papillary thyroid carcinoma

Yuxia Fan, Linan Shi, Qiuliang Liu, Rui Dong, Qian Zhang, Shaobo Yang, Yingzhong Fan, Heying Yang, Peng Wu, Jiekai Yu, Shu Zheng, Fuquan Yang (+1 others)
2009 Molecular Cancer  
Thyroid carcinoma is the most common endocrine malignancy and a common cancer among the malignancies of head and neck. Noninvasive and convenient biomarkers for diagnosis of papillary thyroid carcinoma (PTC) as early as possible remain an urgent need. The aim of this study was to discover and identify potential protein biomarkers for PTC specifically. Methods: Two hundred and twenty four (224) serum samples with 108 PTC and 116 controls were randomly divided into a training set and a blind
more » ... ng set. Serum proteomic profiles were analyzed using SELDI-TOF-MS. Candidate biomarkers were purified by HPLC, identified by LC-MS/ MS and validated using ProteinChip immunoassays. Results: A total of 3 peaks (m/z with 9190, 6631 and 8697 Da) were screened out by support vector machine (SVM) to construct the classification model with high discriminatory power in the training set. The sensitivity and specificity of the model were 95.15% and 93.97% respectively in the blind testing set. The candidate biomarker with m/z of 9190 Da was found to be up-regulated in PTC patients, and was identified as haptoglobin alpha-1 chain. Another two candidate biomarkers (6631, 8697 Da) were found down-regulated in PTC and identified as apolipoprotein C-I and apolipoprotein C-III, respectively. In addition, the level of haptoglobin alpha-1 chain (9190 Da) progressively increased with the clinical stage I, II, III and IV, and the expression of apolipoprotein C-I and apolipoprotein C-III (6631, 8697 Da) gradually decreased in higher stages. Conclusion: We have identified a set of biomarkers that could discriminate PTC from non-cancer controls. An efficient strategy, including SELDI-TOF-MS analysis, HPLC purification, MALDI-TOF-MS trace and LC-MS/MS identification, has been proved successful.
doi:10.1186/1476-4598-8-79 pmid:19785722 pmcid:PMC2761863 fatcat:2sxlmy6m35hlrcojahbcb7nx7a

Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach [article]

Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
2022 arXiv   pre-print
Rule sets are highly interpretable logical models in which the predicates for decision are expressed in disjunctive normal form (DNF, OR-of-ANDs), or, equivalently, the overall model comprises an unordered collection of if-then decision rules. In this paper, we consider a submodular optimization based approach for learning rule sets. The learning problem is framed as a subset selection task in which a subset of all possible rules needs to be selected to form an accurate and interpretable rule
more » ... t. We employ an objective function that exhibits submodularity and thus is amenable to submodular optimization techniques. To overcome the difficulty arose from dealing with the exponential-sized ground set of rules, the subproblem of searching a rule is casted as another subset selection task that asks for a subset of features. We show it is possible to write the induced objective function for the subproblem as a difference of two submodular (DS) functions to make it approximately solvable by DS optimization algorithms. Overall, the proposed approach is simple, scalable, and likely to be benefited from further research on submodular optimization. Experiments on real datasets demonstrate the effectiveness of our method.
arXiv:2206.03718v1 fatcat:uujlg7g3u5exzgl7f6wpod2eym
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