#linfang

[gamekai]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[cryptoguys657]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[762175]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[cryptoking009]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[gamegill]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[cryptosecrets]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[hostor-infotech]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[rnewspost]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[mubashirnews]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[arun-pratap-singh]

In China’s Covid Fog, Deaths of Scholars Offer a Clue

Wang Linfang,92, molecular biologist Four members of China’s two most prestigious academic institutions died in October – in line with the average in recent years. These are some of the country’s most decorated scientists. The academies publish obituaries to memorialize their contributions. Xie Sishen, 80, physicist specializing in nanotechnologies   Wang Wencai, 96, world-renowned plant…

[drmikewatts]

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 11, November 2024

1) Energy Scheduling Optimization for Microgrids Based on Partially Observable Markov Game

Author(s): Jiakai Gong, Nuo Yu, Fen Han, Bin Tang, Haolong Wu, Yuan Ge

Pages: 5371 - 5380

2) Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework

Author(s): Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, D. Nagarajan

Pages: 5381 - 5391

3) 360° High-Resolution Depth Estimation via Uncertainty-Aware Structural Knowledge Transfer

Author(s): Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang

Pages: 5392 - 5402

4) SSpose: Self-Supervised Spatial-Aware Model for Human Pose Estimation

Author(s): Linfang Yu, Zhen Qin, Liqun Xu, Zhiguang Qin, Kim-Kwang Raymond Choo

Pages: 5403 - 5417

5) CrackLens: Automated Sidewalk Crack Detection and Segmentation

Author(s): Chan Young Koh, Mohamed Ali, Abdeltawab Hendawi

Pages: 5418 - 5430

6) Alternating Excitation–Inhibition Dendritic Computing for Classification

Author(s): Jiayi Li, Zhenyu Lei, Zhiming Zhang, Haotian Li, Yuki Todo, Shangce Gao

Pages: 5431 - 5441

7) Differentiation of Benign and Malignant Masses in Mammogram Using 2D-Fourier–Bessel Intrinsic Band Functions and Improved Feature Space

Author(s): Pradeep Kumar Chaudhary, Ram Bilas Pachori

Pages: 5442 - 5451

8) Optimal Trajectory-Based Control of 3-D Dual Rotary Cranes for Payload Dynamic Regulation in Complex Environments

Author(s): Zhuoqing Liu, Tong Yang, Yongchun Fang, Ning Sun

Pages: 5452 - 5464

9) Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks

Author(s): Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang

Pages: 5465 - 5477

10) Communication-Efficient Federated Learning for Decision Trees

Author(s): Shuo Zhao, Zikun Zhu, Xin Li, Ying-Chi Chen

Pages: 5478 - 5492

11) Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning

Author(s): Rui Wang, Wei Liu, Kaiwen Li, Tao Zhang, Ling Wang, Xin Xu

Pages: 5493 - 5508

12) Tailor-Made Reinforcement Learning Approach With Advanced Noise Optimization for Soft Continuum Robots

Author(s): Jino Jayan, Lal Priya P.S., Hari Kumar R.

Pages: 5509 - 5518

13) Exploring Weight Distributions and Dependence in Neural Networks With α-Stable Distributions

Author(s): Jipeng Li, Xueqiong Yuan, Ercan Engin Kuruoglu

Pages: 5519 - 5529

14) Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning

Author(s): Zijian Gao, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

Pages: 5530 - 5539

15) Cross-View Masked Model for Self-Supervised Graph Representation Learning

Author(s): Haoran Duan, Beibei Yu, Cheng Xie

Pages: 5540 - 5552

16) Epileptic Seizure Prediction Using Stacked CNN-BiLSTM: A Novel Approach

Author(s): Zeenat Firdosh Quadri, M. Saqib Akhoon, Sajad A. Loan

Pages: 5553 - 5560

17) A Novel Incentive Mechanism for Federated Learning Over Wireless Communications

Author(s): Yong Wang, Yu Zhou, Pei-Qiu Huang

Pages: 5561 - 5574

18) Social NSTransformers: Low-Quality Pedestrian Trajectory Prediction

Author(s): Zihan Jiang, Yiqun Ma, Bingyu Shi, Xin Lu, Jian Xing, Nuno Gonçalves, Bo Jin

Pages: 5575 - 5588

19) A Study of Enhancing Federated Learning on Non-IID Data With Server Learning

Author(s): Van Sy Mai, Richard J. La, Tao Zhang

Pages: 5589 - 5604

20) A Reliable Clinical Decision Support System for Posttraumatic Stress Disorder Using Functional Magnetic Resonance Imaging Data

Author(s): J. Bhattacharya, A. Gupta, M. N. Dretsch, T. S. Denney, G. Deshpande

Pages: 5605 - 5615

21) CycleGAN*: Collaborative AI Learning With Improved Adversarial Neural Networks for Multimodalities Data

Author(s): Yibo He, Kah Phooi Seng, Li Minn Ang

Pages: 5616 - 5629

22) Evaluating Negative Sampling Approaches for Neural Topic Models

Author(s): Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, Partha Pratim Das

Pages: 5630 - 5642

23) Automated Bundle Branch Block Detection Using Multivariate Fourier–Bessel Series Expansion-Based Empirical Wavelet Transform

Author(s): Sibghatullah Inayatullah Khan, Ram Bilas Pachori

Pages: 5643 - 5654

24) Deep Learning Security Breach by Evolutionary Universal Perturbation Attack (EUPA)

Author(s): Neeraj Gupta, Mahdi Khosravy, Antoine Pasquali, Olaf Witkowski

Pages: 5655 - 5665

25) StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification

Author(s): Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, Li Chen

Pages: 5666 - 5675

26) Lightweight Parallel Convolutional Neural Network With SVM Classifier for Satellite Imagery Classification

Author(s): Priyanti Paul Tumpa, Md. Saiful Islam

Pages: 5676 - 5688

27) Collision-Free Grasp Detection From Color and Depth Images

Author(s): Dinh-Cuong Hoang, Anh-Nhat Nguyen, Chi-Minh Nguyen, An-Binh Phi, Quang-Tri Duong, Khanh-Duong Tran, Viet-Anh Trinh, Van-Duc Tran, Hai-Nam Pham, Phuc-Quan Ngo, Duy-Quang Vu, Thu-Uyen Nguyen, Van-Duc Vu, Duc-Thanh Tran, Van-Thiep Nguyen

Pages: 5689 - 5698

28) Weighted Concept Factorization Based Incomplete Multi-view Clustering

Author(s): Ghufran Ahmad Khan, Jalaluddin Khan, Taushif Anwar, Zubair Ashraf, Mohammad Hafeez Javed, Bassoma Diallo

Pages: 5699 - 5708

29) Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviors for ASD Identification

Author(s): Ashwini B., Deeptanshu, Sheffali Gulati, Jainendra Shukla

Pages: 5709 - 5719

30) Learning Robust Global-Local Representation From EEG for Neural Epilepsy Detection

Author(s): Xinliang Zhou, Chenyu Liu, Ruizhi Yang, Liangwei Zhang, Liming Zhai, Ziyu Jia, Yang Liu

Pages: 5720 - 5732

31) A Deep Learning-Based Method for Crowd Counting Using Shunting Inhibition Mechanism

Author(s): Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Son Lam Phung, Hoang Thanh Le, Hamza Baali

Pages: 5733 - 5745

32) Online Continual Learning Benefits From Large Number of Task Splits

Author(s): Shilin Zhang, Chenlin Yi

Pages: 5746 - 5759

33) Brain-Inspired Evolutionary Architectures for Spiking Neural Networks

Author(s): Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng

Pages: 5760 - 5770

34) An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient-Boosting and Fuzzy Rule-Based Models

Author(s): Jinbo Li, Peng Liu, Long Chen, Witold Pedrycz, Weiping Ding

Pages: 5771 - 5785

35) Broad Siamese Network for Facial Beauty Prediction

Author(s): Yikai Li, Tong Zhang, C. L. Philip Chen

Pages: 5786 - 5800

36) Hierarchical Spatial-Temporal Masked Contrast for Skeleton Action Recognition

Author(s): Wenming Cao, Aoyu Zhang, Zhihai He, Yicha Zhang, Xinpeng Yin

Pages: 5801 - 5814

37) An Improved Continuous-Encoding-Based Multiobjective Evolutionary Algorithm for Community Detection in Complex Networks

Author(s): Jun Fu, Yan Wang

Pages: 5815 - 5827

38) Multiscale Bilateral Attention Fusion Network for Pansharpening

Author(s): Zhongyuan Guo, Jiawei Li, Jia Lei, Jinyuan Liu, Shihua Zhou, Bin Wang, Nikola K. Kasabov

Pages: 5828 - 5843

39) A Hybrid Relational Approach Toward Stock Price Prediction and Profitability

Author(s): Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay

Pages: 5844 - 5854

[forgottenchii]

[ZhouYe] Something wrong with being Omega?

(3)

Fang Rui had been watching Lin Jingyan and Zhang Jiale talk for awhile now. Since the reporters had left him alone, his eyes had wondered to his boyfriend and the other man who he had been jealous of. The two were really close, especially since they were from the same generation and although he is a dirty shameless shit when it comes to game and sometimes to life, Fang Rui had always taken relationship as a very serious matter.

After seeing the two walking out he decided to tag along in a cheery manner.

"Eh, where are you guys going?" Fang Rui asked with his arms clasping Lin Jingyan's arms. He was trying to sound innocent but since it came from him, it was really suspicious.

"We're just buying soda. Do you want to go with us?" Zhang Jiale answered smirking. He was so sure he felt the different air from the younger one.

"Then I'll go to. Senior Zhang."

Zhang Jiale huffed trying to stop his laugh, he can see right through Fang Rui, the other must have been jealous of him.

Well, even he would be if Sun Zheping was close with another man, less an omega.

"Ruirui, stop gloating at Jiale, he's just a teamate." Lin Jingyan said looking calm and all but he warned Fang Rui.

Fang Rui pouted and said, "Hmph! Why don't you go to Heavenly Swords? Senior Sun is there."

"I said stop, Rui." Lin Jingyan warned him with his eyebrows raised.

"Hmph!"

"Hahaha" Zhang Jiale was not able to stop his laugh this time.

The three went towards the left corridor in which is the easiest path and closest to bathroom too.

[arvion-creates]

A couple months ago, I reread @dtriad 's linfang TLs (recommend but prepare for Feels :sob:), had all sorts of Emotions, and wrote a bit of linfang. I don't feel like actually finishing this (it's been sitting for "a couple months" minus two days), but I still kinda like it anyway, may as well yeet it into the void of my tumblr. Short n sweet.

--

Lin Jingyan let himself lay back, tugging Fang Rui with him. He let go of Fang Rui's hands to wrap his arms around Fang Rui's waist, their bodies slotting nicely together.

The crisp night air blanketed them, surrounding them and hiding them away from sight, just the two of them, partners in crime.

Lin Jingyan looked up and saw the stars, radiant above them. He must have shown his amazement in his body somehow, because Fang Rui was soon asking, "What is it?"

"It's…" Lin Jingyan didn't know how to explain. "Here." Before he could overthink it, he pulled Fang Rui to the side and clambered on top of him, flipping them over in a movement that had somehow been more graceful in his head.

Fang Rui laughed from the adrenaline, but it quickly faded out as he took a look at the scenery above them. His cheeks were flushed from both the cold and the laughter. Lin Jingyan watched his expression, sure that the stars would be reflecting in his eyes were it not for Lin Jingyan's shadow.

"It's gorgeous," Fang Rui said.

"Yeah," Lin Jingyan agreed.

Both were quiet for a moment, the sounds of the night filling the air.

Fang Rui lowered his gaze to look directly at Lin Jingyan, who was still bracketing Fang Rui's head with his forearms. The pure expression of joy and marvel on Fang Rui's face didn't fade a bit.

"Old Lin," he said, the words coming out as though Fang Rui were just saying the words for the sake of saying them, for the sake of saying his name.

"Ask me again," Lin Jingyan suddenly said.

"Huh?" Fang Rui asked.

Lin Jingyan found himself oddly reluctant to speak the words out, to break the sense of comfort by sharing his thoughts in daylight-clarity. "What you've been asking all night," he said instead.

"I don't… oh. Really?"

"Just ask," Lin Jingyan insisted.

Fang Rui's hand came up to cup Lin Jingyan's cheek. "Old Lin," he began, tentatively, as if he were determined to do this perfectly, determined not to overstep or to make a single mistake. "Can I have a kiss?"

"This again," Lin Jingyan said softly, the urge to complete the call-and-response undeniable. This time, though, he let his eyes slip closed. He leaned in, slowly, and he brushed his lips against Fang Rui's.

When he drew back, Fang Rui was grinning.

Fang Rui leaned up, Lin Jingyan leaned down, and they were kissing again, gentle and soft, this time more confidently.

Lin Jingyan lowered his body down onto Fang Rui and nuzzled his face into Fang Rui's neck. Beneath him, Fang Rui made a laughing protest about Lin Jingyan’s nose being cold, but he brought an arm up to stroke Lin Jingyan's upper back, holding him.

The stars above them shone bright, and the criminal duo was together in the night, just as things should be.

[pandabakajanai-blog]

Art for qzgs fanfic : A Whistle in the Wind by @fluea99

If you love LinFang you should check out this fanfic!! So cute❤️

———-

First time to join QZGSBB hope I don’t do something wrong TvT+

[rosaeceae]

交換隊服的小犯罪組合! 嘿嘿~ (´艸`)

(Criminal Partners jersey swap! hehehe~)

Fang Rui stole borrowed Lin Jingyan’s glasses. Like a true master thief

After drawing the blossom duo, I felt as though I had to do the criminal partners too. I wanted to maybe do the Ghostblade Duo or Blade and Curse (YuHuang) Duo but they’re on the same teams so the jersey swap doesn’t have much meaning...

方:嘿嘿~ 老林~ 好看嗎?~

林:嗯, 方銳大大. 但我覺得你不穿也挺好的

方:欸?是不是我想的意思?...

林:哈哈誰知道你呢?

方:老林… -退後-

You can uhh...translate this yourself if you’d like... gonna spare myself for this one... (¬_¬) no comment.

Also gonna plug my LOFTER for those who wanna see more King’s Avatar art that might not be on any other source (you can just click on the word LOFTER for a hyperlink btw)