Background:Stroke remains a major cause of morbidity and mortality worldwide.In Indonesia,it is the second most commonly diagnosed disease with a significant public health burden.The Alberta Stroke Program Early Compu...Background:Stroke remains a major cause of morbidity and mortality worldwide.In Indonesia,it is the second most commonly diagnosed disease with a significant public health burden.The Alberta Stroke Program Early Computed Tomography Score(ASPECTS)is a well-established clinical tool for assessing early ischemic changes.Lower ASPECTS(≤7)is associated with poorer clinical outcomes and a higher complication risk,particularly following thrombolytic therapy.The 24-h National Institutes of Health Stroke Scale(NIHSS24)score is a standardized measure of stroke severity and early neurological outcomes and strong predictor of long-term functional recovery.Methods:This retrospective study included 94 patients with acute ischemic stroke who underwent noncontrast brain computed tomography imaging and NIHSS evaluation at Cipto Mangunkusumo Hospital.Deep learningbased ASPECTS calculation was implemented to enhance accuracy.Associations of clinical,laboratory,and imaging parameters with the NIHSS24 score were evaluated.Linear multivariate and nonlinear regression(quadratic,cubic,and exponential)were performed,with Bonferroni and false detection rate(FDR)corrections for multiple comparisons.Results:Left-hemisphere ASPECTS robustly and independently predicted the NIHSS24 score in linear and nonlinear models.The nonlinear analysis demonstrated a ceiling effect:Patients with higher ASPECTS experienced disproportionately greater improvements in the NIHSS24 score(1.18 points per ASPECTS point lost),whereas those with lower ASPECTS presented only minimal change(0.06 points).Patient age exhibited borderline significance in the unadjusted model(P=0.0484)but was non-significant after Bonferroni(P=0.3872)and FDR corrections(P=0.1936).No other clinical or laboratory variables independently predicted the outcomes.Although patients with high ASPECTS had better NIHSS24 scores,these differences were not significant after adjustment.Conclusions:Lower ASPECTS,particularly in the left hemisphere,predicted greater neurological impairment 24-h post-stroke.The nonlinear association indicated nonuniform prognostic sensitivity across the ASPECTS spectrum,with patients with near-normal scores benefiting more from prompt intervention,compared with those with low scores.展开更多
Quantum computing offers unprecedented computational power, enabling simultaneous computations beyond traditional computers. Quantum computers differ significantly from classical computers, necessitating a distinct ap...Quantum computing offers unprecedented computational power, enabling simultaneous computations beyond traditional computers. Quantum computers differ significantly from classical computers, necessitating a distinct approach to algorithm design, which involves taming quantum mechanical phenomena. This paper extends the numbering of computable programs to be applied in the quantum computing context. Numbering computable programs is a theoretical computer science concept that assigns unique numbers to individual programs or algorithms. Common methods include Gödel numbering which encodes programs as strings of symbols or characters, often used in formal systems and mathematical logic. Based on the proposed numbering approach, this paper presents a mechanism to explore the set of possible quantum algorithms. The proposed approach is able to construct useful circuits such as Quantum Key Distribution BB84 protocol, which enables sender and receiver to establish a secure cryptographic key via a quantum channel. The proposed approach facilitates the process of exploring and constructing quantum algorithms.展开更多
Paired-permanent approach for VB theory is extensively developed. Canonical expansion of a paired-permanent is deduced. Furthermore, it is shown that a paired-permanent may be expressed in terms of the products of sub...Paired-permanent approach for VB theory is extensively developed. Canonical expansion of a paired-permanent is deduced. Furthermore, it is shown that a paired-permanent may be expressed in terms of the products of sub-paired-permanents of any given order and their corresponding minors. An ab initio spin-free valence bond program, called Xiamen, is implemented by using paired-permanent approach. Test calculation shows that Xiamen package is more efficient than some other programs based on the traditional VB algorithm, and it provides a new practical tool for quantum chemistry.展开更多
Aworld-renowned expert on non-conforming finite elementmethods,Prof.Zhong-Ci Shi,had left a lasting impact on the overarching development of Chinese computational mathematics and scientific computing as well as comput...Aworld-renowned expert on non-conforming finite elementmethods,Prof.Zhong-Ci Shi,had left a lasting impact on the overarching development of Chinese computational mathematics and scientific computing as well as computational mathematics worldwide through his tireless and visionary leadership.His dedication to developing academic programs in many leading Chinese universities and institutions,along with his stewardship in establishing national computational research programs,played a fundamental role in elevating Chinese computational research status to a global recognition.Several generations of Chinese scholars benefited from his guidance and teaching,and this focused issue of original research contributions from 33 Chinese and international scientist teams bears witness to the profound influence of Prof.Shi on their research careers by his lifetime of work spanning over six decades.Beyond being an accomplished mathematician,Prof.Shi had lived a life of a cultured man who radiated vigor and warmth,imbuing his life with heartiness,openness,and honesty.展开更多
The sky over the Jiuquan Satellite Launch Center was clear on the morning of May 14,2025,as the Long March 2D rocket roared to life,its fiery ascent piercing the blue horizon.Onboard the rocket were 12 computing satel...The sky over the Jiuquan Satellite Launch Center was clear on the morning of May 14,2025,as the Long March 2D rocket roared to life,its fiery ascent piercing the blue horizon.Onboard the rocket were 12 computing satellites,the first deployment of the ambitious“Star Computing”program,spearheaded by Chengdu-based ADA Space,which focuses on artificial intelligence(AI)technologies and their application in satellite networks.This launch marked a historic milestone in space-based AI and edge computing.The 12 satellites,each equipped with onboard AI processors,laser inter-satellite communication systems,and distributed computing capabilities,successfully entered their designated orbits,forming the foundational layer of what will eventually grow into a 2,800-satellite constellation.展开更多
摘要Background:Stroke remains a major cause of morbidity and mortality worldwide.In Indonesia,it is the second most commonly diagnosed disease with a significant public health burden.The Alberta Stroke Program Early Computed Tomography Score(ASPECTS)is a well-established clinical tool for assessing early ischemic changes.Lower ASPECTS(≤7)is associated with poorer clinical outcomes and a higher complication risk,particularly following thrombolytic therapy.The 24-h National Institutes of Health Stroke Scale(NIHSS24)score is a standardized measure of stroke severity and early neurological outcomes and strong predictor of long-term functional recovery.Methods:This retrospective study included 94 patients with acute ischemic stroke who underwent noncontrast brain computed tomography imaging and NIHSS evaluation at Cipto Mangunkusumo Hospital.Deep learningbased ASPECTS calculation was implemented to enhance accuracy.Associations of clinical,laboratory,and imaging parameters with the NIHSS24 score were evaluated.Linear multivariate and nonlinear regression(quadratic,cubic,and exponential)were performed,with Bonferroni and false detection rate(FDR)corrections for multiple comparisons.Results:Left-hemisphere ASPECTS robustly and independently predicted the NIHSS24 score in linear and nonlinear models.The nonlinear analysis demonstrated a ceiling effect:Patients with higher ASPECTS experienced disproportionately greater improvements in the NIHSS24 score(1.18 points per ASPECTS point lost),whereas those with lower ASPECTS presented only minimal change(0.06 points).Patient age exhibited borderline significance in the unadjusted model(P=0.0484)but was non-significant after Bonferroni(P=0.3872)and FDR corrections(P=0.1936).No other clinical or laboratory variables independently predicted the outcomes.Although patients with high ASPECTS had better NIHSS24 scores,these differences were not significant after adjustment.Conclusions:Lower ASPECTS,particularly in the left hemisphere,predicted greater neurological impairment 24-h post-stroke.The nonlinear association indicated nonuniform prognostic sensitivity across the ASPECTS spectrum,with patients with near-normal scores benefiting more from prompt intervention,compared with those with low scores.
摘要Quantum computing offers unprecedented computational power, enabling simultaneous computations beyond traditional computers. Quantum computers differ significantly from classical computers, necessitating a distinct approach to algorithm design, which involves taming quantum mechanical phenomena. This paper extends the numbering of computable programs to be applied in the quantum computing context. Numbering computable programs is a theoretical computer science concept that assigns unique numbers to individual programs or algorithms. Common methods include Gödel numbering which encodes programs as strings of symbols or characters, often used in formal systems and mathematical logic. Based on the proposed numbering approach, this paper presents a mechanism to explore the set of possible quantum algorithms. The proposed approach is able to construct useful circuits such as Quantum Key Distribution BB84 protocol, which enables sender and receiver to establish a secure cryptographic key via a quantum channel. The proposed approach facilitates the process of exploring and constructing quantum algorithms.
基金the National Natural Science Foundation of China (Grant Nos. 20073033, 20023001 and 29892166).
摘要Paired-permanent approach for VB theory is extensively developed. Canonical expansion of a paired-permanent is deduced. Furthermore, it is shown that a paired-permanent may be expressed in terms of the products of sub-paired-permanents of any given order and their corresponding minors. An ab initio spin-free valence bond program, called Xiamen, is implemented by using paired-permanent approach. Test calculation shows that Xiamen package is more efficient than some other programs based on the traditional VB algorithm, and it provides a new practical tool for quantum chemistry.
摘要Aworld-renowned expert on non-conforming finite elementmethods,Prof.Zhong-Ci Shi,had left a lasting impact on the overarching development of Chinese computational mathematics and scientific computing as well as computational mathematics worldwide through his tireless and visionary leadership.His dedication to developing academic programs in many leading Chinese universities and institutions,along with his stewardship in establishing national computational research programs,played a fundamental role in elevating Chinese computational research status to a global recognition.Several generations of Chinese scholars benefited from his guidance and teaching,and this focused issue of original research contributions from 33 Chinese and international scientist teams bears witness to the profound influence of Prof.Shi on their research careers by his lifetime of work spanning over six decades.Beyond being an accomplished mathematician,Prof.Shi had lived a life of a cultured man who radiated vigor and warmth,imbuing his life with heartiness,openness,and honesty.
摘要The sky over the Jiuquan Satellite Launch Center was clear on the morning of May 14,2025,as the Long March 2D rocket roared to life,its fiery ascent piercing the blue horizon.Onboard the rocket were 12 computing satellites,the first deployment of the ambitious“Star Computing”program,spearheaded by Chengdu-based ADA Space,which focuses on artificial intelligence(AI)technologies and their application in satellite networks.This launch marked a historic milestone in space-based AI and edge computing.The 12 satellites,each equipped with onboard AI processors,laser inter-satellite communication systems,and distributed computing capabilities,successfully entered their designated orbits,forming the foundational layer of what will eventually grow into a 2,800-satellite constellation.