986 research outputs found
The Transcription Factor SALL4 Regulates Stemness of EpCAM-positive Hepatocellular Carcinoma
13301甲第3999号博士(医学)金沢大学博士論文要旨Abstract 以下に掲載:JOURNAL OF HEPATOLOGY 60(1) pp.127-134 2014. ELSEVIER. 共著者:Sha Sha Zeng, Taro Yamashita, Mitsumasa Kondo, Kouki Nio, Takehiro Hayashi, Yasumasa Hara, Yoshimoto Nomura, Mariko Yoshida, Tomoyuki Hayashi, Naoki Oishi, Hiroko Ikeda, Masao Honda, Shuichi Kaneko
How does digital technology affect total factor productivity in manufacturing industries? Empirical evidence from China
Extensive studies have discussed the relationship between digital
technology and total factor productivity (T.F.P.) in manufacturing
industries, but far less attention is paid to the nonlinear relationship.
Based on the panel data of China’s manufacturing industries
and matching data of National Intellectual Property Public Service
Network from 2000 to 2019, this article aims to explore how
digital technology affects T.F.P. in manufacturing industries. The
result demonstrates that a significant inverted U-shaped relationship
is between digital technology and T.F.P. The threshold in
high technology manufacturing industries is larger than that in
low and middle technology manufacturing industries. With the
progress of digital technology, the expenditure of technology and
equipment upgrading is increasing. However, the marginal return
of technology and equipment is decreasing, besides technology
innovation. The case of China perhaps provides new insights into
manufacturing industries in developing country to gain sustainable
development
Towards Automatic Boundary Detection for Human-AI Hybrid Essay in Education
Human-AI collaborative writing has been greatly facilitated with the help of
modern large language models (LLM), e.g., ChatGPT. While admitting the
convenience brought by technology advancement, educators also have concerns
that students might leverage LLM to partially complete their writing assignment
and pass off the human-AI hybrid text as their original work. Driven by such
concerns, in this study, we investigated the automatic detection of Human-AI
hybrid text in education, where we formalized the hybrid text detection as a
boundary detection problem, i.e., identifying the transition points between
human-written content and AI-generated content. We constructed a hybrid essay
dataset by partially removing sentences from the original student-written
essays and then instructing ChatGPT to fill in for the incomplete essays. Then
we proposed a two-step detection approach where we (1) Separated AI-generated
content from human-written content during the embedding learning process; and
(2) Calculated the distances between every two adjacent prototypes (a prototype
is the mean of a set of consecutive sentences from the hybrid text in the
embedding space) and assumed that the boundaries exist between the two
prototypes that have the furthest distance from each other. Through extensive
experiments, we summarized the following main findings: (1) The proposed
approach consistently outperformed the baseline methods across different
experiment settings; (2) The embedding learning process (i.e., step 1) can
significantly boost the performance of the proposed approach; (3) When
detecting boundaries for single-boundary hybrid essays, the performance of the
proposed approach could be enhanced by adopting a relatively large prototype
size, leading to a \% improvement (against the second-best baseline method)
in the in-domain setting and an \% improvement in the out-of-domain
setting.Comment: 9 pages including references, 2 figure
A unified 4/8/16/32-point integer IDCT architecture for multiple video coding standards
(4096x2048) 30fps video sequence at 191MHz working frequency, with 93K gate count and 18944-bit SRAM. We suggest a normalized criterion called design efficiency to compare with previous works. It shows that this design is 31% more efficient than previous work
BMP7 Gene involved in nonsyndromic orofacial clefts in Western han Chinese
Background: Nonsyndromic orofacial clefts (NSOCs) are the most common craniofacial birth defects with complex etiology in which multiple genes and environmental exposures are involved. Bone morphogenetic protein 7
(BMP7), as a member of the transforming growth factor-beta (TGF-beta) superfamily, has been shown to play
crucial roles in palate and other orofacial ectodermal appendages development in animal models.
Material and Methods: This study was designed to investigate the possible associations between
BMP7
gene
and the NSOCs (221 case-parent trios) in Western Han Chinese. Five tagSNPs at BMP7, rs12438, rs6099486,
rs6127973, rs230188 and rs6025469 were picked and tried to cover the entire gene. In order to identify the contribution of
BMP7
gene to the etiology of NSOCs, we performed several statistical analysis from different aspects
including transmission disequilibrium test (TDT), pairwise linkage disequilibrium (LD), parent-of-origin effect
and Chi-squared/Fisher’s exact tests.
Results: Rs6127973 G allele and G/G homozygotes were over-transmitted for both NSOCs (
P
=0.005 and
P
=0.011,
respectively) and NSCL/P (
P
=0.0061 and
P
=0.011, respectively), rs6127973 G allele was also paternally over-
transmitted for both NSOCs (
P
=0.0061) and NSCL/P (
P
=0.011).
Conclusions: This study suggested that rs6127973 may be a risk factor of being NSOCs and confirmed the role
of
BMP7
gene in orofacial deformity from Western Han Chinese, which will also supply scientific evidence for
future research and genetic counseling
Exploring the first-time transition to parenthood in mainland China: a qualitative study on the experiences of fathers and mothers using the transition shock model
BackgroundThe transition to parenthood, which is influenced a lot by local parenting culture, is a dramatic stress for both men and women. Chinese social and cultural contexts form specific parental culture, shaping the unique experience of transition to parenthood. However, the understanding of the transition to parenthood in mainland China is limited. Additionally, few qualitative studies explored the transition to parenthood from both dyadic perspectives.AimTo explore the first-time transition to parenthood experience among mothers and fathers in mainland China during pregnancy, and compare the similarities and differences between their experiences in this transition period.MethodsA descriptive qualitative study was conducted with 36 parents, including 18 primiparous women and their husbands. Data were analyzed by directed content analysis guided by the Transition Shock Model. The interview texts were first analyzed at individual levels and subsequently at the couple level to identify dyadic themes.ResultsFive themes and thirteen sub-themes emerged from the data analysis, including role integration, health risk, dilemma of preparation, protective isolation, and multi-dimensional expectation. Unexpectedly, the experiences and perspectives of mothers and fathers regarding the transition to parenthood were found to be similar, with the exception of the sub-theme extra-care requirement.ConclusionThe findings shed light on the complex emotional journey and expectations of parents, as well as the challenges they face in terms of physical well-being, limited coping resources, and restricted social connections. Notably, fathers in China often shared the stress of the whole process during the transition period alongside mothers but often lacked accessible avenues for seeking and receiving support. These findings underscore the importance of actively involving fathers as a key support population in perinatal care, as well as the need for comprehensive support systems and tailored interventions to enhance the well-being and adaptation of parents
FHPM: Fine-grained Huge Page Management For Virtualization
As more data-intensive tasks with large footprints are deployed in virtual
machines (VMs), huge pages are widely used to eliminate the increasing address
translation overhead. However, once the huge page mapping is established, all
the base page regions in the huge page share a single extended page table (EPT)
entry, so that the hypervisor loses awareness of accesses to base page regions.
None of the state-of-the-art solutions can obtain access information at base
page granularity for huge pages. We observe that this can lead to incorrect
decisions by the hypervisor, such as incorrect data placement in a tiered
memory system and unshared base page regions when sharing pages.
This paper proposes FHPM, a fine-grained huge page management for
virtualization without hardware and guest OS modification. FHPM can identify
access information at base page granularity, and dynamically promote and demote
pages. A key insight of FHPM is to redirect the EPT huge page directory entries
(PDEs) to new companion pages so that the MMU can track access information
within huge pages. Then, FHPM can promote and demote pages according to the
current hot page pressure to balance address translation overhead and memory
usage. At the same time, FHPM proposes a VM-friendly page splitting and
collapsing mechanism to avoid extra VM-exits. In combination, FHPM minimizes
the monitoring and management overhead and ensures that the hypervisor gets
fine-grained VM memory accesses to make the proper decision. We apply FHPM to
improve tiered memory management (FHPM-TMM) and to promote page sharing
(FHPM-Share). FHPM-TMM achieves a performance improvement of up to 33% and 61%
over the pure huge page and base page management. FHPM-Share can save 41% more
memory than Ingens, a state-of-the-art page sharing solution, with comparable
performance
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