5,681 research outputs found
Impacts, Monitoring and Management of Forest Pests and Diseases
Forest pests have diverse negative impacts on forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. The first step towards effectively managing forest pests would be to monitor their occurrence and assess their impact on forest ecosystems. The monitoring results can provide basic information for effective management strategies. The data from monitoring programs can result in the development of new methods for monitoring, assessing impact, and developing management techniques. This special issue aims to share information to assist in the effective management of forest pests, by understanding the responses of forest pests to natural and anthropogenic changes, and discussing new studies on the monitoring, assessment, and management of forest pests. The fourteen papers included in this issue focus on monitoring, assessing, and managing forest pests, including one editorial providing an overall idea of the monitoring, assessment and management of forest pests, two articles reviewing long-term changes in forest pests and forests, four papers focusing on the monitoring of forest pests, three papers on the assessment of forest pests, and four papers on the management of forest pests. These papers provide a better understanding of the structures and processes in forest ecosystems and fundamental information for the effective management of forest pests
Poset modules of the -Hecke algebras and related quasisymmetric power sum expansions
Duchamp--Hivert--Thibon introduced the construction of a right
-module, denoted as , for any partial order on the set .
This module is defined by specifying a suitable action of on the set
of linear extensions of . In this paper, we refer to this module as the
poset module associated with . Firstly, we show that has a Hopf algebra structure that is isomorphic to the
Hopf algebra of quasisymmetric functions, where is the full
subcategory of whose objects are direct sums of finitely
many isomorphic copies of poset modules and is the
Grothendieck group of . We also demonstrate how
(anti-)automorphism twists interact with these modules, the induction product
and restrictions. Secondly, we investigate the (type 1) quasisymmetric power
sum expansion of some quasi-analogues of Schur functions, where
is a composition. We show that they can be expressed as the sum of the
-partition generating functions of specific posets, which allows us to
utilize the result established by Liu--Weselcouch. Additionally, we provide a
new algorithm for obtaining these posets. Using these findings, for the dual
immaculate function and the extended Schur function, we express the
coefficients appearing in the quasisymmetric power sum expansions in terms of
border strip tableaux.Comment: 42 page
Hair dye-incorporated poly-γ-glutamic acid/glycol chitosan nanoparticles based on ion-complex formation
The projective cover of tableau-cyclic indecomposable -modules
Let be a composition of and a permutation in
. This paper concerns the projective covers of
-modules , and
, which categorify the dual immaculate
quasisymmetric function, the extended Schur function, and the quasisymmetric
Schur function when is the identity, respectively. First, we show that
the projective cover of is the projective indecomposable
module due to Norton, and and the -twist
of the canonical submodule of
for 's satisfying suitable
conditions appear as -homomorphic images of .
Second, we introduce a combinatorial model for the -twist of
and derive a series of surjections starting from
to the -twist of
. Finally, we construct the projective
cover of every indecomposable direct summand of
. As a byproduct, we give a characterization of
triples such that the projective cover of
is indecomposable.Comment: 41 page
Image Data Compensation to Prevent Display Artifacts on an OLED Display
This publication describes techniques for image data compensation that prevent display artifacts on an organic light-emitting diode (OLED) display when the refresh rate and the clock speed of the display are changed. The OLED display may be implemented in a mobile device that supports multiple refresh rates. To conserve power, the mobile device may alter the refresh rate and clock speed of the OLED display from a first refresh rate and clock speed to a second refresh rate and clock speed. Image data intended to be displayed on a particular pixel row of the OLED display may be compensated based on the first refresh rate, the second refresh rate, and the location of the particular pixel row within the OLED display to generate compensated image data. Using the techniques described herein, the compensated image data may be output for use in preventing display artifacts while the image data is displayed in a first frame after the refresh rate and clock speed are changed
Homological properties of 0-Hecke modules for dual immaculate quasisymmetric functions
Let be a nonnegative integer. For each composition of , Berg
introduced a cyclic indecomposable -module
with a dual immaculate quasisymmetric function as the
image of the quasisymmetric characteristic. In this paper, we study
's from the homological viewpoint. To be precise, we
construct a minimal projective presentation of and a
minimal injective presentation of as well. Using them, we
compute and , where is
the simple -module attached to a composition of . We also
compute when
and , where represents the lexicographic
order on compositions.Comment: 44 pages, to be published in Forum of Math: Sigm
Simultaneous deletion of floxed genes mediated by CaMKIIa-Cre in the brain and in male germ cells: application to conditional and conventional disruption of Go-alfa
The Cre/LoxP system is a well-established approach to spatially and temporally control genetic inactivation. The calcium/calmodulin-dependent protein kinase II alpha subunit (CaMKIIα) promoter limits expression to specific regions of the forebrain and thus has been utilized for the brain-specific inactivation of the genes. Here, we show that CaMKIIα-Cre can be utilized for simultaneous inactivation of genes in the adult brain and in male germ cells. Double transgenic Rosa26+/stop-lacZ::CaMKIIα-Cre+/Cre mice generated by crossing CaMKIIα-Cre+/Cre mice with floxed ROSA26 lacZ reporter (Rosa26+/stop-lacZ) mice exhibited lacZ expression in the brain and testis. When these mice were mated to wild-type females, about 27% of the offspring were whole body blue by X-gal staining without inheriting the Cre transgene. These results indicate that recombination can occur in the germ cells of male Rosa26+/stop-lacZ::CaMKIIα-Cre+/Cre mice. Similarly, when double transgenic Gnao+/f::CaMKIIα-Cre+/Cre mice carrying a floxed Go-alpha gene (Gnaof/f) were backcrossed to wild-type females, approximately 22% of the offspring carried the disrupted allele (GnaoΔ) without inheriting the Cre transgene. The GnaoΔ/Δ mice closely resembled conventional Go-alpha knockout mice (Gnao−/−) with respect to impairment of their behavior. Thus, we conclude that CaMKIIα-Cre mice afford recombination for both tissue- and time-controlled inactivation of floxed target genes in the brain and for their permanent disruption. This work also emphasizes that extra caution should be exercised in utilizing CaMKIIα-Cre mice as breeding pairs.Fil: Choi, Chan-Il. Ajou University. School of Medicine; Corea del SurFil: Yoon, Sang-Phil. Ajou University. School of Medicine; Corea del SurFil: Choi, Jung-Mi. Ajou University. School of Medicine; Corea del SurFil: Kim, Sung-Soo. Ajou University. School of Medicine; Corea del SurFil: Lee, Young-Don. Ajou University. School of Medicine; Corea del SurFil: Birnbaumer, Lutz. National Institute of Environmental Health Sciences; Estados Unidos. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Instituto de Investigaciones Biomédicas. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas; ArgentinaFil: Suh-Kim. Haeyoung. Ajou University. School of Medicine; Corea del Su
Automatic 3D Model Generation based on a Matching of Adaptive Control Points
Abstract The use of a 3D model helps to diagnosis and accurately locate a disease where it is neither available, nor can be exactly measured in a 2D image. Therefore, highly accurate software for a 3D model of vessel is required for an accurate diagnosis of patients. We have generated standard vessel because the shape of the arterial is different for each individual vessel, where the standard vessel can be adjusted to suit individual vessel. In this paper, we propose a new approach for an automatic 3D model generation based on a matching of adaptive control points. The proposed method is carried out in three steps. First, standard and individual vessels are acquired. The standard vessel is acquired by a 3D model projection, while the individual vessel of the first segmented vessel bifurcation is obtained. Second is matching the corresponding control points between the standard and individual vessels, where a set of control and corner points are automatically extracted using the Harris corner detector. If control points exist between corner points in an individual vessel, it is adaptively interpolated in the corresponding standard vessel which is proportional to the distance ratio. And then, the control points of corresponding individual vessel match with those control points of standard vessel. Finally, we apply warping on the standard vessel to suit the individual vessel using the TPS (Thin Plate Spline) interpolation function. For experiments, we used angiograms of various patients from a coronary angiography in Sanggye Paik Hospital
Model-Free Reconstruction of Capacity Degradation Trajectory of Lithium-Ion Batteries Using Early Cycle Data
Early degradation prediction of lithium-ion batteries is crucial for ensuring
safety and preventing unexpected failure in manufacturing and diagnostic
processes. Long-term capacity trajectory predictions can fail due to cumulative
errors and noise. To address this issue, this study proposes a data-centric
method that uses early single-cycle data to predict the capacity degradation
trajectory of lithium-ion cells. The method involves predicting a few knots at
specific retention levels using a deep learning-based model and interpolating
them to reconstruct the trajectory. Two approaches are used to identify the
retention levels of two to four knots: uniformly dividing the retention up to
the end of life and finding optimal locations using Bayesian optimization. The
proposed model is validated with experimental data from 169 cells using
five-fold cross-validation. The results show that mean absolute percentage
errors in trajectory prediction are less than 1.60% for all cases of knots. By
predicting only the cycle numbers of at least two knots based on early
single-cycle charge and discharge data, the model can directly estimate the
overall capacity degradation trajectory. Further experiments suggest using
three-cycle input data to achieve robust and efficient predictions, even in the
presence of noise. The method is then applied to predict various shapes of
capacity degradation patterns using additional experimental data from 82 cells.
The study demonstrates that collecting only the cycle information of a few
knots during model training and a few early cycle data points for predictions
is sufficient for predicting capacity degradation. This can help establish
appropriate warranties or replacement cycles in battery manufacturing and
diagnosis processes
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