Miracle-dz/UniFAR-FTUs huggingface dataset:
Orthogonality in Principal Component Analysis Allows the Discovery of Lipids in the Jejunum That Are Independent of Ad Libitum Feeding

Ad libitum feeding of experimental animals is preferred because of medical relevance together with technical and practical considerations. In addition, ethical committees may require ad libitum feeding. However, feeding affects the metabolism so ad libitum feeding may mask the effects of drugs on tissues directly involved in the digestion process (e.g., jejunum and liver). Despite this effect, principal component analysis has the potential of identifying metabolic traits that are statistically independent (orthogonal) to ad libitum feeding. Consequently, we used principal component analysis to discover the metabolic effects of doxorubicin independent of ad libitum feeding. First, we analyzed the lipidome of the jejunum and the liver of rats treated with vehicle or doxorubicin. Subsequently, we performed principal component analysis. We could identify a principal component associated to the hydrolysis of lipids during digestion and a group of lipids that were orthogonal. These lipids in the jejunum increased with the treatment time and presented a polyunsaturated fatty acid as common structural trait. This characteristic suggests that doxorubicin increases polyunsaturated fatty acids. This behavior agrees with our previous in vitro results and suggests that doxorubicin sensitized the jejunum to ferroptosis, which may partially explain the toxicity of doxorubicin in the intestines.
Evolution of Fermi surface and normal-state gap in chemically substituted cuprates Bi$_{2}$Sr$_{2-x}$Bi$_{x}$CuO$_{6+δ}$

We have performed a systematic angle-resolved photoemission study of chemically substituted cuprates Bi$_{2}$Sr$_{2-x}$Bi$_{x}$CuO$_{6+\delta}$. We observed that the Fermi surface area shrinks linearly with Bi substitution content $x$, reflecting the electron doping nature of this chemical substitution. In addition, the spectral linewidth broadens rapidly with increasing $x$, and becomes completely incoherent at the superconducting-insulating boundary. The d-wave-like normal-state gap observed in the lightly underdoped region gradually evolves into a large soft gap, which suppresses antinodal spectral weight linearly in both the excitation energy and temperature. Combining with the bulk resistivity data obtained on the same samples, we establish the emergence of the Coulomb gap behavior in the very underdoped regime. Our results reveal the dual roles, doping and disorder, of off-plane chemical substitutions in high-$T_c$ cuprates and elucidate the nature of the quantum electronic states due to strong correlation and disorder.
AlGaN/GaN Metal Oxide Semiconductor Heterostructure Field-Effect Transistor Based on a Liquid Phase Deposited Oxide

AlGaN/GaN metal oxide semiconductor heterostructure field-effect transistors (MOSHFETs) with liquid phase deposited SiO2 as the insulating gate are demonstrated. A very large gate swing voltage is applied. An AlGaN/GaN MOS heterostructure FET with saturation characteristics is observed. For a gate length of 2 µm in a 5 µm channel opening with a gate width of 100 µm, MOSHFET with transconductance and maximum drain current of 78 mS/mm and 720 mA/mm, respectively, is achieved.
Digital marketing communication strategy as means to enhance digital branding

Companies worldwide have faced a quite discouraging reality ever since the SARS-CoV-2 pandemics started. In order for organizations to retrieve what they had accomplished hitherto and to build on their business once again, many of them have implemented digital strategies. This article analyzes the effect the digital marketing strategy on customer’s attitude toward brands providing e-services. 386 validated surveys were obtained analyzed through multiple linear regression. Results indicate that digital marketing has an impact on customer’s attitude toward brands.
Hierarchical Self-Assembly of Dipolar ZnO Nanoparticles and Microdroplets

In this work, we investigated the orientation and the polarization of ZnO nanoparticles, which serve as building blocks of highly monodisperse microspheres, using a droplet microfluidic-assisted synthesis method. We observe, for the first time, a square lattice organization of liquid microdroplets, in a steady state, at the oil/water interface. Such square organization reveals clearly a dipolar organization of ZnO nanoparticles at the surfaces of droplets at the early stage of ZnO nanocrystal aggregation and microsphere formation. We discuss different models of organization of ZnO nanoparticles and show that the well-known tip-streaming effect in droplets in microfluidics explains the reason for the obtained dipolar droplets. The square organization is illustrated and explained.
Embryo Culture as a Means of Introgressing Seedlessness from Vitis vinifera to V. rotundifolia

Embryos from five seedless Vitis vinifera L. clones were cultured in ovulo 6 weeks after pollination with V. rotundifolia Michx. A total of 19 hybrid seedlings from about 16,000 pollinations were identified using leaf morphology and starch-gel electrophoresis. Efforts to obtain more V. vinifera/V. rotundifolia hybrids carrying the seedless gene(s) using embryo rescue should be increased and these plants could act as breeding stock to introduce the seedless gene(s) from V. vinifera into V. rotundifolia.
Postagens mais populares sobre suicídio em blogs

Este estudo analisou os temas relacionados ao suicídio em postagens de blogs com língua portuguesa. Trata-se de um estudo qualitativo, realizado na plataforma Tumblr. Através da busca da palavra “suicídio”, Foram selecionadas as 250 primeiras postagens de texto em língua portuguesa classificadas como “mais populares” e submetidas à Análise Temática. Após a análise, algumas categorias surgiram: “O sofrimento e a insatisfação com a vida” foi o principal tema abordado; Os relacionamentos dolorosos e o sofrimento reforçaram-se mutuamente e ambos intensificavam a expectativa de que a morte poderia ser benéfica e eliminar problemas e sofrimentos; os relacionamentos insatisfatórios e pressões sociais de “estar bem” dificultavam a expressão do sofrimento e busca por ajuda. A Automutilação representou a materialização da dor e apresentou relação ambígua com o suicídio. O tema “prevenção do suicídio” foi retratado na minoria das postagens e esteve relacionado principalmente à manifestação de críticas, depreciação, oposição ao suicídio e ao comportamento suicidário. As ações de prevenção do comportamento suicida online e off-line precisam abordar a perspectiva sobre a vida e morte, os relacionamentos interpessoais, a automutilação, as estratégias de enfrentamento e pedido/oferta de ajuda.
Statistical characterisation of reinforcement properties for textile-reinforced concrete: a novel approach

The potential of textile-reinforced concrete is broad: it can be used in new structures and in the retrofitting of existing structural components. Designing textile-reinforced concrete requires knowledge about the mechanical properties of different textile types. To this, a standardised tensile test for fibre strands was used. The test aims to statistically characterise two material properties needed in design: ultimate tensile strength and the modulus of elasticity. To this, the influence of length and number of fibre strands were evaluated. The results show that the ultimate tensile strength can be statistically modelled by a Gumbel distribution and the modulus of elasticity can be characterised by a Normal distribution. These findings can be used to derive appropriate partial safety factors for the design value of tensile strength using probabilistic methods, or to directly determine the failure probability of textile-reinforced concrete components.
Inhibition of KRAS, MEK and PI3K Demonstrate Synergistic Anti-Tumor Effects in Pancreatic Ductal Adenocarcinoma Cell Lines

Simple Summary Small molecule inhibitors and targeted therapy are considered to have significant potential for pancreatic ductal adenocarcinoma therapies. Preclinical studies of novel inhibitors and inhibitor combinations can elucidate their acting mechanisms and provide valuable data for in vivo research and clinical trials. We explored the antitumor efficacy of KRAS inhibitors BI-3406 and sotorasib alone or in combination with the downstream inhibitors trametinib and buparlisib in PDAC cell lines, characterized by different KRAS mutational statuses. The two KRAS inhibitors demonstrated different anti-tumor efficacy and displayed synergistic or additive effects, when combined with downstream pathway inhibitors. These data emphasized the importance of KRAS as a therapeutic target for PDAC and indicate two distinct mechanisms of KRAS inhibition and their interactions with downstream pathway inhibitors. Abstract Kirsten rat sarcoma virus (KRAS) mutations are widespread in pancreatic ductal adenocarcinoma (PDAC) and contribute significantly to tumor initiation, progression, tumor relapse/resistance, and prognosis of patients. Although inhibitors against KRAS mutations have been developed, this therapeutic approach is not routinely used in PDAC patients. We investigated the anti-tumor efficacy of two KRAS inhibitors BI-3406 (KRAS::SOS1 inhibitor) and sotorasib (KRAS G12C inhibitor) alone or in combination with MEK1/2 inhibitor trametinib and/or PI3K inhibitor buparlisib in seven PDAC cell lines. Whole transcriptomic analysis of combined inhibition and control groups were comparatively analyzed to explore the corresponding mechanisms of inhibitor combination. Both KRAS inhibitors and corresponding combinations exhibited cytotoxicity against specific PDAC cell lines. BI-3406 enhance the efficacy of trametinib and buparlisib in BXPC-3, ASPC-1 and MIA PACA-2, but not in CAPAN-1, while sotorasib enhances the efficacy of trametinib and buparlisib only in MIA PACA-2. The whole transcriptomic analysis demonstrates that the two triple-inhibitor combinations exert antitumor effects by affecting related cell functions, such as affecting the immune system, cell adhesion, cell migration, and cytokine binding. As well as directly involved in RAF/MEK/ERK pathway and PI3K/AKT pathway affect cell survival. Our current study confirmed inhibition of KRAS and its downstream pathways as a potential novel therapy for PDAC and provides fundamental data for in vivo evaluations.
Endocytoscopic Observation of Esophageal Lesions: Our Own Experience and a Review of the Literature

This review outlines the process of the development of the endocytoscope (EC) with reference to previously reported studies including our own. The EC is an ultra-high-magnification endoscope capable of imaging at the cellular level. The esophagus is the most suitable site for EC observation because it is amenable to vital staining. The diagnosis of esophageal lesions using EC is based on nuclear density and nuclear abnormality, allowing biopsy histology to be omitted. The observation of nuclear abnormality requires a magnification of ×600 or higher using digital technology. Several staining methods have been proposed, but single staining with toluidine blue or methylene blue is most suitable because the contrast at the border of a cancerous area can be easily identified. A three-tier classification of esophageal lesions visualized by EC is proposed: Type 1 (non-cancerous), Type 2 (endocytoscopic borderline), and Type 3 (cancerous). Since characteristic EC images reflecting pathology can be obtained from non-cancerous esophageal lesions, a modified form of classification with four additional characteristic non-cancerous EC features has also been proposed. Recently, deep-learning AI for analysis of esophageal EC images has revealed that its diagnostic accuracy is comparable to that of expert pathologists.
STUDIES ON SHOCK VIBRATION CONTROL BY MOMENTUM EXCHANGE IMPACT DAMPER

学位授与大学：京都大学 ; 取得学位: 博士(工学) ; 学位授与年月日: 2007-09-25 ; 学位の種類: 新制・課程博士 ; 学位記番号: 工博第2859号 ; 請求記号: 新制/工/1420 ; 整理番号: 25544
Single-Object-Based Region Growth: Key Area Localization Model for Remote Sensing Image Scene Classification

Remote sensing image scene classification is a challenging task due to the large differences within the same classes and a large number of similar scenes among different classes. To tackle this problem, this paper proposes a single-object-based region growth algorithm to effectively localize the most key area in the whole image, so as to generate more discriminative local fine-grained features for the image scene. Concurrently, a local-global two-branch network is designed to utilize the features of the images from multiple perspectives, respectively. Specially, the global branch extracts global features (such as contour, texture) from the whole image, and local branch extracts more local features from the local key area. Finally, the global and local classification scores are integrated to make the final decision. Experiments are performed on three publicly available data sets, and the results show that this method can achieve higher accuracy compared to most existing state-of-the-art methods.
Studentizing Robust Estimates.

Abstract : The consistency of commonly used variance estimates for studentizing robust estimates of location is studied when the underlying distributions are asymmetric. Surprisingly, the popular methods for studentizing M-estimates, jackknifed M-estimates and adaptive trimmed means underestimate the true variance by a factor approaching 50% under the negative exponential distribution. Possible reasons for the failures and suggested modifications are presented. (Author)
Time series data augmentation method of small sample based on optimized generative adversarial network

In the time series classification task, for the problem that small samples have difficulty in capturing sequence features cause deep learning models have low classification accuracy. This article proposes a time series data augmentation method based on gated recurrent unit (GRU)‐convolutional neural network (CNN) structure of generative adversarial network, denoted as GC‐GAN. Specifically, the structure of GRU network in series with CNN is used as the generator of GAN model, while the discriminator part uses two‐layer convolution network. In order to avoid the disappearance of gradient, Wasserstein distance is used to measure the distance between the generated distribution and the true distribution, and penalties are introduced in the loss function. Finally, the particle swarm algorithm is used to optimize the hidden variable input of the generator to approximate the real sequence to the greatest extent and obtain the best sample. The experimental results on the UCR time series dataset show that the long short‐term memory network classification accuracy has been effectively improved after using the GC‐GAN model, with a maximum improvement of 4.4%, indicating that the method proposed in this article has better data augmentation capabilities.
The Empowerment of Women of Childbearing Age through Participatory Action Research in Preventing Cervical Cancer

AIM: This study aims to explore and analyze the effect of empowering women of childbearing age through the participatory action research method on cervical cancer prevention. SETTINGS AND DESIGN: This was qualitative and quantitative approaches. METHODS: A participatory action research approach to empower women of childbearing age and a quantitative pre-test and post-test without control approach was used to assess the changes that occur. Statistical analysis used: Paired t-test, to find out the mean difference before and after empowerment. Empowerment affects social changes in women of childbearing age in the prevention of cervical cancer. The Perwiritan and Moria groups not only carry out religious activities but also socialization and cervical cancer prevention campaigns. RESULTS: The results showed that empowerment had an effect on increasing the average score of knowledge, attitudes, and actions of women of childbearing age in preventing cervical cancer (p < 0.05). DISCUSSION: Empowerment of women of childbearing age is very effective in creating awareness, knowledge, attitudes, and actions in cervical cancer prevention. Empowerment can also be done for women in other communities. CONCLUSION: There is an increase in understanding of women of childbearing age and the situation in which PAR is carried out because of the emergence of change agents among women of childbearing age who continue to have dialectics.
Sugarcane Streak Mosaic Virus P1 Attenuates Plant Antiviral Immunity and Enhances Potato Virus X Infection in Nicotiana benthamiana

The sugarcane streak mosaic virus (SCSMV) is the most important disease in sugarcane produced in southern China. The SCSMV encoded protein 1 (P1SCSMV) is important in disease development, but little is known about its detailed functions in plant–virus interactions. Here, the differential accumulated proteins (DAPs) were identified in the heterologous expression of P1SCSMV via a potato virus X (PVX)-based expression system, using a newly developed four-dimensional proteomics approach. The data were evaluated for credibility and reliability using qRT-RCR and Western blot analyses. The physiological response caused by host factors that directly interacted with the PVX-encoded proteins was more pronounced for enhancing the PVX accumulation and pathogenesis in Nicotiana benthamiana. P1SCSMV reduced photosynthesis by damaging the photosystem II (PSII). Overall, P1SCSMV promotes changes in the physiological status of its host by up- or downregulating the expression of host factors that directly interact with the viral proteins. This creates optimal conditions for PVX replication and movement, thereby enhancing its accumulation levels and pathogenesis. Our investigation is the first to supply detailed evidence of the pathogenesis-enhancing role of P1SCSMV, which provides a deeper understanding of the mechanisms behind virus–host interactions.
Internet Gaming Disorder: Life satisfaction, negative affect, basic psychological needs, and depression

Objective: The purpose of this study was to propose a model to examine the relationships between Internet Gaming Disorder (IGD), depression, life satisfaction, basic psychological need satisfaction, and negative affect. Method: A total of 339 university students participated in this study. Of the participants, 244 mentioned that they played digital games and 95 mentioned that they did not play any digital games. Of the 244 students who played digital games, 131 were females (53.7%) and 113 were males (46.3%). In the study, Personal Information Form, Internet Gaming Disorder-Short Form, Basic Psychological Need Satisfaction Scale, Negative Affect Scale, and the Satisfaction with Life Scale were used as data collection tools. Results: As a result of the structural equation model, it was found that the relationship between basic psychological needs and IGD was mediated by life satisfaction. Besides, it was concluded that negative affect mediated the relationship between IGD and depression. Conclusion: This study presented a new model to demonstrate that the satisfaction of basic psychological needs was essential for IGD because it affected life satisfaction, which could lead to depression and negative affect.
Domain Mapping using Nonlinear Finite Element Formulation

Domain mapping is a bijective transformation of one domain to another, usually from a complicated general domain to a chosen convex domain. This is directly useful in many application problems like shape modeling, morphing, texture mapping, shape matching, remeshing, path planning etc. A new approach considering the domain as made up of structural elements, like membranes or trusses, is developed and implemented using the nonlinear finite element formulation. The mapping is performed in two stages, boundary mapping and inside mapping. The boundary of the 3-D domain is mapped to the surface of a convex domain (in this case, a sphere) in the first stage and then the displacement/distortion of this boundary is used as boundary conditions for mapping the interior of the domain in the second stage. This is a general method and it develops a bijective mapping in all cases with judicious choice of material properties and finite element analysis. The consistent global parameterization produced by this method for an arbitrary genus zero closed surface is useful in shape modeling. Results are convincing to accept this finite element structural approach for domain mapping as a good method for many purposes.
Bilayer metal halide perovskite for efficient and stable solar cells and modules

To reach the target of carbon neutral, a transition from fossil energy to renewable energy is unavoidable. Photovoltaic technology is considered one of the most prominent sources of renewable energy. Recently, metal halide perovskite materials have attracted tremendous interest in the areas of optoelectronic devices due to their ease of processing and outstanding performance. To date, perovskite solar cells (PSCs) have shown high power conversion efficiency up to 25.7% and 31.3% for the perovskite-silicon tandem solar cells, which promises to revolutionize the PV landscape. However, the stability of PSCs under operating conditions has yet to match state-of-the-art silicon-based solar cell technology, in which the stability of the absorbing layer and relevant interfaces is the primary challenge. These issues become more serious in the larger area solar modules due to the additional interfaces and more defects within the perovskite. Bilayer perovskite film composed of a thin low dimensional perovskite layer and a three-dimensional perovskite layer shows great potential in fabricating solar cells with high efficiency and stability simultaneously. In this review, recent advancements, including composition design and processing methods for constructing bilayer perovskite films are discussed. We then analyze the challenges and resolutions in deposition bilayer perovskite films with scalable techniques. After summarizing the beneficial effect of the bilayer structure, we propose our thinking of feasible strategies to fabricate high efficiency perovskite solar modules with a long lifetime. Finally, we outline the directions for future work that will push the perovskite PV technology toward commercialization.
ASSESSMENT OF STOCHASTIC APPROXIMATION METHODS AND OF DEGENERACY DIAGNOSTIC TOOLS IN EXPONENTIAL RANDOM GRAPH MODELS

In recent decades there has been an enormous growth of interest in the notion of social network and the methods of Social Network Analysis (SNA). The methodology developed in the field of network analysis has been categorized into descriptive methods and statistical methods. The statistical methods may be organized into two parts; the first group consists of dyadic and triadic methods which represent statistical models for subgraphs and the second group of statistical models for entire graphs and digraphs. In this work we pay attention to the Exponential Random Graph Models (ERGMs), the statistical models which provide a general framework for modeling dependent data where the dependence can be thought of as a neighborhood effect. The present manuscript is based on two main motivations. Firstly, we are interested to examine model diagnostics and check for degeneracy of ERGMs using different methods and functions. Secondly, we aim to evaluate and compare results obtained for networks of various sizes from three different estimation procedures such as Newton-Raphson, Robbins-Monro and Stepping.