Our study explores the association between adoption of green technology and development dynamic capabilities to achieve competitive advantage. This research concentrates explicitly on mediating function product innovation. The is grounded in theory seeks improve understanding regarding how organizations can attain a edge by employing practices capabilities. Data were obtained from 312 manufacturing business managers Bangladesh. We utilized partial least squares structural equation modeling...

The aim of this study was to detect the mRNA expression levels dopamine D2 receptor (DRD2) and transporter (DAT) in peripheral blood leukocytes (PBLs) schizophrenia patients explore relationship between clinical symptoms schizophrenia. research included 25 cases acute patients, 27 chronic 30 healthy controls. In every case, we measured DRD2 DAT PBLs by real-time quantitative reverse transcription-polymerase chain reaction (real-time RT-PCR), evaluated patients' using Positive Negative...

Abstract Background and Objectives This study aimed to analyse predict emerging trends in transfusion medicine using complex network analysis of high‐impact global scholar rankings. Materials Methods Network was employed uncover research trends, identify central directions map knowledge networks. The analytical hierarchy process used evaluate potential future trajectories. Kolmogorov–Smirnov test assessed centrality differences, with cross‐validation performed the Association for Advancement...

Object recognition is a wide applied task in computer vision. Many fine-grained object approaches are proposed recent years to detect the same species objects effectively at subordinate-level. In this paper, we present novel vehicle by utilizing collaborative feedback scheme of detection-classification-tracking surveillance video. We collect labeled data set 200 car images which contains three types addition negative samples, and extract Haar-like features from training samples build global...

At the level of enterprise supply chain security management, with rise network technology big data methods such as Internet Things (IoT) and cloud computing, it has had a multi-level impact on its management mode, including operation mode. The traditional model is based old-fashioned communication manual intervention for judgment processing. Information advantages immediacy strong correlation. Based this, this article applies interconnection to construction models combines efficient...

Recently, correlation filter (CF)-based tracking methods have attracted considerable attention because of their high-speed performance. However, distortion, which refers to the phenomenon that outputs CF-based trackers are distorted, remains a major obstacle for these methods. In this paper, we propose distortion-aware framework, can detect distortions and recover from failures. Our framework employs simple yet effective feature termed normed response distortions. Meanwhile, introduce...

Incontinentia pigmenti (IP) is a rare X-linked dominant genetic disease affecting ectodermal tissue and often misdiagnosed in the neonatal period. The aim of this study was to highlight sequential clinical features evaluate prognosis 32 IP patients.A retrospective descriptive analysis performed, using clinical, blood analytical, pathological, radiological, genetic, followed-up data patients diagnosed with from 2010 2021, Xi'an, China.Of patients, two (6.25%) were male. Thirty babies (93.75%)...

The split feasibility problem (SFP) is finding a point [Formula: see text] such that text], where C and Q are nonempty closed convex subsets of Hilbert spaces bounded linear operator. Byrne's CQ algorithm an effective to solve the SFP, but it needs compute sometimes difficult work out. López introduced choice stepsize text]. However, he only obtained weak convergence theorems. In order overcome drawbacks, in this paper, we first provide regularized without computing find minimum-norm...

Let H be a real Hilbert space and C nonempty closed convex subset of H. Assume that g is real-valued function the gradient ∇g [Formula: see text]-ism with text]. text], We prove sequence text] generated by iterative algorithm converges strongly to where minimum-norm solution constrained minimization problem, which also solves variational inequality Under suitable conditions, we obtain some strong convergence theorems. As an application, apply our solving split feasibility problem in spaces.

Abstract Introduction To explore the changes in C‐reactive protein (CRP) level different regions of one old offspring rats exposed to prenatal stress (PS). Methods The rat model was constructed with restraint on pregnant dams days 14–20 gestation. Offspring were randomly divided into PS susceptibility (PS‐S) group and control (CON) group. Behavioral experiments including sucrose preference test (SPT), open‐field (OFT), forced swimming (FST) used measure depressive‐like behaviors....

Abstract: Cardiac hypertrophy is a feature of hypertrophic cardiomyopathy (HCM), which could lead to heart failure and other cardiovascular diseases. Cardiomyocyte (CH) the primary characteristic cardiac hypertrophy. Long noncoding RNA (lncRNA, lincRNA) plays an important role in CH. In this study, expression linc-RMRP its correlation with were analyzed tissues patients HCM. Real-time qPCR western blotting measured expressions lincf-RMRP, miR-1, marker genes. pulldown luciferase reporter...

Social networks are a complex system that members communicate, create new connections or destroy existing connections, and further deliver major impacts on each member’s life. Given the spread of Internet increased academic pressure, sedentary prescreen behaviors very common among adolescents; meanwhile, sports gradually decreasing. This situation has had an adverse effect health. paper used questionnaire survey to investigate influence social adolescent behavior, including intermediary role...

In this paper, we propose a novel collaborative appearance model for robust human tracking by exploiting both object and motion information in the bayesian framework. contrast to most existing methods which use low or high-level visual cues, mid-level cues via superpixel with sufficient structure represent object. our work, is modeled static confidence map map. We present spatial clustering method (SCM) group superpixels local features, evaluate results. The computed predicting direction...

The present study aimed to assess the role of miR-1275 in cardiac ischemia reperfusion injury. H9 human embryonic stem cell (hESC)-derived cardiomyocytes stimulated by oxygen-glucose deprivation/reoxygenation (OGD/R) were used simulate myocardial injury vitro. expression levels cells measured RT-qPCR. release lactate dehydrogenase (LDH) and creatine kinase (CK) was examined through LDH CK ELISA kits. Cell apoptosis detected flow cytometry. A Fura-2 Calcium Flux Assay Kit a Fluo-4 assay kit...

In this paper we propose a robust sparse based visual tracking method by exploiting local representations in particle filter framework. We construct Multi-level Local Dictionary which consists of positive templates and negative for discriminative model, Which divide the dictionary into two levels called static dynamic templates, respectively, thus can account targets appearance changes. An effective is also introduced calculate confidence value with takeing information consideration, makes...

<sec> <title>BACKGROUND</title> Scholars were selected based on specific criteria, and their affiliations, research directions, contents standardized to construct the knowledge network. </sec> <title>OBJECTIVE</title> This study conducts a comprehensive analysis of networks in transfusion medicine, with aim identifying emerging trends key areas focus. <title>METHODS</title> The employs systematic approach analyze topological properties network, central nodes within field. A subnetwork is...

This work aims to address the challenge of risk and return assessment in investment projects within field engineering management by proposing an innovative evaluation method based on a Back Propagation Neural Network (BPNN). By constructing training BPNN model, it successfully predicts levels returns using large dataset historical project data, significantly enhancing accuracy predictions scientific basis for decision-making. Experimental results show that, compared traditional methods,...