Miracle-dz/UniFAR-FTUs huggingface dataset:
YOUNG TECH-ENTREPRENEUR’S AGILITY AND COMPETITIVENESS IN MALAYSIA: ISSUES AND PERSPECTIVES

Disruptive technologies of fourth industrial revolution emanate numerous challenges and opportunities to survive and compete in the highly dynamic market. This study aims at investigating the factors that inhibit the agility and competitiveness of young technopreneurial firms during the Fourth Industrial Revolution (IR 4.0). IR4.0 is a new trend that influences the business operation of young technopreneurial firms and if they do not keep abreast with these changes, their survival will be at stake. As such, it is pertinent to understand what are the factors that may hamper them from surviving in the era of IR4.0. This study contributes to the literature by presenting the interview findings of eighteen entrepreneurs who operated as young technopreneurial firms. The respondents participated in a series of semi-structured interviews on the inhibitors affecting their agility and competitiveness. The findings offer an understanding on the relationship between inhibitors and the agility and competitiveness of young technopreneurial
MIMO Architecture for Optical Camera Communications

Compare with other communication system based RF technology, Optical Camera Communication (OCC) has limitation on data rate due to the low frame rate of camera. The limitation on data rate can be solved with multiple-input and multiple-output (MIMO) technology; and it is the final target of all researches on OCC. The MIMO topology can be implemented easily without breaking out the architecture of image sensor. For image sensor classification, there are two architectures have been developed: rolling shutter and global shutter. The operation of two techniques is different so the performance is also different. In this paper we analyze and evaluate the performance of the MIMO architecture for OCC.
A formal model of the human psyche life-supporting functions dialectic logic control

A lot of research in the field of artificial intelligence cannot be completed, or carried out at all, due to the lack of at the moment a correct theory of the human brain functioning associated with its intellectual activity, at least at a conceptual level. So far, there are no comprehensive proposals by researchers on what principles should be based on models of elementary and structured meanings processed by the brain in the course of human life, not to mention formal languages and their grammars, or, especially, formal theories designed for these purposes. The purpose of this article is to fill the gap in scientific knowledge about the human brain. Academician P.K. Anokhin in 1984 proposed the concept of a model for organizing and regulating a behavioral act, in which there is a place for all basic processes and conditions. It was called the functional system model. With such a model, it becomes possible in the same vein, using axiomatic statements, to create a logical-dialectical model of the functioning process at the physiological level of any of the higher mental functions. The dialectical logic of controlling any human body functional systems follows from the conceptual knowledge of the vital functions of these functional systems, obtained exclusively by natural experimenting. Therefore, the conceptual knowledge of the vital functions of each studied functional system of a person should precede the description of the logic essence of its control. The human psyche is one of the most important functional systems of the human body. The article presents the fundamental concepts of the vital functions of this system, which allow revealing the essence of the dialectical logic of life-supporting functions control and a formal model of the dialectic logic of the human psyche functional sys-tem control.
Influence of Alcohol on Performance of Ce0.65Zr0.35O2 and Its Corresponding Pd-only Catalyst in Ageing System

CZ oxygen storage material was prepared by co-precipitation method. The ethanol-water, propyl alcohol-water, ethylene glycol-water, and glycerol-water ageing systems were used to age the precipitate. CZ was characterized by scanning electron microscope (SEM) and nitrogen sorption techniques. Their corresponding Pd/CZ were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscope (XPS), oxygen storage capacity (OSC), and hydrogen temperature-programmed reduction (H2-TPR) techniques. The results showed that the CZ prepared in ethanol-water and propyl alcohol-water ageing system exhibited large BET surface and pore size, high pore volume, as well as excellent thermal stability. The propyl alcohol-water imparted CZ the highest thermal stability, with BET surface of 28 m/g and pore volume 0.1 mL/g after ageing. The corresponding aged Pd/CZ showed prominent catalytic performance. The T50 and T90 of C3H8, CO and NO were lower than those over the catalysts prepared in ethylene glycol-water and glycerol-water ageing system obviously.
Immune Cells Expansion From Peripheral Blood of Some Vietnamese Cancer Patients

Immunotherapy recently attracted high attention of scientists in cancer treatment. However, this therapy is poorly studied and applied in Vietnam. In this report, we present the results of immune cell ex vivo expansion for cancer treatment. After 20-21 days of culture, the average number of CD3CD8 cytotoxic T lymphocytes (CTLs) increased by 633.6-fold, equivalent to 3277.5 × 10 cells, and with the cell viability was 96.3%. Among them, the increasing fold of lung, liver and gastric cancer patients were 232.4, 812.4 and 655.6 respectively. Meanwhile, the average number of CD3 CD56 natural killer (NK) cells increased by 940.3-fold, equivalent to 2659.3 × 10 cells, with the cell viability of 95%. Gastric cancer patients had the highest fold of NK cell expansion (1644.9 fold) compared to that in lung cancer (695.0 fold) and liver cancer patients (358.3 fold). These results revealed that our method of immune cell expansion met the requirements in the immune cell number for clinical applications in cancer treatment in Vietnam.
GAS EXCHANGES AND CARBOHYDRATE METABOLISM IN ORANGE TREES WITH CVC

Gas exchanges, sucrose, starch and reducing sugar contents were analyzed in leaves of orange trees with and without Citrus Variegated Chlorosis (CVC), a disease caused by the bacteria Xylella fastidiosa. Healthy plants (HP) and diseased plants (DP) were evaluated 20 and 26 months after bacterial inoculation, in October 1998 and April 1999, respectively. On the first evaluation date, CO2 assimilation rates for HP were greater than DP in the early morning and midday, but on the second date they were greater in HP all along the day. On the first date, there was an increase in the sucrose content of DP at 15:00 h and 17:00 h in relation to HP. On the second evaluation date, DP presented greater reducing sugar content only in the early morning while sucrose content showed a decrease at 15:00 h. Also, on the second date, the concentrations of starch were always lower for DP compared to HP. It is suggested that this variation in starch levels might be related to energy availability in DP, as they also showed lower photosynthetic rates. Soluble sugars did not show any correlation with the disease and photosynthetic parameters.
Ofﬂine Sound Volume Feedback Algorithm for a Violin-Playing Robot

: This paper proposes an ofﬂine sound volume feedback algorithm for a violin-playing robot and shows the validity of the algorithm. We built a 7 D.O. F. violin-playing robot and investigated the relationship between bow speed and sound volume. We found from experiments that the sound volume can be approximated by a third-order polynomial of the bow speed. Based on this relationship, we proposed an algorithm for sound volume feedback. We implemented the proposed algorithm onto the robot to clarify its effects. The result conﬁrmed the validity of the proposed algorithm.
Analysis of urinary S-phenylmercapturic acid and trans,trans-rnuconic acid as exposure biomarkers of benzene in petrochemical and industrial areas of Korea

Print ISSN: 0355-3140 Electronic ISSN: 1795-990X Copyright (c) Scandinavian Journal of Work, Environment & Health Original article Scand J Work Environ Health 2000;26(1):62-66 doi:10.5271/sjweh.511 Analysis of urinary S-phenylmercapturic acid and trans,trans -muconic acid as exposure biomarkers of benzene in petrochemical and industrial areas of Korea by Fang MZ, Shin MK, Park KW, Kim YS, Lee JW, Cho MH
Assessment of mean world ocean meridional heat transport characteristics by a high-resolution model

Eddy-induced meridional heat transport (EMHT) distribution in the world ocean is calculated by means of the eddy-resolving model INMIO, with atmospheric and radiative forcing defined by the CORE-II protocol data in 1978–1982. The EMHT is defined as the deviation of the total MHT value from the one calculated on the basis of 3-month running means of temperature and velocity. Local and zonally-integrated distributions of the EMHT in the global ocean and its basins are considered. We show that in some locations the eddy component makes a significant contribution to the total MHT, particularly in the Southern Ocean, near the equator, in western boundary currents, and in the regions of current confluences. Several qualitative differences are found between our results and other model-based and observation-based assessments. The eddy heat transport is shown to have sometimes a positive component along the horizontal temperature gradient direction, which makes it ill-founded to parameterize the EMHT by the common heat diffusion law with a positive diffusion coefficient.
V. Polarized compartmentalization of antigen processing and Toll-like receptor signaling in intestinal epithelial cells

Hershberg, Robert M. The Epithelial Cell Cytoskeleton and Intracellular Trafficking. V. Polarized compartmentalization of antigen processing and Toll-like receptor signaling in intestinal epithelial cells. Am J Physiol Gastrointest Liver Physiol 283: G833–G839, 2002; 10.1152/ajpgi.00208. 2002. — The intestinal epithelial cell (IEC) is exposed at the apical surface to a high concentration of foreign antigen and bacterial products capable of triggering inflammatory responses. Complex intracellular pathways of antigen trafficking and the polarized expression of immunologically active receptors provide additional means to regulate the inflammatory pathways in these cells. In the case of human leukocyte antigen (HLA) class II heterodimers, surface expression is highly restricted to the basolateral surface, and this also appears to be the case for Toll-like receptor 5 (TLR5) on polarized T84 human colon cancer cells. Processing of soluble antigen via HLA class II in IEC can occur following internalization from the apical surface but is highly inefficient. In addition, certain bacteria can facilitate the transport of flagellin (the ligand for TLR5) across an intact epithelium. Disruption of the tight junctions between IECs, allowing direct access of antigen and flagellin to the basolateral surface of the cell, dramatically affects the functional outcome HLA class II and TLR5 pathways.
Title Preparation of amyloid beta-protein for structural and functional studies

Amyloid proteins cause a number of progressive, degenerative diseases. Among these is Alzheimer’s disease (AD), the etiology of which is linked to the formation of neurotoxic assemblies by the amyloid ‐protein (A ). The clinical importance of AD has stimulated intense interest in the mechanisms of A folding and self‐assembly. Studying these phenomena in vitro requires the preparation of A peptide stocks that are well defined and display reproducible biophysical and biological behaviors. Unfortunately, the propensity of A to self‐assemble has made this goal difficult. I discuss here a biphasic strategy for preparing A for structural and functional studies. The strategy involves sodium hydroxide pretreatment of synthetic A , followed by size fractionation procedures. This approach produces A solutions that have been used successfully in a variety of in vitro and in vivo experimental systems.
CROSS-THEMATIC MODELING OF THE WORLD PRIOR-ART STATE: REJECTED PATENT APPLICATIONS ANALYSIS

The paper contains an analysis of rejected applications on material gathered from Rospatent Federal Institution of Intellectual Property source. It is one of the basic steps for the cross-thematic modeling procedure. Also on basis of legal system in the field of patent rights authors formulated an algorithm of patent application analysis performed by experts of the patent office and discovered cases in which the office rejected patent obtainment. Formulation of an algorithm of evaluation for “novelty”, “industrial applicability” and “inventive step” criteria of provided patent application was developed.
Effect of Agricultural Mechanization on Production and Farmers Economy in Nigeria: A Case Study of Lagos State

Agricultural mechanization is an essential factor influencing agricultural output and the profitability of farming activities. The influence of agricultural mechanization on agricultural production in Lagos State, where the majority of the farmers use modern technologies for their farming operations, was investigated. The investigative research approach method was employed to retrieve information from farmers through a structured questionnaire. A five rating scale questionnaire was utilized for the respondents to show their level of agreement or disagreement. The percentage was used to analyze the respondents' bio-data. At the same time, the mean was employed to answer the research questions. The null hypotheses were tested using Chi-square statistics at 0.05 significant levels. The results revealed that agricultural mechanization increased the cultivated land, crop yields, and farmers’ income with cumulative means of 2.34, 1.07, and 1.44, respectively. Socioeconomic characteristics, available technology, and government policies influenced agricultural mechanization with cumulative means of 1.93, 1.24, and 1.79, respectively. The entire six hypotheses were rejected based on the results of the Chi-square statistics with the calculated X2 values of 8,989.09, 473.59, 3,977.42, 2,192.63, 226.07 and, 1,878.05; and critical X2 values of 46.19, 46.19, 36.42, 31.41, 21.03, and 31.41, for the significant effect on the size of land cultivated, crop yield, farmer’s income, socioeconomic characteristics, available technology, and government policies respectively. The study showed that agricultural mechanization had a significant influence on crop production and farmers’ income. Therefore, there is a need to improve the available technologies and formulate and implement policies to make agricultural mechanization accessible and sustainable.
Association of Relative Telomere Length and Risk of High Human Papillomavirus Load in Cervical Epithelial Cells

Abstract Importunate high-risk HPV (HR-HPV) infection is the most common trigger for the cervical carcinogenesis process. In this respect, the presence of cancer can be imputed to telomere lengthening or shortening. This paper explores the possible correlation between relative telomere length and viral load in two groups of women, namely: those with high-risk HPV infection and those who do not have this infection. Thus, samples comprising of 50 women in each group were evaluated for this research. The Amplisens HPV HCR screen-titre-FRT PCR kite was employed for quantitative analysis. Relative telomere length was quantified by real-time PCR. In each of the two HPV load groups, there was no correlation between age and telomere length. Telomere shortening was found in the cervical cell samples of women with high HPV loads, compared with women in the control group. Telomere shortening is associated with elevated HPV loads.
Array-Based Comparative Genomic Hybridization Analysis in Children with Developmental Delay/Intellectual Disability

Abstract Developmental delay (DD) is a condition wherein developmental milestones and learning skills do not occur at the expected age range for patients under 5 years of age. Intellectual disability (ID) is characterized by limited or insufficient development of mental abilities, including intellectual functioning impairments, such as learning and cause–effect relationships. Isolated and syndromic DD/ID cases show extreme genetic heterogeneity. Array-based comparative genomic hybridization aCGH) can detect copy number variations (CNVs) on the whole genome at higher resolution than conventional cytogenetic methods. The diagnostic yield of aCGH was 15.0–20.0% in DD/ID cases. The aim of this study was to discuss the clinical findings and aCGH analysis results of isolated and syndromic DD/ID cases in the context of genotype-phenotype correlation. The study included 139 cases (77 females, 62 males). Data analysis revealed 38 different CNVs in 35 cases. In this study, 19 cases with pathogenic CNVs (13.6%) and five cases with likely pathogenic CNVs (3.5%) were found in a total of 139 cases diagnosed with DD/ID. When all pathogenic and likely pathogenic cases were evaluated, the diagnosis rate was 17.1%. The use of aCGH analysis as a first-tier test in DD/ID cases contributes significantly to the diagnosis rates and enables the detection of rare microdeletion/microduplication syndromes. The clear determination of genetic etiology contributes to the literature in terms of genotype-phenotype correlation.
Transformer-based Encoder-Decoder Model for Surface Defect Detection

Recently, deep learning approaches have been gaining popularity in industrial quality control (e.g. surface defect detection), due to their ability for automatically extracting more representative features. In this paper, we propose a two-stage end-to-end approach through a Transformer-based encoder-decoder for surface defect detection. First, we develop a surface defect detection model to train the slicing of input raw images with the same final resolution of the input images and the output images, which better expands the perceptual field. After that, a 1×1 convolution layer is applied to its final layer, thus reducing the number of channels to obtain a single-channel output mask. Then, we combine this single-channel output mask with the output obtained from the last layer of the first stage as the input of the second stage decision layer. Considering different types of sample data, we design two different decision network strategies, namely: plain-up sampling and dynamic-up sampling. Our experimental studies on several publicly available datasets show that the proposed approach is general and effective in detecting defects, and we only need a relatively small number of samples to train the model, which has a good applicability in industrial practice where the sample size is normally limited.
DGIC: A Distributed Graph Inference Computing Framework Suitable For Encoder-Decoder GNN

∗ A graph is a structure that can express the relationship between objects. The emergence of GNN enables deep learning to be applied in the field of graphs. However, most GNNs are trained offline and cannot be directly used in real-time monitoring scenarios such as financial risk control. In addition, due to the large scale of graph data, a single machine often cannot meet actual needs, and there are bottlenecks such as throughput performance. Therefore, we propose a distributed graph inference computing framework, which can be applied to Encoder-Decoder GNN models. We complete the adaptation of the model by disassembling the graph data and using the extension storage and dynamic invocation mechanism to solve the model invocation problem. For inference performance, we implement dynamic graph construction through incremental composition and decouple the inference process to apply to different scenarios, so that GNNs conforming to the Encoder-Decoder style can be applied to the framework. A large number of experiments show that this method has good timeliness while improving the throughput upper limit, and can maintain the model effect of multi-tasking.
A Novel Attack Methods For Inferring On Certain Url’s On Twitter

Twitter is a well-known online informal organization benefit for sharing short messages (tweets) among friends. Its clients regularly utilize URL shortening administrations that give (i) a short false name of a long URL for sharing it by means of tweets and (ii) open snap examination of shortened URLs. People in general snap examination is given in an amassed frame to save the protection of individual clients. In this, we propose functional assault systems construing who clicks which abbreviated URLs on Twitter utilizing the mix of open data: Twitter metadata and public click investigation. Not at all like the customary program history stealing attacks, have our attacks only demanded publicly available information given by Twitter and URL shortening services. Assessment comes about demonstrate that our assault can trade off Twitter clients' protection with high precision.
RNA-Protein Interactions in the Nuclei of Xenopus Oocytes:

The gene encoding ribosomal protein LI in Xenopus laevis is known to be posttranscriptionally regulated; the third intron can be processed from the pre-mRNA in two alternative ways, resulting either in the production of LI mRNA or in the release of a small nucleolar RNA (U16). The formation of splicing complexes was studied in vivo by oocyte microinjection. We show that spliceosome assembly is impaired on the Li third intron and that the low efficiency of the process is due to the presence of suboptimal consensus sequences. An analysis of heterogeneous nuclear ribonucleoprotein (hnRNP) distribution was also performed, revealing a distinct site for hnRNP C binding proximal to the 5' end of the LI third intron. Cleavage, leading to the production of the small nucleolar RNA U16, occurs in the same position, and we show that conditions under which hnRNP C binding is reduced result in an increase of the processing activity of the intron.
Impact de l'utilisation d'un plan de référence sur la robustesse de la planification tactique

Based on linear and linear integer programming techniques, Advanced Planning Systems (APS) enable the rescheduling of a tactical plan each time an event makes it necessary. This raises the problem that planning has certainly become more reactive but also instable, and hence might lead to a loss of robustness when taking decisions. This article presents a specific approach to tactical planning using APS systems. The main aims here are the robustness of the tactical plan and the stability of the decision parameters. The original feature in this article is the use of a “reference plan”. The difference between the plan calculated in period n and the “reference plan” is analysed, and if the deviation is not significant, the plan calculated in previous period is maintained
Geometric Parameterization of a Tetrapod-Shaped Structural Element

Two discoveries allow fundamentally diverse structural systems with hexagontype lattice to be offered for the synthesis of minimum mass and maximum stiffness constructions. The highest efficiency of both properties could be achieved using hexagon-type spatial rigid bar structures with tetrapod-shaped joints, referred to as superelements. Geometric parameterization, required for shape optimization as the chosen means for realising the task set, will be considered. The main tasks for defining the parameterization include exact definition of the geometry to be parameterized, choosing the most appropriate independent shape parameters and determination of the parameter constraints to adhere.
Evidence Based Library and Information

Objective – To determine whether there is a significant relationship between patients’ frequency of Internet use and their health care information and decision-making preferences. Design – Cross-sectional questionnaire survey. Settings – Undergraduate classes at a large state university and senior-oriented computer public libraries and Subjects – 438 Methods – Respondents were 7 types health