Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemically Stable, Strongly Adhesive Sealant Patch for Intestinal Anastomotic Leakage Prevention

Intestinal anastomotic leaking, which involves the discharge of chemically aggressive, non‐sterile fluids into the abdomen, remains one of the most dreaded postoperative complications of abdominal surgery. Depending on the site and the patient condition, incidence ranging between 4% and 21% and mortality rates up to 27% are reported. Currently available surgical sealants only poorly address the issue, especially since most commonly used fibrin glues fail due to insufficient adhesion and chemical instability. Here, a chemically highly resistive, leak‐tight, and mucoadhesive hydrogel sealant, which is grafted on the surface of the intestinal wall using a mutually interpenetrating network that traverses hydrogel and tissue is presented. In contrast to clinically used fibrin‐based sealants (including Tachosil), the developed adhesive poly(acrylamide‐methyl acrylate‐acrylic acid) patch does not degrade and exhibits strong tissue adhesion even when exposed to intestinal fluid. The biocompatible hydrogel patch effectively seals anastomotic leaks in ex vivo intestinal models, greatly surpassing commercial sealants (time to patch‐failure >24 h compared to 5 min for commonly used Tachosil). Importantly, the developed adhesive patch paves the way for the application of both mechanically and chemically robust sealants suitable for the treatment and prevention of intestinal leaks.
Investigation of the Tribological Behavior of Mineral Lubricant Using Copper Oxide Nano Additives

In this study, tribological properties of custom formulated and stabilized nano lubricant are investigated. Spherical CuO nanoparticles are suspended in 20W-50 mineral base lubricant using Oleic Acid (OA) as a surfactant. Three different nano lubricant concentrations with 0.2, 0.5, and 1 wt. % were analyzed through ASTM G-99 pin-on-disc tribometer standardized test under boundary/mixed lubrication regimes. The generated friction and wear analyses confirm a consolidation of tribological properties with a reduction in friction coefficient in the range of 14.59–42.92%, compared with the base lubricant. Analysis of worn surfaces (SEM/EDX) as well as (AFM) was conducted. Combined hypotheses were proposed from the analysis of worn surfaces; these hypotheses suggested that CuO nanoparticles exhibit an integrated effect of two phenomenal lubrication mechanisms. Additionally, dispersion stability evaluation of the suspended nanoparticles was performed through Zeta potential, (FTIR), and sedimentation analyses. Stability results showed that steric stabilization is the dominating effect of the repulsive forces between nanoparticles, surpassing the electrostatic repulsive forces.
Have Sustainable Development Goal Depictions Functioned as a Nudge for the Younger Generation before and during the COVID-19 Outbreak?

Sustainable Development Goals (SDGs) and their corresponding logos have become ubiquitous in Japan. While not legally binding, they allow us to choose how to contribute or not to the SDGs. Considering that SDGs share characteristics with nudges, we investigated whether SDGs, with their term and logos, have functioned as a nudge before and during the COVID-19 outbreak. Using Japan as a case study, we analyzed newspaper articles to explore how the term SDGs has spread before and during the outbreak. We also conducted a questionnaire among college students (n = 421) to explore how exposure to the term or its logos has steered the behavior of the younger generation toward SDGs. Our analysis revealed that the use of the term in newspaper articles has rapidly increased and spread across newspaper sections, whereas the COVID-19 outbreak has slowed its spread. The results showed that 68.9% of the respondents were familiar with the term or logos. Of these, 25.4% had changed their behavior toward SDGs. Surprisingly, COVID-19 has had a rather positive influence as a catalyst in that more respondents have overall become more proactive or maintained previous behaviors (28.3%). This indicates that COVID-19 may be an opportunity to make a shift toward a more sustainable society.
Microbial community and metabolic function analysis of cigar tobacco leaves during fermentation

Cigar tobacco leaves (CTLs) contain abundant bacteria and fungi that are vital to leaf quality during fermentation. In this study, artificial fermentation was used for the fermentation of CTLs since it was more controllable and efficient than natural aging. The bacterial and fungal community structure and composition in unfermented and fermented CTLs were determined to understand the effects of microbes on the characteristics of CTLs during artificial fermentation. The relationship between the chemical contents and alterations in the microbial composition was evaluated, and the functions of bacteria and fungi in fermented CTLs were predicted to determine the possible metabolic pathways. After artificial fermentation, the bacterial and fungal community structure significantly changed in CTLs. The total nitrate and nicotine contents were most readily affected by the bacterial and fungal communities, respectively. FAPROTAX software predictions of the bacterial community revealed increases in functions related to compound transformation after fermentation. FUNGuild predictions of the fungal community revealed an increase in the content of saprotrophic fungi after fermentation. These data provide information regarding the artificial fermentation mechanism of CTLs and will inform safety and quality improvements.
Underwater real-time target detection based on key frame and model compression

In order to improve the speed and keep high accuracy of UUVs object detection on embedded device. This paper proposes an acceleration strategy based on key frame extraction and model compression. Firstly, selecting shipwreck as target and creating a real-world underwater image dataset of the shipwreck. And this work applies both online and offline data augmentation to accelerate the model convergence and to improve the model generalization. Then, this paper builds a fusion algorithm with structural similarity, color histogram and image entropy to select the key frame of the captured video for removing the redundant information, and analyzing the reason for the complexity of the neural network and the method of model compression. Finally, this work cuts off unimportant structure of network based on channel and layer pruning to reduce model complexity and keeps the model with high accuracy by fine-tuning. The experiment shows the Billion Floating Operations of the compressed YOLOV4 model is reduced to 15.778. On the Nvidia Jetson TX2 embedded image processor, the average detection speed for video with 608 × 608 resolution can reach 15.12FPS. And the detection speed of the video composed of key frames is 2.98 times faster than the raw video.
Fe3O4@PDA Immobilized glycerine dehydrogenase

Synthesis of surface modified/magnetic nanoparticles has become a vital research area of material science. In the present work, iron oxide (Fe3O4) nanoparticles prepared by solvo-thermal method were functionalized by polydopamine, which was as a facile nanoplatform for immobilizing glycerine dehydrogenase (GDH). The obtained nanocatalyst enabled efficient glycerol dehydrogenation reaction. The results show that GDH immobilized on polydopamine coated iron oxide (Fe3O4@PDA@GDH) revealed better adoptability towards higher levels of pH comparative. Moreover, this biocatalyst can be easily recovered from the reaction system without centrifugation or filtration.
Enhancing the value co-creation process: artificial intelligence and mobile banking service platforms

Purpose The purpose of this study is to investigate the relationships that influence the value co-creation process and lead to consumer comfort with artificial intelligence (AI) and mobile banking (AIMB) service platforms. Design/methodology/approach A conceptual model was developed to investigate the value-in-use perceptions of AI-based mobile banking applications via five antecedents: baseline perceptions of current bank service delivery; service delivery configuration benefits; general data security; safety perceptions of specific mobile banking services; and perceptions of AI service delivery. Data were collected from 218 respondents and analyzed using structural equation modeling. Findings This study highlights the role and importance of the sequential relationships that impact the assessment of AIMB. The findings suggest that service delivery and the customer’s role in value co-creation change as AI is introduced into a digital self-service technology channel. Furthermore, AIMB offers transaction-oriented (utilitarian) value propositions more so than relationship-oriented (hedonic) value propositions. Research limitations/implications The sample consisted on digital natives. Additional age cohorts are needed. Practical implications As financial institutions redirect their business models toward digital self-service technology channels, the need for customers to feel comfortable while interacting with an AI agent will be critical for enhancing the customer experience and firm performance. Originality/value The authors extend the service-dominant logic (SDL) literature by showing that value co-creation is a function of both firms’ technologies and consumers’ value-in-use, a finding that appears to be unique in the literature. The authors advance the digital transformation literature by evaluating AIMB as an interactive process that requires an understanding of key technology constructs, including perceptions of baseline service relationships, desired service configurations, security and safety issues and whether AI is useful for value co-creation. To the best of the authors’ knowledge, this is the first SDL framework that investigates interactive and structural relationships to explain value-in-use perceptions of AIMB.
STABILITY INDICATING METHOD DEVELOPMENT AND VALIDATION OF FIMASARTAN BY REVERSE-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY IN BULK AND PHARMACEUTICAL DOSAGE FORM

Objective: A rapid, sensitive and specific reverse phase High performance liquid Chromatography (RP-HPLC) method was developed for the estimation of Fimasartan in bulk and pharmaceutical dosage form. Method: The RP-HPLC analysis was performed isocratically on a Primacel C18 column (150 mm × 4.6 mm internal diameter, 5 μm particle size) using mobile phase of composition Acetonitrile and 0.1% orthophosphoric Acid in 80:20, v/v proportions with a flow rate of 0.8 ml/min. Results: The analyte was monitered with UV-detector at 265 nm. In the developed method Fimasartan elutes at a typical retention time of 2.4 min. The proposed method is having linearity in the concentration ranging from 5-30 μg/ml of Fimasartan. Conclusion: : The method was statistically validated and had been applied to analysis of the drug in bulk and pharmaceutical dosage form.
L’infrastructure verte dans l’aire urbaine de Montréal: la multifonctionnalité des espaces végétalisés en question

Depuis une dizaine d’annees, on observe un engouement croissant des chercheurs pour les infrastructures vertes dans l’optique d’ameliorer la qualite de vie des habitants, notamment en identifiant les services ecosystemiques. Cette mise en reseau des espaces vegetalises urbains permet egalement d’augmenter leurs resiliences face a des perturbations (especes invasives, degradations des habitats, mauvaises pratiques de gestions, brassage genetique insuffisant, etc.). Cette multifonctionnalite des espaces vegetalises sera interrogee dans l’agglomeration montrealaise. Le paysage vegetal sera pris en compte a travers sa qualite ecologique et les usages que les urbains en font. Ce paysage vegetal est mobilise grâce a des cartes des formations vegetales identifiees par leurs especes dominantes, ce qui permet une approche plus fine que la plupart des recherches sur les infrastructures vertes par images satellites. Une evaluation criteriee nous permettra d’estimer la qualite ecologique et l’interet social des espaces vegetalises selon leurs situations dans l’espace urbain. De plus, Montreal s’est dote d’un outil d’amenagement qui correspond aux definitions d’une infrastructure verte, les ecoterritoires. Les opportunites de developpement d’une infrastructure verte seront comparees a la disposition des ecoterritoires, dans la perspective d’evaluer leurs potentiels.
Consumer Behavior Intentions to Purchase Daily Needs through Online Store Channel

The inception of the 4.0 industrial era led to the evolution of internet information technology, which significantly changed the business sector’s marketing, transaction, and payment systems into online stores. This new marketplace is an important business infrastructure used to develop marketing strategies in this technological era. Therefore, it enables companies or enterprises, including those in the retail sector, to remotely sell daily products, such as cooking needs, foods, snacks, beverages, toiletries, and laundries through various online platforms. Furthermore, these companies need to creatively and anticipatively participate in the various trading competition by having an online shopping channel. This study aims to measure consumer behavior intention in using the online store channel to purchase daily needs products in order to determine the influence of convenience and risk transactions on behavioral intentions. Data were obtained from respondents that consistently make use of online stores channel. The result showed that consumers’ ease and convenience during transactions, especially in terms of payment and delivery service, have a positive and significant effect on their attitude and behavioral intention to use online store channel to purchase daily needs products.
Hair-Growth-Promoting Effects of Fermented Red Ginseng Marc and Traditional Polyherb Formula in C57BL/6 Mice

An abnormal hair-growth cycle induces hair loss, which affects psychological distress and impairs life quality. Red ginseng marc (RGM) is usually discarded as a byproduct after extracting red ginseng, but several studies have shown that the RGM still has bioactive components including ginsenosides. Therefore, the hair-growth effects of fermented RGM (fRGM) and traditional polyherb formula (PH) were examined in C57BL/6 mice. The dorsal hairs of mice were depilated, and they were topically treated with fRGM or PH at 400, 200 and 100 mg/kg or the combination of both middle doses (combi) once a day for two weeks. The hair-covering regions were significantly increased with higher doses of fRGM and PH and in combi groups, compared with the control treated with distilled water. Hair length, thickness and weight also increased in the treatment groups. In particular, the fRGM and PH increased the anagen-phased hair follicles, the follicular diameters and the dermal thickness. Immunostains for Ki-67 showed the anagen-phased cell division in the treatment groups. The beneficial effects were greater in the high doses of fRGM and PH and the combi groups. These suggest hair-growth-promoting effects of fRGM, PH and the combination by enhancing the hair-growth cycle.
Modelo de ranqueamento empresarial para análise da relevância das empresas no setor de florestas plantadas

O setor florestal está em constante desenvolvimento, sendo responsável por uma contribuição crescente ao produto interno bruto do Brasil. Novos empregos são gerados a cada ano, com a implantação de fábricas e filiais, além da compra de novas áreas de plantio por parte das grandes empresas, incluindo áreas de proteção permanente. O objetivo desse trabalho foi gerar um modelo de ranqueamento para determinar a influência e importância das empresas para o setor florestal e industrial do país. Foram analisados os perfis de mais de 40 empresas do ramo, associadas da Indústria Brasileira de Árvores, sendo selecionadas 20, com base no faturamento anual, área de plantio, área de proteção, geração de empregos e investimento social. Cada um dos critérios recebeu uma pontuação (variação de 1 a 20). Dessa forma, obteve-se uma matriz de ranqueamento empresarial do setor florestal brasileiro, juntamente com valores para se calcular o índice de eficiência. Este modelo pode ser utilizado para qualquer outro setor industrial, sendo necessária apenas à substituição dos critérios de área plantada e área preservada para os específicos de produção do setor que se pretende analisar.
The Effect Of Competence, Job Stress And Perceived Organizational Support On Employee Performance With Organizational Commitments As Intervening Variables

This study aims to analyze the effect of Competence, Job Sress, and Perceptual Organizational Support on Performance with Organizational Commitment as an Intervening Variable on Tanjungpinang City government employees. This type of research is associative causality. This research was conducted using a survey method by distributing questionnaires from government agencies in the Tanjungpinang City Government. The population of this study was all Regional Apparatus Organizations in Tanjungpinang City Government, totaling 31 Regional Apparatus Organizations, consisting of 97 sample respondents including the Head of Financial Subdivision, Head of Program Subdivision, Program Subdivision Secretary, Secretary, Development and Development Division of Control Programs in the Planning Agency, Development, Research and Development of Tanjungpinang City, and Inspectorate auditors. Data analysis methods used are descriptive statistical analysis and Partial Least Square (SEM-PLS) analysis. The results of this study indicate that competence has a significant effect on performance, work stress and perceived organizational support has no significant effect on performance. Competence does not significantly influence organizational commitment. Job stress and perceived organizational support have a significant effect on organizational commitment. Organizational commitment has no significant effect on performance. Indirectly, organizational commitment mediates the relationship of competence and organizational support, but does not mediate the relationship between work stress and performance Keywords​: Competence, Job Stress, Perceived Organizational Support, Organizational Commitment, Employee Performance Copyright © 2021 IAIC All rights reserved.
Antioxidant Activity and Total Phenolic Content from Aerial Parts of Three Cuscuta Species

Abstract Polyphenolic compounds, total phenolic content (TPC) and antioxidant activity from aerial parts of three Iranian species of Cuscuta (C. campestris, C. monogyna and C. approximata) were examined by using HPLC analysis, microplate reader and DPPH microplate method. The HPLC analysis revealed the presence of various compounds in Cuscuta species. HPLC/DAD chromatograms recorded at 280 and 320 nm confirmed the presence of eleven contents as the main compounds in plants extract. The highest concentration of phenolic compounds was found in C. monogyna and C. approximata, respectively. TPC of plant methanolic extracts were determined. The dilute methanolic extracts of C. approximata and C. monogyna had the highest total phenolic (56.67 mg/g and 49.59 mg/g), respectively. The highest antioxidant potential plants were C. monogyna and C. approximata, respectively. This study confirms the potential of antioxidant activity of Cuscuta extract in which is correlated to its phenolic content.
Identification of electrical impedance correlation using interdigital transducer (IDT) electrode and blood glucose by giving variations of sugar concentration to male mice

The electrical impedance depends on the frequency and material with the specific frequency using a Bioelectrical Impedance Spectrometer (BIS), a material detection using an Interdigital Transducer (IDT) electrode, and data process using software Data Acquisition (DAQ). The current electricity used in this tool is AC. The purpose is to identify the electrical impedance correlation to glucose, the effect of natural sugar on male mice’s blood, and identify impedance values in glucose conditions. The method is grouping the mice because they were given a variety of drinks for 1 month. The tails of mice were cut for blood and tested. Data stored using Microsoft Excel, Bode, and Nyquist plots of data stored in the form of images. Data processing using Ms. Excel. The results are glucose value generated from this study was normal. So far nothing significant has been found. The conclusion is that there is no discovery between electrical impedance and glucose in this study, due to several factors such as time, human error, measuring instruments, and the environment. Other animal factors are the effects of metabolism, lifestyle, size, body weight, and undetected disease. This study concludes that the value of glucose produced by each animal is different.
Motive zum Sporttreiben im Hochschulkontext: Welche Rolle spielen Geschlecht, Alter, BMI und Fitness?

Zusammenfassung Im vorliegenden Beitrag werden der Zusammenhang von Geschlecht, Alter, BMI und Fitness sowie die individuellen Beweggründe von Universitätsangehörigen zur Teilnahme an Sportaktivitäten ermittelt. Die Erfassung der Sportmotive wurde mit dem Berner Motiv- und Zielinventar im Freizeit- und Gesundheitssport durchgeführt. Es nahmen insgesamt N = 1336 Universitätsangehörige an einer Online-Befragung teil. Die Ergebnisse zeigen, dass Universitätsangehörigen der Motivbereich Fitness / Gesundheit am wichtigsten ist, gefolgt von Aktivierung / Freude. Den geringsten Stellenwert hat das Motiv Wettkampf / Leistung. Weiterhin lassen sich signifikante Unterschiede zwischen den Geschlechts-, Alters-, BMI- und Fitnessgruppen in Bezug auf die Bewertung der Motivbereiche erkennen. Bei den Frauen dominieren die Motivbereiche Figur / Aussehen und Aktivierung / Freude, wohingegen sich bei den Männern signifikant höhere Werte bei Kontakt sowie Wettkampf / Leistung zeigen. Der Motivbereich Fitness / Gesundheit gewinnt mit zunehmendem Alter an Bedeutung, wohingegen der Stellenwert der Motive Wettkampf / Leistung sowie Ablenkung / Katharsis abnimmt. Für die BMI-Gruppen gewinnt das Motiv Figur / Aussehen mit steigendem BMI-Wert an Wichtigkeit. Die Fitnessgruppen bemessen Wettkampf / Leistung mit zunehmendem Fitnessstatus einem höheren Stellenwert, wobei Figur / Aussehen an Bedeutung verliert. Insgesamt deuten die Ergebnisse dieser Studie an, dass es sinnvoll erscheint, die unterschiedlichen Motivausprägungen bei der Planung und Durchführung eines Bewegungsangebotes zu berücksichtigen. Es wird vorgeschlagen, Parallelangebote zu erstellen, die sich hinsichtlich der inhaltlichen Schwerpunkte unterscheiden und damit das Spektrum der Motivausprägungen auffangen können.
A responsiveness model for privacy conservation against antagonist and fake user in cyber- physical and online social networks

The enormous numbers of users are interacted with Social networking sites throughout the world. They are consistently engaging with Social Medias are Twitter, Instagram and Facebook have an incredible impression and rarely objectionable consequences for daily life. Recently, the detection of spammers and identification of fake users on Twitter has become a common area of research in contemporary online social Networks (OSNs). This paper proposes to perform a review of techniques used for detecting spammers on social media like Twitter, Facebook, Instagram, etc. Furthermore, a taxonomy of alerting spam message methodologies is presented that classifies the techniques based on their ability to detect: fake content, spam message or junk mail depends on either url or trendy news, and identifying unauthenticated users. The proposed techniques are also compared based on historical features that comprise the characteristics of user profile, wish-list, content usage, methodology used, and physical context, logging activities. This research paper contributes the study on identifying appropriate users against fake users and spam or junk mail detection using Adversary-Privacy evaluation model that helpful to preserving private data in Cyber-Physical Social Systems.