Miracle-dz/UniFAR-FTUs huggingface dataset:
Amplifying Nanoparticle Targeting Performance to Tumor via Diels–Alder Cycloaddition

Traditional targeting approach utilizing biological ligands has to face the problems of limited receptors and tumor heterogeneity. Herein, a two‐step tumor‐targeting and therapy strategy based on inverse electron‐demand [4+2] Diels–Alder cycloaddition (iEDDA) is described. Owing to the unique acidic tumor microenvironment, an intravenous injection of tetrazine modified pH (low) insertion peptide could efficiently target and incorporate onto various cell surfaces in tumor tissue, such as cancer cells, vascular endothelial cells, and tumor‐associated fibroblasts. The “receptor‐like” tetrazine groups with a large amount and homogeneous intratumoral distribution could then serve as the baits to greatly amplify the tumor‐targeting ability of indocyanine green (ICG)‐loaded and trans‐cyclooctene (TCO)‐conjugated human serum albumin (HSA) nanoparticles (TCO‐HSA‐ICG NPs) via iEDDA after the second intravenous injection. Compared with the passive enhanced permeability and retention (EPR) effect and traditional active targeting approaches, the targeting performance and photothermal therapeutic effect based on the two‐step strategy are significantly enhanced, while no notable toxicity is observed. As acidity is a characteristic of solid tumor, the two‐step strategy can serve as a universal and promising modality for safe and high‐performance nanoparticle‐based antitumor therapy.
Effect of intercropping aerobic rice with leafy vegetables on crop growth, yield and its economic efficiency

Aerobic rice production system provides a sustainable alternative to the traditional rice cultivation. To evaluate the agronomic and economic effect of intercropping aerobic rice with four leafy vegetables, field experiments were conducted at University of Agriculture Science Bangalore research station, India during 2017 and 2018. The experiments consisted of 9 treatments with 4 replications and, a Randomized Completely Block Design was applied. The treatments were as follows: Intercropping (IC1): rice+amaranth; IC2: rice + coriander; IC3: rice + spinach, and IC4: rice + fenugreek plus other 5 treatments of solecrops (SC), SC5: rice, SC6: amaranth, SC7: coriander, SC8: spinach, and SC9: fenugreek. Results showed that intercropping produced significantly better plant growth and higher yields than sole crops. The rice-spinach intercrop produced highest rice grain yield (7,651 kg ha-1), vegetable yield (25,508 kg ha-1), land equivalent ratio (2.13), rice equivalent yield (16,153 kg ha-1), production efficiency (107.69 kg day-1), area time equivalent ratio (1.23) and system harvest index (0.77). Net return and benefit cost ratio of rice-spinach intercropping were also higher than that of sole crops. This suggests that intercropping of aerobic rice with leafy vegetables can be productive and economically efficient. Key words: Aerobic rice, intercropping, leafy vegetables, productivity.
Tourism Destination Development Strategy Central Aceh

This paper discusses the Tourism Destination Development Strategy. In improving the tourism sector in an area, at least one has to develop the 3A concept (Attractions, Accessibility, and Amenities). The tourism sector is a mainstay for Central Aceh to be developed as a tourism destination because Central Aceh has attractions that can be developed into tourist attractions. The method used in this study using the Analytic Network Process (ANP) approach with the help of Super Decision software, by performing a synthesis analysis of problems, solutions, and strategies. The results of the respondents' answers indicated that the priority problems were infrastructure, attractiveness, and promotion problems. Meanwhile, the most priority solutions are solutions to improve infrastructure, namely transportation and travel, attraction, and promotion. And the most prioritized strategy is the improvement of infrastructure facilities and synergy.
Rhodomonas PE545 fluorescence is increased by glycerol

: Phycobilins are photosynthetic pigments found in three ecologically important groups of algae: cyanobacteria, red algae, and cryptophytes. These compounds are covalently attached to proteins, which can be technically difﬁcult to analyze compared with other photosynthetic pigments (e.g., chlorophylls and carotenoids). In this study, glycerol was demonstrated to uncouple PE545 (phycoerythrin 545), the phycobilin complex of Rhodomonas spp. , from its role as a light-harvesting pigment: the ﬂuorescence signal was increased 15–34 times, and ETR (electron transport rate) was no longer light-dependent at high light intensities. Glycerol induced ﬂuorescence provided a simple and inexpensive protocol to ascertain the pool size of autoﬂuorescent PE545 as well as total PE545 cell content in Rhodomonas . 20–30% glycerol was optimal for monitoring increased PE545 ﬂuorescence with a stable signal for at least 1 h after glycerol addition. A substantial portion of PE545 passed through different-sized ﬁlter pads in cells with added glycerol, which suggests that glycerol may facilitate extraction of this pigment-protein complex from R. salina , a process that can be difﬁcult under certain growth conditions. However, at high concentrations and / or after extended periods of contact, glycerol reduced recovery of PE545, suggesting destruction of the compound. In another approach, we found that PE545 can be recovered from acetone-extracted cells using low concentrations of SDS (sodium dodecyl sulfate) in low pH buffers. The ﬁnding provides samples for analyses of both chlorophylls and carotenoids in acetone and PE545 from the cell pellet. Rhodomonas spp. plays an important role in nature; hence methods presented here should help determine its natural abundance and distribution.
Lipid Profile in Postmenopausal Diabetic Female.

@ Nepalese Heart Journal. Nepalese Heart Journal retain copyright and works is simultaneously licensed under Creative Commons Attribution License CC – By 4.0 that allows others to share the work with an acknowledge of the work’s authorship and initial publication in this journal Introduction DOI: https://orcid.org/10.3126/njh.v18i1. 36784 Abstract Submitted Date: 25th November 2020 Accepted Date: 10th February 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning

Reinforcement learning (RL) requires access to a reward function that incentivizes the right behavior, but these are notoriously hard to specify for complex tasks. Preference-based RL provides an alternative: learning policies using a teacher's preferences without pre-defined rewards, thus overcoming concerns associated with reward engineering. However, it is difficult to quantify the progress in preference-based RL due to the lack of a commonly adopted benchmark. In this paper, we introduce B-Pref: a benchmark specially designed for preference-based RL. A key challenge with such a benchmark is providing the ability to evaluate candidate algorithms quickly, which makes relying on real human input for evaluation prohibitive. At the same time, simulating human input as giving perfect preferences for the ground truth reward function is unrealistic. B-Pref alleviates this by simulating teachers with a wide array of irrationalities, and proposes metrics not solely for performance but also for robustness to these potential irrationalities. We showcase the utility of B-Pref by using it to analyze algorithmic design choices, such as selecting informative queries, for state-of-the-art preference-based RL algorithms. We hope that B-Pref can serve as a common starting point to study preference-based RL more systematically. Source code is available at https://github.com/rll-research/B-Pref.
Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach

In many cases, the design process of a structural ceramic comminution plant typically consists of an ‘expert designer’ who makes decisions using intuitive criteria to select commercial equipment. This paper proposes a simulation-based optimization approach to help decision-making. The complexity of the problem lies in selecting the model and amount of equipment for each stage at the lowest cost while simultaneously satisfying a previously fixed production and granulometry. The proposed approach is based on a genetic algorithm to generate solutions and facilitate the optimization process, together with discrete simulation to evaluate the performance of the comminution process according to its service level. To evaluate the algorithm, different problems, whose parameters are based on the requirements of the ceramic industry, are solved and analyzed.
A Survey of Computer Graphics Facial Animation Methods: Comparing Traditional Approaches to Machine Learning Methods

A Survey of Computer Graphics Facial Animation Methods: Comparing Traditional Approaches to Machine Learning Methods Joseph Johnson Human communications rely on facial expression to denote mood, sentiment, and intent. Realistic facial animation of computer graphic models of human faces can be difficult to achieve as a result of the many details that must be approximated in generating believable facial expressions. Many theoretical approaches have been researched and implemented to create more and more accurate animations that can effectively portray human emotions. Even though many of these approaches are able to generate realistic looking expressions, they typically require a lot of artistic intervention to achieve a believable result. To reduce the intervention needed to create realistic facial animation, new approaches that utilize machine learning are being researched to reduce the amount of effort needed to generate believable facial animations. This survey paper summarizes over 20 research papers related to facial animation and compares the traditional animation approaches to newer machine learning methods as well as highlights the strengths, weaknesses, and use cases of each different approach.
PHARMACOKINETIC CHARACTERISTICS

The creation of medicines' fixed combinations from compounds with complementary effects is one of the most popular directions in modern pharmacology and pharmaceutics. In case of nifedipine and lidocaine fixed combination such approach is quite obvious. The present review article is devoted to the analysis of clinical and non-clinical studies results on the assessment of the pharmacokinetic characteristics of these medicines. Although the oral route is the most convenient for drug administration, there are a number of circumstances where this is not possible from either a clinical or pharmaceutical perspective. In these cases, the rectal route may represent a practical alternative and can be used to administer drugs for both local and systemic actions. Research data of last decades suggested that nifedipine, a calcium channel blocker, could be effective in reducing anal resting pressure and in healing chronic anal fissure and acute thrombosed hemorrhoids. Another component of fixed combination lidocaine is a local anesthetic usually used to relieve pain of anal fissures and symptomatic hemorrhoids. In combinations lidocaine and nifedipine have complementary actions. Analysis of all available studies (during last 2 decades) which were aimed to investigate pharmacokinetic characteristics of a nifedipine and lidocaine fixed combination in the form of rectal cream showed that following topical application, the active ingredients nifedipine and lidocaine are absorbed into the bloodstream in only small quantities that have no major implications for the safety of the product, and systemic absorption, if any, was incomparably lower than absorption following per os administration of the two active ingredients.
African Immigrant Entrepreneurship in the UK: The Hidden Hand of Family Influence on Entrepreneurial Orientation

The importance of ethnic minority businesses (EMBs) has been lauded in the entrepreneurship discourse. Building on entrepreneurial orientation theory, this study seeks to understand family influence on the entrepreneurial processes, practices, and decision-making activities in a relatively under-explored social group. The methodological approach in this study involved inHarvard Deusto Business Research African Immigrant Entrepreneurship in the UK: The Hidden Hand of Family Influence on Entrepreneurial Orientation
Regional determinants of Hungarian wine prices: The role of geographical indications, objective quality and individual reputation

Analysing the determinants of wine prices has always been a fi eld of interest in the wine economics literature. By estimating hedonic price functions, however, most papers generally remain at the country level with regions generally neglected or treated as simple dummy variables. Th e aim of this paper is to analyse the determinants of wine prices at the regional level by using Latent Variable Path Modelling with Partial Least Squares and Principal Component Analysis on the example of Hungarian wines. Th is approach is able to capture the regional specialties of wine production and provides a better insight into price determination. Results suggest that intrinsic values play a major but ambiguous role in determining regional wine prices, especially in the case of sugar content. It also becomes apparent that specifi c Geographical Indications (GIs) play a crucial role in price determination, instead of GI use per se. Moreover, individual brands also have an important role, as Tier1 and Tier2 wineries tend to sell their wines at higher prices and in smaller batch sizes.
Secular Labor Reallocation

We revisit an old question: does industry labor reallocation affect the business cycle? Our empirical methodology exploits variation in a local labor market’s exposure to industry reallocation on the basis of the area’s initial industry composition and national industry employment trends for identification. Applied to confidential employment data over 1980–2014, we find sharp evidence of reallocation contributing to higher local area unemployment if it occurs during a national recession but little difference in outcomes during an expansion. A multiarea, multisector search-and-matching model with imperfect mobility across industries and downward nominal wage rigidity can reproduce these cross-sectional patterns.
Identification of electro-hydraulic load-sensing servo system

The paper presents the results of the identification procedure for obtaining a model of an electrohydraulic load-sensing servo position system for power steering of mobile machinery. The studied system consists of an axial-piston variable displacement pump that supplies the load-sensing electro-hydraulic power steering system. The pump is equipped with a hydro-mechanical pressure controller type DR, which makes it possible to realize a meter-in flow control circuit with the load-sensing function. When the external resistance force acting on the cylinder piston increases, the pump controller limits the displacement volume, and hence the flow rate supplied to the system. The purpose of the identification is to reach a linear state-space model that accurately describes the dynamic behaviour of the system. The system is represented with one input and two outputs. The output signals are measurable variables: the spool position in the proportional valve and the piston position of the servo cylinder. To evaluate the parameters of the model, open-loop experiments were performed with the studied system, which was realized on a laboratory test rig. The input signal for identification experiment is a random binary signal (RBS) to achieve good excitation of the plant. Validation of the model obtained has been carried out based on independent data-set. The aim of the present work is to reach a model that is suitable for the design of embedded controllers for the electro-hydraulic load-sensing servo systems.
A Cross-Immunity between SARS-CoV-2 and MERS-CoV: Interest in Anti-SARS-CoV-2 Serotherapy Development Using Dromedary Serum

Backgrounds: A potential cross-immunity between SARS-CoV-2 and MERS-CoV could lead to the development of a serodiagnostic test and/or serotherapy against SARS-CoV-2 using dromedary camel anti MERS-CoV serum. Materials & Methods: Epidemiological and 66 literature data, of which 35 have been published during 2015-2021, and findings were analysed. Findings: According to the statistical data reported during COVID-19 pandemic, there are less cases and deaths associated with COVID-19 in countries known for dromedary breeding and the circulation of MERS-CoV (another betacoronavirus disease transmitted by dromedary camels) among humans and dromedaries. This observation and the similarity in genome and immunopathogenicity between SARS-CoV-2 and MERS-CoV, suggest that individuals who have been in contact with MERS-CoV infected dromedaries and/or consumed their products (milk, meat, urine) might have acquired an immunity protecting them against SARS-CoV-2. In addition to neutralizing antibodies, this immunity could also be due to complement proteins, chemokines, and especially antimicrobial peptides (AMP), known for their effect on enveloped viruses. Conclusion: Most research has focused on vaccines as a solution to stop the pandemic, while serotherapy hasn’t significantly aroused the interest of researchers. This potential cross-immunity between SARS-CoV-2 and MERS-CoV could lead to the development of a serodiagnostic test and/or serotherapy against SARS-CoV-2 using dromedary camel anti MERS-CoV serum. © 2021, TMU Press.
Monte Carlo test for stochastic trend in linear structural models for the location-scale family

In linear structural models for time series, a key point is the decision between modeling the trend of non-stationary processes through a deterministic or a stochastic term. The present paper introduces a Monte Carlo hypothesis test procedure to guide in such a decision. The method works for any time series distribution belonging to the location-scale family, where the analytical shape of the distribution must be defined by the user prior to apply the method. The proposed method provides an alpha-level test for any time series of length greater than 3 and it does not demand assumptions on the distribution of the trend term when it is actually stochastic.
Vocabulary Size of University of Aden English Language Students

This research paper tried to evaluate English students' vocabulary size by using Nation Vocabulary size tests (VST). The study used a sample of the third level students at the English-Faculty department of Education-Aden at the University of Aden in three categories according to their academic achievement in the class (High =80-100, Medium= 70-79.99 and Low =less than 69.99). The researcher used Nation and Beglar (2007) (14000) vocabulary size test to measure the vocabulary size. Based on the analysis of students’ correct answers in the VST, the study found that students' vocabulary size ranges between 1000-8000 words with variant percentages. It was found that (80%) of third level students’ vocabulary size (high 08-100 and medium 70-79.99) is in the range (10003000), (76%) of third level students’ vocabulary size (high 08-100) is in the range (1000-5000) and (51%) are in the range (1000-8000). The study found that (59%) of third level students (medium 70-79.99) are in the range (10005000) and (40%) of them are in the range (1000-8000). The third level students (low, less than 69.99) recorded the lowest size by (50%) in the range (10003000), (41%) in the range (1000-5000) and only (21%) are in the range (10008000). Considering the total word size of the three categories together, the study found that (70%) are in the range (1000-3000), (59%) range in the range (10005000), and (37%) are in the range (1000-8000).
Abstrak: Penelitian ini dilakukan bertujuan untuk mengetahui pengaruh Independensi, Pengalaman Kerja dan Etika Profesi Auditor terhadap kualitas audit pada KAP Jakarta Pusat. Strategi penelitian yang digunakan adalah asosiatif/kausatif. Metode penelitian yang

This research was conducted to determine the effect of independence, work experience and professional ethics of auditors at KAP Jakarta Pusat. The research strategy used is associative / causative. The research method used was a survey. The population in this study were auditors at Central Jakarta KAP, while the sample in this study were 128 auditors at KAP Jakarta Pusat who were determined by purposive sampling technique. The data analysis used was descriptive data, validity and reliability test, classical assumption test, multiple linear regression analysis, determination coefficient analysis and hypothesis testing using SPSS 22.0 program. The results showed: 1) Independence has a positive and significant effect on audit quality at the Central Jakarta Public Accountant Firm, the better the auditor independence, the better the audit quality, 2) Work experience does not affect audit quality, meaning that the work experience of the auditor will not affect the results of the audit itself, 3) Professional ethics have a positive and significant effect on audit quality at KAP in Central Jakarta, the better professional ethics the auditor has, the better the resulting audit quality.
Machine Learning Application in Genomic, Exercise, and Vital Datasets

Data processing speed is increasing as computer performance improves, and big data is accumulating as storage space is expanded. With the development of cloud computing and wireless communication networks, it is now possible to collect data from a variety of sources [1]. Machine learning (ML) libraries are being developed to provide accurate insights obtained from various types of big data [2]. These data contain various types of vital data, and it is now time to discuss how to use the collected vital data [3,4]. In this paper, we discuss how these data can be used in participatory medicine and what methods are available. Currently, there is a favorable environment for acquiring and utilizing vital big data. Wearable devices and open genomic databases can easily and quickly collect and use vital big data. Wearable devices are electronic devices with microcontrollers that can be implanted into clothing or worn as accessories on the human body. Wearable devices have sensors that detect human vital data and then send it to other devices. To date, a large amount of vital data has been gathered [5,6]. Genomic information can be generated using next-generation sequencing (NGS) methods. Various NGS machines, such as whole-genome sequencing (WGS), RNA-sequencing (RNA-seq), and Methyl-seORIGINAL ARTICLE REVIEW ISSN(Print) : 1226-1726 ISSN(Online) : 2384-0544