Miracle-dz/UniFAR-FTUs huggingface dataset:
A SIAN J OURNAL OF C HEMISTRY A SIAN J OURNAL OF C HEMISTRY Evaluation Performance of Molecularly Imprinted Polymer Prepared by Two Different Polymerization Method for Atenolol Recognition in Human Plasma

Two molecularly imprinted polymers (MIPs) were prepared via bulk polymerizations and precipitation polymerization with methacrylic acid as functional monomer, atenolol as the template, ethylene glycol di-methacrylate as a crosslinker. Molecularly imprinted polymer prepared via precipitation polymerization gives the best character as sorbent by a higher number of binding site and higher association constant compared to bulk. Plasma sample which was spiked with atenolol gives recovery more than 96 % after pretreatment with selected polymer. Selectivity test showed that MIP made by precipitation polymerization could be used for selective recognition of atenolol from plasma samples spiked with other drugs. This developed molecularly imprinted polymer-solid phase extraction (MIP-SPE) could be further used as extraction method in antihypertension drug analysis from biological samples.
Weather Shocks and Planting Stage Investments: Evidence from Niger

Abstract The dependence of rainfed agriculture on weather shocks means that managing risk is an important preoccupation of smallholders in Niger. In the absence of objective probabilities that can be attached to rainfall conditions, farmers formulate their own beliefs about uncertain outcomes. The role that these beliefs play in household decision making, and thus the potential gains associated with more skilled forecasts, is not yet well understood. In the current paper, we aim to fill this gap in the literature. In what follows we lay out an inter-temporal model of farm household decision making and apply this to recent survey data of rural households in Niger to shed light on whether and to what extent household behavior regarding investments in risky inputs is affected by expected rainfall conditions. We find that a farmer’s belief that rainfall conditions are favorable is associated with more spending on risky inputs and that returns to input use are higher when we control for the bias induced by omitting household decision-making on input use from the production process. Our results suggest that there is potential for weather information to induce profit-maximizing behavior of risk-averse farmers.
Effectiveness of interventions to shift drivers of roving banditry and reduce illegal fishing by Vietnamese blue boats

Illegal fishing via roving banditry, or fishing illegally in other countries’ territorial waters, continues to threaten the security, sustainability, and biodiversity of global marine resources. Yet, little is known about the behavioral drivers of banditry, and whether interventions can shift these. We address this critical knowledge gap by quantitatively surveying 82 fishers in two known port havens (Da Nang and Sa Ky, central Vietnam) for roving banditry by Vietnamese “blue boats,” before and after interventions aimed at reducing illegal fishing. We present three key findings: (1) displacement from the South China Sea and degraded local resources were primary behavioral drivers, (2) interventions increased perceptions of risk and shame if apprehended, and (3) the source of bail money (i.e., family vs. business) was highly predictive of whether fishers saw punishment as an adequate deterrent to illegal fishing. Lastly, we discuss the implications of these findings for regional policy and management strategies.
Single Nucleotide Polymorphism in the gene rpoB Mycobacterium tuberculosis from Papua-Indonesia and Its Impact on Rifampicin Resistance: A Whole-Genome Sequencing Analysis

In the antibiotic era, Tuberculosis (TB) drug resistance, especially Rifampicin (RIF), is highly reported around the world. Resistance of RIF is caused by the mutation of genes associated with the RIF receptor. The aims of this study are detecting the Single Nucleotide Polymorphism of Rifampicin resistant genes using Whole-Genome Sequencing (WGS) and analyzing the profile of protein changes caused by SNP. Twenty Mycobacterium tuberculosis culture samples were passed on the WGS procedure and 19 samples were adequate to further bioinformatics analysis. Single Nucleotide Polymorphisms Analysis was performed using TBprofiler. Based on TBProfiler, seventeen samples were resistant to rifampicin. The mutations that cause the resistance are S456L, D441Y, H451Y, 436P, Q438K. Other Single Nucleotide Polymorphisms H841R, V540M, and R230C were also found. The H841R mutants are present together with the S456L, V540M with S456L mutants, and R230C with Q438K mutants. Native protein for RNA Polymerase Subunit β used was the result of separation from the crystal structure of H37Rv RNA polymerase (PDB: 5UHB). Binding affinity RIF to RNA Mycobacterium tuberculosis Polymerase Subunit using AutoDock vina. Construction of mutant 3D structures using FoldX5. From β calculated the analysis, seventeen samples were resistant to RIF and two samples did not contain SNP which could cause resistance to RIF.
Excision of Lower Lip Mucocele Using Injection of Hydrocolloid Dental Impression Material in a Pediatric Patient: A Case Report

Oral mucocele is a benign cystic exophytic lesion affecting the minor salivary gland and is especially present in pediatric patients (3% under 14 years). It is characterized by an extravasation or retention of fluid or mucus in the submucosal tissue of the minor salivary glands. Several surgical techniques have been proposed over the years, including the excision of the mucocele by using the injection of a hydrocolloid impression material in the light of the cyst to prevent the collapse of the cystic wall and solidify the lesion, resulting in a better cleavage plan. The combined clinical approach between the combination of Shira’s technique and the surgical excision of the cystic lesion results in a conservative surgical removal of the lesion. Here, we reported the removal of a labial mucocele in a 14-year-old male patient, using the injection of a hydrocolloid impression material. At a 12 months follow up, the patient showed complete healing of the surgical site, showing a pinkish lip lining mucosa without scarring or recurrence of the primary lesion. The combined therapeutic approach between Shira’s technique and surgical excision allows a safe and predictable excision of the labial mucocele, minimizing the risk of recurrence.
Evaluation of transtrochanteric rotational osteotomy for avascular necrosis of hip: a case series

Osteonecrosis, also referred to as avascular necrosis (AVN), aseptic necrosis and ischemic necrosis, is not a specific disease but rather a condition in which a circumscribed area of bone becomes necrotic as a result of a loss of its blood supply. The femoral head is the site most often affected and its frequent cause is a displaced fracture through the femoral neck. This is a case-series study that has been done on 9 patients (10 hips) with clinical and radiological evidence of osteonecrosis of head of femur. After treatment patients were followed clinically and radiographically at 1 to 3 months intervals during first year after the operation and at 3 to 6 months intervals thereafter. Out of 9 study subjects, 7 (77.7%) were male and 2 (22.2%) were female. Mean age was 40±7.5. Among 7 (70%) hips, canulated cancellous screws were used and dynamic hip screw were used in 3 (30%) hips. Majority of the cases, 4 (40%) had more than 2 mm of progressive collapse of transported intact area in their latest follow up. Transtrochanteric rotational osteotomy procedure is valuable and needs to be tried by new genre of orthopedician as it helps in clinical improvement of patient and might also delay the necessity for total hip arthroplasty.
Preparation of An scFv-Based Immunoliposome Specific towards Transferrin Receptor

An ideal therapeutic for cancer would be one that selectively targets to tumor cells, is nontoxic to normal cells, and that could be systemically delivered, thereby reaching metastases as well as primary tumor. Immunoliposomes directed by monoclonal antibody or its fragments are promising vehicles for tumor targeted drug delivery. Transferrin receptors (TfR) levels are elevated in various types of cancer cells and considered to correlate with the aggressive or proliferative ability of tumor cells. Therefore, TfR levels can be elaborated as a prognostic tumor marker, and TfR is a potential target for drug delivery in the therapy of malignant cells. Here, we report the preparation of an anti-TfR single-chain antibody variable (scFv) immunoliposome for tumortargeted delivery vehicle. The cDNA encoding the variable heavy and light chain domains of the anti-TfRscFv antibody fragment was derived from the murine monoclonal antibody Clone E6, which is specific towards transferrin receptor. The gene encoding the anti-TfR scFv fragment was codon optimized for expression in Escherichia coli, subsequently synthesized, and cloned into the expression vector pJexpress404. The His6- tagged anti-TfR scFv fragment was expressed in E. coli and purified by means of immobilized metal-ion affinity chromatography on TALON™ matrix. SDS-PAGE revealed that the scFv fragment had the size of approximately 27 kDa, which corresponded with the predicted size of the protein based on its amino acid sequence. Liposome containing 5% MPB-DOPE were prepared by ethanol injection method. Afterwards, the anti-TfR scFv fragments were covalently conjugated to the liposome to produce the anti-TfR scFv immunoliposome with the size of around 200 to 300 nm.
An adaptive state aggregation approach to Q-learning with real-valued action function

The fundamental approach of Q-learning is based on finite discrete state spaces, and incrementally estimating Q-values based on the reward received from the environment and the agent's previous Q-value estimates. Unfortunately, robots always learn and behave in a continuous perceptual space where the observed perceptions are transformed into or coarsely regarded as states. Nowadays, there is no elegant way to combine discrete actions with continuous observations or states. Therefore, accommodating continuous states with a finite discrete set of actions has become an important and intriguing issue in this research area. We proposed an algorithm to define an action policy from a discrete space to a real valued domain; that is, the method selects a real-valued action from a discrete set, the magnitude of which is immediately imposed a slight bias before this determined action is taken. From the viewpoint of exploration and exploitation, the method searches for a better action based on a paradigm action in the solution space with a variation within the biased region. Further, the proposed method uses the renown epsilon-greedy to explore a better trace but with a narrowized Tabu search.
Reaction of Azo Dyes with Amino functionalized Multi walled carbon Nano Tubes

In this paper the synthesis of functionlized MWCNT Solution of multi-step reactions have been reported during carbonylated nanotubes is obtained with the desired amines. After purification of MWCNT oxidation with nitricacid and the formation of nanotubes carboxylated MWCNTS - CoCl obtained. The reaction product of aromatic amines and aliphatic several factors such as 1,4 phenylene diamine, 4-hydroxy- 1,3 phenylene diamine, 4-methyl -1,3 phenylene diamine,1,3 phenylene diamine, 1,8 diamino-3,6 dioxa octane derivatives.Significant operating and nanotubes MWCNTS-CO-NH-R-NH2 Was changed. Because of this structure, solubility in organic solvents can react with various functional groups and heavy metals ions in water is used. Each product at each stage of spectroscopic methods IR,RAMAN,1HNMR,13 CNMR, SEM,TGA,were identified and analyzed. Then we make the dye, the dye composition of amino nano tubes and then deposited obtained by spectroscopic methods such as IR/TGA analysis was identified.
Bayesian Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors

Many geodetic measurement data can be modelled as a multivariate time series consisting of a deterministic (“functional”) model describing the trend, and a stochastic model of the correlated noise. These data are also often affected by outliers and their stochastic properties can vary significantly. The functional model of the time series is usually nonlinear regarding the trend parameters. To deal with these characteristics, a time series model, which can generally be explained as the additive combination of a multivariate, nonlinear regression model with multiple univariate, covariance-stationary autoregressive (AR) processes the white noise components of which obey independent, scaled t-distributions, was proposed by the authors in previous research papers. In this paper, we extend the aforementioned model to include prior knowledge regarding various model parameters, the information about which is often available in practical situations. We develop an algorithm based on Bayesian inference that provides a robust and reliable estimation of the functional parameters, the coefficients of the AR process and the parameters of the underlying t-distribution. We approximate the resulting posterior density using Markov chain Monte Carlo (MCMC) techniques consisting of a Metropolis-within-Gibbs algorithm.
Economic and environmental implications of the interfirm waste utilisation

Considering the mismatch in the supply of and demand for the industrial process wastes, we investigate when the interfirm waste utilisation can be both economically and environmentally superior to the no waste utilisation. The Nash bargaining approach is employed to resolve the incentive misalignment problem. Our analysis suggests that the conversion strategy changes from over-conversion, to full conversion, and then to partial conversion with increasing waste trading price. Furthermore, an increase in the waste disposal fee contributes to the diversion of wastes from the landfill but may result in worse environmental consequences especially for wastes with a slight reduction in the production impact compared to raw materials. This implies that policy makers should charge the waste disposal fee based on waste types and focus on increasing that for wastes with higher disposal and lower production impacts. Finally, at the lower waste trading price, the interfirm waste utilisation is always a win-win strategy. While at the higher waste trading price, it is a win-win strategy for products with a substantial reduction in the production impact when producing with wastes. Otherwise, it is a win-win strategy for products with a lower production impact relative to the raw material usage and waste disposal impacts.
Benefits, Challenges, and Social Impact of Health Care Providers’ Adoption of Social Media

With the advent of telecommunication technologies and social media, many health care professionals are using social media to communicate with their patients and to promote health. However, the literature reveals a lacuna in our understanding of health care professionals’ perception of their behavioral intentions to use innovations. Using the Unified Technology Acceptance Framework (unified theory of acceptance and use of technology), in-depth interviews were conducted with 16 Australian health care experts to uncover their intent and actual use of social media in their medical practices. Results revealed that social media tools offered five significant benefits such as (i) enhanced communication between health care professionals and their patients, (ii) community support, (iii) enabled e-learning, (iv) enhanced professional network, and (v) expedited health promotion. However, result also revealed barriers to social media usage including (i) inefficiency, (ii) privacy concerns, (iii) poor quality of information, (iv) lack of trust, and (v) blurred professional boundary. Peer influence and supporting conditions were also found to be determinants of social media adoption behaviors among health care professionals. This study has important implications for health care providers, patients, and policy makers on the responsible use of social media, health promotion, and health communication. This research is also among the very few studies that explore Australian health care professionals’ intent and actual use of innovations within a health care setting.
SIE‐Climate: A methodological and technological tool for predicting local climate variability in managing socio‐ecological systems

Climate variability, as an element of uncertainty in water management, affects community, sectoral, and individual decision‐making. Long‐range prediction models are tools that offer the potential for integration and joint analysis with the hydrological, hydrodynamic, and management response of the socio‐ecological systems to which they are linked. The main objective of this article is to present a seasonal climate prediction model, the open‐source algorithm SIE‐Climate, whose application consists of three phases (exploration, development, and evaluation), and to describe its application to the Lake Sochagota socio‐ecological system (Paipa, Boyacá, Colombia). The K‐nearest neighbours method is used when defining a target matrix that represents and integrates macro‐ and micro‐climatic phenomena (Oceanic Niño Index, local temperature, and local rainfall) to identify periods of similar climatic behaviour. Considering a 1‐year horizon and management purposes the tool is calibrated and validated in periods with and without climatic anomalies (2000–2018), giving reliable adjustment results (RSME:4.86; R2: 0.95; PBIAS: −8.89%; EFF: 0.85). SIE‐Climate can be adapted to various contexts, variables of interest, and temporal and spatial scales, with an appropriate technological and computational cost for regional water management.
Polymer/TiO2 Nanorod Nanocomposite Optical Memristor Device

Modulation of resistive switching memory by light opens the route to new optoelectronic devices that can be controlled both optically and electronically. Applications include integrated circuits with memory elements switchable by light and neuromorphic computing with optically reconfigurable and tunable synaptic circuits. We report on a unique nanocomposite resistive switching material and device made from a low concentration (∼0.1% by mass) of titanium dioxide nanorods (TiO2-NRs) embedded within the azobenzene polymer, poly(disperse red 1 acrylate, PDR1A). The device exhibits both reversible electronic memristor switching and reversible polarization-dependent optical switching. Optical irradiation by circularly polarized light causes a trans-cis photochemical isomerization that modifies the conformation and orientation of the photoactive azo-unit within the polymer. The resulting expansion of the composite (PDR1A/TiO2-NR) polymer film modifies the conduction pathway, facilitated by the presence of the TiO2-NRs, as a semiconductor material, through the (PDR1A/TiO2-NR) polymer film, which provides a sensitive means to control resistive switching in the device. The effect is reversible by changing the polarization state of the incident light. A charge-flux memristor model successfully reproduces the current-voltage hysteresis loops and threshold switching properties of the device, as well as the effect of the illumination on the electrical characteristics.
The Circular Carbon Economy Index – Methodological Approach and Conceptual Framework

The circular carbon economy (CCE) approach, developed during Saudi Arabia’s G20 Presidency and endorsed by G20 leaders and energy ministers, can be used as a framework for holistic assessments of all available energy and emission management technologies within the confines of a global carbon budget. KAPSARC’s Circular Carbon Economy Index project, launched in 2021, will develop a composite indicator (index) that measures and tracks country performance and potential on various dimensions of the CCE to support related policy discussions and planning
Electoral outcomes and support for Westminster democracy

ABSTRACT It is well established that those who supported the winning side in elections report greater specific democratic support – they are more satisfied with the functioning of their democracy – than those who supported the losing side. This literature, however, has focused almost exclusively on winning the presidency or premiership. This project extends that literature to incorporate the effect of district election victories and defeats on citizens’ democratic opinions using post-election surveys in three Westminster-style democracies: Australia, Canada, and Great Britain. It also includes two indicators of democratic institutional support: believing it matters for whom people vote and believing it matters who is in power. It finds that district-level results moderate the win-loss satisfaction gap induced by national election results. Winning in the constituency offsets the negative effect of electoral defeat; among national winners, however, the district result has limited impact on democratic attitudes. Constituency-level victories are less effective at mitigating the effect of national defeat on more diffuse democracy support.
Linking sustainable business models and supply chains — Toward an integrated value creation framework

Extant literature on sustainable business models highlights that value creation stems from resources exchanged in relationships between a focal firm and its stakeholders. In this context, the literature has, so far, focused on direct relationships. However, despite the acknowledged relevance of sustainability issues in supply chains, this relational view of the focal company and its direct stakeholders has not been extended toward value creation for and with indirect stakeholders, such as stake-holders of suppliers. Addressing this gap, this conceptual article integrates a relational view of sustainable supply chain management into the management of sustainable business models. It extends the scope of sustainable business models from relationships between the focal firm and its direct stakeholders to indirect relationships with stakeholders of suppliers. A framework is developed that supports analysis and management of value-creating relationships between the focal firm, suppliers, and stake-holders of suppliers. By extending the conceptualization of sustainable business models to consider relationship chains beyond direct relationships, this article proposes that a focal firm has to actively manage interactions both with suppliers and with suppliers' stakeholders.
Energy from Biomass: Assessing Sustainability by Geoinformation Technology

Sustainable Development Goal (SDG) target 7.2 requests a substantial increase in the share of renewable energy in the global energy mix by 2030. Renewable energy production in all sectors has to be evaluated for its contribution to reach this target. Biomass for energy production has gained a bad reputation over the past years due to the “food versus fuel” debate or reported unsustainable practices. The BIOPLAT-EU project is employing geoinformation technologies combined with sustainability and economic expertise to more accurately evaluate the sustainability of bioenergy value chains. The project has three main parts: first, the generation of a pan-European map of marginal, underutilized, and contaminated (MUC) lands potentially usable for bioenergy production. This is realized by employing remote sensing time series, existing Copernicus, and other spatial data sets. Second, the generation of a web-based geographical information system (GIS) connecting the MUC lands with other important information sources necessary to assess sustainability. Thisrd, the sustainability assessment includes not only typical social and environmental sustainability indicators like soil, water, or greenhouse gas emissions, but also economic sustainability indicators like employment. Current financial barriers are addressed by integrating innovative financing solutions considering SDG target 12.A.