Genes Coding Research Articles

Breaking the Degeneracy of Sense Codons – How Far Can We Go?

AbstractGenetic code expansion aims to incorporate non‐canonical amino acids (ncAAs) into biological systems, enhancing protein functionality or enabling the in vitro selection of peptides from diverse mRNA displayed libraries. Typically, genetic code expansion has involved reassignment of stop codons to ncAAs through orthogonal translation systems. This review instead focuses on efforts to expand the genetic code by breaking the redundancy of sense codons in vitro and in vivo. In vivo, orthogonal aminoacyl‐tRNA synthetase (AARS)/tRNA/AA systems are able to compete with endogenous machinery, enabling partial to full codon reassignment. Recent approaches, like genome recoding, offer potential solutions to reduce competition. In vitro studies utilize cell extract‐based or reconstituted translation systems, allowing precise control of codon usage via gene design and tRNA addition, making breaking of sense degeneracy easier. In these systems several unsplit codon boxes have been successfully reassigned multiple to ncAAs. These efforts showcase both the successes and challenges in achieving orthogonality and selective codon decoding and point towards a future where the 64 codons can encode more than 30 monomers, enabling new advances in synthetic biology and drug discovery.

Open-Source Optimization of Hybrid Monte Carlo Methods for Fast Response Modeling of NaI (Tl) and HPGe Gamma Detectors

Modeling the response of gamma detectors has long been a challenge within the nuclear community. Significant research has been conducted to digitally replicate instruments that can cost over USD 100,000 and are difficult to operate outside of a laboratory setting. The large cost and availability prevent some from making use of such equipment. Subsequently, there have been multiple attempts to create cost-effective codes that replicate the response of sodium-iodide and high-purity germanium detectors for data derivation related to gamma-ray interaction with matter. While robust programs do exist, they are often subject to export controls and/or they are not intuitive to use. Through the use of hybrid Monte Carlo methods, MATLAB can be used to produce a fast first-order response of various gamma-ray detectors. The combination of a graphical user interface with a numerical-based script allows for open-source and intuitive code. When benchmarked with experimental data from Co-60, Cs-137, and Na-22, the code can numerically calculate a response comparable to experimental and industry-standard response codes. Evidence supports both savings in computational requirements and the inclusion of an intuitive user experience that does not heavily compromise data when compared to other standard codes, such as MCNP and GADRAS, or experimental results. When the application is installed on a Dell Intel i7 computer with 16 cores, the average time to simulate the benchmarked isotopes is 0.26 s. Installation on an HP Intel i7 four-core machine runs the same isotopes in 1.63 s. The results indicate that simple gamma detectors can be modeled in an open-source format. The anticipation for the MATLAB application is to be a tool that can be easily accessible and provide datasets for use in an academic setting requiring gamma-ray detectors. Ultimately, this article provides evidence that hybrid Monte Carlo codes in an open-source format can benefit the nuclear community in both computational time and up-front cost for access.

Performance Analysis Relevant to Primary Design Parameters of Pervious Concrete: A Critical Review

Pervious concrete (PC) is a structural element with environmental benefits. The industrial application is highly limited by restrictions in predicting performance owing to high uncertainties and issues in mass-producing with uniform characteristics. Primary performance indicators of PC are compressive strength, porosity, and permeability, where the porosity distribution and pore characteristics are crucial in its mechanical properties. Although compaction can improve uniformity in the properties of concrete, it is properly employed in PCs to ensure connectivity between pores and thereby enhance permeability. The compactability of fresh concrete predominantly depends on binder thickness dictated by aggregate-to-binder (A/B) ratio, water-to-binder (W/B) ratio, aggregate size, shape distribution of aggregates, and interfacial transition zone. In addition, the method of compaction, the compaction energy, and the distribution of compaction energy in the concrete matrix affect the above. The concrete compaction methods and their effectiveness vary between laboratory studies and field-scale installations. This state-of-the-art critical review of literature reviews the performance parameters of PC, compaction types and methods, compactability of PC, and models currently employed to optimize the mix design. It also highlights the potential trends for future studies to assist optimization of compaction in PC. The authors believe that this comprehensive review would assist professionals in developing a standard code of practice for using PC concrete.

Effect of Flow Interference between Cylinders Subjected to a Cross Flow over a Cluster of Three Equally Spaced Cylinders

In this paper, flow over a cluster of three equally spaced circular cylinders was studied by numerical simulation based on the turbulence model k-kl-ω for two incidence angles β = 0° and 60°, at different Reynolds numbers, and flow interference pattern characteristics between cylinders, characteristics of force parameters, and Strouhal number of each cylinder with different spacing ratios ranging from 1.5 to 4 at Re 8 × 104, 2 × 105 and 2 × 106 were obtained. Analyzing the flow field around three cylinders, the following results have been obtained: (1) at incidence angle β = 0° and 60°, the wake was nearly symmetrical if S/D ≥ 2.0; (2) at β = 60°, S/D = 1.5, and Re = 2 × 105, an asymmetric periodic flow pattern occurred in the wake region which produced a significant effect on the surface mechanical parameters and Strouhal number, and this was observed for the first time. The periodic flow regime of the wake region also occurred at S/D = 1.35 and 1.5, without the same phenomenon at S/D = 1.7 and 2.0; this phenomenon is described for the first time in this paper; (3) the phenomenon of periodic flow regime in the wake region was intrinsic and related to Reynolds number and space ratio. In addition, the characteristics of force parameters of three cylinders were mainly affected by the interference between cylinders, at 1.5 < S/D < 4, which indicated that the drag coefficient of three cylinders reduces with different Reynolds numbers and increases with enlargement of the spacing ratio for upstream cylinders at incidence angle 0°. At incidence angle 60° and S/D = 1.5~4, the Strouhal number decreases with the enlargement of spacing ratio for the upstream cylinders, but the Strouhal number increases for the downstream cylinder, which is another prominent flow interference influence. The results indicated the effect of flow interference between cylinders subjected to a cross flow over a cluster of three equally spaced cylinders, considering the flow pattern, surface mechanical parameters and Strouhal number, which should be considered in the establishment of standard design codes in fields such as offshore wind turbine engineering for flow interference around groups of cylinders.

Coffee Farmers' Obligations Response to 4C Certification in South OKU Regency South Sumatra Province, Indonesia

The increasing demand for certified coffee has encouraged coffee exporters in Indonesia to try to help and certify coffee in their areas. Sustainable standards and certification can encourage coffee farmers to implement GAP rather than economically, socially and environmentally sustainable coffee production, the standard code coffee community (4C) certification used globally reaches 1,768,272 tons. The study aimed to determine whether farmers agreed to the implementation of 4C coffee certification in South OKU Regency. The sample was made of coffee farmers in South Ogan Komering Ulu Regency located in Pulau Beringin and Runjung Agung Districts, taken randomly and measured using a Likert scale. The study results showed that farmers agreed to implement 4C, which is in the economic, social, and environmental dimensions. Regarding environmental aspects, several important things are overlooked, especially restrictions on the use of pesticides, considering that farmers are currently accustomed to using insecticides and herbicides.

Serial properties, selector proofs and the provability of consistency

Abstract The consistency of a theory means that each of its formal derivations $D_{0}, D_{1}, D_{2}, \ldots $ is free of contradictions. For Peano Arithmetic PA, after the standard coding of derivations by numerals, PA-consistency is directly represented by the consistency scheme $\textsf{Con}^{S}_{\textsf{PA}}$, which is a series of arithmetical statements ‘$n$ is not a code of a derivation of $\ (0=1)$’ for numerals $n=0,1,2,\ldots $. We note that the consistency formula $\textsf{Con}_{\textsf{PA}}$, $\forall x$ ‘$x$ is not a code of a derivation of $(0=1)$,’ is strictly stronger in PA than PA-consistency and corresponds to some other property, which we call uniform consistency. When studying the provability of consistency in PA we ought to work not with the consistency formula $\textsf{Con}_{\textsf{PA}}$ but rather with the consistency scheme $\textsf{Con}^{S}_{\textsf{PA}}$, which adequately represents PA-consistency. This paper introduces the Hilbert-inspired notion of proof of an infinite series of formulas in a theory and proves PA-consistency in the form $\textsf{Con}^{S}_{\textsf{PA}}$ in PA. These findings show that PA proves its consistency whereas, by Gödel’s second incompleteness theorem, PA cannot prove its uniform consistency.

Performance enhancement of optical pulse coding phase-sensitive OTDR system with genetic-optimized code

Optical pulse coding (OPC) in phase-sensitive optical time-domain reflectometry (φ-OTDR) traditionally relies on standard coding sequences as probe pulse trains, which usually suffer the problem of distorted probe pulse caused by the gain saturation in erbium-doped fiber amplifier (EDFA). To improve the signal-to-noise ratio (SNR) and mitigate distortion caused by the EDFA gain saturation, a genetic-optimized code (Go-code) based OPC φ-OTDR (GOPC φ-OTDR) scheme is proposed in this paper. The unique Go-code sequence generated by the distributed genetic algorithm (DGA) is explored in the field of φ-OTDR for the first time, and the coding sequence was optimized to adapt to the vibration sensing requirements in φ-OTDR. Theoretical analyses focused on EDFA gain saturation effects and coding gain were conducted. The experiment of GOPC φ-OTDR demonstrated significant improvements compared with Golay φ-OTDR, achieving less distortion in decoding response and approximately 7.48 dB phase demodulation SNR enhancement within a 10-km sensing range. This research marks Go-code's pioneering exploration into φ-OTDR, demonstrating substantial advancements in optimization metrics, and opening avenues for exploring advanced OPC technologies.

Quantum Lego Expansion Pack: Enumerators from Tensor Networks

We provide the first tensor-network method for computing quantum weight enumerator polynomials in the most general form. If a quantum code has a known tensor-network construction of its encoding map, our method is far more efficient, and in some cases exponentially faster than the existing approach. As a corollary, it produces decoders and an algorithm that computes the code distance. For non-(Pauli)-stabilizer codes, this constitutes the current best algorithm for computing the code distance. For degenerate stabilizer codes, it can be substantially faster compared to the current methods. We also introduce novel weight enumerators and their applications. In particular, we show that these enumerators can be used to compute logical error rates exactly and thus construct (optimal) decoders for any independent and identically distributed single qubit or qudit error channels. The enumerators also provide a more efficient method for computing nonstabilizerness in quantum many-body states. As the power for these speedups rely on a quantum Lego decomposition of quantum codes, we further provide systematic methods for decomposing quantum codes and graph states into a modular construction for which our technique applies. As a proof of principle, we perform exact analyses of the deformed surface codes, the holographic pentagon code, and the two-dimensional Bacon-Shor code under (biased) Pauli noise and limited instances of coherent error at sizes that are inaccessible by brute force. Published by the American Physical Society 2024

Design-informed generative modelling of skeletal structures using structural optimization

Although various structural optimization techniques have a sound mathematical basis, the structural robustness and practical constructability of optimal designs pose a great challenge in the manufacturing stage. This paper presents an automated novel approach stemming from structural optimization and engineering principles, where discrete members of the structurally optimized designs are driven towards optimal utilization. The developed workflow unifies topology, layout and size optimization in a single parametric platform, which subsequently outputs a ready-to-manufacture CAD skeletal model which can be manufactured either additively or by assembly. All such outputs are checked and validated for structural requirements; strength, stiffness and stability in accordance with standard codes of practice. In the implementations, first, a topology-optimal model is generated and converted to a one-pixel-wide chain model using skeletonization. Herein, this paper uses a novel efficient method to extract the skeleton by using pixel-padding near the domain borders. Secondly, a spatial frame is extracted from the skeleton for its member size and layout optimization. Finally, the CAD model is generated using constructive solid geometry trees and the structural integrity of each member is assessed to ensure structural robustness prior to manufacturing. Various examples presented in the paper showcase the validity of the presented workflow across various structural engineering applications.

Lift-connected surface codes

We use the recently introduced lifted product to construct a family of quantum low density parity check codes (QLDPC codes). The codes we obtain can be viewed as stacks of surface codes that are interconnected, leading to the name lift-connected surface (LCS) codes. LCS codes offer a wide range of parameters—a particularly striking feature is that they show interesting properties that are favorable compared to the standard surface code. For example, already at moderate numbers of physical qubits in the order of tens, LCS codes of equal size have lower logical error rate or similarly, require fewer qubits for a fixed target logical error rate. We present and analyze the construction and provide numerical simulation results for the logical error rate under code capacity and phenomenological noise. These results show that LCS codes attain thresholds that are comparable to corresponding (non-connected) copies of surface codes, while the logical error rate can be orders of magnitude lower, even for representatives with the same parameters. This provides a code family showing the potential of modern product constructions at already small qubit numbers. Their amenability to 3D-local connectivity renders them particularly relevant for near-term implementations.

Learning from the Codon Table: Convergent Recoding Provides Novel Understanding on the Evolution of A-to-I RNA Editing.

Adenosine-to-inosine (A-to-I) RNA editing recodes the genetic information. Apart from diversifying the proteome, another tempting advantage of RNA recoding is to correct deleterious DNA mutation and restore ancestral allele. Solid evidences for beneficial restorative editing are very rare in animals. By searching for "convergent recoding" under a phylogenetic context, we proposed this term for judging the potential restorative functions of particular editing site. For the well-known mammalian Gln>Arg (Q>R) recoding site, its ancestral state in vertebrate genomes was the pre-editing Gln, and all 470 available mammalian genomes strictly avoid other three equivalent ways to achieve Arg in protein. The absence of convergent recoding from His>Arg, or synonymous mutations on Gln codons, could be attributed to the strong maintenance on editing motif and structure, but the absence of direct A-to-G mutation is extremely unexpected. With similar ideas, we found cases of convergent recoding in Drosophila genus, reducing the possibility of their restorative function. In summary, we defined an interesting scenario of convergent recoding, the occurrence of which could be used as preliminary judgements for whether a recoding site has a sole restorative role. Our work provides novel insights to the natural selection and evolution of RNA editing.

Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study.

Adverse events associated with vaccination have been evaluated by epidemiological studies and more recently have gained additional attention with the emergency use authorization of several COVID-19 vaccines. As part of its responsibility to conduct postmarket surveillance, the US Food and Drug Administration continues to monitor several adverse events of special interest (AESIs) to ensure vaccine safety, including for COVID-19. This study is part of the Biologics Effectiveness and Safety Initiative, which aims to improve the Food and Drug Administration's postmarket surveillance capabilities while minimizing public burden. This study aimed to enhance active surveillance efforts through a rules-based, computable phenotype algorithm to identify 5 AESIs being monitored by the Center for Disease Control and Prevention for COVID-19 or other vaccines: anaphylaxis, Guillain-Barré syndrome, myocarditis/pericarditis, thrombosis with thrombocytopenia syndrome, and febrile seizure. This study examined whether these phenotypes have sufficiently high positive predictive value (PPV) to ensure that the cases selected for surveillance are reasonably likely to be a postbiologic adverse event. This allows patient privacy, and security concerns for the data sharing of patients who had nonadverse events can be properly accounted for when evaluating the cost-benefit aspect of our approach. AESI phenotype algorithms were developed to apply to electronic health record data at health provider organizations across the country by querying for standard and interoperable codes. The codes queried in the rules represent symptoms, diagnoses, or treatments of the AESI sourced from published case definitions and input from clinicians. To validate the performance of the algorithms, we applied them to electronic health record data from a US academic health system and provided a sample of cases for clinicians to evaluate. Performance was assessed using PPV. With a PPV of 93.3%, our anaphylaxis algorithm performed the best. The PPVs for our febrile seizure, myocarditis/pericarditis, thrombocytopenia syndrome, and Guillain-Barré syndrome algorithms were 89%, 83.5%, 70.2%, and 47.2%, respectively. Given our algorithm design and performance, our results support continued research into using interoperable algorithms for widespread AESI postmarket detection.

DNA Methylation of the Autonomous Pathway Is Associated with Flowering Time Variations in Arabidopsis thaliana.

Plant flowering time is affected by endogenous and exogenous factors, but its variation patterns among different populations of a species has not been fully established. In this study, 27 Arabidopsis thaliana accessions were used to investigate the relationship between autonomous pathway gene methylation, gene expression and flowering time variation. DNA methylation analysis, RT-qPCR and transgenic verification showed that variation in the flowering time among the Arabidopsis populations ranged from 19 to 55 days and was significantly correlated with methylation of the coding regions of six upstream genes in the autonomous pathway, FLOWERING LOCUS VE (FVE), FLOWERING LOCUS Y (FY), FLOWERING LOCUS D (FLD), PEPPER (PEP), HISTONE DEACETYLASE 5 (HAD5) and Pre-mRNA Processing Protein 39-1 (PRP39-1), as well as their relative expression levels. The expression of FVE and FVE(CS) was modified separately through degenerate codon substitution of cytosine and led to earlier flowering of transgenic plants by 8 days and 25 days, respectively. An accurate determination of methylated sites in FVE and FVE(CS) among those transgenic plants and the recipient Col-0 verified the close relationship between the number of methylation sites, expression and flowering time. Our findings suggest that the methylation variation of these six key upstream transcription factors was associated with the gene expression level of the autonomous pathway and flowering time in Arabidopsis. The FVE(CS) and FVE genes in transgenic plants tended to be hypermethylated, which could be a protective mechanism for plants. However, modification of gene sequences through degenerate codon substitution to reduce cytosine can avoid hypermethylated transferred genes in transgenic plants. It may be possible to partially regulate the flowering of plants by modified trans-epigenetic technology.

Utilizing codon degeneracy in the design of donor DNA for CRISPR/Cas9-mediated gene editing to streamline the screening process for single amino acid mutations.

Chlamydomonas reinhardtii, a unicellular green alga, has been widely used as a model organism for studies of algal, plant and ciliary biology. The generation of targeted amino acid mutations is often necessary, and this can be achieved using CRISPR/Cas9 induced homology-directed repair to install genomic modifications from exogenous donor DNA. Due to the low gene editing efficiency, the technical challenge lies in identifying the mutant cells. Direct sequencing is not practical, and pre-screening is required. Here, we report a strategy for generating and screening for amino acid point mutations using the CRISPR/Cas9 gene editing system. The strategy is based on designing donor DNA using codon degeneracy, which enables the design of specific primers to facilitate mutant screening by PCR. An in vitro assembled RNP complex, along with a dsDNA donor and an antibiotic resistance marker, was electroporated into wild-type cells, followed by PCR screening. To demonstrate this principle, we have generated the E102K mutation in centrin and the K40R mutation in α-tubulin. The editing efficiencies at the target sites for Centrin, TUA1, TUA2 were 4, 24 and 8% respectively, based on PCR screening. More than 80% of the mutants with the expected size of PCR products were precisely edited, as revealed by DNA sequencing. Subsequently, the precision-edited mutants were biochemically verified. The introduction of codon degeneracy did not affect the gene expression of centrin and α-tubulins. Thus, this approach can be used to facilitate the identification of point mutations, especially in genes with low editing rates.

Prevalence of Late-Stage Parkinson's Disease in the US Healthcare System: Insights from TriNetX.

Patients in late-stage Parkinson's disease (PDLS) are caregiver-dependent, have low quality of life, and higher healthcare costs. To estimate the prevalence of PDLS patients in the current US healthcare system. We downloaded the 2010-2022 data from the TriNetX Diamond claims network that consists of 92 US healthcare sites. PD was identified using standard diagnosis codes, and PDLS was identified by the usage of wheelchair dependence, personal care assistance, and/or presence of diagnoses of dementia. Age of PDLS identification and survival information were obtained and stratified by demographic and the disability subgroups. We identified 1,031,377 PD patients in the TriNetX database. Of these, 18.8% fitted our definition of PDLS (n = 194,297), and 10.2% met two or more late-stage criteria. Among all PDLS, the mean age of PDLS identification was 78.1 (±7.7) years, and 49% were already reported as deceased. PDLS patients were predominantly male (58.5%) with similar distribution across PDLS subgroups. The majority did not have race (71%) or ethnicity (69%) information, but for the available information >90% (n = 53,162) were White, 8.2% (n = 5121) Hispanic/Latino, 7.8% (n = 4557) Black, and <0.01% (n = 408) Asian. Of the PDLS cohort, 71.6% identified with dementia, 12.9% had personal care assistance, and 4.8% were wheelchair-bound. Late-stage patients are a significant part of the PD landscape in the current US healthcare system, and largely missed by traditional motor-based disability staging. It is imperative to include this population as a clinical, social, and research priority. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Deciphering The Transcriptional Activities of Genes Coding For Adipokines and Their Receptors in Porcine Ex Situ-Protected Mesenchymal Stem Cells Undergoing Adipogenic Differentiation

Abstract The aim of this study was to investigate the impact of the source of mesenchymal stem cells (MSCs) and their adipogenic derivatives on the relative abundances (RAs) noticed for mRNA transcripts of the selected adipokines (adiponectin and leptin) and their receptors. MSCs were isolated from bone marrow (BM) and subcutaneous adipose tissue (AT ) samples collected post mortem from a total of four gilts (each at the age of 6 months). The stemness of the MSCs was proven via recognizing their abilities to differentiate into adipocytes, osteoblasts, and chondrocytes. By using real-time PCR (RT -qPCR), the quantitative levels of transcriptional activity pinpointed for the adiponectin (ADIPOQ), adiponectin receptor 1 (ADIPOR1), adiponectin receptor 2 (ADIPOR2), leptin (LEP), and leptin receptor (LEPR) genes were comparatively analyzed between non-differentiated AT -MSCs and BM-MSCs and their cell counterparts undergoing differentiation into adipocytes. A significantly higher RA for ADIPOR1 transcripts was identified in the AT-MSCs compared to the BM-MSCs and their adipogenic derivatives (P≤0.05). Moreover, the quantitative levels of LEPR transcripts were shown to increase significantly among adipocytes originating from differentiated BM-MSCs compared to undifferentiated BM-MSCs, AT -MSCs, and AT -MSC-derived adipocytes (P≤0.05). Nonetheless, there was no significant inter-group variability in the RAs of the ADIPOQ, ADIPOR2, or LEP mRNA transcripts (P&gt;0.05). Cumulatively, the in vitro models focused on the identification and detailed exploration of transcriptomic signatures of undifferentiated pig BM- and AT -MSCs, and the molecular mechanisms underlying the adipogenic differentiation pathways of the above-indicated two distinct sources of stem cells were developed and optimized in the current investigation for the very first time. These ex vivo porcine models might confirm the expedited functional mobilization of ex situ-protected MSCs and their enhanced capacity to be transcriptionally reprogrammed into adipocytes due to physiopathological alterations in the expression profiles of adipokines and their receptors, which are prompted and progressed in obese and superobese women patients at the peri-pubertal period of ontogenesis. Finally, the models providing comprehensive molecular insights into ex situ-protected porcine BM- and AT -derived MSCs and their differentiated derivatives can be largely suitable for the biotechnologically assisted rescue and restitution of endangered representatives of rare native breeds of domestic pig.

Prediction of flexural strength in FRP bar reinforced concrete beams through a machine learning approach

PurposeThe purpose of this study is to assess the incorporation of fiber reinforced polymer (FRP) bars in concrete as a reinforcement enhances the corrosion resistance in a concrete structure. However, FRP bars are not practically used due to a lack of standard codes. Various codes, including ACI-440-17 and CSA S806-12, have been established to provide guidelines for the incorporation of FRP bars in concrete as reinforcement. The application of these codes may result in over-reinforcement. Therefore, this research presents the use of a machine learning approach to predict the accurate flexural strength of the FRP beams with the use of 408 experimental results.Design/methodology/approachIn this research, the input parameters are the width of the beam, effective depth of the beam, concrete compressive strength, FRP bar elastic modulus and FRP bar tensile strength. Three machine learning algorithms, namely, gene expression programming, multi-expression programming and artificial neural networks, are developed. The accuracy of the developed models was judged by R2, root means squared and mean absolute error. Finally, the study conducts prismatic analysis by considering different parameters. including depth and percentage of bottom reinforcement.FindingsThe artificial neural networks model result is the most accurate prediction (99%), with the lowest root mean squared error (2.66) and lowest mean absolute error (1.38). In addition, the result of SHapley Additive exPlanation analysis depicts that the effective depth and percentage of bottom reinforcement are the most influential parameters of FRP bars reinforced concrete beam. Therefore, the findings recommend that special attention should be given to the effective depth and percentage of bottom reinforcement.Originality/valuePrevious studies revealed that the flexural strength of concrete beams reinforced with FRP bars is significantly influenced by factors such as beam width, effective depth, concrete compressive strength, FRP bars’ elastic modulus and FRP bar tensile strength. Therefore, a substantial database comprising 408 experimental results considered for these parameters was compiled, and a simple and reliable model was proposed. The model developed in this research was compared with traditional codes, and it can be noted that the model developed in this study is much more accurate than the traditional codes.

Implementation of Broadcast Code of Conduct and Broadcast Program Standards at Celebes TV Makassar

This paper discusses the Implementation of Broadcasting Code of Conduct and Broadcast Program Standards at Celebes TV Makassar. this research, the author uses Qualitative research (field research). Data collection is done by interview, observation and documentation. The results showed that The implementation of Broadcasting Code of Conduct and Broadcast Program Standard on Celebes TV Makassar broadcast program is by following the regulation set by Indonesian Broadcasting Commission (KPI) about Broadcasting Code of Conduct and Broadcast Program Standard (P3SPS) 2012. In disseminating information, it must be in accordance with the existing facts and before the information is disseminated to the audience or public, it is necessary to research the truth of the information so that there is no misunderstanding between the information giver and the information receiver.

Steganography Technique to Hide a Secret Message in QR Code

This paper proposes a new method to hide a message in Quick Response code (QR code). This type of image steganography is quite a challenge because the secrete message should not be detected by the standard QR code reader. In addition, it has to be stored in an appropriate location that does not affect the original data of the QR code. All these requirements are studied. The analysis method is presented and discussed.

Influence of Perceived Convenience, Perceived Usefulness, and Perceived Risk on the Use Of QRIS to Increase MSMEs Income

QRIS (Quick Response Code Indonesia Standard) is a national standard for payments using QR codes in Indonesia. QRIS was developed by Bank Indonesia and the Indonesian Payment System Association (ASPI) to facilitate and unify various digital payment methods through standard QR codes. This study discusses the effect of perceived ease of use, perceived usefulness, and perceived risk on the use of QRIS to increase MSME income. There are 100 samples used and the sampling technique is through purposive sampling technique and the PLS-SEM method as the analysis with SmartPLS. The results of the study state that perceived ease of use, perceived usefulness have a significant influence on the use of QRIS while perceived usefulness has an insignificant influence on the use of QRIS. And the use of QRIS has a significant effect on MSME income.