bluuebunny/crossref_metadata_2025_split huggingface dataset:
An assessment of dermatoglyphic patterns correlation with the sagittal skeletal discrepancies and oral clefts: A clinical research
Authors: Wani Mohsin Aslam , Sangal Shikha , Shukla Diptiman , Amir Mohd. , Trivedi Shashank 
Published: December 2023

The aim of the present research study was to assess the correlation of various Dermatoglyphic patterns with the sagittal skeletal discrepancies and oral clefts. Pre-treatment digital lateral cephalograms of forty patients were taken in natural head position obtained. The sagittal jaw relation was determined with assessment of the following parameters: SNA, SNB, ANB, Wit’s appraisal, condylion to Point A, condylion to gnathion, angle of convexity and facial angle (Steiner’s, Down’s, McNamara and Wits Appraisal). The Dermatoglyphic of patients were taken with the help of Cummins and Midlo method. The fingerprints were recorded using the ink stamp method. The dried distal phalanges of both hands were rolled on an ink pad and stamped on paper which was fixed in place with adhesive tape. The prints obtained were assessed for the frequency of arches, loops and whorls. The dermatoglyphic results that were noted among the 4 groups showed a significant 38% of Arch pattern prevalent in the Class I subjects, 61% of Whorl pattern in Class II subjects, 67% of Loop pattern in Class III subjects and 71% of Loop pattern in Cleft subjects. The percentage distribution of the Dermatoglyphic patterns within the three groups of sagittal skeletal discrepancies and clefts for the 10 fingers (N=40) were evaluated for their significant association based on Fisher’s exact test. Furthermore, Chi-square test indicated a statistically significant (p&#60;0.001) association between the dermatoglyphic patterns and sagittal skeletal discrepancies and clefts, more than 54% of Class I subjects showed a positive correlation with Arch pattern, 33 % of Class III subjects and 35% of Cleft subjects indicated Loop pattern prevalence, whereas 46% of the Class II subjects showed a high tendency for the Whorl pattern.No significant type of Dermatoglyphic pattern in Skeletal Class I malocclusions. There was increased frequency of Whorl pattern in Skeletal Class II malocclusions and increased frequency of Loop pattern in Skeletal Class III malocclusions and clefts. The patients with the oral clefts generally don’t have the proper maxillary development due to which they have the tendency towards the development of Skeletal Class III malocclusion, so presence of loop pattern in Class III malocclusion and oral clefts was seen.
Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases
Authors: Filonov S. V. , Podkolodnyy N. L. , Podkolodnaya O. A. , Tverdokhleb N. N. , Ponomarenko P. M. , Rasskazov D. A. , Bogomolov A. G. , Ponomarenko M. P. 
Published: December 2023

It was previously shown that the expression levels of human genes positively correlate with TBP affinity for the promoters of these genes. In turn, single nucleotide polymorphisms (SNPs) in human gene promoters can affect TBP affinity for DNA and, as a consequence, gene expression. The Institute of Cytology and Genetics SB RAS (ICG) has developed a method for predicting TBP affinity for gene promoters based on a three-step binding mechanism: (1) TBP slides along DNA, (2) TBP stops at the binding site, and (3) the TBP-promoter complex is fixed due to DNA helix bending. The method showed a high correlation of theoretical predictions with measured values during repeated experimental testing by independent groups of researchers. This model served as a base for other ICG web services, SNP_TATA_Z-tester and SNP_TATA_Comparator, which make a statistical assessment of the SNP-induced change in the affinity of TBP binding to the human gene promoter and help predict changes in expression that may be associated with a genetic predisposition to diseases or phenotypic features of the organism. In this work, we integrated into a single database information about SNPs in human gene promoters obtained by automatic extraction from various heterogeneous data sources, as well as the estimates of TBP affinity for the promoter obtained using the three-step binding model and predicting their effect on gene expression for wild-type promoters and promoters with SNPs. We have shown that Human_SNP_TATAdb can be used for annotation and identification of candidate SNP markers of diseases. The results of a genome-wide data analysis are presented, including the distribution of genes with respect to the number of transcripts, the distribution of SNPs affecting TBP-DNA affinity with respect to positions within promoters, as well as patterns linking TBP affinity for the promoter, the specificity of the TBP binding site for the promoter and other characteristics of promoters. The results of the genome-wide analysis showed that the affinity of TBP for the promoter and the specificity of its binding site are statistically related to other characteristics of promoters important for the functional classification of promoters and the study of the features of differential gene expression.
GBS-DP: a bioinformatics pipeline for processing data coming from genotyping by sequencing
Authors: Pronozin A. Y. , Salina E. A. , Afonnikov D. A. 
Published: December 2023

The development of next-generation sequencing technologies has provided new opportunities for genotyping various organisms, including plants. Genotyping by sequencing (GBS) is used to identify genetic variability more rapidly, and is more cost-effective than whole-genome sequencing. GBS has demonstrated its reliability and flexibility for a number of plant species and populations. It has been applied to genetic mapping, molecular marker discovery, genomic selection, genetic diversity studies, variety identification, conservation biology and evolutio nary studies. However, reduction in sequencing time and cost has led to the need to develop efficient bioinformatics analyses for an ever-expanding amount of sequenced data. Bioinformatics pipelines for GBS data analysis serve the purpose. Due to the similarity of data processing steps, existing pipelines are mainly characterised by a combination of software packages specifically selected either to process data for certain organisms or to process data from any organisms. However, despite the usage of efficient software packages, these pipelines have some disadvantages. For example, there is a lack of process automation (in some pipelines, each step must be started manually), which significantly reduces the performance of the analysis. In the majority of pipelines, there is no possibility of automatic installation of all necessary software packages; for most of them, it is also impossible to switch off unnecessary or completed steps. In the present work, we have developed a GBS-DP bioinformatics pipeline for GBS data analysis. The pipeline can be applied for various species. The pipeline is implemented using the Snakemake workflow engine. This implementation allows fully automating the process of calculation and installation of the necessary software packages. Our pipeline is able to perform analysis of large datasets (more than 400 samples).
Application of the weighted histogram method for calculating the thermodynamic parameters of the formation of oligodeoxyribonucleotide duplexes
Authors: Yushin I. I. , Golyshev V. M. , Pyshnyi D. V. , Lomzov A. A. 
Published: December 2023

To date, many derivatives and analogs of nucleic acids (NAs) have been developed. Some of them have found uses in scientific research and biomedical applications. Their effective use is based on the data about their properties. Some of the most important physicochemical properties of oligonucleotides are thermodynamic parameters of the formation of their duplexes with DNA and RNA. These parameters can be calculated only for a few NA derivatives: locked NAs, bridged oligonucleotides, and peptide NAs. Existing predictive approaches are based on an analysis of experimental data and the consequent construction of predictive models. The ongoing pilot studies aimed at devising methods for predicting the properties of NAs by computational modeling techniques are based only on knowledge about the structure of oligonucleotides. In this work, we studied the applicability of the weighted histogram analysis method (WHAM) in combination with umbrella sampling to the calculation of thermodynamic parameters of DNA duplex formation (changes in enthalpy ∆H°, entropy ∆S°, and Gibbs free energy ∆G37° ). A procedure was designed involving WHAM for calculating the hybridization properties of oligodeoxyribonucleotides. Optimal parameters for modeling and calculation of thermodynamic parameters were determined. The feasibility of calculation of ∆H°, ∆S°, and ∆G37° was demonstrated using a representative sample of 21 oligonucleotides 4–16 nucleotides long with a GC content of 14–100 %. Error of the calculation of the thermodynamic parameters was 11.4, 12.9, and 11.8 % for ∆H°, ∆S°, and ∆G37° , respectively, and the melting temperature was predicted with an average error of 5.5 °C. Such high accuracy of computations is comparable with the accuracy of the experimental approach and of other methods for calculating the energy of NA duplex formation. In this paper, the use of WHAM for computation of the energy of DNA duplex formation was systematically investigated for the first time. Our results show that a reliable calculation of the hybridization parameters of new NA derivatives is possible, including derivatives not yet synthesized. This work opens up new horizons for a rational design of constructs based on NAs for solving problems in biomedicine and biotechnology.
Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods
Authors: Komyshev E. G. , Genaev M. A. , Busov I. D. , Kozhekin M. V. , Artemenko N. V. , Glagoleva A.  Y. , Koval V. S. , Afonnikov D. A. 
Published: December 2023

The pigment composition of plant seed coat affects important properties such as resistance to pathogens, pre-harvest sprouting, and mechanical hardness. The dark color of barley (Hordeum vulgare L.) grain can be attributed to the synthesis and accumulation of two groups of pigments. Blue and purple grain color is associated with the biosynthesis of anthocyanins. Gray and black grain color is caused by melanin. These pigments may accumulate in the grain shells both individually and together. Therefore, it is difficult to visually distinguish which pigments are responsible for the dark color of the grain. Chemical methods are used to accurately determine the presence/absence of pigments; however, they are expensive and labor-intensive. Therefore, the development of a new method for quickly assessing the presence of pigments in the grain would help in investigating the mechanisms of genetic control of the pigment composition of barley grains. In this work, we developed a method for assessing the presence or absence of anthocyanins and melanin in the barley grain shell based on digital image analysis using computer vision and machine learning algo rithms. A protocol was developed to obtain digital RGB images of barley grains. Using this protocol, a total of 972 images were acquired for 108 barley accessions. Seed coat from these accessions may contain anthocyanins, melanins, or pigments of both types. Chemical methods were used to accurately determine the pigment content of the grains. Four models based on computer vision techniques and convolutional neural networks of different architectures were developed to predict grain pigment composition from images. The U-Net network model based on the EfficientNetB0 topology showed the best performance in the holdout set (the value of the “accuracy” parameter was 0.821).
The Effect of Profit-Sharing on Productivity of Micro, Small, and Medium Enterprises (MSME) in Indonesia
Authors: Dhonna Widya Poernamasari  
Published: December 2023

Research on the effect of profit-sharing on large-scale enterprise productivity has been done in many countries. But previous study found an inconsistent results, that is profit sharing is not significantly influence productivity of MSMEs. This research aims to deepen more about the reason is this profit-sharing in its application have or don’t have a significant impact in increasing productivity of Micro and Small Enterprises in Indonesia. The qualitative research method used in this research is through in-depth interview techniques to seven respondents who are MSME entrepreneurs in the manufacturing sector with product types that vary between respondents. The purpose of this interview is to gather information about the system of wages and distribution of bonuses in MSMEs, which have different characteristics from large industries in general. The interview results show that there is profit sharing in Indonesia MSMEs, but it is not considered as financial compensation or work bonus that leads to the next performance target. However, most of them interpreted as "kindness" from MSME owners in form of financial or non-financial benefits. This research brings research implication that profit sharing on MSMEs are unique and can be applied in many forms. Even though in previous quantitative study, profit sharing is stated as not significantly influence the MSMEs productivity and performance, In some cases, profit sharing is proven to increase the motivation and loyalty of employees.
Development of Discharge Planning for Stroke Patients
Authors: Muhammad Imron Rosadi Mujib  , Fitri Arofiati  
Published: December 2023

Highlights:
1. Given the frequent long-term complications of stroke, this study identified the ideal approach to discharge planning to improve the quality of life of patients and hospital care.2. This study provides evidence supporting the effectiveness of a conventional discharge planning approach that incorporates specific educational intervention with interactive learning through audiovisual media.3. The approaches presented in this study may offer valuable perspectives on enhancing health service provisions, particularly regarding the discharge planning process for nurses.

Abstract
The quality improvement of discharge planning is essential throughout the development of discharge planning, which guarantees a seamless transition of care for stroke patients and family preparedness. This systematic review aimed to analyze the development of discharge planning and its impact on stroke patients and their families. The research was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligible pieces of literature were compiled from seven electronic databases, i.e., ScienceDirect, Scopus, PubMed, EBSCOhost, ProQuest, SAGE Journals, and Google Scholar. The literature search was performed using predetermined search terms, with specific criteria that included papers exclusively published in English and studies conducted in 2018–2022. The development of discharge planning showed a significant impact on stroke patients, as it could influence various aspects of their quality of life. This included improvements in physiological function, enhanced cognitive knowledge, increased satisfaction and self-efficacy, reduced stress levels and care burden, and the opportunity for families to adequately prepare for home-based patient care. This study concluded that integrating conventional with technology-based media is effective for developing discharge plans for stroke patients. The implementation of this novel approach in a health system can improve patient outcomes, family preparedness when providing care, and the quality of hospital care.
FACTORS INFLUENCING EXPECTANT MOTHERS' CONTINUED USE OF DIGITAL HEALTH INFORMATION
Authors: Ofori Philomina Pomaah , Kubuga Kumangkem Kennedy , Louis Dominic Kofi 
Published: December 2023

Background: Expectant women receive healthcare education at antenatal care (ANC) clinics, but it is noteworthy that expectant mothers tend to seek information from various sources beyond their primary healthcare providers.
Aims: The study aims to investigate determinants influencing expectant mothers' continuous use of digital media for pregnancy information.
Methods: The study involves participants of expectant women who attend ANC clinics in five municipal hospitals. The hypotheses were tested with 580 responses using Structural Equation Modeling (SEM) via SmartPLS version 4.
Results: The findings revealed that social media healthcare information usage, perceived severity, and emotional support on social media influence expectant mothers' decisions to continue using digital media for healthcare purposes. However, the effect of perceived vulnerability on social media healthcare information usage was insignificant.
Conclusion: This study concludes that expectant mothers will continue to adopt digital platforms to access healthcare information. The findings provide recommendations to help healthcare providers advance antenatal care.
Keywords: Emotional support, healthcare, expectant women, SMHIC, social media
A LONG AND WINDING ROAD OF THE TOBACCO-FREE AREAS IMPLEMENTATION IN SEMARANG
Authors: Handayani Novia , Widjanarko Bagoes , Cahyo Kusyogo , Ahsan Abdillah , Kusuma Dian 
Published: December 2023

Background: The Tobacco-Free Areas (TFA) policy is an effective way to control the negative effects of smoking on the community, especially passive smokers. Semarang has had a TFA policy since 2013. However, some people still smoke freely in some areas, such as workplaces, kindergartens, and other public places.
Aims: Identifying the implementation of Semarang City Local Government Regulation Number 3 of 2013 concerning Tobacco-Free Areas.
Methods: This was qualitative research using the case study method. Data were collected using in-depth interviews with some key informants according to the inclusion criteria. Triangulation was conducted through observation and in-depth interviews with some informants. Data were analyzed using content analysis.
Results: Some violations still occurred, mostly at the workplace and educational places, including government offices and schools. Violations happened due to inadequate support of the office’s heads, insufficient workers and the society’s awareness, policy rejection, inadequate financial support, lack of media exposure, and obscurity of the regulation articles, which led to misinterpretation. For example, Article 7, verse 3 states that the TFA regulation will be regulated by the mayor's decree. This statement weakens the regulation itself since the mayor's decree is not as strong as the local regulation.
Conclusion: The implementation of Semarang City Local Government Regulation Number 3 of 2013 concerning Tobacco-Free Areas has not been carried out properly in all of the TFA areas. Violations were still found in many areas.
Keywords: regulation, secondhand smokers, smoking, tobacco-free areas
QSAR ANALYSIS USING SEMI-EMPIRICAL AM1 METHOD, MOLECULAR DOCKING, AND ADMET STUDIES OF CHALCONE DERIVATIVES AS ANTIMALARIAL COMPOUNDS
Authors: Kurniawan Muhammad Akbar S , Baari Muhamad Jalil , Sariyanti Sariyanti , Finarisnawati Finarisnawati 
Published: December 2023

Malaria is a serious caused by protozoan parasites such as Plasmodium groups and has fatal consequences for human health. The increase in the resistance of the Plasmodium parasites toward existing antimalarial drugs prompts the exploration of novel compounds. In this study, quantitative structure-activity relationship (QSAR) analysis using the semi-empirical AM1 method was conducted to identify the optimal model that relates physicochemical properties and biological activity of chalcone derivatives. In addition, ADMET prediction and molecular docking were also carried out. Multilinear regression calculations for statistical parameters of QSAR models revealed that Model 4, with 11 independent variables, provided the best predictions and exhibited a robust correlation with antimalarial activity represented by inhibitory concentration (IC50). ADMET predictions indicated favorable absorption, distribution, metabolism, excretion, and toxicity properties, particularly for B2D, showing promising antimalarial attributes. Molecular docking studies targeting 5 mutated PfDHODH proteins revealed B2D’s potential to reach therapeutic targets efficiently. It has low docking scores for mutations I (-10.5 kcal/mol), II (-8.6 kcal/mol), and V (-10.5 kcal/mol) with RMSD < 2Å, in carrying out its role for antimalarial activity. This research successfully identifies B2D as an efficient inhibitor of PfDHODH receptors. Thus, it is a highly promising novel antimalarial drug.
Does Profitability, Liquidity, Leverage, and Productivity Affect Sukuk Ratings? Evidence from Islamic Banks in Indonesia
Authors: Sutriawati Sutriawati , Fithria Annisa 
Published: December 2023

ABSTRACT This study aimed to evaluate the impact of profitability, liquidity, leverage, and productivity on Sukuk ratings within the banking sector. The study focused on Islamic Commercial Banks and Islamic Business Units in Indonesia. A purposive sampling technique was employed to select a dataset of 80 observations from Islamic Commercial Banks and Islamic Business Units rated by PT. PEFINDO between 2015 and 2019. Secondary data for the study were gathered from financial reports on the official websites of the mentioned entities and Sukuk or bond ratings issued by PT. PEFINDO, accessible through its website. The analysis utilized multiple regression analysis. The research findings indicate that profitability, liquidity, and leverage negatively impact Sukuk ratings, whereas productivity does not show a significant influence. This study contributed a distinctive approach to comprehending Sukuk ratings by thoroughly analyzing four crucial independent variables, emphasizing the Indonesian banking sector. However, the study's generalizability is limited due to its restricted timeframe and reliance on secondary data. Keywords: Profitability, Liquidity, Leverage, Productivity, Sukuk Rating ABSTRAK Penelitian ini bertujuan untuk mengevaluasi dampak profitabilitas, likuiditas, leverage, dan produktivitas terhadap peringkat Sukuk dalam sektor perbankan, khusunya pada Bank Umum Syariah dan Unit Usaha Syariah di Indonesia. Teknik purposive sampling digunakan untuk memilih kumpulan data sebanyak 80 observasi dari Bank Umum Syariah dan Unit Usaha Syariah yang dinilai oleh PT. PEFINDO antara tahun 2015 dan 2019. Data sekunder untuk penelitian ini dikumpulkan dari laporan keuangan yang tersedia di situs resmi entitas yang disebutkan dan peringkat Sukuk atau obligasi yang dikeluarkan oleh PT. PEFINDO, yang dapat diakses melalui situs webnya. Analisis menggunakan analisis regresi berganda. Temuan penelitian menunjukkan bahwa profitabilitas, likuiditas, dan leverage berdampak negatif pada peringkat Sukuk, sementara produktivitas tidak menunjukkan pengaruh yang signifikan. Penelitian ini memberikan pendekatan yang khas dalam memahami peringkat Sukuk dengan menganalisis secara menyeluruh empat variabel independen penting, dengan menekankan sektor perbankan Indonesia. Namun, generalisabilitas penelitian ini terbatas karena batasan waktu yang terbatas dan ketergantungan pada data sekunder. Kata Kunci: Profitabilitas, Likuiditas, Leverage, Produktivitas, Peringkat Sukuk