bluuebunny/crossref_metadata_2025 huggingface dataset:
Activation behavior of 4-AcNH-TEMPO by ClO2 for selective oxidation of cellulose in DMAc/LiCl system
Authors: Zhao Yao , Wang Xueping , Li Bowen , Si Tian , Gao Xin , Peng Lincai , Zhang Heng
Published: August 2024

The cellulose catalytic oxidation system mainly comprises of inorganic ion-based oxidants. Hence, the selective oxidation of C6−primary hydroxyls (C6-OH) of cellulose, catalyzed by piperidine free radicals, was limited to the homogeneous cellulosic system containing protic solvents or heterogeneous system. In this work, use of the catalytic system containing 4-acetamido-2,2,6,6-tetramethylpiperidine 1-oxyl (4-AcNH-TEMPO) was extended to the cellulosic solution in N, N-dimethylacetamide (DMAc) and combined with chlorine dioxide. Results showed that the carboxyl content was 0.832 mmol/g. Meanwhile, the degree of polymerization decreased slightly from 900 to 489. This study provides an effective route for the homogeneous selective oxidation of primary hydroxyl groups in cellulose and explored its oxidation mechanism in DMAc solvent. Furthermore, studies showed that the reactive chlorine species- ClO•, Cl•, and ClO2 played a crucial role in the oxidation process. The methodology developed here displayed great potential to be utilized to various biomolecules in aprotic solvents homogeneous system based on 4-AcNH-TEMPO as oxidation catalysts.
Groundwater in southwestern Buenos Aires, Argentina: conditioning factors of the phreatic sandy aquifer for the supply to the town of Médanos
Authors: Rey Matías , Ruffo Andrés Gabriel
Published: August 2024

Groundwater quality and quantity are critical issues in semi-arid regions, where it often serves as the sole water source. The study area is located in the Villarino district, Buenos Aires, Argentina, featuring a dune chain with high infiltration capacity, leading to variable hydrochemical conditions. The town of Médanos relies on a phreatic aquifer within this eolian dune chain for its supply, with water quality being influenced by well location and depth, with the occasional presence of undesirable ions. This study aims to determine the hydrogeological conditions and limitants of the aquifer in the area, using well surveys, in-situ measurements, physicochemical analyses, and electrical resistivity tomographies (ERT). Results indicate a hydrochemical stratification, with low salinity water lens overlying more saline water. Groundwater conductivity varies, with lowest values in central and southwestern preferential recharge areas and higher values near discharge zones. Chloride content follows a similar pattern. Saturated thicknesses of fresh water, determined by means of ERTs, vary significantly, revealing potential paleochannels that could act as preferential zones for future wells. Analysis of existing pumping fields shows that well location and depth critically affect water yield and quality. The Mascota pumping field, with the highest fresh water saturated thickness, provides the best water quality and yield, while Las Escobas field faces issues of low yield (due to low saturated thickness) and interference among wells. This emphasizes the importance of these kind of studies for the strategic well placement and depth to improve water supply quality and sustainability for the town of Médanos.
Maternal and infant health literacy status and influencing factors in pregnant women in Chongqing, China: a cross-sectional study
Authors: yang hong , Zhang Ling , Ren Li , Huang Ping , Huang Guihua , Li Haiyan , Tan Jing , Xu Xiaoyan , Wu Lichang , Cao Lixian , Yang Xuemei
Published: August 2024

Background
Maternal and infant health literacy (MIHL) has an important impact on the health of mothers and infants. This study aimed to investigate the level of MIHL and its influencing factors in pregnant women in Chongqing.
Methods
This cross-sectional study collected data between September 2023 and December 2023. Three hospitals with high cooperation and 150 to 200 participants were selected from each district. The proportion of samples in the first, second, and third trimesters was 1:1:1. A sociodemographic questionnaire was used to investigate the demographic and obstetric characteristics, and the level of MIHL was measured using a maternal and child health literacy questionnaire. Binomial logistic regression analysis was used to investigate the effects of demographic and obstetric factors on the level of MIHL.
Results
A total of 1025 women participated in this study. The proportion of pregnant women with MIHL was 7.9%, with a higher level in the essential knowledge dimension. However, there was no significant difference in the level of MIHL in the three subscales (P = 0.070). Furthermore, there was no significant difference in the level of MIHL in different trimesters (P = 0.058), but with a higher level in the first trimester (9.94%) and a lower level in the second trimester (5.19%). Higher educational level (OR = 3.611, 95%CI = 1.489–8.755), worries about the effect of pregnancy on work (OR = 1.899, 95%CI = 1.172–3.078), and attendance at pregnancy school (OR = 3.153, 95%CI = 1.625–6.116) were favorable factors for the level of MIHL. Participants from town groups (OR = 0.264, 95CI = 0.159–0.439), ethnic minorities (OR = 0.213, 95CI = 0.075–0.607), and abnormal results of prenatal screening (OR = 0.288, 95CI = 0.087–0.953) were risk factors for the level of MIHL.
Conclusions
The MIHL among pregnant women was at low level in Chongqing, and it was positively associated with higher educational level, worries about the effect of pregnancy on work, and attendance at pregnancy school, but was negatively associated with living in town groups, ethnic minorities, and abnormal results of prenatal screening. Based on this evidence, future research could improve the level of MIHL among pregnant women.
CANDI: A Web Server for Predicting Molecular Targets and Pathways of Cannabis-Based Therapeutics
Authors: Ekambaram Srinivasan , Wang Jian , Dokholyan Nikolay V.
Published: August 2024

Background:
Cannabis sativa with a rich history of traditional medicinal use, has garnered significant attention in contemporary research for its potential therapeutic applications in various human diseases, including pain, inflammation, cancer, and osteoarthritis. However, the specific molecular targets and mechanisms underlying the synergistic effects of its diverse phytochemical constituents remain elusive. Understanding these mechanisms is crucial for developing targeted, effective cannabis-based therapies.
Methods:
To investigate the molecular targets and pathways involved in the synergistic effects of cannabis compounds, we utilized DRIFT, a deep learning model that leverages attention-based neural networks to predict compound-target interactions. We considered both whole plant extracts and specific plant-based formulations. Predicted targets were then mapped to the Reactome pathway database to identify the biological processes affected. To facilitate the prediction of molecular targets and associated pathways for any user-specified cannabis formulation, we developed CANDI (Cannabis-derived compound Analysis and Network Discovery Interface), a web-based server. This platform offers a user-friendly interface for researchers and drug developers to explore the therapeutic potential of cannabis compounds.
Results:
Our analysis using DRIFT and CANDI successfully identified numerous molecular targets of cannabis compounds, many of which are involved in pathways relevant to pain, inflammation, cancer, and other diseases. The CANDI server enables researchers to predict the molecular targets and affected pathways for any specific cannabis formulation, providing valuable insights for developing targeted therapies.
Conclusions:
By combining computational approaches with knowledge of traditional cannabis use, we have developed the CANDI server, a tool that allows us to harness the therapeutic potential of cannabis compounds for the effective treatment of various disorders. By bridging traditional pharmaceutical development with cannabis-based medicine, we propose a novel approach for botanical-based treatment modalities.
Fabrication of helical flutes on the micro-drill surface by micro-EDM using composite disc foil electrodes
Authors: Xu Bin , Liu Weitong , Lian Manqun , Lei Jianguo , Wu Xiaoyu , Fu Lianyu , Zhao Chunyang , Zhang Canbin
Published: August 2024

Micro-drills have been widely used in the micro-hole machining of printed circuit boards. The helical flutes are the key feature of the micro-drills, and play an important role in chip discharge. Precision grinding is the most popular technology for machining the spiral flutes in micro-drills. Grinding is a contact machining technology, which means that a grinding force is inevitably generated during the process. When the diameter of the micro-drill is minimal (Φ ≤ 100 µm), the grinding force can easily cause deformation or even fracture of the micro-drill, leading to a decreased yield. Focusing on the above problem, this paper proposed to apply micro-EDM for machine the helical flute structure on the surface of micro-drill using a beryllium-copper-tin composite disc foil electrode (CDFE). Micro-EDM is a kind of non-contact machining, which can effectively avoid the disadvantage of grinding the helical flute of micro-drill. Through an orthogonal experiment, the effect of the rotation velocity of the CDFE, machining voltage and pulse duration ratio on the machining quality of the helical flute was analyzed in detail. Finally, with 4000 r/min CDFE rotation velocity, 24 V machining voltage, 1 µs pulse duration and 3 µs pulse interval, a helical flute structure with a surface roughness Ra of 0.381 µm was successfully machined on the surface of micro-drill with a diameter of 70 µm.
On the Effectiveness of the `Follow-the-Sun' Strategy in Mitigating the Carbon Footprint of AI in Cloud Instances
Authors: Vergallo Roberto , Cruz Luís , Errico Alessio , Mainetti Luca
Published: August 2024

''Follow-the-Sun'' (FtS) is a theoretical computational model aimed at minimizing the carbon footprint of computer workloads. It involves dynamically moving workloads to regions with cleaner energy sources as demand increases and energy production relies more on fossil fuels. With the significant power consumption of Artificial Intelligence (AI) being a subject of extensive debate, FtS is proposed as a strategy to mitigate the carbon footprint of training AI models. However, the literature lacks scientific evidence on the advantages of FtS to mitigate the carbon footprint of AI workloads. In this paper, we present the results of an experiment conducted in a partial synthetic scenario to address this research gap. We benchmarked four AI algorithms in the anomaly detection domain and measured the differences in carbon emissions in four cases: no strategy, FtS, and two strategies previously introduced in the state of the art, namely Flexible Start and Pause and Resume. To conduct our experiment, we utilized historical carbon intensity data from the year 2021 for seven European cities. Our results demonstrate that the FtS strategy not only achieves average reductions of up to 14.6% in carbon emissions (with peaks of 16.3%) but also helps in preserving the time needed for training.
A blockchain cross-chain transaction scheme based on atomic swap
Authors: Tian Hongliang , Li Zuoqing , Lei Jin , Huang Guangtao , Li Meiruo
Published: August 2024

Poor privacy and low efficiency of cross-chain transactions are significant problems in the existing blockchain cross-chain schemes. A blockchain cross-chain transaction scheme based on atomic swap is proposed to solve these problems. The matching of cross-chain transactions is achieved by the cross-chain smart contract RCSC deployed on the relay chain. The RS algorithm is constructed by combining the ring signature algorithm with the sharding mechanism to realize the user information hiding. The off-chain storage of cross-chain transaction data is implemented through the IPFS, and the verification of transaction data is completed by SPV lightweight nodes. Experimental results demonstrate that the proposed scheme can effectively protect the anonymous information of both parties in the transaction. The efficiency of the signature and asset verification phase is significantly improved, and the performance of cross-chain transactions is also enhanced.
Pozzolanic Cement-Sand Mortar with Graphene Oxide nano-sheet: An Experimental Study on Strength, Durability and Microstructural Properties
Authors: Biswas Surajit , Hossain Sk. Aakash , Mandal Saroj
Published: August 2024

Graphene oxide (GO) is a recently developed 2D, single-layered carbon-based nano-material. It has garnered much attention in the scientific community as a reinforcing agent in cementitious composites. In the present work, it has been found that the morphology of cement mortar with Portland Pozzolana Cement (PPC) has been modified, and thus the mechanical and durability qualities have been enhanced. With 0.03% of GO addition, the maximum fluidity of the PPC-based mortar was lowered by 18% compared to the control. With the addition of 0.04% GO, the mechanical parameters, such as compressive strength, split tensile strength, and flexural strength, of mortar enhanced by 12%, 22%, and 32%, after 28 days of curing, respectively. It was also observed that the inclusion of GO in mortar decreased the rate of water absorption and RCPT values and thus boosted the resistance to acid assaults. By using XRD, FESEM, and EDS analysis, it was possible to determine the morphological enhancement of cement-sand mortar with GO caused by the development of new hydration products.
Chromosome-Level Genome Assembly Unveils the Molecular Mechanisms Underlying Disease Resistance in Ulmus parvifolia
Authors: Lyu Yun-Zhou , Sun Hai-Nan , Yan Rui-Chang , Shi Jiang-tao , Huang Li-Bin , Wang Gang , Dong Xiao-Yun , Xing Wei
Published: August 2024

The absence of a comprehensive genome assembly for Ulmus parvifolia hinders advancements in scientific research and practical breeding efforts, ultimately affecting the cultivation of elm varieties with enhanced resistance to diseases. In this study, we presented a high-quality chromosome-level genome assembly of U. parvifolia by integrating various sequencing approaches. We discovered that the U. parvifolia genome is more than twice the size of Ulmus americana, primarily due to the large-scale amplification of long terminal repeat (LTR) retrotransposons. Phylogenetic analysis positioned U. parvifolia in a closer evolutionary relationship with Moraceae, followed by Cannabaceae, Rhamnaceae, and Rosaceae. Notably, gene families associated with disease resistance and immune response were significantly expanded in U. parvifolia, pointing to an adaptive evolution to various biotic and abiotic stresses. Chromosomal evolution analysis indicated a possible whole-genome triplication event in the evolutionary history of U. parvifolia. To study the differing susceptibility of U. parvifolia and U. americana to Dutch elm disease, we inoculated both elms with Ceratocystis ulmi and performed comparative transcriptomes analyses at 48, 96, and 144 hours post-inoculation. The results showed that several plant defense and immune response pathways were more highly expressed in U. parvifolia at 48 and 96 hours post-inoculation, implying a potential genetic basis for its higher resistance to Dutch elm disease. Our study represents an advancement in the genomic understanding of U. parvifolia, and especially sheds light on the genetic underpinnings of disease resistance in elms, and provides a foundation for future research into elm breeding for disease resistance and conservation efforts.
Impaired ketogenesis in Leydig Cells drives testicular aging
Authors: Xiang Andy Peng , Liu Congyuan , Peng Hao , Yu Jiajie , Chen Hong , Luo Peng , Ma Yuanchen , Ou Wangsheng , Zhang Suyuan , Yang Cuifeng , Fan Hang , Zhao Lerong , Zhang Yuchen , Guo Xiaolu , Ke Qiong , Wang Tao , Deng Chunhua , Li Weiqiang , Xia Kai
Published: August 2024

Testicular aging commonly leads to testosterone deficiency and impaired spermatogenesis, yet the underlying mechanisms remain elusive. Here, a comprehensive analysis of senescence landscapes in mice testes during aging revealed that the Leydig cells (LCs) are particularly vulnerable to aging processes. Single-cell RNA sequencing identified the expression of Hmgcs2 (3-hydroxy-3-methylglutaryl-CoA synthetase 2), the gene encoding the rate-limiting enzyme of ketogenesis, decreased significantly in LCs from aged mice. Additionally, the concentrations of ketone bodies β-hydroxybutyric acid (BHB) and acetoacetic acid (AcAc) in the young testes were substantially higher than that in serum, but significantly diminished in aged testes. Silencing of Hmgcs2 in young LCs resulted in decreased ketone body production, which in turn drived LCs senescence and accelerated testicular aging. Mechanically, BHB acted as an endogenous inhibitor of histone deacetylase 1 to upregulate the expression of Foxo3a by promoting histone acetylation, thereby mitigating LCssenescence and promoting testosterone production. Consistently, enhanced ketogenesis by genetic manipulation or oral BHB supplementation alleviated LCs senescence and ameliorated testicular aging in aged mice. These findings highlight defective ketogenesis as a pivotal factor in testicular aging, suggesting novel therapeutic avenues for addressing age-related testicular dysfunction.
Chromogranin A Deficiency Attenuates Tauopathy by Altering Epinephrine–Alpha-Adrenergic Receptor Signaling
Authors: Mahata Sushil , Jati Suborno , Munoz-Mayorga Daniel , Shahabi Shandy , Tang Kechun , Tao Yuren , Dickson Dennis , Litvan Irene , Ghosh Gourisankar , Chen Xu
Published: August 2024

Metabolic disorders such as insulin resistance and hypertension are potential risk factors for aging and neurodegenerative diseases. These conditions are reversed in Chromogranin A knockout (CgA-KO) mice. This study investigates the role of CgA in Alzheimer’s disease (AD) and corticobasal degeneration (CBD). CgA ablation in tauopathy mice (hTau) (CgA-KO/hTau) exhibited reduced tau aggregation, spreading, extended lifespan, and improved cognitive function. Transcriptomic and metabolite analysis of mouse cortices revealed altered alpha1-adrenergic receptors (Adra1) and high epinephrine (EPI) levels in hTau mice compared to WT mice, mirroring observations in AD and CBD patients. CgA-KO/hTau mice exhibited a reversal of EPI levels in the cortex and the expression of Adra1, nearly returning them to WT levels. Treatment of hippocampal slices with EPI or Adra1 agonist intensified, while an Adra1 antagonist inhibited tau hyperphosphorylation and aggregation. These findings highlight the interplay between the EPI-Adra signaling system and CgA in tauopathy.
Determination of both the expression and serum levels of epidermal growth factor (EGF) and transforming growth factor-β1 (TGFβ1) genes in SARS-CoV- 2 Running title: SARS coronavirus-2 and EGF- TGFβ1
Authors: Gülhan Pınar Yıldız , Eröz Recep , Öztürk Cihadiye Elif , Yekenkurul Dilek , Altınsoy Hasan Baki , Balbay Ege Güleç , Erçelik Merve , Davran Fatih , Yıldız Şeyma
Published: August 2024

Aim: We aimed to evaluate the effects of both the expression and serum levels of Epidermal growth factor (EGF) and Transforming growth factor-β1 (TGF-β1) genes that can lead to fibrosis SARS-CoV-2, which has different degrees of cellular damage as mild, moderate, severe, and critical illness.
Method: Totally 45 individuals (male:21(46.67%); female:24(53.33%)) with COVID-19 infection were included in this study. Four groups were constituted as mild (n=16)], moderate(n=10), severe(n=10), and critical(n=9) according to the severity of the disease. Blood samples were drawn from the patients, and hemograms, EGF and TGFβ1 gene expression, and serum levels were evaluated.
Results: The mean age of individuals was 57.311±18.383 (min:28, max:94). Significant differences were found among the groups for PLT (χ 2=9.955; p=0.019), CRP (χ 2=7.693; p=0.053), Ferritin (χ 2=22.196; p<0.001), D-dimer (χ 2=21.982; p=0.000), LDH (χ 2=21.807; p<0.001) and all these parameters (exclude PLT in severe groups) was increased depending on the severity of the disease. Additionally, significant differences were detected for EGF (χ 2=29.528; p<0.001), TGFB1 (χ 2=28.981; p<0.001) expression (that increased depending on the disease severity), and EGF(χ 2=7.84; p=0.049), TGFB1 (χ 2=17.451; p=0.001) serum concentration levels (that decreased depending on the disease severity).
Conclusion: This study found statistically significant differences for both EGF 2-ΔΔCt. TGFβ1 2-ΔΔCt and EGF, TGFβ1 serum concentration values among all patient groups. As disease severity increased, EGF 2-ΔΔCt. TGFβ1 2-ΔΔCt levels increased, while EGF and TGFβ1 serum concentration levels decreased. Perhaps this study will be useful in managing COVID-19 infection severity and pulmonary fibrosis cases secondary to COVID-19.
Development And Method Validation Of An Anti-Viral Drug Sofosbuvir And Its Formulation
Authors: Doshi Ankit Dinesh
Published: August 2024

Background: For the purpose of measuring sofosbuvir, a number of sensitive, quick, and easy analytical techniques, including RP-HPLC and UV-visible spectrophotometry, have been developed and validated. This study provides comprehensive information on stability, outlining all the scientific steps involved, from choosing the solvent, buffer, and wavelength needed to using appropriate parameters and creating standard solutions.
Through experimentation, it was found that a 30:70 ratio of 0.01 M KH2PO4 to acetonitrile pH 3.0 (containing ortho phosphoric acid) was the best mobile phase for analysis. Maximum absorbance was also found at 264 nm in wavelength. Following that, the best analytical development method was verified in accordance with ICH recommendations for linearity, accuracy, precision, and ruggedness, and outstanding results were obtained from all requirements.
Result: The results showed that the linearity ranged from 5 to 25 µg mL, the intraday to intraday precision percentage ranged from 0.7477 to 0.8299, and the recovery percentage at 100% accuracy was found to be 0.208%.
Conclusion: In conclusion, the approach utilized for analytical development and validation has proven to be very dependable, cost-effective, and repeatable. It has the potential to enhance and improve the quality control division of pharmaceutical companies.
A new multidimensional graduate work readiness scale: An exploratory study of its factor structure and reliability
Authors: Peersia Kamini , Rappa Natasha Anne , Perry Laura B.
Published: August 2024

Graduate work readiness (GWR) has become increasingly important as countries capitalise on skilled workers’ contribution to economic growth. The GWR discourse has matured; however, the literature highlights a need for more conceptual clarity to develop skills and sound measurement tools. This study aimed to devise a new GWR scale to address this discrepancy. It defines a theoretical model as a foundation for developing a GWR scale and uses an exploratory sequential mixed methods design to investigate its underlying factor structure. Phase 1 drew from extant literature to establish a coherent theoretical model with comprehensive definitions. Phase 2, the scale development, started with an extensive item pool development, which labour market stakeholders (n = 17) reviewed. A Bayesian Exploratory Factor Analysis with observations (n = 101) from an employer survey revealed four underlying latent constructs: cognitive, metacognition, interpersonal, and intrapersonal skills. Reliability tests indicate good instrument internal consistency. This paper provides initial evidence of a multidimensional GWR scale and its psychometric properties. For reproducibility and generalisability, further studies can determine the validity of this hypothetical factor structure and investigate the relationships between factors.
In vitro and in silico Antifungal Activity of Metabolites from Bredemeyera brevifolia (Benth.) Klotzsch ex A.W. Benn.
Authors: S. Barreto Rubens , M. da Costa Diego , S. Sousa Jailan , S. de Jesus Vilisaimon , P. da Silva Agnaldo , S. Buonafina-Paz Maria Daniela , A. G. dos Santos Franz , P. Neves Rejane , F. B. Pastore José , S. Andrade Bruno , R. A. Soares Wagner , N. Brandão Hugo , M. Aguiar Rosane , Q. Alves Clayton
Published: August 2024

Bredemeyera Willd. is a genus of the Polygalaceae family, occurring in Brazil. This research aims to evaluate the phytochemical and antifungal potential, in vitro and in silico, of Bredemeyera brevifolia extracts. The identification of fatty acids by gas chromatography-mass spectrometry and their quantification by gas chromatography-f﻿lame ionization detector showed that palmitic (36.55 mg g-1), margaric (3.66 mg g-1), linolelaidic (108.82 mg g-1), oleic (7.86 mg g-1), stearic (41.11 mg g-1), dihomo-γ-linolenic (85.48 mg g-1), and arachidic (209.00 mg g-1) acids are present in the hexane extract. From the chloroform extract, 1-hydroxy-3,7-dimethoxyxanthone was isolated and identified. The minimum inhibitory concentration assay with methanolic extract demonstrated antifungal activity against species of the genus Candida, Sporothrix, and Trichophyton for up to 96 h, with values ranging from 64-1024 μg mL-1. The in silico study with the chemical compounds of this species showed fungal inhibition potential of sterol14-α-demethylase, highlighting 1-hydroxy-3,7-dimethoxyxanthone, which presented an affinity energy of -8.8 kcal mol-1, greater than that observed for fluconazole (-8.3 kcal mol-1). The fatty acids interacted with the active site of the enzyme but presented energies ≥ -7.4 kcal mol-1. Compounds isolated from this species have pharmacokinetic potential for the development of pharmaceutical formulations.
Pengaruh Rekrutmen dan Seleksi pada Kompensasi Langsung dan Kinerja Karyawan di Industri Tekstil
Authors: Sundjoto Sundjoto
Published: August 2024

To face an increasingly stringent environment and also try to gain influence from the free market in Indonesia, the textile industry must prepare its human resources and expect them to emerge from conditions of tight competition, especially from the work ability or performance utilized to support company activities and provide added value on the products produced. This research is aimed at finding out the effect of selection and recruitment on employee compensation and performance where the data collection testing technique was carried out using Structural Equation Modeling using AMOS V.4.01. This research was conducted at several textile companies in the East Java region. The number of respondents taken for this research was 120 people from all of the textile company employees who were the research subjects. The scientific findings of this research show that all variables are estimated to have a significant influence on employee performance and show that employee performance cannot be achieved optimally without determining compensation first.
The Magic of Product Quality, Price, And Customer Satisfaction on Customer Loyalty
Authors: Andriana Ririn , Witara Ketut , Sri Lestari Aprilia Winda
Published: August 2024

The primary objective of this study is to examine how productquality and price influence customer loyalty using customer satisfaction among Madame Gie Official Shop's Shopee consumers. The research methodology employed is quantitative to establish the significance of relationships between the variables under investigation. The population for this study consists of all customers of Madame Gie Official Shop on Shopee. The sample size is 100 individuals selected through purposive sampling.The respondents are females aged at least 17 years, who have made a minimum of 2 purchases on Madame Gie Official Shop's Shopee page. Data was collected using observation, questionnaires, analyzed through path analysis. Results show significant partial impacts of product quality and price on customer satisfaction and customer loyalty, with product quality and price affecting customer loyalty through customer satisfaction.
The Impact of Digital Marketing, Financial Literacy, And Digital Literacy on Purchasing Intent for Online Products
Authors: Cahyono Tomy Dwi , Rizqi Reza Muhammad
Published: August 2024

The swift advancement of technology has greatly influenced how humans engage with technology, leading to fundamental changes in communication and transactions. This has led to substantial prospects for the expansion of e-commerce in Indonesia. This study aims to elucidate the impact of digital marketing, financial literacy, and digital literacy on online product purchasing decisions. This study utilized an associative quantitative method utilizing structural equation modeling-partial least square (SEM-PLS). The study employed purposive sampling to choose a sample of 100 students from the Faculty of Economics and Business at Sumbawa University of Technology. Data is collected through a questionnaire distributed using a Google Form. The study shows that digital marketing, financial literacy, and digital literacy have a partial impact on the interest in purchasing things online. This highlights the significance of employing efficient digital marketing methods and consumers' comprehension of finance and information technology to enhance their inclination towards purchasing things online. Companies can boost their sales by prioritizing the enhancement of digital literacy and marketing expertise.
Psychology and education in the 21st century: Analysis of the Russian teachers’ beliefs regarding the use of modern psychological knowledge in practice
Authors:   Psychological Institute of the Russian Academy of Education, Sidneva Anastasia , Chumachenko Dmitriy ,   Moscow State University of Psychology and Education, Kalimullin Aidar ,   Kazan (Volga region) Federal University, Lobanova Anastasia ,   Psychological Institute of the Russian Academy of Education
Published: August 2024

The article proposes an approach to assessing the psychological knowledge of teachers through the analysis of their beliefs regarding the evidence-based principles formulated in the sciences of education in recent years. The study was conducted in 2021/2022 on a sample of Russian school teachers (N = 344, 93.3 % women, 41.7 % from Moscow). The authors’ questionnaire for the study of school teachers’ beliefs was used, based on the 20 evidence-based psychological principles important for teaching and learning, assessing the possession of principles in six areas: the role of the teacher in the effectiveness of learning; lack of faith in myths about teaching and learning; psychologically safe environment; student motivation; classroom management; assessment. The level of teachers’ conviction in the truth of evidence-based psychological principles ranges from 27.9 to 87.9%, while the higher the teacher’s experience, the less likely he believes in such principles and the more often he relies on unsubstantiated statements about teaching and learning. The highest levels of possession of evidence-based psychological knowledge by teachers are demonstrated in blocks related to student assessment and the creation of a psychologically safe environment compared to blocks describing the principles of classroom management, student motivation and the role of the teacher in learning effectiveness. It is also shown that teachers consider psychological knowledge necessary rather in non-standard, difficult practice situations (children with low educational motivation, low level of educational skills, conflicts, strong emotional reactions of students) than in standard situations (preparing and conducting lessons, interacting with students and their parents). The study showed the need for further development of such an approach to the study of psychological knowledge of teachers, which would be based on an assessment of their beliefs in the use of evidence-based psychological principles to resolve specific situations of school practice. The data obtained indicate the need to improve the psychological competence of teachers in general.
Statistical assessment of uncertainty and performance of multiple satellite-based precipitation products in capturing extreme precipitation events across Punjab Province, Pakistan
Authors: Sultan Umar , Laraib Muhammad , Ilyas Muhammad Ahmad , Ahmad Muhammad , Abbas Khawar , Khan Hayat Ullah , Arshed Abu Bakar , Khalid Obaid
Published: August 2024

The changing climate poses a significant danger to both environment and humans. Precipitation stands out as a critical factor for impacting hydrology, ecology, agriculture, and vegetation as well as crucial for maintaining the atmospheric equilibrium. This research examined four satellite-based precipitation products spanning from 2010 to 2018, focusing on assessing the uncertainty associated with these products in Punjab Province, Pakistan. Additionally, a comparative analysis of multi-satellite-derived precipitation data was conducted for the region. Various evaluation metrics, including CC, RMSE, Bias, rBias, and POD, were employed to gauge the performance of these datasets throughout the study area. Our research yielded the following findings: (1) datasets CHIRP and SM2RAIN exhibited the capability of capturing temporal changes observed in precipitation throughout the study area. (2) All satellite-derived datasets displayed superior performance on a monthly basis compared to daily timeframes. (3) On a seasonal scale, CHIRP and SM2RAIN exhibited superior precipitation detection capabilities compared to PERSIANN-CCS and PERSIANN-CDR. (4) CHIRP and SM2RAIN exhibited superior performance across all seasons when compared to PERSIANN-CCS and PERSIANN-CDR. Nonetheless, all products exhibited reasonably accurate detection of light to moderate precipitation events. This study serves to establish a foundation for effective monitoring, mitigation, and decision-making processes.
Despertando o Prazer pela Leitura
Authors: Teixeira Perdigão Rebeca , Tavares de Souza Alessandra , Bianca Moreira dos Reis Lohane , Pereira Samantha
Published: August 2024

Relato de experiência sobre a intervenção em uma escola de Tempo Integral no Amazonas, durante o Estágio Supervisionado em Licenciatura em Ciências: Química e Biologia. Esse relato diz respeito ao período de estágio com enfase em Biologia, com os alunos dos terceiros anos, com intuito de estimular por meio da leitura e interpretaçao de texto os conteúdos de evolução.
Analysis of Key Genes Related to Systemic Lupus Erythematosus and COVID-19
Authors: Guan Rui , Yu Jing , Zheng Jiannan , Zhao Yeyu , Zhang Bolun , Wang Min , Gao Mingli
Published: August 2024

Background:

Systemic Lupus Erythematosus (SLE) is a multifactorial and complex
immune disease; however, the relevance of COVID-19 infection in SLE patients remains uncertain.

Aim:

This study aims to explore the key candidate genes and pathways in patients with SLE. It
also seeks to employ bioinformatics analysis to unravel the molecular signatures inherent in both
SLE and COVID-19 patients. The ultimate aim is to identify potential targets and markers specifically
relevant to SLE patients who contract SARS-CoV-2.

Methods:

Datasets (GSE12374, GSE20864, GSE61635, GSE81622, and GSE144390) from the
Gene Expression Omnibus (GEO) database were analyzed using Robust Rank Aggregation
(RRA) method to identify differential expression genes (DEGs) in SLE patients compared to
healthy individuals. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes
(KEGG) pathway analysis, tissue-specific gene analysis, and Protein-protein interaction (PPI)
network were performed. Finally, the Venn diagram was employed to identify the intersections
of COVID-19 genes, serving as potential targets for SLE patients with COVID-19 infection.

Results:

A total of 154 DEGs were discovered, with GO enrichment indicating a predominant
involvement in the defense response against the virus (P<0.001). KEGG pathway analysis
showed enrichment in the NOD-like receptor signaling pathway and coronavirus disease, specifically
COVID-19 (P<0.001). Tissue-specific genes related to the hematological and immune systems
were emphasized (74%). The PPI network highlighted 22 genes, and 5 key genes, namely,
IFIT1, IFIT3, MX1, MX2, and OAS3, which were identified after intersecting with COVID-19
patients’ data.

Conclusion:

IFIT1, IFIT3, MX1, MX2, and OAS3 exhibiting differential expression, as well as
the pathways associated with COVID-19, could potentially function as biomarkers and therapeutic
targets for individuals with SLE infected with COVID-19.
Advancements in Cancer Therapeutics: Current Paradigms in Applying Biodegradable Polymer Nanoparticles for Enhanced Management
Authors: Grewal Sonam , Deswal Geeta , Chopra Bhawna , Dhingra Ashwani Kumar , Kriplani Priyanka , Guarve Kumar , Grewal Ajmer Singh
Published: August 2024

The development of novel colloidal formulations that can regulate the pharmacological
and biological properties of medications has been made possible by the developments of nanotechnology.
Biodegradable nanoparticles were exploited as drug delivery methods because of their
high bioavailability, improved encapsulation, controlled release, and less toxic characteristics.
Over the past few decades, a variety of synthetic polymers have been investigated for application
in nanomedicine, particularly in drug delivery systems. Drug delivery polymers need to be environmentally
friendly, biodegradable, and biocompatible. As they have the ability to provide targeted
delivery to a specified site, polymeric nanoparticles have the potential to increase the effectiveness
of cancer therapies significantly. It is possible to modify the physical and chemical characteristics
of polymers to provide delivery across the many biological barriers needed to reach different
cell subsets. The use of biodegradable polymers as nanocarriers is particularly appealing since
these materials can be developed to show triggered functionality at certain locations or activated
by an external source in addition to degrading under physiological circumstances. Biodegradable
polymers can be developed as easy drug-delivery systems that specifically target the tumour microenvironment.
This is because these nanomedicines can directly target cancer cells, as well as
blood vessels that supply the nutrition and oxygen required for tumour growth and immune cells
that support anti-cancer immunotherapy. With the advancements in nanotechnology-based drug delivery
systems for pharmaceutical applications, it is exciting to examine and highlight the significance
of polymeric nanocarrier systems for drug delivery in chemotherapy.
Unravelling the Complexities and Recent Advances in the Management of Atopic Dermatitis
Authors: Pandey Vivek , Punniyamoorthy Shirani , Pradhan Samruddhi , Umar Mohammad , Bano Uzma , Pokharel Yuba Raj , Karwasra Ritu , Umar Tarana , Kumar Pawan
Published: August 2024

Atopic dermatitis (AD) is a non-fatal, non-communicable, chronic skin inflammatory
condition marked by itching, lesions, and skin barrier dysfunction. As per the International Eczema
Council, as of 2022, more than 200 million people were suffering from AD, with the disease
burden reported highest in children. Environmental factors, genetic predisposition, and lifestyle
have been found to be essential factors in triggering the adverse skin response. In this review, we
provide a detailed overview of the pathophysiology of AD, how the skin barrier gets altered from
normal condition to AD, and the role of genetic defects in Filaggrin protein, affecting the skin barrier
function by altering the skin pH and hydration. Also, we highlight the role of toll-like receptors
(TLRs) and the altered skin and gut microbiota in inducing chronic inflammatory responses
and playing a significant role in the pathogenesis of the disease. Further, we discuss the role of several
chemokines and cytokines, which could serve as important prognosis markers for early detection,
monitoring the disease progression, and assessing the response to the treatment. We also report
the current treatment regime of multimodal therapeutics ranging from topical emollients to
topical, oral, and injectable immune modulatory agents. Besides, we discuss the importance of the
gut-skin microbiome axis and the increasingly important role of prebiotics in AD treatment.
Modeling of Interpretable Fuzzy Rule-based System for the Classification of Thyroid Disease
Authors: Kant Shashi , Agarwal Devendra , Shukla Praveen Kumar
Published: August 2024

Introduction:

The ability of fuzzy rule-based systems to handle the imprecision
and uncertainty present in real-world problems is quite impressive. The assessment of any
fuzzy rule-based system in itself is a complex task because its performance is dependent on
two parameters, namely accuracy and interpretability. Accuracy is assessed based on quantitative
results, whereas interpretability is entirely subjective and may vary according to domain
expertise.

Methods:

To develop an efficient fuzzy rule-based system, interpretability and accuracy should
be taken into account, along with a good trade-off relationship between them. An interpretable
fuzzy rule-based system has been developed in this paper for the classification of thyroid disease
for an accurate diagnosis and prognosis of the thyroid.

Result:

The knowledge base for the classifier is built using three fuzzy rule induction algorithms
(fuzzy decision tree, Wang Mendel, and fast prototyping) and two membership function
generation schemes (k-means and HFP). Using these rule induction algorithms and membership
functions, six different fuzzy-based classifiers have been suggested to deal with thyroid
disorders, and their performance has been evaluated using accuracy and interpretability parameters.

Conclusion:

Among them, using hfp and kmeans partition with fuzzy decision tree rule induction
algorithm, the classifier attained the highest accuracy of 95.8% and 93.5% with a good interpretability
factor of 0.023 and 0.033, respectively, which shows a quite satisfactory result.
Current Clinical Applications of Regenerative Strategies for Lumbar Degenerative Disc Disease and Global Disease Burden Due to Low Back Pain
Authors: Dowling Álvaro , Asefi Marjan , Moyano Jaime , Ramírez León Jorge Felipe , Lewandrowski Kai-Uwe , López William Omar Contreas
Published: August 2024

Degenerative disc disease, coupled with its consequential low back pain,
presents a profound global health challenge, with efficacious clinical interventions still
being subject to controversy. Cutting-edge strategies are being developed, targeting
both pain mitigation and tissue regeneration. Both concentrated bone marrow aspirate
and mesenchymal stem cells (MSCs) have displayed clinical potential in alleviating
pain associated with degenerative disc disease. By harnessing molecular and genetic
techniques, the utilization of growth factors, cytokines, and the modulation of
autophagy and apoptosis processes offers hope in arresting disease progression,
fostering tissue recuperation, and tempering inflammatory cascades. This chapter
furnishes readers with a contemporary overview of therapeutic and regenerative
modalities in clinical use and succinctly delineates the grading of the extant pinnacle
clinical evidence.
Tanggung Jawab Hukum Rumah Sakit Penyelenggara Telepsikiatri (Telemedicine)
Authors: Ameliawati Agnes Sakura , Djumikasih Djumikasih , Putri Cyndiarnis Cahyaning
Published: August 2024

Clinical procedures have been administered online by psychiatrists without complying with the psychiatric code of conduct. This situation has triggered illicit conduct that takes the victims who suffer from trauma and bruises, while such illegal practices have been found in some other victims who start to raise grievances on social media. Departing from this issue, this research is intended to delve into the negligence and the liability of the hospitals concerned in providing telemedicine services, particularly telepsychiatry within the scope of medical liability. This research aims to analyze the regulation of the liability held by the hospitals giving online mental health care consultation, or commonly dubbed telemedicine with a normative-juridical method and statutory and conceptual approaches. Primary, secondary, and tertiary data were analyzed using grammatical and systematic interpretations. The research results reveal that 1) the practice done by the psychiatrists as delineated above raises liability due to the negligence involved in the medical practice; 2) the hospitals concerned are held liable following the conduct and the nexus between the hospitals and doctors according to Article 193 of Law Number 17 of 2023 concerning the negligence and the provisions of sanctions. Indonesia can adapt sanction provisions from the Health Care Service Act (HCSA) issued by the Ministry of Health Singapore.
Identifying Learning Preferences and Strategies in Health Data Science Courses: Systematic Review (Preprint)
Authors: Rohani Narjes , Sowa Stephen , Manataki Areti
Published: August 2024

BACKGROUND

Learning and teaching interdisciplinary health data science (HDS) is highly challenging, and despite the growing interest in HDS education, little is known about the learning experiences and preferences of HDS students.

OBJECTIVE

We conducted a systematic review to identify learning preferences and strategies in the HDS discipline.

METHODS

We searched 10 bibliographic databases (PubMed, ACM Digital Library, Web of Science, Cochrane Library, Wiley Online Library, ScienceDirect, SpringerLink, EBSCOhost, ERIC, and IEEE Xplore) from the date of inception until June 2023. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and included primary studies written in English that investigated the learning preferences or strategies of students in HDS-related disciplines, such as bioinformatics, at any academic level. Risk of bias was independently assessed by 2 screeners using the Mixed Methods Appraisal Tool, and we used narrative data synthesis to present the study results.

RESULTS

After abstract screening and full-text reviewing of the 849 papers retrieved from the databases, 8 (0.9%) studies, published between 2009 and 2021, were selected for narrative synthesis. The majority of these papers (7/8, 88%) investigated learning preferences, while only 1 (12%) paper studied learning strategies in HDS courses. The systematic review revealed that most HDS learners prefer visual presentations as their primary learning input. In terms of learning process and organization, they mostly tend to follow logical, linear, and sequential steps. Moreover, they focus more on abstract information, rather than detailed and concrete information. Regarding collaboration, HDS students sometimes prefer teamwork, and sometimes they prefer to work alone.

CONCLUSIONS

The studies’ quality, assessed using the Mixed Methods Appraisal Tool, ranged between 73% and 100%, indicating excellent quality overall. However, the number of studies in this area is small, and the results of all studies are based on self-reported data. Therefore, more research needs to be conducted to provide insight into HDS education. We provide some suggestions, such as using learning analytics and educational data mining methods, for conducting future research to address gaps in the literature. We also discuss implications for HDS educators, and we make recommendations for HDS course design; for example, we recommend including visual materials, such as diagrams and videos, and offering step-by-step instructions for students.