bluuebunny/crossref_metadata_2025 huggingface dataset:
SME resilience: Critical financial planning success factors post-COVID-19
Authors: Maharaj Avika , Doorasamy Mishelle
Published: July 2024

Small and medium-sized enterprises (SMEs) are crucial to South Africa’s economy as they provide employment, contribute to development, reduce poverty, and promote entrepreneurship. However, the COVID-19 pandemic has severely impacted SMEs in the country, posing a threat to their survival. The purpose of the study was to identify the financial planning critical success factors that are essential for SME performance in a post-COVID-19 pandemic environment. The study followed a positivist paradigm, and a quantitative survey approach was employed. South African SMEs across the various sectors of business were targeted to provide a holistic view of the financial planning strategies contributing to performance. A total of 282 questionnaires were completed electronically by the SME owners using Google Forms, which were then analyzed using SPSS and Smart PLS software. The regression model for structural equation modeling revealed a strong and significant link between financial planning and SME performance. Financial planning has a strong, significant positive effect on SME performance, as indicated by the path coefficient (β = 0.227, p = 0.002). The importance of this study lies in its ability to provide valuable insights to businesses regarding financial planning strategies to enhance SME success in a post-COVID-19 environment.
Using Bigdata for Choosing the Right Forecasting Method, Dataset and Period in a Time Series Analysis
Authors: Akcan Serap , Akcıl Murat , Özşahin Metin
Published: July 2024

Nowadays especially production companies gathering a huge data due to their daily transactions on the own systems. Production companies should handle this raw data as handling the raw materials too. Today, scientific studies carried out for this purpose are gathered under the title of BigData. The BigData creates many helps to companies’ competitive advantages according to their competitors. For this view, the purpose of this study was to determine the best demand forecasts method and forecasting period by using BigData at forest production industry. Using the time series analysis module of the WEKA program, the algorithm and data set providing the most accurate estimate for each of the selected decor papers were determined. As a result, it is thought that this study will provide a route map for about choosing right data period and forecasting method for the forest products.
Doğaltaş Madenciliğinde Ocak-Fabrika Ortamında Titreşim ve Gürültü Maruziyetinin Araştırılması
Authors: Arıtan Ali Ekrem , Can Muhammed
Published: July 2024

Bu çalışmada; Ülkemiz madenciliğinde önemli yer tutan doğaltaş ocak-tesislerinde, standart/yönetmeliklere uygun alınan titreşim ve gürültü ölçümleri alınmıştır. Elde edilen sonuçlar Gürültü ve Titreşim Yönetmeliğine göre değerlendirilmiştir. Ocaklardan alınan ölçümlerde, sondaj makinesi kullanan operatörlerinin hem tüm vücut titreşimi (4,8 m/s2) hem de gürültü maruziyetinin (89,3 dBA) yüksek olduğu görülmüştür. Fabrikadan alınan gürültü ölçüm değerlerinde ise S/T makinelerinin (90,6 dBA), ebatlama makinelerinden (85,5 dBA) daha fazla gürültüye yol açtıkları ortaya çıkmıştır. Elmas tel kesme makinesi kullanan çalışanların el-kol titreşimi ölçümlerinde elde edilen değerlerde her ne kadar günlük maruziyet sınır değeri olan 5 m/s2 değerinin aşılmadığı görülmüş ise de günlük maruziyet eylem değeri olan 2,5 m/s2’nin iki ocakta aşıldığı görülmüştür. Çalışmada son olarak, yapılan ölçümler sonucunda elde edilen verilerdeki sınır değerlerin üzerindeki değerlerle ilgili olarak ocaklar/fabrikada alınabilecek önlemler sunulmuştur.
The structure of paleoearthquake surface ruptures along the Kubadru Fault (Gorny Altai): Ground-penetrating radar evidence
Authors: Bricheva Svetlana S. ,   Novosibirsk State University, Deev Evgeny V. , Safronov Oleg V. , Entin Andrey L. ,   Institute of Geography of the Russian Academy of Sciences,   Lomonosov Moscow State University,   Novosibirsk State University,   Trofimuk Institute of Petroleum Geology and Geophysics of the Siberian Branch of the Russian Academy of Sciences,   Novosibirsk State University,   Trofimuk Institute of Petroleum Geology and Geophysics of the Siberian Branch of the Russian Academy of Sciences,   Novosibirsk State University,   Lomonosov Moscow State University
Published: July 2024

The Gorny Altai is part of the system of intracontinental Cenozoic orogens that originated from the Eurasia-India collision. There is crustal contraction, which is followed by numerous earthquakes, and the highest concentration of earthquake sources is observed in the south-eastern part of the region. The system of paleoearthquake surface ruptures in the Kubadru Fault Zone was studied at three representative sites using the GPR method in conditions of weakly consolidated coarse clastic deposits in the upper part of the section and permafrost development. UAV aerial photography and trenching supported the geophysical studies. By using a 250 MHz antenna, we determined morphological parameters of paleoseismic scarps with high accuracy and learned about the fault's deep structures up to 8 m. A 100 MHz antenna provided the same information up to 10 m. Identifying active faults by looking for reflection discontinuities and chaotic reflections is not enough. Additional features from GPR datasets are necessary to detail the internal structure of the seismogenic fault zone. These are subvertical high-amplitude zones that can be traced to depths of up to 6-8 metres. The presence of such zones can be explained by the fracturing of rocks and sediments, their waterlogging, the development of processes of seismogenic fluidization of soils. Deposits of colluvial wedges are distinguished on GPR profiles as depressions filled with layered deposits, with a series of parallel inclined reflectors. A 3D GPR survey helped identify paleofaults over a larger area and eliminated errors on individual profiles. The permafrost table sharply limited the depth of sounding. A low frequency of the spectrum, a smooth decrease in amplitudes to minimum values characterized rocks and sediments in the frozen state. Shallow reflections on the GPR profiles correspond to the lithological complexes observed in the trenches. The acquired findings demonstrate the importance of employing geophysics in investigating the surface ruptures of paleoearthquakes both at the stage of determining the location and kinematics of seismogenic ruptures prior to trenching, and at the stage of substantiating the history of the formation of faults.
The Role of the First People’s Commissar of Health N. A. Semashko in the Formation of Social Hygiene as a Subject of Teaching
Authors: Tregubov V. N. ,   Sechenov University
Published: July 2024

The article presents an analysis of archival documents and scientific and methodological literature on the organization by the first People’s Commissar of Health of the RSFSR N. A. Semashko since 1922 of teaching the discipline “Social hygiene” to future doctors at domestic universities. The main directions implemented by Nikolai Alexandrovich in this field are: studying the experience of teaching social hygiene abroad and training students in public medicine and public sanitation in pre-revolutionary Russia; formation of the Department of Social Hygiene at the Medical Faculty of the I Moscow State University, which initially trained students of three Moscow universities; substantiation of the role of the new department among other clinical and preventive disciplines; development of educational and methodological documentation and literature on social hygiene together with close associates; organization of interaction of the Department of Social Hygiene with the State Museum of Social Hygiene created on the initiative of the People’s Commissariat of Health of the RSFSR, which was later transformed into the State Institute of Social Hygiene; opening of a clinic of social and occupational diseases at the Department, etc. The results achieved over several years have significantly improved the attitude of the teaching staff of clinical and preventive disciplines to the Department of Social Hygiene and the training of future doctors there, which over a 100-year period of development has been repeatedly renamed and currently bears the name of its creator — the Department of Public Health and Healthcare named after N. A. Semashko Sechenov University. At this department, students of various medical specialties, graduate students, undergraduates and residents in public health and healthcare are still being trained, and the traditions laid down in the training of doctors are carefully preserved and multiplied.
Determination of the effects of irrigation with recycled wastewater and biochar treatments on crop and soil properties in maize cultivation
Authors: Yerli Caner
Published: July 2024

The study was conducted under two water qualities (fresh water (FW), recycled wastewater (RWW)) and two biochar treatments (no biochar (No-B) and biochar (B)). It was determined that B reduced the actual evapotranspiration by saving irrigation water and that biomass yield increased in RWW and B; thus, RWW and B provided higher WPirrigation and WP. RWW and B increased OM, TN, P2O5, K2O, CEC, porosity, and aggregate stability, thus encouraging the development of the physical–physiological properties, ADF-NDF content, and biomass yields of the crop, but causing EC to increase. RWW and B resulted in higher macro–microelement contents and heavy metal (HM) contamination in the soil; thus, increases were observed in the macro–microelements and the HM content of the crop grown in RWW and B, but the absorption and buffering capacity of B limited the Na–Cd–Cr–Ni uptake of maize. However, the HM contents of the soil–crop did not exceed international standards in all treatments except the Cd content of maize. It was found that the use of B in irrigation with RWW can be recommended, considering the productivity-increasing contribution and the effectiveness of B in reducing the possible HM risks of RWW in maize cultivation, but monitoring the Cd content of maize and the EC of the soil.
Developing and evaluating decision support indicators (DSIs) of climate change impacts on flood and drought: a case study in Western Norway
Authors: Huang Shaochun , Eisner Stephanie , Beldring Stein
Published: July 2024

The decision support indicators (DSIs) are specifically designed to inform local and regional stakeholders on the characteristics of a predicted event to facilitate decision-making. They can be classified as conventional, impact-based and event-based DSIs. This study aims to develop methodologies for calculating event-based DSIs and to evaluate the usefulness of different classes of DSIs for climate impact assessment and climate actions by learning about users' perceptions. The DSIs are calculated based on an ensemble of hydrological projections in western Norway under two representative concentration pathway (RCP) scenarios. The definitions, methodologies and results of the indicators are summarized in questionnaires and evaluated by key stakeholders in terms of understandability, importance, plausibility and applicability. Based on the feedback, we conclude that the conventional DSIs are still preferred by stakeholders and an appropriate selection of conventional DSIs may overcome the understanding problems between the scientists and stakeholders. The DSIs based on well-known historical events are easy to understand and can be a useful tool to convey climate information to the public. However, they are not readily implemented by stakeholders in the decision-making process. The impact-based DSI is generally easy to understand and important but it can be restricted to specific impact sectors.
Comparing the hybrid-lumped-LSTM model with a semi-distributed model for improved hydrological modeling
Authors: Zarei Erfan , Saleh Farzin Nasiri , Dalir Afsaneh Nobakht
Published: July 2024

Accurate hydrological modeling is essential for understanding and managing water resources. This study conducts a comparative analysis of hydrological modeling strategies in a date-scarce region. This study examines lumped (IHACRES), semi-distributed (HEC-HMS), and hybrid-lumped/long short-term memory (LSTM) models, aiming to assess their performance and accuracy in a data-scarce region. It investigates whether lump models can accurately simulate flow and evaluates the impact of combining lump models with machine learning to enhance accuracy, compared to semi-distributed models. The IHACRES model underestimates discharge, but its commendable NSE during calibration (0.628) and validation (0.681) signifies reliable simulation. The HEC-HMS model accurately depicts daily streamflow but struggles with extreme events, showcasing limitations in predicting maximum flows. The hybrid-lumped/LSTM model exhibits improved accuracy over IHACRES. Despite some underestimation, it mitigates IHACRES limitations during extreme events. However, challenges persist in simulating high flows, emphasizing the necessity for further refinement. The findings contribute to the discourse on merging machine learning with traditional hydrological models in data-scarce regions. The hybrid model offers promise but underscores the need for ongoing research to optimize performance, especially during extreme events. This study provides valuable insights for advancing hydrological modeling capabilities in complex watersheds.
Determination of climate change impacts on Mediterranean streamflows: a case study of Edremit Eybek Creek, Türkiye
Authors: Iltas Ayşenur , Demircan Mesut , Gokdag Erkan , Aksu Hakan
Published: July 2024

The growing population contributes to an increase in greenhouse gases and affects the environment in a negative manner. To determine and predict the impact of climate change on hydrological processes, and to examine the status of our current/future water resources, hydrological modeling is of great importance and various models are utilized in this regard. In this study, the hydrological impact of climate change on a river in Türkiye, located in the Mediterranean Basin, has been revealed using a hydrological model, Hydrologiska Byråns Vattenbalansavdelning (HBV). Precipitation, temperature, and streamflow data from 1979–2021 were used for model calibration, validation, and warming processes, and model performance was assessed using the Nash–Sutcliffe efficiency (NSE) coefficient criterion. The established model's NSE performance has been determined as 0.66 for calibration and 0.69 for validation. The hydrological model was run with climate projection data (representative concentration pathways (RCP4.5 and RCP8.5)) to predict streamflows for the projection period (2023–2092). The evaluations conducted using the hydrological model for the period between 2023 and 2092 vunder the RCP8.5 scenario indicate a statistically significant decreasing trend of streamflows due to climate change. However, for RCP4.5, no trend was detected in streamflows for the projection period. From a seasonal perspective, while the greatest decrease in trends is expected to occur in autumn according to the RCP 8.5 scenario, all seasons are anticipated to exhibit significant decreasing.
Virtual sensors for the Hias process
Authors: Komulainen Tiina M. , Baqeri A. Malik , Jansen Katrine Marsteng , Saltnes Torgeir , Bech Axel Tveiten , Korostynska Olga
Published: July 2024

This article presents the development of virtual sensors for estimation of phosphates (PO4) and soluble COD profiles in a novel, continuous flow, moving bed bioreactor with enhanced biological phosphorus removal and simultaneous nitrification and denitrification, the Hias process. The virtual sensors combine online measurements with additional electrical conductivity (EC), oxidation–reduction potential (ORP) measurements, and state-space models at inlet, zone 3 and zone 7. The data were collected from Hias municipal WRRF, Norway from March to July 2023, and include both online data and laboratory data. Input variables were selected using correlation plots. Linear measurement equations were fitted to relate PO4 and COD concentrations in the laboratory data set with the online measurements including EC/ORP measurements. The state-space models were identified from the online data with model accuracy from moderate to strong. The estimated PO4 and COD concentrations correspond to most of the scarce laboratory data points at inlet and zone 3, whereas the model in zone 7 requires more work. A Kalman filter was developed for zone 3 and implemented in KYB IIoT platform. Future work is suggested on improvement of the model accuracy in zone 7, and development of energy-efficient control strategies using the virtual sensors.
Chemoprophylaxis Effect of EGCG on the Recurrence of Colorectal Cancer: A Systematic Review and Meta-Analysis
Authors: He Benyu , Kang Shuhui , Su Runze , Wu Sha , Liu Xue , Liu Maosheng , Chen Si
Published: July 2024

Background and Aims:

The recurrence rate of Colorectal Cancer (CRC) after cure is always high.
The purpose of this study was to investigate whether green tea extract (-)-Epigallocatechin gallate (EGCG) has
an effective preventive effect on the recurrence of CRC.

Methods:

We conducted a systematic literature review and meta-analysis of the effects of taking EGCG or
placebo on disease recurrence in patients after colon polyp removal.

Results:

Five Randomized Controlled Trials (RCTs) were included in this review. A double-blind drug trial involving
1389 participants involved EGCG and placebo. The results showed no significant publication bias or
heterogeneity in the five studies (I2 = 38%; p = 0.17). Patients taking EGCG had a lower recurrence rate of
CRC than those in the placebo group. The results were statistically significant (Z=2.83, p < 0.05).

Conclusion:

This study demonstrated that long-term EGCG can prevent CRC recurrence to a certain extent.
Resveratrol Inhibits Nasopharyngeal Carcinoma (NPC) by Targeting the MAPK Signaling Pathway
Authors: Yi Yujuan , Zhou Bo , Man Tengjun , Xu Zihan , Tang Hong , Li Jia , Sun Zheng
Published: July 2024

Background:

With conventional cancer treatments facing limitations, interest in plant-derived natural
products as potential alternatives is increasing. Although resveratrol has demonstrated antitumor effects in various
cancers, its impact and mechanism on nasopharyngeal carcinoma remain unclear

Objective:

This study aimed to systematically investigate the anti-cancer effects of resveratrol on nasopharyngeal
carcinoma using a combination of experimental pharmacology, network pharmacology, and molecular docking
approaches.

Methods:

Resveratrol inhibited the proliferation, invasion, and migration of nasopharyngeal carcinoma cells, ultimately
inducing apoptosis in a time- and dose-dependent manner. Network pharmacology analysis revealed that
resveratrol may exert its anti-nasopharyngeal carcinoma effect mainly through the MAPK pathway. Immunohistochemistry
results from clinical cases showed MAPK signaling activation in nasopharyngeal carcinoma tissues
compared to adjacent tissues. Western blotting validated the targeting effect of resveratrol, demonstrating
significant inhibition of the MAPK signaling pathway. Furthermore, molecular docking supported its multi-target
role with MAPK, TP53, PIK3CA, SRC, etc.

Results:

Resveratrol inhibited the proliferation, invasion, and migration of nasopharyngeal carcinoma cells, ultimately inducing apoptosis in a time- and dose-dependent manner. Network pharmacology analysis revealed that
resveratrol may exert its anti-nasopharyngeal carcinoma effect mainly through the MAPK pathway. Immunohistochemistry results from clinical cases showed MAPK signaling activation in nasopharyngeal carcinoma tissues compared to adjacent tissues. Western blotting validated the targeting effect of resveratrol, demonstrating
significant inhibition of the MAPK signaling pathway. Furthermore, molecular docking supported its multi-target
role with MAPK, TP53, PIK3CA, SRC, etc.

Conclusion:

Resveratrol has shown promising potential in inhibiting human nasopharyngeal carcinoma cells by
primarily targeting the MAPK pathway. These findings position resveratrol as a potential therapeutic agent for
nasopharyngeal carcinoma.
Unveiling Psoriasis: Delving into Pathogenesis, Treatment Breakthroughs, and Patent Trends
Authors: Maurya Azad Kumar , Jain Dharmendra
Published: July 2024

Over the world, millions of individuals suffer from psoriasis, a chronic inflammatory
skin disease. It is caused by a multifaceted mixture of environmental, immunological, and genetic
factors. This review explores the many aspects of psoriasis, where the introduction gives a context
background, emphasizing the prevalence and difficulties that people encounter with this dermatological
ailment. Further, the pathogenesis complex systems involving immunological dysregulation,
genetic susceptibility, and triggers are clarified, providing insights into the disease's fundamental
mechanisms. Examining drugs shows how, over time, therapy modalities have evolved,
moving from traditional topical treatments to the introduction of biologics and small molecules.
The continuous efforts to control symptoms, reduce inflammation, and improve patient outcomes
are highlighted in this section. Furthermore, a thorough review of patents reveals the creative advancements
made in the sector, highlighting encouraging advancements in treatment modalities
and potential paths forward. This manuscript is a review article and is based on various research
and review articles. We have summarized the salient features and findings from different articles
and prepared this manuscript.
Mother tongue and its implication on second language learning: English phones production
Authors: Putri Dewa Ayu Dyah Pertiwi , Mahardika I Putu Permana
Published: July 2024

The study aimed to investigate the implication of mother tongue on second language learning, particularly in phones production. Data of this research were in the form of utterance that produced by 9 English learners whose Balinese, Indonesian, or Japanese mother tongue. The data were collected through two kinds of method, which were interview method and observation method. In analyzing the data, the researcher used intralingual matching method. Based on the result, second language will be easier to learn if the language has the same features and systems as other language that has been mastered. Second language learners will encounter difficulty in producing certain phones of the second language if the phones do not exist in their mother tongue.
effect of efficiency and inflation rate on the financial stability of banks in Asean-5 countries
Authors: Maudy Maudy , Andriana Isni , Mu'izzuddin Mu'izzuddin , Widiyanti Marlina
Published: July 2024

This study was conducted to examine and analyse the effect of efficiency and inflation rate on banking financial stability in ASEAN-5 countries from 2013 to 2023. The population in this study is all commercial banks in ASEAN-5 countries totalling 169. The sampling method used purposive sampling and obtained 133 banks that met the criteria so that they became samples in this study. The results of the panel data regression analysis in this study indicate that efficiency, as measured by the BOPO ratio, shows positive and significant results on banking financial stability as measured by z-score. However, efficiency measured by the BOPO ratio shows negative and significant results on stability measured by NPL. Inflation has a negative and significant effect on banking financial stability measured by z-score. Inflation has a negative and statistically insignificant effect on banking financial stability as measured by NPL.
Portuguese Version of the Oral Frailty Index-8: Instrument Validation Study
Authors: Corrêa Laura , Júdice André , Scoz Robson , Machado Vanessa , Mendes José João , Proença Luís , Botelho João , Ferreira Luciano
Published: July 2024

Background

The concept of oral frailty has gained scientific and clinical relevance in recent years, and early detection can facilitate timely intervention to manage its progression. The Oral Frailty Index-8 (OFI-8) was developed to assess community-dwelling older adults at risk for oral frailty.

Objective

This study aims to investigate the psychometric validity of the OFI-8 in the Portuguese population, named the Portuguese version of the OFI-8 (OFI-8-PT), which may serve as a reference for future studies related to longevity and oral function.

Methods

This study included 2 main phases, involving patients aged 60 years or older, Portuguese speakers, and those who consented to participate in the study. First, the researchers translated and cross-culturally adapted the original questionnaire to make it suitable for native Portuguese speakers. The translated tool was then assessed for psychometric validation, which consisted of test-retest reliability, internal consistency, construct validity, and sex invariance measurement.

Results

A total of 159 older adults participated in the baseline survey, with almost equal numbers of male (n=79, 49.7%) and female participants (n=80, 50.3%). The OFI-8-PT demonstrated good reliability (Cronbach α=0.95) and construct validity (goodness-of-fit index=0.96; comparative fit index=0.85; and root mean square error of approximation=0.05, 90% CI 0.00-0.09). The study found sex invariance, indicating that the OFI-8-PT is equally valid for male and female participants, and the tested-retest reliability of the OFI-8-PT was good, indicating consistent results over time.

Conclusions

The OFI-8-PT showed psychometric validity and good reliability to be used in the Portuguese population.
Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection
Authors: Tsai Feng-Fang , Chang Yung-Chun , Chiu Yu-Wen , Sheu Bor-Ching , Hsu Min-Huei , Yeh Huei-Ming
Published: July 2024

Background

Preoperative evaluation is important, and this study explored the application of machine learning methods for anesthetic risk classification and the evaluation of the contributions of various factors. To minimize the effects of confounding variables during model training, we used a homogenous group with similar physiological states and ages undergoing similar pelvic organ–related procedures not involving malignancies.

Objective

Data on women of reproductive age (age 20-50 years) who underwent gestational or gynecological surgery between January 1, 2017, and December 31, 2021, were obtained from the National Taiwan University Hospital Integrated Medical Database.

Methods

We first performed an exploratory analysis and selected key features. We then performed data preprocessing to acquire relevant features related to preoperative examination. To further enhance predictive performance, we used the log-likelihood ratio algorithm to generate comorbidity patterns. Finally, we input the processed features into the light gradient boosting machine (LightGBM) model for training and subsequent prediction.

Results

A total of 10,892 patients were included. Within this data set, 9893 patients were classified as having low anesthetic risk (American Society of Anesthesiologists physical status score of 1-2), and 999 patients were classified as having high anesthetic risk (American Society of Anesthesiologists physical status score of >2). The area under the receiver operating characteristic curve of the proposed model was 0.6831.

Conclusions

By combining comorbidity information and clinical laboratory data, our methodology based on the LightGBM model provides more accurate predictions for anesthetic risk classification.

Trial Registration

Research Ethics Committee of the National Taiwan University Hospital 202204010RINB; https://www.ntuh.gov.tw/RECO/Index.action
Use a customized large language model (LLM) agent to enhance Post-Abortion Care (PAC): A qualitative phenomenological study of user experiences among Chinese women (Preprint)
Authors: Xie Haibei , Zhang Jianjun , Zhu Yan , Chen Di , Yang Kaixuan , Hu Xiaolin , Bai Zhilan , Zuo Yan
Published: July 2024

BACKGROUND

The integration of artificial intelligence (AI) into healthcare, particularly in sensitive areas such as post-abortion care (PAC), remains under-explored. Traditional PAC services often struggle with efficiency, accessibility, consistency, and privacy concerns.

OBJECTIVE

To explore the lived experiences of Chinese women receiving PAC supported using an in-house developed, customized large language model (LLM) agent, understand the practical benefits and limitations of using the AI-driven tool in a highly sensitive healthcare setting, and to inform future quantitative research and improvement initiatives.

METHODS

We created a customized LLM AI agent using a Chinese LLM platform and a specialized knowledge base, and integrated it into the PAC services offered at a major healthcare institution in Southwest China. The agent was introduced to women patients on the PAC program. We collected qualitative data from a purposive sample of women using semi-structured interviews by phone. Data were analyzed using Colaizzi’s thematic analysis method to extract key themes and insights.

RESULTS

Of the 167 women introduced to the LLM agent, 37 (22.2%) engaged actively in using the agent and reported meaningful interactions. 12 participants were interviewed before data saturation was achieved. Analysis of interview transcripts revealed three main themes, including varied utilization of the LLM agent as a chat companion and information resource, unique opportunities that encouraged frequent use, and recognized strengths and lingering skepticism towards the technology. While many appreciated the 24/7 availability, ease of use, and privacy that the AI agent offered, concerns persisted about data security and the accuracy of the AI’s responses.

CONCLUSIONS

The study confirms the potential of AI to enhance the accessibility and quality of post-abortion care, providing emotional support and reliable information outside traditional settings. However, to foster broader acceptance and optimize the effectiveness of AI tools in healthcare, improvements in the AI tool, increased transparency about data handling, and enhanced user education on interacting with AI are necessary. Future research should focus on quantitative assessments of patient outcomes and satisfaction to further validate and refine the AI applications in healthcare.
Interpreting Classroom Teaching for Translation Majors in the AIGC Era
Authors: Li Mengxi
Published: July 2024

The rapid development of Artificial Intelligence Generated Content represented by ChatGPT has triggered a new round of artificial intelligence revolution, and has also brought unprecedented changes to the field of education. As far as translation majors are concerned, although all major universities have opened interpreting majors or interpreting courses and shouldered the responsibility of training interpreting talents for society, due to the influence of teaching staff, student quality and teaching mode, English majors in colleges and universities have encountered great challenges in training interpreting talents. With the rapid development of artificial intelligence technology, technologies such as intelligent speech recognition, speech transcription, and virtual reality have provided great convenience and support for interpreting classroom teaching. Interpreters should also make full use of these technologies to redesign interpreting course teaching, transform the interpreting talent training model, and improve the effectiveness of interpreting talent training.
BIO ANALYTICAL METHOD FOR SIMULTANEOUS ESTIMATION OF CAPECITABINE AND DOCETAXEL AND ITS APPLICATION TO PHARMACOKINETIC STUDIES USING LC-MS/MS
Authors: SHAREEF SHAIK NAGUL , PADMAVATHI K. V. , ARAVIND S. , SUBBARAO MANNAM
Published: July 2024

Objective: An easy, quick, precise, active and reproducible Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) technique was developed for the bio-analytical method of Capecitabine and Docetaxel using D9-Capecitabine and D9-Docetaxel as Internal Standards (IS).
Methods: This article summarizes the recent progress on bioanalytical LC-MS/MS methods using Symmetry C18 column (150x4.6 mm, 3.5µ) and an organic mobile phase of 0.1% formic acid and Acetonitrile in 80:20 v/v.
Results: Analysis was carried out within 5 min over a good linear concentration range from 37.5ng/ml to 300ng/ml (r2= 0.9999±0.008) for Capecitabine and 10ng/ml to 80ng/ml (r2=0.9993±0.005) for Docetaxel. Accuracy, precision, recovery, matrix effect and stability results were found to be within suitable limits.
Conclusion: The application denotes all the parameters of system suitability, specificity, linearity and accuracy are in good agreement with United States Food and Drug Administration (USFDA) guidelines and applied effectively for the investigation of pharmacokinetic studies in rats.
RESPONSE SURFACE METHODOLOGY-AIDED DEVELOPMENT OF PIRFENIDONE-LOADED SOLID LIPID NANOPARTICLES FOR INTRAPULMONARY DRUG DELIVERY SYSTEM
Authors: KWOK KEVIN , SUHARIYONO GATOT , SURINI SILVIA
Published: July 2024

Objective: This study aims to determine the optimized Pirfenidone-loaded Solid Lipid Nanoparticles (P-SLN) formula for Intrapulmonary Drug Delivery System (IPDDS) using Response Surface Methodology (RSM).
Methods: Box-Behnken design was applied to create fifteen P-SLN formulas comprising three independent variables, namely lipid-to-drug ratio, polymer type, and polymer concentration, and three dependent variables, including particle size, Polydispersity Index (PDI), and entrapment efficiency. The P-SLNs were prepared by solvent injection followed by the ultrasonication method. Those formulas were optimized with the RSM approach using the Design Expert®. Then, the optimized P-SLN was further characterized for morphology, moisture content, aerodynamic performance, and dissolution profile.
Results: The optimization process, assisted by RSM, determined that the optimized P-SLN had a lipid-to-drug ratio of 6:1 and contained 0.5% Plasdone K-29/32. The resulting P-SLN had a spherical shape with a particle size of 212.7 nm, a PDI of 0.39, an entrapment efficiency of 95.02%, and a low moisture content of 1.59%. The optimized P-SLN also exhibited appropriate IPDDS required characteristics, including a Mass Median Aerodynamic Diameter (MMAD) ranging from 0.540–12.122 μm and a Respirable Fraction (RF) of 12.4%. Moreover, the release of pirfenidone from this optimized formula was 89.61% and 69.28% in pH 4.5 and 7.4 buffer media, respectively, in 45 min through a combination of diffusion and polymer swelling mechanisms.
Conclusion: The optimized P-SLN showed promising potential as an IPDDS for pirfenidone.
FORMULATION DEVELOPMENT AND EVALUATION OF PALIPERIDONE NANOSUSPENSION FOR SOLUBILITY ENHANCEMENT
Authors: JADHAV SHIVRAJ POPAT , DHAKAD PRASHANT KUMAR , GUPTA TAPASVI , GILHOTRA RITU
Published: July 2024

Objective: The main objective of this work is to develop a nanosuspension formulation of paliperidone to overcome its low solubility and bioavailability issues. Stabiliser concentration (X1) and probe ultrasonication duration (X2) at three levels were tested for their effects on particle size (Y1) and saturation solubility (Y2) using a 32-factorial design.
Methods: The solvent-antisolvent method, followed by probe ultrasonication was used for the formulation of nanosuspension. The optimised nanosuspension was tested for particle size, saturation solubility, scanning electron microscopy, drug content, thermal analysis, zeta potential, Fourier transform infrared spectroscopy, in vitro dissolution, and in vivo study.
Results: The optimised formulation revealed a particle size of 293.4 ± 2.74 nm, saturation solubility of 173.61 ± 3.37 μg/ml, and zeta potential of-23.8 mV. Scanning electron microscope photographs indicated particle size less than 1 μm. Optimised nanosuspension showed 100% drug release within 30 minutes. Studies conducted in Wister rats have shown that the optimised nanosuspension demonstrated a 2.88 times higher maximum concentration and 2 times higher area under the curve. The stability studies demonstrated satisfactory stability over three months.
Conclusion: To summarise, this research showed the ability of nanosuspension to enhance the solubility and bioavailability of paliperidone.
Pairwise Infra Neutrosophic Pre-Open Set in Infra Neutrosophic Bi-topological Space
Authors: Das Suman , Das Rakhal
Published: July 2024

In this article, we present the notion of infra neutrosophic bi-topological spaces (in short INBTS) as a generalization of infra neutrosophic topological space (in short INTS) and neutrosophic bi-topological space (in short NBTS). Besides, we study the different types of open and closed sets namely infra neutrosophic bi-open set (in short INBOS), infra neutrosophic bi-semi-open set (in short INBSOS), infra neutrosophic bi-pre-open set (in short INBPOS), infra neutrosophic bi-b-open set (in short INBb-OS), etc. via INBTSs. Then, we introduce the notion of pairwise infra neutrosophic bi-open set (in short PINBOS), pairwise infra neutrosophic bi-semi-open set (in short PINBSOS), pairwise infra neutrosophic bi-pre-open set (in short PINBPOS), pairwise infra neutrosophic bi-b-open set (in short PINBb-OS), and furnish few illustrative examples on them. Further, we investigate several properties of these classes of sets and establish several interesting results via INBTSs in the form of propositions, theorems, etc.
A proposal to demonstrate non-abelian anyons on a NISQ device
Authors: Jovanović Jovan , Wille Carolin , Timmers Daan , Simon Steven H.
Published: July 2024

In this work we present a proposal for realising non-Abelian anyons on a NISQ device. In particular we explore the feasibility of implementing the quantum double model D(D4). We propose techniques to drastically simplify the circuits for the manipulation and measurements of anyons. Numerical simulations with realistic noise models suggest that current NISQ technology is capable of probing signatures of non-Abelian anyons far beyond elemental properties such as the non-commutativity of braids. In particular, we conclude that experimentally measuring the full modular data of the model is feasible.
Islamic Education and Gender Equality
Authors: Hairiyah Hairiyah , Sirait Sangkot , Arif Mahmud
Published: July 2024

This article discusses the importance of education, particularly Islamic Religious Education, in addressing gender issues and inequalities faced by women in various aspects of life. Gender, as a social construction, is different from biological sex and plays an important role in social and cultural dynamics. This research, which is descriptive-critical in nature, uses a literature approach to analyze data sources and related literature. The main focus is on how education, especially Islamic religious education, can be used as a tool to combat ingrained gender prejudices and stereotypes in society.              Islamic Educationis seen as a means to spread the values of equality, freedom, democracy and justice, and to overcome gender-biased interpretations of religious texts. The article emphasizes the importance of an inclusive and gender justice based curriculum in shaping young people's attitudes and understanding of gender issues. This includes addressing gender stereotypes in educational materials and promoting critical thinking among students.              In addition, this article highlights the need to recognize that the challenges in realizing gender equality lie not only in education, but also in social and cultural practices. Therefore, it is proposed that gender justice-based Islamic Educationcan be a catalyst in promoting a more balanced and inclusive understanding of gender roles, which is essential for the development of a more tolerant, just and egalitarian society.
HARMONIZATION OF THE STATE STRATEGIC PLANNING SYSTEM
Authors:   Saint Petersburg State University of Economics, VASILIEV A.N.
Published: July 2024

In the Russian Federation, ten years have passed since the official establishment of the state strategic planning system. The time has come to sum up the first results and outline ways for improvement and development. The influence of global strategic planning practice on our system is obvious. A small number of natural indicators, a project approach, high social orientation and political engagement - these are the key trends in the world. The purpose: to present the results of research in the field of harmonization and improvement of the state strategic planning system against the background of the beginning of the fourth industrial revolution and the connection of strategic planning with the vector of economic development of modern Russia. The research methodology is a study of the practice of state strategic planning, identifying global trends and accompanying problems, using methods of spatial analysis and planning, including the method of intersectoral balances, as well as the theory of technological structures and industrial revolutions. An analysis of modern scientific periodicals on this issue was carried out. As a result, four main global trends in state strategic planning systems were identified and formalized within the framework of two main groups of approaches to understanding the ideas of strategic planning at the state level. An analysis of the problems of assessing efficiency within the framework of the new industrial revolution was carried out from the perspective of changing the importance of the problem in the new conditions and the availability of directions for resolving the problem. The next step was to assess the applicability of groups of performance criteria equally at all levels of management. The efficiency criterion identified as the one that best meets the goals is economic complexity. The harmonization of the state strategic planning system should be based on cross-cutting indicators. To implement this approach, it is proposed to use the tools of input-output balances. Another element of harmonization is the refusal to link the system of state strategic plans to the electoral cycle and the transition to determining the planning period using scientifically based tools.
NETWORK RECONSTRUCTION OF SOCIAL MENTALITY
Authors:   Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, VORONKOVA O.A.
Published: July 2024

The main purpose of the article is to analyze the development of network discourse and factors influencing changes in social mentality. The thesis is substantiated that in modern network reality, defined as a multidimensional and polycentric space of communicative interaction, there is a transition to a qualitatively different stage of socio-political development - from rigid normative role mechanisms for regulating relationships to flexible discursive and semantic ones. Network discourse processes change the cognitive context, and subsequently the ontological one: now it is not just “being” that determines “consciousness,” but also the quality of “being” is determined by the level of maturity of social consciousness. The issues of network identification and the formation of a network culture of relationships, based on the formation of a network logic of axiological choice, displacing the logic of dictate and force pressure, are considered. The methodology of discourse analysis of the online blogosphere is used to identify mental shifts in mass consciousness. Conclusion: the formation of a network culture and overcoming the incompatibility of ideological matrices and discourse conflicts at an early stage is possible not by developing mechanisms of total control, prohibitions and restrictions, but only under the condition of gradual alignment of styles and ways of life and the subsequent transition of public consciousness to a new evolutionary level, at which it becomes fundamentally possible to achieve social consensus.
DEVELOPMENT OF A BALANCED SYSTEM OF INDICATORS FOR ASSESSING THE COMPANY PERFORMANCE
Authors:   Central Russian Institute of Management, Branch of RANEPA, SHALAEV I.A. , KOZHANCHIKOV O.I. ,   Central Russian Institute of Management, Branch of RANEPA
Published: July 2024

The purpose of the research is to study the theoretical and methodological foundations of a balanced system of indicators for assessing the company performance. Particular attention is paid to the distribution of the goals of a commercial organization according to the perspectives of the balanced scorecard, as well as the establishment of planned and actual values for the balanced scorecard in the organization. The authors substantiate the importance of developing strategic measures to improve the efficiency of organizations based on the use of the developed balanced scorecard. When faced with the challenge of developing a balanced scorecard to measure a company performance, choosing specialized software such as BSC Designer made sense for several reasons: flexibility and customizability, task focus, professional capabilities, support and updates, and a proven track record. Developing a balanced performance measurement system helps companies address a number of issues such as measuring performance, understanding strategic goals, aligning interests, making informed decisions, and improving communication. Research methods - abstract-logical, analysis, formalization and typology - were used in the development of a balanced system of indicators for assessing the company performance.
POLITICAL PLACEBO EFFECT IN THE SUCCESS ALGORITHM OF THE AGRICULTURAL INDUSTRIAL COMPLEX OF POST-SOVIET RUSSIA
Authors:   ANO ", ALIMENKO I.A. ,   Agency for Regional Social and Economic Projects",   Logrus-Agro LLC
Published: July 2024

The relevance of the scientific article lies in the study of the components of the success algorithm for the sectoral development of the agro-industrial complex. Statement of the problem: the existence of a transcendental “placebo effect” in the development of AIC. Object of study: the functioning of the agro-industrial complex of the Russian Federation from industry degradation (1991) to a dynamically developing sphere (2023). Subject of research: changes in the agro-industrial complex (AIC) of the Russian Federation, both socio-economic, political, and transcendental (“placebo effect”). Purpose: to present an algorithm for influencing changes in the agro-industrial complex of post-Soviet Russia with modeling of state agro-industrial policy. The author substantiates the objective and subjective (transcendental) factors in the development of the country's agro-industrial complex, which ensured the withdrawal of the agro-industrial complex from sectoral degradation to the industrial path. Thanks to this algorithm of influence and the “placebo effect,” authorities and management, together with agricultural business, were able to solve the country’s food problems in the 2000s. As a result of the implementation of this policy, the level of food security of the state and the export of food products to foreign markets were increased. In the presence of constantly tightening external conditions for the domestic food market, starting in 2014, this effect, in combination with other factors, ensured: 1) sustainable growth in production in the agricultural sector, 2) the success of the sectoral import substitution policy, which turned out to be more effective than, for example, in industrial complex.