bluuebunny/crossref_metadata_2025 huggingface dataset:
Gramodaya: Understanding the Marketing Implications of India’s Evolving Rural Economic Structure
Authors: Pandey Dr. Satya P. , Fatima Dr. Afreen
Published: November 2024

The current worldwide epidemic has exacerbated geopolitical tensions on a global scale. Historically, cities have consistently been regarded as the epitome of global cultural hubs. However, over a brief period in the early 2020s, many urban centres experienced a significant decline in activity, resembling desolate ghost towns in the virtual realm. The pandemic has led to a decline in activity in major global cities due to shifts in work habits. Markets are volatile, competitive, and characterised by changing consumer demands, skilled competition, and climate change threats. Marketers must proactively anticipate and respond to these changes, as waiting and reacting are financially unviable. Envisioning and preparing for the future has become increasingly complex and vital in today’s global landscape. The rise in lifestyle choices has led to a migration towards rural areas, resulting in a convergence of urban and rural cultures. This has led to a surge in local economies and a focus on diversity within organizations. Rural Bharat is poised to capitalize on this trend, with the Indian economy expanding due to rural consumption and increased disposable income. However,there are still opportunities for marketing innovation and the emergence of rural India as a significant investment theme. This study aims to delve deeper into areas exhibiting discernible patterns and prospects for opportunities and expansion & offers insights into strategies for enhancing the rural economy in India through collaborative efforts between industrial stakeholders and government interventions. The provided facilities offer an opportunity to enhance business, marketing, and distribution networks for the private sector in collaboration with rural entrepreneurs. Technological advancements and agricultural infrastructure improvements can significantly increase farmers’ revenue. This paper argues that rural India’s growth, income, consumption and marketing patterns are crucial for achieving an “AtmaNirbhar Bharat” in the “Amrit Kaal” era.
Development Of Non-Enzymatic Electrochemical P-Nitrophenol Sensor Based On Carboxylated Graphene Oxide Modified Glassy Carbon Electrode
Authors: Husseın Zhivan Tayeb Ali , Güler Muhammet
Published: November 2024

The current work reports a new electrochemical p-nitrophenol (p-NP) sensor which depends upon the carboxyl functionalized graphene oxide (GO-COOH) modified of glassy carbon electrode (GCE). Scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) were performed to examine the morphology of GO-COOH. The GO-COOH/GCE sensor was electrochemically characterized by means of chronoamperometry, electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and linear sweep voltammetry (LSV). A distinct cathodic peak of p-NP was seen on the GO-COOH/GCE in 0.1 M phosphate buffer solution (pH 6.5). The sensor displayed three dynamic linear ranges for p-NP under optimum conductions. The linear detection ranges were 2.0×10-7 - 2.95×10-6 M, 2.95×10-6 – 2.74×10-4 M, and 2.74×10-4 – 7.25×10-4 M with the sensitivities of 39622.1 A/Mm2, 9959.3 A/Mm2, and 6395 A/Mm2, respectively. It was found that detection limit (LOD) was 5.3×10-8 M at a signal to noise ratio of 3. The GO-COOH/GCE demonstrated satisfactory performance factors such as selectivity and repeatability. Additionally, the GO-COOH/GCE sensor was demonstrated to be utilized to electrochemically determine p-NP in a variety of water samples.
A Novel Approach For The Evaluation Of Bio-Oils Obtained From Chestnut Shells By Different Processes
Authors: Başar Yunus , Nas Mehmet Salih , Alma Mehmet Hakkı , Demirtaş İbrahim
Published: November 2024

In this study, the contents of both extraction liquid and pyrolysis liquid products of chestnut shells were characterized using Gas Chromatography-Mass Spectrometry (GC-MS), Liquid Chromatography-Mass Spectrometry (LC/MS-MS) and Fourier Infrared Spectroscopy (FT-IR). In LC-MS/MS analyses; sample samples obtained from different processes were determined using 41 phenolic standards. The results of LC-MS/MS analysis showed that both the type and amount of phenolic compounds in the liquid extract were significantly higher than those in the pyrolysis liquid. According to the analysis results, very valuable phenolic compounds such as catechin (2526.96 µg/g extract), gallic acid (175.02 µg/g extract), protocatechuic acid (76.47 µg/g extract) were obtained in high amounts. FTIR analysis of the liquid samples obtained by two different processes was performed. GC-MS analysis revealed stearic acid methyl ester (28.78%), palmitic acid methyl ester (27.81%) and o-xylene (9.29%) in the liquid extract. However, higher amounts of linoleic acid, methyl ester (32.45%), palmitic acid methyl ester (23.06%) and linolenic acid, methyl ester oleic acid, methyl ester (11.32%) compounds were detected in the liquid extract obtained by pyrolysis compared to the normal liquid extract content. All these findings show that the processing method and physicochemical conditions are very important in obtaining valuable compounds such as phenolic and organic acids from plant products such as chestnut bark.
Cultural Stereotypes, Female Identity and Postcolonial India: Re-reading Anita Desai’s Voices in the City
Authors:   Assistant Professor, Department of English Rani Dhanya Kumari College, Jiaganj, Murshidabad, West Bengal, Saha Anindita
Published: November 2024

Anita Desai’s Voices in the City has been criticized by European critics as a portrait of a joyless, ‘monster city’ called Calcutta and by Indian critics as an artistic failure for its ‘out of place’ female characters. However, the forms of conservatism and domination have been questioned by postcolonial and feminist theories. These theories teach us to respect difference and heterogeneity as against the sexist and colonist tendency to ‘reduce the difference to a single identity. his paper attempts to re-read Voices in the City through the lens of postcolonial and feminist theory to explore that Desai’s female characters who ‘go in the opposite direction’ and ‘not average’ are modern Indian women. They struggle for self-definition by defying the cultural stereotypes rooted in ancient Hindu religious scriptures, mythology, and ancient legal codes. They are reflected in cultural nationalism and socioeconomic spheres of pre- and post-Independence India. As a modern, ‘purely subjective’ writer Desai is aware of the various cultural, social, and economic impediments faced by her women characters in their quest for identity and self-hood and records meticulously the victimization of Hindu, educated, urban, middle-class women in postcolonial India as well as their various modes of protest against patriarchy and fundamentalism thereby “creating a new feminist ideology in Indian literature written in English” and reconstructing female identity in post-colonial India (Mann, 1995, p.156). The paper also tries to find out the relationship between cultural ethos and gender discrimination in India which serves as a background to the narratives of Desai’s female characters.
Representing Non-violence: The Corporal-Aesthetic Complex in the Poetic Philosophy of Lalla Ded
Authors:   Lecturer, PG Department of English, University of Kashmir, Jammu and Kashmir, India, Ahmad Jamiel
Published: November 2024

This paper seeks to investigate the position of the physical human body in Lalla Ded by employing an anthropological perspective. By studying the physical representation of the human body as a mode of aesthetic building, which may be thematically loaded, the paper attempts to base itself on how the human body has been and continues to be conceptualized, experienced, interacted with, and represented in various literary and cultural discourses. Considering these theoretical nuances, the paper reads the poetic philosophy of Lalleshwari (a 14th-century Kashmiri mystic) and tries to investigate the theme of non-violence as an aesthetic complex rooted in the corporal existence of a human being. The human body is a medium whose actions/behaviour/responses are a sum-up of various signals which may be psychological, physiological, or spiritual. This is the corporal representation of various feelings and phenomena in a human body/life. If happiness, anger, or sadness are taken as such signals which have a trigger within the biological/biochemical/psychological existence of a human being, so can be traced many other phenomena related to human life. One such important dimension is the notion of violence and non-violence; a notion which can be productive if tamed and destructive if let loose. Various philosophers and poets have showcased the various facets of violence and non-violence via human existence/acts. A seminal mystic Poetess Lalleshwari, who has made her body/acts and its mediated existence emblematic of such a form of non-violence, lived in Kashmir during the fourteenth century. Her mystic approach towards human life has demystified the existence of an individual; she depicts a corporal-aesthetic complex that is rooted in the philosophy of non-violence. Whether her Shaivaite approach to life is taken into consideration her dialogue with the Sufis, or her Yogic exercises catch the attention of the reader, it is found that she sells the human body as a medium via which she displays the aesthetics which is rooted in non-violence.
Digital Assets: Classifications and Definition
Authors: Krupochkin A. V.
Published: November 2024

Researching digital assets can help understand and assess their economic characteristics and differences between various types of assets. It is important for investors, regulators and investigators so that they could make grounded decisions and develop effective strategies. The article analyzes different types of digital assets and their classifications, which sometimes look rather conflicting and studies challenges of legislative nature in the field of regulation of different types of digital assets in Russia. Contradictions between enactments and standpoints of the Central Bank of the Russian Federation were identified. A conclusion was drawn that now there is no generally accepted classification of digital assets and it could hinder their development. The author advanced original classifications of digital assets and made an attempt to define them and show their signs. The article also analyzes terms given to some types of digital assets by international finance organizations. Apart from that the author proposed definitions of digital currency, crypto-asset and crypto-currency. Methodological foundation of the article is formed by dialectic method that allowed the author to identify subjects of research in their interaction, unity and development, methods of formal logics, such as analysis, induction and deduction and theoretical methods, such as structuring and systematization.
Peculiarities of Assessing the Efficiency of Research Organization Divisions
Authors: Grigoreva E. A. , Pahnovskay N. M.
Published: November 2024

Nowadays when requirements to effectiveness and productivity become more and more tough, analysis of ways and methods of assessing the efficiency of research divisions gains in importance. Quantitative analysis is one of simple and frequently used approaches to estimating efficiency of organization and its divisions work. It is based on calculation of traditional indices and studying their dynamics for a certain period of time. Practice shows that within the frames of quantitative analysis indices of liquidity, finance stability, business activity and profitability are estimated. However, in view of work specificity, goals of analysis and mentality of finance manager the list of indicators shall be prolonged. For complex assessing research organizations quantitative analysis can be supplemented by qualitative one. Only in this case information can show the real situation in the organization and its divisions.
Conditions and Factors Influencing Corporate Ecologic Responsibility at Steel-Making Enterprises in Russia
Authors: Kostylev I. A.
Published: November 2024

The article analyses conditions and factors, which affect realization of corporate ecologic responsibility at steelmaking enterprises in Russia. Special attention is paid to motivation of companies to keep to responsible work and assess its compliance with set standards. The research covers motivation of steel-making enterprises in respect of practices aimed at improving the ecologic situation, both internal and external factors are studied. The article analyzed current practices of big steel-making companies of Russia. The author investigates a wide range of factors that can influence company decisions in the field of ecologic responsibility. As a result the article provides a complete picture of the current situation and prospects of developing corporate ecologic responsibility at steelmaking enterprises in Russia.
Interaction of Industry Development with its Encoding in Rceat: Experience of Veterinary Medication Production
Authors: Samoilov G. M.
Published: November 2024

In public space prospects of development of industries in Russian economy that put out new goods and services are often connected with giving these industries relative codes in the Russian Classifier of Economic Activity Types (RCEAT). The article analyses the case of giving RCEAT code to producers of medication for veterinary use: arguments of industry representatives were studied, open statistic information was summarized and assessed and certain elements of the system of state regulation were discussed that use the classifier of economic activity types. It was shown that availability of RCEAT code does not impact directly on results of industry development, on the contrary industry success can speed up the decision about giving it a special code in order to improve efficiency of state governance. On the basis of research conclusions proposals aimed at specification of methodology for collecting industry statistic information were put forward. At the same time representatives of other industries were recommended to supplement arguments for giving new RCEAT codes with estimation of economic effects and detailed description of concrete procedures of state governance, within the frames of which classifier upgrading can foster the development of a certain industry.
Trends of Green Cooperation in Agriculture
Authors: Utkina A. S. , Gamarnik I. A. , Sedugina A. S.
Published: November 2024

The goal of the research is to investigate key trends in green cooperation and the principle objective is to prove economic motivation of entrepreneurs towards green cooperation. In the research the following methods were used: analysis and synthesis and mathematic methods in economics. In order to substantiate economic motivation of ESGstandards introduction in agricultural industry economic and technological analysis was carried out and correlation between enterprise profitability, its financial indicators and ESG-rating was studied. The absence of rationalistic development potential at the state-owned corporation Rusagro was demonstrated. Therefore, the authors proposed to pass to heuristic development and innovation technologies. Investment in the development of innovation technologies can provide higher labour productivity and at the same time retain current values of technological equipment. These measures can affect GDP of Russia as a whole, as development and introduction of new technologies and passing over to heuristic development of the organization can raise quality of economic systems, which will provide the growth in entrepreneurs’ profit and gross product of the region and the country.
Marketing Transformation in View of Esg Principles
Authors: Magomedova G. M.
Published: November 2024

The article deals with an acute topic of using ESG-standards in business, and namely in designing marketing policy. The Environmental, Social and Corporate Governance (ESG) concept was studied and its parameters were identified. Specific business goals, which can be attained by using ESG were shown: to develop sustainable businessmodels, strengthen reputation, manage global challenges and create long-term values for society. The authors put forward principles of responsible consumption and carried out comparative analysis of conceptions of ESG and ESG in marketing. ESG-marketing implies a specific way of informing customers about important values of the company and its contribution to sustainable development by shaping valuable offer and spreading ESG-principles among customers. Certain groups of companies using ESG-marketing were demonstrated: ecological and social companies connected with healthy life style and industrial companies: all mining companies, automobile and aircraft industries. Benefits of using ESG strategies in marketing were enumerated.
Misbalance in Legal Relations on Russian Marketplaces
Authors: Khoroshunov A. A.
Published: November 2024

The article analyses specific features of legal relations between sellers and representatives of big Russian marketplaces. Special attention is paid to the new bill N 568223-8, which includes provisions on legal regulation of marketplace work. Opinions of sellers, marketplace representatives and lawyers concerning proposals of this bill were studied. As a result the research came to the conclusion that there is a serious misbalance in relations between sellers and online-platforms. Sellers often face infringements of their rights and restrictions on the part of marketplaces, imposing of ungrounded fines and penalties, violations of offer contracts. This fact is confirmed by the growing number of suits on the part of sellers and owners of delivery points against sellers. Unfortunately, enterprises of small and medium business that use marketplaces to sell their goods are deprived of adequate legal protection. Therefore, it is necessary to elaborate and realize a uniform law, which could regulate rights and obligations of all entities of online-trade and build a system of their relations. The research used methods of analysis (logical, strategic, etc.) and synthesis, induction and deduction, statistics and legal forecasting. The obtained conclusions can be used for legislative bodies of power in developing and realizing laws, as well as for representatives of business in selling goods on marketplaces and protection of their rights and interests.
Barriers in Proliferating Digital Technologies at Russian Companies: Causes and Effects
Authors: Melnikov A. S. , Kalabina E. G.
Published: November 2024

The article analyzes work of enterprises dealing with digital technology introduction and use of such technologies in production and managerial processes, at the same time it studies reasons for this technology rejection. Topicality of the research is envisaged by high interest of Russian companies in using digital technologies in management and production processes. The rising popularity of digital technologies, in particular AI is based on searching for alternative methods of business-process optimization, raising efficiency and competitiveness of enterprises. It should be pointed out that in creation and introduction of digital technologies enterprises face various difficulties, including fragmentation and non-coordination of ideas about the essence of these technologies, opportunities of their application and control. The authors provide recommendations for enterprises on overcoming barriers in introduction of digital technologies, available at the time of the research, based on comprehensive analysis of strategies of their use with regard to concrete needs and characteristics of the organization. Theoretical and methodological foundation of the research was formed by achievements of the managerial approach to innovation introduction. Methods of expert and comparative analysis were used in the research. The information base of the project was built by works dealing with current trends and practices of management in view of digital transformation. As a result a systematized picture of enterprise functioning was developed in the context of overcoming barriers in introducing digital technologies and identification of situational and contextual variables influencing the effect of their introduction. These results can be used for further investigation of different aspects of enterprises’ work and management in conditions of digital economy.
Gestational Hypertension: A Contemporary Review of Epidemiology, Pathophysiology, and Therapeutic Approaches
Authors: Sunita  , Kaushik Rahul , Gaur Praveen Kumar , Verma Krishan Kumar
Published: November 2024

Gestational hypertension and preeclampsia are frequently encountered conditions in
pregnancy, often occurring around the time of delivery. Mild cases of these conditions in the near
term typically result in few complications for both the mother and the newborn. However, women
diagnosed with gestational hypertension or preeclampsia need careful monitoring of both maternal
and fetal well-being throughout pregnancy, and those with severe symptoms should receive hospital-
based management. Preeclampsia is associated with endothelial dysfunction in the mother, prolonged
immunological activation, fetal development limitation, hypertension with or without proteinuria,
and endothelial dysfunction after week twenty of pregnancy. Pregnancy-related hypertension
raises concerns, although the main issues are related to the progression of the condition to
pre-eclampsia or eclampsia and HELLP syndrome. In this review, the cross-sectional study of gestational
hypertension is evaluated, and the treatment approaches are highlighted.
Replication and Pathogenesis of Coronaviruses
Authors: Badar Mohammad Sufian , Ansari Onaiza , Mursaleen Anam , Malik Asrar Ahmad , Sheikh Javaid Ahmad , Nehal Aamir
Published: November 2024

The COVID-19 pandemic has led to widespread illness, death, and
economic disruption worldwide, leading to a critical need for effective treatments,
vaccines, and diagnostic tools. SARS-CoV-2, belonging to the class of β-CoVs, is the
virus accountable for COVID-19, and mediates entry into the host cell via its surface
spike protein. Understanding its replication and pathogenesis is crucial for developing
effective treatments and curbing the microbe’s spread. Here, we dive deep into the
genomic organisation of the SARS-Cov2 virion and its various structural components,
highlighting the molecular mechanism involved in replication, ultimately leading to
pathogenesis.
didactic strategy for enhancing mental Mathematical computation in elementary school
Authors: Loja-Deleg Angel Patricio , Dominguez Anthony Javier Baren , Alcivar-Castro Eddie Jose
Published: November 2024

The study "Teaching strategies to improve mathematical mental calculation in high school" attempts to improve mental calculation skills in high school students in the educational unit "Ilo Alfaro" in Chuván, Ecuador. The research is based on the recognition that mental arithmetic is an important skill not only in developing mental agility and logical reasoning, but also in solving mathematical problems effectively. The research justifies the implementation of a didactic strategy that promotes meaningful, individualized and participatory learning. Teachers play a key role in adapting this strategy to the needs of students, using new methods that encourage and strengthen their confidence in their mathematical abilities. The methodology used includes a mixed approach, theoretical and experimental, which includes the observation and survey of teachers, and the analysis of the results obtained by implementing specific teaching activities. The studied population consisted of sixth year primary education students of the above educational unit. Preliminary results suggest that the applied teaching strategies not only improve fluency in mental arithmetic, but also encourage critical thinking, collaboration among students, and the ability to apply mathematical knowledge in everyday situations.
Enhancement of seed germination rate and growth of Anagyris foetida L.
Authors: Mansouri Lahouaria Mounia , Kheloufi Abdenour , Boukhecha Mohamed
Published: November 2024

Bean trefoil (Anagyris foetida L.), the only species within the Anagyris genus (L.) of the Fabaceae family in Algeria, demonstrates considerable promise for reforestation actions in arid and semi-arid areas throughout the Mediterranean basin. Nevertheless, a prominent obstacle impeding the successful establishment of the species is the hardness of its seeds, resulting in reduced germination rates and inconsistent seedling emergence. The objective of this research is to improve seed germination and seedling development in A. foetida. A total of 750 pods were randomly collected from a population including 13 individuals. From this sample, 100 intact pods and 100 seeds were chosen for measurement and weight assessment. Three different scarification techniques were utilized as pretreatments: chemical scarification, involving varying durations of immersion in 98% concentrated sulphuric acid; thermal scarification, involving 24 hours of exposure to a water bath set at 35°C; and mechanical scarification, achieved through the use of abrasive paper. Each treatment comprised four replicates of 50 seeds, while untreated seeds were utilized as controls. Germination and initial seedling development were assessed after 30 days of cultivation. Statistical analysis revealed significant differences (p<0.001) among pretreatments concerning germination and seedling emergence. The highest germination percentages were observed following 120 minutes and 150 minutes of sulphuric acid soaking, with 86% and 91.5% of germination, respectively. The chemical pretreatments demonstrated correlations with shoot and root growth, as well as collar diameter. In contrast, the control group exhibited notably low germination (5.5%), while mechanical scarification resulted in a 55% germination rate. Seedling survival rates ranged from 93.7% to 99.4%. The seeds of A. foetida predominantly exhibit physical dormancy attributed to their hard and impermeable seed coat. These findings could be valuable for the generative reproduction of the species, especially for producing plants for afforestation/reforestation programs.
A massificação e democratização da Educação Doutoral na encruzilhada entre a equidade e a meritocracia
Authors: Alves Patrícia , Lopes Amélia , Cruz-Correia Ricardo , Menezes Isabel
Published: November 2024

Nas últimas décadas, têm sido notórios, em Portugal e à escala global, processos de massificação e democratização da Educação Doutoral (ED) que promovem a abertura a doutorandos/as com características diversas, incluindo doutorandos/as não tradicionais, embora se reconheça a persistência de limitações à massificação e democratização do acesso e do valor do grau. Este estudo qualitativo explora as (des)continuidades entre os processos de massificação e democratização do acesso e do valor multidimensional da ED, procurando identificar linhas orientadoras para a promoção de uma maior continuidade entre esses processos. Os dados foram recolhidos através de 25 grupos focais com membros de órgãos de gestão, orientadores/as, doutorados/as e doutorandos/as de programas doutorais em Ciências Sociais ou da Saúde numa universidade portuguesa e analisados através de análise temática. Os resultados evidenciam continuidades que sugerem que a massificação contribuiu para a democratização do acesso, e esta contribuiu para a democratização do valor da ED. Contudo, identificaram-se, também, descontinuidades que expressam limitações e desafios à fluidez e harmonização destes processos, propondo-se medidas de promoção da continuidade que evidenciam duas perspetivas: a perspetiva da “equidade democrática” e a perspetiva da “meritocracia”. Este estudo poderá contribuir para o adensamento teórico do debate em torno da massificação e democratização da ED, com potenciais implicações no ajustamento de práticas pedagógicas, de seleção e avaliação, que promovam a ampliação e harmonização dos efeitos positivos destes processos.
Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study
Authors: Mardini Mamoun T , Bai Chen , Bavry Anthony A , Zaghloul Ahmed , Anderson R David , Price Catherine E Crenshaw , Al-Ani Mohammad A Z
Published: November 2024

Background

Transcatheter aortic valve replacement (TAVR) is a commonly used treatment for severe aortic stenosis. As degenerative aortic stenosis is primarily a disease afflicting older adults, a frailty assessment is essential to patient selection and optimal periprocedural outcomes.

Objective

This study aimed to enhance frailty assessments of TAVR candidates by integrating real-world structured and unstructured data.

Methods

This study analyzed data from 14,000 patients between January 2018 and December 2019 to assess frailty in TAVR patients at the University of Florida. Frailty was identified using the Fried criteria, which includes weight loss, exhaustion, walking speed, grip strength, and physical activity. Latent Dirichlet allocation for topic modeling and Extreme Gradient Boosting for frailty prediction were applied to unstructured clinical notes and structured electronic health record (EHR) data. We also used least absolute shrinkage and selection operator regression for feature selection. Model performance was rigorously evaluated using nested cross-validation, ensuring the generalizability of the findings.

Results

Model performance was significantly improved by combining unstructured clinical notes with structured EHR data, achieving an area under the receiver operating characteristic curve of 0.82 (SD 0.07), which surpassed the EHR-only model’s area under the receiver operating characteristic curve of 0.64 (SD 0.08). The Shapley Additive Explanations analysis found that congestive heart failure management, back problems, and atrial fibrillation were the top frailty predictors. Additionally, the latent Dirichlet allocation topic modeling identified 7 key topics, highlighting the role of specific medical treatments in predicting frailty.

Conclusions

Integrating unstructured clinical notes and structured EHR data led to a notable enhancement in predicting frailty. This method shows great potential for standardizing frailty assessments using real-world data and improving patient selection for TAVR.
Effectiveness of a Novel Web-Based Intervention to Enhance Therapeutic Relationships and Treatment Outcomes in Adult Individual Psychotherapy: Randomized Controlled Trial and Analysis of Predictors of Dropouts
Authors: Stefana Alberto , Fusar-Poli Paolo , Vieta Eduard , Youngstrom Eric A
Published: November 2024

Background

Routine process and outcome monitoring interventions added to psychotherapy are known to improve treatment outcomes, although they vary in format and effectiveness.

Objective

This study aimed to evaluate whether a therapist-independent, internet-based routine process monitoring and feedback system could significantly reduce psychological distress and enhance the quality of the therapeutic relationship compared with a treatment-as-usual control group among individuals already engaged in individual psychotherapy.

Methods

We randomized 475 participants into either the intervention group, which received access to an internet-based routine process monitoring and feedback system in addition to psychotherapy, or the control group, which received only psychotherapy. The trial lasted for 10 weeks. Follow-up assessments at 5 weeks and 10 weeks used the Clinical Outcomes in Routine Evaluation-Outcome Measure as the primary outcome, with the Working Alliance Inventory-Short Revised and the Real Relationship Inventory-Client form as secondary outcomes.

Results

Per-protocol analyses (n=166) showed that psychological distress decreased in both groups, but there was no significant advantage for the intervention group. The intervention group experienced a decline in the genuineness dimension score of the real relationship, with an effect size of d=–0.27, compared with d=0.01 in the control group. In the intervention group (but not in the control group), dropouts showed significantly lower real relationship levels (P=.002), working alliance quality (P=.051), and emotional disclosure (P=.01) compared with those who completed the study. Additionally, logistic regression revealed distinct predictors of dropout within the control group and intervention group.

Conclusions

The findings do not provide conclusive evidence for the efficacy of the new internet-based intervention in enhancing self-monitoring and prompting reflection on patients’ emotional responses to their therapists. However, the intervention appears to influence patients’ perceptions of the genuineness dimension in the therapeutic relationship, warranting further investigation. We hypothesize that this alteration in the genuineness dimension could be attributed to the intervention facilitating a more realistic and accurate perception of the therapeutic relationship among participants.

Trial Registration

ClinicalTrials.gov NCT06038747; https://clinicaltrials.gov/study/NCT06038747

International Registered Report Identifier (IRRID)

RR2-10.2196/55369
A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study (Preprint)
Authors: Van De Sijpe Greet , Gijsen Matthias , Van der Linden Lorenz , Strouven Stephanie , Simons Eline , Martens Emily , Persan Nele , Grootaert Veerle , Foulon Veerle , Casteels Minne , Verelst Sandra , Vanbrabant Peter , De Winter Sabrina , Spriet Isabel
Published: November 2024

BACKGROUND

Many patients do not receive a comprehensive medication reconciliation, mostly owing to limited resources. We hence need an approach to identify those patients at the emergency department (ED) who are at increased risk for clinically relevant discrepancies.

OBJECTIVE

The aim of our study was to develop and externally validate a prediction model to identify patients at risk for at least 1 clinically relevant medication discrepancy upon ED presentation.

METHODS

A prospective, multicenter, observational study was conducted at the University Hospitals Leuven and General Hospital Sint-Jan Brugge-Oostende AV, Belgium. Medication histories were obtained from patients admitted to the ED between November 2017 and May 2022, and clinically relevant medication discrepancies were identified. Three distinct datasets were created for model development, temporal external validation, and geographic external validation. Multivariable logistic regression with backward stepwise selection was used to select the final model. The presence of at least 1 clinically relevant discrepancy was the dependent variable. The model was evaluated by measuring calibration, discrimination, classification, and net benefit.

RESULTS

We included 824, 350, and 119 patients in the development, temporal validation, and geographic validation dataset, respectively. The final model contained 8 predictors, for example, age, residence before admission, number of drugs, and number of drugs of certain drug classes based on Anatomical Therapeutic Chemical coding. Temporal validation showed excellent calibration with a slope of 1.09 and an intercept of 0.18. Discrimination was moderate with a c-index (concordance index) of 0.67 (95% CI 0.61-0.73). In the geographic validation dataset, the calibration slope and intercept were 1.35 and 0.83, respectively, and the c-index was 0.68 (95% CI 0.58-0.78). The model showed net benefit over a range of clinically reasonable threshold probabilities and outperformed other selection criteria.

CONCLUSIONS

Our software-implemented prediction model shows moderate performance, outperforming random or typical selection criteria for medication reconciliation. Depending on available resources, the probability threshold can be customized to increase either the specificity or the sensitivity of the model.
Towards a conceptual framework for digitally supported communication, coordination, cooperation and collaboration in interprofessional healthcare: A scoping review (Preprint)
Authors: Nordmann Kim , Redlich Marie-Christin , Schaller Michael , Sauter Stefanie , Fischer Florian
Published: November 2024

BACKGROUND

Digital tools for interprofessional interaction (D4C), including electronic health records and specialised apps, are increasingly used in healthcare to ensure continuity of care across professional boundaries. Despite their growing adoption, there is not yet any comprehensive framework to guide the development, implementation and evaluation of D4C.

OBJECTIVE

This study aims to provide such a conceptual framework as a foundation for their operationalisation.

METHODS

A scoping review was conducted across Medline, CINAHL, Embase, PsycInfo and Scopus to identify studies on D4C. We included peer-reviewed studies in English, French, German, Portuguese and Spanish published since 2012. Definitions of the interaction mode (communication, coordination, cooperation and collaboration) and the digital tool supporting these interactions, along with their definitions in cited references, were extracted and analysed.

RESULTS

Of the 407 identified articles addressing D4C, 6.1% defined the digital concept and 6.6% the interaction supported by the digital tool, with even fewer being backed by a reference (4.7% for digital concepts and 3.9% for interactions). The analysis of the definitions revealed a hierarchical framework, detailing dimensions, requisites and goal for each mode of interaction and the digital tool. It delineates progression from communication to collaboration: communication enables the exchange of information; coordination involves organising people, resources and activities; cooperation focuses on dividing tasks to achieve shared goals; and collaboration, at the apex, involves jointly addressing care needs. Each mode of interaction can be supported by digital tools.

CONCLUSIONS

The proposed D4C framework offers a structured approach to understanding, implementing and evaluating digital tools for interprofessional interactions in healthcare. As such, it can inform developers for creating appropriate tools, guide policy makers with regard to regulatory decisions and support stakeholders in their understanding of D4C, possibly improving workflows and patient care. Further research is needed to operationalize and validate the framework across healthcare settings.

CLINICALTRIAL

Protocol paper:

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/45179
Модели пространственной селекции с диаграммо­образованием на основе позиционирования в сетях 5G Часть 2. Управление шириной луча
Authors: Фокин Г.А. , Волгушев Д.Б. , Синильников А.М.
Published: November 2024

В настоящей работе, продолжающей исследование, посвященное пространственной селекции устройств сверхплотных сетей радиодоступа диапазона миллиметровых волн (ММВ) пятого (5G) и последующих (B5G) поколений при диаграммообразовании на основе позиционирования, решается задача моделирования процедур управления шириной луча по местоположению. Результаты моделирования позволяют научно обосновать требования к размерности антенных решеток на базовых станциях с заданной погрешностью оценок координат подвижных устройств при управлении шириной луча.
Сравнительный анализ источников света для спектрофотометров
Authors: Копейченко М.А.
Published: November 2024

Спектрофотометрия – метод анализа, который широко применяется в химии,
биологии, медицине и многих других областях науки и техники. Одним из ключевых
элементов спектрофотометра является источник света. Сегодня наиболее часто
используются два типа источников излучения: ксеноновые и галогенные лампы
в паре с дейтериевыми. В статье проведен сравнительный анализ этих типов ламп
с целью выявления преимуществ и недостатков их применения в спектрофотомерии.
A critical review of the article: Experimental investigation of the effect of infill parameters on dynamic compressive performance of 3D-printed carbon fiber reinforced polyethylene terephthalate glycol composites
Authors: Zavala Villalpando José Guadalupe , Martínez Nolasco Juan José , Alcaraz Caracheo Luis Alejandro
Published: November 2024

Understanding the dynamic properties of 3D-printed materials subjected to high strain rates enables designers and engineers to obtain engineering data for designing components subjected to dynamic loads. The work of Chili et al., presented in 2023, is the most recent research that evaluates the properties of carbon fiber-reinforced polyethylene terephthalate glycol (CF-PETG) using the Split Hopkinson Pressure Bar (SHPB) test. A detailed analysis and discussion of the results presented in the analyzed document are provided. Finally, the areas for improvement in the research are highlighted to achieve better results.
Memorias del XVIII Congreso Nacional de Paleontología de la Sociedad Mexicana de Paleontología. Morelia, Michoacán.
Authors: Moreno Bedmar Josep Anton
Published: November 2024

Estos son los resúmenes de los trabajos presentados en el XVIII Congreso Nacional de Paleontología de la Sociedad Mexicana de Paleontología, el cual se llevó a cabo en Morelia, Michoacán del 23 al 27 de septiembre de 2024.
Bio Fiber Odyssey
Authors: Karne Hemlata U. , Dhole Krutika P. , Guhagarkar Abhishek S. , Alanadakar Manthan , Dabhade Shruti , Gawande Harshal
Published: November 2024

Abstract: Solid waste management presents a significant challenge for modern society. This research project aims to address this
issue by utilizing agricultural waste—specifically, sugarcane bagasse, banana fibers, and dry leaves—to manufacture handmade
paper. The fibers are collected, sun-dried, and cleaned in a water vat to remove dust and impurities. They are then cooked with a
10% caustic solution in a pressure cooker and subsequently blended for different time intervals. To achieve discoloration and
further purification, a diluted Clorox solution is employed. Three types of paper are produced: one using only the raw fibers,
another with the addition of 2% calcium carbonate and 2% starch, and a third with 5% of these additives. The papers are then
dried and ironed to enhance smoothness. Various properties, including GSM, pH, thickness, bulk, and moisture content, are
measured. Papers made from bagasse fibers are heavier and more suitable for rough use, while those made from banana fibers
are softer and ideal for applications such as tissues and wipes. This eco-friendly process not only utilizes agricultural waste but
also consumes minimal electricity.
Effect of Layer Thickness on the Tensile and Impact Behaviour of SLA-Printed Parts
Authors: P Taranath T , S Varun K , B Thimmegowda M
Published: November 2024

Abstract: This paper systematically investigates the influence of layer thickness on the mechanical properties of the SLA printed
parts. Specimens were fabricated with four different layer thicknesses, namely 25, 50, 75, and 100 microns, and evaluated for
tensile and impact performance. Results showed that as layer thickness increases, mechanical properties significantly
deteriorate. The tensile strength values had decreased from 57.5 MPa at 25 microns to 38.2 MPa at 100 microns, while the
impact strength declined from 9.5 J/mm² to 5.5 J/mm² over that same range. The major causes for this mechanical property
degradation are the poor adhesion between the layers, increased surface roughness, and imperfections introduced by the
formation of thicker layers. On the contrary, with the thinner layers, the approach tends to produce layers having stronger
interlayer bonding, reduced defect percentages, and higher structural integrity; therefore, superior mechanical performance.
The investigation can furnish helpful guidelines for optimizing the thickness of layers in SLA printing so as to balance
mechanical properties with production efficiency while catering to the need of high-precision applications requiring superior
mechanical strength and excellent impact resistance
Detectoron (Drone based Intelligent Magnetic Sensing and Metallic Anomaly Detection System)
Authors: Mittal Rinkesh , Bhardwaj Swati , Pandey Vardaan , Saini Vishank
Published: November 2024

Abstract: Drone technology has revolutionized various sectors, from agriculture to surveillance. A rapidly emerging field is
drones equipped with intelligent magnetic sensing systems for detecting metallic anomalies. This system enables the precise
location and identification of hidden or buried metallic objects, with applications in defense, archaeology, and infrastructure
monitoring. The integration of machine learning algorithms and advanced data processing techniques into these drones
enhances their ability to detect metallic anomalies with high accuracy, even in complex environments. This paper explores the
development of a drone-based intelligent magnetic sensing system and its application in real-world scenarios, emphasizing its
potential in metallic anomaly detection. We will examine the system's underlying technology, key challenges, and future
possibilities for improvement and wider deployment.
Insurtech\'s Role in Enhancing Healthcare Insurance Accessibility and Efficiency in India
Authors: Sumathy Dr. M. , M Ms. Bharathi.
Published: November 2024

Abstract: Insurance Technology (Insurtech) is transforming healthcare this paper explores how innovative technologies such as
digital on boarding, automated claims processing, wearable health trackers, and predictive analytics are reshaping the industry.
These advancements have not only streamlined processes but also brought insurance services to underserved areas, offering
personalized solutions that significantly enhance customer satisfaction. Technologies like telemedicine, block chain for secure
transactions, and AI-driven risk analysis are playing a transformative role in improving transparency, speeding up claims
processing, and delivering tailored insurance products. These developments are creating a more inclusive and efficient
insurance system. However, challenges such as data privacy concerns, regulatory hurdles, and low levels of digital literacy
remain obstacles to fully realizing the sector's potential. This study also highlights trends in InsurTech funding in India, the
increasing demand for health-focused insurance products, and the role of technology in improving policyholder engagement.
InsurTech is poised to redefine healthcare insurance in India, driving operational excellence, expanding coverage, and
enhancing service quality. The study offers insights into Insurtech and how to reshape healthcare insurance in India.
Low level of local wisdom-based biology education research: What should we do?
Authors: Fauzi Ahmad , Siswati Bea Hana , Ramadani Shefa Dwijayanti
Published: November 2024

Research on local wisdom-based biology education is increasingly important in efforts to enrich the national curriculum and preserve Indonesia's cultural heritage. However, systematic studies on trends and varieties of research in this field are still limited. This study aims to analyze trends in local wisdom-based biology education research in Indonesia using data from SINTA 1 to 3 accredited journals during the period 2013-2022. Using a systematic search method, 77 articles related to local wisdom from 22 journals were identified. The analysis shows that although the number of articles has increased from year to year, the percentage of publications focusing on local wisdom is still low. This study also identified a variety of research designs, development models, measured data, and diverse research areas. These findings highlight the need for increased attention to local wisdom-based research in biology education and the development of more standardized instruments to support the sustainability and integration of local wisdom in education. These results are expected to be a reference for researchers and educators in developing a curriculum that is contextual and relevant to local wisdom in Indonesia.