bluuebunny/crossref_metadata_2025 huggingface dataset:
Formation of cheese pattern when using monospecies cultures
Authors: Sviridenko G. M. , Shukhalova O. M. , Vakhrusheva D. S. , Mamykin D. S.
Published: July 2024

The article presents the results of a study of the influence of monospecies gas-aroma-forming cultures Lactococcus lactis subsp. lactis biovar. diacetylactis (L. diacetylactis) and Leuconostoc subsp. on the peculiarities of pattern formation in cheeses with a low second heating temperature molded from a layer. The studied cultures were used at a dose of 0.6% of the total milk volume as as single starter microflora in the model cheeses (1-M and 2-M) and additional microflora along with the main lactococcal microflora (Lactococcus lactis subsp. lactis; Lactococcus cremoris) in the control cheeses (1-K and 2-K). The model and control cheeses were subjected to microbiological tests (total number of lactic acid microorganisms, number of L. diacetylactis and Leuconostoc subsp.), physicochemical (mass fraction of moisture, pH), biochemical (mass fraction of lactose) and organoleptic studies after pressing and during ripening at the age of 15, 30, 45, 60 days. It has been established that the use of a culture of citrate-fermenting lactococci L. diacetylactis ensures a stable lactic acid fermentation process during the production and ripening of the model and control cheeses, the formation of an elastic consistency and the desired pattern with eyes of a regular round shape. The use of the hetero-fermentative culture Leuconostoc subsp., as single starter microflora, does not guarantee the required level of lactic acid fermentation during cheese production and leads to an increase in the moisture content of the cheese mass after pressing and overacidification of the cheese in the first stages of ripening, which together contributes to the formation of an overly plastic consistency and an overdeveloped pattern in the form of cracks. The use of Leuconostoc subsp. as a gas-aroma-forming component of a traditional starter culture for semi-hard cheeses, also consisting of mesophilic lactococci Lc. lactis subsp. lactis and Lc. cremoris, causes the development of a nest-like pattern, which does not fully ensure the formation of the desired pattern with regular rounded eyes.
Risk assessment in production of functional food products by means of RCA method
Authors: Dydykin A. S. , Zubarev Yu. N. , Logunova E. I. , Kuzlyakina Yu. A.
Published: July 2024

According to the results of review of the regulatory legal acts and standardization documents, the necessity has been determined to develop a methodology for risk assessment in production of functional food products and its introduction into operation for implementation of the quality control system of food products fortified with iodine. This article represents the description of development of risk assessment methodology assigned for assessing the quality control system for functional foods fortified with iodine. The hazardous event in this case is the non-compliance of the food product with the regulatory requirements, in particular the decrease of iodine content in the functional foods down to a level below 30 mcg/100g of the product, which is less than 15% of an adult person's daily requirement. To assess the probable risks that can affect the peculiar features of the functional foods, RCA root cause mapping system was proposed that includes the standard methods: Ishikawa cause and effect diagram, fault tree analysis FTA, failure mode and effect analysis FMEA, and Pareto analysis. The technology of producing of the cooked sausages fortified with iodine-containing food ingredients was chosen as the object of research, as this technology is associated with a wide variety of technological modes and methods of raw materials processing, as well as the storage conditions of the ready products. The results of the study included a review of the collected data, consideration of the hypothesis, expert opinion on the most probable root causes of failures and losses, and the recommended preventive and corrective actions.
Modern biological methods of processing plant raw materials used to increase its storage capacity
Authors: Posokina N. E. , Zakharova A. I.
Published: July 2024

Foodborne illnesses, mainly infectious, are a leading cause of morbidity and mortality worldwide. Pathogenic bacteria are present at virtually every stage of the food production chain, compromising company food safety programs and causing out-breaks of foodborne illnesses in various regions of the world. Finding new solutions that provide adequate microbiological stability to minimally processed foods is key to controlling bacterial pathogens that cause foodborne illnesses. The use of chemical and physical methods of food preservation often leads to a deterioration in their nutritional value, physical and organoleptic properties. Minimally processed foods produced without any radical preservation methods may be at particular risk of developing microorganisms, including pathogens. Low-temperature production processes and refrigerated storage promote the development of psychrophilic microorganisms; another threat is posed by high microbiological contamination of raw materials. To preserve the quality of food products, the most commonly used physicochemical methods include modified atmosphere packaging, membrane methods or ultrasound. Alternatively, biological methods can be used: bacteriophages and phage cocktails, bacteriocins, inactivation of plant tissue degradation enzymes, phytochemicals, edible coatings. Moreover, they can be used either individually to limit the growth of bacteria in the food environment, or in combination with other methods in order to achieve maximum effect. This article discusses the main biological methods of combating pathogenic bacteria most commonly found in the food environment. The purpose of this review was to consider existing biological methods for processing plant objects, as well as to identify the advantages and disadvantages of each method.
The socio-technical short-term implications of drinking water hoarding on supply reliability
Authors: Satish Rahul , Oberascher Martin , Ender Monica , Lampalzer Thomas , Rief Silvia , Sitzenfrei Robert
Published: July 2024

Panic buying during crises, like the initial hoarding of toilet paper amid COVID-19 restrictions, is mainly driven by social and emotional factors influenced by risk perception and social media content. Similarly, unreasonable drinking water hoarding, i.e., simultaneous withdrawal of water by a large number of customers, can influence the performance of water supply systems (WSS). Decreasing performance (e.g., more friction losses and therefore a smaller outflow rate at faucets) can cause a negative feedback loop that might trigger further water hoarding behaviours. This research explores the socio-technical implications of water hoarding in crisis situations within a WSS. An analysis of an Alpine WSS in Austria reveals that up to 40% of households, with a filling rate of 0.1 L/s (bathtub filling), can hoard without performance drop and negative feedback. Beyond this threshold, impacts become noticeable, leading to inadequate water supply for some households, causing disruptions and negative feedback loops. This emphasizes the need for information campaigns to counter false information, preventing emotional triggers. In conclusion, the research highlights the interplay between technical and social factors in crisis water demand management, stressing the importance of informed interventions to mitigate hoarding behaviour and maintain efficient WSS operation.
Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches
Authors: Kumar Sanjit , Oliveto Giuseppe , Deshpande Vishal , Agarwal Mayank , Rathnayake Upaka
Published: July 2024

Forecasting the time-dependent scour depth (dst) is very important for the protection of bridge structures. Since scour is the result of a complicated interaction between structure, sediment, and flow velocity, empirical equations cannot guarantee an advanced accuracy, although they would preserve the merit of being straightforward and physically inspiring. In this article, we propose three ensemble machine learning methods to forecast the time-dependent scour depth at piers: extreme gradient boosting regressor (XGBR), random forest regressor (RFR), and extra trees regressor (ETR). These models predict the scour depth at a given time, dst, based on the following main variables: the median grain size, d50, the sediment gradation, σg, the approach flow velocity, U, the approach flow depth y, the pier diameter Dp, and the time t. A total of 555 data points from different studies have been taken for this research work. The results indicate that all the proposed models precisely estimate the time-dependent scour depth. However, the XGBR method performs better than the other methods with R = 0.97, NSE = 0.93, AI = 0.98, and CRMSE = 0.09 at the testing stage. Sensitivity analysis exhibits that the time-dependent scour depth is highly influenced by the time scale.
Research on the coupling effect of water security and socio-economy in five economic zones of Sichuan Province, China
Authors: He Zuli , Liu Bin , Liu Jian , Xia Xinyu , Han Suyue , Pan Ke , Li Jiajia , Tang Long
Published: July 2024

The uneven distribution, scarcity, and pollution of water resources can significantly hinder socioeconomic development. A conceptual framework of Water Resources Endowment-Efficiency-Pressure-Response-Structure-Cycle (2EPRSC) was proposed, and 16 indicators were selected to establish the evaluation index system. Taking the five economic zones in the Sichuan Province of China as the research area, the genetic algorithm optimized entropy weighting method-cloud model was applied to determine the water security grades. Subsequently, the coupling coordination degree (CCD) model was established based on water security system (WSS)-SES to analyze the CCD. The results showed that (1) temperature and investment were the two indicators with more significant impacts on water security in Sichuan Province. (2) From 2012 to 2022, water security in Sichuan Province as a whole presented a decreasing and then increasing trend. (3) From 2012 to 2022, CCDs of the WSS-SES in Sichuan Province's economic zones were mostly at moderate imbalance, with the Chengdu Plain economic zone showing the highest CCD. Overall, the CCD scores across the economic zones were on an ascending trajectory. The study, grounded in the state of water security and CCD in Sichuan, can forge a scientific foundation for the sustainable development of WSS-SES.
Contribution of water, sanitation, hygiene and basic education to reduce under-five mortality in Sudan
Authors: Mohamed Elwasila Saeed Elamin
Published: July 2024

Until 2015, the under-five mortality rate (U5MR) in Sudan was 65.9 per 1,000 livebirths, higher than the MDG4 target, and it has to be reduced by 5.04% per year from its 2020 level to achieve the SDG3.2 by 2030. This target cannot be achieved without improvements in access to safe drinking water (ASW), sanitation and hygiene (ISF) (WASH) and basic education. An estimated autoregressive distributed lag bounds test model confirms a long-run equilibrium relationship between U5MR, WASH, basic education, economic growth and health care. In the short run, U5MR decelerates itself with a coefficient of 0.56. Sanitation and basic education significantly reduce U5MR. Collectively, health care and economic growth affect U5MR adversely. In the long run, declines of U5MR are driven respectively by access to sanitation, hygiene and basic education (a factor of 1.79), economic growth (a factor of 0.21), and health care (a factor of 0.18). The study recommends promotion of access to safe drinking water with investments in sanitation and hygiene of 32 million $US annually between 2020 and 2030, in order to meet the SDG3.2 in Sudan. Skilled physicians and full vaccination of children can be more effective in reducing U5MR, dependent on progress in safe WASH.
Experimental study of methylene blue adsorption from aqueous solutions onto natural Algerian goethite
Authors: Larakeb Manal , Remmache Mohammed Ridha , Senoussi Mohammed Mourad , Ziar Aissaoui , Hadjeris Lazhar
Published: July 2024

The objective of this work is to study and model the methylene blue (MB) sorption, from aqueous solutions by goethite. The equilibrium time was reached during 10 min of agitation with 26.21 ℅ efficiency. MB removal efficiency is improved with an increased absorbent dose (0.5–08 g/L) for an initial 10 mg/L concentration. Treatment efficiency decreases with the increase of initial MB concentration (2–100 mg/L). The best adsorption yields were obtained in basic media. MB sorption kinetics via goethite leads to several results as to mechanisms that govern kinetics and isotherms equilibrium: Blanchard's model provides a better fit of the experimental results compared to Lagergren's model. Thus, the MB sorption kinetics is described by the pseudo-second order. Particle diffusion is involved in the MB removal mechanism, but it is not the only limiting step and the Boyd model application confirms that diffusion in the pores is the limiting step of the MB sorption process. The Elovich model is well verified and translated probably the existence of chemical-type interactions between MB and goethite. The study of MB adsorption isotherms showed that Freundlich, Temkin, and Elovich models are the best adapted than the Langmuir model. Finally, we can assess that goethite can be an interesting natural adsorbent for MB elimination from polluted waters in basic environments.
A edição atualizada do "Báculo Pastoral de Flores de Exemplos" de Francisco Saraiva de Sousa
Authors: Barbosa Machado José
Published: July 2024

Neste estudo, faremos uma apresentação da obra seiscentista Báculo Pastoral de Flores de Exemplos, de Francisco Saraiva de Sousa, publicada pela primeira vez em 1624 por Pedro Craesbeeck. A obra, cuja última edição é de 1738, por ser rara de encontrar e ter grande interesse do ponto de vista religioso, linguístico e literário, é de momento objeto de uma edição atualizada, a sair em breve. No presente estudo, daremos algumas informações bibliográficas acerca das várias edições da obra e do seu autor, falaremos do conteúdo (estrutura, temática, autores citados, etc.), referiremos algumas particularidades gráficas e linguísticas e apresentaremos os critérios que estabelecemos para a elaboração da edição atualizada. Em anexo, incluiremos, como exemplo, a transcrição do Capítulo XXVIII da obra, relativo ao pecado da gula.
Effect of layered double hydroxide-graphene oxide modifier composition on characteristics of polyvinylidene fluoride based nanocomposite membranes in the separation of Cu2+
Authors: Kusumawati Nita , Setiarso Pirim , Supari Muslim  , Sinta Anjas Cahyani  , Nafisatus Zakiyah  , Kahfi Ashabul
Published: July 2024

This research explored the modified polyvinylidene fluoride (PVDF) nanofiber membranes with a composite of layered double hydroxide (LDH) and graphene oxide (GO) to enhance biofouling resistance. The PVDF/LDH-GO nanocomposite membranes were synthesized via vacuum filtration. FTIR analysis confirmed nanocomposite formation with new peaks indicating the presence of GO and LDH. Variations in the LDH:GO ratio affected the physical, mechanical, and performance properties of the membranes. Based on SEM imaging, the 1:1 LDH: GO ratio exhibited the highest Young's modulus and smallest pore sizes. LDH-GO incorporation increased the mechanical strength, porosity, roughness, hydrophilicity, and pure water permeability of the PVDF membranes. The combination of these factors led to balanced permeability and selectivity values towards Cu2+ solution feeds. LDH-GO was proven effective in modifying the PVDF membrane surface for water treatment and inhibiting biofouling up to 64% against E. coli.
Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability Study
Authors: Pirmani Ashkan , Oldenhof Martijn , Peeters Liesbet M , De Brouwer Edward , Moreau Yves
Published: July 2024

Background

The integrity and reliability of clinical research outcomes rely heavily on access to vast amounts of data. However, the fragmented distribution of these data across multiple institutions, along with ethical and regulatory barriers, presents significant challenges to accessing relevant data. While federated learning offers a promising solution to leverage insights from fragmented data sets, its adoption faces hurdles due to implementation complexities, scalability issues, and inclusivity challenges.

Objective

This paper introduces Federated Learning for Everyone (FL4E), an accessible framework facilitating multistakeholder collaboration in clinical research. It focuses on simplifying federated learning through an innovative ecosystem-based approach.

Methods

The “degree of federation” is a fundamental concept of FL4E, allowing for flexible integration of federated and centralized learning models. This feature provides a customizable solution by enabling users to choose the level of data decentralization based on specific health care settings or project needs, making federated learning more adaptable and efficient. By using an ecosystem-based collaborative learning strategy, FL4E encourages a comprehensive platform for managing real-world data, enhancing collaboration and knowledge sharing among its stakeholders.

Results

Evaluating FL4E’s effectiveness using real-world health care data sets has highlighted its ecosystem-oriented and inclusive design. By applying hybrid models to 2 distinct analytical tasks—classification and survival analysis—within real-world settings, we have effectively measured the “degree of federation” across various contexts. These evaluations show that FL4E’s hybrid models not only match the performance of fully federated models but also avoid the substantial overhead usually linked with these models. Achieving this balance greatly enhances collaborative initiatives and broadens the scope of analytical possibilities within the ecosystem.

Conclusions

FL4E represents a significant step forward in collaborative clinical research by merging the benefits of centralized and federated learning. Its modular ecosystem-based design and the “degree of federation” feature make it an inclusive, customizable framework suitable for a wide array of clinical research scenarios, promising to revolutionize the field through improved collaboration and data use. Detailed implementation and analyses are available on the associated GitHub repository.
Research Into Digital Health Intervention for Mental Health: 25-Year Retrospective on the Ethical and Legal Challenges
Authors: Hall Charlotte L , Gómez Bergin Aislinn D , Rennick-Egglestone Stefan
Published: July 2024

Digital mental health interventions are routinely integrated into mental health services internationally and can contribute to reducing the global mental health treatment gap identified by the World Health Organization. Research teams designing and delivering evaluations frequently invest substantial effort in deliberating on ethical and legal challenges around digital mental health interventions. In this article, we reflect on our own research experience with digital mental health intervention design and evaluation to identify 8 of the most critical challenges that we or others have faced, and that have ethical or legal consequences. These include: (1) harm caused by online recruitment work; (2) monitoring of intervention safety; (3) exclusion of specific demographic or clinical groups; (4) inadequate robustness of effectiveness and cost-effectiveness findings; (5) adequately conceptualizing and supporting engagement and adherence; (6) structural barriers to implementation; (7) data protection and intellectual property; and (8) regulatory ambiguity relating to digital mental health interventions that are medical devices. As we describe these challenges, we have highlighted serious consequences that can or have occurred, such as substantial delays to studies if regulations around Software as a Medical Device (SaMD) are not fully understood, or if regulations change substantially during the study lifecycle. Collectively, the challenges we have identified highlight a substantial body of required knowledge and expertise, either within the team or through access to external experts. Ensuring access to knowledge requires careful planning and adequate financial resources (for example, paying public contributors to engage in debate on critical ethical issues or paying for legal opinions on regulatory issues). Access to such resources can be planned for on a per-study basis and enabled through funding proposals. However, organizations regularly engaged in the development and evaluation of digital mental health interventions should consider creating or supporting structures such as advisory groups that can retain necessary competencies, such as in medical device regulation.
Twenty-Five Years of AI in Neurology: The Journey of Predictive Medicine and Biological Breakthroughs
Authors: Gutman Barak , Shmilovitch Amit-Haim , Aran Dvir , Shelly Shahar
Published: July 2024

Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting up to 15% of the world population, with the burden of chronic neurodegenerative diseases having doubled over the last 2 decades. Two decades ago, neurologists relying solely on clinical signs and basic imaging faced challenges in diagnosis and treatment. Today, the integration of artificial intelligence (AI) and bioinformatic methods is changing this landscape. This paper explores this transformative journey, emphasizing the critical role of AI in neurology, aiming to integrate a multitude of methods and thereby enhance the field of neurology. Over the past 25 years, integrating biomedical data science into medicine, particularly neurology, has fundamentally transformed how we understand, diagnose, and treat neurological diseases. Advances in genomics sequencing, the introduction of new imaging methods, the discovery of novel molecular biomarkers for nervous system function, a comprehensive understanding of immunology and neuroimmunology shaping disease subtypes, and the advent of advanced electrophysiological recording methods, alongside the digitalization of medical records and the rise of AI, all led to an unparalleled surge in data within neurology. In addition, telemedicine and web-based interactive health platforms, accelerated by the COVID-19 pandemic, have become integral to neurology practice. The real-world impact of these advancements is evident, with AI-driven analysis of imaging and genetic data leading to earlier and more accurate diagnoses of conditions such as multiple sclerosis, Parkinson disease, amyotrophic lateral sclerosis, Alzheimer disease, and more. Neuroinformatics is the key component connecting all these advances. By harnessing the power of IT and computational methods to efficiently organize, analyze, and interpret vast datasets, we can extract meaningful insights from complex neurological data, contributing to a deeper understanding of the intricate workings of the brain. In this paper, we describe the large-scale datasets that have emerged in neurology over the last 25 years and showcase the major advancements made by integrating these datasets with advanced neuroinformatic approaches for the diagnosis and treatment of neurological disorders. We further discuss challenges in integrating AI into neurology, including ethical considerations in data use, the need for further personalization of treatment, and embracing new emerging technologies like quantum computing. These developments are shaping a future where neurological care is more precise, accessible, and tailored to individual patient needs. We believe further advancements in AI will bridge traditional medical disciplines and cutting-edge technology, navigating the complexities of neurological data and steering medicine toward a future of more precise, accessible, and patient-centric health care.
Policy Guidance for Direct-to-Consumer Genetic Testing Services: Framework Development Study (Preprint)
Authors: Onstwedder Suzanne Maria , Jansen Marleen Elizabeth , Cornel Martina Cornelia , Rigter Tessel
Published: July 2024

BACKGROUND

The online offer of commercial genetic tests, also called direct-to-consumer genetic tests (DTC-GTs), enables citizens to gain insight into their health and disease risk based on their genetic profiles. DTC-GT offers often consist of a combination of services or aspects, including advertisements, information, DNA analysis, and medical or lifestyle advice. The risks and benefits of DTC-GT services have been debated and studied extensively, but instruments that assess DTC-GT services and aid policy are lacking. This leads to uncertainty among policy makers, law enforcers, and regulators on how to ensure and balance both public safety and autonomy and about the responsibilities these 3 parties have toward the public.

OBJECTIVE

This study aimed to develop a framework that outlines aspects of DTC-GTs that lead to policy issues and to help provide policy guidance regarding DTC-GT services.

METHODS

We performed 3 steps: (1) an integrative literature review to identify risks and benefits of DTC-GT services for consumers and society in Embase and Medline (January 2014-June 2022), (2) structuring benefits and risks in different steps of the consumer journey, and (3) development of a checklist for policy guidance.

RESULTS

Potential risks and benefits of DTC-GT services were mapped from 134 papers and structured into 6 phases. In summary, these phases were called the consumer journey: (1) exposure, (2) pretest information, (3) DNA analysis, (4) data management, (5) posttest information, and (6) individual and societal impact. The checklist for evaluation of DTC-GT services consisted of 8 themes, covering 38 items that may raise policy issues in DTC-GT services. The themes included the following aspects: general service content, validity and quality assurance, potential data and privacy risks, scientific evidence and robustness, and quality of the provided information.

CONCLUSIONS

Both the consumer journey and the checklist break the DTC-GT offer down into key aspects that may impact and compromise individual and public health, safety, and autonomy. This framework helps policy makers, regulators, and law enforcers develop methods to interpret, assess, and act in the DTC-GT service market.
Enhancement of Immersive Technology Use in Pediatric Health Care With Accessible, Context-Specific Training: Descriptive Feasibility Study (Preprint)
Authors: Li Brian S K , Fereday Brendan , Wang Ellen , Rodriguez Samuel , Forssell Karin , Bollaert André N , Menendez Maria , Caruso Thomas J
Published: July 2024

BACKGROUND

Immersive technology provides adjuncts for pediatric care. However, accessibility and inadequate training limit implementation of this technology. Standardized instruction with no-cost software licensing may improve health care professionals’ facility with immersive technologies.

OBJECTIVE

This descriptive feasibility study aimed to examine the applications of immersive technologies in pediatric health care, including virtual reality (VR) and projectors.

METHODS

We developed immersive technology instructional guides for pediatric health care. The training guides were created for multiple software content and hardware types across several clinical scenarios. Content was available in print and digital versions. The primary outcome was technology use across sites with no-cost software agreements. The secondary outcome was the specific application types used at a single site, stratified by sessions and minutes. Data were analyzed using descriptive statistics.

RESULTS

Data were collected from 19 licensed sites from January through June 2022. Among the 19 sites, 32% (n=6) used 10 or more VR units. Among the 6 sites that had projectors, half used 5 or more units. The mean minutes of use per month of all sites combined was 2199 (IQR 51-1058). Three sites had more than 10,000 minutes of total use during the 6-month review period. Secondary results indicated that active VR (977 total sessions) and passive projector streaming (1261 total sessions) were the most popular application types by session, while active projector (66,849 total minutes) and passive projector streaming (32,711 total minutes) were the most popular types when stratified by minutes of use. The active VR application with the most minutes of use was an application often used in physical therapy.

CONCLUSIONS

Context-specific technological instruction coupled to no-cost licenses may increase access to immersive technology in pediatric health care settings.
A Bayesian network approach for prognostic assessment in acute mild to moderate ischaemic stroke: Insights from a Multicentre Study (Preprint)
Authors: Liu Xingyu , Mo Jiali , Liu Zuting , Yi Yingping , Tu Jianglong , Zhang Hongyan , Kuang Jie
Published: July 2024

BACKGROUND

Mild to moderate ischaemic stroke accounts for one-half to two-thirds of all ischaemic stroke hospitalisations worldwide, yet prognostic models to assess functional outcome after stroke remain elusive.

OBJECTIVE

This study aimed to identify the risk factors and develop a prognostic assessment model for short-term functional outcome in patients with acute mild-to-moderate ischaemic stroke using the Bayesian Network (BN) approach.

METHODS

Patients participating in a multicentre randomised controlled trial were eligible for inclusion in this study. The least absolute shrinkage and selection operator (LASSO) regression was applied to reduce the dimensionality of the data, and synthetic minority oversampling technology (SMOTE) was used to correct data imbalances. The Bayesian network model was trained using a hill-climbing algorithm to determine the optimal network structure. The area under the receiver operating characteristic curve (AUROC) and the calibration plot were used to assess model performance.

RESULTS

A total of 2,432 patients were included for analysis, 424（17.43%）patients had unfavorable outcome in 3-month after AIS,. The BN model identified the NIH Stroke Scale (NIHSS) score, age, C-reactive protein (CRP) levels, fasting plasma glucose (FPG), and history of stroke as significant prognostic factors. The BN model outperformed the logistic regression model in accuracy, sensitivity, and F1 score in test sets, with significant differences in the AUROC as per the DeLong test (P < 0.05). The calibration plot showed good agreement between predictions and observations in both the training and test sets.

CONCLUSIONS

The NIHSS score, age, CRP levels, FPG, and history of stroke are significant predictors of functional outcome in AIS patients. The BN model demonstrates superior predictive performance compared to traditional logistic regression, suggesting its potential as a valuable tool for assessing short-term prognosis in mild-moderate ischaemic stroke patients.

CLINICALTRIAL

The trial is registered in the Chinese Clinical Trial Registry (http://www. chictr.org.cn/, ChiCTR1900026492) on 12 October 2019.
Developing an Intelligent Motor Function Assessment System (IMFAS) for post-stroke rehabilitation using multi-data fusion (Preprint)
Authors: Ye Haiyan , Tian Yifan , Liu Ye , Xun Fang , Dong Ying , Sun Xiaomeng , Lv Xueli , Zhang Yingxin , Qin Qing , Chen Di
Published: July 2024

BACKGROUND

Stroke remains a leading global health concern due to its high rates of incidence, recurrence, disability, mortality, and significant economic impact. Traditional methods for assessing motor function in stroke patients are often subjective and not sufficiently sensitive to subtle changes.

OBJECTIVE

To present the architectural, modular, and functional designs and theoretical underpinnings of a novel Intelligent Motor Function Assessment System (IMFAS) and inspire further research, development, and clinical adoptions by showcasing its design and potential applications.

METHODS

We developed the IMFAS through a comprehensive design process including a literature review, consultations with rehabilitation professionals, feedback from stroke patients, workflow analysis in clinical settings, and multidisciplinary input. The system incorporated several advanced technologies, including sensors, computer vision, machine learning, and virtual reality, to gather and analyze data.

RESULTS

The IMFAS architecture supports continuous, real-time assessment and monitoring of motor functions, facilitating the development of dynamic and personalized rehabilitation plans. It enables remote rehabilitation assessments, allowing patients to perform exercises under virtual supervision. It shows potential for enhancing the objectivity and accuracy of assessments compared to traditional methods, streamline clinical workflows, and support proactive management of rehabilitation plans.

CONCLUSIONS

As an innovative advancement in post-stroke rehabilitation, the IMFAS addresses critical limitations of traditional assessment methods by providing comprehensive, accurate, and quantifiable assessments. By leveraging multi-data fusion and AI technologies, the system enhances the personalization and effectiveness of post-stroke rehabilitation strategies and demonstrates potential for broader adoption in clinical settings. Further research and development are necessary to optimize the current functions, evaluate its clinical performance, and expand its its integration into routine clinical practice.
Daily negative affect and reaction time inconsistency in emerging adults: An ecological momentary assessment study (Preprint)
Authors: Rutter Lauren Alexandra , Chen Pei-Ying , Lakhan Prabhvir , Germine Laura , Hawks Zoe
Published: July 2024

BACKGROUND

Emotional disorders like depression and anxiety are characterized by high levels of negative affect (NA), frequent fluctuations in NA, and deficits in cognitive performance. College students are among the most vulnerable to emotional disorders.

OBJECTIVE

Despite recent advances in cognitive ecological momentary assessment (EMA), it remains unclear how daily experiences of NA impact momentary cognitive performance in emerging adults. Our primary objective was to test the hypothesis was that fluctuations in NA would be associated with RT inconsistency.

METHODS

Undergraduate and graduate students (N=99) completed an online baseline assessment as part of a 14-day EMA protocol. Baseline included self-report questionnaires measuring emotional disorder symptoms (neuroticism, anxiety, depression, insomnia) and a battery of cognitive tasks. Daily EMAs measured affect using the Positive and Negative Affect Schedule and cognition using a Choice Reaction Time (RT) task. We evaluated correlations among emotional disorder symptoms at baseline as a validity check. We ran multilevel models examining within- person associations between NA and trial-level RT inconsistency.

RESULTS

Between individuals, NA, neuroticism, depression, and anxiety symptoms were all positively and significantly correlated at baseline. Within individuals, greater NA predicted greater RT inconsistency, controlling for several demographic and clinical variables.

CONCLUSIONS

Partially consistent with hypotheses, we observed greater RT inconsistency on days when NA was higher than usual. However, this main effect was
moderated by practice effects, and within-person effect of NA on RT inconsistency diminished over time in the study. Results have implications for mental health and academic performance. Specifically, performance may be more inconsistent when individuals experience higher NA and stress.

CLINICALTRIAL

NA
Integration and Industrialization of Film and Television Resources and its Significance for China’s Film and Television Work
Authors: Yang Anbo , Xie Wantong , Rao Shanshan , Li Yu , Fu Yuze , Jin Jiankun , Wu Jingrong , Fan Nengpeng
Published: July 2024

The abundance of Film and Television resources in China is notable, yet the effective amalgamation and industrialization of these resources hold immense importance for the nation's film and television endeavors. Utilizing the full potential of policy, market, talent, and cultural assets, this research achieves the industrialization of Film and Television resources via a comprehensive amalgamation and integration of various capital, cooperation, and industry sectors. The findings of our study indicate that merging and mechanizing Film and Television resources in the realm of film and TV not only enhances their usage efficiency and financial worth, but also elevates their quality and expressive capacity. Consequently, this approach enables efficient education in Film and Television for the film and television sector in China. The research aids in comprehending the significance of incorporating Film and Television resource industrialization into film and TV projects, and also serves as a valuable methodological guide for diverse film and TV endeavors via these resources.
On the Socialist Core and Its Modern and Contemporary Values in How the Steel was Tempered from the Perspective of Education
Authors: Yang Anbo , Wang Enjun , Wu Jingrong , Xu Ting , Rao Jing , Xiong Youchun , Hu Yongji , Fan Nengpeng , Bao Linshan
Published: July 2024

In-depth study of literary appreciation and its educational value for the book "How the Steel was Tempered", interpreted from a pedagogical perspective and in the context of socialist core values. Firstly, starting from the socialist core, the deep relationship between characterization, plot setting and theme is analyzed. Secondly, through the analysis of the growth experience of the hero, Paul Kochagin, the educational significance of his socialist spirit such as adhering to ideals and faiths, unremitting self-improvement and optimism is revealed. Finally, the paper discusses the value of the work in the contemporary content, emphasizing its positive effects on cultivating contemporary youth to take social responsibility, promoting the socialist core values, and upgrading the national moral quality. The research shows that "How the Steel was Tempered", with its profound socialist core and extensive educational value, is of great practical significance for us to deepen the education of socialist core values and guide the youth to establish a correct worldview and values.
régimen municipal mexicano y español en la adopción del gobierno abierto
Authors: Labandeira García Raúl , Martínez Justo Manuel
Published: July 2024

Los gobiernos municipales, por su proximidad con la ciudadanía, son claves para el desarrollo de los postulados del gobierno abierto. El objetivo de este trabajo es realizar un estudio de los sistemas municipales de México y España, concretado parcialmente en las regiones del Estado de México y Cataluña, con la finalidad de conocer su situación actual y determinar los elementos que inciden en el avance de sus gobiernos abiertos.
El método utilizado es el análisis comparativo que permite identificar sus similitudes y diferencias y valorar sus ventajas y desventajas con relación a la apertura gubernamental. Los resultados muestran un mayor avance de los gobiernos abiertos municipales españoles respecto de los mexicanos, debido a las diferencias halladas en materia socioeconómica, en el régimen de recursos humanos, en la financiación y en la implantación del gobierno electrónico y, finalmente, se recomienda una serie de medidas para mejorar la gestión pública.
leyes de la interfaz
Authors: Martínez Vázquez Fernando
Published: July 2024

La presente reseña describe el contenido del libro Las leyes de la interfaz. Diseño, ecología, evolución, tecnología, escrito por Carlos A. Scolari. Se detallan algunos planteamientos teóricos y se exponen las ideas principales de algunos capítulos, junto con sus aportes. Se destacan los aspectos considerados de interés para el especialista en comunicación y en ciencias sociales.
ACCd and PGPRs: increasing plant productivity for more sustainable agricultural practices
Authors: Lemieux Milie
Published: July 2024

Our current world population is nearly 8 billion people, and it is expected to reach 10 billion by the year 2055 (Schultz, 2018). As the population continues to experience exponential growth patterns, we are faced with increasing concerns regarding food security. Indeed, as of 2020, millions of people are experiencing hunger or food insecurity, especially those in Africa, Latin America, the Caribbean, and Asia (FAO, 2021). A great deal of food insecurity is indirectly caused by climate change because product yield is not sufficient to reach increasing food demands (FAO, 2021). Climate change is causing warmer winters and unpredictable precipitation, resulting in poor growing conditions for crops (Wheaton & Kulshreshtha, 2017; Qian et al., 2011). In order to achieve high quality and quantity product yield, crops require rich soil conditions generated by sufficient periods of rainfall. This article discusses the effects of climate change on agriculture, with emphasis on aminocyclopropane-1-carboxylic acid deaminase (ACCd), an enzyme that plays an important role in increasing drought and salinity tolerance in plants.
Avaliação da qualidade das farmácias comunitárias: uma revisão de escopo
Authors: Laurentino Elias Matias , Passos Ana Cláudia de Brito , Ferreira Rochely Florenço de Castro , Monteiro Mirian Parente , Arrais Paulo Sérgio Dourado
Published: July 2024

Introduction: Assessing quality in healthcare environments favors decision making with the lowest possible risk and the identification of strengths and weaknesses, leading to the structuring of reliable services. Objective: To synthesize current knowledge and existing literature on assessing the quality of community pharmacies (CF). Methods: This is a scoping review (SR) aligned with the methodology proposed by the JBI Manual for Evidence Synthesis, carried out in four databases, covering the period from 2012 to 2022. Basic qualitative content analysis and descriptive statistics were used. Results: Of the 1,103 documents retrieved, 64 were selected. Quality assessment has been carried out, most of the time, from the patient’s perspective (54.7%), through quantitative studies (62.5%), cross-sectional (59.4%), and using questionnaires developed or adapted by the researchers themselves (51.6%). From the analysis, seven thematic categories and 36 subcategories were identified, highlighting, respectively, “pharmaceutical services” (81.25%) and “dispensing” processes (73.44%); “infrastructure and ambience” (70.3%) and “ambience and accessibility” (54.7%); “user experience and satisfaction” (67.2%) and “evaluation of community pharmacy services” (35.9%). It was observed that the categories of “people management”, “patient safety”, and “storage and disposal of medicines” were less evaluated and not all instruments used addressed all categories. Conclusions: This SR mapped scientific production regarding quality assessment in CF. This study shows the need to develop a standardized instrument encompassing the various evaluative aspects, which were listed based on the categories and subcategories identified in this review, in order to provide a complete overview of CF.
Comparative Study of Shatpuspa Tail Matra Basti with Dasmool Tail Matra Basti in Anartav W.S.R. to Vata Kaphaj Aartav Dusti (PCOS)
Authors: Singh Amitabh , Singh Shuchita , Garg Shivani
Published: July 2024

Women’s health is always being prime concern for medical fraternity since female not only serve for her family but also support society and nation. The current scenario witnessed rise in female health issues due to the stressful pattern of life style. Women of reproductive age mainly suffer with many gynecological problems and many of them experience hormonal imbalances which lead to menstrual irregularities. Currently many women are facing issues of polycystic ovarian syndrome (PCOS) globally which also affects physiology of normal menstruation. The incidences of PCOS are very high now a days due to the poor daily routines and sedentary lifestyles, etc. In Ayurveda menstrual abnormalities associated with PCOS can be correlated with Anartav caused by Vata Kaphaj Aartav Dusti. Ayurveda suggested many therapeutic options for such conditions including Basti therapy especially Matra Basti. Considering these facts present article reviewed role of Shatpuspa Tail Matra Basti and Dasmool Tail Matra Basti in Anartav W.S.R. to Vata Kaphaj Aartav Dusti (PCOS).
DEMANDAS E OFERTAS DA ATENÇÃO BÁSICA EM SAÚDE MENTAL INFANTOJUVENIL
Authors: Reis Luciana Bicalho , Iglesias Alexandra , Belotti Meyrielle , Pereira Camila Marchiori
Published: July 2024

The objective was to understand the demands and offers of Primary Care with regard to mental health care for children and adolescents, from the perspective of workers. This is a qualitative research, made with 41 primary care (BA) health workers in a municipality in the Southeast region. As an adopted methodology semi-structured interviews were used and two focus groups, in the latter, 20 workers participated among those who were interviewed. This was followed by a lexical analysis of the Descending Hierarchical Classification type with the help of the IRAMUTEQ software, resulting in five classes. Conceptions of childhood and adolescence appeared in the reports, still marked by ideas of incompleteness and a logic of specialized care.
Mixed-State Quantum Spin Liquids and Dynamical Anyon Condensations in Kitaev Lindbladians
Authors: Hwang Kyusung
Published: July 2024

Quantum spin liquids and anyons, used to be subjects of condensed matter physics, now are realized in various platforms of qubits, offering unprecedented opportunities to investigate fundamental physics of many-body quantum entangled states. Qubits are inevitably exposed to environment effects such as decoherence and dissipation, which are believed to be detrimental to many-body entanglement. Here, we argue that unlike the common belief decoherence and dissipation can give rise to novel topological phenomena in quantum spin liquids. We study open quantum systems of the Kitaev spin liquid and the toric code via the Lindblad master equation approach. By using exact solutions and numerical approaches, we show the dynamical occurrence of anyon condensation by decoherence and dissipation, which results in a topological transition from the initial state spin liquid to the steady state spin liquid. The mechanism of the anyon condensation transition by the Lindblad dynamics is elucidated. We also provide an insight into the relationship between the Kitaev spin liquid and the toric code in the picture of anyon condensation. Our work suggests open quantum systems to be a new venue for topological phenomena of quantum spin liquids and anyons.
Urgensi Guru Bimbingan Konseling Islam dalam Mengatasi Kleptomania
Authors: Maulana Ari , Uce Loeziana
Published: July 2024

Penelitian ini bertujuan untuk mengetahui apa saja urgensi Guru Bimbingan Konseling Islam dalam mengatasi kleptomania dan apa saja kendala Guru Bilbingan Konseling Islam dalam mengatasi kleptomania. Jenis Penelitian ini adalah studi kepustakaan dan menggunakan pendekatan kualitatif. Teknik pengumpulan data dalam penelitian ini adalah teknik pengumpulan data kepustakaan. Dengan cara mencari dan mengumpulkan jurnal-jurnal terkait urgensi Guru Bimbingan Konseling Islam dalam mengatasi kleptomania. Adapun hasil dari penelitian ini yaitu urgensi Guru Bimbingan Konseling Islam dalam mengatasi kleptomania antara lain: Guru BK Islam dapat memberikan bimbingan secara individu, dapat memberikan bimbingan secara kelompok, dapat memberikan peringatan kepada siswa, dan dapat memberikan hukuman yang sifatnya mendidik kepada siswa. Sedangkan kendala Guru BK Islam dalam mengatasi kleptomania antara lain: kurangnya kerja sama dari orang tua siswa, kurangnya sarana dan prasarana, dan kerja sama antar pihak kepala sekolah dengan Guru BK belum berjalan sepenuhnya.