bluuebunny/crossref_metadata_2025 huggingface dataset:
Decision making methodology based on generalized confidence and interpretability of artificial intelligence recommendation
Authors: Biloborodova Tetiana , Skarga-Bandurova Inna
Published: October 2023

The article examines the transition in medical diagnostics from traditional clinician-dependent methodologies to evidence-based approaches using artificial intelligence (AI). The primary objective of the research is to develop a decision-making methodology based on the integration of human decisions and AI-based recommendations, as well as the interpretability of AI results for humans. The proposed methodology involves the formation of decisions based on human intelligence (HI) and AI, the assessment of the utility of recommendations, and generation of a joint decision based on cumulative probability. The practical application of the methodology was demonstrated through an experiment involving the classification of non-medical images. The research findings underscore the importance of transparency, interpretability, and trust in AI results for the successful utilization of AI in healthcare. Figs.: 1. Refs.: 16 titles.
ChatGPT For Marketing Communications: Friend or Foe?
Authors: Arviani Heidy , Tutiasri Ririn Puspita , Fauzan Latif Ahmad , Kusuma Ade
Published: October 2023

The release of the ChatGPT chatbot in November 2022 received significant public attention. ChatGPT is an Artificial Intelligence (AI) powered chatbot that allows users to simulate human-like conversations with AI. GPT stands for Generative Pre-trained Transformer, a language processing model developed by the American artificial intelligence company OpenAI. These innovations and technologies are changing business interests, revolutionizing marketing communications strategies, and enhancing the consumer experience. ChatGPT is a powerful tool for marketers, but we need to understand the risks and place realistic expectations for the moment. The author uses data collection techniques using literature studies and observations on ChatGPT about their potential and impact on marketing communications. Authors analyze brand information, data search, reference services, cataloging, content creation, and ethical considerations such as privacy and bias. Result of this study, ChatGPT can provide and support creative content creation or copywriting, improve customer service, automate repetitive tasks, and support data analysis. However, humans are irreplaceable for examining outputs and creating marketing messages consistent with a company's strategy and brand vision. With good marketing strategies, ChatGPT can effectively enhance and support marketing processes.
Electronic Word of Mouth in Building Decisions To Invest in Mutual Funds Through Bibit.id
Authors: Ulfa Febi Alfia , Susanti Ari
Published: October 2023

Financial stability is the dream of every human being in facing life future, in the midst of rapid economic progress that makes people innovate, one of which is by investing. A person's lack of knowledge investing results negative things that can affect investment decisions. Bibit, which’s an investment platform that’s great demand by the people of Indonesia, has made researchers interested in examining the activities that occur in the dissemination of information about Bibit investments. Electronic word of mouth which’s commonly known as e-WOM is one of the newest innovations in the world of digital marketing, known for its broad and effective dissemination of information, making e-WOM one of the reasons for researchers to get to know more about e-WOM in disseminating information to the Bibit community. This research focused on how dimensions of e-WOM in building an interest investing in Bibit mutual funds for novice investors and what’s the role of e-WOM in building investment decisions for novice investors through AIDDA theory. The purpose of this study to determine the activity of e-WOM carried out by the Bibit community to attract novice investors to invest in the Bibit.id. This study uses a qualitative descriptive method by collecting interview data online as well as the determination of informants using a purposive sampling technique. The results of this study indicate that there’s a positive role in making investment decisions the Bibit.id by novice investors, due to the activity of e-WOM in the Bibit community dissemination of information that supports investment decisions.
Evaluation of CO2 and Slickwater Fracturing for the Burgos Basin of Mexico
Authors: Silva-Escalante C. F. , Camacho-Velazquez R. G. , Gómora-Figueroa A. P. , Sharma Mukul M.
Published: October 2023

This work aims to evaluate the fracture geometry and production scenarios comparing several fracturing fluids, such as slickwater and carbon-based fracturing fluids (CBFF), including two binary mixtures as approximations to anthropogenic CO2 resulting from carbon capture (oxyfuel, pre-combustion, and post-combustion). Reservoir flow modeling simulations show that CBFF is the best potential waterless fracturing fluid option for fracturing unconventional shale reservoirs in the Burgos Basin.

We conducted fracturing simulations to obtain the fracture geometry resulting from pure CO2, gelled CO2, foamed CO2, as well as the binary mixtures CO2 (95% mol)-N2 (5% mol), and CO2 (95% mol)-H2 (5% mol) and compared the results to conventional slickwater fracturing. Data and information for this study come from a gas well in the Burgos Basin in Mexico. A compositional fracturing simulation model is used to obtain the fracture geometry and the conditions under which the CO2 fracturing would be optimal based on a sensitivity analysis of the critical parameters described in this work. We created a reservoir simulation model to generate production scenarios and compare the well performance of wells fractured with pure CO2 and slickwater. The impact of water blockage effects on well productivity is shown to be important.

Results show that pure CO2, CO2-N2, and CO2-H2 create fracture geometries that are similar to slickwater fracturing. Pure CO2 provides the highest production due to the absence of water blockage effects. Other carbon-based fracturing fluids also represent an opportunity for implementing CO2 to optimize well performance reducing water blockage and water consumption for sustainably fracturing conventional and unconventional reservoirs.
A New Milestone in Open-Hole Gavel Pack (OHGP): World's First Managed Pressure Alternate Path OHGP with a Novel Oil-Based Gravel Pack Carrier Fluid
Authors: Gadiyar Bala , Randall Drake , Beldongar Maye , Tidwell Colton , Manzoleloua Cedric , Zhang Hui, Joyce , Derkach Ed , Campbell Patrick , Vo Loan , Anderson Tom , Oyler Ken , VanZanten Ryan
Published: October 2023

Open-hole gravel packing (OHGP) with or without alternate path technology is a common completion technique in wells requiring sand control. Prior to this paper, there has been no application of managed pressure alternate path OHGP and use of an oil-based gravel pack carrier fluid. In addition, the location was remote which made it even more challenging. This paper discusses laboratory evaluation of the carrier fluid, yard test qualification, fluid management plan/logistics, job design, and execution.

The fluid requirements in terms of density and temperature were 9.7 ppg and 115°F, respectively. The fluid had to pass the following tests a) rheology b) sand settling and c) Production Screen Tester to ensure the fluid does not plug the screens during the job.

Due to the location being remote with no mixing facilities, the fluid was mixed several months prior to the job in the US and shipped to location. A stringent fluid QA/QC plan was implemented to ensure fluid quality was maintained during transit and while in storage at location.

The job planning included simulations, several pre-job meetings, fluid management plan, modification to lower completion, etc. The job was executed flawlessly as per procedure outlined during pre-job meetings.

The fluid evaluation work took 6 months due to extensive testing requirements and all key criteria were met. There were no technical or operational issues with fluid mixing during the SIT and for the job. All pumping equipment plus fluid functioned as expected. Gravel pack carrier fluid management was critical to the job success hence the fluid was stored in marine portable tanks (MPT) to prevent any contamination. The fluid properties did not change from the time of mixing till the job execution which was over 4 months.

Surface back pressure technique was used to manage pressure while running in hole (RIH) the lower completion and during gravel pack operations. The lower completion was RIH to target depth without any problems. Gravel pack pumping operations was smoothly executed by pumping the job at designed pump rate and achieving a complete pack. Post gravel pack the well was flowed back and a successful well test was performed.

Industry first successful field case study of managed pressure alternate path OHGP using a novel oil-based gravel pack carrier fluid is presented.
Evaluating the Impact of Biochemical Reactions on H2 Storage in Depleted Gas Fields
Authors: Maniglio Marco , Rivolta Giacomo , Elgendy Ahmed , Panfili Paola , Cominelli Alberto
Published: October 2023

Underground Hydrogen Storage (UHS) is an emerging technology to store energy, produced by renewable sources, into subsurface porous formations. UHS efficiency in depleted gas reservoirs can be affected by H2 biochemical degradation due to interactions with rock, brine and gas. In the reservoir, subsurface microorganisms can metabolize H2 with possible hydrogen losses, H2S production, clogging and formation damage. In this work we investigate the impact of hydrogen losses due to microbial activities on UHS operations in depleted gas reservoirs lying in sandstone formations.

We developed a workflow to exploit the chemical reactive transport functionalities of a commercial reservoir simulator, to model biochemical processes occurring in UHS. Kinetic chemical reaction formulation was used to replicate a Monod's type microorganism growth, using PHREEQC to tune reaction parameters by matching a 0-D process in an ideal reactor. Then, we applied the methodology to evaluate the impact of biotic reactions on UHS operations in depleted gas fields. Eventually, various sensitivities were carried out considering injection/production cycles lengths, cushion gas volumes and microbial model parameters.

Benchmark against PHREEQC demonstrated that, by properly tuning the kinetic reaction model coefficients, we are capable of adequately reproduce Monod-like growth and competition of different microbial community species. Field-scale results showed that hydrogen losses due to biochemistry are limited, even though this may depend on the availability of reactants in the specific environment: in this work we focus on gas reservoirs where the molar fraction of the key nutrient, CO2, is small (< 2%) and the formation is a typical sandstone. Operational parameters, e.g. storage cycle length, have an impact on the biochemical dynamics and, then, on the hydrogen degradation and generation of undesired by-products. Similar considerations hold for the model microbial growth kinetic parameters: in this study they were established using available literature data for calibration, but we envisage to tune them using experimental results on specific reservoirs. The current model set-up does not account for rock-fluid geochemical interactions, which may result in mineral precipitation/dissolution affecting the concentration of substrates available for biotic reactions. Nonetheless, it can provide an estimate of hydrogen consumption during storage in depleted gas reservoirs due to microbial activities.

This study is among the first attempts to evaluate the impact of hydrogen losses by the presence of in situ microbial populations during hydrogen storage in a realistic depleted gas field. The assessment was performed by implementing a novel workflow to encapsulate biochemical reactions and bacterial dynamic-growth in commercial reservoir simulators, which may be applied to estimate the efficiency and associated risks of future UHS projects.
Solution Gas/Oil Ratio Prediction from Pressure/Volume/Temperature Data Using Machine Learning Algorithms
Authors: Majid Asia , Mwakipunda Grant Charles , Guo Chaohua
Published: October 2023

Many methods have been developed to determine the solution gas/oil ratio (Rs), starting with experiments, followed by empirical correlations establishments, and recently with machine learning applications receiving much interest due to their ability to produce precise results compared with empirical correlations. In this paper, the group method of data handling (GMDH) and the enhanced GMDH based on discrete differential evolution (GMDH-DDE) are used for the first time to estimate the Rs and to provide a correlation to the laboratory measured Rs from bubblepoint pressure (Pb), oil API gravity (API), gas-specific gravity (γg), and reservoir temperature (T) without crude oil properties. These two methods are compared with backpropagation neural networks (BPNN). The reason for using the hybrid GMDH (GMDH-DDE) is to overcome the drawbacks of the GMDH, such as the method used to calculate neuron weights (i.e., quadratic polynomial transfer function), which seems to have inaccuracies. Also, in selecting model inputs, the GMDH tends to choose the most appropriate inputs for the model; however, the selection criteria are not straightforward and may affect the final results. Furthermore, the GMDH has a multicollinearity problem, affecting model coefficient stability and overfitting problems, etc. A total of 420 data sets from the Mpyo oil field were used, with 70% used for training and 30% used for testing. According to the findings, the GMDH-DDE outperformed both the GMDH and BPNN. In comparison with the GMDH and BPNN, the GMDH-DDE has a higher correlation coefficient (R), lower root-mean-square error (RMSE), and lower mean absolute error (MAE). During training, R, RMSE, and MAE were 0.9849, 0.090, and 0.010, respectively, and during testing, R = 0.9603, RMSE = 0.290, and MAE = 0.017. The second-best technique (GMDH) produces R, RMSE, and MAE values of 0.9611, 0.122, and 0.032 in training, and R = 0.9438, RMSE = 0.349, and MAE = 0.055 in testing. Furthermore, the GMDH-DDE used less computational time (1.32 seconds) compared with the GMDH (2.01 seconds) and BPNN (4.96 seconds), proving that the GMDH-DDE has accurate and fast convergence compared with the GMDH and BPNN. These findings show that the GMDH-DDE and GMDH can be adopted as alternative methods for predicting the Rs.
Experimental Study on Dynamic Barite Sag and Effects of Inclination and Pipe Rotation
Authors: Fakoya Muili F. , Ahmed Ramadan
Published: October 2023

Barite sag causes pressure fluctuations in the wellbore, which is undesirable. These problems usually occur with oil-based muds (OBMs; invert emulsion muds) and are associated with fluid properties and operation parameters. Drilling issues related to this undesirable phenomenon include wellbore instability, lost circulation, and stuck pipes. As barite sagging is a complex phenomenon, the mechanisms that cause and aggravate it still need to be fully understood to mitigate these problems.

This study examines barite sagging in the wellbore with inner pipe rotation to understand the process and develop prevention strategies. Thus, a flow loop study with OBM is conducted in a concentric annular test section with varying inner pipe rotation and inclination angles. The tests were performed at an elevated temperature (49°C) to simulate borehole conditions. By measuring the pressure profile in a mud sample trapped in the test section, barite sagging was evaluated. Using the data, we calculated the density difference between the top and bottom sections of the column. The novelty of the work lies in continuous monitoring of the density profile of the mud column, which is sheared between two coaxial cylinders to simulate drillstring rotation in the wellbore, and utilizing the data for evaluating barite sag.

The results show the evolution of the pressure profile with time, indicating the sagging of barite particles at the bottom of the test section. Due to barite sagging, the density of the top portion of the mud column decreased over time, while the density of the bottom part increased. The lateral sedimentation of barite particles toward the annulus outer wall enhances barite sag in inclined configurations. The sedimentation creates two suspension layers with different densities, leading to secondary flow, which enhances sagging. Hence, the primary factor driving barite sagging is inclination. An increase in inclination angle from 0° to 50° resulted in a significant (more than twofold) increase in mud density difference. Also, the rotation of the pipe delayed sagging during the early phases of the testing process (less than 20 minutes). However, it did not have much effect as the sagging progressed, resulting in approximately the same density difference in both cases (i.e., with and without rotation).
How to Share Information with Third Parties while Protecting User Privacy on Internet Platform
Authors: tian li
Published: October 2023

Internet have radically transformed how people live their lives, especially in the COVID-19 pandemic. People rely on various Internet platforms in daily life, such as e-commerce platforms, social media platforms, etc. With the time going, Internet platforms have accumulated more and more personal information about their users or customers. In order to improve user experience and increase their profits, Internet platforms are willing to open their interfaces to third parties and share users’ information with them. Internet platform gains revenue by providing services for users, the users get utility by Internet platform. At the same times, the third parties enhance users experience by providing diversity services, and gain revenue and users' data. However, such kind of sharing may infringe users’ privacy and then erode users’ trust, especially for those users with higher privacy concerns. This paper tries to find out how Internet platforms can walk a fine line between sharing users’ information and protecting their privacy. Firstly, we analysis the cost-benefit of stakeholders. Then, we propose a pyramid model that captures the interaction between the users, Internet platform, and third parties. Specifically, we focus on the influence of user privacy sensitivity on information sharing behavior of Internet platform. We construct a three-stage dynamic game model with complete information to obtain the threshold value of third parties under the equilibrium state. The result shows that unrestrained sharing of user’ information with third parties will bring negative effects for Internet platforms and finally reduce their profits. The most advantageous way is to develop differentiated privacy policies for users with different privacy preferences. Those users with higher privacy concerns can pay some membership fee to enjoy the service provided by an Internet platform without the disturbance from various third parties.
SENSE-Cog Residential Care: Hearing and vision support for residents with dementia in long-term care in Ireland: Protocol for a pilot cluster randomised controlled trial
Authors: Connelly JP , Boland Erin , Buckley Brenda , Curley Niall , Refaie Amr El , Galvin Miriam , Gibb Matthew , Graham Liz , Lennon Brendan , Valdes Alejandro Lopez , Mullally Anne-Michelle , Muller Nicole , Nolan-Palmer Janice , O'Nolan Gerald , O'Reilly Ciara , Rezk Valeria Raaft , Rochford-Brennan Helen , Tobin Katy , Tormey Helen , Trepel Dominic , Leroi Iracema
Published: October 2023

Background
Hearing and vision loss is highly prevalent in residents with dementia (RwD) living in long-term care (LTC) facilities. Sensory loss often has a negative impact on quality of life and other dementia-related outcomes. Optimising sensory function may improve dementia-related outcomes in LTC facilities. The SENSE-Cog Residential Care pilot trial will evaluate whether a multi-faceted hearing and vision intervention for RwD and concurrent sensory loss is suitable for definitive testing in a large-scale cluster randomised control trial (RCT) in Ireland, and how this can best be achieved.
Methods
This is a six-month feasibility-pilot observer-blind, multicentre, cluster RCT. Between eight and 15 LTC facilities (with an average of 5 RwD recruited per home) will be randomly assigned to receive either "care as usual" (CAU) or a multi-component sensory intervention comprising: (1) personalised resident hearing and vision support; (2) staff training in sensory health; (3) fostering a 'sensory 'friendly' environment; and (4) optimising care pathways to hearing/vision care providers. The intervention's feasibility, acceptability, and tolerability for residents and staff will be examined. In addition, a battery of exploratory outcome measures will be evaluated for suitability for the definitive trial and to inform the choice of primary and secondary outcome measures.
Discussion
If the SENSE-Cog Residential Care pilot trial demonstrates that the sensory support intervention for residential care is feasible and tolerated in LTC facilities in Ireland, we will conduct a larger definitive trial to evaluate its effectiveness in improving dementia-related outcomes. Training materials, resources, and information will be made available to health and social care providers to enable the implementation of sensory support for RwD in routine LTC, potentially improving the quality of such care in Ireland.
Trial registration
ISRCTN, ISRCTN14462472. Registered 24 February 2022, https://doi.org/10.1186/ISRCTN14462472
Hydraulic flow unit and rock types of the Asmari Formation in the Mansouri oilfield, an application of the Flow zone index and Fuzzy C-means clustering methods
Authors: Eftekhari Seyedeh Hajar , Memariani Mahmoud , Maleki Zahra , Aleali Mohsen , Kianoush Pooria
Published: October 2023

Rock types are the reservoir's most essential properties for special facies modeling in a defined range of porosity and permeability. This study used the fuzzy c-means clustering technique to identify rock types in 280 core samples from one of the wells drilled in the Asmari reservoir in the Mansouri field, SW Iran. Four hydraulic flow units were determined for studied data after classifying the flow zone index with histogram analysis, normal probability analysis, and the sum of square error methods. Then two methods of flow zone index and fuzzy c-means clustering were used to determine the rock types in given wells according to the results obtained from the implementation of these two methods in-depth, and continuity index acts, the fuzzy c-means methods with continuity number 3.12 compared to flow zone index with continuity number 2.77 shows more continuity in depth. The relationship between permeability and porosity improved utilizing hydraulic flow unit techniques considerably. This improvement is achieved using the flow zone index method study. So that in the general case, all samples increased from 0.55 to 0.81 in the first hydraulic flow unit and finally 0.94 in the fourth hydraulic flow unit. The samples were characterized by similar flow properties in a hydraulic flow unit. In comparison, the obtained correlation coefficients in the fuzzy c-mean method are less than the general case in all hydraulic flow units. This study aims to determine the flowing fluid in the porous medium of the Asmari reservoir employing the c-mean fuzzy logic. Also, by determining the facies of the rock units, especially the siliceous-clastic facies and log data in the Asmari Formation, the third and fourth flow units have the best flow units with high reservoir quality and permeability. Results can compared to the flow unit determination in other nearby wellbores without cores.
Developing a competency assessment framework for pharmacists in primary health care settings in India
Authors: Kumar Sanjeev , Bhoi Purnima , Gharat Manjiri Sandeep , Mohanta Guru Prasad
Published: October 2023

Background
Pharmacists play a significant role in primary health Care. The competence assessment of pharmacists is a critical driver for enhancing primary healthcare performance. While several countries have developed competency frameworks for pharmacists in primary care, such frameworks are lacking in the Indian context.
Methods
This study aimed to develop a competency assessment framework for in-service pharmacists in Indian public primary healthcare settings. A five-stage consultative process was followed. In the first stage, a systematic literature review was conducted to identify pharmacist competencies in the primary healthcare setting. Expert consultations were then organized to build consensus on competencies and behaviours. Competency assessment tools were developed based on the literature and experts' agreements. Another round of expert consultation was conducted to achieve consensus on the competency assessment tools. Finally, the tools were tested in a public primary healthcare facility.
Results
The systematic literature review identified 20 competencies and 175 associated behaviors distributed across four domains: Pharmaceutical Health, Pharmaceutical Care, Organization and Management, and Professional/Personal. Expert consultations resulted in the consensus on 11 roles of pharmacists in primary healthcare settings. Competencies and associated behaviors were discussed and agreed upon for each role.
Conclusions
This study successfully developed a competency assessment framework for in-service pharmacists in Indian public primary healthcare settings. The framework encompasses 20 competencies and associated behaviors, covering various domains and roles of pharmacists. It provides a comprehensive tool for assessing pharmacist competencies and identifying competency gaps. The framework can be used to capacitate pharmacists, improve the performance of pharmacists in primary healthcare settings, and enhance the delivery of healthcare services in India. It fills a critical gap in the existing literature and can serve as a valuable resource for policymakers, educators, and healthcare professionals involved in pharmacy practice in primary care settings.
Challenges in the Diagnosis of Infantile Enterocolitis and RareAuto-inflammatory Syndromes: A Case Report and Literature Review
Authors: Khalesi Maryam , Jafari Seyed Ali , Kianifar Hamidreza , Malek Abdolreza , Vahedi Mahdieh
Published: October 2023

Introduction: Auto-inflammatory syndromes are characterized by systemic inflammation and a broad spectrum of clinical manifestations. The Gastrointestinal mucosa has a critical role in the immune system. Autosomal dominant mutations in the NLRC4 gene have been associated with systemic auto-inflammation and early-onset infantile enterocolitis. The main aim of our study is to highlight the importance of monogenic auto-inflammatory syndromes in early-onset enterocolitis. We provided a literature review of NLRC4-inflammasome-mediated auto-inflammatory disease.
Case presentation: This case report described a 3-year-old female child with very early-onset enterocolitis and a missense mutation in exon 4 of the NLRC4 gene. Colonic mucosal biopsy showed colitis. Whole exome sequencing revealed a missense mutation in exon 4 of the NLRC4 gene.
Conclusions: Most auto-inflammatory disorders are rare and Patients have always experienced a diagnostic and treatment delay. Intestinal inflammation is one of the clinical presentations of auto-inflammatory syndromes. Auto-inflammatory diseases have a broad spectrum of clinical characteristics, and the gastrointestinal tract is frequently involved. Monogenic auto-inflammatory diseases such as NLRC4 gene mutations should be considered a rare cause of chronic intestinal inflammation and early-onset enterocolitis.
Consumer attitudes towards purchasing refurbished smartphones in developed and developing countries: social media analytics
Authors: mounesan milad
Published: October 2023

In recent years, the amount of electronic waste has dramatically increased due to the short end-of-life (EOL) products, rapid expansion, and variety of electronic products; therefore, refurbishing these products is one of the practical and sustainable solutions to this issue. Customer reviews play a crucial role in determining purchasing behaviors and attitudes. To this end, a customer satisfaction model of online refurbished smartphone reviews was presented to investigate customer satisfaction dimensions (CSDs) toward refurbished smartphones by opinion mining and analyzing the data of customer reviews on Twitter from consumers of refurbished smartphones in developed and developing countries. For this purpose, we separated the refurbished reviews into two distinct categories: (i) direct evaluations of refurbished features by utilizing machine learning to identify features and determine how individuals feel about them, and (ii) indirect evaluations based on product remanufacturers' claims that refurbished and new products are comparable. The findings indicate that buyers of refurbished smartphones are most concerned with the product's features, such as its functionality, price, and guarantee conditions. In addition, we observed that while consumers in developed countries pay special attention to the environment, consumers in developing countries are more concerned with guarantees and pricing. These findings suggest economic factors as the main reason for smartphone purchases in developing countries for refurbished products. In contrast, due to greater economic prosperity in developed countries, environmental considerations were determined as the main reason for purchasing refurbished smartphones.
Predictive Machine Learning Model for Early Detection of Type 2 Diabetes Using Patients’ Clinical Symptoms, Demographic Features, and Knowledge of Diabetes
Authors: Ojurongbe Taiwo Adetola , Afolabi Habeeb Abiodun , Oyekale Adesola , Bashiru Kehinde Adekunle , Ayelagbe Olubunmi , Ojurongbe Olusola , Abbasi Saddam Akber , Adegoke Nurudeen A.
Published: October 2023

Background: Type 2 diabetes is commonly diagnosed at a later stage due to low attendance to health examinations, especially among certain demographic groups with financial constraints, differences in self-care routines, and medical habits. Given these circumstances, the need to develop reliable predictive tools for type 2 diabetes is becoming increasingly pressing.
Methods: To address this, we routinely collected health checkup data from patients with diabetes and used their clinical symptoms, demographics, and diabetes knowledge to predict the disease onset. Data from 444 Nigerian patients were used to develop a predictive model, with 80% of the dataset selected for training and the remaining 20% for testing.
Results: Using multivariable penalised logistic regression, we predicted type 2 diabetes with an AUC of 99% (95% confidence interval [CI] = 97% - 100%) for the training set and 94% (95% CI = 89% - 99%) for the test set, incorporating waist-hip ratio (WHR), triglycerides (TG), catalase, and atherogenic indices of plasma (AIP) as informative features. A significant increase in the adjusted odds ratios (AOR) of type 2 diabetes was observed with WHR (AOR = 70.35; 95% CI = 10.04 - 493.1, p-value < 0.0001) and AIP (AOR = 4.55; 95% CI = 1.48 - 13.95, p-value = 0.0081). Meanwhile, TG had an increased adjusted odds ratio of 1.04 for type 2 diabetes (95% CI = 0.4 - 2.71), although this association was not statistically significant (p-value = 0.9377). Conversely, catalase exhibited a decreased adjusted odds ratio for type 2 diabetes (AOR = 0.33; 95% CI = 0.22 - 0.49, p-value < 0.0001).
Conclusion: Our study revealed associations between clinical symptoms and type 2 diabetes, emphasising the crucial role of early diagnosis. A web application is provided to aid the early identification of at-risk individuals, reduce health complications, and address inconsistent checkup gaps.
Monogenic Systemic Lupus Erythematosus onset in a 13-year-old boy with Noonan like-syndrome: a case report and literature review
Authors: Moran-Alvarez Patricia , Gianviti Alessandra , Diomedi-Camassei Francesca , Ginevrino Monia , de Benedetti Fabrizio , Bracaglia Claudia
Published: October 2023

Background: Childhood systemic lupus erythematosus (cSLE) has been considered as a polygenic autoimmune disease; however, a monogenic lupus-like phenotype is emerging with the recent recognition of several related novel high-penetrance genetic variants. RASopathies, a group of disorders caused by mutations in the RAS/MAPK pathway, have been recently described as a cause of monogenic lupus.
Case presentation: we present a 13-year-old boy with Noonan-like syndrome with loose anagen hair who developed a monogenic lupus. The renal biopsy confirmed a class III lupus nephritis and identified the presence of zebra bodies.
Conclusions: RASopathies represent a cause of monogenic lupus. We report a new case of monogenic lupus in a child with Noonan-like syndrome with loose anagen hair. Lupus nephritis which has never been described in this context, may be part of the presentation. The presence of zebra bodies in SLE or RASopathies in unclear, but no other known conditions (Fabry disease or drugs) were identified as the cause of zebra bodies in our patient.
NCAPH Drives Breast Cancer Progression and Identifies a Gene Signature that Predicts Luminal A Tumor Recurrence
Authors: Mendiburu-Eliçabe Marina , García-Sancha Natalia , Corchado-Cobos Roberto , Martínez-López Angélica , Chang Hang , Mao Jian Hua , Blanco-Gómez Adrián , García-Casas Ana , Castellanos-Martín Andrés , Salvador Nélida , Jiménez-Navas Alejandro , Pérez-Baena Manuel Jesús , Sánchez-Martín Manuel Adolfo , Abad-Hernández María Del Mar , Carmen Sofía Del , Claros-Ampuero Juncal , Cruz-Hernández Juan Jesús , Rodríguez-Sánchez César Augusto , García-Cenador María Begoña , García-Criado Francisco Javier , Vicente Rodrigo Santamaría , Castillo-Lluva Sonia , Pérez-Losada Jesús
Published: October 2023

Despite their generally favorable prognosis, luminal A tumors paradoxically pose the highest ten-year recurrence risk among breast cancers. From those that relapse, a quarter of them do it within five years after diagnosis. Identifying such patients is crucial, as long-term relapsers could benefit from extended hormone therapy, whereas early relapsers may require aggressive treatment. In this study, we demonstrate that NCAPH plays a role in the pathogenesis of luminal A breast cancer, contributing to its adverse progression in vitro and in vivo. Furthermore, we reveal that a signature of intratumoral gene expression, associated with elevated levels of NCAPH, serves as a potential marker to identify patients facing unfavorable progression of luminal A breast cancer. Indeed, transgenic mice overexpressing NCAPH generated breast tumors with long latency, and in MMTV-NCAPH/ErbB2+ double-transgenic mice, the luminal tumors formed were more aggressive. In addition, high intratumoral levels of Ncaphwere associated with worse breast cancer evolution and poor response to chemotherapy in a cohort of genetically heterogeneous transgenic mice generated by backcrossing. In this cohort of mice, we identified a series of transcripts associated with elevated intratumoral levels of NCAPH, which were linked to adverse progression of breast cancer in both mice and humans. Utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) multivariate regression analysis on this series of transcripts, we derived a ten-gene risk score. This score is defined by a gene signature (termed Gene Signature for Luminal A 10 or GSLA10) that correlates with unfavorable progression of luminal A breast cancer. The GSLA10 signature surpassed the Oncotype DX signature in discerning tumors with unfavorable outcomes (previously categorized as Luminal A by PAM50) across three independent human cohorts. This GSLA10 signature aids in identifying patients with Luminal A tumors displaying adverse prognosis, who could potentially benefit from personalized treatment strategies.
Otoscopy-Assisted Intranasal Cyst Marsupialization for Congenital Dacryocystocele
Authors: MD  , MD  , MD  , MD  , MD  , MD
Published: October 2023

Purpose
We report a novel, simple intranasal cyst marsupialization (ICM) technique for congenital dacryocystocele (CDC).
Design:
Prospective observational study
Methods
Twenty consecutive infants with 25 CDCs treated at our facility from 2011 to July 2023 were enrolled. Five infants with five CDCs required surgical interventions due to resistance to conservative treatment. Among these five infants, we evaluated the surgical method and the outcomes in three infants with three CDCs who underwent otoscopy-assisted ICM.
Results
Of the total 25 CDCs, 20 (80%) spontaneously resolved with conservative treatment. Surgical intervention was conducted on five consecutive infants with five CDCs. The mean age at surgery was 100.8 (standard deviation [SD] = 77.6) postnatal days. The surgical procedures involved one of the following methods: (1) Probing by an ophthalmologist (2 CDCs); (2) Otoscopy-guided ICM performed by an otolaryngologist in the manner of otoscopic myringotomy (3 CDCs). All infants were treated successfully by a single surgical procedure under topical anesthesia in an office setting.
Conclusion
CDC was successfully treated by ICM in the manner of an otoscopic myringotomy. Treatment of CDC using an otoscope and myringotome is a minimally invasive surgical procedure that can be performed in an office setting without the need for general anesthesia or advanced medical equipment such as a nasal endoscope. Moreover, the risk of false passage formation and/or recurrence after probing can be avoided. Therefore, we propose this procedure as one of the practical ICM techniques for CDC.
Evaluation of Atmospheric Environmental Efficiency and Spatiotemporal Differences in the Yangtze River Delta Region of China
Authors: Yang Chuanming , Shen Jie , Jiang Zhonghua , Chen Junyu , Xie Yi
Published: October 2023

The scientific measurement of regional atmospheric environmental efficiency is an important prerequisite for achieving energy conservation, haze reduction, and regional green and high-quality development. Taking the urban agglomeration of the Yangtze River Delta region from 2012 to 2021 as the research object, the three-stage DEA model and Malmquist index are used to measure atmospheric environmental efficiency from static and dynamic perspectives and analyze spatial and temporal differences. The study found that there is still room for improvement in the atmospheric environmental efficiency of the Yangtze River Delta urban agglomeration, and pure technical efficiency is the main factor leading to overall low efficiency. Different environmental variables have different impacts on atmospheric environmental efficiency, with industrial structure having the most significant effect. Total factor productivity of the atmosphere showed a gradual increase over the study period, with technological progress playing the most important role in contributing. Observing the three types of efficiency values for each city using the mean efficiency as a critical point, except for Shanghai, each province has two or more low efficiency problems. Based on these findings, policy recommendations are proposed to further improve the level of atmospheric environmental governance in the Yangtze River Delta region.
Biological efficacy of simulated radiolabeled Lipiodol® ultra-fluid and microspheres for various beta emitters: study based on VX2 tumors
Authors: Dieudonné Arnaud , Becker Stéphanie , Soares Miguel , Hollenbeck Claire , De Goltstein Marie-Christine , Vera Pierre , Santus Robin
Published: October 2023

Background
Radioembolization is one therapeutic option for the treatment of locally early-stage hepatocellular carcinoma. The aim of this study was to evaluate the distribution of Lipiodol® ultra-fluid and microspheres and to simulate their effectiveness with different beta emitters (90Y, 188Re, 32P, 166Ho, 131I, and 177Lu) on VX2 tumors implanted in the liver of 30 New Zealand rabbits.
Results
Twenty-three out of 30 rabbits had exploitable data: 14 in the group that received Lipiodol® ultra-fluid (group L), 6 in the group that received microspheres (group M), and 3 in the control group (group C). The histologic analysis showed that the Lipiodol® ultra-fluid distributes homogeneously in the tumor up to 12 days after injection. The X-ray mCT images showed that Lipiodol® ultra-fluid has a more distal penetration in the tumor than microspheres. The entropy (disorder of the system) in the L group was significantly higher than in the M group (4.06 vs 2.67, p=0.01). Equivalent uniform biological effective doses (EUBED) for a tumor-absorbed dose of 100 Gy were greater in the L group but without statistical significance except for 177Lu (p=0.03). The radionuclides ranking by EUBED (from high to low) was 90Y, 188Re, 32P, 166Ho, 131I, and 177Lu.
Conclusions
This study showed a higher ability of Lipiodol® ultra-fluid to penetrate the tumor that translated into a higher EUBED. This study confirms 90Y as a good candidate for radioembolization, although 32P, 166Ho, and 188Re can achieve similar results.
Competition of cortical clusters during on-demand visual learning in immersive virtual reality
Authors: Rozsa Balazs , Judák Linda , Dobos Gergely , Ócsai Katalin , Takács István , Báthory Eszter , Chiovini Balázs , Szadai Zoltán , Maák Pál , Szepesi Áron , Roska Botond , Szalay Gergely
Published: October 2023

Neural circuits support rapid visual learning. However, due to technical roadblocks, it is not known how visual circuits represent multiple features or how behaviorally relevant representations are selected for long-term memory. Here we developed Moculus, a head-mounted virtual reality platform for mice that covers the entire visual field, and allows binocular depth perception and full immersion. This controllable environment, combined with fast acousto-optical imaging, affords rapid visual learning and the uncovering of novel circuit substrates: both the control and reinforcement-associated visual cue coding neuronal assemblies are extended transiently to a near-saturating level. They formed partially orthogonal and overlapping clusters centered around hub cells with higher and earlier ramp-like responses, as well as locally increased connectivity. This temporally maximizes computational capability and allows competition between assemblies that encode behaviorally relevant information by stochastic fluctuation from trial-to-trial. The coding competition is driven by reinforcement feedback at the level of individual neurons.
Program Evaluation Activities in Competence by Design: A Survey of Specialty/Subspecialty Program Directors
Authors: Milosek Jenna , Eady Kaylee , Moreau Katherine A.
Published: October 2023

Background The evaluation of Competence by Design (CBD) residency programs is essential for improving program effectiveness. There is limited literature on the evaluation of CBD programs. We investigated the extent to which program evaluation activities are occurring in CBD residency programs in Canada and the reasons why these programs are engaging or not engaging in them. Methods We surveyed program directors whose programs transitioned to CBD. We calculated descriptive statistics for the 22 closed-ended survey items. Results We obtained 149 responses (response rate 33.5%). Of the 149 respondents, 127 (85.2%) indicated that their programs do engage in evaluation while 22 (14.8%) indicated that their programs do not. Of the 127 whose programs do engage in evaluation, 29 (22.8%) reported that their programs frequently or always develop evaluation questions and 23 (18.1%) noted that their programs design evaluation proposals/plans. Reasons for engaging in evaluation included: to make decisions about the program, and to stimulate changes in educational practices. Reasons for not engaging in evaluation comprised: no knowledge on how to do it, no personnel to do evaluation, and no funding to do it. Conclusions While most CBD programs are doing program evaluation the quality of it is questionable.
NMN supplementation promotes liver growth-The result of the regulated transcription and metabolism
Authors: Su Mengzhu , Wang Jingtai , Yuan Yang , Wang Chuanzhi , Shao Yingchun , Sun Wenshe , Hao Minglu , Xiu Haoren , Zhou Sha , Sun Li , Xu Jiazhen , Zhang Shuangshuang , Xing Dongming
Published: October 2023

Immunodeficient individuals are not only prone to infections, endangering the health, but also encounter restricted growth and development. In the present study, we confirmed the role of NMN and found the preferred supplementation dosage in promoting liver growth of immunodeficient mice in vivio, and explored the underlying mechanism. Fifty 8-week-old inbred BALB/c immunodeficient mice were randomly divided into placebo Control group (C), Low-dosage NMN supplementation group (N50), Medium-dosage NMN supplementation group (N100), High-dosage supplementation NMN group (N200) and NMN + 78c supplementation group (N100 + 78c), with 10 mice in each group. In the low, medium and high NMN supplementation groups, mice were supplemented with 50 mg/kg/d, 100 mg/kg/d and 200 mg/kg/d NMN by gavage respectively for 21 days. During the period of supplementation with 100 mg/kg/d, 78c was supplemented to the mice by intraperitoneal injection on the first, eighth and 15th day of the 21 days. On the next day after supplementation treatment, the mice were anesthetized and the livers were excised and weighted. The expression of GHR, IGF-1, SIRT1, YAP1, p-YAP1, JAK1 and STAT3 was detected by Western Blot, the co-localisation level of SIRT1-JAK1, SIRT1-STAT3, JAK1-STAT3, YAP1-JAK1 and YAP1-STAT3 were detected by the immunofluorescence double labeling technique. Untargeted metabolomics was detected for analysing the effects of NMN on liver metabolism. It was found that the weight of the liver of mice in N100 group increased compared with C group, and the expression of SIRT1, JAK1, STAT3, YAP1, GHR and IGF-1 was increased. The co-localisation level of SIRT1-JAK1, JAK1-STAT3, YAP1-JAK1 and YAP1-STAT3 was increased after the supplementation of 100 mg/kg/d NMN. These changes were not significant in N50 and N200 groups. Upon the injection of 78c, the effect of NMN on transcription was inhibited, suggesting that the effect was CD38 dependent. We also found that, the improved amino acid metabolism after NMN supplementation was supposed to be one of the important mechanisms underlying liver growth.