bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Computational Model for Storing and Embedding Data in Dynamically Evolving Network Synaptic Structures
Authors: George Vivek Kurien , Morar Vikash , Silva Gabriel A. 
Published: November 2023

Abstract
Spike-timing dependent plasticity (STDP) is widely accepted as a mechanism through which the brain can learn information. Basing synaptic changes on the timing between spikes enhances contributing edges within a network. While STDP rules control the evolution of networks, most research focuses on spiking rates or specific activation paths when evaluating learned information. While imaging studies demonstrate physical changes to synapses due to STDP, these changes have not been interrogated based on their embedding capacity of a stimulus .Here, we show that networks with biological features can embed stimulus information into their synaptic weights. We use a k-nearest neighbor algorithm on the synaptic weights of independent networks to identify their stimulus with high accuracy based on local neighborhoods.While spike rates and timings remain useful, structural embeddings represent a new way to integrate information within a biological network. Our results demonstrate that there may be value in observing these changes directly.Beyond computational applications, this analysis may also inform investigation into neuroscience.Research is underway on the potential of astrocytes to integrate synapses in the brain and communicate that information elsewhere.In addition, observations of these synaptic embeddings may lead to novel therapies for memory disorders, such as transient epileptic amnesia.
Penile Prosthesis Implantation as First-Line Surgery in Peyronie’s Disease with or without ED
Authors: Krishnappa Pramod , Moncada Ignacio , Zaccaro Claudia , Fraile Augustin , Otero Javier Romero , Martinez-Salamanca Juan , Lledo-Garcia Enrique 
Published: November 2023

Abstract

Penile prosthesis (PP) in Peyronie’s disease (PD) is considered only when pharmacotherapy has failed in management of erectile dysfunction (ED). Patients with PD who underwent PP (malleable or inflatable) with or without additional maneuvers like manual modeling and grafting from 2012 to 2022 were included in the study. Patient and partner satisfaction were assessed using a 5-point Likert scale. ED was assessed using a validated questionnaire. A total of 168/636 patients underwent PP as first-line surgical management for PD and were included in the study. The mean age was 56.3 years +/- 12.4 and a median BMI of 27.2. Mean follow-up was 56 months (95% CI: 11-21). All 168 patients had undergone additional maneuvers such as manual modeling in 85.7% and grafting in 14.3%. Majority of the patients underwent a 3-piece inflatable PP (86.9%). Thirty-three (19.7%) PD patients without ED had undergone PP. The satisfaction of PD patients with ED and without ED was not statistically different (88.9% vs 87.9%). If surgery is offered in PD, PP may be considered as a first-line surgical treatment regardless of the ED in view of the acceptable complications and high satisfaction rates.
Numerical study of the dynamic behavior of a group of piles in sloping ground
Authors: Agarwal Ankor , Rawat Prit 
Published: November 2023

Abstract
In recent years, the use of piles in important structures such as power plant equipment, petrochemical complexes, marine structures, and bridges has significantly expanded. The safe and economical design of these types of piles under lateral dynamic loads is of special importance. Considering the complex interaction between the pile and the soil, along with the effects resulting from seismic forces, the need for the use of numerical methods to investigate and understand this issue is strongly felt. In this study, the behavior of a pile group in sloping ground under dynamic loads has been investigated using Abaqus software. The parameter under study is the slope angle, which, by varying it, the dynamic behavior of the pile group has been examined, and the results are reported in terms of shear force and bending moment along the piles. The results indicate that with an increase in the slope, the amount of shear force and bending moment created in the piles also increases. Additionally, with an increase in the slope angle, the forces generated in the piles exhibit an irregular trend.
Knowledge, Attitude, and Practice of Tuberculosis Among Healthcare Workers in Karachi, Pakistan: A Cross-Sectional study
Authors: Aamir Alifiya , Mehmood Aysal , Faizan Muhammad , Farooq Mir Umer , Diwan Mufaddal Namuddin , Fayyaz Hafsa , Fatima Ammara , Tariq Maria , Omar Arisha , Saeed Muzammil Munnawar , Riaz Aiman , Anjum Muhammad Umair , Siddiqui Maaz Ahmed , Siddiqui Ammarah 
Published: November 2023

Abstract
Background:
With over half a million new tuberculosis (TB) cases surfacing each year, Pakistan is among the 30 high TB burden countries. Being deeply underfunded in its fight against TB, much of the awareness among the general population comes from the healthcare workers (HCWs) who are at risk of acquiring nosocomial infection. Thus, this research aims to assess TB's knowledge, attitude, and practice (KAP) among HCWs in Karachi, Pakistan.
Methods:
An institution-based cross-sectional survey was conducted in nine hospitals providing TB services in Karachi, Pakistan, using an anonymous, self-administered questionnaire. Three hundred eighty-four responses from HCWs were assessed for their knowledge, attitudes, and practices on TB infection control.
Results:
The knowledge of TB infection control among almost half (45.8%) of HCWs was poor and much poorer among administration and lower-level staff. The knowledge level was significantly associated with educational status and TB training and orientation received. The majority (73.2%) of HCWs were positive about TB infection control. Sixty-five percent of HCWs were found to be concerned about being infected with TB. The use of respirators among the HCWs was limited, and triage of TB suspects was also lacking.
Conclusions:
The results revealed some knowledge gaps and poor practices among healthcare workers regarding TB. Therefore, health professionals must undergo periodic training customized to their needs.
Thyroid Storm in Pregnancy: A Rare Case Report
Authors: Khan Arshad 
Published: November 2023

Abstract
Thyroid storm during pregnancy is a rare but potentially life-threatening condition that poses significant challenges for both maternal and fetal health. We present a case report of a 29-year-old pregnant woman who experienced thyroid storm during the third trimester. The clinical presentation, diagnostic challenges, and management strategies are discussed. This case underscores the importance of vigilance in monitoring thyroid function during pregnancy and prompt intervention to optimize outcomes.
Continuous flow synthesis of meso-substituted porphyrins with inline UV-Vis analysis
Authors: Parveen Firdaus , Morris Henry J. , West Harvey , Slater Anna G. 
Published: November 2023

Abstract
Porphyrin derivatives have found diverse applications due to their attractive photophysical and catalytic properties, but remain challenging to synthesize, particularly at scale. Porphyrin synthesis thus stands to benefit from the more controlled environment, opportunities for efficient optimization, and potential for scale-up available in flow. Here, we have transferred Lindsey porphyrin synthesis into flow, enabling controlled timing for oxidation and neutralization steps and real time monitoring of the reaction mixture with inline UV-Vis analysis. For tetraphenyl porphyrin (TPP), inline UV-Vis showed the presence of protonated TPP, formed due to residual acid catalyst. Thus, inline monitoring allowed optimization of the neutralization step to improve yield. Three further porphyrin substrates were produced in flow; in two cases, the yield from inline UV was significantly higher than the yield from post-purification, identifying further yield losses that could be recovered by modifying the purification step. The workflow presented here can be adapted to multiple substrates to systematically optimise porphyrin yield, reducing the time needed to develop scalable routes to these valuable compounds.
Identifying predictors of patient safety competency based on sleep quality in students of school of nursing and midwifery: A multidisciplinary study
Authors: Jafari Mohammad Javad , Mostafazadeh Pouya , Magabi Mohammad Reza , Nemati-Vakilabad Reza , Mirzaei Alireza 
Published: November 2023

Abstract
Background: Patient Safety (PS) is a critical healthcare service issue. Sleep disorders not only cause health problems for nursing students but also lead to decreased performance and increased incidence of medication errors, which can endanger patient safety.
Objectives: This study aimed to investigate the predictors of Patient Safety Competency (PSC) based on the sleep quality of nursing students.
Methods: This descriptive-analytical cross-sectional study was conducted on 331 Ardabil School of Nursing and Midwifery students. The participants were selected by stratified random sampling. Data were collected using a demographic information form, the Pittsburgh Sleep Quality Index (PSQI), and the Health Professional Education in Patient Safety Survey (H-PEPSS). The collected data were analyzed using descriptive and inferential statistical methods.
Results: The nurses’ patient safety competency in the classroom and clinical settings was at an average level. Teamwork with other healthcare professionals scored the lowest. Also, sleep quality dimensions were predictors of PSC in nursing students.
Conclusion: Most nursing students typically have an average PSC, and there is a clear positive correlation between sleep quality and PSC. Therefore, it becomes imperative to identify the key factors that directly impact PSC. Armed with this knowledge, the managers of the Nursing and Midwifery School can proactively take measures to enhance both the classroom and clinical environments. Furthermore, organizing informative and engaging sleep quality workshops can significantly improve patient care quality.
Prediction of comprehensive dynamic performance for probability screen based on AR model-box dimension
Authors: Chen Qingtang , Huang Yijian 
Published: November 2023

In order to evaluate the comprehensive dynamic performance of probability screen and select the appropriate working conditions, a dynamic model of probability screen vibration system is established. Then, the calculation method of the dynamic characteristic parameters, based on the time series Auto Regression (AR) model of vibration test, is used. The relationship among the comprehensive dynamic characteristics, the screening efficiency and the box dimension of probability screen vibration system is analyzed, and Least Square Support Vector Machine (LSSVM), Generalized Regression Neural Network (GRNN) and Back Propagation Neural Network (BPNN) are used to predict the screening efficiency with box dimension. The analysis result shows that the screening efficiency, the stability, the response rapidity and the comprehensive dynamic characteristic of the system are all related to the box dimension of time series. As for the complexity of probability screen vibration system, it affects the comprehensive dynamic performance, and ultimately touches the screening efficiency of the probability screen; The best working conditions for the system are selected by the curve between box dimension and the working condition parameter; Taking box dimension as the only input variable, the prediction accuracy of the screening efficiency is high by using LSSVM,GRNN and BPNN methods, the prediction results are stable and reliable, and the box dimension can be used as a single input variable to predict the screening efficiency, it has the advantages of fewer input parameters, high prediction efficiency, and high prediction accuracy, which has great potential for expanding application space and further research value.
2021 UK floods: improvements and recommendations from the flood forecasting centre
Authors: Pilling Charles , Millard Jon , Perez Julia , Egan Katie , Turner Russell , Duke Anthony 
Published: November 2023

Abstract
In recognition of the increased risk to national resilience from flooding, we provide an overview of recent and future improvements to flood risk forecasting and communication at the Flood Forecasting Centre (FFC). We draw on the analysis of fluvial and surface water flooding across England and Wales in 2021 to highlight these areas of improvement. Already implemented improvements in both the underpinning science and our long lead-time product are described in the context of high-magnitude, high-impact floods. In addition, we consider more substantial developments from improved modelling of convection to translating this to surface water flood risk and to the essential communication and service provision. Finally, recognising that many of the challenges are shared internationally, we distil our key recommendations for future improvement. These improvements rely on collaboration for them to be successful.
A Complex Condition; Polycystic Ovary Syndrome (PCOS): A Review of
its Recent Advanced Treatment
Authors: Wal Pranay , Saxena Bhagawati , Aziz Namra , Pyne Chandana , Wal Ankita , Rathore Shruti 
Published: November 2023

Abstract:
Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder affecting women worldwide. It refers to a condition that often has ‘poly’ liquid containing sacks
around ovaries. It affects reproductive-aged females, giving rise to menstrual and related reproductive issues. PCOS is marked by hormonal imbalance, often resulting in hyperandrogenism. Women with PCOS might experience abnormal insulin activity and complications such as acne, mood
swings, hirsutism, obesity, and infertility. The disease is linked with severe clinical ailments such
as type 2 diabetes (T2DM), cardiovascular diseases (CVDs), and cancer. A faulty lifestyle, neuroendocrine factors, genetic causes, and androgen exposures often cause PCOS. The approach of
society towards physiological problems such as PCOS in women is that it must be under the veil
that is the ultimate barrier to the early diagnosis of PCOS. Thus, this review summarizes the causes, symptoms, pathophysiology, diagnosis, and possible treatment (medical, herbal, and lifestyle
improvement, acupuncture, and bariatric surgery) related to PCOS.
The Value of Radiological Imaging in Assessing Extrarenal Fat and Renal Vein
Invasion in Renal Cell Carcinoma
Authors: Ma Junchao , Yuan Enyu , Chen Yuntian , Yao Jin , Song Bin 
Published: November 2023

Abstract:
Renal cell carcinoma with extrarenal fat (perinephric or renal sinus fat) and renal vein invasion is the main evidence for the T3a stage according to
the American Joint Committee on Cancer tumor-node-metastasis (TNM) staging system. Extrarenal fat invasion of renal cell carcinoma is defined
as the presence of perinephric fat invasion or renal sinus fat invasion. Renal vein invasion is defined as the presence of main or segmental (branch)
renal vein invasion. Accurate assessment of extrarenal fat and renal vein invasion is crucial for urologists to adopt the optimal therapeutic schedule,
including radical nephrectomy or nephron-sparing treatments. Currently, imaging is still the most widely used means of examination for diagnosis
and staging of renal cell carcinoma, especially multidetector computed tomography (MDCT). Therefore, we have, herein, summarized the latest
progress and the future direction regarding imaging for assessing perinephric or renal sinus fat and renal vein invasion of renal cell carcinoma to
assist clinical treatment selection and patient risk stratification.
Preparación y caracterización superficial de electrodos de espinela de cobalto dopados con cobre, Cux Co3-x O4, 0≤x≤1.5
Authors: La Rosa Toro A. , Berenguer R. , Quijada C. , Montilla F. , Morallón E. , Vázquez L. 
Published: November 2023

Se han preparado películas de óxido de cobalto (Co3O4) y óxido del cobalto dopados con cobre de fórmula CuxCo3-xO4 soportados sobre titanio empleado el método de descomposición térmica. Los electrodos fueron caraterizados por Microscopía Electrónica de barrido (SEM), Voltametría cíclica (VC) y Espectroscopía Fotoelectrónica de Rayos X (XPS), determinando que los óxidos de esppinela Cu-Co tienen estructura monofásica cuando x d>>1.0, sin embargo, cuando el contenido de cobre excede la relación estequimétrica de la cobalita de cobre, CuCo2O4 se forma una nueva especie identificada como CuO el cual aparece segregado en la superficie. La distribución de los cationes de cobre en la espinela, indica que el Cu(II) se ubica preferencialmente en los sitios octaédricos de mayor actividad electroquímica.
Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study
Authors: Choi Jung-Yeon , Yoo Sooyoung , Song Wongeun , Kim Seok , Baek Hyunyoung , Lee Jun Suh , Yoon Yoo-Seok , Yoon Seonghae , Lee Hae-Young , Kim Kwang-il 
Published: November 2023

Background
Older adults are at an increased risk of postoperative morbidity. Numerous risk stratification tools exist, but effort and manpower are required.

Objective
This study aimed to develop a predictive model of postoperative adverse outcomes in older patients following general surgery with an open-source, patient-level prediction from the Observational Health Data Sciences and Informatics for internal and external validation.

Methods
We used the Observational Medical Outcomes Partnership common data model and machine learning algorithms. The primary outcome was a composite of 90-day postoperative all-cause mortality and emergency department visits. Secondary outcomes were postoperative delirium, prolonged postoperative stay (≥75th percentile), and prolonged hospital stay (≥21 days). An 80% versus 20% split of the data from the Seoul National University Bundang Hospital (SNUBH) and Seoul National University Hospital (SNUH) common data model was used for model training and testing versus external validation. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) with a 95% CI.

Results
Data from 27,197 (SNUBH) and 32,857 (SNUH) patients were analyzed. Compared to the random forest, Adaboost, and decision tree models, the least absolute shrinkage and selection operator logistic regression model showed good internal discriminative accuracy (internal AUC 0.723, 95% CI 0.701-0.744) and transportability (external AUC 0.703, 95% CI 0.692-0.714) for the primary outcome. The model also possessed good internal and external AUCs for postoperative delirium (internal AUC 0.754, 95% CI 0.713-0.794; external AUC 0.750, 95% CI 0.727-0.772), prolonged postoperative stay (internal AUC 0.813, 95% CI 0.800-0.825; external AUC 0.747, 95% CI 0.741-0.753), and prolonged hospital stay (internal AUC 0.770, 95% CI 0.749-0.792; external AUC 0.707, 95% CI 0.696-0.718). Compared with age or the Charlson comorbidity index, the model showed better prediction performance.

Conclusions
The derived model shall assist clinicians and patients in understanding the individualized risks and benefits of surgery.
Altruistic Justification: An Examination of PPE Fraud and Whistleblowing during the COVID-19 Pandemic
Authors: Lamboy-Ruiz Melvin A. , McKay Britton A. , Scheetz Andrea M. , Pearson Timothy A. 
Published: November 2023

ABSTRACT
Two 2 × 2 experiments are used to investigate both sides of a fraud event, the fraudster and the whistleblower, in which an individual with access to hospital personal protective equipment (PPE) offers to sell or give masks to a patient. The COVID-19 pandemic added incentives to health care providers and increased opportunities for asset misappropriations. We found the patient’s need for the PPE influenced the fraudster’s decision to misappropriate masks from the hospital to give them free of charge to the patient, but did not influence the decision to sell them to the patient or the patient’s decision to report the fraud. Altruism and risk taking, but not the employer’s financial instability, also influenced the likelihood of fraud. Moral courage and the mask offer (free or for a price) influenced the patient’s decision to report the fraud.
Barriers and Drivers to Adoption of Water Reuse In Buildings: A Sociotechnical Analysis in Ceará, Brazil
Authors: Rodrigues Joab Antonio Martins , Cândido Luis Felipe , Lima Sérgio Henrique de Oliveira , Alexandre Alan Michell Barros 
Published: November 2023

Purpose: This study aims to identify the barriers and drivers towards the adoption of water reuse systems in buildings in regions with water scarcity, such as the Brazilian Northeast.

Method: A qualitative study was carried out in the state of Ceará, Brazil. The study encompassed the analysis of content from seventeen in-depth interviews and documentary evidence.

Results and conclusion: The primary adoption drivers were found to be economic savings through consumption reduction and environmental awareness. Main barriers included the initial investment and payback time, as well as user practices, such as residents' lack of system maintenance. In addition, political and institutional aspects, such as the absence of fiscal incentives, also played a key role. In conclusion, water reuse in buildings constitutes an innovation that requires further development to promote significant adjustments of the socio-technical regime.

Originality/value: This research introduces innovation by conducting an analysis of the adoption of water reuse in buildings based on the multi-level perspective of socio-technical transitions towards sustainability. It focuses on a state in the Brazilian Northeast, whose territory is primarily situated in the Caatinga biome, characterized by a semi-arid climate and a history of severe drought cycles.

Research implications: The results provide valuable insights for researchers, technology developers, and policymakers to develop actions that stimulate the implementation and diffusion of water reuse in buildings.
BERPIKIR KRITIS SISWA BERKEPRIBADIAN SENSING, INTUITION, THINKING DAN FEELING DALAM MENYELESAIKAN MASALAH DENGAN INFORMASI KONTRADIKSI
Authors: Kurniati Dian , Umami Anggi Nabilla , Murtikusuma Randi Pratama , Setiawan Toto Bara , Jatmiko Dhanar Dwi Hary 
Published: November 2023

Critical thinking skill is necessary to be learned by every students, because by thinking critically students are able to understand other mathematical skills. One of the problems that can improve critical thinking skills is Problem With Contradiction Information (PWCI), which means problem that contains wrong information. Every student has their own characteristics, it also influences their critical thinking. One of the ways to identify a type of personality people is by using the Myers Briggs Type Indicator (MBTI), which classifies humans based on several perspectives, such as how to understanding and receiving information (Sennsing-Intuition), also how to make a conclusion and decision (Thinking-Feeling). The purpose of this study is to describe the critical thinking skills of students with sensing, intuition, thinking and feeling personalities. This research is a descriptive study with a qualitative approach. This research was based on SMAN Arjasa, and the subject was 8 students consisting of 2 students each with sensing, intuition, thinking and feeling personality. Data collection methods used are test and interview. The analysis technique used is the analysis of test results, interviews and triangulation. The results of this research revealed that students with sensing, intuition, thinking and feeling personality types have their own characteristics when solving the problem. The results of the critical thinking test found that there were no students who were able to fulfill critical thinking skills but there were students who were able to find contradictory information in the question