bluuebunny/crossref_metadata_2025_split huggingface dataset:
Helsmoortel-Van der Aa syndrome – psychophysical functioning of patient and therapeutic management (case report)
Authors: Kołecka Aleksandra Mariola , Kołecka Barbara 
Published: September 2023

Abstract
Introduction. Helsmoortel-Van der Aa syndrome (HVDAS) is a rare neurodevelopmental disorder caused by a mutation in the ADNP gene. Many previous studies concern the basis of the disease, but there is also a need to focus on the therapeutic aspect of people with HVDAS.
Case presentation. The aim of this article is a multi-faceted characteristic of the psychophysical functioning of a person with Helsmoortel-Van der Aa syndrome and indication of appropriate therapeutic interactions (the presentation of possible forms of patient support and selected therapeutic methods that are used in clinical practice in this disease entity). A case study of a 13-year-old female patient diagnosed with the HVDAS is presented. The case report was extended to include family history data and observation of the patient during cyclical therapeutic classes.
Conclusion. The performed characterization of the patient's psychophysical condition allows us to conclude that the clinical picture of the Helsmoortel-Van der Aa syndrome is very complex and diverse, as it affects various levels of a person's functioning. The therapeutic procedure should be multifaceted, taking into account both health needs and current physiological fitness, as well as the need for appropriate developmental stimulation. The developed therapeutic procedure extends the patient's functional abilities and increases the comfort of his everyday life.
Single-sided magnetic resonance-based sensor for point-of-care evaluation of muscle
Authors: Cima Michael , Sherman Sydney , Zammit Alexa , Heo Won-Seok , Rosen Matthew 
Published: September 2023

Abstract
Magnetic resonance (MR) imaging is a powerful clinical tool for the detection of soft tissue morphology and pathology, which often provides actionable diagnostic information to clinicians. Its clinical use is largely limited due to size, cost, time, and space constraints. Here, we discuss the design and performance of a low-field single-sided MR sensor intended for point-of-care (POC) evaluation of skeletal muscle in vivo. The 11kg sensor has a penetration depth of > 8 mm, which allows for an accurate analysis of muscle tissue and can avoid signal from more proximal layers, including subcutaneous adipose tissue. Low operational power and minimal shielding requirements are achieved through the design of a permanent magnet array and surface transceiver coil. We present the in vitro and human in vivo performance of the device for muscle tissue evaluation. The sensor can acquire high signal-to-noise (SNR > 150) measurements in minutes, making it practical as a POC tool for many quantitative diagnostic measurements, including T2 relaxometry.
Association of preoperative red blood cell width and postoperative 30-day mortality in patients undergoing non-cardiac surgery: a retrospective cohort study using propensity-score matching Running title: The association between RDW and postoperative 30-day mortality
Authors: Wei Wei , Feng Bishan , Hu Haofei , Chen Zimiao , Liu Xiaojie , Xiao Mengjing , Yang Hongming 
Published: September 2023

Abstract
Background: In terms of predicting surgery mortality, it is controversial whether red blood cell width works independently. In non-cardiac surgery patients older than 18 years, we intend to examine the relationship between red blood cell width and postoperative 30-day mortality.
Methods: In this retrospective cohort study, 90,785 Singapore General Hospital patients were matched by propensity score between January 1, 2012 and October 31, 2016. It was determined that red blood cell width at baseline and mortality within 30 days after surgery were the independent and dependent variables. We used a non-parametric multivariate logistic regression to balance the confounders among 7807 patients with high RDW and 7807 patients with non-high RDW in the propensity score matching. We investigated the association between RDW and 30-day mortality after surgery using the doubly robust estimation method.
Results: Cohorts matched according to propensity score, the risk of 30-day mortality after surgery increased by 114.6.0% among high RDW group(OR = 2.146, 95%CI: 1.645–2.799, P＜0.00001). In crude model, there was a significant correlation between RDW and 30-day mortality after surgery (OR = 1.877, 95% CI: 1.476–2.388, P＜0.00001). In the propensity-score adjusted model, the risk of 30-day mortality after surgery dropped to 86.7% among people with high RDW (OR = 1.867, 95%CI: 1.467–2.376,P＜0.00001).Compared to non-high RDW group, the risk of 30-day mortality after surgery increased by 117.0% and 127.7% among high RDW group in the original cohort(OR: 2.170, 95%CI: 1.754–2.683, P＜0.00001) and the weighted cohort(OR: 2.272, 95%CI: 2.009–2.580, P＜0.00001),respectively.
Conclusions: According to the results of this observational, propensity score-matched cohort study, there is a significant correlation between higher RDW and higher postoperative 30-day mortality, that is to say, patients over the age of 18 with high preoperative RDW who undergo non-cardiac surgery have a worse postoperative prognosis than those with normal RDW.
Zero-additional-energy-consumption Fabrication of a Self-supported Electrode ： Synergistic Redox-Corroding and Boronizing Engineering for Overall Water Splitting
Authors: Sun Guanglun , Wang Yuanzhe , Chen Feng , Gao Faming 
Published: September 2023

Abstract
The non-precious metal-based materials show excellent catalytic activity for overall water splitting. However, it is still a challenge to meet the requirements of fabricating catalysts with cost-effective, high-performance, and large-scale production. In this work, we report an energy-efficient, low-cost, scaled-up redox-corroding and boronizing engineering method for transforming inexpensive nickel foam into highly active, flexible and durable self-supported electrodes for overall water splitting. This synthetic method is carried out using a desirable redox-corroding and one-pot NaBH4 reduction reaction of nickel foam in aqueous solutions containing trivalent cations (Fe3+) under ambient temperature. This process results in well-distributed amorphous iron-nickel borides and hydroxides active materials that are grown in situ on the surface of porous nickel foam. The NiFeBx/NF//NiFe-OH /NF electrode pair shows low cell voltages of 1.63 V to achieve 10 mA cm− 2 in 1 M KOH. More importantly, the NiFeBx/NF//NiFe-OH /NF electrode exhibits ultrahigh catalytic activities at high current densities, outperforming the benchmark electrode pair of Pt-C/NF//RuO2/NF. This inexpensive and simple controllable strategy provides Ni foam-substrate-derived electrodes with excellent catalytic activities and open up a new avenues for the rapid and simple fabrication of highly efficient electrodes for overall water splitting with large scale applications.
Excessive dilution of oral antibiotic suspensions and oversized bottles: an exploratory survey based on pediatricians’ experiences in Kabul
Authors: Daanish Ahmad Farid , Mushkani Ershad Ahmad , Atiq Mohammad Asif 
Published: September 2023

Abstract
Medication errors in the reconstitution of oral suspensions, which include excessive dilution, may affect the treatment outcome despite the correct diagnosis and selection of appropriate treatment. Objective: To document the practice of parents/caregivers adding more than double the recommended volume of water to oversized bottles of oral Azithromycin or Cefixime suspensions. Method: An exploratory survey was conducted using self-administered anonymous questionnaires. It involved the participation of 32 pediatricians from different pediatrics departments at Maiwand Teaching Hospital, an inner-city hospital in Kabul. The survey aimed to gather pediatricians' experiences with parents/caregivers adding excessive water to Azithromycin or Cefixime oral suspensions, surpassing the recommended amount. Results: twenty-five participating pediatricians (78.1%) reported encountering at least one instance where more than double the recommended amount of water was added to Azithromycin or Cefixime suspensions. The majority of these cases (84%) were observed in the outpatient department. Eighteen participants (72%) thought the issue was rare or infrequent, while seven (28%) thought it was frequent. Conclusion: Bottles of oversized oral antibiotic suspensions had been filled up with water to nearly their full volumes, which reduced the concentration of active substances to half or less, and may threaten the treatment outcome. This problem is not confined to any particular country but can arise in any situation where non-healthcare professionals reconstitute pediatric oral suspensions using oversized bottles. Improved reconstitution education, separate diluent bottles for oral suspension, and the establishment of standards and ceilings relative to total dose volume for oral suspension bottles are recommended.
Effectiveness of Neuromuscular Electrical Stimulation and Proprioceptive Neuromuscular Facilitation in Combination With Facial Exercise in Patient With Bell’s Palsy: A Comparitive Study
Authors: Parveen Urusia , Maurya Neeraj , Khan Abdur Raheem , Khan Ashfaque , Aafreen Aafreen , Shohaim Shaikh , Ahamad Taufish 
Published: September 2023

Abstract
Background; Bell’s palsy is a type of facial paralysis that results in inability to control the facial muscles on the affected side. It is also known as idiopathic facial paralysis. Bell’s palsy is one of the most common neurological disorders of cranial nerves. Neuromuscular Electrical Stimulation (NMES) is an approach in which we use small current to activate nerve that affected muscle. It shows significant effect in muscle strengthening, in neuromuscular rehabilitation and improve functional movement of muscles.
Method; It was a pre and post experimental study that consisting 30 participants (male and female)15 in each group. Group A received NMES, facial exercises and Group B received PNF, facial exercise for 15 days with one session per day.
Results; The results suggest that both treatment approach had significant improvement but Group A had significant higher score at House Brackmann Scale than Group B. The p value (0.038) of t test performed at day 15 gives the evidence that the group A subjects shows better and faster recovery than the group B subjects.
Conclusion; In this study, both group A and group B showed significant results and displayed efficient improvement after 15 days of treatment. Neuromuscular electrical stimulation technique with facial muscle exercises is more effective in improving facial function and reducing facial disability.
Biomimetic Fe-bearing nanoparticles in hot spring: morphology, origin and potential bioavailable Fe
Authors: Chen Zhaoying , Liu Rui , Wang Guoqiang , Lu Bo , Cui Yuxiang , Zuo Lei , Zhang Peng , Wang Yaqing , Cao Cong 
Published: September 2023

Abstract

Iron is a critical redox-active element in geothermal water, and the presence of nanoparticulate Fe is essential in comprehending the intricate cycling of iron and related elements within the natural geothermal ecosystems. In this study, we investigated the mineral properties of Fe-bearing nanoparticles in a hot spring located in Shanxi Province. High-resolution transmission electron microscopy (HRTEM) is utilized for the examination of the morphology, chemical composition, and crystalline structure of Fe-bearing nanoparticles. The findings indicate that Fe-bearing nanoparticles can exist as single particles measuring 50–200 nm in size, as well as aggregate to form nanoparticle aggregations. The morphology of Fe-bearing nanoparticles mainly includes triangle, axiolitic, and irregular shapes. The selected area electron diffraction patterns reveal the crystal form, amorphous form, and the transition from amorphous to crystalline forms of these nanoparticles. Energy-dispersive X-ray spectroscopy (EDS) analysis indicates that these nanoparticles primarily consist of O and Fe in composition, along with various trace elements including N, Al, Si, Ca, Zn, Cr, Ni, and Mo. Combined with the mineral characteristics, we confirm that some iron-bearing nanoparticles belong to goethite and hematite. These mineral characteristics also indicate that these iron-bearing nanoparticles are formed through natural processes. The presence of biomimetic morphologies, such as cell-like or microorganism-like shapes, suggests that these nanoparticles may be produced through microbial activity. The biomimetic properties also imply that these nanoparticles may be readily available for biological processes. Our findings further validate that the shape of iron oxide nanoparticles can serve as an indicator of environmental conditions.
On Computational Models of Theory of Mind and the Imitative Reinforcement Learning in Spiking Neural Networks
Authors: Ganjtabesh Mohammad , Mohammadi Ashena G. 
Published: September 2023

Abstract
Theory of Mind is referred to the ability of inferring other's mental states, and it plays a crucial role in social cognition and learning. Biological evidences indicate that complex circuits are involved in this ability, including the mirror neuron system. The mirror neuron system influences imitation abilities and action understanding, leading to learn through observing others. To simulate this imitative learning behavior, a Theory-of-Mind-based Imitative Reinforcement Learning (ToM-based ImRL) framework is proposed. Employing the bio-inspired spiking neural networks and the mechanisms of the mirror neuron system, ToM-based ImRL is a bio-inspired computational model which enables an agent to effectively learn how to act in an interactive environment through observing an expert, inferring its goals, and imitating its behaviors. The aim of this paper is to review some computational attempts in modeling ToM and to explain the proposed ToM-based ImRL framework which is tested in the environment of River Raid game from Atari 2600 series.
Water quality parameters in source water: multivariate analysis of surface water and groundwater supply on data from 4 supply systems in Brazil
Authors: Dallmann Daiane Kath , Beltrame Rafael , Valentini Marlon Heitor Kunst , Mello Norton Peterson , Morselli Luiza Beatriz Gamboa Araújo , Romani Rubia Flores 
Published: September 2023

Abstract

In this research, multivariate statistical analysis was performed to assess the water quality of 4 important drinking water sources in the state of Rio Grande do Sul (RS), Brazil. For this, nineteen water quality parameters (WQP) were applied twice a year, for the period 2013-2018, to assess water quality from different sources. The evaluation was conducted on tree water surface (SWS) and one groundwater source (GWS), separately. Analysis of outliers, Shapiro-Wilk normality test, non-parametric Kruskal-Wallis test, Spearman correlation analysis, hierarchical cluster analysis and the Ward method were carried out to identify the quality of water from different sources. There were higher coefficients of variation for metals, color, turbidity, and total phosphorus. The multivariate analysis pointed out that variables with the highest correlation and grouping in the springs indicate the movement of soil particles into water bodies and their degradation, due to the lack of protection in the areas of these relevant sources of supply.
Using unmanned aerial vehicle (UAV) with machine vision systems (MVS) to assess fish weight of red tilapia in river cage culture
Authors: Taparhudee Wara , Jongjaraunsuk Roongparit , Nimitkul Sukkrit , Suwannasing Pimlapat , Mathurossuwan Wisit 
Published: September 2023

Abstract
Efficiently estimating fish weight poses a major challenge for effective fish feeding and harvesting.This study introduced a novel approach using an Unmanned Aerial Vehicle (UAV) and a Machine Vision System (MVS) to non-intrusively estimate the weight of red tilapia fish within a cultured environment (river-based cage culture). Our proposed method applied image acquisition via the UAV and subsequent image analysis using the MVS. Initially, Decision Tree (DT), Random Forest (RF), Naïve Bayes (NB), K-Nearest Neighbors (KNN), and Artificial Neural Network (ANN) models were trained for image classification across 9 fish classes in 5 cages. Subsequently, these models were tested on another set of 9 fish classes in 3 different cages. The results demonstrated that ANN achieved the highest prediction efficiency during training and validation, having mean (± standard deviation) scores for accuracy, precision, recall, and F1 of 90.39±8.33, 90.13±10.61, 90.05±9.14, and 90.13±9.05 %, respectively. However, during testing, the accuracy was 42 %. Therefore, future implementations are recommended to expand the dataset and to optimize ANN parameters (including K-fold, training cycle, hidden layers, and neurons) to enhance the efficiency of the ANN model. Where a substantial accuracy improvement cannot be achieved, we suggest considering the utilization of Convolutional Neural Network models and image data generator with transfer learning techniques.
De-identification of Clinical Document Images using Deep Learning and Data-Driven Methods
Authors: Sri Ravichandra , S Siva Sathya , S LourduMarie Sophie 
Published: September 2023

Abstract
Clinical Documents include clinical narratives, images, tables, charts, etc., that have substantial value to researchers in the medical domain. Nevertheless, this information is intermingled with Protected Health Information (PHI), posing confidentiality risks. This work offers an end-to-end de-identification framework for autonomously removing PHI from Scanned Clinical Document Images like discharge summaries, radiology reports, laboratory reports, etc. A synthetic dataset was created for experimental purposes containing 550 clinical document images collected from various patients of different hospitals. The de-identification framework includes two phases: (1) Annotation of Dataset and Training of Yolov3- DLA Deep learning model, which comprises of labeling of PHI regions in the clinical document Images using nine pre-defined categories and training Yolov3-DLA model. (2) De-identification identifies the regions of the Clinical Document Image using the Yolov3-Document Layout Analysis (Yolov3-DLA) trained model and verifies whether each region contains PHI fields that will be removed for anonymization. The proposed model, which uses Document layout analysis to identify the regions based on the structure of the contents and helps ease the identification process of PHI regions, achieved an F1 score of 97.21%. The proposed end-to-end framework is a robust de-identification solution for clinical narrative corpora. Any form of clinical narrative documents may be readily adapted to use this approach.
Heat Mitigation in Cities: A Catalyst for Building Energy Saving
Authors: Santamouris Mat 
Published: September 2023

Abstract
Overheating of cities increases the cooling energy consumption of buildings and the corresponding peak electricity demand. Advanced urban heat mitigation technologies that involve the use of super cool photonic materials combined with properly designed green infrastructure, lower the urban ambient and land surface temperatures and reduce the cooling energy consumption at the city scale. Here, we present and report the results of the world’s largest heat mitigation project in Riyadh, KSA. Daytime radiative coolers as well as cool and super cool materials combined with irrigated or non-irrigated greenery, have been used to design eight holistic and integrated heat mitigation scenarios, properly assessed by mesoscale climatic models covering the whole city. We assessed the impact of the scenarios as well as the corresponding energy benefits of 3323 urban buildings. An impressive decrease of the peak ambient temperature, up to 4.5°C, is calculated, consisting of the highest reported urban cooling performance, while the cooling degree hours in the city decrease by up to 26%. We found that innovative urban heat mitigation strategies contribute to remarkable cooling energy conservation by up to 16%, while the combined implementation of heat mitigation and energy adaptation technologies result in a decrease in the cooling demand by up to 35%. It is the first article investigating and reporting the large-scale energy benefits of modern heat mitigation technologies implemented in large cities as well as the dynamic and complex interdependencies between urban buildings and the urban environment as well asthe suitability and the corresponding cooling and energy conservation potential of current and advanced heat mitigation technologies. It finally explores pathways to optimise urban heat mitigation and the related energy conservation strategies in cities.
Diagnostic Performance of Two-Dimensional Shear-Wave Elastography and Attenuation Imaging for Fibrosis and Steatosis Assessment in Chronic Liver Disease
Authors: Kobayashi Tamaki , Nakatsuka Takuma , Sato Masaya , Soroida Yoko , Hikita Hiromi , Gotoh Hiroaki , Iwai Tomomi , Tateishi Ryosuke , Kurano Makoto , Fujishiro Mitsuhiro 
Published: September 2023

Abstract
We investigated the diagnostic performance of two-dimensional shear-wave elastography (2D-SWE) and attenuation imaging (ATI) in detecting fibrosis and steatosis among patients with chronic liver disease (CLD). Liver stiffness measurement (LSM) was performed in 209 patients with CLD using 2D-SWE and vibration-controlled transient elastography (VCTE), and steatosis quantification using ATI and controlled attenuation parameter (CAP). Significant correlations were found between 2D-SWE and VCTE (r=0.78, p <0.001), and between ATI and CAP (r=0.70, p <0.001). Liver stiffness tended to be lower in 2D-SWE compared with that in VCTE, especially in cases with higher LSM, and ATI was less influenced by skin-to-capsular distance than CAP. Area under the receiver-operating characteristics curves (AUCs) and optimal cut-offs of 2D-SWE for diagnosing liver fibrosis stages F2, F3, and F4 were 0.74 (8.7 kPa), 0.79 (9.1 kPa), and 0.89 (11.6 kPa), respectively. The AUCs and optimal cut-offs of ATI for diagnosing hepatic steatosis stages S1, S2, and S3 were 0.91 (0.66 dB/cm/MHz), 0.81 (0.79 dB/cm/MHz), and 0.88 (0.86 dB/cm/MHz), respectively. A subgroup analysis of 93 patients with non-alcoholic fatty liver disease also demonstrated good performance of 2D-SWE and ATI. Overall, 2D-SWE and ATI performed comparably with established VCTE and CAP in CLD evaluation.
A Redistribution Framework for Diffusion Auctions
Authors: Zhao Dengji , Gu Sizhe , Zhang Yao 
Published: September 2023

Abstract

Redistribution mechanism design aims to redistribute the revenue collected by a truthful auction back to its participants without affecting the truthfulness. We study redistribution mechanisms for diffusion auctions, which is a new type of mechanisms on social networks [1]. The key property of a diffusion auction is that the existing participants are incentivized to invite new participants to join the auction. Hence, when we design redistributions, we also need to maintain this incentive. Existing redistribution mechanisms in the traditional setting are targeted at modifying the payment design of a truthful mechanism, such as the Cavallo modification on the Vickrey auction. In this paper, we do not focus on one specific diffusion mechanism. Instead, we propose a framework to redistribute the revenue for all truthful diffusion auctions for selling a single item. The framework treats the original truthful diffusion auction as a black box, and it does not affect its truthfulness. Under the framework, we also give the conditions to satisfy the property of asymptotical budget-balance.