Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of auditory pathway excitability using a pre-operative trans-tympanic electrically evoked auditory brainstem response under local anesthesia in cochlear implant candidates

Abstract Objective Subjective promontory stimulation is used to evaluate cochlear implant (CI) candidacy, but the test reliability is low. Electrically evoked auditory brainstem response (EABR) can verify the function of the auditory system objectively. This study’s procedure uses a trans-tympanic rounded bent-tip electrode to perform pre-operative EABR under local anaesthesia (LA-TT-EABR) using MED-EL Software and Hardware. This study aimed to determine usability and effectiveness for CI candidates. Design We hypothesised that LA-TT-EABR waveforms of good quality would be related to successful hearing outcomes. We assumed that the duration of hearing loss/deafness was a confounding factor to study outcomes. Study sample 19 borderline CI candidates. Results Positive LA-TT-EABR results were confirmed in 14 patients. LA-TT-EABR’s mean latency was 2.05 ± 0.31 ms (eII/eIII) and 4.24 ± 0.39 ms (eIV/eV). Latencies weren’t statistically different from intra-operative EABR elicited by basal CI contacts. All positive LA-TT-EABR patients benefitted from CI and speech performance improved one year after implantation. One patient with negative LA-TT-EABR was cochlear-implanted and had no hearing sensation. Conclusions LA-TT-EABR is a tool in the frame of pre-operative objective testing the auditory pathway. It seems useful for clinical testing CI candidacy. Based on this study’s outcomes, LA-TT-EABR should be recommended for uncertain CI candidates.
Based on the Application Practice of Multifunctional Nanomaterials in Art Design and Industrial Manufacturing Concept

Design is the broad application of discovering new materials and technologies. Nanomaterials have been widely used in product design as a new type of material. The rapid development of nanotechnology is bound to trigger a new design revolution. Combining user needs, design concepts, and material selection, this paper discusses the relationship between user needs and nanoproducts and user needs and nanomaterials. In this paper, the design requirements and related properties of nanomaterials are put forward through the study of the hydration rate of nanomaterials after adding cement, optical microscopy, scanning electron microscopy, and morphology analysis. The effect of the addition of ultrafine materials on the dissolution of ions during cement hydration was studied by ICP technology. The experimental results in this paper show that with the development of the distance, the concentration of calcium ions gradually decreases, and the order of calcium ion concentration is No. 3 tank > No. 4 tank > No. 5 tank. The diffusion of calcium ions was enhanced after the incorporation of nanomaterials, and the diffusion ability of NT to calcium ions was stronger than that of NS group.
Why do Family Members Reject AI in Health Care? Competing Effects of Emotions

ABSTRACT Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find that anxiety about health care monitoring and anxiety about health outcomes reduce the rejection of AI monitoring, whereas surveillance anxiety and delegation anxiety increase rejection. We also find that for individual-level risks, perceived controllability moderates the relationship between surveillance anxiety and the rejection of AI monitoring. We contribute to the theory of Information System rejection by identifying the competing roles of emotions in AI monitoring decision making. We extend the literature on decision making for others by suggesting the influential role of anxiety. We also contribute to healthcare research in Information System by identifying the important role of controllability, a design factor, in AI monitoring rejection.
Comorbid insomnia and sleep apnea in children: a preliminary explorative study

Insomnia and sleep‐disordered breathing (SDB) are prevalent sleep disorders. These disorders can therefore be concurrently present – comorbid insomnia and sleep apnea (COMISA). The prevalence of COMISA in the paediatric age range is unclear. As such, phenotypic constructs should help better define this comorbid condition if it exists in children and improve both diagnostic sensitivity and ultimately clinical care outcomes. We aimed to evaluate the frequency of insomnia in children and adolescents referred for evaluation of sleep symptoms suggestive of SDB in one initial (Cohort#1) and verify such findings in an independent cohort (Cohort#2) using a retrospective cross‐sectional approach in patients aged 9–19 years presenting at a sleep centre to be evaluated for symptoms of SDB. Cohort #1 comprised 50 consecutive children (58% males; mean [SD] age 13.6 [3.3] years; median [interquartile range, IQR] Epworth Sleepiness Scale score 10 [6–12]) who were evaluated using validated SDB and insomnia questionnaires. Cohort#2 was extracted from electronic medical records and included 384 polysomnographically evaluated children (mean [SD] age 12.9 [3.6] years; mean [SD] body mass index z score 1.27 [0.28]; median Epworth Sleepiness Scale score 9.7 [4–17]). In Cohort #1, 56% were at high risk of SDB, 36% had insomnia alone, and 18% were at high risk of COMISA. The prevalence of COMISA in Cohort #2 was 16%, 72% had SDB alone, and 12% had insomnia alone. In both cohorts, COMISA manifested as increased propensity for sleepiness and fatigue during both waking and daytime. Thus, the presence of COMISA is frequent in the paediatric age range and accompanied by a more prominent symptomatic phenotype.
A systematic review of structural equation modeling in augmented reality applications

The purpose of this study is to present a comprehensive review of the use of structural equation modeling (SEM) in augmented reality (AR) studies in the context of the COVID-19 pandemic. IEEE Xplore Scopus, Wiley Online Library, Emerald Insight, and ScienceDirect are the main five data sources for data collection from Jan 2020 to May 2021. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach was used to conduct the analysis. At the final stage, 53 relevant publications were included for analysis. Variables such as the number of participants in the study, original or derived hypothesized model, latent variables, direct/indirect contact with users, country, limitation/suggestion, and keywords were extracted. The results showed that a variety of external factors were used to construct the SEM models rather than using the parsimonious ones. The reports showed a fair balance between the direct and indirect methods to contact participants. Despite the COVID-19 pandemic, few publications addressed the issue of data collection and evaluation methods, whereas video demonstrations of the augmented reality (AR) apps were utilized. The current work influences new AR researchers who are searching for a theory-based research model in their studies.
Analysis and Design of a Low Power 1.2V CMOS Downconversion Mixer Utilising Substrate Biasing

This thesis presents detail theoretical analysis of downconversion Gilbert cell mixer with the improvements on major performance parameters by utilizing different substrate biasing techniques. By modifying the threshold voltage of the switching core, the LO transistors perform more ideally as a perfect switch. It improves the active mixer performances in conversion gain, noise and linearity performances. The techniques are implemented on a 1.2 V low power CMOS downconversion mixer for performance comparisons between simulation and measurements result. They are realized in TSMC 0.18 urn CMOS technology. It shows that body-biasing techniques help to increase the switching efficiency of the Gilbert mixer. And a mixer with a better switching provides better performance. With no additional power consumption, the no body effect technique in Design B has shown a 1.5 dB higher in conversion gain, 2 dBm higher in IIP3, and a 0.5 dB lower in NF performance. With the varying biasing technique implemented in Design C, it shows an improvement of 22 dB in conversion gain. Both Design B and C have less than 2 m W power consumption and are suitable for Bluetooth applications. This thesis also introduces a stage-by-stage procedure for designing a Gilbert mixer; design tradeoffs at each stage are also discussed.
Effects of dietary xylooligosaccharides supplementation on the intestinal morphology, nitrogen metabolism, faecal ammonia release, antioxidant capacity, and immune organ indices of broilers

Abstract This aim of the present study was to evaluate the effects of dietary xylooligosaccharides (XOS) on the intestinal morphology, nitrogen metabolism, faecal ammonia release, antioxidant capacity, and immune organ indices of broilers fed corn-soybean meal diet. A total of 240 healthy 1-day-old Arbour Acres (AA) broilers were randomly divided into four treatment groups receiving XOS supplementation of 0 (Control), 150, 300, and 450 mg/kg to basal diet for 6 weeks. Six replicates with 10 birds each were prepared for each treatment. Results showed that the villus height of duodenum, jejunum, and ileum and the villus height to crypt depth ratio of jejunum were increased significantly in the broilers receiving 150 mg/kg XOS compared with those in the Control (p < 0.05). Nitrogen utilisation from day 19 to 21 was higher in the 150 mg/kg XOS group than in the Control (p < 0.05). Moreover, the addition of 150 mg/kg XOS reduced the nitrogen excretion from day 40 to 42 (p < 0.05), and all XOS treatments increased the nitrogen utilisation from day 40 to 42 (p < 0.05). All dietary XOS supplementations decreased the faecal ammonia concentration on day 21 (p < 0.05), and the addition of 150 and 450 mg/kg XOS induced a lower faecal ammonia concentration compared with that of the Control on day 42 (p < 0.05). Dietary supplementation of 300 and 450 mg/kg XOS enhanced the activity of serum total antioxidant capacity compared with that in the Control and 150 mg/kg XOS groups at the age of 42 days (p < 0.05). Supplementation with 450 mg/kg XOS significantly increased the index of thymus (p < 0.05) and the content of total protein compared with those of the Control at the age of 21 days (p < 0.05). Therefore, dietary supplementation with 150 mg/kg XOS have a beneficial effect on broilers. Highlights Dietary supplementation with XOS increased the villus height of duodenum, jejunum and ileum, and the VH/CD ratio of jejunum. Dietary supplementation with XOS enhanced nitrogen metabolism and reduced faecal ammonia release.
3D Modeling Technology of Mobile Big Data Application in the Electric Vehicle Condition Monitoring System

In recent years, the modern information society has entered the era of big data. Big data has rapidly developed into a popular category favored by academia and industry and has been widely used. This paper is aimed at studying the application of the 3D modeling technology of mobile big data to the monitoring of the state of electric vehicles. It proposes related concepts of big data algorithm and 3D modeling technology, introduces the trajectory matching algorithm based on mobile big data, and finally introduces the related concepts of electric vehicles and the design of the big data analysis platform for condition monitoring of substation equipment. On the basis of discussing the application of the three-dimensional modeling technology of mobile big data in the electric vehicle condition monitoring system, the experimental research was carried out with the big data in the condition monitoring of the intelligent substation. The experimental results of this paper showed that the storage overhead of the NJLS model was reduced by 34% to 40% compared with the conventional star schema, which could reduce the space overhead.
Delayed union, non‐union and mal‐union in 442 dogs

Abstract Objectives (1) To estimate the prevalence of delayed union, non‐union and mal‐union in canine fractures; (2) to describe fracture, demographic, and treatment characteristics for these outcomes; (3) to identify risk factors for delayed or non‐union. Study design Retrospective study. Sample population Four hundred and forty two dogs (461 fractures). Methods A review was conducted of clinical records and radiographs from 2 teaching hospitals. “Union,” “delayed union,” “non‐union” and “mal‐union” were defined, and fracture, demographic, treatment, and outcome variables described. Differences in proportions or medians between “union,” “delayed union” and “non‐union” were tested using χ2 and Mann‐Whitney U‐tests for categorical and continuous variables respectively. Potential explanatory variables for “delayed or non‐union” were tested using logistic regression to identify risk factors. Results Median radiographic follow up was 53 days (14‐282). Delayed union occurred in 13.9% of fractures (64/461), non‐union in 4.6% (21/461), and mal‐union in 0.7% (3/461). Risk factors for delayed or non‐union were age (OR 1.21, 95% CI 1.12‐1.31); comminuted fracture (OR 4.24, 95% CI 2.4‐7.5); treatment with bone graft (all types) (OR 3.32, 95% CI 1.3‐8.5); surgical site infection (OR 3.24, 95% CI 1.17‐8.97), and major implant failure (OR 12.94, 95% CI 5.06‐33.1). Conclusion Older dogs, dogs with comminuted fractures, surgical site infection, or major implant failure were at increased odds of delayed or non‐union. Radius and ulna fractures in toy breed dogs were not at increased odds of delayed or non‐union. Clinical significance The identified risk factors should inform fracture planning and prognosticating. The prognosis for radial fractures in toy breeds appears better than historically believed.
Systemic Immune-Inflammation Index Predicted Presence and Severity of Coronary Artery Disease

Objective: We aimed to investigate whether systemic immune-inflammation index, an easily available inflammatory and immune response marker, is associated with SYNTAX score (SS) in patients admitted with suspected CAD who underwent coronary angiography (CAG). Materials and Methods: Evaluated retrospectively were 456 patients who CAG from the cardiology outpatient clinic between January 2020 and January 2022. The SII was calculated by the formula neutrophil × platelet / lymphocyte. SS scores were divided into 3 groups as <22 (lowest), 22-32 (intermediate), and ≥32 (highest). Those with an SS of 0 were taken as the control group. Results: Median were higher in CAD group compared to control group SII (631.0 vs 381.5, p< 0.001), and a positive correlation was found between SS and SII (r= 0.578, p<0.001) levels. Median SII levels were found to be higher as SS severity increased (p< 0.05 for each SS group). The cut-off value of SII in predicting the presence of CAD was >594.2, with 56.7% sensitivity and 91.1% specificity (AUC ± SE = 0.807 ± 0.020, p < 0.001). In addition, it was found that SII predicted lowest SS group compared to the control group (OR = 1.06; p < 0.001), intermediate SS compared to lowest SS (OR = 1.03; p < 0.001), and highest SS compared to intermediate SS (OR = 1.04; p < 0.001). Conclusion: SII has the potential to be a screening marker for presence and severity of CAD before CAG. This study demonstrates that SII is independently associated with coronary atherosclerosis burden.
Early Functional Outcome of Hemiarthroplasty in the Elderly with Neck of Femur Fracture: A Single Centre's Experience

Introduction: Neck of femur fractures in the elderly population are common and often a devastating condition. The optimal treatment has been a subject of debate. Arthroplasty has been shown to be the most viable treatment option. The high cost of total hip replacement makes hemiarthroplasty a suitable option in our environment. Materials and Methods: This study was designed to measure the outcome of hemiarthroplasty after femoral neck fracture using Harris hip score in patients aged 60 and above at the National Orthopaedic Hospital, Dala, Kano, Nigeria. Results: Twenty-five consecutive patients 60 years and above with femoral neck fracture who met the inclusion criteria and gave consent were enrolled into the study. The mean Harris hip score at the pre-operative period was 16.92. Fourth week after the surgery, the mean Harris hip score was 69.96. The score rose further to 75.24 and 80.96 at 12 weeks and 6 months post-operatively. The difference between the mean pre-operative and post-operative scores at 4th week, 12th week, and 6th month was statistically significant. During the pre-operative period, all patients had a poor Harris hip score grade. Six months after the surgery, 7 patients (28%) had an excellent Harris hip score grade, 12 patients (48%) had good grades, and 1 patient (4%) had a fair Harris hip score grade. Five patients (20%) had a poor Harris hip score grade at 6 months. Conclusion: From the findings of this study, it can be concluded that early functional outcomes of hemiarthroplasty for femoral neck fracture in the elderly are good and satisfactory.
Learning NAT-Modeled Bayesian Network Structures with Bayesian Approach

We study Bayesian approach for learning structures of Bayesian networks (BNs) with local models. The local structures we focus on are Non-impeding noisy-AND Tree (NAT) models due to their multiple merits. We extend meta-nets to allow encoding of prior knowledge on NAT local structures and parameters. From the extended meta-nets, we develop a Bayesian Dirichlet (BD) scoring function for evaluating alternative NAT-modeled BN structures. A heuristic algorithm is presented for searching through the structure space that is signi(cid:28)cantly more complex than that of BN structures without local models. We experimentally demonstrate learning of NAT-modeled BNs, whose inference produces su(cid:30)ciently accurate posterior marginals and is signi(cid:28)cantly more e(cid:30)cient.
Manifestações orais do Diabetes Mellitus em idosos: uma revisão integrativa

Objetivo: Esse trabalho tem como objetivo identificar a associação entre as manifestações orais e o Diabetes Mellitus em idosos. Metodologia: Trata-se de uma revisão integrativa da literatura realizada por meio de uma estratégia de busca nas bases de dados da LILACS, PubMed, Scopus e Web of Science. No processo de busca, foram utilizados os descritores “Idoso”, “Diabetes Mellitus”, “Saúde Bucal”, “Aged”, “Elderly” e “Oral Health”, combinados com o operador Booleano “AND”. Resultados: Foram encontrados 1747 estudos, dos quais 12 foram selecionados. Dentre as manifestações orais em diabéticos idosos, destacam-se as doenças periodontais, cárie dentária, edentulismo, xerostomia e necessidade de prótese dentária. Conclusão: Conclui-se que há necessidade da atuação do cirurgião-dentista no controle das manifestações orais e nos cuidados com a saúde bucal de idosos diabéticos.
Hyper-Consistent Estimation of a Unit Root in Time Series Regression

It is shown that the fully modified ordinary least squares (FM-OLS) estimator of a unit root in time series regression is T^{3/2}-consistent. Relative to FM-OLS, therefore, the least squares and maximum likelihood estimators are infinitely deficient asymptotically. Simulations show that this dominance of FM-OLS persists even in small samples.
The complete chloroplast genome sequence of Nekemias cantoniensis (Hook. et Arn.) Planch 1873 (Vitaceae)

Abstract Nekemias cantoniensis (Hook. et Arn.) Planch 1873 is a woody vine species native to South and Southwest China that is rich in flavonoids and also displays excellent pharmacological activities. The purpose of this study was to characterize the complete chloroplast (cp) genome of N. cantoniensis using Illumina pair-end sequencing data. In summary, the complete cp genome of N. cantoniensis exhibits a quadripartite structure with a length of 162,655 base pairs, including a large single-copy (LSC) region of 89,341 base pairs, a small single-copy (SSC) region of 19,076 base pairs, and two inverted repeats (IRs) regions of 27,119 base pairs. The overall GC content of the genome is 37.41%, while the corresponding values for the LSC, SSC, and IR regions are 34.75%, 32.89%, and 43.02%, respectively. The genome contains 137 genes, of which 87 are protein coding, 36 are tRNA coding, and eight are rRNA coding. Maximum-likelihood phylogenetic analyses revealed that N. cantoniensis was clustered with N. grossedentata.
A Review on Techniques and Biomaterials Used in 3D Bioprinting

Three-dimensional (3D) bioprinting is a cutting-edge technology that has come to light recently and shows a promising potential whose progress will change the face of medicine. This article reviews the most commonly used techniques and biomaterials for 3D bioprinting. We will also look at the advantages and limitations of various techniques and biomaterials and get a comparative idea about them. In addition, we will also look at the recent applications of these techniques in different industries. This article aims to get a basic idea of the techniques and biomaterials used in 3D bioprinting, their advantages and limitations, and their recent applications in various fields.
Evaluating Explanation Correctness in Legal Decision Making

As machine learning models are being extensively deployed across many applications, concerns are rising with regard to their trustability. Explainable models have become an important topic of interest for high-stakes decision making, but their evaluation in the legal domain still remains seriously understudied; existing work does not have thorough feedback from subject matter experts to inform their evaluation. Our work here aims to quantify the faithfulness and plausibility of explainable AI methods over several legal tasks, using computational evaluation and user studies directly involving lawyers. The computational evaluation is for measuring faithfulness , how close the explanation is to the model’s true reasoning, while the user studies are measuring plausibility , how reasonable is the explanation to a subject matter expert. The general goal of this evaluation is to find a more accurate indication of whether or not machine learning methods are able to adequately satisfy legal requirements.
First ultrasound report of temporal extension of bichat fat: correlation between anatomy and ultrasonography

The knowledge of facial anatomy and its correlation with ultrasonography has been gaining ground in the clinical practice of several professionals. Therefore, the knowledge of facial anatomical structures through dynamic ultrasonography images must be understood as a critical element for the clinical practice of guided esthetic facial procedures. In this pictorial essay focuses on discussing unprecedented anatomical details Temporal Extension of Bichat Fat correlating the anatomy with routine ultrasonography images. Knowledge of the US features of the temporal and buccal extensions of Bichat's fat will help narrow the differential diagnosis and guide clinical decision-making through spatial resolution and the ability to assess these structures using muscle contraction dynamically.