Miracle-dz/UniFAR-FTUs huggingface dataset:
Applications of CAD/CAM Technology for Craniofacial Implants Placement and Manufacturing of Auricular Prostheses—Systematic Review

This systematic review was aimed at gathering the clinical and technical applications of CAD/CAM technology for craniofacial implant placement and processing of auricular prostheses based on clinical cases. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, an electronic data search was performed. Human clinical studies utilizing digital planning, designing, and printing systems for craniofacial implant placement and processing of auricular prostheses for prosthetic rehabilitation of auricular defects were included. Following a data search, a total of 36 clinical human studies were included, which were digitally planned and executed through various virtual software to rehabilitate auricular defects. Preoperative data were collected mainly through computed tomography scans (CT scans) (55 cases); meanwhile, the most common laser scanners were the 3dMDface System (3dMD LLC, Atlanta, Georgia, USA) (6 cases) and the 3 Shape scanner (3 Shape, Copenhagen, Denmark) (6 cases). The most common digital design software are Mimics Software (Mimics Innovation Suite, Materialize, Leuven, Belgium) (18 cases), Freeform software (Freeform, NC, USA) (13 cases), and 3 Shape software (3 Shape, Copenhagen, Denmark) (12 cases). Surgical templates were designed and utilized in 35 cases to place 88 craniofacial implants in auricular defect areas. The most common craniofacial implants were Vistafix craniofacial implants (Entific Medical Systems, Goteborg, Sweden) in 22 cases. A surgical navigation system was used to place 20 craniofacial implants in the mastoid bone. Digital applications of CAD/CAM technology include, but are not limited to, study models, mirrored replicas of intact ears, molds, retentive attachments, customized implants, substructures, and silicone prostheses. The included studies demonstrated a predictable clinical outcome, reduced the patient’s visits, and completed the prosthetic rehabilitation in reasonable time and at reasonable cost. However, equipment costs and trained technical staff were highlighted as possible limitations to the use of CAD/CAM systems.
Early domestic animals in Europe : imported or locally domesticated?

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Analysing animal movement in the environment

Studies of animal movement are rapidly increasing as tracking technologies make it possible to collect more data of a larger variety of species. Comparisons of animal movement across sites, times, or species are key to asking questions about animal adaptation, responses to climate and land-use change. Thus, great gains can be made by sharing and exchanging animal tracking data. Here we present an animal movement data model that we use within the Movebank web application to describe tracked animals. Themodel facilitates data comparisons across a broad
Eye lens dose measurement in patients during brain arteriovenous malformation interventional neuro-radiology procedure

Brain arteriovenous malformation (AVM) interventional neuroradiology (INR) is a complicated procedure which the patients may receive the high radiation dose exceeding the threshold level for detectable eye lens opacities and cataracts (ICRP, 2012). The objectives of this study are to measure the patient eye lens dose using optically stimulated luminescence dosimeter, OSLD, during AVM INR procedure at Interventional Radiology Unit, Department of Radiology, King Chulalongkorn Memorial Hospital (KCMH) and to study the factors affecting the patient eye lens dose. NanoDot OSLDs were attached on the transparent radiation thin film eyewear and closed to the patient eyelids during the procedure. Philips Allura Clarity Xper FD20/15 biplane system has been used and parameters related to acquisition protocol were recorded. The size and site of brain AVM lesion and experience of interventional neuroradiologists were included. 32 AVM INR patients include 15 therapeutic and 17 diagnostic procedures were studied from August to December 2018. The results show that: therapeutic procedure, the average and range of patient left and right eye lens doses were 65.14 (17.88  111.70) and 29.62 (11.63  56.81) mGy, KAP at PA and lateral X-ray tubes were 112.05 (41.62  305.44) and 57.42 (19.73  102.99) Gycm2, AK at PA and lateral tubes were 1.80 (0.50  5.17) and 1.26 (0.38  2.98) Gy, and the exposure time was 77.15 (26.52  186.56) minutes. The average left eye lens dose was higher than the right eye. KAP, AK and total exposure time were correlated to patient eye lens dose by r = 0.60, 0.58, 0.44. The beam collimation, frame rate, angular and rotation of X-ray tube, the experience of specialist and complexity index of the procedure influence the patient eye lens dose. The average patient eye lens dose in a single procedure was less than 0.5 Gy, the threshold dose level of eye lens opacities and cataracts. The collimated irradiation area, reduce frame rate, speed and the short distance from flat panel detector to patient have been commonly selected, especially in patients with multiple procedures.
Gene-Based Tests for Screening , Detection , and / or Management of Prostate Cancer Effective : July 1 , 2018

PLEASE NOTE: Contracts exclude from coverage, among other things, services or procedures that are considered investigational or cosmetic. Providers may bill members for services or procedures that are considered investigational or cosmetic. Providers are encouraged to inform members before rendering such services that the members are likely to be financially responsible for the cost of these services.
Pembobotan TF-IDF Menggunakan Naïve Bayes pada Sentimen Masyarakat Mengenai Isu Kenaikan BIPIH

The Ministry of Religious Affairs proposes to increase the cost of Hajj Travel (Bipih) in 1444 H/2023 M to Rp.69. 19 million. There is a fairly high increase in costs compared to 2022. This raises sentiment in the community, there are public opinions for and against the issue of rising Bipih on social media twitter. The purpose of this study was to analyze the sentiment on the issue of increasing the cost of Hajj Travel and to prove whether Naive Bayes is a good classifier of text on the issue of incremental sentiment. Naive Baye is one of the best text classifier algorithms. Data taken from social media twitter. The Data are grouped into pro and Contra opinions and then processed using python programming language and jupyter as text editor. Data used as much as 850 data. The Data is divided into training data and testing data with a ratio of 80:20. With the number of training data of 679 data and the number of testing data of 170 data. Then implement Multinominal Naive Bayes algorithm (MNB) as text classifier and word weighting using TF-IDF. The test results obtained accuracy value of 89% and ROC value of 0.91. It is proven that Multinominal Naive Bayes algorithm (MNB) is a good classifier of text for sentiment analysis of opinion on the issue of increasing the cost of Hajj travel because it is included in the Excellent Classification.
Development of Synchronized Waveform Measurement and Its Application on Fault Detection

Due to the massive installation of distributed renewables in distribution networks, the power signal may be changed extremely fast when a disturbance occurs, which leads to severe waveform distortion. The traditional phasor measurements are unable to capture and characterize this kind of short-timescale dynamic process. Therefore, an adaptive synchronized waveform measurement method and a waveform-based fault detection method are proposed in this article. For the synchronized waveform measurement, an adaptive sampling method based on the effective component identification is first proposed to perform high-precision measurement with different sample rates in different scenarios. A waveform data compression algorithm based on wavelet transform and Deflate algorithm is then proposed to reduce the data redundancy, and a transmission protocol suitable for compressed data transmission is designed. A synchronized measurement device for waveform (SMD-W) is developed and evaluated. This article also proposes a fault detection method for distribution network, which considers high impedance fault (HIF). The field data show that the amplitude error of the proposed synchronized measurement method is less than 0.2%, and the communication delay is saved by 50% compared with the COMTRADE format. And the proposed fault detection method has higher detection accuracy compared with other existing methods.
Development of a Low-Cost Portable EMG for Measuring the Muscular Activity of Workers in the Field

This study explores the development and validation of a low-cost electromyography (EMG) device for monitoring muscle activity and muscle fatigue by monitoring the key features in EMG time and frequency domains. The device consists of a Raspberry Pico microcontroller interfacing a Myoware EMG module. The experiment involved 34 volunteers (14 women, 20 men) who performed isometric and isotonic contractions using a hand dynamometer. The low-cost EMG device was compared to a research-grade EMG device, recording EMG signals simultaneously. Key features including root mean square (RMS), median power frequency (MDF), and mean power frequency (MNF) were extracted to evaluate muscle fatigue. During isometric contraction, a strong congruence between the two devices, with similar readings and behavior of the extracted features, was observed, and the Wilcoxon signed rank test confirmed no significant difference in the ability to detect muscle fatigue between the devices. For isotonic contractions, the low-cost device demonstrated behavior similar to the professional EMG device in 70.58% of cases, despite some susceptibility to noise and movement. This suggests the potential viability of the low-cost EMG device as a portable tool for assessing muscle fatigue, enabling accessible and cost-effective management of muscle health in various work scenarios.
The First Africans: African Archaeology from the Earliest Toolmakers to Most Recent Foragers

1. Introducing the African record 2. Frameworks in space and time 3. First tool users and makers 4. Early Pleistocene foragers 5. Mid-Pleistocene foragers 6. Transitions and origins 7. The Big Dry: the archaeology of marine isotope 4-2 8. Hunting, gathering, intensifying: the mid-Holocene record 9. Foragers in a world of farmers 10. The future of the first Africans' past.
Approche variationnelle pour la cartographie spatio-temporelle du risque en épidémiologie à l'aide de champs de Markov cachés

L'analyse spatio-temporelle d'une epidemie permet aux epidemiologistes de comprendre son etiologie et fournit des suggestions pour planifier de nouvelles etudes pour examiner les causes sous-jacentes. Cette analyse donne lieu a une estimation du risque epidemiologique dans differentes unites geographiques et produit ainsi des cartes de risque permettant la detection de differences de niveau de risque a differents pas de temps. Nous proposons d'adapter une methode par champs de Markov caches discrets (issue de l'analyse d'images) dans le cadre spatial, pour permettre une classification intrinseque des risques en vue du trace des cartes de niveaux de risque te de l'etendre par la suite a un contexte spatio-temporel. Afin d'estimer les parametres du modele et de definir les classes,l'algorithme EM-champ moyen est utilise.
Deep Medullary Vein and MRI Markers Were Related to Cerebral Hemorrhage Subtypes

Background: To explore the performance of deep medullary vein (DMV) and magnetic resonance imaging (MRI) markers in different intracerebral hemorrhage (ICH) subtypes in patients with cerebral small vessel disease (CSVD). Methods: In total, 232 cases of CSVD with ICH were included in this study. The clinical and image data were retrospectively analyzed. Patients were divided into hypertensive arteriopathy (HTNA)-related ICH, cerebral amyloid angiopathy (CAA)-related ICH, and mixed ICH groups. The DMV score was determined in the cerebral hemisphere contralateral to the ICH. Results: The DMV score was different between the HTNA-related and mixed ICH groups (p < 0.01). The MRI markers and CSVD burden score were significant among the ICH groups (p < 0.05). Compared to mixed ICH, HTNA-related ICH diagnosis was associated with higher deep white matter hyperintensity (DWMH) (OR: 0.452, 95% CI: 0.253–0.809, p < 0.05) and high-degree perivascular space (PVS) (OR: 0.633, 95% CI: 0.416–0.963, p < 0.05), and CAA-related ICH diagnosis was associated with increased age (OR: 1.074; 95% CI: 1.028–1.122, p = 0.001). The DMV score correlated with cerebral microbleed (CMB), PVS, DWMH, periventricular white matter hyperintensity (PWMH), and CSVD burden score (p < 0.05) but not with lacuna (p > 0.05). Age was an independent risk factor for the severity of DMV score (OR: 1.052; 95% CI: 0.026–0.076, p < 0.001). Conclusion: DMV scores, CSVD markers, and CSVD burden scores were associated with different subtypes of ICH. In addition, DMV scores were associated with the severity of CSVD and CSVD markers.
Roles of parent's preferences and student's subjective beliefs on college decision

This paper investigates whether and how children's educational choice is affected by parental preferences and perceived earnings. We assume that individuals choose college major to maximize their own utility which depends on several factors such as personal background, perceived earnings, and importantly parents' preferences. The study employs the Students Survey about Services of Government in Thailand data to study two educational choice decisions. First, whether to enroll in college. Second, conditional on college enrollment, which major to choose. Empirically, the logistic model and conditional multinomial logit model are estimated. We find strong evidence that parental preferences significantly correlate with educational choice of children, but perceived earnings have no statistically significant relationship with educational choice. Our result calls for a policy that encourages better communication among children, parents and teachers. Such policy could help children choose college major that better aligns with their preferences and ability.
Heat Flux Distribution Near a Crevasse

Abstract Previously reported experimental temperature data were used to compute the two components of the heat flux vector in the ice body adjacent to a crevasse in a glacier of the ice sheet of northern Greenland. Graphical differentiation techniques were employed. The computed components were used to synthesize values of the beat flux vector, including magnitude and direction. Improved accuracy was achieved over the previously reported technique of sketching heat flow lines orthogonal to the isotherms.
Improved Interpretation of Impulse Frequency Response Analysis for Synchronous Machine Using Life long Learning Based on iCaRL

Winding inter-turn and ground short circuit (SC) faults are common fault types of synchronous machines. The sweep frequency response analysis (SFRA) has been recently introduced to detect winding SC faults. In addition, impulse FRA (IFRA) provides an alternative that serves the same objective. Whether SFRA or IFRA, so far, there is still no standard and reliable interpretation code. The present interpretation of frequency response still calls for experienced personnel, which could be subjective. Thus, many researchers have used machine or deep learning-based models to detect winding SC faults from the frequency response automatically. However, most proposed models cannot provide real-time feedback and update. Therefore, this study proposes an improved model using life long learning strategy based on incremental classifier and representation learning (iCaRL) to interpret and analyze the IFRA curves. This study artificially simulates and records winding SC faults on a 5-kW synchronous machine. The proposed method is then verified on the test set and compared with other traditional life long learning strategies. The experimental results show that the accuracy of the proposed model is higher than 90% under all types of fault data streams in real time. The comparative experimental results show that the proposed model performs better than other life long learning strategies (Github code: https://github.com/cy1034429432/Improved-Interpretation-of-IFRA-based-on-iCaRL/tree/main).
Analysis of hand hygiene belief and practices of health care providers using the hand hygiene belief scale and the hand hygiene practices inventory

Objectives: Hand hygiene is vital importance to health-care-associated infections; however, hand hygiene compliance has not been still at acceptable levels. Behavior and psychological frameworks-based interventions is required to enhance compliance. In this context, the current study aimed to evaluate self-reported hand hygiene belief and practices of health care providers (HCPs) rather than observational data to increase hand hygiene compliance. Methods: This study included 468 HCPs working at a university hospital and responded the Hand Hygiene Belief Scale (HBS) and the Hand Hygiene Practices Inventory (HHPI). The responses were scored and given the variables affecting the hand hygiene belief and practices of HCPs, the data were processed by SPSS (Statistical Package for the Social Sciences) IBM 22.0 computer program. Results: Three hundred sixty-five women, 45 physicians and 271 nurses; (median age 37 years; IQR; 28.0-44.0) were included the study. The median HBS and HHPI scores were 87.00 (IQR 80.0-95.0) and 69.00 (IQR 66.0-70.0), respectively. A significant positive low correlation between the scores was detected (r = 0.369, P < 0.001). The physicians had significantly higher HBS scores, and those working in the ICUs had higher HBS scores. Conclusion: In this study, although scored self-reported hand hygiene belief and practices of health-care providers were acceptable limits; there was a low correlation between the scores, which suggests that there are inconsistencies between behaviours and targeted attitudes. Adaptation to hand hygiene is a challenging and complicated process; to increase compliance further evaluation of individual factors should be meticulously considered.
Maintaining the Sustainability of the Regional Credit Guarantee Institution in Indonesia

This study aimed to analyze the effect of internal and macroeconomic factors on the financial performance of Regional Credit Guarantee Institutions (PT. Jamkrida) in Indonesia. Internal factors included: guarantee risk, gearing ratio, liquidity, and asset management, while macroeconomic includes: gross domestic product and inflation. The population was PT. Jamkrida in Indonesia, which were 18 in total, of which 16 met the requirements as the sample. The type of data was secondary data sourced from the PT. Jamkrida’s Annual Financial Report with observations for 2014-2020. The data analysis technique used was multiple regression analysis. This result: internal and external factors affected financial performance PT. Jamkrida in Indonesia. This result also proved the important role of the local government in maintaining PT. Jamkrida's capital to ensure that bank loans to SMEs run well. This study contributes to the RBV theory by providing empirical evidence of the influence of internal resources and external conditions on PT. Jamkrida’s financial performance. But, this study has limitations as indicated by the results of an adjusted R square of 13.8%, so it is possible 86.2% of other variables can explain their effect on financial performance. Therefore, it offers opportunities to add other factor specifications, or other methods Keywords: guarantee risk, gearing ratio, liquidity, asset management, GDP, inflation, and financial performance
Comparison of the Effects of Feeding Compound Probiotics and Antibiotics on Growth Performance, Gut Microbiota, and Small Intestine Morphology in Yellow-Feather Broilers

This study was devoted to the comparison of the probiotic effect of compound probiotics to antibiotics as a feed additive for chicken. Two hundred and seventy newly hatched yellow-feather broilers were randomly divided into three groups: the control group (Con), probiotics (Pb), and antibiotics group (Ab). The Pb group received compound probiotics (Bifidobacterium, Lactobacillus acidophilus, Streptococcus faecalis, and yeast) via drinking water for 24 days. The Ab group received antibiotics (zinc bacitracin and colistin sulfate) in their diet for 24 days. All broilers were slaughtered on day 42. Compared with the Con group, the body weight was significantly increased on days 13, 28, and 42 in the Pb group (p < 0.05), and markedly increased on day 28 in the Ab group (p < 0.05). Compared with the Ab group, the body weight of the broilers in the Pb group increased significantly on day 13 (p < 0.05). Compared to the Con and Pb groups, the antibiotics treatment reduced the feed intake (p < 0.05), but there was no significant difference in the feed conversion ratio between the Ab and Pb groups (p > 0.05). The feed conversion ratio of the broilers treated with antibiotics or probiotics significantly decreased compared to the Con group (p < 0.05). The depth of duodenum, jejunum, and ileum crypts in the Pb group decreased significantly compared to the Con and Ab group (p < 0.05). The ratio of the villi length to crypt depth of duodenum, jejunum, and ileum epithelium was significantly increased in the Pb group compared to the Con group (p < 0.05). The genera Bacteroides and Barnesiella were the most significantly enriched bacteria in the Ab and Pb groups, respectively (p < 0.05). The expression of the genes related to antibiotic resistance was significantly decreased in the Pb group compared to the Ab group (p < 0.05). Although both compound probiotics and antibiotics can improve growth performance, antibiotics increased the abundance of harmful bacteria and drug-resistant genes, while probiotics increased Barnesiella abundance, which is related to a decrease in the drug-resistant gene expression. Moreover, the probiotics treatment improved small intestinal morphology and fecal emissions, while antibiotics have no significant effect on these indicators, indicating a bright future for probiotics as an alternative to feed antibiotics in the yellow-feather broiler industry.
The Impact of Market Risk Exposure on Banks’ Financial Performance: Evidence from the MENA Region

This study investigated the relationship between market risk and bank financial performance in 14 Middle East and North African (MENA) countries, employing quantile regression estimations. The data of 135 banks in the MENA region from 2015 to 2019 were collected from the Bankscope and World Bank. The OLS results showed that market risk was positively associated with bank performance. Quartile regression also indicated that only banks in the median and 90% quartiles had a positive association between market risk and performance. This proved that MENA banks have high performance when exposed to high market risk, in line with the perspectives of risk-return trade-off views. This implies that banks are risk-takers in conducting business in the highly competitive market in the MENA region. Banks tend to provide various financial services, which can secure generating returns. Besides, the findings also provide insight into banks’ preference in utilizing leverage to generate profits. The findings provide a cogent argument to the bankers and regulators in MENA region on the role and impact of market risk towards banks financial stability.