Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis by Using Naïve Bayes Classification and Support Vector Machine, Study Case Sea Bank

Information technology is developing at a rapid pace, changing people's lives, particularly in the financial sector where customer demands are rising, and banks must innovate to convert from traditional to technological banking systems while also increasing competency and efficiency through improved services. Innovations in digital banking have arisen in Indonesia as a result of technical progress. SEA Bank is one such digital bank; it was established in Indonesia in 2021. An app that may be found on the Google Play Store is used for all transactions. However, there are instances when the application's performance falls short of users' expectations, which prompts some users to voice their dissatisfaction. In order to determine if the evaluations are either beneficial or detrimental, the author therefore carried out a sentiment analysis study on SEA Bank using the Naïve Bayes classification and Support Vector Machine techniques. This was then implemented on a website utilizing the Flask framework. In the experiments with 90% training data, 10% testing data, and k = 10, the results of this study demonstrated that the sentiment classification process using the SVM algorithm was the best classification algorithm for evaluating its accuracy, precision, and recall values of 93.99%, 94.60%, 98.87%, and an F1 score of 96.69%.
Knee Angle Estimation with Dynamic Calibration Using Inertial Measurement Units for Running

The knee flexion angle is an important measurement for studies of the human gait. Running is a common activity with a high risk of knee injury. Studying the running gait in realistic situations is challenging because accurate joint angle measurements typically come from optical motion-capture systems constrained to laboratory settings. This study considers the use of shank and thigh inertial sensors within three different filtering algorithms to estimate the knee flexion angle for running without requiring sensor-to-segment mounting assumptions, body measurements, specific calibration poses, or magnetometers. The objective of this study is to determine the knee flexion angle within running applications using accelerometer and gyroscope information only. Data were collected for a single test participant (21-year-old female) at four different treadmill speeds and used to validate the estimation results for three filter variations with respect to a Vicon optical motion-capture system. The knee flexion angle filtering algorithms resulted in root-mean-square errors of approximately three degrees. The results of this study indicate estimation results that are within acceptable limits of five degrees for clinical gait analysis. Specifically, a complementary filter approach is effective for knee flexion angle estimation in running applications.
AQP3 and AQP9—Contrary Players in Sepsis?

Sepsis involves an immunological systemic response to a microbial pathogenic insult, leading to a cascade of interconnected biochemical, cellular, and organ–organ interaction networks. Potential drug targets can depict aquaporins, as they are involved in immunological processes. In immune cells, AQP3 and AQP9 are of special interest. In this study, we tested the hypothesis that these aquaporins are expressed in the blood cells of septic patients and impact sepsis survival. Clinical data, routine laboratory parameters, and blood samples from septic patients were analyzed on day 1 and day 8 after sepsis diagnosis. AQP expression and cytokine serum concentrations were measured. AQP3 mRNA expression increased over the duration of sepsis and was correlated with lymphocyte count. High AQP3 expression was associated with increased survival. In contrast, AQP9 expression was not altered during sepsis and was correlated with neutrophil count, and low levels of AQP9 were associated with increased survival. Furthermore, AQP9 expression was an independent risk factor for sepsis lethality. In conclusion, AQP3 and AQP9 may play contrary roles in the pathophysiology of sepsis, and these results suggest that AQP9 may be a novel drug target in sepsis and, concurrently, a valuable biomarker of the disease.
El estudio de la isla de calor urbana en el ámbito mediterráneo: una revisión bibliográfica

En el presente trabajo se efectua una revision de los diferentes estudios sobre el fenomeno de la isla de calor urbana (ICU) realizados en ciudades mediterraneas. De este modo se realizara una resena de cada estudio, presentando los metodos utilizados y las principales conclusiones. Destaca como en Grecia y Espana es donde aparecen un mayor numero de trabajos realizados y de ciudades estudiadas. En especial, la ciudad de Atenas es la que aglutina una mayor numero de estudios y de mas diversas tematicas. Respecto a los tamanos de las ciudades, se puede observar como existe una diversidad de rangos, estando representadas las grandes, las medianas y las pequenas.
Pattern Analysis for Biometric Authentication using Electrocardiogram Signal

Recently, biometric authentication based on Electrocardiogram (ECG) has been actively studied as a potential alternative to traditional counterparts. Conventional authentication systems require passwords in alphanumeric or graphical format, which involves the risk of loss, theft, or even forgetfulness. ECG-based authentication is currently one of the hot topics of research to address such shortcomings. Here, we demonstrate a Biometric Authentication system based on ECG by using an infinite impulse response (IIR) filter. ECG signals from 36 volunteer subjects were obtained and de-noised using the IIR filtration technique. Then, we extracted 18 time domain, cepstral and morphological features from preprocessed ECG signals. Next, the extracted features were classified by utilizing various classifiers such as Support Vector Machine (SVMs), K-nearest neighbours (KNNs), and Kernel Naïve Bayes (KNBs). SVM-quadratic demonstrated an accuracy of 99.2%, which is the highest among the various classifiers employed in this work. We expect that our proposed method can be utilized for developing an embedded system, which can be employed for the authentication of individuals with higher accuracy.
Computational Investigation of the Factors That Affect Tangential Electric Fields along Cardiac Lead Paths inside MRI Birdcage Coils

The medical imaging of a patient with a cardiac implantable electronic device (CIED) inside a magnetic resonance imaging (MRI) scanner carries the risk of tissue heating at the tip of the implant lead. In this work, we numerically assessed the impact of various factors, namely the resonant frequency, the imaging position, the implant position inside the human body and the coil configuration, on the induced tangential electric field along 10,080 cardiac lead paths at 1140 different scanning scenarios. During this comparative process, a function was considered based on the induced electrical potential at the tip of the lead. The input power of each coil was adjusted to generate constant B1+RMS at the iso-center or to limit the global SAR to the values provided in the safety guidelines IEC 60601-33. The values of the function were higher for higher static field and longer coil lengths when assessing the cases of a constrained B1+RMS, and the trend was reversed considering the limiting SAR values. Moreover, the electric field was higher as the imaging landmark approached the thorax and the neck. It was also shown that both the choice regarding the insertion vein of the lead and the positioning of the implantable pulse generator (IPG) affected the induced tangential electric field along the paths. In particular, when the CIED lead was inserted into the left axillary vein instead of entering into the right subclavian vein, the electrical potential at the tip could be on average lower by 1.6 dB and 2.1 dB at 1.5 T and 3 T, respectively.
Thermodynamics of the Glassy Polymer State: Equilibrium and Non-Equilibrium Aspects

This work examines, first, the non-equilibrium character of the glassy state of polymer systems and its significance in the development of novel materials for important technological applications. Subsequently, it summarizes the essentials of the generalized lattice fluid approach for the description of this highly complex non-equilibrium behavior with an approximate and simple, yet analytically powerful formalism. The working equations are derived in a straightforward and consistent manner by clearly defining the universal and specific variables needed to describe the discussed properties. The role of the non-random distribution of molecular species and free volume in the glassy system is also examined, as is the role of strong specific interactions, such as hydrogen-bonding networks. This work also reports examples of applications in a variety of representative systems, including glass densification, retrograde vitrification, increase in glass-transition temperature in hydrogen-bonded polymer mixtures, and hysteresis phenomena in sorption–desorption from glassy polymer matrices.
Python Solutions to Address Natural Language Challenges

Arabic is one of six official languages, according to UNESCO. It's spoken by more than 422 million Arabs, and 1.5 billion Muslims around the world use it when they pray five times a day. Arabs spoke classical Arabic more than 1400 years ago. On the other hand, dialectal Arabic is the everyday language that is used informally and varies from region to region. Modern Standard Arabic borrows from and adds to other languages to fit the needs of its speakers. Arabic is harder to learn because there are three different ways to speak it: the classical way, the modern way, and the casual way. Arabic is hard to work with on computers for more than one reason. Because Arabic has a lot of inflection and derivation, one lemma can turn into many different words with different meanings.
Section New Developments, Products and Techniques The acuityscope: a resolution test target projection ophthalmoscope

Summary The Acuityscope projects an image of a three bar resolution test target onto the patient's retina, where it is viewed and read by an observer. The test target consists of a series of three bar targets varying in size on a logarithmic scale. Individual targets are identified in the projected image by Bailey-Lovie log visual acuity equivalents. The projected image includes only those target sizes which are useful for estimating visual acuity.The Acuityscope is used for assessing the quality of retinal image formation, and is thus able to differentiate between poor visual acuity due to image degradation, (e.g. cataract or corneal disease) and poor visual acuity due to image handling defects (e.g. retinal or optic nerve disease). The use of the instrument is relevant to both clinical situations (e.g. pre-operative assessment of opacification of optical media) and expermental situations (e.g. clinical trials). The Acuityscope, a resolution test target projection ophthalmoscope, is introduced to provide a simple instrument for the objective estimation of visual acuity defects resultant upon optical degradation of retinal image formation by media opacification. The instrument is derived from that described by Cotlier [2], 1982. Cotlier's instrument used the USAF (United States Air Force) three bar resolution test target. (This USAF target was originally designed for testing photopraphic lenses, and is still used commercially for this purpose). The USAF three bar resolution target contains bars, the sizes of which are inappropriate to the clinical estimation of visual acuity, and for this reason a new target set has been designed at the Clinical Cataract Research Unit, Oxford, containing appropriate three bar targets. The design of the targets used data from a pilot study of patients with visual acuities between 6/4 and 6/60. Forty two eyes were included in the pilot study, eyes with retinal or optic nerve abnormal
Cultural adaptation and validation of the mental illness associated stigma scale for Arabic-speaking population in Saudi Arabia

Objective This research aimed to culturally adapt and validate the MIAS scale for Arabic-speaking individuals within the Saudi Arabian general population, with an emphasis on cultural, societal, and individual nuances. Methods An initial pilot testing with a small group ensured the scale's clarity. Subsequently, two cross-sectional studies involving 189 participants to assess structural validity of the Arabic MIAS scale, and 38 participants to assess the test-retest reliability. Descriptive statistics, Cronbach's α, Intraclass Correlation Coefficient (ICC), and Confirmatory Factor Analysis (CFA) were employed for data analysis. Results The Arabic MIAS scale demonstrated good internal consistency and acceptable test-retest reliability (ICC α = 0.631). A three-factor model emerged (CFI = 0.890, TLI = 0.845, RMSEA = 0.094), including “Outcomes,” “Negative Stereotypes,” and “Recovery,” closely mirroring the original study's structure. one item was excluded from the model since it didn't align with any of the three factors. Conclusion The study contributes a culturally adapted, validated, non-condition-specific tool to gauge public attitudes toward mental health stigma in an Arabic context. It highlights the need for culturally sensitive stigma research and interventions and underscores the importance of improving such tools for cross-cultural applicability and comparability.
Application of the GIS-based two-step floating catchment area method in measurement of spatial accessibility to hospitals in Beijing

It is the traditional methods to use administrative boundaries such as cities as the basic spatial units for calculating sickbed to population ratios and measuring spatial accessibility to hospitals based on these ratios.Such approaches have been criticized for their inability to account for either the spatial variations of population demand and hospital supply within those boundaries or for population-hospital interactions across them.The floating catchment area(FCA)method addresses the internal distribution problem by driving population data from a smaller unit,the census tract.The potential cross border patient-hospital interaction is taken into consideration.The case study of spatial accessibility to hospitals is done in Beijing,which reveals some very importance results.
Comparative Evaluation of the Antimicrobial Efficacy of Sodium Hypochlorite, Silver Nanoparticles, and Zinc Nanoparticles against Candidal Biofilm: An In Vitro Study

: The aim of the present investigation was to evaluate and compare the antifungal activity of sodium hypochlorite (NaOCl), silver nanoparticles (Ag-NP), and zinc nanoparticles (ZnO-NP) against candidal bioﬁlms. Twenty-two single-rooted premolars were decoronated to a root length of 12 mm. Shaping of the canals was done with ProTaper size F2 ﬁles. The specimens were inserted into vials containing 2 mL of the Sabouraud broth and then incubated for 14 days. From n = 22, one sample was subject to SEM evaluation, and from one more sample, dentinal shavings were taken on a Sabouraud dextrose agar plate to conﬁrm the presence of candidal bioﬁlms. The remaining 20 samples were divided ( n = 5) and irrigated as follows. Group 1: saline; Group 2: 5.25% NaOCl; Group 3: 0.02% Ag-NPs; Group 4: 0.02% Zn-NPs. The CFUs (colony forming units) were determined per group. SEM imaging of one sample per group was undertaken to correlate the microbiological results. Statistical analysis was conducted using Kruskal–Wallis, with p < 0.05 kept as the signiﬁcant level. NaOCl reduced the colony counts to a maximum, which was of statistical signiﬁcance, followed by Ag-NP and Zn-NP. Saline showed the least antimicrobial efﬁcacy. NaOCl was the most effective irrigant against candidal bioﬁlms. Ag-NPs and ZnO-NPs reduced the fungal load but failed to eradicate the bioﬁlm completely.
Diapause decision in the small tortoiseshell butterfly, Aglais urticae

Insects in temperate areas spend the inhospitable winter conditions in a resting stage known as diapause. In species that diapause in the larval or pupal stage, the decision whether to diapause or develop directly is customarily taken during the late instars, with long days (i.e., long light phases) and high temperatures promoting direct development. Among butterflies that overwinter as adults, data are rare and variable, but imply that the larval daylength conditions can affect the pathway decision. We studied the small tortoiseshell, Aglais urticae L. (Lepidoptera: Nymphalidae, Nymphalini), which is partially bivoltine from Central Scandinavia and southwards, and tested whether the pathway decision is taken in the larval or adult stage. We reared larvae under long‐day (L22:D2) or short‐day (L12:D12) photoperiods, and recorded the pathway taken by the eclosing adults by scoring their propensity to mate and produce eggs. We also tested whether the larval photoperiod influenced adult ability to diapause by assessing adult survival. The results clearly indicate that (1) there is no detectable effect of larval photoperiod treatment on the pathway decision taken by adults whether to enter diapause or to develop directly, (2) some individuals are obligately univoltine and insensitive to photoperiod during adulthood, whereas (3) other individuals can facultatively enter diapause or direct development, depending on the photoperiod experienced after adult eclosion.
Facial Expression Recognition Based on Affinity Loss and Improved Inception-ResNet-v2

Facial expressions serve as an important channel for humans to communicate emotions, conveying a wide range of emotional expressions that are significant for machines to comprehend human emotions. In order to enhance the effectiveness of facial expression feature extraction and improve the accuracy of facial expression recognition, this paper proposes two approaches to optimize facial expression recognition, involving improving the model structure and enhancing the loss function. The existing model, Inception-ResNet-v2, is modified by replacing its final Average Pooling layer with CBAM and ARM modules. Experimental results on the RAFDB and SFEW 2.0 datasets indicate that this improvement can increase the model's accuracy by 4.36% and 7.66%. Additionally, Affinity Loss is introduced to calculate the output loss of the Inception-ResNet-v2 component in the model, and CrossEntropy Loss is used to calculate the overall output loss of the model. These two losses are combined to form the final loss function of the model. Experimental results show that the loss function improvement can increase the accuracy of the model by 0.43% and 3.94%.
Deep Learning for Plant Classification and Content-Based Image Retrieval

Abstract The main goal of the present research is to classify images of plants to species with deep learning. We used convolutional neural network architectures for feature learning and fully connected layers with logsoftmax output for classification. Pretrained models on ImageNet were used, and transfer learning was applied. In the current research image sets published in the scope of the PlantCLEF 2015 challenge were used. The proposed system surpasses the results of all top competitors of the challenge by 8% and 7% at observation and image levels, respectively. Our secondary goal was to satisfy the users’ needs in content-based image retrieval to give relevant hits during species search task. We optimized the length of the returned lists in order to maximize MAP (Mean Average Precision), which is critical to the performance of image retrieval. Thus, we achieved more than 50% improvement of MAP in the test set compared to the baseline.
Design of Adiabatic Quantum-Flux-Parametron Register Files Using a Top-Down Design Flow

Offering extremely high energy-efficiency, the adiabatic quantum-flux-parametron (AQFP) logic family is considered a promising candidate as a future low-power technology for building high-performance computing systems. In this paper, we provide the design of M-word × N-bit dual-port register files as an essential component of an AQFP microprocessor. This design consists of one decoder for data writing, two multiplexers for read out, and an array of registers as storage elements. In order to reduce the design difficulties and improve the design robustness, we employed a top-down AQFP very-large-scale integration (VLSI) design flow to implement this register file. The proposed design flow is composed of high-level synthesis, a specialized AQFP interpreter, a genetic-algorithm-based routing approach, and hardware-description-language-based back-end verification. As a case study, we designed and fabricated an 8-to-1 4-bit multiplexer used as the component circuit of the designed register file. In low-speed test, we confirmed the correct operations across all channels of the multiplexer.
Bicoastal Spontaneous Coronary Artery Dissection: A Therapeutic Dilemma

Due to the potential for severe maternal morbidity and even mortality, pregnancy-associated spontaneous coronary artery dissection (P-SCAD) often presents as a clinical conundrum. While current recommendations encourage coronary interventions when medically indicated even during pregnancy, the hesitation still understandably exists. Meanwhile, given the rarity of the condition, the guidelines for management are still based on expert consensus. We present a case of P-SCAD in a 38-year-old woman with initial presentation at 28 weeks' gestation and recurrence at 9 days postpartum. A unique complication of this case is its transcontinental nature: the initial event occurred while the patient was on vacation across the country from her home. Questions arose not only with regard to her immediate management and care but also when she would be able to travel and how her complex care would be continued cross-country. This case raised important questions regarding the antepartum management of acute coronary syndrome (ACS). It also highlights the importance of multidisciplinary care, especially with a cardio-obstetrics team, in the management of P-SCAD and emphasizes the role for universal screening for cardiac diseases in pregnancy.
Exploring g-C3N4 as a green additive for biodegradable poly(butylene adipate-co-terephthalate) film with enhanced UV shielding and mechanical properties

Typical small organic dyes exhibit excellent UV absorption capabilities and are commonly used as additives to shield plastic films from photoaging. However, their tendency to decompose easily and migrate rapidly within a polymer matrix limits their service life. Herein we prepared g-C3N4 nanosheets and fabricated g-C3N4/PBAT films to investigate the effects of g-C3N4 on UV shielding and plasticizing of a biodegradable PBAT film. Photophysical characterizations revealed that an improved UV light barrier performance was achieved on g-C3N4/PBAT films compared to pure PBAT. Furthermore, the photoaging results show that g-C3N4 can stably exist in the PBAT matrix, enabling the aged g-C3N4/PBAT films to maintain their effective UV shielding ability, whereas the aged benzophenone (UV-0)/PBAT film shows a substantial decrease in UV light absorption due to the photodecomposition of UV-0. Additionally, g-C3N4 acted as a reinforcing material for PBAT, as evidenced by the approximately 1.5-fold increase in longitudinal tear strength and 1.6-fold increase in tensile strength of g-C3N4/PBAT films compared to pure PBAT. Remarkably, even after 100 hours of photoaging, the aged g-C3N4/PBAT films retained their favorable mechanical properties. This study highlights the potential of g-C3N4 as a new type of UV shield additive for future practical applications in protecting biodegradable plastic from photoaging.