Miracle-dz/UniFAR-FTUs huggingface dataset:
How Deep Learning in Antiviral Molecular Profiling Identified Anti-SARS-CoV-2 Inhibitors

The integration of artificial intelligence (AI) into drug discovery has markedly advanced the search for effective therapeutics. In our study, we employed a comprehensive computational–experimental approach to identify potential anti-SARS-CoV-2 compounds. We developed a predictive model to assess the activities of compounds based on their structural features. This model screened a library of approximately 700,000 compounds, culminating in the selection of the top 100 candidates for experimental validation. In vitro assays on human intestinal epithelial cells (Caco-2) revealed that 19 of these compounds exhibited inhibitory activity. Notably, eight compounds demonstrated dose-dependent activity in Vero cell lines, with half-maximal effective concentration (EC50) values ranging from 1 μM to 7 μM. Furthermore, we utilized a clustering approach to pinpoint potential nucleoside analog inhibitors, leading to the discovery of two promising candidates: azathioprine and its metabolite, thioinosinic acid. Both compounds showed in vitro activity against SARS-CoV-2, with thioinosinic acid also significantly reducing viral loads in mouse lungs. These findings underscore the utility of AI in accelerating drug discovery processes.
A Persistent Oral Pyogenic Granuloma: A Case Report With Review of Literature

Pyogenic granuloma is a non-neoplastic inflammatory reactive hyperplasia commonly found on keratinized tissues caused by different factors such as hormonal imbalance. Pyogenic granuloma has a wide age range and is frequently found in females in the second to third decade. Pyogenic granuloma developed in pregnancy is commonly known as pregnancy tumor. The standard treatment approach is surgical excision of the lesion. In the case report, a 42-year-old female presented with a persistent oral lesion in the left anterior mandible. The lesion first appeared during pregnancy and remained in the oral cavity for two years after delivery. Clinical, radiographic, and histopathological examination revealed a definitive diagnosis of pyogenic granuloma.
Fed Transparency and Policy Expectation Errors: A Text Analysis Approach

This paper seeks to estimate the extent to which market-implied policy expectations could be improved with further information disclosure from the FOMC. Using text analysis methods based on large language models, we show that if FOMC meeting materials with five-year lagged release dates—like meeting transcripts and Tealbooks—were accessible to the public in real time, market policy expectations could substantially improve forecasting accuracy. Most of this improvement occurs during easing cycles. For instance, at the six-month forecasting horizon, the market could have predicted as much as 125 basis points of additional easing during the 2001 and 2008 recessions, equivalent to a 40-50 percent reduction in mean squared error. This potential forecasting improvement appears to be related to incomplete information about the Fed’s reaction function, particularly with respect to financial stability concerns in 2008. In contrast, having enhanced access to meeting materials would not have improved the market’s policy rate forecasting during tightening cycles.
A gaming app developed for vestibular rehabilitation improves the accuracy of performance and engagement with exercises

Introduction Vestibular hypofunction is associated with dizziness, imbalance, and blurred vision with head movement. Vestibular rehabilitation is the gold standard recommendation to decrease symptoms and improve postural stability. The Clinical Practice Guidelines for vestibular hypofunction suggest home exercises 3–5 times daily, but patient adherence is a problem, with compliance rates often below 50%. Methods An app was developed to increase engagement with home exercises by providing exercises as games. This study compared the accuracy of exercise performance in a one-time session using the app versus no-app and gathered participant feedback on using the app for vestibulo-ocular reflex (VOR) and balance exercises. The app was tested with 40 adults (20 women), mean age of 67 ± 5.7 years, with symptomatic unilateral or bilateral vestibular hypofunction. Participants completed VOR exercises in pitch and yaw planes, weight-shift, and single-leg balance exercises using an inertial motion unit to move the character on the tablet screen. Participants were randomly assigned to begin the exercises with or without the app. Results Results show that during VOR exercises, participants achieved the prescribed frequency of head motion for the yaw plane (p ≤ 0.001) and reduced variability of head movement frequency in both the yaw (p ≤ 0.001) and pitch plane (p ≤ 0.001) in the app compared to the no-app condition. During weight-shifting exercises, a larger range of body motion was noted in the anteroposterior and mediolateral directions in the app compared to the no-app condition (p < 0.05). During single-leg balance exercises, pelvic motion was lower in the app versus no-app condition (p = 0.02). Participants modified their exercise performance and corrected their mistakes to a greater extent when they used the app during the VOR exercises. Participants agreed that they felt motivated while playing the games (97%) and felt motivated by the trophies (92%). They agreed that the app would help them perform the exercises at home (95%), improve their rehab performance (95%) and that it was fun to do the exercises using the app (93%). Discussion The results of this study show that technology that is interactive and provides feedback can be used to increase accuracy and engagement with exercises.
Variabilidad genética del germoplasma de algunas especies de los géneros Carica y Vasconcellea (Caricaceae) con el uso de marcadores RAPD

The papaya is an important crop in Venezuela. The conservation of genotypes in germplasm collections requires good management of genetic diversity. This aspect that can be achieved efficiently with molecular techniques. In this paper, molecular characterization of 73 accessions of Caricaceae preserved in the field and collected from the western and eastern central areas of the country was carried out through RAPD technique. The assessment was studied using molecular cluster analysis (Ward) based on the Jaccard dissimilarity distance and principal coordinate analysis. Using six primers combinations, 90 bands with a 100% of polymorphism were obtained. The primers OPC2, OPC5, and OPA9 managed to establish high levels of variability between the two genera, showing the formation of clearly separated groups. The principal coordinate analisys supports the results obtained from cluster analysis and clearly discriminate Carica and Vasconcellea. We also found unique banding patterns, which allow to differentiate the two genera studied. The results showed the existence of high genetic diversity among Caricacea accessions.
Pelatihan Penelitian Tindakan Kelas kepada Para Pendidik MTs dan MA

This Class Action Research Workshop (PTK) aims to train educators of MTs N 4 Central Maluku and MA N 3 Central Maluku to reflect on the results obtained from the learning process that has been carried out previously in the form of scientific papers. This devotion to educators uses the method of training and workshops. The participants in this activity were educators at MTs N 4 Central Maluku and MA N 3 Central Maluku which totaled 50 people. The result of this training and workshop is that participants have been able to create a class action research design and know-how to carry out the process and report on class action research.
A perspective on the role of physiological stresses in cancer, diabetes and cognitive disease as environmental diseases

With rapid industrialization, urbanization, and climate change, the impact of environmental factors on human health is becoming increasingly evident and understanding the complex mechanisms involved is vital from a healthcare perspective. Nevertheless, the relationship between physiological stress resulting from environmental stressors and environmental disease is complex and not well understood. Chronic exposure to environmental stressors, such as air and water contaminants, pesticides, and toxic metals, has been recognized as a potent elicitor of physiological responses ranging from systemic inflammation to immune system dysregulation causing or progressing environmental diseases. Conversely, physiological stress can exacerbate susceptibility to environmental diseases. Stress-induced alterations in immune function and hormonal balance may impair the ability to detoxify harmful substances and combat pathogens. Additionally, prolonged stress can impact lifestyle choices, leading to harmful behaviors. Understanding the link between physiological stress and environmental disease requires a systematic, multidisciplinary approach. Addressing this complex relationship necessitates the establishment of a global research network. This perspective discusses the intricate interplay between physiological stress and environmental disease, focusing on common environmental diseases, cancer, diabetes, and cognitive degeneration. Furthermore, we highlight the intricate and reciprocal nature of the connection between physiological stress and these environmental diseases giving a perspective on the current state of knowledge as well as identifying where further information is necessary. Recognizing the role of physiological stress in environmental health outcomes will aid in the development of comprehensive strategies to safeguard public health and promote ecological balance.
Frequency-stabilized 1550-nm single-frequency all-fiber pulsed laser for coherent Doppler lidar

In this work, an all-fiber high-power cascaded master-oscillator power amplifier (MOPA) system emitting frequency-stabilized single-frequency laser pulses at 1550 nm is presented. An external cavity laser diode with a narrow linewidth of 5 kHz is used as the seed source. Owing to the use of frequency locking components and a matched closed-loop system, the seed source has stable output frequency and power. The on-off extinction ratio of 80 dB is achieved by using digital and analog acousto-optic modulators in series. Then the seed laser is amplified by a three-stage cascaded all-fiber amplifier consisting of two pre-amplifiers and one main amplifier. The MOPA system delivers 200-ns laser pulses with a peak power of 800 W at a repetition rate of 10 kHz. The output laser has an operating linewidth close to the transform-limited. The polarization-extinction ratio is 20 dB, and the optical signal-to-noise ratio is higher than 45 dB. The monolithic all-fiber Erbium-Ytterbium co-doped pulsed fiber amplifier can be used as the high-energy radar transmitter of compact long-distance coherent Doppler lidar systems.
Automatic Registration of High-Resolution Images Using Local Properties of Features

We propose an automatic image-to-image registration of high-resolution satellite images using local properties and geometric locations of control points to improve the registration accuracy. First, coefficients of global affine transformation between images are extracted using a scale-invariant feature transform (SIFT)-based method, and features of the sensed image are transformed to the reference coordinate system using these coefficients. Then, a spatial distance and orientation difference between features of the reference and sensed images are additionally used to extract a large number of evenly distributed control points. The specified spatial distance is calculated between features of the sensed image that have been transformed to the reference coordinates and features of the reference image. Finally, the spatial distance integrated with Euclidean distances of invariant vectors is employed for local matching. The average orientation differences between control points of the two images are used for outlier elimination. A mapping function model consisting of an affine transformation and piecewise linear functions is applied to the control points for automatic registration of high-resolution images. The proposed method can extract a larger number of spatially well-distributed control points than SIFT-based methods. The registration accuracy for all sites calculated from manually selected checkpoints has acceptable geometric accuracy at the pixel level.
COVID 19 and The Emergence of Virtual Tourism in Indonesia: A Technology Readiness Index Perspective

For a nation, tourism is a significant source of revenue. However, due to travel bans across the nation and abroad, the pandemic Covid-19 outbreak has had a substantial impact on the tourism business. This study aims to analyze the intention of virtual tourism during the post-pandemic using the technology readiness index and the TPB model (theory of planned behavior). Data was collected from 465 tourist users in Indonesia. The data analysis technique used is structure equational model-partial least square (SEM-PLS). The results proved that all TPB constructs, namely attitudes, subjective norms, and perceived behavior control have a significant effect on the intention to use virtual tourism. The results of this study will help virtual tourism service providers and policymakers in planning services and increasing intention to use virtual tourism in the post-pandemic. The results of the study will add to existing knowledge about the literature on virtual tourism during the pandemic and post-pandemic.
Mycotoxigenic Fungi and Mycotoxins Contamination in Fish Feed from selected Retailers and Fish Farms in Southwest States, Nigeria

Mycotoxins are prevalent in fish feeds and feed ingredients resulting in colonization of fungal species. Oral feeding by fish cultured with mycotoxin colonized feed/feed ingredients could result in loss of fish. Therefore, this work was intended to assess the mycotoxigenic fungi and mycotoxins contamination in fish feed from retailers and fish farms in Ibadan (Oyo State,), Akure (Ondo State), Osogbo (Osun State), Ijebu Ode (Ogun State) and Ikorodu (Lagos State), Southwest States, Nigeria using standard methods. A total of 17 samples made up of 5 composite fish feed samples were collected. The moisture content and the pH ranged between 1.45 – 11.85% and 6.77 – 7.64 respectively. The total fungi count ranged between 2.0 x101 – 3.0 x 103 cfu/g. All the samples that had fungal growth were also contaminated with Aflatoxin and Ochratoxin A, 86% contaminated with Zeralenone (ZON) and 43% were contaminated with Deoxynivalenol (DON). The total Aflatoxin, Ochratoxin A, ZON and Deoxynivalenol (DON) in the samples ranged between 0.38 – 41.1 ppb, 0.55 – 40.76 ppb, 30.20 – 140.20 ppb and 27.50 – 230.20 ppb respectively. The levels of mycotoxins contamination were within the maximum permissible limits. The Aspergillus flavus, A. niger, Penicillium chrysogenum and Fusarium chlamydosporium produced aflatoxin, Ochratoxin A, ZON and DON which ranged from 10.20 – 15.70 ppb, 0.05 – 0.2 ppb, 30.20 – 35.20 ppb and 22.0 – 37.50 ppb respectively. The presence of mycotoxin-producing fungi and mycotoxin levels in the fish feed samples is of public health concern and proper attention is needed for the control of quality of fish feed for fish consumption which in turn affect humans.
Food for Thoughts: The District Approach to Rural Areas Development—A Case Study in Campania

The district approach has become increasingly important for the analysis and planning of local agro-food systems. In this paper, we analyse the role and potential of Italian food districts, spaces of governance where a plurality of actors share practices and knowledge and jointly elaborate local development strategies. After a first section aimed at illustrating the theoretical background and the regulatory framework, we examine the food districts of Benevento, an inland Province of the Campania Region, in order to: (i) reconstruct the characteristics, actors and strategies of these local food systems and critically discuss the criteria used for their creation and spatialisation; (ii) investigate the contribution that districts can make to the goals of social cohesion and sustainability. As for the methods, we use a mixed approach that integrates documentary analysis and geostatistical information with a qualitative survey (based on semi-structured interviews and questionnaires) to explore the governance model adopted and the degree of participation and interest generated among stakeholders. We conclude that the district approach can, under certain conditions, be a key tool for territorial enhancement, especially for those internal areas marked by depopulation and economic decline.
EMPLOYEE MEDICAL LEAVE IN MIS-TLIF OR OPEN-TLIF IN ELECTIVE SURGERY IN BRAZIL

ABSTRACT Objective: To compare the effects of the two techniques (minimally invasive transforaminal inter somatic lumbar fusion [MIS-TLIF] and open transforaminal lumbar interbody fusion [TLIF]) in the treatment of lumbar degenerative disease. Methods: This is a retrospective cohort study. The outcomes investigated were: intensity of low back pain, functional disability of the lumbar spine, discharge time, return to work, lumbar lordosis angle, cost of individual sources due to the period of work-related absenteeism, and societal perspective costs in the treatment of low-grade lumbar degenerative disease. The data was obtained through the analysis of data contained in the electronic medical records of 100 patients who underwent one of the two surgical techniques from January 2019 to May 2021 in a High Complexity Orthopedic Surgery. The outcomes investigated were set 12 months postoperatively. Results: No statistical differences were observed in terms of sex, age, employment, and diagnosis grade between groups. MIS-TLIF was associated with significant improvement in the intensity of low back pain, functional disability of the lumbar spine, discharge time, return to work, cost of individual sources due to the period of work-related absenteeism, and societal perspective costs. The variation in the lumbar lordosis angle of the MIS-TLIF group was smaller when compared to TLIF. Conclusion: Considering that MIS-TLIF was achieved with satisfactory short-term improvements, it may be used as an alternative strategy to TLIF to promote clinical and economical improvements in treating lumbar degenerative disease. Level of Evidence III; Comparative Retrospective Study.
Root system development in Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) on fertile sites

The paper analyses the root system development in the artificially established stands of Douglas fir aged 10, 20, 30, 60 and 80 years on aerated soils (Cambisols) without skeleton. On these sites, the Douglas fir develops a uniform root system of substitute taproots and anchors, which has great predispositions to assure the good mechanical stability of trees as well as its resistance to sudden changes in upper soil horizons. Several anchors growing in positive geotropic direction shoot from the stem base, several slant anchors shooting from the side of the stem base turn into the positive geotropic direction of growth. In humus horizons, horizontal skeletal roots shoot from the stem base, which turn into lower soil horizons in an "elbow-pipe" manner and from which shoot positively geotropically growing anchors. Trees of Douglas fir develop this type of root system already at an age of twenty years.
El Nuevo Servicio Público (NSP), un paradigma para la construcción de nuevos modelos metodológicos para el análisis de la administración pública

En los ultimos treinta anos, las administraciones publicas se han visto obligadas a hacer frente a importantes desafios, de caracter externo e interno, que han contribuido a perfilar no solo su propia arquitectura sino, y sobre todo, cuales deben ser los principios que deben guiar sus acciones. Esta situacion ha abierto un proceso de reformas en las administraciones publicas, fundamentalmente de los paises desarrollados, en las que el principal elemento a debate es el papel del ciudadano y las implicaciones y repercusiones que dicho papel tiene en terminos de gestion, prestacion y evaluacion de los servicios publicos. Un debate que se ha vertebrado en torno a dos grandes perspectivas teoricas, el New Public Management y el New Public Service . http://dx.doi. org/10.15304/rips.14. 2.2727
Performance of mode division multiplexing system based on generalized polarization transformation with channel estimation

Research to mode division multiplexing (MDM) systems based on few-mode or multi-mode fibers is one of the hot spots to achieve the demand for rapidly increased global user data traffic. Polar code, with a very low encoding and decoding complexity to achieve Shannon Limit, is worthwhile to apply to MDM systems into the research. Besides, the acquisition of channel state information (CSI) is of great significance for equalization and detection of coherent receivers. However, CSI is considered to be fully known at receiver in most existing research and few research discusses impact of imperfect CSI induced by channel estimation on MDM systems.This paper investigates channel estimation problem in a polar-code-encoded fiber-optic MDM (P-PC-MDM) system, and studies effect on system performance with channel estimation under impact of mode-dependent loss (MDL) using different Multiple Input Multiple Output (MIMO) detection algorithms: Maximum Likelihood (ML), Minimum Mean Square Error (MMSE) and the improved Alternating Direction Method of multipliers based Infinity-Norm (ADMIN). Simulation results demonstrate that P-PC-MDM system achieves a low bit error rate in the range of 2-3 dB SNR faster than MDM system of more than 10 dB. Besides, the addition of channel estimation error acceptably degrades system performance, and the improved ADMIN detection algorithm has a better bit error rate performance than MMSE by 0.5-2dB, and computational complexity is 13 times lower than ML.Therefore, the P-PC-MDM system is proved to be feasible, and the improved ADMIN detection algorithm can represent a good candidate in P-PC-MDM system with channel estimation and MDL.
3D-printed stretchable conductive polymer composites with nano-carbon fillers for multifunctional applications

Carbon nanomaterials are widely used as substrate materials to prepare stretchable conductive composites due to their good stability, strong conductivity, and low price. In response to the demand for optimizing the performance of composite materials, various manufacturing methods for preparing carbon nanomaterial-reinforced stretchable conductive composite materials have emerged. Among them, 3D printing technology has the advantages of flexible processes and excellent product performance and has received widespread attention. This review focuses on the research progress of adding carbon nanomaterials as reinforcing phases to polymer materials using 3D printing technology. The application prospects of conductive polymer composites based on nanocarbon fillers in aerospace, energy storage, biomedicine, and other fields are prospected.
Power System Transient Stability Assessment Using Convolutional Neural Network and Saliency Map

This study proposes a model for transient stability assessment, which is a convolutional neural network model combined with a saliency map (S–CNN model). The convolutional neural network model is trained on dynamic data acquired through the data measurement devices of a power system. Applying the saliency map to the acquired dynamic data visually highlights the critical aspects of transient stability assessment. This reduces data training time by eliminating unnecessary aspects during the convolutional neural network model training, thus improving training efficiency. As a result, the proposed model can achieve high performance in transient stability assessment. The dynamic data are acquired by configuring benchmark models, IEEE 39 and 118 bus systems, through MATLAB/Simulink and performing time-domain simulations. Based on the acquired dynamic data, the performance of the proposed model is verified through a confusion matrix. Furthermore, an analysis of the effects of noise interference on the performance is conducted.