Miracle-dz/UniFAR-FTUs huggingface dataset:
Geomorphologic land classification map of the Mekong Delta utilizing JERS‐1 SAR images

Flood damage in the Mekong Delta is currently influenced by population growth and the expansion of farmland. The objectives of this study are to describe a method for visualizing flooded areas, classify the geomorphology of the area, and develop a flood‐risk map of the Mekong Delta using Japanese earth resources satellite‐1 synthetic aperture radar (JERS‐1 SAR) data. JERS‐1 SAR data‐processing involves geo‐referencing, image‐noise reduction, re‐sampling, and calculation of the normalized radar cross‐section (NRCS) using TNTmips. Furthermore, we visualized the flooded area of the Mekong River Delta and discussed flood dynamics. The relation between NRCS and micro‐geomorphology was clarified using the geomorphologic land classification map. After evaluating flood risk, we developed a flood‐risk map to visualize the evaluated risk. The differences in NRCS derived from JERS‐1 SAR data were calculated before and after flooding; visualization of the flooded area revealed that the difference between the two datasets was less than − 1·8 (dB). This value was determined from field investigations. We then compiled a map of the flooded area. The relation between NRCS and geomorphology was clarified based on the geomorphologic land classification map. Copyright © 2008 John Wiley & Sons, Ltd.
Variations in mango fruit quality in response to management factors on a pre- and post-harvest continuum

Summary Fruit quality is a key factor – beginning with the producer, continuing through the supply chain, and ending with the consumer. It is described by multiple indicators and varies during the growth and ripening of the fruit. This study focused on two main aspects of Cogshall mango (Mangifera indica L.) quality: (i) the physical properties of the fruit with fresh mass (FM), pulp dry matter content (DMC), and pulp coloration; and (ii) the chemical properties with pulp sugar content and pulp acidity. These indicators were monitored on on-tree fruit, from about 60 days after bloom until full maturity. The same indicators were also monitored on fruit stored in cold storage rooms during ripening. The effects of leaf-to-fruit ratio (manageable by pruning or fruit thinning), maturity stage of fruit at harvest (manageable by harvest date), and storage temperature on the kinetics of quality traits of on-tree and stored fruit were assessed. In addition, a change-point analysis was applied to the sweetness index kinetics (used as a proxy of fruit ripening) to study fruit ripening induction. The leaf-to-fruit ratio mainly influenced fruit growth in terms of FM and pulp DMC, whereas it had less impact on the evolution of fruit chemical properties. The maturity stage of the fruit at harvest was a key factor in determining the potential quality at the ripe stage. Ripening occurs naturally at the mature green stage for on-tree fruit, but ripening at an earlier stage can be induced by harvesting the fruit. During the ripening phase, a low leaf-to-fruit ratio and a cold storage temperature tended to slow down the daily rate of sweetness increase. The use of cold temperatures during storage slowed down starch degradation and sucrose accumulation, while almost stopping the variation in fruit coloration and acidity.
Effect of Evidence-Based Practice Program on Internship Students' Performance at the Maternity Nursing Departments

: Background: The clinical internship area is the best place to build nursing student knowledge. It is crucial for nursing students' education to have the chance to translate theory into practice. Evidence-based practice is an efficient strategy to improve the quality of obstetric and maternity care. Aim : To investigate the effect of the Evidence-Based Practice Program on Internship Students' Performance at the Maternity Nursing Departments. Setting: This study was conducted in the maternity departments and delivery rooms in the following hospitals, Benha University Hospital, Ministry of Health Hospital, and Benha Teaching Hospital Qaliubiya Governorate, Egypt. Study Design: A quasi-experimental (one group pre-test post-test) design . Sample size: 156 internship student nurses. Sample type: Convenience sample. Tools: Structured interviewing questionnaire; an observational checklist ; the standard instrument used to assess barriers that prevent internship student nurses from achieving their competent clinical training and satisfaction tool. Results : A statistically significant improvement between the performance of the internship students towards the first, second and third stages of childbirth as well as the care of newborns and mothers after birth before and after the implementation of the program. Also, the participants were satisfied with the evidence-based program in the delivery and maternity departments. It was observed from the breast study that a positive correlation between internship students' performance in the maternity and delivery room at pre-, immediate and eight weeks post-intervention. Moreover, there is a strong positive relationship between the performance of the internship students in the delivery and maternity departments after implementing the program, their satisfaction with the program, and the barriers they encountered in the training place. Conclusion: The program achieved its desired results as Internship nurses' students „clinical performance at different stages of labor in the delivery room and maternity departments will be improved after the implementation of the evidence-based practical program. Recommendations : The Evidence-Based program to improve the internship students' clinical performance should be accessible and persistently provided to the internship student nurses in all health settings to avoid erroneous, harmful, and ineffective clinical practices as recommended by WHO.
Investigation of Key Parameters for Syringe-printing of Nano-silver Paste

Additive manufacturing (AM) techniques, also known as 3D printing, have been embedded into electronic components used for power modules as they can meet complex design requirements with less material waste and shorter lead-time. However, the corresponding manufactural considerations need to be investigated to ensure good printing quality. This paper is a parametric study of previous research [1], specifically focusing on the key parameters for the syringe-printing method that has been used to print a single-layer planar transformer winding implemented on a 10kW DC-DC power converter. A series of key parameters such as kick, trim length, feed rate, and pass spacing are defined, followed by inquiring into the printable regarding the width of a single trace and the gap/printing spacing between two traces. The results indicate that the targeted trace width and gap are subjected to certain errors, resulting in an imprecise actual print, that cannot be employed when designing a CAD model. Instead, a set of recommended values corresponding to the targeted values are acquired. Linear relations between the actual values and targeted values are obtained, which provides convenience for further design when considering using syringe-printing as an AM technique to print nano-silver traces.
Silicon versus Superbug: Assessing Machine Learning’s Role in the Fight against Antimicrobial Resistance

In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance (AMR) if the necessary precautions were not taken diligently. As the growing threat of AMR continues to loom over humanity, we must look forward to alternative diagnostic tools and preventive measures to thwart looming economic collapse and untold mortality worldwide. The integration of machine learning (ML) methodologies within the framework of such tools/pipelines presents a promising avenue, offering unprecedented insights into the underlying mechanisms of resistance and enabling the development of more targeted and effective treatments. This paper explores the applications of ML in predicting and understanding AMR, highlighting its potential in revolutionizing healthcare practices. From the utilization of supervised-learning approaches to analyze genetic signatures of antibiotic resistance to the development of tools and databases, such as the Comprehensive Antibiotic Resistance Database (CARD), ML is actively shaping the future of AMR research. However, the successful implementation of ML in this domain is not without challenges. The dependence on high-quality data, the risk of overfitting, model selection, and potential bias in training data are issues that must be systematically addressed. Despite these challenges, the synergy between ML and biomedical research shows great promise in combating the growing menace of antibiotic resistance.
China frente a la crisis económica. Debilidades y fortalezas de su sistema financiero

En la decada de 1980, China realizo una reforma financiera que le permitio al Banco del Pueblo pasar de un sistema bancario centralizado a un sistema de instituciones financieras definidas y asi impulsar el crecimiento y desarrollo economico a traves de bancos de desarrollo y banca comercial. Esta reforma, que consintio la participacion de empresas privadas y extranjeras, ha sido regulada por el Banco Central sin menoscabo de la soberania monetaria. No obstante que el proceso de desregulacion financiera provoco carteras vencidas que hubieran significado una crisis bancaria en una economia de mercado, las instituciones financieras fueron capitalizadas para volverse instituciones financieras sanas. Hoy, la participacion de China en el paquete de estimulo a raiz de la crisis economica mundial siembra dudas en torno a la solidez de sus instituciones financieras.
Assessment of Office-Based Probing with Dacryoendoscopy for Treatment of Congenital Nasolacrimal Duct Obstruction: A Retrospective Study

We aimed to evaluate the safety and efficacy of office-based probing with dacryoendoscopy under local anesthesia for congenital nasolacrimal duct obstruction (CNLDO). This single-institution study retrospectively reviewed data on 72 eyes of 64 consecutive children (38 boys, 43 eyes; 26 girls, 29 eyes), aged between 6 and 17 (mean age: 10.0 ± 2.7) months with suspected CNLDO, from July 2016 to February 2022. These patients underwent probing with dacryoendoscopy under local anesthesia. CNLDO was diagnosed clinically based on the presence of epiphora and sticky eyes due to mucous discharge commencing within the first 3 months of life, increased tear meniscus height, and fluorescein dye disappearance test results. A total of 63 of the 72 eyes had narrowly defined CNLDO, and 9 eyes had other types of obstructions. The intervention success rate was 100% (63/63 eyes) for patients with typical CNLDO and 97.2% (70/72 eyes) for the entire study cohort. Moreover, CNLDO was classified into five types based on the features of the distal end of the nasolacrimal duct. Probing with dacryoendoscopy is safe and yields a high success rate in pediatric patients with CNLDO. This is the first study to assess the safety and efficacy of probing with dacryoendoscopy under local anesthesia in pediatric patients with CNLDO.
Sociopsychological principles for intercultural interventions to reduce intergroup bias in school

ABSTRACT The role of educators includes promoting cultural competence and cultural sensitivity in order to create an inclusive school climate, and for this role, they need multicultural knowledge and skills. This article presents theory-based and evidence-based principles, adopted from social psychology, to reduce intergroup biases and to improve intergroup attitudes. These principles are proposed here for use in intercultural educational intervention programmes with the aim of promoting cultural competence and cultural sensitivity in schools. Awareness of these principles and their implementation in educational programmes can contribute to acquaintance with the ‘other’, heterogeneous perception of groups, identifying similarities between cultures, addressing stereotypes, reducing intergroup biases, and enhancing intergroup attraction. All of these have the capability to contribute to an optimal and inclusive educational climate in schools and in society.
The Man-made Areas Segmentation Based on Region Growing Method Using Local Fractal Dimension

This paper presents a method using the modified region growing method and threshold filter process for the segmentation of man-made areas. The modified region growing method integrates local fractal dimension and region merging process into the traditional region growing algorithm. The proposed 5 5 to 3 3 method of estimating the local fractal dimension is more stable and accurate besides exact extraction of the local information of images. It is discussed that the region merging process is significant to segment the target areas. Finally, the threshold filter method is used to realize the segmentation of man-made areas and the effectiveness of the proposed method is confirmed through computer simulations.
The combined use of radio frequency‐electromagnetic surveys and chemical and biological analyses to study the role of groundwater discharge into the Guadiana estuary

This paper intends to show how the radio frequency‐electromagnetic (RF‐EM) method can be successfully used in coastal wetlands, onshore and in shallow water. It characterizes and reveals geological and hydrogeological singularities that are often hidden by recent sediments and allows target sampling and consequent detection of ecological particularities. RF‐EM methods have traditionally been used to detect the presence of groundwater or the existence of subsurface contamination plumes. The great majority of such studies have been conducted on land and to a lesser extent on freshwater lakes but rarely in coastal waters. Previous research in Portugal has shown that despite the attenuation effect of salt water, very valuable information can be obtained with the use of electromagnetic methods, wherever resistivity contrasts exist. In the current case study, RF‐EM surveys were carried out in the Estuary of the Guadiana River, in order to understand the importance of geological structures on the formation of the wetland and the influence of groundwater discharge on the existing ecosystem. Structures detected on land were also identified in the tidal channels. Freshwater fault springs were localized; their biota is characterized and the nutrients analysed. The results showed a clear increase in nitrate and silica concentration near the submarine springs, with impact on the planktonic communities, which is most evident in chlorophyll a. This is especially relevant during the end of summer and autumn when a potential limitation of these nutrients exists that can increase the occurrence of toxic blooms in the salt marshes and lower estuary. Copyright © 2012 John Wiley & Sons, Ltd.
Analysis of Growth Trajectories and Verification of Related SNPs in Populus deltoides

As an important timber genus with high economic and ecological values, Populus is a model for dissecting the genetic architecture of growth traits in perennial forest trees. However, the genetic mechanisms of longitudinal growth traits in poplar remain incompletely understood. In this study, we conducted longitudinal genetic analysis of height and diameter at breast height (DBH) in eleven-year poplar clones using ultra-deep sequencing datasets. We compared four S-shaped growth models, including asymptotic, Gompertz, logistic, and Richard, on eleven-year height and DBH records in terms of five metrics. We constructed the best-fitting growth model (Richard) and determined poplar ontogenetic stages by virtue of growth curve fitting and likelihood ratio testing. This study provides some scientific clues for temporal variation of longitudinal growth traits in Populus species.
Committed Global Warming Risks Triggering Multiple Climate Tipping Points

Many scenarios for limiting global warming to 1.5°C assume planetary‐scale carbon dioxide removal sufficient to exceed anthropogenic emissions, resulting in radiative forcing falling and temperatures stabilizing. However, such removal technology may prove unfeasible for technical, environmental, political, or economic reasons, resulting in continuing greenhouse gas emissions from hard‐to‐mitigate sectors. This may lead to constant concentration scenarios, where net anthropogenic emissions remain non‐zero but small, and are roughly balanced by natural carbon sinks. Such a situation would keep atmospheric radiative forcing roughly constant. Fixed radiative forcing creates an equilibrium “committed” warming, captured in the concept of “equilibrium climate sensitivity. ” This scenario is rarely analyzed as a potential extension to transient climate scenarios. Here, we aim to understand the planetary response to such fixed concentration commitments, with an emphasis on assessing the resulting likelihood of exceeding temperature thresholds that trigger climate tipping points. We explore transients followed by respective equilibrium committed warming initiated under low to high emission scenarios. We find that the likelihood of crossing the 1.5°C threshold and the 2.0°C threshold is 83% and 55%, respectively, if today's radiative forcing is maintained until achieving equilibrium global warming. Under the scenario that best matches current national commitments (RCP4.5), we estimate that in the transient stage, two tipping points will be crossed. If radiative forcing is then held fixed after the year 2100, a further six tipping point thresholds are crossed. Achieving a trajectory similar to RCP2.6 requires reaching net‐zero emissions rapidly, which would greatly reduce the likelihood of tipping events.
Dorsal subthalamic nucleus targeting in deep brain stimulation: microelectrode recording versus 7-Tesla connectivity

Abstract Connectivity-derived 7-Tesla MRI segmentation and intraoperative microelectrode recording can both assist subthalamic nucleus targeting for deep brain stimulation in Parkinson’s disease. It remains unclear whether deep brain stimulation electrodes placed in the 7-Tesla MRI segmented subdivision with predominant projections to cortical motor areas (hyperdirect pathway) achieve superior motor improvement and whether microelectrode recording can accurately distinguish the motor subdivision. In 25 patients with Parkinson’s disease, deep brain stimulation electrodes were evaluated for being inside or outside the predominantly motor-connected subthalamic nucleus (motor-connected subthalamic nucleus or non-motor-connected subthalamic nucleus, respectively) based on 7-Tesla MRI connectivity segmentation. Hemi-body motor improvement (Movement Disorder Society Unified Parkinson’s Disease Rating Scale, Part III) and microelectrode recording characteristics of multi- and single-unit activities were compared between groups. Deep brain stimulation electrodes placed in the motor-connected subthalamic nucleus resulted in higher hemi-body motor improvement, compared with electrodes placed in the non-motor-connected subthalamic nucleus (80% versus 52%, P < 0.0001). Multi-unit activity was found slightly higher in the motor-connected subthalamic nucleus versus the non-motor-connected subthalamic nucleus (P < 0.001, receiver operating characteristic 0.63); single-unit activity did not differ between groups. Deep brain stimulation in the connectivity-derived 7-Tesla MRI subthalamic nucleus motor segment produced a superior clinical outcome; however, microelectrode recording did not accurately distinguish this subdivision within the subthalamic nucleus.
Geomagnetic substorm association of plasmoids

The relationship of geomagnetic substorms and plasmoids is examined by determining the correlation of the 366 plasmoids identified by Moldwin and Hughes (1992) with ground auroral zone magnetograms and geosynchronous particle data signatures of substorm onsets. Over 84% of the plasmoid events occurred between 5 and 60 min after a substorm onset. We also find near one-to-one correlation between large isolated substorm signatures in the near-Earth region and signatures consistent with a passing plasmoid in the distant tail (i.e., a traveling compression region, or an actual plasmoid observation). However, there does not appear to be an absolute correspondence of every substorm onset to a plasmoid signature in the deep tail especially, for periods of prolonged disturbance that have multiple substorm insets. A correlation of inter-planetary magnetic field B. south with plasmoid observations was also found. The locations of the near- and far-Earth reconnection sites are estimated using the time of flight of the plasmoids from substorm onset to their observation at ISEE 3. The estimates of the near- and far-Earth reconnection sites are highly variable and range from 10 to 140 RE, 32 refs., 4 figs. 2 tabs.
Size Reduction and Harmonics Suppression in Microwave Power Dividers

In this paper, several types of microstrip power divider are studied and compared in terms of harmonics suppression and size reductions. The importance of this research lies in the fact that power dividers are critical components in various communication systems, and their performance directly affects the overall system efficiency. The conventional structure of the power divider has an acceptable performance at operating frequency in terms of excellent output ports isolation, low insertion loss, and high return loss, but occupies large size and passes unwanted signals at higher frequencies along with desired signal without any suppression. Harmonics are popular distortion and has different distortion impacts in many different facilities. Recently, several techniques are introduced to overcome these drawbacks. Applied open stubs, applied resonators, lumped reactive components such as capacitors and inductors, coupled lines, defected ground structure (DGS), and electronic band gaps are common methods, which are widely used to overcome these drawbacks. Finally, the study results show that the resonator-based power dividers and coupled-line-based power dividers have good performances in terms of size reduction and harmonic suppression but increase insertion loss parameter. Furthermore, the lumped reactive component-based power dividers and applied DGS and electromagnetic bandgap cells suppress unwanted harmonics, but they need extra process to fabrication, which is undesirable. Moreover, the open-stub-based power dividers have moderate performance with simple structure, but size reduction and harmonics suppression are not so superior in this method.
New Pyrazole-Clubbed Pyrimidine or Pyrazoline Hybrids as Anti-Methicillin-Resistant Staphylococcus aureus Agents: Design, Synthesis, In Vitro and In Vivo Evaluation, and Molecular Modeling Simulation

Two hybrid series of pyrazole-clubbed pyrimidines 5a–c and pyrazole-clubbed pyrazoline compounds 6a,b and 7 were designed as attractive scaffolds to be investigated in vitro and in vivo for antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA) and Pseudomonas aeruginosa. From the results of the in vitro antibacterial screening, compound 5c showed excellent activity (minimal inhibitory concentration, MIC = 521 μM) when compared with that of the reference antibiotic levofloxacin (MIC = 346 μM). The inhibition of the target dihydrofolate reductase (DHFR) enzyme by compounds 4 and 5a–c (IC50 = 5.00 ± 0.23, 4.20 ± 0.20, 4.10 ± 0.19, and 4.00 ± 0.18 μM, respectively) was found to be better than the reference drug trimethoprim (IC50 = 5.54 ± 0.28 μM). Molecular modeling simulation results have justified the order of activity of all the newly synthesized compounds as DHFR enzyme inhibitors, and compound 5c exhibited the best binding profile (−13.6169386 kcal/mol). Hence, the most potent inhibitor of the DHFR enzyme, 5c, was chosen to be evaluated in vivo for its activity in treating MRSA-induced keratitis in rats and that, in turn, significantly (P < 0.0001) reduced infection in rats when compared to MRSA-treated group results.