Miracle-dz/UniFAR-FTUs huggingface dataset:
Staphylococcus haemolyticus and Providencia vermicola Infections Occurring in Farmed Tilapia: Two Potentially Emerging Pathogens

Simple Summary The development of the production of freshwater species such as Nile tilapia has favored the increase in larger-scale infectious outbreaks and new diseases in this industry. This work aimed to determine the presence of bacterial diseases in Nile tilapia cultured in Chiapas, Mexico. Blood and viscera samples were taken from healthy and sick animals from several commercial farms. The isolated bacteria were identified and characterized by different laboratory tests. The isolation, identification and characterization of two pathogens involved in an infectious process were achieved: Staphylococcus haemolyticus and Providencia vermicola. Both bacteria were cataloged as causal agents of diseases in tilapia farming in Mexico. This is the first report of bacterial diseases in tilapia farms caused by two rare but potentially emerging pathogens for the species. These results make it possible to know the health situation of the region, estimate economic losses, know the behavior of pathogens and propose effective prevention and control measures. Abstract This work aimed to determine the presence of bacterial pathogens in fish with a clinical picture suggestive of infectious disease in Nile tilapia reared in Chiapas, Mexico. Blood and viscera samples were taken from healthy and diseased animals from commercial farms. Clinical and pathological examinations of each individual were performed and samples were collected for bacteriological studies. The bacterial isolates were identified and characterized by culture, biochemical tests, antibiogram, challenge tests and 16S rRNA sequencing. Staphylococcus haemolyticus and Providencia vermicola were isolated from various diseased organisms. The clinical picture caused by Staphylococcus haemolyticus was characterized by appetite disorders, neurological signs, nodulation or ulceration in different areas and congestion or enlargement of internal organs. Providenciosis in juvenile specimens caused a characteristic picture of hemorrhagic septicemia. Challenge tests performed in healthy organisms revealed that both infections caused higher mortality rates in fish (p < 0.05) compared with non-infected specimens, with 100% survival. There was 100% mortality for animals infected with P. vermicola after three days post infection and 45% for those infected with S. haemolyticus. The isolation and identification of two pathogens involved in an infection process were achieved and cataloged as potential causal agents of disease outbreaks in tilapia farming in Mexico. This is the first report of possible bacterial infection caused by S. haemolyticus and P. vermicola in tilapia farms, which are two uncommon but potentially emerging pathogens for the species.
Peran kompetensi pedagogi Guru IPS: studi kasus upaya mengatasi hambatan dan tantangan belajar Peserta Didik di SMPN 1 Prambon

Penelitian ini bertujuan untuk: 1) Menjelaskan tentang hambatan dan tantangan pembelajaran IPS yang terjadi di SMPN 1 Prambon; 2) Menjelaskan faktor apa saja yang menjadi hambatan dan tantangan belajar peserta didik; dan 3) Menjelaskan peran kompetensi pedagogi guru dalam mengatasi hambatan dan tantangan belajar IPS. Metode penelitian yang digunakan ialah kualitatif deskriptif. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Tahapan analisis data kualitatif melalui reduksi data, display data, dan conclusion. Hasil penelitian ini menunjukkan bahwa hambatan dan tantangan pembelajaran IPS di SMPN 1 Prambon terjadi karena kurangnya motivasi belajar, konsentrasi belajar, rendahnya literasi peserta didik, kemandirian dan kedisiplinan peserta didik. Selain itu, masih belum ada pengembangan media belajar yang mengadaptasikan teknologi pembelajaran berbasis TPACK dan fasilitas ruang belajar yang kurang nyaman. Apabila permasalahan tersebut tidak segera diselesaikan, maka pembelajaran tidak dapat berjalan dengan lancar dan tujuan belajar akan sulit dicapai. Oleh karena itu, guru IPS berupaya aktif memberikan penguatan motivasi, mengikuti pelatihan untuk meningkatkan kompetensi pedagogi guru dan mengadaptasikan media belajar untuk mendukung proses pembelajaran IPS.
Numerical Simulation of Steady and Unsteady Meso-scale Eddies

Eddy circulation in numerical hydrodynamic models is examined to show how eddies with diameters of the order of 102 metres can be adequately simulated. The results demonstrate the techniques which produce fast eddy circulation, while providing insight into the processes operating physically. By utilising a third order finite difference approximation for the non-linear terms and by judicious selection of the horizontal eddy viscosity coefficient, large increases (more than an order of magnitude) in the eddy strength can be achieved. These results are demonstrated numerically using the schematized bathymetry of flow past a rectangular step and examples of eddy circulation in natural environments, the latter selected from simulations of a variety of locations on Australia's Great Barrier Reef. A 'phase eddy parameter' is proposed which describes the potential for eddy formation in natural unsteady flows.
Maize-soybean intercropping improved maize growth traits by increasing soil nutrients and reducing plant pathogen abundance

Introduction Maize (Zea mays L.)–soybean (Glycine max L.) intercropping has been widely utilized in agricultural production due to its effectiveness in improving crop yield and nutrient use efficiency. However, the responses of maize rhizosphere microbial communities and the plant pathogen relative abundance to maize growth traits in maize-soybean intercropping systems with different chemical nitrogen fertilizer application rates remain unclear. Methods In this study, a field experiment was conducted, and the bacterial and fungal communities of maize rhizosphere soils in maize-soybean intercropping systems treated with different N fertilization rates were investigated using Illumina NovaSeq sequencing. Maize growth traits, soil physicochemical properties and soil enzyme activities were also examined. Results and discussion: We found that intercropping and N fertilizer treatments strongly influenced soil microbial diversity, structure and function. The PLSPM (partial least squares path modeling) confirmed that soil nutrients directly positively affected maize biomass and that intercropping practices indirectly positively affected maize biomass via soil nutrients, especially NH4+-N. Intercropping agronomic approaches also improved maize growth traits by reducing the plant pathogen abundance, and the relative abundance of the plant pathogen Trichothecium roseum significantly decreased with intercropping treatments compared to monocropping treatments. These results confirmed the benefits of maize-soybean intercropping treatments for agricultural production.
Electromedical Device And Expert System for Early Detection of Hyperemesis Gravidarum

Hyperemesis Gravidarum (HG) is a pregnancy complication that is often overlooked as it is typically considered normal. If HG is not properly treated, nutrition will not be fulfilled which can negatively affect maternal and fetal health and even maternal and fetal death. The exact cause of HG is not identified, so there are no effective preventive methods. However early detection can help for prompt and appropriate treatment. Therefore, a monitoring system for pregnancy conditions was designed for HG early detection. This system employs the MPX5050 DP pressure sensor for measuring blood pressure, the MAX30100 for assessing maternal heart rate and oxygen saturation, the MAX4466 sensor for monitoring fetal heart rate, and an expert system using the certainty factor method to diagnose the probability of hyperemesis gravidarum. The expert system achieves an accuracy of 93.33%. In comparison to the aneroid sphygmomanometer, the designed sphygmomanometer reveals a mean difference of 3.5 mmHg for diastolic pressure, with a standard deviation below 8 mmHg for both systolic and diastolic pressures. The measurement of heart rate and oxygen saturation has a deviation of 1.8 % and 1.02 % respectively. These deviations align with the standards specified by the Ministry of Health for medical devices. For the fetal heart rate, the mean deviation is 3.4 bpm, and the measurement error is 2.38%. Thus, this system can be utilized to monitor pregnancy conditions, enabling the early detection of hyperemesis gravidarum
Three new species of Callulops (Anura: Microhylidae) from western New Guinea

Various works in recent years have shown that the microhylid genus Callulops is not a monophyletic group, and that the „central species“ Callulops robustus is not, as previously assumed, distributed over the entire island of New Guinea. Further, Callulops robustus apparently does not occur in the northwestern part of the island. This species is there replaced by a number of other species, and at present no sympatric occurrence of species in the C. robustus-group are known. On the basis of our own collections in the Wondiwoi Mountains at the base of the Wandammen Peninsula as well as on the islands of Yapen and Biak (Cenderawasih Bay) in the years 1998 to 2003, we here describe three new species in the Callulops robustus-group.
Exploring Hemispheric Lateralization and Second Language Class Performance in 10 y.o. Students

This study investigated the relationship between functional hemispheric asymmetry at various brain levels and the performance of fourth-grade students in English as a second language classroom activities. Specifically, the study explored the impact of leftward and rightward asymmetry patterns on total classroom scores, considering lessons with a two-week interval and pre-lesson and post-lesson measurements. The sample comprised 27 right-handed students from an English-intensive school program. To assess functional hemispheric asymmetry before and after two English classes, computer laterometry based on a ‘two-source’ lead–lag dichotic paradigm was employed. Results revealed that leftward asymmetry in lability (brainstem-related) and excitability (primary auditory cortex-related) predicted higher total scores in classroom activities. The interaction between leftward lability and excitability asymmetries was a significant predictor of improved performance. These findings suggest that multiple regions of the left hemisphere are involved in supporting various linguistic tasks and emphasize the dynamic nature of functional hemispheric asymmetry. No significant relationship was observed between rightward asymmetry and classroom scores. However, future research may explore specific language tasks and sex-related differences in lateralization. The study underscores the importance of considering individual cognitive profiles in language learning and teaching, potentially improving language acquisition outcomes.
AAV for Gene Therapy in Ocular Diseases: Progress and Prospects

Owing to the promising therapeutic effect and one-time treatment advantage, gene therapy may completely change the management of eye diseases, especially retinal diseases. Adeno-associated virus (AAV) is considered one of the most promising viral gene delivery tools because it can infect various types of tissues and is considered as a relatively safe gene delivery vector. The eye is one of the most popular organs for gene therapy, since its limited volume is suitable for small doses of AAV stably transduction. Recently, an increasing number of clinical trials of AAV-mediated gene therapy are underway. This review summarizes the biological functions of AAV and its application in the treatment of various ocular diseases, as well as the characteristics of different AAV delivery routes in clinical applications. Here, the latest research progresses in AAV-mediated gene editing and silencing strategies to modify that the genetic ocular diseases are systematically outlined, especially by base editing and prime editing. We discuss the progress of AAV in ocular optogenetic therapy. We also summarize the application of AAV-mediated gene therapy in animal models and the difficulties in its clinical transformation.
CAR NK Cell Therapy for the Treatment of Metastatic Melanoma: Potential & Prospects

Melanoma is among the most lethal forms of cancer, accounting for 80% of deaths despite comprising just 5% of skin cancer cases. Treatment options remain limited due to the genetic and epigenetic mechanisms associated with melanoma heterogeneity that underlie the rapid development of secondary drug resistance. For this reason, the development of novel treatments remains paramount to the improvement of patient outcomes. Although the advent of chimeric antigen receptor-expressing T (CAR-T) cell immunotherapies has led to many clinical successes for hematological malignancies, these treatments are limited in their utility by their immune-induced side effects and a high risk of systemic toxicities. CAR natural killer (CAR-NK) cell immunotherapies are a particularly promising alternative to CAR-T cell immunotherapies, as they offer a more favorable safety profile and have the capacity for fine-tuned cytotoxic activity. In this review, the discussion of the prospects and potential of CAR-NK cell immunotherapies touches upon the clinical contexts of melanoma, the immunobiology of NK cells, the immunosuppressive barriers preventing endogenous immune cells from eliminating tumors, and the structure and design of chimeric antigen receptors, then finishes with a series of proposed design innovations that could improve the efficacy CAR-NK cell immunotherapies in future studies.
The Role of Artificial Intelligence in Mental Health: A Review

The domains of mental health and artificial intelligence (AI) are undergoing rapid advancements, exhibiting the capacity to mutually influence one another in significant ways. The increasing prevalence of mental health illnesses has prompted the exploration of potential remedies in the field of AI, which show promise in the areas of early detection, prevention, and therapy. Sophisticated machine learning algorithms possess the capability to evaluate extensive volumes of data, including social media posts and voice patterns, with the objective of detecting patterns and symptoms associated with mental illness. This facilitates the implementation of more focused interventions and individualized treatment strategies. Furthermore, chatbots utilizing AI have the capability to deliver round-the-clock assistance to those undergoing acute distress or grant them access to therapy in cases where waiting lists are extensive. Nevertheless, it is of utmost importance to guarantee the incorporation of ethical issues throughout the use of AI in the field of mental healthcare. In order to achieve successful integration, it is imperative to address many concerns, including but not limited to privacy, bias, and accurate diagnosis. However, the convergence of mental health and AI offers a distinct prospect to transform our approach to mental disease and improve the availability of care for countless individuals globally.
Automatic Hypergraph Generation for Enhancing Recommendation with Sparse Optimization

—With the rapid growth of activities on the web, large amounts of interaction data on multimedia platforms are easily accessible, including e-commerce, music sharing, and social media. By discovering various interests of users, recommender systems can improve user satisfaction without accessing overwhelming personal information. Compared to graph-based models, hypergraph-based collaborative filtering has the ability to model higher-order relations besides pair-wise relations among users and items, where the hypergraph structures are mainly obtained from specialized data or external knowledge. However, the above well-constructed hypergraph structures are often not readily available in every situation. To this end, we first propose a novel framework named HGRec, which can enhance recommendation via automatic hypergraph generation. By exploiting the clustering mechanism based on the user/item similarity, we group users and items without additional knowledge for hypergraph structure learning and design a cross-view recommendation module to alleviate the combinatorial gaps between the representations of the local ordinary graph and the global hypergraph. Furthermore, we devise a sparse optimization strategy to ensure the effectiveness of hypergraph structures, where a novel integration of the ℓ 2 , 1 -norm and optimal transport framework is designed for hypergraph generation. We term the model HGRec with sparse optimization strategy as HGRec++. Extensive experiments on public multi-domain datasets demonstrate the superiority brought by our HGRec++, which gains average 8.1 % and 9.8 % improvement over state-of-the-art baselines regarding Recall and NDCG metrics, respectively.
Time-Resolved Structural Measurement of Thermal Resistance across a Buried Semiconductor Heterostructure Interface

The precise control and understanding of heat flow in heterostructures is pivotal for advancements in thermoelectric energy conversion, thermal barrier coatings, and efficient heat management in electronic and optoelectronic devices. In this study, we employ high-angular-resolution time-resolved X-ray diffraction to structurally measure thermal resistance in a laser-excited AlGaAs/GaAs semiconductor heterostructure. Our methodology offers femtometer-scale spatial sensitivity and nanosecond time resolution, enabling us to directly observe heat transport across a buried interface. We corroborate established Thermal Boundary Resistance (TBR) values for AlGaAs/GaAs heterostructures and demonstrate that TBR arises from material property discrepancies on either side of a nearly flawless atomic interface. This work not only sheds light on the fundamental mechanisms governing heat flow across buried interfaces but also presents a robust experimental framework that can be extended to other heterostructure systems, paving the way for optimized thermal management in next-generation devices.
Free Thyroxine (fT4) as a Potential Biomarker of Neurological and Functional Outcome in Acquired Brain Injury: A Prospective Multicenter Cohort Study

The potential involvement of thyroid hormones (THs) in the neurological and functional recovery of patients with brain damage has been hypothesized. We aimed at investigating the role of THs and their variations during the rehabilitation process as predictive biomarkers of neurological and functional outcome in patients with acquired brain injury (ABI). This prospective, multicenter cohort study included 220 patients with ABI consecutively admitted for a 6-month neurorehabilitation program. Data on the etiology of the brain injury, occurrence of seizures, neurosurgical procedures, and death during hospitalization were collected. Both at the baseline (T0) and at the end of the rehabilitation process (T1), the following variables were evaluated: thyroid function (TSH, fT4, and fT3) and outcome measure including the Glasgow Coma Scale (GCS), Glasgow Outcome Scale-Extended (GOS-E), and Functional Independence Measure (FIM) scale. During neurorehabilitation, a significant decrease in fT4 levels was documented in the population as a whole and in patients with severe ABI (p < 0.0001), whereas no significant variations were found in TSH and fT3 levels. No significant associations were found between THs and seizure occurrence, while the neurological and functional outcomes were associated with the variation in fT4 levels during rehabilitation. In particular, a higher magnitude of decrease in fT4 levels emerged as an independent predictor of more severe neurological damage (OR = 3.48, CI 95% 1.04–11.69, p = 0.04) and a lower functional recovery (β = −0.22, p = 0.01). In conclusion, serum fT4 variation during neurorehabilitation could represent a potential biomarker of neurological and functional outcome in patients with ABI. Further studies are needed to investigate the mechanisms underlying this association.
A Robust Deformable Linear Object Perception Pipeline in 3D: From Segmentation to Reconstruction

3D perception of deformable linear objects (DLOs) is crucial for DLO manipulation. However, perceiving DLOs in 3D from a single RGBD image is challenging. Previous DLO perception methods fail to extract a decent 3D DLO model due to different textures, occlusions, sparse and false depth information. To address these problems and provide a more robust DLO perception initialization for downstream tasks like tracking and manipulation in complex scenarios, this letter proposes a 3D DLO perception pipeline to first segment a DLO in 2D images and post-process masks to eliminate false positive segmentation, reconstruct the DLO in 3D space to predict the occluded part of the DLO, and physically smooth the reconstructed DLO. By testing on a synthetic DLO dataset and further validating on a real-world dataset with seven different DLOs, we demonstrate that the proposed method is an effective and robust 3D perception pipeline solution with better performance on 2D DLO segmentation and 3D DLO reconstruction compared to State-of-the-Art algorithms.
Geologic structure of the northern margin of the Chihuahua trough: Evidence for controlled deformation during Laramide Orogeny

In this article we studied the northern part of the Laramide foreland of the Chihuahua Trough. The purpose of this work is twofold; fi rst we studied whether the deformation involves or not the basement along crustal faults (thin- or thick- skinned deformation), and second, we studied the nature of the principal shortening directions in the Chihuahua Trough. In this region, style of deformation changes from motion on moderate to low angle thrust and reverse faults within the interior of the basin to basement involved reverse faulting on the adjacent platform. Shortening directions estimated from the geometry of folds and faults and inversion of fault slip data indicate that both basement involved structures and faults within the basin record a similar Laramide deformation style. Map scale relationships indicate that motion on high angle basement involved thrusts post dates low angle thrusting. This is consistent with the two sets of faults forming during a single progressive deformation with in - sequence - thrusting migrating out of the basin onto the platform. We found that the style of deformation in the Chihuahua trough is variable. In places such as the East Potrillo Mountains and Indio Mountains is typical of the thin- skinned style, associated with the Cordilleran thrust belt, while in other places, the thick – skinned deformation present is typical of the Laramide orogeny in the southern Rocky Mountains. The Franklin Mountains record the transition from thick- to thin – skinned deformation. We notice that this difference in the style of deformation is related to the thickness of the Cretaceous section within the Chihuahua trough. On the other hand, the orientation of the shortening direction can be explained based on the geometry of the trough and especially the strike of its eastern margin. Along strike variations in shortening direction and kinematics are controlled by the curved northeast margin of the trough and refl ect stress reorientation along the weak interface between the strong platform and weak basin interior. These processes were wide spread affecting the 300 km long eastern margin of the Chihuahua trough between El Paso and the Big Bend region of west Texas.