Miracle-dz/UniFAR-FTUs huggingface dataset:
Giant retroperitoneal liposarcoma with spread to the upper third of the left thigh

Background. Large tumors, such as giant liposarcoma, are a challenge for modern medicine because of difficulty of treatment and possible impact on functions of the adjacent tissues and organs. The review of this clinical case may help develop new strategies and approaches to treatment of similar pathologies. Purpose. Review of the clinical case has a goal to educate medical specialists and students by helping to expand their understanding of rare oncologic diseases and to prove high effectiveness of surgery in locally advanced types of retroperitoneal liposarcomas using the clinical case as an example. Materials and methods. Female patient C. , 56 years old, sought for medical help in the clinical unit of State Organization «Grigoriev Institute for Medical Radiology and Oncology of the National Academy of Medical Sciences of Ukraine» in June 2021. The following diagnosis was established: retroperitoneal liposarcoma with spread to the left thigh, St. II–ІІІ сТ3N0M0. An en-bloc surgery (removal of the retroperitoneal tumor with mobilization of the left ureter, intraabdominal removal of the thigh part of the tumor of the left thigh from beneath the inguinal ligament) was performed after the standard preoperative preparation. The surgery went without complications. The wound healed primarily. The follow-up period of the patient was 16 months. Clinical laboratory examination did not show any local recurrences and distant metastases. Results. For retroperitoneal sarcoma, the goal of surgery is to achieve the complete resection of the tumor (R0). Partial removal (R2) tumor should be strongly avoided, as this has been demonstrated to have higher recurrence risk and a detrimental effect on oncologic outcomes. The tumor involvement of organs and structures does necessitate concomitant resection. Resection of one or more adjacent organs is carried out in 58–87% of all cases of primary RPS. Most commonly, ipsilateral nephrectomy and partial colectomy are also performed. In cases of hypothetical necessity of removing all adjacent organs, an extended or compartmental approach to resection is recommended. The main idea is to resect not only evidently affected organs but also surfaces to obtain circumferential «soft tissue margins». This approach is controversial but data from some sarcoma care centers in Italy and France indicate its effectiveness. Conclusions. Treating RPS in specialized centers of oncosurgery with surgical planning based on CT and MRI data is of vital importance, especially using assessment by related surgical specialists. In large RPS, achieving a classic R0 resection level is a challenge, even in a compartmental approach, therefore division of resections into R2 and R0/R1 is reasonable. The choice of approach determines success of the surgery due to the narrowness of the surgical field.
Australian Cool-Season Pulse Seed-Borne Virus Research: 1. Alfalfa and Cucumber Mosaic Viruses and Less Important Viruses

Here, we review the research undertaken since the 1950s in Australia’s grain cropping regions on seed-borne virus diseases of cool-season pulses caused by alfalfa mosaic virus (AMV) and cucumber mosaic virus (CMV). We present brief background information about the continent’s pulse industry, virus epidemiology, management principles and future threats to virus disease management. We then take a historical approach towards all past investigations with these two seed-borne pulse viruses in the principal cool-season pulse crops grown: chickpea, faba bean, field pea, lentil, narrow-leafed lupin and white lupin. With each pathosystem, the main focus is on its biology, epidemiology and management, placing particular emphasis on describing field and glasshouse experimentation that enabled the development of effective phytosanitary, cultural and host resistance control strategies. Past Australian cool-season pulse investigations with AMV and CMV in the less commonly grown species (vetches, narbon bean, fenugreek, yellow and pearl lupin, grass pea and other Lathyrus species) and those with the five less important seed-borne pulse viruses also found (broad bean stain virus, broad bean true mosaic virus, broad bean wilt virus, cowpea mild mottle virus and peanut mottle virus) are also summarized. The need for future research is emphasized, and recommendations are made regarding what is required.
Seasonal Predictability of Drought and the Importance of Land-Atmosphere Interactions

Hydrologic extremes in the form of flood and drought have large impacts on society. The ability to predict such extreme events at seasonal timescale allows for preparations that can reduce the risk of these events. However, seasonal prediction skill of global climate models varies seasonally and spatially, which severely limits their practical use. In this thesis a framework for assessing and attributing the seasonal predictability through a probabilistic predictability metric based on model skill across temporal and spatial scales; i.e. for the canonical events was developed and demonstrated. The attribution of predictability specific to land-atmosphere interactions and drought is also developed through a new classification of land-atmosphere interactions that includes the Coupling Drought Index (CDI). The CDI was used to understand the current predictability in NCEPs Climate Forecast System version 2 (CFSv2) and the new classification of coupling is used to develop statistical models to isolate attributes of predictability relevant to land-atmosphere interactions and drought. The results show clear seasonal and spatial patterns of predictability that vary with each forecast variable and provide a better understanding of when and where to have confidence in model predictions. The new classification of coupling indicates strong persistence and the CDI shows good agreement with the temporal and spatial variability of drought and highlights the role of coupling in drought recovery. The CDI in the CFSv2 forecasts indicates climatological bias toward the wet coupling regime that precludes the forecast model from consistently predicting and maintaining drought over the continental US. The attribution of the CFSv2 forecasts skill in the summer indicates that the local persistence of initial conditions provides some predictability over the hindcast period and for specific drought events, however the skill is greatly enhanced by the inclusion of spatial interactions. Furthermore, the
Highly Transparent Red Organic Light-Emitting Diodes with AZO/Ag/AZO Multilayer Electrode

Free-form factor optoelectronics is becoming more important for various applications. Specifically, flexible and transparent optoelectronics offers the potential to be adopted in wearable devices in displays, solar cells, or biomedical applications. However, current transparent electrodes are limited in conductivity and flexibility. This study aims to address these challenges and explore potential solutions. For the next-generation transparent conductive electrode, Al-doped zinc oxide (AZO) and silver (AZO/Ag/AZO) deposited by in-line magnetron sputtering without thermal treatment was investigated, and this transparent electrode was used as a transparent organic light-emitting diode (OLED) anode to maximize the transparency characteristics. The experiment and simulation involved adjusting the thickness of Ag and AZO and OLED structure to enhance the transmittance and device performance. The AZO/Ag/AZO with Ag of 12 nm and AZO of 32 nm thickness achieved the results of the highest figure of merit (FOM) (Φ550 = 4.65 mΩ−1) and lowest roughness. The full structure of transparent OLED (TrOLED) with AZO/Ag/AZO anode and Mg:Ag cathode reached 64.84% transmittance at 550 nm, and 300 cd/m2 at about 4 V. The results demonstrate the feasibility of adopting flexible substrates, such as PET, without the need for thermal treatment. This research provides valuable insights into the development of transparent and flexible electronic devices.
Atmospheric dynamics and internal processes during organization and intensification of Boreal Summer Intraseasonal Oscillation (BSISO) based on TRMM and reanalyses data

Boreal summer intraseasonal oscillations (BSISOs) show a meridional propagation from the Indian Ocean (IO) region to the continental India. The BSISOs are the main source of rainfall variability over the Indian Summer Monsoon (ISM) region. The recent research has revealed a basic understanding of the scale selection and northward propagation of the BSISOs. But the complete understanding about the organization and intensification of BSISOs remains elusive. This study uses observation and reanalysis data that covers summers (June–September) of 1998–2013 to investigate the dynamical and atmospheric internal processes during the organization and intensification of BSISOs. Based on rainfall analyses, two types of BSISOs are defined, one with weaker and the other with stronger intensity. Stronger BSISOs show persisting lower level moisture convergence to the north of the convection centre (CC) and a strong vertical velocity collocated with CC. The analysis of mean kinetic energy (MKE) budget suggests that MKE significantly increases during the organization of the strong BSISOs but the strength is relatively weaker during the evolution of weak BSISOs. The enhanced MKE during the strong events is supported by the increase of baroclinic energy conversion from mean available potential energy (MAPE) to MKE but the MAPE to MKE conversion is significantly weak during the evolution of weak BSISOs. There is conversion from MKE to eddy kinetic energy (EKE) during organization of strong BSISOs and the conversion increases as the events approach towards the organized and intense phase. The eddy momentum‐vertical wind shear interaction is the significant contributor for conversion of MKE to EKE during the organization of strong BSISOs. The eddy momentum‐mean flow divergence interaction and eddy momentum–vorticity interaction at the lower level support to enhance EKE as the strong BSISOs approach the organized and intense phase. But the above interactions are weak during evolutions of the weak BSISOs.
Hybrid Intrusion Detection System Using K-means and J-48

Security attacks through internet are increased continuously in recent years therefore the Information security is globally very serious problem at the present time. The importance of protecting networks is most important. The need of intrusion detection system has been brought out. In this work a hybrid intrusion system based on data mining techniques using K-means and J48 is proposed. In this paper work hybrid intrusion detection system is proposed first Misuse based detection model is build using K-means clustering algorithm then based upon the output of misuse detection phase Anomaly based intrusion detection model is build using improved J-48 classification algorithm in this way the combine output of these two phases attains very higher detection accuracy. For training and testing of hybrid intrusion detection model famous NSL-kdd dataset is used.
ERTNet: an interpretable transformer-based framework for EEG emotion recognition

Background Emotion recognition using EEG signals enables clinicians to assess patients’ emotional states with precision and immediacy. However, the complexity of EEG signal data poses challenges for traditional recognition methods. Deep learning techniques effectively capture the nuanced emotional cues within these signals by leveraging extensive data. Nonetheless, most deep learning techniques lack interpretability while maintaining accuracy. Methods We developed an interpretable end-to-end EEG emotion recognition framework rooted in the hybrid CNN and transformer architecture. Specifically, temporal convolution isolates salient information from EEG signals while filtering out potential high-frequency noise. Spatial convolution discerns the topological connections between channels. Subsequently, the transformer module processes the feature maps to integrate high-level spatiotemporal features, enabling the identification of the prevailing emotional state. Results Experiments’ results demonstrated that our model excels in diverse emotion classification, achieving an accuracy of 74.23% ± 2.59% on the dimensional model (DEAP) and 67.17% ± 1.70% on the discrete model (SEED-V). These results surpass the performances of both CNN and LSTM-based counterparts. Through interpretive analysis, we ascertained that the beta and gamma bands in the EEG signals exert the most significant impact on emotion recognition performance. Notably, our model can independently tailor a Gaussian-like convolution kernel, effectively filtering high-frequency noise from the input EEG data. Discussion Given its robust performance and interpretative capabilities, our proposed framework is a promising tool for EEG-driven emotion brain-computer interface.
Phenotypic characterization of pre-harvest sprouting resistance mutants generated by the CRISPR/Cas9-geminiviral replicon system in rice

Pre-harvest sprouting is a critical phenomenon involving germination of seeds in the mother plant before harvest under relative humid conditions and reduced dormancy. In this paper, we generated HDR mutant lines with one region SNP (C/T) and an insertion of 6 bp (GGT/GGTGGCGGC) in OsERF1 genes for pre-harvest sprouting (PHS) resistance using CRISPR/Cas9 and a geminiviral replicon system. The incidence of HDR was 2.6% in transformed calli. T1 seeds were harvested from 12 HDR-induced calli and named ERF1-hdr line. Molecular stability, key agronomic properties, physiological properties, and biochemical properties of target genes in the ERF1-hdr line were investigated for three years. The ERF1-hdr line showed significantly enhanced seed dormancy and pre-harvest sprouting resistance. qRT-PCR analysis suggested that enhanced ABA signaling resulted in a stronger phenotype of PHS resistance. These results indicate that efficient HDR can be achieved through SNP/InDel replacement using a single and modular configuration applicable to different rice targets and other crops. This work demonstrates the potential to replace all genes with elite alleles within one generation and greatly expands our ability to improve agriculturally important traits.
Long Interspersed Nuclear Element-1 Analytes in Extracellular Vesicles as Tools for Molecular Diagnostics of Non-Small Cell Lung Cancer

Aberrant expression of the oncogenic retrotransposon LINE-1 is a hallmark of various cancer types, including non-small cell lung cancers (NSCLCs). Here, we present proof-of-principle evidence that LINE-1 analytes in extracellular vesicles (EVs) serve as tools for molecular diagnostics of NSCLC, with LINE-1 status in tumor cells and tissues mirroring the LINE-1 mRNA and ORF1p cargos of EVs from lung cancer cell culture conditioned media or human plasma. The levels of LINE-1 analytes in plasma EVs from ostensibly healthy individuals were higher in females than males. While the profiles of LINE-1 mRNA and ORF1p in African Americans compared to Hispanics were not significantly different, African Americans showed slightly higher ORF1p content, and 2–3 times greater ranges of LINE-1 values compared to Hispanics. Whole plasma ORF1p levels correlated with EV ORF1p levels, indicating that most of the circulating LINE-1 protein is contained within EVs. EV LINE-1 mRNA levels were elevated in patients with advanced cancer stages and in select patients with squamous cell carcinoma and metastatic tumors compared to adenocarcinomas. The observed EV LINE-1 mRNA profiles paralleled the patterns of ORF1p expression in NSCLC tissue sections suggesting that LINE-1 analytes in plasma EVs may serve to monitor the activity of LINE-1 retroelements in lung cancer.
Estudio de la fauna bentónica de la ría del Eo (Lugo)

Los muestreos cualitativos y cuantitativos realizados en la ria del Eo (Galicia-Asturias), mediante dragas Rallier du Baty y Van Veen, respectivamente, han permitido diferenciar en ella cuatro tipos de fondos, que se analizan teniendo en cuenta las caracteristicas hidrologicas, sedimentologicas y faunisticas, ordenando las especies de acuerdo con indices de constancia y fidelidad, y destacando su importancia con el parametro fidelidad x dominancia. Tres tipos de fondos intermareales son objeto de un estudio de dinamica de poblaciones, a lo largo de un ano: fondos de zostera marina, fondos de “ Zostera noltii “, y fondos de arenas medias-finas superficiales. Los diferentes parametros poblacionales (riqueza especifica, densidad, dominancia, diversidad y equidad), ponen de manifiesto la importancia de los bancos de fanerogamas marinas en la produccion del estuario. Finalmente, se aborda un estudio autoecologico de las especies mas representativas, prestando especial atencion a aquellas asociadas a los fondos de zostera spp. , tales como “ Bittium reticulatum “, “ Loripes lucinalis “, “ Hydrobia ulvae “, “ Mediomastus fragilis “, “ Notomastus latericeus “ y “ Aonides oxycephala “.
Passive In Situ Treatment of Acidic and Neutral Mine Drainage: Field and Laboratory Investigations

Water quality degradation is the foremost environmental issue faced by the mining industry. Negative impacts on water quality are commonly associated with unmitigated drainage emanating from sulfide-bearing mine waste deposits. These impacts stem from the liberation of acidity, sulfate, metals (e.g. Fe, Ni, Cu, Zn and Pb), and trace elements (e.g. Co, As, Cd, Sb and Tl) during the oxidation of sulfide minerals. Drainage at operational mines is commonly treated using techniques such as chemical oxidation and acid neutralization, which can succeed in achieving regulatory discharge guidelines. However, active treatment techniques are commonly burdened by high capital and operating costs. The development of passive technologies for treatment of mine drainage, which promote sulfate reduction, metalsulfide precipitation and alkalinity production, therefore present a cost-effective alternative for managing mine drainage quality. This thesis describes laboratory and field evaluations of techniques for passive in situ treatment of acidic and neutral mine waters. Laboratory batch experiments evaluated the treatment of acid mine drainage (AMD) with mixtures of organic carbon and zero-valent iron (ZVI) for use in permeable reactive barriers (PRBs). Modest increases in sulfate-reduction rates up to 15 % were achieved by amending organic carbon mixtures with 5 to 10 % (dry wt.) ZVI. Reactive mixtures containing organic carbon supported growth of sulfate-reducing bacteria (SRB) and facilitated removal of Fe, Zn, Cd, Ni, Co and Pb. However, organic carbon was necessary to support SRB growth and sulfate reduction. Removal of Zn, Cd, Ni, Co and Pb in the absence of organic carbon is attributed to sorption and (co)precipitation reactions at the ZVI surface. Scanning electron microscopy (SEM) and X-ray absorption near-edge structure (XANES)
Metabolite Biomarkers of Prolonged and Intensified Pain and Distress in Head and Neck Cancer Patients Undergoing Radio- or Chemoradiotherapy by Means of NMR-Based Metabolomics—A Preliminary Study

Treatment of head and neck squamous cell carcinoma (HNSCC) has a detrimental impact on patient quality of life. The rate of recognized distress/depression among HNSCC patients ranges from 9.8% to 83.8%, and the estimated prevalence of depression among patients receiving radiotherapy is 63%. Shorter overall survival also occurs in preexisting depression or depressive conditions. The present study analyzes the nuclear magnetic resonance (NMR) blood serum metabolic profiles during radio-/chemoradiotherapy and correlates the detected alterations with pain and/or distress accumulated with the disease and its treatment. NMR spectra were acquired on a Bruker 400 MHz spectrometer and analyzed using multivariate methods. The results indicate that distress and/or pain primarily affect the serum lipids and metabolites of energy (glutamine, glucose, lactate, acetate) and one-carbon (glycine, choline, betaine, methanol, threonine, serine, histidine, formate) metabolism. Sparse disturbances in the branched-chain amino acids (BCAA) and in the metabolites involved in protein metabolism (lysine, tyrosine, phenylalanine) are also observed. Depending on the treatment modality—radiotherapy or concurrent chemoradiotherapy—there are some differences in the altered metabolites.
Comparative cancer incidence, mortality and survival in Indigenous and non-Indigenous residents of South Australia and the Northern Territory

In South Australia, the Indigenous incidence appeared to be about 6% lower than the non-Indigenous incidence for all cancer sites combined. In the Northern Territory, the Indigenous incidence was found to be 15% lower than the non-Indigenous incidence. Cancer mortality is higher in Indigenous than non-Indigenous Australians both in South Australia and the Northern Territory. Broadly speaking the rate appears to be about 40% higher in Indigenous residents. South Australian data have shown a lower Indigenous than non-Indigenous survival for cancers of equivalent type. (non-author abstract)
Generation of T cell hybridoma as a technique for study the immune response against bacterial infections

Study of the acquired immune responses against microbial infection has a high importance, as it is the fundamental basis of designing the vaccines against microbes and production of specific antibodies against infections. Different methods have been established to study the immune responses against infections using different types of immune cells. The main cells of acquired immune system are T cells which generate cellular immune response and B cells that produce humoral immune response. One of the cellular techniques can be generated, as a continues cell system is called a hybridoma. This cell system is used to study the immune responses of T and B cells of the immune system. It can be generated from T cell lines to study cellular immunity, and is called T cell hybridoma, or using B cell lines to study humoral immunity, and is called B cell hybridoma. Generation of T cell hybridoma ( a fusion between antigen-specific primary T cells with an immortal thymoma line) is a significant technique to demonstrate the mechanisms of antigen presenting to T cells. In addition, it is a basic technique for production of monoclonal antibody based on the fusion of B cell lines ( i.e., B cell hybridoma). This article aims to present the procedure of generating T cell hybridoma and its application to study the cellular immune response against M5 protein of Streptococcus pyogenes ( group A Streptococcus - GAS ) as a practical example. It is an important issue to highlight the methods of such successful technique.