Miracle-dz/UniFAR-FTUs huggingface dataset:
Cost-effectiveness of brentuximab vedotin for relapsed or refractory systemic anaplastic large-cell lymphoma in China

Abstract Objectives Systemic anaplastic large-cell lymphoma (sALCL) is a rare hematological malignancy with poor prognosis, which is associated with a significant economic burden. This study aimed to evaluate the cost-effectiveness of brentuximab vedotin (BV) in comparison to conventional chemotherapy in patients with relapsed/refractory sALCL, from a Chinese healthcare perspective. Methods A partitioned survival model with three health states (progression-free survival, post-progression survival, and death) was adapted to compare BV against chemotherapy. Comparator represented a basket of commonly used chemotherapies in China. Two cohorts in each arm were estimated, representing patients receiving no transplant and autologous stem cell transplant (ASCT) after BV or chemotherapy. Clinical data was obtained from the pivotal phase-II trial (NCT00866047) for BV and also from the literature for a comparator. Resource use items covered drug acquisition and administration; concomitant medications; ASCT; treatment of adverse events; and long-term follow-up. Cost parameters were based on Chinese sources. Outcomes were measured in quality-adjusted life-years (QALYs). Both costs and effects were discounted at 5% according to Chinese guidelines. The impact of uncertainty was evaluated using deterministic and probabilistic sensitivity analyses. Results The incremental cost-effectiveness ratio (ICER) for BV vs. chemotherapy was $9,610 (¥62,084) per QALY in the base case. The main model driver was superior progression-free and overall survival benefits of BV. The ICERs were relatively robust in the majority of sensitivity analyses, ranging around ±10% of the base case. Under the conventional decision thresholds (1–3 times of Chinese per capita GDP), the probability of BV being cost-effective ranged from 56 to 100%. Limitations of the study included the lack of comparative data from the trial and the small and heterogeneous sample due to its disease nature. Conclusions BV may be a cost-effective treatment vs. chemotherapy in treating relapsed or refractory systemic anaplastic large-cell lymphoma in China.
Study the Toll-like Receptor 2 and Dectin-1 in mice treated with beta‐ glucans and infected with Salmonella Typhimurium

Objective: Toll-like receptors (TLRs) are essential components for the induction of innate immune responses in different tissues including the small intestine, spleen and mesenteric lymph nodes. We investigated the expression of TLR2 in these tissues in mice infected with Salmonella Typhimurium. In this study we have examined how dectin-1, a lectin family receptor for β-glucans, collaborates with TLR-2 in recognition of microbes.Methods :In this study two groups of mice were treated with the β- glucan (local and commercial extract) and infected with(1x10 6 CFU/ml) S. Typhimurium at different intervals group 1 at day zero and group 2 after seven days of the experiment . The immunohistochemistory assay has been performed to detect TLR-2 and dectine-1 in the tissues of small intestine, spleen and mesenteric lymph nodes of the mice; the principle ofthis assay was done according to the manufacturer instructions (U.S.biological) . Results: In the immunohistochemistory assay, positive cells were indicated by cytoplasmic staining and the percentage of positive in 100 cells was recorded and graded. The grades were 1+ (<25%), 2+ (25-75%) and 3+ (>75%). Statistical analysis with Chi- Square tests revealed that there were significant differences (p˂0.05) between groups, also between grades within the same group in the small intestine, spleen with TLR2 expression; also we demonstrated the same results with Dectin-1 expression in the small intestine and mesenteric lymph nodes, except in the spleen which showed that there were no any relevant differences (p˂ 0.05 ) between the groups and the cell- grades.
The Implementation of Strategic Management in Greek Hospitality Businesses in Times of Crisis

The aim of this research was to explore the implementation of strategic management approaches in Greek tourism and hospitality businesses during economic crises, in order to further expand our current knowledge of operating in a turbulent environment and embracing novel aspects by linking economic crises with the current literature on the COVID-19 pandemic. This research emphasizes the connection between the strategic management approaches of 131 tourism organizations and hospitality business performance by analyzing entrepreneurs’ opinions and hospitality business markets. The results reveal that a significant percentage of the participants understand and use some strategic management procedures, and some strategy in general, but there is a lack of a concrete strategy for managing the turbulent environment caused by an economic crisis. However, a large percentage of small tourism businesses are completely unaware of strategic management approaches, and their knowledge of implementing a strategy during an economic crisis is limited. The practical implications of this research can act as a navigator of the economic consequences caused by the COVID-19 pandemic.
A Ship Ranging and Positioning System Based on Binocular Vision Technology

Relative ranging and positioning is the basis to ensure the navigation safety of ships, and it has a broad application prospect in various maritime activities, especially in the aspects of docking and undocking, sailing in crowded areas, towing, convoy sailing, and warship replenishment, etc. In order to improve the autonomy and automation of ship ranging and positioning and reduce the cost, a novel type of ship ranging and positioning system based on binocular vision technology is proposed. The proposed system includes seven modules, i.e. video information acquisition module, ship attitude acquisition module, camera parameter calibration module, target recognition and segmentation module, image matching module, ranging and positioning module, and information display module. After acquiring the target image sequences by using two cameras, the proposed system identifies and segments maritime targets quickly by using Canny algorithm in the artificial interactive mode, realizes reduced-space search by using epipolar constraint method, achieve fast target features matching to obtain the vision disparity of the feature points by using the SURF algorithm, and calculates the distance of the target according to the binocular vision ranging principle, so as to realize interactive visual ranging and positioning. The proposed system has the advantages of low cost, simple structure and convenient operation. It can realize relative ranging and positioning with only one computer and two cameras. Experiments demonstrate that the proposed system, with fast running speed and high accuracy, can satisfy the relative ranging and positioning needs of ships.
Detection and diagnosis of brain tumors‐framework using extreme machine learning and CANFIS classification algorithms

In this paper, brain tumors are detected and diagnosed using machine learning approaches in brain magnetic resonance imaging (MRI), which has many real time clinical applications. Noise variations in brain images are detected and removed using index filter, which is proposed in this paper. Brain images devoid of noise content are in spatial domain format, which are not suitable for further feature extraction process. Hence, there is a need for converting all the spatial pixels into multi orientation pixels. In this paper, Gabor transform is used for spatial into multi oriented image conversion. The noise filtered images are transformed into multi orientation‐based brain image using Gabor transform method. Then, the hybrid features which are the integration of statistical and texture features (GLCM, gray level co‐occurrence matrix, and LDP, local derivative pattern), are computed from this transformed brain image. These computed features are classified using extreme machine learning (EML) approach, which categorizes the source brain image as normal or abnormal. Then, the segmented tumor regions are diagnosed using co‐active adaptive neuro fuzzy inference system (CANFIS) classifier, which classifies the segmented regions as mild or severe. The proposed tumor detection and diagnosis methods are applied and tested on the brain images which are available as open access dataset. The performance of the proposed brain tumor detection method is analyzed in terms of sensitivity, specificity, and accuracy with classification rate.
Sustainability Analysis of Active Packaging for the Fresh Cut Vegetable Industry by Means of Attributional & Consequential Life Cycle Assessment

In order to enlarge the shelf life and avoid the waste of fresh-cut (FC) products, novel packaging techniques with antimicrobial properties have been proposed. In this work, we analyzed the potential environmental benefits of using films reinforced with bactericidal ZnO nanoparticles (NP) for FC produce packaging, when compared to the traditional polypropylene (PP) films. A biodegradable, polylactic acid (PLA) package and a non-biodegradable, polypropylene package, both coated with ZnO NP, were considered as novel technologies. The eco-profile of the considered alternatives was assessed via two life cycle assessments (LCAs). Firstly, an attributional LCA was performed in order to compare the materials in terms of their production and end of life (EOL) processes, allowing us to extend the conclusions to different food products. Secondly, a consequential LCA was performed taking into account the whole life cycle of the fresh vegetable, with special attention to the environmental implications of the produce losses among the chain. The uncertainties of the models were assessed via Monte Carlo approach. In both cases, the scenarios concerning the PLA and PP active packages with ZnO NP showed a better profile than the traditional techniques, specifically when considering the full supply chain of the FC vegetables in the consequential LCA. As agricultural production is the main contributor to the environmental impact of the cycle, the avoidance of wastes by extending the shelf life through the novel packages leads to the impact reduction of FC products.
Use of three-dimensional printing for simulation in ultrasound education: a scoping review

Background There is a significant learning curve when teaching ultrasonography to medical trainees; task trainers can help learners to bridge this gap and develop their skills. Three-dimensional printing technology has the potential to be a great tool in the development of such simulators. Objective This scoping review aimed to identify what 3D-printed models have been used in ultrasound education to date, how they were created and the pros and limitations involved. Design Researchers searched three online databases to identify 3D-printed ultrasound models used in medical education. Results Twelve suitable publications were identified for inclusion in this review. The models from included articles simulated largely low frequency and/or high stakes events, with many models simulating needle guidance procedures. Most models were created by using patient imaging data and a computer-aided design software to print structures directly or print casting molds. The benefits of 3D-printed educational trainers are their low cost, reproducibility, patient specificity and accuracy. The current limitations of this technology are upfront investments and a lack of optimisation of materials. Conclusions The use of 3D-printed ultrasound task trainers is in its infancy, and more research is needed to determine whether or not this technology will benefit medical learners in the future.
Mapping neurons and brain regions underlying sensorimotor decisions and sequences in Drosophila

Nervous systems across the animal kingdom have the ability to select appropriate actions and sequences of actions in response to sensory cues. The circuit mechanisms by which nervous systems achieve choice, stability and transitions between behaviors are still incompletely understood. To identify neurons and brain areas involved in controlling these processes, we developed an approach where we combined a large-scale neuronal inactivation screen with an automated action detection of sensorimotor decisions and sequences in response to a sensory cue in Drosophila larva. We analyzed behaviors from 2.9×105 larvae and identified 51 candidate lines for sensory processing and 24 candidate lines for competitive interactions between actions during sensorimotor decisions. We also detected phenotype categories for sequence transitions consistent with a model of sequence generation where transitions and reversals are independently controlled. These findings provide the basis for understanding how sensorimotor decisions and sequence transition are controlled by the nervous system
Karyotype and RAPD Diversity in Four Varieties of Gossypium hirsutum L.

Four recently released varieties of Gossypium hirsutum L. by Bangladesh Cotton Development Board (CDB) viz. CB-12, CB-13, CB-14, and Rupali-1 were studied cytogenetically and at the molecular level to elucidate the genomic diversity among the varieties. Although the four varieties were found to possess 2n=52 chromosomes, they differed in respect of karyotype formulae such as 48m+4sm in CB-12, 52m in CB-13, and 50m+2sm in CB-14 and in Rupali-1. Moreover, these varieties differed with respect to other karyotypic features such as total length of 2n chromosome complements, number of satellites, range of relative length, centromeric index, etc. Different number of satellites viz. two in CB-12 and Rupali-1 and four in CB-13 and CB-14, were found after only CMA-staining. CMA-fluoresced satellites of four cotton varieties suggest stain specificity. A wide range of CMA-positive bands were found in these four varieties. Out of four varieties no DAPI-positive band was found in CB-13 and Rupali-1. Fluorescence banding revealed genomic alteration and karyotype diversification within the four varieties. The five RAPD primers generated 53 bands with 90.56% polymorphism indacting diverse genomic nature. Two unique RAPD bands were found in Rupali-1 which could be used as markers. Therefore, each variety could be characterized by diverse karyotypes and molecular data.
Short loop motif profiling of protein interaction networks in acute myeloid leukaemia

Recent advances in biotechnologies for genomics and proteomics have expanded our understanding of biological components which play crucial roles in complex mechanisms related to cancer. However, it is still challenging to extract from the available knowledge reliable targets to use in a translational setting. The reasons for this are manifold, but essentially distilling real biological signal from heterogeneous “big data” collections is the major hurdle. Here, we aim to establish an in-silico pipeline to explore mutations and their effects on protein-protein interactions, with a focus on acute myeloid leukaemia (AML), one of the most common blood cancers with the highest mortality rate. Our method, based on cyclic interactions of a small number of proteins topologically linked in the network (short loop network motifs), highlights specific protein-protein interactions (PPIs) and their functions in AML when compared with other leukaemias. We also developed a new property named ‘short loop commonality’ to measure indirect PPIs occurring via common short loop interactions. This new method detects “modules” of PPI networks (PPINs) enriched with common biological functions which have proteins that contain mutation hotspots. We further perform 3D structural modelling to extract atomistic details, which shows that such hotspots map to PPI interfaces as well as active sites. Thus, our study proposes a framework for the macroscopic and microscopic investigation of PPINs, their relation to cancers, and highlights important functional modules in the network to be exploited in targeted drug screening.
EVALUATION OF ANTIMICROBIAL ACTIVITY OF BACTERIOCIN PRODUCING LACTIC ACID BACTERIA ISOLATED FROM DAIRY PRODUCTS AND TO ASSESS THEIR ROLE IN ENHANCING THE SHELF LIFE OF FOOD

The present investigation was carried out to isolate most efficient bacteriocin producing potential probiotic lactic acid bacteria from dairy products, their screening, identification, probiotic attributes, purification, characterization of purified bacteriocin on biochemical as well as on molecular level and application of bacteriocin as food bio-preservatives. In addition, probiotic attributes of bacteriocin producing lactic acid bacteria and its role in bacteriocin mediated and cell mediated preservation was studied. In total, 41 lactic acid bacterial strains, were isolated from different dairy products. Out of all, 59 % lactic acid bacterial strains were catalase -ve, and 41 % of the lactic acid bacterial isolates were catalase +ve. Further isolates were screened against five spoilage causing food borne pathogens by bit/disc method. Among all, 15 isolates were further screened to test bacteriocin production potential on the basis of their wide inhibitory spectrum against tested pathogens. Finally four isolates i.e L2, K1, MK7 and MM3 were selected for further studies being hyperbacteriocin producers, which were isolated from lassi, khoa, mhakan and human milk respectively. Isolate L2 was identified as Lactobacillus fermentum |MF443392|, K1 as Enterococcus sp. |MF464543|, MK7 as Lactobacillus casei |MF443393| and MM3 as Enterococcus faecium |MF464544| by 16S rRNA gene technique. These screened isolates were further examined for their probiotic potential viz. acid tolerance, bile tolerance, auto-aggregation, co-aggregation and hydrophobicity. Lactobacillus fermentum L2 was selected further for the purification of bacteriocin by gel exclusion chromatography and its molecular weight was found to be 5 kDa. Activity units of purified bacteriocin increased from 6×10 to 10×10 AU/ml. Purified bacteriocin titers of Lactobacillus fermentum L2 were enhanced by 40 % against S. aureus and 40 % against Leuconostoc mesenteroides. Purified bacteriocin of Lactobacillus fermentum L2 was characterized by studying the effect of temperature, pH , proteolytic enzymes and storage stability. Purified bacteriocin was most active against S. aureus at neutral pH and had high thermostability and sensitivity to proteolytic enzymes-trypsin and pepsin. The use of the bacteriocin mediated preservation and cell mediated preservation tested in food products plum RTS and pulp had been found quite satisfactory. Signature of Student Signature of the Advisor
What is sex journalism or, rather, how does it become? Interviews with news workers on the risk and precarity of a gendered news niche

Numerous studies have found the reporting of sex is sensationalized and intended to create controversy while journalists have little regard for the topic. Such matters are important given the #MeToo movement has broadened public debate about sexual issues, practices and behaviors. However, there is scant research on the professional identities of journalists who specialize in sex news and the industrial, social and individual-level factors shaping their reportage. Extending an earlier qualitative study comprising interviews with female freelance journalists in North America, Canada, Germany and Australia, this article conceptualizes sex journalism as a specialism in flux and, using the concept of ‘biodigital vulnerability’, argues that sex journalists are exposed to gendered experiences of risk in their news work. The results suggest greater consideration for the professional and gendered identities of sex journalists may improve sex news coverage and optimize sexual health outcomes given the importance of sex news as a public information source.
Unsteady effects on a pitching airfoil at conditions relevant for large vertical axis wind turbines

Interest in offshore vertical axis wind turbines (VAWTs) has created a need to study VAWTs at much higher Reynolds numbers than they have previously been studied at. VAWTs are characterised by unsteady aerodynamics, and high Reynolds numbers have the potential to alter the blade aerodynamics significantly. Here, results are reported on an airfoil that is pitched sinusoidally around zero angle of attack at Rec = 1 × 106, at a reduced frequency k = 0.15 and amplitudes of 5° < α < 20°. Since the static stall angle is not exceeded, no stall effects occur. Nevertheless, lift, drag and moment coefficients show noticeable hysteresis. Despite the high amplitudes of oscillation, lift and moment coefficients show reasonable agreement with unsteady aerodynamic theories by Theodorsen and Motta et al. with regard to the width of the hysteresis loops, but have noticeably steeper slopes.
Difficult Balance Between Multidrug-Resistant Cytomegalovirus Infection and Graft-Versus-Host Disease in an Allogeneic Hematopoietic Stem Cell Transplant Recipient

We present a case of multidrug-resistant cytomegalovirus (CMV) infection in an allogeneic hematopoietic stem cell transplant recipient with graft-versus-host disease. We demonstrate evolving viral mutations with documented resistance to first-line CMV DNA polymerase inhibitors and letermovir. Leflunomide and compassionate use investigational third-party CMV-specific cytotoxic T-cell lymphocyte infusions led to reductions in CMV viremia; however, the patient succumbed to respiratory failure. This article highlights the difficult balance between immunosuppression for graft-versus-host disease therapy and refractory CMV treatment, with a review of CMVantiviral therapy.
Comparative analysis of various CT scans using the “Superimposition” feature from the Invivo 5.4 software by Anatomage

Magnetic Resonance Imaging (MRI) and Computer Tomographic (CT) scans have paved a way to more in depth and non-invasive analysis of the human body for pathological purposes. As our world delves further into the digital age, so should our medical imaging technology. The Invivo 5.4 software by Anatomage is advancing this journey in medical imaging to create even more forensic potential. The software was used to analyze two abdominal CT scans and two cranial CT scans depicting the brain to gain further insight into their conditions and potential prognoses. The “superimposition” application in the program is used to place the pre-condition scans along the same plane as the scans containing the patient’s diagnosis; this provided clarity and accuracy in determining the nature of the conditions, found to be an abdominal hemorrhagic cyst and inflammation and degeneration of the brain caused by multiple sclerosis, respectively.
Analysis of phytochemical constituents and antimicrobial properties of Cardiospermum halicacabum Linn.

Although the western medicine is evidence-based and has highly trained and skilled professionals and follows many quality control procedures, the drugs show side effects, and they are very expensive for certain diseases. These factors cause migration people from modern medicine to natural medicine. Most of the drugs which are used in the natural system of medicine are plant origin. These plants remove our body toxins in nature way without harming or damaging our system. [1] Our Indian forests are the sources of plenty of herbal plants with excellent bioactive compounds which cure complicated chronic ailments. [2] Among the plenty of medicinal plants, very few plant species have been examined for their medicinal properties. Plant species have a rich source of many biologically active compounds, but very few plant species have been thoroughly investigate for their medicinal belongings. [3,4] Research Article