Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracellular Vesicles in Myeloid Neoplasms

Myeloid neoplasms arise from malignant primitive cells, which exhibit growth advantage within the bone marrow microenvironment (BMM). The interaction between these malignant cells and BMM cells is critical for the progression of these diseases. Extracellular vesicles (EVs) are lipid bound vesicles secreted into the extracellular space and involved in intercellular communication. Recent studies have described RNA and protein alterations in EVs isolated from myeloid neoplasm patients compared to healthy controls. The altered expression of various micro-RNAs is the best-described feature of EVs of these patients. Some of these micro-RNAs induce growth-related pathways such as AKT/mTOR and promote the acquisition of stem cell-like features by malignant cells. Another well-described characteristic of EVs in myeloid neoplasms is their ability to suppress healthy hematopoiesis either via direct effect on healthy CD34+ cells or via alteration of the differentiation of BMM cells. These results support a role of EVs in the pathogenesis of myeloid neoplasms. mainly through mediating the interaction between malignant and BMM cells, and warrant further study to better understand their biology. In this review, we describe the reported alterations of EV composition in myeloid neoplasms and the recent discoveries supporting their involvement in the development and progression of these diseases.
Bayesian additive regression trees in spatial data analysis with sparse observations

ABSTRACT Recently, the Bayesian additive regression trees (BART) model has been one of the most widely used methods in the field of Bayesian nonparametrics. The spatially adjusted BART model was proposed in 2007; however, it has a limited number of applications in spatial data analysis. We propose a new version of the BART model for spatial data analysis tailored to a setting with sparse spatial observations and high-dimensional predictors. Specifically, an adjacency-based weight matrix in a conditional autoregressive prior is replaced by a new definition of weight matrix reflecting any type of spatial structures, and selection probabilities on predictors in the model take a new sparsity-inducing prior. The applicability of the proposed model is examined through a set of simulation studies. We apply the proposed model to predict the annual ambient particulate matter (PM ) concentrations for zip code locations in Massachusetts, Connecticut and Rhode Island.
CASPHAr: Cache-Managed Accelerator Staging and Pipelining in Heterogeneous System Architectures

Integrating accelerators onto the same chip with CPUs sharing the last level cache (LLC) is beneficial when CPUs and accelerators frequently exchange data. However, if shared data exceeds LLC capacity, expensive spills to and refetches from DRAM will be incurred, limiting the benefits of such integrated architectures. While this can be avoided through careful software optimizations, such as fine-grain data tiling and accelerator synchronization, this involves significant software changes and programmer effort. In this article, we introduce CASPHAr, an LLC architecture that performs automatic, software- and hardware-transparent fine-grain data staging and synchronization between CPUs and accelerators in hardware. CASPHAr tracks and synchronizes producer and consumer accesses at cache line granularity. As soon as some fraction of shared data is produced and becomes ready in the LLC, the data will be delivered for processing in the waiting consumer. Furthermore, CASPHAr extends existing replacement policies to leverage synchronization information for making better eviction decisions. All combined, CASPHAr reduces data spills due to unnecessarily long lifetimes of shared data in the cache. In addition, fine-grain staging and synchronization inherently achieves system-level pipelining of interdependent kernels that can outperform software optimizations. Results show that CASPHAr can boost performance by up to 23% and achieve energy savings of up to 22% over baseline accelerations.
Dextrin-Based Nanohydrogels for Rokitamycin Prolonged Topical Delivery

Macrolides are widely used antibiotics with a broad spectrum of activity. The development of drug carriers to deliver this type of antibiotics has attracted much research. The present study aims at developing new swellable dextrin-based nanohydrogels for the topical delivery of rokitamycin, as model macrolide. Rokitamycin is a synthetic analogous of macrolides with advantageous characteristics as far as bacterial uptake and post-antibiotic effect are concerned. It is also indicated for the treatment of severe infections caused by Acanthamoeba and for topical infections. The nanohydrogels have been prepared from two types of cross-linked polymers obtained by using β-cyclodextrin or Linecaps® was provided by the Roquette Italia SPA (Cassano Spinola, Al, Italy) as building blocks. The cross-linked polymers have been then formulated into aqueous nanosuspensions refined and tuned to achieve the incorporation of the drug. Cross-linked β-cyclodextrin (β-CD) and Linecaps® (LC) polymers formed dextrin-based nanohydrogels with high swelling degree and mucoadhesion capability. Rokitamycin was loaded into the nanohydrogels displaying an average size around 200 nm with negative surface charge. In vitro kinetic profiles of free and loaded drug in nanohydrogels were compared at two pH levels. Interestingly, a sustained and controlled release was obtained at skin pH level due to the high degree of swelling and a pH responsiveness possibly. The results collected suggest that these nanohydrogels are promising for the delivery of rokitamycin and may pave the way for the topical delivery of other macrolide antibiotics.
Quality of Life, Psychological State, and Cognitive Emotion Regulation Strategies in Allergic Rhinitis Patients vs Healthy Population: A Comparative Study

Objective: Allergic rhinitis, as a global health problem, accounts for several psychological disorders, including fatigue, mood changes, depression, anxiety, and disrupted Quality of Life. How people cope with the symptoms of this disease is essential. The present research is pioneering in comparing the QoL, psychological state, and cognitive emotion regulation strategies of patients with allergic rhinitis and healthy individuals. Methods: Aligned with the purpose of the study, 132 patients and 132 healthy subjects were assigned to two groups. Both groups responded to the QoL symptom checklist (SCL90) and a short form of the Cognitive Emotion Regulation Questionnaire (CERQ). One-way multivariate analysis of variance (MANOVA) was run to make between-group comparisons. Results: The findings revealed that allergic patients had a lower QoL. Similarly, the two groups showed statistically significant differences in physical health, environmental life, and overall QoL. Clinical symptoms prevailed more in the allergic group compared to the healthy. Also, these two groups differed significantly regarding somatization, interpersonal sensitivity, and anxiety sub-scales. The healthy group used more adaptive cognitive emotion regulation strategies (for instance, acceptance and positive reevaluation) than the allergic group. In addition, statistically significant divergences were found in the catastrophizing strategy, which prevailed more in the allergic group. Conclusion: Given the present findings, patients with allergic rhinitis have lower psychological health and QoL compared to the healthy population. These unfavorable conditions can result from inefficient use of cognitive emotion regulation strategies that mutually link allergic and clinical symptoms to the patients’ QoL.
Microfoamed Strands by 3D Foam Printing

We report the design, production, and characterization of microfoamed strands by means of a green and sustainable technology that makes use of CO2 to create ad-hoc innovative bubble morphologies. 3D foam-printing technology has been recently developed; thus, the foaming mechanism in the printer nozzle is not yet fully understood and controlled. We study the effects of the operating parameters of the 3D foam-printing process to control and optimize CO2 utilization through a maximization of the foaming efficiency. The strands’ mechanical properties were measured as a function of the foam density and explained by means of an innovative model that takes into consideration the polymer’s crystallinity content. The innovative microfoamed morphologies were produced using a bio-based and compostable polymer as well as polylactic acid and were then blown with CO2. The results of the extensive experimental campaigns show insightful maps of the bubble size, density, and crystallinity as a function of the process parameters, i.e., the CO2 concentration and temperature. A CO2 content of 15 wt% enables the acquirement of an incredibly low foam density of 40 kg/m3 and porosities from the macro-scale (100–900 μm) to the micro-scale (1–10 μm), depending on the temperature. The foam crystallinity content varied from 5% (using a low concentration of CO2) to 45% (using a high concentration of CO2). Indeed, we determined that the crystallinity content changes linearly with the CO2 concentration. In turn, the foamed strand’s elastic modulus is strongly affected by the crystallinity content. Hence, a corrected Egli’s equation was proposed to fit the strand mechanical properties as a function of foam density.
Study of biochemical and sperm parameters in infertile males with diabetes mellitus

World Health Organization has stated Infertility as a medical condition in which an individual has the inability to conceive even after one year of regular unprotected active sexual intercourse. Presently, Infertility has been a major condition, which is multifactorial in nature and is supposed to have been affected approximately about 15% to 20% of the couples who are desperate for pregnancy. The contributory factors for male infertility may be of different factors comprising of complex pathogenesis, change in lifestyle, other organic diseases, genetic factors, environmental risk factors and their interactions. The patients with subnormal semen parameters are advised for blood hormonal analysis tests as these hormonal tests are more reliable and valid in the further proper management of the infertility [11]. These hormonal tests include Follicle Stimulation Hormone (FSH), Testosterone, Luteinizing Hormone (LH), Prolactin. This cross section study was done in 100 males, 50 diabetic infertile men and 50 non-diabetic fertile men. Semen samples were obtained by masturbation after 2–7 days of sexual abstinence. The Semen Samples were analyzed as per the instructions given in the WHO manual for semen analysis.
Peer‐induced cocaine seeking in rats: Comparison to nonsocial stimuli and role of paraventricular hypothalamic oxytocin neurons

The purpose of this study was to determine if social vs nonsocial cues (peer vs light/tone) can serve as discriminative stimuli to reinstate cocaine seeking. In addition, to assess a potential mechanism, an oxytocin (OT) promoter‐linked hM3Dq DREADD was infused into the paraventricular nucleus of the hypothalamus to determine whether peer‐induced cocaine seeking is decreased by activation of OT neurons. Male rats underwent twice‐daily self‐administration sessions, once with cocaine in the presence of one peer (S+) and once with saline in the presence of a different peer (S−). Another experiment used similar procedures, except the discriminative stimuli were nonsocial (constant vs flashing light/tone), with one stimulus paired with cocaine (S+) and the other paired with saline (S−). A third experiment injected male and female rats with OTp‐hM3Dq DREADD or control virus into PVN and tested them for peer‐induced reinstatement of cocaine seeking following clozapine (0.1 mg/kg). Although acquisition of cocaine self‐administration was similar in rats trained with either peer or light/tone discriminative stimuli, the latency to first response was reduced by the peer S+, but not by the light/tone S+. In addition, the effect of the conditioned stimulus was overshadowed by the peer S+ but not by the light/tone S+. Clozapine blocked the effect of the peer S+ in rats receiving the OTp‐hM3Dq DREADD virus, but not in rats receiving the control virus. These results demonstrate that a social peer can serve as potent trigger for drug seeking and that OT in PVN modulates peer‐induced reinstatement of cocaine seeking.
Effect of maxillary molar intrusion on surrounding bone density during treatment of anterior open bite

The aim of the current work is to estimate the impact of posterior maxillary intrusion on the surrounding bone intensity during correction of anterior open bite (AOB). The sample was 14 patients suffering from mild to moderate (3-5mm) anterior open bite with increased posterior maxillary vertical height. This study sample was allocated into two groups according to the corticotomy the approach. Buccal miniplates and palatal mini screws were used as skeletal anchorage for maxillary molars’ intrusion. The density of the alveolar bone related to right and left maxillary first permanent molars were measured 4.5 months after intrusion commencement. The study revealed that the alveolar bone density of right and left first permanent molars had statistically significant decreases. In the right side, buccal and palatal cortical density had statistically significant decrease, however it was non significant for left both cortical bone. Absolute molar intrusion could be attained by skeletal anchorage miniplates and mini screws in patients with frontal open bite malocclusion. The variation of bone intensity between buccal and palatal sides may account for the variance bone thickness changes after intrusion from the buccal to the palatal sides.
YOLO based deep learning on needle-type dashboard recognition for autopilot maneuvering system

Developing a fully automatic auxiliary flying system with robot maneuvering is feasible. This study develops a control vision system that can read all kind of needle-type meters. The vision device in this study implements a modified YOLO-based object detection model to recognize the airspeed readings from the needle-type dashboard. With this approach, meter information in the cockpit is replaced by a single camera and a powerful edge-computer for future autopilot maneuvering purpose. A modified YOLOv4-tiny model by adding the Spatial Pyramid Pooling (SPP) and the Bidirectional Feature Pyramid Network (BAFPN) to the Neck region of the convolutional neural networks (CNN) structure is implemented. The Taguchi method for acquiring a set of optimum hyperparameters for the CNN is applied. An improved deep learning network with higher Mean Average precision (mAP) compared with conventional YOLOv4-tiny and possessing a higher Frames Per Second (FPS) value than YOLOv4 is deployed successfully. Established a self-control system using a camera to receive airspeed indications from the designed virtual needle-type dashboard. Moreover, the dashboard’s pointer is controlled by applying the proposed control method, which contains PID control in addition to the pointer’s rotation angle recognition. A modified YOLOv4-tiny model with a fabricated system for visual dynamical recognition control is implemented successfully. The feasibility of bettering mean accuracy precision and frame per second in achieving autopilot maneuvering is verified.
Assessing Growth Performance and Yield of Okra (Abelmoschus esculentus (L.) Moench) Using Slow-Release Fertilizer

The agricultural sector has contributed to environmental pollution, such as water and air pollution caused by the fertiliser used in agriculture is lost into the river or to the air through the leaching process. Studies in the literature have shown that slow-release fertiliser (SRF) application could help overcome the leaching problem as it releases its nutrients slower. In other words, SRF is expected to help maintain the nutrients' availability in the soil for a more extended period and extends the plants' nutrient uptake efficiency. The experimental design for this study was completely randomized design with 4 different treatments T0 (control) was treatment without fertilizer application; T1 (SRF applied once in a month); T2 (CF applied once in a month); T3 (SRF applied twice in a month) and T4 (CF applied twice in a month). This study aimed to compare the plant growth rate (plant height, number of leaves and plant yield) of using SRF and conventional fertiliser (CF) on okra (Abelmoschus esculentus L. Moench). This study shows that SRF does show a good option to promote the growth development of okra (plant height, number of leaves and chlorophyl content) but not on the yield.
The (non) accuracy of mitochondrial genomes for family‐level phylogenetics in Erebidae (Lepidoptera)

The use of molecular data to study the evolutionary history of organisms has revolutionized the field of systematics. Now with the appearance of high throughput sequencing (HTS) technologies, more and more genetic sequence data are available. One of the important sources of genetic data for phylogenetic analyses has been mitochondrial DNA. The limitations of mitochondrial DNA for the study of phylogenetic relationships have been thoroughly explored in the age of single locus phylogenetic studies. Now with the appearance of genomic scale data, increasing number of mitochondrial genomes are available, leading to an increasing number of mitophylogenomic studies. Here, we assemble 47 mitochondrial genomes using whole genome Illumina short reads from representatives of the family Erebidae (Lepidoptera), in order to evaluate the accuracy of mitochondrial genome application in resolving deep phylogenetic relationships. We find that mitogenomes are inadequate for resolving subfamily‐level relationships in Erebidae, but given good taxon sampling, we see its potential in resolving lower level phylogenetic relationships.
Using HeuristicsMiner to Analyze Problem-Solving Processes: Exemplary Use Case of a Productive-Failure Study

This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed us to investigate temporally structured think-aloud data, to outline productive and unproductive problem-solving strategies. Our analyses and findings demonstrated that HeuristicsMiner enables researchers to effectively mine problem-solving processes and sequences, even for smaller sample sizes, which cannot be done with traditional code-and-count strategies. The limitations of the algorithm, as well as further implications for educational research and practice, are also discussed.
Challenges of parents with children with intellectual and neurodevelopmental disorders during COVID-19: Experiences and their impact on mental health

ABSTRACT Background Parents of children with intellectual and neurodevelopmental disorders are a highly burdened group that faces additional challenges during the COVID-19 pandemic. Methods In this study, parents of children with intellectual and neurodevelopmental disorders (N = 600) living in Canada participated in a cross-sectional online survey. Results More than 96% of the parents reported facing additional challenges due to the pandemic. COVID-19-related stressors correlated with poorer mental and physical health. Parents who reported a higher amount of COVID-19-related stressors also reported more post-traumatic stress disorder (PTSD) symptoms. Discussion Resuming and implementing new services for children with intellectual and neurodevelopmental disorders and their parents will be key in alleviating the challenges for those parents.
Rapid Detection of Beta-Lactamases Genes among Enterobacterales in Urine Samples by Using Real-Time PCR

The objective of this study was to develop and evaluate newly improved, rapid, and reliable strategies based on real-time PCR to detect the most frequent beta-lactamase genes recorded in clinical Enterobacterales strains, particularly in Tunisia (blaSHV12, blaTEM, blaCTX-M-15, blaCTX-M-9, blaCMY-2, blaOXA-48, blaNDM-1, and blaIMP) directly from the urine. Following the design of primers for a specific gene pool and their validation, a series of real-time PCR reactions were performed to detect these genes in 78 urine samples showing high antibiotic resistance after culture and susceptibility testing. Assays were applied to DNA extracted from cultured bacteria and collected urine. qPCR results were compared for phenotypic sensitivity. qPCR results were similar regardless of whether cultures or urine were collected, with 100% sensitivity and specificity. Out of 78 multiresistant uropathogenic, strains of Enterobacterales (44 E. coli and 34 K. pneumoniae strains) show the presence of the genes of the bla group. In all, 44% E. coli and 36 of K. pneumoniae clinical strains harbored the bla group genes with 36.4%, 52.3%, 70.5%, 68.2%, 18.2%, and 4.5% of E. coli having blaSHV-12, blaTEM, blaCTX-M 15, blaCTX-M-9, blaCMY-2, and blaOXA-48 group genes, respectively, whereas 52.9%, 67.6%, 76.5%, 35.5%, 61.8, 14.7, and 1.28% of K. pneumoniae had blaSHV-12, blaTEM, blaCTX-M 15, blaCTX-M-9, blaCMY-2, blaOXA-48, and blaNDM-1 group genes, respectively. The time required to have a result was 3 hours by real-time PCR and 2 to 3 days by the conventional method. Resistance genes of Gram-negative bacteria in urine, as well as cultured bacteria, were rapidly detected using qPCR techniques. These techniques will be used as rapid and cost-effective methods in the laboratory. Therefore, this test could be a good candidate to create real-time PCR kits for the detection of resistance genes directly from urine in clinical or epidemiological settings.
Overreaction and momentum in the Vietnamese stock market

PurposeAlthough the solid empirical proof of momentum is documented in various stock markets, there are many debates among academics with respect to the source of momentum profit. The first aim of this paper is intensively re-examine the momentum profit in Vietnam, an important emerging market. Secondly, the authors study the return predictability of a measure of investors’ overreaction, then examine whether the momentum effect in Vietnam is explained by overreaction.Design/methodology/approachUsing the weekly data of more than 300 non-financial Vietnamese stocks during 2009–2019, the authors build a measure of investors’ overreaction, which is based on trading volume and the sign of stock returns. Consequently, to investigate whether momentum exits after controlling for overreaction, the authors carefully compare trading strategies based on overreaction with price momentum strategies using adjusted returns and double sorts on past returns and levels of overreaction.FindingsThe article makes three main findings. Firstly, the authors discover the empirical evidence of momentum in the Vietnamese equity market. Secondly, the measure of overreaction could be a predictor of Vietnamese stock returns. Stocks that have experienced a stronger upward overreaction provide a higher average return. Finally, returns on trading strategies based on overreaction are robust after adjusting for momentum, while returns on momentum portfolios become insignificant after adjusting for overreaction. By double-sorting, the authors document that holding past returns constant, the average returns of portfolios rise monotonically with their measure of overreaction. Hence, the momentum profit in Vietnam arises from investors’ overreaction.Originality/valueThe paper extends previous research on the behavioral explanation of momentum in emerging stock markets, which has not been fully exploited in the literature.