Miracle-dz/UniFAR-FTUs huggingface dataset:
AirMouse: Turning a Pair of Glasses Into a Mouse in the Air

This paper introduces a novel hand-free human–computer interaction system called AirMouse, which turns a common pair of glasses into a mouse to enable the interaction between computers and humans, especially for disabled people. The basic idea is to simulate mouse operations with head activities without using hands. To this end, an embedded device is attached to a pair of glasses, which leverages the gyroscope to accurately detect head activities and map them to corresponding mouse operations on devices (e.g., computers and smart TVs). In particular, AirMouse uses activities to simulate mouse operations instead of tracking the gaze or the head movements in the real-time manner. This provides flexibility to users allowing them to control devices even far away or not at front of the devices. We implement a prototype of AirMouse with the personalized pretraining module and the motion detection module, which is featured with low-cost, accurate, easy-to-use and real-time interaction, and evaluate AirMouse with 20 volunteers. The experimental results show that AirMouse achieves accurate, reliable, and real-time activity recognition and interaction. Specially, the technique of AirMouse can be integrated into wearable devices (e.g., smart glasses) to enrich their interaction functionalities.
Improving the Efficacy of Liver Cancer Immunotherapy: The Power of Combined Preclinical and Clinical Studies

Hepatocellular carcinoma (HCC) is a most deadly malignant disease worldwide, with no effective mechanism‐based therapy available. Therefore, following the “miracle” outcomes seen in a few patients at the advanced stages of melanoma or lung cancer, the immune checkpoint inhibitors (ICIs) immediately entered clinical trials for advanced HCC patients without pre‐clinical studies. Emerging data of clinical studies showed manageable toxicity and safety but limited therapeutic benefit to HCC patients, suggesting low response rate. Thus, one urgent issue is how to convert the liver tumors from cold to hot and responsive, which may rely on in‐depth mechanistic studies in animal models and large scale data analysis in human patients. One ongoing approach is to design combinatorial treatment of different ICIs with other reagents and modalities. Indeed, a phase 3 clinical trial showed that combination of atezolizumab and bevacizumab achieved better overall and progression‐free survival rates than sorafenib in unresectable HCC. This review highlights the value of animal models and the power of combining pre‐clinical and clinical studies in efforts to improve HCC immunotherapy.
C‐Kit+ progenitors restore rat asthmatic lung function by modulation of T‐bet and GATA‐3 expression

What is the central question of this study? The aim of the experiment was to highlight the regenerative capacity of bone marrow Kit+ cells in the restoration of asthmatic pulmonary function in the rat model. What is the main finding and its importance? Data showed that these cells were recruited successfully to the asthmatic niche after intratracheal administration and accelerated the regeneration of asthmatic lungs by the modulation of inflammation via the control of Gata3 and Tbx21 expression, leading to decreased tracheal responsiveness to methacholine and reduction of pathological remodelling.
Practical Laboratory Tools for Monitoring of BCR-ABL1 Transcripts and Tyrosine Kinase (TK) Domain Mutations in Chronic Myeloid Leukemia Patients Undergoing TK Inhibitor Therapy: A Single-Center Experience in Thailand

Objective: The genetic hallmark of CML is known as the appearance of t(9;22)(q34.1;q11.2) (BCR-ABL1) which is present in more than 95% of cases. Here, we demonstrated practical laboratory tools for monitoring of BCR-ABL1 transcripts in chronic myeloid leukemia patients undergoing TK inhibitor therapy. Methods: Real time quantitative PCR and direct sequencing were performed for monitoring of BCR-ABL1 transcripts in 245 treated CML. Results: At month 3 after first time point of monitoring, we found that 89% (218/245), 2% (5/245), and 9% (22/245) of patients are determined as optimal, warning, and failure response, respectively. The responses to TKI were slightly decreased at months 6 as following 73% optimal (180/245), 18% warning (43/245), and 9% failure response (22/245). Additionally, responses to TKI were gradually decreased at month 12 after first time point of monitoring as following 65% optimal (160/245), 13% warning (31/245), and 22% failure (54/245). We could detect 20% (49/245) of patients positive for BCR-ABL1 TKD mutations. Interestingly, one third (17 of 49) of TKD mutated cases were positive for compound/polyclonal mutation patterns. While major molecular response were observed in the majority of patients without TKD mutation, resistant to TKI were detected in patients with T315I mutation (n = 9; % mean IS = 8.1510, % median IS = 9.7000), compound/polyclonal mutations with T315I (n = 9; % mean IS = 13.0779, % median IS = 5.404), and other TKD mutations (n = 14; % mean IS = 8.1416, % median IS = 1.060), respectively. Conlusion: These practical laboratory techniques provided a more comprehensive understanding of CML progression during drug therapy and could be of benefit in earlier prognosis.
Identification of Slco1a6 as a candidate gene that broadly affects gene expression in mouse pancreatic islets

We surveyed gene expression in six tissues in an F2 intercross between mouse strains C57BL/6J (abbreviated B6) and BTBR T+ tf /J (abbreviated BTBR) made genetically obese with the Leptinob mutation. We identified a number of expression quantitative trait loci (eQTL) affecting the expression of numerous genes distal to the locus, called trans-eQTL hotspots. Some of these trans-eQTL hotspots showed effects in multiple tissues, whereas some were specific to a single tissue. An unusually large number of transcripts (7% of genes) mapped in trans to a hotspot on chromosome 6, specifically in pancreatic islets. By considering the first two principal components of the expression of genes mapping to this region, we were able to convert the multivariate phenotype into a simple Mendelian trait. Fine-mapping the locus by traditional methods reduced the QTL interval to a 298 kb region containing only three genes, including Slco1a6, one member of a large family of organic anion transporters. Direct genomic sequencing of all Slco1a6 exons identified a non-synonymous coding SNP that converts a highly conserved proline residue at amino acid position 564 to serine. Molecular modeling suggests that Pro564 faces an aqueous pore within this 12-transmembrane domain-spanning protein. When transiently overexpressed in HEK293 cells, BTBR OATP1A6-mediated cellular uptake of the bile acid taurocholic acid (TCA) was enhanced compared to B6 OATP1A6. Our results suggest that genetic variation in Slco1a6 leads to altered transport of TCA (and potentially other bile acids) by pancreatic islets, resulting in broad gene regulation.
The impact of mobile virtual reality-enhanced relaxation training on anxiety levels in patients undergoing cardiac rehabilitation.

Procedure At the beginning of the rehabilita‐ tion process (days 1–3), each patient filled out the State ‐Trait Anxiety Inventory (STAI). Per‐ sons assigned to the experimental group partic‐ ipated in six 20‐minute relaxation training ses‐ sions, which utilized virtual reality technologies, provided via a mobile application (individual‐ ly, under psychologist’s supervision, every sec‐ ond working day). Patients in the control group took part in six 20‐minute relaxation training group sessions, conducted every second work‐ ing day by a psychologist. During the last ses‐ sion, the participants completed the STAI ques‐ tionnaires again. All patients received psycho‐ education on stress. In the experimental group, VR ‐enhanced training was conducted with the use of an Ap‐ ple iPhone 5S (Apple, Cupertino, California, United States). Exposure to VR was provided via Google Cardboard–type VR glasses (Primark, Dublin, Ireland), with the use of an application by RelaxVR (San Francisco, California, United States), which generates a natural virtual land‐ scape model accompanied by relaxation music, provided by the software. Mobile ‐type inter‐ vention was chosen based on its potential to be Introduction The role of a psychologist in the cardiac rehabilitation ward includes under‐ taking actions aimed to reduce psychological stress, known to have a negative impact on pa‐ tient prognosis. Available data indicate that anx‐ iety may increase the risk of developing heart diseases and death.1 The observations stimulate search for effective stress ‐reduction methods. In a study by Dixhoorn and Duivenvoorden,2 relax‐ ation training achieved a 31% reduction in hospi‐ talizations as compared with the control group. Enhancing relaxation training with virtual reality (VR) technologies is encouraged by re‐ ports confirming the efficacy of this method in reducing pain and stress levels in patients fol‐ lowing cardiac surgery3 and anxiety levels in post ‐trauma patients.4 The main objective of the study was to ana‐ lyze the impact of relaxation training enhanced by mobile VR on anxiety levels in patients un‐ dergoing cardiac rehabilitation.
Representation of Intimate Partner Violence Against Women in Swedish News Media: A Discourse Analysis

Despite being rated as some of the world’s most gender equal countries, Sweden and neighboring Nordic nations show high rates of intimate partner violence against women (IPVAW). As the news media contribute to the shaping of public attitudes, this article pursues a two-step discourse analysis of how IPVAW was represented in seven Swedish newspapers during 2018. Although an individualistic discourse on IPVAW was found to be most prevalent, articles where perpetrators were presented as non-Swedish more frequently contained a structural framing of IPVAW. This confirms previously noted tendencies toward individualization and othering of IPVAW in Sweden.
Hypertension is a risk factor for adverse outcomes in patients with coronavirus disease 2019: a cohort study

Abstract Background Comorbidities are commonly seen in patients with coronavirus disease 2019 (COVID-19), but the clinical implication is not yet well-delineated. We aim to characterize the prevalence and clinical implications of comorbidities in patients with COVID-19. Methods This is a retrospective multi-centre study involving patients admitted between January 16th and March 10th 2020. The composite endpoint was defined as the presence of at least one of the following, intensive care unit (ICU) admission, or the need for mechanical ventilation, or death. Results A total of 472 consecutive cases admitted to 51 certified COVID-19 tertiary care hospitals were enrolled (median age was 43 [32–53.5] years and 53.0% were male). There were 101 (21.4%) patients presented with comorbidities, including hypertension (15.0%), diabetes mellitus (7.8%), coronary artery disease (2.6%), chronic obstructive pulmonary disease (1.3%) and cerebrovascular disease (1.9%). The composite endpoint occurred in 65 (13.8%) patients. Multivariate stepwise logistic regression analysis indicated that older age (odds ratio [OR] 1.39, 95% confidence interval (CI) 1.05–1.85, per 10-year increment), antecedent hypertension (OR 2.82, 95% CI 1.09–7.29), neutrophil counts (OR 1.33, 95% CI 1.14–1.56) and lactate dehydrogenase level (OR 1.01, 95% CI 1.00–1.01) were independently associated with the presence of composite endpoint. Hypertensive patients, compared with controls, had a greater chance of experiencing the composite endpoint (p < .001) and each individual endpoint, i.e. ICU admission (p < .001), mechanical ventilation (p < .001) and death (p = .012). In the stepwise regression analysis of anti-hypertensive medications, none of the therapy predicted the composite endpoint. Conclusions Hypertension is a common comorbidity in patients with COVID-19 and associated with adverse outcomes. KEY MESSAGES Hypertension was identified as the comorbidity associated with the prognosis of COVID-19 in this retrospective cohort. Patients with hypertension could experience an increased risk of the composite endpoint. Anti-hypertensive therapy did not affect patient outcomes.
Status and Potential of Single‐Cell Transcriptomics for Understanding Plant Development and Functional Biology

The advent of modern “omics” technologies (genomics, transcriptomics, proteomics, and metabolomics) are attributed to innovative breakthroughs in genome sequencing, bioinformatics, and analytic tools. An organism's biological structure and function is the result of the concerted action of single cells in different tissues. Single cell genomics has emerged as a ground‐breaking technology that has greatly enhanced our understanding of the complexity of gene expression at a microscopic resolution and holds the potential to revolutionize the way we characterize complex cell assemblies and study their spatial organization, dynamics, clonal distribution, pathways, function, and networking. Mammalian systems have benefitted immensely from these approaches to dissect complex systems such as cancer, immunological disorders, epigenetic controls of diseases, and understanding of developmental biology. However, the applications of single‐cell omics in plant research are just starting. The potential to decipher the fundamentals of developmental and functional biology of large and complex plant species at the single‐cell resolution are now becoming important drivers of research. In this review, we present the status, challenges and potential of one important and most commonly used single‐cell omics technique in plants, namely single cell transcriptomics. © 2020 International Society for Advancement of Cytometry
Risk management of shallot supply chain using failure mode effect analysis and analytic network process (case study in Batu, East Java)

Shallot is one of the perishable horticultural commodities. Therefore, proper supply chain management is needed. This study aimed to identify risks from each supply chain actor, as well as to carry out risk measurement, and formulate priority risk mitigation strategies from the shallot supply chain. The methods used in this study were failure mode effect analysis (FMEA) and (analytic network process) ANP. The FMEA method was used to measure the priority risks that have been identified. While, ANP was used for weighting strategies in determining supply chain risk mitigation strategies. Research results showed that there are several risks identified by supply chain actors. Priority risks for the supply chain of farmers (suppliers) were risks related to government policies, namely import-related policies. Distributor supply chain priority risk was the risk associated with competition with imported shallots, and the risk of retailer supply chain priority was the risk of competitors with other retailers. There were six alternative mitigation strategies, the highest priority was choosing the right variety followed by maintaining quality, increasing promotion, forging partnerships, maintaining supply and maintaining price stability.
Pharmacokinetics of acetaminophen after intravenous and oral administration in fasted and fed Labrador Retriever dogs.

Acetaminophen (paracetamol) is used in dogs to manage fever and mild pain. The aim of this study was to assess the pharmacokinetics of acetaminophen in both fed and fasted Labrador Retrievers after a single intravenous and oral administration (20 mg/kg). Six healthy dogs underwent three treatments in a randomized block study (a, n = 2; b, n = 2; c, n = 2). In phase one, group a received acetaminophen intravenously, group b and c orally after being fasted and fed, respectively. In phase two and three, groups were swapped, and the experiment was repeated. At the end of the trial, each dog received the same treatment. Acetaminophen plasma concentrations were detected using a validated HPLC-UV method. The pharmacokinetic analysis was performed using a noncompartmental model. Clearance, volume at steady state and half-life of acetaminophen in Labrador Retrievers were 0.42 L/kg hr, 0.87 L/kg and 1.35 hr, respectively. No significant statistical differences were found between fasted and fed dogs regarding maximum plasma concentration, time at maximum concentration and bioavailability as measured by the AUC. Feeding does not significantly affect the acetaminophen oral pharmacokinetics.
VASCULAR PLANT BREAKDOWN IN FRESHWATER ECOSYSTEMS

That major flows of energy occur along detrital pathways in all ecosystems is a recent recognition. In freshwater ecosystems, detritus or dead organic matter (217) has two possible sources: autochthonous detritus generated within the ecosystem and allochthonous detritus generated externally. This review is concerned with the breakdown of vascular plant detritus whether autochthonous, from aquatic vascular plants, or allochthonous, derived from riparian trees and herbs. The importance to the energetics of streams of vascular plant material from riparian vegetation was recognized in early studies by Nelson & Scott (184), Egglishaw (85), and Minshall (175). Organic matter budgets for various streams have provided quantitative data to support these early observations (96, 132, 182, 254). However, many low-order streams that lack canopies of riparian vegetation may be dominated by autochthonous primary production of nonvascular plant origin. (72, 176). Theoretical models (256) predict increasing importance of autochthonous production by periphyton and aquatic vascular plants for middle-order streams but less importance of these sources in very large streams, mainly due to light limitation. The relative dominance of allochthonous vs autochthonous sources has been shown to vary between stream systems and with local conditions within streams (72, 178). While vascular plant leaves have received most attention in stream research, there is growing recognition that wood is also important. The direct contribution of wood to stream energy budgets is minimal because wood is resistant to breakdown (e.g. 8, 251). However, woody debris is indirectly important because it creates habitat for aquatic organisms (5), promotes
Toxicity of Saffron Extracts on Cancer and Normal Cells: A Review Article

Background and Aim: Medicinal plants have played an important role in human health since the Stone Age. According to WHO, 80% of Asian and African people rely on traditional medicine and medicinal plants to conserve their health. Saffron has received much attention among the herbal compounds related to cancer treatment. Methods: This review aims to provide an overview of in-vitro and in-vivo evaluation molecule mechanism for anti-tumor activity, cancer preventing and protective effects of saffron extract. The review is based on the available data accessible in PubMed, Science Direct, Google Scholar, Magiran.ir, and SID.ir databases. Results: Saffron has selective toxic and preventive effects on cancerous cells and without adverse effects on normal cells and prevents tumor formation. Saffron appears to reduce the toxic effects of anticancer drugs. Saffron has toxicity effects when used in high amounts, which are far greater than those are used in human food culture. Conclusions: Considering the observed effects of saffron on the removal of cancer cells, saffron extract can be used in the treatment and prevention of cancer after confirmation in human clinical trials. According to the high IC50 of saffron extracts in normal cells, its toxicity against non-cancerous cells is low and its use is safe. Besides, the studies suggested the cytotoxic effects of saffron on some of the more cancers, including nervous system cancer and common cancers. Further studies are required to determine the effective dose and influence of mechanism of saffron in various animal type of cancers.
Conducting research in clinical practice: Challenges in the assessment and treatment of childhood internalizing disorders

The relation between maternal depressive symptoms and children’s mental health problems has been well established. However, prior studies have predominantly focused on maternal reports of children’s mental health problems and on parenting behavior, as a broad and unilateral concept. This cross-sectional study examined specific observed mother-child interaction behaviors through which maternal depressive symptoms are assumed to affect children’s mental health problems. We expected higher rates of maternal depressive symptoms to predict higher rates of children’s mental health problems, and we expected this relation to be mediated by low maternal warmth and high maternal psychological control. The sample consisted of 111 mother-child dyads referred for treatment. The mother-child interaction behaviors were coded according to the observed mother-child interaction tasks. Children’s mental health problems were assessed using both maternal reports and children’s self-reports. As expected, the results showed that maternal depressive symptoms were strongly related to maternal reports of children’s internalizing and externalizing mental health problems. Surprisingly, maternal depressive symptoms were unrelated to children’s self-reported depressive symptoms. Furthermore, mother-child interactions did not mediate the relation between maternal depressive symptoms and child mental health problems. Maternal depressive symptoms were associated with low maternal warmth, and high psychological control was associated with high levels of mother-reported externalizing mental health problems in children. These results partially replicate previous findings but add to these by using observational methods and multi-informant data. The importance of using a multi-informant and multi-method approach in assessing children’s mental health problems in clinical practice and research are discussed.
Homology modeling and in silico design of novel and potential dual-acting inhibitors of human histone deacetylases HDAC5 and HDAC9 isozymes

Abstract Histone deacetylases (HDACs) are a group of enzymes that have prominent and crucial effect on various biological systems, mainly by their suppressive effect on transcription. Searching for inhibitors targeting their respective isoforms without affecting other targets is greatly needed. Some histone deacetylases have no crystal structures, such as HDAC5 and HDAC9. Lacking proper and suitable crystal structure is obstructing the designing of appropriate isoform selective inhibitors. Here in this study, we constructed human HDAC5 and HDAC9 protein models using human HDAC4 (PDB:2VQM_A) as a template by the means of homology modeling approach. Based on the Z-score of the built models, model M0014 of HDAC5 and model M0020 of HDAC9 were selected. The models were verified by MODELLER and validated using the Web-based PROCHECK server. All selected known inhibitors displayed reasonable binding modes and equivalent predicted Ki values in comparison to the experimental binding affinities (Ki/IC50). The known inhibitor Rac26 showed the best binding affinity for HDAC5, while TMP269 showed the best binding affinity for HDAC9. The best two compounds, CHEMBL2114980 and CHEMBL217223, had relatively similar inhibition constants against HDAC5 and HDAC9. The built models and their complexes were subjected to molecular dynamic simulations (MD) for 100 ns. Examining the MD simulation results of all studied structures, including the RMSD, RMSF, radius of gyration and potential energy suggested the stability and reliability of the built models. Accordingly, the results obtained in this study could be used for designing de novo inhibitors against HDAC5 and HDAC9. Communicated by Ramaswamy H. Sarma