Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic regulatory pathways of split‐hand/foot malformation

Split‐hand/foot malformation (SHFM) is caused by mutations in TP63, DLX5, DLX6, FGF8, FGFR1, WNT10B, and BHLHA9. The clinical features of SHFM caused by mutations of these genes are not distinguishable. This implies that in normal situations these SHFM‐associated genes share an underlying regulatory pathway that is involved in the development of the central parts of the hands and feet. The mutations in SHFM‐related genes lead to dysregulation of Fgf8 in the central portion of the apical ectodermal ridge (AER) and subsequently lead to misexpression of a number of downstream target genes, failure of stratification of the AER, and thus SHFM. Syndactyly of the remaining digits is most likely the effects of dysregulation of Fgf‐Bmp‐Msx signaling on apoptotic cell death. Loss of digit identity in SHFM is hypothesized to be the effects of misexpression of HOX genes, abnormal SHH gradient, or the loss of balance between GLI3A and GLI3R. Disruption of canonical and non‐canonical Wnt signaling is involved in the pathogenesis of SHFM. Whatever the causative genes of SHFM are, the mutations seem to lead to dysregulation of Fgf8 in AER cells of the central parts of the hands and feet and disruption of Wnt‐Bmp‐Fgf signaling pathways in AER.
[Validity and reliability of the self-efficacy to regulate exercise scale in patients with metabolic syndrome].

OBJECTIVE Self-efficacy refers to beliefs in individuals' own capacities to do something. With the intent of evaluate the validity and reliability, we investigated the psychometric properties of the Self-Efficacy to Regulate Exercise Scale (SERES) in patients with metabolic syndrome (MetS). METHODS 135 participants with medical diagnosis of MetS took part in the study (Mage=55.5, SD=7.6). We investigated sociodemographic, psychological, and life-style variables. Participants were recruited at the Hospital Universitario Virgen de las Nieves (HUVN) in Granada (Spain) between 2013 and 2014. In order to characterise the sample, descriptive statistics were used. Factorial analysis, internal consistency and convergent reliability of the SERES were also calculated. Group differences were investigated using Student's t test. RESULTS A solution with two factors was extracted, which explained 72.7% of the variance of the SERES. The internal consistency values for the total score of the SERES were (0.925 and 0.864) according to the values of Cronbach's alpha and Guttman's two halves, respectively. Significant correlations of the SERES were detected for with physical exercise, assertiveness, stress, anger, and active life-style (e.g., renouncing to sedentary behaviours). CONCLUSIONS This was the first study to report on psychometric properties of the SERES. Results supported the adequacy of the measure for use with patients with MetS. SERES seemed to be useful in evaluating self-efficacy in relation to physical exercise, psychosocial, and lifestyle variables.
miR-141-3p is a key negative regulator of the EGFR pathway in osteosarcoma

Background Many studies have used miRNA to modulate osteosarcoma development by regulating protein expression, and these studies showed that the expression of EGFR is increased in osteosarcoma. Methods Western blot, real-time PCR and immunohistochemical were used to detect the expression of EGFR and miR-141 in osteosarcoma tissues and cells. The correlation between miR-141 and the grading of osteosarcoma and the correlation with the survival time of the patients were analyzed. After predicting the target effect of miR-141 on EGFR by miRDB, correlation analysis was used to analyze the correlation between miR-141 and EGFR. Luciferase reporter gene, western blot and real-time PCR were used to detect the targeting effect of miR-141 on EGFR. Then we detected the effect of miR-141 on proliferation by MTT and PI staining. The effect of miR-141 on cell apoptosis was detected by Hochest33258 and AV-PI staining, and the effect of miR-141 on cell migration was detected by Transwell. The regulatory effects of miR-141 on related proteins were detected by western blot and real-time PCR. Finally, we transfected EGFR and EGFR DEL (mutation with miR-141 binding site) in osteosarcoma cells, and detected the effects of miR-141 on cell proliferation, apoptosis, migration and related proteins. Results The expression of miR-141-3p was negatively correlated with the expression of EGFR in osteosarcoma. The overexpression of miR-141-3p was not only closely related to the classification and size of the osteosarcoma but also had a negative effect on the growth and migration of the osteosarcoma through negative regulation of the expression of EGFR. MiR-141 can inhibit the growth and metastasis of osteosarcoma cells by targeting EGFR and affecting its downstream pathway proteins. Conclusion Our study provides miR-141-3p may be a new theoretical basis for the treatment of osteosarcoma.
Comorbidities and complications of polycystic ovary syndrome: An overview of systematic reviews

Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies affecting reproductive‐aged women with adverse reproductive, metabolic and psychological outcomes. It has a complex pathophysiology and therefore requires a multidiscipline clinical approach. However, there remains limited research synthesizing the broad clinical implications of PCOS which would assist clinicians in the management of PCOS.
Decreased Number and Expression of nNOS-Positive Interneurons in Basolateral Amygdala in Two Mouse Models of Autism

The basolateral amygdala (BLA) controls socio-emotional behaviors and is involved in the etiology of autism. We have recently shown that virtually every neuronal nitric oxide synthase (nNOS) positive cell is a GABAergic inhibitory interneuron in the mouse BLA. Here, stereology was used to quantify the number of nNOS-expressing interneurons in valproic acid (VPA)-exposed C57BL/6J (B6) and BTBR T+Itpr3tf/J (BTBR) mice models of autism. Additionally, the protein and mRNA levels of nNOS in the BLA were quantitatively assessed by western blot and qRT-PCR analysis, respectively. Our results showed the decreased number of nNOS interneurons in the BLA of animal models relative to autism. Consistently, nNOS was significantly reduced in the VPA-exposed and BTBR mice at both protein and mRNA levels. Together, these preliminary findings suggest that down-regulation of nNOS may be an attractive target for the pharmacological intervention in autism.
Overarching Computation Model (OCM)

Existing models of computation, such as a Turing machine (hereafter, TM), do not consider the agent involved in interpreting the outcome of the computation. We argue that a TM, or any other computation model, has no significance if its output is not interpreted by some agent. Furthermore, we argue that including the interpreter in the model definition sheds light on some of the difficult problems faced in computation and mathematics. We provide an analytic process framework to address this limitation. The framework can be overlaid on existing concepts of computation to address many practical and philosophical concerns such as the P vs NP problem. In addition, we argue that the P vs NP problem is reminiscent of existing computation model which does not account for the person that initiates the computation and interprets the intermediate and final output. We utilize the observation that deterministic computational procedures lack fundamental capacity to fully simulate their non-deterministic variant to conclude that the set NP cannot be fully contained in P. Deterministic procedure can approximate non-deterministic variant to some degree. However, the logical implication of the fundamental differences between determinism and non-determinism is that equivalence of the two classes is impossible to establish.
Wogonin Attenuates Isoprenaline-Induced Myocardial Hypertrophy in Mice by Suppressing the PI3K/Akt Pathway

Many studies have focused on identifying therapeutic targets of myocardial hypertrophy for the treatment of correlative cardiac events. Wogonin is a natural flavonoid compound that displays a potent anti-hypertrophic effect. Knowledge of its pharmacological mechanisms might reveal an effective way to search for therapeutic targets. Myocardial hypertrophy was replicated by the subcutaneous implantation of an isoprenaline mini-pump in mice or isoprenaline treatment of H9C2 cells. Pathologic changes in cardiac structure were assessed by echocardiographic and histological examinations. The signaling transduction in hypertrophy-promoting pathways and the genes involved were detected by western blot and RT-qPCR. Wogonin significantly attenuated isoprenaline-induced myocardial hypertrophy in vivo and in vitro by suppressing phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) hypertrophy-promoting pathway. Wogonin promoted the ubiquitination and degradation of PI3K catalytic subunit alpha (Pik3ca), the catalytic subunit of PI3K, which was upregulated by isoprenaline treatment. Wogonin also increased the expression of neural precursor cells expressing developmentally down-regulated gene 4-like (Nedd4l), the ubiquitin E3 ligase of Pik3ca. Therefore, wogonin targets Nedd4l to induce the degradation of Pik3ca, which reverses the over-activation of the PI3K/Akt pathway and consequently relieves the isoprenaline-induced myocardial hypertrophy.
Using integrated technology to create quality care for older adults: a feasibility study

ABSTRACT Purpose: Slow changes in older adults’ health status are often not detected until they escalate. Our aim was to understand if e-technology can enhance the safety and quality of older adult care by detecting changes in health status early. Methods: E-technology was implemented with 30 seniors in an assisted living facility. We used wireless devices to monitor blood pressure, oxygen saturation, weight, and hydration. This 1-year feasibility study included: a readiness assessment, procuring devices, developing an alert software, training staff, and weekly monitoring for several months. Results: Analysis of service utilization data showed no significant differences in number of emergency or hospital visits between the intervention and control group. Qualitative data suggested residents were satisfied with the e-technology. Among staff, several saw value in weekly monitoring, however staff emphasized the need for devices to be suitable for older adults. Conclusion: It is imperative that researchers work with facilities to ensure there is value-added in implementing new technology. Staff feedback helped fine-tune devices, training materials, and measurement process. It took longer than anticipated to procure suitable devices, set up the software, and recruit residents, thus limiting data collection. Future studies should dedicate more time to implementation and propose longer timelines.
Un ACA sincère comme compagnon artificiel

Résumé : Nous proposons dans cet article de rendre sincère un Agent Conversationnel Animé (ACA) pour, d’une part, améliorer sa crédibilité du point de vue de l’humain, et d’autre part contribuer à le rendre acceptable dans une relation privilégiée compagnon artificiel humain. Pour cela, nous avons introduit dans des travaux précédents le modèle logique BIGRE, représentant les états mentaux de l’agent, et le Langage de Conversation Multimodal (LCM) qui permet d’exprimer ces états mentaux. Dans le but de permettre à l’agent de raisonner dans le dialogue, c’est-à-dire mettre à jour ses états mentaux et ses émotions et sélectionner son intention communicative, un moteur de raisonnement est ici présenté. Ce moteur de raisonnement est basé sur le cycle de comportement BDI Perception, Décision, Action -, les opérateurs logiques du modèle BIGRE et le LCM, utilisé dans le moteur pour atteindre l’intention communicative de l’ACA. Le moteur de raisonnement a été implémenté dans l’agent MARC, dont les expressions multimodales sont construites à partir de l’évaluation des checks de Scherer dans le contexte du dialogue. Une évaluation du moteur de raisonnement montre que les états mentaux déduits par le moteur sont appropriés à la situation, et que leur expression (l’expression de la sincérité de l’agent) est également appropriée.
Membrane-Associated Proteins in Giardia lamblia

The manner in which membrane-associated proteins interact with the membrane defines their subcellular fate and function. This interaction relies on the characteristics of the proteins, their journey after synthesis, and their interaction with other proteins or enzymes. Understanding these properties may help to define the function of a protein and also the role of an organelle. In the case of microorganisms like protozoa parasites, it may help to understand singular features that will eventually lead to the design of parasite-specific drugs. The protozoa parasite Giardia lamblia is an example of a widespread parasite that has been infecting humans and animals from ancestral times, adjusting itself to the changes of the environment inside and outside the host. Several membrane-associated proteins have been posted in the genome database GiardiaDB, although only a few of them have been characterized. This review discusses the data regarding membrane-associated proteins in relationship with lipids and specific organelles and their implication in the discovery of anti-giardial therapies.
New-Onset Diabetes After Acute Kidney Injury Requiring Dialysis

OBJECTIVE Acute kidney injury (AKI) is related to a high prevalence of insulin resistance. However, information is lacking on the sequelae of further metabolic change among AKI requiring dialysis in patients who could be weaned off dialysis (acute kidney disease [AKD]). RESEARCH DESIGN AND METHODS Using the National Health Insurance Research Database from 2000 to 2010, with the exclusion of those with diabetes at the start, we identified 3,307 subjects with AKD and 9,921 matched control subjects from 963,037 hospitalized patients for the comparison of the outcomes, including new-onset diabetes and all-cause mortality. RESULTS Within the median follow-up period of 5.99 years, AKD patients had a higher incidence of new-onset diabetes than the matched control patients (5.16% vs. 4.17% per person-year, P = 0.001). AKD patients were at higher risk of mortality than control patients (adjusted hazard ratio [aHR] 1.27 [95% CI 1.18–1.36], P < 0.001). With mortality as a competing risk, a Cox proportional hazards analysis showed that AKD patients had a higher risk of subsequent diabetes (subhazard ratio [sHR] 1.18 [95% CI 1.07–1.30], P < 0.001) compared with the matched control patients. Subgroup analysis showed that patients with baseline hypertension (aHR 1.15 [95% CI 1.04–1.28]), hyperlipidemia (aHR 1.23 [95% CI 1.02–1.48]), and gout (aHR 1.23 [95% CI 1.03–1.46]) had increased odds of developing new-onset diabetes during follow-up. CONCLUSIONS Patients who experienced AKI had a higher incidence of developing new-onset diabetes and mortality. This observation adds evidence regarding potential metabolic dysregulation after AKI.
Research on Control Method and Evaluation System of Ground Unmanned Vehicle Formation Transform

In this paper,we design a formation control systrm for multi-unmanned ground vehicles(UGV) from the prospective of path planning and path tracking.The master-slave control is adopted by electing out a main vehicle to address the problem of possible accumulation,tranmission and amplification of errors.In the process of formation transformation,we first generate an expected path by combing the methods of dynamic window and potential energy field.Then a path tracking algorithm based on Hermite curve is adopted to make the formation transformation process more stable and accurate.Finally,the evaluation system of the formation control system is constructed,which combines the expected position,the actual position,the expected speed, the actual speed and the actual acceleration,giving an evalutaion on the performance of the formation transformation,response of the formation driving process and the performance of the formation stability.
Quaternary Structure, Salt Sensitivity, and Allosteric Regulation of β-AMYLASE2 From Arabidopsis thaliana

The β-amylase family in Arabidopsis thaliana has nine members, four of which are both plastid-localized and, based on active-site sequence conservation, potentially capable of hydrolyzing starch to maltose. We recently reported that one of these enzymes, BAM2, is catalytically active in the presence of physiological levels of KCl, exhibits sigmoidal kinetics with a Hill coefficient of over 3, is tetrameric, has a putative secondary binding site (SBS) for starch, and is highly co-expressed with other starch metabolizing enzymes. Here we generated a tetrameric homology model of Arabidopsis BAM2 that is a dimer of dimers in which the putative SBSs of two subunits form a deep groove between the subunits. To validate this model and identify key residues, we generated a series of mutations and characterized the purified proteins. (1) Three point mutations in the putative subunit interfaces disrupted tetramerization; two that interfered with the formation of the starch-binding groove were largely inactive, whereas a third mutation prevented pairs of dimers from forming and was active. (2) The model revealed that a 30-residue N-terminal acidic region, not found in other BAMs, appears to form part of the putative starch-binding groove. A mutant lacking this acidic region was active and did not require KCl for activity. (3) A conserved tryptophan residue in the SBS is necessary for activation and may form π-bonds with sugars in starch. (4) Sequence alignments revealed a conserved serine residue next to one of the catalytic glutamic acid residues, that is a conserved glycine in all other active BAMs. The serine side chain points away from the active site and toward the putative starch-binding groove. Mutating the serine in BAM2 to a glycine resulted in an enzyme with a VMax similar to that of the wild type enzyme but with a 7.5-fold lower KM for soluble starch. Interestingly, the mutant no longer exhibited sigmoidal kinetics, suggesting that allosteric communication between the putative SBS and the active site was disrupted. These results confirm the unusual structure and function of this widespread enzyme, and suggest that our understanding of starch degradation in plants is incomplete.
Detection and Recognition of Myanmar Characters from the Dissimilar Images

The impartial of this paper is to spread the License Plate Recognition for the traffic light development of Myanmar. In this paper, image processing toolbox, controlling and take boxes were proposed to extract the numbers and characters from the input images. Our method consists of three steps. In the first step, the input license plate image is increased by doing some the action or noise modification. Then the features of the characters are extracted to overcome the sameness problems of the Myanmar characters. Finally, neural network is used for the character recognition. The experiments were carried out on the dissimilar Myanmar vehicle images and results showed the efficiency of 93% which was substantially applied for the license plate detection, letters and numbers extraction.
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1

Machine learning and data mining algorithms are becoming increasingly important in analyzing large volume, multi-relational and multi–modal datasets, which are often conveniently represented as multiway arrays or tensors. It is therefore timely and valuable for the multidisciplinary research community to review tensor decompositions and tensor networks as emerging tools for large-scale data analysis and data mining. We provide the mathematical and graphical representations and interpretation of tensor networks, with the main focus on the Tucker and Tensor Train (TT) decompositions and their extensions or generalizations. To make the material self-contained, we also address the concept of tensorization which allows for the creation of very high-order tensors from lower-order structured datasets represented by vectors or matrices. Then, in order to combat the curse of dimensionality and possibly obtain linear or even sub-linear complexity of storage and computation, we address super-compression of tensor data through low-rank tensor networks. Finally, we demonstrate how such approximations can be used to solve a wide class of huge-scale linear/ multilinear dimensionality reduction and related optimization problems that are far from being tractable when using classical numerical methods. The challenge for huge-scale optimization problems is therefore to develop methods which scale linearly or sub-linearly (i.e., logarithmic complexity) with the size of datasets, in order to benefit from the well– understood optimization frameworks for smaller size problems. However, most efficient optimization algorithms are convex and do not scale well with data volume, while linearly scalable algorithms typically only apply to very specific scenarios. In this review, we address this problem through the concepts of low-rank tensor network approximations, distributed tensor networks, and the associated learning algorithms. We then elucidate how these concepts can be used to convert otherwise intractable huge-scale optimization problems into a set of much smaller linked and/or distributed sub-problems of affordable size and complexity. In doing so, we highlight the ability of tensor networks to account for the couplings between the multiple variables, and for multimodal, incomplete and noisy data. The methods and approaches discussed in this work can be considered both as an alternative and a complement to emerging methods for
Potential Point-of-Care Microfluidic Devices to Diagnose Iron Deficiency Anemia

Over the past 20 years, rapid technological advancement in the field of microfluidics has produced a wide array of microfluidic point-of-care (POC) diagnostic devices for the healthcare industry. However, potential microfluidic applications in the field of nutrition, specifically to diagnose iron deficiency anemia (IDA) detection, remain scarce. Iron deficiency anemia is the most common form of anemia, which affects billions of people globally, especially the elderly, women, and children. This review comprehensively analyzes the current diagnosis technologies that address anemia-related IDA-POC microfluidic devices in the future. This review briefly highlights various microfluidics devices that have the potential to detect IDA and discusses some commercially available devices for blood plasma separation mechanisms. Reagent deposition and integration into microfluidic devices are also explored. Finally, we discuss the challenges of insights into potential portable microfluidic systems, especially for remote IDA detection.