Miracle-dz/UniFAR-FTUs huggingface dataset:
Selected Enzyme Inhibitory Effects of Euphorbia characias Extracts

Extracts of aerial part of Euphorbia characias were examined to check potential inhibitors for three selected enzymes involved in several metabolic disorders. Water and ethanol extracts from leaves and flowers showed in vitro inhibitory activity toward α-amylase, α-glucosidase, and xanthine oxidase. IC50 values were calculated for all the extracts and the ethanolic extracts were found to exert the best effect. In particular, for the α-glucosidase activity, the extracts resulted to be 100-fold more active than the standard inhibitor. The inhibition mode was investigated by Lineweaver-Burk plot analysis. E. characias extracts display different inhibition behaviors toward the three enzymes acting as uncompetitive, noncompetitive, and mixed-type inhibitors. Moreover, ethanolic extracts of E. characias showed no cytotoxic activity and exhibited antioxidant capacity in a cellular model. The LC-DAD metabolic profile was also performed and it showed that leaves and flowers extracts contain high levels of quercetin derivatives. The results suggest that E. characias could be a promising source of natural inhibitors of the enzymes involved in carbohydrate uptake disorders and oxidative stress.
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks

The ability to generate synthetic medical images is useful for data augmentation, domain transfer, and out-of-distribution detection. However, generating realistic, high-resolution medical images is challenging, particularly for Full Field Digital Mammograms (FFDM), due to the textural heterogeneity, fine structural details and specific tissue properties. In this paper, we explore the use of progressively trained generative adversarial networks (GANs) to synthesize mammograms, overcoming the underlying instabilities when training such adversarial models. This work is the first to show that generation of realistic synthetic medical images is feasible at up to 1280x1024 pixels, the highest resolution achieved for medical image synthesis, enabling visualizations within standard mammographic hanging protocols. We hope this work can serve as a useful guide and facilitate further research on GANs in the medical imaging domain.
Assessment of disinfectant and antibiotic susceptibility patterns and multi-locus variable number tandem repeat analysis of Staphylococcus epidermidis isolated from blood cultures

Background and Objectives: Variable number tandem repeat (VNTR) patterns and resistance against three commonly used hospital disinfectants [0.5% (w/w) chlorhexidine digluconate (CHG) and 75% (w/w) alcohol (A), CHG-A; Quaternary ammonium compounds (QACs) and biguanides (B), QAC-B; and 70% (w/w) isopropanol (ISP) and 0.25% (w/w) QACs, ISP-QAC], as well as frequently used antibiotics, were evaluated among 115 Staphylococcus epidermidis blood isolates recovered from a children’s hospital in Tehran, Iran. Materials and Methods: Multi-locus variable number tandem repeat analysis (MLVA) was performed using primers targeting 5 VNTR loci on the genome of S. epidermidis isolates. Micro-broth dilution method and detection of qacA/B and smr genes were carried out for evaluating resistance against the disinfectants. Results: Out of the 115 isolates, 115 (100%) and 113 (98.3%) were susceptible to linezolid and quinupristin/dalfopristin, respectively. A total of 55.7% of the isolates were found to be multidrug resistant (MDR). All isolates had MICs of CHG-A and ISP-QAC of 8 folds lower and MIC of QAC-B 6 folds lower than that suggested by the manufacturers. The genes qacA/B and smr were found in 28 (24.3%) and 14 (12.2%) isolates, respectively. MLVA typing of the S. epidermidis isolates resulted in 106 VNTR patterns and 102 MLVA types for the 112 S. epidermidis isolates, considering that 3 were not typeable. Conclusion: MLVA typing of S. epidermidis isolates show a great diversity and that the isolates are still susceptible to the concentrations of disinfectants recommended for use by the manufacturers. In addition, the relatively high percentage of the MDR S. epidermidis isolates could cause MDR infections and act as reservoirs to transfer resistance determinants to S. aureus population. Therefore, it is important that suitable infection control strategies are employed to avoid the distribution of MDR isolates between personnel and patients in this medical centre.
Comparison of vaginal misoprostol, laminaria, and isosorbide dinitrate on cervical preparation and labor duration of term parturient: a randomized double-blind clinical trial

Background Cervical ripening plays an important role in successful labor induction. Objective This study aimed to compare the effects of misoprostol, laminaria tent, and isosorbide dinitrate (ISDN) on cervical ripening. Methods This double-blind three-armed clinical trial was conducted at Shahidan Mombini Teaching Hospital in Sabzevar, Iran, in 2016 on 96 singleton term pregnant women. Participants were randomly allocated to receive either two 20-mg ISDN tablets vaginally every 4 hours for a maximum of three doses or 25 mcg misoprostol vaginally every 6 hours for a maximum of two doses or laminaria tent for a maximum of 12 hours. The method of randomization was covariate adaptive randomization and the primary outcome measures were Bishop Score changes and labor duration. SPSS software version 18 was used for statistical analyses. Kruskal-Wallis, chi-square and ANOVA tests were applied for data analyses. Results Bishop Score changes were higher in the misoprostol group than in the two other groups (p=0.014). Time from start of medication to active phase of labor and delivery were 6.22±3.11 and 11.78±5.3 minutes in the misoprostol group, 11.25±3.07 and 17.62±4.07 minutes in the laminaria group, and 10.12±3.48 and 17.37±4.79 minutes in the ISDN group respectively (p<0.001). Cesarean rate was higher in the misoprostol group than the two other groups (p=0.016). No significant differences were observed between the study groups in terms of Apgar score and meconium-stained amniotic fluid. Conclusions Use of misoprostol results in more improvement of Bishop Score and reduced length of labor phases in comparison to laminaria tent and ISDN. Trial registration The trial was registered at the Iranian Registry of Clinical Trials (http://www.irct.ir) with the Irct ID: IRCT2016050527643N2 in the Iranian Registry of Clinical Trials IRCT2015040921670N1. Funding The authors received no financial support for the research, authorship, and/or publication of this article.
Explainable Security

In 2017, the Defense Advanced Research Projects Agency (DARPA) launched the Explainable Artificial Intelligence (XAI) program that aims to create a suite of new AI techniques that enable end users to understand, appropriately trust, and effectively manage the emerging generation of AI systems. In this paper, inspired by DARPA’s XAI program, we propose a new paradigm in security research: Explainable Security (XSec). We discuss the "Six Ws" of XSec (Who? What? Where? When? Why? and How? ) and argue that XSec has unique and complex characteristics: XSec involves several different stakeholders (i.e., the system’s developers, analysts, users and attackers) and is multi-faceted by nature (as it requires reasoning about system model, threat model and properties of security, privacy and trust as well as concrete attacks, vulnerabilities and countermeasures). We define a roadmap for XSec that identifies several possible research directions.
Action Semantics at the Bottom of the Brain: Insights From Dysplastic Cerebellar Gangliocytoma

Recent embodied cognition research shows that access to action verbs in shallow-processing tasks becomes selectively compromised upon atrophy of the cerebellum, a critical motor region. Here we assessed whether cerebellar damage also disturbs explicit semantic processing of action pictures and its integration with ongoing motor responses. We evaluated a cognitively preserved 33-year-old man with severe dysplastic cerebellar gangliocytoma (Lhermitte-Duclos disease), encompassing most of the right cerebellum and the posterior part of the left cerebellum. The patient and eight healthy controls completed two semantic association tasks (involving pictures of objects and actions, respectively) that required motor responses. Accuracy results via Crawford’s modified t-tests revealed that the patient was selectively impaired in action association. Moreover, reaction-time analysis through Crawford’s Revised Standardized Difference Test showed that, while processing of action concepts involved slower manual responses in controls, no such effect was observed in the patient, suggesting that motor-semantic integration dynamics may be compromised following cerebellar damage. Notably, a Bayesian Test for a Deficit allowing for Covariates revealed that these patterns remained after covarying for executive performance, indicating that they were not secondary to extra-linguistic impairments. Taken together, our results extend incipient findings on the embodied functions of the cerebellum, offering unprecedented evidence of its crucial role in processing non-verbal action meanings and integrating them with concomitant movements. These findings illuminate the relatively unexplored semantic functions of this region while calling for extensions of motor cognition models.
The Usefulness of SPECT/CT in Sentinel Node Mapping of Early Stage Breast Cancer Patients Showing Negative or Equivocal Findings on Planar Scintigraphy

Objective(s): This study sought to determine the diagnostic yield of SPECT/CT in localizing axillary sentinel lymph nodes (SLNs) in early breast cancer patients where planar scintigraphy (PS) was equivocal or negative. Methods: Prospective analysis of early stage breast cancer patients with non-palpable axillary nodes undergoing SLN localization prior to nodal sampling for axillary staging. PS findings were categorized as: Category A: non-visualization of SLN; Category B: unusual uptake location; Category C: equivocal uptake / difficult interpretation. The K-coefficient of Cohen was used to evaluate the correlation between PS and SPECT/CT results. PS and SPECT/CT images were interpreted separately, and SLN identification on each of the modalities was correlated to BMI (Body mass index) and peroperative radio guided results. Results: Between April 2015 and January 2017, 1028 early breast cancer cases underwent sentinel lymphoscintigraphy. Of total, 134 (13%) patients underwent SPECT/CT in addition to PS. All were females with mean age of 48.15 years (range: 26-82 years). Right sided in 68, left in 64 and 2 with bilateral carcinoma. By TNM classification: 49 (37%) T1, 78 (58%) T2 and 7 (5%) had DCIS/Paget’s disease.Overall SLNs were detected on both PS and SPECT/CT in 60% cases. Of category A (n=54); 35/54 (64%) SLN localized on SPECT/CT; 32 were level-I; 2 Level-II; 1 Level-III nodes. In 19, SLN was not localized. Of category B (n=18), 5 had prior lumpectomy, SPECT/CT localized tracer uptake to 17 level-I sentinel nodes, 3 level-II and level III / IMC in 9. Of category C (n=62), 29 had prior lumpectomy. SPECT/CT confirmed SLN in all the cases. Radio-guided surgery confirmed SPECT/CT results. The correlation between the two techniques was low (K=0.34). Where PS was negative; SPECT/CT localized nodes in statistically significant number of cases (=0.01). PS identified SLN uptakes in 80/134 (60%) cases with a mean BMI of 21.6±4.8 kg/m2 while SPECT/CT detected ‘‘hot’’ nodes in 115/134 (86%) cases with a mean BMI of 29.6±5.6 kg/m2. For overweight/obese patients (n=59) (BMI>25 kg/m2), PS failed to identify SLNs in 49 and SPECT/CT failed to do so in 18 (<0.001). Conclusion: SPECT/CT has diagnostic yield and helps in precise SLN localization where planar imaging is negative or shows unusual site of uptake
Almost There: A Study on Quasi-Contributors in Open-Source Software Projects

Recent studies suggest that well-known OSS projects struggle to find the needed workforce to continue evolving—in part because external developers fail to overcome their first contribution barriers. In this paper, we investigate how and why quasi-contributors (external developers who did not succeed in getting their contributions accepted to an OSS project) fail. To achieve our goal, we collected data from 21 popular, non-trivial GitHub projects, identified quasi-contributors, and analyzed their pull-requests. In addition, we conducted surveys with quasi-contributors, and projects' integrators, to understand their perceptions about nonacceptance.We found 10,099 quasi-contributors — about 70% of the total actual contributors — that submitted 12,367 non-accepted pull-requests. In five projects, we found more quasi-contributors than actual contributors. About one-third of the developers who took our survey disagreed with the nonacceptance, and around 30% declared the nonacceptance demotivated or prevented them from placing another pull-request. The main reasons for pull-request nonacceptance from the quasi-contributors' perspective were "superseded/duplicated pull-request" and "mismatch between developer's and team's vision/opinion. " A manual analysis of a representative sample of 263 pull-requests corroborated with this finding. We also found reasons related to the relationship with the community and lack of experience or commitment from the quasi-contributors. This empirical study is particularly relevant to those interested in fostering developers' participation and retention in OSS communities.
Haze Removal Algorithm Using Color Attenuation Prior and Guided Filter

In this paper, we describe the formatting guidelines for ACM SIG Proceedings. In this paper, we mainly introduce the haze removal algorithm which using color attenuation prior. We also propose a novel solution in the case of particular situations. Moreover, in order to make the algorithm more accurate, we propose a hierarchical searching method based on the quad-tree subdivision for estimating atmospheric light. In addition, we employ the shiftable window scheme to improve the guided filter, so that it can refine the depth map while effectively protecting image edge. Experimental result shows that our proposed method not only can obviously remove the haze from the haze image, but also the performance is more reliable in the case of particular situations.
Visual Reinforcement Learning with Imagined Goals

For an autonomous agent to fulfill a wide range of user-specified goals at test time, it must be able to learn broadly applicable and general-purpose skill repertoires. Furthermore, to provide the requisite level of generality, these skills must handle raw sensory input such as images. In this paper, we propose an algorithm that acquires such general-purpose skills by combining unsupervised representation learning and reinforcement learning of goal-conditioned policies. Since the particular goals that might be required at test-time are not known in advance, the agent performs a self-supervised "practice" phase where it imagines goals and attempts to achieve them. We learn a visual representation with three distinct purposes: sampling goals for self-supervised practice, providing a structured transformation of raw sensory inputs, and computing a reward signal for goal reaching. We also propose a retroactive goal relabeling scheme to further improve the sample-efficiency of our method. Our off-policy algorithm is efficient enough to learn policies that operate on raw image observations and goals for a real-world robotic system, and substantially outperforms prior techniques.
Introducing AIC model averaging in ecological niche modeling: a single-algorithm multi-model strategy to account for uncertainty in suitability predictions

Aim: The Akaike information Criterion (AIC) is widely used science to make predictions about complex phenomena based on an entire set of models weighted by Akaike weights. This approach (AIC model averaging; hereafter AvgAICc) is often preferable than alternatives based on the selection of a single model. Surprisingly, AvgAICc has not yet been introduced in ecological niche modeling (ENM). We aimed to introduce AvgAICc in the context of ENM to serve both as an optimality criterion in analyses that tune-up model parameters and as a multi-model prediction strategy. Innovation: Results from the AvgAICc approach differed from those of alternative approaches with respect to model complexity, contribution of environmental variables, and predicted amount and geographic location of suitable conditions for the focal species. Two theoretical properties of the AvgAICc approach might justify that future studies will prefer its use over alternative approaches: (1) it is not limited to make predictions based on a single model, but it also uses secondary models that might have important predictive power absent in a given single model favored by alternative optimality criteria; (2) it balances goodness of fit and model accuracy, this being of critical importance in applications of ENM that require model transference. Main conclusions: Our introduction of the AvgAICc approach in ENM; its theoretical properties, which are expected to confer advantages over alternatives approaches; and the differences we found when comparing the AvgAICc approach with alternative ones; should eventually lead to a wider use of the AvgAICc approach. Our work should also promote further methodological research comparing properties of the AvgAICc approach with respect to those of alternative procedures.
Prevalence of β-Thalassemia Mutations among Northeastern Iranian Population and their Impacts on Hematological Indices and Application of Prenatal Diagnosis, a Seven-Years Study

Background and Objective β-thalassemia results from a diverse range of mutations inside the hemoglobin subunit β (HBB) gene. In a study of β-thalassemia carriers and some of their at-risk fetuses in the Khorasan province of Iran, we aimed to recognize the most common mutations in the region. We also investigated a possible link between these mutations and some of the relevant hematological indices. Methods Amplification-refractory mutation system-PCR (ARMS-PCR) was used to detect the typical HBB mutations among 1593 individuals, suspected of having a mutated HBB allele from March/2011 to January/2018. Sanger sequencing of HBB had been performed, where ARMS-PCR was uninformative. In some cases, reverse dot blot was utilized. Analysis of variance was used to compare parametric variables. Results Among 1273 β-thalassemia carriers, the prevalence of the mutations were reported as follows: IVS-I-5 (42.03%), IVS-II-1 (11.23%), codons 8/9 (4.79%), codon 44 (4.56%), codon 15 (3.53%), Los Angeles (2.91%), codon 5 (2.75%), IVS-I-110 (2.51%), −88 (2.20%) and other mutations were less than 2% of all of the reported mutations. 644 conceptions were subjected to prenatal diagnosis, using chorionic villus sampling. 118 cases were reported as normal. 352 cases were detected as carriers. 174 cases were diagnosed as affected. There was a significant difference in mean corpuscular volume and hemoglobin A2 levels between the nine most commonly reported mutation types (p<0.001). Conclusion This study makes a reliable guide for β-thalassemia diagnosis in the region. The possibility of a correlation between HBB mutations and hematological indices opens a gate of future investigations.
Program Splicing

We introduce program splicing, a programming methodology that aims to automate the work ow of copying, pasting, and modifying code available online. Here, the programmer starts by writing a "draft" that mixes un nished code, natural language comments, and correctness requirements. A program synthesizer that interacts with a large, searchable database of program snippets is used to automatically complete the draft into a program that meets the re-quirements. The synthesis process happens in two stages. First, the synthesizer identi es a small number of programs in the database that are relevant to the synthesis task. Next it uses an enumerative search to systematically ll the draft with expressions and statements from these relevant programs. The resulting program is returned to the programmer, who can modify it and possibly invoke additional rounds of synthesis. We present an implementation of program splicing, called Splicer, for the Java programming language. Splicer uses a corpus of over 3.5 million procedures from an open-source software repository. Our evaluation uses the system in a suite of everyday programming tasks, and includes a comparison with a state-of-the-art competing approach as well as a user study. The results point to the broad scope and scalability of program splicing and indicate that the approach can signi cantly boost programmer productivity.
Effects of the 2-Repeat Allele of the DRD4 Gene on Neural Networks Associated With the Prefrontal Cortex in Children With ADHD

Objective: Genetic variation, especially polymorphism of the dopamine D4 receptor gene (DRD4), has been linked to deficits in self-regulation and executive functions and to attention deficit hyperactivity disorder (ADHD), and is related to the structural and functional integrity of the default mode network (DMN), the executive control network (ECN) and the sensorimotor network (SMN). The aim of this study was to explore the effects of the 2-repeat allele of the DRD4 gene on brain network connectivity and behaviors in children with ADHD. Methods: Using independent component analysis (ICA) and dimension analyses, we examined resting-state functional magnetic resonance imaging (fMRI) data obtained from 52 Asian medicine-naive children with ADHD (33 2-repeat absent and 19 2-repeat present). Results: We found that individuals with 2-repeat absent demonstrated increased within-network connectivity in the right precuneus of the DMN, the right middle frontal gyrus (MFG) of the SMN compared with individuals with 2-repeat present. Within the ECN, 2-repeat absent showed decreased within-network connectivity in the left inferior frontal gyrus (IFG) and the left anterior cingulate cortex. A deeper study found that connectivity strength of the left IFG was directly proportional to the Stroop reaction time in 2-repeat absent group, and as well as the right MFG in 2-repeat present group. Conclusion: Polymorphisms of the DRD4 gene, specifically 2-repeat allele, had effects on the ECN, the SMN and the DMN, especially in the prefrontal cortex (PFC) circles. ADHD children with DRD4 2-repeat allele have aberrant resting-state within-network connectivity patterns in the left IFG and the right MFG related to dysfunction in inattention symptom. This study provided novel insights into the neural mechanisms underlying the effects of DRD4 2-repeat allele on ADHD.
Protonated nucleobases are not fully ionized in their chloride salt crystals and form metastable base pairs further stabilized by the surrounding anions

Charge-density studies of cytosinium chloride, adeninium chloride hemihydrate and guaninium dichloride crystals based on ultra-high-resolution X-ray diffraction data and extensive theoretical calculations are presented. The studies confirm the importance of electrostatic interactions in ionic crystals and show how counterintuitive they can be for protonated nucleobases of like charge.
Medical Technologies and Challenges of Robot Assisted Minimally Invasive Intervention and Diagnostics

Emerging paradigms furthering the reach of medical technology into human anatomy present unique modeling, control, and sensing problems. This review provides a brief history of medical robotics, leading to the current trend of minimally invasive intervention and diagnostics in confined spaces. We discuss robotics for natural orifice and single-port access surgery, capsule and magnetically actuated robotics, and microrobotics, with the aim of elucidating the state of the art. We also discuss works on modeling, sensing, and control of mechanical architectures of robots for natural orifice and single-port access surgery, followed by works on magnetic actuation, sensing, and localization for capsule robotics and microrobotics. Finally, we present challenges and open problems in each of these areas.