Miracle-dz/UniFAR-FTUs huggingface dataset:
A comprehensive analysis of biosorption of metal ions by macroalgae using ICP-OES, SEM-EDX and FTIR techniques

In the present study, a comprehensive approach to the biosorption process was proposed. Biosorption of Cr(III), Mn(II) and Mg(II) ions by a freshwater macroalga Cladophora glomerata was examined using several advanced techniques including FTIR (Fourier Transform Infrared Spectroscopy), ICP-OES (Inductively Coupled Plasma–Optical Emission Spectrometry) and SEM-EDX (Scanning Electron Microscopy with Energy Dispersive X-Ray Spectroscopy). The enriched biomass can become a valuable, bioactive feed additive for different breeds of animals. Additionally, the collected algal biomass was soaked in water in order to reduce the content of carbohydrate, what is especially important for animals with metabolic disorders. The content of starch was reduced by 22% but additionally some elements–mainly Si, K and P were removed from the biomass. It was shown that the natural macroalga had better biosorption properties than soaked. Cr(III) ions were sorbed by the biomass in the highest extent, then Mn(II) and finally Mg(II) ions. The content of chromium in the enriched algal biomass increased almost ~200 000 times, manganese ~75 times and magnesium ~4.5 times (both for Mg(II) ions used from magnesium sulphate, as well as from magnesium chloride) when compared to the natural Cladophora glomerata. In the case of the soaked biomass the increase of the content of elements in the enriched biomass was as follows ~17 165 times for Cr, ~25 times for Mn and for Mg ~3.5 times for chloride and 3.8 times for sulphate. The type of magnesium salt (chloride or sulphate) had no significant effect on the algal sorption capacity. The proposed mechanism of the biosorption is ion exchange in which mainly potassium participated. The applied FTIR analysis enabled the identification of the functional groups that participated in the biosorption process–mainly carboxyl and hydroxyl. The main changes in the appearance of the spectra were observed for the following wavenumbers– 3300–3400; 2900; 1700; 1400–1500 and 1200–1300 cm-1. The application of SEM-EDX proved that the metal ions were sorbed on the surface of both tested algae.
Are you with me? Probing the human capacity to recognize external/internal attention in others’ faces

ABSTRACT Facial cues provide information about affective states and the direction of attention that is important for human social interaction. The present study examined how this capacity extends to judging whether attention is internally or externally directed. Participants evaluated a set of videos and images showing the face of people focused externally on a task, or internally while they performed a task in imagination. We found that participants could identify the focus of attention above chance in videos, and to a lesser degree in static images, but only when the eye region was visible. Self-reports further indicated that participants relied particularly on the eye region in their judgements. Interestingly, people engaged in demanding cognitive tasks were more likely judged to be externally focused independent of the actual focus of attention. These findings demonstrate that humans use information from the face and especially from the eyes of others not only to infer external goals or actions, but also to detect when others focus internally on their own thoughts and feelings.
Effect of Cardiac Resynchronization Therapy on Exercise-Induced Pulmonary Hypertension and Right Ventricular-Arterial Coupling: A Cardiopulmonary Exercise Testing Imaging Evaluation

Background: Acute and chronic effects of cardiac resynchronization therapy (CRT) on pulmonary pressures, right ventricular function, and ventricular-vascular coupling during exercise are insufficiently understood. Yet, these factors are strongly associated with functional status and outcome. Methods and Results: Heart failure patients with reduced ejection fraction indicated for CRT were prospectively included to undergo exercise echocardiography simultaneously with cardiopulmonary exercise testing before (pre_CRT), 1 day after (post_CRT), and 6 months (post6_CRT) after CRT implant. Right ventricular-arterial coupling was assessed by the tricuspid annular plane systolic excursion (TAPSE)/systolic pulmonary artery pressure (SPAP) ratio. A total of 31 heart failure patients with reduced ejection fraction (age=66±13 years) were prospectively included. CRT resulted in an immediate reduction in rest SPAP (pre_CRT=32±16 versus post_CRT=23±16 mm Hg; P=0.006) and rest effective regurgitant orifice (pre_CRT=0.32±0.1 versus post_CRT=0.18±0.2; P=0.001) without changes in exercise mitral regurgitation or exercise SPAP indexed for cardiac output. Six months after CRT, in parallel with left ventricular reverse remodeling and a reduction in exercise mitral regurgitation and exercise E/e′ ratio, the exercise SPAP/cardiac output significantly improved (post_CRT=5.6±3.1 versus post6_CRT=4.3±2.9 mm Hg·L−1·min−1; P=0.039), which was also illustrated by a reduced slope of &Dgr;SPAP/&Dgr;cardiac output (post_CRT=5.2±3.7 versus post6_CRT=2.9±2.7 mm Hg·L−1·min−1; P=0.002). CRT did not result in an acute or chronic effect on TAPSE or TAPSE/SPAP ratio at rest. However, exercise revealed the presence of right ventricular-arterial uncoupling which was not affected by an acute CRT effect (P=0.396) but only improved by a chronic CRT effect (P<0.001; TAPSE/SPAP ratio: pre_CRT= 0.39±0.6 mm/mm Hg; post_CRT=0.42±0.5 mm/mm Hg; post6_CRT =0.84±0.12 mm/mm Hg). Of all exercise echocardiography variables, the TAPSE/SPAP ratio demonstrated the strongest correlation with VO2 peak (r=0.475), VE/VCO2 (r=−0.585), and workload (r=0.476) during cardiopulmonary exercise testing (P<0.05 all). Multivariate predictors affecting exercise ventricular-arterial coupling after CRT included metrics of residual exercise mitral regurgitation and systolic and diastolic left ventricular function. Conclusions: Chronic CRT beneficially influences pulmonary pressures and right ventricular-arterial coupling during exercise, which strongly relates to functional status. These findings are mechanistically linked to reverse remodeling with improved interventricular dependence and reduction in exercise mitral regurgitation.
If They Say “Yes,” We Say “No”: Partisan Cues Increase Polarization Over National Symbols

Real-world tests of the impact of partisan cues on voters are scarce because they require assessing how citizens’ attitudes changed toward an issue from before to after it became politically divisive. During the 2015–2016 New Zealand flag referendums, the leader of the (center-right) National Party and then–Prime Minister, John Key, championed changing the flag—a move strongly contested by the (center-left) Labour Party. Accordingly, we measured New Zealanders’ attitudes toward changing the flag using national longitudinal panel data collected in 2013, before the change was proposed, and again in 2016 at the height of the debate (Ns = 6,793–6,806). Registered voters who supported the National Party were more likely to shift from opposing to supporting the flag change, whereas those who supported the Labour Party were more likely to shift from supporting to opposing the change. These data demonstrate the powerful impact of partisan cues on political attitudes in a real-world setting.
Pelvic splenosis—a very unusual location

We present a rare case of pelvic splenosis, and its imaging findings, in a 54-year-old female complaining of pelvic pain and vaginal bleeding for several months. Splenosis is a benign acquired condition defined as heterotopic auto-transplantation of splenic tissue to other compartments of the body and occurs after rupture of the spleen, either traumatic or iatrogenic. Symptoms are unspecific and vary according to the location of the implants; commonly the presenting symptom is abdominal pain or enlarging abdominal mass. Owing to its intrinsic properties and safety, magnetic resonance imaging is a valuable imaging modality, in which the splenosis implants may be securely identified, showing the same signal characteristics and enhancing patterns of the normal spleen, especially visualization of serpiginous enhancement on the arterial phase is virtually diagnostic.
Speaker Selective Beamformer with Keyword Mask Estimation

This paper addresses the problem of automatic speech recognition (ASR) of a target speaker in background speech. The novelty of our approach is that we focus on a wakeup keyword, which is usually used for activating ASR systems like smart speakers. The proposed method firstly utilizes a DNN-based mask estimator to separate the mixture signal into the keyword signal uttered by the target speaker and the remaining background speech. Then the separated signals are used for calculating a beamforming filter to enhance the subsequent utterances from the target speaker. Experimental evaluations show that the trained DNN-based mask can selectively separate the keyword and background speech from the mixture signal. The effectiveness of the proposed method is also verified with Japanese ASR experiments, and we confirm that the character error rates are significantly improved by the proposed method for both simulated and real recorded test sets.
Self/Non-Self Recognition Affects Cnida Discharge and Tentacle Contraction in the Sea Anemone Haliplanella luciae

Certain species of sea anemone live in tightly packed communities, among clonemates and non-clonemates. Competition for space leads to intraspecific and interspecific aggressive interactions among anemones. The initial aggressive interactions appear to involve reciprocal discharge of cnidae triggered by contact with non-self feeding tentacles. We asked whether molecules contained in anemone-derived mucus constituted an important cue alone or in combination with cell surface molecules in stimulating aggressive or avoidance behaviors. In this study, we found that self and non-self stimuli differentially influenced two effector systems: cnida discharge and tentacle contraction. Interspecific mucus enhanced nematocyst discharge by 44% and spirocyst discharge by 90%, as compared to baseline discharge obtained in seawater alone. Conspecific stimuli accompanying touch inhibited specific tentacle contractions occurring on the far side of anemones relative to the site of contact. The greatest tentacle contractions occurred with exposure to interspecific mucus and tissue. Thus, several receptor systems are involved that integrate chemical and mechanical cues in order to initiate appropriate and graded effector responses during competition for space.
Antioxidant hesperetin improves the quality of porcine oocytes during aging in vitro

The citrus flavonoid hesperetin has a variety of pharmacological actions, including antioxidant, antiinflammatory, and anticancer activities. This study investigated whether hesperetin prevents aging of oocytes in vitro in which it determined the maturation of nuclear and cytoplasm and the developmental capacity of embryo by modulating the reactive oxygen species (ROS) level. Porcine oocytes were matured in vitro for 44 hr (control) and for an additional 24 hr in the presence of 0, 1, 10, 100, and 250 μM hesperetin (aging, H‐1, H‐10, H‐100, and H‐250, respectively). Although there was no difference in the rate of maturation among all the groups, both the control and H‐100 groups significantly increased in the rate of cleavage and blastocyst formation compared to the aging group. The H‐100 group significantly decreased ROS activity and increases the level of glutathione (GSH) and expression of the antioxidant genes (PRDX5, NFE2L, SOD1, and SOD2) compared with the aging group. The H‐100 groups prevented aberrant spindle organization and chromosomal misalignment, blocked the decrease in the level of phosphorylated‐p44/42 mitogen‐activated protein kinase and increased the messenger RNA expression of cytoplasmic maturation factor genes (GDF9, CCNB1, BMP15, and MOS). Subsequently, both the control and H‐100 groups significantly increased the total cell number and decreased the apoptosis cells at the blastocyst stage compared with aging group. The results indicate that hesperetin improves the quality of porcine oocytes by protecting them against oxidative stress during aging in vitro.
CyDet: Improving Camera-based Cyclist Recognition Accuracy with Known Cycling Jersey Patterns

In this work, we propose CyDet, a hybrid approach to detection and classification based on human knowledge of the scenario context and statistical machine learning approaches to object detection, classification, and tracking. This approach enabled us to experiment with five different methods to maximize the accuracy of cyclist detection. These methods included detecting a cyclist as a single object, utilizing different classifiers for different view angles, using HOG and LBP with fewer descriptors and features, using a machine learning layer for classifier training, and uniquely, custom designed jerseys by Specialized Bicycles. By working closely with Specialized, we were able to ensure that designs were both optimized for computer vision algorithm detection and productizable, and we were able to train our algorithms to classify the known designs as cyclists which further improved our accuracy, especially when the cyclist is partially occluded. Our experiments show that our approach achieves state of the art accuracy on the KITTI [1] benchmark, and we establish a baseline detection rate with our approach on a new, open Specialized Bicycles Cyclist Detection Dataset that include cyclists wearing jerseys with known patterns.
Targeted and immuno-biology driven treatment strategies for triple-negative breast cancer: current knowledge and future perspectives

ABSTRACT Introduction: Accounting for about 15% of breast cancer patients, triple-negative breast cancer (TNBC) is responsible for 25% of disease related deaths, more frequent distant spread and visceral metastasis. However, improving survival in TNBC failed and primary resistance, immunological ignorance and tumor heterogeneity limit clinical activity of novel therapies. In view of recent molecular, genetic and immunologic insights, this review aims to describe the current status of immunological and targeted treatments from a hypothesis driven perspective. Areas covered: Recent preclinical studies and ongoing clinical trials for immune directed and targeted treatments of TNBC are summarized, including immune-checkpoint blockade, resistance mechanisms, inhibition of poly (ADP-ribose) polymerase (PARP), combinatorial strategies as well as preclinical, hypothesis generating studies. Expert commentary: Sustained responses have been observed with immune-checkpoint blockade and PARP inhibitors demonstrated remarkable efficacy in germline BRCA mutated TNBC. In order to generate clinical success of many other, to date ineffective, targeted and immune therapies, the integration of multidimensional, large amounts of data, will be essential and likely accelerate treatment progress of TNBC.
The Compound Characteristics Comparison (CCC) approach: a tool for improving confidence in natural compound identification

ABSTRACT Compound identification is the main hurdle in LC-HRMS-based metabolomics, given the high number of ‘unknown’ metabolites. In recent years, numerous in silico fragmentation simulators have been developed to simplify and improve mass spectral interpretation and compound annotation. Nevertheless, expert mass spectrometry users and chemists are still needed to select the correct entry from the numerous candidates proposed by automatic tools, especially in the plant kingdom due to the huge structural diversity of natural compounds occurring in plants. In this work, we propose the use of a supervised machine learning approach to predict molecular substructures from isotopic patterns, training the model on a large database of grape metabolites. This approach, called ‘Compounds Characteristics Comparison’ (CCC) emulates the experience of a plant chemist who ‘gains experience’ from a (proof-of-principle) dataset of grape compounds. The results show that the CCC approach is able to predict with good accuracy most of the sub-structures proposed. In addition, after querying MS/MS spectra in Metfrag 2.2 and applying CCC predictions as scoring terms with real data, the CCC approach helped to give a better ranking to the correct candidates, improving users’ confidence in candidate selection. Our results demonstrated that the proposed approach can complement current identification strategies based on fragmentation simulators and formula calculators, assisting compound identification. The CCC algorithm is freely available as R package (https://github.com/lucanard/CCC) which includes a seamless integration with Metfrag. The CCC package also permits uploading additional training data, which can be used to extend the proposed approach to other systems biological matrices. List of abbreviations: Acidic: acidic moiety; aliph: aliphatic chain; AUC: area under the ROC curve; bs: best glycosidic structure; CCC: Compounds’ Characteristics Comparison; Cees: Carbons estimation errors; CO: Carbon to Oxygen ratio; Het: Heterocyclic moiety; IMD: Isotopic Mass Defect (and Pattern); LC-HRMS: Liquid Chromatography – High Resolution Mass Spectrometry; md: mass defect; MM: Monoisotopic Mass; MS: Mass Spectrometry; MSE: Mean Squared Error; nC: number of Carbons; NN: Nitrogen; pC: percentage of Carbon mass on the total mass; Pho: Phosphate; PLSr: Partial Least Square regression; ppm: parts per million; QSRR: Quantitative structure-retention relationship; RMD: Relative Mass Defect; ROC: Receiver Operating Characteristics; rRMD: residual Relative Mass Defect; RT: retention time; Sul: Sulphur; UPLC-ESI-Q-TOF-MS: Ultra Performance Liquid Chromatography – ElectroSpray Ionization –Quadropole – Time of Flight – Mass Spectrometry; VAT: Vitis arizonica Texas
The influence of PTEN protein expression on disease outcome in premenopausal hormone receptor-positive early breast cancer patients treated with adjuvant ovarian ablation: a long-term follow-up.

PURPOSE All breast cancer (BC) patients with detectable hormone receptors (HR) expression should be offered endocrine therapy (ET). In premenopausal patients, tamoxifen and/or ovarian suppression (OvS)/ablation (OA) may improve disease outcome. Alteration of phosphatase and tensin homolog (PTEN) signaling pathways could be one of the possible mechanisms of resistance to antiestrogen therapy. The purpose of this study was to investigate the association of PTEN protein expression with prognostic factors such as tumor histology and grade, estrogen receptor (ER) and progesterone receptor (PgR) status, human epidermal growth factor receptor 2 (HER2) and disease outcome in premenopausal patients with HR-positive early BCs treated with adjuvant OA. METHODS We analyzed a group of premenopausal early stages I/II HR-positive BC patients who had undergone radical mastectomy followed only with adjuvant OA by irradiation. ER and PgR contents were determined by classical biochemical dextran-coated charcoal (DCC) method, HER2 status by chromogen in situ hybridization (CISH) analysis and PTEN status by immunohistochemistry (IHC). RESULTS Sixty-six premenopausal patients included into this analysis were followed for a median of 17 years (range 17-29). Compared to PTEN-positive BCs, PTEN-negative BCs were significantly more frequently associated with lobular tumor histology (p<0.05), higher ER content (p<0.05), and had significantly decreased disease-free survival (DFS) and overall survival (OS) (p<0.01 for both) compared to patients with PTEN-positive BCs. CONCLUSIONS It seems that PTEN status determined by protein expression may discriminate between subgroups with poor and good prognosis in premenopausal HR-positive BC patients receiving adjuvant OA.
Elites in social networks: An axiomatic approach to power balance and Price’s square root law

A common two-tier structure for social networks is based on partitioning society into two parts, referred to as the elite and the periphery, where the “elite” is the relatively small but well-connected and highly influential group of powerful individuals around which the society is centered, and the “periphery” consists of the rest of society. It is observed that the relative sizes of economic and social elites in various societies appear to be continually declining. One possible explanation is that this is a natural social phenomenon, resembling Price’s “square root” law for the fraction of good scientists in the scientific community. We try to assess the validity of this explanation by studying the elite-periphery structure via introducing a novel axiom-based model for representing and measuring the influence between the elite and the periphery. The model is accompanied by a set of axioms that capture the elite’s dominance, robustness and density, as well as a compactness property. Relying on the model and the accompanying axioms, we are able to draw a number of insightful conclusions about the elite-periphery structure. In particular, we show that in social networks that respect our axioms, the size of a compact elite is sublinear in the network size. This agrees with Price’s principle but appears to contradict the common belief that the elite size tends to a linear fraction of society (recently claimed to be around 1%). We propose a natural method to create partitions with nice properties, based on the key observation that an elite-periphery partition is at what we call a ‘balance point’, where the elite and the periphery maintain a balance of powers. Our method is based on setting the elite to be the k most influential nodes in the network and suggest the balance point as a tool for choosing k and therefore the size of the elite. When using nodes degrees to order the nodes, the resulting k-rich club at the balance point is the elite of a partition we refer to as the balanced edge-based partition. We accompany these findings with an empirical study on 32 real-world social networks, which provides evidence that balanced edge-based partitions which satisfying our axioms commonly exist.
Smooth muscle brain‐derived neurotrophic factor contributes to airway hyperreactivity in a mouse model of allergic asthma

Recent studies have demonstrated an effect of neurotrophins, particularly brain‐derived neurotrophic factor (BDNF), on airway contractility [via increased airway smooth muscle (ASM) intracellular calcium [Ca2+]i] and remodeling (ASM proliferation and extracellular matrix formation) in the context of airway disease. In the present study, we examined the role of BDNF in allergen‐induced airway inflammation using 2 transgenic models: 1) tropomyosin‐related kinase B (TrkB) conditional knockin (TrkBKI) mice allowing for inducible, reversible disruption of BDNF receptor kinase activity by administration of 1NMPP1, a PP1 derivative, and 2) smooth muscle‐specific BDNF knockout (BDNFfl/fl/SMMHCllCre/0) mice. Adult mice were intranasally challenged with PBS or mixed allergen (Altemaria alternata, Aspergillus fumigatus, house dust mite, and ovalbumin) for 4 wk. Our data show that administration of 1NMPP1 in TrkBKI mice during the 4‐wk allergen challenge blunted airway hyper‐responsiveness (AHR) and reduced fibronectin mRNA expression in ASM layers but did not reduce inflammation per se. Smooth muscle‐specific deletion of BDNF reduced AHR and blunted airway fibrosis but did not significantly alter airway inflammation. Together, our novel data indicate that TrkB signaling is a key modulator of AHR and that smooth muscle‐derived BDNF mediates these effects during allergic airway inflammation. —Britt, R. D. , Jr., Thompson, M. A. , Wicher, S. A. , Manlove, L. J., Roesler, A. , Fang, Y. ‐H. , Roos, C. , Smith, L. , Miller, J. D. , Pabelick, C. M. , Prakash, Y. S. Smooth muscle brain‐derived neurotrophic factor contributes to airway hyperreactivity in a mouse model of allergic asthma. FASEB J. 33, 3024–3034 (2019). www.fasebj. org