Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of extracellular traps structures from sheep polymorphonuclear leukocytes to Echinococcus granulosus protoscoleces.

It was aimed to detect extracellular traps structures from sheep polymorphonuclear leukocytes (PMN) after being confronted with Echinococcus granulosus protoscoleces in vitro. Also, the effect of cyst fluid was examined on the development of extracellular traps. At the end of the incubation for 1 h, the extracellular traps augmented with neutrophil elastase, histone (H3) and myeloperoxidase were visualized in the protoscoleces-PMN co-culture microscopically. Some protoscoleces lysed and the chitinous hooks released were surrounded by the extracellular traps. The other protoscoleces were still intact and the extracellular trap structures were observed around them. The relationship between the extracellular DNA contents and the protoscoleces concentration was not found statistically significant (P > 0.05). The extracellular DNA amount in the co-cultures diluted in RPMI-1640 increased with the incubation time (P < 0.05). However, the time-dependent relationship was not found in the co-cultures diluted in the cyst fluid (P > 0.05). The difference in the extracellular DNA amount was detected as statistically significant (P < 0.05) between the two co-culture groups (diluted in RPMI-1640 or the cyst fluid), except for 30 min incubation. To the Author's knowledge, NETosis reaction was firstly observed in sheep PMN after being confronted with protoscoleces in vitro. The cyst fluid had some negative effects on the development of extracellular traps from sheep PMNs at the 1-h incubation time. It should be investigated which molecules are responsible for NETosis inhibition in hydatid cyst fluid. Future studies may clarify whether neutrophils fight with protoscoleces by using their different mechanisms.
ЕКОНОМІКО-ПРАВОВІ ПРОБЛЕМИ СТАЛОГО РОЗВИТКУ ECONOMIC AND LEGAL PROBLEMS OF SUSTAINABLE DEVELOPMENT

The article is focused on modern aspects of the development of the information sphere of Ukraine taking into consideration influence of constraining and stimulating factors. Thus, authors investigated the essence of those factors, some actual trends of it’s recent definition and applied socio-economic outcomes for state regulation. Consequently, a research methodology model was elaborated grounded on matrix form assessment of expert qualitative considerations towards analyzing finite set of factors.
Comparative Study of Renin-Containing Cells. Histological Approaches

The juxtaglomerular apparatus is known to be the functional unit of renin control. In the present review, the author will describe the comparative characteristics of renin-containing (RC) cells as well as extrarenal distribution, paying special attention to developmental and topographical approaches. The characteristic locality of RC cells suggests that the secretion of renin is performed at a site beside the adventitia or via the glomerular capillaries. Ontogenetical and phylogenetical investigations of RC cells have provided interesting findings on their morphogenesis. Analysis of the endocrine kidney after unilateral obstruction of the ureter provides some findings about the origin of RC cells and the processing of renin granules. Observation of developing adrenal renin suggests that there is important involvement of angiotensin II produced by renin synthesis in the morphogenesis of the adrenal gland in the fetal stage. Coagulating gland (CG) renin is characterized by testosterone-regulated and exocrine mechanisms. Recently, all or some of the components of the renin-angiotensin system (RAS) have been reported to be synthesized and secreted outside of classical organs or tissues. In the future, the real function of local RAS will be clarified by using gene targeting in mice. — WORDS
Deep subspace learning for efficient reconstruction of spatiotemporal imaging data

Model-based deep learning approaches, such as unrolled neural networks, have been shown to be effective tools for efficiently solving inverse problems. However, the memory costs of training unrolled networks remain high, especially when the target data is high-resolution and high-dimensional. This often requires trade-offs in either network depth to reduce model size, or data resolution to reduce data size. To address this, we propose DL-Subspace - a novel unrolled network architecture which reduces memory usage by solving for a compact, low-dimensional representation of the target instead of the target itself. DL-Subspace is applied to accelerated magnetic resonance image reconstruction, demonstrating up to 4 × higher memory efficiency and 4 × faster inference speed while maintaining similar image quality as conventional unrolled networks.
Validation of a consumer-grade functional Near-Infrared Spectroscopy device for measurement of frontal pole brain oxygenation – an interim

Consumer-grade neurotechnology products have been available for a few decades. Most of these products are based on electroencephalography (EEG), a technology that is known to be sensitive to noise. An alternative is functional Near-infrared spectroscopy (fNIRS), a growing neuroimaging technology, capable of measuring hemodynamic brain activity in real time. FNIRS has been validated successfully against functional magnetic resonance imaging (fMRI). Recently a miniaturized wireless consumer-grade fNIRS was introduced by the Swedish company Mendi. The present study aimed to compare measurements of brain activity from the Mendi fNIRS with an established laboratory fNIRS device. Nineteen participants (aged 18-53 years) performed two Stroop tests while frontal pole (Brodmann area 10) oxygenation was measured. First, in a laboratory setting with an fNIRS device from Biopac, and a few weeks later, the test was repeated in a home environment with the Mendi device. A preliminary analysis of the data showed a good agreement between the measurements for the two devices. At the group level, the correlation was 0.81. These interim results need to be corroborated by more robust analyses and follow-up studies but it is promising that the Mendi device provides valid measurements of brain activity at the group level and that the device may well be used for studies outside the laboratory.
Dynamic Modeling, Control and Electromagnetic Transient Simulation of the Modular Cascaded Converters (MCCs)

This paper presents the dc-link capacitor balancing control scheme and effective current regulation algorithms for the modular cascaded converters (MCCs). The analytical model for the dc-link voltage balancing and capacitor energy mechanism are presented. Based on the devised control models, an effective control method is devised for the dc-link capacitor voltages, i.e., the sum capacitor voltage controller (SCVC), difference capacitor voltage controller (DCVC). In order to improve the tracking accuracy of the current regulator, the model predictive current controller (MPCC) is devsied and implemented. To minimize the circulating current, an effective circulating current damping controller (CCDC) is proposed by using a proportional-resonant controller. Digital simulation of the single-phase five-level MCC is carried out using the Electromagnetic Transient Program, which confirms the validity of the devised algorithms.
A fuzzy based approach for wordsense disambiguation using morphological transformation and domain link knowledge

This paper describes a fuzzy-based methodology in order to aggregate outcomes of distinct wordsense disambiguation algorithms. The latter are derived from standard Lesk algorithm, its WorldNet extension and new interpretations of the set-intersection that accounts for various WordNet domain knowledge and part-of-speech conversion. The fuzzy preference model imitates the fuzzy Borda voting scheme. The developed algorithms are evaluated according to SenseEval 2 competition dataset, where a clear improvement to the baseline algorithm has been testified.
> Challenges and opportunities of the French apple chain

Apple production in France has been marked by a centuries-old tradition and numerous successes. Its recent evolution is under-pinned by the diversity of the geographical and market contexts in which it takes place. The impact of globalization now represents a permanent challenge for the actors of the apple industry, in search of economic, social, and environmental sustainability, recently reinforced by sanitary constraints and climate change. The present overview, while not exhaustive, develops the main economic aspects of the apple sector, its territorial real-ity, some main lines of technical progress, and outlines some ways to face the major current challenges.
ANALISA MODEL TINGKAT KEMATANGAN DIGITAL DI BISNIS PERUSAHAAN

The medium-scale manufacturing industry in Indonesia is facing several challenges such as; high production costs, rapid changes in information technology, as well as changes in demand and a very dynamic market. These challenges directly or indirectly affect the sustainability of the company's operations. Regarding to the condition above, as an academic contribution, the purpose of this study is defining the digital maturity position for medium-scale manufacturing industry and how to improve the digital maturity position that has been implemented in the company. In order to make digital implementation works well, the company must know their maturity position. The methods for measuring digital maturity position is by digital maturity model. There are two indicators that digital maturity measures; digital capabilities and digital impact. This research is a quantitative research
A Closer Look at Gradient Estimators with Reinforcement Learning as Inference

The concept of reinforcement learning as inference (RLAI) has led to the creation of a variety of popular algorithms in deep reinforcement learning. Unfortunately, most research in this area relies on wider algorithmic innovations not necessarily relevant to such frameworks. Additionally, many seemingly unimportant modiﬁca-tions made to these algorithms, actually produce inconsistencies with the original inference problem posed by RLAI. Taking a divergence minimization perspective, this work considers some of the practical merits and theoretical issues created by the choice of loss function minimized in the policy update for off-policy reinforcement learning. Our results show that while the choice of divergence rarely has a major affect on the sample efﬁciency of the algorithm, it can have important practical repercussions on ease of implementation, computational efﬁciency, and restrictions to the distribution over actions.
Monoclonal Antibody Treatment Donor-Specific Transfusion and Anti-CD154 Induce Allograft Tolerance with Combined CTLA4 Signals Are Required to Optimally

Sensitization to donor Ags is an enormous problem in clinical transplantation. In an islet allograft model, presensitization of recipients through donor-speciﬁc transfusion (DST) 4 wk before transplantation results in accelerated rejection. We demonstrate that combined DST with anti-CD154 (CD40L) therapy not only prevents the deleterious presensitization produced by pretransplant DST in the islet allograft model, it also induces broad alloantigen-speciﬁc tolerance and permits subsequent engraftment of donor islet or cardiac grafts without further treatment. In addition, our data strongly indicate that CTLA4-negative T cell signals are required to achieve prolonged engraftment of skin allograft or tolerance to islet allograft in recipients treated with a combination of pretransplant DST and anti-CD154 mAb. We provide direct evidence that a CD28-independent CTLA4 signal delivers a strong negative signal to CD4 1 T cells that can block alloimmune MLR responses. In this study immune deviation into a Th2 (IL-4) response was associated with, but did not insure, graft tolerance, as the inopportune timing of B7 blockade with CTLA4/Ig therapy prevented uniform tolerance but did not prevent Th2-type immune deviation. While CTLA4-negative signals are necessary for tolerance induction, Th1 to Th2 immune deviation cannot be sufﬁcient for tolerance induction. Combined pretransplant DST with anti-CD154 mAb treatment may be attractive for clinical deployment, and strategies aimed to selectively block CD28 without interrupting CTLA4/B7 interaction might prove highly effective in the induction of tolerance.
PROFIL TINGKAT KEBUGARAN JASMANI (VO2Max) ATLET HOCKEY (FIELD) PUTRI SMAN 1 KEDUNGWARU TULUNGAGUNG

Hockey adalah olahraga yang dilakukan dalam determinasi tinggi, sehingga setiap atlet pun dituntut untuk memiliki kondisi fisik yang baik. Hal ini sudah jelas bahwa olahraga hockey membutuhkan komponen kondisi fisik yang prima. Ini membuktikan setiap atlet harus memiliki kapasitas aerobik maksimal atau VO2Max yang baik saat pertandingan. Penelitian ini bertujuan untuk mengetahui bagaimana tingkat kebugaran jasmani VO2Max 15 atlet hockey putri di SMAN 1 Kedungwaru Tulungagung. Jenis penelitian ini menggunakan jenis penelitian kuantitatif dengan pendekatan deskriptif. Teknik tes dan pengukuran dilakukan dengan lari multitahap (multistage fitness test) untuk mengukur kemampuan VO2Max. Berdasarkan hasil penelitian dan pembahasan, dapat disimpulkan bahwa Tingkat Kebugaran Jasmani (VO2Max) pada atlet hockey (field) putri SMAN 1 Kedungwaru Tulungagung, menunjukkan bahwa 2 atlet (13,3 %) masuk dalam kategori cukup dan 13 atlet (86,7 %) dikategorikan kurang,maka rata-rata kemampuan VO2Max atlet hockey (field) putri SMAN 1 Kedungwaru Tulungagung adalah 32,38 ml/kg/min dan masuk dalam kategori kurang. Kata kunci : VO2Max, Hockey, Hockey putri SMAN 1 Kedungwaru Sport hockey is a sport that is performed in the determination, so that each athlete was required to have a good physical condition. It is already clear that hockey sport requires excellent physical condition components. This proves every athlete should have a maximal aerobic capacity or VO2Max was good at the game. This study aims to determine how the level of physical fitness (VO2Max) athletes 15 athletes in hockey female Kedungwaru 1 high school. This research use quantitative research with a descriptive approach. Engineering tests and measurements carried out with multistage running (multistage fitness test) to measure the ability of VO2Max. Based on the results of research and discussion, it can be concluded the level of physical fitness (VO2Max) athletes 15 athletes in hockey female Kedungwaru 1 high school,indicating that the two athletes (13.3%) in the category fairly and 13 athletes (86.7%) categorized less, then the average ability athlete's VO2max hockey (field) femaleKedungwaru 1 high school Tulungagung is 32.38 ml / kg / min and entered in the poor category. Keywords: VO2Max, Hockey, female Hockey Kedungwaru 1 high school
Labor-Union Restrictions on Innovations in Fluid-Milk

(Boe ee bargaining in the fluid-milk industry is a widespread and well-developed institution. In 1969-1971, four-fifths of the fluidmilk volume that was packaged and delivered was handled by unionized workers. To protect the interests of these workers, labor unions have restricted the use of certain delivery innovations. The ones studied were: (1) dock pickup; (2) warehouse delivery; (3) store-dock (drop) delivery; (4) reduced wholesale delivery; (5) subcontracted wholesale delivery; (6) hourly pay plans for wholesale drivers; (7) reduced frequency of retail delivery; and (8) subcontracted retail delivery. Restrictions on innovations were expected to have a significant influence on the unit costs of distribution and on the gross margins in the fluid-milk industry. The analysis made in this study showed that the markets with low levels of restriction on innovations had lower unit costs than those with higher restrictions. However, there was no significant relationship between the level of restrictiveness and the gross margins. One reason turned out to be that while cost benefits are associated with the adoption of delivery innovations, these benefits are relatively small in comparison to the distributor gross margin (DGM). In addition, depending on competitive conditions and the business practices of the firms in a given market, it is possible for these cost savings to be retained as larger profits for the fluid-milk processing firms, the food retailers, or both, rather than being passed on to consumers in the form of lower retail prices. Some union contracts permit innovations as long as the drivers receive higher pay under the innovation, thus capturing some of the benefit for the drivers. Hence, this particular portion of cost benefits realized through delivery innovations is not available for fluidmilk processors to pass on to food retailers, and through them on to consumers. LABOR-UNION RESTRICTIONS ON INNOVATIONS IN FLUIDMILE er Tey /g bes Ye eA Nl) ee Eth bee
Auditor Fairness Evaluation via Learning Latent Assessment Models from Elicited Human Feedback

Algorithmic fairness literature presents numerous mathematical notions and metrics, and also points to a tradeoﬀ between them while satisﬁcing some/all of them simultaneously. Furthermore, the contextual nature of fairness notions makes it diﬃcult to automate bias evaluation in diverse algorithmic systems. Therefore, in this paper, we propose a novel model called latent assessment model (LAM) to characterize binary feedback provided by human auditors, by assuming that the auditor compares the classiﬁer’s output to his/her own intrinsic judgment for each input. We prove that individual and/or group fairness notions are guaranteed as long as the auditor’s intrinsic judgments inherently satisfy the fairness notion at hand, and are relatively similar to the classiﬁer’s evaluations. We also demonstrate this relationship between LAM and traditional fairness notions on three well-known datasets, namely COMPAS, German credit and Adult Census Income datasets. Furthermore, we also derive the minimum number of feedback samples needed to obtain probably approximately correct (PAC) learning guarantees to estimate LAM for black-box classiﬁers. Moreover, we propose a novel multi-attribute reputation measure to evaluate auditor’s preference towards various fairness notions as well as sensitive groups. These guarantees are also validated using standard machine learning algorithms, which are trained on real binary feedback elicited from 400 human auditors regarding COMPAS.
A Pizza My Mind

Alfredo’s Italian Kitchen. Brothers Pizza. Papa Gino’s. ABC Pizza. What do these all have in common? They are pizza stores. For whatever reason, the phrase “pizza store” seems to inspire such vitrol among my so-called “friends”. “That’s not a real phrase” they always snidely remark. Oh yeah? Well I’m the one with a 3.8-billion-word dump of English Wikipedia! I decided to run some experiments to see just how “not a thing” my very normal phrase is. How frequently did a few common pizza phrases occur? My experiments suggest that although synonymous phrases might be modestly more popular, many of the acceptable phrases are all within the same order of magnitude. In addition, a popular internet search engine does an arguably better job with understanding “pizza store’ than it does “pizza place”. In other words, my friends are jerks.
Comparisons between the distributions of dust and combustion aerosols in MERRA-2, FLEXPART, and CALIPSO and implications for deposition freezing over wintertime Siberia

Abstract. Aerosol distributions have a potentially large influence on climate-relevant cloud properties but can be difficult to observe over the Arctic given pervasive cloudiness, long polar nights, data paucity over remote regions, and periodic diamond dust events that satellites can misclassify as aerosol. We compared Arctic 2008–2015 mineral dust and combustion aerosol distributions from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite, the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis products, and the FLEXible PARTicle (FLEXPART) dispersion model. Based on coincident, seasonal Atmospheric Infrared Sounder (AIRS) Arctic satellite meteorological data, diamond dust may occur up to 60 % of the time in winter, but it hardly ever occurs in summer. In its absence, MERRA-2 and FLEXPART each predict the vertical and horizontal distribution of large-scale patterns in combustion aerosols with relatively high confidence (Kendall tau rank correlation > 0.6), although a sizable amount of variability is still unaccounted for. They do the same for dust, except in conditions conducive to diamond dust formation where CALIPSO is likely misclassifying diamond dust as mineral dust and near the surface (< ∼ 2 km) where FLEXPART may be overpredicting local dust emissions. Comparisons to ground data suggest that MERRA-2 Arctic dust concentrations can be improved by the addition of local dust sources. All three products predicted that wintertime dust and combustion aerosols occur most frequently over the same Siberian regions where diamond dust is most common in the winter. This suggests that dust aerosol impacts on ice phase processes may be particularly high over Siberia, although further wintertime model validation with non-CALIPSO observations is needed. This assessment paves the way for applying the model-based aerosol simulations to a range of regional-scale Arctic aerosol–cloud interaction studies with greater confidence.
and Enhances Lung Injury Soluble ICAM-1 Activates Lung Macrophages

Because of the important role of rat ICAM-1 in the development of lung inﬂammatory injury, soluble recombinant rat ICAM-1 (sICAM-1) was expressed in bacteria, and its biologic activities were evaluated. Puriﬁed sICAM-1 did bind to rat alveolar macrophages in a dose-dependent manner and induced production of TNF- a and the CXC chemokine, macrophage inﬂammatory protein-2 (MIP-2). Alveolar macrophages exhibited cytokine responses to both sICAM-1 and immobilized sICAM-1, while rat PBMCs failed to demonstrate similar responses. Exposure of alveolar macrophages to sICAM-1 resulted in NF k B activation (which was blocked by the presence of the aldehyde peptide inhibitor of 28S proteosome and by genistein, a tyrosine kinase inhibitor). As expected, cross-linking of CD18 on macrophages with Ab resulted in generation of TNF- a and MIP-2. This response was also inhibited in the presence of the proteosome inhibitor and by genistein. Alveolar macrophages showed adherence to immobilized sICAM-1 in a CD18-dependent manner. Finally, airway instillation of sICAM-1 intensiﬁed lung injury produced by intrapulmonary deposition of IgG immune complexes in a manner associated with enhanced lung production of TNF- a and MIP-2 and increased neutrophil recruitment. Therefore, through engagement of b 2 integrins, sICAM-1 enhances alveolar macrophage production of MIP-2 and TNF- a , the result of which is intensiﬁed lung injury after intrapulmonary disposition of immune complexes. The Journal of Immunology, 1998, 161: 3685–3693. Preimmune IgG was used as control Ab, in which case no increase in binding to cell monolayers was observed at any of the concentrations, indicating that the differences were not a result of binding of Ab via Fc receptors of macrophages. The data shown are rep-resentative of two separate and independent experiments that produced similar results.
Multi-Domain Ensembles for Domain Generalization

In this paper, we consider the challenging problem of multi-source zero shot domain generalization (MDG), where labeled training data from multiple source domains are available but with no access to data from the target domain. Many methods have been proposed to address this problem, but surprisingly the naïve solution of pooling all source data together and training a single ERM model is highly competitive. Constructing an ensemble of deep classiﬁers is a popular approach for building models that are calibrated under challenging distribution shifts. Hence, we propose MulDEns (Multi-Domain Deep Ensembles), a new approach for constructing deep ensembles in multi-domain problems that does not require to construct domain-speciﬁc models. Our empirical studies on multiple standard benchmarks show that MulDEns signiﬁcantly outperforms ERM and existing ensembling solutions for MDG.