Miracle-dz/UniFAR-FTUs huggingface dataset:
The 2016 Proton-Nucleus Run of the LHC

For five of the LHC experiments, the second p-Pb collision run in 2016 offered the opportunity to answer a range of important physics questions arising from the surprise discoveries (e.g., flow-like collective phenomena in small systems) made in earlier Pb-Pb, p-Pb and p-p runs. However the diversity of the physics and their respective capabilities led them to request very different operating conditions, in terms of collision energy, luminosity and pile-up. These appeared mutually incompatible within the available one month of operation. Nevertheless, a plan to satisfy most requirements was developed and implemented successfully. It exploited different beam lifetimes at two beam energies of 4 Z TeV and 6.5 Z TeV, a variety of luminosity sharing and bunch filling schemes, and varying beam directions. The outcome of this very complex strategy for repeated re-commissioning and operation of the LHC included the longest ever LHC fill with luminosity levelled for almost 38 h. The peak luminosity achieved exceeded the "design" value by a factor 7.8 and integrated luminosity substantially exceeded the experiments’ requests.
A four-questions perspective on public information use in sticklebacks (Gasterosteidae)

Whether learning primarily reflects general processes or species-specific challenges is a long-standing matter of dispute. Here, we present a comprehensive analysis of public information use (PI-use) in sticklebacks (Gasterosteidae). PI-use is a form of social learning by which animals are able to assess the relative quality of resources, here prey patches, by observing the behaviour of others. PI-use was highly specific with only Pungitius and their closest relative Culaea inconstans showing evidence of PI-use. We saw no effects of ontogenetic experience upon PI-use in Pungitius pungitius. Experiments with live demonstrators and animated fish revealed that heightened activity and feeding strikes by foraging conspecifics are important cues in the transmission of PI. Finally, PI-use was the only form of learning in which P. pungitius and another stickleback, Gasterosteus aculeatus differed. PI-use in sticklebacks is species-specific and may represent an ‘ecological specialization’ for social foraging. Whether this reflects selection on perception, attentional or cognitive processes remains to be determined.
Characterization of a magnesium transport in Campylobacter jejuni and the role of CorA in magnesium uptake

Magnesium (Mg) is the most abundant divalent cation in prokaryotic and eukaryotic cells. It is involved in many cellular functions including modulating signal transduction, energy metabolism and cell proliferation. Mg is important in bacterial growth and is a cofactor in ATP-requiring enzymatic reactions (Reinhart, 1988). It is also directly involved in membrane stability (Nikaido andVaara, 1985).
Enrichment of Type I Methanotrophs with nirS Genes of Three Emergent Macrophytes in a Eutrophic Wetland in China

The pmoA gene, encoding particulate methane monooxygenase in methanotrophs, and nirS and nirK genes, encoding bacterial nitrite reductases, were examined in the root and rhizosphere sediment of three common emergent macrophytes (Phragmites australis, Typha angustifolia, and Scirpus triqueter) and unvegetated sediment from eutrophic Wuliangsuhai Lake in China. Sequencing analyses indicated that 334 out of 351 cloned pmoA sequences were phylogenetically the most closely related to type I methanotrophs (Gammaproteobacteria), and Methylomonas denitrificans-like organisms accounted for 44.4% of the total community. In addition, 244 out of 250 cloned nirS gene sequences belonged to type I methanotrophs, and 31.2% of nirS genes were the most closely related to paddy rice soil clone SP-2-12 in Methylomonas of the total community. Three genera of type I methanotrophs, Methylomonas, Methylobacter, and Methylovulum, were common in both pmoA and nirS clone libraries in each sample. A quantitative PCR (qPCR) analysis demonstrated that the copy numbers of the nirS and nirK genes were significantly higher in rhizosphere sediments than in unvegetated sediments in P. australis and T. angustifolia plants. In the same sample, the nirS gene copy number was significantly higher than that of nirK. Furthermore, type I methanotrophs were localized in the root tissues according to catalyzed reporter deposition-fluorescence in situ hybridization (CARD-FISH). Thus, nirS-carrying type I methanotrophs were enriched in macrophyte root and rhizosphere sediment and are expected to play important roles in carbon/nitrogen cycles in a eutrophic wetland.
ECO-FRIENDLY PHYTO-SYNTHESIS OF SILVER NANOPARTICLES USING COLCHICUM AUTUMNALE AND ITS CHARACTERIZATION.

Prasad Panzade. Metal nanoparticles have been produced chemically and physically for a long time; however, their biological production has only been investigated very recently. Plant mediated synthesis of nanoparticles is a green chemistry approach that interconnects nanotechnology and plant biotechnology. In the present study, we report biogenic fabrication of silver nanoparticles by a simple procedure using leaf broth of Colchicum autumnale without extra surfactant, capping agent, and/or template at ambient conditions. The AgNPs were characterized by UV-visible spectrophotometer, X-ray diffraction (XRD), particle size analyzer (DLS), scanning electron microscopy (SEM). The size of synthesized nanoparticles are in the range of 70-250nm which was confirmed by DLS and SEM micrographs. The size of nanoparticles decrease with increase in broth concentration. Morphology of the silver nanoparticles wasspherical and its distribution, monodisperse. AgNPs are crystallized in face centered cubic symmetry.
A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups.

Shared research resource facilities, also known as core laboratories (Cores), are responsible for generating a significant and growing portion of the research data in academic biomedical research institutions. Cores represent a central repository for institutional knowledge management, with deep expertise in the strengths and limitations of technology and its applications. They inherently support transparency and scientific reproducibility by protecting against cognitive bias in research design and data analysis, and thedy have institutional responsibility for the conduct of research (research ethics, regulatory compliance, and financial accountability) performed in their Cores. The Association of Biomolecular Resource Facilities (ABRF) is a FASEB-member scientific society whose members are scientists and administrators that manage or support Cores. The ABRF Research Groups (RGs), representing expertise for an array of cutting-edge and established technology platforms, perform multicenter research studies to determine and communicate best practices and community-based standards. This review provides a summary of the contributions of the ABRF RGs to promote scientific rigor and reproducibility in Cores from the published literature, ABRF meetings, and ABRF RGs communications.
Causality between Export and Growth: Evidence from South Asian Countries

Strong economic growth accompanied with robust export performance leads many people to conclude that export sector of a country has pivotal role in the economic growth of that country. Empirical evidence on export growth nexus has been mixed and inconclusive. This study examined whether there was any time series support for such export-led growth hypothesis for South Asian Countries. Engle-Granger's Error Correction Model (ECM) was used to test the Granger causality between export and output. The study had produced fairly mixed results, and did not find any conclusive evidence in favor of export-led growth for South Asian Countries. While Pakistan, Srilanka and Bhutan were the cases of export-led growth, India, Nepal, and Maldives show the opposite result of growth-led exports. In one country, namely Bangladesh, the data had failed to detect any causality in either direction which is attributed in low value addition in export.
Bioengineering strategies for nephrologists: kidney was not built in a day

ABSTRACT Introduction: The number of patients with end-stage kidney disease is increasing worldwide, creating an unprecedented organ shortage. The kidney is a highly complex structure performing many crucial functions. Dialysis replaces filtration but not all other kidney functions and transplant is limited by kidney availability. Numerous innovative ways are being explored to obtain new kidneys for disease modeling and potentially replace lost kidney functions. Areas covered: In this review, we will go through the different approaches that have been developed over the years to build kidneys. We will first present the current advances in xenotransplantation and generation of interspecies chimeras. Next, we will examine the attempts to create bioengineered kidneys with hemodialysis-derived implantable devices and decellularized organs. Finally, we will examine how organoids and microfluidic devices could answer important pathophysiological questions and model the path toward creating in vitro functional organs, for example through 3D bioprinting. Expert opinion: While all the aforementioned approaches to create new kidneys are promising, their translation into clinical practice seems a long way off, except xenotransplantation. Nonetheless, these novel technologies already consent disease modeling and drug testing at 3D level. We will review the stages of progress toward patient therapy and advantages/drawbacks of the various strategies.
SentEmoji: A Dataset to Generate Empathising Conversations

Emojis are gaining popularity in day-to-day computer-mediated conversations, resulting in more interactive conversations. On the other hand, traditional chatbots lack the ability to use emojis effectively for creating an engaging and empathising conversation even after recognising feelings of the conversation partner, an essential communicative skill. This inability is majorly due to the paucity of any such suitable publicly available datasets and framework for training and evaluation of chatbot. Prior work has either classified the emojis or generated empathy dialogue without the use of emojis. Through this work, we propose a new dataset SentEmoji, generated using public dataset EmpathyDialogues, and its mapping to relevant emojis using EmojiNet dataset. We present a novel approach to generate dialogue with emojis to express empathy. A study will be conducted to get user rating on three aspects - empathy/sympathy, relevance and fluency. The comparison of this user-study with prior studies will reflect the effectiveness of this approach.
Calendar Anomalies in Emerging Balkan Equity Markets

This paper investigates calendar anomalies for four emerging stock markets (Romania, Bulgaria, Croatia and Turkey) and their mature counterpart in the Balkan region (Greece), during the period 2000-2008.Five well known calendar effects on both return and volatility are examined; the day of the week effect, the January effect, the half month effect, the turn of the month effect and the time of the month effect.We provide evidence for the existence of three calendar effects (day of the week, turn of the month, time of the month) in both mean and volatility equations for Greece and Turkey, which is consistent to the findings of previous studies.On the other hand, the effects for the three emerging Balkan markets are limited and exist only in volatility. This contradictory evidence could be due to a different level of liquidity and maturity for these markets.
Experimental and Analytical Study on the Penetration of Corundum-Rubble Concrete Subjected to Projectile Impact

A new type of composite concrete which can be called corundum-rubble concrete (CRC) was presented to improve the resistance of protective structure to the projectile impact. Comparative experiments were conducted between CRC and reinforced concrete, and a modified Taylor model was proposed to predict the penetration depth of CRC targets. Experimental results show that CRC is much higher than reinforced concrete in both strength and hardness and shows excellent resistance to the 0.125 m-diameter projectile impact. Theoretical analyses demonstrated that the modified Taylor model’s predicted results were in good agreement with the measured values.
Measuring Political Commitment in Statistical Models for Evidence-based Agenda Setting in NonmotorizedTraffic

When investigating national and international transport policies of the last decade, an ever increasing emphasis on promoting non-motorized transport modes such as walking or cycling can be identified, aiming at reaching multiple political targets (eg. reducing pollution, increasing health or lowering land consumption). However, despite substantial financial efforts being put into infrastructural or awarenessraising activities, achieving the desired modal shift towards active mobility remains a challenge. This is frequently due to unclear cause and effect patterns between active mode shares and their determinants, which in turn leads to uncoordinated or highly fragmented initiatives that impede target-oriented planning. An internationally adopted approach to overcome this problem is applying aggregated statistical models that explain modal choice involving multiple regression techniques and hypothetical covariates. Still, general critique against these models points out that important intangible soft factors such as attitudinal characteristics of the local population or mind-sets and political commitment of decision makers are not duly reflected. Also, for Austria there is currently no systematic holistic approach to explain spatial variance in active travel shares on the scale of municipalities. Hence the main objective of our research is to design a comprehensive macroscopic model-based approach for the quantitative explanation of modal split shares in active travel modes in Austria. In our approach we attach great importance to the inclusion of soft factors in order to contribute novel findings on the dynamics behind active travel. The research outcomes will aid decision makers and planners in their question where and more specifically, how to effectively invest into active mobility by revealing key soft factors and intangible determinants of active travel mode shares alongside a broad range of more known, traditional factors. Based on this evidence-based decision support approach it is possible to simulate impacts of actions when aiming at locally promoting active travel modes.
The determinants of cooperation in buyer-supplier relationships: Evidence from certified companies

The aim of this study is to propose and empirically examine an integrated model of the development of cooperation in buyer-seller relationships. Building upon previous research a conceptual framework of the relationships between communication, trust, satisfaction with the relationship and relationship commitment and their impact on cooperation has been proposed and empirically examined from the perspective of certified buyers. The application of structural equation modelling on a sample of 186 certified companies operating on Serbian market indicated the antecedent role of communication to trust and the direct influence of trust and commitment on the development of cooperation. Implications of this research are discussed and limitations and directions for future research are highlighted.
The Assessment of Business Process Management Maturity: Comparative Analysis Inside an Organization

The purpose of this paper is to create and test the practical application of the business process management maturity assessment based on a case study. Maturity models are used for measuring the performance and maturity of individual functional areas or processes, as well as that of the whole organization. We propose measuring the maturity of business process management on a sample of 47 employees of one organization at two different grade levels: at the Management level and at the Professionals level. The comparative analysis of business process management maturity was performed using an ANOVA test, which allowed the evaluation of differences between the groups of respondents and using correlation matrix, which assesses the strength of the correlation between the business process maturity in the organization and six process areas (Strategy, Documentation, Optimization, Implementation, Execution, Controlling), which are constituent the maturity. The analysis of differences in the perception of business process management maturity through different employees may help better prioritize BPM development projects in an organization. The findings will be the basis for formulating recommendations for the effective raising of the business process management maturity.
Characterization of the infrared/X-ray subsecond variability for the black hole transient GX 339-4

We present a detailed analysis of the X-ray/IR fast variability of the Black-Hole Transient GX 339-4 during its low/hard state in 2008 August. Thanks to simultaneous high time resolution observations made with the VLT and RXTE, we performed the first characterization of the subsecond variability in the near-infrared band – and of its correlation with the X-rays – for a low-mass X-ray binary, using both time- and frequency-domain techniques. We found a power-law correlation between the X-ray and infrared fluxes when measured on time-scales of 16 s, with a marginally variable slope, steeper than the one found on time-scales of days at similar flux levels. We suggest the variable slope – if confirmed – could be due to the infrared flux being a non-constant combination of both optically thin and optically thick synchrotron emission from the jet, as a result of a variable self-absorption break. From cross spectral analysis, we found an approximately constant infrared time lag of ≈0.1 s, and a very high coherence of ∼90 per cent on time-scales of tens of seconds, slowly decreasing towards higher frequencies. Finally, we report on the first detection of a linear rms–flux relation in the emission from a low-mass X-ray binary jet, on time-scales where little correlation is found between the X-rays and the jet emission itself. This suggests that either the inflow variations and jet IR emission are coupled by a non-linear or time-variable transform, or that the IR rms–flux relation is not transferred from the inflow to the jet, but is an intrinsic property of emission processes in the jet.
Diversity of Methylobacterium spp. in the Rice of the Vietnamese Mekong Delta

The Vietnamese Mekong delta is one of the largest rice-producing areas globally. Methylobacterium spp. are persistent colonizers of the rice plant and exert beneficial effects on plant growth and health. Sixty-one Methylobacterium strains belonging to seven species were predominantly isolated from the phyllosphere of rice cultivated in six Mekong delta provinces. Inoculation tests revealed that some strains exhibited plant growth-promoting activity. Moreover, three strains possessed the novel characteristics of inducing leaf bleaching and killing rice seedlings. These results revealed the complex diversity of Methylobacterium in Mekong delta rice and that healthy and productive rice cultivation requires a proper balance of Methylobacterium.
Dopamine Receptor Activation Modulates the Integrity of the Perisynaptic Extracellular Matrix at Excitatory Synapses

In the brain, Hebbian-type and homeostatic forms of plasticity are affected by neuromodulators like dopamine (DA). Modifications of the perisynaptic extracellular matrix (ECM), which control the functions and mobility of synaptic receptors as well as the diffusion of transmitters and neuromodulators in the extracellular space, are crucial for the manifestation of plasticity. Mechanistic links between synaptic activation and ECM modifications are largely unknown. Here, we report that neuromodulation via D1-type DA receptors can induce targeted ECM proteolysis specifically at excitatory synapses of rat cortical neurons via proteases ADAMTS-4 and -5. We showed that receptor activation induces increased proteolysis of brevican (BC) and aggrecan, two major constituents of the adult ECM both in vivo and in vitro. ADAMTS immunoreactivity was detected near synapses, and shRNA-mediated knockdown reduced BC cleavage. We have outlined a molecular scenario of how synaptic activity and neuromodulation are linked to ECM rearrangements via increased cAMP levels, NMDA receptor activation, and intracellular calcium signaling.
THE RELATIONSHIP BETWEEN FREIGHT REVENUES AND VESSEL DISPOSAL DECISIONS

Gemi sokum pazari, denizcilik pazarindaki arz fazlasini dengelemeye yardimci olur. Bazi faktorler bu sureci hizlandirirken, bazi faktorler ise bu sureci yavaslatir. Navlun gelirleri, bu sureci dogrudan etkileyen en onemli faktorlerden biridir. Cunku yuksek navlunlarin oldugu hareketli piyasalarda eski ve kohne gemiler bile karli bir sekilde operasyonlarini yuruterek piyasada kalmayi basarirlar. Bu dogrultuda bu calisma, navlun gelirleri ile gemiyi sokume gonderme kararlari arasindaki iliskiyi ekonometrik olarak inceleyerek mevcut literature katkida bulunmayi amaclamaktadir. Sokume gonderilen toplam gemi tonaji ve Baltik Kuru Yuk Endeksi degiskenleri secilmistir ve 1985 ile 2015 arasindaki yillik veriler modelde kullanilmistir. Veri kisiti nedeniyle Baltik Kuru Yuk Endeksi navlun gelirlerinin bir temsilcisi olarak secilmistir. Sokume gonderilen toplam gemi tonaji ise sokume gonderme kararlarinin bir sonucu olarak ele alinmistir. Korelasyon ve regresyon analizleri degiskenler arasindaki ekonomik iliskiyi saptamak icin kullanilmistir. Sonuclar navlun gelirleriyle sokume gonderme kararlari arasindaki negatif iliskiyi dogrulamaktadir. Ship demolition market helps to balance over supply in shipping market. Some factors accelerate and some factors slow down this process. Freight revenues are one of the most important factor that directly affect this process. Because even the old and obsolete ships can survive and carry out their operations profitably in buoyant market with high freight rates. In this context, this study aims to contribute existing literature by presenting an econometric analysis of the relationship between freight revenues and ship disposal decisions. Total tonnage sent to the demolition and Baltic Dry Index (BDI) variables are chosen, and annual data between 1985 and 2015 is used in the model. BDI is selected as a representative of freight revenues due to data constraint. Total tonnage sent to the scrapping is taken as a result of the decision to send ships to disposal. Correlation and regression analysis are conducted to determine the econometric relationship between variables. The results verifies the negative relationship between freight revenues and vessel disposal decisions.
Handling Work Complexity with AR/Deep Learning

Complexity is a fundamental part of product design and manufacturing today, owing to increased demands for customization and advances in digital design techniques. Assembling and repairing such an enormous variety of components means that workers are cognitively challenged, take longer to search for the relevant information and are prone to making mistakes. Although in recent years deep learning approaches to object recognition have seen rapid advances, the combined potential of deep learning and augmented reality in the industrial domain remains relatively under explored. In this paper we introduce AR-ProMO, a combined hardware/software solution that provides a generalizable assistance system for identifying mistakes during product assembly and repair.