Miracle-dz/UniFAR-FTUs huggingface dataset:
Grey Matter Volume and Thickness Abnormalities in Young People with a History of Childhood Abuse

Background: Childhood abuse is associated with abnormalities in brain structure and function. Few studies have investigated abuse-related brain abnormalities in medication-naïve, drug-free youth that also controlled for psychiatric comorbidities by inclusion of a psychiatric control group, which is crucial to disentangle the effects of abuse from those associated with the psychiatric conditions. Methods: Cortical volume (CV), cortical thickness (CT) and surface area (SA) were measured in 22 age-and gender-matched medication-naïve youth (aged 13-20) exposed to childhood abuse, 19 psychiatric controls matched for psychiatric diagnoses and 27 healthy controls. Both region-ofinterest (ROI) and whole-brain analyses were conducted. Results: For the ROI analysis, the childhood abuse group compared to healthy controls only, had significantly reduced CV in bilateral cerebellum and reduced CT in left insula and right lateral orbitofrontal cortex (OFC). At the whole-brain level, relative to healthy controls, the childhood abuse group showed significantly reduced CV in left lingual, pericalcarine, precuneus and superior parietal gyri, and reduced CT in left pre-/postcentral and paracentral regions, which furthermore correlated with greater abuse severity. They also had increased CV in left inferior and middle temporal gyri relative to healthy controls. Abnormalities in the precuneus, temporal and precentral regions were abuse-specific relative to psychiatric controls, albeit at a more lenient level. Groups did not differ in SA. Conclusions: Childhood abuse is associated with widespread structural abnormalities in OFCinsular, cerebellar, occipital, parietal and temporal regions, which likely underlie the abnormal affective, motivational and cognitive functions typically observed in this population.
A Comparative Study on the Hydrocracking for Atmospheric Residue of Mongolian Tamsagbulag Crude Oil and Other Crude Oils

Upgrading heavy and residual oils into valuable lighter fuels has attracted much attention due to growing worldwide demand for light petroleum product. This study focused on hydrocracking process for atmospheric residue (AR) of Mongolian crude oil in the first time compared to those of other countries. Residue samples were hydrocracked with a commercial catalyst at 450℃, 460℃, 470℃ for 2 hours under hydrogen pressure of 10 MPa. The AR conversion and yield of light fraction (LF) reached to 90.6 wt% and 53.9 wt%, at 470℃ by the hydrocracking for atmospheric residue of Tamsagbulag crude oil (TBAR). In each sample, the yield of MF was the highest at 460℃ temperature, which is valuable lighter fuel product. The polyaromatic, polar hydrocarbons and sulfur compounds were concentrated in the MF and HF because the large amount of light hydrocarbons produced from TBAR as the increasing of the hydrocracking temperature. The content of n-paraffinic hydrocarbons was decreased in HF of TBAR, on effect of hydrocracking temperature. This result suggests the longer molecules of n-paraffin (С20-С32) in HF were reacted better, than middle molecules of n-paraffin (С12-С20) in MF during the hydrocracking reaction. Because the hydrocarbon components of feed crude oils were various, the contents of n-paraffinic hydrocarbons in MF and HF of TBAR and DQAR were similar, but MEAR’s was around 2 times lower and the hydrogen consumption was the highest for the MEAR after hydrocracking.
A database of semantic features for chosen concepts (Attested in 8- to 10-year-old Czech pupils)

Abstract In this paper, a database of semantic features is presented. 104 nominal concepts from 13 semantic categories were described by young Czech school children. They were asked to respond to the question “what is it, what does it mean? ” by listing different kinds of properties for concepts in writing. Their responses were broken down into semantic features and the database was prepared using a set of pre-established rules. The method of database design, with an emphasis on the way features were recorded, is described in detail within this article. The data were statistically analysed and interpreted and the results along with database usage methodologies are discussed. The goal of this research is to produce a complex database to be used in future research relating to semantic features and therefore it has been published online for use by the wider academic community. At present, databases have been published based on data gathered from adult English and Czech speakers; however participation in this study was limited specifically to young Czech-speaking children. Thus, this database is characteristically unique as it provides important insight into this specific age and language group’s conceptual knowledge. The research is inspired primarily by research papers concerning semantic feature production obtained from adult English speakers (McRae, de Sa, and Seidenberg, 1997; McRae, Cree, Seidenberg, and McNorgan, 2005; Vinson and Vigliocco, 2008).
Metronome-Cued Stepping in Place after Hemiparetic Stroke: Comparison of a One- and Two-Tone Beat

Hemiparetic gait is characterised by temporal asymmetry and variability, and these variables are improved by auditory cueing. Stepping in place incorporates aspects of gait and may be a useful tool for locomotor training. The aim of this pilot study was to investigate the use of a single-tone and dual-tone metronome to cue stepping in place after hemiparetic stroke. Eight participants completed an uncued baseline stepping condition and two cued stepping conditions utilising a single-tone and a dual-tone metronome. Step times were determined from force plate data, and asymmetry and variability were calculated for the three conditions. Step time asymmetry was significantly reduced in the single-tone condition compared to baseline, and paretic step time variability was significantly reduced in both cued conditions. The single-tone metronome appeared to be preferred to the dual-tone metronome based on participant feedback. The results of this pilot study suggest that metronome cueing produces similar benefits on stepping in place to previously reported findings in walking. Further research on whether stepping in place to a metronome can be used for locomotor training is needed.
From polar night to midnight sun: Diel vertical migration, metabolism and biogeochemical role of zooplankton in a high Arctic fjord (Kongsfjorden, Svalbard)

Zooplankton vertical migration enhances the efficiency of the ocean biological pump by translocating carbon (C) and nitrogen (N) below the mixed layer through respiration and excretion at depth. We measured C and N active transport due to diel vertical migration (DVM) in a Svalbard fjord at 79°N. Multifrequency analysis of backscatter data from an Acoustic Zooplankton Fish Profiler moored from January to September 2014, combined with plankton net data, showed that Thysanoessa spp. euphausiids made up > 90% of the diel migrant biomass. Classical synchronous DVM occurred before and after the phytoplankton bloom, leading to a mismatch with intensive primary production during the midnight sun. Zooplankton DVM resulted in C respiration of 0.9 g m−2 and ammonium excretion of 0.18 g N m−2 below 82 m depth between February and April, and 0.2 g C m−2 and 0.04 g N m−2 from 11 August to 9 September, representing > 25% and > 33% of sinking flux of particulate organic carbon and nitrogen, respectively. Such contribution of DVM active transport to the biological pump in this high‐Arctic location is consistent with previous measurements in several equatorial to subarctic oceanic systems of the World Ocean. Climate warming is expected to result in tighter coupling between DVM and bloom periods, stronger stratification of the Barents Sea, and northward advection of boreal euphausiids. This may increase the role of DVM in the functioning of the biological pump on the Atlantic side of the Arctic Ocean, particularly where euphausiids are or will be prevalent in the zooplankton community.
Depth Estimation Using Collection of Models

- Today images are easy to acquire, view, publish, and share however they lack critical depth information as the images usually are projected views of a 3-D scene. This makes severe restrictions for many image manipulation, editing, and retrieval tasks. Depth estimation is a technique that aims to retrieve depth information either based on depth cues such as texture, focus and shading or using collection of 3D models. With the recent considerable interest in 3D image analysis, estimating depth information has become a rapidly evolving topic in computer vision research. Also it finds applications in various imaging applications including depth-enhanced image editing, novel view generation etc. Hence, we have strong motivation to consider the problem of adding depth to an image of an object and provide a basis for 3D reconstruction. In this paper, we present an automatic method to find depth information of single image by employing collection of models of the same object class. The key advantage of this method is that even if the dataset does not contain the exact 3D model of the imaged object, it will characterize shape components and generate its depth map. We apply our method on various indoor objects like lamp, chair, cup and car and obtain plausible depth maps.
Geochemical Signatures in Scales Record Stream of Origin in Westslope Cutthroat Trout

Abstract We used laser ablation inductively coupled plasma mass spectrometry (ICP-MS) to quantify the elemental composition of Mg: Ca, Mn: Ca, Sr: Ca, Ba: Ca, and Pb: Ca ratios in scales from juvenile westslope cutthroat trout Oncorhynchus clarkii lewisi collected from 13 streams in three major drainages (North Fork, South Fork, and Middle Fork) of the upper Flathead River system in Montana during summer 2001 and 2002. We also determined element: Ca levels within natal streams in summer 2001 and 2002. The concentrations of Sr: Ca and Ba: Ca in westslope cutthroat trout scales were highly correlated with those in the water. The multivariate elemental signatures of the scales differed significantly among streams. A forward stepwise discriminant function analysis was used to classify individual fish, first to the drainage of origin and then to the natal stream while considering all 13 streams simultaneously. At the drainage level, cross-validated classification accuracy was 91% in the Middle Fork, 81% in the.
Limited Information Goodness-of-fit Testing in Multidimensional Contingency Tables

We introduce a family of goodness-of-fit statistics for testing composite null hypotheses in multidimensional contingency tables. These statistics are quadratic forms in marginal residuals up to order r. They are asymptotically chi-square under the null hypothesis when parameters are estimated using any asymptotically normal consistent estimator. For a widely used item response model, when r is small and multidimensional tables are sparse, the proposed statistics have accurate empirical Type I errors, unlike Pearson’s X2. For this model in nonsparse situations, the proposed statistics are also more powerful than X2. In addition, the proposed statistics are asymptotically chi-square when applied to subtables, and can be used for a piecewise goodness-of-fit assessment to determine the source of misfit in poorly fitting models.
The dynamic relationship between competitive priorities and manufacturing best practices : a longitudinal analysis patterns by

This work investigates the relationship between manufacturing best practices and competitive priorities. By means of data provided by four editions of the IMSS dataset, a longitudinal analysis is performed to analyze to which extent this relationship is stable over time. Results provide evidence that some best practices have always been adopted to pursue specific goals while others have changed their role over time. This work provides empirical evidence that the role of manufacturing best practices changes over time and it emphasizes the importance for companies to adopt specific practices to pursue clear competitive goals and not simply for imitation.
Oral motor rehabilitation for temporomandibular joint disorders : a systematic review Tratamento para disfunções temporomandibulares : uma revisão sistemática

Introduction: Disorders of TMJ are complex and multifactorial. Studies comparing different treatment methods are found in the literature. Purpose: To verify the effectiveness of muscle and orofacial myofunctional rehabilitation for temporomandibular joint disorders (TMJ). Research strategy: This qualitative review of the literature analyzed international scientific publications in PubMed database that used the following keywords: temporomandibular disorders and oral motor therapy; orofacial myofunctional therapy and temporomandibular disorders; temporomandibular disorders and myofunctional rehabilitation. Our investigation was limited to articles published in English or Portuguese languages, between January 2006 and December 2016. Selection criteria: Scientific publications about rehabilitation strategies for TMJ associated to muscle exercises and/ or manual therapy were included. The publications that did not present access to the full text, that were repeated by overlapping keywords, case studies, letters to the editor and those that were not directly related to the topic of investigation were excluded. Results: One hundred and two studies were identified out of which 22 matched our inclusion criteria. Overall, most of the treatments described in the investigated studies presented positive outcomes for the patients with TMJ. The studies presented a wide variability in terms of treatment proposals and methodology used to verify treatment effectiveness. A very small number of studies included control groups. Combined techniques (e.g. exercises associated to the use of equipment to reduce pain) produced better therapy effects, with greater pain reduction and improved mandibular mobility. Conclusion: Although we observed a growing number of publications about TMJ rehabilitation, the best therapeutic technique and its real benefits remains unclear.
Phyto-nutritional and mineral composition of Indian Horse Chestnut (Aesculus indica) seeds

Primarily, Indian Horse Chestnut Seed Extract (HCSE) was used only pharmacologically for human purposes. It has an anti-allergic, anti-inflammatory, anti-microbial, anti-cancer, antiviral and antidiarrheal activity. But now days, it gain nutritional importance rapidly. The seeds varying nutritionally in raw fresh flour and processed flour (tatwakhar) form after processing. The estimated total sugars (% glucose) of fresh and processed flour were 20.23 and 13.47, respectively. Starch (%) was 27.83 and 66.47 content in fresh and processed flour correspondingly. The mineral contents of fresh flour viz. calcium (8.20), phosphorus (19.00), potassium (81.00), copper (0.60), manganese (0.50), iron (8.50) and zinc (705.90) (mg/100g) were determined. Phytochemicals present in the seeds, such as total phenols, tannins and flavonoids values were followed as 785.25, 747.43 and 47.00 (mg GAE/g).
Mergers and Acquisitions: Their Role in the Process of Diversification of an Enterprise

This article aims to present the possibilities of using mergers and acquisitions (M&As) in diversification. Its theoretical part contains definitions of diversification and a review of literature on M&As in enterprise growth. Next, it analyzes the M&A market in Poland compared to the markets of Central and Southeast Europe. It presents diversification in the light of the main theories of firm growth and contains a review of the research on the subject of diversification as a growth concept of companies. The empirical section presents case study analyses of six Polish companies regarding the ways in which the firms pursue diversification. The research shows that the dairy companies engage in product diversification, while the meat firms implement industrial diversification. The companies examined in the course of research exemplify the phenomena connected with the use of M&As in diversification.
The Diversity of Information Acquisition Strategies in a Noisy REE Model with a Common Signal and Independent Signals

AbstractIn this paper, I study a noisy REE model of asset market with two types of costly private signals: a common signal with an identical error term and independent signals with dispersed error terms. Studying investors' endogenous information acquisition, I show that (i) investors observing the common signal and those observing the independent signals are likely to coexist in the equilibrium, (ii) at most, three equilibrium strategies can coexist, and (iii) when the equilibrium has three strategies, the evolutionary learning dynamics of investors can exhibit detours and cyclical oscillation.
The Relationship between Adoption of Coffee Certification Standards and Productivity in Nyeri County in Kenya

Standards have been applied as strategic tools to help organizations increase productivity, and improve competitive advantage. They facilitate free and fair global trade, enhance customer satisfaction through improved quality, open new global markets by preventing trade barriers and increase market share. The objective of this study was to investigate the relationship between adoption of coffee certification standards; Fairtrade, UTZ, and Rainforest Alliance on coffee productivity in Nyeri County. A cross-sectional study design was used to describe the current situation and establish any relationships between adoption of coffee certification standards and productivity. Researcher administered questionnaires were used to collect data from 270 coffee farmers. Stratified random sampling was used to sample the farmers in each agroecological zone. Productivity was defined as kilograms cherry produced per coffee tree. Data on coffee production and marketing activities for the 2013/2014 coffee year was collected and analyzed into descriptive and inferential statistics. Data was analyzed using non- parametric methods after subjecting it to normality test. The productivity populations were significantly different (p=0.008)with a c 2 value of 13.82. Fairtrade was the most prevalent standard at 70.7% adoption rate. The mean coffee productivity resulting from adoption of Fairtrade, Rainforest Alliance and UTZ were 6.38, 4.11 and 5.21 kg cherry per tree respectively. The mean effect of certification to Fairtrade on productivity compared to Rainforest Alliance was significantly different (p=0.01). Agro-ecological zoning did not have a significant effect (p=0.67) on coffee productivity. The mean productivity rank for Fairtrade was significantly different (p=0.02) compared to that for non-Fairtrade with mean productivity of 6.21 and 4.39 kg cherry/tree respectively. Fairtrade combined with Rainforest Alliance had a synergistic effect resulting to increased productivity of 6.78kg per tree compared to the individual standards. The recommendations from the study are:promotion of coffee certification standardsto coffee farmersas a way of improving productivity and further researchon the effects of adoption ofothersustainability standards on coffee productivity and on other crops.
Preparation of Selective Sensors for Cyproheptadine Hydrochloride based on Molecularly Imprinted Polymer used N, N-Diethylaminoethyl Methacrylate as Functional Monomer

The research involved the preparation of four selective sensors for cyproheptadine hydrochloride using molecularly imprinted polymers (MIPs) method. The process of polymerization was used for preparation of MIP using cyproheptadine hydrochloride as the template with N, N-(diethylaminoethyl methacrylate) (NDMAT) as monomer, N, O-bismethacryloyl ethanol amide (NBMEA) as cross linker, and 2, 2azobisisobutyronitrile (AIBN) as initiator. Preparation of membrane as sensors for electrode construction based on different plasticizers, di-isodecyl adipate (DIA), diisobutylmaleate (DIBM), 2-nitrophenyldodecylether (NPDE) and 3-trimethyltrimellitata (TMTM). The selective sensors were tested and their susceptibility to the estimation of the cyproheptadine hydrochloride, the selectivity coefficients of inorganic ions, sugars, amino acids, and drugs were also studied. The experimental results showed that the best electrode was based on DIA and TMTM as plasticizers, displaying a linear range from1×10-1-3×10-4M and 1×10-1-2×10-4M with a Nernstian slope of 58.4 mV/decade and 55.8 mV/decade, correlation coefficient of 0.9998 and 0.9993. The detection limit was 3.3×10-5 M and 2.4×10-5, the lifetime was around 30 and 48 days respectively. The proposed electrodes were applied successfully to the determination of cyproheptagine in a pharmaceutical preparation.
Americas Conference on Information Systems ( AMCIS ) December 2002 IT CAPABILITY AND ITS IMPACT ON FIRM PERFORMANCE THROUGH THE LENS OF IT INTENSITY AND GROWTH RATE

While a lot of research has been conducted on IT investments, only a few studies have focused on IT capabilities and industry level resources. Past research has shown that both managerial characteristics and industry environment are key elements to understand the impact of IT investments on firms performance. In this study two aspects of industry level are being considered: IT intensity and growth rate. Therefore, the overall objective of this research is to evaluate the role IT intensity and growth rate play to leverage IT capabilities, which in turns affect firms performance.
Climate-driven changes in coastal marine systems of western Europe

Coastal marine systems, the interface between the ocean and terrestrial realms, are among the most important systems on the planet both ecologically and economically because of their crucial role in earth system functioning. Although direct impacts of human activities on physical, chemical and biological components of these systems have been widely documented, the potential influence of climate variability is less well known. Here, we used data from Service d'Observation en Milieu Littoral (SOMLIT), a marine monitoring programme that has since 1997 collected samples at 12 sites located along the French coasts from 42° to 51° N. Applying standardised principal compo- nent analysis (PCA), we documented the year-to-year fluctuations in these coastal systems and eval- uated the potential influence of climate variability using data on atmospheric circulation (wind inten- sity and direction), precipitation and temperature. Our study revealed a pronounced sensitivity of these systems to climate variability. As the impact of climate change may become more prominent in the next decades, this study suggests that climate might strongly influence the marine coastal envi- ronment and act in synergism with other anthropogenic pressures to alter the state and functioning of biological and ecological systems and the services they provide.
Hesse Rendering for Computer Aided Visualization and Analysis (CAVA) of Anomalies in Chest CT and Breast MRI

As a complement to maximum intensity projection (MIP) and direct volume rendering of the Hounsfield densities, a Hesse rendering can show the local curvature of structures rather than the densities. Color coding of the local curvatures, or simply of the eigenvalues of the local second derivatives, can provide an intuitive navigation device to blob-like anomalies in the lung such as pulmonary nodules and lymph nodes. Evaluation results based on the LIDC-IDRI lung image database indicate that the more radiologists agree on a certain anomaly to be a lung nodule, the brighter it appears in the Hesse rendering. The Hesse-rendering might thus be a complementary approach to classical computer aided detection approaches with explicit markers.