Miracle-dz/UniFAR-FTUs huggingface dataset:
The Association between Brain-Derived Neurotrophic Factor Gene Polymorphisms and Suicidal Behavior in Major Depression

Objectives: Previous studies have suggested that genetic factors affect suicidal behavior in major depression. In particular, Brain-Derived Neurotrophic Factor (BDNF) genes have received much attention because of a possible association between such genes and suicidal behavior in major depression. In this study, we aimed to investigate associations between two BDNFSNPs (196G/A, 11757G/C) and suicidal behavior in major depression. Method: Participants were 120 Major Depressive Disorder (MDD) patients attempting suicidal behavior, 117 non-suicidal MDD patients and 180 healthy controls. The genotype and allele frequencies of each group were analyzed using chi-squared statistics. Frequencies and haplotype reconstructions were calculated using SNP Analyzer 2.0. Results: No significant associations were found between genotype distributions or allele frequencies of the two tested polymorphisms (196 G/A, 11757G/C) among suicidal MDD patients, non-suicidal MDD patients and controls. In the haplotype study, there was also no significant difference in haplotype analysis between suicidal MDD patients and non-suicidal MDD patients. However, the BDNF 196A–11757C haplotype combinations and196G– 11757C haplotype combination were significantly lower in the suicidal MDD group and non-suicidal MDD group compared to healthy controls. Conclusion: We did not find any relation between the tested BDNF genes and suicidal behavior in MDD. However, this study is significant in that this is the first haplotype study that tried to identify the associations between BDNF SNPs and suicidal behavior in a Korean population. Future research should be conducted with larger sample size sand more genetic markers, taking ethnicity into consideration. associations polymorphisms differences and using haplotype
Emoji usage in brand communication through social media: An evaluation on Turkey context

As one of the crucial elements in today’s communication, the emoji concept contains helpful insights about the market environment and brand communication. The research on emoji concept for Turkey context is limited and primarily based on traditional marketing research approaches, and this study aims to provide a data-based approach for understanding the concept by a 25.134 tweets sample from 5 industries/25 brands. The first section of the study uses the data retrieved through Twitter API by an exploratory approach that utilizes emoji presence, emoji density, and emoji variety variables. The second stage filters the sample by average interaction amounts and examines the sample by emoji categories and emotions. 21% emoji intensity and 15% emoji variety are found for the overall sample, while the smileys & people category is the most used category in the second stage sample. Top used emojis and emoji sentiment findings are also concluded in the study.
Hybrid Spectrum Sensing Techniques in 5G Cognitive Radio Networks in Soft Computing: A Review

This paper describes an updated and efficient method for Hybrid spectrum sensing in cognitive radio (CR) system utilizing soft computing paradigms. The suggested soft computing approach utilizes an artificial neural network and for learning and decision making as a solution to the problems when a new product is subjected to the CR framework, developed the ability for unlicensed cognitive users to access radio frequencies through a spectrum hole and understand its implications through mechanisms spectrum sensing. The suggested soft computing approach could then be referred to as the Neuro technique. The need for higher bandwidth is important with the rise in the number of communication devices. Usage of cognitive radio for the fifth generation 5G communication network of the next generation Consider the fact that CR technology will efficiently optimize the use of much of the unused communication spectrum bands for the future 5G of wireless network and beyond. Keyword : Hybrid spectrum sensing, 5G Cognitive Radio (CR), ANN technique.
FERMI: the first externally seeded Free Electron Laser in the extreme ultraviolet and soft X-ray spectral regions

FERMI is a seeded Free Electron Laser (FEL) user facility at the ELETTRA-Sincrotrone laboratory (Trieste). This 4th-gen. light source is based on two FELs operating in the high gain harmonic generation mode. The light from a laser is up-converted in frequency and amplified in the VUV to EUV and soft X-rays spectral range. The FERMI FELs are characterized by a number of desirable properties, such as wavelength stability, low temporal jitter and longitudinal coherence. We provide an overview of the FEL performances, and of the various modes of operation for the generation of multiple color multiple pulses.
Advantages of aptamers as ligands upon protein detection by AFM-based fishing

A combined AFM/MS method was employed for protein registration in solution. This method is based on reversible specific capturing of a target protein from a large volume of analyzed solution onto a small sensor area of a chip with immobilized aptamer ligands. Fishing of the core antigen of hepatitis C virus (HCVcoreAg) from 10−12 M solution of this protein in buffer was carried out. It has been shown that the AFM/MS method allows the detection of HCVcoreAg in the form of a protein conjugate as well as in the presence of protein matrix (components of human serum). At the first stage, aptamer/antigen complexes were AFM-registered on the chip surface after its incubation in 10−12 M solution of antigen in buffer. A technique for the analysis was developed, and criteria for the evaluation of AFM analysis data based on the counting of the aptamer/antigen complexes were proposed. At the second stage, the mass spectrometric identification of protein objects on the chip surface was accomplished; this allowed the reliable identification of the target protein (the core antigen of hepatitis C virus, HCVcoreAg) and confirmed the AFM analysis data.
Technology Introduction as a Time-Extended, Social Process: Key Articulations in the Literature

What happens after new technologies have been rolled out in organisations? This question has motivated a wide range of academic works in diverse intellectual communities, such as HCI (Bannon and Bødker, 1989), STS (Mackay and Gillespie, 1992), Organisational Studies (Lewis and Seibold, 1993) and IS (Lamb and Kling, 2003). This issue has assumed increasing importance in light of recent proliferation of new malleable technologies. Different notions such as ‘postimplementation participation’ (Wagner and Newell, 2007), ‘post-adoptive behaviours’ (Jasperson, Carter and Zmud, 2005), ‘ICT appropriation’ (Hussenot, 2008) and ‘mutual adaptation’ (Bansler and Havn, 2006) have been put forward to answer this question. What these notions have in common is an acknowledgement of the limitations of dominant decision-oriented approaches to IT implementation (Swanson, 1974), technology acceptance (Davis, 1985), and task-technology fit (Goodhue and Thompson, 1995).
A HEVC Steganalysis Algorithm Based on Relationship of Adjacent Intra Prediction Modes

Currently, many High Efficiency Video Coding (HEVC) video steganography algorithms based on Intra Prediction Mode (IPM) have been proposed. However, the existing IPM-based video steganalysis algorithms are almost designed for H.264/AVC videos, without considering the unique coding techniques in HEVC, which is the latest video codec standard. Thus, it is of significant value to study IPM-based steganalysis for HEVC videos. In this paper, the general process of IPM-based HEVC steganography is modelled for the first time, and we find that the basic distortion existing in the change of the relationships between each embedded IPM and the adjacent IPMs. By exploiting these weaknesses, we propose a novel IPM steganalysis algorithm based on the Relationship of Adjacent IPMs (RoAIPM) feature. In detail, the RoAIPM is extracted by generating different directional Gray-Level Co-occurrence Matrixes (GLCMs) and texture characteristics of three refilled matrixes: MPM-IPM matrix, Left-IPM matrix and Up-IPM matrix. Experimental results show that, the proposed RoAIPM feature is very sensitive to the little change introduced by IPM-based steganography. Regardless of whether the feature is after dimension reduction or not, in various coding conditions, the proposed steganalysis can both present a well higher detection accuracy against the latest IPM-based HEVC steganography methods and achieve the lowest computational complexity compared with the state-of-the-art works.
Mécanismes de base dans la co-implantation hélium - hydrogène du silicium

Parmi les materiaux de base utilises en microelectronique, le SOI (silicium sur isolant), fabrique par la technologie Smart CutTM, a reussi a tirer son epingle du jeu. Cette technologie enchaine plusieurs etapes cles, dont l'une est l'implantation ionique d'hydrogene. Pour des raisons economiques, l'utilisation d'hydrogene a forte dose a ete remplacee par une co-implantation helium / hydrogene. La co-implantation est un " systeme " complexe, recent et donc relativement peu compris. Nous avons propose un scenario decrivant la transformation des platelets en microfissures puis en onde de fracture. Les populations de defauts croissent en moyenne selon un murissement d'Ostwald, mais une faible partie des defauts interagit par coalescence. Nous avons trouve un critere d'interaction base sur la taille des defauts et la distance les separant. Nous avons teste et valide la spectroscopie Raman comme technique permettant d'identifier les complexes hydrogenes mis en jeu apres implantation et en cours de recuit. Nous avons ainsi pu verifier l'etape de nucleation des platelets dans plusieurs conditions d'implantation. Nous avons montre que la redistribution de l'helium est essentiellement due a la diffusion et au piegeage de l'helium sur les platelets generees par l'implantation d'hydrogene, a l'aide d'un modele physique simple. La reduction de dose spectaculaire de la co-implantation par rapport a l'implantation standard d'hydrogene provient majoritairement du fait que l'helium est un gaz monoatomique, contrairement au dihydrogene. Nous avons egalement montre que le retard sur les cinetiques de fracture avec l'ordre d'implantation inverse est un effet purement balistique.
Reflectance Spectroscopy of Organic Matter in Sedimentary Rocks at Mid-Infrared Wavelengths

Reflectance spectroscopy is a rapid, non-destructive technique capable of characterizing mineral and organic components within geologic materials at spatial scales that range from μm to km. The degree to which reflectance spectra can be used to provide quantitative information about organic compounds remains poorly understood, particularly for rocks with low organic content that are common in the Earth’s ancient rock record and that may be present on other planetary bodies, such as Mars. In the present study, reflectance spectra (0.35–25 μm) were acquired for a suite of Proterozoic shales and the kerogen was isolated to assess how spectral properties of aliphatic and aromatic C-H absorption bands can be used to predict organic matter abundance (total organic content, TOC, and H/C ratio). A number of spectral parameters were evaluated for organic absorption bands observed in the 3–4 μm wavelength region for comparison with independently measured TOC and H/C values. Ratios of the strengths of aliphatic to aromatic absorption bands were directly correlated to H/C values, but the reflectance spectra for pure kerogens with H/C < 0.2 lacked clear evidence for C-H absorption bands in this spectral region. Organic absorption bands are routinely observed for bulk rock powders with <1 wt. % TOC, but the detection limits of reflectance spectra for TOC may be >1 wt. % or as high as 10 wt. %. Organic detection limits for reflectance spectra are, thus, controlled by both TOC and H/C values, but these parameters can be predicted for clay-rich, kerogen-dominated samples for a range of values that are relevant to drill cores, outcrops, meteorites, and planetary surfaces.
Sub-20 nm Nanopores Sculptured by a Single Nanosecond Laser Pulse.

Single-molecule based 3rd generation DNA sequencing technologies have been explored with tremendous effort, among which nanopore sequencing is considered as one of the most promising to achieve the goal of $1,000 genome project towards personalized medicine. Solid state nanopore is consented to be complementary to protein nanopore and subjected to extensive investigations in the past decade. However, the prevailing solid-state nanopore preparation still relies on focused ion or electron beams, which are expensive and time consuming. Here we demonstrate the fabrication of nanopores down to 19 nm with a single nanosecond laser pulse. The laser drilling process is understood based upon a 2D axisymmetric transient heat transfer model, which predicts the laser fluence-dependent pore size distribution and shape with excellent agreement to electron microscopy and tomography analysis. As-drilled nanopore devices (26 nm) exhibit adequate sensitivity to detect single DNA molecule translocations and discriminate unfolded or folded events. Sub-10 nm nanopores can be readily achieved upon a thin layer of alumina deposition by atomic layer deposition, which further improves the DNA translocation signal to noise ratio considerably. Our work provides a solution for fast, low-cost and efficient large-scale fabrication of solid state nanopore devices for the 3rd generation nanopore sequencing.
Facile and low‐cost fabrication of uniform silicon micro/nanostructures by nanopitting‐assisted wet chemical etching

Silicon micro/nanostructures are promising building blocks for high-performance solar cells, lithium-ion batteries, sensors and so on. Great challenges like high cost and complex fabrication process still exist for the fabrication of silicon micro/nanostructures, especially for the fabrication of uniformly distributed silicon micro/nanostructures. In this study, the generally unwelcome failure of materials, nanopitting, was introduced and demonstrated to be effective in micro/nanofabrication for the first time. Together with wet chemical etching, uniformly distributed silicon micro/nanostructures were obtained. Ag islands were formed by the nanopitting of chloridion, which will be used as mask and catalyser in the chemical etching process. The silicon micro/nanostructures, especially, uniformly distributed p-type silicon micro/nanostructures were fabricated with the low-cost and facile fabrication approach. In addition, the application of the silicon micro/nanostructures was demonstrated as microsupercapacitive electrodes with the integration of MnO2 nanostructures. The results show that the electrochemical performance of silicon micro/nanostructures was much better than that of silicon microstructures. The proposed approach is cost-effective to fabricate silicon micro/nanostructures, and the silicon micro/nanostructures have great potentials in miniaturised energy storage devices, sensors and photodevices.
Investigation on the Properties of Pure and Strontium Doped NiO Nanoparticles by Co-Precipitation Method

Article history: Received 17 May 2018 Accepted 07 June 2018 Available online 08 June 2018 Pure and strontium doped nickel oxide nanoparticles were synthesized by co-precipitation method and calcinated at 400 °C from nickel chloride as precursor agent and strontium chloride as doping agent. The samples have been studied by various characterization techniques such as UV-visible, FTIR, XRD and FESEM. The crystallite size and structure of NiO nanoparticles were calculated from XRD pattern. The morphology and particles shape were analyzed by FESEM studies. The SPR absorption peak and band gap value were calculated by UV-visible absorption spectra.
Encotyllabe spari do not live in Brazil: Morphological and molecular evidence confirm two new species of Encotyllabe (Monogenea: Capsalidae) from Brazil

BackgroundCurrently, 24 species of Encotyllabe Diesing, 1850 (Monogenea: Capsalidae) are listed in WoRMS, but the validity of many species has been questioned due to deficient or incomplete descriptions. On the other hand, almost all species in the genus have been described from one host species or closely related host species, suggesting host specificity, but other species, specifically Encotyllabe spari Yamaguti, 1934, have been reported at least from 19 species belonging to nine families in two orders (Perciformes and Scorpaeniformes) from Japan, the Arabian Gulf and Brazil. Concerning Brazilian records of Encotyllabe spari (but also as Encotyllabe cf. spari); seven host species belonging to four families and two orders have been reported as hosts for this species. The aim of this study was to describe two new species of Encotyllabe from Brazil, previously considered as E. spari.MethodsDuring 2016, we examined specimens of Orthophristis ruber (Cuvier) (Haemulidae) and Pagrus pagrus (Linnaeus) (Sparidae) caught off the coast of Cabo Frio, Rio de Janeiro, Brazil by local fishermen. Specimens of Encotyllabe were collected from the pharyngeal plates of the hosts. Morphological and morphometric (multivariate analysis of proportional measurements standardized by total length) and molecular analysis (LSU rRNA and cox1 gene) were performed in order to identify the collected monogenea. ResultsThe presence of two new species of Encotyllabe, Encotyllabe yamagutii n. sp. and Encotyllabe haemuli n. sp. , parasitizing the pharyngeal plates of Pagrus pagrus and Orthopristis ruber, respectively, is strongly suggested by the three approaches used in this study. The main morphological differences from the most related species include a combination of body size, shape of the penis, and size and position of the testes.ConclusionsSpecimens of Encotyllabe, hitherto recorded as E. spari or E. cf. spari, belong to two new species. Our results suggest that the host specificity for members of Encotyllabe and specimens registered as E. spari, other than those from the original description, must be revisited.
LIQUID FLOW METER CALIBRATIONS WITH NIST’s 15 kg/s Water FLOW STANDARD

1 1.0 Introduction . 1 2.0 Description of Measurement Services . 3 3.0 Procedures for Submitting a Flow Meter for Calibration . 4 4.0 Description of the Liquid Flow Standard . 4 4.1 Flow generation, control, and stabilization . 6 4.2 Dynamic weighing system . 6 4.3 Test section . 8 5.0 Flow Measurement Principle of Dynamic Weighing . 8 5.1 Mass flow due to storage effects in the connecting volume . 11 6.0 Processing the Mass and Time Data to Calculate Flow . 12 7.0 Comparison to NIST’s Existing Liquid Flow Standards . 13 8.0 Uncertainty . 14 8.1 Techniques for uncertainty analysis . 16 8.2 Contributions to the relative standard uncertainties of the mass and volume flow . 17 8.2. a. Mass and time measurements . 17 8.2. b. Buoyancy corrections . 22 8.2. c. Mass storage in the connecting volume . 22 . 24 8.2. d. Water density at the MUT . 25 8.3 Combined uncertainty of the LFS mass and volume flow . 25 8.4 Combined and expanded uncertainty of the calibration factor . 26 8.5 Uncertainty considerations for a customer meter under test . 28 9.0 Summary . 29 10.0 References . 30 Appendix A: Sample Calibration Report . 32 Appendix B: Formulas for Sensitivity Coefficient Equations . 36 Appendix C: Nomenclature . 38
Impact of Hypnea pannosa on Lipid Profile

The marine biosphere includes abundance of organism about 500,000 species in 30 phyla. Seaweeds have been used as a source drugs over a long period of time in folk medicine. The earliest particulars on sea weed utilization originate from Chinese materia medica of Shen-nung written in 2700 B.C. The medicinal importance of seaweed is increasing day by day and is expected to play a major role in health of human race, since is known as an excellent source of vitamins and minerals, especially sodium and iodine [2].
Process Based Modeling of Energy Consumption for Multi-material FDM 3D Printing

Fused deposition modeling (FDM) is one most cost-effective 3D printing technique for forming complex 3D components based on thermoplastic materials. The energy consumption analysis is one criterion to determine the capacity and sustainability of the FDM. In this paper, the energy consumption of a dual- extruder FDM is studied by differentiating the whole multi-material printing process into independent operation modes, which characterize the thermal behaviors of the printing parameters. By investigating the execution instruction which describe the tooling plan of the FDM, the nozzle temperature distributions with different filament materials are measured and simulated. The energy consumption details can be accurately captured in our work and therefore we are able to predicate the power demand changes with different working processes of the multi-material FDM 3D printing. This work will be beneficial for optimization of 3D printer design and manufacturing sustainability in next.
Machine Learning Based Indoor Localization using Wi-Fi and Smartphone

Wi-Fi based indoor positioning with the help of access points and smart devices have become an integral part in finding a device or a person’s location. Wi-Fi based indoor localization technology has been among the most attractive field for researchers for a number of years. In this paper, we have presented Wi-Fi based in-door localization using three different machinelearning techniques. The three machine learning algorithms implemented and compared are Decision Tree, Random Forest and Gradient Boosting classifier. After making a fingerprint of the floor based on Wi-Fi signals, mentioned algorithms were used to identify device location at thirty different positions on the floor. Random Forest and Gradient Boosting classifier were able to identify the location of the device with accuracy higher than 90%. While Decision Tree was able to identify the location with accuracy a bit higher than 80%.
Module-Level Power Electronics under Indoor Performance Tests

In the last decade, very few papers with outdoor measurement test results were published, which demonstrated a benefit of module-level power electronics (MLPE) higher than the measurement uncertainty. Due to the expected small difference in efficiency between conventional string-inverter based and MLPE systems, indoor measurements are required to exclude natural variation of solar irradiance in outdoor tests. Therefore, indoor efficiency measurements were performed on MLPE. Afterwards, the indoor measured efficiency of the single PV module DC/DC power optimizers were multiplied with the DC/AC inverter measurements. The final system efficiency with the maximum average value resulted in 94.78 % and with the power weighted efficiency in 94.37 %. Accordingly, if mismatches are neglected, the analysed MLPE system is expected to yield approximately 2.82 % less energy than a comparable stringinverter based system in unshaded conditions. However, in the case of shading, the tested system with heavy-shading orthogonal to the cell strings was estimated to yield approximately 3.5 % more energy on a clear-sky day in March in Winterthur, Switzerland. The performances determined in the tests are significantly lower than the efficiencies provided by the datasheet of the power optimizers (around -2.29 %). However, they are still presumed to provide significant additional yields for PV systems with mediumand heavy-shading conditions.