Miracle-dz/UniFAR-FTUs huggingface dataset:
The trend of lessepsian fish populations with an emphasis on temperature variations in Iskenderun Bay, the Northeastern Mediterranean

Funding information Cukurova University, Grant/Award Number: SUF2013-BAP7 Abstract The fish assemblages of the Eastern Mediterranean are highly variable owing to the Lessepsian migration. So far, there has been limited discussion about the temporal variation of Lessepsian populations, which may be a key to better understanding the establishment, persistence and spreading dynamics of these species. The objective of this study was, therefore, to develop an understanding of inter-annual variations of Lessepsian fish populations through investigating the effects of climate conditions. For this purpose, we evaluated the data obtained from the seasonal bottom trawl surveys conducted over the course of 12 years, from 2004 to 2015, at the infra-littoral zone of Iskenderun Bay. Our results indicated that Lessepsians constituted 27%, 62% and 85% of total teleost fishes in the number of species (LS-%), biomass (LW-%) and abundance (LN-%), respectively. The linear trends showed that the dominance of Lessepsian fishes increased with annual rates of 1.9 (p < .01, LS%), 2.77 (p < .01, LW-%) and 1.43% (p < .05, LN-%) per year during the study period. In contrast, seasonal trend decomposition based on GAMMs revealed that the true shape of trends was non-linear. The majority of the new Lessepsians entered the study area after 2009 when warmer conditions prevailed. Those new invaders such as Nemipterus randalli, Pomadasys stridens and Apogon smithi successfully settled in a short time and remarkably altered the composition of fish assemblages after 2010. We found that variations of lessepsian fish assemblages were correlated with the increase of annual minima and average values of sea surface temperature.
Plant Genetic Control over Infection Thread Development during Legume-Rhizobium Symbiosis

Legumes possess by unique possibility to interact with soil proteobacteria, known as rhi- zobia, forming on the roots the special organs called symbiotic nodules, where nitrogen fixation takes place. To form the nodule, rhizobia should penetrate inside root tissue, where they colonize a nodule primordium, formed from the reactivated root cells. One of the ways of root infection by rhizobia occurs via formation of a transcellular tubular struc- ture, termed infection thread (IT), which grows through the cytoplasm by apical deposi tion of primary cell wall material. Numerous mutants impaired in the infection thread development were obtained in different legumes. Genetic analysis has revealed that mutants belong to different complementation groups; this means the existence of precise genetic control over infection thread development. Moreover, it was suggested that infec tion and nodule organogenesis are regulated with independent but coordinated genetic programs. Using the model legumes, a set of plant genes, controlling infection thread development was identified. These genes encode transcriptional factors, LysM receptor kinases, E3 ubiquitin ligases, SCAR/WAVE actin regulatory complex, nitrate transporter, remorins, flotillins, proteins involved in membrane biogenesis and traffic, and some other components. In this review, we briefly summarized our current knowledge about genetic control over developmental processes associated with infection thread.
Cloning of Candida albicans SEC14 Gene Coding for a Putative Essential Function Homologue

protein secretion; pathogenic fungi; PI-TP INTRODUCTION Protein secretion is an essential process carried out by all living cells. In eukaryotes, the secretory pathway plays an essential role in cellular physiol- ogy, involving an initial translocation event of proteins across the membrane of the endoplasmic reticulum (ER) followed by transport from the ER to the Golgi apparatus and to the cell surface. In the model yeast
Clinical management of sickle cell liver disease in children and young adults

Liver involvement in sickle cell disease (SCD) is often referred to as sickle cell hepatopathy (SCH) and is a complication of SCD which may be associated with significant mortality. This review is based on a round-table workshop between paediatric and adult hepatologists and haematologists and review of the literature. The discussion was prompted by the lack of substantial data and guidance in managing these sometimes very challenging cases. This review provides a structured approach for the diagnosis and management of SCH in children and young adults. The term SCH describes any hepatobiliary dysfunction in the context of SCD. Diagnosis and management of biliary complications, acute hepatic crisis, acute hepatic sequestration and other manifestations of SCH are discussed, as well as the role of liver transplantation and haemopoietic stem cell transplantation in the management of SCH.
Effects of Parenting Styles on Psychological Problems by Self Esteem and Gender Differences

Current research supports the lasting effects of parenting styles on children and adolescents’ self-esteem, and internalizing and externalizing problems. Few studies have examined parenting style, self-esteem, and psychological problems together while considering gender. The current study explored the indirect effect of parenting style though self-esteem on emerging adult psychological problems as moderated by gender among 381 emerging adults. The most notable finding suggested that maternal authoritative parenting was related to higher levels of female self-esteem, which in turn related to lower levels of female psychological problems. Results indicated a relationship between higher levels of self-esteem and lower psychological problems. Findings from the current study contribute to research emphasizing the long-lasting effects of parenting style on emerging adult self-esteem and mental health, particularly among females.
Corporate Information model Catalog for Self Service using (Online Analytical Processing) OLAP methodology

Corporate Information Models(CIM) are Online Analytical Processing (OLAP) Cubes – a data structure that enables simple and rapid analysis of data by the multiple dimensions that define a business challenge. A multidimensional cube for reporting composed of multiple Dimension e.g. Customers, Product Lines, business units and Date. By storing data using OLAP cubes, data is pre-calculated and ready-to-use, eliminating long-running data queries and enabling self-service business intelligence. A portal has been developed to provide and display the CIM detail. The CIM catalog links to over 60 CIMs categorized by the seven main categories called Value streams.
A 3D FIB‐SEM technique for quantitative characterization of oil shale's microstructure: A case study from the Shahejie Formation in Dongying Depression, China

Investigating the pore structure of shale rocks plays an important role in understanding the mechanism of shale oil accumulation and migration; thus, it has a notable influence on the exploration and development of shale oil resources. In the present study, the microstructure of oil shale samples extracted from the Shahejie Formation in the Dongying Depression was investigated through the joint usage of focused ion beam (FIB) and scanning electron microscopy (SEM). Herein, we selected four representative samples. The SEM images of the sample surfaces milled by FIB indicated that pores were found in both the organic and inorganic matter. Organic pores were less developed in the samples because of the low thermal maturity of the organic matter. Continuous 3D digital rock images of shale samples were generated by FIB grinding and SEM in situ imaging. Based on multithreshold segmentation, the shale rocks were separated into different parts including kerogen, inorganic matter, and pores. The pore connectivity and pore size distributions were analyzed via Avizo software and in‐house developed MATLAB scripts. The pore size and corresponding volume distributions suggested that mesoscale pores (2‐50 nm) were abundant in the samples but they contributed limitedly to the total pore volume. Macropores (>50 nm) accounted for a small proportion but they had a greater contribution to the overall pore space volume. The coordination numbers of the subject four samples were mainly 0 and 1, which means that isolated pores accounted for the vast majority of the pores. These observations are critical to conduct reliable petrophysical simulations in the oil shales and understand their intrinsic properties accurately.
Calibration of underwater fisheye camera with multi-frequency heterodyne technique based on light field

In this paper, a novel approach is proposed to calibrate an underwater fisheye camera with the multi-frequency heterodyne technique based on the light field. First, an underwater fisheye camera imaging model based on the light field is established to demonstrate the multiple refractions of light in underwater propagation and the extraordinary imaging characteristics of the fisheye lens, which shows better conciseness and organization. Then, the calibration method applied in the underwater fisheye camera imaging system is proposed to determine the mapping of the light field and the pose of the underwater fisheye camera. The light field mapping of the fisheye lens is obtained with the assistance of the multi-frequency heterodyne technique. Finally, an underwater fisheye camera is developed and the experimental results are obtained to validate the correctness and feasibility of the proposed method. Our underwater imaging system proves capable of achieving higher accuracy in the context of underwater 3D measurement.
Manufacture and characterization of a 3D-printed integrating sphere

Abstract 3D printers are more accessible in both academic and research groups, becoming instruments to facilitate the construction of high-quality scientific equipment for laboratories. In the present study, a 3D printed integrating sphere was validated to acquire diffuse reflectance and transmittance on turbid samples in order to compute optical absorption and reduced scattering through the inverse adding doubling algorithm. The 3D printed integrating sphere was validated in three stages: analysis of the integrating sphere coating reflectance using two possible coating materials (barium sulfate powder and a mixture of barium sulfate and paint), the sphere wall reflectance, and using two accurate optical polyurethane phantoms to measure the absorption and reduced scattering coefficients. The results indicate that the system developed with this methodology shows satisfactory reflectance compared to commercial models and is able to acquire experimental diffuse reflectance and transmittance measurements to compute the optical coefficients of turbid samples due to the use of an inverse adding doubling (IAD) algorithm. However, this system is limited to the region from 500 to 1300 nm due to a decrease in the reflectance of the coating.
Exploiting Comparable Corpora to Enhance Bilingual Lexicon Induction from Monolingual Corpora

: Bilingual lexicons are essential resources in natural language processing (NLP) and information retrieval (IR). Automatic bilingual lexicon acquisition relies on a large number of parallel corpora that can be scarce or even unavailable for several languages. On the other hand, there are other resources that can be used to build bilingual lexicon such as comparable corpora (aligned documents) and monolingual corpora that are easily to get and available in any language, including resource-limited languages. Hence, this paper proposes a two stages framework that can learn bilingual lexicons from monolingual corpora enhanced using comparable corpora without any additional resources. The framework consists of two stages: comparable dictionary building and monolingual mapping. Comparable dictionary building is a process to create coarse dictionary from comparable corpora by utilizing topic modeling approach. The second stage is monolingual mapping by using the result from the previous stage as seed initialization for the bi-directional projection learning. The utilization of comparable corpora can replace the need of bilingual dictionary. The experiment was conducted using three kinds of language pairs: English-®Indonesia, English-®Arabic and Arabic-®Indonesia. The result of the experiment showed that the proposed method can enhance the accuracy from monolingual corpora and outperform other previous methods.
Fire in the Operating Room: Use of Mixed Reality Simulation with Nurse Anesthesia Students

Background: The occurrence of a fire when implementing anesthesia is a high-risk, low-frequency event. The operating room is a high-stakes environment that has no room for error. Mixed reality simulation may be a solution to better prepare healthcare professionals. The purpose of this quantitative, descriptive study was to evaluate the technical and non-technical skills of student registered nurse anesthetists (SRNAs) who participated in a mixed reality simulation of an operating room fire. Methods: Magic Leap OneTM augmented reality headsets were used by 32 student registered nurse anesthetists to simulate an emergent fire during a simulated tracheostomy procedure. Both technical and non-technical skills were evaluated by faculty members utilizing a checklist. Results: The SRNAs’ overall mean technical skill performance was 18.16 ± 1.44 out of a maximum score of 20, and the mean non-technical skill performance was 91.25% out of 100%. Conclusions: This study demonstrated the utility and limitations in applying novel technology in simulation. Participants demonstrated a strong performance of technical and non-technical skills in the management of a simulated operating room fire. Recommendations for future applications include the use of multiple sensory inputs into the scenario design and including all core team members in the immersive mixed reality environment.
Do TMS evoked responses measured from scalp and hand represent the same cortical mechanisms?

Introduction Transcranial magnetic stimulation (TMS) is a powerful tool to investigate local cortical circuits and broader neural networks. Paired-pulse TMS (ppTMS) paradigms are commonly employed to study excitatory/inhibitory neurotransmissions in motor circuits across time by assessing changes in motor-evoked potentials (MEPs) using electromyography (EMG). The combination of TMS with electroencephalography (EEG) has the capacity to extend this work outside the motor system by focusing on TMS-evoked potentials (TEPs) across both space and time as the measurable output of brain stimulation. However, the relationship between these two putative outputs of TMS effects - MEPs and TEPs - remains unclear Aim To investigate whether the same neural populations are responsible for fluctuations in MEPs with ppTMS as the TEP waveform following single pulse TMS (spTMS). Methods Twenty-four healthy participants received intra-hemispheric and interhemispheric (dual-coil) ppTMS, with different inter-pulse intervals, conditioning intensities, and TMS pulse waveforms over the motor cortex, while EMG was recorded from first dorsal interosseous muscles. EEG was also recorded in response to spTMS with the same intensity and location as the conditioning pulses in ppTMS-EMG. Additionally, TMS was applied to the shoulder as a multisensory control condition. The relationship between ppTMS-EMG and spTMS-EEG were evaluated using metrics sensitive to both the shape and amplitude of the signals. Results The fluctuations in cortical excitability following suprathreshold TMS were correlated in shape, but not amplitude, when measured with ppTMS-EMG and TMS-EEG. This relationship was observable only after reversing the polarity of short latency TEPs (<~60 ms). For interhemispheric measures, supressing sensory potentials in TEPs was required to discern the relationship between the two signals. Conclusion The relationship between MEP and TEP measures suggests both signals reflect activity from overlapping neural populations. This finding establishes a fundamental link between TEP peaks and periods of net excitation/inhibition observed with ppTMS-EMG in both the stimulated motor cortex and connected cortical regions.
Decoupled richness of generalist anaerobes and sulphate‐reducing bacteria is driven by pH across land uses in temperate soils

Sulphate‐reducing bacteria (SRB) represent a key biological component of the global sulphur (S) cycle and are common in soils, where they reduce SO42− to H2S during the anaerobic degradation of soil organic matter. The factors that regulate their distribution in soil, however, remain poorly understood. We sought to determine the ecological patterns of SRB richness within a nationwide 16S metabarcoding dataset. Across 436 sites belonging to seven contrasting temperate land uses (e.g., arable, grasslands, woodlands, heathland and bog), SRB richness was relatively low across land uses but greatest in grasslands and lowest in woodlands and peat‐rich soils. There was a shift in dominant SRB taxa from Desulfosporosinus and Desulfobulbus in arable and grassland land uses to Desulfobacca in heathland and bog sites. In contrast, richness of other generalist anaerobic bacterial taxa found in our dataset (e.g., Clostridium, Geobacter and Pelobacter) followed a known trend of declining richness linked to land‐use productivity. Overall, the richness of SRBs and anaerobes had strong positive correlations with pH and sulphate concentration and strong negative relationships with elevation, soil organic matter, total carbon and carbon‐to‐nitrogen ratio. It is likely that these results reflect the driving influence of pH and competition for optimal electron acceptors with generalist anaerobic bacteria on SRB richness.
Effects of Recycled Fiber Fines on Hand Sheet Properties of Different Unbeaten and Beaten Pulps

In this study, 5, 10, and 15 % secondary fines of recycled pulp were added to unbeaten and beaten (28 ºSR) samples of recycled pulp, Turkish Calabrian pine (Pinus brutia Ten.) kraft pulp, and European aspen (Populus tremula L.) kraft pulp. The effects of the addition of fiber fines on hand sheets properties were evaluated. The addition of fiber fines to the unbeaten pulps improved the strength properties of hand sheets. The roughness of hand sheets was also decreased with the addition of fines. When fiber fines were added to the beaten pulps, the type of pulp strongly affected the paper strength properties. The strength properties of beaten pulps of Turkish Calabrian pine and European aspen were decreased with the addition of fiber fines, while the strength properties of beaten pulps of recycled pulp were increased. On the other hand, the air permeance of unbeaten and beaten samples was decreased with the addition of fiber fines. Consequently, the addition of fines to unbeaten and beaten pulps had a more pronounced effect on European aspen kraft pulp and recycled pulp than on Turkish Calabrian pine kraft pulp. Also, the strength of paper made of unbeaten recycled pulp with the addition of 15 % fines was higher than that of fines-free beaten recycled pulp.
Isolation enhancement of 5G multiple‐input multiple‐output microstrip patch antenna using metamaterials and the theory of characteristic modes

This paper presents a compact 5G multiple‐input multiple‐output (MIMO) microstrip antenna with isolation enhancement based on a slotted complementary split‐ring resonator (SCSRR) and the theory of characteristic modes (TCMs). The metamaterial unit consists of three CSRR connected by extra slots. These added slots improve significantly the rejection response in terms of bandwidth and suppression. The dispersion diagram analysis is introduced to show the filtering characteristics of the band‐gap structure before and after adding these additional slots. The TCM is employed to investigate the behavior of this 5G MIMO antenna before and after adding the slotted CSRR. The TCM is also applied to the MIMO antenna system to build up a precise methodology that can foresee whether the isolation can be upgraded further or not. The slotted CSRR is inserted meticulously in specific locations to block the coupling modes and almost does not affect the results of the noncoupling modes to improve the isolation remarkably. With this slotted CSRR, a 27‐dB reduction in the mutual coupling between the two patch antennas is achieved. The whole design has been simulated utilizing the Microwave Studio CST ver. 18 simulator. The antenna being proposed is highly efficient and suitable for 5G wireless communication.
The antifungal activity of essential oils from some plants in Vietnam against the pathogenic fungi Candida albicans and Aspergillus fumigatus

: Vietnam possesses an abundant and highly diverse resource of plants. Therefore, the search and evaluation of bioactive compounds extracted from these plants are a potential research direction to support developing products that improve human health. The purpose of this study is to assess the antifungal activity of some essential oils produced by materials harvested in Vietnam such as King orange peel ( Citrus sinensis ), lemongrass ( Cymbopogon flexuosus ), peppermint ( Mentha arvensis ), and betel leaf ( Piper betle ). The antifungal effect of these essential oils was determined by the Kirby-Bauer disc diffusion technique. In addition, the antifungal properties of the essential oils were also assessed through their effects on the reproduction of C. albicans and the spore germination, mycelium elongation, and sporulation of A. fumigatus . The results demonstrated that all peppermint, lemongrass, and betel leaf essential oils showed antifungal activity against C. albicans and A. fumigatus . Especially, betel leaf essential oil could perform antifungal activity at a low dilution concentration of 10% and could also inhibit the reproduction of C. albicans and the spore germination, mycelium elongation, and sporulation of A. fumigatus . Meanwhile, orange peel essential oil did not exhibit any antifungal properties.
A Comparison of Machine Learning-Based Individual Mobility Classification Models Developed on Sensor Readings from Loosely Attached Smartphones

General mobility estimation is demanded for strategy, policy, systems and services developments and operations in transport, urban development and telecommunications. Here is proposed an individual motion readings collection with preserved privacy through loosely fit smartphones, as a novel sole inertial sensors use in commercial-grade smartphones for a wide population data collection, without the need for the new infrastructure and attaching devices. It is shown that the statistical learning-based models of individual mobility classification per means of transport are capable of overcoming the variance introduced by the proposed data collection method. The success of the proposed methodology in a small-scale experiment for the Individual Mobility Classification Model development, using selected statistical learning methods, is demonstrated.
Achieving Multi-Accent ASR via Unsupervised Acoustic Model Adaptation

Current automatic speech recognition (ASR) systems trained on native speech often perform poorly when applied to non-native or accented speech. In this work, we propose to compute x-vector-like accent embeddings and use them as auxiliary inputs to an acoustic model trained on native data only in order to improve the recognition of multi-accent data comprising native, non-native, and accented speech. In addition, we leverage untranscribed accented training data by means of semi-supervised learning. Our experiments show that acoustic models trained with the proposed accent embeddings outperform those trained with conventional i-vector or x-vector speaker embeddings, and achieve a 15% relative word error rate (WER) reduction on non-native and accented speech w.r. t. acoustic models trained with regular spectral features only. Semi-supervised training using just 1 hour of untranscribed speech per accent yields an additional 15% relative WER reduction w.r. t. models trained on native data only.