Miracle-dz/UniFAR-FTUs huggingface dataset:
A Frequency-Domain Convolutional Neural Network Architecture Based on the Frequency-Domain Randomized Offset Rectified Linear Unit and Frequency-Domain Chunk Max Pooling Method

It is of great importance to construct a convolutional neural network architecture in the frequency domain to explore the theory of deep learning in the frequency domain. However, due to the complexity of the construction mechanism of the forward and backward pipelines needed to train the convolutional neural network in the frequency domain, higher requirements are put forward for the representation strategy of the frequency-domain activation function and pooling method in the forward and backward pipelines. Therefore, to construct a full frequency-domain convolutional neural network architecture, it is necessary to construct a frequency-domain representation strategy with a high classification accuracy and excellent time performance. In this paper, based on a chunk decomposition mechanism and the construction principle of the frequency-domain unsaturated activation function, a frequency-domain convolutional neural network architecture is proposed. Two important representation strategies are introduced into the frequency-domain forward/backward pipeline: a frequency-domain randomized offset rectified linear unit and a frequency-domain chunk max pooling method. The former can alleviate the vanishing and exploding gradient phenomena in the frequency-domain forward/backward pipeline and ensure the convergence of the convolutional neural network architecture in the frequency-domain training stage; the latter can capture the partial location information and characteristic strength of the frequency-domain neurons and improve the classification performance of the convolutional neural network in the frequency domain. This full frequency-domain convolutional neural network architecture improves the training accuracy of the convolutional neural network in the frequency-domain pipeline. The results show that on the basis of ResNet-50 as the backbone framework, an NVIDIA GeForce CUDA(Compute Unified Device Architecture) as the training pipeline, and $4\times 4$ as the activation block size of the third-level output neuron’s characteristic parameter matrix, the convolutional neural network architecture proposed in this paper can lower the top-1 error from 24.90% to 17.95%, the top-5 error from 12.85% to 9.23%. Furthermore, when the batch size is equal to 128 (in the worst-case bandwidth usage scenario), the acceleration ratio of the proposed architecture can still reach 13.0375 by selecting cuDNN as the reference model. Under the same backbone framework, the proposed architecture is tested on the MetData-1 dataset, and the classification accuracy can reach the maximum value; that is, the average difference is merely 0.18. This finding shows that the proposed architecture can improve the accuracy of the deep learning-based frequency-domain convolutional neural network model without reducing the time performance and expand the frequency-domain representation strategy of the frequency-domain activation function and pooling method.
Availability, Accessibility, Acceptability, and Quality of Interpreting Services to Refugee Women in New Zealand

A significant number of people have been displaced from their country of origin and become refugees. Good health is essential for refugees to actively engage and take up opportunities within the society in their host countries. However, negotiating a new and unfamiliar health system hinders refugees’ ability to access and make use of the available health services. Communication difficulties due to language barriers are the most commonly cited challenges faced by refugees in accessing and utilizing health services post-resettlement. In this study, we aimed to examine effectiveness of interpreting services for refugee women in New Zealand. Data were collected through three sources: focus groups with Bhutanese women, focus group with Bhutanese men, and individual interviews with health professionals. The findings of this study reveal inadequacies and constraints in the provision of a socioculturally and linguistically effective interpreting service to Bhutanese women and provide evidence for recommendations to address these inadequacies.
Vein patterning by tissue-specific auxin transport

ABSTRACT Unlike in animals, in plants, vein patterning does not rely on direct cell-cell interaction and cell migration; instead, it depends on the transport of the plant hormone auxin, which in turn depends on the activity of the PIN-FORMED1 (PIN1) auxin transporter. The current hypotheses of vein patterning by auxin transport propose that, in the epidermis of the developing leaf, PIN1-mediated auxin transport converges to peaks of auxin level. From those convergence points of epidermal PIN1 polarity, auxin would be transported in the inner tissues where it would give rise to major veins. Here, we have tested predictions of this hypothesis and have found them unsupported: epidermal PIN1 expression is neither required nor sufficient for auxin transport-dependent vein patterning, whereas inner-tissue PIN1 expression turns out to be both required and sufficient for auxin transport-dependent vein patterning. Our results refute all vein patterning hypotheses based on auxin transport from the epidermis and suggest alternatives for future tests. Highlighted Article: Contrary to expectations, auxin transport in epidermis is neither required nor sufficient for vein patterning; instead, auxin transport in inner tissues is both required and sufficient for vein patterning.
A Feedback Nash Equilibrium for Affine-Quadratic Zero-Sum Stochastic Differential Games With Random Coefficients

We study the affine-quadratic zero-sum stochastic differential game with random coefficients, where the coefficients of the stochastic differential equation (SDE) are random processes and both additive and state multiplicative noise are included in the diffusion term of the corresponding SDE. By applying Itô-Kunita’s formula to the quadratic random field, we develop a direct approach, also known as the completion of squares method, to characterize the explicit (feedback) Nash equilibrium and obtain the optimal game value. The characterized Nash equilibrium depends linearly on the state and the additional linear backward SDE. We also verify the optimality of the Nash equilibrium by characterizing the smooth solution of the stochastic Hamilton-Jacobi-Isaacs equation that is the second-order stochastic partial differential equation obtained from dynamic programming.
Early phase II study of mixed 19‐peptide vaccine monotherapy for refractory triple‐negative breast cancer

We undertook an early phase II study of mixed 19‐peptide cancer vaccine monotherapy for 14 advanced metastatic triple‐negative breast cancer (mTNBC) patients refractory to systemic chemotherapy to develop a new type of cancer vaccine. The treatment protocol consisted of a weekly vaccination for 6 weeks, and there were no severe adverse events related to the vaccination throughout the trial. Increase of peptide‐specific IgG against the vaccinated human leukocyte antigen‐matched peptides, but not against the nonmatched peptides, was positively correlated with overall survival (OS) (P < .01). The median OS was 11.5 or 24.4 months in all 14 patients or the 10 patients who completed the vaccination. The patients with lower C‐reactive protein levels or 3 or fewer systemic chemotherapies were favorable candidates for this treatment. Advancement of this therapy to the next stage of study could be warranted based on the safety and immune boosting determined herein (clinical trial registration number: UMIN000014616).
Nature-based Group Therapy Reflections: A Grounded Theory Study

Nature-based therapies have a long history in mental health care. Beneficial effects have been documented for nature-based therapies in a variety of other health care settings. The aims of this grounded theory study were to understand the processes of maintaining nature-based therapeutic groups and the value of the activities to patients in a psychiatric inpatient setting. Over a nine-month period, semi-structured surveys of patient responses to nature-based activities were administered to patients in a pilot therapy group assessing the feasibility of a nature-based group program. Findings indicated that the group promoted use of the senses, social interaction, and care of self/others. Perceptions of benefits led to a nuanced understanding of the effects of being in contact with nature. Based on our findings we offer a preliminary theoretical model for patient engagement with nature-based programming in inpatient mental health care.
Somatic energy storage and reproductive investment in the grass goby Zosterisessor ophiocephalus

The pattern of somatic energy storage, measured as body lipid proportion, was investigated in the grass goby Zosterisessor ophiocephalus, by comparing the per cent lipids across three reproductive groups—large males (territory holding, caring for eggs, males), small males (sneaker males) and females—and across a seasonal phase including the entire breeding season and a post-reproductive period. Furthermore, the pattern of some indicators of somatic and reproductive investment, such as gonadosomatic index (GSI) and liversomatic index (LSI), was investigated, as well as the relationship between lipid content and fish body size was studied over time in both sexes. Results showed that the amount of somatic lipids depends largely on the different levels of reproductive investment shown by the breeding individuals. Females had the lowest levels of somatic lipids at the beginning of the breeding season when large males reached, by contrast, the highest levels. Large males showed a strong decrease in their reserves as the breeding season proceeded, and their replenishment was significantly slower than that of smaller males, which had relatively high levels already in September. Analysis of the trends of GSI and LSI revealed that the difference between females and males in the primary reproductive investment (gonadic mass) can explain most of the differences in the levels of somatic energy storage. The relationship between body size and lipid content changed over time, being positive and statistically significant at the beginning of the breeding season for each reproductive group, indicating that during these phases all the breeding individuals had accumulated energy in their tissues and that the breeding season reduced their somatic energy storage although with different intensity.
Design of Smart Brain Oxygenation Monitoring System for Estimating Cardiovascular Disease Severity

Clinically, cardiovascular disease (CVD) patients need physicians to suggest different exercise training and rehabilitation procedures to improve their cardiopulmonary function (CPF). In previous studies, several approaches, such as cardiopulmonary exercise testing (CPET), echocardiography and computed tomography angiography (CTA), were proposed to indirectly estimate the rehabilitation effect on CPF. However, the above approached require experienced operators and complex equipment. In this study, a smart and wearable brain oxygenation monitoring system without motion artifact and crosstalk is proposed to estimate the blood circulation state of brain tissue directly during incremental exercise. Moreover, the technique of neural network is also used for classifying different CPF groups from the indexes extracted from the measured hemoglobin parameters. The experimental results show that the defined indexes extracted from the hemoglobin parameters can present the state of CPF, and the proposed smart brain oxygenation monitoring system can also effectively and automatically classify different CPF groups from these indexes via artificial intelligence. The proposed system therefore may assist physicians in the clinical evaluation of the CVD severity and rehabilitation effect on CPF in the future.
Circuit Component Detection in Offline Handdrawn Electrical/Electronic Circuit Diagram

Detection of circuit components from handdrawn circuit image refers to the process of automatic separation of all the circuit components belonging to a circuit. In this work, we have devised an algorithm that accepts a hand-drawn circuit image as input and returns the circuit components marked with bounding box. We have proposed a method where we have used the morphological ‘close’ operator to create a structural dissimilarity between the circuit components and the wires. Then we have used run length smoothing algorithm (RLSA) based technique to remove all the wires. Finally, we have used the spatial coordinates of the circuit components in the wire-removed circuit diagram to localize them in the actual circuit diagram. The proposed methodology is evaluated over a database consisting of 60 circuit images collected from the copies of engineering students. Considering the complexity of the research topic, the result thus obtained is encouraging.
Probiotics-Containing Yogurt Ingestion and H. pylori Eradication Can Restore Fecal Faecalibacterium prausnitzii Dysbiosis in H. pylori-Infected Children

This study investigated the compositional differences in fecal microbiota between children with and without H. pylori infection and tested whether probiotics-containing yogurt and bacterial eradication improve H. pylori-related dysbiosis. Ten H. pylori-infected children and 10 controls ingested probiotics-containing yogurt for 4 weeks. Ten-day triple therapy plus yogurt was given to the infected children on the 4th week. Fecal samples were collected at enrollment, after yogurt ingestion, and 4 weeks after successful H. pylori eradication for cytokines and microbiota analysis using ELISA and metagenomic sequencing of the V4 region of the 16S rRNA gene, respectively. The results showed H. pylori-infected children had significantly higher levels of fecal TGF-β1 than those who were not infected. Eight of 295 significantly altered OTUs in the H. pylori-infected children were identified. Among them, the abundance of F. prausnitzii was significantly lower in the H. pylori-infected children, and then increased after yogurt ingestion and successful bacterial eradication. We further confirmed probiotics promoted F. prausnitzii growth in vitro and in ex vivo using real-time PCR. Moreover, F. prausnitzii supernatant significantly ameliorated lipopolysaccharide-induced IL-8 in HT-29 cells. In conclusions, Probiotics-containing yogurt ingestion and H. pylori eradication can restore the decrease of fecal F. prausnitzii in H. pylori-infected children.
Diet and diel feeding activity of juvenile pompano (Trachinotus ovatus) (Teleostei: Carangidae) from the southern Adriatic, Croatia

Food and feeding activity of juvenile pompano Trachinotus ovatus (25–97 mm) collected in the summer–autumn in 2003 in coastal shallow-water bays in the south-eastern Adriatic were examined. Juvenile pompano were exclusively daytime feeders and fed in the entire water column, from surface to bottom taking not only plankton, but benthic and terrestrial species as well. Of 18 prey taxa identified, crustaceans—particularly copepods—were the major group, followed by benthic foraminiferans and insects. Feeding on benthic species is reported for the first time in this study.
Efficient Energy Management of Multi-Microgrids Systems Based on Distributed Cooperative Control in Autonomous Mode

This paper proposes a real-time optimization based on the cooperative distributed MPC framework to achieve economic and energy dispatch for a neighboring multi-microgrids system in off-grid operation. The optimal control strategy can efficiently manage the microgrids plant using the exchanged information among the microgrids. The idea of coordination is adopted to reduce the gap between the power supply and the user demand using the surplus energy from the nearby microgrids, allowing efficient exploitation of the storage system and renewable energy resources, along with reducing the dependency on the controllable distributed generators. The cooperative control (DMPC-EMS) provides a proper tracking for the customer demand with an optimal and economic scheduling A case study is employed to verify the effectiveness of the proposed approach, the results show the reduction of the operating cost while satisfying the consumer comfort and demand compared to the case where the microgrids operated independently with non-cooperative robust MPC optimization . The simulation results illustrate the efficiency of the proposed method.
Synthesis and characterization of cellulose/hydroxyapatite based dental restorative composites

Abstract The aim of this study was an in-situ synthesis of hydroxyapatite (HA) on cellulose fibers to be used as a new reinforcing agent for dental restorations. The microwave irradiation method was used for synthesis and the materials were characterized with analytical techniques. The prepared dental resin composites were mechanically tested by a universal testing machine and electrodynamic fatigue testing system. FTIR, XRD, SEM/EDS analysis confirmed the successful synthesis of HA on cellulose fibers. The Alamar blue biocompatibility assay showed more than 90% cell viability for the prepared cellulose/HA. The mechanical properties of resin composites improved with cellulose content from 30 wt. % to 50 wt. % in the polymer matrix. Substantially, increasing the cellulose/HA content from 40% to 50% improved the mechanical properties. The results suggested that HA could be successfully synthesized on cellulose fibers using microwave irradiation and contributed to improving the mechanical properties of dental resin composites.
Iterative Subtractive Binning of Freshwater Chronoseries Metagenomes Identifies over 400 Novel Species and their Ecologic Preferences.

Recent advances in sequencing technology and bioinformatic pipelines have allowed unprecedented access to the genomes of yet-uncultivated microorganisms from diverse environments. However, the catalogue of freshwater genomes remains limited, and most genome recovery attempts in freshwater ecosystems have only targeted specific taxa. Here, we present a genome recovery pipeline incorporating iterative subtractive binning, and apply it to a time series of 100 metagenomic datasets from seven connected lakes and estuaries along the Chattahoochee River (Southeastern USA). Our set of Metagenome-Assembled Genomes (MAGs) represents >400 yet-unnamed genomospecies, substantially increasing the number of high-quality MAGs from freshwater lakes. We propose names for two novel species: 'Candidatus Elulimicrobium humile' ('Ca. Elulimicrobiota', 'Patescibacteria') and 'Candidatus Aquidulcis frankliniae' ('Chloroflexi'). Collectively, our MAGs represented about half of the total microbial community at any sampling point. To evaluate the prevalence of these genomospecies in the chronoseries, we introduce methodologies to estimate relative abundance and habitat preference that control for uneven genome quality and sample representation. We demonstrate high degrees of habitat-specialization and endemicity for most genomospecies in the Chattahoochee lakes. Wider ecological ranges characterized smaller genomes with higher coding densities, indicating an overall advantage of smaller, more compact genomes for cosmopolitan distributions. This article is protected by copyright. All rights reserved.
The role of Inositols in PCOS – Opinion Paper

1Department of Woman and Child Health Policlinico A. Gemelli Foundation IRCCS, Catholic University of Rome, Italy. 2Department of Biomedical and Biotechnological Sciences, Pharmacology Section, University of Catania 3Department of Gynecology and Obstetrics; University “Vita e Salute”, San Raffaele Hospital, Milan 4Department of Obstetrics and Gynecology, University of Pisa 5Department of Obstetrics and Gynecology, “Università della Magna Graecia”, Catanzaro, Italy
Identification and molecular analysis of mercury resistant bacteria in Kor River, Iran

Mercury (Hg) is one of the most important toxic pollutants widespread in the environment. It is being extensively used in industrial applications (chlor-alkali electrolysis, fungicides, disinfectants, dental products, etc), resulting in local hot spots of pollution and serious effects on biota and humans. The aim of this study was to identify mercury resistant bacteria and extract their plasmids and DNA. In this study, mercury-resistant bacteria were isolated and characterized from mercury-polluted sediments in Kor River in Iran. The samples were cultured in different media cultures, identified using biochemical tests, and due to the relationship between antibiotic and mercury resistance, they were isolated based on these two factors. The plasmids and DNA were extracted from the most resistant bacteria to both antibiotic and mercury and the sizes were determined using agarose gel electrophoresis. A 12.3 Kb plasmid from Serattia sp. and Escherichia coli and using Sau3A1 enzyme, some DNA fragments (4, 6, 8 and 10 Kb) from Pseudomonas sp. , Serattia sp. and Escherichia coli were also extracted. Key words: Mercury, resistant, bacteria, DNA, plasmid extraction, restriction endonuclease.
Influence of GaN layer to AlGaN layer width Ratio on Analog Performance of an Underlapped DG AlGaN/GaN based MOS-HEMT

This paper aims at exploring the changes in analog performance of a symmetric Underlapped Double-Gate hetero- junction based AlGaN/GaN MOS-HEMT device, with Hafnium oxide as the high-k dielectric Gate material, on varying the GaN layer to AlGaN layer width ratio. The variations have been studied for different ratios, where the ratios have been varied by individually varying one of the GaN and AlGaN layer widths at a time, while keeping the other constant. The analog performance variations have been studied on Drain current (Id), Transconductance (gm), and Transconductance Generation Factor (gm / Id ). Studies show that the GaN layer to AlGaN layer width ratio greatly determines the performance of a given device, manifested in significant variations in threshold voltage of device, on-state currents and efficient methods of performance enhancement.
A new type of granular cell in the islets of Langerhans of man

During the past thirty-five years the knowledge of the finer details of the structure of the islets of Langerhans has been increasing steadily. Laguesse ('95, '06) found that the islet cells were crowded with fine granules which could be seen in the living cells and which became very prominent when stained with safranin or gentian violet. Through the studies of Diamare ( '99)' Tschassownikow ( 'OO}, Schulze ( 'OO), and Dewitt ('06)' it was found that two types of granular cells are present in the islets. Lane ( '07) showed that the granules of these two types of cells have markedly different solubilities. As a result of these investigations, and especially those of Laguesse and Lane, it became quite clear that the granules in the islet cells were quite different from the zymogen granules in the pancreatic acinar cells. The most extensive studies on the cells of the islets of the mammalian pancreas are by Bensley ('11, '15). He found that the granules in the islet cells could be stained supravitally by Janus green or by neutral red and that the granules disintegrated when frozen. He was unable to distinguish two types of granular cells in his supravitally stained preparations. Using a chrome-sublimate fixation, Bensley was able to stain the two types of cells (types A and B of Lane) differentially in the same preparation and to discriminate another type of cell (C) which WSLS non-granular. With his