Miracle-dz/UniFAR-FTUs huggingface dataset:
Tripleurospermum eskilensis (Asteraceae): a new halophytic species from CentralAnatolia, Turkey

: In the present study, a new species of the genus, Tripleurospermum eskilensis (Asteraceae), is described from Central Anatolia, Turkey. The new species has been collected from Eskil region in a restricted area (Aksaray Province). It grows in salty steppe, and is closely related to T. decipiens in terms of morphological characteristics. It has also been morphologically compared with discoid and disciform capitulated species in Turkey. This study includes its detailed description, diagnostic characters, original photographs, geographical distribution, habitat and ecology, conservation status, and identification key. The comparison of Tripleurospermum eskilensis with closely related species was conducted in terms of morphological characteristics, pollen, achene morphology and anatomy, stomatal length, and molecular phylogenetic analysis.
Cross-Modal Feature Representation Learning and Label Graph Mining in a Residual Multi-Attentional CNN-LSTM Network for Multi-Label Aerial Scene Classification

The results of aerial scene classification can provide valuable information for urban planning and land monitoring. In this specific field, there are always a number of object-level semantic classes in big remote-sensing pictures. Complex label-space makes it hard to detect all the targets and perceive corresponding semantics in the typical scene, thereby weakening the sensing ability. Even worse, the preparation of a labeled dataset for the training of deep networks is more difficult due to multiple labels. In order to mine object-level visual features and make good use of label dependency, we propose a novel framework in this article, namely a Cross-Modal Representation Learning and Label Graph Mining-based Residual Multi-Attentional CNN-LSTM framework (CM-GM framework). In this framework, a residual multi-attentional convolutional neural network is developed to extract object-level image features. Moreover, semantic labels are embedded by language model and then form a label graph which can be further mapped by advanced graph convolutional networks (GCN). With these cross-modal feature representations (image, graph and text), object-level visual features will be enhanced and aligned to GCN-based label embeddings. After that, aligned visual signals are fed into a bi-LSTM subnetwork according to the built label graph. The CM-GM framework is able to map both visual features and graph-based label representations into a correlated space appropriately, using label dependency efficiently, thus improving the LSTM predictor’s ability. Experimental results show that the proposed CM-GM framework is able to achieve higher accuracy on many multi-label benchmark datasets in remote sensing field.
Social Disorganization, Community Engagement, and Public High School Performance

This study examines whether community-level social disorganization and community engagement initiatives are associated with public high school performance. Analyzing data from the National Center for Education Statistics (NCES) School Attendance Boundary Survey (SABS), a latent variable measuring community-level social disorganization is examined within a structural equation model for 302 traditional public high schools in Florida. The study finds a statistically significant and large negative association between community-level social disorganization and a latent variable representing Florida Department of Education performance metrics. Correspondingly, the recognition of receiving the Florida Five Star School award for satisfying recommended community engagement criteria is positively associated with high school performance with social disorganization factors simultaneously considered. This research hopes to further provide an emphasis for recognizing and engaging community within the context of addressing disparities in public education performance.
Formulation and Evaluation of Verdant Tablets Containing Saponin-Coalesced Silver Nanoparticles Got from Fenugreek Seed Extract

: Presently, nanoparticles are in demand due to several applications. Commercially used metallic nanoparticles are usually comprised of synthetic chemicals. These chemicals are noxious and combustible. Current research had the objective to explore the advantages of nanoparticles using herbal material; hence, we developed silver nanoparticles of aqueous extract of Trigonellafoenum graecum (Fenugreek) seeds and formulated them into tablets. Fenugreek seeds contain steroidal sapogenins and are responsible for the reduction of blood cholesterol levels, control diabetes, enhance breast milk production, digestion aid, and helps in weight loss hence prepared formulation can be recommended in all the above cases. The pre-compression parameters evaluated for formulations are bulk density, tapped density, Carr’s index, Hausner’s ratio, and angle of repose, and the results are 0.16 gm/cc, 0.86 gm/cc, 14.16, ratio 1.13 and 32 ◦ , respectively; whereas post-compression parameters are weight variation, friability, hardness, thickness, and disintegration, and the results are 0.504 gm, 0.2%, 3.21 gm/cm 2 , 2.55 mm, and 7 min, respectively.
Sensitivity of Tsunami Data to the Up-Dip Extent of the July 2021 Mw 8.2 Alaska Earthquake

A large tsunamigenic earthquake of magnitude Mw 8.2 occurred on the Alaska-Aleutian subduction zone in July 2021. To reveal the characteristics of the event, we first applied spectral and wavelet analyses to the induced tsunami recorded both at the local and Pacific-wide sea level observation networks. Because the earthquake was relatively deep (∼30 km), the resultant maximum tsunami amplitudes were only ∼5 and ∼50 cm in the open ocean and coastal area respectively. However, owing to the unique geological feature of the region, the tsunami had dominant periods of 57–73 min, which are longer than that typically generated by similar-size megathrust earthquakes. Furthermore, we compared multiple source models inferred from various data sets and evaluated their performances in reconstructing the observed tsunami waveforms. The comparison results suggest that the up-dip limit of the rupture area must be restricted at depth of ∼20 km to accurately reproduce the observed tsunami waveforms. Shallower slips beyond the prescribed limit led to an overestimation of the tsunami amplitude. This implies that the earthquake was unlikely to rupture the plate interface on the near trench section.
Optimised Sensor Configuration for a Maglev Suspension

This paper discusses a systematic approach for selecting the minimum number of sensors for an Electromagnetic levitation system that satisfies both deterministic and stochastic performance objectives. The controller tuning is based upon the utilisation of a recently developed genetic algorithm, namely NSGAII. Two controller structures are discussed, an inner loop classical solution for illustrating the efficacy of the NSGAII tuning and a Linear quadratic gaussian structure particularly on sensor optimization.
High step-up high step-down bidirectional DC/DC converter

In this study, a new high step-up high step-down bidirectional dc–dc converter is proposed. In the proposed converter, the voltage conversion ratio is increased by using two coupled inductors and switched capacitor circuit in both boost and buck operations. The proposed bidirectional converter in comparison with other presented high-voltage gain boost converters with two coupled inductors in the literature has the highest voltage conversion ratio. In this study, the proposed topology is analysed in all operating modes and the current and voltage stresses of all switches, voltage gain and maximum and minimum current through the inductors are calculated for both boost and buck operations. Finally, the accuracy of the obtained analytical results and correct operation of the proposed converter are verified through PSCAD/EMTDC simulation and experimental results.
DIFFERENT GENDER DIVISION PATTERNS FOR SWINE HOUSING IN WEAN-TO-FINISH SYSTEM

This study aimed at identifying the best gender division pattern for swine at nursery stage, through the evaluation of behavioral and environmental parameters. Three treatments were established to achieve our objective: single-sex housing of 26 surgically castrated male pigs; mixed-sex housing of 13 castrated males and 13 females; and single-sex housing of 26 females. Environmental and behavioral data have been recorded. It was used an ethogram to make an inventory of behaviors and that was used in multivariate analysis. Bite addiction differed statistically among treatments, and the lowest occurrence was in mixed-sex housing. Results of the multivariate analysis suggested that regardless of the treatment chosen, relative humidity is positively associated with the production of gases and dry-bulb temperature with airspeed. Mixed-sex housing had multivariate relations suggesting less aggressive behaviors over food resources, being an example of social interaction that improves swine welfare.
Molecular Phylogeography and Intraspecific Divergences in Siberian Wildrye (Elymus sibiricus L.) Wild Populations in China, Inferred From Chloroplast DNA Sequence and cpSSR Markers

A detailed understanding of the distribution and degree of genetic variation within a species is important for determining their evolutionary potential, which in return facilitates the development of efficient conservation strategies aimed at preserving adaptive genetic variation. As an important perennial, cool-season grass in temperate Eurasia, increasing attention has been paid to Siberian wildrye (Elymus sibiricus) due to its excellent ecological utilization value and forage production potential in China, particularly in the Qinghai–Tibet Plateau (QTP) regions. In this study, we applied two chloroplast (cp) genes (matK and rbcL), three cp spacer regions (trnY-GUA∼trnD-GUC, atpH∼atpF, and rps4∼trnT-UGU), and six cpSSR markers to the genetic and phylogenetic analysis of 137 wild E. sibiricus accessions from 23 natural populations that represent the main distribution regions in China. The results show the highest genetic diversity (h = 0.913) and haplotype richness (10 haplotypes) for the QTP population, which indicates QTP as the probable diversity center and geographic origin of E. sibiricus in China. Population divergence was high, indicating a significant phylogeographic structure together with a significantly higher Nst value (Nst > Gst, P < 0.05) at the species level, QTP+XJ (combined populations from QTP and Xinjiang), QTP+NC (combined populations from QTP and North China), and XJ+NC (combined populations from Xinjiang and North China) group levels, respectively. An expansion was revealed in the distributional range of E. sibiricus in China from paleo times up to the recent past, while a dramatic range of contraction was predicted for the near future. The predicted main limiting factor for the further spread of E. sibiricus is an increasing global mean temperature. We recommend that the combination of Es-cpDNA1 and Es-cpDNA3+4+5 can be used as effective markers for phylogenetic analysis and phylogeographical history analysis of E. sibiricus. These findings shed new light on the historical population dynamics of cold-season herbs in the QTP region and the north of China and are of great significance for the future establishment of protection and collection strategies for wild E. sibiricus germplasm.
Proposal of Wide‐Area Sensing in Wireless Charging System via Magnetic Resonance Coupling

Recently, wireless charging via magnetic resonance coupling has gained attention because it has the potential of efficient midrange wireless charging. Here, functions such as sensing at the transmitter and wireless communication from the target are the essential elements to realize a standard wireless charging system. Currently, the sensing and communication protocol of the hardware (i.e., the high‐frequency power source and antenna configuration) compatible with wireless charging is gaining attention in terms of its cost and space reduction due to the use of common components for multiple functions. However, this protocol has the problem of narrow effective areas due to the fact that the sensing range depends on the fixed Q factor of the antenna. To overcome this problem, the concept of wide‐area sensing based on a Q controllable antenna is proposed, and the effectiveness is verified through a theoretical analysis and an experiment. As a result, it is clarified that the effective area can be expanded up to a ratio of the distance g between the transmitting and receiving antennas to the inner diameter d of the antenna g/d = 5.0.
Identifying and Overcoming the Barriers Towards Open Data of Public Undertakings*

2022. ABSTRACT The creation of open data has seen a series of waves in which every growing resources of data are becoming accessible to a growing number of users from a diversifying number of public entities. The European Commission anticipates this movement by setting a new scope to the re-use of Public Sector Information Directive. Instead of exclusively focussing on Public Sector Information), the new scope of its successor, the Open Data Directive, includes data from public undertakings as well. In order for public undertakings to comply with this future legislation, research into the current openness of public undertakings and the barriers to open data is key. This research presents three different levels of openness of data: (1) data is only open for the own organisation, (2) data is open for the internal organisation and trusted parties can use the data, and (3) open data for all. In this case the public undertakings are Port of Rotterdam and Schiphol Airport. The results showed that the data policy of Port of Rotterdam matches openness level 1. The data policy of Schiphol Airport matches level two. The open data policy of Dutch grid operator, Liander, corresponds with the third level as this organisation provides open data since 2014 for everyone. It can be stated that neither Port of Rotterdam nor Schiphol Airport is ready to comply with the future rules when the Open Data Directive requirements become mandatory. Barriers that are associated with achieving a higher level of open data are related to institutional, financial, legal, and quality and technical aspects. Overcoming these barriers requires, among other things, highly motivated staff to provide open
Self-reported pain and trunk posture during pruning activity among vineyard workers at the Château Larose-Trintaudon

This paper presents the first stage of our project aiming at preventing workrelated musculoskeletal disorders and improving work conditions for the Château Larose- Trintaudon (Saint-Laurent Medoc, France) vineyard workers: an ergonomic assessment of vine pruning activity was conducted. Self-reported musculoskeletal pain increased throughout the working day in the lower back region. Furthermore, video analysis during real working conditions revealed that pruning activity exposed vineyard workers to a high risk of developing WMSD. The vineyard workers frequently adopted trunk-thigh postures considered ‘extreme’. The present ergonomic evaluation strongly suggests that back pain is an important health issue among the vineyard worker population.
Applied microwave power estimation of black carrot powders using spectroscopy combined with chemometrics

Abstract The level of applied microwave power is a critical parameter for the quality of the dried product in microwave drying. It is impossible to assess the applied power of the dried product with the naked eye. This work aimed to predict the applied power of black carrot powders using a chromameter and near-infrared reflectance spectroscopy with partial least squares regression. A good correlation was found between applied power, color parameters, and near-infrared reflectance. The near-infrared spectroscopy predicted the applied power with better performance (R 2 = 0.99) and can be utilized to appraise the applied power of black carrot powders with acceptable accuracy.
Does Training Motivation Influence Resilience Training Outcome on Chronic Stress? Results from an Interventional Study

Resilience is understood as an acquired skill which aids in coping with acute and chronic stress. Accordingly, the present study aimed to determine the effect of resilience training on mental health problems during chronic stress. To this end, we conducted a quasi-experimental study with 127 male cadets (mean age: 21 years) of the Swiss Armed Forces officers’ school. Whereas the intervention group (IG) received resilience training in addition to the standard officer’s education program, the control group (CG) completed the officers’ school as usual. Data assessment included pre- and post- measurement of chronic stress, symptoms of depression, and vital exhaustion in both groups. Motivation for training was collected before the first training session. Those who received the resilience training reported no change in chronic stress, whereas participants in the CG showed a significant increase in chronic stress over time (ηp2 = 0.025). Furthermore, significant differences between IG and CG were only found for symptoms of depression: Participants in the IG reported significantly decreased symptoms of depression, while this was not the case for participants in the CG. Within the IG, participants’ training motivation strongly influenced the effectiveness of the resilience training. More specifically, motivated individuals were more likely to benefit from the resilience training than unmotivated ones. Outcome data suggest that resilience training appeared to favorably affect chronic stress and related mental health symptoms; however, the motivation for the training seemed to be an essential prerequisite.
Mixed Reality Based User Acceptance Measurement on Primary School Age Children (Case Study: Introduction to Indonesian Native Fauna)

One aspect of learning media technology sustainability is the level of user acceptance of the learning media itself. It is related to the user loyalty or willingness to continuously use the learning media application. For primary school age children, analyzing the level of acceptance of learning media using the unified theory of acceptance and use of technology (UTAUT) is challenging. In its application, the formulation of the questions is carried out in a simple way therefore children can understand each meaning of the questions. In this study, the object of technology used is a mixed reality-based learning application, which contains introduction to Indonesia Native fauna material. To ensure that the inter-view questions meet the children’s psychological, the reliability and validity measure were taken as the initial step. Secondly, hypothesis testing was carried out to analyze the children behavioral intentions based on the variables contained in UTAUT. The results of this study indicate that students do not find difficulties in using this mixed reality-based learning media application, both on the technical and psychological (techno-stress) sides.
Therapeutic pattern and progress of neoadjuvant treatment for triple-negative breast cancer

Triple-negative breast cancer (TNBC) is a heterogeneous disease, accounting for about 15.0-20.0% of all breast cancer cases. TNBC is associated with early recurrence and metastasis, strong invasiveness and a poor prognosis. Chemotherapy is currently the mainstay of treatment for TNBC, and achievement of a pathological complete response is closely associated with a long-term good prognosis. Improving the long-term prognosis in patients with TNBC is a challenge in breast cancer treatment, and more clinical evidence is needed to guide the choice of treatment strategies. The current study reviews the conventional treatment modality for TNBC and the selection of neoadjuvant chemotherapy (NACT) regimens available. The research progress on optimizing NACT regimens is also reviewed, and the uniqueness of the treatment of this breast cancer subtype is emphasized, in order to provide reference for the clinical practice and research with regard to TNBC treatment.
Modern practices in electrophoretic deposition to manufacture energy storage electrodes

The applications of electrophoretic deposition (EPD) to the development of electrochemical energy storage (EES) devices such as batteries and supercapacitors are reviewed. A discussion on the selection of parameters for optimizing EPD electrode performance, such as light‐directed EPD, co‐deposition of active materials such as metal oxides and materials manufactured with high porosity and fibrous properties is highlighted. Additionally, means for overcoming obstacles in the improvement of the mechanical properties, conductivity and surface area of EES materials are discussed. The exceptional benefits of EPD such as low cost, small processing time, simple apparatus requirements, homogeneous coatings, binder‐free deposits and selective modification associated with thickness and mass loadings leading to effective EES electrode materials are highlighted. Finally, EPD processes have evolved as modern manufacturing tools to produce technologically improved solid electrolytes and separators for lithium‐ion and/or sodium‐ion batteries, and further research and development programmes are encouraged towards industrialisation.
The effect of medium-term recovery status after COVID-19 illness on cardiopulmonary exercise capacity in a physically active adult population

BACKGROUND A failure to fully recover following coronavirus disease 2019 (COVID-19) may have a profound impact on high functioning populations ranging from front-line emergency services to professional or amateur/recreational athletes. AIM To describe the medium-term cardiopulmonary exercise profiles of individuals with 'persistent symptoms' and individuals who feel 'recovered' after hospitalization or mild-moderate community infection following COVID-19 to an age, sex and job-role matched control group. METHODS 113 participants underwent cardiopulmonary functional tests at a mean 159±7 days (~5 months) following acute illness; 27 hospitalized with persistent symptoms (hospitalized-symptomatic), 8 hospitalized and now recovered (hospitalized-recovered); 34 community managed with persistent symptoms (community-symptomatic); 18 community managed and now recovered (community-recovered), and 26 controls. RESULTS Hospitalized groups had the least favorable body composition (body mass, body mass index and waist circumference) compared to controls. Hospitalized-symptomatic and community-symptomatic individuals had a lower oxygen uptake (V̇O2) at peak exercise (hospitalized-symptomatic, 29.9±5.0ml/kg/min; community-symptomatic, 34.4±7.2ml/kg/min; vs. control 43.9±3.1ml/kg/min, both p<0.001). Hospitalized-symptomatic individuals had a steeper V̇E/V̇CO2 slope (lower ventilatory efficiency) (30.5±5.3 vs. 25.5±2.6, p=0.003) vs. controls. Hospitalized-recovered had a significantly lower oxygen uptake at peak (32.6±6.6ml/kg/min vs. 43.9 ±13.1ml/kg/min, p=0.015) compared to controls. No significant differences were reported between community-recovered individuals and controls in any cardiopulmonary parameter. CONCLUSION Medium term findings suggest community-recovered individuals did not differ in cardiopulmonary fitness from physically active healthy controls. This suggests their readiness to return to higher levels of physical activity. However, the hospitalized-recovered group and both groups with persistent symptoms had enduring functional limitations, warranting further monitoring, rehabilitation and recovery.