Miracle-dz/UniFAR-FTUs huggingface dataset:
Conjugate Observations of the Evolution of Polar Cap Arcs in Both Hemispheres

We report results from the analysis of a case of conjugate polar cap arcs (PCAs) observed on 5 February 2006 in the Northern Hemisphere by the ground‐based Yellow River Station all‐sky imager (Svalbard) and in both hemispheres by the space‐based DMSP/SSUSI and TIMED/GUVI instruments. The PCA's motion in dawn‐dusk direction shows a clear dependence on the interplanetary magnetic field (IMF) By component and presents a clear asymmetry between Southern and Northern Hemispheres, that is, formed on the duskside and moving from dusk to dawn in the Northern Hemisphere and vice versa in the other hemisphere. The already existing PCAs' motion is influenced by the changes in the IMF By with a time delay of ~70 min. We also observed strong flow shears/reversals around the PCAs in both hemispheres. The precipitating particles observed in the ionosphere associated with PCAs showed properties of boundary layer plasma. Based on these observations, we might reasonably expect that the topological changes in the magnetotail can produce a strip of closed field lines and local processes would set up conditions for the formation and evolution of PCAs.
INNOVATIVE WORK BEHAVIOR ANALYSIS OF MSME EMPLOYEES: THE ROLE OF CREATIVE SELF-EFFICACY, ORGANIZATIONAL CULTURE AND PSYCHOLOGICAL EMPOWERMENT AS PREDICTORS

Technological advances and disruptions in various fields of the economy have resulted in the existence of innovative work behaviors that are urgently needed for business actors. For business actors, understanding employee behavior is very important, with the hope that business actors can predict and create productive employee performance. Related to innovative behavior for employees, it is very crucial for business actors to understand and know the characteristics of each employee at work. The research's main objective is to analyze the effect of creative self-efficacy, organizational culture, and psychological empowerment on innovative work behavior. The sample in this study is 160 employees who work in SMEs which are determined by the convenience sampling approach. Data analysis used the SPSS application by displaying the results of data processing through research instrument tests with validity and reliability tests, multiple regression analysis, coefficient of determination and hypothesis testing. Based on the results of data analysis concluded that creative self-efficacy, organizational culture, and psychological empowerment have a positive and significant effect on innovative work behavior. The research implications inform that the behavior of employees working in the MSME sector can be more innovative, it requires high creative self-efficacy and business actors can provide motivation that encourages them to be enthusiastic at work. In addition, psychological empowerment also needs to be increased by providing psychological support for employees.
New Insights on Antennal Sensilla of Anastrepha ludens (Diptera: Tephritidae) Using Advanced Microscopy Techniques

Simple Summary In insects, including tephritid fruit flies, some of which are notorious pests of commercially grown fruit, the antenna harbors the sensilla responsible for the perception of odors (chemicals carried by air), temperature, humidity, and movement. As one of the methods used to monitor and control these agricultural pests is using traps baited with attractive odors, or toxic bait sprays, both of which an adult fly detects through the antenna, the study of this organ is crucial in understanding the behavior of the insect and applying this information in its environmentally friendly control/management. In this study, we detected up to 16 different subtypes of sensilla and various other hitherto unknown structures with the help of various types of microscopes in the antenna of the Mexican Fruit Fly, Anastrepha ludens, a pest of citrus and mango. We describe these sensilla/structures and suggest possible functions. As other researchers have previously worked on this topic, we made a special effort to uniformize the criteria used to classify these key structures, update the terminology, and better describe each sensilla with the help of detailed photographs. Abstract Using light, transmission, scanning electron, and confocal microscopy, we carried out a morphological study of antennal sensilla and their ultrastructures of the Mexican Fruit Fly Anastrepha ludens (Loew), an economically important species that is a pest of mangos and citrus in Mexico and Central America. Our goal was to update the known information on the various sensilla in the antennae of A. ludens, involved in the perception of odors, temperature, humidity, and movement. Based on their external shape, size, cuticle-thickness, and presence of pores, we identified six types of sensilla with 16 subtypes (one chaetica in the pedicel, four clavate, two trichoid, four basiconic, one styloconic, and one campaniform-like in the flagellum, and three additional ones in the two chambers of the sensory pit (pit-basiconic I and II, and pit-styloconic)), some of them described for the first time in A. ludens. We also report, for the first time, two types of pores in the sensilla (hourglass and wedge shapes) that helped classify the sensilla. Additionally, we report a campaniform-like sensillum only observed by transmission electronic microscopy on the flagellum, styloconic and basiconic variants inside the sensory pit, and an “hourglass-shaped” pore in six sensilla types. We discuss and suggest the possible function of each sensillum according to their characteristics and unify previously used criteria in the only previous study on the topic.
Comparative analysis of proteomes and transcriptomes revealed the molecular mechanism of development and nutrition of Pleurotus giganteus at different fruiting body development stages

Pleurotus giganteus is a commercially cultivated high-temperature mushroom. Investigating the molecular mechanism of fruiting body development will help us to better understand the regulation of substrates and energy in this process. However, little information has been reported on the development and nutrients of the P. giganteus fruiting body. In the present study, P. giganteus is cultivated in a climate chamber, and comparative transcriptome, proteome, and nutritional analysis of P. giganteus fruiting bodies were performed. Our results revealed that Cytochrome P450 monooxygenases and hydrophobin proteins play important roles during the differentiation in the elongation stage. Later, carbon metabolism dominate the fruiting body metabolism and genes related to the carbohydrate metabolic process, glycolytic process, and gluconeogenesis were up-regulated in the mature fruiting bodies. The up-regulation of carbohydrate substrates utilization CAZymes genes and inconsistent protein expression in pileus indicated a reverse transportation of mRNA from the fruiting body to vegetative mycelia. In addition, protein concentration in the pileus is higher than that in the stem, while the stem is the major nitrogen metabolic and amino acid synthetic location. The integrated transcriptomic, proteomic, and nutritional analysis indicated a two-way transportation of substrates and mRNAs in P. giganteus. Stem synthesizes amino acids and transported them to pileus with reducing sugars, while pileus induces the expression of substrate degradation mRNA according to the needs of growth and development and transports them in the other direction.
A strain stiffening theory for transient polymer networks under asymptotically nonlinear oscillatory shear

We construct a microstructure-based constitutive model that successfully predicts experimental rheology signatures that no other model has previously described. The experimental observations are the low-dimensional descriptions of asymptotically nonlinear oscillatory shear [Ewoldt and Bharadwaj, Rheol. Acta 52, 201–209 (2013)], also known as medium-amplitude oscillatory shear, characterized by four frequency-dependent material measures: [e1](ω), [e3](ω), [v1](ω) and [v3](ω). These slightly nonlinear rheological measurements are the systematic step beyond linear viscoelastic characterization. The material is a transiently crosslinked polymeric hydrogel of aqueous polyvinyl alcohol cross-linked by sodium tetraborate (borax) [Bharadwaj and Ewoldt, J. Rheol. 59, 557–592 (2015)], which shows nonlinear elastic stiffening inferred from [e1](ω) > 0. Here, we hypothesize that the appropriate physical model is a transient network of strain-stiffening elastic elements. We rationalize that all nonlinearities are driv.
Hyperspectral Imaging Applied to WEEE Plastic Recycling: A Methodological Approach

In this study, the possibility of applying the hyperspectral imaging (HSI) technique in the Short-Wave InfraRed (SWIR) spectral range to characterize polymeric parts coming from Waste from Electric and Electronic Equipment (WEEE) is explored. Different case studies are presented referring to the identification of (i) plastic flakes inside a mixed waste stream coming from a recycling plant of monitors and flat screens, (ii) different polymers inside a mixed plastic waste stream coming from End-Of-Life (EOL) electronic device housings and trims, (iii) contaminants (i.e., metals) in a mix of shredded plastic particles coming from a recycling line of electrical cables, and (iv) brominated plastics in mixed streams constituted by small appliances (i.e., cathode-ray tube televisions and monitors). The application of chemometric techniques to hyperspectral data demonstrated the potentiality of this approach for systematic utilization for material characterization, quality control and sorting purposes. The experimental findings highlight the feasibility of employing this method due to its user-friendly nature and quick detection response. To increase and optimize WEEE valorization avoiding disposal in landfills or incineration, recycling-oriented characterization and/or quality control of the processed products are fundamental to identify and quantify substances to be recovered.
Exploring the Relationship between Big Data Analytics Capability and Organization’s Strategic Intent: Mediating Role of Environmental Scanning

Abstract Big data analytics has attracted significant scholarly attention over the past few years due to its critical role in directing organizational decision making. Big data analytics capabilities (BDAC) are increasingly being suggested to be of great help in providing competitive advantages to the firms across industrial settings. Although, prior research has examined the influence of BDAC from a technological perspective; there is a lack of a research from a broader strategic perspective. Correspondingly, this study builds on dynamic capabilities view to propose a conceptual model that investigates the direct and indirect effects between three dimensions of BDAC on environmental scanning and organization’s strategic intent. This study adopted the questionnaire-based survey method to collect the data from 179 senior managers of pharmaceutical companies in Egypt. The results revealed that only the technological dimension of BDAC significantly affected the strategic intent only through supporting data-driven culture and organizational learning. The results also reveal that BDAC is positively associated with environmental scanning, which consequently affects strategic intent. Our results further reveal that environmental scanning mediates the relationship between BDAC and organization’s strategic intent. The paper concludes by offering some valuable theoretical and practical implications.
A Lightweight Transformer Network for Hyperspectral Image Classification

Transformer is a powerful tool for capturing long-range dependencies and has shown impressive performance in hyperspectral image (HSI) classification. However, such power comes with a heavy memory footprint and huge computation burden. In this article, we propose two types of lightweight self-attention modules (a channel lightweight multihead self-attention (CLMSA) module and a position lightweight multihead self-attention (PLMSA) module) to reduce both memory and computation while associating each pixel or channel with global information. Moreover, we discover that transformers are ineffective in explicitly extracting local and multiscale features due to the fixed input size and tend to overfit when dealing with a small number of training samples. Therefore, a lightweight transformer (LiT) network, built with the proposed lightweight self-attention modules, is presented. LiT adopts convolutional blocks to explicitly extract local information in early layers and employs transformers to capture long-range dependencies in deep layers. Furthermore, we design a controlled multiclass stratified (CMS) sampling strategy to generate appropriately sized input data, ensure balanced sampling, and reduce the overlap of feature extraction regions between training and test samples. With appropriate training data, convolutional tokenization, and LiTs, LiT mitigates overfitting and enjoys both high computational efficiency and good performance. Experimental results on several HSI datasets verify the effectiveness of our design.
Some new Chacon-Edgar-type inequalities for stochastic processes, and characterizations of Vitali-conditions

In this paper we prove that Edgar’s main inequality in [5] extends to stochastic processes (Xi, where satisfies the Vitalicondition V, when we use the notion essential lim sup in this inequality. We also prove that the inequality is right without V, but then using the notion stochastic lim sup. At the same time, we also generalise some maximal inequalities, proved in [12] and some convergence results in [10]. §
Mitochondrial dysfunction in heart diseases: Potential therapeutic effects of Panax ginseng

Heart diseases have a high incidence and mortality rate, and seriously affect people’s quality of life. Mitochondria provide energy for the heart to function properly. The process of various heart diseases is closely related to mitochondrial dysfunction. Panax ginseng (P. ginseng), as a traditional Chinese medicine, is widely used to treat various cardiovascular diseases. Many studies have confirmed that P. ginseng and ginsenosides can regulate and improve mitochondrial dysfunction. Therefore, the role of mitochondria in various heart diseases and the protective effect of P. ginseng on heart diseases by regulating mitochondrial function were reviewed in this paper, aiming to gain new understanding of the mechanisms, and promote the clinical application of P. ginseng.
Clinic Carpal Tunnel Release Surgery Outcomes and High-Value Care

As healthcare costs continue to rise, the importance of delivering high-value healthcare increases. The volume of carpal tunnel release surgeries performed annually generates a significant cost burden for the healthcare system. The fundamental expenses of carpal tunnel release surgery are facility fees, anesthesia fees, and surgeon fees. Performing open carpal tunnel release surgeries in the clinic utilizing local anesthesia and field sterilization minimizes facility and anesthesia costs. We compared patient outcomes, as measured by infection and revision rates, between hospital-based, ambulatory surgery center-based, and clinic-based carpal tunnel release operations. Three hundred and eighty-eight patients were treated with isolated mini-open carpal tunnel release procedures by three fellowship-trained hand surgeons: 12 patients had hospital-based procedures, 229 had ASC-based procedures, and 147 had clinic-based procedures. All procedures were performed using a mini-open approach. No patients were diagnosed with deep infections post-procedurally, irrespective of venue. Our results show no significant difference in outcomes between venues. Therefore, we conclude that the outcomes of open carpal tunnel release surgeries performed in the clinic were not inferior to carpal tunnel release operations performed at the ambulatory surgery center or the hospital. The cost savings from field sterilization, local anesthesia, and the absence of a facility fee provide an opportunity to expand high-value care.
The role of disk self-gravity on gap formation of the HL Tau proto-planetary disk

We use extensive global hydrodynamic disk gas+dust simulations with embedded planets to model the dust ring and gap structures in the HL Tau protoplanetary disk observed with the Atacama Large Millimeter/Submillimeter Array (ALMA). Since the HL Tau is a relatively massive disk, we find the disk self-gravity (DSG) plays an important role in the gap formation induced by the planets. Our simulation results demonstrate that DSG is necessary in explaining of the dust ring and gap in HL Tau disk. The comparison of simulation results shows that the dust rings and gap structures are more evident when the fully 2D DSG (non-axisymmetric components are included) is used than if 1D axisymmetric DSG (only the axisymetric component is included) is used, or the disk self-gravity is not considered. We also find that the couple dust+gas+planet simulations are required because the gap and ring structure is different between dust and gas surface density.
Professional competence development of heritage guides

ABSTRACT This paper explores the critical issues regarding heritage guides’ professional competence development in Macao – a prominent tourist destination – by analysing the current competence development system. The data is collected through semi-structured interviews with professional heritage guides and trainers who lead the guide training programme in Macao. Additionally, official documents and previous research on related topics are reviewed. The study found that the guides, with experience ranging from 2 to 46 years, enhance their professional competence through both formal and informal processes. Three significant factors that impact their competence development are intrinsic motivation, extrinsic motivation, and constraints. Based on the findings, practical approaches are suggested for developing professional competence by taking advantage of the opportunities available in Macao. The study also proposes solutions to address the shortcomings and improve the system.
Procuring infrastructure public-private partnerships: capability development and learning from an owner perspective

Abstract The expanding application of Public-Private Partnerships (PPPs) in infrastructure development and public service delivery has posed numerous commercial challenges for public sector owners (PSOs) regarding their capabilities to initiate, procure and manage PPP projects. This paper starts from the important role of owner project capabilities in infrastructure delivery and explores how PSOs learn to develop new commercial capabilities to match the PPP context. We draw on a qualitative single-case study of a state-owned enterprise in the Chinese context, which at the time of the study was in the early stages of applying the PPP approach in procuring metro line projects. The finding indicates the process of how the PSO learned to establish and develop the necessary owner commercial capabilities to procure infrastructure PPPs for the first time, such as the abilities to define project scope, procure, and manage suppliers. It sheds light on the roles of different types of learning mechanisms – experience accumulation, knowledge articulation, and knowledge codification – on capability development for PPPs over time from an owner perspective.
EVALUATION OF THE PHYSICO-CHEMICAL QUALITY OF WATERS USED IN IRRIGATION IN THE PERIMETER OF THE WASTEWATER TREATMENT PLANT OF DAR EL GUEDDARI.

S. Njimat*, H. Griou, M. Aboulouafa and S. Ibn Ahmed. Laboratory of Materials, Electrochemistry and Environment. Department of Chemistry Faculty of Science Ibn Tofail University Kenitra – Morocco. Manuscript Info Abstract . Manuscript History
Micromechanical and surface adhesive properties of single saccharomyces cerevisiae cells

The adhesion and mechanical properties of a biological cell (e.g. cell membrane elasticity and adhesiveness) are often strong indicators for the state of its health. Many existing techniques for determining mechanical properties of cells require direct physical contact with a single cell or a group of cells. Physical contact with the cell can trigger complex mechanotransduction mechanisms, leading to cellular responses, and consequently interfering with measurement accuracy. In the current work, based on ultrasonic excitation and interferometric (optical) motion detection, a non-contact method for characterizing the adhesion and mechanical properties of single cells is presented. It is experimentally demonstrated that the rocking (rigid body) motion and internal vibrational resonance frequencies of a single saccharomyces cerevisiae (SC) (baker’s yeast) cell can be acquired with the current approach, and the Young’s modulus and surface tension of the cell membrane as well as surface adhesion energy can be extracted from the values of these acquired resonance frequencies. The detected resonance frequency ranges for single SC cells include a rocking (rigid body) frequency of 330 ± 70 kHz and two breathing resonance frequencies of 1.53 ± 0.12 and 2.02 ± 0.31 MHz. Based on these values, the average work-of-adhesion of SC cells on a silicon substrate in aqueous medium is extracted, for the first time, as WASC−Si=16.2±3.8 mJm−2. Similarly, the surface tension and the Young’s modulus of the SC cell wall are predicted as σSC=0.16±0.02 Nm−1 and ESC= 9.20 ± 2.80 MPa, respectively. These results are compared to those reported in the literature by utilizing various methods, and good agreements are found. The current approach eliminates the measurement inaccuracies associated with the physical contact. Exciting and detecting cell dynamics at micro-second time-scales is significantly faster than the currently known metabolistic response times of cells (milliseconds to seconds), thus, it has the potential to decouple metabolistic and mechanotransduction effects from external stimuli and to operate at high throughput rates.
Sugarcane (Saccharum officinarum) bagasse as a source of fiber and fat replacer in ice creams: chemical, microbiological, and sensory evaluation

Abstract Agricultural by-products are relevant sources of valuable bioactive compounds, such as fiber, which its regular ingestion is associated with health benefits. This study evaluated the chemical, microbiological, and sensory properties of ice cream using the sugarcane bagasse as a partial fat replacer and fiber-enrichment component. Three ice cream formulations containing 15% (T1); 20% (T2) and 25% (T3) of sieved dried bagasse fiber were produced and compared against a control ice cream (C) without including the by-product. Fat content reduction was 53.40%, 78.88% and 81.99%, respectively; and, the total dietary fiber values increased 14.2%, 19.0% and 24.3%, respectively. Microbiological parameters of all ice cream formulations complied with the requirements established in the Ecuadorian standard for ice creams - NTE INEN 706:2013 and the limits for the mold and yeast count included in the Argentine Food Code. Compared with the control sample (C), formulation T1 did not show a significant statistical difference (p > 0.05) for four out of the five sensory parameters assessed (appearance, texture, flavor, and general acceptance, except taste) using a 9-point structured hedonic scale. The bagasse fiber resulted in a promising food ingredient suitable for reducing fat content and increasing fiber value.