Miracle-dz/UniFAR-FTUs huggingface dataset:
Elaboration of Social Media Performance Measures: From the Perspective of Social Media Discontinuance Behavior

Social media platforms insist on the so-called “number of visits, clicking, and subscription” as a measurement of social media performance. However, this method of measurement does not take into account dormant user accounts and unintentional clicks or visits. To fully understand social media performance, this study aims to examine the process of users’ discontinuance behavior from the view of technostress creators and socialstress creators through social media fatigue. Also, this study investigates the influence of involvement between social media fatigue and discontinuance behaviors. To understand the impact of technostress and social stress creators on users’ discontinuance behavior, this study conducted an off- and online survey in Korea. Using Confirmatory factory analysis (CFA), this study has a strong academic contribution because it identifies the existing methods measuring social media performance through numbers of accounts or joining in as inaccurate.
Limited Maternal Gene Flow Amongst Elk in the Greater Yellowstone Ecosystem Revealed by Mitochondrial DNA

We report on the progress that has been made on initiating long-term telemetry studies of mountain goats (Oreamnos americanus) and bighorn sheep (Ovis Canadensis) in the GYA to better understand spatial ecology, demography, potential competition, and disease ecology. Six study areas representing a variety of ecological settings have been established throughout the GYA that include areas where bighorn sheep and mountain goats are sympatric as well as where each species exists in the absence of the other. We are employing a novel dual radio collar strategy and have successfully evaluated the use of drop net systems to capture groups of bighorn attracted to bait as an economical alternative to standard helicopter-based single animal capture techniques. Chemical immobilization of bighorn using BAM as an alternative to carfentanil was also tested and evaluated. A break-down Clover trap was designed for ease of transportation via horse for backcountry trapping and summer salt baiting for bighorn sheep and mountain goats was evaluated. We have initiated the first systematic disease sampling of mountain goats in the GYA using the standard protocols employed for bighorn sheep health assessments to evaluate the potential for mountain goats to influence the disease ecology of bighorn sheep in areas where they are sympatric. The research goals, strategies, and methodologies developed, tested, and employed on the collaborative GYA mountain ungulate research program are similar to those proposed for a long-term bighorn sheep research program in Montana.
Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing

It is proposed, developed, investigated, and validated by experiments and modelling for the first time in worldwide terms new data processing technologies, higher order spectral multiple correlation technologies for fault identification for electromechanical systems via electrical data processing. Investigation of the higher order spectral triple correlation technology via modelling has shown that the proposed data processing technology effectively detects component faults. The higher order spectral triple correlation technology successfully applied for rolling bearing fault identification. Experimental investigation of the technology has shown, that the technology effectively identifies rolling bearing fault by electrical data processing at very early stage of fault development. Novel technology comparisons via modelling and experiments of the proposed higher order spectral triple correlation technology and the higher order spectra technology show the higher fault identification effectiveness of the proposed technology over the bicoherence technology.
Regulation of Talin-Mediated Integrin Activation

Talin is a critical cytoplasmic protein that triggers the conformational change and activation of integrins which mediate cell adhesion, spreading, and migration. This large cytoskeletal protein consists of an N-terminal FERM-domain containing head (TH) and a C-terminal 13-helical bundle rod. Without cellular stimulation, Talin is auto-inhibited through an N/C-terminal interaction where the integrin binding site in TH is masked by its own Talin rod. Conformational regulation, localization and activation of Talin via numerous pathways and mechanisms has been elusive for decades. This study focused on these issues by investigating three potential mechanisms: Mechanism 1: Structure-based functional study of an electrostatic “pull-push” mechanism for Talin activation. Mechanism 2: Structure-based functional elucidation of Talin recruitment to membrane by a novel interaction between TH and RAP1. Mechanism 3: NMR-based elucidation on membrane binding of Kindlin-3 via its N-terminus to cooperate with Talin for inducing potent integrin activation. Through these studies, I provide strong evidence that multiple regulatory mechanisms exist for Talin activation, recruitment and localization to promote integrin activation.
Eelgrass (Zostera marina L.) restoration in Puget Sound: development of a site suitability assessment process

The restoration of eelgrass (Zostera marina L.) is a high priority in Puget Sound, Washington, United States. In 2011, the state set a restoration target to increase eelgrass area by 4,200 ha by 2020, a 20% increase over the 21,500 ha then present. In a region as large, dynamic, and complex as Puget Sound, locating areas to restore eelgrass effectively and efficiently is challenging. To identify potential restoration sites we used simulation modeling, a geodatabase for spatial screening, and test planting. The simulation model of eelgrass biomass used time series of water properties (depth, temperature, and salinity) output from a regional hydrodynamic model and empirical water clarity data to indicate growth potential. The geographic information system‐based analysis incorporated results from the simulation model, historical and current eelgrass area, substrate, stressors, and shoreline manager input into a geodatabase to screen sites for field reconnaissance. Finally, we planted eelgrass at test sites and monitored survival. We screened 2,630 sites and identified 6,292 ha of highly to very highly suitable conditions for eelgrass—ample area for meeting the 20% target. Test plantings indicated that fine‐scale data are needed to improve predictive capability. We summarized the results of our analysis for the majority of the approximately 3,220 km of shoreline in Puget Sound on maps to support restoration site selection and planning. Our approach provides a process for identifying and testing potential restoration sites and highlights information needs and management actions to reduce stressors and increase eelgrass area to meet restoration objectives.
Fixed‐time sliding mode‐based observer for non‐linear systems with unknown parameters and unknown inputs

It is of importance to design observers for multi-variable non-linear systems with unknown parameters and partially driven by unknown inputs. Such a problem arises in systems subject to disturbances or with inaccessible inputs and in many applications such as parameter identification, fault detection and isolation or cryptography. In this study, the problem of fixed-time observation for non-linear dynamical systems with unknown parameter and inputs is studied. Conditions on full/partial state and parameters identification are provided by the way of an observation algorithm based on differential geometry theory. Then, a uniform differentiator for estimating simultaneously the states and unknown parameters in fixed time while avoiding observability singularities is designed. An example on topology identification of network systems is described to show the effectiveness of the proposed method.
Hunting of mammal species in protected areas of the southern Bahian Atlantic Forest, Brazil

Abstract To investigate the practice of hunting by local people in the southern Bahia region of Brazil and provide information to support the implementation of the National Action Plan for Conservation of the Central Atlantic Forest Mammals, we conducted 351 interviews with residents of three protected areas and a buffer zone. Thirty-seven percent of respondents stated that they had captured an animal opportunistically, 16% hunted actively and 47% did not hunt. The major motivation for hunting was consumption but people also hunted for medicinal purposes, recreation and retaliation. The most hunted and consumed species were the paca Cuniculus paca, the nine-banded armadillo Dasypus novemcinctus and the collared peccary Pecari tajacu; threatened species were rarely hunted. Opinions varied on whether wildlife was declining or increasing; declines were generally attributed to hunting. Our findings suggest there is illegal hunting for consumption in and around protected areas of the region. Management efforts should prioritize fairness in the expropriation process for people who must be relocated, and adopt an approach to wildlife management that involves residents living around the protected areas, and considers their needs.
Knowledge about COVID-19 among university students before the implementation of the enhanced community quarantine in Philippines

The purpose of this study was to determine the knowledge of the students about Coronavirus Disease-2019 (COVID-19) before the Philippines government implements the enhanced community quarantine in Luzon. A descriptive research design was conducted among the students of Nueva Ecija University of Science and Technology, San Isidro Campus. The sample size was computed by using the Epi-Info version 2000 Computer Programme. Questionnaire was used to collect data that was composed of the profile, questions regarding their knowledge about COVID-19 and their source of knowledge. Permission to conduct and informed consent was obtained before the respondent answer the questionnaire. Data were analyzed using various statistical tools. Majority of the respondents had an average and good knowledge while sex was the only variable that differs significantly in their knowledge about COVID-19. Social media and seminars in the school were among their primary source of knowledge. It is concluded that students‟ knowledge about COVID-19 was sufficient. However, the absence of vaccines against COVID-19, prevention and control of the disease was the only way to fight it which requires organizing health education campaigns in different communities to disseminate more information on how everybody can effectively deal with this pandemic.
Breed-specific biochemical parameters of healthy adult turkeys in humid tropics in Nigeria

This study evaluated the serum biochemistry profile of apparently healthy B-not strain of indigenous turkeys and determined the influence of sex on parameters. A total of 50 apparently healthy B-not strain of turkeys of either sex were studied. The turkeys were kept in the animal house at the College of Veterinary Medicine in Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria. Blood samples were collected from the jugular vein and standard procedures were followed in all the serum biochemistry parameters determined. The overall mean for the serum biochemistry parameters were as follows: alkaline phosphatase (ALP): 207.71 ± 2.93 IU/L, aspartate amino transferase (AST): 82.51 ± 1.13 IU/L, alanine amino transferase (ALT): 8.80 ± 0.83 IU/L, total protein: 3.69 ± 0.18 g/ dl, albumin: 1.94 ± 0.54 g/dl, globulin: 1.75 ± 0.14 g/dl, cholesterol: 140.82 ± 5.28, bilirubin: 0.37 ± 0.07 mg/dl, urea: 4.29 ± 0.30 mg/dl, creatinine: 0.31 ± 0.38 mg/dl, triglycerides: 107.95 ± 7.55 mg/dl and glucose: 140.33 ± 0.52 mg/dl. In comparison to the female turkeys, the males had significant lower (p < 0.05) urea, cholesterol and triglycerides levels. It is thought that the baseline biochemical values will help veterinarians to interpret serum profile of sick animals and assist researchers in interpreting laboratory data.
Revegetation to slow buckthorn reinvasion: strengths and limits of evaluating management techniques retrospectively

Understanding the long‐term success of ecosystem restoration following invasive plant removal is challenging. Long‐term experiments are costly and slow to yield results, while management decisions must often be made immediately. Alternatively, retrospective studies can leverage contrasting historical management strategies to provide insight into long‐term vegetation responses. We used a retrospective approach to evaluate how management techniques and site characteristics affected re‐establishment of an invasive shrub, Rhamnus cathartica (common buckthorn), in midwestern North America. Following removal, buckthorn re‐establishes rapidly from resprouts and seeds, so follow‐up control is required but often lacking. We hypothesized that revegetating using native herbaceous seed after removing buckthorn increases herbaceous cover that competitively suppresses buckthorn regeneration, to a degree. We surveyed 46 management units at 24 sites. Revegetated units had higher herbaceous cover, lower buckthorn cover, and half the ratio of buckthorn:herbaceous cover compared with unseeded units. These effects, although considerable on average, were detected against a background of high variance. Seeding increased herbaceous cover and reduced buckthorn relative abundance more strongly on less acidic, more clayey soils and where follow‐up herbicide was not applied. Additional variability in revegetation impacts may have arisen from buckthorn resprouts having a head‐start on planted seeds. Only one site had both seeded and unseeded management units. This lack of blocking—a common challenge in retrospective studies—reduced statistical power. This investigation illustrates how retrospective studies can offer relatively inexpensive first assessments of long‐term effects of management techniques; for more rigorous inference, researchers can partner with managers to conduct long‐term experiments.
Predicting the nutritional quality of feed ingredients for pigs using near-infrared spectroscopy (NIRS) and chemical analysis

Capacity to routinely, accurately and cost-effectively measure variation in the nutritional quality of feed ingredients before diet formulation represents a fundamental pillar of sustainable pork production worldwide. Factors driving sustainable pork production include pork price, feed cost, utilisation of co-products and downgraded raw materials and variation in pork production, with all being related to the definition and ultimate nutritional quality of feed ingredients. The present paper defines rapid measures of nutritional quality in feed ingredients for pigs and demonstrates the range that can exist in these parameters, specifically digestible energy of cereal grains and the reactive-lysine concentration of oilseed meals. It provides an overview of the development of near-infrared spectroscopy (NIRS) calibrations for key nutritional-quality parameters and how they are being applied by the pork industry. Adjunct ways to measure nutritional quality of feed ingredients for pigs such as the glucose-release index and how these can be used in conjunction with NIRS are reviewed. The paper reports advanced correlation analysis between chemical components and digestible-energy concentration of cereals, and how these could be used for screening of NIRS outliers, and discusses future opportunities for application of nutritional-quality analysis using NIRS calibrations, including feed intake and portable solutions. Using advanced NIRS calibrations for digestible energy in cereals and reactive lysine in oilseed meals, pork producers will ensure that they make best use of limited resources and, as a consequence, pork will remain a nutritionally accretive food source for increasingly discerning consumers worldwide.
Estimation of relationships between chemical substructures and antibiotic resistance-related gene expression in bacteria: Adapting a canonical correlation analysis for small sample data of gathered features using consensus clustering

The emergence of antibiotic-resistant bacteria is a serious public health concern. Understanding the relationships between antibiotic compounds and phenotypic changes related to the acquisition of resistance is important to estimate the effective characteristics of drug seeds. It is important to analyze the relationships between phenotypic changes and compound structures; hence, we performed a canonical correlation analysis (CCA) for high dimensional phenotypic and compound structure datasets. For the CCA, the required sample number must be larger than the feature number; however, collecting a large amount of data can sometimes be difficult. Thus, we combined consensus clustering to gather and reduce features. The CCA was performed using the clustered features, and it revealed relationships between the features of chemical substructures and the expression level of genes related to several types of antibiotic resistance.
Monolithic Integrated High Frequency GaN DC-DC Buck Converters with High Power Density Controlled by Current Mode Logic Level Signal

Integration is a key way to improve the switching frequency and power density for a DC-DC converter. A monolithic integrated GaN based DC-DC buck converter is realized by using a gate driver and a half-bridge power stage. The gate driver is composed of three stages (amplitude amplifier stage, level shifting stage and resistive-load amplifier stage) to amplify and modulate the driver control signal, i.e., CML (current mode logic) level of which the swing is from 1.1 to 1.8 V meaning that there is no need for an additional buffer or preamplifier for the control signal. The gate driver can provide sufficient driving capability for the power stage and improve the power density efficiently. The proposed GaN based DC-DC buck converter is implemented in the 0.25 μm depletion mode GaN-on-SiC process with a chip area of 1.7 mm × 1.3 mm, which is capable of operating at high switching frequency up to 200 MHz and possesses high power density up to 1 W/mm2 at 15 V output voltage. To the authors’ knowledge, this is the highest power density for GaN based DC-DC converter at the hundreds of megahertz range.
Comparison of ERP’s Software Qualities in Airlines Industries Using Delone Model by AHP Method

Software system qualities at Enterprise Resource Planning (ERP) play an important role in the business sector. The aim of this study is to determine if airline companies are successfull in application of ERT. Here likert scales are utilized and analyzed by means of the Analytic Hierarchy Process (AHP). Accordingly, two regardable airline companies in Turkey with 60 workers from pre and up positions are participated in the questionnary process of this research. According to the comparison results, strong and weak aspects of theses companies based on their different software systems are found to be as preferenced priorities in aviation sector competition.
Phylogenetic signals in thermal traits remain stronger in the tropics if we can believe published physiological data. A reply to McKechnie et al., “Data quality problems undermine analyses of endotherm upper critical temperatures”

Due to concerns about data quality, McKechnie, Coe, Gerson, and Wolf ( ) questioned the conclusions of our study (Khaliq et al., ) published in this journal. Here, we argue that most of the questioned data points are in fact useful for macrophysiological analyses, mostly because the vast majority of data are explicitly reported in the peer‐reviewed physiological literature. Furthermore, we show that our conclusions remain largely robust irrespective of the data inclusion criterion. While we think that constructive debates about the adequate use of primary data in meta‐studies as well as more transparency in data inclusion criteria are indeed useful, we also emphasize that data suitability should be evaluated in the light of the scope and scale of the study in which they are used. We hope that this discussion will not discourage the exchange between disciplines such as biogeography and physiology, as this integration is needed to address some of the most urgent scientific challenges.
The role of host patch characteristics and dispersal capability in distribution and abundance of Arhopalus rusticus in central Argentina

Host patch characteristics may influence the abundance of a species, but this will depend on the species’ dispersal ability and the distance between suitable patches. In central Argentina, an area of introduced pine forest was planted for wood production in the 1940s. In 2006, an invading longhorn beetle, Arhopalus rusticus (L.) (Coleoptera: Cerambycidae), was detected in the area. Since then, the species has expanded its range until it occupies the whole area. We analyze how the configuration of host patches and flight performance of A. rusticus affect its distribution. The study was performed in the center‐west of Córdoba Province, Argentina, with 24 000 ha of introduced pine forests the main pine production zone of the province. Land cover was estimated using Landsat 8 scenes. Landscape was quantified by estimating the focal patch's area, fractal dimension index (FRAC), and Euclidean nearest neighbor distance (ENN). Focal patch area showed a positive relationship with A. rusticus abundance, whereas ENN and FRAC had a negative relationship. The dispersal ability of A. rusticus was determined by putting recently emerged individuals to fly in flight mills. The flight performance results indicated that the species was probably introduced in the area by human activity, then rapidly established and expanded to the whole area. This indicates the importance of preventing its arrival in other pine production areas of Argentina, as it has proved to be an extremely successful invader.
‘It’s hard to grow when you’re stuck on your own’: enhancing teaching through a peer observation and review of teaching program

ABSTRACT Rapid technological and social changes have prompted a strong focus on teaching practices in higher education. Among the assortment of programs and approaches aimed at developing teaching practices, peer review and observation of teaching remain widespread for their efficiency and potential to be transformative. Though such programs are well described in the literature, whether or how they affect practices remains under researched. This study reports on the accounts of past participants – with respect to changes in their teaching practices – in a peer review and observation of teaching program run in the Faculty of Science at a large, research-intensive university. Results from a questionnaire and interviews from several years’ cohorts indicate that participants overwhelmingly believed that the program enhanced their teaching practice and that they continued to practice specific teaching strategies developed during their participation in the program. Particular features of the program were associated with its success, such as the role and experience of the ‘reviewer’ and the review cycle. The program was thought to have changed the perspective of participants in the way they think about teaching.