Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Regulatory Effects of Performance Management System Consistency on Employee Engagement: A Moderated Mediation Model

The study investigates the influence of performance management system consistency on employee work engagement. Drawing on the ‘job demands-resources model’ and ‘regulatory focus theory’, it was hypothesized that when employees perceive their performance management system to be consistent, they develop positive outcome expectations, which primes their achievement-oriented motivation (promotion regulatory focus) and increases their engagement. Responses were collected from 779 employees belonging to three large, multi-national organizations in India. Data were analyzed using PLS-SEM package ADANCO and Hayes’ PROCESS macro. Support was found for a moderated-mediation model. Specifically, promotion focus was found to mediate the relationship between performance management system consistency and work engagement, while positive affect moderated the relationship between performance management system consistency and promotion focus. The study advances scholarly understanding of the psychological impact of performance management systems on employees by clarifying the cognitive-affective processes underlying this relationship. The study also adds to the literature on work engagement by establishing consistency as a key attribute for performance management systems to act as a ‘job resource’ for employees and enhance their engagement. The study makes a strong case for organizations to look at performance management as an integrated system and move away from an insular focus on performance-related practices such as appraisals.
Equilibrium, Kinetics, and Thermodynamics of Bovine Serum Albumin Adsorption on Single-Walled Carbon Nanotubes

We investigated the equilibrium, kinetics, and thermodynamics of bovine serum albumin (BSA) adsorption on single-walled carbon nanotubes (SWNTs) from aqueous solutions with different pH and temperatures. We analyzed the experimental adsorption equilibrium and kinetic data to evaluate the adsorption characteristics of SWNTs for BSA. The results show that the effects of pH and temperature were important. Moreover, the adsorption isotherm data of BSA on SWNTs are consistent with the Langmuir and Freundlich models, while the kinetics can be expressed by the pseudo-first-order and the intraparticle diffusion rate models. The maximum protein adsorption capacity of SWNTs, which have a surface area of 191.2 m2/g, was found to be 609.8 mg g−1 at pH 4 and 40°C, and this was the highest value obtained among our previous studies examined with various metal oxides. In addition, the zeta potential measurements were examined to understand the effects of charge density of the surface and the protein on the adsorption process. Thermodynamic analysis results indicate that the nature of adsorption changes with pH. SWNTs were found to be effective for BSA adsorption.
Maize Yield Under Fertilization With Bio-Stimulants, Sulfur, and Zinc in the State of Paraíba, Brazil

Maize ( Zea mays ) is a cereal widely used in human and animal feeding worldwide, with great socioeconomic importance. This study aimed to evaluate the growth, productivity, and absorption of macro and micronutrients of maize under the application of biostimulant, sulfur, and zinc in a Gleisolo Haplico soil in a microclimate region of the semiarid state of Paraiba, Brazil. The experiment was carried out in a complete randomized block design, a 2x2x2 factorial scheme with eight treatments, and four replications was used. The first factor corresponded to treatment with biostimulant (Presence and absence); the second to sulfur (Presence and absence); and the latter to zinc (Presence and absence). Growth, yield, and macro and micronutrient absorption data were evaluated. Data were submitted to analysis of variance and the means compared by the Tukey test at 5% probability. The number of rows per ear and ear diameter responded positively when the biostimulant was used. Maize under foliar fertilization with zinc nitrate did not show yield increase. The application of sulfur promoted an increase in almost all variables, including yield. The combined application of the three products influenced only the number of rows per ear. The application of sulfur separated or together with biostimulant provided an increase in the absorption of some nutrients by the leaf such as copper, N and K. As a result of fertilization with sulfur, which provided an increase in leaf absorption, mainly of N, also promoted a significant increase in all student variables, including grain productivity.
Study on catalytic distillation processes. Part II: Simulation of catalytic distillation processes. Quasi-homogeneous and rate-based model

The rate-based model for the design and simulation of separation processes is modified so as to be suitable for the catalytic distillation process where the column consists of three parts: a rectifying and a stripping section with trays and a packed reactive section with a specially arranged structure. The correlations given in Part I were employed for computations of mass transfer coefficients in the catalytic packing bed using the Newton-Raphson technology to solve the model equations. In order to accelerate the convergence, a better method for obtaining the initial values of iteration variables, that particularly suit this complicated problem, was advanced for the rate-based model. Using the kinetic model by Wang et al., the catalytic distillation process for the manufacture of methyl tertiary butyl ether (MTBE) was simulated. The results are in agreement with that from practice
The Effect of Talaromyces funiculosus ST976 Isolated from Pistacia vera Rhizosphere on Phosphorus Solubility in Soil Samples with Different Physicochemical Properties

In this study, a total of 78 Talaromyces isolates were isolated from the pistachio (Pistacia vera L.) rhizosphere heavily infested with Neoscytalidium spp. The identification studies of the four representative isolates based on morphological and molecular methods showed that all isolates were T. funiculosus. The 575 bp long sequence of the internal transcribed spacer region of T. funiculosus isolate ST976, selected as a representative of the isolates, was deposited in GenBank under accession no. MW130842. The Maximum Likelihood tree clustered the ST976 isolate with reference T. funiculosus isolates derived from the GenBank nucleotide database. The phosphorus dissolution ability of ST976 isolate was determined by an experiment using six soil samples collected from agricultural lands in various locations of Şanlıurfa province. The pH of the soil samples taken varied between 7.21 and 7.88. As a result of the analysis performed with the addition of the isolate ST976 applied to soil samples with different soil structures (Clay and Clay-Loam), it was determined that the isolate ST976 dissolved 109–311% more phosphorus than the control sample. The study is one of the first studies proving the ability of T. funiculosus isolate ST976 to dissolve phosphorus without any additives to soil solution was determined.
Three new genera from South America and some taxonomic changes in Gyponini (Insecta: Hemiptera: Cicadellidae)

Three new South American leafhopper genera of the tribe Gyponini are proposed: Beltrana gen. nov. based on Beltrana reticulata gen. et sp. nov. from French Guiana, Fulana gen. nov. based on Fulana brasiliensis gen. et sp. nov. from Brazil, and Sicrana gen. nov. based on Sicrana plana gen. et sp. nov. from Brazil and Ecuador. Diagnoses, detailed descriptions, and illustrations are provided for each taxon, as well as comparisons with closely related genera. In addition, the following synonyms are proposed: Freytagana DeLong, 1975 as a junior synonym of Marganana DeLong, 1948 and F. gibsoni DeLong, 1975 as a junior synonym of M. (Marganana) mexicana DeLong & Freytag, 1963. Chilella DeLong & Freytag, 1967 is transferred from Gyponini to Selenomorphini Evans, 1974.
Industrial PCB design for an H-bridge

The H-bridge is a typical structure commonly used in electronics to connect a load to a DC supply in both forward and reverse bias, or to control direct current (DC), three-phase, multi-phase, or stepper electric motors. In addition to motor control, they are used in inverters that convert DC electricity to alternating current. Some challenges related to hardware development include the implementation of protection features and control procedures for equipment. In this paper, the authors propose hardware solutions for the realization of an H-bridge with both local control and remote control via 4G network, designed for industrial environments. These have been tested for validation using a prototype.
Marchenko redatuming, imaging and multiple elimination, and their mutual relations

With the Marchenko method it is possible to retrieve Green's functions between virtual sources in the subsurface and receivers at the surface from reflection data at the surface and focusing functions. A macro model of the subsurface is needed to estimate the first arrival; the internal multiples are retrieved entirely from the reflection data. The retrieved Green's functions form the input for redatuming by multidimensional deconvolution (MDD). The redatumed reflection response is free of internal multiples related to the overburden. Alternatively, the redatumed response can be obtained by applying a second focusing function to the retrieved Green's functions. This process is called Marchenko redatuming by double focusing. It is more stable and better suited for an adaptive implementation than Marchenko redatuming by MDD, but it does not eliminate the multiples between the target and the overburden. An attractive efficient alternative is plane-wave Marchenko redatuming, which retrieves the responses to a limited number of plane-wave sources at the redatuming level. In all cases, an image of the subsurface can be obtained from the redatumed data, free of artefacts caused by internal multiples. Another class of Marchenko methods aims at eliminating the internal multiples from the reflection data, while keeping the sources and receivers at the surface. A specific characteristic of this form of multiple elimination is that it predicts and subtracts all orders of internal multiples with the correct amplitude, without needing a macro subsurface model. Like Marchenko redatuming, Marchenko multiple elimination can be implemented as an MDD process, a double dereverberation process, or an efficient plane-wave oriented process. We systematically discuss the different approaches to Marchenko redatuming, imaging and multiple elimination, using a common mathematical framework.
Overexpression of UBE2C in esophageal squamous cell carcinoma tissues and molecular analysis

Background Esophageal cancer is a common malignant tumor and its 5-year survival rate is much lower than 30% due to its invasiveness and pronounced metastasis ability, as well as the difficulty in early diagnosis. This study aimed to elucidate the molecular mechanism of ubiquitin conjugating enzyme E2 C (UBE2C) in esophageal squamous cell carcinoma (ESCC). Methods In this study, we conducted a comprehensive evaluation of the UBE2C expression in ESCC by collecting the protein and mRNA expression data (including in-house RNA-seq, in-hosue immunohistochemistry, TCGA-GTEx RNA-seq and tissue microarray) to calculate a combined standardized mean difference (SMD) and summary receiver operating characteristic curve (sROC). Kaplan-Meier (K-M) method was used for survival analysis. We also explored the mechanism of UBE2C in ESCC by combing the differentially expressed genes (DEGs) of ESCC, related-genes of UBE2C in ESCC and the putative miRNAs and lncRNAs which may regulate UBE2C. Results UBE2C protein and mRNA were highly expressed in ESCC tissues (including 772 ESCC tissue samples and 1837 non-cancerous tissue control samples). The pooled SMD of UBE2C expression values was 1.98 (95% CI: 1.51–2.45, p < 0.001), and the the area under the curve (AUC) of the sROC was 0.93 (95% CI: 0.90–0.95). The results of survival analysis suggested that UBE2C is likely to play different roles in different stages of the ESCC. Pathway anaylsis showed that UBE2C mainly influenced the biological function of esophageal cancer by synergistic effects with CDK1, PTTG1 and SKP2. We also constructed a potential UBE2C-related ceRNA network for ESCC (HCP5/has-miR-139-5p/UBE2C). Conclusion UBE2C mRNA and protein level were highly expressed in ESCC and UBE2C was likely to play different roles in different stages of the ESCC.
Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer

As an important element of emotional brain-computer interfaces, electroencephalography (EEG) signals have made significant progress in emotion recognition due to their high temporal resolution and reliability. However, EEG signals vary widely among individuals and do not satisfy temporal non-stationarity. Furthermore, trained models cannot maintain good classification accuracy for new individuals or new sessions during the inference stage. Although domain adaptation has been employed to address these issues, most approaches that consider different subjects or sessions as a single source domain ignore the large discrepancies between source domains, while methods that consider multi-source domains need to construct a domain adaptation branch for each source domain. Here, we propose a novel emotion recognition method, i.e., multi-source attention-based dynamic residual transfer (MS-ADRT). We introduce a dynamic feature extractor, in which the model uses an attention module to induce parameters to vary with the sample, implicitly enabling multi-source domain adaptation by adapting to the sample, thus reducing multi-source domain adaptation to single-source domain adaptation. Maximum mean discrepancy (MMD) and maximum classifier discrepancy (MCD)-based adversarial training are also used to narrow distances between source and target domains and facilitate the feature extractor to mine domain-invariant and sentiment-distinguishable features. We compared our algorithm with representative methods using the SEED and SEED-IV datasets, and experimentally verified that our method outperforms other state-of-the-art approaches. The proposed method provides a more effective transfer learning pathway for EEG-based sentiment analysis under multi-source scenarios.
Interactive effects of habitat attributes and predator identity explain avian nest predation patterns

ABSTRACT Predation is the main cause of nest failure among birds. Habitat characteristics play a critical role in affecting nest predation by modifying nest conspicuousness and ease of access to predators. Here, using artificial nests containing a canary egg and a model clay egg we examined and compared nest predation rates and the principal nest predators in three different Patagonian forest stand types. Also, we evaluated how vegetation cover and nest height affected the different nest predators. We found lower nest predation rates in evergreen than deciduous forests, suggesting the forest type as a key factor modulating the risk of nest predation. We identified birds, an arboreal marsupial (Dromiciops gliroides), and mice as the main nest predators in the study area. These nest predators responded differently to the microhabitat conditions around the nest. Predation by birds was mainly related to nests placed closer to the ground, while marsupial nest predation was linked to greater shrub cover and mice showed no response to microhabitat conditions. Together, our results suggest that predation rates result from the interplay between large and small scale habitat characteristics, in addition to predator assemblages. Comparing specific predator-prey interactions is key for understanding the underlying mechanisms influencing nest predation.
Effect of jet lag on brain white matter functional connectivity

A long-haul flight across more than five time zones may produce a circadian rhythm sleep disorder known as jet lag. Little is known about the effect of jet lag on white matter (WM) functional connectivity (FC). The present study is to investigate changes in WM FC in subjects due to recovery from jet lag after flying across six time zones. Here, resting-state functional magnetic resonance imaging was performed in 23 participants within 24 hours of flying and again 50 days later. Gray matter (GM) and WM networks were identified by k-means clustering. WM FC and functional covariance connectivity (FCC) were analyzed. Next, a sliding window method was used to establish dynamic WM FC. WM static and dynamic FC and FCC were compared between when participants had initially completed their journey and 50 days later. Emotion was assessed using the Positive and Negative Affect Schedule and the State Anxiety Inventory. All participants were confirmed to have jet lag symptoms by the Columbian Jet Lag Scale. The static FC strengthes of cingulate network (WM7)- sensorimotor network and ventral frontal network- visual network were lower after the long-haul flight compared with recovery. Corresponding results were obtained for the dynamic FC analysis. The analysis of FCC revealed weakened connections between the WM7 and several other brain networks, especially the precentral/postcentral network. Moreover, a negative correlation was found between emotion scores and the FC between the WM7 and sensorimotor related regions. The results of this study provide further evidence for the existence of WM networks and show that jet lag is associated with alterations in static and dynamic WM FC and FCC, especially in sensorimotor networks. Jet lag is a complex problem that not only is related to sleep rhythm but also influences emotion.
Production of antisera to phenylbutazone and oxyphenylbutazone for use in immunochemical detection assays

ABSTRACT Phenylbutazone, a non-steroidal anti-inflammatory drug commonly used to treat horses for musculoskeletal disorders, can cause adverse effects in humans and is therefore not permitted for use in food-producing animals in the EU. In recent years some equine and bovine samples have been found to be non-compliant. While physicochemical methods of analysis exist there is a need for less-expensive, rapid screening methods such as immunoassays. This study describes the production of antisera to detect phenylbutazone and its main metabolite, oxyphenylbutazone. Four haptens were chosen for immunogen preparation and two of these, suxibuzone and γ-hydroxyphenylbutazone, produced antisera with 50% of maximal inhibitory concentration (IC50s) of <5 ng mL−1 for phenylbutazone. Antisera with IC50s of 5.5 ng mL−1 for phenylbutazone and 5.6 ng mL−1 for oxyphenylbutazone were produced by their respective haptens. The figures suggest that the antisera could deliver detection capabilities below the concentration that is recommended by the Community Reference Laboratory (5 ng mL−1).
A Study on the Evaluation Method of Autonomous Vehicle for Fixed Targets

Recently, the automobile industry aims to commercialize autonomous vehicles, standardization and research and development are actively underway based on the specifications of automotive electronic control systems and the verification of functional errors. Based on this, autonomous driving technology is becoming more advanced, and it is preparing for an era of full autonomous driving through V2X technology convergence. It is also, expanding the models of ADAS applied vehicles such as FCW, BSD, LCA. Based on this, research is also actively underway to secure safety of vehicles and pedestrians, such as V2X, Localization, Fail Safe, to supplement the limitations of sensor-based autonomous driving. In this regard, this study proposes a theoretical formula for longitudinal relative distance computation for autonomous vehicles evaluation method, and uses test device such as DGPS to collects and verify data. In addition, a scenario was proposed for the fixed target, based on this, four types of test were formed to conduct the actual test, and the relative distances were compared, analyzed and verified. Comparative analysis results, in the second test of the first test scenario, the avoidance test of the fixed target in driving own lane, the minimum error rate was 0.5%, and in the second test of fourth test scenario, the avoidance test of the fixed target in driving own lane, the maximum error rate was 7.4%. The main cause of error is, it was judged as an error due to sensor recognition, depending on the scenario progress method, the condition of the test path, and the weather such as sunlight. In the future, we plan to conduct an evaluation on moving target.
Geodetic Observation and Modeling of the Coseismic and Postseismic Deformations Associated With the 2020 Mw 6.5 Monte Cristo Earthquake

The 2020 Mw 6.5 Monte Cristo earthquake occurred in the northeastern Mina deflection of the central Walker Lane Belt (WLB) in Nevada, USA. The Mina deflection represents a typical stepover zone that transfers the dextral slip in the northern Eastern California Shear Zone onto the dextral faults in the central WLB. The Monte Cristo earthquake provides a rare opportunity to investigate the strain accumulation and stress transition mechanisms in the WLB. In this study, ascending and descending Sentinel‐1 images were utilized to generate coseismic and early postseismic deformations associated with this earthquake. Combined with global positioning system measurements, these images were inverted for the coseismic slip and afterslip of the Monte Cristo earthquake. The preferred coseismic slip model suggests that the causative fault is characterized by two fault segments with southward dips of 64° and 79°. The coseismic rupture was dominated by sinistral slip with obvious normal slip components in the western segment of the source fault. The coseismic slip was mainly concentrated in the 3–12 km depth range and decreased at shallower depths, suggesting a moderate amount of shallow coseismic slip deficit. Rapid afterslip was mainly confined to the 0–3 km depth range, largely compensating for the shallow slip deficit caused by the mainshock. The widely distributed normal slips in the northeastern Mina deflection revealed by the Monte Cristo earthquake suggest the transtensional model is more applicable due to its ability to account for the slip transition kinematics in the Mina deflection.
Applying news values theory to liking, commenting and sharing mainstream news articles on Facebook

Drawing upon the newsworthiness model that posits that media outlets rely on criteria (news values) to determine which stories are newsworthy and deserve prominence and the media coverage predicts audience attention to the event, this study examines the news values that lead social media users to like, comment on, and share mainstream news stories on Facebook. A content analysis of 2480 articles from three major news newspapers in South Korea (Chosun, Hankook and Hankyoreh) found that news stories of higher social significance are more common than news stories of higher deviance on the Facebook pages of the three news outlets. Although audiences comment on news stories of higher social significance more frequently than stories of higher deviance, they hit more ‘likes’ on news stories of higher deviance. The results are mixed for sharing – for the conservative Chosun’s Facebook page, stories of higher deviance were more often shared than stories of higher social significance, while the opposite pattern occurred with the moderate Hankook and liberal Hankyoreh.