Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceived Insider Status: Not Moderating the Relationship Between Humble Leadership on Employees’ Creative Deviance

This study investigated the relationship between humble leadership (HL) and employees' creative deviance behaviors (CDB), whether or not moderated by perceived insider status (PIS). The conceptual framework is based on the interplay between the three variables, explores the relationship between humble leadership and employees' CDB, and assesses PIS's moderating effect. The study employs the independent variable of humble leadership, divided into three dimensions: self-awareness, appreciation of subordinates, and teachability. The dependent variable is CDB, which has four elements: The individual is actively generated, the organization does not formally support it, the top management of the organization often ignores it, and it is believed that it is beneficial to the interests of the organization. The moderator variable is PIS, reflected through the positive and negative psychological cognition of employees inside the organization. The study's research design is a quantitative descriptive survey design that uses a survey questionnaire. The population of the study consists of back-office employees consisting of 319 respondents. This study used a questionnaire survey and social information processing theory to manage the data. The results revealed significant differences in humble leadership skills when respondents were grouped according to age and education. While significant differences also existed in the presence of perceived insider status when respondents were grouped according to working life. Results showed that humble leadership positively predicted creative deviance behavior and that perceived insider status did not moderate this relationship. Humble leaders who exhibit self-awareness, appreciation of others, and teachability are more likely to create an environment where creative deviance behavior is encouraged and supported. When employees feel valued, respected, and supported by their leaders, the individual who is actively generated are more likely to engage in creative deviance behaviors to challenge the status quo and push the organization forward. Although the organization does not formally support it or top management often ignores it, but may be mitigated by humble leaders who are willing to take risks and support their subordinates in pursuing innovative ideas, encouraging them by creating a safe space for subordinates more likely to generate ideas and engage in creative deviance behavior.
Asymmetric Synthesis of Methoxylated Ether Lipids: Total Synthesis of Polyunsaturated C18:3 Omega-3 and Omega-6 MEL Triene Derivatives

The asymmetric synthesis of polyunsaturated triene C18:3 n-3 and C18:3 n-6 methoxylated ether lipids (MEL) of the 1-O-alkyl-sn-glycerol type is described as possible structural candidates for a triene C18:3 MEL of an unknown identity found in a mixture of shark and dogfish liver oil. Their C18:3 hydrocarbon chains constitute an all-cis methylene skipped n-3 or n-6 triene framework, along with a methoxyl group at the 2′-position and R-configuration of the resulting stereogenic center. The methoxylated polyenes are attached by an ether linkage to the pro-S hydroxymethyl group of the glycerol backbone. The syntheses were based on the polyacetylene approach that involves a semi-hydrogenation of the resulting triynes. Both syntheses were started from our previously described enantio- and diastereomerically pure isopropylidene-protected glyceryl glycidyl ether, a double-C3 building block that was designed as a head group synthon for the synthesis of various types of MELs.
Abnormal Spatial and Temporal Overlap of Time-Varying Brain Functional Networks in Patients with Schizophrenia

Schizophrenia (SZ) is a complex psychiatric disorder with unclear etiology and pathological features. Neuroscientists are increasingly proposing that schizophrenia is an abnormality in the dynamic organization of brain networks. Previous studies have found that the dynamic brain networks of people with SZ are abnormal in both space and time. However, little is known about the interactions and overlaps between hubs of the brain underlying spatiotemporal dynamics. In this study, we aimed to investigate different patterns of spatial and temporal overlap of hubs between SZ patients and healthy individuals. Specifically, we obtained resting-state functional magnetic resonance imaging data from the public dataset for 43 SZ patients and 49 healthy individuals. We derived a representation of time-varying functional connectivity using the Jackknife Correlation (JC) method. We employed the Betweenness Centrality (BC) method to identify the hubs of the brain’s functional connectivity network. We then applied measures of temporal overlap, spatial overlap, and hierarchical clustering to investigate differences in the organization of brain hubs between SZ patients and healthy controls. Our findings suggest significant differences between SZ patients and healthy controls at the whole-brain and subnetwork levels. Furthermore, spatial overlap and hierarchical clustering analysis showed that quasi-periodic patterns were disrupted in SZ patients. Analyses of temporal overlap revealed abnormal pairwise engagement preferences in the hubs of SZ patients. These results provide new insights into the dynamic characteristics of the network organization of the SZ brain.
Comparative Computational Study on Molecular Structure, Electronic and Vibrational Analysis of Vinyl Bromide based on HF and DFT Approach

In this study, we have used the Hartree-Fock and Density Functional Theory method of calculation and compared the equilibrium configuration, electronic and vibrational mode of Vinyl Bromide molecule. The molecule is geometrically optimized initially by using 6-31G basis set with B3LYP functional and then bond angles, bond lengths, dihedral angles and IR spectra are compared respectively. Various groups of atoms in Vinyl Bromide molecule by DFT has more accurate bond length, bond angle values rather than by HF computation when comparing with the experimental values. The ground state energies are found at angle 10° or 180° or 360° using HF and DFT method of calculation for the H4-C1-C2-Br6 position. Values of the carbon-hydrogen, carbon-carbon and carbon-bromine bond lengths and bond angles for optimization state of C2H3Br molecule using Hartree-Fock and Density Functional Theory methods with respect to the basis set 6-31G have been analyzed. The C−H in-plane bending vibration and C−H out-of-plane bending vibrations occur in the region 1400–1050 cm-1 and 1000–675 cm-1 respectively. The electronic properties, such as Highest Occupied Molecular Orbital and Lowest Unoccupied Molecular Orbital energies are performed by HF and DFT approach and the difference in Highest Occupied Molecular Orbital and Lowest Unoccupied Molecular Orbital energy gap for HF and DFT method are 14.0847 eV and 6.8994 eV respectively
Consumer behavior with Artificial intelligence products

In today's era, science and technology have made rapid progress, which makes the rapid formation of the Internet era, and promotes the wide application of artificial intelligence in the commercial field. With the rapid development of e-commerce, online shopping has become more and more popular, and online shopping has become the way of shopping chosen by more and more people. In the context of the continuous development of artificial intelligence, for the online shopping industry, actively citing artificial intelligence is very beneficial to the development of the industry. However, considering that consumers' acceptance of intelligent customer service is different, this artical will use Technology Acceptance Model to analyze the usefulness and ease of intelligent customer service, and confirm consumers' acceptance of intelligent customer service in the process of online consumption. The remainder of this paper is organized as follows.
Effective aerosol optical thickness retrieval algorithm using modis 500 metre data

Aerosol estimation from satellite data is crucial for the air quality assessment, visibility estimation, and climate modelling. Numerous retrieval algorithms have been developed for aerosol optical thickness estimation but there are still uncertainties in estimation due to several factors that need to be addressed for the development of an effective retrieval algorithm. Therefore, the main goal of this study is to develop an effective aerosol retrieval algorithm using Moderate Resolution Imaging Spectroradiometer 500 metre data considering the effects of different Radiative Transfer codes, surface reflectance estimation techniques, local aerosol models, and atmospheric transmission contributions. The aerosol estimation algorithm has been developed using several processing steps include i) estimation of aerosol reflectance from satellite data, ii) local aerosol models characterization using aerosol inversion product, iii) estimation of aerosol reflectance as function of aerosol optical thickness using different Radiative Transfer codes and direct method, iv) retrieval of aerosol optical thickness by comparing the residual of aerosol reflectance between satellite data and Radiative Transfer codes using Look-up Tables based on optimal spectral shape fitting function, and v) validation of retrieved aerosol optical thickness with in-situ ground measurement. Results indicate that aerosol optical thickness can be successfully retrieved from the satellite data using Second Simulation of a Satellite Signal in the Solar Spectrum vector code, 2-channel of Moderate Resolution Imaging Spectroradiometer data, and surface reflectance derived from the Radiative Transfer code based atmospheric correction using continental and desert aerosol model together. The proposed algorithm is very effective and retrieved aerosol optical thickness from Moderate Resolution Imaging Spectroradiometer 500 metre data with the accuracy of 96% and low uncertainty for the both study sites. This finding highlights the potential of this algorithm to retrieve aerosol optical thickness from satellite data with high accuracy and good spatial information compared to the 10 kilometres satellite aerosol product.
On the use of the active infrared technique to infer heat and gas transfer velocities at the air‐water free surface

[1] A comparison study of the experimental and theoretical transfer velocities of heat ands gas transfer at a wavy air-water interface is undertaken using an active infrared technique and two gas tracers. Applying the surface renewal model formalism [Danckwerts, 1951], we find that the experimentally evaluated heat transfer velocity is roughly a factor of 2 higher than the transfer velocity of a gas with a low solubility in water when both are referenced to Sc = 600. Potential origins of such a discrepancy are investigated and we propose the use of the random eddy model [Harriott, 1962] to explain our results. The model is an extension of surface renewal to include the eddy approach distance as a new parameter. Numerical simulations of the random eddy model have been performed using a timescale evaluated from the Active Controlled Flux Technique (ACFT) and the characteristics of heat as well as the two gases used in the experiments (He and SF6). The simulation results show that the transfer velocities of two species, referenced to the same Schmidt number, are different and that their ratio depends on the average value of the approach distance and its distribution. The model as implemented in the present work also predicts changes in the Schmidt number exponent when the hydrodynamics conditions are varied.
Biochemical Analysis to Understand the Flooding Tolerance of Mutant Soybean Irradiated with Gamma Rays

Flooding stress, which reduces plant growth and seed yield, is a serious problem for soybean. To improve the productivity of flooded soybean, flooding-tolerant soybean was produced by gamma-ray irradiation. Three-day-old wild-type and mutant-line plants were flooded for 2 days. Protein, RNA, and genomic DNA were then analyzed based on oppositely changed proteins between the wild type and the mutant line under flooding stress. They were associated with cell organization, RNA metabolism, and protein degradation according to proteomic analysis. Immunoblot analysis confirmed that the accumulation of beta-tubulin/beta-actin increased in the wild type under flooding stress and recovered to the control level in the mutant line; however, alpha-tubulin increased in both the wild type and the mutant line under stress. Ubiquitin was accumulated and genomic DNA was degraded by flooding stress in the wild type; however, they were almost the same as control levels in the mutant line. On the other hand, the gene expression level of RNase H and 60S ribosomal protein did not change in either the wild type or the mutant line under flooding stress. Furthermore, chlorophyll a/b decreased and increased in the wild type and the mutant line, respectively, under flooding stress. These results suggest that the regulation of cell organization and protein degradation might be an important factor in the acquisition of flooding tolerance in soybean.
Risk factors associated with portal vein thrombosis in liver cirrhosis: A case-control study.

AIM To build a predictive model for PVT in cirrhotic patients. MATERIALS AND METHODS A single centre case-control study was carried out. From the database of 1512 cirrhotic patients 94 with newly diagnosed PVT based on contrast-enhanced computed tomography were referred to the Case group. Malignant PVT was an exclusion criterion. Patients without PVT were stratified and matched according to sex, age and etiology of cirrhosis; case-control ratio was 1 : 3-4. The prevalence of PVT in the database, clinical, laboratory, instrumental parameters of the groups were evaluated. Logistic regression model was used to estimate association between variables and PVT. RESULTS The overall prevalence of PVT was 6.2% with the highest rates among the patients with HBV infection - 16.7%, nonalcoholic steatohepatitis - 15.6%, alcohol abuse in combination with HCV infection - 11.7%. The best predictive model included variables: Child-Pugh classes B-C (coefficient of regression β=1.853, р=0.001), ascites (β=0.460, р=0.003), hepatocellular carcinoma without vascular invasion (β=2.126, р=0.0001), endoscopic band ligation (β=0.774, р=0.003), azygoportal disconnection (β=2.734, р=0.001), portal hypertensive gastropathy (β=0.793, р=0.017), portal vein diameter (β=0.203, р=0.004), and local factors - ulcerative colitis flare, Clostridium difficile enterocolitis, spontaneous bacterial peritonitis, colorectal cancer, splenectomy, cholecystectomy (β=2.075, р=0.017). The model had accuracy 85.8% (95% CI 81.7-89.4%), sensitivity - 55.1% (95% CI 43.4-66.4%), specificity - 95% (95% CI 91.6-97.3%), and AUC - 0.871 (95% CI 0.826-0.916). CONCLUSION Child-Pugh classes B-C, severe portal hypertension, hepatocellular carcinoma without vascular invasion, and local factors were estimated as risk factors of PVT in cirrhotic patients.
Awake thoracic epidural anaesthesia for laparotomy: A safer alternative to general anaesthesia in asthmatic patients

Asthma is a common obstructive lung disease with a hallmark of airway inflammation and hyper-reactivity in response to a variety of stimuli. The morbidity and mortality in asthma is directly related to reversible airway obstruction and bronchospasm in response to specific triggers. The goal of the anaesthetist is to avoid eliciting triggering stimuli that can incite bronchospasm. Neuromuscular blocking agents and invasive airway procedures like endotracheal intubation are known triggering factors for bronchospasm in asthmatics. It is therefore prudent to use regional, as oppose to general, anaesthesia whenever possible. We describe the use of an awake thoracic epidural anaesthesia for laparotomy in an asthmatic patient. We recommend that, where possible, epidural anaesthesia should be preferred to general anaesthesia in asthmatic patients.
What Impact Does the Uptake of Climate-Smart Agricultural Practices have on Rural Household Income? Evidence from Nigeria

Recent studies have verified the importance of adopting CSA practices to reduce greenhouse gases (GHGs), combat climate change, and boost food security and farmers welfare. However, there have been few studies that have examined the causal impact of CSA practices on household income. This paper assesses the impact of adoption of CSA practices on farming households’ income in Northern Nigeria. Our sample consists of cross-sectional data of 480 (160 adopters and 320 non-adopters of CSA) rural farming households selected using randomize control trial (RCT) from three Northern States in Nigeria. This study employed propensity score matching (PSM) to establish the causal effect of adoption of CSA on households’ income while inverse probability-weighted regression adjustment (IPWRA) was used to controlled for selection bias that may arise from both observed and unobserved factors. We found that, age, education, farm size, access to extension, membership of association, and access to climatic information are positive and statistically significant influencing adoption of CSA practices among farming households. The empirical findings revealed that adoption significantly impacts the farming households’ income across the two estimators used. This highlights the importance of promoting adoption of CSA practices among rural farming households. Our findings emphasize that enlightenment campaign on CSA practices, access to extension and climate information, education of farming households, the size of farmland cultivated and group formation should be promoted in order to scale up its adoption and increase households’ income.
Chlorinated Enyne Fatty Acid Amides from a Marine Cyanobacterium: Discovery of Taveuniamides L-M and Pharmacological Characterization of Taveuniamide F as a GPCR Antagonist with CNR1 Selectivity

NMR and MS/MS-based metabolomics of a cyanobacterial extract from Piti Bomb Holes, Guam, indicated the presence of unique enyne-containing halogenated fatty acid amides. We isolated three new compounds of this class, taveuniamides L-N (1–3), along with the previously reported taveuniamide F (4), which was the most abundant analog. The planar structures of the new compounds were established using 1D and 2D NMR as well as mass spectrometry. We established the configuration of this chemical class to be R at C-8 via Mosher’s analysis of 4 after reduction of the carboxamide group. Our biological investigations with 4 revealed that the compound binds to the cannabinoid receptor CNR1, acting as an antagonist/inverse agonist in the canonical G-protein signaling pathways. In selectivity profiling against 168 GPCR targets using the β-arrestin functional assay, we found that 4 antagonizes GPR119, NPSR1b, CCR9, CHRM4, GPR120, HTR2A, and GPR103, in addition to CNR1. Interestingly, 4 showed a 6.8-fold selectivity for CNR1 over CNR2. The binding mode of 4 to CNR1 was investigated using docking and molecular dynamics simulations with both natural and unnatural stereoisomers, revealing important CNR1 residues for the interaction and also providing a possible reasoning for the observed CNR1/CNR2 selectivity.
Chemical composition, radical scavenging, rheological and sensory properties of local Soft cheese (Paneeri Salik) supplemented with some natural anti-oxidant extracts

The aim of this research is to study the effect of herbs extracts (Mint, Dill, Tarragon and the combination of these herbs) supplementation on the chemical composition, antioxidant activities, rheological and sensory properties of local soft cheese (Paneeri Salik) during three weeks of storage. The addition ratio of herb extract was 6.5 % v/w for each cheese treatment then compared with the control cheese treatment. Only the moisture percentage was significantly different at level (p<0.05) in the cheese treatments which contain herbs from the control treatment, the herbs cheese moisture decreased in three weeks whereas the other chemical properties (Fat, Protein, Carbohydrate, Ash and Acidity) were not significantly different . Mint, Dill, Tarragon and mix herbs supplementation increased scavenging of free radicals and enhanced the antioxidant properties of Salik cheese, the DPPH were (79.85, 94.88, 90.52, 97.33, 99.18)% in each of (Control, Mint, Dill, Tarragon, and mix herbs) respectively in the first week then were decreased to ( 87.10, 83.62, 87.51, 83.46)% in the (Mint, Dill, Tarragon, and Mix herbs) compared to control which became 98.81% in the third week of storage. The herbs affected the hardness of cheese, which increased by increasing the storage periods. Sensory evaluation was acceptable especially in mint cheese but a few decreases in flavor were detected in the cheeses treated with herbs mix and Tarragon after three weeks of storage.
Bio-Based Aerogels for the Removal of Heavy Metal Ions and Oils from Water: Novel Solutions for Environmental Remediation

Contamination of the aqueous environment caused by the presence of heavy metal ions and oils is a growing concern that must be addressed to reduce their detrimental impact on living organisms and safeguard the environment. Recent efficient and environmentally friendly remediation methods for the treatment of water are based on third-generation bioaerogels as emerging applications for the removal of heavy metal ions and oils from aqueous systems. The peculiarities of these materials are various, considering their high specific surface area and low density, together with a highly porous three-dimensional structure and tunable surface chemistry. This review illustrates the recent progress in aerogels developed from cellulose and chitosan as emerging materials in water treatment. The potential of aerogel-based adsorbents for wastewater treatment is reported in terms of adsorption efficacy and reusability. Despite various gaps affecting the manufacturing and production costs of aerogels that actually limit their successful implementation in the market, the research progress suggests that bio-based aerogels are ready to be used in water-treatment applications in the near future.
From (cyber)space to ground: new technologies for smart farming

Increased water demand and climate change impacts have recently enhanced the need to improve water resources management, even in those areas which traditionally have an abundant supply of water, such as the Po Valley in northern Italy. The highest consumption of water is devoted to irrigation for agricultural production, and so it is in this area that efforts have to be focused to study possible interventions. Meeting and optimizing the consumption of water for irrigation also means making more resources available for drinking water and industrial use, and maintaining an optimal state of the environment. In this study we show the effectiveness of the combined use of numerical weather predictions and hydrological modelling to forecast soil moisture and crop water requirement in order to optimize irrigation scheduling. This system combines state of the art mathematical models and new technologies for environmental monitoring, merging ground observed data with Earth observations from space and unconventional information from the cyberspace through crowdsourcing.