Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Thriving and Determinants of Adaptive Performance: A Moderated Mediated Model in the Health Sector of Pakistan

Changes in organizational architecture (e.g., a change toward team-based management, downsizing) and technology innovation are becoming more complicated difficulties that workers must deal with. Opportunities and changing environmental demands that are required by the workers to adopt otherwise work processes have become less formalized. Finding and locating the “right person for the right job” has become extremely necessary for organizations. Nevertheless, who is the “right” choice? How should the capabilities of the employees be unbridled by the organization? Imprecise human solutions and uncertainty can lead which is a predicament. This study examined the determinants of adaptive performance in the healthcare sector of Pakistan. Also, examined the mediating role of the thriving and moderating role of psychological capital. Data were collected from 420 doctors working in private and government hospitals having experience in middle-level and upper-level management based on the convenience sampling technique. Statistical software SPSS and SMART PLS were used for data analysis. Results validates the hypothesis and question for the research to achieve the aims of the study. Based on the findings for direct and indirect hypothesized relationships found strong empirical support. This research contributes to a more in-depth understanding of the constructs, Abusive supervision, Workplace Incivility, Pro-Social Motivation, Thriving, Psychological Capital, and Adaptive Performance. Limitations suggested some guidelines for future studies. Research implications (theoretical and practical) were provided.
Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations

Quantification of the global irrigation water use (IWU) is crucial to understanding the anthropogenic disturbance of the natural hydrological cycle and optimal agricultural water management. However, it is challenging to obtain time series data with the conventional survey‐based approach, while the current satellite‐based IWU estimations are subject to data gaps and the model structure. In this paper, we propose a comprehensive framework to couple the different processes associated with irrigation and integrate multiple satellite observations to estimate the global IWU. The ensemble IWU estimate demonstrates an improved performance when compared to the IWU obtained from individual satellite observations. The results show reasonable correlation with the survey‐based irrigation water withdrawal in states of the US (bias = −0.42 km3), provinces of China (bias = −3.10 km3), and country statistics from the Food and Agriculture Organization (bias = −10.84 km3). Large amounts of IWU are apparent in India, China, the US, Europe, and Pakistan, making up >70% of the global IWU. A general underestimation of IWU is found both in this work and previous studies, due to the coarse resolution and asynchronism of the various satellite products, the changes in irrigated areas, and the deficiency in detecting irrigation events under the case of saturated soil moisture. Nevertheless, we demonstrate advantages in integrating multiple satellite observations to reduce the uncertainty in estimating global IWU. However, additional efforts are needed to produce high‐quality and finer spatiotemporal resolution satellite‐based products, to further improve the accuracy of the global IWU estimation.
Hybrid Attitude Controller Design for a Rigid Spacecraft with Angular Velocity Constraint

In this work, we propose a solution to the attitude tracking problem for a rigid spacecraft with full torque actuation and angular velocity constraint. Under some reasonable assumptions, by employing the backstepping of hybrid feedback laws, a quaternion-based attitude tracking controller is designed such that the spacecraft is able to track the desired attitude. A barrier Lyapunov function is introduced to ensure that the angular velocity always stays within a predefined bounded range. At last, simulation results are provided and analyzed to demonstrate the effectiveness of the proposed strategy.
Over kwaliteitsborging van datagedreven controlemethodologie

Dit artikel geeft een beschouwing over de ontwikkeling van innovaties in de controlemethodologie. Allereerst wordt een literatuuronderzoek uitgevoerd, waarin lessen uit het verleden en het heden aan de orde komen. Vervolgens wordt het Systems engineering management raamwerk beschreven en toegepast op de innovatieprocessen van accountants. Conclusies uit beide analyses zijn dat er meer aandacht moet zijn voor de behoeften van assurance-gebruikers, de theorievormingsfase van de controlemethodologie en de implementatie van het kwaliteitsbeheersingssysteem. Het Systems engineering management raamwerk biedt goede handvatten om de kwaliteit van het innovatieproces en de controlemethodologie te borgen.
Oxygen-Sensitive Metalloprotein Structure Determination by Cryo-Electron Microscopy

Metalloproteins are involved in key cell processes such as photosynthesis, respiration, and oxygen transport. However, the presence of transition metals (notably iron as a component of [Fe-S] clusters) often makes these proteins sensitive to oxygen-induced degradation. Consequently, their study usually requires strict anaerobic conditions. Although X-ray crystallography has been the method of choice for solving macromolecular structures for many years, recently electron microscopy has also become an increasingly powerful structure-solving technique. We have used our previous experience with cryo-crystallography to develop a method to prepare cryo-EM grids in an anaerobic chamber and have applied it to solve the structures of apoferritin and the 3 [Fe4S4]-containing pyruvate ferredoxin oxidoreductase (PFOR) at 2.40 Å and 2.90 Å resolution, respectively. The maps are of similar quality to the ones obtained under air, thereby validating our method as an improvement in the structural investigation of oxygen-sensitive metalloproteins by cryo-EM.
Value of UGT2B7-161 Single Nucleotide Polymorphism in Predicting the Risk of Cardiotoxicity in HER-2 Positive Breast Cancer Patients Who Underwent Pertuzumab Combined with Trastuzumab Therapy by PSL

Objective To explore the value of uridine diphosphate-glucuronosyltransferase 2B7 (UGT2B7)-161 single nucleotide polymorphism in predicting the occurrence of cardiotoxicity in Chinese human epidermal growth factor 2 (HER-2) positive breast cancer patients who underwent pertuzumab combined with trastuzumab Therapy. Methods Fifty patients with HER-2 positive breast cancer who planned to receive trastuzumab and pertuzumab therapy for more than four cycles were enrolled in this study, and blood samples were collected. Thirty healthy volunteers of matching ages were selected as the control group. Myocardial parameters such as global work index, global effective work, and global wasted work were measured before treatment (M0) and at the end of four cycles of treatment month three (M3). Blood samples were collected from patients at the M0 stage, and polymorphisms of the UGT2B7-161 gene were detected to evaluate the predictive ability of different gene phenotypes on the myocardial drug toxicity injury. Results There were 35 myocardial work decreased events among 50 patients. There were 24 (47.3%), 15 (40.8%), and 11 (11.8%) patients carrying UGT2B7-161 CC, CT, and TT genotypes, respectively. The occurrence of myocardial work decreased was decreased in UGT2B7-161 TT and CT genotypes (12.5%) compared with CC genotype (41.7%) with statistical significance (P < 0.001). Multivariate logistic regression model analysis exhibited that UGT2B7-161 genotypes, body mass index, and cardiac troponin I were independent factors influencing the risk of cardiotoxicity. Conclusion UGT2B7-161 single nucleotide polymorphism is a potential predictive factor for cardiotoxicity in HER-2 positive breast cancer patients receiving trastuzumab and pertuzumab dual-targeted drug therapy.
Soft Colloidal Particles at Fluid Interfaces

The assembly of soft colloidal particles at fluid interfaces is reviewed in the present paper, with emphasis on the particular case of microgels formed by cross-linked polymer networks. The dual polymer/colloid character as well as the stimulus responsiveness of microgel particles pose a challenge in their experimental characterization and theoretical description when adsorbed to fluid interfaces. This has led to a controversial and, in some cases, contradictory picture that cannot be rationalized by considering microgels as simple colloids. Therefore, it is necessary to take into consideration the microgel polymer/colloid duality for a physically reliable description of the behavior of the microgel-laden interface. In fact, different aspects related to the above-mentioned duality control the organization of microgels at the fluid interface, and the properties and responsiveness of the obtained microgel-laden interfaces. This works present a critical revision of different physicochemical aspects involving the behavior of individual microgels confined at fluid interfaces, as well as the collective behaviors emerging in dense microgel assemblies.
Near-threshold all-digital PLL with dynamic voltage scaling power management

A near-threshold all-digital phase-locked loop (ADPLL) with a power management unit (PMU) is presented to make the proposed ADPLL work reliably across variations and power consumption as well is reduced. When operated under near-threshold condition from 0.52 to 0.58 V V DD , the gated digitally controlled oscillator frequency range is from 90.8 to 245.7 MHz. When the ADPLL is operated at 0.52 V V DD , a lock-in time of 9.5 μs at 100 MHz output clock frequency is measured with an rms period jitter of 0.17% UI. With the PMU, the ADPLL power reduction at 130 MHz output frequency is 39% and the buck converter power consumption is nearly 30 μW. Consequently, the proposed ADPLL with PMU is suitable to event-driven or low-voltage applications.
Exploring the Mechanisms Underlying the Effectiveness of Psychosocial Aftercare in Pediatric Chronic Pain Treatment: A Qualitative Approach

A newly developed specialized psychosocial aftercare program (PAC) for pediatric patients with chronic pain following an intensive interdisciplinary pain treatment (IIPT) was found to be significantly more effective than IIPT alone. This qualitative study aimed to gain further insight into the mechanisms and prerequisites for the effectiveness of this specialized aftercare program. We conducted structured telephone interviews with patients, parents, and health care professionals conducting PAC. A total of 16 interviews were conducted—seven interviews with parents, six interviews with patients, and three interviews with health care professionals—and transcribed verbatim. Data were analyzed using reflexive thematic analysis. Four major themes consisting of 20 subcategories were identified, namely (1) frame conditions, (2) person factors, (3) stabilization and (4) catalyst. The foundations of treatment success are frame conditions, such as flexibility or constancy, and person factors, such as respect or expertise. Based on these foundations, stabilization is achieved through security, mediation, orientation and support. Altogether, these components of PAC reveal their potential as catalysts for further improvement even after discharge from IIPT. Overall, patients and their families emphasized widespread personal relevance and acceptance of the PAC program. The findings of this study may be employed in the development of other aftercare programs or interventions involving families in the context of psychotherapeutic and psychosocial health care.
Salinity Modulates Juncus acutus L. Tolerance to Diesel Fuel Pollution

Soil contamination with petroleum-derived substances such as diesel fuel has become a major environmental threat. Phytoremediation is one of the most studied ecofriendly low-cost solutions nowadays and halophytes species has been proved to have potential as bio-tools for this purpose. The extent to which salinity influences diesel tolerance in halophytes requires investigation. A greenhouse experiment was designed to assess the effect of NaCl supply (0 and 85 mM NaCl) on the growth and photosynthetic physiology of Juncus acutus plants exposed to 0, 1 and 2.5% diesel fuel. Relative growth rate, water content and chlorophyll a derived parameters were measured in plants exposed to the different NaCl and diesel fuel combinations. Our results indicated that NaCl supplementation worsened the effects of diesel toxicity on growth, as diesel fuel at 2.5% reduced relative growth rate by 25% in the absence of NaCl but 80% in plants treated with NaCl. Nevertheless, this species grown at 0 mM NaCl showed a high tolerance to diesel fuel soil presence in RGR but also in chlorophyll fluorescence parameters that did not significantly decrease at 1% diesel fuel concentration in absence of NaCl. Therefore, this study remarked on the importance of knowing the tolerance threshold to abiotic factors in order to determine the bioremediation capacity of a species for a specific soil or area. In addition, it showed that NaCl presence even in halophytes does not always have a positive effect on plant physiology and it depends on the pollutant nature.
TinyOS: An Operating System for Wireless Sensor Networks

TinyOS is an open-source, flexible and application-specific operating system for wireless sensor networks. Wireless sensor network consists of a large number of tiny and low-power nodes, each of which executes simultaneous and reactive programs that must work with strict memory and power constraints. The wireless sensor network’s challenges of event-centric concurrent applications, limited resources and low-power operation impel the design of TinyOS. TinyOS meets these challenges and has become the platform of choice for sensor network research. It is very prevalent in sensor networks these days and supports a broad range of applications and research topics.
Effect of Intravenous Alteplase on Functional Outcome and Secondary Injury Volumes in Stroke Patients with Complete Endovascular Recanalization

Intravenous thrombolytic therapy with alteplase (IVT) is a standard of care in ischemic stroke, while recent trials investigating direct endovascular thrombectomy (EVT) approaches showed conflicting results. Yet, the effect of IVT on secondary injury volumes in patients with complete recanalization has not been analyzed. We hypothesized that IVT is associated with worse functional outcome and aggravated secondary injury volumes when administered to patients who subsequently attained complete reperfusion after EVT. Anterior circulation ischemic stroke patients with complete reperfusion after thrombectomy defined as thrombolysis in cerebral infarctions (TICI) scale 3 after thrombectomy admitted between January 2013–January 2021 were analyzed. Primary endpoints were the proportion of patients with functional independence defined as modified Rankin Scale (mRS) score 0–2 at day 90, and secondary injury volumes: Edema volume in follow-up imaging measured using quantitative net water uptake (NWU), and the rate of symptomatic intracerebral hemorrhage (sICH). A total of 219 patients were included and 128 (58%) patients received bridging IVT before thrombectomy. The proportion of patients with functional independence was 28% for patients with bridging IVT, and 34% for patients with direct thrombectomy (p = 0.35). The rate of sICH was significantly higher after bridging IVT (20% versus 7.7%, p = 0.01). Multivariable logistic and linear regression analysis confirmed the independent association of bridging IVT with sICH (aOR: 2.78, 95% CI: 1.02–7.56, p = 0.046), and edema volume (aOR: 8.70, 95% CI: 2.57–14.85, p = 0.006). Bridging IVT was associated with increased edema volume and risk for sICH as secondary injury volumes. The results of this study encourage direct EVT approaches, particularly in patients with higher likelihood of successful EVT.
GESTÃO DAS INFORMAÇÕES E DO CONHECIMENTO EM ORGANIZAÇÕES PÚBLICAS: UMA APLICAÇÃO DO MODELO DE EXCELÊNCIA EM GESTÃO PÚBLICA

Brazil is currently experiencing a moment of economic growth in which organizations are seeking new strategies based on integrated management models that allow them to become competitive globally. Therefore, public organizations have the need to implement new management systems, inspired on private initiative developments in order to satisfactorily meet the requirements of their internal and external users, such as GESPUBLICA program. This paper presents the results of a research project that tried to assess the degree of adhesion of CREA-RN to “Information and Knowledge” management, based on the Excellence in Public Management Model (MEG), adopted by the GESPUBLICA program. The methodological procedures involved the application of questionnaires based on items that comprise criterion 5 of the Public Management Evaluation Instrument (IAGP). Results show that the organization has technologies with strategic potential based on the efficient use of information systems and capable of promoting a culture of excellence. Knowledge is absorbed and validated in the organization, although there is restricted access to many processes and the information available in an integrated management system prevents employees to develop a participatory management environment, conductive to increasing productivity in the use of technology and to the achievement of the desired excellence.
Adaptive Arbitration for Minimal Intervention Shared Control via Deep Reinforcement Learning

In shared control, humans and intelligent robots jointly complete real-time control tasks with their complementary capabilities for improved performance unavailable by neither side on its own, which is attracting more and more attentions in recent years. Arbitration, as an indispensable part of shared control, determines how control authority is allocated between the human and robot, and the definition of that policy has always been one of the fundamental problems. In this paper, we propose an adaptive arbitration method for shared control systems, which minimizes the deviation from the human inputs while ensuring the system performance based on deep reinforcement learning. We provide humans the maximum assistance with the minimal intervention, in order to balance human’s need for control authority and need for performance. We apply our method to real-time control tasks, and the results show that our method achieves high task success rate and shorter task completion time with less human workload, while maintaining higher human satisfaction.
Effects of hydroxylation on the acidic and basic strengths of anatase TiO2 surfaces

ABSTRACT Titanium dioxide (TiO2) is one of prototype, water-splitting catalysts, while its catalytic performance is strongly affected by the presence of water molecules or hydroxyl groups on the surface. The adsorption of water on the TiO2(101) and TiO2(001) surfaces at different water/hydroxyl coverages was firstly studied using density functional theory (DFT) calculations. It has been found that the surface hydroxylation state has a significant influence on water adsorption behaviour. On the basis of calculated Gibbs free surface energies as a function of temperature and hydroxylation extent, the fully dehydrated TiO2(101) and TiO2(001) surfaces will be reached at 500 and 1000 K, respectively. In the present work, BF3 and NH3 were used as probe molecules to study the Lewis acidic and Brønsted basic strengths of TiO2(101) and TiO2(001) surfaces under different hydroxylation conditions. As the hydroxyl coverage increases, the Brønsted basic strength becomes stronger while the Lewis acidic strength is weakened. Finally, it is noted that the TiO2 surface is slightly oxidised at low hydroxyl coverage but being reduced at high hydroxyl coverage.
Emergency Nursing-Care Patient Satisfaction Scale (Enpss): Development and Validation of a Patient Satisfaction Scale with Emergency Room Nursing

This study aimed to develop and validate an emergency nursing-care patient satisfaction scale to measure patient satisfaction with emergency room (ER) nursing. Patient satisfaction scales for ER nursing have been validated without considering the perspectives of the healthcare system or cultural background of the country. Moreover, although nursing care is changing with COVID-19, no scale has been specifically designed to assess patient satisfaction with ER nursing. The study population included patients who visited five ERs in Japan (March to December 2021) (n = 135). The rating scales were provided to patients who visited the ER and gave consent, and the patients were asked to reply. In the process of validating the scale, exploratory and confirmatory factor analyses of the construct and criterion validity were conducted. The confirmatory factor analysis results showed a factorial structure consisting of four factors. The domain and summary scores demonstrated good-to-excellent internal reliability (Cronbach’s range = 0.81–0.89). This patient satisfaction scale was designed and validated from the perspective of the Japanese healthcare system and cultural backgrounds. This scale may be useful for developing assessments and interventions to improve patient satisfaction with ER nursing.
Advanced Acoustic Emission (AE) monitoring techniques for aerospace structures

This thesis contains the development of advanced Acoustic Emission (AE) monitoring techniques for aerospace structures. The techniques developed in this work explore AE’s ability to detect, locate and characterise signals. Experimental studies were conducted on a range of structures made from typical aerospace materials, including carbon fibre composite, GLARE and high grade steel; and the data collected from these studies was processed using the newly developed AE techniques, in order to determine their effectiveness. The work was divided into three main areas of research: 1. AE Source Location A location test was conducted on a GLARE fuselage panel specimen with complex geometric features in order to test the effect that altering the training grid resolution has on the accuracy of the delta-T mapping location technique. Delta-T mapping yielded more accurate results than the conventional Time of Arrival (TOA) method and the development of this technique formed the basis from which AE signals could be confidently located. 2. Damage Identification A fatigue test was conducted on a pre-notched, 300M grade steel, cantilevered beam which was monitored using both AE and Digital Image Correlation (DIC) during loading. The work considered the detection and tracking of fatigue crack growth. A novel form of data acquisition and analysis called an Additive Hits Analysis (AHA) was proposed and developed. The AHA provided a similar result to a conventional wavestreaming approach which was also used, though it did so in a much more streamlined manner. Specific delta-T mapping located signals were used to determine the frequency bands of interest for the cracking process to be tracked. DIC was noted as being a useful tool for validation of AE testing. 3. Characterisation on Large Scale Specimen A buckling test was conducted on a large-scale carbon fibre composite specimen which was monitored using AE and DIC. The work focused on the detection, location and characterisation of signals occurring in the specimen due to the applied loading. An ultrasonic C-scanner was used to quantify the damage which occurred in the specimen and this was found to be a useful tool for validation. A novel form of the modal analysis technique Measured Amplitude Ratio (MAR) called Automated Corrected MAR was developed. The new method was found to be able to successfully distinguish between in and out-of-plane signals arising in the specimen during the test whilst also providing time saving benefits over conventional methods. The combination of delta-T mapping with the Automated Corrected MAR results proved useful to the analysis.