Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward a practice-theoretical view of the situated nature of attention

In this paper, we examine how a practice-theoretical perspective may complement and expand the central tenet of the attention-based view (ABV) that attention is contextually situated. We put forward three main arguments. First, the components that make a practice possible and that locate it in history and context (practice architecture) also prefigure a situated horizon of relevance and possibilities (pragmatic field of attention). Attention thus often befalls organizational members outside the realm of discursive consciousness as a consequence of being engaged in socio-material practices. Second, attention is situated at the crossroads of multiple practices, each with its practice architecture and local pragmatic field of attention. Organizational attention implies tensions, conflict, and contradictions and emerges from the interaction and negotiation of multiple individual and group pragmatic fields of attention. Finally, attention is situated in the temporal dynamics of sustaining and turning attention. This allows us to distinguish between inattention, dysfunctional distraction, and potentially productive attention turning. We argue that by focusing on the ordinary and routinized nature of attention, a theoretical practice view complements and enriches the ABV by offering a less voluntarist and top-down view and proposing a richer view of situatedness. A practice-theoretical approach also distributes attention among a broader set of elements, offering resources to theorize how these elements are connected. The approach also establishes a link between paying attention and caring, thus bringing emotions back into the study of organizational attention. In turn, the ABV helps the practice-theoretical perspective to recognize the central role of attention in organizational matters and the importance of engaging in full with the organizational unit of analysis when dealing with attention-related issues.
Ratio of E to B mode power for galactic foreground

Recent Planck observations of dust-polarization in the Galaxy have revealed that the power in $E$ mode is twice than that in $B$ mode. Caldwell et. al. have formulated a theoretical model in the context of magnetohydrodynamic (MHD) turbulence and found it problematic to account for this result. In particular, they concluded that there is a very narrow range of theoretical parameters that could account for the observation. This poses a problem of whether the accepted description of MHD turbulence can apply to the interstellar medium. We revisit the problem and demonstrate that MHD turbulence corresponding to the high galactic latitudes range of Alfv\'en Mach numbers, i.e. $M_A\lesssim 0.5$, can successfully explain the available results for the $E$ to $B$ mode ratio.
Generalized Collective States and Their Role in a Collective State Atomic Interferometer and Atomic Clock

We investigate the behavior of an ensemble of N non-interacting, identical atoms, excited by a laser with a wavelength of λ. In general, the i-th atom sees a Rabi frequency Ωi, an initial position dependent laser phase φi, and a motion induced Doppler shift of δi. When Ωi = Ω and δi = δ for all atoms, the system evolves into a superposition of (N + 1) generalized symmetric collective states, independent of the values of φi. If φi = φ for all atoms, these states simplify to the well known Dicke collective states. When Ωi or δi is distinct for each atom, the system evolves into a superposition of symmetric as well as asymmetric collective states. For a large value of N , the number of asymmetric states (2 − (N + 1)) is far greater than that of the symmetric states. For a collective state atomic interferometer (CSAI) and a collective state atomic clock (CSAC) we recently proposed, it is important to understand the behavior of all the collective states under various conditions. In this paper, we show how to formulate the properties of all the collective states under various non-idealities, and use this formulation to understand the dynamics thereof. Specifically, for the case where Ωi = Ω and δi = δ for all atoms, we show how the amplitudes of each of the generalized collective states can be determined explicitly in a simple manner. For the case where Ωi or δi is distinct for each atom, we show how the symmetric and asymmetric collective states can be treated on the same footing. Furthermore, we show that the collective states corresponding to the absorption of a given number of photons can be visualized as an abstract, multi-dimensional rotation in the Hilbert space spanned by the ordered product states of individual atoms. We also consider the effect of treating the center of mass degree of freedom of the atoms quantum mechanically on the description of the collective states. In particular, we show that it is indeed possible to construct a generalized collective state, as needed for the CSAI, when each atom is assumed to be in a localized wave packet. The analysis presented in this paper is crucial to understanding the dynamics of both the CSAI and the CSAC, which in turn represent radically new developments in the area of opto-atomic metrology, with significant improvement in precision over the state of the art. Furthermore, it opens up new avenues for exploring reduction of quantum projection noise via spin squeezing.
MOBILE PROMOTION: PUSH-NOTIFICATION BY E-COMMERCE APPS, ARE YOU BEING IMPULSIVE WHEN YOU GET A PROMO?

had instant access to so many people, as more and more people use their phones as remotes for their everyday lives. As a result, marketing through mobile promotion can be a way for marketers to take advantage of this technology. One way to use mobile promotion can be done through push notifications to reach interaction and engagement with consumers. This study describes the effect of price discounts and scarcity on impulse buying tendencies which are moderated by the availability of money and availability of time. Data was collected from 236 respondents who are consumers of five e- commerce applications in Indonesia. In evaluating our proposed research, we used SEM to validate hypotheses, CFA and the Alpha Cronbach Coefficient to evaluate item validity and reliability. The results of the study show that discount prices and scarcity have a positive effect on impulse buying tendencies. Although discounts and scarcity have a positive effect on impulse buying tendencies, situational characteristics through availability of money and availability of time do not moderate the positive effect of impulse buying tendencies. These findings provide theoretical implications and understanding of patterns of impulse buying tendencies in mobile promotions through the use of push notifications.
Treatment Outcomes of Dolutegravir- Versus Efavirenz-Based Highly Active Antiretroviral Therapy Regimens Among Treatment-Naive People Living With HIV

Background: In India, following the implementation of the dolutegravir (DTG) based regimen, only a few studies compared the outcomes of DTG and efavirenz (EFV) based regimens. Therefore, this study aimed to assess virological suppression and gain in CD4+ counts of DTG and EFV-based antiretroviral therapy (ART) regimens. Methods: A retrospective study was conducted and the entire sample (n=140) was divided into two major classes as DTG group (n=70) and EFV group (n=70) further classified as tenofovir/lamivudine/dolutegravir (TLD) and tenofovir/lamivudine/efavirenz (TLE) regimen. Data was collected on socio-demographic characteristics, laboratory measures, and clinical and drug-related variables. For quantitative and qualitative data analysis, respectively, the T-tests and Chi-square tests were applied. Results: The mean CD4+ gain was comparable in both regimens after six months of ART but significant after 12 months of ART in the TLD group. Viral load suppression was achieved in 55.71% of clients in the TLE group after six months of ART while in the TLD group, 88.57% of clients achieved virologic suppression which was highly significant. Clients who remained on the DTG-based regimen gained significantly more weight at 12 months (mean +6.15 kg) as compared to the EFV-based regimen (mean +1.85 kg). After 12 months of ART, the majority of laboratory variables were unaffected by either regimen with the exception of serum creatinine and random blood sugar (RBS) in the TLD group. Conclusions: Our study provides real-life evidence of better outcomes of therapy with DTG over EFV in terms of viral load suppression but immunologic recovery is equivalent in EFV-based regimens after six months of treatment. We recommend the use of DTG only in clients with a high baseline viral load as it costs approximately twice as much as EFV when cost-effectiveness is taken into account.
Targeting Prostate Cancer, the ‘Tousled Way’

Androgen deprivation therapy (ADT) has been the mainstay of prostate cancer (PCa) treatment, with success in developing more effective inhibitors of androgen synthesis and antiandrogens in clinical practice. However, hormone deprivation and AR ablation have caused an increase in ADT-insensitive PCas associated with a poor prognosis. Resistance to ADT arises through various mechanisms, and most castration-resistant PCas still rely on the androgen axis, while others become truly androgen receptor (AR)-independent. Our research identified the human tousled-like kinase 1 (TLK1) as a crucial early mediator of PCa cell adaptation to ADT, promoting androgen-independent growth, inhibiting apoptosis, and facilitating cell motility and metastasis. Although explicit, the growing role of TLK1 biology in PCa has remained underrepresented and elusive. In this review, we aim to highlight the diverse functions of TLK1 in PCa, shed light on the molecular mechanisms underlying the transition from androgen-sensitive (AS) to an androgen-insensitive (AI) disease mediated by TLK1, and explore potential strategies to counteract this process. Targeting TLK1 and its associated signaling could prevent PCa progression to the incurable metastatic castration-resistant PCa (mCRPC) stage and provide a promising approach to treating PCa.
The stability of the dome of a liquid bubble rising in a dense liquid

The results of experiments researching the stability of the dome of a large water bubble rising in a salt solution are presented. The experiments demonstrate the suppression of the Rayleigh–Taylor instability on the dome of the rising bubble with the Atwood number being A ≪ 1. The intensive development of the Kelvin–Helmholtz instability on the lateral surface of the bubble is observed as it rises. The stability of the dome of the rising bubble is explained by the action of an accelerated shear flow of water over the bubble surface. The results of computational modeling of the problem by the STAR-CCM + program are presented.
Maximum Power Point Extraction in PV Array Under Partial Shading Conditions Using GWO-Assisted Beta Method

This paper presents a hybrid maximum power point tracking (MPPT) algorithm, which combines the grey wolf optimization (GWO) technique and Beta method for extraction of maximum power from a photovoltaic (PV) system operating under partial shading conditions. The proposed algorithm named GWO-Beta-based MPPT uses the GWO technique to achieve the global maximum power point (GMPP), while, simultaneously, the MPPT reference using Beta method is calculated according to the PV voltage and current at GMPP. After that, the MPPT algorithm is switched to operate only with the Beta method that keeps tracked on the MPP reference, guarantying the GMPP in that specific operation point. By means of computational simulation results, the performance of the proposed MPPT algorithm is evaluated taking into account the convergence speed and power oscillations to achieve the GMPP.
Pengaruh Marketing Influencer, Trend Fashion Muslim, Gaya Hidup Terhadap Perilaku Konsumtif Mahasiswa

Penelitian ini bertujuan untuk mengetahui dan menguji pengaruh marketing influencer, trend fashion muslim, dan gaya hidup terhadap perilaku konsumtif pada mahasiswa Universitas Muhammadiyah Yogyakarta. Penelitian ini merupakan penelitian kuantitatif. Data primer yang digunakan berupa kuisioner dengan jumlah sampel sebanyak 132 responden. Teknik pengambilan sampel menggunakan teknik non-probability sampling dengan metode purposive sampling. Analisis data yang digunakan adalah uji measurement model dan uji structural model dengan bantuan program SmartPLS 3.0 pada sitem operasi Windows. Hasil penelitian ini menunjukkan bahwa gaya hidup berpengaruh positif dan signifikan terhadap perilaku konsumtif mahasiswa Universitas Muhammadiyah Yogyakarta, marketing influencer dan trend fashion muslim tidak berpengaruh terhadap
PROCALCITONINA COMO FERRAMENTA DE GERENCIAMENTO DE ANTIMICROBIANOS EM PACIENTES COM COVID-19

RESUMO: Objetivo: investigar a relação da procalcitonina no diagnóstico diferencial de coinfecção bacteriana em pacientes com Covid-19. Método: estudo transversal retrospectivo, realizado em unidade de terapia intensiva em hospital público do sul do Brasil, entre fevereiro e março de 2021, mediante formulário. Realizaram-se análises estatísticas descritivas e de associação entre variáveis. Resultados: dos 231 pacientes, 28,14% apresentaram infecção, 63,20% de sítio pulmonar, em 25% ocorreu isolamento de bactérias, 77,49% utilizaram antimicrobianos e em 14,72% dos casos foi observada procalcitonina > dois ng/mL. Houve associação significativa entre uso de antimicrobiano e infeção (p=0,001), isolamento de bactérias (p<0,001), topografia da infeção (p<0,001), valores de procalcitonina (p<0,001). O uso da procalcitonina mostrou associação com infeção bacteriana (p<0,001), isolamento de bactéria (p<0,001), uso de antimicrobianos (p=0,001), e óbito (p<0,001). Conclusão: a procalcitonina pode reduzir o uso empírico de antimicrobianos e estimular a detecção e identificação de patógenos, levando em consideração os dados clínicos e epidemiológicos.
Output-feedback anti-disturbance consensus for multi-agent systems with application to secondary voltage regulation for microgrids

This paper investigates a distributed finite-time consensus problem for second-order multi-agent systems (MASs) with disturbances and unmeasurable states. Output-feedback anti-disturbance consensus protocols are designed by finite-time observer (FTO) methods and the nonsingular integral terminal sliding-mode control (NITSMC). Some FTOs are first introduced for the agents to estimate the disturbances and unmeasurable states together. Then, the nonsingular integral terminal sliding-mode surfaces are proposed, based on which consensus protocols are proposed. Moreover, the consensus methods are also applied to microgrids (MGs). Based on MG systems, output voltages achieve consensus through secondary regulation. Simulations verify the effectiveness.
Antenna design based on quasi‐degenerate characteristic modes of unbroken metal rim

A simple and efficient antenna technique for both single antenna and multiple-input multiple-output (MIMO) antenna design utilising an unbroken metal rim is analysed in the frequency band <1 GHz for mobile phone applications. A 110 mm × 55 mm × 5 mm unbroken metal rim has two characteristic modes (Modes 1 and 2) that resonate around 1 GHz, and these two modes are quasi-degenerate and orthogonal to each other. An uncontacting feeding structure is proposed to excite and utilise the characteristic modes of the unbroken metal rim for antenna radiation. In MIMO antenna design, it is possible to achieve high isolation and good diversity performance by properly exciting orthogonal modes with the proposed feeding technique. Two different cases for MIMO designs are presented to verify the feasibility of the proposed technique. In both two cases, the simulated isolation is ∼10 dB, and the 3:1 VSWR bandwidths for the MIMO antennas are wider than 150 and 60 MHz, respectively. The measured results show that the envelope correlation coefficients for each case are <0.2, indicating good diversity performance. The measured radiation patterns for the two MIMO antennas are orthogonal, again verifying the diversity performance.
A Framework to Forecast Insurance Claims

For an insurance company, the forecasting of claims is central to a successful operation. This process can be divided into multiple subtasks. Data preparation, dimensionality reduction, classification, forecasting and evaluation. This research applies three dimensionality reduction techniques: variable elimination, reduction through a decision forest and multiple correspondence analysis. After dimensionality reduction, classification is used to determine the probability of issuing a claim for an observation to be predicted. Four classification techniques are used: a decision tree, a random forest, a binary logistic regression and a support vector machine. Once the probability of issuing a claim is estimated, it needs to be transformed into a predicted claim amount. As a benchmark, a naive model, called the ratio model, is used. This model uses ratios of risk groups with respect to the base premium to determine the final premium. For the evaluation of the models, classification measures, error measures and the normalized Gini coefficient are used. The results show that dimensionality reduction is not necessarily needed for this problem and that simple techniques, such as a decision tree or random forest, outperform the more statistically advanced techniques, such as a support vector machine, on out-of-sample results.
Application of Hurst Exponent (H) and the R/S Analysis in the Classification of FOREX Securities

This paper presents the relationship between the Hurst Exponent (H) and the Rescaled Range Analysis (R/S) in the classification of Foreign Exchange Market (FOREX) time series by the supposition of the existence of a Fractal Market in an alternative to the traditional theory of Capital Markets. In such a way, the Hurst Exponent is a metric capable of providing information on correlation and persistence in a time series. Many systems can be described by self-similar fractals as Fractional Brownian Motion, which are well characterized by this statistic.
Target Selection Strategies for Demucs-Based Speech Enhancement

The Demucs-Denoiser model has been recently shown to achieve a high level of performance for online speech enhancement, but assumes that only one speech source is present in the fed mixture. In real-life multiple-speech-source scenarios, it is not certain which speech source will be enhanced. To correct this issue, two target selection strategies for the Demucs-Denoiser model are proposed and evaluated: (1) an embedding-based strategy, using a codified sample of the target speech, and (2) a location-based strategy, using a beamforming-based prefilter to select the target that is in front of a two-microphone array. In this work, it is shown that while both strategies improve the performance of the Demucs-Denoiser model when one or more speech interferences are present, they both have their pros and cons. Specifically, the beamforming-based strategy achieves overall a better performance (increasing the output SIR between 5 and 10 dB) compared to the embedding-based strategy (which only increases the output SIR by 2 dB and only in low-input-SIR scenarios). However, the beamforming-based strategy is sensitive against the location variation of the target speech source (decreasing the output SIR by 10 dB if the target speech source is located only 0.1 m from its expected position), which the embedding-based strategy does not suffers from.
Relating Maxwell’s demon and quantitative analysis of information leakage for practical imperative programs

Shannon observed the relation between information entropy and Maxwell demon experiment to come up with information entropy formula. After that, Shannon’s entropy formula is widely used to measure information leakage in imperative programs. But in the present work, our aim is to go in a reverse direction and try to find possible Maxwell’s demon experimental setup for contemporary practical imperative programs in which variations of Shannon’s entropy formula has been applied to measure the information leakage. To establish the relation between the second principle of thermodynamics and quantitative analysis of information leakage, present work models contemporary variations of imperative programs in terms of Maxwell’s demon experimental setup. In the present work five contemporary variations of imperative program related to information quantification are identified. They are: (i) information leakage in imperative program, (ii) imperative multithreaded program, (iii) point to point leakage in the imperative program, (iv) imperative program with infinite observation, and (v) imperative program in the SOA-based environment. For these variations, minimal work required by an attacker to gain the secret is also calculated using historical Maxwell’s demon experiment. To model the experimental setup of Maxwell’s demon, non-interference security policy is used. In the present work, imperative programs with one-bit secret information have been considered to avoid the complexity. The findings of the present work from the history of physics can be utilized in many areas related to information flow of physical computing, nano-computing, quantum computing, biological computing, energy dissipation in computing, and computing power analysis.
Clinical impact of serum hemoglobin A1c and insulin levels in terms of postoperative complications in the nondiabetic patients with non-small cell lung cancer

Background: Hemoglobin A1c and insulin levels are important parameters to indicate glucometabolic status of the patients. It is important to understand major changes in glycometabolic status so as to predict postoperative complications. In this study, we aim to assess the impact of serum hemoglobin A1c and insulin levels on postoperative morbidity in lung cancer patients. Materials and Methods: Between 2018 and 2019, 100 consecutive nondiabetic patients who underwent lung resection via thoracotomy with the indication of NSCLC were included in the study. Preoperatively all patients routinely underwent computed tomography and positron emission tomography (PET/CT), cranial magnetic resonance imaging (MRI) and pulmonary function and DLCO (Diffusing Capacity for Carbon Monoxide) tests. Preoperatively blood HbA1c, and fasting insulin levels of all patients were measured. Age, gender, BMI, insulin, HbA1c levels and postoperative complications were evaluated. Results: The higher incidence of postoperative complications was found to be related to patients with higher insulin (46.8 mIU/L vs 16.9 mIU/L, p=0.001) and HbA1c (6.22% vs 5.46%; p=0.001) levels compared with those with normal levels In patients who underwent redo surgery to treat hemorrhagic complications, higher insulin and HbA1c levels were observed (61 mIU/L, and 6.54 %, respectively , p=0.001). HbA1c and insulin levels were also higher in cases with prolonged air leak (44.7 mIU/L, and 6.25%, respectively; p=0.001). Bronchopleural fistula was observed in three patients with high insulin and HbA1c levels (60.3 mIU/L, and 6.23%, respectively; p=0.001). Conclusion: Preoperative HbA1c and fasting insulin levels are important parameters to predict postoperative morbidity in lung cancer patients.
Resource Allocation for UAV-Assisted Wireless Powered D2D Networks With Flying and Ground Eavesdropping

UAV-assisted wireless power transfer D2D networks have great potential to improve flexibility, spectrum efficiency and lifetime of future wireless networks. We consider an unmanned aerial vehicle (UAV)-assisted wireless powered device-to-device (D2D) wireless communication network in the presence of ground and flying eavesdroppers. We design optimization algorithms to allocate the resources of the network and maximize the secrecy energy efficiency (SEE) by optimizing energy harvesting time and power allocation. The effectiveness and viability of proposed algorithms are illustrated through numerical simulations.