Miracle-dz/UniFAR-FTUs huggingface dataset:
Amniotic membrane transplantation in ocular surface diseases

Abstract Objective: To evaluate the clinical effectiveness of amniotic membrane transplantation for ocular surface reconstruction. Methods: Prospective study including 23 eyes of 21 patients who underwent amniotic membrane transplantation at Hospital de Clinicas da Universidade Federal do Parana (HC-UFPR) and at Cirurgia e Diagnose em Oftalmologia do Parana (CDOP) clinic, located in Curitiba, PR, Brazil, from may 2015 to july 2019. The amniotic membrane was collected from elective and term cesarean delivery, and conserved in preservation medium and glycerol 1:1, stored at -80° Celsius. The membrane was fixed on the ocular surface with 10-0 nylon, 8-0 vicryl, biological glue or a combination of these materials. Results: The ocular surface reconstruction was successful in 22 eyes (95.6%). Failure was observed only in 1 case (bullous keratopathy) in which the condition was maintained postoperatively. Patients' age ranged from 11-82 years, with a mean age of 37.4 years. There was a higher incidence in males (66.6%). A difference was perceived in the distribution of the affected eye (which was greater in the right eye - 65.2%). As for the previous ophthalmic surgery history, 12 of the 23 eyes had a positive history (52.2%). It was observed that all patients who had preoperative visual acuity assessed showed improvement or maintenance of corrected visual acuity. In the postoperative period, complications associated with the underlying disease were observed, although not particularly related to the amniotic membrane transplantation. There were not any cases of postoperative infection. Conclusions: There was an improvement in the general state of the ocular surface in almost all of the cases in which the transplant was performed. Therefore, the amniotic membrane can be considered a good alternative for reconstructing the ocular surface, as a single or supporting treatment.
Emergency Peripartum Hysterectomy at Sultan Qaboos University Hospital in Oman: A Nine-Year Study

Objective : To study risk factors, incidence, indications, and maternal and perinatal complications in women undergoing emergency peripartum hysterectomy (EPH) at Sultan Qaboos University Hospital (SQUH) in Oman. Method : This is a retrospective study reviewing all cases of EPH performed at SQUH between January 2007 and December 2016. Results : During the nine-year study period, there were 18 cases of EPH. Since the total number of deliveries in the same period was 32,963, the incidence of EPH was 0.55 per 1,000 deliveries. Of all cases of EPH, 13 (72.2%) were cesarean hysterectomies compared with five (27.8%) postpartum hysterectomies. Twelve cases (66.7%) were total hysterectomies and six (33.3%) were subtotal. The most common risk factor for EPH was placenta previa and accreta with previous cesarean section (CS) (27.6%), followed by previous CS without placenta previa (24.1%). The most common indication for EPH was placenta previa and accreta (44.4%), and previous CS (16.7%). During the study period, only one maternal death occurred (5.6%), and there were no stillbirths or early neonatal deaths. There were four cases of bladder injury (22.2%). Women aged 34–35 years and para > 5 had the highest incidence of EPH (50.0%). Conclusion : To reduce the incidence of EPH and its catastrophic consequences, we need to identify high-risk cases antenatally and potential cases for EPH should be booked early during pregnancy and managed throughout pregnancy and delivery at a tertiary hospital by an experienced team.
An Analysis of Muzaki ’s Behavior in Paying Zakat Mal and Factors Influencing It: The Perspective of The Theory of Planned Behavior

This study seeks to explore factors influencing the behavior of muzaki in paying zakat mal by applying the Theory of Planned Behavior. Referring to Theory of Planned Behavior, attitudes, subjective norms, behavioral controls, and intention influence the behavior of muzaki in paying zakat mal. This study was carried out to permanent muzaki registered at the legal Amil Zakat Institutions in Ponorogo Regency. This quantitative study used primary data in the form of questionnaires. The population in this study is permanent muzaki registered at the Amil Zakat Institutions in Ponorogo Regency such as LazisMu, Yatim Mandiri, and LAZ Baitul Maal Hidayatullah. Involving 80 respondents, the sampling technique used was saturation sampling, in which all members of the population are taken. Performing the SmartPLS 3.0, data analysis includes the Measurement Model (Outer Model) and Structural Model (Inner Model). The results show that the variable of Attitude and Behavioral Control have a positive and significant influence on the intention of muzaki in paying zakat mal, while the variable of Subjective Norms did not affect the intention of muzaki paying zakat mal. The variable of Intention shows a significant influence on the behavior of muzaki paying zakat mal.
Exact Response-Time Bounds of Periodic DAG Tasks under Server-Based Global Scheduling

Artificial-intelligence (AI) techniques are revolutionizing modern safety-critical real-time systems by enabling autonomous features never seen before. However, AI-based workloads are typically expressed as processing graphs that are subject to complex tradeoffs involving parallelism and dataflow dependencies. Due to such complexities, exact analysis of graph-based tasks is challenging under most (if not all) schedulers. This paper presents a periodic server-based scheduling policy for periodic graph-based task systems and provides an exact response-time analysis under this policy. This analysis entails pseudo-polynomial time complexity for pseudo-harmonic periodic graph-based tasks, which are commonly used in practice.
Title: Experimental evolution reveals the synergistic genomic mechanisms of 1 adaptation to ocean warming and acidification in a marine copepod 2

19 Metazoan adaptation to global change will rely on selection of standing genetic variation. Determining 20 the extent to which this variation exists in natural populations, particularly for responses to 21 simultaneous stressors, is therefore essential to make accurate predictions for persistence in future 22 conditions. Here, we identify the genetic variation enabling the copepod Acartia tonsa to adapt to 23 experimental ocean warming, acidification, and combined ocean warming and acidification (OWA) 24 conditions over 25 generations. Replicate populations showed a strong and consistent polygenic 25 response to each condition, targeting an array of adaptive mechanisms including cellular homeostasis, 26 development, and stress response. We used a genome-wide covariance approach to partition the 27 genomic changes into selection, drift, and lab adaptation and found that the majority of allele frequency 28 change in warming (56%) and OWA (63%) was driven by selection but acidification was dominated by 29 drift (66%). OWA and warming shared 37% of their response to selection but OWA and acidification 30 shared just 1%. Accounting for lab adaptation was essential for not inflating a shared response to 31 selection between all treatments. Finally, the mechanisms of adaptation in the multiple-stressor OWA 32 conditions were not an additive product of warming and acidification, but rather a synergistic response 33 where 47% of the allelic responses to selection were unique. These results are among the first to 34 disentangle how the genomic targets of selection differ between single and multiple stressors and to 35 demonstrate the complexity that non-additive multiple stressors will contribute to attempts to predict 36 adaptive responses to complex environments. 37
Detection of the instantaneous frequency degradation due to damages of a fixed offshore jacket platform using the iEEMD‐based Hilbert Huang transform under a wave excitation

In online structural health monitoring of the fixed offshore jacket platform, the determination of the time‐dependent degradation of structures due to damages is the most important step in a maintenance strategy. This paper presents the application of the Hilbert Huang transform method based on the iEEMD (improved ensemble empirical mode decomposition) algorithm to identify the instantaneous natural frequency degradation due to damages of the fixed offshore structure under the random wave excitation. The iEEMD algorithm is proposed to restrain the mode mixing and used to adaptively process the big response data of the offshore structure during the wave loading with a wide frequency range. The vibration response measurement experiment for the offshore structure was conducted in a wave tank in this study. The identified fundamental natural frequencies by the iEEMD‐based Hilbert Huang method were evaluated and compared with results of the numerical model of the eigenvalue analysis. The main result demonstrates that the instantaneous frequency degradation and nonlinear time‐varying behavior due to the brace damage of the fixed offshore jacket platform can be successfully identified by the iEEMD‐based Hilbert Huang transform technique under a wave load.
Exact integration of nonlinear differential equations

This thesis has developed the theory of integration of ordinary differential equations by the method of integrating factors using the Picard method and the linearity of the defining equations of the integrating factors. Work on series investigations in this thesis was in part aided by computations performed using Waterloo Maple Software. In this context and in the context of future research it is interesting to note the comments of Dahlquist [29] on the merits of such investigations: "Series expansions are a very important aid in numerical calculations, especially for quick estimates made in hand calculation—for example, in evaluating functions, integrals, or derivatives. Solutions to differential equations can often be expressed in terms of series expansions. Since the advent of computers, it has, however, become more common to treat differential equations directly, using difference approximations instead of series expansions. But in connection with the development of automatic methods for formula manipulation, one can anticipate renewed interest for series methods. These methods have some advantages, especially in multidimensional problems. " The following topics have been considered in this thesis: 1. Abel's contribution to the theory of integrating factors. 2. The works of A R Forsyth and E L Ince and their relevance to the exact solution of nonlinear differential equations. 3. The method of exact solution of nonlinear differential equations by integrating factors has been examined by considering the solution of the Van der Pohl equation. 4. Picard's Method has been examined in great detail together with a brief examination of some of the historical analysis of the method associated with Picard's method and classical methods of solution. 5. The method of solution of differential equations by integrating factors has been used to construct integrating factors for systems of nonlinear differential equations. The solution method relies on the linearity of the equations for the integrating factor to recursively generate solutions, this property was used by Abel in his work on nonlinear differential equations [1]. In many cases the large volume of calculations has meant that details of computations have been placed in the appendices (see Appendix B). 6. Consideration of group theory is undertaken for the purpose of noting the link between integrating factors and group methods and also by way of noting that the Picard method can also provide further insight into the structure of the non classical group. 7. Series solution techniques in this thesis have been supplemented using series acceleration techniques such Pade approximants and Shanks transformations. 8. A wide variety of ordinary differential equations which include the Lorenz equation, the Thomas-Fermi equation, the Blasius equation, equations of the Emden type, Langmuir's equation, Hille's equation, Frommer's equation, the One Dimensional Poisson Boltzmann equation and Volterra's…
Investigating Students’ Learning Experiences in a Neural Engineering Integrated STEM High School Curriculum

STEM integration has become a national and international priority, but our understanding of student learning experiences in integrated STEM courses, especially those that integrate life sciences and engineering design, is limited. Our team has designed a new high school curriculum unit that focuses on neural engineering, an emerging interdisciplinary field that brings together neuroscience, technology, and engineering. Through the implementation of the unit in a high school engineering design course, we asked how incorporating life sciences into an engineering course supported student learning and what challenges were experienced by the students and their teacher. To address these questions, we conducted an exploratory case study consisting of a student focus group, an interview with the teacher, and analysis of student journals. Our analysis suggests that students were highly engaged by the authentic and collaborative engineering design process, helping solidify their self-efficacy and interest in engineering design. We also identified some challenges, such as students’ lower interest in life sciences compared to engineering design and the teacher lacking a life sciences background. These preliminary findings suggest that neural engineering can provide an effective context to the integration of life sciences and engineering design but more scaffolding and teacher support is needed for full integration.
‘Reflections facilitate emotions and emotions filter reflections’: beginning teachers’ perceptions of affective reflective practices

ABSTRACT Besides numerous positive feelings experienced during first practices, beginning teachers sometimes face challenges, experiences, and situations that produce negative emotions that can lead to attrition and burnout. Thus, the purpose of this study is to investigate how beginning teachers’ affective reflective practices can be a great tool for monitoring emotional flows and taking action to solve them, and making emotional actions more logical and systematic. This study explored 17 Iranian English as a Foreign Language (EFL) beginning teachers’ perceptions of emotional-reflective practices. Through a qualitative research design, the result from interviews and thematic analysis revealed that beginning teachers could use reflections to facilitate emotions, be autonomous in controlling their emotional flows, become rational decision-makers, monitor their practices impartially, have self-understanding and self-awareness, and encourage themselves continuously. Also, emotions can influence and act as a filter for reflections, so teachers can control their emotions to have a valid and reliable reflection; in this case, they can make reflections more systematic. This study opens a new approach to reflections for beginning teachers and makes teacher educators and stakeholders aware of its benefits.
Coherence and control of a single electron spin in a quantum dot

An electron does not only have an electric charge, but also a small magnetic moment, called spin. In a magnetic field, the spin can point in the same direction as the field (spin-up) or in the opposite direction (spin-down). However, the laws of quantum mechanics also allow the spin to exist in both states at the same time (so-called superposition state). The experiments described in this thesis aim at controlling the quantum state of a single electron spin which is confined in a quantum dot. Using the level of control achieved in these experiments, we investigated the properties of one and two-electron spin states, for example by measuring how the environment affects the superposition states. In addition to unraveling these fundamental properties, this research also aims at the development of a so-called quantum bit. This is an important building block for the future (much more powerful) quantum computer.
Checkpoint Kinase 2 Inhibition Can Reverse Tamoxifen Resistance in ER-Positive Breast Cancer

Breast cancer is a heterogeneous disease. Tamoxifen is frequently used to treat ER-positive breast cancer. Our team has identified a novel splice variant of NCOR2, BQ323636.1 (BQ), that mediates tamoxifen resistance. However, the upstream factors that modulate BQ expression are not apparent. This study reveals that tamoxifen treatment causes induction of DNA damage which can enhance BQ expression. We show that DNA damage can activate the ATM/CHK2 and ATR/CHK1 signalling cascades and confirm that ATM/CHK2 signalling is responsible for enhancing the protein stability of BQ. siRNA or a small inhibitor targeting CHK2 resulted in the reduction in BQ expression through reduced phosphorylation and enhanced poly-ubiquitination of BQ. Inhibition of CHK2 by CCT241533 could reverse tamoxifen resistance in vitro and in vivo. Using clinical samples in the tissue microarray, we confirmed that high p-CHK2 expression was significantly associated with high nuclear BQ expression, tamoxifen resistance and poorer overall and disease-specific survival. In conclusion, tamoxifen treatment can enhance BQ expression in ER-positive breast cancer by activating the ATM/CHK2 axis. Targeting CHK2 is a promising approach to overcoming tamoxifen resistance in ER-positive breast cancer.
The maximum entropy states of 1d cellular automata traffic models

We found out the entropy function of the cellular automata traffic models in a single-lane whose particle interaction rules satisfy an exclusion principle, conserve the number of particles, and prevent collisions and overtaking. With it we studied the velocity distributions of the maximum entropy states of these models. As a result, although the velocity updating rules of the Nagel-Schreckenberg traffic model drive it to states far from equilibrium, we found that the velocity distributions and fundamental diagrams of the maximum-entropy states resemble strongly the steady-states of this model at low energies. We found also that entropy as a function of particle density evidences the existence of several flow regimes in these models, with a sharp transition between the free and jammed flows in the high-energy limit. Finally, on the base of the existence of entropy for these models, we conjectured an interpretation like thermodynamics of traffic flow phenomena, and the behaviors of some thermodynamic properties, such as specific heat, isothermal compressibility, and others, are presented.
Forecasting the Geomagnetic Activity Several Days in Advance Using Neural Networks Driven by Solar EUV Imaging

Many models of the near‐Earth's space environment (radiation belts, ionosphere, upper atmosphere, etc.) are driven by geomagnetic indices, representing the state of disturbance of the Earth's magnetosphere. Over the past decade, machine learning‐based methods for forecasting geomagnetic indices from near‐Earth solar wind parameters have become popular in the space weather community. These methods often prove to be very accurate and skilled. However, these approaches have the notable drawback of being effective in an operational context only for limited forecasting horizons (often up to a couple of hours ahead at best). In order to increase this prediction horizon, we introduce SERENADE, a novel deep learning‐based proof‐of‐concept model using images delivered by the Atmospheric Imaging Assembly instrument onboard the Solar Dynamics Observatory spacecraft to directly provide probabilistic forecasts of the daily maximum of the geomagnetic index Kp up to a few days ahead. We show in particular that SERENADE is able to capture information on the geomagnetic dynamics from solar imaging alone. In addition, despite it being a prototypical model, our model is more accurate in most situations than three empirical baseline models. However, the model still shows some strong limitations inherent to its structure and the used data set, which could be the focus of future works. This opens the way to a better mid‐to‐long term data‐driven magnetospheric modeling within space weather and geophysical pipelines.
The Effect of Company Characteristics and Gender Diversity on Disclosures Related to Sustainable Development Goals

A sustainability report is a means of conveying information related to the sustainable development goals that have been agreed by the nations of the world for the safety of humans and the environment. The existence of sustainability report is influenced by several factor such as profitability, leverage, firm size, industry type, and gender diversity. Therefore, this study is performed to examine empirically the effect of profitability, leverage, firm size, industry type, and gender diversity on sustainability reports. The population in this study comprises all manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2020. The sample was taken using the purposive sampling method, and 112 samples were obtained. The data analysis technique was multiple regression analysis performed using the SPSS. The result indicates that the variables of leverage, industry type, and gender diversity have a significant effect on sustainability reports, while profitability and firm size do not have a significant effect.
Sending out an SOS - the bacterial DNA damage response

Abstract The term “SOS response” was first coined by Radman in 1974, in an intellectual effort to put together the data suggestive of a concerted gene expression program in cells undergoing DNA damage. A large amount of information about this cellular response has been collected over the following decades. In this review, we will focus on a few of the relevant aspects about the SOS response: its mechanism of control and the stressors which activate it, the diversity of regulated genes in different species, its role in mutagenesis and evolution including the development of antimicrobial resistance, and its relationship with mobile genetic elements.
Effect of dietary inclusion of vegetable oils on nutrient utilization and ruminal fermentation in Surti goats

With an objective to study vegetable oils supplementation on nutrient utilization and ruminal fermentation, 24 multiparous lactating Surti goats were divided into four groups as basal diet supplemented with no oil (CON), 3% of DMI soybean oil (SBO), 3% of DMI of rice bran oil (RBO) and equi-proportional blend of 1.5% of DMI of soybean oil and rice bran oil each (SRBO). DM, CP, NDF and ADF intake (g/d) and their digestibility (%) remained statistically similar amongst dietary treatments groups, except EE which was significantly improved in all the oil supplemented groups as compared to control. Nitrogen balance of experimental groups remained unaffected and all the animals were under positive nitrogen balance. Rumen metabolites like pH and total nitrogen and its fractions (ammonia N, TCA precipitable N and soluble N) remained similar amongst treatment except TVFA. Thus, soybean oils and/or rice bran oils at level of 3% of DMI can be effectively incorporated in ration of lactating Surti goats without affecting nutrient utilization and rumen fermentation.
Exploring the association between female genital mutilation/cutting and early/child marriage

Female genital mutilation/cutting (FGM/C) has been frequently linked to marriageability and is thought to be related to the marriage of girls younger than age 18, known as early/child marriage. These practices threaten the health of girls and women in sub-Saharan Africa, their development, and quality of life. Few rigorous studies exist that can clarify the relationship between these two practices. More such research is needed to inform policymaking and initiatives aimed at ending FGM/C and early/child marriage, both targets of the global Sustainable Development Goals. To fill this gap, the Evidence to End FGM/C program examined the association between FGM/C and early/child marriage in contexts where both are practiced. This brief summarizes the program’s findings on the relationship between the two practices, highlighting what we know and what we still need to understand.