Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between Vitamin D Deficiency and Electrolyte Level and Myocardial Infarction in Patients Presenting with Acute Coronary Syndrome

Background: Acute myocardial infarction had been related to greater rates of morbidity and mortality in hospitalized studied cases around the globe. It has been established that male-studied cases have AMI more frequently than female ones do. Objectives: The present research sought to examine serum electrolytes, myocardial infarction, and levels of 25-hydroxyvitamin D in studied cases with acute coronary syndrome. Subjects and techniques: This research had been a case-control study, where 150 participants (sixty STEMI cases, sixty NSTEMI cases and thirty controls) had been recruited from the Cardiology Department, Faculty of Medicine, Aswan University. Results: All Vit-D level was significantly lower among STEMI and NSTEMI cases linked to a healthy control population (p <0.001). Serum Ca, K, and Na were significantly lower among STEMI and NSTEMI cases compared to healthy control population, while Mg was significantly higher among STEMI and NSTEMI cases compared to healthy control population (p <0.05). Conclusion: vitamin D and serum electrolytes were deficient in all studied cases with ACS compared to controls. Additionally, we determined that low vitamin D, high LDL, total cholesterol, impaired renal function and low HDL-C were significant ACS
CADENCE: Community-Aware Detection of Dynamic Network States

Dynamic interaction data is often aggregated in a sequence of network snapshots before being employed in downstream analysis. The two common ways of defining network snapshots are i) a fixed time interval or ii) fixed number of interactions per snapshot. The choice of aggregation has a significant impact on subsequent analysis, and it is not trivial to select one approach over another for a given dataset. More importantly, assuming snapshot regularity is data-agnostic and may be at odds with the underlying interaction dynamics. To address these challenges, we propose a method for community-aware detection of network states (CA-DENCE) based on the premise of stable interaction time-frames within network communities. We simultaneously detect network communities and partition the global interaction activity into scale-adaptive snapshots where the level of interaction within communities remains stable. We model a temporal network as a node-node-time tensor and use a structured canonical polyadic decomposition with a piece-wise constant temporal factor to iteratively identify communities and their activity levels. We demonstrate that transitions between network snapshots learned by CADENCE constitute network change points of better quality than those predicted by state-of-the-art network change point detectors. Furthermore, the network structure within individual snapshots reflects ground truth communities better than baselines for adaptive tensor granularity. Through a case study on a real-world Reddit dataset, we showcase the interpretability of CADENCE motivated snapshots as periods separated by significant events.
LLFree: Scalable and Optionally-Persistent Page-Frame Allocation

Within the operating-system’s memory-management subsystem, the page-frame allocator is the most fundamental com-ponent. It administers the physical-memory frames, which are required to populate the page-table tree. Although the appearance of heterogeneous, nonvolatile, and huge memories has drastically changed the memory hierarchy, we still manage our physical memory with the seminal methods from the 1960s. With this paper, we argue that it is time to revisit the design of page-frame allocators. We demonstrate that the Linux frame allocator not only scales poorly on multi-core systems, but it also comes with a high memory overhead, suffers from huge-frame fragmentation, and uses scattered data structures that hinder its usage as a persistent-memory allocator. With LLF REE , we provide a new lock- and log-free allocator design that scales well, has a small memory footprint, and is readily applicable to nonvolatile memory. LLF REE uses cache-friendly data structures and exhibits antifragmentation behavior without inducing additional performance overheads. Compared to the Linux frame allocator, LLF REE reduces the allocation time for concurrent 4 KiB allocations by up to 88 percent and for 2 MiB allocations by up to 98 percent. For memory compaction, LLF REE decreases the number of required page movements by 64 percent.
E-Module: Online Learning Media for Economics Learning in Senior High School

This study aimed to develop the E-Module, which is a Google Sites– based online module to increase students’ achievement in senior high school. It would be able to facilitate teachers’ carrying out learning in an effective and efﬁcient manner, especially when distance learning is implemented. This research and development study had ﬁve stages: analysis, design, development, Implementation and evaluate. The e-module quality is validated using expert judgment, and its applicability to students is then evaluated. The research subjects are students in of class XI senior high school. The results reveal that the E-module had high quality in the appearance and programming aspects based on expert judgment. Then, based on the practicality test, students and teacher’s determined that the E-module was very practical to use because it was visually appealing, the menus and pane navigation functioned well, and the content was appropriate for students. Independent sample t-test through SPSS 20.0 obtained Sig. (2-tailed) is 0.038 ≤ 0.05. This shows that there is a signiﬁcant (signiﬁcant) difference between the average learning outcomes of the experimental class and the control class. As a result, it can be concluded that the E-module has high quality, practice, and would be widely used by teachers in conducting classroom learning.
A Radial Basis Function - Finite Difference and Parareal Framework for Solving Time Dependent Partial Differential Equations

The Radial Basis Function–Finite Difference (RBF–FD) method is a mesh-less method for discretizing differential operators in ordinary differential equations (ODEs) and partial differential equations (PDEs). To solve a time-dependent PDE, it is common to use the method of lines approach (MOL), where one discretizes the spatial differential operator using RBFs, converting the PDE into a system of ODEs. The system of ODEs is solved using an appropriate numerical ODE solver. The RBF–FD approach has the advantage of leading to a differentiation matrix that is sparse. However, spurious eigenvalues could lead to unstable algorithms and resolving the issue could increase the computational cost. Typically, solving an ODE is usually thought of as a set of sequential steps. In this work, we propose to use a parallel ODE solver called the Parareal method that offers the ability to compute expensive steps in parallel. We also introduce a new strategy to utilize coarse and fine differentiation matrices along with coarse and finer ODE solvers in the Parareal algorithm to further speed up the computations. This strategy also notably mitigates the effects that the spurious eigenvalues have on the computations and reduces the computational cost of solving the system of ODEs with a standard approach.
A Retrospective Study on Dermatophte Infections In-Relation to the Age, Sex, Site of Infection and In Asmara, Eritrea

Background: Diseases related to superficial skin fungal infectios are becoming a leading cause of disabilitry. Majority of skin diseases are caused by different types of Tinea that affect; the beard area, the scalp hair follicles and the surrounding skin, the trunk, the groin, the face, chin and lip, the hand, the webs of the toe and the nails. The prevalence and pattern of these diseases differs among countries because of sex, age, cvomorbid diseases, the skin type and site of an individual, occupation, climate/geographic area, level of immunity and socio cultural behavior. culture.
On Hölder continuity of solution maps to parametric vector primal and dual equilibrium problems

In this paper, we first propose some kinds of the strong convexity (concavity) for vector functions. Then we apply these assumptions to establish sufficient conditions for the Hölder continuity of solution maps of the vector primal and dual equilibrium problems in metric linear spaces. As applications, we derive the Hölder continuity of solution maps of vector optimization problems and vector variational inequalities. Our results improve and generalize some recent existing ones in the literature.
Assessment of non-communicable diseases screening practices among university lecturers in Ghana – a cross sectional single centre study

Background: Non-communicable diseases (NCDs) are a major cause of morbidity and mortality globally. In low-income settings, some NCDs are without symptoms so regular screening for early detection is key. However, routine screening for NCDs is limited in the general public and even among the elite. We therefore set out to assess health screening practices among lecturers in a university in Ghana. Methods: This was a cross-sectional study involving 205 lecturers in Kwame Nkrumah University of Science and Technology from February to August 2022. A questionnaire was used to gather data from both male and female university lecturers based on their self-reported declaration of being male or female. Data were analyzed using descriptive and inferential statistics. Results: We found that, 41 (20.0%) lecturers (both men and women) had never checked their blood pressure (BP), 140 (68.3%) check their BP twice a month and 24 (11.7%) do so more than 3 times a month. Overall, 105 (57.18%) lecturers have high BP (>120 mmHg, >80 mmHg). Among the lecturers with hypertension, 59 (50.9%) often checked their BP each month, whereas 22 (18.97%) did not. The study found that, 164 (80%) of the lecturers have never checked their blood sugar level since they assumed lectureship position. Among the lecturers who check their blood sugar, 78 (47.55) are not happy with their blood sugar levels. Lecturer’s age (40 to 49 years) was found to be associated with BP in the bivariate analysis (p=0.036), but not in the multivariate analysis (p=0.114). In the bivariate analyses, female lecturers were found to have a higher risk (OR 1.35; 95% CI 0.29-6.21) of developing hypertension compared to male lecturers. Conclusions: The study has revealed that lecturers, just like the general population have moderate health care checks. The need to setup occupational health therapy units in all universities is overdue.
Integrable Models and Geometry of Target Spaces from the Partition Function of N=(2,2) theories on $S^2$

In this thesis we analyze the exact partition function for N=(2,2) supersymmetric theories on the sphere S^2. Especially, its connection to geometry of target spaces of a gauged linear sigma model under consideration is investigated. First of all, such a model has different phases corresponding to different target manifolds as one varies the Fayet-Iliopoulos parameters. It is demonstrated how a single partition function includes information about geometries of all these target manifolds and which operation corresponds to crossing a wall between phases. For a fixed phase we show how one can extract from the partition function the I-function, a central object of Givental's formalism developed to study mirror symmetry. It is in some sense a more fundamental object than the exact Kahler potential, since it is holomorphic in the coordinates of the moduli space (in a very vague sense it is a square root of it), and the main advantage is that one can derive it from the partition function in a more effective way. Both these quantities contain genus zero Gromov--Witten invariants of the target manifold. For manifolds where mirror construction is not known (this happens typically for targets of non-abelian gauged linear sigma models), this method turns out to be the only available one for obtaining these invariants. All discussed features are illustrated on numerous examples throughout the text.Further, we establish a way for obtaining the effective twisted superpotential based on studying the asymptotic behavior of the partition function for large radius of the sphere. Consequently, it allows for connecting the gauged linear sigma model with a quantum integrable system by applying the Gauge/Bethe correspondence of Nekrasov and Shatashvili. The dominant class of examples we study are ''ADHM models``, i.e. gauged linear sigma models with target manifold the moduli space of instantons (on C^2 or C^2/Gamma). For the case of a unitary gauge group we were able to identify the related integrable system, which turned out to be the Intermediate Long Wave system describing hydrodynamics of two layers of liquids in a channel. It has two interesting limits, the Korteweg--deVries integrable system (limit of shallow water with respect to the wavelength) and Benjamin--Ono integrable system (deep water limit). Another integrable model that naturally enters the scene is the (spin) Calogero--Sutherland model. We examine relations among energy eigenvalues of the latter, the spectrum of integrals of motion for Benjamin--Ono and expectation values of chiral correlators in the ADHM model.
The Effect of Multiple Environmental Conditions on Acacia Senegal Seedling’s Carbon, Nitrogen, and Hydrogen Contents: An Experimental Investigation

 Abstract — This study was conducted in light of continual global climate changes that projected increasing aridity, changes in soil fertility, and pollution. Plant growth and development largely depend on the combination of availing water and nutrients in the soil. Changes in the climate and atmospheric chemistry can cause serious effects on these growth factors. Plant carbon (C), nitrogen (N), and hydrogen (H) play a fundamental role in the maintenance of ecosystem structure and function. Hashab ( Acacia senegal ), which produces gum Arabic, supports dryland ecosystems in tropical zones by its potentiality to restore degraded soils; hence, it is ecologically and economically important for the dry areas of sub-Saharan Africa. The study aims at investigating the effects of water stress (simulated drought) and poor soil type on Acacia senegal C, N, and H contents. Seven-day-old seedlings were assigned to the treatments in split-plot design for four weeks. The main plot is irrigation interval (well-watered and water-stressed), and the subplot is soil types (silt and sandy soils). Seedling's C%, N%, and H% were measured using CHNS-O Analyzer and applying Standard Test Method. Irrigation intervals and soil types had no effects on seedlings and leaves C%, N%, and H%, irrigation interval had affected stem C% and H%, both irrigation intervals and soil types had affected root N% and interaction effect of water and soil was found on leaves and root's N%. Application of well-watered irrigation with soil that is rich in N and other nutrients would result in the greatest seedling C, N, and H content which will enhance growth and biomass accumulation and can play a crucial role in ecosystem productivity and services in the dryland regions.
A Safety Control Method of Car-Following Trajectory Planning Based on LSTM

This paper focuses on the potential safety hazards of collision in car-following behaviour generated by deep learning models. Based on an intelligent LSTM model, combined with a Gipps model of safe collision avoidance, a new, Gipps-LSTM model is constructed, which can not only learn the intelligent behaviour of people but also ensure the safety of vehicles. The idea of the Gipps-LSTM model combination is as follows: the concept of a potential collision point (PCP) is introduced, and the LSTM model or Gipps model is controlled and started through a risk judgment algorithm. Dataset 1 and dataset 2 are used to train and simulate the LSTM model and Gipps-LSTM model. The simulation results show that the Gipps-LSTM can solve the problem of partial trajectory collision in the LSTM model simulation. Moreover, the risk level of all trajectories is lower than that of the LSTM model. The safety and stability of the model are verified by multi-vehicle loop simulation and multi-vehicle linear simulation. Compared with the LSTM model, the safety of the Gipps-LSTM model is improved by 42.02%, and the convergence time is reduced by 25 seconds.
The Constructural Imagery Constructuralism andNetwork Ecologies

There is something paradoxical about “culture networks” as a field of study. On the one hand, the area is coherent and visible enough to have been the subject of numerous chapter-length reviews in the last decade or so (Breiger & Puetz, 2015; Mützel & Breiger, 2020; Pachucki & Breiger, 2010; Rule & Bearman, 2015), including programmatic treatments by Paul DiMaggio (2011) and Ann Mische (Mische, 2011) in the previous edition of this handbook.1 However, it is still being determined what the field of culture and network studies is as a scholarly domain of practice. Some (Breiger & Puetz, 2015, p. 557) refer to it “as a research specialty in its own right”—a somewhat optimistic assessment—but others see it, at least implicitly, more as a cluster of studies united by thematic similarities and substantive emphases across various distinct sub-areas in sociology and the social sciences more generally (DiMaggio, 2011; Mische, 2011; Rule & Bearman, 2015). These include, inter alia, studies of artistic, collaboration, civil society, and creative networks, or the formal modeling of certain cultural elements, such as text, practices, language, concepts, narratives, and events, as a network of elements, or the study of the meaningful bases of interaction and relationship formation in social networks via cultural change and the construction of identities and boundaries. Nevertheless, something is missing in these previous treatments: a general sense of whether, beyond topical intersections of culture and networks or the study of interesting empirical phenomena, there exists a general theoretical or conceptual basis uniting the field.
Perceptions of Corporate Social Responsibility and Implications for the Nonprofit Sector

While corporate social responsibility (CSR) has been considered an important philanthropic support for nonprofits worldwide, little is known about how perceptions of CSR are associated with actual CSR practices that may benefit nonprofit organizations in different institutional contexts. This study applies stakeholder theory to examine how South Korean firms perceive CSR outcomes, and how these perceptions lead to different CSR practices. We constructed a panel dataset using two waves of the Giving Korea survey of CSR and two additional sources. The results indicate that perceived CSR outcomes may play a critical role in CSR practices: 1) the more financial performance is perceived as an outcome, the more will be donated; 2) the more organizational culture is perceived as an outcome, the greater the engagement in employee volunteering; and 3) the more reputation is perceived as an outcome, the more nonprofit organizations are supported. From the findings, we discuss theoretical implications and provide suggestions for nonprofit organizations.
The Cause and Effect of Immune Thrombocytopenia (ITP) on Individuals

Immune thrombocytopenia is a rare blood disorder in which an individual has a decreased level of platelets due to the immune system destroying the blood-clotting platelets. Platelets function in the body to help clot the blood, but in people with ITP, the body produces antibodies that disrupt and attack the creation, leading to lower levels. The average platelet count ranges from 150,000-400,000 per microliter of blood, but in individuals with ITP, the platelet count is less than 100,000 [1]. This significant decrease in platelet count can cause easy bruising, bleeding, and fatigue, among various symptoms that can disrupt an individual's life. The current diagnosis of ITP is centered on presumptions and excludes other causes of thrombocytopenia due to a variety of acquired and inherited that can present similar symptoms. In some cases, ITP may not cause symptoms, and for most children and adults, ITP is not severe. Acute ITP will typically go away on its own without the need for extensive therapy. In individuals with more advanced cases, or chronic ITP, one may receive a wide range of treatments. The stage of the disorder, current medical history, and genetics all have significant roles in determining the treatment an individual will receive.
Exploring Variation of Results from Different Experimental Conditions

It might reasonably be expected that running multiple experiments for the same task using the same data and model would yield very similar results. Recent research has, however, shown this not to be the case for many NLP experiments. In this paper, we report extensive coordinated work by two NLP groups to run the training and testing pipeline for three neural text simplification models under varying experimental conditions, including different random seeds, run-time environments, and dependency versions, yielding a large number of results for each of the three models using the same data and train/dev/test set splits. From one perspective, these results can be interpreted as shedding light on the reproducibility of evaluation results for the three NTS models, and we present an in-depth analysis of the variation observed for different combinations of experimental conditions. From another perspective, the results raise the question of whether the averaged score should be considered the ‘true’ result for each model.
Rotating Savings and Credit Associations as a Financial Commons: A Case Study of an Ethiopian Equub in Berlin

Equub is an Ethiopian Rotating Savings and Credit Association (ROSCA) that has been used by a significant number of the Ethiopian population for a long time (Aredo, 1993; Aredo, 2004; Begashaw, 1978). Ethiopian people of various ethnicity, social class, gender, age group, and place of residence have used Equub to mobilize financial and social resources. Equubs can be found wherever Ethiopians are found. However, the various forms of Equub found inside and outside of Ethiopia are not studied evenly. While the Equubs found in Ethiopia are well studied, those outside of Ethiopia, especially those in Europe, are neglected (Tadesse, 2020). 1 Furthermore, Equub has not yet been studied in relation to the concept of the commons. The purpose of this study is to examine the nature of Equub in Berlin vis-à-vis the concept of the commons using Ostrom’s (1990) design principles for long-enduring Common Pool Resource (CPR) institutions. The study poses the question: How do Equubs in Berlin work as commons? The study employs a single qualitative case study research design and discusses results in relation to the author's personal experience in Equub and research findings from other studies. The results of the study reveal that Equub is an excellent example of the commons and it can be categorized as financial commons. The study also shows that Equub is a way of building community economies and providing support systems for Black minorities in the West.
Airgun arrays for marine seismic surveys - physics and directional characteristics

Airgun arrays are by far the most commonly used offshore seismic survey sound sources and, despite ongoing attempts to develop alternatives, are likely to remain so well into the future. Although designed to produce their highest sound levels in the vertically downward direction, these arrays also emit considerable acoustic energy in other directions, thus making them a potential hazard for marine animals. Each airgun array produces a complicated sound field, determined by the array layout (positions and sizes of its airguns), in which both the waveform and spectrum of the signal vary strongly with direction. This paper examines the relationship between the array layout and the directional characteristics of the sound field it produces with a view to providing guidance on how changes in array layout can be used to reduce the environmental impact of an array while retaining its utility as a seismic survey source.