Miracle-dz/UniFAR-FTUs huggingface dataset:
Y-algebroids and $E_{7(7)} \times \mathbb{R}^+$-generalised geometry

We define the notion of Y-algebroids, generalising the Lie, Courant, and exceptional algebroids that have been used to capture the local symmetry structure of type II string theory and M-theory compactifications to $D \geq 5$ dimensions. Instead of an invariant inner product, or its generalisation arising in exceptional algebroids, Y-algebroids are built around a specific type of tensor, denoted $Y$, that provides exactly the necessary properties to also describe compactifications to $D=4$ dimensions. We classify ``M-exact'' $E_7$-algebroids and show that this precisely matches the form of the generalised tangent space of $E_{7(7)} \times \mathbb{R}^+$-generalised geometry, with possible twists due to 1-, 4- and 7-form fluxes, corresponding physically to the derivative of the warp factor and the M-theory fluxes. We translate the notion of generalised Leibniz parallelisable spaces, relevant to consistent truncations, into this language, where they are mapped to so-called exceptional Manin pairs. We also show how to understand Poisson--Lie U-duality and exceptional complex structures using Y-algebroids.
Measuring the Awareness of Polycystic Ovarian Syndrome (PCOS) among Women in Punjab, Pakistan

Polycystic ovarian syndrome (PCOS) is the most prevailing endocrine disorder among women of reproductive age, worldwide. Its prevalence is 52% in Pakistani women and the rate of infertility is gradually increasing. It can be treated through early diagnosis, management of symptoms, and a healthy lifestyle. This cross-sectional study aimed to determine the level of awareness and knowledge regarding PCOS in the women of Punjab, Pakistan. For this purpose, a total of 350 women between the ages of 16 and 50 years were included in the current study. data was obtained through a questionnaire and analyzed through SPSS (version 25). The results determined that 56% of women were found to have the knowledge of PCOS, while 44% had never heard about it. Furthermore, about 67% of 196 PCOS-aware women were unaware of its signs and symptoms. Moreover, in 14% of the cases, a friend was the source of knowledge regarding PCOS. Whereas, approximately 10% of these women had heard about the syndrome through education, 9% through their family, 7% through various media such as newspapers, television, and social media, and 17% through other sources including general physicians and gynecologists. It was concluded that only 33% of the participants who claimed to have heard of PCOS were aware of its symptoms, whereas 67% were unaware of them. A total of 152 women, out of 350, had never heard about PCOS.
Replacing Medicaid with an Imperfect Substitute: Implications for Health Inequality

A 2015 policy change substantially increased the administrative burden involved in accessing health insurance for Pacific Islander immigrants in Hawaii. We examine the heterogeneous health-care use effects of this policy, which revoked Medicaid eligibility for these migrants and replaced it with access to subsidized private health insurance. Using data on the universe of hospitalizations and emergency room visits in Hawaii, we classify individuals as high or low risk based on their use in a baseline period. We then use a difference-in-differences strategy to estimate the effects of the policy on use, separately for low-risk and high-risk groups. The policy exacerbated health inequality: high-risk individuals experienced larger reductions in total use and larger increases in uninsured use.
Temporal Quantification in Child Language

Nominal quantification received wide attention in Child Language research. Over and over it was found that four year old children do not apply the same restrictions to the domain of quantification as adults do. In sentences such as (1a) children include “apple” in the domain of quantification as well as ‘witch’. This paper focuses on temporal quantification, which involves quantifying over times rather than individuals (1b).
Effects of lovastatin in prevention of restenosis after percutaneous transluminal angioplasty in lower limbs

P e r c u t a n e o u s t r ans lumina l ang iop las ty (PTA) is frequently complicated by restenosis of the dilated arterial segment within a few months after the angioplasty. Cholesterollowering drugs have been shown to reduce the rate of restenosis after PTA, but the role of lipid fractions in susceptibility to restenosis after balloon angioplasty is not clear. The present prospective and randomized study was executed to find out the effects of lovastatin on restenosis after PTA in the arteries below the inguinal ligament. PTA was performed in 37 patients (age 68 -+ 12 years) because of severe claudication or critical ischemia of lower limbs. Regardless of their p reopera t ive blood choles terol level, all patients were given diet information and thereafter randomized into two groups, one receiving 250 mg asetosalisylic acid (ASA group, n = 19) and one receiving 250 mg ASA and 20 mg of lovastatin (lovastatin group, n = 18) daily. Clinical status was followed up for 1, 4, and 12 months after PTA. Control angiography was performed in every patient 12 months after PTA. However , if the clinical status suggested critical ischemia, angiography and necessary procedures were performed before 12 months. Two radiologists evaluated all angiographs independent ly and without knowledge of the medication patients were receiving. In the ASA group, for tytwo percent (8/19) of the patients had total restenosis of the dilated segment 4.5 -+ 1.2 months after the first PTA, whereas only 22.2% (4/18) of the patients in the lovastatin group had total restenosis 2.8 -+ 1.5 months after the initial treatment. There were 2/18 amputations (1 I. 1%) in the lovastatin group and 4/19 (21.1%) in the ASA group during the first year of surveillance. Total plasma cholesterol decreased from 6.0 -+ 1.1 mmol/L to 5.0 -+ 1.4 Correspondence to: O. Juhani Rfim6, M.D., Ph.D., Department of Thoracic and Cardiovascular Surgery Helsinki University Central Hospital, Haartmaninkatu 4, SF-00290 Helsinki 29, Finland mmol /L , and choles te ro l index (total cho les te ro l / HDL-cholesterol) decreased from 5.4 -+ 2.3 to 4.9 -+ 2.5 in the lovastatin group during the follow-up period. In the ASA group, both plasma total cholesterol and cholesterol index stayed virtually at the same level. The number of restenosis and amputat ions in the ASA group was twice as high as in the lovastatin group 1 year after PTA. These preliminary results suggest that lovastatin has a beneficial effect on restenosis after balloon angioplasty.
A STUDY OF INCIDENCE OF CONGENITAL ANOMALIES IN A TERTIARY CARE CENTRE

Dr. Jothi sundaram md og, and Dr. d. s. kavitha md og. 1. Associate professor , Department of O&G, Madurai Medical College, Madurai. 2. Assistant Professor, Department of O&G, Madurai Medical College, Madurai. Manuscript Info Abstract . Manuscript History
An insight into the magnetoelectric coupling effect in the MOF of [NH2(CH3)2]n[FeIIIFeII(HCOO)6]n

Understanding the microscopic mechanism of magnetoelectric coupling is of fundamental importance for the rational design of multiferroics. Herein, the magnetoelectric coupling effect in the metal-organic frameworks of [NH2(CH3)2]n[FeIIIFeII(HCOO)6]n (1) was investigated, respectively, through measuring the dielectric properties and ferroelectric polarization of single-crystal 1 along different crystal axes under external magnetic fields. Analysis on the magnetic structure of 1 reveals that the defect in the FeII-FeIII sublattices plays a key contribution to the magnetoelectric coupling of 1, providing a unique insight into the magnetoelectric coupling effect of MOFs-based multiferroics.
Large Eddy Simulation and Analysis of Kinetic Energy Entrainment in Large Wind Farms

Large eddy simulation (LES) is used to investigate the behavior of turbine wakes in very large wind farms for which the wakes merge and the flow becomes fully developed. To do this, horizontally-periodic boundary conditions are applied in the LES to mimic the conditions associated with an infinite wind farm. The primary focus of this thesis is on entrainment of mean kinetic energy from above the turbines to the turbine rotor height due to turbulent momentum transfer. In one study, LES is used with proper orthogonal decomposition (POD) to study energetic flow structures in the fully developed atmospheric boundary layer (ABL) flow around a large wind farm. Several thousand three-dimensional velocity fields are analyzed with POD and the resulting POD modes are ordered by their contribution to kinetic energy as well as energy entrainment to the height of the wind turbines. Streamwise-constant counterrotating rollers are found to contain the most kinetic energy and to contribute a significant amount to the vertical kinetic energy entrainment. The temporal nature of these spatial POD modes is also analyzed to provide insight into the meandering of streaks in the wind farm ABL and the advection of velocity perturbations. In another study, LES is used to investigate the effect of synthetic forcing at the turbine rotors,
Studies of cosmic-ray electrons with the H.E.S.S. experiment using an advanced reconstruction technique

The high-energy cosmic-ray electron spectrum has been measured by H.E. S.S. , a stereoscopic imaging atmospheric Cherenkov telescope array situated in the Khomas highland in Namibia, in the energy range between 360GeV and 14TeV. This work studies the electron reconstruction using an advanced reconstruction technique (model analysis), that reaches a better sensitivity to electromagnetic air showers than the standard Hillas reconstruction and provides the depth of first interaction as additional output parameter. A clear electron/hadron separation with good signal efficiency can be achieved using the Boosted Decision Tree method. The model analysis allows a good electron energy reconstruction above 300GeV, but in order to further decrease the energy threshold for an electron analysis, the data have to meet strict quality requirements and constraints on event selection. Although the model analysis provides, apart from the depth of shower maximum, the depth of first interaction as sensitive parameter to differences in shower evolution between electron and γ-ray induced air showers, an electron/γ-ray separation with good signal efficiency on an event-by-event basis with the strategy applied in this work is not possible.
Results of Surgical Treatment of Unresolved Osgood-Schlatter Disease in Adults

Osgood-Schlatter is a common disease with most cases resolving spontaneously with skeletal maturity. Adults with continued symptoms may need surgical treatment if they fail to respond to conservative measures. The purpose of this study is to describe the pathological lesions, our surgical technique, and the results of our surgical treatment of Osgood Schlatter disease in adults. Thirty-ﬁve adult patients (37 knees) had surgery for unresolved Osgood-Schlatter disease. Three patients were lost for follow-up. An incision over the anterolateral aspect of the patellar tendon was used. Direct anterior incisions were avoided to decrease postoperative pain with kneeling. The patellar tendon was reﬂected medially, and the ossicle was removed from the posterior surface of the tendon. A tibial tuberosity reduction osteotomy was done in 29 cases (85%). A beak of the distal part of the tibial tubercle was found in 24 cases (71%) with impingement of the patellar ligament. Thirty-one knees (91%) had complete resolution of preoperative pain. There was one case of painful scar. This surgical technique for treatment of Osgood-Schlatter disease in adults is effective and safe especially for those who have the habit of frequent kneeling.
The silicon detector systems of the Compressed Baryonic Matter experiment

The Compressed Baryonic Matter (CBM) experiment [1] is a fixed-target heavy-ion experiment that will operate at the international Facility for Antiproton and Ion Research (FAIR) [2] now under construction in Darmstadt, Germany. The experiment intends to study rare probes, which are emitted from heavy ion collisions with a beam energy of 4 to 45 AGeV. A focus is laid to the short lived open charm particles and to particles decaying into di-lepton pairs. Handling the up to 107 Au+Au collisions/s required for generating those probes with sufficient statistics, as much as reaching the required sensitivity for observing them, forms a major challenge for the silicon detectors of the experiment. We present the concept and the development status of two central detectors of CBM, the CMOS pixel based micro vertex detector (MVD) and the micro-strip detector based silicon tracking system (STS).
Magnitude of Cement-Device Interfacial Stresses with and without Tibial Stemming: Impact of BMI

Patients expect their total knee arthroplasty to relieve pain and to be long lasting. With patients becoming more active, weighing more, and living longer, this expectation becomes increasingly more difﬁcult to fulﬁll. Patients who are obese and active put greater loads on their implants and may have a greater risk of failure. Although much attention has been paid to decreasing polyethylene wear, a major cause of implant failure, very little research focus has been directed to elucidate other measures to reduce failure, such as the efﬁcacy of prophylactic stemming of the tibial tray. This study explored whether additional mechanical support for tibial base plates would help reduce bone cement stresses in heavy patients, who, like patients with a high activity level, put added stress on their implants. A tibial base plate with a 12-mm-diameter (cid:1) 50-mm-long stem was compared with the same tibial base plate with a 15-mm-diameter (cid:1) 20-mm-long end cap using ﬁnite element analysis. The results indicate that the tibial base plate with a prophylactic stem signiﬁcantly reduced compressive and shear stresses on the cement-device interface and therefore may help to reduce the possibility of tibial loosening in these at-risk patients. Further, such studies will aid the surgeon in educating patients and in selecting the appropriate implant strategy.
Administrative delegation revisited: Experimental evidence on the behavioural consequences of public service motivation and risk aversion

Getting a grip on issues of administrative delegation is key to the performance of public organizations. The oversight game models delegation as a conflict of interest between an inspector and an inspectee to act in the interests of the former. This study tests alternative solutions to overcome ‘shirking’ in the oversight game. Specifically, we test the effect of external incentives, as implied by the game-theoretical solution, against the role of intrinsic factors, namely, public service motivation and job-related risk aversion. Evidence from a laboratory (N = 208) and survey experiment (N = 794) show that both the game-theoretical approach, which inspired new public management, and public service motivation, as its antithesis, fail to explain subjects’ behaviour. Instead, job-related risk aversion makes oversight more and ‘shirking’ less likely. This finding hints towards a more differentiated view of public employees’ risk attitudes to improve administrative delegation. Points for practitioners The promise of new public management that oversight issues in administrative delegation disappear with setting appropriate extrinsic incentives is too simplistic. Public service motivation, on the other hand, which started as an antithesis of the self-interested bureaucrat, also fails to solve the issue of ‘shirking’ in administrative delegation. Instead, job-related risk aversion appears to improve administrative delegation, which presents a remarkable counterpoint to the popular opinion in public management that risk aversion is problematic for public organizations’ performance. Rather than avoid selecting risk-averse public employees generally, more attention might be paid to the domains of administrative decision-making in which such traits can be beneficial.
Narcofeminism: A feminist auto-ethnography on drugs

Narcofeminism began in 2019 as a rallying principle for women who use drugs to establish links between feminist organising and drug user activism. This article elaborates narcofeminism as a site of feminist resistance to patriarchal orders and modes of rationality. It presents an auto-ethnographic account and examples of drug user activism to explore drug use as a form of resistance to dominant social orders. Woven through this auto-ethnographic account is a discussion of the political imperatives of my experiences as an ‘Othered’ subject. Building on my 2020 piece featured in a flagship book on women, gender and drug policy, it pushes for a recognition of the diverse perspectives of women who use drugs and seeks to bestow more authority to voices with lived experience. It concludes with a discussion of how we might forge empathetic connections between the Feminist Self and Feminist ‘Others’ in our common embodied experiences of marginality, even if separated by context, time and space.
Automatic Segmentation of Diabetic Macular Edemas and ILM-RPE Layers in Retinal OCT Images Based on MFANet

Aiming at the problems of blurred boundary and low segmentation accuracy of existing retinal OCT image segmentation methods, this paper designs a MFANet semantic segmentation model based on encode-decoder for the purpose of accurate segmentation of diabetic macular edemas and ILM-RPE layers, and proposes an automatic retinal OCT image segmentation method based on this model. This method takes the DeepLabV3+ network as the main body and improves the dilated convolution part, which can fully extract the multiscale features of the lesions and obtain a large enough receptive field to effectively balance the local and global information of the retina; the decoder increases the attention feature integration module, reduces information reduction and enlarges the global dimension interaction feature. The introduced global attention effectively strengthens the model's learning of important features of retinal image. The experimental results show that the proposed method has better segmentation effect than the existing methods, and the MIoU reaches 85.82%. It can extract the macular edema regions quickly and accurately, identify the boundary information better, and provide a quantitative analysis tool for clinical diagnosis and treatment.
Surface Simplification Using Quadric Error Metrics

Many applications in computer graphics require complex, highly detailed models. However, the level of detail actually necessary may vary considerably. To control processing time, it is often desirable to use approximations in place of excessively detailed models We have developed a surface simplification algorithm which can rapidly produce high quality approximations of polygonal models. The algorithm uses iterative contractions of vertex pairs to simplify models and maintains surface error approximations using quadric matrices. By contracting arbitrary vertex pairs (not just edges), our algorithm is able to join unconnected regions of models. This can facilitate much better approximations, both visually and with respect to geometric error. In order to allow topological joining, our system also supports non-manifold surface models.
Image Sample Generation of Stator Surface Defects Based on Layer Mask Blending Generative Adversarial Network

In industrial production processes, defect inspection plays an important role in reducing the occurrence of failures and improving production efficiency. Data-driven algorithms represented by deep learning have made great progress in recent years, but need to face the problems of small quantity and poor quality of datasets when applied to industrial defect inspection. This paper proposes a layer mask blending-based generative adversarial network (LMBGAN) and optimizes the training process to generate high-quality surface defect samples. LMBGAN generates defect images and layer masks using the defect image decoder and layer mask decoder with the Pixel Shuffle operation. Inspired by the layer mask in computer painting, LMBGAN adopts the input image as the base layer and blends the defect foreground through the layer mask, giving it the ability to focus more on generating upper-layer defect images and reducing unnecessary background changes. LMBGAN additionally introduces adaptive discriminator augmentation and non-saturating logistic loss to promote model convergence under small datasets, effectively alleviating the problem of GAN training difficulties with limited data. The experiment results show that the proposed method can generate high-quality and diverse defect image samples through easily accessible normal samples, thus reducing the difficulty of obtaining rare defect image samples.
Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing

The increasing carbon emissions from cloud computing requires new methods to reduce its environmental impact. We explore extending data center server lifetimes to reduce embodied carbon emissions (from hardware manufacturing), rather than operational (from running hardware). Our experiments are the first to analyze a data center application's end-to-end performance on different server generations, to reveal that older hardware can preserve performance in certain conditions (e.g., low load). Our observations show the need for a carbon-aware data center scheduler that schedules on older hardware when suitable. However, quantifying such a scheduler's carbon savings is challenging today due to the lack of practical carbon measurement metrics/tools. We identify gaps in current methods for measuring operational and embodied carbon and call upon the broader systems research community to take action and conduct research that can pave the way for future carbon footprint analysis in systems.
On Commutativity of Rings with (, )-Biderivations

Let R be a prime ring with characteristic different from 2, I be a nonzero ideal of R. in this paper, for α,β,σ,τ as automorphisms of R, we present some results concerning the relationship between the commutativity of a ring and the existence of specific types of a (σ,τ)-Biderivation, we prove: (1) Suppose F:R×R⟶R is a nonzero(σ,τ)-Biderivation then R is a commutative ring if F satisfies one of the following conditions: (i) F(I, I) ⊂ Cα,β(ii) [ImF , I]α,β =0 (iii) F(xω, y) = F(ωx, y)for all x, y, ω ∈ I. (2) Suppose F1: R⟶R is a nonzero(σ, τ)-derivation and F2:R×R⟶R is a (α, β)-Biderivation with ImF2=R, If F1F2(I, I)=0 then F2=0.
When Does Saving Power Save the Planet?

The computing industry accounts for 2% of the world's emissions. Power-efficient computing is a frequent topic of research, but saving power does not always save the environment. Jevons' paradox states that resource savings from increases in efficiency will be more than compensated for by increased demand by a process called rebound --- making these ineffective ways to decrease emissions. This is not the case for all applications within computing: applications whose demand is inelastic with respect to power consumption can have reduced power consumption. We analyze several large fields within computer science, including ML, the Internet and IoT, and provide directions on where power efficiency savings will help reduce carbon emissions. We present the economic tools needed to decide whether power-efficiency improvements are likely to result in reduced or increased emissions. We conclude that many problems in computer science do have characteristics of rebound, meaning that green energy is the only solution for many fields.