Miracle-dz/UniFAR-FTUs huggingface dataset:
Maternal characteristics and offspring’s cardiometabolic profile

Background & Aims: Maternal early pregnancy lipid profile might influence offspring’s lipids and glycaemic control, through an increased offspring’s fat percentage. This explorative study investigates whether maternal early pregnancy lipid profile is associated with offspring’s lipids and glycaemic control independently of offspring’s fat percentage and if these associations are mediated by offspring’s fat percentage. Possible sex differences in these associations are also examined. Methods: 1133 mother-child pairs of the prospective ABCD-study were included. Maternal non-fasting lipids were collected in early pregnancy: triglycerides, total cholesterol (TC), Apolipoprotein A1 (ApoA1), Apolipoprotein B (ApoB) and free fatty acids (FFA). Fasting triglycerides, TC, high density lipoprotein (HDL), low density lipoprotein (LDL), glucose and C-peptide were assessed in offspring aged 5-6 years and HOMA2-IR was calculated. Results: After adjustment for covariates, strongest associations were found between maternal TC and offspring’s TC (boys β =0.141; 95%CI:0.074-0.207; girls β =0.268; 95%CI:0.200;0.336) and LDL (boys β =0.114; 95%CI:0.052;0.176; girls β =0.247; 95%CI:0.181-0.312, maternal ApoB and offspring’s TC (boys β =0.638; 95%CI:0.311-0.965; girls β =1.121; 95%CI:0.766-1.475) and LDL (boys β =0.699; 95%CI:0.393-1.005; girls β =1.198; 95%CI:0.868-1.529), and maternal ApoA1 and offspring’s HDL (only boys β =0.221; 95%CI:0.101-0.341). No significant association was found between maternal lipids and offspring’s glycaemic control, and offspring’s
Edinburgh Research Explorer Influence, infrastructure, and recentering cybercrime policing

We document and evaluate two emerging policing strategies that are reshaping how centralised law enforcement agencies deal with online cybercrime markets. The first of these strategies we term infrastructural policing, a strategy drawn from law enforcement campaigns to disrupt international drug markets which involves targeting the small number of administrators who maintain the infrastructure supporting cybercrime markets. The second, we term influence policing , a strategy drawn from the UK’s approach to counter - radicalisation, which involves the delivery of highly targeted messaging campaigns to potential customers. We illustrate these with a study of the online market for Denial of Service (DoS) attacks, conducting a quantitative longitudinal analysis of five years of time series attack data to establish the effect of these interventions on this illicit market. While arresting and sentencing key players had little lasting effect on DoS attacks (due to the jurisdictional issues which the Internet poses), after infrastructure administrators were targeted with takedowns there was a significant reduction in attacks and a dramatic reshaping of the market structure. Additionally, the use of search engine advertisements targeted at potential customers for these services in the UK was associated with a cessation in growth in attacks in this country. We interviewed law enforcement to explore the rationales behind the interventions, and also interviewed DoS attack providers and observed their online communication channels to explore these intervention effects in depth. From this, we argue that these emerging forms of online policing constitute (apparently successful) attempts by law enforcement to recenter themselves as key actors in online enforcement coalitions. This rests on them enrolling the capacities of the platform intermediaries who provide the very Internet infrastructure which so complicates traditional, jurisdictionally-bound forms of policing.
Circulation selvatique du virus Dengue 2 en 1980, dans les savanes sub-soudaniennes de Côte d'Ivoire. Données entomologiques et considérations épidémiologiques

La surveillance epidemiologique de la fievre jaune a permis d'isoler en 1980, 28 souches de virus dengue 2, a partir de lots de 4 especes de vecteurs potentiels de fievre jaune, selvatiques et primatophiles en Afrique de l'ouest, a savoir: Aedes furcifer, A. luteocephalus, A. opok et A. Africanus. La circulation du virus a pu etre decelee pendant une periode de 5 mois. L'homme parait ne pas avoir ete notablement implique dans cet episode viral et aucune forme grave n'a ete signalee
Effects of Dynamic Stretching Combined with Manual Therapy on Pain, ROM, Function, and Quality of Life of Adhesive Capsulitis

This study was conducted to evaluate the effects of dynamic stretching combined with manual therapy on pain, range of motion, function, and quality of life in patients with adhesive capsulitis. The participants were randomly divided into two groups: the dynamic stretching combined with manual therapy (DSMT) group (n = 17) and the static stretching combined with manual therapy (SSMT) group (n = 17). Both groups received manual therapy for 10 min and two sessions per week for 4 weeks. The DSMT group also performed additional dynamic stretching for 20 min per session, two sessions per week for 4 weeks. The SSMT group practiced additional static stretching for 20 min per session, two sessions per week for 4 weeks. The pain, ROM, function, and quality of life were measured and evaluated before and after treatment. There were significant improvements in the outcomes of pain, flexion and abduction of shoulder ROM, Shoulder Pain and Disability Index (SPADI), and the physical component score and mental component score of the Short Form-36 (SF-36) in both groups. Additionally, the external and internal rotation of the shoulder ROM and the SF-36 general health factor increased significantly more in the A group (DSMT group) compared to the B group (SSMT). In conclusion, dynamic stretching plus manual therapy offers the same results as static stretching plus manual therapy, but with additional improvement in internal and external rotation.
PUMA Promotes Bax Translocation by Both Directly Interacting with Bax and by Competitive Binding to Bcl-XL during UV-induced Apoptosis

Cell apoptosis induced by UV irradiation is a highly complex process in which different molecular signaling pathways are involved. p53 up-regulated modulator of apoptosis (PUMA) has been proposed as an important regulator in UV irradiation-induced apoptosis. However, the molecular mechanism through which PUMA regulates apoptosis, especially how PUMA activates Bcl-2-associated X protein (Bax) in response to UV irradiation is still controversial. In this study, by using real-time single-cell analysis and fluorescence resonance energy transfer, we investigated the tripartite nexus among PUMA, Bax, and Bcl-XL in living human lung adenocarcinoma cells (ASTC-a-1) to illustrate how PUMA promotes Bax translocation to initiate apoptosis. Our results show that the interaction between PUMA and Bax increased gradually, with Bax translocating to mitochondria and colocalizing with PUMA after UV irradiation, indicating PUMA promotes Bax translocation directly. Simultaneously, the interaction increased markedly between PUMA and Bcl-XL and decreased significantly between Bcl-XL and Bax after UV treatment, suggesting PUMA competitively binds to Bcl-XL to activate Bax indirectly. The above-mentioned results were further confirmed by coimmunoprecipitation experiments. In addition, pifithrin(a p53 inhibitor) and cycloheximide (a protein synthesis inhibitor) could inhibit PUMA-mediated Bax translocation and cell apoptosis. Together, these studies create an important conclusion that PUMA promotes Bax translocation by both by directly interacting with Bax and by competitive binding to Bcl-XL in UV-induced apoptosis.
Assessment of Left Atrial Phasic Volumes and Functions During Third Trimester of Healthy Pregnancy

Background: Conception represents a physiological progression associated with adaptations in the structure, blood flow dynamics, and operational aspects of the cardiac response to temporary alternation in both preload and afterload. Ventricular volume and LA dimensions gradually and continuously increase due to increasing cardiac output and preload. The increased volume burden during the last trimester aggravates the possible cardiovascular disorders. Limited echocardiographic information exists on left atrium (LA) volume and function during the third trimester of standard conception among Iraqi women. Aim: To estimate the capacity and functionality of the left atrium throughout the last trimester of standard conception. Methods: This research was carried out on 75 normal gravid females (cases ) and 75 nonpregnant females (control ); women were given attention at Al-Furat Teaching Hospital from the 1 of April 2022 to the 30 of May 2023, the comprehensive 2D echocardiographic study had been done for each one of them. Results: Pregnant women category revealed a high noteworthy rise in left atrial maximum volume LA Max, left atrial minimum volume (LA Min) and pre-atrial volume (LA Pre- A) hn contrast to nonpregnant women group vs. vs. and vs. respectively. As well, the study showed that in pregnant women group there is high significant increase in Left atrium reservoir capacity, Left atrium conduit role and LA booster duty vs. vs. vs. contrasted with control. Additionally, the total emptying fraction% , LA Active ejection fraction % significantly higher in pregnant women than the control , vs. while the LA Passive EF% had no significant difference between pregnant women about control . Conclusion: In normal gravid females in the last trimester, there is an increase in LA volumes(LA maximum volume, LA minimum volume, and LA pre-A volumes) and enhancement in LA reservoir capacity, conduit role, and booster functions by using 2DE, which can quickly assess LA phasic volumes and function.
A bound on the index of exponent-𝟒 algebras in terms of the 𝒖 -invariant

For a prime number 𝑝 , an integer 𝑒 ⩾ 2 and a field 𝐹 containing a primitive 𝑝 𝑒 -th root of unity, the index of central simple 𝐹 -algebras of exponent 𝑝 𝑒 is bounded in terms of the 𝑝 -symbol length of 𝐹 . For a nonreal field 𝐹 of characteristic different from 2 , the index of central simple algebras of exponent 4 is bounded in terms of the 𝑢 -invariant of 𝐹 . Finally, a new construction for nonreal fields of 𝑢 -invariant 6 is presented.
The Multi-Assumption Architecture and Testbed (MAAT v1.0): R code for generating ensembles with dynamic model structure and analysis of epistemic uncertainty from multiple sources

We appreciate the supportive and constructive nature of the reviews, and we thank the reviewers for their time and thoughtful comments. We have carefully considered each of the reviewers' comments and incorporated the majority of them in the revised manuscript which, in our view, has improved the clarity and structure of the manuscript. Please see below our detailed responses (added in blue for ease of reading, with direct quotations from the revised manuscript in bold) to each of the points made by each of the reviewers.
Mersin Photogrammetry Journal

Recent developments in mobile device technology and artificial intelligent systems took the attention of many researchers. Historical sites and landmarks are the indispensable heritage of cities. Historic landmark recognition, including detailed attribute information, can connect people directly with the history of the cities, although they may not be familiar with the impressive historical monument. This can be achieved by integrating mobile and deep learning technologies. Therefore, we focused on establishing a deep learning (DL) based mobile historic landmark recognition system in this study. The VGG (16, 19), ResNet (50, 101, 152), DenseNet (121, 169, 201) DL architectures were trained by end-to-end learning techniques for the recognition of ten historic landmarks from the metropolitan city of Istanbul, Turkey. The dataset was prepared by collecting images of ten historical buildings from the image hosting services. The developed prototype automatically and instantly recognizes these historic landmarks from scene images and immediately provides related historic information as well as route planning. The experimental results indicate that DenseNet-169 architecture is very effective for our dataset with 96.3% accuracy. This study has shown that deep learning offers a promising alternative means of recognizing historic landmarks.
Biomimetics of Extremophiles

Extremophiles are organisms capable of or dependent on living in extreme conditions which are considered toxic or deadly to other species. Their ability to thrive in such environments makes them interesting to study and promises a variety of coping mechanisms and unique traits which could be used in various ﬁelds. They could be especially promising in the ﬁeld of bioremediation of waste that is problematic for the environment because of its longevity and toxicity, like non-decomposable plastic waste or even radioactive material. This thesis starts with an overview on types of extremophiles and their methods of survival, and goes into detail on oil-and plastic degrading extremophiles. Their chemical and physiological mechanisms are expanded on, including reaction pathways for aliphatic, with open chained bonds, and aromatic, with one or more electron-unsaturated hexagonal rings, hydrocarbons, as well as the similarities and diﬀerences in bacterial, fungal and eucaryotic metabolisms. A few methods for biotechnological remediation of oil contamination are elaborated on. The environmental impact of plastic waste and the comparatively small number of plastic degrading microorgansisms is discussed. An overview of contributing factors in microbial plastic degradation is given, and recent discoveries of plastic degrading species prompts a closer look at the newly found biodegradation pathway of PET, the aromatic polymer polyethylene terephthalate, which is primarily used for manufacturing plastic bottles. Finally, the surface erosion of Kevlar samples was imaged with atomic force microscopy after the application of a laccase mediator system, an enzymatic treatment to test the biodegradability of this polymer ﬁber. The laccase mediator system utilizes laccase, an enzyme which catalyzes redox reactions, and makes use of the broad range of substrates which laccase can reduce, by using them as mediators for the reactions. This thesis is supposed to be the stepping stone to a biomimetic approach to biore-mediation. This means that this information should be the basis to learn from the exceptional abilities of extremophiles, to be able to copy mechanisms and methods into innovative technology and get ideas for smart bioremediation solutions.
Stop Word Lists in Document Retrieval Using Latent Semantic Indexing: an Evaluation

: Removing stop words is very useful for many text processing applications e.g. text/document retrieval, cross language translation, text categorization, text summarization etc. In this world, different language has different stop word lists, and those are useful for text processing applications. Literature claims that the use of such lists improves retrieval performance. The goal of this research is to evaluate the effect of using English stop word lists in Latent Semantic Indexing (LSI)-based information retrieval (IR) systems with large text dataset. Here, three different lists are compared: two were compiled by IR groups at the University of Glasgow, and the University of Tennessee, and the third one is our own list developed at the University of Northern British Columbia. We also examined the case where stop words were not removed from the input dataset. Our research finds that using tailored stop word lists improves retrieval performance. On the other hand, using arbitrary (non-tailored) lists or not using any list reduces the retrieval performance of LSI-based IR systems with large text dataset.
Ψ k Scientiﬁc Highlight Of The Month

We report on progress in the Questaal, a CCP9 ﬂagship electronic structure package written for electronic structure methods of the future. Questaal has a density-functional implementation with many features similar to other large scale packages, but its unique features are in its implementation of Green’s function methods. Questaal has a two-track implementation of Green’s functions: through many-body perturbation theory and through Dynamical Mean Field theory. The ﬁrst path is based on the Quasiparticle Self-Consistent GW (QS GW ) approximation. This is important because QS GW does not rely on DFT, which dramatically improves on the quality and reliability of MBPT. We show how, in contrast to DFT-based GW , QS GW predicts one-particle properties such as energy band structures, and two-particle properties such as susceptibilities, in a consistent and uniform manner, provided spin ﬂuctuations are not strong. DMFT provides the essential additions to QS GW to handle spin ﬂuctuations. We show how extensions to QS GW can provide a high-ﬁdelity description of both one-and two particle properties for a remarkably wide range of properties and materials systems. We show how some extensions of QS GW +DMFT provides a promising path for ab initio description of unconventional superconductivity. Questaal is a suite of several codes. One is a layer code, based in density functional theory, that implements non-equilibrium transport in Landauer-Buttiker approximation. Some novel features and applications are outlined. There is also emerging a new functionality
Implications of Perceived Utility on Individual Choice and Implications of Perceived Utility on Individual Choice and Preferences: A New Framework for Designing Recommender Preferences: A New Framework for Designing Recommender System System

Consumer psychology and consumer behaviour has constantly been a field of interest for the researchers. Volumes of researches are available in this area, still new theories and concepts keep emerging in response to change in context and environment. Consumer psychology has large cross disciplinary implications. In this paper, a relationship between consumer psychology and recommender system has been explained and how implementing a consumer psychology model can improve recommender system performance. This paper also gives first level analysis of various filters that can be developed along with the design of recommender system in order to generate a more refined and relevant choice sets. There are attraction effects observed among different items and the attractiveness of a product is co-dependent on attractiveness of other options available in a choice set. In the present paper, we have explored the utility of defender model in the design of recommender systems. Different effects like decoy and asymmetric dominance are also analyzed to achieve better efficiency and effectiveness in the design of recommender system.
Energy-dissipation anomaly in systems of localized waves

We study the statistics of the power P dissipated by waves propagating in a one-dimensional disordered medium with damping coefﬁcient ν . An operator imposes the wave amplitude at one end, therefore injecting a power P that balances dissipation. The typical realization of P vanishes for ν → 0: Disorder leads to localization and total reﬂection of the wave energy back to the emitter, with negligible losses. More surprisingly, the mean dissipated power (cid:3) P (cid:4) averaged over the disorder reaches a ﬁnite limit for ν → 0. We show that this “anomalous dissipation” lim ν → 0 (cid:3) P (cid:4) is directly given by the integrated density of states of the undamped system. In some cases, this allows us to compute the anomalous dissipation exactly, using properties of the undamped system only. As an example, we compute the anomalous dissipation for weak correlated disorder and for Gaussian white noise of arbitrary strength. Although the focus is on the singular limit ν → 0, we ﬁnally show that this approach is easily extended to arbitrary ν .
Substrate Stiffness and Adhesivity Influence Neuron Axonal Substrate Stiffness and Adhesivity Influence Neuron Axonal Growth Growth

The nervous system is a complex organ system that coordinates all of the actions of an animal. The transmission of signals between different body parts by this organ system allows the body to function as a whole and interact with the external environment. It is clear then that the nervous system is integral to the function and survival of those organisms in which it has developed; and yet much is lacking in our understanding of the system’s key constituents: neuronal cells or, neurons . In satisfaction of the Honors Thesis, this research investigates how certain conditions of the extracellular environment affect neuron growth. Growth substrates were developed to present two such conditions – substrate stiffness and adhesive ligand coating density – to cultured neurons at quantities reflecting in vivo values that are hypothesized to result in optimal growth. Once working culture methods were established for the growth of neurons on these substrates, imaging and data collection techniques were developed to characterize the growth of these cells and produce a qualitative and quantitative understanding of how neuron growth is influenced by the environmental conditions of interest. While specialized growth substrates were successfully developed and methods of data collection were validated with some preliminary data confirming the basic hypothesis, further refinement of culturing techniques will be required to grow sufficient densities of neurons to provide a more complete picture of the interplay of influence between the substrate properties of stiffness and adhesivity.
Results in Physics

The uncertainty principle imposes a limitation on the measurement accuracy of two incompatible observables and has potential applications in quantum information science. We explore the bipartite entropic uncertainty relation and dense coding for two qubits coupled via dipole–dipole interaction and subject to a bosonic reservoir. It is shown that there exists a trade-off between the uncertainty bound and the dense coding capacity which results in their opposite dynamical behaviors. Moreover, the behaviors of the measurement uncertainty and the dense coding capacity rely crucially on the initial system–reservoir correlation, the strength of the dipole–dipole interaction, and the degree of non-Markovianity, and one can reduce the measurement uncertainty and enhance the dense coding capacity by tuning these parameters to appropriate values.
Of The

In recent years many theoretical approaches and computational codes have been developed to study optical response of bulk materials, ranging from many-body perturbation theory to density functional like methods. However the major part of these approaches are limited to the linear optical regime. The few that are formulated in real-time are based on time-dependent density functional theory, an approach where it is di � cult to include correlation e ↵ ects especially for solids. In order to overcome these di � culties some years ago we devised a new real-time computational approach based on dynamical Berry phase plus many-body perturbation theory. This approach is particularly suited to study nonlinear optical properties in crystalline solids and periodic nanostructures. In this highlight we present an introduction to nonlinear optics in solids and how the nonlinear response can be obtained by means of real-time simulations including correlation e ↵ ects.