Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of Non-Soy Isoflavone (Pueraria phaseoloides) on The Symptoms Severity Scoring by Kupperman Index in Menopausal Women

Introduction: Menopause is defined by a decline in estrogen levels, which causes various symptoms. Treatments based on foods or supplements enriched in phytoestrogens, notably isoflavones, plant-derived compounds with estrogenic effects, have recently become quite popular. This study aims to see how effective non-soy isoflavone supplementation is for menopausal symptoms in women. Methods: 26 menopausal women were given 67.5 mg of non-soy isoflavone, and 25 menopausal women were given a placebo daily for 12 weeks in an analytical double-blind, randomized clinical trial (RCT). Inclusion criteria were (1) RCT, (2) perimenopausal or postmenopausal women experiencing menopausal symptoms, (3) intervention with an oral non-soy isoflavone. Symptoms Severity Score (SSS) based on the Kupperman index (KI) questionnaire was administered to the patients before starting and at the end of the study. The Statistical Package for Social Sciences (SPSS) software was used to analyze the responses. Results: The difference in SSS scores between the treatment and control groups was significant (p = 0.000). Women receiving 67.5 mg of non-soy isoflavone daily, reduced myalgia, fatigue, and hot flushes by 92.3%, 77%, and 53.8%, respectively. For clinical significance rating, relative risk reduction (RRR) is used. A significant RRR value resulted from myalgia symptoms (76.6%), fatigue (55.7%), hot flushes (39.2%), and SSS (68.7%). Conclusion: Isoflavones did not bring a significant change in Kupperman Index compared to placebo but provided significantly improved Symptoms Severity Scoring in menopausal women.
Temporal Data Pooling With Meta-Initialization for Individual Short-Term Load Forecasting

The growth of advanced metering infrastructure (AMI) deployment has enabled intelligent power control and management at the customer level; Highly accurate individual short-term load forecasting is crucial for this precise control per customer. Recently, deep learning has been widely adopted to improve forecasting accuracy. However, training an individual deep network (local training) has overfitting issues due to data paucity per customer. Thus, a pooling scheme has been introduced to augment a training dataset by batching several customers’ data. Nevertheless, there is room for existing pooling approaches to further improve accuracy by considering distribution heterogeneity within a customer dataset. In addition, their static pool assignment only with a customer’s training dataset may cause accuracy degradation under concept drift in serving time. To overcome these, we propose a Temporal Data Pooling (TDP) that constructs data pools at the data sample level with a novel distribution inference method and theoretical analysis. It allows the most probable forecasting model to serve predictions while resolving data shortage issues in local training. The TDP outperforms the other six competing methods for point and probabilistic forecasting; it shows robust accuracy under concept drift. Moreover, it demonstrates superior accuracy for unseen customers without additional training, proving its scalability.
Fuel scarcity or household wealth? Assessing the drivers of cooking energy consumption patterns in rural areas in East Africa

ABSTRACT Rural households in Tanzania and Mozambique depend mainly on charcoal, firewood and other traditional fuels, such as cow dung or agriculture by-products, to cook. Simultaneously, fuel scarcity is an important phenomenon that leads households to apply coping strategies such as reducing the number of meals or increasing walking distance to collect firewood. Despite the well-known negative health, economic and potential ecologic impacts, the transition away from solid biomass energy sources is not expected in the short run. Thus, understanding the patterns of biomass energy consumption is essential to allow sustainable development in the household cooking sector. In this study, we evaluated the influence of wealth status and fuelwood scarcity on household energy choices in four villages with case study sites in Mozambique and Tanzania. The fuel usage patterns are consistent with the ‘energy stacking’ model as, despite an increase in the consumption of charcoal, firewood remains the principal cooking fuel. Wealth does not necessarily result in a transition toward cleaner fuels, nor does scarcity result in the use of other forms of traditional bioenergy. We suggest the promotion of fuel reduction strategies such as improved cookstoves or the implementation of on-farm trees to reduce the pressure on forests.
Image Encryption by Structured Phase Encoding and Its Effectiveness in Turbulent Medium

Structured light carrying optical vortices have gained significant attention in information security as they offer high-dimensional orthogonal states for encoding. These states are usually associated with the orbital angular momentum of light. In this letter, we demonstrate a novel method for binary image encryption using structured phase encoding. The structured phase is obtained by multiple lattices of spatially distributed phase singularity points with varying azimuthal indices. It has been shown that data encoding using orthogonal sets of optical vortex modes enable noise-free decryption and provide robustness against atmospheric turbulence in short propagation distance.
A spectral solution of the magneto-convection equations in spherical geometry

A fully three-dimensional solution of the magneto-convection equations-the nonlinearly coupled momentum, induction and temperature equations-is presented in spherical geometry. Two very different methods for solving the momentum equation are presented, corresponding to the limits of slow and rapid rotation, and their relative advantages and disadvantages are discussed. The possibility of including a freely rotating, finitely conducting inner core in the solution of the momentum and induction equations is also discussed.
Drug Retention and Safety of Secukinumab in a Real-World Cohort of Ankylosing Spondylitis and Psoriatic Arthritis Patients

Real-life data that support effectiveness of secukinumab (SEC), an interleukin 17A inhibitor, in Poland are few. We aimed to evaluate SEC effectiveness based on drug retention and safety measures reported in electronic medical records (EMRs) of patients with psoriatic arthritis (PsA) and ankylosing spondylitis (AS) from two tertiary-care centers in the region of Lesser Poland. A total one-hundred eighty seven (127 PsA and 60 AS) first (n = 112), second (n = 59) and third-line SEC users were enrolled. The mean (SD) age of the sample was 45.7 (12.9), and 48% were male. All patients were classified with active and severe disease prior to initiation. Administrative delays for SEC users last a median 2 weeks. Median delay from symptom onset to diagnosis was 4 years (IQR 8), and differed by predominant disease subtype. The inefficacy rate was 10.7% and 18.6% for first and second-line users with median (IQR) drug maintenance estimated at 1.22 years (1.46) and 1.51 (1.38), respectively. First-year drug loss defined as drug switch due to inefficacy or adverse event was rare, with median estimates of 0.91 (95% CI; 0.85, 0.97) and 0.86 (95% CI; 0.77, 0.95) for first and second-line, respectively.
Application of self-organising neural networks in robot tracking control

The use of a self-organising neural network as a feedforward compensator for robot tracking control applications is proposed. The topology of the input space is adaptively mapped onto a set of neurons where each neuron represents a discrete cell in the input domain. Within each cell, a linear mapping is established between the input and output space. The training of such a network involves training of a weight vector that represents the topology of the input space and weight vectors (action space weights) that linearly code an input pattern to action space. In the first phase of network training, a ‘neural-gas’ algorithm is employed for learning the topology of the input space while weight vectors representing control action space is learned by backpropagating feedback control action. During this phase of learning, the weights associated with neurons in the neighbourhood of winning neurons are also updated. In the second stage, a recursive least squares based estimation scheme is applied to fine tune the action space weights associated with winning neurons only, without disturbing the input topology map learned in the first phase. The proposed scheme has been compared with multilayered network (MLN) and radial basis function network (RBFN) based inverse dynamics learning schemes. Simulation results show that the proposed scheme has better generalisation capability than both MLN and RBFN.
Evaluation of Peri-Implant Crestal Bone Loss with Different Implant Systems, Primary Stability, Bone Density and Soft Tissue Thickness: A Retrospective Study.

AIM The purpose of this retrospective study was to compare, among various implant systems, the influence of primary stability and the bone density and soft tissue biotype of the patient on the amount of peri-implant crestal bone loss after 1 year using radiography. MATERIALS AND METHODS Included in this retrospective study were patient records of 3583 implant placements utilized from an online dental information archiving software (DIAS). Clinical and radiographic assessments were conducted concurrently with implant placement (baseline) and 1 year post surgery. Statistical analysis was done to examine the mean marginal bone loss significance in the three different implant systems groups (group I: Straumann Roxolid SLAc-tive, group II: Nobel Biocare CC, group III: Straumann SLA), different primary stability values, different bone density. and soft tissue biotype at the time of implant placement. RESULTS A significant difference was observed in the crestal bone loss with different implant systems used. Group I showed significantly lesser amounts of crestal bone loss when compared to groups II and III. However, the differences in the bone density, ISQ values, and the soft tissue biotype did not exhibit a statistically significant difference in the amount of crestal bone loss. CONCLUSION Significant MBL preservation for implants with Straumann SLActive when compared to Nobel Biocare CC and Straumann SLA implants. No significant changes were observed with respect to primary stability, bone density, and soft tissue thickness and no correlation among early crestal bone loss and IT, ISQ at surgery, and ISQ at reopening was observed. Straumann Roxolid SLActive implants showed less crestal bone loss probably owing to its hydrophilic surface modification. However, more studies need to be done to evaluate the same.
Risk Factors for the Development of Atrial Fibrillation in the Kazakh Patients

BACKGROUND: Atrial fibrillation (AF) is the most common persistent heart rhythm disorder. AIM: Assessment of clinical predictors of atrial fibrillation in the Kazakh population. METHODS: An analytical clinical and epidemiological study of 75 patients with AF of Kazakh nationality. Descriptive analysis of medical records was carried out and the results of laboratory and instrumental research methods. Statistical analysis was carried out using the Statistica 6.0 Software package from StatSoft Inc. (USA) and MS Excel. RESULTS: In the majority of the studied patients (86.7%), atrial fibrillation was associated with hypertension, in 49.3% of patients was diagnosed with coronary artery disease. A permanent form of atrial fibrillation was observed in 63%, in 20% AF manifested itself in the form of paroxysms, in 17% AF was persistent. AF, which arose against the background of CHF, was established in 41.3% of the patients studied by us, while a decrease in LVEF below 40% was observed in 21.3% of the examined patients. In our study, diabetes mellitus was diagnosed as a comorbid pathology in 24% of patients and diabetes mellitus correlated with permanent AF in 66.7%. Thyroid pathology was observed in 9.3% cases. CRHD as a concomitant disease occurred in 12% of cases. In 5.7% of cases, AF was registered as idiopathic (primary) without a history of cardiovascular and concomitant pathology. Smoking as a risk factor was observed in 16%, alcohol consumption, was noted by 8 patients (10.7%). In 40% of cases, patients with AF were obese, 45.3% of the patients were overweight (BMI ≥25).
The Dependence of QPF on the Choice of Boundary- and Surface-Layer Parameterization for a Lake-Effect Snowstorm

AbstractSix forecasts of a lake-effect-snow event off Lake Erie were conducted using the Weather Research and Forecasting Model to determine how the quantitative precipitation forecast (QPF) was affected when the boundary- and surface-layer parameterization schemes were changed. These forecasts showed strong variability, with differences in liquid-equivalent precipitation maxima in excess of 20 mm over a 6-h period. The quasi-normal scale elimination (QNSE) schemes produced the highest accumulations, and the Mellor–Yamada–Nakanishi–Niino (MYNN) schemes produced the lowest. Differences in precipitation were primarily due to different sensible heat flux FH and moisture flux FQ off the lake, with lower FH and FQ in MYNN leading to comparatively weak low-level instability and, consequently, reduced ascent and production of hydrometeors. The different FH and FQ were found to have two causes. In QNSE, the higher FH and FQ were due to the decision to use a Prandtl number PR of 0.72 (all other schemes use a PR of.
Correlative Raman–Electron–Light (CREL) Microscopy Analysis of Lipid Droplets in Melanoma Cancer Stem Cells

Among all neoplasms, melanoma is characterized by a very high percentage of cancer stem cells (CSCs). Several markers have been proposed for their identification, and lipid droplets (LDs) are among them. Different techniques are used for their characterization such as mass spectrometry, imaging techniques, and vibrational spectroscopies. Some emerging experimental approaches for the study of LDs are represented by correlative light–electron microscopy and by correlative Raman imaging–scanning electron microscopy (SEM). Based on these scientific approaches, we developed a novel methodology (CREL) by combining Raman micro-spectroscopy, confocal fluorescence microscopy, and SEM coupled with an energy-dispersive X-ray spectroscopy module. This procedure correlated cellular morphology, chemical properties, and spatial distribution from the same region of interest, and in this work, we presented the application of CREL for the analysis of LDs within patient-derived melanoma CSCs (MCSCs).
Comments on “Frictional Dissipation in a Precipitating Atmosphere”

Abstract Pauluis et al. argue that frictional dissipation of energy around falling hydrometeors is an important entropy source in the tropical atmosphere. Their calculations suggest that the frictional dissipation around hydrometeors is about ⅓ of the work available from a reversible convective heat engine. Moreover, based on the residual of the energy budget of a numerical model, not shown in their note, the authors argue that irreversible entropy sources due to diffusion of water vapor and phase changes reduce the mechanical work available from the convective heat engine by about ⅔. Pauluis et al. conclude that only a tiny fraction of the energy potentially available from a convective heat engine is used to perform work. Renno and Ingersoll show that frictional heating can be easily included in the heat engine framework via increases in the thermodynamic efficiency of a reversible heat engine. It is shown that the effect of any other irreversible process is merely to reduce the thermodynamic efficiency .
Cannabis sativa Cannabinoids as Functional Ingredients in Snack Foods—Historical and Developmental Aspects

The published health benefits of Cannabis sativa has caught the attention of health-conscious consumers and the food industry. Historically, seeds have long been utilized as a food source and currently there is an increasing number of edibles on the market that contain cannabis. Cannabinoids include the psychoactive constituent, delta-9-tetrahydrocannabinol (THC), and the non-psychoactive cannabidiol (CBD) that are both compounds of interest in Cannabis sativa. This paper looks at the distribution of nutrients and phytocannabinoids in low-THC Cannabis sativa, the historical uses of hemp, cannabis edibles, and the possible side-effects and concerns related to cannabis edibles. Several authors have pointed out that even though the use of cannabis edibles is considered safe, it is important to mention their possible side-effects and any concerns related to its consumption that negatively influence consumer acceptance of cannabis edibles. Such risks include unintentional overdose by adults and accidental ingestion by children and adolescents resulting in serious adverse effects. Therefore, cannabis edibles should be specifically packaged and labelled to differentiate them from known similar non-cannabis edibles so that, together with tamperproof packaging, these measures reduce the appeal of these products to children.
SAMBA a new beamline at SOLEIL for x-ray absorption spectroscopy in the 4–40 keV energy range

The design of a new beamline dedicated to X-ray Absorption Spectroscopy (XAS) at the French synchrotron radiation laboratory SOLEIL is under development. This beamline dedicated to large and varied scientific communities from physics to chemistry and biology will be characterised by a lot of techniques combined to XAS, such as X-ray Diffraction, Differential Scanning Calorimetry, Raman Spectroscopy and UV-Visible Spectroscopy. The design of the SAMBA optics will be optimised in order to be very versatile, to cover the 4–40 keV energy range with a high photon flux and a good energy resolution. Measurements of the absorption coefficients will be done either in the step by step mode or in a quick mode. The beamline should be in operation in 2006. This paper summarizes its technical characteristics and calculated performances. Typically the performance would be at 10 keV around 1012 ph/s in a 200 × 200 μm2 beam spot.
Construction of Chained True Score Equipercentile Equatings under the Kernel Equating (KE) Framework and Their Relationship to Levine True Score Equating. Research Report. ETS RR-09-24.

In this paper, we develop a new chained equipercentile equating procedure for the nonequivalent groups with anchor test (NEAT) design under the assumptions of the classical test theory model. This new equating is named chained true score equipercentile equating. We also apply the kernel equating framework to this equating design, resulting in a family of chained true score equipercentile equating functions, which include the Levine true score equating model as a special case.
The Gaits of Bipedal and Quadrupedal Animals

The gaits of reptiles, birds, and mammals are reviewed. It is shown that mammals of different sizes tend to move in dy namically similar fashion whenever their Froude numbers u2/gh are equal: here u is speed, g is the acceleration of free fall, and h is the height of the hip joint from the ground. The gaits of turtles and people are examined in detail. The gaits of turtles appear to reduce unwanted displacements (pitch, roll, etc.) to the minimum possible for animals with such slow muscles. The patterns of force exerted in human walking and running minimize the work required of the muscles at each speed. Much of the energy that would otherwise be neededfor running, by people and other large mammals, is saved by tendon elasticity.
Reverse Biased Annealing Studies in Hydrogenated Amorphous Silicon Solar Cells

The effect of reverse biased annealing treatment in a-Si:H solar cells has been studied by using reverse current-voltage and forward capacitance-voltage measurements. The increase in reverse current at higher reverse biases in current-voltage characteristics and the anomalous peak in forward capacitance-voltage characteristics are attributed to the defect state at p-i interface. On the reverse biased annealing treatments, the reverse current as well as the peak in the forward capacitance decreases. This behaviour has been explained by passivation of the interface states, presumably due to hydrogen ions which are assisted by the applied electric field while annealing.
A chain rule for differentiation with applications to multivariate hermite polynomials

A chain rule is given for differentiating a multivariate function of a multivariate function. In the univariate case this chain rule reduces to Faa de Bruno's formula. Using this, a simple procedure is given to obtain the rth order multivariate Hermite polynomial from the rth order univariate Hermite polynomial.
Some classification problems in four-dimensional geometry: distributions, almost complex structures, and generalized Monge-Ampere equations

Three related classification problems on four-manifolds are discussed. First, regular distributions are considered and described locally. After that a classification of almost complex structures of general position in terms of distributions is proposed. Finally, non-degenerate generalized Monge-Ampere equations are classified in terms of {e}-structures. Symplectic Lie algebras are also considered in an appendix.
ON SIZE INCREASE FOR GOODNESS OF FIT TESTS WHEN OBSERVATIONS ARE POSITIVELY DEPENDENT

We investigate the effect of positive dependence (in particular, of positive correlation) between observed data on the tests of simple and composite hypotheses based on disparities between empirical and theoretical probabilities of fixed bins in the observation space. We show that the experimental as well as theoretical conclusions achieved previously for the Pearson chi squared tests remain valid in the whole class of disparity tests under consideration. In the case of positively correlated Gaussian observations we investigated by the Monte Carlo method the effect of dependence on the power divergence tests, where the test of power 3 emerged as the most resistant to this undesirable effect.
Social Support and Loneliness among Chinese Rural-to-Urban Migrant Children: A Moderated Mediation Analysis of the Roles of Social Competence and Stress Mindset

Social support has been an important social-contextual protective factor against loneliness. However, how individual-level protective factors, such as social competence and a positive stress mindset, may jointly influence the relationship between social support and loneliness is less known. This study examined to what extent the link between social support and loneliness would be mediated by social competence and moderated by stress mindset among migrant children. In total, 198 rural-to-urban migrant children aged 10–14 years (56.1% girls) in Beijing, China, completed a set of self-reported questionnaires. A moderated mediation analysis was performed. We found that perceived social support was associated with a lower level of loneliness, and this association was significant only for migrant children holding a positive stress mindset (indicated by a high ratio of the stress-is-a-challenge mindset to the stress-is-a-threat mindset). Notably, across children with different stress mindsets, perceived social support was indirectly related to a lower level of loneliness through greater social competence. Our findings suggest that social competence and a stress-is-a-challenge mindset are important individual-level protective factors for migrant children to overcome loneliness. Social competence can carry the effect of social support, and a stress-is-a-challenge mindset can optimize the effect of environmental resources on mental health.