Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint Local Correlation and Global Contextual Information for Unsupervised 3D Model Retrieval and Classification

Unsupervised 3D model analysis has attracted tremendous attentions with the increasing growth of 3D model data and the extensive human annotations. Many effective methods have been designed to address the 3D model analysis with labeled information, while rare methods devote to unsupervised deep learning due to the difficulty of mining reliable information. In this paper, we propose a novel unsupervised deep learning method named joint local correlation and global contextual information (LCGC) for 3D model retrieval and classification, which mines the reliable triplet set and uses triplet loss to optimize the deep neural network. Our method proposes two schemes: 1) Local self-correlation information learning, which adopts the intra and inter information to construct the view-level triplet set. 2) Global neighbor contextual information learning, which employs the neighbor contextual information to explore the reliable relations among 3D models and construct the model-level triplet set. The above schemes encourage that the selected triple set can been used to improve the discrimination of learned features. Extensive evaluations on two large-scale datasets, ModelNet40 and ShapeNet55, have demonstrated the effectiveness of our proposed method.
Adsorption of volatile polonium species on metals in various gas atmospheres: Part III – Adsorption of volatile polonium on stainless steel 316L

Abstract This article summarizes the results obtained studying the interaction between polonium and stainless steel 316L in different atmospheres by the thermochromatography method. This issue is particularly important in terms of licensing of the MYRRHA prototype ADS reactor, where highly radiotoxic α-emitting polonium isotopes are produced in lead-bismuth eutectic used as both spallation target material and coolant, while stainless steel 316L is going to be the main structural material. The polonium adsorption enthalpy on stainless steel 316L in inert atmosphere was measured as −147±6 kJ mol−1. The findings obtained using reducing atmospheres show that the affinity of polonium for stainless steel 316L increases with the metallic character of the stainless steel surface. The presence of moisture in inert and reducing atmosphere does not significantly influence the polonium adsorption. Oxidizing atmospheres induce the formation of polonium dioxide which has a stronger interaction with the stainless steel 316L, with an adsorption enthalpy of −225±6 kJ mol−1. A prolonged exposure of the stainless steel to strong oxidants, such as pure oxygen, reduces the metallic character of the stainless steel surface and, consequently, its affinity to the polonium oxide. Furthermore, it was found that in all experiments at least 5 ppm of the total polonium present in the starting material were not retained on the stainless steel 316L surface at all.
“I didn’t know you could do that”: A Pilot Assessment of EHR Optimization Training

Abstract Background Informatics tools within electronic health records (EHRs)—for example, data rosters and clinical reminders—can help disseminate care guidelines into clinical practice. Such tools' adoption varies widely, however, possibly because many primary care providers receive minimal training in even basic EHR functions. Objectives This mixed-methods evaluation of a pilot training program sought to identify factors to consider when providing EHR use optimization training in community health centers (CHCs) as a step toward supporting CHC providers' adoption of EHR tools. Methods In spring 2018, we offered 10 CHCs a 2-day, 16-hour training in EHR use optimization, provided by clinician trainers, and customized to each CHC's needs. We surveyed trainees pre- and immediately post-training and again 3 months later. We conducted post-training interviews with selected clinic staff, and conducted a focus group with the trainers, to assess satisfaction with the training, and perceptions of how it impacted subsequent EHR use. Results Six CHCs accepted and received the training; 122 clinic staff members registered to attend, and most who completed the post-training survey reported high satisfaction. Three months post-training, 80% of survey respondents said the training had changed their daily EHR use somewhat or significantly. Conclusion Factors to consider when planning EHR use optimization training in CHCs include: CHCs may face barriers to taking part in such training; it may be necessary to customize training to a given clinic's needs and to different trainees' clinic roles; identifying trainees' skill level a priori would help but is challenging; in-person training may be preferable; and inclusion of a practice coach may be helpful. Additional research is needed to identify how to provide such training most effectively.
Can specific pre-workout meals reduce bone resorption in young gymnasts?

: The pre-adolescence in woman is a key stage to obtain adequate bone mineral content and to decrease the risk of osteoporosis in adulthood. Exercise and adequate nutrition can influence the bone growth process. The aim of this paper was to verify if a different pre-exercise meal can change exercise-induced bone resorption in female child artistic gymnasts. Twenty-eight preadolescent female were requited for this study. Training was preceded by high-carbohydrate meal (HCM; 300 kcal, 88% carbohydrates, 9% protein, 3% fat) or high protein meal (HPM; 300 kcal, 55% carbohydrates, 31% protein, 13% fat) ninety minutes before the start of the training session. Bone resorption biomarker, C-terminal telopeptide region of collagen type 1 (CTX), were analyzed from the urine sample collected pre and post meal and post-gymnastics workout. Pre-exercise eating habits were examined by a validated short food frequency question (FFQ) for children. The group with HCM significantly reduces bone resorption post-exercise by decreasing CTX levels more than HPM group. The FFQ shows that about 30% of the children, of both groups, do not have regularly pre-exercise eating habits. In conclusion, HCM prior to high intensity physical activity seems to reduce acute post-exercise bone resorption in pre-pubertal age gymnasts. The analysis of the pre-exercise eating habits indicate that there is variability in the frequency and timing of meal consumption before exercise.
Image2SMILES: Transformer-based Molecular Optical Recognition Engine

The rise of deep learning in various scientific and technology areas promotes the development of AI-based tools for information retrieval. Optical recognition of organic structures is a key part of the automated extraction of chemical information. However, this is a challenging task because there is a large variety of representation styles. In this research, we present a Transformer-based artificial neural network to convert images of organic structures to molecular structures. To train the model, we created a comprehensive data generator that stochastically simulates various drawing styles, functional groups, functional group placeholders (R-groups), and visual contamination. We demonstrate that the Transformer-based architecture can gather chemical insights from our generator with almost absolute confidence. That means that, with Transformer, one can fully concentrate on data simulation to build a good recognition model. A web demo of our optical recognition engine is available online at Syntelly platform.
Fully-Decentralized Optimal Power Flow of Multi-Area Power Systems Based on Parallel Dual Dynamic Programming

In this paper, we propose a parallel dual dynamic programming (PDDP)-based decentralized algorithm for the multi-area optimal power flow (MAOPF), which can preserve the information privacy and operational independence of each area. The MAOPF problem is decomposed into a series of subproblems for individual areas by the dual dynamic programming (DDP) algorithm, and the Benders cut-based value functions are used to reflect the impacts of one area’s decisions to the subsequent areas. The optimal solution of MAOPF can be obtained in a decentralized fashion, requiring only a limited amount of information exchange among neighbor areas. Moreover, a parallel processing technique is designed to avoid the waiting process of the basic DDP algorithm, thus accelerating the computing speed of the proposed decentralized algorithm. Compared with the existing decentralized algorithms, the proposed algorithm has better performance in terms of convergence and computational efficiency. In addition, there is no need for parameter tuning. Case studies on several IEEE test systems and a real 2298-bus system demonstrate the effectiveness of the proposed algorithm.
Does Sterilization Policy Exert an Upward Pressure on Interest Rate as Dictated by Theory? A Nigerian Example

The implications of capital inflows on the economy and the fall out of the policy geared towards addressing these phenomena, especially the impact of the policy on interest rate motivated us in this study. Under the framework of ARDL and using monthly series over a period of 2010M1-2021M3, our findings showed that in the short-run, sterilization policy leads to rising interest rate in the current period. However, after a lag, sterilization policy depresses interest rate. We equally found that in the long-run, sterilization policy pushes interest rate up. In another direction, we observed a negative relationship between money supply and interest rate both in the short-run and in the long-run and the exogenous variables in the model influence interest rate significantly. We therefore recommend that different measures should be adopted to cushion the effect of unsustainable capital inflows to avoid repeated need for further sterilization and the increasing cost of sterilization in the long-run. It is also our advice that exogenous variables should be factored in when fashioning out a desirable interest rate in line with economic reality. This study contributes to the existing literature by exploring whether the implementation of sterilization policy raises domestic interest rate in Nigeria as suggested by theory. We conducted this study by adopting a relevant proxy for sterilization policy which previous studies did not put into consideration.
DGEBA/imidazolium ionic liquid systems: the influence of anions on the reactivity and properties of epoxy systems

Abstract Imidazolium salts containing , , , , or ionic liquids were blended with an epoxy prepolymer, dyglycidylether of bisphenol A (DGEBA) to obtain a series of compositions. To characterize the resulting mixtures and determine the influence of the imidazolium anion on the reactivity and properties of epoxy systems, we performed the following analyses and tests: (i) differential scanning calorimetry (DSC), to determine the curing reaction characteristics, (ii) in situ fourier-transform infrared spectroscopy (FTIR), to assess chemical structure changes, (iii) mechanical property testing of the hardened epoxy material, and (iv) thermogravimetric analysis (TGA). The DSC and FTIR analyses indicate that [Hmim]BF4, and [Hmim]PF6 cannot induce the epoxy ring opening reaction and thus these materials are unable to function as epoxy curing agents. In contrast, the imidazolium ionic liquids [Hmim]FeCl4, [Hmim]N(CN)2, and [Hmim]Zn2Cl5 independently promote the epoxy ring opening reaction. TGA analyses show that the cured DGEBA/[Hmim]Zn2Cl5 system exhibits thermal stability similar to the cured DGEBA/[Hmim]FeCl4. These results can provide an essential reference not only for studying the synergistic effect of [C6mim]FeCl4/mixed-amines on the curing process of epoxy systems and the mechanism of the ring opening of epoxides with [C6mim]FeCl4/mixed-amines, but also for designing new epoxy curing systems.
A Methodology for Implementing a Digital Twin of the Earth’s Forests to Match the Requirements of Different User Groups

Europe has acknowledged the need to develop a very high precision digital model of the Earth, a Digital Twin Earth, running on cloud infrastructure to bring data and end-users closer together. We present results of an investigation of a proposed submodel of the digital twin, simulating the worlds’ forests. We focus on the architecture of the system and the key user needs on data content and access. The results are based on a user survey showing that the forest-related communities in Europe require information on contrasting forest variables and processes, with common interest in the status and forecast of forest carbon stock. We discuss the required spatial resolution, accuracies, and modelling tools required to match the needs of the different communities in data availability and simulation of the forest ecosystem. This, together with the knowledge on existing and projected future capabilities, allows us to specify a data architecture to implement the proposed system regionally, with the outlook to expand to continental and global scales. Ultimately, a system simulating the behaviour of forests, a digital twin, would connect the bottom-up and top-down approaches of computing the forest carbon balance: from tree-based accounting of forest growth to atmospheric measurements, respectively.
The Problem of Majority Voting in Crowdsourcing with Binary Classes

When there are two classes, a majority vote can always be obtained with three labelers. Researchers can utilize this property to obtain a false sense of confidence in their ground truth labels. We demonstrate such a case with 3000 crowdsourced labels for an online hate dataset. Evaluating with percentage agreement, Gwet’s AC1
Influence of Nonoperative Treatments for Subacromial Shoulder Pain: A Review Article

Sub-acromial pain syndrome (SAPS) in overhead athletes is the most common reason for shoulder pain. As a rational decision, the medical treatments of today will likely be the best cure for this particular population. Conservative techniques are generally utilised to treat inflammation and pain through electrophysical approaches or to control the subacromial space to avoid impingement by rotator cuff and scapular muscle exercises, as the SAPS (subacromial pressure) mechanism remains unclear. The aim of this analysis is to assess the efficiency of these measures for pain reduction and function improvement. The literature, the best research source to be used, was searched using such search engines as PubMed, Medline, and Google Scholar. The articles were chosen in a manner that relates to the study objective and also their scientific relevance. This research may inform that in subjects with a reduced subacromial space, exercise can have a greater impact on overhead athletes. The effectiveness of centred therapy with Extracorporeal Shockwave (ESWT) on severe plantar fasciitis is uncertain. A greater cohort with its training efficiency in comparison with the conventional physiotherapy programme is required to demonstrate the efficacy of SAPS bodyblade exercise on overhead athletes.
Tuning Thermal Transport in Chain‐Oriented Conducting Polymers for Enhanced Thermoelectric Efficiency: A Computational Study

Thermoelectric polymers should be electron‐crystal and phonon‐glass to efficiently interconvert heat and electricity. Herein, by using molecular dynamics simulations, it is demonstrated that engineering phonon transport in conducting polymers by tailoring its degree of polymerization can effectively improve the energy conversion efficiency. This is based on the separated length scales that charge carriers and phonons travel along the polymer backbone. By tuning the chain length and the crystallinity of chain‐oriented poly(3,4‐ethylenedioxythiophene) fibers, a dramatic decrease of the axial thermal conductivity to 0.97 W m−1 K−1 has been observed in rationally designed polymer fibers with the crystallinity of 0.49 and the relative molecular weight of 5600. The dimensionless thermoelectric figure of merit at 298 K has been enhanced to 0.48, which is approximately one order of magnitude higher than that in crystalline polymers.
Leadership Styles, Financial Competency and Survival of Micro, Small and Medium Scale Enterprises in Lagos State, Nigeria

: Micro Small and Medium Scale Enterprises generally play vital roles in economic growth and development nationwide. In Nigeria, it has not been contributing as expected to Nigerian Gross Domestic Products, despite it has absorbed the largest labour force. This study investigates the influence of leadership styles and financial competency on the survival of Micro Small and Medium Scale Enterprises. The design of the study was descriptive survey research. Eight hundred and thirteen MSMEs staff were randomly sampled from two hundred and seventy-one MSMEs in the three Local Government Area in Lagos State. The results show that transformational and charismatic leadership styles excerpt positive influence while financial knowledge exerts significant negative influence on the survival of Micro Small and Medium Scale Enterprises in Lagos State. It was recommended that Training and retraining is also required in the area of financial literacy for manager/owner to be financially competent.
Socioeconomic status and participation in sports: A review of literature

Social and economic status of an individual has great impact on sports activities of students at different levels of education. Concepts and theories that connect Socioeconomic Status (SES) and sports activities of students studying at University level will help the strategists to plan well for the future of sports enthusiasts, universities and for the nation too. There have been numerous studies carried out by several researchers across the world to help policy makers. There are various factors that impact the participation in sports by people of younger generation. The SES and the interest in sports and participation in sports across the world provides opportunity to understand various strategies adopted by governments and sports clubs to attract the younger generation to actively participate in sports. This research paper has tried to capture the work of research scholars across the world, from different countries, who have been actively contributing towards understanding of SES factors and participation in sports.
Antidiabetic effects of aqueous extract of Baillonella toxisperma Pierre (Sapotacae) in streptozotocin-induced diabetic rats

Baillonella toxisperma stem bark is used in Cameroonian traditional medicine to control many ailments such as diabetes mellitus. The present study was designed to evaluate the anti-diabetic potential of Baillonella toxisperma stem-barks aqueous extract on STZ-induced type 1 diabetes in rats. Experimental diabetes was induced by intravenous (penile vein) injection of 55 mg/kg of streptozotocin. Animal received distilled water (10 mL/kg), insulin (10 UI/kg) or the aqueous extract of B. toxisperma (100 mg/kg, 200 mg/kg and 300 mg/kg). Hypoglycemic effect was assessed by a single oral administration of the extract to normal and diabetic rats and anti-diabetic effect evaluated by administrating daily doses to diabetic rats for 28 days. At the end of experimental period, blood pressure was recorded and serum (blood glucose levels, total cholesterol, triglycerides, LDL-cholesterol, LDL-cholesterol, AST, ALT, creatinine, sodium, calcium and urea), urinary (creatinine, sodium, calcium, urea and protein) biochemical parameters were evaluated. Some oxidative stress parameters were evaluated, and histomorphometry of the pancreas performed. A single oral administration of the plant extract significantly reduced blood glucose levels in both normal and diabetic rat with a marked effect at higher dose. Injection of streptozotocin induced chronic hyperglycaemia accompanied by polyphagia, polydipsia, polyuria, weight loss, dyslipidemia, oxidative stress, rising on blood pressure, liver, kidney damages and degenerative changes in pancreas. The administration of Baillonella toxisperma stem-barks aqueous extract (200 mg/kg and 300 mg/kg) significantly decreased blood glucose levels and blood pressure parameters as compared to diabetic control 28 days post-treatment. Furthermore, the extract improved lipidemia, liver, renal parameters, and countered oxidative stress. Similarly, the plant extract improved morphological changes in pancreas by increased the area of islets cells of Langerhans as compared to diabetic control. These ﬁndings suggest that Baillonella toxisperma stem-barks aqueous extract exerts its anti-diabetic property by its hypolipidemic and anti-oxidative effects. These results justify the use of this extract in the management of diabetic condition.
Chemical composition and biological activities of essential oils of different plants of Ligusticum genus against three stored insects

ABSTRACT Apiaceae L. contains many potential plants as repellent and insecticidal resources. However, Ligusticum applied in the stored insect control is still under-evaluated. Hence, the chemical composition and bioactivities of five Ligusticum plants with abundant resources were investigated in this study against Tribolium castaneum (Coleoptera: Tenebrionidae), Lasioderma serricorne (Coleoptera: Anobiidae), and Liposcelis bostrychophila (Psocoptera: Liposcelididae). The contact toxicity was found 24 h after treatment with Ligusticum pteridophyllum, Ligusticum ajanense, Ligusticum chuanxiong, Ligusticum thomsonii, and Ligusticum jeholense essential oils (LD50 = 87.99, 44.01, 21.53, 125.37, and >50% μg/adult; 89.82, 93.51, 28.42, 105.55, and 50.16 μg/adult; 7.87, 308.62, 67.82, and 195.06 μg/cm2, respectively). The five plants’ essential oils possessed poor fumigant toxicity against three target insects at the highest concentration. Moreover, all analyzed oils have good repellent activity in a dose-dependent manner. In conclusion, the tested oils have the potential to be developed as contact and repellent agents in protecting the stored products.
Conditional intensity: A powerful tool for modelling and analysing point process data

The conditional intensity function of a spatial point process describes how the probability that a point of the process occurs ‘at’ a particular point in its carrier space depends on the realisation of the process in the remainder of the carrier space. Provided that the point process is simple, the conditional intensity determines all of the properties of the process, in particular its likelihood function. In this paper, we review the use of the conditional intensity function in the formulation of point process models and in making inferences from point process data, giving separate consideration to temporal, spatial and spatiotemporal settings. We argue that the conditional intensity function should take centre‐stage in spatiotemporal point process modelling and analysis.
Velocity Approaches for Scales in Classical Guitar Education

The aim of this research is to contribute to students, trainers and performers by examining the materials prepared for the effective and fast performance of the scales. As a descriptive study, literature review and document analysis were used in the analysis of the data. The results of this study revealed that guitarists should determine a sitting position suitable for their physical characteristics in order to perform a fast passage at a desired tempo and a comfortable way. In adittion, they should provide their fingers the ability to make minimum movement, and file their nails smoothly at the appropriate length and angle. Another finding was that guitarists should conduct systematic studies on coordination and synchronization. Similarly, they should memorize parts of the piece and accelerate in a controlled way starting from a very slow tempo, accompanied by a metronome. Lastly, they should do velocity exercises for the right and left hands; vocalize the scales with various rhythmic variations, and conduct studies on i-m (m-i)/i-a (a-i), p-i (i-p)/p-m (m-p), a-m-i (m-i-a, i-a-m) ve p-m-i (m-i-p, i-p-m) finger combinations.