Miracle-dz/UniFAR-FTUs huggingface dataset:
A Disturbance-Observer-Based Feedforward-Feedback Control Strategy for Driveline Launch Oscillation of Hybrid Electric Vehicles Considering Nonlinear Backlash

Sudden torque change caused by the TM (traction motor) of HEV (hybrid electric vehicle) can lead to severe driveline oscillation, furthermore the backlash between engaging components in the driveline could increase the vibration amplitude. This paper focuses on the driveline oscillation of a series-parallel hybrid vehicle on launch condition. An analytic model of driveline torsional vibration considering disturbance brought by nonlinear backlash is established and simplified for the convenience of controller design. Based on the simplified model, a feedforward control strategy is proposed to suppress HEV launch vibration. However, the control effect will deteriorate sharply with the increase of equivalent backlash in the driveline system. To improve vibration attenuation performance, a feedback compensator is established and incorporated into the control system, with a robust sliding mode observer which is designed to estimate unknown disturbances as feedback signal. Numerical simulation is applied to validate vibration attenuation performance of the feedforward-feedback hybrid control strategy. Simulation results demonstrate that the feedforward-feedback control strategy has better robustness to cancel the unwanted effects of disturbance brought by nonlinear backlash compared with other control methods, which can be regarded as an effective approach to attenuate driveline oscillation and thus improve ride comfort on launch condition.
Shared Context Facilitates Lexical Variation in Sign Language Emergence

It has been suggested that social structure affects the degree of lexical variation in sign language emergence. Evidence from signing communities supports this, with smaller, more insular communities typically displaying a higher degree of lexical variation compared to larger, more dispersed and diverse communities. Though several factors have been proposed to affect the degree of variation, here we focus on how shared context, facilitating the use of iconic signs, facilitates the retention of lexical variation in language emergence. As interlocutors with the same background have similar salient features for real world concepts, shared context allows for the successful communication of iconic mappings between form and culturally salient features (i.e., the meaning specific to an individual based on their cultural context). Because in this case the culturally salient features can be retrieved from the form, there is less pressure to converge on a single form for a concept. We operationalize the relationship between lexical variation and iconic affordances using an agent-based model, studying how shared context and also population size affects the degree of lexical variation in a population of agents. Our model provides support for the relationship between shared context, population size and lexical variation, though several extensions would help improve the explanatory power of this model.
Neutralization of SARS-CoV-2 Omicron by BNT162b2 mRNA vaccine–elicited human sera

The globally circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant of concern Omicron (B.1.1.529) has a large number of mutations, especially in the spike protein, indicating that recognition by neutralizing antibodies may be compromised. We tested Wuhan (Wuhan-Hu-1 reference strain), Beta (B.1.351), Delta (B.1.617.2), or Omicron pseudoviruses with sera of 51 participants who received two or three doses of the messenger RNA (mRNA)–based COVID-19 vaccine BNT162b2. After two doses, Omicron-neutralizing titers were reduced >22-fold compared with Wuhan-neutralizing titers. One month after the third vaccine dose, Omicron-neutralizing titers were increased 23-fold relative to their levels after two doses and were similar to levels of Wuhan-neutralizing titers after two doses. The requirement of a third vaccine dose to effectively neutralize Omicron was confirmed with sera from a subset of participants using live SARS-CoV-2. These data suggest that three doses of the mRNA vaccine BNT162b2 may protect against Omicron-mediated COVID-19. Description Vaccination protects against Omicron The Omicron (B.1.1.529) variant of concern has proven more transmissible and infectious than the original severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Muik et al. investigated whether the BioNTech/Pfizer BNT162b2 messenger RNA (mRNA) vaccine is effective against the Omicron variant. Sera were collected from two groups of clinical trial subjects: those who received the primary two-dose BNT162b2 vaccine series (spaced 21 days apart) and those who received a third, “booster” vaccine 6 to 18 months after the second BNT162b2 dose. Individuals who received only two doses had a low ability to neutralize the Omicron variant, whereas a third shot of BNT162b2 significantly improved antibody recognition of Omicron. These data suggest that three BNT162b2 mRNA doses are likely required to protect against Omicron-driven COVID-19. —PNK Sera from individuals vaccinated with three doses of the Pfizer/BioNtech mRNA vaccine BNT162b2 can neutralize the SARS-CoV-2 Omicron variant.
Simulating and Predicting Adsorption of Organic Pollutants onto Black Phosphorus Nanomaterials

Layered black phosphorus (BP) has exhibited exciting application prospects in diverse fields. Adsorption of organics onto BP may influence environmental behavior and toxicities of both organic pollutants and BP nanomaterials. However, contributions of various intermolecular interactions to the adsorption remain unclear, and values of adsorption parameters such as adsorption energies (Ead) and adsorption equilibrium constants (K) are lacking. Herein, molecular dynamic (MD) and density functional theory (DFT) was adopted to calculate Ead and K values. The calculated Ead and K values for organics adsorbed onto graphene were compared with experimental ones, so as to confirm the reliability of the calculation methods. Polyparameter linear free energy relationship (pp-LFER) models on Ead and logK were developed to estimate contributions of different intermolecular interactions to the adsorption. The adsorption in the gaseous phase was found to be more favorable than in the aqueous phase, as the adsorbates need to overcome cohesive energies of water molecules onto BP. The affinity of the aromatics to BP was comparable to that of graphene. The pp-LFER models performed well for predicting the Ead and K values, with external explained variance ranging from 0.90 to 0.97, and can serve as effective tools to rank adsorption capacities of organics onto BP.
Symptomatic Young Adults with ST-Segment Elevation—Acute Coronary Syndrome or Myocarditis: The Three-Factor Diagnostic Model

Myocarditis may mimic myocardial infarction (MI) due to a similar clinical presentation, including chest pain, electrocardiography changes, and laboratory findings. The purpose of the study was to investigate the diagnostic value of clinical, laboratory, and electrocardiography characteristics of patients with acute coronary syndrome - like myocarditis and MI. We analysed 90 patients (≤45 years old) with an initial diagnosis of ST-segment elevation myocardial infarction; 40 patients (44.4%), through the use of cardiac magnetic resonance, were confirmed to have myocarditis, and 50 patients (55.6%) were diagnosed with MI. Patients with myocarditis were younger and had fewer cardiovascular risk factors than those with MI. The cutoff value distinguishing between myocarditis and MI was defined as the age of 36 years. The history of recent infections (82.5% vs. 6%) and C-reactive protein (CRP) levels on admission (Me 45.9 vs. 3.4) was more associated with myocarditis. Further, the QTc interval was inversely correlated with the echocardiographic ejection fraction in both groups but was significantly longer in patients with MI. Non-invasive diagnostics based on clinical features and laboratory findings are basic but still essential tools for differentiation between MI and myocarditis. The three-factor model including the criteria of age, abnormal CRP, and history of recent infections might become a valuable clinical indication.
Adolescent Substance Use and Individual Beliefs That Drug Use Is Wrong: A Statewide Epidemiological Study

Abstract Objective Informed by cognitive dissonance theory, the current study investigated the ability of youths’ belief that drug use is wrong to predict likelihood of past year substance use abstinence as well as frequency of use at grades 8, 10, and 12. Method Study analyses were executed from a statewide epidemiological survey of more than 125,000 youth using multi-group Zero-Inflated Poisson regression modeling. Results Personal belief that drug use is wrong demonstrated the largest magnitude of effect at each grade among the individual, family, and school-based factors under examination; this finding emerged with respect to predicting past year substance use abstinence as well as rates of substance use among individuals reporting past year use. Although differences across grades were evident for the magnitude of effect within various risk and protective factors, the rank ordering in magnitude of effect between factors was consistent across grades 8, 10, and 12. Conclusion Current results underscore the salience of youths’ belief that drug use is wrong in explaining likelihood of past year substance use at multiple time points during adolescence. Supplemental data for this article is available online at https://doi.org/10.1080/10826084.2022. 2034877 .
A Practitioner Centred Assessment on Health Information Systems Interoperability Readiness in Zimbabwe: Mixed Study Approach

Contemporary health information systems have moved to become electronically supported. This has presented the need for these eHealth systems to exist as an ecosystem that allows for healthcare service collaboration amongst service practitioners. In this research paper, the aim is to form an understanding of the healthcare practitioner readiness for Health Information Systems (HIS) interoperability in Zimbabwe. Some qualitative interview and quantitative 5 point Likert scale questionnaires were used to gather the data concurrently before the data were analysed both qualitatively and quantitatively. The HIS interoperability readiness survey was captured from responses made by 71 practitioners. The assessment was aimed at assessing factors which were healthcare practitioner readiness, technological ownership readiness, policy readiness, core readiness and financial readiness. The findings presented indicate that healthcare practitioners and patients are ready to exist and function as part of an interoperable HIS although some enabling factors were identified in terms of policies needed to support its existence and functionality. Recommendations towards interoperability of HISs achievement were suggested.
Anthropometric Factors Associated With Bone Stress Injuries in Collegiate Distance Runners: New Risk Metrics and Screening Tools?

Background: Lower limb bone stress injury (BSI) of the pelvis, femur, and tibia is prevalent in collegiate track and field distance runners. Bone mineral density (BMD), body composition (BComp), and anthropometric parameters before initial collegiate injury have not been compared between runners with BSI and their noninjured counterparts. Purpose: To characterize bone health in relation to BComp and anthropometric measurements from total-body dual x-ray absorptiometry (DXA) scans in collegiate male and female distance runners before BSI and develop BMD prediction models. Study Design: Case-control study; Level of evidence, 3. Methods: Distance runners (N = 79) from a single university track and field team were retrospectively enrolled into this study. The runners completed a DXA scan during the fall season (August-November) and participated in sport activities before the scan. Three months after scanning, electronic medical records were reviewed for the occurrence of BSI. An independent-sample t test was used to compare BMD (total and regional [spine, pelvis, and legs]), BComp (% body fat, fat mass, and lean mass), and anthropometric measurements (shoulder width and leg, arm, and trunk length) between runners with versus without BSI (included subgroup analysis by sex). Multiple linear regression with stepwise removal was used to determine variables most predictive of BMD. Results: Of the 79 enrolled participants (42 male, 37 female), 18 runners (22.8%; 11 female, 7 male) sustained a lower limb BSI. Compared with the noninjured group, injured runners had lower total and regional BMD (P < .001 for all) and shorter leg and arm lengths (P < .05 for both), whereas injured male runners had lower fat mass and injured female runners had lower lean mass in the legs (P < .05 for both). Injured runners’ age-matched total BMD Z score (-0.1 ± 0.6) was considered clinically normal. BComp and anthropometric measures were predictive of total and regional BMD (P < .05; R 2 = 0.64-0.80; percentage error = 3.8%-4.8%). Conclusion: The DXA scans of injured runners prior to incidence indicated lower BMD compared with noninjured runners. Shorter limb lengths, lower fat mass (male), and lower leg lean mass (female) may also be indicative of risk. Certain BComp and anthropometric measures were predictive of BMD.
Factors That Influence the Event of Low Birth Weight in The Room of Peristi in Tolitoli General Hospitals

Background: Low birth weight is a public health problem because it is one of the causes of high infant mortality. Factors that can affect LBW include maternal weight, Hb and the age of the mother, which is very important to monitor the health status of children from birth. Objective To determine the factors that influence the incidence of low-birth-weight babies (LBW) in the Hospital Room at Tolitoli General Hospital. Methods: The design used in the study is correlational analytic. Population is all mothers and babies. The sample size was 32 respondents using Purposive sampling techniques. Independent variables of the study were a history of pregnancies with low birth weight, maternal age, anemia. The dependent variable is LBW incidence. Data was collected using a questionnaire, then the data were analyzed using logistic regression tests with a significance level of α ≤ 0.05. Results: The results showed that most of the respondents aged 17-25 years as many as 16 respondents (50%), weight during pregnancy 61-70 kg as many as 17 respondents (53.1%), mothers with Hb> 11 gr / dl during pregnancy as much 26 respondents (81.3%). The results of the study obtained Overall Statistics found that p = 0,000 which means that the independent variables influence together on the dependent variable. If you see the value of p per variable, body weight is p = 0.006, age p = 0.184, Hb p = 0.000, so it can be concluded that the variables that affect the incidence of LBW are maternal weight and Hb during pregnancy. Conclusion: LBW in infants can be caused by maternal weight and Hb or anemic conditions in the mother during pregnancy, this will cause the baby to lack nutritional and energy needs during pregnancy.
Effects of Adding Aquatic-to-Land-Based Physiotherapy Programs for Shoulder Joint Position Sense Rehabilitation

There is limited evidence regarding the effects of aquatic-based physiotherapy on shoulder proprioception following post-traumatic injury to the joint. The main aim of this study was to investigate the effects of additional aquatic-based rehabilitation to a land-based physiotherapy program on shoulder joint position sense (JPS) rehabilitation. Forty-four individuals (mean age 44.50 ± 10.11) who had suffered a post-traumatic shoulder injury less than five months previously were pseudo-randomly allocated equally into a control group (9 females, 13 males) and experimental group (6 females, 16 males). Both groups received individualized standard land-based physiotherapy on average for 50 min per session, with five sessions per week for four consecutive weeks. The experimental group received an additional 30 min of personalized aquatic-based therapy during each session. Shoulder JPS was assessed by flexion (60°), extension (25°), abduction (60°), internal rotation (35°) and external rotation (35°) positions prior, halfway through, and after the intervention. Shoulder JPS improved significantly for all positions for both the control group (p < 0.03) and the experimental group (p < 0.01). No significant differences between the control group and the experimental group were found for change in shoulder JPS over time. Our results indicate that shoulder JPS can be significantly improved among individuals with post-traumatic injury to the joint through four weeks of personalized physiotherapy. The addition of aquatic-based exercises to standard land-based therapy did not, however, show significant benefits, and thus cannot be recommended for the improvement of shoulder JPS based on our findings.
3D NUMERICAL SIMULATION OF THE ANCHOR EFFECT OF PRESTRESSED CABLES AND ITS ENGINEERING APPLICATION

Prestressed cable anchor technology has been widely used in many fields of geotechnical reinforcement engineering.However,the research on the reinforcement mechanism of prestressed anchorage is still at an exploratory stage.Based on the fast Lagrangian analysis method(FLAC-3D),the stress,deformation and failure mechanisms of the anchorage segment,free segment and anchor pier under the effect of the single or multi-cable anchor system have been analyzed through 3D numerical modeling and some influence factors of shear stress distribution along the anchorage segment have also been discussed.On that basis,some useful conclusions are drawn,which can provide a reference for the engineering design and theoretical study.These research results prove to be effective through engineering practice.
Epoxy Coated Seven-Wire Strand for Prestressed Concrete

W hen a ruling by the Federal Highway Administration early in 1981 banned the use of uncoated strand in certain prestressed concrete members because of a lack of effective corrosion resistance, Florida Wire & Cable Company began a program for the development of a corrosion resistant strand. As a first step, samples of strand were submitted for coating to a number of plants already engaged in coating reinforcing bars. Examination of the resultant coatings showed that none of the bar coating procedures provided or could be altered to provide a satisfactory coating on strands. The coatings were not sufficiently ductile to meet bending and stretching of a strand, or they did not bridge the gap between the outer wires, or the coating process impaired some of the desired properties of the high strength cold-worked wires of the strand. After numerous trials and rejections of coatings that did not have all of the required properties or that impaired the properties of the strand during application, an ideal coating and coating procedure were developed. Coated strand of all sizes from % in. through 0.60 in. (9.5 through 15.2 mm) diameter is now available on a production basis. Coated wire is also available. Fig. 1 is a photograph of a 1/2 in. (12.7 mm) diameter strand which has been cut with a carborundum disc. The coating
Evaluation of fresh palm oil adulteration with recycled cooking oil using GC-MS and ATR-FTIR spectroscopy: A review

Palm oil (PO) is an edible vegetable oil that is extracted from the mesocarp of oil palm fruit (Elaeis guineensis), which is known to contain an almost equal proportion of saturated fatty acids (SFAs) and unsaturated fatty acids (USFAs). PO is used globally, because of its wide application as a frying medium. Extracted from the mesocarp of the oil palm fruit, PO needs to be processed to make it of edible quality. However, to meet growing global demand, it is often adulterated with recycled cooking oil (RCO), which is of inedible quality. As the methods of fresh palm olein (FPO) adulteration are sophisticated, it created an urgent need for commensurate analytical techniques with which to detect FPO adulteration. As such, chromatography and spectroscopy are commonly used to detect adulterations in edible oil. Therefore, this study evaluated the efficacy of utilising gas chromatography-mass spectrometry (GC-MS) and attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect the adulteration of FPO with inedible RCO. Although previous studies attest to the efficacy of utilising GC-MS and ATR-FTIR spectroscopy in adulteration detection, both these techniques only provided specific qualitative and quantitative insights into the compounds present in oil samples. As such, further extensive studies on the application of a variety of adulteration detection methods are needed to provide regulatory authorities with information on the reliability of these modern adulteration detection methods.
Cross‐modal retrieval based on deep regularized hashing constraints

Cross‐modal retrieval has attracted great attention due to the increasing demand for tremendous amounts of multimodal data in recent years. These retrievals could either be text‐to‐image or image‐to‐text. To address the problem of inappropriate information included between images and texts, we propose two cross‐modal recovery techniques established on a dual‐branch neural network defined on a common subspace and the hashing learning method. First, a cross‐modal recovery technique established on a multilabel information deep ranking model (MIDRM) is provided. In this method, we introduce a triplet‐loss function into the dual‐branch neural network model. This function takes advantage of the semantic information of the bimodal components, focusing on not only the similarities between similar images and text features but also the distances between dissimilar images and texts. Second, we establish a new cross‐modal hashing technique said to be the deep regularized hashing constraint (DRHC). In this method, the regularized function is used to replace the binary constraint, and the discrete value is constrained to a certain numerical range so that the network can achieve end‐to‐end training. Overall, the time complexity is greatly improved, and the occupied storage space is also greatly reduced. Different experiments on our proposed MIDRM and DRHC models demonstrate their superior performance to those of the state‐of‐the‐art methods on two widely used data sets. The experimental results show that our approach also increases the mean average precision of cross‐modal recovery.