Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationships of Stresses on Alveolar Bone and Abutment of Dental Implant from Various Bite Forces by Three-Dimensional Finite Element Analysis

Occlusal trauma caused by improper bite forces owing to the lack of periodontal membrane may lead to bone resorption, which is still a problem for the success of dental implant. In our study, to avoid occlusal trauma, we put forward a hypothesis that a microelectromechanical system (MEMS) pressure sensor is settled on an implant abutment to track stress on the abutment and predict the stress on alveolar bone for controlling bite forces in real time. Loading forces of different magnitudes (0 N–100 N) and angles (0–90°) were applied to the crown of the dental implant of the left central incisor in a maxillary model. The stress distribution on the abutment and alveolar bone were analyzed using a three-dimensional finite element analysis (3D FEA). Then, the quantitative relation between them was derived using Origin 2017 software. The results show that the relation between the loading forces and the stresses on the alveolar bone and abutment could be described as 3D surface equations associated with the sine function. The appropriate range of stress on the implant abutment is 1.5 MPa–8.66 MPa, and the acceptable loading force range on the dental implant of the left maxillary central incisor is approximately 6 N–86 N. These results could be used as a reference for the layout of MEMS pressure sensors to maintain alveolar bone dynamic remodeling balance.
hyppo: A Comprehensive Multivariate Hypothesis Testing Python Package

We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing. While many multivariate independence tests have R packages available, the interfaces are inconsistent and most are not available in Python. hyppo includes many state of the art multivariate testing procedures. The package is easy-to-use and is flexible enough to enable future extensions. The documentation and all releases are available at this https URL.
Shot noise multifractal model for turbulent pseudo-dissipation

Multiplicative cascades have been used in turbulence to generate fields with multifractal statistics and long-range correlations. Examples of continuous and causal stochastic processes which generate such a random field have been carefully discussed in the literature. Here a causal lognormal stochastic process is built to represent the dynamics of pseudo-dissipation in a Lagrangian trajectory. It is introduced as the solution of a stochastic differential equation, driven by a source of noise which has sudden jumps at periodic intervals, its period being the dissipative time scale of the flow. This random field has scale invariance for a continuum of scales, and displays discontinuous jumps in time, with a smooth time evolution below the Kolmogorov scale. Its multifractal and correlation properties are demonstrated numerically.
Can Minkowski tensors of a porous microstructure determine its permeability

Minkowski tensors have been widely used as generic shape descriptors for many different kinds of two phase systems. Hence, our finding implies that the permeability of a general porous media may also be accurately modeled from available pore-structure information represented as Minkowski tensors. We present the validation of our DNN models for shapes with increasing complexity, decreasing data set size and using the individual Minkowski tensors exclusively. These results prove that Minkowski tensors of the pore microstructure are sufficient to determine the porous permeability, although the functional relationship could be complex to determine.
Bit-Layers Text Encoding for Efficient Text Processing

Textual data still remains the main format for storing information, justifying why text processing is among the most relevant topics in computer science. However, despite capability to store information is growing fast, the amount and complexity of textual data grows faster than storage capacities. In many cases, the problem is not due to the size or complexity of the text, but rather to the representations (or data structure) employed for carrying out the needed processing. In this paper, we show the potentiality and the beneﬁts of a straightforward text representation, referred to as the Bit-Layers text representation, which turns out to be particularly suitable for fast text searching, while still retaining the standard eﬃciency in the rest of text processing basic tasks. To show the advantages of the Bit-Layers representation, we also present a family of simple algorithms, tuned to it, for solving some classical and non-classical string-matching problems. Such algorithms turn out to be particularly suitable for implementation in modern hardware, and very fast in practice. Preliminary experimental results show that in some cases these algorithms are by far faster than their counter-parts based on the standard text representation.
Elevated systemic inflammatory responses, factors associated with physical and mental quality of life, and prognosis of hepatocellular carcinoma

Impaired quality of life (QOL) is common in hepatocellular carcinoma (HCC) patients. In this study, we used a large hospital-based multiethnic HCC patient cohort to systematically identify factors associated with QOL and investigate the prognostic value of QOL. The Short Form-12 questionnaire was used to assess QOL. The Physical Component Summary (PCS) and Mental Component Summary (MCS) scores were categorized into three groups (low, medium, and high) and ordered logistic regression analysis was used to analyze the association of PCS and MCS scores with patient characteristics. The association of PCS and MCS scores with mortality was assessed by Cox regression analysis. Notably, a panel of elevated systemic inflammatory response markers was associated with poor QOL. Other significant factors associated with QOL included age, liver function, sex, smoking, HCC etiology, and major clinical features. Patients with low (hazard ratio [95% CI], 1.72 [1.36-2.17]) and medium (1.52 [1.23-1.89]) PCS scores exhibited higher risks of death compared to patients with high PCS score. The association of MCS with the risk of death was not significant. These observations were consistent across all the different ethnicities. The identified factors associated with QOL may help clinicians formulate interventions to improve QOL and outcomes in HCC patients.
Contrasting genomic and phenotypic outcomes of hybridization between pairs of mimetic butterfly taxa across a suture zone

Hybrid zones, whereby divergent lineages come into contact and eventually hybridize, can provide insights on the mechanisms involved in population differentiation and reproductive isolation, and ultimately speciation. Suture zones offer the opportunity to compare these processes across multiple species. In this paper we use reduced‐complexity genomic data to compare the genetic and phenotypic structure and hybridization patterns of two mimetic butterfly species, Ithomia salapia and Oleria onega (Nymphalidae: Ithomiini), each consisting of a pair of lineages differentiated for their wing colour pattern and that come into contact in the Andean foothills of Peru. Despite similarities in their life history, we highlight major differences, both at the genomic and phenotypic level, between the two species. These differences include the presence of hybrids, variations in wing phenotype, and genomic patterns of introgression and differentiation. In I. salapia, the two lineages appear to hybridize only rarely, whereas in O. onega the hybrids are not only more common, but also genetically and phenotypically more variable. We also detected loci statistically associated with wing colour pattern variation, but in both species these loci were not over‐represented among the candidate barrier loci, suggesting that traits other than wing colour pattern may be important for reproductive isolation. Our results contrast with the genomic patterns observed between hybridizing lineages in the mimetic Heliconius butterflies, and call for a broader investigation into the genomics of speciation in Ithomiini ‐ the largest radiation of mimetic butterflies.
The Effects of Providing Informal Care on Labor Force Participation, Subjective Health, and Life Satisfaction among Middle-aged Family Members

In Japan, providing care to frail elderly people is still a primary role of family members. What is of primary concern is whether such a role prevents family members from working outside the home. Based on longitudinal data on Japanese middle-aged men and women, this study investigates whether they become less likely to have a job and whether their sense of well-being decreases when they have a family member who needs care. We find a consistent negative impact of having a family member who needs care on labor force participation for both men and women, but no impact on their subjective health and life satisfaction. Further, differences-in-differences (DID) estimation shows that the introduction of Long-Term Care Insurance did not mitigate the adverse impact on labor force participation. This result remains unchanged when the estimation is based on the sample in which the control and treatment groups are matched using the propensity score matching method.
Master of Health Information Management Students’ First-Year Experiences: A Case Study

The purpose of this study was to examine first-year students’ experiences in a new Master of Health Information Management (MHIM) program. The first year in a college program is challenging for students. Specifically, first-year students’ attrition from MHIM programs is an area of growing concern because the demand for health information management (HIM) professionals with advanced degrees is growing faster than the supply of graduates. Unfortunately, there is a paucity of research in this area. Data were collected using an open-ended online survey. Results indicated that students chose the program because they felt allegiance to the college, the college had their major of choice, and they wanted an online program. Students were challenged by the workload, the adjustment to online content delivery, and deficits in communication from the instructors and the school. Students were, however, generally satisfied with the quality of curriculum and instruction.
Effect of a Case-management Program Intervention on Mild Dementia Patients Residing in a Local Community

This one group pre-posttest experimental design study examined the effect of a case-management program on the cognitive function, depression, and environmental safety of dementia patients living in the community and their satisfaction with this intervention. The subjects were 10 elderly who agreed to participate in this program. The intervention was conducted for 1 hour, once a week, for 10 weeks. A case-manager visited the subjects’ home once a week and implemented the cognitive rehabilitation program, and assessed the environmental risks, degree of depression, ADL and IADL abilities, and medication compliance. Data were gathered before and after the program and analyzed using the SPSS 21.0 Win. Participants’ general characteristics were analyzed using a descriptive statistics and also paired t-test were used to determine the differences between the pre and post intervention cognitive function, depression level, and environmental safety. There was significant decrease only in the depression score (t=2.68, p=.03). Therefore, it is necessary to present more objective research results through before and after case management comparison with the use of a tool with verified reliability and validity, after screening and classifying the patients in advance, based on the degree of dementia, and modifying the program accordingly.
Effect of additive magnesium sulphate on spinal block characteristics in preeclampsia patients undergoing lower segment caesarean section

1 Associate Professor, Department of Anesthesiology, King George’s Medical University, Lucknow 2 Junior Resident, Department of Anesthesiology, King George’s Medical University, Lucknow 3,4,5 Professor, Department of Anesthesiology, King George’s Medical University, Lucknow *Corresponding Author Dr Sateesh Verma Department of Anesthesiology, King George’s Medical University, Lucknow, India Abstract Background and Aims: Spinal anaesthesia is commonly used anaesthetic technique in preeclampsia patients. Adding additive in spinal anaesthesia improves block characteristics as well as prolongs post-operative analgesia. In this study we aimed to evaluate the effect of additive magnesium sulphate on sensory and motor block properties. Methods: This prospective randomized study was conducted on 60 ASA II /III preeclampsia patients planned for caesarean section. Patients were randomly allocated to two groups and were given the following drugs intrathecally as per group allocation: Group Mg received 9 mg of0.5% bupivacaine heavy(1.8 ml)+ 20 microgram of fentanyl 50μg/ml (0.4ml) + 50mg of 50% MgS04 (0.1 ml). Group NS received 9 mg of 0.5% bupivacaine heavy (1.8 ml) + 20 microgram of fentanyl 50μg/ml (0.4ml) + 0.1 ml Normal Saline. Parameters monitored were sensory, motor block characteristics and postoperative analgesia. Results: Time to regress sensory block to L1 and postoperative analgesia was longerin group Mg. Time for complete motor recovery were significantly longer in group Mg as compared to group NS. Group Mg taken more time for onset of sensory and motor blockade. Conclusion: Addition of magnesium sulphate at 50mg dose as adjuvants to intrathecal bupivacaine and fentanyl significantly prolongs period of the sensory and motor blockade. It also gives longer postoperative analgesia in preeclampsia patients undergoing caesarean section.
Electroless Plating of Palladium Membranes on Porous Substrates for Hydrogen Separation and the Effects of Process Factors on Plating Rate and Efficiency: A Review

The electroless plating of palladium and palladium alloy membranes is fast becoming an important and enabling technology. This is more so when juxtaposed with the rising demand for high purity hydrogen for applications particularly in proton exchange membrane fuel cells (PEMFC). The effect of process factors such as sensitization and activation during surface modification, concentration of the reducing agent, plating temperature, time, pH, additives, air aeration on plating efficiency, quality of the palladium film and deposit morphology is reviewed with the aim of identifying areas requiring further investigation. The paper also reviews how these process factors could be optimised for better plating efficiency and overall membrane quality. The concentration of the reducing agent has been identified as the limiting factor on plating efficiency albeit other process factors separately impact on the plating efficiency. Furthermore, bulk precipitation caused by concentration of the reducing agent has been identified as a major problem during electroless plating with hydrazine based plating baths. To ameliorate this problem, a multi step addition of the hydrazine reducer in separate portions has been recommended.
The novel transmembrane Escherichia coli proteins involved in the amino acid efflux

A novel gene of Escherichia coli, rhtB, has been characterized. Amplification of this gene provides resistance to homoserine and homoserine lactone. Another E. coli gene, rhtC, provides resistance to threonine. The homologues of RhtB are widely distributed among various eubacteria and archaea, from one to 12 copies of family members that differ in their primary structure were found in the genomes. Most of them are genes that encode hypothetical transmembrane proteins. Experimental data that indicate participation of the rhtB product in the excretion of homoserine have been obtained. z 1999 Federation of European Biochemical Societies.
TCRM_A_232033 39..54

Adriana Albu Ioana Para Mihai Porojan 12nd Department of Internal Medicine, 24th Department of Internal Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania Abstract: Hyperuricemia is usually associated with hypertension, diabetes mellitus, metabolic syndrome and chronic kidney disease. Accumulating data from epidemiological studies indicate an association of increased uric acid (UA) with cardiovascular diseases. Possible pathogenic mechanisms include enhancement of oxidative stress and systemic inflammation caused by hyperuricemia. Arterial stiffness may be one of the possible pathways between hyperuricemia and cardiovascular disease, but a clear relationship between increased UA and vascular alterations has not been confirmed. The review summarizes the epidemiological studies investigating the relationship between UA and arterial stiffness and highlights the results of interventional studies evaluating arterial stiffness parameters in patients treated with UA-lowering drugs.
A Comparison of Four Cardiovascular Risk Assessment Instruments in Saudi Patients

Introduction Several cardiovascular risk calculators are available online to measure the probability of developing cardiovascular disease (CVD) without defining the appropriate population. In the current study, four risk assessment instruments were investigated with Saudi Arabian patients with CVD to identify the instrument with the best predictability. The chosen instruments were the Framingham Risk Score (FRS), Systematic Coronary Risk Evaluation (SCORE), American College of Cardiology/American Heart Association (ACC/AHA) Atherosclerotic Cardiovascular Disease Risk Estimator, and the United Kingdom score which is called QRISK®. Methods Saudi patients, 40 years and older, with acute coronary syndrome, were recruited. Data related to age, gender, ethnicity, height, weight, systolic blood pressure, total cholesterol, high-density lipoprotein (HDL), smoking status, diabetes mellitus, rheumatoid arthritis, chronic kidney disease, atrial fibrillation, heart attack in a first-degree relative, and use of antihypertensive treatment were recorded. Results Out of 129 patients, the ACC/AHA had higher predictability with low risk (26.3%) and high risk (66.7%) groups. The QRISK® was highly applicable (95.3%); however, the SCORE was not considered applicable (22.5%). Conclusion The QRISK® is easy to implement and applicable in a population-based study, but the ACC/AHA is superior in predicting individuals with a high risk of CVD.
Design of Helical Spring Suspension

In a Vehicle; problems were happen while driving on bumping road condition. The prime moto of this paper is to model and analyze the performance of shock absorber by changing the wire diameter and material of the coil spring. The shock absorbers duty is to absorb or dissipate energy. It reduces the effect of travelling over rough ground, leading to improved ride quality and increase in comfort due to substantially reduced amplitude of disturbance. When a vehicle is riding on a level road and the wheels strikes a bump, then the spring compressed quickly. The compressed spring will regain its original length and causing the body to be lifted. Then the weight of vehicle will then push the spring down below its normal loaded height. This in turns causes the spring to rebound again. This process occurs over and over by each time, until the up and down movement stops. Hence, the spring design in a suspension system is utmost crucial. The analysis is performed by considering the mass of Hybrid vehicle car and with person seated on it. This Hybrid vehicle car is made by our team for a challenge organized by Imperial Society of Innovative Engineers (ISIE). The comparison is done by changing the wire diameter of the coil spring to check the best dimension for the spring in shock absorber.
sEMG-based Hand Gesture Recognition with Deep Learning

Hand gesture recognition based on surface electromyographic (sEMG) signals is a promising approach for developing Human-Machine Interfaces (HMIs) with a natural control, such as intuitive robot interfaces or poly-articulated prostheses. However, real-world applications are limited by reliability problems due to motion artefacts, postural and temporal variability, and sensor re-positioning. This master thesis is the first application of deep learning on the Unibo-INAIL dataset, the first public sEMG dataset exploring the variability between subjects, sessions and arm postures by collecting data over 8 sessions of each of 7 able-bodied subjects executing 6 hand gestures in 4 arm postures. Recent studies address variability with strategies based on training set composition, which improve inter-posture and inter-day generalization of non-deep machine learning classifiers, among which the RBF-kernel SVM yields the highest accuracy. The deep architecture realized in this work is a 1d-CNN inspired by a 2d-CNN reported to perform well on other public benchmark databases. On this 1d-CNN, various training strategies based on training set composition were implemented and tested. Multi-session training proves to yield higher inter-session validation accuracies than single-session training. Two-posture training proves the best postural training (proving the benefit of training on more than one posture) and yields 81.2% inter-posture test accuracy. Five-day training proves the best multi-day training, yielding 75.9% inter-day test accuracy. All results are close to the baseline. Moreover, the results of multi-day training highlight the phenomenon of user adaptation, indicating that training should also prioritize recent data. Though not better than the baseline, the achieved classification accuracies rightfully place the 1d-CNN among the candidates for further research.
Mindfulness-based Stress Reduction for Generalized Anxiety Disorder: Does Pre-treatment Symptom Severity Relate to Clinical Outcomes?

Mindfulness-Based Stress Reduction is an evidence-based meditation training intervention that significantly reduced symptoms of depression, anxiety, and stress for patients suffering from a wide range of medical conditions. MBSR also appears effective for psychiatric outpatients seeking relief from anxiety disorders and comorbid depression. In the current investigation, ten patients enrolled in a mental health clinic MBSR program who reported mild, moderate, or severe generalized anxiety disorder (GAD) before the intervention completed standardized measures of GAD, worry, depression, anxious arousal, and stress immediately before and immediately after the 8-week MBSR program. Results demonstrated clinically significant improvement on all measures for the sample as a whole, and observed clinical improvements were not limited to those patients reporting only mild or moderate GAD symptoms before the intervention. Severe GAD patients scored near or within the clinical range on all measures before MBSR yet fell within normal limits on all measures at the final MBSR session. MBSR may be a viable alternative or adjunctive intervention approach for patients suffering from varying levels of GAD severity.