Miracle-dz/UniFAR-FTUs huggingface dataset:
Passive exercise, an effective therapy?

Background: Dementia affects cognitive functioning, physical functioning, activities of daily living (ADLs), and quality of life (QOL). Pharmacological treatments to manage, cure or prevent dementia remain controversial. Therefore, development of non-pharmacological approaches to prevent, or at least delay the onset and progression of dementia is urgently needed. Passive exercise is proposed to be such a non-pharmacological alternative. This study primarily aims to investigate the effects of three different forms of passive exercise on QOL and ADLs of institutionalized patients with dementia. The secondary aims are to assess the effects of three different forms of passive exercise on cognitive functioning and physical functioning of institutionalized patients with dementia as well as on care burden of both the primary formal and primary informal caregivers of these patients. Methods: This is a multicenter randomized controlled trial. Three forms of passive exercise are distinguished; motion simulation (TMSim), whole body vibration (WBV), and a combination of both TMSim + WBV. Intervention effects are compared to a control group receiving regular care. Institutionalized patients with dementia follow a six-week intervention program consisting of four 4 - 12 minutes sessions a week. The primary outcome measures QOL and ADLs and secondary outcome measure care burden are assessed with questionnaires filled in by the primary formal and informal caregivers of the patient. The other secondary outcome measures cognitive and physical functioning are assessed by individual testing. The four groups are compared at baseline, after 6 weeks of intervention, and 2 weeks after the intervention has ended. Discussion: This study will provide insight in the effects of different forms of passive exercise on QOL, ADLs, cognitive and physical functioning and care burden of institutionalized patients with dementia and their primary formal and informal caregivers. The results of this study might support the idea that passive exercise can be an efficient alternative for physical activity for patients not able to be or stay involved in active physical exercise.
Bayesian estimation of the average treatment effect on the treated using inverse weighting

We develop a Bayesian approach to estimate the average treatment effect on the treated in the presence of confounding. The approach builds on developments proposed by Saarela et al in the context of marginal structural models, using importance sampling weights to adjust for confounding and estimate a causal effect. The Bayesian bootstrap is adopted to approximate posterior distributions of interest and avoid the issue of feedback that arises in Bayesian causal estimation relying on a joint likelihood. We present results from simulation studies to estimate the average treatment effect on the treated, evaluating the impact of sample size and the strength of confounding on estimation. We illustrate our approach using the classic Right Heart Catheterization data set and find a negative causal effect of the exposure on 30‐day survival, in accordance with previous analyses of these data. We also apply our approach to the data set of the National Center for Health Statistics Birth Data and obtain a negative effect of maternal smoking during pregnancy on birth weight.
Effect of UV Radiation and Elevated CO2 on Physiological Attributes of Canola (Brassica napus L.) Grown under Water Deficit Stress

An experiment was conducted to study the effects of solar UV radiation, UV-B, UV-C radiation, and elevating CO2 on some physiological attributes of two canola cultivars (Brassica napus L.) under complete irrigation or limited irrigation in two continuous years. Generally, elevated CO2 increased leaf-soluble carbohydrates, reducing sugars, glucosinolate, and Fv/Fm ratio while carotenoids and soluble protein were decreased due to elevated CO2. In addition, UV radiation decreased leaf-soluble carbohydrates, reducing sugars, chlorophyll, proline, and Fv/Fm ratio and increased UV absorbing pigments, soluble proteins, and glucosinolate.
Rudyard Kipling’s medical addresses

Rudyard Kipling was one of the most widely read writers of prose and poetry during his lifetime. His wide travels—he was born in India and lived in England and The United States and made frequent visits to South Africa—led to many encounters with physicians and medicine. His unique addresses to the medical profession reveal his knowledge of medical subjects. His three major medical addresses concern medical subjects in contrast to most laymen addressing physicians, who typically speak about their own areas of expertise. The influence of Sir William Osler on some of Kipling’s stories is also examined.
Compilation of Dataflow Applications for Multi-Cores using Adaptive Multi-Objective Optimization

State-of-the-art system synthesis techniques employ meta-heuristic optimization techniques for Design Space Exploration (DSE) to tailor application execution, e.g., defined by a dataflow graph, for a given target platform. Unfortunately, the performance evaluation of each implementation candidate is computationally very expensive, in particular on recent multi-core platforms, as this involves compilation to and extensive evaluation on the target hardware. Applying heuristics for performance evaluation on the one hand allows for a reduction of the exploration time but on the other hand may deteriorate the convergence of the optimization technique toward performance-optimal solutions with respect to the target platform. To address this problem, we propose DSE strategies that are able to dynamically trade off between (i) approximating heuristics to guide the exploration and (ii) accurate performance evaluation, i.e., compilation of the application and subsequent performance measurement on the target platform. Technically, this is achieved by introducing a set of additional, but easily computable guiding objective functions, and varying the set of objective functions that are evaluated during the DSE adaptively. One major advantage of these guiding objectives is that they are generically applicable for dataflow models without having to apply any configuration techniques to tailor their parameters to the specific use case. We show this for synthetic benchmarks as well as a real-world control application. Moreover, the experimental results demonstrate that our proposed adaptive DSE strategies clearly outperform a state-of-the-art DSE approach known from literature in terms of the quality of the gained implementations as well as exploration times. Amongst others, we show a case for a two-core implementation where after about 3 hours of exploration time one of our proposed adaptive DSE strategies already obtains a 60% higher performance value than obtained by the state-of-the-art approach. Even when the state-of-the-art approach is given a total exploration time of more than 2 weeks to optimize this value, the proposed adaptive DSE strategy features a 20% higher performance value after a total exploration time of about 4 days.
Exact Algorithms via Monotone Local Search

We give a new general approach for designing exact exponential-time algorithms for subset problems. In a subset problem the input implicitly describes a family of sets over a universe of size n and the task is to determine whether the family contains at least one set. A typical example of a subset problem is WEIGHTED d-SAT. Here, the input is a CNF-formula with clauses of size at most d, and an integer W. The universe is the set of variables and the variables have integer weights. The family contains all the subsets S of variables such that the total weight of the variables in S does not exceed W and setting the variables in S to 1 and the remaining variables to 0 satisfies the formula. Our approach is based on “monotone local search,” where the goal is to extend a partial solution to a solution by adding as few elements as possible. More formally, in the extension problem, we are also given as input a subset X of the universe and an integer k. The task is to determine whether one can add at most k elements to X to obtain a set in the (implicitly defined) family. Our main result is that a cknO(1) time algorithm for the extension problem immediately yields a randomized algorithm for finding a solution of any size with running time O((2−1/c)n). In many cases, the extension problem can be reduced to simply finding a solution of size at most k. Furthermore, efficient algorithms for finding small solutions have been extensively studied in the field of parameterized algorithms. Directly applying these algorithms, our theorem yields in one stroke significant improvements over the best known exponential-time algorithms for several well-studied problems, including d-HITTING SET, FEEDBACK VERTEX SET, NODE UNIQUE LABEL COVER, and WEIGHTED d-SAT. Our results demonstrate an interesting and very concrete connection between parameterized algorithms and exact exponential-time algorithms. We also show how to derandomize our algorithms at the cost of a subexponential multiplicative factor in the running time. Our derandomization is based on an efficient construction of a new pseudo-random object that might be of independent interest. Finally, we extend our methods to establish new combinatorial upper bounds and develop enumeration algorithms.
Characterization of triple‐negative breast cancer preclinical models provides functional evidence of metastatic progression

Triple‐negative breast cancer (TNBC), an aggressive, metastatic and recurrent breast cancer (BC) subtype, currently suffers from a lack of adequately described spontaneously metastatic preclinical models that faithfully reproduce the clinical scenario. We describe two preclinical spontaneously metastatic TNBC orthotopic murine models for the development of advanced therapeutics: an immunodeficient human MDA‐MB‐231‐Luc model and an immunocompetent mouse 4T1 model. Furthermore, we provide a broad range of multifactorial analysis for both models that could provide relevant information for the development of new therapies and diagnostic tools. Our comparisons uncovered differential growth rates, stromal arrangements and metabolic profiles in primary tumors, and the presence of cancer‐associated adipocyte infiltration in the MDA‐MB‐231‐Luc model. Histopathological studies highlighted the more rapid metastatic spread to the lungs in the 4T1 model following a lymphatic route, while we observed both homogeneous (MDA‐MB‐231‐Luc) and heterogeneous (4T1) metastatic spread to axillary lymph nodes. We encountered unique metabolomic signatures in each model, including crucial amino acids and cell membrane components. Hematological analysis demonstrated severe leukemoid and lymphoid reactions in the 4T1 model with the partial reestablishment of immune responses in the immunocompromised MDA‐MB‐231‐Luc model. Additionally, we discovered β‐immunoglobulinemia and increased basal levels of G‐CSF correlating with a metastatic switch, with G‐CSF also promoting extramedullary hematopoiesis (both models) and causing hepatosplenomegaly (4T1 model). Overall, we believe that the characterization of these preclinical models will foster the development of advanced therapeutic strategies for TNBC treatment, especially for the treatment of patients presenting both, primary tumors and metastatic spread.
Blood cytokine responses to early secreted protein antigen-6/culture filtrate protein-10 tuberculosis antigens 2 months after antituberculosis treatment among patients with drug-susceptible pulmonary tuberculosis

Background: Human tuberculosis is a chronic inflammatory disease caused by mycobacterium tuberculosis. Pulmonary tuberculosis is the result of the failure of host immune system to control mycobacterium tuberculosis. The aim of the study was to asses the changes of the cytokines in active pulmonary tuberculosis patients before and after the use of anti-TB therapy. Methods: Multiple cytokine responses in active tuberculosis (TB) patients were investigated in this study following anti-TB drug therapy after 2 months. Ninety-six participants with pulmonary TB were engaged in the study between May 2018 and October 2018. Samples of blood were taken early before treatment at 0 and 2 months after using anti-TB therapy. The levels of interferon-gamma (IFN)-γ, interleukin-4 (IL-4), IL-6, IL-10, and tumor necrosis factor (TNF)-α in whole blood plasma collected from the QuantiFERON-TB Gold Plus were measured. Results: Compared with baseline levels, TNF-α, IL6 and IL10 were significantly lower following treatment whereas the IFN-γ and IL-4 increased significantly after treatment. The responses of five cytokines varied significantly after treatment (P < 0.0001) where IFN-γ was highest compared to other cytokines with 123.6%, AUC=0.757 and P < 0001, TNF-α AUC: 0.529 and P = 0.743, IL-4 AUC:0.557 and P = 0.514, IL-6 AUC:0.629 and P = 0.047, IL-10 AUC:0.549 and P = 0.581. Conclusion: It is concluded that changes of cytokines that observed during the treatment of TB patients play a very important role in monitoring pulmonary TB and can be suitable biomarkers to assess the effectiveness of anti-TB therapy in patients with TB.
Depression symptoms in women with pelvic floor dysfunction: a case-control study

Purpose In this study, we aimed to estimate the prevalence of depression symptoms in women with pelvic floor dysfunction (PFD) and to assess their quality of life (QOL). Patients and methods A case-control study assessing depression and its severity in women with PFD (urinary incontinence, pelvic organ prolapse, and fecal incontinence) was conducted. Patients attending the Urogynecology Department of the Women’s Specialized Hospital, King Fahad Medical City, were requested to complete the self-reported Pelvic Floor Distress Inventory, Pelvic Floor Impact Questionnaire, and Beck Inventory Scale for Depression. Women presenting with no PFD symptoms were recruited from other clinics as controls. Results Data of 100 women diagnosed with PFD (mean age, 45.18±10.50 years) and 100 control participants (mean age, 45.14±13.03 years; P=0.644) were collected. Patients with PFD showed significantly higher (7.3%) body mass index (BMI) (32.59±6.22 kg/m2) than controls (30.37±8.08 kg/m2) (OR, 1.044, 95% CI: 1.001–1.091; P=0.043). Patients with PFD exhibited a threefold higher prevalence of depression symptoms than controls (43% vs 14%, respectively; P<0.001). QOL scores in patients with PFD were significantly higher in patients with depression (P-values, 0.024 to <0.001). Conclusion There is a significant association between depression and PFD, and QOL scores in patients with PFD were significantly higher in patients with depression.
The Influence of Tonal and Atonal Bilingualism on Children’s Lexical and Non-Lexical Tone Perception

This study examined how bilingualism in an atonal language, in addition to a tonal language, influences lexical and non-lexical tone perception and word learning during childhood. Forty children aged 5;3–7;2, bilingual either in English and Mandarin or English and another atonal language, were tested on Mandarin lexical tone discrimination, level-pitch sine-wave tone discrimination, and learning of novel words differing minimally in Mandarin lexical tone. Mandarin–English bilingual children discriminated between and learned novel words differing minimally in Mandarin lexical tone more accurately than their atonal–English bilingual peers. However, Mandarin–English and atonal–English bilingual children discriminated between level-pitch sine-wave tones with similar accuracy. Moreover, atonal–English bilingual children showed a tendency to perceive differing Mandarin lexical and level-pitch sine-wave tones as identical, whereas their Mandarin–English peers showed no such tendency. These results indicate that bilingualism in a tonal language in addition to an atonal language—but not bilingualism in two atonal languages—allows for continued sensitivity to lexical tone beyond infancy. Moreover, they suggest that although tonal–atonal bilingualism does not enhance sensitivity to differences in pitch between sine-wave tones beyond infancy any more effectively than atonal–atonal bilingualism, it protects against the development of biases to perceive differing lexical and non-lexical tones as identical. Together, the results indicate that, beyond infancy, tonal–atonal bilinguals process lexical tones using different cognitive mechanisms than atonal–atonal bilinguals, but that both groups process level-pitch non-lexical tone using the same cognitive mechanisms.
Cerium Oxide Nanoparticles Regulate Insulin Sensitivity and Oxidative Markers in 3T3-L1 Adipocytes and C2C12 Myotubes

Insulin resistance is associated with oxidative stress, mitochondrial dysfunction, and a chronic low-grade inflammatory status. In this sense, cerium oxide nanoparticles (CeO2 NPs) are promising nanomaterials with antioxidant and anti-inflammatory properties. Thus, we aimed to evaluate the effect of CeO2 NPs in mouse 3T3-L1 adipocytes, RAW 264.7 macrophages, and C2C12 myotubes under control or proinflammatory conditions. Macrophages were treated with LPS, and both adipocytes and myotubes with conditioned medium (25% LPS-activated macrophages medium) to promote inflammation. CeO2 NPs showed a mean size of ≤25.3 nm (96.7%) and a zeta potential of 30.57 ± 0.58 mV, suitable for cell internalization. CeO2 NPs reduced extracellular reactive oxygen species (ROS) in adipocytes with inflammation while increased in myotubes with control medium. The CeO2 NPs increased mitochondrial content was observed in adipocytes under proinflammatory conditions. Furthermore, the expression of Adipoq and Il10 increased in adipocytes treated with CeO2 NPs. In myotubes, both Il1b and Adipoq were downregulated while Irs1 was upregulated. Overall, our results suggest that CeO2 NPs could potentially have an insulin-sensitizing effect specifically on adipose tissue and skeletal muscle. However, further research is needed to confirm these findings.
EFFECTIVENESS OF WASHINGTON ’ S FOREST PRACTICE RIPARIAN MANAGEMENT ZONE REGULATIONS FOR PROTECTION OF STREAM TEMPERATURE

iii ACKNOWLEDGEMENTS . iv METRIC TO ENGLISH CONVERSION FACTORS . v INTRODUCTION . 1 StudyObjectives . 3 METHODS . 3 Site Selection Criteria . 3 FieldMethods . 4 Temperature . 4 Discharge . 5 RMZLength . 5 Riparian Shade Level . 6 Other Characteristics of Study Sites . 6 StreamGradient . 6 Distance from Divide . 6 Elevation . 7 StreamDepth . 7 Average BankfuR Stream Width . 7 StreamAzimuth . 7 RMZWidth . 7 Tree Count Information . 7 Determination of BMP Effectiveness . 8 Instrument Accuracy . 8 Representativeness of Monitoring Period . 8 Maximum Equilibrium Temperature . 9 Levels of Certainty . 9 REsULTS,. ll Wl: Tributary to Trap Creek . 16 W2: Tributary to Pioneer Creek . 18 W3: Black Creek . 2 0 W4: North Fork Rabbit Creek . 2 2 W5: South Fork Ohop Creek . 2 4 W6:BearCreek . 2 6 W7: NewPondCreek . 2 8 W8: TokulCreek . 3 0 W9:GriffinCmek . 3 2
Embarrassingly Parallel MCMC using Deep Invertible Transformations

While MCMC methods have become a main work-horse for Bayesian inference, scaling them to large distributed datasets is still a challenge. Embarrassingly parallel MCMC strategies take a divide-and-conquer stance to achieve this by writing the target posterior as a product of subposteriors, running MCMC for each of them in parallel and subsequently combining the results. The challenge then lies in devising efficient aggregation strategies. Current strategies trade-off between approximation quality, and costs of communication and computation. In this work, we introduce a novel method that addresses these issues simultaneously. Our key insight is to introduce a deep invertible transformation to approximate each of the subposteriors. These approximations can be made accurate even for complex distributions and serve as intermediate representations, keeping the total communication cost limited. Moreover, they enable us to sample from the product of the subposteriors using an efficient and stable importance sampling scheme. We demonstrate the approach outperforms available state-of-the-art methods in a range of challenging scenarios, including high-dimensional and heterogeneous subposteriors.
UAV/UGV Autonomous Cooperation: UAV assists UGV to climb a cliff by attaching a tether

This paper proposes a novel cooperative system for an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV) which utilizes the UAV not only as a flying sensor but also as a tether attachment device. Two robots are connected with a tether, allowing the UAV to anchor the tether to a structure located at the top of a steep terrain, impossible to reach for UGVs. Thus, enhancing the poor traversability of the UGV by not only providing a wider range of scanning and mapping from the air, but also by allowing the UGV to climb steep terrains with the winding of the tether. In addition, we present an autonomous framework for the collaborative navigation and tether attachment in an unknown environment. The UAV employs visual inertial navigation with 3D voxel mapping and obstacle avoidance planning. The UGV makes use of the voxel map and generates an elevation map to execute path planning based on a traversability analysis. Furthermore, we compared the pros and cons of possible methods for the tether anchoring from multiple points of view. To increase the probability of successful anchoring, we evaluated the anchoring strategy with an experiment. Finally, the feasibility and capability of our proposed system were demonstrated by an autonomous mission experiment in the field with an obstacle and a cliff.
Vibrio cholerae O6 gastroenteritis in a patient with lupus nephritis – a report from coastal Karnataka, South India

Introduction Vibrio cholerae O1 strains are responsible for pandemics of cholera and major epidemics in the world. All the remaining V. cholerae non-O1/non-O139 strains are less virulent and are responsible for sporadic cases of gastroenteritis. These non-O1/non-O139 serogroups have more than 200 somatic antigens, and mostly lack cholera toxin and toxin co-regulated pilus encoding genes. Toxigenic and non-toxigenic non-O1/non-O139 V. cholerae have caused several diarrhoeal outbreaks in India and other countries. Acute gastroenteritis is the typical clinical sign and symptom of non-O1/non-O139 V. cholerae infection for both periodical and outbreak cases; in contrast, these V. cholerae are rarely associated with extraintestinal infections. Case presentation Here, we present a case of a 27-year-old female with underlying kidney disease (lupus nephritis) presenting with loose stools, vomiting and fever. V. cholerae O6 was isolated from a faecal sample, which was positive for hlyA and the type III secretion system. The present case is, to the best of our knowledge, the first such case to be reported from South India. Conclusion The V. cholerae O6 associated with autoimmune disease in the present study demonstrates the role of this pathogen in acute gastroenteritis, and if it is left undiagnosed it can lead to septicaemia and other complications. The pathogenic mechanisms of non-O1/non-O139 V. cholerae are multivariate, virulence factors being naturally present in these strains. Therefore, further epidemiological studies are necessary to determine the virulence factors and their pathogenic mechanisms. Non-O1/non-O139 V. cholerae can undoubtedly be the cause of diarrhoea and it would be important to extend bacteriological identification in this line as well as in all cases of gastroenteritis of unknown aetiology.