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Ternary hybrid nanoparticles require infected blood cell base fluid flow. Blood vessels feature ciliated walls and peristaltic waves. Anemia comes from cancer treatment-induced red blood cell destruction. This study reproduces Jeffrey model blood flow through a ciliary peristaltic artery using ternary hybrid nanoparticles of gold, iron oxide, and copper. This work examines ternary hybrid nanofluid MHD ciliary peristaltic motion using Jeffrey curves. A nonlinear PDE system has heat and induced magnetic force equations. The Adomian Decomposition Method solved this system without long-wavelength approximation. Visualize how essential biological and physical elements affect velocity, temperature, trapping, magnetic force contours, induced magnetic field components, axial pressure, and normal pressure. Flow, temperature, magnetic features, and other important properties are plotted and discussed against biological and biomedical parameters. We discovered full consistency with modest scenario efforts. The increase in nanoparticles gives ternary hybrid nanofluid a larger friction force than hybrid, so its axial pressure gradient at the wall is stronger, decays at hybrid, decays further from nanofluid to base fluid, and reverses at the intermediate area. Peristaltic ciliary activity alters magnetic force contours, shrinks loops, and forms four contour groups with different implications. [ABSTRACT FROM AUTHOR]

Research suggests that people prefer human over algorithmic decision-makers at work. Most of these studies, however, use hypothetical scenarios and it is unclear whether such results replicate in more realistic contexts. We conducted two between-subjects studies (N=270; N=183) in which the decision-maker (human vs. algorithmic, Study 1 and 2), explanations regarding the decision- process (yes vs. no, Study 1 and 2), and the type of selection test (requiring human vs. mechanical skills for evaluation, Study 2) were manipulated. While Study 1 was based on a hypothetical scenario, participants in pre-registered Study 2 volunteered to participate in a qualifying session for an attractively remunerated product test, thus competing for real incentives. In both studies, participants in the human condition reported higher levels of trust and acceptance. Providing explanations also positively influenced trust, acceptance, and perceived transparency in Study 1, while it did not exert any effect in Study 2. Type of the selection test affected fairness ratings, with higher ratings for tests requiring human vs. mechanical skills for evaluation. Results show that algorithmic decision-making in personnel selection can negatively impact trust and acceptance both in studies with hypothetical scenarios as well as studies with real incentives. [ABSTRACT FROM AUTHOR]

Algorithmic explainability has become one of the key topics of the last decade of the discourse about automated decision making (AMD, machine-made decisions). Within this discourse, an important subfield deals with the explainability of machine-made decisions or outputs that affect a person's legal position or have legal implications in general – in short, the algorithmic legal decisions. These could be decisions or recommendations taken or given by software which support judges, governmental agencies, or private actors. These could involve, for example, the automatic refusal of an online credit application or e-recruiting practices without any human intervention, or a prediction about one's likelihood of recidivism. This article is a contribution to this discourse, and it claims, that as explainability has become a prominent issue in hundreds of ethical codes, policy papers and scholarly writings, so it has become a 'semantically overloaded' concept. It has acquired such a broad meaning, which overlaps with so many other ethical issues and values, that it is worth narrowing down and clarifying its meaning. This study suggests that this concept should be used only for individual automated decisions, especially when made by software based on machine learning, i.e. 'black box-like' systems. If the term explainability is only applied to this area, it allows us to draw parallels between legal decisions and machine decisions, thus recognising the subject as a problem of legal reasoning, and, in part, linguistics. The second claim of this article is, that algorithmic legal decisions should follow the pattern of legal reasoning, translating the machine outputs to a form, where the decision is explained as applications of norms to a factual situation. Therefore, as the norms and the facts should be translated to data for the algorithm, so the data outputs should be back-translated to a proper legal justification. [ABSTRACT FROM AUTHOR]

In recent years, it has become increasingly popular to use matrices, such as acellular dermal matrices, in implant-based breast reconstruction. To lower the cost and to avoid implanting biological material, the use of synthetic meshes has been proposed. This is the first study examining TIGR® Mesh in a larger series of immediate breast reconstruction. The aims of the study were to examine complications and predictors for complications. All consecutive patients operated on with breast reconstruction with TIGR® Matrix Surgical Mesh and tissue expanders (TEs) or permanent implant between March 2015 and September 2016 in our department were prospectively included. Exclusion criteria were ongoing smoking, BMI (kg/m2) > 30, planned postoperative radiation, and inability to leave informed consent. Fifteen breasts (23%) were affected by complications within 30 d: four (6.2%) major complications and eleven (17%) minor complications. The major complications included two implant losses and one pulmonary embolism (PE). Predictors for a complication were age over 51 years, BMI over 24.5 kg/m2, large resection weight, and the need for a wise pattern excision of skin. Four minor surgical complications occurred after 30 d (minimum follow-up 17 months). There were no implant losses. In addition, minor aesthetic corrections, such as dog-ear resection, were performed in 10 breasts. In conclusion, breast reconstruction with a TE in combination with TIGR® Matrix Surgical Mesh can be performed with a low complication rate. [ABSTRACT FROM AUTHOR]

In modern implant-based immediate breast reconstruction, it has become common to use biological acellular dermal and synthetic matrices in combination with a tissue expander or an implant. The aim of this systematic review was to examine differences in recurrence of cancer, impact on oncological treatment, health related quality of life, complications and aesthetic outcome between matrix and no matrix in immediate breast reconstruction. Systematic searches, data extraction and assessment of methodological quality were performed according to predetermined criteria. Fifty-one studies were eligible and included in the review. The certainty of evidence for overall complication rate and implant loss is low (GRADE ⊕⊕□ □). The certainty of evidence for delay of adjuvant treatment, implant loss, infection, capsular contraction and aesthetic outcome is very low (GRADE ⊕□ □ □). No study reported data on recurrence of cancer or health related quality of life. In conclusion, there is a lack of high quality studies that compare the use of matrix with no matrix in immediate breast reconstruction. Specifically, there are no data on risk of recurrence of cancer, delay of adjuvant treatment and Health related quality of life (HRQoL). In addition, there is a risk of bias in many studies. It is often unclear what complications have been included and how they have been diagnosed, and how and when capsular contracture and aesthetic outcome have been evaluated. Controlled trials that further analyse the impact of radiotherapy, type of matrix and type of procedure (one or two stages) are necessary. [ABSTRACT FROM AUTHOR]

Crop and weather forecasting are some of the least predictable elements of agri-business, and public and private sector interests have developed different approaches to improving results in each area. This article examines how organisations produced, acquired, and shared the environmental knowledge they needed for success in the increasingly global supply chains of agri-business. Crop knowledge was extensive and growing in the late nineteenth century, including a series of nascent forecasting methods. Climate knowledge was limited and retreating because of underfunding and spurious theories about solar radiation. But the records of Archer-Daniels-Midland (ADM) and crop scientists in the Northern Great Plains show that linseed oil manufacturers created extensive knowledge networks to gather crop and some climate information in almost real time. Business associations served an asymmetrical role in these knowledge networks, and some manufacturers, like the members of the Flax Development Committee, treated scientists as a crop reporting service. As Argentina became a major linseed producer the US oilseed sector used public and private intermediaries to develop specialized knowledge of grassland agriculture in both the Prairies and the Pampas. [ABSTRACT FROM PUBLISHER]

Although diagnosis and treatment of gastric cancer have improved, the prognosis of patients remains poor. The majority of patients should be treated with chemotherapy or other follow-up treatment. However, the drug resistance of chemotherapy and heterogeneity of tumor itself lead to differences of sensitivity of chemotherapy drugs for different patients. Therefore, it is mandatory to develop better methods of treatment for treatment of gastric cancer. Calycosin has been used in several types of cancer cells. Cisplatin, 5-fluorouracil (5-FU), and adriamycin (ADM) are most widely used drugs for chemotherapy, and they improve the overall survival of cancer patients. To study whether and how calycosin enhances their inhibition of gastric cancer cells, we detected the signaling pathway in which calycosin and cisplatin, 5-FU, and ADM play role in human gastric cells lines. We found that calycosin can enhance the suppression of cisplatin to gastric cell line by inhibiting the phosphorylation of protein kinase B (Akt). So, when cisplatin/5-FU/ADM is combined with calycosin, it can achieve better therapeutic effect in lower concentration. [ABSTRACT FROM PUBLISHER]

Background:Renal denervation has been proposed as a therapeutic option in patients with resistant hypertension. Circulating blood borne biomarkers might be helpful to identify individuals responding to RDN therapy. MR-proADM is a strong prognostic marker in patients with cardiovascular disease. The aim of this multicenter study was to evaluate the effect of RDN on MR-proADM concentrations. Methods and results:We measured MR-proADM, BNP, and MR-proANP in 110 patients before and after RDN in a multicenter setting. All patients were followed up after 1 and 6 months by office and ambulatory blood pressure (BP) measurements. The mean office BP decreased from 165/89 to 152/87 mmHg 6 months after RDN (systolic:p < 0.001; diastolic: ns), the responder-rate was 74%. Intriguingly MR-proADM concentrations increased from 0.66 to 0.69 nmol/L (p < 0.001) and were significantly associated with reduction of systolic office BP after 6 months in multivariate analyses (coefficient −0.0018,p < 0.001). In therapy-responders MR-proADM concentrations showed a significantly higher increase over time (coefficient 0.0105,p < 0.05), as compared to non-responders. There were no significant differences in BP change for individuals with low and high baseline MR-proADM (BP-Delta low MR-proADM −23/−4 mmHg vs. high MR-proADM −24/−5 mmHg). The natriuretic biomarkers BNP and MR-proANP did not change significantly after 6 months. Biomarkers at baseline were not able to predict for therapy-responder. Conclusion:In patients undergoing RDN, baseline measurements of various biomarkers had no prognostic use for therapy success in this short time follow-up period in a multicenter approach. Intriguingly, MR-proADM showed a significant association with BP reduction after 6 months. [ABSTRACT FROM AUTHOR]

The aim of this research is to solve the Hamilton-Jacobi-Bellman equation (HJB) arising in nonlinear optimal problem using Adomian decomposition method. First Riccati equation with matrix variable coefficients, arising in linear optimal and robust control approach, is considered. By using the Adomian method, we consider an analytical approximation of the solution of nonlinear differential Riccati equation. An application in optimal control is presented. The solution in different order of approximations and different methods of approximation will be compared with respect to accuracy. Then the HJB equation, obtained in nonlinear optimal approach, is considered and an analytical approximation of the solution of it, using Adomian method, is presented. [ABSTRACT FROM AUTHOR]

In this article, the equations of magnetohydrodynamic (MHD) equilibria for a plasma in a gravitational field are solved by using the Adomian decomposition method (ADM). Using this approach, we obtained the numerical solutions of this type of equations. Numerical illustrations on well-known MHD equations with the exact solutions indicate that the decomposition method is efficient, reliable and accurate. Most of the symbolic and numerical computations have been performed using the Computer Algebra–System–Mathematica. [ABSTRACT FROM AUTHOR]