Miracle-dz/UniFAR-FTUs huggingface dataset:
Endwall Boundary Layer Development in an Engine Representative Four-Stage Low Pressure Turbine Rig

Research by de la Rosa Blanco et al. ("Influence of the State of the Inlet Endwall Boundary Layer on the Interaction Between the Pressure Surface Separation and the Endwall Flows," Proc. Inst. Mech. Eng., Part A, 217, pp. 433-441) in a linear cascade of low pressure turbine (LPT) blades has shown that the position and strength of the vortices forming the endwall flows depend on the state of the inlet endwall boundary layer, i.e., whether it is laminar or turbulent. This determines, amongst other effects, the location where the inlet boundary layer rolls up into a passage vortex, the amount of fluid that is entrained into the passage vortex, and the interaction of the vortex with the pressure side separation bubble. As a consequence, the mass-averaged stagnation pressure loss and therefore the design of a LPT depend on the state of the inlet endwall boundary layer. Unfortunately, the state of the boundary layer along the hub and casing under realistic engine conditions is not known. The results presented in this paper are taken from hot-film measurements performed on the casing of the fourth stage of the nozzle guide vanes of the cold flow affordable near term low emission (ANTLE) LPT rig. These results are compared with those from a low speed linear cascade of similar LPT blades. In the four-stage LPT rig, a transitional boundary layer has been found on the platforms upstream of the leading edge of the blades. The boundary layer is more turbulent near the leading edge of the blade and for higher Reynolds numbers. Within the passage, for both the cold flow four-stage rig and the low speed linear cascade, the new inlet boundary layer formed behind the pressure leg of the horseshoe vortex is a transitional boundary layer. The transition process progresses from the pressure to the suction surface of the passage in the direction of the secondary flow.
The discrete-ordinate method in diffusive regimes

Abstract In highly scattering regimes, the transport equation has a limit in which the leading behavior of its solution is determined by the solution of a diffusion equation. A boundary layer with a thickness of a few mean free paths usually forms between the domain boundary and the interior region, through which the given transport boundary conditions are matched to the interior tablesolution by properly choosing the boundary conditions for the diffusion equation. In order for a numerical scheme to be effective in these regimes, it must have both a correct interior diffusion limit and a correct boundary condition limit. The behavior of the discrete-ordinate method is studied in these limits and formulas for the resulting diffusion equation and its boundary conditions are found. By imposing the condition that these limiting formulas be the same as those for the transport equation, a new constraint on the quadrature set is obtained and a way to discretize the boundary data based on the discrete W-function .
A model for pore‐fluid‐sensitive rock behavior using a weathering state parameter

Chalk and other porous rocks are known to behave differently when saturated with different pore fluids. The behavior of these rocks varies with different pore fluids and additional deformation occurs when the pore fluid composition changes. In this article, we review the evidence that behavior in porous rocks is pore‐fluid‐dependent, present a constitutive model for pore‐fluid‐dependent porous rocks, and present a compilation of previously published data to develop quantitative relationships between various pore fluids and mechanical behavior. The model proposed here is based on a state parameter approach for weathering and has similarities to models previously proposed for weathering‐sensitive rocks in that the values for parameters that characterize material behavior vary as a function of weathering. Comparisons with published experimental data indicate that the model is capable of reproducing observed behavior of chalk under a variety of loading conditions and changes in pore fluid composition. Copyright © 2008 John Wiley & Sons, Ltd.
The Dynamic Poly(A) Tail Acts as a Signal Hub in mRNA Metabolism

In eukaryotes, mRNA metabolism requires a sophisticated signaling system. Recent studies have suggested that polyadenylate tail may play a vital role in such a system. The poly(A) tail used to be regarded as a common modification at the 3′ end of mRNA, but it is now known to be more than just that. It appears to act as a platform or hub that can be understood in two ways. On the one hand, polyadenylation and deadenylation machinery constantly regulates its dynamic activity; on the other hand, it exhibits the ability to recruit RNA-binding proteins and then interact with diverse factors to send various signals to regulate mRNA metabolism. In this paper, we outline the main complexes that regulate the dynamic activities of poly(A) tails, explain how these complexes participate polyadenylation/deadenylation process and summarize the diverse signals this hub emit. We are trying to make a point that the poly(A) tail can metaphorically act as a “flagman” who is supervised by polyadenylation and deadenylation and sends out signals to regulate the orderly functioning of mRNA metabolism.
Kerr microscopy observations of magnetization process in microfabricated ferromagnetic wires

The magnetization process in microfabricated NiFe wires was observed using a Kerr microscope. Magnetic wires were made from a 20-nm-thick NiFe film by using lift-off techniques. Their width W and length L were designed as W=0.5, 1.0 and 2.0 μm and L=50 μm, respectively. One end of the wire was connected to a square shaped head with a side of 2W, which is designed to act as a domain wall source. In each wire, necks with different width of 0.2W, 0.6W, and 0.8W were introduced as artificial pinning sites of a domain wall. By using an oil-immersion lens (NA=1.3) and a Hg lamp, magnetization reversals in very narrow wires, as narrow as 0.5 μm, were clearly observed. It is confirmed that domain wall penetration, pinning, depinning, and also the direction of wall motion are controllable using square shaped head and necks with optimized width.
A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System

Falls in older adults are a major cause of morbidity and mortality and are a key class of preventable injuries. This paper presents a patient-specific (PS) fall prediction and detection prototype system that utilizes a single tri-axial accelerometer attached to the patient’s thigh to distinguish between activities of daily living (ADL) and fall events. The proposed system consists of two modes of operation: 1) fast mode for fall predication (FMFP) predicting a fall event (300–700 msec) before occurring and 2) slow mode for fall detection (SMFD) with a 1-sec latency for detecting a fall event. The nonlinear support vector machine classifier (NLSVM)-based FMFP algorithm extracts seven discriminating features for the pre-fall case to identify a fall risk event and alarm the patient. The proposed SMFD algorithm utilizes a Three-cascaded 1-sec sliding frames classification architecture with a linear regression-based offline training to identify a single and optimal threshold for each patient. Fall incidence will trigger an alarming notice to the concern healthcare providers via the Internet. Experiments are performed with 20 different subjects (age above 65 years) and a total number of 100 associated falls and ADL recordings indoors and outdoors. The accuracy of the proposed algorithms is furthermore validated via MobiFall Dataset. FMFP achieves sensitivity and specificity of 97.8% and 99.1%, respectively, while SMFD achieves sensitivity and specificity of 98.6% and 99.3%, respectively, for a total number of 600 measured falls and ADL cases from 77 subjects.
Centres of Excellence for Adolescent Health and Development: A Case Study from Uttar Pradesh, India

Adolescents and young adult comprise a significant proportion of India’s population. Although, this group of the population faces serious challenges to their health and well-being. To promote their health and well-being, Centre of Excellence (CoE) at King George’s Medical University, Lucknow, India, serves as an advanced care facility for 10–24-year-old adolescents and young adult women. This paper reports the socio-demographic characteristics of, and health services availed to adolescents and young adults who are visiting the CoE in Lucknow, India. A total of 6038 beneficiaries received clinical services during June 2018–March 2022. Out of total clinical services, 38.37% counselling and 37.53% referral services were utilised. Menstruation (46.29%), sexual and reproductive (28.19%), nutrition (5.91%), and mental health (1.67%) related problems were highly reported. The age of beneficiaries is classified into three categories, i.e., 10–14, 15–19, and 20–24 years. Prevalence of overweight was highest among adolescents aged 20–24 years compared to other age groups. Other than nutrition, late-adolescent girls (15–19) faced more health problems than their counterparts. The percentage of beneficiaries decreased significantly during and post the COVID-19 period (<0.001). Therefore, age-specific programs are currently needed, and interventions need to be designed accordingly.
Computational Analysis Predicts Correlations among Amino Acids in SARS-CoV-2 Proteomes

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a serious global challenge requiring urgent and permanent therapeutic solutions. These solutions can only be engineered if the patterns and rate of mutations of the virus can be elucidated. Predicting mutations and the structure of proteins based on these mutations have become necessary for early drug and vaccine design purposes in anticipation of future viral mutations. The amino acid composition (AAC) of proteomes and individual viral proteins provide avenues for exploitation since AACs have been previously used to predict structure, shape and evolutionary rates. Herein, the frequency of amino acid residues found in 1637 complete proteomes belonging to 11 SARS-CoV-2 variants/lineages were analyzed. Leucine is the most abundant amino acid residue in the SARS-CoV-2 with an average AAC of 9.658% while tryptophan had the least abundance of 1.11%. The AAC and ranking of lysine and glycine varied in the proteome. For some variants, glycine had higher frequency and AAC than lysine and vice versa in other variants. Tryptophan was also observed to be the most intolerant to mutation in the various proteomes for the variants used. A correlogram revealed a very strong correlation of 0.999992 between B.1. 525 (Eta) and B.1. 526 (Iota) variants. Furthermore, isoleucine and threonine were observed to have a very strong negative correlation of −0.912, while cysteine and isoleucine had a very strong positive correlation of 0.835 at p < 0.001. Shapiro-Wilk normality test revealed that AAC values for all the amino acid residues except methionine showed no evidence of non-normality at p < 0.05. Thus, AACs of SARS-CoV-2 variants can be predicted using probability and z-scores. AACs may be beneficial in classifying viral strains, predicting viral disease types, members of protein families, protein interactions and for diagnostic purposes. They may also be used as a feature along with other crucial factors in machine-learning based algorithms to predict viral mutations. These mutation-predicting algorithms may help in developing effective therapeutics and vaccines for SARS-CoV-2.
Dynamic domination for fuzzy cognitive maps

In this paper, we propose a dynamic domination theory for fuzzy cognitive maps (FCMs). We first give the definitions of dynamic dominating set and minimal dynamic dominating set in FCMs. Then we study their properties and design an algorithm for finding a minimal dynamic dominating set. The dynamic domination theory presented in this paper provides a feasible and effective framework to study computer networks, social sciences, political situation and stock market analysis, and many others.
Multimorbidity in Asthma, Allergic Conditions and COPD Increase Disease Severity, Drug Use and Costs: The Finnish Pharmacy Survey

Background: Asthma, allergic conditions, and COPD overlap, but the effect of them and their combinations on disease severity, need for drugs, use of healthcare, and costs is poorly known. Objective: To study how different allergic diseases co-occur in asthma and allergy patients and evaluate the use of medication well as drug and healthcare costs. Methods: Nationwide Allergy Barometer Survey was carried out in the Finnish pharmacies during 1 week in September 2016. Altogether, 956 patients (5–75 years) who purchased asthma or allergy drugs with prescription participated in 351 pharmacies. Results: Of the participants, 78% reported physician-diagnosed asthma, 57% allergic rhinitis, 24% atopic eczema, 21% food allergy, 20% allergic conjunctivitis, 8% anaphylaxis, and 8% COPD. One-third of the patients had at least three conditions, and multimorbidity was common across all age groups. Disease severity increased with the number of coexisting conditions, and asthma severity also with age. Patients with asthma alone used on average 3.8 drugs with the annual costs of EUR 661. This increased to 4.9 drugs and EUR 847 in asthmatics with multimorbidity. For all participants, costs of drugs and healthcare services together during the preceding year were on average EUR 1,214, of which 56% were drug costs. The costs doubled to EUR 2,714 in 65 subjects (7%) who had both asthma and COPD. Conclusions: In asthma and allergy, multimorbidity and polypharmacy are major concerns. Disease severity, drug use, and costs increased with multimorbid conditions. To reduce the burden, allergy management should be better integrated and more comprehensive.
Immunotherapy in Melanoma: Recent Advances and Future Directions

Simple Summary Immunotherapy has demonstrated the ability to reduce the risk of recurrence for melanoma following surgical resection and improve survival in patients with unresectable disease. Despite the significant advances made in the treatment of patients with melanoma, many patients will have recurrence or progression of disease despite currently available treatments. It is, therefore, critical to identify additional immunotherapy agents that will provide clinical benefit on their own or in combination with existing therapies. In this review, we explore the recent history of immunotherapy development, highlight landmark trials, and discuss promising treatments for patients refractory to current therapies. Abstract The use of immunotherapy in the treatment of advanced and high-risk melanoma has led to a striking improvement in outcomes. Although the incidence of melanoma has continued to rise, median survival has improved from approximately 6 months to nearly 6 years for patients with advanced inoperable stage IV disease. Recent understanding of the tumor microenvironment and its interplay with the immune system has led to the explosive development of novel immunotherapy treatments. Since the approval of the therapeutic cytokines interleukin-2 and interferon alfa-2 in the 1990s, the development of novel immune checkpoint inhibitors (ICIs), oncolytic virus therapy, and modulators of the tumor microenvironment have given way to a new era in melanoma treatment. Monoclonal antibodies directed at programmed cell death protein 1 receptor (PD-1) and its ligand (PDL-1), cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), and lymphocyte-activation gene 3 (LAG-3) have provided robust activation of the adaptive immune system, restoring immune surveillance leading to host tumor recognition and destruction. Multiple other immunomodulatory therapeutics are under investigation to overcome resistance to ICI therapy, including the toll-like receptor-9 (TLR-9) and 7/8 (TLR-7/8) agonists, stimulator of interferon genes (STING) agonists, and fecal microbiota transplantation. In this review, we focus on the recent advances in immunotherapy for the treatment of melanoma and provide an update on novel therapies currently under investigation.
On the Summation of Series Involving Bessel or Struve Functions

Abstract The subject called “summation of series” can be viewed in two different ways. From one point of view, it means numerical summation which involves acceleration of convergence, and from the other, it represents a variety of summation formulas which are considered important, but which are often not useful. The aim of this paper is to produce a compromise between the two opposite approaches when series of Bessel or Struve functions are considered. The proposed method leads to series of Riemann zeta and related functions which converge much faster than the originals. In the most significant cases, closed-form formulas were obtained.
Women in agribusiness amid crises of social reproduction: the case of women workers at the Greenhouse, Turkey

ABSTRACT This article focuses on the particular intersection of crises and change in gender- and generation-based social reproduction with agrarian change in the form of a large-scale land grab/investment from a feminist perspective. Based on a case study, it interrogates women’s laboring practices as waged labor in a greenhouse in Western Anatolia. I investigate the reasons why women seem to be determined to continue their employment at the Greenhouse while keeping their distance from their previous lives as small-producers and agricultural laborers. Three dynamics are taken into account: women’s perceptions of being peasant/worker; their future prospects in small-scale agricultural production and young generations’ participation in those activities; the niches women create to transform their lives via their work with critical reference to empowerment.
Inactivation of Lactobacillus brevis cells and Bacillus cereus spores as influenced by pressure, shear, thermal, and valve geometry

ABSTRACT This study investigated the influence of pressure, shear, temperature, and their interactions on the inactivation of two bacteria – Lactobacillus brevis and Bacillus cereus spores. Cell suspension of L. brevis (1.6 × 1010 CFU/mL) and spore suspension of B. cereus (3.2 × 108 CFU/mL) were suspended in HEPES buffer (pH 7.3) and subjected to ultra-shear treatment (UST) at 400 MPa, process temperatures of 40 and 70°C, and flow rate of 0.0012 ± 0.0003 kg/s. In separate equipment, thermal (0.1 MPa-70°C-0/5 min) and high-pressure processing (HPP-400 MPa-40°C and 70°C-0/5 min) experiments were carried out to evaluate thermal only, pressure only, and combined pressure-thermal effects. Pressure-only treatment at 400 MPa for 0 min (come-up time) at 70°C resulted in 8.4 and 2.3 log reductions of L. brevis cells and B. cereus spores, respectively. After UST treatment at 70°C, L. brevis and B. cereus spores were reduced by 7.1 and 1.6 logs, respectively. Both strains showed different sensitivities to thermal, pressure, shear, and their combinations. B. cereus spores were relatively more resistant to HPP and UST treatments. Three valve geometries, namely, ultra-shear valve, needle valve, and tubular valve, were used to compare UST treatment effect on L. brevis and B. cereus spores at 40 and 70°C. UST treatment using the ultra-shear valve produced inactivation of 2.0 and 7.1 log cycles for L. brevis during 40 and 70°C process temperatures, respectively, which was relatively higher than needle valve and tubular valve. This higher inactivation could be attributed to the smaller valve gap and higher shear rate in the ultra-shear valve. Further, the comparatively higher inactivation at 70°C UST (7.1 log) emphasized the role of temperature on inactivation during UST. For both L. brevis and B. cereus, the inactivation was least in the tubular valve with relatively lesser shear rate, which indicated the desirable contribution of high shear rate for microbial inactivation. The information from this study contributes to the development of safe harbor UST process conditions for liquid foods.
Protecting those who serve: are we doing enough to prevent tuberculosis in healthcare workers?

The continuous flow of scientific articles on high tuberculosis (TB) morbidity and mortality over the past decades highlight a partial or total failure of national and local policies to address a potentially curable and preventable infectious disease. The ongoing transmission of Mycobacterium tuberculosis strains in the community and in healthcare settings proves the inability of the system to epidemiologically reverse the natural history of this ancient disease. Ironically, these hospitals and health centres, places where people go for healing, are places of high risk for TB infection and disease for those attending inpatient and outpatient settings, including for healthcare workers. Tuberculosis in healthcare workers can be prevented http://ow.ly/Xke330o6B0N
Cyberbullying, Social Media Addiction and Associations with Depression, Anxiety, and Stress among Medical Students in Malaysia

This study aims to determine the prevalence and factors associated with cyberbullying and social media addiction. This cross-sectional study was conducted among 270 medical students from a public university in Kuching, Malaysia. The instruments used in this study included the cyberbullying questionnaire survey, Bergen Social Media Addiction Scale (BSMAS), and the Depression Anxiety Stress Scale 21-item (DASS-21). The prevalence of cyberbullying victimization was 24.4%, whilst 13.0% reported cyberbullying perpetration over the past six months. Male gender was positively associated with both cyberbullying perpetration and cybervictimization, whilst social media addiction was positively associated with cybervictimization. Psychological motives such as positive attitudes toward cyberbullying and gaining power were associated with cyberbullying perpetration. Cybervictimization doubled the tendency to depression (aOR 2.50, 95% CI [1.23, 5.08], p = 0.012), anxiety (aOR 2.38, 95% CI [1.29, 4.40], p = 0.006), and stress (aOR 2.85, 95% CI [1.41, 5.77], p = 0.004), whilst social media addiction was associated with a higher tendency to depression (aOR 1.18, 95% CI [1.10, 1.26], p < 0.001), anxiety (aOR 1.15, 95% CI [1.08, 1.22], p < 0.001), and stress (aOR 1.21, 95% CI [1.12, 1.32], p < 0.001). Medical schools in Malaysia need policies and guidelines against cyberbullying.