Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Contributing to Loss to Follow-Up from HIV Care Among Men Living with HIV/AIDS in Kibaha District, Tanzania

Purpose Human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) remains a global public health challenge and epidemic disease in sub-Saharan African (SSA) countries. Retention in HIV care should be emphasized to reach”, 95-95-95” the Joint United Nations Program on HIV/AIDS (UNAIDS) target by 2030. In Tanzania, in spite of existing strategies to ensure retention, loss to follow-up (LTFU) among HIV-infected men is still a common challenge. With limited studies focusing on men’s population, little is known on their perspectives on factors contributing to LTFU. This study aimed to explore factors contributing to LTFU among men living with HIV/AIDS in the Kibaha district and to try to formulate strategies that work for men. Methods The qualitative study using a phenomenological approach was conducted among 16 men with experience in LTFU from three HIV care and treatment clinics located in the Kibaha district. Purposive sampling was used to select informants for semi-structured in-depth interviews from August to December, 2021. The collected data was analyzed thematically. Results The findings were grouped into three themes which highlightedthe contribution of individual factors, socio-economic factors and health system factors. These factors include anticipated HIV-related stigma, lack of disclosure of their HIV status to their partners, poor knowledge on HIV care, unbearable antiretroviral (ART) medication side effects, sharing of ART medications with their partners, perceived good health status, financial difficulties, work-related travels, demanding employment schedules, spiritual belief in faith healing, poor conduct among healthcare workers and loss of Care and Treatment Clinic (CTC) cards hindered their use of ART services at clinics. Conclusion The findings from this study revealed linked multi-level factors that influence LTFU from HIV care among HIV-infected men. In order to retain men in HIV care, tailored intervention approaches should be formulated.
Weak turbulence in the magnetosphere: Formation of whistler wave cavity by nonlinear scattering

We consider the weak turbulence of whistler waves in the in low-β inner magnetosphere of the earth. Whistler waves, originating in the ionosphere, propagate radially outward and can trigger nonlinear induced scattering by thermal electrons provided the wave energy density is large enough. Nonlinear scattering can substantially change the direction of the wave vector of whistler waves and hence the direction of energy flux with only a small change in the frequency. A portion of whistler waves return to the ionosphere with a smaller perpendicular wave vector resulting in diminished linear damping and enhanced ability to pitch-angle scatter trapped electrons. In addition, a portion of the scattered wave packets can be reflected near the ionosphere back into the magnetosphere. Through multiple nonlinear scatterings and ionospheric reflections a long-lived wave cavity containing turbulent whistler waves can be formed with the appropriate properties to efficiently pitch-angle scatter trapped electrons. The prim.
HSP90 inhibitors and cancer: Prospects for use in targeted therapies (Review)

Heat shock protein 90 (HSP90) is a vital chaperone protein, regulating signaling pathways and correcting misfolded proteins in cancer cells by interacting with oncogenic client proteins and co-chaperones. The inhibition of HSP90 chaperone machinery has been demonstrated as a potential approach with which to inhibit tumor survival, proliferation, invasion and migration. Numerous HSP90 inhibitors have been reported and have exhibited value as cancer-targeted therapies by interrupting the ATPase activity of HSP90, thus suppressing the oncogenic pathways in cancer cells. These inhibitors have been classified into three categories: i) N-terminal domain (NTD) inhibitors; ii) C-terminal domain (CTD) inhibitors; and iii) isoform-selective inhibitors. However, none of these HSP90 inhibitors are used as clinical treatments. The major limiting factors can be summarized into drug resistance, dose-limiting toxicity and poor pharmacokinetic profiles. Novel HSP90-targeted compounds are constantly being discovered and tested for their antitumor efficacy in preclinical and clinical trials, highlighting the prospect of the use of HSP90 inhibitors as cancer-targeted therapies. Additionally, improved antitumor effects have been observed when HSP90 inhibitors are used in combination with chemotherapy, targeted agents, or immunotherapy. In the present review, the effects of HSP90 inhibitors on the management of the cancer process are discussed and previous and novel HSP90-based therapeutic strategies in cancer treatment are summarized. Furthermore, prospective HSP90-targeting candidates are proposed for their future evaluation as cancer treatments.
A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions

Extracting useful knowledge from proper data analysis is a very challenging task for efficient and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) algorithms, while, especially in healthcare, this complexity increases due to the domain’s requirements for analytics-based risk predictions. This manuscript proposes a data analysis mechanism experimented in diverse healthcare scenarios, towards constructing a catalogue of the most efficient ML algorithms to be used depending on the healthcare scenario’s requirements and datasets, for efficiently predicting the onset of a disease. To this context, seven (7) different ML algorithms (Naïve Bayes, K-Nearest Neighbors, Decision Tree, Logistic Regression, Random Forest, Neural Networks, Stochastic Gradient Descent) have been executed on top of diverse healthcare scenarios (stroke, COVID-19, diabetes, breast cancer, kidney disease, heart failure). Based on a variety of performance metrics (accuracy, recall, precision, F1-score, specificity, confusion matrix), it has been identified that a sub-set of ML algorithms are more efficient for timely predictions under specific healthcare scenarios, and that is why the envisioned ML catalogue prioritizes the ML algorithms to be used, depending on the scenarios’ nature and needed metrics. Further evaluation must be performed considering additional scenarios, involving state-of-the-art techniques (e.g., cloud deployment, federated ML) for improving the mechanism’s efficiency.
MYCORRHIZAL DEVELOPMENT IN EUCALYPTUS CAMALDULENSIS

: Effects of arbuscular mycorrhizal (AM) and ectomycorrhizal (EM) inoculation on mycorrhiza formation and development in E. camaldulensis seedlings were assessed in this study. Two experiments, the first with AM fungi and the second with EM fungi, were set up successively using vermiculite-peat (VP) as growth medium, and 2.5 mg l -1 , 5.0 mg l -1 , 10 mg l -1 and 20 mg l -1 phosphorus (P) Ingestad's nutrient solution in each experiment . The AM experiment using three AM inocula (including Glomus clarum Nicolson and Schenck. (isolate BR148-1) and Gigaspora rosea Nicolson and Schenck. (isolate FL105-5) and one from a trap culture of Bangladeshi soil) resulted in 30-50% colonisation; most colonisation was by G. clarum BR148-1 and was the highest at 10 mg l -1 P (>50%). In a similar experiment using five isolates of Pisolithus tinctorius (Pers.) Coker and Couch. , only isolate K55 resulted in colonisation >15% most of which occurred at 2.5 mg l -1 P (>25%) while the other isolates resulted in <1% colonisation. This study showed that E . camaldulensis tended to be colonised more readily by arbuscular- than ecto-mycorrhizal fungi in the initial period of seedling growth. There were indications that the species could become ectomycorrhizal after 16 weeks of growth in glasshouse, but that proper care should be taken to select appropriate and compatible EM inoculants.
Magnetic ordering and structural distortion in Ru doped BaFe2As2 single crystals studied by Neutron and X-ray diffraction

compounds (0≤x ≤0.246). Neutron and x-ray diffraction measurements demonstratethat, unlike for the electron-doped compounds, the structural and magnetic transitions remain coincident in tem-perature. Both the magnetic and structural transitions are gradually suppressed with increased Ru concentrationand coexist with superconductivity. For samples that are superconducting, we ﬁnd strong competition betweensuperconductivity, the antiferromagnetic ordering, and the structural distortion.
Heterotic discrete flavor model

We present an extended 331 model with $T'$ discrete flavor symmetry that simultaneously explains the need to have exactly three generations and provides acceptable quark and lepton masses and mixings. New fermionic states and gauge bosons are predicted within the reach of the LHC. We discuss the relevance to the 126 GeV scalar discovered at the LHC.
State-dependent linear-optical qubit amplifier

We propose a linear-optical setup for heralded qubit amplification with tunable output qubit fidelity. We study its success probability as a function of output qubit fidelity showing that at the expense of lower fidelity, the setup can considerably increase probability of successful operation. These results are subsequently applied in a proposal for state dependent qubit amplification. Similarly to state-dependent quantum cloning, the a priori information about the input state allows to optimize the qubit amplification procedure to obtain better fidelity versus success probability trade-off.
Explicit SU(12) family and flavor unification model with natural fermion masses and mixings

We present an SU(12) unification model with three light chiral families, avoiding any external flavor symmetries. The hierarchy of quark and lepton masses and mixings is explained by higher dimensional Yukawa interactions involving Higgs bosons that contain SU(5) singlet fields with VEVs about 50 times smaller than the SU(12) unification scale. The presented model has been analyzed in detail and found to be in very good agreement with the observed quark and lepton masses and mixings.
Development and Comprehensive Characteristics of Thermosensitive Liquid Suppositories of Metoprolol Based on Poly(lactide-co-glycolide) Nanoparticles

Thermosensitive liquid suppositories (LSs) carrying the model antihypertensive drug metoprolol tartrate (MT) were developed and evaluated. The fundamental purpose of this work was to produce, for the first time, liquid MT suppositories based on biodegradable nanoparticles and optimize their rheological and mechanical properties for prospective rectal administration. The nanoparticle system was based on a biodegradable copolymer synthesized by ring opening polymerization (ROP) of glycolide (GL) and L,L-lactide (LLA). Biodegradable nanoparticles loaded with the model drug were produced by the o/o method at the first stage of the investigation. Depending on the concentration of the drug in the sample, from 66 to 91% of MT was released over 12 h, according to first-order kinetics. Then, thermosensitive LSs with MT-loaded biodegradable nanoparticles were obtained by a cold method and their mechanical and rheological properties were evaluated. To adjust the thermogelling and mucoadhesive properties for rectal administration, the amounts of major formulation components such as poloxamers (P407, P188), Tween 80, hydroxypropylcellulose (HPC), polyvinylpyrrolidone (PVP), and sodium alginate were optimized. The in vitro release results revealed that more than 80% of the MT was released after 12 h, following also first-order kinetics. It was discovered that the diffusion process was dominant. The drug release profile was mainly governed by the rheological and mechanical properties of the developed formulation. Such a novel, thermosensitive formulation might be an effective alternative to hypertension treatment, particularly for unconscious patients, patients with mental illnesses, geriatric patients, and children.
LARGE LATE-TIME ASPHERICITIES IN THREE TYPE IIP SUPERNOVAE

Type II-plateau supernovae (SNe IIP) are the results of the explosions of red supergiants and are the most common subclass of core-collapse supernovae. Past observations have shown that the outer layers of the ejecta of SNe IIP are largely spherical, but the degree of asphericity increases toward the core. We present evidence for high degrees of asphericity in the inner cores of three recent SNe IIP (SNe 2006my, 2006ov, and 2007aa), as revealed by late-time optical spectropolarimetry. The three objects were all selected to have very low interstellar polarization (ISP), which minimizes the uncertainties in ISP removal and allows us to use the continuum polarization as a tracer of asphericity. The three objects have intrinsic continuum polarizations in the range of 0.83%–1.56% in observations taken after the end of the photometric plateau, with the polarization dropping to almost zero at the wavelengths of strong emission lines. Our observations of SN 2007aa at earlier times, taken on the photometric plateau, show contrastingly smaller continuum polarizations (∼0.1%). The late-time Hα and [O i] line profiles of SN 2006ov provide further evidence for asphericities in the inner ejecta. Such high core polarizations in very ordinary core-collapse supernovae provide further evidence that essentially all core-collapse supernova explosions are highly aspherical, even if the outer parts of the ejecta show only small deviations from spherical symmetry.
Entanglement in the classical limit: Quantum correlations from classical probabilities

We investigate entanglement for a composite closed system endowed with a scaling property allowing to keep the dynamics invariant while the effective Planck constant hbar_eff of the system is varied. Entanglement increases as hbar_eff goes to 0. Moreover for sufficiently low hbar_eff the evolution of the quantum correlations, encapsulated for example in the quantum discord, can be obtained from the mutual information of the corresponding \emph{classical} system. We show this behavior is due to the local suppression of path interferences in the interaction that generates the entanglement. This behavior should be generic for quantum systems in the classical limit.
Lectures on Scattering Amplitudes in String Theory

In these lecture notes, we take a closer look at the calculation of scattering amplitudes for the bosonic string. It is believed that string theories form the UV completions of (super)gravity theories. Support for this claim can be found in the (on-shell) scattering amplitudes of strings. On the other hand, studying these string scattering amplitudes opens a window on the UV behavior of the string theories themselves. In these short set of lectures, we discuss the two-dimensional Polyakov path integral for the string, and its gauge symmetries, the connection to Riemann surfaces and how to obtain some of the simplest string scattering amplitudes. We end with some comments on more advanced topics. For simplicity we limit ourselves to bosonic open string theory in 26 dimensions.
TESTING THE ASTEROSEISMIC SCALING RELATIONS FOR RED GIANTS WITH ECLIPSING BINARIES OBSERVED BY KEPLER

Given the potential of ensemble asteroseismology for understanding fundamental properties of large numbers of stars, it is critical to determine the accuracy of the scaling relations on which these measurements are based. From several powerful validation techniques, all indications so far show that stellar radius estimates from the asteroseismic scaling relations are accurate to within a few percent. Eclipsing binary systems hosting at least one star with detectable solar-like oscillations constitute the ideal test objects for validating asteroseismic radius and mass inferences. By combining radial velocity (RV) measurements and photometric time series of eclipses, it is possible to determine the masses and radii of each component of a double-lined spectroscopic binary. We report the results of a four-year RV survey performed with the échelle spectrometer of the Astrophysical Research Consortium’s 3.5 m telescope and the APOGEE spectrometer at Apache Point Observatory. We compare the masses and radii of 10 red giants (RGs) obtained by combining radial velocities and eclipse photometry with the estimates from the asteroseismic scaling relations. We find that the asteroseismic scaling relations overestimate RG radii by about 5% on average and masses by about 15% for stars at various stages of RG evolution. Systematic overestimation of mass leads to underestimation of stellar age, which can have important implications for ensemble asteroseismology used for Galactic studies. As part of a second objective, where asteroseismology is used for understanding binary systems, we confirm that oscillations of RGs in close binaries can be suppressed enough to be undetectable, a hypothesis that was proposed in a previous work.
Effect of shear flow on Wormlike micelles

We use a hybrid method that combines the Multiparticle collision dynamics (MPCD) for solvent particles with the molecular dynamics for equilibrium polymers to simulate the shearing of the equilibrium polymers (or Wormlike micelles) at a mesoscopic length scale. The MPCD method incorporates the hydrodynamic interaction with the polymeric chains. We show successful implementation of the method on the model equilibrium polymers (or Wormlike micelles) and observe that the order of the Iso-Nem transition of the polymeric system is affected by the shear rate. Moreover, the chains of the equilibrium polymers first increase in their average length with the increase in shear rate but then show a decrease in their average length after crossing a particular value of the shear rate which shows the breaking of chains due to shear stress when their nematic order remains unchanged. This model and method can be further used to investigate the shear banding in Wormlike micelles or other interesting properties of such systems.
Massively parallel computation of globally optimal shortest paths with curvature penalization

We address the computation of paths globally minimizing an energy involving their curvature, with given endpoints and tangents at these endpoints, according to models known as the Reeds‐Shepp car (reversible and forward variants), the Euler‐Mumford elasticae, and the Dubins car. For that purpose, we numerically solve degenerate variants of the eikonal equation, on a three‐dimensional domain, in a massively parallel manner on a graphical processing unit. Due to the high anisotropy and nonlinearity of the addressed Partial Differential Equation, the discretization stencil is rather wide, has numerous elements, and is costly to generate, which leads to subtle compromises between computational cost, memory usage, and cache coherency. Accelerations by a factor 30 to 120 are obtained w.r. t a sequential implementation. The efficiency and the robustness of the method is illustrated in various contexts, ranging from motion planning to vessel segmentation and radar configuration.
Brane tilings and their applications

We review recent developments in the theory of brane tilings and four‐dimensional 𝒩 = 1 supersymmetric quiver gauge theories. This review consists of two parts. In part I, we describe foundations of brane tilings, emphasizing the physical interpretation of brane tilings as fivebrane systems. In part II, we discuss application of brane tilings to AdS/CFT correspondence and homological mirror symmetry. More topics, such as orientifold of brane tilings, phenomenological model building, similarities with BPS solitons in supersymmetric gauge theories, are also briefly discussed. This paper is a revised version of the author's master's thesis submitted to Department of Physics, Faculty of Science, the University of Tokyo on January 2008, and is based on his several papers and some works in progress [1–7].
Inter‐Model Spread of the Simulated Winter Surface Air Temperature Over the Eurasian Continent and the Physical Linkage to the Jet Streams From the CMIP6 Models

The model uncertainty, one of the major sources of projection uncertainty, is still a challenge in the climate simulation. In this study, we investigated the inter‐model spread of the simulated winter surface air temperature (SAT) over the Eurasian continent and the physical link to the upper‐level jet streams from the Coupled Model Inter‐comparison Project Phase 6 models. Extracted by the inter‐model empirical orthogonal function analysis, the leading inter‐model spread of SAT over the Eurasian continent is characterized by a cold pattern, particularly over high latitudes, which is closely associated with the out‐of‐phase variation in the intensity of the East Asian polar front jet (EAPJ) and East Asian subtropical jet (EASJ). The weakened‐EAPJ‐enhanced‐EASJ pattern is linked to the intensified Siberian high, the strengthened Aleutian low, and the deepened East Asian trough. All the variations would benefit the cold air invasion, resulting in the leading inter‐model spread of the SAT. The possible mechanism for the inter‐model uncertainty in the out‐of‐phase variation in the intensity of the two jets would be traced to the cooling over the Northwest Pacific oceans, which has reduced (enhanced) the meridional temperature gradient over high (low) latitudes and thereby contributed to the out of phase variation in the two jets. Our findings would help provide a potential metric for understanding the winter SAT change over the Eurasian continent.
Diffusive Metrics Induced by Random Affinities on Graphs. An Application to the Transport Systems Related to the COVID-19 Setting for Buenos Aires (AMBA)

The aim of this paper is to apply the diffusive metric technique defined by the spectral analysis of graph Laplacians to the set of the 41 cities belonging to AMBA, the largest urban concentration in Argentina, based on public transport and neighborhood. It could be expected that the propagation of any epidemic desease would follow the paths determined by those metrics. Our result reflects that the isolation measures decided by the health administration helped at the atenuation of the actual spread of COVID-19 in AMBA.
Virtual social science

Can we describe social systems quantitatively and predictively, when we know all the actions, interactions, and states of individuals? We interpret human societies as co-evolutionary systems of individuals and their interactions. Based on unique data of a society of computer game players, where all actions and interactions between all players are known, we show that this might indeed be possible. Within this framework we address a number of sociological classics, including formation of social networks, strength of relations, group formation, hierarchical organization, aggression management, gender differences, mobility, and wealth-inequality. We discover behavioral and organizational patterns of the homo sapiens and its society that were not visible with traditional methodology from the social sciences.
Contact resistivity and current flow path at metal/graphene contact

The contact properties between metal and graphene were examined. The electrical measurement on a multiprobe device with different contact areas revealed that the current flow preferentially entered graphene at the edge of the contact metal. The analysis using the cross-bridge Kelvin (CBK) structure suggested that a transition from the edge conduction to area conduction occurred for a contact length shorter than the transfer length of ∼1 μm. The contact resistivity for Ni was measured as ∼5×10−6 Ω cm2 using the CBK. A simple calculation suggests that a contact resistivity less than 10−9 Ω cm2 is required for miniaturized graphene field effect transistors.