Miracle-dz/UniFAR-FTUs huggingface dataset:
Nanostructured Hybrid Hydrogels for Solar-Driven Clean Water Harvesting from the Atmosphere

The scarcity of useable water is severe and increasing in several regions of the Middle East, Central and Southern Asia, and Northern Africa. However, the earth’s atmosphere contains 37.5 million billion gallons of water in the invisible vapor phase with fast replenishment. The United Nations Convention to Combat Desertification reports that by 2025 about 2.4 billion people will suffer from a lack of access to safe drinking water. Extensive research has been conducted during the last two decades to develop nature-inspired nanotechnology-based atmospheric water-harvesting technology (atmospheric water generator, AWG) to provide clean water to humanity. However, the performance of this technology is humidity sensitive, particularly when the relative humidity (RH) is high (>~80% RH). Moreover, the fundamental design principle of the materials system for harvesting atmospheric water is mostly unknown. In this work, we present a promising technology for solar energy-driven clean water production in arid and semi-arid regions and remote communities. A polymeric electrospun hybrid hydrogel consisting of deliquescent salt (CaCl2) and nanomaterials was fabricated, and the atmospheric water vapor harvesting capacity was measured. The harvested water was easily released from the hydrogel under regular sunlight via the photothermal effect. The experimental tests of this hybrid hydrogel (PAN/AM/graphene/CaCl2) demonstrated the feasibility of around 1.04 L of freshwater production per kilogram of the hydrogel (RH 60%). The synergistic effect enabled by photothermal materials and deliquescent salt in the hydrogel network architecture presents controllable interaction with water molecules, simultaneously realizing efficient water harvesting. This technology requires no additional input of energy. When considering the global environmental challenges and exploring the available technologies, a sustainable clean water supply for households, industry, and agriculture can be achieved from the air using this economical and practical technology.
Field Validation of Avian Diversity at Uchalli Wetland Complex: A Ramsar Site in Khushab, Pakistan

Wetlands are one of the major habitats that play a vital role in the survival of biodiversity. The recent study aimed to evaluate diversity, abundance and threats to birds of an important Ramsar site, Uchalli Wetland Complex, along with Ahmedabad lake. Data were collected by direct (point count) as well as indirect method (interviews) from December 2020 to May 2021. In total, 139 avian species of 27,450 individuals were recorded at study sites. Results revealed that the species richness was maximum at Uchalli (133), followed by Khabbaki (92), Jahlar (88), and Ahmedabad lake (79). The Shannon Weiner index and Simpson index values for Jahlar lake, Uchalli lake, Khabbaki lake, and Ahmedabad lake were (2.99, 0.90), (2.32, 0.82), (2.26, 0.66) and (1.72, 0.51) respectively. The omnivore was the most abundant (40%) feeding guild followed by carnivores (32%) and insectivores (20%). Four vulnerable species sarus crane ( Grus antigone ), southern grey shrike ( Lanius excubitor ), imperial eagle ( Aquila heliaca ), and common pochard ( Aythya ferina ), four near-threatened species ferruginous pochard ( Aythya nyroca ), northern lapwing ( Vanellus vanellus ), alexandrine parakeet ( Psittacula eupatria ), and pallid harrier ( Circus macrourus ), and one endangered species steppe eagle ( Aquila nipalensis ) were observed during the study. These species require special attention for conservation as illegal hunting is one of the major threats to the species in the study area. Other threats include fishing, use of insecticides and pesticides.
Considering Both HBCU and PWI Options: Exploring the College Choice Process of First-Year Black Students

ABSTRACT The purpose of this multiple case study was to examine the motivational factors behind Black students’ decisions to attend either a historically Black college/university (HBCU) or a predominantly white institution (PWI) when applying to both institutional systems. The study sample included 24 total participants: 12 first-year students from an HBCU and 12 first-year students from a PWI. The primary mode of data collection was one-on-one semi-structured interviews with each participant lasting for approximately one hour. We found in the college choice process, Black students: (a) Discussed College Options with Family and School/Community Members; (b) Learned about HBCUs and PWIs through Tours, Admissions Staff, and Media, (c) Considered Family, Strategy, and Academics in Their Decision to Apply to Both; and (d) Based Final Decision on Affordability, Campus Culture, and Location. Our findings have the potential to inform how practitioners along the educational pipeline can better support Black students’ college choice process.
Populism and the print media: the case of Japan

Abstract Japan has experienced many of the factors associated with populism, but has not experienced an upsurge of populism in national-level politics. We posit that the dominant frames in the Japanese print media coverage of populism form a crucial and overlooked part of the explanation for the absence of populism. Our qualitative human-coded analysis of quality and tabloid coverage demonstrates that overall, the Japanese newspapers act as gatekeepers and set an agenda that is unfavorable for right-wing populism. The press engage in ‘media populism’ and frame populism – and alternatives to the status quo more generally – as a threat. Moreover, the print media are not hostile to immigrants in ways that populists could leverage.
Formation of ultra-compact dwarf galaxies from supergiant molecular clouds

The origin of ultra-compact dwarf galaxies (UCDs) is not yet clear. One possible formation path of UCDs is the threshing of a nucleated elliptical dwarf galaxy (dE, N), however, it remains unclear how such massive nuclear stellar systems were formed in dwarf galaxies. To better establish the early history of UCDs, we investigate the formation of UCD progenitor clusters from super giant molecular clouds (SGMCs), using hydrodynamical simulations. In this study we focus on SGMCs with masses $10^{7} - 10^{8} \rm M_{\odot}$ that can form massive star clusters that display physical properties similar to UCDs. We find that the clusters have extended star formation histories with two phases, producing multiple distinct stellar populations, and that the star formation rate is dependent on the feedback effects of SNe and AGB stars. The later generations of stars formed in these clusters are more compact, leading to a clearly nested structure, and these stars will be more He-rich than those of the first generation, leading to a slight colour gradient. The simulated clusters demonstrate scaling relations between $R_{\rm eff}$ and $M$ and $\sigma_{v}$ and $M$ consistent with those observed in UCDs and strongly consistent with those of the original SGMC. We discuss whether SGMCs such as these can be formed through merging of self-gravitating molecular clouds in galaxies at high-z.
Capacitive coupling of two transmission line resonators mediated by the phonon number of a nanoelectromechanical oscillator

Detection of quantum features in mechanical systems at the nanoscale constitutes a challenging task, given the weak interaction with other elements and the available technology. Here we describe the interaction between two monomodal transmission-line resonators (TLRs) mediated by vibrations of a nanoelectromechanical oscillator. This scheme is then employed for quantum nondemolition detection of the number of phonons in the nanoelectromechanical oscillator through a direct current measurement in the output of one of the TLRs. For that to be possible an undepleted field inside one of the TLRs works as an amplifier for the interaction between the mechanical resonator and the remaining TLR. We also show how the nonclassical nature of this system can be used for generation of tripartite entanglement and conditioned mechanical coherent superposition states, which may be further explored for detection processes.
Energy cost of walking in obese survivors of acute lymphoblastic leukemia: A report from the St. Jude Lifetime Cohort

Purpose Adult survivors of childhood acute lymphoblastic leukemia (ALL) have impaired adaptive physical function and poor health-related quality of life (HRQoL). Obesity may contribute to these impairments by increasing the physiological cost of walking. Due to treatment exposures during ALL therapy, survivors’ cost of walking may be more impacted by obesity than the general population. Therefore, we examined associations between obesity, persistent motor neuropathy, and energy cost of walking; and examined associations between energy cost of walking, adaptive physical function, and HRQoL, in adult survivors of childhood ALL vs. community controls. Methods Obesity was measured via body mass index (BMI) and body fat percentage. The physiological cost index (PCI) was calculated from the six-minute walk test. Adaptive physical functioning was measured using two tests: the timed up and go (TUG) test and the physical performance test. Persistent motor neuropathy was measured using the modified total neuropathy score; HRQoL was measured using the Short-Form-36 questionnaire. The associations between obesity and PCI were evaluated using multivariable linear regressions in adult survivors of childhood ALL (n = 1,166) and community controls (n = 491). Then, the associations between PCI, adaptive physical functioning and peripheral neuropathy were examined using multivariable linear regressions. Finally, to determine the association between obesity, and neuropathy on PCI, while accounting for potential lifestyle and treatment confounders, a three model, sequential linear regression was used. Results Obese individuals (BMI > 40 kg/m2 and excess body fat percentage [males: >25%; females: >33%]) had higher PCI compared to those with normal BMI and body fat percentage (0.56 ± 0.01 vs. 0.49 ± 0.009 beats/meter p < .01; and 0.51 ± 0.007 vs. 0.48 ± .0006 beats/meter p < .01, respectively). Treatment exposures did not attenuate this association. Increased PCI was associated with longer TUG time in survivors, but not community controls (6.14 ± 0.02 s vs. 5.19 ± 0.03 s, p < .01). Survivors with PCI impairment >95th percentile of community controls had lower HRQoL compared to un-impaired ALL survivors: 46.9 ± 0.56 vs. 50.4 ± 1.08, respectively (p < .01). Conclusion Obesity was associated with increased PCI. Survivors with high PCI had disproportionately worse adaptive physical function and HRQoL compared to controls. Survivors with increased energy costs of walking may benefit from weight loss interventions.
Bmpr2 mutant mice are an inadequate model for studying iron deficiency in pulmonary hypertension

Abstract As bone morphogenetic protein receptor type II (Bmpr2) mutations are the most common genetic cause of pulmonary arterial hypertension (PAH), and iron deficiency (ID) is associated with worse clinical outcomes in PAH patients, we proposed to use Bmpr2 ± mice to induce a model of ID in pulmonary vascular disease. Our study shows that these transgenic mice are not a good model for this clinical phenomenon.
Is There Value in Including Information about Animal Cognition and Emotion in Zoo Messaging?

Abstract What kind of zoo signage is most likely to engage patrons and lead to interest in an animal? We conducted three laboratory studies designed to shed light on this issue by examining the effect of providing information about two features of an animal: 1) its cognitive ability, and 2) its emotional complexity. In Study 1, compared to typical ID label information, both cognitive and emotional information produced more positive ratings of the animal. In Study 2, we compared emotional information presenting the animal in a positive light and similar information presenting the animal in a negative light. In Study 3, we compared the effects of each kind of information for animals differing in charisma (arachnid or bird). There were significant effects of message for both species. In sum, there was consistent evidence that information about surprising cognitive or emotional sophistication is more impactful than typical ID labels.
Two schemes for characterization and detection of the squeezed light: dynamical Casimir effect and nonlinear materials

Using two different schemes, a non-classical-squeezed state of light is detected and characterized. In the first scheme, in a one-dimensional cavity with a moving mirror (non-stationary Casimir effect) in the principal mode, we study the photon generation rate for two modes (squeezed and coherent state) of a driving field. Since the cavity with the moving mirror (similar to an optomechanical system) can be considered an analogue to a Kerr-like medium, in the second scheme, the probability amplitude for multi-photon absorption in a nonlinear (Kerr) medium will be quantum mechanically calculated. It is shown that because of the presence of nonlinear effects, the responses of these two systems to the squeezed versus coherent state are considerably distinguishable. The drastic difference between the results of these two states of light can be viewed as a proposal for detecting non-classical states.
Influence of Surface Modification of Titanium and Its Alloys for Medical Implants on Their Corrosion Behavior

Titanium and its alloys are often used for long-term implants after their surface treatment. Such surface modification is usually performed to improve biological properties but seldom to increase corrosion resistance. This paper presents research results performed on such metallic materials modified by a variety of techniques: direct voltage anodic oxidation in the presence of fluorides, micro-arc oxidation (MAO), pulse laser treatment, deposition of chitosan, biodegradable Eudragit 100 and poly(4-vinylpyridine (P4VP), carbon nanotubes, nanoparticles of TiO2, and chitosan with Pt (nano Pt) and polymeric dispersant. The open circuit potential, corrosion current density, and potential values were determined by potentiodynamic technique, and microstructures of the surface layers and coatings were characterized by scanning electron microscopy. The results show that despite the applied modifications, the corrosion current density still appears in the region of very low values of some nA/cm2. However, almost all surface modifications, designed principally for the improvement of biological properties, negatively influence corrosion resistance. The reasons for observed effects can vary, such as imperfections and permeability of some coatings or accelerated degradation of biodegradable deposits in simulated body fluids during electrochemical testing. Despite that, all coatings can be accepted for biological applications, and such corrosion testing results are presumed not to be of major importance for their applications in medicine.
The Impact of COVID-19 on Physical Activity Patterns of Dental Students: A Multinational Survey

Background: The authorities of the world had to take extraordinary containment measures due to the coronavirus (COVID-19) pandemic spreading across the globe. The only way to stay active during the pandemic was at-home physical activity (PA). The current study evaluates how these preventative measures impacted the PA and well-being of students. Methods: This study is multicentral and was conducted in Malaysia, India, Cambodia, and Saudi Arabia; participants were recruited from four different regions to answer the online questionnaire provided via a link shared using their personal WhatsApp, Facebook Messenger, and Twitter social media. Results: The means of vigorous, moderate, and light PA (min/day) between the active and inactive groups were significantly different (p = 0.001, 0.007, and 0.001), respectively. In comparison with pre-COVID-19, the participants reported that it became more challenging to engage in regular exercise since the onset of social distance, associated with a lack of motivation followed by “less confidence”, “less enjoyment”, “less support, and fewer opportunities to engage in exercise”; moreover, it was “difficult to maintain close relationships” and “hard to voice their options on contentious matters” (p = 0.001). Public health measures affected the PA and well-being of active and inactive students; this demonstrates that health promotion strategies aimed at enhancing levels of PA in inactive students may be necessary to improve students’ well-being.
Forecasting Undergraduate Majors: A Natural Language Approach

Committing to a major is a fateful step in an undergraduate education, yet the relationship between courses taken early in an academic career and ultimate major issuance remains little studied at scale. Using transcript data capturing the academic careers of 26,892 undergraduates enrolled at a private university between 2000 and 2020, we describe enrollment histories by using natural-language methods and vector embeddings to forecast terminal major on the basis of course sequences beginning at college entry. We find that (a) a student’s very first enrolled course predicts their major 30 times better than random guessing and more than one-third better than majority-class voting, (b) modeling strategies substantially influence forecasting metrics, and (c) course portfolios vary substantially within majors, such that students with the same major exhibit relatively modest overlap.
Online neurostimulation of Broca’s area does not interfere with syntactic predictions: A combined TMS-EEG approach to basic linguistic combination

Categorical predictions have been proposed as the key mechanism supporting the fast pace of syntactic composition in language. Accordingly, grammar-based expectations are formed—e.g., the determiner “a” triggers the prediction for a noun—and facilitate the analysis of incoming syntactic information, which is then checked against a single or few other word categories. Previous functional neuroimaging studies point towards Broca’s area in the left inferior frontal gyrus (IFG) as one fundamental cortical region involved in categorical prediction during incremental language processing. Causal evidence for this hypothesis is however still missing. In this study, we combined Electroencephalography (EEG) and Transcranial Magnetic Stimulation (TMS) to test whether Broca’s area is functionally relevant in predictive mechanisms for language. We transiently perturbed Broca’s area during the first word in a two-word construction, while simultaneously measuring the Event-Related Potential (ERP) correlates of syntactic composition. We reasoned that if Broca’s area is involved in predictive mechanisms for syntax, disruptive TMS during the first word would mitigate the difference in the ERP responses for predicted and unpredicted categories in basic two-word constructions. Contrary to this hypothesis, perturbation of Broca’s area at the predictive stage did not affect the ERP correlates of basic composition. The correlation strength between the electrical field induced by TMS and the ERP responses further confirmed this pattern. We discuss the present results considering an alternative account of the role of Broca’s area in syntactic composition, namely the bottom-up integration of words into constituents, and of compensatory mechanisms within the language predictive network.
Drivers and characteristics of the Indo-western Pacific Ocean capacitor

Coherently coupled ocean-atmosphere variability of the tropical Indo-Pacific Oceans gives rise to the predictability of Asian summer climate. Recent advances in Indo-western Pacific Ocean capacitor (IPOC) theory and the relationship with El Niño-Southern Oscillation (ENSO) are reviewed. The IPOC features tropical Indian Ocean (TIO) warming and an anomalous anticyclonic circulation over the western North Pacific (WNPAAC), the latter driving water vapor transport to East Asia and causing extreme events, e.g., heavy rainfalls from central China to Japan during the boreal summer. IPOC events often occur in post-ENSO summers, but the significant TIO warming could sustain the WNPAAC without a strong El Niño, forced instead by a strong antecedent positive Indian Ocean Dipole (IOD). In latter cases, the Indian Ocean and WNP act as a self-sustaining system, independent of external forcings. El Niño or positive IOD induces the oceanic downwelling Rossby waves and thermocline warming in the southwest TIO, leading to SST warming and a “C-shaped” wind anomaly during winter and early spring. Furthermore, the southwest TIO downwelling Rossby waves reflect as oceanic Kelvin waves on the African coast. In the early summer, the resultant southeast TIO SST warming induces a second “C-shaped” wind anomaly. Both southwest and southeast TIO warming contribute to the WNPAAC. The WNPAAC modulates the water vapor pathways to East Asia in the late spring and summer, which mostly converge over the South China Sea and adjacent regions before flowing further to the north. More water vapor is transported from the western Pacific warm pool and less from the southern hemisphere and the Indian Ocean. The enhanced Asian Summer monsoon and moisture content lead to extreme rainfalls in central China and Japan during the boreal summer.
PEPSI deep spectra. I. The Sun-as-a-star

As part of the first Potsdam Echelle Polarimetric and Spectroscopic Instrument (PEPSI) key-science project, we aim to provide well-exposed (viz. deep) high-resolution spectra of representative stellar targets. These spectra will be made available in form of (electronic) atlases. The first star in this series of papers is our Sun. It also acts as a system-performance cornerstone. The deep spectra in this paper are the results of combining up to 100 consecutive exposures per wavelength setting and are compared with other solar flux atlases. Our software for the optimal data extraction and reduction of PEPSI spectra is described and verified with the solar data. Three deep solar flux spectra with a spectral resolution of up to 270,000, a continuous wavelength coverage from 383 nm to 914 nm, and a photon signal to noise ratio (S/N) of between 2,000-8,000:1 depending on wavelength are presented. Additionally, a time-series of 996 high-cadence spectra in one cross disperser is used to search for intrinsic solar modulations. The wavelength calibration based on Th-Ar exposures and simultaneous Fabry-Perot combs enables an absolute wavelength solution within 10 m/s (rms) with respect to the HARPS laser-comb solar atlas and a relative rms of 1.2 m/s for one day. For science demonstration, we redetermined the disk-average solar Li abundance to 1.09+/-0.04 dex on the basis of 3D NLTE model atmospheres. We detected disk-averaged p-mode RV oscillations with a full amplitude of 47 cm/s at 5.5 min. Comparisons with two solar FTS atlases, as well as with the HARPS solar atlas, validate the PEPSI data product. Now, PEPSI/SDI solar-flux spectra are being taken with a sampling of one deep spectrum per day, and are supposed to continue a full magnetic cycle of the Sun.
Kinematical symmetries of 3D incompressible flows

The motion of an incompressible fluid in Lagrangian coordinates involves infinitely many symmetries generated by the left Lie algebra of group of volume preserving diffeomorphisms of the three dimensional domain occupied by the fluid. Utilizing a 1 + 3-dimensional Hamiltonian setting an explicit realization of this symmetry algebra is constructed recursively. A dynamical connection is used to split the symmetries into reparametrization of trajectories and one-parameter family of volume preserving diffeomorphisms of fluid domain. Algebraic structures of symmetries and Hamiltonian structures of their generators are inherited from the same construction. A comparison with the properties of 2D flows is included.