Miracle-dz/UniFAR-FTUs huggingface dataset:
Galaxy Structure, Stellar Populations, and Star Formation Quenching at 0.6 ≲ z ≲ 1.2

We use both photometric and spectroscopic data from the Hubble Space Telescope to explore the relationships among 4000 Å break (D4000) strength, colors, stellar masses, and morphology, in a sample of 352 galaxies with log(M*/M⊙) > 9.44 at 0.6 ≲ z ≲ 1.2. We have identified authentically quiescent galaxies in the UVJ diagram based on their D4000 strengths. This spectroscopic identification is in good agreement with their photometrically derived specific star formation rates (sSFRs). Morphologically, most (that is, 66 out of 68 galaxies, ∼97%) of these newly identified quiescent galaxies have a prominent bulge component. However, not all of the bulge-dominated galaxies are quenched. We found that bulge-dominated galaxies show positive correlations among the D4000 strength, stellar mass, and Sérsic index, while late-type disks do not show such strong positive correlations. Also, bulge-dominated galaxies are clearly separated into two main groups in the parameter space of sSFR versus stellar mass and stellar surface density within the effective radius, Σe, while late-type disks and irregulars only show high sSFR. This split is directly linked to the “blue cloud” and the “red sequence” populations and correlates with the associated central compactness indicated by Σe. While star-forming massive late-type disks and irregulars (with D4000 < 1.5 and log(M*/M⊙) ≳ 10.5) span a stellar mass range comparable to bulge-dominated galaxies, most have systematically lower Σe ≲ 109 M⊙ kpc−2. This suggests that the presence of a bulge is a necessary but not sufficient requirement for quenching at intermediate redshifts.
Boosted Activity of g-C3N4/UiO-66-NH2 Heterostructures for the Photocatalytic Degradation of Contaminants in Water

The combination of graphitic carbon nitride and the metal-organic framework UiO-66-NH2 has been developed with the aim to enhance the photocatalytic activity of pure semiconductors. Different proportions of g-C3N4 and UiO-66-NH2 were combined. Complete characterization analysis of the resulting photocatalytic materials was conducted, including N2 adsorption isotherms, XRD, FTIR, STEM-EDX microscopy, DRS-UV-visible, and photoluminescence. The photocatalytic activity was tested in an aqueous solution for the removal of acetaminophen as the target pollutant. From the obtained results, less than 50% of UiO-66-NH2 incorporated in the g-C3N4 structure enhanced the photocatalytic degradation rate of both bare semiconductors. Concretely, 75% of g-C3N4 in the final g-C3N4/UiO-66-NH2 heterostructure led to the best results, i.e., complete acetaminophen elimination initially at 5 mg·L−1 in 2 h with a pseudo-first order rate constant of ca. 2 h−1. The presence of UiO-66-NH2 in the g-C3N4 enhanced the optoelectronic properties, concretely, the separation of the photo-generated charges was improved according to photoluminescence characterization. The better photo-absorption uptake was also confirmed by the determination of the quantum efficiency values of the heterostructure if compared to either pure g-C3N4 or UiO-66-NH2. This photocatalyst with the best activity was further tested at different pH values, with the best degradation rate at a pH close to the pHpzc ~4.15 of the solid. Sequential recycling tests demonstrated that the heterostructure was stable after five cycles of use, i.e., 15 h. A high contribution of photo-generated holes in the process of the degradation of acetaminophen, followed marginally by superoxide radicals, was suggested by scavenger tests.
Long-Term Wastewater Surveillance for SARS-CoV-2: One-Year Study in Brazil

Wastewater-based epidemiology (WBE) is a tool involving the analysis of wastewater for chemicals and pathogens at the community level. WBE has been shown to be an effective surveillance system for SARS-CoV-2, providing an early-warning-detection system for disease prevalence in the community via the detection of genetic materials in the wastewater. In numerous nation-states, studies have indicated the presence of SARS-CoV-2 in wastewater. Herein, we report the primary time-course monitoring of SARS-CoV-2 RNA in wastewater samples in São José do Rio Preto-SP/Brazil in order to explain the dynamics of the presence of SARS-CoV-2 RNA during one year of the SARS-CoV-2 pandemic and analyze possible relationships with other environmental parameters. We performed RNA quantification of SARS-CoV-2 by RT-qPCR using N1 and N2 targets. The proportion of positive samples for every target resulted in 100% and 96.6% for N1 and N2, respectively. A mean lag of -5 days is observed between the wastewater signal and the new SARS-CoV-2-positive cases reported. A correlation was found between the air and wastewater temperatures and therefore between the SARS-CoV-2 viral titers for N1 and N2 targets. We also observed a correlation between SARS-CoV-2 viral titers and media wastewater flow for the N1 target. In addition, we observed higher viral genome copies within the wastewater samples collected on non-rainy days for the N1 target. Thus, we propose that, based on our results, monitoring raw wastewater may be a broadly applicable strategy that might contribute to resolving the pressing problem of insufficient diagnostic testing; it may represent an inexpensive and early-warning method for future COVID-19 outbreaks, mainly in lower- and middle-income countries.
Leveraging Accelerometry as a Prognostic Indicator for Increase in Opioid Withdrawal Symptoms

Treating opioid use disorder (OUD) is a significant healthcare challenge in the United States. Remaining abstinent from opioids is challenging for individuals with OUD due to withdrawal symptoms that include restlessness. However, to our knowledge, studies of acute withdrawal have not quantified restlessness using involuntary movements. We hypothesized that wearable accelerometry placed mid-sternum could be used to detect withdrawal-related restlessness in patients with OUD. To study this, 23 patients with OUD undergoing active withdrawal participated in a protocol involving wearable accelerometry, opioid cues to elicit craving, and non-invasive Vagal Nerve Stimulation (nVNS) to dampen withdrawal symptoms. Using accelerometry signals, we analyzed how movements correlated with changes in acute withdrawal severity, measured by the Clinical Opioid Withdrawal Scale (COWS). Our results revealed that patients demonstrating sinusoidal–i.e., predominantly single-frequency oscillation patterns in their motion almost exclusively demonstrated an increase in the COWS, and a strong relationship between the maximum power spectral density and increased withdrawal over time, measured by the COWS (R = 0.92, p = 0.029). Accelerometry may be used in an ambulatory setting to indicate the increased intensity of a patient’s withdrawal symptoms, providing an objective, readily-measurable marker that may be captured ubiquitously.
Tidal dissipation in rotating fluid bodies: the presence of a magnetic field

We investigate effects of the presence of a magnetic field on tidal dissipation in rotating fluid bodies. We consider a simplified model consisting of a rigid core and a fluid envelope, permeated by a background magnetic field (either a dipolar field or a uniform axial field). The wavelike tidal responses in the fluid layer are in the form of magnetic-Coriolis waves, which are restored by both the Coriolis force and the Lorentz force. Energy dissipation occurs through viscous damping and Ohmic damping of these waves. Our numerical results show that the tidal dissipation can be dominated by Ohmic damping even with a weak magnetic field. The presence of a magnetic field smooths out the complicated frequency-dependence of the dissipation rate, and broadens the frequency spectrum of the dissipation rate, depending on the strength of the background magnetic field. However, the frequency-averaged dissipation is independent of the strength and structure of the magnetic field, and of the dissipative parameters, in the approximation that the wave-like response is driven only by the Coriolis force acting on the non-wavelike tidal flow. Indeed, the frequency-averaged dissipation quantity is in good agreement with previous analytical results in the absence of magnetic fields. Our results suggest that the frequency-averaged tidal dissipation of the wavelike perturbations is insensitive to detailed damping mechanisms and dissipative properties.
Impact of COVID-19 on the Production of Farmers in Raipur District of Chhattisgarh

Background: The backbone of the Indian financial system, and the main source of income in rural India, is agriculture. The COVID-19 illness significantly impacted the agricultural supply chain, from the industrial hub to the final consumer. This article begins by analyzing the many strategies that have a bearing on farmer’s production. the overall impact while throwing a bit of challenge across in all the sectors but in terms of production it was seen as positive. Methods: The agricultural years 2019–20 & 2020–21 serve as the study's reference period. By selecting sample villages, the study's data were gathered from 300 households and 50 migrant and non-migrant workers in the Chhattisgarh district of Raipur. Result: We found that the maize crop had the highest yield loss mostly -5.13 per cent which is due to untimely harvest and unavailability of labours. Also, lak/teora crop yield decreased by -2.83 per cent. Also, we can see from the table that the yield of paddy, vegetables (Bitter guard, brinjal ladies finger and bottle guard), and Arhar had increased by 16.18, 60.76, 61.39, 39.87, 59.74 and 14.28 per cent respectively from previous years yield. The real impact in the case of crop production was seen in the prices of farm produce. The return of migrant workers also increased production; it was found from the study that agriculture was the only source of income for every household during the lockdown. Farmers experienced a shortage of agricultural inputs like seeds, fertilizers, and pesticides as a result of world trade disruption.
Navigating learning through catastrophic calamities: A phenomenological study

This study examined the lived experiences of technology and livelihood learners while navigating in the learning process despite the calamities like COVID-19 pandemic and typhoon Odette. Data were gathered from in-depth interview with participants, focus group discussions, and key informant interview through the interview guide. Transcripts were analyzed using Colaizzi’s method, wherein meanings are formulated through sorted codes, categories, and themes. Findings revealed three emerging themes on participants’ difficult and challenging experiences which include, uphill battles in learning, learning opportunities, and rise to the challenges. Meanwhile, two themes were found for the underlying effects of these experiences including, role acceptance and psychosocial discomfort. Furthermore, three themes were identified for learners’ responses to the challenges in learning process, including actions towards learning, coping amidst adversities, and pillars of strength. These experiences provided concepts to educators to improve teaching and becoming flexible in designing lessons and learning tasks guided with the learning continuity model mainly designed to teach in the midst of crises. Hence, the Department of Education may spearhead community assessment while in curriculum development to suffice the needs of the learning community and may guide division and school offices in the implementation of their localized and contextualized learning continuity plans.
The Effect of Transformational Leadership and Organizational Culture on Employee Performance of PT. Permodalan Nasional Madani Persero Regional Bandar Lampung

Aims: A good company in managing human resources cannot escape the role of a leader in influencing and directing all actions to be in line with expectations. And organizational culture can provide an understanding of what the company expects from employees and how employees interact with other employees. Creating organizational culture in the work environment is something that can improve performance. This study aimed to determine the effect of transformational leadership on employee performance and the influence of organizational culture at PT. Permodalan Nasional Madani Persero Regional Bandar Lampung. Study Design and Methodology: The sample of this study was 353 employees of PT. Permodalan Nasional Madani Persero Regional Bandar Lampung. Data were obtained through questionnaires and processed using the SEM AMOS analysis tool. Results: The results of this study show that transformational leadership has a positive and significant effect on employee performance. Organizational culture has a positive and significant effect on employee performance. Implications: This study suggests that PT. Permodalan Nasional Madani Persero Regional Bandar Lampung needs to increase awareness to all employees to further improve the organizational culture within the company by implementing a knowledge sharing program regularly every week, so that the transfer of knowledge and transfer of skills occurs, strengthen leadership attitudes that are able to influence and direct employees so that employees have motivation and confidence in superiors so that they can encourage maximum performance.
Insulin-like Peptide Receptor (ILPR) in the Cuttlefish Sepiella japonica: Characterization, Expression, and Regulation of Reproduction

Insulin-like peptide receptor (ILPR) can effectively regulate ovarian development in invertebrates, but its effect in cuttlefish has not been reported. We isolated and characterized a ILPR gene from Sepiella japonica, referred to as SjILPR. This gene displayed significant homologies to Octopus bimaculoides ILPR, and contained all typical features of insulin receptors and tyrosine kinase domain structure. SjILPR is expressed in all detected tissues, with the highest expression in the ovary. During ovarian development stages, its expression levels in the ovary, pancreas, and liver were correlated to the female reproductive cycle. After the silencing of SjILPR in vivo, comparative transcriptome analysis identified 4314 differentially expressed genes (DEGs) in the injected group, including 2586 down-regulated genes and 1728 up-regulated genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that 832 DEGs were assigned to 222 pathways, many pathways of which were related to gonadal development. Four down-regulated genes relevant to ovarian development (Vitellogenin 1, Vitellogenin 2, Cathepsin L1-like, and Follistatin) were selected to confirm the accuracy of RNA-seq data by qRT-PCR. These results showed that SjILPR might regulate ovarian development to control reproduction by affecting the expression of the relevant genes in female S. japonica.
Inhibition Mechanism of EMIM-Cl to Methane Gas Hydrate by Molecular Dynamics Simulation

Deep-water gas well testing is a key technology for obtaining reservoir production and physical property parameters. However, gas hydrates could easily form and cause blockage in the low-temperature and high-pressure environment on the seafloor. Therefore, it is extremely important to inhibit hydrate growth in deep-water operations. Ionic liquid is a type of hydrate inhibitor with both thermodynamic and kinetic effects. However, its intrinsic inhibiting mechanism is still unclear. By using molecular dynamics simulation, the growth process of methane hydrate in the 1-ethyl-3-methylimidazole chloride (EMIM-Cl)-containing system at the pressure of 15 MPa and temperature of 273.15 K was studied. The system energy and angular order parameters (AOP) were extracted as the evaluation indicators. It was found that the time for the complete growth of methane hydrate in the EMIM-Cl-containing system was about 10 ns, longer than that in the pure water, indicating that EMIM-Cl showed an obvious inhibition effect to hydrate growth. The results also implied that the joint action of hydrogen bond and steric hindrance might be the inhibition mechanism of EMIM-Cl. Some six-membered rings in hydrate crystal large cage structures evolved from five-membered rings under the effect of EMIM, which partly contributed to the delay of hydrate formation.
Cluster categories for marked surfaces: punctured case

We study cluster categories arising from marked surfaces (with punctures and non-empty boundaries). By constructing skewed-gentle algebras, we show that there is a bijection between tagged curves and string objects. Applications include interpreting dimensions of $\operatorname{Ext}^{1}$ as intersection numbers of tagged curves and Auslander–Reiten translation as tagged rotation. An important consequence is that the cluster(-tilting) exchange graphs of such cluster categories are connected.
Phase correction for ALMA. Investigating water vapour radiometer scaling: The long-baseline science verification data case study

The Atacama Large millimetre/submillimetre Array (ALMA) makes use of water vapour radiometers (WVR), which monitor the atmospheric water vapour line at 183 GHz along the line of sight above each antenna to correct for phase delays introduced by the wet component of the troposphere. The application of WVR derived phase corrections improve the image quality and facilitate successful observations in weather conditions that were classically marginal or poor. We present work to indicate that a scaling factor applied to the WVR solutions can act to further improve the phase stability and image quality of ALMA data. We find reduced phase noise statistics for 62 out of 75 datasets from the long-baseline science verification campaign after a WVR scaling factor is applied. The improvement of phase noise translates to an expected coherence improvement in 39 datasets. When imaging the bandpass source, we find 33 of the 39 datasets show an improvement in the signal-to-noise ratio (S/N) between a few to ~30 percent. There are 23 datasets where the S/N of the science image is improved: 6 by 450 GHz) and long-baseline (>5km) observations. These inherently have poorer phase stability and are taken in low PWV (<1mm) conditions for which we find the scaling to be most effective. A promising explanation for the scaling factor is the mixing of dry and wet air components, although other origins are discussed. We have produced a python code to allow ALMA users to undertake WVR scaling tests and make improvements to their data.
Proprioceptive Cervicogenic Dizziness: A Narrative Review of Pathogenesis, Diagnosis, and Treatment

Basic science and clinical evidence suggest that cervical spine disorders can lead to dizziness. The cervical spine has highly developed proprioceptive receptors, whose input information is integrated with the visual and vestibular systems in the central nervous system, acting on the neck and eye muscles to maintain the coordinative motion of the head, eyes, neck, and body through various reflex activities. When the cervical proprioceptive input changes due to the mismatch or conflict between vestibular, visual, and proprioceptive inputs, cervicogenic dizziness may occur. The diagnosis of cervicogenic dizziness can be determined based on clinical features, diagnostic tests, and the exclusion of other possible sources of dizziness. The cervical torsion test appears to be the best diagnostic method for cervicogenic dizziness. Based on the available evidence, we first developed the diagnostic criteria for cervicogenic dizziness. Treatment for cervicogenic dizziness is similar to that for neck pain, and manual therapy is most widely recommended.
Density profile slope in Dwarfs and environment

In the present paper, we study how the dark matter density profiles of dwarfs galaxies in the mass range $10^8-10^{10} M_{\odot}$ are modified by the interaction of the dwarf in study with the neighboring structures, and by changing baryon fraction in dwarfs. As already shown in Del Popolo (2009), the slope of density profile of inner halos flattens with decreasing halo mass and the profile is well approximated by a Burkert's profile. The analysis shows that dwarfs who suffered a smaller tidal torquing (consequently having smaller angular momentum) are characterized by steeper profiles with respect to dwarfs subject to higher torque, and similarly dwarfs having a smaller baryons fraction have also steeper profiles than those having a larger baryon fraction. In the case tidal torquing is shut down and baryons are not present, the density profile is very well approximated by an Einasto profile, similarly to dwarfs obtained in dissipationless N-body simulations. We then apply the result of the previous analysis to the dark matter halo rotation curves of three different dwarfs, namely NGC 2976, known to have a flat inner core, NGC 5949 having a profile intermediate between a cored and a cuspy one, and NGC 5963 having a cuspy profile. After calculating baryon fraction, which is $\simeq 0.1$ for the three galaxies, we fitted the rotation curves changing the value of angular momentum. NGC 2976, has an higher value of ordered angular momentum ($\lambda \simeq 0.04$) with respect to NGC 5949 ($\lambda \simeq 0.025$) and in the case of NGC 5963 the very steep profile can be obtained with a low value of $\lambda$ ($\lambda \simeq 0.02$) and also decreasing the value of the random angular momentum. In the case of NGC 2976 tidal interaction with M81 could have also influenced the inner part of the density profile.
Communicating evacuation information to multi-storey apartment dwellers: a case study of the 2016 Kaikōura earthquake in Te Whanganui-a-Tara (Wellington), Aotearoa New Zealand

ABSTRACT On 14 November 2016, the Mw 7.8 Kaikōura earthquake and tsunami occurred in Aotearoa New Zealand, impacting the city of Te Whanganui-a-Tara (Wellington). As many people reside in apartments in Wellington, we undertook a survey followed by interviews to understand evacuation information communicated to apartment dwellers, and how residents used that information for decision-making. Immediately following earthquake shaking, some apartment dwellers stayed in their building as per official advice, while others evacuated because they felt safer outside. A small proportion evacuated because of the tsunami threat, and many of these participants did so because of the ‘Long or Strong, Get Gone’ evacuation advice. Others were unclear whether their apartment building was in a tsunami evacuation zone. Some returned immediately after the initial evacuation, while others with damaged apartments evacuated for weeks to months. Participants used regular information upates particularly via social media channels, to inform decisions about returning after longer-term evacuation. However, communicating with the Body Corporate or landlord was difficult, and apartment dwellers reported having trouble getting information about the damage status of their building, making decisions about returning challenging. Given the unique context of apartment dwellers, communication strategies should be honed to assist responses to a future event.