Miracle-dz/UniFAR-FTUs huggingface dataset:
Views and experiences of adult children concerning intergenerational relationships with their older kin: a qualitative study from South India

Abstract The tradition of intergenerational care and support exchanges in Indian families is assumed to be disturbed because of changes in family structure brought on by modern life, which is mainly based on studies investigating experiences of older adults regarding the impact of socio-economic change on their care arrangement. However, there is a large gap in understanding the experiences of adult children from a larger relational perspective, more than just care provision to their older relatives. Drawing on 26 in-depth interviews with adult children living in modern and traditional living arrangements from South India, the study explores their experiences with their parents with regard to reciprocity of care and support, the challenges they experience and strategies they adopt to overcome those challenges. The analysis shows adult children perceive the increased demands of modern work life and their older kin's preferences to be heard, lack of flexibility and related extra domestic work and costs, do cause a bigger burden for them in both living arrangements. However, adult children strive to uphold the traditional values of caring for their older kin and sharing emotional bonding with them. This inspiration helps them to employ strategies to accept their older relatives as they are, focus their attention on the benefits they receive from them and distribute care tasks with other relatives to overcome the challenges.
Effect of Increasing Supplementation Levels of Coffee Pulp on Milk Yield and Food Intake in Dual-Purpose Cows: An Alternative Feed Byproduct for Smallholder Dairy Systems of Tropical Climate Regions

Coffee is one of the main traded commodities worldwide, unfortunately, it generates massive amounts of by-products like coffee pulp (CoP), which could be utilized as an alternative feedstuff for cattle contributing to mitigate coffee production environmental damage. The objective of this work was to evaluate the effect of increasing levels of CoP supplementation on milk production, milk composition, and grass dry matter intake (GDMI) by dual-purpose tropical cows. A 4 × 4 Latin square experimental design was conducted, where four multiparous dual-purpose Holstein x Cebu cows with an average live weight of 477 ± 7 kg and milk yield of 12.1 ± 2.7 kg/d were used. The cows grazed 10 h/d on a Cynodon plectostachius sward with a stocking rate of three cows/ha. All cows received 6 kg/d DM of an experimental concentrate (EC), and the treatments consisted of four supplementation levels of CoP: T1 = 0, T2 = 0.6, T3 = 0.9, and T4 = 1.2 kg DM/d, which was provided on top of the concentrate and mixed with the EC. Grass intake was determined by the n-alkanes technique. A significant difference was observed for the average total daily DM intake (p < 0.02). No significant differences (p > 0.05) were observed for milk yield, milk composition, body weight, and GDMI for all the inclusion levels of CoP. It was concluded that CoP can be included at levels of 0.6 to 0.9 kg DM/d in the diets of cows without compromising milk yield or GDMI.
Enhanced Resistance to Amylolysis in Rice Kernels through Interaction with Chlorogenic Acid

In this study, rice-phenolic acid complexes were prepared by processing rice kernels in chlorogenic acid (CGA) solutions of different concentrations, followed by heating at different adsorption times. An adsorption treatment of 80 °C for 3 h effectively enhanced the complexation of rice samples with CGA (3.86 mg/g) and imparted antioxidant capacities to the complex. An apparent interaction between CGA and rice starch molecules was suggested by electrospray ionization mass spectrometry analysis. Our results revealed that rice samples were functionalized with CGA by modifying their physicochemical properties by increasing swelling ability (9.1%) and breakdown value (24.7%), and retarding retrogradation (−9.8%). The complexation of rice with a high dose of CGA could significantly reduce in vitro and in vivo starch digestibility by 41.9% and 23.0%, respectively, relative to control. This treatment is considered a potential way to confer rice with an increased resistance to digestion, along with desirable pasting properties.
International Doctoral Student Research Self-Efficacy Scandal: A Case Study of Chinese University

The internationalization of Chinese higher education glimmers the hope for globalization and opened the doors for countries to exchange academics treasures and cultural exchange. The euphonious and mellifluous agenda behind the internationalization led the nations towards the silver lining of collaboration, interaction, and human resources exchange. However, a large volume of literature claimed the poor academic performance of international students and weak academic communication between international students and Chinese faculty members. So the study sought to explore the phenomena through doctoral. Student experience regarding their research self-efficacy development in a Chinese university. Thus, we took one Chinese university as a case due to its high accessibility of international students with broad and deep experience of being an international student in China. Our participants were international doctoral students from Asian and African countries with significant financial desperation. The findings shed light on the intention of international to pursue a doctoral degree in Chinese higher education and how it significantly delayed their research self-efficacy development.
Porous Solid Superacid SO42–/Fe2–xZrxO3 Fenton Catalyst for Highly Effective Oxidation of X-3B under Visible Light

Porous solid superacid SO42–/Fe2–xZrxO3 bimetallic oxide was first synthesized by citric acid templated method and impregnated in vitriol solution. The prepared catalyst possessing mesopores and macropores exhibited high activity for degradation of azo dye in photo-Fenton reaction under visible-light irradiation. By characterization of the catalysts, it revealed that both Bronsted and Lewis acid sites immobilized on solid surface were attributed to the synergetic effect of Zr and SO42-. The kinetic courses of dye adsorption and catalytic peroxide oxidation were discussed. A combined first-order kinetics model well fitted for photo-Fenton degradation indicated that both the unique surface acid property of solid and visible-light induced electron transfer enhanced catalytic performance. The strong acid sites were the key factor in widening the working pH range to 10.0 and determining the activity of catalysts, which were proved by a high removal rate up to 98% of X-3B even in dark Fenton process.
Water and Light‐Use Efficiency Are Enhanced Under Summer Coastal Fog in a California Agricultural System

In coastal California, the peak growing season of economically important crops is concurrent with fog events, which buffer drought stress during the dry season. Coastal fog patterns are changing, so we quantified its effects on the energy, water, and carbon fluxes of a strawberry farm located in the fog‐belt of the Salinas Valley, California. We used Geostationary Operational Environmental Satellite (GOES) total albedo to detect and quantify large scale patterns of coastal fog. We used eddy covariance (EC) to quantify actual evapotranspiration and gross primary productivity (GPP) at the field scale (approximately 0.5–3 hectares) from June to September 2016. We measured canopy‐scale (approximately 0.6 m2) strawberry physiology on foggy and non‐foggy days within the measurement footprint of the EC tower. Downwelling longwave radiation (L↓), observed by a surface‐mounted pyrgeometer, was consistently higher on foggy compared to clear‐sky days (regardless of fog‐drip), indicating that emission of longwave radiation was derived almost entirely from the cloud base. L↓ and total GOES albedo were positively and strongly correlated (R2 = 0.68, P < 0.01). For both field‐ and canopy‐scales, water‐use and light‐use efficiency increased by as much as 50% and 70%, respectively, during foggy compared to non‐foggy conditions. The initial slope of the curvilinear relationship fit between GPP and photosynthetically active radiation was twice as steep during foggy (α = 0.0395) than non‐foggy (α = 0.0210) conditions, suggesting that the scattering of light during fog events enhances photosynthetic output of whole‐plants. Our results suggest that irrigation for these fields could be rescheduled during foggy periods without sacrificing plant productivity.
The Role of Open Innovation, and the Performance of European Union Regions

This research aims to detect the factors that best explain the performance of regional innovation in the European Union (EU), in the year 2019, and compare the obtained results with the factors used to elucidate the performance of regional innovation in the EU during the year 2016. This comparison allowed us to identify the variations that have occurred during these 3 years. The methodology used is quantitative and served to identify the factors that clarify the performance of regional innovation in the EU in 2019. The data collected was treated in the econometric software Eviews10. Estimations used a multiple linear regression method. The attained results show that with the implementation of the Research and Innovation Strategy for Smart Specialization (RIS3), the Leader and Strong Regions benefited from its implementation. On the other hand, Moderate and Modest Regions failed to improve their innovative performance with the implementation of RIS3. On the practical contributions, it provides suggestions to the actors of the triple helix (Academy–Government–Industry) to improve the performance of innovation. Furthermore, it contributes to the theory by updating the knowledge of the existing literature with new dimensions from the 2019 RIS database. This research is original as it allows to appraise the evolution of the open innovative performance of the regions, by using comparative data from 2019 and 2016.
Three-body effects on the phase behaviour of noble gases from molecular simulation

In this work the phase behaviour of noble gases is studied comprehensively by different molecular simulation methods using different intermolecular potentials. The aim is to investigate three-body effects on the phase behaviour of noble gases. A true two-body potential model (Barker-Fisher-Watts potential) and the three-body potential model (Axilrod-Teller term) have been used. The results obtained from the two-body BFW potential with the three-body AxilrodTeller potential included for the vapour-liquid and solid-liquid phase equilibrium properties of pure noble gases are compared with the calculations using the LennardJones potential with different suggested parameter values. The results have been compared with experimental data and the best parameter values for simulating the thermodynamic properties of noble gases are found. Three-body effects on the phase behaviour of noble gases are reported for a large range of density, temperature and pressure. Simple relationships have been found between two-body and three-body potential energies for pure fluids and solids. Three-body effects on the vapour-liquid phase equilibrium properties of argon, krypton, xenon and argon-krypton systems are studied by the Gibbs-Duhem integration Monte Carlo method. Three-body effects on the solid-liquid phase equilibrium properties of argon, krypton and xenon are investigated by non-equilibrium and equilibrium molecular dynamics techniques. All the calculations have been compared with experimental data, which show that three-body interactions play an important role in the overall interatomic interactions of noble gases.
Balancing Agency with Structure: Institutional Entrepreneurship as an Embedded Discovery Process

While mainstream research has treated entrepreneurship as a highly individualised and agentic process, institutional researchers contend that entrepreneurship operates within a greater embedded setting. Various researchers have appealed to Giddens’ dual structure to explain an entrepreneur’s embedded-agency. According to Giddens’ dual structure, this embedded-agency consists of the rules or norms of a social group in which these rules constrain and enable an entrepreneur’s resources. Yet, despite Giddens’ contributions, Giddens is criticised for conflating the rules of this embedded setting with an entrepreneur’s resources in which neither affects the other in any significant way. By drawing on concepts of the Austrian entrepreneur and embeddedness, a theory of institutional entrepreneurship is developed to address this conflation problem. This institutional entrepreneurship offers an embedded-agency to explain how an entrepreneur can create, maintain and disrupt their embedded social settings. This embedded-agency addresses Giddens’ conflation problem and broadens the agent-centric focus of institutional entrepreneurship research.
Elucidating Post-COVID-19 manifestations in India

Background: In India, a large number of patients with coronavirus disease-2019 (COVID-19), presented with common symptoms including fever, dyspnea, cough, musculoskeletal symptoms (fatigue, myalgia, joint pain) and gastrointestinal symptoms. However, information is lacking on symptoms that persist after recovery from COVID-19. In this study we assessed symptoms that persisted in patients even after their recovery and discharged from the hospital after one month from COVID-19. Methods: This study is an observational cohort study. Participants in this study were enrolled between 30 to 40 days after recovery from COVID-19 of the age 18 years or higher, who were hospitalized with laboratory-confirmed RT-PCR COVID-19 disease. Outcomes from post COVID-19 participants were elicited through questionnaire that consisted of three main parts beginning from subjects demographical data, depicting about the status of COVID-19 and other co-morbidities of the subject, and about post-COVID-19 symptoms and manifestations. Results: All subjects have reported some manifestation after recovery from COVID-19 whereas numerous symptoms and diseases were experienced by a great percentage of participants. Fatigue (56.25%), dyspnea (74.3%) and disturbed sleep (64.3%) were among the most common symptoms. However, more critical manifestations like renal failure and pulmonary fibrosis were reported by only a few percent of the subjects. Rating of worse physical and mental health after post-COVID recovery was also reported by subjects. There was a strong relationship found in between the presence of other co-morbidities before infection like diabetes, hypertension and in disease severity after infection. A total of 280 patients were enrolled and 160 completed the survey. Conclusions: Post COVID-19 sufferers often experience symptoms that cause a disturbance in their physical health, mental health and their respiratory status for several weeks even after recovery from COVID-19. Therefore, all subjects after recovering from COVID-19 should undergo long-term monitoring programme for their symptoms and condition improvement.
In vitro and in vivo evaluation of cytotoxic effect of targeted agents alone or in combination with chemotherapy for the treatment of adenoid cystic carcinoma

Purpose Adenoid cystic carcinoma (ACC) is a rare malignancy characterized by high incidence of relapse. When relapsing, ACC has an indolent but relentless behaviour, thus leading to a poor long-term prognosis. The treatment of choice of relapsing ACC remains surgery followed by radiotherapy, whenever feasible. Therapeutic weapons are limited to systemic drugs. The most widely used chemotherapy regimen is the combination of cisplatin and doxorubicin, however with low response rate and not long lasting; there is also a lack of alternatives for second line therapies in case of disease progression. Therefore, a more comprehensive strategy aimed at identifying at preclinical level the most promising drugs or combination is clearly needed. Methods In this study, the cytotoxic effects of two standard chemotherapy drugs, cisplatin and doxorubicin, and of five targeted therapy-drugs was tested in vitro, on an h-TERT immortalized ACC cell line. The same drugs were also tested in vivo, on zebrafish embryos with ACC tumoral cell xenograft. Then, combinations of one standard chemotherapy drug plus one targeted therapy drug were also evaluated, in order to find the best treatment strategy for ACC. Results Data obtained demonstrated that both vorinostat and olaparib significantly increased the standard chemotherapy cytotoxic effects, suggesting new interesting therapeutic options for ACC. Conclusion Data obtained in the present study provide valid new therapeutic strategies for ACC to be translated in a prospective clinical trial.
Antecedents and Consequences of Work Stress Behavior

The purpose of this paper is to obtain a work stress model from scientific literature published from 2017 to 2020, where in one of the years, 2020, there was a covid-19 pandemic which had an impact on work stress. This study uses a literature review on work stress including antecedents, consequences, work stress management and the type of work/profession studied in research on work stress from 2017 to 2020. Based on the results of literature studies, the antecedents that most often appear in research on work stress are role conflict, workload, and leadership, while the consequences that often arise are burnout, job satisfaction/dissatisfaction, and intentions turnover. Work stress management involves individual and organizational levels. While the profession that has been mostly researched on the topic of work stress are paramedics and employees of the banking industry.
Construction of a novel risk model based on the random forest algorithm to distinguish pancreatic cancers with different prognoses and immune microenvironment features

ABSTRACT Immune-related long noncoding RNAs (irlncRNAs) are actively involved in regulating the immune status. This study aimed to establish a risk model of irlncRNAs and further investigate the roles of irlncRNAs in predicting prognosis and the immune landscape in pancreatic cancer. The transcriptome profiles and clinical information of 176 pancreatic cancer patients were retrieved from The Cancer Genome Atlas (TCGA). Immune-related genes (irgenes) downloaded from ImmPort were used to screen 1903 immune-related lncRNAs (irlncRNAs) using Pearson’s correlation analysis (R > 0.5; p < 0.001). Random survival forest (RSF) and survival tree analysis showed that 9 irlncRNAs were highly correlated with overall survival (OS) according to the variable importance (VIMP) and minimal depth. Next, Cox regression analysis was used to establish a risk model with 3 irlncRNAs (LINC00462, LINC01887, RP11-706C16.8) that was evaluated by Kaplan-Meier analysis, the areas under the curve (AUCs) of the receiver operating characteristics and the C-index. Additionally, we performed Cox regression analysis to establish the clinical prognostic model, which showed that the risk score was an independent prognostic factor (p < 0.001). A nomogram and calibration plots were drawn to visualize the clinical features. The Wilcoxon signed-rank test and Pearson’s correlation analysis further explored the irlncRNA signatures and immune cell infiltration, as well as the immunotherapy response. Graphical abstract
Listening to the
 opinista
 ? Relational understandings of voice and silence in a multiperspective narrative study of child psychotherapy

The concept of ‘child voice’ is examined through a longitudinal narrative case-based analysis of interviews and drawings with an eight-year-old Chilean girl, who was in psychotherapy following sexual abuse, alongside interviews with her mother and therapists. Prompted by the child’s description of herself through the neologism of the ‘opinista’ – one who has opinions – the analysis encompasses diverse narratives of a critical moment in therapy, illuminating the complexity and entangled relationality of ‘child voice’. Moving beyond an individualised conception of ‘voice’ makes it possible to account for relationality without privileging adult articulations of children’s experiences – allowing the opinista to be heard.
Closing the water cycle from observations across scales: Where do we stand?

Life on Earth vitally depends on the availability of water. Human pressure on freshwater resources is increasing, as is human exposure to weather-related extremes (droughts, storms, floods) caused by climate change. Understanding these changes is pivotal for developing mitigation and adaptation strategies. The Global Climate Observing System (GCOS) defines a suite of Essential Climate Variables (ECVs), many related to the water cycle, required to systematically monitor the Earth's climate system. Since long-term observations of these ECVs are derived from different observation techniques, platforms, instruments, and retrieval algorithms, they often lack the accuracy, completeness, resolution, to consistently to characterize water cycle variability at multiple spatial and temporal scales.Here, we review the capability of ground-based and remotely sensed observations of water cycle ECVs to consistently observe the hydrological cycle. We evaluate the relevant land, atmosphere, and ocean water storages and the fluxes between them, including anthropogenic water use. Particularly, we assess how well they close on multiple temporal and spatial scales. On this basis, we discuss gaps in observation systems and formulate guidelines for future water cycle observation strategies. We conclude that, while long-term water-cycle monitoring has greatly advanced in the past, many observational gaps still need to be overcome to close the water budget and enable a comprehensive and consistent assessment across scales. Trends in water cycle components can only be observed with great uncertainty, mainly due to insufficient length and homogeneity. An advanced closure of the water cycle requires improved model-data synthesis capabilities, particularly at regional to local scales.
Viability of the vaquita, Phocoena sinus (Cetacea: Phocoenidae) population, threatened by poaching of Totoaba macdonaldi (Perciformes: Sciaenidae)

Introduction: Despite extensive science-based conservation policy recommendations, with fewer than 20 individuals remaining, the vaquita (Phocoena sinus) -endemic to the Gulf of California- is the world’s most endangered marine mammal due to incidental catch in fishing nets and whether it can recover is unclear. Objective: Assess expectations for vaquita over the next two decades. Methods: We identified factors affecting the vaquita, constructed life tables, derived demographic parameters for different scenarios and conducted a population viability analysis using stochastic age-structured matrix Leslie models. Results: Analytical results indicate that the vaquita net growth rate is particularly sensitive to juvenile survival. We find that intensive, ongoing bycatch in gillnets used to poach totoaba (Totoaba macdonaldi) over the past decade brought the vaquita population to its current critically low size. Currently this seems to be exacerbated by demographic stochasticity and a potential Allee effect. Conclusions: If totoaba poaching is eliminated immediately, demographically, vaquita can recover; its long-term survival will depend on its uncertain genetic status, although a recent study found encouraging results in this regard.