Miracle-dz/UniFAR-FTUs huggingface dataset:
Perfectionism and Academic Burnout: The Mediating Role of Worry and Depressive Rumination in University Students

The present study investigated effects of perfectionism, depressive rumination (DR), and worry on academic burnout in university students. In addition mediating roles of depressive rumination and worry was explored. A sample of 515 students (237 females, 278 males) with age range of 17-27 years; (M = 20, SD = 1.66) were included from various government and private universities of Lahore. The research instruments used were: Almost Perfect Scale-Revised (APS-R; Slaney, Rice, Mobley, Trippi, & Ashby, 2001), Rumination Response Scale (Treynor, Gonzalez, & Nolen-Hoeksema, 2003), Penn State Worry Questionnaire (Meyer, Miller, Metzger, & Borkovec, 1990), and Indigenous Burnout Scale (Ijaz & Khan, 2012). Results revealed a significant positive relationship between perfectionism (standard/order) and worry. Moreover a significant positive relationship was also found among perfectionism (discrepancy), depressive rumination, worry, and academic burnout. The mediation analysis showed that depressive rumination and worry significantly mediated the relationship between perfectionism and academic burnout. The present study highlighted the need for studying different dimensions of perfectionism and also identifying the causes of depressive rumination and Worry in student population which have been found to be leading to academic burnout.
Manifestation of Heterosis in Indian Mustard: Through Physiological characters for Seed Yield

Half diallel F1 crosses and parents of Indian mustard [B. juncea (L.) Czern & Coss. ] genotypes were evaluated for canopy temp. (0C) at 40 DAS, 50 DAS, 60 DAS, 70 DAS and chlorophyll luorescence at 40 DAS, 50 DAS, 60 DAS, 70 DAS, seedling mortality (%) and seed yield per plant (g). Mean squares due to parent v/s crosses were signiicant for all the traits, except for canopy temperature at 50 DAS, chlorophyll luorescence (Fv/Fm) at 40 DAS, chlorophyll luorescence (Fv/Fm) at 50 DAS and chlorophyll luorescence (Fv/Fm) at 60 DAS in timely sown condition and canopy temperature at 50 DAS and canopy temperature at 70 DAS in late sown condition. For seed yield and physiological traits, crosses RH8814 x RH0555A, RH0644 x BPR543-3 and BPR349-9 x RH0644 in timely sown condition and crosses RH0555A x RH0644, RH0735 x RH0116 and BPR349-9 x RH0644 in late sown were identiied as promising on the basis of their high per se performance with positive and negative heterotic effects. From the component character analysis, it was concluded that characters canopy temperature , chlorophyll luorescence (Fv/Fm) and seedling mortality contributed signiicantly towards heterosis in seed yield. These crosses could be further used to select superior segregants.
Lopinavir/ritonavir: is early administration better in Covid-19?

Background: To share the data of coronavirus 2019 (Covid-19) patients started on lopinavir-ritonavir (lopi/r) in relation to time period from the onset of symptoms.Method: Observational descriptive study of 23 Covid-19 patients admitted in a tertiary care center in India from March 2020 to May 2020. Patients categorized into 2 groups based on the timing of initiation of lopi/r from the onset of symptoms. Group 1 were given the drug early (≤7 days) and group 2 late (>7 days). The clinical events (oxygen requirement days and ICU stay) and outcomes of hospital stay between the two groups were evaluated.Results: Patients were started on lopi/r for a period of 14 days on admission, out of which 12 patients were in group 1 and 11 patients in group 2. Underlying co-morbidities were present in 15 patients (65.21%). The mean duration from onset of symptoms to lopi/r initiation was 4 days and 11.1 days in Group 1 and 2 respectively. Requirement for oxygen support (2.16 versus 6.54 days), mean duration of hospitalization (8.58 versus 11.54 days) and mean duration of obtaining first Covid-19 negative report from the onset of symptoms (10.5 versus 19.57 days) were all significantly lesser in group 1 (p<0.05). All patients belonging to Group 1 and eight patients of group 2 recovered completely and were discharged whereas 3 patients of group 2 expired. Diarrhea was the most commonly observed adverse effect of lopi/r in our patients.Conclusion: With no approved weapon to tackle the Covid-19 pandemic, we should keep lopi/r in our armamentarium of drugs and use it at the earliest. More clinical trials are needed in future to ascertain if lopi/r can reduce hospital stay, prompt faster recovery and result in better clinical outcome.
The Cytogenetic Effects Evaluation of Non-thermal Radiofrequency Radiation from Cellular Phones on Rat Peripheral Blood Lymphocytes

The widespread use of mobile phones over the past decade has raised considerable concern public about possible biological effects of electromagnetic field emitted from cell phones and their consequences on human health. The aim of this study was to evaluate whether chronic whole-body exposure to non-thermal radiofrequency (RF) radiation from cellular phones could induce cytogenetic effects on peripheral blood lymphocytes of rats exposed to radiofrequency radiation. Twelve (23) Wistar rats were used for the study and randomly divided into 4 groups according to time of exposure, animals in treatment were exposed respectively for: oh (control), 1h, 2 and 3h daily 7 days a week for up 15 weeks to 900 MHz radiofrequency radiation at an average special absorption rate (SAR) of 0.873-0.352 W/kg, all rats were visually checked daily and were weighed weekly. After the period of exposure, blood samples were collected from all groups and peripheral blood cultures were performed using standard laboratory methods for the extent of genotoxicity, assessed by the cytokinesis-block micronucleus assay. The results indicated that significant increase of micronucleated (MN) cells in the lymphocytes among the study groups in a time-dependent manner compared with the control. The proliferation index (PI), is significantly decreased in all exposed groups in a time-dependent manner compared with the control, however body weight gain was insignificantly changed in all groups exposed comparing to unexposed rats. This study shows that the chronic exposure to 900 MHz radiofrequency radiation from cell phones may induce cytogenetic effects in rat lymphocytes, and this effect is more remarkable for long exposure time.
MELATONIN IMPLANT INDUCES ESTRUS AND ALLEVIATES OXIDATIVE STRESS IN SUMMER ANESTRUS BUFFALO

Summer anestrus buffalo were divided into control (n=29) and treatment group (n=41). Treated buffalo were subcutaneously inserted melatonin implants @18mg/50kg body wt. Estrus signs were observed till 35 days post-treatment and estrus induction rate (%) was recorded. Blood samples were collected at weekly intervals, 7 days prior to insertion of implant until day 35 after insertion of implant. Estrus induction rate was higher (χ2 =3.19, p<0.05) in melatonin-implanted buffalo (65.8%) as compared to control (41.4%). Lipid peroxide (LPO) concentrations reduced (p<0.05) in melatonin-implanted buffalo from day 28 onwards as compared to values in pre-treatment period and controls. Antioxidant enzymes (Glutathione Peroxidase, Glutathione Reductase, Superoxide dismutase and Catalase) showed an increasing trend following melatonin-treatment and remained elevated until day 35 (p<0.05); however, no such phenomenon was recorded in control buffalo. In conclusion, the present study demonstrated the effectiveness of melatonin for inducing estrus and alleviation of oxidative stress in summer anestrus buffalo.
Artificially Intelligent Tactile Ferroelectric Skin

Lightweight and flexible tactile learning machines can simultaneously detect, synaptically memorize, and subsequently learn from external stimuli acquired from the skin. This type of technology holds great interest due to its potential applications in emerging wearable and human‐interactive artificially intelligent neuromorphic electronics. In this study, an integrated artificially intelligent tactile learning electronic skin (e‐skin) based on arrays of ferroelectric‐gate field‐effect transistors with dome‐shape tactile top‐gates, which can simultaneously sense and learn from a variety of tactile information, is introduced. To test the e‐skin, tactile pressure is applied to a dome‐shaped top‐gate that measures ferroelectric remnant polarization in a gate insulator. This results in analog conductance modulation that is dependent upon both the number and magnitude of input pressure‐spikes, thus mimicking diverse tactile and essential synaptic functions. Specifically, the device exhibits excellent cycling stability between long‐term potentiation and depression over the course of 10 000 continuous input pulses. Additionally, it has a low variability of only 3.18%, resulting in high‐performance and robust tactile perception learning. The 4 × 4 device array is also able to recognize different handwritten patterns using 2‐dimensional spatial learning and recognition, and this is successfully demonstrated with a high degree accuracy of 99.66%, even after considering 10% noise.
Applicants reaction towards the personnel selection methods in Pakistan

Abstract The purpose of this study is to investigate applicants’ reactions towards different personnel selection methods used in Pakistan. A sample of 149 undergraduates, graduates, and working adults rated their perceptions of the favorability and fairness of these personnel selection methods, namely: resumes, job knowledge tests, biographical information, interviews, personal references, work-sample tests, personality tests, written ability tests, personal contacts, and situational judgment tests. Our first research objective is to provide details about applicant reactions, detailed system of the same and methods on a range based on working adults, graduates, and undergraduates. The second major objective is to identify the interaction effects of favorability and system fairness based upon applicant reactions. Descriptive data analysis was performed using IBM SPSS and the data was collected from Lahore, Islamabad, and Jhelum. The results demonstrated that 112 applicants reported the most favorable rating reaction towards the interview personnel selection method, with the effectiveness of identifying qualified people for the job, while 101 applicants reported a favorable rating reaction towards job knowledge tests, noting the fairness of this procedure. In addition, implications for the current assessment of selection practices from the applicants’ viewpoints, the strengths and limitations of the study, and directions for future research are all discussed. The practices of different predictor methods are considered in the conclusion.
Investigation into waiting time, self‐service technology, and customer loyalty: The mediating role of waiting time in satisfaction

This study examines customer satisfaction with waiting time (WT) and customer loyalty (CL) relationships in the airline industry. The mediating influence of waiting time satisfaction (WTS) in the self‐service technology (SST) and CL relationship was also examined. Seven hundred fifty structured questionnaires were administered at Sabiha Gökçen, and Instabul international airports in Turkey and partial least square–structural equation modeling were employed for the model analysis. The findings reveal that SST, perceived, retrospective, and prospective WTs are major determinants of WTS. Furthermore, SST and WTS were found to have a linear and significant positive influence on CL. Therefore, this study suggests that the airport management should identify the causes of WT, make the waiting environment conducive for the customers, make the WT inconsequential to the customers, and enhance their loyalty to the airport.
Modeling I(2) Processes Using Vector Autoregressions Where the Lag Length Increases with the Sample Size

In this paper the theory on the estimation of vector autoregressive (VAR) models for I(2) processes is extended to the case of long VAR approximation of more general processes. Hereby the order of the autoregression is allowed to tend to infinity at a certain rate depending on the sample size. We deal with unrestricted OLS estimators (in the model formulated in levels as well as in vector error correction form) as well as with two stage estimation (2SI2) in the vector error correction model (VECM) formulation. Our main results are analogous to the I(1) case: We show that the long VAR approximation leads to consistent estimates of the long and short run dynamics. Furthermore, tests on the autoregressive coefficients follow standard asymptotics. The pseudo likelihood ratio tests on the cointegrating ranks (using the Gaussian likelihood) used in the 2SI2 algorithm show under the null hypothesis the same distributions as in the case of data generating processes following finite order VARs. The same holds true for the asymptotic distribution of the long run dynamics both in the unrestricted VECM estimation and the reduced rank regression in the 2SI2 algorithm. Building on these results we show that if the data is generated by an invertible VARMA process, the VAR approximation can be used in order to derive a consistent initial estimator for subsequent pseudo likelihood optimization in the VARMA model.
Characterization of the genetic diversity in Passiflora spp. in the Boyacá Department, Colombia

Passiflora is a group of species of economic importance in Colombia because of their productive potential and nutritional, pharmaceutical and industrial properties; therefore, it is necessary to study the genetic diversity of the species cultivated in principal productive departments, such as Boyacá. The use of molecular markers has become a fundamental tool for germplasm characterization, which effectively complements morphological and agronomic information. This research aimed to characterize the genetic diversity of Passiflora spp. grown in the Department of Boyacá using inter-simple sequence repeat (ISSR) markers. The eight ISSRs generated a total 138 bands with molecular weights between 250 and 1350 kb. With a similarity coefficient of 0.60, seven groups were formed, showing lax distribution of the individuals. The percentage of polymorphic loci was between 56% (TG) and 90% (AG). The average value of heterozygosity was 0.56 with a genetic differentiation coefficient (FST) of 0.16, which indicated great genetic diversity but without a defined population structure. The AMOVA showed that 64% of the observed genetic variation was due to the component within the groups. The results suggested levels of hierarchy and subdivision finer than those considered in this study, in addition to a complementary morphoagronomic characterization that established the total genetic diversity, which can be used to implement a breeding program for more productive cultivars that are resistant to the principal phytosanitary problems.
Water Availability Influences Species Distributions on Serpentine Soils

Abstract Serpentine soils are highly variable environments, but how this variability contributes to maintaining distinct distributions of species at small scales is unclear. We studied parapatric populations of Layia jonesii A. Gray, a rare serpentine endemic, and L. platyglossa (Fisch. & C. A. Mey) A. Gray, a wide-spread species, to understand how edaphic variability and competitive interactions maintain co-occurring, somewhat interfertile, relatives within serpentine environments. We analyzed soil characteristics along a serpentine hillside where L. jonesii and L. platyglossa are restricted to the top and bottom of the hillside, respectively. We used reciprocal transplants to investigate fitness differences on the hillside and a competition experiment to determine if species interactions also restrict the distribution of L. jonesii. The soil analyses showed the top of the hill is drier than the bottom, yet both locations are chemically indistinguishable. Layia platyglossa is better adapted to the edaphic conditions at the bottom of the hillside and L. jonesii is sensitive to competition in the bottom region. Differences in soil water availability, and potentially its effect on the competitive environment, likely contributes to maintaining the distribution of these species. Ionic stress is often cited as a driver of species' distributions within serpentine environments, but our research suggests soil water availability can be an important factor influencing the distribution of interfertile species on serpentine at small scales. Annual variation in precipitation may drive local shifts in species distributions through alteration of the competitive environment.
Insects Associated with Cucumbers (Cucumis SativusL.) At Bamunka-Ndop(North West Region, Cameroon)

Studies on insects associated with cucumbers (Cucumis sativus) in Bamunka-ndop (North-West, Cameroon) under field conditions were conducted in 2017 and 2018 from April to July. The insect species diversity, the relative abundance, the frequency of visits and guilds were recorded on the plant from 7 am to 6 pm in a 2 hours time slots. Insects were found on the stem, leaves and flowers of Cucumber. There were 10 insect species belonging to 4 Orders. Out of these, four species belonged to Hymenoptera (54.15%), whereas the Coleoptera (33.18%), the Orthoptera (7.83%) and the Diptera (4.84%) owned two species each. Formica sp. being the most represented insect (24.42%) followed by A. mellifera (21.66%). Nectarivorous, pollinivorous, stems and leaves feeders and flowers and leaves feeders were found on the crop. The peak of activities of all the insect species was situated between 10 am and 12pm even though the temperature and the relative humidity of the study site appear not to affect their activities on the plant. These studies therefore indicated that the insects associated to cucumber should be exploited to work on their activities on cucumber and enhancing yield and quality of the fruits.
Thermomechanical Simulations of Residual Stresses and Distortion in Electron Beam Melting with Experimental Validation for Ti-6Al-4V

Electron beam melting (EBM) is a relatively new process in three-dimensional (3D) printing to enable rapid manufacturing. EBM can manufacture metallic parts with thin walls, multi-layers, and complex internal structures that could not otherwise be produced for applications in aerospace, medicine, and other fields. A 3D transient coupled thermomechanical finite element (FE) model was built to simulate the temperature distribution, distortion, and residual stresses in electron beam additive manufactured Ti-6Al-4V parts. This research enhances the understanding of the EBM-based 3D printing process to achieve parts with lower levels of residual stress and distortion and hence improved quality. The model used a fine mesh in the layer deposition zone, and the mesh size was gradually increased with distance away from the deposits. Then, elements are activated layer by layer during deposition according to the desired material properties. On the top surface, a Gaussian distributed heat flux is used to model the heat source, and the temperature-dependent properties of the powder and solid are also included to improve accuracy. The current simulation has been validated by comparing the FE distortion and temperature results with the experimental results and other reported simulation studies. The residual stress results calculated by the FE analysis were also compared with the previously reported simulation studies on the EBM process. The results showed that the finite element approach can efficiently and accurately predict the temperature field of a part during the EBM process and can easily be extended to other powder bed fusion processes.
Statistical and practical considerations in designing of immuno-oncology trials

ABSTRACT The novel mechanism of action of immunotherapy agents, in treatment of various types of cancer, poses unique challenges during the designing of clinical trials. It is important to account for possibility of a delayed treatment effect and adjust sample size accordingly. This paper provides an analytical approach for computing sample size in the presence of a delayed effect using a piece-wise proportional hazards model. Failing to account for an anticipated treatment delay may result in considerable loss in power. The overall hazard ratio (HR), which now represents the average HR across the entire treatment period, can remain a meaningful measure of average benefit to patients in the trial. We show that, special consideration needs to be given for the designing of interim analyses related to futility, so as not to increase the probability of incorrectly stopping an effective agent. It is shown that the weighted log-rank test, using the Fleming-Harrington class of weights, can be used as supportive analysis to better reflect the impact of a delayed effect and possible long-term benefit in a subset of the overall population.
The Clarity and Contribution of the Hospital Social Work Role: Observations on its Professional Identity

This review explores international practice in hospital social work with older people through the lens of four different aspects of professional identity (self-identity and reported practice; professional characteristics; patient perspectives, and professional authority or power). It highlights the skills needed for hospital social work and the challenges faced by practitioners following organisational change in acute hospital care. It offers an agenda for new research and for professional debates about what will be needed from hospital social workers in the future.
On Some Characteristics of Gaussian Covariance Functions

The concepts of isotropy/anisotropy and separability/non‐separability of a covariance function are strictly related. If a covariance function is separable, it cannot be isotropic or geometrically anisotropic, except for the Gaussian covariance function, which is the only model both separable and isotropic. In this paper, some interesting results concerning the Gaussian covariance model and its properties related to isotropy and separability are given, and moreover, some examples are provided. Finally, a discussion on asymmetric models, with Gaussian marginals, is furnished and the strictly positive definiteness condition is discussed.
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications

Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-assisted multi-user communication (IRS-MUC) systems. However, different from traditional communication systems, an IRS-MUC system generally involves a cascaded channel with a sophisticated statistical distribution. In this case, the optimal minimum mean square error (MMSE) estimator requires the calculation of a multidimensional integration which is intractable to be implemented in practice. To further improve the channel estimation performance, in this paper, we model the channel estimation as a denoising problem and adopt a deep residual learning (DReL) approach to implicitly learn the residual noise for recovering the channel coefficients from the noisy pilot-based observations. To this end, we first develop a versatile DReL-based channel estimation framework where a deep residual network (DRN)-based MMSE estimator is derived in terms of Bayesian philosophy. As a realization of the developed DReL framework, a convolutional neural network (CNN)-based DRN (CDRN) is then proposed for channel estimation in IRS-MUC systems, in which a CNN denoising block equipped with an element-wise subtraction structure is specifically designed to exploit both the spatial features of the noisy channel matrices and the additive nature of the noise simultaneously. In particular, an explicit expression of the proposed CDRN is derived and analyzed in terms of Bayesian estimation to characterize its properties theoretically. Finally, simulation results demonstrate that the performance of the proposed method approaches that of the optimal MMSE estimator requiring the availability of the prior probability density function of channel.