Miracle-dz/UniFAR-FTUs huggingface dataset:
Crepuscular hunting of swiftlets (Family: Apodidae) by Besra (Family: Accipitridae) in the urban areas of the Andaman Islands, India

We report the crepuscular hunting behavior by the Besra Accipiter virgatus, on the Glossy Swiftlets Collocalia esculenta affinis and the Edible-nest Swiftlets Aerodramus fuciphagus inexpectatus in urban areas the Andaman & Nicobar Islands. Unlike other raptors in the islands, the Besra hunts at twilight often in the absence of moonlight or/and artificial light. Glossy and Edible-nest Swiftlets have been ranched in human habitations and their nests harvested for livelihood support of local communities under an ex situ conservation program. Using the focal animal sampling method, we recorded the hunting behavior of the Besra (the predator) on the swiftlets (the prey) for 40h (120 min/day for 20 days) at the ex situ swiftlet colony established in a house in the Middle Andamans. The Besra made 84 hunting attempts, with the highest success rate (15.4%) between 17.00–18.00 h. The catch rate was a mean of 4±11 (SD) per day. The maximum time that was used for attempt to kill the prey was two hours. Depredation of the Edible-nest Swiftlet by the Besra could affect ex situ conservation efforts, which can also lead to economic losses and retaliation against the raptor. Restricting perch sites for the raptor around ranching houses might reduce predation risks for the swiftlets.
An Integrated Cost Model Based on Real Patient Flow: Exploring Surgical Hospitalization

Considering the gap observed in studies on health costs, this article aims to propose a cost calculation model for surgical hospitalization. A systematic literature review using PRISMA was conducted to map cost drivers adopted in similar studies and provide theoretical background. Based on the review, an integrated model considering real patient flow was developed using CHEERS guidelines. The micro-costing top-down method was adopted to develop the cost model allowing a balance between the accuracy of the information and the feasibility of the cost estimate. The proposed model fills two gaps in the literature: the standardization of a cost model and the ability to assess a vast number of different surgery costs in the same hospital. Flexibility stands out as an important advantage of the proposed model, as its application enables evaluation of elective and urgent surgeries of medium and high complexity performed in public and private hospitals. As a limitation, the hospital should have hospital information and cost systems implemented. The proposed cost model can provide important information that can result in better decision making. This becomes more relevant in public health, especially in low- and middle-income countries, which faces a lack of resources and whose positive effects can improve healthcare.
Analyzing one-day tour trends during COVID-19 disruption – applying push and pull theory and text mining approach

ABSTRACT Fear of COVID-19 and the quarantine lifestyle make travellers look for new ways of travelling to get rid of boredom and anxiety. People are looking for one-day tours to break the monotony. The study presents the travel motivations of people during the pandemic based on the Push and Pull theory. The study's objective is to examine the relationship between push and pull motives for initiating one-day tours when mobility is partially restricted. It examines the moderating effect of COVID-19 related factors on the push and pull motives. The text mining approach and NLP is used to analyze Vlog review data to capture sentiments and emotions. The study gives insight into the traveller's emotional state in the context of one-day tours during these critical times. The text mining reveals the push and pull motives for one day tours and the negative moderating influence of concern for safety and fear of infection. The findings indicate that travellers prefer “day use hotel”, “clean beaches”, and “home picnic” environment with “proper hygiene” at the tourist locations. These findings give insight into the consumers' travel motivations and concerns, thereby providing service providers with cues to tailor their offerings to stimulate one day tours.
Plasma microRNA-192 expression as a potential biomarker of diabetic kidney disease in patients with type 2 diabetes mellitus

Background. Albuminuria is an early clinical indicator of diabetic kidney disease (DKD). However, it has several limitations. The aim of this study was to evaluate the plasma microRNA-192 (miRNA-192) expression and its diagnostic performance in patients with type 2 diabetes mellitus (T2DM) and DKD. Methods. In this case-control study, 75 subjects were included into 3 groups: group (1): 20 patients with T2DM and UACR (urinary albumin creatinine ratio) < 30 mg/gm, group (2): 30 patients with T2DM and ACR ≥ 30 mg/gm, and group (3): 25 healthy controls. Patients were recruited from the outpatient clinic of the Diabetes unit at our institution. Real-Time Quantitative Reverse Transcription PCR was used to assess plasma miRNA-192 expression. Results. Plasma miRNA-192 was significantly higher in T2DM patients with DKD compared to those with normal UAE. Additionally, in patients with T2DM, plasma miRNA-192 was positively correlated with UACR. The ROC curve analysis for miRNA-192 plasma expression in patients with T2DM, revealed that miRNA-192 had a good diagnostic performance (AUC = 0.778) to define T2DM patients with DKD. Conclusion. Plasma expression of miRNA-192 was able to discriminate increased UAE among patients with T2DM; suggesting a promising role for miRNA-192 as a potential biomarker for DKD.
A dynamic Cholesky data imputation method for correlation structure consistency“

ABSTRACT In the context of data that is missing completely at random, we propose a new data imputation method that exploits Cholesky decomposition. The data imputation method falls within the multiple imputation framework and is designed to ensure consistency with the correlation structure of the available data. The advantage is an accessible and computationally efficient approach to managing missing data that avoids the model risk associated with applying complex model-based data imputation methods. The non-recursive nature of our data imputation method further avoids the convergence issues associated with recursive approaches.
Comparison of convective parameters derived from ERA5 and MERRA2 with rawinsonde data over Europe and North America

In this study we compared 3.7 mln rawinsonde observations from 232 stations over Europe and North America with proximal vertical profiles from ERA5 and MERRA2 to examine how well reanalysis depicts observed convective parameters. Larger differences between soundings and reanalysis are found for thermodynamic theoretical parcel parameters, low-level lapse rates and low-level wind shear. In contrast, reanalysis best represents temperature and moisture variables, mid-tropospheric lapse rates, and mean wind. Both reanalyses underestimate CAPE, low-level moisture and wind shear, particularly when considering extreme values. Overestimation is observed for low-level lapse rates, mid-tropospheric moisture and the level of free convection. Mixed-layer parcels have overall better accuracy when compared to most-unstable, especially considering convective inhibition and lifted condensation level. Mean absolute error for both reanalyses has been steadily decreasing over the last 39 years for almost every analyzed variable. Compared to MERRA2, ERA5 has higher correlations and lower mean absolute errors. MERRA2 is typically drier and less unstable over central Europe and the Balkans, with the opposite pattern over western Russia. Both reanalyses underestimate CAPE and CIN over the Great Plains. Reanalyses are more reliable for lower elevations stations and struggle along boundaries such as coastal zones and mountains. Based on the results from this and prior studies we suggest that ERA5 is likely one of the most reliable available reanalysis for exploration of convective environments, mainly due to its improved resolution. For future studies we also recommend that computation of convective variables should use model levels that provide more accurate sampling of the boundary-layer conditions compared to less numerous pressure levels.
One-dimensional leaky-wave antenna producing multiple beams

In this paper, far-field pattern of one-dimensional leaky-wave antenna (LWA) is directly synthesized by sinusoidally modulating surface currents of the antenna. Due to the characteristic of light cone in distinguishing surface waves and radiation waves, the numbers of the beams are selectable depending on the modulations. A one-dimensional substrate integrated waveguide (SIW) antenna producing two beams are designed and fabricated. Measurements agree very well with the simulations, indicating the validity of the presented synthesizing method as well as the practicalities of the presented SIW antenna.
Potential Roles of Long Non-Coding RNAs (lncRNAs) in Stress Response Regulation

The non-coding RNAs (ncRNAs) are functional RNA transcripts involved in gene regulation at the level of transcription and post-transcription. There have been vital pieces of evidence to support the role of regulatory non-coding RNAs in the eukaryotic genome in recent years. The ncRNAs are also associated with post-translational modi ications such as histone modi ication, heterochromatin formation, DNA methylation and other key molecules which are involved in regulating chromatin structures for gene expression. LncRNAs (long non-coding RNAs) are the most diverse, biologically active transcripts without signi icant open reading frames (ORFs) and represent the majority of ncRNAs populations in the human genome. Emerging pieces of evidence suggest the role of ncRNAs in a wide range of human diseases, including cardiovascular, Alzheimer, and cancer. Several reports in the recent past also supported their involvement in the modulation of various cellular responses, although the mechanisms of ncRNAs mediated gene regulations are still not fully understood. This review paper highlights the importance of lncRNAs in cellular stress response such as DNA damaging ionizing radiation that will encourage research in thrust areas of therapeutics and diagnostics. The involvement of important lncRNAs in regulating biological processes, responses to ionizing and non-ionizing radiation, as well as methods for the analysis of their cellular expression has been discussed.
Recent Advances and Challenges in Halide Perovskite Crystals in Optoelectronic Devices from Solar Cells to Other Applications

Organic-inorganic hybrid perovskite materials have attracted tremendous attention as a key material in various optoelectronic devices. Distinctive optoelectronic properties, such as a tunable energy band position, long carrier diffusion lengths, and high charge carrier mobility, have allowed rapid progress in various perovskite-based optoelectronic devices (solar cells, photodetectors, light emitting diodes (LEDs), and lasers). Interestingly, the developments of each field are based on different characteristics of perovskite materials which are suitable for their own applications. In this review, we provide the fundamental properties of perovskite materials and categorize the usages in various optoelectronic applications. In addition, the prerequisite factors for those applications are suggested to understand the recent progress of perovskite-based optoelectronic devices and the challenges that need to be solved for commercialization.
Revampment of surface permanent magnet synchronous motor design for ameliorated torque profile in e‐mobility applications

Anshul K. Mishra, School of Computing and Electrical Engineering, IIT Mandi, Mandi, Himachal Pradesh 175005, India. Email: anshulmishra@ieee.org Abstract High‐frequency audible noise and high‐frequency vibrations (HFVs) in electrical vehicles are primarily caused by vibrations and ripples generated in the traction motor. The appositeness of permanent magnet synchronous motors (PMSMs) has been boosting in traction applications due to their high energy density, compact size and high torque toweight ratio. A novel and step‐by‐step design of medium power, high speed, surface PMSM, suitable for e‐bus or e‐truck applications, with suppressed torque ripples, is presented. Initially, a conventional machine design approach has been used to design 100 kW PMSM. In the next step, the design has been ameliorated by making it a fractional slot winding machine to suppress the winding harmonics. Finally, the effect of the permanent magnet embrace size on the torque ripple has been investigated. A nonlinear relationship between the torque ripple and PMSM magnetic embrace has been developed. The developed relationship has been validated in the finite element model of the machine. Gradient‐based nonlinear sequential programming has been used to find out the optimum magnetic embrace for the minimised torque ripple. The effectiveness of the optimised design has been revalidated in the FE software. The step‐by‐step design process described here can reduce the torque ripple by 85% of optimised design compared to the conventionally designed PMSM.
The Role of a Female Head Assistant at "Al-Walidaturrahmah" Orphanage in Implementing A Just and Civilized Humanity in Samarinda

This article describes and analyzes the role of Al Walidaturrahmah Orphanage in Samarinda in implementing a just and civilized humanity principle. Also, it tries to find out and analyze the forms of coaching and patterns of character development given to the children at AlWalidaturrahmah Orphanage in Samarinda. This research uses qualitative research with a descriptive approach, using primary data, namely the head and the manager of the orphanage. Secondary data sources were obtained through relevant photos and documents of Al-Walidaturrahmah Orphanage. Data collection techniques were done through observation, interviews, and documentation. The data were collected, reduced, and displayed before conclusions were taken. The study found out that the efforts of AlWalidaturrahmah orphanage in implementing the principles to foster children were quite good. Foster children feel treated fairly and well by the parties. The efforts to develop the institutional foundation for AlWalidaturrahmah orphanage are good enough and by the provisions, because it has been carried out well, and the Al-Walidaturrahmah orphanage children carry out appropriate activities to face their future in society later. The pattern of fostering character education at the Al-Walidaturrahmah orphanage can be said to have been carried out well because the AlWalidaturrahmah orphanage children carry out activities by the second precept and have the character to face their future in society.
Performance of Satellite-Based Evapotranspiration Models in Temperate Pastures of Southern Chile

Farmers in the temperate zone of southern Chile have started to irrigate historically rainfed pastures during recent years to reduce dairy productivity losses against increasingly severe summer droughts. The lack of information on pasture water requirements (i.e., evapotranspiration), however, hampers the implementation of efficient irrigation programs. Here, we use in-situ observations to evaluate the skill of four remote sensing Surface Energy Balance (SEB) models and two satellite-based global evapotranspiration products (PML_V2 and GLEAM) to estimate actual evapotranspiration (ETa) of pastures in southern Chile during 2014–2017. Daily ETa measured at an evaluation site over the period ranges between 1.2 mm and 6.2 mm day−1 during the growing season (October–March), with an annual maximum of about 4.8 mm day−1 in January and a minimum 0.6 mm day−1 in June. Only the Simplified SEB (SEBS) model and its operational variant (SSEBop) and the PML_V2 global evapotranspiration product perform well, capturing 63–79% of the variance of in-situ evapotranspiration with an error between 0.75 mm day−1 and 1.1 mm day−1. The readily available PML_V2 product can be used as a convenient way to determine average water footprint of pastures and the two SEBs models can be implemented to monitor irrigation requirements in near-real time from field to regional scales. These results demonstrated a high potential of satellite observations for monitoring evapotranspiration and quantify the water footprint of pastures in southern Chile for a sustainable irrigation practice.
‘It is important at this point to make clear that this study is not “anti-iPad”’: Ed-Tech speak around iPads in educational technology research

ABSTRACT This position paper contributes to the field of critical educational technology (Ed-Tech) research by providing empirical evidence for the qualities of the phenomenon known as Ed-Tech speak. The research question, how does Ed-Tech speak in research articles about Apple's iPad contribute to promoting and validating the importance and utility of the iPad for teaching and learning, is addressed by applying critical genre analysis to investigate empirical research articles discussing the use of iPads in institutional education. As a result, four categories were formed: the self-evident importance of iPads, overgeneralization of references, the use of strong reporting verbs (to boost weak references), and the use of boosting devices when discussing the findings. Possible explanations for the existence of Ed-Tech speak in research articles are offered.
Rare ovarian neoplasm: Primary precursor B-cell Lymphoblastic Lymphoma involving bilateral ovaries

The involvement of the ovary in lymphomatous processes is rare. However, in the female genital tract, the ovary is a frequent site to be involved by the hematological malignancies. Involvement of the ovary by malignant lymphoma can be primary or secondary and is discovered incidentally during a workup for abdominal or pelvic complaints. Most commonly occurring ovarian lymphoma is diffuse large B cell type, whereas the Precursor B Cell Lymphoblastic Lymphomas are extremely rare and previously only 5 cases have been reported. Here, we report a case of clinically suspected malignant ovarian tumor involving bilateral ovaries, which was diagnosed as a primary precursor B-LBL after surgery in a young female. This case highlights the need for careful evaluation of radiologic and morphologic features along with an extensive immunohistochemical panel to arrive at the correct final diagnosis to guide the chemotherapy. Keywords: Non-Hodgkin Lymphoma; Primary Ovarian Precursor B-Cell Lymphoblastic Lymphoma; Primary ovarian lymphoma; Primary ovarian tumors
Integration of Ozonation and Biological Treatment of Industrial Wastewater From Dyehouse

ABSTRACT The aim of the research was to improve the treatment technology of wastewater from dyehouse using ozonation and biological processes. The various combinations of the processes were examined. Ozonation was performed in two reactors of working volume 1 dm3 (stirred cell) and 20 dm3 (bubble column), while biodegradation was conducted in sequence batch reactors (SBR 1.5 dm3) and horizontal continuous flow bioreactor (HCFB, 12 dm3). The highest removal of organic carbon content (COD–72%, TOC–78%) was obtained in the 3-steps experiment: biodegradation plus ozonation plus biodegradation, however, for economic reasons a sequence: biological treatment plus ozonation was selected as the mostly advisable one. The developed method allows closing of process water in the textile factories.
Perceptions of entrepreneurship in translation training

ABSTRACT This article examines the perceptions that students and teachers of translation, as well as professional translators, have of entrepreneurship education at Universitat Autònoma de Barcelona (UAB). Based on a case-study design, the study aims to describe the views of a group of students and a group of trainers on the Translation and Interpreting degree course at UAB, as well as those of a group of professional translators, on entrepreneurship and on the need to introduce entrepreneurship education into the degree course. Focus groups were used to collect the data. Our findings show that entrepreneurship education should be embedded in the curriculum of the Degree in Translation and Interpreting, although such content should not focus solely on translation and interpreting as professional tasks, but should also address the whole range of career opportunities that this degree offers. Nevertheless, all the groups agree that this should not lead to a decrease in the number of hours of translation and interpreting practice.
Bilateral Globus Pallidus Internus Deep Brain Stimulation for Parkinson’s Disease: Therapeutic Effects and Motor Outcomes Prediction

Background: Deep brain stimulation (DBS) has emerged as a highly effective surgical treatment for advanced Parkinson’s disease (PD). Good response in levodopa challenge test has suggested as criterion to identify optimal candidates for surgery. However, the response to levodopa and DBS is not always congruent, and predictive value of the levodopa test remains controversial. This study was set out to identify predictors of response to DBS and develop a novel prediction model evaluating DBS candidacy. Methods: Herein, we retrospectively analyzed 62 consecutive PD patients ﻿who underwent bilateral globus pallidus interna (GPi) DBS from 2016 to 2019. ﻿ The changes in UPDRS-III (Unified Parkinson’s Disease Rating Scale part III) total and subscores after surgery at one-year follow-up were evaluated and potential predictor variables were also collected. In the training cohort of 29 patients, we developed a novel machine learning method with 5-fold cross validations implementing on these variables to predict GPi DBS treatment outcomes in a multivariate linear analysis. ﻿Furthermore, the machine learning model was externally validated with another cohort of 33 GPi DBS PD patients.Results: GPi DBS significantly improved postoperative motor function of PD patients. The overall UPDRS-III scores improved by 30.4%, with highest improvement in tremor (75.0%), followed by limb bradykinesia (27.5%), rigidity (27.3%) and axial bradykinesia (22.4%). Most intriguingly, improvement in tremor can be predicted with high accuracy using this prediction model (adjusted R2= 0.82 for absolute improvement, and adjusted R2 = 0.76 for relative improvement), in which off medication tremor subscore was identified as the most powerful preoperative predictor. ﻿In the external validation cohort, the machine learning method showed good predictive performance.Conclusions: We confirmed the effects of bilateral GPi-DBS with a one-year follow-up. The good performance of the present prediction model demonstrated ﻿the utility of machine-learning based motor response prediction after GPi DBS, based on clinical preoperative variables.
Az óvoda–iskola átmenet óvodapedagógusok, tanítók és szülők szemén keresztül

Ez a tanulmány egy feltáró jellegű kutatás bemutatásáról szól, mely későbbi nagymintás adatfelvételek megtervezéséhez szolgál alapul. Félig strukturált interjúkat készítettem óvodapedagógusokkal (N=5), tanítókkal (N=5) és első osztályos gyermeket nevelő szülőkkel (N=5) az óvoda–iskola átmenet értelmezésük és gyakorlatuk feltárása céljából. A válaszadók hasonlóan látják az óvoda–iskola átmenet során megjelenő nehézségek egy részét, ugyanakkor ezek lehetséges megoldásait illetően nem kaptam határozott válaszokat. Eltérő képességeket tartanak fontosnak az iskolakezdés szempontjából, illetve az iskolaérettség megállapítására csak az adott intézményben alkalmazott módszereket ismerik. Elmondásuk szerint az óvoda–iskola átmenetet a leendő tanító és az iskola megismertetésével próbálják segíteni. Az interjúalanyok hasonló intézményi és szülői feladatokat azonosítottak az átmenet megsegítésében. Az eredményeim irányt mutathatnak a szülői nézetek érvekkel való formálásához, illetve a pedagógusok munkájának, eredményességének elősegítéséhez.