Miracle-dz/UniFAR-FTUs huggingface dataset:
“Move or Not to Move”—Red Deer Stags Movement Activity during the Rut

Simple Summary The spatial and temporal structure of the movement of animals is based on behavioural decisions that promote evolutionary success. One of these behavioural decisions is mating strategy. In this paper, we examined the relationship between the movement activity of red deer stags and the fertile period of hinds. We hypothesized that the oestrus of hinds significantly affected the daily activity of stags. We determined the oestrus period of hinds, which was compared with the movement data of the stags determined by GPS telemetry. The combination of GPS telemetry data and oestrus data for red deer has never been used in parallel to demonstrate how the reproductive activity of females affects the spatial behaviour of males in red deer. Knowledge of the movement behaviour of red deer during the mating season is important information in both nature conservation and game management. Abstract Detailed animal movement analysis can help understand spatial population processes as the ultimate consequences of individual behaviour and ecological impacts. The mating strategy of mammalian herbivores is adapted to the distribution of females; thus, it is important to observe the activity of animals during a rut. In this paper, we used a new approach to examine the relationship between red deer stags’ movement activity and the fertile period of hinds. We presumed a relationship between stags’ daily activity changes and the period when hinds are in heat. We determined temporal conception trends, including the first and last conception dates in the examined population and the conception peak. In the same period, i.e., in the interval of major ecological significance when mating takes place, the activity of stags was analysed by GPS telemetry. The data collected in the examined period indicate that 60% of the hinds were conceived between 31 August and 19 September. We demonstrated that conception rates differed significantly between the first and second half of the rutting period. At the beginning of the reproductive cycle, the high number of hinds on heat (oestrus synchrony) increased the activity of stags (harem herding) compared to the pre-rutting period. As the mating season progressed, the movement activity of stags increased more (searching behaviour), induced by the decreasing number of fertile hinds. Therefore, we found that the oestrus of hinds significantly influenced the movement activity of stags in red deer.
Mediating Effects of Depression on Relationships between Nutritional Status and Quality of Life among Older Adults: A Cross-Sectional Study

Purpose: Nutritional status and depression are major factors that affect older adults’ quality of life (QoL). This study aimed to examine the mediating effects of depression on the relationship between nutritional status and physical and mental QoL in older adults and to provide a foundation for developing an effective nursing intervention program to improve QoL.Methods: This study was a cross-sectional, correlational study. A convenience sample of 154 older adults was recruited from J Province, South Korea, between December 2019 and August 2020. Data were analyzed using PROCESS macro with a 95% bias-corrected bootstrap confidence interval for the SPSS/WIN 25.0 program.Results: QoL positively correlated with nutritional status and negatively correlated with depression. After controlling for general covariates, depression partially mediated the relationship between nutritional status and QoL in older adults (physical QoL [Effect=0.41, 95% CI=0.08~0.81], mental QoL [Effect=0.38, 95% CI=0.04~0.79]). Conclusion: Health promotion strategies are needed for older adults with poor nutritional status and high levels of depression. Additionally, nutritional status and depression in older adults affect QoL, with depression affecting QoL through nutritional status as a mediator. Therefore, interventions to improve the nutritional status and reduce depression among older adults must be developed and implemented.
Documented β-Lactam Allergy and Risk for Cesarean Surgical Site Infection

Objective To examine the relationship between documented β-lactam allergy and cesarean delivery (CD) surgical site infection (SSI). Study Design. We conducted a retrospective cohort analysis of women who underwent CD at Ben Taub Hospital and Texas Children's Pavilion for Women (Houston, TX) from August 1, 2011, to December 31, 2019. The primary exposure was a documented β-lactam allergy, and the second exposure of interest was the type of perioperative antibiotic received. The primary outcome was the prevalence of SSI. Maternal characteristics were stratified by the presence or absence of a documented β-lactam allergy, and significance was evaluated using Pearson's chi-squared test for categorical variables and t-test for continuous variables. A logistic regression model estimated odds of SSI after adjusting for possible confounders. Results Of the 12,954 women included, 929 (7.2%) had a documented β-lactam allergy while 12,025 (92.8%) did not. Among the 929 women with a β-lactam allergy, 495 (53.3%) received non-β-lactam perioperative prophylaxis. SSI occurred in 38 (4.1%) of women who had a β-lactam allergy versus 238 (2.0%) who did not (p ≤ 0.001). β-Lactam allergy was associated with higher odds of SSI compared to no allergy (adjusted odds ratio (aOR) = 1.97; 95%confidence interval (CI) = 1.24-3.14; p = 0.004) after controlling for age, race, ethnicity, insurance status, delivery body mass index (BMI), tobacco use, intra-amniotic infection in labor, duration of membrane rupture, preterm delivery, delivery indication, diabetes, hypertension, group B Streptococcus colonization, and type of perioperative antibiotic received. Conclusion The presence of a β-lactam allergy is associated with increased odds of developing a CD SSI after controlling for possible confounders, including the type of perioperative antibiotic received.
A Story of Serial Mediation: Intrapreneurship Explained through a Combination of Individual and Organisational Factors

The research for this study examined the extent to which organisational factors, represented by perceived organisational support and workplace incivility, and individual factors, represented by core self-evaluation (CSE), predicted intrapreneurship. The key hypothesis was that CSE would be associated with intrapreneurship and that incivility and perceived organisational support would serially mediate this relationship. Participants were 410 working adults who volunteered to complete a series of questionnaires measuring CSE, incivility, perceived organisational support, and intrapreneurship. Analysis showed a serial mediation effect between CSE and intrapreneurship through incivility and perceived organisational support. By integrating both individual and organisational antecedents of intrapreneurship from the perspective of CSE, the research illustrates the significant role CSE plays in determining to what extent intrapreneurial behaviours will be exhibited. Findings from this study provide insights for both organisations and researchers in determining the fundamental relationships between individual and organisational factors in predicting intrapreneurial behaviours.
Dependence of subject and measurement position in binaural signal acquisition

Author(s): Algazi, Ralph; Avendano, Carlos; Thompson, Dennis M. | Abstract: A detailed evaluation of the dependence of the head-related transfer functions (HRTFs) on the position of the recordingmicrophone along the ear canal for blocked and unblocked conditions is presented. Measurements at 250 source locations for a KEMAR mannequin and at 125 locations for two human subjects were performed. Conditions under which the magnitude transfer function from the HRTF acquisition position to the eardrum is essentially independent of the source location are shown quantitatively. These results are in agreement with and provide an extensive validation of other studies. The cause and magnitude of measurement errors are also analyzed in detail, and it is shown that these errors are subject dependent.
Investigating Higher Order Thinking Skills (HOTS)-based Literacy Assessment Implemented by An EFL Teacher at A Junior High School in Indonesia

The program of freedom to learn (Merdeka Belajar) attempts to shape students to think critically and be aware of the contexts of the materials they are learning. It will be later assessed through the Minimum Competency Assessment (Asesmen Kompetensi Minimum) by focusing on their literacy and numeracy skills. However, the majority of Indonesian EFL teachers seemed not to have a comprehensive understanding yet of the primary concepts involved in implementing this program. Therefore, this study investigated the higher-order thinking skills (HOTS)-literacy assessment implemented by an EFL teacher at a junior high school in Indonesia. A case study was employed involving one English teacher from a school in West Java province, Indonesia. To collect data, three instruments were used, namely classroom observation, interview with the teacher, and document analysis. The findings of this study revealed that the teacher applied two types of assessments, namely formative and summative assessments. Formative assessment was done through vocabulary building, pronouncing words, and meaning-making, while the summative assessment was administered by contextualizing the materials and test items, giving open-ended questions, and using picture series to make a storyline. In addition, literacy skill was promoted in the levels of performative and functional. Performative was constructed to allow the students to read the written text as it is, while functional levels could give the students the opportunity to get the message behind the text. As a recommendation, these types of assessment could train the teacher to be ready in facing the Minimum Competency Assessment (AKM).
Simulation of MHD Flows Using a Hybrid Lattice-Boltzmann Finite-Difference Method

A hybrid lattice-Boltzmann finite-difference method is presented to simulate incompressible, resistive magnetohydrodynamic (MHD) flows. The lattice Boltzmann equation (LBE) with the Lorentz force term is solved to update the flow field while the magnetic induction equation is solved using the finite difference method to calculate the magnetic field. This approach is methodologically intuitive because the governing equations for MHD are solved in their respective original forms. In addition, the extension to 3-D is straightforward. For validation purposes, this approach was applied to simulate the Hartmann flow, the Orszag-Tang vortex system (2-D and 3-D) and the magnetic reconnection driven by doubly periodic coalescence instability. The obtained results agree well with analytical solutions and simulation results available in the literature. PACS: 47.11. -j, 47.65. -d
An investigation of vegetable production in Iran by using time series models

Nowadays, agriculture, particularly vegetable production, plays a vital role in the lives of the people of the Islamic Republic of Iran. The proper forecast of harvesting of vegetable production is essential for the agriculture ministry; so that they can make decisions about storage, import or export, etc. In this paper, the prediction of vegetable production in Iran is done in different time series models such as simple random walk, random walk with drift, linear trend, quadratic trend, simple moving average, simple exponential smoothing, double exponential smoothing, exponential trend, s-curve trend, and Auto-Regressive Integrated Moving Average models. Depending on the availability of the required data, a set of six different groups of vegetables (cucumbers and gherkins, eggplants, garlic, onions, pumpkins, squash and gourds, and tomatoes) has been studied for empirical analysis. The two set data from 1961-62 to 2019-20, and from 1990-91 to 2019-20 has been used to forecast the vegetable production for the next eight years from 202021. The total data are divided into training data and testing data. The best models were selected based on the lowest RMSE, minimum values of Akaike Information Criteria, and Schwarz Bayesian Information Criteria. The model diagnosis was performed using Ljung-Box, Runs above and below the median, and Runs up and down tests on ACF and PACF in residuals. For garlic, the quadratic model was selected as the best model; whereas for the rest of the vegetable groups the ARIMA model was determined as the optimum model. For the next eight years, suitable models were forecasted from 2020-21 to 2027-28. Based on the findings, the forecasted production for cucumbers and gherkins is 540.23 to 3021.31, for eggplants is 615.819 to 496.993, for garlic, is 59.1889 to 61.4415, for onions is 2204.69 to 2436.1, for pumpkins, squash, and gourds are 196.068 to 211.065, and for tomatoes is 4399.59 to -4486.66 in 1000 tonnes from 2020-21 to 2027-28. The forecasted data indicate an increase in the production of cucumbers and gherkins, garlic, onions, pumpkins, squash, and gourds; and a decrease in the amount of production of eggplants, and tomatoes in the future. The results can be valuable for the government, and decision-makers to have a suitable plan for crop productions.
MULTIPLIER LESS ROM FREEDA BASED DCT

: Discrete cosine transform (DCT) is a widely used tool in image and video compression applications. Recently, the high-throughput DCT designs have been adopted to fit the requirements of real-time application. Operating the shifting and addition in parallel, an optimized adder tree (OAT) is proposed to deal with the truncation errors and to achieve low-error and high-speed discrete cosine transform (DCT) design. Instead of the 12 bits used in previous works, 9-bit Distributed Arithmetic was proposed. DA-based DCT design with an optimized adder tree (OAT) is the proposed architecture in which, OAT operates shifting and addition in parallel by unrolling all the words required to be computed. Furthermore, the Error-Compensated Circuit alleviates the truncation error for high accuracy design. Based on low-error OAT, the DA-precision in this work is chosen to be 9 bits instead of the traditional 12 bits. Therefore, the hardware size and cost is reduced, and the speed is improved using the proposed OAT.
Evaluation of Illizarov Principle of Infected Nonunion Tibia

Background: Among several treatment options for the management of infected nonunion tibia, Illizarov technique is a newer one.Illizarov technic has many good advantages and features. But in Bangladesh we have very few research-based information regarding the effectiveness and outcomes applyingIllizarov principle in treatinginfected nonunion tibia. Aim of the study: The aim of this study was to evaluate the effectiveness and outcomes Illizarov principle in treating infected nonunion tibia. Methods: This prospective observational study was conducted in the Department of Orthopedics, Holy Family Red Crescent Hospital Dhaka Bangladesh during the period from January 2018 to December 2019. In total 27 patients with infected nonunion tibia were selected as the study population. Illizarov technic was applied for all of the patients. Before starting data collectionproper written consentsfrom all the participants were taken. A pre-designed semi-structured questioner was used in collecting necessary patient data. All data were processed, analyzed and disseminated by MS Office and SPSS version 20.0 as per need. Results: In this study, as postoperative complications, local pain with motion, local oedema, painful tenting of skin and pin tract infection were found in 3.705, 7.41%, 14.81% and 18.51% participants respectively. There was not a single case of deep infection or unacceptable malunion or non-union. As the final outcomes of this technic as per the Karlstrom and Olerud criteria, the highest 59% patients got ‘excellent’ result. Then 30%, 7% and the rest 4% patients got ‘good’, ‘fair’ and ‘poor’ result respectively. Conclusion: For the management of infected nonunion tibia,Illizarov technic opened a new era. Considering the god features of this technic like less blood loss, lower complication rate, shorter duration of hospital staying and prompt healing physicians can take this principle as the method of choice in treating infected nonunion tibia.
CMAR_A_283299 937..951

Accurate staging is critical for treatment planning and prognosis in men with prostate Cancer. Prostate magnetic imaging resonance (MRI) may aid in the staging evaluation by verifying organ-confined status, assessing the status of the pelvic lymph nodes, and establishing the local extent of the tumor in patients being considered for therapy. MRI has a high specificity for diagnosing extracapsular extension, and therefore may impact the decision to perform nerve sparing prostatectomy, along with seminal vesicle invasion and lymph node metastases; however, its sensitivity remains limited. Current guidelines vary significantly regarding endorsing the use of MRI for staging locoregional disease. For high-risk prostate cancer, most guidelines recommend cross sectional imaging, including MRI, to evaluate for more extensive disease that may merit change in radiation field, extended androgen deprivation therapy, or guiding surgical planning. Although MRI offers reasonable performance characteristics to evaluate bone metastases, guidelines continue to support the use of bone scintigraphy. Emerging imaging technologies, including coupling positron emission tomography (PET) with MRI, have the potential to improve the accuracy of prostate cancer staging with the use of novel radiotracers.
State-Owned Economic Enterprise Reform in Myanmar: The Case of Natural Resource Enterprises

This report has identified a number of challenges associated with SEE governance in Myanmar, including revenue retention rules, management of Other Account balances, transparency, and budgeting and oversight. Furthermore, we have detected a number of specific risks to natural resource SEE profitability, specifically at MOGE and MGE. Here we provide recommendations on areas for reform and discuss what policy changes Myanmar officials could consider to address these risks and challenges. We also suggest a draft timeline on implementation of reforms.
Elucidation and tracking of charge variants in antibodies: combining ease-of-use with gain in information

A variety of modifications can lead to differences in the surface charge of antibodies such as sialylation, deamidation, oxidation, glycation, C-terminal lysine, etc. In the case of protein therapeutics, the charge heterogeneity profile needs to be characterized and monitored as it has a potential impact on a product’s safety and/or efficacy. CEX has been widely adopted to obtain this information in development, but also in production and lot release. However, conventional CEX methods utilize non-volatile buffer systems, which are not compatible with mass spectrometry (MS). Lengthy offline sample collection and preparation was required to clarify peak identity by subsequent MS-based detection. With recent advances, coupling CEX separation with high resolution MS can be achieved, allowing for separation and identification of charged variants simultaneously. Nevertheless, monitoring complex charge variant profiles across multiple samples in an easy fashion remains a challenge. The emergence of multiple attribute methodologies (MAM) including software approaches, especially based on intact level, can be a solution. Here, a liability study focusing on the charge heterogeneity profile (Figure 1) via CEX in combination with the SCIEX X500B QTOF System is demonstrated. The SCIEX flexible solution for MAM within SCIEX OS Software 1.7 is employed to track the changes utilizing intact reconstructed data for each charge variant.
Bioelectricity production of PMFC using Lobelia Queen Cardinalis in individual and shared soil configurations

Plant Microbial Fuel Cell (PMFC) creates electricity from oxidation of root exudates by microbia anaerobic digestion, and reduction of dioxygen to water. In this study, Lobelia Queen Cardinalis was used as a plant model to investigate the impact of ionic connection between stacked Plant microbial fuel cell (shared soil). 10mm thickness carbon felt woven with stainless steel wire was used for both anode and cathode, and soil was a mix of potting soil and ground from pond banks (30\%-70\% weight, respectively). Independent performances did not show any difference between individual and shared soil PMFCs. Stacking independent PMFC in series sums both open circuit potential (OCP) and internal resistance, while stacking in parallel sums current, keeping open circuit potential to the mean of the OCPs. Although series stacking seems to output best performances, this configuration may cause voltage reversal in one PMFC when current is strong, leading to biofilm damage, so stacking in parallel is recommended.
Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes

There is an increasing expectation that advanced, computationally expensive machine learning (ML) techniques, when applied to large population‐wide neuroimaging datasets, will help to uncover key differences in the human brain in health and disease. We take a comprehensive approach to explore how multiple aspects of brain structural connectivity can predict sex, age, general cognitive function and general psychopathology, testing different ML algorithms from deep learning (DL) model (BrainNetCNN) to classical ML methods. We modelled N = 8183 structural connectomes from UK Biobank using six different structural network weightings obtained from diffusion MRI. Streamline count generally provided the highest prediction accuracies in all prediction tasks. DL did not improve on prediction accuracies from simpler linear models. Further, high correlations between gradient attribution coefficients from DL and model coefficients from linear models suggested the models ranked the importance of features in similar ways, which indirectly suggested the similarity in models' strategies for making predictive decision to some extent. This highlights that model complexity is unlikely to improve detection of associations between structural connectomes and complex phenotypes with the current sample size.