Miracle-dz/UniFAR-FTUs huggingface dataset:
Face-Down Posture versus Non-Face-Down Posture following Large Idiopathic Macular Hole Surgery: A Systemic Review and Meta-Analysis

Evidence regarding the effect of a face-down posture (FDP) for large idiopathic macular hole (IMH) is inconsistent. We conducted a systematic review and meta-analysis to determine whether a postoperative FDP is required for the treatment of large IMH. Eligible randomized controlled trials published before September 2021 were retrieved from the Medline, Embase, and Cochrane Library databases. The efficacy outcome was the IMH closure rate and the visual acuity improvement rate. A meta-analysis was performed using a random effects model. The “Grading of Recommendations Assessment, Development, and Evaluation” approach was implemented, and the numbers needed-to-treat (NNTs) were calculated. Seven studies comprising 640 patients were included. We performed a predefined subgroup analysis of IMH size using a cut-off point of 400 µm. Compared with non-FDP, a significant effect of FDP was found in the IMH > 400 µm group (OR = 3.34; 95% CI = 1.57–7.14; trial sequential analysis-adjusted CI = 1.20–11.58; NNTs = 7.9). After stratifying by the posturing periods, the beneficial effect of FDP lasting at least five days, but not three days was observed for large IMH. Maintaining a FDP for at least five days postoperatively is an effective strategy (certainty of evidence: “moderate”) for treating large IMH.
Colour, emotion, and behavioral intentions in city hotel guestrooms

This study explores the effects of colours on people's emotional states and behavioral intentions in a real-world city hotel guestroom. For this study, blue, yellow, and gray were selected. According to literature, when it is desired to make a change on colour scheme in hotel rooms, the alteration should be applied to secondary colour while keeping the dominant colour constant. Thus, in this study, the alterations of colour scheme are only applied to bedspread and pillows fabrics. As results indicate, blue and yellow are associated with pleasure and arousal, whereas the gray colour evokes displeasure and no arousal. Yellow and blue are found to cause approach behavior in terms of customer loyalty, while the colour gray is found to cause avoidance behavior in city hotel guestrooms. There is a positive relationship between both pleasure and approach behavior and between arousal and approach behavior. The results can be useful for interior architects, designers, and hoteliers who emphasize touching guests' emotions and increasing approach behavior by creating favorable colour schemes. This study combines colour, emotion, and behavioral intentions in hospitality context which plays an essential role in filling gap in the literature about the effects of colour in a hospitality context.
The Alliance

The MRTA renews its attacks on symbols of state power and the Garcia administration in 1986-87. Alberto Galvez Olaechea, leader of the leftist MIR, forms an alliance with Polay’s MRTA, folding his movement into the MRTA. Nestor Cerpa continues to lead MRTA actions on his former textile factory, Cromotex
Assessment of Storm‐Scale Real Time Assimilation of GOES‐16 GLM Lightning‐Derived Water Vapor Mass on Short Term Precipitation Forecasts During the 2020 Spring Forecast Experiment

This study assesses the impact of assimilating pseudo‐observations for water vapor mass derived from the Geostationary Operational Environmental Satellites GOES‐16 lightning data on short‐term quantitative precipitation forecasts (QPFs) over the contiguous United States (CONUS), with an emphasis given to regions characterized by an overall poor radar coverage. The GOES‐16/17 provide nearly uniform and high temporal resolution total lightning observations over most of the Americas. To leverage this information for convective scale weather forecasts, a three‐dimensional variational data assimilation (DA) package developed by the National Severe Storm Laboratory was employed to assimilate these data. To mimic operational settings, the Weather Research and Forecasting Model configuration used in NOAA Global Systems Laboratory's High‐Resolution Rapid Refresh Model version 4 was utilized. During the 2020 NOAA Hazardous Weather Testbed Spring Forecasting Experiment, four experiments were run in real time during a 29‐day period over CONUS and surrounding territories to assess the added value of GOES‐16 lightning over conventional radar data. Overall, the lightning DA (LDA) showed benefit in improving QPFs up to 6 hr, with the best improvements seen during the first 3 hr. Owing to notably larger lightning activity over the eastern CONUS, the most noticeable impacts from the LDA were seen there. Case‐by‐case analysis revealed that positive impacts from the LDA were seen over areas characterized by both good (eastern two thirds of CONUS) and poor radar coverage (western one third of CONUS). Highlighting the inherent difficulties in developing an optimal observation operator based on moisture for LDA applications, the GLM‐based DA experiments systematically overestimated rainfall over the eastern two thirds of CONUS while underestimating it over the western one third of CONUS.
Time to Death and Its Predictors Among Neonates Admitted With Neonatal Sepsis at Public Referral Hospitals of Bahir Dar City, Northwest Ethiopia, 2021: Retrospective Cohort Study

Background: In spite of recent advances in health care, neonatal sepsis is still one of the major causes of morbidity and mortality in neonates and is an ongoing major global public health challenge. Its incidence of mortality varies from health institution to health institution and within the same health institution at varied times and depends on predisposing factors. So the aim of this study was to determine the time to death and its predictors among neonates admitted with neonatal sepsis. Methods: An institutional based retrospective cohort study was conducted among 500 randomly selected neonatal charts. The data was entered using Epi data version 3.1, and exported to and analyzed at STATA version 14. Bivariable and multivariable cox regression analysis were conducted to identify predictors of mortality. Association was summarized using adjusted hazard ratio (AHR) and statistical significances were declared at 95% CI and P-value <0.05. Proportionality assumption was tested by global test based on Schoenfeld residuals analysis. Results: During the follow up time, 58 (11.6%) neonates were died with neonatal sepsis while the rest were censored. In this study the overall death incidence rate was 20.5 per 1000 neonate days. Comorbidity (AHR: 1.81, 95%, CI: 1.04, 3.17), late initiation of exclusive breast feeding over one hour (AHR: 2.29, 95%CI: 1.13,4.63), history of intra-partum fever(AHR: 7.37 95%CI: 2.28,23.79), Birth weight (AHR: 3.37, 95%CI: 1.54, 7.34) and place of delivery(AHR: 3.83, 95%, CI: 1.24, 11.83) were found potential independent predictors of mortality among neonates with neonatal sepsis.Conclusion: In this study, high death incidence rate was observed. The mean time to death among neonates was 4.41 days. With regard to predictors: birth weight, comorbidity, late initiation of exclusive breast feeding over one hour, history of intra partum fever and place of delivery were significant predictors of mortality among neonates admitted with neonatal sepsis.
Exploring ERP Distortions to Reduce the Encoding Time of 360 Videos

The encoding of 360 videos presents many challenges. These spherical videos require a planar projection stage prior to encoding, and there are no studies on how projection interferes with the encoder decisions. Also, due to the increased resolution, encoding 360 videos is computationally costlier than conventional videos. In this work, we perform an extensive evaluation of how the texture distortions caused by the projection interfere with the encoder’s behavior and exploit these interferences to propose multiple fast algorithms to accelerate the encoding. Experimental results show that the proposed algorithms reduce encoding time significantly with minor coding efficiency penalties, while the evaluations expose novel insights into the encoder behavior. The reached results are published in important events and journals.
Joint Online Route Planning and Resource Optimization for Multitarget Tracking in Airborne Radar Systems

Reasonable route planning and resource allocation strategy in the airborne radar systems (ARS), can sufficiently utilize the limited resources and promote the multitarget tracking (MTT) performance. However, using separately the route planning and resource optimization method cannot take full advantage of the airborne platform. Considering this issue, we propose a joint online route planning and resource optimization strategy in the ARS to improve the system capability for MTT. First, a kinematic model of the ARS, including the mathematical expression between the radar states and the system control parameters, is introduced, which integrates the route planning to the radar scheduling scheme. Next, the posterior Cramér–Rao lower bound about route planning and resource optimization variables for the tracking targets is derived. Then, a scaled-based utility function is established to quantify the MTT performance. Hereafter, a nonconvex problem is formulated by minimizing the utility function with route and resource constraints, and then a efficient three-stage partition-based solution is proposed. Finally, simulation experiments demonstrate the effectiveness of the proposed algorithm. Furthermore, over the traditional benchmark algorithm, the tracking performance of the proposed approach improves 30.44%.
Overview of the Taxometric Method

Taxometric analysis is often used in clinical psychological research to determine whether a construct of interest is categorical or dimensional in nature. This chapter reviews the method and provides empirical guidelines for performing and interpreting results of taxometric analysis. Doing so can be quite subjective, and we describe recent advances for reducing this subjectivity. We describe a software package (RTaxometrics) for taxometric analysis and demonstrate its use with illustrative categorical and dimensional data sets. These analyses show how to determine whether data sets are appropriate for taxometric analysis, how to perform various taxometric procedures, and how to interpret the results.
Pandemic Stress and Its Correlates among Pregnant Women during the Second Wave of COVID-19 in Poland

Background: The ongoing COVID-19 pandemic has created numerous stressful conditions, especially for vulnerable populations such as pregnant women. Pandemic-related pregnancy stress consists of two dimensions: stress associated with feeling unprepared for birth due to the pandemic (Preparedness Stress), and stress related to fears of perinatal COVID-19 infection (Perinatal Infection Stress). The purpose of our study was to elucidate the association between various factors—sociodemographic, obstetric, pandemic-related, and situational—and pandemic stress in its two dimensions during the second wave of the COVID-19 pandemic in Polish pregnant women. Methods: A cross-sectional study with a total of 1119 pregnant women recruited during the second wave of the COVID-19 pandemic in Poland (between November 2020 and January 2021). Participants were recruited via social media to complete an online study questionnaire that included sociodemographic, obstetric, situational, and COVID-19 pandemic factors, as well as the Pandemic-Related Pregnancy Stress Scale (PREPS). Results: Nearly 38.5% of participants reported high Preparedness Stress; 26% reported high Perinatal Infection Stress. Multivariate analyses indicated that lack of COVID-19 diagnosis, higher compliance with safety rules and restrictions, and limited access to outdoor space were independently associated with moderate to severe levels of Infection Stress. Current emotional or psychiatric problems, nulliparity, limited access to outdoor space, and alterations to obstetric visits were independently associated with moderate to severe Preparedness Stress. Conclusion: Study findings suggest that particular attention should be focused on the groups of pregnant women who are most vulnerable to pandemic-related stress and therefore may be more prone to adverse outcomes associated with prenatal stress.
Successful Anatomical Access for Surgical Removing of the Distal Fracture of Splint Bones in Thoroughbred Horses (Case Study)

Poor performance in athletic horses due to musculoskeletal affections is very common in Libya. Two mature thoroughbred horses suffering from poor performance and history of moderate degree forelimb lameness were admitted to the Aswany Private Equine clinic in Tripoli, Libya. The study is aiming for presenting a simple, time effective, cost effective surgical procedure to treat distal simple splint bone fracture in thoroughbred horses. Horses were examined thoroughly for the common muscle, hoof, and tendons affections. A progressed unilateral left forelimb swelling involving the lateral distal part of the fourth metacarpal bones was noticed. Three radiographs were taken to each horse including latero-medial, dorsolateral-palmaromedial, and palmarolateral-dorsomedial views to assess both splint bones. The radiographs showed that there is a complete fracture involving the distal extremity (button) of the fourth metacarpal bones. Surgical excisions of the fractured part of the splint bones have been decided to treat these horses. To precisely locate the site of the bone fragments, 1.5 mm stainless steel wires were placed over the distal part of splint prior to taking the radiographs. The surgical sites were aseptically prepared, and the horses were then sedated via intravenous injection of xylazine at a dose rate of 1 mg/kg body weight. The site of surgical incision was infiltrated with 2% lidocaine. The bone fragments were then removed after performing the surgical incision. The sharp end at the distal end of the proximal part of the splint bone was then smoothening with a scissor. The surgical incisions were then routinely closed and the post-operative care and radiographs were taken. The surgical incision made complete healing within two weeks. Both horses were followed up for up to three years post-operation, and they did well compared to what has been done in other studies. We concluded that the surgical technique used to treat the two horses with splint bone fracture enrolled in the current study is a simple and effective procedure.
Optimizing Reconfigurable Manufacturing Systems for Fluctuating Production Volumes: A Simulation-Based Multi-Objective Approach

In today’s global and volatile market, manufacturing enterprises are subjected to intense global competition, increasingly shortened product lifecycles and increased product customization and tailoring while being pressured to maintain a high degree of cost-efficiency. As a consequence, production organizations are required to introduce more new product models and variants into existing production setups, leading to more frequent ramp-up and ramp-down scenarios when transitioning from an outgoing product to a new one. In order to cope with such as challenge, the setup of the production systems needs to shift towards reconfigurable manufacturing systems (RMS), making production capable of changing its function and capacity according to the product and customer demand. Consequently, this study presents a simulation-based multi-objective optimization approach for system re-configuration of multi-part flow lines subjected to scalable capacities, which addresses the assignment of the tasks to workstations and buffer allocation for simultaneously maximizing throughput and minimizing total buffer capacity to cope with fluctuating production volumes. To this extent, the results from the study demonstrate the benefits that decision-makers could gain, particularly when they face trade-off decisions inherent in today’s manufacturing industry by adopting a Simulation-Based Multi-Objective Optimization (SMO) approach.
Learning Multi-Granularity Neural Network Encoding Image Classification Using DCNNs for Easter Africa Community Countries

Remote sensing scene classification is a fundamental responsibility of earth observation, aiming at identifying information granular for land cover classification. The multi-granular land use for multi-source remotely sensed image categories is now a principal task in remote sensing data augmentation and data selection. Understanding image representations are meaningful for the scene classification task. Training deep learning model-based approaches has to do with scene classification and brings about fantastic achievement. At the same time, these high-level approaches are computationally expensive and time–consuming. This paper introduces multi-granularity Neural Network Encoding architecture base on InceptionV3, InceptionReseNetV2, VGG16, and DenseNet201 architecture into remote sensing scene classification. To improve performance and to solve intra-class variation for multi-class scene issues remote sensing dataset. By using pre-trained CNN, activation function and ensemble learning have been adopting. InceptionV3 and VGG16 are used to extract features. InceptionResNetV2 use for fine-tuning, which consists of unfreezing the entre model and retraining the new data with a lower learning rate. The proposed fine-tune whole pre-trained model produces better results of test set up to 97.84 % than features extracted by InceptionResNetV2. Also, we use DCNNs ensemble average and weighted average to achieve better outcomes for 97.36% and 99.10%. In our experiments, we attempted to fine-tune the deep convolutional neural networks (DCNNs) training method for remote sensing scene classification on two public datasets UCM, SIRI-WHU, and one dataset I collected through the google earth engine from East Africa Community Countries (EACC) within nine classes within total 2112 labeled images. The results indicate that our proposed fine-tuning of the pre-trained model with few epochs and less computational time increases accuracy.
Dividend persistence and earnings management in emerging markets

ABSTRACT We investigate the relationship between dividend persistence and earnings management, considering the levels of economic performance and risk in emerging countries. Earnings are important for valuation models and dividends have evidence that suggests greater persistence, however, there is no evidence on the effect of earnings management on dividend persistence in emerging countries. Despite the substantial growth of emerging markets in the last decades, the degree of informational efficiency and the legal protection for investors is inferior to developed countries, and this is a potential risk for investors who prefer to receive dividends as a way of avoiding expropriation by managers who can manage the firms’ earnings. We show that the reduction in macroeconomic volatility and the uncertainties concerning a country’s performance and risk improve dividend persistence. Thus, even in the face of earnings manipulations, dividends are better inputs for valuation models. Using the persistence models of Dechow and Schrand (2004) and Lintner (1956), we interact the dividend persistence with firms’ earnings management and some indicators of a country’s economic performance and risk for 7,536 publicly traded firms from 20 countries, included in the Morgan Stanley Capital International (MSCI) Emerging Markets Index from 2000 to 2016. We find that in emerging countries dividends are more persistent than earnings. If a company pays United States dollars (USD) 1.00 in dividends, then, on average, US$ 0.89 will persist into next year’s dividends (for earnings, only US$ 0.76 persists). We find that, in addition to the past dividends and current earnings presented by Lintner (1956), current dividends are a function of earnings management volume because this event reduces dividend persistence.
The Implications of Executive Functioning on Community Adversity and Violence and Mental Health Outcomes

Exposure to community adversities and violence can be associated with a cascade of neurocognitive, mental health, and behavioral challenges among urban adolescents. Influenced by the bio-ecological framework, this study examines if problems with executive functioning (EF) exacerbate the relation between exposure to community adversity and violence and internalizing symptoms (e.g., depression, anxiety, and somatic symptoms) and externalizing behaviors (e.g., hyperactivity and attention problems) for males and females. Participants included 300 primarily African American and Latine adolescents (Mage = 15.42, SD = 1.21; 51% female) who reside in 30 census tracts from urban neighborhoods historically and systematically divested from, located on the West and South sides of Chicago. Pending the radical reconfiguration of power, systems, and community to fundamentally challenge the systemic policies and processes that contribute to these adverse experiences, findings from this study provide important implications for clinical practice and school-based interventions that could support adolescents’ psychological, behavioral, and emotional needs.
PENGARUH KOMUNIKASI PEMASARAN TERPADU DAN KOMITMEN TERHADAP LOYALITAS NASABAH

This study aims to determine the effect of integrated marketing communication and commitment to customer loyalty deposits of PT Bank DBS Indonesia. The research method used is quantitative descriptive research. Data collection techniques with questionnaires. Population and sample in the study amounted to 112 respondents. The results of the discussion are explained that shows that integrated marketing communication and commitment have a positive and significant influence on customer loyalty deposits of PT Bank DBS Indonesia. The magnitude of the determination coefficient Adjusted R Square of 0.266 means that the independent variable consisting of integrated marketing communication and commitment can explain customer loyalty by 26.6% and the remaining 73.4% explained other variables not included in the research model, such as product quality, brand image , quality of service and so on.
Onion (Allium Cepa) and Garlic (Allium Sativa L,) Oil effects on Blood Glucose Levels and Body Weight of Local Quails in Erbil Province

The current study was conducted on 38 week old of local quails. The quails were divided into four groups, randomly allocated to four dietary treatments. The diet of the first group was supplemented with 2 ml/kg of onion oils, diet of the second group supplemented with 2 ml/kg of garlic oils, the third group was supplemented with a mix of (1 ml/kg of onion oils and 1 ml/kg garlic oils), and the fourth group designed as a control with no oil supplementations. Results show that the blood glucose level, and body weight was significantly reduced by onion oil supplementation (2 ml/kg) compared to control group Whereas quails with Garlic oils (2 ml/kg) and a mixture of onion and garlic oil (1 ml/Kg of garlic and 1 ml/kg of onion oils) supplementation exhibit no significant differences in experimented parameters compared to control group. Overall, our data presented that onion can serve as good diet additive for lowering blood sugar in diabetics and decreasing body weights, It is suggested that the oils of onion protect against risks like heart failure. The varied results about hypoglycemic role of garlic oils Demanding scientists to perform further works on the garlic extract.