Miracle-dz/UniFAR-FTUs huggingface dataset:
Meta-analytic Examination of a Suppressor Effect on Subjective Well-Being and Job Performance Relationship

This paper presents a meta-analytic study of the relationship between overall subjective well-being (SWB), cognitive SWB, affective SWB, and job performance ratings. The study examined the moderator effect of the source of job performance measure (self-report vs. supervisory ratings). The database consists of 34 independent samples (n = 5,352) using supervisory performance ratings and 38 independent samples (n = 12,086) using self-reported of job performance. These samples were located through electronic and manual searches. The results indicated that, on average, the correlation for SWBsupervisory ratings (ρ = .35) was slightly larger than for SWB-self-reported performance (ρ = .33). The correlation of affective SWB was much higher with supervisory ratings (ρ = .49) than with self-reported performance (ρ = .30). A suppressor effect of cognitive SWB was found for the prediction of supervisory ratings. Finally, we discuss the implications for the theory and the practice of SWB at work and suggest new research avenues. Estudio metaanalítico de un efecto supresor en la relación entre el bienestar subjetivo y el desempeño en el trabajo
PCA-based classification using airborne hyperspectral radiance data, a case study: Mount Horshan Mediterranean forest

Abstract Atmospheric correction (ATC) of radiance image data is a preliminary and necessary procedure to reach a coherent unsupervised classification. Though ATC results in removal of noise artefacts related to path radiance, loss of some data is inherent by the process. The unsupervised principal component analysis-based classification (PCABC) was harnessed in this paper using radiance data that bypass the ATC protocol. Being primarily based on the variability of the input hyperspectral remote sensing (HRS) image regardless of its physical attributes, it was assumed that PCABC can be applied to radiance HRS image just as already shown on reflectance domain. To test this assumption, PCABC was tested on a radiance HRS image of Specim’s AisaFENIX taken over the Mediterranean forest of Mount Horshan, Israel. With no application of ATC or noise reduction, while tested unsupervised classification methods were insufficient, PCABC was able to classify four different plant species with an overall accuracy of 68%.
A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data

Anomaly detection has gained considerable attention in the past couple of years. Emerging technologies, such as the Internet of Things (IoT), are known to be among the most critical sources of data streams that produce massive amounts of data continuously from numerous applications. Examining these collected data to detect suspicious events can reduce functional threats and avoid unseen issues that cause downtime in the applications. Due to the dynamic nature of the data stream characteristics, many unresolved problems persist. In the existing literature, methods have been designed and developed to evaluate certain anomalous behaviors in IoT data stream sources. However, there is a lack of comprehensive studies that discuss all the aspects of IoT data processing. Thus, this paper attempts to fill this gap by providing a complete image of various state-of-the-art techniques on the major problems and core challenges in IoT data. The nature of data, anomaly types, learning mode, window model, datasets, and evaluation criteria are also presented. Research challenges related to data evolving, feature-evolving, windowing, ensemble approaches, nature of input data, data complexity and noise, parameters selection, data visualizations, heterogeneity of data, accuracy, and large-scale and high-dimensional data are investigated. Finally, the challenges that require substantial research efforts and future directions are summarized.
Global component analysis of errors in three satellite-only global precipitation estimates

Abstract. Revealing the error components of satellite-only precipitation products (SPPs) can help algorithm developers and end-users understand their error features and improve retrieval algorithms. Here, two error decomposition schemes are employed to explore the error components of the IMERG-Late, GSMaP-MVK, and PERSIANN-CCS SPPs over different seasons, rainfall intensities, and topography classes. Global maps of the total bias (total mean squared error) and its three (two) independent components are depicted for the first time. The evaluation results for similar regions are discussed, and it is found that the evaluation results for one region cannot be extended to another similar region. Hit and/or false biases are the major components of the total bias in most overland regions globally. The systematic error contributes less than 20 % of the total error in most areas. Large systematic errors are primarily due to missed precipitation. It is found that the SPPs show different topographic patterns in terms of systematic and random errors. Notably, among the SPPs, GSMaP-MVK shows the strongest topographic dependency of the four bias scores. A novel metric, namely the normalized error component (NEC), is proposed as a means to isolate the impact of topography on the systematic and random errors. Potential methods of improving satellite precipitation retrievals and error adjustment models are discussed.
Comparative Evaluation of the Isoflurane-sparing Effects of Butorphanol and Pentazocine in Buffaloes Undergoing Diaphragmatic Herniorrhaphy

Background: Isoflurane is commonly used as an inhalant anaesthesia in animals. Foreign body syndrome ultimately results into diaphragmatic hernia which is common in buffaloes. Diaphragmatic herniorrhaphy is generally performed under isoflurane anaesthesia. But there are adverse effects of isoflurane like respiratory depression, hypotension, reduced cardiac output and its metabolites cause atmospheric pollution. So, the present study was planned with the hypothesis that inclusion of opioid analgesic in the balanced anaesthesia might have isoflurane sparing effect. Methods: The present study was conducted in 15 female buffaloes which were suffering from diaphragmatic hernia which was diagnosed by radiography and later confirmed on rumenotomy. Animals were randomly divided in three groups - group I (Atropine (0.04 mg/kg) - xylazine (0.05 mg/kg) - propofol (till effect) - isoflurane; AXPI), group II (Atropine - xylazine - butorphanol (0.03 mg/kg) - propofol - isoflurane; AXBPI) and group III (Atropine - xylazine - pentazocine (0.75 mg/kg) - propofol - isoflurane; AXPPI) having five animals in each. Group I was taken as control as no analgesic was used in anaesthetic combination for animals of this group. The total isoflurane vapour delivered (mL) for the total duration of anaesthesia was calculated and the values so obtained were equated to 400 kg body weight and 40 minute duration for each animal for statistical comparison.Result: The Mean volume of isoflurane (ml) utilized for group I (65.58±8.8) was significantly higher than in Group II (38.54±5.7) and Group III (41.01±4.8). There were no significant changes in the haematological and biochemical profile of these buffaloes among three groups.
Red meat consumption and risk of frailty in older women

Red meat is a nutrient‐dense source of protein fundamental for older adults; however, red meat is also high in detrimental components, including saturated fat. It is unclear whether habitual red meat consumption is associated with risk of frailty. This study aimed to examine the prospective association between the consumption of total, unprocessed, and processed red meat and the risk of frailty in older adults.
Micromechanical Fabrication of Resonator Waveguides Integrated Four‐Port Photonic Circuit from Flexible Organic Single Crystals

By using a mechanophotonics approach, three flexible organic microcrystals of (E)‐1‐(4‐(dimethylamino)‐phenyl)iminomethyl‐2‐hydroxyl‐naphthalene (DPIN) are micromanipulated, and dual‐waveguides coupled ring resonator is fabricated. The flexibility of the DPIN crystal arises owing to its spring‐like expansion and contraction of π∙∙∙π stacked molecular chains along the (002) plane. The crystals also act as optical waveguides in straight and bent geometries with very low optical loss coefficients. The fluorescence (FL) spectra of the guided light also display Fabry‐Pérot modes. Precise mechanical manipulation of microcrystals with atomic force microscopy cantilever tip bent a straight crystal waveguide to 360° angle forming a ring‐shaped crystal resonator (diameter ≈58.6 µm). The positioning and integration of two straight parallelly oriented waveguiding crystals (bus and drop) along the opposite edge of the ring resonator forms the first of its kind all‐organic crystal‐based dual‐waveguides coupled ring resonator. The fabricated circuit with four ports selectively guides the produced input FL to through and drop ports via active, passive waveguiding and FL reabsorbance mechanisms.
Dietary carbohydrate intake and new-onset diabetes: A Nationwide Cohort Study in China.

AIM The association of carbohydrate intake with diabetes risk remains uncertain. We aimed to evaluate the prospective associations of the amount and types of carbohydrate intake with new-onset diabetes. METHODS A total of 16,260 non-diabetic participants from the China Health and Nutrition Survey (CHNS) were included. Dietary intake was collected by three consecutive 24-h dietary recalls combined with a household food inventory. Participants with self-reported physician diagnosed diabetes, or fasting plasma glucose ≥7.0 mmol/L or glycated hemoglobin ≥6.5% during the follow-up were defined having new-onset diabetes. RESULTS During a median follow-up of 9 years (158,930 person-years), 1,100 participants developed diabetes. Overall, there was a U-shaped association between percent of energy from carbohydrate intake and new-onset diabetes, with minimal risk at 49-56% of energy from total carbohydrate intake (quartile 2) (P for nonlinearity <0.001). Moreover, there was an L-shaped association between high-quality carbohydrate intake and new-onset diabetes (P for nonlinearity <0.001), and a J-shaped association of low-quality carbohydrate intake with new-onset diabetes (P for nonlinearity <0.001). Furthermore, there was an inverse association between the plant-based low-carbohydrate diet scores for low-quality carbohydrate and new-onset diabetes. However, a reversed J-shaped association was found between the animal-based low-carbohydrate scores for low-quality carbohydrate and new-onset hypertension (P for nonlinearity <0.001). CONCLUSIONS There was a U-shape association between percent of total carbohydrate intake and new-onset diabetes, with the lowest risk at 49-56% carbohydrate intake. Our findings provide some evidence for the intake of high-quality carbohydrate, and the substitution of plant-based products for low-quality carbohydrate for primary prevention of diabetes.
Bridging the gender digital divide: an analysis of existing guidance for gender digital inclusion programmes’ evaluations

Purpose This aim of this paper is to examine the existing gender digital inclusion evaluation guidance and proposes future research recommendations for their evaluation. Despite modern progress in towards gender equality and women’s empowerment movements, women’s access to, use of and benefits from digital technologies remain limited owing to economic, social and cultural obstacles. Addressing the existing gender digital divide is critical in the global efforts towards the United Nations’ Sustainable Development Goals (SDGs). In recent years, there has been a global increase of gender digital inclusion programmes for girls and women; these programmes serve as a mechanism to learn about gender-specific digital needs and inform future digital inclusion efforts. Evaluation reports of gender digital inclusion programmes can produce critical insights into girls’ and women’s learning needs and aspirations, including what works and what does not when engaging girls and women in information and communications technologies. While there are many accounts highlighting the importance of why gender digital inclusion programmes are important, there is limited knowledge on how to evaluate their impact. Design/methodology/approach The thematic analysis suggests three points to consider for the gender digital inclusion programmes evaluation: context-specific understanding of gender digital inclusion programmes; transparency and accountability of the evaluation process and its results; and tensions between evaluation targets and empowerment of evaluation participants. Findings The thematic analysis suggests three points of future focus for this evaluation process: context-specific understanding of gender digital inclusion programmes; transparency and accountability of the evaluation process and its results; and tensions between evaluation targets and empowerment of evaluation participants. Originality/value The authors propose recommendations for gender digital inclusion evaluation practice and areas for future research.
An update in the management of ocular surface squamous neoplasia

ABSTRACT Introduction Management of ocular surface squamous neoplasia (OSSN) has been a matter of debate among ocular oncologists. While surgical excision with tissue biopsy has been the gold standard, topical chemotherapy with agents such as interferon-α2b, 5-fluorouracil, and mitomycin C, as well as less invasive diagnostic modalities, are becoming increasingly popular. Areas covered This report provides a comprehensive review of recent data and addresses the key controversies in the management of OSSN. A MEDLINE database search was performed using the keywords ‘ocular surface squamous neoplasia,’ ‘conjunctival intraepithelial neoplasia,’ ‘conjunctival squamous cell carcinoma,’ ‘corneal intraepithelial neoplasia,’ ‘CIN,’ and ‘OSSN. ’ All resulting articles published in English until December 2020 were then reviewed for pertinent references. Expert opinion Although tissue biopsy remains the gold standard for the diagnosis and management of OSSN, the advent of new and sophisticated imaging modalities is likely to change the approach to OSSN diagnosis for the majority of patients, while the use of topical chemotherapeutic and immunotherapeutic agents may become the mainstay of treatment.
Effect of hook and bait type on catch per unit effort in the Aegean Sea demersal longline fishery

This study aimed to determine the impact of hook and bait type on the catch composition and catch per unit effort. Effects of hook and bait types on catch composition, catch per unit effort (CPUE), length and weight distributions in demersal longline fishery were determined by experimental surveys on demersal longline sets in the Aegean Sea. A total of 12 samplings corresponding to 4800 hook fishing effort were performed between April 2014 and September 2014. Two bait types; sardine (Sardina pilchardus) and grooved razor shell (Solen marginatus) and two hook types; J-hook and C-hook were tested. CPUE values were calculated for each species and assessed between different hook-bait combinations. A total of 623 individuals were captured belonging to 3 families and 9 species. It was found that more than 60% of total catch was captured by grooved razor shell and more than 50% of the total catch was caught with J type hook. J hook was found to be close to significant (p=0.06) and grooved razor shell was found significant (p=0.02) for CPUE. The effect of bait type was found to be more significant than that of hook type for CPUE and length distribution. Hook-bait combination differed according to species and C hook baited with sardine was determined to be the best combination for Sparus aurata as the most targeted fish in the study area. Discard ratio was calculated to be 34% in terms of weight and 42.5% in terms of total number of individuals for pooled data. The condition value (K) of the species ranged from 1.05 to 1.68 and differed according to bait type. Most of the high commercial value species caught with any hook-bait combination experimented within this study are larger than minimum fishing length according to minimum landing size regulations of Turkish fishery and maturity studies.
Risk of Severe Maternal Morbidity After Bariatric Surgery

Supplemental Digital Content is available in the text Objective: We assessed whether bariatric surgery before pregnancy lowers the risk of severe maternal morbidity to a level comparable to no obesity. Summary of Background Data: Obesity is a risk factor for severe maternal morbidity, but the potential for bariatric surgery to reduce the risk has not been studied. Methods: We analyzed a retrospective cohort of 2,412,075 deliveries between 1989 and 2019 in Quebec, Canada. The main exposure measures were bariatric surgery before pregnancy and obesity without bariatric surgery, compared with no obesity. The outcome was severe maternal morbidity, a composite of life-threatening pregnancy complications. We estimated risk ratios (RR) and 95% confidence intervals (CI) for the association between bariatric surgery and severe maternal morbidity, adjusted for maternal characteristics. Results: A total of 2654 deliveries (0.1%) were in women who had bariatric surgery, and 70,041 (29.0 per 1000) were in women who had severe maternal morbidity. Risk of severe maternal morbidity was not significantly elevated for bariatric surgery (RR 1.20; 95% CI 0.98–1.46), but was greater for obesity compared with no obesity (RR 1.60; 95% CI 1.55–1.64). Bariatric surgery was not associated with morbidities such as severe preeclampsia, sepsis, and cardiac complications compared with no obesity, but obesity was associated with elevated risks of these and other severe morbidities. Bariatric surgery was associated, however, with intensive care unit admission, compared with no obesity. Conclusions: Pregnant women with prior bariatric surgery have similar risks as nonobese women for most types of severe maternal morbidity, except for intensive care unit admission.
Gelation and Breakage Behavior of Model Wax–Oil Systems: Rheological Properties and Model Development

Gelation and breakage of model wax–oil systems is investigated using microscopy, densitometry, rheometry, and XRD. Various model waxy oils are prepared, including 1 to 20 wt % (w/w) macrocrystalline wax in dodecane, 1 to 20 wt % microcrystalline wax in dodecane, and 5 wt % macrocrystalline wax in Primol 352. The influence of shear history, thermal history, and fluid composition is ascertained. A novel gel breakage model is introduced which spans the entire mechanical response of wax gels from initial Hookean behavior at low strains to equilibrium slurry flow at the infinite strain limit. The local rheology model will benefit shut-in and restart processes of waxy crude pipelines via application of standard fluid mechanics relationships.
Helmet wearing behavior where people often ride motorcycle in Ethiopia: A cross-sectional study

Background Road traffic accidents are a major global concern that affects all people regardless of their age, sex, wealth, and ethnicity. Injuries and deaths due to motorcycles are increasing, especially in developing countries. Wearing helmet is effective in reducing deaths and injuries caused by motorcycle accidents. Objectives To assess the magnitude of helmet wearing behavior and its determinants among motorcycle riders in Sawula and Bulky towns, Gofa zone, Southern Ethiopia. Methods A community-based cross-sectional study was conducted from April, 15 to May 25, 2020, among 422 motorcycle drivers in Sawula and Bulky towns, where people often drive motorcycles. A stratified sampling technique was used to recruit sampled drivers in a face-to-face interview. Data were entered into EPI-data version 3.1 software and exported to SPSS version 23 software to manage analysis. Descriptive analyses such as frequency, percentage, mean and standard deviation were performed as necessary. Logistic regression models were fitted to identify the predictors of helmet wearing behavior. Adjusted odds ratios (AOR) with 95% confidence interval (CI) were used to determine the magnitude and strength of the association. Results A total of 403 motorcycle drivers participated in the study which gave a 95.5% response rate. Among 403 motorcycle riders, only 12.4% (95% CI, 9.2 to 15.6%) wore helmets while driving motorcycles. Having license [AOR 3.51(95% C.I 1.56–7.89)], driving distance >10Km [AOR 2.53(95% C.I 1.08–5.91)], History of exposure to accident [AOR 2.71(95% C.I 1.32–5.55)], driving experience of ≥10 years [AOR 2.98 (95% C.I 1.25–7.09)] and high perceived susceptibility to accident [AOR 3.10(95% C.I 1.29–7.46)] had statistically significant association with helmet wearing compared to their counterparts. Conclusions This study found that helmet-wearing behavior was very low. Having a license, driving distance, exposure to accidents, driving experience, and accident risk perception were determinants of helmet wearing behavior. These determinants imply the need for interventions that focus on behavioral change communications such as awareness creation campaigns and mandatory helmet wearing laws.
Quantifying contact lens-related changes in keratoconus corneal topographic indices: an updated Pentacam Scheimpflug imaging analysis

Purpose: Slowing ectasia progression is critical for maintaining visual potential in keratoconus (KC), for which various therapeutic approaches have been implemented. A Pentacam Scheimpflug imaging device was used to quantify contact lens (CL)-related changes in keratoconus corneal topographic indices. Methods: Thirty KC patients (group 1; 60 eyes) were using one of the three CL (rigid gas-permeable CL (RGPCL)-10, hybrid CL (HCL)-10, and scleral CL (SCL)-10 patients). A control group included 30 KC patients (group 2; 60 eyes) not using CLs due to intolerance or inappropriateness. The Pentacam® HR Scheimpflug imaging device was used to measure topographic indices such as Km anterior, Km posterior, K max, corneal thickness (CT, corneal central, apex, and thinnest), corneal volume (CV), anterior chamber volume (ACV), and anterior chamber depth (ACD) at baseline, 3rd, 6th, and 12th months. Results: The mean ages for groups 1 and 2 were 32±10 and 31±09 years, respectively. Group 1 had a lower but statistically significant change in K max than group 2 (p<0.038). Also, group 1 had a minor but non-significant decrease in anterior and posterior keratometry values compared to group 2 (pKm ant. right/ left eye = 0.063/ 0.065 and 0.087/ 0.094, respectively). RGPCL users had significant changes in central CT, thinnest CT and ACD (p<0.041). SCL users had more stable changes than other CLs for the thinnest CT along with significant changes in K max, pachy apex and ACV (p<0.036). HCL users had significantly higher K max stability (p<0.039). Conclusion: Regular use of appropriate therapeutic CLs may help to stabilize corneal deformity, thereby slowing changes in corneal topographic indices in KC.
Solubility of α-Calcium Sulfate Hemihydrate in Ca–Mg–K Chloride Salt Solution at (353.0 to 371.0) K

The solubility of α-calcium sulfate hemihydrate in CaCl2–MgCl2–KCl solution at temperatures from (353.0 to 371.0) K was measured by the dissolution equilibrium method. The investigated concentration ranges of CaCl2, MgCl2, and KCl were up to (6.01, 4.50, and 0.27) m, respectively. The calcium ion demonstrates the common ion effect, which results in the decreased solubility of α-calcium sulfate hemihydrate in CaCl2 solution. The solubility of α-calcium sulfate hemihydrate is augmented due to the association effect caused by the formation of stable MgSO40 in MgCl2 solution. Also it is shown that potassium chloride can increase the solubility of α-calcium sulfate hemihydrate slightly, which may be attributed to the salt effect. In the mixed salt solution, the solubility of α-calcium sulfate hemihydrate decreases because of the dominating action of the common ion effect. Compared with the solubility of calcium sulfate dihydrate in the mixed solution, the solubility of α-calcium sulfate hemihydrate is lower th.