Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach

The outbreak of COVID-19 is a global problem today, and, to reduce infectious cases and increase recovered cases, it is relevant to estimate the future movement and pattern of the disease. To identify the hotspot for COVID-19 in Bangladesh, we performed a cluster analysis based on the hierarchical k-means approach. A well-known epidemiological model named “susceptible-infectious-recovered (SIR)” and an additive regression model named “Facebook PROPHET Procedure” were used to predict the future direction of COVID-19 using data from IEDCR. Here we compare the results of the optimized SIR model and a well-known machine learning algorithm (PROPHET algorithm) for the forecasting trend of the COVID-19 pandemic. The result of the cluster analysis demonstrates that Dhaka city is now a hotspot for the COVID-19 pandemic. The basic reproduction ratio value was 2.1, which indicates that the infection rate would be greater than the recovery rate. In terms of the SIR model, the result showed that the virus might be slightly under control only after August 2022. Furthermore, the PROPHET algorithm observed an altered result from SIR, implying that all confirmed, death, and recovered cases in Bangladesh are increasing on a daily basis. As a result, it appears that the PROPHET algorithm is appropriate for pandemic data with a growing trend. Based on the findings, the study recommended that the pandemic is not under control and ensured that if Bangladesh continues the current pattern of infectious rate, the spread of the pandemic in Bangladesh next year will increase.
Bimetallic CoCu-ZIF material for efficient visible light photocatalytic fuel denitrification

Effective design of photocatalysts is an effective method to improve the separation of photogenerated carriers, which improves the photocatalytic performance of photocatalysts. In this work, CoCu-ZIF materials with bimetallic structure were synthesized at room temperature for efficient photocatalytic fuel denitrification. The properties and structures of CoCu-ZIF photocatalysts can be effectively controlled by adjusting the molar ratio of cobalt to copper. The as-prepared CoCu-ZIF photocatalysts were characterized by XRD, FT-IR, SEM, TEM, UV-vis, Raman, BET and other techniques. The photoactivity of CoCu-ZIF for the denitrogenation of NCCs has been evaluated using visible light (λ ≥ 420 nm). The results indicate that Co8Cu2-ZIF photocatalysts exhibit excellent photocatalytic properties, in which the denitrification rate almost reached 80% after 4 hours under visible light irradiation, which is higher than the degradation ability of ZIF-67 (38%). Transient photoelectrochemical experiments and EIS Nyquist plots indicate that Co8Cu2-ZIF with unique structure efficiently improves the separation and transfer of photogenerated electron–hole pairs. Moreover, a possible reaction mechanism was proposed by LC-MS analysis.
Determinants of hyperemesis gravidarum among pregnant women attending health care service in public hospitals of Southern Ethiopia

Background Hyperemesis gravidarum is severe nausea and excessive vomiting, starting between 4 and 6 gestational weeks, peak at between 8 and 12 weeks and usually improve and subside by 20 weeks of pregnancy. Identifying the determinants of hyperemesis gravidarum has a particular importance for early detection and intervention to reduce the health, psychosocial and economic impact. In Ethiopia there is low information on determinants of hyperemesis gravidarum. Methods Institution based unmatched case-control study design was conducted from April 12- June 12, 2021. A structured face-to-face interviewer administered questionnaire and checklist for document review were used to collect the data from 360 study participants (120 cases and 240 controls). The data were collected by KoBocollect 1.3, and then exported to statistical package for social science version 25 for further analysis. Both bi-variable and multivariable logistic regression analysis were done to identify the determinants and a p-value < 0.05 with a 95% confidence level was used to declare statistical significance. Result Being an urban dweller (AOR = 2.1, 95% CI: 1.01, 4.34), having polygamous husband (AOR = 2.92, 95% CI: 1.27, 6.68), having history asthma/ other respiratory tract infections (AOR = 3.56, 95% CI: 1.43, 8.82), saturated fat intake (AOR = 4.06 95% CI: 1.98, 8.3), no intake of ginger (AOR = 3.04 95% CI: 1.14, 8.09), and inadequate intake of vitamin B rich foods (2.2, 95% CI: 1.14–4.2) were the determinants of hyperemesis gravidarum. Conclusion This study revealed that, urban residence, having polygamous husband, history of asthma/other respiratory tract infections, intake of saturated fat, no intake of ginger, inadequate intake of vitamin B reach foods were found to be independent determinants of hyperemesis gravidarum. It is better if healthcare providers and government authorities exert continual effort to give health education and counselling service concerning to dietary practice and asthma attacks. It is advisable if pregnant women adhere to healthy diets and limit intake of saturated fats and also husband and nearby relatives give care and support for pregnant women.
Back disorders and whole-body vibration at work

This thesis describes the relation between occupational exposure to whole body vibration and the incidence and prevalence of disorders of the spine and the back. It focuses on sickness absence and permanente work disability of crane operators, tractor drivers, helicopter pilots, forklift truck-drivers and drivers of wheelloaders. The results of these studies were combined with the results published in the literature in a meta analysis.
Perceived desirability and firm’s intention to adopt business to business e-commerce: A test of second-order construct

The adoption of Business to Business E-Commerce (B2B EC) is one of the issues in Information System domain that attract considerable investigations.In view of the complexity of dealing with B2B EC, researchers acknowledge the need to incorporate multiple theoretical causalities to better understand the issue. In line with the advancement of analytical tools nowadays, researchers are now capable to model some theoretical causalities in high level of abstraction which in result reduce the complexity of suggested frameworks. Thus, this study employs Hierarchical Component Model to analyze the Perceived Desirability in the context of B2B EC. The Perceived Desirability is a construct derived from innovation characteristics as proposed by Diffusion of Innovation Theory namely; Perceived Relative Advantage, Perceived Compatibility, and Perceived Complexity.The Perceived Desirability is then proposed to have a direct effect on firms’ intention to adopt B2B EC. Authors tested the proposed model using a data set of 239 marketing managers and purchasing managers in Jordan. The findings confirm conceptual property of Perceived Desirability of B2B EC matches with reflective-formative type of Hierarchical Component Model. Moreover, Perceived Desirability found to be a strong predictor of behavioral intention.
PrefMiner: mining user's preferences for intelligent mobile notification management

Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users' interests and, also for this reason, they are considered disruptive and potentially annoying. In this paper we present the design, implementation and evaluation of PrefMiner, a novel interruptibility management solution that learns users' preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. The goal is to build a system that is intelligible for users, i.e., not just a "black-box" solution. Rules are shown to users who might decide to accept or discard them at run-time. The design of PrefMiner is based on a large scale mobile notification dataset and its effectiveness is evaluated by means of an in-the-wild deployment.
Changes in Heart Rate Variability and Post‐Exercise Blood Pressure from Manipulating Rest Intervals Between Sets of Resistance Training

Abstract The purpose of this study was to compare blood pressure and heart rate variability responses in physically active men after performing resistance training sessions with rest intervals of 1 min, 2 min and 3 min. Eighteen men (age, 21.6±1.1 years; body mass, 74.1±8.1 kg; body height, 175.3±7.1 cm) who performed 180min of physical activity per week participated in this study. After determining the 15RM loads for the squat, bench press, bent-over row and deadlift, participants performed a resistance training session. Participants performed three resistance training protocols in randomized counterbalanced order. Each experimental protocol comprised different rest intervals between sets of resistance training exercises (1min, 2min or 3min). During each experimental session, participants performed three sets with a 15RM load. Blood pressure and heart rate variability were measured before and for 2h after each session. The results demonstrated a greater blood pressure (p<0.05) reduction with a longer rest interval. There was no statistically significant difference in heart rate variability changes between groups. These results indicate that 2min and 3min rest intervals while using a 15RM load provide the best stimulus for a blood pressure reduction response after a resistance training session. Our findings suggest that strength and conditioning professionals should prescribe 2min or 3min rest intervals when resistance training is performed with a 15RM load if the aim is to obtain an acute reduction in blood pressure after a resistance training session.
DeepGaze III: Modeling free-viewing human scanpaths with deep learning

Abstract Humans typically move their eyes in “scanpaths” of fixations linked by saccades. Here we present DeepGaze III, a new model that predicts the spatial location of consecutive fixations in a free-viewing scanpath over static images. DeepGaze III is a deep learning–based model that combines image information with information about the previous fixation history to predict where a participant might fixate next. As a high-capacity and flexible model, DeepGaze III captures many relevant patterns in the human scanpath data, setting a new state of the art in the MIT300 dataset and thereby providing insight into how much information in scanpaths across observers exists in the first place. We use this insight to assess the importance of mechanisms implemented in simpler, interpretable models for fixation selection. Due to its architecture, DeepGaze III allows us to disentangle several factors that play an important role in fixation selection, such as the interplay of scene content and scanpath history. The modular nature of DeepGaze III allows us to conduct ablation studies, which show that scene content has a stronger effect on fixation selection than previous scanpath history in our main dataset. In addition, we can use the model to identify scenes for which the relative importance of these sources of information differs most. These data-driven insights would be difficult to accomplish with simpler models that do not have the computational capacity to capture such patterns, demonstrating an example of how deep learning advances can be used to contribute to scientific understanding.
Association of Opioid Dose Reduction With Opioid Overdose and Opioid Use Disorder Among Patients Receiving High-Dose, Long-term Opioid Therapy in North Carolina

Key Points Question Is rapid dose decrease or discontinuation among patients receiving high-dose, long-term opioid therapy associated with increased risk of opioid-related harms? Findings In a retrospective cohort study of 19 443 privately insured patients who received high-dose, long-term opioid therapy, rapid dose reduction or discontinuation (vs dose maintenance or increase or gradual reduction or discontinuation) was associated with increased risk of opioid overdose over 4 years of follow-up. Meaning This cohort study found that opioid dose reduction or discontinuation that exceeded current chronic pain management guidelines was associated with increased risk of opioid-related harms, highlighting the importance of caution when reducing opioid doses in order to improve patient safety.
A Change for the Worse: Negative Social Exchanges are Associated with an Accelerated Decline in Self-Rated Health Over Time

Objectives Age-associated accelerated declines in physical health vary across individuals, and researchers have suggested that individual differences in decline may vary as a function of stressors. The relation of one such stressor, negative social exchanges, to accelerated declines in self-rated health is investigated. Method Participants are from a 2-year, 5-wave, national, longitudinal study of social relationships among older adults. Growth curve analyses are used to examine the relation of negative and positive social exchanges to accelerated changes in self-rated health, controlling for age, sex, race/ethnicity, education, and depressive symptoms. Results: Individuals reporting more frequent negative social exchanges showed significantly accelerated declines in physical health. Positive social exchanges were not related to linear or accelerated declines in self-rated health over time. Discussion: The association between negative social exchanges and accelerated deterioration in self-rated health provides general support for hypotheses that interpersonal stressors play an important role age-related physical health decline.
New Mothers' Perceptions of Pressure to Breastfeed

Abstract Purpose: Develop a measure to quantitatively assess perceived pressure to breastfeed and examine associations between perceived pressure, emotional distress, and the breastfeeding experience and self-efficacy among women with 2- to 6-month-old infants. Study Design and Methods: A cross-sectional study using an online survey to assess perceived pressure to breastfeed, emotional distress, and the breastfeeding experience and self-efficacy was conducted. Participants were recruited through ResearchMatch, a national online service that matches potential participants to research studies, and online community forums (e.g., Facebook). Results: Women (n = 187) reported themselves and society as the greatest sources of pressure. Pressure to breastfeed was negatively associated with the breastfeeding experience (r = -.34, p < .01) and self-efficacy (r = -.39, p < .01), but not emotional distress. Pressure to breastfeed remained a significant explanatory factor, even when considering demographic covariates, with the final models accounting for 16% and 20% of the variance in the breastfeeding experience and self-efficacy, respectively. Clinical Implications: Perceived pressure to breastfeed may be an important psychosocial factor to consider when aiming to improve women's breastfeeding experiences. Reducing perceived pressure may be beneficial for promoting breastfeeding outcomes. This study reports on a measure to quantitatively assess perceived pressure to breastfeed and examines associations between perceived pressure, emotional distress, the breastfeeding experience, and self-efficacy among women with 2 to 6-month-old infants. Women reported themselves and society as the greatest sources of pressure. Pressure to breastfeed was negatively associated with the breastfeeding experience. Perceived pressure to breastfeed may be an important psychosocial factor to consider for improving women's breastfeeding experiences. Reducing perceived pressure may be beneficial for helping women meet their breastfeeding goals.
Cervical and ocular vestibular evoked myogenic potential: A comparison of narrowband chirp, broadband chirp, tone burst and click stimulation

Abstract Objectives To compare the response rate and response parameters of cervical and ocular vestibular evoked myogenic potentials (c&oVEMP) elicited by narrowband (NB) and broadband (BB) CE-Chirp, with the more classical tone burst (TB) and click VEMPs. Design The response rate, latency, amplitude and asymmetry ratio of c&oVEMPs elicited by 95 dB nHL air conducted (AC) 500 Hz NB CE-chirp, BB CE-chirp, 500 Hz TB and click stimuli were recorded bilaterally. Study sample 20 male and 38 female participants (19–39 years). Results For the cVEMP, the highest response rate was found for NB chirp (100%), followed by TB (91%), BB chirp (87%) and finally click (85%). A similar order was seen for oVEMP with percentages of 100%; 57%, 57%, and 43%. The 500 Hz NB CE-Chirp elicited significantly shorter cVEMP P1 and N1 latencies and significantly larger c&oVEMP amplitudes compared to all other stimuli. BB CE-Chirp elicited significantly shorter c&oVEMP P1 and N1 latencies with smaller amplitudes compared to TB. Asymmetry ratios were not statistically significant for all comparisons. Conclusion The 500 Hz NB CE-chirp provides the highest response rates, shorter latencies and larger amplitudes, and therefore seem a promising stimulus for reliably measuring c&oVEMPs in clinical practice.
Body composition and myokines in a cohort of patients with Becker muscular dystrophy

Becker muscular dystrophy (BMD) is an X‐linked disease leading to muscle wasting and weakness. The decrease in lean body mass (LBM) in Duchenne muscular dystrophy, has shown correlation with loss of muscle function and bone density (BD). Myokines (including irisin) are hormones secreted by skeletal muscle that allow crosstalk between muscle and bone. The present study analyzed body composition and circulating myokine levels in a cohort of BMD patients; moreover, the association between dual energy X‐ray absorptiometry (DXA) parameters, functional motor assessments, and myokine levels was investigated.
Robotic Spine Surgery: Past, Present, and Future

Study Design. Systematic review. Objective. The aim of this review is to present an overview of robotic spine surgery (RSS) including its history, applications, limitations, and future directions. Summary of Background Data. The first RSS platform received United States Food and Drug Administration approval in 2004. Since then, robotic-assisted placement of thoracolumbar pedicle screws has been extensively studied. More recently, expanded applications of RSS have been introduced and evaluated. Methods. A systematic search of the Cochrane, OVID-MEDLINE, and PubMed databases was performed for articles relevant to robotic spine surgery. Institutional review board approval was not needed. Results. The placement of thoracolumbar pedicle screws using RSS is safe and accurate and results in reduced radiation exposure for the surgeon and surgical team. Barriers to utilization exist including learning curve and large capital costs. Additional applications involving minimally invasive techniques, cervical pedicle screws, and deformity correction have emerged. Conclusion. Interest in RSS continues to grow as the applications advance in parallel with image guidance systems and minimally invasive techniques. IRB Approval. N/A.
TRAF3 alterations are frequent in del‐3′IGH chronic lymphocytic leukemia patients and define a specific subgroup with adverse clinical features

Interstitial 14q32 deletions involving IGH gene are infrequent events in chronic lymphocytic leukemia (CLL), affecting less than 5% of patients. To date, little is known about their clinical impact and molecular underpinnings, and its mutational landscape is currently unknown. In this work, a total of 871 CLLs were tested for the IGH break‐apart probe, and 54 (6.2%) had a 300 kb deletion of 3′IGH (del‐3′IGH CLLs), which contributed to a shorter time to first treatment (TFT). The mutational analysis by next‐generation sequencing of 317 untreated CLLs (54 del‐3′IGH and 263 as the control group) showed high mutational frequencies of NOTCH1 (30%), ATM (20%), genes involved in the RAS signaling pathway (BRAF, KRAS, NRAS, and MAP2K1) (15%), and TRAF3 (13%) within del‐3′IGH CLLs. Notably, the incidence of TRAF3 mutations was significantly higher in del‐3′IGH CLLs than in the control group (p < .001). Copy number analysis also revealed that TRAF3 loss was highly enriched in CLLs with 14q deletion (p < .001), indicating a complete biallelic inactivation of this gene through deletion and mutation. Interestingly, the presence of mutations in the aforementioned genes negatively refined the prognosis of del‐3′IGH CLLs in terms of overall survival (NOTCH1, ATM, and RAS signaling pathway genes) and TFT (TRAF3). Furthermore, TRAF3 biallelic inactivation constituted an independent risk factor for TFT in the entire CLL cohort. Altogether, our work demonstrates the distinct genetic landscape of del‐3′IGH CLL with multiple molecular pathways affected, characterized by a TRAF3 biallelic inactivation that contributes to a marked poor outcome in this subgroup of patients.
Managing One's Age in Age-Dissimilar Mentoring Relationships

The aging of the workforce creates opportunities for experienced employees to share expertise with newer employees, via mentoring relationships. Age-dissimilar interactions, however, like those between mentor and protégé, can engender challenging interpersonal dynamics such as concern about how others view and respond to them. The current study examines the unique challenges and opportunities of age-dissimilar mentoring relationships, using a sample of doctor and lawyer protégés. Findings suggest that age dissimilarity does not play as large of a role in mentoring relationship outcomes as age-related behaviors. How one manages their age seems to be more important, such that managing one's age in a positive way by redefining age-related stereotypes rather than switching attention away from stereotypes is better for mentoring relationship outcomes no matter the age difference between mentor and protégé. Implications, inferences, and limitations are discussed.
Metabolic adaptation to high-starch diet in largemouth bass (Micropterus salmoides) was associated with the restoration of metabolic functions via inflammation, bile acid synthesis and energy metabolism

Abstract A short-term 2-week (2w) and long-term 8-week (8w) feeding trial was conducted to investigate the effects of low-starch (LS) and high-starch (HS) diets on the growth performance, metabolism and liver health of largemouth bass (Micropterus salmoides). Two isonitrogenous and isolipidic diets containing two levels of starch (LS, 9·06 %; HS, 13·56 %) were fed to largemouth bass. The results indicated that HS diet had no significant effects on specific growth rate during 2w, whereas significantly lowered specific growth rate at 8w. HS diet significantly increased hepatic glycolysis and gluconeogenesis at postprandial 24 h in 2w. The hepatosomatic index, plasma alkaline phosphatase, total bile acid (TBA) levels, and hepatic glycogen, TAG, total cholesterol, TBA, and NEFA contents were significantly increased in the HS group at 2w. Moreover, HS diet up-regulated fatty acid and TAG synthesis-related genes and down-regulated TAG hydrolysis and β-oxidation-related genes. Therefore, the glucolipid metabolism disorders resulted in metabolic liver disease induced by HS diet at 2w. However, the up-regulation of bile acid synthesis, inflammation and energy metabolism-related genes in 2w indicated that largemouth bass was still in a state of ‘self-repair’ response. Interestingly, all the metabolic parameters were returned to homoeostasis, with up-regulation of intestinal glucose uptake and transport-related genes, even hepatic histopathological analysis showed no obvious abnormality in the HS group in 8w. In conclusion, HS feed induced short-term acute metabolic disorder, but long-term metabolic adaptation to HS diet was related to repairing metabolism disorders via improving inflammatory responses, bile acid synthesis and energy metabolism. These results strongly indicated that the largemouth bass owned certain adaptability to HS diet.