Miracle-dz/UniFAR-FTUs huggingface dataset:
Reducing Plastic Waste by Visualizing Marine Consequences

Plastic pollution has become a major global conservation challenge. To reduce the generation of plastic waste, we designed and tested several behavioral interventions in a randomized control trial to reduce plastic waste in a high-rise office building. We randomly assigned eight floors in the building to four conditions: (1) simplified recycling signage, (2) signage with a marine animal trapped in plastic debris, (3) signage with a pledge that invited people to be plastic wise to protect ocean life, and (4) control. We found that the signage with the animal reduced plastic waste by 17%, the largest effect among the other conditions. After implementing the signage to the entire building, we found an overall reduction in plastic waste over 6 weeks. The current study demonstrates the effectiveness of visualizing marine consequences of plastic waste and provides a behavioral solution connecting disposal actions and the downstream consequences for plastic waste reduction.
Phylogeography of the Oriental dobsonfly, Neoneuromus ignobilis Navás, suggests Pleistocene allopatric isolation and glacial dispersal shaping its wide distribution

We explored the population structure and demographic history of an endemic but widespread Oriental dobsonfly, Neoneuromus ignobilis Navás (Megaloptera: Corydalidae), based on mitochondrial genomic and microsatellite datasets. Our results show that the 20 geographical populations of N. ignobilis presently sampled in East and Southeast Asia belong to five major lineages discriminated as southern Vietnam, Yunnan + Laos + northwestern Vietnam, southwestern Guangxi, central China and eastern China. We propose that early differentiation of populations probably occurred in Indochina and Yunnan due to vicariance events, and that populations from central and eastern China might have originated from southwestern Guangxi by dispersal. The continuous population expansion since the last interglacial, as revealed by demographic history and niche modelling analyses, explains the widespread pattern of N. ignobilis and highlights the relatively weak impact of the Quaternary glaciations on the East Asian biota.
Possibilities of the Ukrainian Online Platform OUM

Introduction of information and communication technologies in the educational process has resulted in the emergence of innovative teaching techniques, new software and technologies. One of the effective means of distance learning is mass open online courses (MOOC). The purpose of the article is to analyze the possibilities provided by the Ukrainian online platform of the Open University of Maidan (OUM), and to compare it with other Ukrainian platforms (Prometheus, EdEra) according to certain criteria. The article reveals the main advantages and disadvantages of using MOOC both for self-development and in the educational process at higher education institutions. It has been found that MOOC provide lifelong learning and implement the principles of mass involvement and openness. They also offer free online courses and generate a certificate after their successful completion. We have identified some problematic issues which cover the imperfect system of practical tasks, the need to increase users’ motivation, the language aspect, etc. The OUM online platform is primarily intended to provide civic education for community representatives and other users. We analyzed the thematic areas of the online platform and characterized them. The courses on this platform are mainly focused on the adult audience. They increase personal, communicative and civic efficiency, develop social entrepreneurship and understanding of the global content. Also, they ensure effective interaction with the authorities. During the content analysis we found that the OUM platform has specific features. In particular, it is the ability to form and graphically represent the individual educational trajectory; the platform contains exclusively Ukrainian-language content and provides an opportunity to be informed about the course progress via email. We dwelt on the possibilities of using MOOC by students, teachers and all those who are interested in self-study.
EFFECT OF PERFORMANCE APPRAISAL SYSTEM ON MOTIVATION AND PERFORMANCE OF ACADEMICS IN NIGERIAN PUBLIC UNIVERSITIES

Nigerian universities are presently experiencing a number of challenges, primary among which is dearth of experienced academics, due to the mass exodus of lecturers to other countries in Africa and overseas, where the environment is more conducive to work and remuneration packages are more competitive. Series of research studies have established that a strong relationship exists between human resource (HR) practices and employee motivation and performance; however much still needs to be done in terms of investigating how it applies to academics in Nigerian universities. This study therefore set out to examine the impact of performance appraisal (PA), which is a key HR practice, on the motivation and performance of academics in Nigerian universities. The study sample was drawn from four (4) public universities in south western Nigeria. Data was sourced with the aid of a questionnaire, while percentage and multiple regression analysis were used for data analysis. Findings showed that the university academics see their performance appraisal system as not being accurate and fair enough because it does not capture adequately, all the job components that make up their performance during the review period. The performance appraisal system was also found to exert a strong influence on the academics’ motivation and overall performance. It was recommended that the PA system for academics should be reviewed by university management such that all the components of their job are captured, evaluated, and adequately rewarded. This is expected to impact positively on the motivation and overall performance of the academics, thereby working as a veritable tool for steering university education towards the right direction for national development.
Improving Early Diagnosis of Child Neglect for a Better Response in Healthcare Settings

Early diagnosis of child neglect is an ongoing challenge with consequences of the child’s safety, health, and effective referral for intervention. This study aims to obtain a selected set of family, maternal, and dyadic variables of the immediate caregiving environment for diagnosis, preventive, and intervention responses in healthcare settings. Mothers and their children under five years old: 51 in the neglected group (NG) and 89 in the non-neglected control group (CG), were recruited through pediatric primary care services and social services in Spain. Family demographics, adverse events, childhood maltreatment, maternal psychopathologies, personality variables, and observed mother–child interactions were assessed. Gradient boosting analyses were applied for the contributor’s relative importance (RI), followed by logistic regression and discriminant analyses for those with higher RI. Parametric analyses showed high diagnostic accuracy (80–82% of NG and 92% of CG) for risky factors of child neglect: having a physically neglected and depressed mother, living in families in need of financial assistance, and large families; and for protective factors: having an older mother and showing higher mother–child emotional availability. Identifying a select group of features makes early diagnosis and preventive intervention more effective for mitigating the impact of child neglect and building mother–child resilience.
State Anxiety after Exergame Beach Volleyball Did Not Differ between the Single and Multiplayer Modes in Adult Men

This study compared the exergame beach volleyball’s acute effects on state anxiety level in single vs. multiplayer mode in adult men. Sixty adult men (age: 21.98 [4.58] years, body mass: 75.40 [15.70] kg, height: 1.77 [0.09] m, and body mass index: 24.19 [5.44] kg/m2; data are expressed as median [interquartile range]) were assigned to play exergame of beach volleyball in single- or multiplayer mode for approximately 30 min using the Xbox 360 Kinect®. The state anxiety level was evaluated before and after the intervention. There was no significant difference in the state anxiety levels after an exergame session between the single and multiplayer modes (p-value = 0.407, effect size (rB) = −0.12, defined as small). Furthermore, there was no significant difference in the state anxiety levels before and after an exergame session in single-player mode (p-value = 0.516, effect size (d) = 0.14, defined as trivial) and multiplayer mode (p-value = 0.053, rB = 0.43, defined as medium). In conclusion, state anxiety level after exergame beach volleyball did not differ between the single and multiplayer modes in adult men.
Evaluating the Costs of Nurse Burnout-Attributed Turnover: A Markov Modeling Approach

Objective Burnout is a public health crisis that impacts 1 in 3 registered nurses in the United States and the safe provision of patient care. This study sought to understand the cost of nurse burnout-attributed turnover using hypothetical hospital scenarios. Methods A cost-consequence analysis with a Markov model structure was used to assess nurse burnout-attributed turnover costs under the following scenarios: (1) a hospital with “status quo” nurse burnout prevalence and (2) a hospital with a “burnout reduction program” and decreased nurse burnout prevalence. The model evaluated turnover costs from a hospital payer perspective and modeled a cohort of nurses who were new to a hospital. The outcome measures were defined as years in burnout among the nurse cohort and years retained/employed in the hospital. Data inputs derived from the health services literature base. Results The expected model results demonstrated that at status quo, a hospital spends an expected $16,736 per nurse per year employed on nurse burnout-attributed turnover costs. In a hospital with a burnout reduction program, such costs were $11,592 per nurse per year employed. Nurses spent more time in burnout under the status quo scenario compared with the burnout reduction scenario (1.5 versus 1.1 y of employment) as well as less time employed at the hospital (2.9 versus 3.5 y of employment). Conclusions Given that status quo costs of burnout are higher than those in a hospital that invests in a nurse burnout reduction program, hospitals should strongly consider proactively supporting programs that reduce nurse burnout prevalence and associated costs.
Motivational factors promoting knowledge sharing in the non-profit sector in Thailand

This study aims to investigate how organizational design – especially culture, employee intentions, intrinsic and extrinsic motivational factors, and processes – promotes knowledge sharing in the non-profit context. The research used a quantitative analysis with data from a sample of 213 non-profit organizations. The sample organizations were from diverse sectors operating actively in Thailand. The descriptive statistical technique and analysis of factor loading value were utilized to present the surveyed data. Based on the study findings of the descriptive statistics data, it was noted that motivational factors such as availability, value, and enjoyment in helping the colleagues via sharing the knowledge were remarkably associated with organizational knowledge sharing. Furthermore, the results revealed that sub-factors of knowledge sharing culture, intentions, and processes were more extraordinary for enhancing knowledge management activities. On the other hand, extrinsic motivational factors – mainly, expected organizational rewards such as bonus, salary, job security, and promotion opportunities – were not significantly promoted knowledge sharing. This study supports the non-profit organization's leaders and managers finding ways to boost motivational factors to promote knowledge sharing. Moreover, the study provides empirical insight into the knowledge management-non-profit organizations research domain, which links knowledge sharing and organizational design in the non-profit environment.
Evaluation of Smart After-Care Program for Patients With Lung Cancer

Introduction: The efficacy of telemedicine in cancer survivors is uncertain. The Smart After-care Program (SAP), which is an interactive, smartphone-based remote health monitoring system, was developed to help individual patients manage their health after leaving the hospital. This study aims to evaluate the efficacy of our remote health care program for lung cancer patients. Methods We enrolled 50 lung cancer patients. Self-monitoring devices were supplied to all patients, who were instructed to enter their daily vital signs and subjective symptoms to the Smart After-care app. The app also provided information about rehabilitation exercises and a healthy diet for lung cancer patients. All patients received telephone health counseling once a week and visited an outpatient clinic on the 6th and 12th week to assess satisfaction with the SAP and changes in quality of life and physical performance. Results Overall satisfaction with the SAP was very high (very good, 61.9%; good, 26.2%). In the multivariate analysis for factors affecting satisfaction, the distance between the patient’s residence and the hospital was the only independent factor (p = 0.013). Quality of life was improved in all functional scales (p < 0.05). Muscle strength was significantly improved in the lower limbs (p = 0.012). Two-minute walk distance was also significantly improved (p = 0.028). Conclusion This study demonstrated that the SAP was acceptable among and supportive of patients with reduced pulmonary function after lung cancer treatment. The study proved that the SAP was more useful for patients living far away from a hospital.
The Brazilian Caatinga protected areas: an extremely unbalanced conservation system

Summary The semiarid Caatinga is the largest Seasonally Dry Tropical Forest and Woodland (SDTFW) in the Neotropics. Yet the vast majority of the Caatinga is unprotected, with severe chronic anthropogenic use, exotic species and global warming among its most immediate threats. Here, we contrast the current Caatinga protected areas (PAs) scenery with that of other SDTFWs in the Neotropics. We also analyse the growth process of the PAs in the Caatinga over time across Brazilian PA categories and jurisdictions. The percentage of Caatinga that is protected is average among the SDTFWs. Caatinga has more state than federal PAs; however, the size of the PAs is greater under a federal jurisdiction. Nonetheless, in both jurisdictions, Environmental Protected Areas, one of the least restrictive categories, are more representative in terms of total area, corresponding to nearly 80% of the Caatinga PA system. Our results are relevant for international conservation goals because they depict the current PA scenery and clarify the challenges for achieving the actual preservation of the unique Caatinga biome.
Comparison of Soil Biology Quality in Organically and Conventionally Managed Agro-Ecosystems Using Microarthropods

Since management practices profoundly influence soil characteristics, the adoption of sustainable agro-ecological practices is essential for soil health conservation. We compared soil health in organic and conventional fields in the Abruzzi region (central Italy) by using (1) the soil biology quality (QBS) index (which expresses the level of specialisation in soil environment shown by microarthropods) and (2) microarthropod diversity expressed by Hill numbers. QBS values were calculated using both the original formulation based on only presence/absence data and a new abundance-based version. We found that organic management improves soil biology quality, which encourages the use of organic farming to maintain soil health. Including arthropod abundance in QBS calculation does not change the main outcomes, which supports the use of its original, speedier formulation. We also found that agricultural fields included in protected areas had greater soil health, which shows the importance of the matrix in determining agricultural soil health and highlights the importance of land protection in preserving biodiversity even in managed soils. Finally, we found that soil biology quality and microarthropod community structure are distinctly influenced by certain physical and chemical characteristics of the soil, which supports the use of microarthropods as biological indicators.
Analysis of PCDDs/PCBs by AhR-CALUX assay in Indian dietary food and environment ash

This study found distribution of polychlorinated dibenzo-p-dioxins/polychlorinated dibenzofurans (PCDD/Fs) and dioxin like polychlorinated biphenyls (DL-PCBs) in bovine milk and ash samples collected from 9 different major districts namely Erode, Salem, Namakkal, Coimbatore, Trippur, Madurai, Chennai, Dindigul and Tiruchirappalli, which were highly populated and industrialized districts of South India (Tamil Nadu). The total toxic equivalency (TEQ) for PCDD/Fs and DL-PCBs in the bovine milk samples were ranged from 0.028 to 7.331-pg TEQ/g fat. Some of the districts showed higher PCDD/Fs and DL-PCBs concentration in milk and ash samples. Further, BM14 (7.331 pg-TEQ/g fat) and BM21 (6.406 pg-TEQ/g fat) sampling sites showed exceed level of PCDD/Fs and DL-PCBs than WHO regulation limits (6 pg-TEQ/g fat). Similarly, Total dioxins and DL-PCBs concentration in the ash sample were between 0.003-1. ng TEQ/g. Samples from AS3 (1.2 ng-TEQ/g) and AS11 (1.06 ng-TEQ/g) showed higher total dioxins and DL-PCBs level among other sampling sites. This study provides an overview of dioxins and dioxin-related compounds contamination in bovine milk and ash samples in south Tamil Nadu. Further, the CALUX assay method validation has simplified the monitoring of dioxin contamination in the environment.
Permissive, Authoritarian, and Authoritative Parenting Style and Smartphone Addiction on University Students

This research was conducted to find the correlation between permissive, authoritative, authoritarian parenting styles with smartphone addiction. This study involved 225 students of one private university in Jakarta from various faculties (67 male and 158 female) selected based on a non-probability sampling method - convenience sampling. The measuring instruments used in this study were the Smartphone Addiction Scale (SAS) developed by Kwon et al. (2013) and the Parenting Style scale developed by Baumrind (1971), and the personal information form used to collect sample personal data. The quantitative analysis of the research was carried out using the Pearson product- moment test, Spearman correlation’s test, descriptive test, t -test, and ANOVA test of difference. This study's results were there is a significant correlation of 0.320 between permissive parenting style and smartphone addiction, also there is a significant correlation of 0.300 between authoritarian parenting and smartphone addiction. Furthermore, there is no significant relationship between authoritative parenting and smartphone addiction. permissive means, more applied to the higher the level of their smartphone It the results of preliminary research that show that parents' permissive parenting is related to the level of smartphone addiction in respondents. It also in line the Nur al. which found that who themselves to have have significantly higher average smartphone addiction than with authoritarian and democratic parenting.
Enhanced upward motion through the troposphere over the tropical western Pacific and its implication to transport of trace gases from the troposphere to the stratosphere

Abstract. The tropical western Pacific (TWP) is a preferential area of air uplifting from the surface to the upper troposphere. A significantly intensified upward motion through the troposphere over the TWP in the boreal wintertime (November to March of the next year) has been detected from 1958 to 2017 using the reanalysis datasets. Model simulations using the Whole Atmosphere Community Climate Model, version 4 (WACCM4) suggest that warming global sea surface temperatures (SSTs), particularly TWP SSTs, play a dominant role in the intensification of the upward motion by strengthening the Pacific Walker circulation and enhancing the deep convection over the TWP. Using CO as a tropospheric tracer, numeric simulations show that more CO could be elevated to the tropical tropopause layer (TTL) by the enhanced upward motion over the TWP and subsequently into the stratosphere by the strengthened Brewer-Dobson (BD) circulation which is also mainly caused by global SST warming. This implies that more tropospheric trace gases and aerosols may enter the stratosphere through the TWP region and affect the stratospheric chemistry and climate.
Ovarian Cysts Classi�cation Using Novel Deep Q-Learning With Harris Hawks Optimization Method

: This research presents an essential solution for classifying ultrasound diagnostic images describing seven types of ovarian cysts: Follicular cyst, Hemorrhagic cyst, Corpus luteum cyst, Polycystic-appearing ovary, endometriosis cysts, Dermoid cyst, and Teratoma. This work proposed a novel technique using images of ovarian ultrasound cysts from an ongoing database with this motivation. Initially, the work is followed by removing noise in preprocessing, feature extraction, and finally classifying using new Deep Q-Network with Harris Hawks Optimization (HHO) classifier. Automatic feature extraction is implemented using the recent popular convolutional neural network (CNN) technique that extracts image features as conditions in the reinforcement learning algorithm. With this, through the procedure of a new deep Q-learning algorithm, Deep Q-Network (DQN) is generated to train a Q-network. The swarm-based method of HHO utilized the optimization method to produce optimal hyperparameters in the DQN model known as HHO-DQN, a novel technique for classifying ovarian cysts. Extensive experimental evaluations on datasets show that the proposed HHO-DQN approach outperforms existing active learning approaches for ovarian cyst classification. Compared with the ANN, CNN, and AlexNet models, the performance of the proposed model is better in terms of precision, f-measure, recall, accuracy, and IoU. The proposed model has achieved 96% precision, 96.5% f-measure, 96% recall, 97% accuracy, and 0.65 IoU.
Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images

Liver cancer has become one of the commonly occurring cancers in men and women. The segmented computed tomography (CT) image of the tumor is the major source for a doctor to diagnose liver diseases. This article proposes a fully automatic system based on an asymmetric dilated convolutional encoder–decoder neural (ADCEDN) network for the problem of accurately extracting the liver and tumor from abdominal CT slices. Specifically, two ADCEDN networks are used in a cascaded form to perform both liver and liver abnormality segmentation. We enrich the encoder module by incorporating the multiscale contextual information through dilated convolutions that enhance the capacity and efficiency of the network. Hybrid dilated convolution across depths perform depth‐wise separable convolution by providing a less steep increase in dilation rate and thus denser sampling that can reduce the computation cost and several metrics while maintaining better performance. Also, the encoder–decoder network is made asymmetric, thereby making the network less complex and more generalizable. The suggested method produced an average dice similarity coefficient score of 96.54% and 76.16% for liver segmentation and liver abnormality segmentation on the 3D Image Reconstruction for Comparison of Algorithm Database data set and 96.42% and 75.7% on the Liver Tumor Segmentation data set. The test outcomes show that the proposed ADCEDN attains state‐of‐the‐art performance in both segmentation of liver and tumors.