Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart Agro-Clustering Based on the Chain "Education-Science-Business" for Sustainable Development

The rapid development of technologies has made their adjustments in absolutely all universe processes. The accelerating pace of technology development, and constant crisis phenomena direct all interested parties towards clustering. The study is devoted to studying theoretical and methodological developments regarding clustering, the analysis of the current state of the course of sustainable development chosen by Ukraine and the achievement of goals within its framework. A special place is given to the aspect of financial regulation of creating an agricultural cluster. The analysis showed the need to improve the established clustering chain by adding schools as cluster members at the initial stage. The authors proposed and clearly presented a scheme of interaction between stakeholders in a Smart-cluster and described why this agrarian cluster could be considered smart. The resulting synergistic effect of creating a cluster is not only in increasing the efficiency of its work as a whole compared to the efficiency of individual participants but also in the mutual strengthening of competitive positions. To improve the financial regulation of creating a smart agrarian cluster, the authors proposed an algorithm that would allow the most efficient allocation of money depending on priorities. Forecasting needs to be reviewed periodically because it is planned that at the initial stage, the smart cluster will be financed by “locomotives”, i.e. profitable industries/enterprises; in the future, financing will fall on the shoulders of promising highly profitable non-resource high-tech industries/enterprises.
Hybrid Approach for Shelf Monitoring and Planogram Compliance (Hyb-SMPC) in Retails Using Deep Learning and Computer Vision

In retail management, the continuous monitoring of shelves to keep track of the availability of the products and following proper layout are the two important factors that boost the sales and improve customer’s level of satisfaction. The studies conducted earlier were either performing shelf monitoring or verifying planogram compliance. As both the activities are important, to tackle this problem, we presented a deep learning and computer vision-based hybrid approach called Hyb-SMPC that deals with both activities. The Hyb-SMPC approach consists of two modules: The first module detects fine-grained retail products using one-stage deep learning detector. For the detection part, the comparison of three deep learning-based detectors, You Only Look Once (YOLO V4), YOLO V5, and You Only Learn One Representation (YOLOR), is provided and the one giving the best result will be selected. The selected detector will perform detection of different categories of SKUs and racks. The second module performs planogram compliance; for this purpose, the company-provided layout is first converted to JavaScript Object Notation (JSON) and then the matching is performed with the postprocessed retail images. The compliance reports will be generated at the end for indicating the level of compliance. The approach is tested in both quantitative and qualitative manners. The quantitative analysis demonstrates that the proposed approach achieved an accuracy up to 99% on the provided dataset of retail, whereas the qualitative evaluation indicates increase in sales and customers’ satisfaction level.
Anaerobic co-digestion of sewage sludge and molasses

The efficiency of simultaneous digestion of sewage sludge and by-product of refining sugar beets (molasses) was investigated. The study was conducted for 28 days under mesophilic conditions. 0.5%, 1%, 1.5%, 2% and 3% (m/m) of molasses was added to the mixture of sludge. The result of the study showed that addition of molasses had positive effect the biogas production. The biggest biogas yield was achieved in sample with 0.5% of molasses (95.69 mL/g VS). In this sample biogas production increased by 21% in comparison with reference sample (without molasses). The biggest methane content (73%) was also observed in the sample with 0.5% of molasses. For comparison in reference sample was produced biogas with 70% content of methane. The dose over 0.5% of molasses caused inhibition of fermentation process. The minimal degree (38%) of degradation of organic matter was achieved in reference sample (38.53%) and in sample with 0.5% of molasses (39.71%) but in other samples was in the range of 35.61-36.76 % (from 3% to 1%, respectively). Digestion process have adverse effect on dewatering properties of sludge. Before co-digestion capillary suction time was from 31 s to 55 s, and after process increased from 36 s to 556 s (from 0% to 3% of molasses, respectively).
Semantic maturation during the comprehension‐expression gap in late and typical talkers

Abstract This study investigates the influence of semantic maturation on early lexical development by examining the impact of contextual diversity—known to influence semantic development—on word promotion from receptive to productive vocabularies (i.e., comprehension‐expression gap). Study 1 compares the vocabularies of 3685 American‐English‐speaking typical talkers (TTs) and late talkers (LTs; 16–30 months old; 1257 females, 1021 gender unknown; ethnicity unknown; data downloaded in 2018) and finds that LTs, with a longer preverbal phase, produced nouns with lower contextual diversity (R 2 = .80), but verbs with higher contextual diversity (R 2 = .13). Study 2 compares computational network growth models of semantic maturation and finds that verbs require more semantic maturation than nouns, and TTs produce words that are more semantically mature than LTs.
Wind speed Weibull distribution and wind energy potential of Chandpur, Bangladesh

Weibull distribution goes particularly well with wind speed data and is necessary to assess wind energy harnessing potential at a site. For the best estimation of the statistical distribution parameters at Chandpur (23.21116° N; 90.64237° E), located at the southern part of Bangladesh, six models: graphical method, method of moments, power density method, Justus method, Lysen method and maximum likelihood method have been analyzed for 18.8 m, 40.2 m and 59.9 m above ground level (AGL) using measured wind speed data for 2014-2017. Out of the six models, Justus method has showed the best result for estimation of Weibull parameters at all heights AGL with average RMSE of 0.0082 and R2 of 0.9650. Further more to evaluate the wind energy potential at modern wind turbine hub height of 100 m, firstly the wind shear exponent at the site (the average value is 0.37 considering the 10 m elevation of the site above sea level) is estimated from the wind data of 3 heights; secondly average wind speed (4.88 m/s), wind power density (108.8 Wm-2), Weibull distribution parameters (shape factor 2.29 and scale factor 5.33 m/s) and wind turbine power curve related wind speeds (cut in 2.28 m/s, rated 9.33 m/s and cut out 21.03 m/s)have been extrapolated at the hub height. The average wind speed and wind power density values show that the class of the site is 1 in the worldwide accepted wind power classification, based on long term practical wind farm installation experiences; the low cut in speed (<3 m/s) shows that suitable wind turbines for the site are commercially unavailable for the site and turbines with 3 m/s cut in speed have average annual capacity factor of 16.62 %, less than the commercially viable capacity factor >25 %. The wind power class (< class 3) and capacity factor (<25 %) strictly reveals that Chandpur is not suitable for wind energy exploration in near future until a high technical improvement of wind turbines and reduction of relevant costs. DUJASE Vol. 6 (2) 99-108, 2021 (July)
The role of knowledge management in supply chain management: A literature review

Purpose: The aim of this paper is to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain management area, and knowledge management processes. Design/methodology/approach: To achieve this, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis. Findings: Major results showed that knowledge management can be viewed as a leverage mechanism for: (i) supply chain integration; (ii) the enhancement of intra and inter-relations across the supply chain; (iii) supply chain strategy alignment; and (iv) the reinforcement of knowledge transfer in product development. Some supply chain management areas such as reverse logistics, inventory management, forecasting/demand planning, outsourcing, and risk management have been explored only to some extent. Furthermore, knowledge transfer is being studied in the majority of the articles, mainly by both case study and survey approach; mathematical models and simulation techniques are used in very limited articles. Findings concerning theoretical perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of search period (2000-2014), selection of search databases (Web of Science and SCOPUS and language selection (English). Practical implications: The exhibition of the KM processes within the SC context may help practitioners and managers interested in implementing KM initiatives to replicate the methodologies in order to increase the possibilities of a successful KM adoption. Originality/value: The systematic review will contribute to the understanding of the present state of research in the knowledge management theory, with focus on the supply chain, as there are no state-of-knowledge studies that report a systematic literature review approach.
Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Colorectal Peritoneal Metastases: A Summary of Key Clinical Trials

The peritoneal cavity is a common site of metastatic spread from colorectal cancer (CRC). Patients with peritoneal metastases (PM) often have aggressive underlying tumor biology and poor survival. While only a minority of patients with CRC have potentially resectable disease, the high overall incidence of CRC makes management of PM a common clinical problem. In this population, cytoreductive surgery (CRS)-hyperthermic intraperitoneal chemotherapy (HIPEC) is the only effective therapy for appropriately selected patients. In this narrative review, we summarize the existing literature on CRS-HIPEC in colorectal PM. Recent prospective clinical trials have shown conflicting evidence regarding the benefit of HIPEC perfusion in addition to CRS. Current strategies to prevent PM in those at high-risk have been shown to be ineffective. Herein we will provide a framework for clinicians to understand and apply these data to treat this complex disease presentation.
Mentoring novice natural science teachers: a case study in the Gauteng province

The study reported on here was undertaken to understand the impact of mentoring novice science teachers. The study was conducted within the Gauteng province, because there have been many debates and concerns on the necessity to devise ways of improving the understanding of science in schools in the province. The purpose of this study was to understand the effects and impact of mentoring novice natural science teachers within the Gauteng province. We used the qualitative research approach and this was motivated by the need to understand the perceptions and experiences of the research participants. Purposive sampling was used as sampling method to select novice science teachers and relevant teachers to be part of the sample. Through the use of semi-structured interviews as data collection method, it was discovered that mentoring of novice teachers refers to the method of empowering new teachers to be effective in their work-related tasks to become true professionals in the academic profession. We concluded that several mentoring initiatives and mechanisms were used to assist novice teachers. Among these programmes, training, skills development and technical support to enhance communication skills and manage the curriculum were underscored. We concluded that the mentoring of novice teachers was important within Gauteng, as it raised awareness and lead to expert science teachers being equipped with a wide range of skills to achieve the best results in the classroom. Mentoring also capacitates novice teachers on how to handle laboratory equipment and chemicals to benefit learners. We also gathered that mentoring had a direct impact on novice science teachers. It lead to the creation of an effective and excellent teaching environment, resulted in higher levels of teacher retention and improved teachers’ service delivery. It also strengthened the emotional and psychological well-being of teachers. We thus recommend training, development, and the allocation of finances towards enhancing the mentoring of novice science teachers.
The complete mitochondrial genome of Acanthopagrus pacificus (Perciformes, Sparidae) from Iriomotejima Island, Okinawa, Japan

Abstract The Pacific seabream, Acanthopagrus pacificus, is a commercially valuable resource for fisheries around the West Pacific Ocean countries. Although the phylogenetic position of the A. pacificus within the genus Acanthopagrus changes by the differences in the target gene regions or fish sampling locations, the genetic information of the species is quite limited. In this study, the complete mitochondrial genome of A. pacificus from Iriomotejima Island, Okinawa, Japan was determined. The sequence is 16,640 bp in length and consists of 13 protein-coding genes, 2 rRNA genes (12S rRNA and 16S rRNA), 22 tRNA genes, and one control region. A reconstructed phylogenetic tree showed that A. pacificus has the furthest relationship to other Acanthopagrus species in the genus.
Evaluating Soil Conservation Effectiveness: An Investigation of Spatial Targeting, Conservation Adoption, and Financial Incentives

Identifying and treating erosion‐prone, critical source areas (CSA) presents the opportunity to effectively address erosion at a watershed scale. Social and financial drivers of conservation adoption, however have buffered implementation. An integrated systems understanding is needed to identify internal feedbacks and potential synergistic conservation policies. We simulate the physical, social, and financial incentive interactions with a high‐level system dynamics model to understand the conservation adoption and subsequent erosion behavior of the system. A Bass diffusion model integrated with physical modeling results enables the simulation of CSA, the diffusion of innovations, and payment for conservation practices. Land retirement and tillage reduction best management practices are assessed for the dryland wheat farming region in the Inland Pacific Northwest of the United States. Model utility was confirmed with quantitative land management data and qualitative local expertise. Historical, voluntary‐based efforts to reduce erosion suffer marginal returns. We conclude that: (1) All targeting of CSA reduces long‐term erosion rates; (2) The most effective use of conservation funds, however, occurs when the diffusion of innovation mechanism is reinforced by broad‐scale payments for tillage reduction; and (3) By identifying and utilizing positive feedback, our simulations suggest large gains in erosion reduction and conservation fund efficiency are possible.
Medicinal plant recipes used in the management of peptic ulcers in Burkina Faso: Ethnobotanical study

Introduction: Peptic ulcer is a real public health problem in both developed and developing countries. Objective: The present study is part of the establishment of a catalog of medicinal plant recipes with antiulcer activity in four cities of Burkina Faso. Methodology: The method of approach was an ethnobotanical survey carried out among traditional health practitioners. It consisted in the preliminary drafting of questionnaires allowing the collection of socio-demographic and ethno-pharmacological data. This was a semi-structured interview with each traditional practitioner. The snowball technique was also used. The collection of our data was carried out in a single pass. Results: At the end of the study, 290 traditional health practitioners were surveyed, with a predominance of men (69.66%) over women (30%). Likewise, 279 recipes of medicinal plants used in the treatment of peptic ulcers were identified. These recipes are made up of 113 species belonging to 48 botanical families. The most represented families were Caesalpiniaceae (9 species) and Combretaceae (8 species). Bark (31%), roots (25%) and leaves (24%) were the most used organs. The decoction (70%) was the predominant mode of preparation and was mainly administered orally (47%). Conclusion: This study constitutes a very valuable source of information for further research in the field of phytochemistry and pharmacology in order to develop improved traditional anti-ulcer drugs.
Application and interpretation of vessel wall magnetic resonance imaging for intracranial atherosclerosis: a narrative review

Background and Objective Atherosclerosis is a systemic disease that occurs in the arteries, and it is the most important causative factor of ischemic stroke. Vessel wall magnetic resonance imaging (VWMRI) is one of the best non-invasive methods for displaying the vascular features of intracranial atherosclerosis. The main clinical applications of this technique include the exploration of the pathogenesis of intracranial atherosclerotic lesions, follow-up monitoring, and treatment prognosis judgment. As the demand for intracranial VWMRI increases in clinical practice, radiologists should be aware of the selection of imaging parameters and how they affect image quality, clinical indications, evaluation methods, and limitations in interpreting these images. Therefore, this review focused on describing how to perform and interpret VWMRI of intracranial atherosclerotic lesions. Methods We searched the studies on the application of VWMRI in the PubMed database from January 1, 2000 to March 31, 2022, and focused on the analysis of related studies on VWMRI in atherosclerotic lesions, including technical application, expert consensus, imaging characteristics, and the clinical significance of intracranial atherosclerotic lesions. Key Content and Findings We reviewed and summarized recent advances in the clinical application of VWMRI in atherosclerotic diseases. Currently accepted principles and expert consensus recommendations for intracranial VWMRI include high spatial resolution, multiplanar two and three-dimensional imaging, multiple tissue-weighted sequences, and blood and cerebrospinal fluid suppression. Understanding the characteristics of VWMRI of normal intracranial arteries is the basis for interpreting VWMRI of atherosclerotic lesions. Evaluating VWMRI imaging features of intracranial atherosclerotic lesions includes plaque morphological and enhancement characteristics. The evaluation of atherosclerotic plaque stability is the highlight of VWMRI. Conclusions VWMRI has a wide range of clinical applications and can address important clinical questions and provide critical information for treatment decisions. VWMRI plays a key role in the comprehensive evaluation and prevention of intracranial atherosclerosis. However, intracranial VWMRI is still unable to obtain in vivo plaque pathological specimens for imaging—pathological comparison is the most significant limitation of this technique. Further technical improvements are expected to reduce acquisition time and may ultimately contribute to a better understanding of the underlying pathology of lesions on VWMRI.
Dynamic Variations in Rumen Fermentation Characteristics and Bacterial Community Composition during In Vitro Fermentation

This study aimed to explore the dynamic variations of rumen fermentation characteristics and bacterial community composition during a 24 h in vitro fermentation. A total of twenty-three samples were collected from original rumen fluid (ORF, n = 3), fermentation at 12 h (R12, n = 10), and fermentation at 24 h (R24, n = 10). Results showed that gas production, concentrations of microbial crude protein, ammonia nitrogen, and individual volatile fatty acids (VFA), as well as total VFA and branched-chain VFA concentrations, were higher in R24 when compared with R12 (p < 0.05). However, no significant differences were observed in acetate to propionate ratio and fermentation efficiency between R12 and R24 (p > 0.05). Bacterial diversity analysis found that Shannon index and Simpson index were higher in R24 (p < 0.05), and obvious clusters were observed in rumen bacterial community between R12 and R24. Taxonomic analysis at the phylum level showed that the abundances of Proteobacteria and Fibrobacteres were higher in R12 than that in R24, and inverse results were observed in Bacteroidetes, Firmicutes, Cyanobacteria, Verrucomicrobia, Lentisphaerae, and Synergistetes abundances. Taxonomic analysis at the genus level revealed that the abundances of Rikenellaceae RC9 gut group, Succiniclasticum, Prevotellaceae UCG-003, Christensenellaceae R-7 group, Ruminococcaceae UCG-002, Veillonellaceae UCG-001, and Ruminococcaceae NK4A214 group were higher in R24, whereas higher abundances of Succinivibrionaceae UCG-002, Ruminobacter, and Fibrobacter, were found in R12. Correlation analysis revealed the negative associations between gas production and abundances of Proteobacteria, Succinivibrionaceae UCG-002, and Ruminobacter. Moreover, the abundances of Firmicutes, Rikenellaceae RC9 gut group, Christensenellaceae R-7 group, and Ruminococcaceae UCG-002 positively correlated with VFA production. These results indicate that both rumen fermentation characteristics and bacterial community composition were dynamic during in vitro fermentation, whereas the fermentation pattern, efficiency, and bacterial richness remained similar. This study provide insight into the dynamics of rumen fermentation characteristics and bacterial composition during in vitro fermentation. This study may also provide a reference for decision-making for the sampling time point when conducting an in vitro fermentation for bacterial community investigation.