Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction under Uncertainty on a Mature Field

Résumé – Prévision de production sous incertitude pour un champ mature – Dans le cadre de l’ingénierie de réservoir, des simulateurs permettent de comprendre et prédire le déplacement des fluides dans le réservoir et ainsi d’optimiser son exploitation. Ces simulateurs prennent en entrée un grand nombre de paramètres qui peuvent être entachés d’incertitudes. Afin d’assurer une production future correcte, la comparaison des différents scénarios d’exploitation possibles doit tenir compte de ces incertitudes. Les prévisions de production ne doivent pas être évaluées en ne considérant qu’un seul cas « moyen » pour chaque scénario mais en intégrant l’incertitude sur les paramètres d’entrée. Dans le cadre de champ mature où un historique de production est disponible, le formalisme Bayésien est bien adapté pour répondre au problème des prédictions sous incertitudes. En effet, il permet de définir les incertitudes, dites a posteriori , sur les entrées du modèle de réservoir en prenant en compte à la fois les données statiques et dynamiques. Ces incertitudes a posteriori peuvent ensuite être propagées afin de calculer des prévisions de production probabilistes pour chaque scénario, tout en respectant la connaissance statique et dynamique du réservoir. Mais l’obtention des incertitudes a posteriori ainsi que la propagation de celles-ci sur les prévisions de production nécessitent un nombre souvent prohibitif de simulations du modèle
Virtual Reality P¯owhiri—Practicing an indigenous welcoming ceremony

P¯owhiri is a traditional welcoming ceremony in M¯aori culture in Aotearoa New Zealand. Certain protocols (tikanga) have to be followed and must be learned. There is a general lack of understanding regarding this due to the scarcity of p¯owhiri. The immersive and experiential nature of Virtual Reality (VR) can be used as a tool to increase understanding and confidence. We have implemented a VR learning tool in the reconstructed context of Te Rau Aroha marae in Bluff which allows for safe practice of p¯owhiri before applying it in a real welcoming ceremony. A cultural evaluation study was conducted first followed by a user study to determine understanding and confidence gains, high-lighting the complexity of the topic. The user study clearly showed that the system was useful to increase participants’ understanding in regards to p¯owhiri as well as their confidence surrounding p¯owhiri. We are confident that our experiences and key findings
Psychedelic drugs in the treatment of anxiety , depression and addiction

E-mail: tor-morten.kvam@so-hf.no Regional Psychiatric Center Moss Østfold Hospital Trust He has contributed with literature searches, and drafting and revision of most of the manuscript. Tor-Morten Kvam is a specialist in psychiatry and senior consultant. The author has completed the ICMJE form and reports the following conflict of interest: He is involved in an international clinical trial of psilocybin in treatment-resistant depression with scheduled startup in autumn 2018. The study is financed by Compass Pathways, which is working to introduce evidence-based practice into mental health care.
The Long-term impact of Covid-19 on student mental health

Background The COVID-19 pandemic and the resulting restrictions placed upon society have had a profound impact on both physical and mental health, particularly for young people.Aims The current study assesses student mental health pre, within and post COVID.Method Eight hundred and fourteen first year Undergraduate students completed a battery of self-report questionnaires to assess for depression, mobile phone use, self-esteem, resilience and social support with data being collected over a three year period. The data from each year was compared (216, 218 and 380 students respectively). Results A MANOVA revealed that COVID-19 had a significant impact on self-reported levels of depression, smartphone use, Self-esteem, resilience and social support. Multiple regression analysis revealed that Smart phone use and resilience were significant predictors of levels of depression.Conclusions This research suggests that COVID-19 has had a major impact upon student mental health, and that we have not yet seen a recovery in our ‘post-Covid’ times.
Optimal Rotor Shape Design of Asymmetrical Multi-Layer IPM Motors to Improve Torque Performance Considering Irreversible Demagnetization

– A study on the multi-objective optimization of Interior Permanent-Magnet Synchronous Motors (IPMSMs) with 2, 3, 4 and 5 flux barriers per magnetic pole, based on Genetic Algorithm (GA) is presented by considering the aspect of irreversible demagnetization. Applying the 2004 Toyota Prius single-layer IPMSM as the reference machine, the asymmetrical two-, three-, four-and five-layer rotor models with the same amount of Permanent-Magnets (PMs) is presented to improve the torque characteristics, i.e., reducing the torque pulsation and increasing the average torque. A reduction of the torque pulsations is achieved by adopting different and asymmetrical flux barrier geometries in each magnetic pole of the rotor topology. The demagnetization performance in the PMs is considered as well as the motor performance; and analyzed by using ﬁ nite element method (FEM) for veri ﬁ cation of the optimal solutions.
VigilNet: An Integrated Sensor Network System for Energy-E(cid:14)cient Surveillance

This paper describes one of the major e(cid:11)orts in the sensor network community to build an integrated sensor network system for surveillance missions. The focus of this e(cid:11)ort is to acquire and verify information about enemy capabilities and positions of hostile targets. Such missions often involve a high element of risk for human personnel and require a high degree of stealthiness. Hence, the ability to deploy unmanned surveillance missions, by using wireless sensor networks, is of great practical importance for the military. Because of the energy constraints of sensor devices, such systems necessitate an energy-aware design to ensure the longevity of surveillance missions. Solutions proposed recently for this type of system show promising results through simulations. However, the simpli(cid:12)ed assumptions they make about the system in the simulator often do not hold well in practice and energy consumption is narrowly accounted for within a single protocol. In this paper, we describe the design and implementation of a complete running system, called VigilNet, for energy-e(cid:14)cient surveillance. The VigilNet allows a group of cooperating sensor devices to detect and track the positions of moving vehicles in an energy-e(cid:14)cient and stealthy manner. We evaluate VigilNet middleware components and integrated system extensively on a network of 70 MICA2 motes. Our results show that our surveillance strategy is adaptable and achieves a signi(cid:12)cant extension of network lifetime. Finally, we share lessons learned in building such an integrated sensor system
Iterative Keyword Optimization

Short keyword queries are one of the main tool of any user or bot seeking information through the ubiquitous search engines. Automated keyword optimization relies primarily on the analysis of data repositories in order to ﬁnd a small set of key-words that identify the topic discussed and relevant documents. However, most search engines, available today on the Web are opaque, providing little to no information about their methods and the searched repository. In this paper, we propose an automated iterative optimization of short keyword queries in order to improve information retrieval from opaque (black box) search engines. The use case considered involves the retrieval of relevant posts from online social media for a given a news article (claim) discussed online. The proposed algorithm iteratively selects keywords while querying the search engine and comparing a small set of retrieved posts to the given news article using a mean relevance error based on word embedding. We demonstrate the proposed algorithm while building a Fake News dataset from claims (collected from fact-checking websites) and their associated tweets. The proposed mean relevance error was found to be accurate for differentiating between relevant and irrelevant posts (0.9 AUC). The optimized queries produce similar results to manually extracted keywords and outperform TF-IDF based methods and POS tagging.
PODAR: Modeling Driver’s Perceived Risk with Situation Awareness Theory

Proper estimation of driver perceived risk is the key to designing human-like planning and control algorithms for autonomous vehicles to generate human-like behaviors and gain people’s trust. By introducing human situation awareness theory, this paper proposes a concise, effective, and general-scenarios applicable model, termed Potential Damage Risk (PODAR), to estimate perceived risk during driving. PODAR consists of two components: potential damage and attenuation functions, corresponding to the “uncertainty” and “adverse consequences” in risk definition. Trajectories prediction for both the host and surrounding objects are applied first to obey the situation awareness theory, and the potential damage is calculated at each predictive timestep by assuming a virtual collision. Then temporal and spatial attenuation functions are used to transfer damages to risk. Numerical tests under typical driving situations, including side passes, car-following, and conflicts, have proved that PODAR can provide rational risks consistent with human cognition. * Codes for PODAR can be found here: https://github.com/ChenChenGith/PODAR
Influence of Peat on the Field Bioremediation Efficiency of Aged Oily Sludge in Oil Field

Peat was used as biosubstrate and mixed with aged oily sludge in the ratio of 1:1,and the field experiment was conducted to study the influence of peat on the bioremediation of aged oily sludge by landfarming.The results showed that after 26 months of field test,the bioremediation efficiency of aged oily sludge was significantly enhanced by adding peat,and the total petroleum hydrocarbons(TPH) of oily sludge was reduced by 38.9%. The physicochemical properties of oily sludge was obviously improved,the salinity and alkaline concentration decreased significantly with the pH being reduced from 8.7 to 6.9 and salinity from 20.3 g/kg to 7.3 g/kg,the content of organic matter increased by 17.3%,and the available nutrient elements of N,P,K increased significantly.Compared with natural attenuation,the enhanced bioremediation of aged oily sludge with peat could increase microbial quantity and biodiversity.
DigitalCommons@SHU DigitalCommons@SHU

: e-Learning is a sought-after option for learners during pandemic situations. In e-Learning platforms, there are many courses available, and the user needs to select the best option for them. Thus, recommender systems play an important role to provide better automation services to users in making course choices. It makes recommendations for users in selecting the desired option based on their preferences. This system can use machine intelligence (MI)-based techniques to carry out the recommendation mechanism. Based on the preferences and history, this system is able to know what the users like most. In this work, a recommender system is proposed using the collaborative ﬁltering mechanism for e-Learning course recommendation. This work is focused on MI-based models such as K-nearest neighbor (KNN), Singular Value Decomposition (SVD) and neural network–based collaborative ﬁltering (NCF) models. Here, one lakh of Coursera’s course review dataset is taken from Kaggle for analysis. The proposed work can help learners to select the e-Learning courses as per their preferences. This work is implemented using Python language. The performance of these models is evaluated using performance metrics such as hit rate (HR), average reciprocal hit ranking (ARHR) and mean absolute error (MAE). From the results, it is observed that KNN is able to perform better in terms of higher HR and ARHR and lower MAE values as compared to other models.
Land relations in Bulgaria through the lens of agricultural clustering in 2003 and 2020

Mihailova, M. & Yovchevska, P. (2023). Land relations in Bulgaria through the lens of agricultural clustering in 2003 and 2020 . Bulg. J. Agric. Sci., 29 (Supplement 1), 29–38 The study of land relations is part of the process of studying the nature and state of economic relations. Using clusters on level of municipality we aim to understand and trace what affects the state of land use in Bulgaria. After the macro social trans - formation in the agriculture of Bulgaria, certain inequalities among the economic subjects matured and developed dynamically.
Interactive Effects of Endothelial Colony-Forming Cells with Adipose Mesenchymal Stem Cells on the Pancreas of Type 2 Diabetic Rat Model: A Histological Study

Background: Adipose mesenchymal stem cells (AMSCs) appeared as a promising therapy for type 2 diabetes (T2D). However, single AMSCs infusion could be insufficient to exert sustained antidiabetic effects. Endothelial colony forming cells (ECFCs) are implicated in various biologic processes as vascular homeostasis, neovascularization and tissue regeneration. Aim of Work: Assessing and comparing the reparative effect of AMSCs on induced T2D rats at different time points with the potential effect of cotherapy with ECFCs. Materials and Methods: Four rats of a total sixty adult male albino rats were used for AMSCs and ECFCs preparation and labelling with PKH26. Animals were divided into 4 main groups: I (control), II (T2D); received high fat diet for 5 weeks then received single intraperitoneal injection of STZ (40mg/kg) and continued HFD for one week. Group III (AMSCs treated) diabetic rats administered AMSCs and group IV (combined, AMSCs +ECFCs) diabetic rats received AMSCs+ECFCs. One rat from groups III and IV with their corresponded control were sacrificed 1 week after cells injection to assess homing at pancreatic tissue and the remaining rats were sacrificed after 2&6 weeks. Biochemical analysis and histological studies including H&E stain, insulin, caspase-3, CD146, Sox9 immunohistochemical stains & TEM were done followed by morphometric measurements and statistical analysis. Results: T2D rats revealed biochemical and histological derangement in islets’ β cells and vascularity with areas of stratification in pancreatic ducts. Rats treated with AMSCs only or combined with ECFCs revealed improved insulin sensitivity, glucose homeostasis and nearly normal histological features after 2 weeks. After 6 weeks biochemical and histological ameliorations regressed in AMSCs treated rats. On the contrary, cotherapy of AMSCs +ECFCs extended this anti-diabetic effect. Conclusion: ECFCs cotherapy with AMSCs prolonged and enhanced the anti-diabetic effect of AMSCs in T2D by enhancement of islets cells regeneration, islets vasculature, and probably by duct epithelium trans-differentiation.
Significance of Pelvic Fluid Observed during Ovarian Cancer Significance of Pelvic Fluid Observed during Ovarian Cancer Screening with Transvaginal Sonogram Screening with Transvaginal Sonogram

: The primary objective was to examine the role of pelvic ﬂuid observed during transvaginal ultrasonography (TVS) in identifying ovarian malignancy. A single-institution, observational study was conducted within the University of Kentucky Ovarian Cancer Screening trial from January 1987 to September 2019. We analyzed true-positive (TP), false-positive (FP), true-negative (TN)
Operation-Level Early Stopping for Robustifying Differentiable NAS

Differentiable NAS (DARTS) is a simple and efficient neural architecture search method that has been extensively adopted in various machine learning tasks. Never-theless, DARTS still encounters several robustness issues, mainly the domination of skip connections. The resulting architectures are full of parametric-free operations, leading to performance collapse. Existing methods suggest that the skip connection has additional advantages in optimization compared to other parametric operations and propose to alleviate the domination of skip connections by eliminating these additional advantages. In this paper, we analyze this issue from a simple and straightforward perspective and propose that the domination of skip connections results from parametric operations overfitting the training data while architecture parameters are trained on the validation data, leading to undesired behaviors. Based on this observation, we propose the operation-level early stopping (OLES) method to overcome this issue and robustify DARTS without introducing any computation overhead. Extensive experimental results can verify our hypothesis and the effectiveness of OLES.
COUNTRIES AND REGIONS IN THE GLOBAL DIMENSIONS FACTORS INFLUENCING PRIVATE PARTICIPATION IN PUBLIC INFRASTRUCTURE PROJECTS: THE SOUTH ASIAN EXPERIENCE IN THE GLOBAL CONTEXT

This paper takes a global look at the main reasons why both public and private entities wish to collaborate on infrastructure projects in the form of public-private partnerships. It uses a cross-country panel regression for five South Asian countries between 1997 and 2018. The study finds that PPPs tend to be more common in countries with higher GDP per capita and larger market size. The study suggests that countries with rising exchange rate and countries where governments suffer from heavy external debt burdens are less likely to have PPPs. Countries with substantial foreign exchange reserves and development aid, are found to be less eager to pursue PPPs. The study provides evidence of the importance of the rule of law and control of corruption. Finally, the financial crisis of 2007–2008 is not proved to have negative effect on PPP flows to South Asian countries, manifesting their strong resilience to financial crisis shocks.
Educating Adolescent Reproductive Health and Sexuality through Educating Adolescent Reproductive Health and Sexuality through the Instagram Account @tabu.id the Instagram Account @tabu.id

The @tabu.id Instagram account presents itself as a channel for young internet users to obtain various information that are of significance to their lives as adolescents, including on topics of reproductive health and sexuality. Conducted using qualitative methods, this research utilized a virtual ethnographic (netnographic) approach. Data pertaining to @ tabu.id’s treatment of adolescent reproductive health and sexuality was obtained through a participatory observation of their Instagram account, as well as interviews with the co-founders, administrators, and followers. This study found that educating issues of reproductive health and sexuality to adolescents was more effectively carried out visually through social media, as it is the space they spend most of their time in. Recognizing Instagram being among the five digital applications most accessed by Indonesians, @ tabu.id has succeeded in educating adolescents by optimizing Instagram’s feed and story features to convey three major issues: puberty, dating violence, and Sexually-Transmitted Diseases (STDs).
Neural Substrates of Empathic Accuracy in People With Schizophrenia

were signiﬁcantly more correlated with EA in controls compared with patients. High expressivity in targets was associated with better EA in controls but not in patients. High expressivity was associated with increased brain activity in a large set of regions in controls (eg, fusiform gyrus, medial prefrontal cortex) but not in patients. Discussion: These results use a naturalistic performance measure to conﬁrm that schizophrenic patients demonstrate impaired ability to understand others’ internal states. They provide novel evidence about a potential mechanism for this impairment: schizophrenic patients failed to capitalize on targets’ emotional expressivity and also demonstrate reduced neural sensitivity to targets’ affective cues.
Pro ﬁ ciency of independent directors: an Indian corporate governance perspective

Purpose – Independent directors (IDs) in India are required to qualify for the online pro ﬁ ciency self-assessment test to acquire or retain their position on the corporate boards. The purpose of this paper was to examine the perceived positive and negative aspects of the new mandate for the overall quality of corporate boardsinIndia. Design/methodology/approach – This study used a qualitative methodology and applied the interpretative phenomenological analysis approach. Data was collected from board members using semi-structured interviews. Findings – This study revealed the positive and negative perceived aspects of the mandatory policy prescription of pro ﬁ ciency test for IDs. It was found that the participants emphasized training and mentoring programs for theIDs. Practical implications – Drawing upon the actual board experiences of the participants, this study has the potential to assist policymakers in making regulations that are more effective in enhancing the quality of corporate boards. The example of action taken as well as the criticism or positive aspects pointed out can generate interest in other legislators. Originality/value – The conceptof pro ﬁ ciency testforIDs is unique to India.A review of literature did not reveal the existence of any regulatory provisions for a mandatory uniform test for examining the pro ﬁ ciency of IDs, in anycorporate lawjurisdictionapartfrom India.
Improvement of stratospheric balloon GPS positioning and the impact on gravity wave parameter estimation for the Concordiasi campaign in Antarctica

Gravity waves (GWs) play an important role in transferring energy and momentum from the troposphere to the middle atmosphere. However, shorter‐scale GWs are generally not explicitly resolved in general circulation models but need to be parameterized instead. Super pressure balloons provide direct access to measure GW characteristics as a function of wave intrinsic frequency that are needed for these parameterizations. The 30 s sampling rate of the GPS receivers carried on the balloons deployed in the 2010 Concordiasi campaign in the Antarctic is much higher compared to the previous campaigns and can cover the full range of the GW spectrum. Two among 19 balloons are also equipped with the dual‐frequency GPS receivers initially developed for GPS radio occultation research in addition to the single‐frequency receivers, which are expected to provide better positions for GW parameter estimations. Improvements of the positions are significant, from ~3–10 m horizontal and ~5 m vertical to ~0.1 and 0.2 m, respectively, which makes it possible to resolve the Eulerian pressure independently of altitude for the intrinsic phase speed estimation. The lower position accuracy in the previous analysis of campaign results from the single‐frequency GPS receiver was primarily due to a problem with the onboard clock that is not present in the new results. The impacts of the position improvements on the final GW parameters are highlighted, with larger difference in momentum flux for the shorter‐scale GWs than for the longer scale GWs and significant difference in the distribution of the intrinsic phase speed.