Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Submerged Vegetation Density on Turbulent Flow Characteristics in an Open Channel

The vegetation density λ affects turbulent flow type in the submerged vegetated river. This laboratory study investigates different types of vegetated turbulent flow, especially the flow at 0.04 < λ < 0.1 and λ = 1.44 by setting the experimental λ within a large range. Vertical distributions of turbulent statistics (velocity, shear stress and skewness coefficients), turbulence kinetic generation rate and turbulence spectra in different λ conditions have been presented and compared. Results indicate that for flow at 0.04 < λ < 0.1, the profiles of turbulent statistics manifest characteristics that are similar to those of both the bed-shear flow and the free-shear flow, and the turbulence spectral curves are characterized with some slight humps within the low-frequency range. For λ = 1.44, the turbulent statistics above the vegetation top demonstrate the characteristics of boundary-shear flow. The spectral curves fluctuate intensely within the low-frequency range, and the spectra of low-frequency eddies above vegetation top are significantly larger than the values below. The change of turbulent flow type induced by an increase of λ would increase the maximum value of turbulence kinetic generation rate GS and change the point where GS is vertically maximum upwards to the vegetation top.
Regional frequency analysis of extreme storm surges using the extremogram approach

Abstract. To withstand coastal flooding, protection of coastal facilities and structures must be designed with the most accurate estimate of extreme storm surge return levels (SSRLs). However, because of the paucity of data, local statistical analyses often lead to poor frequency estimations. The regional frequency analysis (RFA) reduces the uncertainties associated with these estimations by extending the dataset from local (only available data at the target site) to regional (data at all the neighboring sites including the target site) and by assuming, at the scale of a region, a similar extremal behavior. In this work, the empirical spatial extremogram (ESE) approach is used. This is a graph representing all the coefficients of extremal dependence between a given target site and all the other sites in the whole region. It allows quantifying the pairwise closeness between sites based on the extremal dependence. The ESE approach, which should help with have more confidence in the physical homogeneity of the region of interest, is applied on a database of extreme skew storm surges (SSSs) and used to perform a RFA.
Fast Solution of Low-Frequency Problems Using Efficient Form of MLACA with Loop-Tree Basis Functions

─ In this paper, an efficient scheme of numerical method is proposed to solve the low frequency (LF) problems, which combines the loop-tree basis functions with an efficient form of multilevel adaptive cross approximation (EFMLACA) algorithm. It utilizes the loop-tree basis functions to divide the vector part and scalar part of the impedance matrix. Meanwhile, the scalar part is frequency normalized. Through this operation, it can avoid the low frequency breakdown problem. In order to accelerate the matrix vector multiplication, the EFMLACA algorithm is applied. Meanwhile, the compressed block decomposition (CBD) preconditioner is applied to improve the condition number of poor convergence problems. The numerical results demonstrate that the memory requirement and computation time required for a matrix vector multiplication of EFMLACA algorithm is much less than that of MLACA and ACA-SVD. Moreover, the matrix vector multiplication of EFMLACA algorithm is also much more efficient than that of low-frequency multilevel fast multipole algorithm (LF-MLFMA). Index Terms ─ Compressed block decomposition (CBD), efficient form of multilevel adaptive cross approximation (EFMLACA) algorithm, low frequency.
Psychological distress and associated factors among Palestinian advanced cancer patients: A cross-sectional study

Objective There is limited research exploring the experiences of people living with advanced cancer in the Gaza Strip (GS), Palestine. Thus, this study aimed to determine the level of psychological distress, anxiety, and depression among advanced cancer patients in the GS and identify factors associated with a high level of distress. Materials and methods A secondary analysis was performed using primary data from a larger study focusing on supportive care needs in advanced cancer patients in GS. Three hundred sixty-one patients agreed to participate and filled out the Distress Thermometer (DT) and the Hospital Anxiety and Depression Scale (HADS). Multivariate logistic regression was conducted to identify factors associated with high distress levels. Results Over two-thirds of advanced cancer patients (70.6%) reported a high level of distress. They also reported a significantly higher distress level than patients with early cancer (96.5 vs. 3.5%; p = 0.001). About 92.8% of participants reported depression and anxiety symptoms. Physical, emotional, and practical problems were the primary sources of distress. Breast cancer patients were more likely to have psychological distress than colon and stomach cancer patients. Newly diagnosed patients had a higher level of anxiety, depression, and distress than those who had a cancer diagnosis for an extended period. Conclusion Patients with advanced cancer in the GS exhibited a significantly higher level of psychological distress, depression and anxiety than patients with advanced cancer elsewhere. Efforts should be made to identify psychological distress as a routine part of oncology practice. Future research should further explore the causes of psychological distress in cancer patients in conflict zones and feasible mitigation strategies.
The effect of dominant index finger fatigue on the force production of contralateral homologous muscle and biceps brachii

Non-local muscle fatigue (NLMF) has been examined but the literature is inconsistent. Differences in the protocols contribute to the inconsistent results. Most NLMF studies focus on large muscle groups only (elbow flexors or knee extensors), with few NLMF studies involving small muscles as either fatigued or tested muscles. Furthermore, the NLMF effect from a small fatigued muscle to a larger heterologous muscle is unknown. Hence, the objective of the present study was to examine the effect of small muscle fatigue on the force production and activation of contralateral homologous and a larger heterologous muscles.
Working from home and its challenges for transformational and health-oriented leadership

The Covid-19 crisis forced many employees to abruptly relocate their workplace from the office to their homes. As working from home is expected to remain part of our working world, consequences for leadership need to be examined. Our study aims to investigate the concrete challenges regarding the feasibility of transformational leadership and health-oriented leadership in this remote setting. Therefore, we collected quantitative and qualitative data of 23 leaders and 18 employees from various organizations in Germany. Both groups were asked to report their experiences during working from home in comparison to the traditional office setting. Findings of our study provide a comprehensive understanding regarding the underlying mechanism that impede transformational and health-oriented leadership in the remote setting. Among them participants reported a lack of social presence, limited informal chats, communication difficulties and lack of mutual trust. Based on our findings we derive practical implications for leaders and HR practitioners.
Equilibria with Discontinuous Preferences

We prove new equilibrium existence results for games and economies with discontinuous and non-ordered preferences. To do so, we introduce the notion of “continuous inclusion property”, and prove new fixed point theorems which extend and generalize the results of Fan (1952), Glicksberg (1952), Browder (1968), and Gale and Mas-Colell (1975). Our results also extend the previous work of Yannelis (1985) and Wu and Shen (1996).
A comparative evaluation of operational efficiency of wood industry using data envelopment analysis and Malmquist productivity index

The wood industry, as a traditional sector, represents a very important part of the economy in terms of ensuring a sustainable development of society and transition to a low-carbon society in both countries studied, Slovenia and Croatia. For its further development, it is crucial to know the current position of the industry. The best way to achieve this is an analysis of financial data and international comparative evaluation of its operational efficiency. The aim of the research is to compare the relative efficiency of the wood industry using Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MI), focusing on the Slovenian and Croatian wood industry sectors (C16 and C31) for a recent five-year period (from 2013-2017). With this purpose, the combined measure DEA/MI was applied. The analysis includes only the highest rated companies with more than fi ve employees, divided into 12 clusters regarding the company size. As a result, it was established that clusters CRO-C31- micro, CRO-C16-micro and SI-C16-larger have the highest operational efficiency, due to the effects of different financial indicators, especially activity and liquidity ratios. In general, within the grouped clusters regarding country and subsector, groups SI-C16 and CRO-C31 achieve the highest values for the average of weighted score of efficiency, while CRO-C16 achieves the lowest values.
Effect of pasteurization treatment and calamansi ( Fortunella japonica ) juice on the physicochemical , microbiological , and sensory characteristics of black stem sugarcane juice

Sugarcane juice deteriorates rapidly as enzymatic browning and microbial spoilage take place soon after juice extraction. Therefore, the effects of pasteurization treatment (70oC for 10 minutes) and addition of calamansi juice at different concentrations (0, 1.0, 1.5, and 3.0%, v/v) on the physicochemical (color, pH, total soluble solid, titratable acidity, and peroxidase enzymatic activity), microbiological (total plate count, yeast and mold), and sensory characteristics of black stem sugarcane juice were investigated. Quantitative descriptive analysis (QDA®) was conducted by eight trained panelists to determine the intensity of the sensory attributes of sugarcane juice, such as brownish color, grassy aroma, citrus aroma, sweetness, sourness, sweet aftertaste, and overall acceptability using a 15 cm unstructured line scale. The results showed that the pasteurization treatment significantly (p ˂ 0.05) increased the L* value (lightness) of sugarcane juice at 0% (v/v) of calamansi juice. Increasing the concentration of calamansi juice decreased the pH value and increased the titratable acidity of the sugarcane juice at 5% significance level. The relative effectiveness in reducing the peroxidase (POD) enzymatic activity and microbial load of sugarcane juice was shown after the addition of calamansi juice and pasteurization treatment, respectively. Significant (p ˂ 0.05) changes in the intensity of brownish color, grassy aroma, and sweet aftertaste of sugarcane juice were observed after the pasteurization treatment at 0% (v/v) calamansi juice; whereas, the addition of calamansi juice at different concentrations increased the intensity of citrus aroma and sourness, but decreased the intensity of grassy aroma and sweet aftertaste of sugarcane juice at 5% significance level. Hence, pasteurization treatment coupled with the addition of 1.5% (v/v) calamansi juice was effective in achieving microbial stability and consumer’s acceptability on sugarcane juice.
seq 2 graph : A Neural Approach to Scene Graph Generation from Natural Language

In recent years, research has explored the possibility of encoding image semantics in graphbased representations that capture both high and low-level features of the images they describe. These encodings, generally known as ‘scene graphs’ [13], can be used in a variety of applications from image search and retrieval to image generation [8] [10]. Given the usefulness of these scene graphs, recent research has explored the possibility of not only creating scene graphs from images [2], but also of generating scene graphs from a natural language description of a scene [1]. This is especially poignant in applications related to image retrieval and scene generation [8], as natural language descriptions present an obstacle in achieving consistency and accuracy in scene generation and image retrieval systems. In this paper, we present our approach towards a neural end-to-end system for parsing paragraph level natural language descriptions of images into scene graphs. Overall, though we still believe our approach could work, we were unable to successfully build and test a fully viable end-to-end neural solution to this problem.
The Cost of Workplace Flexibility for High-Powered Professionals

The authors study the pecuniary penalties for family-related amenities in the workplace (e.g., job interruptions, short hours, part-time work, and flexibility during the workday), how women have responded to them, and how the penalties have changed over time. The pecuniary penalties to behaviors that are beneficial to family appear to have decreased in many professions. Self-employment has declined in many of the high-end professions (e.g., pharmacy, optometry, dentistry, law, medicine, and veterinary medicine) where it was costly in terms of workplace flexibility. The authors conclude that many professions have experienced an increase in workplace flexibility, driven often by exogenous factors (e.g., increased scale of operations and shifts to corporate ownership of business) but also endogenously because of an increased number of women. Workplace flexibility in some positions, notably in the business and financial sectors, has lagged.
Communication with patients in palliative care: favoring cheerfulness and optimism

The objective of this study was to know the expectations of patients who are in palliative care regarding communication with the nursing team. The data were collected during the first semester of 2005 through half-structured interviews among 39 oncological patients with no healing prognosis subjected to palliative chemotherapy in a hospital institution of the city of Sao Paulo. After transcription of the speeches, the data were analyzed according to the methodology of content analysis. From the interviewees' speeches four categories emerged. Interpersonal communication proved to be an important attribution to palliative care, with particular attention given to the professional's nonverbal signs for establishing a link of trust, the need for a compassionate presence, the desire not to focus the interaction and the relationship only on the disease and on death and to concentrate instead on cheerful verbal communication favoring optimism and good humor.
NUMERICAL SIMULATION OF ICE ACCRETION ON THE LEADING EDGE OF AERODYNAMIC PROFILES

The main goal of this work is the simulation of the ice accretion on the leading edge of aerodynamic profiles. The ice growth occurs when super cooled water droplets hit the airfoil surface during certain flying conditions. The well-known panel method is used to obtain the pressure coefficient and the velocity distribution on the surface. The local heat transfer coefficient is obtained by applying the Smith and Spalding method for the thermal boundary layer calculation and an ordinary differential equation is solved to compute the local Nusselt number. The ice accretion area and the collection efficiency are determined through the calculation of the water droplets trajectories hitting the surface. Each particle is considered a rigid sphere that doesn’t affect the flow, but undergoes aerodynamic drag. An energy balance is done in each control volume on the body surface considering evaporative cooling, conduction, convection, phase change and kinetic heating. The amount of water that freezes inside the control volume is determined with a mass balance that comprehends evaporation, splashing caused by aerodynamic drag, droplets impingement and water shedding on the surface. Finally, the ice thickness computed by the mass balance is added to respective panel forming a new profile. The results obtained compare very well with the ones available in the literature. Computational strategies are being used in order to have a computer code able to be reusable and prone to addition of new improvements, keeping the original computational abstraction and efficiency.
REDESCRIPTION OF CHIASMOCLEIS ALBOPUNCTATA ( BOETTGER ) AND DESCRIPTION OF A NEW SPECIES OF CHIASMOCLEIS ( ANURA : MICROHYLIDAE )

We present the redescription and the geographical distribution of Chiasmocleis albopunctata (Boettger). Chiasmocleis mehelyi sp. nov., a small, related species, is described from Miranda, State of Mato Grosso do Sul, Brazil. Comparisons are made between these two species and Chiasmocleis centralis Bokermann.
THE STATE SPACE MYSTERY IN MULTIPLE-VALUED LOGIC CIRCUIT WITH LOAD PLANE – PART I

Viktor ŠPÁNY, Pavol GALAJDA, Milan GUZAN Department of Electronics and Multimedial Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Park Komenského 13, 041 20 Košice, tel. 055/602 4169, E-mail: Pavol.Galajda@tuke.sk Department of Theoretical Electrotechnics and Electrical Measurement, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Park Komenského 3, 043 89 Košice, tel. 055/602 2706, E-mail: guzan@tuke.sk
Dependenceof thehigh-latitude lower thermospheric wind vertical vorticity and horizontal divergence on the interplanetary magnetic fi

We analyze the vertical component of vorticity and the horizontal divergence of the high-latitude neutral wind field in the lower thermosphere during the southern summer time for different interplanetary magnetic field (IMF) conditions with the aid of the National Center for Atmospheric Research thermosphere ionosphere electrodynamics general circulation model, with the following results. (1) The mean neutral wind pattern in the high-latitude lower thermosphere is dominated by rotational flow, imparted primarily through the ion drag force rather than by horizontally divergent flow. (2) The vertical vorticity depends on the IMF. (3) The difference vertical vorticity, obtained by subtracting values with zero IMF from those with nonzero IMF, is much larger than the difference horizontal divergence for all IMF conditions. (4) The effects of IMF penetrate down to 106 km altitude. To determine the processes forcing strong rotational flow in the high-latitude lower thermospheric wind fields, a term analysis of the vorticity equation is also performed, with the following results. (1) The primary forcing term that determines variations of the vertical vorticity is ion drag. This forcing is closely related to the flow of field-aligned current between the ionosphere and magnetosphere. Significant contributions to variations of the vorticity, however, can be made by the horizontal advection term. (2) The effects of the IMF on the ion drag forcing are seen down to around 106 km altitude. (3) The continual forcing of magnetic zonal mean By-dependent vertical vorticity by ion drag can lead to strong polar vortices.
Ethanolic Extract of Chrysophyllum albidum Stem Bark Prevents Alloxan-Induced Diabetes

Chrysophyllum albidum (C. albidum) is traditionally used for the treatment of diabetes, but there is a paucity of scientific evidence to support its use. This study investigated the effect of the ethanolic extract of Chrysophyllum albidum stem bark (EECA) on alloxan-induced diabetic rats. Normal and alloxan-induced diabetic rats were randomly divided into groups and treated with 100-200 mg/kg EECA for 7, 14 and 28 days respectively. Metformin (150 mg/kg) was used as the standard control. Blood samples were collected at the end of treatment for glucose test, while serum samples were extracted and assessed for high density lipoprotein (LDLC), triglyceride (TG) low density lipoprotein cholesterol (LDLC) and total cholesterol (TC). Pancreas was excised and evaluated for oxidative stress indexes. Blood glucose, serum TG, LDL-C and TC levels were significantly (p<0.001) increased whereas HDL-C levels were significantly (p<0.001) decreased in diabetic rats when compared to non-diabetic. Also, pancreatic malondialdehyde levels were significantly (p<0.001) increased whereas superoxide dismutase, glutathione, catalase, and glutathione peroxidase levels were significantly (p<0.001) decreased in diabetic rats when compared to non-diabetic control. However, alterations in the aforementioned parameters were reversed significantly in a dose and time-dependent fashion in diabetic rats treated with 100 mg/kg (p<0.05), 200 mg/kg (p<0.01) and 400 mg/kg (p<0.001) of EECA for 7, 14 and 28 days respectively when compared to diabetic control. EECA showed potential as remedy for diabetes which supports its use in folklore for the treatment of diabetes.
Differential microbiota network in gingival tissues between periodontitis and periodontitis with diabetes

Periodontitis and diabetes mellitus (DM) have a bidirectional relationship. Periodontitis is initiated by dysbiosis of oral microorganisms, and in particular, the characteristics of the microorganisms that have penetrated the tissue are directly related to the disease; therefore, we investigated the effect of DM on intragingival microbial profiling of patients with periodontitis. A total of 39 subjects were recruited and divided into three groups in this case control study as follows: healthy (NA, 10), periodontitis only (PD, 18), and periodontitis with DM (PD_DM, 11). Gingival tissue was collected, DNA was extracted, and whole-genome sequencing was performed. PD and PD_DM showed different characteristics from NA in diversity and composition of the microbial community; however, no difference was found between the PD nad PD_DM. PD_DM showed discriminatory characteristics for PD in the network analysis. PD showed a network structure in which six species were connected, including three red complex species, and PD_DM’s network was more closely connected and expanded, with six additional species added to the PD network. Although DM did not significantly affect α- and β-diversity or abundance of phyla and genera of microbiota that invaded the gingival tissue of patients with periodontitis, DM will affect the progression of periodontitis by strengthening the bacterial network in the gingival tissue.
Illness Perceptions and Depression in Relation to Self-care Behaviour among Type 2 diabetes Patients in a Referral Hospital in Kigali-Rwanda

Background: This paper describes illness perceptions, communication and depression in relation to self-care behaviour among Type 2 diabetes patients, collected from a referral hospital in Kigali, Rwanda between 14 December 2010 and 28 February 2011. Methods: A descriptive cross-sectional study explored the relationships between interpersonal communications assessed using the Interpersonal Processes of Communication of Care in Diverse Population questionnaire; depression assessed using the Centre for Epidemiological Studies Depression Scale; illness beliefs assessed using the Revised Illness Perceptions Questionnaire; and self-care behaviour assessed using the Summary of Diabetes Self-Care Activities questionnaire. Self-regulatory model of illness perceptions, with a focus on cognitive representation, was the conceptual framework used to guide this study. We recruited 86 participants. Results: Participants perceived type 2 diabetes as a cyclical and chronic condition associated with serious but controllable consequences. Time cyclical, personal control and depression were independently associated with self-care behaviour. Conclusion: The findings confirm that depression and illness beliefs influence self-care behaviour. Keywords: Illness perceptions, depression, among type 2 diabetes patients