Miracle-dz/UniFAR-FTUs huggingface dataset:
Green Function of the Laplacian for the Neumann Problem in R n

By analogy with the Green function for the Dirichlet problem for a domain , one considers the Green type function for the Neumann problem for . We obtain the Green type function for the positive half-space of R n and use it to solve the Neumann problem. The cases where is the positive half space of R 2 and of R 3 are analyzed in details under new hypotheses.
Numerical modelling of nonlinear and degenerate diffusion equations on connected graphs: application to moisture dynamics in non-woven fibrous strip networks

A numerical model of a nonlinear and degenerate diffusion equation on connected graphs, arising in a diversity of industrial applications, is presented. This paper shows that concurrently using a staggered finite volume spatial discretization with an analytical solution-based flux evaluation method and an operator-splitting technique computes stable and physicallyconsistent numerical solutions to the equation. A demonstrative application example of the numerical model to moisture dynamics in a hypothetical non-woven fibrous strip network under an evaporative environment is presented in order to show its versatility. Mathematical issues to be addressed in a future for better comprehending the model are finally discussed.
A Blended Approach to Analyze Indian Stock Market during COVID-19

: The coronavirus (COVID-19) outbreak has proven to be one of the most defining health and socio-economic crisis of this century. The e ff ect of the coronavirus pandemic on the Indian economy has been particularly disturbing. This work blends statistical and semantic approaches to analyze the e ff ect of the COVID-19 pandemic on the Indian stock market. It empirically investigates the impact of the significant events such as lockdown, unlock, and vaccination announcements on eight key NIFTY-50 sectors of the Indian stock market, using event-based statistical analysis. The micro blogging platform Twitter is deployed to extract COVID-19 related tweets, pertaining to the Indian stock market, and perform sentiment analysis to analyze and understand the general sentiment of consumers towards the stock market. Results and detailed Inferences are drawn from these two completely di ff erent facets viz. the objective results drawn from the stock market and the subjective perspectives drawn from the social media in order to holistically analyze the impact of the COVID 19 pandemic on the Indian stock market.
Aortic-brachial stiffness mismatch as potential marker of subclinical arterial damage in patients with rheumatoid arthritis

Aortic-brachial stiffness mismatch is a potential new marker of a subclinical vascular damage that has never been studied in patients with rheumatic diseases. The aim of the study was to assess the frequency of arterial stiffness mismatch in rheumatoid arthritis (RA) and to evaluate its clinical associations. Materials and Methods. The study group included 85 patients with RA (males 22.4 %, aged 59.7 ± 14.3 years, hypertension in 65 %, mean disease activity score (DAS-28 (C-reactive protein) 3.7 ± 1.1), and the control group included 40 subjects matched by gender, age and risk factors. The study methods included measurements of clinical and ambulatory brachial and aortic blood pressure (BP) (BPLab-Vasotens), arterial stiffness parameters parameters (applanation tonometry, SphygmoCorAtCor), cardio-ankle vascular index (VaSera) and cardio-vascular risk assessments using the SCORE, American College of Cardiology/American Heart Association (ACC/AHA) 2013 pooled cohort equations and QRisk2 scoring systems. The arterial stiffness gradient was calculated as a ratio between carotid-femoral (cf) and carotid-radial (cr) pulse wave velocity, and its elevation of ≥ 1 was considered as arterial stiffness mismatch. A p-value of 0.05 was considered significant. Results and Discussion. The mean stiffness gradient in RA patients without and with hypertension was 1.1 ± 0.1 and 1.4 ± 0.4, respectively (р 0.001); in controls, 0.99 ± 0.2 and 1.3 ± 0.3, respectively (р 0.001). The frequency of stiffness mismatch in the RA group was significantly higher compared to the controls in the whole study population (88.2 % vs 65 % (р = 0.002)) and in both normotensive and hypertensive subgroups (76.7 % vs 43.8 % (p = 0.03), and 94.5 % vs 79.2 % (p = 0.04), respectively). The same trend was observed in the subgroups with normal carotid-femoral pulse wave velocity: arterial stiffness mismatch was present in 82.1 % of RA patients vs. 51.9 % control subjects (p = 0.004). The stiffness gradient was associated with age (r = 0.63), hypertension duration (r = 0.56), cardio-vascular risk by the ACC/AHA 2013 (r = 0.69) and Qrisk2 (r = 0.7) scoring systems, nocturnal aortic systolic BP (r = 0.53), cardio-ankle vascular index (r = 0.60) and diurnal index of brachial systolic BP (r = -0.4). Significant differences in stiffness gradient values were observed in the subgroups based on elevation of aortic systolic BP and pulse wave velocity above individual reference values, aortic pulse pressure 50 mmHg, cardio-ankle vascular index 9, presence of high cardio-vascular risk, masked and nocturnal hypertension, and non-dipping. Conclusion. Patients with RA are characterized by higher frequency of arterial stiffness mismatch compared to controls, irrespective of the history of hypertension or the values of carotid-femoral pulse wave velocity. Arterial stiffness mismatch is associated with unfavorable 24-h BP profile, higher frequency of nocturnal hypertension and cardio-vascular risk.
Investing in the Future: A Systematic Literature Review on Renewable Energy and its Impact on Financial Returns

This study aimed to examine the impact of renewable energy on financial returns for organizations. Using the systematic literature review methodology proposed by Kitchenham, 35 papers were shortlisted from the Web of Science database. Descriptive analysis was conducted using Excel and SPSS to examine the total citation by each article, research area, publisher, and publication year. The findings indicated a positive relationship between renewable energy and financial returns, with all papers reviewed supporting this conclusion. Organizations are recommended to invest in renewable energy as it aligns with sustainability goals and contributes to improved financial returns. However, limitations to the available literature highlight the need for further research to understand the full scope of the relationship between renewable energy and financial returns. This study provides important insights into the benefits of renewable energy and its positive impact on financial returns for organizations. Overall, the study contributes to the existing literature on the benefits of renewable energy for organizations looking to reduce costs, increase energy security, and enhance their reputation.
Characteristics of Music Therapy With Beneficial Impacts on Agitation in Dementia

Several reviews in recent years have reported evidence of the effect of music on the serious problem of agitation in dementia. Some reviews draw different conclusions, however, which actualizes the need for studies that examine characteristics of music therapy with beneficial impacts on agitation. In an instrumental case study, documented through qualitative interviews, recordings of group meetings, and patient record excerpts, we examine how music was used intensively in interaction with a man in his 70s at a unit for persons with dementia. Music therapy was often able to ease his agitation and was especially valuable in a period when he needed to be isolated due to a suspected coronavirus infection. However, the interventions did not work every time, and his responses differed considerably. The case illustrates that music therapy can address agitation in dementia for some clients, but the claim must be qualified. Potential characteristics of music therapy with such an ability might be i) situated use of the most favored music, ii) careful adjustment to signs of pain and discomfort, iii) sustained effort to build trustful relationships, iv) transferable interaction patterns of health musicking, and v) sufficient access to attention and support for the client(s) during the musical interventions.
Adaptive overlapped sub-blocks contrast enhancement

In this paper, an overlapped sub-block gray-level average method for contrast enhancement is presented. The digital image correction of uneven illumination under microscope transmittance is a problem in image processing, also sometimes the image in the dark place need to correct the uneven problem. A new correction method was proposed based on the mask method and sub-blocks gray-level average method because Traditional mask method and background fitting method are restricted due to application scenarios, and the corrected image brightness is low by using background fitting method, so it has some limitations of the application. In this paper, we introduce a new method called AOSCE for image contrast enhancement. The image is divided into many sub-blocks which are overlapped, calculate the average gray-level of the whole image as M and the calculate the average gray-level of each one as mi, next for each block it can get d = mi - m, each block minus d to get a new image, and then get the minimum gray-level of each block into a matrix DD to get the background, and use bilinearity to get the same scale of the image. over fitting the image in matlab in order to get smoother image, then minus the background to get the contrast enhancement image.
Mapping the Path to Sustainable Education: Critical Dimensions of Locally–Established Higher Education Institutions

This study examines critical dimensions of higher education and their performance in locally-established higher education institutions (HEIs). The research findings indicate that administration, mission, and planning are the highest-performing dimensions, followed by operations and student opportunities. However, curriculum, faculty and staff development and rewards, research and scholarship, and outreach and service demonstrate regular performance. The qualitative analysis reveals several important conclusions. Firstly, the Vision, Mission, Goals, and Objectives (VMGO) of the HEIs align with sustainability commitments. Secondly, these institutions prioritize employee involvement in decision-making, provide appropriate status and benefits, and shape academic disciplines based on core values, showing engagement with social and ecological systems. Thirdly, only a small percentage of faculty members focus on teaching or researching sustainability issues. Additionally, participants acknowledge a significant gap between their institutions and ideal campus models practiced by established universities in the country. These universities actively support the government's clean and green program through projects and research. The adoption of the Strategic Performance Monitoring System (SPMS) and budget appropriations for faculty development programs are noted. Locally-established HEIs contribute to sustainable community development through partnerships with schools, local governments, and businesses. Participants engage in sustainability-related training and conferences. The institutions have dedicated offices for linkages and placement and conduct outreach programs in specific communities. Students actively participate through student councils, Go Green Project Teams, and college clubs. This research sheds light on the performance and commitment of locally established HEIs toward sustainability and highlights areas for improvement to align with the practices of established universities.
Stem cell-like T cell depletion in the recurrent head and neck cancer immune microenvironment

ABSTRACT Human papilloma virus (HPV)-related oncogenesis in head and neck cancer establishes a local microenvironment rich with immune cells, however the composition of the microenvironment in recurrent disease following definitive treatment is poorly understood. Here, we investigate the composition and spatial relationships between tumor and immune cells in recurrent head and neck cancer following curative intent chemoradiotherapy. Multiplexed immunofluorescence with 12 unique markers, through two multiplex immunofluorescent panels, was performed to evaluate 27 tumor samples including 18 pre-treatment primary and 9 paired recurrent tumors. Tumor and immune cell populations were phenotyped and quantified using a previously validated semi-automated digital pathology platform for cell segmentation. Spatial analysis was conducted by evaluating immune cells within the tumor, peri-tumoral stroma, and distant stroma. Initial tumors in patients with subsequent recurrence were found to be enriched in tumor associated macrophages and displayed an immune excluded spatial distribution. Recurrent tumors after chemoradiation were hypo-inflamed, with a statistically significant reduction in the recently identified stem-like TCF1+ CD8 T-cells, which normally function to maintain HPV-specific immune responses in the setting of chronic antigen exposure. Our findings indicate that the tumor microenvironment of recurrent HPV-related head and neck cancers displays a reduction in stem-like T cells, consistent with an immune microenvironment with a reduced ability to mount T-cell-driven anti-tumor immune responses.
Travelling Salesman Problem Solution with Adaptive Resonance Neural Networks

Travelling Salesman Problem is a very hard Optimization Problem in a field of Operations research. It often used as for new optimization Techniques. This paper surveys the neutrally inspired Travelling Salesman Problem using Ant Colony Optimization Algorithm. It presents Adaptive Resonance theory in combination with Ant Colony Optimization Algorithm to solve the large instance of Travelling Salesman Problem. Travelling salesman problem (TSP) consists of finding the shortest route in complete weighted graph G with n nodes and n(n-1) edges, so that the start node and the end node are identical and all other nodes in this tour are visited exactly once.
Potential thermoelectric material open framework Si24 from a first-principles study

Open framework Si24 is a new synthesis cage-like silicon allotrope with a quasi-direct bandgap and predicted to exhibit outstanding adsorption efficiency, foreshowing the potential applications in the photovoltaic community. In this paper, the thermoelectric property of such new Si structures is investigated by combining first-principles calculation and semiclassical Boltzmann transport theory. The calculations show that the Si24 possesses a superb Seebeck coefficient, and obviously anisotropic electronic conductivity. Owing to more energy extremums existing in the conduction band region, the power factor of Si24 in the n-type doping is always better than that in p-type samples. Anisotropic phonon transport property is observed as well in Si24 with average lattice thermal conductivity of 45.35 W m−1 K−1 at room temperature. Based on the electron relaxation time estimated from the experiment, the thermoelectric figure of merit of Si24 is found to be as high as 0.69 (n-type doping at 700 K) and 0.51 (p-type doping at 700 K) along the xx crystal direction, which is about two orders of magnitude larger than that of diamond Si (d-Si). The findings presented in this work shed light on the thermoelectric performance of Si24 and qualify that such new Si allotrope is a promising platform for achieving the recombination of photovoltaic and thermoelectric technologies together.
Association between fingerprint patterns and myopia

Epidermal patterns are polygenically determined system of ridges on volar surface of fingers, palms and soles. Due to their mode of inheritance, and developmental time that coincide with the most critical period of embryogenesis, they are considered as a biological marker that may provide an insight in early fetal life. This study involved 102 participants, students from the University of Priština-Kosovska Mitrovica, 51 consisting myopic and 51 control group. Analysis of fingerprint patterns has showed significantly altered dermatoglyphic configuration of arch patterns in myopic group, which might be suggestive of developmental perturbances in embryogenesis of genetically vulnerable individuals prone to development of myopia.
Socio-Demographic Factors Associated with Rural Residents’ Dietary Diversity and Dietary Pattern: A Cross-Sectional Study in Pingnan, China

There is limited evidence regarding the factors correlated with dietary diversity (DD) and dietary pattern (DP) in rural residents of China. This study aims to identify the DD and DP of rural residents and their association with socio-demographic factors. A cross-sectional survey was conducted in Pingnan, China. The Food Frequency Questionnaire (FFQ) was applied to evaluate dietary intake. Latent class analysis (LCA) was used to identify patterns of six food varieties, including vegetables–fruits, red meat, aquatic products, eggs, milk, and beans–nuts. Generalized linear models and multiple logistic regression models were used to determine factors associated with the DD and DP. Three DPs were detected by LCA, namely “healthy” DP (47.94%), “traditional” DP (33.94%), and “meat/animal protein” DP (18.11%). Females exhibited lower DD (β = −0.23, p = 0.003) and were more likely to adhere to “traditional” DP (OR = 1.46, p = 0.039) and “meat/animal protein” DP (OR = 2.02, p < 0.001). Higher educational levels and annual household income (AHI) were positively associated with higher DD (p < 0.05) and less likely to have “traditional” DP and “meat/animal protein” DP (p < 0.05). Non-obese people exhibited higher DD (β = 0.15, p = 0.020) and were less likely to have “meat/animal protein” DP (OR = 0.59, p = 0.001). Our study reveals that females, those with lower educational levels and AHI, and obese people are more likely to have a lower DD and are more likely to adhere to “traditional” DP and “meat/animal protein” DP. The local, regional, and even national performance of specific diet-related health promotion measures and interventions must target these vulnerable populations to improve a healthier DD and DP.
Optimal decay estimate of mild solutions to the compressible Navier‐Stokes‐Korteweg system in the critical Besov space

In this paper, we consider the initial value problem for the compressible Navier‐Stokes‐Korteweg system in several space variables. Optimal decay estimate of mild solutions in the critical Besov spaces is established. The proof is based on the decay estimate of solutions operator in the low‐frequency region and the energy estimate in the high‐frequency region.
Quantum gases in optical lattices

IMAGINE having an artificial substance in which you can control almost all aspects of the underlying periodic structure and the interactions between the atoms that make up this dream material. Such a substance would allow us to explore a whole range of fundamental phenomena that are extremely difficult – or impossible – to study in real materials. It may sound too good to be true, but over the last two years physicists have come extremely close to achieving this goal.
The Status of Root-Knot Nematodes of the Meloidogyne Genus in Croatia, with a Special Reference to the Quarantine Species

Root-knot nematodes of the genus Meloidogyne belong to the most economically important group of plant-parasitic nematodes and also to the most important plant pests that can cause significant economic losses in crop production. They are poly phagous, highly adapted, obligate endoparasites of nearly all higher plant species, including the important agricultural crops. Within the genus Meloidogyne, about one hundred species have been described, of which the four species-that is, the Meloidogyne incognita, M. arenaria, M. javanica, and M. hapla-are the important plant pests and the most widespread species worldwide. As of 2010, twenty-three species have been confirmed in Europe, of which three non-quarantine species have been detected in Croatia. Many nematode species of the genus Meloidogyne can be considered dangerous invasive pests in agriculture, as they can spread rapidly due to the global trade, changing production technologies leading to a reduced use of pesticides, and climatic changes. To prevent or to limit the introduction and spread of the three species of root-knot nematodes, Meloidogyne chitwoodi, M. fallax, and M. enterolobii, respectively, were entered in the European list of quarantine nematodes. The species M. mali is incorporated in the EPPO A2 quarantine list, in addition to the three aforementioned species, while the M. ethiopica, M. luci, and M. graminicola are on the EPPO Alert List. It is expected that the tropical Meloidogyne species, for instance the M. enterolobii, M. ethiopica, and M. luci, as well as the M. incognita, M. arenaria, and M. javanica, will become the important pests in the temperate zones due to the new,) climatic conditions, more favorable for their development, which can pose a huge risk to the agricultural production. In Croatia, a wide distribution of nematode populations of the genus Meloidogyne spp. was con firmed, but a scientific knowledge about the species identification is very modest. Due to the variety of soil and climatic conditions present in Croatia, it is expected that more Meloidogyne species than those that are known so far will be detected in the future. This is one of the reasons for starting a more intensive monitoring of the Meloidogyne species in Croatia too.
Robust Observer-based Control Design for Singular Systems with Delays in States

In this paper, the robust observer-based control problem for uncertain singular time delay systems is investigated. The approach is based on using Finsler's lemma. First, delay-dependent linear matrix inequality (LMI) conditions are obtained which, guarantee that the nominal unforced system is regular, impulse free, and stable. Then, with the help of obtained admissibility criterion, an observer-based controller is given by solving a set of LMIs. Finally, some simulations are provided to demonstrate the effectiveness of the obtained results.
Natural Deduction for Three-Valued Regular Logics

IIn this paper, I consider a family of three-valued regular logics: the well-known strong and weak S.C. Kleene’s logics and two intermediate logics, where one was discovered by M. Fitting and the other one by E. Komendantskaya. All these systems were originally presented in the semantical way and based on the theory of recursion. However, the proof theory of them still is not fully developed. Thus, natural deduction systems are built only for strong Kleene’s logic both with one (A. Urquhart, G. Priest, A. Tamminga) and two designated values (G. Priest, B. Kooi, A. Tamminga). The purpose of this paper is to provide natural deduction systems for weak and intermediate regular logics both with one and two designated values.