Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantum-chemical modeling of the processes of cadmium sulfide and cadmium selenide films synthesis in aqueous solutions

The quantum-chemical modeling of the synthesis process chemistry of CdS and CdSe in aqueos solutions was carried out. For that reason, the CdS synthesis simulation was carried out through the formation of Cd(II) complex forms with the trisodium citrate and ammonium hydroxide. At the CdSe synthesis, the sodium selenosulfate with and without trisodium citrate was used. It was established that this process passes through several intermediate stages with the transitional reactive complexes formation. On the basis of obtained data, the energy stages diagrams are constructed and the comparison of CdS and CdSe synthesis processes with various complexing agents has been carried out. The CdS and CdSe films were obtained by chemical synthesis method from an aqueous solution of cadmium salt, complexing and chalcogenizing agents. X-ray phase analysis confirmed the formation of desired compounds, which was predicted by modeling.
Impacts of the Free Trade Agreement on Pakistan Export to China and Economic Growth

The Free Trade Agreements between Pakistan and China increased the trade prospects between Pakistan China, resulting in an increased trade deficit in Pakistan with China. The study is based onhow the FTAs impact exports in Pakistan. This paper's results suggest a positive contribution of FTAs to Pakistan's exports in China's economy and the imports from China. However, the increase in imports is much higher than the increase in exports after Pakistan entered into subsequent FTAs with China. As a result, there is an increase in the Pakistan trade deficit, and the growth prospects of Pakistan suffered. The constant marketsuggests that,by focusing on products that enhance Pakistan'scomparativeadvantage,improving infrastructure, efficient tariff line utilization, and deep understanding of China's market, all are necessary for Pakistan to benefit from FTAs; otherwise, their provision becomes counterproductive. It is concluded that Pakistan needs to reduce the trade deficit with China as it negatively impacts its macroeconomic situation. Exports enhanced by investing in innovative technologies andreduced importsthrough production inland.
Pre-Electoral Coalitions: Insights into the Boundaries of Political Parties

We evaluate the causes and consequences of pre-electoral coalitions (PECs). In Finland, local elections use open-list PR, and parties may form joint lists. We document that PECs are more common between parties of equal size and similar ideology, and when elections are more disproportional or involve more parties. Using both difference-in-differences and density discontinuity designs we show that voters punish coalescing parties, especially if they are ideologically diverse, and also respond to PECs by targeting personal votes strategically. Moreover, small parties become more likely to acquire political leadership positions. Finally, PECs seem to be formed also with the particular purpose of influencing the overall distribution of political power: they lead to more dispersed seat distributions and prevent absolute majorities in close elections. Our findings shed light on the boundaries of political parties: voter ideology and electoral rules create natural boundaries for the parties, yet party formateurs also consider wider impacts.
How COVID-19 Information Spread in U.S.? The Role of Twitter as Early Indicator of Epidemics

This article presents a detailed analysis of Twitter data to inspect how information about the COVID-19 epidemics spread in US. To this purpose, the objectives are to identify the key terms and features used in the tweets, the interest in the COVID-19 topics, together with the evolution of the discussion all over US. To identify topics, the paper proposes an approach that combines peak detection and clustering techniques. Space-time features are extracted from the tweets and modeled as time series. After that, peaks are detected from the time series, and peaks of textual features are clustered based on the co-occurrence in the tweets. Each cluster obtained is then associated to a topic. Results, performed over a real-world dataset of tweets related to COVID-19 in US, show that the proposed approach is able to accurately detect several relevant topics of interest, of varying importance and character, including health status, symptoms, and pandemics implications on people living. A case study about the correlation of Twitter data with COVID-19 confirmed cases has been presented, also evaluating the feasibility of exploiting Twitter for the outbreak diffusion prediction. Results highlight a high correlation between tweets and real COVID-19 data, proving that Twitter can be considered a reliable indicator of the epidemic spreading and that data generated by user activity on social media is becoming an invaluable source for capturing and understanding epidemics outbreaks.
Response of two halophyte plants (Nitraria schoberi and Halocnemum strobilaceum) to potassium sulfate under saline condition

Due to the desertification development and consequently the increase of saline lands in Iran, the use of resistant plants in such conditions to reduce its effects seems necessary. Hence, this study has tried to investigate the effect of potassium sulfate treatment on dry matter and Na and K content and physiological properties of foliar tissue of two halophyte species (Nitraria schoberi and Halocnemum strobilaceum) under different saline conditions. According to the results all studied parameters were significantly affected by plant species, potassium sulfate and NaCl treatments. Plant species and NaCl interaction and triple interaction showed significant effect on dry weight, sodium and potassium content of shoot and leaf chlorophyll content, also plant species and K2SO4 interaction has significantly effect on plant height and sodium, potassium and flavonoid content of shoots. High levels of K2SO4 treatment (135 Kg ha-1) significantly affected potassium content of N. schoberi in 100 and 200 mM NaCl treatments and increased its content more than 27 and 28% respectively compared with control. Also, application of K2SO4 affected accumulation of flavonoids in both plant but the response of N. schoberi still significant. According to the mean comparison, N. schoberi showed more than 12% scavenging activity than the H. strobilaceum. It seems that H. strobilaceum has strategies beyond the antioxidant capacity to adapt to the stressful environment condition, which are seemed much more efficient than increasing antioxidant capacity.
The use of blockchain in the luxury industry: supply chains and the traceability of goods

PurposeMost businesses strive to control the efficiency of their supply chains; however, luxury firms face additional challenges from counterfeit, gray market and copycat products. Blockchain technology can address these issues and enhance firms' supply chain management, guaranteeing the traceability and origin of luxury products. Therefore, this study aims to investigate the utility and contexts influencing the implementation of blockchain technology to optimize supply chain management and prevent fraud in the luxury industry.Design/methodology/approachThe research uses a qualitative approach based on the grounded theory method. Data are collected by semi-structured interviews with 12 stakeholders working on blockchain applications in the luxury business sector.FindingsHighlighting the problems faced by luxury brands' supply chains, this study presents blockchain technology as a solution for disintermediation, traceability and transparency in the luxury goods sector. The constraints faced by luxury brands incorporating this technology into their ecosystem include the knowledge gap, the multiplicity of third parties involved in the production process and bias toward short-term returns on investment.Originality/valueBlockchains promote greater transparency and efficiency within supply chains, which builds consumer trust and improves brand revenue. Considering luxury brands' reluctance to adopt blockchains, this study suggests that luxury firms adopt a staggered implementation of private blockchain networks starting with a small number of third-party suppliers.
Optimal Network Reconfiguration in Presence of Renewable Distributed Generation Using Evolutionary Algorithm

Utilization of new technologies and people lifestyle has greatly affected the world’s electricity market. This demands to design innovative renewable energy systems for efficient use of green energy. In terms of greenhouse gas emissions, electricity from traditional energy supplies has become particularly harmful for the world. To decrease the reliance on fossil fuels, it is need of time to enhance the renewable energy integration in the conventional energy systems. Renewable DGs integration in existing energy systems is not a simple task. To overcome challenges caused by enhanced penetration of renewable energy systems in existing networks, adaptation of smart techniques is essential. DGs Optimal size and selection of their suitable location for integration is crucial for cost effective power delivery to the consumers without compromising the quality of power. This paper presents impartial performance management by optimal network reconfiguration in parallel with renewable DGs and selecting suitable size for reducing active power losses, pollutant gas emissions and costs of annual operation. For analysis of active power losses, Fuzzy and SPEA2 based algorithms are used in MATLAB with IEEE BUS14 acting as load bus. While the cost of power generation and pollutant gases emissions are estimated using HOMER Pro software.
Soluble Mediators Potentially Involved in Pruritus Associated to Cutaneous T-Cell Lymphomas and Mastocytosis: A Cross-Sectional Study

Pruritus is a major distressing symptom, common in inflammatory diseases, like Cutaneous T-Cell Lymphoma (CTCL) and mastocytosis. We aimed to study the involvement of some molecules, namely, cytokines, neuromediators, endothelial adhesion molecules and angiogenic factors, in the severity of pruritus associated to CTCL and mastocytosis. CTCL - Mycosis Fungoides (MF, n=17) and Sézary syndrome (SS, n=10) and mastocytosis patients (n=17) were evaluated. Interleukin (IL)-8, IL-31, Vascular Endothelial Growth Factor (VEGF), E-selectin, serotonin and C-reactive protein (CRP) levels, were assessed; tryptase was measured in mastocytosis. Pruritus severity was assessed, using a Visual Analogue Scale (VAS). Compared to controls (n=29), CTCL patients presented higher CRP and IL-31. SS patients had higher IL-31, E-selectin and CRP than MF patients and controls. Itch correlated with IL- 31 and E-selectin, when considering all CTCL patients; in SS, itch correlated with E-selectin. Advanced CTCL stages revealed higher IL-31, E-selectin and CRP than early stages, and controls; itch intensity correlated with IL-31 and E-selectin, in advanced stages. Mastocytosis showed higher serotonin and VEGF, compared to controls, and itch intensity correlated with tryptase. Data suggest that in mastocytosis, serotonin is an important biomarker and that tryptase levels reflect itch intensity; IL-31 and E-selectin appear to be more important mediators in CTCL and strongly correlated with itch severity. The different involvement of studied mediators, probably due to different immune responses, suggests that different mechanisms underlie these diseases and may lead to different itch mechanisms.
Formation and development of professional creativity of future officers in higher military educational institutions

The article is devoted to the study of the problem of formation and development of professional creativity of future officers in higher military The authors define the essence of the concept of "professional creativity of an officer" and identify factors influencing manifestations of creativity in the professional and educational environment of higher military educational institutions. The criteria (cognitive, operational, intellectual, emotional-reflexive), indicators and levels of formation of professional creativity of future officers have been determined, considering its structure. Based on the results of the study, the effectiveness of the proposed pedagogical conditions for the formation of professional creativity is proved, which were implemented in stages within the framework of the author's technology during the professional training of future officers in higher military educational institutions.
IMPLEMENTASI METODE COLLABORATIVE FILTERING UNTUK SISTEM REKOMENDASI PENJUALAN PADA TOKO MEBEL

Sistem rekomendasi adalah merupakan sistem yang dapat memberikan rekomendasi pada suatu item tertentu yang dapat digunakan untuk membantu pengguna sistem dalam mengambil suatu keputusan. Penelitian ini bertujuan untuk mengimplementasikan sistem rekomendasi menggunakan metode collaborative filtering pada e-commerce untuk sistem penjualan pada Toko Mebel. Dengan e-commerce pelanggan dapat melakukan transaksi pembelian secara online tanpa harus datang ke toko sehingga dapat menghemat waktu dan biaya. Dengan sistem rekomendasi yang diberikan pelanggan akan mendapatkan rekomendasi dari produk yang akan dibeli sebagai bahan pertimbangan dalam menentukan pilihan produk. Metode collaborative filtering melakukan proses penyaringan atau pengevaluasian item yang berdasarkan dari opini orang lain, dengan cara memberikan informasi kepada konsumen yang berdasarkan kemiripan karakteristik. Hasil penilitian ini bahwa sistem dapat memberikan rekomendasi sejumlah 3 (tiga) alternatif produk dan rekomendasi penjualan best seller berdasarkan data penjulan terbanyak pada bulan dan tahun sebanyak tiga produk. Dari proses yang dilakukan dihasilkan nilai rekomendasi dari setiap produk untuk pelanggan. Produk yang memiliki nilai similaritas 1 dan nilai similaritas 0,6. Produk dengan nilai similaritas tertinggi lebih di utamakan untuk direkomendasikan kepada pelanggan.
Resident Support for Tourism Development: Application of a Simplified Resident Empowerment through Tourism Scale on Developing Destinations in Flanders

While the potential macro-economic benefits of tourism development have been well-established, the negative social effects of uninhibited growth have received increased attention in the last decade, emphasizing the central role of communities in the search for a sustainable balance in tourism. This paper focuses on the relatively underdeveloped Scheldeland region in Flanders (Belgium), where a strategic goal is to leverage cultural and natural heritage to boost development. Via a resident questionnaire based on a simplified version of the Resident Empowerment through Tourism Scale (RETS), we identified support for tourism development and deconstructed the drivers of this support. The objective was to empirically validate the research instrument and underlying theory in a situation of relative ‘undertourism’ and prospective future growth. The questionnaire collected 2058 responses, and the partial least squares-structural equation modeling (PLS-SEM) results indicated that support for tourism, which was generally high across the seven municipalities, was mainly affected by social, psychological, and political empowerment, with personal economic benefits not playing a significant role. These results show that social exchange theory (SET) as a theoretical basis for potential tourism support has limited validity in currently underdeveloped destinations. Secondly, comparatively speaking, the municipalities with the lowest tourism development were least supportive of tourism growth, with an increase in tourism intensity seemingly leading to increasing support due to a higher awareness of accrued benefits through tourism.
Industry 4.0 technological trajectories and traditional manufacturing regions: the role of knowledge workers

ABSTRACT The technological trajectory of a region depends on the local repository of competences and knowledge, and their evolution over time. Using the case of a region with Marshallian features, we explore the Industry 4.0 potential for regional transformation showing how the employment ratios of synthetic and analytical knowledge workers of local firms evolve in relation to the adoption of a set of digital technologies. Results show that technological change in this type of region exhibits strong path dependence and goes hand in hand mainly with an increase in the employment ratio of synthetic knowledge workers.
Robust prescribed‐time consensus of multi‐agent systems with actuator saturation and actuator faults

Prescribed‐time leader‐following consensus problem of multi‐agent systems with actuator saturation is considered in this paper. With the proposed protocol, the convergence time can be assigned off‐line, and actuator saturation problem is solved. A prescribed‐time disturbance and actuator faults observer is designed to estimate the disturbance and actuator faults. At last, numerical simulations show the efficiency of the observer and controller.
Catalytic fullerenol action on Chlorella growth in the conditions of limited resource base and in the conditions of oxidation stress

Catalytic fullerenol C 60 (OH) 24 action on Chlorella Vulgaris growth in the conditions of limited resource growth base and in the conditions of oxidative stress are reported. Chlorella growth or oppression were investigated in open transparent in the visible area cylindrical polystyrene test tubes at room temperature under illumination by standard incandescent lamp for the period 9 days. Catalyst concentration were varied in the range 0.01 – 1.0 g/dm 3 . Oxidative stress was organized by the addition of hydrogen peroxide with the concentration 1.0 g/dm 3 . Chlorella Vulgaris concentrations were determined by the method of turbidimetry – by the determination of optical density of scattered light in the direction of propagation of the incident beam at wavelength 664 nm. Obtained kinetic data were processed by the method of formal classical kinetics. The pseudo-order of the process Chlorella Vulgaris growth in the conditions of limited resource, according to Chlorella, is − 2 ; the curve of the dependence of Chlorella concentration against time is concave at all fullerenol concentrations. The pseudo-order of the process Chlorella Vulgaris suppression in the conditions of oxidative stress, according to Chlorella, is +2 , the curve of the dependence of Chlorella concentration against time is convex at all fullerenol concentrations. The kinetics of Chlorella Vulgaris growth in the conditions of limited resource was also processed by model Verhulst equation of logisitic growth, and this equation describes the kinetics as accurately and adequately as possible. The authors have established, that in the case of the conditions of limited resource, fullerenol at low concentrations (less than 0.1 g/dm 3 ) catalyzes-accelerates Chlorella growth and at higher concentrations (0.1 – 1.0 g/dm 3 ) inhibits Chlorella growth. For the conditions of oxidative stress, authors have established, that at all fullerenol concentrations, it considerably inhibits suppression-depopulation of Chlorella processes, so fullerenol proves enough strong anti-oxidant action. It was demonstrated, that Verhulst equation maybe satisfactory used for the description of different natural process. be used more wide ranges of applications: building, medicine, pharmacology (as the result of compatibility with water, physiological solutions, blood, lymph, liquor, gastric juice), agriculture, crop production, cosmetics. Poly-hydroxylated fullerenes (fullerenols) and adducts of light fullerenes C 60 and C 70 with carboxylic acids and amino-acids are the perspective bioactive fairly water-soluble fullerene derivatives.
Altitudinal variation of leaf carbon isotope for Dendrosenecio keniensis and Lobelia gregoriana in Mount Kenya alpine zone

Abiotic factors vary along altitudinal gradients, and this may influence plant morphology, physiology and function. This study aimed to test the hypothesis that leaf δ13C—a common proxy for water use efficiency—was indirectly influenced by morphological adjustments with changing climatic factors along an altitudinal gradient on Mount Kenya. We sampled leaves of Dendrosenecio keniensis and Lobelia gregoriana using seventy‐two 10 × 10 m plots situated every 100 m starting from 3600 to 4300 m. We determined leaf δ13C using stable isotope mass spectrometry. We also quantified the following morphological factors; leaf area, leaf mass per area, specific leaf area and leaf thickness. Climate data included mean annual temperature and precipitation, diurnal temperature range and water vapor pressure. Our results revealed that there was a leaf δ13C enrichment of 1.76 ‰ km−1 and 1.62 ‰ km−1 with altitude for D. keniensis and L. gregoriana, respectively. Leaf δ13C was enrichment by 0.01 ‰ mm−1 with mean annual precipitation along the altitude gradient for D. keniensis and 0.02 ‰ mm−1 for L. gregoriana. D. keniensis and L. gregoriana have high‐water use efficiency, an adaptation for surviving near freezing alpine temperatures and high‐diurnal range. Leaf δ13C exhibited a depletion of −0.37 ‰ per °C increase of mean annual temperature along the altitude gradient for D. keniensis and −0.34 ‰ per °C increase for L. gregoriana. Our results also showed a negative relationship between pCO2 and leaf δ13C and positive relationship between pCO2 and ∆13C for both species. Low temperatures led to the increase in leaf thickness and specific leaf area for these two species, factors that influenced leaf δ13C and ∆13C.
Competition in depleting resource environments shapes the thermal response of population fitness in a disease vector

Mathematical models that incorporate the temperature dependence of lab-measured life history traits are increasingly used to predict how climatic warming will affect ectotherms, including disease vectors and other arthropods. These temperature-trait relationships are typically measured under laboratory conditions that ignore how conspecific competition in depleting resource environments—a commonly occurring scenario in nature—regulates natural populations. Here, we used laboratory experiments on the mosquito Aedes aegypti, combined with a stage-structured population model, to show that intensified larval competition in ecologically-realistic depleting resource environments can significantly diminish the vector’s maximal population-level fitness across the entire temperature range, cause a 6°C decrease in the optimal temperature for fitness, and contract its thermal niche width by 10°C. Our results provide evidence for future studies to consider competition dynamics under depleting resources when predicting how eukaryotic ectotherms will respond to climatic warming.
Hydro-Saline Dynamics of a Shallow Mediterranean Coastal Lagoon: Complementary Information from Short and Long Term Monitoring

The Vaccarès Lagoon System, located in the central part of the Rhône Delta (France), is a complex shallow coastal lagoon, exposed to a typical Mediterranean climate and a specific hydrological regime affected by man-controlled exchanges with the sea and agricultural drainage channels. In this article, we report the results obtained by a series of monitoring programs, with different spatial and temporal resolutions. Long-term datasets from 1999 to 2019 with data collected on a monthly basis and a high spatial resolution highlighted the significant spatial heterogeneity in salinity regimes, and helped to determine the long-term evolution of the total mass of dissolved salt. High-frequency surveys allowed to characterize the water levels and salinity dynamics seasonal response to (i) the exchanges with the Mediterranean Sea, (ii) the exchanges with agricultural drainage channels, and (iii) the rain and evaporation. In addition, wind effects on salinity variations are also explored. This work shows how different spatial and temporal monitoring strategies provide complementary information on the dynamic of such a complex system. Results will be useful and provide insight for the management of similar lagoon systems, accommodating for both human activities and ecological stakes in the context of global change.