Miracle-dz/UniFAR-FTUs huggingface dataset:
THE FACTORS OF BUSINESS EFFICACY OF THE FOOD MARKET AND THEIR CORRELATION TO THE MARKETING IN FARMERS

The relevant research subjecs of this study are the contemporary models of economic studies, the factors of business efficacy of the food market, and the marketing of farmers. The aim of this transversal study was to define the latent structures of business efficacy and their linear correlation with the marketing of agricultural food farmers. The pertinent sample included (N =156) male farmers from Kolubara district, Serbia. The average age of participants was 44.26 ± =10.35). The questionnaire regarding farmer’s entrepreneurial success in food production was used in this research. The values of the Cronbach’s alpha (α) coefficient of internal consistency were higher than 0.70, which means that the variables used in this research possess satisfactory psychometric criteria. Four components were extracted by analyzing the exploratory factorial analysis, with Kaiser– Guttman criterion, and the oblimin rotation of the variables. The extracted four-factor groups of latent dimensions, on the level of statistical conclusion of 0,01, were interpreted as: quality – FI, economic privilege – FII, social privilege – FIII, and competition – FIV, which together account for 68.26% of the variance. The obtained findings on the coefficient of internal consistency (Cronbach’s) confirmed the reliability and validity of the applied measuring instrument, and thus future longitudinal studies can use it for examining the farmer population in Serbia.
Detecting fake news spreaders on twitter

Nowadays, fake news is prevalent and too simple to propagate through social media, particularly during elections and pandemics like COVID-19. Several fake news stories have appeared on social media sites like LINE, Facebook, and Twitter after the COVID-19 epidemic throughout the world. Also, a lot of older individuals simply forward these communications without checking their veracity, which speeds up the dissemination of fake information. So, our goal is to identify fake news using machine learning. In this paper, we describe a supervised method that automatically gathers a sizable but noisy training dataset made up of a significant number of tweets. We will categorize tweets during collection into trustworthy and untrustworthy sources, then using the dataset to train a classifier. The categorization of fake and real tweets is the next classification objective for which we apply that classifier. We first demonstrate that real news is larger in size, shared on Twitter for a longer length of time, and shared by people with more followers than following. Second, we employed machine learning models like support vector machine (SVM), random forest (RF), and decision tree (DT), and we found out that the SVM is the best of all the models due to its best results and 99% accuracy.
Does Serum Vitamin D Influence the Prognosis of Critically Ill Patients with Trauma? A Prospective, Observational Study in a Trauma Center

Background Vitamin D concentrations are associated with sepsis, pneumonia, and mortality in critically ill patients. However, the role of vitamin D in critically injured patients with trauma remains unknown. This study investigated the effects of vitamin D concentrations on outcomes in critically injured patients with trauma. Methods A prospective observational study was conducted by randomly selecting 100 patients among those who visited our trauma center. The serum vitamin D concentration was measured upon arrival at the hospital, and the length of stay in a trauma intensive care unit after admission, duration of mechanical ventilation, number of days spent in the hospital, development of complications, and death were investigated. The association between the surveyed variables and vitamin D concentrations was investigated using regression analysis. Results Of the 100 patients, 69 were men and 31 were women with an average age of 51.7 years. The average intensive care unit stay length was 18.4 days, and 6 patients (5.9%) died. Univariate regression analysis showed that the factors affecting patient mortality were age (p = 0.02), volume of blood transfused within 24 hours of arrival (p = 0.009), systolic blood pressure measured upon hospital arrival (p = 0.01), and serum lactate concentration measured upon hospital arrival (p = 0.03). Multivariate regression analysis showed that the factors affecting patient mortality were age (p = 0.01), volume of blood transfusion (p = 0.04), and systolic blood pressure measured upon hospital arrival (p = 0.01). Conclusions There were no statistically significant effects of serum vitamin D concentrations in critically ill patients with trauma on death during hospitalization.
Promotion of structural plasticity in area V2 of visual cortex prevents against object recognition memory deficits in aging and Alzheimer's disease rodents

Memory deficit, which is often associated with aging and many psychiatric, neurological, and neurodegenerative diseases, has been a challenging issue for treatment. Up till now, all potential drug candidates have failed to produce satisfactory effects. Therefore, in the search for a solution, we found that a treatment with the gene corresponding to the RGS14414 protein in visual area V2, a brain area connected with brain circuits of the ventral stream and the medial temporal lobe, which is crucial for object recognition memory (ORM), can induce enhancement of ORM. In this study, we demonstrated that the same treatment with RGS14414 in visual area V2, which is relatively unaffected in neurodegenerative diseases such as Alzheimer's disease, produced long-lasting enhancement of ORM in young animals and prevent ORM deficits in rodent models of aging and Alzheimer's disease. Furthermore, we found that the prevention of memory deficits was mediated through the upregulation of neuronal arborization and spine density, as well as an increase in brain-derived neurotrophic factor (BDNF). A knockdown of BDNF gene in RGS14414-treated aging rats and Alzheimer's disease model mice caused complete loss in the upregulation of neuronal structural plasticity and in the prevention of ORM deficits. These findings suggest that BDNF-mediated neuronal structural plasticity in area V2 is crucial in the prevention of memory deficits in RGS14414-treated rodent models of aging and Alzheimer's disease. Therefore, our findings of RGS14414 gene-mediated activation of neuronal circuits in visual area V2 have therapeutic relevance in the treatment of memory deficits.
Reconstructing subglacial lake activity with an altimetry-based inverse method

Subglacial lake water-volume changes produce ice-elevation anomalies that provide clues about water flow beneath glaciers and ice sheets. Significant challenges remain in the quantitative interpretation of these elevation-change anomalies because the surface expression of subglacial lake activity depends on basal conditions, rate of water-volume change, and ice rheology. To address these challenges, we introduce an inverse method that reconstructs subglacial lake activity from altimetry data while accounting for the effects of viscous ice flow. We use a linearized approximation of a Stokes ice-flow model under the assumption that subglacial lake activity only induces small perturbations relative to a reference ice-flow state. We validate this assumption by accurately reconstructing lake activity from synthetic data that are produced with a fully nonlinear model. We then apply the method to estimate the water-volume changes of several active subglacial lakes in Antarctica by inverting data from NASA's Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) laser altimetry mission. The results show that there can be substantial discrepancies (20% or more) between the inversion and traditional estimation methods due to the effects of viscous ice flow. The inverse method will help refine estimates of subglacial water transport and further constrain the role of subglacial hydrology in ice-sheet evolution.
Does CEO age affect the performance of banks in Indonesia?

The purpose of this study is to determine the impact of Chief Executive Officers (CEOs) age on the bank performance in a developing Southeast Asian capital market (Indonesia). The study uses unbalanced firm-level panel data for 40 banks listed on the Indonesia Stock Exchange (IDX) from 2010 to 2018. Net interest margin and capital adequacy ratio were used to measure bank performance. The data were analyzed using panel data regression analysis, including a fixed effects model. The results show that CEOs age improve bank performance proxied by net interest margin and reduce bank performance proxied by capital adequacy ratio. Age should be considered when appointing CEOs. Older CEOs have a competitive advantage over younger CEOs, who have less experience in business.
On adverbial clauses in Udmurt

This paper presents three types of non-finite adverbial clauses in Udmurt: the ones encoded with the suffixes -(e)mja, -(o)nja, and -(o)ńńa. I propose that these suffixes should be decomposed morphologically and that these non-­finite adverbial clauses are to be analyzed as postpositional phrases. In this way, the paper contributes to the analysis of non-finite adverbial subordination in Udmurt. Moreover, the description of -(o)ńńa-clauses in the Middle Cheptsa dialect, which have not been previously described in the literature, also deepens our knowledge of Udmurt dialectal syntax. Additionally, this study has implications for our understanding of the Udmurt case system, as it makes a novel proposal regarding the adverbial case in Udmurt.
A Femtomolar Detection Range via Plasmonic Biosensors Based on V-Shaped Optical Adhesives Waveguides

A versatile and low-cost plasmonic biosensor was designed, realized, and tested by combining a bioreceptor layer with a probe based on two plastic optical fibers (POFs) built-in with a sensing chip carried out via a multilayer on UV-curable optical adhesives. The proposed sensitive multilayer has been developed to excite the surface plasmon resonance (SPR) phenomenon on a gold surface in contact with the monitored bioreceptor layer. More specifically, a binding interaction between a bioreceptor layer and its analyte has been studied for the first time by exploiting SPR platforms based on UV-curable optical adhesives. First, a resin block with a V-shaped channel on its surface was designed and printed using a 3-D printer to locate the source and receiver on the same side. Then, the channel was covered by a silver layer to obtain the mirror effect. After this, it was filled with an UV-curable optical adhesive, with two POFs fixed at the end of the trench, in order to obtain the core of the sensor’s waveguide. Finally, an optical buffer layer and a gold nanofilm were deposited on the core to excite the SPR phenomenon efficiently. The obtained SPR probe was first tested as a refractometer to obtain the bulk sensitivity, and then, following a functionalization process, binding tests were carried out to detect immunoglobulin (IgG) in the buffer. The experimental results show an ultralow detection limit of 1.17 fM, a detection range from 1 to 250 fM, and a sensitivity at low concentrations of 3.42 nm/fM.
HYDROLOGY OF MONTANE FORESTS IN THE SIERRA DE SAN JAVIER, TUCUMAN, ARGENTINA1

In Tucuman Province of Argentina, the subtropical moist montane forests, known as Yungas, reach their southern- most limit, occurring between 400 and 2,800 m. The study area is located on the eastern slopes of the Sierra de San Javier where the forest is strongly affected by human pressure. Eighty percent of the annual rainfall in Tucuman falls largely during thunder- storms between October and March. Three recording rain gauges and two fog catchers were installed at 730, 950, and 1,350 m, re- spectively, to study the effect of altitude on the intensity, duration, distribution, and influence of horizontal precipitation. A stream-gauging station has been constructed to measure discharge, floods, and bed load in a small experimental basin in the basal forest. To measure the amount of surface runoff and soil erosion in the basal forest and piedmont area three experimental test plots were installed. The results confirm that deforestation has notably increased hydrological and erosion risk in summer, but also has led to a reduction of water volumes in winter. It was confirmed that the Tucuman montane forests are actual subtropical mon- tane cloud forests. The additional moisture obtained from passing low clouds during the long dry winter season is important and has not yet been considered in the hydrological budget.
The trends of policy research onto non-public preschool education –findings from scopus database

Public education is not only an option for early childhood education in countries around the world; this makes non-public preschool policy even more important when the objectives, content, and programs are met and all issues related to early childhood education of non-public forces can contribute to this important level of education. With data from the Scopus system and the quantitative bibliographic method, this study aims to provide a general picture of how research trends in non-public policy on early childhood education have been studied. The results show that the number of non-public preschool policy research studies is not much, although the number has gradually increased in recent years. Publication is mainly in developed countries and in the field of medicine. Therefore, there is a need for more detailed studies on each aspect of non-public policy on early childhood education by region, level of development, industry, and interdisciplinary trends in this policy issue.
An FPGA-Based High-Performance Stateful Packet Processing Method

Compared to a stateless data plane, a stateful data plane offloads part of state information and control logic from a controller to a data plane to reduce communication overhead and improve packet processing efficiency. However, existing methods for implementing stateful data planes face challenges, particularly maintaining state consistency during packet processing and improving throughput performance. This paper presents a high-performance, FPGA (Field Programmable Gate Array)-based stateful packet processing approach, which addresses these challenges utilizing the PHV (Packet Header Vector) dynamic scheduling technique to ensure flow state consistency. Our experiments demonstrate that the proposed method could operate at 200 MHz while adding 3–12 microseconds latency. The method we proposed also provides a considerable degree of programmability.
Developed AC/DC/AC Converter Structure Based on Shunt Active Filter and Advanced Modulation Approach for Asymmetrical Cascade H-Bridge Multilevel Inverters

This article presents a free-harmonic ac/dc/ac converter structure using a novel modulation approach for asymmetrical cascade H-bridge multilevel inverter and, conventional rectifiers combined with a shunt active filter, for grid integration. The novel approach SMT-SHE combines two modulation techniques: the staircase modulation technique (SMT); and the selective harmonics elimination (SHE). SMT-SHE approach achieves a sinusoidal-like output stepping voltage with variable output voltage amplitude and free of wideband or/and specific harmonics to fulfill the sensitive loads’ specifications; by determining the appropriate SHE switching angles. The precalculated switching angles are optimized to minimize the number of H-bridge modules and lower the dc capacitor rating. Furthermore, a restriction on the switching angles is proposed to prevent the appearance of undesired harmonics (zeros, even) and, consequently, overcome the limitation of the SHE algorithm applicability. Finally, a real case study in the textile factory is conducted, using real measurements provided by power quality analyzer measuring devices, to validate the proposed ac/dc/ac converter supplying a sensitive load of 50 kVA, given by an asynchronous motor drive.
Kansei Engineering and Self Determination Theory (SDT) for Sustainable Service Design: An Empirical Study on Coworking Space

This study introduces more updated Kansei Engineeirng (KE) framework and application taken into account more sustainable service design which is co-working space. The update of KE brings along the Self Determination Theory (SDT) in investigating Kansei (emotional needs) and service attributes as it promotes more individual-based approach in terms of customer basic psychological needs. More individual-based psychological needs refer to more emotional satisfaction. An application framework followed by an illustrative case study in coworking space setting and discussion is provided. Practical implication is attached as well.
Selection of a Sustainable Municipal Wastewater Treatment Technology: A Multi-Criteria Decision Analysis Approach Using AHP and TOPSIS with Fuzzy Sets

This paper presents the use of two Multi-Criteria Decision Analysis (MCDA) tools with Fuzzy Set Theories, namely Fuzzy Analytical Hierarchical Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to the Ideal Solution (FTOPSIS), for aiding experts on the selection of the most sustainable wastewater treatment technology (WWT). 8 experts with different roles on the selection of WWT was invited to provide inputs. The selection process integrated sustainability by considering 4 major criteria Economical, Environmental, Social and Technical each then having its own sub-criteria.
Optimizing Sowing Window for Sesame

A trial was conducted to identify optimum sowing time for sesame in North Coastal Zone of Andhra Pradesh under irrigated conditions at Regional Agricultural Research Station, Anakapalle during rabi 2020-21 and 2021-22. The treatments consisted of two varieties of Sesame as main plots and six sowing dates in split plot design replicated thrice. The results of the trial revealed that optimum sowing time for sowing of Sesame under irrigated conditions in North Coastal Zone is second fortnight of December. Among the varieties, brown seeded variety (YLM 66) gave significantly higher seed yield than white seeded Variety (Swetha til) and was found suitable to NC zone. For brown seeded Sesame, YLM 66 sown during first fortnight of December to first fortnight of January gave higher seed yields as compared to other dates of sowing. For white seeded sesame, sowing during second fortnight of December gave higher seed yield. Delay in sowing beyond first fortnight of January for brown seeded sesame and beyond second fortnight of December for white seeded sesame reduced the seed yield significantly.
Solution blow spun poly-L-lactic acid/ceramic fibrous composites for bone implant applications

Every bone implant to work correctly after implantation needs to integrate with the surrounding bone. To enhance such a process, called osseointegration, various techniques of implant surface modiﬁcation emerged. One of the approaches is based on the deposition of nano-and submicron materials on the implant surface. This paper presents a solution blow spinning process for producing poly-L-lactic acid (PLLA)/ceramic ﬁbrous composites designed to be deposited directly onto orthopaedic implants prior to implantation to increase osseointegration. We produced plain PLLA ﬁbrous materials for comparison, and ﬁbrous composite materials with 𝛽 -tricalcium phosphate ( 𝛽 TCP), hydroxyapatite nanoparticles (nHAp) and hydroxyapatite nanoparticles modiﬁed with lecithin (nHAp-LE). We performed the structural analysis of produced materials with scanning electron microscopy, gravimetric determination of porosity, and water contact angle measurement. We also used infrared spectroscopy, Alizarin Red S staining, and cytotoxicity evaluation to conclude that PLLA/nHAp-LE composite material shows the most promising properties to be applied as surface modiﬁcation of bone implants. To visualise ﬁbrous composite deposition on implants, we used two models: titanium plate and stainless-steel bolt. Thus, we showed that the solution blow spun materials can be used for surface modiﬁcation of orthopaedic implants.
Ammonia Emissions from Dairy Manure Storage Tanks Affected by Diets and Manure Removal Practices

The objectives of this study were to determine: 1) ammonia emission rates from stored scraped and flushed manure from dairy cows fed either normal or low N diet; and 2) seasonal effects on ammonia emission rates from stored scraped and flushed dairy manure. Four pilot-scale tanks were used for manure storage with different treatments scraped manure for normal diet (NS), flushed manure for normal diet (NF), scraped manure for low N diet (LS), and flushed manure for low N diet (LF). The first part of the study lasted for 1 month and four treatments were all investigated; the second part of the study lasted for 12 months and two tanks with treatments NS and NF were investigated. Dynamic flux chambers and a photoacoustic gas analyzer were used to measure ammonia emission rates. There was no significant change of the N content of manure as the dietary N content is reduced (from 17.8% to 15.9% crude protein). However, ammonia emission rates from manure storage tanks were reduced by 33% (from 27.4 ± 38.1 to 18.4 ± 21.9 mg m -2 h -1 ; P<0.0001 based on paired t-test). Flushing manure reduced emission rates by 72% compared to scraping manure (from 35.6 ± 39.6 to 10.1 ± 8.2 mg m -2 h -1 ; P<0.0001 based on paired t-test). Ammonia emission rates for NS, NF, LS and LF were 43.9 ± 48.0, 10.9 ± 8.7, 27.4 ± 27.3, and 9.3 ± 7.8 mg m -2 h -1 , respectively. The chamber iii headspace temperature for NS, NF, LS and LF were 26.0 ± 6.9, 25.8 ± 6.8, 26.6 ± 6.5, and 27.2 ± 6.7 °C, respectively. The manure pH for NS, NF, LS, and LF were 6.3 ± 0.1, 6.4 ± 0.3, 6.4 ± 0.1, and 6.1 ± 0.1, respectively. Both dietary N reduction and manure flushing are recommended to reduce ammonia emission rates from dairy manure storage tanks. Ammonia emission rates were higher in summer and fall, due to higher air temperature and higher manure pH. The pH of scraped manure was 7.2±0.6, 6.7±0.2, 6.5±0.3 and 7.0±0.3 for fall, winter, spring and summer, respectively. The pH of flushed manure was 6.8±0.4, 6.7±0.4, 6.4±0.3 and 6.8±0.4 for fall, winter, spring and summer, respectively. Ammonia emission rates from scraped manure for fall, winter, spring, and summer were 7.4 ± 8.6, -0.5 ± 1.2, 1.1 ± 1.9, and 5.8 ± 2.7 mg m -2 h -1 , respectively. Ammonia emission rates from flushed manure for fall, winter, spring, and summer were 3.9 ± 4.2, -0.5 ± 0.9, 0.8 ± 1.4, and 4.4 ± 1.2 mg m -2 h -1 , respectively. Seasonal changes of air temperature and manure pH were key factors affecting ammonia emissions from manure storage in this study. Seasonal climate conditions including precipitations (rainstorms and snows) and icing can cause reduction of ammonia emissions from manure storage in open air. More attention should be paid to reduce ammonia emissions in warmer seasons, e.g., by covering the storage facilities.