Gastric cancer, another name for stomach cancer, is a kind of cancer that begins as a cell growth in the stomach and has a poor diagnosis. The world`s pathologist shortage offers a unique chance to implement AI support systems to cut down on labor and boost diagnostic accuracy. It is believed that genetic instability, manifesting as either chromosomal instability or microsatellite instability, is a precursor to stomach carcinogenesis in the majority of cases of stomach cancer. The new categorization of stomach cancers based on histologic features, genetics and molecular phenotypes has improved early identification, prevention and therapy by illuminating the features of each subtype. Located directly below the ribs in the upper central region of the abdomen is the stomach. This research develops a solution using deep learning algorithms to aid in the pathological diagnosis of gastric cancer over Gastric Histopathology Sub-size Image Database, a publicly available database for medical image analysis. An advanced algorithm is created by combining three different algorithms, and it is then used to diagnose cancer more accurately. The combination of these three algorithms-Multitask Net, Fusion Net, and Global Net-creates a powerful ensemble model that leverages the strengths of each approach, leading to improved gastric cancer classification performance. This hybrid approach can aid in early diagnosis and treatment planning, ultimately improving patient outcomes.

Salinity is one of the major constraints prevailing in the environment, affecting plant growth, agricultural productivity, and soil fertility. The application of beneficial silicon-rich bio-stimulants presents an alternative strategy to ensure agricultural sustainability, as their use and expansion can help mitigate the adverse effects of salinity and reduce the excessive use of synthetic chemicals. The objective of this study was to evaluate the interaction between salinity levels and the use of Farina di Basalto Type XF (FdBXF) on the germination and early seedling growth of two alfalfa (Medicago sativa L.) varieties (Gabes and Azzura). Five levels of sodium chloride (0, 50, 100, 150, and 200 mM) and five levels of Farina di Basalto Type XF (0, 1, 3, 5, and 10%) were tested in 30 treatments under a completely random design. Germination percentage, mean germination time, radicle length, hypocotyl and cotyledon length, and biomass were measured at the end of the experiments. Sodium chloride significantly reduced all germination and seedling growth parameters. The reduction in the measured parameters was inversely proportional to increasing concentrations of NaCl. The application of Farina di Basalto Type XF mitigated the negative effects of NaCl (p<0.01). The most significant attenuation was recorded for a 3% concentration of Farina di Basalto Type XF. This study provides insights into the role of Farina di Basalto Type XF in salt stress tolerance in M. sativa.

The strain of nitrogen-fixing bacteria Azospirillum brasilense 137, isolated from the washed roots of spring wheat, forms on the solid synthetic malate medium (SM) whitish-beige roundish colonies, which, with aging, acquire folds, pearly lustre, and accumulate pink pigment; on solid NFb medium containing Congo Red colonies are small and red. It was shown that the growth parameters of Azospirillum brasilense 137 during cultivation on the liquid semi-synthetic and synthetic media differed significantly. For the cultivation of diazotrophs in a batch culture, a liquid semi-synthetic medium with molasses was chosen, the chemical composition of which ensures the maximum titre of the bacterial suspension. The number of colony-forming units was 3.3 billion by 24 hours of cultivation. Inoculation of spring wheat seeds with A. brasilense 137 bacterial suspension in an optimized growth medium increases the intensity of the initial growth of spring wheat and in the conditions of the field experiment provides a 16% increase in plant productivity compared to the control during 3 years.

The aim of this study was to analyze the consumer preference for the social sustainability attribute in cheese, in a developing country market. A choice experiment was applied through face-to-face questionnaires to a sample of consumers that had to choose between the attributes of social sustainability, price and type of cheese, at three levels each. A conditional logit model was used to estimate the effect, relevance and main determinants of the choices. There was an orderly process in how consumers choose. It was found that consumers preferred the cheese with the lowest price that also fully met the social sustainability and Chanco-type requirements. Moreover, consumers who valued social sustainability were characterized by being located in a non-metropolitan cheese-producing area.

The banking industry is considered one of many businesses that have taken advantage of the Internet and IT development by introducing internet banking services to their customers and this bring many benefits to banks and customers. There have been serious threats to the details of customers of banks as there have been an increase in unauthorized access, use, disclosure, disruption, modification or destruction of customer information leading to cases of fraud and poor reputation and performance of several banks across the globe. One of the most challenging issues facing the banking industry currently is security. Therefore, this study investigated the effect of security strategies on profitability of selected deposit money banks in Lagos State, Nigeria. The population of this study was 433 employees in the IT department of the selected deposit money banks. Total enumeration of the 433 employees of the selected banks was considered. Structured and validated questionnaires were used for data collection. The reliability test yielded Cronbach’s alpha for the constructs ranges from 0.947 to 0.990. Data was analyzed using inferential statistics. The findings of this study revealed that security strategies dimensions had a significant effect on profitability of selected deposit money banks in Lagos State, Nigeria (Adj. R2 = 0.838, F(4, 291) = 383.804, p<0.05). The study concluded that security strategies affect profitability of selected deposit money banks in Lagos State, Nigeria. The study recommended that management of selected deposit money banks in Lagos State should ensure that they implement the right security strategies to avert security threats that could affect their profitability.

Physiological tremor is one of the core causes for human inaccuracy during micro surgery. The isolated manually operated tasks such as those found in teleportation, virtual reality or joystick based computer access, wants the generation of an middle electrical signal which is transmitted to the control subsystem. The tremor affects the human movement which can be amended by using various techniques. In this paper, the Least mean square (LMS), Fourier series combiner (FLC) like series of derived algorithms are scrutinized first, then an improved algorithm on weighted frequency Fourier linear combiner (WFLC) algorithm is proposed.

This empirical research assesses the influence of energy consumption and agriculture on Thailand\'s economic growth associations by asking the questions: can CO2 emissions and agriculture trigger growth in Thailand? Do urbanization and energy consumption contribute to economic growth in Thailand? The research applied ARDL and the novel Fourier Toda Yamamoto causality tests to assess this interconnection. The outcome of the bounds test disclosed a long-run association among the variables of investigation. The ARDL outcomes reveal that urbanization, agriculture, energy consumption, and CO2 emissions positively trigger the economic performance of Thailand. Furthermore, the outcomes of the Fourier Toda Yamamoto causality tests reveal that agriculture and urbanization can predict economic growth. These outcomes have far-reaching implications for economic performance and Thailand\'s macroeconomic indicators.

The attempt of ensuring that economic growth is becoming greener with additional efficient use of natural capital which is captured in green growth has arose the interest of researchers, but studies in this regard on MENAT countries are scant. Thus, this study attempt to model the determinant factors of green growth in the MENAT countries using data from 1990 to 2019 and employed the Westerlund & Edgerton (2008) panel cointegration test to examine the cointegration among the variables of interest, and employed DCCE-MG technique to establish the significance of the determinant factors, while FMOLS and DOLS were utilized for robustness check. The result from the panel cointegration test revealed an existence of cointegration relationship between the variables in cases of “cross-sectional dependency” and structural breaks, which suggests that the variables move together in the long-run. Moreover, the findings from DCCE-MG estimates revealed that foreign direct investment, economic growth, renewable energy and institutional quality drives sustainable green growth in MENAT countries, while population was found to exert negative impact on sustainable green growth. The study provide some policy implications that will assist the policymakers in MENAT countries to balance sustainable green growth, economic growth, internationalization, institutional quality, environmental cost, and population.

Even though environmental scientists and intergovernmental organizations around the globe have become more conscious of global warming and other facets of climate change in recent years, research has shown that the ongoing global danger to the climate and atmosphere remains a significant problem for humanity in the twenty-first century. Thus, using annual data from 1970 to 2018, this current study provides insights on the interconnection between CO2 emissions, urbanization, energy use, renewable energy, and economic growth in Israel. To accomplish the research objectives, the following study questions are proposed: (i) Does urbanisation harm environmental sustainability in Israel? (ii) What is the influence of globalization on environmental sustainability in Israel? (iii) Does energy consumption and GDP growth contribute to environmental degradation in Israel? The study applied ARDL, wavelet coherence, and Gradual shift causality tests to assess these associations. The wavelet coherence test has the potential to detect both causal linkage and association between series at various frequencies and period. Thus, the current study fills the gaps in the existing body of knowledge. The findings from the ARDL test disclosed that urbanization, energy use, globalization, and economic growth worsen the sustainability of the environment. Moreover, the outcomes of the Gradual shift causality uncovered that all the variables can predict CO2 emissions in Israel. The outcomes of the wavelet coherence test also provide additional credibility to the outcomes of the ARDL and Gradual shift causality outcomes.

Nowadays countries are more concerned with the improvement of effectiveness and efficiency in public sector activities. The problem is how to obtain more and better public service with the limitations of the public incomes and indebtedness. This paper empirically investigates the efficiency, technical efficiency, productivity and their determinants factor of the five major municipalities in North Cyprus by conducting DEA and Tobit analyses during the period of 2004 to 2018 quarterly. The empirical results show that the size of the economically active population of a city, lower expenditures and grants results in a higher efficiency whereas the independent revenue sources (grants) and the per capita expenditures of North Cypriot municipalities have a negative effect on the efficiency. The employement rate in the municipalities has a big negative effect on the efficiency score. The results of Tobit analysis also show that population has a positive impact and this may increase the technical efficiency.