Definition Of Boundaries Research Articles

Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing

Most cropping-and-segmenting pattern parsers typically establish a single metric/scheme to reason diverse inner correlations, resulting in over-general and redundant representations. To make pattern parsing procedure more streamlined and concise, a part-relation scissor network (PRSN) with multi-constrained attention shifters (MCASs) and multi-head attention expectation-maximum routing agreement (MhAEMRA) is proposed on the basic of matrix-based capsule network (CapsNet). MCASs detect and prune fragile part-to-whole correlations from the perspectives of inter-part diversity and intra-object cohesion. They stipulate that only those primary entities fulfilling the criteria of inter-part diversity and intra-object cohesiveness can update senior entities. MhAEMRA is defined to shield the redundant capsule voting signals. PRSN gradually parses objective semantic patterns by clustering highly associated secondary entities in a bottom-up “part backtracking” manner. Quantitative and ablation experiments surrounding face and human parsing tasks demonstrate the superiority of PRSN over the state-of-the-arts, especially for the definition of fine-grained semantic boundaries.

Sequence Stratigraphic Analysis of the Volcanic Rock–Evaporite–Clastic Rock Symbiotic Zone in the Fourth Member of the Shahejie Formation in the South of Laizhou Bay

Laizhou Bay Sag is a typical continental rift lake basin, which is affected by strike–slip activity, salt rock activity, volcanic activity, and paleoclimate change in the Tanlu fault zone, where three major lithologies—volcanic rock, clastic rock, and evaporite—mainly develop. In order to determine the sequence correspondence between the different lithologies in the study area based on drilling, logging data, and seismic data, it is determined that the fourth member of the Shahejie Formation in the southern Laizhou Bay mainly develops three types of sequences: clastic rock type sequences, salt lake type sequences, and volcanic rock/clastic rock type sequences. Two second-order sequence boundaries (SBs3L, SBs4L) and one third-order sequence boundary (SBs4U) were identified, and the principle of three divisions of system tracts (LST, TST, HST) and sedimentary processes in different types of sequences were determined by analyzing the stacking patterns of different sequences. Compared with the previous research results, this study provides a more detailed analysis of the sequence boundary definition of different blocks and different lithologic strata, and it improves the previous general sequence stratigraphic division method. Based on the study of distinct types of sequences, a unified stratigraphic framework is established in the whole zone, and the stratum thickness distribution of the fourth member of Shahejie Formation is smaller in the southwest and larger in the northeast. The study area is generally filled with pyroclastic rocks–evaporite–clastic rocks, changing from fan delta–saline lake filling to braided river delta–freshwater lake–fan delta filling from bottom to top. A sequence stratigraphic model for the comparison of steep slope–gentle slope differences is established to provide guidance for future oil and gas field exploration and development.

Defect structure-electronic property correlations in transition metal dichalcogenide grain boundaries.

Grain boundaries (Gb) in transition metal dichalcogenides are a rich source of interesting physics as well as a cause of concern because of its impact on electron transport across them in large area electronic device applications. Here, using first principles calculations, we show that beyond the conventional definition of grain boundaries based on misorientation, the defect structure present at the grain boundaries plays a significant role in defining the local electronic properties. We observed that even the standard 5-7 defect ring has differing electronic characteristics depending on its internal configuration. While the 5-7 ring presents shallow defect states, and induce long range strain fields with the local bandgap increasing up to 32.7%, the other commonly observed 4-8 defect rings introduce only mid-gap states, induce smaller strain fields with no observable bandgap change. The results show the seminal character of the individual defect structures at grain boundaries, and that their relative density can be used to determine the overall physico-chemical properties of the grain boundary.

ЭНЕРГЕТИЧЕСКИЙ АНАЛИЗ В СИСТЕМЕ ЗАЩИТНЫХ МЕРОПРИЯТИЙ ПРЕДПРИЯТИЙ АГРАРНОГО СЕКТОРА

This article discusses the issue of the system of protective measures at enterprises of the agricultural sector. Energy plays a key role in farming. The cultivation of crops is based on the conversion of solar energy into biomass. Energy flows are located between two worlds: although energy is a strategic component of the economy, it is also a thermodynamic state variable for describing ecosystems. This situation once again highlights the need to analyze energy flows in agricultural systems. There is a wide variety of approaches used to calculate farm-scale energy flows. This analysis highlights the lack of clear definition of system boundaries in farm-scale research. In addition, most of the research is mainly devoted to socio-economic flows in the sectoral context. However, internal biomass flows, which play a role in maintaining the functionality of the agroecosystem, can also be considered in accordance with a circular/systemic perspective. Thus, some recommendations are given for conducting an exhaustive energy assessment of farming systems, as well as for future research directions. An attempt has been made to conceptualize the implementation of energy expertise in the system of protective measures of the agro-industrial complex enterprise against pests (insects, rodents, birds). The separation of energy in the working part into calculated consumption and losses is proposed, with the transfer of this division to energy consumption and energy intensity of products. Thus, using this method gives a figure of the real value of energy efficiency. This eliminates the uncertainty of the traditional calculation of the energy intensity of products. It also allows for energy expertise of design and technological solutions and to obtain correct information about energy needs. Material products made from raw materials acquire, through the influence of energy, those properties that determine their need in the market. These properties and qualities are given to raw materials in a process called energy technology. There are basically two formulations of the technological process. According to the first, the technological process is a sequence and a set of operations, according to the second, more capacious and arising from the content of the term itself, technology is the science of ways to influence the material, allowing to optimize this effect. The first definition refers more to the organization and structure of production.

Product Development Processes for Individualized Products: A Case Study

The demand for individualized products is continuously increasing. For this purpose, product development processes are already established in companies. However, these processes are typically based on mass products and are not necessarily suitable for individualized products. Hence, the question emerges of how to develop and manufacture individualized products in a corporate product development setup. The characteristics of individualized products and a multiple-case study in seven companies made apparent that product development processes for complex individualized products should be adapted according to the specific requirements and relate to specific product development methods. More specifically, results indicate that a prior definition and assurance of boundaries as well as free spaces through pretested products is key, as the validation stage is constrained for such products. Methods such as in-process monitoring, postprocessing, and responsibility sharing (co-design) and the use of expert tools foster such product development processes. That gives practitioners the possibility to develop and manufacture individualized products efficiently by adapting the product development process and using the right methods. Based on these results and the literature review, we propose a novel definition of individualized products and a holistic product development process that may support discussions of the relevance of mass individualization as a new paradigm.

ОСОБЛИВОСТІ ПЕРІОДИЗАЦІЇ ТА КЛАСИФІКАЦІЇ УКРАЇНСЬКОЇ ЕМІГРАЦІЇ (ОСТАННЯ ЧВЕРТЬ XIX ст. – 2023 р.)

The article analyzes the problem of periodization and classification of Ukrainian emigration in the last quarter of the 19th century – from September to October 2023. The topicality of the topic is that, despite the presence in the domestic historical science of a significant number of works devoted to various issues of Ukrainian emigration, at this stage there is no unified approach to its periodization, which especially concerns the definition of the chronological boundaries of the fourth waves and selection of the fifth as a separate complex stage of Ukrainian emigration in the period of independence. In addition, the question remains open as to how appropriate it will be to characterize the migration movement in the conditions of Russia’s full-scale war against Ukraine as the beginning of the sixth wave of Ukrainian emigration. In the course of the study, on the basis of available scientific publications on the topic and the memories of the emigrants themselves, the reasons for each wave of Ukrainian emigration were analyzed and how they differed at different stages, which, accordingly, led to the beginning of a new period of mass migration. The prerequisites of Ukrainian emigration before and after the restoration of independence were also compared. The author also emphasized the diversity and ambiguity of the reasons for the migration movement after 1991. The peculiarities of each wave of Ukrainian emigration and their separate main periods were determined according to such criteria as motives, character, duration, distance, volume, level of education, organization, goals and purpose, etc. The author also focused attention on how much the vector of the migration movement changed as a result of the Russian armed aggression against Ukraine, which began in the spring of 2014. A special emphasis was placed on the impact of such a challenge as Covid-19 on Ukrainian emigration. The author also identified the perspective of further research, which consists in comparing the peculiarities of the periodization and classification of Ukrainian emigration with the peculiarities of the migration processes of another European country in the specified period.

Study on the Boundary Definition of Music Sampling and Copyright Protection

Study on the Boundary Definition of Music Sampling and Copyright Protection

Development and test of highly accurate endpoint free energy methods. 3: partition coefficient prediction using a Poisson-Boltzmann method combined with a solvent accessible surface area model for SAMPL challenges.

Accurately predicting solvation free energy is the key to predict protein-ligand binding free energy. In addition, the partition coefficient (log P), which is an important physicochemical property that determines the distribution of a drug in vivo, can be derived directly from transfer free energies, i.e., the difference between solvation free energies (SFEs) in different solvents. Within the Statistical Assessment of the Modeling of Proteins and Ligands (SAMPL) 9 challenge, we applied the Poisson-Boltzmann (PB) surface area (SA) approach to predict the toluene/water transfer free energy and partition coefficient (log Ptoluene/water) from SFEs. For each solute, only a single conformation automatically generated by the free software Open Babel was used. The PB calculation directly adopts our previously optimized boundary definition - a set of general AMBER force field 2 (GAFF2) atom-type based sphere radii for solute atoms. For the non-polar SA model, we newly developed the solvent-related molecular surface tension parameters γ and offset b for toluene and cyclohexane targeting experimental SFEs. This approach yielded the highest predictive accuracy in terms of root mean square error (RMSE) of 1.52 kcal mol-1 in transfer free energy for 16 small drug molecules among all 18 submissions in the SAMPL9 blind prediction challenge. The re-evaluation of the challenge set using multi-conformation strategies based on molecular dynamics (MD) simulations further reduces the prediction RMSE to 1.33 kcal mol-1. At the same time, an additional evaluation of our PBSA method on the SAMPL5 cyclohexane/water distribution coefficient (log Dcyclohexane/water) prediction revealed that our model outperformed COSMO-RS, the best submission model with RMSEPBSA = 1.88 versus RMSECOSMO-RS = 2.11 log units. Two external log Ptoluene/water and log Pcyclohexane/water datasets that contain 110 and 87 data points, respectively, are collected for extra validation and provide an in-depth insight into the error source of the PBSA method.

Comparison and Analysis of Clinical Features of Papillary Thyroid Cancer Complicated With Hashimoto's Thyroiditis.

Hashimoto thyroiditis (HT) combined with papillary thyroid cancer (PTC) is more common in clinical practice, maybe posing a serious threat to the health of patients. It is uncertain whether HT is a risk factor or protective factor for PTC. The aim of the study was to retrospectively explore the effect of HT on the biological behavior of PTC. A total of 200 patients were included in the study. Among them, 100 patients with PTC without HT were in the control group (PTC group), and 100 cases diagnosed as PTC with HT were in the experimental group (HT + PTC group). The following data were counted and analyzed, respectively: (1) the basic clinicopathologic characteristics of patients; (2) postoperative thyroid function indicators; (3) blood biochemical indicators; (4) liver function indicators; and (5) histopathological report. Compared with the PTC group, women were predominant in the PTC + HT group (P < .05). In addition, the central lymph node metastasis rate, the number of cervical lymph node metastases, and the lateral cervical lymph node metastasis rate were significantly decreased (P < .05). Thyroid peroxidase antibody (TPOAb), thyroid-stimulating hormone (TSH), and thyroglobulin antibody (TGAb) of the thyroid function index were significantly increased, while the thyroglobulin (TG) value was significantly decreased (P < .05). The alkaline phosphatase (ALP) level of the liver function index was significantly decreased, while the lactate dehydrogenase (LDH) level was significantly increased (P < .05). In the pathological examination, a large number of mononuclear cells infiltrated in the lymphocyte follicular stroma. In an ultrasound examination, the boundary definition rate is lower. Women may be more susceptible to PTC or PTC and HT than men. Patients under 55 years old accounted for a larger proportion in PTC + HT than PTC. Hashimoto thyroiditis may play an inhibitory role in the occurrence of PTC, and the presence of HT is a protective factor for PTC.

Estimating water transport in carbon nanotubes: a critical review and inclusion of scale effects.

The quasi-frictionless water flow across graphitic surfaces offers vast opportunities for a wide range of applications from biomedical science to energy. However, the conflicting experimental results impede a clear understanding of the transport mechanism and desired flow control. Existing literature proposes numerous modifications and updated boundary conditions to extend classical hydrodynamic theories for nanoflows, yet a consensus or definitive conclusion remains elusive. This study presents a critical review of the proposed modifications of the pressure driven flow or the Hagen-Poiseuille (HP) equations to estimate the flow enhancement through carbon nanotubes (CNTs). For such a case, we performed (semi-)classical molecular dynamics simulations of water flow in various sizes of CNTs, applied the different forms of boundary definitions from the literature, and derived HP equation models by implementing these modifications. By aggregating seven distinct experimental datasets, we tested various flow enhancement models against our measurements. Our findings indicate that including the interfacial layering-based dynamic slip-definition in the proposed HP equations yields accurate estimations. While considering interfacial viscosity predicts the individual CNT experiments well, using the experimental viscosity yields better estimations of measurements for the water flow enhancement through membranes of CNTs. This critical review testing existing literature demonstrates how to refine continuum fluid mechanics to predict water flow enhancement at the nanoscale providing holistic multiscale modeling.

Una ricerca senza oggetti per rimuovere limiti e aprire possibilità

The text reflects on the risk that the research of one’s object of study by scientific societies turns into the definition of disciplinary boundaries. In this sense, the search for identity through the definition of the objects of study reproposes the largely outdated subject-object paradigm on the one hand, while on the other it engages the conflicts with those who work on the same themes. Furthermore, recognizing oneself by agreeing on the objects of research distracts pedagogical societies from considering the real impact of one’s research, while the problem is not so much recognizing oneself within societies as it is being recognized and having a real impact on educational systems.

Scene-selectivity in CA1/subicular complex: Multivoxel pattern analysis at 7T

Prior univariate functional magnetic resonance imaging (fMRI) studies in humans suggest that the anteromedial subicular complex of the hippocampus is a hub for scene-based cognition. However, it is possible that univariate approaches were not sufficiently sensitive to detect scene-related activity in other subfields that have been implicated in spatial processing (e.g., CA1). Further, as connectivity-based functional gradients in the hippocampus do not respect classical subfield boundary definitions, category selectivity may be distributed across anatomical subfields. Region-of-interest approaches, therefore, may limit our ability to observe category selectivity across discrete subfield boundaries. To address these issues, we applied searchlight multivariate pattern analysis to 7T fMRI data of healthy adults who undertook a simultaneous visual odd-one-out discrimination task for scene and non-scene (including face) visual stimuli, hypothesising that scene classification would be possible in multiple hippocampal regions within, but not constrained to, anteromedial subicular complex and CA1. Indeed, we found that the scene-selective searchlight map overlapped not only with anteromedial subicular complex (distal subiculum, pre/para subiculum), but also inferior CA1, alongside posteromedial (including retrosplenial) and parahippocampal cortices. Probabilistic overlap maps revealed gradients of scene category selectivity, with the strongest overlap located in the medial hippocampus, converging with searchlight findings. This was contrasted with gradients of face category selectivity, which had stronger overlap in more lateral hippocampus, supporting ideas of parallel processing streams for these two categories. Our work helps to map the scene, in contrast to, face processing networks within, and connected to, the human hippocampus.

Optimizing natural boundary definition and functional zoning in protected areas: An integrated framework encompassing species, landscapes and ecosystems

To promote the harmonized development of economic construction and ecological protection, our study introduces an integrated framework that employs various methodologies to delineate natural reserve boundaries and spatial zoning. These methodologies aim to address issues such as insufficient protected area, excessive human-induced influences, and inadequate protection of endangered animals within nature reserve boundaries. Leveraging comprehensive data from diverse sources, including ground surveys and remote sensing detection, we conducted a survey using the Chebaling National Nature Reserve in China and its environs as a case study. Models such as the maximum entropy model (MaxEnt), Fragstats, and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) were employed to identify areas with highly suitable habitats, significant landscape diversity, and superior ecosystem quality for 16 key species. Subsequently, the irreplaceable value of the research area was calculated using the Marxan model, leading to the establishment of a novel natural boundary and development plan. We propose expanding the original nature reserve to 1344 km², dividing it into a core reserve (321 km², 23.88%) and a general control area (1023 km², 76.12%). Additionally, we recommend further division of the general protected area into several functional zones to facilitate the integration of functional diversity and ecological protection. This contributes to a more scientifically informed and rational management approach for the Chebaling National Nature Reserve. Moreover, this integrated framework offers valuable insights for assessing and identifying animal habitats globally and spatially zoning other nature reserves.

Swiss Agricultural Life Cycle Assessment: A method to assess the emissions and environmental impacts of agricultural systems and products

PurposeAgricultural production, which dominates the environmental impacts of the food sector, has specific characteristics that need to be considered in life cycle assessment (LCA) studies. Agricultural systems are open, difficult to manage and control, strongly depend on natural resources and their impacts are highly variable and influenced by soil, climate and farm management. A specific framework, efficient methods and tools are thus needed to adequately assess the environmental impacts of agricultural systems.MethodsWe present the Swiss Agricultural Life Cycle Assessment (SALCA) concept and method, developed for a detailed and specific analysis of agricultural systems. It comprises rules for the definition of system boundaries, functional unit and allocation, emission models, a life cycle inventory (LCI) database, calculation tools, impact assessment methods and concepts for analysis, interpretation and communication. This paper focuses on emission models for gaseous N, nitrate leaching, P emissions to water, soil erosion, pesticides, heavy metals, emissions from animal production and impact assessment methods for soil quality and biodiversity. The models are calculated at the crop, field, animal group and farm levels and are integrated in a consistent and harmonised framework, which is ensured by exchanging intermediate results between models.Results and discussionThe SALCA concept has been applied in numerous LCA studies for crops and crop products, cropping systems, animal husbandry systems and animal products, food and feed products, farms and product groups, the agrifood sector and food systems. The SALCA methodology has also been a backbone of the LCI databases ecoinvent, AGRIBALYSE and the World Food LCA database. The strengths of SALCA lie in its comprehensiveness, specificity to agriculture, harmonisation, broad applicability, consistency, comparability, flexibility and modularity. The extensive data demand and the high complexity, however, limit the application of SALCA to experts. The geographical scope is limited to Central and Western Europe, with a special focus on Switzerland. However, due to the modular and flexible design, an adaptation to other contexts is feasible with reasonable effort.ConclusionsSALCA enables answering a wide range of research questions related to environmental assessment and is applicable to various goals and scopes. A further development would be the inclusion of the social and economic dimensions to perform a full sustainability analysis in the SALCAsustain framework.

“How Do We Arrange Russia”: The Problem of Social Harmony in the Discourse of Post-Soviet Identity

The collapse of the Soviet Union, the large-scale transformation of the political and social structure in the early 1990s actualized the problem of nation-building in the new Russian state. The search for a “national idea” has contributed to the fact that over the past thirty years several dominant concepts of identity have changed in the Russian official discourse: from the denial of Soviet identity and the strategy of rapprochement with Western democracies to the construction of a great-power conservative identity of the “successor state”. The central place in the discourse of Russian identity is occupied by the problem of achieving social harmony through the elaboration of attitudes to the past, the construction of political values, the definition of symbolic boundaries of the political community. This research is devoted to the comparison of ideas about social harmony articulated within the framework of key concepts of post-Soviet identity of Russia.

Thixotropy and printability study of intense pulsed light sinterable copper paste formulations for flexible substrates

At present, most of the reported articles on IPL sintering of flexible copper paste focus mainly on the effects of IPL sintering parameters and copper powder modification methods on conductive copper patterns, which ignores the influence of thixotropy, printing and other properties that are of great concern in industrial production on the conductive copper pattern. In this article, four resin materials with distinctive mechanical properties, heat resistance, and stability are selected to develop a flexible copper paste formulation for IPL sintering. By focusing on the thixotropy and printing properties of different flexible copper pastes formulations, we found the relationship between these two properties and the performance of conductive copper patterns. The results show that thixotropy property affects the printing property, and the printing property affects the density and boundary definition of the conductive copper pattern film layer after sintering, thus affecting the conductivity. Finally, we obtained a flexible copper paste formulation suitable for IPL sintering with a printed line width of 35.47 μm, a line space of 31.55 μm, and a square resistance of 15.7 mΩ/◻.

Феномен риска в условиях применения алгоритмов искусственного интеллекта

With the advent of large language models, researchers became interested in artificial intelligence algorithms and their application in the activities of enterprises. Such algorithms have already made a significant contribution in the fields of medicine, transport and finance. It is now necessary to understand what side effects artificial intelligence algorithms may cause once they are integrated into the production of goods and services. The purpose of this work is to identify risk factors for the use of algorithms and artificial intelligence systems, assess their impact on the level of risk and offer tools to reduce the level of risk. As a result of the conducted research, the term “artificial intelligence” was clarified; algorithms for analytical, functional, interactive, textual and visual artificial intelligence were identified. The modern artificial intelligence system represents the next wave of enterprise automation. Using the methods of system economic theory and operational theory, the risk factors for the use of artificial intelligence algorithms in the object, process, design and environmental subsystems of the enterprise are classified. Anti-risk management actions are proposed to reduce the likelihood of a risk situation or to compensate for the damage caused. The changes in the activities of large companies in the field of information technology related to the change in the concept of copyright and intellectual property are described. The limitations of the introduction and application of artificial intelligence algorithms associated with the inertia of managers’ thinking and the complexity of restructuring business processes at the enterprise are shown. The necessity of regulation in the field of the introduction of artificial intelligence systems, the definition of clear boundaries and restrictions to ensure the safety of individuals and society as a whole, and their compliance with ethical standards are substantiated.

The Role of International Organizations in the Globalization of the Economy and its Impact on National Sovereignty

The end of World War II was the beginning of expanding organized international relations and the growth of relations between different nations in all areas, especially the trade of goods and services. The spread of these connections led to a phenomenon called globalization. Globalization is tied to freedom of trade and competition. Its requirements so far have been that governments have been forced to largely change their laws, regulations, policies, and policies to enter this field and to accept various international requirements and commitments. The activities of international organizations, both global and regional, have intensified this trend. Globalization has changed the definitive boundary between domestic and international affairs, and the process of globalization has transformed the traditional concepts and structure of governance and the relationship between governance and law. The territorial jurisdiction of countries has been severely pressured by the globalization of the economy and social relations. In this transformation, the authority of all countries, both strong and weak, has been lost due to integration into the world economy.

Exploring differences in FFCO2 emissions in the United States: comparison of the Vulcan data product and the EPA national GHG inventory

Quantitative assessment of greenhouse gas emissions is an essential step to plan, track, and verify emission reductions. Multiple approaches have been taken to quantify U.S. CO2 emissions from fossil fuel combustion (FFCO2), the primary driver of global climate change. A 2020 study analyzing atmospheric 14CO2 observations (a key check on bottom-up estimates) and multiple inventories found significant differences in the U.S. total FFCO2 emissions. The specific reasons for the differences were left for future work. Here, we take up this task and explore the differences between two widely used U.S. FFCO2 inventories, the Vulcan FFCO2 emissions data product and the Environmental Protection Agency (EPA) GHG inventory, developed using mostly independent data sources. Where possible, we isolate definitions and data sources to quantify/understand discrepancies. We find that the initial 2011 emissions difference (104 MtC yr−1; RD = 10.7%) can be reduced by aligning the two estimates to account for differing definitions of emission categories or system boundaries. Out of the remaining 90.6 MtC yr−1 gap (RD = 6.2%), we find that differences can be largely explained by data completeness, emission factors, and fuel heating values. The remaining difference, 45.4 MtC yr−1 (3.2%), is difficult to isolate due to limited EPA documentation and disaggregation of emissions by sector/fuel categories. Furthermore, the final net difference obscures countervailing gross differences (∼40 MtC yr−1) within individual sectors. Nevertheless, this comparison suggests the potential for a national estimation approach that can simultaneously satisfy reporting at the national/global scale and the local scale, maintaining internal consistency throughout and offering detailed decision support to a much wider array of stakeholders.

Mg1-xNixGayFe2-yO4 nano catalysts for green hydrogen generation with highly efficient photo/electro catalytic water splitting applications

The production of nanomaterials for renewable energy as fossil fuel substitutes is anticipated as a viable solution to the pressing issues of environmental pollution and energy scarcity. We fixated on the development of Mg1-xNixGayFe2-yO4 (x = y = 0.0–0.03; steps: 0.01) nanocatalysts by sol-gel auto-combustion route (SGAC) for the hydrogen generation through overall photo and electrocatalytic water splitting. The spinel cubic phase with Fd3m space geometry was established from XRD results. FESEM images shows cubic and spherical formed grains with definite grain boundaries and grain size of 164 and 184 nm for the MgFe2O4 and Mg0.98Ni0.02Ga0.02Fe1.98O4 nanomaterials. Soft magnetic behavior with superior saturation magnetization (Ms) and moderate coercivity (Hc) of 2.72–29.24 emu/g and 51.23–257.86 Oe was obtained for all of the developed nanocatalysts. According to the research findings, Mg0.98Ni0.02Ga0.02Fe1.98O4 nanocatalyst shows the highest photocatalytic activity of 11.38 mmol gcat−1. The as-synthesised photocatalysts' repeatability and stability were evaluated throughout repeated runs of a 4-h reaction period conducted under identical circumstances. On the other hand, the electrocatalytic studies were carried via 3-electrode arrangement (i.e., working, counter and reference) in 0.5 M H2SO4 and 0.1 M KOH electrolytes for hydrogen evolution reactions (HER) and oxygen evolution reactions (OER). The overpotential for the MgFe2O4, Mg0.99Ni0.01Ga0.01Fe1.99O4, Mg0.98Ni0.02Ga0.02Fe1.98O4, and Mg0.97Ni0.03Ga0.03Fe1.97O4 electrocatalysts at 10 mA/cm2 were −0.866, −0.82, −1.02 and −0.92 V. Consequently, owing to these photocatalytic and electrocatalytic water splitting traits, the prepared nanocatalysts are highly efficient for hydrogen generation. However, MgFe2O4, and Mg0.99Ni0.01Ga0.01Fe1.99O4 nanomaterials show high zone of inhibition (ZOI) against Bacillus subtilis and Pseudomonas aeruginosa and therefore, making it valuable also for biological usages.