Industrial Production Research Articles

Allosteric mechanism of synergistic effect in α- and β-amylase mixtures

Alpha-amylase and beta-amylase coexist as mixtures in industrial production, and the two amylases have active synergistic effects when they approach each other. These effects are due to enhanced enzyme binding affinity for the substrate and the rate of particle hydrolysis. Here, we report the allosteric mechanism of this synergistic effect in α- and β-amylase mixtures. The assay showed higher activity after mixing α- and β-amylase. Molecular docking showed that α- and β-amylase create a stable dual-enzyme complex with high binding energy, and that complex formation does not affect the exposure of respective active sites. β-Amylase is specifically bound to the B domain of α-amylase, and the dynamic plasticity of the B domain makes it move spatially, and this adjustment leads to a more open conformation in the active site of α-amylase. Because the enzymes binding make the complex more stable, the degree to which the relative activity of the dual-enzyme complex is inhibited is significantly reduced. After enzyme hydrolysis, the products maltose and glucose accumulate and produce competitive inhibition, which explains the relative activity decrease of the later-stage dual-enzyme cooperation. Structural characterization by FT-IR and CD spectroscopy did not reveal significant changes in respective secondary structures after enzyme binding.

Optimized enhanced energy absorption in polymer nanocomposites reinforced with nano-clay, nano-silica, and diethylenetriamine

In today’s world, where various industries face ever-increasing developments, improving people’s lives and preserving their property and lives are important issues in industrial production. One of the most unpleasant events in life is a collision while using the vehicle. Therefore, in recent decades, the high importance of this issue has attracted the attention of many researchers. The present study investigates the energy absorption of polymer nanocomposites with cylindrical and conical structures with different percentages of clay and silica nanoparticles to determine the various effects of nanomaterials and the effect of structure geometry on energy absorption under quasi-static tests. This experiment has been designed with the help of Design Expert software and the Box-Benken method. Also, nanomaterials between changes of 0-0.4% and diethylenetriamine material with weight% 1,3,5 have been used. From the results, it can be depicted that with the increase of the nanomaterial in this range, energy absorbed by the addition of nano silica up to the central point, i.e., 0.2%, an increase has been witnessed and after that, its intensity has decreased. Within this range, there is an observed significant rise of up to 0.4% for the nano clay material, while its trend keeps up with the previous intensity after the central point. However, in diethylenetriamine material, the highest energy absorption at the central point was 0.2%, after which a downward trend was observed. Also, in the investigation of the geometry of the structure, it was found that cone-shaped structures have higher energy absorption.

Core mechanism for the stability preparation of lithium slag-based SOD zeolite: Evolution of trans-crystallization nucleation/growth kinetics of crystals

SOD nano-zeolite has been widely applied in the separation of small gas molecules since these advantages comprise a high-density framework and favorable acid/alkali resistance. Moreover, the bottleneck for the lithium sector can be ameliorated by industrializing the manufacture of SOD zeolite (SLS) from the hazardous waste lithium slag (LS). However, the stability in industrial production is restricted owing to the ambiguous nature of the lattice nucleation/transformation mechanism. Herein, it was discovered that the highest relative crystallinity (98.8 %) of SLS with a layered spherical structure could be achieved under the crystallization condition of heating at 95 °C for 8 h. The nucleation and growth mechanisms of SLS crystals demonstrated a three-dimensional crystal growth pattern characterized by sporadic and transient nucleation, which is essentially consistent with that of crystallization kinetics. Specifically, the activation energies of the induction, transformation and crystallization phases were 41.33, 27.99 and 46.99 kJ·mol−1, respectively, implying that the directional induction of the transition phase is crucial for obtaining SLS with high crystallinity. Two nucleation processes can also be observed in the transformation stage, involving homogeneous nucleation and polymorphic transformation. Our study explored the crystallization and assembly mechanism of SLS crystals, providing a well-defined concept for the regulation of stability preparation.

Machine learning prediction of stalk lignin content using Fourier transform infrared spectroscopy in large scale maize germplasm

Lignin has been recognized as a major factor contributing to lignocellulosic recalcitrance in biofuel production and attracted attentions as a high-value product in the biorefinery field. As the traditional wet chemical methods for detecting lignin content are labor-intensive, time-consuming and environment-toxic, it is an urgent need to develop high-throughput and environment-friendly techniques for large-scale crop germplasms screening. In this study, we conducted a Fourier transform infrared (FTIR) assay on 150 maize germplasms with a diverse lignin composition to build predictive models for lignin content in maize stalk. Principal component analysis (PCA) was applied to the FTIR spectra for use as model inputs. Classification and advanced gradient boosting machine (GBM) algorithms demonstrated higher predictive accuracy (0.82–0.96) compared to traditional linear and regularization algorithms (0.03–0.04) in the training set. Notably, two optimal models, built using the extreme gradient boosting (XGBoost) and light gradient boosting machine (LightGBM) algorithms, achieved R2 values of over 0.91 in the training set and over 0.82 in the test set. Overall, the combination of FTIR and machine learning (ML) algorithms offers a high-throughput and efficient method for predicting lignin content. This approach holds significant potential for genetic breeding and the effective utilization of maize in industrial production.

Amino acids promote the rejuvenation of degenerated Metarhizium anisopliae

Metarhizium anisopliae, an entomopathogenic fungus widely employed in agricultural and forestry pest control, faces challenges related to colony growth degradation and sporulation decline during industrial production and germplasm preservation. In this study, liquid chromatography-mass spectrometry (LC-MS) was used to detect the metabolomics of the normal strain and degenerated strain, enabling a comparison and analysis of their metabolic profiles. The results revealed significant differences in metabolic phenotypes among different strains of M.anisopliae, with amino acids playing a crucial role in spore production. Through single factor and response surface tests, optimal amino acid concentrations for sporulation media were determined as follows: lysine at 25.00 mg/L, β-alanine at 140.00 mg/L, arginine at 22.5 mg/L, glutamic acid at 155.00 mg/L. Cultivating degenerated M.anisopliae using this optimized amino acid medium resulted in approximately fivefold increase in sporulation without significantly affecting LT50 values; thus indicating that the formulation promotes M.anisopliae’s sporulation without compromising its virulence.

Non-classical effective methods for reduction of heteroaromatic compounds

The review summarizes the known data on various methods for saturation and dearomatization of heterocyclic moieties, forming diverse aromatic compounds. Since the classical hydrogenation of substrates with molecular hydrogen has a number of fundamental drawbacks that hinder both its use at the laboratory level and its widespread implementation in industrial production, the main attention is paid to non-classical methods described in the literature over the last 20-25 years. The methods of ammonia-free Birch reduction, transfer hydrogenation, reduction by Hantzsch esters and some other reactions involving heterocyclic compounds are summarized and systematized. It is shown that such methods of reduction or dearomatization of heterocycles can in some cases be more efficient than classical procedures.<br> The bibliography includes 173 references.

Synchronous bioremediation of vanadium(V) and chromium(VI) using straw in a continuous-flow reactor

Vanadium (V) and chromium (Cr) are key resources widely used in industrial production. However, mining causes V(V) and Cr(VI) contamination in groundwater, posing health and environmental risks. Straw is an important byproduct and considered waste, however, it could be a solid carbon source. Therefore, the feasibility of V(V) and Cr(VI) bioremediation in groundwater was determined using straw as the carbon source in this study. A continuous-flow reactor able to resist fluctuations in pollutant concentrations in groundwater was constructed. V(V) and Cr(VI) were completely removed (100%, 10-34 d) in the reactor, and the maximum Cr(VI) removal rate from effluent was 1.19 mg/(L·h) (34-64 d). After long-term reactor operation (114 d), the V(V) and Cr(VI) removal rates reached almost 100%. Moreover, the formation of humus and tryptophan contributed to V(V) and Cr(VI) bioremediation. The extracellular polymeric substance content increased from 108.28 to 113.98 mg/g VSS, and combined with V(V) and Cr(VI) to reduce their concentrations. Moreover, functional microbes associated with heavy metal removal (Bacillus and Pseudobacteroides) and straw decomposition (Paludibacter) were found. The findings of this study offer empirical evidence that support the utilization of straw for mitigating composite heavy metal pollution, thereby laying a foundation for its practical engineering applications.

Heavy metal dynamics in riverine mangrove systems: A case study on content, migration, and enrichment in surface sediments, pore water, and plants in Zhanjiang, China

Mangroves serve a crucial role as metal accumulators in tropical and subtropical marine ecosystems, particularly in riverine mangroves, which frequently interact with terrestrial sources. In this study, we focused on the Gaoqiao and Jiuzhou Rivers within the Zhanjiang mangrove forest in Guangdong, China, and collected leaves and surface sediments from the dominant mangrove plant, Aegiceras corniculatum, near the riverbanks. We focused on seven heavy metals (Cr, Cu, Zn, As, Cd, Pb, and Hg) in mangrove leaves, surface sediments, and pore water due to their environmental significance and frequent occurrence in mangrove ecosystems. We employed multivariate statistical methods and pollution indicators to assess the potential sources and risk levels of heavy metals in these sediments. Our results reveal that the concentrations of the seven heavy metals in the sediments of the Gaoqiao and Jiuzhou Rivers varied significantly, ranging from 0.03 mg/kg to 100.00 mg/kg. Cd posed the highest ecological risk, followed by Hg and As. The comprehensive potential ecological risk in the Gaoqiao River was lower than that in the Jiuzhou River, likely due to the distribution of industrial enterprises (such as printing and cement plants) in the upper reaches of the Jiuzhou River. Additionally, the heavy metal content in the leaves and pore water of A. corniculatum ranged from 0.01 to 51.58 mg/kg and 0.001 to 133.70 μg/L, respectively. There was a significant correlation between the heavy metal concentrations in the leaves and the pore water of A. corniculatum. Notably, the leaves of A. corniculatum exhibited a remarkable Hg-enrichment capability, highlighting its potential as a mercury accumulator. Most heavy metals in A. corniculatum leaves, pore water, and sediment were concentrated in the middle and upper reaches of the river, primarily due to anthropogenic terrestrial inputs from residential production activities upstream. Consequently, heavy metal pollution in riverine mangroves is primarily associated with human activities such as aquaculture, agricultural planting, and industrial production.

Disposal of Unused Antibiotics in Community Pharmacies in Saudi Arabia: A Mixed-Methods Study.

Improper disposal of unused antibiotics poses a significant global challenge, drawing attention from various stakeholders. This discharge of antibiotics into the environment can occur through various means such as industrial production, consumption, and excretion by humans and animals, as well as improper disposal of unused or expired antibiotics. The aim of our study is to investigate the availability of proper disposal of antibiotics in community pharmacies and to explore obstacles and opportunities from pharmacist's point of view. This study used a mixed-methods approach that consisted of two study arms: quantitative and qualitative. The quantitative arm used a mystery-shopper method for assessing the disposal of antibiotics in community pharmacies. The qualitative study arm consisted of several in-depth semi-structured focus groups with a sample of pharmacists working in community pharmacies in Riyadh. The mystery shopper arm showed that 85% (n=88) refused to take the return of antibiotics. Interviews with pharmacists have indicated a lack of knowledge on safe disposal methods for antibiotics and medications. Additionally, pharmacists have cited several factors contributed to accumulation of the antibiotics such as nonadherence or policies mandating the sale of whole medication packs instead of the required amounts as a contributing factor to this issue. Furthermore, there is a lack of dedicated facilities for the population to safely dispose of their medications and/antibiotics. By acknowledging the factors contributing to improper disposal practices, recognizing the importance of proper antibiotic disposal, and advocating for multi-faceted initiatives, we can work towards mitigating this critical issue. Through collaborative efforts involving education, policy interventions, and community engagement, we can foster a culture of responsible medication disposal, ultimately safeguarding public health and environmental well-being.

Removal of Germanium from a Solution by a Magnetic Iron-Based Precipitant.

This study presents a method for the precipitation of germanium from a solution using magnetic iron-based precipitants and contrasts this method with the commonly employed neutralization-precipitation technique in industrial production, analyzing and comparing their reaction conditions and the properties of their precipitates. This study analyzes the influence of varying experimental conditions (reaction time, reaction temperature, iron:germanium molar ratio, Fe3+:Fe2+ molar ratio, and reaction pH) on the germanium precipitation efficiency. With a precipitation time of 30 min, a precipitation temperature of 30 °C, an iron:germanium molar ratio of 30:1, an Fe3+:Fe2+ molar ratio of 3:1, and a reaction pH of 5.0, the optimal germanium precipitation efficiency achieved was 99.5%. Furthermore, this study employed X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, transmission electron microscopy, and vibrating sample magnetometry to analyze the properties and composition of the precipitate, providing support for the conclusion regarding germanium precipitation using magnetic iron-based precipitants. Through theoretical analysis and instrumental testing, it was determined that the precipitation of germanium from a solution using magnetic iron-based precipitants significantly reduces the reaction time compared to those of neutralization-precipitation methods. Moreover, a magnetic iron-based precipitant substantially reduces the amount of precipitate, allows for magnetic separation of the precipitate, and effectively alleviates the problem of the presence of other valuable metals in the precipitate.

Lithium‑sulfur batteries for next-generation automotive power batteries carbon emission assessment and sustainability study in China

The rise of electric vehicles has ushered in a revolution in the automotive industry, propelling the global automotive sector towards sustainable development. However, considerable controversy persists regarding the comprehensive performance of electric vehicle batteries and their environmental impact. The development of next-generation power batteries, aimed at enhancing energy storage performance while mitigating environmental consequences, has become a focal point of research in this field. Lithium‑sulfur batteries (LSBs), with their innovative structural design and environmentally friendly materials, not only enhance energy storage performance but also harbor significant environmental potential. When coupled with an all-solid-state battery structure, the all-solid-state lithium‑sulfur battery (A-LSB) demonstrates even more superior performance. This combination represents an ideal next-generation power battery for automotive applications, offering heightened efficiency and environmental sustainability. This study conducts a prospective life cycle assessment (LCA) to examine the environmental performance, particularly carbon emissions, during the production processes of LSBs and A-LSBs in the Chinese region. The primary objective is to uncover the potential for sustainable development in the future of lithium‑sulfur battery technologies. During the research process, we conducted comparative validation by comparing with traditional ternary lithium-ion batteries (NCM) and lithium iron phosphate batteries (LFP). Experimental setups were designed to simulate both laboratory and industrial production scenarios, with a primary focus on analyzing the sustainable performance of LSB and A-LSB. The results indicate that, compared to traditional lithium-ion batteries, both LSB and A-LSB exhibit lower carbon emissions and superior environmental performance, with A-LSB showing particular promise. However, A-LSB demonstrates higher sensitivity to environmental impacts, displaying significant variations before and after industrial production. Additionally, it exhibits a greater dependency on regional resources and energy structures. In contrast, LSB displays better regional adaptability.

GUIDELINES FOR THE COMPETENCY DEVELOPMENT OF TRAINERS IN THE PLASTICS MOLDING INJECTION FACTORIES IN THAILAND

Objective: The aim of this research is to develop guidelines for the competency development of trainers in plastics molding injection factories (PMIF) in Thailand. Theoretical Framework: A mixed-methods framework is adopted, integrating quantitative data through statistical analyses like means, standard deviations, and regression, alongside qualitative insights from interviews. The framework explores relationships by combining numerical trends with thematic patterns for a comprehensive understanding. Method: The study population comprises 284 operators and 14 trainers. Data is collected through quantitative and qualitative approaches, including questionnaires and interviews, with statistical analysis applied using percentages, means, standard deviations, relationship analysis, and stepwise multiple linear regression. Results and Discussion: Guidelines for trainer competency development in PMIF in Thailand focus on three key areas—knowledge, skills, and attitude. Four sub-competencies in the knowledge domain influence training success: knowledge in 1) Teaching Psychology, 2) Trainers' Attitudes, 3) Behavior and Work Analysis, 4) Training and Counseling. In the skills domain, significant sub-competencies include: 1) Teaching Skills, 2) Listening Skills, 3) Computer Proficiency, 4) Behavior and Work Analysis Skills. The significant sub-competencies of the attitude domain include: attitudes toward 1) Modern Research, 2) Trainees' Intentions, 3) Teaching Psychology, 4) Trainers' Attitudes. Research Implications: Guidelines to enhance trainer competency in Thailand's plastics molding injection industry are provided. Findings influence training programs, workforce development, and industry productivity. Originality/Value: Key sub-competencies that predict training success are identified in the areas of knowledge, skills, and attitude. Structured approaches to enhance training success are provided, impacting professional practice and training outcomes in industrial settings.

The mechanism of short hypha formation and high protein production system mediated by cell wall integrity signaling pathway in Aspergillus niger

Aspergillus niger is a cell factory widely used in industries to produce proteases, organic acids, drugs, and other substances. The hyphal morphology of A. niger is a complex differentiated elongated tubular structure, which limits its basic research and application. In this study, the mpkA, bck1, steC, and Tpk2 genes were successfully deleted using a quick way to knock out genes based on the RNP (Ribonucleoprotein) complex. The study showed that the knockout of mpkA and bck1 kinase gene strains resulted in smaller, denser colonies, short rod-shaped hypha, and a significant increase in glucoamylase secretion. The mechanism of short hypha formation and high protein production for A. niger is the cell wall integrity signaling (CWIS) pathway. The CWIS pathway passed through the bck1-mkkA-mpkA tertiary kinase to deliver phosphorylation signals to the rlmA transcription factor, which regulated the expression of the cell wall synthesis gene agsA, thus regulating hyphal morphology. The mpkA kinase regulated the expression of the transcription factor amyR, which affected the expression of the genes glaA and amyA, thus enhancing the expression of proteins in A. niger. This study provides a strategy for the regulation of hyphal morphology and promotes the application of A. niger in industrial production.

A lightweight semi-active ankle exoskeleton utilized NiTiCu-based shape memory alloys for energy storage.

Nowadays, exoskeletons have a place in many fields, such as industrial production, medical rehabilitation, and military. However, there are still many shortcomings in the existing exoskeleton, such as heavyweight and complex structures for active exoskeleton. The driving ability of passive exoskeletons is limited. To reduce the energy consumption of wearers, based on the characteristics of the semi-active ankle exoskeleton, this paper proposes to use NiTiCu-based shape memory alloys (SMA) as the energy storage source to improve the power density. Compared to NiTi-based SMA, the phase transformation process of NiTiCu-based SMA is more rapid, which can solve the response delay problem to a certain extent. The ankle exoskeleton uses SMA deformation to compress the bias spring. When the human ankle joint needs auxiliary torque, the SMA releases the energy stored by the bias spring and transfers the energy to the ankle exoskeleton to achieve the effect of assisting the human ankle joint. During the assistance process, a control system based on the SMA mathematical model is constructed. The above-mentioned ideas provide a new approach for further expanding power density and can be widely applied in the field of robotics. During characterization, this semi-active ankle exoskeleton can effectively complete the movement state of upstairs and walking, achieve an effective power of 180 N, and store maximum energy up to 5J for the human ankle.

Analysis on microbial communities and characteristic flavor metabolic of PXDB-meju by partially substituting wheat flour with soybean flour and gluten flour

Pixian Douban (PXDB) is one of the most popular condiments in China due to its unique flavor. Wheat flour that contains abundant nutrients is an important raw material in producing flavors during PXDB fermentation. In this study, wheat flour was substituted with soybean flour and gluten flour that have higher proteins in portions of 10.4% and 4.2% (F1), 8.9% and 7.2% (F2), 9.6% and 5.8% (F3). The results indicated that the substitutions increased the amino acid nitrogen content and improved flavor quality compared with traditional group (CT). Especially, the key amino acids including spartate, glutamic, arginine and lysine, and the phenylacetaldehyde as one of the most important volatile compounds exhibited preferable higher contents in F2 group than those in CT group. Metagenomic analysis showed that the abundances of predominant bacteria, including Kosakonia_cowanii, unclassified_f__Enterobacteriaceae and unclassified_g__Enterobacter, were higher in the F2 compared to the CT. Lupinus_albus and Plutella_xylostella were the top two fungi in relative abundance, with higher growth rates in F2 than in CT. Furthermore, metabolism pathway analysis revealed higher relative abundance of enzymes producing key amino acids and phenethylaldehyde in the F2 compared to the CT. Meanwhile, these enzymes were exclusively annotated to the Kosakonia_cowanii, Bacillus_velezensis and Escherichia_coli in F2. This study provided a theoretical foundation for improving PXDB flavor quality in industry production.

Optimizing prolyl hydroxylation for functional recombinant collagen in Escherichia coli

Collagen, a key extracellular matrix component, is renowned for its biocompatibility, biodegradability, and bioactivity, finding wide applications in food, medicine, cosmetics, and industry. Recombinant collagen expression in Escherichia coli offers advantages such as shorter production cycles and lower costs compared to extraction from animal tissues, though it is known to lack essential post-translational modifications, such as proline hydroxylation, which are crucial for its stability and biological function. Studies have shown that certain prolyl hydroxylases, including BaP4H, DsP4H, and L593, exhibit relatively high modification efficiency in the E. coli expression system. However, structures and functions of recombinant human type III collagen after modification by three prolyl hydroxylases remain uncertain. In this study, we investigated the percentage of proline hydroxylation, hydroxylation sites, circular dichroism spectra, and biological functions of recombinant human type III collagen modified by various prolyl hydroxylases. The results indicated that the L593 exhibited the highest percentage of proline hydroxylation, and the percentage of proline hydroxylation was closely associated with the formation of the collagen triple helix, while the hydroxylation ratio of prolines is not positively correlated with the stability of the collagen triple helix structure. The biological function results showed that the cell adhesion of recombinant collagen 3-3(BaP4H) and 3-3(L593) was significantly enhanced, which was closely related to the triple helix structure of recombinant human type III collagen. Our study provides valuable insights into the industrial production and biological applications of collagen, enhancing its functional research and scalability.

Synthesis of polyaniline tannate-modified carbon nanotubes by oxidative copolymerization as highly efficient corrosion inhibitors for mild steel in HCl solution

Corrosion is a prevalent issue in industrial production, directly impacting the production process and causing severe damages. To mitigate this problem, corrosion inhibitors are highly desired. Herein, a novel type of nano corrosion inhibitor, referred to as PTCNT, was synthesized through an oxidative copolymerization method utilizing aniline, ammonium persulfate (APS), and tannic acid (TA)-modified multiwalled carbon nanotubes (MWCNTs). The results demonstrated that the PTCNT effectively inhibited the corrosion of mild steel in 1 M HCl solution, achieving the corrosion inhibition efficiency of 90.6 % at the concentration of 75 mg/L. Characterization results implied that the PTCNT adsorbed onto the surface of the mild steel, forming a protective shielding layer. Potentiodynamic polarization measurements proved that the PTCNT functioned as the hybrid corrosion inhibitor. Furthermore, the adsorption of PTCNT on the mild steel surface was investigated using adsorption isotherm and adsorption kinetic modeling. Quantum chemical calculations were used to elucidate the adsorption mechanism of PTCNT. These findings raise new avenues for the development of highly efficient corrosion inhibitors for the mild steel in HCl solutions.

Study on the Effectiveness of Okra as an Environmentally Friendly and Economical Lubricant for Drilling Fluid

With the gradual improvement and implementation of unconventional wells drilling and environmental regulations, there is an urgent need for high-performance and more environmentally friendly lubricants for water-based drilling fluids (WD). Developing green oilfield chemicals from natural products is a shortcut. In this work, Abelmoschus esculentus (L.) Moench/okra has been studied as the lubricant in WD. The green drilling fluid lubricant developed demonstrates excellent lubrication performance, as well as good filtration loss reduction and inhibition of bentonite hydration expansion. The results show that with the addition of 2.5% okra slurry to water-based drilling fluid, the coefficient of friction decreased by 51.68%, the apparent viscosity (AV) increased by 51.32%, the plastic viscosity (PV) increased by 42.99%, and the fluid loss decreased by 39.88%. Moreover, through TGA, SEM, FT-IR, particle distribution tests, and contact angle tests, the lubrication mechanism of okra slurry was discussed. Finally, the economic feasibility of using okra as an environmentally friendly lubricant for drilling fluids was analyzed. This work combines agricultural products with industrial production, which not only solves industrial problems but also enhances the added value of agricultural products, providing a reference for the coordinated development of industry and agriculture.

Generational Transformation and Its Reflection on Project Success: The Gen-Z

Nowadays, Gen-Z members with a high ability to use high-tech products have just entered the labor market to take responsibility in construction projects. Gen-Z members must work together with other generations and different work styles. If the harmonization among generations is not managed properly, it will decrease the productivity of the construction industry. Therefore, this study aims to identify the Gen-Z characteristics and their impacts on the project success by using Structural Equation Modeling (SEM) method. SEM results showed that Gen-Z characteristics contribute to project success through communication. Therefore, communication-related practices must be overviewed and rearranged according to Gen-Z requirements. The findings will contribute to the in-company employee strategies and assist in adapting Gen-Z members into the construction industry to increase productivity.

Analysis of the Contribution of Energy, Industry, Agriculture and Food Production to Improving the Quality of Life of Citizens in Turkic States with Efficiency and Super Efficiency Analysis Methods

Analysis of the Contribution of Energy, Industry, Agriculture and Food Production to Improving the Quality of Life of Citizens in Turkic States with Efficiency and Super Efficiency Analysis Methods