Great Benefit Research Articles

Pengaruh Kepemimpinan Transfomasional, Work Life Balance dan Beban Kerja Terhadap Komitmen Organisasi

Organizational commitment is an important concept in human resource management. Organizations that want to achieve success need to understand the factors that influence organizational commitment and implement strategies to increase the organizational commitment of their employees. so that it can provide great benefits for the performance and success of the organization as a whole. The type of research used is quantitative research, with primary data collection methods using questionnaires taken from 51 respondents who are employees of PT. Luttan Indonesia Store. The data collection technique for this research uses multiple linear regression with the help of SPSS V.27 software. Based on the research results, it is known that (1) Transformational Leadership has a significant effect on Organizational Commitment, (2) Work Life Balance has no significant effect on Organizational Commitment, (3) Workload has a significant effect on Organizational Commitment. The contribution of this research pays attention to Transformational Leadership, Work Life Balance, Workload and Organizational Commitment

The Impact of Efficient Strategic Planning on Sound School Administration Among Public School Principals in Saudi Arabia

This study came to complete the role that previous researchers began by focusing on strategic planning and linking it to an effective school administration in secondary public schools in Saudi Arabia to reach results and recommendations that may benefit principals, supervisors, and workers in the field of education. The study used the descriptive analytical approach and developed a questionnaire as an instrument, which was administered to 122 school principals from public schools in Saudi Arabia. The results concluded that the five areas each received a very high relative weight, and this reinforces the importance of school principals using strategic planning in their schools because of its great benefit in increasing the effectiveness of school administration. The findings showed no statistically significant differences between the averages of the study sample’s estimates on the role of strategic planning in increasing the effectiveness of school administration due to years of experience, as all school principals need strategic planning because of its importance and because of its novelty, which limits the number of years of service.

INOVASI TEKNOLOGI UNTUK KONSERVASI SUMBERDAYA MINERAL: TANTANGAN DAN PELUANG

Technological innovation has become the key to improving mineral resource conservation worldwide. In this paper, we discuss the challenges and opportunities faced in developing technology for mineral resource conservation. One of the main challenges is the ever-increasing demand for mineral resources, which requires extraction technologies that are not environmentally friendly and can generate waste and pollution. However, efficient processing technology, mineral recovery and recycling technology, as well as the use of renewable energy in the mining industry, digital sensors and monitoring, and geographic information technology (GIS) have shown great benefits in reducing environmental impact and increasing resource use efficiency. In addition, appropriate policies and regulations, human resource skills enhancement, community awareness and acceptance, as well as mineral resource diversification and local community empowerment are also important factors in mineral resource conservation.

Performance enhancement of NOMA multi-user networks with aerial reconfigurable intelligent surfaces and aerial relay

In this article, we propose a combination of multiple aerial reconfigurable intelligent surfaces (ARISs) with an aerial relay (AR) for improving the performance of multiple users adopting the non-orthogonal multiple access (NOMA) scheme. In particular, two groups of ARIS are utilized, one for aiding ground-to-air (G2A) communication and another one for aiding air-to-ground (A2G) communication. Mathematical formulas of outage probability (OP), throughput, and achievable capacity (AC) of every user in the proposed ARISs-AR-NOMA network are derived over the Nakagami-m channel. The propagation environment recommended for the fifth generation and beyond (5G/B5G) is applied to enhance the practical behavior of the proposed network. To confirm the performance enhancement, we compare the OP, throughput, and AC of the proposed system with the conventional AR-NOMA network (i.e., without ARISs). Numerical illustrations demonstrate the great benefits of the proposed ARISs-AR-NOMA network, its transmit power is dramatically lower than that of the conventional network. Moreover, the throughput and AC of the proposed network are considerably higher than the conventional network’s. Based on the effect of key parameters and network behaviors, various effective solutions are recommended to enhance the performance of the proposed ARISs-AR-NOMA network.

Cost–benefit analysis on the implementation of nature-based treated wastewater reuse: case of sekem farm El-Wahat, Egypt

In a context of increasing pressure on water resources and severe aridity; expansion in the reuse of naturally treated wastewater can be a viable and low-cost solution particularly for irrigation forests, green non-fruit trees, fabric crops, industrial oils, and non-edible raw crops. Wastewater treatment is increasingly recognized as a potential means in El-Wahat El-Bahariya in Egypt. However, investment decisions concerning the reuse of treated wastewater in irrigation needs to be justified in terms of financial and economic feasibility and profitability. Therefore, this research study aims to conduct a cost–benefit analysis (CBA) of an investment project “reuse treated wastewater in irrigation compared to other modes of water irrigation projects. The CBA results revealed that the cost of the initial investment for the production of treated water used for irrigating green non-fruit trees, Bamboo trees, and Cactus in Sekem El-Wahat, is economically efficient with 88% compared to the exploitation of aquifer groundwater for irrigating the same crops. That project allows for an economic gain of about 4,428.5 €/ha compared to the cost of producing aquifer ground water in Sekem Farm El-Wahat is estimated at 10,800 €/year. Substituting the use of aquifer ground water for irrigating crops with reuse of treated wastewater helps reducing energy consumption and offers great financial benefits to the beneficial communities. A net benefit of the reuse of treated wastewater project is largely positive with NPV equivalent to 4599 €/year with a medium economic efficiency (BCR) of about 0.44.

El constructivismo y las tecnologías para favorecer la enseñanza aprendizaje de la matemática en el Bachillerato

Constructivism focuses on the student as an active participant in his or her training, equipped with the necessary tools to solve various problematic situations. Faced with the challenge of obtaining better results in the learning of students, in this research an analysis is carried out regarding whether the constructivist approach and the use of technological tools favors the teaching-learning process of mathematics in high school. When analyzing the theories on constructivist learning and the conception of constructive alignment, it is considered that the application in this discipline, together with the use of technologies, would produce great benefits to the training process, which is accredited with the evidence of the results obtained by several authors. It is concluded that this methodology could be favorable for achieving meaningful learning in students, which would allow them to better understand, learn, remember and apply mathematical concepts.

80 Improving policy and practice for cyclists with a disability in The Netherlands

Abstract Purpose Cycling is known to have great health benefits and to contribute to the autonomy and independence in mobility of people with a disability. However, Dutch streets and cycling lanes are not designed for adapted bicycles, and other traffic users often do not know how to react to cyclists with an adapted bicycle. Furthermore, there is a lack of cycling policy that accounts for disabled cyclists. This raises the following questions: - Why, when, and where do people with a disability cycle? - What challenges do cyclists with a disability experience when cycling? - How can these challenges be addressed, according to people with a disability themselves and professionals in the field? This study will help to gain insight into the practice of cycling among Dutch adults with a disability, in order to better understand their challenges and needs. A better understanding of these challenges and needs is necessary to make cycling more accessible. We also aim to raise awareness amongst designers and policy officials of the great diversity within cyclists’ needs and the types of bicycles used. We ultimately hope to contribute to greater cycling participation among people with a disability. Methods We conducted ten interviews with Dutch adults with different disabilities who shared their experiences of cycling in their neighborhood environment and beyond. The interview transcripts were coded and analyzed based on main themes we identified: characteristics of general cycling behavior, motivation(s) to cycle, challenges in cycling and possibilities to improve the cycling experience. We discussed these results for improvement in a workshop with professionals in spatial and traffic design. Results We will present the experiences of cyclists with a disability, the challenges they face and suggestions for improvements. Conclusions With this study, we hope to contribute to a better understanding of the needs and experiences of cyclists with a disability. Applying these insights will help policy officers and other professionals in the field in making their policies and designs more effective and improve road designs for cyclists with a disability. Funding This research project is funded by the Dutch Ministry of Health, Welfare and Sport (VWS).

Nanozyme microspheres with structural color-coding labels for synergistic therapy of psoriasis

Psoriasis is an immune system-mediated skin disease identified by the appearance of erythematous as a central symptom. As a recurrent and chronic inflammatory disease, psoriasis is influenced by both genetic and environmental factors and is known to be with no effective cure. Considering a multifaceted etiology of psoriasis, synergistic therapy exhibits great benefits over monotherapy, which becomes common for the treatment of various diseases. Herein, we present the nanozyme microspheres with structural color-coding labels for synergistic therapy of psoriasis. In particular, microsphere hydrogel is fabricated by the edible hydroxypropyl cellulose (HPC), which can generate a photonic liquid crystalline mesophase under lyotropic conditions in solution. Through adjustment of hydrogel components, microspheres endow with different functions, including moisturizing (paraffin), cfDNA scavenging (chitosan), and anti-inflammation (cerium oxide nanozyme). To improve patient convenience, hydrogel drops with different properties are tailored with different vivid structural colors by exploiting the lyotropic behavior of HPC. Of particular note, both in vitro and in vivo experiments have demonstrated the significant therapeutic effects of the encoded structural color microspheres. Green moisturizing microspheres facilitate to relieve dry, flaky skin patches; blue cfDNA scavenging and red anti-inflammatory microspheres significantly reduce skin inflammation. More importantly, combination therapy with encoded microspheres exerted the synergistic effects, including the increased body weight, thicker epidermal layer, and reduced immune activation. Overall, this synergistic treatment offers a promising platform for personalized management of psoriasis and various inflammatory skin diseases.

Proteome-Scale Tissue Mapping Using Mass Spectrometry Based on Label-Free and Multiplexed Workflows

Multiplexed bimolecular profiling of tissue microenvironment, or spatial omics, can provide deep insight into cellular compositions and interactions in healthy and diseased tissues. Proteome-scale tissue mapping, which aims to unbiasedly visualize all the proteins in a whole tissue section or region of interest, has attracted significant interest because it holds great potential to directly reveal diagnostic biomarkers and therapeutic targets. While many approaches are available, however, proteome mapping still exhibits significant technical challenges in both protein coverage and analytical throughput. Since many of these existing challenges are associated with mass spectrometry-based protein identification and quantification, we performed a detailed benchmarking study of three protein quantification methods for spatial proteome mapping, including label-free, TMT-MS2, and TMT-MS3. Our study indicates label-free method provided the deepest coverages of ∼3500 proteins at a spatial resolution of 50 μm and the highest quantification dynamic range, while TMT-MS2 method holds great benefit in mapping throughput at >125 pixels per day. The evaluation also indicates both label-free and TMT-MS2 provide robust protein quantifications in identifying differentially abundant proteins and spatially co-variable clusters. In the study of pancreatic islet microenvironment, we demonstrated deep proteome mapping not only enables the identification of protein markers specific to different cell types, but more importantly, it also reveals unknown or hidden protein patterns by spatial co-expression analysis.

Wind turbine anomaly detection and identification based on graph neural networks with decision interpretability

Abstract Condition monitoring of wind turbines with supervisory control and data acquisition (SCADA) data has attracted increasing interest due to its great benefits in improving operation reliability and reducing unplanned downtimes of wind turbines. However, existing SCADA data-based studies focus primarily on anomaly detection, and few studies have attempted to identify the underlying causes of the anomaly. To this end, this paper proposes a new system-level wind turbine anomaly detection and identification method based on an emerging graph neural network with decision interpretability (DIGNN). A correlation-based GNN is first used to capture complex inter-sensor correlations in SCADA data. More importantly, a decision interpretability module is designed to further analyze anomaly causes and effects through a twp-step global and local anomaly decision process. It can greatly improve the interpretability of the model and provide more accurate and meaningful decision results for maintenance purposes. The effectiveness and robustness of the proposed model were verified by four fault cases with SCADA datasets from a real wind farm. The experimental results demonstrated that the proposed model can provide earlier warning of anomalies with lower false alarm rates and accurate anomaly identification with good interpretability, providing valuable help for field maintenance.maintenance.

Effect of breed and dietary composition on the miRNA profile of beef steers divergent for feed efficiency

Identifying and breeding cattle that are more feed efficient is of great benefit to beef production. Additionally, it is crucial that genes contributing to feed efficiency are robust across varying management settings including dietary source as well as being relevant across contrasting breeds of cattle. The aim of this study was to determine miRNAs that are contributing to the expression of residual feed intake (RFI) across two breeds and dietary sources. miRNA profiling was undertaken in Longissimus dorsi tissue of Charolais and Holstein–Friesian steers divergent for RFI phenotype following two contrasting consecutive diets (high-forage and high-concentrate). Ten miRNA were identified as differentially expressed (adj. P < 0.1) across the breed and diet contrasts examined. Of particular interest was the differential expression of miR-2419-5p and miR-2415-3p, both of which were up-regulated in the Low-RFI Charolais steers across each dietary phase. Pathway analysis of target mRNA genes of differentially expressed miRNA revealed enrichment (P < 0.05) for pathways including metabolic related pathways, insulin receptor signalling, adipogenesis as well as pathways related to skeletal muscle growth. These results provide insight into the skeletal muscle miRNAome of beef cattle and their potential molecular regulatory mechanisms relating to feed efficiency in beef cattle.

Charge and discharge strategies of lithium-ion battery based on electrochemical-mechanical-thermal coupling aging model

The capacity degradation is unfavorable to the electrochemical performance and cycle life of lithium-ion batteries, but the systematic and comprehensive analysis of capacity loss mechanism, and the related improvement measures are still lacking. Considering the aging mechanism of solid electrolyte interphases (SEI) growth, lithium plating, active material loss, and electrolyte oxidation, an electrochemical-mechanical-thermal coupling aging model is developed to investigate the lithium-ion battery capacity degradation. The results show that as the charge and discharge rates increase, all degradation losses of the battery get serious. The loss of positive active material is more sensitive to the discharge rate. The lithium plating loss is more susceptible to the charging rate. The increased charge cut-off voltage and the reduced discharge cut-off voltage both accelerate the battery aging. The charge cut-off voltage plays great roles in the electrolyte oxidation, loss of negative active material, and loss of lithium plating, while the discharge cut-off voltage greatly influences the loss of positive active material. Finally, the battery charging and discharging process is optimized and analyzed to obtain better anti-aging and safety performance. By clarifying the degradation mechanism and proposing effective measures, it is of great benefit to the design and operation of battery management system.

The Use of 3D Printing in Fetal Surgery for Surgical Planning: A Scoping Review.

Objectives: We sought to identify in which clinical scenarios 3D printed models are used to plan for fetal surgeries as well as the main purpose and the imaging method utilized for the models. In addition, we describe benefits and shortcomings of the models, as well as potential future improvements. Methods: In this scoping review, data were collected retrospectively from scientific databases (PubMed, Embase, Cochrane CENTRAL, CINAHL, Scopus, and the Web of Science platform) and screened by title, abstract, and full text against strict criteria. The inclusion criteria required the study be performed on a live fetus and involve 3D models used for fetal surgery. The models must have been designed from diagnostic imaging modalities such as CT, MRI, or ultrasound. The articles considered include clinical trials, review articles, cohort studies, case series, case reports, and conference abstracts. Results: Of the initial 742 articles collected, six met the inclusion criteria. Spina bifida and EXIT procedures were the most frequent use cases that inspired surgeons to print models for surgical planning. The ability to view patient-specific anatomy in a 3D handheld model was often touted as providing a great benefit to the surgical team's ability to anticipate intraoperative challenges. Conclusions: Three-dimensional printing models have been applied to plan for fetal surgeries, more specifically, for EXIT procedures and fetoscopic surgical repair of spina bifida. The potential benefits of 3D printing in fetal surgery are enormous.

The potential mechanisms and regulation of myosin and energy metabolism in endurance training.

Endurance training has great benefits for health and sports performances. However, the genes involved in endurance training and the trigged metabolic activities are still unclear.

Study on Reverse Logistics System Issues

In this information age, competition is fierce in all sectors, and the logistics industry is no exception. Numerous enterprises enjoy the great benefits brought by the advanced logistics system, and at the same time must respond to the call of the times, the sustainable development strategy and green logistics is imperative. Therefore, the establishment of a reasonable reverse logistics system is able to reduce the economic development of the ecological environment brought about by pollution, and effectively solve the rapid economic development and environmental protection issues between the special contradictions, but also appropriate to reduce the pressure on the supply of resources in the community, while easing the constraints on the contradiction of resources. The construction of low-cost, high-efficiency reverse logistics network can not only greatly enhance the efficiency of the logistics chain but also promote the synchronized and coordinated sustainable development of society, economy and environment.

Nitrate Reductase and Glutamine Synthetase Enzyme Activities and Chlorophyll in Sorghum Leaves (Sorghum bicolor) in Response to Organic Fertilization

Sorghum is a plant that mainly requires chemical nitrogen fertilization. There are organic fertilizers that can provide nutrients to plants with great benefits to the soil, such as chicken manure. To determine the influence of organic fertilization on nitrate reductase (NR), glutamine synthetase (GS), and the amount of chlorophyll, sorghum plants were grown using the following four treatments: soil (T1), soil + chicken manure 100 kg ha−1 of nitrogen (N) (T2), soil + chicken manure 200 kg ha−1 N (T3), and soil + ammonium sulfate 100 kg ha−1 N (T4). Leaves were sampled in the vegetative stage (VS), the reproductive stage (RS), and the maturation stage (MS). The highest NR activity occurred in plants with T2 and T3 in the VS. The highest GS activity was in T3 and T4 in the RS. The amount of chlorophyll a was the same in all phenological stages. However, the amount of chlorophyll b was influenced by the type of fertilization at different phenological stages. Organic fertilizers (OF) produced the highest NR activity. On the other hand, GS activity was higher with chemical fertilization (T4), which was equal to the second dose of organic fertilization (T3). Finally, chlorophyll a and b were influenced by both types of fertilization, and was different from T1.

The Ancestral Use of Ashes in Red Sorghum Malting, an Efficient Tool for Avoiding Polyphenol-Related Enzymatic Inhibition During Mashing

Malted red sorghum (Sorghum bicolor) is used as raw material in many traditional beers including Ikigage in Rwanda. In East African countries, sorghum malting may involve adding wood ashes. Mashing traditional sorghum malted with 5% eucalyptus ashes leads to a remarkable increase of EBC congress wort yield (64-69% against 15-22% without ash). Similar mashing yields can be obtained when a ratio of only 20% sorghum with ashes is used, or if ashes are added just prior mashing. Adjusting the wort pH to 6.5 with 1 M NaOH only partially mimics the presence of ashes (mashing yield = 39%). Total polyphenol and total flavanoid measurements, HPLC/UV quantitation of flavan-3-ols and ORAC antioxidant activities enabled us to show that the great benefit of ashes mainly comes from a 63-76% decrease in sorghum polyphenols.

DIGITAL TRANSFORMATION IN ALGERIA AS AN INEVITABLE NECESSITY IN LIGHT OF GLOBALIZATION

Objectives: In recent years, a radical transformation in the field of information technology has occurred. The digital transformation has become one of the most important goals that the Algerian state seeks to achieve in all fields. Methods: This transformation aims to bring great benefits to the public and state institutions on the one hand, and to keep pace with global development on the other hand. Results: However, the transformation process faces some obstacles and dangers that may curb the ability to keep pace with the major changes taking place worldwide. Conclusion: It is necessary to evaluate this process from both positive and negative perspectives to reach the maximum degree of benefit.

Research Status and Prospects of High-Voltage Pulse Plasma Rock-Fracturing Technology

With the continuous development of the geological engineering field, high-voltage electric pulse plasma rock-fracturing technology has become a research hotspot in recent years. It is now widely recognized that this fracturing technology has many application prospects and great economic benefits. Through the research process of this technology, it has proven to be an efficient and new type of rock-fracturing technology, which overcomes the problems of high cost, low efficiency, high safety risk, and serious pollution associated with traditional rock-fracturing technology. Also, it has unique advantages in terms of protecting the environment and reducing damage to the surrounding buildings. This paper reviews the research history of plasma shock wave influencing factors and pulsed discharge plasma rock-fracturing technology, summarizes the research on this technology from the perspectives of the mechanism of high-voltage electric pulse plasma rock fracturing and practical application, and discusses the feasibility of this technology when applied to the field of tunnel boring as well as the future development direction. This technology can be better used in the tunnel-boring field, which can greatly improve the tunnel-boring efficiency, but at present, the research on plasma rock-fracturing-assisted tunnel boring is still in the laboratory research stage, which lacks systematic research equipment and judging indexes, and the follow-up should focus on improving the systematic research capabilities of the plasma rock-fracturing-assisted tunnel-boring equipment, and systematically and comprehensively carry out research on rock-fracturing by plasma-assisted excavation equipment.

Internally-cooled atmospheric water harvesting enabling improved productivity

Sorption-based atmospheric water harvesting holds promise for alleviating water scarcity, but current prototypes have not shown significant increases in practical yields despite efforts in the enlarged engineering scale. This is due to weakened heat and mass transfer with a packed sorbent bed. In this work, the desiccant-coated adsorbers were employed to fabricate the water harvesting device that incorporates internal fluid for cooling and heating during sorption and desorption. Featured with an internal cooling effect, practical water productivity could be improved by 1.75–9.96 times with a low desorption temperature (45–62 °C). The continuous water harvesting system could produce 0.77–3.98 Lwater/kgsorbent/day with a thermal energy consumption of 7.7–30.4 MJ/kg in wide climates from 20 % to 80 % RH, providing a reference for device design in the engineering view. The demonstration revealed that using natural cooling in the sorption stage has great benefits in improving water harvesting performance, which can be integrated into the building sectors or a wider range of scenarios.