Value Of Environment Research Articles

NUTRITIONAL VALUE AND IN VITRO DRY MATTER DEGRADABILITY IN MEXICAN SUNFLOWER: Tithonia diversifolia Helms (Gray)

<p><strong>Background</strong>: <em>Tithonia diversifolia</em> Helms (Gray), is a robust shrubby forage plant with high integral biomass yield (stem and leaves); susceptible to heliophany and conditioning of bromatological characteristics, nutritional value, and modification of the rumen environment is due to genetic variability between genotypes. <strong>Objective:</strong> To evaluate the macromolar quality of the biomass of introductions <em>T. diversifolia</em> Helms (Gray) established in two locations, and the nutritional value, gas production and <em>in vitro</em> rumen environment promoted by the whole plant biomass established in Ecuador. <strong>Methodology:</strong> The chemical composition of the full plant (PITD) was considered based on Dry Matter (DM), Organic Matter (OM), Mineral composition (MC), Crude Protein (CP), neutral Detergent Fiber (NDF), Acid Detergent Fiber (ADF). I<em>n vitro</em> gas production was evaluated according to Ankom Technology, considering Tiffon 85 there (<em>Cynodon dactylon</em>) at control, quantified or ammoniacal nitrogen (N-NH<sub>3</sub>), short-chain fatty acids (SCFA) and pH. The experiment was developed in a completely randomized design in factorial arrangement with three repetitions for the variable chemical composition, and the <em>in vitro</em> digestibility of the date processed through a random complete block design with six repetitions, in the ruminal ambient and production SCFA was analyzed through a completely randomized block design with three repetitions. <strong>Results:</strong> There were variable responses in the DM content for the effect of interaction P <0.01, and higher mineral content in El Carmen, Ecuador for introduction 13.5, with respect to the rest of the cultivars in both locations. NDF was significantly expressed (p<0.001) in variety 1.2 that grew in Candelaria, Ecuador. For the rest of the variables, no differences were recorded (P>0.05). The gas production of the introductions, except for 1.2, was similar to that produced by the control (Tifton 85), however, in the degradability of the OM, net gas production (Net GP) of DM and OM, stood out. introduction 1.2 compared to the control (P<0.01) and the rest of the introductions. The net GP of NDF exceeded 1.2 (p<0.02) than the control, also quantitatively to produce Acetic and Propionic Fatty Acid. <strong>Implications:</strong> The introductions of <em>T. diversifolia</em> Helms Gray based on the results obtained preserve macromolar characteristics, gas production and SCVFA production (short chain volatile fatty acids) in contrasting ecosystems such as Valle del Cauca, Colombia and Manabi in Ecuador. <strong>Conclusions:</strong> The introductions of <em>T. diversifolia</em> Helms Gray, maintain a good protein composition, produce low methane contents, have high performance in the fermentation of organic matter and the cell wall, which suggests its future use as a complement to the ration in conditions in conditions Edaphoclimatic of the province of Manabi.</p>

The Influence of Green Work Environment and Work Facilities on Employee Performance

This research aims to determine the simultaneous influence of the work environment, green work environment, and work facilities on employee performance, as well as the partial influence of these factors on employee performance at the Mojoroto District Office in Kediri City. This is a quantitative study with a descriptive approach. The population in this study consists of all employees of the Mojoroto District Office in Kediri City, totaling 36 people, with the sample taken being 36 respondents or the entire population. The analysis method used in this study is multiple linear regression analysis with the help of SPSS software version 23. The results of this study indicate that the work environment, green work environment, and work facilities simultaneously affect employee performance with an F-test significance value of 0.000 < 0.05. The T-test results indicate that the work environment, green work environment, and work facilities have a positive and significant effect on employee performance with significance values for the work environment, green work environment, and work facilities all being less than 0.05. The multiple linear regression model in this study is Y = 6.527 + 0.085X1 + 0.451X2 + e.

User intention to adopt public bicycle sharing system: a priori acceptance approach

ABSTRACT Bicycle-sharing services have received worldwide attention as a sustainable form of transportation. This study explores a priori acceptance of public bicycle-sharing system (PBSS) in India, which is still in the early phases of adopting PBSS. The effects of psychological factors, such as perceived usefulness (PU), perceived ease of use (PEoU), perceived fun (PF), health value (HV), and environment values (EV), on intention to use PBSS are studied, utilizing an extended technology acceptance model. 747 samples were collected from online questionnaires in Dehradun, India. Results of Structural Equation Modelling revealed that intention to use PBSS is strongly predicted by PU and PF together, while PF mediates the influence of PEoU. Furthermore, EV and HV generate positive behavior intention to use PBSS through PU, PF, and PEoU. The study suggests promoting PBSS as a green and active transportation mode offering high PU and enjoyment, with theoretical and practical implications discussed.

STRENGTHENING AKHLAK TASAWUF MATERIAL IN THE SUBJECT OF AKIDAH AKHLAK IN MADRASAH

The research aims to explore the process of strengthening akhlak tasawuf material in akidah akhlak subjects in madrasah. The research utilized a library research method involving the stages of collecting, reviewing, and analyzing existing relevant literature pertaining to the topic. The data analysis procedure was conducted by evaluating and synthesizing research data, which could either support or oppose the initial argument. Through conducting a literature synthesis, the researcher compiled a comprehensive picture of the pattern of strengthening akhlak tasawuf, highlighting key findings, and identifying trends that emerged from existing literature. The results of the research show that strengthening akhlak tasawuf in akidah akhlak subjects can be done by adding material on akhlak tasawuf, providing space for students to engage in contemplation in the form of collective remembrance, involving parents to apply akhlak tasawuf values ​​in the family environment and conducting regular evaluations. Providing space for collective remembrance will refine students' feelings in understanding the moral teachings of tasawuf. Contemplation for students will help in correcting wrong morals. Involving parents will strengthen the akhlak tasawuf values ​​that have been instilled. Evaluation is useful for finding out programs that need to be strengthened.

A multi-period intuitionistic fuzzy consensus reaching model for group decision making problem in social network

A new intuitionistic fuzzy consensus reaching model is developed with multi-period public opinions and expert evaluation values in social network environment. First, the public opinions are obtained by using the crawler software and sentiment analysis technology is used to transform public opinions into intuitionistic fuzzy decision matrix in each period. Attribute weights are calculated by using the time attenuation factor and changes in public opinion. Second, the social trust relationship is modeled and incomplete social trust relationships are completed by using Archimedean t-norm. The expert weights are calculated by using the dynamic trust degree and similarity degree. Third, a consensus framework is proposed for multiple-period decision making problem, which coordinates conflicts between experts through dual feedback paths. The collective opinion scores are calculated by using weights of periods and attribute weights obtained from the word frequency of public opinions. The tourism attraction recommendation method is used to illustrate the proposed method.

Research on the Impact and Countermeasures of Exhibition Environment on Hotel Indoors

In the modern hotel industry, the optimization of indoor display environment not only affects the first impression of customers, but also has a profound impact on the brand image and market competitiveness of the entire hotel. A well-designed display can significantly enhance customer experience, enhance customer satisfaction and loyalty towards the hotel. The focus of this study is to explore the overall impact of display environment on the indoor atmosphere of hotels, and provide targeted improvement strategies. Further empirical research is used to support theoretical analysis and strengthen the practical application value of display environment. The article aims to provide hotel managers with a systematic solution to optimize indoor displays and stimulate the potential commercial value of the hotel.

PH-Responsive, Wide Color Gamut Dynamic Color Display Enabled by PDMAEMA Brush-Based Fabry-Perot Resonant Cavity.

Dynamic color-changing materials have attracted broad interest due to their widespread applications in visual sensing, dynamic color display, anticounterfeiting, and image encryption/decryption. In this work, we demonstrate a novel pH-responsive dynamic color-changing material based on a metal-insulator-metal (MIM) Fabry-Perot (FP) cavity with a pH-responsive poly(N,N-dimethylaminoethyl methacrylate) (PDMAEMA) brush layer as the responsive insulating layer. The pH-responsive PDMAEMA brush undergoes protonation at a low pH value (pH < 6), which induces different swelling degrees in response to pH and thus refractive index and thickness change of the insulator layer of the MIM FP cavity. This leads to significant optical property changes in transmission and a distinguishable color change spanning the whole visible region by adjusting the pH value of the external environment. Due to the reversible conformational change of the PDMAEMA and the formation of covalent bonds between the PDMAEMA molecular chain and the Ag substrate, the MIM FP cavity exhibits stable performance and good reproducibility. This pH-responsive MIM FP cavity establishes a new way to modulate transmission color in the full visible region and exhibits a broad prospect of applications in dynamic color display, real-time environment monitoring, and information encryption and decryption.

The effect of COVID-19 anxiety on nurses' productivity determinants through perceived workload and individual job performance: A Bayesian mediation analysis

This study aims to predict how COVID-19 anxiety affects productivity determinants by examining the role of perceived workload and individual job performance as mediators using Bayesian mediation analysis. To achieve the study's objectives, all nurses working at Imam Reza Hospital were recruited to participate. To gather data, all eligible and voluntary nurses were asked to complete questionnaires that included the Corona Disease Anxiety Scale (CDAS), Individual Job Performance Questionnaire (IJPQ), NASA Task Load Index (NASA-TLX), and Workforce Productivity Questionnaire. Of the total number of nurses employed, 222 (126 women and 96 men) nurses fully completed the questionnaires. Out of these, 140 individuals were married and 82 were single. The mean ± standard deviation (SD) of the age and experience were 28.56 ± 5.78 and 8.49 ± 6.50, respectively. GeNIe software version 2.0 utilized to analyze the Bayesian network. The results showed that for the high COVID-19 anxiety and high workload states, with a probability of 100 %, the probability of high evaluation and high environment increased by 16.6 % and 16.3 %, respectively, but low evaluation and low environment decreased by 22.4 % and 22 %, respectively. In the high COVID-19 anxiety and low IJP states with a probability of 100 %, most change was related to the high ability (6 % increase), low evaluation (3.9 % increase), high incentive (3.8 % increase), low ability (4.6 % decrease) and low support (2 % decrease). Regarding COVID-19 anxiety (high 100 %), workload (high 100 %) and IJP (low 100 %), most of the increase was related to high environment and high evaluation by an increase of 17.3 and 17.2 %, respectively. Also, the value of low evaluation and low environment was reduced by 24 and 23.4 %, respectively. The study's findings confirm that nurses have been more productive during the COVID-19 pandemic, despite facing high workloads and the COVID-19 anxiety.

Multiple large shareholders and analyst activities

This paper examines whether analysts' decisions to follow or visit a firm are affected by a specific governance structure—multiple large shareholders (MLS). Using a sample of 3369 Chinese firms listed on the Shanghai and Shenzhen stock markets, we compare analyst activities for MLS firms with those for single-large-shareholder firms and find that analysts are more willing to cover/visit firms with MLS. We then empirically identify that MLS affects analyst activities through corporate governance, information environment, and firm's value, supporting the monitoring role of other blockholders on the controlling shareholder. Further analyses show that the impact of MLS on analyst activities is more prominent when other large shareholders have more power relative to the controlling shareholder, when MLS represent different types of ownership (state and nonstate), and when at least one is foreign. We also find that firms with MLS, by attracting analyst following or site visits, tend to have more accurate forecasts and more informative analyst reports. Our results imply that analysts not only view MLS as better governance but also acquire more information from firms with MLS.

A dataset of desert plant catalogue in Xinjiang

The dataset of desert flora catalogue in Xinjiang was constructed by consulting monographs such as Chinese Flora, Xinjiang Flora, Chinese Desert Flora, Xinjiang Flora, Xinjiang Tree Chronicles, as well as related documents and major online open databases, aiming to enhance the accuracy and completeness of the data and information included in the catalogue. This dataset comprises 31 families, 150 genera and 360 species of desert plants in Xinjiang, including 355 species of angiosperms and 5 species of gymnosperms. Among them, there are 80 species of plants with medicinal value, 61 species of plants with forage value, and 26 species with economic value, accounting for 22.2%, 16.9% and 7.2% of all plants in the dataset, respectively. This dataset contains the Chinese names, Latin names, aliases and other information of desert plants, which can provide scientific reference and basic data for scientific research on various aspects, such as the growth environment and plant value of desert plants. Moreover, it is of great significance for the conservation and development of desert plant diversity in Xinjiang.

Research on Predictive Control Method of Pigsty Environment Based on Fuzzy Control

At present, most of the environmental control systems of pigsties use direct control methods; when factors, such as temperature and humidity, exceed the set threshold value, the corresponding actuator is turned on for regulation. However, such methods have problems such as low control accuracy, high energy consumption, and untimeliness. In order to save on energy consumption and improve control accuracy, this paper takes the predicted value, set value, and current detection value of the internal environment of a pigsty as input, and combines fuzzy control and direct control methods to realize the predictive control of the pigsty environment. The test results show that, compared with the direct control method, the fuzzy predictive control method can make fluctuations in the internal temperature and humidity of the pigsty less close to the set threshold value, while the ammonia concentration hardly exceeds the set threshold value. The results show that predictive control can more accurately control the internal environment of the pigsty and reduce energy costs by about 20%. Therefore, this method can provide scientific and effective environmental control methods for agricultural production processes, such as livestock breeding and greenhouse cultivation, in semi-confined spaces.

Detection of moisture of flowing grain with a novel deep learning structure using 2D spectrogram data

In order to preserve the stored grain for a long time without deterioration, the moisture content must be accurately known. In this study, the moisture content of flowing grain was determined using radar spectrogram data and CNN structure. A free-space measurement technique-based experimental environment was established for the purpose of collecting the necessary signals to measure the moisture content. The measurement plant is composed of two horn antennas, a vector network analyzer (VNA), and a flowing grain mechanism. In the experimental environment, the S11 and S21 parameter values are recorded from the VNA. The short-time Fourier transforms (STFT) of the recorded signals were then taken, and 2D spectrogram images were created. The dataset, comprising 22,780 images, was split into 80 % for training and 20 % for testing; then, they were subjected to regression analysis using CNNs. First, the mean absolute error (MAE) values of the 27 pre-trained CNN architectures in a single epoch are calculated. Subsequently, the architecture with the best four regression results is automatically selected. The training and testing steps are performed independently for each selected architecture, and the results are recorded. The MAE, root mean square error (RMSE), mean square error (MSE) and mean absolute percentage error (MAPE) metrics are employed to assess the efficacy of the CNN architectures. Among these, ResNet50 is the architecture that yields the most favorable results. Subsequently, a subsequent architecture with fewer parameters and a more expeditious processing time is proposed. The novel deep-learning CNN architecture demonstrated superior performance compared to the pre-trained architectures. The results are as follows: MAE = 0.0411, MSE = 0.0149, RMSE = 0.122, and MAPE = 0.0397. When comparing the time spent on training and testing, the least time-consuming architecture required approximately 72 min, whereas this study was completed in approximately 325 s. The pronounced disparity is readily apparent. The results demonstrate that when the CNN is appropriately modeled and trained, the combination of CNN and appropriate signal processing can effectively determine the moisture content of grains.

Evaluation of the turning parameters of AISI 5115 steel in dry and MQL cutting environments with the use of a coated carbide cutting insert: An Experimental Study

This study investigates the effects of cutting parameters on turning AISI 5115 steel in both dry and MQL environments using a coated carbide insert. The cutting parameters are determined using a full factorial design. A comprehensive full factorial experimental design was executed in order to investigate the effect of cutting parameters, including cutting speed, feed rate, and depth of cut, on surface roughness, cutting force and cutting temperature. Following the completion of the turning trials, surface roughness measurements were meticulously recorded. Also cutting force and cutting temperature were measured. The results of the study indicated that the most significant influence on surface roughness is exerted by the feed rate. Moreover, the impact of the depth of cut became more significant as the cutting speed decreased. While the surface roughness increased by 23% in the dry environment due to the increased feed rate at low cutting speed, the increase in the MQL environment was 32%. The cutting temperature is influenced by a number of factors, including the cutting parameters and the material properties. The maximum temperature for turning in the MQL environment was 381°C compared with an average cutting temperature of 430°C in dry machining conditions. The application of high-speed cutting in a dry cutting environment was found to result in a 10% increase in cutting temperature. The influence of cutting speed on the outcome was less pronounced in the MQL environment. At high cutting speeds and low parameter values in the MQL environment, the cutting force decreased by 75% in contrast to the low cutting speeds and high cutting parameters in the dry environment. The optimal cutting conditions for minimising cutting force were identified in the MQL environment, characterised by high cutting speeds and low feed rates.

Actualization Of Parenting and Teacher Collaboration in Instilling the Character of Early Childhood Responsibility

This study aims to analyze more deeply about the actualization of parenting collaboration between parents and teachers in instilling the character of responsibility in children. A phenomenological approach was utilized to delve into the perspectives of the participants involved. Data were analyzed using the model proposed by Milles, Huberman, and Saldana, encompassing data collection, data condensation, data presentation, and drawing conclusions. The research findings indicate that collaboration between parents and teachers in instilling a sense of responsibility in early childhood can create an environment conducive to the formation of responsible values in children. Through close cooperation, children can comprehend the importance of being accountable for their actions and decisions, with parents serving as primary role models at home and teachers reinforcing these values in the school environment. Keywords: parent and teacher collaboration, character education parenting, responsibility, early childhood

Application of Fuzzy Logic in Prediction to Determine the Value of Water Quality and Environment in Lettuce Hydroponics

The need for food such as vegetables and fruits will never stop. Meanwhile, with the times, agricultural land is decreasing. In order to meet food needs, the community needs to make efforts to utilize limited agricultural land by applying hydroponic farming techniques. With hydroponic techniques, people can produce vegetables and fruits to fulfill their food needs. Yields from hydroponics are influenced by several factors, such as water quality and the surrounding environment. In grouping the quality of crops can use the help of fuzzy logic. That way, the application of fuzzy logic in hydroponic farming techniques is useful for assessing the quality of food needs

Tangible or intangible satisfiers? Comparative study of visitor satisfaction in a nature-based tourism destination in the pre- and during-COVID pandemic

Nature-based destinations started to become objects of travel for various visitor segments during the COVID-19 pandemic. The changing environment and the travel conditions influence overall visitor satisfaction and its determinants. This study identifies the role of tangible and intangible factors in forming overall visitor satisfaction with a stay in a nature-based tourism destination and their changes due to the COVID-19 pandemic. A Generalized Linear Model with a logit link function was used to identify the significant satisfiers and to determine the factors that play a critical role in visitor satisfaction in the during-COVID era compared to the pre-COVID period. The results show that intangible satisfiers play a more significant role than tangible ones in the COVID time. Surprisingly, natural features are insignificant in explaining overall satisfaction at a nature-based destination in the during-COVID in comparison with the pre-COVID period. In contrast, active sports options have become a significant satisfier in the COVID era. This comparison results contribute to the current theory, and the findings indicate the practical implications for Destination Management Organisations regarding sustainable tourism development. Management implications•Destination Management Organisations (DMO) in nature-based destinations should become more conscious of changing visitor structures concerning destination satisfaction.•DMOs could focus more on promoting activities such as active sports options and tourism infrastructure than natural features regarding current visitor preferences; however, sustainability should be a fundamental goal of competitive tourism destinations.•There is a need to carefully deal with the expanding tourism infrastructure development and prevent uncontrolled growth of commercial activities and attractions that would act against the interests of residents and endanger the value of the natural environment.•DMOs should educate the changing visitors about the importance of responsible tourism.•DMOs should focus on environmental-friendly activities which do not negatively impact nature in terms of using land and natural areas for commercial activities and construction.•DMOs should make efforts to attract their environmental sensitive pre-COVID visitors and target new segments searching for health and sustainability, such as the Lifestyle of Health and Sustainability (LOHAS) segment and the Free Independent Travellers (FIT).

Post-play communication of emotions facilitates prosociality and cooperation

Social decisions with monetary consequences are often accompanied with emotional consequences. Previous studies document a robust role of pre-play message communication in facilitating pro-sociality and cooperation. Yet, the effects of communicating emotional experiences in social interactions (particularly post-play) remain understudied. Here, we examine the value of a social environment where emotional expressions are shared post-play in contrast to a private environment where emotion exposure is absent. We develop an experimental design that facilitates emotion exposure and can be readily administered in or outside the laboratory. In this pre-registered online study, participants (N = 196) completed incentivized extensions of the Dictator Game (DG) and the Prisoners' Dilemma Game (PD). Participants learned to classify their emotional experiences on the arousal, valence, and dominance dimensions using non-verbal pictorial representations. Our experiment comprised both a within-subject and a between-subject manipulation: each participant completed a control condition (C, no emotional exposure) as well as an emotion exposure condition (Emotions), but the type of exposure varied between subjects (certain exposure, or Emotions-E, or probabilistic exposure, or Emotions-P). In all conditions, participants complete a one-shot DG and PD. We find that emotion exposure increases other-regarding behavior under both Emotions-E and Emotion-P conditions in the DG and under Emotions-E only in PD. Further, we find that demand for emotion exposure is hardly driven by the outcome of the social interaction (or the actions selected). We also document how empathic concern influence other-regarding behavior and how reports of emotional experiences vary across treatments and with the different outcomes of social interactions. Our results highlight the integral role of emotion exposure in social decision making. Environments that facilitate the communication of emotional experiences increase pro-sociality and encourage cooperation.

Occupational Stress and Job Satisfaction of Wushu Teachers in Selected University in Shandong Province

With the continuous development of the country and the deepening of education reform, the society has higher and higher requirements for university students, and the teaching industry has received more and more attention from the society, which not only promotes the development of the teaching industry, but also brings negative impacts to the teaching industry. Therefore, the attention on the occupational stress and job satisfaction of this group of teachers has become imminent. Wushu major as a component of physical education major, the social demand for wushu teachers is also increasing year by year, therefore, the society, schools and individuals give university wushu teachers more and more occupational stress, teachers' job satisfaction is also uneven. In this study, based on a large number of literatures, 126 wushu teachers from 5 universities in Shandong Province were investigated on their occupational stress and job satisfaction by questionnaire method. Occupational stress is studied from five aspects. Education and Teaching, Scientific Research, Personal Development, Organization and Management, and Human Relations. Job satisfaction is studied from five aspects, which are: Working Environment, Interpersonal Environment, Occupational Environment, Occupational Affection, and Occupational Values. SPSS software is used to analyze the data, and it is concluded that wushu teachers in Shandong University have greater occupational stress in "scientific research", and the job satisfaction in the field of "interpersonal relationship environment" is the highest. Meanwhile, combined with the data analysis, it is concluded that occupational stress and job satisfaction are positively correlated. In other words, as occupational stress increases, job satisfaction also tends to increase to some extent, or vice versa. Finally, through the analysis and integration of the five aspects that affect the occupational stress and job satisfaction of university wushu teachers, the solution measures are proposed from the level of individuals, schools and management departments.

Moderating Role of Environment on the Relationship of Competitive Strategy and Firm Performance: Based on Machine Learning and Text Analysis

The impact of competitive strategy on firm performance has been a fundamental and important issue. However, there is a little research on moderating role of environment on the relationship, especially moderating role of different dimensions of environment. This study employs the technology of machine learning and text analysis to obtain the measure value of competitive strategy and environment. On this basis, the research empirically investigates the moderating effect of environmental dynamism, complexity and competitiveness on the relationship between competitive strategy and organizational performance. The results show that both types of competitive strategy can improve corporate performance, environmental characteristics have a significant impact on the causal relationship mentioned above, and there are differences in the moderating effects of different environmental dimensions. Some conclusions are inconsistent with the research of foreign scholars. The differences in conclusions reflect the impact of China's transitional economic environment on corporate competitive strategy decisions and result.

Teologi Pendidikan Agama Kristen: Fondasi Dan Implikasi Untuk Pendidikan Modern

This research aims to explore how Christian Religious Education Theology plays a key role in shaping the foundation for the development of a modern education system based on Christian principles. This theological foundation includes an understanding of Biblical teachings on education, the role of Jesus Christ as the primary example in education, and the Christian perspective on character formation. Its impact involves the application of Christian moral and ethical values in the educational environment, the formation of personalities based on love, and the development of curricula that integrate knowledge with spiritual values. With the proper understanding and application of Christian religious education theology, modern education can produce individuals who are not only academically intelligent but also have strong moral and spiritual integrity, ready to face the challenges of this era. The purpose of this research is to enable students to understand and grow in Christ, so that they can achieve spiritual maturity and be protected from the negative influences of their environment on their faith. The method used is qualitative, where every observed phenomenon in society is described in detail. Data are collected through observation, books, PDF, journals, and documentation. The results of the research show the importance of teaching the divine aspects of Christ in the curriculum of Christian Religious Education.