bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Guide to People Management Practices Focused on the Circular Economy: A Theoretical Approach
Authors: Gennaro Caroline Kühl , Simon Alexandre Tadeu , Lima Carlos Roberto Camello 
Published: January 2024

Aims: The training and development of people is essential for the companies that want to adopt the Circular Economy, but little has been objectively discussed in the literature on the subject, leaving several gaps for research. Then, the main goal of this study is to identify the people management practices organizations must adopt for the circular economy to happen in their processes and businesses.
Study Design: Literature review and analytical assessment.
Place and Duration of Study: Estate of São Paulo, Brazil, companies, experts, and general literature, between June 2019 and July 2020.
Methodology: The study used a theoretical approach to people management practices in the general context as well as in the context of the Circular Economy. Then, a subjective analysis of the interpretation was performed to find correspondence between standard requirements and Circular Economy practices. Finally, a conceptual model was created.
Results: The Circular Economy was characterized as sustainable development, justifying the need for human resource management to be oriented toward the Circular Economy. It was shown that 20% of articles in the literature address the need for people management oriented towards the circular economy. The relationship of the thirty-one identified practices with the standard requirements was divided into four dimensions: Organizational Culture; People Development; Leadership; and Team Development. A conceptual model was built based on the identified practices and classified into the four dimensions.
Conclusion: The leading practices that best contribute to the Circular Economy context are divided into four dimensions and are recommended to be adopted for the successful transition to the Circular Economy. This research contributes to the human resources management in organizations transitioning to a Circular Economy and fills a gap in the development of people for such transition. Academically, it presents a contribution to the studies of people management in the context of Circular Economy for the changing organizations.
Market Efficiency and Price Spread in Jaipur District, India
Authors: Sharma K. B. , Tiwari Kuldeep , Jain Priyanka 
Published: January 2024

“Price spread or farm retail spread” is the difference between the price paid by the consumers and the price received by the producer for an equivalent quantity of farm produce. Sometime, this is called as gross marketing margin. The marketing margin refers to the difference between the price received by seller at a particular stage of marketing and the price paid by him at preceding stage of marketing during an earlier period. The producer’s net share, total marketing costs, total marketing margins, consumer’s price and price spread in channel-III are given in Table 3. Table 3 reveals that, out of price of Rs 5765.00 per quintal paid by consumer, chickpea producer got Rs 5102.00 per quintal which accounted for 88.50 percent share. The share of marketing costs paid by chickpea-producer, wholesaler-cum-commission agent and retailer was 1.37, 2.05 and 0.49 percent of total consumer’s price, respectively. Total share of wholesaler-cum-commission agent was highest followed by chickpea-producer and retailer. Thus, total share of marketing cost of intermediaries in consumer’s price was 3.90 percent Agarwal et al 2015, Hazari et al. 2015. Total margin earned by middlemen, wholesaler-cum-commission agent and retailers was 5.60 and 1.94 percent of price paid by consumer. Wholesaler earned more as compare to retailer. So, total share of market intermediaries in consumer’s price was 7.55 percent. Price spread in channel –I was Rs 660.00 per quintal which was 11.45 percent of consumer’s price Chavhal et al. 2014, Khorne 2014, Bondare et al .2014 and Kumar 2014.
Learning Media Development Photovoltaic (PV) Integration Data Communication Scalable Model with Internet of things (IoT)-Assisted Monitoring
Authors: Asmara Bambang Panji , Patang  , Purnamawati  
Published: January 2024

The aim of this research is to create educational materials for Data Communication by combining photovoltaic (PV) technology with a scalable model and monitoring through the Internet of Things (IoT). The research assessed the feasibility of implementing photovoltaic integration and a scalable model to determine the energy usage level. Additionally, it developed a learning aid product (media trainer) that is valid, practical, and effective for learning, using IoT-assisted monitoring for data communication.
The focus of this study is on students who are using Network and Data Communication studying in the Department of Electrical and Computer Engineering at Gorontalo State University. The research will utilize media trainers as educational tools for learning purposes. The research methodology employed in this study involves the stages and steps outlined in the ADDIE development model. The validation of the product's quality feasibility has been conducted by a team of expert validators through the use of focus group discussions (FGDs). Using a methodology that involves analyzing data using descriptive statistics. The results indicated that the trainer media was deemed highly valid by a team of expert assessors, with an average total score of 3.82. Additionally, the formative assessment of the trainer media users yielded a score of 3.64, which was interpreted as highly practical. The results effectively demonstrated the difference in learning outcomes before and after using the product.
Influence of Parental Educational Levels on Children’s Hard Skills Development
Authors: Careemdeen Jalal Deen 
Published: January 2024

Aims: The primary objective of this study is to investigate the intricate connection between parental educational levels and the development of hard skills among secondary school children in Sri Lanka. Specifically, the study aims to explore the disparities in hard skills based on both fathers' and mothers' highest educational levels, considering the nuanced interplay between these factors
Study Design: The research employs a Two-Way Multivariate Analysis of Variance (MANOVA) to examine the relationships between parental educational levels and hard skills development in secondary school children. The study utilizes a sample of 1350 participants, selected through stratified random sampling to ensure a diverse socioeconomic representation. The research design incorporates a structured questionnaire, validated for reliability, to assess students' perceptions of the enhancement of hard skills and socioeconomic status. The study is conducted in secondary schools across Sri Lanka. The duration of data collection spans a specified period to ensure comprehensive insights into the nuanced relationship between parental education and hard skills development among students.
Methodology: The research methodology involves administering a structured questionnaire to the selected sample, probing into students' perceptions of hard skills development and their socioeconomic backgrounds. Two-Way Multivariate Analysis of Variance (MANOVA) is employed to analyze the data, allowing for a detailed examination of disparities in hard skills based on both fathers' and mothers' highest educational levels.
Results: The findings reveal significant differences in students' hard skills based on the educational level of fathers, with those having tertiary-educated fathers exhibiting the highest mean scores. Surprisingly, the mother's highest education level does not yield significant differences in hard skills. Importantly, a significant interaction is observed between fathers' and mothers' educational levels, emphasizing their joint influence on students' educational well-being and the enhancement of hard skills.
Conclusion: This study underscores the crucial role of both parents' educational backgrounds in shaping the development of hard skills among secondary school children in Sri Lanka.
The Impact/Role of Artificial Intelligence in Anesthesia: Remote Pre-Operative Assessment and Perioperative
Authors: Kazmi Sayed Athar Hussain 
Published: January 2024

Artificial intelligence is a thriving field in the modern world today. Almost every other operation in today’s world is being integrated with the application of Artificial Intelligence (AI). Artificial Intelligence does not only include the automation of conventional processes, but also includes the introduction of several new programs and interactions that help make work easier for everyone.
The introduction of artificial intelligence (AI) into the realm of anesthesia, particularly in remote pre-operative assessment and perioperative care, brings forth a nuanced landscape of advantages and challenges. On the positive side, AI demonstrates remarkable efficiency and precision in the preoperative phase, rapidly analyzing extensive datasets to offer accurate insights into patient health and potential risks. Its expertise in predicting and struggling through anesthesia-related risks stands out, aiding healthcare professionals in anticipating challenges and allowing for personalized interventions. The capability to tailor anesthesia plans based on individual patient characteristics further adds a layer of sophistication, potentially optimizing administration and improving overall outcomes. In perioperative care, AI’s remote monitoring capabilities provide real-time insights into vital signs and potential complications, enabling patient safety through prompt responses. Additionally, AI serves as a valuable decision support system, offering recommendations and additional information for more informed decision-making.
This article shall review the scope of artificial intelligence within the field of anesthesia and would reflect upon how it has helped people living in remote areas access better healthcare facilities through its proposition.
Panel Vector Autoregressive Modeling of Macroeconomic Interaction in Nigeria, Ghana and Cameroon
Authors: Nwanneako Sabinus Nnamdi , Essi Isaac Didi , Tuaneh Godwin Lebari , Davies Iyai 
Published: January 2024

Aims: The aim of this study is to apply Panel VAR (Vector Autoregressive) modeling and estimation to analyze the macroeconomic interaction and interdependence within the context of Nigeria, Ghana, and Cameroon. The study aims to understand the trends of key macroeconomic variables, namely gross domestic product (GDP), exchange rate, and foreign reserves.
Methodology: The study adopted three macroeconomic variables—GDP, exchange rate, and foreign reserve—and utilized annual secondary data from the World Bank spanning from 1960 to 2022. Pretests, including unit root and cointegration tests, were conducted on the variables. The panel unit root tests (Levin, Lin, and Chu t, Augmented Dickey-Fuller Fisher Chi-Square, and Phillips-Perron Fisher Chi-Square) indicated that the series had unit roots at levels but were stationary at first difference, implying integration of order one. The absence of co-integration in the panel co-integration test established the necessary conditions for estimating a panel vector autoregressive model.
Results: The trend analysis revealed that the variables were relatively low in the 1960s and 1970s but exhibited an increasing and fluctuating pattern afterward. Descriptive statistics showed variations among the countries, with Cameroon having higher GDP per capita and greater standard deviation, indicating more significant fluctuations. Ghana, in contrast, displayed lower per capita income with a lower standard deviation. The foreign exchange rate varied, with Cameroon having the highest and Ghana the lowest mean rates.Conclusion: The fixed effect model was estimated after the Hausman Test rejected the random effect model. The results indicated that foreign exchange rates had joint significance on GDP per capita, while foreign reserves did not. The study concludes that the economies of Nigeria, Ghana, and Cameroon are responsive to GDP per capita, foreign exchange rates, and foreign reserves. The policy implication is that economic practitioners in these countries should closely monitor these variables to anticipate changes in economic indicators. Therefore, the study recommends active monitoring of the economic variables used in this research to facilitate informed decision-making.
Identification of Constraints in Poultry Farming in Reasi District of Jammu and Kashmir, India
Authors: Lal Banarsi , Azad M. S. 
Published: January 2024

Poultry farming plays an important role in the livelihood for the farmers of hilly areas of Jammu & Kashmir. The hilly area farmers face a lot of constraints in poultry farming which affect their poultry birds productivity. Poultry farming is an important occupation in Reasi district of J&K. To identify the constraints involved in poultry farming by the farmers residing in hilly areas, the present study was conducted in the hilly district Reasi of Jammu and Kashmir which was selected purposively. A sample of 120 poultry farmers was selected from the selected villages. The major constraints identified were lack of lack of poultry feed in some months of the year, high disease incidence and a lack of improved strains of poultry. The majority of poultry farmers opined that there is a need to encourage the farmers to grow Azolla specially in off-season, a need of subsidy of poultry feed, awareness-cum training on poultry farming and market channel for the sale of products(eggs and meat) for better remunerative prices for the meat and eggs.
Application of Activated Rice Husk for Adsorptive Bleaching of Groundnut Oil: Kinetic, Equilibrium and Thermodynamic Study
Authors: Andrea Dallacoasta Iyayosa , Abdulsalam Abdullahi , Aboje Alechenu Audu , Azeez Oluwatosin Sarafa 
Published: January 2024

Kinetic, equilibrium and, thermodynamic studies of the bleaching of crude groundnut oil at optimized conditions were carried out using activated rice husk as an adsorbent for the bleaching process. The efficiency of bleaching was estimated by measuring the absorbance using a double- beam spectrophotometer at a wavelength of 450nm. The effects of adsorbent dosage, bleaching temperature and, contact time on the bleaching efficiency were studied. A directly proportional relationship was found between dosage and contact time and the bleaching efficiency while a bell curve was discovered for temperature increase. The surface area of the rice husk increased from
150.32 to 1450.32 m2/g while the pore volume decreased from 0.15524 to 0.12844 cm3/g after activation which was determined via a Brunauer-Emmet-Teller (BET) analysis and the results further validated by the Scanning Electron Microscopy (SEM) images obtained. The kinetic data of the bleaching process were best described by the pseudo-second order kinetic model while the equilibrium adsorption isotherm analysis showed that the results from the Temkin isotherm were the most significant. The thermodynamic study revealed that the adsorptive bleaching process is feasible, spontaneous and, exothermic with a decrease in entropy. The enthalpy value also showed that the adsorption process is predominantly physisorption. This study has revealed that an effective adsorbent can be produced from rice husks under optimized process conditions.
Organic Hydrofluoro‐Olefins (HFOs) and Hydrochlorofluoro‐Olefins (HCFOs)
Authors: Glatt Christine M. , Mukhi Sandeep , Sodani Kamlesh 
Published: January 2024

Abstract
Refrigerants that were generally toxic and flammable in the early 1900s were eventually replaced with chlorofluorocarbons (CFCs) in the early 1930s. Since then, they have undergone significant evolution, mostly driven by regulatory actions. The evolution pattern involves an initial phaseout of CFCs to hydrochlorofluorocarbons (HCFCs) followed by hydrofluorocarbons (HFCs), and finally to the current products which include a double bond in their structure and are referred to as hydrofluoro‐olefins (HFOs) and hydrochlorofluoro‐olefins (HCFOs); the term hydro(chloro)fluoro‐olefins (H(C)FOs) is employed when referring to both HFOs and HCFOs. These chemicals were/are also used as foam‐blowing agents, solvents, and propellants. Unlike HFCs and HCFCs, which are saturated organic compounds, H(C)FOs are unsaturated organic compounds (olefins or alkenes) and are composed of hydrogen, fluorine, and carbon (HFOs), or hydrogen, chlorine, fluorine, and carbon (HCFOs). The evolution of these products has mostly been driven by regulatory actions that were aimed at addressing their environmental impact. Initial scrutiny was placed on their stratospheric ozone depletion effects and later on their impact on global warming. H(C)FOs are generally categorized as having zero ozone depletion potential (ODP) and low global warming potential (GWP) and are considered more environmentally friendly, making them suitable substitutes for CFCs, HCFCs, and HFCs. The H(C)FOs reviewed in this chapter have relatively low toxicity and do not pose any health concerns for humans or the environment under normal use conditions. Toxicity datasets for a select number of substances have been reviewed by external scientific committees such as WEEL and ASHRAE as well as various regulatory bodies. Toxicological summaries of five representative commercial H(C)FOs are described in this chapter.
Controlled Sequential Assembly of DNA Nanoparticles Inside Cells Enabling Mitochondrial Interference
Authors: Yuan Meihe , Dong Yuhang , Lv Zhaoyue , Liu Jinqiao , Liu Mingxing , Xu Mengdi , Guo Xiaocui , Yao Chi , Yang Dayong 
Published: January 2024

AbstractDeveloping artificial material systems to rationally interfere with organelles is emerging as a promising route to regulate the behaviors and fate of cells, thus providing new therapeutic strategies. Herein, a DNA nanoparticles (DNPs)‐based material system is reported, which achieves controlled sequential assembly inside cells, and realizes specific interference toward mitochondria. Two types of DNPs are synthesized via radical polymerization, followed with cascade hybridization chain reaction of hairpin DNA with Cyanine5 (Cy5) for mitochondrial targeting, and with complementary sequences for base pairing, respectively. DNPs with Cy5 (Cy5‐DNPs) first entered cells to target mitochondria, and the other DNPs with complementary sequences entered cells after an interval to sequentially assemble with Cy5‐DNPs into aggregates via base pairing. Mitochondrial interference is achieved, including increased reactive oxygen species, decreased membrane potential, abnormal elevation of Ca2+ level, decreased adenosine triphosphate, and attenuated cellular migration rate. In particular, by regulating the intervals of two types of DNPs entering cells, the mitochondrial interference degree is controllably modulated. This work achieves regulated organelles interference via the precise controlled self‐assembly of DNA nanostructures inside cells, which is envisioned to have great potential in precision biomedicine.
General Synthesis of Graphene/Metal Oxide Heterostructures for Enhanced Lithium Storage Performance
Authors: Liu Wenjie , An Yabin , Zhang Xiong , Wang Lei , Li Chen , Xu Yanan , Zhang Xudong , Li Shani , Yi Sha , Gong Yue , Sun Xianzhong , Wang Kai , Ma Yanwei 
Published: January 2024

AbstractGraphene/metal oxide (rGO/MOx) heterostructures hold great promise for energy storage, yet a full understanding of their synthesis remains elusive. Herein, a general, efficient, and scalable synthesis strategy is designed for the preparation of various rGO/MOx heterostructure materials featuring robust interfacial interactions. The heterogeneous nucleation growth mechanism of metal oxides on graphene is elucidated through ex situ characterization and theoretical simulation. The surface of graphene oxide (GO) is enriched with reactive oxygen‐containing functional groups, serving as potent nucleation sites that facilitate the rapid and heterogeneous nucleation of MOx grains. Simultaneously, a stable interface (C−O−M bond) is in situ formed between graphene and adsorbed metal ions during heat treatment, producing rGO/MOx heterostructure materials. Notably, the resultant rGO/CoO heterostructure material is employed as an anode and LiCoO2 as a cathode to assemble a soft packaging quasi‐solid‐state battery, which has demonstrated an impressive energy density of 341.4 Wh kg−1 and maintains outstanding capacity retention at 93.4% after 300 cycles at a 1C current. These findings provide valuable insights into the preparation and potential applications of rGO/MOx heterostructure materials for energy storage.
An Efficient Bias‐Free Si Photocathode Coupled BiVO4‐Triethanolamine Photoelectrochemical Fuel Cell for Simultaneous Pollutant Treatment and Hydrogen Production
Authors: Wang Zhaoqi , Liu Xiaolei , Mao Yuyin , Zhang Haipeng , Wang Peng , Zheng Zhaoke , Liu Yuanyuan , Dai Ying , Cheng Hefeng , Wang Zeyan , Huang Baibiao 
Published: January 2024

AbstractPhotoelectrochemical (PEC) fuel cells that enable organic pollutants degradation while generating H2 are regarded as a viable approach in addressing global energy and environmental issues. Herein, an efficient PEC fuel cell is constructed using oxygen vacancy‐rich BiVO4 (OV:BiVO4) as the photoanode and triethanolamine (TEOA) pollutant as the fuel. Under AM 1.5 G, this OV:BiVO4–TEOA PEC fuel cell shows an ultra‐high photo‐driven current density of 20.40 mA cm−2 at 1.23 V versus reversible hydrogen electrode, which is superior to most reported PEC fuel cells. The Faradic efficiency of H2 production is about 97.26%, and no CO2 is released in the anode chamber due to the strong CO2 adsorption by excess TEOA. Further integration of a Pt/C cocatalyst coated Si photocathode in the OV:BiVO4–TEOA PEC fuel cell can achieve bias‐free H2 production with a current density of 10.17 mA cm−2. The experimental and theoretical calculation results reveal the importance of the robust complexation between the OV:BiVO4 photoanode and TEOA, which ensures thorough conversion of chemical energy in TEOA and high activity of the PEC fuel cell. This work will guide the design of efficient PEC fuel cells for simultaneous pollutant treatment and H2 production.
Photocatalytic Coupling of CH4 and CO2 to Ethanol on Asymmetric Ce−O−Zn Sites
Authors: Hao Shuya , Chen Yangshen , Peng Chen , Wang Huining , Wen Qianyou , Hu Cejun , Zhang Lijuan , Han Qing , Zheng Gengfeng 
Published: January 2024

AbstractPartial oxidation of methane (CH4) to value‐added products is significantly challenging due to the highly inert chemical property of CH4 at ambient conditions and easy over‐oxidation into carbon dioxide (CO2) or carbon monoxide (CO) at elevated temperatures and pressures. Targeting this challenge, the efficient photocatalytic coupling of CO2 and CH4 into ethanol is demonstrated, using a cerium (Ce)‐doped zinc oxide (ZnO) photocatalyst with abundant Ce─O─Zn units. Under light illumination, CO2 is adsorbed on the Ce atoms and photo‐reduced to CO, and CH4 is captured by the Zn atoms and photo‐oxidized to hydroperoxymethane (CH3OOH). The close proximity of Ce and Zn atoms on the Ce─O─Zn units allowed to further efficiently couple the as‐formed CO and CH3OOH into ethanol. Without additional Oxygen (O2) oxidant or sacrificial regent, the ethanol production rate reached 580 µmol g−1 h−1, substantially exceeding previously reports on photocatalytic CH4 oxidation. This work features to convert two greenhouse gases into value‐added chemicals with adjacent and asymmetric reaction sites, suggesting attractive potentials for CH4 and CO2 utilization.