bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compartment-specific energy requirements of photosynthetic carbon metabolism in Camelina sativa leaves
Authors: Wieloch Thomas , Sharkey Thomas David 
Published: January 2022

AbstractDetailed knowledge about plant energy metabolism may aid crop improvements. Using published estimates of flux through central carbon metabolism, we phenotype energy metabolism in illuminated Camelina sativa leaves (grown at 22 °C, 500 μmol photons m-2 s-1) and report several findings. First, the oxidative pentose phosphate pathway (OPPP) transfers 3.3% of the NADPH consumed in the Calvin-Benson cycle to the cytosol. NADPH supply proceeds at about 10% of the rate of net carbon assimilation. However, concomitantly respired CO2 accounts for 4.8% of total rubisco activity. Hence, 4.8% of the flux through the Calvin-Benson cycle and photorespiration is spent on supplying cytosolic NADPH, a significant investment. Associated energy requirements exceed the energy output of the OPPP. Thus, autotrophic carbon metabolism is not simply optimised for flux into carbon sinks but sacrifices carbon and energy use efficiency to support cytosolic energy metabolism. To reduce these costs, we suggest bioengineering plants with a repressed cytosolic OPPP, and an inserted cytosolic NADPH-dependent malate dehydrogenase tuned to compensate for the loss in OPPP activity (if required). Second, sucrose cycling is a minor investment in overall leaf energy metabolism but a significant investment in cytosolic energy metabolism. Third, leaf energy balancing strictly requires oxidative phosphorylation, cofactor export from chloroplasts, and peroxisomal NADH import. Fourth, mitochondria are energetically self-sufficient. Fifth, carbon metabolism has an ATP/NADPH demand ratio of 1.52 which is met if ≤21.7% of whole electron flux is cyclic. Sixth, electron transport has a photon use efficiency of ≥62%. Lastly, we discuss interactions between the OPPP and the cytosolic oxidation-reduction cycle in supplying leaf cytosolic NADPH.Main ConclusionThe oxidative pentose phosphate pathway provides cytosolic NADPH yet reduces carbon and energy use efficiency. Repressing this pathway and introducing cytosolic NADPH-dependent malate dehydrogenase may increase crop yields by ≈5%.
Megaviruses contain various genes encoding for eukaryotic vesicle trafficking factors
Authors: Neveu Emilie , Khalifeh Dany , Fasshauer Dirk 
Published: January 2022

AbstractMany intracellular pathogens, such as bacteria and large viruses, enter eukaryotic cells via phagocytosis, then replicate and proliferate inside the host. To avoid degradation in the phagosomes, they have developed strategies to modify vesicle trafficking. Although several strategies of bacteria have been characterized, it is not clear whether viruses also interfere with the vesicle trafficking of the host. Recently, we came across SNARE proteins encoded in the genomes of several bacteria of the order Legionellales. These pathogenic bacteria may use SNAREs to interfere with vesicle trafficking, since SNARE proteins are the core machinery for vesicle fusion during transport. They assemble into membrane-bridging SNARE complexes that bring membranes together. We now have also discovered SNARE proteins in the genomes of diverse giant viruses. Our biochemical experiments showed that these proteins are able to form SNARE complexes. We also found other key trafficking factors that work together with SNAREs such as NSF, SM, and Rab proteins encoded in the genomes of giant viruses, suggesting that viruses can make use of a large genetic repertoire of trafficking factors. Most giant viruses possess different collections, suggesting that these factors entered the viral genome multiple times. In the future, the molecular role of these factors during viral infection need to be studied.Abstract FigureSynopsisGiant viruses enter their eukaryotic host cells by phagocytosis. For reproduction, they hijack the host cell’s membranes by an unknown mechanism. Here, we found that giant viruses express several core factors of the eukaryotic vesicle fusion machinery, including SNARE, Rab, SM proteins, and the disassembly protein NSF. Very probably, these genes were transferred from different eukaryotic hosts to different viruses. Whether the viruses deploy these factors for interfering with the vesicle trafficking of the host cell needs to be investigated.
ALBERT-BPF: a book purchase forecast model for university library by using ALBERT for text feature extraction
Authors: Wu Yejun , Wang Xiaxian , Yu Peilin , Huang YongKai 
Published: January 2022

PurposeThe purpose of this research is to achieve automatic and accurate book purchase forecasts for the university libraries and improve efficiency of manual book purchase.Design/methodology/approachThe authors presented a Book Purchase Forecast model with A Lite BERT(ALBERT-BPF) to achieve their goals. First, the authors process all the book data to unify format of books' features, such as ISBN, title, authors, brief introduction and so on. Second, they exploit the book order data to label all books supplied by booksellers with “purchased” or “non-purchased”. The labelled data will be used for model training. Last, the authors regard the book purchase task as a text classification problem and present a model named ALBERT-BPF, which applies ALBERT to extract text features of books and BPF classification layer to forecast purchased books, to solve the problem.FindingsThe application of deep learning in book purchase task is effective. The data the authors exploited are the historical book purchase data from their university library. The authors’ experiments on the data show that ALBERT-BPF can seek out the books that need to be purchased with an accuracy of over 82%. And the highest accuracy reached is 88.06%. These indicate that the deep learning model is sufficient to assist the traditional manual book purchase way.Originality/valueThis research applies ALBERT, which is based on the latest Natural Language Processing (NLP) architecture Transformer, to library book purchase task.
Artificial intelligence in Peer-to-peer lending in India: a cross-case analysis
Authors: Anil Kanwal , Misra Anil 
Published: January 2022

PurposeThis is an original piece of research holding the promise to position itself as a pioneering research to showcase the evolving role of Artificial intelligence (AI) in the Indian peer-to-peer lending (P2P) markets. The research effectively uses the holistic multiple case study design to highlight the phenomenon of how AI as the holy grail of investments is proving to be a game changer for the Indian P2P markets.Design/methodology/approachThe study uses a unique research design and curates six Indian licensed Non-Banking Financial Company (NBFC)-P2P as exemplary cases to cull out unique contextual findings on how AI has penetrated the Indian P2P market and road ahead. The research is based on a total of 18 semi-structured interviews of six NBFC-P2P founders and 12 Fintech and P2P industry experts. These interviews were used as alternate sources of evidence for data triangulation along with within case analysis, cross-case analysis to achieve well-rounded results.FindingsThe findings have been propounded in the form of unique, context specific results achieved with a bouquet of six NBFC-P2P cases and supplemented through triangulation of data done through multiple industry experts. Findings indicate that AI has reached that tipping point in India.Research limitations/implicationsThere is a scope of further refinement of our results with a larger sample size. Therefore future researches could consider conducting a comprehensive study including all existing NBFC-P2Ps in the space.Practical implicationsThe research builds perspective for improving the practice in many ways. It shows the way to the other P2Ps still stuck to manual underwriting and see merit in AI-driven processes. It would guide them to embrace new technology driven business models to enhance customer experience and champion service transformation by making financial processes faster and secure. It also highlights how some of the P2Ps are scaling up and improving their visibility and outreach through strategic partnerships.Social implicationsThe research would assist in creating awareness about the unique P2P sector and AI solutions for individual investors, particularly the “new to credit customers” and “thin file borrowers”. AI led initiatives in the P2P space validate a certain amount of sophistication thereby giving sanctity to the sector and would therefore enforce confidence in the minds of new age investors and borrowers.Originality/valueThis original research unravels avenues for novel and untraversed area in the Indian settings where paucity of extant literature and structured data highlighted a research gap and hence necessitated this study. AI as a form of disruptive innovation offering predictive intelligence to the Indian P2P space and empowering it with process efficiency, cost optimization and client engagement is definitely paving the way for an exponential growth in the Indian Fintech Industry.
Policy-oriented restart of supply and demand after COVID-19: firm-level evidence for China
Authors: Liang Chao , Liu Bai , Chan Hing Kai 
Published: January 2022

PurposeChina is the only major economy in the world that has achieved positive gross domestic product (GDP) growth in 2020. The paper aims to explore the effect of China's public policy restarting supply and consumption after coronavirus disease-2019 (COVID-19).Design/methodology/approachAffected by the epidemic, global economic growth slowed down. Using the stock price data of Chinese A-share listed company, combining natural experiment and event study method, the paper examines the policy effects of work resumption and consumer vouchers.FindingsCompared with demand capacity, the work resumption has a more significant role in promoting the supply industry. Issuing consumer vouchers can effectively promote local demand recovery, and the effect is mainly concentrated in the industries involved in consumption vouchers. At the same time, public management capacity and the income level of residents play an important role in restarting supply and demand.Practical implicationsUnderstanding China's public policies and effects are of positive significance to the restoration of economic development in other countries.Originality/valueThe study contributes to knowledge by empirically examining the effect of China's public policies against the COVID-19 pandemic. The paper also expands the scope of policy-oriented research based on the perspective of supply and demand capacity building.
Parcel lockers vs. home delivery: a model to compare last-mile delivery cost in urban and rural areas
Authors: Seghezzi Arianna , Siragusa Chiara , Mangiaracina Riccardo 
Published: January 2022

PurposeThis paper investigates the economic performances of two business-to-consumer (B2C) e-commerce last-mile delivery options –parcel lockers (PLs) and traditional home delivery (HD) in contexts where e-commerce is still at its early stages. It analyses and compares two different implementation contexts, urban and rural areas.Design/methodology/approachThis study develops an analytical model that estimates delivery costs for both the PL and HD options. The model is applied to two base cases (representative of urban and rural areas in Italy), and sensitivity analyses are subsequently performed on a set of key variables/parameters (i.e. PL density, PL fill rate and PL annual costs). To support the model development and application, interviews with practitioners (Edwardset al., 2011) were performed.FindingsPLs imply lower delivery cost than HD, independently from the implementation area (urban or rural): advantages mainly derive from the higher delivery density and the drastic reduction of failed deliveries. Benefits entailed by PLs are more significant in rural areas due to lower PL investments and annual costs, as well as higher HD costs.Originality/valueThis paper offers insights to both academics and practitioners. On the academic side, it develops a model to compare the delivery cost of PL and HD, which includes the analysis of urban and rural contexts. This could serve as a platform for developing/informing future analytical/optimisation contributions. On the managerial side, it may support practitioners in making decisions about the implementation of PLs and HD, to benchmark their costs and to identify the main variables and parameters at play.
“We sleep 10cm apart so there is no social distancing”: COVID-19 preparedness in a Zimbabwean prison complex
Authors: Mhlanga-Gunda Rosemary , Rusakaniko Simbarashe , Chinyuku Anne Nyararai , Pswarayi Valentine Farai , Robinson Charmaine Sabrina , Kewley Stephanie , Van Hout Marie Claire 
Published: January 2022

Purpose
Prisons in Africa face unprecedented challenges during Coronavirus disease 2019 (COVID-19). In July 2020, the first prison system case of COVID-19 was notified in Zimbabwe. Subsequently, the Zimbabwe Prisons and Correctional Services released their COVID-19 operational plan. The purpose of the study was to assess preparedness, prevention and control of COVID-19 in selected prisons in Zimbabwe.

Design/methodology/approach
A multi-method situation assessment of COVID-19 preparedness was conducted across three Zimbabwean prisons. The World Health Organization checklist to evaluate preparedness, prevention and control of COVID-19 in prisons was administered to frontline health managers. Information garnered was further explored during site observation and in multi-stakeholder key informant interviews with policymakers, prison health directorate, frontline health-care professionals, officers in charge and non-governmental organizations (n = 26); focus group discussions with correctional officers (n = 18); and male/female prisoners (n = 36). Data was triangulated and analyzed using content thematic analysis.

Findings
Outdated infrastructure, severe congestion, interrupted water supply and inadequate hygiene and sanitation were conducive to ill-health and spread of disease. Health professionals had been well-trained regarding COVID-19 disease control measures. COVID-19 awareness among prisoners was generally adequate. There was no routine COVID-19 testing in place, beyond thermo scanning. Access to health care was good, but standards were hindered by inadequate medicines and personnel protective equipment supply. Isolation measures were compromised by accommodation capacity issues. Flow of prison entries constituted a transmission risk. Social distancing was impossible during meals and at night.

Originality/value
This unique situation assessment of Zimbabwean prisons’ preparedness and approach to tackling COVID-19 acknowledges state and prison efforts to protect prisoners and staff, despite infrastructural constraints and inadequate resourcing from government.
Technical trading rules' profitability and dynamic risk premiums of cryptocurrency exchange rates
Authors: Masuku Khumbulani L. , Gopane Thabo J. 
Published: January 2022

PurposeThe study considers time-varying risk premium in investigating the capability of technical analysis (TA) to predict and outperform a buy–hold strategy in Bitcoin exchange rate returns.Design/methodology/approachThe study tests the technical trading rule of fixed moving average (FMA) on daily actual and equilibrium returns of Bitcoin exchange rates. The equilibrium returns are computed using dynamic CAPM in conjunction with a VAR-MGARCH (1, 1) system. The empirical evaluation of the study uses a case study of four Bitcoin exchange rates (BTC/AUD, BTC/EUR, BTC/JPY and BTC/ZAR) for the period 19 June 2010 to 30 October 2020.FindingsThe findings are consistent with related studies in conventional foreign exchange markets that find TA to be profitable, especially in emerging markets. Nevertheless, the consideration of risk premium has the effect of reducing the abnormal returns. Also, further robust tests reveal that Bitcoin returns possess a momentum effect which prompts further study in efficient market hypothesis research.Practical implicationsThe empirical findings of this study should benefit portfolio managers and active investors on the strength of TA to predict returns in a speculative market like the Bitcoin exchange rate market.Originality/valueThe study takes cognisance that cryptocurrency trading is speculative in nature which renders it a good candidate for TA methods. While there are studies that have explored the value of TA in Bitcoin exchange rates, these studies fail to incorporate the effects of time-varying risk premiums, the strength and focus of the current paper.
Toward cooperative competitiveness for community development in Economic Society 5.0
Authors: Wahyuningtyas Ratri , Disastra Ganjar , Rismayani Risris 
Published: January 2022

Purpose
Economic Society 5.0 is the answer to the challenges of the Industrial Revolution 4.0 through the creation of new value from the development of advanced technology that aims to reduce the gap between human and economic problems. Excellent human resources and adequate digital infrastructure are requirements in an Economic Society 5.0. Cooperatives as community economic organizations are players in the Industrial Revolution 4.0. Because of low competitiveness, cooperatives cannot create new and sustainable income streams, particularly digitalization capabilities. This study aims to encourage the competitiveness of cooperatives in the West Java region, Indonesia, in an Economic Society 5.0 by identifying the correlation between digital capabilities, digital orientation, employee resistance, government support, digital innovation and competitiveness.

Design/methodology/approach
This study uses a quantitative method through surveys as data collection techniques by distributing questionnaires to 386 leaders of cooperatives in West Java. Hypothesis testing uses analysis technique of structural equation modeling with partial least squares tool.

Findings
There are five hypotheses that are supported in the proposed model in this study. Digital orientation and government support have a positif and significant effect on digital innovation, in contrary; digital capability and employee resistance do not show any effect. Digital orientation, government support and digital capability also have a positive and significant effect on competitiveness. Meanwhile, employee resistance and digital innovation have no significant effect on competitiveness. Digital innovation was also found not to mediate the relationship between digital orientation, government support, digital capability and employee resistance with competitiveness.

Originality/value
This study provides new insights into the study of cooperatives as community’s economic institutions. This study adds empirical evidence of the factors that influence the competitiveness of cooperative institutions in Indonesia as a driver of the community’s economy. This study also provides practical implications for the development of cooperative competitiveness in developing countries, particularly in Indonesia.
Proposal of design rules for improving the accuracy of selective laser melting (SLM) manufacturing using benchmarks parts
Authors: Giganto Sara , Martínez-Pellitero Susana , Cuesta Eduardo , Zapico Pablo , Barreiro Joaquín 
Published: January 2022

Purpose
Among the different methodologies used for performance control in precision manufacturing, the measurement of metrological test artefacts becomes very important for the characterization, optimization and performance evaluation of additive manufacturing (AM) systems. The purpose of this study is to design and manufacture several benchmark artefacts to evaluate the accuracy of the selective laser melting (SLM) manufacturing process.

Design/methodology/approach
Artefacts consist of different primitive features (planes, cylinders and hemispheres) on sloped planes (0°, 15°, 30°, 45°) and stair-shaped and sloped planes (from 0° to 90°, at 5° intervals), manufactured in 17-4PH stainless steel. The artefacts were measured optically by a structured light scanner to verify the geometric dimensioning and tolerancing of SLM manufacturing.

Findings
The results provide design recommendations for precision SLM manufacturing of 17-4PH parts. Regarding geometrical accuracy, it is recommended to avoid surfaces with 45° negative slopes or higher. On the other hand, the material shrinkage effect can be compensated by resizing features according to X and Y direction.

Originality/value
No previous work has been found that evaluates accuracy when printing inwards (pockets) and outwards (pads) geometries at different manufacturing angles using SLM. The proposed artefacts can be used to determine the manufacturing accuracy of different AM systems by resizing to fit the build envelope of the system to evaluate. Analysis of manufactured benchmark artefacts allows to determine rules for the most suitable design of the desired parts.
The impact of supply chain finance on corporate social responsibility and creating shared value: a case from the emerging economy
Authors: Chen Xiangfeng , Wang Chenyu , Li Shuting 
Published: January 2022

PurposeAgriculture and cultivation firms are facing severe competition in the saturated market. Due to the characteristics of heavy assets, low investment return, long cycle and high price fluctuation, agri-food firms require innovations for capital support. The purpose of this paper is to provide valuable insights on how firms in the food/agricultural industry approach innovations and reinforce their advantages through functional and structural innovations by adopting supply chain finance (SCF).Design/methodology/approachThis research adopts a single-case study methodology to investigate the innovations and mechanisms taking place at H Corp Agriculture Group (H Corp hereafter), a Chinese egg company.FindingsThe findings of this paper indicate that SCF could have a great impact on supply chain management through functional and structural innovations throughout the supply chain and solve the capital constraint problems in the agricultural development process, promoting the implementation of the integration strategy as well as innovation in the agricultural industry chain. The research also shows that supply chain structural and functional innovations could promote corporate social responsibility (CSR) and creating shared value (CSV).Research limitations/implicationsThe research contributes to the application of SCF mechanisms and the realization of CSV and CSR jointly – both in the literature and in firms’ practices. It also contributes to the extension of structural and functional innovations and vertical integration of the supply chain. However, generalizability and universality are insufficient for a single case study in the specified industry. Data collection and quantitative analysis could be extended for further research.Originality/valueThe study addresses the need for comprehensive research on SCF and its applications. It proposes effective and efficient strategies for agri-food firms applying SCF to overcome industry capital constraints and develop competitiveness. It also provides a balanced and positive circulation between economic value and social value, realizing CSR and CSV.