bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building wellness performance and work engagement
Authors: Ukai Masanari , Chimoto Yuto , Murakami Takuya , Suzuki Yuya , Tanabe Shin‐ichi 
Published: September 2022

AbstractThe aim of this study was to evaluate the effect of building wellness performance on the productivity of office workers. In six offices with different CASBEE Wellness Office (CASBEE‐WO) scores, a questionnaire survey on indoor environment satisfaction, work efficiency, CASBEE Office Health Checklist (CASBEE‐OHC) simplified version, and work engagement was conducted. The results revealed that most workers in offices with high wellness performance reported more satisfaction with the thermal, light, sound, and air quality environments. In addition, the overall indoor environment improved the work efficiency of workers. Moreover, workers in offices with high CASBEE‐WO scores tended to have high CASBEE‐OHC simplified version scores. In the offices with high CASBEE‐WO scores, the top 20% of workers with high work engagement tended to have higher CASBEE‐OHC simplified version scores than the remaining 80%. According to the “80/20 law,” most outcomes of a group depend on the top 20% of productive workers. Thus, considering the wellness performance of the office, it may be possible that the productivity of workers with high work engagement will be improved.
Development and performance evaluation of a micro anaerobic digestion system for household use
Authors: Okaze Tsubasa , Tada Chika 
Published: September 2022

AbstractCurrently, sustainable societies require a reduction in general and food waste discharge, which is a major environmental problem. As food waste contains a high moisture content, anaerobic digestion is an effective way to recycle food waste that contains large amounts of moisture. While 70% of industrial food waste is recycled, only approximately 20% of household waste is recycled in Japan. In this study, we developed a micro anaerobic digestion system with a capacity of 30 L and evaluated its basic performance by simulating a daily use situation. Biogas was produced, containing the same amount of methane as other systems. Although no mixing in the fermenter was done, the production efficiency of methane reached approximately at least 60% of the theoretical value of methane gas production for the chemical oxygen demand of the input food waste.
Stochastic nature of occupants' behavior toward air‐conditioning operation in residential buildings
Authors: Fukami Ryosuke , Hagishima Aya , Tanimoto Jun , Ikegaya Naoki 
Published: September 2022

AbstractOccupants' behaviors (OBs) toward air conditioning (AC) usage in residential buildings have a strong influence on diverse time patterns of load profiles; thus, various stochastic OB modeling has been proposed. However, the validity of such models has not been fully assessed with metered data, particularly for modeling AC switching‐off actions. In this study, the AC operation behavior of 20 dwellings in Japan was observed during the summer. The occurrence of AC‐use events identified from the measured data was analyzed in relation to the time slot of an event, thermal conditions, and frequency of AC usage in each dwelling. The results exhibited a difference between switch‐on and switch‐off actions; the former is primarily dominated by indoor temperature because of thermal adaptation behavior, while the latter is more habitual. Based on this analysis, this study proposed a revised algorithm to synthesize AC operation schedules, which expresses the switch‐off action as the probability of the duration of an AC‐use event rather than a state transition probability function. The proposed algorithm can be incorporated into dynamic building energy simulations. The validity of the revised algorithm was also demonstrated through comparison with the measured data.
Unraveling the Effect of Intrinsic Carbon Defects on Potassium Storage Performance
Authors: Yuan Fei , Shi Conghao , Li Qiaoli , Wang Jian , Zhang Di , Wang Qiujun , Wang Huan , Li Zhaojin , Wang Wei , Wang Bo 
Published: September 2022

AbstractDefects engineering is an attractive strategy to improve the potassium storage performance of carbon anodes. The current studies mainly focus on the introduction of external defects via heteroatom doping, however, the exploration on the effect of intrinsic defects caused by the loss of atoms or distortion in the crystal lattice on potassium storage is still lacking to date. Hence, a series of carbon materials with different intrinsic defect levels are developed via a soft‐template assisted method. It is found that intrinsic defects content in carbon is synergistically determined by the application of template and pyrolysis temperature, and a higher defects content is more likely to expose enormous edge active sites. This greatly promotes K‐adsorption storage during surface‐induced capacitive process, and therefore a strong positive correlation between capacity/capacity retention and intrinsic defects content is confirmed. As a result, the electrode with maximum defects content realizes a good capacity and a rate capability with long cycle lifespan (225.9 mAh g−1 at 2 A g−1 over 2000 cycles). This study offers an insight into the role of intrinsic defects of carbon materials in potassium storage performance.
Farm to fork strategy: Animal welfare, EU trade policy, and public participation
Authors: Molitorisová Alexandra , Burke Ciarán 
Published: September 2022

AbstractThis article presents an analysis of the Farm to Fork Strategy (F2F Strategy) on animal welfare matters though the lens of EU trade policy and public participation. It shows that the mix of cooperation tools contained in bilateral agreements with trade components support in aggregate the Strategy's actions on animal welfare. However, individual bilateral agreements may need to be renegotiated and modernised to include more powerful cooperation tools to achieve sustainable food systems through the adoption and implementation of animal welfare standards. One way of achieving this is to negotiate the inclusion of sustainable food systems chapters that highlight the linkages between animal welfare, agriculture, sustainability, climate, environment, and public health. However, such robust chapters should be monitored and enforced in a correspondingly robust manner, for example, by restructuring chapters' committees and work groups. The article concludes that enhanced public participation, both at the level of legislative proposals (public consultations) and at the level of trade policy (domestic advisory groups, standardisation committees), may better support achieving policy objectves of animal welfare measures of the F2F Strategy.
Pigmentary keratitis and mixed chromatophoroma in a betta fish (Betta splendens)
Authors: McLaughlin Alicia , Emanuele Ashley , Hadfield Catherine , Snekvik Kevin 
Published: September 2022

AbstractBetta fish (Betta splendens) are common pets selectively bred for many different anatomic morphologies and colourations. Fish fanciers on hobbyist forums have linked certain phenotypic traits to the development of eye disease and neoplasia in this species. An 8‐month‐old male giant koi dragonscale plakat betta fish presented for ocular abnormalities and a mass on the tail. Clinical signs continued to progress, and the patient was euthanized due to declining quality of life 10 weeks after initial presentation. Pigmentary keratitis, anterior uveitis, and a mixed chromatophoroma were identified histologically. A review of the anecdotal and available scientific literature revealed that both the neoplastic disease and ocular disease may have had a genetic cause in this particular colour morph. Genetic disease should remain a differential for the cause of ocular and skin pathology in bettas. Combining genetic lines of fish may result in the development of multiple health problems, and ethical fish breeders should select away from characteristics that decrease lifespan and affect quality of life.
Individual risk prediction: Comparing random forests with Cox proportional‐hazards model by a simulation study
Authors: Baralou Valia , Kalpourtzi Natasa , Touloumi Giota 
Published: September 2022

AbstractWith big data becoming widely available in healthcare, machine learning algorithms such as random forest (RF) that ignores time‐to‐event information and random survival forest (RSF) that handles right‐censored data are used for individual risk prediction alternatively to the Cox proportional hazards (Cox‐PH) model. We aimed to systematically compare RF and RSF with Cox‐PH. RSF with three split criteria [log‐rank (RSF‐LR), log‐rank score (RSF‐LRS), maximally selected rank statistics (RSF‐MSR)]; RF, Cox‐PH, and Cox‐PH with splines (Cox‐S) were evaluated through a simulation study based on real data. One hundred eighty scenarios were investigated assuming different associations between the predictors and the outcome (linear/linear and interactions/nonlinear/nonlinear and interactions), training sample sizes (500/1000/5000), censoring rates (50%/75%/93%), hazard functions (increasing/decreasing/constant), and number of predictors (seven, 15 including noise variables). Methods' performance was evaluated with time‐dependent area under curve and integrated Brier score. In all scenarios, RF had the worst performance. In scenarios with a low number of events (⩽70), Cox‐PH was at least noninferior to RSF, whereas under linearity assumption it outperformed RSF. Under the presence of interactions, RSF performed better than Cox‐PH as the number of events increased whereas Cox‐S reached at least similar performance with RSF under nonlinear effects. RSF‐LRS performed slightly worse than RSF‐LR and RSF‐MSR when including noise variables and interaction effects. When applied to real data, models incorporating survival time performed better. Although RSF algorithms are a promising alternative to conventional Cox‐PH as data complexity increases, they require a higher number of events for training. In time‐to‐event analysis, algorithms that consider survival time should be used.
Solving the luxury fashion and sustainable development “oxymoron”: A cross‐cultural analysis of green luxury consumption enablers and disablers
Authors: Carranza Rocío , Zollo Lamberto , Díaz Estrella , Faraoni Monica 
Published: September 2022

AbstractGreen luxury is a promising stream in the environmental marketing and sustainable development literature. Yet, scholars are still investigating why green consumers show a positive attitude toward ethical consumption but then act inconsistently by preferring conventional products due to price or quality criteria, especially in the luxury sector. Building on Heider's balance theory, this study investigates the underlying mechanisms of green luxury consumption focusing on how consumers' psychological imbalance fosters their attitude–behavior gap. The authors used partial least squares structural equation modeling to assess the green enablers and disablers predicting consumers' purchase intention. Multigroup analysis is performed on a cross‐cultural sample of 792 luxury consumers belonging to collectivistic (China) and individualistic (Italy) cultures. Moderation analysis shows how consumers' self‐enhancement and self‐transcendence impact the relationships between green enablers, disablers, and attitudes toward green luxury. An importance‐performance map analysis is conducted to identify which aspects are most important in explaining consumers' intentions to purchase green luxury products.
Prevalence and adverse outcomes of frailty in older patients with acute myocardial infarction after percutaneous coronary interventions: A systematic review and meta‐analysis
Authors: Yu Qian , Guo Dawei , Peng Jianan , Wu Qifei , Yao Yonghuan , Ding Mei , Wang Jiang 
Published: September 2022

AbstractBackgroundThe association between frailty and older patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) is unclear. Therefore, we conducted a systematic review and meta‐analysis to investigate the prevalence of frailty in older patients with AMI following PCI, and determine the relationship between frailty and adverse outcomes in these patients.HypothesisOlder patients with AMI have a higher prevalence of frailty after PCI, and the frailty in these patients increases the risk of adverse outcomes.MethodsA comprehensive search of the PubMed, Cochrane, Ovid (Medline), Ovid (Embase), and Web of Science databases was performed for articles published until October 2021. A meta‐analysis was performed using stata12.0 software. A random‐effects model was used when I2 was greater than 50%; otherwise, a fixed‐effects model was used.ResultsThere were a total of 274,976 older patients in the included studies. Nine studies investigated the prevalence of frailty in older patients with AMI after PCI, with an overall prevalence of 39% (95% confidence interval [CI]: 18%–60%, p < .001). Six studies included adverse outcomes of frailty in older patients with AMI after PCI, including all‐cause mortality (hazard ratio [HR] = 2.29, 95% CI: 1.65–3.16, p = .285), rehospitalization (HR = 2.53, 95% CI: 1.38–4.63), and in‐hospital major bleeding (HR = 1.93, 95% CI: 1.29–2.90, p = .825).ConclusionThe frailty prevalence is increased in older patients with AMI after PCI, especially in ST‐segment elevation myocardial infarction (STEMI). AMI with frailty after PCI is more likely to be associated with worse clinical outcomes, such as death, bleeding, and rehospitalization.
GluN2A‐Selective NMDA Receptor Antagonists: Mimicking the U‐Shaped Bioactive Conformation of TCN‐201 by a [2.2]Paracyclophane System
Authors: Steigerwald Ruben , Chou Tsung‐Han , Furukawa Hiro , Wünsch Bernhard 
Published: September 2022

AbstractUnder physiological conditions, N‐Methyl‐D‐Aspartate (NMDA) receptors play a crucial role for synaptic plasticity, long‐term potentiation and long‐term depression. However, overactivation of NMDA receptors can result in excitotoxicity, which is associated with various neurological and neurodegenerative diseases. The physiological properties of NMDA receptors are strongly dependent on the GluN2 subunit incorporated into the heterotetrameric NMDA receptor. Therefore, subtype selective NMDA receptor modulators are of high interest. Since prototypical GluN2A‐NMDA receptor antagonists TCN‐201 and its MPX‐analogs adopt a U‐shaped conformation within the binding pocket, paracyclophanes were designed containing the phenyl rings in an already parallel orientation. Docking studies of the designed paracyclophanes show a similar binding pose as TCN‐201. [2.2]Paracyclophanes with a benzoate or benzamide side chain were prepared in four‐step synthesis, respectively, starting with a radical bromination in benzylic 1‐position of [2.2]paracyclophane. In two‐electrode voltage clamp experiments using Xenopus laevis oocytes transfected with cRNAs for the GluN1‐4a and GluN2A subunits, the esters and amides (conc. 10 μM) did not show considerable inhibition of ion flux. It can be concluded that the GluN2A‐NMDA receptor does not accept ligands with a paracyclophane scaffold functionalized in benzylic 1‐position, although docking studies had revealed promising binding poses for benzoic acid esters and benzamides.
Sustainable Protein‐Based Binder for Lithium‐Sulfur Cathodes Processed by a Solvent‐Free Dry‐Coating Method
Authors: Schmidt Florian , Kirchhoff Sebastian , Jägle Karin , De Ankita , Ehrling Sebastian , Härtel Paul , Dörfler Susanne , Abendroth Thomas , Schumm Benjamin , Althues Holger , Kaskel Stefan 
Published: September 2022

AbstractIn the market for next‐generation energy storage, lithium‐sulfur (Li−S) technology is one of the most promising candidates due to its high theoretical specific energy and cost‐efficient ubiquitous active materials. In this study, this cell system was combined with a cost‐efficient sustainable solvent‐free electrode dry‐coating process (DRYtraec®). So far, this process has been only feasible with polytetrafluoroethylene (PTFE)‐based binders. To increase the sustainability of electrode processing and to decrease the undesired fluorine content of Li−S batteries, a renewable, biodegradable, and fluorine‐free polypeptide was employed as a binder for solvent‐free electrode manufacturing. The yielded sulfur/carbon dry‐film cathodes were electrochemically evaluated under lean electrolyte conditions at coin and pouch cell level, using the state‐of‐the‐art 1,2‐dimethoxyethane/1,3‐dioxolane electrolyte (DME/DOL) as well as the sparingly polysulfide‐solvating electrolytes hexylmethylether (HME)/DOL and tetramethylene sulfone/1,1,2,2‐tetrafluoroethyl‐2,2,3,3‐tetrafluoropropyl ether (TMS/TTE). These results demonstrated that the PTFE binder can be replaced by the biodegradable sericin as the cycle stability and performance of the cathodes was retained.
Intelligent passenger demand prediction‐based rerouting for comfort perception in public bus transport systems
Authors: Nayak Archana M. , Chaubey Nirbhay Kumar 
Published: September 2022

SummaryPredicting the passenger count and rerouting the busses for the demanding routes to reduce the waiting time of passengers is considered the major challenge in the modern public transportation system. Meanwhile, the transportation sector has been revolutionized in recent years due to big data. In this proposed method, the deep learning and fuzzy logic concept is introduced to face such challenges. In this proposed method, the deep attributes extraction and prediction of passenger demand are accomplished using a deep sailfish network (DSFN). Then, the rerouting concept for demanding routes is carried out using the fuzzy logic‐based rerouting process, which reduces the waiting time of passengers. This prediction‐based rerouting framework enhances the efficiency of bus scheduling by satisfying the passenger demand is performed. It increases the quality of transportation with greater comfort for passengers. Meanwhile, the usage of public transportation is also getting increases. Four different routes from Gujarat (India) are considered in this work analysis, they are Railway station terminal (RAST), Sahara Darwaja (SAHD), Katargam Darwaja BRT (KADB), Udhana Darwaja BRTS, and Adajan GSRTC (ADGS). The proposed approach is implemented with Matlab, and the performance is evaluated using standard metrics such as mean absolute percentage error (MAPE) and root mean square error (RMSE). The experimental results prove that the suggested method provides prediction results with high accurate values than other existing methods in terms of MAPE and RMSE.
Contention avoidance scheme using machine learning inspired deflection routing approach in optical burst switched network
Authors: Singh Shamandeep , Singh Simranjit , Kaur Bikrampal , Singh Amritpal 
Published: September 2022

SummaryOptical transport has emerged as a candidate solution to cope with the rising data transmission challenges of enormously evolving data. In the bufferless environment, only the ingress node beholds the buffering to speed up the data transfer in the form of data bursts. However, such networks are prone to data contention issues that degrade the overall performance and eventually result in burst loss. The paper proposes a machine learning (ML) inspired deflection routing (DR) algorithm to overcome contention issues in optical burst switching (OBS) network. The contending burst is first evaluated and assigned the priority order as per the available bits. Based on the burst traffic analysis, support vector machine (SVM) kernels are trained to select an alternate route and redirected the bursts to a new output node. It has been observed that for 65% of cases, radial basis function (RBF) kernel demonstrated the best results among the three kernel functions. The work further shows that ML offers a wiser decision to avoid and overcome contention in the deflection of the route of the contenting bursts. Moreover, the proposed DR scheme has achieved the highest throughput and packet delivery ratio (PDR) with an average delay of 9.66 s using an OBS network deployed with 10 groups of nodes. When compared against the contention scenario and the existing work, the proposed DR outperformed the existing technique with a 4% to 11% margin.
Transformer rail‐tapped buck‐boost converter design‐based feedback controller for battery charging systems
Authors: Dagal Idriss , Akın Burak 
Published: September 2022

AbstractIn this article, a transformer rail‐tapped buck‐boost converter (TRT‐BBC) with minor loss of power transfer from a photovoltaic solar panel to a lead‐acid battery for battery charging systems is designed. The TRT‐BBC has been utilized to inter‐match the PV direct power to the battery. The 24‐V lead acid battery bank with a storage energy of approximately 168 Wh is designed. The photovoltaic solar panel of 200 W maximum power is used for the whole system operation. The proposed TRT‐BBC topology solves the conventional buck‐boost converter inverted output problem with apex conversion efficiencies of 93.25% and 91.97% for continuous current mode (CCM) and discontinuous current mode (DCM) respectively at standard test conditions (STC) and full load conditions. The whole system can operate either in DCM or CCM according to the needs at a switching frequency of 100 kHz and the maximum power point tracking (MPPT) with proportional integration (PI) based constant voltage‐constant current (CV‐CC) feedback control loop used to monitor the switching duty cycle of the TRT‐BBC.
The combined effect of fish oil containing Omega‐3 fatty acids and Lactobacillus plantarum on colorectal cancer
Authors: Sharifi Elahe , Yazdani Zahra , Najafi Mojtaba , Hosseini‐khah Zahra , Jafarpour Ali , Rafiei Alireza 
Published: September 2022

AbstractColorectal cancer (CRC) is one of the deadliest malignancies. Recent attempts have indicated the role of diet in the etiology of CRC. Natural dietary compounds such as probiotics and Omega‐3 fatty acids that act synergistically can be beneficial in finding a tremendous solution against CRC. To date, the combined effect of fish oil containing Omega‐3 fatty acids (Omega‐3) and Lactobacillus plantarum (L. plantarum) on CRC has been left behind. We here evaluated the effects of co‐encapsulation of Omega‐3 and probiotic bacteria on CRC cell lines compared to normal cells. Omega‐3 and L. plantarum bacteria were co‐encapsulated in three ways, including gelatin–gum Arabic, gelatin–chitosan, and chitosan–gum Arabic complex coacervate microcapsules. After treatment of cells (Normal [L929] and colorectal [C26]) by L. plantarum, Omega‐3, and microcapsules, viability and growth capacity of cell lines were measured using the MTT (3‐[4, 5‐dimethylthiazol‐2‐yl]‐2, 5‐diphenyltetrazolium bromide) assay. Isolated total RNA was used to evaluate the expression profile of BCL2‐associated X protein (BAX), B‐cell lymphoma 2 (BCL‐2), and Caspase‐3 (CASP3) genes by real‐time polymerase chain reaction (PCR). Statistical analysis was performed with SPSS 25 software. A value of p < .05 was considered statistically significant. The results indicated a significant reduction in cell viability of C26 in a concentration‐dependent manner in the treated cells with all treatments, except gelatin–gum Arabic microcapsules. The messenger RNA (mRNA) expression level of the BAX and CASP3 genes in C26 cells being treated with all treatments significantly increased than in untreated cells, and the expression level of the anti‐apoptotic factor of the BCL‐2 gene decreased in C26 cells simultaneously (p < .05). Although, the combined effect of Omega‐3 and L. plantarum and microcapsulated treatments had no more effect on viability and apoptosis gene expression of cancer cells compared to Omega‐3 or L. plantarum. In conclusion, combination therapy with fish oil containing Omega‐3 and L. plantarum does not improve the anticancer effect of each alone.