bluuebunny/crossref_metadata_2025_split huggingface dataset:
The force required for the creation of wood cuttings
Authors: Talić Hasan 
Published: December 2021

Abstract
Wood as a material has its own peculiar role during processing due to its characteristics which depend on a number of factors. Therefore, wood-based plate materials tend to encounter the same issues. The creation of the continuous cuttings is conditioned by the strength as it is being cut orthogonally. The cutting force is shown as the sum of the forces for plastic deformation, the force for overcoming the work of the friction force on the front and rear surface of the tool and the force for creating a new surface. Each of the forces is connected to appropriate mechanical features of wood. Examining the mechanical properties of wood, which can be used to calculate the required power to create a new surface, demonstrates the dependence of cutting power on the type of wood, cutting speed, and wood moisture.
Mechanical properties changes in fir wood (abies sp.), linden wood (tilia sp.), and beech wood (fagus sp.) subjected to various thermal modification process conditions
Authors: Hasanagić Redžo , Ganguly Sauradipta , Bajramović Ermin , Hasanagić Adem 
Published: December 2021

Abstract
Wood is one of the most important construction materials in Europe and its use in building applications has increased in the recent decades. To enable even more extensive and reliable use of wood, this article aimed to determine the effect of thermal modification on mechanical properties of fir wood (lat. Abies sp.), linden wood (lat. Tilia sp.), and beech wood (lat. Fagus sp.). The thermal modification was conducted in a laboratory oven at five different temperatures of 170, 180, 195, 210, 220 °C and processed with a different maximum duration of the process of 78, 120, 180, 240, 276 minutes. Mechanical properties of treated wood have shown statistically insignificant fluctuations at lower temperatures compared to control samples. On the other hand, raising the temperature to 210 °C significantly affected the strength of all the species. The results revealed that thermal modification at high temperatures and longer exposure causes a decrease in the maximum force of the three wood species.
Improving Comb Aliasing Rejection Using Sharpening of Modified Comb
Authors: Jovanovic Dolecek Gordana 
Published: December 2021

Abstract
This paper presents an efficient method to improve the comb aliasing rejection in a comb decimation filter without increasing its passband droop. This problem is important since aliasing and comb passband droop may deteriorate the decimated signal. We propose here to apply sharpening of the modified comb in the second stage of a two-stage comb structure. The modified comb is obtained by decreasing the middle coefficient of the impulse response of the cascade of two combs by 1/2. The sharpening polynomial with the first order tangencies is used here. As a result, the comb folding bands, where the aliasing occur, become wider and with an increased attenuation in comparison with the original comb filter. However, this improvement in the folding bands did not result in an increased passband droop. The compensator from literature is used to further decrease passband droop. The method is illustrated with examples and compared with the original comb and the methods proposed in literature for increasing aliasing rejection.
Fire prediction with logistic regression on territory of Bosnia and Herzegovina
Authors: Musabašić Mursel , Mušić Denis , Babović Elmir 
Published: December 2021

Abstract
The Canadian Fire Weather Index system [1] has been used worldwide by many countries as classic approach in fire prediction. It represents system that account for the effects of fuel moisture and weather conditions on fire behaviour. It numerical outputs are based on calculation of four meteorological elements: air temperature, relative humidity, wind speed and precipitation in last 24h. In this paper meteorological data in combination with Canadian Fire Weather Index system (CFWI) components is used as input to predict fire occurrence using logistic regression model. As logistic regression is a supervised machine learning method it’s based on user input in the form of dataset. Dataset is collected using NASA GES DISC Giovanni web-based application in the form of daily area-averaged time series in period of 31.7.2010 to 31.7.2020, it’s analysed and pre-processed before it is used as input for logit model. CFWI components values are not imported but calculated in run-time based on pre-processed meteorological data. As a result of this research windows application was developed to assist fire managers and all those involved in studying the fire behaviour.
Interpolation on the special orthogonal group with high-dimensional Kuramoto model
Authors: Crnkić Aladin , Kapić Zinaid 
Published: December 2021

Abstract
The construction of smooth interpolation trajectories in different non-Euclidean spaces finds application in robotics, computer graphics, and many other engineering fields. This paper proposes a method for generating interpolation trajectories on the special orthogonal group SO(3), called the rotation group. Our method is based on a high-dimensional generalization of the Kuramoto model which is a well-known mathematical description of self-organization in large populations of coupled oscillators. We present the method through several simulations and visualize each simulation as trajectories on unit spheres S2. In addition, we applied our method to the specific problem of object rotation interpolation.
Condition diagnostics of the Stadium “Rođeni” in Mostar
Authors: Džino Jasmina , Trešnjo Faris , Šahinagić-Isović Merima , Kulukčija Salko 
Published: December 2021

Abstract
The paper presents a diagnosis of the condition of the stadium FK Velež “Rođeni” in Mostar, which was built in period 2006-2008 and represents an important facility for the citizens of Mostar. The steps in diagnosing the condition of an existing structure are explained, including a collection of existing documentation, an inspection of the structure, test and calculations, and assessment and decision on further action. Drawings of the stadium were given, visual inspection of the stadium was performed and calculations of the current and future layout of the structure. The calculations were performed in software Tower 8 and with respect to European norms EN0, EN1, EN2, EN3 and EN8. A visual inspection revealed a large number of damages to the stadium, which were classified into specific groups. The mechanisms of destruction and classification were performed using EN 1504.
Developing and validating a Chinese multimorbidity-weighted index for middle-aged and older community-dwelling individuals
Authors: Hu Wei-Hua , Liu Yu-Yang , Yang Cong-Hui , Zhou Tong , Yang Chun , Lai Ying-Si , Liao Jing , Hao Yuan-Tao 
Published: December 2021

Abstract

Objective
To develop and validate an index to quantify the multimorbidity burden in Chinese middle-aged and older community-dwelling individuals.

Methods
We included 20,035 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (CHARLS) and 19,297 individuals aged 65 and older from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Health outcomes of physical functioning (PF), basic and instrumental activities of daily living (ADL and IADL) and mortality were obtained. Based on self-reported disease status, we calculated five commonly used western multimorbidity indexes for CHARLS baseline participants. The one that predicted the health outcomes the best was selected and then modified through a linear mixed model using the repeated individual data in CHARLS. The performance of the modified index was internally and externally evaluated with CHARLS and CLHLS data.

Results
The multimorbidity-weighted index (MWI) performed the best among the five indexes. In the modified Chinese multimorbidity-weighted index (CMWI), the weights of the diseases varied greatly (range 0.2–5.1). The top three diseases with the highest impact were stroke, memory-related diseases and cancer, corresponding to weights of 5.1, 4.3 and 3.4, respectively. Compared with the MWI, the CMWI showed better model fits for PF and IADL with larger R2 and smaller Akaike information criterion, and comparable prediction performances for ADL, IADL and mortality (e.g. the same predictive accuracy of 0.80 for ADL disability).

Conclusion
The CMWI is an adequate index to quantify the multimorbidity burden for Chinese middle-aged and older community-dwelling individuals. It can be directly computed via disease status examined in regular community health check-ups to facilitate health management.
Co-production of Care Leavers’ Transition Planning as Young Adults: An Analysis of Young People in California Foster Care
Authors: Park Sunggeun (Ethan) , Powers Jenna , Okpych Nathanael J , Courtney Mark E 
Published: December 2021

Abstract
The co-production of transition planning (i.e. care leavers having opportunities to influence decisions about their lives) is recognised as an important process internationally. However, little is known about factors influencing care leavers’ involvement in transition planning. This study uses a sample of care leavers in California (n = 423) and multiple data sources, including youth–worker matched data, to investigate predictors of transitional independent living plan (TILP) involvement. The outcome measures the mechanisms care leavers experienced during their TILP process, including worker-driven production (i.e. not aware of or not involved), youth-driven co-production (i.e. involved in and led) and youth–worker co-production (i.e. involved in but did not lead). Multinomial logistic regression was used to examine relationships between predictors measured at age 17 and TILP involvement mechanisms at age 19. Most youth led (44 per cent) or were involved in (43 per cent) TILP planning, but 14 per cent were not aware or uninvolved. Care leavers’ opportunities to influence their TILP were shaped by their individual (e.g. personality and support networks), relational (e.g. caseworker’s perception of youth’s preparedness) and contextual (e.g. regional service availability) factors. Notably, youth served by specialised caseworkers were more likely to experience youth–worker co-production than youth-driven co-production. Implications for practice and research are discussed.
The miR-345-3p/PPP2CA signaling axis promotes proliferation and invasion of breast cancer cells
Authors: Zeng Qian , Jin Fangfang , Qian Husun , Chen Hongling , Wang Yange , Zhang Dian , Wei Yu , Chen Tingmei , Guo Bianqin , Chai Chengsen 
Published: December 2021

Abstract
Breast cancer is the most common malignancy among women worldwide. Functional studies have demonstrated that miRNA dysregulation in many cases of cancer, in which miRNAs act as either oncogenes or tumor suppressor. Here we report that miR-345-3p is generally upregulated in breast cancer tissues and breast cancer cell lines. Overexpression and inhibition of miR-345-3p revealed its capacity in regulating proliferation and invasion of breast cancer cells. Further research identified protein phosphatase 2 catalytic subunit alpha (PPP2CA), a suppressor of AKT phosphorylation, as a candidate target of miR-345-3p. In vitro, miR-345-3p mimics promoted AKT phosphorylation by targeting its negative regulator, PPP2CA. Blocking miR-345-3p relieved its inhibition of PPP2CA, which attenuated PI3K-AKT signaling pathway. In vivo, inhibiting miR-345-3p by miR-345-3p-inhibition lentivirus suppressed tumor growth and invasiveness in mice. Together, the miR-345-3p/PPP2CA signaling axis exhibits tumor-promoting functions by regulating proliferation and invasion of breast cancer cells. These data provide a clue to novel therapeutic approaches for breast cancer.
Transcription factors Bcl11a and Bcl11b are required for the production and differentiation of cortical projection neurons
Authors: Du Heng , Wang Ziwu , Guo Rongliang , Yang Lin , Liu Guoping , Zhang Zhuangzhi , Xu Zhejun , Tian Yu , Yang Zhengang , Li Xiaosu , Chen Bin 
Published: December 2021

Abstract
The generation and differentiation of cortical projection neurons are extensively regulated by interactive programs of transcriptional factors. Here, we report the cooperative functions of transcription factors Bcl11a and Bcl11b in regulating the development of cortical projection neurons. Among the cells derived from the cortical neural stem cells, Bcl11a is expressed in the progenitors and the projection neurons, while Bcl11b expression is restricted to the projection neurons. Using conditional knockout mice, we show that deficiency of Bcl11a leads to reduced proliferation and precocious differentiation of cortical progenitor cells, which is exacerbated when Bcl11b is simultaneously deleted. Besides defective neuronal production, the differentiation of cortical projection neurons is blocked in the absence of both Bcl11a and Bcl11b: Expression of both pan-cortical and subtype-specific genes is reduced or absent; axonal projections to the thalamus, hindbrain, spinal cord, and contralateral cortical hemisphere are reduced or absent. Furthermore, neurogenesis-to-gliogenesis switch is accelerated in the Bcl11a-CKO and Bcl11a/b-DCKO mice. Bcl11a likely regulates neurogenesis through repressing the Nr2f1 expression. These results demonstrate that Bcl11a and Bcl11b jointly play critical roles in the generation and differentiation of cortical projection neurons and in controlling the timing of neurogenesis-to-gliogenesis switch.
Reconstructing rapid natural vision with fMRI-conditional video generative adversarial network
Authors: Wang Chong , Yan Hongmei , Huang Wei , Li Jiyi , Wang Yuting , Fan Yun-Shuang , Sheng Wei , Liu Tao , Li Rong , Chen Huafu 
Published: December 2021

Abstract
Recent functional magnetic resonance imaging (fMRI) studies have made significant progress in reconstructing perceived visual content, which advanced our understanding of the visual mechanism. However, reconstructing dynamic natural vision remains a challenge because of the limitation of the temporal resolution of fMRI. Here, we developed a novel fMRI-conditional video generative adversarial network (f-CVGAN) to reconstruct rapid video stimuli from evoked fMRI responses. In this model, we employed a generator to produce spatiotemporal reconstructions and employed two separate discriminators (spatial and temporal discriminators) for the assessment. We trained and tested the f-CVGAN on two publicly available video-fMRI datasets, and the model produced pixel-level reconstructions of 8 perceived video frames from each fMRI volume. Experimental results showed that the reconstructed videos were fMRI-related and captured important spatial and temporal information of the original stimuli. Moreover, we visualized the cortical importance map and found that the visual cortex is extensively involved in the reconstruction, whereas the low-level visual areas (V1/V2/V3/V4) showed the largest contribution. Our work suggests that slow blood oxygen level-dependent signals describe neural representations of the fast perceptual process that can be decoded in practice.
Direct Methylation for Determination of Fatty Acids in Coffee Samples by GC-FID
Authors: de Fátima Bortolato Piccioli Angélica , Ferreira Cintia Stefhany Ripke , dos Santos Patrícia Daniele Silva , Senes Carlos Eduardo Rubio , Visentainer Jesuí Vergílio , Santos Oscar Oliveira 
Published: December 2021

Abstract
The direct methylation method developed in this work for coffee samples allowed the determination of fatty acids using smaller sample amounts (100 mg), lower solvent volumes (5 mL) and shorter experimental run time (~12 min). Hence, the experiments are more economical and collaborate with green chemistry, besides favoring the health of the analyst who handles a smaller amount of solvents in a short period. Design Expert software was employed to determine the optimal concentration of the acid and base (0.7 e 1.75 molL−1) and evaluate the sonication time (5 min for both procedures). The experiments were carried out on different coffee samples in which the fat content ranging from 10.18% to 14.86%. The relative standard deviation values for intraday and interday were 2.78% and 7.8%, respectively, confirming the good precision of the proposed method for fatty acid derivatization.
Education and Employment Trajectories in NEPS-ADIAB: The Survey Data of the National Educational Panel Study Linked to Administrative Data of the Institute for Employment Research
Authors: Bachbauer Nadine , Wolf Clara , Fuß Daniel 
Published: December 2021

Abstract
NEPS-ADIAB is a large-scale data product from Germany that provides a unique source for the empirical analysis of life course research questions. It is jointly administered by the Institute for Employment Research (IAB) and the Leibniz Institute for Educational Trajectories. NEPS-ADIAB includes survey data from the National Educational Panel Study (NEPS) and administrative data from the IAB, combined at the individual level using a record linkage procedure. While the NEPS data cover issues such as educational trajectories and decisions, competencies and skills, learning environments, attitudes, etc., the administrative data consist of detailed employment histories dating back to 1975, plus extensive information on establishments. The linkage of both data collections results in a considerable research potential. NEPS-ADIAB is particularly suitable for analyses of the nexus between educational and employment careers, short- and long-term returns to education, transitions from school to vocational training and working life, adult education and lifelong learning, as well as discontinuities in professional careers due to parenthood or unemployment. Contextual characteristics about establishments as well as geographic indicators can additionally be taken into account. The regularly updated and expanded NEPS-ADIAB data are accessible to the entire scientific community free of charge via on-site and remote access.
Ethanol yield calculations in biorefineries
Authors: Bermejo Pamela Magalí , Badino Alberto , Zamberlan Luciano , Raghavendran Vijayendran , Basso Thiago Olitta , Gombert Andreas Karoly 
Published: December 2021

ABSTRACTThe ethanol yield on sugar during alcoholic fermentation allows for diverse interpretation in academia and industry. There are several different ways to calculate this parameter, which is the most important one in this industrial bioprocess and the one that should be maximized, as reported by Pereira, Rodrigues, Sonego, Cruz and Badino (A new methodology to calculate the ethanol fermentation efficiency at bench and industrial scales. Ind Eng Chem Res 2018; 57: 16182–91). On the one hand, the various methods currently employed in industry provide dissimilar results, and recent evidence shows that yield has been consistently overestimated in Brazilian sugarcane biorefineries. On the other hand, in academia, researchers often lack information on all the intricate aspects involved in calculating the ethanol yield in industry. Here, we comment on these two aspects, using fuel ethanol production from sugarcane in Brazilian biorefineries as an example, and taking the work of Pereira, Rodrigues, Sonego, Cruz and Badino (A new methodology to calculate the ethanol fermentation efficiency at bench and industrial scales. Ind Eng Chem Res 2018; 57: 16182–91.) as a starting point. Our work is an attempt to demystify some common beliefs and to foster closer interaction between academic and industrial professionals from the fermentation sector. Pereira, Rodrigues, Sonego, Cruz and Badino (A new methodology to calculate the ethanol fermentation efficiency at bench and industrial scales. Ind Eng Chem Res 2018; 57: 16182–91).
CUT&RUN identifies centromeric DNA regions of Rhodotorula toruloides IFO0880
Authors: Schultz J Carl , Cao Mingfeng , Mejia Andrea , Zhao Huimin 
Published: December 2021

ABSTRACT
Rhodotorula toruloides has been increasingly explored as a host for bioproduction of lipids, fatty acid derivatives and terpenoids. Various genetic tools have been developed, but neither a centromere nor an autonomously replicating sequence (ARS), both necessary elements for stable episomal plasmid maintenance, has yet been reported. In this study, cleavage under targets and release using nuclease (CUT&RUN), a method used for genome-wide mapping of DNA–protein interactions, was used to identify R. toruloides IFO0880 genomic regions associated with the centromeric histone H3 protein Cse4, a marker of centromeric DNA. Fifteen putative centromeres ranging from 8 to 19 kb in length were identified and analyzed, and four were tested for, but did not show, ARS activity. These centromeric sequences contained below average GC content, corresponded to transcriptional cold spots, were primarily nonrepetitive and shared some vestigial transposon-related sequences but otherwise did not show significant sequence conservation. Future efforts to identify an ARS in this yeast can utilize these centromeric DNA sequences to improve the stability of episomal plasmids derived from putative ARS elements.
Response of Chinese Tallow (Triadica sebifera) and Coexisting Natives to Competition, Shade, and Flooding
Authors: Ajala Olaniyi O , Kidd Kathryn R , Oswald Brian P , Weng Yuhui , Stovall Jeremy P 
Published: December 2021

Abstract
A greenhouse experiment was designed to determine the interactive effect of light, flooding, and competition on the growth and performance of Chinese tallow (Triadica sebifera [L.] Roxb.) and three tree species native to the southeastern United States: water tupelo (Nyssa aquatica L.), sugarberry (Celtis occidentalis L.), and green ash (Fraxinus pennsylvanica Marshall). The experiment used a factorial design that received two treatments: light (low irradiance or high irradiance) and flood (nonflooded and flooded) regimes. In the nonflooded and high irradiance treatment, changes in the growth (ground diameter, number of leaves, and total biomass) indicated that growth metrics of tallow were highest when growing with sugarberry and water tupelo but decreased when tallow was in competition with green ash. In contrast, competition with tallow reduced the height, net photosynthetic rate, stomatal conductance, and transpiration rate of water tupelo. The results showed that tallow had lower growth metrics when in competition with green ash at no apparent decrease in the growth of green ash except for growth rate. Our results suggest that tallow may be less competitive with certain native species and underplanting may be a possible opportunity for improving the success rates of native tree species establishment in areas prone to tallow invasion.