bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solution proposal for completed preference structure in ORESTE method
Authors: Yerlikaya Mehmet Akif , Yildiz Kürşat , Keskin Büşra Nur 
Published: March 2023

AbstractIn this study, a novel integrated method including CRITIC (Criteria Importance Through Inter-Criteria Correlation) and ORESTE (Organisation, Rangement Et Synth&e De DonnCes Relarionnelles) methods from MCDM (multi-criteria decision making) methods and aiming to solve the problem of inconsistency in the ORESTE method has been proposed. Since the ORESTE method only considers the ordering of alternatives and criteria, a conflict may occur due to the different ordering of each alternative in the criteria. To solve the conflict problem in the second step of the ORESTE method, it is proposed to create the preference density matrix of the alternatives by using the CRITIC weights of the criteria, and to calculate the net flow values with reference to the PROMETHEE II (Preference Ranking Organization Method for Encrichment Evaluations II) method (C-ORESTE III). The CRITIC method is used because the relationship between the criteria is as important as the alternatives in calculating the normalized preference intensities. To test the validity and applicability of the proposed method, an application is made to the logistics center location problem within the scope of green logistics.
An effective technique for developing the graphical polynomials of certain molecular graphs
Authors: Masmali Ibtisam , Nadeem Muhammad , Yousaf Awais , Akbar Ali , Razaq Abdul , Razzaque Asima 
Published: March 2023

AbstractCounting Polynomial is the mathematical function that was initially introduced for application in chemistry in 1936 by G. Polya. Partitioning of graphs can be seen in the coefficients of these mathematical functions, which also reveal the frequency with which these partitions happen. We developed a novel and efficient method for constructing the necessary counting polynomials for a zigzag-edge coronoid formed by the fusion of a Starphene graph and a Kekulenes graph. The study's methods expand our knowledge, and its findings potentially provide insight on the topology of these chemical structures.
Socioeconomic and education-based inequality in suspected developmental delays among Nepalese children: a subnational level assessment
Authors: Acharya Kiran , Rahman Md. Shafiur , Islam Md. Rashedul , Gilmour Stuart , Dhungel Bibha , Parajuli Rajendra P. , Nishimura Tomoko , Senju Atsushi , Tsuchiya Kenji J. 
Published: March 2023

AbstractFailure to meet early childhood developmental milestones leads to difficulty in schooling and social functioning. Evidence on the inequality in the burden of developmental delays across population groups, and identification of potential risk factors for suspected developmental delays (SDD) among younger children, are essential for designing appropriate policies and programs. This study explored the level of socioeconomic and maternal education-based inequality in the prevalence of SDD among Nepalese children at subnational level and identified potential risk factors. Individual-level data from the 2019 Nepal Multiple Indicator Cluster Survey was used to estimate the prevalence of SDD among children aged 3–4 years. Regression-based slope index of inequality (SII) and relative index of inequality were used to measure the magnitude of inequality, in terms of household socioeconomic status (SES) and mother’s education, in the prevalence of SDD. In addition, a multilevel logistic regression model was used to identify potential risk factors for SDD. The national prevalence of SDD was found to be 34.8%, with relatively higher prevalence among children from rural areas (40.0%) and those from Karnali Province (45.0%) followed by Madhesh province (44.2%), and Sudhurpashchim Province (40.1%). The prevalence of SDD was 32 percentage points higher (SII: −0.32) among children from the poorest households compared to their rich counterparts at the national level. At the subnational level, such inequality was found to be highest in Lumbini Province (SII = −0.47) followed by Karnali Province (SII = −0.37), and Bagmati Province (SII = −0.37). The prevalence of SDD was 36 percentage points higher (SII: −0.36) among children whose mother had no formal education compared to children of higher educated mothers. The magnitude of education-based absolute inequality in SDD was highest in Lumbini Province (SII = −0.44). Multilevel logistic regression model identified lower levels of mother’s education, disadvantaged SES and childhood stunting as significant risk factors for SDD. One in each three children in Nepal may experience SDD, with relatively higher prevalence among children from rural areas. Subnational level variation in prevalence, and socioeconomic and education-based inequality in SDD highlight the urgent need for province-specific tailored interventions to promote early childhood development in Nepal.
Classification of monthly tidal envelopes in mixed tide regimes
Authors: Byun Do-Seong , Hart Deirdre E. , Kim Sangil , Ha Jeongmin 
Published: March 2023

AbstractCoastal inundation is increasing globally. Changes in tidal water levels contribute to flood risk alongside rain and sea storm events. Unlike the latter, temporal variations in tides may be predicted and their patterns analyzed many years in advance. This paper explains two novel methods for characterizing monthly scale patterns in tidal water level variation: one simple qualitative method with restricted applicability; and another more complex quantitative method with global applicability to areas characterized by mixed, mainly semidiurnal and mixed, mainly diurnal tide regimes (~ 65% of global oceans). We reveal that in some areas tidal high and low waters are balanced in near symmetrical patterns, while elsewhere tides are skewed towards upper or lower tidal height envelopes. Areas characterized by tidal patterns skewed towards upper envelopes are at heightened risk of extreme event inundations during certain periods each year, event scale risks that will increase with climate changes. Those skewed towards lower tidal envelopes are prone to frequent flooding and are potentially at greater risk of chronic inundation with ongoing mean sea level rise. Our findings and the novel tidal pattern classification approaches offered contribute to understanding the time varying nature of tidal contributions to coastal inundation risks.
Combining bird tracking data with high-resolution thermal mapping to identify microclimate refugia
Authors: Ramos Rita F. , Franco Aldina M. A. , Gilroy James J. , Silva João P. 
Published: March 2023

AbstractElevated temperatures can have a range of fitness impacts, including high metabolic cost of thermoregulation, hence access to microclimate refugia may buffer individuals against exposure to high temperatures. However, studies examining the use of microclimate refugia, remain scarce. We combined high resolution microclimate modelling with GPS tracking data as a novel approach to identify the use and availability of cooler microclimate refugia (sites > 0.5 °C cooler than the surrounding landscape) at the scales experienced by individual animals. 77 little bustards (Tetrax tetrax) were tracked between 2009 and 2019. The 92,685 GPS locations obtained and their surrounding 500 m areas were characterised with hourly temperature and habitat information at 30 m × 30 m and used to determine microclimate refugia availability and use. We found that the semi-natural grassland landscapes used by little bustards have limited availability of cooler microclimate areas—fewer than 30% of the locations. The use of cooler microclimate sites by little bustards increased at higher ambient temperatures, suggesting that individuals actively utilise microclimate refugia in extreme heat conditions. Microclimate refugia availability and use were greater in areas with heterogeneous vegetation cover, and in coastal areas. This study identified the landscape characteristics that provide microclimate opportunities and shelter from extreme heat conditions. Little bustards made greater use of microclimate refugia with increasing temperatures, particularly during the breeding season, when individuals are highly site faithful. This information can help identify areas where populations might be particularly exposed to climate extremes due to a lack of microclimate refugia, and which habitat management measures may buffer populations from expected increased exposure to temperature extremes.
Supply chain logistics with quantum and classical annealing algorithms
Authors: Weinberg Sean J. , Sanches Fabio , Ide Takanori , Kamiya Kazumitzu , Correll Randall 
Published: March 2023

AbstractNoisy intermediate-scale quantum (NISQ) hardware is almost universally incompatible with full-scale optimization problems of practical importance which can have many variables and unwieldy objective functions. As a consequence, there is a growing body of literature that tests quantum algorithms on miniaturized versions of problems that arise in an operations research setting. Rather than taking this approach, we investigate a problem of substantial commercial value, multi-truck vehicle routing for supply chain logistics, at the scale used by a corporation in their operations. Such a problem is too complex to be fully embedded on any near-term quantum hardware or simulator; we avoid confronting this challenge by taking a hybrid workflow approach: we iteratively assign routes for trucks by generating a new binary optimization problem instance one truck at a time. Each instance has $$\sim 2500$$

∼
2500

quadratic binary variables, putting it in a range that is feasible for NISQ quantum computing, especially quantum annealing hardware. We test our methods using simulated annealing and the D-Wave Hybrid solver as a place-holder in wait of quantum hardware developments. After feeding the vehicle routes suggested by these runs into a highly realistic classical supply chain simulation, we find excellent performance for the full supply chain. Our work gives a set of techniques that can be adopted in contexts beyond vehicle routing to apply NISQ devices in a hybrid fashion to large-scale problems of commercial interest.
Shortening the sulfur cell cycle by a green approach for bio-production of extracellular metalloid-sulfide nanoparticles
Authors: Asghari-Paskiabi Farnoush , Imani Mohammad , Rafii-Tabar Hashem , Nojoumi Seyed Ali , Razzaghi-Abyaneh Mehdi 
Published: March 2023

AbstractIn the present study, a new approach was introduced regarding the extracellular synthesis of selenium sulfide micro/nano-particles using Saccharomyces cerevisiae in different ammonium sulfate supplementation and in the presence of sodium selenosulfate precursors (S1) and a blend of selenous acid and sodium sulfite (S2). In S1, only cell supernatant exposed to ammonium sulfate was able to reduce sodium selenosulfate. Whereas, in S2, cell supernatant in both pre-conditions of with or without ammonium sulfate (S2 + or S2−) were able to reduce selenous acid and sodium sulfite. Electron microscopy, also indicated that selenium sulfide NPs were successfully synthesized with average size of 288 and 332 nm for S2 + and S2− in SEM and 268 and 305 nm in TEM. Additionally, elemental mapping by energy-dispersive x-ray analysis confirmed the presence of sulfur/selenium elements in the particles in a proportion of 24.50 and 23.31 for S2− and S2 + , respectively. The mass spectrometry indicated the probability of Se2S2, SeS1.1, Se2, Se, SeS5, SeS3, Se3S5/Se5, Se3/SeS5, Se6, Se4/SeS7, Se2.57S5.43/Se2S2 and Se4S/Se2S6 molecules for S2 + and of Se, Se2, Se3S5/Se5, Se6 and Se4 species for S2−. In FTIR spectra, primary (i.e. 1090–1020 and 1650–1580 cm−1) and secondary (1580–1490 cm−1) amine bands duly confirmed the protein corona around the NPs.
The effect of rope jumping training on the dynamic balance ability and hitting stability among adolescent tennis players
Authors: Shi Zuozheng , Xuan Shu , Deng Yue , Zhang Xinru , Chen Long , Xu Binglong , Lin Bing 
Published: March 2023

AbstractTo discuss the effects of 12 weeks of jump rope training on dynamic balance and stroke stability in junior tennis players. Sixteen junior tennis players at CTN7 level were used as subjects and randomly divided equally into ExG and ConG for 12 weeks of training, 3 times a week. The ExG performed Jump Rope training and Special Preparation Activity (JR + SPA), the ConG performed only Special Preparation Activity (SPA) to ensure that the training intensity was basically the same. The Biodex Balance System (BBS) was applied to examine the participants' dynamic balance ability, including the Limits of Stability (LOS) and the Single Leg Stability Test (SLST), the International Tennis Number (ITN) tests ball striking stability. Experimental data were statistically analyzed using independent samples t test, paired samples t test, and repeated measures ANOVA test. We observed significant (P < 0.05) differences in limits of stability (LOS) before and after the test in subjects in the ExG and significant (P < 0.05) differences in ODC, BDC, RDC, FLDC, BLDC, and BRDC metrics in the ExG, and a 2 (group: ExG, ConG) × 2 (time: 0w, 12w) repeated measures ANOVA was performed and found significant (P < 0.05) differences in LDC, RDC, FLDC, BLDC, BRDC, and LOST (S) indexes interacted significantly (P < 0.01) in single-leg stability test (SLST) pre- and post-measures were found in subjects in ExG and in MLSI (L) in ExG (P < 0.05), and 2 (group: ExG, ConG) × 2 (time: 0w, 12w) repeated measures ANOVAs were performed and found that OSI (L), MLSI (L), OSI (R), MLSI (R) interaction on indicators was significant (P < 0.05). The difference in hitting stability between subjects in ExG was significant (P < 0.01) at the pre and post test, while the difference in ConG was significant (P < 0.01) at the pre and post test only on the hitting stability test (depth). 2 (Group: ExG, ConG) × 2 (Time: 0w, 12w) repeated measures ANOVA was performed and found a significant interaction between the two (P < 0.01). We suggest to incorporate Forward double-legged alternating jump rope, Reverse double-legged alternating jump rope, Double-legged alternating cross jump rope, Squatting alternating single-legged jump rope into the regular tennis training course with special techniques, which will help the junior tennis players' dynamic balance ability and hitting stability, and can effectively improve the competitive level of junior tennis players.
A comparative analysis of human and AI performance in forensic estimation of physical attributes
Authors: Barrington Sarah , Farid Hany 
Published: March 2023

AbstractHuman errors in criminal investigations have previously led to devastating miscarriages of justice. For example, flaws in forensic identification based on physical or photographic evidence are notoriously unreliable. The criminal justice system has, therefore, started to turn to artificial intelligence (AI) to improve the reliability and fairness of forensic identification. So as not to repeat history, it is critical to evaluate the appropriateness of deploying these new AI forensic tools. We assess the feasibility of measuring basic physical attributes in a photo using a state-of-the-art AI system, and compare performance with human experts and non-experts. Our results raise concerns as to the use of current AI-based forensic identification.
Academic burnout among master and doctoral students during the COVID-19 pandemic
Authors: Andrade Diego , Ribeiro Icaro J. S. , Máté Orsolya 
Published: March 2023

AbstractThe COVID-19 outbreak has had an immense impact on academic life and public health. Graduate students had experienced obligatory curfews and quarantines due to the COVID-19 outbreak directly impacting their mental health and triggering academic burnout. In this cross-sectional study, we address the issue of mental health in graduate students by relating it to the factors associated with burnout syndrome during the COVID-19 pandemic. A total of 519 graduate students from master's and Ph.D./DLA degrees across universities in Hungary and other European countries participated in this study. The Copenhagen burnout inventory student version was used to evaluate burnout syndrome as an outcome. Our findings displayed burnout significantly lower among graduate students who had good sleep quality, receive high levels of support from their university, and were satisfied with how their university dealt with the pandemic. The excessive consumption of alcohol, the use of antidepressants, being single, and thinking about dropping out showed as predictive factors of burnout. The results add to emergent evidence on the impact of the COVID-19 pandemic on mental health and the predicted factors of academic burnout among master and doctoral students.
Prediction of cardiovascular disease risk based on major contributing features
Authors: Peng Mengxiao , Hou Fan , Cheng Zhixiang , Shen Tongtong , Liu Kaixian , Zhao Cai , Zheng Wen 
Published: March 2023

AbstractThe risk of cardiovascular disease (CVD) is a serious health threat to human society worldwide. The use of machine learning methods to predict the risk of CVD is of great relevance to identify high-risk patients and take timely interventions. In this study, we propose the XGBH machine learning model, which is a CVD risk prediction model based on key contributing features. In this paper, the generalisation of the model was enhanced by adding retrospective data of 14,832 Chinese Shanxi CVD patients to the kaggle dataset. The XGBH risk prediction model proposed in this paper was validated to be highly accurate (AUC = 0.81) compared to the baseline risk score (AUC = 0.65), and the accuracy of the model for CVD risk prediction was improved with the inclusion of the conventional biometric BMI variable. To increase the clinical application of the model, a simpler diagnostic model was designed in this paper, which requires only three characteristics from the patient (age, value of systolic blood pressure and whether cholesterol is normal or not) to enable early intervention in the treatment of high-risk patients with a slight reduction in accuracy (AUC = 0.79). Ultimately, a CVD risk score model with few features and high accuracy will be established based on the main contributing features. Of course, further prospective studies, as well as studies with other populations, are needed to assess the actual clinical effectiveness of the XGBH risk prediction model.
Contribution of the leaf and silique photosynthesis to the seeds yield and quality of oilseed rape (Brassica napus L.) in reproductive stage
Authors: Wang Chunli , Yang Jianli , Chen Wenjie , Zhao Xiaoguang , Wang Zhouli 
Published: March 2023

AbstractInfluences of photosynthesis of leaf and silique on seeds yield and quality of oilseed rape (Brassica napus L.) were explored in this study. A field comparing experiment with several rapeseed varieties was conducted and the results showed, that the leaf area index (LAI), silique surface area index (SAI), siliques number per plant, and biological yield were statistically classified as the first principal factors which greatly influenced seeds yield, the leaf net photosynthetic rate (Pn) and silique Pn were the second principal factors; the stomatal conductance (Gs) and chlorophyll a (Chl a) content were the first principal factors which influenced leaf Pn and silique Pn. A shading experiment was conducted and the results showed that, under treatments of the ZH1, ZH2, and ZH3 (shading rapeseed plants during flowering stage, during time from initial flowering until seeds ripening, and during time from flowering ending until seeds ripening, respectively), respectively the seeds yield per plant was reduced by 34.6%, 84.3%, and 86.1%, the seed protein content was significantly increased. The treatment ZH1 Not, but the ZH2 and ZH3 caused significant decrease in both seed oil content and oleic acid (C18:1) content in seed oil, and the contents of linoleic acid (C18:2), linolenic acid (C18:3) in oil were significantly increased, gene expression of the ACCase (Acetyl-CoA carboxylase), FAD2 (fatty acid desaturase), and FAD3 (ω-3 fatty acid dehydrogenase) in green seeds was restrained/changed. Thus the LAI, SAI, siliques number per plant, biological yield per plant, leaf Pn, silique Pn, and the Gs, Chl a content of leaf and silique formed an indexes system to be used in screening rapeseed variety with higher light efficiency and seeds yield; the silique photosynthesis inhibition and the photosynthates deficiency in rapeseed plant after flowering stage predominately influenced seeds yield and quality.
MRI-based long-term follow-up of indolent orbital lymphomas after curative radiotherapy: imaging remission criteria and volumetric regression kinetics
Authors: Hoffmann Christian , Mohr Christopher , Johansson Patricia , Eckstein Anja , Huettmann Andreas , von Tresckow Julia , Göricke Sophia , Deuschl Cornelius , Poettgen Christoph , Gauler Thomas , Guberina Nika , Moliavi Sourour , Bechrakis Nikolaos , Stuschke Martin , Guberina Maja 
Published: March 2023

AbstractWe systematically analyzed the kinetics of tumor regression, the impact of residual lesions on disease control and the applicability of the Lugano classification in follow-up MRI of orbital non-Hodgkin lymphomas that were irradiated with photons. We retrospectively analyzed a total of 154 pre- and post-irradiation MRI datasets of 36 patients with low-grade, Ann-Arbor stage I, orbital non-Hodgkin lymphomas. Patients with restricted conjunctival involvement were excluded. Lymphoma lesions were delineated and volumetrically analyzed on T1-weighted sequences. Tumor residues were present in 91.2% of all cases during the first six months after treatment. Volumetric partial response rates (> 50% volume reduction) were 75%, 69.2%, and 50% at 12–24 months, 36–48 months and > 48 months after the end of treatment. The corresponding complete response (CR) rates according to the Lugano classification were 20%, 23.1% and 50%. During a median clinical follow-up of 37 months no significant differences in progression free survival (PFS) rates were observed between the CR and non-CR group (p = 0.915). A residual tumor volume below 20% of the pretreatment volume should be expected at long-term follow-up beyond one year after radiotherapy.
Effect of grassland cutting frequency, species mixture, wilting and fermentation pattern of grass silages on in vitro methane yield
Authors: Weiby Kim Viggo , Krizsan Sophie J. , Dønnem Ingjerd , Østrem Liv , Eknæs Margrete , Steinshamn Håvard 
Published: March 2023

AbstractMitigating enteric methane (CH4) emissions is crucial as ruminants account for 5% of global greenhouse gas emissions. We hypothesised that less frequent harvesting, use of crops with lower WSC concentration, ensiling at low crop dry matter (DM) and extensive lactic acid fermentation would reduce in vitro CH4 production. Timothy (T), timothy + red clover mixture (T + RC) or perennial ryegrass (RG), cut either two or three times per season, was wilted to 22.5% or 37.5% DM and ensiled with or without formic acid-based additive. Silages were analysed for chemical composition and fermentation products. In vitro CH4 production was measured using an automated gas in vitro system. Methane production was, on average, 2.8 mL/g OM lower in the two-cut system than in the three-cut system (P < 0.001), and 1.9 mL/g OM lower in T than in RG (P < 0.001). Silage DM did not affect CH4 production (P = 0.235), but formic acid increased CH4 production by 1.2 mL/g OM compared to the untreated silage (P = 0.003). In conclusion, less frequent harvesting and extensive silage fermentation reduce in vitro CH4 production, while RG in comparison to T resulted in higher production of CH4.