bluuebunny/crossref_metadata_2025 huggingface dataset:
An In Vivo Inflammatory Loop Potentiates KRAS Blockade
Authors: Arendt Kristina A. M. , Ntaliarda Giannoula , Armenis Vasileios , Kati Danai , Henning Christin , Giotopoulou Georgia A. , Pepe Mario A. A. , Klotz Laura V. , Lamort Anne-Sophie , Hatz Rudolf A. , Kobold Sebastian , Schamberger Andrea C. , Stathopoulos Georgios T.
Published: March 2022

KRAS (KRAS proto-oncogene, GTPase) inhibitors perform less well than other targeted drugs in vitro and fail clinical trials. To investigate a possible reason for this, we treated human and murine tumor cells with KRAS inhibitors deltarasin (targeting phosphodiesterase-δ), cysmethynil (targeting isoprenylcysteine carboxylmethyltransferase), and AA12 (targeting KRASG12C), and silenced/overexpressed mutant KRAS using custom-designed vectors. We showed that KRAS-mutant tumor cells exclusively respond to KRAS blockade in vivo, because the oncogene co-opts host myeloid cells via a C-C-motif chemokine ligand 2 (CCL2)/interleukin-1 beta (IL-1β)-mediated signaling loop for sustained tumorigenicity. Indeed, KRAS-mutant tumors did not respond to deltarasin in C-C motif chemokine receptor 2 (Ccr2) and Il1b gene-deficient mice, but were deltarasin-sensitive in wild-type and Ccr2-deficient mice adoptively transplanted with wild-type murine bone marrow. A KRAS-dependent pro-inflammatory transcriptome was prominent in human cancers with high KRAS mutation prevalence and poor predicted survival. Our findings support that in vitro cellular systems are suboptimal for anti-KRAS drug screens, as these drugs function to suppress interleukin-1 receptor 1 (IL1R1) expression and myeloid IL-1β-delivered pro-growth effects in vivo. Moreover, the findings support that IL-1β blockade might be suitable for therapy for KRAS-mutant cancers.
The Role of Mandatory Building Efficiency Disclosure on Green Building Price Premium: Evidence from Australia
Authors: Lee Chyi Lin , Gumulya Nicholas , Bangura Mustapha
Published: March 2022

Extensive studies have examined the financial performance of green buildings in recent years. The results have frequently observed that the premium of green buildings is time-varying and dependent on the study period and markets being examined. Further, virtually no dedicated study has been devoted to examine the role of mandatory building energy rating disclosure policies on green building price premium. This raises the question of whether the mandatory energy rating disclosure policies would have an influence on the financial performance of green buildings. This study assesses the premium of green buildings by considering the role of mandatory energy efficiency of commercial building disclosure program (CBDP) using the MCSI/IPD NABERS data over 2005–2020. The results of the study showed that, in Australia, buildings with NABERS rating of 4 stars and above delivered a higher total return compared with buildings with lower NABERS ratings. This also supports the Freeman’s (1984) social impact hypothesis in which favorable social performance will ultimately lead to favorable financial performance. In addition, our empirical modelling results also demonstrated the premium of green buildings is stronger since the launch of CBDP, reflecting the importance of mandatory building efficiency disclosure. The policy implications of our studies have also been discussed as buildings play a crucial role in achieving the United Nations Sustainable Development Goals (SDGs), particularly net-zero carbon emissions.
The Cardiac Ryanodine Receptor Provides a Suitable Pathway for the Rapid Transport of Zinc (Zn2+)
Authors: Gaburjakova Jana , Gaburjakova Marta
Published: March 2022

The sarcoplasmic reticulum (SR) in cardiac muscle is suggested to act as a dynamic storage for Zn2+ release and reuptake, albeit it is primarily implicated in the Ca2+ signaling required for the cardiac cycle. A large Ca2+ release from the SR is mediated by the cardiac ryanodine receptor (RYR2), and while this has a prominent conductance for Ca2+ in vivo, it also conducts other divalent cations in vitro. Since Zn2+ and permeant Mg2+ have similar physical properties, we tested if the RYR2 channel also conducts Zn2+. Using the method of planar lipid membranes, we evidenced that the RYR2 channel is permeable to Zn2+ with a considerable conductance of 81.1 ± 2.4 pS, which was significantly lower than the values for Ca2+ (127.5 ± 1.8 pS) and Mg2+ (95.3 ± 1.4 pS), obtained under the same asymmetric conditions. Despite similar physical properties, the intrinsic Zn2+ permeability (PCa/PZn = 2.65 ± 0.19) was found to be ~2.3-fold lower than that of Mg2+ (PCa/PMg = 1.146 ± 0.071). Further, we assessed whether the channel itself could be a direct target of the Zn2+ current, having the Zn2+ finger extended into the cytosolic vestibular portion of the permeation pathway. We attempted to displace Zn2+ from the RYR2 Zn2+ finger to induce its structural defects, which are associated with RYR2 dysfunction. Zn2+ chelators were added to the channel cytosolic side or strongly competing cadmium cations (Cd2+) were allowed to permeate the RYR2 channel. Only the Cd2+ current was able to cause the decay of channel activity, presumably as a result of Zn2+ to Cd2+ replacement. Our findings suggest that the RYR2 channel can provide a suitable pathway for rapid Zn2+ escape from the cardiac SR; thus, the channel may play a role in local and/or global Zn2+ signaling in cardiomyocytes.
Role of the Circadian Clock “Death-Loop” in the DNA Damage Response Underpinning Cancer Treatment Resistance
Authors: Vainshelbaum Ninel Miriam , Salmina Kristine , Gerashchenko Bogdan I. , Lazovska Marija , Zayakin Pawel , Cragg Mark Steven , Pjanova Dace , Erenpreisa Jekaterina
Published: March 2022

Here, we review the role of the circadian clock (CC) in the resistance of cancer cells to genotoxic treatments in relation to whole-genome duplication (WGD) and telomere-length regulation. The CC drives the normal cell cycle, tissue differentiation, and reciprocally regulates telomere elongation. However, it is deregulated in embryonic stem cells (ESCs), the early embryo, and cancer. Here, we review the DNA damage response of cancer cells and a similar impact on the cell cycle to that found in ESCs—overcoming G1/S, adapting DNA damage checkpoints, tolerating DNA damage, coupling telomere erosion to accelerated cell senescence, and favouring transition by mitotic slippage into the ploidy cycle (reversible polyploidy). Polyploidy decelerates the CC. We report an intriguing positive correlation between cancer WGD and the deregulation of the CC assessed by bioinformatics on 11 primary cancer datasets (rho = 0.83; p < 0.01). As previously shown, the cancer cells undergoing mitotic slippage cast off telomere fragments with TERT, restore the telomeres by ALT-recombination, and return their depolyploidised offspring to telomerase-dependent regulation. By reversing this polyploidy and the CC “death loop”, the mitotic cycle and Hayflick limit count are thus again renewed. Our review and proposed mechanism support a life-cycle concept of cancer and highlight the perspective of cancer treatment by differentiation.
Red-Emitting Polymerizable Guanidinium Dyes as Fluorescent Probes in Molecularly Imprinted Polymers for Glyphosate Detection
Authors: Kimani Martha , Pérez-Padilla Víctor , Valderrey Virginia , Gawlitza Kornelia , Rurack Knut
Published: March 2022

The development of methodologies to sense glyphosate has gained momentum due to its toxicological and ecotoxicological effects. In this work, a red-emitting and polymerizable guanidinium benzoxadiazole probe was developed for the fluorescence detection of glyphosate. The interaction of the fluorescent probe and the tetrabutylammonium salt of glyphosate was studied via UV/vis absorption and fluorescence spectroscopy in chloroform and acetonitrile. The selective recognition of glyphosate was achieved by preparing molecularly imprinted polymers, able to discriminate against other common herbicides such as 2,4-dichlorophenoxyacetic acid (2,4-D) and 3,6-dichloro-2-methoxybenzoic acid (dicamba), as thin layers on submicron silica particles. The limits of detection of 4.8 µM and 0.6 µM were obtained for the sensing of glyphosate in chloroform and acetonitrile, respectively. The reported system shows promise for future application in the sensing of glyphosate through further optimization of the dye and the implementation of a biphasic assay with water/organic solvent mixtures for sensing in aqueous environmental samples.
Redirecting Care: Compassionate Management of the Sick or Preterm Neonate at the End of Life
Authors: Wyatt John , Hain Richard
Published: March 2022

The primary moral commitment of medical care has traditionally been based on a belief in the intrinsic value and significance of human life and a desire to protect the most vulnerable from harm. In this respect, the care of newborn infants who are at the border of viability is no different. Despite the intrinsic value of the life of every newborn, all agree that there is no moral duty of doctors to provide every possible treatment where the prognosis is hopeless. Instead, every action and treatment should be orientated towards the best interests of the individual child and towards the minimisation of serious harm. Decisions about the withholding or withdrawal of life-supportive treatment should be made collaboratively between professionals and parents, with discussion starting prior to delivery wherever possible. The goals of neonatal palliative care are to prevent or minimise pain and distressing symptoms and to maximise the opportunity for private, loving interaction between the dying baby and his or her parents and the wider family. Physical contact, gentle stroking, cuddles and tender loving care are of central importance for the dying baby. At the same time, we must provide psychological support for parents and family as they go through the profound and painful life experience of accompanying their baby to death. To enable a baby to die well, pain-free and in the arms of loving parents and carers is not a failure but a triumph of neonatal care.
Parents’ versus Grandparents’ Attitudes about Childhood Vaccination
Authors: Skitarelić Nataša , Vidaić Marija , Skitarelić Neven
Published: March 2022

Background: We investigated and compared practices and attitudes about childhood vaccination between young parents and their parents and identified influences and sources of information in the County of Zadar, Croatia. Methods: This research was conducted in six general practice and paediatric medical clinics. It included 300 volunteers, including 150 younger parents and 150 older grandparents. Information was collected with a survey questionnaire. The survey data were statistically processed. Results: The 300 participants were divided into 2 groups. Most of the respondents were married, employed, had a high school education, and had a good economic status, often with two children and living in the city. Generally, the attitude towards vaccination was positive. Healthcare workers made the most important influence on the decision for vaccination. The younger age group was significantly affected by social networks and the internet and wanted more information. They were afraid of the adjuvants in vaccines. The older respondents held that vaccination must be legally regulated and did not believe the anti-vaccine media headlines. Conclusions: Our respondents had positive attitudes towards childhood vaccination, noticed the benefits of vaccinating children, and held that untreated children represent a risk for the community. They were well informed and satisfied with the collaboration with medical professionals, although the media and social networks had some impact on attitudes.
Comprehensive Pain Management Using Opioids for Children and Adolescents: Still a Wild Goose to Chase?
Authors: Blom Johanna M. C. , Benatti Cristina
Published: March 2022

Children and adolescents treated for acute and chronic pain represent particular vulnerable patients with distinct and unmet medical and psychosocial needs that continue even beyond the complexity of treating the diseases they suffer [...]
Mediators between Positive and Negative Parenting and Child Depressive and Anxious Symptoms: Findings from a Diverse, At-Risk Sample
Authors: Rodriguez Christina M. , Gowda Ferguson Anjali , Gonzalez Samantha
Published: March 2022

Background: Although children’s depressive and anxious symptoms have been broadly construed as internalizing problems, the current study sought to identify factors that may differentially contribute to these two mental health problems in a high-risk sample. Prior research has not adequately tested both depressive versus anxious symptoms simultaneously, nor has it adequately considered the role of negative versus positive parenting simultaneously, thereby neglecting the potential overlap in both sets of constructs. Overlooking such potential statistical overlap obfuscates how factors may differentially contribute to either depressive versus anxious symptoms. Existing research has also focused on lower-risk community samples. Method: The present study investigated whether children’s negative self-concept or maladaptive attributional style mediated the link between both negative and positive parenting in a racially diverse, at-risk sample of 65 primary school-age children recruited from mental health agencies. Results: When tested together, more negative parenting, but not less positive parenting, retained direct effects on both depressive and anxious symptoms. Both negative self-concept and maladaptive attributional style fully mediated the association between less positive parenting and children’s depressive symptoms, whereas positive self-concept, but not attributional style, mediated between less positive parenting and anxious symptoms. Conclusions: The current findings underscore potential differential intervention targets for these two internalizing problems and highlight the need for future research to consider both depressive and anxious symptoms, and related predictors, simultaneously to control for their shared variance.
Relationship between Admission Temperature and Risk of Cerebral Palsy in Infants Admitted to Special Care Unit in a Low Resource Setting: A Retrospective Single-Center Study
Authors: Guadagno Chiara , Cavallin Francesco , Brasili Luca , Maziku Donald Micah , Leluko Dionis Erasto , Azzimonti Gaetano , Putoto Giovanni , Pietravalle Andrea , Trevisanuto Daniele
Published: March 2022

Background: Deviations from normothermia affect early mortality and morbidity, but the impact on neurodevelopment of the survivors is unclear. We aimed to investigate the relationship between neonatal temperature at admission and the risk of cerebral palsy (CP) at one month of age in a low-resource setting. Methods: This retrospective study included all inborn neonates admitted to the Special Care Unit of Tosamaganga Hospital (Tanzania) between 1 January 2019 and 31 December 2020. The neurological examination at one month of age was performed using the Hammersmith method. The relationship between the admission temperature and the risk of CP was investigated using logistic regression models, with temperature modeled as the non-linear term. Results: High/moderate risk of CP was found in 40/119 (33.6%) of the neonates at one month of age. A non-linear relationship between the admission temperature and moderate/high risk of CP at one month of age was found. The lowest probability of moderate/high risk of CP was estimated at admission temperatures of between 35 and 36 °C, with increasing probability when departing from such temperatures. Conclusions: In a low-resource setting, we found a U-shaped relationship between the admission temperature and the risk of CP at one month of life. Expanding the analysis of the follow-up data to 12–24 months of age would be desirable in order to confirm and strengthen such findings.
Quantitative Assessment of Sensory Integration and Balance in Children with Autism Spectrum Disorders: Cross-Sectional Study
Authors: Abdel Ghafar Mohamed A. , Abdelraouf Osama R. , Abdelgalil Abdelgalil A. , Seyam Mohamed K. , Radwan Rafik E. , El-Bagalaty Amira E.
Published: March 2022

Postural stability is dependent on the interpretation of external inputs acquired by sensory information processes, such as visual, vestibular, and proprioceptive systems, in order to accomplish neuromuscular control, balance maintenance, and appropriate motor response. A defect in any of these systems, or in the integration of information given by these systems, might threaten their capacity to maintain balance. Therefore, the purpose of this study was to investigate the sensory integration and balance using the Biodex balance system (BBS) in children with autism spectrum disorder (ASD) during the static posture. Seventy-four children from both sexes, 38 with ASD matched with 36 typically developed (TD) children as a control group, were included in the study. Using the Biodex balance system, the postural sway was evaluated through the modified Clinical Test of Sensory Integration and Balance (m-CTSIB) during quiet standing. In this test, four different situations were considered from standing position: eyes open/firm surface, eyes closed/firm surface, eyes open/foam surface, and eyes closed/foam surface. ASD children showed a significant increase in postural sway under all tested conditions when compared to the TD children group, especially for the conditions in which visual and somatosensory inputs were disrupted (p-value < 0.05). These results provide evidence that postural stability decreased in ASD children. Under static postural challenges, the current study’s findings imply that children diagnosed with ASD have postural control deficiencies, especially for the conditions in which visual and somatosensory input was disrupted. Further research must be conducted to find the best balance training program for ASD cases using the Biodex balance system and considering its impact on motor skills.
The Benefit of Continuous Hydrological Modelling for Drought Hazard Assessment in Small and Coastal Ungauged Basins: A Case Study in Southern Italy
Authors: De Luca Davide Luciano , Apollonio Ciro , Petroselli Andrea
Published: March 2022

Rainfall-runoff modelling in small and ungauged basins represents one of the most common practices in hydrology. However, it remains a challenging task for researchers and practitioners, in particular in a climate change context and in areas subject to drought risk. When discharge observations are not available, empirical or event-based approaches are commonly used. However, these schemes can be affected by several relevant assumptions. In the last years, continuous models have been developed in order to address the major drawbacks of event-based approaches. With this goal in mind, in this work we applied a synthetic rainfall generation model (STORAGE; stochastic rainfall generator), constituting the implementation of a modified version of Neymann-Scott rectangular pulse (NSRP) model, and a continuous rainfall-runoff framework (COSMO4SUB; continuous simulation modelling for small and ungauged basins) specifically designed for ungauged basins within a climate change context. The modeling approach allows one to investigate the drought hazard using specific indicators for rainfall and runoff in a small watershed located in southern Italy. Results show that the investigated area seems to tend to a mild/moderate drought in a future time period of approximately 30 years, with a decrease in seasonal water volumes availability in the range of 15–30%. Finally, our results confirm that the continuous modelling is suitable for rapid and effective design simulations supporting drought hazard assessment.
Corrosion Fatigue Behavior of Twin Wire Arc Sprayed and Machine Hammer Peened ZnAl4 Coatings on S355 J2C + C Substrate
Authors: Milz Michael P. , Wirtz Andreas , Abdulgader Mohamed , Kalenborn Anke , Biermann Dirk , Tillmann Wolfgang , Walther Frank
Published: March 2022

Offshore installations, e.g., offshore wind turbines and pipelines, are exposed to various mechanical loads due to wind or waves and corrosive loads such as seawater or mist. ZnAl-based thermal sprayed coatings, often in conjunction with organic coatings, provide sufficient corrosion protection and are well established for applications in marine environments. In this study, machine hammer peening (MHP) is applied after twin wire arc spraying to improve corrosion fatigue behavior through increased hardness, reduced porosity, and roughness compared to as-sprayed coatings. Mn-alloyed structural steel S355 J2 + C with and without ZnAl4 coating as well as with MHP post-treated ZnAl4 coating were cyclically loaded in 3.5% NaCl solution. MHP leads to a uniform coating thickness with lower porosity and roughness. ZnAl4 coating and MHP post-treatment improved corrosion fatigue behavior in the high cycle fatigue regime with an increase of the stress amplitude, applied to reach a number of cycles 1.2 × 106, up to 115% compared to sandblasted specimens. Corrosive attack of the substrate steel was successfully avoided by using the coating systems. Stress- and microstructure-dependent corrosion fatigue damage mechanisms were evaluated by mechanical and electrochemical measurement techniques.
Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in Prakriti
Authors: Singh Shriti , Agrawal Neeraj Kumar , Singh Girish , Gehlot Sangeeta , Singh Santosh Kumar , Singh Rajesh
Published: March 2022

Type 2 Diabetes Mellitus (T2DM) is a complicated multifactorial illness involving hereditary and external environmental variables. The symptoms typically appear gradually over a number of years without realizing it. This viewpoint is further supported by the Ayurvedic constitution concept (Prakriti). Prakriti explains the biological variability that is observed in different individuals. This study was conducted a retrospective investigation to examine if there was a link between type 2 diabetes and an individual’s constitution based on anthropometric and biochemical characteristics. Physical and mental characteristics and anthropometric and biochemical markers were used to determine reported cases’ prevailing Dosha Prakriti (constitution). Based on biochemical and anthropometric data, significant differences in Prakriti were found between the case (T2DM patients) and control (person without diabetes) groups. The incidence of numerous secondary problems linked with T2DM patients was also evaluated according to their Prakriti types, which revealed a positive relationship. The three primary contributing parameters, such as waist-hip ratio, postprandial blood sugar, and serum creatinine, were correctly classified all person with or without diabetes subjects to 90.6% of the time, whereas the constitution-wise study classified person with diabetes and without diabetes individuals of Pitta and Kapha Prakriti to 94.3% and 90%, respectively. A discriminant function was created to predict a person with diabetes and without diabetes based on these three contributing factors. The primary contributing biochemical parameters discovered by Prakriti in the current study could be used as a biochemical disease diagnostic for predicting type 2 diabetes susceptibility.
What Drives Regional Disparities in Educational Expansion: School Reform, Modernization, or Social Structure?
Authors: Helbig Marcel , Sendzik Norbert
Published: March 2022

The aim of this study is to empirically investigate the reasons for regional disparities in educational expansion in Germany (i.e., rising rates of general university entrance qualification) on the basis of theoretically relevant influencing factors: changes in school policies, changes in social structure, or general social modernization processes. We pay special attention to the legal framework of schools, which has changed at different times in the German states. Our analysis is based on data from the National Educational Panel Study and on a database on the development of schooling regulations in the German states after World War II. For the analysis, we use two-way crossed random-effects models. Our analyses show that the modernization of school structures is only associated with increasing individual opportunities to access higher school education. However, this association disappears when controlling for social structure and cohort sequence. Rather, the educational expansion of the recent decades is characterized by a changed social structure and, in small parts, by general social modernization processes. In light of our findings, we argue that educational policy adapts school structures to societal changes, opens up new opportunities, yet at the same time reproduces and exacerbates educational inequality.
IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm
Authors: Andrijević Nebojša , Urošević Vlada , Arsić Branko , Herceg Dejana , Savić Branko
Published: March 2022

A significant number of recent scientific papers have raised awareness of changes in the biological world of bees, problems with their extinction, and, as a consequence, their impact on humans and the environment. This work relies on precision beekeeping in apiculture and raises the scale of measurement and prediction results using the system we developed, which was designed to cover beehive ecosystem. It is equipped with an IoT modular base station that collects a wide range of parameters from sensors on the hive and a bee counter at the hive entrance. Data are sent to the cloud for storage, analysis, and alarm generation. A time-series forecasting model capable of estimating the volume of bee exits and entrances per hour, which simulates dependence between environmental conditions and bee activity, was devised. The applied mathematical models based on recurrent neural networks exhibited high accuracy. A web application for monitoring and prediction displays parameters, measured values, and predictive and analytical alarms in real time. The predictive component utilizes artificial intelligence by applying advanced analytical methods to find correlation between sensor data and the behavioral patterns of bees, and to raise alarms should it detect deviations. The analytical component raises an alarm when it detects measured values that lie outside of the predetermined safety limits. Comparisons of the experimental data with the model showed that our model represents the observed processes well.
Application and Comparison of Deep Learning Methods to Detect Night-Time Road Surface Conditions for Autonomous Vehicles
Authors: Zhang Hongyi , Sehab Rabia , Azouigui Sheherazade , Boukhnifer Moussa
Published: March 2022

Currently, road surface conditions ahead of autonomous vehicles are not well detected by the existing sensors on those autonomous vehicles. However, driving safety should be ensured for the weather-induced road conditions for day and night. An investigation into deep learning to recognize the road surface conditions in the day is conducted using the collected data from an embedded camera on the front of the vehicles. Deep learning models have only been proven to be successful in the day, but they have not been assessed for night conditions to date. The objective of this work is to propose deep learning models to detect on-line road surface conditions caused by weather ahead of the autonomous vehicles at night with a high accuracy. For this study, different deep learning models, namely traditional CNN, SqueezeNet, VGG, ResNet, and DenseNet models, are applied with performance comparison. Considering the current limitation of existing night-time detection, reflection features of different road surfaces are investigated in this paper. According to the features, night-time databases are collected with and without ambient illumination. These databases are collected from several public videos in order to make the selected models more applicable to more scenes. In addition, selected models are trained based on a collected database. Finally, in the validation, the accuracy of these models to classify dry, wet, and snowy road surface conditions at night can be up to 94%.
A Two-Step Handover Strategy for GEO/LEO Heterogeneous Satellite Networks Based on Multi-Attribute Decision Making
Authors: Zhang Liangyi , Wu Shaohua , Lv Xiyu , Jiao Jian
Published: March 2022

Low Earth Orbit (LEO) satellites can provide high-speed and low-delay services for terrestrial users; however, the rapid movement of LEO satellites and the insufficient size of the LEO constellations incurs the instability of the transmission links. The rapid movement of LEO satellites also leads to frequent handovers. Fortunately, GEO/LEO heterogeneous satellite systems can remedy this shortcoming. As the handover decision strategy which makes the selection among the available satellites will directly impact the performance of GEO/LEO heterogeneous satellite systems, we propose a two-step access and handover decision strategy for heterogeneous satellite networks in this paper. Firstly, a GEO/LEO network selection is carried out based on utility functions that reflect user’s QoS requirements. Then, the multi-attribute decision making (MADM) method is used to select the specific LEO satellite if users select LEO satellite network. We also propose an Importance-TOPSIS scheme to improve the weight setting for handover attributes. Simulation results show that the proposed method can reduce the number of handovers and the forced termination probability of the system, and the overall throughput of the system is also improved.
Characteristics of the Main- and Side-Stream Products of Microwave Assisted Torrefaction of Lignocellulosic Biomass of Different Origination
Authors: Arshanitsa Alexandr , Jashina Lilija , Pals Matiss , Ponomarenko Jevgenija , Akishin Yegor , Zake Maja
Published: March 2022

In this paper, the yields and composition of solid and condensable products that were obtained by microwave-assisted torrefaction of softwood, wheat straw, and peat fuel pellets, defined as main- and side-stream torrefaction products, were studied. The torrefaction process, at temperatures varied in the range of 200–300 °C, was performed using a laboratory-scale torrefactor of original construction. Water-enriched fractions were distilled off from condensable products to isolate tar fractions, the fuel characteristics of which were compared with those of solid fractions. Py-GC/MS/FID, GC/MS/FID, thermal analysis, elemental analysis, and wet chemistry methods were used to characterize the main- and side-stream torrefaction products, with a focus on their valorization according to the biorefinery approach. The simultaneous development of the destruction and condensation processes in lignocarbohydrate complexes during microwave treatment leads to an increase in the relative portion of aromatic compounds in torrefied biomass, increasing the higher heating value (HHV) of the solid fractions. The increase up to 60% of the heat amount that was liberated due to the thermal oxidative conversion of solid fractions vs. that of the non-treated ones was established by DSC tests. The heat that was liberated by the combustion of the tar fractions was much lower than that of solid fractions, which was explained by the composition of tars, influencing their thermal conversion.
Optimal Placement of Renewable Energy Generators Using Grid-Oriented Genetic Algorithm for Loss Reduction and Flexibility Improvement
Authors: Kaushik Ekata , Prakash Vivek , Mahela Om Prakash , Khan Baseem , Abdelaziz Almoataz Y. , Hong Junhee , Geem Zong Woo
Published: March 2022

Optimal planning of renewable energy generator (REG) units helps to meet future power demand with improved flexibility. Hence, this paper proposes a grid-oriented genetic algorithm (GOGA) based on a hybrid combination of a genetic algorithm (GA) and a solution using analytical power flow equations for optimal sizing and placement of REG units in a power system network. The objective of the GOGA is system loss minimization and flexibility improvement. The objective function expresses the system losses as a function of the power generated by different generators, using the Kron equation. A flexibility index (FI) is proposed to evaluate the improvement in the flexibility, based on the voltage deviations and system losses. A power flow run is performed after placement of REGs at various buses of the test system, and system losses are computed, which are considered as chromosome fitness values. The GOGA searches for the lowest value of the fitness function by changing the location of REG units. Crossover, mutation, and replacement operators are used by the GOGA to generate new chromosomes until the optimal solution is obtained in terms of size and location of REGs. A study is performed on a part of the practical transmission network of Rajasthan Rajya Vidyut Prasaran Nigam Ltd. (RVPN), India for the base year 2021 and the projected year 2031. Load forecasting for the 10-year time horizon is computed using a linear fit mathematical model. A cost–benefit analysis is performed, and it is established that the proposed GOGA provides a financially viable solution with improved flexibility. It is established that GOGA ensures high convergence speed and good solution accuracy. Further, the performance of the GOGA is superior compared to a conventional GA.
Research on Carbon Reduction of Residential Buildings in Severe Cold Regions Based on Renovation of Envelopes
Authors: Yang Han , Kikuta Koki , Hayashi Motoya
Published: March 2022

The demand for heating in cold regions drives up carbon emissions every year. In order to achieve China’s carbon neutrality target by 2060, CO2 emissions in the cold regions must be reduced. In this paper, using Design Builder software, a simulation model of residential buildings in severe cold regions was created, and the most appropriate parameter design scheme for carbon emission reduction of residential buildings in severe cold regions was derived by simulating the experimental data of the original parameter design scheme and the changed parameter design scheme, as well as the calculation of carbon dioxide emission reduction rate. In order to make the comparison of the results easier, no change was made in the selection of the changed scheme for the external insulation material, foamed polystyrene panels. The results show that the most suitable parameter scheme for houses in severe cold regions is 85 mm thick foamed polystyrene panels for exterior walls, 200 mm thick foamed polystyrene panels for roofs, and exterior windows should use semi-tempered plastic steel frame and triple glass 6 mm glass + vacuum + 6 mm low-e glass + 12 mm air + 6 mm glass composed of windows. This technique saves 30.32% of energy as compared to the original parameter design approach. The efficiency of energy conservation is 33.03%. The emission reduction effect is significant. The best parametric design plan has a static payback period of 5 years. The best parametric design plan has a discounted payback period of 7 and a net present value of USD 65,413.39. This scheme can provide a great economic return while also increasing the performance of the building.
Impact of the COVID-19 Pandemic on Infectious Diseases in Brazil: A Case Study on Dengue Infections
Authors: Borre Federico , Borri Juliette Ildiko , Cohen Yuval Zoy , Gasparoto Mariana , Gurung Tsewang Bhumchok
Published: March 2022

Brazil is known for being a breeding ground for emerging infectious diseases (EIDs), such as Zika, dengue, and chikungunya. Given that it has been one of the countries most affected by the SARS-CoV-2 pandemic, this article aims to analyze the impact that the COVID-19 pandemic has had on the burden of infectious diseases in Brazil, especially that of dengue. Brazil is a unique territory with a heterogeneous population living in a tropical, wet climate favorable to infectious diseases. In addition, despite being one of the largest emerging economies in the world, the country has been exposed to political instability and a public health system that suffers from large funding shortfalls and a lack of coherent regulation. The findings from this study are multilayered. Firstly, as cases of COVID-19 rose at the start of the pandemic, cases of dengue declined drastically. This may be due, in part, to factors such as seasonal climate and distancing measures. Furthermore, the findings indicate that the diversion of resources away from dengue and other infectious diseases, and mobilization for COVID-19 testing and treatment, likely resulted in a serious underreporting of dengue. While Brazil has incorporated some of the lessons learned from past EID experience in responding to the COVID-19 pandemic, the analysis highlights how the country’s structural problems present pitfalls in the epidemiological fight. It was concluded that in a country such as Brazil, where infectious disease outbreaks are only a matter of time, pandemic preparedness should be prioritized over pandemic response.
Trend Analysis of Coverage Variation in Pinus yunnanensis Franch. Forests under the Influence of Pests and Abiotic Factors
Authors: Liu Mengying , Zhang Zhonghe , Liu Xuelian , Li Mengxue , Shi Lei
Published: March 2022

The Yunnan pine (Pinus yunnanensis Franch.) is one of the primary forest vegetation types in Yunnan Province and has prominent economic value and ecological significance. Monitoring changes in Yunnan pine forests contributes to their health management. The normalized differential vegetation index (NDVI) is an essential indicator for studying regional vegetation change. Landsat images were used to analyze the NDVI changes of Yunnan pine forests in rainy and dry seasons as well as the NDVI changes of Yunnan pine forests from 2009 to 2020. The results showed that the NDVI in Yunnan pine forests showed opposite trends in the rainy and dry seasons, with an increase in the rainy season and a decrease in the dry season. The areas of NDVI decline during the rainy season are mainly located at the edges of the forest area, with very few within the forest area. The main reason for the decline in NDVI within the forest area was pests. From 2009 to 2020, the areas where NDVI increased and decreased were 92.23% and 7.77% of the pine forests, respectively. The decreasing areas were mainly located at the edges of the pine forests, with sporadic distribution within the forest areas. The drought led to a significant decline in NDVI in the forest area in 2010 and 2013. Due to the lack of protective measures, the forest area in Xijiekou Town was severely infested with pests, with complex NDVI changes and strong fluctuations, and areas of severe pest infestation could be detected by NDVI imagery. This study is meaningful for forest protection and explores the potential capability of Landsat imagery for pest detection.
Hygrothermal and Microstructural Investigation of PLA and PLA-Flax Printed Structures
Authors: Belarbi Yassine Elias , Benmahiddine Ferhat , Hamami Ameur El Amine , Guessasma Sofiane , Belhabib Sofiane
Published: March 2022

The aim of this work is to explore the manufacturing of insulation structures using fused filament deposition of biosourced materials. The approach considers printing of Polylactic acid (PLA) and PLA-flax (PF) structures using varied infill density and printing temperatures. Differential Scanning Calorimetry and Thermal Gravimetry analysis are performed to study thermal behaviour of PLA and PF and derive weight content of fibres within PF. Thermal measurements show a strong dependence of thermal conductivity with infill density and slightly improved thermal insulation of PF compared to PLA. Moreover, both PF and PLA show a hydrophobic behaviour unlike conventional green concretes based on hemp or flax. In addition, both scanning electron and optical microscopies show marked morphological changes induced by the laying down process for PF. This latter exhibits a more complex and tortuous microstructure compared to PLA marked by the presence of inter-filament porosity. This work concludes with superior hygrothermal properties of PLA and PF compared to other biosourced materials such as hemp or flax concrete. This work also concludes with the beneficial role of flax fibres that provides better hygrothermal properties to the printed structures as well as on the need to optimize the infill characteristics including density and cell morphology density.
Characterization and Influence of Static In Vitro Digestion on Bioaccessibility of Bioactive Polyphenols from an Olive Leaf Extract
Authors: Duque-Soto Carmen , Quirantes-Piné Rosa , Borrás-Linares Isabel , Segura-Carretero Antonio , Lozano-Sánchez Jesús
Published: March 2022

Olive leaves, one of the most abundant olive production by-products, have shown incredible potential for their characteristic bioactive compound composition, with unique compounds such as the polyphenol oleuropein. In order to evaluate the bioaccessibility of bioactive compounds present in an olive leaf extract, samples were submitted to an in vitro digestion process following INFOGEST protocol, and qualitative and quantitative characterization of the original extract and digestive samples at different times were carried out using HPLC-ESI-TOF-MS. The analyzed extract presented an abundance of phenolic compounds, such as secoiridoids, with oleuropein being the main identified compound. The in vitro digestion process showed an effect on the phenolic profile of the extract, with a lower recovery in the gastric phase and an increase at the beginning of the intestinal phase. Most of the studied compounds showed high bioaccessibility at the end of the digestion, with oleuropein, ligstroside, and quercetin-3-O-galactoside being among the ones with higher value. These findings show the potential for future use of olive leaf polyphenols. However, further research is needed in order to evaluate the absorption, delivery, and interaction of these compounds with the colon.
Fruit Juice Spoilage by Alicyclobacillus: Detection and Control Methods—A Comprehensive Review
Authors: Sourri Patra , Tassou Chrysoula C. , Nychas George-John E. , Panagou Efstathios Z.
Published: March 2022

Fruit juices have an important place in humans’ healthy diet. They are considered to be shelf stable products due to their low pH that prevents the growth of most bacteria. However thermo-acidophilic endospore forming bacteria of the genus Alicyclobacillus have the potential to cause spoilage of commercially pasteurized fruit juices. The flat sour type spoilage, with absence of gas production but presence of chemical spoilage compounds (mostly guaiacol) and the ability of Alicyclobacillus spores to survive after pasteurization and germinate under favorable conditions make them a major concern for the fruit juice industry worldwide. Their special characteristics and presence in the fruit juice industry has resulted in the development of many isolation and identification methods based on cell detection (plating methods, ELISA, flow cytometry), nucleic acid analysis (PCR, RAPD-PCR, ERIC-PCR, DGGE-PCR, RT-PCR, RFLP-PCR, IMS-PCR, qPCR, and 16S rRNA sequencing) and measurement of their metabolites (HPLC, GC, GC-MS, GC-O, GC-SPME, Electronic nose, and FTIR). Early detection is a big challenge that can reduce economic loss in the industry while the development of control methods targeting the inactivation of Alicyclobacillus is of paramount importance as well. This review includes a discussion of the various chemical (oxidants, natural compounds of microbial, animal and plant origin), physical (thermal pasteurization), and non-thermal (High Hydrostatic Pressure, High Pressure Homogenization, ultrasound, microwaves, UV-C light, irradiation, ohmic heating and Pulse Electric Field) treatments to control Alicyclobacillus growth in order to ensure the quality and the extended shelf life of fruit juices.
Emission Impacts of Post-Pandemic Travel Behaviour in Intercity Corridors
Authors: Sampaio Carlos , Coelho Margarida C. , Macedo Eloísa , Bandeira Jorge M.
Published: March 2022

COVID-19 pandemic impacted the behaviour of travellers. While worldwide, overall emissions decreased during the lockdown, shared mobility options may be perceived as less safe in a post-pandemic reality, leading to increased emissions due to expanded individual transportation. In particular, intercity trips entail numerous environmental impacts, such as emissions. The main objective of this paper is to assess how intercity corridors’ emissions vary when travel behaviour of the population changes following a pandemic. Based on a macroscopic modelling framework, the methodology consisted of three main phases: data collection, traffic modelling and emission modelling. Different scenarios related to the impact of the pandemic were developed, and their impacts were analysed using several key performance indicators related to CO2 NOx emissions and travel time. Findings suggest that reducing the average number of occupants per vehicle reduces emissions, which do not increase linearly with the number of vehicles. Compared with the baseline scenario (occupancy rate of 1.30), the most extreme scenario (occupancy rate of 1.00) may result in an increase in both CO2 and NOx emissions by approximately 30%. These results highlight the importance of making public transport and carpooling not only safe but also safe as perceived by users.
Investigation of Tsunami Waves in a Wave Flume: Experiment, Theory, Numerical Modeling
Authors: Boshenyatov Boris Vladimirovich
Published: March 2022

To protect the coastal areas of the seas and oceans from the destructive force of tsunami waves, coastal and surface barriers are usually built. However, for high waves, these barriers turn into underwater barriers through which tsunami waves pass practically without losing their energy. In this paper, we study a new principle of suppression of the energy of tsunami waves by underwater barriers. The problems of experimental and numerical modeling of the processes of generation, propagation, and interaction of gravity wave of the tsunami type with underwater barriers are considered. It is shown that, under certain conditions near the underwater barriers, large-scale vortex structures occur that accumulate a significant part of the energy of the incident wave. Here, if the barriers parameter h/(H + A) = 0.84 ÷ 0.85 (h—height of the barriers, A—amplitude of incident wave on a barrier, H—depth of the reservoir), then the vortex structures accumulate up to 50% of the wave energy incident on the barrier. A theoretical model explaining the effect of anomalous vortex suppression of tsunami wave energy by underwater barriers has been developed. Theoretical calculations and results of numerical modeling based on the Navier–Stokes Equations are consistent with experimental studies in a hydrodynamic wave flume.
Probiotics and Phytochemicals: Role on Gut Microbiota and Efficacy on Irritable Bowel Syndrome, Functional Dyspepsia, and Functional Constipation
Authors: Bousdouni Panoraia , Kandyliari Aikaterini , Koutelidakis Antonios E.
Published: March 2022

Functional gastrointestinal disorders (FGIDs), such as irritable bowel syndrome, functional constipation, and functional dyspepsia, have had a high prevalence over the past few years. Recent evidence suggests that functional foods and bioactive compounds, such as probiotics and phytochemicals, may have a positive effect in treating the symptoms of the above diseases. In this systematic review study, 32 published studies were selected with the use of comprehensive scientific databases, according to PRISMA guidelines, with emphasis on recent interventional studies that reflect the effect of probiotics and selected phytochemicals on the improvement of FGID symptoms. The bioactive compounds in the selected studies were administered to patients either in capsule form or in enriched food products (yogurt, juice, etc.). According to the results, there is a correlation between the consumption of probiotics and phytochemicals, such as polyphenols, and the relief of symptoms in selected gastrointestinal disorders. Enriching foods that are regularly consumed by the population, such as fruit juices, yogurt, and cheese, with ingredients that may have a positive effect on gastrointestinal disorders, could be a possible novel goal for the management of these diseases. However, further evidence is required for the role of probiotics and phytochemicals in FGIDs to be fully understood.