bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Superior Rice Genotypes and Yield Stability under Different Nitrogen Levels Using AMMI Model and Stability Statistics
Authors: Abdelrahman Mohamed , Alharbi Khadiga , El-Denary Medhat E. , Abd El-Megeed Taher , Naeem El-Sayed , Monir Samah , Al-Shaye Najla A. , Ammar Megahed H. , Attia Kotb , Dora Said A. , Draz Abdel-Salam E.
Published: October 2022

Sustainable agriculture is a prerequisite for food and environmental security. Chemical fertilization, especially nitrogenous fertilization, is considered the most consumed for field crops. In rice crops, plants consume much less than half of the applied N-fertilizer. In the current investigation, multiple N environments were generated by applying different N doses of urea fertilizer to a permanent transplanted field for two successive summer growing seasons at the rice research and training center, Kafrelsheikh, Egypt. A set of 55 genotypes consisting of 25 Jabonica, 4 Tropical Japonica, 20 Indica, and 6 Indica/Japonica were transplanted under no N (0N), Low N (LN), medium N (MN), and High N (HN) (i.e., 0, 48, 96, and 165 Kg N ha−1, respectively). Highly significant differences were detected among the tested genotypes. AMMI analysis of variance revealed the existence of the genotype via nitrogen interaction (GNI) on yield performance. The GNI principal components (IPCA); IPCA1 and IPCA2 scores were significant and contributed values of 71.1 and 21.7%, respectively. The highest-ranked genotypes were MTU1010, IR22, SK2046, SK2058, IR66, and Yabani LuLu based on their grain yield means (30.7, 29.9, 29.5, 29.3, 28.8, and 28.5 g plant−1). These genotypes were grouped into the same subcluster (SCL) according to the stability analysis ranking matrix. Based on AMMI analysis and biplots, MTU1010 and Yabani LuLu showed yield stability across environments. Meanwhile, the which-won-where biplot showed that IR22 was superior under unfavorable N-levels and MTU1010 was stable across the different environments. These findings are considered to be of great importance to breeders for initiating low-nitrogen-input breeding programs for sustainable agriculture.
Biogenic CuO and ZnO Nanoparticles as Nanofertilizers for Sustainable Growth of Amaranthus hybridus
Authors: Francis Dali Vilma , Sood Neeru , Gokhale Trupti
Published: October 2022

The biogenic synthesis of CuO and ZnO nanoparticles (NPs) was carried out by Stenotrophomonas maltophilia. The shape, size, and chemical identity of the CuO and ZnO NPs were determined using FTIR, XRD, SEM, EDX, and TEM analysis. The study aimed to investigate the effects of the CuO and ZnO NPs on Amaranthus hybridus seed germination and plant growth. Two different fertilizer application modes (hydroponics and foliar) were studied with varying concentrations of CuO (0.06 µM, 0.12 µM) and ZnO (0.12 µM, 0.24 µM) nanoparticles with water control and Hoagland’s media control. The hydroponic system of fertilizer application demonstrated better efficiency in terms of plant growth as compared to the foliar application. The agronomic traits, SPAD value, total reducing sugars, antioxidant activity, amount of copper, and zinc ions in root and shoot were analyzed for all experimental plants and found better with the nanoparticle application. The highlight of the study is the application of extremely low concentrations of CuO and ZnO nanoparticles, almost 70% lower than the copper and zinc salts in the Hoagland’s medium for improved plant growth. The use of lower concentrations of nanoparticles can prevent their accumulation in the environment and also lower the production cost. The high antioxidant concentration exhibited by the plants treated with CuO and ZnO nanoparticles ensures the enhanced plant’s resistance to infections and pests while promoting plant growth.
Numerical Optimization of CNT Distribution in Functionally Graded CNT-Reinforced Composite Beams
Authors: Cho J.R. , Kim H.J.
Published: October 2022

This paper is concerned with the numerical optimization of the thickness-wise CNT (carbon nanotube) distribution in functionally graded CNT-reinforced composite (FG-CNTRC) beams to secure the structural safety. The FG-CNTRC in which CNTs are inserted according to the specific thickness-wise distribution pattern are extensively investigated for high-performance engineering applications. The mechanical behaviors of FG-CNTRC structures are definitely affected by the distribution pattern of CNTs through the thickness. Hence, the tailoring of suitable CNT distribution pattern is an essential subject in the design of FG-CNTRC structure for a given boundary and loading conditions. Nevertheless, the thickness-wise CNT distribution pattern has been assumed by several linear functions so that these assumed primitive patterns cannot appropriately respond to arbitrary loading and boundary conditions. In this context, this paper aims to introduce a numerical method for optimally tailoring the CNT distribution pattern of FG-CNTRC beams. As a preliminary stage, the effective stress is defined as the objective function and the layer-wise CNT volume fractions are chosen as the design variables. The exterior penalty-function method and golden section method are adopted for the optimization formulation, together with finite difference scheme for the design sensitivity analysis. The proposed optimization method is illustrated and validated through the benchmark experiments, such that it successfully provides an optimum CNT distribution which can significantly minimize the effective stress, with a stable and rapid convergence in the iterative optimization process.
Phase Behavior of Ion-Containing Polymers in Polar Solvents: Predictions from a Liquid-State Theory with Local Short-Range Interactions
Authors: Wang Yanwei , Qiu Qiyuan , Yedilbayeva Arailym , Kairula Diana , Dai Liang
Published: October 2022

The thermodynamic phase behavior of charged polymers is a crucial property underlying their role in biology and various industrial applications. A complete understanding of the phase behaviors of such polymer solutions remains challenging due to the multi-component nature of the system and the delicate interplay among various factors, including the translational entropy of each component, excluded volume interactions, chain connectivity, electrostatic interactions, and other specific interactions. In this work, the phase behavior of partially charged ion-containing polymers in polar solvents is studied by further developing a liquid-state (LS) theory with local shortrange interactions. This work is based on the LS theory developed for fully-charged polyelectrolyte solutions. Specific interactions between charged groups of the polymer and counterions, between neutral segments of the polymer, and between charged segments of the polymer are incorporated into the LS theory by an extra Helmholtz free energy from the perturbed-chain statistical associating fluid theory (PC-SAFT). The influence of the sequence structure of the partially charged polymer is modeled by the number of connections between bonded segments. The effects of chain length, charge fraction, counterion valency, and specific short-range interactions are explored. A computational App for salt-free polymer solutions is developed and presented, which allows easy computation of the binodal curve and critical point by specifying values for the relevant model parameters.
Effect of Wet Mixing on Properties of Radial-Orientation Basalt Fiber-Reinforced Rubber Compounds
Authors: Yu Benhui , Wang Jing , Wang Kongshuo , Han Deshang , Ren Jianbin , Zhang Dewei , Wang Chuansheng
Published: October 2022

The effects of wet mixing and traditional mixing on the properties of radial-orientation basalt fiber-reinforced rubber products were studied through experiments. The results show that compared with traditional mixing, the basalt fibers under the wet mixing conditions can more effectively enhance the physical and mechanical properties of composites. The properties of the composites, such as carbon black dispersion, filler dispersion, rolling resistance and wet-sliding resistance, were the best after the latex and carbon black were premixed and then mixed by a mixer. Through extrusion experiments with the developed short-fiber radial-orientation die, it can be found that the fluidity of composites after extrusion is enhanced. Through analysis utilizing an electron microscope, it is shown that when the BFs added with KH550 (3-Aminopropyltriethoxysilane) were modified by KH560 ((3-Glycidyloxypropyl)trimethoxysilane), the interface layers of BF (basalt fiber)–KH560–NR and BF–KH550–NR were formed, which improves the adhesion between BFs and the rubber matrix. Qualitative characterization experiments on the orientation direction of the vulcanized composites were carried out through the experiments; that is, the qualitative characterization experiments on the segmented cutting and vulcanization of the composites in the radial direction showed that the short-fiber radial-orientation die could greatly improve the radial orientation degree of the short fibers in the radial direction. After adding KH560, the performance of the composites reinforced by the short fibers was improved to a certain extent compared with those without KH560. By adding DZ (N,N-Dicyclohexyl-2-benzothiazolsulfene amide) and CTP(cytidine triphosphate disodium) into the vulcanization system, the curing process of compounds in mixing and extrusion was delayed and the scorching resistance of short-fiber-reinforced composites was enhanced. Under the same conditions, the properties of the compounds after extrusion were greatly improved compared with those without extrusion.
Bioinspired High-Performance Bilayer, pH-Responsive Hydrogel with Superior Adhesive Property
Authors: Jiang Shulan , Xia Li
Published: October 2022

Soft actuators have attracted extensive attention for promising applications in drug delivery, microfluidic switches, artificial muscles and flexible sensors. However, the performance of pH-responsive hydrogel actuators, such as regarding reversible bending property and adhesive property, remains to be improved. In this study, inspired by drosera leaves, we have fabricated high-performance bilayer, pH-responsive poly(acrylamide-acrylic acid-3-acrylamidophenylboronic acid)(P(AAm-AAc-3-AAPBA)) based on the copolymers of AAm, AAc and 3-AAPBA. The pH-sensitive actuators were fabricated by ultraviolet polymerization of the P(AAm-AAc-3-AAPBA) layer as the active actuating layer and the PAAm layer as the auxiliary actuating layer. The effects of pH, glucose concentration and content of 3-AAPBA on bending behavior of P(AAm-AAc-3-AAPBA)/PAAm bilayer actuators were discussed. By tuning the pH of media, the soft actuator could achieve fast and large-amplitude bidirectional bending behaviors. The bending orientation and bending degree can be reversibly and precisely adjusted. More importantly, P(AAm-AAc-3-AAPBA) hydrogel shows good adhesive property in polyvinyl alcohol (PVA) solution; thus, complex structures have been fabricated. In addition, the bilayer hydrogel structures have been demonstrated as soft actuators, bionic flowers and bionic manipulators. The proposed pH-responsive bilayer actuator shows great potential for drug delivery and other medical systems.
Experiment on Gas–Liquid Sulfur Relative Permeability under High-Temperature High-Pressure Sour Gas Reservoir Condition
Authors: Guo Xiao , Wang Pengkun , Ma Jingjing , Li Tao
Published: October 2022

In the development of high temperature sour gas reservoirs, gas–liquid sulfur two phase percolations exist, which have a significant impact on the gas permeability and gas well productivity. There are currently few reports on experimental studies on gas–liquid sulfur relative permeability. This study improves the experimental equipment and process, and it proposes an experimental method for measuring the gas–liquid sulfur relative permeability curve. Several typical core samples from a sour gas reservoir in Sichuan Basin, China were selected for experimental study, and the gas–liquid sulfur relative permeability under high temperature and high pressure (HTHP) was measured. The results show that, first, the critical flowing saturation of liquid sulfur was 40%, and the gas–liquid sulfur co-flow zone was narrow. With the increase in the liquid sulfur saturation, the gas relative permeability decreased rapidly. Second, the better the physical properties of the core, the greater the damage of liquid sulfur to the core properties. The residual liquid sulfur saturation of the fractured core was higher than matrix core, and as liquid sulfur saturation increased, so did the damage to gas permeability. Third, temperature had an effect on the gas–liquid sulfur relative permeability. Gas relative permeability decreased as the temperature rose, while the liquid sulfur relative permeability remained essentially constant. Fourth, the rock effective stress had a significant impact on the gas–liquid sulfur relative permeability. The relative permeability of gas and liquid sulfur decreased as the effective stress increased, and the fractured core was more sensitive to stress.
Narrative and Atonement: The Ministry of Reconciliation in the Work of James H. Cone
Authors: Rutledge Jonathan C.
Published: October 2022

Contemporary analytic theological discussions of atonement do not attend extensively to questions of how narrative might relate to the atoning work of Christ. Liberation theologians, on the other hand, utilize narrative in their scholarly method regularly and often employ it when discussing atonement or reconciliation. This essay argues that analytic theologians should consider the notion of narrative (and narrative identity) as a mechanism of atonement in the broad sense of the term introduced when William Tyndale coined ‘atonement’ to translate 2 Corinthians 5. I then offer some psychological grounds for thinking that reframing one’s self-narrative in terms of a transcendent narrative is often conducive to human flourishing, and I consider the work of James H. Cone as an instance of such transcendent narrative reframing at work.
The Ritualization of Classic Confucian Spirit of Jing (Reverence and Respect): Evidence from Traditional Chinese Capping Ritual
Authors: Wu Yue , Liang Hui’e , Shen Yijun , Jiang Qianling
Published: October 2022

In ancient China, all moral concepts are based on Li  禮  (ritual). Jing  敬  (reverence and respect) is one of the core categories of Confucian ritual spirituality and has rich ideological connotations. This study discusses how Confucianism realizes the ritualization of jing and constructs its symbolic system in the capping ritual to strengthen adult consciousness and social responsibility. First, based on relevant classic texts, we clarify the internal relationship between traditional ritual spirituality and jing. Then, we present an overview of the coming-of-age ceremony and discuss how religious beliefs and rituals incorporate Confucian ethical values and aesthetics. Finally, from the ritual uses of time, space, and behavior, we examine the meaning of jing in the specific practice of the traditional Chinese capping ritual and how it is conveyed to participants and observers through ritual implements and behaviors. The results show the capping ritual as an important life etiquette, and Confucianism injects the spirit of jing into every phase to cultivate an emotional response that will instantiate a moral ideal applicable to individuals and the state. In complex, modern societies, it is important to condense the Confucian spiritual connotation of jing and integrate it into modern coming-of-age rites.
A Quali-Quantitative Comparison between In Situ and Ex Situ Waste-to-Energy Processes in Terms of Local and Global Impacts
Authors: Adami Luca , Schiavon Marco
Published: October 2022

Despite the improvements made in recent decades on the emission control of waste combustion plants, the chronically low public acceptance still influences the strategical choices of local authorities, who may decide to export waste to other regions instead of treating waste locally in a waste-to-energy (WtE) plant. The present paper proposes a method to identify a more sustainable solution between local waste treatment and the export of waste. To do this, two waste-management scenarios were compared: (1) an in situ WtE scenario, considering a WtE plant in a region of about 500,000 inhabitants; and (2) an ex situ WtE scenario, considering the road transportation of waste to a WtE plant located in another region. This method yields an estimation of the maximum distance that trucks may cover to balance the emissions of the air pollutants released in the in situ WtE scenario. The methodology is based on the COPERT emission model and on emission factors of WtE processes. The results show that the maximum distance is limited by the emissions of polycyclic aromatic hydrocarbons by road trucks. Finally, the paper discusses the results considering the energy efficiency of WtE processes and proposes alternative WtE strategies to increase the level of public acceptance.
An Educational Test Rig for Kinesthetic Learning of Mechanisms for Underactuated Robotic Hands
Authors: Achilli Gabriele , Logozzo Silvia , Valigi Maria
Published: October 2022

Teaching robotics requires interdisciplinary skills and a good creativity, providing instructions and hands-on experiences, exploiting different kinds of learning. Two kinds of learning methods are commonly used: the ‘visual learning’ and the ‘auditory learning’, recognizable by the preference of an approach for images, rather than for texts, or oral explanations. A third possible learning style is the ‘kinesthetic learning’, based on tactile activities, which is generally least exploited, both by teachers in the classroom and by students during individual study. In this perspective, the use of educational test rigs is a good practice and adds an opportunity to share a passion for robotics. The paper focuses on the realization and application of an educational test rig aimed at explaining how a differential mechanism works and how it can be applied to robotic underactuated soft grippers to move multiple robotic fingers independently of each other using just a single actuator. The differential test bench was realized by 3D printing and mounted with the help of students in high school seminaries oriented to encourage students towards robotic or mechatronic studies. This activity was very thrilling for the students and helped them to approach robotics in a natural way, exploiting kinesthetic learning as it is demonstrated by test results.
Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza
Authors: Biondi Filippo , Malanga Corrado
Published: October 2022

A problem with synthetic aperture radar (SAR) is that due to the poor penetrating action of electromagnetic waves inside solid bodies, the capability to observe inside distributed targets is precluded. Under these conditions, imaging action is provided only on the surface of distributed targets. The present work describes an imaging method based on the analysis of micro-movements on the Khnum-Khufu Pyramid, which are usually generated by background seismic waves. The obtained results prove to be very promising, as high-resolution full 3D tomographic imaging of the pyramid’s interior and subsurface was achieved. Khnum-Khufu becomes transparent when observed in the micro-movement domain. Based on this novelty, we have completely reconstructed internal objects, observing and measuring structures that have never been discovered before. The experimental results are estimated by processing series of SAR images from the second-generation Italian COSMO-SkyMed satellite system, demonstrating the effectiveness of the proposed method.
Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France
Authors: Navnath Naik Nitesh , Chandrasekaran Kandasamy , Stateczny Andrzej , Sundaram Venkatesan Meenakshi , Panneer Prabhavathy
Published: October 2022

Current Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved issue in remote sensing. In classifying land cover, utilizing SITS rather than one image might benefit differentiating across classes because of their varied temporal patterns. The aim was to forecast the land cover class of a group of pixels as a multi-class single-label classification problem given their time series gathered using satellite images. In this article, we exploit SITS to assess the capability of several spatial and temporal deep learning models with the proposed architecture. The models implemented are the bidirectional gated recurrent unit (GRU), temporal convolutional neural networks (TCNN), GRU + TCNN, attention on TCNN, and attention of GRU + TCNN. The proposed architecture integrates univariate, multivariate, and pixel coordinates for the Reunion Island’s landcover classification (LCC). the evaluation of the proposed architecture with deep neural networks on the test dataset determined that blending univariate and multivariate with a recurrent neural network and pixel coordinates achieved increased accuracy with higher F1 scores for each class label. The results suggest that the models also performed exceptionally well when executed in a partitioned manner for the LCC task compared to the temporal models. This study demonstrates that using deep learning approaches paired with spatiotemporal SITS data addresses the difficult task of cost-effectively classifying land cover, contributing to a sustainable environment.
Internet-of-Things Based Hardware-in-the-Loop Framework for Model-Predictive-Control of Smart Building Ventilation
Authors: Kharbouch Abdelhak , Berouine Anass , Elkhoukhi Hamza , Berrabah Soukayna , Bakhouya Mohamed , El Ouadghiri Driss , Gaber Jaafar
Published: October 2022

In this work, a Hardware-In-the-Loop (HIL) framework is introduced for the implementation and the assessment of predictive control approaches in smart buildings. The framework combines recent Internet of Things (IoT) and big data platforms together with machine-learning algorithms and MATLAB-based Model Predictive Control (MPC) programs in order to enable HIL simulations. As a case study, the MPC algorithm was deployed for control of a standalone ventilation system (VS). The objective is to maintain the indoor Carbon Dioxide (CO2) concentration at the standard comfort range while enhancing energy efficiency in the building. The proposed framework has been tested and deployed in a real-case scenario of the EEBLab test site. The MPC controller has been implemented on MATLAB/Simulink and deployed in a Raspberry Pi (RPi) hardware. Contextual data are collected using the deployed IoT/big data platform and injected into the MPC and LSTM machine learning models. Occupants’ numbers were first forecasted and then sent to the MPC to predict the optimal ventilation flow rates. The performance of the MPC control over the HIL framework has been assessed and compared to an ON/OFF strategy. Results show the usefulness of the proposed approach and its effectiveness in reducing energy consumption by approximately 16%, while maintaining good indoor air quality.
Impact of the Cholera Epidemic of 1867–1868 on the Global Excess Deaths of the Resident Population in the Province of Córdoba
Authors: Villafañe Jorge Hugo
Published: October 2022

Cholera, a disease originating in India, until the beginning of the 19th Century had rarely manifested itself in the West. The disease arrived in Argentina for the first time in an epidemic form in 1859. Since that date, cholera has entered the country on other occasions and spread to the interior, causing serious disorders, which sometimes added to other tragic events, such as the War of Paraguay or the yellow fever epidemic. The aim of this study was to calculate the excess deaths associated with the cholera epidemic from 1867 to 1868 in the province of Córdoba, a population of more than 175,000 inhabitants. Parish data on excess deaths precisely respond to this need. The excess mortality associated with the cholera epidemic was calculated as being seven times higher than the previous year; that is, the number of deaths from the disease was 1767 cases in the province of Córdoba. During the peak of the disease, in January 1868, mortality rose to 12.2 times higher. Excess deaths are an essential measure to monitor the impact of the epidemic.
Youth Perceptions and Attitudes towards Road Safety in Serbia
Authors: Pešić Andrijana , Stephens Amanda N. , Newnam Sharon , Čičević Svetlana , Pešić Dalibor , Trifunović Aleksandar
Published: October 2022

Road traffic crashes are a leading cause of death for young people. Aberrant driver behaviors, such as drink driving, speeding, not wearing seatbelts, non-compliance with traffic rules and aggressive driving, are key contributors to these crashes. Gender and urban/rural differences are also risk factors. In Serbia, where this study was conducted, as well as in most European countries, younger people have the highest road crash and fatality risk. Thus, it is important to understand not only when these behaviors occur, but also the attitudes surrounding them. The latter will provide an avenue for intervention. To address this, a mixed design study was conducted, using a quantitative survey, focus groups and in-depth interviews to understand the attitudes and safety behaviors of young people (aged 16–25) in Serbia. Results across all methods showed that attitudes and perceptions regarding road safety differ across gender and location (urban/rural). Young drivers reported frequent engagement in alcohol-impaired driving, speeding, non-using seatbelts and using mobile phones while driving. Dominant attitudes underlying these behaviors related to lower perceived risk and a lack of perceived enforcements. These results show support for education campaigns in improving the risky behavior of young drivers.
Redesigning New Policy Options for Thalassemia Prevention in Sri Lanka
Authors: Amarasinghe Nadeeja , Amarasena Amila , Thabrew Anoj , Werawatte Prabhath , Premawardhena Anuja , Malik Farnaz , Abusayeed Mohamed , Wickramasinghe Champika
Published: October 2022

Sri Lanka, a country with 22 million people, has nearly 2000 thalassemia patients with severe thalassemia, two-thirds of whom have beta thalassemia major (TM). The current prevention program based on promoting “safe marriages”, which has been in existence for over 15 years, has failed to reduce thalassemia major births. We set about to examine the cost-effectiveness of novel policy options for thalassemia prevention in Sri Lanka. Methods: The current cost for treatment of a thalassemia major patient (USD 2602/yr) was compared against the cost per reduction of single birth with three novel strategies, namely intensifying the screening in the current five districts combined with an education program (policy option 1), a nationwide screening program (policy option 2), and antenatal screening combined with the termination of pregnancy (policy option 3). The incremental cost-effectiveness ratio (ICER) of the different strategies was calculated. Results: The status quo was considered to reduce one TM birth whilst the new policy options were able to reduce births by 14, 35, and 48, respectively. The costs incurred for the program for a year for status quo and the three novel programs were USD 104,788, 173,884, 781,372, and 904,186 respectively. Cost per prevention of a thalassemia major birth was USD 87,324, 12,420, 22,324, and 20,084, respectively. The lifetime cost per treatment of a thalassemia major patient was USD 34,653. Conclusions: Given the current legal restriction on termination of pregnancy for fetal indications, policy option 2, an island-wide screening with mass education, is the most cost-effective and will be expected to deliver a substantial reduction in new births.
Novel Bacillus-Infecting Bacteriophage B13—The Founding Member of the Proposed New Genus Bunatrivirus
Authors: Kazantseva Olesya A. , Piligrimova Emma G. , Shadrin Andrey M.
Published: October 2022

In this work, we describe a novel temperate bacteriophage, Bacillus phage B13. Bacillus-infecting phages are widespread and abundant, though often overlooked including because of their temperate lifestyle. B13 was isolated from its bacterial host via mitomycin C induction. Its host range was determined, and its pH and thermal stability were evaluated. The whole genome of B13 was sequenced and annotated. The genome is 36,864 bp long and contains 53 genes. The tail genes of B13 suggest that the phage has a siphovirus morphotype. It was found both in vitro and in silico that the phage uses the 3′-cos DNA packaging strategy, and the phage genome termini were located. Comparative analyses revealed that B13 has no close relatives and should therefore be assigned to a new viral genus, for which we propose the name Bunatrivirus.
Increasing Vaccination: Psychological Characteristics of COVID-19 Vaccine Advocates, Converts, and Resisters in Hong Kong
Authors: Wang Xiaohui , Huang Yi-Hui Christine , Cai Qinxian
Published: October 2022

This study uses longitudinal data to profile psychological characteristics of COVID-19 vaccine advocates, resisters, and converts. We conducted a two-wave longitudinal survey (Nwave1 = 3190, Nwave2 = 2193) in Hong Kong using stratified quota sampling. Among those who completed both survey waves, 458 (30.5%) were classified as vaccine advocates, 295 (19.7%) were vaccine resisters, and 621 (41.4%) were vaccine converts (who shifted away from hesitancy). Compared to advocates, resisters were more likely to be female, those without children, between 40 and 49 years old, democratic voters, and those with poor health. Highly educated individuals, non-democrats, and those in good health were more likely to convert from hesitancy to acceptance. Public trust in authorities and confidence in vaccine were the primary factors related to vaccine uptake. Those who were more confident in vaccine, those who increased in information consumption and risk perceptions towards the pandemic, and those who decreased in their trust of health professionals were more likely to convert. Our study complements the emerging global picture of COVID-19 vaccine acceptance by focusing on changes in vaccine hesitancy during the pandemic.
Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach
Authors: Abbaspour Sara , Robbins Gregory K. , Blumenthal Kimberly G. , Hashimoto Dean , Hopcia Karen , Mukerji Shibani S. , Shenoy Erica S. , Wang Wei , Klerman Elizabeth B.
Published: October 2022

Side effects of COVID-19 or other vaccinations may affect an individual’s safety, ability to work or care for self or others, and/or willingness to be vaccinated. Identifying modifiable factors that influence these side effects may increase the number of people vaccinated. In this observational study, data were from individuals who received an mRNA COVID-19 vaccine between December 2020 and April 2021 and responded to at least one post-vaccination symptoms survey that was sent daily for three days after each vaccination. We excluded those with a COVID-19 diagnosis or positive SARS-CoV2 test within one week after their vaccination because of the overlap of symptoms. We used machine learning techniques to analyze the data after the first vaccination. Data from 50,484 individuals (73% female, 18 to 95 years old) were included in the primary analysis. Demographics, history of an epinephrine autoinjector prescription, allergy history category (e.g., food, vaccine, medication, insect sting, seasonal), prior COVID-19 diagnosis or positive test, and vaccine manufacturer were identified as factors associated with allergic and non-allergic side effects; vaccination time 6:00–10:59 was associated with more non-allergic side effects. Randomized controlled trials should be conducted to quantify the relative effect of modifiable factors, such as time of vaccination.
Effect of Influenza Vaccine on Prevention of Acute Attack of Chronic Airway Disease in Elderly Population
Authors: Gao Kun , Qu Guangbo , Zhang Cuihong , Li Huaibiao , Sun Liang
Published: October 2022

This study investigated the effect of influenza vaccination on prevention of acute attacks in elderly patients with chronic airway disease and provides evidence for the prevention and control strategy of chronic airway disease in the elderly population. A total of 348 elderly patients in Linquan County, Anhui Province, China, who were also in stationary phases of chronic airway disease and were vaccinated with either the tetravalent or trivalent influenza vaccine were selected. The number of patients with acute attacks, the number of outpatients with acute attacks, the number of outpatients, the number of inpatients, the total cost of patients, the cost of outpatients, the cost of hospitalization, and the length of hospitalization were collected before vaccination and after a one-year follow-up. There was no significant difference in age and sex ratio among the two vaccination groups. The ratios of acute attacks, outpatient visits, and hospitalizations and number of outpatient visits, number of hospitalizations, total medical expenses, outpatient expenses, and hospitalization expenses were significantly higher before vaccination than those after vaccination in both the trivalent-vaccination group and tetravalent-vaccination group. Additionally, there was no significant difference in the length of stay between before and after vaccination in either the trivalent-vaccination group or tetravalent-vaccination group. The protection effect between the trivalent-vaccination group and tetravalent-vaccination group was not significant. Influenza vaccination can effectively prevent the acute attack of chronic airway disease and delay the progress of chronic airway disease.
Effectiveness of Inactivated COVID-19 Vaccines against COVID-19 Caused by the SARS-CoV-2 Delta and Omicron Variants: A Retrospective Cohort Study
Authors: Hua Qiaoli , Zheng Danwen , Yu Bo , Tan Xinghua , Chen Qiumin , Wang Longde , Zhang Jing , Liu Yuntao , Weng Heng , Cai Yihang , Xu Xiaohua , Feng Bing , Zheng Guangjuan , Ding Banghan , Guo Jianwen , Zhang Zhongde
Published: October 2022

Background: Real-world evidence on the effectiveness of inactivated vaccines against the Delta and Omicron (BA.2.38) variants remains scarce. Methods: A retrospective cohort study was conducted to estimate the adjusted vaccine effectiveness (aVE) of one, two, and three doses of inactivated vaccines in attenuating pneumonia, severe COVID-19, and the duration of viral shedding in Delta and Omicron cases using modified Poisson and linear regression as appropriate. Results: A total of 561 COVID-19 cases were included (59.2% Delta and 40.8% Omicron). In total, 56.4% (184) of Delta and 12.0% (27) of Omicron cases had COVID-19 pneumonia. In the two-dose vaccinated population, 1.4% of Delta and 89.1% of Omicron cases were vaccinated for more than 6 months. In Delta cases, the two-dose aVE was 52% (95% confidence interval, 39–63%) against pneumonia and 61% (15%, 82%) against severe disease. Two-dose vaccination reduced the duration of viral shedding in Delta cases, but not in booster-vaccinated Omicron cases. In Omicron cases, three-dose aVE was 68% (18%, 88%) effective against pneumonia, while two-dose vaccination was insufficient for Omicron. E-values were calculated, and the E-values confirmed the robustness of our findings. Conclusions: In Delta cases, two-dose vaccination within 6 months reduced pneumonia, disease severity, and the duration of viral shedding. Booster vaccination provided a high level of protection against pneumonia with Omicron and should be prioritized.
The Ability of a Bacterial Strain to Remove a Phenolic Structure as an Approach to Pulp and Paper Mill Wastewater Treatment: Optimization by Experimental Design
Authors: Yeber María Cristina , Silva Tatiana
Published: October 2022

High-colored wastewater generated during the cellulose bleaching process causes the inhibition of biological activity when released into the environment. This study aimed to evaluate the bacterium’s capacity, identified as RGM2262, to degrade a complex phenolic structure such as lignin, which is found in high concentrations in the effluents generated during the production of cellulose, raw material for the manufacture of paper. To determine the values of the experimental variables that allow for a greater degradation of organic matter, an experimental model was carried out through experimental design. Thus, the experimental matrix was obtained with the variables pH 7 (−1) to 9 (+1) and a treatment time of 1 day (−1) to 5 days (+1). The results show that, at pH 8 and pH 9, both treatments—with bacteria in bio-films and without bio-films—were efficient. On the second day of treatment, 100% of the color and the phenolic structure were removed, with a similar rate constant, and at the same time, 80% COD and 70% of TOC, respectively.
Prediction of Wastewater Treatment Plant Performance Using Multivariate Statistical Analysis: A Case Study of a Regional Sewage Treatment Plant in Melaka, Malaysia
Authors: Rahmat Sofiah , Altowayti Wahid Ali Hamood , Othman Norzila , Asharuddin Syazwani Mohd , Saeed Faisal , Basurra Shadi , Eisa Taiseer Abdalla Elfadil , Shahir Shafinaz
Published: October 2022

The wastewater quality index (WWQI) is one of the most significant methods of presenting meaningful values that reflect a fundamental characteristic of wastewater. Therefore, this study was performed to develop a prediction approach using WWQI for a regional wastewater treatment plant (WWTP) in Melaka, Malaysia. The regional system of WWTP provides a huge amount of registered data due to the many parameters recorded daily. A multivariate statistical analysis approach was applied to analyze the database. In this approach, principal component analysis (PCA) was used to reduce the dimensionality of datasets obtained from the field municipal WWTP, and multiple linear regression (MLR) was used to predict the performance of WWQI. Seven principal component analyses were derived where the eigenvalue was above 1.0, explaining 71.01% of the variance. A linear relationship was observed (R2 = 0.85), p-value < 0.05, and residual values were uniformly distributed above and below the zero baselines. Therefore, the coefficients of the WWQI model are directly dependent on influent biological oxygen demand (BOD), effluent BOD, influent chemical oxygen demand (COD), and effluent COD values. The experimental results showed that the model performed well and can be used to predict WWQI for each WWTP individually and provide better achievements.
Agro-Industrial Waste as Potential Heavy Metal Adsorbents and Subsequent Safe Disposal of Spent Adsorbents
Authors: Simón Daiana , Palet Cristina , Costas Agustín , Cristóbal Adrián
Published: October 2022

Water pollution is an environmental problem that affects the ecosystem and living beings. Adsorption is one of the best technologies for the removal of heavy metals. Since waste recovery is the basis of the Circular Economy, agro-industrial waste is emerging as low-cost adsorbents for these pollutants from wastewater. Residues of pine sawdust, sunflower seed hulls and corn residues mix were evaluated as adsorbents of synthetic aqueous solutions of Ni(II), Zn(II) and Cd(II). These residues were characterized to determine their structure and composition, and to understand the adsorption mechanism. Adsorption efficiencies and capacities for the adsorbents and adsorbates were determined and compared. From the obtained results, it is possible to affirm that all biomasses used are good alternatives to the synthetic materials, with adsorption efficiencies greater than 50%. The order of adsorption was Cd > Zn > Ni. At the concentration range checked, adsorption efficiencies decreased in sawdust when a mixture of all metals together was considered (as present in real sewage). Finally, the heavy metals were immobilized, with efficiencies over 88.5%, in clay ceramics (as brick’s precursors). This procedure would help to minimize the contamination that could be generated by the disposal of spent adsorbents, rarely explored in the literature.
A Joint Method Based on Geochemistry and Magnetotelluric Sounding for Exploring Geothermal Resources in Sedimentary Basins and Its Application
Authors: Liu Yanguang , Wang Guiling , Guo Xuezhong , Hu Jing , Wang Jianguo , Wang Xiaojun , Zhao Gui
Published: October 2022

The precise exploration of the characteristics of geothermal fields in sedimentary basins, such as the temperature and burial depth of their deep geothermal reservoirs, is of great significance for improving the probability of penetration and reducing exploration risks and development costs. This study proposed a joint exploration method combining magnetotelluric (MT) sounding and geothermometers. Using this method, this study estimated the geothermal reservoirs’ temperature and the circulation depth of geothermal water in the Xianxian geothermal field, a typical geothermal field in a large sedimentary basin in northern China, and prepared the temperature and depth maps of the geothermal reservoirs. The main results are as follows. First, the bedrock’s geothermal reservoirs with karst fissures in the Xianxian geothermal field have great potential for development. Among them, geothermal reservoirs in the Jixianian Wumishan formation have a top depth of 1100–1500 m and a thickness of 700–1700 m, and the geothermal reservoirs in the Jixianian Gaoyuzhuang formation have a top depth of 3700–4000 m and a maximum drilled thickness of 400 m. The geothermal reservoirs of the Xianxian geothermal field mainly have medium and low temperatures of 138–160 °C and the circulation depth of the geothermal water is 5873 m.
Monitoring and Analysis of Water Surface Slope of the Yarlung Zangbo River Based on Remote Sensing
Authors: Wang Shidong , Cui Dunyue , Xu Jiahui
Published: October 2022

Global warming has led to an increase in interest in river hydrology. Water surface slope is a basic parameter of river morphology and is critical in understanding riverine ecosystems. The Yarlung Zangbo River is an important international river. Scientific understanding of its hydrology has been severely limited by its harsh topography and the sparse distribution of measurement stations. This paper describes the first attempt to use ICESat-2 satellite altimetry data to calculate river water slope and introduces a new technique for studying river hydrology. Water level data for different stretches of the Yarlung Zangbo River were obtained from high spatial resolution ICESat-2 altimetry data. The data were analyzed to determine the water surface slope of the Yarlung Zangbo River, and variation in the water surface slope was examined for several river sections. The water surface slope of the Yarlung Zangbo River was greatest in summer and autumn and least in winter and spring. There may be seasonal cyclic changes in the water surface slope. The range for water surface slope was large and the difference in extremes is significant; the maximum average water surface slope was 1935.17 cm/km and the minimum water surface slope was 0.08 cm/km. The water surface slope of the Yarlung Zangbo River can be characterized as small in the upper and middle reaches and large in the lower reaches; it is related to dry and wet conditions determined by topography and climate. The upper and middle reaches of the Yarlung Zangbo River are semi-arid and the lower reaches of the Yarlung Zangbo River span three climate zones: semi-arid, semi-humid and humid. In addition, the water level information measured by ICESat-2 data is basically similar to the water level information measured by Hydroweb data, except that the water level information of individual virtual stations is quite different due to special reasons. It was found that ICESat-2 data had higher-accuracy water level data results and more river location information. Therefore, ICESat-2 satellite altimetry data can provide a baseline reference for the study of the Yarlung Zangbo River hydrology, and the technique used is applicable to other rivers.
¿Un compromiso social para el Antropoceno? Reacciones de las élites al Acuerdo de Escazú y las posibilidades de un Estado verde transformador latinoamericano
Authors: Bull Benedicte
Published: October 2022

El mundo enfrenta con urgencia la necesidad de una “transformación verde”, que implica no solo una transición hacia el uso de energías renovables y la reducción de la pérdida de biodiversidad, sino también un profundo cambio social hacia la justicia social y la sostenibilidad. Ello requiere de compromisos sociales entre élites y sectores populares que permitan construir instituciones fuertes para implementar cambios. América Latina afronta enormes desafíos para aumentar la igualdad, la justicia y la sostenibilidad, pero también puede jugar un papel fundamental en la transformación verde global. La región también se caracteriza por tener élites robustas, fuertes movimientos socioambientales y profundos conflictos ambientales, que dificultan los compromisos sociales. Este documento analiza las reacciones de las élites al acuerdo regional más avanzado sobre regulación ambiental y resolución de conflictos, el Acuerdo de Escazù. En muchos países, las élites se opusieron con vehemencia, arguyendo la injerencia sobre su soberanía nacional, pero rechazando particularmente las implicaciones institucionales del acuerdo que suponen un mayor compromiso para permitir la participación popular. A esto se opusieron las élites económicas de los países democráticos (Chile, Colombia, Costa Rica y Perú), así como las élites gubernamentales de los países autoritarios (El Salvador y Venezuela). Sin embargo, en varios casos, la oposición de las élites fue superada gracias a la movilización social y al diálogo. Este documento analiza los aprendizajes de las reacciones de las élites al Acuerdo de Escazú ante futuros compromisos sociales como base para el surgimiento de Estados transformadores en América Latina.
Metode Material Requirement Planning (MRP) untuk Perencanaan Kebutuhan Bahan Baku pada Produksi Songkok Nasional di UD. Iqbal VIP
Authors: Rufaidah Anik , Lestari Kurnia Cahya , Wahyudin Muhammad Arif
Published: October 2022

The right production design at a company will get effectiveness and more production efficiency, including the plan for material requirements or raw materials used by the company. In essence, planning to meet the needs of the material in a company is expected to produce an appropriate system to be applied, therefore making the production process smooth. Where this research aims to compile Material Requirement Planning (MRP) with lot-sizing technique, then compare the results to obtain the optimal combination of raw material procurement. The use of time series method on-demand uses past data, namely the last two years and the forecasting results use the additive decomposition method because this method gets a minimum error value. By using POM, the demand prediction for one year is 6951 scores. Meanwhile, the MPS results on the raw material for one year of songkok required 488 pcs of velvet cloth, 1391 kg of pelisir and 6951 scores of bos-bosan.  From the MRP results, the PPB technique is the most optimal for planning the raw material needs of velvet, lining and boredom by ordering the purchase of natural velvet fabric as much as six times, pelisir 1 time and bos-bosan as 6 times.