bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Taylor Algorithm for Computing the Matrix Logarithm
Authors: Ibáñez Javier , Sastre Jorge , Ruiz Pedro , Alonso José M. , Defez Emilio
Published: August 2021

The most popular method for computing the matrix logarithm is a combination of the inverse scaling and squaring method in conjunction with a Padé approximation, sometimes accompanied by the Schur decomposition. In this work, we present a Taylor series algorithm, based on the free-transformation approach of the inverse scaling and squaring technique, that uses recent matrix polynomial formulas for evaluating the Taylor approximation of the matrix logarithm more efficiently than the Paterson–Stockmeyer method. Two MATLAB implementations of this algorithm, related to relative forward or backward error analysis, were developed and compared with different state-of-the art MATLAB functions. Numerical tests showed that the new implementations are generally more accurate than the previously available codes, with an intermediate execution time among all the codes in comparison.
Sudden Fall in the Lipid-Lowering Effect of Evolocumab: The Butler Is Not Always Guilty
Authors: Fogacci Federica , Borghi Claudio , Di Micoli Antonio , Cicero Arrigo F. G.
Published: August 2021

A 78-year-old man came to our attention after undergoing coronary computed tomography angiography documenting multivessel coronary artery disease. He was started on treatment with the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor evolocumab 140 mg subcutaneously every 2 weeks. Treatment-emergent changes in lipids and lipoproteins were long-lasting, and the medication was well tolerated by the patient in the long-term. Unexpectedly, after 2 years of continuous treatment with evolocumab, serum lipids increased, apparently without any reasonable explanation. During the follow-up visit, the patient was found to have habitually injected evolocumab into his right thumb instead of into the appropriate injection sites (i.e., abdomen, thighs or upper arms) after turning the injector upside down.
2-Hydroxypropyl-β-cyclodextrin Regulates the Epithelial to Mesenchymal Transition in Breast Cancer Cells by Modulating Cholesterol Homeostasis and Endoplasmic Reticulum Stress
Authors: Zhao Yiyang , He Linkang , Wang Tian , Zhu Lifang , Yan Nianlong
Published: August 2021

Cholesterol metabolism affects endoplasmic reticulum (ER) stress and modulates epithelial-mesenchymal transition (EMT). Our previous study demonstrated that 2-hydroxypropyl-β-cyclodextrin (HP-β-CD) attenuated EMT by blocking the transforming growth factor (TGF)-β/Smad signaling pathway and activating ER stress in MDA-MB-231 cells. To further assess the detailed mechanisms between cholesterol metabolism, ER stress, and EMT, LXR-623 (an agonist of LXRα) and simvastatin were used to increase and decrease cholesterol efflux and synthesis, respectively. Here, we found that high HP-β-CD concentrations could locally increase cholesterol levels in the ER by decreasing LXRα expression and increasing Hydroxymethylglutaryl-Coenzyme A reductase (HMGCR) expression in MDA-MB-231 and BT-549 cells, which triggered ER stress and inhibited EMT. Meanwhile, tunicamycin-induced ER stress blocked the TGF-β/Smad signaling pathway. However, low HP-β-CD concentrations can decrease the level of membrane cholesterol, enhance the TGF-β receptor I levels in lipid rafts, which helped to activate TGF-β/Smad signaling pathway, inhibit ER stress and elevate EMT. Based on our findings, the use of high HP-β-CD concentration can lead to cholesterol accumulation in the ER, thereby inducing ER stress, which directly suppresses TGF-β pathway-induced EMT. However, HP-β-CD is proposed to deplete membrane cholesterol at low concentrations and concurrently inhibit ER stress and induce EMT by promoting the TGF-β signaling pathways.
Identification of a Variant in APOB Gene as a Major Cause of Hypobetalipoproteinemia in Lebanese Families
Authors: Ayoub Carine , Azar Yara , Abou-Khalil Yara , Ghaleb Youmna , Elbitar Sandy , Halaby Georges , Jambart Selim , Gannagé-Yared Marie-Hélène , Yaghi Cesar , Saade Riachy Carole , El Khoury Ralph , Rabès Jean-Pierre , Varret Mathilde , Boileau Catherine , El Khoury Petra , Abifadel Marianne
Published: August 2021

Familial hypobetalipoproteinemia (FHBL) is a codominant genetic disorder characterized by reduced plasma levels of low-density lipoprotein cholesterol and apolipoprotein B. To our knowledge, no study on FHBL in Lebanon and the Middle East region has been reported. Therefore, we conducted genetic studies in unrelated families and probands of Lebanese origin presenting with FHBL, in order to identify the causes of this disease. We found that 71% of the recruited probands and their affected relatives were heterozygous for the p.(Arg490Trp) variant in the APOB gene. Haplotype analysis showed that these patients presented the same mutant haplotype. Moreover, there was a decrease in plasma levels of PCSK9 in affected individuals compared to the non-affected and a significant positive correlation between circulating PCSK9 and ApoB levels in all studied probands and their family members. Some of the p.(Arg490Trp) carriers suffered from diabetes, hepatic steatosis or neurological problems. In conclusion, the p.(Arg490Trp) pathogenic variant seems a cause of FHBL in patients from Lebanese origin, accounting for approximately 70% of the probands with FHBL presumably as a result of a founder mutation in Lebanon. This study is crucial to guide the early diagnosis, management and prevention of the associated complications of this disease.
Coevolved Multidrug-Resistant HIV-1 Protease and Reverse Transcriptase Influences Integrase Drug Susceptibility and Replication Fitness
Authors: Martin Supang A. , Cane Patricia A. , Pillay Deenan , Mbisa Jean L.
Published: August 2021

Integrase strand transfer inhibitors (InSTIs) are recommended agents in first-line combination antiretroviral therapy (cART). We examined the evolution of drug resistance mutations throughout HIV-1 pol and the effects on InSTI susceptibility and viral fitness. We performed single-genome sequencing of full-length HIV-1 pol in a highly treatment-experienced patient, and determined drug susceptibility of patient-derived HIV-1 genomes using a phenotypic assay encompassing full-length pol gene. We show the genetic linkage of multiple InSTI-resistant haplotypes containing major resistance mutations at Y143, Q148 and N155 to protease inhibitor (PI) and reverse transcriptase inhibitor (RTI) resistance mutations. Phenotypic analysis of viruses expressing patient-derived IN genes with eight different InSTI-resistant haplotypes alone or in combination with coevolved protease (PR) and RT genes exhibited similar levels of InSTI susceptibility, except for three haplotypes that showed up to 3-fold increases in InSTI susceptibility (p ≤ 0.032). The replicative fitness of most viruses expressing patient-derived IN only significantly decreased, ranging from 8% to 56% (p ≤ 0.01). Interestingly, the addition of coevolved PR + RT significantly increased the replicative fitness of some haplotypes by up to 73% (p ≤ 0.024). Coevolved PR + RT contributes to the susceptibility and viral fitness of patient-derived IN viruses. Maintaining patients on failing cART promotes the selection of fitter resistant strains, and thereby limits future therapy options.
Periorbital Nociception in a Progressive Multiple Sclerosis Mouse Model Is Dependent on TRPA1 Channel Activation
Authors: Dalenogare Diéssica Padilha , Ritter Camila , Bellinaso Fernando Roberto Antunes , Kudsi Sabrina Qader , Pereira Gabriele Cheiran , Fialho Maria Fernanda Pessano , Lückemeyer Débora Denardin , Antoniazzi Caren Tatiane de David , Landini Lorenzo , Ferreira Juliano , Bochi Guilherme Vargas , Oliveira Sara Marchesan , De Logu Francesco , Nassini Romina , Geppetti Pierangelo , Trevisan Gabriela
Published: August 2021

Headaches are frequently described in progressive multiple sclerosis (PMS) patients, but their mechanism remains unknown. Transient receptor potential ankyrin 1 (TRPA1) was involved in neuropathic nociception in a model of PMS induced by experimental autoimmune encephalomyelitis (PMS-EAE), and TRPA1 activation causes periorbital and facial nociception. Thus, our purpose was to observe the development of periorbital mechanical allodynia (PMA) in a PMS-EAE model and evaluate the role of TRPA1 in periorbital nociception. Female PMS-EAE mice elicited PMA from day 7 to 14 days after induction. The antimigraine agents olcegepant and sumatriptan were able to reduce PMA. The PMA was diminished by the TRPA1 antagonists HC-030031, A-967079, metamizole and propyphenazone and was absent in TRPA1-deficient mice. Enhanced levels of TRPA1 endogenous agonists and NADPH oxidase activity were detected in the trigeminal ganglion of PMS-EAE mice. The administration of the anti-oxidants apocynin (an NADPH oxidase inhibitor) or alpha-lipoic acid (a sequestrant of reactive oxygen species), resulted in PMA reduction. These results suggest that generation of TRPA1 endogenous agonists in the PMS-EAE mouse model may sensitise TRPA1 in trigeminal nociceptors to elicit PMA. Thus, this ion channel could be a potential therapeutic target for the treatment of headache in PMS patients.
Synthesis, Characterization, and Anticancer Activity of Benzothiazole Aniline Derivatives and Their Platinum (II) Complexes as New Chemotherapy Agents
Authors: Islam Md. Kamrul , Baek Ah-Rum , Sung Bokyung , Yang Byeong-Woo , Choi Garam , Park Hyun-Jin , Kim Yeoun-Hee , Kim Minsup , Ha Seongmin , Lee Gang-Ho , Kim Hee-Kyung , Chang Yongmin
Published: August 2021

We describe the synthesis, characterization, molecular modeling, and in vitro anticancer activity of three benzothiazole aniline (BTA) ligands and their corresponding platinum (II) complexes. We designed the compounds based on the selective antitumor properties of BTA, along with three types of metallic centers, aiming to take advantage of the distinctive and synergistic activity of the complexes to develop anticancer agents. The compounds were characterized using nuclear magnetic resonance spectrometry, Fourier transform infrared spectroscopy, mass spectrometry, elemental analysis, and tested for antiproliferative activity against multiple normal and cancerous cell lines. L1, L2, and L1Pt had better cytotoxicity in the liver, breast, lung, prostate, kidney, and brain cells than clinically used cisplatin. Especially, L1 and L1Pt demonstrated selective inhibitory activities against liver cancer cells. Therefore, these compounds can be a promising alternative to the present chemotherapy drugs.
Splitting of the Magnetic Loss Peak of Composites under External Magnetic Field
Authors: Shiryaev Artem , Rozanov Konstantin , Naboko Andrey , Artemova Anastasia , Maklakov Sergey , Bobrovskii Stanislav , Petrov Dmitriy
Published: August 2021

Composite materials filled with ferromagnetic inclusions are useful in the development of various microwave devices. The performance of such devices is determined both by material properties (such as the saturation magnetization and the permeability) and by the demagnetization effects. The paper is devoted to the study of the demagnetization effect on the permeability measurements of composites under external magnetic bias. The microwave permeability of composites filled with flake sendust (Fe-Si-Al alloy) particles is measured as a function of frequency and the external magnetic field. The measurements are carried out by the Nicolson–Ross–Weir technique in a 7/3 coaxial line in the frequency range of 0.1 to 20 GHz by a vector network analyzer. It is found that the magnetic loss peak is split under external fields of more than 1.5 kOe. The main aim of this paper is to study the causes of this splitting and to interpret the observed magnetic loss peaks. To study this effect, the samples of various thicknesses and the samples with isotropic and anisotropic orientations of particles are measured. The particles in the anisotropic samples are oriented by a strong uniform magnetic field. At a small fraction of inclusions, the permanent magnetic field is demagnetized on the individual particles rather than the whole sample. The splitting of the magnetic loss peak of the isotropic sample is caused by different orientations of particles in the sample. At a high fraction of inclusions, the permanent magnetic field is demagnetized on the whole sample and the magnetic loss peak of the isotropic sample is not split. The saturation magnetization of the material is found by measurements under the external magnetic field of the anisotropic sample.
Estimating the Effects of a Hurricane on Carbon Storage in Mangrove Wetlands in Southwest Florida
Authors: Griffiths Lauren N. , Mitsch William J.
Published: August 2021

Tropical and subtropical mangrove swamps, under normal conditions, can sequester large amounts of carbon in their soils but as coastal wetlands, they are prone to hurricane disturbances. This study adds to the understanding of carbon storage capabilities of mangrove wetlands and explores how these capacities might change within the scope of a changing storm climate. In September 2017, Naples Bay, FL, USA (28°5′ N, 81°47′ W) encountered a direct hit from hurricane Irma, a Saffir–Simpson category 3 storm. By comparing carbon storage, forest community structure, and aboveground productivity collected in 2013 and in 2019, we estimated the effects of hurricane Irma on mangrove functions. Aboveground biomass increased during the study period at a rate of approximately 0.72 kg m−2 yr−1, significantly less than the average found in undisturbed mangrove forests. Soil carbon storage decreased at all study sites. On average, 2.7 kg-C m−2 was lost in the top 20 cm between sample collections. Carbon loss in belowground pools could point to a feedback of mangrove swamps on climate change as they lose their ability to store carbon and increase net atmospheric carbon. Nevertheless, mangrove swamps remain resilient to tropical storms in the long term and can recover their carbon storage capacity in the years following a storm.
Molecular Characterization, Expression Analysis of Carotenoid, Xanthophyll, Apocarotenoid Pathway Genes, and Carotenoid and Xanthophyll Accumulation in Chelidonium majus L.
Authors: Sathasivam Ramaraj , Yeo Hyeon Ji , Park Chang Ha , Choi Minsol , Kwon Haejin , Sim Ji Eun , Park Sang Un , Kim Jae Kwang
Published: August 2021

Chelidonium majus L. is a perennial herbaceous plant that has various medicinal properties. However, the genomic information about its carotenoid biosynthesis pathway (CBP), xanthophyll biosynthesis pathway (XBP), and apocarotenoid biosynthesis pathway (ABP) genes were limited. Thus, the CBP, XBP, and ABP genes of C. majus were identified and analyzed. Among the 15 carotenoid pathway genes identified, 11 full and 4 partial open reading frames were determined. Phylogenetic analysis of these gene sequences showed higher similarity with higher plants. Through 3D structural analysis and multiple alignments, several distinct conserved motifs were identified, including dinucleotide binding motif, carotene binding motif, and aspartate or glutamate residues. Quantitative RT-PCR showed that CBP, XBP, and ABP genes were expressed in a tissue-specific manner; the highest expression levels were achieved in flowers, followed by those in leaves, roots, and stems. The HPLC analysis of the different organs showed the presence of eight different carotenoids. The highest total carotenoid content was found in leaves, followed by that in flowers, stems, and roots. This study provides information on the molecular mechanisms involved in CBP, XBP, and ABP genes, which might help optimize the carotenoid production in C. majus. The results could also be a basis of further studies on the molecular genetics and functional analysis of CBP, XBP, and ABP genes.
Applicability of Islamic Methodology Concerning Novel Issues to the Organ Transplantation in Religious Scholars’ Contemporary Discourse
Authors: Amin Faroque
Published: August 2021

Classical Islamic theology has laid down a meticulous and intricate methodology of dealing with novel issues from theological perspectives; to understand and actualise religious viewpoints regarding any matter or event that did not take place during the early formative period of Islamic Shari’ah, i.e., the lifetime of the Prophet (S.). During the later formative period, classical Islamic scholars developed several principles such as Qiyas (analogical deduction), Ijma’(consensus), Istihsan (public interest), ‘Urf (local norms) and so on, that all together would build the construct of the concept of Ijtihad (independent interpretation), and which would be carried out by competent religious scholars. Organ transplantation, of which organ donation is a conceptual component, is a contemporary issue that was not familiar among Muslim scholars in the early era. Therefore, it is the contemporary religious scholars’ responsibility to address this matter and bring Islamic judicial inference into the discussion. In doing so, some of the scholars differ in opinions. This paper aims to offer an introductory survey of the religious viewpoints on this issue, as presented by leading scholars from different schools of thought. This study will also include the judicial principles they have adopted in reaching those opinions. By doing so, this paper will introduce an overview of current and ongoing theological discourse on the matter of organ transplantation and donation.
DV-LOAM: Direct Visual LiDAR Odometry and Mapping
Authors: Wang Wei , Liu Jun , Wang Chenjie , Luo Bin , Zhang Cheng
Published: August 2021

Self-driving cars have experienced rapid development in the past few years, and Simultaneous Localization and Mapping (SLAM) is considered to be their basic capabilities. In this article, we propose a direct vision LiDAR fusion SLAM framework that consists of three modules. Firstly, a two-staged direct visual odometry module, which consists of a frame-to-frame tracking step, and an improved sliding window based thinning step, is proposed to estimate the accurate pose of the camera while maintaining efficiency. Secondly, every time a keyframe is generated, a dynamic objects considered LiDAR mapping module is utilized to refine the pose of the keyframe to obtain higher positioning accuracy and better robustness. Finally, a Parallel Global and Local Search Loop Closure Detection (PGLS-LCD) module that combines visual Bag of Words (BoW) and LiDAR-Iris feature is applied for place recognition to correct the accumulated drift and maintain a globally consistent map. We conducted a large number of experiments on the public dataset and our mobile robot dataset to verify the effectiveness of each module in our framework. Experimental results show that the proposed algorithm achieves more accurate pose estimation than the state-of-the-art methods.
A Comparative Assessment of Machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images
Authors: Kuck Tahisa Neitzel , Sano Edson Eyji , Bispo Polyanna da Conceição , Shiguemori Elcio Hideiti , Silva Filho Paulo Fernando Ferreira , Matricardi Eraldo Aparecido Trondoli
Published: August 2021

The near-real-time detection of selective logging in tropical forests is essential to support actions for reducing CO2 emissions and for monitoring timber extraction from forest concessions in tropical regions. Current operating systems rely on optical data that are constrained by persistent cloud-cover conditions in tropical regions. Synthetic aperture radar data represent an alternative to this technical constraint. This study aimed to evaluate the performance of three machine learning algorithms applied to multitemporal pairs of COSMO-SkyMed images to detect timber exploitation in a forest concession located in the Jamari National Forest, Rondônia State, Brazilian Amazon. The studied algorithms included random forest (RF), AdaBoost (AB), and multilayer perceptron artificial neural network (MLP-ANN). The geographical coordinates (latitude and longitude) of logged trees and the LiDAR point clouds before and after selective logging were used as ground truths. The best results were obtained when the MLP-ANN was applied with 50 neurons in the hidden layer, using the ReLu activation function and SGD weight optimizer, presenting 88% accuracy both for the pair of images used for training (images acquired in June and October) of the network and in the generalization test, applied on a second dataset (images acquired in January and June). This study showed that X-band SAR images processed by applying machine learning techniques can be accurately used for detecting selective logging activities in the Brazilian Amazon.
Applicability of Smoothing Techniques in Generation of Phenological Metrics of Tectona grandis L. Using NDVI Time Series Data
Authors: Malhi Ramandeep Kaur M. , Kiran G. Sandhya , Shah Mangala N. , Mistry Nirav V. , Bhavsar Viral H. , Singh Chandra Prakash , Bhattarcharya Bimal Kumar , Townsend Philip A. , Mohan Shiv
Published: August 2021

Information on phenological metrics of individual plant species is meager. Phenological metrics generation for a specific plant species can prove beneficial if the species is ecologically or economically important. Teak, a dominating tree in most regions of the world has been focused on in the present study due to its multiple benefits. Forecasts on such species can attain a substantial improvement in their productivity. MODIS NDVI time series when subjected to statistical smoothing techniques exhibited good output with Tukey’s smoothing (TS) with a low RMSE of 0.042 compared to single exponential (SE) and double exponential (DE). Phenological metrics, namely, the start of the season (SOS), end of the season (EOS), maximum of the season (MAX), and length of the season (LOS) were generated using Tukey-smoothed MODIS NDVI data for the years 2003–2004 and 2013–2014. Post shifts in SOS and EOS by 14 and 37 days respectively with a preshift of 28 days in MAX were observed in the year 2013–2014. Preshift in MAX was accompanied by an increase in greenness exhibiting increased NDVI value.LOS increased by 24 days in the year 2013–2014, showing an increase in the duration of the season of teak. Dates of these satellite-retrieved phenological occurrences were validated with ground phenological data calculated using crown cover assessment. The present study demonstrated the potential of a spatial approach in the generation of phenometrics for an individual plant species, which is significant in determining productivity or a crucial trophic link for a given region.
A Semi-Empirical Approach to Gas Flow Velocity Measurement by Means of the Thermal Time-of-Flight Method
Authors: Sobczyk Jacek , Rachalski Andrzej , Wodziak Waldemar
Published: August 2021

This paper presents a method of measuring gas flow velocity based on the thermal time-of-flight method. The essence of the solution is an analysis of the time shift and the shape of voltage signals at the transmitter and at a temperature wave detector. The measurements used a probe composed of a wave transmitter and a detector, both in the form of thin tungsten wires. A rectangular signal was used at the wave transmitter. The time-of-flight of the wave was determined on the basis of the time shift of two selected characteristic points of the voltage waveform at the transmitter and the wave detector. To obtain the correct velocity indication, a correction in the form of a simple power function was applied. From the measurements performed, the relative uncertainty of the method was obtained, from approx. 4% of the measured value at an inflow velocity of 6.5 cm/s to 1% for an inflow velocity of 50 cm/s and higher.
Immunomodulatory Activity of Phyllanthus maderaspatensis in LPS-Stimulated Mouse Macrophage RAW 264.7 Cells
Authors: Ilyas Uoorakkottil , Katare Deepshikha P. , Naseef Punnoth Poonkuzhi , Kuruniyan Mohamed Saheer , Elayadeth-Meethal Muhammed , Aeri Vidhu
Published: August 2021

Phyllanthus species (Family Euphorbiaceae) has been used in traditional medicine of several countries as a cure for numerous diseases, including jaundice and hepatitis. This study is an attempt to evaluate the immunomodulatory activity of various fractions, column eluents of ethyl acetate fraction, and their polyphenols. Phyllanthus maderaspatensis were standardized using high-performance liquid chromatography to identify and quantify polyphenols, and purification of polyphenols was carried out using vacuum liquid chromatography. Subsequently, we tested various fractions, column eluents of ethyl acetate fraction, and polyphenols in vitro to assess their impact on nitric oxide (NO) production in LPS-stimulated mouse macrophage RAW 264.7 cells. The ethyl acetate fraction (100 μg mL−1) had a more significant stimulatory effect on LPS-stimulated NO production by the RAW 264.7 cells. We found that the ethyl acetate fraction contains a high amount of catechin, quercetin, ellagic acid kaempferol, and rutin, which are responsible for immunomodulation. The ethyl acetate fraction at concentrations of 25 and 50 μg mL−1 had a significant inhibitory effect and 100 μg mL−1 had a more significant stimulatory effect when compared with the LPS control. The percentage of inhibition by LPS control ranged from zero percentage, kaempferol ranged from 45.4% at 50 μg mL−1 to 41.88% at 100 μg mL−1, catechin ranged from 50% at 50 μg mL−1 to 35.28% at 100 μg mL−1, rutin ranged from 36.2% at 50 μg mL−1 to 47.44% at 100 μg mL−1, gallic acid ranged from 28.4% at 50 μg mL−1 to 50.9% at 100 μg mL−1, ellagic acid ranged from 45.12% at 50 μg mL−1 to 38.64% at 100 μg mL−1, and purified quercetin ranged from 26.2% at 50 μg mL−1to 45.48% at 100 μg mL−1. As NO plays an important role in the immune function, polyphenols’ treatment could modulate several aspects of host defense mechanisms owing to the stimulation of the inducible nitric oxide synthase.
Negative e-WOM Resulting from Political Posts on Social Media: A Case Study of a Small Retailer’s Struggle over Time
Authors: Johnson Jorgensen Jennifer , Sorensen Katelyn
Published: August 2021

Consumers have been advocating for a variety of causes, and in turn, retailers are expressing their political opinions through social-media posts in hopes of aligning with their customers’ views. This study looks at a single case in which customers reacted to a retailer’s political opinion posted on a social media account. Data was collected at the time of the retailer’s political post and up to three years afterward. Content analysis was employed to identify themes from the customer reviews posted, and four themes were identified. Of significance, this study found that customers of a retail store typically merge feelings on the retailer’s product and political post or the retailer’s service and the political post within their social media responses. Thus, a majority of customers in this case were not exclusively focused on battling the political post on social media. Also, a shift in customers’ opinions of the retailer shifted positively over time.
Frail Males on the American Frontier: The Role of Environmental Harshness on Sex Ratios at Birth across a Period of Rapid Industrialization
Authors: Schacht Ryan , Hollingshaus Mike , Hanson Heidi , Macfarlan Shane J. , Tharp Douglas , Bruckner Tim , Smith Ken R.
Published: August 2021

While sex ratios at birth (SRB) have been shown to vary within and across populations, after over a century of research, explanations have remained elusive. A variety of ecological, demographic, economic, and social variables have been evaluated, yet their association with SRB has been equivocal. Here, in an attempt to shed light on this unresolved topic within the literature, we approach the question of what drives variation in SRB using detailed longitudinal data spanning the frontier-era to the early 20th century in a population from the US state of Utah. Using several measures of environmental harshness, we find that fewer boys are born during challenging times. However, these results hold only for the frontier-era and not into a period of rapid economic and infrastructure development. We argue that the mixed state of the literature may result from the impact and frequency of exogenous stressors being dampened due to industrialization.
Effects of a Mentor Program for Coaches on the Coach-Athlete Relationship
Authors: Haugan Jan Arvid , Moen Frode , Østerås Maja Olsen , Stenseng Frode
Published: August 2021

The present study was designed to explore the effects of a one-year coach education program on coaches’ perceptions of their communication skills and co-orientation of their coach-athlete relationships. The study was designed with an experimental group and a control group. The experiment group consisted of 66 coaches (and 295 athletes) who received formal mentoring and the control group consisted of 41 coaches (and 148 athletes) who did not receive any mentoring. Data were analysed using structural equation modelling with autoregressive cross-lagged analysis. Results from the self-reported questionnaire at pre-test and post-test showed that the reciprocity of the coach-athlete relationships was not statistically significant. However, coaches’ experience of change in attention skills from the pre-test to the post-test positively predicted changes in their own perception of the coach-athlete relationship, whereas this association was not significant in the athletes’ perceptions. Moreover, the coach education programme increased coaches’ perception of their relational bonds with their athletes, but this increase did not correspond with an increase in athletes’ perception of the relational bonds with their coach. Practical implications and suggestions for further research are discussed in light of these findings.
Financial Literacy and Exercise Behavior in the United States
Authors: Yuktadatta Pattaphol , Khan Mostafa Saidur Rahim , Kadoya Yoshihiko
Published: August 2021

Lack of exercise is an important public health issue in the United States due to its link to obesity and other health risk factors. Despite several policy interventions, many Americans do not exercise sufficiently. Given recent findings that financial literacy helps to improve people’s rational decision-making ability and encourages people to exercise in Japan, we conduct a similar study for the United States, which has also been experiencing lack of exercise but has a different cultural setting. Culture has important influences on decision making and exercise behavior. This study investigates whether financial literacy is associated with exercise behavior in the United States. We used Osaka University’s 2010 Preference Parameters Study dataset and performed a probit regression analysis to test our hypothesis that financially literate people are likely to exercise more. In support of our hypothesis, we find that Americans with better financial literacy are more likely to exercise at least once a week. Additionally, financial education has a similar association with exercise behavior. Our results suggest that authorities could consider using financial literacy as an alternative policy intervention to promote regular exercise among the American population.
Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities
Authors: D’Amico Alessandro , Russo Martina , Angelosanti Marco , Bernardini Gabriele , Vicari Donatella , Quagliarini Enrico , Currà Edoardo
Published: August 2021

Planning for preparedness, in terms of multi-hazard disasters, involves testing the relevant abilities to mitigate damage and build resilience, through the assessment of deterministic disaster scenarios. Among risk-prone assets, open spaces (OSs) play a significant role in the characterization of the built environment (BE) and represent the relevant urban portion on which to develop multi-risk scenarios. The aim of this paper is to elaborate ideal scenarios—namely, Built Environment Typologies (BETs)—for simulation-based risk assessment actions, considering the safety and resilience of BEs in emergency conditions. The investigation is conducted through the GIS data collection of the common characteristics of OSs (i.e., squares), identified through five parameters considered significant in the scientific literature. These data were processed through a non-hierarchical cluster analysis. The results of the cluster analysis identified five groups of OSs, characterized by specific morphological, functional, and physical characteristics. Combining the outcomes of the cluster analysis with a critical analysis, nine final BETs were identified. The resulting BETs were linked to characteristic risk combinations, according to the analysed parameters. Thus, the multi-risk scenarios identified through the statistical analysis lay the basis for future risk assessments of BEs, based on the peculiar characteristics of Italian towns.
Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems
Authors: Ginidi Ahmed , Ghoneim Sherif M. , Elsayed Abdallah , El-Sehiemy Ragab , Shaheen Abdullah , El-Fergany Attia
Published: August 2021

The extraction of parameters of solar photovoltaic generating systems is a difficult problem because of the complex nonlinear variables of current-voltage and power-voltage. In this article, a new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created. GTO is inspired by gorilla group activities in which numerous strategies are imitated, including migration to an unknown area, moving to other gorillas, migration in the direction of a defined site, following the silverback, and competition for adult females. With numerical analyses of the Kyocera KC200GT PV and STM6-40/36 PV modules for the Single Diode (SD) and Double-Diode (DD), the validity of GTO is illustrated. Furthermore, the developed GTO is compared with the outcomes of recent algorithms in 2020, which are Forensic-Based Investigation Optimizer, Equilibrium Optimizer, Jellyfish Search Optimizer, HEAP Optimizer, Marine Predator Algorithm, and an upgraded MPA. GTO’s efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E−16, and 1E−6, respectively. In addition, validation of GTO for the KC200GT module is demonstrated with diverse irradiations and temperatures where great closeness between the emulated and experimental P-V and I-V curves is achieved under various operating conditions (temperatures and irradiations).
State-of-the-Art Review on IoT Threats and Attacks: Taxonomy, Challenges and Solutions
Authors: Krishna Ritika Raj , Priyadarshini Aanchal , Jha Amitkumar V. , Appasani Bhargav , Srinivasulu Avireni , Bizon Nicu
Published: August 2021

The Internet of Things (IoT) plays a vital role in interconnecting physical and virtual objects that are embedded with sensors, software, and other technologies intending to connect and exchange data with devices and systems around the globe over the Internet. With a multitude of features to offer, IoT is a boon to mankind, but just as two sides of a coin, the technology, with its lack of securing information, may result in a big bane. It is estimated that by the year 2030, there will be nearly 25.44 billion IoT devices connected worldwide. Due to the unprecedented growth, IoT is endangered by numerous attacks, impairments, and misuses due to challenges such as resource limitations, heterogeneity, lack of standardization, architecture, etc. It is known that almost 98% of IoT traffic is not encrypted, exposing confidential and personal information on the network. To implement such a technology in the near future, a comprehensive implementation of security, privacy, authentication, and recovery is required. Therefore, in this paper, the comprehensive taxonomy of security and threats within the IoT paradigm is discussed. We also provide insightful findings, presumptions, and outcomes of the challenges to assist IoT developers to address risks and security flaws for better protection. A five-layer and a seven-layer IoT architecture are presented in addition to the existing three-layer architecture. The communication standards and the protocols, along with the threats and attacks corresponding to these three architectures, are discussed. In addition, the impact of different threats and attacks along with their detection, mitigation, and prevention are comprehensively presented. The state-of-the-art solutions to enhance security features in IoT devices are proposed based on Blockchain (BC) technology, Fog Computing (FC), Edge Computing (EC), and Machine Learning (ML), along with some open research problems.
A di/dt Detection Circuit for DC Unidirectional Breaker Based on Inductor Transient Behaviour
Authors: Vázquez Jeziel , Rodriguez Elias J. J. , Arau Jaime , Vázquez Nimrod
Published: August 2021

In this paper, a di/dt detection circuit for DC breaker applications is proposed to provide faster short-circuit and overcurrent fault detection, where DC breakers are required to be designed for unidirectional fault current conditions, which is a challenge regarding DC microgrid applications due to some associated problems such as long periods of fault interruption, complex circuit structure, and low reliability. The proposal, which is based on measurement of di/dt, can detect fault current conditions for different distances from the point of failure, and is suitable to operation in both islanding and grid-connected conditions. The proposed circuit was studied theoretically and experimentally in steady state, as well as under load changes and short circuit conditions to ensure proper operation, making this solution a fast current fault detection solution, which is a significant advantage and requirement in DC microgrid applications.
Drivers of Proactive Environmental Strategies: Evidence from the Pharmaceutical Industry of Asian Economies
Authors: Ahmed Rizwan Raheem , Kyriakopoulos Grigorios L. , Streimikiene Dalia , Streimikis Justas
Published: August 2021

The objective of the undertaken study is to investigate the association between proactive environmental strategy (PES) and its determinants, such as planning and organizational practices (POP) and communicational practices on sustainable development through the operating and financial performances of the pharmaceutical sectors of south Asian countries. Moreover, we examine this relationship through the eco-innovations as a meditator and technological advances as a moderator. We developed a modified conceptual model and questionnaire and verified by 856 responses from the region’s pharmaceutical sectors. We have tested our hypothesized research model and hypotheses through SEM-based modeling. The findings confirm that proactive environmental strategy and its determinants, for instance, organization and planning practices, operating practices, and communicational practices, have a positive and significant influence on pharmaceutical firms’ sustainable development through operational and financial performance. The findings further show the substantial role in eco-innovation as a mediator and technological advances as a moderator on the sustainable development in this relationship. Subsequently, eco-innovation and technological advances lessen ecological hazards and increase companies’ functioning. Therefore, the undertaken study demonstrated and concurrently ascertained towards sustainable development of environmental and economic leaders. The practical implications are equally important for every stakeholder, such as the community, policymakers, companies, and regulatory agencies concerned with fostering eco-friendly controlling exercises.
Social Involvement of Polish Family Businesses
Authors: Bielawska Aurelia
Published: August 2021

Social involvement of enterprises, i.e., sharing wealth with those in need, can be spoken of only in the case of owner-managed family firms (FB). These companies account for two-thirds of all enterprises in the global economy; they contribute to the stability, development, and continuity of the existence of the economies of many countries. However, the sustainability of the existence of individual FBs is often threatened. Social engagement of owners and preparation of successors are the appropriate retort as they affect the transgenerational sustainability of these enterprises. The purpose of this study is to identify the causes, scope, forms, and beneficiaries of social engagement of Polish FBs. The study uses the Delphi method implemented in three stages: (1) selection of experts; (2) collection of information; and (3) development and interpretation of research results in the context of adopted research questions, research objective, and research hypothesis. The results of the study confirm that FBs make an important contribution to sustainable social development at the micro level. The social engagement of FBs brings benefits to both beneficiaries and donors, responds to genuinely existing needs, and supports the cross-generational sustainability of companies.
The Valuation of Ecosystem Services in the Venice Lagoon: A Multicriteria Approach
Authors: D’Alpaos Chiara , D’Alpaos Andrea
Published: August 2021

Coastal ecosystems are among the most economically valuable and highly threatened on Earth; they provide valuable ecosystem services (ESs) but are severely exposed to climate changes and human pressure. Although the preservation of coastal ecosystems is of the utmost importance, it is often sub-optimally pursued by Governments and Societies because of the high costs involved. We consider salt-marsh ecosystems in the Venice Lagoon as an example of a threatened landscape, calling for innovative, integrated management strategies, and propose an application-driven methodological framework to support policymakers in the identification of cost-effective incentive policies to ecosystem preservation. By combining group decision-making and Value-Focused-Thinking approaches, we provide a multiple-criteria decision model, based on pairwise comparisons, to identify which ESs are top-priority policy targets according to a cost-effective perspective. We implemented an online Delphi survey process and interviewed a pool of experts who identified “recreation and tourism”, “coastal protection from flooding”, “carbon storage”, “biodiversity and landscape”, and “nursery habitats for fisheries” as the five most relevant ESs for the Venice Lagoon taking into consideration the Environmental, Economic, and Social perspectives. Our results suggest that the Environmental perspective is the most important criteria, whereas “biodiversity and landscape” is acknowledged as the most important ES.
Floral and Faunal Diversity in Sri Lankan Mangrove Forests: A Systematic Review
Authors: Arulnayagam Ahalya , Khim Jong-Seong , Park Jinsoon
Published: August 2021

The paper gives a historical overview, and a summary of key findings from 70 previously published research papers giving scientific data over the years from 1980 to 2019. They concern the flora and/or fauna in the mangrove forests along the Sri Lankan coast, addressing diversity, taxonomy, distribution, and ecological interactions. A total of 28 mangrove floral species from 13 plant families have been reported so far. Similarly, faunal diversity studies have reported 99 invertebrates, dominated by Arthropoda (n = 55) and Mollusca (n = 26), and 214 vertebrates comprising Pisces (n = 112), Aves (n = 72), Reptilia (n = 13) and Amphibia (n = 2). Most studies have been concentrated on the Southwestern coast (nflora = 20, nfauna = 6). Negombo has been a hotspot for mangrove research, with a higher number of studies (nflora = 11, nfauna = 5). The majority of the mangrove studies were focused on mangrove floral diversity and taxonomy and were conducted over recent years (2010–2019). Scientific data on mangrove fauna is restricted to a certain geographical extent. This paper intends to identify the research gaps in the field of Sri Lankan mangroves regarding various aspects and suggests advancement in future studies. Overall, outputs from the present study would be helpful for upcoming researchers to focus more on filling the gaps in knowledge.
Development of a Pre-Verified EPD Tool with Process Simulation Capabilities for the Aggregates Industry
Authors: Papadopoulou Panagiota , Peñaloza Diego , Asbjörnsson Gauti , Hulthén Erik , Evertsson Magnus
Published: August 2021

This paper has two aims: to describe the current status and challenges of aggregates producers regarding the analysis and communication of environmental information of their products and to present a layout of a pre-verified tool with simulation capabilities that could assist aggregates producers with their environmental goals. Semi-structured interviews were conducted with three Swedish aggregates producers, an aggregates customer, and an expert agency. Additionally, published Environmental Product Declarations (EPDs) for aggregates and the EN 15804:2012 + A2:2019 were studied to reveal current practices and upcoming changes due to the updated standard. The synergies with process simulations were explored as a step towards using the EPD framework for continuous improvement of aggregates production. The interviews indicated that the main challenge for aggregates producers is the lack of easily available plant data for environmental calculations and clearly defined environmental goals at each plant. The proposed tool uses a common process flowsheet for both EPDs and simulations and has a pre-defined LCA module. The use of such a tool is expected to raise the environmental interest at aggregates plants and improve collaboration with LCA experts. Since the analysis is based on the Swedish aggregates market, the interview results are not directly generalizable to the European context.
Post-Processing of High Formwork Monitoring Data Based on the Back Propagation Neural Networks Model and the Autoregressive—Moving-Average Model
Authors: Yang Yang , Yang Lin , Yao Gang
Published: August 2021

Many high formwork systems are currently equipped with health monitoring systems, and the analysis of the data obtained can determine whether high formwork is a hazard. Therefore, the post-processing of monitoring data has become an issue of widespread concern. In this paper, we discussed the fitting effect of the symmetrical high formwork monitoring data using the autoregressive–moving-average (ARMA) model and the back propagation neural networks (BPNN) combined model to process. In the actual project, the symmetry of the high formwork system allows the analysis of local monitoring results to be well extended to the whole. For the establishment of the ARMA model, the accurate judgment of the model order has a significant impact. In this paper, back propagation neural networks (BPNN) are used to simulate the ARMA process. The order of the ARMA model is estimated by determining the optimal neural network structure, which is suitable for linear or nonlinear sequences. We validated this approach from the ARMA model data simulated in Monte Carlo and compared it with the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The length of the sequence, the coefficients and the order of the ARMA model are considered as factors that influence the judgment effect. Under different conditions, the BPNN always shows an accuracy rate of more than 90%, while the BIC only has a higher accuracy rate when the model order is low and the judgment efficiency of the AIC is below 50%. Finally, the proposed method successfully modeled the stress sequence and obtained the stress change trend. Compared with AIC and BIC, the efficiency of the processing time series is increased by about 50% when an order is obtained by BPNN.