bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study of Race Pacing in the Running Leg of the Japan University Triathlon Championship
Authors: Inai Yuto , Aoyagi Atsushi , Ishikura Keisuke , Namatame Hayate , Nabekura Yoshiharu , Akama Takao
Published: June 2022

Choosing an appropriate pacing strategy is important for good triathlon performance. In the Japan Student Triathlon Championship held in 2020, the men's category was divided into two groups, which was a different racing style from the previous races that all athletes start at the same time. It is highly likely that the performance level will vary as grouping was performed according to the competence of each player. The aim of this study was to understand the relationship of the total time and time of each leg between the superior performance group and the inferior performance group, as well as the difference in pacing during running in participants of the 2020 Japan University Triathlon Championship Watarase Competition, which was held under unconventional conditions. We analyzed 153 male athletes (Group A: 77; Group B: 76) who completed the race. The total race time, leg time, and average speed in each leg and its variation coefficient were evaluated based on the official results of the competition and footage recorded during the race. The results showed that the total time and leg time for each leg were significantly shorter in Group A compared to those in Group B (p < 0.05). In both groups, the Lap 4 run was significantly slower than those of Laps 1–3 (p < 0.05), while there was no significant difference in the running speed to average speed ratio across all laps between the groups (p < 0.05). Thus, there was a difference in running speed between the groups, but no significant difference in pacing. The results of this study serve as basic data for examining superior pacing strategies, although further studies on a wide range of competition levels are necessary.
Differences in Upper-Body Peak Force and Rate of Force Development in Male Intermediate, Advanced, and Elite Sport Climbers
Authors: Vereide Vegard , Andersen Vidar , Hermans Espen , Kalland Jarle , Saeterbakken Atle Hole , Stien Nicolay
Published: June 2022

The aim of this study was to investigate the difference in climbing-specific strength and rate of force development (RFD) between intermediate, advanced, and elite male sport climbers. Seventy-eight male climbers were recruited and divided into groups based on the International Rock Climbing Research Association (IRCRA) numerical (1–32) grading system (intermediate (10–17) group (IG; n = 28)), advanced (18–23) group (AG; n = 30) and elite (24–27) group (EG; n = 20). Peak force (Fpeak) and average force (Favg) were measured while performing an isometric pull-up on a 23 mm thick campus rung. RFD was calculated from the onset of force to maximal peak force. The elite group performed better in all test parameters than the advanced (Fpeak: 39.7%, ES = 1.40, p < 0.001; Favg: 45.6%, ES = 4.60, p < 0.001; RFD: 74.9%, ES = 1.42, p = 0.001) and intermediate group (Fpeak: 95.7%, ES = 2.54, p < 0.001, Favg: 131.1%, ES = 5.84, p < 0.001, RFD: 154.4%, ES = 2.21, p = 0.001). Moreover, the advanced group demonstrated greater Fpeak (40.1%, ES = 1.24, p < 0.001), Favg (59.1%, ES = 1.57, p < 0.001) and RFD (45.5%, ES = 1.42, p = 0.046), than the intermediate group. Finally, climbing performance displayed strong correlations with Fpeak (r = 0.73, p < 0.001) and Favg (r = 0.77, p < 0.001), and a moderate correlation with RFD (r = 0.64, p < 0.001). In conclusion, maximal force and RFD in a climbing specific test are greater among climbers on higher performance levels. Independent of climbing level there is a moderate-to-strong association between maximal and rapid force production and climbing performance.
Detection and Quantification of ctDNA for Longitudinal Monitoring of Treatment in Non-Small Cell Lung Cancer Patients Using a Universal Mutant Detection Assay by Denaturing Capillary Electrophoresis
Authors: Benesova Lucie , Ptackova Renata , Halkova Tereza , Semyakina Anastasiya , Svaton Martin , Fiala Ondrej , Pesek Milos , Minarik Marek
Published: June 2022

Background: Observation of anticancer therapy effect by monitoring of minimal residual disease (MRD) is becoming an important tool in management of non-small cell lung cancer (NSCLC). The approach is based on periodic detection and quantification of tumor-specific somatic DNA mutation in circulating tumor DNA (ctDNA) extracted from patient plasma. For such repetitive testing, complex liquid-biopsy techniques relying on ultra-deep NGS sequencing are impractical. There are other, cost-effective, methods for ctDNA analysis, typically based on quantitative PCR or digital PCR, which are applicable for detecting specific individual mutations in hotspots. While such methods are routinely used in NSCLC therapy prediction, however, extension to cover broader spectrum of mutations (e.g., in tumor suppressor genes) is required for universal longitudinal MRD monitoring.

Methods: For a set of tissue samples from 81 NSCLC patients we have applied a denaturing capillary electrophoresis (DCE) for initial detection of somatic mutations within 8 predesigned PCR amplicons covering oncogenes and tumor suppressor genes. Mutation-negative samples were then subjected to a large panel NGS sequencing. For each patient mutation found in tissue was then traced over time in ctDNA by DCE.

Results: In total we have detected a somatic mutation in tissue of 63 patients. For those we have then prospectively analyzed ctDNA from collected plasma samples over a period of up to 2 years. The dynamics of ctDNA during the initial chemotherapy therapy cycles as well as in the long-term follow-up matched the clinically observed response.

Conclusion: Detection and quantification of tumor-specific mutations in ctDNA represents a viable complement to MRD monitoring during therapy of NSCLC patients. The presented approach relying on initial tissue mutation detection by DCE combined with NGS and a subsequent ctDNA mutation testing by DCE only represents a cost-effective approach for its routine implementation.
Quantum Computing Approaches for Mission Covering Optimization
Authors: Cutugno Massimiliano , Giani Annarita , Alsing Paul , Wessing Laura , Schnore Austar
Published: June 2022

Quantum computing has the potential to revolutionize the way hard computational problems are solved in terms of speed and accuracy. Quantum hardware is an active area of research and different hardware platforms are being developed. Quantum algorithms target each hardware implementation and bring advantages to specific applications. The focus of this paper is to compare how well quantum annealing techniques and the QAOA models constrained optimization problems. As a use case, a constrained optimization problem called mission covering optimization is used. Quantum annealing is implemented in adiabatic hardware such as D-Wave, and QAOA is implemented in gate-based hardware such as IBM. This effort provides results in terms of cost, timing, constraints held, and qubits used.
Editorial for Special Issue “Alternatives to Antibiotics: Bacteriocins and Antimicrobial Peptides”
Authors: Neves Joao V.
Published: June 2022

The discovery of penicillin in 1928 by Sir Alexander Fleming, and its later introduction as an antibiotic in the early 1940s, was a gamechanger for the entire medical field [...]
Frequency Conversion Interface towards Quantum Network: From Atomic Transition Line to Fiber Optical Communication Band
Authors: Li Shujing , Bao Jiaxin , Deng Qiqi , Chen Lirong , Wang Hai
Published: June 2022

Quantum repeater is a key component of quantum network, and atomic memory is one of the important candidates for constructing quantum repeater. However, the atomic transition wavelength is not suitable for long-distance transmission in optical fiber. To bridge atomic memory and fiber communication, we demonstrate a frequency conversion interface from rubidium D1 line (795 nm) to the optical communication L-band (1621 nm) based on difference frequency generation. To reduce broadband noise of spontaneous Raman scattering caused by strong pumping light, we use a combination of two cascaded etalons and a Fabry-Perot cavity with low finesse to narrow the noise bandwidth to 11.7 MHz. The filtering system is built by common optical elements and is easy to use; it can be widely applied in frequency conversion process. We show that the signal-noise ratio of the converted field is good enough to reduce the input photon number below 1 under the condition of low external device conversion efficiency (0.51%) and large duration of input pulse (250 ns). The demonstrated frequency conversion interface has important potential application in quantum networks.
Lowering the Temperature to Increase Heat Equity: A Multi-Scale Evaluation of Nature-Based Solutions in Toronto, Ontario, Canada
Authors: Anderson Vidya , Gough William A. , Zgela Matej , Milosevic Dragan , Dunjic Jelena
Published: June 2022

Nature-based solutions (NbS) present an opportunity to reduce rising temperatures and the urban heat island effect. A multi-scale study in Toronto, Ontario, Canada, evaluates the effect of NbS on air and land surface temperature through two field campaigns at the micro and meso scales, using in situ measurements and LANDSAT imagery. This research demonstrates that the application of NbS in the form of green infrastructure has a beneficial impact on urban climate regimes with measurable reductions in air and land surface temperatures. Broad implementation of green infrastructure is a sustainable solution to improve the urban climate, enhance heat and greenspace equity, and increase resilience.
Effects of Manure Removal Frequencies and Deodorants on Ammonia and GHG Concentrations in Livestock House
Authors: Zhang Xia , Li Jian , Shao Le , Huan Hailin , Qin Feng , Zhai Pin , Yang Jie , Pan Xiaoqing
Published: June 2022

In order to mitigate the concentration of NH3 and greenhouse gases (GHGs: CO2, N2O, CH4) in livestock houses, two experiments, one determining the ideal manure removal frequency by cleaning the feces from a livestock house once, twice, three, and four times a day, and one in which microbial deodorant and VenaZn deodorant were sprayed, were conducted in a rabbit breeding house. The NH3, CO2, N2O, and CH4 concentrations were monitored continuously with an Innova 1512 photoacoustic gas monitor during the experiments. The results were as follows: the manure removal frequency had a significant impact on the average concentrations of NH3, CO2, and CH4 in the rabbit house. Cleaning the feces in the rabbit breeding house two to three times a day significantly reduced the NH3 concentration, and, on the contrary, cleaning the feces four times a day increased the NH3 concentration in rabbit house; increasing the manure removal frequency significantly reduced the concentrations of CO2 and CH4 in the rabbit house. Considering the average concentrations of NH3, CO2, N2O, and CH4 in the rabbit house and economic cost, it was better to remove feces twice a day. The average NH3 and CO2 concentration declined significantly within 3 days in the summer and winter; the N2O concentration declined within 3 days in the summer but did not decline in the winter; and there was no effect on the CH4 concentration in the summer and in the winter after spraying the rabbit house with microbial deodorant. Therefore, it was better to spray microbial deodorant twice a week on Monday and Thursday to reduce the NH3, CO2, and N2O concentrations in rabbit houses. The NH3, CO2, N2O, and CH4 concentrations first showed a decreasing trend and then an increasing trend over 5 days in the summer and 7 days in the winter after VenaZn deodorant was sprayed in the rabbit house, and the NH3, CO2, N2O, and CH4 concentrations on day 3 and day 4 were significantly lower than they were on the other days.
3-Bromo-Isoxazoline Derivatives Inhibit GAPDH Enzyme in PDAC Cells Triggering Autophagy and Apoptotic Cell Death
Authors: Pacchiana Raffaella , Mullappilly Nidula , Pinto Andrea , Bova Stefania , Forciniti Stefania , Cullia Gregorio , Dalla Pozza Elisa , Bottani Emanuela , Decimo Ilaria , Dando Ilaria , Bruno Stefano , Conti Paola , Donadelli Massimo
Published: June 2022

A growing interest in the study of aerobic glycolysis as a key pathway for cancer-cell energetic metabolism, favouring tumour progression and invasion, has led to consider GAPDH as an effective drug target to specifically hit cancer cells. In this study, we have investigated a panel of 3-bromo-isoxazoline derivatives based on previously identified inhibitors of Plasmodium falciparum GAPDH (PfGAPDH). The compounds are active, to a different extent, as inhibitors of human-recombinant GAPDH. They showed an antiproliferative effect on pancreatic ductal-adenocarcinoma cells (PDAC) and pancreatic-cancer stem cells (CSCs), and among them two promising compounds were selected to be tested in vivo. Interestingly, these compounds were not effective in fibroblasts. The AXP-3019 derivative was able to block PDAC-cell growth in mice xenograft without apparent toxicity. The overall results support the assumption that selective inhibition of the glycolytic pathway, by targeting GAPDH, is an effective therapy for pancreatic cancer and that 3-bromo-isoxazoline derivatives represent a new class of anti-cancer compounds targeting glycolysis.
Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of the Literature
Authors: Melillo Antonio , Chirico Andrea , De Pietro Giuseppe , Gallo Luigi , Caggianese Giuseppe , Barone Daniela , De Laurentiis Michelino , Giordano Antonio
Published: June 2022

Rehabilitation plays a crucial role in cancer care, as the functioning of cancer survivors is frequently compromised by impairments that can result from the disease itself but also from the long-term sequelae of the treatment. Nevertheless, the current literature shows that only a minority of patients receive physical and/or cognitive rehabilitation. This lack of rehabilitative care is a consequence of many factors, one of which includes the transportation issues linked to disability that limit the patient’s access to rehabilitation facilities. The recent COVID-19 pandemic has further shown the benefits of improving telemedicine and home-based rehabilitative interventions to facilitate the delivery of rehabilitation programs when attendance at healthcare facilities is an obstacle. In recent years, researchers have been investigating the benefits of the application of virtual reality to rehabilitation. Virtual reality is shown to improve adherence and training intensity through gamification, allow the replication of real-life scenarios, and stimulate patients in a multimodal manner. In our present work, we offer an overview of the present literature on virtual reality-implemented cancer rehabilitation. The existence of wide margins for technological development allows us to expect further improvements, but more randomized controlled trials are needed to confirm the hypothesis that VRR may improve adherence rates and facilitate telerehabilitation.
The Novel Immune Checkpoint GPR56 Is Expressed on Tumor-Infiltrating Lymphocytes and Selectively Upregulated upon TCR Signaling
Authors: Bilemjian Vrouyr , Vlaming Martijn R. , Álvarez Freile Jimena , Huls Gerwin , De Bruyn Marco , Bremer Edwin
Published: June 2022

High levels of tumor-infiltrating lymphocytes (TILs) in the tumor microenvironment (TME) are associated with a survival benefit in various cancer types and the targeted (re)activation of TILs is an attractive therapeutic anti-cancer approach that yields curative responses. However, current T cell targeting strategies directed at known immune checkpoints have not increased objective response rates for all cancer types, including for epithelial ovarian cancer (EOC). For this reason, the identification of new immune checkpoints that regulate T cell immunity remains of great interest. One yet largely uninvestigated checkpoint of potential interest is the G protein-coupled receptor 56 (GPR56), which belongs to the adhesion GPCR family. GPR56 was originally reported to function in cerebral cortical development and in anti-depressant response, but also in cancer. Recently, GPR56 was identified as an inhibitory receptor expressed on human NK cells that by cis-interaction with the tetraspanin CD81 attenuated the cytotoxic activity of NK cells. This NK cell checkpoint could be blocked by an GPR56 antibody, leading to increased cytotoxicity. Interestingly, GPR56 expression has also been reported on cytokine producing memory CD8 T lymphocytes and may thus represent a T cell checkpoint as well. Here, GPR56 mRNA expression was characterized in the context of TILs, with GPR56 expression being detected predominantly in tumor infiltrating CD8 T cells with a cytotoxic and (pre-)exhausted phenotype. In accordance with this mRNA profile, TILs from ovarian cancer patients expressed GPR56 primarily within the effector memory and central memory T cell subsets. On T cells from healthy donors the expression was limited to effector memory and terminally differentiated T cells. Notably, GPR56 expression further increased on TILs upon T cell receptor (TCR)-mediated stimulation in co-cultures with cancer cells, whereas GPR56 expression on healthy primary human T cells did not. Further, the ectopic expression of GPR56 significantly reduced the migration of GPR56-positive T cells. Taken together, GPR56 is a potential immune-checkpoint in EOC found on (pre-)exhausted CD8 TILs that may regulate migratory behavior.
How Many Private Data Are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study
Authors: Son Jeong Woo , Hong Ji Young , Kim Yoon , Kim Woo Jin , Shin Dae-Yong , Choi Hyun-Soo , Bak So Hyeon , Moon Kyoung Min
Published: June 2022

Early detection of lung nodules is essential for preventing lung cancer. However, the number of radiologists who can diagnose lung nodules is limited, and considerable effort and time are required. To address this problem, researchers are investigating the automation of deep-learning-based lung nodule detection. However, deep learning requires large amounts of data, which can be difficult to collect. Therefore, data collection should be optimized to facilitate experiments at the beginning of lung nodule detection studies. We collected chest computed tomography scans from 515 patients with lung nodules from three hospitals and high-quality lung nodule annotations reviewed by radiologists. We conducted several experiments using the collected datasets and publicly available data from LUNA16. The object detection model, YOLOX was used in the lung nodule detection experiment. Similar or better performance was obtained when training the model with the collected data rather than LUNA16 with large amounts of data. We also show that weight transfer learning from pre-trained open data is very useful when it is difficult to collect large amounts of data. Good performance can otherwise be expected when reaching more than 100 patients. This study offers valuable insights for guiding data collection in lung nodules studies in the future.
Ventilation Systems in Wetland Plant Species
Authors: Björn Lars Olof , Middleton Beth A. , Germ Mateja , Gaberščik Alenka
Published: June 2022

Molecular oxygen and carbon dioxide may be limited for aquatic plants, but they have various mechanisms for acquiring these gases from the atmosphere, soil, or metabolic processes. The most common adaptations of aquatic plants involve various aerenchymatic structures, which occur in various organs, and enable the throughflow of gases. These gases can be transferred in emergent plants by molecular diffusion, pressurized gas flow, and Venturi-induced convection. In submerged species, the direct exchange of gases between submerged above-ground tissues and water occurs, as well as the transfer of gases via aerenchyma. Photosynthetic O2 streams to the rhizosphere, while soil CO2 streams towards leaves where it may be used for photosynthesis. In floating-leaved plants anchored in the anoxic sediment, two strategies have developed. In water lilies, air enters through the stomata of young leaves, and streams through channels towards rhizomes and roots, and back through older leaves, while in lotus, two-way flow in separate air canals in the petioles occurs. In Nypa Steck palm, aeration takes place via leaf bases with lenticels. Mangroves solve the problem of oxygen shortage with root structures such as pneumatophores, knee roots, and stilt roots. Some grasses have layers of air on hydrophobic leaf surfaces, which can improve the exchange of gases during submergence. Air spaces in wetland species also facilitate the release of greenhouse gases, with CH4 and N2O released from anoxic soil, which has important implications for global warming.
Soil Fungal Community and Potential Function in Different Forest Ecosystems
Authors: Li Xiaoli , Qu Zhaolei , Zhang Yuemei , Ge Yan , Sun Hui
Published: June 2022

Forests acting as carbon storage and sequestration play an essential role in the global nutrient cycle, in which fungi are active participants. The forests cover almost all regions from the boreal, temperate to the subtropical and tropical forests. The relative proportion of carbon sequestrated in forest soil varies from approximately 85% of the terrestrial carbon pool in boreal forests to 60% in temperate forests and to 50% in tropical rainforests. Fungi as decomposers of organic matter and root-associated mediators of belowground carbon transport and respiration are the key drivers of the carbon cycle in forests. For example, saprophytic fungi can degrade soil organic matter to release carbon into the soil, whereas symbiotic fungi could form symbiosis with plants, through which plant and fungi can benefit each other with nutrient flow. Given the importance of fungi in the ecological environment, this paper summarizes the importance of soil fungi in terms of fungal diversity and function in forest ecosystems.
Diversity of Freshwater Calanoid Copepods (Crustacea: Copepoda: Calanoida) in Southern Vietnam with an Updated Checklist for the Country
Authors: Boonmak Phuttaphannee , Sanoamuang Laorsri
Published: June 2022

The diversity of freshwater calanoid copepods from different habitats in Vietnam is investigated based on our findings from a field expedition in 2012–2013 and literature reviews. We collected 160 samples from 87 sites, including lakes, ponds, roadside canals, rivers, and rice fields in eight provinces of southern Vietnam. A total of 13 species belonging to eight genera and three families were recorded. Among these, four were recorded for the first time in Vietnam (Mongolodiaptomus malaindosinensis, Mongolodiaptomus mekongensis, Vietodiaptomus blachei, and Pseudodiaptomus siamensis). One unidentified taxon (Tropodiaptomus sp.) probably belongs to an undescribed species. Both Eodiaptomusdraconisignivomi and M. malaindosinensis were the most frequently encountered species (28.74% of the sampled sites), followed by Mongolodiaptomus botulifer (24.14%), while Neodiaptomus yangtsekiangensis, Tropodiaptomusoryzanus, and Tropodiaptomus sp. are rare species found in a single locality. To date, 40 calanoid species (33 in the family Diaptomidae) have been recorded from Vietnam, and an updated list is presented. Seven species are potentially endemic to Vietnam. At the same sampling dates, the species richness of the calanoids was a range of 1–5 species per locality. The results of the Canonical Correspondence Analysis showed that pH and conductivity tended to be positively related to the calanoid distribution.
The Development of Virtual Worlds as a Tool for Providing Virtual Grocery Store Tours
Authors: Lanningham-Foster Lorraine , Wolff Maren , Woodall Shelley , Hollis James H.
Published: June 2022

Poor dietary choices are a leading cause of preventable chronic disease. Consequently, improving dietary choices is a key public health goal. While several approaches are available to influence dietary choices, consumer education is likely a key to improving the diet. One approach to educating consumers is to provide grocery store tours where consumers are provided with nutrition education where purchasing decisions are often made. At this time, there has been limited research to show the effectiveness of this approach or to develop best practices. A possible barrier to innovation in this area concerns the difficulty to get access to grocery stores to conduct tours. Moreover, these barriers may also hamper research efforts to identify best practices. A possible alternative approach is to create virtual worlds where grocery store tours can be conducted remotely. This present manuscript describes an approach to developing virtual grocery stores as a method for providing nutrition education with a description of the design possibilities.
Distance-Based Formation Control for Fixed-Wing UAVs with Input Constraints: A Low Gain Method
Authors: Yan Jiarun , Yu Yangguang , Wang Xiangke
Published: June 2022

Due to the nonlinear and asymmetric input constraints of the fixed-wing UAVs, it is a challenging task to design controllers for the fixed-wing UAV formation control. Distance-based formation control does not require global positions as well as the alignment of coordinates, which brings in great convenience for designing a distributed control law. Motivated by the facts mentioned above, in this paper, the problem of distance-based formation of fixed-wing UAVs with input constraints is studied. A low-gain formation controller, which is a generalized gradient controller of the potential function, is proposed. The desired formation can be achieved by the designed controller under the input constraints of the fixed-wing UAVs with proven stability. Finally, the effectiveness of the proposed method is verified by the numerical simulation and the semi-physical simulation.
SR-DeblurUGAN: An End-to-End Super-Resolution and Deblurring Model with High Performance
Authors: Xiao Yuzhen , Zhang Jidong , Chen Wei , Wang Yichen , You Jianing , Wang Qing
Published: June 2022

In this paper, we consider the difference in the abstraction level of features extracted by different perceptual layers and use a weighted perceptual loss-based generative adversarial network to deblur the UAV images, which removes the blur and restores the texture details of the images well. The perceptual loss is used as an objective evaluation index for training process monitoring and model selection, which eliminates the need for extensive manual comparison of the deblurring effect and facilitates model selection. The UNet jump connection structure facilitates the transfer of features across layers in the network, reduces the learning difficulty of the generator, and improves the stability of adversarial training.
Power-Modified Kies-Exponential Distribution: Properties, Classical and Bayesian Inference with an Application to Engineering Data
Authors: Afify Ahmed Z. , Gemeay Ahmed M. , Alfaer Nada M. , Cordeiro Gauss M. , Hafez Eslam H.
Published: June 2022

We introduce here a new distribution called the power-modified Kies-exponential (PMKE) distribution and derive some of its mathematical properties. Its hazard function can be bathtub-shaped, increasing, or decreasing. Its parameters are estimated by seven classical methods. Further, Bayesian estimation, under square error, general entropy, and Linex loss functions are adopted to estimate the parameters. Simulation results are provided to investigate the behavior of these estimators. The estimation methods are sorted, based on partial and overall ranks, to determine the best estimation approach for the model parameters. The proposed distribution can be used to model a real-life turbocharger dataset, as compared with 24 extensions of the exponential distribution.
Formalising the Pathways to Life Using Assembly Spaces
Authors: Marshall Stuart M. , Moore Douglas G. , Murray Alastair R. G. , Walker Sara I. , Cronin Leroy
Published: June 2022

Assembly theory (referred to in prior works as pathway assembly) has been developed to explore the extrinsic information required to distinguish a given object from a random ensemble. In prior work, we explored the key concepts relating to deconstructing an object into its irreducible parts and then evaluating the minimum number of steps required to rebuild it, allowing for the reuse of constructed sub-objects. We have also explored the application of this approach to molecules, as molecular assembly, and how molecular assembly can be inferred experimentally and used for life detection. In this article, we formalise the core assembly concepts mathematically in terms of assembly spaces and related concepts and determine bounds on the assembly index. We explore examples of constructing assembly spaces for mathematical and physical objects and propose that objects with a high assembly index can be uniquely identified as those that must have been produced using directed biological or technological processes rather than purely random processes, thereby defining a new scale of aliveness. We think this approach is needed to help identify the new physical and chemical laws needed to understand what life is, by quantifying what life does.
Efficient Entropic Security with Joint Compression and Encryption Approach Based on Compressed Sensing with Multiple Chaotic Systems
Authors: Wang Jingya , Song Xianhua , El-Latif Ahmed A. Abd
Published: June 2022

This paper puts forward a new algorithm that utilizes compressed sensing and two chaotic systems to complete image compression and encryption concurrently. First, the hash function was utilized to obtain the initial parameters of two chaotic maps, which were the 2D-SLIM and 2D-SCLMS maps, respectively. Second, a sparse coefficient matrix was transformed from the plain image through discrete wavelet transform. In addition, one of the chaotic sequences created by 2D-SCLMS system performed pixel transformation on the sparse coefficient matrix. The other chaotic sequences created by 2D-SLIM were utilized to generate a measurement matrix and perform compressed sensing operations. Subsequently, the matrix rotation was combined with row scrambling and column scrambling, respectively. Finally, the bit-cycle operation and the matrix double XOR were implemented to acquire the ciphertext image. Simulation experiment analysis showed that the compressed encryption scheme has advantages in compression performance, key space, and sensitivity, and is resistant to statistical attacks, violent attacks, and noise attacks.
On the Solutions of a Quadratic Integral Equation of the Urysohn Type of Fractional Variable Order
Authors: Benkerrouche Amar , Souid Mohammed Said , Stamov Gani , Stamova Ivanka
Published: June 2022

In this manuscript we introduce a quadratic integral equation of the Urysohn type of fractional variable order. The existence and uniqueness of solutions of the proposed fractional model are studied by transforming it into an integral equation of fractional constant order. The obtained new results are based on the Schauder’s fixed-point theorem and the Banach contraction principle with the help of piece-wise constant functions. Although the used methods are very powerful, they are not applied to the quadratic integral equation of the Urysohn type of fractional variable order. With this research we extend the applicability of these techniques to the introduced the Urysohn type model of fractional variable order. The applicability of the new results are demonstrated by providing Ulam–Hyers stability criteria and an example. Moreover, the presented results lead to future progress and expansion of the theory of fractional-order models, as well as of the concept of entropy in the framework of fractional calculus. Further, an example is constructed to demonstrate the reasonableness and effectiveness of the observed results.
Correction: Zheng et al. Upper-Ocean Processes Controlling the Near-Surface Temperature in the Western Gulf of Mexico from a Multidecadal Numerical Simulation. Earth 2022, 3, 493–521
Authors: Zheng Yangxing , Bourassa Mark A. , Dukhovskoy Dmitry , Ali M. M.
Published: June 2022

Dmitry Dukhovskoy was not included as an author in the original publication [...]
Whether They Return: Modeling Outdoor Recreation Behaviors, Decision Making, and Intention-to-Return in Congressionally Designated Wilderness
Authors: Ferguson Michael D. , Caraynoff Alexander R. , Ferguson Lauren A. , Barcelona Robert J. , Evensen Darrick , Knox Holly , Pytlik Steven , Grosz Donna
Published: June 2022

Visitation to parks and protected areas (PPAs) has become increasingly widespread in the United States. This increased visitation is especially concerning within congressionally designated wilderness areas where federal agencies are tasked with the dual mandate of preserving wilderness character while simultaneously providing high-quality outdoor recreation experiences. This study investigated the influence of social, situational, and ecological factors on outdoor recreation visitor behaviors and decision making within the Lye Brook Congressionally Designated Wilderness (LBW) area in Vermont, USA. An on-site intercept survey (n = 576) was employed to collect data from LBW visitors in the summer of 2021. Descriptive and multi-variate statistics (e.g., binary logistic regression, structural equation modeling) indicated that visitor behaviors (e.g., coping, substitution) and decision-making (e.g., intention-to-return) were significantly influenced by social (e.g., conflict), situational (e.g., litter, access), and ecological (e.g., trail conditions, weather) impacts. Moreover, the presence of various weather conditions was found to significantly influence the severity of perceived social, situational, and ecological impacts. Study results indicated that outdoor recreation experiences are multifaceted, necessitating a suite of social, situational, and ecological considerations, especially when examining the relationship between visitor coping behaviors and intention-to-return. This research advances the coping framework, provides empirical support for future examination of social–ecological system (SES) theory, and emphasizes the utility of employing an adaptive systems approach for sustainable PPA management.
Mother and Daughter Carrying of the Same Pathogenic Variant in FGFR2 with Discordant Phenotype
Authors: Lo Vecchio Filomena , Tabolacci Elisabetta , Nobile Veronica , Pomponi Maria Grazia , Pietrobono Roberta , Neri Giovanni , Amenta Simona , Candida Ettore , Grippaudo Cristina , Lo Cascio Ettore , Vita Alessia , Tiberio Federica , Arcovito Alessandro , Lattanzi Wanda , Genuardi Maurizio , Chiurazzi Pietro
Published: June 2022

Craniosynostosis are a heterogeneous group of genetic conditions characterized by the premature fusion of the skull bones. The most common forms of craniosynostosis are Crouzon, Apert and Pfeiffer syndromes. They differ from each other in various additional clinical manifestations, e.g., syndactyly is typical of Apert and rare in Pfeiffer syndrome. Their inheritance is autosomal dominant with incomplete penetrance and one of the main genes responsible for these syndromes is FGFR2, mapped on chromosome 10, encoding fibroblast growth factor receptor 2. We report an FGFR2 gene variant in a mother and daughter who present with different clinical features of Crouzon syndrome. The daughter is more severely affected than her mother, as also verified by a careful study of the face and oral cavity. The c.1032G>A transition in exon 8, already reported as a synonymous p.Ala344 = variant in Crouzon patients, also activates a new donor splice site leading to the loss of 51 nucleotides and the in-frame removal of 17 amino acids. We observed lower FGFR2 transcriptional and translational levels in the daughter compared to the mother and healthy controls. A preliminary functional assay and a molecular modeling added further details to explain the discordant phenotype of the two patients.
The New Variation in the Promoter Region of FLOWERING LOCUS T Is Involved in Flowering in Brassica rapa
Authors: Wei Qingzhen , Hu Tianhua , Xu Xinfeng , Tian Zhen , Bao Chonglai , Wang Jinglei , Pang Hongtao , Hu Haijiao , Yan Yaqin , Liu Tongkun , Wang Wuhong
Published: June 2022

Flowering time is an important agronomic trait in Brassica rapa and has a wide range of variation. The change from vegetative to reproductive development is a major transition period, especially in flowering vegetable crops. In this study, two non-heading Chinese cabbage varieties with significantly different flowering times, Pak-choi (B. rapa var. communis Tesn et Lee) and Caitai (B. rapa var. tsaitai Hort.), were used to construct segregated F2 populations. The bulk-segregant approach coupled with whole genome re-sequencing was used for QTL sequencing (QTL-seq) analysis to map flowering time traits. The candidate genes controlling flowering time in B. rapa were predicted by homologous gene alignment and function annotation. The major-effect QTL ft7.1 was detected on chromosome A07 of B. rapa, and the FT family gene BrFT was predicted as the candidate gene. Moreover, a new promoter regional difference of 1577 bp was revealed by analyzing the sequence of the BrFT gene. The promoter region activity analysis and divergent gene expression levels indicated that the difference in the promoter region may contribute to different flowering times. These findings provide insights into the mechanisms underlying the flowering time in Brassica and the candidate genes regulating flowering in production.
Methionine Adenosyltransferase I/III Deficiency Detected by Newborn Screening
Authors: Hübner Vanessa , Hannibal Luciana , Janzen Nils , Grünert Sarah Catharina , Freisinger Peter
Published: June 2022

Methionine adenosyltransferase I/III deficiency is an inborn error of metabolism due to mutations in the MAT1A gene. It is the most common cause of hypermethioninemia in newborn screening. Heterozygotes are often asymptomatic. In contrast, homozygous or compound heterozygous individuals can develop severe neurological symptoms. Less than 70 cases with biallelic variants have been reported worldwide. A methionine-restricted diet is recommended if methionine levels are above 500–600 µmol/L. In this study, we report on a female patient identified with elevated methionine concentrations in a pilot newborn screening program. The patient carries a previously described variant c.1132G>A (p.Gly378Ser) in homozygosity. It is located at the C-terminus of MAT1A. In silico analysis suggests impaired protein stability by β-turn disruption. On a methionine-restricted diet, her serum methionine concentration ranged between 49–605 µmol/L (median 358 µmol/L). Her clinical course was characterized by early-onset muscular hypotonia, mild developmental delay, delayed myelination and mild periventricular diffusion interference in MRI. At 21 months, the girl showed age-appropriate neurological development, but progressive diffusion disturbances in MRI. Little is known about the long-term outcome of this disorder and the necessity of treatment. Our case demonstrates that neurological symptoms can be transient and even patients with initial neurologic manifestations can show normal development under dietary management.
Novel Genetic Diagnoses in Septo-Optic Dysplasia
Authors: Reis Linda M. , Seese Sarah , Maheshwari Mohit , Basel Donald , Weik LuAnn , McCarrier Julie ,   University of Washington Center for Mendelian Genomics, Semina Elena V.
Published: June 2022

Septo-optic dysplasia (SOD) is a developmental phenotype characterized by midline neuroradiological anomalies, optic nerve hypoplasia, and pituitary anomalies, with a high degree of variability and additional systemic anomalies present in some cases. While disruption of several transcription factors has been identified in SOD cohorts, most cases lack a genetic diagnosis, with multifactorial risk factors being thought to play a role. Exome sequencing in a cohort of families with a clinical diagnosis of SOD identified a genetic diagnosis in 3/6 families, de novo variants in SOX2, SHH, and ARID1A, and explored variants of uncertain significance in the remaining three. The outcome of this study suggests that investigation for a genetic etiology is warranted in individuals with SOD, particularly in the presence of additional syndromic anomalies and when born to older, multigravida mothers. The identification of causative variants in SHH and ARID1A further expands the phenotypic spectra associated with these genes and reveals novel pathways to explore in septo-optic dysplasia.
Barriers and Facilitators of Pharmacoeconomic Studies: A Review of Evidence from the Middle Eastern Countries
Authors: Alzarea Abdulaziz Ibrahim , Khan Yusra Habib , Alanazi Abdullah Salah , Butt Muhammad Hammad , Almalki Ziyad Saeed , AlAhmari Abdullah K. , Alsahali Saud , Mallhi Tauqeer Hussain
Published: June 2022

The world is facing a continuous increase in medical costs. Due to the surge in disease prevalence, medical science is becoming more sensitive to the economic impact of medications and drug therapies. This brings about the importance of pharmacoeconomics, which is concerned with the effective use of health resources to optimize the efficiency and costs of medications of treatment for the best outcomes. This review was conducted to find out the potential barriers and facilitators to implementing pharmacoeconomic studies in the Middle Eastern region having both high- and low-income countries. The varying economies in the region depict diverse healthcare systems where implementation of pharmacoeconomics faces a large number of challenges and is also aided by numerous facilitators that contribute to the growth of its implementation. In this context, we have reviewed the status of pharmacoeconomics in Middle Eastern countries in research databases (Google Scholar, MEDLINE, Science Direct and Scopus) using keywords (“pharmacoeconomics”, “barriers”, “facilitators”, “Middle East”). The study reported that Yemen, Syria, Palestine, Iran, Iraq, Jordan and Lebanon are the lowest-income countries in the Middle East and the implementation of pharmacoeconomics is the poorest in these states. The UAE, Saudi Arabia and Israel are high-income rich states where economic aspects were comparatively better but still a large number of barriers hinder the way to its effective implementation. These include the absence of national governing bodies, the lack of data on the effectiveness of medications, the absence of sufficient pharmacoeconomic experts and the lack of awareness of the importance of pharmacoeconomics. The main facilitators were the availability of pharmacoeconomic guidelines, the encouragement of pharmacoeconomic experts and the promotion of group discussions and collaborations between researchers and policymakers. Cost-benefit analysis is still evolving in Middle Eastern countries, and there is a great need for improvement so that states can effectively benefit from cost analysis tools and utilize their health resources. In this regard, governments should develop national governing bodies to evaluate, implement pharmacoeconomics at the local and state levels and bring about innovation in the field through further research and development incorporating all sectors of pharmacy and pharmaceutics. The data presented in this research can further be extended in future studies to cover the various domains of pharmacoeconomics including cost-minimization analysis, cost-effectiveness analysis and cost-benefit analysis and their applications within the healthcare sectors of Middle Eastern countries.
Suture-Mediated Patent Foramen Ovale Closure Using the NobleStitch EL: Results from a Hospital-Based HTA
Authors: Gaetti Giovanni , Beneduce Alessandro , La Fauci Dario , Scardoni Alessandro , Chiappa Federica , Bellini Lorenzo , Franzin Michela , Natale Anna Maria , Marras Paola , Ranieri Paolo , Signorelli Carlo , Bossi Eleonora , Ferrario Lucrezia , Foglia Emanuela , Montorfano Matteo , Odone Anna
Published: June 2022

(1) Background: Patent foramen ovale (PFO) is a congenital abnormality present in up to 25% of the general population, and it is a relevant cause of cryptogenic stroke. We applied the hospital-based HTA model (AdHopHTA) to conduct a multidimensional assessment of NobleStitch EL, an innovative suture-mediated PFO closure device. We compared it to Amplatzer PFO Occluder (APO) to provide evidence to inform technologies’ governance in hospital settings. (2) Methods: For each AdHopHTA dimension we: systematically retrieved available evidence from the literature applying the PRISMA guidelines and then analyzed original clinical and cost data of a NobleStitch EL device at San Raffaele research hospital in Milan (Italy). The economic dimension was analyzed through activity-based costing and a cost analysis. We conducted semi-structured interviews with selected healthcare professionals to explore the organizational, legal, social, and ethical impact. (3) Results: A single study was included for the NobleStitch EL, with 10 for APO. Both literature data and original data showed comparable safety. Efficacy data analysis found that the PFO closure was at 89% for NobleStitch EL vs. 89–97% for APO. APO has a better impact on the budget and minor process costs. Consulted experts reported that the organizational impact of NobleStitch EL in the short and the long run as null, albeit a better impact under the social and the ethical aspects. (4) Conclusion: We suggest that there is inadequate evidence to conclude the relative efficacy of NobleStitch EL as compared to APO. Nevertheless, this report shows a good safety profile and higher costs for NobleStitch EL, with no organizational or legal impact. Further studies in selected population are recommended.
Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow
Authors: Liu Li , Jin Huan , Liu Yangguang , Zhang Xiaomin
Published: June 2022

This paper focuses on the problem of intelligent evacuation route planning for emergencies, including natural and human resource disasters and epidemic disasters, such as the COVID-19 pandemic. The goal of this study was to quickly generate an evacuation route for a community for victims to be evacuated to safe areas as soon as possible. The evacuation route planning problem needs to determine appropriate routes and allocate a specific number of victims to each route. This paper formulates the problem as a maximum flow problem and proposes a binary search algorithm based on a maximum flow algorithm, which is an intelligent optimization evacuation route planning algorithm for the community. Furthermore, the formulation is a nonlinear optimization problem because each route’s suggested evacuation time is a convex nonlinear function of the number of victims assigned to that route. Finally, numerical examples and Matlab simulations demonstrate not only the algorithm’s effectiveness, but also that the algorithm has low complexity and high precision. The study’s findings offer a practical solution for nonlinear models of evacuation route planning, which will be widely used in human society and robot path planning schemes.