bluuebunny/crossref_metadata_2025 huggingface dataset:
The Desmoplastic Stroma of Pancreatic Cancer: Multilayered Levels of Heterogeneity, Clinical Significance, and Therapeutic Opportunities
Authors: Masugi Yohei
Published: July 2022

Pancreatic cancer remains one of the most lethal malignancies and is becoming a dramatically increasing cause of cancer-related mortality worldwide. Abundant desmoplastic stroma is a histological hallmark of pancreatic ductal adenocarcinoma. Emerging evidence suggests a promising therapeutic effect of several stroma-modifying therapies that target desmoplastic stromal elements in the pancreatic cancer microenvironment. The evidence also unveils multifaceted roles of cancer-associated fibroblasts (CAFs) in manipulating pancreatic cancer progression, immunity, and chemotherapeutic response. Current state-of-the-art technologies, including single-cell transcriptomics and multiplexed tissue imaging techniques, have provided a more profound knowledge of CAF heterogeneity in real-world specimens from pancreatic cancer patients, as well as in genetically engineered mouse models. In this review, we describe recent advances in the understanding of the molecular pathology bases of pancreatic cancer desmoplastic stroma at multilayered levels of heterogeneity, namely, (1) variations in cellular and non-cellular members, including CAF subtypes and extracellular matrix (ECM) proteins; (2) geographical heterogeneity in relation to cell–cell interactions and signaling pathways at niche levels and spatial heterogeneity at locoregional levels or organ levels; and (3) intertumoral stromal heterogeneity at individual levels. This review further discusses the clinicopathological significance of desmoplastic stroma and the potential opportunities for stroma-targeted therapies against this lethal malignancy.
Alkene Epoxidation and Thioether Oxidation with Hydrogen Peroxide Catalyzed by Mesoporous Zirconium-Silicates
Authors: Ivanchikova Irina D. , Zalomaeva Olga V. , Maksimchuk Nataliya V. , Stonkus Olga A. , Glazneva Tatiana S. , Chesalov Yurii A. , Shmakov Alexander N. , Guidotti Matteo , Kholdeeva Oxana A.
Published: July 2022

Mesoporous zirconium-silicates have been prepared using two different methodologies, evaporation-induced self-assembly and solventless organometallic precursor dry impregnation of commercial SiO2. The samples were characterized by elemental analysis, XRD, N2 adsorption, TEM, DRS UV–vis and Raman spectroscopic techniques. The catalytic performance of the Zr-Si catalysts was assessed in the epoxidation of three representative alkenes, cyclohexene, cyclooctene and caryophyllene, as well as in the oxidation of methyl phenyl sulfide using aqueous hydrogen peroxide as a green oxidant, with special attention drawn to the structure/activity relationship and catalyst stability issues. The key factors which affect substrate conversion and epoxide selectivity have been defined. The catalysts with larger contents of oligomeric ZrO2 species revealed higher activity. The nature of alkene and, in particular, its molecular hindrance is crucial, since the adsorption of the epoxide product is the main factor leading to fast catalyst deactivation. In fact, bulky epoxides do not show this effect. After optimization, the oxidation of caryophyllene gave endocyclic monoepoxide with 77% selectivity at 87% alkene conversion. Methyl phenyl sulfoxide afforded 37% of sulfoxide and 63% of sulfone at 57% sulfide conversion. The nature of catalysis was truly heterogeneous and no Zr leaching was observed.
A Critical Review on Artificial Intelligence for Fuel Cell Diagnosis
Authors: Kishore Somasundaram Chandra , Perumal Suguna , Atchudan Raji , Alagan Muthulakshmi , Sundramoorthy Ashok K. , Lee Yong Rok
Published: July 2022

In recent years, fuel cell (FC) technology has seen a promising increase in its proportion in stationary power production. Several pilot projects are in operation across the world, with the number of running hours steadily rising, either as stand-alone units or as part of integrated gas turbine–electric energy plants. FCs are a potential energy source with great efficiency and zero emissions. To ensure the best performance, they normally function within a confined temperature and humidity range; nevertheless, this makes the system difficult to regulate, resulting in defects and hastened deterioration. For diagnosis, there are two primary approaches: restricted input information, which gives an unobtrusive, rapid yet restricted examination, and advanced characterization, which provides a more accurate diagnosis but frequently necessitates invasive or delayed tests. Artificial Intelligence (AI) algorithms have shown considerable promise in providing accurate diagnoses with quick data collecting. This work focuses on software models that allow the user to evaluate many different possibilities in the shortest amount of time and is a vital method for proper and dynamic analysis of such entities. The artificial neural network, genetic algorithm, particle swarm optimization, random forest, support vector machine, and extreme learning machine are common AI approaches discussed in this review. This article examines the modern practice and provides recommendations for future machine learning methodologies in fuel cell diagnostic applications. In this study, these six AI tools are specifically explained with results for a better understanding of the fuel cell diagnosis. The conclusion suggests that these approaches are not only a popular and beneficial tool for simulating the nature of an FC system, but they are also appropriate for optimizing the operational parameters necessary for an ideal FC device. Finally, observations and ideas for future research, enhancements, and investigations are offered.
Deuterium Retention in Mixed Layers with Application in Fusion Technology
Authors: Dinca Paul , Staicu Cornel , Porosnicu Corneliu , Butoi Bogdan , Pompilian Oana Gloria , Banici Ana Maria , Baiasu Flaviu , Burducea Ion , Lungu Cristian P.
Published: July 2022

Formation of Be-W mixed layers in thermonuclear fusion reactors can potentially alter the retention of hydrogen isotopes and affect the retention and release properties of these isotopes. This paper reports on the retention and release characteristics of D from reference Be, W layers as well as three Be-W mixed layers with well-defined atomic concentrations (2:1, 1:1, 1:2). The layers resulted from the sputtering of Be and W materials in Ar:D (1:1) mixture at 2 Pa using DC magnetron sputtering. The mixed layers’ deposition parameters were varied to adjust accordingly the deposition rate for each material in order to obtain the desired concentrations. Scanning electron microscope images showed that morphology is independent of composition for samples deposited on silicon substrates. In contrast, layers deposited on tungsten revealed a textured surface and morphological changes with W concentration variation. X-ray diffraction patterns of mixed layers evidenced the presence of a polycrystalline tungsten phase. Additionally, the degree of crystallinity is highly influenced by the plasma parameters and enhanced amorphization is evidenced by a decrease of crystalline size by a factor of 10 for mixed layers compared to the W reference layer. The release behavior of D from the layers is affected by the trapping contribution of both Be and W. Compared with implanted layers, presented in literature studies, the co-deposited layers show a high D occupancy of low energy trapping states, the majority of the D retained in the samples being released at temperatures below 623 K. High energy trapping becomes more pronounced for layers with a high Be concentration. The oxygen contamination observed for Be layers points to a mitigation of D retention in low energy trapping states and shifts the desorption chart towards a higher temperature due to enhanced retention in BeO associated traps. The D retention presents a linear decrease of W concentration in the sample.
Synthesis of Thiazolidinedione Compound Library
Authors: Damkaci Fehmi , Szymaniak Adam A. , Biasini Jason P. , Cotroneo Ryan
Published: July 2022

Thiazolidinediones (TZDs), also known as Glitazones, have anti-diabetic, anti-inflammatory and anti-cancer properties. A simple, efficient and cost-effective synthesis of a thiazolidinedione compound library was developed. The synthesis is facilitated by microwave irradiation in three of the four steps followed by reduction under pressurized hydrogen gas using palladium hydroxide. All reactions, except one, were completed within an hour and provided desired products in moderate to good yields after a simple work-up.
Fish Diversity in Relation to Salinity Gradient in the Meghna River Estuary, Bangladesh
Authors: Shaha Dinesh Chandra , Ahmed Salman , Hasan Jahid , Kundu Sampa Rani , Haque Farhana , Rahman Mohammad Jalilur , Nahiduzzaman Md. , Wahab Md. Abdul
Published: July 2022

Variation in salinity is one of the major environmental factors influencing the species diversity of fish in an estuary. Therefore, evaluating the relationship between salinity and species diversity is important. In this study, fish diversity was assessed by fish sampling and visiting local fish markets from February to November 2021. Mean salinity was 10.59 psu (Practical Salinity Unit) and 0.46 psu during the dry and wet seasons, respectively. Harpadon nehereus, Odontamblyopus rubicundus and Pseudapocryptes elongatus species were found as polyhaline (0.06~18.1 psu) species. Anguilla japonica and Arius gagora were abundant in brackish water conditions (0.35~14.2 psu). However, Acanthopagrus latus and Setipinna phasa were found in freshwater conditions (0.06~0.11 psu). The suitability index indicates that commercially important fish species such as Liza parsia, Macrobrachium rosenbergii, Mugil cephalus, Penaeus monodon and Scylla serrata can be used for mariculture during the dry season, and Acanthopagrus latus, Pethia canius and Setipinna phasa during the wet season. Overall, these findings suggest that salinity, water temperature, and chlorophyll-a had a significant (p < 0.05) effect on the fish distribution and assemblage composition in the study area. This finding will be helpful in developing policies for the conservation and management of the aquatic resources in the coastal zone to enrich the blue economy.
Manufacturing Techniques for Mg-Based Metal Matrix Composite with Different Reinforcements
Authors: Arora Gurmeet Singh , Saxena Kuldeep Kumar , Mohammed Kahtan A. , Prakash Chander , Dixit Saurav
Published: July 2022

Magnesium is among the lightest structural metals available, with the capacity to replace traditional alloys in mass-saving applications while still providing increased stiffness and strength. The inclusion of reinforcing components into the metallic matrix has a substantial impact on stiffness, specific strength, wear behaviour, damping behaviour, and creep properties when compared to typical engineering materials. Due to their outstanding physical and mechanical characteristics along with low density, magnesium metal matrix composites are viable materials for numerous applications. This study discusses how to choose an appropriate technique and its process parameters for synthesising magnesium-based metal matrix composites (MMCs) and gives an overview of the impacts of various reinforcements in magnesium and its alloys, emphasising their benefits and drawbacks. The essential applications of various magnesium-based MMCs are also critically examined in this article. The impact of reinforcement on the microstructure as well as mechanical characteristics are thoroughly examined.
Thrips Microbiome Study in Commercial Avocado (Persea americana Mill.) from Northwest Colombian Andes (Antioquia, Colombia) Shows the Presence of Wolbachia, Ehrlichia, Enterobacter
Authors: Cano-Calle Daniela , Montoya-Porras Luisa Maria , Ochoa-Giraldo Sebastian , Junca Howard , Garcia-Bonilla Erika , Saldamando-Benjumea Clara , Moreno-Herrera Claudia Ximena , Arango-Isaza Rafael E.
Published: July 2022

Microbiota associated with insects play several important roles in their host, including protection against pathogens, provision of nutrition, and survival in hostile environments. The aim of this work was to identify the bacterial community found in avocado thrips from Northwestern Colombia (Antioquia department) in order to find isolates for potential biocontrol purposes. Culture-dependent methods based on 16S rRNA and gyrase B gene sequencing in 42 bacterial isolates allowed the identification of the genera Bacillus, Serratia, Moraxella, Pantoea, and Sphingomonas. Microbial diversity detected with the temperature gradient gel electrophoresis (TGGE) technique on three morphotypes of thrips, named brown (Scirtothrips hansoni), black (Frankliniella panamensis), and pale (Frankliniella sp.), showed a low bacterial community density (Shannon–Wiener index = 1480, p > 0.05) with significant differences among morphotypes (R = 0.7877, p = 0.0004). Results obtained with Illumina sequencing on the V1–V2 hypervariable region of the subunit 16S rRNA showed a predominant sequence in the brown morphotype (Scirtothrips hansoni) that belongs to the genus Wolbachia. The 16S amplicon analyses were extended to more samples and higher resolution using the V4–V5 hypervariable region. The results showed six additional bacteria phyla, confirming the previous observation for the dominant bacterial groups made in S. hansoni and the detection of the alternation of highly predominant genera among these thrips. Our results demonstrate that endosymbiont such as Wolbachia sp. are part of the microbiota of these pests, thereby indicating the possibility of employing this type of bacterium to improve the management of avocado thrips globally.
Ecological and Hydrological Indicators of Climate Change Observed by Dryland Communities of Malipati in Chiredzi, Zimbabwe
Authors: Chanza Nelson , Musakwa Walter
Published: July 2022

Existing evidence about climate change in Zimbabwe has tended to focus more on elements and events of the climate system, marginalizing changes in the hydrological and ecological system. To contribute to the improved understanding of climate change, this study captured the observations of climate change in Malipati, a remote agrarian dryland area in the Chiredzi District, Zimbabwe. The aim of the study was to gather detailed insights about perceived environmental changes using the evidence drawn from local and indigenous populations who have close interactions with their natural environment. A household questionnaire-based survey with randomly chosen farmers (n = 116) revealed that participants’ observations of changes in hydrological and ecological system were consistent with available evidence of increasing temperatures and little rainfall recorded in the district. Results also showed high sensitivity of the area to climate change that manifest in various indicators: hydrological changes in rivers, streams, swamps, and ground water; and ecological changes through the behaviour of trees, insects, birds, and wild animals. Sex and age of the participants did not influence the way they perceived most of these changes (p > 0.05). However, education and the period of stay in the area were related to the respondents’ perceived changes in river flows and siltation, and the conditions of swamps (p < 0.05). Our study also revealed deeper insights about the human-biodiversity interactions in the face of climate change in unique areas where communities live alongside wildlife. The evidence drawn from local and indigenous populations can be used to inform local-based solutions to the growing problems of climate change and biodiversity loss. Future studies would need to further examine such areas to understand the mitigation and adaptation practices that would promote the sustainable co-existence of humans and wildlife.
An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer
Authors: Anand Vatsala , Gupta Sheifali , Altameem Ayman , Nayak Soumya Ranjan , Poonia Ramesh Chandra , Saudagar Abdul Khader Jilani
Published: July 2022

Skin cancer is the most commonly diagnosed and reported malignancy worldwide. To reduce the death rate from cancer, it is essential to diagnose skin cancer at a benign stage as soon as possible. To save lives, an automated system that can detect skin cancer in its earliest stages is necessary. For the diagnosis of skin cancer, various researchers have performed tasks using deep learning and transfer learning models. However, the existing literature is limited in terms of its accuracy and its troublesome and time-consuming process. As a result, it is critical to design an automatic system that can deliver a fast judgment and considerably reduce mistakes in diagnosis. In this work, a deep learning-based model has been designed for the identification of skin cancer at benign and malignant stages using the concept of transfer learning approach. For this, a pre-trained VGG16 model is improved by adding one flatten layer, two dense layers with activation function (LeakyReLU) and another dense layer with activation function (sigmoid) to enhance the accuracy of this model. This proposed model is evaluated on a dataset obtained from Kaggle. The techniques of data augmentation are applied in order to enhance the random-ness among the input dataset for model stability. The proposed model has been validated by considering several useful hyper parameters such as different batch sizes of 8, 16, 32, 64, and 128; different epochs and optimizers. The proposed model is working best with an overall accuracy of 89.09% on 128 batch size with the Adam optimizer and 10 epochs and outperforms state-of-the-art techniques. This model will help dermatologists in the early diagnosis of skin cancers.
Patient Population and Test Utilization for Thyroid Function in Local Clinics and Hospitals in Korea
Authors: Choi Rihwa , Lee Sang Gon , Lee Eun Hee
Published: July 2022

We evaluated the utilization and characteristics of thyroid function test (TFT) results, including serum thyroid stimulating hormone (TSH), free thyroxine (free T4), and total triiodothyronine (total T3) in Korean adults who visited local clinics and hospitals between 2018 and 2020. We obtained TFT results for 69,575 specimens from 47,685 adult Korean patients (4878 men and 42,807 women) with a mean age of 42.7 (standard deviation of 13.2) years. Among them, 23,581 specimens were tested for TSH only, 38,447 specimens were tested for TSH and free T4 (including 17,978 specimens without total T3), and 20,469 specimens were tested for all three, i.e., TSH, free T4, and total T3. The proportion of euthyroid was 80.0% among all 69,575 specimens, 71.2% among specimens with TSH and free T4, and 64.2% among specimens with all three TFTs. TFT patterns that were difficult to interpret and needed more clinical information were observed for about 6.9% of the 20,469 specimens with all three TFTs. Among the 20,469 specimens with all three TFTs, no specimen had increases in all three. Information on the prevalence of specimen results of TFTs would be helpful to expand our knowledge of patient population characteristics and to improve test utilization.
Carboxyhemoglobin (CO-Hb) Correlates with Hemolysis and Hospital Mortality in Extracorporeal Membrane Oxygenation: A Retrospective Registry
Authors: Bemtgen Xavier , Rilinger Jonathan , Holst Manuel , Rottmann Felix , Lang Corinna N. , Jäckel Markus , Zotzmann Viviane , Benk Christoph , Wengenmayer Tobias , Supady Alexander , Staudacher Dawid L.
Published: July 2022

Background: Patients supported with extracorporeal membrane oxygenation (ECMO) may develop elevated carboxyhemoglobin (CO-Hb), a finding described in the context of hemolysis. Clinical relevance of elevated CO-Hb in ECMO is unclear. We therefore investigated the prognostic relevance of CO-Hb during ECMO support. Methods: Data derives from a retrospective single-center registry study. All ECMO patients in a medical ICU from October 2010 through December 2019 were considered. Peak arterial CO-Hb value during ECMO support and median CO-Hb values determined by point-of-care testing for distinct time intervals were determined. Groups were divided by CO-Hb (<2% or ≥2%). The primary endpoint was hospital survival. Results: A total of 729 patients with 59,694 CO-Hb values met the inclusion criteria. Median age (IQR) was 59 (48–68) years, 221/729 (30.3%) were female, and 278/729 (38.1%) survived until hospital discharge. Initial ECMO configuration was veno-arterial in 431/729 (59.1%) patients and veno-venous in 298/729 (40.9%) patients. Markers for hemolysis (lactate dehydrogenase, bilirubin, hemolysis index, and haptoglobin) all correlated significantly with higher CO-Hb (p < 0.001, respectively). Hospital survival was significantly higher in patients with CO-Hb < 2% compared to CO-Hb ≥ 2%, evaluating time periods 24–48 h (48.6% vs. 35.2%, p = 0.003), 48–72 h (51.5% vs. 36.8%, p = 0.003), or >72 h (56.9% vs. 31.1%, p < 0.001) after ECMO cannulation. Peak CO-Hb was independently associated with lower hospital survival after adjustment for confounders. Conclusions: In ECMO, CO-Hb correlates with hemolysis and hospital survival. If high CO-Hb measured should trigger a therapeutic intervention in order to reduce hemolysis has to be investigated in prospective trials.
Leadership Styles, High-Involvement Human Resource Management Practices, and Individual Employee Performance in Small and Medium Enterprises in the Digital Era
Authors: Cahyadi Afriyadi , Marwa Taufiq , Hágen István , Siraj Mohammed Nuru , Santati Parama , Poór József , Szabó Katalin
Published: July 2022

This research investigates the positive relationship between leadership styles, high-involvement human resource management practices, and individual employee performance. In this study, we adopt servant, shared, and empowering leadership to explain leadership styles in the digital era. We propose four hypotheses and design a research framework to be analyzed. We develop a self-report questionnaire and distribute it online to three hundred targeted respondents, and collect two hundred and seventy-six complete responses from November 2021 to January 2022. This research applies a quantitative method, using structural equation modeling run by SPSS and AMOS. The results reveal well-distributed data, and all the indicators of the three variables are valid and reliable. The use of CFA confirms the indicators’ validity and reliability. The GoF analysis ensures that the research model is feasible for SMEs. The hypothesis analysis shows the acceptance of H1 and H3, but the rejection of H2 and H4. Leadership styles positively affect individual employee performance and high-involvement human resource management practices in SMEs operating in Lubuklinggau. High-involvement human resource management is not a mediator of the relationship between leadership styles and individual employee performance.
Relationship between Nomophobia, Various Emotional Difficulties, and Distress Factors among Students
Authors: Santl Lea , Brajkovic Lovorka , Kopilaš Vanja
Published: July 2022

The concept of nomophobia is a relatively new and is defined as the fear of not being able to use all the features and benefits provided by smartphones. The main goal of this research was to examine the relationship between nomophobia and various emotional difficulties and distress factors. The following measuring instruments were used on a sample of 257 Croatian students whose average age was 22 years: Nomophobia Questionnaire (NMP-Q); Scales of Depression, Anxiety, and Stress (DASS); Social and Emotional Loneliness Scale (SELSA); and Emotional Skills and Competences Questionnaire (ESCQ-15). Significant correlations between nomophobia and all examined variables were determined. It was found that nomophobia and emotional skills and competence act as significant predictors in expression of distress factors: 30% of the variance in the severity of depression symptoms, 24% of the variance in the severity of anxiety symptoms, and 26% of the variance in the severity of stress symptoms were explained.
Effects of Bioliquid Recirculation on Hydrothermal Carbonization of Lignocellulosic Biomass
Authors: Lee Sun-Ju , Oh Min-Ah , Oh Seung-Jin , Cho Na-Hyeon , Kang Young-Yeul , Lee Jai-Young
Published: July 2022

The characteristics of bioliquid produced through the hydrothermal carbonization (HTC) of wood wastes and the effects of recirculation on hydrochar production were analyzed. The organic acids and total organic carbon of bioliquid increased with progressive recirculation, whereas intermediate byproducts decreased. Hydrochar production by bioliquid recirculation increased mass yield, carbon content, caloric value, and energy yield of the former, while improving its quality as a solid refuse fuel. We concluded that bioliquid recirculation promoted HTC, as demonstrated by Fourier-transform infrared spectroscopy. Furthermore, contrary to predictions, a relatively constant quantity of bioliquid was generated in each step, indicating that its continuous reuse is feasible. Therefore, bioliquid recirculation can improve hydrochar production while simultaneously mitigating the environmental impact of wastewater generation. This method should be considered an important strategy toward the implementation of carbon-neutrality goals.
System Dynamics Modeling and Fuzzy MCDM Approach as Support for Assessment of Sustainability Management on the Example of Transport Sector Company
Authors: Moradi Shohreh , Sierpiński Grzegorz , Masoumi Houshmand
Published: July 2022

Contemporary challenges for development should involve a sustainable approach. One of the important sectors where such challenges are observed is transport. In a wide range of studies addressing environmental, social, and economic dimensions of sustainability, an approach that combines these dimensions as an integrated technique to assess sustainable development of passenger rail transport organizations is still lacking. The first aim of the presented research is to offer a relatively comprehensive collection of railway sustainability indicators as well as a novel causal loop. The second aim is to assess and improve sustainable management using a case study of a passenger rail transport company. To model the relationships inside and around the transport company, the system dynamics (SD) methodology was chosen, being the primary contribution of the study. Additionally, the Fuzzy-TOPSIS logic is required to find the most appropriate scenarios that may change future strategies by making them more socially and environmentally friendly. The proposed research may support experts in assessing sustainability management in transport companies and improve their performance considerably.
Evaluation of Gas-Based EOR Methods in Gas-Invaded Zones of Fractured Carbonate Reservoir
Authors: Gugl Ronald , Kharrat Riyaz , Shariat Ali , Ott Holger
Published: July 2022

More than half of all recoverable oil reserves are found in carbonate rocks. Most of these fields are highly fractured and develop different zonations during primary and secondary recovery stages; therefore, they require a different developmental approach than conventional reservoirs. Experimental results for water-alternating gas injection [WAG] and foam-assisted water-alternating gas [FAWAG] injection under secondary and tertiary recovery conditions were used to investigate these enhanced oil recovery [EOR] methods in gas-invaded reservoirs. The relative permeability curves of the cores and the fitting foam parameters were derived from these experiments through history matching. These findings were then used in a quarter five-spot, cross-sectional, and a sector model of a carbonate reservoir where a double five-spot setup was implemented. The fracture and matrix properties’ impact on the recovery was illustrated through the cross-sectional model. The gas mobility reduction effect of the FAWAG was more noticeable than that of WAG. The apparent viscosity of the gas was increased due to the foam presence, which caused a diversion of the gas from the fractures into the matrix blocks. This greatly enhanced the sweep efficiency and led to higher oil recovery. The gas front was much sharper, and gravity overrides by the gas were much less of a concern. The properties of the fracture network also had a significant effect on the recovery. Oil recovery was found to be most sensitive to fracture permeability. At the same time, sweep efficiency increased substantially, improving the recovery rate in the early injection stages, and differed slightly at the ultimate recovery. However, a lower fracture permeability facilitated gas entry into the matrix blocks. The results of the reservoir sector model were similar to the core and pilot. However, the WAG injection recovered more of the uppermost layers, whereas significant portions of the lowest layer were not effectively recovered. In contrast, FAWAG was more effective in the lowest layer of the reservoir. The FAWAG was a beneficial aid in the recovery of gas-invaded fractured reservoirs, increasing the oil recovery factor with respect to WAG.
X-Linked Hypophosphatemia Transition and Team Management
Authors: Kubota Takuo
Published: July 2022

X-linked hypophosphatemia (XLH) is the most common form of inherited disorders that are characterized by renal phosphate wasting, but it is a rare chronic disease. XLH presents in multisystemic organs, not only in childhood, but also in adulthood. Multidisciplinary team management is necessary for the care of patients with XLH. Although XLH has often been perceived as a childhood disease, recent studies have demonstrated that it is a long-term and progressive disease throughout adulthood. In the past 20 years, the importance of the transition from pediatric care to adult care for patient outcomes in adulthood in many pediatric onset diseases has been increasingly recognized. This review describes transitional care and team management for patients with XLH.
Compressive and Bending Strength Variations in the Properties of Portuguese Clear Oak Wood
Authors: Knapic Sofia , Linhares Camila S. F. , Machado José S.
Published: July 2022

Within-stem variation in the mechanical properties of Portuguese oak wood was analysed, considering different locations (three sites in the centre and north of Portugal—Site 1, Site 2, Site 3) and positions within the tree (two distances to pith—P1, P2). The study comprised compression parallel to the grain, bending strength and modulus of elasticity. Ultimately, this study aims at assuring the building of a body of knowledge on the technological quality and processing options for this species. The results showed for one provenance, Site 1, a significant effect of the distance to pith in the mechanical properties, which can be related to a different soil composition. For this provenance, a decrease in the compression and bending strength was verified from pith to bark. For the other provenances (Site 2 and Site 3), no effect was noticed. The overall behaviour showed noticeable correlations between the mechanical properties and density.
Multiple-Temporal Scale Variations in Nighttime Sap Flow Response to Environmental Factors in Ficus concinna over a Subtropical Megacity, Southern China
Authors: Hayat Muhammad , Yan Chunhua , Xiang Jiao , Xiong Bowen , Qin Longjun , Khan Alamgir , Wang Bei , Khan Mohsin , Zou Zhendong , Qiu Guoyu
Published: July 2022

With ongoing climate change and rapid urbanization, the influence of extreme weather conditions on long-term nocturnal sap flow (Qn) dynamics in subtropical urban tree species is poorly understood despite the importance of Qn for the water budgets and development plantation. We continuously measured nighttime sap flow in Ficus concinna over multiple years (2014–2020) in a subtropical megacity, Shenzhen, to explore the environmental controls on Qn and dynamics in plant water consumption at different timescales. Nocturnally, Qn was shown to be positively driven by the air temperature (Ta), vapor pressure deficit (VPD), and canopy conductance (expressed as a ratio of transpiration to VPD), yet negatively regulated by relative humidity (RH). Seasonally, variations in Qn were determined by VPD in fast growth, Ta, T/VPD, and meteoric water input to soils in middle growth, and RH in the terminal growth stages of the trees. Annual mean Qn varied from 2.87 to 6.30 kg d−1 with an interannual mean of 4.39 ± 1.43 kg d−1 (± standard deviation). Interannually, the key regulatory parameters of Qn were found to be Ta, T/VPD, and precipitation (P)-induced-soil moisture content (SMC), which individually explained 69, 63, 83, and 76% of the variation, respectively. The proportion of the nocturnal to the total 24-h sap flow (i.e., Qn/Q24-h × 100) ranged from 0.18 to 17.39%, with an interannual mean of 8.87%. It is suggested that high temperatures could increase transpirational demand and, hence, water losses during the night. Our findings can potentially assist in sustainable water management in subtropical areas and urban planning under increasing urban heat islands expected with future climate change.
Evaluating Effects of Post-Fire Climate and Burn Severity on the Early-Term Regeneration of Forest and Shrub Communities in the San Gabriel Mountains of California from Sentinel-2(MSI) Images
Authors: Liu Qi , Fu Bolin , Chen Zhili , Chen Li , Liu Lixi , Peng Wudi , Liang Yaquan , Chen Lin
Published: July 2022

Studying the early changes in post-fire vegetation communities may improve the overall resilience of forests. The necessity for doing so was demonstrated by the Bobcat Fire, which seriously threatened the central San Gabriel Mountains and the Angeles National Forest in California. This study aimed to monitor and quantify the effects of climatological and topographic conditions along with burn severity on early (within 1 year) post-fire forests and shrubs community regeneration. In this study, we used Sentinel-2(MSI) intensive time-series imagery (July 2020–October 2021) to make a confusion matrix combined with 389 vegetation sample points on Google Earth Pro. The overall accuracy (OA) and the Kappa coefficient, calculated from the confusion matrix, were used as evaluation parameters to validate the classification results. With multiple linear regression models and Environmental Systems Research Institute (ESRI) historical images, we analyzed the effects of climate and slope aspects on the regeneration of post-fire forest and shrub communities. We also quantitatively analyzed the regeneration rates based on five burn severity types. The results show that the normalized burning rate (NBR) was the most accurate vegetation classification indicator in this study (OA: 92.3–99.5%, Kappa: 0.88–0.98). The vegetation classification accuracy based on SVM is about 6.6% higher than K-Means. The overall accuracy of the burn area is 94.87%. Post-fire climate factors had a significant impact on the regeneration of the two vegetation communities (R2: 0.42–0.88); the optimal regeneration slope was 15–35°; and the fire severity changed the original competition relationship and regeneration rate. The results provide four main insights into the regeneration of post-fire vegetation communities: (1) climate factors in the first regenerating season have important impacts on the regeneration of forest and shrub communities; (2) daytime duration and rainfall are the most significant factors for forests and shrubs regeneration; (3) tolerable low burn severity promotes forests regeneration; and (4) forests have a certain ability to resist fires, while shrubs can better tolerate high-intensity fire ecology. This study could support the implementation of strategies for regionalized forest management and the targeted enhancement of post-fire vegetation community resilience.
Conifer Biotechnology: An Overview
Authors: Rodríguez Sonia María , Ordás Ricardo Javier , Alvarez José Manuel
Published: July 2022

The peculiar characteristics of conifers determine the difficulty of their study and their great importance from various points of view. However, their study faces numerous important scientific, methodological, cultural, economic, social, and legal challenges. This paper presents an approach to several of those challenges and proposes a multidisciplinary scientific perspective that leads to a holistic understanding of conifers from the perspective of the latest technical, computer, and scientific advances. This review highlights the deep connection that all scientific contributions to conifers can have in each other as fully interrelated communicating vessels.
Next-Generation Sequencing Identifies Novel PMPCA Variants in Patients with Late-Onset Dominant Optic Atrophy
Authors: Charif Majida , Chevrollier Arnaud , Gueguen Naïg , Kane Selma , Bris Céline , Goudenège David , Desquiret-Dumas Valerie , Meunier Isabelle , Mochel Fanny , Jeanjean Luc , Varenne Fanny , Procaccio Vincent , Reynier Pascal , Bonneau Dominique , Amati-Bonneau Patrizia , Lenaers Guy
Published: July 2022

Dominant Optic Atrophy (DOA) is one of the most common inherited mitochondrial diseases, leading to blindness. It is caused by the chronic degeneration of the retinal ganglion cells (RGCs) and their axons forming the optic nerve. Until now, DOA has been mainly associated with genes encoding proteins involved in mitochondrial network dynamics. Using next-generation and exome sequencing, we identified for the first time heterozygous PMPCA variants having a causative role in the pathology of late-onset primary DOA in five patients. PMPCA encodes an α subunit of the mitochondrial peptidase (MPP), responsible for the cleavage and maturation of the mitochondrial precursor proteins imported from the cytoplasm into mitochondria. Recently, PMPCA has been identified as the gene responsible for Autosomal Recessive Cerebellar Ataxia type 2 (SCAR2) and another severe recessive mitochondrial disease. In this study, four PMPCA variants were identified, two are frameshifts (c.309delA and c.820delG) classified as pathogenic and two are missenses (c.1363G>A and c.1547G>A) classified with uncertain pathological significance. Functional assays on patients’ fibroblasts show a hyperconnection of the mitochondrial network and revealed that frameshift variants reduced α-MPP levels, while not significantly affecting the respiratory machinery. These results suggest that alterations in mitochondrial peptidase function can affect the fusion-fission balance, a key element in maintaining the physiology of retinal ganglion cells, and consequently lead to their progressive degeneration.
Leaf Development in Medicago truncatula
Authors: Du Liren , Adkins Samuel , Xu Mingli
Published: July 2022

Forage yield is largely dependent on leaf development, during which the number of leaves, leaflets, leaf size, and shape are determined. In this mini-review, we briefly summarize recent studies of leaf development in Medicago truncatula, a model plant for legumes, with a focus on factors that could affect biomass of leaves. These include: floral development and related genes, lateral organ boundary genes, auxin biosynthesis, transportation and signaling genes, and WOX related genes.
Severe Immune-Related Adverse Events in Patients Treated with Nivolumab for Metastatic Renal Cell Carcinoma Are Associated with PDCD1 Polymorphism
Authors: Kobayashi Mizuki , Numakura Kazuyuki , Hatakeyama Shingo , Muto Yumina , Sekine Yuya , Sasagawa Hajime , Kashima Soki , Yamamoto Ryohei , Koizumi Atsushi , Nara Taketoshi , Saito Mitsuru , Narita Shintaro , Ohyama Chikara , Habuchi Tomonori
Published: July 2022

Single nucleotide polymorphisms (SNPs) reportedly influence the effect of nivolumab in metastatic renal cell carcinoma (mRCC). This study aimed to evaluate the relationship between the clinical outcomes of patients with mRCC and SNPs in programmed cell death protein 1 (PD-1) protein-coding gene (PDCD1) and explore any potential correlation with patient prognosis and incidence of immune-related adverse events (irAEs). In total, 106 patients with mRCC, who were treated with nivolumab alone (n = 59) or nivolumab and ipilimumab (n = 47), were enrolled in the study. Three SNPs in the PDCD1 gene, namely PD-1.3, PD-1.5, and PD-1.6, were assessed. Patients harboring the PD-1.6 G allele experienced more severe (odds ratio, 3.390; 95% confidence interval 1.517–7.756; p = 0.003) and multiple (OR, 2.778; 95% CI, 1.020–6.993 p = 0.031) irAEs than those harboring the AA genotype. Thus, the existence of the PDCD1 PD-1.6 polymorphism (G allele) was associated with the occurrence of severe and multiple irAEs in patients with mRCC. Further evaluation of PDCD1 polymorphisms might help identify patients experiencing irAE by nivolumab treatment.
Holocene Evolution of Minor Mountain Lacustrine Basins in the Northern Apennines, Italy: The Lake Moo Case Study
Authors: Segadelli Stefano , Ogata Kei , Cocuccioni Marco , Gambini Stefano , Martelli Luca , Morandi Lionello F. , Oppo Gabriele
Published: July 2022

Sedimentary systems developed in small (<1 km2) mountain lacustrine basins represent high-resolution geological archives, able to record subtle climatic and tectonic signatures over historical times. The studied example from the Mt. Ragola ophiolitic massif in the Northern Apennines (Italy) allowed us to better understand the role of the different (neo)tectonic and climatic events on the development and distribution of large landslides and lakes/peat bogs during the last 10 kyrs. Implementing a multidisciplinary approach that includes detailed acquisition of bedrock, geomorphological, topographic, and geophysical data, we detected and mapped ridge splitting, trenches, closed depressions, double ridges, and counterscarps. These morphostructures are interpreted as relevant factors influencing the distribution of sediments in historical times by shifting the position of the local equilibrium point (i.e., erosion vs. deposition) and have been correlated to a combination of climatic (i.e., increased flood events) and tectonic (i.e., spatial–temporal clustering of seismic shocks) forcing, starting from the demise of the Little Ice Age in the mid-19th century to the present-day situation. This approach allowed us to better describe the current changes in the hydrologic cycle, reaching beyond the limits of historical instrumental data. Furthermore, allowing the recognition and dating of recent tectonic vs. gravitational deformations, it also constitutes an integrative method for assessing the local geological hazard.
A Comprehensive HBIM to XR Framework for Museum Management and User Experience in Ducal Palace at Urbino
Authors: Ferretti Umberto , Quattrini Ramona , D’Alessio Mirco
Published: July 2022

Digitization of Cultural and Museum Heritage represents one of the most engaging challenges that would ensure a sustainable and ethical approach for next generations; digital technology’s pervasiveness imposes a comprehensive management of architectural heritage by producing facsimiles of buildings and artworks and by testing robust methodologies, with the final result of providing effective multipurpose models. In this context, the main goal of the present paper is to develop a semantically aware HBIM model that includes an intelligent objects parametrization, leveraging Extended Reality (XR) technologies and digital curation of contents to pursue the preservation of Cultural Heritage (CH) as a whole. This research is implemented in the case study of the Ducal Palace of Urbino that houses the National Gallery of Marche. It was chosen as a remarkable example of a museum located in an architectural complex with a relevant historical background and fine detail of shapes and mouldings. In Italy, as in other European scenarios, museums and their collections need suitable dissemination and management systems that take advantage of the recent digital paradigms. The challenging approach is to exploit existing platforms and software and to adopt a cognitive modelling process, able to develop tools supporting managers and museum curators while enabling user experiences using immersive and interactive features. In order to stress the workflow, this work proposes the use of families with high Level of Detail (LOD) and high Level of Information (LOI). The present article provides, as well, an accurate data enrichment process specifically designed for a gallery’s artworks such as paintings and sculptures, in line with the national and international policies. The study presents a robust and reproducible methodology for digital musealization and management, focusing, as future overall objectives, towards a greater merging between the HBIM approach and XR technologies, also facilitated by training new professional figures with more in-depth digital skills.
Superabsorbent Polymer Hydrogels for Sustainable Agriculture: A Review
Authors: Oladosu Yusuff , Rafii Mohd Y. , Arolu Fatai , Chukwu Samuel Chibuike , Salisu Monsuru Adekunle , Fagbohun Ifeoluwa Kayode , Muftaudeen Taoheed Kolawole , Swaray Senesie , Haliru Bello Sani
Published: July 2022

Water management is rapidly becoming one of the most pressing issues facing all countries in semi-arid and arid parts of the world. Global water consumption is predicted to increase by 50% in 2030, resulting in an acute water shortage. Presently, the agricultural sector consumes more than 70% of freshwater in most regions of the world, putting more pressure on water scarcity. Hydrogels are superabsorbent polymers that can hold plant nutrients and water when the soil around plant roots starts to dry out. Research evidence has revealed that water stored by hydrogel slowly returns to the soil, thereby increasing the volumetric water content of the soil. Hydrogel increases water use efficiency and irrigation intervals, decreases irrigation costs, and provides plants with the required nutrients and moisture. Numerous properties of hydrogels, including moderate water retention and high swelling, make them ideal as a safe delivery mechanism in agriculture for soil conditioners and agents for the controlled release of fertilizers. Numerous research publications on hydrogel polymer synthesis and its characteristics have been published. However, the current review emphasizes the critical role of superabsorbent hydrogels in an integrated approach for the balanced protection of seeds, plants, and soil to conserve the ecosystem.
Cultivar and Rootstock Effects on Growth, Yield and Nut Quality of Pistachio under Semi-Arid Conditions of South Mediterranean
Authors: Ouni Samiha , Noguera-Artiaga Luis , Carbonell-Barrachina Angel , Ouerghui Imen , Jendoubi Fadwa , Rhouma Ali , Chelli-Chaabouni Azza
Published: July 2022

Pistachio (Pistacia vera L.) cultivation under rainfed conditions of the South Mediterranean has not been studied in depth. Under changing climate conditions, knowledge of cultivar and rootstock performances allows for the optimal use of genetic resources to improve yield and nut quality. This study aimed to evaluate growth, yield, and fruit characteristics of ‘Mateur’ and ‘Achouri’ pistachio cultivars grafted on P. vera and P. atlantica rootstocks grown in northeastern Tunisia. The research was based on three years worth of monitoring of growth, yield and fruit quality. Results showed that annual bio-climatic features had significant effects on all studied parameters. The ‘Mateur’ cultivar showed higher vigor and fruit yield than ‘Achouri’. Fruit production was higher in P. atlantica rootstock for ‘Mateur’ but similar in both studied rootstocks for ‘Achouri’. Kernel fat contents (40.7–46.8%) and fatty acid profiles were low or not affected by cultivar, rootstock and their combination. Oleic acid (C18:1) was the major fatty acid (68.94–69.22%) in kernel oil. The unsaturated/saturated fatty acid and oleic/linoleic acid ratios indicated that nuts obtained had high quality. The lower performances of ‘Achouri’ cultivar in the studied conditions may be related to low acclimation ability of this cultivar. These conditions, however, seem to be suitable for both studied rootstocks.