bluuebunny/crossref_metadata_2025 huggingface dataset:
High-Performance Room-Temperature Conductometric Gas Sensors: Materials and Strategies
Authors: Vázquez-López Antonio , Bartolomé Javier , Cremades Ana , Maestre David
Published: June 2022

Chemiresistive sensors have gained increasing interest in recent years due to the necessity of low-cost, effective, high-performance gas sensors to detect volatile organic compounds (VOC) and other harmful pollutants. While most of the gas sensing technologies rely on the use of high operation temperatures, which increase usage cost and decrease efficiency due to high power consumption, a particular subset of gas sensors can operate at room temperature (RT). Current approaches are aimed at the development of high-sensitivity and multiple-selectivity room-temperature sensors, where substantial research efforts have been conducted. However, fewer studies presents the specific mechanism of action on why those particular materials can work at room temperature and how to both enhance and optimize their RT performance. Herein, we present strategies to achieve RT gas sensing for various materials, such as metals and metal oxides (MOs), as well as some of the most promising candidates, such as polymers and hybrid composites. Finally, the future promising outlook on this technology is discussed.
Temperature Sensors Based on Polymer Fiber Optic Interferometer
Authors: Szczerska Malgorzata
Published: June 2022

Temperature measurements are of great importance in many fields of human activities, including industry, technology, and science. For example, obtaining a certain temperature value or a sudden change in it can be the primary control marker of a chemical process. Fiber optic sensors have remarkable properties giving a broad range of applications. They enable continuous real-time temperature control in difficult-to-reach areas, in hazardous working environments (air pollution, chemical or ionizing contamination), and in the presence of electromagnetic disturbances. The use of fiber optic temperature sensors in polymer technology can significantly reduce the cost of their production. Moreover, the installation process and usage would be simplified. As a result, these types of sensors would become increasingly popular in industrial solutions. This review provides a critical overview of the latest development of fiber optic temperature sensors based on Fabry–Pérot interferometer made with polymer technology.
Qualitative and Arts-Based Evidence from Children Participating in a Pilot Randomised Controlled Study of School-Based Arts Therapies
Authors: Moula Zoe , Powell Joanne , Karkou Vicky
Published: June 2022

(1) Background: There is limited evidence on the impact of arts therapies as a tool for the prevention of mental health difficulties in childhood. This pilot randomised controlled study aimed to investigate the impact of arts therapies on children’s mental health and well-being; the qualitative and arts-based evidence is presented in this article. (2) Methods: Sixty-two children (aged 7–10) with mild emotional and behavioral difficulties were recruited across four primary schools and were randomly assigned to either art therapy, music therapy, dance movement therapy, or dramatherapy. All children were interviewed individually after their participation in arts therapies. (3) Results: Children verbally and artistically expressed that they experienced positive changes in their mental health and well-being, such as improved self-expression, safety, empowerment, hope, and optimism for the future. The arts were particularly important for expressing complex emotions and feelings that cannot be easily verbalised. Recommendations are provided to improve the quality of group arts therapies in future interventions, such as through smaller groups, longer sessions, and strategies to protect the therapeutic environment. (4) Conclusions: This study embraced all arts therapies as one research domain and set children’s verbal and non-verbal responses at the heart of outcome evaluation. This article highlights the importance of incorporating qualitative and arts-based methods to capture changes in children’s mental health well-being in future experimental studies.
Management of Harlequin Ichthyosis: A Brief Review of the Recent Literature
Authors: Tsivilika Maria , Kavvadas Dimitrios , Karachrysafi Sofia , Sioga Antonia , Papamitsou Theodora
Published: June 2022

Harlequin ichthyosis (HI) is a life-threatening genetic disorder that largely affects the skin of infants. HI is the most severe form of the autosomal recessive disorder known as ichthyosis. It is caused by mutations in the A12 cassette (lipid-transporter adenosine triphosphate-binding cassette A12). Neonates affected by this disease are born with specific morphological characteristics, the most prominent of which is the appearance of platelet keratotic scales separated by erythematous fissures. The facial features include eclabium, ectropion, a distinct flattened nose, and dysplastic ears. A common finding among those with HI is impaired skin barrier function. The purpose of the present narrative review is to assess the most recent literature regarding the management of HI. Emphasis is given to surgical management and consultation, to the indications for timing and surgical intervention, to the risks that are presented with surgery, and to the details of the surgical procedure itself. Management of HI requires a multidisciplinary team of experts, and specific guidelines are needed in order for the risks to be minimized and viability to be increased.
Early Physiotherapy Intervention Program for Preterm Infants and Parents: A Randomized, Single-Blind Clinical Trial
Authors: Ochandorena-Acha Mirari , Terradas-Monllor Marc , López Sala Laura , Cazorla Sánchez Maria Engracia , Fornaguera Marti Montserrat , Muñoz Pérez Isabel , Agut-Quijano Thais , Iriondo Martín , Casas-Baroy Joan Carles
Published: June 2022

Background: The early developmental interventions might be designed with a preventative approach to improving the development of at-risk preterm infants. The present study aimed to evaluate the effectiveness of an early physiotherapy intervention on preterm infants’ motor and global development, and on parents’ stress index. Methods: 48 infants were enrolled and randomized into two groups. Infants allocated to the intervention group received an early physiotherapy intervention, based on parental education sessions and tactile and kinesthetic stimulation during the NICU period, as well as a home-based activity program. The intervention commenced after 32 weeks post-menstrual age and ended at 2 months corrected age. Infants allocated to the control group received the usual care based on the NIDCAP-care. Results: No differences were found between groups on the Alberta Infant Motor Scale at 2- or 8-months corrected age. Infants in the intervention group showed more optimal fine motor, problem-solving, personal-social, and communication development at 1 month corrected age. Conclusions: The results showed no effect on the early physiotherapy intervention. Results might be related to the dose or intensity of the intervention, but also to the poor parental compliance. ClinicalTrials.gov NCT03313427.
Laryngeal Mask Ventilation during Neonatal Resuscitation: A Case Series
Authors: White Lauren , Gerth Katelyn , Threadgill Vicki , Bedwell Susan , Szyld Edgardo G. , Shah Birju A.
Published: June 2022

Positive pressure ventilation via a facemask is a critical step in neonatal resuscitation but may be a difficult skill for frontline providers or trainees to master. A laryngeal mask is an alternative to endotracheal intubation for some newborns who require an advanced airway. We present the first case series in the United States in which a laryngeal mask was successfully utilized during resuscitation of newborns greater than or equal to 34 weeks’ gestation following an interdisciplinary quality improvement collaborative and focused training program.
Expression, Purification, and Characterisation of South African Cassava Mosaic Virus Cell-to-Cell Movement Protein
Authors: Nankoo Nikita , Achilonu Ikechukwu Anthony , Rey Marie Emma Christine
Published: June 2022

South African cassava mosaic virus (SACMV) is a circular ssDNA bipartite begomovirus, whose genome comprises DNA-A (encodes six genes) and DNA-B (encodes BC1 cell-to-cell movement and BV1 nuclear shuttle proteins) components. A few secondary and tertiary structural and physicochemical characteristics of partial but not full-length begomovirus proteins have been elucidated to date. The full-length codon-optimised SACMV BC1 gene was cloned into a pET-28a (+) expression vector and transformed into expression host cells E. coli BL21 (DE3). The optimal expression of the full-length BC1-encoded movement protein (MP) was obtained via induction with 0.25 mM IPTG at an OD600 of ~0.45 at 37 °C for four hours. Denatured protein fractions (dialysed in 4 M urea), passed through an IMAC column, successfully bound to the nickel resin, and eluted using 250 mM imidazole. The protein was refolded using stepwise dialysis. The molecular weight of MP was confirmed to be 35 kDa using SDS–PAGE. The secondary structure of SACMV MP presented as predominantly β-strands. An ANS (1-anilino-8-naphthalene sulphonate)-binding assay confirmed that MP possesses hydrophobic pockets with the ability to bind ligands such as ANS (8-anilino-1-naphthalenesulphonic acid). A 2′ (3′)-N-methylanthraniloyl-ATP (mant-ATP) assay showed binding of mant-ATP to MP and indicated that, while hydrophobic pockets are present, MP also exhibits hydrophilic regions. Intrinsic tryptophan fluorescence indicated a significant conformational change in the denatured form of BC1 in the presence of ATP. In addition, a phosphatase assay showed that MP possessed ATPase activity.
Skill and Inter-Model Comparison of Regional and Global Climate Models in Simulating Wind Speed over South Asian Domain
Authors: Lakku Naresh K. G. , Behera Manasa R.
Published: June 2022

Global Climate Models (GCMs) and Regional Climate Models (RCMs) have been widely used in understanding the impact of climate change on wind-driven processes without explicit evaluation of their skill. This study is oriented towards assessing the skill of 28 GCMs and 16 RCMs, and more importantly to assess the ability of RCMs relative to parent GCMs in simulating near-surface wind speed (WS) in diverse climate variable scales (daily, monthly, seasonal and annual) over the ocean and land region of the South Asian (SA) domain (11° S–30° N and 26° E–107° E). Our results reveal that the climate models’ competence varies among climate variable scales and regions. However, after rigorous examination of all climate models’ skill, it is recommended to use the mean ensemble of MPI-ESM-MR, CSIRO-Mk3.6.0 and GFDL-ESM2G GCMs for understanding future changes in wave climate, coastal sediment transport and offshore wind energy potential, and REMO2009 RCM driven by MPI-M-MPI-ESM-LR for future onshore wind energy potential assessment and air pollution modelling. All parent GCMs outperform the RCMs (except CCCma-CanESM2(RCA4)) over the ocean. In contrast, most RCMs show significant added value over the land region of the SA domain. Further, it is strongly discouraged to use the RCM WS simulations in modelling wind-driven processes based on their parent GCM’s skill over the ocean.
Influence of Artificial Aging on Mechanical Properties of Six Resin Composite Blocks for CAD/CAM Application
Authors: Grzebieluch Wojciech , Kowalewski Piotr , Sopel Mirosław , Mikulewicz Marcin
Published: June 2022

(1) The interactions in the oral cavity between resin composite blocks for CAD/CAM application and saliva, biofilm, and chemicals and their influence on mechanical properties are still mostly unknown. The purpose of this study is to examine the impact of artificial aging on the flexural strength, flexural modulus, hardness, Weibull modulus, and probability of failure of six resin composite CAD/CAM materials. (2) The aging was conducted by storing the specimens in water at 37 °C for 3 months, then a 3-point bending test was applied and measured. The microhardness was measured with a Vickers microhardness tester. Weibull analysis (according to ISO) was also performed. The shape and scale parameters were calculated. (3) After aging, the flexural strength values ranged from 95.51 (SD 9.07) MPa for the aged Shofu Block HC (HC) to 160.28 (SD 10.37) MPa for non-aged Gandio blocks (GR), and the flexural modulus values ranged from 7.75 (SD 0.19) GPa for HC to 16.77 (SD 0.60) GPa for GR. The microhardness (HV01) ranged from 72.71 (SD 1.43) for the Katana Avencia Block (AV) to 140.50 (SD 5.51) for GR. After aging, the Weibull characteristic strength ranged from 99.47 MPa for HC to 169.25 MPA for Brilliant Crios (CR). (4) Water storage led to a decrease in flexural strength and characteristic strength and slightly affected the flexural modulus. Gandio Blocks, Tetric CAD, and Brilliant Crios presented higher flexural strength than others.
On the Stability and Numerical Scheme of Fractional Differential Equations with Application to Biology
Authors: Hattaf Khalid
Published: June 2022

The fractional differential equations involving different types of fractional derivatives are currently used in many fields of science and engineering. Therefore, the first purpose of this study is to investigate the qualitative properties including the stability, asymptotic stability, as well as Mittag–Leffler stability of solutions of fractional differential equations with the new generalized Hattaf fractional derivative, which encompasses the popular forms of fractional derivatives with non-singular kernels. These qualitative properties are obtained by constructing a suitable Lyapunov function. Furthermore, the second aim is to develop a new numerical method in order to approximate the solutions of such types of equations. The developed method recovers the classical Euler numerical scheme for ordinary differential equations. Finally, the obtained analytical and numerical results are applied to a biological nonlinear system arising from epidemiology.
Magnetic Trails: A Novel Artificial Pheromone for Swarm Robotics in Outdoor Environments
Authors: Brenes-Torres Juan Carlos , Blanes Francisco , Simo José
Published: June 2022

Swarm robotics finds inspiration in nature to model behaviors, such as the use of pheromone principles. Pheromones provide an indirect and decentralized communication scheme that have shown positive experimental results. Real implementations of pheromones have suffered from slow sensors and have been limited to controlled environments. This paper presents a novel technology to implement real pheromones for swarm robotics in outdoor environments by using magnetized ferrofluids. A ferrofluid solution, with its deposition and magnetization system, is detailed. The proposed substance does not possess harmful materials for the environment and can be safely handled by humans. Validation demonstrates that the substance represents successfully pheromone characteristics of locality, diffusion and evaporation on several surfaces in outdoor conditions. Additionally, the experiments show an improvement over the chemical representation of pheromones by using magnetic substances and existing magnetometer sensor technologies, which provide better response rates and recovery periods than MOX chemical sensors. The present work represents a step toward swarm robotics experimentation in uncontrolled outdoor environments. In addition, the presented pheromone technology may be use by the broad area of swarm robotics for robot exploration and navigation.
Assisting Educational Analytics with AutoML Functionalities
Authors: Garmpis Spyridon , Maragoudakis Manolis , Garmpis Aristogiannis
Published: June 2022

The plethora of changes that have taken place in policy formulations on higher education in recent years in Greece has led to unification, the abolition of departments or technological educational institutions (TEI) and mergers at universities. As a result, many students are required to complete their studies in departments of the abolished TEI. Dropout or a delay in graduation is a significant problem that results from newly joined students at the university, in addition to the provision of studies. There are various reasons for this, with student performance during studies being one of the major contributing factors. This study was aimed at predicting the time required for weak students to pass their courses so as to allow the university to develop strategic programs that will help them improve performance and graduate in time. This paper presents various components of educational data mining incorporating a new state-of-the-art strategy, called AutoML, which is used to find the best models and parameters and is capable of predicting the length of time required for students to pass their courses using their past course performance and academic information. A dataset of 23,687 “Computer Networking” module students was used to train and evaluate the classification of a model developed in the KNIME Analytics (open source) data science platform. The accuracy of the model was measured using well-known evaluation criteria, such as precision, recall, and F-measure. The model was applied to data related to three basic courses and correctly predicted approximately 92% of students’ performance and, specifically, students who are likely to drop out or experience a delay before graduating.
Effects of Recrystallization on Tensile Anisotropic Properties for IN738LC Fabricated by Laser Powder Bed Fusion
Authors: Hibino Shinya , Fujimitsu Kazushige , Azuma Makoto , Ishimoto Takuya , Nakano Takayoshi
Published: June 2022

This study demonstrates the effects of recrystallization on tensile properties and the anisotropy of IN738LC, a typical γ’ precipitation-strengthened alloy, at both room and high temperatures via the laser powder bed fusion process. The nonrecrystallized columnar microstructure, subjected to standard IN738LC heat treatment up to 1120 °C, and the almost fully recrystallized microstructure, heat-treated at 1204 °C, were compared. The tensile properties strongly depend on whether recrystallization was completed as well as the tensile direction. This can be explained by microstructure characterization, featuring the Taylor factor in the tensile direction, average grain size estimated by ellipse approximation, and the relationship between the grain shape and tensile direction. The shape of the recrystallized grains and the distribution of coarse MC carbides inside the recrystallized grains were determined by the microstructure in an as-built state. In high-temperature tensile tests conducted in the horizontal direction, the separation of the columnar grains caused a brittle fracture. In contrast, dimples were observed at the fracture surface after recrystallization, indicating scope for further improvement in ductility.
Experimental Investigation and Prediction of Mechanical Properties in a Fused Deposition Modeling Process
Authors: Tura Amanuel Diriba , Lemu Hirpa G. , Mamo Hana Beyene
Published: June 2022

Additive manufacturing, also known as three-dimensional printing, is a computer-controlled advanced manufacturing process that produces three-dimensional items by depositing materials directly from a computer-aided design model, usually in layers. Due to its capacity to manufacture complicated objects utilizing a wide range of materials with outstanding mechanical qualities, fused deposition modeling is one of the most commonly used additive manufacturing technologies. For printing high-quality components with appropriate mechanical qualities, such as tensile strength and flexural strength, the selection of adequate processing parameters is critical. Experimentally, the influence of process parameters such as the raster angle, printing orientation, air gap, raster width, and layer height on the tensile strength of fused deposition modeling printed items was examined in this work. Through analysis of variance, the impact of each parameter was measured and rated. The system’s response was predicted using an adaptive neuro-fuzzy technique and an artificial neural network. In Minitab software, the Box-Behnken response surface experimental design was used to generate 46 experimental trials, which were then printed using acrylonitrile butadiene styrene polymer materials on a three-dimensional forge dreamer II fused deposition modelling printing machine. The results revealed that the raster angle, air gap, and raster width had significant impacts on the tensile strength. The adaptive neuro-fuzzy approach and artificial neural network predicted tensile strength accurately with an average percentage error of 0.0163 percent and 1.6437 percent, respectively. According to the findings, the model and experimental data are in good agreement.
Structural, Interfacial, and Electrochemical Stability of La0.3Ca0.7Fe0.7Cr0.3O3-δ Electrode Material for Application as the Oxygen Electrode in Reversible Solid Oxide Cells
Authors: Ansari Haris Masood , Avila-Brande David , Kelly Steve , Addo Paul Kwesi , Molero-Sánchez Beatriz
Published: June 2022

A detailed study aimed at understanding the structural, interfacial, and electrochemical performance stability of La0.3Ca0.7Fe0.7Cr0.3O3-δ (LCFCr) electrode material for application as the oxygen electrode in reversible solid oxide cells (RSOCs) is presented. Specifically, emphasis is placed on the stability of the LCFCr oxygen electrode during oxygen evolution (electrolysis mode), whereby many known electrode materials are known to fail due to delamination. The porous microstructure of the electrode was characterized by nanoscale X-ray microscopy (XRM) to reveal the percentage porosity, pore connectivity, average pore size, and electrochemical surface area, etc. Under polarization in a two-electrode symmetrical-cell configuration, while the working electrode was under anodic polarization, a very stable performance was observed at a cell potential of 0.2 V, although increasing the cell potential to 0.65 V caused significant performance degradation. This degradation was reversible when the cell was run at open circuit for 10 h. High-resolution transmission electron microscopy and wavelength dispersive spectroscopy revealed that the working electrode (LCFCr)/electrolyte (GDC) interface was structurally and chemically stable after hundreds of hours under polarization with no interdiffusion of the various species observed across the interface, hence rendering LCFCr a viable alternative for the oxygen electrode in RSOCs.
Effect of Pine Forest Management on the Diversity of Ambrosia Beetles (Curculionidae: Platypodinae and Scolytinae) in East Java, Indonesia
Authors: Tarno Hagus , Setiawan Yogo , Putri Rafika Andini Alvin , Nardo Alvin , Tsamarah Fauziah Ghina , Asri Jenica , Wang Jianguo
Published: June 2022

In Indonesia, Pinus merkusii, the Sumatran pine, is the most important forest tree in the industry. This study aimed to determine the effects of pine forest types and sites on the abundance of ambrosia beetles in four pine forest types and sites, i.e., the protected pine forest (PF1 & PF2), the pine forests-based agroforestry (PA1 & PA2), the tapped-pine forests (TP1 & TP2), and the non-tapped pine forests (NP1 & NP2). The environmental variables and the stand-ages were also studied related to the number of ambrosia beetle individuals and species. Twenty ethanol baited traps were installed to attract and collect the ambrosia beetles in each pine forest site. The descriptive analysis, the nested analysis of variance, and correlation analysis were applied to determine the differences in ambrosia beetle abundance between the pine forest sites, the relationship between the stand-age, humidity, elevation, and temperature to the number of individuals and species of ambrosia beetle, and species diversity of ambrosia beetles in each pine forest type. The Jaccard distance was calculated to investigate the dissimilarity between each pine forest site based on the ambrosia beetle species composition and abundance. The 999 ambrosia beetles (15 species) were reported in this study. Two were Platypodinae, and 13 were Scolytinae subfamilies. Xyleborinus andrewesi was the most abundant ambrosia beetle. The abundance of ambrosia beetles was significantly different between pine forest types (F = 89.23, p < 0.001). The population of ambrosia beetles was the highest in the protected pine forest, and the lowest one was identified in the non-tapped pine forest and the pine forest-based agroforestry. Based on the pine forest types, the highest number of ambrosia beetle species was in the protected pine forest (13 species), and the lowest one was in the pine forest-based agroforestry (7 species). The highest and the lowest numbers of ambrosia beetles were in the protected pine forest site 2 (11 species) and in the pine forest–based agroforestry site 2 & the non-tapped pine forest site 1 (3 species). The highest dissimilarity was shown by the highest distances between the pine forest-based agroforestry site 1 and the non-tapped pine forest site 1 based on the Jaccard distance. The stand-age, humidity, and temperature potentially effected the number of ambrosia beetle individuals and species. The elevation also indicated to influence the number of ambrosia beetle individuals however it isn’t happened on the number of ambrosia beetle species. This study contributes to identify the suitable pine forest types related to the ambrosia beetle management.
How Trophic Conditions Affect Development of Fire Salamander (Salamandra salamandra) Larvae: Two Extreme Cases
Authors: Cogliati Paola , Barzaghi Benedetta , Melotto Andrea , Ficetola Gentile Francesco , Manenti Raoul
Published: June 2022

Reduced trophic resources can pose relevant constraints to the development of freshwater animals with complex life cycles. For amphibians, food deprived environments, such as high-altitude ponds and springs and groundwaters are frequently used for breeding. The aim of this study is to outline trophic conditions leading to extreme cases of delayed larval development and increased size at metamorphosis of a European widespread amphibian, the fire salamander (Salamandra salamandra). We collected 150 fire salamander larvae, split them in two groups, one with high and one with low trophic resource availability. We then observed the effects of nutritional conditions on larval development recording time to metamorphosis and average day growth. Moreover, in the field, we surveyed larvae growth and size at metamorphosis in two artificial subterranean sites with low prey availability. Trophic conditions strongly affected larval development and under low food treatment time to metamorphosis reached up to 416 days. In the subterranean environments we observed a similar pattern, with larvae requiring more than one year to attain metamorphosis but reaching unexpected large sizes. Environmental trophic conditions experienced during early stages can induce strong delay in metamorphosis of the fire salamander; this plasticity makes fire salamander larvae optimal models for comparative studies and cross-environment experiments.
Differential Diagnosis of Thyrotoxicosis by Machine Learning Models with Laboratory Findings
Authors: Kim Jinyoung , Baek Han-Sang , Ha Jeonghoon , Kim Mee Kyoung , Kwon Hyuk-Sang , Song Ki-Ho , Lim Dong-Jun , Baek Ki-Hyun
Published: June 2022

Differential diagnosis of thyrotoxicosis is essential because therapeutic approaches differ based on disease etiology. We aimed to perform differential diagnosis of thyrotoxicosis using machine learning algorithms with initial laboratory findings. This is a retrospective study through medical records. Patients who visited a single hospital for thyrotoxicosis from June 2016 to December 2021 were enrolled. In total, 230 subjects were analyzed: 124 (52.6%) patients had Graves’ disease, 65 (28.3%) suffered from painless thyroiditis, and 41 (17.8%) were diagnosed with subacute thyroiditis. In consideration that results for the thyroid autoantibody test cannot be immediately confirmed, two different models were devised: Model 1 included triiodothyronine (T3), free thyroxine (FT4), T3 to FT4 ratio, erythrocyte sediment rate, and C-reactive protein (CRP); and Model 2 included all Model 1 variables as well as thyroid autoantibody test results, including thyrotropin binding inhibitory immunoglobulin (TBII), thyroid-stimulating immunoglobulin, anti-thyroid peroxidase antibody, and anti-thyroglobulin antibody (TgAb). Differential diagnosis accuracy was calculated using seven machine learning algorithms. In the initial blood test, Graves’ disease was characterized by increased thyroid hormone levels and subacute thyroiditis showing elevated inflammatory markers. The diagnostic accuracy of Model 1 was 65–70%, and Model 2 accuracy was 78–90%. The random forest model had the highest classification accuracy. The significant variables were CRP and T3 in Model 1 and TBII, CRP, and TgAb in Model 2. We suggest monitoring the initial T3 and CRP levels with subsequent confirmation of TBII and TgAb in the differential diagnosis of thyrotoxicosis.
The Effect of Fatigue on Lower Limb Joint Stiffness at Different Walking Speeds
Authors: Shao Enze , Lu Zhenghui , Cen Xuanzhen , Zheng Zhiyi , Sun Dong , Gu Yaodong
Published: June 2022

The aim of this study was to assess the stiffness of each lower limb joint in healthy persons walking at varying speeds when fatigued. The study included 24 subjects (all male; age: 28.16 ± 7.10 years; height: 1.75 ± 0.04 m; weight: 70.62 ± 4.70 kg). A Vicon three-dimensional analysis system and a force plate were used to collect lower extremity kinematic and kinetic data from the participants before and after walking training under various walking situations. Least-squares linear regression equations were utilized to evaluate joint stiffness during single-leg support. Three velocities significantly affected the stiffness of the knee and hip joint (p < 0.001), with a positive correlation. However, ankle joint stiffness was significantly lower only at maximum speed (p < 0.001). Hip stiffness was significantly higher after walking training than that before training (p < 0.001). In contrast, knee stiffness after training was significantly lower than pre-training stiffness in the same walking condition (p < 0.001). Ankle stiffness differed only at maximum speed, and it was significantly higher than pre-training stiffness (p < 0.001). Walking fatigue appeared to change the mechanical properties of the joint. Remarkably, at the maximum walking velocity in exhaustion, when the load on the hip joint was significantly increased, the knee joint’s stiffness decreased, possibly leading to joint instability that results in exercise injury.
Maternal HPV Infection and the Estimated Risks for Adverse Pregnancy Outcomes—A Systematic Review
Authors: Popescu Simona Daniela , Boiangiu Andreea Gratiana , Sima Romina-Marina , Bilteanu Liviu , Vladareanu Simona , Vladareanu Radu
Published: June 2022

Background: Human Papilloma Virus (HPV) represents the most prevalent genital infection in young women of reproductive age. Objective: This systematic review aims to estimate the effect of HPV infection during pregnancy and assess the correlation between HPV and adverse pregnancy outcomes. Materials and methods: The search strategy has been developed based on the PICOS framework: Population (pregnant women infected with HPV), Intervention (HPV infection confirmed by molecular tests), Comparator (pregnant women without HPV infection), Outcomes (adverse pregnancy outcomes) and Study design (observational studies). We searched PubMed, Web of Science, and Scopus databases on 8 January 2022 by using the following keywords: “HPV”, “prematurity”, “preterm birth”, “miscarriage”, “premature rupture of membranes”, “adverse pregnancy outcome”, “low birth weight”, “fetal growth restriction”, “pregnancy-induced hypertensive disorders”, “preeclampsia”. Selection criteria were HPV infection confirmed within maximum 2 years before pregnancy with a molecular test and adverse pregnancy outcomes. (Results: Although numerous studies are conducted on this topic, data are still controversial regarding identifying maternal HPV infection as a risk factor for adverse pregnancy outcomes. More prospective large cohort studies are needed to prove a causative relationship.
Acute Heart Failure, 90-Day Mortality, and Gravitational Ischemia in the Brain
Authors: Jaster J. Howard , Ottaviani Giulia
Published: June 2022

During the 90 days following hospitalization for acute heart failure, the ejection fraction and type of discharge medications have been shown in clinical trials to have little effect on mortality. We examined the recent literature addressing brain-related etiologies of sudden death following heart failure. Two mechanisms of sudden unexpected death have been suggested to possibly result from four significant influences on pathophysiology in the brain. The two causes of sudden death are (1) severe cardiac arrhythmia and (2) neurogenic pulmonary edema. They are both mediated through the brainstem autonomic nuclei generally and executed specifically through the dorsal motor nucleus of the vagus nerve. The four significant influences on pathophysiology, all contributing to ischemia in the brainstem autonomic nuclei, are: (1) Hyper-stimulation of neurons in the solitary tract nucleus, increasing their metabolic requirements; (2) Inadequate blood flow at a vascular watershed terminus, perfusing the autonomic nuclei; (3) Additionally decreased blood flow, globally throughout the brain, following vasoconstriction related to relative hyperventilation and decreased pCO2 levels; (4) Gravitational ischemia in the brainstem caused by the weight of the cerebral hemispheres sitting above the brainstem. Changes in head tilt release gravitational ischemia in the brain. There is no specific head position relative to gravity that is considered favorable or unfavorable for an extended period of time, longer than 24 h. Even a small degree of head elevation, used in managing pulmonary congestion, may increase gravitational ischemia in the posterior fossa and brainstem. In this paper, we suggest a new and important research avenue for intervening in cardiac arrhythmias and preventing their occurrence through the non-invasive use of head-tilting and other head repositioning maneuvers. This could potentially help many geriatric patients with heart failure, who have decreased mobility in bed, and who tend to stay in one position longer, thereby increasing gravitational ischemia in the brain.
Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction
Authors: Rustam Furqan , Ishaq Abid , Munir Kashif , Almutairi Mubarak , Aslam Naila , Ashraf Imran
Published: June 2022

Cardiovascular diseases (CVDs) have been regarded as the leading cause of death with 32% of the total deaths around the world. Owing to the large number of symptoms related to age, gender, demographics, and ethnicity, diagnosing CVDs is a challenging and complex task. Furthermore, the lack of experienced staff and medical experts, and the non-availability of appropriate testing equipment put the lives of millions of people at risk, especially in under-developed and developing countries. Electronic health records (EHRs) have been utilized for diagnosing several diseases recently and show the potential for CVDs diagnosis as well. However, the accuracy and efficacy of EHRs-based CVD diagnosis are limited by the lack of an appropriate feature set. Often, the feature set is very small and unable to provide enough features for machine learning models to obtain a good fit. This study solves this problem by proposing the novel use of feature extraction from a convolutional neural network (CNN). An ensemble model is designed where a CNN model is used to enlarge the feature set to train linear models including stochastic gradient descent classifier, logistic regression, and support vector machine that comprise the soft-voting based ensemble model. Extensive experiments are performed to analyze the performance of different ratios of feature sets to the training dataset. Performance analysis is carried out using four different datasets and results are compared with recent approaches used for CVDs. Results show the superior performance of the proposed model with 0.93 accuracy, and 0.92 scores each for precision, recall, and F1 score. Results indicate both the superiority of the proposed approach, as well as the generalization of the ensemble model using multiple datasets.
Prostate Cancer Diagnosis, Treatment and Outcomes in Patients with Previous or Synchronous Colorectal Cancer: A Systematic Review of Published Evidence
Authors: Celentano Giuseppe , Creta Massimiliano , Napolitano Luigi , Abate Marco , La Rocca Roberto , Capece Marco , Mirone Claudia , Morra Simone , Di Bello Francesco , Cirillo Luigi , Mangiapia Francesco , Califano Gianluigi , Collà Ruvolo Claudia , Sagnelli Caterina , Sica Antonello , Calogero Armando , Iacono Fabrizio , Fusco Ferdinando , Mirone Vincenzo , Longo Nicola
Published: June 2022

The management of patients with prostate cancer (PCa) and previous or synchronous colorectal cancer (CRC) represents a challenging issue. A systematic review was performed in May 2022 to summarize available evidence about the diagnosis, management, and outcomes of these patients. Twenty-seven studies involving 252 patients were identified. Overall, 163 (64.7%) and 89 (35.3%) patients had synchronous and metachronous PCa and CRC, respectively. In patients with synchronous diseases, PCa treatment involved active surveillance in 1 patient, radical prostatectomy (RP) in 36 patients, radiotherapy (RT) in 60 patients, RP plus RT in 1 patient, proton beam therapy in 1 patient, and cryoablation in 1 patient. In patients with previous CRC treatment, prostate biopsy was mostly performed by transrectal approach (n = 24). The trans-perineal and suprapubic approaches were adopted in 12 and 6 cases, respectively. Surgical PCa treatment in these cases involved endoscopic extraperitoneal RP, robot-assisted RP, and not otherwise specified RP in 30, 15, and 2 cases, respectively. Biochemical recurrence rates ranged from 20% to 28%. Non-surgical PCa treatment options included brachytherapy, RT plus androgen deprivation therapy, and RT alone in 23, 2 and 4 patients, respectively. PCa specific survival was reported by one study and was 100%.
Superb Microvascular Imaging (SMI) Compared with Color Doppler Ultrasound for the Assessment of Hepatic Artery in Pediatric Liver Transplants: A Feasibility Study
Authors: Collaku Elona , Simonini Roberto , Balbi Maurizio , Bonaffini Pietro Andrea , Valle Clarissa , Morzenti Cesare , Faseli Romina Fatima , Ferrari Alberto , Ippolito Davide , Marra Paolo , Barbui Tiziano , Sironi Sandro
Published: June 2022

(1) Background: Despite progression in surgical techniques and immunological treatments, hepatic artery (HA) thrombosis and stenosis still develop as an early or late liver transplant (LT) complication. We aimed to compare superb microvascular imaging (SMI) with conventional Doppler imaging (CDI) in the assessment of HA in a cohort of pediatric patients undergoing follow-up ultrasound (US) for LT. (2) Methods: This prospective, observational study included 73 pediatric LT recipients (median age, 7 years; IQR, 5.8 years; 35 females) who underwent US during LT follow-up from March to December 2019. For each examination, CDI and SMI were separately assessed in terms of HA visibility and spectral waveform morphology (SWM). The former was scored based on HA discrimination from the blooming signal of the surrounding vessels, as follows: 0, not visible; 1, majority course hardly distinguishable; and 2, majority course clearly distinguishable. The latter was scored on a two-point scale: 0, combined venous and arterial SWM, and 1, pure arterial SWM. The patient’s overall score was finally calculated by adding the two individual scores. (3) Results: Both the absolute scores and frequency of overall scores equal to 3 (maximum global score) were higher using SMI compared with CDI. The median overall score was 3 for SMI and 2 for CDI (p = 0.011; IQR = 1). An overall score equal to 3 was obtained in 74% and 49.3% of the study population using SMI and CDI, respectively (p = 0.002). This was attributable to a better score in HA visibility (p = 0.007). (4) Conclusions: SMI has shown promise for assessing HA in pediatric LT recipients, possibly serving as a complementary non-invasive tool of CDI in everyday practice.
Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users’ Temporal and Spatial Flow
Authors: Alfaia Rodrigo Dias , Souto Anderson Vinicius de Freitas , Cardoso Evelin Helena Silva , Araújo Jasmine Priscyla Leite de , Francês Carlos Renato Lisboa
Published: June 2022

The rapid growth of data traffic due to the demands of new services and applications poses new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution to support wireless networks during congestion, especially in scenarios where the region has high traffic peaks due to the temporal and spatial flow of users. In this paper, an intelligent machine-learning-based system is proposed to deploy UAV base stations (UAV-BS) to temporarily support the mobile network in regions suffering from the congestion effect caused by the high density of users. The system includes two main steps, the load prediction algorithm (LPA) and the UAV-BSs clustering and positioning algorithm (UCPA). In LPA, the load history generated by the mobile network is used to predict which macrocells are congested. In UCPA, planning is performed to calculate the number of UAV BSs needed based on two strategies: naïve and optimized, in addition to calculating the optimal positioning for each device requested to support the overloaded macrocells. For prediction, we used two models, generalized regression neural networks (GRNN) and random forest, and the results showed that both models were able to make accurate predictions, and the random forest model was better with an accuracy of over 85%. The results showed that the intelligent system significantly reduced the overhead of the affected macrocells, improved the quality of service (QoS), and reduced the probability of blocking users, as well as defined the preventive scheduling for the UAV BSs, which benefited the scheduling and energy efficiency.
The Contribution of Higher Education to Sustainability: The Development and Assessment of Sustainability Competences in a University Case Study
Authors: Kioupi Vasiliki , Voulvoulis Nikolaos
Published: June 2022

Universities can make a significant contribution to sustainability, and the development of sustainability competences in their graduates should be a key outcome of their courses. We propose an assessment framework for enabling and evaluating the attainment of sustainability competences in University students. We outline its six steps, offering tools on how to assess the alignment of University programs’ Learning Outcomes (LOs) to sustainability and how translate them into competences for sustainability. We provide approaches to evaluate existing assessment methods in terms of enabling students to develop and apply their competences, guidance on how to conduct the assessments to collect data on student performance and eventually how to use the data, and evidence collected to evaluate if the students are developing the intended competences. We illustrate the application of the assessment tool in a University case study and we draw conclusions on the evidence it offers to how higher education practitioners can benefit from its use.
The Professional Identity of Academic Lecturers in Higher Education Post-COVID-19 in Israel
Authors: Giladi Ariela , Davidovitch Nitza , Ben-Meir Lilach
Published: June 2022

Professional identity development in higher education and its implications is a growing interest in the literature. Research indicates that the professional identity of academic lecturers has been unstable and influenced by a variety of personal and contextual factors. With a lack of a clear definition of professional identity in literature, we composed The Professional Identity COVID Scale (PI-COVID) specifically designed to measure lecturers’ professional identity in dealing with the COVID-19 pandemic. The items focused on three components: occupational security, academic skills, and combining teaching and research. The purpose of the present study was to examine the associations between lecturers’ age, years of seniority, academic rank, and work permanence on the professional identity of academic lecturers post-COVID-19 in Israel. Participants were 95 academic lecturers teaching in universities and colleges. Using self-report questionnaires, participants filled the PI-COVID scale. Results showed that age is negatively and significantly associated with PI-COVID. Moreover, seniority years, academic rank, and work permanence are associated with more COVID-19 challenges. Findings showed that lecturers without work permanence and with lower academic rank reported higher occupational insecurity during the pandemic, which emphasizes the vulnerability of younger lecturers and their need for confidence and stability, especially during a crisis event. Thus, our study contributes to the existing literature by better understanding the post-COVID-19 professional identity of academic lecturers. Implications and limitations for future research are discussed.
Body Composition and Nutrients Dietary Intake Changes during COVID-19 Lockdown in Spanish Healthy Postmenopausal Women
Authors: Acedo Cristina , Roncero-Martín Raul , Sánchez-Fernández Antonio , Mendoza-Holgado Cristina , Pedrera-Canal María , López-Espuela Fidel , Rey-Sánchez Purificación , Pedrera-Zamorano Juan D. , Puerto-Parejo Luis M. , Moran Jose M. , Lavado-García Jesús M.
Published: June 2022

(1) Background: During the COVID-19 lockdown, high rates of physical inactivity and dietary imbalances were reported in both adults and adolescents. Physical separation and isolation not only have a significant impact on the performance of physical activity but also affect people’s lives, particularly their dietary habits. In the present study, we aimed to examine whether or not bioelectrical impedance-derived body composition parameters and dietary habits were affected during the pandemic-associated lockdown in postmenopausal Spanish women. (2) Methods: Sixty-six women participated in the study (58.7 ± 5.4 years) before (between July–October 2019) and after (August–October 2020) the lockdown, which occurred as a consequence of the COVID-19 pandemic in Spain. Body composition parameters were measured by bioelectrical impedance analysis while dietary intake of proteins, fat, carbohydrates, and energy was measured by a food frequency questionnaire. (3) Results Regarding body composition, no differences were observed in fat mass in % (mean increase 0.05 (2.74); p = 0.567), fat mass in kg (mean increase −0.07 (4.137); p = 0.356) or lean mass in kg (mean increase 0.20 (1.424); p = 0.636). Similarly, no statistically significant differences were observed between the two study periods for any of the nutrients studied, nor for energy intake (p > 0.05 in all cases). (4) Conclusions: After comprehensively assessing body composition and dietary intake of protein, fat, carbohydrates, and energy before and after COVID-19 lockdown in healthy adult women in Spain no changes in the parameters studied were observed during the period analyzed in the women examined.