bluuebunny/crossref_metadata_2025 huggingface dataset:
An Effective Method of Aerobic Capacity Development: Combined Training with Maximal Aerobic Speed and Small-Sided Games for Amateur Football Players
Authors: Arslanoglu Cansel , Celgin Gurkan Selim , Arslanoglu Erkal , Demirci Nevzat , Karakas Fatih , Dogan Erol , Cakaloglu Erdem , Sahin Fatma Nese , Kucuk Hamza
Published: October 2024

This study aimed to investigate the effects of combined training with maximal aerobic speed and small-sided games on football players’ aerobic capacity development. Methods: The football players were divided into three groups as a combined training group (n = 20) (Mean ± SD age 23.40 ± 2.92 yrs, BMI was 23.67 ± 1.59 kg/m2, mass: 74.80 ± 5.46 kg, height: 177.73 ± 4.31 cm), maximal aerobic speed group (n = 20) (Mean ± SD age 23.93 ± 2.46 yrs, BMI was 23.32 ± 1.42 kg/m2, mass: 72.66 ± 5.38 kg, height: 176.46 ± 4.99 cm) and regular training group (n = 20) (Mean ± SD age 24.80 ± 5.84 yrs, BMI was 22.87 ± 1.67 kg/m2, mass: 73.06 ± 6.74 kg, height: 178.33 ± 7.98 cm). In addition to regular football training, maximal aerobic speed training with small-sided games was applied to the combined training group (CT) and only maximal aerobic speed training was applied to the maximal aerobic speed group (MAS) twice a week for 12 weeks. The normal training group (NT) continued their routine football training programme. All participants applied the Yo-Yo IR1 test in the pre-test and post-test of the study. As a result of normality tests, it was determined that the data showed normal distribution, and the ANOVA test and Tukey’s multiple comparison test were used in the intergroup evaluation. Results: When the Yo-Yo IR1 Test pre-test and post-test results were analysed, maximal aerobic speed training with small-sided games (CT) and maximal aerobic speed (MAS) groups were significantly higher compared to the normal training (NT) group regarding training load, running distance, and VO2max value among the football players (p = 0.001). There was no difference in the normal training group (p > 0.05). As a result, it was determined that combined training with maximal aerobic speed, small-sided games, and only maximal aerobic speed effectively improved football players’ aerobic capacity and general performance.
Physicochemical Properties and Nutritional Relevance of Rice Beverages Available on the Market
Authors: Najman Katarzyna , Ponikowska Paulina , Sadowska Anna , Hallmann Ewelina , Wasiak-Zys Grażyna , Świderski Franciszek , Buczak Krzysztof
Published: October 2024

Recently, more consumers have reached for plant-based milk substitutes, mainly for health, dietary, and flavour reasons. This study aimed to evaluate the physicochemical and bioactive properties and sensory profile of 10 selected rice drinks available on the EU market. Assessment of the physicochemical characteristics included measurement of soluble solids, pH, osmolality, foaming properties and colour parameters. Analysis of bioactive compounds involved the determination of polyphenolic compounds and antioxidant activity. Based on the manufacturer’s data, the composition and nutritional value of the above-mentioned beverages were also analysed in this study. The tested beverages were characterised by a low fat content of 0.6–1.3 g/100 mL, derived mainly from added sunflower oil, but are a good source of energy (energy value of 37–55 kcal/100 mL), derived mainly from naturally occurring carbohydrates whose content ranged from 8.0–11.0 g/100 mL. The protein content of all rice drinks was shallow, not exceeding 0.5 g/100 mL. Of the ten rice drinks analysed, in only two were vitamins B12 and D added (0.38 μg/100 mL and 0.75 μg/100 mL, respectively) and in only three was calcium (120 mg/100 mL) added. In evaluating the physicochemical characteristics, the drinks showed a pH close to neutral (mean 6.85 ± 0.01). The average soluble solids content was about 11%, which was determined by the carbohydrate content. The osmolality of the beverages averaged 324.73 ± 70.17 mOsm/kg H2O, with four beverages classifiable as hypertonic ones (osmolality > 330 mOsm/kg H2O), three as isotonic ones (with osmolality between 270–330 mOsm/kg H2O), and three as hypotonic beverages (osmolality < 270 mOsm/kg H2O). Only two rice drinks evaluated in this study showed foaming properties. The high whiteness index (81.79 ± 2.55) indicated high white colour saturation of the tested beverages. The rice drinks were characterised by a relatively diverse sensory quality regarding aroma and flavour notes. The overall sensory quality was rated highest for the beverages with the highest sugar content. The tested beverages were characterised by a low content of total polyphenols (average 1.40 ± 0.62 mg GAE/100 mL) and relatively high antioxidant activity (average 418.33 ± 59.65 µM TEAC/100 mL). Based on the research conducted and the analysis of the manufacturer’s data, it can be concluded that the rice drinks studied in this paper can be included in the daily diet, providing a rehydrating beverage that shows free radical-neutralizing properties and provides carbohydrates. At the same time, it should be highlighted that the studied drinks have a low nutritional value and cannot be recommended as milk substitutes due to low protein levels and lack of milk-specific vitamins and minerals.
DNA Damage, Cell Death, and Alteration of Cell Proliferation Insights Caused by Copper Oxide Nanoparticles Using a Plant-Based Model
Authors: Siddiqui Sazada
Published: October 2024

The speedy growth of copper oxide nanoparticle (CuO NP) manufacturing due to their wide application in industries has caused concerns due to their increased discharge into the environment from both purposeful and accidental sources. Their presence at an elevated concentration in the environment can cause potential hazards to the plant kingdom, specifically to staple food crops. However, limited research is available to determine the consequences of CuO NPs. The present study aimed to assess the morphological and cytological changes induced by CuO NPs on Pisum sativum L., a key staple food crop. Seeds of Pisum sativum were exposed to various concentrations of CuO NPs (0, 25, 50, 75, 100, and 125 ppm) for 2 h, and their effects on seed germination (SG), radicle length (RL), cell proliferation kinetics (CPK), mitotic index (MI), cell death (CD), micronucleus frequency (MNF), and chromosomal aberration frequency (CAF) were studied. The results indicate a significant reduction in SG, RL, CPK, and MI and a significant dose-dependent increase in CD, MNF, and CAF. CuO NP treatment has led to abnormal meiotic cell division, increased incidence of micronucleus frequency, and chromosomal aberration frequency. Additionally, the CuO NP-treated groups showed an increase in the percentage of aberrant meiotic cells such as laggard (LG), double bridge (DB), stickiness (STC), clumped nuclei (CNi), precocious separation (PS), single bridge (SB), and secondary association (SA). CuO NP treatment led to reductions in SG as follows: 55% at 24 h, 60.10% at 48 h, and 65% at 72 h; reductions in RL as follows: 0.55 ± 0.021 cm at 24 h, 0.67 ± 0.01 cm at 48 h, and 0.99 ± 0.02 cm at 72 h; reductions in CPK as follows: 34.98% at prophase, 7.90% at metaphase, 3.5% at anaphase, and 0.97% at telophase. It also led to a 57.45% increase in CD, a 39.87% reduction in MI, and a 60.77% increase in MNF at a higher concentration of 125 ppm. The findings of this study clearly show that CuO NPs have a genotoxic effect on the food crop plant Pisum sativum.
Characteristics and Prognosis of “Acute Promyelocytic Leukemia-like” Nucleophosmin-1-Mutated Acute Myeloid Leukemia in a Retrospective Patient Cohort
Authors: Papadopoulou Vasiliki , Schiavini Giulia , Stalder Gregoire , Basset Valentin , Schoumans Jacqueline , Nabergoj Mitja , Schaller Muriel
Published: October 2024

Background: AML with NPM1 mutation is the largest subcategory of AML, representing about 35% of AML cases. It is characterized by CD34 negativity, which suggests a relatively differentiated state of the bulk of leukemic blasts. Notably, a significant subset of NPM1-mutated AML cases also exhibit HLA-DR negativity, classifying them as “double-negative”, and mimicking, therefore, the CD34− HLA-DR− immunophenotype of acute promyelocytic leukemia (APL). Objectives: This study focuses on the “acute promyelocytic leukemia-like” (“APL-like”) subset of NPM1-mutated AML, which can be challenging to distinguish from APL at presentation, prior to confirming RARa translocations. We aim to investigate the hematologic and immunophenotypic parameters that may aid to its distinction from APL. Additionally, we explore differences in genetic profile and prognosis between “APL-like” and “non-APL-like” NPM1-mutated AML cases. Methods: We conducted a retrospective evaluation of 77 NPM1-mutated AML cases and 28 APL cases. Results: Morphological characteristics, hematologic parameters (such as DD/WBC and PT/WBC), and specific immunophenotypic markers (including SSC, CD64, and CD4) can assist in the early distinction of “APL-like” NPM1-mutated AML from APL. Regarding differences in genetic profiles and outcomes between “APL-like” and non-“APL-like” NPM1-mutated AML cases, we observed a significantly higher incidence of IDH1/2 /TET2 mutations, along with a significantly lower incidence of DNMT3A mutations in the “APL-like” subset compared to the non-“APL-like” subset. The frequency of Ras-pathway and FLT3 mutations did not differ between these last two groups, nor did their prognoses. Conclusions: Our findings contribute to a comprehensive characterization of NPM1-mutated AML, enhancing diagnostic accuracy and aiding in the detailed classification of the disease. This information may potentially guide targeted therapies or differentiation-based treatment strategies.
The Effect of Nerolidol on Renal Dysfunction following Bilateral Ureteral Obstruction
Authors: Toumi Harun R. , Sallabi Sundus M. , Lubbad Loay , Al-Salam Suhail , Hammad Fayez T.
Published: October 2024

Background/Objectives: Obstructive uropathy is a common cause of renal impairment. Recently, there has been a burgeoning interest in exploring natural products as potential alternative remedies for many conditions due to their low toxicity, affordability and wide availability. Methods: We investigated the effect of nerolidol in a rat model of bilateral ureteral obstruction (BUO) injury. Nerolidol, dissolved in a vehicle, was administered orally as a single daily dose of 200 mg/kg to Wistar rats. Sham group (n = 12) underwent sham surgery, whereas the BUO (n = 12) and BUO/NR groups (n = 12) underwent reversible 24-h BUO and received the vehicle or nerolidol, respectively. The treatment started 9 days prior to the BUO/sham surgery and continued for 3 days after reversal. Renal functions were assessed before starting the treatment, just prior to the intervention and 3 days after BUO reversal. Results: Neither nerolidol nor the vehicle affected the basal renal functions. Nerolidol resulted in a significant attenuation in the BUO-induced alterations in renal functional parameters such as serum creatinine and urea, creatinine clearance and urinary albumin-creatinine ratio. Nerolidol also attenuated the changes in several markers associated with renal injury, inflammation, apoptosis and oxidative stress and mitigated the histological alterations. Conclusions: The findings of this study demonstrated the potent reno-protective effects of nerolidol in mitigating the adverse renal effects of bilateral ureteral obstruction. This is attributed to its anti-inflammatory, anti-fibrotic, anti-apoptotic and anti-oxidant properties. These effects were reflected in the partial recovery of renal functions and histological features. These findings may have potential therapeutic implications.
Efficient Impurity Removal from Model FCC Fuel in Millireactors Using Deep Eutectic Solvents
Authors: Mitar Anamarija , Prlić Kardum Jasna , Lukić Marija
Published: October 2024

The goal of strict fuel quality regulations is to decrease the levels of sulfur, nitrogen, and aromatic chemicals in gasoline, thereby enhancing environmental safety. Due to the high costs of hydrodenitrification and hydrodesulfurization, many studies are looking for alternative fuel-purifying processes. The straightforward extraction approach using deep eutectic solvents (DESs) has proven to result in the removal of impurities and the enhancement of gasoline quality. Seven DESs were employed in a batch extraction process to purify the model fuel. The TbabFa-0 solvent was chosen for extraction in millireactors with different lengths, volume flows, and solvent ratios. In the millireactor, a slug regime and a laminar flow pattern were established for every process condition. For the chosen process conditions, the diffusion coefficient, volumetric mass transfer coefficient, and distribution ratio were determined. Better separation of all three key components was achieved during extraction in a millireactor using TbabFa-0. The efficiency of extraction with regenerated solvent was lowered by a maximum of 8%, showing the possibility of performing extraction in a millireactor with solvent recirculation.
Multi-UAV Cooperative Target Assignment Method Based on Reinforcement Learning
Authors: Ding Yunlong , Kuang Minchi , Shi Heng , Gao Jiazhan
Published: October 2024

To overcome the problems of traditional distributed target allocation algorithms in terms of lack of target strategic priority, poor scalability, and robustness, this paper proposes a proximal strategy optimization algorithm that combines threat assessment and attention mechanism (TAPPO). Based on the distributed training framework, the algorithm integrates a threat assessment and dynamic attention strategy and designs a dynamic reward function based on the current hit rate of the drone and the missile benefit ratio to improve the algorithm’s exploration ability and scalability. Through an 8vs8 multi-UAV confrontation experiment in a digital twin simulation environment, the results show that the agent using the TAPPO algorithm for target allocation defeats the state machine with an 85% winning rate and is significantly better than other current mainstream target allocation algorithms, verifying the effectiveness of the algorithm.
Analysis of Handwriting for Recognition of Parkinson’s Disease: Current State and New Study
Authors: Białek Kamila , Potulska-Chromik Anna , Jakubowski Jacek , Nojszewska Monika , Kostera-Pruszczyk Anna
Published: October 2024

One of the symptoms of Parkinson’s disease (PD) is abnormal handwriting caused by motor dysfunction. The development of tablet technology opens up opportunities for an effective analysis of the writing process of people suffering from Parkinson’s disease, aimed at supporting medical diagnosis using machine learning methods. Several approaches have been used and presented in the literature that discuss the analysis and understanding of images created during the writing of single words or sentences. In this study, we propose an analysis based on a sequence of sentences, which allows us to assess the evolution of writing over time. The study material consisted of handwriting image samples acquired in a group of 24 patients with PD and 24 healthy controls. The parameterization of the handwriting image samples was carried out using domain knowledge. Using the exhaustive search method, we selected the relevant features for the SVM algorithm performing binary classification. The results obtained were assessed using quality measures, including overall accuracy, which was 91.67%. The results were compared with competitive works on the same subject and seem to be better (a higher level of accuracy with a much smaller number of features than those presented by others).
Investigation of Bird Sound Transformer Modeling and Recognition
Authors: Yi Darui , Shen Xizhong
Published: October 2024

Birds play a pivotal role in ecosystem and biodiversity research, and accurate bird identification contributes to the monitoring of biodiversity, understanding of ecosystem functionality, and development of effective conservation strategies. Current methods for bird sound recognition often involve processing bird songs into various acoustic features or fusion features for identification, which can result in information loss and complicate the recognition process. At the same time, the recognition method based on raw bird audio has not received widespread attention. Therefore, this study proposes a bird sound recognition method that utilizes multiple one-dimensional convolutional neural networks to directly learn feature representations from raw audio data, simplifying the feature extraction process. We also apply positional embedding convolution and multiple Transformer modules to enhance feature processing and improve accuracy. Additionally, we introduce a trainable weight array to control the importance of each Transformer module for better generalization of the model. Experimental results demonstrate our model’s effectiveness, with an accuracy rate of 99.58% for the public dataset Birds_data, as well as 98.77% for the Birdsonund1 dataset, and 99.03% for the UrbanSound8K environment sound dataset.
Power Converter Topologies for Heat Pumps Powered by Renewable Energy Sources: A Literature Review
Authors: Assaf Joyce , Menye Joselyn Stephane , Camara Mamadou Baïlo , Guilbert Damien , Dakyo Brayima
Published: October 2024

Heat pumps (HPs) have become pivotal for heating and cooling applications, serving as sustainable energy solutions. Coupled with renewable energy sources (RES) to run the compressor, which is the major energy-consuming component, they contribute to eco-conscious practices. Notably, their adaptability to be supplied by either alternating (AC) or direct (DC) currents, facilitated through converters, makes them more flexible for versatile renewable energy (RE) applications. This paper presents a comprehensive review of converter topologies employed in various HP applications. The review begins by exploring previous applied photovoltaic (PV)-HP projects, focusing on the gaps in the literature concerning the employed converter topologies. Additionally, the review extends to include a broader examination of the converter topologies that could be employed on the source and load sides of a system powered by a mix of renewable energy sources, such as photovoltaics (PV), wind turbines (WTs), and energy storage systems (ESS), and analyzes their strengths and weaknesses. Special emphasis is given to understanding the various topologies of the power electronics converters in the context of HP applications. Finally, the paper concludes with a summary of the literature gaps, challenges, and directions for future research.
A Distributed Non-Intrusive Load Monitoring Method Using Karhunen–Loeve Feature Extraction and an Improved Deep Dictionary
Authors: Liu Siqi , Xie Zhiyuan , Hu Zhengwei
Published: October 2024

In recent years, the non-invasive load monitoring (NILM) method based on sparse coding has shown promising research prospects. This type of method learns a sparse dictionary for each monitoring target device, and it expresses load decomposition as a problem of signal reconstruction using dictionaries and sparse vectors. The existing NILM methods based on sparse coding have problems such as inability to be applied to multi-state and time-varying devices, single-load characteristics, and poor recognition ability for similar devices in distributed manners. Using the analysis above, this paper focuses on devices with similar features in households and proposes a distributed non-invasive load monitoring method using Karhunen–Loeve (KL) feature extraction and an improved deep dictionary. Firstly, Karhunen–Loeve expansion (KLE) is used to perform subspace expansion on the power waveform of the target device, and a new load feature is extracted by combining singular value decomposition (SVD) dimensionality reduction. Afterwards, the states of all the target devices are modeled as super states, and an improved deep dictionary based on the distance separability measure function (DSM-DDL) is learned for each super state. Among them, the state transition probability matrix and observation probability matrix in the hidden Markov model (HMM) are introduced as the basis for selecting the dictionary order during load decomposition. The KL feature matrix of power observation values and improved depth dictionary are used to discriminate the current super state based on the minimum reconstruction error criterion. The test results based on the UK-DALE dataset show that the KL feature matrix can effectively reduce the load similarity of devices. Combined with DSM-DDL, KL has a certain information acquisition ability and acceptable computational complexity, which can effectively improve the load decomposition accuracy of similar devices, quickly and accurately estimating the working status and power demand of household appliances.
Assessment of Fungal and Contamination of Ochratoxin A and Patulin in Foods Susceptible to Contamination in the Yangzhou Market, China
Authors: Gong Qinghua , Zhang Zihan , Huang Peiwen , Wang Bo , Zheng Xiangfeng
Published: October 2024

The conducive conditions of warm and humid climates can facilitate mold proliferation and subsequent mycotoxin production during food processing and distribution, thereby posing a potential risk to consumer health. However, there exists a significant lack of research regarding the diversity of molds and the presence of ochratoxin A (OTA) and patulin (PAT) in food products available in the Yangzhou market. This study was conducted to assess OTA contamination levels and fungal presence in 57 cereal-based food samples, as well as PAT contamination levels and fungal presence in 50 types of foods, including apples, hawthorn berries, pears, and their derivatives. Ochratoxin A (OTA) was detected in 17 out of 57 cereal-based food samples, with concentrations ranging from 0.93 to 32.69 μg/kg. The contamination rate was determined to be 31.48%, and no samples exceeded the established regulatory limits. Furthermore, seven apple products were identified as contaminated with patulin (PAT), exhibiting concentrations between 26.85 and 192.78 μg/kg. Additionally, three food samples derived from hawthorn showed PAT contamination levels ranging from 29.83 to 88.56 μg/kg. Through purification on potato dextrose agar (PDA) medium, observation of colony morphology, and analysis of internal transcribed spacer (ITS) sequences, a total of 35 fungal strains belonging to 13 genera were identified in cereal-based foods. The predominant genera in cereals included Talaromyces, Fusarium, Aspergillus, and Penicillium. Additionally, twelve fungal strains from five genera (Penicillium, Cladosporium, Aureobasidium, Curvularia, and Alternaria) were isolated and identified in fruits and their derivatives. The findings indicate that OTA and PAT toxins are one of the important risk factors that threaten consumer health. Furthermore, the contamination of some other toxigenic strains is also a matter of substantial concern, with potential implications for consumer health.
Seaweed as a Valuable and Sustainable Resource for Food Packaging Materials
Authors: Nesic Aleksandra , Meseldzija Sladjana , Benavides Sergio , Figueroa Fabián A. , Cabrera-Barjas Gustavo
Published: October 2024

Plastic food packaging causes massive pollution in the environment via resource extraction, gas emissions, and the enduring plastic waste accumulation. Hence, it is of crucial importance to discover sustainable alternatives in order to protect ecosystems and conserve precious resources. Recently, seaweed has been emerging as a promising sustainable solution to plastic pollution. Seaweed is a fast-growing marine plant that is abundant in tropical coastlines and requires minimal resources to cultivate. In addition, seaweed is rich in valuable polysaccharides such as alginate, fucoidan, carrageenan, agar, and ulva, which can be extracted and processed into biodegradable films, coatings, and wraps. This ability allows the creation of an alternative to plastic food packages that are completely biodegradable, made from renewable resources, and do not linger in landfills or oceans for centuries. In this context, this review discusses the main classification of seaweed, their production and abundance in the world, and provides a summary of seaweed-based materials developed in the last 2–5 years for potential usage in the food packaging sector.
Exploring Soliton Solutions and Chaotic Dynamics in the (3+1)-Dimensional Wazwaz–Benjamin–Bona–Mahony Equation: A Generalized Rational Exponential Function Approach
Authors: Hamza Amjad E. , Suhail Muntasir , Alsulami Amer , Mustafa Alaa , Aldwoah Khaled , Saber Hicham
Published: October 2024

This paper investigates the explicit, accurate soliton and dynamic strategies in the resolution of the Wazwaz–Benjamin–Bona–Mahony (WBBM) equations. By exploiting the ensuing wave events, these equations find applications in fluid dynamics, ocean engineering, water wave mechanics, and scientific inquiry. The two main goals of the study are as follows: Firstly, using the dynamic perspective, examine the chaos, bifurcation, Lyapunov spectrum, Poincaré section, return map, power spectrum, sensitivity, fractal dimension, and other properties of the governing equation. Secondly, we use a generalized rational exponential function (GREF) technique to provide a large number of analytical solutions to nonlinear partial differential equations (NLPDEs) that have periodic, trigonometric, and hyperbolic properties. We examining the wave phenomena using 2D and 3D diagrams along with a projection of contour plots. Through the use of the computational program Mathematica, the research confirms the computed solutions to the WBBM equations.
Indigenous Identity Appropriation in Aotearoa New Zealand: The White Academics Who Claim to Be Indigenous Māori and the Māori Who Claim to Be Indigenous Whites
Authors: Galbraith Deane
Published: October 2024

Unlike in North America, where several “race-shifters”, “Pretendians”, or “self-indigenizers” have been exposed over the last decade, Indigenous identity appropriation has not been publicly exposed or even widely discussed in Aotearoa New Zealand. This study is the first to identify and to describe the methods and motivations of four Pākehā (White) self-indigenizers who are currently working, or were trained, in Aotearoa New Zealand, outlining also the harms they have caused. In addition, this study examines another type of Indigenous identity appropriation taking place in Aotearoa New Zealand, involving a small group of central North Island Māori, whose primary spokesperson is Monica Matāmua. The group claim to be descended from white-skinned Hotu, who they purport had migrated to Aotearoa New Zealand in the 200s B.C., making them the alleged true Indigenous people instead of Māori. Each type of Indigenous identity appropriation provides a range of benefits to those who thereby claim Indigenous status, and this is in part due to the valorization of certain aspects of Indigeneity that occurred from ca. the 1960s to the 1980s. Indigenous identity appropriation has further been encouraged by the backlash against so-called “Māori privilege” that has gathered momentum since ca. the 1980s.
The Association of Walking Ability with Oral Function and Masticatory Behaviors in Community-Dwelling Older People: A Cross-Sectional Study
Authors: Ujihashi Takako , Hori Kazuhiro , Izuno Hiromi , Fukuda Masayo , Sawada Misao , Yoshimura Shogo , Hori Shoko , Uehara Fumuko , Takano Hinako , Ono Takahiro
Published: October 2024

Background/Objectives: An association between oral function and physical fitness, including walking capacity, has been reported. However, the association between masticatory behaviors and walking ability—both of which represent patterns of movement in daily life—has not been clarified. This study aimed to investigate the association between masticatory behaviors, oral function, and walking capacity in older people. Methods: One hundred community-dwelling older people (31 men, 69 women, mean age 75.7 ± 6.3 years) were selected to participate in this study. Age, sex, masticatory behaviors, oral functions (tongue pressure, tongue–lips motor function, occlusal force, and masticatory performance), and walking capacity were assessed. Masticatory behaviors were assessed during the consumption of one rice ball (100 g) using a wearable chewing counter, and the number of chews, chewing rate, the number of chews per bite, and meal time were recorded. Walking capacity was assessed using the timed up and go test (TUG). Spearman’s rank correlation coefficients were calculated to assess the strength and direction of the association. Results: Moderate negative correlations were observed between TUG time and tongue pressure and between TUG time and tongue–lips motor function (/ta/ and /ka/) (rs = −0.33, −0.21, −0.28, respectively). In addition, moderate negative correlations between TUG time and chewing rate (rs = −0.22) and between TUG time and meal time (rs = 0.33) were observed, suggesting that lower walking capacity was associated with slower chewing rate and longer meal times. Conclusions: In community-dwelling older people, declines in mastication speed and dexterity and tongue strength are associated with lower walking capacity.
The Devil in the Machine: The Doctor Travels through Time in Chris Bush’s Faustus: That Damned Woman
Authors: Foster Verna A.
Published: October 2024

Chris Bush’s Faustus: That Damned Woman (first performed in 2020) is a feminist and contemporary adaptation of Christopher Marlowe’s Doctor Faustus. The magus is a woman who travels through time from the seventeenth century to the far distant future. In the process, Johanna Faustus becomes a brilliant scientist who attempts to create digital immortality by uploading the minds of billions of human beings to the Cloud. When a power failure destroys almost all of humanity, it is uncertain whether the universal outage is caused by Mephistopheles (in accordance with the expectations of Faustian fantasy) or is simply an unforeseen but predictable accident (in accordance with the expectations of technophobic versions of science fiction). I argue that Bush’s play traces the chronological and generic arc from magic/fantasy to science/science fiction, blending the two so that the age-old monster, the Devil, enabled by Faustian arrogance, is reimagined as an avatar for an unreliable technology that destroys what it is designed to preserve.
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study
Authors: Sallam Malik , Al-Mahzoum Kholoud , Almutairi Yousef Meteb , Alaqeel Omar , Abu Salami Anan , Almutairi Zaid Elhab , Alsarraf Alhur Najem , Barakat Muna
Published: October 2024

Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially about job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine the specific fears, anxieties, mistrust, and ethical concerns medical students harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 medical students studying in Jordan across various academic years, employing a structured self-administered questionnaire with an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, and Ethics—comprising 12 items, with 3 items for each construct. Exploratory and confirmatory factors analyses were conducted to assess the construct validity of the FAME scale. The results indicated variable levels of anxiety towards genAI among the participating medical students: 34.1% reported no anxiety about genAI‘s role in their future careers (n = 56), while 41.5% were slightly anxious (n = 61), 22.0% were somewhat anxious (n = 36), and 2.4% were extremely anxious (n = 4). Among the FAME constructs, Mistrust was the most agreed upon (mean: 12.35 ± 2.78), followed by the Ethics construct (mean: 10.86 ± 2.90), Fear (mean: 9.49 ± 3.53), and Anxiety (mean: 8.91 ± 3.68). Their sex, academic level, and Grade Point Average (GPA) did not significantly affect the students’ perceptions of genAI. However, there was a notable direct association between the students’ general anxiety about genAI and elevated scores on the Fear, Anxiety, and Ethics constructs of the FAME scale. Prior exposure to genAI and its previous use did not significantly modify the scores on the FAME scale. These findings highlight the critical need for refined educational strategies to address the integration of genAI into medical training. The results demonstrate notable anxiety, fear, mistrust, and ethical concerns among medical students regarding the deployment of genAI in healthcare, indicating the necessity of curriculum modifications that focus specifically on these areas. Interventions should be tailored to increase familiarity and competency with genAI, which would alleviate apprehensions and equip future physicians to engage with this inevitable technology effectively. This study also highlights the importance of incorporating ethical discussions into medical courses to address mistrust and concerns about the human-centered aspects of genAI. In conclusion, this study calls for the proactive evolution of medical education to prepare students for new AI-driven healthcare practices to ensure that physicians are well prepared, confident, and ethically informed in their professional interactions with genAI technologies.
Characterization of Patients with Poor Clinical Outcome after Adult Spinal Deformity Surgery: A Multivariate Analysis of Mean 8-Year Follow-Up Data
Authors: Park Se-Jun , Kim Hyun-Jun , Park Jin-Sung , Kang Dong-Ho , Kang Minwook , Jung Kyunghun , Lee Chong-Suh
Published: October 2024

Background/Objective: Limited data exist regarding the long-term clinical outcomes and related factors after adult spinal deformity (ASD) surgery. This study aims to characterize patients who experienced poor clinical outcomes during long-term follow-up after ASD surgery. Methods: Patients who underwent ASD surgery with ≥5-vertebra fusion including the sacrum and ≥5-year follow-up were included. They were divided into two groups according to the Oswestry Disability Index (ODI) at the last follow-up: group P (poor outcome, ODI > 40) and group NP (non-poor outcome, ODI ≤ 40). Clinical variables, including patient factors, surgical factors, radiographic parameters, and mechanical complications (proximal junctional kyphosis [PJK] and rod fracture), were compared between the groups. Results: A total of 105 patients were evaluated, with a mean follow-up of 100.6 months. The mean age was 66.3 years, and 94 patients (89.5%) were women. There were 52 patients in group P and 53 patients in group NP. Univariate analysis showed that low T-score, postoperative correction relative to age-adjusted pelvic incidence-lumbar lordosis, T1 pelvic angle (TPA) at last follow-up, and PJK development were significant factors for poor clinical outcomes. Multivariate analysis identified PJK as the single independent risk factor (odds ratio [OR] = 3.957 for PJK development relative to no PJK, OR = 21.141 for revision surgery for PJK relative to no PJK). Conclusions: PJK development was the single independent factor affecting poor clinical outcomes in long-term follow-up. Therefore, PJK prevention appears crucial for achieving long-term success after ASD surgery.
Early Hemorrhagic Complications after Holmium Laser Enucleation of the Prostate in Patients Undergoing Antithrombotic Therapy: A Retrospective Analysis from a High-Volume Centre
Authors: Pastore Serena , Carilli Marco , Di Nicola Stefano , Campagna Adriano , Parente Ulderico , Pierella Federico , D’Ippolito Giulia , Agrò Enrico Finazzi , Zuccalà Alessio
Published: October 2024

Objectives: This study intends to evaluate early hemorrhagic complications after holmium laser enucleation of the prostate (HoLEP) in patients undergoing antithrombotic therapy. Methods: The data of patients undergoing HoLEP between January 2020 and February 2023 were retrospectively analysed. Patients were clustered into three groups: (1) no antithrombotic therapy; (2) antiplatelet (AP) therapy; and (3) anticoagulant (AC) therapy. Pre-, intra-, and post-operative variables were compared. A logistic regression model was built to identify predictors of post-operative hemorrhagic complications. Results: A total of 338 patients underwent HoLEP, including 212 who received no antithrombotic therapy (62.7%), 76 who received AP (22.5%), and 50 who received AC (14.8%). Intra-operative outcomes did not show any significant difference. A significant difference was observed in terms of catheterisation time (p = 0.001) and length of hospital stay (p < 0.001), favouring patients who did not receive antithrombotic therapy. Early post-operative hemorrhagic complications (<30 days) included re-admissions for macrohematuria (3.5%), transfusions (2.4%), and endoscopic re-interventions for bleeding (1.2%). A comparison between the groups showed significant differences for both re-admission (p < 0.001) and transfusion rates (p = 0.01), favouring patients who did not receive antithrombotic therapy. The re-intervention rate did not show any significant difference between the groups (p = 0.1). In multivariate analysis, AC therapy was identified as an independent predictor of those complications (OR 4.9, p = 0.005). Conclusions: HoLEP is a safe and effective procedure for patients undergoing antithrombotic therapy. Both AP and AC therapies are associated with longer catheterisation and hospitalisation times. AC therapy is shown to be a predictor of minor post-operative hemorrhagic complications.
Selecting a Brief Cognitive Screening Test Based on Patient Profile: It Is Never Too Early to Start
Authors: García-Lluch Gemma , Muedra-Moreno Ariadna , García-Zamora Mar , Gómez Beatriz , Sánchez-Roy Rafael , Moreno Lucrecia
Published: October 2024

Introduction: Cognitive impairment, marked by a decline in memory and attention, is frequently underdiagnosed, complicating effective management. Cardiovascular risk factors (CVR) and anticholinergic burden (ACB) are significant contributors to dementia risk, with ACB often stemming from medications prescribed for neuropsychiatric disorders. This study evaluates cognitive profiles through three brief cognitive tests, analyzing the impact of CVR and ACB presence. Methods: This cross-sectional study was performed between 2019 and 2023 in community pharmacies and an outpatient clinic in Valencia, Spain. Eligible participants were patients with subjective memory complaints 50 years or older with clinical records of cardiovascular factors. Patients with conflicting information regarding diabetes diagnosis or not taking concomitant medications were excluded. Three brief cognitive tests (Memory Impairment Screening (MIS), Semantic Verbal Fluency Test, and SPMSQ) were assessed. CVR was calculated using the European SCORE2 table, and ACB was assessed using the CALS scale. Results: Among 172 patients with memory complaints and CVR factors, 60% failed at least one cognitive test. These patients were on significantly more medications and had higher blood pressure and HbA1c levels. An increase in CVR and ACB was associated with more failed tests. Additionally, elevated SCORE2 scores were associated with a greater failure rate on the MIS test, while patients with elevated ACB more frequently failed the SPMSQ test. Conclusions: Selecting an adequate brief cognitive test according to patients’ characteristics offers an opportunity to screen patients who are probably cognitively impaired. Whereas the MIS test may be helpful for patients with cardiovascular risk, SPMSQ stands out among patients with significant ACB.
Bibliometric Analysis on of the Impact of Screening to Minimize Maternal Mental Health on Neonatal Outcomes: A Systematic Review
Authors: Tzitiridou-Chatzopoulou Maria , Zournatzidou Georgia
Published: October 2024

(1) Background: Prenatal depression, maternal anxiety, puerperal psychosis, and suicidal thoughts affect child welfare and development and maternal health and mortality. Women in low-income countries suffer maternal mental health issues in 25% of cases during pregnancy and 20% of cases thereafter. However, MMH screening, diagnosis, and reporting are lacking. The primary goals of the present study are twofold, as follows: firstly, to evaluate the importance of screening maternal mental health to alleviate perinatal depression and maternal anxiety, and, secondly, to analyze research patterns and propose novel approaches and procedures to bridge the current research gap and aid practitioners in enhancing the quality of care offered to women exhibiting symptoms of perinatal depression. (2) Methods: We conducted a bibliometric analysis to analyze the research topic, using the bibliometric tools Biblioshiny and VOSviewer, as well as the R statistical programming language. To accomplish our goal, we obtained a total of 243 documents from the Scopus and PubMed databases and conducted an analysis utilizing network, co-occurrence, and multiple correlation approaches. (3) Results: Most of the publications in the field were published between the years 2021 and 2024. The results of this study highlight the significance of shifting from conventional screening methods to digital ones for healthcare professionals to effectively manage the symptoms of maternal mental health associated with postpartum depression. Furthermore, the results of the present study suggest that digital screening can prevent maternal physical morbidity, contribute to psychosocial functioning, and enhance infant physical and cognitive health. (4) Conclusions: The research indicates that it is crucial to adopt and include a computerized screening practice to efficiently and immediately detect and clarify the signs of prenatal to neonatal depression. The introduction of digital screening has led to a decrease in scoring errors, an improvement in screening effectiveness, a decrease in administration times, the creation of clinical and patient reports, and the initiation of referrals for anxiety and depression therapy.
Once Common, Long in Decline: Dynamics of Traditional Orchards in a Central European Landscape
Authors: Große-Stoltenberg André , Hanzl Andreas , Safaei Mojdeh , Kleinebecker Till
Published: October 2024

Traditional orchards are distinctive features of cultural landscapes in Central Europe. Despite their high level of ecological importance, they are in decline, and comprehensive spatial data over broad extents, which could enable a trend analysis, are lacking. We analysed traditional orchard maps from 1952 to 1967 and a map from 2010, generated via aerial image interpretation, for the state of Hesse (ca. 21,115 km2), which has the second largest share of traditional orchards in Germany. We aimed to (1) quantify long-term orchard dynamics, (2) compare orchard characteristics in terms of topographical, ecological, and socioeconomic factors, and (3) identify key drivers of orchard loss. We found that the number and area of orchards have clearly decreased across Hesse, with varying local and regional patterns. Further, historically old orchards tended to have a larger area, higher shape complexity, and were located closer to settlements, highways, and neighbouring orchards. In contrast, newly established orchards were often found at higher elevations and on steeper slopes. Finally, the three historical orchard hotspots also experienced the most notable losses driven by different factors, namely the expansion of Artificial Surfaces, Residential Buildings, and Agricultural Land. We highlight the importance of such multitemporal spatial data for a wide range of ecological applications, and we encourage the use of novel technologies to support geospatial analyses in the future.
Insights into Boreal Forest Disturbance from Canopy Stability Index
Authors: Mackey Brendan , Hugh Sonia , Norman Patrick , Rogers Brendan M. , Dellasala Dominick
Published: October 2024

The world’s forests are being increasingly disturbed from exposure to the compounding impacts of land use and climate change, in addition to natural disturbance regimes. Boreal forests have a lower level of deforestation compared to tropical forests, and while they have higher levels of natural disturbances, the accumulated impact of forest management for commodity production coupled with worsening fire weather conditions and other climate-related stressors is resulting in ecosystem degradation and loss of biodiversity. We used satellite-based time-series analysis of two canopy indices—canopy photosynthesis and canopy water stress—to calculate an index that maps the relative stability of forest canopies in the Canadian provinces of Ontario and Quebec. By drawing upon available spatial time-series data on logging, wildfire, and insect infestation impacts, we were able to attribute the causal determinants of areas identified as having unstable forest canopy. The slope of the two indices that comprise the stability index also provided information as to where the forest is recovering from prior disturbances. The stability analyses and associated spatial datasets are available in an interactive web-based mapping app. that can be used to map disturbed forest canopies and the attribution of disturbances to human or natural causes. This information can assist decision-makers in identifying areas that are potentially ecologically degraded and in need of restoration and those stable areas that are a priority for protection.
Spatial Pattern and Influence Mechanisms of Forest Land Quality under the Background of Carbon Peaking and Carbon Neutrality: A Case Study in Kaizhou District, Chongqing, China
Authors: Lu Shasha , Zhang Pan , Zhang Jiayi , Wang Rongfang , Hu Suxin , Ma Changjiang
Published: October 2024

Since the goals of carbon peaking and carbon neutrality have been established, forest carbon sinks have garnered significant attention. As a fundamental component of forest carbon sinks, the quality of forest land significantly influences the carbon sink capacity of forests. This study utilized Kaizhou District, Chongqing City, a typical forest area as a case study, and used the correction method, factor method, CASA model, landscape ecology indexes, and canonical correlation analysis to evaluate the level of forest land quality and reveal the spatial distribution pattern and influencing mechanisms of forest land quality. The results showed that: (i) The quality index of public welfare forest land was distributed in [37.89, 148.15], and each quality level was diversified in space. The quality index of commodity forest land was distributed in [40.00, 92.67], and some high-quality forest land appeared in the transition zone of each region; (ii) The forest land quality index and the amount of net primary productivity passed the correlation test. Primary net productivity was higher on forest land with a high-quality index and lower on forest area with a low-quality index; (iii) public welfare forest land was mainly positively affected by community structure, average annual precipitation, average annual temperature, and soil moisture. Commodity forest land was mainly positively affected by average annual temperature, soil moisture, and slope aspect. However, landform had a significant negative impact on the two types of forest land. Given these findings, we also proposed a series of measures aimed at promoting the sustainable development of research on regional forest land.