bluuebunny/crossref_metadata_2025 huggingface dataset:
The femoral anterior tangent line could serve as a reliable alternative reference axis for distal femoral rotational alignment in total knee arthroplasty: an MRI-based study
Authors: Li Shuzhen , Deng Haiquan , Jiang Lianjian , Liang Haibo , Sun Jianchao , Xu Youjia
Published: March 2024

Background

This study aimed to evaluate the reference value of the femoral anterior tangent (FAT) line as a guidance of distal femoral rotation on magnetic resonance images (MRI).

Methods

We retrospectively included 81 patients (106 knees) diagnosed as ailing from primary knee osteoarthritis. The indirect rotational axes including the FAT line, the perpendicular line to the anteroposterior axis (pAPA), and the posterior condylar axis (PCA) were identified on MRI, and their angles related to the clinical transepicondylar axis (cTEA) or surgical transepicondylar axis (sTEA) were measured. The patients were further divided into subgroups according to the Kellgren–Lawrence (K–L) grades, the joint-line convergence angle (JLCA), and the arithmetic hip-knee-ankle angle (aHKA) to assess the variance of different rotational reference axes.

Results

The FAT line was −11.8° ± 3.6° internally rotated to the cTEA and −7.5° ± 3.6° internally rotated to the sTEA. The FAT/cTEA angle and the FAT/sTEA angle shared a similar frequency distribution pattern but a little greater variance to the pAPA/cTEA angle and the PCA/cTEA angle. The PCA/cTEA angle in the JLCA |x| ≥ 6° subgroup was significantly smaller than in the two other JLCA subgroups. The pAPA/cTEA angle and the PCA/cTEA angle also presented statistical significance within the aHKA subgroups. While the FAT/cTEA angle and the FAT/sTEA angle demonstrated superior stability among the different K–L grades, JLCA subgroups, and aHKA subgroups.

Conclusion

The FAT line was less affected by the degree of knee osteoarthritis and lower limb alignment, which could serve as a reliable alternative reference axis for the distal femoral rotational alignment in total knee arthroplasty.
Highly Imbalanced Classification of Gout Using Data Resampling and Ensemble Method
Authors: Si Xiaonan , Wang Lei , Xu Wenchang , Wang Biao , Cheng Wenbo
Published: March 2024

Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance and have received little attention. This is due to a significant data imbalance problem that affects the learning attention for the majority and minority classes. To overcome this problem, a resampling method called ENaNSMOTE-Tomek link is proposed. It uses extended natural neighbors to generate samples that fall within the minority class and then applies the Tomek link technique to eliminate instances that contribute to noise. The model combines the ensemble ’bagging’ technique with the proposed resampling technique to improve the quality of generated samples. The performance of individual classifiers and hybrid models on an imbalanced gout dataset taken from the electronic medical records of a hospital is evaluated. The results of the classification demonstrate that the proposed strategy is more accurate than some imbalanced gout diagnosis techniques, with an accuracy of 80.87% and an AUC of 87.10%. This indicates that the proposed algorithm can alleviate the problems caused by imbalanced gout data and help experts better diagnose their patients.
Photosystem II Tolerance to Excess Zinc Exposure and High Light Stress in Salvia sclarea L.
Authors: Moustakas Michael , Dobrikova Anelia , Sperdouli Ilektra , Hanć Anetta , Moustaka Julietta , Adamakis Ioannis-Dimosthenis S. , Apostolova Emilia
Published: March 2024

High light (HL) intensity has a substantial impact on light energy flow and partitioning within photosynthetic apparatus. To realize the impact of HL intensity on zinc (Zn) tolerance mechanisms in clary sage (Salvia sclarea L., Lamiaceae) plants, we examined the effect of the altered chlorophyll and nutrient uptake under excess Zn supply on the response mechanism of photosystem II (PSII) photochemistry. Eight-week-old clary sage plants were treated with 5 μM Zn (control) or 900 μM Zn in Hoagland nutrient solution. Leaf elemental analysis for Zn, Mn, Mg, and Fe was performed by inductively coupled plasma mass spectrometry (ICP-MS), whereas PSII functioning under HL was evaluated by chlorophyll fluorescence imaging analysis. Exposure of S. sclarea plants to 900 μM Zn increased leaf Zn accumulation and decreased leaf Mg and chlorophyll. The decreased non-photochemical quenching (NPQ) provided evidence of the photoprotection offered by the smaller light-harvesting antennae due to the reduced chlorophyll. The increased Mn after Zn exposure corresponded with higher efficiency of the oxygen-evolving complex (OEC) that was significantly correlated with the maximum efficiency of photosystem II (PSII) photochemistry (Fv/Fm). An increased electron transport rate (ETR) coincided with increased leaf Fe, which is known to play a vital role in the enzymes engaged in ETR. The decreased (32%) NPQ after an 8-day exposure to Zn caused an increased (10%) quantum yield of non-regulated energy loss in PSII (ΦNO), indicative of an increased singlet oxygen (1O2) production. It is suggested that the decreased NPQ induced acclimation responses of clary sage plants to HL and excess Zn by increasing 1O2 production. The reduced (18%) excess excitation energy (EXC) at PSII and the increased (24%) quantum yield of PSII photochemistry (ΦPSII) and ETR indicated improved photosynthetic efficiency under excess Zn and HL intensity. Therefore, the exposure of medicinal plants to excess Zn not only boosts their photosynthetic efficiency, enhancing crop yields, but can also improve Fe and Zn content, ameliorating the human health deficiency of these two essential micronutrients.
Evolutionary and Integrative Analysis of the Gibberellin 20-oxidase, 3-oxidase, and 2-oxidase Gene Family in Paeonia ostii: Insight into Their Roles in Flower Senescence
Authors: Yuan Yanchao , Zhou Ningning , Bai Shuaishuai , Zeng Feng , Liu Chunying , Zhang Yuxi , Gai Shupeng , Gai Weiling
Published: March 2024

The brief longevity of tree peony blossoms constrains its ornamental value and economic worth. Gibberellins (GAs) are crucial in the modulation of flower senescence, and GA 20-oxidase (GA20ox), GA 3-oxidase (GA3ox), and GA 2-oxidase (GA2ox) catalyze the synthesis and deactivation of bioactive GAs. In Paeonia ostii, a total of three PoGA20ox, ten PoGA3ox, and twelve PoGA2ox proteins were identified and comprehensively analyzed. The analysis of the gene structures, conserved domains, and motifs revealed structural similarities and variances among the GA20ox, GA3ox, GA2ox-A, and GA2ox-B subfamilies. The synteny analysis indicated a scarcity of collinear blocks within the P. ostii genome, with no tandem or whole-genome duplication/segmental duplications found in PoGAoxs. The investigation into the binding of transcription factors to PoGAox promoters and the assessments of the expression levels suggest that PoGA2ox1 and PoGA2ox8.1 are promising candidate genes implicated in the regulation of floral senescence. Further, Pos.gene61099 (BPC6) and Pos.gene61094 (CIL2) appear to modulate PoGA2ox1 transcription in a positive and negative manner, respectively, while Pos.gene38359 (DDF1) and Pos.gene17639 (DREB1C) likely enhance PoGA2ox8.1’s expression. This study lays a foundation for an in-depth understanding of PoGAox functions and the development of strategies to delay flower senescence in tree peony.
Evaluation of Aberdeen Angus Breeding Bulls in the Northern Region of the Republic of Kazakhstan
Authors: Shevchenko Pavel , Miciński Jan , Brel-Kisseleva Inna
Published: March 2024

In this study, we evaluated the progeny quality of proven bulls of the Aberdeen Angus breed in different selections. Reliable information about the productive qualities of the daughters and cows of proven bulls is limited in Kazakhstan’s scientific literature. We aimed to identify bull-improvers by comparatively evaluating cows of different genotypes in terms of productive qualities. The study was conducted in the period of 2021–2023, during which four groups of cows were formed based on origin. In conclusion, the high influence of inheritance of breeding features from bull-improvers should be highlighted: 78.6% to the daughters of cows of group I (Estonian selection from Kolos-firma LLP: EE 14465116 ABAJA PORTOS 95283, DK 1989501341 FREDERIK 95220, and EE 16966079 ABAJA PATRICK 95305) and 74.5% to the daughters of cows of group III (Canadian selection from Vishnevskoe LLP: BH BRUIN 54X 1644270 and JL DISTRICT 0311 1594050). There was less influence from proven bulls of deteriorators of the Kazakh selection: 21.4% to the daughters of cows of group II from Kolos-firma LLP (KZP156547191) and 25.5% to the daughters of cows of group IV from Vishnevskoe LLP (Henri KZT157789649 and Argus KZT155778964). Therefore, it is recommended that valuable genotypes of imported selection are used in breeding work in the Kostanay and North Kazakhstan regions for the improvement of Aberdeen Angus cattle.
Bean Sprouts, Lettuce, and Milk as Water Sources in Tenebrio molitor Larval Growth
Authors: Lee Seokhyun , Bugenyi Andrew Wange , Lee Hakkyo , Heo Jaeyoung
Published: March 2024

The Tenebrio molitor larva (yellow mealworm) holds great potential as a sustainable ingredient in food and feed. Optimizing its growth under mass farming requires careful water management. However, the availability and cost of fresh fruit and vegetables, which are the most widely used sources of water, can vary geographically, which calls for the search for relatively affordable, effective, and readily available alternatives. We evaluated the effect of three water sources (bean sprouts, lettuce leaves, and milk) as well as their quantity on weights and nutrient profiles of reared T. molitor larvae. Newly hatched mealworm larvae were maintained in controlled conditions of 25 °C and 60% relative humidity under a 12-h light–dark cycle for 15 weeks. When provided as sole-supplements, bean sprouts induced the highest larval weight gains compared to fresh lettuce leaves, which in turn performed better than milk and water. However, the addition of milk to the vegetable supplements enhanced growth. Furthermore, doubling the level of water supply resulted in 70% higher larval weights by week 14 post hatching. Moreover, water sources did not change the nutrient content of the harvested larvae. These findings suggest that mealworm productivity can be enhanced by increasing water feed levels and that bean sprouts may be a superior alternative to lettuce.
Effect of Calcareous Marine Algae Buffer on High-Producing Dairy Cows during Peak Lactation
Authors: Loučka Radko , Jambor Václav , Synková Hana , Homolka Petr , Kumprechtová Dana , Koukolová Veronika , Kubelková Petra , Výborná Alena , Tyrolová Yvona , Jančík Filip
Published: March 2024

The aim of the study was to investigate the effect of calcareous marine algae (Lithotamium calcareum)-based rumen content buffer (CMA) included in concentrated feed within total mixed ration (TMR), fed to 34 peak lactation (87–144 days in milk) Holstein dairy cows, randomized into two groups (group A, n = 17; group B, n = 17), wearing collars with accelerometers, and housed a in barn with automatic feed-weigh troughs. During the first phase P1, group A received TMR with CMA (TMR-E) and group B was fed TMR without the buffer (TMR-C). For P2, the treatments in the groups were exchanged. Feed intake, feeding time (FT), rumination time (RT), milk yield, milk composition, and rumen pH were measured by barn technologies, and rumen fluid and feces composition were analyzed in the laboratory. Differences between the TMR-E and TMR-C in most parameters under study were statistically insignificant, except overall FT and RT, which differed significantly between the groups. Group A, feeding at P1 by TMR-E, exhibited higher FT and RT than Group B (202 min/cow/day vs. 184 min/cow/day, and 486 min/cow/day vs. 428 min/cow/day, respectively). The RT significantly increased after switching from TMR-C to TMR-E. This implies that the buffer effect is delayed and persists after the withdrawal. In the group of cows that received control TMR without buffer in the first phase, RT and milk protein content increased significantly in the first week after the addition of buffer.
Evaluation of the Impact of Near-Infrared Multiwavelength Locked System Laser Therapy on Skin Microbiome in Atopic Dogs
Authors: Muñoz Declara Sara , D’Alessandro Aldo , Gori Agnese , Cerasuolo Benedetta , Renzi Sonia , Berlanda Michele , Zini Eric , Monici Monica , Cavalieri Duccio , Zanna Giordana
Published: March 2024

Photobiomodulation (PBM) is a newly adopted consensus term to replace the therapeutic application of low-level laser therapy. It has been suggested that PMB influences the microbiome which, in turn, has increasingly been shown to be linked with health and disease. Even though the use of PBM has also grown dramatically in veterinary medicine, there is still a lack of evidence supporting its effect in vivo. Our objective was to investigate the impact of a dual-wavelength near-infrared laser source (Multiwavelength Locked Laser System, MLS®) on the skin microbiome in atopic dogs. Twenty adult-client-owned atopic dogs were enrolled in the study. The dogs were treated with MLS® laser therapy on one half of the abdominal region, whereas the contralateral side was left untreated and served as a control. Skin microbiome samples were collected before and after MLS® treatments, and then subjected to NGS-based ITS and 16S rRNA analysis. The results showed that while microbiome composition and diversity were not significantly affected, PBM could play a role in modulating the abundance of specific bacterial species, in particular Staphylococcus, that represent a major skin pathogenic strain. To the best of the authors’ knowledge, this is the first study to investigate the potential impact of MLS® laser therapy on the skin microbiome in atopic dogs.
Physical Pretreatments of Cassava Chips Influenced Chemical Composition, Physicochemical Properties, and In Vitro Digestibility in Animal Models
Authors: Takaeh Suriyanee , Poolthajit Sukanya , Hahor Waraporn , Nuntapong Nutt , Ngampongsai Wanwisa , Thongprajukaew Karun
Published: March 2024

Physical pretreatment procedures can significantly influence the quality of food and feed raw materials. To increase the ability to be digested in animals, cassava chips were pretreated by four alternative methods (extrusion, microwave irradiation, gamma irradiation, or NaOH hydrolysis), and then the chemical composition, physicochemical properties, and in vitro digestibility of the pretreated samples were assessed and compared with unprocessed cassava chips (control). The chemical compositions (crude protein, ether extract, neutral detergent fiber, acid detergent fiber, ash, non-fiber carbohydrate, and gross energy) were significantly altered due to the pretreatment methods (p < 0.05). The nutritive profile was qualitatively changed when assessed through Fourier-transform infrared spectroscopy. Some physicochemical properties in association with enzymatic hydrolysis, which include pH, water solubility, water absorption capacity, thermal properties (differential scanning calorimetry), diffraction pattern (X-ray diffractometry), and microstructure (scanning electron microscopy), were significantly changed. In vitro carbohydrate digestibility based on digestive enzyme extracts from Nile tilapia (Oreochromis niloticus) suggests the microwaving method for cassava chips preparation, while microwaving, followed by extrusion or gamma irradiation, was suggested for broiler (Gallus gallus domesticus). There were no differences in the pepsin-cellulase digestibility values tested for the ruminant model. These findings suggest the use of pretreated cassava chips in animal feeding.
Evaluation of Infrared Thermography Dataset for Delamination Detection in Reinforced Concrete Bridge Decks
Authors: Ichi Eberechi , Dorafshan Sattar
Published: March 2024

Structural health monitoring and condition assessment of existing bridge decks is a growing challenge. Conventional manned inspections are costly, labor-intensive, and often risky to execute. Sub-surface delamination, a leading cause of deck replacement, can be autonomously and objectively detected using infrared thermography (IRT) data with developed deep learning AI models to address some of the limitations associated with manned inspection. As one of the most promising classifiers, deep convolutional neural networks (DCNNs) have not been utilized to their fullest potential for delamination detection, arguably due to the scarcity of realistic ground truth datasets. In this study, a common encoder–decoder semantic segmentation-based DCNN is adapted through domain adaptation. The model was tuned and trained on a publicly available dataset to detect subsurface delamination in IRT data collected from in-service bridge decks. The authors investigated the effect of dataset augmentation, class imbalance, the number of classes, and the effect of background removal in the training dataset, resulting in an overall number of seventy-five UNET models. Four out of five bridges were adopted for training and validation, and the fifth bridge was for testing. Most models averaged 80 iterations, and the training progress finally reached a training accuracy of 75% with a loss of about 0.6 without any overfitting. The result showed a substantial difference in the minimum and maximum values for the evaluated performance metrics (0.447 and 0.773 for global accuracy, 0.494 and 0.657 for mean accuracy, 0.239 and 0.716 for precision, 0.243 and 0.558 for true positive rate (TPR), 0.529 and 0.899 for true negative rate (TNR), 0.282 and 0.550 for F1-score. The results also indicated that the models trained on the raw annotated balanced dataset performed best for half of the metrics. In contrast, the models trained on raw data (with no dataset enhancement) performed better when only global accuracy was considered.
Analysis of Demodulation Methods of Tilted Fibre Bragg Gratings Based on the Local Shift of the Cladding Mode Group
Authors: Cięszczyk Sławomir , Skorupski Krzysztof , Panas Patryk
Published: March 2024

Tilted fibre Bragg gratings are optical fibre structures used as sensors of various physical quantities. However, their most popular application is to measure the refractive index of liquids. In such applications, it is important to obtain high measurement accuracy and the ability to distinguish two slightly different values of the refractive index. For this purpose, not only an appropriate periodic structure is needed, but also a demodulation method. We propose averaging the shift of a group of cladding modes. We use the TFBG grating, of which not all cladding modes exceed the cut-off limit. Such modes are not subject to leakage but only to shifts under the influence of SRI changes. To determine the average shift of a group of modes, we analyse cross-correlation algorithms of intensity-transformed optical spectra. Next, the cross-correlation main lobe is analysed by the centroid method, the Fourier phase and the Hilbert transform. Furthermore, phase changes of the main Fourier frequency are used to estimate a shift of part of the optical spectrum. Additionally, we propose the correction of the determined shift using a shift of another group of modes of the same TFBG grating.
Enhancing Acute Bilirubin Encephalopathy Diagnosis with Multi-Modal MRI: A Deep Learning Approach
Authors: Zhang Huan , Xia Shunren
Published: March 2024

Background: Acute Bilirubin Encephalopathy (ABE) is a major cause of infant mortality and disability, making early detection and treatment essential to prevent further progression and complications. Methods: To enhance the diagnostic capabilities of multi-modal Magnetic Resonance Imaging (MRI) for ABE, we proposed a deep learning model integrating an attention module (AM) with a central network (CentralNet). This model was tested on MRI data from 145 newborns diagnosed with ABE and 140 non-ABE newborns, utilizing both T1-weighted and T2-weighted images. Results: The findings indicated the following: (1) In single-modality experiments, the inclusion of AM significantly improved all the performance metrics compared to the models without AM. Specifically, for T1-weighted MRI, the accuracy was 0.639 ± 0.04, AUC was 0.682 ± 0.037, and sensitivity was 0.688 ± 0.09. For the T2-weighted images, the accuracy was 0.738 ± 0.039 and the AUC was 0.796 ± 0.025. (2) In multi-modal experiments, using T1 + T2 images, our model achieved the best accuracy of 0.845 ± 0.018, AUC of 0.913 ± 0.02, and sensitivity of 0.954 ± 0.069, compared to models without an AM and CentralNet. The specificity remained relatively stable, while the precision and F1 scores significantly increased, reaching 0.792 ± 0.048 and 0.862 ± 0.017, respectively. Conclusions: This study emphasizes the effectiveness of combining attention modules with CentralNet, significantly enhancing the accuracy of multi-modal MRI in classifying ABE. It presents a new perspective and possibility for the clinical application of multi-modal MRI imaging in the diagnosis of ABE.
Estimation of Chemical Compounds in Selected Italian and French Wines Produced through Organic and Conventional Methods
Authors: Ponder Alicja , Frąckowiak Maciej , Kruk Marcin , Hallmann Ewelina
Published: March 2024

In this study, Italian and French wines produced through organic and conventional methods were analyzed. Three different varieties of wines were examined, including Cabernet Sauvignon, Merlot, and Syrah. Individual compounds were quantitatively and qualitatively analyzed to measure their levels of organic acids and polyphenols, such as phenolic acids, flavonoids, and anthocyanins, as well as their different chemical fractions. Among the French wines, organic varieties contained significantly higher levels of lactic and acetic acids, as well as catechins and rutin, compared to those of their conventional counterparts. Based on its chemical components, one of the best wines in this group was Syrah. In contrast, similar results were observed for the Italian wine produced by both systems. One type of Italian wine with superior results was Cabernet Sauvignon.
BIZON–UGV for Airport Pavement Testing: Mechanics and Control
Authors: Chodnicki Marcin , Nowakowski Mirosław , Pietruszewski Paweł , Wesołowski Mariusz , Stępień Sławomir
Published: March 2024

The paper presents a study of the performance and development of unmanned ground vehicles (UGVs), establishing mathematical and numerical models of the chassis system. The model analysis is performed by 3D software package SolidWorks 2018 with finite element discretization. The mesh modelling and analysis are focused on studying the strength and stiffness of the robotic platform chassis and the distribution of stress and deformation in the extremal condition. The paper also presents an autopilot design with a new cascade control system for the autonomous motion of an unmanned ground vehicle based on proportional–integral–derivative (PID) and feedforward (FF) control. The PID-FF controller is part of a UGV used in a hybrid control system for precise control and stabilization, which is necessary to increase the vehicle motion stability and maneuver precision. The hybrid PID-FF control system proposed for the ground vehicle model gives satisfactory control quality while maintaining the simplicity of the control system. The presented tests performed in mechanical design and control analysis give good results and prove the usefulness of the designed unmanned device.
Lumbosacral Transitional Disorder as a Missing Link in Symptomatic Scoliosis
Authors: Landauer Franz , Trieb Klemens
Published: March 2024

Back pain in the presence of LSTVs (lumbosacral transitional vertebrae) was originally noted by Mario Bertolotti in 1917. The Lenke classification for scoliosis forms the current international standard. However, the connection between LSTVs and scoliosis is still poorly understood. The aim of this study is to show the connection between scoliosis and LSTVs in terms of their frequency and impact on further development. Our scoliosis outpatient clinic has an examination period that covers the years from 2014 to 2021. If LSTVs are radiologically suspected (AP and lateral X-ray of the spine) according to the Castellvi classification (II–IV), a further MRI investigation is initiated. Scoliosis shape is assigned according to the Lenke classification. Sagittal segmental differences are observed according to the vertical mean vertebral angle (VMVA) and its difference (Diff-VMVA). Assignment to the lumbar pain group is made in cases of a history of chronic or recurrent pain of more than 6 months. Differentiation is made at the initial presentation according to gender (male–female) and age (children and adults). Other associated diagnoses such as family correlations and the question of brace fitting are cited. Finally, the literature is reviewed from a scoliosis perspective and compared with the findings of the authors of this paper. A total of 1332 patients were evaluated, and LSTV Castellvi II–IV was confirmed in 72 of them (58 female and 14 male). The curvature extent of scoliosis in children and adults had a mean Cobb angle of 24.3° with a range from 11° to 55° (n-42) and 32.4° with a range from 12° to 66° (n-30), respectively. This indicates that 75% of n-54 patients were mostly classified as Castellvi II (pseudarthrosis) (IIA, 54.2%; IIB, 20.8%) in the total data. There were few patients classified with Castellvi III (22.2%) and IV (2.8%). A proportion of 87.5% of 72 patients were mostly classified as Lenke 1 (25.0% n-18) and Lenke 5 (62.5% n-45). According to the literature, the Diff-VMVA shows Cobb angles of 9.3° for Castellvi III and 5.3° for Castellvi IV. Half of the patients complain of chronic low back pain for at least 6 months or have recurrent complaints (48.6%). The complaints are mostly classified as Castellvi IIA (27.8%) and B (9.7%). The association of scoliosis and LSTVs yields only 13 studies (PubMed 04/18/2022) that focus on spine surgery issues and not on diagnostics. Attention should be given to the lumbosacral junction in Lenke 1 and Lenke 5. Nearly half of the patients in each category complain of chronic lumbar symptoms. This is notable in individual cases due to its rounding and thus its increased Diff-VMVA. Since only Castellvi II–IV is considered, a comparison of the frequency with other studies is not permissible. In conclusion, for scoliosis Lenke 5 and Lenke 1, the lumbosacral junction should be examined.
Leveraging Large Language Models for Sensor Data Retrieval
Authors: Berenguer Alberto , Morejón Adriana , Tomás David , Mazón Jose-Norberto
Published: March 2024

The growing significance of sensor data in the development of information technology services finds obstacles due to disparate data presentations and non-adherence to FAIR principles. This paper introduces a novel approach for sensor data gathering and retrieval. The proposal leverages large language models to convert sensor data into FAIR-compliant formats and to provide word embedding representations of tabular data for subsequent exploration, enabling semantic comparison. The proposed system comprises two primary components. The first focuses on gathering data from sensors and converting it into a reusable structured format, while the second component aims to identify the most relevant sensor data to augment a given user-provided dataset. The evaluation of the proposed approach involved comparing the performance of various large language models in generating representative word embeddings for each table to retrieve related sensor data. The results show promising performance in terms of precision and MRR (0.90 and 0.94 for the best-performing model, respectively), indicating the system’s ability to retrieve pertinent sensor data that fulfil user requirements.
Skill Development in Current and Future Workers to Thrive in the Digital Aquaculture Industry
Authors: McDonald Nicole , Lovric Kristen , Cosby Amy
Published: March 2024

The digitisation of the agriculture industry provides an opportune context for accelerating sustainable food production. Aquaculture is among the fastest-growing agriculture sectors and is well placed to help address food supply shortages, directly contributing to the achievement of UN Sustainable Development Goal 2. However, the sector currently has inadequate digital capability and enabling conditions to thrive. Social cognitive career theory asserts that career choices and persistence are directly influenced by a person’s thoughts, including their self-efficacy; therefore, the upskilling and reskilling of labour is required to build confidence in their digital capabilities and reduce turnover intentions. Consequently, this study sought to identify the key skills and needs for this workforce to transition to digitally driven ways of working. The results indicated that a range of skills and abilities that enable people to improve their digital capabilities were required. The findings are presented and discussed.
Carbon Fluxes from Soils of “Ladoga” Carbon Monitoring Site Leningrad Region, Russia
Authors: Abakumov Evgeny , Makarova Maria , Paramonova Nina , Ivakhov Viktor , Nizamutdinov Timur , Polyakov Vyacheslav
Published: March 2024

For the first time, data on the emission of climate-active gases from soils of different types of use of the south taiga sub-zone were obtained. Soils of the boreal belt are key elements of the global carbon cycle. They determine the sink and emission of climate-active gases. Soils near large cities are a major carbon sink, in the face of climate change, soils from sinks can become a source of carbon and contribute significantly to climate change on the planet. Studies of FCO2 and FCH4 fluxes were carried out on the territory of the monitoring site “Ladoga” located in the southern taiga subzone in soils of land not used in agriculture, former agriculture lands, and wetlands. During the chamber measurements, a portable gas analyzer GLA131-GGA (ABB, Canada) was used. The chamber was placed on the soil, after which the concentration of CO2, CH4 and H2O in the mobile chamber was recorded. As a result of the study it was found that the lowest emission of carbon dioxide is characteristic of soils developing on the soils of wetland and is 0.64 gCO2/(m2*year). Which is associated with a high degree of hydrophobicity of the territory and changes in the redox regime. The highest emission of carbon dioxide is registered in soils on the land not used in agriculture and is 4.16 gCO2/(m2*year). This is due to the formation of predominantly labile forms of carbon in the soil, which can be relatively rapidly involved in the carbon cycle and affect the active emission of carbon from the soil. According to the data obtained on FCH4 emission from soils, it was found that soils of land not used in agriculture and former agriculture lands were net sinks, while soils of wetlands were characterized by CH4 source, the emission was from 0.05 to 0.83 gCH4/(m2*year). The results obtained indicate spatial heterogeneity and changes in the carbon cycle within the monitoring site “Ladoga”, which are due to the change of plant communities and habitat type. Monitoring the release of important greenhouse gases in close proximity to major urban areas is an important task in the face of predicted climate change and increasing rates of urbanization.
Integrative Transcriptome Analysis of mRNA and miRNA in Pepper’s Response to Phytophthora capsici Infection
Authors: Li Yuan , Wang Nan , Guo Jianwen , Zhou Xianjun , Bai Xueyi , Azeem Muhammad , Zhu Liyun , Chen Lin , Chu Moli , Wang Hui , Cheng Wei
Published: March 2024

Phytophthora blight of pepper is a notorious disease caused by the oomycete pathogen Phytophthora capsici, which poses a great threat to global pepper production. MicroRNA (miRNA) is a class of non-coding small RNAs that regulate gene expressions by altering the translation efficiency or stability of targeted mRNAs, which play important roles in the regulation of a plant’s response to pathogens. Herein, time-series mRNA-seq libraries and small RNA-seq libraries were constructed using pepper roots from the resistant line CM334 and the susceptible line EC01 inoculated with P. capsici at 0, 6, 24, and 48 h post-inoculation, respectively. For mRNA-seq analysis, a total of 2159 and 2971 differentially expressed genes (DEGs) were identified in CM334 and EC01, respectively. For miRNA-seq analysis, 491 pepper miRNAs were identified, including 330 known miRNAs and 161 novel miRNAs. Among them, 69 and 88 differentially expressed miRNAs (DEMs) were identified in CM334 and EC01, respectively. Examination of DEMs and their targets revealed 22 regulatory networks, predominantly featuring up-regulated miRNAs corresponding to down-regulated target genes. Notably, these DEM-DEG regulatory networks exhibited significant overlap between CM334 and EC01, suggesting that they might contribute to pepper’s basal defense against P. capsici. Furthermore, five selected DEMs (miR166, miR1171, miR395, miR530 and miRN2) and their target genes underwent qRT-PCR validation, confirming a consistent negative correlation in the expression patterns of miRNAs and their targets. This comprehensive analysis provides novel insights into the regulatory networks of miRNAs and their targets, offering valuable contributions to our understanding of pepper’s defense mechanisms against P. capsici.
Encapsulation of Fennel and Basil Essential Oils in β-Cyclodextrin for Novel Biopesticide Formulation
Authors: Devrnja Nina , Anđelković Boban , Ljujić Jovana , Ćosić Tatjana , Stupar Sofija , Milutinović Milica , Savić Jelena
Published: March 2024

β-cyclodextrin (β-CD) is a good host for the encapsulation of fennel and basil essential oils (FEO and BEO, respectively) and the formation of inclusion complexes (ICs) using the co-precipitation method. According to the results of the GC/MS analysis conducted in this study, monoterpenes and monoterpenoids were the dominant chemical groups in total FEO, while in BEO, these two groups occurred along with sesquiterpenes and sesquiterpenoids. The presence of dominant compounds from both EOs was validated using the FT-IR spectra of ICs, which indicated successful complexation. Analyses conducted using SPME/GC-MS showed the continuous emission of volatiles over 24 h from both ICs. Under SEM, particles of both ICs appeared to have a rectangular or rhomboid morphology and few aggregates. The insecticidal properties of EOs and ICs with β-CD were tested on the Colorado potato beetle (CPB) as a model pest. The inclusion complex of β-CD with FEO altered the developmental dynamic and body mass of the CPB. The initial increase in the proteolytic activity of CPB larvae fed with potato plants sprayed with ICs was not maintained for long, and the proteolytic efficacy of treated larvae remained in line with that of the control larvae. Future investigations will focus on manipulating the volume of EOs used and the treatment duration for optimal efficacy and potential application.
The Osteocyte with SB216763-Activated Canonical Wnt Signaling Constructs a Multifunctional 4D Intelligent Osteogenic Module
Authors: Zhang Jinling , Zhang Ying , Chen Jiafeng , Gong Weimin , Tu Xiaolin
Published: March 2024

The enhancement of bioactivity in materials has become an important focus within the field of bone tissue engineering. Four-dimensional intelligent osteogenic module, an innovative fusion of 3D printing with the time axis, shows immense potential in augmenting the bioactivity of these materials, thereby facilitating autologous bone regeneration efficiently. This study focuses on novel bone repair materials, particularly bioactive scaffolds with a developmental osteogenic microenvironment prepared through 3D bioprinting technology. This research mainly creates a developmental osteogenic microenvironment named “DOME”. This is primed by the application of a small amount of the small molecule drug SB216763, which activates canonical Wnt signaling in osteocytes, promoting osteogenesis and mineralization nodule formation in bone marrow stromal cells and inhibiting the formation of adipocytes. Moreover, DOME enhances endothelial cell migration and angiogenesis, which is integral to bone repair. More importantly, the DOME-PCI3D system, a 4D intelligent osteogenic module constructed through 3D bioprinting, stably supports cell growth (91.2% survival rate after 7 days) and significantly increases the expression of osteogenic transcription factors in bone marrow stromal cells and induces osteogenic differentiation and mineralization for 28 days. This study presents a novel approach for bone repair, employing 3D bioprinting to create a multifunctional 4D intelligent osteogenic module. This innovative method not only resolves challenges related to shape-matching and biological activity but also demonstrates the vast potential for applications in bone repair.
How to Easily Make Self-Sensing Pneumatic Inverse Artificial Muscles
Authors: Potnik Valentina , Frediani Gabriele , Carpi Federico
Published: March 2024

Wearable mechatronics for powered orthoses, exoskeletons and prostheses require improved soft actuation systems acting as ‘artificial muscles’ that are capable of large strains, high stresses, fast response and self-sensing and that show electrically safe operation, low specific weight and large compliance. Among the diversity of soft actuation technologies under investigation, pneumatic devices have been the focus, during the last couple of decades, of renewed interest as an intrinsically soft artificial muscle technology, due to technological advances stimulated by applications in soft robotics. As of today, quite a few solutions are available to endow a pneumatic soft device with linear actuation and self-sensing ability, while also easily achieving these features with off-the-shelf materials and low-cost fabrication processes. Here, we describe a simple process to make self-sensing pneumatic actuators, which may be used as ‘inverse artificial muscles’, as, upon pressurisation, they elongate instead of contracting. They are made of an elastomeric tube surrounded by a plastic coil, which constrains radial expansions. As a novelty relative to the state of the art, the self-sensing ability was obtained with a piezoresistive stretch sensor shaped as a conductive elastomeric body along the tube’s central axis. Moreover, we detail, also by means of video clips, a step-by-step manufacturing process, which uses off-the-shelf materials and simple procedures, so as to facilitate reproducibility.
Insecure Attachment and Depressive Symptoms among a Large Sample of Chinese Young Adults: The Mediating Role of Positive and Negative Self-Compassion
Authors: Yang Shuhan , Ren Yizhen , Song Xi , Ge Jie , Peng Yu
Published: March 2024

Objective: The present study aimed to explore the relationship between insecure attachment (attachment anxiety and avoidance) and depressive symptoms in Chinese young adults as well as the mediating roles of positive and negative self-compassion. Methods: An online survey was administered among college students in mainland China. This involved their completion of questionnaires encompassing socio-demographic details, attachment anxiety, attachment avoidance, self-compassion, and depressive symptoms. Results: Attachment anxiety and avoidance exhibited connections with depressive symptoms through increased negative self-compassion and decreased positive self-compassion. Attachment anxiety was associated with depressive symptoms primarily through the mediating effect of negative self-compassion. Conversely, attachment avoidance was related to depressive symptoms mainly through the mediating role of positive self-compassion. Conclusions: Attachment anxiety exerted a slightly stronger influence on negative self-compassion, whereas attachment avoidance exhibited a more prominent impact on positive self-compassion. Despite these differences, both attachment styles were comparable in their overall influence on depressive symptoms. This revelation provides fresh insights into the relationship between insecure attachment and depressive symptoms among young adults, underscoring the importance for intervention program development.
A Meta-Analysis on the Effectiveness of Gratitude Promotion Programs for South Korean College Students
Authors: Lee Namki , Kim Yucheon
Published: March 2024

This study delves into the importance and consequences of gratitude promotion programs for South Korean college students. It uses meta-analyses to evaluate the effects of such programs on this demographic, shedding light on their significance and implications. To that end, we selected 11 papers in which 683 persons participated as study subjects, analyzing them using the PRISMA methodology. We observed an overall effect size of 0.6671, categorized as above medium. The effect sizes of the sub-areas were cognitive (d = 1.37), emotional (d = 0.60), and behavioral (d = 0.77), with the cognitive area exhibiting the largest effect size. When categorized by program type, the effect size (d = 0.85) for the program involving gratitude practice and gratitude recording surpassed the effect size (d = 0.77) of the programs where participants solely engaged in gratitude recording. According to program execution durations, the largest effect size (d = 1.61) appeared in the group that executed the program for the longest period of at least 16 weeks. This study highlights the areas where gratitude promotion programs for college students prove to be most effective. These findings offer valuable insights for tailoring and developing gratitude promotion programs in the future.
Enhancing Job Satisfaction and Productivity through Knowledge Management Infrastructure: A Case of Construction Industry
Authors: Tabejamaat Sajad , Ahmadi Hassan , Barmayehvar Behnod , Banihashemi Saeed
Published: March 2024

This study rigorously investigates the influence of knowledge management infrastructures (KMI) on employees’ job satisfaction (JS) within the Iranian construction sector. It specifically investigates how structural, cultural, and technological facets of KMIs affect this satisfaction. The research adopts a quantitative methodology, utilizing established measurement tools from Gold et al. for KMIs and Hackman and Oldham for JS. The empirical Information was gathered via a survey distributed to stratified random sample of 150 employees and managers from five diverse construction firms in Iran. Examining the collected data with the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, the study presents nuanced insights. It identifies that while cultural and technological infrastructures of KMIs significantly contribute to JS, the structural infrastructure does not exhibit a similar impact. Additionally, demographic factors such as age and professional experience were found to be non-contributory in the dynamics between KMIs and JS. However, gender and educational background emerged as significant moderating variables. Remarkably, employees with advanced academic qualifications reported higher satisfaction, likely due to the alignment of specialized knowledge with their professional roles. This research contributes to the current knowledge base by outlining the distinct components of KMIs that bolster JS in the construction industry, thereby offering a targeted framework for industry practitioners and policymakers to enhance employee well-being and organizational efficiency.
Conceptual Approaches in Contemporary Hotel Interiors in Northern Cyprus: Ornamentation and Representation
Authors: Altan Hasan , Gürdallı Huriye
Published: March 2024

Cyprus with its rich cultural heritage has been the showcase of ornamentation throughout history with a rich variety of materials, details, and narratives. Integrating ornamentation with its body architecture can be seen as one of the storytellers of these narratives through design elements. After the mid-1990s when casinos had been banned in Turkey, five-star casino hotels became one of the main investment areas in North Cyprus. Together with this new building type and new users’ expectations with a new understanding of holidays, the 21st century brought the changing use of ornamentation in hotel interiors and, hence, decoration came to the fore more than before. Hotel lobbies welcoming the users to their second homes and introducing the hotels’ identities have always been seen as the most important area of hotels by investors, designers, and hotel managers. Sometimes the reception areas were perceived as the living room of the hotel customers where they feel attached culturally, socially, or economically, and sometimes it could be a place where they can feel themselves as one of the characters of ancient history, a king or a queen for a while. Hence, hotel interiors, in general, and hotel lobbies, in particular, acted as a cultural representative, a social status symbol, and a political image of the story told. The aim of this paper is to examine five-star hotel lobbies within the framework of ornamentation through a reading model created with the concepts used by theoreticians. Together with the site visits and visual recordings, the analysis conducted in this paper is based on qualitative data incorporated by a rich theoretical background on ornamentation. The paper tries to highlight the representational value of ornamentation that can help to understand and interpret the spatial transformation of hotel interiors.
Stem Cell Origin of Cancer: Clinical Implications beyond Immunotherapy for Drug versus Therapy Development in Cancer Care
Authors: Tu Shi-Ming , Trikannad Anup K. , Vellanki Sruthi , Hussain Munawwar , Malik Nazish , Singh Sunny R. , Jillella Anusha , Obulareddy Sri , Malapati Sindhu , Bhatti Sajjad A. , Arnaoutakis Konstantinos , Atiq Omar T.
Published: March 2024

Although immunotherapy has revolutionized cancer care, there is still an urgent need to enhance its efficacy and ensure its safety. A correct cancer theory and proper scientific method empower pertinent cancer research and enable effective and efficient drug versus therapy development for patient care. In this perspective, we revisit the concept of immune privilege in a cancer cell versus normal cell, as well as in a cancer stem cell versus normal stem cell. We re-examine whether effective immunotherapies are efficacious due to their anti-cancer and/or immune modulatory mechanisms. We reassess why checkpoint inhibitors (CPIs) are not equal. We reconsider whether one can attribute the utility of immunotherapy to specific cancer subtypes and its futility to certain tumor/immune compartments, components, and microenvironments. We propose ways and means to advance immunotherapy beyond CPIs by combining anti-PD1/L1 with various other treatment modalities according to an appropriate scientific theory, e.g., stem cell origin of cancer, and based on available clinical evidence, e.g., randomized clinical trials. We predict that a stem cell theory of cancer will facilitate the design of better and safer immunotherapy with improved selection of its use for the right patient with the right cancer type at the right time to optimize clinical benefits and minimize potential toxic effects and complications.