Balance Values Research Articles

Evaluating the Cost-Effectiveness of Etranacogene Dezaparvovec Gene Therapy for Hemophilia B Treatment in the USA.

Hemophilia B, a severe genetic disorder, involves substantial treatment costs and frequent interventions. Etranacogene dezaparvovec (EDZ) is a recently approved gene therapy for hemophilia B. This study evaluates the cost-effectiveness of EDZ compared with conventional factor IX (FIX) prophylaxis. A semi-Markov model simulated a cohort of adult males with severe hemophilia B to assess the economic impact of EDZ versus FIX prophylaxis over a lifetime horizon from a health system perspective in the USA. Inputs derived from clinical trials included therapy durability and transition probabilities based on Pettersson Scores. Scenario analyses incorporated frameworks suggested by the Institute for Clinical and Economic Review for single or short-term transformative therapies. Base-case analysis showed that at a cost of US$3.5 million, EDZ led to lifetime cost savings of US$11 million and an additional 0.64 quality-adjusted life years (QALYs) compared with FIX. However, FIX has extremely high annual costs. When annual cost offsets attributed to EDZ were capped at US$150,000, EDZ was found to have a threshold price of US$3.1 million at a willingness-to-pay of US$150,000 per QALY. EDZ proved to be a dominant strategy over FIX prophylaxis in the base-case scenario, providing large cost savings and slightly better outcomes. The substantial costs associated with FIX are a primary driver behind these results. The introduction of cost-offset caps significantly affects the value-based price of EDZ. Using caps on cost offsets in considering price can help to balance affordability and value in the health system.

AI-based hierarchical approach for optimizing breast cancer detection using MammoWave device

Breast cancer is a global health concern, ranking as the second leading cause of death among women. Current screening methods, such as mammography, face limitations, particularly for women under 50 due to radiation concerns and frequency of examination restrictions. MammoWave, utilizing microwave signals (1 to 9 GHz), emerges as an innovative and safe technology for breast cancer detection. This paper focuses on the numerical data extracted from MammoWave, presenting a hierarchical approach to address challenges posed by a diverse dataset of over 1000 samples from two European hospitals. The proposed approach involves unsupervised clustering to classify data into two main groups, followed by binary classification within each group to distinguish healthy and non-healthy cases. Careful consideration is given to feature extraction methods and classifiers at each step. The unique influence of sub-bands within the 1 to 9 GHz range on the diagnosis model is observed, leading to the selection of suitable sub-bands, feature extraction methods, and classification models. An optimization algorithm and a defined cost function are employed to achieve high and balanced sensitivity, specificity, and accuracy values. Experimental results showcase a promising overall balanced performance of around 70 %, representing a significant milestone in breast cancer detection using microwave imaging. MammoWave, with its novel approach, provides a solution that overcomes age and frequency of examination related limitations associated with existing screening methods, contributing to enhanced breast health monitoring for a broader population.

A Comparative Analysis of Bhumija-Style Gondeshwar Temple’s Acoustic Characteristics with Hemadpanti-Style Temples

ABSTRACT The study of the Hindu temple’s acoustics, acoustic characteristics, sound quality for clarity of music and speech intelligibility, and other applicable acoustic parameters must be addressed more in the literature. This study has conducted field measurements in Bhumija-style Gondeshwar temples in Nashik district, India. The temple has a distinctive tiered domed concave ceiling design in the pavilion and sanctum space and unique acoustic properties shaped by its architectural features. The research aims to report and investigate the acoustic characteristics through the well-known Impulse Response (IR) method to investigate empty temple conditions. A 3D model was imported and calibrated in ODEON 12.10 to compare scenarios when the worshippers were 100% present in the temple for various musical and chanting activities. Objective room-acoustic parameters such as Early Decay Time (EDT), Reverberation Time (T30), Clarity of Music (C80), Definition (D50), and Speech Transmission Index (STI) were measured and analyzed. The field measurements were also compared with previously studied Hemadpanti-style Hindu temples, such as the Markanda and Mrikunda temples. The results indicated that the tiered ceiling in Hemadpanti temples indicates a balance and moderate T30 values for all frequency ranges, as compared to the tiered concave domed ceiling in Bhumija-style Gondeshwar temple with higher T30 values observed at the lower frequency.

Varus-valgus native knee laxity in extension displays an almost rectangular pattern and does not correlate with lower limb alignment.

Optimal ligament balance is crucial for successful total knee arthroplasty (TKA), which is a standard procedure for managing end-stage knee osteoarthritis. However, the reported values of ligament balance vary due to different methodologies and population differences, which requires further studies. This study aimed to investigate the varus-valgus ligament balance in healthy knees of Japanese individuals and its relationship with lower limb alignment. The studyanalyzed64 knees from 33 healthy young adults using stress radiographs to measure varus-valgus laxity. The mechanical hip-knee-ankle angle, medial proximal tibial angle, and lateral distal femoral angles were determined using digital long-leg radiographs. Varus and valgus laxities were compared, and the relationship between ligament balance and alignment parameters was analyzed. Mean varus laxity (3.6°± 1.3°) was significantly greater than mean valgus laxity(2.9°± 1.0°) (p<0.0001). No significant association was observed between ligament balance and alignment parameters. Healthy knees of Japanese individuals exhibited slightly greater varus laxity (0.7°) than valgus laxity, with no correlation observed between ligament balance and lower limb alignment. The finding underscores the importance of recognizing alignment diversity while noting that alignment does not influence ligament balance; this is particularly relevant in modern TKA techniques focusing on patient-specific joint and ligament reconstructions. The study's findings could help formulate strategies benefiting knee osteoarthritis management.

Machine learning approaches for predicting impact sensitivity and detonation performances of energetic materials

Excellent detonation performances and low sensitivity are prerequisites for the deployment of energetic materials. Exploring the underlying factors that affect impact sensitivity and detonation performances as well as exploring how to obtain materials with desired properties remains a long-term challenge. Machine learning with its ability to solve complex tasks and perform robust data processing can reveal the relationship between performance and descriptive indicators, potentially accelerating the development process of energetic materials. In this background, impact sensitivity, detonation performances, and 28 physicochemical parameters for 222 energetic materials from density functional theory calculations and published literature were sorted out. Four machine learning algorithms were employed to predict various properties of energetic materials, including impact sensitivity, detonation velocity, detonation pressure, and Gurney energy. Analysis of Pearson coefficients and feature importance showed that the heat of explosion, oxygen balance, decomposition products, and HOMO energy levels have a strong correlation with the impact sensitivity of energetic materials. Oxygen balance, decomposition products, and density have a strong correlation with detonation performances. Utilizing impact sensitivity of 2,3,4-trinitrotoluene and the detonation performances of 2,4,6-trinitrobenzene-1,3,5-triamine as the benchmark, the analysis of feature importance rankings and statistical data revealed the optimal range of key features balancing impact sensitivity and detonation performances: oxygen balance values should be between −40% and −30%, density should range from 1.66 to 1.72 g/cm3, HOMO energy levels should be between −6.34 and −6.31 eV, and lipophilicity should be between −1.0 and 0.1, 4.49 and 5.59. These findings not only offer important insights into the impact sensitivity and detonation performances of energetic materials, but also provide a theoretical guidance paradigm for the design and development of new energetic materials with optimal detonation performances and reduced sensitivity.

Ethnographic Study: The Choice of Place and Birth Attendants from the Socio-Cultural Perspective in the Tunjung Benuaq Dayak Tribe

WHO recommends Skill Birth Attendants (SBA) for all births. Around 50 million mothers in developing countries give birth at home without the help of medical personnel. The trust in traditional birth attendants (TBA), meaning that social and cultural influences still strongest. Objective: to analyze the choice of place and birth attendants in the Tunjung Benuaq Dayak Tribe through a socio-cultural perspective in the working area of the Barong Tongkok Community Health Center. Methodology: Qualitative Design with Ethnographic study using the Rapid Ethnographic Assessment Procedure (REAP) method. Snowball sampling is a variation of Purposive Sampling. In-depth interviews were conducted with 12 informants. Data analysis uses Thematic analysis. Results: The Tunjung Benuaq Dayak tribe upholds the values of balance and harmonization regarding human relationships with God, human and the environment. They developed local cultures based on complementary belief systems. There is a positive acceptance of science. The local wisdom of Santaap, eating a small portion of the food served, illustrates that they can accept little of knowledge. Customs are still maintained in the birthing process which is carried out by village shamans who are highly trusted by the community. They make the rituals, belief in myths (tempuunt), the existence of spirits who guard and interfere with the birthing process. Conclusion: Socio-cultural values such as trust, knowledge, and customs are very strong guidelines for the Tunjung Benuaq Dayak tribe in choosing a place and birth attendant. Suggestion: preservation of culture and customs that are still considered good in childbirth practices is highly desirable.

The Effect Combined Of Intradialytic Exercise: Static Stretching And Dynamic Streching Lower Limb, Increase Physical Funtion In Chronic Kidney Diseases On Haemodialysis Patients Quasi Experiment

Background: Individuals with end-stage kidney disease (ESKD) usually engage in minimal physical activity, as renal failure progresses in chronic kidney disease (CKD), muscle mass and physical function decrease. Physical activity (PA) is important in maintaining/improving health in all population. Aim of this study to evaluate effect exercise of combine static stretching and dynamic stretching increasing Physical Function in CKD on HD patients. Methods: design of this study was quasi experiment in one group 39 respondents CKD on HD patients meet inclusion criteria. Implementation 12 weeks intradialytic exercise combine static and dynamic stretching lower limbs include leg, ankles, knee, femoral and hip. During exercise evaluate using Borg Skill to know level of fatigue. Comparing with before-after test Time Up and Go 3 meters return measurement. Result: The results of this study demonstrate that the mean values of functional balance, which are much lower in this population than in their healthy counterparts, can be improved by a video-based intradialytic exercise program that includes stretching and endurance activities. In particular, notable advancements were noted in the average TUG test 3 meter return result, which is a reliable indicator of hospitalization, cardiovascular events, and mortality in dialysis patients. Conclusion all participants reported after 12 weeks static and dynamic stretching felt more flexible range of motion knee and leg, walking stronger than before and felt more conformable in walking reported, significant different before and after given static and dynamic stretching, both Static and dynamic stretching effective for improving functional balance and physical performance, Recommended static and dynamic stretching to be rutine activity in Hemodialysis unit.

Relevansi Pemikiran Pendidikan Abdullah Nashih Ulwan dalam Pendidikan Islam Kontemporer

This research examines the Islamic education thought of Abdullah Nashih Ulwan, a 20th century educational figure who is influential in the development of contemporary Islamic education. Ulwan offers a holistic concept of education by emphasising the cultivation of tawhid, noble character, balance, and the important role of parents and teachers. The research method used is a literature study by analysing Ulwan's main work, "Tarbiyatul Aulad fil Islam" and other relevant sources. The findings show that despite criticisms, Ulwan's thoughts are still relevant and can be implemented in modern Islamic education by adjusting strategies and methods according to the times. Ulwan emphasized the importance of instilling the values ​​of monotheism, noble morals and balance in children's education from an early age. He recommends effective educational methods, such as example, habituation, advice, educational punishment, and rewards. Apart from that, Ulwan also emphasized the important role of parents and teachers in the child's education process, as well as the importance of physical and social education for children.

Overlapping community detection in weighted networks via hierarchical clustering.

In real-world networks, community structures often appear as tightly connected clusters of nodes, with recent studies suggesting a hierarchical organization where larger groups subdivide into smaller ones across different levels. This hierarchical structure is particularly complex in trade networks, where actors typically belong to multiple communities due to diverse business relationships and contracts. To address this complexity, we present a novel algorithm for detecting hierarchical structures of overlapping communities in weighted networks, focusing on the interdependency between internal and external quality metrics for evaluating the detected communities. The proposed Graph Hierarchical Agglomerative Clustering (GHAC) approach utilizes maximal cliques as the basis units for hierarchical clustering. The algorithm measures dissimilarities between clusters using the minimal closed trail distance (CT-distance) and the size of maximal cliques within overlaps, capturing the density and connectivity of nodes. Through extensive experiments on synthetic networks with known ground truth, we demonstrate that the adjusted Silhouette index is the most reliable internal metric for determining the optimal cut in the dendrogram. Experimental results indicate that the GHAC method is competitive with widely used community detection techniques, particularly in networks with highly overlapping communities. The method effectively reveals the hierarchical structure of communities in weighted networks, as demonstrated by its application to the OECD weighted trade network, which describes the balanced trade value of bilateral trade relations.

A metaheuristic-based optimization model for flight procedure design

In recent years, the continuous increase in air traffic has led to a saturation of available airspace. The new localizer performance with vertical guidance (LPV) instrument approach procedures (IAPs) offer additional capacity at aerodromes and in airspaces. To support their implementation, a specifically developed model focused on the improved IAP design process and optimized solution generation is proposed. The model provides a fully automated search of the solution space by employing the bee colony optimization metaheuristic algorithm. The resulting list of alternatives is ranked by the objective function score, which is affected by the balancing values of the complexity indicators and the achieved obstacle clearance height. The model’s capabilities are successfully validated against the challenging operational environment of Podgorica Airport. The model was initially developed to conduct IAP feasibility studies; however, it can also be used in the initial stages of airport planning projects or for IAP criteria validation.

Revealing protein aggregation behaviour and dispersion properties induced by molecular interactions between sucrose esters and myofibrillar protein in an aqueous phase system

The effects of sucrose esters (SE) with varying hydrophilic-lipophilic balance (HLB) values (SE 11, 13, 15) and different concentrations (0.01, 0.1, 1.0 mM) on the dispersion properties and structure of myofibrillar proteins (MPs) in the aqueous phase were investigated. The results demonstrated that the SE 11 and SE 13 reduced the particle size and enhanced the distribution uniformity of the MPs. All of the SE exhibited a slight reduction in the ζ-potential absolute values of the MPs. Meanwhile, the SE 11 significantly reduced the turbidity of the MPs, especially in the 0.1 mM group. Macroscopic and microscopic images showed that the optimum dispersion state was in the SE 11–0.1 group. Furthermore, the interactions between SE and MPs exerted a significant impact on the proteins structure. The SE 13 and SE 15 caused significant changes, which presented concentration correlation, in the tertiary and secondary spatial structures of the MPs. Nevertheless, slight structural changes were observed in MPs with different SE11 concentrations. The SE did not alter the molecular weight of the MPs, i.e. it did not induce irreversible aggregation, nor degradation of the proteins. These results were verified by the surface hydrophobicity, UV–Vis spectroscopy, intrinsic fluorescence, circular dichroism, and SDS-PAGE. Molecular docking simulation showed that hydrophobic interactions and hydrogen bonds were the main interaction force between SE 11 and MPs. Therefore, our findings provided meaningful insights into the dispersion state of the MPs aqueous containing SEs and contributed to the practical application of non-ionic surfactants in meat protein processing.

Mapping and assessment of ecological vulnerability to wildfires in Europe

BackgroundWildfires play a significant and complex role in ecosystems, influencing various aspects of their functioning and structure. These natural disturbances can positively and negatively impact ecosystems, shaping landscapes, nutrient cycles, biodiversity, and ecological processes. This study focuses on assessing and integrating the different factors that affect the ecological vulnerability to wildfires at the European scale. Our methodology follows three steps. Firstly, ecological values based on biological distinctiveness and conservation status were estimated to understand pre-fire conditions better. Secondly, we obtain vegetation’s coping capacity (or resistance) to the impacts of fire, considering the functional traits of plants and fire characteristics through a fire extreme scenario. Finally, post-fire recovery time was calculated by considering the species-specific recovery time, recovery starting time, growth recovery rate, and the environmental constraints affecting the optimal vegetation response. These three variables were combined using a dynamic model that assumed the change of value due to wildfires integrated throughout the recovery time.ResultsOur results indicate that the tundra biome emerges as the most ecologically vulnerable to fire, primarily due to its high ecological values and long recovery time, which outweigh its moderate coping capacity. Following closely, the temperate conifer forests also exhibit high vulnerability driven by their high recovery time, despite moderate ecological and coping capacity values. The boreal forests rank next, with moderate vulnerability due to their long recovery time and moderate coping capacity. The Mediterranean region, although having moderate ecological values and recovery time, shows a notable vulnerability influenced by lower coping capacity. The temperate broadleaf and mixed forests demonstrate relatively lower vulnerability owing to their balanced ecological values, moderate recovery time, and substantial coping capacity. Lastly, the temperate grasslands, savannas, and shrublands are the least vulnerable, benefiting from lower ecological values and the fastest recovery time, alongside moderate coping capacity, which collectively reduce their overall fire vulnerability.Furthermore, we found that coping capacity is the factor that most influenced ecological vulnerability to wildfires.ConclusionsThe study identifies key zones for European or national policies on fire prevention and post-wildfire regeneration. It offers insights into effective forest management and conservation policies, applicable to current conditions. Additionally, the methods can predict future ecological vulnerability to wildfires based on climatic and socio-economic trends.

Studies on the complex interactions of different egg yolk proteins and their roles on rheological properties and stability of high internal phase Pickering emulsions

Egg yolks (EY) are widely used in food emulsions due to their high contents of amphiphilic proteins. This study investigated the different characterization and interactions among low-density lipoproteins (LDL), high-density lipoproteins (HDL) and phosvitins (Pv) using fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), scanning electron microscopy (SEM). The high internal-phase Pickering emulsions (HIPPEs) prepared by those protein complexes were analyzed on the basis of droplet size, optical microstructure, confocal microscopy images, interfacial protein compositions and rheological behavior. Results showed that LDL had a smaller particle size (56.44 ± 1.27 nm) and a greater ability to reduce interfacial tension, resulting in smaller droplet sizes (7.09 ± 0.25 μm) in LDL-stabilized HIPPEs. In contrast, HDL possessed higher hydrophobicity and a greater number of free sulfhydryl groups. The droplets in HDL-stabilized HIPPEs were larger, more compact, and exhibited lower solid lipid balance values in rheological tests. The competing adsorption of HDL and LDL at the interface influenced the properties of HDL-LDL prepared emulsions. However, an appropriate amount of Pv promoted the formation of an electrical double layer between LDL and HDL, further reducing interfacial tension. LDL-HDL-Pv complex stabilized HIPPEs displayed more gel-like rheological properties and the highest stability during the storage. This study provides insights for the development of EY protein-based emulsification systems in food industry.

Preparation and performance evaluation of CNF‐enhanced polyether‐modified polysiloxane defoamer

AbstractIn this article, polyether‐modified polysiloxanes were synthesized by the reaction of poly(methyl hydrogen siloxane) (PMHS) with Allyl alcohol polyether B‐400. FT‐IR, laser particle size analysis, hydrophilic–lipophilic balance (HLB) value test, and surface tension measurements were used to characterize its structures and properties. The results show that the control law for the HLB value of polyether‐modified polysiloxanes was obtained as follow: the HLB value increases with increasing hydrogen content of PMHS. When the polyether‐modified polysiloxanes were used to emulsify the polysiloxane, at the HLB value of 10.5, the average particle size of the emulsion was about 0.23 μm with a narrow particle size distribution. The emulsion has good emulsifying and dispersing properties, as well as excellent foam elimination and foam inhibition performance. When the cellulose nanofibrils (CNF) was used as a protective agent for the preparing of the polysiloxane defoamer, the stability of the emulsion does not affect, but its foam elimination and foam inhibition of emulsion can be further improved at the presence of CNF. The lowest surface tension of CNF‐enhanced polyether‐modified polysiloxane defoamer is about 22.4 mN m−1, which has good surface property. When the concentration of CNF‐enhanced polyether‐modified polysiloxane defoamer was 0.1 g L−1, the foam elimination time and foam inhibition time were 5.8 s and 38 min, respectively, at the temperature (80°C) and alkali environment (pH 13).

Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study

PurposeTo investigate the potential role of radiomics-based machine learning in differentiating small renal oncocytoma (RO) from clear cells carcinoma (ccRCC) on contrast-enhanced CT (CECT). Material and methodsFifty-two patients with small renal masses who underwent CECT before surgery between January 2016 and December 2020 were retrospectively included in the study. At pathology examination 39 ccRCC and 13 RO were identified. All lesions were manually delineated unenhanced (B), arterial (A) and venous (V) phases. Radiomics features were extracted using three different fixed bin widths (bw) of 25 HU, 10 HU, and 5 HU from each phase (B, A, V), and with different combinations (B+A, B+V, B+A+V, A+V), leading to 21 different datasets. Montecarlo Cross Validation technique was used to quantify the estimator performance. The final model built using the hyperparameter selected with Optuna was trained again on the training set and the final performance evaluation was made on the test set. ResultsThe A+V bw 10 achieved the greater median (IQR) balanced accuracy considering all the models of 0.70 (0.64–0.75), while A bw 10 considering only the monophasic ones. The A bw 10 model achieved a median (IQR) sensitivity of 0.60 (0.40–0.60), specificity of 0.80 (0.73–0.87), AUC-ROC of 0.77 (0.66–0.84), accuracy of 0.75 (0.70–0.80), and a Phi Coefficient of 0.38 (0.20–0.47). None of the nine models with the lowest mean balanced accuracy values implemented features from A. ConclusionThe A bw 10 model was identified as the most efficient mono-phasic model in differentiating small RO from ccRCC.

Evaluation of Population Projections for Serbia 2011-2041 after the 2022 Census Results

Following the 2022 Population Census, the first assessment of Serbia's official population projections based on data from the 2011 Census and other vital statistics and migration sources has become feasible. According to the Census results, the population of Serbia in 2022 is approximately 2.3% below the projected values for that year, according to the closest projection variant – the constant variant. This paper explores the differences in terms of projected and realized values of fertility, mortality, and migration balance. Hypotheses regarding the total fertility rate and the number of live births were largely confirmed. However, a notable deviation was observed in mortality rates, primarily attributed to the COVID-19 pandemic period, during which life expectancy decreased by nearly two years. Apart from the pandemic's effect, the deviation between projected and realized population values is also due to the assumption of a positive migration balance for the period 2011-2022. Contrary to this optimistic assumption, the vital statistics method reveals negative external migration during this period.

The Impact of Local and Foreign Investments on the Domestic Development on an International Scale on Social Equality and Environmental Support (Green Governance) of the Indonesian People

This study examines the impact of foreign and local investors’ interference in the national development as a form of President Joko Widodo’s government program on social equality and environmental support for Indonesia’s lower-level communities. Joko Widodo as the Indonesian President since the beginning of his term initiated infrastructure development throughout Indonesia, inviting foreign and local investors. These investors can rapidly raise the value of the Indonesian economy. The high value of the Indonesian economy also hurts various communities, especially on the social level of Indonesian society. Social equality in Indonesia has not achieved a balanced value among its people, which leads to social inequality in all aspects of social welfare of the Indonesian people.. Environmental support for people who experience social inequality is not achieved, this can be viewed in terms of shelter, food, clean water intake, and several other aspects that do not support the lives of people with social inequality. This research aims to realize how influential investors and the development of the Indonesian nation are on their communities, especially among the lower level who are not reached by the Indonesian government as a form of support for environmental welfare. The study recommends investors make breakthroughs that provide benefits for people with low social levels so that they do not experience further deterioration in life, the government must also play an effective role in realizing decent environmental support (green environment) to achieve social equality. Keywords: green environment, social equality, interference of foreign investors, interference of local investors

Optimizing Parcel Package Selection Using an Enhanced Multiple Knapsack Problem Approach with Greedy Dynamic Programming

This study introduces an enhanced algorithm for solving the Multiple Knapsack Problem to optimize parcel package selection, particularly focusing on balancing value maximization with price and weight constraints. Due to Dynamic Programming requires significant memory, The proposed method employs a heuristic approach such as greedy algorithm, initially sorting items by their value-to-weight ratio and iteratively filling each knapsack to maximize total value while adhering to constraints. The algorithm demonstrates high computational efficiency, solving instances within 0.07 seconds, and achieves a total value of 122.00 across multiple knapsacks. However, the analysis reveals a significant underutilization of weight capacity (44.74%) compared to price capacity (98.92%), highlighting the need for more sophisticated constraint handling. Limitations such as the simplistic heuristic approach and single-objective focus are discussed. Future work will explore the integration of advanced optimization techniques, dynamic constraints, and multi-objective frameworks to improve solution quality and applicability in real-world scenarios. This research contributes to the field by providing a foundation for further exploration of Multiple Knapsack Problem in logistics and resource allocation contexts.

Self-correcting deep learning for estimating rice leaf nitrogen concentration with mobile phone images

As a pivotal role in crop development, the application of nitrogen fertilizers enhances yields, while excessive use poses environmental risks. Precision nitrogen management requires rapid crop nitrogen assessment in field conditions and mobile phone images can be a promising approach. However, few studies have investigated how arbitrary white balance and exposure value settings affect crop nitrogen diagnosis using phone photos. Therefore, a new deep learning framework: self-correcting leaf nitrogen concentration estimation network (SCLNC-Net), was proposed to explore the potential of mobile phone images for non-destructive nitrogen status monitoring. Imperfect camera metering and incorrect user operations were addressed through attention U-Net for automatic white balance and exposure correction. Then a lightweight deep learning algorithm MobileNetV3 was utilized to estimate rice leaf nitrogen concentration based on the self-corrected images. Compared with most deep learning models, SCLNC-Net has fewer parameters and higher computational efficiency, which is better suited for deployment on mobile platforms. The results revealed that SCLNC-Net enhanced image quality and acquired high accuracy in the estimation of rice leaf nitrogen concentration (R2 = 0.84, RMSE = 0.39 %, RRMSE = 13 %). Moreover, the robustness and effectiveness of the proposed SCLNC-Net remained excellent across various shooting angles, mobile phone types, and rice varieties. This study provides insights into rapid and cost-efficient nutrient assessment and precision nitrogen management.

Investigation of Dynamic Balance, Limb Asymmetry and Flexibility in Jiu-Jitsu Athletes: A Preliminary Exploratory Study

This preliminary exploratory study is the first to thoroughly examine dynamic balance, inter-limb asymmetry, and flexibility in jiu-jitsu athletes, focusing on differences by fighting style, competition level, gender, and limb dominance. A total of 25 jiu-jitsu fighters participated in this cross-sectional study, which used repeated measures to ensure the reliability of the findings. Participants underwent measurements for limb lengths and were assessed for dynamic balance using the Lower and Upper Quarter Y Balance Test (LQYBT and UQYBT) and for flexibility with the Sit and Reach Test (SR). The analysis included evaluating the reliability of these tests, as well as comparing outcomes based on gender, fighting styles, competition levels, and limb dominance. The results showed that the LQYBT and UQYBT tests were reliable (ICC=0.74–0.93). There were no significant differences in dynamic balance and flexibility between different fighting styles. No significant differences were found in balance tests between the dominant and non-dominant limbs, but there were notable inter-limb asymmetries in certain measures. This study provides preliminary insights for coaches and researchers by offering reference values for balance, flexibility, and inter-limb asymmetry in jiu-jitsu athletes. However, future research with larger sample sizes is needed to better understand the differences among subgroups in this sport.