bluuebunny/crossref_metadata_2025 huggingface dataset:
Unilateral biportal endoscopic vs. open surgery in the treatment of young obese patients’ lumbar degenerative diseases: a retrospective study
Authors: Ma Tao , Li Junyang , Geng Yongcun , Yan Dengming , Jiang Ming , Tu Xiaoshuang , Chen Senlin , Wu Jingwei , Nong Luming
Published: October 2024

Background

Obesity accelerates the development of lumbar disease and increase the risk during surgery. Unilateral biportal endoscopic discectomy (UBE) is a newly developed minimally invasive technique, which refers to the spinal surgery under unilateral double-channel endoscopic surgery. Therefore, the purpose of this study is whether UBE decompression alone can bring good clinical results to young obese patients with lumbar degenerative diseases.

Methods

The patients with lumbar diseases who underwent UBE and open surgery (open discectomy) in our hospital from February 2020 to February 2022 were selected as young (age ≤ 44 years old) and obesity (BMI ≥ 30 kg/m2). The patients were evaluated with VAS, ODI, JOA and modified Macnab score before operation, 1 month, 6 months and 12 months after operation. Nerve root function sensation, muscle strength and tendon reflex were evaluated. The operation time, estimated blood loss, postoperative hospital stay, incidence of postoperative complications and reoperation rate were recorded. MRI quantitative lumbar multifidus muscle (LMM) comparison was performed 12 months after operation.

Results

77 patients were included, and the scores of VAS, ODI and JOA were similar in the two groups during the last follow-up. There were no difference in nerve root function sensation, muscle strength or tendon reflex. However, one month after operation, the VAS back score and ODI improvement in the UBE group were significantly better than those in the open group, which were 2.44 ± 0.97, 33.10 ± 6.78 and 2.93 ± 0.79 and 36.13 ± 5.84, respectively, with a statistically significant difference (p = 0.020 and 0.038). According to the modified Macnab criteria, UBE group, the excellent and good rate was 97.2%. The excellent and good rate of open group was 97.6%. The estimated blood loss and postoperative hospital stay in UBE group (36.81 ± 17.81, 3.92 ± 1.32) were significantly better than those in open group (104.88 ± 31.41, 6.41 ± 1.94), with a statistically significant difference (p = 0.010). There was no significant difference in operation time between the two groups (p = 0.070). The number of complications in UBE group was 2 (5.6%) and open group was 4 (9.8%). The fat infiltration rate of 19.3%+11.0% in UBE group was significantly lower than that of 27.0%±13.9% in open group (p = 0.010).

Conclusion

UBE has the advantage of early recovery in the treatment of lumbar degenerative diseases in young obese patients, and reduces the damage to LMM, so it has a good clinical effect.
Discovery of a blood-based miRNA signature that can predict onset of active tuberculosis among household contacts of TB patients
Authors: Daniel Evangeline Ann , Thiruvengadam Kannan , Chandrasekaran Padmapriyadarsini , Hilda Nancy , Umashankar Pavithra , Prashanthi Pooja , Selvachithiram Murugesan , Pattabiraman Sathyamurthi , Bhanu Brindha , Sivaprakasam Amsaveni , Paradkar Mandar , Kulkarni Vandana , Karyakarte Rajesh , Shivakumar Shri Vijay Bala Yogendra , Mave Vidya , Gupta Amita , Hanna Luke Elizabeth
Published: October 2024

Background

Non-sputum based predictive biomarkers capable of identifying individuals with high risk of progression to active tuberculosis (TB) are critical for global TB control. MicroRNAs (miRNAs) are significant regulators involved in TB pathogenesis and hence we aimed to identify a miRNA signature capable of predicting progression to TB disease.

Methods

We compared the differential miRNA expression profile of QuantiFERON supernatants of TB Progressors, defined as healthy household contacts (HHCs) of TB patients, who developed active TB disease during a 2-year follow-up period, and Non-progressors defined as HHCs from the same longitudinal cohort who did not develop TB disease during the entire follow-up period, using the nanostring nCounter platform. Receiver Operator Characteristic (ROC) analysis was performed to evaluate the diagnostic accuracy of the identified miRNA biomarkers, followed by random forest analysis to determine the best predictive model.

Results

We identified 30 differentially regulated miRNAs between the two groups. Of these, hsa-miR-585-3p and hsa-miR-92a-3p were up-regulated with a maximum fold change of 1.74 and 1.71 respectively, while hsa-miR-223-3p and hsa-miR-451a were down-regulated by −2.05 and −2.04 fold respectively. Random forest analysis revealed that hsa-miR-181a-5p, hsa-miR-204-5p, hsa-miR-197-3p, hsa-miR-92a-3p, hsa-miR-451a, hsa-miR-24-3p, and hsa-miR-487a-3p exhibited 100% accuracy in identifying Progressors. This panel of 7 miRNAs demonstrated excellent diagnostic performance characteristics with 100% sensitivity and specificity.

Conclusion

We propose that the identified miRNA signature has the potential to serve as a very useful tool for early identification of individuals who bear the highest risk of progression to TB, so that they can be targeted for timely intervention.
Morphological and molecular identification of Eimeria rajasthani (coccidia: Eimeriidae) in the dromedary camel (Camelus dromedarius) in Riyadh, Saudi Arabia
Authors: Al-Shaebi Esam M. , Al Quraishy Saleh , Omer Sawsan A. , Abdel-Gaber Rewaida , Mohammed Osama B.
Published: October 2024

Introduction

Coccidiosis is a serious parasitic disease in camels caused by an intestinal protozoan parasite of the genusEimeria, which is linked to significant causes of reduced milk and meat production. In Saudi Arabia, scare literature focused on the coprological investigation of dromedary camels (Camelus dromedarius). To determine the taxonomic status of camel parasite species, we performed morphological characterization of oocysts and genetic analysis (18S rRNAandITS-1gene regions) ofEimeriaspecies collected from camels in Riyadh, Saudi Arabia.

Methods

A total of 150 faecal samples were obtained from camels at the old camel market. These samples were tested for the presence ofEimeriaoocysts using the conventional floatation technique before being sporulated in a 2.5% potassium dichromate solution.Eimeriaoocysts were morphologically and molecularly examined and identified, and the infection rate of parasitic infections was determined.

Results

Our findings revealed that the overall frequency of oocysts was 30%. The identified species wasEimeria rajasthani, which had a typical ellipsoidal oocyst shape. Oocystic polar granule, micropyle, micropylar cap, and oocyst residuum are not visible. Sporocysts are oval with stieda body. Sporocyst residuum contains many granules and sporozoites with refractile bodies and nuclei. Genetic analyses of the sequence data from the partial18S rRNAandITS-1gene regions revealed that the sequences obtained fromE.rajasthanioocysts are related to DNA sequences reported fromE. lamaefrom the Alpaca from China, particularly the18S rRNAsequences.

Conclusion

This study emphasized the need to use molecular phylogenetic tools to describe camel intestinal coccidian parasites with traditional morphology-based approaches to better understand their biology. For camel husbandry and disease control, more studies should be conducted to better understand the epidemiology of these protozoan parasites.
Digitalization in the Legal Sphere of Uzbekistan
Authors: Akhmedshaeva Mavlyuda Akhatovna
Published: October 2024

The article deals with the issues of the inevitability of digitalization processes in all spheres of public and state life, including the legal sphere. It is noted that digitalization in the legal sphere, in particular in judicial activity, has its own specifics, conditioned by the peculiarity of the implementation of justice, ensuring human rights and personal inviolability. The article analyzes the main directions of digitalization of legal activity in Uzbekistan, considers their development in certain sub-areas. The article also emphasizes that the process of digitalization, being quite complex, causes the need to develop digital consciousness and digital culture not only for civil servants, but also for the whole society.
Pressure Drop in a Metal Foam Centrifugal Breather: A Simulation Approach
Authors: Zhang Lifen , Ge Xin , Hu Xinglong , Lyu Yaguo
Published: October 2024

One of the main issues faced in the operation of a metal foam centrifugal breather is the high pressure drop. This study investigates the pressure drop of a metal foam centrifugal breather. The numerical simulation research method is adopted. The DPM model is used to calculate the two-phase flow field of the metal foam breather, and the porous medium model is used to replace the metal foam at the breather. The resistance caused by the metal foam is replaced by a distributed resistance added to the fluid. The effects of flow rate, rotational speed, porosity, PPI (pores per inch), and temperature on the pressure drop of the breather are analyzed. The results indicate that rotational speed, flow rate, porosity, and PPI significantly influence the resistance of the metal foam centrifugal breather. The resistance of the breather is directly proportional to the rotational speed, flow rate, temperature, and metal foam pore density, and inversely proportional to the porosity. Temperature has a minor impact on the resistance of the metal foam centrifugal breather. Therefore, the metal foam centrifugal breather is more suitable for low-speed operating conditions.
A Comparative Analysis of Ethnic Networks and Internationalization of Latin American Agri-SMEs: The Case of Argentina, Brazil, and Chile
Authors: Valdés Rodrigo
Published: October 2024

This paper investigates the key drivers influencing the internationalization of agricultural small and medium-sized enterprises (agri-SMEs) in Latin America, with a particular emphasis on the role of social and ethnic networks. Focusing on Argentina, Brazil, and Chile—three of the region’s largest agricultural economies—this study examines how familial and cultural connections between descendants of European immigrants and European entrepreneurs facilitate the global expansion of agri-SMEs. Using a cross-sectional quantitative analysis, data from agri-SME managers reveal the importance of these networks in reducing market entry barriers by providing insider knowledge of foreign markets, regulatory conditions, and potential business partnerships. The findings demonstrate that ethnic networks significantly reduce market entry barriers, providing Latin American agri-SMEs access to essential insider knowledge on foreign markets and local regulations, thereby facilitating internationalization. Additionally, agri-SMEs that leverage these networks are better positioned to meet growing global demands for sustainable, traceable food products, gaining a competitive advantage in international markets. The strength and frequency of interactions within ethnic networks are positively correlated with the degree of internationalization, highlighting the importance of social capital in overcoming operational challenges. This paper contributes to the literature by highlighting the underexplored role of ethnic networks in shaping the international marketing strategies of agricultural firms and their capacity to adapt to evolving consumer behaviors. The study offers practical insights for supporting the global integration of agri-SMEs in Latin America, addressing both operational challenges and the increasing need for sustainable food production practices.
Optimum Design of Profiled Root–Trimming Device for Pull–Cut Harvester of Leading–Drawing–Cutting Type
Authors: Zhu Zhengbo , Cao Xin , Hu Zhichao , Wu Feng , Gu Fengwei , Yu Zhaoyang
Published: October 2024

In this study, a leading–drawing–cutting–type profiled root–trimming device was designed to address the problems of high impurity and damage rates that occur with the operation of a pull–cut garlic harvester. The main components of the designed device include a pull–clamp mechanism, roll–pulling mechanism, root–trimming knife mechanism, lifter, gearbox, universal drive shaft, motor, and frame that, together, can complete the root–trimming operation for a pull–cut garlic harvester. An orthogonal regression test was carried out by taking the roller diameter, the roller inclination angle, the knife rotation speed, and the working speed as factors and by taking the impurity rate and the damage rate as indices. The results of the orthogonal regression test showed that the impurity rate was most strongly affected by the roller diameter, followed by the knife rotation speed, the working speed, and the roller inclination angle. Meanwhile, the damage rate was most strongly affected by the knife rotation speed, followed by the roller diameter, the working speed, and the roller inclination angle. The regression analysis showed that when the roller diameter was 100 mm, the roller inclination angle was 25°, the knife rotation speed was 200 r·min−1, and the working speed was 1.22 km·h−1, the comprehensive trimming quality reached its maximum value of 97.82%. The verification result of the parallel test gave a value of 97.52%, which was mainly affected by the irregular sizes of the bulbs, but it showed no significant difference from the regression analysis results. The tests verified that the profiled root–trimming device could be applied to develop the technology of garlic pull–cut harvesters.
Development and Evaluation of a Variable-Rate Fertilizer Distribution System for Coffee Plants
Authors: Barros Murilo Machado de , Cunha João Paulo Barreto , Conceição Fagner Goes da , Volpato Carlos Eduardo Silva , Ferraz Gabriel Araújo e Silva , Silva Fabio Moreira da
Published: October 2024

Currently, Brazilian coffee farming seeks the rational use of resources through sustainable practices. As a result, the development of machinery with more efficient input application systems and the adoption of precision agriculture techniques have been yielding excellent results. This study was divided into two stages, with the first involving the adaptation of a solid fertilizer application machine with fixed doses, allowing dose variation using an electronic controller. The second stage consisted of conducting trials and their applications under operational conditions. The results confirmed that the developed system remained stable in terms of variable-rate fertilizer distribution for coffee cultivation. The machine’s lateral fertilizer distribution range met the demands of coffee farming satisfactorily. In field conditions, the developed system exhibited an average error of −2.9%, compared to the programmed doses, validating the accuracy of the machine and its suitability for use in coffee plantations.
Distribution and Pools of Soil Organic Carbon in Chernozemic Soils Impacted by Intensive Farming and Erosion in the Loess Plateau in South-East Poland
Authors: Labaz Beata , Kowalska Joanna Beata , Kabala Cezary , Kobierski Mirosław , Waroszewski Jaroslaw , Dudek Michal , Szopka Katarzyna , Gruszka Dariusz
Published: October 2024

Soil erosion and the loss of soil organic carbon (SOC) pools are considered serious environmental problems in undulating landscapes on loess covers, accompanied in some areas, such as south Poland, by the physical degradation of chernozemic soils. The aim of the present study was to identify the scale and reasons for spatial variation of the SOC pools in the intensely cultivated Luvic Phaeozems in one of the unique patches of chernozemic soils in Poland. This study, carried out in a soil catena located in the undulating Carpathian Foreland in south-east Poland, has demonstrated that the SOC pools can greatly differ on a very small scale, even in relatively less differentiated landscapes and in soils classified into the same group. The scale and reasons for the differentiation of the SOC pools depend on the method (depth) of calculation. The spatial differences were smaller and were mainly related to the SOC concentrations and the bulk density of the topsoil horizons, when calculated for depths of 0–30 cm and 0–50 cm. On the other hand, the SOC pools calculated for the 0–100 cm soil layer differed most significantly between the profiles in the catena, representing a continuous growing trend from the uppermost towards the lowermost part of the catena, and were clearly related to the total thickness of the humus horizon(s). The latter findings confirm that sheet erosion has a major impact on the spatial variation of SOC pools in an agricultural landscape. However, soil morphology and the distribution of SOC across the soil profiles suggest additional influences from historical pedogenesis and modern farming technology. The presence of black, thick and humus-rich chernic horizons in all soils across the catena indicates that modern farming must not degrade the soils, but, on the contrary, it can help in the restoration of even neo-formation of chernozemic soils (Phaeozems), if oriented towards the conservation of humus content, soil structure, and biological activity.
Data-Driven Optimization Method for Recurrent Neural Network Algorithm: Greenhouse Internal Temperature Prediction Model
Authors: Oh Kwang Cheol , Park Sunyong , Kim Seok Jun , Cho La Hoon , Lee Chung Geon , Kim Dae Hyun
Published: October 2024

We developed an internal environment prediction model for smart greenhouses using machine learning models. Machine learning models were developed by finding certain rules based on the data obtained from the target system and have the advantage of learning various characteristics that are difficult to define theoretically. However, the model accuracy and precision can change according to the model structure (hyperparameters, algorithms, epoch) and data characteristics. In this study, the analysis was performed according to the collected weather data characteristics. The model performance was low when the amount of training data was obtained over less than three days (4320 ea). The model performance improved with an increase in the amount of training data. Model performance stabilized when the training data volume exceeded seven days (10,080 ea). The optimal amount of data was determined to be between three and seven days, with an average model r2 of 0.8811 and an RMSE of 2.056 for the gated recurrent unit algorithm. This study verified the possibility of developing a predictive model for the internal environment of a greenhouse based on weather data from outside. This study is limited to a specific target greenhouse, and further analysis of data from various greenhouses and climates is necessary to achieve global optimization.
Hypoxia-Induced Differences in the Expression of Pyruvate Dehydrogenase Kinase 1-Related Factors in the Renal Tissues and Renal Interstitial Fibroblast-like Cells of Yak (Bos Grunniens)
Authors: Zhou Manlin , Wang Jun , Cao Ruirui , Zhang Fan , Luo Xuehui , Liao Yiyuan , Chen Weiji , Ding Haie , Tan Xiao , Qiao Zilin , Yang Kun
Published: October 2024

Hypoxia is one of the factors severely affect renal function, and, in severe cases, it can lead to renal fibrosis. Although much progress has been made in identifying the molecular mediators of fibrosis, the mechanisms that govern renal fibrosis remain unclear, and there have been no effective therapeutic anti-fibrotic strategies to date. Mammals exposed to low oxygen in the plateau environment for a long time are prone to high-altitude disease, while yaks have been living in the plateau for generations do not develop kidney fibrosis caused by low oxygen. It has been suggested that metabolic reprogramming occurs in renal fibrosis and that pyruvate dehydrogenase kinase 1 (PDK1) plays a crucial role in metabolic reprogramming as an important node between glycolysis and the tricarboxylic acid cycle. The aim of this study was to investigate the effects of hypoxia on the renal tissues and renal interstitial fibroblasts of yaks. We found that, at the tissue level, HIF-1α, PDK1, TGF-β1, Smad2, Smad3, and α-SMA were mainly distributed and expressed in tubular epithelial cells but were barely present in the renal mesenchymal fibroblasts of healthy cattle and yak kidneys. Anoptical density analysis showed that in healthy cattle kidneys, TGF-β1, Smad2, and Smad3 expression was significantly higher than in yak kidneys (p < 0.05), and HIF-1α and PDK1 expression was significantly lower than in yak kidneys (p < 0.05). The results at the protein and gene levels showed the same trend. At the cellular level, prolonged hypoxia significantly elevated PDK1 expression in the renal mesangial fibroblasts of cattle and yak kidneys compared with normoxia (p < 0.05) and was proportional to the degree of cellular fibrosis. However, PDK1 expression remained stable in yaks compared with renal interstitial fibroblast-like cells in cattle during the same hypoxic time period. At the same time, prolonged hypoxia also promoted changes in cellular phenotype, promoting the proliferation, activation, glucose consumption, lactate production, and anti-apoptosis in the both of cattle and yaks renal interstitial fibroblasts The differences in kidney structure and expression of PDK1 and HIF-1α in kidney tissue and renal interstitial fibroblasts induced by different oxygen concentrations suggest that there may be a regulatory relationship between yak kidney adaptation and hypoxic environment at high altitude. This provides strong support for the elucidation of the regulatory relationship between PDK1 and HIF-1α, as well as a new direction for the treatment or delay of hypoxic renal fibrosis; additionally, these findings provide a basis for further analysis of the molecular mechanism of hypoxia adaptation-related factors and the adaptation of yaks to plateau hypoxia.
Comparison of Conjugates Obtained Using DMSO and DMF as Solvents in the Production of Polyclonal Antibodies and ELISA Development: A Case Study on Bisphenol A
Authors: Berlina Anna N. , Komova Nadezhda S. , Serebrennikova Kseniya V. , Zherdev Anatoly V. , Dzantiev Boris B.
Published: October 2024

When developing immunochemical test systems, it is necessary to obtain specific antibodies. Their quality depends, among other things, on the immunogen used. When preparing hapten–protein conjugates to obtain antibodies for low-molecular-weight compounds, the key factors are the structure of the hapten itself, the presence of a spacer, the size of the carrier protein and the degree of its modification by hapten molecules. This work shows that one additional factor—the conditions for obtaining the hapten–protein conjugate—is overlooked. In this work, we have synthesized conjugates of bisphenol A derivative 4,4-bis(hydroxyphenyl)valeric acid (BVA), the protein carrier soybean trypsin inhibitor (STI), and bovine serum albumin (BSA) in reaction media combining water with two organic solvents: dimethylformamide (DMF) or dimethyl sulfoxide (DMSO). Namely, BSADMF–BVA, STIDMF–BVA, BSADMSO–BVA and STIDMSO–BVA conjugates were obtained. Rabbit polyclonal antibodies against the BSADMF–BVA conjugate demonstrated basically different interactions in the developed ELISA systems using either STIDMF–BVA or STIDMSO–BVA conjugates. The use of the STIDMF–BVA conjugate demonstrated the absence of competition in combination with antisera obtained from BSADMF–BVA in an ELISA. A competitive interaction was observed only with the use of the STIDMSO–BVA conjugate. Under the selected conditions, the detection limit of bisphenol A was 8.3 ng/mL, and the working range of determined concentrations was 18.5–290.3 ng/mL. The obtained data demonstrate the possibility of achieving sensitive immunoassays by simply varying the reaction media for the hapten–protein conjugation, which could provide an additional tool in the development of immunoassays for other low-molecular-weight compounds.
Patterns of Amphotericin B Use and Factors Related to Mortality in a Low-Middle Income Country: An Observational and Longitudinal Study
Authors: Valladales-Restrepo Luis Fernando , Soto-Romero Lian Manuela , Navarrete-Santa Luis Fernando , Montoya-García Rodrigo , Ríos-Montoya Jaime Andrés , Sabogal-Ortiz Alejandra , Machado-Alba Jorge Enrique
Published: October 2024

Background/Objectives: Amphotericin B is indicated in deep systemic fungal infections. The aim was to determine the sociodemographic, clinical and pharmacological variables of a group of Colombian patients treated with amphotericin B and factors associated with mo rtality. Methods: A longitudinal observational retrospective study on the use of amphotericin B in Colombia was conducted between January 2015 and December 2022. The multivariate analysis sought to identify variables related to mortality. Results: A total of 310 patients were identified, with a median age of 44.0 years, and 71.0% were women. Conventional amphotericin B was the most used (74.8%). The main uses were cryptococcosis (38.7%), histoplasmosis (31.9%) and candidiasis (29.4%). More than a third of patients died during hospitalization (40.3%). An increase in the Charlson Comorbidity Index score (HR: 1.13; 95% CI: 1.05–1.22) and in the qSOFA score (HR: 1.34; 95% CI: 1.04–1.73), coinfection by Mycobacterium tuberculosis (HR: 2.09; 95% CI: 1.32–3.31) and the requirement of vasopressors (HR: 4.20; 95% CI: 2.16–8.15) or invasive mechanical ventilation (HR: 2.73; 95% CI: 1.40–5.33) increased the probability of in-hospital death. In contrast, those who received systemic corticosteroids (HR: 0.43; 95% CI: 0.26–0.70) had a lower risk. Conventional amphotericin B is the most used drug mainly treating Cryptococcus neoformans infections. Conclusions: The use of amphotericin B was consistent with clinical practice guideline recommendations. In-hospital mortality was common, and factors such as increased comorbidities, higher qSOFA scores, coinfection with Mycobacterium tuberculosis and invasive procedures like mechanical ventilation were linked to increased mortality.
Oxidative Stress in Genetic Cataract Formation
Authors: Hejtmancik James Fielding
Published: October 2024

Background: Cataracts are the leading cause of blindness worldwide, and age-related cataracts are the result of environmental insults that largely lead to oxidative stress imposed on a genetic background that determines susceptibility to these stresses. Methods: A comprehensive literature review was performed to identify GWAS, targeted association studies, and TWAS that identified genes associated with age-related cataract. Additional genes associated with age-related cataracts were identified through the CAT-MAP online database. Pathway analysis was performed using Qiagen Ingenuity Pathway Analysis and pathways related to oxidative stress were analyzed using the same program. Results: A large number of genes have been identified as causes of both Mendelian and complex cataracts. Of these, 10 genes related to oxidative stress were identified, and all were associated with age-related cataracts. These genes fall into seven canonical pathways primarily related to glutathione metabolism and other pathways related to detoxifying reactive oxygen species. Conclusions: While a relatively small number of antioxidant related genes were identified as being associated with cataracts, they allow the identification of redox pathways important for lens metabolism and homeostasis. These are largely related to glutathione and its metabolism, other pathways for detoxification of reactive oxygen species, and the transcriptional systems that control their expression.
Potential Antioxidant Compounds from the Spores of Dicranopteris linearis and the Branches of Averrhoa bilimbi
Authors: Duong Thuc-Huy , Tran Thi-Minh-Dinh , To Phuong-Mai , Phan Nguyen-Hong-Nhi , Nguyen Thi-Phuong , Le Huong Thuy , Sichaem Jirapast
Published: October 2024

This study focused on bio-guided isolation based on antioxidant activities from Dicranopteris linearis spores and Averrhoa bilimbi branches. The total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activities of the extracts were determined. For D. linearis spores, the ethyl acetate (EA) extract exhibited the highest TPC (120.13 ± 0.04 mg GAE/g) and TFC (21.94 ± 0.30 mg QE/g), along with strong DPPH antioxidant activity (96.3 ± 0.3% inhibition, IC50 of 39.4 ± 0.3 µg/mL). For A. bilimbi branches, the n-hexane–ethyl acetate (HEA) extract showed the highest TPC (165.21 ± 0.24 mg GAE/g) and TFC (26.20 ± 0.01 mg QE/g), with significant DPPH antioxidant activity (89.6 ± 0.7% inhibition, IC50 of 39.7 ± 1.9 µg/mL). Phytochemical investigation led to the identification of ten compounds (D1–D10) from D. linearis spores and twelve compounds (A1–A12) from A. bilimbi branches. Notably, compound A1 was identified as a new natural compound. The chemical structures were elucidated through NMR spectroscopy and comparison with existing literature. The antioxidant activities of selected compounds (D3–D5, D8–D10, and A1–A11) were evaluated using DPPH and ABTS free radical scavenging assays. Among them, compound A3 exhibited the strongest antioxidant activities (IC50 of 7.1 ± 0.1 µg/mL for DPPH and 14.8 ± 0.1 for ABTS, respectively). The results of this study highlight the potential of D. linearis and A. bilimbi for use in natural product-based antioxidant applications.
Flowering Index Intelligent Detection of Spray Rose Cut Flowers Using an Improved YOLOv5s Model
Authors: Li Junyan , Li Ming
Published: October 2024

Addressing the current reliance on manual sorting and grading of spray rose cut flowers, this paper proposed an improved YOLOv5s model for intelligent recognition and grading detection of rose color series and flowering index of spray rose cut flowers. By incorporating small-scale anchor boxes and small object feature output, the model enhanced the annotation accuracy and the detection precision for occluded rose flowers. Additionally, a convolutional block attention module attention mechanism was integrated into the original network structure to improve the model’s feature extraction capability. The WIoU loss function was employed in place of the original CIoU loss function to increase the precision of the model’s post-detection processing. Test results indicated that for two types of spray rose cut flowers, Orange Bubbles and Yellow Bubbles, the improved YOLOv5s model achieved an accuracy and recall improvement of 10.2% and 20.0%, respectively. For randomly collected images of spray rose bouquets, the model maintained a detection accuracy of 95% at a confidence threshold of 0.8.
The Risk of Using Cosmetics and Cosmetic Procedures During Pregnancy
Authors: Biskanaki Foteini , Tertipi Niki , Andreou Eleni , Sfyri Eleni , Kefala Vasiliki , Rallis Efstathios
Published: October 2024

This review aimed to identify the risks of cosmetics during the sensitive period of pregnancy. Pregnancy causes many hormonal changes and skin issues, such as red stretch marks, cellulite, and more. These aesthetic concerns can impact both the appearance and health of the pregnant woman. Cosmetics and aesthetic treatments can help improve these problems and positively affect the mental well-being of these women. However, the lack of clinical trials regarding the safety of such treatments during pregnancy has led to the recommendation of only the mildest aesthetic applications. Additionally, professional aestheticians and dermatologists who provide cosmetics and other aesthetic treatments (e.g., laser, radiofrequency (RF), ultrasound) during pregnancy face challenging and sometimes adverse working conditions. They should be treated with respect for their situation, with careful consideration of all the peculiarities associated with pregnancy. Further research and additional recorded data are crucial for better understanding the use of cosmetics and aesthetic treatments during pregnancy.
Evaluating Usability and Accessibility of Visual Programming Tools for Novice Programmers—The Case of App Inventor, Scratch, and StarLogo
Authors: Żyła Kamil , Chwaleba Kinga , Choma Dominik
Published: October 2024

The current state of the labor market requires modern engineers to acquire programming skills at different levels of advancement and to apply them in multidisciplinary environments. Not all modern engineers will become fully fledged programmers, but sometimes the possibility to use low-code programming environments like LabView or MIT App Inventor will be sufficient. In order to give good foundations for adulthood, schools use elements of visual programming, e.g., Scratch or StarLogo, to enhance the critical and algorithmic thinking of future engineers. This article attempts to answer the question of whether anyone cares about following general accessibility and usability guidelines in the case of solutions like Scratch, App Inventor, and StarLogo. Another goal is to show a set of tools that is successful in such an assessment. The authors used Nielsen’s heuristics, followed by analyzing WAVE output and Web Content Accessibility Guidelines compliance. Especially, the last one provides insights usually omitted when evaluating low-code environments. It was found that Scratch and App Inventor are leading solutions in terms of look and feel, functionality, documentation, interface navigation, and memorization. The StarLogo interface, on the other hand, is less friendly in terms of aesthetics and functionality.
Enhanced Speech Emotion Recognition Using Conditional-DCGAN-Based Data Augmentation
Authors: Roh Kyung-Min , Lee Seok-Pil
Published: October 2024

With the advancement of Artificial Intelligence (AI) and the Internet of Things (IoT), research in the field of emotion detection and recognition has been actively conducted worldwide in modern society. Among this research, speech emotion recognition has gained increasing importance in various areas of application such as personalized services, enhanced security, and the medical field. However, subjective emotional expressions in voice data can be perceived differently by individuals, and issues such as data imbalance and limited datasets fail to provide the diverse situations necessary for model training, thus limiting performance. To overcome these challenges, this paper proposes a novel data augmentation technique using Conditional-DCGAN, which combines CGAN and DCGAN. This study analyzes the temporal signal changes using Mel-spectrograms extracted from the Emo-DB dataset and applies a loss function calculation method borrowed from reinforcement learning to generate data that accurately reflects emotional characteristics. To validate the proposed method, experiments were conducted using a model combining CNN and Bi-LSTM. The results, including augmented data, achieved significant performance improvements, reaching WA 91.46% and UAR 91.61%, compared to using only the original data (WA 79.31%, UAR 78.16%). These results outperform similar previous studies, such as those reporting WA 84.49% and UAR 83.33%, demonstrating the positive effects of the proposed data augmentation technique. This study presents a new data augmentation method that enables effective learning even in situations with limited data, offering a progressive direction for research in speech emotion recognition.
Radiocarbon Dating of Magnesian Mortars: The Case of San Salvatore Church in Massino Visconti, Piedmont, Italy
Authors: Ricci Giulia , Secco Michele , Marzaioli Fabio , Passariello Isabella , Terrasi Filippo , Artioli Gilberto
Published: October 2024

This study presents a comprehensive analysis and radiocarbon dating of historical mortar and plaster samples from the San Salvatore—Massino Visconti complex in Piedmont, Northern Italy. Mortar samples and one charcoal sample were collected from various areas within the complex’s lower chapels. Samples were selected and characterized by means of a multi-analytical approach in order to draw inferences about their compositional, mineralogical, and microstructural features. The identification of hydromagnesite and magnesite in the mortar samples suggests the usage of magnesian binder mortar, potentially affecting radiocarbon dating due to its slower carbonation kinetics when compared to calcitic mortars. To mitigate this effect, a purification method was developed involving thermal treatment at 550 °C to isolate datable binding fractions. The results yielded reliable radiocarbon ages consistent with historical context, shedding light on construction materials dating from the 12th to 16th centuries. The study also challenges previous notions by demonstrating the feasibility of radiocarbon dating for magnesian mortars, opening new perspectives for dating such materials. These findings offer valuable insights into the construction history and material composition of the complex, corroborating historical information.
Early Fault Detection and Operator-Based MIMO Fault-Tolerant Temperature Control of Microreactor
Authors: Morita Yuma , Deng Mingcong
Published: October 2024

A microreactor is a chemical reaction device that mixes liquids in a very narrow channel and continuously generates reactions. They are attracting attention as next-generation chemical reaction devices because of their ability to achieve small-scale and highly efficient reactions compared to the conventional badge method. However, the challenge is to design a control system that is tolerant of faults in some of the enormous number of sensors in order to achieve parallel production by numbering up. In a previous study, a simultaneous control system for two different temperatures was proposed in an experimental system that imitated the microreactor cooled by Peltier devices. In addition, a fault-tolerant control system for one area has also been proposed. However, the fault-tolerant control system could not be applied to the control system of two temperatures in the previous study. In this paper, we extend it to a two-input, two-output fault-tolerant control system. We also use a fault detection system that combines ChangeFinder, a time-series data analysis method, and One-Class SVM, an unsupervised learning method. Finally, the effectiveness of the proposed method is confirmed by experiments.
Enhancing Industrial Valve Diagnostics: Comparison of Two Preprocessing Methods on the Performance of a Stiction Detection Method Using an Artificial Neural Network
Authors: Navada Bhagya Rajesh , Sravani Vemulapalli , Venkata Santhosh Krishnan
Published: October 2024

The detection and mitigation of stiction are crucial for maintaining control system performance. This paper proposes the comparison of two preprocessing methods for detecting stiction in control valves via pattern recognition via an artificial neural network (ANN). This method utilizes process variables (PVs) and controller outputs (OPs) to accurately identify stiction within control loops. The ANN was comprehensively trained using data from a data-driven model after processing them. Validation and testing were conducted with real industrial data from the International Stiction Database (ISDB), ensuring a practical assessment framework. This study evaluated the impact of two preprocessing methods on fault detection accuracy, namely, the D-value and principal component analysis (PCA) methods, where the D-value method achieved a commendable overall accuracy of 76%, with 86% precision in stiction prediction and a 66% success rate in nonstiction scenarios. This signifies that feature reduction leads to a degraded stiction detection. The data-driven model was implemented in SIMULINK, and the ANN was trained in MATLAB with the Pattern Recognition Toolbox. These promising results highlight the method’s reliability in diagnosing stiction in industrial settings. Integrating this technique into existing control systems is expected to enhance maintenance protocols, reduce operational downtime, and improve efficiency. Future research should aim to expand this method’s applicability to a wider range of control systems and operational conditions, further solidifying its industrial value.
Temperature and Precipitation Synergistically Affect Yield, Harvesting Time and Post-Processing Quality of Tropical Macadamia Nuts
Authors: Li Yifan , Zhao Hong , Zhong Tao , Wu Haibing , Peng Wenhong , Li Ziqiang , Huang Weirong , Huang Shuaifeng , Shi Bing , Li Yu
Published: October 2024

In response to climate change challenges and to ensure stable macadamia nut production, this study analyzed empirical data on macadamia nut yield, climate factors, harvesting time, and post-processing quality from 2020 to 2022. Key findings include: (1) During the flowering to fruit growth stage, 2020 had the highest average temperature, followed by 2021, and then 2022. Conversely, 2022 had the highest precipitation, followed by 2021, and then 2020. (2) Lower temperatures and higher precipitation during the flowering to fruit growth stage contributed to a significant increase in macadamia nut yield, which indirectly extended the harvesting time. In 2022, the average yield of the eight macadamia growers was 8.04 t ha−1, significantly higher than the yields of 6.60 t ha−1 and 6.16 t ha−1 in 2021 and 2020, respectively. Furthermore, the average harvesting time for the eight macadamia growers in 2022 was 8.88 days longer than that in 2021, and 12.50 days longer than that in 2020. (3) Temperature and precipitation had a significant impact on the post-processing quality of macadamia nuts. Lower temperature and higher precipitation during the flowering to fruit growth stage significantly increased the proportion of first-grade fruit, as well as the incidence of mildewed and insect-infested fruits. In conclusion, although a lower temperature and higher precipitation can improve macadamia nut yield, they also lead to delayed harvesting and decreased post-processing quality. Given the observed yield sensitivity to temperature and precipitation, targeted water supplementation strategies during peak heat periods emerge as vital. This approach should be integrated with broader climate resilience planning, including the timing of pest control and disease management, to safeguard macadamia nut production against the multifaceted challenges posed by climate change.
Capacity Constraint Analysis Using Object Detection for Smart Manufacturing
Authors: Ahmad Hafiz Mughees , Rahimi Afshin , Hayat Khizer
Published: October 2024

The increasing adoption of Deep Learning (DL)-based Object Detection (OD) models in smart manufacturing has opened up new avenues for optimizing production processes. Traditional industries facing capacity constraints require noninvasive methods for in-depth operations analysis to optimize processes and increase revenue. In this study, we propose a novel framework for capacity constraint analysis that identifies bottlenecks in production facilities and conducts cycle time studies using an end-to-end pipeline. This pipeline employs a Convolutional Neural Network (CNN)-based OD model to accurately identify potential objects on the production floor, followed by a CNN-based tracker to monitor their lifecycle in each workstation. The extracted metadata are further processed through the proposed framework. Our analysis of a real-world manufacturing facility over six months revealed that the bottleneck station operated at only 73.1% productivity, falling to less than 40% on certain days; additionally, the processing time of each item increased by 53% during certain weeks due to critical labor and materials shortages. These findings highlight significant opportunities for process optimization and efficiency improvements. The proposed pipeline can be extended to other production facilities where manual labor is used to assemble parts, and can be used to analyze and manage labor and materials over time as well as to conduct audits and improve overall yields, potentially transforming capacity management in smart manufacturing environments.
A Comprehensive Review of MI-HFE and IPHFE Cryptosystems: Advances in Internal Perturbations for Post-Quantum Security
Authors: Wang Yong , Li Lingyue , Zhou Ying , Zhang Huili
Published: October 2024

The RSA cryptosystem has been a cornerstone of modern public key infrastructure; however, recent advancements in quantum computing and theoretical mathematics pose significant risks to its security. The advent of fully operational quantum computers could enable the execution of Shor’s algorithm, which efficiently factors large integers and undermines the security of RSA and other cryptographic systems reliant on discrete logarithms. While Grover’s algorithm presents a comparatively lesser threat to symmetric encryption, it still accelerates key search processes, creating potential vulnerabilities. In light of these challenges, there has been an intensified focus on developing quantum-resistant cryptography. Current research is exploring cryptographic techniques based on error-correcting codes, lattice structures, and multivariate public key systems, all of which leverage the complexity of NP-hard problems, such as solving multivariate quadratic equations, to ensure security in a post-quantum landscape. This paper reviews the latest advancements in quantum-resistant encryption methods, with particular attention to the development of robust trapdoor functions. It also provides a detailed analysis of prominent multivariate cryptosystems, including the Matsumoto–Imai, Oil and Vinegar, and Polly Cracker schemes, alongside recent progress in lattice-based systems such as Kyber and Crystals-DILITHIUM, which are currently under evaluation by NIST for potential standardization. As the capabilities of quantum computing continue to expand, the need for innovative cryptographic solutions to secure digital communications becomes increasingly critical.
Synthesis Methods of Si/C Composite Materials for Lithium-Ion Batteries
Authors: Park Inkyu , Lee Hanbyeol , Chae Oh B.
Published: October 2024

Silicon anodes present a high theoretical capacity of 4200 mAh/g, positioning them as strong contenders for improving the performance of lithium-ion batteries. Despite their potential, the practical application of Si anodes is constrained by their significant volumetric expansion (up to 400%) during lithiation/delithiation, which leads to mechanical degradation and loss of electrical contact. This issue contributes to poor cycling stability and hinders their commercial viability, and various silicon–carbon composite fabrication methods have been explored to mitigate these challenges. This review covers key techniques, including ball milling, spray drying, pyrolysis, chemical vapor deposition (CVD), and mechanofusion. Each method has unique benefits; ball milling and spray drying are effective for creating homogeneous composites, whereas pyrolysis and CVD offer high-quality coatings that enhance the mechanical stability of silicon anodes. Mechanofusion has been highlighted for its ability to integrate silicon with carbon materials, showing the potential for further optimization. In light of these advancements, future research should focus on refining these techniques to enhance the stability and performance of Si-based anodes. The optimization of the compounding process has the potential to enhance the performance of silicon anodes by addressing the significant volume change and low conductivity, while simultaneously addressing cost-related concerns.