bluuebunny/crossref_metadata_2025 huggingface dataset:
The Gypsum Influence on the Formation of Secondary Phases During Autoclave Leaching of Gold-Bearing Concentrates and the Silver Recovery Using Cyanidation
Authors: Karimov Kirill , Rogozhnikov Denis , Fomenko Ilia , Zavalyuev Alexander , Tretiak Maksim , Dizer Oleg
Published: October 2024

Autoclave leaching of sulfide concentrates may produce various ferric secondary phases, depending on the arsenic content and temperature. Silver is converted to argentojarosite, from which it is not recoverable by standard cyanidation methods. To increase silver recovery, it is necessary to reduce the argentojarosite formation during autoclave leaching. This study was devoted to the influence of gypsum on the formation of secondary phases of ferric arsenate and the subsequent recovery of gold and silver by cyanidation. The addition of gypsum at a consumption of 0.1 g/g(concentrate) helped to increase silver extraction from 13.4 to 98% at cyanidation. Gold recovery was 99%. An increase in gypsum consumption contributed to the ferric arsenate sulfate formation with an increased sulfate sulfur content, and a decrease in the As/S(sulfate) molar ratio in the cake from 3.7 to 0.88 contributed to an increase in silver extraction at cyanidation of up to 98%. Basic ferric sulfate is not formed in this case, since according to EDS mapping, the distribution of arsenic and sulfur over ferric-containing particles is uniform. According to TCLP, stable, sparingly soluble ferric arsenate phases are formed and the cake obtained after cyanidation is stable and suitable for disposal, since the final arsenic concentration in the solution was 0.45 mg/dm3.
Investigation of Scaling and Materials’ Performance in Simulated Geothermal Brine
Authors: Martelo David , Holmes Briony , Kale Namrata , Scott Samuel Warren , Paul Shiladitya
Published: October 2024

Geothermal energy generation faces challenges in efficiency, partly due to restrictions on reinjection temperatures caused by scaling issues. Therefore, developing strategies to prevent scaling is critical. This study aims to simulate the scaling tendencies and corrosion effects of geothermal fluids on various construction materials used in scaling reactor/retention tank systems. A range of materials, including carbon steel, austenitic stainless steel, duplex stainless steel, two proprietary two-part epoxy coatings, and thermally sprayed aluminium (TSA), were tested in a simulated geothermal brine. Experiments were conducted in a laboratory vessel designed to replicate the wall shear stress conditions expected in a scaling reactor. The tests revealed varying scaling tendencies among the materials, with minimal corrosion observed. The dominant scale formed was calcium carbonate, consistent with geochemical modelling. The findings suggest that despite the high operating temperatures, the risk of corrosion remains low due to the brine’s low chloride content, while the wettability of materials after immersion may serve as a useful indicator for selecting those that promote scaling.
A Force Control Method Integrating Human Skills for Complex Surface Finishing
Authors: Min Kang , Ni Fenglei , Chen Zhaoyang , Liu Hong
Published: October 2024

Force control is one of the core modules for surface finishing such as grinding, polishing and sanding. However, the current force control methods based on human skills lack in-depth analysis of data patterns or are only applicable to flat surfaces. In addition, surface finishing is mainly performed by hand, resulting in low processing efficiency and poor product consistency. Therefore, this paper proposes a force control method that incorporates human skills to achieve relatively accurate force skill transfer and complex surface finishing. Firstly, human skills consisting of the force skill and the motion skill are learned. The force skill is used to generate the desired force. Then, a series of discrete poses are obtained based on human demonstration and combined with the motion skill to generate the desired trajectory. Finally, a computed-torque impedance control method is proposed to achieve relatively accurate force skill transfer and complex surface finishing by incorporating the desired trajectory and the desired force. The experiments are conducted on a platform composed of a 7-DOF collaborative robot manipulator from Franka Emika and a complex violin surface. The results demonstrate that the proposed force control method can achieve relatively accurate force skill transfer and improve the surface quality of the workpiece.
Twistor and Reflector Spaces for Paraquaternionic Contact Manifolds
Authors: Ivanov Stefan , Minchev Ivan , Tchomakova Marina
Published: October 2024

We consider certain fiber bundles over paraquaternionic contact manifolds, called twistor and reflector spaces. We show that the twistor space carries an integrable CR structure (Cauchy–Riemann structure) and the reflector space is an integrable para-CR structure, both with neutral signatures.
Model for Predicting Maize Crop Yield on Small Farms Using Clusterwise Linear Regression and GRASP
Authors: Morán-Figueroa Germán-Homero , Muñoz-Pérez Darwin-Fabián , Rivera-Ibarra José-Luis , Cobos-Lozada Carlos-Alberto
Published: October 2024

Planting a crop involves several key steps: resource assessment, crop selection, crop rotation, planting schedules, soil preparation, planting, care, and harvesting of crops. In this context, estimating the productivity of a crop based on available information, such as expected climatic conditions and agricultural practices, helps farmers reduce the uncertainty of their investment. In Colombia, maize is the fourth most important crop in the country. Significant efforts are required to improve productivity in traditional and technified production systems. In this sense, this research proposes and evaluates an approach called Clusterwise Linear Regression (CLR) to predict the crop maize yield in small farms, considering data on climate, soil, fertilization, and management practices, among others. To develop the CLR model, we conducted the following steps: data collection and preparation, clustering using k-means, cluster optimization with Greedy Random Adaptive Search Procedure (GRASP), and performance evaluation. The cluster optimization process allows the identification of clusters with similar characteristics and generates multiple linear regression models with mixed variables that explain the yield of the farms on each cluster. The Simulated Multiple Start Annealing (MSSA) metaheuristics were also evaluated, but the results of GRASP were the best. The results indicate that the proposed CLR approach is more effective than the linear and nonlinear algorithms mentioned in the literature, such as multiple lasso linear regression, random forests, XGBoost, and support vector machines. These algorithms achieved an accuracy of 70%. However, with the new CLR model, a significantly improved accuracy of 87% was achieved with test data. The clusters’ studies revealed key factors affecting crop yield, such as fertilization, drainage, and soil type. This transparency is a benefit over black-box models, which can be harder to interpret. This advancement can allow farmers to make better decisions about the management of their crops.
Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties
Authors: Alegría Fredi , Martínez Eladio , Cortés-García Claudia , Estrada Quirino , Blanco-Ortega Andrés , Ponce-Silva Mario
Published: October 2024

In the field of structural damage detection through vibration measurements, most existing methods demand extensive data collection, including vibration readings at multiple levels, strain data, temperature measurements, and numerous vibration modes. These requirements result in high costs and complex instrumentation processes. Additionally, many approaches fail to account for model uncertainties, leading to significant discrepancies between the actual structure and its numerical reference model, thus compromising the accuracy of damage identification. This study introduces an innovative computational method aimed at minimizing data requirements, reducing instrumentation costs, and functioning with fewer vibration modes. By utilizing information from a single vibration sensor and at least three vibration modes, the method avoids the need for higher-mode excitation, which typically demands specialized equipment. The approach also incorporates model uncertainties related to geometry and mass distribution, improving the accuracy of damage detection. The computational method was validated on a steel frame structure under various damage conditions, categorized as single or multiple damage. The results indicate up to 100% accuracy in locating damage and up to 80% accuracy in estimating its severity. These findings demonstrate the method’s potential for detecting structural damage with limited data and at a significantly lower cost compared to conventional techniques.
Dynamics of Some Perturbed Morse-Type Oscillators: Simulations and Applications
Authors: Kyurkchiev Nikolay , Zaevski Tsvetelin , Iliev Anton , Branzov Todor , Kyurkchiev Vesselin , Rahnev Asen
Published: October 2024

The purpose of this paper is to investigate some Morse-type oscillators. In its original form, it is a model for describing the vibrations of a diatomic molecule. The Morse potential generalizes the harmonic oscillator by introducing deviations from the classical theoretical model. In the present study, we perturbed the Morse differential equation by several periodic terms based on the cosine function and by a damping term. The frequency is driven by different coefficients. The size of the deviations is controlled by another constant. We provide two modifications w.r.t. the damping term. The Melnikov approach is applied as an indicator of the possible chaotic opportunities. We also propose a novel approach for stochastic control of the perturbations. It is based on the assumption that the coefficients of the periodic terms are the probabilities of underlying distribution. As a result, the dynamics are driven by its characteristic function. Several applications are considered. We demonstrate some specialized modules for investigating the dynamics of the proposed models, along with the synthesis of radiating antenna patterns.
An Adaptive Data Rate Algorithm for Power-Constrained End Devices in Long Range Networks
Authors: Wang Honggang , Zhao Baorui , Liu Xiaolei , Pan Ruoyu , Pang Shengli , Song Jiwei
Published: October 2024

LoRa (long range) is a communication technology that employs chirp spread spectrum modulation. Among various low-power wide area network (LPWAN) technologies, LoRa offers unique advantages, including low power consumption, long transmission distance, strong anti-interference capability, and high network capacity. Addressing the issue of power-constrained end devices in IoT application scenarios, this paper proposes an adaptive data rate (ADR) algorithm for LoRa networks designed for power-constrained end devices (EDs). The algorithm evaluates the uplink communication link state between the EDs and the gateway (GW) by using a combined weighting method to comprehensively assess the signal-to-noise ratio (SNR), received signal strength indication (RSSI), and packet reception rate (PRR), and calculates a list of transmission power and data rates that ensure stable and reliable communication between the EDs and the GW. By using ED power consumption models, network throughput models, and ED latency models to evaluate network performance, the Zebra optimization algorithm is employed to find the optimal data rate for each ED under power-constrained conditions while maximizing network performance. Test results show that, in a single ED scenario, the average PRR achieved by the proposed ADR algorithm for power-constrained EDs in LoRa networks is 14% higher than that of the standard LoRaWAN ADR algorithm. In a multi-ED link scenario (50 end devices), the proposed method reduces the average power consumption of EDs by 10% compared to LoRaWAN ADR, achieves a network throughput of 6683 bps, and an average latency of 2.10 s, demonstrating superior performance overall. The proposed method shows unique advantages in LoRa networks with power-constrained EDs and a large number of EDs, as it not only reduces the average power consumption of the EDs but also optimizes network throughput and average latency.
Enhancing Distribution Efficiency Through OTIF Performance Evaluation
Authors: Tian Zhao , Pajić Vukašin , Kilibarda Milorad , Andrejić Milan
Published: October 2024

Today’s market with more frequent but smaller deliveries complicates the realization of logistics processes and activities. Customers expect products within 24 h or 48 h. This poses a logistics challenge for companies in fulfilling the expected time window. In these situations, companies can either perform self-distribution or they can outsource it. When outsourcing, companies must define key performance indicators (KPIs) to measure the efficiency of the distribution process. One such KPI is On-Time In-Full (OTIF). OTIF fulfillment is increasingly becoming a fundamental requirement not only in distribution but also throughout the entire supply chain. Two essential prerequisites for successful outsourcing collaboration are ensuring that orders are delivered on time and in full. A review of the existing literature revealed that no studies simultaneously address this complex issue. This was exactly the main motive for developing a model that simultaneously takes into account the utilization of logistics resources on one hand, and OTIF on the other when calculating the efficiency. The model developed in this paper was tested on the data of a company operating in the Serbian market. The results showed that seven of the company’s warehouses are inefficient. A two-stage matrix analysis with the three most important indicators (operational efficiency, on-time delivery, and in-full delivery) was performed based on the obtained results. Other than the obvious scientific contributions, the proposed model can help companies increase their resource utilization efficiency as well as OTIF fulfillment.
Sliding Mode Fault-Tolerant Control for Nonlinear LPV Systems with Variable Time-Delay
Authors: Mansouri Omayma , Ben Brahim Ali , Ben Hmida Fayçal , Sellami Anis
Published: October 2024

This paper presents a robust sliding mode fault-tolerant control (FTC) strategy for a class of linear parameter variant (LPV) systems with variable time-delays and uncertainties. First fault estimation (FE) is conducted using a robust sliding mode observer, synthesized to simultaneously estimate the states and actuator faults of LPV polytopic delayed systems. Second, a sliding mode FTC is developed, ensuring all states of the closed-loop system converge to the origin. This paper presents an integrated sliding mode FTC strategy to achieve optimal robustness between the observer and controller models. The integrated design approach offers several advantages over traditional separated FTC methods. Our novel approach is based on incorporating adaptive law into the design of the Lyapunov–Krasovskii functional to improve both robustness and performance. This is achieved by combining the concept of sliding mode control (SMC) with the Lyapunov–Krasovskii function under the H∞ criteria, which plays a key role in guaranteeing the stability of this class of system. The effectiveness of the proposed method is demonstrated through a diesel engine example, which highlights the validity and benefits of the integrated and separated FTC strategy for uncertain nonlinear systems with time delays and the sliding mode control.
The Influence of GLP1 on Body Weight and Glycemic Management in Patients with Diabetes—A Scientometric Investigation and Visualization Study
Authors: Pantea Ileana , Repanovici Angela , Andreescu Oana
Published: October 2024

Diabetes medications can affect weight and cardiovascular health. Some medications can aid in weight management, while others may lead to weight gain. Patients must be monitored and receive appropriate care to manage weight and prevent cardiovascular complications. Despite advancements in diabetes treatments that can influence weight and cardiovascular outcomes, ongoing research is necessary in this intricate field. Long-term effects, individual variations, and combination therapies are still subjects of uncertainty and ongoing investigation. The major objective of the research is to evaluate the impact of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) on body weight in diabetic patients through a scientometric assessment. Methodology: Research data were gathered from the Web of Science Core Collection (WoSCC) database by searching for the keywords “Body Weight”, dulaglutide, and semaglutide, identifying 60 relevant articles in the field. While there are advantages in managing diseases in which the cardiovascular system is implicated, there are also clinical considerations for personalized medicine and shared decision-making. The scientometric analysis of the articles revealed important insights into how dulaglutide and semaglutide impact weight management and their potential benefits for managing cardiovascular diseases in individuals with diabetes. Conclusions: Semaglutide shows superior outcomes compared to other commercially available GLP-1RAs, particularly in improving blood sugar control, lowering body weight, and addressing other cardio-metabolic risk factors in individuals with type 2 diabetes (T2DM). The findings suggest that GLP-1 RAs have the potential to provide cardiovascular protection by influencing various physiological factors such as blood pressure, pulse rate, glycated hemoglobin (HbA1c) levels, and the urinary albumin-to-creatinine ratio (RAC). The development and validation of the 4GI model provides a sophisticated tool for evaluating the complex interactions involved in diabetes treatments, offering insights into the mechanisms of action of various medications.
Preoperative Briganti Nomogram Score and Risk of Prostate Cancer Progression After Robotic Surgery Beyond EAU Risk Categories
Authors: Porcaro Antonio Benito , Orlando Rossella , Panunzio Andrea , Tafuri Alessandro , Baielli Alberto , Artoni Francesco , Brancelli Claudio , Roggero Luca , Costantino Sonia , Franceschini Andrea , Boldini Michele , Treccani Lorenzo Pierangelo , Montanaro Francesca , Gallina Sebastian , Bianchi Alberto , Serafin Emanuele , Mazzucato Giovanni , Ditonno Francesco , Finocchiaro Mariana , Veccia Alessandro , Rizzetto Riccardo , Brunelli Matteo , De Marco Vincenzo , Siracusano Salvatore , Cerruto Maria Angela , Bertolo Riccardo , Antonelli Alessandro
Published: October 2024

Background and Objectives: We sought to investigate whether the 2012 Briganti nomogram may represent a potential prognostic factor of prostate cancer (PCa) progression after surgical treatment beyond European Association of Urology (EAU) risk categories. Materials and Methods: From January 2013 to December 2021, data on PCa patients treated with robot-assisted radical prostatectomy at a single tertiary referral center were extracted. The 2012 version of the Briganti nomogram assessing the risk of pelvic lymph node invasion was used. Here, the nomogram score was evaluated both as a continuous and a categorical variable. The association between variables and disease progression after surgery was evaluated through Cox regression models. Results: Overall, 1047 patients were identified. According to the EAU classification system, 297 (28.4%) patients were low-risk, 527 (50.3%) intermediate-risk, and 223 (21.3%) high-risk. The median (interquartile range) 2012 Briganti nomogram score within the investigated population was 3% (2–8%). Median (95% Confidence Interval [CI]) follow-up was 95 (91.9–112.4) months. Disease progression occurred in 237 (22.6%) patients, who were more likely to have an increasing 2012 Briganti nomogram score (Hazard Ratio [HR]: 1.03; 95%CI: 1.01–1.81; p = 0.015), independently of unfavorable issues at clinical presentation. Moreover, the nomogram score stratified according to tertiles (<3% vs. 3–8% vs. ≥8%) hold significance beyond EAU risk categories: accordingly, the risk of disease progression increased as the score increased from the first (reference) to the second (HR: 1.50; 95%CI: 1.67–3.72; p < 0.001) up to the third (HR: 3.26; 95%CI: 2.26–4.72; p < 0.001) tertile. Conclusions: Beyond EAU risk categories, the 2012 Briganti nomogram represented an independent predictor of PCa progression after surgery. Likewise, as the nomogram score increased so patients were more likely to experience disease progression. Accordingly, it may allow further stratification of patients within each risk category to modulate appropriate treatment paradigms.
C-Reactive Protein-to-Serum Chloride Ratio: A Novel Marker of All-Cause Mortality in Maintenance Haemodialysis Patients
Authors: Valga Francisco , Monzón Tania , De la Flor José C. , Santana-del-Pino Angelo , Vega-Díaz Nicanor , Sanchez-Santana Ana Yurena , Antón-Pérez Gloria , Ruiz-Santana Sergio , Rodríguez-Pérez José C. , Perez-Borges Patricia
Published: October 2024

Background and Objectives: hypochloremia is an emerging risk factor for mortality in patients with chronic kidney disease. The pathophysiological mechanisms of this finding are not very clear. Some studies suggest the influence of inflammation as a synergistic factor, so we set out to analyse the association of a novel C-reactive protein-to-serum chloride ratio (CRP/Cl−) with the prognosis of maintenance haemodialysis patients and to assess its relationship with fluid status and body composition measured by bioimpedance. Materials and Methods: the present work is a retrospective cohort study of maintenance haemodialysis patients from our chronic outpatient haemodialysis programme between 1 January 2022 and 31 December 2022. (n = 281). Survival time was collected for all patients and analysed using the Kaplan–Meier method. A Cox proportional hazards regression model was used to evaluate survival probabilities. Variables included in the model were selected using a stepwise selection procedure based on the corrected Akaike information criterion (AICc), which balances model fit and complexity. Results: during a median follow-up of 306 days, 34 patients died. Patients in the fourth quartile of the CRP/Cl− (>0.118 mg/mEq) had higher overall mortality (log-rank test, p = 0.0011). In the Cox multivariate analysis, the variables significantly associated with higher mortality were higher modified Charlson index (MCI), lower body surface area (BSA), lower interdialytic weight gain (IDWG), and higher CRP/Cl− ratio. The latter variable was independently associated with higher overall mortality (adjusted hazard ratio = 1.027; 95% confidence interval [CI], 1.000–1.055 p = 0.0469). Conclusions: Higher CRP/Cl− ratio values were associated with higher all-cause mortality in our maintenance haemodialysis patients.
Pictorial Review of Rare Pancreatic Tumors and Tumor-like Lesions: Radiologic–Pathologic Correlation
Authors: Hong Jun Hyung , Kim Jin Woong , Yoon Eun Ju , Song Sang Gook , Kim Hyun Chul , Hur Young Hoe , Kim Hyung Joong
Published: October 2024

Rare pancreatic tumors and non-neoplastic tumor-like lesions present a diagnostic challenge due to their uncommon occurrence and overlapping imaging characteristics with more prevalent pancreatic neoplasms. Advances in imaging technologies and diagnostic criteria have contributed to increased detection of these rare entities in clinical practice. This pictorial review focuses on the radiologic–pathologic correlation of rare pancreatic tumors, including colloid carcinoma, acinar cell carcinoma, pancreatoblastoma, primary pancreatic lymphoma, and non-neoplastic tumor-like lesions such as hamartomas and inflammatory pseudotumors. Detailed imaging features, such as signal intensities on MRI and enhancement patterns on CT, are correlated with pathological findings to assist in the differential diagnosis. Familiarity with these characteristics is crucial for radiologists to ensure accurate diagnosis and guide appropriate treatment strategies, as management and prognosis significantly differ from common pancreatic neoplasms.
Towards High-Quality Investment Casting of Ti-6Al-4V with Novel Calcium Zirconate Crucibles and Optimized Process Control
Authors: Bulling Florian , Klotz Ulrich E. , Heiss Alexander , Freitag Lisa , Faßauer Christina , Aneziris Christos G.
Published: October 2024

The investment casting of titanium and its alloys relies on a high resistance of the crucibles and shell molds in terms of temperature and reactivity. The availability of ceramic crucibles that offer sufficient resistance to the titanium melt enables vacuum induction melting (VIM). CaZrO3 prepared from a mixture of CaO and ZrO2 as a raw material for refractory ceramics shows a high corrosion resistance against metallic melts even under very high temperatures up to 1800 °C. Crucibles and shell molds of CaZrO3 were successfully produced and used in subsequent casting trials. This study is focused on the refractory crucibles suitable for casting Ti-6Al-4V (Ti-64) using a tilt casting machine. In order to evaluate the crucible reaction and, therefore, the quality of the castings, chemical analyses, investigations of the microstructures and hardness measurements were carried out. Careful control of the melting duration is mandatory to avoid crucible reactions that otherwise result in contamination of the cast with oxygen and zirconium. This was achieved by modified coil geometries. Under optimized casting conditions, the oxygen and zirconium impurity limits of ASTM B367-09 for titanium castings were met. Based on the correlations found, optimized casting parameters with regard to material quantity, coil geometry and heating power could be determined in order to provide guidance for a high-quality casting process with VIM.
High-Temperature Steam Oxidation and Surface Microstructure Evolution of Fe13Cr6Al(1–4)Mo0.15Y Alloys
Authors: Qi Wen , Qiao Yingjie , Ru Wangwei , Wang Xiaodong , Zhang Xiaohong , Zheng Ting , Du Shiyu , Wang Peng , Yang Kun
Published: October 2024

The current study investigated the microstructure evolution and anti-corrosion behavior of low Y doping alloys of Fe13Cr6Al(1–4)Mo0.15Y subjected to high-temperature steam (800 °C to 1300 °C). The results indicate that steam oxidation induces the growth of high-quality oxidation film that is thermodynamically driven, with rapid increases in the thickness from 800 °C to 1300 °C without film convolution and spallation. The film convolution and spallation were successfully suppressed through on-site formation of the high-temperature stable ternary crystalline phase (Y2Mo3O12) and decreasing of the thickness of α-Al2O3 oxidation film during the fabrication and oxidation scenario. The on-site steam oxidation rate has been significantly suppressed, with lower weight gain and less oxidizing film convolution than monolithic FeCrAlMo alloy, through the addition of a low concentration of Y.
Effects of Acorns on Meat Quality and Lipid Metabolism-Related Gene Expression in Muscle Tissues of Yuxi Black Pigs
Authors: Sun Zhe , Chang Yadi , Huang Luyao , An Siyuan , Liu Dongyang , Zhang Jinzhou , Miao Zhiguo
Published: October 2024

Objectives: The aim of this study was to investigate the effects of acorn diets on the composition of fatty acid (FA) and the intramuscular fat (IMF) content in Yuxi black pigs. Methods: Ninety Yuxi black pigs with similar body weight (99.60 ± 2.32 kg) were randomly divided into five groups. The control group was fed a basal diet, and the AD20, AD30, AD40, and AD50 groups were fed experimental diets which contained 20%, 30%, 40%, and 50% acorns, respectively. The feeding experiment lasted for 120 days. Results: The results showed that compared with the control group, the content of SFA in longissimus dorsi and biceps femoris tissues in the AD30 group decreased by 8.57% and 20.10%, and the content of MUFA increased by 5.40% and 15.83%, respectively, while the PUFA content of biceps femoris increased by 5.40% (p < 0.05). Meanwhile, the IMF content of the AD30 group was significantly higher than that of the control group in the longissimus dorsi and biceps femoris. In addition, the mRNA expression levels of the ATGL, PPARγ, and FABP4 genes in longissimus dorsi (p < 0.05) were up-regulated, and HSL were down-regulated (p < 0.05) in the AD30 group. In the biceps femoris of the AD30 group, it was observed that the expression levels of the ACC and FAS genes were up-regulated (p < 0.05), while HSL and ATGL genes were down-regulated (p < 0.05). Conclusions: These results demonstrated that the addition of appropriate amounts of acorn to the diet (a 30% acorn diet) could improve the nutritional value of pork.
The Effect of Cooking and Cooling Chickpea Pasta on Resistant Starch Content, Glycemic Response, and Glycemic Index in Healthy Adults
Authors: Bojarczuk Adrianna , Kęszycka Paulina , Marszałek Krystian , Gajewska Danuta
Published: October 2024

Background/Objectives: Legume seeds, such as chickpeas, are a rich source of resistant starch (RS) and have a low glycemic index (GI). The aim of this study was to evaluate the effect of cooking and cooling chickpea pasta on the RS content, glycemic response, and GI in healthy subjects. Methods: Twelve healthy subjects of both sexes, aged 18–65 years, participated in this study. Each person consumed two standardized portions of chickpea pasta: (i) freshly cooked (FCP) and (ii) cooked chickpea pasta which was cooled for 24 h at 4 °C and reheated before consumption (CCP). Glucose solution was provided as a reference food. Participants consumed chickpea pasta in a random order. GI measurements were completed using the standard methodology and calculated according to the ISO 2010 standard. Results: The cooling and reheating process significantly increased the RS content of boiled chickpea pasta (from 1.83 g/100 g to 3.65 g/100 g) and had a beneficial effect on postprandial glycemia in healthy individuals. The CCP pasta had a significantly lower GI value than the FCP pasta (33 vs. 39, p = 0.0022). A significant difference in the glucose, as identified by the incremental area under the curve (IAUC), was observed between the CCP and FCP (1327.9 ± 414.8 mg/dL/min vs. 1556.1 ± 456.9 mg/dL/min, p = 0.0022). The cooling–reheating process did not affect the sensory attributes of the chickpea pasta. In general, the overall acceptability of the CCP pasta was similar to that of the FCP pasta. Conclusions: The results of our study support the hypothesis that a reduced glycemic response after simple changes in technological intervention leads to a decrease in postprandial blood glucose and GI. This can be helpful for people who need to control postprandial glycemia.
Effects of Different Dietary Combinations on Blood Biochemical Indicators and Rumen Microbial Ecology in Wenshan Cattle
Authors: Wu Dongwang , He Xiaoming , Lu Ying , Gao Zhendong , Chong Yuqing , Hong Jieyun , Wu Jiao , Deng Weidong , Xi Dongmei
Published: October 2024

With the continuous optimization of feed ingredients in livestock production, barley has garnered significant attention as a potential substitute for corn in feed. This study aims to investigate the effects of replacing part of the corn and soybean meal with barley, wheat bran, and rapeseed meal on Wenshan cattle, focusing on the rumen microbial community, blood physiological and biochemical indicators, and growth traits. Through an intensive feeding experiment with two different dietary ratios, we found that adding barley to the diet significantly reduced the host’s blood lipid concentration and significantly increased the height, body length, heart girth, and average daily weight gain of Wenshan cattle. Analysis of the rumen microbial community structure showed that the addition of barley significantly affected the relative abundance of Firmicutes, Proteobacteria, and Bacteroidetes, with the relative abundance of Spirochaetes being significantly lower than that of the control group (p < 0.05). The dominant bacterial groups mainly included Acinetobacter, Solibacillus, and Lysinibacillus. In summary, this study reveals the potential of different feed ingredient ratios involving barley, wheat bran, and rapeseed meal in the production performance of Wenshan cattle. By regulating blood physiology and improving the rumen micro-ecological structure, it provides new scientific evidence for optimizing livestock and poultry feeding management strategies. Future research will further explore the optimal application ratio of barley under different feeding conditions and its long-term impact on animal health and production performance.
Prevalence and Antimicrobial Susceptibility of Foodborne Pathogens from Raw Livestock Meat in China, 2021
Authors: Ren Xiang , Yang Dajin , Yang Zushun , Li Ying , Yang Shuran , Li Weiwei , Qiao Xin , Xue Chengyu , Chen Min , Zhang Limin , Yan Lin , Peng Zixin
Published: October 2024

The rising prevalence of pathogenic bacteria in livestock meat poses a growing public health concern in China. The determination of antimicrobial resistance (AMR) is critical for the clinical management of foodborne infections stemming from livestock meat consumption. This study aimed to assess the prevalence of pathogenic bacteria in livestock meat (pork, beef, and mutton) sampled in China in 2021 and to identify the most common AMR patterns among the isolated pathogens. A total of 2515 raw livestock meat samples were collected across 15 provinces in China during 2021. Pathogen detection, including Listeria monocytogenes, Salmonella, and diarrheagenic Escherichia coli (DEC), followed China’s national food safety standards. All Salmonella isolates underwent serotyping via slide agglutination. Antimicrobial susceptibility of Salmonella and DEC isolates was assessed using the broth dilution method. The detection rates for L. monocytogenes, Salmonella, and DEC in raw livestock meat were 9.06% (228/2, 515), 10.54% (265/2, 515), and 6.16% (155/2, 515), respectively. Pork showed the highest contamination rates for Salmonella and DEC, with prevalence rates of 17.60% (214/1, 216, χ2 = 124.62, p < 0.05) and 7.89% (96/1, 216, χ2 = 14.466, p < 0.05), respectively. L. monocytogenes contamination was notably higher in chilled (14.43%, 84/582) and frozen (12.39%, 55/444) meat than in fresh meat (χ2 = 43.510, p < 0.05). In contrast, Salmonella (12.09%, 180/1489, χ2 = 15.173, p < 0.05) and DEC (7.25%, 108/1489, χ2 = 12.275, p < 0.05) were more prevalent in fresh meat than in chilled or frozen samples. The predominant Salmonella serotypes identified were Salmonella enterica subsp. enterica serovar Typhimurium, followed by Salmonella enterica serovar Derby, Salmonella enterica serovar Rissen, Salmonella enterica serovar London, and Salmonella enterica serotype Enteritidis. Enteroaggregative E. coli was the most frequent pathotype among DEC (84.7%, 133/157), followed by enteropathogenic E. coli (8.3%, 13/157) and enterohemorrhagic E. coli (5.1%, 8/157). Among the 14 tested antimicrobial agents, Salmonella isolates demonstrated an overall resistance rate of 87.50%, while DEC exhibited a resistance rate of 84.70%. Ampicillin and tetracycline showed the highest resistance rates in both pathogens. Multi-drug resistance (MDR) was observed in 67.53% of Salmonella isolates (183 isolates) and 57.96% of DEC isolates (91 isolates). This study highlights the significant contamination of retail raw livestock meat in China by L. monocytogenes, Salmonella, and DEC. The high resistance of MDR in both pathogens poses serious public health risks. Chinese food safety and veterinary authorities should implement stricter measures to control pathogen contamination and regulate the use of antimicrobials in livestock to mitigate these risks.
Characteristics of Water Environment and Intestinal Microbial Community of Largemouth Bass (Micropterus salmoides) Cultured Under Biofloc Model
Authors: Jin Yuqin , Meng Shunlong , Xu Huimin , Song Chao , Fan Limin , Qiu Liping , Li Dandan
Published: October 2024

To investigate the effects of biofloc mode on the water environment and intestinal microbial community structure of largemouth bass, a 60-day culture experiment was conducted without water replacement in 300-L glass tanks. The experiment included a control group and a biofloc group, each with three replicates. The results showed the following: (i) the richness and diversity of the water environment and fish intestinal microbial community increased under the biofloc model; (ii) Proteobacteria, Patescibacteria, and Bacteroidota were the dominant phyla in the water environment of largemouth bass, while Proteobacteria, Firmicutes, Bacteroidota, Patescibacteria, and Actinobacteriota were the dominant phyla in the gut of largemouth bass. However, differences in the relative abundance and community structure of microorganisms were observed between the two groups, suggesting that the biofloc system impacts both the water environment and intestinal microbial community structure in largemouth bass culture. (iii) A correlation analysis between water quality indices and enzyme activity with microbial abundance revealed that microbial community composition could effectively reflect water quality and fish physiological health. Based on the analysis of microbial community structure, this study offers a theoretical foundation for integrating largemouth bass culture with the biofloc system, and provides valuable data for future health management and water quality control in largemouth bass production.
Halophilic Pectinase-Producing Bacteria from Arthrocnemum macrostachyum Rhizosphere: Potential for Fruit–Vegetable Juice Processing
Authors: Alswat Amal S. , Alharthy Ohud Muslat , Alzahrani Seham Saeed , Alhelaify Seham Sater
Published: October 2024

This study aimed to isolate salt-tolerant pectinolytic bacteria from the rhizosphere of a salt marsh plant and utilize their pectinases for the clarification of detox juice preparation. Sixteen halophilic bacterial strains were isolated from the rhizospheric soil of Arthrocnemum macrostachyum. The isolates were screened for pectinase activity, and two strains, ASA21 and ASA29, exhibited the highest pectinase production in the presence of 2.5% NaCl, reaching 13.3 and 14.1 IU mL−1, respectively. The strains were identified as Bacillus paralicheniformis and Paenibacillus sp. by 16S rDNA sequencing and phylogenetic analysis. Growth kinetics and pectinase production studies revealed that both strains produced pectinase during the log phase, with ASA29 demonstrating higher growth and pectinase titers. The pectinase from ASA29 exhibited enhanced activity in the presence of 3% NaCl. The pectinases from both strains were applied for the clarification of detox juice prepared from beetroot, carrots, and apples. The use of 20 IU mL−1 pectinase from ASA29 for 2–3 h yielded > 96% juice with high total phenolic content and antioxidant activities. This study highlights the potential of salt-tolerant pectinolytic bacteria from the rhizosphere for biotechnological applications, particularly in the clarification of juices with high salt content.
Nanosomes in Precision Nanomedicine
Authors: Baldino Lucia
Published: October 2024

Nanosomes are vesicles that can be used in precision nanomedicine to deliver active pharmaceutical ingredients to specific cells or tissues; they are designed to improve the efficacy and safety of drug delivery systems [...]
Epidemiology of Bacteremia in Patients with Hematological Malignancies and Hematopoietic Stem Cell Transplantation and the Impact of Antibiotic Resistance on Mortality: Data from a Multicenter Study in Argentina
Authors: Herrera Fabián , Torres Diego , Laborde Ana , Jordán Rosana , Berruezo Lorena , Roccia Rossi Inés , Mañez Noelia , Tula Lucas , Pereyra María Laura , Nenna Andrea , Costantini Patricia , Benso José , González Ibañez María Luz , Eusebio María José , Baldoni Nadia , Barcán Laura Alicia , Lambert Sandra , Luck Martín , Pasterán Fernando , Corso Alejandra , Rapoport Melina , Nicola Federico , García Damiano María Cristina , Monge Renata , Carbone Ruth , Reynaldi Mariana , Greco Graciela , Blanco Miriam , Chaves María Laura , Bronzi Marcelo , Carena Alberto
Published: October 2024

The epidemiology of bacteremia and the antibiotic resistance profile (ARP) of Gram-negative bacilli (GNB) in hematological malignancies (HM) and hematopoietic stem cell transplant (HSCT) patients may differ according to geographic region. In addition, multidrug-resistant organisms (MDROs) may impact mortality. This is a prospective, observational, and multicenter study. The first episodes of bacteremia in adult patients with HM or HSCT were included. The risk factors for 30-day mortality were identified. One thousand two hundred and seventy-seven episodes were included (HM: 920; HSCT: 357). GNB were isolated in 60.3% of episodes, with Enterobacterales (46.9%) and P. aeruginosa (8.5%) being the most frequent. Gram-positive cocci were isolated in 41.9% of episodes, with coagulase-negative staphylococci (19.8%) and S. aureus (10.4%) being the most frequent. MDROs were isolated in 40.2% (24.4% GNB). The ARP of GNB in patients with HM vs. HSCT was cefepime: 36.8% vs. 45.7% (p = 0.026); piperacillin–tazobactam: 31.05% vs. 45.2% (p < 0.0001); carbapenems: 18.9% vs. 27.3% (p = 0.012); and aminoglycosides: 9.3% vs. 15.4% (p = 0.017), respectively. Overall mortality between patients with HM and HSCT was 17.5% vs. 17.6% (p = 0.951), respectively. The risk factors for mortality were relapsed and refractory underlying disease, corticosteroids use, respiratory source, septic shock, and GNB resistant to meropenem, while 7-day clinical response was a protective factor for survival. Bacteremia was frequently caused by GNB, with a large proportion of MDROs and a high level of antibiotic resistance, especially in patients with HSCT. Carbapenem-resistant GNB bacteremia was associated with a significant increase in mortality.
Metavirome Insights into the Diversity and Potential Pathogenic Infection of Chlamys farreri in the Coastal Seas of the Republic of Korea
Authors: Shin Ji Woo , Kim Kang Eun , Park Joon Sang , Kim Min-Jeong , Lee Taek-Kyun , Kim Yu Jin , Kim Hyun-Jung , Kim Seon Min , Jung Seung Won
Published: October 2024

Chlamys farreri is primarily cultivated in Japan, China, and South Korea. Although mass mortality of scallops has been occurring recently, likely caused by high temperatures or infectious diseases, the underlying cause remains unclear. Little is known regarding the viral diseases affecting them. Therefore, we explored DNA virus diversity in the mid-gut gland of C. farreri and compared it with that of seawater. C. farreri was cultivated at depths below 5 m from the sea surface in the coastal waters of South Korea and sampled from May to August 2018. Different DNA viral communities were observed in both C. farreri and seawater. In C. farreri, prevalent groups included Mimiviridae (7%), Poxviridae (6%), and Phycodnaviridae (5%). Conversely, the dominant groups in seawater were Autographiviridae (20%), Kyanoviridae (12%), and Zobellviridae (10%). We identified C. farreri-specific viral communities and potentially infectious viruses, such as Ostreid herpesvirus 1 and Abalone herpesvirus Victoria/AUS/2009. Furthermore, C. farreri acts as a reservoir for various viruses, which impact microbial community dynamics and disease transmission in marine ecosystems. Understanding these viral communities is crucial to protecting and restoring coastal ecosystems by highlighting their role in the transmission of potential avian- and bivalve-specific viruses.
Twenty-Week Dietary Supplementation with Beeswax Alcohol (BWA; Raydel®) Ameliorates High-Cholesterol-Induced Long-Term Dyslipidemia and Organ Damage in Hyperlipidemic Zebrafish in a Dose-Dependent Manner: A Comparative Analysis Between BWA and Coenzyme Q10
Authors: Cho Kyung-Hyun , Bahuguna Ashutosh , Lee Yunki , Lee Sang Hyuk , Kim Ji-Eun
Published: October 2024

Background/Objectives: Beeswax alcohol (BWA; Raydel®) is a blend of six long-chain aliphatic alcohols extracted from honeybee wax and is well known for its diverse functionality and health benefits. Herein, the efficacy of a BWA dietary intervention for 20 weeks was assessed to ameliorate high-cholesterol diet (HCD)-induced dyslipidemia and adverse effects on the vital organs of adult zebrafish. Methods: Adult zebrafish were fed different high-cholesterol diets (HCDs; final concentration of 4%, w/w) supplemented with BWA (final concentrations of 0.1%, 0.5% and 1.0%, w/w) or CoQ10 (final concentration of 1.0%). Following 20 weeks of supplementation, blood and different organs (liver, kidney, testes and ovaries) were collected, and biochemical, histological and immunohistochemical analyses were performed. Results: The results demonstrate a dose-dependent effect of BWA of mitigating HCD-induced mortality in zebrafish over the 20-week supplementation period, which was noticeably better than the effect exerted by coenzyme Q10 (CoQ10). Consistently, a dose-dependent effect of BWA consumption of curtailing HCD-induced total cholesterol (TC) and triglyceride (TG) levels and increasing high-density-lipoprotein cholesterol (HDL-C) levels was noticed. Compared with CoQ10 (final concentration of 1.0%, w/w), BWA (final concentration of 1.0%, w/w) displayed a significantly better effect of mitigating HCD-induced dyslipidemia, as evidenced by 1.2-fold (p < 0.05) and 2.0-fold (p < 0.05) lower TC and TG levels and 2.4-fold (p < 0.01) higher HDL-C levels. The histological analysis revealed substantial prevention of fatty liver changes, reactive oxygen species (ROS) generation, cellular senescence and interleukin (IL)-6 production in the hepatic tissue of BWA zebrafish, which was significantly better than the effect exerted by CoQ10. Consistently, compared with CoQ10, significant 25% (p < 0.05) and 35% (p < 0.01) reductions in the HCD-induced elevated levels of the hepatic function biomarkers aspartate aminotransferase and alanine aminotransferase was observed in the BWA group. Likewise, BWA consumption efficiently ameliorated HCD-induced kidney, ovary and testis damage by inhibiting ROS generation, cellular senescence and lipid accumulation. Conclusion: Supplementation with BWA demonstrated higher therapeutic potential than that with CoQ10 to prevent dyslipidemia and organ damage associated with long-term consumption of HCDs.
Advancing Pain Understanding and Drug Discovery: Insights from Preclinical Models and Recent Research Findings
Authors: Asiri Yahya I. , Moni Sivakumar S. , Ramar Mohankumar , Chidambaram Kumarappan
Published: October 2024

Despite major advancements in our understanding of its fundamental causes, pain—both acute and chronic—remains a serious health concern. Various preclinical investigations utilizing diverse animal, cellular, and alternative models are required and frequently demanded by regulatory approval bodies to bridge the gap between the lab and the clinic. Investigating naturally occurring painful disorders can speed up medication development at the preclinical and clinical levels by illuminating molecular pathways. A wide range of animal models related to pain have been developed to elucidate pathophysiological mechanisms and aid in identifying novel targets for treatment. Pain sometimes drugs fail clinically, causing high translational costs due to poor selection and the use of preclinical tools and reporting. To improve the study of pain in a clinical context, researchers have been creating innovative models over the past few decades that better represent pathological pain conditions. In this paper, we provide a summary of traditional animal models, including rodents, cellular models, human volunteers, and alternative models, as well as the specific characteristics of pain diseases they model. However, a more rigorous approach to preclinical research and cutting-edge analgesic technologies may be necessary to successfully create novel analgesics. The research highlights from this review emphasize new opportunities to develop research that includes animals and non-animals using proven methods pertinent to comprehending and treating human suffering. This review highlights the value of using a variety of modern pain models in animals before human trials. These models can help us understand the different mechanisms behind various pain types. This will ultimately lead to the development of more effective pain medications.