bluuebunny/crossref_metadata_2025 huggingface dataset:
BBD Driven Fabrication of Hydroxyapatite Engineered Risedronate Loaded Thiolated Chitosan Nanoparticles and Their In Silico, In-Vitro and Ex-vivo Studies
Authors: Saifi Zoya , Ralli Tanya , Rizwanullah Md. , Alam Meraj , Vohora Divya , Mir Showkat R. , Amin Saima , Ameen Sadia
Published: August 2023

Risedronate sodium (RIS) possesses very low bioavailability and several adverse effects in the gastrointestinal tract when administered through an oral route. Thus, this necessitates the need to develop novel formulation. Hence, we had developed RIS-HA-TCS loaded mPEG coated nanoparticles for the treatment of osteoporosis. Chitosan was used to synthesize thiolated chitosan and its characterization was done using DSC and FTIR. Ellman's reagent was used to measure the degree of thiol immobilization. The RIS-HA fabrication was done and was further conjugated with the synthesized TCS. The Box-Behnken design process was used for designing fifteen batches of RIS-HA-TCS nanoparticles, which were formulated by ionic gelation procedure in which tripolyphosphate (TPP) was used as a crosslinking agent. Moreover, RIS and RIS-HA-TCS in-silico activity was compared for farnesyl pyrophosphate synthetase enzyme. The obtained results revealed that the binding affinity of RIS was much more than the conjugated RIS. Successful docking results paved the way for thiolation of chitosan with RIS. The drug entrapment efficiency (%EE), particle size and Polydispersity index (PDI) of RIS-HA-TCS nanoparticles obtained were 85.4 ±2.21%, 252.1 ±2.44 nm and 0.2± 0.01 respectively. The particle size, PDI, and encapsulation efficiency of RIS-HA-TCS were reported to be 264.9 ±1.91 nm, 0.120± 0.01, and 91.1 ±1.17%, respectively, after being further conjugated with mPEG. TEM showed the spherical particle size of RIS-HA-TCS and RIS-HA-TCS-mPEG. The in-vitro release of RIS-HS-TCS-mPEG was found to be significantly higher (95.13±4.64%) as compared to RIS-HA-TCS (91.74 ± 5.13%), RIS suspension (56.12 ± 5.19%) and marketed formulation (74.69 ± 3.98%). In an ex-vivo gut permeation study, RIS-HA-TCS-mPEG nanoparticles was found to have an apparent permeability of 0.5858×10-1 cm/min which was better than the apparent permeabilities of RIS-HA-TCS formulation (0.4011 ×10-4cm/min), RIS suspension (0.2005 ×10-4 cm/min) and marketed preparation (0.3401 ×10-4 cm/min)..
Identification of Rice RRM1 Gene Family and Its Resistance to Rice Blast
Authors: Jiang Xinlei , Yu Shangwei , Huang Yuhan , Huang Junying , Liu Shaochun , Yang Deiwei , Fu Junru , He Haohua , Fu Haihui
Published: August 2023

In order to enhance understanding of RNA-binding proteins in rice, a comprehensive investigation was conducted on the RRM1 gene family of rice, encompassing genome-wide identification and exploration of its role in rice blast resistance. Physical and chemical properties of the OsRRM1 gene family in rice was analyzed, including conserved domain, motif, location information, gene structure, phylogenetic tree, collinearity analysis, cis-acting elements, GO, and KEGG. Furthermore, the expression patterns of the OsRRM1 gene were examined at different time intervals following rice blast treatment. Furthermore, the alterations in expression patterns of selected OsRRM1 genes were assessed using quantitative real-time PCR(qRT-PCR). A total of 212 members of the OsRRM1 gene family were identified, which were dispersed across 12 chromosomes. Many of these genes exhibit multiple exons and introns, all of which encompass the conserved RRM1 domain and share analogous motifs. This observation suggests a high degree of conservation within the encoded sequence domain of these genes. Phylogenetic analysis revealed the existence of five subfamilies within the OsRRM1 gene family. Furthermore, the investigation of the promoter region identified homeopathic elements that are involved in nucleic acid binding and interaction with multiple transcription factors. By employing GO and KEGG analysis, four RRM1 genes were tentatively identified as crucial contributors to plant immunity, while the RRM1 gene family was also found to have a significant involvement in the complex of alternative splicing. Additionally, gene expression analysis indicated that the majority of OsRRM1 genes exhibited constitutive expression. The results of the qRT-PCR analysis revealed distinct temporal changes in the expression pattern of the OsRRM1 gene following rice blast treatment. These findings contribute to the existing knowledge of the OsRRM1 gene family, establish a foundation for further investigation into the role of the OsRRM1 gene in response to rice blast infection, and hold theoretical significance for future studies on the functionality of the OsRRM1 gene.
Development Strategic, Economic, and Potency Assessment of Sorghum (Sorghum bicolor L. Moench) in Tidal Swamplands of Central Kalimantan, Indonesia
Authors: Susilawati Susilawati , Surdianto Yanto , Erythrina Erythrina , Bhermana Andy , Liana Twenty , Syafruddin Syafruddin , Anshori Arif , Nugroho Wahyu Adi , Hidayanto Muhamad , Hidayanto Muhamad , Sutrisna Nana , Baharudin Baharudin , Susanto Bambang , Sabran Muhamad , Supriadi Khojin , Qomariah Retna , Lesmayati Susi , Taufik Eka Nor , Darsani Yanti Rina
Published: August 2023

The potency and challenges of sorghum development in tidal swamplands in Indonesia have yet to be well studied. Our research was the first to evaluate land suitability, economic performance, and strategies for developing sorghum in tidal swamplands in Central Kalimantan. The assessment methods for the potency and utilization of sorghum used the land suitability evaluation method, gross margin and profit analysis, break-even, and competitive analysis. As a tool for decision-making, we used SWOT followed by the quantitative strategic planning matrix (QSPM) analysis. The results showed that the potency of arable land suitable for sorghum development was 578,511 ha. Economically, sorghum farming can generate an IDR 12,894,000 per ha with a revenue-cost ratio of 1.72; the break-even price was IDR 2,447 per kg, around 42% lower than the current market price. Sorghum was also more competitive than cassava, sweet potato, and soybeans (Q values of 0.76, 0.58, and 0.61, respectively) and less competitive than maize (Q = 1.33). Based on the QSPM, there were five alternative strategies for developing sorghum in tidal swamplands, i.e., (1) Optimization of productivity, (2) Improving the quality of human resources of farmers, (3) Facilitation of partnership cooperation, (4) Application of site-specific technology, and (5) Optimization of waste utilization. Those strategies show the potential expansion of sorghum planting in the tidal swamplands and the economic value enhancement for the community.
Understanding Cancer from an Evolutionary Perspective; DSCD Cells as Cell-of-Origin in Non-Mutational Sporadic Cancers
Authors: Niculescu Vladimir F.
Published: August 2023

The life cycle of cancer follows the life cycle of the common ancestor of amoebozoans, metazoans, and fungi (AMF) and its systemic germline, which serves as a blueprint for all germlines capable of asymmetric cell division (ACD) and stem cell differentiation. Consequently, the oxygen sensitivity of the ancient non-gametogenic germline (Urgermline) was inherited by all germ and stem cell lines including the cancer germline. They all respond to Ugermline’s hyperoxia with loss of stemness and ACD ability and a dysregulated phenotype with irreparable DNA defects and defective symmetric cell divisions (DSCD). In protists, defective DSCD cells undergo an ancient MGRS repair program involving cell and nuclear fusion and hyperploid giant nuclei that restores the damaged genome to its former pre-DSCD state, with ACD potential and stemness. Human and metazoan DSCD use the same MGRS repair program inherited from the AMF ancestor. Ectopic DSCDs and DSCD-like phenotypes can survive in humans for many years in suitable niches. Under favorable environmental conditions, they also have access to the ancient MGRS repair mechanism including the ancient gene regulatory network (aGRN) and all other AMF genes. The aGRN takes control of cancer’s hybrid genome and represses human genes. It installs a G+S cancer life cycle of AMF imprinting that shapes the differentiation of naïve cancer stem cells (CSCs). CSCs are deeply homologous to the aGSCs of the AMF ancestor. Reprogramming of the DSCD genome by MGRS paves the way for oncogenesis. In this light, cancer is not a mutational or genetic disease, but a non-mutational genome-altering disease.
Exergy Loss Assessment Method for CNC Milling System considering the Energy Consumption of the Operator
Authors: Feng Zhaohui , Zhang Hua , Yu Yajian , Guan Youjia , Ding Xinru , Li Wei
Published: August 2023

Modeling and assessing the sustainability of machining systems has been considered to be a crucial approach to improving the environmental performance of the machining processes. As the most common machining system, the computer numerical control (CNC) milling system is a typical man-machine cooperative system where the activities of the machine tool and operator generate material and energy consumption. However, the energy consumption of the operator in the CNC milling system has often been ignored in most existing research. Therefore, existing methods fail to provide a comprehensive understanding of the sustainability of the CNC milling system. To fill this gap, an exergy loss assessment method is proposed to investigate the sustainability of the CNC milling system, where the energy consumption of the operator, the energy consumption of the machine tool, and material consumption are taken into consideration. The key performance indexes of the energy consumption of the operator, the energy consumption of the machine tool, the exergy loss, and the specific exergy loss (SEL) are analyzed and modeled. To demonstrate the feasibility of the proposed method, a case study was carried out on a three-axis machining center (XH714D), in which SEL was found to be 88.04J/mm3. The proposed method is effective to assess the sustainability of the CNC milling system, and the established exergy loss models build a good basis for exergy efficiency optimization.
AlphaFold Blindness to Topological Barriers Affects Its Ability to Correctly Predict Proteins’ Topology
Authors: Dabrowski-Tumanski Pawel , Stasiak Andrzej
Published: August 2023

AlphaFold is a groundbreaking Deep Learning tool for protein structure prediction. It achieved remarkable accuracy in modeling the many 3D structures while taking as the input only the known amino acid sequence of proteins in question. Intriguingly though, in the early steps of each individual structure prediction procedure, AlphaFold is not respecting topological barriers that in real proteins result from the reciprocals impermeability of polypeptide chains. This study aims to investigate how this non-respecting of topological barriers affects AlphaFold predictions with respect to the topology of protein chains. We focus on such classes of proteins that during their natural folding form reproducibly the same knot type on their linear polypeptide chain as revealed by their crystallographic analysis. We use partially artificial test constructs in which the mutual non-permeability of polypeptide chains should not permit the formation of such knots during natural protein folding. We find that despite the formal impossibility that the protein folding process could produce such knots, AlphaFold predicts these proteins to be knotted. Our study underscores the necessity for cautious interpretation and further validation of topological features in protein structures predicted by AlphaFold.
The Role of Uric Acid in Human Health: Insights from the Uricase Gene
Authors: Roman Youssef M
Published: August 2023

The accumulation of loss of function mutations in the uricase gene well explains the high urate levels in hominoids (apes and humans) compared to other mammals. The loss of human uricase activity may have allowed humans to survive environmental stressors, evolution bottlenecks, and life-threatening pathogens. While high urate levels may contribute to developing cardiometabolic disorders such as hypertension and insulin resistance, low urate levels may increase the risk for neurodegenerative diseases. The double-edged sword effect of uric acid has resurrected a growing interest in the antioxidant role of urate and the role of the uricase gene in modulating the risk of obesity. Characterizing both the effect of uric acid levels and the uricase gene in different animal models may provide new insights into the potential therapeutic benefits of uric acid and novel uricase-based therapy.
Safety Management of via Ferrata Climbers in the European Alps-Epidemiology of Injuries and First Aid Knowledge of the Mountaineers
Authors: Küpper Thomas , Kühn Christian , Schwarz Ulrich , Schöffl Volker , Heggie Travis , Kühn Julia
Published: August 2023

Background: The popularity of climbing via ferratas (VF) in the European Alps has increased a lot. We have analysed the pattern of injuries from accidents, which have occurred on VF, and First Aid (FA) knowledge from the persons on such alpine routes. The aim was to create specific FA courses for those who climb VF.

Material and Methods: Incidences and FA knowledge of the alpinists were investigated by a questionnaire. Data included details of the individual’s alpine experience, accidents or any kind of medical emergency they have ever experienced. FA knowledge was evaluated by 18 multiple choice questions with 5 answers each. The questionnaire was based on those of previous studies but was slightly adopted for VF. For this data from rescue operations on VF were used. Finally every participant was asked to judge his FA knowledge by a Likert scale (1 to 5).

Results: The collective consisted of 391 participants (28.4% women) with an average age of 41 years. A significant portion did no regular fitness training and in most cases the last FA training was years ago. Nobody had joined a specific FA course for climbers or mountaineers. The most common causes of emergencies were: weather conditions (19%), stumble (18.6%), falls (13.4%), and weariness and deficiency in concentration (13.4%). FA questions most often answered correctly were cardiac emergencies (49.6%), high altitude cerebral edema (HACE) (43.2%), snow blindness (40.9%), injuries of the head (37.1%) and hemorrhagic shock (35.3%). Those most often wrong were injuries of the back (1.0%), injuries of the thorax (2.8%), frostbite (9.0%), acute mountain sickness (AMS) (4.1%) and strategy of rescue (4.1%). VF climbers show significant less FA knowledge than mountaineers in the Western Alps and trekkers.

Conclusions: Data support the need of a specific FA training for VF climbers. Their FA knowledge does not fit with the demands in the mountains while some other knowledge they have is negligible on VFs (e.g. HACE). This is in accordance with earlier studies in “classic” alpine mountaineering and in trekking.
How Does cGAS Avoid to Sense Self-DNA under Normal Physiological Conditions?
Authors: Zheng Wangli , Chen Nanhua , Meurens François , Zheng Wanglong , Zhu Jianzhong
Published: August 2023

cGAS is a cytosolic DNA sensor that activates innate immune responses through production of the second messenger 2’3’-cGAMP, which activates the adaptor STING. cGAS senses dsDNA in a length-dependent but sequence-independent manner, and it cannot discriminate self-DNA from foreign DNA. In normal physiological conditions, cellular DNA is sequestered in the nucleus by nuclear envelope and in mitochondria by mitochondrial membrane. When self-DNA leaks into the cytosol during cellular stress, or during mitosis, the cGAS can be exposed to self-DNA and be activated. Recently, many studies have investigated how cGAS keeps inactive and avoids to be aberrantly activated by self-DNA. Thus, the aim of this narrative review is to summarize the mechanisms by which cGAS avoids to sense self-DNA under normal physiological conditions.
Optimization and Modeling of Teff, Sorghum and Fenugreek Flour Mixing Ratios for Better Quality Characteristics of injera by Using D-Optimal Mixture Design
Authors: Awulachew Melaku Tafese , Kuffi Kumsa Delessa
Published: August 2023

Deficiency, with its two constituents of protein-energy deficiency and micronutrient deficiencies, remains a substantial health burden in underdeveloped nations. It is the largest cause of sickness and death worldwide, particularly harming hundreds of millions of small children and pregnant women. In order to improve the protein-energy and micro- macro needs of developing countries, food products made from compositing flours are required. Ethiopian injera is a fermented, leavened flatbread produced primarily from teff flour. However, when compared to teff injera, injera made from sorghum flour and its blend has been found to have textural flaws. Uncontrolled staling of sorghum flour incorporated teff injera resulted in limited softness, freshness, rollability, brittleness anddryness which create big problems during storage. Due to its numerous health advantages and nutritional worth, fenugreek is regarded as a key functional food element. As a result, this study was conducted to identify the regression equation of injera formulations and optimise the teff, sorghum, and fenugreek flour blending ratios that result in injera with higher quality properties. Using mixture design methods and a D-optimal design, the effects of blending flour ratios on injera quality were examined. Teff flour alone injera was used as the control. Fourteen injera formulations were created using limited mixtures of teff (50-100%), sorghum (0-50%), and fenugreek (0-5%). Proximate, staling rate, mineral, antinutritional components, and sensory qualities were all taken into account as response variables in this study. The study's findings showed that increasing the proportion of fenugreek flours in injera made from teff-sorghum-fenugreek mixing ratios improved nutritive values, improved sensory appeal, textural characteristics and reduced staling rate. Generally speaking, the best injera blending ratio was found to be 64.1% teff, 32% sorghum, and 3.80% fenugreek in terms of overall qualitative qualities.
Analysis of 14 β-Agonists in Pork Using Automated Wooden Tip Based SPME Device and UPLC-MS/MS
Authors: Li Kai , Gong Xiaoming , Jin Liming , Liu Mengxiao , Hua Mengmeng
Published: August 2023

This study presents an innovative analytical method for the detection and quantification of 14 β-agonists in pork using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The method involves the use of a solid phase microextraction (SPME) probe, consisting of a wooden tip coated with polyacrylonitrile (PAN) and molecularly imprinted polymer (MIP). This probe has been integrated into an automated extraction device, designed in our laboratory to extract the target analytes prior to LC-MS/MS analysis. Compared to the traditional solid-phase extraction (SPE) procedure, the proposed approach significantly reduces the costs related to adsorbent ma-terial and solvent consumption, and shortens purification time, thereby reducing both the tech-nical workload and associated expenses. The methodology has been carefully validated in ac-cordance with the National Standard of the People's Republic of China (GB/T 22286-2008), evalu-ating key parameters including the limit of detection (LOD), limit of quantification (LOQ), matrix effects, linearity, and both intra-day and inter-day precision. The average recovery rates for all β-agonists were observed to lie between 71.6% and 82.2%, with relative standard deviations (RSDs) consistently below 15% for both types of precision. The LOD and LOQ values were found to range from 0.09 to 0.39 μg/kg and 0.27 to 0.99 μg/kg, respectively. In terms of accurate detection of positive samples, the developed method demonstrated a closer approximation to the true value of the sample compared to the National Standard method GB/T 31658.22-2022. Overall, the proposed method exhibits substantial promise for the routine assessment of β-agonists in pork and presents a practical alternative for compliance monitoring in regulatory settings.
Facilitating “Omics” to Phenotype Classification Using a User-Friendly AI-Driven Platform: Application to Cancer Prognostics
Authors: Filho Uraquitan Lima , Pais Tiago Alexandre , Pais Ricardo Jorge
Published: August 2023

Precision medicine approaches often relies on complex and integrative analysis of multiple biomarkers from “omics” data to generate insights that can help either diagnostics, prognostics or therapeutical decisions. Such insights are often made using Machine learning (ML) models that make sample classification for a particular phenotype (yes/no). Building such models is a challenge and time-consuming, requiring advanced coding skills and mathematical modelling expertise. Artificial intelligence (AI) is a methodological solution that has the potential to facilitate, optimize and scale model development. In this work, we developed an AI-based, user-friendly and code-free platform (https://digitalphenomics.com) that fully automates the development of predictive models from quantitative “omics” data. Here, we show the application of this tool with the development of cancer survival prognostics models using real-life data from breast, lung and renal cancer transcriptomes. We report and compare their sensitivity, specificity, accuracy and Receiver Operating Characteristic (ROC) curve Area Under the Curve (AUC). Further, we report the associated sets of genes (biomarkers) and their expression pattern that are predictive of cancer survival. Moreover, we made our models available as online tools to generate prognostic predictions based on the gene expression of the biomarkers. In conclusion, we demonstrated that our tool is a robust user-friendly solution to develop bespoke predictive tools from “omics” data which facilitate precision medicine introduction to the point-of-care.
Melatonin Treatment Maintains the Quality of Fresh-cut Gastrodia elata Under Low Temperature Conditions by Regulating Reactive Oxygen Species Metabolism and Phenylpropanoid Pathway
Authors: Dong Boyu , Da Fangfang , Chen Yulong , Ding Xiaochun
Published: August 2023

The application of melatonin (MT) has been shown to improve the quality during the storage of fruits and vegetables. The primary objective of this study is to investigate the effects of MT on the quality of fresh-cut Gastrodia elata during low temperature (4°C) storage. The results indicate that MT treatment could suppress the respiratory rate and malondialdehyde content of fresh-cut G. elata, while also slowing down the decline in total acidity and total soluble solids. The treatment with MT reduced the superoxide anions and hydrogen peroxide production, inhibited the activity and expression of peroxidase and polyphenol oxidase. Additionally, it led to increased activity and expression of antioxidant-related enzymes, including superoxide dismutase, catalase, ascorbate peroxidase, glutathione reductase, monodehydroascorbate reductase, and dehydroascorbate reductase, while also resulted in elevated levels of ascorbic acid and glutathione. Furthermore, the treatment with MT induced an increase in total phenolic and flavonoid content of fresh-cut G. elata and enhanced the activity and expression of key enzymes involved in phenylpropanoid pathway (phenylalanine ammonia-lyase, cinnamate-4-hydroxylase, 4-coumarate: CoA ligase). In summary, MT enhances the antioxidant capacity by activating both ROS metabolism and phenylpropanoid pathway, thus maintaining the quality of fresh cut G. elata.
Segmentation of the Left Ventricle Using Improved UNET Neural Networks
Authors: Bekkouche Amina , MERZOUG Mohammed , HADJILA Fethallah , DAOUD Omar
Published: August 2023

The automatic diagnosis of cardiovascular diseases has received much attention in the deep learning field. In this context, the segmentation of the left ventricle endocardium constitutes a major task in diagnosing heart conditions such as health failure and hypertrophic cardiomyopathy. The objective of this paper is to propose a "deep convolution network" for segmenting the internal cavity of the left ventricle (endocardium) using MRI images. In particular, we design an improved UNET model which handles additional inception modules for efficiently segmenting the internal cavity of the left ventricle. Our approach has been validated on the Sunnybrook Cardiac Data (SCD) dataset and has showed promising results in terms of precision. More specifically, the improved UNET largely outperforms the baseline UNET model and many existing state-of-the-art methods.
Research Progress on the Effect of Nitrogen on Rapeseed between Seed Yield and Oil Content and Its Regulation Mechanism
Authors: Zhu Jiarong , Dai Wenjun , Chen Biyun , Cai Guangqin , Wu Xiaoming , Yan Guixin
Published: August 2023

Rapeseed (Brassica napus L.) is one of the most important oil crops in China. Improving oil production of rapeseed is an important way to ensure the safety of edible oil in China. Oil production is an important index to reflect the quality of rapeseed and is determined by oil content and yield. Applying nitrogen is an important way to ensure a high yield. However, increasing nitrogen application would decrease oil content. Thus, it is critical to screen elite germplasm resources with stable or improved oil content under high nitrogen and to investigate the molecular mechanisms of nitrogen regulation of oil accumulation. In this paper, we review the effects of nitrogen levels on rapeseed yields and oil content, aiming to reveal the mechanisms of nitrogen regulation in oil accumulation and thereby provide a theoretical basis for breeding varieties with high oil content.
DSW-YOLOv8n: A New Underwater Target Detection Algorithm Based on Improved YOLOv8n
Authors: Liu Qiang , Huang Wei , Duan Xiao qiu , Wei Jiang hao , Hu Tao , Yu Jie , Huang Jia huan
Published: August 2023

Underwater target detection is widely used in various applications such as underwater search and rescue, underwater environment monitoring, and Marine resources survey. However, the visibility of the underwater environment and the accuracy of target detection can be affected by complex underwater light changes and unpredictable background noise. To address these issues, we propose an improved underwater target detection algorithm based on YOLOv8n. Our algorithm focuses on three aspects. Firstly, we replace the original C2f module with Deformable Convnets v2 to enhance the adaptive ability of the target region in the convolution check feature map and extract the target region's features more accurately. Secondly, we introduce SimAm, a non-parametric attention mechanism, which can deduce and assign three-dimensional attention weights without adding network parameters. Lastly, we optimize the loss function by replacing the CIOU loss function with the Wise-IOU loss function. To conduct our experiments, we create our own dataset of underwater target detection for experimentation. Meanwhile, we also utilized the Pascal VOC dataset to evaluate our approach. The mAP@0.5 and mAP@0.5:0.95 of the original YOLOv8n algorithm on the underwater target detection were 88.6% and 51.8%, respectively, and the improved algorithm mAP@0.5 and mAP@0.5:0.95 can reach 91.8% and 55.9%. The original YOLOV8n algorithm was 62.2% and 45.9% mAP@0.5 and mAP@0.5:0.95 on the Pascal VOC dataset, respectively. The improved YOLOV8n algorithm mAP@0.5 and mAP@0.5:0.95 were 65.7% and 48.3%, respectively. The floating-point computation volume of the model is reduced by about 6%. The above experimental results prove the effectiveness of our method.
From Radio to In-Pipe-Acoustic Communication for Smart Water Networks in Urban Environments: Design Challenges and Future Trends
Authors: Fishta Markeljan , Raviola Erica , Fiori Franco
Published: August 2023

The smart management of water resources is an increasingly important topic in today's society. In this context, the paradigm of Smart Water Grids (SWGs) aims at a constant monitoring through a network of smart nodes deployed over the water distribution infrastructure. In such a way, a continuous assessment of water quality and state of health of the pipeline infrastructure can be achieved, allowing an early detection of leaks and water contamination. Acoustic wave-based technology has arisen as a viable communication technique among the nodes of the network. Such technology can be suitable to replace traditional wireless networks in SWGs, as the acoustic channel is intrinsically embedded in the water supply network. However, the fluid-filled pipe is one of the most challenging media to be employed for data communication. This paper aims at reviewing those works dealing with acoustic-based communication networks in real large-scale urban water supply networks. An overview on the characteristics, trends and design challenges of existing works is provided as a guideline for future research.
Research on Electro-Mechanical Brake Systems Control Method for Mine Underground Electric Trackless Rubber-Tired Vehicle
Authors: Li Jian , Xiao Xingmin , Li Zhong kai , Ma Chi
Published: August 2023

Electro-mechanical braking(EMB) which represents development direction of autonomous and intelligent braking plays very useful role on enhancing the braking response performance and intelligence level for mine underground electric trackless rubber-tired vehicle (ETRV). However,there is no Electro-Mechanical Brake system applied practically in coal mine UTRV until now.The accurate control of braking clamping force can determine the length and precision of braking distance of mine ETRV.In addition,because of poor working conditions in underground coal mine tunnel ,braking clamping force sensor may be easy to occur failure,which may cause vital accident.Therefore,A cascaded three-closed-loop EMB system with a positive clamping force sensor or force estimator built for ETRV is established to achieve autonomous elimination and reset of braking clearance and reliable braking force tracking ability via utilizing the electro motor rotor angle displacement and hysteresis effect of mechanical components in this EMB.The results of simulation and experiment indicate that clamping force response is faster than traditional hydraulic disk braking system and proposed force estimator presents good fault-tolerant ability when sensor is fault.This EMB can replace the current hydraulic brake system to enhance automation level of braking control for ETRVs and braking force response performance, reduce oil pollution and cost of maintenance, which is also key technology support for really precise motion control of mine autonomous driving vehicles.
Effects of Age and Season on Blood Parameters of Domesticated Giant Pandas
Authors: Jiang Ruijie , Zhang Xinyi , Fan Kai , Xia Maohua , Zhao Sufen , Wang Yunsheng , Pu Tianchun , Zhang Chenglin , Wu Zhong , Xu Haihong
Published: August 2023

The giant panda (Ailuropoda melanoleuca) is one of the most endangered species of land mammals and has significant academic research value worldwide. The evaluation of hematological parameters in giant pandas is important for assessing the physiological status of animals. This study collected blood samples from 12 healthy giant pandas from September 2018 to August 2020 under non-anesthetic conditions. The samples were then analyzed for basic blood indices and blood rheology, and normal values for hematological parameters and blood rheology under non-anesthetic conditions in giant pandas in Beijing area were obtained. The study confirmed the influence of age and season on hematological and biochemical parameters in captive giant pandas: hematological morphology, blood rheology, and serum enzymes showed seasonal variations, while age affected the changes in serum enzymes, serum protein content, and serum metabolite content. There are significant differences in blood indicators among different age groups of giant pandas, indicating variations in the overall metabolic processes and differences among pandas of different age groups. Seasonal variations showed a regulatory effect on blood rheology parameters and a negative effect on blood viscosity. Further research should be conducted to investigate whether factors such as season and climate cause environmental stress in captive giant pandas. The results obtained in this study aim to better protect the stability of the giant panda population and provide references for the appropriate feeding and medical care of captive giant pandas.
Wet Age-Related Macular Degeneration (wAMD) Risks and Benefits of Cataract Surgery
Authors: Vingolo Enzo Maria , Nebbioso Marcella
Published: August 2023

Background: Cataract and Age-related Macular Degeneration are two characteristic diseases of the so-called elderly age (75-90 years and older). Both determine an important visual impairment, so it is often difficult to understand how much of the visual loss is given by the cataract opacities and how much by the degeneration of the macula and this assumes a relevant medico-legal query in clinical practice.
Methods: From that pool we randomized in group 735 eyes with wAMD (males 328, females 407) Average age: 76.23±13.87 years, and in Group 819 eyes without clear signs of wAMD (males 361, females 451) Average age: was 75.88±18.21 years to randomize them we used the online randomization program (http://www.graphpad.com/quickcalcs/index.cfm) selecting random numbers and then randomly assign subjects to groups to undergo our observational study. All patients were examined with full ophtalmological visit including Best Corrected Visual Acuity (with Bailey-Lawson Chart), Anterior Segment examination, Fundus Examination, in all cases with wAMD was also performed OCT. ANOVA multifactorial statistical analysis was drawn.
Results: number of patients with unsatisfactory surgery is significantly higher in the group of AMD patients, and this is easily understandable from what has been said above, but I would like to underline that in most patients there are very positive results, therefore cataract surgery is also indicated in AMD patients.
Conclusions: Cataract surgery has a positive impact on the patient's life in most cases, you shouldn't be afraid to operate. However, it is necessary to find surgical measures capable of minimizing the consequences of the intervention on the retina.
TFF1—A New Biomarker in Liquid Biopsies of Retinoblastoma under Therapy
Authors: Busch Maike Anna , Haase André , Alefeld Emily , Biewald Eva , Jabbarli Leyla , Duenker Nicole
Published: August 2023

Effective management of retinoblastoma (RB), the most prevalent childhood eye cancer, depends on reliable monitoring and diagnosis. A promising candidate in this context is the secreted trefoil family factor peptide 1 (TFF1), recently discovered as a promising new biomarker in patients with a more advanced subtype of retinoblastoma. The present study investigated TFF1 expression within aqueous humor (AH) of enucleated eyes and compared TFF1 levels in AH and corresponding blood serum samples from RB patients undergoing intravitreal chemotherapy (IVC). TFF1 was consistently detectable in AH, confirming its potential as a biomarker. Crucially, our data confirmed that TFF1 secreting cells within the tumor mass originate from RB tumor cells, not from surrounding stromal cells. IVC therapy responsive patients exhibited remarkably reduced TFF1 levels post-therapy. By contrast, RB patients` blood serum displayed low to undetectable levels of TFF1 even after sample concentration and no therapy-dependent changes were observed. Our findings suggest that compared to blood serum AH represents the more reliable source for TFF1 if used for liquid biopsy RB marker analysis in RB patients. Thus, analysis of TFF1 in AH of RB patients potentially provides a minimal invasive tool for monitoring RB therapy efficacy, suggesting its importance for effective treatment regimens.
Humanized and Defucosylated Antibody against Podoplanin (humLpMab-23-f) Exerted Antitumor Activities in Human Tumor Xenograft Models
Authors: Suzuki Hiroyuki , Ohishi Tomokazu , Kaneko Mika K. , Kato Yukinari
Published: August 2023

We previously developed a highly sensitive and specific anti-PDPN mAb, LpMab-23 (mouse IgG1, kappa). In this study, we produced a humanized IgG1 version (humLpMab-23) and its defucosylated form (humLpMab-23-f) of an anti‑PDPN mAb to potentiate the ADCC activity. The humLpMab-23 could recognize PDPN‑overexpressed Chinese hamster ovary (CHO)-K1 (CHO/PDPN) and PDPN-positive PC-10 and LN319 cells by flow cytometry. Furthermore, we found that humLpMab-23-f exerted ADCC and complement-dependent cytotoxicity against CHO/PDPN, PC-10 and LN319 cells in vitro and exhibited potent antitumor activities in the xenograft models. These results indicated that humLpMab-23-f could be useful for an antibody treatment regimen for PDPN-positive human cancers.
Experimental evaluation of conducted disturbances induced during high frequency switching of active components
Authors: Slimani H. , Zeghoudi A. , Bendaoud A. , Bechekir S.
Published: August 2023

Introduction. Power electronics devices are among the most widely used equipment in all fields. The increasing performance of these devices makes their electromagnetic interference factor very important. On the other hand, electromagnetic compatibility research is more and more interested in studies on the sources of electromagnetic disturbances, their propagation paths and the methods of reducing these electromagnetic disturbances. The purpose is to study the behavior of the various active power components at high frequency as well as the evaluation of their electromagnetic noise by using simulation and experimental measurement. Methods. In first time, the simulation was realized with the Lt-spice software which presents many advantages in its use and we validate in the second time the results obtained with experimental measurements. We start by study of the behavior of the diode, then the behavior of MOSFET transistor and finally the study of the behavior of the IGBT transistor. Results. All the simulations were performed using the Lt-spice software and the results obtained are validated by experimental measurements performed in the APELEC Laboratory at the University of Sidi Bel-Abbes in Algeria. The waveforms of the current and voltage across each component during its opening are presented. The results of the simulations are compared and validated with the realized measurements in order to better present the influence of the fast switching of semiconductors on the electrical quantities, which causes electromagnetic disturbances in the interconnected electrical system.
Determination of the probability of a lightning strike in the elements of the object taking into account the statistical distribution of the current value
Authors: Kniaziev V. V.
Published: August 2023

Problem. Modern international standards in the field of lightning protection, when assessing the probability of a lightning strike into an object, do not take into account the statistical distribution of the lightning current. Goal. Justification of the expediency of taking into account the statistical distribution of the lightning current with a determined probability of lightning striking the elements of the object, and the effectiveness of the application of the improved «rolling sphere» method. Methodology. Method of mathematical modeling, based on RSM with additional consideration of the probability distribution of lightning current. Results. The expediency of taking into account the statistical distribution of lightning current at the determined probability of lightning striking the elements of the object has been proven. The effectiveness of the improved «rolling sphere» method, implemented in the form of a computer program, which takes into account the given probability distribution of lightning current in the range from 2 kA to 200 kA, has been proved. The expediency of introducing the concept of «average value of the area of the collection area» is substantiated, taking into account the probability of lightning with a current in a given range. It has been established that the application of the standardized formula leads to a significant (many times) overestimation of the predicted number of lightning strikes to the object, if the height of the object exceeds 20 m. The reasons for the difference, according to the author, are due to the following properties of the standardized methodology: usually, the real shape of the object is not taken into account; statistical distribution of lightning current is not taken into account; it is based on the results of experimental studies obtained mainly for mast or rod-type objects in laboratory conditions with a limited discharge interval. Practical value. This approach will provide an opportunity to optimize the layout of lightning arresters during the restoration of objects, taking into account green reconstruction. The obtained results are proposed for consideration by the Technical Committee TC 81 IEC for inclusion in the next editions of the standards.
Transmission line planning using global best artificial bee colony method
Authors: Desai J. P.
Published: August 2023

Introduction. Network expansion, substation planning, generating expansion planning, and load forecasting are all aspects of modern power system planning. The aim of this work is to solve network planning considering both future demand and all equality and inequality constraints. The transmission network design problem for the 6-bus system is considered and addressed using the Global Best Artificial Bee Colony (GABC) method in this research. The program is written in the Matrix Laboratory in MATLAB environment using the proposed methodology. Novelty of the work consist in considering the behavior of bees to find food source in most optimized way in nature with feature of user based accuracy selection and speed of execution selection on any scale of the system to solve Transmission Lines Expansion Problem (TLEP). The proposed method is implemented on nonlinear mathematical function and TLEP function. When demand grows, the program output optimally distributes new links between new generation buses and old buses, determines the overall minimum cost of those links, and determines if those linkages should meet power system limits. Originality of the proposed method is that it eliminated the need of load shedding while planning the future demand with GABC method. Results are validated using load flow analysis in electrical transient analyzer program, demonstrating that artificial intelligence approaches are accurate and particularly effective in non-linear transmission network planning challenges. Practical value of the program is that it can use to execute cost oriented complex transmission planning decision.
UTILIZATION OF GAMASIS (ISLAMIC CHILDREN'S GAMES) WITH WORDWALL WEBSITE AS LEARNING MEDIA IMPLEMENT LEADERSHIP OMAR BIN KHATTAB IN CLASS 6 SD
Authors: Fadhila Tunissa Izmi , Siti Salamah  , Ayu Nabila Wiramanggala  , Alda Dwi Aprilianti  , Ani Nur Aeni
Published: August 2023

Di era Pendidikan modern ini media pembelajaran tidak bisa terlepas dari berlangsungnya proses pembelajaran di sekolah dasar. Penelitian ini bertujuan untuk meningkatkan Pendidikan politik dalam perspektif islam pada kepemimpinan Umar bin Khattab menggunakan Games Anak Islami (GAMASIS) di Kelas 6 SDN Narawita 02. Fokus penelitian ini adalah untuk meningkatkan jiwa kepemimpinan peserta didik di SD sesuai dengan kepemimpinan Umar bin Khattab. Penelitian ini merupakan penelitian kualitatif dengan metode D&D dan model ADDIE. Subjek penelitian ini adalah peserta didik Kelas VI SDN Narawita 02 yang berjumlah 27 orang. Indikator keberhasilan dalam penelitian dapat diukur dari perolehan skor ketepatan jawaban dalam menjawab soal kepemimpinan Umar bin Khattab di website Wordwall. Hasil penelitian menunjukan bahwa 98% kualitas media pembelajaran dengan kriteria sangat baik hal ini dinyatakan relevan pada hasil penelitian dan validasi guru Pendidikan Agama Islam (PAI) di SDN Narawita 02, serta media pembelajaran Games Anak Islami (GAMASIS) layak digunakan dan tidak perlu melakukan revisi.
ASESMEN KOMPETENSI MINIMUM (AKM) KELAS SEKOLAH DASAR SEBAGAI SARANA EVALUASI KEMAMPUAN LITERASI DAN NUMERASI SISWA
Authors: Chesa Nabilla , Binti Azizatun Nafi’ah
Published: August 2023

Salah satu kebijakan pemerintah yang dikeluarkan oleh Kementerian Pendidikan dan Kebudayaan untuk meningkatkan mutu pendidikan di Indonesia adalah melalui kebijakan kurikulum merdeka belajar. Pada kebijakan ini berisi pokok penilaian yang meliputi literasi dan numerasi. Seperti yang diketahui pandemi membawa dampak yang signifikan terhadap kualitas pendidikan di Indonesia, oleh sebab itu dalam kebijakan ini pemerintah mengadakan Asesmen Kompetensi Minimum (AKM) Kelas yang merupakan alat yang dapat digunakan oleh guru dalam menganalisis hasil belajar setiap siswa disekolah dasar. Hal ini tentu penting untuk mengetahui kompetensi yang dimiliki siswa setelah melaksanakan pembelajaran jarak jauh. Penelitian ini menggunakan metode penelitian kuantitatif. Penelitian ini memiliki tujuan untuk menganalisis dan mengetahui hasil dari penerapan  Asesmen Kompetensi Minimum (AKM) Kelas. Hasil dari penelitian ini diharapkan berdasarkan pelaksanaan program ini dapat mempermudah guru dalam mengevaluasi hasil belajar siswa dan dapat mempermudah guru untuk menyusun pembelajaran sesuai dengan kebutuhan siswa yang berdasarpada hasil assesmen.
PENGELOLAAN DANA BANTUAN OPERASIONAL SEKOLAH (BOS) DI SD NEGERI SENDANGHARJO NGASEM KABUPATEN BOJONEGORO
Authors: Susanti Putri , Nafi’ah Binti Azizatun
Published: August 2023

Kebijakan pemerintah dalam upaya peningkatan Pendidikan di Indonesia adalah dengan kebijakan Bantuan Operasional Sekolah (BOS). Pengelolaan BOS sendiri merupakan tanggung jawab dari Kepala Sekolah, Bendahara Sekolah dan juga Komite Sekolah. Tujuan dari penelitian ini adalah untuk menganalisis pengelolaan dana Bantuan Operasional Sekolah (BOS) di SD Negeri Sendangharjo Ngasem Kabupaten Bojonegoro dari tahap perencanaan, pelaksanaan dan juga pelaporan. Metode penelitian yang digunakan penulis adalah jenis pendekatan deskriptif dengan pendekatan kualitatif, yaitu data yang diperoleh penulis merupakan dari pengumpulan data dan literatur lainnya. Mendeskripsikan keadaan SD Negeri Sendangharjo Ngasem Kabupaten Bojonegoro dalam mengelola dana Bantuan Operasional Sekolah (BOS). Jenis data yang digunakan adalah data primer dan sekunder. Data primer merupakan data yang diperoleh dari wawancara dengan bendahara sekolah. Data sekunder merupakan data yang sudah pernah dikumpulkan sebelumnya bisa melalui buku, artikel, jurnal dan lainnya.  Hasil penelitian menunjukkan bahwa pengelolaan dana BOS di SD Negeri Sendangharjo Ngasem Kabupaten Bojonegoro sudah sesuai dengan arahan dari Dinas Pendidikan Kabupaten Bojonegoro.
PEMBELAJARAN BERDIFFERENSIASI UNTUK MENINGKATKAN HASIL BELAJAR IPA MATERI RANTAI MAKANAN DI KELAS V SD NEGERI MAKASAR 06 PAGI
Authors: Sinaga Halasan
Published: August 2023

Penelitian ini bertujuan untuk mengetahui pembelajaran berdifferensiasi dapat meningkatkan hasil belajar IPA materi rantai makanan dalam ekosistem pada siswa kelas 5. Metode penelitian yang digunakan adalah pre-experimental design dengan one group pre-test post-test design. Sampel penelitian ini adalah peserta didik kelas 5 SD Negeri Makasar 06 Pagi di Jakarta Timur. Data dianalisis menggunakan uji t-test. Hasil penelitian menunjukkan adanya peningkatan yang signifikan dalam hasil belajar IPA pada materi rantai makanan dalam ekosistem setelah diterapkan pembelajaran berdifferensiasi. Ditunjukkan dari meningkatnya persentase ketuntasan, sebelumnya pada pra siklus ketuntasan 24%, setelah perbaikan pada siklus 1 ketuntasan sebesar 46% dan pada siklus 2 meningkat menjadi 92%. Oleh karena itu, dapat disimpulkan bahwa pembelajaran berdifferensiasi efektif untuk meningkatkan hasil belajar IPA pada materi rantai makanan dalam ekosistem pada siswa kelas 5.