bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPROVEMENT OF THE METHOD OF TESTING THE DYNAMIC PROPERTIES OF WHEELED MACHINES WITH THE USE OF ARTIFICIAL INTELLIGENCE
Authors: Molodan Andrii , Dubinin Yevhen , Klets Dmytro , Polyansky Oleksandr , Korobko Andriy , Baidala Vladyslava , Krasnokutsky Maksym
Published: March 2023

The method of testing vehicles for dynamic position stability has been improved, which makes it possible to assesstheir lateral stability when driving on irregularities. The dynamic stability coefficient is proposed for use as an assessmentcriterion. The application of the developed method allows to obtain an assessment of stability in real time during theoperation of transport means.The structural scheme has been developed to ensure the reliability of the operation of wheeled vehicle, based onreducing the influence of the driver's qualifications as an element of the "driver-vehicle-road conditions" system on itsposition stability, taking into account the results of monitoring the technical condition.To conduct experiments and evaluate the results, the mobile registration and measurement complex (MRMC) wasused to assess and improve the safety of exploitation of wheeled vehicles, taking into account modern means andapproaches. A single-board computer Raspberry Pi version 3B + serves as a platform for the mobile registration andmeasurement complex. The architecture of MRMC is modular; it supports the installation of additional inertial sensors,photo and video fixation devices, GPS, as well as devices compatible with USB. Operating system – Raspbian based onDebian distribution (GNU / Linux).To further automate the process of controlling a wheeled vehicle, the promising scheme for the operation of theregistration and measuring complex with elements of artificial intelligence was developed, which allows, without theparticipation of the driver, to carry out the necessary actions to control it and ensure, including operational safety.The results can be used to assess the suitability and performance of wheeled vehicles.
TELEMETRY SYSTEMS FOR MONITORING DYNAMIC LOADS ON TRANSMISSION SYSTEM SHAFTS
Authors: Cherkashyn Dmytro , Hubskyi Sergii , Chukhlib Vitalij
Published: March 2023

The article provides an overview of telemetry systems used to measure rotational vibrations in industrial sectors. Indications advantages and disadvantages of various principles of measurement and transmission of measured data from shafts rotating in the drive lines of rolling mills and transmission systems. The article describes the developed digital telemetry meters of rotational vibrations as part of a stationary dynamic load monitoring system with functions for diagnosing wear (angular gaps), which are used to monitor the torque, which helps prevent breakdowns, allows you to plan maintenance and increases productivity.
NUTRITIONAL PROBLEMS OF LARGE AND GIANT BREED DOGS. PART I. PUPPIES
Authors:   Department of Monogastric Animal Sciences, Division of Animal Nutrition and Food, West Pomeranian University of Technology in Szczecin, Poland, KĘPIŃSKA-PACELIK Jagoda , BIEL Wioletta ,   Department of Monogastric Animal Sciences, Division of Animal Nutrition and Food, West Pomeranian University of Technology in Szczecin, Poland
Published: March 2023

Feeding dogs is not a simple matter. Dogs are one of the most diverse animal species in the world. Thousands of years of evolution of the species of domestic dog (Canis lupus familiaris L.), have resulted in the fact that nowadays there are hundreds of dog breeds that differ not only in color, type of coat or character, but above all in size. No domestic animal has had a richer history of evolution in direct human contact than the domestic dog. Due to the growing awareness of the caregivers, the pet food market is changing dynamically. Foods are produced that are adapted to the dog’s age, lifestyle, physical activity and breed size. Despite this, often the animal’s diet is inadequate balanced. The caregivers make the mistake of choosing a food that is not adapted to the age and size of the dog. A common problem, for example, is to give puppy food to adult dogs of small breeds, although representatives of these breeds reach maturity more quickly than large breed dogs. Furthermore, the current nutritional guidelines do not provide recommended minimum and maximum amounts of any given nutrient based on the breed size of the dog. The purpose of this article is to characterize the most important nutrients, especially important in the nutrition of large and giant breed puppies.
COMPUTED TOMOGRAPHIC, ULTRASONOGRAPHIC AND RADIOGRAPHIC FEATURES OF CAPRINE CONGENITAL GOITER AND NORMAL THYROID GLAND IN 2-MONTH-OLD GOATS
Authors:   Department of Morphological Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland, PANKOWSKI Filip , BARTYZEL Bartłomiej J. ,   Department of Morphological Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
Published: March 2023

Goiter, that is enlargement of the thyroid gland, is one of the most common symptoms of thyroid disease in goats. It is usually caused by an iodine deficiency in the diet or the consumption of goitrogenic substances, less often by genetic factors. The development of diagnostic imaging in veterinary medicine and the increasing tendency of animal owners to perform imaging examinations create the need to describe diseases and normal organs in these examinations. The aim of the study was to present the ultrasonographic (US), computed tomographic (CT) and radiographic features of the congenital goiter and the normal thyroid gland in 2-month-old goats. The study was conducted on 18 female goats. Basic diagnostic imaging features of the thyroid gland, such as size, shape, echogenicity, echostructure and density were described. The thyroid gland with congenital goiter showed heterogeneous echostructure and reduced or normal echogenicity on US, reduced density on CT and soft tissue enlargement in the cranial neck area on radiography. Normal thyroid gland in 2-month-old goats on US had mean dimensions of 16 mm × 7 mm × 3.8 mm, homogeneous echostructure and echogenicity higher than the surrounding muscles. On CT, it had mean dimensions of 16.4 mm × 7.7 mm × 4.6 mm and mean density of 80.5 Hounsfield units (HU), while on radiography it couldn’t be differentiated from the surrounding soft tissues. US and CT enable visualization of the thyroid gland and can be used to diagnose congenital goiter in goats. The results of this study contribute to the knowledge of diagnostic imaging of the caprine thyroid gland.
EFFECT OF POLYMORPHISMS IN EXON 8 OF THE PPARGC1A GENE ON MILK PRODUCTION TRAITS IN CATTLE
Authors:   Department of Genetics, Faculty of Biotechnology and Animal Breeding, West Pomeranian University of Technology, Szczecin, Poland, ŚPIEWAK Magdalena , KOWALEWSKA Inga ,   Department of Genetics, Faculty of Biotechnology and Animal Breeding, West Pomeranian University of Technology, Szczecin, Poland, CZERNIAWSKA-PIĄTKOWSKA Ewa ,   Department of Ruminant Science, Faculty of Biotechnology and Animal Breeding, West Pomeranian University of Technology, Szczecin, Poland
Published: March 2023

The objective of this study was to investigate associations between genotypes of polymorphisms in exon 8 of the PPARGC1A gene and milk production traits in dairy cattle. The study was conducted in a herd of 959 Polish Holstein-Friesian of the black and white cows kept in western Poland. In this study, three polymorphisms within exon 8 of the PPARGC1A gene were analyzed: rs445204772, rs109164431 and rs133669403 and they are responsible for two missense and one synonymous type mutations. All cows were genotyped using the PCR-RFLP method. The PPARGC1A polymorphisms that were studied had the following major allele frequencies: rs445204772 – allele A 0.523; rs109164431 – allele C 0.607 and rs133669403 – allele A 0.546. Statistical analysis was aimed at estimating the effect of individual genotypes on milk performance traits such as milk, protein, and fat yield as well as protein and fat content in milk. For rs445204772 polymorphism, a statistically significant effect on milk yield (P ≤ 0.05) and fat content (P ≤ 0.05, P ≤ 0.01) was observed. Polymorphism rs109164431 significantly (P ≤ 0.05, P ≤ 0.01) affected milk, fat, and protein yield as well as milk fat content. In the case of polymorphism rs133669403, it was found that it affects to a different degree (P ≤ 0.05, P ≤ 0.01) most of the analyzed milk performance traits. The obtained results may contribute to the state of knowledge regarding the identification of the most important SNPs that could be used for the selection of marker assisted dairy cattle.
Salt Packaging Redesign Using Quality Function Deployment (Qfd) Method to Increase Sales (Case Study: Saboh Hate Farmers Group, Kuala Idi Cut, East Aceh)
Authors: Saputra Dian , Handayani Nurlaila , Yusnawati
Published: March 2023

Salt is one of the great potentials on the coast of East Aceh Regency which can be developed to boost the economic growth of the community. The location of the research was carried out in the Saboh Hate group located in Darul Aman District, Kuala Idi Cut Village, Aron Muda Hamlet, East Aceh Regency, Aceh Province. Currently, the salt on the market has an attractive packaging design, while the Saboh Hate Farmers Group does not yet have a good or simple packaging, so research is needed to design packaging that can increase competitiveness. The purpose of this study is to determine the characteristics of the salt packaging that consumers want at the Saboh Hate Farmer Group through packaging redesign. The method used is statistical test and Quality Function Deployment (QFD). The research phase includes observation and interviews through questionnaires and processing data through statistical tests, SPSS 20 and House of Quality (HOQ). The results show the characteristics of the salt packaging that consumers want based on the relative weight results including the information needed for salt packaging including weight, halal brand and logo with a value of 28.28%, the salt packaging material used is ordinary clear plastic with a value of 24.27%, The color of the desired salt packaging design is blue with a value of 23.71 and the size of the salt packaging that consumers want is generally a 250 g package with a value of 23.71%.
Frecuencia, características clínicas y factores asociados de lesiones en piel causadas por medidas de prevención adoptadas por médicos y enfermeras durante la pandemia de COVID-19 en Trujillo, Perú
Authors:   , Eslava Alzamora Cynthia Marianella , Rodriguez Becerril Ines de Jesus
Published: March 2023

Objetivo: Evaluar la frecuencia y características clínicas de lesiones de piel causadas por medidas de prevención adoptadas por médicos y enfermeras de una ciudad en Perú durante la pandemia de COVID-19 y caracterizar los factores asociados a la presencia de lesiones en piel por el uso de equipos de protección personal-EPP. Materiales y Métodos: Se realizó un estudio observacional, analítico, prospectivo y transversal en médicos y enfermeras de establecimientos de salud de la ciudad de Trujillo, Perú, que adoptaron medidas de prevención de infecciones como lavado de manos y uso de EPP en tiempos de pandemia de COVID-19. Los datos se recopilaron mediante un cuestionario en línea, validado por juicio de expertos, autoadministrado en los meses de noviembre y diciembre del 2020. Resultados: La muestra incluyó a 256 trabajadores, 184 (71.88%) de género femenino, 131 (51.17%) médicos y 125 (48.83%) enfermeros, la edad promedio fue de 39.17 años (DE: 9.52). La frecuencia de lesiones en piel fue de 67.97%. Las lesiones aparecieron en mayor frecuencia frente al uso de EPP durante más de 6 horas al día, en el género femenino, en enfermeros y en personal trabajador de establecimientos de salud estatales. Conclusiones: Existe asociación entre la presencia de lesiones en piel y el uso de EPP durante períodos prolongados, por lo que se recomienda adoptar medidas para la protección de zonas del rostro con mayor contacto con los EPP, utilizando productos de protección idóneos y evitando el contacto repetido en zonas ya lesionadas.
A Kind of Actuator for Shaft Torsional Vibration Active Control
Authors: Luo Qing , Fan Wen-Kun , Hu Jie , Dong Jia-Xin , Wang Jiao
Published: March 2023

The output torque of engine, propeller and other power sources in the operation process contains multi harmonic fluctuation components, which constitutes the main source of torsional vibration of shafting, and stimulate other vibration coupled with torsional vibration. This paper introduces a new method to solve torsional vibration of shafting system based on the line spectrum active control. It mainly includes: multi-body dynamic analysis model to reveal the coupling characteristics of torsional vibration and vibration in other directions; Aiming at the characteristic that the multi-harmonic vibration active control system for complex shafting systems may be equipped with several actuators, a new cross-coupled multi-channel line spectrum active control algorithm is proposed; A new type of torque actuator, the internal electromagnetic structure contains a relatively rotating stator and rotor. They are connected with springs. The whole can rotate with the shafting. The dynamic torque is issued according to the command of the active control system, in order to suppress the torque fluctuation due to the power sources, and greatly reduce the torsional vibration of the shafting.
Prediction of radioactive materials distribution from a hypothetical accident in Akkuyu NPP
Authors: Abbasi AKBAR
Published: March 2023

The Akkuyu nuclear power reactor (NPP), a new power reactor in the Mediterranean sea coast, which the plant is scheduled to be operational by 2023. In this research, a Lagrangian particle dispersion model HYSPLIT 3.1 was used to predict air dispersion and sea-level deposition of radioactive elements released from a hypothetical accident at Akkuyu NPP. Nuclear Regulatory Commission (NRC) library data was used to compute the source term for this approach. The simulations indicated that volumetric concentration levels exceeding 8.9 E+5 MBq/m3 were observed after fifteen minutes before the accident. The maximum deposition value of 11 MBq/ m2 was found in 1 h intervals at 18 km in the east direction of the site. Also, the trajectory of particle position shows that about 76% of the particles are distributed in the less than 5000 m layers and 26% in the more than 5000 m layers in all simulation time. The TED calculation indicates that the maximum dose (9.8E+1 Sv) occurred in the first day of the accident in 0.5 km of the reactor.
A Pattern in Nucleon Number and a Nuclear Structure Model
Authors: Lin Jingfeng , Lin Guangyi
Published: March 2023

This paper presents a discovery of an interesting pattern in the nucleon number of certain even-even nuclides with the highest isotopic abundance, which can be expressed as A=S(S+1)-2. The variable S represents a parameter of a specific type of shell structure, and this pattern is particularly evident in the heavy nuclear region. The paper proposes a shell-type nucleon arrangement scheme that can match both the A=S(S+1)-2 and A=S(S+1) patterns and contain closed-shell arrangements with magic numbers including 2, (4,) 8, 14, 20, 28, 50, 82, 126, as well as combinations such as 26+30, 40+50, 72+108, 82+126, 92+146, 108+162, and 120+184. Furthermore, a toroidal helical wave orbital model is introduced that matches the resulting arrangement scheme and mutually supports it. The purpose of this paper is to provide new insights into the structure of the nucleus.
Network design optimization of ELV recovery network using Genetic algorithm
Authors: Hafiz Azeem , Nair Manikantan , Fahad Mohammed , Alqahtani Mohammed
Published: March 2023

The concept of evolutionary computation in computational science was taken from the natural process of biological evolution, and this further led to the development of more advanced evolutionary algorithms to optimise complex problems. It is known that recycling and reusing help increase any organisation’s profit and take away environmental burdens. In this research work, we use a genetic algorithm, one such evolutionary algorithm, to find a solution to a mathematically modelled complex transportation network and efficiently manage the reverse flow of used vehicle parts. The model was developed only after considering all processes that affect the management of the reverse flow network. The research work aided in identifying the needful amount of facilities to efficiently handle the reverse flow of materials and parts. The results indicate that the mathematical model can be efficiently used to manage the reverse flow of materials and used components, thereby improving recycling efficiency in the application domain.
A self-supervised deep learning method for data-efficient training in genomics
Authors: Münch Philipp , Gündüz Hüseyin Anil , Binder Martin , To Xiao-Yin , Mreches René , Bischl Bernd , McHardy Alice , Rezaei Mina
Published: March 2023

While deep learning is frequently applied in bioinformatics, it is mostly limited to problems where huge amounts of labeled data are present to train a classifier in a supervised manner. Here, we introduce Self-GenomeNet– a method that utilizes unlabeled genomic data to address the challenge of limited data availability through self-training, outperforming the standard supervised training, even when using ~10 times less labeled data.
Effect of lactic acid bacteria on the structure and potential function of the microbial community of Nongxiangxing Daqu
Authors: Yang lei , Chen Jie , Li Zijian , gong Lijuan , Huang Dan , Luo Huibo
Published: March 2023

OBJECTIVES: The microbial community structure of the saccharifying starter, Nongxiangxing Daqu（Daqu）, is a crucial factor that determines the quality of Baijiu. lactic acid bacteria (LAB), the dominant microorganisms in the Daqu. The present study investigated the effects of LAB on the microbial community structure and its contribution to microbial community function during the fermentation of Daqu.
RESULTS: Box-line variance analysis shows that LAB showed a significant stage-specific succession pattern during Daqu fermentation. The LEfSe analysis and the random forest learning algorithm identified LAB as vital differential microorganisms during Daqu fermentation. The correlation co-occurrence network constructed based on Spearman's rank correlation coefficients showed aggregation of LAB and Daqumicroorganisms, indicating LAB’s significant position in influencing the microbial community structure. LAB showed negative correlations with Bacillus, Saccharopolyspora, and Thermoactinomycesbut positive correlations with Issatchenkia, Candida, Acetobacter, and Gluconobacter. The predicted genes of LAB enriched 20 functional pathways during Daqu fermentation, including Biosynthesis of amino acids, Alanine, aspartate and glutamate metabolism, Valine, leucine and isoleucine biosynthesis and Starch and sucrose metabolism, which suggested that LAB had the functions of polysaccharide metabolism and amino acid biosynthesis.
CONCLUSION: Thus, the study indicates that LAB is important in determining the composition and function of Daqu microorganisms，and also suggests that LAB are closely related to the production of nitrogenous flavor substances in Daqu. The study provides a foundation for further exploring the function of LAB and the regulation of Daqu quality.
Optimization of Manets Using Aomdv With Novel Aging Multi Population Strategy for Effectual Energy Utilization
Authors: R.S. Janani
Published: March 2023

In today’s world wireless technologies plays vital role for many real world applications particularly the Mobile Ad-hoc Network (MANET) with bidirectional transmission capacity through numerous intermediary nodes is having dynamic scope in near future. Whereas, packet collision is regarded as the most important restrictions in MANETs since nodes move randomly through the network at unpredictable speeds, increasing the likelihood of collision and degrading throughput, routing overhead, and end-to-end delay. Additionally, a topological shift and link instability caused by frequent node mobility lower the rate of data delivery. The probability of traffic crowding increases at the intermediary nodes due to limited possible routes to the destination network, which affects the successful delivery of packets, especially with real-world applications on MANETs. In the proposed work, a novel strategy of age to evaluate each particle's local area search capacity is anticipated with Aging Multi Population Optimization (AMPO). The particles are divided into distinct age groups according to their ages so that population variety can be maintained when searching. Particles within every group of age can only choose those in younger or from their own clusters / groups as preferred neighbors. To choose the optimum route to the destination, we optimise the many pathways that the Adhoc On-demand Multipath Distance Vector (AOMDV) mechanism returned. The most ideal route is thought to be the one with the highest value for fitness. In order to speed up convergence, we also create a parameter setting mechanism based on age groups, where particles in various age groups have distinct parameters. Finally, we evaluate our suggested approach in comparison to AOMDV-TA and EHO-AOMDV. For the performance assessment of the suggested model, network overhead, throughput, delay, energy usage, and delivery of packets range as vital aspects.
Field & Road-CENet: Semantic Segmentation for Agricultural Machinery Trajectory Segmentation
Authors: Huang Jiahua , Wan Chuanfeng , Wu Caicong
Published: March 2023

Agricultural machinery management is the key to agricultural production, andtrajectory segmentation lays an important foundation for machinerymanagement. For big data platform of agricultural machinery, it is hoped tosimultaneously improve both of segmentation accuracy and segmentationefficiency to satisfy the processing requirements. However, traditional machinelearning algorithms need to manually adjust parameters and do not integratemultiple features when dealing with trajectory segmentation. This paper aims atthe above problems by modifying the CE-Net model to improve the segmentationaccuracy and ensure the processing efficiency. A creative method for constructingtrajectory image from discrete trajectory data was developed in this paper. Thenew trajectory image showed both the temporal and the spatial characteristics ofthe operation. Then, a semantic segmentation algorithm, Field & Road- CENet,was put forward. The proposed algorithm modified the network CE-Net by addingtwo modules, Standard Convolution Residual Block and Global MaxpoolingAttention Mechanism, to fuse original feature information and enhance thesemantic expression of low-level feature maps. Two cotton sowing datasets werebuilt, including the meter level and the centimeter level. Experiment results showthat Field & Road-CENet performed well on both datasets. In the fieldsegmentation that is the most concerned, the identification accuracy reached97.8% and 95.2%, respectively, and the average accuracy of field and road was94.2% and 88.3%, respectively. In conclusion, this work verifies the feasibility ofusing semantic segmentation to realize trajectory segmentation of agriculturalmachinery. Compared with the current researches, the proposed method isapplicable to trajectory data with two precisions, which has stronger domaingeneralization ability. And it performs quite fast with an average inference time of 0.044 s for each image block, demonstrating that the proposed algorithm issuitable for the big data processing of agricultural machinery.
Influencing factors of stock returns based on Fama-French model and intelligent algorithm
Authors: Rui Xunyuan
Published: March 2023

Due to the large number of stock companies, complex stock categories and inconsistent evaluation standards of market value, it is not conducive to the choice of investors. Based on the theory and practice of traditional stock performance evaluation model, this paper integrates the algorithm thought structure of Fama-French five-factor model, and proposes a machine learning algorithm model for stock performance research. In addition, this paper also builds a model that can evaluate the style and timing ability of fund managers to improve the fund performance evaluation system to a greater extent. With the help of the performance evaluation updating function of the model, it provides a new experience material in the empirical research composition of the fund performance field. In the system test module, the former prediction data and the actual experimental data are integrated, and the two are sorted out and compared, which proves the feasibility and effectiveness of the proposed algorithm model. The final experimental results verify the usefulness of the model in stock return prediction and analysis of influencing factors.
HSP90 inhibition attenuated isoflurane-induced neurotoxicity in rat and human neuroglioma cells
Authors: Zhang Chunlu , Chen Xi , Zhang Wenjing , Liu Ruizhu , Zhao Guoqing
Published: March 2023

Background
HSP90 has been shown to play an important role in maintaining neuronal homeostasis under stressful conditions. However, the effect of HSP90 during isoflurane exposure is unknown. This study aimed to investigate the protective effect of HSP 90 inhibition following isoflurane exposure and elucidate the potential regulatory mechanisms in vivo and in vitro.
Methods
Isoflurane-induced hippocampal neuron injury model was established in aged male C57BL/6 mice. After pretreatment with HSP90 inhibitor 17 AAG, the mice were administrated to isoflurane inhalation. Human neuroblastoma SH-SY5Y cells were pretreated with 17AAG and exposed to isoflurane. The hippocampal neuronal injury in mice were examined by HE staining and immunofluorescent staining. Cell viability in SH-SY5Y cells was examined by CCK8 assay and trypan blue staining. Ferroptosis biomarkers were investigated by transmission electron microscopy, flow cytometry, and western blot. We also detected the CMA signaling pathway to test the effect of HSP90 in isoflurane-induced neurotoxicity.
Results
The HSP90 inhibitor, 17 AAG, reduced isoflurane-induced ferroptosis in the mouse hippocampus and cultured neuronal cells. Isoflurane activated the CMA pathway, which then mediated GPX4 degradation. 17 AAG contributed to the preservation of GPX4 activity at physiological levels under isoflurane exposure. In addition, 17 AAG inhibits CMA activity and GPX4 degradation by preventing the formation of complexes between HSP90 and LAMP2A, thereby affecting isoflurane-induced ferroptosis.
Conclusions
HSP90 inhibition protects against isoflurane-induced neurotoxicity in vivo and vitro via inhibition of CMA pathway and GPX4 degradation, which induced ferroptosis and thus neuronal cell death.
Ligand-based adoptive T cell targeting CA125 in ovarian cancer
Authors: Zhao Haihong , Wu Lina , Dai Jiemin , Sun Ke , zi Zhenguo , Guan Junhua , Zhang Liwen
Published: March 2023

Background: Ovarian cancer (OC) is a globally malignant gynecological disease with aggressive nature, most OC cases are diagnosed at late stages and the 5-year overall survival was less than 35% after conventional treatment. Furthermore, OC patients are rarely responsive to immune-check-point inhibitor therapy, and the efficacy of CAR-T therapy was also modest due to inefficient T cell infiltration. Hence, additional approaches to improve T cell traffic in OC tumor sites need to be developed.
Methods: In this report, based on the structure of the chimeric antigen receptor, we developed a novel adoptive T cell therapy with a ligand-receptor as the binding motif to improve CA125 targeting therapeutic effect against ovarian cancer. As mesothelin can naturally bind to CA125 with high affinity, the core-binding fragment of mesothelin was concatenated with 4-1BB and CD3ζ signal fragments to assemble a novel CA125-targeting chimeric receptor (CR). Meanwhile, the CAR structure targeting CA125 derived from the 4H11 antibody was also analogously constructed. CR and CAR coding RNA were electroporated into T cells to test their antitumor activity both in vitro and in vivo.
Results: While CR-T or CAR-T has shown moderate activity targeting two ovarian cancer cell lines, CR and CAR co-expressed T cells had a superior killing effect than T cells expressing CR or CAR alone. Upon interaction with ovarian tumors, the activation markers and functional cytokine release abilities were also significantly increased in CR and CAR co-expressed T cells. Similarly, CR and CAR co-expressed T cells could persistently control transplanted ovarian cancer tumor growth in NOD/SCID mice and prolong the overall survival of tumor-challenged mice. Transcriptome sequencing showed that survival and cytotoxicity properties of CR and CAR co-expressed T cells were significantly altered compared with T cells expressing CR or CAR alone.
Conclusion: Our work demonstrates that CA125 targeting CR and CAR can synergistically kill ovarian cancer, suggesting these two binding motifs simultaneously targeting CA125 on tumors may yield improved responses in ovarian cancer treatment.
Electron transport and scattering mechanisms in ferromagnetic monolayer Fe3GeTe2
Authors: Badrtdinov Danis , Pushkarev Georgy , Katsnelson Mikhail , Rudenko Alexander
Published: March 2023

We study intrinsic charge-carrier scattering mechanisms and determine their contribution to the transport properties of the two-dimensional ferromagnet Fe3GeTe2. We use state-of-the-art first-principles calculations combined with the model approaches to elucidate the role of the electron-phonon and electron-magnon interactions in the electronic transport. Our findings show that the charge carrier scattering in Fe3GeTe2 is dominated by the electron-phonon interaction, while the role of magnetic excitations is marginal. At the same time, the magnetic ordering is shown to effect essentially on the electron-phonon coupling and its temperature dependence. This leads to a sublinear temperature dependence of the electrical resistivity near the Curie temperature, which is in line with experimental observations. The room temperature resistivity is estimated to be ~$35 μΩ· cm which may be considered as an intrinsic limit for monolayer Fe3GeTe2.
Prediction of Crop Disease Using Rank Regressive Learning and Proaftn Fuzzy Classification Models
Authors: jayabrabhu saritha , Thangaraja Abel
Published: March 2023

Today, Machine Learning (ML) is driving the big variation covering significant industries. Agriculture is one industry where ML researchers are operating with farmers to assist farmers put together a better and more significant utilization of the dwindling resources owing to the metropolitan and big data concept. Nevertheless, plant disease, specifically crop plants, is an extensive menace as far as global food security is concerned. Diseases prevalent in plants at the first hand influence the fruit or grain quality, therefore resulting in the lessening of agricultural fertility. The conventional method of crop disease identification is performed via visual investigation. However, this type of process is said to be extremely incompetent and hence susceptible to the error with the inception of big data. Over the past few years, several works on ML techniques for crop disease prediction have been proposed. To overcome this proposed work, a novelty method called Rank Regressive Learning and Proaftn Fuzzy Classification - crop disease prediction with big data for soybean is proposed. The RRL-PFC crop disease prediction method is split into two sections. They are feature selection and crop disease prediction. Initially, raw data is obtained from the Soybean dataset (i.e., one of the crops utilized from crop yield), that are produced to input vector matrix. To choose the relevant features that are designed for categorizing crop disease, the Rank Regressive learning-based Feature Selection is applied than vector matrix as input. Finally, with the computationally efficient selected features, categorization of crop disease is made by means of Proaftn Fuzzy Classification-based Crop Disease Prediction in an accurate manner. The experimental evaluation of the proposed RRL-PFC method with respect to improved accuracy and lesser time, overhead, and error rate than the conventional methods.
Does Exploitation Reduce Carbon Storage? A Study on the Liao River Estuary Wetland
Authors: Pan Jingyu , Wang Guanxun , Yu Jing , Yan Wenwen , Gu Dongqi
Published: March 2023

There are many studies on carbon storage estimates, but only a few have shown an increase in carbon storage over time. The reasons for these increases are the positive ecological evolutions. The Liao River Estuary wetland is a unique area with “the more exploited, the higher carbon storage.” Based on remote sensing images and field surveys, we interpret the landscape type of the Liao River Estuary wetland. Furthermore, we estimate carbon storage and density evolution using the InVEST model. The results showed that 356.95 km2 of natural wetlands were transformed into artificial wetlands. The occupied natural wetlands were mainly tidal flats and reeds, which were mostly converted into paddy fields and aquaculture ponds. From 1980 to 2020, the changes in the carbon source and sink areas tended to be stable. The total carbon storage increased by 21.13×104 t. 1980–2010 was in the phase of land use exploitation, and the carbon storage increased by 57.37×104 t; 2010–2020 was in the ecological protection phase, and the carbon storage decreased by 36.25×104 t. It was because the core area with high carbon storage is well protected while exploiting the peripheral low-carbon area increased the carbon storage. It indicates that carbon storage capacity should not be directly related to the development degree and ecological environment value. Instead, it is necessary to calculate the area of natural and artificial wetlands and carbon storage separately, thereby confirming human disturbance and environmental value, etc. This paper demonstrates that development and carbon sequestration can be achieved simultaneously with proper land use planning, providing policy guidance for estuarine economic zones.
The growth and developmental outcomes of Hypoxic Ischemic Encephalopathy; Population-based study from 2010 to 2019
Authors: Park Joonsik , Park Sook Hyun , Kim Chloe , Yoon So Jin , Lim Joo Hee , Han Jung Ho , Shin Jeong Eun , Eun Ho Seon , Park Min Soo , Lee Soon Min
Published: March 2023

Despite advances in obstetric care, hypoxic ischemic encephalopathy (HIE) remains a significant disease burden. Using a national dataset, we determined the trends of HIE prevalence, the use of therapeutic hypothermia (TH), mortality, and outcomes from 2012 to 2019. This study included term infants diagnosed with HIE (International Classification of Diseases-10 code: G93.1) between 2012 and 2019 from the National Health Insurance Service database. The prevalence of HIE was 23.7 per 10,000 birth without significant change during the period. The mortality among all term infants with HIE was 4.6% (range: 3.1–6.2%). TH was performed in approximately 6.7% of infants with HIE and the annual variation was large, ranging from 2.4–12.5%. Infants with TH showed significantly higher mortality, nitric oxide usage, and invasive ventilator usage than those without TH. Infants with TH also showed significantly poorer outcomes including delayed development, cerebral palsy (CP), sensorineural hearing loss and seizure compared to infants without TH (p < 0.0001). With increasing application of TH, mortality and developmental outcomes among infants with HIE has been improving in the past eight years in Korea. Further efforts to improve outcomes should be needed.
Leveraging electronic health records to identify risk factors for recurrent pregnancy loss across two medical centers: a case-control study
Authors: Roger Jacquelyn , Xie Feng , Costello Jean , Tang Alice , Liu Jay , Oskotsky Tomiko , Woldemariam Sarah , Kosti Idit , Le Brian , Snyder Michael , Torgerson Dara , Shaw Gary , Stevenson David , Rajkovic Aleksandar , Glymour M. , Aghaeepour Nima , Cakmak Hakan , Lathi Ruth , Sirota Marina
Published: March 2023

Recurrent pregnancy loss (RPL), defined as 2 or more pregnancy losses, affects 5-6% of ever-pregnant individuals. Approximately half of these cases have no identifiable explanation. To generate hypotheses about RPL etiologies, we implemented a case-control study comparing the history of over 1,600 diagnoses between RPL and live-birth patients, leveraging the University of California San Francisco (UCSF) and Stanford University electronic health record databases. In total, our study included 8,496 RPL (UCSF: 3,840, Stanford: 4,656) and 53,278 Control (UCSF: 17,259, Stanford: 36,019) patients. Menstrual abnormalities and infertility-associated diagnoses were significantly positively associated with RPL in both medical centers. Age-stratified analysis revealed that the majority of RPL-associated diagnoses had higher odds ratios for patients <35 compared with 35+ patients. While Stanford results were sensitive to control for healthcare utilization, UCSF results were stable across analyses with and without utilization. Intersecting significant results between medical centers was an effective filter to identify associations that are robust across center-specific utilization patterns.
RETRACTED: Effects of epidural dexmedetomidine on perioperative hemodynamics in patients undergoing varicose vein surgery for the lower extremities: a prospective randomized, controlled, double-blind clinical trial
Authors: Zeng Sisi , Li Xuechao , Wang Na , Li Jiabei , Gao Luyue , Wan Jixiang , Yang Zhen , Wang Fangjun
Published: March 2023

The authors have requested that this preprint be removed from Research Square.
Impact of local delivery of allogenic chondrocytes on the biological response andhealing of the sternum bones after sternotomy
Authors: Krauze Agata , Fus-Kujawa Agnieszka , Bajdak-Rusinek Karolina , Uklejewicz-Żyła Dorota , Fernandez Carlos , Bednarek Ilona , Gałka Sabina , Sieroń Łukasz , Bogunia Edyta , Hermyt Mateusz , Nożyński Jerzy , Milewski Krzysztof , Czekaj Piotr , Wojakowski Wojciech
Published: March 2023

The median sternotomy is the incision of choice for many procedures where one of the major problems is the long post-operative wound healing process leading to sternal dissection and the development of infection. This leads to prolonged hospital stay and increased mortality from post-operative complications. A promising solution appears to be the use of allogeneic chondrocytes for wound treatment, whose properties for the reconstruction of cartilage structures are widely used in medicine, mainly in orthopedics. In the present study, we investigated the effect of local delivery of allogeneic chondrocytes on the biological response and healing of the sternum bone after sternotomy. We optimized the culture conditions for the isolated chondrocytes, which were then applied to the sternal incision wound. Chondrocytes in the culture were evaluated based on the presence of chondrocyte-specific genes: Sox9, aggrecan and collagen II. In turn, the histopathological and immunohistochemical evaluation was used to assess the safety of implantation. In our work, we demonstrated the possibility of obtaining a viable chondrocytes culture, which were successfully introduced into the sternal wound after sternotomy. Importantly, implantation of allogeneic chondrocyte showed no significant side effects. The obtained results open new possibilities for research on the use of allogeneic chondrocytes in the process of accelerating wound healing after central sternotomy.
The IMpact of PerioperAtive KeTamine on Enhanced Recovery after Abdominal Surgery (IMPAKT ERAS): protocol for a pragmatic, randomized, double-blinded, placebo-controlled trial
Authors: Raymond Britany L. , Allen Brian F.S. , Freundlich Robert E. , Parrish Crystal G. , Jayaram Jennifer E. , Wanderer Jonathan P. , Rice Todd W. , Lindsell Christopher J. , Scharfman Kevin H. , Dear Mary L. , Gao Yue , Hiser William D. , McEvoy Matthew D.
Published: March 2023

Background:

Multimodal analgesic strategies that reduce perioperative opioid consumption are well-supported in Enhanced Recovery After Surgery (ERAS) literature. However, the optimal analgesic regimen has not been established, as the contributions of each individual agent to the overall analgesic efficacy with opioid reduction remains unknown. Perioperative ketamine infusions can decrease opioid consumption and opioid-related side effects. However, as opioid requirements are drastically minimized within ERAS models, the differential effects of ketamine within an ERAS pathway remain unknown. We aim to pragmatically investigate through a learning healthcare system infrastructure how the addition of a perioperative ketamine infusion to mature ERAS pathways affects functional recovery.

Methods:

The IMPAKT ERAS trial (IMpact of PerioperAtive KeTamine on Enhanced Recovery after Abdominal Surgery) is a single center, pragmatic, randomized, blinded, placebo-controlled trial. 1544 patients undergoing major abdominal surgery will be randomly allocated to receive intraoperative and postoperative (up to 48 hours) ketamine versus placebo infusions as part of a perioperative multimodal analgesic regimen. The primary outcome is length of stay, defined as surgical start time until hospital discharge. Secondary outcomes will include a variety of in-hospital clinical end points derived from the electronic health record.

Discussion:

We aimed to launch a large-scale, pragmatic trial that would easily integrate into routine clinical workflow. Implementation of a modified consent process was critical to preserving our pragmatic design, permitting an efficient, low-cost model without reliance on external study personnel. Therefore, we partnered with leaders of our Investigational Review Board to develop a novel, modified consent process and shortened written consent form that would meet all standard elements of informed consent, yet also allow clinical providers the ability to recruit and enroll patients during their clinical workflow. Our trial design has created a platform for subsequent pragmatic studies at our institution.

Trial registration number:

NCT04625283, Pre-results
Protocol Version 1.0, 2021
Pan-cancer analysis of potential biological function and prognostic value of copper homeostasis related gene ferredoxin-1
Authors: Lu Shuai , Rao Benqiang , Yang Penghui
Published: March 2023

The copper-dependent programmed cell death known as cuprotosis is closely related to metabolic pathways. Ferredoxin 1 (FDX1) can reduce Cu2+to more toxic Cu+, and has a direct relationship with protein acylation, which jointly promotes the occurrence of cuprotosis. There is still no clear understanding of how FDX1 plays a role in pan-cancer biology. In this study, we explored how FDX1 functioned in human cancer and its role in immune regulation. Cancers such as clear cell renal cell carcinoma, lung cancer, liver cancer, and thyroid cancer demonstrate down-regulation of FDX1, and overexpression of FDX1 improves the prognosis of these patients. Furthermore, we performed qRT-PCR to verify the expression of FDX1 in colon cancer and liver cancer cell lines, along with their normal cell lines. In addition, we discussed the mutation status of FDX1 in human cancers, as well as its level of methylation and phosphorylation. FDX1 infiltration was significantly correlated with those of endothelial cells, cancer-associated fibroblasts, and monotype cells, as determined by analysis of immunocyte infiltration. The results of single cell sequencing showed that a key role played by FDX1 in inflammatory responses, DNA damage and other biological behaviors of cancer cells. It was concluded from the enrichment analysis of FDX1 and its co-expression gene that FDX1 regulates the lipid metabolism of cancer cells. In summary, our research comprehensively summarized the progress, prognosis, biological functions and immune response of FDX1 in human cancer.
Ethnicity- and Sex-Specific Genome-Wide Association Study on Parkinson’s Disease
Authors: Chung Sun Ju , Park Kye Won , Ryu Ho-Sung , Shin Eunsoon , Park YoonGi , Jeon Sang Ryong , Kim Seong Yoon , KIM JAE SEUNG , Koh Seong-Beom
Published: March 2023

Most previous genome-wide association studies (GWASs) on Parkinson’s disease (PD) focus on the European population. There are several sex-specific clinical differences in PD, but little is known about its genetic background. In this study, we aimed to perform an ethnicity-specific, and sex-specific GWAS on PD in the Korean population. A total of 1,050 Korean PD patients and 5,000 controls were included. For primary analysis, we performed a GWAS using a logistic additive model adjusted for age and sex. Same statistical models were also applied to sex-specific analyses. Genotyping was performed using a customized microarray chip that is optimal for the Korean population. Nine single nucleotide polymorphisms (SNPs) including four in the SNCA locus and three from the PARK16 locus were associated with PD in Koreans. The rs34778348 in the LRRK2 locus showed a strong association, though failed to pass cluster quality control. There were no notable genome-wide significant markers near the MAPT or GBA loci. In the female-only analysis, rs34778348 in LRRK2 and the four other SNPs in the SNCA showed strong association with PD. In the male-only analysis, no SNP surpassed the genome-wide significance threshold under Bonferroni correction; however, the most significant signal was rs708726 in the PARK16 locus. This ethnicity- and sex-specific GWAS on PD implicates the pan-ethnic effect of SNCA, universal but East-Asian inclined effect of PARK16, East Asian-specific role of LRRK2 G2385R variants, and the possible disproportionate effect of SNCA and PARK16 between sexes for PD susceptibility. These findings suggest the different genetic contributions to sporadic PD in terms of ethnicity and sex.
Identification and Validation of eight Lysosomes-related genes signatures and correlation with immune cell infiltration in Lung Adenocarcinoma
Authors: Song Dingli , Zhao Lili , Zhao Guang , Hao Qian , Wu Jie , Ren Hong , Zhang Boxiang
Published: March 2023

Background Lung cancer is the leading cause of cancer-related death. Lysosomes are key degradative compartments that maintain protein homeostasis. In current study, we aimed to construct an lysosomes-related genes signature to predict the overall survival (OS) of patients with Lung Adenocarcinoma (LUAD). Results An eight prognostic genes (ACAP3, ATP8B3, BTK, CAV2, CDK5R1, GRIA1, PCSK9, and PLA2G3) signature was identified and divided patients into high-risk and low-risk groups. The prognostic signature was an independent prognostic factor for OS (HR > 1, p < 0.001). The molecular function analysis suggested that the signature was significant correlated with cancer-associated pathways, including angiogenesis, epithelial mesenchymal transition, mTOR signaling, myc-targets. The low-risk patients had higher immune cell infiltration levels than high-risk group. We also evaluated the response to chemotherapeutic, targeted therapy and immunotherapy in high- and low-risk patients with LUAD. Furthermore, we validated the expression of the eight gene expression in LUAD tissues and cell lines by qRT-PCR. Conclusions LYSscore signature provide a new modality for the accurate diagnosis and targeted treatment of LUAD and will help expand researchers’ understanding of new prognostic models.