bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combined plasma treatment effects on growth and yield: second-generation potato (Solanum tuberosum L.) seeds
Authors: RASHID MAMUNUR , Talukder M. R. 
Published: November 2023

Abstract
Applications of plasmas in agriculture are fascinating researchers because of its potentiality. Plasmas are applied either for seed treatment or as foliar application of plasma-activated water (PAW) for studying agricultural yield. No work has been done so far to study the effects on growth parameters, enzymatic activities, nutritional parameters, and yield of potato (Solanum tubersum L.) grown from the second-generation seeds (G2) (seeds collected from the potato plants where foliar spray of PAW was applied). Two-fold plasma treatments were applied in this experiment: (a) potato seeds were treated in water with plasma and (b) foliar spray of PAW was applied to potato plants. Effects of plasma treatments were characterized by enzymatic activities, sugar and protein concentrations, potato plant growth and yield characters. The findings show that the plant length, stem diameter, fresh weight, and the concentrations of total chlorophyll and carotene are increased in the plants where G2 treated seeds along with foliar spray of PAWs were provided. Further, the concentrations of total soluble sugar, protein and minerals were increased. Besides, the yield of potato was enhanced by \(23.95\%\), and \(23.21\%\), respectively, in the plants where combined plasma treatments were used compared to controls of first-generation (G1) plasma treated and untreated seeds along with PAW foliar spray.
Bridging the Gap Between Microstructurally Resolved
Computed Tomography-Based and Homogenised
Doyle-Fuller-Newman Models for Lithium-Ion Batteries
Authors: Tredenick E. C. , Boyce A. M. , Wheeler S. , Li J. , Sun Y. , Drummond R. , Duncan S. R. , Grant P. S. , Shearing P. R. 
Published: November 2023

Abstract

Lithium-ion batteries (LIB) are synonymous with the modern age of electrification, yet advances in battery design, manufacturing, and chemistry are still urgently needed. Mathematical modelling plays an important role in understanding LIB performance and can provide physics informed design directions, optimisation and explain outcomes. We present an exploration and detailed comparison of the commonly used homogenised Doyle-Fuller Newman (DFN) model and the high fidelity X-ray computed tomography (CT) based microstructural model for LIBs. We provide insights into the relative benefits of each model and highlight why they are important to battery technology development. Alongside experiments, we use the models to explore and compare two common cathode chemistries, lithium nickel manganese cobalt oxide, Li[Ni0.6Co0.2Mn0.2]O2 (NMC622), and lithium iron phosphate, LiFePO4 (LFP), and investigate the influence of electrode thickness and discharge current density. The DFN and CT image-based models show good alignment for averaged LIB metrics, such as the voltage response and active material utilisation, demonstrating that homogenised, computationally inexpensive models are an essential basis for battery design and optimisation. The CT-based microstructural model provides further insight into localised particle and electrode dynamics, taking into account heterogeneities that are a source of battery degradation. Qualitatively, the models also compare well with experimental secondary ion mass spectrometry (SIMS) mapping of the Li concentration in the active particles across the electrode thickness.
A Novel Approach for Quantum Financial Simulation and Quantum State Preparation
Authors: Chang Yen Jui , Wang Wei-Ting , Chen Hao-Yuan , Laio Shih-Wei , Chang Ching-Ray 
Published: November 2023

Abstract

Quantum state preparation is a vital process in quantum computing and quantum information processing. The ability to accurately and reliably prepare specific quantum states is essential for a variety of applications. One of the promising applications of quantum computers is quantum simulation. This requires preparing a quantum state that represents the system we’re trying to simulate. This research introduces a novel simulation algorithm, the multi-Split-Steps Quantum Walk (multi-SSQW), designed to learn and load complicated probability distributions using parameterized quantum circuits (PQC) with a variational solver on classical simulators. The multi-SSQW algorithm is a modified version of the split-steps quantum walk, enhanced to incorporate a multi-agent decision-making process, rendering it suitable for modeling financial markets. The study provides theoretical descriptions and empirical investigations of the multi-SSQW algorithm to demonstrate its promising capabilities in probability distribution simulation and financial market modeling. Taking advantage of quantum computation, the multi-SSQW model's complex financial distributions and scenarios with high accuracy, providing valuable insights and mechanisms for financial analysis and decision-making. The multi-SSQW’s key benefits include its modeling flexibility, stable convergence, and instantaneous computation. These advantages underscore its rapid modeling and prediction potential in dynamic financial markets.
Based on Bioinformatics to Explore the Mechanism of “Tangzhiqing” Decoction Alleviating Type 2 Diabetes-associated Cognitive Dysfunction in Mice by Regulating Hippocampal Neuron Apoptosis and Autophagy
Authors: Shi Yinli , Sheng Pei , Zhao Yun , Wang Xu , Xu Xiru , Sun Sifan 
Published: November 2023

Background:
Diabetic cognitive dysfunction (DCD) is emerging as a chronic complication
of diabetes that is gaining increasing international recognition. The traditional Chinese
medicine (TCM) formulation, Tangzhiqing decoction (TZQ), has shown the capacity to modulate
the memory function of mice with DCD by ameliorating insulin resistance. Nevertheless, the
precise mechanism underlying the effects of TZQ remains elusive.

Methods:
The chemical constituents of TZQ were screened using TCMSP databases, and DCDassociated
disease targets were retrieved from various databases. Subsequently, core targets were
identified through network topology analysis. The core targets underwent analysis using Gene
Ontology (GO) functional annotations and enrichment in the Kyoto Encyclopedia of Genes and
Genomes (KEGG) pathways. Models were established through high-fat and high-glucose diet
feeding along with intraperitoneal injection of streptozotocin (STZ). TZQ and metformin were
administered at varying doses over 8 weeks. The Morris water maze was employed to evaluate
the cognitive capabilities of each rat group, while indicators of oxidative stress and insulin were
assessed in mice. Neuronal apoptosis in distinct groups of mice's hippocampi was detected using
TdT-mediated dUTP Nick-End Labeling (TUNEL), and western blot (WB) analysis was conducted
to assess the expression of apoptosis- and autophagy-related proteins, including Bax,
Bcl2, Caspase3, Caspase8, Beclin1, ATG7, LC3, p62, and Lamp2, within the hippocampus.

Results::
TZQ exhibited the capacity to modulate neuronal autophagy, ameliorate endoplasmic
reticulum stress, apoptosis, inflammation, and oxidative stress, as well as to regulate synaptic
plasticity and conduction. TZQ mitigated cognitive dysfunction in mice, while also regulating
hippocampal inflammation and apoptosis. Additionally, it influenced the protein expression of
autophagy-related factors such as Bax, Bcl2, Caspase3, Caspase8, Beclin1, ATG7, and LC3. Notably,
this modulation significantly reduced neuronal apoptosis in the hippocampus and curbed
excessive autophagy.

Conclusion:
TZQ demonstrated a substantial reduction in neuronal apoptosis within the hippocampus
and effectively suppressed excessive autophagy.
Development and Challenges of Cyclic Peptides for Immunomodulation
Authors: Jiang Xianqiong , Gao Li , Li Zhilong , Shen Yan , Lin Zhi-Hua 
Published: November 2023

Abstract:
Cyclic peptides are polypeptide chains formed by cyclic sequences of amide bonds between
protein-derived or non-protein-derived amino acids. Compared to linear peptides, cyclic
peptides offer several unique advantages, such as increased stability, stronger affinity, improved
selectivity, and reduced toxicity. Cyclic peptide has been proved to have a promising application
prospect in the medical field. In addition, this paper mainly describes that cyclic peptides play an
important role in anti-cancer, anti-inflammatory, anti-virus, treatment of multiple sclerosis and
membranous nephropathy through immunomodulation. In order to know more useful information
about cyclic peptides in clinical research and drug application, this paper also summarizes cyclic
peptides currently in the clinical trial stage and cyclic peptide drugs approved for marketing in the
recent five years. Cyclic peptides have many advantages and great potential in treating various diseases,
but there are still many challenges to be solved in the development process of cyclic peptides.
about cyclic peptides in clinical research and drug application, this paper also summarizes cyclic
peptides currently in the clinical trial stage and cyclic peptide drugs approved for marketing in the
recent five years. Cyclic peptides have many advantages and great potential in treating various diseases, but there are still many challenges to be solved in the development process of cyclic peptides.
Radioprotective Potency of Nanoceria
Authors: Alvandi Maryam , Shaghaghi Zahra , Farzipour Soghra , Marzhoseyni Zeynab 
Published: November 2023

Abstract:
Cancer presents a significant medical challenge that requires effective management.
Current cancer treatment options, such as chemotherapy, targeted therapy, radiotherapy,
and immunotherapy, have limitations in terms of their efficacy and the potential harm they
can cause to normal tissues. In response, researchers have been focusing on developing
adjuvants that can enhance tumor responses while minimizing damage to healthy tissues.
Among the promising options, nanoceria (NC), a type of nanoparticle composed of cerium
oxide, has garnered attention for its potential to improve various cancer treatment regimens.
Nanoceria has demonstrated its ability to exhibit toxicity towards cancer cells, inhibit invasion,
and sensitize cancer cells to both radiation therapy and chemotherapy. The remarkable aspect
is that nanoceria show minimal toxicity to normal tissues while protecting against various
forms of reactive oxygen species generation. Its capability to enhance the sensitivity of
cancer cells to chemotherapy and radiotherapy has also been observed. This paper thoroughly
reviews the current literature on nanoceria's applications within different cancer treatment modalities,
with a specific focus on radiotherapy. The emphasis is on nanoceria's unique role in
enhancing tumor radiosensitization and safeguarding normal tissues from radiation damage.
A Quick Review of the Prevalence of Important Infectious Poultry Diseases
all Around the World
Authors: Harat Siyavash Ghadiri , Ansari Fereshteh 
Published: November 2023

Abstract:
The poultry industry is one of the fastest growing industries in the world. Poultry
breeding has developed significantly to meet the food needs of the increasing population and it is
expected that this growth will continue in the coming years. Prevalent poultry diseases are of
great importance as they are responsible for vast economic losses and public health concerns.
They also affect the national and international trade of the poultry products. This review will
provide a quick and general view of different important poultry diseases for poultry breeders,
scientists and decision makers. Based on this review, Campylobacteriosis and infectious bursal
disease [IBD] in the Asian continent, and Campylobacteriosis, Newcastle disease [ND] and coccidiosis in the African continent were the most prevalent diseases. In Europe, Campylobacter
species and in America, Escherichia coli species are widespread in poultry meat. Infectious
Bronchitis [IB] in Europe and Coccidiosis in America were high-incident.
METACOGNITIVE STRATEGIES USED BY EFL UNDERGRADUATE STUDENTS IN READING ENGLISH TEXT
Authors: Riki Nama 
Published: November 2023

This study aims to investigate most of metacognitive strategies used by fifth semester students of English
Education Study Program in academic year 2020/2021 and also investigate their metacognitive awareness.
Eighty-nine students were participated in this study including 27 males and 62 females. The current study
used quantitative approach with survey design in which the author used a questionnaire to evaluate students’
responses. Survey of Reading Strategies (SORS) was used to investigate the reading strategies used by
students while reading English texts. Furthermore, it also used to assess metacognitive reading awareness
of students. The findings reveal that the participants’ overall use of metacognitive reading strategies
(Global, Problem-solving, and Support reading strategies) was at a high to medium level. There are 12
strategies used with high frequency while 18 strategies used with medium frequency and no strategy
reported using low frequency. Among of these three metacognitive categories, problem solving appears to
be the most strategies used by participants and followed by global reading and support reading. The present
study also reveals that they are have high- to low-level awareness of metacognitive strategies. From the
interview, also found that most students rely more on google translate.
STUDENTS’ PERCEPTION IN LEARNING SPEAKING BY VIRTUAL LEARNING ENVIRONMENT
Authors: Nazera Hezy , Soma Robi , Habizar Habizar 
Published: November 2023

This study aimed to know students’ perception in learning speaking by virtual learning environment. This study employed a quantitative research with used a survey method by using questionnaires to collect the data and SPSS to analyze the data from 51 respondents from one of university in Jambi. This research expected to be useful for students and other researchers.
The questionnare consist of six category in this research. The result of this research showed that in the first category got three interpretation (High, Moderate, Low) for five total item. The scale of the item rangging from 2.88 to 3.76 mean score. The second category got a moderate interpretation with the percentage 60% of the respondents chose neutral and 28% chose agree. The third and fourth category got high and moderate intepretation. The fifth and the last category got a moderate interpretation with the most of participants chose neutral.
The result of the data analysis revealed that most of the students as the participants had a positive perception of learning speaking by virtual learning. Moreover the lack of internet connection should have accessible for them to get access on the internet. Beside that, 34% of the respondents prefer to learning by offline learning (traditional learning).
ANALISIS PROFITABILITAS DAN NILAI TAMBAH USAHA INDUSTRI PANGAN PRODUK CARANG MAS DI KABUPATEN MAGETAN
Authors: Antriyandarti Ernoiz , Wati Ratrika 
Published: November 2023

Carang mas is a type of snack made from sweet potato. This study aims to determine the cost structure, the profitability and added value of processing sweet potatoes into carang mas by using descriptive and analytical methods. The location is chosen by applying purposive sampling, and sample is selected by census method. Data collection techniques used observation, interview, and note-taking. Data analysis methods used: (1) Cost; (2) Revenue; (3) Break event Point; (4) Profitability; and (5) Added Value. The results showed that the average variable cost is IDR 32.090.664,88 production/month and the average fixed cost is IDR 436.482,42 production/month. The average total cost spent is IDR 32,527,147.30 productions/month. The average revenue of the machete industry is IDR 39.486.431,28 production/month. The amount of Break Event Point units is 627,42 packages per month, while the of Break Event Point sales is IDR 2.330.414,69 production/month. The Margin Of Safety value is 94,10% and the value of the Marginal Income Ratio is 18,73%, so the profitability value in the business of carang mas is 17,62%. Processing of potato into carang mas generates the gross added value of IDR 1.400,75 per kilogram, while the net value added amounts to IDR 1.169,80 per kilogram. The average labor used in its industry is five people.
KAJIAN PENDAPATAN USAHATANI PADI SAWAH PADA LAHAN BEKAS TAMBANG EMAS DI KECAMATAN PANGKALAN JAMBU KABUPATEN MERANGIN
Authors: Kernalis Emy , Fathoni Zakky , Nover Yanti Vinni 
Published: November 2023

Pangan merupakan kebutuhan paling mendasar yang harus dipenuhi oleh negara maupun masyarakat. Tujuan dari penelitian ini adalah: 1). Untuk mengetahui gambaran umum usahatani padi sawah pada lahan bekas tambang emas, 2). Untuk mengkaji dan menganalisis pendapatan usahatani padi sawah pada lahan bekas tambang emas. Penelitian ini menggunakan adalah data primer dan data sekunder. Metode analisis yang digunakan adalah analisis deskriptif kuantitatif, dan analisis pendapatan. Hasil dari penelitian menyimpulkan bahwa : (1) Usahatani padi sawah pada lahan bekas tambang emas di daerah penelitian sudah menggunakan irigasi sederhana dengan musim tanam 2 kali. Pengolahan lahan sudah menggunakan mesin traktor dan sistem tanam yang digunakan yaitu sistem tanam jajar legowo. Input-input yang digunakan sudah sesuai dengan yang dianjurkan (benih, pupuk urea, SP36, KCl, Organik dan obat-obatan), (2) Rata-rata pendapatan usahatani padi sawah pada lahan bekas tambang emas di Kecamatan Pangkalan Jambu Kabupaten Merangin masih layak diusahakan dan menguntungkan dilihat nilai R/C lebih besar dari 1.
Respon Dinamik Micro Gas Turbine Terhadap Gangguan Simetris Dan Asimetris Pada Sistem ON GRID dengan SIMULINK MATLAB
Authors: Hilpan Hamim Toha 
Published: November 2023

Energi listrik merupakan energi yang sangat dibutuhkan dalam kehidupan sehari-hari. Untuk memenuhi permintaan energi listrik yang terus meningkat tersebut dibutuhkan banyak pembangkit yang handal dan mampu menyuplai daya dalam keadaan gangguan maupun tidak ada gangguan. Pada penelitian ini disimulasikan pembangkit listrik dengan bahan bakar gas skala micro terhadap gangguan simetris dan asimetris pada saat terhubung ke grid untuk mengetahui respon dari micro gas turbine tersebut terhadap gangguan simetris dan asimetris.
Micro gas turbine terkopel dengan generator permanen magnet dan memiliki putaran yang sangat tinggi sehingga frekuensi yang dihasilkan oleh generator juga tinggi sekitar 1.4 KHz. Oleh karena itu diperlukan back to back converter untuk menghasilkan frekuensi yang diinginkan yaitu 50 Hz. Pemodelan yang digunakan menggunakan Simulink Matlab 2020a. Pada simulasi yang dilakukan adalah melihat respon yang terjadi pada sisi grid dan sisi generator. Berdasarkan hasil simulsi terdapat perubahan tegangan dan arus pada sisi grid sedangkan pada sisi generator tidak terjadi perubahan putaran pada rotor genertor.
Kata kunci : micro gas turbine, simulink matlab, dinamik.
Studi Penentuan State Of Charge (SOC) pada Baterai Valve Regulated Lead Acid NP7-12 Menggunakan MATLAB
Authors: Afrida Yenni , J Jeckson , U Ubaidah 
Published: November 2023

Abstract — To maintain battery performance, it is necessary to have a battery monitoring system that functions to determine several parameters in the battery, such as voltage, current, capacitance and battery capacity. The technology for knowing battery capacity is often known as state of charge (SOC). State of charge (SOC) is the ratio of the remaining energy to the maximum energy capacity of the battery. State of charge values ​​are often expressed in percentage form, 0 percent -100 percent. Estimating the value of the state of charge is quite important in battery monitoring technology. The lead acid battery testing process is carried out for 10 hours or 36000 seconds, both in the condition of discharging and charging the battery. In this study, the initial State of Charge (SOC) value for the battery is given, namely the upper limit and lower limit. The upper limit value for the initial State of Charge (SOC) is 100 percent, while the lower limit value is 20 percent. In the process of discharging the lead acid battery, it can be seen that the current value when discharging is stable at 1.2 Amperes. The charging current value is very constant, namely at 0.425 A. Meanwhile, the charging voltage value is also constant at 12.215 V.
Keywords — State of Charge, Lead Acid, Coulomb Counting, Matlab.
Perancangan Self Tuning Dua Derajat Kebebasan dengan Metode Fuzzy Logic pada Pengendalian Kecepatan Motor Sinkron Magnet Permanen Menggunakan Metode Vector Control
Authors: Harahap Charles Ronald , Endah Komalasari  , Nadia Julian Putri  
Published: November 2023

Abstract — This paper proposes self tuning Proportional-Integral/Proportional gain controller parameter in a Two Degree of Freedom (2DoF) using fuzzy logic method for speed control of permanent magnet synchronous motor. The self tuning method can automatically determine the PI-P parameters using a fuzzy logic control system. Speed control of the 3-phase permanent magnet synchronous motor is carried out by changing the 3-phase system (a-b-c) to a 2-phase system (direct-quadrature) using the vector control method. SVPWM method is used to modulate six switches on a 3 phase inverter. The results obtained using MATLAB Simulink show that by using a self-tuning fuzzy logic control system, high motor performance results are obtained, where the speed response of the permanent magnet synchronous motor shows that the step response and disturbance response are close to the ideal response.
Keywords— Permanent Magnet Synchronous Motor, Self Tuning, Two Degrees of Freedom, Fuzzy Logic, Vector Control.
Global Economic Influences Generated By the Current Ukraine-Russia Conflict
Authors: Stan Simona Nicoleta , Strateanu Amalia-Gianina , Udrea Lavinia 
Published: November 2023

Abstract
We live in a world that is changing at an unprecedented rate in all areas of life. Technology, automation and artificial intelligence will be the deciding factors of major changes in the global socio-economic picture by 2030. Because the road to a sustainable economy is unquestionably challenging, the onset of the Covid 19 has slowed this progress, and in some countries, especially low-income countries, it has even declined. In this context, the reality of recent months has shown humanity that we are still very vulnerable to the danger posed by military wars, with weapons and tanks, as we no longer thought possible in the context of the current explosion of information and technology, AI and VR. Unfortunately, we cannot oppose the evolution of humanity, with or without wars, including economic ones, with the major risk that things will “go crazy”, especially if the technology becomes a tool against humanity.
Trends and Innovative Solutions in Smart Growth Production of Milk and Dairy Products
Authors: Strateanu Amalia-Gianina , Sandu Mariana , Ciornei Laurentiu , Udrea Lavinia 
Published: November 2023

Abstract
SMART solutions, offered by innovations in precision agriculture, provide livestock farms with the key to an infrastructure modernization based on technological advances, with a direct result on sustainable economic growth. The Romanian farmer and the one from the Member States of the European Union face a series of trends and challenges that would determine the need to develop new management strategies, in line with the global and European requirements on sustainability and sustainability, production efficiency and animal welfare. Nowadays, digitalization is a primary factor in increasing quality and efficiency on farms, and in dairy farms and exploitation of cows is given by high-quality solutions and correct managerial decisions on feed recipes (producers want to know exactly what they feed the animals), protection from diseases, how they are cared for, the climate in the shelter (the influence of their internal and external environmental factors), watering and milking systems, as well as the collection and storage of manure. In other news, the resilience of the food system to shocks is also given by the implementation of circular economy principles.