bluuebunny/crossref_metadata_2025_split huggingface dataset:
Description of trajectories of an evolution operator generated by mosquito population
Authors: Boxonov Zafar 
Published: June 2023

Abstract

In this paper, we study discrete-time dynamical systems generated by evolution operator of mosquito population. An invariant set is found and a Lyapunov function with respect to the operator is constructed in this set. Using the Lyapunov function, the global attraction of a fixed point is proved. Moreover, we give some biological interpretations of our results.
Impact of glass granular replacement as a coarse aggregate on the compressive strength of a concrete mixture; Normalaization and Modeling
Authors: Ahmad Soran Abdrahman , Ahmed Dler Ali , Rostam Khalan Jalil , Fqi Kawa Omar 
Published: June 2023

Abstract
In most countries in the third world, waste material management become one of the important objects, since its quantity increase day by day. One of the main components of waste materials is waste glass; since has large usage in different functions in human’s daily life. Many researchers have studied the usage of waste glass as cement replacement or sand replacement in concrete. This article deals with the usage of waste glass granular as coarse aggregate in concrete since coarse aggregate provides the larger composition of the concrete component for that purpose review has been done of the previous work to show the effect of the used waste glass granular as replacement of coarse aggregate on the fresh and mechanical properties of concrete at the same time the experimental data have been collected from previous work and statistical models have been proposed using artificial neural network (ANN), with multi-linear regression (MLR) to predict the compressive strength of concrete. Different statistical parameters have been used to assess and compare the efficiency of ANN to MLR and select the most efficient model. ANN consider as most sufficient since its R2 value is 26.5% higher than MLR with SI value 54% lower than MLR model.
Evaporation as a Method for Obtaining Plant Concentrates
Authors: Kulikova Nataliya , Chernobrovina Antonina , Roeva Natalia , Popova Olga 
Published: June 2023

Low-pressure vacuum evaporation is an effective way to obtain dry concentrates. However, some factors may affect its efficiency and speed. This article introduces the effect of technological factors on the evaporation process in a rotary evaporator. The research objective was to select the optimal mode to obtain concentrates and extracts from plant materials.
The experimental studies involved standard research methods and a BUCHI Rotavapor laboratory rotary evaporator (BUCHI, Switzerland). The research featured a water-alcohol extract of wild blueberries and an enzymatic hydrolysate of grain sorghum (durra), obtained by biotechnological treatment with amylolytic enzyme preparations.
The optimal evaporation mode included the following values: the volume of the evaporation flask was 1 L; the wall thickness of the flask was 1.8 mm; the angle of inclination was 25°; the rotation speed was 280 rpm; the temperature heating bath was 50–60°C; the steam temperature in the evaporator was 30–40°C. For condensation, the temperature of the refrigerant in the condenser was 10–20°C. The experiment yielded a concentrate of blue-violet blueberries with 70–72% solids. The content of polyphenolic compounds was 1.86 times as high as in the original water-alcohol extract while that of anthocyanins was 1.4 times as high. The enzymatic hydrolysate of grain sorghum yielded a condensed sugar syrup with 78–80% solids and 91–92% reducing sugars in terms of glucose equivalent.
The research provided optimal modes of evaporation for extracts and enzymatic hydrolysates from plant raw materials in a rotary evaporator. The plant concentrates had a high content of solids and maintained the sensory properties of the raw material.
Effects of a Plant-Based Additive on the Properties of Flour and Dough during Fermentation
Authors: Maslov Alexander , Mingaleeva Zamira , Yamashev Timur , Starovoitova Oksana 
Published: June 2023

To ensure a balanced diet, bakers use plant-based raw materials with a high nutritional value which affect the properties of flour and dough. We aimed to study the effects of a complex additive based on plant components on wheat flour’s amylolytic activity and gas-forming ability, as well as on the dough’s rise and gas-retaining ability during fermentation.
Our study objects included premium wheat flour, a water-flour suspension, and wheat dough with a complex additive (at concentrations of 10, 16, and 22% by weight of flour mixtures). The additive contained whole wheat flour, crushed sprouted spelt, powdered pumpkin seeds, oyster mushrooms, and gooseberries at a ratio of 56.3:25.0:17.2:0.9:0.6, respectively. An amylograph-E was used to study the viscosity of the water-flour suspension during heating, an ICHP-1-2 apparatus measured the falling number, and an F4 rheofermentometer assessed the flour’s gas-forming ability and the dough’s rise and gas-retaining ability.
The complex additive improved the enzymatic activity of the flour, increased the dough rise by an average of 8.4 mm, and reduced the fermentation time needed to reach the maximum height by an average of 17.8%, compared to the control. The total volume of carbon dioxide, as well as the volumes of lost and retained carbon dioxide, increased by an average of 35.8, 99.7, and 26.9%, respectively, compared to the control. The optimal concentration of the complex additive introduced into premium wheat flour was 16%, at which the dough rose to its maximum height and had the longest porosity time. To obtain high-quality products with this concentration of the additive, the total time of dough fermentation and proofing should be reduced by 17.8% compared to the unfortified dough.
The results can be used in the production of bakery products from premium wheat flour fortified with the complex additive based on plant components. During the process, it is important to determine the duration of dough maturation and reduce the total time of dough fermentation and proofing depending on the concentration of the additive. Further research is needed to study the effect of the complex additive on the structural and mechanical properties of dough during its development.
Ultrasound Treatment of Iota-Carrageenan and Guar Gum
Authors: Nitsievskaya Kseniya , Stankevich Svetlana , Boroday Elena 
Published: June 2023

Hydrocolloids make it possible to produce low-calorie analogues of traditional foods that maintain the original structural properties. Electrophysical methods control viscosity and stabilize food systems. However, the stabilizing effect of ultrasonic treatment on gel remains understudied. The research featured the effect of ultrasonic treatment on hydrocolloids (polysaccharides) used in meat or fish jelly, marmalades, marshmallows, puddings, ice cream, etc.
The study involved samples of colloidal systems based on iota-carrageenan or guar gum and purified water (1:100). The samples underwent ultrasonic treatment at various time and pH ranges. The viscosity, active acidity, temperature, and transparency (transmission coefficient, T, %) of the obtained colloidal systems were determined using standard methods, while the sensory profile was defined by the descriptor-profile method.
Hydrocolloids were subjected to ultrasound at pH 3.9, 7.0, and 9.0. The colloidal viscosity of the iota-carrageenan sample was 47.6 mPa·s at neutral pH, 45.7 mPa·s at acidic pH, and 22.3 mPa·s at alkaline pH. The viscosity of the hydrocolloid system with guar gum depended on the pH of the medium: it decreased during processing from 119.0 to 64.8 mPa·s in the neutral medium but remained the same (3.5 ± 0.2 mPa·s) in the acid medium and reached 6.52 mPa·s in the alkaline medium. The maximum temperature of the colloidal system was 46.5°C in a neutral medium.
The system with iota-carrageenan showed the best result at medium acidity in the range of 3.9–6.0 units and produced a fluid gel-like structure. Sonicated iota-carrageenan could be recommended as a gelling agent. Guar gum viscosity, on the contrary, lost its viscosity and failed to produce the desired structure.
Green algae outcompete cyanobacteria in a shallow lake, Longhu Lake
Authors: Li Jingjing , Xiao Xinyan , Xian Xuanxuan , Li Shuai , Yu Xin , Zhang Xian 
Published: June 2023

Abstract

Green algae are natural competitors of cyanobacteria, but we still do not know why green algae have a competitive advantage in shallow lakes. In this study, we used qPCR to quantify and monitor green algae and cyanobacteria in Longhu Lake. Our results showed that green algae were dominant in Longhu Lake, accounting for 71.80–80.31%. The temporal and spatial dynamics of green algal blooms were consistent with that of total organic nitrogen (TON), indicating that organic nitrogen may be the key trigger of green algal blooms. Nitrogen and phosphorus were excessive, and the peak of ammonia nitrogen occurred during the blooms, implying that ammonia nitrogen may be one of the important factors stimulating green algal blooms. Spearman correlation analysis and RDA analysis showed that green algae and cyanobacteria were positively correlated with water temperature, TON, and ammonia nitrogen, indicating that they have similar favorable growth conditions in Longhu Lake. Our results indicated that the combined effects of elevated water temperature, excessive nitrogen and phosphorus, non-stratification, and short water retention time could favor the competitive dominance of green algae in Longhu Lake. The findings here improve our understanding of the competition between green algae and cyanobacteria in shallow lakes.
Synthesis, Structure, and Properties of Dihydrotetrathiafulvalenes
Authors: Aitken R. Alan , Fotherby Fiona M. 
Published: June 2023

Abstract:
Although less well known than their fully unsaturated analogues, dihydrotetrathiafulvalenes
(dihydro-TTFs) has been of considerable recent interest as components of organic conducting
materials. In this article, the various methods for their synthesis are reviewed and this is followed
by a survey of their structure and properties, including those of charge transfer salts, and an
account of their reactions.
Study of Active Phytochemicals and Mechanisms of Cnidii Fructus in
Treating Osteoporosis Based on HPLC-Q-TOF-MS/MS and Network
Pharmacology
Authors: Xu Yincong , Zhang Shuai , Yuan Shinong , Su Yanlei , Jia Yuqian , Zhang Yajing , Duan Xuhong 
Published: June 2023

Introduction:
This study aimed to clarify the anti-osteoporosis mechanism of Cnidii
Fructus (CF) via network pharmacology and experimental verification.

Methods:
HPLC fingerprints combined with HPLC-Q-TOF-MS/MS analysis confirmed common
components (CCS) of CF. Then, network pharmacology was used to investigate the anti-OP mechanism
of CF, including potential anti-OP phytochemicals, potential targets, and related signalling
pathway. Molecular docking analysis was carried on investigating the protein-ligand interactions.
Finally, in vitro experiments were performed to verify anti-OP mechanism of CF.

Results:
In this study, 17 compounds from CF were identified by HPLC-Q-TOF-MS/MS and
HPLC fingerprints and then were further screened key compounds and potential targets by PPI
analysis, ingredient-target network and hub network. The key compounds were SCZ10 (Diosmin),
SCZ16 (Pabulenol), SCZ6 (Osthenol), SCZ8 (Bergaptol) and SCZ4 (Xanthotoxol). The potential
targets were SRC, MAPK1, PIK3CA, AKT1 and HSP90AA1. Molecular docking further analysis
indicated that the five key compounds have a good binding affinity with related proteins. CCK8
assays, TRAP staining experiments, and ALP activity assays concluded that osthenol and bergaptol
inhibited osteoclast formation and promoted osteoblast bone formation to improve osteoporosis.

Conclusion:
Based on network pharmacology and in vitro experiments analysis, this study
revealed that CF possessed an anti-OP effect, and its potential therapeutic effect may be involved
with osthenol and bergaptol from CF.
Identification of Tyrosinase Inhibitory Peptides from Sea Cucumber (Apostichopus
japonicus) Collagen by in silico Methods and Study of their Molecular
Mechanism
Authors: Chen Hui , Yao Yourong , Xie Tingyu , Guo Honghui , Chen Sijin , Zhang Yiping , Hong Zhuan 
Published: June 2023

Aims:
Identify novel tyrosinase inhibitory peptides from sea cucumber (Apostichopus
japonicus) collagen using in silico methods and elucidate the molecular interaction mechanism.

Background:
Tyrosinase is a key enzyme in the melanin biosynthesis pathway, to restrain melanin
production and reduce the appearance of associated skin diseases, inhibition of tyrosinase activity
is one of the most effective methods.

Objective:
The collagen from Apostichopus japonicus, which consists of 3,700 amino acid residues,
was obtained from the National Center for Biotechnology Information (NCBI) as the accession
number of PIK45888.

Method:
Virtual hydrolyzed method was used, and the peptides generated were compared to the
previously established BIOPEP-UWM database. In addition, peptides were examined for their solubility,
toxicity, and tyrosinase-binding capacity.

Result:
A tripeptide CME with optimal potential inhibitory activity against tyrosinase was identified,
and its inhibitory activity was validated by in vitro experiments. The IC50 value of CME was
0.348 ± 0.02 mM for monophenolase, which was inferior to the positive control peptide glutathione,
while it had an IC50 value of 1.436 ± 0.07 mM for diphenolase, which was significantly
better than glutathione, and the inhibition effect of CME on tyrosinase was competitive and reversible.

Conclusion:
In silico methods were efficient and useful in the identification of new peptides.
Pharmacological Profile of Novel Anti-cancer Drugs Approved by
USFDA in 2022: A Review
Authors: Sangwan Kavita , Sharma Vipasha , Goyal Parveen Kumar 
Published: June 2023

Background:
For any drug molecule, it is mandatory to pass the drug
approval process of the concerned regulatory authority, before being marketed. The
Food and Drug Administration (FDA), throughout the year, approves several new drugs
for safety and efficacy. In addition to new drug approvals, FDA also works on improving
access to generic drugs, aimed to lower the cost of drugs for patients and improve
access to treatments. In the year 2022 twelve new drug therapies were approved for
managing varying cancers.

Methods:
This manuscript is focused to describe the pharmacological aspects including
therapeutic uses, mechanisms of actions, pharmacokinetics, adverse effects, doses,
indication for special cases, contraindications, etc., of novel FDA-approved anticancer
drug therapies in the year 2022.

Result:
FDA has approved about 29% (11 out of 37) novel drug therapies for varying
types of cancers such as lung cancer, breast cancer, prostate cancer, melanoma,
leukemia, etc. The Center for Drug Evaluation and Research CDER has reported that
90% of these anticancer drugs (e.g. Adagrasib, Futibatinib, Mirvetuximabsoravtansinegynx,
Mosunetuzumab-axb, Nivolumab and relatlimab-rmbw, Olutasidenib, Pacritinib,
Tebentafusp-tebn, Teclistamab-cqyv, and Tremelimumab-actl) as orphan drugs and
recommended to treat rare or uncommon cancers such as non-small cell lung cancer,
metastatic intrahepatic cholangio-carcinoma, epithelial ovarian cancer, follicular
lymphoma, metastatic melanoma, metastatic uveal melanoma, etc. CDER has identified
six anticancer drugs (e.g. Lutetium (177Lu)vipivotidetetraxetan, Mirvetuximabsoravtansine-
gynx, Mosunetuzumab-axb, Nivolumab and relatlimab-rmbw, Tebentafusp-tebn,
Teclistamab-cqyv) as first-in-class drugs i.e. drugs having different mechanisms of
action from the already existing ones. The newly approved anticancer drugs shall
provide more efficient treatment options for cancer patients. Three FDA-approved
anticancer drugs in the year 2023 are also briefly described in the manuscript.

Conclusion:
This manuscript, describing the pharmacological aspects of eleven
anticancer novel drug therapies approved by the FDA, shall serve as a helpful document
for cancer patients, concerned academicians, researchers, and clinicians, especially
oncologists.
Electrochemical Analysis of Narcotic Drugs Using Nanomaterials Modified
Electrodes – A Review
Authors: Nagarajan Ramila Devi , Kavitha J. , Atchudan Raji , Arya Sandeep , Sundramoorthy Ashok K. 
Published: June 2023

Abstract:
The usage of abused illicit drugs remains an increasing challenge for drug regulatory authorities
and therefore, it is important to develop advanced sensor technology that able to identify and determine
drugs concentration in seized samples, biological fluids and food samples. The World Health Organization
(WHO) recommends the usage of narcotic drugs legally for the medical treatments. Thus, many
reports indicated that the higher dosage level led to drug addiction and mental disorders in humans. The
United States record showed about 0.46 million cases of deaths due to the overdose of opioids-related
drugs every year. This review discusses the electrochemical analysis (DPV, CV, EIS spectra, etc.) of various
narcotic drugs using electrochemical transducers made of nanomaterials such as gold nanoparticles,
single-walled carbon nanotubes, Zn2SnO4/graphene nanocomposite, cysteamine functionalized gold nanoparticle
conjugated with an aptamer, etc. There were many challenges reported during the electroanalysis
of narcotic drugs. Some of the wearable devices were also made for the sensing of narcotic
drugs. Specifically, electro-analysis of nicotine, morphine, codeine and cathonine using 2D nanomaterials
and their nanocomposites-based electrochemical sensors fabricated on flexible substrates were discussed.
In particular, the linear range of detection, limit of detection (LOD), interference and real-world sample
analysis were highlighted. It was concluded that wearable sensors could be used for the monitoring of
illicit drugs and their derivatives in day-to-day life.
Naturally Occurring Herbs and their Bioactive Metabolites: Potential Targets and Signaling Pathways of Antiviral Agents
Authors: Singh Sonia , Sharma Shiwangi , Sharma Himanshu 
Published: June 2023

Abstract:Viruses significantly impact global health because they are the leading cause of death everywhere they are found. Despite the rapid development of human healthcare, more effective viricidal or antiviral therapies must be developed. The need to find safe, novel, and effective alter-natives against viral diseases is heightened by the rapid emergence of resistance to, and the high cost of, synthetic antiviral drug(s). The development of novel multi-target antiviral compounds that affect multiple steps of the viral life cycle and host proteins has benefited tremendously from look-ing to nature for guidance and inspiration. Hundreds of natural molecules are preferred over syn-thetic drugs because of concerns regarding efficacy and safety and a high resistance rate to con-ventional therapies. In addition, naturally occurring antiviral agents have demonstrated reasonable antiviral value in both animal and human studies. Therefore, finding new antiviral drugs is crucial, and natural products provide an excellent opportunity. This brief review examines the evidence of antiviral effects exhibited by various plants and herbs.
Making Research FAIR With a PID-centric Workflow
Authors: Chen Xiaoli 
Published: June 2023

Persistent identifiers (PIDs) are unique, machine-readable codes assigned to research entities that allow them to be easily discoverable. PIDs, along with their accompanying metadata, are crucial enablers of the FAIR principles (Findable, Accessible, Interoperable, and Reusable). PIDs ensure that digital objects can be located, accessed, and reused by humans and machines alike, while metadata provides essential information about research objects, including their origin, content, and format.
In the research ecosystem, each stakeholder has a role to play in integrating PIDs into their workflows. Publishers, for example, can assign DOIs (Digital Object Identifiers) to articles, books, and other publications, making them easily findable and citable. Repositories can assign PIDs to datasets, making them discoverable and accessible. Researchers can use PIDs to link their data to their publications, ensuring that their data is discoverable and can be reused in future research.
Despite the importance of PIDs and metadata, it's not always clear to researchers how to take advantage of the existing infrastructure and make their outputs FAIR. Being aware of the available PIDs, such as DOIs, ORCIDs, and RORs, and how they can be used to identify, connect, and cite various types of outputs and resources can help researchers plan and execute sensible data management, sharing, and publishing decisions that are efficient and beneficial in the long term.
In the Implementing FAIR Workflows Project, DataCite works with a team of researchers at the Max Planck Institute for Empirical Aesthetics to follow along a neuroscience PhD project from the beginning, to design and plan for a series of workflows that put the FAIR principles into practice, so that they become an inherent part of the research process, instead of an afterthought. The FAIR workflows researcher is undertaking in the project include data management planning, experiment preregistration, domain-specific metadata capturing and archiving, data and code sharing, preprinting, and open access publishing. We have also been tracking the time spent on various types of FAIR and Open activities, hoping to shed a light on the actual time commitment expected for a FAIRly conducted research project.
We share our experience so far implementing these workflows with the Edinburgh Open Science community - the approach we used, the steps we’ve taken, and the outcomes and challenges that surfaced during the process. We are also preparing a guide for researchers to take on FAIR research workflows in their day-to-day work based on the lessons learned in the project, we look forward to taking the opportunity to hear from the community whether it resonates, and how can we format it in a way that’s most useful.
South African Open Access and Open Data
Authors: Salematsela Daisy , Matizirofa Lazarus 
Published: June 2023

Join our keynotes Daisy Salematsela (Director, WITS Libraries, Johannesburg, South Africa) & Lazarus Matizirofa (University of Pretoria) as they give us a survey of the progress being made in South Africa towards Open Access, Open Data, and Open Research in general - focusing on the role of the Library in this drive towards openness.