bluuebunny/crossref_metadata_2025 huggingface dataset:
The prediction of undiagnosed diabetes using lifestyle and anthropometric measures: Machine learning vs. Traditional statistical methods
Authors: Choi Seong Gyu , Oh Minsuk , Park Dong–Hyuk , Lee Byeongchan , Lee Yong-ho , Jee Sun Ha , Jeon Justin Y
Published: February 2023

Objective
As delayed diagnosis of diabetes increases the risk of irreversible diabetes complications, detecting undiagnosed diabetes using a prediction model could be useful. Recently, machine learning-based disease prediction models have been used; however, the performance of the machine learning-based prediction model and traditional statistics-based prediction models in predicting undiagnosed diabetes has not been compared. Therefore, we developed a machine learning-based undiagnosed diabetes prediction model and compared its prediction performance with that of a traditional statistics-based prediction model.
Methods
We used the 2014–2020 Korean National Health and Nutrition Examination Survey (KNHANES) (N = 32,827). The KNHANES 2014–2018 data were used as training and internal validation sets and the 2019–2020 data as external validation sets. The receiver operating characteristic curve area under the curve (AUC) was used to compare the prediction performance of the machine learning-based and the traditional statistics-based prediction models.
Results
Using sex, age, resting heart rate, and waist circumference as features, the machine learning-based model showed a higher AUC (0.788 vs. 0.740) than that of the traditional statistical-based prediction model. Using sex, age, waist circumference, family history of diabetes, hypertension, alcohol consumption, and smoking status as features, the machine learning-based prediction model showed a higher AUC (0.802 vs. 0.759) than the traditional statistical-based prediction model. The machine learning-based prediction model using features for maximum prediction performance showed a higher AUC (0.819 vs. 0.765) than the traditional statistical-based prediction model.
Conclusions
machine learning-based prediction models using anthropometric and lifestyle measurements showed good performance in predicting undiagnosed diabetes. The machine learning-based prediction model outperformed the traditional statistics-based prediction models.
Molecular docking approaches of biomolecules extracted from red seaweed Kappaphycus alvarezii against hemolysin protein of bioluminescence disease-causing bacteria Vibrio harveyi
Authors: Sivakumar Krishnamoorthy , Kannappan Sudalayandi , Vijayakumar Balakrishnan
Published: February 2023

Molecular docking is suited a major approaches in structural biology and computer-assisted drug design against the protein of disease-causative agents. Marine resources are an unmatched reservoir of several natural biological products, which exhibit structural features that have not been found in a terrestrial organism. Herein, it was performed that molecular docking with various compounds/ ligand molecules identified by Gas Chromatography and Mass Spectrometry (GC-MS) analysis from the marine red seaweed Kappaphycus alvarezii extract against the hemolysin protein of bacterial disease-causing shrimp pathogen, Vibrio harveyi. Further, extracts of K. alvarezii were evaluated against V. harveyi infection during Penaeus monodon larviculture. This study correlates with various virulence factors including the hemolysin protein of V. harveyi. Among the compounds docked, an inhibitory effect was observed based on docking scores and found the highest binding affinity/inhibiting activity in Cyclotetracosane. Extract of K. alvarezii at 200 µg mL− 1 showed reductions in the V. harveyi counts that leads to a 29.70% reduction in the cumulative percentage mortality (CPM) caused by postlarvae and during larviculture. Using statistical analysis, significant differences (p < 0.05) were observed in the growth and virulence factors of V. harveyi during shrimp larviculture trials. While considering these findings, it was determined that K. alvarezii extract can be replaced as an alternative bio-agents by protecting against V. harveyi infections and possibly other aquatic pathogenic bacteria in shrimp farming systems.
Yield and Quality Response of Potato Grown Under Different Drip Irrigation and Nitrogen Levels
Authors: AKKAMIS Mustafa , CALISKAN Sevgi
Published: February 2023

Proper irrigation and fertilization are essential to achieve high tuber yield and quality in potato production. Water and nitrogen (N) use efficiencies are required to be improved due to high costs of these agricultural inputs. This study aimed to optimize the use of water and N in potato to ensure high water and N use efficiencies as well as achieve optimum yield and tuber quality. Potato plants were subjected to three irrigation treatments, i.e., a water application of 100% (S100), 66% (S66) and 33% (S33) of field capacity and six N levels, 0 (N0), 100 (N1), 200 (N2), 300 (N3), 400 (N4) and 500 (N5) kg N ha− 1. Yield, growth parameters and tuber quality were generally more sensitive to irrigation than nitrogen. The highest total tuber yield was obtained under full irrigation with an application of 300 kg N ha− 1. Plants indicated higher values for yield and growth parameters in full irrigation applications, and significantly lower values were obtained at low irrigations. On the contrary, the full irrigation (S100) application caused a decrease in quality characteristics compared to low irrigations (S66 and S33). The WUE was improved by N supply, when N level applied above 300 N ha− 1. In addition, N3-S66 was determined the most suitable application for tuber quality and WUE. These results indicated that potato can be produced with acceptable yields while saving irrigation water and certain nitrogen level.
Dominating Competition Graph and its Application in Social Network
Authors: Maity Ananta , Das Kousik , Samanta Sovan , Mondal Sukumar
Published: February 2023

Domination and competition have been there since the beginning of the Universe. Bigger stars dominate the smaller ones and draw them towards themselves. Domination and competition are such phenomenon which nothing in this universe can stay without. Stronger things and animals dominate the weaker ones. Again, when there are more than one strong dominant, there comes competition among them. To measure domination and competition together, we introduce here a domination competition graph, through which we identify the most competitive and dominating variables. By dominating competition number, we calculate which nodes (when we draw a graph corresponding perception) are more powerful and how much powerful. We have used forest biodiversity network as an example here. In the end, an application of domination competitions to e-commerce industry is illustrated.
Direct synthesis of vanadium pentoxide powder with carbon recombination as aqueous zinc-ion battery cathode
Authors: Cui Jian , Ma Jidong , Yuan Yinghao , Gu Siyong , Zhou Wenjun , Zhang Houan , Cao Zhiqin
Published: February 2023

Advanced energy storage technologies have been prompted by the benefits of safe, high-capacity, and stable cathode materials for aqueous Zn-ion batteries (ZIBs). Vanadium oxide has lately become a popular cathode material thanks to its advantages of a sufficient operating voltage window and a highly reversible redox reaction. However, Vanadium pentoxide has several drawbacks, including poor electrical conductivity and slow ion diffusion. To resolve these problems, orthorhombic single crystal V2O5 sheets were synthesized by a facile solution combustion synthesis method to improve their performance by adding C6H12O6. As cathode materials for the ZIBs, the V2O5/C particles with larger surfaces and higher oxygen defects concentration are obtained with C6H12O6 addition, which increases the dynamic performance of ion diffusion and the activity of the vanadium-based cathode. The synthesized V2O5/C sample exhibited the specific capacitance of 220 mAh g− 1 (V2O5 is 180 mAh g− 1) in the aqueous electrolytes at 4 A g− 1, which exhibited a high specific capacity of 85.5% after 500 cycles with nearly 100% coulomb efficiency, indicating improved specific capacitance and cyclic stability.
Robust Hyperparameter Estimation in Gaussian Process Regression Model
Authors: Algikar Pooja , Mili Lamine
Published: February 2023

A stochastic process mathematically models the random behavior of systems and naturally occurring phenomena. A popular process is a Gaussian process which assumes a multivariate Gaussian distribution for the response variables. The predictive distributions of target variables can be explicitly obtained by using conditioning and inference techniques. The mean function and covariance function of the predictive distributions are parameterized whose estimates can be obtained by maximizing the marginal likelihood of the training responses or their posterior distribution. Unfortunately, these estimates are not robust to outliers that are often present in the observational training data sets. To overcome this problem, we develop a robust data-driven process based on the Schweppe-type Huber-generalized maximum likelihood (SHGM) estimator to bound the influence of all types of outliers on the estimates while exhibiting a high statistical efficiency at the Gaussian and thick-tail distributions. The weights utilized by the SHGM estimator are calculated using projection statistics, which are robust distances of the data points determined by the row vectors of the design matrix. These weights make the estimator robust to both vertical outliers and bad leverage points while not downweighting good leverage points. We show that the proposed robust model is able to handle up to 25 percent of outliers among the data set. The proposed method is illustrated by two real-world examples in which the performance of the proposed method is assessed against the standard Gaussian process regression.
Metaverse for Real Estate Marketing: The Impact of Virtual Reality on Satisfaction, Perceived Enjoyment and Purchase Intention
Authors: Azmi Athira , Ibrahim Rahinah , Ghafar Maszura Abdul , Rashidi Ali
Published: February 2023

Purpose: This paper investigates how the residential real estate sector could take advantage of the virtual world envisioned by the concept of metaverse – a world of interconnected digital spaces through virtual reality that will incorporate businesses, commerce, entertainment, and social networking.
Methods: This study conducted an experiment with 65 potential homebuyers to evaluate responses in the physical and virtual environment. The hypothesized relationships were tested using PLS-SEM statistical analysis method.
Results: Results indicate that the atmosphere, satisfaction, perceived enjoyment and purchase intention is statistically different (p < 0.05) in the physical and the virtual environment. This study found that the atmosphere in virtual environment positively effect satisfaction and perceived enjoyment, which subsequently positively effect purchase intention.
Conclusion: The results presented in this paper supports the future of metaverse with virtual reality in the real estate sector for enhancing human-computer interactions in terms of consumer experience.
Association of Selenium Levels with Neurodegenerative disease: A Systemic Review and Meta-analysis
Authors: Zhou Jiaxin , Zhang Wenfen , Lian Shaoyan , Li Jieying , Nie Jiaying , Huang Ying , Zhao Ke , He Jiang , Liu Chaoqun
Published: February 2023

Background
Neurodegenerative diseases are debilitating and incurable disorders with a rapid-rising prevalence. Selenium, a trace element, works in anti-oxidant and anti-inflammatory aspects through selenoprotein biologically. Nowadays, it is in a great urgency to discover the intrinsic relationship between selenium and neurodegenerative diseases, and find more effective therapeutic strategies to combat these devastating diseases.
Method
Five public databases including PubMed, Web of Science, EMBASE, Cochrane, Clinical Trials were searched in our research. Random model effects were chosen, and Higgins inconsistency analyses (I2), Cochrane’s Q test, Tau2 were calculated to evaluate the heterogeneity.
Result
The association of selenium in neurodegenerative diseases patients including Alzheimer’s disease, Parkinson’s disease, Multiple sclerosis, Amyotrophic lateral sclerosis and Huntington’s disease was studied. The strong relation was only found in AD patients, especially the erythrocytes in sub-group analysis of various tested tissue type.
Conclusion
Generally, this meta-analysis indicated that Alzheimer’s disease is strongly associated with lower selenium concentration, which may provide clinical reference in the future. However, more researches are in urgent need for further study and treatment for neurodegenerative diseases.
Structural and spectral studies of (1,3,5-triazinane-2,4,6-trione) 1,4-diazabicyclo[2.2.2]octane (TTDO)
Authors: A Ponnuvel , S Nivithaa , A Kala , R Ramkumaar G , S Nagaraja K , Chandran Karnan
Published: February 2023

(1,3,5-triazinane-2,4,6-trione) 1,4-diazabicyclo[2.2.2]octane (TTDO) was prepared from 1,4-Diazabicyclo[2.2.2]octane (DABCO) and cyanuric acid (CA) by solvent evaporation method. The TTDO molecule crystallized in the centrosymmetric space group C2/c with a monoclinic crystal system. The structure has a salt bridge between N1(CA)-H1 and N4(DABCO)-H4. The DABCO comes in between two CA moieties linearly disposed on either side of the two nitrogen atoms of DABCO. On sidewise, the CA molecules extend H-bonding showing a supramolecular assembly. Hydrogen bonding as compelled by stereographic projection. The Hirshfeld surface analysis confirms that the crystal is formed by involving intermolecular interactions. FT-IR confirms the presence of N-H, C-H, C=O and CN stretching vibrations of the molecule. The photoluminescence spectra show intense peaks at 532 nm in the green region. TG-DTA analysis confirms that the molecule is stable up to 143°C and loses CA in the first stage and DABCO decomposes subsequently. Antibacterial activity shows that TTDO inhibits Gram-positive (Staphylococcus aureus) and Gram-negative (Salmonella typhi) bacteria.
Research on 3D Simulation Design and Dynamic Virtual Display of Clothing Flexible Body
Authors: Ren Xiangfang , Niu Sijia , Huang Xinyi
Published: February 2023

Garment industry design development problems and visualization mapping analysis software as a tool to analyze the status of domestic and foreign research, followed by the current situation of the front-end and back-end rapid response of the garment industry, the research problem of this topic, through the garment design modeling (fabric physical model and design, human body and fabric collision detection analysis, garment fabric rendering and flexible body 3D garment simulation model) and garment dynamic virtual display Research to build an effective solution to the problem. It is found that the real effect of garment fabric can be truly restored in the design stage, and the development speed can be improved and the labor cost can be reduced, while the cost waste problem of proofing materials can be solved by using dynamic simulation display, and the selection rate and design level of products.
Passive Visual Underwater Surveillance: A Survey
Authors: Subudhi Badri Narayan , Kapoor Meghna , Rout Deepak Kumar , Thangaraj Veerakumar , Jakhetiya Vinit
Published: February 2023

The objective of this article is to provide a detailed review of the state-of-the-art underwater surveillance process and the new trends of the same. Underwater surveillance has recently getting lots of attention because of its potential applications including the security of the coastal border, effective fish farming, deep-sea exploration, preservation of rare aquatic animals, etc. In the case of underwater, the light that is sensed by the camera got degraded due to many underwater phenomena such as haze, low illumination, scattering, absorption, diffraction, and refraction. The actual color of the object, as well as the scene, gets degraded as the light can not travel deep underwater. In a situation, where the scene of view is not clear, it is very difficult to detect the moving objects present in the scene. Further, the identification of the object of concern and tracking of that becomes more challenging. In this survey, we categorize underwater surveillance as a combination of the three blocks: enhancement, object detection, and object tracking. We categorize all these three blocks based on the underwater complexity and motion models considered. In this article, we tried to enumerate the most detailed descriptions of each category. We also discuss the future directions of research in the area of underwater surveillance.
Bidirectional effect of Triphala on modulating Gut-brain axis to improve cognition in the Murine Model of Alzheimer’s disease
Authors: Upadhyay Prabhat , Tyagi Anurag , Agrawal Sakshi , Kumar Anil , Gupta Sarika
Published: February 2023

Background
The emerging role of gut microbiota and their metabolites in the modulation of the gut-brain axis has received much attention as a new hope for the treatment of hard-to-treat chronic neurodegenerative diseases like Alzheimer’s Disease. The naturally occurring polyphenols can restore the gut-brain axis by modulating gut microbiota and brain neurotransmitters. However, the mechanism of action remained unclear. The Indian traditional medicine Triphala, a rich source of polyphenols, has been used on humans based on Prakriti or disease conditions for many years.
Methods:
In this study, the dual mode (morning and evening) action of Triphala was used to provide scientific evidence of its superior preventive and therapeutic efficacy in C57BL/6 and 5xFAD, APP/PS1 transgenic mouse model of Alzheimer’s disease. For behavior analysis, used the Morris water model and Y maze model to assess spatial memory and exploratory behavior. The blood serum and brain lysate were used to evaluate the inflammatory activity and oxidative parameters in the mice. The gut microbiome analysis was done by 16srRNA analysis from mice feces after 60 days of treatment.
Results
We observed that Triphala treatment has significantly improved cognitive function, by modulating the APP pathway, reducing inflammation, oxidative stress, and restoring the gut-brain axis by increasing the gut microbiota phyla of Bacteroides, Proteobacteria, Actinobacteria, etc., involved in maintaining the gut homeostasis.
Conclusions
Our study paved a new path for using dual modes of Triphala one or in combination to treat incurable AD.
COD as a Dynamic Tool for Pretreatment of Sludge Samples in Microplastic Analysis
Authors: Hatinoglu M. Dilara , Simsek Irem , Altuntas Oguzhan , Karakurt Ozan , Sanin F. Dilek
Published: February 2023

Given the society’s continuous reliance on plastic materials, large amounts of micron-sized plastic particles (i.e., microplastics, MPs) reach wastewater treatment plants (WWTPs) every day. Despite their effective removal from influent wastewater, over 90% of MPs in WWTPs are accumulated in sludge. Yet, there is no universally accepted method for quantification and identification of MPs, which beclouds our understanding of the extent of this pollution. Therefore, this study aims to develop a chemical oxygen demand (COD) based repeatable method for MP analysis in sludge, which is a very complex, MPs-laden by product of WWTPs. The developed method is unique in that it removes the organic substances interfering with polymer analysis by monitoring the COD of sludge for the first time in literature. Upon 90% of organic matter removal, MPs are extracted from the medium by a two-step density-based separation, sieved, stained with Nile Red, and counted under Fluorescence Microscope. Moreover, quality assurance and quality control (QA/QC) strategies including blank preparation and spike and recovery test procedures are followed. The developed protocol ensures at least 80% recovery efficiency of variety of MPs from waste activated sludge samples, which meets the recommendations given in the literature.
Towards Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification
Authors: Neff Christopher , Pazho Armin Danesh , Tabkhi Hamed
Published: February 2023

Following the popularity of Unsupervised Domain Adaptation (UDA) in person re-identification, the recently proposed setting of Online Unsupervised Domain Adaptation (OUDA) attempts to bridge the gap towards practical applications by introducing a consideration of streaming data. However, this still falls short of truly representing real-world applications. This paper defines the setting of Real-world Real-time Online Unsupervised Domain Adaptation (R2OUDA) for Person Re-identification. The R2OUDA setting sets the stage for true real-world real-time OUDA, bringing to light four major limitations found in real-world applications that are often neglected in current research: system generated person images, subset distribution selection, time-based data stream segmentation, and a segment-based time constraint. To address all aspects of this new R2OUDA setting, this paper further proposes Real-World Real-Time Online Streaming Mutual Mean-Teaching (R2MMT), a novel multi-camera system for real-world person re-identification. Taking a popular person re-identification dataset, R2MMT was used to construct over 100 data subsets and train more than 3000 models, exploring the breadth of the R2OUDA setting to understand the training time and accuracy trade-offs and limitations for real-world applications.
R2MMT, a real-world system able to respect the strict constraints of the proposed R2OUDA setting, achieves accuracies within 0.1% of comparable OUDA methods that cannot be applied directly to real-world applications.
Fabrication of Al-Zn/SiC Reinforced Metal Matrix Composite via Powder Metallurgy Method and Investigating the Mechanical Properties of Composite
Authors: sonker Puneet Kumar , Singh Thingujam Jackson , yadav Niteesh Pratap
Published: February 2023

In this investigation, Al-Zn/SiC composite with various weight percentages of SiC were manufactured via powder metallurgy (PM) route. Using the powder metallurgy approach, composites are created by changing the amount of Al in the range of 95%, 90%, 85% and SiC in the range of 5%, 10%, 15% by weight respectively. Before making composites, mechanical alloying was done using a ball mill. The ball to powder ratio is 10:1, the milling speed is 150 rpm, the milling time is one hour, and the process control agent is stearic acid, accordingly. The mechanically alloyed powders were compressed in a die with the sample size of 125mm length at a pressure of 300MPa by using the hydraulic press. The compressed samples were sintered in a furnace at a temperature below the melting point of aluminium. To increase the sintering property, samples were kept for two hours in an argon environment before being cooled in a furnace. The hardness, tensile strength, and wear test evaluations and property evaluations are performed on the samples of the manufactured aluminium composite. This study shows that addition of Zn and SiC to Al showed superior properties and better microstructure than pure Aluminium.
Modeling a pilot-scale bio-geo-filter for removing soluble nitrate
Authors: Sirouspour Somayeh , Parvinnia Mohammad , Shokrollahi Ardeshir , khalili Reza
Published: February 2023

This study uses alternate layers of non-woven geotextile and granular soil to remove soluble nitrate. The mixing weight ratios of PRB materials are 25% sand, 25% anthracite, 20% zeolite, 20% iron filings, and 10% poplar sawdust. Synthetic wastewater with an initial nitrate concentration of 100 mg/l is introduced to the filter over 25 minutes of the filter breakthrough curve (BTC). The BTC from the column test is assumed as a normal curve and the obtained longitudinal dispersion coefficient is equal to 1×10− 7m2/s. The filter reduces the amount of nitrate by 99% within nine days. CTRAN/W software properly estimates the contaminant transport in the filter. However, the BTC obtained by the software cannot estimate the total time for a complete breakthrough under laboratory conditions. At the same time, it can determine the nitrate breakthrough time close to the experimental model.
“No one would give me that job in Australia”: When professional identities intersect with how teachers look, speak and where they come from
Authors: Nigar Nashid , Kostogriz Alex , Gruney Laura , Janfada Mahtab
Published: February 2023

The article investigates how non-native English-speaking teachers’ (NNESTs) professional identities can be affected by their employment experiences in Australia. Qualitative analysis of narrative data provided by a group of NNESTs demonstrates how their professional identities were negatively affected by hiring discrimination, which also had psycho-emotional impacts on their professional selves. Socio-cultural representations of race, English language use, gender, and other cultural attributes convergingly contributed to their unemployment despite meeting country-specific eligibility criteria to be English as a Second Language (ESL) teachers. The interplay between their professional identities and socio-cultural constructs took shape “as modalities of power implicated in the historically specific processes—economic, political, and cultural” (Brah, 2014, p. 110), which included discourses of native-speakerism, neo-racism, post-colonialism, neoliberalism, and multiculturalism.
Social2Mobility - policy brief
Authors: Sommer Carsten , Henkel Franziska , Fischer Alena , Lanzendorf Martin , Rozynek Caroline , Engbers Moritz , Geschwinder Klaus , Gapski Jörg , Dietrich Antje-Mareike , Meier Nicolai
Published: February 2023

Mobil zu sein ist eine wesentliche Voraussetzung, um am gesellschaftlichen Leben teilzuhaben. Da Mobilität jedoch stets mit Kosten verbunden ist, stellt finanzielle Armut eine Barriere für soziale Teilhabe dar. Im Projekt Social2Mobility stand daher der Einfluss geringer finanzieller Mittel auf die Mobilität und somit auch auf die soziale Teilhabe im Fokus...
Single-crystal analysis of La-doped pyromorphite [Pb5(PO4)3Cl]
Authors: Sordyl Julia , Rakovan John , Burns Peter C. , Topolska Justyna , Włodek Adam , Szymanowski Jennifer E.S. , Sigmon Ginger E. , Majka Jarosław , Manecki Maciej
Published: February 2023

Rare earth elements (REE) in calcium apatite have been widely described in the literature. Based on the investigations of minerals and their synthetic analogs, the mechanism of substitution of REE3+ for Ca2+ and their structural positions are well established. Although the presence of REE in natural pyromorphite has been reported, the structural response of substitution of REE3+ for Pb2+ is not established. A better understanding of REE-rich Pb-apatite may facilitate the potential use of this mineral in industrial processes. Two La-doped pyromorphite analogs [Pb5(PO4)3Cl] and two control pyromorphite analogs (with the absence of La) were synthesized from aqueous solutions at 25 °C. Na+ and K+ were used as charge-compensating ions to facilitate the incorporation of trivalent REE cations (La3+ + Na+ ↔ 2Pb2+ and La3+ + K+ ↔ 2Pb2+). Microprobe analysis, scanning electron microscopy, and Raman spectroscopy were used to confirm the purity of obtained phases. High-precision crystal structure refinements (R1 = 0.0140–0.0225) of all four compounds were performed from single-crystal X-ray diffraction data. The La content varied from 0.12(1) to 0.19(1) atoms per formula unit with the counter ions of K+ and Na+, respectively. Both substituting ions were accommodated at the Pb1 site only. By comparing the La-doped pyromorphite analogs with their control samples, it was possible to detect small changes in bond distances and polyhedral volumes caused by the La substitution. Variations in individual and mean interatomic distances reflected the cumulative effect of both the amount of substitution and ionic radii of substituting ions (La3+, Na+, and K+).
Sensitivity of a collisional single-atom spin probe
Authors: Nettersheim Jens , Bouton Quentin , Adam Daniel , Widera Artur
Published: February 2023

We study the sensitivity of a collisional single-atom probe for
ultracold gases. Inelastic spin-exchange collisions map information
about the gas temperature T or external magnetic field B onto the
quantum spin-population of single-atom probes, and previous work showed
enhanced sensitivity for short-time nonequilibrium spin dynamics [Phys.
Rev. X 10, 011018 (2020)]. Here, we numerically investigate the
steady-state sensitivity of such single-atom probes to various
observables. We find that the probe shows distinct sensitivity maxima in
the (B,T) parameter diagram, although the underlying spin-exchange rates
scale monotonically with temperature and magnetic field. In parameter
space, the probe generally has the largest sensitivity when sensing the
energy ratio between thermal energy and Zeeman energy in an externally
applied magnetic field, while the sensitivity to the absolute energy,
i.e., the sum of kinetic and Zeeman energy, is low. We identify the
parameters yielding sensitivity maxima for a given absolute energy,
which we can relate to a direct comparison of the thermal
Maxwell-Boltzmann distribution with the Zeeman-energy splitting. We
compare our equilibrium results to nonequilibrium experimental results
from a single-atom quantum probe, showing that the sensitivity maxima in
parameter space qualitatively prevail also in the nonequilibrium
dynamics, while a quantitative difference remains. Our work thereby
offers a microscopic explanation for the properties and performance of
this single-atom quantum probe, connecting thermodynamic properties to
microscopic interaction mechanisms. Our results pave the way for
optimization of quantum-probe applications in (B,T) parameter space
beyond the previously shown boost by nonequilibrium dynamics.
Hypericum L. Cinsine Ait Bazı Türlerin Uçucu Yağlarının Antibakteriyel Etkisi
Authors: KARAMAN Altuğ , TAŞAR Neslihan , YAZDIÇ Ferit Can , GEDİK Osman
Published: February 2023

Bitkilerden elde edilen biyolojik aktif bileşenlerin incelenmesi son zamanlarda en çok araştırılan
konular arasındadır. Türkiye florasının çok zengin bir yapıya sahip olması, bu coğrafyada yetişen
bitkilerin araştırılmasının önemli olduğunu göstermektedir. Bu çalışmada, kimyasal bileşen
olarak eski ve yaygın bir kullanım alanına sahip olan aynı zamanda önemli bir tıbbi bitki olan
Hypericum cinsine ait 3 taksondan elde edilen uçucu yağlar antibakteriyel etkileri yönüyle
araştırılmıştır. Hypericum spectabile Jaub. & Spach (endemik tür), H. scabrum L., H. venustum
Fenzl. türlerinin uçucu yağları distilasyon yöntemi kullanılarak elde edilmiştir. Elde edilen bu
yağların antibakteriyel etkileri, in vitro olarak birçok ilaca direnç gösterdiği bilinen; Enterobacter
aerogenes (ATCC 13048), Enterococcus faecalis (ATCC 29212), Salmonella enteritidis (ATCC
13075), Staphylococcus aureus subsp. aureus (ATCC 25923), Escherichia coli (ATCC 25922)
ve Serratia marcescens (ATCC 13880) patojen bakterileri kullanılarak araştırılmıştır. Türlerin
farklı uçucu yağları, çeşitli mikroorganizmalara karşı antibakteriyel aktivite için oyuk agar testi
kullanılarak analiz edilmiştir. Tüm uçucu yağların test edilen tüm patojen strainlerine karşı
değişen oranlarda (4,80±0,87-27,73±1,27 mm) aktivite gösterdiği gözlenmiştir. Bu türler,
literatürde antibakteriyel aktivite açısından yeni değerlendirilen türler arasında gösterilebilir.
NEW APPROACHES TO THE USE OF SPROUTED GRAIN IN NUTRITION
Authors: Timakova R. , Il'yuhin R. V.
Published: February 2023

The use of sprouted grain, pretreated with small doses of gamma radiation, contributes
to the increase in the nutritional value of food
TECHNOLOGICAL ASPECTS OF OBTAINING GLUTEN-FREE CEREAL PRODUCTS BASED ON BIOCATALYTIC AND HYDROTHERMOMECHANICAL PROCESSES
Authors: Sharikov A. Yu. , Ivanov V. V. , Sokolova E. N. , Amelyakina M. V. , Serba Elena
Published: February 2023

Gluten-free snacks technology based on the enzymatic hydrolysis of wheat proteins by
specific proteases and extrusion of the hydrolysate in a mixture with other gluten-free raw
materials has been developed. It’s shown that increase of the hydrolysate content in the
extruded mixture from 15 to 35% deteriorates the structural and mechanical characteristics of
the extrudates. The technical solution to this problem is the use of a system for steam from the
extruder chamber, which makes it possible to process high-moisture mixtures without loss of
product quality.
PROSPECTS FOR THE USE OF PEPPERMINT (M. PIPERITA) IN SPECIALIZED FOOD PRODUCTS
Authors: Golub Olga , Paymulina A. V.
Published: February 2023

Objective: to assess the prospects for using peppermint (M. piperita) in the development and production of specialized food products through a content analysis of various sources of information about the biologically active substances contained in it. The bioactive components of M. piperita have a positive effect on the human body, namely: antibacterial, antifungal, antiviral, etc.
Water reuse in agriculture: a case study in Konya Closed Basin
Authors: Yazici Burcu , Taner Hatice
Published: February 2023

Konya Closed Basin (KCB) is one of the hotspots in Turkiye due to intense agricultural activities and high demand for irrigation. Over 90% of the total available water is consumed for irrigation of which is predominantly met from groundwater bodies. Therefore, current agricultural practices need to be revisited and water reuse should be taken into consideration to sustain water resources and the ecosystem of the basin. To this end, a case study has been carried out in KCB on reclaimed water (RW) use for sugar beet and corn production. The first-term results revealed no adverse impacts on soil conditions irrigated with RW. Corn production increased by 7% with RW irrigation. Although a drop of 9% was observed in sugar beet yield with RW, the overall results obtained for the first-term period, both for corn and sugar beet, indicate that better yields could be attained through RW in addition to providing an alternative water resource, particularly in water-scarce regions.
The changing rules of the composite roughness in drainage pipelines with sediments
Authors: Sun Bin , Yang Runzhi , Tong An , Chen Shizhe , Li Zhiwei
Published: February 2023

The deposition of sediments with different roughness increases uncertainty in the prediction of effective Manning's n (also known as composite roughness). In this paper, the changing rules of composite roughness and the influence on the discharge capacity of drainage pipes under different flows and slopes were studied by experimental measurement and numerical simulation. When the Froude number is less than 1, the composite roughness decreases gradually with the increase of flow. When the Froude number is more than 1, the composite roughness increases at first and then decreases with the increase of flow. It also showed that the different bed roughness has a great influence on composite roughness, which affects the hydraulic characteristics of flow. The composite roughness of the drainage pipe increases as the bed roughness increases. The water surface rises and the average velocity decreases under a certain slope and flow. The formulas for calculating the composite roughness are obtained by analogy analysis, which can provide theoretical support for the design of the drainage pipeline.
A new method for measurement and calculation of unit width suspended sediment transport rate
Authors: Zheng Haolei , Sun Zhilin , Zheng Rong , Sun Lixia
Published: February 2023

The unit width suspended sediment transport rate is the basis for calculating river sediment flux, which provides an important measure of river hydrology and morpho-dynamics. By integrating the vertical distribution of the suspended sediment concentration and logarithmic flow velocity, the formula for unit width suspended sediment transport rate is presented. Based on this formula, the calculation of the near-bed relative transport rate missing in field measurement is given. Moreover, a new stratified water sampling device is invented for suspended sediment transport rate measurement by the six-point method at Mengsheng hydrological station in the Lancang River basin. Results of 24 sets of measurements show that the near-bed relative sediment transport rate ranges from 3.4 to 10.7% and is significantly positively correlated with the suspension index. The unit width suspended sediment transport rate measured by the traditional depth integrating method is on average 15.0% smaller than that calculated by the theoretical formula, which can be a reference for correcting the sediment transport rate based on the traditional method. This work provides a new device and a new method for the measurement and calculation of the unit width transport rate of suspended sediment, which has theoretical and practical significance.
Organizações políticas internacionais: os desafios da cooperação internacional: Breve estudo sobre dez organizações internacionais
Authors: Arena Maria do Céu de Pinho Ferreira Pinto
Published: February 2023

As organizações internacionais (OI) são atores centrais do sistema internacional, pois são fóruns onde as ideias se desenvolvem e adquirem legitimidade e se transformam em decisões que têm impacto na sociedade internacional. As organizações internacionais são um fórum de diálogo entre os seus membros e permitem o encontro de soluções para problemas que lhes são comuns e que afetam a comunidade. De resto, a expansão das suas tarefas reflete a sua capacidade de influência. Contudo, as OI ressentem-se de algumas deficiências: a sua autoridade pode ser ténue e descentralizada; a ausência de uma cultura comum robusta e a impossibilidade de impor decisões ou medidas coercivas. Este livro centra-se nas mais importantes e representativas organizações políticas internacionais. Apresenta um breve estudo sobre as Nações Unidas, o Conselho da Europa (CoE), a NATO, a Organização sobre a Segurança e Cooperação na Europa (OSCE), a Comunidade dos Países de Língua Portuguesa (CPLP), a União Africana (UA), a Organização dos Estados Americanos (OEA), a Liga Árabe, a Associação de Nações do Sudeste Asiático (ASEAN) e a Organização de Cooperação de Xangai. As organizações são analisadas tendo em conta a sua génese histórica, o contexto da sua criação, a sua estrutura orgânica e as suas principais áreas de atuação.
The BIM Implementation for Preparing Mutual Check-0 (MC-0) Documents in the Building Development Project of Edusmart Soerojo Hospital Magelang
Authors: A'la Rafi Nurul
Published: February 2023

The development of Building Information Modeling (BIM) technology in the construction sector has been a solution to the problem of preparing planning documents that often occur. It can lower the discrepancy between the value of the planning contract and the value of the building construction implementation contract. The BIM system defines the physical characteristics of a design model into information that can be implemented at several stages of construction work, one of which is Mutual Check 0 (MC-0). Preparing documents (MC-0) on construction projects aims to adjust planning documents in the form of analysis of work items, working drawings, and calculation of the volume of work that affects the contract value. In a short time, the parties involved in construction work, such as contractor service providers and supervisory consultants, need to check the planning volume to match the actual volume of work in the field. In the Edusmart Soerojo Hospital Magelang Building construction project, Building Information Modeling (BIM) is used to check the volume of work. This checking process is assisted by using the Autodesk Revit 2021 software. This study reviews the effectiveness of BIM in preparing documents (MC-0) using a comparative descriptive method, comparing the volume of work in contract documents with the actual volume in the field. This study's results show a difference between adding and reducing volume in the field. The addition occurred in earthworks and excavation, foundation structure, 1st-floor structure, 2nd-floor structure, roof floor structure, and Ground Water Tank (GWT) work. In contrast, the decrease occurred in the sloof understructure and roof work. The total volume obtained indicates a difference in the contract value of the structural work, which has increased by 9.47%. The initial planning contract value was IDR 5,569,152,785.40, an increase of IDR 527,623,004.49 to IDR 6,096,775,789.89.
The Impact of Dam Reservoir on Flood Reduction (Case Study Logung Reservoir, Kudus, Central Java)
Authors: Fajriani Qonaah Rizqi , Nur Utari Khoirunnisa Ulya , Nurulita Ria
Published: February 2023

The Indonesian government targeted building 65 reservoirs and dams in 2015-2022. The purpose is to maintain food security facing the long-term climate crisis, besides reducing the impact of a flood. Logung  Reservoir is located on the Logung River, Kudus, Central Java. This earth-fill dam was built to solve the flood and drought problems in Kudus. However, the existence of the Logung Reservoir gives a risk to the downsteam area. The purpose of this research is to study flood reduction and the risk of overtopping, which can cause a dam break, and to calculate the Logung Reservoir spillway's performance in handling floods. This study is based on four main steps: the rainfal-runoff modelling, the extreme rainfall estimation, the hydrograph inflow of the dam estimation, and the evaluation of food reduction. The results of the 1000-year rainfall analysis and PMP for the Logung dam basin were 409 mm and 704 mm, respectively. Rainfall distribution is made using ABM, and effective rainfall is calculated by the SCS method. Land use analysis in the Logung dam watershed obtained a CN-II of 71.4 and a CN-III of 85.2. The rainfall-runoff transformation method used a unit hydrograph. The Nakayasu and Gama-I unit hydrographs show significant differences from the peak discharge, although not for the time base. The flood hydrograph design affects the reservoir performance. The reservoir flood routing results a dumping efficiency of 35% for the 1000-year and 21% for PMF. The 1000-year flood routing shows that there was no risk of overtopping. The highest water level on the PMF flood routing at +94.1. Several solutions can prevent overtopping by reducing inflow discharge through small dams upstream, increasing the green area, or modifying spillway structure.
Resenha do livro de Beck. Sociedade de risco: rumo a uma outra modernidade, de ulrich beck
Authors: Almeida Suruagy da Silva Denis
Published: February 2023

Resenha crítica à Obra Sociedade de Risco: Rumo a uma outra modernidade, de Ulrich Beck.
Buenas prácticas de ordeño
Authors:   Corporación Colombiana de Investigación Agropecuaria, (Colombia)
Published: February 2023

Recomendaciones prácticas para la obtención de una buena calidad e inocuidad de la leche en el ordeño manual
Ola invernal: tecnologías para recuperar el sector agropecuario
Authors:   Ministerio de Agricultura y Desarrollo Rural, Bogotá (Colombia),   Corporación Colombiana de Investigación Agropecuaria, (Colombia)
Published: February 2023

San Miguel Arcángel, es la finca de Moisés Querub, un productor de Chimichanga, Cesar, que hoy en día se recupera de los graves daños causados por la ola invernal de 2010.
Confluent and Reticulated Papillomatosis Resembling Pityriasis Versicolor and Acanthosis Nigricans: Case Report
Authors: David Abhinav , Srivastava Divyanshu
Published: February 2023

Confluent and reticulated papillomatosis (CARP) is a rare disorder mostly seen in young adults. It is characterized by persistent dull-brown, centrally confluent, peripherally reticulate macules and papules, which coalesce to form patches and plaques on the upper trunk and neck. It is commonly confused with pityriasis versicolor and acanthosis nigricans (AN). We report the case of a 15-year-old male with multiple pigmented confluent and reticulated patches and plaques on the neck, trunk, and chin for 3 years, which was successfully treated with oral minocycline, resulting in complete resolution of lesions within 2 weeks. The morphology of CARP resembles that of various other dermatological conditions such as AN and pityriasis versicolor, and, as a result, it is frequently misdiagnosed and mistreated, leading to social embarrassment for the patient. Therefore, it is prudent for dermatologists to carry out comprehensive clinical and histopathological assessments to facilitate prompt diagnosis and management of this condition.
Usability and Utility of a Mobile Applet to Improve Medication Adherence Among Cancer Patients in Shanghai: Qualitative Study (Preprint)
Authors: Ni Chenxu , Wang Yi-fu , Zhang Yun-ting , Qian Hong , Xu Qing , Lu Wen-jie , Shen Fu-Ming , Li Dong-Jie , Huang Fang
Published: February 2023

BACKGROUND

Medication adherence is crucial to the efficacy of antitumor drugs. The wechat applet, also known as the Mini Program, similar to app but has great advantages. The development and use of wechat applet provide follow-up convenience for cancer patients.

OBJECTIVE

This study aimed to assess the usability and utility of a newly developed medication adherence wechat applet—DolphinCare—among cancer patients in Shanghai.

METHODS

A qualitative methodology was utilized to obtain an in-depth understanding of users’ experiences when using DolphinCare from the usability and utility aspects. The development phase consisted of two parts: alpha and beta testing. The medication adherence of patients was evaluated using the eight-item Morisky Medication Adherence Scale (MMAS-8).

RESULTS

We included participants who had an electronic health literacy scale (eHEALS) of ≥50%, and a total of 20 participants were interviewed consecutively. We used the motivation, ability and trigger categories of the Fogg behaviour model to explore why patients adopted and adhered to our applet using data from the qualitative interviews and usage data. There were usabilities and utilities that could improve the patients’ medication adherence and the management of adverse drug reactions (ADRs).

CONCLUSIONS

This study provides beginning evidence of the usability and utility of this type of applet in cancer patients.
Sociohistorical Derivatives of Conflict Related Thematic Foci in Chimamanda Adichie’s Purple Hibiscus
Authors: PhD ONYEKA IKE,
Published: February 2023

The debilitating smokes of sociopolitical conflicts re-enacted in Chimamanda Adichie’s Purple Hibiscus are unpleasant derivatives of remarkable sociohistorical fires whose embers were fanned by certain political and socioeconomic conditions. After over six decades of independence from British colonial adventure, the fires are still burning while the firefighters and householders who are duty-bound to extinguish them pretend not to discern the infernos let alone direct proportionate efforts to either ameliorate or extinguish them. Thus while the fires continue to devour the House, the supposedly householders and firefighters rather compete in the reckless pursuit of elusive rats and rodents, ignoring the hapless lamentations of the citizenry who scream out the inherent and imminent dangers to no avail. Like some other indigenous creative writers, Adichie has just done so with the instrumentality of her literary rendition in the aforementioned fiction. The study postulates that the unamusing pretenses and prevarications, even indifference of the firefighters and householders portend grave repercussions for the present and for posterity. Deploying the critical machinery of New Historicism, the research demonstrates how the Nigerian State refuses to learn from certain costly and consequential sociohistorical conflicts, thereby allowing a continuous repetition of such sour manifestations to the detriment of many.