bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mobility-Aware Intelligent Sampling and Improved African Buffalo Optimization-assisted Offloading in 5G-Fog Environment
Authors: S Balasubramanian , T Meyyappan 
Published: March 2024

Abstract

IoT in healthcare is revolutionizing the industry by providing real-time monitoring, remote patient care, and improved diagnosis and treatment options. Healthcare applications are latency sensitive and have major issues such as real-time response delay, latency and bandwidth overuse. In emergency scenarios, patient status control and monitoring directly impact lives. This research work proposes a novel technique: Rigorous execution of healthcare APplication using grey wolf-Improved african buffalo optimization-based offloading Decision (RAPID) algorithm to reduce the latency in fog environment. The RAPID approach generates the immediate response and forwards it to the caretakers by performing an offloading decision using the proposed Fog manager and a novel hybrid Grey Wolf-Improved African Buffalo Optimization (GW-IABO) algorithm with Intelligent Sampling technique and 5G communication. The proposed algorithm, Grey wolf optimization (GWO), evaluates the fitness of the solution, and Improved African Buffalo (IABO) explores and exploits the solutions by enhancing inertia to find the best solution in the optimal area. Intelligent sampling finds the optimal area to search for optimal solution. The RAPID approach employs Intelligent Sampling to reduce response time significantly and hence improve the efficiency of the proposed hybrid GW-IABO algorithm. Thus, the proposed hybrid algorithm effectively offloads to reduce the response time.
Three new iron-phosphate minerals from the El Ali iron meteorite, Somalia: Elaliite Fe82+Fe3+(PO4)O8, elkinstantonite Fe4(PO4)2O, and olsenite KFe4(PO4)3
Authors: Herd Christopher D.K. , Ma Chi , Locock Andrew J. , Saini Radhika , Walton Erin L. 
Published: March 2024

Abstract
Petrologic investigation of the El Ali IAB iron meteorite (Somalia) revealed three new minerals: elaliite [Fe82+Fe3+(PO4)O8, IMA 2022-087], elkinstantonite [Fe4(PO4)2O, IMA 2022-088], and olsenite [KFe4(PO4)3, IMA 2022-100]. The name elaliite recognizes the occurrence of this mineral within the El Ali meteorite, originally located at 4° 17′ 17″N, 44° 53′ 54″E. Elkinstantonite is named after Linda (Lindy) Elkins-Tanton (b. 1965), a planetary scientist and professor in the School of Earth and Space Exploration at Arizona State University. The name olsenite is in honor of Edward J. Olsen (1927–2020), the former Curator of Mineralogy and Meteorites at the Field Museum of Natural History in Chicago (1960–1991). The new minerals and their names have been approved by the Commission on New Minerals, Nomenclature and Classification of the International Mineralogical Association. The holotype specimens of elaliite, elkinstantonite, and olsenite consist of the polished block mount with accession number MET11814/2-1/EP1 deposited in the University of Alberta Meteorite Collection. Elaliite, elkinstantonite, and olsenite occur along with wüstite, troilite, sarcopside, and Ca-bearing graftonite within inclusions in the iron-nickel metal (kamacite, 9.4 wt% Ni) that makes up the bulk of the El Ali sample. The empirical formulas determined by electron probe microanalysis for elaliite, elkinstantonite, and olsenite are: (Fe7.9432+Fe1.0203+Cr0.010Ni0.006Ca0.004Mn0.004)Σ8.987(P0.932Si0.077S0.005)Σ1.014O12, (Fe3.9472+Mn0.016Ni0.003Ca0.001Cr0.001)Σ3.968(P1.986Si0.014S0.013)Σ2.013O9, and (K0.820Na0.135Ca0.004)Σ0.959(Fe3.829 Mn0.050)Σ3.879(P2.972S0.058Si0.017)Σ3.047O12, respectively. Electron backscatter diffraction was used to confirm the crystal structures of the three new minerals. Raman spectra for all three minerals are also presented.
Geochemical characteristics of mineral inclusions in the Luobusa chromitite (Southern Tibet): Implications for an intricate geological setting
Authors: Xiong Fahui , Zoheir Basem , Xu Xiangzhen , Guo Guolin , Frische Matthias , Yang Jingsui 
Published: March 2024

Abstract
The Luobusa chromitite and ophiolite present a captivating geological feature marked by peculiar mineralogical and geochemical characteristics. Abundant platinum-group minerals (PGM), base-metal sulfides (BMS), and PGE-sulfides and alloys in the chromitite reveal a multistage genesis, encompassing partial mantle melting, melt-rock interactions, and dynamic shifts in oxygen and sulfur fugacities (fO2, fS2). The geochemical signatures and PGE patterns of these mineral inclusions elucidate the evolutionary process of the Luobusa ophiolite, tracing its transition from a sub-ridge environment to a sub-arc setting. The variable ΣPGE values (40–334 ppb) in chromitite, coupled with notably lower ΣPGE values (10–63 ppb) in dunite imply extensive melt fractionation and melt-rock interactions. Coexisting well-crystallized Os-Ir alloys alongside interstitial BMS likely reflect low fS2 and high temperatures during the early formational stages, whereas abundant anhedral or irregular sulfarsenide and pyrite inclusions in chromite point to lower temperatures and higher fS2 during the late stages. The trace element composition of pyrite inclusions displays some of the characteristics of mid-ocean ridge (MOR) and oceanic island rocks, manifesting the interplay of diverse magmatic sources during the evolution of the Luobusa ophiolite.
Gliadin Proteins in Muffins with Quinoa Flour
Authors: Gojkovic Cvjetkovic Vesna S. , Skuletic Dragana M. , Marjanovic-Balaban Zeljka R. , Vujadinovic Dragan P. , Rajic Danijela Z. , Tomovic Vladimir M. 
Published: March 2024

Partial replacement of wheat flour in foodstuffs is of great importance in the food industry. Muffins are a type of semi-sweet cake that is traditionally made from wheat flour. They are especially favored by children and senior citizens. Muffins have a long shelf life, which also contributes to their popularity. However, gluten, the main protein in wheat flour, is commonly associated with celiac disease. Gluten consists of two fractions: gliadins and glutenins.
In this experiment, the original muffins contained 100% wheat flour. Then, we replaced a portion of wheat flour with 25, 50, and 75% quinoa flour. The samples were stored for 0, 2, and 4 weeks. After that, gliadin proteins were extracted with 70% (v/v) ethanol. We separated gliadin using a high-performance liquid chromatograph (Agilent Technologies 1260 Infinity, USA) and measured the total amount of gliadin protein and the amount of gliadin proteins per fraction. The absorbance tests were conducted at 210 nm.
The gliadin protein content was significantly reduced to the wheat vs. quinoa ratio of 50:50 because quinoa is gluten-free, even though it is rich in protein. During the storage time of 0, 2, and 4 weeks, the protein content fell down in the samples with the wheat vs. quinoa ratios of 100:0, 75:25, and 50:50. However, the muffins with 25% wheat flour and 75% quinoa demonstrated an increase in gliadin content.
The results obtained could be a good starting point for the development of high-fiber, gluten-free, and more nutritionally valuable muffins.
Pneumocentrifugal Classification of Dispersed Particles during Grain Milling
Authors: Terekhova Olga , Duyunova Yana 
Published: March 2024

Russia enjoys a stable demand for flour products, including those obtained by the dry method of starch and gluten production. This study featured pneumocentrifugal parameters of fine particles in a spiral separator that classified milled grain into fractions, separated the solid phase from air, and identified the high-protein flour fraction in the flow.
Pneumatically classified flour was subjected to mathematical modeling and experimental research. The analysis of movement and deposition of particles in the working area covered particle mass, density, air-flow rate, and geometry, as well as their effect on the trajectory of particle movement and deposition. The experiment also involved the effect of air-flow rate and air-mix concentration on the classification efficiency.
Particles from various grinding and break systems demonstrated classification modes that differed in soaring rate, size, and density. At an air-flow rate of 6–8 m/s, turn 1 of the spiral separator had the ratio of the internal coil radius to the inner pipe diameter as r1/dpipe = 7.9; it was r1/dpipe = 7 on turn 2 and fell down to r1/dpipe = 6.25 on turn 3; for all subsequent turns, the ratio was r1/dpipe < 5. Under these conditions, the fraction reached 160 µm and included small high-protein flour fractions with a particle size of 17–20 µm. The percentage of product accumulated on turns 1, 2, and 3 was 80, 12, and 8%, respectively. The maximal product separation efficiency of the third drain system was as high as 98% at an input rate of 6 m/s. The maximal separation efficiency for premium flour reached 99.2% at an input rate of 4.2 m/s.
The separator proved efficient in classifying wheat grain flour into fractions as it was able to separate high-protein fraction and dispersed particles from the air flow. The separator could be used both as an independent device and as part of a complex technological scheme at the stage of pneumatic separators and unloaders.
Genetic Factors and MicroRNAs in the Development of Gallbladder
Cancer: The Prospective Clinical Targets
Authors: Quraishi Roshni , Sanyal Somali , Dwivedi Medha , Moitra Monika , Dwivedi Manish 
Published: March 2024

Abstract:
Gallbladder cancer (GBC) is an uncommon condition in which malignant (cancer) cells
are detected in gallbladder tissue. Cancer is often triggered when normal cells turn malignant and
begin to spread. Cancer can also be caused by genetic anomalies that result in uncontrolled cell
proliferation and tumor development. MicroRNAs (also known as miRNAs or miRs) are a group
of small, endogenous, non-coding RNAs of 19-23 nucleotides in length, which play a key role in
post-transcriptional gene regulation. These miRNAs serve as negative gene regulators by supervising
target genes and regulating biological processes, including cell proliferation, migration, invasion,
and apoptosis. Cancer development and progression relate to aberrant miRNA expression.
This review demonstrated the implication of various genetic factors and microRNAs in developing
and regulating GBC. This suggests the potential of genes and RNAs as the diagnostic, prognostic,
and therapeutic targets in gallbladder cancer.
Predicting One-year Recurrence of HCC based on Gadoxetic Acid-enhanced
MRI by Machine Learning Models
Authors: Lin Yingyu , Wang Jifei , Chen Yuying , Zhou Xiaoqi , Tang Mimi , Chen Meicheng , Song Chenyu , Xu Danyang , Peng Zhenpeng , Feng Shi-Ting , Zhou Chunxiang , Dong Zhi 
Published: March 2024

Objective:
Accurate prediction of recurrence risk after resction in patients with Hepatocellular Carcinoma (HCC) may help to individualize therapy strategies.
This study aimed to develop machine learning models based on preoperative clinical factors and multiparameter Magnetic Resonance Imaging
(MRI) characteristics to predict the 1-year recurrence after HCC resection.

Methods:
Eighty-two patients with single HCC who underwent surgery were retrospectively analyzed. All patients underwent preoperative gadoxetic acidenhanced
MRI examination. Preoperative clinical factors and MRI characteristics were collected for feature selection. Least Absolute Shrinkage
and Selection Operator (LASSO) was applied to select the optimal features for predicting postoperative 1-year recurrence of HCC. Four machine
learning algorithms, Multilayer Perception (MLP), random forest, support vector machine, and k-nearest neighbor, were used to construct the
predictive models based on the selected features. A Receiver Operating Characteristic (ROC) curve was used to assess the performance of each
model.

Results:
Among the enrolled patients, 32 patients experienced recurrences within one year, while 50 did not. Tumor size, peritumoral hypointensity,
decreasing ratio of liver parenchyma T1 value (ΔT1), and α-fetoprotein (AFP) levels were selected by using LASSO to develop the machine
learning models. The area under the curve (AUC) of each model exceeded 0.72. Among the models, the MLP model showed the best performance
with an AUC, accuracy, sensitivity, and specificity of 0.813, 0.742, 0.570, and 0.853, respectively.

Conclusion:
Machine learning models can accurately predict postoperative 1-year recurrence in patients with HCC, which may help to provide individualized
treatment.
Uporczywa terapia jako czynnik determinujący zjawisko wypalenia zawodowego u pielęgniarek
Authors: Rybka Mariola , Pytel Wioletta 
Published: March 2024

Wstęp. Wyniki współczesnych badań pokazują, że zjawisko wypalenia zawodowego dotyczy różnych grup zawodowych i specjalności. Wspólnym wyróżnikiem tych zawodów jest ich psychospołeczny charakter, który oznacza wymóg stałej koncentracji na problemach innych osób. Zjawisko to stanowi poważny problem, z którym borykają się pielęgniarki uczestniczące w procesie terapeutycznym skierowanym wobec pacjentów przewlekle chorych, a szczególnie gdy przybierają znamiona uporczywej terapii.
Cel. Celem badań była analiza opinii personelu pielęgniarskiego na temat stosowania terapii daremnej i jej wpływu na zjawisko powstania wypalenia zawodowego.
Materiały i metody. Respondenci stanowili grupę 100 pielęgniarek/rzy, którzy pracowali w oddziale Intensywnej Terapii i Opieki Paliatywnej w Szpitalu Wielospecjalistyczny im. Dr Ludwika Błażka w Inowrocławiu. Wiek uczestników badania mieścił się w przedziale 25 do 60 lat. Metodą wykorzystaną w powyższej pracy był sondaż diagnostyczny. Narzędziem badawczym był kwestionariusz do mierzenia skali Odczuć Zawodowych (MBI).
Wyniki. Dla zdecydowanej większości ankietowanych, czyli 85% praca z pacjentami u kresu życia stanowi źródło emocjonalnego wyczerpania. Ponadto respondenci wskazywali na najczęściej pojawiające się objawy o największym nasileniu to zmęczenie i poczucie niezadowolenia, spadek motywacji do pracy oraz satysfakcji z jej wykonywania. Symptomy zmęczenia pojawiały się u 48% pomimo nocnego odpoczynku. 69% badanych cało-dzienna praca z pacjentami w ciężkim stanie klinicznym odczuwa wyczerpanie fizyczne i psychiczne. Dla większości ankietowanych, czyli 65% praca z bezpośrednim kontaktem z pacjentem wiąże się z silnym stresem. Prawie połowa badanych, bo 45% odczuwa wyczerpanie emocjonalne określając jako funkcjonowanie na skraju sił.
Wnioski. Do najczęściej wskazywanych czynników stresogennych w pracy pielęgniarek/pielęgniarzy są: nadmiar obowiązków, odpowiedzialność za zdrowie drugiego człowieka, udział w działaniach, gdzie terapia nie przynosi oczekiwanych efektów.
STRATEGI KOMUNIKASI PEMASARAN PATRON WEDDING ORGANIZER MELALUI MEDIA SOSIAL INSTAGRAM
Authors: Aulia Anugerah Tesa , Widiarti Pratiwi Wahyu 
Published: March 2024

Tujuan dari penelitian ini untuk: (1) mendiskripsikan strategi komunikasi pemasaran Patron Wedding Organizer melalui Instagram; dan (2) mengetahui peluang Patron Wedding Organizer dalam meningkatkan daya tarik client melalui media sosial Instagram sebagai sarana promosi. Penelitian ini menggunakan metode deskriptif pendekatan kualitatif. Penentuan informan menggunakan teknik purposive sampling. Informan dalam penelitian ini yaitu Komisaris, Direktur, dan Staf Marketing Patron Wedding Organizer. Teknik pengumpulan data menggunakan wawancara, observasi, dan dokumentasi. Teknik pemeriksan data dalam penelitian ini menggunakan triangulasi sumber. Hasil penelitian menunjukkan bahwa strategi komunikasi pemasaran Patron Wedding Organizer melalui media sosial Instagram sebagai berikut: (1) Patron Wedding Organizer selektif dalam pemilihan foto yang akan diunggah; (2) Mencari atensi followers dengan mengunggah foto pada waktu yang tepat; (3) Menggunakan caption yang dapat menceritakan foto tersebut; (4) Menggunakan fitur instastory untuk menarik perhatian followers. Lebih lanjut diketahui bahwa bagi Patron Wedding Organizer di era saat ini Instagram memiliki peluang yang besar untuk menarik minat client. Kata kunci: komunikasi, pemasaran, media sosial, Instagram, Patron Wedding Organizer
Complex Hospital-Based Electronic Prescribing–Based Intervention to Support Antimicrobial Stewardship: Qualitative Study
Authors: Cresswell Kathrin , Hinder Susan , Sheikh Aziz , Watson Neil , Price David , Heed Andrew , Pontefract Sarah Katie , Coleman Jamie , Beggs Jillian , Chuter Antony , Slee Ann , Williams Robin 
Published: March 2024

Background
Antimicrobial resistance (AMR) represents a growing concern for public health.

Objective
We sought to explore the challenges associated with development and implementation of a complex intervention designed to improve AMS in hospitals.

Methods
We conducted a qualitative evaluation of a complex AMS intervention with educational, behavioral, and technological components in 5 wards of an English hospital. At 2 weeks and 7 weeks after initiating the intervention, we interviewed 25 users of the intervention, including senior and junior prescribers, a senior nurse, a pharmacist, and a microbiologist. Topics discussed included perceived impacts of different elements of the intervention and facilitators and barriers to effective use. Interviews were supplemented by 2 observations of ward rounds to gain insights into AMS practices. Data were audio-recorded, transcribed, and inductively and deductively analyzed thematically using NVivo12.

Results
Tracing the adoption and impact of the various components of the intervention was difficult, as it had been introduced into a setting with competing pressures. These particularly affected behavioral and educational components (eg, training, awareness-building activities), which were often delivered ad hoc. We found that the participatory intervention design had addressed typical use cases but had not catered for edge cases that only became visible when the intervention was delivered in real-world settings (eg, variations in prescribing workflows across different specialties and conditions).

Conclusions
Effective user-focused design of complex interventions to promote AMS can support acceptance and use. However, not all requirements and potential barriers to use can be fully anticipated or tested in advance of full implementation in real-world settings.
Antigenic markers of T. gondii for chronic forms of toxoplasmosis in fertility age women
Authors: A. AL-Fakhar Suha , M. Ali Wifaq , Hasan Mohammed Ali Saad , Ismail A Mohammed Khalil , M. Mousa Jinan , Mushtag Zahraa , Nuri Yunis Nada 
Published: March 2024

Objective: This study aimed to assess the avidity of IgG antibodies against Toxoplasma gondii in fertile-aged women with a history of abortion. Using the recomLine Toxoplasma IgG Avidity kit, the research investigated the relationship between antibody avidity, T. gondii antigens (GRA1 and SAG1), and the number of abortions to enhance understanding of infection dynamics in this population.
Methods : Forty (40)fertile aged women (18-37years) with history of abortion and had positive results of IgG Abs by minividus form October 2021 to April 2022 ,Kit of recomLine Toxoplasma IgG Avidity form Mikrogen /Germany,item No.11010, was used ,which is a qualitative in vitro test for the determination the avidity of IgG antibodies against Toxoplasma gondii in human serum or plasma.
Results: Phase II of toxoplasmosis was positive of antibodies against different antigens detected by recomLine assay, no other significant relation was observed. Also, that there was no significant relation between the period of infection and avidity of IgG –Abs against different antigens of T.gondii detected by recomLine test. In addition The results showed that there was a significant relation between of the number of abortions to GRA1-antigen (P=0.012) and SAG1-antigen (P=0.003) .
Conclusion: There was a significant relation between of the number of abortions to GRA1 and SAG1-antigens detected by recomLine assay ,where increase in the positive results with the increase in the number of abortions.
Microbial Biotechnology: A Key Tool for Addressing Climate Change and Food Insecurity
Authors: Malkawi Hanan Issa , Kapiel Tarek Yehia Soliman 
Published: March 2024

Amidst escalating climate change and food insecurity concerns, exploring the potential of microbes offers a promising and sustainable solution. This review delves into the complex interplay between microbial communities and the dual challenge of environmental crisis and food security.
Ubiquitous microorganisms – from bacteria to fungi and archaea – shape our planet's ecosystems, playing a crucial role in soil health, nutrient cycling, and plant-microbe interactions. This review dissects diverse microbial habitats, highlighting their remarkable adaptability to varied environments.
It then underscores the reciprocal impacts of human-induced environmental changes on microbes and their habitats. Addressing these challenges, the review presents microbes as powerful allies in mitigating climate change. Their ability to sequester carbon, reduce greenhouse gas emissions, and enhance soil fertility is explored. Innovations like biofertilizers and biopesticides demonstrate the potential of microbial technologies to revolutionize agriculture and ensure global food security.
Concluding, the review emphasizes the symbiotic link between microbes and sustainable food production. Microbial technologies can adapt agriculture to changing climate conditions, addressing water scarcity and enhancing soil moisture retention. Their potential to boost productivity in both traditional and precision agriculture under diverse climatic conditions is highlighted.
This review calls for the urgent recognition and harnessing of microbial power for a sustainable future. Embracing microbial technologies not only fosters environmental stewardship but also paves the way for a resilient and resource-efficient agricultural future.
Biological characteristics of crustaceans Artemia sp. from the diverse hypergaline reservoirs of the Kulunda Plain
Authors: Vesnina Lyubov Viktorovna , Romanova Natalia Stanislavovna , Lassyy Mihail Vladimirovich , Vesnin Yuri Alexandrovich , Bezmaternyh Dmitriy Mihaylovich 
Published: March 2024

For the first time, biometric parameters of cysts and nauplii from populations of hypergaline lakes Bol’shoe Shklo and Malinovoe, and incubation features of cysts from populations of lakes Bol’shoe Shklo, Malinovoe, Maloe Yarovoe, Kulundinskoye, Kuchukskoye were determined. Significant inter-population differences in the biometric characteristics of Artemia sp. were revealed in all the lakes studied. The variability of the biometric parameters
of nauplii and artemia cysts is due to the physical and chemical differences in the living conditions of each studied population discovered during the study. The average values of cyst diameter and linear sizes of nauplii (Instar I) of the studied five populations were in the range of 237.4 ± 11.8 – 250.6 ± 14.3 microns, 412.9 ± 27.4 – 463.3 ± 24.6 microns, respectively. The smallest cysts were found in lake Bol’shoe Shklo and lake Malinovoe. The smallest nauplii were derived from the cysts of the population living in lake Bol’shoe Shklo. A high positive correlation was established between the sizes of cysts and nauplii of the studied artemia populations. Experiments to study the effect of the concentration of dietary salt (98.4% NaCl) on the hatchability of nauplii have shown that for populations of artemia from lakes Malinovoe, Kulundinskoye and Kuchukskoye environments with concentrations of 25 g/l were the most favorable for breeding nauplii, while lake Maloe Yarovoe had concentrations of 10 and 25 g/l. Cysts from lake Bol’shoe Shklo population showed identical excretion in all studied salt concentrations. The optimal environmental parameters for breeding nauplii vary depending on the origin of the population. The differences in the hatchability conditions of artemia nauplii should be taken into account during the experiments and especially for the successful incubation and cultivation of artemia in fish farms.