bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved control of Trialeurodes vaporariorum using mixture combinations of entomopathogenic fungi and the chemical insecticide spiromesifen
Authors: Dearlove Eleanor L. , Chandler David , Edgington Steve , Berry Shaun D. , Martin Gareth , Svendsen Claus , Hesketh Helen
Published: July 2024

Greenhouse whitefly (Trialeurodes vaporariorum) is a major global pest, causing direct damage to plants and transmitting viral plant diseases. Management of T. vaporariorum is problematic because of widespread pesticide resistance, and many greenhouse growers rely on biological control agents to regulate T. vaporariorum populations. However, these are often slow and vary in efficacy, leading to subsequent application of chemical insecticides when pest populations exceed threshold levels. Combining chemical and biological pesticides has great potential but can result in different outcomes, from positive to negative interactions. In this study, we evaluated co-applications of the entomopathogenic fungi (EPF) Beauveria bassiana and Cordyceps farinosa and the chemical insecticide spiromesifen in laboratory bioassays. Complex interactions between the EPFs and insecticide were described using an ecotoxicological mixtures model, the MixTox analysis. Depending on the EPF and chemical concentrations applied, mixtures resulted in additivity, synergism, or antagonism in terms of total whitefly mortality. Combinations of B. bassiana and spiromesifen, compared to single treatments, increased the rate of kill by 5 days. Results indicate the potential for combined applications of EPF and spiromesifen as an effective integrated pest management strategy and demonstrate the applicability of the MixTox model to describe complex mixture interactions.
Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning
Authors: Anh Nguyen Ky , Phat Nguyen Ky , Thu Nguyen Quang , Tien Nguyen Tran Nam , Eunsu Cho , Kim Ho-Sook , Nguyen Duc Ninh , Kim Dong Hyun , Long Nguyen Phuoc , Oh Jee Youn
Published: July 2024

Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehensive statistical modeling to discover potential biomarkers for the differential diagnosis of NTM infection versus TB. Urine samples from 19 NTM and 35 TB patients were collected, and untargeted metabolomics was performed using rapid liquid chromatography-mass spectrometry. The urine metabolome was analyzed using a combination of univariate and multivariate statistical approaches, incorporating machine learning. Univariate analysis revealed significant alterations in amino acids, especially tryptophan metabolism, in NTM infection compared to TB. Specifically, NTM infection was associated with upregulated levels of methionine but downregulated levels of glutarate, valine, 3-hydroxyanthranilate, and tryptophan. Five machine learning models were used to classify NTM and TB. Notably, the random forest model demonstrated excellent performance [area under the receiver operating characteristic (ROC) curve greater than 0.8] in distinguishing NTM from TB. Six potential biomarkers for NTM infection diagnosis, including methionine, valine, glutarate, 3-hydroxyanthranilate, corticosterone, and indole-3-carboxyaldehyde, were revealed from univariate ROC analysis and machine learning models. Altogether, our study suggested new noninvasive biomarkers and laid a foundation for applying machine learning to NTM differential diagnosis.
Deriving general structure–activity/selectivity relationship patterns for different subfamilies of cyclin-dependent kinase inhibitors using machine learning methods
Authors: Kaveh Sara , Mani-Varnosfaderani Ahmad , Neiband Marzieh Sadat
Published: July 2024

Cyclin-dependent kinases (CDKs) play essential roles in regulating the cell cycle and are among the most critical targets for cancer therapy and drug discovery. The primary objective of this research is to derive general structure–activity relationship (SAR) patterns for modeling the selectivity and activity levels of CDK inhibitors using machine learning methods. To accomplish this, 8592 small molecules with different binding affinities to CDK1, CDK2, CDK4, CDK5, and CDK9 were collected from Binding DB, and a diverse set of descriptors was calculated for each molecule. The supervised Kohonen networks (SKN) and counter propagation artificial neural networks (CPANN) models were trained to predict the activity levels and therapeutic targets of the molecules. The validity of models was confirmed through tenfold cross-validation and external test sets. Using selected sets of molecular descriptors (e.g. hydrophilicity and total polar surface area) we derived activity and selectivity maps to elucidate local regions in chemical space for active and selective CDK inhibitors. The SKN models exhibited prediction accuracies ranging from 0.75 to 0.94 for the external test sets. The developed multivariate classifiers were used for ligand-based virtual screening of 2 million random molecules of the PubChem database, yielding areas under the receiver operating characteristic curves ranging from 0.72 to 1.00 for the SKN model. Considering the persistent challenge of achieving CDK selectivity, this research significantly contributes to addressing the issue and underscores the paramount importance of developing drugs with minimized side effects.
Span of spleen is associated with disability status in multiple sclerosis: a cross-sectional abdominopelvic ultrasonography study
Authors: Etemadifar Masoud , Alaei Seyyed-Ali , Salari Mehri , Sedaghat Nahad
Published: July 2024

Characteristics of livers and spleens of people with multiple sclerosis (pwMS) could constitute good biomarkers of MS-related characteristics such as the disability status. To test the hypothesis “the gross anatomical features of livers and spleens, are not similar between pwMS with different disease characteristics” a cross-sectional study was conducted on pwMS seen at the Isfahan MS clinic, Iran, from February until December 2023. Definitive, otherwise-healthy, pwMS were enrolled after an initial laboratory evaluation. Presence/absence and grading of non-alcoholic fatty liver disease (NAFLD) and the span of spleen were determined by a radiologist using high-resolution abdominopelvic ultrasonography. 193 pwMS (160 women) were enrolled. Of whom, 143 (74.1%) were receiving first-line disease-modifying therapies (DMTs), 24 (12.4%) fingolimod, and 26 (13.5%) rituximab. The span of spleen was negatively associated with EDSS (adjusted β [SE] − 4.08 [1.52], p < 0.01), as well as 6 m-CDW (adjusted β [SE] − 6.94 [3.56], p = 0.05), unlike age, DMTs, and MS duration (all with p > 0.05). Receiver operating characteristic analysis showed, spleen span performs significant but poor in discrimination of EDSS > 1 from EDSS = 1 (area under curve [AUC] 0.62, SE 0.05, p < 0.01), yet, significant and fair in discrimination of presence from absence of 6 m-CDW (AUC 0.72, SE 0.06, p < 0.01). Other findings were unremarkable. Further longitudinal, prospective studies are warranted to confirm whether smaller spleens are predictive of higher disability accrual rate in pwMS. Particularly, findings require further validation in untreated/treatment-naïve pwMS, and ones with higher EDSS scores.
Breast cancer screening patterns and associated factors in Iranian women over 40 years
Authors: Seyedkanani Elham , Hosseinzadeh Mina , Mirghafourvand Mojgan , Sheikhnezhad Leila
Published: July 2024

Screening is a key component of breast cancer early detection programs that can
considerably reduce relevant mortality rates. The purpose of this study was to determine
the breast cancer screening behavioral patterns and associated factors in women over
40 years of age. In this descriptive‑analytical cross‑sectional study, 372 over 40 years of age
women visiting health centers in Tabriz, Iran, in 2023 were enrolled using cluster sampling.
The data were collected using the sociodemographic characteristics questionnaire, breast
cancer perception scale, health literacy for Iranian adults scale, and the Breast Cancer
Screening Behavior Checklist. The obtained data were analyzed in SPSS version 16 using
descriptive statistics (frequency, percentage, mean, and standard deviation) and inferential
statistics (univariate and multivariate logistic regression analyses). In total, 68.3% of all
participants performed breast self‑examination (BSE) (9.9% regularly, once per month),
60.2% underwent clinical breast examination (CBE) (8.9% regularly, twice per year),
51.3% underwent mammography (12.3% regularly, once per year), and 36.2% underwent
sonography (3.8% regularly, twice per year). The findings also showed that women with
benign breast diseases were more likely to undergo CBE (OR = 8.49; 95% CI 2.55 to 28.21;
P < 0.001), mammography (OR = 8.84; 95% CI 2.98 to 10; P < 0.001), and sonography
(OR = 18.84; 95% CI 6.40 to 53.33; P < 0.001) than others. Participants with low and moderate
breast cancer perception scores were more likely to perform BSE than women with high
breast cancer perception scores (OR = 2.20; 95% CI 1.21 to 4.00; P = 0.009) and women who
had a history of benign breast disease were more likely to perform screening behaviors than
others (OR = 2.47; 95% CI 1.27 to 4.80; P = 0.008). Women between the ages of 50 and 59 were
more likely to undergo mammography (OR = 2.33; 95% CI 1.29 to 4.77; P = 0.008) and CBE
(OR = 2.40; 95% CI 1.347 to 4.20; P = 0.003) than those ≥ 60 years. Given the low participation
of women in regular breast cancer screening, it is suggested that health care providers
highlight the need for screening at the specified intervals in their training programs. In
addition, health authorities are recommended to use reminder systems to remind women,
especially those over 40 years of age, of the best time for breast screening. Moreover, health
care providers must seek to improve breast cancer knowledge, attitudes, and perceptions
of women who visit health centers, which are the first level of contact with the healthcare
system for the general population.
Effect of chloride ions on persulfate/UV-C advanced oxidation of an alcohol ethoxylate (Brij 30)
Authors: Ecer Uzun Çisem , Kabdaşlı Işık
Published: July 2024

In the present study, the effect of chloride ions on the oxidative degradation of an alcohol ethoxylate (Brij 30) by persulfate (PS)/UV-C was experimentally explored using Brij 30 aqueous solution (BAS) and a domestic wastewater treatment plant effluent spiked with Brij 30. Brij 30 degradation occurred rapidly during the early stages of oxidation without affecting the water/wastewater matrix. Mineralization of intermediates of Brij 30 degradation markedly influenced by presence of chloride ions. Chloride ions at concentrations up to 50 mg/L accelerated the mineralization through reactions involving reactive chlorine species, which reduced the sink of SO4·− by Cl− scavenging at both initial pH of 6.0 and 3.0 in the case of BAS. The fastest mineralization was achieved under acidic conditions. The WWTP effluent matrix significantly influenced mineralization efficacy of the intermediates. Co-existence of $${\text{HCO}}_{3}^{-}$$

HCO

3

-

and Cl− anions accelerated the mineralization of degradation products. Organic matter originating from the WWTP effluent itself had an adverse effect on the mineralization rate. The positive effects of organic and inorganic components present in the WWTP effluent were ranked in the following order of increasing influence: (Organic matter originating from the effluent + Cl− +$${\text{HCO}}_{3}^{-}$$

HCO

3

-

) < (Cl−) < (Cl− +$${\text{HCO}}_{3}^{-}$$

HCO

3

-

).
Post-collection purity correction for internal standard correction-high performance liquid chromatography-quantitative nuclear magnetic resonance
Authors: Li Xueyao , Zhang Wei , Huang Ting , Li Ming , Su Fuhai , Wu Huaxin , Tang Guangshi
Published: July 2024

The improved method enhances the accuracy of quantifying low-purity organic compounds by analyzing eluate components for correction factors, validated through oxytetracycline quantification, addressing qNMR challenges and ensuring purity.
A comprehensive investigation into the synthesis, characterization, and photocatalytic performance of modified graphene oxide via imino bond with ferrocene as a novel photocatalyst for thioamide synthesis
Authors: Bashiri Mohammad , Hosseini-Sarvari Mona
Published: July 2024

The study introduces a novel approach involving the amination of graphene oxide (GO) followed by the reaction with ferrocene–aldehyde, resulting in the formation of GO–NFc.
Thermal control of photothermal implants inspired by polar bear skin for the treatment of infected bone defects
Authors: Han Mingyue , Li Xinlong , Shi Shijie , Hou Ailin , Yin Han , Sun Lizhong , Li Jianshu , Luo Jun , Li Jiyao , Yang Jiaojiao
Published: July 2024

Thermal-adaptive implant coating inspired by polar bears enhances NIR therapy efficiency, and minimizes tissue damage in infected bone defects.
Monitoring alterations of all-trans-retinal in human brain cancer cells by label-free confocal Raman imaging: regulation of the redox status of cytochrome c
Authors: Jarczewska Karolina , Kopeć Monika , Abramczyk Halina , Surmacki Jakub Maciej
Published: July 2024

This article has shown the impact of all-trans-retinal on human brain cancer, which is apparent in the shifts in the redox status of cytochrome c in a single cell.
Intrinsic and environmental modulation of stereoselective aldol organocatalyzed reactions by proline-containing lipopeptides
Authors: Sodré Pedro Tendrih , Aguilar Andrea Maria , Alves Wendel Andrade , Coutinho-Neto Maurício Domingues
Published: July 2024

Lipopeptide aggregate environment facilitates reactive encounters with major stereochemistry.
Shallow conductance decay along the heme array of a single tetraheme protein wire
Authors: Garg Kavita , Futera Zdenek , Wu Xiaojing , Jeong Yongchan , Chiu Rachel , Pisharam Varun Chittari , Ha Tracy Q. , Aragonès Albert C. , van Wonderen Jessica H. , Butt Julea N. , Blumberger Jochen , Díez-Pérez Ismael
Published: July 2024

Small tetraheme cytochromes (STCs) support efficient electron tunnelling suggesting tunnelling-assisted long-range charge transport in large multiheme structures.
Nonplanar structure accelerates reverse intersystem crossing of TADF emitters: nearly 40% EQE and relieved efficiency roll off
Authors: Liu He , Liu Yang , Chen Guohao , Meng Yuan , Peng Hao , Miao Jingsheng , Yang Chuluo
Published: July 2024

A nonplanar donor accelerates reverse intersystem crossing and the resulting electroluminescent devices achieve a maximum external quantum efficiency of 39.6% and a relieved efficiency roll-off of 7% under 1000 cd m−2.
Negative cooperativity in the formation of H-bond networks involving primary anilines
Authors: Hanna Fergal E. , Root Alexander J. , Schade Markus , Hunter Christopher A.
Published: July 2024

Primary anilines have two H-bond donor sites that are coupled, and as the strength of the H-bond interaction at one site increases, the strength of the interaction at the other site decreases.
Humidity and temperature driven transformations in ferroelectric quinuclidine-based chlorocobaltate(ii) complex salt: bulk and thin films with preferred orientation
Authors: Mesić Mia , Dunatov Marko , Puškarić Andreas , Štefanić Zoran , Androš Dubraja Lidija
Published: July 2024

Due to soft crystal packing driven by non-covalent interactions 3-quinuclidinone cations and (CoCl4)2– anions self-assemble along the preferred crystallographic orientation and form homogeneous thin films with switchable ferroelectric properties.
Pressure-enhanced optoelectronic properties in the two-dimensional metal phosphorus trichalcogenide semiconductor SnPSe3
Authors: Qi Mengyao , Ye Meiyan , Ma Shuailing , Feng Junming , Du Mingyang , Huang Hongyu , Song Hao , Cui Tian
Published: July 2024

A significant enhancement of the optoelectronic properties of SnPSe3 was achieved by pressure, which will stimulate further pursuit of pressure-induced fascinating properties in two-dimensional semiconductors.
Multiple receiver specific emitter identification
Authors: Sun Liting , Liu Zheng , Huang Zhitao
Published: July 2024

Specific emitter identification (SEI) is a technique for identifying emitters based on the principle that the hardware chain is not ideal, causing the emitted signal to contain emitter‐specific information. However, the receiver is also non‐ideal, which affects recognition accuracy and introduces receiver‐specific information that makes SEI difficult to generalise across receiving systems. In this work, a new multi‐receiver receiving and processing system (MR‐SEI) scheme is proposed to mitigate the influence of receivers based on the analysis of receiver distortion models. After receiving and processing in a specific manner, recognition performance can be enhanced. Therefore, extracted features can be shared among different receivers and platforms, and can even be applied to newly added receivers. The concept of common waveform (CW) is first defined, referring to the received signal without receiver distortions. Different receiving devices are working synchronously, and the CW is estimated using multiple copies of the signal obtained from multiple receivers through the iterative reweighted least squares (IRLS) method. For each receiver, a maximum linear correlation algorithm is proposed to calculate the received signal without being affected by distortions. Experimental results show that the proposed scheme can enhance identification performance. With the increase in the number of receivers, the improvement is more noticeable. Using 10 distorted receivers operating under an SNR of 25 dB, the proposed algorithm can significantly improve the identification performance, achieving over 95% and approaching the ideal scenario of no receiver distortion. Meanwhile, influences caused by receiver distortions can be effectively eliminated, and the database can be shared with new receivers, overperforming other SEI methods that eliminate the receiver.
RETRACTED: Agrochemical properties of the soils of intensive apple orchards in Bukhara region
Authors: Yunusov R. , Ganiyeva F.A.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Analysis of changes in fruit density under different transportation methods
Authors: Shvetsov Alexey
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Simulation of the activation process for an activated carbon production plant
Authors: Safin R.G. , Sotnikov V.G.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Cluster method in teaching plant science
Authors: Nafetdinov Shavkatullo
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Azolla of poultry farms, reproduction, production of its biomass'use as additional feed
Authors: Yoldashev Kopalboy , Tajiev Zakirjon , Buriyev Sulaymon , Razzakov Hero , Ulug'bekova Diora , Sharopova Shaxnoza
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Efficiency of grazing for adult culled sheep in the southern regions of Kyrgyzstan
Authors: Orozbaev Bolotbek , Chortanbaev Tyrgoot , Turdubaev Taalaibek , Bekturov Amantur , Kadyrova Chinara
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Biotechnology factors influence on formation of curd cheese quality indicators
Authors: Trukhachev Vladimir , Yankovskaya Valentina , Shipilov Andrey
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The current state and hydrochemical characteristics of the ichthyofauna of the Zamanbobo natural reservoir
Authors: Buriyev S.B. , Okilova G.A. , Shodmonov F.Q. , Yarmuhammedov J.M. , Ibrohimov A.I.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Artificial intelligence: Enhancing monitoring and assessment of natural ecosystems, businesses and engineering
Authors: Guzueva Elina , Abdulmukminova Fatima , Kremleva Elmira
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Garden-Park Landscape Architecture and the formation of recreation areas (on the example of the cities of Uzbekistan)
Authors: Alieva Manzura , Daminova Umida , Ikromov Shavkat , Ikromova Mavluda , Zokirova Latofat
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: An overview of the current state of the beaver’s environmental activity
Authors: Nazarov Nail , Soko Chrispin Nyanda
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Application of statistical data analysis algorithms and determination of the most significant diagnostic factors
Authors: Rozhkova Alena , Kukartsev Vladislav , Kvesko Mikhail , Glinscaya Anna , Kukartseva Oksana
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Mathematical prediction of the Aldan river freezing based on prehistory in 2000-2022
Authors: Iovleva Elizaveta , Boyarshinov Anatoly
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Machine learning approaches for water potability prediction: Addressing class imbalance with SMOTE
Authors: Stepanova Elina , Orlov Vasiliy , Kukartsev Vladislav , Pinchuk Ivan , Suprun Elena
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Environmental expertise and its importance for ensuring natural resource security
Authors: Azarkhin Aleksey , Abduev Sayhan
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Innovative foam materials for designing eco-friendly wetsuits
Authors: Zufarova Zulfiya , Tashpulatov Salikh , Tyurin Igor , Tairov Bakhtiyor , Holoqov Kurbonali
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Energy resources market of the Russian oil industry on a world scale
Authors: Pogrebnaya Irina , Mikhailova Svetlana
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Cultural consumption as a parameter of the quality of life in a Russian megapolis
Authors: Babaeva Anastasia , Makarova Alexandra , Chougounova Tatiana , Chepurnova Natalya , Smetanina Tatiana
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Voltammetry in the pharmaceutical analysis: A review
Authors: Aronbaev Sergey , Aronbaev Dmitry , Isakova Dilnosa
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Isolation of active metabolites of B. ginsengihumi M2.11 with fungicidal activity
Authors: Itkina Daria , Sharipova Margarita
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Optimization of conditions for cultivation of pathogens of infectious rhinotracheitis and viral diarrhea
Authors: Karimullina Ilsiyar , Yarullin Ainur , Mukhammadiev Rishat , Mukhammadiev Rinat , Mingaleev Danil , Khusainova Gulnara , Sorokina Diana , Gumerov Vali
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Development of the budgeting system as a tool of management accounting in the budgetary institution
Authors: Kostyukova Elena , Bobryshev Aleksey , Klychova Guzaliya , Zakirova Alsou , Khusainov Shaukat , Frolov Aleksandr
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Development of methodological support for assessing the sustainability of corporate finance
Authors: Klychova Guzaliya , Ostaev Gamlet , Zakirova Alsou , Yakupova Nailya , Selezneva Irina , Zaharova Elena
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Analysis of sustainable investment trends in Russia and worldwide
Authors: Batashova Anna , Popova Ellada , Barsukova Svetlana , Chernetskaya Svetlana , Tishchenko Yulia
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Green economy as a factor of sustainable development of the state
Authors: Kuzubov Alexey , Maksimenko Aleksandr , Tekucheva Svetlana , Yureva Viktoria
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Innovations in environmental education: The role of Information technologies in sustainable development
Authors: Adieva Aina , Vagapov Aidar , Kafarova Kizkhanum
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Development issues of environmental culture in young people in globalization processes
Authors: Dilova Nargiza , Mardonova Soadat , Teshayev Azizbek , Halimovna Lobar
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Emotional-value experience of Russian, Chinese and Armenian Students in conditions of cultural diversity
Authors: Kuprina Tamara , Evtyugina Alla , Minasyan Svetlana , Taranova Olga
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Environmental migration: Causes, varieties and features of migration processes
Authors: Dyakonova Sofya , Palchikov Ilya , Botienko Alena , Kildeeva Tatiana
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
Heat Transfer Modelling of Biomass Torrefaction
Authors: Wulandari Winny , Baheramsyah Haydar , Anggraini Aurelia Priscella , Rizkiana Jenny , Sasongko Dwiwahju
Published: July 2024

The depletion of coal reserves and the increase of environmental problems urge the use of renewable energy sources. Biomass is a renewable energy source and is also used as one of the feeds for cofiring, a promising energy generation technology. However, the shortcomings of biomass, such as low calorific value, hygroscopic, and low grindability, limit its usage. Torrefaction is a mild form of pyrolysis of biomass that results in better solid fuel properties. This study aims to model a simple heat transfer numerical equation to predict the torrefaction of biomass in various operating conditions. The temperature distribution in biomass during the torrefaction process is also predicted, as well as the mass yield, energy yield, and HHV behaviour of the torrefied biomass. The modelling was conducted based on Calliandra wood biomass. The pellet biomass diameter was modelled to vary within a range of 1-3 cm and a length of 10 cm. The operating conditions used for this modelling were the temperature of torrefaction with a range of 230- 270 °C. Heat transfer modelling was carried out by using MATLAB. The modelling produces a numerical equation of transient heat transfer with a radial axis base with the kinetic model used as TPR (Three Parallel Reaction). The modelling produces an error of 1.424% compared to the experimental data by Felfli et al. The simulation shows that torrefaction that makes a higher and more uniform temperature distribution will result in a higher HHV value. Based on the simulation, the recommendation of torrefaction operating conditions for Calliandra wood with a diameter of 1-3 cm is at a torrefaction temperature of 270℃ and residence time of 1.5 hours. This will result in a calorific value of approximately 5300 kcal/kg.
Indonesian Tungsten Mineralogy and Processing Concept
Authors: Hutabarat Imelda , Maryono  , Rudiyansah  , Ramadan Dikri Fajar , Wigyantoro Koko
Published: July 2024

Tungsten minerals which are major as Wolframite and Scheelite mineral are by-product minerals of Tin mineral known as Cassiterite. Tin minerals are mostly found in Bangka Island which is one of the islands in the Southeast Asian tin belt that makes Indonesia the largest Tin (Sn) producer in the world. This research aims to characterize the mineralogy of Tungsten and associated minerals for potential mineral processing to gain the Tungsten concentrates. The Tungsten minerals were collected from the eastern edge of Klabat Granite in Toboali District, South Bangka. The Tungsten minerals were magnetically separated up to 14000 Gauss. The magnetic and non-magnetic fractions were identified to analyze the associated mineral of Tungsten with SEM analysis. The associated minerals in the Tungsten mineralization system in Toboali were found along with Silicates, Oxides, Sulphides, and Carbonates where Silicates dominated up to 91.8% of the non-magnetic minerals while Wolframite presence up to 0.9% in the non-magnetic fraction. At magnetic fraction found that Silicates dominates also up to 84.6% while Wolframite existed at 1.1%. The results of element deportment in the non-magnetic fraction show that Tungsten is associated with iron minerals and also in liberated form. The potential Tungsten mineral is Wolframite (Fe,Mn) WO4 in the magnetic and non-magnetic fraction. Mineral locking at P100 size 18.8 μ. shows that 84.4% Wolframite was locking with 3 (three) other minerals, 10.4% locking with 2 (two) other minerals, and only 4.8% Wolframite was 100% free in the magnetic fraction while in non-magnetic fraction P100 size 31.5 μ 77.5% Wolframite was locking with 3 (three) other minerals 18.3% locking with 2 (two) other minerals and only 4.2% Wolframite was 100% free. The processing concept is to liberate Tungsten from the associated minerals either with comminution or a combination of roasting alkali and leaching process and concentrate it up to marketable Tungsten concentrates.
Effect of Direct and Indirect Pre-Oxidation of Gold Ore from Doup North Sulawesi using Ozone Gas on the Gold Extraction in the Cyanidation Process
Authors: Chrisna Chanovanto , Tanlega Ichlas Zela , Zaki Mubarok Mohammad , Kartaatmaja Erwin
Published: July 2024

Refractory gold ore is a type of gold ore that is difficult to process when treated through a conventional cyanidation process. Pre-oxidation using ozone gas is one of the pre-treatment methods that can be used to improve gold recovery from sulfide-type refractory ore. This study used gold ore samples from Doup, North Sulawesi, Indonesia, to study the effect of direct and indirect pre-oxidation using ozone gas on gold recovery and subsequently treated by a cyanidation process. Direct and indirect pre-oxidation experiments were carried out at different pHs and using two raw materials for ozone generation (air and O2). The slurry obtained from the pre-oxidation experiments was filtered, and the filtrate was analyzed for the concentration of dissolved Cu, Fe, and Zn using atomic absorption spectroscopy (AAS); meanwhile, the residue from each pre-oxidation experiment was leached by cyanidation to obtain a pregnant leaching solution (PLS), which was analyzed for its gold concentration using AAS. The percentages of dissolved Cu, Fe, and Zn during pre-oxidation increased with the pre-oxidation time when the acidity was maintained at pH 2, using pure O2 as the ozone raw material. The direct pre-oxidation process at pH 2 using air as the ozone raw material increased gold extraction from 79.08% to 82.78% in the cyanidation process. The pre-oxidation experiments performed without controlling the pH resulted in lower gold dissolutions than the pre-oxidation conditions at pH 2. Possible causes of the lower gold dissolution were discussed.
Ethylene Glycol-water Based Graphene Oxide Nanofluid as Corrosion Inhibitor in Automotive Radiator
Authors: Habibi I. , Saifudin  , Fatoni H. R. , Kusumastuti R. , Priyotomo G. , Musabikha S. , Nikitasari A. , Prifiharni S. , Lestari Y. , Royani A.
Published: July 2024

A rapid cooling process is essential to maintain an optimal working temperature in a vehicle, which directly impacts its efficiency. Corrosion is a persistent and inevitable damage in cooling systems that use water-based fluids. The current challenge is to explore water-based fluids that not only exhibit excellent corrosion resistance but also possess superior heat conduction properties to improve vehicle efficiency. This study investigated the incorporation of Graphene Oxide, renowned for its corrosion inhibition properties, into ethylene glycol/water solution to assess its protective efficacy on Al6061 material. A series of analytical methods, including Optical Emission Spectroscopy (OES), pH, conductivity, Fourier-Transform Infrared Spectroscopy (FTIR), and polarization techniques, are used to evaluate the corrosion inhibition performance of graphene oxide at various concentrations and under different ambient temperatures. The results showed a decrease in pH value and conductivity with increasing concentration of graphene oxide. FTIR analysis confirmed the formation of a protective layer on the surface of Al6061. Corrosion rate assessment was performed on Al6061 samples immersed in ethylene glycol/water mixture with graphene oxide concentrations of 0, 0.03%, 0.05%, and 0.10%. There was a significant decrease in corrosion rate with the addition of graphene oxide to the cooling system: at 30°C, the rate decreased to 4.620, 3.308, 2.565, and 1.006 mpy; at 40°C, up to 4,728, 2,541, 1,503, and 1,270 mpy; and at 50°C, up to 5.629, 1.146, 2.947, and 1.441 mpy, corresponding graphene oxide concentrations of 0.03%, 0.05%, and 0.1%, respectively. Experimental data confirmed that graphene oxide effectively reduces the corrosion rate of Al6061 in ethylene glycol/water mixtures. The study concluded that the use of graphene oxide as a corrosion inhibitor markedly improved the resistance and performance of Al6061 in ethylene glycol/water, with graphene oxide contributing to this protective mechanism through the process of physisorption.
Design of High Entropy Superalloy FeNiCrAlCu using Computational Thermodynamic and Machine Learning: Effect of Alloying Compositions and Temperatures on the Stacking Fault Energy
Authors: Achmad Tria Laksana , Baskara Farrel Faiz
Published: July 2024

High entropy superalloys (HESA) have great potential to replace superalloys with promising properties extensively developed to improve performance, resource sustainability, and cost efficiency in high-temperature applications. This study focuses on Fe-based HESA and their stacking fault energy (SFE), a critical parameter influencing deformation mechanism and creep resistance. This development is economically cheaper since it utilizes Fe rather than Ni as the alloy base, which has been widely developed. We propose a novel approach for predicting SFE using big data analysis leveraging machine learning and computational thermodynamics. The calculated SFE as a function of compositions and temperature becomes the database for the machine learning model. We employ a deep learning neural network model to achieve an impressive 0.008 Root Mean Squared Error (RMSE) predicting SFE values and classes. The composition of the high entropy superalloy is designed to lower the SFE, which promotes the formation of stacking faults and twin boundaries, resulting in high strength and creep resistance at high temperatures. Our research establishes an optimal design guide for achieving desired SFE: Ni (9-15 at%), Cr (15-36 at%), Al (5-22.75 at%), Cu (9-22.75 at%), and Fe (22.75-40 at%). Fe can be increased until 40 at.% with 15 at.% Ni, or Ni can be reduced until 9 at.% with a lower Fe of 22.75 at.%.
Prediction of groundwater fluctuations in Chengalpattu district through machine learning
Authors: Ninu Praseetha N.S. , Kaythry P. , Sangeetha P. , Jebaraj Devavaram , Srinivas Santhosh , Karan K. , Devadharshini
Published: July 2024

Groundwater, found beneath the Earth’s surface in saturated zones of soil, sediment, and rock, plays a crucial role in sustaining ecosystems and supporting human activities like agriculture and industry. Monitoring and managing groundwater resources are crucial for sustainable use. As of the latest update in January 2022, Chennai, a city in southern India, has been grappling with water scarcity issues. The city has faced recurrent water shortages due to various factors, including rapid urbanization, inadequate infrastructure, depleting groundwater levels, and irregular rainfall patterns. Chengalpattu district in Tamil Nadu, India, is known for its diverse geographical features, incorporating urban and rural landscapes, and is significant for agriculture and water resource management. This study focuses on predicting variations in groundwater levels in open wells at different locations in the Chengalpattu district, assessing the effectiveness of various machine-learning models. This paper utilizes the ARIMA model provided by the stats models library. This library is widely employed for statistical modelling and hypothesis testing in Python, and encompasses a range of tools for time series analysis, including the ARIMA model. In this context. ARIMA models are employed for predicting future depth which focus on depicting autocorrelations in the data. Additionally, a package consolidating various models, including Seasonal Naïve (a straightforward forecasting method for seasonal data that serves as a reliable benchmark by relying on the observation from the same period a season ago), was incorporated in this study.
AI-Powered Crack Analysis: Leveraging NLP for Structural Health Monitoring
Authors: Sathia R. , Vijayalakshmi R. , Asvika M. , Jessica J. Caroline
Published: July 2024

Cracks in structures pose significant risks to safety, integrity, and functionality, necessitating efficient and accurate analysis methods. This paper presents an innovative approach to crack analysis by integrating Artificial Intelligence (AI) techniques with Natural Language Processing (NLP) methodologies. Initially, NLP techniques are employed to extract key concepts, methodologies, and findings related to crack analysis from textual sources. Subsequently, features relevant to crack detection, classification, and severity assessment are extracted from the processed text data. AI models, including supervised learning algorithms such as Convolutional Neural Networks (CNNs) and unsupervised clustering methods, are trained using labelled data to detect cracks, classify their types, and assess their severity. Reinforcement learning techniques may also be explored for optimizing inspection strategies and maintenance schedules based on crack analysis results. Furthermore, the integration of sensor data, such as images from cameras and measurements from ultrasonic devices, enriches the analysis process, providing more accurate and comprehensive insights into crack formation and propagation. Real-time monitoring systems, coupled with AI models, enable continuous assessment of structural health, with alert mechanisms in place to notify relevant stakeholders of potential issues. This approach not only streamlines crack analysis processes but also enhances the efficiency and effectiveness of structural health monitoring systems, ultimately contributing to safer and more resilient infrastructure.
Traffic study using unmanned aerial vehicle & simulation of traffic flow at congested junctions of Salem City using hybrid approach
Authors: Pachaiappan Velmurugan , Nabi Anwarbasha Gulshan Taj Mohamed , Ramalingam Malathy , Kumar S.R.R. Senthil
Published: July 2024

The number of road accidents in 2022 increased by 11.9% compared to 2021. Similarly, the number of deaths and injuries on account of road accidents also increased by 9.4% and 15.3% respectively. Road collision incidences in India are increasing at a rate of 5% faster than the world average. Since everyone moves about a lot in their everyday lives, transportation has become a part of everyone’s existence. All people, regardless of age, must travel to do their daily tasks, which causes roadways to get blocked. This research examines how urbanization and industry are causing traffic congestion in the current environment. In the Salem Corporation specified road network, 162 road links were chosen for the study and surveyed with unmanned aerial vehicles. By adopting this digital aerial survey, local authorities may overcome their challenges in estimating the varied road network required at any time from all aspects. Drone have been used to conduct extensive investigations of the condition of the Five Roads Junction, Kondalampatti, Seelanaikanpatti, Shewapett, Junction Main Roads in the Salem district. The intersections were selected because they see a higher volume of traffic, particularly during peak hours. The manual traffic study was conducted to determine the reasons for traffic congestion. Pedestrian laws, appropriate bus stops, signalized junctions, and other measures can all be used to manage traffic. Unlike conventional methods, traffic simulation software such as PTV VISSIM and Any-logic are being used in this research to minimize the identified problems since it may be the alternative approach. This research deals with the Salem district traffic issue at five complex intersections and offers some fundamental remedies.
Kraft- und Spannungsübertragung in der unteren
Extremität
Authors: Buekens Jo , Grasmück Jürgen
Published: July 2024

Dieser Beitrag beschäftigt sich mit der auf- und absteigenden Übertragung der
Kräfte von der und auf die untere Extremität sowie mit der Rolle der Apophysen
und Sesambeine auf die bindegewebige und myofasziale Spannungsregulation und
deren Einfluss auf die Kraftübertragung in die und von der unteren
Extremität.
Tanzen im Alter – eine unterschätzte Sportart
Authors: Kidritsch Anita , Anifantis-Scherb Soi Carmen , Neumayer Claudia
Published: July 2024

Kontinuierliche Bewegung ist besonders im Alter wichtig. Für gesunde Senior*innen ebenso wie bei bereits bestehenden Erkrankungen. Tanzen im Alter verbessert das Gleichgewicht und die Gehfähigkeit. Bei Tanzenden verringern sich Symptome von Altersdepression, die Lebensqualität steigt. Auch bei Demenz und neurologischen Erkrankungen ist Tanzen wirksam.
From Nelson’s Syndrome to Corticotroph Tumor Progression Speed: An
Update
Authors: Bessiène Laura , Villa Chiara , Bertagna Xavier , Baussart Bertrand , Assié Guillaume
Published: July 2024

Since the first description of Nelson syndrome 60 years ago, the way to consider
corticotroph pituitary neuroendocrine tumors (PitNETs) after bilateral
adrenalectomy has evolved. Today, it is globally acknowledged that only a subset
of corticotroph PitNETs is aggressive.

After adrenalectomy, corticotroph tumor progression (CTP) occurs in about 30 to
40% of patients during a median follow-up of 10 years. When CTP occurs, various
CTP speeds (CTPS) can be observed. Using simple metrics in patients with CTP,
CTPS was reported to vary from a few millimeters to up to 40 mm per year. Rapid
CTPS/ Nelson’s syndrome was associated with more severe Cushing’s disease,
higher adrenocorticotropic hormone (ACTH) in the year following adrenalectomy,
and higher Ki67 on pituitary pathology. Complications such as apoplexy,
cavernous syndrome, and visual defects were associated with higher CTPS. During
follow-up, early morning ACTH, absolute variations properly reflected CTPS.
Finally, CTPS was not higher after than before adrenalectomy, suggesting that
cortisol deprivation after adrenalectomy does not impact CTPS in a majority of
patients.

Taken together, rapid CTPS/ Nelson’s syndrome probably reflects the intrinsic
aggressiveness of some corticotroph PitNETs. The precise molecular mechanisms
related to corticotroph PitNET aggressiveness remain to be deciphered. Regular
MRIs combined with intermediate morning ACTH measurements probably provide a
reliable way to detect early and manage fast-growing tumors and, therefore,
limit the complications.
Clinical Course after End-of-Life Decisions on a Neurosurgical Ward: Much to Learn and Improve
Authors: Hautmann Xenia , Rohde Veit , von der Brelie Christian
Published: July 2024

Background End-of-life (EoL) decisions are routine in neurosurgical care due to frequent devastating and life-threatening diagnoses. Advance directives, discussions with patients' relatives, and evaluation of the alleged will of the patient play an increasing important role in clinical decision-making. Institutional standards, ethical values, different ethnical backgrounds, and individual physician's experiences influence clinical judgments and decisions. We hypothesize that the implementation of palliative care in neurosurgical wards needs optimization. The aim of this study is to identify possible sources of error and to share our experiences.

Methods This is a retrospective observational analysis. One hundred and sixty-eight patients who died on a regular neurosurgical ward between 2014 and 2019 were included. Medical reports were analyzed in detail. A differentiation between consistent and nonconsistent palliation was made, with consistent palliative care consisting of discontinuation of medication that was no longer indicated, administration of medication for symptom control, and consequent discontinuation of nutrition and fluid substitution that went beyond satisfying hunger or thirst.

Results EoL decisions were made in 127 (84.1%) of all 168 cases; 100 patients were included in our analysis. Of these patients, only 24 had an advance directive, and the relatives were included in the communication about the therapy goals in 71 cases. Discontinuation of medication that is not for symptom control was performed in 63 patients, food withdrawal in 66 patients, and fluid substitution that went beyond the quenching of thirst was withdrawn in 27 patients. Thus, consistent palliative care was realized in 25% of all patients. The mean duration from the EoL decision until death was 2.1 days (range: 0–20 days). If a consistent palliative care was carried out, patients survived significantly shorter (nonconsistent palliative care: 2.4 days; range: 0–10 days vs. consistent palliative care: 1.2 days; range: 0–4 days; p = 0.008).

Conclusions The therapy goal should be thoroughly considered and determined at an early stage. If an EoL decision is reached, consistent palliative care should be carried out in order to limit suffering of moribund patients.