bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Tavis-Cummings Simulation on Superconducting Quantum Hardware with Error Mitigation
Authors: Marinelli Brian , Rubin Alex H. , Norman Victoria A. , Rizvi Zainab , Naik Ravi , Santiago David I. , Spitzer Christopher , Kreikebaum John Mark , Krstic-Marinkovic Marina , Siddiqi Irfan , Radulaski Marina
Published: September 2023

We explore digital quantum simulation of the dynamics of N emitters coupled to an optical cavity (Tavis-Cummings model) on superconducting quantum hardware and successfully mitigate errors using randomized compiling and noiseless output extrapolation methods.
Next-generation trapped-ion quantum computing system
Authors: Kozhanov Alexander , Yu Yichao , Zhukas Liudmila , Feng Lei , Biswas Debopriyo , Harraz Bahaa , Yan Keqin , Zhang Vivian , Noel Crystal , Monroe Christopher
Published: September 2023

In this work we discuss the progress of commissioning the next-generation trapped-ion quantum computing system. Heating rates, coherence times, background gas collision rates, individual-addressing cross-talk and other factors contributing to the gate fidelity are discussed.
How to perform the optical Fractional Fourier Transform?
Authors: Jastrzebski Marcin , Niewelt Bartosz , Kurzyna Stanislaw , Nowosielski Jan , Wasilewski Wojciech , Mazelanik Mateusz , Parniak Michał
Published: September 2023

We present the Fractional Fourier Transform (FrFT) realised in quantum memory. We achieve this transformation by applying two temporal and one spectral lenses and measure the Hermite-Gaussian modes which are the eigenfunctions of FrFT.
Polarization-Maintaining Fiber Alignment Requirements for Quantum Communication
Authors: Wu Wilson , Tannous Ramy , Godin Paul J. , Jennewein Thomas
Published: September 2023

When polarization-maintaining fiber is used in quantum communication, axis alternation of successive fiber segments can compensate for differential group delay. To minimize the QBER of transmitted signals, the requirements on fiber segment accuracy are computed.
Multimode fiber influence on time response of single-photon avalanche diodes used in QKD
Authors: Lee Alexandra , Castillo Alfonso Tello , Donaldson Ross , Whitehill Craig
Published: September 2023

For quantum key distribution (QKD), single-photon avalanche diodes (SPAD) are limited by the full timing response. Here, we summarise the impact of multimode fiber SPAD timing response for an alternative coupling from single-mode fiber.
Key attributes of successful research institutes
Authors: Bradke Frank , Maartens Aidan , Teichmann Sarah A.
Published: September 2023

Science does not take place in a vacuum: The physical and social workplace has a profound influence on scientific discoveries. Everyone at a research institute can contribute to its scientific output and productivity, from faculty research groups to facilities and platforms staff to administration and corporate services. Although the researchers addressing exciting scientific questions are key, their efforts can be fostered and directed by the overarching strategy of the institute, interconnection with facilities and platforms, and strong and directed support of the administration and corporate services. Everybody counts and everybody should be empowered to contribute. But what are the characteristics that make scientific organizations and their people flourish? This Essay looks at the structure and culture of successful research institutes, laying out different operational strategies and highlighting points that need be taken into consideration during their implementation.
Predicting the target landscape of kinase inhibitors using 3D convolutional neural networks
Authors: Kanev Georgi K. , Zhang Yaran , Kooistra Albert J. , Bender Andreas , Leurs Rob , Bailey David , Würdinger Thomas , de Graaf Chris , de Esch Iwan J. P. , Westerman Bart A.
Published: September 2023

Many therapies in clinical trials are based on single drug-single target relationships. To further extend this concept to multi-target approaches using multi-targeted drugs, we developed a machine learning pipeline to unravel the target landscape of kinase inhibitors. This pipeline, which we call 3D-KINEssence, uses a new type of protein fingerprints (3D FP) based on the structure of kinases generated through a 3D convolutional neural network (3D-CNN). These 3D-CNN kinase fingerprints were matched to molecular Morgan fingerprints to predict the targets of each respective kinase inhibitor based on available bioactivity data. The performance of the pipeline was evaluated on two test sets: a sparse drug-target set where each drug is matched in most cases to a single target and also on a densely-covered drug-target set where each drug is matched to most if not all targets. This latter set is more challenging to train, given its non-exclusive character. Our model’s root-mean-square error (RMSE) based on the two datasets was 0.68 and 0.8, respectively. These results indicate that 3D FP can predict the target landscape of kinase inhibitors at around 0.8 log units of bioactivity. Our strategy can be utilized in proteochemometric or chemogenomic workflows by consolidating the target landscape of kinase inhibitors.
Research on recognition and intervention of behavior sequences in virtual museum learning
Authors: Wu Xinyi , Chen Xiaohui , Zhao Jingwen , He Tingting , Xie Yongsheng , Ma Chenyang , Wang Wei
Published: September 2023

Learning in virtual museum can transcend the limits of time and space. The virtual museum that combines expertise in different disciplines provides a virtual learning environment for college students, but how to intervene in museum learning has been unclear. Targeted at this question, this study selected 2030 majors in clinical medicine from a certain university and the final results exhibited four types of learners who are of high, medium, low and absent museum immersion, respectively. When the learners visited the virtual museum, their behavior data were collected backstage and later used as data source. The method of fuzzy c clustering analysis was utilized to test the behavior recognition results of virtual museum learning, and lag sequential analysis (LSA) was used to carry out sequential transformation of learning behaviors in virtual museum. In this study, the four types of learners were subsumed under two broad categories of middle & high museum immersion and low & absent museum immersion. The importance of behavior was identified with random forest algorithm, and the intervention mechanism of museum teaching was designed according to the analysis results. Specifically, such strategies as museum support, voice guidance, video guidance, sub-museum ordering, rewards points on the list, etc. were used to study the museum learners in need of intervention. The results showed that the learning state of some learners was significantly improved.
Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches
Authors: Ashraf Faisal Bin , Akter Sanjida , Mumu Sumona Hoque , Islam Muhammad Usama , Uddin Jasim
Published: September 2023

The SARS-CoV-2 3CLpro protein is one of the key therapeutic targets of interest for COVID-19 due to its critical role in viral replication, various high-quality protein crystal structures, and as a basis for computationally screening for compounds with improved inhibitory activity, bioavailability, and ADMETox properties. The ChEMBL and PubChem database contains experimental data from screening small molecules against SARS-CoV-2 3CLpro, which expands the opportunity to learn the pattern and design a computational model that can predict the potency of any drug compound against coronavirus before in-vitro and in-vivo testing. In this study, Utilizing several descriptors, we evaluated 27 machine learning classifiers. We also developed a neural network model that can correctly identify bioactive and inactive chemicals with 91% accuracy, on CheMBL data and 93% accuracy on combined data on both CheMBL and Pubchem. The F1-score for inactive and active compounds was 93% and 94%, respectively. SHAP (SHapley Additive exPlanations) on XGB classifier to find important fingerprints from the PaDEL descriptors for this task. The results indicated that the PaDEL descriptors were effective in predicting bioactivity, the proposed neural network design was efficient, and the Explanatory factor through SHAP correctly identified the important fingertips. In addition, we validated the effectiveness of our proposed model using a large dataset encompassing over 100,000 molecules. This research employed various molecular descriptors to discover the optimal one for this task. To evaluate the effectiveness of these possible medications against SARS-CoV-2, more in-vitro and in-vivo research is required.
Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction
Authors: Kaveripakam Sathish , Chinthaginjala Ravikumar
Published: September 2023

The Underwater Acoustic Sensor Network (UASN) is a large network in which the vicinity of a transmitting node is made up of numerous operational sensor nodes. The communication process may be substantially disrupted due to the underwater acoustic channel’s time-varying and space-varying features. As a result, the underwater acoustic communication system faces the problems of reducing interference and enhancing communication effectiveness and quality through adaptive modulation. To overcome this issue, this paper intends to propose a model for optimal path selection and secured data transmission in UASN via Long Short-Term Memory (LSTM) based energy prediction. The proposed model of transmitting the secured data in UASN through the optimal path involves two major phases. Initially, the nodes are selected under the consideration of constraints like energy, distance and link quality in terms of throughput. Moreover, the energy is predicted with the aid of LSTM and the optimal path is selected with the proposed hybrid optimization algorithm termed as Pelican Updated Chimp Optimization Algorithm (PUCOA), which is the combination of two algorithms including the Pelican Optimization Algorithm (POA) and Chimp Optimization Algorithm (COA). Further, the data is transmitted via the optimal path securely by encrypting the data with the proposed improved blowfish algorithm (IBFA). At last, the developed LSTM+PUCOA model is validated with standard benchmark models and it proves that the performance of the proposed LSTM+PUCOA model attains 90.85% of accuracy, 92.78% of precision, 91.78% of specificity, 89.79% of sensitivity, 7.21% of FPR, 89.76% of F1 score, 89.77% of MCC, 10.20% of FNR, 92.45% of NPV, and 10.22% of FDR for Learning percentage 70.
Prolonged survival time of Daphnia magna exposed to polylactic acid breakdown nanoplastics
Authors: Kelpsiene Egle , Rydberg Melinda , Ekvall Mikael T. , Lundqvist Martin , Cedervall Tommy
Published: September 2023

Polylactic acid nanoparticles (PLA NPs) according to food and drug administration are biodegradable and biocompatible polymers that have received a lot of attention due to their natural degradation mechanism. Although there is already available information concerning the effects of PLA microplastic to aquatic organisms, the knowledge about PLA NPs is still vague. In the present study, we analyzed the chemical composition of engineered PLA NPs, daily used PLA items and their breakdown products. We show that PLA breakdown products are oxidized and may contain aldehydes and/or ketones. The breakdown produces nanosized particles, nanoplastics, and possibly other small molecules as lactide or cyclic oligomers. Further, we show that all PLA breakdown nanoplastics extended the survival rate in Daphnia magna in an acute toxicity assay, however, only PLA plastic cup breakdown nanoplastics showed a significant difference compared to a control group.
Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based segmentation
Authors: Yang Zepa , Choi Insung , Choi Juwhan , Jung Jongha , Ryu Minyeong , Yong Hwan Seok
Published: September 2023

The pectoralis muscle is an important indicator of respiratory muscle function and has been linked to various parenchymal biomarkers, such as airflow limitation severity and diffusing capacity for carbon monoxide, which are widely used in diagnosing parenchymal diseases, including asthma and chronic obstructive pulmonary disease. Pectoralis muscle segmentation is a method for measuring muscle volume and mass for various applications. The segmentation method is based on deep-learning techniques that combine a muscle area detection model and a segmentation model. The training dataset for the detection model comprised multichannel images of patients, whereas the segmentation model was trained on 7,796 cases of the computed tomography (CT) image dataset of 1,841 patients. The dataset was expanded incrementally through an active learning process. The performance of the model was evaluated by comparing the segmentation results with manual annotations by radiologists and the volumetric differences between the CT image datasets of the same patients. The results indicated that the machine learning model is promising in segmenting the pectoralis major muscle, with good agreement between the automatic segmentation and manual annotations by radiologists. The training accuracy and loss values of the validation set were 0.9954 and 0.0725, respectively, and for segmentation, the loss value was 0.0579. This study shows the potential clinical usefulness of the machine learning model for pectoralis major muscle segmentation as a quantitative biomarker for various parenchymal and muscular diseases.
Normative reference values, determinants and regression equations for the incremental shuttle walk test (ISWT) in healthy Asian population aged 21 to 80 years
Authors: Azman Muhammad Zulhaziq Bin , Huang Katherin S. , Koh Wei Jun , Leong Sarah S. , Ong Benjamin , Soon Johanna L. , Tan Sherman W. , Chan Melissa Y. , Yang Mingxing , Yeung Meredith T.
Published: September 2023

Background

The validated Incremental Shuttle Walk Test (ISWT) is widely used for evaluating maximal exercise capacity, with the distance-walked (IWSD) as the primary outcome. However, there are no normative reference values (NRV) and reference equations to predict ISWD for the Singaporean population.

Objectives

This study aims to establish the NRV and reference equations for ISWD in healthy Singaporeans aged 21 to 80 and investigate the determining variables during ISWT.

Methods

This cross-sectional study recruited community-dwelling healthy subjects aged 21–80 from the community via convenience sampling. Each subject completed two trials of the ISWT according to the standard protocol. Variables measured during the trials included ISWD, pre-and post-test heart rate (HR), oxygen saturation, blood pressure (BP), modified Borg’s dyspnoea score and Borg’s rate of perceived exertion (RPE).

Results

199 healthy Singaporean (females = 114, males = 85) participated in the study. The overall median ISWD was 660.0 metres (m) [interquartile range (IQR):440.0–850.0]. The age-stratified mean ISWD ranged from 430.0 m (IQR:350.0–450.0) (aged 60–80) to 480.0 m (IQR:438.0–650.0) (aged 40–59) to 780.0 m (IQR:670.0–960.0) (aged 21–39). Gender, age, weight, height and HR change (highest post-test HR minus pre-test HR) were the most significant variables (p < 0.001). IWSD (m) = 651.4(Height, m) +89.7(Gender, male = 1; female = 0) –6.31(Age, years) –3.61(Weight, kilograms) +2.54(HR change, beats per minute); R2 = 0.741. Previously published ISWT reference equations cannot accurately predict the ISWD in the Singaporean population.

Conclusions

This study investigated the ISWD NRV and established reference equations for healthy Singaporeans aged 21–80. The information would be beneficial in setting performance benchmarks to guide physical assessment, intervention and rehabilitation.
Polypharmacology-based kinome screen identifies new regulators of KSHV reactivation
Authors: Olson Annabel T. , Kang Yuqi , Ladha Anushka M. , Zhu Songli , Lim Chuan Bian , Nabet Behnam , Lagunoff Michael , Gujral Taranjit S. , Geballe Adam P.
Published: September 2023

Kaposi’s sarcoma-associated herpesvirus (KSHV) causes several human diseases including Kaposi’s sarcoma (KS), a leading cause of cancer in Africa and in patients with AIDS. KS tumor cells harbor KSHV predominantly in a latent form, while typically <5% contain lytic replicating virus. Because both latent and lytic stages likely contribute to cancer initiation and progression, continued dissection of host regulators of this biological switch will provide insights into fundamental pathways controlling the KSHV life cycle and related disease pathogenesis. Several cellular protein kinases have been reported to promote or restrict KSHV reactivation, but our knowledge of these signaling mediators and pathways is incomplete. We employed a polypharmacology-based kinome screen to identify specific kinases that regulate KSHV reactivation. Those identified by the screen and validated by knockdown experiments included several kinases that enhance lytic reactivation: ERBB2 (HER2 or neu), ERBB3 (HER3), ERBB4 (HER4), MKNK2 (MNK2), ITK, TEC, and DSTYK (RIPK5). Conversely, ERBB1 (EGFR1 or HER1), MKNK1 (MNK1) and FRK (PTK5) were found to promote the maintenance of latency. Mechanistic characterization of ERBB2 pro-lytic functions revealed a signaling connection between ERBB2 and the activation of CREB1, a transcription factor that drives KSHV lytic gene expression. These studies provided a proof-of-principle application of a polypharmacology-based kinome screen for the study of KSHV reactivation and enabled the discovery of both kinase inhibitors and specific kinases that regulate the KSHV latent-to-lytic replication switch.
Multiplex interrogation of the NK cell signalome reveals global downregulation of CD16 signaling during lentivirus infection through an IL-18/ADAM17-dependent mechanism
Authors: Sugawara Sho , Hueber Brady , Woolley Griffin , Terry Karen , Kroll Kyle , Manickam Cordelia , Ram Daniel R. , Ndhlovu Lishomwa C. , Goepfert Paul , Jost Stephanie , Reeves R. Keith
Published: September 2023

Despite their importance, natural killer (NK) cell responses are frequently dysfunctional during human immunodeficiency virus-1 (HIV-1) and simian immunodeficiency virus (SIV) infections, even irrespective of antiretroviral therapies, with poorly understood underlying mechanisms. NK cell surface receptor modulation in lentivirus infection has been extensively studied, but a deeper interrogation of complex cell signaling is mostly absent, largely due to the absence of any comprehensive NK cell signaling assay. To fill this knowledge gap, we developed a novel multiplex signaling analysis to broadly assess NK cell signaling. Using this assay, we elucidated that NK cells exhibit global signaling reduction from CD16 both in people living with HIV-1 (PLWH) and SIV-infected rhesus macaques. Intriguingly, antiretroviral treatment did not fully restore diminished CD16 signaling in NK cells from PLWH. As a putative mechanism, we demonstrated that NK cells increased surface ADAM17 expression via elevated plasma IL-18 levels during HIV-1 infection, which in turn reduced surface CD16 downregulation. We also illustrated that CD16 expression and signaling can be restored by ADAM17 perturbation. In summary, our multiplex NK cell signaling analysis delineated unique NK cell signaling perturbations specific to lentiviral infections, resulting in their dysfunction. Our analysis also provides mechanisms that will inform the restoration of dysregulated NK cell functions, offering potential insights for the development of new NK cell-based immunotherapeutics for HIV-1 disease.
Inhibition of ATM-directed antiviral responses by HIV-1 Vif
Authors: Wong Hoi Tong , Luperchio Adeline M. , Riley Sean , Salamango Daniel J.
Published: September 2023

Emerging evidence indicates that HIV-1 hijacks host DNA damage repair (DDR) pathways to facilitate multiple facets of virus replication. Canonically, HIV-1 engages proviral DDR responses through the accessory protein Vpr, which induces constitutive activation of DDR kinases ATM and ATR. However, in response to prolonged DDR signaling, ATM directly induces pro-inflammatory NF-κB signaling and activates multiple members of the TRIM family of antiviral restriction factors, several of which have been previously implicated in antagonizing retroviral and lentiviral replication. Here, we demonstrate that the HIV-1 accessory protein Vif blocks ATM-directed DNA repair processes, activation of NF-κB signaling responses, and TRIM protein phosphorylation. Vif function in ATM antagonism occurs in clinical isolates and in common HIV-1 Group M subtypes/clades circulating globally. Pharmacologic and functional studies combine to suggest that Vif blocks Vpr-directed activation of ATM but not ATR, signifying that HIV-1 utilizes discrete strategies to fine-tune DDR responses that promote virus replication while simultaneously inhibiting immune activation.
Role of succinyl substituents in the mannose-capping of lipoarabinomannan and control of inflammation in Mycobacterium tuberculosis infection
Authors: Palčeková Zuzana , Obregón-Henao Andrés , De Kavita , Walz Amanda , Lam Ha , Philp Jamie , Angala Shiva Kumar , Patterson Johnathan , Pearce Camron , Zuberogoitia Sophie , Avanzi Charlotte , Nigou Jérôme , McNeil Michael , Muñoz Gutiérrez Juan F. , Gilleron Martine , Wheat William H. , Gonzalez-Juarrero Mercedes , Jackson Mary
Published: September 2023

The covalent modification of bacterial (lipo)polysaccharides with discrete substituents may impact their biosynthesis, export and/or biological activity. Whether mycobacteria use a similar strategy to control the biogenesis of its cell envelope polysaccharides and modulate their interaction with the host during infection is unknown despite the report of a number of tailoring substituents modifying the structure of these glycans. Here, we show that discrete succinyl substituents strategically positioned on Mycobacterium tuberculosis (Mtb) lipoarabinomannan govern the mannose-capping of this lipoglycan and, thus, much of the biological activity of the entire molecule. We further show that the absence of succinyl substituents on the two main cell envelope glycans of Mtb, arabinogalactan and lipoarabinomannan, leads to a significant increase of pro-inflammatory cytokines and chemokines in infected murine and human macrophages. Collectively, our results validate polysaccharide succinylation as a critical mechanism by which Mtb controls inflammation.
Television in Ghana: History, policy, culture and prospects in a globalized media ecology
Authors: Dadzie Ramatu Mustapha
Published: September 2023

The move to constitutional rule and deregulation of media ushered Ghana into the milieu of media globalization. As such local television is experiencing a balancing act between national autonomy and international commitments. Given the limited empirical scrutiny of the progress of local television in the globalization milieu, this study examines the globalized and dynamic environment within which local television functions in Ghana. This study reveals an industry that is characterized by changing notions of culture and shifting policies that attempt to accommodate contemporary global commitments, while at the same time give support to culturally authentic and nationally relevant contents.
The stuff that dreams are made of: The Maltese Falcon and the art of adapted screenwriting
Authors: Melnyk George
Published: September 2023

There is a close relationship between pulp fiction and film noir. The link is the adapted screenplay. While there has been extensive critical work on film noir for almost 70 years there has not been an equally intense scrutiny of the process of adaptation and its product, the adapted screenplay. This article offers a critical discussion of the complex literary-cinematic ecology of the noir adaptation/screenwriting process for The Maltese Falcon and the role of fidelity in the adaptation as a key ingredient of the film’s success. The methodology involves examining the various factors, methods and players involved in the creation of the screenplay with an emphasis on a comparative study of the literary text and its screenplay. The article concludes that fidelity in adaptation was central to the film’s appeal and that the film’s success raised the profile of the novel. The level of screenwriting talent, the nature of the relationship between the screenwriter and the director and the depth of cultural resonance found in the original literary text were vital influences on the adaptation process and the resulting film. These factors turned The Maltese Falcon screenplay into a standard for future pulp to noir adaptations.
PERANAN INFORMASI DALAM PROSES KREATIVITAS
Authors: Munandar Ashar Sunyoto
Published: September 2023

Kreativitas bukan saja hadir pada zaman sekarang, kreativitas sudah ada sepanjang masa, sepanjang sejarah manusia itu sendiri
ANTISIPASI UNDANG-UNDANG PATEN DAN DAMPAKNYA PADA INFORMASI TEKNOLOGI
Authors: Kesowo Bambang
Published: September 2023

Faktor teknologi bahkan sering dikatakan menjadi isu sentra dalam industri.
MENUJU KEMITRAAN INFORMASI LINGKUNGAN HIDUP
Authors: Djajadiningrat Surna T.
Published: September 2023

Informasi merupakan bagian penting dan tidak terpisahkan dari bagian pembangunan berkelanjutan dan setiap negara menandatangani Deklarasi Rio De Janerio wajib untuk melaksanakan dan mewujudkan agenda 21
A Systematic Review of Interventions for Depression in the Elderly
Authors:   Crisis and Emergency Management: Theory and Praxis, Kim Nam Hee
Published: September 2023

This study is to analyze the characteristics and contents of depression interventions to improve depression in the elderly, and to provide useful basic data for developing interventions to improve depression in the elderly in the future. This study conducted a systematic literature review to analyze and integrate the results of depression intervention studies conducted on the elderly in the domestic nursing field since 2010. For depression interventions applied to the elderly, less than 10 sessions were 21 sessions, weekly sessions were 18 sessions, and activity time per session was 60 minutes (14 sessions). The most frequently used depression measurement tool was the Korean version of the GDSSF-K, which was modified and supplemented to suit Korea. Based on the results of this study, if a depression intervention program is developed by integrating laughter therapy and other interventions, which are suggested to be most effective for the elderly, it will help reduce the suicide rate and improve the quality of life of the elderly.
Study the Nexus between Indicators of Surface Water Quality on the Small River for Better Basin Management
Authors: MITRYASOVA Olena , MATS Andrii , SALAMON Ivan , SMYRNOV Victor , CHVYR Vadym
Published: September 2023

Purpose is determination of interdependencies between hydrochemical indicators of surface water quality in the example of a small river as a limiting factor of formation of aquatic ecosystem of territories. Correlation analyses of the studied indicators of water quality was conducted on an average value of each indicator (pH, phosphates, nitrates, BOD, COD, soluble oxygen). Found a significant increase in phosphates with time, with a coefficient of correlation R=0.71, indicating contamination of the water facility. This can be explained by the arrival of various surface-active substances and, to a lesser extent, the lack of quality sewage treatment facilities. Positive changes are founded in water object that is related to a decrease in the value of BOD. This is due to a decrease in the use of oxygen on oxidation of inorganic and organic substances. In general, the use of river runoff of the river above normal, and the overall environmental state of river basin is defined as "extremely poor".
Attracting Investment for Rural Development: Introduction of Organic Agriculture and ESG Principles in Kazakhstan
Authors: KUANDYKOVA Marzhan , AKPANOV Aidos , TLEUBAYEVA Santay , BELGIBAYEV Anuar , MAKHMUDOV Askar , ATCHABAROVA Aigul
Published: September 2023

Today, the market for organic products is one of the most dynamic in the world. The prerequisites for this are the growing consumer demand for food that is environmentally friendly and safe for human health. In Kazakhstan, despite the existing problem, the development of organic production in the agro-food system appears promising and, if implemented in compliance with environmrntal, social and governance (ESG) principles, can be beneficial for the country, which determines the relevance of the study. The purpose of the study is to analyze the possibilities of investment incentives for organic agriculture for the sake of the development of Kazakhstan's rural areas and the implementation of ESG principles. The study employs the following general scientific methods: a) theoretical: analysis of scientific sources; b) empirical: the focused interview method (focus group), an online expert survey; c) mathematical and statistical methods of data analysis; triangulation method. The study concludes that Kazakhstan has considerable potential for the development of organic agriculture. The production of organic products in Kazakhstan is an extremely promising area that can promote the competitiveness of agricultural products, significantly improve the country's image on the world stage, and facilitate the development of market infrastructure and sustainable development of the country as a whole.
Do Environmentally Responsible Practices in Accommodation Establishments Matter?
Authors: NDZUNGU Lulama , KLEYNHANS Carina , ROELOFFZE Antoinette
Published: September 2023

Environmentally responsible practices (ERPs) in accommodation establishments are identified as the implementation and or execution of certain principles in such a way that it lowers the production of waste, preserve energy, and encourages environmental health. The main purpose of this study is to identify whether or not environmentally responsible practices in accommodation establishments matters. A descriptive survey design was used. The study utilised a quantitative research approach with questionnaires as a data collection instrument. The data were analysed using Statistic Package for the Social Science (SPSS), software version 23, to enable the generation of descriptive and bivariate statistics for the interpretation of the results. The following themes emerged from the study; namely, guests’ preferences of ERPs, influence of return patronage and the effect knowledge have on ERPs. Most participants were not bothered by the re-use of linen and towels, yet establishments still need to invest more time in educating the guests in this regard. Guests indicated that they would return to an accommodation establishment that practices linen reuse programs, water conservation and waste management procedures. This study provides insights on ways guests view ERPs and their preferences. It provides accommodation establishments a scope on what their guests are comfortable in participating on.
Investing in Human Capital for Green and Sustainable Development
Authors: BEISEMBINA Ansagan , GIZZATOVA Alla , KUNYAZOV Yerlan , ERNAZAROV Takhir , MASHRAPOV Nurlan , DONTSOV Sergey
Published: September 2023

Green and sustainable development is crucial for addressing environmental challenges and promoting a more sustainable future. Central to this endeavor is the investment in human capital, which involves developing and empowering individuals with the knowledge, skills, and mindset necessary to contribute and lead sustainable development efforts. Explores the importance of investing in human capital and the various ways in which it can be fostered to drive green and sustainable development. An analysis was made in the areas of investments in health care, education and environmental protection in order to develop a sustainable green development of the economy.
Management of Bioculture Potential with Environmental Perspective Based on Local Wisdom
Authors: PUTRA Trio Beni , THAMRIN Thamrin , SAAM Zulfan , HUSEIN Sofyan
Published: September 2023

This paper analyzes how the system for managing bio culture potential is based on the local wisdom of the Duanu tribe, Indragiri Hilir Regency, and aims to develop a strategy for managing potential with an environmental perspective based on the local wisdom of the community. In this regard, is used a mixed method by distributing questionnaires, a sample of 100 respondents using a purposive sampling approach, and data collection techniques using surveys, interviews, and observations. The findings of this study conducted the strategy formulation by determining alternative strategies obtained from the results of the SWOT analysis. The tool used in this analysis is the Quantitative Strategic Planning Matrix to see the priority strategies and set the environmental perspective based on local wisdom.
Herbal Allies for Rheumatoid Arthritis: A Comprehensive Review of Natural Products
Authors: Singh Ankita , Kaushik Madhu , Sinha Swati , Kachhap Oraon Ravindra Kumar , Sharma Narotam , Rautela Indra
Published: September 2023

Rheumatoid arthritis (RA) is a chronic autoimmune disease affecting primarily the joints, producing discomfort, inflammation, and potentially damaging joint destruction. Rheumatoid arthritis affects people all around the world, and its prevalence and impact differ by place. The World Health Organisation (WHO) estimates that 0.5% to 1% of the global population has rheumatoid arthritis. To decrease the progression of rheumatoid arthritis, disease-modifying anti-rheumatic medications (DMARDs) such as methotrexate and sulfasalazine are used. TNF inhibitors and IL-6 inhibitors are two examples of biologic DMARDs that target specific immune system components. Nonsteroidal anti-inflammatory drugs (NSAIDs) and analgesics help manage pain and inflammation while corticosteroids provide short-term relief during flares. Treatment strategies are tailored to the individual, and talking with a healthcare expert is essential for effective management. Herbal therapies are regarded to offer an advantage over synthetic pharmaceuticals for the treatment of rheumatoid arthritis due to their natural approach, potential symptom relief, holistic approach to health, and individualised therapy possibilities. However, scientific data supporting their effectiveness is sparse and variable, and their quality and safety can vary. Before adopting herbal therapies as part of a treatment plan, it is critical to check with a healthcare expert. Because of their natural chemicals with anti-inflammatory and analgesic characteristics, medicinal herbs may aid rheumatoid arthritis. However, further research is required to determine their efficacy, safety, and appropriate application.
Lactate thresholds and role of nitric oxide in male rats performing a test with forced swimming to exhaustion
Authors: Potolitsyna Natalya , Parshukova Olga , Vakhnina Nadezhda , Alisultanova Nadezhda , Kalikova Lubov , Tretyakova Anastasia , Chernykh Alexey , Shadrina Vera , Duryagina Arina , Bojko Evgeny
Published: September 2023

The present study assessed a complex of biochemical parameters at the anaerobic threshold (AT) in untrained male Wistar rats with different times to exhaustion (Tex) from swimming. The first group of rats was randomly divided into six subgroups and subjected to a swimming test to exhaustion without a load or with a load of 2%–10% of body weight (BW). In the first group, we established that for untrained rats, the load of 4% BW in the swimming to exhaustion test was optimal for endurance assessment in comparison with other loads. The second group of rats went through a preliminary test with swimming to exhaustion at 4% BW and was then divided into two subgroups: long swimming time (LST, Tex > 240 min) and short swimming time (SST, Tex < 90 min). All rats of the second group performed, for 6 days, an experimental training protocol: swimming for 20 min each day with weight increasing each day. We established that the AT was 3% BW in SST rats and 5% BW in LST rats. The AT shifted to the right on the lactate curve in LST rats. Also, at the AT in the LST rats, we found significantly lower levels of blood lactate, cortisol, and NO.
GOTHA.digital – Portal für übergreifende Sammlungsforschung
Authors: Carius Hendrikje , Rückert Susanne
Published: September 2023

Seit April 2023 steht am Sammlungs- und Forschungsstandort Gotha die Plattform GOTHA.digital zur Verfügung. Das integrierte digitale Portal bietet einen Such-, Präsentations- und Forschungsraum für die Gothaer Sammlungen. Es vereint Daten, Objekte und Sammlungen in digitaler Form und erleichtert damit die umfassende Erforschung des historischen Zusammenhangsmaterials, das heute in verschiedenen Institutionen bewahrt wird. In diesem Beitrag wird das Projekt zum Aufbau des Portals sowie seine Komponenten, technischen Grundlagen und zukünftige Perspektiven vorgestellt.
Der Umgang mit potentiell arsenbelasteten Bibliotheksbeständen an der Universitätsbibliothek Kiel – ein Werkstattbericht
Authors: Bruns Jessica , Helmkamp Kerstin , Sindt Ruth
Published: September 2023

Während die Problematik schadstoffbelasteter Kulturgüter im musealen Bereich bereits seit Längerem bekannt ist, setzt sich erst seit Kurzem die Erkenntnis im Bibliothekswesen durch, dass auch Bibliotheksbestände betroffen sein können. Eine besondere Gefährdung geht dabei von Arsenverbindungen aus, die bis ins 19. Jahrhundert zum Färben von Buchbestandteilen genutzt worden sind. Als eine der ersten Bibliotheken in Deutschland führt die Universitätsbibliothek Kiel derzeit ein großangelegtes Projekt zur Identifikation und Testung potentiell arsenhaltiger Bestände durch. Der vorliegende Beitrag liefert hierzu einen ersten Arbeitsbericht.
In-plane nonlinear postbuckling and buckling analysis of Lee’s frame using absolute nodal coordinate formulation
Authors: Shaukat Abdur Rahman , Lan Peng , Wang Jia , Wang Tengfei , Lu Nianli
Published: September 2023

In this study, four absolute nodal coordinate formulation (ANCF)-based approaches are utilized in order to predict the buckling load of Lee’s frame under concentrated load. The first approach employs the standard two-dimensional shear deformable ANCF beam element based on the general continuum mechanics (GCM). The second approach adopts the standard ANCF beam element modified by the locking alleviation technique known as the strain-split method. The third approach has the standard ANCF beam element with strain energy modified by the enhanced continuum mechanics formulation. The fourth approach utilizes the higher-order ANCF beam element based on the GCM. Two buckling load estimation methods are used, i.e., by tracing the nonlinear equilibrium path of the load–displacement space using the arc-length method and applying the energy criterion, which requires tracking eigenvalues through the dichotomy scheme. Lee’s frame with different boundary conditions including pinned–pinned, fixed-pinned, pinned-fixed, and fixed–fixed are studied. The complex nonlinear responses in the form of snap-through, snap-back, and looping phenomena during nonlinear postbuckling analysis are simulated. The critical buckling loads and buckling mode shapes obtained through the energy criterion-based buckling method are obtained. After the comparison, higher-order beam element is found to be more accurate, stable, and consistent among the studied approaches.
The Yamabe flow on asymptotically flat manifolds
Authors: Chen Eric , Wang Yi
Published: September 2023

We study the Yamabe flow starting from an asymptotically flat manifold

(

M
n

,

g
0

)

(M^{n},g_{0})

.
We show that the flow converges to an asymptotically flat, scalar flat metric in a weighted global sense if

Y
⁢

(
M
,

[

g
0

]

)

>
0

Y(M,[g_{0}])>0

, and show that the flow does not converge otherwise.
If the scalar curvature is nonnegative and integrable, then the ADM mass at time infinity drops by the limit of the total scalar curvature along the flow.
An Early Etruscan Toddler’s Grave in the Transitional Trench Tomb Cemetery of San Simone, San Giuliano (VT): Wealth, Status, and the Hopes of a Family
Authors: Zori Davide , Zori Colleen , Ikeshoji-Orlati Veronica , Aprile Jamie , Baker Lori , Fulton James , Gibbs Anna , Cassotta Angela
Published: September 2023

In this article, we report on a noteworthy early Etruscan trench tomb of a young child, most likely a girl, found intact within the cemetery of San Simone at the San Giuliano necropolis (Viterbo Province). The richly appointed grave contained the remains of a toddler aged 2–3 years, inhumed with wealth befitting an elite adult woman. Typically, the tombs of infants and young children are thought to portray status ascribed to their kin group. The objects interred in the grave reflect the high status of her kinship group, as well as her family’s aspirations for her and the social roles she was meant to have occupied if she had lived longer. Objects in the grave connect her to her ancestors and reveal her anticipated role in textile production and in facilitating and/or orchestrating politically important banquets, possibly even accompanied by sacrificial feasts. But this girl buried at San Giuliano may have been different in other ways as well. She likely looked different, probably having a cleft palate that may have led to her premature death. Some of the objects buried with her, particularly the amber pendant necklace, may have been meant to have curative or healing properties. Using an analysis of the construction of the grave, the osteological remains, and particularly the elaborate funerary assemblage, we explore this child’s expected roles in early Etruscan society and show how her family represented their connections to a broad range of communities across central Italy and beyond.
Analyzing SQL payloads using logistic regression in a big data environment
Authors: Shareef Omar Salah F. , Hasan Rehab Flaih , Farhan Ammar Hatem
Published: September 2023

Protecting big data from attacks on large organizations is essential because of how vital such data are to organizations and individuals. Moreover, such data can be put at risk when attackers gain unauthorized access to information and use it in illegal ways. One of the most common such attacks is the structured query language injection attack (SQLIA). This attack is a vulnerability attack that allows attackers to illegally access a database quickly and easily by manipulating structured query language (SQL) queries, especially when dealing with a big data environment. To address these risks, this study aims to build an approach that acts as a middle protection layer between the client and database server layers and reduces the time consumed to classify the SQL payload sent from the user layer. The proposed method involves training a model by using a machine learning (ML) technique for logistic regression with the Spark ML library that handles big data. An experiment was conducted using the SQLI dataset. Results show that the proposed approach achieved an accuracy of 99.04, a precision of 98.87, a recall of 99.89, and an F-score of 99.04. The time taken to identify and prevent SQLIA is 0.05 s. Our approach can protect the data by using the middle layer. Moreover, using the Spark ML library with ML algorithms gives better accuracy and shortens the time required to determine the type of request sent from the user layer.
The crystal structure of catena-poly[(4-iodopyridine-2,6-dicarboxylato-κ4
O,N,O′,O′′)(4-imidazol-1-yl-pyridine-κN)copper(II)], C15H9N4O4ICu
Authors: Kong Yang , Dang YiXuan , Tian Bin , Wang Chang-Zhao , Han ZiHao , Lu ChenFei
Published: September 2023

C15H9N4O4ICu, monoclinic, P21/c (no. 14), a = 13.6216(4) Å, b = 13.4754(4) Å, c = 8.5023(3) Å, β = 102.610(3)°, V = 1522.99(9) Å3, Z = 4, R
gt(F) = 0.0297, wR
ref(F
2) = 0.0781, T = 293 K.
The crystal structure of catena-poly[(μ
2-2H-1,2,3-triazole-4,5-dicarboxylato-κ
2
O, O′)-(μ
2-1,3-bis((1H-imidazol-1-yl)methyl)benzene-κ
2
N,N′) zinc(II)], C18H15N7O4Zn
Authors: Mao Qian , Wang Yanfei , Zhang Zhonghua , Ji Jinlan
Published: September 2023

C18H15N7O4Zn, triclinic, P

1
‾

$\overline{1}$

(no. 2), a = 9.1100(8) Å, b = 10.6451(7) Å, c = 12.0479(8) Å, α = 95.238(5)∘, β = 112.154(7)∘, γ = 112.971(7)∘, V = 956.56(13) Å3, Z = 2, R

gt
(F) = 0.0264, wR

ref
(F
2) = 0.0731, T = 298 K.
NASA DART mission: A preliminary mathematical dynamical model and its nonlinear circuit emulation
Authors: Buscarino Arturo , Famoso Carlo , Fortuna Luigi , La Spina Giuseppe
Published: September 2023

On September 22, 2022, a spacecraft, designed by the Double Asteroid Redirection Test (DART) team, successfully attempted to deflect the orbit of the asteroid Dimorphos, which together with Didymos, constitutes a binary system of near-Earth asteroids orbiting around the Sun. The effect of the impact of the spacecraft was to shorten the orbit of Dimorphos of about 33 min with respect to the original one. In this communication, a simple nonlinear circuit emulator based on a mathematical model allowing the emulation of the DART mission behavior is presented. The modeling is approached referring to the Kepler problem that leads to a highly nonlinear dynamical model. The problem is approached numerically, by using appropriate integration algorithms for both the two-body and three-body formulations of the problem, and experimentally, by means of an analog/digital electronic circuit emulator of the system that allows us to realize faster and qualitative more efficient experiments.
The Impact of Customer Perceived Justice on Target-Based Customer Citizenship Behaviors: The Mediating Effects of Customer Trust and Affective Commitment
Authors: Ali Ahmed Hassaan , Song Jing
Published: September 2023

Customer citizenship behaviors (CCBs) allow firms to boost their performance and competitiveness, but little is known about the impact of customer perceived justice (CPJ) in frontline service encounters on different key dimensions of target-based CCBs. Drawing on the stimulus-organism-response framework and theories of equity and social exchange, the present investigation developed an integrative framework to explore how CPJ influences target-based CCBs in the after-sales service field. Using survey data collected from 368 smartphone customers in China, structural equation modeling via AMOS v. 24 was employed to empirically examine the hypotheses. The findings revealed that CPJ positively impacted the behavior to help other customers and provide feedback to the company. Customer trust and affective commitment mediated the links between CPJ and target-based CCBs, respectively. The findings hold theoretical and practical implications for strategically managing CPJ and target-based CCBs in frontline service encounters.