bluuebunny/crossref_metadata_2025 huggingface dataset:
Spectrofluorometric quantitative analysis of aripiprazole based on quenching of natural derived carbon quantum dots in spiked human plasma
Authors: Alaqel Saleh I. , Alqahtani Arwa S. , Alharbi Adnan , Althobaiti Yusuf S. , Bamaga Ahmed K. , Algarni Majed A. , Almrasy Ahmed A. , Almalki Atiah H.
Published: November 2023

Autism spectrum disorder is a significant concern worldwide, particularly in Middle Eastern countries. Aripiprazole, a psychiatric medicine that works as a partial agonist at D2 receptors, is often used for autism-related behavior issues in children. Monitoring the therapy of aripiprazole could enhance the safety and effectiveness of treatment for autistic individuals. The purpose of this study was to develop a highly sensitive and environmentally friendly method for analysis of aripiprazole in plasma matrix. To achieve this, water-soluble N-carbon quantum dots were produced from a natural green precursor, guava fruit, and used in fluorescence quenching spectroscopy to determine the presence of aripiprazole. The synthesized dots were analyzed and characterized using transmission electron microscopy and Fourier transform infrared spectroscopy, and they showed a strong fluorescence emission peak at 475 nm. The proposed method was validated according to ICH M10 guidelines and was shown to be highly sensitive, allowing for nanoscale determination of aripiprazole in plasma matrix. Additionally, the method was compared to a previously reported spectrophotometric method, and it was found to be more sensitive and consistent with the principles of green analytical chemistry.
Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm
Authors: Masood Adil , Hameed Mohammed Majeed , Srivastava Aman , Pham Quoc Bao , Ahmad Kafeel , Razali Siti Fatin Mohd , Baowidan Souad Ahmad
Published: November 2023

Fine particulate matter (PM2.5) is a significant air pollutant that drives the most chronic health problems and premature mortality in big metropolitans such as Delhi. In such a context, accurate prediction of PM2.5concentration is critical for raising public awareness, allowing sensitive populations to plan ahead, and providing governments with information for public health alerts. This study applies a novel hybridization of extreme learning machine (ELM) with a snake optimization algorithm called the ELM-SO model to forecast PM2.5concentrations. The model has been developed on air quality inputs and meteorological parameters. Furthermore, the ELM-SO hybrid model is compared with individual machine learning models, such as Support Vector Regression (SVR), Random Forest (RF), Extreme Learning Machines (ELM), Gradient Boosting Regressor (GBR), XGBoost, and a deep learning model known as Long Short-Term Memory networks (LSTM), in forecasting PM2.5concentrations. The study results suggested that ELM-SO exhibited the highest level of predictive performance among the five models, with a testing value of squared correlation coefficient (R2) of 0.928, and root mean square error of 30.325 µg/m3. The study's findings suggest that the ELM-SO technique is a valuable tool for accurately forecasting PM2.5concentrations and could help advance the field of air quality forecasting. By developing state-of-the-art air pollution prediction models that incorporate ELM-SO, it may be possible to understand better and anticipate the effects of air pollution on human health and the environment.
A novel approach to estimate the weight of food items based on features extracted from an image using boosting algorithms
Authors: Konstantakopoulos Fotios S. , Georga Eleni I. , Fotiadis Dimitrios I.
Published: November 2023

Managing daily nutrition is a prominent concern among individuals in contemporary society. The advancement of dietary assessment systems and applications utilizing images has facilitated the effective management of individuals' nutritional information and dietary habits over time. The determination of food weight or volume is a vital part in these systems for assessing food quantities and nutritional information. This study presents a novel methodology for evaluating the weight of food by utilizing extracted features from images and training them through advanced boosting regression algorithms. Α unique dataset of 23,052 annotated food images of Mediterranean cuisine, including 226 different dishes with a reference object placed next to the dish, was used to train the proposed pipeline. Then, using extracted features from the annotated images, such as food area, reference object area, food id, food category, and food weight, we built a dataframe with 24,996 records. Finally, we trained the weight estimation model by applying cross validation, hyperparameter tuning, and boosting regression algorithms such as XGBoost, CatBoost, and LightGBM. Between the predicted and actual weight values for each food in the proposed dataset, the proposed model achieves a mean weight absolute error 3.93 g, a mean absolute percentage error 3.73% and a root mean square error 6.05 g for the 226 food items of the Mediterranean Greek Food database (MedGRFood), setting new perspectives in food image-based weight and nutrition estimate models and systems.
Melanin pigmentation variations in the larval cuticle of almond moth, Ephestia cautella caused by gamma radiation
Authors: Hamza Ali , Zahran Nagwan
Published: November 2023

To determine the effects of gamma radiation on the melanization process and phenoloxidase activity, Ephestia cautella larvae were exposed to dosages of 200, 400, 600, 800, and 1000 Gy. After irradiation, the number of non melanized larvae and the number exhibiting a slight melanization usually increased. The degree of melanization in treated larvae differed significantly from untreated larvae. The amount of melanin usually decreases as the dosage increases and as time passes after the treatment. The results of the phenoloxidase assay indicate that the enzyme activity responds differently to radiation. For instance, at doses of 200, 400, and 800 Gy, the enzyme activity remained consistent in both control and irradiated larvae. However, at doses of 600 and 1000 Gy, the enzyme activity increased to 14.92 and 13.37 O.D. units, respectively, compared to 8.81 O.D. units in the control. In order to determine if irradiated larvae have been previously exposed to ionizing radiation, a quick and easy test based on phenoloxidase activity or the melanization response is presented for use in quarantine treatment. Histological changes, specifically in the pigment granules of melanin, were studied using a light microscope. Upon inspection of the unirradiated larvae, it was observed that brown melanin pigment granules were deposited in the epicuticle and exocuticle layers of the cuticle. When gamma radiation dosages were administered to larvae, it was observed that the melanin pigment gradually diminished until it vanished at the highest dose (1000 Gy).
Narcissistic coaches and athletes’ individual rowing performance
Authors: Nevicka Barbara , van Gerven Emma J. G. , Sedikides Constantine
Published: November 2023

Narcissism, a personality trait marked by an excessively self-aggrandizing, entitled, and dominant orientation, has been associated with high performance under competitive pressure, as these contexts afford the opportunity to self-enhance. Narcissism is often characteristic of organizational and political leaders, yet little is known about narcissism in sports coaches. We propose that in a competitive context narcissistic coaches could inspire and motivate their athletes to raise their performance. We investigated the association between coach narcissism and athletes’ performance, and the role of athletes’ perceived self-enhancement opportunity as a potential mediating mechanism. We examined coach narcissism, athletes’ individual end times (i.e., performance), and athletes’ perceptions of self-enhancement opportunity during annual national indoor rowing competitions in 266 national level competitive rowers from 52 rowing clubs. Results of multilevel analyses showed that coach narcissism positively predicted athlete performance, and this was explained by athletes’ perceived opportunity to self-enhance during the competition. Thus, narcissistic coaches seem to reinforce athletes’ perceptions that competition provides them with an opportunity to show off their skills, which in turn accounts for athletes’ better performance in comparison to athletes who do not train with narcissistic coaches. The findings point to a potentially functional side of narcissism in coaching.
Long-term warming and human-induced plankton shifts at a coastal Eastern Mediterranean site
Authors: Kalloniati K. , Christou E. D. , Kournopoulou A. , Gittings J. A. , Theodorou I. , Zervoudaki S. , Raitsos D. E.
Published: November 2023

Plankton are key ecological indicators for assessing the impacts of human-induced pressures like climate change and waste-water discharge. Here, 26 years (1988–2015) of biweekly in-situ chlorophyll-a concentration, mesozooplankton biomass and remotely-sensed sea surface temperature (SST) data are utilized to investigate long-term changes of plankton biomass and timing of growth (phenology) in relation to warming, in a coastal region of the Saronikos Gulf (Aegean Sea). A Waste-Water Treatment Plant (WWTP) was established in 1995, leading to decreased nutrient concentrations circa 2004. Overall, the results indicate an interplay between warming and changes in ecological status. During higher nutrient input (1989–2004), a temporal mismatch between zooplankton and phytoplankton, and a positive zooplankton growth—SST association, are evident. Conversely, in the warmer, less mesotrophic period 2005–2015, an earlier timing of zooplankton growth (related to copepod abundance) synchronizes with phytoplankton growth, including a secondary autumn growth period. Concurrently, an abrupt negative interannual relationship between SST and mesozooplankton, and a summer biomass decrease (linked with cladoceran abundance) are observed. This work provides evidence that current warming could alter plankton abundance and phenology in nearshore Eastern Mediterranean ecosystems, suggesting shifts in plankton community composition that could trigger potential cascading effects on higher trophic levels.
Artificial intelligence-based forensic sex determination of East Asian cadavers from skull morphology
Authors: Kondou Hiroki , Morohashi Rina , Kimura Satoko , Idota Nozomi , Matsunari Ryota , Ichioka Hiroaki , Bandou Risa , Kawamoto Masataka , Ting Deng , Ikegaya Hiroshi
Published: November 2023

Identification of unknown cadavers is an important task for forensic scientists. Forensic scientists attempt to identify skeletal remains based on factors including age, sex, and dental treatment remains. Forensic scientists commonly consider skull or pelvic shape to evaluate the sex; however, these evaluations require sufficient experience and knowledge and lack objectivity and reproducibility. To ensure objectivity and reproducibility for sex evaluation, we applied a gated attention-based multiple-instance learning model to three-dimensional (3D) skull images reconstructed from postmortem head computed tomography scans. We preprocessed the images, trained with 864 training data, validated the model with 124 validation data, and evaluated the performance of our model in terms of accuracy with 246 test data. Furthermore, three forensic scientists evaluated the 3D skull images, and their performances were compared with those of the model. Our model showed an accuracy of 0.93, which was higher than that of the forensic scientists. Our model primarily focused on the entire skull owing to visualization but focused less on the areas often investigated by forensic scientists. In summary, our model may serve as a supportive tool to identify cadaver sex based on skull shape. Further studies are required to improve the model’s performance.
Cranial midline shift is a predictor of the clinical prognosis of acute cerebral infarction patients undergoing emergency endovascular treatment
Authors: Xu Xiao-Min , Zhang Hao , Meng Ren-Liang
Published: November 2023

Endovascular treatment is widely used in acute cerebral infarction (ACI), but patient prognosis varies greatly. We aimed to investigate the predictive value of midline shift (MLS) threshold for the clinical prognosis of patients with ACI who undergo emergency endovascular treatment. We prospectively enrolled patients with ACI who received endovascular treatment within 24 h of onset. Cranial images were collected within 24 h after endovascular treatment. We assessed MLS at the level of the midbrain, pineal calcification, septum pellucida, and falx cerebri and noted the maximum MLS (MLS[max]) among these locations. Functional outcomes were assessed at 90 days using the modified Rankin Scale. Receiver operating characteristic curves and optimal cutoff points were used to analyze the predictive value of MLS. We enrolled 82 patients, including 46 with poor outcomes. Although the MLS values at all levels were significantly different between the poor and favorable outcome groups (p < 0.01), the MLS(max) tended to be a better marker for 90-day poor outcome. To predict poor outcome, the optimal cutoff values for MLS(max) within 24 and 48 h after intervention were 0.45 and 2.35 mm, respectively. MLS(max) has predictive value for patient prognosis.
Amplification of poly(I:C)-induced interleukin-6 production in human bronchial epithelial cells by priming with interferon-γ
Authors: Okuma Norikazu , Ito Masa-aki , Shimizu Tomoyoshi , Hasegawa Atsuya , Ohmori Shin’ya , Yoshida Kazuki , Matsuoka Isao
Published: November 2023

Proinflammatory cytokine interleukin (IL)-6 was associated with disease severity in patients with COVID-19. The mechanism underlying the excessive IL-6 production by SARS-Cov-2 infection remains unclear. Respiratory viruses initially infect nasal or bronchial epithelial cells that produce various inflammatory mediators. Here, we show that pretreatment of human bronchial epithelial cells (NCl-H292) with interferon (IFN)-γ (10 ng/mL) markedly increased IL-6 production induced by the toll-like receptor (TLR) 3 agonist poly(I:C) (1 µg/mL) from 0.4 ± 0.1 to 4.1 ± 0.4 ng/mL (n = 3, P < 0.01). A similar effect was observed in human alveolar A549 and primary bronchial epithelial cells. TLR3 knockdown using siRNA in NCl-H292 cells diminished the priming effects of IFN-γ on poly(I:C)-induced IL-6 production. Furthermore, the Janus kinase (JAK) inhibitor tofacitinib (1 µM) inhibited IFN-γ-induced upregulation of TLR3, and suppressed poly(I:C)-induced IL-6 production. Quantitative chromatin immunoprecipitation revealed that IFN-γ stimulated histone modifications at the IL-6 gene locus. Finally, IFN-γ priming significantly increased lung IL-6 mRNA and protein levels in poly(I:C)-administrated mice. Thus, priming bronchial epithelial cells with IFN-γ increases poly(I:C)-induced IL-6 production via JAK-dependent TLR3 upregulation and chromatin remodeling at the IL-6 gene locus. These mechanisms may be involved in severe respiratory inflammation following infection with RNA viruses.
Flavour of Fish and Fish Proteins
Authors: Selli Serkan , Sevindik Onur , Guclu Gamze , Zhao Jing
Published: November 2023

Fish or fishery products are appreciated worldwide for their unique flavour and nutritional benefits. Fresh fish is a composite matrix that has a balance of lipids and lipid-derived compounds, amino acids, proteins, nucleotides, carbohydrates, and other minor compounds that are responsible for the distinct and delicate flavour of seafood. Complex lipolytic and proteolytic reactions affect the generation and the perception of seafood flavour. The realization of these complicated interactions, including specific reactions of thermal degradation, Maillard pathway, enzyme activity and oxidation, is summarized, and the constitutive compounds produced from the reactions are explained in detail. This chapter predominantly focuses on the generation of fish flavour and the effects of diverse external and internal processes on its formation. Additionally, an overview of the valorization of seafood wastes and by-products into protein hydrolysates is provided.
Solid-state NMR spectroscopy
Authors: Aliev Abil E.
Published: November 2023

This solid-state NMR report summarises the subject and results of selected articles and original papers published in 2022. In addition to the published reviews, the two major sections in this report consider various methodological developments and a broad range of applications. The presented classification of papers into different sections and subsections is intended to ease the overview of the results obtained in 2022, as well as to evaluate the directions in which solid-state NMR techniques and applications are likely to develop in the near future.
A 3D hanging spheroid-filter plate for high-throughput drug testing and CAR T cell cytotoxicity assay
Authors: Chen Zhenzhong , Han Seokgyu , Kim Sein , Lee Chanyang , Sanny Arleen , Tan Andy Hee-Meng , Park Sungsu
Published: November 2023

3D Hanging spheroid-filter plate (3DHS-FP) comprises a 3D hanging dripper (top) and a spheroid filter plate (bottom). It is designed to streamline spheroid formation and the effortless separation of unbound and dead cells from tumor spheroids.
Detection and analysis of hyaluronic acid raw materials from different sources by NIR and aquaphotomics
Authors: Ma Xiaobo , Guo Xueping , Lin Boran , Wang Haowei , Dong Qin , Huang Siling , Li Lian , Zang Hengchang
Published: November 2023

The water matrix coordinates were determined by chemometric methods and then qualitative and quantitative analyses were carried out.
Injectable cell-laden silk acid hydrogel
Authors: Sun Ziyang , Liu Haoran , Dai Dandan , Lyu Hao , Huang Ruochuan , Wang Wenzhao , Guo Chengchen
Published: November 2023

A physically crosslinked protein-based hydrogel was developed based on silk acid. It can be produced under physiological conditions with a modulus close to the extracellular matrix, supporting 3D cell culture and cell-laden injection.
Photodissociation of permanganate (MnO4−) produces the manganese dioxide anion (MnO2−) in an excited triplet state
Authors: Gibbard Jemma A. , Reppel Jonathan , Verlet Jan. R. R.
Published: November 2023

Photodissociation of permanganate near λ = 500 nm produces electronically excited MnO2−, suggesting a ground state dissociation mechanism.
Quantum chemistry meets high-resolution spectroscopy for characterizing the molecular bricks of life in the gas-phase
Authors: Barone Vincenzo
Published: November 2023

Computation of accurate geometrical structures and spectroscopic properties of large flexible molecules in the gas-phase is tackled at an affordable cost using a general exploration/exploitation strategy.
Metal nitrides for seawater electrolysis
Authors: Hu Huashuai , Wang Xiaoli , Attfield J. Paul , Yang Minghui
Published: November 2023

The current strategies and basic mechanisms of metal nitrides for hydrogen production from seawater are reviewed.
ZnFe2O4 nanosheet array: a highly efficient electrocatalyst for ambient ammonia production via nitrite reduction
Authors: Xu Chenggang , Liang Yimei , He Xun , Zhang Ailin , Ouyang Ling , Hu Long , Fan Xiaoya , Luo Yongsong , Zheng Dongdong , Sun Shengjun , Farouk Asmaa , Hamdy Mohamed S. , Sun Xuping
Published: November 2023

ZnFe2O4 nanosheet arrays on nickel foam (ZnFe2O4/NF) act as a high-performance electrocatalyst for the electroreduction of NO2− to NH3.
Phenylsilver – an unexpected one-dimensional coordination polymer of silver(i) tetrads
Authors: Lenz Tabea , Hebenbrock Marian
Published: November 2023

Elucidation of the solid state structure of two distinct one-dimensional coordination polymers of phenylsilver and their structural differences due to co-crystallised solvent molecules.
Impact of the hybridization form of the coordinated nitrogen atom on the electrocatalytic water oxidation performance of copper complexes with pentadentate amine-pyridine ligands
Authors: Yu Kaishan , Wang Tao , Sun Yue , Kang Mei , Wang Xinxin , Zhu Dingwei , Xue Siyi , Shen Junyu , Zhang Qijian , Liu Jinxuan
Published: November 2023

Pyridine group in the ligand is beneficial to reducing the overpotential and improving the stability of copper complexes used as catalysts for OER, while the amino group is advantageous to enhancing catalytic activity.
PdMo bimetallene nanozymes for photothermally enhanced antibacterial therapy and accelerated wound healing
Authors: Zhou Wei , Li Na , Wang Minghui , Wu Peixian , Fu Qian , Wang Wenjie , Liu Zheng , He Shuiyuan , Zhou MengYu , Song Dan , Chen Jie , Lin Nanyun , Wu Yingying , Jiao Lei , Tan Xiaofeng , Yang Qinglai
Published: November 2023

An ultrathin PdMo bimetallene nanozyme with excellent photothermal and peroxidase-like activity is designed for synergistic nanozyme-photothermal sterilization applications and accelerated wound healing.
Reagent-adaptive active site switching on the IrOx/Ni(OH)2 catalyst
Authors: Zheng Qian , Yan Yuandong , Zhong Jiaying , Yan Shicheng , Zou Zhigang
Published: November 2023

IrOx/Ni(OH)2 with reagent-adaptive active sites can switch between urea oxidation and oxygen evolution depending on reagent coverage to adapt to the reaction environment, which is useful for hydrogen production and environmental purification; a promising approach for adaptable catalysis.
Ligilactobacillus acidipiscis YJ5 modulates the gut microbiota and produces beneficial metabolites to relieve constipation by enhancing the mucosal barrier
Authors: Shen Fei , Wang Qianqian , Ullah Sami , Pan Ya , Zhao Minjie , Wang Jing , Chen Ming , Feng Fengqin , Zhong Hao
Published: November 2023

Ligilactobacillus acidipiscis YJ5 modulates the gut microbiota and produces beneficial metabolites to relieve constipation by enhancing the mucosal barrier.
Non-starch polysaccharides from kidney beans: comprehensive insight into their extraction, structure and physicochemical and nutritional properties
Authors: Kong Chunli , Duan Caiping , Zhang Yixuan , Wang Yiying , Yan Zheng , Zhou Sumei
Published: November 2023

The review critically discusses current insights into the physicochemical properties of bioactive molecules in kidney beans and focus on current knowledge of NSP structure and function on intestinal health and metabolism.
A crosslinked silicone coating adjusted by an additive with promising antifouling and ice nucleation inhibition performance
Authors: Du Yuxin , Tang Jiawei , Li Rumin , Liu Jingyuan , Chen Rongrong , Yu Jing , Liu Peili , Wang Jun
Published: November 2023

The presence of ice accumulation and biofouling on ship surfaces causes cost and safety issues in the context of Arctic navigation, however, there has been little research into coatings tailored for use in frigid environments.
Theoretical study of the electronic structure of the complexes of gold, silver, and copper mono- and bimetallic nanoclusters decorated on graphitic carbon nitride (g-C3N4): DFT and TD-DFT studies of photocatalytic activity
Authors: Moradi Hanieh , Farrokhpour Hossein , Hosseini Sayyed Mahdi , Ghiaci Mehran
Published: November 2023

In this study, metal-decorated g-C3N4 complexes are investigated using the DFT method. It is found that metal cluster decoration results in a better light absorption region, reduced band gap, and improved HOMO and LUMO separation compared to g-C3N4.
Photo-induced radical transformations of tosyl cyanide
Authors: Liu Ya , Li Rui , Yu Bing
Published: November 2023

The recent advances in radical-involved transformations of tosyl cyanide (TsCN) are summarized.
Dual stimuli triggerable degradation of graft copolymers
Authors: Clouthier Samantha Marie , Li Jiajia , Tanaka Joji , You Wei
Published: November 2023

Here we report one-pot stimuli-responsive tandem degradation of a graft copolymer with alternating backbone functionalities.
Cooperatively designed aptamer-PROTACs for spatioselective degradation of nucleocytoplasmic shuttling protein for enhanced combinational therapy
Authors: Liu Ran , Liu Zheng , Chen Mohan , Xing Hang , Zhang Penghui , Zhang Jingjing
Published: November 2023

Combination of PS-ApTCs-mediated nucleolin degradation with aptamer–drug conjugate-based chemotherapy enables a synergistic effect on tumor inhibition.
Selective chiral dimerization and folding driven by arene–perfluoroarene force
Authors: Cheng Qiuhong , Hao Aiyou , Xing Pengyao
Published: November 2023

Oligomerization and folding of chiral compounds afford diversified chiral molecular architectures with interesting chiroptical properties, but their rational and precise control remain poorly understood.
Bibliometric analysis of Mosquito population research peaks
Authors: Winarsih  , Mulyati Sri , Adi Nugroho Wahyu , Zainul Aziz Raden Ahmad , Mubarok Husni
Published: November 2023

Research regarding the topic of mosquito population has been on the rise in the last 13 years, and because of that, it is an interesting topic to analyze the trends and growth of. This paper aims to analyze research papers and journals, then visualize research trends on the topic of mosquito population in the last 13 years and identify potential research topics related to mosquito population for future research. The method of this study uses a literature review and bibliometric analysis using Google Scholar, DBLP, and VOSviewer databases, in which 999 documents were collected. The results illustrate that mosquito population research has been on the rise gradually, reaching its peak in 2020 and showing a decline afterwards. The author with the highest contribution is Giovanni Belleni, and the most common type of document is a research paper. More research regarding mosquito populations can be used to analyze the transmission of diseases and the effects of climate change. This study is limited in its scope because most of the data was obtained through Google Scholar and DBLP without thorough filtering. Hence, it is recommended for future research to go through additional steps to filter more of the obtained data.
Decision support system as an element of web-based integrated pest control on cabbage plants
Authors: Wardhani Ni Wayan Surya , Lestantyo Prayudi , Rahmi Nur Silviyah
Published: November 2023

Cabbage leaves are consumed as a healthy vegetable but the plant is very susceptible to attack by leaf caterpillars (P. xylostella). The residue from the periodic use of insecticides is very dangerous to human health. Hence Decision Support System (DSS) was developed which can be used as a reference when spraying insecticides is carried out. The system is intended to estimate the cabbage leaf damage based on web-based photo imagery that is used for detecting the percentage of pest attacks so that pesticides are only applied if the damage to the cabbage leaves is detected to be rather severe. Users are required to upload photos of cabbage plants to be detected. This research is carried out through literature studies, theoretical studies, data collection and location surveys of cabbage plant centers, statistical modeling, making a cabbage leaf hole display detection system with photo images, and making packages or libraries for models that have been developed, adding features that make it easier for users to run it. This developed system after passing the development process carries out 100% black box testing works according to the desired requirements. The implementation of pest experts and testing of this system gets an accuracy of about 87%, so the implementation is carried out on users. This developed system after going through the development process is carried out 100% blackbox testing to function according to the desired needs. The implementation of pest experts and testing of this system gets an accuracy of about 87%, so the implementation is carried out by the user. The results of this study have an analysis that can be stored in a database so that the utilization of recording analysis results can be directly stored in the database, can be printed, and can issue results from the Decision Support System for spraying cabbage pests.
Normalization methods analysis of career pattern using self-organizing map
Authors: Purwanto  , Tjahyaningtijas Hapsari Peni Agustin , Paragas Jesse R. , Buditjahjanto I. Gusti Putu Asto
Published: November 2023

Clustering the distribution of student graduates is an approach used to analyze and understand the success of Vocational High School education programs in preparing graduates to enter the workforce or start their own businesses. The purpose of clustering is to evaluate the effectiveness of educational programs, identify entrepreneurial potential, formulate career planning, and develop entrepreneurial skills, all contributing to the fulfilment of Sustainable Development Goals (SDGs) related to quality education (SDG 4), decent work and economic growth (SDG 8), and industry, innovation, and infrastructure (SDG 9). Through this clustering, schools can evaluate the extent to which quality high school graduates achieve career or entrepreneurial success, supporting the objectives of SDG 4. This information helps in designing educational programs that are more in line with the needs of the job market, providing better career guidance to students, and promoting entrepreneurial skills among high school students, contributing to SDG 4 and SDG 8. Clustering the distribution of vocational high school students by working, continuing, and entrepreneurial status plays an important role in strengthening the link between education and the world of work, aligning with the aims of SDG 4 and SDG 8. Self-Organizing Map (SOM), as an Artificial Neural Network, assists in data clustering or mapping tasks, aiding in the discovery of patterns and trends within the vocational high school graduate population. The result of clustering using Z-Score and Min-Max normalization techniques is 5.31% and 3.98%, respectively, providing insights into the career and entrepreneurship trends and patterns of vocational high school students. This valuable information can be used for the development of educational programs, career guidance initiatives, and improved alignment between education and the needs of the world of work, ultimately contributing to the realization of SDGs 4, 8, and 9.
Forecasting poverty in East Java using vector autoregressive method and vector error correction model
Authors: Sofro A’yunin , Aidha Safira Diah Nur , Khikmah Khusnia Nurul
Published: November 2023

People experiencing poverty are people who are unable to fulfil their basic needs. A region with a dense population is prone to problems overcoming poverty. In this instance, the gross regional domestic product, the human development index, and the open unemployment rate are the variables impacting poverty. Therefore, more study is required to address this issue of poverty. The vector autoregressive and error correction models are two possible approaches. The East Java Central Bureau of Statistics provided the data, which included gross regional domestic product, human development index, open unemployment rate, and percentage of poverty. Forecasting the number of poverty people is obtained using estimates from data that can affect forecasting results. In this article, the best forecasting results are obtained with an RMSE value of 21.51062 using the vector error correction model, namely with a percentage of poverty value of 7.2619.
The influence of disability-friendly corporate branding on company brand equity in East Java
Authors: Junianta Reynaldi Dwi , Iriani Sri Setyo , Nugrohoseno Dwiarko , Nuswantara Dian Anita
Published: November 2023

This research analyzed the influence of disability-friendly corporate branding on corporate brand equity. Corporate branding is built through corporate values, corporate image, and corporate culture. This research uses a quantitative approach, with a population of corporate employees and customers in East Java. A purposive sampling technique was used to take samples from the population with the following criteria: (1) located in the East Java region; (2) an area with Special Needs High School with more than 50 students; (3) data recorded in the industrial directory in East Java Province region. A total of 180 respondents were obtained through distributing questionnaires online. The research data was then processed using SEM-AMOS to carry out analysis. The research results show that there is a significant influence of disability-friendly corporate branding on corporate brand equity. This research conducted research on company efforts to create disability-friendly branding for their companies using a corporate branding approach. Companies need to carry out corporate branding by through implementing the values of inclusivity, a corporate image that cares for people with disabilities, and a culture of equality. This will help companies to increase corporate brand equity which can provide company benefits that contribute to the implementation of SDGs 4, 8, and 10.
How to business environment affect green innovation in small medium enterprises: Systematic literature review
Authors: Fazlurrahman Hujjatullah , Ciptomulyono Udisubakti , Irhamah
Published: November 2023

This paper discovers the concept of green innovation in small and medium-sized enterprises (SMEs). The study deliberates on reputation of green innovation in promoting sustainable development and the need for SMEs to encirculate this practice. The paper offers an overview of the different types of green innovation and their significance in promoting environmental sustainability. It examines the challenges faced by SMEs in adopting green innovation practices, with limited resources and lack of awareness. Furthermore, the paper highlights the benefits of green innovation for SMEs, including increased competitiveness and improved brand image. The study achieves this by providing recommendations for SMEs on how to effectively instrument green innovation practices and strategies. Overall, this paper emphasizes the importance of SMEs role in promoting green innovation and sustainable development. This paper will also discuss the classification of internal and external influences of organizations in green innovation research. Internal organizational influences are classified into human resources, corporate culture, technical capabilities, organizational structure, vision, mission and objectives. The internal influence of the organization consists of political, economic, technology and regulation.
Effects of nitrogen-contaminated irrigation methods on the growth and development of rice and nitrogen movement through cultivation layers in the Red River Delta, Vietnam
Authors: Phan Viet Nguyen , Thi Ngoc Dinh Nguyen , Lan Phuong Dinh , Tien Anh Nguyen
Published: November 2023

The experiment was conducted in the field to evaluate the effect of nitrogen-contaminated irrigation methods on the growth, development, and yield of rice (Oryza sativa L.) and the movement of nitrogen through the cultivation layers. The experiment was arranged in a Randomized Complete Block Design with three replicates. It was conducted in the summer season of 2022 at the rice experiment area of the Faculty of Environment, Vietnam National University of Agriculture, with three treatments, namely: T1 (control; continuous flooding (CF) with clean water), T2 (alternate wetting and drying (AWD) with nitrogen-contaminated water), T3 (CF with nitrogen-contaminated water). Experimental results indicated that different irrigation methods with nitrogen-contaminated water affect the growth, development, and yield of rice and the movement of nitrogen in the cultivated soil layers (at 35 cm depth, 70 cm – depth, 120 cm – depth). T2 treatment was the best irrigation method for reducing the amount of water for irrigation of rice and limiting the amount of excess nitrogen on the arable soil layers, which affects the quality of shallow groundwater. The movement of nitrogen nitrates through shallow groundwater was less than that of ammonium nitrogen form, and there was no difference in nitrogencontaminated irrigation using water-saving (T2) and flooded irrigation (T3) methods and within the safe threshold (QCVN 09-MT:2015/BTNMT).
Carcass and meat quality traits of IPB D1 chicken on black soldier fly larvae (BSFL) dietary inclusion
Authors: Ayuningtyas Gilang , Sembada Pria , Priyambodo Danang
Published: November 2023

The aims research studied the effect of the dietary inclusion of 3 different levels of black soldier fly larvae (BSFL) meal on the slaughter traits and meat nutritional quality of IPB D1 chicken (composite chicken: Pelung, Sentul, Kampung, Cobb Broiler). Five hundred and fifteen IPB D1 chickens were randomly allocated into three treatment groups (P0, P1, and P2) with three replicates/treatment, fifty-five to sixty chickens /replicate). The treatment groups consist of control feed ration (without BSFL)/ T0), 5% BSFL (T1), and 7.5% BSFL (T2). At 8, 9, and 10 weeks of age, eighteen IPB D1 chickens were slaughtered and separated between male and female, afterward, carcasses were weighed and parted into commercial parts. Proximate and Cholesterol analysis conducted on the breast, tight, and leg meat. The research outcomes indicated that BSFL meal as feedstuff showed similar carcass yield at each 8, 9, and 10 weeks of age in male and female chickens. IPB D1 chicken meat from BSFL (T1 and T2) treatment had higher fat content than control both in males and female chicken at 10-week ages. The protein percentage showed insignificant in all treatments, with a range from 19.85%-22.89% in male meat, and 21%-21.62% in female meat.
Opportunity and Challenges in Transforming Agato Organic Plantation’s Agricultural Activities Into Agro-Edutourism
Authors: Indah Rahmani Natasha , Patabang Melewanto , Kurnia Insan , Resmayasari Ira , Astri Muliasari Ade , Larastio Apri
Published: November 2023

Agato Plantation is managed by Bina Sarana Bakti Foundation. The Bina Sarana Bakti Foundation is a company that has many activities in the field of plantations and organic farming, which has been running and has had several visits, so it currently needs to develop its activities towards tourism. Educational tourism is a branch of tourism that combines recreation with learning. Edutourism or educational tourism is a form of tourist activity that involves learning experiences for tourists, which can consist of various forms, namely ecotourism, cultural tourism, rural tourism, and student exchanges between educational institutions. This research will develop the area of the community service foundation, which was initially focused on agricultural activities, and develop it towards educational tourism by utilizing local potential. In this case, local potential is all kinds of real potential owned in the form of natural potential, social, cultural, economic and institutional potential, including superior commodities and potential human resources worthy of development. Judging from the potential of agriculture and education, this company has potential in agriculture and education, which can be collaborated to become an agroedutourism tourism activity.
Physical Condition of Filtrated Wastewater from Bakery Household Business
Authors: Tri Tunggadewi Andini , Hidiya Miesriyani , Sholihah Walidatush , Aziezah Nur
Published: November 2023

The bakery industry is one of the world’s major food industries and varies widely in production scale and process. In Indonesia, bakery household businesses are growing fast. They are one of the home industries that produce large amounts of wastewater, generally from the washing process of production equipment and rooms. Generally, bakery household businesses handle liquid waste from their activities by disposing of it directly into the surrounding environment or by first treating it using a Waste Treatment Plant (WTP), depending on the scale of the business and the type and character of the waste. However, smallto medium-scale bakery household businesses often dispose of their liquid waste directly into the surrounding drainage channels without any prior processing and have the potential to pollute the environment. Based on that, the wastewater generated from the household-scale bakery business must also be treated before being discharged into the environment. Furthermore, wastewater treated beforehand can be reused for other non-consumption household needs. One way to treat domestic waste from household-scale businesses or activities in a bakery is by using media filtration in a simple wastewater filtration system.
Effect of solvent polarity on total phenolic, antioxidant and antibacterial capacity of cherry leaves (Muntingia calabura L.)
Authors: Yulianti Wina , Laila Farida , Martini Rina , Ayuningtyas Gilang , Dian Supardan Atep , Urip Pambudi Sujarnoko Tekad , Ratih Listiasari Faranita , Kusumaningtyas Andien
Published: November 2023

The cherry (Mutingia calabura L.) is a neotropical tree widespread in Indonesia. This study will examine how solvent polarity affects total phenolic, total flavonoids, antioxidants, and antibacterial capacity. The maceration method extracts materials with ethanol, ethyl acetate, and hexane from cherry leaves. The maximum yield, phenolics, flavonoids, and antioxidant capacity are in ethanol solvent. Based on ANOVA at 95% confidence intervals, solvent polarity significantly affected metabolite and activity profiles. However, DPPH, ethyl acetate, and hexane solvents revealed similar antioxidant capacity. The antioxidant capacity of DPPH and FRAP was positively correlated. The DPPH method exhibited more antioxidant capacity, whereas the FRAP approach had superior precision. The Pearson correlation test demonstrated a favourable association between antioxidant capacity and total phenolic, with r = 0.85. The paper disc method for Staphylococcus aureus and E. coli antibacterial testing. As a positive control, Chloramphenicol had an apparent zone diameter of 13.3 mm (Staphylococcus aureus) and 15.8 mm (Escherichia coli). The samples had antibacterial capacity against Staphylococcus aureus and Escherichia coli at 7 mm and 6.5 mm (ethanol), 8.7 mm and 7.2 mm (ethyl acetate), and 9.5 cm and 7.5 cm (hexane). Chemically, hexane solvent was more antimicrobial than others.
Intérêt du régime cétogène dans la prise en charge de la maladie d’Alzheimer
Authors: Charlot Anouk , Lernould Alix , Plus Irène , Zoll Joffrey
Published: November 2023

La maladie d’Alzheimer (MA), pathologie neurodégénérative en expansion, devient une préoccupation importante de santé publique, en raison d’une absence de traitement curatif efficace. Les mécanismes mis en œuvre dans la physiopathologie de la MA sont de mieux en mieux connus, et incluent l’accumulation de plaques amyloïdes et de dégénérescences neurofibrillaires. L’augmentation de l’inflammation et du stress oxydant et l’altération du métabolisme cérébral du glucose aggravent la pathologie en réduisant l’activité neuronale en perturbant la fonction mitochondriale. À l’heure actuelle, le traitement de cette pathologie regroupe différentes approches bien que ces interventions n’aient pas un effet curatif, mais uniquement compensatoire. L’alimentation cétogène, pauvre en glucides et enrichie en lipides, couplée à une prise de triglycérides à chaîne moyenne (MCT), favorise la production de corps cétoniques, substrats énergétiques qui pourraient présenter des effets neuroprotecteurs bénéfiques pour les personnes atteintes de la MA. Une telle prise en charge nutritionnelle pourrait limiter la progression de la maladie et améliorer les capacités cognitives des patients. Cette revue vise à examiner le rôle éventuel et les mécanismes neuroprotecteurs de l’alimentation cétogène dans la progression de la MA, et décrit les avantages et les limites de son utilisation comme stratégie thérapeutique.
Aspects juridiques des méthodes alternatives à l’expérimentation animale
Authors: Quesne Aloïse
Published: November 2023

Si le remplacement total de l’expérimentation animale était l’objectif visé par la directive européenne du 22 septembre 2010 relative à la protection des animaux utilisés à des fins scientifiques, force est de constater qu’il est encore loin d’être atteint. Le nombre d’animaux ne diminue pas et les méthodes alternatives peinent à être utilisées. La Commission européenne, sous la pression citoyenne, vient de prendre de nouveaux engagements pour définir les étapes et les actions spécifiques à mettre en place pour réduire l’expérimentation animale, condition préalable à la transition vers un système réglementaire sans animaux. Entre dysfonctionnements et manque de cohérence dans la politique européenne, la mobilisation des citoyens représente un levier indispensable à l’accélération de la mise en œuvre des méthodes alternatives.
Les méthodes alternatives à l’expérimentation animale, présent et futur
Authors: Marano Francelyne
Published: November 2023

Les méthodes alternatives à l’expérimentation animale sont utilisées en recherche fondamentale et clinique, pour la réalisation d’études à visée réglementaire et d’opérations de criblage en matière de développement de nouvelles molécules. Elles reposent sur des procédures de remplacement in vitro (modèles cellulaires) ou in silico (modèles mathématiques). Les méthodes alternatives ont été largement promues par la règle des 3R (Remplacer, Réduire, Raffiner) qui vise à encadrer l’expérimentation animale. Dans le domaine de la recherche, ces différentes méthodes sont des outils précieux qui permettent de mieux comprendre la physiologie des organismes et les mécanismes d’action des agents chimiques et physiques sur ces derniers.
Rôle des rythmes cérébraux dans la fonction mnésique du sommeil
Authors: Girardeau Gabrielle
Published: November 2023

Le sommeil est crucial pour le renforcement sélectif des souvenirs et la régulation des réseaux neuronaux impliqués dans la formation de la mémoire. Ces fonctions sont sous-tendues par des motifs neuraux spécifiques associés aux différentes phases du sommeil. Dans l’hippocampe, les complexes onde aiguë-ondulation du sommeil à ondes lentes sont associés à des réactivations de l’activité neuronale de l’éveil. En se coordonnant avec les ondes lentes et les fuseaux corticaux, ces réactivations contribuent à la consolidation de la mémoire spatiale. Les ondes lentes sont également un marqueur de l’homéostasie synaptique. La physiologie du sommeil paradoxal et des ondes thêta associées reste à explorer.
Immunité bactérienne : à la découverte d’un nouveau monde
Authors: Hardy Aël , Shomar Helena , Bernheim Aude
Published: November 2023

Les virus sont des parasites qui infectent tous les organismes vivants, et les bactéries n’y font pas exception. Pour se défendre contre leurs virus (les bactériophages ou phages), les bactéries se sont dotées d’un éventail de mécanismes élaborés, dont la découverte et la compréhension sont en pleine expansion. Dans les années 2000, seuls quelques systèmes de défense étaient connus et deux semblaient présents chez la plupart des bactéries. En 2018, une nouvelle méthode fondée sur l’analyse des génomes a révélé l’existence potentielle de nombreux autres. Plus de 150 nouveaux systèmes anti-phages ont été découverts au cours des cinq dernières années. On estime maintenant qu’il en existe probablement des milliers. Cette formidable diversité, qui est à mettre en parallèle avec la considérable diversité virale, s’exprime tant en termes de combinaisons de systèmes possibles dans les génomes bactériens que de mécanismes moléculaires. Une des observations les plus surprenantes qui émerge est la découverte de similarités entre certains systèmes de défense bactériens et des mécanismes antiviraux eucaryotes. Contrairement au paradigme jusqu’alors en place, des organismes aussi différents que des champignons, des plantes, des bactéries ou des êtres humains partagent certaines stratégies moléculaires pour combattre des infections virales, suggérant qu’une part sous-estimée de l’immunité antivirale eucaryote a directement évolué à partir des systèmes de défense bactériens.