bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Environmental Impact and Benefits of Incorporating Humus Composites in Anaerobic Co-Digestion Treatment
Authors: Zhao Ke , Wei Qiang , Bai Mingxuan , Shen Mengnan
Published: May 2024

This study evaluated the environmental impact and overall benefits of incorporating humus composites in the anaerobic co-digestion of kitchen waste and residual sludge. The life cycle assessment method was used to quantitatively analyze the environmental impact of the entire anaerobic co-digestion treatment process of waste, including garbage collection, transportation, and final product utilization. Moreover, the comprehensive assessment of the environmental impact, energy-saving and emission-reduction abilities, and economic cost of using humus composites in the anaerobic co-digestion treatment process was conducted using a benefit analysis method. The results showed that the anaerobic co-digestion of kitchen waste and residual sludge significantly contributed to the mitigation of global warming potential (GWP), reaching −19.76 kgCO2-eq, but had the least impact on the mitigation of acidification potential (AP), reaching −0.10 kgSO2-eq. In addition, the addition of humus composites significantly increased the production of biogas. At a concentration of 5 g/L, the biogas yield of the anaerobic co-digestion process was 70.76 m3, which increased by 50.62% compared with the blank group. This amount of biogas replaces ~50.52 kg of standard coal, reducing CO2 emissions by 13.74 kg compared with burning the same amount of standard coal. Therefore, the anaerobic co-digestion treatment of kitchen waste and residual sludge brings considerable environmental benefits.
Transformation and Degradation of PAH Mixture in Contaminated Sites: Clarifying Their Interactions with Native Soil Organisms
Authors: Li Xiaoyu , Zhang Shengnan , Guo Ruixue , Xiao Xuejing , Liu Boying , Mahmoud Rehab Khaled , Abukhadra Mostafa R. , Qu Ruijuan , Wang Zunyao
Published: May 2024

Soil contamination of polycyclic aromatic hydrocarbons (PAHs), especially caused by the mixture of two or more PAHs, raised great environmental concerns. However, research on the migration and transformation processes of PAHs in soils and their interactions with native communities is limited. In this work, soil samples from uncontaminated sites around the industrial parks in Handan, Hengshui, and Shanghai were artificially supplemented with three concentrations of anthracene (Ant), 9-chloroanthracene (9-ClAnt), benzopyrene (BaP), and chrysene (Chr). Ryegrass was planted to investigate the degradation of PAHs and its interaction with native soil organisms in the constructed ryegrass–microbe–soil microcosmic system. The bacterial and fungal communities in soil were affected by PAHs; their species diversity and relative abundance changed after exposure to different concentrations of PAHs, among which Lysobacter, Bacillus, Pseudomonas, and Massilia bacteria were correlated to the degradation of PAHs. On the 56th day, the contents of BaP, Chr, and Ant decreased with the degradation process, while the degradation of 9-ClAnt was limited. Nineteen intermediates, including hydroxylation and carboxylated compounds, were identified. The present research would help clarify the potential interactions between PAHs and native organisms in contaminated sites, providing fundamental information for evaluating the transformation risks of PAHs in the natural environment.
Anemia in Dogs with Acute Kidney Injury
Authors: Lippi Ilaria , Perondi Francesca , Ghiselli Giulia , Santini Sara , Habermaass Verena , Marchetti Veronica
Published: May 2024

Anemia is a well-known complication in CKD dogs, but its frequency in AKI dogs has been poorly investigated. The aim of the present study was to retrospectively evaluate frequency, degree of severity, and regeneration rate of anemia in relation to IRIS grade, etiology, therapy, and outcome. Medical records of dogs (2017–2023) with historical, laboratory, and ultrasound findings consistent with AKI were retrospectively reviewed. According to etiology, AKI was classified as ischemic/inflammatory (IS), infectious (INF), nephrotoxic (NEP), obstructive (OBS), and unknown (UK). AKI dogs were also classified according to therapeutical management (medical vs. hemodialysis), survival to discharge (survivors vs. non-survivors). Anemia was defined as HCT < 37% and classified as mild (HCT 30–37%), moderate (HCT 20–29%), severe (13–19%), or very severe (<13%). Anemia was classified as microcytic (MCV < 61 fL), normocytic (61 and 73 fL), and macrocytic (>73 fL). Anemia was considered hypochromic (MCHC< 32 g/dL), normochromic (32 and 38 g/dL), and hyperchromic (>38 g/dL). Regeneration rate was considered absent (RET ≤ 60,000/μL), mild 61,000–150,000/μL), and moderate (>150,000/μL). A total of 120 AKI dogs were included in the study, and anemia was found in 86/120 dogs (72%). The severity of anemia was mild in 32/86 dogs (37%), moderate in 40/86 dogs (47%), severe in 11/86 dogs (13%), and very severe in 3/86 (3%). Anemia was normochromic in 71/86 dogs (83%), hyperchromic in 12/86 dogs (14%), and hypochromic in 3/86 dogs (3%). Normocytic anemia was present in 56/86 dogs (65%), microcytic anemia in 27/86 dogs (31%), and macrocytic anemia in 3/86 dogs (4%). Non-regenerative anemia was found in 76/86 dogs (88%). The frequency of anemia increased significantly (p < 0.0001) with the progression of IRIS grade, although no significant difference in the severity of anemia was found among the IRIS grades. The frequency of non-regenerative forms of anemia was significantly higher than regenerative forms (p < 0.0001) in all IRIS grades. In our population of AKI dogs, anemia was a very frequent finding, in agreement with current findings in human nephrology.
Corneal Nerve Assessment by Aesthesiometry: History, Advancements, and Future Directions
Authors: Crabtree Jordan R. , Tannir Shadia , Tran Khoa , Boente Charline S. , Ali Asim , Borschel Gregory H.
Published: May 2024

The measurement of corneal sensation allows clinicians to assess the status of corneal innervation and serves as a crucial indicator of corneal disease and eye health. Many devices are available to assess corneal sensation, including the Cochet–Bonnet aesthesiometer, the Belmonte Aesthesiometer, the Swiss Liquid Jet Aesthesiometer, and the newly introduced Corneal Esthesiometer Brill. Increasing the clinical use of in vivo confocal microscopy and optical coherence tomography will allow for greater insight into the diagnosis, classification, and monitoring of ocular surface diseases such as neurotrophic keratopathy; however, formal esthesiometric measurement remains necessary to assess the functional status of corneal nerves. These aesthesiometers vary widely in their mode of corneal stimulus generation and their relative accessibility, precision, and ease of clinical use. The development of future devices to optimize these characteristics, as well as further comparative studies between device types should enable more accurate and precise diagnosis and treatment of corneal innervation deficits. The purpose of this narrative review is to describe the advancements in the use of aesthesiometers since their introduction to clinical practice, compare currently available devices for assessing corneal innervation and their relative limitations, and discuss how the assessment of corneal innervation is crucial to understanding and treating pathologies of the ocular surface.
Application of Oversampling Techniques for Enhanced Transverse Dispersion Coefficient Estimation Performance Using Machine Learning Regression
Authors: Lee Sunmi , Park Inhwan
Published: May 2024

The advection–dispersion equation has been widely used to analyze the intermediate field mixing of pollutants in natural streams. The dispersion coefficient, manipulating the dispersion term of the advection–dispersion equation, is a crucial parameter in predicting the transport distance and contaminated area in the water body. In this study, the transverse dispersion coefficient was estimated using machine learning regression methods applied to oversampled datasets. Previous research datasets used for this estimation were biased toward width-to-depth ratio (W/H) values ≤ 50, potentially leading to inaccuracies in estimating the transverse dispersion coefficient for datasets with W/H > 50. To address this issue, four oversampling techniques were employed to augment the dataset with W/H > 50, thereby mitigating the dataset’s imbalance. The estimation results obtained from data resampling with nonlinear regression method demonstrated improved prediction accuracy compared to the pre-oversampling results. Notably, the combination of adaptive synthetic sampling (ADASYN) and eXtreme Gradient Boosting regression (XGBoost) exhibited improved accuracy compared to other combinations of oversampling techniques and nonlinear regression methods. Through the combined ADASYN–XGBoost approach, it is possible to enhance the transverse dispersion coefficient estimation performance using only two variables, W/H and bed friction effects (U/U*), without adding channel sinuosity; this represents the effects of secondary currents.
Spatiotemporal Variations in Snow Cover on the Tibetan Plateau from 2003 to 2020
Authors: Pu Chaoxu , Zhou Shuaibo , Sun Peijun , Luo Yunchuan , Li Siyi , Sun Zhangli
Published: May 2024

The variations in snow cover on the Tibetan Plateau play a pivotal role in comprehending climate change patterns and governing hydrological processes within the region. This study leverages daily snow cover data and the NASA Digital Elevation Model (DEM) from 2003 to 2020 to analyze spatiotemporal snow cover days and assess their responsiveness to climatic shifts by integrating meteorological data. The results reveal significant spatial heterogeneity in snow cover across the Plateau, with a slight decreasing trend in annual average snow cover duration. Snow cover is predominantly observed during the spring and winter seasons, constituting approximately 32% of the total snow cover days annually. The onset and cessation of snow cover occur within a range of 120–220 days. Additionally, an increasing trend in snow cover duration below 5000 m altitude was observed, in addition to a decreasing trend above 5000 m altitude. Sub-basin analysis delineates the Tarim River Basin as exhibiting the lengthiest average annual snow cover duration of 83 days, while the Yellow River Basin records the shortest duration of 31 days. The decreasing trend in snow cover duration closely aligns with climate warming trends, characterized by a warming rate of 0.17 ± 0.54 °C per decade, coupled with a concurrent increase in precipitation at a rate of 3.09 ± 3.81 mm per year. Temperature exerts a more pronounced influence on annual snow cover duration variation compared to precipitation, as evidenced by a strong negative correlation (CC = −0.67). This study significantly augments the comprehension of hydrological cycle dynamics on the Tibetan Plateau, furnishing essential insights for informed decision-making in water resource management and ecological conservation efforts.
Soft vs. Hard Sustainability Approach in Marine Spatial Planning: Challenges and Solutions
Authors: Rezaei Fatemeh , Contestabile Pasquale , Vicinanza Diego , Azzellino Arianna , Weiss Carlos V. C. , Juanes José
Published: May 2024

Hitherto, over 50% of countries with marine waters have established MSPs or launched related legal actions. However, there are still conceptual and practical challenges to be overcome in the development of MSP. In this study, we investigate two main approaches in MSP (hard vs. soft sustainability) through reports, published manuscripts and meeting proceedings in seven pioneering countries (Belgium, Netherlands, Norway, Germany, United Kingdom, Australia, and Canada). We highlight the gaps, challenges, and solutions in each of these approaches. From our findings, there are four common challenges in both soft and hard sustainability approaches as follows: (i) the political framework and inconsistent support of MSP efforts, (ii) insufficient knowledge on social dimensions, (iii) insufficient stakeholder engagement in the diversity of stakeholder’s groups or in their contribution to the planning process from the initial steps, and (iv) finding a balance between environmental conservation and economic growth. We recommend that future studies should investigate how MSP can become more adaptive to long-term environmental and economic targets, how effective involving socioeconomic strata is in MSP, and how decision-making tools could help to cover the gaps in MSP. Furthermore, public forums are suggested to be developed to facilitate the systematic sharing of MSP experiences worldwide.
Research on Energy Loss of Optimization of Inducer–Impeller Axial Fit Dimensions Based on Wave-Piercing Theory
Authors: Yang Zhiqin , Cao Puyu , Zhang Jinfeng , Gao Shuyu , Song Xinyan , Zhu Rui
Published: May 2024

With the development of modern fluid machinery, the energy density of pumps is gradually being improved, and at the same time, higher demands are being placed on the cavitation performance, hence the introduction of the inducer and centrifugal impeller to form a dynamic–dynamic series structure. However, there are strict constraints on the axial size of pumps in fields such as firefighting and aerospace. The traditional empirical formula no longer satisfies the need to fit the axial dimensions between the induced wheel and the impeller at high velocities. Therefore, based on the wave-piercing theory, the drag reduction coefficient is introduced to explore the optimal axial fit size from the perspective of energy characteristics. This paper focuses on the influence of the inducer’s wake on the energy characteristics of downstream impellers, and conducts the following research: by adjusting the axial matching dimensions between the upstream inducer and the centrifugal impeller in the initial model, ten sets of axial distance models with matching dimensions of KD are designed, and the drag reduction coefficient is embedded to determine the optimal axial distance. The results show that the optimal axial distance is 0.2D, which is far lower than the axial distance value of 0.42D obtained from the traditional empirical formula for axial matching dimensions. Meanwhile, this paper uses tangential velocity, the inlet flow angle of the impeller, entropy production theory, and other indicators to analyze the internal energy loss of the high-speed vehicular fire pumps one by one. All of them confirm that the impeller in the high-speed vehicular fire pump has the lowest energy loss and optimal performance at an axial distance of 0.2D. Specifically, at this axial distance, the head can reach 259 m, and the hydraulic efficiency is as high as 83.62%. Thus, the feasibility of determining the axial placement of the impeller using the drag coefficient is validated. This research provides new insights into determining the axial coordination dimensions between the inducer and the impeller.
A Multi-Point Joint Prediction Model for High-Arch Dam Deformation Considering Spatial and Temporal Correlation
Authors: Cao Wenhan , Wen Zhiping , Feng Yanming , Zhang Shuai , Su Huaizhi
Published: May 2024

Deformation monitoring for mass concrete structures such as high-arch dams is crucial to their safe operation. However, structure deformations are influenced by many complex factors, and deformations at different positions tend to have spatiotemporal correlation and variability, increasing the difficulty of deformation monitoring. A novel deep learning-based monitoring model for high-arch dams considering multifactor influences and spatiotemporal data correlations is proposed in this paper. First, the measurement points are clustered to capture the spatial relationship. Successive multivariate mode decomposition is applied to extract the common mode components among the correlated points as spatial influencing factors. Second, the relationship between various factors and deformation components is extracted using factor screening. Finally, a deep learning prediction model is constructed with stacked components to obtain the final prediction. The model is validated based on practical engineering. In nearly one year of high-arch dam deformation prediction, the root mean square error is 0.344 and the R2 is 0.998, showing that the modules within the framework positively contribute to enhancing prediction performance. The prediction results of different measurement points as well as the comparison results with benchmark models show its superiority and generality, providing an advancing and practical approach for engineering structural health monitoring, particularly for high-arch dams.
A Multi-Sensor 3D Detection Method for Small Objects
Authors: Zhao Yuekun , Luo Suyun , Huang Xiaoci , Wei Dan
Published: May 2024

In response to the limited accuracy of current three-dimensional (3D) object detection algorithms for small objects, this paper presents a multi-sensor 3D small object detection method based on LiDAR and a camera. Firstly, the LiDAR point cloud is projected onto the image plane to obtain a depth image. Subsequently, we propose a cascaded image fusion module comprising multi-level pooling layers and multi-level convolution layers. This module extracts features from both the camera image and the depth image, addressing the issue of insufficient depth information in the image feature. Considering the non-uniform distribution characteristics of the LiDAR point cloud, we introduce a multi-scale voxel fusion module composed of three sets of VFE (voxel feature encoder) layers. This module partitions the point cloud into grids of different sizes to improve detection ability for small objects. Finally, the multi-level fused point features are associated with the corresponding scale’s initial voxel features to obtain the fused multi-scale voxel features, and the final detection results are obtained based on this feature. To evaluate the effectiveness of this method, experiments are conducted on the KITTI dataset, achieving a 3D AP (average precision) of 73.81% for the hard level of cars and 48.03% for the hard level of persons. The experimental results demonstrate that this method can effectively achieve 3D detection of small objects.
Effects of water temperature on growth of invasive Myriophyllum aquaticum species
Authors: Wang Nuoxi , Luo Chuyu , Wu Xiaodong , Chen Liang , Ge Xuguang , Huang Cheng , Lin Xiaowen , Zhu Shunmei
Published: May 2024

This study sought to investigate the invasive mechanism of Myriophyllum aquaticum by subjecting it to simulation experiments in varying water temperatures ranging from 0 °C to 30 °C. The results showed that water temperature considerably affected both the growth and reproduction of M. aquaticum. The optimal temperature range for the growth of M. aquaticum was 25‒30 °C. Although the growth of M. aquaticum was inhibited at temperatures between 0‒5 °C, this did not result in mortality. The stem nodes, branches, and diameter reached maximum values over a temperature range of 20‒25 °C. High-temperature stress at 30 °C led to a gradual decrease or disappearance of branches. Compared to the 0 °C, 5 °C, and 30 °C treatment groups, a temperature of 20 °C led to biomass accumulation and significantly higher values. M. aquaticum’s physiological activities were affected by temperature. Except for 10 °C and 15 °C, the catalase activity varied among different water temperatures. M. aquaticum catalase activity was maximal at 5 °C and minimal at 25 °C. Conversely, the synthesis of photosynthetic pigments was highest at 10 °C and 15 °C. The plant’s optimal temperature for growth was between 20 °C and 25 °C. When the temperature was <10 °C, M. aquaticum adapted to the water temperature’s potential damage. This plant has a notable ability to tolerate various temperatures.
Transformasi Fungsi Penutup Kepala Berbahan Kain sebagai Media Identifikasi Identitas Masyarakat dalam Aktivitas Seni Pertunjukan di Malang Raya
Authors: Hidajat Robby , Pujiyanto Pujiyanto , Wahyuningtyas Tri , Hasyimy Muhammad Afaf
Published: May 2024

This article explains the transformation of the function of cloth head coverings to identify people's identities in performing arts activities in Malang Raya. These cloth head coverings have types, shapes and techniques for wearing them, as well as meanings that determine the ethics of their use. This complexity is to be able to reveal the transformation of its use function in the artistic activity environment. Because the use of cloth head coverings has never been used to identify the social identity of people in greater Malang. This is the aim of this research, namely to reveal and explain the function of cloth head coverings used in artistic activities. The research method used is descriptive qualitative with data collection techniques in the form of interviews with key informants who are competent in the field of performing arts, observing the activities of wearing cloth head coverings used by the community in arts activities, and reviewing documents, in the form of pictures, photos or reliefs on temples. -temple. Data analysis uses the theory of continuity and change, symbolic interactional, and functional structure. The research results found two important factors that can indicate the social identity of the people of Malang Raya as follows: (1) Social status, (2) Symbolic, (3) and Spiritual.
Analisis Halal Supply Chain Management Produk Kosmetik Halal Terhadap Tingkat Kepuasan Generasi Milenial di Kabupaten Deli Serdang
Authors: Sagala Indah Cahya , Rahman Fauziah , Dewi Sucitra
Published: May 2024

This research aims to determine the influence of halal supply chain management for halal cosmetic products on millennial generation consumer satisfaction in Deli Serdang Regency. The type of research used is quantitative associative which aims to determine the influence between the independent variable and the dependent variable. The type of data used is primary data in the form of a questionnaire distributed via social media. The population in this study is the entire millennial generation who use halal cosmetic products in Deli Serdang Regency. The location for Deli Serdang Regency was chosen because Deli Serdang is the regency with the largest population of the millennial generation and Muslims in Sumatera Utara Province. Sampling was determined based on Malhotra's theory so that a total sample of 160 samples was obtained. The results of this research state that halal supply chain management has a positive and significant effect on millennial generation consumer satisfaction in Deli Serdang . With this research, it is hoped that cosmetic companies or manufacturers can pay more attention to the halalness of a product, from ingredients, manufacture to distribution of cosmetics to consumers while still using Islamic provisions or in accordance with sharia.
Determinan Pengelolaan Keuangan pada Usaha Mikro Kecil dan Menengah di Kota Langsa
Authors: Prayuda Muhammad Alif , Salman Muhammad , Lubis Nasrul Kahfi
Published: May 2024

This article aims to analyze the influence of information technology, business experience, and competence on financial management in Micro, Small, and Medium Enterprises (MSMEs) in Langsa City. A total of 30 respondents, who are MSME entrepreneurs on Teuku Umar Street in Langsa City, were selected as the research sample. The data were analyzed using multiple linear regression, t-test, F-test, and the coefficient of determination. The research results yielded the following regression equation: Y = 0.888 + 0.318X1 + 0.272 X2 + 0.274 X3. The findings indicate that when information technology, business experience, and competence are considered constant, financial management reaches a value of 0.888. Furthermore, all three independent variables collectively have a significant positive impact on financial management, with an Adjusted R Square value of 0.713. This means that approximately 71.3% of the variation in financial management is explained by the tested variables: information technology, business experience, and competence, while about 28.7% is attributed to other factors not covered in this article. The results of partial hypothesis testing indicate that information technology, business experience, and competence individually have a significant influence on the financial management of MSMEs in Langsa City. The F-test also suggests that all three variables simultaneously have a significant impact on the financial management of MSMEs in Langsa City.
Efektivitas Fungsi Komisi Pemilihan Umum Kabupaten Bengkulu Utara dalam Sosialisasi Pemilihan Bupati dan Wakil Tahun 2020
Authors: Jayanti Hevi Dwi , Zetra Aidinil , Asrinaldi Asrinaldi
Published: May 2024

This article aims to describe the process of implementing door to door socialization carried out by the General Election Commission of North Bengkulu Regency for voters in the midst of Covid-19 conditions and to determine the effectiveness of door to door socialization carried out by the General Election Commission of Bengkulu Regency as a form of effectiveness of the institution's function in socialization in pandemic period. The problem focuses on the effectiveness of the KPU's function in socializing the election of Regent and Deputy in North Bengkulu Regency. In order to approach this problem, Christopher C Hood's reference theory is used. Data was collected through interviews and documentation methods and analyzed qualitatively. This study concludes that during the implementation of socialization carried out by the North Bengkulu Regency KPU through four categories of tools that influence the effectiveness of institutional functions, they were only effective in participation tools, while the other three tools such as regulations, incentives and law enforcement showed ineffective results. The implementation of door to door outreach, which was used as a new media, apparently did not produce effective results. This can also be seen from resource capacity factors related to system culture and accountability factors related to implementing reports which also show ineffective results. However, the North Bengkulu Regency KPU has tried its best to carry out socialization regarding the 2020 Regent and Deputy Regent elections.
Implementasi Program Anti-dowry UN Women dalam Upayanya Mengatasi Permasalahan Dowry Death, India (2016-2021)
Authors: Octaviani Syva , Azizah Nur
Published: May 2024

This article focuses on the anti-dowry program efforts carried out by UN Women in an effort to overcome the dowry problem in India. There are many cases of requests for dowry by grooms that are misused, causing women in India to experience discrimination and many deaths due to dowry or so-called dowry deaths. Therefore, United Nation Women as a UN entity that focuses on gender equality takes a role in contributing to dealing with dowry problems. This article aims to find out how international efforts, especially UN Women and the Non-Governmental Organization Corporation and Assistance for Relief Everywhere (CARE), have implemented the anti-dowry program which has been implemented since 2016-202 with a program focus in the fields of advocacy, education, economy and health. In order to approach this problem, the theory of feminism, the concept of human rights (HAM), and international organizations are used. This research was written using a qualitative descriptive method with secondary data source collection techniques using document analysis and library research. This study concludes that the anti-dowry program implemented can influence the reduction in the rate of gender discrimination and the number of deaths due to dowry in India.
Copper(II)-Based Nano-Regulator Correlates Cuproptosis Burst and Sequential Immunogenic Cell Death for Synergistic Cancer Immunotherapy
Authors: Luo Yingli , Luo Xianyu , Ru Yi , Zhou Xinru , Liu Didi , Huang Qian , Linghu Maoyuan , Wu Yuhang , Lv Zicheng , Chen Meimei , Ma Yinchu , Huang Yi , Wang Jilong
Published: May 2024

Immunogenic cell death (ICD) of tumor cells serves as a crucial initial signal in the activation of anti-tumor immune responses, holding marked promise in the field of tumor immunotherapy. However, low immunogenicity tumors pose challenges in achieving complete induction of ICD, thereby limiting the response rates of immunotherapy in clinical patients. The emergence of cuproptosis as a new form of regulated cell death has presented a promising strategy for enhanced immunotherapy of low immunogenic tumors. To trigger cuproptosis, copper-ionophore elesclomol (ES) had to be employed for the copper-transporting-mediated process. Herein, we proposed a copper(II)-based metal-organic framework nanoplatform (Cu-MOF) to facilitate a cooperative delivery of encapsulated ES and copper (ES-Cu-MOF) to induce cuproptosis burst and enhance ICD of fibrosarcoma. Our results showed that the ES-Cu-MOF nano-regulator could effectively release Cu
2+
and ES in response to the intracellular environment, resulting in elevated mitochondrial ROS generation and initiated cuproptosis of tumor cells. Furthermore, sequential ICDs were significantly triggered via the ES-Cu-MOF nano-regulator to activate the anti-tumor immune response. The results of tumor inhibition experiment indicated that the nano-regulator of ES-Cu-MOF obviously accumulated in the tumor site, inducing ICD for dendritic cell activation. This enabled an increased infiltration of cytotoxic CD8
+
T cells and consequently enhanced antitumor immune responses for successfully suppressing fibrosarcoma growth. Thus, the copper(II)-based metal-organic framework nano-regulator offered a promising approach for inducing cuproptosis and cuproptosis-stimulated ICD for cancer immunotherapy.
A Multifunctional Nanocatalytic Metal-Organic Framework as a Ferroptosis Amplifier for Mild Hyperthermia Photothermal Therapy
Authors: Deng Ying , Wang Duo , Zhao Wenhua , Qiu Guanhua , Zhu Xiaoqi , Wang Qin , Qin Tian , Tang Jiali , Jiang Jinghang , Lin Ningjing , Wei Lili , Liu Yichen , Xie Yuan , Chen Jie , Deng Liu , Liu Junjie
Published: May 2024

Hyperthermia therapy is considered an effective anticancer strategy. However, high temperature can trigger an excessive inflammatory response, leading to tumor self-protection, immunosuppression, metastasis, and recurrence. To address this issue, we reported a multifunctional photothermal nanoplatform to achieve mild hyperthermia photothermal therapy (mild PTT) based on cisplatin (DDP) and a ferrocene metal-organic framework (MOF-Fc) nanocomposite, which can specifically enhance ferroptosis-triggered oxidative stress levels and synchronously amplify mild hyperthermia PTT-mediated anticancer responses. Both in vitro and in vivo antineoplastic results verify the superiority of mild PTT with DDP/MOF-Fc@HA. The combination of DDP and MOF-Fc exhibits Fenton catalytic activity and glutathione depletion capacity, magnifying mild hyperthermia effects via the radical oxygen species (ROS)-adenosine triphosphate (ATP)-HSP silencing pathway, with important implications for clinical hyperthermia therapy.
Utilization of Micro Influencers and Engagement in Social Media to Gain Cadet Candidates
Authors: Djajasasana Egbert Edward , Bokau Joe Ronald K.
Published: May 2024

Since COVID-19 hit the world, Shipping Colleges and schools around the world have experienced severe disruption. One of the challenges that arises is how to attract people back to register themselves as seafarers as a career choice in the future. To solve this problem, Poltekpel Barombong conducts comprehensive activities by mobilizing public relations and utilizing social media platforms such as Instagram. This research is participatory with qualitative descriptive methods. The subjects used were 226 prospective cadets who were declared to have passed the selection for cadet candidates at the Poltekpel Barombong throughout 2022. The results showed that the use of social media is very good to be implemented in the future with various things that must be maximized: 1) there needs to be continuous cooperation with influencers; 2) development in the presentation of content in accordance with the times; 3) investment in much more up-to-date equipment with competent resources to operate it. The use of social media in socializing the selection of prospective cadets has various advantages such as relatively cheap costs, but there are also various disadvantages including not reaching underdeveloped, frontier and outermost areas.
Influence of Type and Dose of Coagulants on Vehicle Wash Wastewater
Authors: Sapta Dewi Yusriani
Published: May 2024

The study was conducted to investigate the effect of the type and dosage of coagulant on changes in phosphate and fatty oil levels in liquid waste from motor vehicle wash. The independent variables in this study were the type of coagulant (Al2(SO4)3 and FeCl3) and the dosage of coagulant (0 ml, 3 ml, 5 ml, and 7 ml), while the dependent variables were the content of phosphate and fatty oil. The experiment was conducted in 3 stages; fast stirring, slow stirring, and precipitation. From the preliminary test, it was found that the phosphate content before processing was 12.9 mg/lt and the content of fatty oil was 1.9 mg/lt. The most significant decrease in phosphate content was found when 7 ml of FeCl3 was used as coagulant; it dropped to 0.11 mg/lt (efficiency: 99.2%). Meanwhile, the most effective coagulant for fatty oil was 3 ml of Al2(SO4)3; the fatty oil content dropped to 1.4 mg/lt (efficiency: 30.7%). The addition of Al2(SO4)3 gave the opposite effect on phosphate and fatty oil, making the process ineffective. Meanwhile, the data showed that FeCl3 could be used as an effective coagulant for phosphate and fatty oil. To determine the significance of the differences between the results of the Randomized Complete Block Design analysis, the researcher used Least Significant Design test. The results showed that the variation of the type of coagulant affected the decrease in phosphate and fatty oil levels, while the variation in dosage gave no significant difference.
Factors Influencing the Effectiveness of Information System Governance in Higher Education Institutions (HEIs) through a Partial Least Squares Structural Equation Modeling (PLS-SEM) Approach
Authors: Ramayah Tarisya
Published: May 2024

This research aims to investigate the factors that influence the effectiveness of Information Systems (IS) Governance in Higher Education Institutions (IPT) using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The background of this research reflects the importance of IS in supporting operations, management and decision making in a higher education environment that is increasingly complex and dependent on technology.The PLS-SEM method analyzes the relationship between key variables that influence the effectiveness of IS governance at IPT. It is a powerful multivariate statistical approach that allows factor analysis and regression in a single framework, allowing researchers to holistically understand how factors relate to each other. The results of this research will likely provide valuable insight for decision-makers at IPT in improving IS management and utilization. Practical implications include the development of more effective policies, better management strategies, and improved IS infrastructure. In addition, this research is also expected to provide an essential contribution to academic literature in understanding the factors that influence the effectiveness of IS governance in the higher education context. By better understanding the factors that influence the effectiveness of IS governance, IPT can increase its competitiveness, improve the quality of educational services, and support the achievement of its strategic goals. This research is expected to significantly contribute to understanding how IS governance can be implemented and managed more effectively in higher education environments through the PLS-SEM approach.
Economic Preneur's Innovative Strategy in Facing the Economic Crisis
Authors: Shino Yamato , Utami Fransisca , Sukmaningsih Sekar
Published: May 2024

The global economic crisis has placed significant pressure on Economic Preneurs, compelling them to adopt innovative strategies to sustain their businesses amidst challenges. This research delves into the myriad of innovative strategies employed by Economic Preneurs to effectively navigate economic downturns. Utilizing a qualitative research methodology, the study conducts in-depth interviews with fifty Economic Preneurs spanning various industries. The findings shed light on the effectiveness of several strategies, including digital transformation, diversification of service offerings, and a heightened emphasis on customer value optimization. Through these strategies, Economic Preneurs strive to adapt to changing market conditions and customer preferences, ensuring the resilience and viability of their enterprises. Ultimately, it is observed that Economic Preneurs who demonstrate agility and innovation in response to economic challenges are more likely to not only weather financial adversities but also thrive and expand their enterprises. This study contributes to the existing body of literature by offering empirical evidence on resilience tactics utilized during economic crises and provides practical insights for business leaders and policymakers. These insights can inform the creation of conducive environments that foster entrepreneurial innovation and promote economic sustainability in the face of adversity.
Integrating Artificial Intelligence and Environmental Science for Sustainable Urban Planning
Authors: Anwar Muhammad Rehan , Sakti Lintang Dwi
Published: May 2024

The rapid urbanization of modern cities presents significant challenges in sustainable development. To address these challenges, there is a growing integration of Artificial Intelligence (AI) and Environmental Science to enhance urban planning processes. This research aims to assess the impact and utility of AI techniques within the framework of Geographic Information Systems (GIS) for sustainable urban planning. Specifically, it investigates how AI-enhanced GIS tools can be employed to improve urban development strategies and enhance sustainability assessments. Employing Spatial Analysis with GIS, this study analyzes data on land use, population density, and environmental indicators across several metropolitan areas. The methodology incorporates machine learning algorithms to predict and simulate urban growth patterns, enabling the assessment of various urban planning scenarios. The findings reveal that AI-enhanced GIS tools significantly improve the precision of development forecasts and sustainability assessments. These tools facilitate more informed decision-making in urban planning by enabling precise predictions about urban expansion and its environmental impacts. The integration of AI with environmental science not only enhances the efficiency of urban planning processes but also contributes to the resilience and sustainability of urban environments. The study provides urban planners and policymakers with advanced tools to forecast and mitigate the environmental impacts of urbanization, thereby setting a benchmark for future studies in the realm of sustainable urban planning. This research demonstrates the practical application of AI in enhancing the capabilities of GIS for complex spatial analyses, contributing significantly to the field of urban planning.
LITERATURE REVIEW TERAPI BERMAIN PUZZLE TERHADAP PERKEMBANGAN MOTORIK HALUS PADA ANAK PRASEKOLAH
Authors: Aryanti  , Sari Yona , Fatrin Tiara , Aprianto  , Novita Sari Muthiah
Published: May 2024

Anak prasekolah adalah anak yang berusia 3-6 tahun dimana usia ini merupakan  usia emas (golden age) yang harus distimulasi perkembangannya salah satunya adalah perkembangan motorik. Data WHO tahun 2009 mengatakan bahwa 5-25% anak prasekolah di dunia mengalami gangguan motorik halus. Data UNICEF Tahun 2011 juga mengatakan 27,5% atau 3 juta anak  di dunia mengalami keterlambatan motorik halus. Kemampuan motorik dapat dikembangkan dengan bermain yang berhubungan dengan keterampilan fisik yang juga melibatkan otot kecil serta koordinasi mata dan tangan salah satunya bermain puzzle. Penelitian ini bertujuan untuk mengetahui pengaruh terapi bermain puzzle terhadap perkembangan motorik halus pada anak prasekolah. Penelitian ini menggunakan studi literature dengan menganalisis terhadap hasil penelusuran jurnal (e-journal) dan artikel dengan tinjauan teori yang ada (e-book), jurnal yang telah di review sebanyak 9 jurnal Nasional. Literature review menunjukan persamaan hasil dari 9 jurnal yang di review, bahwa bermain puzzle dapat memberikan pengaruh terhadap perkembangan motorik halus pada anak prasekolah. Memberikan stimulasi seperti bermain puzzle kepada anak dapat meningkatkan kemampuan motorik halus pada anak sehingga dapat mengurangi angka kejadian anak dengan keterlambatan perkembangan motorik halus.
Kata Kunci      : Puzzle, Motorik Halus, Prasekolah
PENGARUH PEMBERIAN AROMATERAPI LAVENDER TERHADAP TINGKAT KECEMASAN IBU BERSALIN KALA I DI PMB HJ. ZURRAHMI, SST, SKM PEKANBARU
Authors: Nurhayati Sindi , Nadia Fatma , Sari Tanberika Fajar
Published: May 2024

Selama persalinan  kala I, seorang wanita akan mengalami gangguan psikologi yaitu kecemasan. Di Indonesia tahun 2020 terdapat 373.000.000 orang ibu hamil, yang mengalami kecemasan dalam menghadapi persalinan ada sebanyak 107.000.000 orang (28,7%). Salah satu cara untuk mengurangi kecemasan yaitu dengan terapi non farmakologi menggunakan aromaterapi lavender, penggunaannya dengan cara inhalasi menggunakan diffuser. Tujuan penelitian untuk mengetahui pengaruh pemberian aromaterapi lavender terhadap tingkat kecemasan ibu bersalin kala I di PMB Hj. Zurrahmi, SST, SKM Pekanbaru yang dilaksanakan pada Februari – Oktober 2023. Jenis penelitian Kuantitatif dengan rancangan Pre Experiment, dengan one group pre test and post test design. Populasi penelitian ibu bersalin di PMB Hj. Zurrahmi, SST, SKM : dengan sampel 15 responden secara purpossive sampling. Instrumen penelitian menggunakan lembar observasi Hamilton Axiety Rating Scale (HARS). Analisis data dengan Wilcoxon Signed Ranks Test. Hasil penelitian sebelum diberikan aromaterapi lavender mayoritas responden mengalami kecemasan sedang (73,3%), sesudah diberikan mayoritas kecemasan ringan (80,0%). Terdapat pengaruh pemberian aromaterapi lavender dengan P-Value 0,000<0,05. Diharapkan kepada PMB Hj. Zurrahmi SST, SKM dapat menggunakan aromaterapi lavender sebagai alternatif mengurangi kecemasan pada ibu bersalin.
Digital maturity model for continuous improvement
Authors: Fernandez-Perez Vladimir Damian , Fernandez-Gómez Tomas , Ramirez-Rodriguez Ramón Rodolfo , Fernandez-Perez Mitzy E.
Published: May 2024

The present research work presents the development and implementation of a Digital Maturation Model (MMD) designed and adapted to the Institute of Higher Education, Establishing the degree of Digital Maturity present in the Institute of Higher Education located in Orizaba, through the development and application of a Digital Maturity Model. Outlining strategic planning oriented to the analysis necessary to generate improvement proposals through the use of digital technologies, increasing efficiency and competitiveness, improving the service offered. The present research will take a quantitative methodology through a longitudinal study with the intention of obtaining a before and after, through a quantifiable approach, obtaining the evaluation of the Digital Maturity Index and the detection of areas of opportunity for the proposal of improvements.
A didactic prototype for regulating the speed of a DC motor by sliding mode control
Authors: García-Pérez Daniel , Garrido-Meléndez Javier , Revuelta-Acosta Josept David , Conde-Gutiérrez Roberto Agustín
Published: May 2024

The objective of the didactic prototype is to regulate the speed of a Direct Current (DC) motor using a sliding mode control (SMC), a robust control suitable for engineering students. The methodology used to calculate the CMD to a DC motor is presented, as well as its simulation using MATLAB/Simulink software and the construction of a prototype to apply the control law in real-time with the help of LabVIEW software.
Analysis of learning styles in first semester students at the UACyA UAN: an exploration based on the VARK Model
Authors: Valle-Escobedo Rocío Mabeline , García-Gómez Laura Esther , Castañeda-Ibarra Raquel , Barajas-Rivera Juan Marcos
Published: May 2024

This article analyzes the predominant learning styles in first semester students at the UACyA UAN, which classifies the styles as visual, auditory, reader-writer and kinesthetic. This approach provides a solid foundation for understanding individual learning preferences. The objective is to analyze and understand the predominant styles through a statistical analysis of the results, examining preference patterns and their correlation with academic performance and adaptation to the university environment. Pedagogical implications are explored to design personalized educational interventions that fit the most common learning styles. The results highlight the diversity of learning styles, providing valuable information to improve content delivery and the educational experience. This approach based on the VARK model offers a comprehensive perspective on learning preferences, promoting a more inclusive and effective pedagogy in university education.
Artificial Connections: Finding the Architect’s Role in Text-to-Image Tectonics
Authors:   Kent State University, Safley Nick
Published: May 2024

Architects create images and representations of buildings to communicate construction and fabrication information. Construction necessitates utilizing mediating technologies to compress and communicate design information about material organization across space and time.1 Successful architectural design images embed material and construction knowledge needed to translate an idea into material. Whether joint lines in hand-drafted elevations imagining stone blocks or walls in a Revit model with embedded construction layers, the images architects produce for building require knowledge of complex material construction cultures and an idea of construction’s aesthetic implication. Images of this sort maintain the professional and disciplinary position of the architect as an organizer of the materials, processes, and labor needed to actualize building in the contingencies of the physical world. Artificial intelligence, especially text-to-image generation platforms, enables the rapid creation of images depicting forms, scenes, and objects with an unprecedented speed and a no-table absence of embedded knowledge from the architect. The rapidly emerging capacity of AI posits a unique and changing role for the architect in the design and construction process. AI allows anyone to generate compelling images with high resolution and photorealism. However, current AI-generated images lack embedded knowledge related to construction, often featuring illogical or impractical material connections or assemblies. This project researches how architects can execute material connections as depicted by undisciplined artificial intelligence and explores how apparent failures or errors in AI-generated material connections can challenge and expand the tectonic boundaries of architectural thinking.