bluuebunny/crossref_metadata_2025 huggingface dataset:
Flood Hazard Zonation Using Gis-based Multi-parametric Analytical Hierarchy Process
Authors: Ahmed Istak , (Pan) Nibedita Das , Debnath Jatan , Bhowmik Moujuri , Bhattacharjee Shaswati
Published: June 2023

Flood is considered to be a serious environmental hazard, owing to its devastating consequence on human life. Tripura, a small state of northeast India has faced large scale flood events over the last few decades. The present study is an attempt to identify flood hazard zones along the lower course of the Dhalai River flowing through the Dhalai district of Tripura. An integrated approach of remote sensing and GIS coupled together with Analytical Hierarchy Process (AHP) was applied to identify the flood hazard zones of the study area and nine parameters were selected for this purpose. Thematic maps of the parameters were reclassified after assigning ranks to different classes. A pair-wise comparison matrix among all the parameters was prepared using AHP to determine the relative weight of each parameter. Finally, flood hazard zonation map of the study area was prepared using raster calculator of Arc GIS 10.1. The results revealed that 109.69 km2 (27.65%) of the study area fall under low flood risk category. At the same time, around 114.46 km2 (28.85%) and 90.43 km2 (22.80%) areas fall under moderate and high flood risk zone respectively. The study also disclosed that the high risk zone has maximum concentration of agricultural land (68.63%) and settled area (9.77%) in comparison to the other two zones which has increased vulnerability of flood hazard. The information derived from the present study could be very much effective for the planners to prepare proper strategies to reduce the vulnerability of flood hazard in the study area.
Source effects determine hydrochorous seed dispersal of ancient forest plants
Authors: Boedeltje Ger , Lenssen John P.M. , Braak Cajo J.F. , Zuidam Bastiaan
Published: June 2023

Plant species of ancient forests tend to be poor dispersers, although field studies suggest that dispersal may be strongly accelerated in streams. To further test this idea we addressed the following two questions: 1) which traits facilitate transport and deposition of seeds by streams? 2) do ancient forest species differ from other forest species with respect to these traits? In the BovenSlinge, a forested lowland stream in the Netherlands we measured water transport and deposition and analysed which traits best explained this. We subsequently compared ancient forest species with other forest species with respect to these key traits. Our field measurements indicated that stream dispersal is strongly determined by both source related traits, i.e. upstream population size, seed production and seed release period and the path related variables buoyancy and seed weight. These traits seemed to affect transport and deposition similarly, but seed mass had a much stronger, negative impact on deposition. Ancient forest species do not differ with respect to seed release period, buoyancy and seed mass, but at a given plant height, ancient forest species produce less seeds than other forest species. This may reflect an adaptation to their relatively stable habitat which comes at the expense of (stream) dispersal capacity. In conclusion, ancient forest plants are just as well equipped for stream dispersal as other forest species, but success will critically depend on upstream population size, given their low per plant seed production.
Investigating the Effectiveness of Interpretable Cost-Sensitive Neural Network for Pneumonia Detection Contemplating Data Imbalance
Authors: Maliyat Ramisa , Sultana Fatema , Sultana Sadia , Joy Sajib Kumar Saha , Shawon Md Tanvir Rouf
Published: June 2023

Pneumonia is a bacterial or viral respiratory ailment that affects a lot of people, especially in impoverished and newly industrialized countries due to pollution, unclean living conditions, and overcrowding. The objective of this research focuses on developing an automated approach for correctly identifying pneumonia from X-rays of the chest images in order to decrease the time needed for manual evaluation. In the study, two imbalanced datasets—the Corona Hack Chest X-Ray dataset and the Chest X-ray Images dataset—were selected. Using the transfer learning models ResNet50, VGG16, and Inception Net, pneumonia has been effectively identified in chest X-ray images. These models help with the classification issues related to locating irregularities connected to pneumonia and classifying those X-rays into two distinct categories based on detection outcomes. In the Chest X-Ray Images dataset, Inceptionv3 achieved the highest accuracy of 97.43%, followed by VGG16 with 96.57% and ResNet50 had an accuracy of 96.40%. However, in the Corona Hack Chest X-Ray dataset, ResNet50 achieved the highest accuracy of 93.91%, followed by Inception-v3 with 91.04% and VGG16 with 90.03%. Notably, these models were created to recognize and divide into two groups of anomalies in chest X-rays related to pneumonia. For imbalanced chest X-ray image datasets, a cost-sensitive neural network outperformed ResNet50, VGG16, and Inception-v3 by 1%, 2%, and 0.51%, respectively. However, the cost-sensitive neural network performed best for the Corona Hack Chest X-Ray dataset, outperforming the standard VGG16 and Inception-v3 models by 3% and 1%, respectively.
Axial length analysis in patients with retinal detachment in New Zealand
Authors: Jirapanyayut Patchara , de Ribot Francesc March , Goh Jerry , de Ribot Anna March
Published: June 2023

Purpose:
The aim of the study is to analyse the axial length (AL) in patients with rhegmatogenous retinal detachment (RRD) in Dunedin Public Hospital (New Zealand).
Method:
Retrospective analysis was performed on the records of 105 patients who underwent retinal surgery with pars plana vitrectomy (PPV) in Dunedin Public Hospital between 1 January 2020 and 1 January 2022. AL was collected with a Zeiss IOL Master500. Data was compared to matched control groups: Dunedin patients requiring cataract surgery, a previous study of healthy individuals from Dunedin (Dunedin Multidisciplinary Health & Development Study) and an Auckland control group comprising of two publications of patients in Auckland undergoing cataract surgery.
Results:
Total data of 108 eyes of 105 patients, of which 42 were female and 63 were male, with an average age of 63.25 ± 16.40 years (mean ± SD), was included in this study. The mean AL of the patients was 24.30 ± 0.33mm compared to the control group of 23.48 ± 0.06mm. The difference in AL between RRD patients and the Auckland control group was 0.82 ± 0.23mm, p < 0.0001. The difference in AL between the RRD and the Dunedin Cataract surgery group was 0.75 ± 0.29, p < 0.0001. The difference between male and female mean AL was 0.75 ± 0.67mm, p < 0.0285.
Conclusion:
Patients with RRD have been shown to have a greater AL when compared to those without, with a difference of 0.82 ± 0.23mm representing approximately 2.2 diopters. Men have a greater mean AL when compared to women, with a difference of 0.75 ± 0.67mm, p < 0.0285 representing approximately 2.0 diopters.
CFDepthNet: Monocular Depth Estimation Introducing Coordinate Attention and Texture Features
Authors: Wei Feng , Zhu Jie , Wang HuiBin , Shen Jie
Published: June 2023

Handling the depth estimation of low-texture regions using photometric error loss is a challenge due to the difficulty of achieving convergence due to the presence of multiple local minima for pixels in low-texture regions (or even no-texture regions). In this paper, based on the photometric loss, we also introduce texture feature metric loss as a constraint and combine the coordinate attention mechanism to improve the depth map's texture quality and edge detail. This paper uses a simple yet compact network structure, a unique loss function, and a relatively flexible embedded attention module, which is more effective and easier to arrange in robotic platforms with weak arithmetic power. The tests show that our network structure not only shows high quality and state-of-the-art results on the KITTI dataset, but the same training results also perform well on the cityscapes and Make3D datasets.
Increase in serum vimentin levels in patients with glioma and its correlation with prognosis of patients with glioblastoma
Authors: Saito Taiichi , Muragaki Yoshihiro , Komori Asuka , Nitta Masayuki , Tsuzuki Shunsuke , Koriyama Shunichi , Ro Bunto , Kawamata Takakazu
Published: June 2023

Early diagnosis of glioma is of great value to improve prognosis. We focused on serum vimentin levels as a useful biomarker for preoperative diagnosis. The aim of this study was to determine whether serum vimentin levels in patients with glioma are significantly higher than those of healthy adult volunteer and whether the serum vimentin level is associated with overall survival (OS) in patients with glioblastoma (GBM). This study included 52 consecutive patients with newly diagnosed glioma and a control group of 13 healthy adult volunteers. We measured serum vimentin levels in blood samples obtained from patients with glioma preoperatively and a control group. Furthermore, we investigated the correlation between serum vimentin levels and OS in patients with GBM. The serum vimentin levels of patients with glioma were significantly higher than those of the control group. The serum vimentin level of 2.9 ng/ml as the optimal value for differentiating patients with glioma from control group with sensitivity of 92.3% and specificity of 88.5%. The serum vimentin levels correlated significantly with immunoreactivity for survivin. In 27 patients with GBM, serum vimentin levels (cutoff value, median value 53.3 ng/ml) correlated with OS in univariate and multivariate analyses. Our study revealed that serum vimentin levels of patients with glioma are significantly higher than those of control group. Therefore, we believe that serum vimentin level might be a useful and practical biomarker for preoperative diagnosis of glioma. Furthermore, high serum vimentin levels correlated significantly with shorter OS in patients with GBM.
Thermal Degradation of Piperazine in Sulfolane Aqueous Solution in CO 2 Capture Process
Authors: Zamani Mousa , Shokouhi Mohammad , Fatoorehchi Hooman , Vahidi Mehdi
Published: June 2023

Thermal degradation of piperazine (PZ) in aqueous and mixed sulfolane (SFL) (30% by weight) + H2O solution as a hybrid context was investigated as a function of temperature and two levels of piperazine concentrations and two levels of carbon dioxide loadings. Degradation of PZ in aqueous solution has been found to be first order. The pseudo rate constants for 5%wt solution of piperazine at 145, 160 and 175°C in aqueous solution are 2.24 ×10− 9, 1.09 ×10− 8 and 2.27 × 10− 7 and in the hybrid media are 3.56 × 10− 8, 7.67 × 10− 8 and 1.19 × 10− 7 per second, respectively, and the activation energies for the aqueous and hybrid media were estimated 238.71 and 62.77 kJ/mole respectively. Considering the most abundant degradation products identified; 3-(hydroxyethyl)-2-oxazolidone (HEOD), N,N-bis-(2-hydroxyethyl)-piperazine (BHEP), N,N’,N-tris-(hydroxyethyl) ethylenediamine (THEED), 1-[2-[(2-Aminoethyl) amino] ethyl] piperazine (AEAEPZ) and 1-Methylpiperazine (1-MPZ), the degradation pathway of PZ in both media is expected to proceed through ring opening of protonated PZ with the attack of other piperazine molecules on its alpha carbon. The presence of SFL only accelerates the reactions without changing the degradation mechanism.
PD-L1 blockade improves survival in sepsis by reversing monocyte dysfunction and immune disorder
Authors: Yang Li , Gao Qian , Li Qiu-Jing , Guo Shu-Bin
Published: June 2023

Objective: Monocyte dysfunction is critical to sepsis-induced immunosuppression. Programmed death ligand-1 (PD-L1) has shown a close relationship with inflammatory disorder among animal models and patients. We aimed to investigate the potential beneficial immunologic mechanisms of anti-PD-L1 on monocyte dysfunction of mice with sepsis.
Methods: Firstly,we assessed the potential association between PD-L1 expression on monocyte subsets and sepsis severity as well as 28-day mortality. In thi study, 52 septic patients,28 septic shock patients and 40 healthy controls were enrolled and their peripheral whole blood were examined by Flow cytometry. Then Cecal ligation and puncture (CLP) were performed for establishing the mouse sepsis model. Subsequently, effect of anti-PD-L1 antibody on monocyte subset, major histocompatibility complex II(MHC II) expression, cytokine production, and survival were investigated. Results: PD-L1 expression on the classical monocytes (CD14++CD16−) was significantly upregulated among septic shock patients and the 28-d death group than non-septic shock group and 28-d survival group (P<0.05). Compared to septic mice, anti-PD-L1 treated mice had significantly elevated percentages of major histocompatibility complex (MHC) II on peripheral Ly6chi monocyte at 24 h after CLP. Our results showed that the anti-PD-L1 antibody markedly decreased the level of serum inflammatory cytokines serum interleukin (IL)-6, tumor necrosis factor (TNF)-a, and IL-10 in sepsis mice at 24h, 48h, and 72 h, respectively (P<0.05). The survival rate of CLP mice was significantly improved by anti-PD-L1 antibody treatment .
Conclusion: Classical monocytes with high expression of PD-L1 was thought to be connected with sepsis
progression. The PD-L1 blockade protects from sepsis, at least partially by inhibiting the reversal of monocyte dysfunction.
Sensitization of hepatocellular carcinoma cells to HDACi is regulated through hsa-miR- 342-5p/CFL1
Authors: Nakka Parvathi , Jassi Chikondi , Chen Ming-Cheng , Liu Yi-Sheng , Liu Jer-Yuh , Yeh Chung-Min , Li Chi-Cheng , Chang Yu-Chun , Kuo Wei-Wen , Huang Chih-Yang
Published: June 2023

Background Increased prevalence of hepatocellular carcinoma (HCC) remains a global health challenge. HCC chemoresistance is a clinical obstacle for its management. Aberrant miRNA expression is a hallmark for both cancer progression and drug resistance. However, it is unclear which miRNAs are involved in HCC chemoresistance.
Methods MicroRNA microarray analysis revealed a differential expression profile of microRNAs between the hepatocellular carcinoma HA22T cell line and the HDACi-R cell line, which was validated by quantitative real-time PCR (qRT-PCR). To determine the biological function of miR-342-5p and the mechanism of the microRNA-342-5p/CFL1 axis in hepatocellular carcinoma HDACi resistance, loss- and gain-of-function studies were conducted in vitro.
Results Here we demonstrated the molecular mechanism of histone deacetylase inhibitor (HDACi) resistance in HCC. Differential miRNA expression analysis showed significant down regulation of miR-342-5p in HDACi-R cells than in parental HA22T cells. Mimics of miR-342-5p enhanced apoptosis through upregulation of Bax, cyto-C, cleaved-caspase-3 expressions with concomitant decline in anti-apoptotic protein (Bcl-2) in HDACi-R cells. Although HDACi did not increase cell viability of HDACi-R, overexpression of miR-342-5p decreased cofilin-1 expression, upregulated reactive oxygen species (ROS) mediated apoptosis, and sensitized HDACi-R to HDACi in a dose-dependent manner.
Conclusion Our findings demonstrated the critical role of miR-342-5p in HDACi resistance of HCC and that this mechanism might be attributed to miR-342-5p/cofilin-1 regulation.
Quality of life after urinary stone surgery based on Japanese Wisconsin Stone Quality of Life questionnaire: multicenter analysis from SMART study group
Authors: Okada Tomoki , Hamamoto Shuzo , Taguchi Kazumi , Okada Shinsuke , Inoue Takaaki , Ando Ryosuke , Okada Atsushi , Yasui Takahiro
Published: June 2023

To evaluate the impact of surgical treatment for urinary stones on perioperative health-related quality of life (HRQOL) using the Japanese Wisconsin Stone Quality of Life questionnaire (J-WISQOL), an HRQOL measure designed for patients with urinary stones. This study prospectively enrolled 123 patients with urinary stones who visited three academic hospitals for stone treatment. The participants completed the J-WISQOL within 4 weeks before and after the urinary stone treatment. Treatments included shock wave lithotripsy (SWL), ureteroscopy lithotripsy, and endoscopic combined intrarenal surgery. J-WISQOL was assessed for age, stone size and location, type of treatment, stone-free status, postoperative ureteral stent placement, hospital stay, and complications in all patients. Patients with stones in the ureter had significantly greater social impact D1 and disease impact D3 than those with stones in the kidney. In a comparison of pre- and postoperative J-WISQOL, patients without postoperative ureteral stent placement scored significantly higher on social impact D1 and disease impact D3. Patients with shorter hospital stay had significantly higher social impact D1 and disease impact D3 (p < 0.001) than those with longer hospital stay. SWL significantly improved the total score, social impact D1, and disease impact D3 compared with other treatments. Perioperative HRQOL in patients with urinary stones is particularly affected by the type of treatment, ureteral stent placement, and hospital stay, which should be considered in surgical selection and patient decision-making.
A Survey on Neural Topic Models: Methods, Applications, and Challenges
Authors: Wu Xiaobao , Nguyen Thong , Luu Anh Tuan
Published: June 2023

Topic models aim to discover latent topics and infer what topics a document contains in an unsupervised fashion. They have been prevalent for decades with wide applications like text analysis. Recently the rise of neural networks has facilitated a new research field---Neural Topic Models (NTMs). Different from conventional models, NTMs directly optimize parameters without model-specific derivations. This endows NTMs with better scalability and flexibility, resulting in significant research attention and plentiful new methods and applications. In this paper, we present a thorough survey on neural topic models carefully and widely. In detail, we systematically organize current NTM methods according to their network structures and introduce the NTMs for various scenarios like short texts and cross-lingual documents. Then we discuss developed popular applications based on NTMs. We finally highlight the challenges of NTMs to motivate future research.
Determining the response of vegetation to urbanization and land use/land cover changes using NDVI and NDBI differencing techniques
Authors: Dangulla Murtala , Manaf Latifah Abd , Ramli Mohammad Firuz
Published: June 2023

Urban ecosystem is a self-organising system of unusual complexity, made up of different interacting social, economic, institutional and ecological subsystems. The response of vegetation to urbanization and accompanying land use and land cover changes in urban areas depends on the form of urbanization and climatic region. Many scholars believe that vegetation is destroyed or at least stunted by urbanization while others are of the opinion that urbanization enhances urban vegetation. This study assessed the relationship between urban expansion and tree density in Sokoto metropolis over a 32-year period using NDVI and NDBI differencing techniques. Results show that the net vegetation gain was 927.8ha while the built-up area expanded by 2918.1ha. Urbanization and urban expansion may have detrimental effects on urban vegetation but with controlled planning, it will have little or no negative impacts. The results show that management and policy measures can be taken in cities in order to mitigate the negative impacts of urbanization on urban vegetation. These findings are relevant in the planning and management of urban forests.
Severe prolonged drought favours stress-tolerant microbes in Australian drylands
Authors: Maisnam Premchand , Jeffries Thomas C , Szejgis Jerzy , Bristol Dylan , Singh Brajesh K , Eldridge David J , Horn Sebastian , Chieppa Jeff , Nielsen Uffe N
Published: June 2023

Drylands comprise one-third of Earth’s terrestrial surface area and support over two billion people. Most drylands are projected to experience altered rainfall regimes, including changes in total amounts and fewer but larger rainfall events interspersed by longer periods without rain. This transition will have ecosystem-wide impacts but the long-term effects on microbial communities remain poorly quantified. We assessed belowground effects of altered rainfall regimes (+ 65% and − 65% relative to ambient) at six sites in arid and semi-arid Australia over a period of three years (2016–2019) coinciding with a significant natural drought event (2017–2019). Microbial communities differed significantly among semi-arid and arid sites and across years associated with variation in abiotic factors, such as pH and carbon content, along with rainfall. Rainfall treatments induced shifts in microbial community composition only at a subset of the sites (Milparinka and Quilpie). However, differential abundance analyses revealed that several taxa, including Acidobacteria, TM7, Gemmatimonadates and Chytridiomycota, were more abundant in the wettest year (2016) and that their relative abundance decreased in drier years. By contrast, the relative abundance of oligotrophic taxa such as Actinobacteria, Alpha-proteobacteria, Planctomycetes, and Ascomycota and Basidiomycota, increased during the prolonged drought. Interestingly, fungi were shown to be more sensitive with increasing drought intensity and to rainfall treatment than bacteria with Basidiomycota mostly dominant in the reduced rainfall treatment. Moreover, correlation network analyses showed more positive associations among stress-tolerant dominant taxa following the drought (i.e., 2019 v 2016). Our result indicates that such stress-tolerant taxa play an important role in how whole communities respond to changes in aridity. Such knowledge provides a better understanding of microbial responses to predicted increases in rainfall variability and the impact on the functioning of semi-arid and arid ecosystems.
Advances and Challenges in Learning from Experience Replay
Authors: Neves Daniel Eugênio , Júnior Zenilton Kleber Gonçalves do Patrocínio , Ishitani Lucila
Published: June 2023

From the first theoretical propositions in the ’50s, inspired by the neuroscience and psychology studies about the learning processes in human beings and animals, to its application in real-world problems on learning to action, Reinforcement Learning (RL) is still being a fascinating, rich, and complex class of machine learning algorithms. In particular, we will start reviewing its fundamental principles and develop a discussion about how a technique called Experience Replay (ER) has been of fundamental importance in making a variety of methods in most of the relevant problems and different domains more data efficient, using agent experiences to improve its performance. We present some of the more relevant methods in the literature, which base most recent research on improving RL with ER. Finally, we bring from the recent literature some of the main trends, challenges, and advances focused on reviewing and discussing ER formal basement and how to improve its proposition to make it even more efficient in different methods and domains.
RFENet: Recurrent Feature Extraction Module with Attention for Retinal Vessel Segmentation
Authors: Zhu Weitao , Liu Peter X.
Published: June 2023

Retinal vessel segmentation is essential to assist doctors in diagnosing diabetic retinopathy, macular atrophy, glaucoma, and other ophthalmic diseases. Due to the small size and complex distribution of retinal vessel, traditional segmentation methods are prone to losing details. In order to improve the segmentation accuracy of retinal vessel and obtain the global contextual information in retinal images, this paper proposes a recurrent feature extraction network (RFENet) based model. First, the recurrent feature extraction (RFE) module extracts feature from the deep feature map in a recurrent manner to mitigate the problem of insufficient feature extraction when the model handles medical image segmentation. Next, this module performs a multi-scale fusion of the extracted features to obtain multi-scale features of the image. An attention module is used to further improve the feature extraction capability of the network before montaging the features at each resolution of the encoder with the corresponding features in the decoder. By applying the recurrent feature extraction module to the encoder-decoder structure for vessel segmentation on the color fundus image datasets DRIVE and STARE, experimental results show that the retinal vessel segmentation method based on the recurrent feature extraction module effectively improves the segmentation accuracy.
Disulfidptosis-associated lncRNAs predict breast cancer subtypes
Authors: Xia Qing , Yan Qibin , Wang Zehua , Huang Qinyuan , Zheng Xinying , Shen Jinze , Du Lihua , Li Hanbing , Duan Shiwei
Published: June 2023

Background
Disulfidptosis is a newly discovered mode of cell death. However, its relationship with breast cancer subtypes remains unclear. In this study, we aimed to construct a disulfidptosis-associated breast cancer subtype prediction model.
Methods
We obtained 19 disulfidptosis-related genes from published articles and performed correlation analysis with lncRNAs differentially expressed in breast cancer. We then used the random forest algorithm to select important lncRNAs and establish a breast cancer subtype prediction model. We identified 132 lncRNAs significantly associated with disulfidptosis (FDR < 0.01, |R|>0.15) and selected the first four important lncRNAs to build a prediction model (training set AUC = 0.992).
Results
The model accurately predicted breast cancer subtypes (test set AUC = 0.885). Among the key lncRNAs, LINC02188 had the highest expression in the Basal subtype, while LINC01488 and GATA3-AS1 had the lowest expression in Basal. In the Her2 subtype, LINC00511 had the highest expression level compared to other key lncRNAs. GATA3-AS1 had the highest expression in LumA and LumB subtypes, while LINC00511 had the lowest expression in these subtypes. In the Normal subtype, GATA3-AS1 had the highest expression level compared to other key lncRNAs. Our study also found that key lncRNAs were closely related to RNA methylation modification and angiogenesis (FDR < 0.05, |R|>0.1), as well as immune infiltrating cells (P.adj < 0.01, |R|>0.1).
Conclusions
Our random forest model based on disulfidptosis-related lncRNAs can accurately predict breast cancer subtypes and provide a new direction for research on clinical therapeutic targets for breast cancer.
Mangifera indica (Mango) and Dysoxylum binectariferum (Lamboo) based agroforestry system: An Ideal Model for Alternative Land Use System for Food Security and Socioeconomic benefits with Assessment of Carbon Sequestration
Authors: Murmu Suren , Padhi Gayatri Kumari , Verma Sachin , Murmu Paritosh , Upadhyay Lalit , Dhara Pratap Kumar
Published: June 2023

Agroforestry is a sustainable land use system that combines tree and crops for productive and protective purposes. Integration of trees in agroforestry system results in positive or negative tree-crop interactions, hence, selection of suitable tree – crop combinations is important. To find out the suitable tree-crop combination, a field experiment was conducted at Regional Research Station (Bidhan Chandra Krishi Viswavidyalaya), Jhargram, West Bengal, India. The different crops were cultivated and evaluated during 2017- 18 in alley space of mango (Mangifera indica) and Lamboo (Dysoxylum binectariferum) plantation raised during 2010. Mango plants were planted at 10x10m spacing and Lamboo plants were introduced between two mango plants with in the row i.e., each at 5m distance from mango plant. The crops viz pigeon pea (Cajanus cajan), black gram (Vigna mungo), bottle gourd (Lagenaria siceraria), okra (Abelmoschus esculentus) and maize (Zea mays) were cultivated during monsoon-autumn and mustard (Yellow Sarson i.e., Brassica campestris) in winter season. The data revealed that Lamboo and Mango trees in agroforestry system recorded significantly higher growth and yield in comparison to pure plantations. The growth attributes of Lamboo and Mango were recorded to be highest in treatment (T1). The productivity of Lamboo and Mango was also recorded to be highest in the treatment accompanied with Mango and Pigeon Pea. After completion of two cycles of cropping, the results revealed that increase in percentage of organic carbon, N, P and K was found to higher in T1 (Lamboo + Mango + Pigeon pea) i.e., Organic Carbon -29.73%, N-39.21%, P-38.20% and K-19.66%). The maximum gross income was recorded in T3 (Lamboo + Mango + Bottle gourd – Mustard) i.e., ₹7,64,995 per hectare. Hence, this tree-crop combination can be adopted for highest return in Paschim Medinipur, West Bengal.
Exposome Profiling of Environmental Pollutants in Seminal Plasma and Novel Associations with Semen Parameters.
Authors: Wu Haotian , Kalia Vrinda , Manz Katherine E. , Chillrud Lawrence , Dishon Nathalie Hoffman , Jackson Gabriela L. , Dye Christian K. , Orvieto Raoul , Aizer Adva , Levine Hagai , Kioumourtzoglou Marianthi-Anna , Pennell Kurt D. , Baccarelli Andrea A. , Machtinger Ronit
Published: June 2023

There is evidence that indicators of male fertility are in decline globally, but the underlying causes to this pressing global concern have yet to be elucidated. While environmental chemicals are likely major contributors, current knowledge of environmental determinants of male fertility is limited and does not adequately explain this phenomenon. Previous studies have typically examined only limited sets of exposures in blood or urine, which may not accurately capture chemical burden in relevant reproductive tissues, and have overlooked a large range of potential concurrent exposures. Here, using an expansive non-targeted analysis to profile the exposome, we detected widespread environmental pollutant exposure from common and rare environmental exposures in seminal plasma. Machine learning pattern recognition and mixture models identified Etridiazole and N-nitrosodiethylamine to be negatively associated with semen parameters. Our findings suggest that these chemicals are detrimental to sperm and exposomic studies can be used to identify potential reproductive toxicants.
PENGARUH CITRA PERUSAHAAN, TINGKAT KEAGAMAAN, GAYA HIDUP, PERSEPSI, DAN PROMOSI TERHADAP MINAT MENJADI NASABAH BANK SYARIAH DI KOTA BLITAR
Authors: Miftaqurromah Yuselda , Rafikasari Elok Fitriani
Published: June 2023

Lembaga Keuangan Syariah merupakan lembaga keuangan yang beroperasional dan berjalan dengan prinsip syariah Islam. Prinsip syariah Islam ini berbeda dari perbankan atau lembaga keuangan konvensional. Lembaga Keuangan Syariah sebagai lembaga keuangan dengan prinsip syariah awalnya hadir sebagai pilihan sekaligus solusi untuk muslim yang ingin terhindar dari praktek bank atau lembaga keuangan konvensional yang menggunakan system ribawi namun akhirnya juga dapat menjadi pilihan bagi selain umat muslim. Penyelenggaraan lembaga keuangan syariah berarti wajib bertanggung jawab secara syariah untuk menjaga tidak hanya agar praktek dalam lembaga keuangan syariah itu bebas riba saja tapi juga harus bebas dari unsur maysir/judi dan Ghoror/spekulasi/judi. Islam memerintahkan untuk menjauhi hal hal tersebut karena hal tersebut dianggap sebagai berbuat zhalim atau kerusakan. Indonesia merupakan suatu negara yang mayoritas penduduknya adalah agama islam. Dengan pertambahan penduduk muslim yang sangat pesat, maka Indonesia ini memiliki potensi yang besar untuk mengembangkan sistem keuangan di Lembaga Keuangan Syariah. Dengan hal tersebut akan mempermudah untuk menggerakkan masyarakat di Indonesia khususnya yang beragama islam untuk menjadi nasabah di Bank Syariah yang ada di Indonesia. Akan tetapi, mengapa sampai saat ini masih banyak masyarakat Indonesia yang belum paham mengenai Perbankan Syariah. Dengan menekankan pengetahuan kepada masyarakat pastinya akan mempermudah dalam memasarkan produk perbankan syariah. Selain mayoritas penduduknya agama islam, Indonesia juga sangat padat dengan penduduknya. Salah satu kota yang memiliki banyak penduduk adalah di Kota Blitar. Dengan jumlah penduduk yang banyak dan mayoritas agama islam, maka akan mempermudah lembaga keuangan syariah untuk menarik atau merangkul masyarakat
ANALISIS KEGIATAN PEMELIHARAAN MESIN DAN BANGUNAN PADA PABRIK TAHU UNTUK MEMINIMUMKAN BIAYA SAAT PANDEMI COVID-19
Authors: Widat Shafwil Widat , Awalina Devita Nur , Mufidah Kiki Maulia
Published: June 2023

Salah satu kegiatan yang dilakukan dalam menanggulangi produksi yang berangsur secara terus menerus maka perlu dilakukannya pemeliharaan  mesin. untuk mencapai laba yang maksimal.  maka perusahaan harus mempunyai cara yang tepat dengan cara megendalikan biaya untuk keperluaan produksi.Tujuan dari penelitian untuk menjelaskan bagaimana menganalisis pemeliharaan mesin dalam meminimumkan biaya pemeliharaan pada masa pandemi di Pabrik tahu Mahmud Putra. Metode yang digunakan dalam penelitian ini adalah metode kualitatif yaitu wawancara lagsung dengan pihak berkepentingan.  Kerusakan mesin yang sering terjadi di Pabrik tahu Mahmud Putra ialah pada mesin penggiling kedelai lebih tepatnya pada batu dan laher. Untuk mengatasinya dilakukan pemeliharaan pencegahan dan pemeliharaan perbaikan.
Pengaruh Current Ratio (CR), Net Profit Margin (NPM), Total Asset Turn Over (TATO) Terhadap Profitabilitas Perusahaan PT. Telkom Indonesia Tahun 2011-2020
Authors: Nadila Ayva , Hapsari Mega Tunjung
Published: June 2023

Dalam sebuah perusahaan sangatlah penting adanya profit karena profit merupakan tingkat efisiensi perusahaan, yaitu sejauh mana kemampuan perusahaan untuk mengurangi biaya operasi selama periode waktu tertentu. Dengan adanya profit investor akan mengetahui seberapa perusahaan tersebut mampu menghasilkan laba, sehingga investor dapat mengambil keputusan dengan bijak. Dan investor tidak akan merasa rugi berinvestasi di perusahaan tersebut. Seorang investor hanya perlu melakukan sebuah analisa yang mempengaruhi adanya profit. Penelitian ini bertujuan untuk mengetahui Pengaruh Current Ratio (CR), Net Profit Margin (NPM), Total Asset Turn Over (TATO) Terhadap Profitabilitas (Return On Asset) pada perusahaan PT. Telkom Indonesia pada tahun 2011-2020. Penelitian ini menggunakan pendekatan  metode kuantitatif dengan data sekunder yang diperoleh dari dokumen data laporan keuangan perusahaan dengan teknik dokumentasi melalui media internet dan aplikasi Indopremier sekuritas. Teknik analisis data yang digunakan adalah uji asumsi klasik, regresi linier berganda, uji hipotesis, serta koefisien determinan. Pengolahan data menggunakan program software SPSS (Statistic Package for the Social Sciens) 25.0 for windows. Hasil penelitian ini membuktikan bahwa variabel Current Ratio (CR) tidak berpengaruh positif dan signifikan terhadap Return On Asset (ROA) pada tahun 2011-2020. Sedangkan variabel Net Profit Margin (NPM) dan Total Asset Turn Over (TATO) berpengaruh positif dan signifikan terhadap Return On Asset (ROA) pada tahun 2011-2020.
ANALISIS SWOT DALAM MENENTUKAN STRATEGI PEMASARAN TELUR AYAM RAS DI UD. JAYA MAKMUR DESA BENDOSARI BLITAR
Authors: Ariska Hilmi , Pravitasari Dyah
Published: June 2023

Sektor peternakan ayam petelur merupakan salah satu sektor pokok bagi kebutuhan manusia. Permasalahan-permasalahan yang timbul mulai dari proses produksi telur hingga pemasaran telur tentu saja perlu dianalisis dan ditangani secara serius, sehingga nantinya mampu memberikan banyak manfaat bagi sektor kebutuhan pokok dan sektor perekonomian masyarakat secara umum. Tujuan penelitian ini adalah 1) mengidentifikasi IFAS dan EFAS; dan 2) melakukan analisis SWOT untuk menentukan strategi pemasaran pada UD. Jaya Makmur Desa Bendosari Blitar. Pendekatan dalam penelitian ini adalah pendekatan kualitatif, dengan metode deskriptif. Peneliti bertindak sebagai instrumen sekaligus pengumpul data. Data primer dalam penelitian ini diperoleh peneliti berdasarkan wawancara kepada subjek penelitian. Penelitian ini dilakukan di UD. Jaya Makmur dengan pemilik Ibu Nur Hidayati yang berlokasi di Desa Bendosari Blitar. Setelah dilakukan analisis menggunakan matriks internal faktor (IFAS) dan eksternal faktor (EFAS) ditemukan hasil bahwa strategi pemasaran  UD Jaya Makmur memperoleh nilai 3,33 dan 3,66. Hal ini menunjukkan bahwa UD Jaya Makmur berada pada titik koordinat (0,55: 0,43) yang terletak pada kuadran I (agresif) di antara kekuatan dan ancaman, sehingga yang digunakan yaitu strategi SO. Strategi yang dapat digunakan antara lain melakukan pengembangan dan promosi produk unggulan pada media online selain pada WhatsApp, Facebook, Instagram, dan lain-lain; melakukan pendekatan dan peningkatan kualitas agar masyarakat tetap percaya; peningkatan sistem pembayaran di akhir; peningkatan seleksi telur ayam agar pelanggan tetap loyal; serta memberikan wawasan bagi pelaku usaha dengan bahan baku telur agar UD Jaya makmur dan pemilik usaha sama-sama berkembang.
The Overview of Clerkship Students of the Faculty of Medicine and Health Sciences at Krida Wacana Christian University Year 2022 awareness towards Refractive Error
Authors: Anugrahsari Santi , Us Abatan Robert Tupan , Tengku Adnan Tengku Nadira Munawarah , Mariana Lena , Susanto Nadya Gabriella , Sosomar Ester Cesaria Claudia
Published: June 2023

Background Knowledge of medical science is essential to basic medical clerkship students who should prepare for a clinical clerkship. Eye disease is still one of the biggest health problems globally, especially those which cause blindness, one of which is related to refractive disorders.

Purpose This study aims to explore knowledge about refractive abnormalities to basic medical clerkship students of UKRIDA in 2022.

Method It employs a descriptive research method, and the questionnaires are created based on a Likert scale and shared on Google Forms.

Result The number of participants is 80 people with an age range of 20-25 years with 67.5% of women. A total of 43.75% of students have a good level of knowledge, and 56.25% of them hold a sufficient level of knowledge about refractive disorders. Meanwhile, 86.25% of them have a good understanding about eye anatomy and refractive examination. 75.75% have a good level of knowledge about myopia. 32.5% have a good level of knowledge about hypermetropia. And, as many as 35% students have a good understanding of astigmatism. Further, a total of 37.5% of students have a good level of knowledge about refractive anomalies.
Conclusion A total of 43.75% of students have a good level of knowledge, and 56.25% have a sufficient level of knowledge about refractive disorders. Age, education level, environmental factors, and social factors influence refractive conditions.
DESCRIPTION OF PAIN IN DIABETES MELLITUS AND NON-DIABETES MELLITUS PATIENTS AT PUSKESMAS DANUREJAN 1, YOGYAKARTA
Authors: Wibowo Anandora Bagas Satrio , Sari Lisa Kurnia , Lestari MMA Dewi , Sp.PD Dr. Probosuseno , Suryanto Yanti Ivana
Published: June 2023

Background Diabetes mellitus (DM) is a disease caused by impaired glucose metabolism, failure of the pancreas to produce the insulin hormone or the body's inability to respond to the insulin hormone. The neurologic complications are neuropathic or nociceptive pain. Neuropathic pain can cause the decrease in patient’s quality of life. Knowing the spread of neuropathic pain based on anatomical predilection may help clinicians conduct early diagnosis and improve the patient's quality of life.

Objective This study aim to determine the characteristics, prevalence and location of pain in patients with type 2 diabetes mellitus and non-diabetes mellitus at Puskesmas Danurejan I Yogyakarta.

Methods A descriptive quantitative study on 42 secondary data from previous study in Puskesmas Danurejan I. The inclusion criteria were data of patients with neuropathic pain (electric shock-like pain, stabbing pain) and nociceptive pain  (burning sensation pain) who were > 40 years old. The exclusion criteria were incomplete data and recorded consumed non-steroidal anti-inflammatory drugs in the last of 4 days in previous study. Univariate and bivariate analysis were used in this study.

Results Patients with DM accounted for 50% of cases by 21 people. Patients with DM had the most frequent comorbidities, such as hypertension (42.8%) and obesity (42.8%), Most patients with DM reported pain (85.7%) with neuropathic back pain (27.7%). Based on the type of pain, patients with DM most frequently reported neuropathic pain (66.7%) (p=0.001).

Conclusion There was a relationship between diabetes mellitus and the incidence of neuropatic pain but not nociceptive pain.
Ima li neangažirane filozofije?
Authors: Veljak Lino
Published: June 2023

Postavlja se pitanje: postoji li uopće nekakva neangažirana filozofija? Naime, svaka filozofija koja se može ocijeniti tim imenom, a ne kao ideologija, sofistika ili obmanjivanje, valjala bi se označiti kao takvo mišljenje koje ostaje vjerno istini, dakle kao filozofija angažirana u službi istine. Suprotno, ona filozofija koja je stupila u službu svjetovne ili onostrane moći uopće se ne može vrednovati kao filozofija. Stoga, nameće se još jedno pitanje: je li ovdje umjesna paralela s tzv. angažiranom umjetnošću? Odgovor je omogućen posredstvom definicije filozofije kao djelatnosti bespoštednog služenja istini.
$m^*$ of two-dimensional electron gas: A neural canonical transformation study
Authors: Xie Hao , Zhang Linfeng , Wang Lei
Published: June 2023

The quasiparticle effective mass m^\astm* of interacting electrons is a fundamental quantity in the Fermi liquid theory. However, the precise value of the effective mass of uniform electron gas is still elusive after decades of research. The newly developed neural canonical transformation approach [Xie et al., J. Mach. Learn. 1, (2022)] offers a principled way to extract the effective mass of electron gas by directly calculating the thermal entropy at low temperature. The approach models a variational many-electron density matrix using two generative neural networks: an autoregressive model for momentum occupation and a normalizing flow for electron coordinates. Our calculation reveals a suppression of effective mass in the two-dimensional spin-polarized electron gas, which is more pronounced than previous reports in the low-density strong-coupling region. This prediction calls for verification in two-dimensional electron gas experiments.
Equilibration of multitime quantum processes in finite time intervals
Authors: Dowling Neil , Figueroa-Romero Pedro , Pollock Felix A. , Strasberg Philipp , Modi Kavan
Published: June 2023

A generic non-integrable (unitary) out-of-equilibrium quantum process, when interrogated across many times, is shown to yield the same statistics as an (non-unitary) equilibrated process. In particular, using the tools of quantum stochastic processes, we prove that under loose assumptions, quantum processes equilibrate within finite time intervals. Sufficient conditions for this to occur are that multitime observables are coarse grained in both space and time, and that the initial state overlaps with many different energy eigenstates. These results help bridge the gap between (unitary) quantum and (non-unitary) statistical physics, i.e., when all multitime properties and correlations are well approximated by stationary quantities, which includes non-Markovianity and temporal entanglement. We discuss implications of this result for the emergence of classical stochastic processes from multitime measurements of an underlying genuinely quantum system.
Comparative evaluation of preventive anticoagulant therapy regimens in the wounded
Authors: Varavin N. A. , Salukhov V. V. , Kryukov E. V. , Kolodyazhnaya V. A.
Published: June 2023

Introduction. Currently, the issues of prescribing anticoagulant therapy to the wounded are poorly studied, the doses of drugs and the timing of its implementation have not been determined.

Aim. To study various modes of anticoagulant therapy for the prevention of venous thrombosis of the lower extremities in the wounded after surgery using the parameters of the plasma hemostasis system and the Thrombodynamics test.

Materials and methods. A prospective study was conducted, which included 90 wounded with mine-explosive/gunshot injury receiving anticoagulant therapy in preventive doses. The studies were carried out on the equipment of the Thrombodynamics recorder (HemaCor, Moscow). The patients were divided into 3 groups: 1 group, which included 30 patients taking rivaroxaban at a dose of 10 mg/day, 2 group of 30 patients receiving enoxaparin sodium at a dose of 40 mg once a day, 3 group consisting of 30 patients receiving enoxaparin sodium 40 mg 2 times a day. In the dynamics of treatment, the parameters of the plasma hemostasis system and the parameters of the Thrombodynamics test were evaluated.

Results. It was revealed that during preventive anticoagulant therapy, there were no significant differences in the standard parameters of the coagulogram, when studying the parameters of the Thrombodynamics test, significant differences were

observed between groups 1 and 3 in values (V/VSt, Vi, Tlag, СS), between group 2 and 3 in parameter (V/VSt, Vi, Tlag, СS), between group 1 and group 2 in the value of D. A statistically significant relationship was found between the Thrombodynamics parameter D and the indicators of TV, prothrombin by Quick, and fibrinogen content.

Conclusion. The Thrombodynamics test can be used as a potential tool for a personalized approach to monitoring the hemostasis system in the wounded.
Formação em administração e consciência política de estudantes de graduação
Authors: Castro Rafael Rodrigues de , Teodósio Armindo Dos Santos de Sousa
Published: June 2023

Este artigo visa compreender a formação em Administração e a construção da consciência política das(os) estudantes do Curso de Graduação em Administração da PUC Minas Campus Betim. Os eixos teóricos se baseiam na Pedagogia Crítica de Paulo Freire e no Modelo Analítico de Consciência Política (Sandoval & Silva, 2016). Este trabalho se orientou pela perspectiva crítica, sendo adotada a pesquisa qualitativa e o estudo de caso como estratégia de pesquisa. A coleta dos dados empíricos se deu por meio de pesquisa documental, observação não participante, entrevistas estruturadas e entrevistas qualitativas. Os dados foram analisados pelo método dialético-dialógico freireano. Os resultados evidenciaram que, na formação em Administração, há pequenas faíscas relacionadas ao Ensino. Todavia, devido a um processo de reprodução na formação, o Ensino tem se sobreposto a Pesquisa e a Extensão, e há uma dissociação entre Ensino, Pesquisa e Extensão, refletindo na sedimentação da percepção das(os) estudantes sobre a formação. Em relação a configuração da consciência política, há uma desmobilização concernente a Extensão, os Espaços Formativos e a participação cidadã nos lugares públicos participativos. O estudo contribui ao preencher uma lacuna nos estudos de Ensino Crítico em Administração, uma vez que adotar a pedagogia crítica de Paulo Freire, permite compreender o caráter ético-político da formação em Administração, apesar de algumas pessoas negarem tal politicidade. Além disso, a incorporação do Modelo Analítico de Consciência Política na análise lançou luzes sobre a (des)mobilização das(os) estudantes.