bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social and Biological Impact of Oil Palm (Elaeis Guineensis Jacq.) Plantations in the Eastern Brazilian Amazon
Authors: Manhães Adriana P. , Rocha Flávia , Souza Tatiana , Marques Karoline , Juen Leandro , Montag Luciano , Coutinho Bruno 
Published: January 2024

Abstract

Oil palm plantations are rapidly expanding in the Brazilian Eastern Amazon with high endemism but still are facing deforestation and biodiversity loss. This study in the Belém Endemism Area assessed the impacts of oil palm expansion on both biological and social aspects. The biological impact analysis compared biodiversity in seven taxonomic groups between forests and oil palm plantations. It revealed a decline in diversity for aquatic insects (Hemiptera), amphibians, reptiles, birds, and plants, while fish and Odonata insects increased in plantations. On the social front, local communities' perceptions of socioeconomic and environmental changes due to oil palm expansion were examined. Smallholders and hired workers were less negative in their perceptions regarding socioeconomic factors like contributions to the local economy and job opportunities, as well as environmental aspects like water availability and air and water quality. Our study highlights biological and social factors in the context of oil palm expansion that should be considered to ensure more sustainable development in this ecologically unique and threatened region. Certified companies are encouraged to achieve zero deforestation rates and implement social programs that integrate all local communities into the value chain, aiming for coexistence between oil palm cultivation and biological conservation in the Amazon.
Activation of STING by the Novel Liposomal TLC388 Enhances the Therapeutic Response to Anti-PD-1 Antibodies in Combination with Radiotherapy
Authors: Chen Jhen-Yu , Lin Po-Yu , Hong Wei-Ze , Yang Pei-Chen , Chiang Shu-Fen , Chang Hsin-Yu , Ke Tao-Wei , Liang Ji-An , Chen William Tzu-Liang , Chao K. S. Clifford , Huang Kevin Chih-Yang 
Published: January 2024

Abstract
Rectal cancer constitutes 30–40% of colorectal cancer (CRC) cases and is a major global cause of cancer-related mortality. The main therapeutic approach for locally advanced rectal cancer patients is chemoradiotherapy (CRT), which controls tumor growth and diminishes distant metastasis. Nevertheless, 30–40% of patients exhibit a partial response to CRT because of the detrimental effects of drug toxicity and because of the potential risk of delaying surgery. In our study, we discovered that the novel topoisomerase I inhibitor lipotecan (TLC388) can induce immunogenic cell death (ICD), leading to the release of damage-associated molecular patterns (DAMPs), including HMGB1, ANXA1, and CRT. Lipotecan enhances cancer immunogenicity, stimulating the antitumor immune response that promotes the infiltration of immune cells within the tumor microenvironment (TME), both in vitro and in vivo. Collectively, these findings highlight the capacity of lipotecan to reshape the tumor microenvironment, thereby stimulating anticancer immune responses, as well as holding promise for enhancing the therapeutic efficacy of neoadjuvant CRT in patients with local advanced rectal cancer.
Asessment of roughness characterization methods for data-driven predictions
Authors: Yang Jiasheng , Stroh Alexander , Lee Sangseung , Bagheri Shervin , Frohnapfel Bettina , Forooghi Pourya 
Published: January 2024

Abstract

A comparative analysis is undertaken to explore the impact of various roughness characterization methods as input variables on the performance of data-driven predictive models for estimating the roughness equivalent sand-grain size $k_s$.%All models developed in this work are realized in the form of fully connected multi-layer perceptron (MLP).The first type of model, denoted as $\text{NN}_\text{PS}$, incorporates the roughness height probability density function (p.d.f.) and power spectrum (PS), while the second type of model, $\text{NN}_\text{PA}$, utilizes a finite set of 17 roughness statistical parameters as input variables.Furthermore, a simplified parameter-based model, denoted as $\text{NN}_\text{PAM}$, is considered, which features only 6 input roughness parameters.%A training database consisting of 85 artificially generated roughness samples along with their direct numerical simulation results is employed. The models are trained based on identical databases and evaluated using roughness samples similar to the training databases as well as an external testing database based on literature.%those provided in the literature. While the predictions based on p.d.f. and PS achieves a stable error level of around 10\% among all considered testing samples, a notable deterioration in performance is observed for the parameter-based models for the external testing database, %on the external surfaces, indicating a lower extrapolating capability to diverse roughness types.Finally, the sensitivity analysis on different types of roughness confirms an effective identification of distinct roughness effects by $\text{NN}_\text{PAM}$, which is not observed for $\text{NN}_\text{PA}$.We hypothesize that the successful training of $\text{NN}_\text{PAM}$ is attributed to the enhanced training efficiency linked to the lower input dimensionality.
Quaternization-based Graft Modification of Straw Fibers for Conditioning the Sludge Dewatering Performance
Authors: Zhang Qingfang , Zhao Yanbin , Yang Qiyong , Wang Tianfeng , Xu Binjie , Zhang Xinhua , Xiong Houfeng 
Published: January 2024

Abstract

Extracellular polymeric substances (EPS) are a critical influencing factor in sludge dewatering. Disrupting such EPS contributes to the release of bound water in sludge, enhancing the sludge dewatering performance. This study quaternized straw fibers destructive for the EPS structure and components in active sludge were prepared with heterogeneous free radical graft polymerization. Straw fibers, dimethyl diallyl ammonium chloride (DMDAAC), ammonium persulfate (APS), and acrylamide (AM) were taken as the substrate, grafting monomer, catalyst, and cross-linking agent, respectively. The impacts of reaction temperature, reaction time, catalyst dosage, and monomer dosage on the grafting efficiency of straw fibers were explored. Further, the morphology, elemental composition, and structure of the modified fibers were characterized employing scanning electron microscopy (SEM), elemental analysis (EA), and Fourier transform infrared spectroscopy (FTIR), respectively. The optimal processing conditions determined for the DMDAAC-based quaternization and graft modification of straw fibers were as follows: reaction temperature of 60°C, reaction time of 5 h, 0.1 g of catalyst APS dosage per gram of straw, and 3 ml of DMDAAC dosage per gram of straw. The optimal processing conditions yielded 1.335 g of modified straw fibers per gram of straw, 33.5% grafting rate, and 31.70% substitution of the quaternary ammonium groups. The modified straw fibers disrupted the sludge EPS, boosting sludge dewatering. They improved the filtering performance of the sludge. The capillary suction time (CST) was conditioned from 243.3 ± 22.6 s in the original sludge to 134.5 ± 34.45 s. The specific resistance to filtration (SRF) was reduced from 8.82 ± 0.51 × 1012 m/kg in the original sludge to 4.59 ± 0.23 × 1012 m/kg. The modified straw fibers disruptively affected the structure of sludge EPS, significantly changing its content and composition. The proportion of tightly bound extracellular polymeric substances (T-EPS) in the sludge declined from 77–62% due to such modified fibers. Moreover, the protein and polysaccharide contents in soluble extracellular polymeric substances (S-EPS) and loosely bound extracellular polymeric substances (L-EPS) showed an increasing trend.
Pinoresinol targets NF-kB alongside STAT3 pathway to attenuate IL-6-induced inflammation
Authors: Dutta Anupam , Das Dorothy , Chakraborty Rituraj , Baruah Bhargab Jyoti , Sharma Manoj , Sharma Pushpa , Mattaparthi Venkata Satish Kumar , Mukhopadhyay Rupak 
Published: January 2024

Abstract
Dysregulated synthesis of IL-6 plays a critical role in inflammation-induced disease pathophysiology. IL-6 is known to induce NF-κB along with canonical JAK-STAT pathway, indicating the importance of cascade proteins of these two pathways as the targets of anti-inflammatory compounds. Here, we report the mechanism of downregulation of NF-κB and JAK-STAT pathways by pinoresinol, a plant lignan, in IL6-induced macrophages. Bioinformatic analysis revealed Pinoresinol, among 100 dietary polyphenols, as the most potent candidate to interact with the proteins in NF-κB and JAK-STAT pathways. Pinoresinol significantly abrogated IL-6-mediated activation of p65 NF-κB and STAT3 and their nuclear translocation in differentiated THP-1 cells. Remarkably, pinoresinol attenuated IL-6-mediated activation of NF-κB regulators, IKK and IκB-α and the degradation of the latter suggesting its critical role in inhibition of NF-kB pathway. The expressions of downstream genes of the two pathways, e.g. IL-1β, TNF-α, and COX-2 were also inhibited by pinoresinol. The polyphenol treatment also reduced the IL-6-mediated macrophage adhesion and migration, which was supported by the downregulation of VCAM-1, ICAM-1, MCP-1, MMP-9 and MMP-2. Our study highlights the mechanism of anti-inflammatory efficacy of pinoresinol in IL-6-induced differentiated macrophages.
Ustekinumab for the treatment of plaque psoriasis: A 6 -year real -life tertiary institution experience
Authors: HIZLI Pelin , KILIÇ Fatma Arzu , AKDAŞLI Jale Aylin 
Published: January 2024

Abstract
Background: Since the causative mechanism of psoriasis has an immunologic basis, various novel therapeutic agents selectively targeting abnormal immune responses were developed previously. This study aimed to present the 6-year follow-up of results of patients received ustekinumab for plaque psoriasis.
Methods: A 6-year real -life data of 80 patients with plaque psoriasis receiving ustekinumab were compiled from the medical archive of our tertiary institution retrospectively and presented.
Results: Eighty patients with psoriasis received ustekinumab [28 (35%) females and 52(65%) males, mean age: 50.7 ±14.1 (22-80) years] were included. Overall PASI75 response rate was 72.5% on 16th week, 82.5% on 28th week and 86.25% on 52nd week. The overall PASI90 response rate was 61.25% on 16th week, 73.75% on 28th week and 76.25% on 52nd week
Both PASI75 and PASI90 response rates did not significantly differ between naive and non-naive patients. The week of PASI75 and PASI90 achievement did not significantly differ between the patients between naive and non-naive patients, and between males and females. Both PASI75 and PASI90 achievement weeks were not significantly different between the patients with a baseline PASI of under and over 10. No severe side effect was detected.
Conclusions: Our 6-year real-life clinical experience we show the effectiveness and safety of ustekinumab in plaque psoriasis even biological naive and non -naive patients.
Machine-based counting of mitochondria in cells using immunohistochemical staining of formalin-fixed and paraffin-embedded sections
Authors: Sakashita Shingo , Sakashita Mai , Motoi Noriko , Yamamoto Gaku , Gambe Emi , Suzuki Masanori , Yoshida Yukihiro , Watanabe Shun-ichi , Takazawa Yutaka , Aoki Kazunori , Ochiai Atsushi 
Published: January 2024

Abstract
Purpose
Visualizing mitochondria in cancer cells from human pathological specimens may improve our understanding of cancer biology. However, using immunohistochemistry to evaluate mitochondria remains difficult because almost all cells contain mitochondria and the number of mitochondria per cell may have important effects on mitochondrial function. Herein, we established an objective system (Mito-score) for evaluating mitochondria using machine-based processing of hue, saturation, and value color spaces.
Methods
The Mito-score was defined as the number of COX4 (mitochondrial inner membrane) immunohistochemistry-positive pixels divided by the number of nuclei per cell. The system was validated using four lung cancer cell lines, normal tissues, and lung cancer tissues (199 cases).
Results
The Mito-score correlated with MitoTracker, a fluorescent dye used to selectively label and visualize mitochondria within cells under a microscope (R2 = 0.68) and with the number of mitochondria counted using electron microscopy (R2 = 0.79). Histologically, the Mito-score of small cell carcinoma (57.25) was significantly lower than that of adenocarcinoma (147.5, p < 0.0001), squamous cell carcinoma (120.6, p = 0.0004), and large cell neuroendocrine carcinoma (111.8, p = 0.002).
Conclusion
The Mito-score method enables the analysis of the mitochondrial status of human formalin-fixed paraffin-embedded specimens and may provide insights into the metabolic status of cancer.
Dyslipidemia versus Obesity as Predictors of Ischemic Stroke Prognosis: A Multi-Center Study in China
Authors: Ruan Hang , Ran Xiao , Li Shu-sheng , Zhang Qin 
Published: January 2024

Abstract
Background
This multicenter observational study aimed to determine whether dyslipidemia or obesity contributes more significantly to unfavorable clinical outcomes in patients experiencing a first-ever ischemic stroke (IS).
Methods
We employed a machine learning predictive model to investigate associations among body mass index (BMI), body fat percentage (BFP), high-density lipoprotein (HDL), triglycerides (TG), and total cholesterol (TC) with adverse outcomes in IS patients. Extensive real-world clinical data was utilized, and risk factors significantly linked to adverse outcomes were identified through multivariate analysis, propensity score matching (PSM), and regression discontinuity design (RDD) techniques. Furthermore, these findings were validated via a nationwide multicenter prospective cohort study.
Results
In the derived cohort, we assessed a total of 45,162 patients diagnosed with IS, where 522 experienced adverse outcomes. Our multifactorial analysis incorporating PSM and RDD methods identified TG (adjusted OR 95%CI, 1.110 (1.041–1.183), P < 0.01) and TC (adjusted OR 95%CI, 1.139 (1.039–1.248), P < 0.01) as risk factors. However, BMI, BFP, and HDL showed no significant effect. In the validation cohort, 1410 controls and 941 patients were enrolled—confirming that lipid levels are more strongly correlated with the prognosis of IS patients compared to obesity (TC, OR 95%CI, 1.369 (1.069–1.754), P < 0.05; TG, OR 95%CI, 1.332 (1.097–1.618), P < 0.01).
Conclusion
This study suggests that dyslipidemia has a more substantial impact on the prognosis of IS patients compared to obesity. This highlights the importance of prioritizing dyslipidemia management in the treatment and prevention of adverse outcomes in IS patients.
Vision Transformer-Based Multi-Phase Accident Detection and False Positive Mitigation
Authors: Jartarghar Uday , Sanghvi Devaj , Nidgundi Mehwish , Kumar Kanhaiya , Varur Sneha 
Published: January 2024

Abstract
The use of computer vision algorithms for real-time accident detection is a highly researched method to minimize delays in post-crash care. Various methods are adopted in the literature; However, based on our understanding, these methods are not sufficiently reliable in accurately detecting accidents, and there is a high occurrence of false accident detections. This paper aims to achieve precise accident detection while minimizing false positive detections. Our approach involves a four-phase framework that integrates vehicle detection and continuous tracking techniques, specifically utilizing the You Only Look Once (YOLO) and ByteTrack algorithms. Subsequently, we have developed a criterion for identifying abrupt change involving checking for overlap between vehicles and angle of collision, a potential accident indicator. During our third phase, we precisely determine the location of the accident within the sudden alteration frames. The fourth pivotal phase stands out, leveraging Vision Transformer (ViT), an encoder only model, to carefully eliminate fake accidents. Our methodology surpasses the typical use of Convolutional Neural Network (CNN)-based approaches by demonstrating a comprehensive integration of several deep learning techniques. The framework was evaluated on Real-World Surveillance videos with diverse conditions; The performance of proposed framework was found effective, outperforming the existing works.
Collaborative Optimization of Medical Supply Chains
Authors: J Shreehari , Suresh Arjun , V Arjith A 
Published: January 2024

Abstract
This project introduces a collaborative scheme and mathematical model to optimize the storage and distribution of medical products in a unified demand environment. Focusing on supply chain robust- ness and environmental impact, the model considers a unified demand scenario where medical institutions combine their orders. The proposed approach incorporates a predictive model for demand, evaluating various forecasting models and employing optimization techniques to minimize costs while meeting resilience and environmental constraints. The study emphasizes the importance of sustainability and adaptability in medical supply chains, paving the way for future enhancements in deep learning predictions and advanced storage optimization strategies.
Bubble rising near a vertical wall: Experimental characterization of paths and velocity
Authors: Estepa-Cantero Cecilia , Martínez-Bazán Carlos , Bolaños-Jiménez Rocío 
Published: January 2024

Abstract
The trajectories of a single bubble rising in the vicinity of a vertical solid wall are experimentally investigated. Distinct initial wall-bubble distances are considered for three different bubble rising regimes, i.e. rectilinear, planar zigzag, and spiral. The problem is defined by three control parameters, namely the Galilei number, Ga, the Bond number, Bo, and the initial dimensionless distance between the bubble centroid and the wall, L. We focus on high-Bond numbers, varying L from 1 to 4, and compare the results with the corresponding unbounded case L → ∞ . In all cases, the bubble deviates from the expected unbounded trajectory and migrates away from the wall as it rises due to the overpressure generated in the gap between the bubble and the wall. This repulsion is more evident as the initial wall-bubble distance decreases. Moreover, in the planar zigzagging regime, the wall is found to impose a preferential zigzagging plane perpendicular to it when L is small enough. Only slight wall effects are observed in the velocity or the oscillation amplitude and frequency. The wall migration effect is more evident for the planar zigzagging case and less relevant for the rectilinear one. Finally, the influence of the vertical position of the wall is also investigated. When the wall is not present upon release, the bubbles have the expected behavior for the unbounded case and experience the migration only instants before reaching the wall edge. This repulsion is, in general, more substantial than in the initially-present-wall case.
Influence of long-term land use and land cover (LULC) changes on soil loss, sediment export, and deposition in the ungauged Bontanga watershed
Authors: Mwanga Eliafie Wilson , Shaibu Abdul-Ganiyu , Issaka Zakaria 
Published: January 2024

Abstract

Soil loss due to surface runoff is a natural phenomenon accelerated by anthropogenic activities. The study attempted to evaluate soil loss, sediment export, and deposition as influenced by changes in land use and land cover (LULC) in the Bontanga watershed. The InVEST-SDR model integrated with RUSLE was used in soil loss assessment. Results revealed that agricultural land produced 11,365.39 tons/year of soil loss in 1997, followed by 17,476.85 tons/year in 2002. In 2013, agricultural land experienced a soil loss of 5,391.98 tons/year, which finally increased to 91,274.53 tons/year in 2022. Agricultural land exported 56.16% of sediment, 13.39% of dense forest, and 13.30% of grassland. Dense forest deposited 41.54% of the sediment load, 30.49% of mixed shrub and grassland, and 10.85% of grassland. Over a long period, agricultural land is anticipated to contribute soil loss of 2,347,414.04 tons/year and sediment export of 388,497.56 tons/year. Sediment deposition amounting to 1,048,258.78 tons/year is anticipated to be deposited within the agricultural field. Both MAE and MAPE statistical measurements indicate a good model prediction performance for soil loss and sediment export. Understanding where sediments are produced and delivered will guide decision-makers, land use planners, and watershed managers in monitoring and planning the Bontanga watershed.
Investigating improved drinking water quality at the point of access: Evidence from four regions of Indonesia
Authors: Irianti Sri , Sasto Iman Harisma Saleh , Mbarep Daniel Putra Pardamean , Dharmayanti Ika , Yunianto Andre , Zahra Zahra , Puspita Tities , Hidayangsih Puti Sari , Rachmat Basuki , Anwar Athena , Azhar Khadijah 
Published: January 2024

Abstract

To meet the Sustainable Development Goal (SDG) 6.1.1. indicator of the ‘proportion of the population using safely managed drinking water services (SMDWS)’, data on the state of drinking water quality in Indonesia is needed. Therefore, a cluster survey was conducted in 2019 to investigate the access to, availability of, and quality of drinking water from 870 improved drinking water sources (IDWS) in four regions. The methods involved sanitary inspection, assessment of household water management and water quality examination. Based on four levels of sanitary risks determined by World Health Organization (WHO), the IDWS in Sumatra had the highest percentage of sources categorised as `low-risk' among the four regions. The percentage of samples in compliance with the national standards for total coliforms and Escherichia coli was 21.49 and 42.64%, respectively. Moreover, the percentage of SMDWS was 35.9%, which was higher than the previous Indonesian surveys in 2015 and 2020. These findings indicate that bacteriological contamination was present in the IDWS and sanitary risk factors were a good predictor of drinking water quality. The study suggests that proper implementation of drinking water surveillance through sanitary inspection, water quality testing and remedial actions of non-piped water sources is imperative towards achieving SDG 6.1.1.
Hydrological assessment of the Gundlakamma sub-basin through SWAT modeling: integration of land use land cover (LULC) and climate changes
Authors: Sivakumar Babu K. V. , Achuthan Aravindan , Ahmad Shamshaad 
Published: January 2024

Abstract
Gundlakamma sub-basin faces challenges with increasing water demand and climate change impacts, requiring innovative solutions for sustainable water management. The study was conducted to improve the long-term utilization of water resources in Andhra Pradesh. To accomplish this, the study attempts to estimate LULC change detection and its impact on water resources by analyzing the performance of the soil and water assessment tool (SWAT) model. From 2005 to 2021, the amount of cropland decreased while built-up land increased, indicating urban growth. The SWAT model identifies hydrological processes and assesses the temporal and spatial distribution of water resources in the watershed. Statistical parameters results reveal that a good match was found between actual and modeled flows with Nash–Sutcliffe efficiency (NSE) and coefficient of determination (R2) greater than 0.75 for both calibration and validation periods. The area has average annual precipitation, surface runoff, water yield, and actual evapotranspiration of 949.96, 215.6, 469.24, and 429.15 mm, respectively. The SWAT model's fascinating outcomes demonstrate that it could be a promising decision support tool for predicting water balance and water yield in other watersheds of Andhra Pradesh for sustainable water management of water resources where water quality and quantity are critical issues.