bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shared bottleneck detection based decoupled congestion control for multipath TCP in wireless networks
Authors: Xie Guannan , Chen Huifang , Xie Lei , Wang Kuang 
Published: August 2024

Abstract

Multipath TCP (MPTCP) can aggregate the bandwidth of all connected paths, providing high data rate and transmission reliable service in wireless networks, especially for video streaming. To avoid network congestion and be fair to TCP users, extending the single-path congestion control to multipath has become a hot research issue in MPTCP. Because coupled multipath congestion control dominates existing MPTCP strategies, we analyze four classic coupled congestion control algorithms from the perspective of bandwidth competition, indicating that they can only achieve trade-off between the aggregate throughput and fairness on the shared bottleneck. Some shared bottleneck detection based MPTCP congestion control strategies fully utilize the available bandwidth on non-bottleneck links, but being unfair to legacy TCP compared to the coupled algorithms. This motives us to propose a new Shared bottleneck Detection based Decoupled Congestion Control (SD-DCC) scheme, which includes a more applicable shared bottleneck detection method and more suitable decoupled congestion control strategy in consideration of the wireless link conditions. The performance of our proposed SD-DCC scheme is evaluated through extensive simulations, which demonstrates that the SD-DCC scheme achieves better transmission performance to meet the requirements of video streaming services, while keeping fairness to legacy TCP users.
High prevalence of malnutrition in geriatric patients with solid organ cancer: An institutional study
Authors: Shriwastav Ujjawal Kumar , Sundriyal Deepak , Khanna Mridul , Sunny Neethu , Sehrawat Amit , Dhar Minakshi 
Published: August 2024

Abstract

Objectives
The demographic transition towards aging heralds an increase in the number of geriatric patients with cancer in India. Comprehensive geriatric assessment (CGA) is a sine qua non for the treatment planning and shared decision-making in this group of patients. We aimed to study the prevalence of malnutrition and the associated risk factors in geriatric patients with solid organ cancer (SOC).
Methods
In this observational study, geriatric patients with cancer and naïve to systemic anti-cancer therapy underwent CGA. was We performed a Mini nutritional assessment (MNA) to diagnose malnutrition status. Data analysis was done using descriptive statistics, Pearson Chi-Square, Spearman correlation, and multivariable regression analysis to assess the factors associated with malnutrition.
Results
One hundred and forty-two patients were included in the analysis. The median age was 67 (range 60–88) years, with a male preponderance (73.2%) and a stage IV (75.4%) disease. The majority of the patients, 91.6% (n = 130), had abnormal MNA scores during CGA. Nearly 1/3rd of the subjects, 35.2% (n = 50), were underweight (Body-mass index < 18.5 Kg/m2). Poor performance status was seen in 30.3% of the subjects. Poor appetite (79.6%) was the most common risk factor, followed by addictions (73.1%), chronic constipation (35.9%), and polypharmacy (21.8%). Cognitive impairment and depression were seen in 35.2% and 57.1% of the subjects, respectively. The study found a significant correlation of MNA with age (p = 0.048), depression (P < 0.001), PS (P < 0.001), functional decline (P < 0.001), and cognition (P < 0.001).
Conclusions
There exists a widespread prevalence of malnutrition and amenable risk factors in geriatric cancer patients. Nutritional assessment is essential, and interventions should be implemented to improve clinical outcomes.
City life does not change a small mammal community composition
Authors: Rimbach Rebecca , Heinze Kerrin , Poorthuis Lars , Petit Jules , Dammhahn Melanie 
Published: August 2024

Abstract

Urbanization is a known widespread phenomenon with profound forms of land use changes. Urban areas are characterized by habitat fragmentation and the replacement of natural habitat by human-made structures impacting various environmental conditions (e.g., natural resources, light and noise level, temperature) and transforming wildlife communities. The overall effect of urbanization on wildlife communities can differ between taxa, although most results suggest an overall decrease of species abundance and evenness in urbanized areas. In this study, we analyzed 25,982 photos from a camera trap survey in 33 gardens in the city of Münster, Germany. Our goal was to investigate if community composition, species diversity and evenness, and species co-occurrence patterns of terrestrial small mammals change as a function of impervious surface cover. Eight taxa were recorded and Apodemus spp. predominated (73.8%) the captured photos. We found that community composition, species diversity and evenness do not change along the urbanization gradient (i.e., impervious surface cover). In addition, we observed mainly neutral associations between species, although one trend for a positive association between Myodes glareolus and Crocidura spp., and two trends for negative associations between Apodemus spp. and Crocidura spp., and Rattus norvegicus and Sciurus vulgaris were discernable. Overall, our results suggest that this small mammal community is not impacted by urbanization. The small mammal species community of Münster is likely the result of generalist species expressing high phenotypic plasticity to bypass the urban filters explaining our overall neutral results. Further studies will be needed to address whether our findings for this small mammal species community are generalizable to multiple cities in Europe.
MWMOTE-FRIS-INFFC：An Improved Majority Weighted Minority Oversampling Technique for Solving Noisy and Imbalanced Classification Datasets
Authors: ZHANG Dong , HUANG XIANG , LI GEN , KONG SHENGJIE , DONG LIANG 
Published: August 2024

Abstract

The utilization of high-noise unbalanced data poses significant challenges. In order to address this issue, an Enhanced Majority Weighted Minority Oversampling Technique is introduced, named MWMOTE-FRIS-INFFC, which specifically tackles noisy and imbalanced classification datasets. This approach leverages Euclidean distance for the allocation of sample weights, synthesizes, and incorporates novel samples into those of greater weights but belonging to minority classes, thereby addressing the data scarcity within smaller class clusters. Subsequently, the application of the fuzzy rough instance (FRIS) selection methodology eliminates a subset of synthetic minority samples exhibiting low cluster membership, effectively mitigating the overfitting tendency associated with synthetic oversampling of minority samples. Furthermore, the integration of the classification fusion iterative filter (INFFC) serves to mitigate synthetic noise issues, including both original and synthesized data noise. Following this, a series of experiments are designed to enhance the performance of six oversampling algorithms across eight datasets, utilizing the proposed MWMOTE-FRIS-INFFC algorithm.
Combinatorial Chance-constrained Economic Optimization of Distributed Energy Resources
Authors: Sager Jens , Nieße Astrid 
Published: August 2024

Abstract

The transformation of the energy system towards sustainable energy sources is characterized by an increase in weather dependent distributed energy resources (DER).
This adds a layer of uncertainty in energy generation on top of already uncertain load distribution.
At the same time, many households are fitted with renewable generation units and storage systems.
The increased intermittent generation in the distribution grid leads to new challenges for the commitment and economic dispatch of DER.

The main challenge addressed in this work is to decide which available resources to select for a given task.
To solve this, we introduce Stochastic Resource Optimization (SRO), a combinatorial chance-constrained optimization problem for the economic selection of stochastic DER.
In this mode, correlations between stochastic resources are based on copula theory which has been used in many recent works on the modeling of stochastic load and generation.

The contributions of this paper are twofold:
First, we validate the applicability of the SRO formulation on a simplified congestion management use-case in a small neighbourhood grid comprised of prosumer households.
Second, we provide an analysis of the performance of different solving algorithms for SRO problems and their run-times.
Our results show that a fast metaheuristic algorithm can provide high quality solutions in acceptable time on the evaluated problem sets.
Design of Phased Array Radar Signal Processor based on Multi-core DSP
Authors: Li Jianwu , Yang Dong , Wang Chaoyue , Li Jingwen , Zhang Hao , Li Xiaoran , Wang Xinghua 
Published: August 2024

Abstract

Aircraft phased array radar systems using planar arrays have larger detection areas and higher target detection efficiency, but also require larger real-time computational resources and more complex resource scheduling algorithms to support them. In this paper, based on the multi core Digital Signal Proces-sor (DSP) signal processing hardware platform, the target identification, de-tection, ranging and angular measurement of the radar signal after pulse-pressure, as well as based on multi-frequency waveforms to complete the airspace search for far, medium and near range targets, target interception and tracking. In this manuscript, the multi-core deployment of moving targets detection (MTD) algorithm is realized by using Fast Fourier Transformation (FFT) filter scheme, and the acceleration ratio of 8.22 times is obtained com-pared with that of single-core. The multi core deployment of the Constant False Alarm Rate(CFAR) algorithm is achieved using three different strate-gies, namely, the Greatest of CFAR algorithm (GO\_CFAR), the Smallest of CFAR algorithm (SO\_CFAR), and the Mean Level CFAR algorithm, and achieves a speedup ratio of 19.61 times as compared to that of a single core. Finally, the internal and exter nal field tests are conducted, and excellent re-sults of the internal and external flight following test verification are ob-tained. The experiments show that the proposed design has better azimuth and pitch angle accuracy compared with others.
The development and destruction of foreland structures in the South Yellow Sea basin during the collision between the North China and South Block
Authors: Xu Ming , Chen Jianwen , Lan Haoyuan , Ji Huili , Yuan Yong , Liang Jie , Wang Jianqiang , Meng Lingdong 
Published: August 2024

Abstract

The South Yellow Sea Basin is the extension of the Yangtze Plate, which is regarded as the main part of Lower Yangtze block. The basin had suffered several episodes of tectonic movements, in which the Indosinian movement caused by the collision of the North and South China Plates had modified critically the basin. The Indosinian movement had vital influence on the structural and sedimentary features, basin modification and evolution of the South Yellow Sea Basin. We had analyzed the deformation and the differences in three secondary tectonic units. In the 2D seismic data, the Indosinian movement had resulted in the opposite thrust structures, in which the Northern Depression developed the strongest deformation. Based on the sediment distribution, deformation strength, formation preservation, we had proposed a new foreland basin model for the South Yellow Sea Basin. The Northern Depression could be recognized as orogenic front, the intense compressional structures caused the largest amount of erosion in three units. The Middle Uplift had foreland depositions developed corresponding to the foredeep of foreland basin. The new model has important scientific significance and application value to promote the investigation and exploration of oil and gas resources in this area.
Netarsudil v/s Ripasudil: The Battle of Supremacy between two ROCKS-I (Rho kinase Inhibitors)
Authors: Juneja Riddhima , Khan Taskin , Gupta Vishnu Swarup , Chaudhary Niharika 
Published: August 2024

Abstract

PURPOSE
To compare the intraocular pressure (IOP) lowering effect and safety of topical netarsudil 0.02% once daily with topical ripasudil 0.4% twice daily in primary open angle glaucoma (POAG) patients.
METHODS
A prospective, comparative, randomized study conducted on 140 eyes of patients diagnosed to have POAG, in a tertiary care hospital of Northern India. Patients divided into groups, A and B in a 1:1 ratio and were treated with ripasudil 0.4% or netarsudil 0.02% respectively and followed up. The mean diurnal IOP noted at 3rd week and 3rd month comparing it from baseline values, with their side effects.
RESULTS
At 3rd month, mean diurnal IOP for ripasudil 0.4% group ranged from 19.22 to 20.69 mmHg whereas for netarsudil group it was 17.11 to 18.47mmHg, an intergroup statistically significant difference in IOP of 2.3mmHg (p˂0.0001) noted. At 3rd month the difference from baseline was 2.77 mmHg (p = 0.048) for ripasudil and 4.64 mmHg (p = 0.001) for netarsudil. At the end of 3 months the adverse events were seen less in group B than group A (59.8% and 66.7% respectively. Eye irritation followed by conjunctival hyperemia was seen. Overall incidence of adverse events was 32.9% and 44.3% for topical netarsudil and ripasudil respectively.
CONCLUSION
Topical netarsudil 0.02% once daily was well tolerated with fewer side effects and in reducing IOP than topical ripasudil 0.4% twice daily dosing in POAG patients. Netarsudil 0.02% once daily may be considered an important option for the IOP control in POAG.
Moringa Dried Leaf Extract as Bio-Foliar Fertilizer for Revitalizing Performance and Nutritional Status of Soybean
Authors: Irshad Sohail , Matloob Amar , Mehmood Kashf , Nawaz Muhammad , Iqbal Shahid , Wahid Muhammad Ashfaq , Ikram Rao Muhammad , Ghafoor Muhammad Atif , Alamri Saud , Khan Shahbaz 
Published: August 2024

Abstract

Naturally occurring plant based biostimulants can be used to improve crop productivity and quality as an eco-friendly approach. Moringa oleifera, known as the miracle tree, is a rich source of essential nutrients and beneficial compounds that can act as potent growth enhancer. The current work aimed to appraise whether moringa dried leaf extract (MDLE) could improve growth, physiology, seed nutritional and quality attributes of soybean. The designed study followed a completely randomized design (CRD) with factorial arrangement having four replications examining various MDLE concentrations [water spray as control, 0.5%, 1.0%, and 1.5% (w/v)] and growth stages (vegetative and reproductive) of soybean. The results revealed that foliar application of 1.5% MDLE during the reproductive stage of soybean showcased remarkable enhancements. Notably, seedling growth metrics, photosynthetic pigments, leaf area, gas exchange parameters, yield attributes, seed nutritional and quality attributes were significantly boosted. Overall, a noteworthy increase in seedling growth metrics (22%), carotenoids (8.33%), gas exchange attributes (18%), yield components (37%) and seed nutritional attributes (18%) was observed with 1.5% MDLE application during the reproductive stage. This underscores the potential of MDLE foliar application during reproductive stage in improving soybean growth, quality and seed nutritional contents.
KLF2 determines the susceptibility of T cells to immunoregulatory NK cells.
Authors: Waggoner Stephen , Cox Andrew , Canaday Laura , Katko Alexander , Feldman Harrison , Warrick Kathrynne , Tselikova Anastassia , Seelamneni Harsha , Roskin Krishna 
Published: August 2024

Abstract

Natural killer (NK) cells suppress cellular and humoral immune responses via killing of T cells, resulting in diminished vaccine responses in mice and humans. Efforts to overcome this roadblock and achieve optimal immunity require an improved understanding of the molecular mediators facilitating NK cell-targeting of discrete subsets of CD4 T cells. We employed single-cell forensic victimology and CRISPR-Cas9 editing to delineate a transcriptional program uniquely responsible for the susceptibility of a subpopulation of CD4 T cells to perforin-dependent immunoregulation by NK cells. The unique vulnerability of these CD4 T cells relative to other subsets of CD4 T cells was not associated with a pattern of NK-cell-receptor ligand expression that would favor activation of NK cells. Instead, susceptible CD4 T cells were skewed toward follicular helper T cell (Tfh) differentiation and exhibited intermediate expression of Klf2 and a related suite of KLF2-target genes (e.g. S1pr1) involved in cell migration and spatial positioning. NK-cell dependent suppression of the subset of Tfh exhibiting intermediate expression of KLF2 and S1PR1 was confirmed with single-cell proteomics. CRISPR targeting of KLF2 in CD4 T cells prevented suppression by NK cells. Thus, KLF2 regulation of spatial positioning of T cells is a key determinant of NK-cell immunoregulatory function and a possible target for strategies to enhance vaccine efficacy.
Molecular Dynamics Simulations of Au-Pt Alloy Nanowires:
Effects of Strain Rate, Temperature, and Composition
Authors: Guha Souvik , Guha Sirshendu 
Published: August 2024

Abstract

The mechanical properties exhibited by nanostructures of a metal alloy are significantly different from those exhibited by the same alloy in the bulk state. Molecular dynamics is a powerful simulation method to analyze the properties of metal alloy nanostructures. In this work, yield stress, elastic modulus, and modulus of resilience of Au-Pt alloy nanowires are studied using molecular dynamics, and how the temperature, the alloy composition, and the strain rate at which the nanowires are subjected to tension affect these properties have been analyzed. Results demonstrate that yield stress, elastic modulus, yield strain, and resilience modulus, deteriorate with temperature irrespective of applied strain rates of 0.0002 ps-1 and 0.02 ps-1. At low strain rates, the deformation mechanism involves cyclical yielding and recrystallization, whereas higher strain rates cause amorphization of the crystal structure. Increased strain rate causes higher yield stress, higher modulus of resilience, and lower modulus of elasticity. It is found that alloy nanowires with higher Au concentrations generally show a reduction in all mechanical properties. We observed that Au75Pt25, and Au50Pt50 nanowires yield just after commencement of elongation at 600K. Simulation results indicate that the absolute value of the potential energy of pure Au after conjugate-gradient minimization and thermal equilibration at 300K is the lowest whereas the absolute value of the potential energy of pure Pt is the highest at the same conditions. The simulation also shows that as the percentage of Pt increases in Au-Pt alloys, the absolute value of potential energy increases at the same conditions.
Circulating Proteomic Profiles in Women with Morbid Obesity Compared to Normal-Weight Women
Authors: Bertran Laia , Rusu Elena Cristina , Guirro Maria , Aguilar Carmen , Auguet Teresa , Richart Cristóbal 
Published: August 2024

Abstract

In this study, we aimed to evaluate circulating proteomic levels in women with morbid obesity (MO) compared to normal-weight (NW) women. Moreover, we have compared the proteomic profile between women with metabolically healthy (MH) MO and those with type 2 diabetes mellitus (T2DM). The study included 66 normal-weight (NW) women and 129 women with MO (54 MH and 75 with T2DM). Blood samples were processed for proteomics, involving protein extraction, quantification, digestion with peptide labelling and NanoLC-(Orbitrap)MS/MS analysis. Statistical analyses were performed. We identified 257 proteins. Women with MO showed significantly increased levels of 35 proteins and decreased levels of 45 proteins compared to NW women. Enrichment analysis of metabolic pathways revealed significant findings. Women with MO have an altered proteomic profile compared to normal-weight women, involving proteins significantly related to chylomicron assembly, complement cascade, clotting pathways and the insulin growth factor system. Regarding women with MO and T2DM compared to MHMO women, the proteomic profile shows alterations in mostly the same pathways associated with obesity. These findings confirmed in previous reports can help us better understand the pathophysiology of obesity and associated diseases.
Women's toilet use behaviors and water use in a urine diversion squat pan toilet pilot
Authors: Morrison Laura , Milliken Caleb , Shurgot Mara , Grego Sonia , Rajamanickam Saranya , Ramalingam Sudha 
Published: August 2024

ABSTRACT

Understanding user behavior is critical to the adoption of technology; however, there is a paucity of data related to gender-specific sanitation practices and water-use patterns in toilet use despite the global imperative to increase attention toward the needs of women and girls. This user-focused study sought to understand the role of women's behavior related to the urine diversion performance of a novel toilet design. Forty-one female users of urine diversion toilets installed in two shared bathroom sites in Coimbatore, India, were surveyed about their behavior during toilet use. About 32% of respondents reported behaviors that reduce urine separation efficiency in this system, including aiming urine directly into the hole of the squat pan instead of the ceramic surface (15%); facing backwards (12%); squatting only part way down (7%); and pouring water onto the pan while urinating (5%). Separately, 88% of respondents use available water to clean the floor around the toilet, a practice that may alter the relative volumes of generated blackwater and graywater. These findings may aid the design of future sanitation solutions. Most respondents did not identify the specific toilet design as different from conventional ones, suggesting that these behaviors may apply to broader use cases.
DIGITALISASI SEKTOR UMKM DAN DAMPAKNYA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA
Authors: Ikhlaszul Ammar , Satria Dias 
Published: August 2024

Digital marketing communications can be the key to optimizing a business. If MSMEs can develop a digital marketing communication strategy, it is part of the adaptation to survive and thrive in the current situation. In addition, the use of technology makes it easier for businesses to gain market share and consumers. With this being one of the concerns in this study. To find out which indicators of SMEs and technologies can influence the increase in economic growth in Indonesia so that MSME business actors can develop so as to increase national economic growth. By paying attention to this, it can be concluded later that how the MSME business should be developed and able to increase economic growth. By conducting multiple linear regression analysis to find out the development of MSMEs which can influence national economic growth with important aspects that are able to develop MSME businesses to increase economic growth. The results showed that there was influence from each indicator of MSME and technology on the six variables of this study. Overall, each research variable influences economic growth. While partially there is a significant influence both positive and negative.
Dengan melakukan analisis regresi linear berganda untuk mengetahui perkembangan UMKM yang dapat memengaruhi pertumbuhan ekonomi nasional dengan aspek penting yang mampu mengembangkan bisnis UMKM untuk meningkatkan pertumbuhan ekonomi. Hasil penelitian menunjukkan bahwa terdapat pengaruh dari setiap indikator UMKM dan teknologi pada keenam variabel penelitian ini. Secara keseluruhan setiap variabel penelitian berpengaruh terhadap pertumbuhan ekonomi. Sedangkan secara parsial terdapat pengaruh yang signifikan baik itu positif maupun negatif.