bluuebunny/crossref_metadata_2025_split huggingface dataset:
ACEH DAN PERDAGANGAN DI SELAT MALAKA
Authors: Rambe Yasir Maulana 
Published: November 2023

Aceh merupakan sebuah daerah yang telah menjadi maestro perdagangan pada masa niaga di kawasan Nusantara dan Asia Tenggara. Perdagangan yang menjadi jiwa pada masa lampau telah membawa Aceh kepada masa kejayaan dan keemasannya. Penelitian ini menggunakan metode historis yang terdiri dari empat tahapan yakni, Heuristik ( Pengumpulan sumber/Data), Verifikasi ( Kritik Sumber), Interpretasi dan Historiografi. Selat Malaka telah lama menjadi sebuah pionir dalam jalur perdagangan dunia. Selat Malaka merupakan sebuah jalur yang sangat strategis karena menjadi penghubung antara para pedagang yang hendak atau dari Asia Tenggara menuju kawasan lain seperti India, Timur Tengah, Cina, bahkan Eropa sekalipun. Wilayah Aceh sendiri sudah lama dikenal sejak dahulu kala sebagai tempat perdagangan dikawasan Selat Malaka. Perkenalan dengan Aceh tersebut merupakan sebuah hubungan dagang yang memperlihatkan bagaimana peran terkenalnya nama Aceh terutama dikalangan para pedagang-pedagang, bukan hanya dikalangan para pedagang yang berasal dari Timur Tengah, namun juga pedagang yang berasal dari Cina, India atau bahkan Eropa.
PENGARUH PROFITABILITAS, LIKUIDITAS, LEVERAGE, DAN UKURAN PERUSAHAAAN TERHADAP FINANCIAL DISTRESS
Authors: Aullia Citra , Lisiantara G Anggana 
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pengaruh profibilitas, likuiditas, leverage, dan ukuran perusahaan terhadap financial distress. Subyek riset ialah perusahaan manufaktur subsektor barang konsumsi yang tercatat pada BEI tahun 2018-2021. Sampel yang dipakai pada riset berikut ialah diambil melalui pemakaian metode purposive sampling. Penelitian menggunakan jenis penelitian kuantitatif dengan metode pengujian hipotesa pada riset berikut memakai analisa regresi logistik. Penelitian dilakukan dari pengambilan data dan analisa data selama satu bulan dari bulan Desember 2022 sampai Januari 2023. Uji Kelayakan Model Regresi (Goodness-of-Fit Test) dinilai melalui penggunaan uji kecocokan Hosmer and Lemeshow yang diukur melalui nilai chi-square serta Cox and Snell’s R Square and Nagelkerke’s R Square serta dilakukan uji coba hipotesis guna mengukur pengaruh dengan cara parsial antara variabel bebas pada variabel terikat. Hasil penelitian yang dilakukan dari pengujian hipotesis didapatkan bahwa variabel profitabilitas tidak berdampak pada financial distress. Variabel likuiditas tidak berdampak pada financial distress. Variabel leverage signifikansinya berdampak positif pada financial distress. Serta variabel ukuran perusahaan tidak berdampak pada financial distress.
PENGARUH KEBIJAKAN DIVIDEN, KEPUTUSAN INVESTASI, PROFITABILITAS TERHADAP NILAI PERUSAHAAN
Authors: Sa'adah Lailatus , Putri Sisdila Via Engelita , Usry Abdul Kadir 
Published: November 2023

Penelitian ini bertujuan untuk menguji Pengaruh Kebijakan Dividen, Keputusan Invetasi, Profitabilitas Terhadap Nilai Perusahaan (Pada Perusahaan Sub Sektor Kimia yang terdaftar pada Bursa Efek Indonesia BEI Periode 2016-2019). Metode penelitian yang digunakan yakni metode penelitian kuantitatif. Sampel dalam penelitian ini adalah 8 perusahaan sub sektor kimia yang go public. Metode pengumpulan data yang digunakan pada penelitian ini adalah metode dokumentasi dari data sekunder. Metode analisis data yang digunakan pada penelitian ini adalah menggunakan analisis regresi linier berganda dengan bantuan program SPSS (Statistic Product and Service Solution). Berdasarkan hasil penelitian menunjukkan bahwa Kebijakan dividen (DPR) tidak berpengaruh terhadap nilai perusahaan, Keputusan investasi (PER) berpengaruh terhadap nilai perusahaan, dan Profitabilitas (ROA) berpengaruh terhadap nilai perusahaan.
Software pipelines for RNA-Seq, ChIP-Seq and germline variant calling analyses in common workflow language (CWL)
Authors: Kyritsis Konstantinos A. , Pechlivanis Nikolaos , Psomopoulos Fotis 
Published: November 2023

Background: Automating data analysis pipelines is a key requirement to ensure reproducibility of results, especially when dealing with large volumes of data. Here we assembled automated pipelines for the analysis of High-throughput Sequencing (HTS) data originating from RNA-Seq, ChIP-Seq and Germline variant calling experiments. We implemented these workflows in Common workflow language (CWL) and evaluated their performance by: i) reproducing the results of two previously published studies on Chronic Lymphocytic Leukemia (CLL), and ii) analyzing whole genome sequencing data from four Genome in a Bottle Consortium (GIAB) samples, comparing the detected variants against their respective golden standard truth sets.Findings: We demonstrated that CWL-implemented workflows clearly achieved high accuracy in reproducing previously published results, discovering significant biomarkers and detecting germline SNP and small INDEL variants.Conclusion: CWL pipelines are characterized by reproducibility and reusability; combined with containerization, they provide the ability to overcome issues of software incompatibility and laborious configuration requirements. In addition, they are flexible and can be used immediately or adapted to the specific needs of an experiment or study. The CWL-based workflows developed in this study, along with version information for all software tools, are publicly available on GitHub (https://github.com/BiodataAnalysisGroup/CWL_HTS_pipelines) under the MIT License. They are suitable for the analysis of short-read (such as Illumina-based) data and constitute an open resource that can facilitate automation, reproducibility and cross-platform compatibility for standard bioinformatic analyses.
Cold physical plasma treatment optimization for improved bone allograft processing
Authors: Fischer Maximilian , Bortel Emely , Schoon Janosch , Behnke Einar , Hesse Bernhard , Weitkamp Timm , Bekeschus Sander , Pichler Monika , Wassilew Georgi I. , Schulze Frank 
Published: November 2023

In musculoskeletal surgery, the treatment of large bone defects is challenging and can require the use of bone graft substitutes to restore mechanical stability and promote host-mediated regeneration. The use of bone allografts is well-established in many bone regenerative procedures, but is associated with low rates of ingrowth due to pre-therapeutic graft processing. Cold physical plasma (CPP), a partially ionized gas that simultaneously generates reactive oxygen (O2) and nitrogen (N2) species, is suggested to be advantageous in biomedical implant processing. CPP is a promising tool in allograft processing for improving surface characteristics of bone allografts towards enhanced cellularization and osteoconduction. However, a preclinical assessment regarding the feasibility of pre-therapeutic processing of allogeneic bone grafts with CPP has not yet been performed. Thus, this pilot study aimed to analyze the bone morphology of CPP processed allografts using synchrotron radiation-based microcomputed tomography (SR-µCT) and to analyze the effects of CPP processing on human bone cell viability and function. The analyzes, including co-registration of pre- and post-treatment SR-µCT scans, revealed that the main bone morphological properties (total volume, mineralized volume, surface area, and porosity) remained unaffected by CPP treatment if compared to allografts not treated with CPP. Varying effects on cellular metabolic activity and alkaline phosphatase activity were found in response to different gas mixtures and treatment durations employed for CPP application. It was found that 3 min CPP treatment using a He + 0.1% N2 gas mixture led to the most favourable outcome regarding a significant increase in bone cell viability and alkaline phosphatase activity. This study highlights the promising potential of pre-therapeuthic bone allograft processing by CPP prior to intraoperative application and emphasizes the need for gas source and treatment time optimization for specific applications.
A nomogram for predicting recurrence in endometrial cancer patients: a population-based analysis
Authors: Miao Mengdan , Zhu Yanping , Wang Lulu , Miao Yifei , Li Rong , Zhou Huaijun 
Published: November 2023

ObjectiveEndometrial cancer recurrence is one of the main factors leading to increased mortality, and there is a lack of predictive models. Our study aimed to establish a nomogram predictive model to predict recurrence in endometrial cancer patients.MethodScreen 517 endometrial cancer patients who came to Nanjing Drum Tower Hospital from 2008 to 2018. All these data are listed as the training group, and then 70% and 60% are randomly divided into verification groups 1 and 2. Univariate, Multivariate logistic regression, stepwise regression were used to select variables for nomogram. Nomogram identification and calibration were evaluated by concordance index (c-index), area under receiver operating characteristic curve (AUC) over time and calibration plot Function. By decision curve analysis (DCA), net reclassification index (NRI), integrated discrimination improvement (IDI), we compared and quantified the net benefit of nomogram and ESMO-ESGO-ESTRO model-based prediction of tumor recurrence.ResultsA nomogram predictive model of endometrial cancer recurrence was established with the eight variables screened. The c-index (for the training cohort and for the validation cohort) and the time-dependent AUC showed good discriminative power of the nomogram. Calibration plots showed good agreement between nomogram predictions and actual observations in both the training and validation sets.ConclusionsWe developed and validated a predictive model of endometrial cancer recurrence to assist clinicians in assessing recurrence in endometrial cancer patients.
Predicting survival of patients with bone metastasis of unknown origin
Authors: Ren Ying , Qian Shengjun , Xu Guoping , Cai Zhenhai , Zhang Ning , Wang Zhan 
Published: November 2023

PurposeBone metastasis of unknown origin is a rare and challenging situation, which is infrequently reported. Therefore, the current study was performed to analyze the clinicopathologic features and risk factors of survival among patients with bone metastasis of unknown origin.Patients and methodsWe retrospectively analyzed the clinical data for patients with bone metastasis of unknown origin between 2010 and 2016 based on the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival (OS) and cancer-specific survival (CSS) were first analyzed by applying univariable Cox regression analysis. Then, we performed multivariable analysis to confirm independent survival predictors.ResultsIn total, we identified 1224 patients with bone metastasis of unknown origin for survival analysis, of which 704 males (57.5%) and 520 females (42.5%). Patients with bone metastasis of unknown origin had a 1-year OS rate of 14.50% and CSS rate of 15.90%, respectively. Race, brain metastasis, liver metastasis, radiotherapy, and chemotherapy were significant risk factors of OS on both univariable and multivariable analyses (p &lt;0.05). As for CSS, both univariable and multivariable analyses revealed that no brain metastasis, no liver metastasis, radiotherapy, and chemotherapy were associated with increased survival (p &lt;0.05).ConclusionPatients with bone metastasis of unknown origin experienced an extremely poor prognosis. Radiotherapy and chemotherapy were beneficial for prolonging the survival of those patients.
Lipidomics profiles of human spermatozoa: insights into capacitation and acrosome reaction using UPLC-MS-based approach
Authors: Cheng Xiaohong , Xie Haifeng , Xiong Yuping , Sun Peibei , Xue Yamei , Li Kun 
Published: November 2023

IntroductionLipidomics elucidates the roles of lipids in both physiological and pathological processes, intersecting with many diseases and cellular functions. The maintenance of lipid homeostasis, essential for cell health, significantly influences the survival, maturation, and functionality of sperm during fertilization. While capacitation and the acrosome reaction, key processes before fertilization, involve substantial lipidomic alterations, a comprehensive understanding of the changes in human spermatozoa's lipidomic profiles during these processes remains unknown. This study aims to explicate global lipidomic changes during capacitation and the acrosome reaction in human sperm, employing an untargeted lipidomic strategy using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS).MethodsTwelve semen specimens, exceeding the WHO reference values for semen parameters, were collected. After discontinuous density gradient separation, sperm concentration was adjusted to 2 x 106 cells/ml and divided into three groups: uncapacitated, capacitated, and acrosome-reacted. UPLC-MS analysis was performed after lipid extraction from these groups. Spectral peak alignment and statistical analysis, using unsupervised principal component analysis (PCA), bidirectional orthogonal partial least squares discriminant analysis (O2PLS-DA) analysis, and supervised partial least-squares-latent structure discriminate analysis (PLS-DA), were employed to identify the most discriminative lipids.ResultsThe 1176 lipid peaks overlapped across the twelve individuals in the uncapacitated, capacitated, and acrosome-reacted groups: 1180 peaks between the uncapacitated and capacitated groups, 1184 peaks between the uncapacitated and acrosome-reacted groups, and 1178 peaks between the capacitated and acrosome-reacted groups. The count of overlapping peaks varied among individuals, ranging from 739 to 963 across sperm samples. Moreover, 137 lipids had VIP values &gt; 1.0 and twenty-two lipids had VIP &gt; 1.5, based on the O2PLS-DA model. Furthermore, the identified twelve lipids encompassed increases in PI 44:10, LPS 20:4, LPA 20:5, and LPE 20:4, and decreases in 16-phenyl-tetranor-PGE2, PC 40:6, PS 35:4, PA 29:1, 20-carboxy-LTB4, and 2-oxo-4-methylthio-butanoic acid.DiscussionThis study has been the first time to investigate the lipidomics profiles associated with acrosome reaction and capacitation in human sperm, utilizing UPLC-MS in conjunction with multivariate data analysis. These findings corroborate earlier discoveries on lipids during the acrosome reaction and unveil new metabolites. Furthermore, this research highlights the effective utility of UPLC-MS-based lipidomics for exploring diverse physiological states in sperm. This study offers novel insights into lipidomic changes associated with capacitation and the acrosome reaction in human sperm, which are closely related to male reproduction.
Diabetic foot problem in Nepal
Authors: Baral Suman , Rajbhandari Satyan 
Published: November 2023

IntroductionNepal is a developing country where diabetes is becoming a major health challenge due to its high prevalence of 8.5% affecting around 2 million people. Due to limited resources, there are many barriers to providing affordable and convenient diabetes care or regular screening for complications. There is no reliable data on incidence, prevalence, and complications of diabetic foot problems in Nepal.MethodsWe conducted an online survey amongst senior physicians, who were members of ‘Diabetes &amp; Endocrine Association of Nepal’ to assess their perception of diabetic foot problems in Nepal.ResultsThirty-Eight physicians responded to the survey who saw a total of 17597 patients in the preceding month. They recalled seeing 647 with 'Diabetic Foot Ulcers', giving a crude Diabetic Foot Ulcer prevalence rate of 3.7%. They recalled seeing 2522 patients with painful neuropathy that required medical treatment, giving a crude painful neuropathy prevalence rate of 14.3%. A history of foot ulcer was present in an additional 578 patients. Previous minor amputation had been performed in 215 patients (1.2%) and major amputation in 135 patients (0.8%).DiscussionDespite having expertise in various fields there is no dedicated multi-disciplinary diabetic foot clinic in Nepal. This survey shows that diabetic foot problems are abundant in Nepal and there is a need for structured multi-disciplinary approach for screening and treatment.
Indices of sarcopenic obesity are important predictors of finite element analysis-derived bone strength in older adults with obesity
Authors: Gregori Giulia , Paudyal Arjun , Barnouin Yoann , Celli Alessandra , Segoviano-Escobar Martha Belen , Armamento-Villareal Reina , Napoli Nicola , Qualls Clifford , Villareal Dennis T. 
Published: November 2023

BackgroundThe expanding population of older adults with obesity is a public health challenge, in part, because of the increased risk of fractures despite normal or high bone mineral density. Potential factors predisposing to fractures in this group include sarcopenia associated with obesity and impaired bone quality. We aimed to determine the contribution of sarcopenic obesity (SO) indices to bone strength as assessed by microfinite element analysis (μFEA) of high-resolution peripheral quantitative computed tomography (HR-pQCT).MethodsOne-hundred eighty-nine older (age ≥ 65 years) adults with obesity (BMI ≥ 30 kg/m2) participated in lifestyle intervention trials at our medical center. All underwent baseline measurements of bone strength (failure load and stiffness) using μFEA from HR-pQCT of the distal radius and tibia. In addition, SO indices [appendicular lean mass/weight (ALM/W) and percent body fat (FM%)] by dual-energy X-ray absorptiometry and handgrip strength (HGS) by dynamometry were assessed. SO was diagnosed and staged based on the 2022 ESPEN and EASO expert consensus statement.ResultsBoth ALM/W and HGS were positively correlated explaining 28% to 36% of the variance in failure load and stiffness at the distal radius and tibia (all p &lt; 0.001). In contrast, FM% was negatively correlated explaining 22% to 31% of the variance in failure load and stiffness at the distal radius and tibia (all p &lt; 0.001). The associations of SO indices with failure load and stiffness remained significant after controlling for age, sex, race/ethnicity, diabetes, and 25-OH vitamin D (ALM/W: R2 = 0.301 to 0.448, HGS: R2 = 0.346 to 0.472, FM%: R2 = 0.299 to 0.432) (p &lt; 0.001 to 0.011). SO was diagnosed in 75/189 (40%) participants with 66/75 (88%) having functional or metabolic complications (stage II). Participants with SO had lower failure load and stiffness at the distal radius than participants with no SO (both p &lt; 0.05).ConclusionThese findings demonstrate that lower muscle mass and strength and higher fat mass may impair bone quality. Therefore, interventions that focus on preserving muscle mass and strength while reducing fat mass may be important to decrease fracture risk when older adults with obesity undertake lifestyle intervention therapy.
Shades of grey—tire characteristics and road surface influence tire and road wear particle (TRWP) abundance and physicochemical properties
Authors: Wilkinson Tim , Järlskog Ida , de Lima Juliana Aristéia , Gustafsson Mats , Mattsson Karin , Andersson Sköld Yvonne , Hassellöv Martin 
Published: November 2023

There is mounting evidence that tire wear particles can harm natural systems, but worldwide trends in car weight and car usage, mean emissions are set to increase. To control tire wear emissions and help understand fate and transport, detailed characterisation of the particles, and the relationship between road surface properties and emission profiles is needed. This study deployed a suite of experiments utilising the advanced road simulator of the Swedish National Road and Transport Research Institute to compare seasonal tire types from three brands. An extraction method was developed for a coarse (&gt;30 µm) fraction of tire and road wear particles (TRWP), and a comprehensive physicochemical characterisation scheme applied to both TRWP and tire-tread, including microscopy, energy-dispersive X-ray spectroscopy and pyrolysis-GC/MS. Road simulator dusts and hand-picked TRWP showed differences in shape, numbers, and mass between tire types and brands, and between asphalt and cement concrete road surfaces. Contrary to accepted perceptions, tactile analyses revealed that firm-elastic TRWP comprised only a minor proportion of TRWP. Fragile and chemically distinct tire-road-derived particles, termed here sub-elastic TRWP, comprised 39–100% of TRWP. This finding raises urgent questions about overall TRWP classification and identification features, resistance to weathering, and environmental fate. At the same time, differences in TRWP generation between tire formulations, and road surfaces, show potential for controlling emissions to reduce global impacts.
Study on the coupling and coordination relationship between the digital economy and green development: evidence from Guangdong province in China
Authors: Zhong Xiaojun , Cao Zhiyi , Peng Bo , Cheong Tsun Se 
Published: November 2023

The digital economy city and green development of China are important engines with important backgrounds. This paper takes 21 prefecture-level cities in Guangdong Province as the research object. By constructing the index system of the digital economy and green development, this paper discusses the external spatial pattern and internal temporal evolution characteristics of the coordinated development of the digital economy and green development from the two perspectives of intercity and inner city. The results show that: 1) From the perspective of intercity, there is a large gap between the development level of the digital economy and the green development level of all cities, only Guangzhou and Shenzhen have the digital economy development level ahead of the green development level. The coupling level of the two systems presents an unbalanced pattern of “centre-edge,” and “Guangzhou-Foshan-Shenzhen-Dongguan” becomes the core pole of the coupling development of the two systems in the province. The coordinated horizontal cascade distribution of the two systems is obvious, showing a spatial pattern of decreasing step by step from the first circle to the third circle. 2) From the perspective of inner city, the digital economy level and green development level of all cities showed an upward trend from 2013 to 2019. The coupling level shows a two-stage development trend: the stable development stage from 2013 to 2016, and he accelerated development stage from 2016 to 2019, and the internal interaction of the two systems is deepening. The coordination level of all cities improved significantly in 7 years, and in 2019, 21 cities all reached the level of moderate coordination or high coordination. Based on above research conclusions, in order to promote the positive interaction between digital economy and green development, this paper proposes to optimize resource allocation based on regional differences, and adhere to innovation-driven policy proposals to activate the potential of green development.