bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chronic expanding pituitary hematoma with calcification resulting from pituitary adenoma: illustrative case
Authors: Takagi Fugen , Yagi Ryokichi , Kanemitsu Takuya , Tsuji Yuichiro , Ikeda Naokado , Nonoguchi Naosuke , Furuse Motomasa , Kawabata Shinji , Takami Toshihiro , Wanibuchi Masahiko 
Published: March 2023

BACKGROUND
Pituitary apoplexy (PA) is characterized by sudden headache, vomiting, visual dysfunction, anterior lobe dysfunction, and endocrine disorder due to bleeding or infarction from a pituitary adenoma. PA occurs in approximately 0.6–10% of pituitary adenomas, more commonly in men aged 50–60 years, and more frequently in nonfunctioning and prolactin-producing pituitary adenomas. Further, asymptomatic hemorrhagic infarction is found in approximately 25% of PA.

OBSERVATIONS
A pituitary tumor with asymptomatic hemorrhage was detected on head magnetic resonance imaging (MRI). Thereafter, the patient underwent head MRI every 6 months. After 2 years, the tumor was enlarged and visual dysfunction was noticed. The patient underwent endoscopic transnasal pituitary tumor resection and was diagnosed with a chronic expanding pituitary hematoma with calcification. The histopathological findings were very similar to those of chronic encapsulated expanding hematoma (CEEH).

LESSONS
CEEH associated with pituitary adenomas gradually increases in size, causing visual dysfunction and pituitary dysfunction. In case of calcification, total removal is difficult due to adhesions. In this case, calcification developed within 2 years. A pituitary CEEH, even when showing calcification, should be operated on, as visual function can be fully recovered.
An integrated Machine Learning Model for Manufacturing industry
Authors: Mulongo Yves 
Published: March 2023

The purpose of this article is to examine the process of developing services based on machine learning technologies in a manufacturing environment context. Over the past decade, there has been a resurgence of interest in technology, with prominent technology business organisations and several start-ups incorporating it into their operations. The technology's widespread applications capacity for obtaining a competitive advantage, combined with the prospect of task automation for increased operational efficiency, renders it a significant resource for large corporations. Yet, the rate at which most of manufacturing firms are implementing Machine Learning services into their operations is very insignificant. Technical expertise has dominated study in this field, with minimal participation from other areas. Thus, the goal of this article is to identify the development benefits of Machine Learning services and to provide a process model for their deployment, based on service development and value theory.
Implementasi Data Mining Pada Sistem Persediaan Obat Di Puskesmas Sei Berombang Dengan Metode Algoritma Apriori
Authors: Dewi Dewi Putri Ayu Andira , Ikhwan Ali 
Published: March 2023

Puskesmas merupakan salah satu unit bantuan kesehatan pertama di Indonesia dan puskesmas merupakan tempat pertama untuk merawat kesehatan masyarakat dengan memberikan pelayanan dan pemberian obat sesuai dengan penyakitnya. Penyakit yang diderita langsung ditangani oleh paramedis dengan memberikan obat-obatan. Pentingnya persediaan obat di puskesmas akan menjadi prioritas terpenting yang harus distok untuk menghindari dan mengantisipasi kelangkaan obat. Strategi yang dapat dilakukan untuk mengatasi permasalahan stok obat di puskesmas adalah dengan mengikuti pola penggunaan obat dengan menerapkan data mining di puskesmas dalam memprediksi pola penggunaan obat dengan metode yang tepat menggunakan algoritma apriori yaitu bertujuan untuk mengetahui adanya keterkaitan asosiatif antara kombinasi produk satu dengan lainnya disebut dengan metode yang menerapkan aturan asosiasi. Sehingga puskesmas mengetahui obat yang paling banyak digunakan dan dapat memilah persediaan obat yang harus dipenuhi.
Analisa Pengaruh Jalur Penerimaan Mahasiswa Baru Terhadap Hasil Akademik Mahasiswa Menggunakan Metode Clustering K-Means
Authors: Yang Agita Rindri , Rollastin Boy , Riyadi Muhammad 
Published: March 2023

Setiap tahun perguruan tinggi melakukan penerimaan mahasiswa baru untuk menyaring calon mahasiswa baru yang berkualitas. Data penerimaan mahasiswa baru tersebut semakin bertambah setiap tahunnya dan hanya tersimpan sebagai arsip dalam basis data perguruan tinggi. Padahal data-data tersebut dapat diolah dengan menggunakan teknik data mining untuk mendapatkan informasi tertentu yang bermanfaat bagi perguruan tinggi. Penelitian ini bertujuan memanfaatkan data penerimaan mahasiswa baru untuk mengetahui pengaruh jalur penerimaan mahasiswa baru terhadap hasil akademik mahasiswa selama mengikuti perkuliahan dengan menggunakan algoritma K-Means Clustering. Data yang digunakan adalah data penerimaan mahasiswa baru pada Program Studi Sarjana Terapan Teknik Elektro, Program Studi Sarjana Terapan Teknologi Rekayasa Perangkat Lunak, dan Program Studi Sarjana Terapan Teknik Mesin dan Manufaktur Polman Negeri Babel Tahun Akademik 2021/2022 dan data nilai semester ganjil TA 2021/2022. Jumlah data yang digunakan sebanyak 179 data dari Program Studi Sarjana Terapan Teknik Elektro, Program Studi Sarjana Terapan Teknologi Rekayasa Perangkat Lunak, dan Program Studi Sarjana Terapan Teknik Mesin dan Manufaktur. Hasil dari penelitian menunjukkan bahwa K-Means Clustering mengelompokkan data menjadi 3 cluster di setiap kategori jalur penerimaan mahasiswa baru. Hasil cluster tersebut menunjukkan bahwa jalur SNMPTN menghasilkan 48% mahasiswa memiliki hasil akademik 10 terbaik di kelasnya, sementara itu 60% mahasiswa dari jalur MANDIRI menempati peringkat 21-30 di kelasnya.
An Encryption Approach Based on Formal Method for Securing Distributed Big Data Storage in Cloud Environment
Authors: Hassan Anah Bijik , Boukari Souley , Yau Gital Abdulsalam , Abdulhamid Mohammed 
Published: March 2023

Cloud computing is the technology used to store massive amounts of data (Big data) on Servers which locations are unknown to the user of the service. One of the major source of concern in security and privacy is the fact that cloud operators have chances to reach the sensitive data. This makes Cloud computing adoption by organizations with users’ sensitive details including the banking sector and government agencies marred by resentment. Therefore, a cryptography approach is proposed, named Secured Efficient Distributed Storage SecDcloud) model that is designed to obtain an efficient mass distributed service, and is supported by the Modified Alternative Data Distribution (MAD2) Algorithm Modified Secured Data distribution (MSED2) Algorithm as well as Improved Data Conflation (IDCon) Algorithm based on formal method. Our proposed mechanism aims to split, encrypt sensitive data and store the data to the different cloud servers without causing big overheads using formal method which prevents cloud service providers from directly accessing the user’s data. Our experiments, evaluated on security and efficiency of our technique, and is compared with state of the art Advanced Encryption Standard(AES) Algorithm and the results show that it is capable of effectively defending against the most common cloud-based threats while still maintaining a reasonable amount of processing time.
Розробка моделі прийняття рішення з використанням гнучких методологій
Authors: Каліновський Дмитро , Осієвський Сергій , Дзюба Інна 
Published: March 2023

У статті розглянуто вимоги до розробки системи підтримки прийняття рішення з використанням бази знань в залежності від положення Стратегічного оборонного бюлетеня України, формалізованого процесу прийняття воєнного рішення на основі стандартів НАТО та особливостей архітектури C4ISR. З точки зору проектування програмного забезпечення враховано стандарт направлений на процеси і організацію життєвого циклу ІС та маніфест гнучкої розробки. Розглянуті вимоги являються частковим переліком, який необхідний для побудови діаграм структури та поведінки, які описують автоматизоване управління військами на основі визначених принципів управління, ознак класифікації та базових функцій систем в країнах – членах НАТО. Розроблена функціональна модель процесу управління військами з використанням положень С4ISR, яка враховує послідовність виконання процесу ППВР та дозволяє дослідити вплив кожної підсистеми на загальний результат.
Враховуючи формуляри програмного комплексу “Віраж-Планшет”, визначено кількісні показники інформації про повітряні об’єкти та засоби повітряного нападу які використовуються особою яка приймає рішення. Оцінена кількісна міра інформації, яка використана для визначення точок прийняття рішення відносно повітряних об’єктів які супроводжуються.
Documenting data-ghosts: Visualising non-human life and death through what is undocumented in early childhood education
Authors: Albin-Clark Jo 
Published: March 2023

What happens with ethical response-abilities that linger in early childhood education documentation practices? Thinking-with research-creation, I problematise the human focus of three and four-year old children caring for eggs in a classroom hatchery. Foregrounding non-human life (and death) brings an ethical disquiet that sticks around. Instead, the past-present-future becomes blurred with ghostly matters. What is particularly haunting is the disposability of non-human life after human educational events are over. Haunting data that is not easy to think with and irritates through time is conceptualised as a data-ghost. Through methodological creative experiments inspired by digital visualisations of non-human data-ghosts, I ponder with the minor of what is unthought, half-said and non-documented when chicks are returned to commercial hatcheries. Posthuman praxis leads me to trouble the human-centric focus of documentation practices and wonder what new questions are generated for multi-species flourishing when the foreground slips and flips to the non-human.
Gestión de las cuentas por cobrar y su incidencia en la liquidez de la Fundación Centro de Apoyo y Solidaridad “Alianza”, cantón Portoviejo, año 2020
Authors: Muñoz-Tuárez Génessis , Mendoza-Saltos María 
Published: March 2023

El presente articulo tiene como objetivo analizar la incidencia de la gestión de las cuentas por cobrar sobre la liquidez en la Fundación Centro de Apoyo y Solidaridad “Alianza”, cantón Portoviejo, año 2020 - 2021. La investigación fue no experimental, transversal, descriptiva, se contó con una población de 4 personas que laboran en la Fundación a quienes se les destinó una entrevista cuya confiabilidad se evidenció en la aplicación de un Cuestionario de Control Interno, además se analizaron los estados financieros aplicándose indicadores para determinar la causa de esta liquidez. Los resultados revelaron que existe una desorganización y ausencia de políticas y manuales de crédito, ocasionando que no se realicen los cobros de los créditos.
Se concluye que la gestión de las cuentas por cobrar incide sobre la liquidez de la Fundación Centro de Apoyo y Solidaridad “Alianza”. Es decir, cada uno de los procedimientos de crédito y cobranza, indicadores de actividad, tienen una incidencia en la liquidez reflejándose en los indicadores de liquidez corriente, prueba ácida, prueba defensiva, capital neto de trabajo y capital de trabajo.
Identification of Risk Factor of Adolescent Sexual Behavior in Purwokerto: Pilot Study
Authors: Triyanto Endang 
Published: March 2023

Introduction: Adolescent students drop out of school due to sexual behavior. They are depressed and pregnant. The level and risk factors of sexual behavior in Purwokerto are not comprehensively known.
Aim: The purpose of this study was to determine the level and risk factors of sexual behavior.
Methods: This study uses a quantitative method approach. This type of research is a survey. A survey using the questionnaire that has been statistically tested. Respondents were selected by simple random sampling from April to August 2022 in Purwokerto-Indonesia. Researchers have conducted screening to select adolescents who have risky sexual behavior. A number of 41 adolescents are included in high risk. The data analysis used was descriptive statistics. The data are presented in a frequency distribution table.
Result: These risk factors come from individuals, peers, family, and the environment. Risk factors that have been found in this study include lack of knowledge (17%), dating behavior (66%), the negative influence of peers (78%), disharmonious family (32%), lack of attention from parents (56%), a victim of divorce (7%), free environment (68%), the negative influence of social media (61%), and negative values and beliefs (54%). The highest risk factor is peers (78%).
Conclusion: All risk factors significantly affect adolescent sexual behavior. Peers was the factor which most highly influence sexual behavior. Therefore, adolescents should have assertive abilities so they are not easily influenced.
Robust DUT-67 material for highly efficient removal of the Cr(VI) ion from an aqueous solution
Authors: Shen Yanqiong , Yang Qingsong , Gao Yongqiang , Qian Jinjie , Li Qipeng 
Published: March 2023

Robust DUT-67 was synthesized by the hydrothermal method and characterized by powder X-ray diffraction (PXRD), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). To systematically study the removal of Cr(VI) ion by DUT-67, single-factor, competition ion, material regeneration, kinetic, and thermodynamic experiments were designed. The experimental results show that DUT-67 had a maximum removal rate of 96.1% and a maximum adsorption capacity of 105.42 mg g−1 with material regeneration and outstanding selective adsorption. In addition, the process of removal of the Cr(VI) ion from an aqueous solution by DUT-67, which accorded with the pseudo-second-order kinetics model and Langmuir model, was studied, and its adsorption mechanism was reasonably explained by the theoretical calculation.
Clinical study of carotid superb microvascular imaging in evaluating the activity of Takayasu’s arteritis
Authors: Liu Feng-Ju , Ci Wei-Ping , Cheng Yi 
Published: March 2023

ObjectiveThe goal of this study is to use superb microvascular imaging (SMI) to observe neovascularization in the carotid vessel wall to identify potential Takayasu’s arteritis (TAK) inflammation markers.MethodsBilateral carotid arteries from 96 patients with TAK were imaged by a Doppler ultrasound and SMI. The one-way analysis of variance (ANOVA) was used to document significant differences between the activity and inactivity stages of TAK and the factors closely related to its activity in the binary logistics regression equation. Clinical and laboratory data included age, gender, duration of disease, treatment history, NIH score, erythrocyte sedimentation rate (ESR), and high-sensitivity C-reactive protein. Imaging data included the arterial wall thickness, degree of lesion, SMI grade, and arterial aneurysm formation.ResultsThere were 45 patients in the active TAK stage and 51 in the inactive stage. The one-way ANOVA showed significant differences in SMI (p = 0.001) and ESR (p = 0.022) between the active and inactive groups. The binary logistics regression analysis showed that SMI was an independent risk factor for TAK activity (B = −1.505, S.E = 0.340, Wald = 19.528, OR = 0.222 95%, CI = 0.114–0.433, p &lt; 0.01). Using SMI G1 or G2 as the cutoff values for the diagnosis of active TAK, the positive predictive value, sensitivity, and specificity were 60 and 86%, 84% and 56%, and 54% and 92%, respectively.ConclusionThe SMI grade is a potential marker of disease activity in patients with TAK.
Increased fat mass negatively influences femoral neck bone mineral density in men but not women
Authors: Charoenngam Nipith , Apovian Caroline M. , Pongchaiyakul Chatlert 
Published: March 2023

BackgroundObesity is known to be a protective factor against osteoporosis. However, recent studies have shown that excessive adiposity may be detrimental for bone health.ObjectiveTo determine the association of lean mass (LM) and fat mass (FM) with bone mineral density (BMD) in Thais.MethodsBone density studies of consecutive patients of Srinagarind Hospital, Khon Kaen, Thailand between 2010 and 2015 were reviewed. LM, FM, lumbar spine (LS) and femoral neck (FN) BMD were measured. Lean mass index (LMI) and fat mass index (FMI) were calculated [LMI=LM (kg)/height (m)2, FMI=FM (kg)/height (m)2] and analyzed to determine the association with LS and FN BMD using multiple regression analysis. This study was approved by the institutional ethical committee (HE42116).ResultsA total of 831 participants were included. The mean ± SD age was 50.0 ± 16.3 years. In men, LMI (per 1 kg/m2 increase) was positively correlated with FN BMD (g/cm2, β 0.033) and LS BMD (g/cm2, β 0.031), after adjusting for age, height and FMI. Whereas FMI (per 1 kg/m2 increase) was negatively correlated with FN BMD (g/cm2, β -0.015) but not with LS BMD (g/cm2, β 0.005) after adjusting for age, height and LMI. In women, both LMI and FMI were positively correlated with LS BMD (g/cm2, LMI: β 0.012; FMI: β 0.016) and FN BMD (g/cm2, LMI: β 0.034; FMI: β 0.007) with age, height, LMI and FMI included in the model.ConclusionOur findings indicate that FM has a sex-specific influence on BMD in Thais.
Involvement of p38 MAPK in Leydig cell aging and age-related decline in testosterone
Authors: Luo Dandan , Qi Xiangyu , Xu Xiaoqin , Yang Leilei , Yu Chunxiao , Guan Qingbo 
Published: March 2023

IntroductionAge-related decline in testosterone is associated with Leydig cell aging with impaired testosterone synthesis in aging. Obesity accelerates the age-related decline in testosterone. However, the mechanisms underlying the Leydig cell aging and the effects of obesity on Leydig cell aging remain unclear.MethodNatural aging mice and diet-induced obese mice were used to assess the process of testicular Leydig cell senescence with age or obesity. Bioinformatic analysis of the young and aged human testes was used to explore key genes related Leydig cell aging. Leydig cell-specific p38 MAPK knockout (p38LCKO) mice were used to further analyze the roles of p38 MAPK in Leydig cell aging. The levels of testosterone and steroidogenic enzymes, activity of p38 MAPK, aging status of Leydig cells, and oxidative stress and inflammation of testes or Leydig cells were detected by ELISA, immunoblotting, immunofluorescence, and senescence-associated β-galactosidase (SA-β-Gal) staining analysis, respectively.ResultThe serum testosterone level was significantly reduced in aged mice compared with young mice. In the testis of aged mice, the reduced mRNA and protein levels of LHCGR, SRB1, StAR, CYP11A1, and CYP17A1 and the elevated oxidative stress and inflammation were observed. KEGG analysis showed that MAPK pathway was changed in aged Leydig cells, and immunoblotting displayed that p38 MAPK was activated in aged Leydig cells. The intensity of SA-β-Gal staining on Leydig cells and the number of p21-postive Leydig cells in aged mice were more than those of young mice. Similar to aged mice, the testosterone-related indexes decreased, and the age-related indexes increased in the testicular Leydig cells of high fat diet (HFD) mice. Aged p38LCKO mice had higher levels of testosterone and steroidogenic enzymes than those of age-matched wild-type (WT) littermates, with reduced the intensity of SA-β-Gal staining and the expression of p21 protein.ConclusionOur study suggested that obesity was an important risk factor for Leydig cell aging. p38 MAPK was involved in Leydig cell aging induced by age and obesity. The inhibition of p38 MAPK could delay Leydig cell aging and alleviate decline in testosterone.
A practical dynamic nomogram model for predicting bone metastasis in patients with thyroid cancer
Authors: Liu Wen-Cai , Li Meng-Pan , Hong Wen-Yuan , Zhong Yan-Xin , Sun Bo-Lin , Huang Shan-Hu , Liu Zhi-Li , Liu Jia-Ming 
Published: March 2023

PurposeThe aim of this study was to established a dynamic nomogram for assessing the risk of bone metastasis in patients with thyroid cancer (TC) and assist physicians to make accurate clinical decisions.MethodsThe clinical data of patients with TC admitted to the First Affiliated hospital of Nanchang University from January 2006 to November 2016 were included in this study. Demographic and clinicopathological parameters of all patients at primary diagnosis were analyzed. Univariate and multivariate logistic regression analysis was applied to build a predictive model incorporating parameters. The discrimination, calibration, and clinical usefulness of the nomogram were evaluated using the C-index, ROC curve, calibration plot, and decision curve analysis. Internal validation was evaluated using the bootstrapping method.ResultsA total of 565 patients were enrolled in this study, of whom 25 (4.21%) developed bone metastases. Based on logistic regression analysis, age (OR=1.040, P=0.019), hemoglobin (HB) (OR=0.947, P&lt;0.001) and alkaline phosphatase (ALP) (OR=1.006, P=0.002) levels were used to construct the nomogram. The model exhibited good discrimination, with a C-index of 0.825 and good calibration. A C-index value of 0.815 was achieved on interval validation analysis. Decision curve analysis showed that the nomogram was clinically useful when intervention was decided at a bone metastases possibility threshold of 1%.ConclusionsThis dynamic nomogram, with relatively good accuracy, incorporating age, HB, and ALP, could be conveniently used to facilitate the prediction of bone metastasis risk in patients with TC.
Species inventories from different data sources “shaping” slightly different avifauna diversity patterns
Authors: Huang Xiongwei , Lin Congtian , Ji Liqiang , Feng Gang 
Published: March 2023

IntroductionSpecies inventories based on various data sources have been widely used in biodiversity research, conservation policy formulation, reserve designation and biodiversity resource management. In this paper, we explored the relationships of species inventories obtained from different sources and whether they would affect the inference of biodiversity patterns and their environmental drivers.MethodsWe compiled the species inventories from different data sources (observational data including large amounts of citizen-based observational records and digitalized specimens, and avifauna data extracted from avifaunas which mainly integrated professional-based species surveys, expert knowledge and documentary records) at the prefectural level in China. Then we explored the relationships of different inventories and compared the correlations between the taxonomic, phylogenetic, functional diversity calculated from different datasets and the environmental factors.Results and DiscussionThe results showed that the avifauna datasets contributed more additional species to the combined species inventories when the species richness was relatively low and vice versa. Species inventories integrated from two different data sources formed complementary relationship rather than nested or totally different relationships. In addition, the species inventories based on observational data had no obvious disadvantage or were even better at inferring the biodiversity patterns than those based on avifauna data. The stepwise multiple regression analyses showed that the best models were the ones using the species inventories combined by observational and avifauna dataset, and the best models built with different datasets included inconsistent environmental variables. Thus, the species inventories from different data sources will indeed affect the inference of the correlations between taxonomic diversity, phylogenetic diversity, functional diversity and environmental factors. Moreover, although it may be more reliable to use a combined species inventory to analyze the relationship between diversity indices and environmental factors, individualized improvement schemes should be proposed for different data sources to fill the data gaps.