bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of data mining in basketball statistics
Authors: Ma Bin , Wang Yingchun , Li Zheng 
Published: June 2022

Abstract
Data mining is a practice that employs mathematical algorithms to search for hidden information in a large amount of data to analyse the underlying pattern and law, and this practice is also known as knowledge discovery in data. The National Basketball Association (NBA) is the professional basketball game at the highest level in the world, and many events in an NBA game are used for statistical analysis. In this paper, data mining technology was applied based on event statistics to quantify the ability of basketball players and teams, the aim of the exercise being to predict basketball results. According to the NBA (2013–2018) season competition data, the quantitative evaluation method was firstly used to establish a player ability evaluation model, and the feature variable selection history game data weighting method was selected to construct a team player ability evaluation feature system. Secondly, machine learning algorithms such as linear regression, XGBoost and neural network models were used to predict the player performance. Considering the randomness and uncertainty of sports competitions, this paper deploys a combination of data mining algorithms and statistical simulation methods to predict the uncertainty of events, and the results indicate a good prediction effect. Therefore, this combined method is worthy of being applied in the evaluation system of team players and in game prediction.
Memory-efficient sensor data compression
Authors: Shevchuk Yury Vladimirovich 
Published: June 2022

We treat scalar data compression in sensor network nodes in streaming mode (compressing data points as they arrive, no pre-compression buffering). Several experimental algorithms based on linear predictive coding (LPC) combined with run length encoding (RLE) are considered. In entropy coding stage we evaluated (a) variable-length coding with dynamic prefixes generated with MTF-transform, (b) adaptive width binary coding, and (c) adaptive Golomb-Rice coding. We provide a comparison of known and experimental compression algorithms on 75 sensor data sources. Compression ratios achieved in the tests are about 1.5/4/1000000 (min/med/max), with compression context size about 10 bytes.
Methotrexate monotherapy versus methotrexate and apremilast combination therapy in the treatment of palmoplantar psoriasis: A prospective, randomised, assessor-blinded, comparative study
Authors: Hassanandani Trashita , Panda Maitreyee , Jena Ajaya Kumar , Raj Chinmoy 
Published: June 2022

Background:
Palmoplantar psoriasis is a chronic debilitating condition which significantly impairs quality of life.

Objectives:
To assess the efficacy and safety of the combination of apremilast and methotrexate compared with methotrexate monotherapy in the treatment of palmoplantar psoriasis. Also, to study the impact on treatment on the Dermatology Life Quality Index and Palmoplantar Quality of Life Index.

Methods:
A total of 64 patients were randomised to two groups in a 1:1 ratio - Group A received both methotrexate and apremilast in combination, while Group B received only methotrexate, for 16 weeks. The primary endpoints were the mean score of Modified Palmoplantar Psoriasis Area and Severity Index at week 16, the proportion of patients achieving modified palmoplantar psoriasis area severity index-75 and/or Palmoplantar Psoriasis Physician Global Assessment score 0/1 at week 16.

Results:
A significantly higher proportion of patients in Group A achieved Modified Palmoplantar Psoriasis Area and Severity Index-75 at week 16 (43% in Group A vs 30% in Group B). The Modified Palmoplantar Psoriasis Area and Severity Index score was significantly lower in the combination group at week 16 (4.03 ± 2.05 in Group A and 5.89 ± 2.31 in Group B, P-value = 0.002). About 80% of patients in the combination group with baseline Palmoplantar Psoriasis Physician Global Assessment ≥3 achieved Palmoplantar Psoriasis Physician Global Assessment 0/1 compared to 60% in Group B. The combination group showed a significantly higher reduction in Dermatology Life Quality Index and Palmoplantar Quality of Life Index scores compared to the methotrexate alone group (P-value = 0.025). No notable adverse events were observed.

Limitation:
The limitations of the study were single blinding, small sample size and a lack of longer follow up to assess the rate of relapse. We did not account for attrition during sample size calculation. Also, due to the paucity of data regarding the use of apremilast in palmoplantar psoriasis, definitive comparisons could not be made with previous studies.

Conclusion:
The combination of apremilast and methotrexate has superior efficacy and a similar safety profile as compared to methotrexate monotherapy for the treatment of moderate to severe palmoplantar psoriasis.
Outcomes using linear accelerator stereotactic radiosurgery for the treatment of trigeminal neuralgia: A single-center, retrospective study
Authors: Kundu Bornali , Brock Andrea A. , Garry Jason G. , Jensen Randy L. , Burt Lindsay M. , Cannon Donald M. , Shrieve Dennis C. , Rolston John D. 
Published: June 2022

Background:
Linear accelerator (LINAC)-based stereotactic radiosurgery (SRS) treatment of trigeminal neuralgia (TN) may have similar efficacy to Gamma Knife SRS (GK-SRS), but the preponderance of data comes from patients treated with GK-SRS. Our objective was to analyze the outcomes for LINAC-based treatment of TN in patients at our institution.

Methods:
We retrospectively analyzed data for patients who underwent LINAC-based SRS for TN from 2006 to 2018. Data were collected from the patients’ medical records. Nonparametric statistics were used for the analysis.

Results:
Of the 41 patients treated with LINAC-based SRS (typically 90 Gy dosed using a 4 mm collimator for one fraction) during that time, follow-up data of >3 weeks post-SRS were available for 32 patients. The median pretreatment Barrow Neurological Institute (BNI) pain score was 5 (range 4–5). The follow-up period ranged from 0.9 to 113.2 months (median 5 months). There was significant improvement in postradiation BNI pain score (P < 0.001), with 23 (72%) patients who improved to a BNI pain score of 1–3. One patient had bothersome hypoesthesia postradiation. Approximately 38% of patients who had initial pain control had recurrence of symptoms (BNI > 3). Survival analysis showed a median time to pain recurrence of 30 months. There was no relationship between prior microvascular decompression (MVD) surgery and change in BNI pain score pre- to posttreatment.

Conclusion:
The results demonstrate that LINAC-based SRS is an effective means to treat TN. Prior MVD surgery did not affect efficacy of SRS in lowering the BNI score from pre- to posttreatment in this patient cohort.
Efectos y perspectivas de la educación en pandemia y sobre la interacción social en las relaciones de enseñanza y aprendizaje. Caso de la Universidad UTE.
Authors: Canela-Ruano Antonio J. , Arboleda Naranjo Victor René , Pessina Itriago María Magdalena , Salazar Coba Christian Giovanni 
Published: June 2022

La investigación propuesta plantea un análisis profundo de las afectaciones de la pandemia en la educación y concretamente en la Facultad de Derecho y Ciencias Sociales de la Universidad UTE. Hemos indagado la afectación del distanciamiento social sobre los resultados de aprendizaje, el proceso de adaptación metodológica para el paso de una educación presencial a otra virtual e híbrida, el aumento de la brecha de género y las dificultades económicas que ha supuesto para los estudiantes y su continuidad de estudios.
Nuestra metodología ha sido cuantitativa, con un diseño no experimental correlacional/causal a través de un cuestionario tipo Likert para el cuerpo docente y alumnado de la Facultad, que se complementó con preguntas cualitativas.
Los resultados principales y nuestras conclusiones sostienen que el distanciamiento social perjudica el desempeño académico del alumnado, que el esfuerzo metodológico aplicado debe tener continuidad y ser profundizado, que la brecha de género ha aumentado y que sería pertinente mejorar y potenciar las becas e implementar ayudas económicas para los estudiantes.
PEMANFAATAN GOOGLE DRIVE SEBAGAI SARANA PENGARSIPAN BAGI GURU DAN TENAGA KEPENDIDIKAN DI KABUPATEN CIREBON
Authors: Nopriana Tri , Dewi Irmawati Liliana Kusuma , Firmasari Siska , Asnawati Sri , Wahyuni Sri , Nadifa Aulia 
Published: June 2022

<p class="6AbstrakIsi">Pengarsipan dilakukan bukan hanya untuk menyimpan berkas agar terlihat rapih, tetapi bermanfaat jika suatu saat berkas tersebut dibutuhkan, maka akan dengan mudah ditemukan. Pemanfaatan <em>Google Drive</em> sebagai sarana pengarsipan bertujuan agar file tidak akan hilang, pencarian berkas yang tidak memerlukan waktu lama, serta dapat diakses dimanapun dan kapanpun dibutuhkan. Sebelum pelatihan ini dilakukan, peserta pelatihan yang merupakan guru-guru di SMP Negeri di Kabupaten Cirebon mengaku bahwa mereka pernah mendengar bahwa berkas dapat disimpan pada <em>Google Drive</em>. Namun, para peserta belum mengetahui cara menggunakannya, bahkan belum mengetahui bahwa berkas-berkas tersebut dapat diakses menggunakan <em>handphone</em> masing-masing. Pelatihan ini dilakukan dengan tiga metode, yaitu ceramah, tanya-jawab dan simulasi. Kegiatan pertama dilakukan dengan metode ceramah dan simulasi, narasumber memberikan informasi mengenai pemanfaatan google drive, dari mulai membuat akun google mail, membuka aplikasi hingga melakukan pengoragnisiran dokumen pada google drive masing-masing. Selanjutnya, narasumber mempersilahkan peserta untuk bertanya mengenai hambatan yang dilakukan dalam menggunakan google drive. Setelah diberikan pelatihan, seluruh peserta sepakat bahwa pelatihan yang dilakukan menarik dan memotivasi untuk menggunakan google drive dalam pengarsipan guna meningkatkan profesionalisme guru khususnya dalam memanfaatkan teknologi</p><p> </p><p>Keywords: Pengarsipan, Google Drive, Profesionalisme Guru </p>
Remotely Supervised Exercise Programmes to Improve Balance, Mobility, and Activity Among People with Moderate to Severe Traumatic Brain Injury: Description and Feasibility
Authors: O’Neil Jennifer , Egan Mary , Marshall Shawn , Bilodeau Martin , Pelletier Luc , Sveistrup Heidi 
Published: June 2022

Purpose: Further investigation into the feasibility of using videoconferencing and activity tracking devices to provide high-intensity home-based exercise programmes for people with a moderate or severe traumatic brain injury (TBI) is needed to inform clinical implementation and patient adoption. This study aimed to (1) determine if home-based telerehabilitation exercise programmes were feasible for people with a moderate or severe TBI and (2) better understand the lived experience of people with a TBI and their family partners with this programme. Methods: A mixed-methods approach consisting of measures of feasibility and semi-structured interviews was used. Five participants with moderate to severe TBI and their family partners completed two high-intensity home-based exercise programmes delivered remotely by a physiotherapist (i.e., daily and weekly). Results: Telerehabilitation services in home-based settings were feasible for this population. Adherence and engagement were high. Dyads were satisfied with the use of technology to deliver physiotherapy sessions. Conclusion: Telerehabilitation provides a delivery option that allows people with TBI to spend energy on therapy rather than on travelling. A pre-programme training on key components, such as the use of technology, safety precautions, and communication methods, likely improved the overall feasibility. Further research is needed to better understand the effectiveness of such a programme on balance, mobility, and physical activity levels.
Дріжджі, як індикатор забруднення ґрунтів сполуками важких металів
Authors: Гришко В.М. , Комарова А.А. 
Published: June 2022

Техногенне забруднення довкілля яким супроводжується сучасний рівень розвитку виробничих сил на Україні становить питання збереження та оптимізації навколишнього середовища живих організмів. Підвищення рівня забруднення ґрунтів важкими металами, як правило, негативно впливає на їх мікробний ценоз і, зокрема, на кількісний і якісний склад певних систематичних груп. На сьогодні вже доведена пригнічуюча дія більшості сполук важких металів на чисельність мікроміцетів, стрептоміцетів та інших бактерій, але для дріжджів це питання ще не з’ясоване.
Nefrostomi Kateterlerinin Orijinal Yolak Kullanılarak Yeniden Yerleştirilmesinin Başarısını Etkileyen Faktörler
Authors: GÖK Mustafa , ABDULLAYEV Oghuz , ÇİLDAĞ Mehmet Burak 
Published: June 2022

Amaç: Mevcut perkütan yol kullanılarak nefrostomi kateterlerinin yeniden yerleştirilmesindeki başarı oranını ve işlem başarısını etkileyen faktörleri araştırmak.
Gereç ve Yöntemler: Aralık 2020 ile Aralık 2021 arasında mevcut yolak üzerinden yeniden perkütan nefrostomi kateteri yerleştirilen 47 yetişkin hastada retrospektif analiz yapıldı. Kateterin aynı yolak kullanılarak yerine takılma başarı oranı, bu oran ile kateter boyutu, kateterin ilk takılma zamanı ile çıkma arasındaki zaman ve aynı yolağın kullanılabileceği zaman aralığı değerlendirildi.
Bulgular: Mevcut yolak üzerinden yeniden perkütan nefrostomi kateteri yerleştirme işleminde genel başarı oranı %70.21 idi. Yeniden yerleştirme işleminde başarı oranı, işlemin başarısız olduğu hastalara kıyasla önceki kateterin daha uzun kalma süresi (82.27'ye karşı 34.21 gün, p < 0.001) ve yeni kateterin daha kısa zamanda yerleştirilmesi (13.21'e karşı 65.86 saat, p < 0.001) ile ilişkiliydi. İşlem karakteristik (ROC) eğrisi analizinde, yeniden yerleştirme süresi için kesme değeri %84.80 duyarlılık ve %85.70 özgüllük ile 33 saat olduğu bulunmuştur.
Sonuç: Mevcut trakt kullanılarak perkütan nefrostomi kateterlerinin yeniden yerleştirilmesi, yeni trakt müdahalesine göre daha avantajlıdır. Yeniden yerleştirme, kateter çıktıktan sonra ilk 24-36 saatlik süre içerisinde başarıyla gerçekleştirilebilir. Başarı oranları, önceki kateterin kalma süresi ve yeniden yerleştirme sürelerine göre değişir.
MANHAJ KRITIKAN MUḤADDITHŪN TERHADAP RIWAYAT SIRAH DAN PENERAPANNYA DALAM PENULISAN SIRAH
Authors: Fadzlan Abd Kadir  , Roshimah Shamsudin  
Published: June 2022

Efforts in preserving the hadiths of Prophet Muhammad (PBUH) obligate the hadith scholars to filter narrations attributed to the Prophet (PBUH), including those on his biography. These efforts have given birth to a methodology used to criticise the narrations since the days of the companions. However, applying the methodology to narrations pertaining to the biography of the Prophet (PBUH) or the sīrah has been a challenging task given the multitude of narrations that do not meet the criteria of acceptance by the muḥaddithun that infiltrate the knowledge of sīrah. Thus, this paper aims to scrutinise the methods of criticising hadiths employed by hadith scholars and the application of these methods on the works on sīrah. A qualitative study was conducted by collecting data from the major works on hadiths and sīrah. The finding demonstrates that the muḥaddithun’s critiques of the sīrah narrations are based on the critiques on sanad and matan. In applying the method, it is imperative to be murunah. This is done by placing each narration at its correct position by prioritising authentic and ḥasan hadiths, in addition to being tasahul on the permissible aspects based on the prescribed discipline.
SENTIDOS ATRIBUÍDOS POR PROFESSORES-TUTORES AOS SEUS (NÃO)SABERES DIDÁTICO-PEDAGÓGICOS
Authors: Moreira Jefferson da Silva , Nunes Mascarenhas Aline Daiane 
Published: June 2022

Este artigo apresenta resultados de pesquisa qualitativa, do tipo estudo de caso, que objetivou compreender quais são os saberes didático-pedagógicos mobilizados por tutores no método Problem-Based Learning (PBL) do curso de Engenharia de Computação de uma universidade pública baiana. A seguinte questão subsidiou o processo investigativo: qual repertório de saberes didáticos e pedagógicos são mobilizados por professores-tutores de uma universidade baiana no processo de mediação didática no método PBL? Os dados foram coletados por meio de casos de ensino e questionários aplicados a oito professores-tutores. Os resultados apontam que os saberes dos participantes é frágil, pois a maioria diz não ter formação sobre esses aspectos, o que reverbera em exercício docente intuitivo no Ensino Superior.
Pilot-Scale Cultivation of the Snow Alga Chloromonas typhlos in a Photobioreactor
Authors: Schoeters Floris , Spit Jornt , Azizah Rahmasari Nur , Van Miert Sabine 
Published: June 2022

The most studied and cultivated microalgae have a temperature optimum between 20 and 35°C. This temperature range hampers sustainable microalgae growth in countries with colder periods. To overcome this problem, psychrotolerant microalgae, such as the snow alga Chloromonas typhlos, can be cultivated during these colder periods. However, most of the research work has been carried out in the laboratory. The step between laboratory-scale and large-scale cultivation is difficult, making pilot-scale tests crucial to gather more information. Here, we presented a successful pilot-scale growth test of C. typhlos. Seven batch mode growth periods were compared during two longer growth tests in a photobioreactor of 350 L. We demonstrated the potential of this alga to be cultivated at colder ambient temperatures. The tests were performed during winter and springtime to compare ambient temperature and sunlight influences. The growth and CO2 usage were continuously monitored to calculate the productivity and CO2 fixation efficiency. A maximum dry weight of 1.082 g L−1 was achieved while a maximum growth rate and maximum daily volumetric and areal productivities of 0.105 d−1, 0.110 g L−1 d−1, and 2.746 g m−2 d−1, respectively, were measured. Future tests to optimize the cultivation of C. typhlos and production of astaxanthin, for example, will be crucial to explore the potential of biomass production of C. typhlos on a commercial scale.
Unconventional Protein Secretion Dependent on Two Extracellular Vesicles: Exosomes and Ectosomes
Authors: Meldolesi Jacopo 
Published: June 2022

In addition to conventional protein secretion, dependent on the specific cleavage of signal sequences, proteins are secreted by other processes, all together called unconventional. Among the mechanisms operative in unconventional secretion, some are based on two families of extracellular vesicle (EVs), expressed by all types of cells: the exosomes (before secretion called ILVs) and ectosomes (average diameters ∼70 and ∼250 nm). The two types of EVs have been largely characterized by extensive studies. ILVs are assembled within endocytic vacuoles by inward budding of small membrane microdomains associated to cytosolic cargos including unconventional secretory proteins. The vacuoles containing ILVs are called multivesicular bodies (MVBs). Upon their possible molecular exchange with autophagosomes, MVBs undergo two alternative forms of fusion: 1. with lysosomes, followed by large digestion of their cargo molecules; and 2. with plasma membrane (called exocytosis), followed by extracellular diffusion of exosomes. The vesicles of the other type, the ectosomes, are differently assembled. Distinct plasma membrane rafts undergo rapid outward budding accompanied by accumulation of cytosolic/secretory cargo molecules, up to their sewing and pinching off. Both types of EV, released to the extracellular fluid in their complete forms including both membrane and cargo, start navigation for various times and distances, until their fusion with target cells. Release/navigation/fusion of EVs establish continuous tridimensional networks exchanging molecules, signals and information among cells. The proteins unconventionally secretedviaEVs are a few hundreds. Some of them are functionally relevant (examples FADD, TNF, TACE), governing physiological processes and important diseases. Such proteins, at present intensely investigated, predict future discoveries and innovative developments, relevant for basic research and clinical practice.
Mitochondrial-Targeted Ratiometric Fluorescent Probe to Monitor ClO− Induced by Ferroptosis in Living Cells
Authors: Feng Beidou , Wang Kui , Wang Zhe , Niu Huiyu , Wang Ge , Chen Yuehua , Zhang Hua 
Published: June 2022

Ferroptosis is a type of iron-dependent programmed cell death. Once such kind of death occurs, an individual cell would undergo a series of changes related to reactive oxygen species (ROS) in mitochondria. A mitochondrial-targeted ratiometric fluorescent probe (MBI-OMe) was developed to specifically detect ferroptosis-induced ClO−, whose recognition group is p-methoxyphenol, and the mitochondrial-targeted group is benzimidazole. The fluorescence of MBI-OMe was first quenched by 30 μM of Fe3+, and then MBI-OMe appeared as a ratiometric signal at 477 nm and 392 nm in response to ferroptosis-induced ClO− in living cells. MBI-OMe was successfully used to evaluate changes in ClO− induced by ferroptosis.
Automated Machine Learning for the Early Prediction of the Severity of Acute Pancreatitis in Hospitals
Authors: Yin Minyue , Zhang Rufa , Zhou Zhirun , Liu Lu , Gao Jingwen , Xu Wei , Yu Chenyan , Lin Jiaxi , Liu Xiaolin , Xu Chunfang , Zhu Jinzhou 
Published: June 2022

BackgroundMachine learning (ML) algorithms are widely applied in building models of medicine due to their powerful studying and generalizing ability. This study aims to explore different ML models for early identification of severe acute pancreatitis (SAP) among patients hospitalized for acute pancreatitis.MethodsThis retrospective study enrolled patients with acute pancreatitis (AP) from multiple centers. Data from the First Affiliated Hospital and Changshu No. 1 Hospital of Soochow University were adopted for training and internal validation, and data from the Second Affiliated Hospital of Soochow University were adopted for external validation from January 2017 to December 2021. The diagnosis of AP and SAP was based on the 2012 revised Atlanta classification of acute pancreatitis. Models were built using traditional logistic regression (LR) and automated machine learning (AutoML) analysis with five types of algorithms. The performance of models was evaluated by the receiver operating characteristic (ROC) curve, the calibration curve, and the decision curve analysis (DCA) based on LR and feature importance, SHapley Additive exPlanation (SHAP) Plot, and Local Interpretable Model Agnostic Explanation (LIME) based on AutoML.ResultsA total of 1,012 patients were included in this study to develop the AutoML models in the training/validation dataset. An independent dataset of 212 patients was used to test the models. The model developed by the gradient boost machine (GBM) outperformed other models with an area under the ROC curve (AUC) of 0.937 in the validation set and an AUC of 0.945 in the test set. Furthermore, the GBM model achieved the highest sensitivity value of 0.583 among these AutoML models. The model developed by eXtreme Gradient Boosting (XGBoost) achieved the highest specificity value of 0.980 and the highest accuracy of 0.958 in the test set.ConclusionsThe AutoML model based on the GBM algorithm for early prediction of SAP showed evident clinical practicability.