bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patients
Authors: Moon Intae , LoPiccolo Jaclyn , Baca Sylvan C. , Sholl Lynette M. , Kehl Kenneth L. , Hassett Michael J. , Liu David , Schrag Deborah , Gusev Alexander 
Published: January 2023

Abstract
Cancer of unknown primary (CUP) is a type of cancer that cannot be traced back to its original site and accounts for 3-5% of all cancers. It does not have established targeted therapies, leading to poor outcomes. We developed OncoNPC, a machine learning classifier trained on targeted next-generation sequencing data from 34,567 tumors from three institutions. OncoNPC achieved a weighted F1 score of 0.94 for high confidence predictions on known cancer types (65% of held-out samples). When applied to 971 CUP tumors from patients treated at the Dana-Farber Cancer Institute, OncoNPC identified actionable molecular alterations in 23% of the tumors. Furthermore, OncoNPC identified CUP subtypes with significantly higher polygenic germline risk for the predicted cancer type and significantly different survival outcomes, supporting its validity. Importantly, CUP patients who received first palliative intent treatments concordant with their OncoNPC-predicted cancer sites had significantly better outcomes (H.R. 0.348, 95% C.I. 0.210 - 0.570, p-value 2.32e-5). OncoNPC thus provides evidence of distinct CUP subtypes and offers the potential for clinical decision support for managing patients with CUP.
A survey on several new popular swarm intelligence optimization algorithms
Authors: Wei Xiuxi , Huang Huajuan 
Published: January 2023

Abstract
Traditional optimization methods rely on parameter selection and a require high mathematical performance of the objective function. Thus, swarm intelligence optimization algorithms have attracted extensive attention as modern optimization methods in recent years, achieving remarkable results in the fields of machine learning, engineering optimization, process control, and elsewhere. Swarm intelligence optimization algorithms are a form of computing technology built upon the laws of biological group behavior, they are simple, fast, and place low requirements upon the objective functions. The traditional swarm intelligence algorithm offers new ideas for solving certain practical problems, however, it suffers from shortcomings in several experiments. In recent years, numerous scholars have proposed new swarm intelligence optimization algorithms, this paper selects several of the more typical swarm intelligence algorithms proposed in recent years at home and abroad, including the Whale Optimization Algorithm, Moth-Flame Optimization Algorithm, Fireworks Algorithm, Dragonfly Algorithm, Crow Search Algorithm, Butterfly Optimization Algorithm, and Pigeons Algorithm. Furthermore, the experimental performances of these algorithms are compared with respect to their convergence speed, accuracy, and stability, using 18 standard test functions, and the relative improvement methods are compared and analyzed. Finally, the characteristics of the swarm intelligence optimization algorithm are summarized, and its future development potential is discussed.
Two-Component Density Functional Theory Study of Quantized Muons in Solids
Authors: Li Deng , Ye Bangjiao , Pan Ziwen , Yuan Yue , Zhang Wenshuai , Pratt Francis 
Published: January 2023

Abstract
The quantum effect of light nuclei in materials is usually considered as lattice vibration and zero-point motion (ZPM) from an ab initio perspective. Here we start from full-quantized particles and take the muon as an example, considering the two-body quantized system of the muon and the electrons within Two-Component Density Functional Theory, which can calculate the related two-body wave functions directly and automatically taking into account the quantum effect of the muon. This is an attempt to reveal the quantum effect of light nuclei in materials from a different respect. It is tested in some metallic systems (Fe-bcc, Co-fcc, Co-hcp) and some non-metallic systems (NaF, CaF2, diamond), we finally find this fundamental method agrees better with experiments and shows good potential for further such study.
Discrete Morse Functions and Watersheds
Authors: Bertrand Gilles , Boutry Nicolas , Najman Laurent 
Published: January 2023

Abstract
Any watershed, when defined on a stack on a normal pseudomanifold of dimension d, is a pure (d-1)-subcomplex that satisfies a drop-of-water principle. In this paper, we introduce Morse stacks, a class of functions that are equivalent to discrete Morse functions. We show that the watershed of a Morse stack on a normal pseudomanifold is uniquely defined, and can be obtained with a linear-time algorithm relying on a sequence of collapses. Last, but not the least, we prove that such a watershed is the cut of the unique minimum spanning forest, rooted in the minima of the Morse stack, of the facet graph of the pseudomanifold.
Analogy of harmonic modelocked pulses to trapped Brownian particles improves laser performance
Authors: Laçin Mesut , Repgen Paul , Şura Aladin , Şenel Çağrı , Ilday F. Ömer 
Published: January 2023

Abstract
High repetition rate ultrafast lasers are needed for diverse applications. Harmonic modelocking, where multiple identical, equidistant pulses circulate in the cavity, reaches beyond the practical limitations of reducing the cavity length. However, it suffers from stochastic deviations that manifest as supermodes in the radio-frequency spectrum and difficulties in maintaining the same harmonic state, often coupled with trade-offs in pulse energy, duration, or noise performance. Here, we first show that deviations in the temporal positions of the pulses contribute disproportionately more to the supermodes than deviations in their amplitudes. Then, we argue that these fluctuations are analogous to those of trapped Brownian particles. The analogy reveals that supermodes are suppressed by stronger spectral filtering, which corresponds to fluid viscosity, and higher pulse energy reduces the noise, akin to lower temperature. Guided by this intuitive picture, we construct a Yb-fibre laser incorporating strong filtering and high intracavity energies by limiting nonlinear polarisation evolution to a short section of ordinary fibre. The rest of the all-fibre cavity comprises polarisation-maintaining fibre, which additionally improves environmental robustness. We report record-high supermode suppression ratios, reaching 80 dB, excellent long-term and environmental stability, and pulse energy, duration, and noise characteristics that are similar to fundamentally modelocked lasers.
Pan-genome analysis of Hypervirulent Klebsiella pneumoniae to evaluate genomic diversity and pathogenic potential among strains
Authors: azimuddin syed muhammad iqbal 
Published: January 2023

Abstract
Klebsiella pneumoniae is the causative agent of numerous types of infections in humans, includes urinary tract infections (UTIs), respiratory tract infections, and bloodstream infections. The hypervirulent Klebsiella pneumoniae associated with severe community-acquired infections. Hypervirulent Klebsiella pneumoniae(hvKP) is more virulent than classical Klebsiella pneumoniae (cKP) and it is an evolving pathotype due to the acquisition of genetic determinants which is responsible for its open genome. In the present study, we have performed the pan-genome analysis of Klebsiella pneumoniae for the determination of virulence proteins and genomic variation among its strains using a tool pangenome analysis pipeline (PGAP-1.2.1). The whole genome sequences of fifty-one Klebsiella pneumoniae strains was downloaded from NCBI using Refseq database. These sequences were converted into PGAP required extension files. Thirty-nine proteins and their corresponding protein sequences involved in the pathogenesis of the organism were downloaded from UniprotKB for BLAST analysis. After blast analysis, twenty-five strains were selected out of fifty-one strains based on 90-100% homology.
A wide variety of selected pathogenic proteins were present in core and shared genome which includes siderophores specifically (salmochelin), adhesion proteins, extracellular toxins, and complement resistant proteins. The presence of carbapenem resistance and hypermucoviscosity proteins in unique genome indicated that Klebsiella pneumoniaeis continuously evolving through horizontal gene transfer (HGT). Additionally, the presence of siderophores like salmochelin and aerobactin indicates the presence of hypervirulent Klebsiella pneumoniae. Phylogenetic tree shows that strain GCF_000009885 (NTUH-K2044) was distant from all the other strains.
Laser bending of wood veneers: phenomenological and Machine-Learning approaches case study
Authors: Ramos-Grez Jorge , Fé-Perdomo Iván La , Calvo-Sofia Sergio 
Published: January 2023

Abstract
Wood is a noble, versatile, and renewable material which plays an important role in sustainable manufacturing. The present study shows that it is feasible to laser bend veneers of different wood species by applying infrared energy in the form of a scanned laser beam. Bending height, i.e., deflection of the veneer measured as the vertical elevation of its edge points from the horizontal plane; were achieved on three wood types, namely: beech, yesquero, and ulmo. Process parameters and wood properties considered relevant to the response variable are laser energy, moisture content, water loss, density, and wood species. Experimental results indicate that specimens 15 cm long, 3.5 cm wide and 1.5 mm thick achieved bending heights ranging from 0.35 cm (beech) up to 4.8 cm (yesquero). Largest average height of 4.45 cm was achieved in beech veneers at equilibrium moisture content of 13% under maximum laser energy of 1061 J. On the other hand, ulmo specimens having 0% moisture content, after oven drying for 72 hour at 40ºC, also showed considerable average deflection height of up to 3.1 cm. This reaffirms that free water loss is not the only mechanism for fibre contraction, but that cell wall bound water loss during the laser wood interaction also causes considerable shrinkage, as expected. Machine-Learning analysis of the experimental data suggests the algorithm that better suited the response variable was the Gaussian Process regression since it showed the highest correlation coefficient and the lower RMSE. Confirming that moisture content explains almost 45% of the model's predictability, followed by laser energy with 35%, while water loss (both free and bound) was ranked third.
IoT-Enabled Solutions for Environmental Monitoring in Hospitals
Authors: Rajagopal Sivakumar , Lyngdoh Dalamchwami Chen , Anathapadmanabhan U K , Soangra Rahul , Vasan Nirmala 
Published: January 2023

Purpose
In a hospital, to provide quality healthcare to a patient, it should be imperative in maintaining an optimal environment. Another important factor is also monitoring the temperature of cold storage equipment such as refrigerators and freezers, as these are crucial in maintaining a constant temperature for medicines, vaccines, blood banks, tissue samples, surgical equipment, etc and if any of these are affected by the change in temperature, it would also lead to a negative impact on the patient’s healthcare. For this purpose, we are going to monitor the environmental conditions such as temperature and humidity of key areas in the hospital as well as cold storage equipment and analyse the number of times an alarm has been raised if the room temperature, as well as cold storage equipment, has not been maintained within a specific range.

Methods
The methodology involves the installation of the devices in key areas within the healthcare facility for environmental monitoring. The gateway is used to communicate real-time data to an IoT Platform called Ubidots. API keys are used for integrating another platform called Zoho Creator into an IoT platform, which also allows for viewing the real-time environmental data in KPIs and dashboards via Analytics.

Results and Discussion
The data collected was displayed in reports and analysed with the help of pictorial representations such as graphs and dashboards. Zoho Analytics, another platform under Zoho, allows us to visualize the data and understand the environmental effects of temperature & humidity.

Conclusion
From this paper, we can see that as the temperature and humidity have been detected to be out of range for a certain time interval, alarms are activated and a telegram message is delivered to the individual in charge of maintaining the appropriate temperature, to address the critical issue as soon as possible. Hence this highlights the importance of environmental monitoring, even more so strengthening the purpose that incorporating IoT technologies in healthcare systems will not only benefit but also revolutionise the methods of addressing other issues related to healthcare in real-time.
Personalized Medical Photoprotection: Determining Optimal Measures for Susceptible Patient Groups
Authors: González Salvador , De Gálvez María Victoria , De Troya Magdalena , Rodríguez-Luna Azahara , Calzavara-Pinton Piergiacomo 
Published: January 2023

Background:
Increasing knowledge regarding the deleterious effects of sun exposure and the mechanisms of photodamage has enabled the development of tailored photoprotection strategies based on skin type and the existence of underlying conditions. Dermatologists play an essential role as they identify the specific skin photoprotection needs of their patients. This translates into specific recommendations of suitable protection measures, both in terms of the length and time of the day these patients can be exposed to the sun and the use of sun protection products.

Purpose:
Our purpose was to overview optimal photoprotection strategies for patients with dermatological pathologies or alterations. Methods: Increasing evidence supports the use of sunscreens containing not only organic and inorganic filters but also non-filtering biological ingredients that can enhance sunscreen protection efficacy. Examples of these biologicals are DNA repair enzymes, antioxidants including vitamins and other biological agents, including those of botanical origin.

Results:
Oral photoprotection is also an area of increasing interest that contributes to an integral protection against sun-related alterations.

Conclusion:
This article provides the skin care specialist with a simple, easy-to-use guide to identify appropriate measures for patients presenting pathologies or conditions requiring specific sun protection needs, including (but not limited to) photodermatoses (polymorphic light eruption, porphyrias); inflammatory dermatoses (atopic dermatitis, rosacea, psoriasis); pigmentation disorders (hyperpigmentation, vitiligo), photoaging, skin pre-cancerous lesions and cancers, and photosensitive or sensitized skin (patients undergoing specific drugs treatments or skin-related procedures), ensuring the choice of personalized protection for susceptible groups within the general population.
Factors Affecting Public Transportation Ridership in a High-Income Developing Country
Authors: Shaaban Khaled , Siam Abdalla Abdelrahman 
Published: January 2023

Background:
In rich developing countries, the increased rate of car use has major implications in terms of pollution, noise, and congestion problems. One of the main solutions to these problems is to find ways to promote the use of other transportation modes. The first step in this process is identifying the factors affecting the use of these modes.

Aim:
In Qatar, a major bus service was introduced to address the fast-growing transportation demands in urban areas. This study was initiated to explore the factors influencing public bus ridership in Qatar. The goal is to understand the influence of various attributes at the stop level of the existing public buses.

Methods:
Multiple linear regression models were developed to identify the parameters that significantly influence stop level boarding and alighting.

Results:
The results indicate that land use and population parameters were significantly affecting the existing bus ridership in Qatar. The population parameters include the number of persons available in the catchment area for residing, working, visiting restaurants, and shopping purposes. Land use parameters include the number of shopping places, number of restaurants, and number of mosques.

Conclusion:
This information can help policymakers and public authorities to develop policies and plans to increase bus usage in Qatar.
Lipases and their Applications in Biomedical Field
Authors: Sood Apoorva , Kaur Manpreet , Gupta Reena 
Published: January 2023

Abstract:
Lipases are carboxylic ester hydrolase enzymes, constituting the class of serine hydrolases,
requiring no cofactor for their action. They have various substrates and produce glycerol and
free fatty acids through the hydrolysis of fats and oils. Owing to their wide applications and the
simplicity with which they can be mass-produced, these are a significant group of biotechnologically
important enzymes. In addition, lipases have the special characteristic of operating at a lipid/
water interface. Present review focuses on the medical and therapeutic use of lipases. These enzymes
and their inhibitors have applications with remarkable success for managing or even treating
diseases such as cancer, obesity, atherosclerosis, and Alzheimer’s. Lipases have also been used to
produce healthier fatty acids and low-fat cheese. The characteristic physicochemical and catalytic
properties of enzymes make them ideal for biosensors and digestive aids in individuals with exocrine
pancreatic inefficiency. Newer avenues open as deeper and more relevant studies are being
conducted on newer lipases.
Canciones famosas latinoamericanas y su discurso sobre la migración de tránsito: de la indocumentación a la vulnerabilidad y la violencia
Authors: Torres Osuna Cristian Daniel 
Published: January 2023

El fenómeno de la migración de tránsito ha sido estudiado en numerosas ocasiones desde diversas perspectivas de análisis social, destacando sus particularidades, causas, riesgos y posibles escenarios de futuro. La información desprendida de entrevistas, encuestas y otras técnicas de recolección de datos han arrojado, sin duda, un banco de datos fundamental para las ciencias sociales. No obstante, en el presente esfuerzo académico nuestro objetivo es examinar la relación de ese fenómeno migratorio con los discursos que se desprenden de los productos musicales, en su función de emisores de una serie de contenidos simbólicos que abordan y distribuyen visiones sobre diversas temáticas nacionales e internacionales.
En ese contexto, en las siguientes líneas desarrollaremos un análisis crítico del discurso de las cinco canciones latinoamericanas más famosas (Mojado, Pa’l Norte, Clandestino, El inmigrante y José Pérez León) que cuentan con varios millones de reproducciones en distintas plataformas musicales, y que tienen como temática central la migración de tránsito. Se hace énfasis en sus particularidades y su relación con los enfoques teóricos sobre el tránsito migratorio, desvelando escenarios en los que los migrantes se desenvuelven en la vulnerabilidad, la depresión, la religión, la incertidumbre laboral, los peligros del trayecto, el control migratorio, la deportación, por mencionar algunos.
THE EFFECTIVENESS OF VIRTUAL METACOGNITIVE LEARNING TO ANALYZE STUDENT AWARENESS, EVALUATION, AND REGULATION PROCESSES IN PROBLEM SOLVING
Authors: Purnomo Dwi , Sunuyeko Nurcholis , Rochsun Rochsun , Sumarti Endang , Pradipta Anangga Widya , Hindun Nurmala 
Published: January 2023

AbstractThis article is the result of virtual learning research with research subjects of two groups of students and aims to determine the effectiveness of metacognitive learning so that the components of metacognition in solving problems can be analyzed. The research begins with a pre-test followed by virtual learning and ends with post-test and metacognition questionnaires. During the post-test, students' activities in solving them were observed through awareness, evaluation, and regulation while the metacognition questionnaire consisted of questions about metacognition components. The results of the data analysis show that students who do metacognition, their learning outcomes increase so that there is a relationship between the components of metacognition and the ability to solve problems. This relationship is expressed by the correlation coefficient rxy = 0.419 with the regression equation y = 61.02 + 0.287x. This means that each metacognition independent variable can increase the average problem solving dependent variable by 0.287 units. Statistically, metacognitive learning is quite effective in solving problems. Based on these final results it can be recommended that virtual learning with a metacognitive model can be used as a new way and becomes a strong motivation for students to improve their ability to solve problems. Keywords: effectiveness, metacognition questionnaire homogeneous, interpretation, virtual learning. AbstrakArtikel ini merupakan hasil penelitian pembelajaran virtual dengan subjek penelitian dua kelompok mahasiswa dan bertujuan untuk mengetahui efektivitas pembelajaran metakognitif sehingga komponen metakognisi dalam memecahkan masalah dapat dianalisis. Penelitian diawali dengan pre-test yang dilanjutkan dengan pembelajaran virtual dan diakhiri dengan pemberian post-test dan angket metakognisi. Selama post-test, diamati aktivitas mahasiswa dalam menyelesaikannya melalui kesadaran, evaluasi, dan regulasi sedangkan angket metakognisi berupa pertanyaan tentang komponen metakognisi. Hasil analisis data menunjukan mahasiswa yang melakukan metakognisi, hasil belajarnya meningkat sehingga ada hubungan antara komponen metakognisi dengan kemampuan menyelesaikan masalah. Hubungan tersebut dinyatakan oleh koefisien korelasi rxy = 0,419 dengan persamaan regresi y = 61,02 + 0,287x. Hal ini berarti bahwa setiap variabel independen metakognisi dapat meningkatkan rata-rata variabel dependen pemecahan masalah sebesar 0,287 satuan. Secara statistika pembelajaran metakognitif cukup efektif dalam pemecahan masalah. Berdasarkan hasil akhir tersebut dapat direkomendasikan bahwa pembelajaran virtual dengan model metakognitif dapat digunakan sebagai cara baru dan menjadi motivasi yang kuat bagi mahasiswa untuk meningkatkan kemampuan dalam menyelesaikan masalah. Kata kunci: angket metakognisi, efektivitas, homogen, interpretasi, pembelajaran virtual.