bluuebunny/crossref_metadata_2025 huggingface dataset:
El rol del Liderazgo Sistémico en Instituciones de Educación Superior en México
Authors: Vázquez Mendoza José Hugo , Vázquez Martínez Nallely , Vázquez Martínez Rosa Alejandra
Published: November 2023

Este artículo pretende respaldar una perspectiva más extensa sobre el rol del liderazgo en instituciones de educación superior mexicanas y su entorno. El artículo investiga el concepto su relevancia y  antecedentes, el fin es  contribuir teóricamente en el conocimiento del liderazgo sistémico  que suele utilizarse con gran continuidad en las instituciones de educación superior en México, de esta manera da pie a trabajar sistemática y sinérgicamente entre los miembros, hasta transformarse en un equipo de trabajo que marcha hacia lo sostenible,  por lo tanto profundizan continuamente desde sus propias fortalezas y potencialidades para crear práctica gerenciales con base en un liderazgo integrador con el fin de alcanzar la mayor efectividad posible en el cumplimiento de las metas planteadas.  Es el propósito de este artículo ampliar los conocimientos y hallazgos sobre el rol del liderazgo sistémico en instituciones de educación superior en México.
Enrique Silvestre García Vega, La meritocracia como forma de gobierno: origen, evolución y desafíos. Lima: Fundación M. J. Bustamante de la Fuente, 2020; 517 p.
Authors: Balladares de la Piniella Oscar Alberto
Published: November 2023

En esta obra, Enrique Silvestre García Vega, abogado, historiador, genealogista y escritor ya reconocido por varios libros, nos introduce con erudición y compromiso intelectual en la historia de las instituciones públicas en el Perú. Como en obras anteriores, no oculta su postura monárquica al describir el desarrollo de la administración pública en el Perú virreinal y su gradual decadencia a lo largo del período republicano. Por ejemplo, el autor no duda en hablar de “guerra separatista” en lugar de “guerra de independencia”, o en llamar “invasión chilena de 1820” a la Expedición Libertadora del Perú, fuerza militar que efectivamente fue organizada en Chile y comandada por José de San Martín. De este modo, la obra cuestiona el sistema republicano o, en todo caso, la forma en que este se impuso, llevándonos a la idea, hoy quizá difícil de refutar, de doscientos años de crisis política.
Students' Perspectives on Using M-Reader to Support Extensive Reading Initiatives for Non-English Majors
Authors: Alajaili Hetham M Alfaitori , Barella Yusawinur
Published: November 2023

This research aims to explore the perspectives of non-English major students on the use of M-Reader as a tool for supporting extensive reading initiatives. The study investigates the effectiveness of M-Reader in enhancing reading skills, vocabulary acquisition, and fostering a love for reading in the target language. The research also examines students' experiences, satisfaction, and challenges faced while using M-Reader. By understanding students' perspectives, the study provides valuable insights for educators and curriculum developers to optimize the use of M-Reader in supporting extensive reading initiatives for non-English majors. The study adopts a quantitative descriptive research methodology to collect data and analyse the perspectives of the students. Surveys or questionnaires were employed to gather quantitative data, enabling a systematic and structured approach to acquire information about the participants' attitudes, perceptions, and experiences concerning the usage of M-Reader. The survey instruments are designed to elicit quantitative responses, such as ratings on a Likert scale or multiple-choice questions, thus producing numerical data that can be statistically analysed. This quantitative approach empowers the researchers to identify trends, patterns, and correlations within the data, facilitating a comprehensive comprehension of the students' outlook on the effectiveness and usability of M-Reader in supporting their extensive reading programs. The findings from this research contribute to the existing knowledge on the impact and utility of digital tools like M-Reader in language learning contexts.
STUDI DESKRIPTIF: EVALUASI PEMBELAJARAN IPS SEKOLAH DASAR MELALUI APLIKASI QUIZIZZ
Authors: Andy Dimontiq Salsabilla Putri , Setiawan Fajar , Naila Ishmatun
Published: November 2023

Penelitian ini bertujuan untuk mengetahui evaluasi pembelajaran IPS melalui aplikasi quizizz di SD Hidayatul Ummah Surabaya. Metode penelitian yang digunakan adalah penelitian kualitatif dengan pendekatan deskriptif. Subyek penelitian ini adalah peserta didik kelas 5 SD Hidayatul Ummah Surabaya yang berjumlah 26 siswa. Proses pengumpulan data dilakukan melalui metode wawancara, dokumentasi dan Kuisioner. Hasil penelitian menunjukkan bahwa evaluasi pembelajaran IPS Sekolah Dasar  melalui aplikasi quizizz memudahkan guru serta siswa dalam  evaluasi pembelajaran IPS kelas 5  Sekolah Dasar.
KURIKULUM MERDEKA SEBAGAI INOVASI MENJAWAB TANTANGAN ERA SOCIETY 5.0 DI SEKOLAH DASAR
Authors: Lestari Nyoman Ayu Putri , Wahyuni Luh Tu Selpi , Lasmawan I Wayan , Suastra I Wayan , Dewi Made Sri Astika , Astuti Ni Made Ignityas Prima
Published: November 2023

Kurikulum Merdeka adalah inovasi pendidikan yang merespon perubahan zaman di era Society 5.0. Penelitian ini melakukan literatur review untuk mendalami konsep Kurikulum Merdeka dan mengidentifikasi kontribusinya terhadap pendidikan dasar. Hasil penelitian menunjukkan bahwa Kurikulum Merdeka berupaya mempersiapkan peserta didik dengan keterampilan abad ke-21 yang dibutuhkan di tengah revolusi industri 4.0. Dalam rangka memungkinkan implementasinya yang efektif, diperlukan perubahan paradigma pendidikan, pengembangan kompetensi guru, serta dukungan dari berbagai stakeholder pendidikan. Kurikulum Merdeka memberikan peluang untuk membangun siswa yang mandiri, kreatif, dan mampu beradaptasi dengan perubahan sosial dan teknologi di era Society 5.0. Studi literatur ini memberikan wawasan tentang esensi Kurikulum Merdeka dalam konteks pendidikan dasar yang relevan dengan tantangan zaman.
PENGEMBANGAN SOAL IPAS SEKOLAH DASAR BERBASIS HIGHER ORDER THINKING SKILLS
Authors: Moinewa Yohana Anjelina , Laksana Dek Ngurah Laba , Dolo Fransiskus Xaverius , Kua Maria Yuliana
Published: November 2023

Pengembangan soal tes berbasis HOTS dirasa sangat penting dikembangkan di Sekolah Dasar untuk mengembangkan keterampilan berpikir tingat tinggi siswa. Berdasarkan hasil studi pendahuluan di Sekolah Dasar ditemukan kurangnya pengembangan soal tes yang mengembangkan keterampilan berpikir tingkat tinggi siswa. Penelitian ini bertujuan untuk mengembangkan soal tes berbasis HOTS yang dikemukakan oleh Bloom revisi  C4 (menganalisis), C5 (mengevaluasi), C6 (mencipta). Penelitian dilakukan menggunakan metode DBR (Desigen-Based-Research) yang dikemukaakan oleh Reeves tahun 2007. Tahap pertama pada studi pendahuluan diperoleh data dari hasil wawancara dan studi dokumentasi. Tahap kedua dilakukan pengembangan soal HOTS sesuai dengan indikator pembelajaran pada tema zat dan perubahannya yang dilakukan menggunakan model latihan penelitian. Tahap tiga, dilakukan validasi ahli dan mengalami revisi I dan dilakukan uji coba I. Pada hasil uji coba I  dilihat dari validitas, reliabilitas, terdapat 5 soal yang harus diperbaiki. Dilakuan revisi II dan dilakukan uji coba II dengan hasil semua soal valid dan reliabel. Hasil akhir pada tahap empat menunjukan bahwa produk soal berupa 10 butir soal pilihah ganda dan 5 soal essay yang dikembangkan valid, praktis, dan layak untuk digunakan.

Kata kunci : Soal tes, HOTS, model pembelajaran latihan penelitian, zat dan perubahannya.
PROYEK KEWIRAUSAHAAN, KEARIFAN LOKAL, REKAYASA DAN TEKNOLOGI DALAM PENGUATAN PROFIL PELAJAR PANCASILA
Authors: Muhammad Rezal Fahrudin  , Patmisari
Published: November 2023

Penelitian ini bertujuan untuk mengetahui peran sekolah dalam penguatan profil pelajar Pancasila berbasis proyek dan faktor pendukung juga penghambat pelaksanaan proyek penguatan profil pelajar Pancasila di SMP Negeri 2 Teras. Metode deskriptif kualitatif digunakan untuk mengumpulkan data melalui observasi, wawancara dan dokumentasi. Hasil penelitian ini bahwa penguatan profil pelajar Pancasila di SMP Negeri 2 Teras dilakukan melalui proyek berupa kegiatan mengidentifikasi masalah yang ada di sekitar, menciptakan suatu produk yang bernilai jual, dan melek teknologi. Pelaksanaan proyek penguatan profil pelajar Pancasila di SMP Negeri 2 Teras terdiri dari 3 tema yaitu kewirausahaan, kearifan lokal, dan rekayasa teknologi. Faktor pendukung pelaksanaan proyek penguatan profil pelajar Pancasila yaitu fasilitas yang memadai, semangat dan antusiasme peserta didik, dan dukungan wali/orang tua peserta didik. Sedangkan faktor penghambat pelaksanaan proyek penguatan profil pelajar Pancasila yaitu perbedaan karakteristik peserta didik dan proyek penguatan profil pelajar Pancasila bagian dari kurikulum baru.
PENGARUH MODEL DIRECT READING ACTIVITIES BERBANTUAN MEDIA PERMAINAN TEKA-TEKI SILANG PADA MINAT MEMBACA SISWA SEKOLAH DASAR
Authors: Muhsam Julhidayat , Bagus Putrayasa Ida , Sudiana I Nyoman
Published: November 2023

Penelitian ini bertujuan untuk mengetahui pengaruh model Direct Reading Activities (DRA) berbantuan media permaianan teka teki silang yang signifikan terhadap minat membaca siswa Kelas V SD Negeri 1 Naioni Kupang. Jenis penelitian yang digunakan adalah Penelitian quasi eksperimental. Populasi adalah siswa SD Negeri 1 Naioni Kupang kelasV tahun ajaran 2022/2023. Sampel dalam penelitian ini adalah siswa kelas VA sebagai kelas eksperimen dan siswa kelas VB sebagai kelas kontrol dengan menggunakan teknik purposive sampling. Teknik pengumpulan data meliputi: observasi, angket dan dokumentasi. Selanjutnya dianalisis menggunakan statistic inferensial dan uji t. Hasil penelitian yang diperoleh bawah nilai rata-rata kelas eksperimen 112,04 dan untuk kelas kontrol 91,72. Hasil penelitian diperoleh nilai uji-t pada taraf ???? 0,05 dengan df diperoleh nilai sig 0,000 < 0,05 maka H0 ditolak dan H1 diterima. Disimpulkan bahwa ada pengaruh Model Direct Reading Activities (DRA) Berbantuan Media Permaianan Teka Teki Silang pada Minat Membaca Siswa Kelas V SD Negeri 1 Naioni Kupang.
Ein neuer Nachweis der regional seltenen Kugelfliege Acrocera orbiculus (Fabricius, 1787) (Dipt. Acroceridae) in Schleswig-Holstein
Authors: Sörensen Uwe
Published: November 2023

A record of the spider fly Acrocera orbiculus in 2022, a species rarely found in Schleswig-Holstein, is described. In addition to the circumstances of the observation and the physique of the caught specimen,
the special biology and distribution of the species and family of spider flies are discussed.
Atmospheric cosmic ray induced ionization and radiation affecting aviation
Authors: Makrantoni Panagiota , Tezari Anastasia , Stassinakis Argyris N , Paschalis Pavlos , Gerontidou Maria , Mavromichalaki Helen , Usoskin Ilya , Crosby Norma , Dierckxsens Mark
Published: November 2023

Cosmic radiation is a major factor of ionization of the Earth's atmosphere. Both solar and galactic cosmic rays, which depend on solar activity and geomagnetic field, affect the radiation exposure in the atmosphere.
Several models have been created for the estimation of the ionization and radiation dosimetry. In this work, as regards the ionization rate computations the CRAC:CRII model by the University of Oulu
(https://cosmicrays.oulu.fi/CRII/CRII.html) was used, while for the estimation of the ambient equivalent dose rate (dH*(10)/dt) we used the validated software DYASTIMA / DYASTIMA-R by the University of
Athens (http://cosray.phys.uoa.gr/index.php/applications/dyastima). Both tools are of great importance as they allow us to calculate the respective quantities all over the globe, at the entire atmosphere
and for different time periods and solar cycle phases. The study concerns the last two solar cycles 23 and 24 (1996–2019) and specific flight levels of commercial aviation (FL310, FL350 and FL390).
The dependance of CRII and dH*(10)/dt on geomagnetic cut-off rigidity, solar activity, cosmic ray intensity, as well as the altitude inside the atmosphere, affect the radiation exposure of the air crew members and
frequent flyers, which make the results very interesting for the aviation industry.
Calgary neutron monitor efficiency factor estimation after major renovation
Authors: Bland Clifford John , Kouznetsov Alexei F.
Published: November 2023

Neutron monitor data which are used for studies of long-term variations, require a means for correcting for changes in efficiency following major renovations. We propose a means to obtain the required “efficiency factor”
using multiple regression which, to a first-order approximation, considers solar modulation as well as any changes in the neutron monitor sensitivity over time.
Spectral Templates Optimal for Selecting Galaxies at z > 8 with the JWST
Authors: Larson Rebecca L. , Hutchison Taylor A. , Bagley Micaela , Finkelstein Steven L. , Yung L. Y. Aaron , Somerville Rachel S. , Hirschmann Michaela , Brammer Gabriel , Holwerda Benne W. , Papovich Casey , Morales Alexa M. , Wilkins Stephen M.
Published: November 2023

The selection of high-redshift galaxies often involves spectral energy distribution (SED) fitting to photometric data, an expectation for contamination levels, and measurement of sample completeness—all vetted through comparison to spectroscopic redshift measurements of a sub-sample. The first JWST data are now being taken over several extragalactic fields to different depths and across various areas, which will be ideal for the discovery and classification of galaxies out to distances previously uncharted. As spectroscopic redshift measurements for sources in this epoch will not be initially available to compare with the first photometric measurements of z > 8 galaxies, robust photometric redshifts are of the utmost importance. Galaxies at z > 8 are expected to have bluer rest-frame ultraviolet (UV) colors than typically used model SED templates, which could lead to catastrophic photometric redshift failures. We use a combination of BPASS and Cloudy models to create a supporting set of templates that match the predicted rest-UV colors of z > 8 simulated galaxies. We test these new templates by fitting simulated galaxies in a mock catalog, Yung et al., which mimic expected field depths and areas of the JWST Cosmic Evolution Early Release Science Survey (m
5σ
∼ 28.6 over ∼100 arcmin2). We use EAZY to highlight the improvements in redshift recovery with the inclusion of our new template set and suggest criteria for selecting galaxies at 8 < z < 10 with the JWST, providing an important test case for observers venturing into this new era of astronomy.
Anisotropic Star Clusters around Recoiling Supermassive Black Holes
Authors: Akiba Tatsuya , Madigan Ann-Marie
Published: November 2023

Gravitational-wave recoil kicks from merging supermassive black hole binaries can have a profound effect on the surrounding stellar population. In this work, we study the dynamic and kinematic properties of nuclear star clusters following a recoil kick. We show that these postkick structures present unique signatures that can provide key insight to observational searches for recoiling supermassive black holes. In our previous paper, we showed that an in-plane recoil kick turns a circular disk into a lopsided, eccentric disk such as the one we observe in the Andromeda nucleus. Building on this work, here we explore many recoil kick angles as well as initial stellar configurations. For a circular disk of stars, an in-plane kick causes strong apsidal alignment with a significant fraction of the disk becoming retrograde at large radii. If the initial orbits are highly eccentric, an in-plane kick forms a bar-like structure made up of two antialigned lopsided disks. An out-of-plane kick causes clustering in the argument of periapsis, ω, regardless of the initial eccentricity distribution. Initially, isotropic configurations form anisotropies in the form of a torus of eccentric orbits oriented perpendicular to the recoil kick. Postkick surface density and velocity maps are presented in each case to highlight the distinct, observable structures of these systems.
Neutron Star Kicks and Implications for Their Rotation at Birth
Authors: Fragione Giacomo , Loeb Abraham
Published: November 2023

Neutron stars are born out of core-collapse supernovae, and they are imparted natal kicks at birth as a consequence of asymmetric ejection of matter and possibly neutrinos. Unless the force resulting from the kicks is exerted exactly at their center, it will also cause the neutron star to rotate. In this paper, we discuss the possibility that neutron stars may receive off-center natal kicks at birth, which imprint a natal rotation. In this scenario, the observed pulsar spin and transverse velocity in the Galaxy are expected to correlate. We develop a model of the natal rotation imparted to neutron stars and constrain it by the observed population of pulsars in our Galaxy. When considering a single-kick position parameter, we find that the location of the off-center kick is

R

kick

=

2.03

−
1.69

+
3.74

km at 90% confidence, and is robust when considering pulsars with different observed periods, transverse velocities, and ages. Nonetheless, the model encounters challenges in effectively fitting the data, particularly at small transverse velocities, prompting the exploration of alternative models that include more complex physics. Our framework could be used as a guide for core-collapse simulations of massive stars.
The Discovery of 63 Giant Radio Galaxies in the FIRST Survey
Authors: Ramdhanie Soren , Gordon Yjan A. , Andernach Heinz , Hooper Eric J. , Sampson Brianna
Published: November 2023

Giant Radio Galaxies (GRGs) are Active Galactic Nuclei with radio emission that extends over projected sizes >0.7  Mpc. The large angular sizes associated with GRGs complicate their identification in radio survey images using traditional source finders. In this Note, we use DRAGNhunter, an algorithm designed to find double-lobed radio galaxies, to search for GRGs in the Faint Images of the Radio Sky at Twenty cm survey. Radio and optical images of identified candidates are visually inspected to confirm their authenticity, resulting in the discovery of 63 previously unreported GRGs.
Challenges and Experiences in Designing Interpretable KPI-diagnostics for Cloud Applications
Authors: Harutyunyan Ashot , Poghosyan Arnak , Harutyunyan Lilit , Aghajanyan Nelli , Bunarjyan Tigran , Vinck A.J. Han
Published: November 2023

Automated root cause analysis of performance problems in modern cloud computing infrastructures is of a high technology value in the self-driving context. Those systems are evolved into large scale and complex solutions which are core for running most of today’s business applications. Hence, cloud management providers realize their mission through a “total” monitoring of data center flows thus enabling a full visibility into the cloud. Appropriate machine learning methods and software products rely on such observation data for real-time identification and remediation of potential sources of performance degradations in cloud operations to minimize their impacts. We describe the existing technology challenges and our experiences while working on designing problem root cause analysis mechanisms which are automatic, application agnostic, and, at the same time, interpretable for human operators to gain their trust. The paper focuses on diagnosis of cloud ecosystems through their Key Performance Indicators (KPI). Those indicators are utilized to build automatically labeled data sets and train explainable AI models for identifying conditions and processes “responsible” for misbehaviors. Our experiments on a large time series data set from a cloud application demonstrate that those approaches are effective in obtaining models that explain unacceptable KPI behaviors and localize sources of issues.
Deep Random Forest and AraBert for Hate Speech Detection from Arabic Tweets
Authors: Daouadi Kheir Eddine , Boualleg Yaakoub , Guehairia Oussama
Published: November 2023

Nowadays, hate speech detection from Arabic tweets attracts the attention of many researchers. Numerous systems and techniques have been proposed to address this classification challenge. Nonetheless, three major limits persist: the use of deep learning models with an excess of hyperparameters, the reliance on hand-crafted features, and the requirement for a huge amount of training data to achieve satisfactory performance. In this study, we propose Contextual Deep Random Forest (CDRF), a hate speech detection approach that combines contextual embedding and Deep Random Forest. From the experimental findings, the Arabic contextual embedding model proves to be highly effective in hate speech detection, outperforming the static embedding models. Additionally, we prove that the proposed CDRF significantly enhances the performance of Arabic hate speech classification.
Pour une politique d’assainissement de la dette publique par la baisse de la dépense publique
Authors: Facchini François
Published: November 2023

Cet article se place dans une tradition des sciences économiques finalement peu présente en France dans les débats autour de la dette, à savoir la nouvelle économie politique. Il soutient que le gouvernement devrait dégager des excédents budgétaires grâce à une baisse des dépenses publiques pour stimuler la croissance économique et donner ainsi aux acteurs des marges de manœuvre pour s’adapter aux conséquences du dérèglement climatique. Il rappelle, en introduction, l’actualité des débats et explique pourquoi la question posée par la dette publique porte plus sur les bienfaits des dépenses publiques que sur les déficits. Une dette publique n’est pas productive en elle-même. Elle est productive si elle finance des dépenses productives. L’existence d’une courbe de BARS pour la France à hauteur probablement d’un ratio dépenses publiques sur PIB de 30 % et l’échec relatif des conférences internationales pour le climat, conduisent à soutenir une politique d’austérité expansive, antikeynésienne et de vérité des prix sur l’énergie et le marché foncier afin de gérer un problème complexe, le climat, par un système complexe, le prix. Ne pas réduire la dette publique serait, pour ces raisons, réduire la capacité de résilience de l’économie française face aux chocs à venir (climatiques, démographiques, sanitaires et/ou militaires). Privatiser les entreprises publiques et certains services publics et baisser les coûts de production des services publics seraient, au contraire, un moyen de l’accroître et de préserver l’intérêt des générations futures.
Biothérapies : s’adapter aux spécificités des médicaments de thérapies innovantes
Authors: Hulot Thierry
Published: November 2023

L’utilisation des biomédicaments, et en particulier des médicaments de thérapie innovante, se généralise et draine avec elle de nouvelles problématiques. Afin d’accompagner au mieux leur arrivée sur le marché français, les entreprises du médicament ont identifié trois enjeux principaux pour le système de soins, liés à la recherche clinique, à l’organisation intra-hospitalière et au parcours des patients qui vont en être largement modifiés.
Biothérapies : opportunités et accessibilité
Authors: Fischer Alain
Published: November 2023

Les progrès de la recherche biomédicale conduisent à l’émergence de nombre de médicaments innovants issus des biothérapies : protéines recombinantes, anticorps monoclonaux, thérapie génique et thérapie fondée sur les ARN. Ces biothérapies sont utilisées comme traitement de cancers, de maladies inflammatoires, de maladies génétiques et en vaccination. Les perspectives sont encore plus prometteuses. Toutefois, ces médicaments innovants sont commercialisés à des prix très élevés qui mettent en péril leur accessibilité future pour l’ensemble de la population. De nouvelles règles d’établissement des prix doivent être élaborées à l’échelle internationale pour préserver l’équilibre entre intérêt privé et bien public. L’hypothèse de la production de centaines de ces médicaments par des entités sans but lucratif doit être également envisagée.
Some generalizations for the Schwarz-Pick lemma and boundary Schwarz lemma
Authors: Cai Fangming , Rui Jie , Zhong Deguang
Published: November 2023

In this paper, we first obtain a Schwarz-Pick type lemma for the holomorphic self-mapping of the unit disk with respect to the $ q $-distance. Second, we establish the general Schwarz-Pick lemma for the self-mapping of the unit disk satisfying the Poisson differential inequality. As an application, it is proven that this mapping is Lipschitz continuous with respect to the $ q $-distance under certain conditions. Moreover, the corresponding explicit Lipschitz constant is given. Third, it is proved that there exists a self-mapping of the unit disk satisfying the Poisson differential inequality, which does not meet conditions of the boundary Schwarz lemma. Finally, with some additional conditions, a boundary Schwarz lemma for the self-mapping of the unit disk satisfying the Poisson differential inequality is established.
$ G^2/C^1 $ Hermite interpolation of offset curves of parametric regular curves
Authors: Ahn Young Joon
Published: November 2023

In this paper we presented a method of $ G^2 $ Hermite interpolation of offset curves of regular plane curves based on approximating the normal vector fields. We showed that our approximant is also $ C^1 $ Hermite interpolation of the offset curve. Our method is capable of achieving circular precision. Another advantage of our method is that if the input curve is a polynomial curve, then our method also yields a polynomial curve. Our approximation method was applied to numerical examples and its numerical results were compared to previous offset approximation methods. It was observed that our method is almost optimal with respect to the number of control points of the approximation curves for the same tolerance.
Message sharing scheme based on edge computing in IoV
Authors: Niu Shufen , Liu Wei , Yan Sen , Liu Qi
Published: November 2023

With the rapid development of 5G wireless communication and sensing technology, the Internet of Vehicles (IoV) will establish a widespread network between vehicles and roadside infrastructure. The collected road information is transferred to the cloud server with the assistance of roadside infrastructure, where it is stored and made available to other vehicles as a resource. However, in an open cloud environment, message confidentiality and vehicle identity privacy are severely compromised, and current attribute-based encryption algorithms still burden vehicles with large computational costs. In order to resolve these issues, we propose a message-sharing scheme in IoV based on edge computing. To start, we utilize attribute-based encryption techniques to protect the communications being delivered. We introduce edge computing, in which the vehicle outsources some operations in encryption and decryption to roadside units to reduce the vehicle's computational load. Second, to guarantee the integrity of the message and the security of the vehicle identity, we utilize anonymous identity-based signature technology. At the same time, we can batch verify the message, which further reduces the time and transmission of verifying a large number of message signatures. Based on the computational Diffie-Hellman problem, it is demonstrated that the proposed scheme is secure under the random oracle model. Finally, the performance analysis results show that our work is more computationally efficient compared to existing schemes and is more suitable for actual vehicle networking.
Užaljena gospa Artemizija ali Kristus nam je danes rojen: celjske kontrafakture operne arije Giuseppa Gazzanige
Authors: Kokole Metoda
Published: November 2023

La vendemmia (1778) Giuseppa Gazzanige se je ohranila v vsaj sedmih izvirnih rokopisnih partiturah iz 18. stoletja. O priljubljenosti nekaterih točk pričajo tudi njihovi dodatni prepisi. Tradicionalna da capo arija »Più dell’onde e più del vento« je v 19. stoletju v lokalnem okolju cerkve sv. Danijela v Celju služila kot osnova latinski duhovni kontrafakturi in še eni nemški posvetni kontrafakturi.
HYBRID OPTIMIZATION ENABLED SEGMENTATION AND DEEP LEARNING FOR BREAST CANCER DETECTION AND CLASSIFICATION USING HISTOPATHOLOGICAL IMAGES
Authors: Salim Samla , Sarath R.
Published: November 2023

Breast cancer detection is a highly fatal disease and is normally detected considering histopathological images (HPIs). However, the complexity of the HPIs makes it challenging to detect breast cancer accurately. Further, manual detection is highly time-consuming and subjective and depends on the experience of the medical professionals. To overcome these issues, an effective deep learning (DL) method for detecting breast cancer from HPIs is proposed. Here, the proposed approach is realized using various processes, such as pre-processing, blood cell segmentation, feature extraction, and classification. Segmentation is accomplished using the SegAN, and classification is performed using the deep convolutional neural network (DCNN). Both networks are trained using the proposed invasive water Ebola optimization (IWEO) algorithm. The efficiency of breast cancer detection is improved by using various features, such as shape features, histogram of gradients (HOG) and local gradient patterns (LGP). Further, the IWEO-DCNN is inspected for its dominance by considering measures, such as accuracy, test negative rate (TNR) and test positive rate (TPR), and the experimental results show that the IWEO-DCNN attained a maximal accuracy of 0.963, TNR of 0.963 and TPR of 0.950.
Explanatory Writing
Authors: Magiera Marta T. , Al-younes Mohammad
Published: November 2023

This chapter contributes to broader research on mathematical discourse and its multimodal forms that reveal how students interpret, make meanings in mathematics, and communicate their understandings. Central to this chapter is explanatory writing in mathematics, which targets a specified audience to explain and transmit mathematical ideas. In the context of a mathematics problem-solving course and focusing on contextual problem-solving situations, this chapter illustrates how explanatory writing in mathematics offers a window into prospective elementary school teachers' (PTs') reasoning and communication skills. The chapter highlights PTs' strategic reasoning and sense-making and describes how they communicate their problem solutions. It provides mathematics teacher educators with insights into how PTs think about contextual problem situations, offering directions for planning how to help PTs develop new ways of thinking. This chapter also includes suggestions for future research on PTs' learning to construct written mathematical explanations.
Mathematical Writing, Teacher Noticing, and Text Clubs
Authors: Bywater James P. , Lilly Sarah , Chiu Jennifer L.
Published: November 2023

This chapter explores how using explanatory mathematical student writing artifacts can be used to position teachers to attend to, interpret, and respond to student mathematical thinking from an iterative and engaged stance. This chapter argues that as conceptualizations of teacher noticing shift from a view that is linear and detached to a view that is iterative and engaged, a corresponding shift should occur in the learning to notice activities that pre-service teachers engage in. The chapter proposes the idea of text clubs, and explores, with two illustrative examples, how pre-service teacher discussions that center explanatory mathematical student writing artifacts offer a potential alternative to the predominant role of video clubs that center teaching video artifacts, and how this approach may support the advancement of new paths for mathematical writing research.
A Framework for Assessing Students' Written Explanations of Numerical Reasoning
Authors: Quebec Fuentes Sarah , Crawford Lindy , Rowe Ashley , Huscroft-D'Angelo Jacqueline
Published: November 2023

Disciplinary writing in mathematics supports the use of words, symbols, and visual representations, allowing one to communicate more fully in writing than through speech alone. This chapter explores the disciplinary writing of 394 fourth-grade students who shared their numerical reasoning in written explanations to seven whole-number and fraction comparison tasks. Data were collected via whole group administration procedures and students' explanations were scored using a validated framework for evaluating numerical reasoning. Results include descriptive statistics and qualitative analyses of student responses using the framework's five categories. A difference was found between the types of reasoning students shared for whole-number tasks versus those shared for fraction comparison tasks, favoring the incorporation of more conceptual reasoning for whole-number tasks. The framework is a practical and effective tool that teachers can use to examine the depth of student reasoning and disciplinary writing to document such reasoning.
A Special Kind of Brave
Authors: Rice Matthew D.
Published: November 2023

Schools in the United States have long supported cisgender heterosexuality as the only healthy moral option for adult life. LGBTQIA+ adults, even some cis-het allies, are weathering the terrifying hostility and increasingly facing the experience of being doxxed for supporting LGBTQIA+ youth. Some are even losing their jobs. LGBTQIA+ professional educators face discrimination, marginalization, and silencing, especially for supporting gender-diverse youth. Students need models of healthy LGBTQIA+ adult life and healthy gender-diverse adults. They need to see cisgender heterosexual adults warmly including their gender-diverse colleagues, to model the expectations of modern healthy workplace relationships. Happy, healthy LGBTQIA+ adults are an antidote to LGBTQIA+ young people's despair. By seeing people like themselves living happy, well-integrated adult lives in their communities, LGBTQIA+ youth clearly understand that adulthood is possible.
It Is Only Love That Teaches
Authors: Brown Jason Ross
Published: November 2023

This chapter presents a potent combination of personal testimony and scholarly analysis that highlights the unyielding resilience of Black youth navigating the challenging landscape of American educational institutions. The chapter's narrative emphasizes the crucial roles of familial love, community support, and cultural affirmation as defenses against the damaging effects of systemic bias and the pervasive anti-Blackness within our schools. This chapter delves into the harmful influence of anti-Blackness on both students and teachers, advocating for the revolutionary concept of centering love in our teaching methods. The author presents a sociological exploration of the transformative power of love, understanding, and resilience in education. This chapter serves as a powerful testament to the revolutionary potential of love to disrupt the machinery of anti-Blackness and white supremacy in America's educational landscape.
You Gotta Fight for Your Rights
Authors: Boyer Sabrina
Published: November 2023

This chapter uses an example of a summer program for gifted students run by the Department of Public Instruction in NC called Governor's School to discuss the recent attacks on education through anti-gay laws, attacks on “wokeness” and “woke education,” as well as race and gender as concepts in curriculum and the classroom across the country. Using the author's personal experience as an instructor at the NC Governor's School, the author addresses the attacks on education through a neoliberalist lens, invoking theorist Michel Foucault, surveillance, transparency, and power.
Looking Forward/Looking Back
Authors: Colonna Sarah E.
Published: November 2023

Students arrive excited to be in college, but when the semester starts there is a seemingly shared, static view of what a college education is. That static notion includes the teacher having the knowledge and the students showing up to class to be filled with that information to then regurgitate on a high-stakes test. The author is genuinely curious about students' reactions to course reading; even when the students are convinced that the author has predetermined notions of what the “best” things to get out of the reading are, the author often challenges that assumed banking model of education where the teacher knows best, and learning is just a means to a grade to talk about how to leverage all the resources that being on a college campus opens up for them inside the classroom and across campus. A great part of this job is meeting students at the very start of their college experience. This location, at the very start of students' time in college, gives the author a unique perspective on how students bridge K-12 school with college.
Ecocídio dos corpos: sobre a saúde no neoliberalismo
Authors: Ramos Daltro Mônica , De Faria Anna Amélia , Ferreira Danon Carlos Alberto
Published: November 2023

Esse ensaio traçar uma análise de algumas interações entre corpo, saúde, política e poder ao longo do tempo, explorando como essas interações moldam nossas percepções individuais e coletivas e influenciam as trajetórias históricas e sociais, especialmente no contexto brasileiro. Três categorias de análise desenham as leituras sobre o trinômio corpo, saúde e política que são historicizadas a partir das: Trajetórias na Modernidade, Trajetórias Neoliberais na Atualidade e Fragmentos de Trajetórias Brasileiras. O objetivo é historizar como o corpo enquanto categoria é objeto de controle e subordinação pela ciência, moldado por categorias normativas, referenciais hegemônicos e estruturas de poder. Saúde e suas derivações conceituais têm sido enodadas ao determinista modelo universalizante moderno/colonial, que projeta formas de ser, adoecer e sucumbir em uma perspectiva de vida que estratifica viveres. As trajetórias são historicidades sobre as concepções da saúde e de corpo, realçando os efeitos da lógica moderna de adestramento pelo biopoder e de consumo na lógica neoliberal da psicopolítica. Discute-se como corpo-físico, corpo-pessoa espelha sentidos e significados de eus e de nós, subjetividades e coletividades tramando coreografias de corpos que se associam ao território por uma expressão de cultura, contemplando cumplicidades, dissidências, insurgências, negociações e enfrentamentos. Por fim, sinaliza recortes da violenta trajetórias brasileira onde o ecocídio é tramado.
How artificial intelligence during the pandemic modified the role of a biomarker as d-dimer
Authors: Di Micco Pierpaolo , Bernardi Francesca Futura , Fusco Giovanni Maria , Perrella Alessandro
Published: November 2023

Artificial intelligence (AI) was introduced in medicine to make some difficult decision-making regarding diagnostics and/or treatments easy. Its application derives from the improvement of information obtained with computer sciences and informatics, in particular with information derived by algorithms obtained with special informatics support as machine learning. The scenario of hospital changes induced by the COVID-19 pandemic makes easy the application of AI for some clinical updates. Being lung failure with pulmonary embolism is the most common cause of death for inpatients with COVID-19, some biomarkers such as the d-dimer are constantly used associated with other clinical features in order to improve medical assistance. For this reason, d-dimer during the pandemic changed its traditional use for predictive negative value in patients with suspected pulmonary embolism and took relevance for its values giving the chance to change the intensity of anticoagulation for several inpatients. In most cases, according to data reported from several cohorts, these changes improved the morbidity and mortality of a significant percentage of inpatients with COVID-19. The International medical prevention registry on venous thromboembolism and d-dimer and modified sepsis-induced coagulopathy scores were the most used scores derived from AI and dedicated to these clinical aspects in inpatients with COVID-19. Therefore, this review was dedicated to flexible changes that we can use after d-dimer values in different clinical scenarios that vary from disseminated intravascular coagulation to pulmonary embolism to COVID-19.
Effects of water level management on lake littorals and downstream river areas
Authors: Boggero Angela , Rogora Michela , Quadroni Silvia
Published: November 2023

The Interreg “Parks Verbano Ticino” (PVT) project was conceived within the technical committee dedicated to the “Experimentation of the regulation of the Lake Maggiore levels” following the requests of the water manager to raise the spring-summer maximum levels of the lake compared to the levels normally held in the same period to respond to the industrial, agricultural, touristic, and environmental needs...
Multidecadal analysis of Lake Garda water balance
Authors: Hinegk Luigi , Adami Luca , Piccolroaz Sebastiano , Amadori Marina , Moretti Marcello , Tubino Marco , Toffolon Marco
Published: November 2023

Lake Garda, the largest in Italy, is a major source of water supply inserted in a trans-regional area, sustaining an ever-increasing variety of water interests since the XX century. We perform a multidecadal (1928-2020) water balance, estimating the long-term evolution of the input and output components under changing anthropogenic and climatic stressors. First, we present our hydrometeorological database, assembled through a consistent effort of collection and digitization of data from different sources. Then, we analyse the annual water balance, assessing the magnitude of the residual term, i.e. the unknown term that embeds uncertainties and potential sources of error, closing the water balance equation. Uncertainties are investigated by applying a multi-method analysis for over-lake evaporation and basin evapotranspiration. Land use evolution, contributions from the Mount Baldo area as well as the potential role of groundwater fluxes are additionally analysed. Eventually, we compute a sensitivity analysis to delineate the role of each component on the lake’s level and outflow variations. The long-term analysis allows for distinguishing some trends in the input and output components of the water balance. Differences emerge in the periods before and after the lake’s impoundment (1951), and some effects of climate modifications appear in the last decades. Precipitation over the basin has a major influence on the water availability within the basin, a result confirmed by the sensitivity analysis. The entity of the residual term, which represents the unaccounted contributions, calls into question the role of the groundwater fluxes and the time scale of the analysis. The multi-method analysis highlights the dependency of the different lake evaporation and basin evapotranspiration methods on the amount of data available.
Empowering Africa's healthcare future: the crucial role of human capital development in bio- and pharmaceutical manufacturing
Authors: Mynhardt Michael , Mwila Chiluba , Habtemariam Mahlet K. , Tshangela Akhona , Martinez Mar , Ngongo Ngashi , Kaseya Jean , Ndembi Nicaise
Published: November 2023

Not available.
Andrographis paniculata extract versus placebo in the treatment of COVID-19: a double-blinded randomized control trial
Authors: Kanokkangsadal Puritat , Mingmalairak Chatchai , Mukkasombat Nichamon , Kuropakornpong Pranporn , Worawattananutai Patsorn , Khawcharoenporn Thana , Sakpakdeejaroen Intouch , Davies Neal M. , Itharat Arunporn
Published: November 2023

Background and purpose:

Andrographis paniculata (Burm.f.) Nees has been recommended to relieve symptoms and decrease the severity of COVID-19. The clinical study aimed to investigate the efficacy and safety of A. paniculata ethanolic extract (APE).

Experimental approach:

The efficacy and safety of APE in asymptomatic or mildly symptomatic COVID-19 patients compared with placebo were investigated through a prospective, double-blind randomized control trial. Patients received APE containing 60 mg of andrographolide, three times a day for five days. WHO progression scale, COVID-19 symptoms, and global assessment evaluated the efficacy and adverse events, liver and renal functions were monitored for safety.

Findings/Results:

165 patients completed the study (83 patients in the APE group and 82 patients in the placebo group). The highest WHO progression scale was 4 and COVID-19 symptoms were significantly relieved on the last day of intervention in both groups, with no significant difference between groups. APE significantly relieved headache symptoms on day 1 and olfactory loss symptoms on day 2 compared to placebo. The global assessment showed that 80.7% of patients had total recovery after 5-day treatment with APE. Mild diarrhea was the most common side effect with a high dose that resolved within a few days. No hepatic or renal toxicity was associated with treatment.

Conclusion and implications:

APE at 180 mg/day for 5 days did not reduce COVID-19 progression in asymptomatic or mildly afflicted COVID-19 patients, however, it shortened the symptoms of olfactory loss with no adverse effects over 5 days of use.
The reinstatement of the expression phase of morphine-induced conditioned place preference in male Wistar rats under ventral tegmental area stimulation and brief inactivation
Authors: Pour Mozhgan Ghobadi , Alaei Hojjatollah
Published: November 2023

Background and purpose:

Previous research has found that the electrical stimulation of the ventral tegmental area (VTA) is involved in drug-dependent behaviors and plays a role in reward-seeking. However, the mechanisms remain unknown, especially the effect of electrical stimulation on this area. Therefore, this study aimed to investigate how the electrical stimulation and the temporary inactivation of VTA affect the morphine- dependent behavior in male rats.

Experimental approach:

The adult Wistar male rats were anesthetized with ketamine and xylazine. The stimulation electrode (unilaterally) and the microinjection cannula (bilaterally) were implanted into the VTA, stereotaxically. Then, the rats underwent three-day of repeated conditioning with subcutaneous morphine (0.5 or 5 mg/kg) injections, in the conditioned place preference apparatus, followed by four-day forced abstinence, which altered their conditioning response to a morphine (0.5 mg/kg) priming dose on the ninth day. On that day, rats were given high- or low-intensity electrical stimulation or reversible inactivation with lidocaine (0.5 pL/site) in the VTA.

Findings/Results:

Results showed that the electrical stimulation of the VTA with the high intensity (150 μA/rat), had a minimal effect on the expression of morphine-induced place conditioning in rats treated with a high dose (5 mg/kg) of morphine. However, the reversible inactivation of the VTA with lidocaine greatly increased place preference in rats treated with a low dose (0.5 mg/kg) of morphine. Additionally, the reinstatement of 0.5 mg/kg morphine-treated rats was observed after lidocaine infusion into the VTA.

Conclusion and implications:

These results suggest that VTA electrical stimulation suppresses neuronal activation, but the priming dose causes reinstatement. The VTA may be a potential target for deep brain stimulation-based treatment of intractable disorders induced by substance abuse.