bluuebunny/crossref_metadata_2025 huggingface dataset:
Presentación
Authors: Martínez Botero Sebastián
Published: July 2022

Presentación del volumen 6, número 1 correspondiente al primer semestre del año 2022.
Intraperitoneal hemorrhage due to segmental arterial mediolysis associated with cerebral vasospasm after subarachnoid hemorrhage
Authors: Matsuura Chie , Fuchinoue Yutaka , Terazono Sayaka , Kondo Kousuke , harada naoyuki , Sugo Nobuo
Published: July 2022

A man in his 50s with no significant past medical history developed
subarachnoid hemorrhage due to ruptured left middle cerebral artery
aneurysm. 9th hospital day, he experienced a ruptured visceral aneurysm
with segmental arterial mediolysis, and we successfully treated with
transarterial embolization using metallic coils.
Does Fever Response to Acetaminophen Predict Blood Stream Infections in Febrile Neutropenia?
Authors: Mackie Duncan , Kuo Dennis , Paul Megan , Elster Jennifer
Published: July 2022

Background: There is a need to identify clinical parameters for
early and effective risk stratification and prediction of bacterial
blood stream infections (BSI) in patients with febrile neutropenia (FN).
Acetaminophen is used widely to treat fever in
FN; however, little research exists on whether fever response to
acetaminophen can be used as a predictor of BSIs. Objectives:
Investigate the relationship between fever response to acetaminophen and
bacteremia in FN. Design/Method: A retrospective review of
patients (1-21 years old) presenting with FN and bacteremia at Rady
Children’s Hospital (2012-2018) was performed. Demographic information,
presenting signs/symptoms, degree of neutropenia (ANC > 500
or < 500 cells/µL), absolute monocyte count (AMC), blood
culture results, temperatures 1-, 2-, and 6-hours after acetaminophen,
and timing of antibiotic administration were examined. Patients were
stratified into three malignancy categories: leukemia/lymphoma, solid
tumor, and hematopoietic stem cell transplant (HSCT). Patients were
matched with culture negative controls based on sex, age, malignancy
category, and degree of neutropenia. Results: Thirty-five
cohort-control pairs met inclusion criteria (70 presentations of FN).
Mean age of cohort was 10.7 years (± 6.3) vs. 10.0 years (± 5.9) for the
controls. Twenty were female (57%). Twenty-three pairs were categorized
as leukemia/lymphoma (66%), 8 as solid tumor (23%) and 4 as HSCT
(11%). Thirty-four pairs (97%) had a presenting ANC < 500
cells/µL. Higher temperature 1-hour post-acetaminophen was associated
with bacteremia (p = 0.04). Logistic regression demonstrated that
temperature 1-hour post-acetaminophen had significant predictive value
for bacteremia (p = 0.011). Area under the receiver operating
characteristic curves (AUC-ROC) for logistic regression and
classification and regression tree (CART) analysis were 0.70 and 0.71
respectively. Conclusion: While temperature 1-hour
post-acetaminophen was higher among patients with bacteremia and was a
significant predictor of bacteremia, fever response in isolation lacks
sufficient predictive value to impact clinical decision making. Future
studies are needed to assess fever responsiveness as an adjunct to
existing modalities of FN risk stratification.
Characteristics of Sand Transport on the Surface of Transverse Ridge Microtopography
Authors: Jia Wenru , Li Xiuming , Li Qing , Yan Haiming , Xie Baoni , Wei Hao
Published: July 2022

Through wind tunnel experiments, we measured the surface drifting sand
flux structure and sand transport rate at height of 0~70
cm on a bed surface under conditions of ridge microtopography with
different height and different spacing. The results show that the
percentage of sand transport in 0~10 cm layer above the
bed surface is significantly reduced under ridge microtopography
condition compared with no ridges condition. Under ridge microtopography
condition, the percentage of sand transport in 0~10 cm
layer decreases with the increase of ridge height, while it generally
increases with the increase of ridge spacing and wind velocity. Under no
ridges condition, the sand transport rate decreases in a power function
law with the increase of height. The variation of sand transport rate
with height under ridge microtopography condition could be divided into
two cases: one shows that sand transport rate decreases exponentially
with the increase of height, while the other shows that sand transport
rate increases with the increase of height under a certain height, and
above the certain height it decreases exponentially with the increase of
height, known as “elephant nose” effect which seems similar to the
structure of drifting sand flux in Gobi desert. For all the ridge
heights and spacings, the total sand transport rate at height of
0~70 cm increases with the increase of friction velocity
in a power function law, and it increases with the increase of ridge
spacing. The simulation of the drifting sand flux structure and the
relationship between sand transport rate and height shows that the ridge
microtopography reduces the sand transport ratio of near surface air
flow compared with no ridges condition. The results will contribute to
studies on recognizing the process and mechanism of soil wind erosion in
ridge farmland.
Definitions of parasites and pathogens through time
Authors: Kaishian Patricia , Lubbers Maarten , Groot Michiel D. de , Schilthuizen Menno , Haelewaters Danny
Published: July 2022

Scientists ought to apply universally accepted definitions to technical
terms to enable precise communication and discussion. Throughout
history, many definitions have shifted, such as those of important terms
in evolutionary biology, modes of life, and the nature of interactions.
Conversely, throughout history, important terms have been used without
proper definition. Two such terms are parasites and pathogens. An
extensive body of literature considers parasites and pathogens to be
categorically negative, which has resulted in definitions that lack
objectivity and limit a full understanding of the biology of these
organisms. Different interpretations have resulted in shifting
definitions, in turn causing confusion. Here, we present the remarkable
history of both definitions, an overview of alternative definitions put
forward throughout history, and a working definition for both terms. We
find that the line between what is a parasite or a pathogen is often
blurry, and is additionally complicated due to the multi-modal nature of
interactions.
Analysis and simulation of optimized micro-grid
Authors:   NFC Institute of Engineering and Technology, Multan Pakistan, Ali Saqib , Usman Muhammad ,   NFC Institute of Engineering and Technology, Multan Pakistan, Aziz Shahzad ,   NFC Institute of Engineering and Technology, Multan Pakistan, Liaqat Bhatti Muhammad Kamran ,   NFC Institute of Engineering and Technology, Multan Pakistan, Raza Safdar ,   NFC Institute of Engineering and Technology, Multan Pakistan
Published: July 2022

The centralized power grid bears a heavy burden in a time when consumers expect an uninterrupted reliable power supply, a reduction in carbon emissions, increased efficiency within the national grid, and power supplied to remote communities. One such structure is used to implement this type of control that is based on small- scale Distributed Generation (DGs), at a single house or a small building level: micro-grid (μG). A μG is an autonomous, sustainable hybrid framework that uses renewable and non-renewable energy resources to supply continuous electricity to the load. Taking this scenario into account, the three sources of generation that have been utilized in the proposed μG are Photovoltaic (PV) array, Fuel Cell (FC), and Wind Turbine (WT) in this research paper. The active and reactive power of all three generation resources has been controlled using various controllers, i.e., integral, proportional-integral, proportional derivative, proportional integral derivative, fractional-order proportional-integral, Fractional Order Proportional Integral Derivative (FOPID), and Sliding Mode Controller (SMC). An advanced optimization technique based on a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm has been utilized to optimize all these controllers. The integral square error has been taken as the objective function for both optimization algorithms. Finally, a graphical and tabular comparative analysis of all optimized controllers along with their control parameters and performance indexes has been evaluated to find the best optimal solution using MATLAB/Simulink. The performance of SMC has been surpassed the performance of all other optimized controllers for the power stability analysis. Moreover, a smart switching algorithm has been introduced for switching between the generation resources following the load demand and cost of the system to operate the μG more economically. Finally, a case study has been performed in which the smart switching algorithm has been utilized to switch to the best available generation resource in case of any fault at the generation side to provide uninterrupted power to the attached loads.
Statistical analysis of crowd behaviour in catastrophic situation
Authors:   Department of Computer Engineering, University of Engineering and Technology, Lahore Pakistan, Tahir Muhammad Ehtesham , Abbas Nadir ,   Department of Computer Engineering, University of Engineering and Technology, Lahore Pakistan, Hayat Muhammad Faisal ,   Department of Computer Engineering, University of Engineering and Technology, Lahore Pakistan, Nasir Muhammad ,   Department of Computer Engineering, The University of Lahore, Lahore Pakistan
Published: July 2022

Machine learning (ML) is one of the emerging domains in classification and prediction. It is important to understand the responses of individuals in crowd during an earthquake emergency for making appropriate earthquake emergency management plan. Our research is focused on predicting the behaviour of individuals in a crowd during Catastrophic Situation. For this purpose, intended and actual behavioural response of crowd is collected by conducting a series of surveys. The attributes that are selected for result prediction are gender, age, affiliation, health status, training level, nearby exit, earthquake intensity, earthquake location, environmental status, and individual’s response. The dataset thus collected is divided into two crowds, Crowd 1 shows the intended behaviour whereas Crowd 2 shows actual. The decision tree, k-nearest neighbour, Naïve Bayes and neural network machine learning algorithms are used for predicting results. The results are analysed by using Rapid Miner as data mining tool. The dataset is split into two partitions. By applying randomization techniques like simple random sampling, shuffle random sampling, etc. we have trained and tested the machine learning algorithms. The results of this research will be a source of help in understanding critical details about crowd behaviour in earthquake emergency.
Implementation of voice call transfer service between smart phone and tablet through Wi-Fi
Authors: Kolluru Durga , Puchakayala Bhaskara
Published: July 2022

Communication through voice call leads to significant growth in technology in distant areas where two or more people from opposite ends of world will connect. This research describes a case study of voice call transfer service. This research aims at designing a system that will allow Android users to communicate over Wi-Fi. This design is able to transfer voice of incoming telephone caller over Wi-Fi network at real time through UDP. It uses client/server architecture: Server for receiving telephone call and transferring voice (one user) and client for receiving incoming caller voice and enables communication with server. Architecture designed could be used on Android smart phones with telephony enabled and tablets with telephony not enabled. Outcome of this research will allow users to communicate on real time at no cost. Proposed design gives cost effective, reliable and real time voice communication over Wi-Fi. It provides good and comfort experience to users in emergency situation where user cannot effort cost for telephone call. Proposed design is useful for educational organizations, construction buildings, shopping malls and hospitals which point to new possibilities for voice communication.
Performance evaluation of a multicarrier MIMO system based on DFT-precoding and subcarrier mapping
Authors: Muslim Bin , Hussain Muntazir , Hashmi Usman , Aneesullah A , Aamir Muhammad , Zahir Ali
Published: July 2022

The ever-increasing end user demands are instigating the development of
innovative methods targeting not only data rate enhancement but additionally
better service quality in each subsequent wireless communication standard.
This quest to achieve higher data rates has compelled the next generation
communication technologies to use multicarrier systems e.g. orthogonal
frequency division multiplexing (OFDM), while also relying on the
multiple-input multiple-output (MIMO) technology. This paper is focused on
implementing a MIMO-OFDM system and on using various techniques to optimize
it in terms of the bit-error rate performance. The test case considered is a
system implementation constituting the enabling technologies for 4G and
beyond communication systems. The bit-error rate optimizations considered
are based on preceding the OFDM modulation step by Discrete Fourier
Transform (DFT) while also considering various subcarrier mapping schemes.
MATLAB-based simulation of a 2 ? 2 MIMO-OFDM system exhibits a maximum of 2
to 5 orders of magnitude reduction in bit-error rate due to DFT-precoding
and subcarrier mapping respectively at high signal-to-noise ratio values in
various environments. A 2-3dBs reduction in peak-to-average power ratio due
to DFT-precoding in different environments is also exhibited in the various
simulations.
Wk-fnn design for detection of anomalies in the computer network traffic
Authors: Protic Danijela , Stankovic Miomir , Antic Vladimir
Published: July 2022

Anomaly-based intrusion detection systems identify abnormal computer network traffic based on deviations from the derived statistical model that describes the normal network behavior. The basic problem with anomaly detection is deciding what is considered normal. Supervised machine learning can be viewed as binary classification, since models are trained and tested on a data set containing a binary label to detect anomalies. Weighted k-Nearest Neighbor and Feedforward Neural Network are high-precision classifiers for decision-making. However, their decisions sometimes differ. In this paper, we present a WK-FNN hybrid model for the detection of the opposite decisions. It is shown that results can be improved with the xor bitwise operation. The sum of the binary ?ones? is used to decide whether additional alerts are activated or not.
Potensi Senyawa Antibakteri Daging Buah dan Kulit Nanas Sebagai Hand Sanitizer Alami: Literature Review
Authors: Asngad Aminah , Damayanti Friska Wahyu
Published: July 2022

Penggunaan hand sanitizer untuk menjaga kebersihan tangan sangat penting untuk menghindari berbagai penyakit akibat infeksi oleh bakteri pathogen. Sediaan hand sanitizer seperti alkohol dan triklosan sangat berbahaya jika digunakan secara terus-menerus. Buah dan kulit nanas memiliki senyawa antibakteri yang dapat dijadikan sebagai sediaan hand sanitizer. Tujuan dari literature review ini adalah untuk mengetahui potensi senyawa antibakteri daging buah dan kulit nanas sebagai hand sanitizer alami.  Metode studi literatur ini dibuat dengan menganalisis artikel-artikel hasil penelitian yang dipublikasi pada tahun 2016 sampai 2020. Data didapat dengan menggunakan kata kunci pada beberapa search engine Google Scholar, PubMed, dan Garuda. Hasil studi literatur ini didapatkan sebanyak 14 artikel yang sesuai dengan kriteria inklusi dan eksklusi. Hasil analisis review artikel menunjukkan bahwa buah dan kulit nanas memiliki senyawa metabolit sekunder berupa flavonoid, tannin, alkaloid, steroid dan terpenoid serta bromelain sebagai zat antimikroba. Ekstrak buah dan kulit nanas dapat menghambat pertumbuhan bakteri gram positif dan gram negatif yaitu, Escherichia coli, Staphylococcus aureus, Salmonella thypii, Xanthomonus, Bacillus subtilis, Azotobacter, Pseudomonas, Klebsiella, Pseudomonas aeruginosa, Vibrio cholera dan K. pneumoniae. Kesimpulan menunjukkan bahwa kulit nanas lebih potensial dijadikan sebagai sediaan sediaan hand sanitizer alami dibandingkan dengan daging buahnya karena memiliki senyawa antibakteri yang kuat terhadap bakteri pathogen dan memiliki pH yang baik untuk kulit.
Pengaruh Kepemimpinan Kepala Sekolah dan Lingkungan Kerja terhadap Kinerja Guru di SD Negeri se-Kabupaten Bintan
Authors: Mukti Asep , Sapriati Amalia , Soekisno Bambang Aryan
Published: July 2022

Sekolah merupakan salah satu lembaga alternatif pelayanan pendidikan. Sekolah sebagai suatu lembaga yang memiliki visi, misi, tujuan dan fungsi sehingga memerlukan tenaga profesional, tata kerja organisasi dan sumber-sumber yang mendukung baik finansial maupun non finansial salah satunya adalah guru. Peningkatan kualitas pembelajaran dipengaruhi oleh kinerja guru. Kinerja guru yang optimal jika diintegrasikan dengan komponen-komponen yang ada di sekolah, diantaranya kepala sekolah dan lingkungan sekolah. Tujuan penelitian ini adalah untuk mengetahui pengaruh kepemimpinan kepala sekolah terhadap kinerja guru, lingkungan kerja terhadap kinerja guru, dan pengaruh kepemimpinan kepala sekolah bersama-sama dengan lingkungan kerja terhadap kinerja guru di SD Negeri Se-Kabupaten Bintan. Teknik pengumpulan data dengan menggunakan angket, wawancara, dan observasi. Item angket yang diberikan telah dianalisis validitas dan reliabilitas. Hasil penelitian ini menunjukkan bahwa (1) kepemimpinan kepala sekolah berpengaruh signifikan terhadap kinerja guru (2) lingkungan kerja berpengaruh signifikan terhadap kinerja guru (3) kepemimpinan kepala sekolah dan lingkungan kerja sama-sama berpengaruh signifikan terhadap kinerja guru.
Pengembangan Modul Matematika Berbasis Model Pembelajaran Problem Based Learning pada Materi Sistem Persamaan Linier Dua Variabel Kelas VIII SMP/MTs
Authors: Lestari Novita Yuliazmar , Revita Rena , Irma Ade
Published: July 2022

Penelitian ini bertujuan untuk mengembangkan dan menghasilkan modul pembelajaran matematika berbasis model  problem based learning pada materi Sistem Persamaan Linier Dua Variabel yang memenuhi kriteria valid, praktis dan efektif.   Desain penelitian yang digunakan pada penelitian ini adalah model ADDIE (Analysis, Design, Development, Implementation, Evaluation). Jenis penelitian ini merupakan penelitian  pengembangan (Research and Development). Teknik pengumpulan  data  yang digunakan  berupa  tes, angket, observasi, dokumentasi dan wawancara. Teknik analisis data yang digunakan adalah teknik analisis deskriptif kualitatif dan kuantitatif. Hasil penelitian menunjukkan bahwa berdasarkan uji validitas, modul matematika berbasis model problem based learning dinyatakan sangat  valid dengan persentase tingkat kevalidan 91,80%. Hasil uji kepraktisan  kelompok kecil dengan jumlah responden 10 orang siswa diperoleh bahwa modul matematika  berbasis model  problem  based  learning  sangat praktis dengan persentase tingkat kepraktisan  85,85%.
Pengaruh Pemahaman Konsep dengan Mempertimbangkan Level Berpikir Terhadap Hasil Belajar Geometri Siswa SMP
Authors: Zamzaili Zamzaili , Swita Baki
Published: July 2022

Penelitian ini bertujuan untuk mendiskripsikan besarnya pengaruh langsung maupun tidak langsung dari model rekursif antara pemahaman konsep dengan hasil belajar geometri dengan mempertimbangkan level berpikir geometri. Teknik sampling yang digunakan adalah simple random sampling dengan besar sampel sejumlah 128 orang siswa. Instrumen yang digunakan untuk memperoleh data penelitian berupa soal tes pemahaman konsep geometri, soal tes level berpikir dan soal tes hasil belajar geometri. Ketiga instrumen ini dikumpulkan menggunakan teknik tes. Data penelitian dianalisis dengan menggunakan statistik analisis jalur (path analisys). Hasil temuan penelitian diperoleh; (1) pengaruh langsung pemahaman konsep terhadap hasil belajar geometri sebesar 0,196, (2) pengaruh tidak langsung pemahaman konsep terhadap hasil belajar geometri dengan mempertimbangkan level berpikir sebesar 0,253, (3) pengaruh langsung level berpikir terhadap hasil belajar geometri sebesar 0,449, serta (4) pengaruh spurius level berpikir terhadap hasil belajar geometri sebesar 0,105. Berdasarkan hasil penelitian dikatakan bahwa pemahaman konsep dengan mempertimbangkan level berpikir akan memberikan pengaruh yang lebih besar terhadap peningkatan hasil belajar geometri.
Efektifkah Pembelajaran Matematika di Kelas IX SMPIT Cahaya Hati pada Era New Normal ?
Authors: Saleh Rahmad , Aniswita Aniswita , Aprison Wedra , Fitri Haida
Published: July 2022

Penelitian ini dilatarbelakangi hasil wawancara dan observasi yang dilaksanakan di kelas IX SMPIT Cahaya Hati tentang proses pembelajaran matematika pada era new normal.  Proses Pembelajaran dilakukan dengan tatap muka, namun taat protokol kesehatan guna mencegah penularan Covid-19. Waktu setiap pertemuan pembelajaran matematika disetiap pertemuan berkurang jadi 60 menit. Penelitian ini bertujuan mengetahui efektif atau tidak pembelajaran matematika kelas IX SMPIT Cahaya Hati pada era new normal  TA 2021/2022. Penelitian ini adalah penelitian kuantitatif deskriptif. Populasi penelitian ialah seluruh peserta didik dan guru mata pelajaran matematika kelas lX SMPIT Cahaya Hati. Teknik pengumpulan data dalam penelitian ini menggunakan lembar observasi, kuesioner dan dokumentasi. Lembaran observasi digunakan untuk mengetahui proses pengelolaan pelaksanaan pembelajaran dan proses pembelajaran komunikatif matematika. Kuesioner digunakan untuk mengetahui bagaimana respon dan aktivitas peserta didik pada pembelajaran matematika. Teknik pengumpulan data melalui dokumentasi untuk hasil belajar peserta didik. Penelitian ini memakai lima indikator, pembelajaran disebut efektif apabila seluruh indikator minimal berkriteria baik. Hasil penelitian menunjukkan bahwa pengelolaan pelaksanaan pembelajaran dan proses pembelajaran komunikatif terlaksana dengan sangat baik, respon dan aktivitas peserta didik tergolong baik, namun hasil belajar peserta didik masih rendah. Hal ini menunjukan jika pembelajaran matematika era new normal di kelas IX SMPIT Cahaya Hati belum efektif.
Interpretasi kata Sulthan (Kajian Ma’na Cum Maghza Terhadap Q.S. Ar-Rahman (55): 33)
Authors: Wijaya Roma , Malikah Siti Sholihatun
Published: July 2022

AbstractThe Qur'an with all the words and sentences in it always gives birth to a double meaning. In accordance with the point of view, the approach used is the interpreter or reader. One of the words reviewed is sulthan, because the word contains variations in meaning depending on the syntax of the sentence before and after and the context that accompanies it. Therefore, this study reveals the meaning of the word sulthan from the verse Q.S. Ar-Rahman (55): 33. The theoretical approach used is the theory of ma'na cum maghza which was pioneered by Sahiron Syamsuddin as a hermeneutic lighter at UIN Sunan Kalijaga Yogyakarta. With the description-analysis analysis method as well as the primary source in the form of the interpretation of the word sultan from various books of interpretation and also the Qur'an itself. Then secondary sources in the form of studies related to the theme of discussion, either in the form of journals, books, and so on. The results of this study are first, this verse is used as a reference source for the science of astronomy to explore the universe, because it expresses the invitation to penetrate the heavens and the earth. Second, the word sulthan in Surah Ar-Rahman verse 33 describes the power and power of Allah over his supervision of humans and jinn. Third, in depth the Qur'an through Surah Ar-Rahman verse 33 is a proof of Allah's power. AbstrakAl-Qur’an dengan segala kata dan kalimat di dalamnya selalu melahirkan makna ganda. Sesuai dengan sudut pandang, pendekatan yang digunakan mufassir atau pembaca. Salah satu kata yang diulas adalah sulthan, karena kata tersebut mengandung variasi makna tergantung kepada sintaksis kalimat sebelum dan sesudah serta konteks yang menyertainya. Oleh karena itu, penelitian ini mengungkapkan makna kata sulthan dari ayat Q.S. Ar-Rahman (55): 33. Adapun teori pendekatan yang digunakan adalah teori ma’na cum maghza yang dipelopori oleh Sahiron Syamsuddin selaku pemantik hermeneutika di UIN Sunan Kalijaga Yogyakarta. Dengan metode analisis deskripsi-analisis serta sumber primer berupa penafsiran kata sulthan dari berbagai kitab tafsir dan juga al-Qur’an itu sendiri. Kemudian sumber sekunder berupa kajian-kajian yang terkait dengan tema pembahasan, baik berupa jurnal, buku, dan lain sebagainya. Adapun hasil penelitian ini adalah pertama, ayat ini dijadikan sumber rujukan tentang ilmu astronomi untuk menjelajahi alam semesta, karena di dalamnya mengungkapkan dipersilahkannya menembus langit dan bumi.  Kedua,  kata sulthan dalam surah Ar-Rahman ayat 33 mendeskripsikan tentang kekuatan dan kekuasaan Allah terhadap pengawasannya kepada manusia dan jin. Ketiga, secara mendalam al-Qur’an melalui surah Ar-Rahman ayat 33 ini sebagai bukti kekuasaan Allah Kata Kunci: Interpretasi; Ma’na-Cum-Maghza; QS. ar-Rahman: 33; Sulthan.
STEM-Integrated Flipped Classroom in the Teacher’s Perspective: Could its Implementation in E-Module Improve System Thinking Ability?
Authors: Aspridanel Almira , Abdurrahman Abdurrahman , Lengkana Dewi , Jalmo Tri
Published: July 2022

This study aims to describe the teacher’s perception of flipped classroom learning strategy using STEM-integrated E-Modules in improving systems thinking ability. The research was conducted in Lampung Province, Indonesia, and was nvolving 50 junior high school science teachers. The method used in this research is mixed methods with Sequential Explanatory Design. Data was retrieved using Questionnaire, and were analyzed using descriptive analysis. The survey results show that teachers have a positive perception of the STEM approach.  The results of the analysis also show that most teachers have not used the STEM approach in schools to provide an understanding of science. In addition, teachers also have not implemented STEM-integrated teaching materials.
Didactic Engineering and Learning Objects: A Proposal for Teaching Parabolas in Analytical Geometry
Authors: De Sousa Renata Teófilo , Alves Francisco Régis Vieira
Published: July 2022

This work aims to investigate the feasibility of using a Learning Object built in GeoGebra software and its potential for teaching parabolas in Analytical Geometry, having as support for its replication in a teaching session the Theory of Didactic Situations. The methodology adopted was Didactic Engineering, in its first two phases – preliminary analysis and a priori analysis. In the preliminary analysis, some epistemological and didactic aspects that permeate the teaching of parabolas, the concept of Learning Objects and the Theory of Didactic Situations were raised. In the a priori analysis, we present the Learning Object called Suspension Bridge and its manipulation in GeoGebra for the exploration of the parabola, as well as a student's attitudinal prediction. Thus, we seek to collaborate with the development of new approaches to teaching this topic, contributing to the advancement of the use of educational technologies integrated into the teaching of mathematics.
Producción de conocimiento y servicio: compromisos de la investigación en Educación Matemática en la Educación de Personas Jóvenes y Adultas
Authors: Ávila Alicia
Published: July 2022

En este escrito se hace un somero recorrido por la investigación en Educación Matemática en la Educación de Personas Jóvenes y Adultas realizada en México y en Argentina. Al hacerlo, se describen sus escenarios naturales y las decisiones normativas y de gobierno que la afectan en uno y otro país. Se identifican paralelismos y diferencias entre los desarrollos de las dos regiones, constatándose que, en ambas latitudes, los investigadores de la Educación Matemática en la Educación de Personas Jóvenes y Adultas, han asumido el compromiso de generar conocimiento y servicios para esta población.
Reterritorialization of Community Forestry: Scientific Forest Management in the Terai and Chure Region of Nepal.
Authors: Khatri Dil Bahadur , Paudel Dinesh , Pain Adam , Marquardt Kristina , Khatri Sanjaya
Published: July 2022

Nepal's community forestry is an example of a decentralized, participatory and autonomous development model. However, recent community forestry practices informed by the concept of scientific forestry in resource-rich and commercially lucrative Terai regions of Nepal have reversed community forestry gains. Scientific forestry, enforced through the Department of Forest has reproduced frontier power dynamics creating reterritorialization of community forestry through commercialization. Discouraging subsistence utilization and increasing commodification of high-value timber resources have been crucial in reconfiguring forest authority and territorial control. Moreover, the Scientific Forestry Programs have informally institutionalized rent-seeking practices at the local level. A local level, power nexus has developed among forest officials, contractors and community elites that systematically undermine local participation, allocation of resources for subsistence livelihoods and local autonomy. In effect, scientific forestry is recentralizing forest authority by legitimizing territorial control and the elite accumulation of benefits.
The Dimensions of Military Engineer Support in the Hybrid War
Authors: Andrei Constantin
Published: July 2022

Hybrid warfare as a new form of politico-military aggression, brings to the fore a complex of conventional and unconventional civil and military actions and operations designed to attack all components of the aggressed state. An appropriate response to the challenges posed by this new type of conflict involves a comprehensive approach, integrating both civilian and military instruments. However, military structures retain a particularly important role in achieving the objectives of the campaign, they possess those capabilities relevant to stabilizing the security environment as well as post-conflict reconstruction. The military engineer support, an important component of any joint military operation, contributes, beyond the fulfillment of missions / tasks in the field, mobility, countermobility, survivability or general support of the assembled military force, to the return to normalcy of the affected society of a conflict. Viewed from this perspective, it can be said that the military engineer support acquires a multidimensional character, which mainly refers to the security, economic, social and educational dimensions.
Comparative Analysis of the Risk of Explosion Generated By Civil Explosives in Industrial Places for Storage of Explosive Materials
Authors: Burdea Monica Crinela , Moraru Roland Iosif , Burdea Florin Ionel , Dregan Cătălin Valentin
Published: July 2022

The fulfillment of the obligations provided by the legislation in force regarding the minimization of risks specific to industrial sites for the storage of explosive materials is a desideratum assumed by the management at the highest level. To this end, the paper aims to provide a brief description of the algorithm for assessing the risk of explosion and establishing the optimal solutions to minimize it, starting from the analysis of concrete situations in few locations from Romania.
Methodology for Analysis, Assessment and Classification of Major-Accident Hazards (Explosion) in the Case of Explosives Depots
Authors: Burdea Monica Crinela , Moraru Roland Iosif , Burdea Florin Ionel , Dregan Cătălin Valentin
Published: July 2022

This paper presents a methodology for the analysis, assessment and classification of explosive hazards in the case of landfills, including the quantification of possible effects on neighborhoods and on human health and the environment.
The Design, Practical Realization and the Programming of a Didactical MB-UGV-1 Mini Crawler Robot Prototype for Engineering Operations
Authors: Murar Bogdan-Ionuț , Petrişor Silviu-Mihai
Published: July 2022

The authors of this scientific paper would like to highlight some didactic-applied contributions regarding the design and the programming of an MB-UGV-1 robotic technological tracked product intended for engineering missions. The following aspects are highlighted: the presentation of the main organological elements from the mechanical structure of the tracked mini-robot, aspects regarding the command and programming elements of the technological product, the advantages and the disadvantages it has. The originality of this paper consists in the following elements: the manner of assembling the organological elements on the mechanical structure of the product, the writing of a program specific to and necessary for the mobility of each degree of freedom associated with the mechanism generating trajectories, the possibility of implementing the mini-robot in didactical applications.
Stem cell therapy in lupus
Authors: Yuan Xinran , Sun Lingyun
Published: July 2022

Systemic lupus erythematosus (SLE) is a chronic autoimmune and inflammatory disease with multiple organs and systems involved such as the kidney, lung, brain and the hematopoietic system. Although increased knowledge of the disease pathogenesis has improved treatment options, current immunosuppressive therapies have failed to prevent disease relapse in more than half of treated patients. Thus, the cell replacement therapy approach that aims to overcome adverse events of traditional treatment and improve recovery rate of refractory SLE is considered as an alternative treatment option. A large number of animal studies and clinical trials have shown stem cell therapy to be a promising therapeutic approach for the treatment of SLE. Since the first transplantation into human patients, several stem cell types have been applied in this field, including hematopoietic stem cells (HSCs) and mesenchymal stem cells (MSCs). In this review, we overview different cell sources of stem cells and applications of the stem cell therapy for treatment of SLE, as well as the comparison between HSCs transplantation (HSCT) and MSCs transplantation (MSCT).
Inflammatory bowel disease: focus on enteropathic arthritis and therapy
Authors: Barkhodari Amir , Lee Kate E. , Shen Min , Shen Bo , Yao Qingping
Published: July 2022

Inflammatory bowel disease (IBD) is a chronic inflammatory disease primarily affecting the gastrointestinal (GI) tract and other organs. In this article, we provide a comprehensive review of IBD, particularly in the context of enteropathic arthritis and its therapeutic advances. Patients with IBD present with intestinal and extraintestinal manifestations (EIMs). Enteropathic arthritis or arthritis associated with IBD (Crohn's disease [CD] and ulcerative colitis [UC]) is the most common EIM and can involve both peripheral and axial joints with some overlaps. Furthermore, peripheral arthritis can be divided into two subcategories. Due to its varied inflammatory presentations and association with NOD2 mutations, CD can mimic other autoimmune and autoinflammatory diseases. Differential diagnosis should be extended to include another NOD2-associated disease, Yao syndrome. Therapy for IBD entails a myriad of medications and procedures, including various biologics targeting different pathways and Janus kinase (JAK) inhibitors. A better understanding of the therapeutic efficacy and mechanism of each drug aids in proper selection of more effective treatment for IBD and its associated inflammatory arthritis.
Lures of Engagement: An Outlook on Tactical AI Art
Authors: Grba Dejan
Published: July 2022

This paper aims to diversify the existing critical discourse by introducing new perspectives on the poetic, expressive, and ethical features of tactical media art that involves artificial intelligence (AI). It explores diverse artistic approaches and their effectiveness in critiquing the epistemic, phenomenological, and polit- ical aspects of AI science and technology. Focusing on the three representative thematic areas—sociocultural, existential, and political—it discusses works that exemplify poetic complexity and manifest the ambiguities indicative of a broader milieu of contemporary art, culture, economy, and society. With a closing sum- mary of the major issues and possible directions to address them, the paper shows that tactical AI art provides important insights into the AI-influenced world and has the potential to advance computational arts toward a socially re- sponsible and epistemologically relevant expressive stratum.
Rematerialising Digital Technologies Through Critical Making
Authors: Ferreira Pedro
Published: July 2022

This article examines artistic practices that engage with digital technologies through a critical making methodology. Critical making is described as a hands- on practice that aims to merge critical thinking with making. This is a practice that focuses on the process of making and combines material experimentation with critical thinking about the effects of digital technologies. Critically-made artifacts in the artistic context have the potential to disrupt pre-established no- tions of art engaged with digital technologies as well as to challenge screen es- sentialism in artistic production and everyday life. In this paper, it is proposed that critically-made artifacts are a form of post-digital art based on hybridisation of digital and non-digital technologies. This turn in artistic practices engaged with digital technologies is seen as a way to rematerialise digital technologies unfolded in physical space as well as a critical reaction to the post-digital condi- tion, where all aspects of daily life are circumscribed around digital technologies in computational societies.
Perceptions of Creativity in Artistic and Scientific Processes
Authors: Moruzzi Caterina
Published: July 2022

This paper presents the results of a factorial survey research on perceptions of artistic and scientific creativity in humans and AI. A general reluctance at at- tributing creativity to artificial systems is well-documented in the literature on the theme. Aim of this survey is to test whether this reluctance is equally strong when participants evaluate scenarios where human and artificial agents are involved in processes of scientific discovery and scenarios where they are en- gaged in artistic creation processes. The starting hypothesis of the study is that participants should be less hesitant at attributing creativity to artificial agents when the latter engage in scientific discovery processes. Findings, however, dis- confirm this assumption, showing that participants attribute significantly less creativity to artificial actors than to human ones, and even more so when they are involved in scientific processes.
“We’re the brains, you’re talking about bodies”: discussing gender stereotypes in digital assistants
Authors: Costa Pedro , Ribas Luísa , Carvalhais Miguel
Published: July 2022

This paper seeks to understand and discuss the issues that emerge when gender is attributed to current digital assistants, as part of an ongoing research on the relationship between gender and AI. resulting in portrayals of gender roles, ste- reotypes and archetypes. This paper focuses on the conceptualization and devel- opment of chatbots that ironically expose and portray gender roles, stereotypes and archetypes. It presents recent progress in our theoretical and analytical ap- proaches, addressing a tendency towards the feminization of current digital as- sistants, and examines current trends of development and justifications for this phenomenon, while debating common concerns regarding gender attribution in AI. It discusses how the questions addressed in our research are integrated into each bot’s personality and extends this approach to masculine archetypes and stereotypes, inspecting how they are portrayed by artificial intelligence, both in real life and fictional scenarios. In this manner, we seek to foster debate on how these entities reinforce and reflect common conceptions of gender back to us.
Computational Aesthetics of the Collective Affective Dynamics
of IMDB Movie Reviews
Authors: Lunterova Anna , Špetko Ondrej , Palamas George
Published: July 2022

This paper proposes an approach to visualising affective metadata from movie reviews on IMDB. First, a natural language processing (NLP) method is applied for automatic topic modelling and sentiment analysis using contextual valence and subjectivity as measures of emotional expression intensity. A t-Distribut- ed Stochastic Neighbour Embedding (t-SNE) was used to project these meta- data into a compact 2D representation. A cluster analysis was used to extract the spatial dynamics of this representation, which were mapped into a genera- tive visualization. Each generated visual ‘signature’ represented the emotional dynamics of a single movie extracted from 150 reviews, for a total of 20 mov- ies. Based on the visualised metadata, a qualitative evaluation of 79 participants demonstrated the capacity to communicate affective metaphors, as well as a robust sense of perceptual consistency. Furthermore, we assert that the gener- ative visualisation of data shows a nuanced expression of an aesthetic approach instead of an abstract articulation of an idea.
О градостроительстве в Булгарском улусе Золотой Орды
Authors: Губайдуллин Айрат Маратович
Published: July 2022

В статье рассматриваются вопросы функционирования поселений городского типа на территории Волжской Булгарии во второй половине XIII – начале XV веков. Обращается внимание на их распределение и размещение в регионе Среднего Поволжья после монгольского нашествия, а также на специфику этих городищ данного периода времени. Автором делается вывод о различном распределении поселенческих памятников на местности, а также количественном соотношении на протяжении X–XV веков. На основе комплекса археологических сведений, полученных в ходе их изучения, делается вывод о продолжавшемся развитии градостроительства на территории Булгарского улуса Золотой Орды и его преемственности на протяжении длительного времени. Одним из примеров этого являлось продолжение домонгольских традиций в возведении и использовании крепостных сооружений на некоторых поселениях, расположенных в данном регионе, а также сохранение технологических приемов в строительстве объектов фортификации. В этом плане здесь рассматриваются и отличия от городов центральной части золотоордынского государства. В качестве примера приводится развитие города Болгара и его планировочные особенности.
Нумизматический комплекс из с. Рождествено (Татарстан) по материалам Музея археологии РТ Института археологии АН РТ
Authors: Бугарчев Алексей Игоревич , Шайхутдинова Евгения Флюровна
Published: July 2022

В статье приводится ранее не изданный нумизматический сбор из села Рождествено Лаишевского района Республики Татарстан из мемориальной коллекции Музея археологии РТ Института археологии им. А.Х. Халикова АН РТ. Впервые анализируются и публикуются двенадцать серебряных монет XIV–XV вв. Для анализа привлекаются ранее изданные материалы, найденные в окрестностях села Рождествено. В целом можно говорить о комплексе из более чем 170 джучидских монет середины XIII – первой половины XV вв., а также денег русских княжеств. Основная масса чеканилась в XV вв. Это свидетельствует о местонахождении в данном районе курпного населенного пункта в XV веке. К статье прилагаются две фототаблицы. Приведённый в статье нумизматический материал иллюстрирует денежное обращение Булгарского вилайата на протяжении XII – XV вв. на археологических материалах, найденных близ Рождествено.
Курган 5 могильника Кривая Лука XVI и проблема ассимиляции монголов в Золотой Орде
Authors: Дрёмов Игорь Иванович , Круглов Евгений Викторович
Published: July 2022

Работа посвящена интерпретации одного из показательных золотоордынских захоронений второй половины XIV века в низовьях Правобережной Волги. Погребение в кургане 5 могильника Кривая Лука XVI было исследовано в 1976 г., введено в научный оборот Г.А. Фёдоровым-Давыдовым в 1984 г. и впоследствии не раз подвергалось научному анализу. Комплекс имеет как индивидуальные особенности, так и типичные признаки для кочевнических захоронений Золотой Орды – курган, ровик, инвентарь, северную ориентировку, гроб, восьмигранную конструкцию из брёвен, разрушение скелета. Его датировка по найденным в могиле монетам – вторая половина XIV в. Погребение, первоначально, рассматривалось в рамках тюркских традиций, но такие элементы погребального обряда и инвентаря, как северная ориентировка, конструкция из брёвен, разрушение скелета позволяют сделать вывод о его принадлежности к монгольской культурной традиции. К настоящему времени имеется ряд надёжно датируемых погребений с аналогичными признаками, позволяющих сделать вывод, что, как минимум, до конца XIV в. часть кочевых монголов не растворилась в тюркской среде, а сохраняла свои культурные традиции.
Накладки аскизского типа из мордовского погребения №6 Аткарского могильника
Authors: Козлов Дмитрий Александрович
Published: July 2022

В статье рассматриваются материалы аскизского типа из погребения №6 Аткарского могильника, из раскопок под руководством С.Ю. Монахова 1979–80 гг. Это парное погребение мужчины и женщины, достаточно типичное для мордовских комплексов XIII–XIV вв., содержит богатый и разнообразный инвентарь, среди которого выделаются накладки и их обломки из железа в мужским комплексе. Подобные изделия находят стилистические и технологические аналогии на обширных пространствах Евразии, на территории государства Золотая Орда. Форма и технология их изготовления своими истоками связана с технологическими традициями аскизской культуры XIII–XIV вв. Исходя из своеобразия внешнего облика аткарских накладок, предлагается схема классификации накладок. Это позволит выделить их при систематизации из обширного массива железных накладок эпохи Средневековья. Для определения их функционального назначения подобных накладок в статье анализируется их месторасположение в комплексах погребального инвентаря. Судя по их находкам в погребениях, датированных монетами, время их распространения относится к рубежу XIII–XIV вв. Картографирование «символьных» накладок позволяет выдвинуть предположение, что их носители, возможно, принимали участие в летописных событиях, вошедших в историю по названием «Дюденевой рати».
Data Driven Perspective on Stock Price - Macroeconomic Variables: Indonesia Economy 2016-2020
Authors: Nusantara Agung , Nawatmi Sri , Santosa Agus Budi
Published: July 2022

Abstract
The use of a theory-driven perspective is very common, especially in economics research, and even becomes an inevitable approach. Problems arise when data, as a form of reality, does not synergize with theory. The resulting conclusion is very likely to be different from the theoretical statement. One method that refers to data-driven is the Vector Auto-Regressive (VAR) model, which puts all the variables involved in a position as endogenous variables. This study seeks to identify a statistically more accurate relationship in the relationship between variables, stock prices, consumer price index, Jakarta Inter-Bank Over rate, exchange rate, and Net Balance Trade. Observations were made from January 2016 to December 2020. This study found evidence that there is a recursive relationship between stock price variables and macroeconomic variables. The VAR model identifies the Net Balance Trade variable as an endogenous variable in 3 types of sectoral stocks and only manufacturing sector stocks that resemble it. These results have two theoretical consequences: first, setting stock prices without differentiating sectors carries the risk of generalization errors. Second, setting stock prices as the endogenous variable means assuming that the market is perfect, and efficient and market participants have rational behavior.