bluuebunny/crossref_metadata_2025 huggingface dataset:
How to predict a difficult airway
Authors: Mekiš Dušan
Published: February 2023

According to The American Society of Anaesthesiologists Task Force, a difficult airway is defined as a clinical situation in which a conventionally– trained anaesthesiologist experiences difficulty with face mask ventilation and/or difficulty with tracheal intubation. Failing at efficient airway management is a source of major apprehension for physicians. Predicting difficult airway management is a mandatory part of clinical practice for paediatric and adult patients so as to avoid unexpected difficult airway management and adverse outcomes. Predicting a difficult airway is based on a focused medical history, review of prior medical records, physical examination, and specific tests for airway assessment. Each feature or airway test has its own sensitivity and specificity for the prediction of a difficult airway. All airway assessment tests are characterised by  low sensitivity, reasonable specificity, and a low positive predictive value. Several scoring system models have been developed by multivariate analysis with multiple different integrated tests or risk factors to improve the prediction of a difficult airway, but with considerably different effectiveness to predict a difficult airway. According to the European Society of Anaesthesiology, systematic multimodal screening before airway management should include the Mallampati classification and thyromental distance, mouth opening or interincisor distance, range of motion of head and neck, compliance of the mandibular space, and the upper lip bite test.
Use of complementary and alternative treatment methods among adults in Slovenia
Authors: Ivetić Vojislav , Čreslovnik Barbara , Klemenc-Ketiš Zalika , Kersnik Janko
Published: February 2023

Purpose: The aim of our research was to determine how many people use complementary and alternative medicine (CAM) and how the use of CAM depends on the gender, age, education, and the living environment of each individual person. We wanted to determine the level of fondness for the providers of CAM and define the most popular alternative medicinal preparations.

Methods: The cross-sectional study was based on an anonymous questionnaire sent to the houses of a randomly selected sample (N=1000) of adults from the Republic of Slovenia in April 2009. The sample was selected using the telephone book. The data was statistically analysed using the chi-square method and t-test, depending on the nature of the variables.

Results: The survey was returned and answered correctly by 410 (41.0%) subjects. According to the results, complementary and alternative medicine was used by 9.0% of the subjects. The use of CAM was independent of age, gender, education, and the living environment. According to the point scale, homeopathy was trusted by 16.9% of people, followed by healers who were trusted by 11.0%. From a statistical point of view, homeopaths were much more trusted by people who had completed a secondary education. The most popular medicinal preparations were herbs and different types of tea (74.4%), followed by vitamins and minerals (69.0%). Homeopathic preparations were used by 4.6% of people.

Conclusion: We confirmed a 9.0% presence of alternative medicine in Slovenia, not taking into account herbal medicines, treatments with herbal preparations or tea, and acupuncture. We also have established that 11.0% of the population trust healers and only 16.9% of the population trust homeopaths.
The impact of obesity on COVID-19 outcomes in hospitalized patients
Authors: Markova Tatiana N. , Anchutina Anastasia A. , Bodranets Angelina A.
Published: February 2023

Background: Obesity is recognized as a risk factor for adverse outcomes in patients with COVID-19. However, a number of studies, including an analysis of the Federal Registry of Diabetic Patients (Russian Federation), have not identified any significant effect of obesity on mortality in COVID-19. Therefore, the role of obesity, assessed by body mass index (BMI) and waist circumference (WC), as a risk factor for an unfavorable course of coronavirus infection remains disputable.
Aim: To assess the impact of obesity on the severity and outcomes of coronavirus infection in the Russian population of hospitalized patients.
Materials and methods: This was a single center, retrospective, observational study in 367 patients with the polymerase chain reaction (PCR)-confirmed diagnosis of COVID-19 hospitalized to the in-patient department from April 2020 to November 2021. The first group included 185 patients with obesity (BMI 30.0 kg/m2); the second group consisted of 182 patients without obesity (BMI 30.0 kg/m2). Prevalence of comorbidities, clinical and laboratory parameters, and computed tomography results were assessed in both groups. WC was measured in 100 patients.
Results: In this Russian population of hospitalized patients with COVID-19, obesity (BMI 30.0 kg/m2) didn't increase the probability of death both in the general sample (odds ratio (OR) = 1.31; 95% confidence interval (CI) 0.901.92, p = 0.164) and in the patients with type 2 diabetes (OR = 1.0; 95% CI 0.591.7, p = 0.997) or without diabetes (OR = 1.3; 95% CI 0.712.39, p = 0.392). However, obesity was associated with a 1,7-fold increase of the risk of severe COVID-19 (95% CI 1.132.59, p = 0.010). Morbid and abdominal obesity (according to World Health Organization and International Diabetes Federation criteria) had no significant impact on the death rate. WC of 101 cm, regardless of the patients gender, was associated with a 4,9-fold increase of the risk of death (95% CI 1.4516.42, p = 0.012).
Conclusion: Obesity didnt show any significant effect on mortality, but increased the chance of severe course of COVID-19 infection. Abdominal obesity (WC 101 cm) was a more significant factor in predicting of a fatal outcome, than BMI.
¿Cómo es el sujeto? Crítica y clínica en los poemas de Oliverio Girondo
Authors: Vich Víctor
Published: February 2023

Este ensayo estudia la representación de la subjetividad en la poesía de Oliverio Girondo a partir de tres tipos de figuraciones: el descentramiento de la identidad, la crisis de la voluntad y la pulsión de muerte. En el análisis se intenta mostrar, por un lado, la importancia que estas representaciones tuvieron en un contexto que exigía sujetos unitarios, coherentes y productivos, y, por otro, localizar la crítica que esta poesía le dirige a la razón moderna. El ensayo enumera las estrategias que se elucidan para reconfigurar la subjetividad ante el mundo, ante el lenguaje y ante sí misma.
Entre la autoficción y la teoría expresiva del arte: "Efectos del amor propio" de Miguel Álvarez de Sotomayor (c. 1810)
Authors: Muñoz de Morales Galiana Javier
Published: February 2023

El presente trabajo pretende realizar un análisis de la novela Efectos del amor propio (c. 1810) empleando un marco teórico más amplio que el utilizado hasta ahora al estudiarla. Así, pues, consideramos que puede ser tipificada como “autoficción”, un tipo de novela en la que se confunden la identidad del personaje principal y la del autor; de igual manera, también está condicionada por una nueva forma de entender la creación artística surgida a principios del XIX, la “teoría expresiva del arte”, aplicable a las obras cuya finalidad principal era el desahogo íntimo del autor.
Penentuan Metode Pengelolaan Sampah Berbasis Masyarakat di Kecamatan Pasirian, Lumajang
Authors: Purwanto Erlisa Rika Trispa Puspita , Dhokhikah Yeny , Listyawati Ratih Novi
Published: February 2023

Pada kehidupan sehari-hari manusia melakukkan berbagai kegiatan yang menimbulkan limbah/sampah akibat dari kegiatan yang dilakukkan. Sampah jika dibiarkan menumpuk dan tidak dikelola akan berakibat negatif pada kondisi lingkungan, kondisi kesehatan manusia dan ekosistem. Kecamatan Pasirian memiliki jumlah penduduk terbanyak di Kabupaten Lumajang dan memiliki julukan sebagai Kota Kedua karena pembangunan perekonomian yang meningkat, sehingga berpotensi menjadi penyumbang sampah terbanyak. Berbagai macam upaya pemerintah untuk menekan timbulan sampah dan menciptakan lingkungan bersih diantaranya diberlakukkannya peraturan terkait pengelolaan sampah dan penerapan program bank sampah. Pola pengelolaan sampah Kecamatan Pasirian saat ini masih belum berjalan dengan optimal, karena rendahnya kesadaran masyarakat dalam mengelola sampah, cakupan pelayanan yang belum menyentuh kawasan perdesaaan serta minimnya lembaga/organisasi yang mengangani persampahan. Tujuan penelitian ini untuk mengidentifikasi gambaran pengelolaan sampah berbasis masyarakat dan memberikan rekomendasi penentuan alternatif metode pengelolaan sampah yang tepat untuk diterapkan dengan metode AHP. Dari hasil AHP dengan 30 responden didapatkan hasil alternatif metode pengelolaan yang tepat diterapkan ialah pengelolaan sampah skala rumah tangga (pemilahan & pengomposan) dilanjut pengelolaan sampah dengan konsep bank sampah, dengan bobot 0,336 lebih tinggi dari alternatif metode lainnya. Dari 3 kriteria, aspek lingkungan dianggap lebih penting untuk dipertimbangkan dalam menentukan metode pengelolaan sampah 0,610, sosial budaya 0,227 dan ekonomi 0,163. Dari 9 subkriteria yang menjadi prioritas untuk dipertimbangkan ialah potensi penyebaran penyakit akibat sampah dengan bobot 0,237.
Data-driven prediction of the glass-forming ability of modeled alloys by supervised machine learning
Authors: Hu Yuan-Chao
Published: February 2023

The ability of a matter to fall into a glassy state upon cooling differs greatly among metallic alloys. It is conventionally measured by the critical cooling rate Rc, below which crystallization inevitably happens. There are a lot of factors involved in determining Rc for an alloy, including both elemental features and alloy properties. However, the underlying physical mechanism is still far from being well understood. Therefore, the design of new metallic glasses is mainly by time- and labor-consuming trial-and-error experiments. This considerably slows down the development process of metallic glasses. Nowadays, large-scale computer simulations have been playing a significant role in understanding glass formation. Although the atomic-scale features can be well captured, the simulations themselves are constrained to a limited timescale. To overcome these issues, we propose to explore the glass-forming ability of the modeled alloys from computer simulations by supervised machine learning. We aim to gain insights into the key features determining Rc and found that the non-linear couplings of the geometrical and energetic factors are of great importance. An optimized machine learning model is then established to predict new glass formers with a timescale beyond the current simulation capability. This study will shed new light on both unveiling the glass formation mechanism and guiding new alloy design in practice.
MATHEMATICS SPATIAL ANALYSIS FOR OPTIMIZATION THE FIRE FIGHTING STATION PLACEMENT IN SOUTH JAKARTA, INDONESIA
Authors: Manik Ngarap Imanuel , Septreziera Maryuri , Argaswari Deshinta Puspa Ayu Dwi
Published: February 2023

This research aims to apply the spatial analysis to optimize the placement of firefighting units in the area of South Jakarta. The calculation and pre-analysis shown that there are some uncovered service areas at South Jakarta. Therefore, the recalculation and analysis help to find out the strategic new possible location for the fire station. Optimalization of the location of the new fire station is conducted by calculating the minimum time travel from help point to fire point. Other than that, the minimum time travel also calculated based on actual blocks and crowd. After that, the optimizing the location of the fire unit is determined by the support of a planning tool known as ArcView. It is a Geographic Information System (GIS) through the formulation of a mathematical and accessibility model. Through the new analysis with considering the actual fact and using the technology, the results showed that to optimize of the entire range of the South Jakarta area another ten new posts of firefighting unit need to be added.
MODEL EPIDEMIK PENYAKIT DIARE DENGAN FUNGSI INSIDENSI HOLLING TIPE DUA
Authors: Yulida Yuni , Lestia Aprida Siska , Fitria Riska , Jamil Azkia Khairal
Published: February 2023

Model epidemik merupakan salah satu bentuk model matematika di bidang epidemologi. Penyakit diare adalah salah satu penyakit menular yang dapat dicegah melalui treatment. Tujuan penelitian ini adalah untuk menjelaskan terbentuknya model epidemik penyebaran penyakit diare,  menganalisis kestabilan model, dan membuat simulasi numerik. Penelitian ini menggunakan metode linierisasi untuk melinierkan model nonlinier. Metode matriks next generation  untuk menentukan Basic reproduction number  dan metode runge kutta orde empat untuk melakukan simulasi model. Hasil dari penelitian ini, diperoleh model epidemik penyakit diare berbentuk Model SIRT (Susceptible, Infected, Treatment, Recovered) dengan fungsi insidensi Holling Tipe 2. Selanjutnya, diperoleh dua titik ekulibrium dan diperlihatkan bahwa  berperan penting dalam proses penyebaran penyakit. Jika   maka titik ekuilibrium bebas penyakit stabil asimtotik sehingga populasi akan terbebas dari wabah penyakit. Sebaliknya jika  maka titik ekuilibrium endemik stabil asimtotik sehingga penyakit akan selalu ada dalam populasi. Berdasarkan nilai indeks sensitivitas menunjukkan bahwa parameter laju kontak efektif dan laju kelahiran  adalah parameter yang paling sensitif (berbanding lurus) terhadap perubahan nilai . Selanjutnya, simulasi model diberikan untuk memperlihatkan ilustrasi terhadap analisa kestabilan model
Analisis Pengaruh Intellectual Capital, Good Corporate Governance dan Competitive Advantage Terhadap Company Value Pada PT Bukit Asam Tbk Tahun 2016-2021
Authors: Anggraeni Lisda , Ghalib Saladin
Published: February 2023

This study aims to analyze the influence of Intellectual Capital (X1), Good Corporate Governance (Z1), Competitive Advantage (Z2) on Company Value (Y), at PT Bukit Asam Tbk. The research was conducted using data for a period of 6 years, namely the period 2016-2021. The data source is secondary data which is analyzed through Partial Least Square (PLS). The test results show that there is a significant and positive influence on Intellectual Capital (X1) on Competitive Advantage (Z2). With a total influence of 71.3%. The use of Intellectual Capital in the company is able to increase the company's superior value or Competitive Advantage which makes it a characteristic of competitive advantage in the eyes of shareholders and industrial market players compared to other companies. Keywords: Intellectual Capital, Good Corporate Governance, Competitive Advantage, Company Value
Pengaruh Pengelolaan Arsip Terhadap Kinerja Pegawai di Kantor Pertahanan Kabupaten Balangan
Authors: Raudah Siti , Radawiyah Radawiyah
Published: February 2023

This study uses a quantitative approach, with causal associative research type, data collection techniques using questionnaires, observation and documentation. The population in this study were all employees of the Land Office of Balangan district 2021, totaling 38 people. The sampling technique used was Non Probability Sampling, namely Saturated Sampling or Total Sampling. Saturated sampling is a sampling technique when all members of the population are used as samples. This is often done when the population is relatively small. The results of this study indicate that the calculation of the Hypothesis Test uses a Simple Linear Regression Test and a T Test. The results of the calculation of the simple linear regression coefficient produce a value of Y = - 7.025 + 0.836 X which means that every one increase in Archive Management has an effect of 0.836 on Employee Work Efficiency, so that it can be concluded that there is an influence between variable X on variable Y. Meanwhile, from the results of the T test calculation, count is 5.674 compared to t_table (db=36) which is 2,028 with a significant level of 5%, then H1 is accepted and Ho is rejected, H1 or the Alternative Hypothesis reads " There is a positive and significant influence between Archive Management on Employee Work Efficiency in the Land Office of Balangan District". From the results of the data obtained using the SPSS 20 application, a correlation value of 0.687 is generated so that it can be concluded that the relationship between the two variables X and Y is categorized as Strong, the result of the coefficient of Determinant (r²) = 47.1% which is rounded up to 47%. The influencing factors are facilities and infrastructure factors, individual attitude factors, work procedures.To the Head of the Land Office of Balangan Regency to pay more attention to his employees, evaluate the filing system, be firm in reprimanding and giving sanctions, Regarding infrastructure so that in the future it can maximize existing infrastructure facilities, and carry out plans to increase archive space. To employees who commit violations and to the Archives Officer to pay more attention to archives in terms of managing archives so that archives are more neatly organized and do not overlap besides making it easier to search for archives if the archive is needed. Keywords: Archive Management, Employee Work Efficiency.
Pengaruh Dimensi Kualitas Pelayanan Terhadap Loyalitas Pelanggan Melalui Kepuasan Pelanggan Pada Yayasan Agaphe Banjarmasin
Authors: Risdyanto Albert , Asmu'i Asmu'i
Published: February 2023

Organizations must continue to develop in order to provide customers with the highest possible standard of service given the competition among training institutions in Banjarmasin and the variety of training topics that will be covered at Yayasan Pusat Pelatihan Motivasi & Pengembangan Sumber Daya Manusia AGAPHE Banjarmasin in the months and years to come. In this study, the Foundation Training Center for Motivation & Human Resource Development Agaphe Banjarmasin's training program is being examined to see what impact student satisfaction has on students' commitment to it. 194 people in all completed the survey for this study. SmartPLS software was used for the data analysis. The findings demonstrated that assurance and empathy dimensions have a favorable and significant direct impact on trainees' levels of satisfaction, while assurance and empathy dimensions have a favorable and major direct impact.  Keywords: assurance, emphathy, responsiveness, satisfaction, and loyalty
E-MODUL IPA BERBASIS AUTHENTIC LEARNING UNTUK MENINGKATKAN KETERAMPILAN BERPIKIR KRITIS PESERTA DIDIK SMP
Authors: Noorruwaida Sri , Suryajaya Suryajaya , Syahmani Syahmani , Suyidno Suyidno
Published: February 2023

The purpose of this study is to describe the validity of the authentic learning-based science e-module to improve the critical thinking skills of junior high school students. This research is part of development research which is part of the ASSURE model which assesses the feasibility of development from the aspect of validity. The instrument for retrieving the data used was in the form of an e-module validation sheet. Based on the results obtained from the validation of the authentic learning-based IPA e-module, it obtained a very valid category with a score of 3.38. It was concluded that the authentic learning-based science e-module to improve the critical thinking skills of junior high school students was very valid in the aspect of assessing the cover page, table of contents page, learning indicators, material accuracy, content presentation, content accuracy, evaluation questions, manuals/ teacher's answer key and glossary. While the content design and typography aspects of the e-Module are categorized as valid. Furthermore, the e-module can be continued at the next research.Keywords: validity, science e-module, authentic learning, critical thinking skills. ABSTRAKTujuan penelitian ini ialah mendeskripsikan validitas e-modul IPA berbasis authentic learning untuk meningkatkan keterampilan berpikir kritis peserta didik SMP. Penelitian ini bagian dari penelitian pengembanagan yang merupakan bagian dari model ASSURE yang menilai kelayakan pengembangan dari aspek validitas. Instrumen untuk mengambil data yang digunakan berupa lembar validasi e-modul. Berdasarkan hasil yang diperoleh dari validasi e-modul IPA berbasis authentic learning memperoleh kategori sangat valid dengan skor sebesar 3,38. Didapatkan simpulan bahwa e-modul IPA berbasis authentic learning untuk meningkatkan keterampilan berpikir kritis peserta didik SMP sangat valid dalam aspek penilaian halaman muka/sampul, halaman daftar isi, indikator pembelajaran, keakuratan materi, penyajian isi, ketepatan isi, soal evaluasi, buku petunjuk/kunci jawaban guru dan glosarium. Sedang aspek penilaian desain isi dan tifografi e-Modul berkategori valid. Selanjutnya e-modul dapat dilanjutkan pada tahapan penelitian berikutnya di uji lapangan.Kata kunci: validitas, e-modul IPA, authentic learning, keterampilan berpikir kritis.
Feature Extraction in Content based Image Retrieval
Authors:   PG Scholar, Dept. Of ECE, Pavendar Bharathidasan College of engineering and technology,Trichy, Tamilnadu, India, Ms R. Ramya , Mr C.Kalaiselvan ,   Assistant Prof, Dept. of ECE, Pavendar Bharathidasan College of engineering and technology,Trichy, Tamilnadu, India
Published: February 2023

A technique for Content Based Image Retrieval (CBIR) for the generation of image content descriptor which exploiting the advantage of low complexity Order Dither Block Truncation Coding (ODBTC). The quantizer and bitmap image are the compressed form of image obtained from the ODBTC technique in encoding step. Decoding is not performed in this method. It has two image feature such as Color Co-occurrence Feature (CCF) and Bit Pattern Feature (BPF) for indexing the image. These features are directly obtained from ODBTC encoded data stream. By comparing with the BTC image retrieval system and other earlier method the experimental result show the proposed method is superior. ODBTC is suited for image compression and it is a simple and effective descriptor to index the image in CBIR system. Content-based image retrieval is a technique which is used to extract the images on the basis of their content such as texture, color, shape and spatial layout. In order to minimize this gap many concepts was introduced. Moreover, Images can be stored and extracted based on various features and one of the prominent feature is Texture.
An Efficient Majority Error Detection in Logic Decoding with Euclidean Geometry Low Density Parity Check (Eg-Ldpc) Codes
Authors:   Assistant Professor,Department of Electronics & Communication Engineering,Rajalakshmi Institute of Technology, Chennai, Mr M .Vengadapathiraj , Mr U.Maheswaran ,   Assistant Professor,Department of Electronics & Communication Engineering,Rajalakshmi Institute of Technology, Chennai, Mr A.Karunakaran ,   Assistant Professor,Department of Electronics & Communication Engineering,Rajalakshmi Institute of Technology, Chennai
Published: February 2023

In a recent article, a technique was proposed to step up the majority logic decoding of variation set low density parity check codes. This is helpful as majority logic decoding can be implemented serially with trouble-free hardware but requires a huge decoding time. The method detect whether a word has errors in the initial iterations of majority logic decoding, and at what time there are no errors the decoding split ends without completing the rest of the iterations. While the majority words in a memory will be error-free, the average decoding time is significantly reduced. The outcome obtained proves that the technique is also effective for EG-LDPC codes. General simulation results are given to precisely estimate the prospect of error detection for different code sizes and numbers of errors.
Holistic Forecasting of Onset of Diabetes through Data Mining Techniques
Authors:   Research Scholar, R & D Centre, Bharathiar University, Coimbatore, India & Associate professor of Computer Science, Government Arts College, Kumbakonam, India, Mr S.Sankaranarayanan , Perumal T.Pramananda ,   Principal, Presidency College, Chennai, India
Published: February 2023

Diabetes is one of the modern day diseases that poses serious threat for the affected and is ever challenging for physicians who are involved in its management and control.Type2 diabetes mellitus ranges in exponential rating day by day in its increase. Mere not being aware of the facts and causes that can lead to such state, unawareness about diabetic symptoms and late detection make diabetic condition unmanageable and is really a challenging task to be faced all victims. This paper suggests holistic measures and means by which any common man can get into it to check whether he / she is a would-be victim of Diabetes through simple checking of symptoms that may lead to Diabetic condition, analyses the factual causes of the aforesaid disease. This would certainly make a person to ensure for the locus-centric state of whether of being a diabetic or not. The problem of diagnosing the onset and incidence of Diabetes is addressed more with a data mining approach in mind. As the success of any data mining approach is solely dependant on the underlying dataset upon which learning is manifested and taken for, this paper inspects more on locating prima-facie symptoms of diabetes disorder. A sagacious insight of analyzing the actual causes of diabetes is set and hence a comprehensive set of data for diabetic condition is proposed here. Subjecting this data to data analysis through simple data mining techniques v.i.z., FP-Growth and Apriori would certainly model a holistic inference engine that could help a doctor to be more astute in confirming the diabetic condition of patients. Association rules are also being inducted based on both of these approaches. A heuristic computer aided diagnosis (CAD) system for diabetes can be built upon this.
Support Vector Machine Based Data Classification to Avoid Data Redundancy Removal before Persist the Data in a DBMS
Authors:   Research scholar,department of computer science and engineering,St.peter's University,Avadi,Chennai,India., Ms M.Nalini,
Published: February 2023

Data Base Management System is one of the growing fields in computing world. Grid computing, internet sharing, distributed computing, parallel processing and cloud are the areas store their huge amount of data in a DBMS to maintain the structure of the data. Memory management is one of the major portions in DBMS due to edit, delete, recover and commit operations used on the records. To improve the memory utilization efficiently, the redundant data should be eliminated accurately. In this paper, the redundant data is fetched by the Quick Search Bad Character (QSBC) function and intimate to the DB admin to remove the redundancy. QSBC function compares the entire data with patterns taken from index table created for all the data persisted in the DBMS to easy comparison of redundant (duplicate) data in the database. This experiment in examined in SQL server software on a university student database and performance is evaluated in terms of time and accuracy. The database is having 15000 students data involved in various activities.
Findings of IBM WATSON procedural way to play Jeopardy Game show
Authors:   Research Scholar,Vels University, Ms D.Asha , Mr P.Mayilvahanan ,   Professor /Head Dept of Computer Application school of Computing sciences,Vels University
Published: February 2023

Question Answering technology can be used IBM WATSON method. It is a great advance to play the Jeopardy game show. The show is very challenging. Because the natural language questions to give the rapid fire answer. It is based on general knowledge , high precision and confidence. The Jeopardy is having four additional features and its very important. The given the steps are first step is Daily Double wagering, the second step Final jeopardy wagering, the third step select the next square control on the board,and the fourth confidence threshold for attempting to buzz. These decision are using sophisticated strategies. It is compared with simple rule strategies its give the chances to win the players. This articels to developing the IBM WATSON game playing strategies. After that to explain the game strategy algorithms with description. we extend our finding of how the human to performance on the show.
Social Engineering threats and Countermeasures in SHCT
Authors:   I.T Dept. Shinas College of Technology, Mr Syed Mehr Ali shah , Mr Aijaz Ahmed ,   I.T Dept. Shinas College of Technology Shinas, Oman, Mr Mir Abid Ali ,   I.T Dept. Shinas College of Technology Shinas, Oman
Published: February 2023

Computers have become such a big part of everyday life everywhere - Computer security and threat prevention is essential for individuals and organizations. And organizations are taking computer security more seriously to protect their information systems at different levels starting from physical, Personal, procedural and/up to technical level. The measures at all these levels have made the business world more effective (but not completely) at blocking inside and outside threats. These measures have made it increasingly difficult for hackers or viruses to penetrate systems. The threat to the organization is more from insiders than outsiders, in this paper we will analyze what are the internal threats in organizations, why are we defenseless and allow threats to realize and the best practices to secure our organization�s data from inside threats
Challenges of E-government in Oman
Authors:   Advanced Diploma, IBRA, Oman IBRA College of Technology, Mr Huda Salim Fayle AL-Muhiri , Mr Shaima Khamis Ahmed Al-sadi ,   Advanced Diploma, IBRA, Oman.IBRA College of Technology
Published: February 2023

We briefly discuss about the e-government which is about the finishing transactions between the government and the public through internet. First, we wrote about the three sectors of e-government which are between government and (government, citizens, business). Second, we wrote about benefits that users can get from using e-government. Third, we wrote about the challenges that e-government face
Isothermal Motion of Hydromagnetic Cylindrical Shock Waves in Self Gravitating Rotating Gas
Authors:   Department of Physics GLA University, Mathura (India), Mr M. K. Rana , Mr Devendra Kumar ,   Department of IT, Mathematics Section, Shinas College of Technology Shinas (Oman), Mr N.Ranganath ,   Department of IT, Mathematics Section, Shinas College of Technology Shinas (Oman)
Published: February 2023

In this paper the Chisnell2 Chester1 Whitham3 (CCW1-3) method has been used to study the isothermal propagation of cylindrical hydromagnetic diverging shock waves in self gravitating rotating gas in presence of constant axial magnetic field. Assuming density decreasing atmosphere and exploring magnetic field as weak and strong, the analytical expressions have been derived for both weak and strong shocks and finally the effects of overtaking disturbances behind the flow on the motion of shock have also been included
The Impact of Contemporary Technology on Shell Structures: Material and Light Solutions
Authors: Cudzik Jan , Atasoy Aygün
Published: February 2023

With the development of technology and the materials used, shell structures have developed into more complex forms. This article is a comparison between contemporary and historical shell structures. The change is an effect of the evolution in the design process that is the result of
parametric design thinking. The study aims to investigate the impact of new technologies on the architectural form of shell structures. Was there any pivot point in the history of shell structures? The secondary objective of the study is the focus on lighting in such forms and their evolution
with the view of the evolution of lighting solutions applied in architecture. With the use of new technologies, shell structures can have a new form and complex detail. They may vary in scale from small objects to large-scale structures.
Cbfβ Is a Novel Modulator Against Osteoarthritis by Maintaining Articular Cartilage Homeostasis Through TGF-Ꞵ Signaling
Authors: Che Xiangguo , Jin Xian , Park Narae , Kim Hee-June , Kyung Hee-Soo , Kim Hyun-Ju , Lian Jane B. , Stein Janet L. , Choi And Je-Yong
Published: February 2023

TGF-ꞵ signaling is a vital regulator for maintaining articular cartilage homeostasis. Runx transcription factors, downstream targets of TGF-ꞵ signaling, have been studied in the context of osteoarthritis (OA). Although Runx partner core binding factor β (Cbfβ) is known to play a pivotal role in chondrocyte and osteoblast differentiation, the role of Cbfβ in maintaining articular cartilage remains obscure. This study investigated Cbfβ as a novel anabolic modulator of TGF-ꞵsignaling and determined its role in articular cartilage homeostasis. Cbfβ significantly decreased in aged mouse articular cartilage and human OA cartilage. Articular chondrocyte-specific Cbfb-deficient mice (Cbfb△ac/△ac) exhibited early cartilage degeneration at 20 weeks old and developed OA at 12 months old. Cbfb△ac/△ac mice showed enhanced OA progression under the surgical-induced mice OA model. Mechanistically, forced expression of Cbfβ rescued Col2α1 and Runx1 expression in Cbfβ-deficient chondrocytes. TGF-ꞵ1-mediated Col2α1 expression failed despite the pSmad3 activation under TGF-ꞵ1 treatment in Cbfβ-deficient chondrocytes. Cbfβ protected Runx1 from proteasomal degradation through Cbfβ/Runx1 complex formation. These results indicate that Cbfβ is a novel anabolic regulator for cartilage homeostasis, suggesting that Cbfβ could protect OA development by maintaining the integrity of the TGF-ꞵ1 signaling pathway in articular cartilage.
Design and Fabrication of a Fully-Integrated, Miniaturised Fluidic System for the Analysis of Enzyme Kinetics
Authors: Tsiamis Andreas , Buchoux Anthony , Mahon Stephen T. , Walton Anthony J. , Smith Stewart , Clarke David J. , Stokes Adam A.
Published: February 2023

The lab-on-a-chip concept, enabled by microfluidic technology, promises the integration of multi-ple discrete laboratory techniques into a miniaturised system. Research into microfluidics has generally focused on the development of individual elements of the total system (often with rela-tively limited functionality), without full consideration for integration into a complete fully opti-mised and miniaturised system. Typically, the operation of many of the reported lab-on-a-chip devices is dependent on the support of a laboratory framework. In this paper, a demonstrator platform for routine laboratory analysis is designed and built, which fully integrates a number of technologies into a single device with multiple domains such as fluidics, electronics, pneumatics, hydraulics, and photonics. This facilitates the delivery of breakthroughs in research, by incorpo-rating all physical requirements into a single device. To highlight this proposed approach, this demonstrator microsystem acts as a fully integrated biochemical assay reaction system. The re-sulting design determines enzyme kinetics in an automated process and combines reservoirs, three-dimensional fluidic channels, optical sensing, and electronics in a low-cost, low-power and portable package.
Black Carbon Emission, Transport and Effect on Radiation Forcing Modelling During the Summer 2019–2020 Wildfires in Southeast Australia
Authors: Duc Hiep Nguyen , Azzi Merched , Zhang Yang , Kirkwood John , White Stephen , Trieu Toan , Riley Matthew L. , Salter David , Chang Lisa T.-C. , Capnerhurst Jordan , Ho Joseph , Gunashanhar Gunaratnam , Monk Khalia
Published: February 2023

The emission of black carbon (BC) particles, which cause atmospheric warming by affecting radiation budget in the atmosphere, is the result of an incomplete combustion process of organic materials. The recent wildfire event during the summer 2019-2020 in South-Eastern Australia was unprecedented in scale. The wildfires lasted for nearly 3 months over large areas of the two most populated states of New South Wales and Victoria. This study on the emission and dispersion of BC emitted from the biomass burnings of the wildfires using the Weather Research Forecast – Chemistry (WRF-Chem) model is aimed to determine the extent of the BC spatial dispersion and ground concentration distribution and the effect of BC on air quality and radiative transfer at the top of the atmosphere, the atmosphere and on the ground. The predicted aerosol concentration and AOD are compared with the observed data from the New South Wales Department of Planning and Environment (DPE) aethalometer and air quality network and from remote sensing data. The BC concentration as predicted from WRF-Chem model is in general less than the observed data as measured from the aethalometer monitoring network, but the spatial pattern corresponds well, and the correlation is relatively high. The total BC emission into the atmosphere during the event and the effect on radiation budget were also estimated. This study shows that the summer 2019-2020 wildfires affect not only the air quality and health impact on the east coast of Australia but also short-term weather in the region via aerosol interactions with radiation and cloud.
Particle Exposure Hazards of Visiting Outdoor Smoking Areas for Patients with Asthma or COPD Even in EU Countries with Comprehensive Smokefree Laws
Authors: Keogan Sheila , Alonso Tamara , Sunday Salome , Tigova Olena , Fernández Esteve , López Maria José , Gallus Silvano , Semple Sean , Tzortzi Anna , Boffi Roberto , Gorini Giuseppe , Lopez-Nicholas Angel , Hanafin Joan , Radu-Loghin Cornel , Soriano Joan B , Clancy Luke
Published: February 2023

Objective To measure, exposure to PM2.5 particles in outdoor smoking areas and changes in breathing rates in patients with asthma or chronic obstructive pulmonary disease (COPD). Setting Sixty venues in Czechia, Ireland and Spain, in an open, non-randomised, clinical trial. Participants We studied 60 patients-30 asthma patients (Female 63.3%), with a mean age (+/-standard deviation [SD]) of 47.4 (19.0 SD), and 30 COPD patients (Female 51.6%), mean age 63.5 (10.1 SD), smokers, non-smokers or ex-smokers, recruited through medical clinics. Intervention Patients wore a PM2.5 particle monitor (AirSpeck), and a breath monitor (RESpeck) for 24 hours to determine changes in breathing rates (Br) at rest and during a visit to an outside smoking area. Spirometry and breath CO were measured before and the day after visiting an outdoor smoking area. Results PM2.5 levels in the 60 venues were highly variable, in 1 premises levels of PM2.5 were sustained for at least 15 minutes at ≥ 2,000 µg/m3, in 4 premises, ≥ 500 (range 1,933-539) µg/m3, in 8 premises, ≥ 200(range 480-203) µg/m3, in 9 premises, ≥ 100 (range 170-108) µg/m3, in 8 premises, ≥ 40 (range 80.5- 40.1) µg/m3, in 9 premises, ≥ 25 µg/m3, in 10 premises, ≥ 10 µg/m3, in 8 premises, and ≤10 µg/m3 in only 3 premises, with a single wall. The overall breathing rates/minute (Br)did not change significantly but in 28 patients mean Br increased from 21.47 (1.74 SD) to 22.8 (2.29 SD), change of -1.35 (-1.80-0.91 C.I), p value 0.00 and mean in 29 patients Br decreased from 21.95(2.43 SD) to 20.38(2.79 SD), 1.57(1.03-2.12 C.I), p value 0.00. Conclusion Exposure to high levels of PM2.5, and associated alteration of patients’ breathing rates occurred in outdoor smoking areas despite national comprehensive smokefree laws. These exposure levels support the abolition of such areas. (Words 295) ClinicalTrials.gov ID: NCT03074734 Ethics: Approval Number: Ref: 15-103
Towards an Integrated Methodology and Toolchain for Machine Learning based Intrusion Detection in Urban IoT Networks and Platforms
Authors: Rangelov Denis , Lämmel Philipp , Brunzel Lisa , Borgert Stephan , Darius Paul , Tcholtchev Nikolay , Boerger Michell
Published: February 2023

The constant increase in volume and wide variety of available Internet of Things (IoT) devices leads to highly diverse software and hardware stacks, which opens new avenues for exploiting previously unknown vulnerabilities. The ensuing risks are amplified by the inherent IoT resource constraints both in terms of performance and energy expenditure. At the same time, IoT devices often times generate or collect sensitive, real-time data used in critical application scenarios (e.g. health monitoring, transportation, smart energy, etc.). All these factors combined make IoT networks a primary target and potential victims for malicious actors. In this paper, we present a brief overview of existing attacks and defense strategies against urban IoT networks. The goal of this work is twofold: First, it presents a summary of some of the common attack vectors and the corresponding solutions available in the research literature. Then, the paper lays out a theoretical plan and a corresponding pipeline of steps (i.e. development and implementation process) for the design and application of the solutions encountered throughout the course of the research efforts. The end goal of following this plan is the deployment of the proposed IoT security measures in a real-world urban IoT infrastructure.
Integrative medicine rehabilitation for post-stroke limb spasticity: A multicenter randomized controlled trial
Authors: Wang Meng , Liu Shouguo , Peng Zhihang , Zhu Yi , Feng Xiaodong , Gu Yihuang , Sun Jianhua , Tang Qiang , Chen Hongxia , Huang Xiaolin , Hu Jun , Chen Wei , Xiang Jie , Wan ChunXiao , Fan Gangqi , Lu Jianhu , Xia Wenguang , Chen Liping , Wang Lihua , Lu Xiao , Li Jianan
Published: February 2023

Objective: This study aimed to determine whether integrative medicine rehabilitation (IMR) that combines conventional rehabilitation (CR) with Tui Na and traditional Chinese external medicine Baimai-ruangao is more effective than CR alone for the treatment of post-stroke limb spasticity.
Design: Multicenter randomized controlled intervention trial involving 16 hospitals across ten cities in China.
Subject: 444 patients with post-stroke limb spasticity were randomly assigned toIMR group (n=222) or CR group (n=222).
Methods: Tui Na was performed for patients with post-stroke limb spasticity. Traditional Chinese external medicine Baimai-ruangao as the massage medium was applied on the skin surface. The treatment course was 1 month. Muscle tone in the spastic muscles (elbow flexors, wrist flexors, finger flexors, knee extensors, ankle plantar flexors) was evaluated using the Modified Ashworth Scale (MAS), and the primary endpoint was the change in MAS score from baseline to 4 weeks.
Results: The IMR group showed a significantly better reduction in the MAS scores for five muscle groups than the CR group after the 4-week intervention. Improvements were sustained at the 3-month and 6-month follow-up. Patients with a baseline muscle tone score of 1+ to 4 on the MAS for the affected limb showed the greatest benefit of IMR. No adverse reaction was observed in the IMR group.
Conclusion: The combination of CR and IMR is safe and more effective than CR alone for alleviating post-stroke limb spasticity.
New climate classification for Northeast Brazil using reanalysis data
Authors: Sales Eliton Sancler Gomes , Matsunaga Wendy Kaori , Júnior Gervásio Costa Assis , Braga Célia Campos , Sakamoto Meiry Sayuri , Lucena Daisy Beserra , Brito José Ivaldo Barbosa
Published: February 2023

The Climate of the Northeast Region of Brazil (NEB) has been intensively studied and analyzed. Studies have used objective climate classification methods such as the aridity index of the United Nations Environment Programme (UNEP) (AIUNEP), however, without fully satisfactory results. The input variables needed for calculation of the AIUNEP are precipitation and reference potential evapotranspiration (ET0). However, although rainfall stations that record routine measurements of precipitation data are well distributed in the NEB, weather stations that provide the set of variables necessary for the estimation of ET0 are scarce. When weather stations are absent in a location, ET0 is interpolated, but this can lead to errors. Another objective climate classification approach is the Thornthwaite method, which is based on the determination of the moisture index (Im), whose calculation also requires weather stations data. Therefore, seeking improve the spatial distribution of information on meteorological variables in the NEB, the present work had as one of the objectives to validate reanalysis data from ERA5 of the European Center for Medium-range Weather Forecast (ECMWF) and the unified gauge-based analysis of global daily precipitation project of the Climate Prediction Center/National Oceanic and Atmospheric Administration (CPC/NOAA). After validation, climatic classifications were developed for the NEB using the AIUNEP and Im indices. It was observed that Thornthwaite climate classification tended to overestimate the aridity of the NEB, while the classification using AIUNEP tended to underestimate it. For these reasons, a new climate classification index, called absolute aridity index (Iab), yielding satisfactory results.
ComplexEye - a multi lens array microscope for High-Throughput embedded immune cell migration analysis
Authors: Gunzer Matthias , Cibir Zülal , Hassel Jacqueline , Sonneck Justin , Kowitz Lennart , Chen Jianxu , Ghosh Susmita , Sickmann Albert , Beer Alexander , Kraus Andreas , Hallekamp Gabriel , Rosenkranz Martin , Raffelberg Pascal , Olfen Sven , Smilowski Kamil , Burkard Roman , Seidl Karsten , Grabmaier Anton , Viga Reinhard , Helfrich Iris , Klebl Anne-Kathrin , Klebl Bert , Eickhoff Jan
Published: February 2023

Autonomous migration is essential for the function of immune cells such as neutrophils and plays an important role in numerous diseases. The ability to routinely measure or target it would offer a wealth of clinical applications. Video microscopy of live cells is ideal for migration analysis, but cannot be performed at sufficiently high throughput (HT). We have developed ComplexEye, an array microscope with 16 independent aberration-corrected glass lenses spaced at the pitch of a 96-well plate to produce high-resolution movies of migrating cells. With the system, we enable HT migration analysis of immune cells in 96- and 384-well plates with very energy-efficient performance. We demonstrate that the system can measure multiple clinical samples simultaneously. Furthermore, we screened 1,000 compounds and identified 17 novel modifiers of migration in human neutrophils in just 4 days, a task that requires 60-times longer with a conventional video microscope. ComplexEye thus opens the field of phenotypic HT migration screens and enables routine migration analysis for the clinical setting.
Significant spatial variations of the atmospheric environment at remote site of the Tibetan Plateau – a case study on major ions of precipitation around Nam Co Station
Authors: Liu Yixi , Zhang Chao , Yan Fangping , Xu Yinbo , Wang Pengling , Li Chaoliu
Published: February 2023

Remote region is normally considered a receptor of long-range transported pollutants. Monitoring stations are important platforms for investigating the atmospheric environment of remote regions. However, the potential contribution of very local sources around these stations may produce important influences on its atmospheric environment, which is still barely studied. In this study, major ions of precipitation were investigated simultaneously at a typical remote station (Nam Co station) and other sites nearby on the Tibetan Plateau (TP) –the so-called “The Third Pole” in the world. The results showed that despite low values compared to those of other remote regions, the concentrations of major ions in precipitation of Nam Co Station (e.g., Ca2+: 31.47 µeq/L; SO2- 4: 1.72 µeq/L) were significantly higher than those at a site around 2.2 Km away (Ca2+: 11.99 µeq/L; SO2- 4: 0.80 µeq/L), providing direct evidence that atmospheric environment at Nam Co Station is significantly influenced by mineral dust and pollutants emitted from surface soil and anthropogenic pollutants of the station itself. Therefore, numbers of other related data reported on the station are influenced. For example, the aerosol concentration and some anthropogenic pollutants reported on Nam Co Station should be overestimated. Correspondingly, similar phenomenon should exist at other remote stations of the TP, which needs to be considered. Meanwhile, it is suggested that it is cautious in selecting sites for monitoring the atmospheric environment at the remote station to reduce the potential influence from local sources.