bluuebunny/crossref_metadata_2025 huggingface dataset:
Neonatal mortality in the Maribor region (1997–2008)
Authors: Burja Silva , Treiber Milena , Tekauc-Golob Andreja , Takač Iztok , Hajdinjak Dušanka , Gajšek-Marchetti Marijana , Mičetić-Turk Dušica
Published: February 2023

Purpose: To provide a summary of neonatal mortality data for a group of 24,044 live births in the Maribor Department of Perinatology between 1997 and 2008.

Methods: The National Perinatal Informational System (NPIS) cohort files for 1997–2008 were used for this study. Data are presented using cohorts based on dates of birth and death. The University Clinical Center serves the population of northeastern Slovenia, with 24,044 live births in this 12-year period. Yearly cohorts of neonatal deaths were analyzed by gestational age (GA) distribution, birth weight (BW) distribution, age at death, and cause of death.

Results: The average neonatal mortality rate in the 12-year investigated group was 2.2 per 1000 live births with a GA of 28-42 weeks and 4.7 per 1000 live births with a GA of 22-42 weeks. The smallest group, with an extremely low birth weight (ELBW; <1000 g), accounted for approximately 50% of all neonatal deaths, newborns weighing 1000-1500 g accounted for approximately 20% of all neonatal deaths, the group with a BW of 1500-2500 g accounted for 10% of neonatal deaths, and newborns weighing >2500 g accounted for approximately 20% of all neonatal deaths. The largest percentage of neonatal deaths was deaths due to immaturity, and represented 54% of all reported deaths during the investigated period.

Conclusion: Oscillations in neonatal mortality rates during the 12 years first occurred in 1997-2005 in direct connection with the number of extremely premature newborns. In the last 4 years of the 12 years we observed a new and better quality indicator, i.e., a lower neonatal mortality rate in spite of the increased preterm delivery rate. Analysis of quality indicators in perinatology should be part of routine clinical care.
Małe miasta w Polsce w systemie dojazdów do pracy
Authors: Szmytkie Robert , Sikorski Dominik
Published: February 2023

Małe miasta stanowią w Polsce ważne ogniwo w systemie osadniczym, pełniąc funkcje ośrodków lokalnych głównie dla otaczających je obszarów wiejskich. W tym kontekście zasadne wydają się następujące pytania: (1) Czy pełnienie funkcji lokalnych przekłada się na strukturę dojazdów do pracy w małych miastach? (2) Jakie jest znaczenie małych miast w systemie dojazdów do pracy? (3) Jakie czynniki mają wpływ na kształtowanie struktury dojazdów do pracy w małych miastach? Głównymi celami artykułu było określenie pozycji małych miast w krajowym systemie dojazdów do pracy oraz ich typologia w kontekście struktury tych dojazdów. Do określenia struktury miejsc pracy i miejsc zamieszkania w małych miastach wykorzystano dane dotyczące przepływów ludności związanych z zatrudnieniem z lat 2006, 2011 i 2016. Na podstawie liczby osób przyjeżdżających i wyjeżdżających do pracy określono typy małych miast, wyróżniając trzy zasadnicze rodzaje relacji: (1) zrównoważony układ miejsc pracy i miejsc zamieszkania, (2) przewagę miejsc pracy i (3) przewagę miejsc zamieszkania. Użycie danych z trzech przekrojów czasowych umożliwiło z kolei prześledzenie trendów zmian w zakresie struktury miejsc pracy i miejsc zamieszkania w małych miastach. Dodatkowo małe miasta podzielono z uwagi na ich wielkość i rangę w systemie osadniczym (wyróżniając małe miasta powiatowe). Podjęto także próbę identyfikacji różnic regionalnych oraz wpływu innych ośrodków miejskich (zwłaszcza dużych miast) na strukturę dojazdów do pracy w małych miastach. Przeprowadzone badania pozwoliły wysunąć następujące wnioski: (1) w ostatnich latach nastąpił wzrost liczby małych miast pełniących funkcję miejsca zamieszkania i spadek liczby miast o funkcji miejsca pracy, (2) specyfika sieci osadniczej w danym regionie wpływa na występowanie różnic w zakresie struktury dojazdów do pracy w małych miastach, (3) na funkcję małego miasta w systemie dojazdów do pracy ma wpływ jego liczba mieszkańców i ranga w systemie osadniczym, przyczyniając się do wzrostu znaczenia funkcji miejsca pracy, (4) małe miasta położone w miejskich obszarach funkcjonalnych są zwykle wyspecjalizowane w zakresie struktury dojazdów do pracy.
Peningkatan Kinerja Pedestrian Berdasarkan Persepsi Pejalan Kaki di Jalan Jawa Kecamatan Sumbersari Kabupaten Jember
Authors: Romadona Wulida Putri , Hasanuddin Akhmad , Listyawati Ratih Novi
Published: February 2023

Pedestrian merupakan lintasan yang bertujuan memberikan pelayanan bagi penggunanya sehingga menjamin kelancaran, keamanan, dan kenyamanan pejalan kaki (Departemen Pekerjaan Umum,1999). Namun kenyataannya masih terdapat pedestrian yang tidak berfungsi secara maksimal dimana pemanfaatannya digunakan untuk berdagang PKL dan parkir kendaraan motor sehingga pelayanannya tidak menjamin kelancaran, keamanan dan kenyamanan. Jalan Jawa adalah bagian dari kecamatan Sumbersari dengan fungsi jalan kolektor yang memiliki keberagaman penggunaan lahan seperti pendidikan, perkantoran serta perdagangan dan jasa sehingga menimbulkan banyaknya pejalan kaki yang berjalan di jalan Jawa. Adapun beberapa permasalahan di koridor Jalan Jawa seperti banyakanya PKL yang berjualan serta parkir kendaraan di sepanjang koridor.Jalan Jawa..Selain.itu, kondisi fisik.pedestrian mengalami kerusakan di beberapa titik pedestrian di koridor Jalan Jawa. Permasalahan yang terjadi perlu adanya peningkatan kinerja pedestrian guna menunjang rasa aman, nyaman dan menyenangkan bagi pejalan kaki. Penelitian ini bertujuan mengetahui kinerja pedestrian berdasarkan persepsi pejalan kaki menggunakan metode analisis IPA (importance performance analysis). Analisis IPA digunakan untuk mengetahui tingkat kinerja dan tingkat kepentingan pada variabel keselamatan, kondisi menyenangkan, dan keamanan. Hasil dari analisis IPA, didapatkan sub varaibel yang masuk dalam kuadran I meliputi ketersediaan aksesibilitas bagi penyandang disabilitas, pedestrian bebas dari PKL, pedestrian bebas dari kendaraan bermotor, ketersediaan tempat sampah, dan ketersediaan bolar. Ouput dalam penelitian ini berupa rekomendasi dalam meningkatkan kinerja pedestrian berdasarkan persepsi pejalan kaki antara lain penyediaan lajur pemandu pada pedestrian, pemberlakukan peraturan terkait penataan PKL, pengaturan parkir, pengadaan tempat sampah, serta perbaikan dan pengadaan bolar.
Arah Pengembangan Kawasan Peternakan Sapi Unggul Ras Madura Di Kecamatan Waru Kabupaten Pamekasan
Authors: Zain Emelia , Suciati Luh Putu , Koesoemawati Dewi Junita
Published: February 2023

Pengembangan kawasan peternakan dapat berjalan dengan baik apabila didukung oleh kesesuaian lingkungan fisik dan ketersediaan hijauan pakan yang memadai sebagai sumber makanan ternak. Analisis dilakukan dengan metode overlay pada berbagai jenis peta (Peta penggunaan lahan, peta tanah, peta administrasi, peta suhu, kerengan, dan curah hujan) menggunakan GIS pada analisis kesesuaian lahan, data tabular pada analisis ketersediaan hijauan pakan, serta analisis FFA (Force Field Analysis). Luas kesesuaian fisik lingkungan untuk peternakan sapi yang dikandangkan 5.875,794 Ha (83,6%) dari luas wilayah, lahan yang tidak sesuai 19,1 Ha (0,27%), dan tidak dinilai seluas 1.133,212 Ha (16,1%). Sedangkan lahan yang sesuai untuk berbagai hijauan pakan ternak seluas 5.852,83 Ha (83,2%) dari luas wilayah, lahan yang tidak sesuai seluas 34,60 Ha (0,5%), dan tidak dinilai 1.140,74 Ha (16,3%). Daya dukung hijauan di Kecamatan Waru berada pada kriteria aman di 4 desa (Bajur, Sumberwaru, Sana Laok, Tampojung Tengah), 6 desa dengan kriteria rawan, dan 2 desa (Waru Barat, Tagangser Laok) dengan kriteria kritis. Hasil analisis FFA diketahui faktor kunci pendorong adalah memiliki ketersediaan lahan yang luas, serta peningkatan harga sapi, sedangkan faktor penghambat kunci adalah konversi lahan menjadi kawasan terbangun, dan minimnya dukungan infrastruktur dasar. Arahan pengembangan kawasan peternakan sapi di Kecamatan Waru dilakukan dengan mengoptimalkan potensi ketersediaan lahan.
Perspective: microbial interventions in the urinary tract
Authors: Reid Gregor
Published: February 2023

Despite multiple advances in medicine, the management of urinary tract infections (UTIs) in women has remained stalled for decades. To prevent the development of symptomatic recurrences, low-dose antibiotics are the mainstay, while alternative approaches have been attempted with limited success. The use of probiotics was first considered forty years ago, and while some promising studies have been published, additional evidence in larger patient groups is needed to recommend specific strains as a primary preventive regimen. Overall, the role of beneficial microbes in reducing the risk of UTI and other urological diseases, such as urolithiasis, remains a target for researchers. The aim of this perspective is to offer a viewpoint on the status of this approach and recommendations for how to develop novel probiotic therapies.
JARINGAN SYARAF TIRUAN BACKPROPAGATION DENGAN ADAPTIVE MOMENT ESTIMATION UNTUK KLASIFIKASI PENYAKIT COVID-19 DI KALIMANTAN SELATAN
Authors: Saragih Triando Hamonangan , Huda Nurul
Published: February 2023

Jaringan syaraf tiruan adalah suatu metode komputasi yang meniru sistem jaringan syaraf biologi. Metode ini menggunakan elemen perhitungan non-linier dasar yang disebut neuron yang diorganisasikan sebagai jaringan yang paling berhubungan, sehingga mirip dengan jaringan syaraf manusia. Salah satu teknik penerapannya bisa dilakukan sebagai metode klasifikasi. Salah satu metode klasifikasi yang sering digunakan yaitu metode Backpropagation. Metode Backpropagation menggunakan konsep supervised learning. Salah satu pendekatan yang bisa dilakukan dalam pembelajarannya dengan melakukan optimasi pembobotan. Metode optimasi yang digunakan yaitu metode optimasi Adaptive Moment Estimation (ADAM). Optimasi ADAM yaitu metode optimasi yang menggunakan konsep stokastik dalam melakukan pencarian parameter terbaik. Data yang digunakan pada penelitian ini yaitu data Covid 19 di Kalimantan Selatan. Data yang digunakan sebanyak 192 kasus yang mana 121 penyakit Covid 19 dan 71 penyakit bukan Covid. Hasil akurasi dari klasifikasi menggunakan metode Backpropagation yang sudah dioptimasi dengan metode ADAM menyatakan lebih baik dibandingkan tanpa optimasi ADAM dengan akurasi rata-rata sebesar 69.77% dan akurasi maksimal terbaik sebesar 71.05%.
Moderasi ESG Risk pada Keputusan Investasi Terhadap Return Saham
Authors: Stiadi Doni , Wulansari Yusniar Meina , Abidin M. Zainal
Published: February 2023

financial performance but also relate to the company's sustainability of the environment as a responsibility for the environmental impact of the company's activities. Alignment of corporate responsibilities can be seen in the company's concern for Environmental, Social, and Governance (ESG). This study aims to analyze the role of ESG Risk in moderating the relationship between investment decisions and stock returns in the ESG Leader Index (IDXESGL) group of companies on the Indonesia Stock Exchange (IDX). The sample was selected using the purposive sampling method in 30 companies for the period March 2021-September 2022 with 4 IDXESGL index evaluation periods so that 20 companies were selected and the total observation data was 80 observations. The research data were analyzed using the Moderated Regression Analysis (MRA) method. The results of the analysis show that ESG Risk moderates the effect of investment decisions on stock returns. Therefore, the better the company's ESG performance (the lower the ESG Risk) will strengthen the effect of investment decisions on company performance as indicated by an increase in stock returns, and in the future the company will continue to grow in a sustainable manner. Keywords: ESG Risk, investment decisions, stock returns
KELAYAKAN PROBLEM BASED LEARNING DIPADU STEM UNTUK MENINGKATKAN LITERASI DIGITAL PESERTA DIDIK
Authors: Alyspa Julissa Ruri , Suyidno Suyidno , Miriam Sarah
Published: February 2023

Problem of the low literacy assessment the problem of the low digital literacy assessment of students underlies the development of learning tools that aim to improve students' digital literacy. The tools developed combined with STEM consist of lesson plans, teaching materials, LKPD, THB, and digital literacy questionnaires. Development model ADDIE used in this study and the trial used one-group pre-test post-test design. The test subjects were 24 students of class X PMIA 1 SMAN 3 Banjarmasin. The results of the study indicate that: (1) the device is valid because the results of the validation of lesson plans, teaching materials, LKPD, THB, and digital literacy questionnaires meet the valid category; (2) The device is practical, because the lesson plans and student responses meet the practical category; and (3) the device is considered effective, due to the increase in digital literacy and student learning outcomes in the high category. Thus, the PBL combined STEM that was developed is feasible to improve students' digital literacy in learning physics.Keywords: development devices, digital literacy, PBL, STEM. ABSTRAKDi era industri 4.0, penguasaan literasi digital mempengaruhi berbagai bidang kehidupan manusia. Namun, literasi digital tersebut belum dilatihkan dengan baik di sekolah. Perangkat yang dikembangkan dipadukan dengan STEM terdiri dari RPP, materi ajar, LKPD, THB, dan angket literasi digital. Model pengembangan ADDIE digunakan pada penelitian ini dan uji coba menggunakan one-group pre-test post-test design. Subjek uji coba adalah 24 peserta didik kelas X PMIA 1 SMAN 3 Banjarmasin. Hasil penelitian menunjukkan bahwa: (1) Perangkat termasuk valid karena hasil validasi RPP, materi ajar, LKPD, THB, dan angket literasi digital memenuhi kategori valid; (2) Perangkat termasuk praktis, karena RPP dan respon peserta didik memenuhi kategori praktis; dan (3) Perangkat termasuk efektif, karena peningkatan literasi digital dan hasil belajar peserta didik dalam kategori tinggi. Dengan demikian, perangkat PBL dipadu STEM yang dikembangkan adalah layak untuk meningkatkan literasi digital peserta didik dalam pembelajaran fisika.Kata kunci: pengembangan perangkat, literasi digital, PBL, STEM.
MOBILNE KUĆICE – IZAZOVI I ŠANSE U RAZVOJU KAMPING RESORTA U HRVATSKOJ
Authors: Cvelić Bonifačić Josipa
Published: February 2023

Svrha – Svrha ovog rada je istražiti pojam, razvoj i ključne pokazatelje poslovanja mobilnih kućica, istražiti izazove i šanse za razvoj kamping resorta kroz mobilne kućice, ali i kontroverze koje prate ovakav dinamičan razvoj jedne vrste smještaja u kampovima i kamping resortima. Obrada teme – U radu se istražuju pojmovi i povijest vezana za mobilne kućice, pravni okvir za mobilne kućice u Hrvatskoj te ključni pokazatelji poslovanja mobilnih kućica u Hrvatskoj. U radu se odgovara na pitanje: Što su zapravo mobilne kućice, koji su njihovi ključni pokazatelji poslovanja, kakav je razvoj u Hrvatskoj, kakva je pravna regulativa, koji su zazovi i šanse ali i kontroverze koje se pojavljuju vezano za sve veći broj mobilnih kućica u Hrvatskim kampovima. Pored istraživanja dostupne literature, za potrebe ovog rada izvršeni su usmeni intervjui s 38 menadžera iz područja gospodarstva vezanog uz mobilne kućice te izvršena usporedna analiza ključnih pokazatelja poslovanja kampova Hrvatske u periodu 2018. do 2021. godina iz projekta „Benchmarking kampova“ kojeg provodi Fakultet za menadžment u turizmu i ugostiteljstvu Opatija. Zaključak – Mobilne kućice u Hrvatskoj postaju značajan faktor konkurentnosti hrvatskih kamping resorta, doprinose boljoj popunjenosti kao i poboljšanju ključnih pokazatelja poslovanja kampova ali izazivaju i brojne kontroverze te proizlazi da je njihov status potrebno dodatno definirati.
MJERENJE ZADOVOLJSTVA TURISTIČKIH VODIČA PRUŽENIM HOTELSKIM USLUGAMA
Authors: Rašan Mišo , Berečić Jelena , Medved Nikola
Published: February 2023

Svrha – Turistički vodiči poveznica su između turističkih agencija, hotela i grupa turista s najmanje jednim noćenjem u destinaciji. Polazeći od navedenog, cilj ovog istraživanja bio je ispitati i analizirati stavove turističkih vodiča sjeverozapadne Hrvatske o njihovom sveukupnom zadovoljstvu hotelskim uslugama i namjeri preporuke hotela turističkim agencijama za koje rade. Metode – U tu svrhu na temelju relevantne znanstvene literature kreiran je anketni upitnik koji je distribuiran u online obliku. U mjerenju kvalitete hotelskih usluga iz perspektive turističkih vodiča korišten je modificirani SERVQUAL model, a ispitivanje je provedeno na uzorku od 52 ispitanika. Obzirom da je ovo istraživanje prvo koje se bavi spomenutom tematikom u sjeverozapadnoj Hrvatskoj, odlučeno je najprije provesti pilot testiranje. Zaključci – Rezultatima provedenog empirijskog istraživanja utvrđeno je da je kod većine čestica u modelu prisutan negativan SERVQUAL jaz, što znači da hotelijeri nisu nadmašili očekivanja turističkih vodiča. Usprkos toj činjenici, ispitani turistički vodiči bili su zadovoljni ukupnom pruženom hotelskom uslugom te planiraju preporučiti hotel svojim poslodavcima, točnije turističkim agencijama. Originalnost istraživanja – Osim što je ovim istraživanjem dokazan SERVQUAL model kao prikladan instrument za mjerenje zadovoljstva turističkih vodiča, doprinos ovog istraživanja od značajan je za hotele jer temeljem dobivenih podataka mogu determinirati trenutnu razinu kvalitete koju pružaju s ciljem njezina poboljšanja i unaprijeđena.
Dynamic Vascular Imaging Using Active Breast Thermography
Authors: Gershenson Meir , Gershenson Jonathan Peter
Published: February 2023

Mammography is the gold standard for breast cancer screening and diagnostic imaging; however, there is an unmet clinical need for complementary methods to detect lesions not characterized by mammography. Far-infrared 'thermogram' breast imaging can map the skin temperature, and signal inversion with components analysis can be used to identify the mechanisms of thermal image generation of the vasculature using dynamic thermal data. This work focuses on using dynamic infrared breast imaging to identify the thermal response of the stationary vascular system and the physiologic vascular response to a temperature stimulus affected by vasomodulation. The recorded data is analyzed by converting the diffusive heat propagation into a virtual wave and identifying the reflection using component analysis. Clear images of passive thermal reflection and thermal response to vasomodulation were obtained. Validation of this proposed paradigm through further clinical exploration may demonstrate clinical utility for the IR modality in diagnostic imaging, offering a potential solution to the current unmet clinical need.
Development and Evaluation of a Workplace Bullying Cognitive Rehearsal-Based Nursing Simulation Education Program: A Mixed-Methods Study
Authors: Park Mijeong , Choi Jeong Sil
Published: February 2023

Bullying makes learning difficult for nursing students, and using real-life scenarios during training can improve the understanding of workplace bullying. Thus, to mitigate bullying experienced by nurses, this study developed and evaluated a cognitive rehearsal education program that constituted of training nursing students through role-play simulations. A mixed-method research design was used to evaluate 39 nursing students from two universities. A quasi-experimental research design was applied to assess symptoms, knowledge, and perceptions of bullying, and a focus group interview was conducted with six participants. Quantitative analyses revealed that the program improved participants’ knowledge and perceptions, but not their symptoms. The focus group interview revealed that the program improved participants’ coping skills and desire for education. This program could be effective in raising awareness of workplace bullying and increasing relevant coping skills. It can be further developed as part of an overall strategy to manage workplace bullying and its consequences in hospital settings.
High Strength Ternary Concrete Mix Development for Precast Industry
Authors: Akhnoukh Amin , Elia Hala
Published: February 2023

Supplementary cementitious materials (SCMs) are increasingly used in precast concrete industry to enhance concrete strength and durability. SCMs of large market share in precast concrete in-dustry include silica fume, also known as micro-silica and class C fly ash. The main objective of this research is to develop non-proprietary high strength concrete mixes for precast/prestressed concrete industry. Two SCMs are used simultaneously in partial replacement of portland cement to develop ternary mixes. Class c fly ash and silica fume incorporation in the mix design, in ad-dition to low water-to-powder ratio resulted in the successful development of high strength mixes with minimum 24-hour strength in excess of 70 MPa and a final compressive strength ex-ceeding 100 MPa at 28 days. Mechanical properties testing of developed concrete mixes showed that SCMs incorporation resulted in increased values for hardened concrete modulus of elasticity (MoE) and modulus of rupture (MoR). The enhanced concrete properties, mainly high early strength, are highly required in precast concrete industry as it allows for increased productivity of precast facilities and the possibility of pouring high strength slender sections for prestressed concrete applications
Spatiotemporal Evolution of Ground Subsidence and Extensional Basin Bedrock Organization: An Application of Multitemporal Multi-Satellite SAR Interferometry
Authors: Brunori Carlo Alberto , Murgia Federica
Published: February 2023

Since the early 1990s, the European (ESA) and Italian (ASI) space agencies have managed and distributed a huge amount of satellite-recorded SAR data to the research community and private industries. Moreover, the availability of advanced cloud computing services implementing different multi-temporal SAR interferometry techniques allows the generation of deformation time series from massive SAR images. We exploit the information provided by a large PS dataset to determine the temporal trend of ground deformation and the relative deformation rate with millimetric accuracy to analyse the spatial and temporal distribution of land subsidence induced by water pumping from a deep confined aquifer in the Northern Valle Umbra Basin (Central Italy), exploiting 24 years of Permanent Scatterers – Interferometric SAR data archives. The SAR images were acquired between 1992 and 2016 by satellite ERS1/2, ENVISAT and Sentinel 1 ESA missions, and the COSMO-SkyMed ASI mission). We observe ground velocities and deformation geometries between 1992 and 2016, with displacements of more than 70 cm and velocities of up to 55 mm/yr and the results suggest that the shape and position of the surface ground displacement are controlled by the fault activity hidden under the valley deposits.
Using Ensemble Convolutional Neural Network to Detect Deepfakes Using Periocular Data
Authors: Johnson David , Yuan Xiaohonh , Roy Kaushik
Published: February 2023

Deepfakes are manipulated or altered images, or video, that are created using deep learning models with high levels of photorealism. The two popular methods of producing a deepfake are based on either convolutional neural networks (CNN), or autoencoders. Deepfakes created using CNN comparatively show higher qualities of realism, yet oftentimes leave artifacts and distortions in the generated media that can be detected using machine learning and deep learning algorithms. In recent years, there has been an influx of periocular image and video data because of the increase usage of face masks. By wearing masks, much of what is used for facial recognition is hidden, leaving only the periocular region visible to an observer. This loss of vital information leads to easier misidentification of media, allowing deepfakes to less likely be identified as fake. In this work, feature extraction methods, such as Scale-Invariant Feature Transform (SIFT), Histogram of Oriented Gradients (HOG), and CNN, are used to train an ensemble deep learning model to detect deepfakes in videos on a frame-by-frame level based on the periocular region. Our proposed model is able to distinguish original and manipulated images with accuracies around 98.9 percent, which is an improvement to previous works by combining SIFT and HOG for deepfake detection in convolutional neural networks.
The Effects of Learning and Eating Behaviours among Medical Students during the COVID-19 Pandemic
Authors: Rahman Sayeeda , Kirton Rita , Roach Brenda , Montero Maria Teresa Villagomez , Podcheko Alexey , Nouraee Nader , Ahsan Sadia , Nisar Joshua Noel , Rabbi Ahbab Mohammad Fazle
Published: February 2023

Background: The effect of the COVID-19 pandemic has transformed medical education and is likely to have long-lasting effects on student learning, mental well-being, and eating behaviour. This study aimed to examine the learning behaviors of medical students at the American University of Integrative Sciences (AUIS), Barbados, during the COVID-19 pandemic. Methods: A cross-sectional web-based online survey was administered to medical students at AUIS from July until November 2021. The data collecting instrument recorded students’ demographic and learning behaviour information (Meo et al. 2020), and eating disorders (SCOFF questionnaire). Results: The overall response rate was 55% (n=120). In relation to learning behaviour, students agreed with the following statements: ‘deterioration in work performance and studying’ (48.4%), ‘remember subject’s contents appropriately’ (40.4%), ‘concentration on the studies’ (40.3%), ‘difficulty in performing two tasks simultaneously’ (38.7%), ‘difficulty in performing mental calculations’ (33.9%), ‘difficulty in recalling recent information’ (32.3%), and ‘difficulty in recalling old information’ (38.7%). Among the 8 dimensions of learning behaviors, deterioration in work performance or studying, and difficulties in recalling recent information were found to be significantly associated with the gender of the students. For SCOFF questionnaire, approximately 24.2% screened positive for eating disorders. Screening with the SCOFF test demonstrated that female, older (>25 years), overweight + obese, Clinical Sciences + PreMed, and non-USA-based students were at more risk of eating disorders. Conclusions: The results indicate that during the COVID-19 pandemic AUIS students have developed learning difficulties, and are likely to have eating disorders. University policymakers should take appropriate measures to support a healthy learning environment and improve students' mental well-being and eating behaviours.
OCTOPUS: A Novel Approach for Health Data Masking and Retrieving Using Physically Unclonable Function and Machine Learning
Authors: Satra Sagar , Sadhu Pintu , Yanambaka Venkata P. , Abdelgawad Ahmed
Published: February 2023

The health equipment are used to keep track of significant health indicators, automate health interventions, and analyze health indicators. People have begun using mobile applications to track health characteristics and medical demands because all devices are linked to high-speed internet and phones. Such a combination of smart devices, the internet, and mobile applications expands the usage of remote health monitoring through the Internet of Medical Things (IoMT). The accessibility and unpredictable aspects of IoMT create massive security and confidentiality threats in IoMT systems. In this proposed paper - Octopus, Physically Unclonable Functions (PUFs) have been used to provide privacy to the healthcare device by masking the data, and machine learning (ML) technique is used to retrieve the health data back and for reducing security breaches on networks. This technique has exhibited 99.45% accuracy, which proves that this technique could be used to secure health data with masking.
Lateral Epicondylitis
Authors: Marigi Erick M. , Dancy Malik , Alexander Andrew , Marigi Ian M. , Clark Julian , Krych Aaron J. , Camp Christopher L. , Okoroha Kelechi R.
Published: February 2023

» Lateral epicondylitis (LE) or tennis elbow is a common cause of elbow pain in the general population, especially women in the fourth and fifth decades of life who participate in repetitive forceful movements involving the wrist and forearm.

» The pathogenesis of this overuse injury is believed to start from an overload event leading to a microtear in or near the origin of the extensor carpi radialis brevis that is subsequently prone to additional injury and structural weakness over time.

» Treatment of LE often begins with a wide variety of nonoperative modalities including rest, nonsteroidal anti-inflammatory drugs, bracing, and physical therapy. For recalcitrant symptoms, additional nonoperative therapies are implemented; however, there remains a lack of comparative efficacy between these adjunct treatments.

» In this article, we examine the available literature regarding nonoperative management of LE and provide supplementary insight into the effectiveness of current modalities.
The Determinants of Career Selection as a Public Accountant: The Role of a Financial Reward Moderator
Authors: Rahayu Ruci Arizanda , Abidin Fityan Izza Noor
Published: February 2023

This study aims to identify the Factors Influencing the Career Selection of Accounting Students as Public Accountants by using financial rewards as a moderating variable for UMSIDA and UBHARA Accounting students. The population or subjects in this study consisted of Accounting Study Program students from the Muhammadiyah Sidoarjo University and Bhayangkara University Surabaya class of 2018. In this study, a quantitative method was used by distributing questionnaires online. By using Slovin’s formula, 80 respondents filled out the research questionnaire. The results of the study show that professional training, social values, work environment, and labor market considerations influence the choice of a career as a Public Accountant. As a moderating variable, financial reward strengthens the influence of professional training, social values, work environment, and labor market considerations on choosing a career as a Public Accountant. This research has implications for final-year Accounting students in determining careers as Public Accountants.
Using Nationwide Health Records to Address Care Gaps in Diabetes and Prediabetes Diagnosis through AI Assisted Large-Scale Prioritized Outreach for Hemoglobin A1c Screening
Authors: Norgeot Beau , Tesei Gino , Jankovic Ivana , Giampanis Stefanos , Shi Jingpu , Wang Dong , Kale Rajas
Published: February 2023

Undiagnosed diabetes and prediabetes affect almost one in three adults in the United States. Early detection of dysglycemia can prevent disease progression and associated morbidity and mortality. Current guidelines recommend broad screening but they are not consistently followed. Artificial intelligence (AI) methods can be effective for diabetes prediction, but it remains unclear whether even a highly accurate predictive model guarantees improved health outcomes. In this study of over 7 million at-risk patients in the US between 2014 and 2020 we evaluated the potential for AI to improve diabetes screening effectiveness on the basis of two metrics: the fraction of tests recommended to patients that will ultimately test normal (wastefulness), and the fraction of patients with dysglycemia not detected from an eligible population (miss rate). Our results revealed that deep learning can identify over twice the number of patients as current clinical practice using no additional screening resources. This method could be developed into a large-scale, cost-effective prioritized screening program, allowing for early-stage interventions to prevent diabetes progression, and associated adverse health outcomes.
EGCG ameliorates DSS-induced colitis potentially via suppressing GPR43-mediated Th1 polarization
Authors: Wu Miaomiao , Che Siyan , Wu Kunfu , Zhu Mingzhi , Peng Can , yin yulong , Yang Guan
Published: February 2023

Epigallocatechin gallate (EGCG) from green tea has efficacy in preventing progression and alleviating severity of inflammatory diseases, including colitis. However, the protective mechanisms exerted by EGEC are unclear. We hypothesize that reciprocal interactions between intestinal microbiota and immune cells contributes to this protection. Here, we showed that EGCG-alleviated colitis development was associated with suppressed Th1 cell polarization. Moreover, we showed that the mild phenotype observed in EGCG-treated mice correlates with increased SCFAs-producing bacteria enrichment, suggesting the involvement of intestinal microbiota in EGCG-mediated colitis protection. Through molecular docking and molecular dynamic simulation, we found an interaction of EGCG and GPR43, a critical SCFA receptor. Furthermore, EGCG-induced alleviation involved inhibition of Th1 cell differentiation through IκB/NFκB signal pathways. Importantly, EGCG treatment reduced Il12b, Il12rb, Stat4, and Ifng levels, and decreased IL12 levels in colitis mice. Thus, EGCG showed protective action in experimental colitis mice acting through EGCG/GPR43/NFκB/IL-12 pathway, which provides a novel strategy and target for UC prevention targeting immune microenvironment modulation as well as microbial remodeling.
Stress hyperglycemia predicts early neurological deterioration and poor outcomes in patients with single subcortical infarct
Authors: Liu Hongbing , Zhang Ke , Zong Ce , Yang Hongxun , Yao Ying , Li Shen , Wang Xin , Liu Kai , Song Bo , Xu Yuming , Gao Yuan
Published: February 2023

Aim:The goal of this study was to determine whether the stress hyperglycemia ratio (SHR) is associated with early neurological deterioration (END) and poor outcomes in patients with single subcortical infarct (SSI).Methods:This study prospectively enrolled patients with SSI admitted between 2015 and 2021. END was defined as an increase of ≥ 2 points in the National Institutes of Health Stroke Scale (NIHSS) or ≥ 1 point in the motor items of the NIHSS within seven days of hospital admission. The modified Rankin Scale (mRS) was used to evaluate patient prognosis. Good and poor outcomes were defined as mRS scores ≤ 2 and > 2, respectively. The relationships between SHR and risk of END as well as outcomes were analyzed using multivariate logistic regression models.Results:A total of 1049 patients with SSI and an average age of 59.49 years met the inclusion criteria for the analysis. The incidence of END markedly increased with increasing SHR. Multivariate logistic regression analysis showed that a higher SHR was independently associated with END (OR 4.04, 95% CI, 2.43-6.69,P< 0.001) and 3-month poor outcomes (OR 2.34, 95% CI, 1.44-3.82,P= 0.003). A receiver operating characteristic analysis of the SHR based on the area under the curve showed a diagnostic accuracy equal or greater than other well-known predictors.Conclusion:SHR is a reliable predictor of END and poor outcomes in patients with SSI.
Study of Electron-Hole Bi-Wire System Using Quantum Monte Carlo Method
Authors: Namawat Priya , Ashokan Vinod
Published: February 2023

In this work, the computational method of Variational Monte Carlo is used to study the ground state properties of electron-hole (e-h) bi-wire systems. We have calculated the pair correlation function and static structure factor of a coupled infinitely thin e-h wire system of electronic density (rs= 1) and inter-wire distance (d = 1). The numerical calculation is carried out using the many-body trial wave function of the Slater-Jastrow backflow type. It is observed that the inter-wire correlations become quite important in the case of the mass-symmetric electron-hole bi-wire system due to the coulomb attractive nature of the bi-wire system.
On the Well-Posedness of Two Driven-Damped Gross-Pitaevskii-Type Models for Exciton-Polariton Condensates
Authors: Moeller Jakob , Sierra Jesus
Published: February 2023

We study the well-posedness of two systems modeling the non-equilibrium dynamics of pumped decaying Bose-Einstein condensates. In particular, we present the local theory for rough initial data using the Fourier restricted norm method introduced by Bourgain. We extend the result globally for initial data in L2.
2020 MSC: 35Q55, 35Q40
The Development of a Preschool Mental Health System Quality Assessment using Principal Component Analysis and a Modified Delphi Procedure
Authors: Reaves Samantha , Hartley Samantha N. , Schumacher Rachel , Connors Elizabeth H. , Clarke Brandy , Hoover Sharon , Lever Nancy
Published: February 2023

Research Findings: One in 5 preschool-aged children (under age 5) have a serious mental health difficulty that can have lasting negative effects. Most children under age 5 (63%) attended preschool, day care centers, Head Start, or another prekindergarten program. This leaves early childhood programs well-positioned to support the wellbeing of our earliest learners if they could offer gold standard multi-tiered systems of support for mental health care. However, there is not currently a measure for preschool teams to self-assess and improve their school mental health quality. To address this gap, we adapted an existing measure of school mental health quality for K-12 schools to preschools. Measure development included initial modifications by a preschool quality workgroup, a modified Delphi procedure including 3 rounds of data collection, and a Principal Component Analysis. The resulting measure, the School Mental Health Quality Assessment – Preschool (SMHQA-PS) consists of 46 Likert-style items covering 6 domains of preschool mental health system. Practice and Policy: This measure provides an evidence-informed tool to assist preschool mental health teams in advancing the quality of mental health supports in preschools while creating consistent language for families, school teams, researchers, and policymakers to use across school mental health programs in Pre-K-12 schools.
Hybrid Architecture Based Intelligent Diagnosis Assistant for GP
Authors: Wang Ruibin , Kavisha	Jayathunge  , Page Rupert , Hailing	Li  , Jianjun	Zhang  , Yang Xiaosong
Published: February 2023

As the first point of contact for patients, General Practitioners (GPs) play a crucial role in the National Health Service (NHS). An accurate primary diagnosis from the GP can alleviate the burden on specialists and reduce the time needed to re-confirm the patient's condition, allowing for more efficient further examinations. However, GPs have broad but less specialized knowledge, which limits the accuracy of their diagnosis. Therefore, it is imperative to introduce an intelligent system to assist GPs in making decisions. This paper introduces two data augmentation methods, the Complaint Symptoms Integration Method and Symptom Dot Separating Method, to integrate essential information into the Integration dataset. Additionally, it proposes a hybrid architecture that fuses the features of words from different representation spaces. Experiments demonstrate that, compared to commonly used pre-trained attention-based models, our hybrid architecture delivers the best classification performance for four common neurological diseases on the enhanced Integration dataset. For example, the classification accuracy of the BERT+CNN hybrid architecture is 0.897, which is a 5.1% improvement over both BERT and CNN with 0.846. Finally, this paper develops an AI diagnosis assistant web application that leverages the superior performance of this architecture to help GPs complete primary diagnosis efficiently and accurately.
Fault logic circuit design of switching power supply based on soft reference circuit module
Authors: Zhang Ruping
Published: February 2023

The basic idea of the circuit fault diagnosis method based on fault logic is to establish a computer expert database system first, connect the computer to the GPIB interface card, and then connect each intelligent instrument through the GPIB standard bus. Through the connection of the tested object adapter and the tested object, a circuit fault expert diagnosis and test platform are formed. Based on the traditional fault simulation model, this paper improves the fault logic circuit of switching power supply, designs the system model of fault simulation, deals with the logic structure and circuit hierarchy respectively, and produces the final output through the logic gate circuit by comparing the results of the fault logic circuit and the fault-free logic circuit. The designed switching power supply fault logic circuit works in the switching state, which has the characteristics of low loss and high energy conversion efficiency. Through the simulation analysis, the output is connected to the comparator, which plays the role of the whole wave. The simulation results are in line with the parameter indicators. The functional test results of the chip show that the function of the module is basically normal, which has practical application value and good portability and can be used as a reference for similar electrical designs.
Geopolimer Beton Atıklarından Elde Edilen Agregaların Geopolimer Betonda Kullanılabilirliğinin Araştırılması
Authors: ERYILMAZ Kadriye , POLAT Rıza , TURHAN Derya , KARAGÖL Fatma
Published: February 2023

Çevresel bozulmalar, artan sera gazları, hammaddelerin bilinçsizce ve hızla tüketilmesi gibi sorunlar toplumları sürdürülebilir yeşil bina ve inşaat malzemeleri üretmeye zorlamaktadır. Sürdürülebilir kalkınma ve döngüsel ekonominin çevresel ve finansal faydaları büyük ölçüde atıkların yeniden kullanılması, geri dönüştürülmesi veya bertaraf edilmesine bağlıdır. Bu bağlamda geopolimer beton üstün mekanik ve durabilite özellikleri ve birçok atığı öncül olarak kullanma yetenekleri nedeniyle çevre dostu bir malzeme olarak son yıllarda ilgi görmüştür. Düşük karbon ayak izine sahip olması ve uçucu kül, öğütülmüş granül yüksek fırın cürufu gibi endüstriyel yan ürünlerin ve volkanik esaslı küllerin kullanılması, geopolimer betonun (GPC) geleneksel betona sürdürülebilir bir alternatif olmasını sağlar. Katı atık tesislerinde artan inşaat yıkım atıkları ve doğal kaynakların aşırı kullanımı ekolojik denge için endişe verici seviyeye ulaşmıştır. Bu nedenle beton atıkların geri dönüşümü; katı atık problemlerini çözmenin, ekolojik dengeyi sağlamanın ve doğal hammaddeleri korumanın en etkili yöntemlerinden biridir. Fakat literatürde; geleneksel beton için geri dönüşüm ve yeniden kullanım gibi yaşam sonu stratejileri geniş çapta araştırılmış olsa da bu tür stratejilerin geopolimer beton için uygulanabilirliği yeterli düzeyde araştırılmamıştır. Bu makale, geri dönüştürülmüş geopolimer agregaların fiziksel özelliklerini ve geri dönüştürülmüş agrega ile üretilen geopolimer betonun mekanik özelliklerini inceleyen araştırmaları sunmaktadır. Literatür araştırmaları sonucunda; aynı tane boyutundaki doğal agregalara göre geri dönüştürülmüş geopolimer agregaların su emme oranının yüksek, tane yoğunluğunun düşük, Los Angeles aşınma direncinin düşük, pH değerinin yüksek, potansiyel ASR reaktivitesinin düşük olduğu gözlemlenirken, geri dönüştürülmüş agrega ile üretilen geopolimer betonun mekanik özelliklerinin geleneksel betonun mekanik özelliklerinden daha düşük olduğu gözlemlenmiştir.
Kuru Fasulye Tohumlarının Çok Sınıflı Sınıflandırılması İçin Hibrit Bir Yaklaşım
Authors: BÜLBÜL Mehmet Akif
Published: February 2023

Sürdürülebilir tarımda, hangi toprak türünde hangi tür tohum yetiştirilmesi gerektiğine karar vermek büyük önem arz etmektedir. Dikilmesi hedeflenen kuru fasulye cinsinin belirlenmesi tecrübe, bilgi birikimi ve alanında uzman kişileri gerektiren maliyetli bir işlemdir. Kuru fasulyelerin doğru bir şekilde sınıflandırılabilmesi için geliştirilen karar destek sistemleri bu noktada büyük önem taşımaktadır. Bu çalışmada, kuru fasulye tohumlarının sınıflandırılmasında Yapay Sinir Ağı (YSA) ve Parçacık Sürü Optimizasyon (PSO) Algoritması kullanılarak hibrit bir model önerilmiştir. Önerilen hibrit model sayesinde YSA ağ yapısında bulunan hiper-parametreler optimize edilmiştir. Optimize işlemi sonucunda elde edilen hiper-parametreler ile kurulan YSA ağ yapısı kuru fasulyelerin çok sınıflı sınıflandırılmasında kullanılmıştır. Hibrit model ile elde edilen sonuçlar Karar Ağacı, K En Yakın Komşu Algoritması kullanılarak yapılan sınıflandırma sonuçları ile tartışmalı bir şekilde kıyaslanmıştır. Yapılan deneysel çalışmalar sonucunda hibrit model ile kuru fasulye tohumlarının sınıflandırılmasında %90 doğrulukla başarılı sonuçlar elde edilmiştir.
Forecasting of runoff in the lower Yellow River based on the CEEMDAN–ARIMA model
Authors: Zhang Minghui , Zhang Xianqi , Qiao Wenbao , Lu Yaohui , Chen Haiyang
Published: February 2023

Runoff is one of the important hydrological variables of rivers, and its accurate prediction can provide a reliable basis for water resources system characterization and efficient utilization. In this paper, based on the advantages that the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) model can effectively overcome modal mixing and white noise interference, and the Auto-Regressive Integrated Moving Average (ARIMA) model can effectively overcome gradient disappearance and other problems, the coupled CEEMDAN–ARIMA prediction model is established, and the CEEMDAN–ARIMA model is used in the runoff prediction of the Lijin hydrological station in the lower Yellow River. The results show that the coupled CEEMDAN–ARIMA model has an R2 of 0.9398 and a Nash efficiency coefficient (NSE) of 0.918, with a prediction accuracy of Grade A. This shows that the CEEMDAN–ARIMA model has the ability to handle complex information in hydrological factor simulations, providing a new method for non-linear, non-stationary runoff prediction that has broad application prospects.
Pytania o las jako medium pedagogiczne
Authors: Rykowski Kazimierz
Published: February 2023

Przedmiotem artykułu jest pedagogiczny potencjał lasu, konieczny do wydobycia przez osoby zawodowo zajmujące się nauczaniem i wychowaniem, i równie konieczny do włączenia w praktykę zawodową leśników i edukatorów leśnych. Wszyscy wkraczamy w czas kryzysu klimatycznego z jego trudnymi do przewidzenia konsekwencjami, z bagażem nierozwiązanych spraw i poszerzonym nagle polem niewiedzy. Tworzenie nowej wiedzy, nowych kompetencji i poszukiwania nowego paradygmatu kształcenia dla pedagogiki i leśnictwa wydaje się pilnie potrzebne. Chodzi o możliwie szybkie wykształcenie w dzisiejszych pokoleniach zobowiązań wobec lasu, a nie – jak to miało miejsce dotychczas – zobowiązań lasu wobec człowieka. Potrzebne jest do tego widzenie i rozumienie czwartego wymiaru lasu, poza euklidesowymi wymiarami ilościowymi. Wymiaru, który wywołuje doznania i przeżycia w sferze estetycznej (piękno), psychosomatycznej (odprężenie, relaks), moralnej (odpowiedzialność i szacunek dla życia) oraz pobudza świadomość tożsamości z naturą. Przesunięcie akcentów z pozycji „trzymającego władzę” nad przyrodą na mniej lukratywną pozycję współgospodarza, z wiedzącego wszystko i lepiej na poszukującego wiedzy relacyjnej, z łamiącego prawa przyrody na respektującego te prawa, wymaga podjęcia interdyscyplinarnego wysiłku pedagogicznego wśród dzieci, młodzieży i dorosłych.
The ability of children aged 6 and 9 years, respectively, to detect errors in a narrative based on incorrect information about evaporation in the water cycle
Authors: Jelinek Jan
Published: February 2023

Children begin to fully understand evaporation at the age of 11 years, but they already have some idea of this phenomenon in preschool age. The paper presents the results of a research exploring the understanding of evaporation by 6- and 9-year-old children. The research used the method of a narrative based on incorrect information in order to verify whether and how well children would discover the errors in that narrative and how they could explain the process of evaporation. The incorrect narrative method is inspired by the science fiction film genre, which uses false assumptions to prove something that is not true. According to the research, half of the children knew that evaporation accompanies the process of cloud formation, but only half of the children who knew that (one-fourth of the respondents) could detect an error in the narrative. The reason for that is believed to be children’s lack of critical thinking and limited structured knowledge of evaporation in the water cycle in nature.