bluuebunny/crossref_metadata_2025 huggingface dataset:
REKABET EDEN KURUMSAL MANTIKLAR VE ÖRGÜTLERİN KURUMSAL SOSYAL SORUMLULUKLARI ARASINDAKİ İLİŞKİDE PAYDAŞ ETKİLERİ
Authors: ARAS BEGER Gizem
Published: September 2022

Örgütler birbirinden farklı kurumsal düzenleri gerektiren çoklu mantıkların mevcut olduğu bir alanda faaliyetlerini gerçekleştirmekte ve bunları örgütsel uygulama-süreç ve çıktılarına yansıtmaktadırlar. Ancak bu mantık çokluğu, birbiri ile çelişebilen talepleri sebebi ile farklı örgütsel reçeteler sunmaktadır. Örgütsel sonuçlar üzerinde önemli etkileri göz önüne alındığında, bu mantıkların örgütlerde nasıl tezahür ettiği kritik önem taşımaktadır. Literatürde özellikle bu tarz etkilerin karmaşıklık düzeyi yüksek ve kurumsal sosyal sorumluluk (KSS) dinamiklerinin henüz tam olarak keşfedilemediği gelişmekte olan ülkelerde daha belirgin olduğu belirtilmektedir. Bu sebeple çalışmanın amacı, örgütlerin çeşitli kurumsal mantıkların etkisi altında ne tür KSS yönelimlerini hangi yollarla geliştirdiklerini keşfetmektir. Bu amaç doğrultusunda geliştirilen KSS tipolojisine dayalı bir araştırma modeli oluşturulmuştur. Modeli test etmek için gerçekleştirilen anket çalışması sonuçlarına göre; ticari mantığın daha çok şirketsel fayda, sosyal mantığın daha çok toplumsal faydaya götürdüğü ortaya konmuştur. Ancak her iki mantığın birlikte var olması durumuna ilişkin, paydaşların zıt kutuplar arasında aracılık ederek örgütlerin birleşik faydalar, yani hem şirketsel hem de toplumsal faydalar sağlayabilmelerini mümkün kıldığı tespit edilmiştir.
KAPALI DÖNGÜ TEDARİK ZİNCİRİ UYGULAMALARINI ETKİLEYEN FAKTÖRLERİN YORUMLAYICI YAPISAL MODELLEME VE MICMAC YÖNTEMLERİ İLE ANALİZİ
Authors: YILDIZ ÇANKAYA Sibel
Published: September 2022

Doğal kaynakların her geçen gün azalması, atık miktarının ve hammadde maliyetlerinin artması gibi nedenlerle çevre yönetimine son yıllarda artan bir şekilde önem verilmektedir. Belirtilen sorunların ele alınması için geri dönüşüm ve yeniden kullanım gibi ürün geri kazanım uygulamaları popüler hale gelmiştir. Bu durum ise işletmelerin kapalı döngü tedarik zinciri uygulamalarına yönelmelerine neden olmuştur. Kapalı döngü tedarik zinciri, farklı cins ve miktarlarda geri dönen ürünlerden maksimum değerin elde edilmesini sağlayacak sistemin tasarımını, işletimini ve kontrolünü ifade etmektedir. Bir anlamda kapalı döngü tedarik zinciri hem ileri hem de tersine tedarik zincirinin entegrasyonunu içermektedir. Bu yüzden bu kavramın başarısını etkileyen çok sayıda faktör bulunmaktadır. Kapalı döngü tedarik zincirinin daha iyi anlaşılabilmesi ve başarılı bir şekilde uygulanabilmesi için bu faktörler arasındaki ilişkilerin ortaya çıkarılması büyük önem taşımaktadır. Bu çalışmada, kapalı döngü tedarik zincirinin uygulanmasını etkileyen faktörlerin belirlenmesi, bu faktörlerin etkileme ve bağımlılık seviyelerine göre gruplandırılması ve faktörler arasındaki etkileşimlerin analiz edilmesi amaçlanmaktadır. Çalışmada literatür incelemesi ve uzmanlardan alınan geri bildirimler doğrultusunda öncelikle kapalı döngü tedarik zincirini etkileyen faktörler belirlenmiştir. Daha sonraki aşamada bu faktörler, Yorumlayıcı Yapısal Modelleme ve MICMAC temelli bir yaklaşım kullanılarak analiz edilmiştir. Yorumlayıcı Yapısal modelleme metodolojisi ile faktörler arasındaki karşılıklı ilişkiler tespit edilmiş ve MICMAC analizi kullanılarak ise listelenen faktörlerin kapalı döngü tedarik zinciri açısından önemi etkileme ve bağımlılık seviyelerine göre ortaya konulmuştur.
OECD ÜLKELERİNDE CİNSİYET EŞİTSİZLİĞİNİN GELİR DAĞILIMI ÜZERİNE ETKİSİ
Authors: ÇABAŞ Meral , TORUN Mustafa
Published: September 2022

Gelirin iktisadi aktörler arasında nasıl dağılacağı, bu dağılımın adil olup olmadığı tarihten günümüze iktisat biliminin çözüm aradığı konuların başında gelmektedir. Toplumların hem sosyolojik hem de iktisadi anlamda odağındaki bir diğer konu da Birleşmiş Milletler tarafından hem “Bin Yıl Kalkınma Hedefleri” hem de “Sürdürülebilir Kalkınma Amaçları” arasına alınan toplumsal cinsiyet eşitliğidir. Global olarak gelir eşitsizliği ve cinsiyet eşitsizliği ile mücadelede ortak çözüm arayışı ulusların gündemini oluşturmaktadır. Bu doğrultuda çalışma cinsiyet eşitsizliğinin gelir dağılımı üzerine etkilerini ampirik olarak irdelemeyi amaçlamaktadır. 2006-2020 yılları arası dönemde 28 OECD ülkesine ait veriler panel veri analizi yardımıyla test edilmiştir. Çalışmada ilk olarak uygulanacak Panel Yöntemlere karar verebilmek adına yatay kesit bağımlılığı ve heterojenite test edilmiştir.Yatay kesit bağımlılığına sahip heterojen verilere ikinci nesil birim kök testleri olan CADF ve CIPS birim kök testlerinin ardından Westerlund & Edgerton Panel Eşbütünleşme Testi uygulanmış ve uzun dönem eşbütünleşik değişkenlerin katsayı tahminleri FMOLS katsayı tahmincisi ile hem panel genelinde hem de ülke bazında belirlenmiştir. Modele dair kısa dönem analizi VECM Hata Düzeltme Testi ile yapılmış sonuç olarak kısa dönem ve uzun dönem analizlerinden elde edilen kalıntılara göre her iki dönemde de panel genelinde ele alınan tüm açıklayıcı değişkenler gelirin daha adil dağılmasına katkı sağlamaktadır. Son olarak değişkenler arasındaki nedensellik ilişkileri Dumitrescu & Hurlin Testiyle analiz edilmiş ve uzun dönemde cinsiyet eşitsizliğinden gelir dağılımına doğru tek taraflı kişibaşı gelir, eğitim harcamaları ve sosyal yardımlar ile gelir dağılımı arasında çift taraflı nedensellik ilişkisinin varlığı sonucuna ulaşılmıştır.
YEŞİL HİZMET İNOVASYONU: BANKACILIK SEKTÖRÜNDE KALİTATİF BİR ARAŞTIRMA
Authors: KIRBAŞLI Minire , AVUNDUK Zehra Binnur
Published: September 2022

Küresel ısınmayla birlikte ortaya çıkan iklim değişikliğinin dünyadaki doğal kaynakları tehdit etmesini önlemek amacıyla yeşil inovasyon son dönemde işletmeler için önemli bir araç haline gelmiştir. Çevresel kaynakların bilinçsiz tüketimi ve kirletilmesi hususu çeşitli tarafları özellikle ilgilendiren hızlı ekonomik ve endüstriyel gelişme tarafından tetiklenmektedir. Finansal kurumların da nicelik ve nitelik açısından ekonomik kalkınma ve büyüme üzerinde etkisi olması nedeniyle mevcut bankacılık sektörünün sürdürülebilir bir ortamın belirlenmesinde önemli bir role sahip olduğu açıkça ifade edilebilir.

Modern ekonomilerde, hizmet işletmeleri, yaratılan değerin çoğunu oluşturmaktadır ancak bununla birlikte inovasyon araştırmalarında daha çok imalat sektörüne yönelik ar-ge, fikri mülkiyet, çığır açan teknolojilerin icadı gibi konulara ağırlık verilmektedir. Ekonomik büyüme ve sürdürülebilirlik açısından önem arz eden hizmet işletmelerinin sürekli olarak yeni fikirler üretip uygulayarak nasıl geliştiği akademik yayınlarda genellikle gözden kaçırılmaktadır. Bu nedenle literatürde hizmet sektöründe inovasyon alanında boşluk bulunmaktadır. Özellikle yeşil hizmet inovasyonu ise yeni gelişen bir alandır. Dolayısıyla mevcut çalışma literatürdeki niş bir alana hitap ettiğinden yenilikçi ve özgün bir değere sahiptir.

Bu çalışmada, yeşil hizmet inovasyonu bankacılık sektöründe kalitatif araştırma yöntemiyle incelenmektedir. Garanti BBVA, dünya genelinde kurumsal firmaların sürdürülebilirlik performansının değerlendirildiği en prestijli platformlardan biri olan Dow Jones Sürdürülebilirlik Gelişmekte Olan Piyasalar Endeksi’ne yedi yıl üst üste Türkiye’de dâhil olan tek şirkettir. Bu nedenle çalışmada, vaka analizine örnek olarak, Garanti BBVA seçilmiştir. Araştırmada derinlemesine mülakat tekniği ve kamuya açık raporlardan yararlanılmıştır. Mevcut kalitatif çalışma, Türkiye’de yenilikçi yeşil bankacılık alanındaki bu araştırma boşluğunu doldurmak için bilgi birikimine katkıda bulunmakta ve buna ek olarak, sürdürülebilir kalkınma için yeşil yenilikçi bankacılık alanında gelecekteki araştırmaların önünü açmaktadır.
İŞLETMELERİN YEŞİL BİLİŞİM STRATEJİLERİNİN AHP YÖNTEMİ İLE ÖNCELİKLENDİRİLMESİ: BİLİŞİM İŞLETMELERİ ÖRNEĞİ
Authors: FİDANBOY Cemalettin Öcal
Published: September 2022

Yoğun teknoloji kullanan işletmelerin ve çalışanların çevreye verdikleri zararlar, bilişim teknolojilerindeki gelişmelerle birlikte inanılmaz boyutlara ulaşmıştır. Yeşil bilişim; işletmelerin kullandığı bilgi teknolojilerinin, bilişim kaynaklarının, tasarım ve üretim süreçlerinin, bilgisayar ve diğer teknolojik ürünlerin çevreye ve doğal kaynaklara en az zarar vermesini sağlayan bir teknoloji bilincidir. Bir diğer ifadeyle bu kavram; bilgisayar, yazıcı, monitör, depolama araçları gibi bilişim ürünlerinin çevreye en az tahribat yapacak biçimde daha etkili ve verimli olarak kullanılmasını ifade etmektedir. Dijital çağın işletmelerinin ve çalışanlarının çevreye verdikleri bu tip zararların azaltılabilmesi için, işletme içinde yeşil bilişim bilincinin yerleşmesine imkân sağlayacak yönetim stratejilerine ve bu stratejilerin örgüt politikaları çerçevesinde önceliklendirilerek sistematik bir şekilde yaygınlaştırılmasına ihtiyaç vardır. Özellikle yoğun teknoloji kullanan işletmelerin gelecek öngörülerini yeşil bilişim stratejileri doğrultusunda yapması artık bir zorunluluk haline gelmiş olup, işletmelerin bu stratejileri örgüt bünyesinde uygulaması ve yeşil kalkınmaya yönelik sürdürülebilir politikaları oluşturması gerekmektedir. Araştırmanın temel amacı; günümüz dünyasında bir zorunluluk haline gelen yeşil bilişim kavramına dikkat çekerek, işletmelerin yeşil bilişim stratejilerini nasıl geliştirebileceklerine ve hangi yöntemlerle önceliklendirebileceklerine yönelik örnek bir bakış açısı oluşturmaktır. Bu amaç doğrultusunda yeşil bilim kavramıyla ilgili araştırmalar incelenmiş ve işletmeler için en uygun yeşil bilişim stratejisini Analitik Hiyerarşi Prosesi (AHP) yöntemiyle belirlemeye yönelik bir model oluşturulmuştur. Modeldeki 4 ana kriter; yazılım, donanım, derleyiciler ve veri merkezi olarak belirlenmiştir. Ana kriterler ve her bir ana kriter içindeki alt kriterler temelinde önerilen 5 yönetim stratejisi, çalışan ve akademisyen görüşleriyle önceliklendirilerek, işletmeler için örnek oluşturabilecek bazı bulgulara ulaşılmıştır. Araştırma sonuçlarının ve ortaya koyulan önerilerin; işletmelerin yeşil bilişim stratejileri oluşturmasına, uygulamasına ve yeşil bilişim bilincine katkı sağlayabileceği düşünülmüştür.
The Driving Force of Urban Water Body Change in Chonburi Province, Thailand
Authors: Boonyanam Nararuk , Bejranonda Somskaow
Published: September 2022

The rapid urbanization from special economic zones (SEZs) in Asia poses a risk on water crisis. This paper identifies water body change trend and its driving force of change in Chonburi province; the most urbanized area in the Eastern Economic Corridor (EEC) of Thailand, in order to analyse the root cause of water shortage in the area. Land use maps from 2006 to 2019 were used to evaluate the changing trend in water bodies using land use transition matrix and land use dynamic degree. Panel data from 364 observations in the Chonburi sub-district was used to assess the driving forces of water body change using panel data analysis. The study reveals that the water bodies are experiencing an increasing trend at the annual rate of 10.72%. The most predominant factor of change is the type of governance, followed by agricultural land use, climate change and population respectively. The results highlight the increasing trend of human-made urban water bodies, the importance of the local authority and the need of international collaboration. Therefore, the government should consider to strengthen measures and policy relative to water body change in the area in order to induce significant impact on future urban water supply.
High Resolution Computed Tomography Chest Findings Among Post-COVID Patients
Authors: Rabia Shahid  , Muhammad Saleem Akhter  , Muhammad Waseem  , Rafiq Maryam
Published: September 2022

Background: HRCT chest has proven to be a helpful radiological modality to assess the course of disease. The main objective of the study was to analyze the pattern of lung involvement on HRCT chest among post-Covid patients.

Methodology: This cross-sectional study was carried out in the post Covid patients (30 days after discharge) from Nov 2020 to July 2021 in Sahiwal Teaching Hospital, Pakistan. Total 180 patients were selected through non probability consecutive sampling technique. Whole body Multi Slice CT scan 128 Slices by GE discovery was used to get HRCT of chest and to document various patterns and stages of pulmonary fibrosis in the post-COVID patients. The data was analyzed using the IBM SPSS 28.0.0 2021. Various radiological findings were expressed in percentages.

Results: A total of 77.8% patients had bilateral lung involvement, while 22.2% had unilateral lung involvement after one month of disease.

Ground Glass Haze was the commonest radiological pattern, found in 140 (77.8%) cases. Other radiological patterns were Air Space Opacification (47.2%), Septal Thickening (20%) and Fibrotic Bands (26.1%). Traction Bronchiectasis (10%) and Honey Combing (7.8%) were among the lesser ones reported. About 62% patients had mixed findings on HRCT Chest.  Diagnosis of Organizing Pneumonia was made in 166 (92.22%) patients while 14 (7.78%) patients were labelled as UIP (Usual Interstitial Pneumonia) with honey-combing in HRCT chest. The involvement of Right Lower Lobe was in 165 (91.7%) of cases. Right Middle Lobe remained fairly spared and was seen in 120 (66.7%) cases.

Conclusion: Patchy ground glass haze seen bilaterally in lower lung lobes are the commonest abnormalities in HRCT chest of post-COVID patients.

Keywords: Covid-19, Pneumonia, Radiology
A breakthrough in Alzheimer’s Disease
Authors: Hassan Taimoor
Published: September 2022

Alzheimer's disease is among the most prevalent types of dementia worldwide. Studying mice models, Australian researchers discovered one of the possible origins of Alzheimer's disease. The discovery has been termed a "breakthrough" by some. Scientists have gained a better grasp of why and how Alzheimer's disease arises by researching the blood-brain barrier. Their findings point to possible therapy and preventive strategies for the neurodegenerative disorder.
The Attitude of Physical Therapy Students Towards their Profession and Education in Punjab
Authors: Mahmood ,PT Dr.Tahir , Salam Abdul , Waseem Iqra , Khalid Aqsa , Maqsood Umer
Published: September 2022

Background: The quality of medical teaching can be refined based on the attitude of the students towards their clinical and teaching environment. The objective was to determine student attitudes towards their profession and education in Punjab.
Methodology: This cross-sectional survey was conducted from 20th July to December 2021 after taking ethical approval. The data was collected through an online google document from physical therapy undergraduates and post graduates from different institutes of Punjab. The outcome was measured using “physical therapy student attitudes questionnaire (PSAQ)”.It had four sections, section A is about the knowledge of the profession, section B includes beliefs about future, section C is about patient exposure in clinical trainings and section D is about level of satisfaction from the learnings. The data was encoded and analyzed using SPPS V.23. The descriptive statistics and mean+ standard deviations were used to present the scores. The independent sample t-test was used to find the difference in mean scores of males and females with p value ≤ 0.05 taken as significant.
Results: The current study comprised of 82(32.15%) males and 173(67.84%) females with mean age of 22.5+6.5 years.   The overall satisfaction level regarding knowledge, future beliefs, clinical exposure and learning was good with total mean± SD of 87.62+17.64 for males and 87.97+18.67 for females.  There was no statistically significant difference of satisfaction among male and female students with P >0.05
Conclusion: The student attitude was quite satisfactory regarding their choice of physical therapy profession, good future, patient exposure and learning skills. There was no statistically significant difference based on the gender.
Keywords: Education, Patients, Physical therapy, Satisfaction, Training.
Case for Sign Bilingualism in Irish Deaf Education
Authors: O'Connell Noel
Published: September 2022

Sign bilingual education, for the purpose of this article, is defined as a program at primary or secondary school where sign language is used as the first language of instruction with spoken/written language (e.g. English) as the second language (Knoors et al., 2014). International research on sign bilingual education has been on the rise over the last twenty years to the extent that researchers can no longer ignore its importance in an Irish context. The aim of this article is to establish whether or not a case should be made for sign bilingual education in Ireland. Based on a review of international literature, the article begins by discussing the historical development of sign bilingualism. It then discusses each of the key objectives for such a programme outlined in Marschark et al. (2014): (1) the promotion of first (sign) language acquisition to support literacy and numeracy skills in the second (spoken) language; (2) to use an accessible, visual language as a way to unlock the curriculum for deaf students; (3) to improve proficiency in the written and spoken language of the majority population; (4) to enhance deaf children’s social, emotional and positive identity development and their academic achievement. The study concludes with the argument that, although empirical evidence is limited, there are sufficient grounds for promoting a debate on sign bilingual education at policy level in Ireland.
The Effects of Classroom Intervention Strategies on Language Learner Motivation
Authors: Kelly Máirín
Published: September 2022

This article reports on a study that deals with learner motivation in adolescent language learning. Specifically, it focuses on the impact on motivation following the introduction of two intervention strategies into the adolescent classroom: delegation of material and task selection to the student and promotion of self-evaluation. The study involved 32 students learning Spanish as a foreign language in a secondary school in Ireland. One teacher from the school helped facilitate the study. The results indicate that motivation levels increased significantly among those students who participated in learning using the intervention strategies. The findings suggest that adolescent learners should actively participate in the learning process and would gain from the implementation of these or similar intervention strategies in the classroom context.
“Oh My God, You Look Gorgeous”. Polite but Inappropriate? A Gendered Exploration of Compliment Perceptions Among Young Irish Adults
Authors: Devlin Anne Marie , Marnane Sarah
Published: September 2022

Set against the backdrop of the #metoo movement which has positioned inter-gender communication as a “locus of struggle” (Watts, 2003, p. 21) with respect to what constitutes appropriate means of communication, the current study aims to shed light on how young Irish adult females and males aged 18-25 perceive gendered compliments in terms of politeness and appropriateness. A questionnaire was developed using 24 compliments from a corpus of compliments generated from Irish participants of the same age (Marnane, 2020). Of the compliments presented, half originated from females and other half from males and they were evenly distributed between appearance and performance compliments. The participants were blinded to the gender of the complimenters, and although the situations were provided, it was not explicitly stated which compliments were appearance based and which were performance based. Participants were subsequently asked to rate the compliments in terms of politeness and appropriateness. A total of 150 replies were received which included 60 self-identifying males and 90 self-identifying females. The study finds that not only do Irish males and females perceive compliments differently but that these differences relate to compliment type and the gender of the person receiving the compliment. It is hypothesised that the differences between Irish males and females’ compliment perceptions are due to gendered enactment of compliments as well as changing cultural norms.
The Factors Motivating Parents to Choose Irish Immersion Education for their Child with Special Educational Needs
Authors: Nic Aindriú Sinéad , Ó Duibhir Pádraig , Travers Joe
Published: September 2022

A dearth of research exists internationally as to why parents choose immersion education for their child with special educational needs (SEN). The literature available on why parents choose immersion education for the child without SEN states that bilingualism, the parent’s own personal experiences, social networks, and their love of languages are motivating factors. Research on the factors that influence how parents select any school for their child with SEN states that an inclusive school environment and access to additional services are the primary motivators. Through semi-structured interviews, this study investigated the reasons why parents of children with autism spectrum disorder (N=3) and specific speech and language disorder (N=2) chose to send their child to an Irish immersion primary school when they had the option of educating their child through the majority language of the community, English. This article presents a discussion on the parents’ motivations to send their child to an Irish immersion school in terms of them wanting their child to attend the same school as their other children, their love for the Irish language and culture, and the positive inclusive school culture of an Irish immersion school. The findings of this research will enable Irish immersion schools to identify the needs of the parents and families and further develop as inclusive learning environments.
The Corpus of Irish English Speech
Authors: Nicora Francesca
Published: September 2022

The past years have witnessed the collection of various corpora for the study of Irish English (IE). Most have been developed and driven by diverse research foci with a specific aim in mind, however, at present data sources consist of unavailable and/or outdated audio files of English spoken primarily in Dublin and Belfast. Additionally, a very limited number of investigations on the prosodic features of IE varieties have been conducted to date. As a result, a comprehensive overview of IE prosodic diversity is still missing and existing speech corpora do not allow for the analysis of intonation patterns, which requires more controlled, purpose-built data sets. A prosodic corpus devoted to the analysis of IE varieties needs to be incorporated into the research agenda. This contribution presents the corpus of Irish English Speech (IES) with the following objectives: to collect recordings of spoken IE across present-day Ireland under a unified protocol in order to guarantee comparisons among different datasets; to obtain an initial phonological inventory of each variety examined; to compare the phonological systems of diverse IE varieties; and to provide researchers with accessible and open data sources. The core of the corpus has been gathered in accordance with the guidelines of the Interactive Atlas of Romance Intonation project (Prieto, Borràs-Comes & Roseano, 2011-2014) via a questionnaire based on the Discourse Completion Task, which was translated and readapted for Irish English speakers, and a Map Dialogue Task designed to obtain spontaneous speech productions. This method has yielded the collection of a wide range of intonation patterns concerning different types of context-specific utterances, such as statements, questions, imperatives and vocatives. After an overview of the segmental phonology of IE, previous studies on the prosodic features of IE varieties and the speech corpora of IE will be examined with the purpose of identifying the gaps in existing literature, which will then be followed by a detailed outline of the development of the corpus of IES. This contribution will provide an illustrative example for fully exploiting the potential of the IES database and call for further in-depth investigations on IE prosody.
PERBANDINGAN KADAR VITAMIN D DAN ALBUMIN PADA IBU DENGAN BAYI BBLR DAN IBU DENGAN BAYI BERAT LAHIR NORMAL
Authors: Siti Fasihah Ifa , Ismail Mirza , Andrian Rusman Andri , Permana Mohamad Dani
Published: September 2022

Bayi berat badan lahir rendah (BBLR) memiliki angka mortalitas dan morbiditas yang tinggi. Menurut data WHO, sekitar 14,6% dari 20,5 juta bayi yang dilahirkan pada tahun 2015 mengalami BBLR. Kejadian BBLR ini dua kali lebih tinggi terjadi di negara berkembang. Tumbuh kembang janin membutuhkan vitamin D sebagai unsur nutrisi mikro dan albumin atau protein sebagai unsur nutrisi makro untuk pertumbuhan sel pada janin. Penelitian ini merupakan penelitian analitik komparatif dengan desain potong lintang yang bertujuan untuk menilai perbandingan kadar vitamin D dan albumin pada ibu dengan bayi BBLR dan ibu dengan bayi berat lahir normal. Subjek pada penelitian ini berjumlah 10 orang pada kelompok ibu dengan bayi BBLR dan 10 orang pada ibu dengan bayi berat lahir normal. Sampel diambil dengan metode consecutive sampling dan dilakukan di RS Dustira Cimahi pada tahun 2020. Pemeriksaan vitamin D dilakukan dengan metode CMIA dan pemeriksaan albumin dilakukan dengan metode bromocresol green. Data diolah dengan analisis univariat dan bivariat menggunakan uji Mann Whitney dengan uji normalitas Saphiro Wilk. Hasil penelitian didapatkan kadar vitamin D ibu dengan bayi berat lahir normal yaitu 16,12±4,899 ng/mL. Sedangkan ibu dengan bayi BBLR memiliki kadar vitamin D lebih rendah yaitu 9,96 ±3,944 ng/mL (nilai p= 0,005). Kadar albumin ibu dengan bayi berat lahir normal sebesar 4,400±0,6128 g/dL, sedangkan ibu dengan bayi BBLR memiliki kadar albumin lebih rendah yaitu sebesar 3,410±0,8279 g/dL (nilai p = 0,007). Kesimpulannya kadar vitamin D dan kadar albumin pada ibu dengan bayi BBLR lebih rendah dibandingkan dengan bayi berat lahir normal.
DocXClassifier: Towards an Interpretable Deep Convolutional Neural Network for Document Image Classification
Authors: Saifullah Saifullah , Agne Stefan , Dengel Andreas , Ahmed Sheraz
Published: September 2022

 Convolutional Neural Networks (ConvNets) have been thoroughly researched for document image classification and are known for their exceptional performance in unimodal image-based document classification. Recently, however, there has been a sudden shift in the field towards multimodal approaches that simultaneously learn from the visual and textual features of the documents. While this has led to significant advances in the field, it has also led to a waning interest in improving pure ConvNets-based approaches. This is not desirable, as many of the multimodal approaches still use ConvNets as their visual backbone, and thus improving ConvNets is essential to improving these approaches. In this paper, we present DocXClassifier, a ConvNet-based approach that, using state-of-the-art model design patterns together with modern data augmentation and training strategies, not only achieves significant performance improvements in image-based document classification, but also outperforms some of the recently proposed multimodal approaches. Moreover, DocXClassifier is capable of generating transformer-like attention maps, which makes it inherently interpretable, a property not found in previous image-based classification models. Our approach achieves a new peak performance in image-based classification on two popular document datasets, namely RVL-CDIP and Tobacco3482, with a top-1 classification accuracy of 94.17% and 95.57% on the two datasets, respectively. Moreover, it sets a new record for the highest image-based classification accuracy of 90.14% on Tobacco3482 without transfer learning from RVL-CDIP. Finally, our proposed model may serve as a powerful visual backbone for future multimodal approaches, by providing much richer visual features than existing counterparts. 
Miniature Underwater Glider Hydrodynamic Performance
Authors: Elkolali Moustafa , Al-Tawil Ahmed , alcocer alex
Published: September 2022

Defining the hydrodynamic properties of an underwater glider is a critical operation that should be properly optimized since it has a great impact on the vehicle’s efficiency. It also defines the allocated budget for the Variable Buoyancy System (VBS) of the glider. This paper describes the work performed to optimize the hydrodynamic forces, represented in the lift and drag forces of the vehicle, as well as optimizing the angle of attack that the vehicle should perform its cycles at. The approach used in the analysis is Computational Fluid Dynamics (CFD) by importing the 3D model of the glider to Ansys software. The best angle of attack is chosen based on the highest efficiency characterized by the lift-to-drag ratio. The polar charts of the vehicle are also drawn based on the vertical and horizontal components of the vehicle’s speed. The results are implemented in the calculations of the VBS of the vehicle, and the definitions of the general operation states of the vehicle.
Shanakht-Net: Person Re-identification using Inertial Sensors data generated by Smart-wearables from Daily Activities
Authors: Imran Hamza Ali
Published: September 2022

An important component of an automated surveillance environment is person re-identification. The problem is often addressed using data received from vision sensors using appearance-based features, which are heavily reliant on visual cues such as colour, texture, and so on, limiting the reliability of re-identification of an individual. Much research has been performed to solve the problem of re-identification utilising human gait using inertial measurement units (IMU) data, which is thought to be unique and offer a distinct biometric signature that is especially ideal for re-ID in uncontrolled conditions. The locomotive activity of walking was the primary emphasis. The current study utilised not only locomotive activities but also non-locomotive activities of daily living. The data was obtained from the WISDM lab. The data is collected while engaging in six distinct everyday activities. The dataset was originally gathered for the purpose of Human Activity Recognition. Nonetheless, each person is given a unique ID. This information was utilised to re-identify the individual. The dataset consists of data of 36 volunteers. Shanakht-Net, a novel convolutional neural network, is introduced. The F1-score obtained is 93\%. Precision, recall, and accuracy are assessed and reported as well.
Robust Sampled-data H∞ Control Of Flapping Wing Micro Aerial Vehicles With Parameter Uncertainties and Actuator Saturation
Authors: Guo Qingcheng , Zhang Weiping , Deng Zhicheng , Mou Jiawang , Wu Chaofeng
Published: September 2022

Robust control is essential to the flapping wing micro aerial vehicle (FWMAV) due to model uncertainties, environmental or self changes during flight, such as the change of drag coefficient caused by airflow and the asymmetric effect caused by wing damage. This paper proposes a robust H∞ controller synthesis scheme for parameter-varying FWMAV systems with sampling measurement and control input saturation. A linear parameter varying (LPV) model is established to characterize the nonlinear FWMAV model with uncertainties. We introduce an input delay approach to transform the sampled-data system into a continuous system with time delay. A nonconvex optimization with bilinear matrix inequalities (BMI) is established to synthesize the proposed robust output-feedback controller with the PID structure, ensuring the H∞ performance of the closed loop. A Lyapunov function is proposed to ensure the asymptotic stability of the closed loop system. The BMI problem is restricted furthermore and transformed to a convex optimization problem with linear matrix inequalities (LMI) constraints, making the method computationally practical. The numerical simulations show that the proposed controller possesses superior performance and strong robustness in the FWMAV compared with four other controllers.
Cybersecurity and Privacy Aspects of Smart Contracts in the Energy Domain
Authors: Sebastian Cardenas David , Gourisetti Sri Nikhil Gupta , Saha Shammya , Khan Komal , Tillman Leonard C. , Cali Umit , Hughes Tamara
Published: September 2022

Smart contracts (SCs) are a set of logical procedures that can be run by individual peers participating within a Distributed Ledger Technology (DLT) network. By design, smart contracts inherit many of the benefits of DLT, including its immutability, scalability and  security properties. Nevertheless, they may introduce additional attack vectors, which can lead to cybersecurity explorations that could jeopardize the end-application's ability to operate as intended or result in data leaks, and privacy violations. In this work an exploration of known problems, and possible attack scenarios will be presented. This is followed by a set of proposed best practices and mitigation strategies that are intended to assist developers, researchers and other relevant stakeholders to develop secure SC implementations. 
Optimizing Computational and Communication Resources for MEC Network Empowered UAV-RIS Communications
Authors: Mahmood Asad , Vu Thang , Khan Wali Ullah , Chatzinotas Symeon , Ottersten Bjorn
Published: September 2022

With the technological evolution and new applications, user equipment (UEs) has become a vital part of our lives. However, limited computational capabilities and finite battery life bottleneck the performance of computationally demanding applications. A practical solution to enhance the quality of experience (QoE) is to offload the extensive computation to the mobile edge cloud (MEC). Moreover, the network's performance can be further improved by deploying an unmanned aerial vehicle (UAV) integrated with intelligent reflective surfaces (IRS): an effective alternative to massive antenna systems to enhance the signal quality and suppress interference. In this work, the MEC network architecture is assisted by UAV-IRS to provide computational services to the UEs. To do so, a cost minimization problem in terms of computing time and hovering energy consumption is formulated.

Furthermore, to achieve an efficient solution to a formulated challenging problem, the original optimization problem is decoupled into sub-problems using the block-coordinate decent method. Moreover, numerical results are compared to baseline schemes to determine the effectiveness of the proposed scheme. Simulation results demonstrate that the optimal allocation of local computational resources results in minimizing tasks' computational time and hovering energy consumption.
Correction for mechanical inaccuracies in a scanning Talbot-Lau interferometer
Authors: Noichl Wolfgang , De Marco Fabio , Willer Konstantin , Urban Theresa , Frank Manuela , Schick Rafael , Gleich Bernhard , Hehn Lorenz , Gustschin Alex , Meyer Pascal , Koehler Thomas , Maack Hanns-Ingo , Engel Klaus-Jürgen , Lundt Bernd , Renger Bernhard , Fingerle Alexander , Pfeiffer Daniela , Rummeny Ernst , Herzen Julia , Pfeiffer Franz
Published: September 2022

Grating-based X-ray phase-contrast and in particular dark-field radiography are promising new imaging modalities for medical applications. Currently, the potential advantage of dark-field imaging in early-stage diagnosis of pulmonary diseases in humans is being investigated. These studies make use of a comparatively large scanning interferometer at short acquisition times, which comes at the expense of a significantly reduced mechanical stability as compared to tabletop laboratory setups. Vibrations create random fluctuations of the grating alignment, causing artifacts in the resulting images. Here, we describe a novel maximum likelihood method for estimating this motion, thereby preventing these artifacts. It is tailored to scanning setups and does not require any sample-free areas. Unlike any previously described method, it accounts for motion in between as well as during exposures.
Training Demand Prediction Models by Decision Error for Two-Stage Lot-Sizing Problems
Authors: Gong Hailei , Zhang Yanzi , Zhang Zhi-Hai
Published: September 2022

Demand prediction to support appropriate production decisions is being actively studied. Many prediction models are designed to minimize the prediction error, which is measured by determining the difference between the predicted and ground-truth demand. However, these models ignore the effect of the prediction error on downstream production decisions. This prompts our study, which focuses on demand prediction models for two-stage uncapacitated lot-sizing problems. In this paper, we present a linear prediction model that minimizes the decision error, which is measured by the optimization objective of lotsizing problems. Our model mitigates the impact of prediction errors by leveraging the structure of the lot-sizing problems. We subsequently extend the prediction model to a distributionally robust version. A cutting-plane method is proposed to solve the resulting model under the L_{1} and  L_{infinity} norms. The decision errors are used as loss functions to construct decision treeand neural network-based prediction models, respectively. The corresponding training methods are proposed as well. Numerical experiments demonstrate that the proposed prediction models are significantly superior to traditional prediction methods for small samples and high-dimensional data. In addition, the performance of the robust model is highly tolerant to model misspecification and imperfect data.
TrCoin: A Blockchain-based Robust Trust Management System for VANET
Authors: Meamari Ehsan , Shen Chien-chung
Published: September 2022

In VANET, although data sharing among vehicles improves safety and trafﬁc, malicious data providers might share false information to compromise its effectiveness. One typical solution to address this issue is to manage the trustworthiness of data providers by using feedback received from data users quantifying the veracity of the shared data. However, data users might behave maliciously and share untruthful feedback. This paper introduces TrCoin, a blockchain-based trust management system, for VANET which tackles both fake data and untruthful feedback. TrCoin uses an honesty value calculation algorithm to distinguish honest from malicious data users and ﬁlters out the feedback shared by the malicious data users. TrCoin then runs a trust value calculation algorithm to compute the trust values of data providers based on the truthful feedback shared by honest data users. Extensive simulations are conducted to demonstrate the effectiveness of TrCoin under various attack scenarios with false data injection and untruthful feedback.
Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance
Authors: Sun Qingqiang , Zhang Wenjie , Lin Xuemin
Published: September 2022

Unsupervised contrastive learning has recently become increasingly popular due to its amazing performance without the need for costly annotations. However, indiscriminate sampling of negative pairs is accompanied by the uniformity-tolerance dilemma, which is especially serious in node-level graph contrastive learning due to the smoothing property of graph convolutional operators. Previous negative mining strategies that either overly emphasize hard negatives or rely on precise distribution estimation can make minor improvements or even degrade the performance in such a case. In this paper, we investigate the role of hard negatives in the uniformity-tolerance dilemma and propose a novel contrastive objective with a progressive hard negative masking scheme. The proposed objective, as an asymptotically-tightened lower bound of mutual information, is theoretically and empirically demonstrated to be capable of allowing higher local tolerance and stronger contrastive effects, thus leading to higher-quality embedding distributions and considerable performance improvement in downstream node classification tasks.
ANALISIS RETURN SAHAM PERUSAHAAN PERBANKAN DI BURSA EFEK INDONESIA
Authors: Nurmawan Frizki , Ichsanuddin Nur Dhani
Published: September 2022

The capital market has a role as a means of investing for the public to gain a return. The return expected by investors from investing can be in the form of capital gains/losses or dividends. In the 2015 - 2019 period, although in 2019 the return  increased year on year (YoY), it experienced a decline in 2017 – 2018. This uncertainty in the value of stock returns is not in line with the expectations of investors who want their stock returns to continue to move up. The purpose of this study was to determine whether Earning Per Share (EPS), Operating Costs of Operating Income (BOPO), Loan to Deposit Ratio (LDR) and Non Performing Loans (NPL) can contribute to the Stock Return of Banking Sector Companies listed on the Stock Exchange. Indonesia. The sample in this study is banking companies that have been listed on the Indonesia Stock Exchange for the 2015-2019 period using quantitative data types. The data analysis technique in this study used Multiple Regression Analysis, Normality Test, Classical Assumption Test and Hypothesis Testing. The results indicate that: (1) EPS can contribute to Stock Return, (2) BOPO can contribute to Stock Return, (3) LDR can contribute to Stock Return, while (4) NPL cannot contribute to Stock Return.
Therapeutic Bronchoscopy in Benign Central Airway Obstruction
Authors: Elhidsi Mia , Nugroho Budi Prasetio , Aniwidyaningsih Wahju
Published: September 2022

Benign central airway obstruction (BCAO) may occur in patients with post-intubation, tracheostomy, tuberculosis and non-tuberculosis infections, tracheal wall abnormalities, endobronchial benign tumors, vascular abnormalities, benign thyroid tumors and external mechanical compression. The management of BCAO is based on the underlying disease and requires multidisciplinary joint decisions from interventional pulmonology, thoracic surgery, radiology and anesthesia. Therapeutic bronchoscopy for the management of BCAO emergencies includes balloon dilation, stents and lasers.
Combined Upper Limb Exercise and Creatine Monohydrate Supplementation Improved Musculoskeletal Function in NSCLC Patients
Authors: Addinul Huda Muhammad , Setijadi Ana Rima , Reviono Reviono , Raharjo Farih , Sutanto Yusup Subagio
Published: September 2022

Background: Lung cancer is a chronic respiratory disease that causes muscle dysfunction. Giving creatine monohydrate supplementation combined with exercise has efficacy in increasing lean body mass (LBM), muscle strength, and physical function. This study aims to analyze the effect of a combination of creatine monohydrate supplementation and upper limb exercise on skeletal muscle dysfunction in NSCLC patients.Methods: A quasi-experimental study with a pretest-posttest study on NSCLC patients given epidermal growth factor receptor (EGFR) – tyrosine kinase inhibitors (TKIs) from outpatient at RSUD Dr. Moewardi Surakarta in September - October 2021. The combination group of creatine monohydrate supplementation with upper limb exercise (n=15), the group with creatine monohydrate supplementation only (n=16), and the control group (n=15). Lean body mass in kilograms and percentages, 6-minute walk test (6MWT), and quality of life were assessed after 8 weeks of treatment.Results: The increase in LBM in the combination group was 4.22±1.81kg and 6.38±2.48% (P=0.0001). The combination groups have a greater increase in the 6MWT was 104±20.07 meters. The increase in quality of life in the combined creatine monohydrate supplementation group with upper limb exercise was 20.80±10.75. Changes in the value of LBM, 6MWT, and quality of life (QoL) in the creatine monohydrate supplementation combined with upper limb exercise were significantly different compared to the creatine monohydrate supplementation only group and the control groups.Conclusion: There is a greater effect of giving a combination of creatine monohydrate supplementation and upper limb exercise on LBM, 6MWT, and QoL in NSCLC patients.
Multicultural Ability in Dental English Impressions of Hypermedia Email: A Specific Educational Paradigm
Authors: Asgari Arani Jafar
Published: September 2022

Given the noteworthy connection between special English education acuities and grade point average (GPA), as a directory of educational success, and settlement, it is essential to support the students’   English education talents. Two-way  ANCOVA  was  engaged  to  evaluate  the  knowledge efficiency  of  the informal  AI  syllabus with dissimilar learning method (i.e., the series of perform schemes and the set of empirical learning) and masculinity. A cross-sectional appraisal was operated through online review and fractional slightest systems was applied in evaluating the records. Universal English for Dental Purposes (EDP) is educated from the opinion of actual conditions and it implies that education English is absorbed on a specific texts and particular terminology. But what is more significant education EDP terminology trusts on emerging statement services, difficulty-resolving, and choice production (Milosavljevic et al., 2015). The investigation recommends that scholars are of the opinion that more communication is continued through e-mail than might have been possible in communication interaction and more, that the English knowledge helps as valuable framework for more acquiring. On the foundation of the contributors' support and reaction, the probable educational worth of an e-mail may converse action in EDP program is undisputable.

 The placement-plan reaction provides durable indication of the possible educational profits of the e-mail scheme. Academic communication through e-mail replace to provide a real method to connect the opening between teaching EDP happenings and the energetic firm-changing education setting.
PENGARUH MINAT BELAJAR SISWA PADA PELAJARAN FISIKA DI ERA PANDEMI
Authors: Arni Kurnia Julianti , Hirjan Hirjan , Maison Maison , Kurniawan Dwi Agus
Published: September 2022

Penelitian memiliki tujuan untuk melihat terdapat atau tidaknya pengaruh minat belajar siswa pada pelajaran fisika di era pandemi kelas XI IPA 3 SMA Negeri 1 Pringgarata. Jenis penelitian ini adalah penelitian dengan menggunakan pendekatan metode campuran (mixed method) dengan teknik pengambilan sampling menggunakan teknik pengisian angket. Subjek penelitian sebanyak 23 siswa kelas XI IPA 3 SMA Negeri 1 Pringgarata. Hasil penelitian berdasarkan data kuantitatif yang di analisis menggunakan teknik analisis statistic regresi dengan melakukan uji normalitas dan uji reliabilitas diperoleh nilai r hitung sebesar 0,863. Hal ini berarti bahwa terdapat pengaruh minat belajar siswa pada pelajaran fisika di era pandemi kelas XI IPA 3 SMA Negeri 1 Pringgarata.
Pembelajaran dengan Pendekatan Saintifik Berbasis Masalah untuk Menumbuhkan Motivasi Belajar Mahasiswa
Authors: Kamil Firmanilah , Harahap Saima Putrini R , Kurnila Nely
Published: September 2022

Peserta didik merupakan pelaksana dari proses pembelajaran yang memiliki beberapa faktor pendukung bagi ketercapaian tujuan pembelajaran. Faktor yang berasal dari peserta didik adalah motivasi, daya intelegensi, dan konsentrasi. Dari ketiga faktor tersebut motivasi seringkali menjadi aspek yang paling diabaikan dari strategi pembelajaran. Pembelajaran dengan pendekatan saintifik berbasis masalah dirasa mampu menumbuhkan motivasi belajar. Pendekatan saintifik (scientific approach) adalah salah satu model pembelajaran yang dalam prosesnya memuat kaidah-kaidah keilmuan, mulai dari pengumpulan data dengan observasi, menanya, melakukan eksperimen, mengolah informasi atau data, hingga mengomunikasikan dengan tujuan memberikan ruang pada peserta didik secara luas untuk melakukan eksplorasi dan elaborasi materi pembelajaran, serta mampu mengaktualisasikan kemampuan melalui kegiatan pembelajaran yang telah dirancang oleh pendidik.  Artikel ini berisi uraian kegiatan pembelajaran pada mahasiswa dengan tujuan memberikan pemaparan mengenai tahapan pendekatan saintifik berbasis masalah dalam menumbuhkan motivasi belajar mahasiswa. Pembelajaran Mekanika Tanah dengan Pendekatan Saintifik Berbasis Masalah dapat dilakukan dengan dan tanpa kegiatan praktikum. Meski tanpa praktikum, tahapan yang dilakukan tetap mengacu pada lima tahapan dasar yakni mengamati, menanya, mengumpulkan informasi, menalar, dan mengkomunikasi. Kegiatan pemberian masalah dapat dilakukan pada tahap mengamati, menggali informasi, atau pada kegiatan diskusi tambahan setelah tahap mengkomunikasi.