bluuebunny/crossref_metadata_2025_split huggingface dataset:
İdeal Okul Yöneticisi Ölçeğinin Geliştirilmesi
Authors: OYNAR Görkem , ŞAHİN İdris 
Published: May 2023

Bu çalışmanın amacı, öğretmen algılarına göre geçerli ve güvenilir bir ölçme aracı olarak "İdeal Okul Yöneticisi Ölçeği"nin geliştirilmesidir. Bu bağlamda önce ilgili literatür taraması yapılarak madde havuzu oluşturulmuştur. Oluşturulan maddeler akademisyen ve öğretmenlerden alınan görüşler doğrultusunda yeniden düzenlenmiştir. 91 maddelik taslak ölçek ile pilot uygulama yapılmıştır. Açımlayıcı ve doğrulayıcı faktör analizlerinde farklı katılımcı gruplardan veri toplanmıştır. Açımlayıcı faktör analizinde 2021-2022 öğretim yılında Manisa ili Akhisar ilçesinde ilköğretim ve ortaöğretim kademesinde çalışan 302 öğretmenden, doğrulayıcı faktör analizinde ise 261 öğretmenden veri toplanmıştır. Tüm geçerlik ve güvenirlik çalışmalarından sonra ölçeğin üç faktörlü yapıda 39 maddeden oluştuğu gözlenmiştir. Doğrulayıcı faktör analizinden alınan veriler ölçeğin model veri uyumunun kabul edilebilir seviyede olduğunu göstermektedir. Geçerlik ve güvenirlik çalışmalarında elde edilen bulgular ışığında ölçeğin öğretmenlerin ideal okul yöneticisine ilişkin algılarının belirlenmesinde kullanılabilecek geçerli, güvenilir bir ölçme aracı olduğu söylenebilir.
Anahtar Kelimeler: İdeal okul yöneticisi, ideal okul yöneticisi ölçeği, başarılı okul müdürü, ölçek geliştirme.
Derin kuyu pompalarında kritik dalma derinliğinin boyutsuz büyüklükler ile ilişkisi
Authors: ORHAN Nuri 
Published: May 2023

Bu çalışmada, derin kuyu pompalarının kritik dalma derinliğinin belirlenmesinde boyutsuz büyüklükler ile ilişkilendirilmesi yapılmıştır. Genellikle kritik dalma derinliği belirli bir çapa sahip su girişlerinde ve santrifüj pompalarda yapılmıştır. Farklı anma çapına sahip iki adet milli pompa için üç farklı su giriş ağzı modelleri oluşturulması, kesit alanına sahip su giriş ağızları çap ile ilişkilendirilmesi ve kritik dalma derinliğinin boyutsuz büyüklükler ile ilişkilendirilmesi bu çalışmanın özgünlüğünü oluşturdu.
Pompaların kritik dalma derinliği vakum ölçüm yöntemine göre belirlendi. Her bir modelin değişik debi değerlerindeki kritik dalma derinliği seviyesi, diğer araştırmacıların Froude sayısına bağlı dalma derinliği eşitlikleri ile karşılaştırıldı. Pompaların kritik dalma derinliklerinin belirlenmesinde bu çalışmada geliştirilen eşitliğin kullanılması pompaların güvenilir (vorteksiz) bölgede çalışmasını sağlayacaktır. Vortekslerin oluşum derinliğine ve tipine fiziksel modellerin etkili olduğu ortaya çıktı. P1 pompasının fiziksel modelleri için Fcr (kritik froude sayısı) ≤1,40, P2 pompası için ise Fcr≤1,44 olması gerektiği bulundu. Bu değerler pompaların kuyuya yerleştirme yüksekliğinin belirlenmesinde kullanılabilir. Pompaların su giriş alanlarının artması kritik Weber sayısı ile Reynolds sayısını düşürdü. Her iki pompa içinde vorteks oluşum derinliği bakımından orjinal fiziksel modellerinin (D2) kullanılması uygun olacaktır. Sonuç olarak boyutsuz büyüklükler derin kuyu pompalarının kritik dalma derinliklerinin belirlenmesinde kullanılabilir.
Dinámica interinstitucional para una tecnología apropiada en el norte argentino
Authors: CAMPRUBI GERMAN , Veroli César , Comparín Julio , Basterra José , Larrea Marcelo , García Carlos 
Published: May 2023

El objetivo de este artículo es presentar una dinámica interactiva entre actores organizacionales heterogéneos para resolver la necesidad de mecanización de la remoción de malezas en el norte argentino.
La estrategia metodológica aplicada fue el estudio de un caso con una visión constructivista de la tecnología y específicamente con los enfoques de las Tecnologías Apropiadas (TA) y el modelo de la Cuádruple Hélice. Los conocimientos codificados de la ingeniería fueron una condición necesaria pero insuficiente para la fabricación de una máquina en un período de tres años.
El principal aporte consiste en presentar un producto híbrido como resultado de interacción entre los productores, una Pyme y la Universidad en una red de proximidad a la que se sumó el Estado como ente financiador con funciones de auditor y regulador.
Una implicancia práctica es que la interinstitucionalidad estuvo aterrizada en las escalas individuales de sus representantes. La dinámica relacional entre agentes individuales resultó un punto de palanca para los resultados tangibles e intangibles alcanzados en el territorio.
La frontera como factor de integración regional. Análisis a partir del caso de la frontera entre Colombia y Perú
Authors: Londoño Niño Edgar Andrés 
Published: May 2023

Este artículo tiene por objetivo resaltar la importancia de la frontera en los procesos de integración regional, haciendo referencia al caso de la frontera entre Colombia y Perú para demostrar la pertinencia de un entendimiento de frontera como factor de integración entre Estados vecinos. En primer lugar, se discutirá el origen y el entendimiento del término frontera. En segundo lugar, se analizará la diferencia entre límite y frontera para, en tercer lugar, abordar la importancia de la frontera como factor de integración y los elementos que soportan y justifican este enfoque. El artículo resalta que, como demuestra el caso de la frontera entre Colombia y Perú, el entendimiento negativo de la frontera debe ser superado por un entendimiento que resalte los factores comunes y la necesidad de establecer procesos de cooperación e integración entre países vecinos para el desarrollo de esas regiones y el bienestar de sus habitantes.
Prediction of COVID-19 Using the Artificial Neural Network (ANN) with K-Fold Cross-Validation
Authors: Alifiah Nur , Kurniasari Dian , Amanto Amanto , Warsono Warsono 
Published: May 2023

Background: COVID-19 is a disease that attacks the respiratory system and is highly contagious, so cases of the spread of COVID-19 are increasing every day. The increase in COVID-19 cases cannot be predicted accurately, resulting in a shortage of services, facilities and medical personnel. This number will always increase if the community is not vigilant and actively reduces the rate of adding confirmed cases. Therefore, public awareness and vigilance need to be increased by presenting information on predictions of confirmed cases, recovered cases, and cases of death of COVID-19 so that it can be used as a reference for the government in taking and establishing a policy to overcome the spread of COVID-19.
Objective: This research predicts COVID-19 in confirmed cases, recovered cases, and death cases in Lampung Province
Method: This study uses the ANN method to determine the best network architecture for predicting confirmed cases, recovered cases, and deaths from COVID-19 using the k-fold cross-validation method to measure predictive model performance.
Results: The method used has a good predictive ability with an accuracy value of 98.22% for confirmed cases, 98.08% for cured cases, and 99.05% for death cases.
Conclusion: The ANN method with k-fold cross-validation to predict confirmed cases, recovered cases, and COVID-19 deaths in Lampung Province decreased from October 27, 2021, to January 24, 2022.

Keywords: Artificial Intelligence, Artificial Neural Network (ANN) K-Fold Cross Validation, COVID-19 Cases, Data Mining, Prediction.
Security Aspect in Software Testing Perspective: A Systematic Literature Review
Authors: Awalurahman Halim Wildan , Witsqa Ibrahim Hafizhan , Raharjana Indra Kharisma , Basori Ahmad Hoirul 
Published: May 2023

Background: Software testing and software security have become one of the most important parts of an application. Many studies have explored each of these topics but there is a gap wherein the relation of software security and software testing in general has not been explored.
Objective: This study aims to conduct a systematic literature review to capture the current state-of-the-art in software testing related to security.
Methods: The search strategy obtains relevant papers from IEEE Xplore and ScienceDirect. The results of the search are filtered by applying inclusion and exclusion criteria.
Results: The search results identified 50 papers. After applying the inclusion/exclusion criteria, we identified 15 primary studies that discuss software security and software testing. We found approaches, aspects, references, and domains that are used in software security and software testing.
Conclusion: We found certain approach, aspect, references, and domain are used more often in software security testing

Keywords: Software security, Software testing, Security testing approach, Security threats, Systematic literature review
MEMS Sensors Driven Scientific Process to Solve Acute Compartment Syndrome
Authors: Merle Geraldine , Parent-Harvey Alexandre , Harvey Edward Joseph 
Published: May 2023

Background	Sensor usage in the classical scientific process has allowed new ex-perimentation in medicine. We report on the design process of a MEMS sensor being used for muscle trauma evaluation in diagnosing acute compartment syndrome (ACS), a medical ailment costing society billions of dollars per year.
Objectives	Modeling the disease with scientific process allows a more complete under-standing of the disease. The goal was to formulate a hypothesis that could be tested to aid in making the diagnosis of ACS accurately.
Methods	Scientific process was observed throughout the disease modelling process. Background information was improved and clarified, new pre-clinical models were de-signed and verified, a hypothesis built on pressure measurement with MEMS sensors was carried out, and the testing of the model as verified against previous clinical data was accomplished.
Results	Scientific process resulted in hypothesis generation around the relationship of intracompartmental pressure measurement and the disease process and therapy. This resulted in new understanding of ACS, accurate modelling, and sensor. Design resulting in a MEMS device that has an extremely high sensitivity and specificity (over 99%) in treating and diagnosing the disease.
Conclusion	MEMS sensor technology defines the new gold standard of implanting a sensor in a muscle compartment that allows accurate diagnosis of ACS with continuous trends in pressure.
Analisis Faktor Konfirmatori Terhadap Skala Cyberloafing Mahasiswa
Authors: Megawati Hermeilia , Rustyawati Reny , Dyah Suryaratri Ratna , Kusumawardhani Sri Juwita 
Published: May 2023

Pelaksanaan pembelajaran jarak jauh secara daring mengakibatkan munculnya perilaku menyimpang pada mahasiswa. Terdapat gejala perilaku mahasiswa yang lalai dalam menggunakan internet untuk tujuan yang tidak berkaitan dengan pembelajaran yang dikenal dengan istilah cyberloafing. Melihat pesatnya perkembangan teknologi, pengukuran perilaku cyberloafing pada mahasiswa perlu terus dikembangkan. Dengan demikian, penelitian ini bertujuan untuk mengembangkan skala cyberloafing pada mahasiswa agar tetap sesuai dengan kondisi terkini.
Berdasarkan kajian literatur yang membahas tentang pengukuran cyberloafing pada mahasiswa, sebuah skala yang terdiri dari 20 item dibuat. Data dikumpulkan dari 506 mahasiswa program sarjana di Jakarta yang memiliki pengalaman belajar jarak jauh secara daring. Data dianalisis menggunakan Confirmatory Factor Analysis (CFA) dengan program JASP. Hasil penelitian ini menunjukkan bahwa model skala cyberloafing pada mahasiswa sesuai dengan teori yang menunjukkan adanya tiga dimensi, yaitu cyberloafing dengan tujuan sosial, cyberloafing dengan tujuan akademis, dan cyberloafing dengan tujuan bermain. Skala ini memiliki model fit yang baik berdasarkan CFI, TLI, RMSEA, SRMR dan GFI.

Kata kunci: analisis faktor konfirmatori; cyberloafing; cyberloafing mahasiswa, skala cyberloafing mahasiswa
Estimation of Kinetic Parameters in Dynamic FDG PET Imaging Based on Shortened Protocols Using Simulated Annealing Method : A virtual clinical study
Authors: Reshtebar Niloofar , Hosseini Seyed Abolfazl , Zhuang Mingzan , Sheikhzadeh Peyman 
Published: May 2023

Abstract
Purpose: This study investigated the estimation of kinetic parameters and production of related parametric Ki images in FDG PET imaging using the proposed shortened protocol (three 3-min routine static images in 20-min, 60-min, and 90-min post injection) by means of the simulated annealing (SA) algorithm.
Methods: Six realistic heterogeneous tumors and various levels of [18F] FDG uptake were simulated by XCAT phantom. An irreversible two-tissue compartment model (2TCM) using population-based input function (PBIF) was employed. The SA optimization algorithm was applied to estimate micro- and macro-parameters (K1, k2, k3, Ki).
Results: A highly significant correlation (> 0.9) as well as limited bias (< 5%) were observed between kinetic parameters generated from two methods (two-tissue compartment full dynamic scan (2TCM-full) and two-tissue compartment by SA algorithm (2TCM-SA)). The analysis showed a strong correlation (> 0.8) between (2TCM-SA) Ki and SUV images. In addition, the tumor-to-background ratio (TBR) metric in the parametric (2TCM-SA) Ki images was significantly higher than SUV, although the SUV images provide better Contrast-to-noise ratio (CNR) relative to parametric (2TCM-SA) Ki images.
Conclusions: Proposed shortened protocol by SA algorithm can estimate the kinetic parameters in FDG PET scan with high accuracy and robustness. It was also concluded that the parametric Ki images obtained from the 2TCM-SA as a complementary image of the SUV possess more quantification information than SUV images and can be used by the nuclear medicine specialist. This method has the potential to be an alternative to a full dynamic PET scan.
Chip-scale, CMOS-compatible, high energy passively Q-switched laser
Authors: Singh Neetesh , Lorenzen Jan , Sinobad Milan , Wang Kai , Liapis Andreas , Frankis Henry , Haugg Stefanie , Francis Henry , Carreira Jose , Geiselmann Michael , Gaafar Mahmoud , Herr Tobias , Bradley Jonathan , Sun Zhipei , García-Blanco Sonia , Kärtner Franz 
Published: May 2023

Abstract
Chip-scale, high-energy optical pulse generation is becoming increasingly important as we expand activities into hard to reach areas such as space and deep ocean. Q-switching of the laser cavity is the best known technique for generating high-energy pulses, and typically such systems are in the realm of large bench-top solid-state lasers and fiber lasers, especially in the long wavelength range >1.8 µm, thanks to their large energy storage capacity. However, in integrated photonics, the very property of tight mode confinement, that enables a small form factor, becomes an impediment to high energy application due to small optical mode cross-section. In this work, we demonstrate complementary metal-oxide-semiconductor (CMOS) compatible, rare-earth gain based large mode area (LMA) passively Q-switched laser in a compact footprint. We demonstrate high on-chip output pulse energy of >150 nJ in single transverse fundamental mode in the eye-safe window (1.9 µm), with a slope efficiency ~ 40% in a footprint of ~9 mm2. The high energy pulse generation demonstrated in this work is comparable or in many cases exceeds Q-switched fiber lasers. This bodes well for field applications in medicine and space.
Fuzzy Information Recognition and Translation Processing in English Interpretation based on Artificial Intelligence Recognition Technology
Authors: Yin Li 
Published: May 2023

Abstract
Interpretation is an oral expression that converts the information heard and understood in the source language into the target language quickly and accurately, thus completing the role of information transmission. However, language contains too much fuzzy information, so it is inevitable to have fuzzy information in interpretation. The characteristics of fuzzy information, the differences between different languages and cultural backgrounds, and the unpredictability of interpretation have brought great challenges to interpretation. This paper proposes an improved generalized maximum likelihood ratio algorithm (GLR) for fuzzy information processing in English. To improve interpretation accuracy, this study analyzes the characteristics of language databases, vocabulary, grammar, and translation. More specifically, the principle of natural language processing research via intelligent recognition technology is introduced in this study. Secondly, the author introduces the role of vague language in oral communication. Then, this paper introduces the fuzzy language processing method via the improved GLR method in detail. Finally, the experimental results are given to verify the effectiveness of the method.
Peer support for people starting dialysis without preparation – a non-randomised controlled feasibility trial
Authors: Wood Eleri , Elias Robert 
Published: May 2023

Abstract
Background
People who present late to specialist renal services miss out on full preparation for dialysis and go on to experience a range of disadvantages including increased mortality and morbidity and reduced treatment options. Because people from black and other ethnic minorities are more likely to present late, these disadvantages drive health inequalities related to ethnicity. Support from peers with lived experience of kidney disease might ameliorate some of these disadvantages. This study aimed to assess the feasibility and investigate the effects of peer support for ‘late presenters’ with a view to informing the design of a randomised controlled trial.
Methods
The study design was a non-randomised pilot trial of four weeks of weekly peer support in addition to standard care for late presenters, using the six months prior to commencement of the intervention as a control comparison phase. All individuals starting maintenance renal replacement therapy (RRT) within 90 days of presentation to the unit were targeted for recruitment. Outcome measures included clinical data, patient reported outcomes, and patient activation.
Results
21 consented to participate giving a recruitment rate of 75%. 100% of recipients of peer support felt it had been useful. 84% were happy with the amount of peer support received despite only 25% receiving the intervention exactly according to protocol. Analysis suggested no differences between intervention groups on clinical or patient reported outcome measures.
Conclusions
This novel study shows that peer support is a feasible intervention for people who start dialysis without preparation. It should be offered at more than one time-point and for flexible duration in order to optimise take up and efficiency. Although this is a feasibility study the results suggest no significant need for further study before widespread adoption of peer support as an intervention for late presenters due to high patient appetite and no evidence of safety concerns.
Trial Registration
ISRCTN63482335 19/04/2023 / IRAS ID: 204510 10/10/2016
Accounting Practices and Fiscal Decentralization's Impact on Corruption: A BRICS Perspective
Authors: Yeboah Benjamin , Appiah Kingsley , Yeboah Michael , Adoma-Worae Thomas , Kponyo Benita Selassie 
Published: May 2023

Abstract
This study builds on the corruption strand literature so espoused in isolation on accounting practice and decentralization, as it recognizes the two variables in conjunction with other key economic indicators from the BRICS economy perspective. Data from the BRICS economies that spanning 2005 to 2018 were analyzed using the panel cointegration estimation technique. The study concluded that resilient accounting practices and decentralization under strong democracy are barriers to corruption in the BRICS countries. However, some prior conclusions attest that quality accounting practices and strong decentralization can facilitate corruption. Our findings elucidate the crucial relevance of improving both accounting practices and fiscal decentralization as feedback mechanisms in reducing corruption. BRICS economies should take advantage of the outcomes of this study by designing appropriate policies that consider strengthening both accounting practices and decentralization as barriers to corruption.
EZH2 inhibition sensitizes retinoic acid-driven senescence in Synovial sarcoma
Authors: Mushtaq Muhammad , Liaño-Pons Judit , Yuan Ye , Ruiz-Pérez María Victoria , Kashuba Elena , Brodin Bertha , Arsenian-Henriksson Marie 
Published: May 2023

Abstract
Synovial sarcoma (SS) is driven by a unique chromosomal translocation t(18;X) leading to expression of the SS18-SSXfusion oncoprotein, a transcriptional regulator with both activating and repressing functions. Here we investigated the role of PRAME (Preferentially Expressed Antigen in Melanoma), a protein highly expressed in SS but with a poorly understood function. PRAME is a repressor of retinoic acid (RA) signaling, forming a complex with RA-receptor (RAR) and Enhancer of Zeste Homolog 2 (EZH2). In silico analyses show that expression of PRAME is associated with suppression of RA signaling in SS. The SS18-SSX fusion protein directly targets the PRAME promoter and expression of SS18-SSX and PRAME are positively correlated. As there are no pharmacological inhibitors against PRAME, we used GSK343 for inhibition of EZH2 in combination with all-trans retinoic acid (ATRA) to reconstitute RA signaling. PRAME formed complexes with EZH2 and RAR, while exposure to GSK343 disrupted the PRAME-EZH2 interaction. Combination treatment with GSK343 and ATRA decreased cell proliferation and resulted in cellular senescence. Knockdown of PRAME suppressed the response to ATRA treatment in SS. Our data connect SS18-SSX with RA signaling and the EZH2 complex, providing insights into how this fusion oncoprotein disrupts normal cellular homeostasis.
Anthropogenic climate change poses a disproportional burden to fetal growth in low- and middle-income countries
Authors: Zhu Zhenghong , Zhang Tuantuan , Benmarhnia Tarik , Chen Xin , Wang Huailin , Wulayin Maimaitiminjiang , Knibbs Luke , Yang Song , Xu Lianlian , Huang Cunrui , Wang Qiong 
Published: May 2023

Abstract
Low- and middle-income countries (LMICs) are vulnerable to climate change and associated extreme temperatures, where the health of pregnant women and fetuses could be particularly affected. However, the extent to which anthropogenic climate change contributes to their health has not been documented. Utilizing 451,252 mother-infant pairs from 31 LMICs during 1990–2014, we show highly robust and spatially-heterogeneous associations between pregnancy extreme temperature exposure and the increased risk of reduced birth weight and low birth weight (LBW). Anthropogenic climate change contributed approximately 68.05%, 86.41%, and 76.79% of extreme heat-related LBWs in Southern Asia, Western Africa, and Eastern Africa, respectively, whereas it reduced extreme cold-related LBWs in Central, Eastern, and Southern Africa. The exposure-response relationship and the contribution from anthropogenic climate change are determined largely by the climate mean states in different regions. Our study provides compelling evidence that anthropogenic climate change disproportionately modulates extreme temperature-related fetal growth in LMICs.