bluuebunny/crossref_metadata_2025_split huggingface dataset:
POWER OF ALIGNMENT: EXPLORING THE EFFECT OF FACE ALIGNMENT ON ASD DIAGNOSIS USING FACIAL IMAGES
Authors: Rashid Muhammad Mahbubur , Alam Mohammad Shafiul 
Published: January 2024

Autism Spectrum Disorder (ASD) is a developmental disorder that impacts social communication and conduct. ASD lacks standard treatment protocols or medication, thus early identification and proper intervention are the most effective procedures to treat this disorder. Artificial intelligence could be a very effective tool to be used in ASD diagnosis as this is free from human bias. This research examines the effect of face alignment for the early diagnosis of Autism Spectrum Disorder (ASD) using facial images with the possibility that face alignment can improve the prediction accuracy of deep learning algorithms. This work uses the SOTA deep learning-based face alignment algorithm MTCNN to preprocess the raw data. In addition, the impacts of facial alignment on ASD diagnosis using facial images are investigated using state-of-the-art CNN backbones such as ResNet50, Xception, and MobileNet. ResNet50V2 achieves the maximum prediction accuracy of 93.97% and AUC of 96.33% with the alignment of training samples, which is a substantial improvement over previous research. This research paves the way for a data-centric approach that can be applied to medical datasets in order to improve the efficacy of deep neural network algorithms used to develop smart medical devices for the benefit of mankind. ABSTRAK: Gangguan Spektrum Autisme (ASD) adalah gangguan perkembangan yang memberi kesan kepada komunikasi dan tingkah laku sosial. Kelemahan dalam rawatan ASD adalah ianya tidak mempunyai protokol rawatan standard atau ubat. Oleh itu pengenalan awal dan campur tangan betul merupakan prosedur paling berkesan bagi merawat gangguan ini. Kecerdasan buatan boleh menjadi alat berkesan bagi diagnosis ASD kerana bebas campur tangan manusia. Penyelidikan ini mengkaji kesan penjajaran muka bagi diagnosis awal ASD menggunakan imej muka dengan kebarangkalian penjajaran muka dapat meningkatkan ketepatan ramalan algoritma pembelajaran mendalam. Kajian ini menggunakan algoritma penjajaran muka MTCNN berasaskan pembelajaran mendalam SOTA bagi pra-proses data mentah. Selain itu, kesan penjajaran muka pada diagnosis ASD menggunakan imej muka disiasat menggunakan CNN terkini seperti ResNet50, Xception dan MobileNet. ResNet50V2 mencapai ketepatan ramalan maksimum sebanyak 93.97% dan AUC 96.33% dengan sampel penjajaran latihan, yang merupakan peningkatan ketara berbanding penyelidikan terdahulu. Kajian ini membuka jalan bagi pendekatan data berpusat yang boleh digunakan pada set data perubatan bagi meningkatkan keberkesanan algoritma rangkaian saraf mendalam dan membangunkan peranti perubatan pintar bermanfaat untuk manusia.
COMPACT CPW 4X4 MIMO ANTENNA FOR WI-FI 6 (IEEE802.11.AX) AND 5G(NR77/NR78/NR79) COMMUNICATIONS
Authors: Salim Noora , Singh Mandeep S. J. , T. Abed Amer 
Published: January 2024

This research proposes a compact 4x4 MIMO coplanar waveguide antenna for 5G NR and Wi-Fi 6 applications. The antenna has a size of 34x32x1.6 mm and operates in the 4.2-7 GHz band. By cutting slots on the ground and radiator, the mutual coupling is reduced to less than -15 dB between adjacent and opposite elements and less than -25 dB between diagonal elements. The antenna achieves good measured gains (3-6 dBi) and efficiency (60%-80%). The proposed antenna is suitable for high-performance wireless communication systems that require a small and low-cost MIMO antenna.
ABSTRAK: Kajian ini mencadangkan antena pandu gelombang yang kompak 4x4 MIMO koplanar bagi aplikasi 5G NR dan Wi-Fi6. Antena ini mempunyai saiz 34x32x1.6 mm dan beroperasi dalam kelompok gelombang 4.2-7 GHz. Dengan memotong slot pada tanah dan radiator, mutual coupling dikurangkan sebanyak -15 dB antara adjasen dan elemen bertentangan dan kurang daripada -25 dB antara elemen diagonal. Antena ini mencapai ukuran terbaik pada gain (3-6 dBi) dan kecekapan (60%-80%). Antena yang dicadangkan ini sesuai bagi sistem komunikasi tanpa wayar berprestasi tinggi yang memerlukan antena kecil dan murah seperti antena MIMO.
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EXTENDABLE HIGH-GAIN DC-DC CONVERTER FOR STORAGE BATTERY AND PHOTOVOLTAIC CELL
Authors: Motakabber S. M. A. , Akter Khadiza , Alam AHM Zahirul , Yusoff Siti Hajar Binti 
Published: January 2024

DC-DC converters with significant gain, ripple-free input current, and shared ground are required to elevate the output voltages of batteries, fuel cells, and Photovoltaic sources. The proposed topology utilizes a solitary switch to control the circuit and it has additional inculpation of a voltage doubler cell at the load side, a switch capacitor cell in the middle, and a quadratic cell at the output side. These cascaded configurations lead to significant voltage gains at moderate duty cycle rates. Additionally, the voltage stress over the power components is negligible, coming in under one-third of the resultant voltage. Moreover, the number of cells at the input and output side can be extended to obtain high voltage according to the requirements of the load. The gain in voltage, efficiency, and normalized voltage stress of the semiconductor elements in the circuit are examined concerning other solutions found in the literature. Eventually, photovoltaic and battery sources were included to analyze the proposed topology to confirm the circuit’s multifaceted functionality. The circuit was developed for 270 W, 440 V output from 36 V input, and a 40 kHz switching pulse was used to drive the switch. The theoretical and simulation analysis states that incorporating photovoltaic and other sources did not deteriorate the transformation efficiency. Simulink and PSIM analysis found that the circuit successfully transferred power from source to load.
ABSTRAK: Penukar DC-DC yang mempunyai gandaan ketara, input arus bebas riak dan pembumi berkongsi penting bagi meningkatkan voltan keluar bateri, sel bahan api dan sumber fotovolta. Topologi yang dicadangkan ini menggunakan suis tersendiri bagi mengawal litar dan ia mengandungi sel pendua voltan tambahan bagi menghentikan arus di bahagian beban, sel suis kapasitor di tengah dan sel kuadratik di bahagian voltan keluar. Konfigurasi berturutan ini membawa kepada gandaan voltan ketara pada kadar kitar tugas sederhana. Tambahan, tekanan voltan ke atas komponen kuasa boleh diabaikan, iaitu satu pertiga daripada voltan terhasil. Selain itu, bilangan sel di bahagian kemasukan dan keluaran arus boleh dilanjutkan bagi mendapatkan voltan tinggi mengikut keperluan beban. Gandaan voltan, kecekapan dan tekanan voltan ternormal pada bahan dalam litar semikonduktor diperiksa dengan menyamai penyelesaian lain yang ditemui dalam kajian terdahulu. Akhirnya, sumber fotovolta dan bateri dimasukkan bagi menganalisis topologi yang dicadangkan bagi mengesahkan fungsi pelbagai rupa litar. Litar yang dibangunkan ini digunakan pada kuasa 270 W, pada aras voltan 440 V dengan kemasukan voltan 36 V dan suis operasi berfrekuensi 40 kHz. Analisis teori dan simulasi menyatakan bahawa gabungan fotovolta dan sumber lain tidak mengurangkan kecekapan transformasi. Analisis Simulink dan PSIM mendapati litar ini berjaya memindahkan 95% kuasa dari sumber kepada beban.
A ORGANIZAÇÃO NA OFERTA E DISTRIBUIÇÃO DOS KITS DE ALIMENTOS DURANTE A PANDEMIA: PANORAMA DAS PESQUISAS NO CONTEXTO DA EDUCAÇÃO PROFISSIONAL E TECNOLÓGICA
Authors: Pinheiro Tânia Terezinha , Santos Daniela Copetti 
Published: January 2024

A Organização Mundial da Saúde (OMS) declarou a pandemia pela COVID-19 e medidas diversas foram tomadas para o controle da doença, dentre elas a suspensão de aulas presenciais, colocando em risco a garantia do direito humano à alimentação escolar na rede pública de ensino. Este estudo elencado através do“Estado do Conhecimento”, realizado através de revisão sistemática utilizou como base de dados a BDTD, CAPES e SCIELO, tendo sido utilizado como marco nos anos de 2020 a 2022. Visou conhecer o que se tem produzido de conhecimento sobre a distribuição de kits de alimentos pela rede federal de ensino, a fim de contribuir para o contexto teórico desta pesquisa. Através da incessante busca em referenciais teóricos verificou-se que não existem estudos específicos sobre o tema e os estudos específicos na área de alimentação escolar são mais restritos ainda. Com certeza temos muito a contribuir nessa área da educação profissional e tecnológica.
O DESAFIO DA INTERDISCIPLINARIDADE NO ENSINO DE CIÊNCIAS CONSIDERANDO OS DOCUMENTOS OFICIAIS
Authors: Oliveira Ana Paula , Fenner Roniere , Menezes Daniela 
Published: January 2024

Resumo: O presente estudo busca investigar as relações dos professores participantes de uma disciplina de pós-graduação de educação em ciências entre os princípios de interdisciplinaridade nos documentos oficiais e suas dificuldades e desafios para trabalhar com essa temática. Para isso, foi enviado um formulário pelo google forms aos participantes, com perguntas voltadas à interdisciplinaridade nos documentos oficiais na escola de educação básica. A pesquisa é de caráter qualitativo e foram analisadas as respostas de dez participantes que optaram em participar do estudo, por meio da Análise Textual Discursiva (ATD). Os resultados apontaram o olhar destes participantes voltados à interdisciplinaridade aliada à BNCC, num viés de potencialidades e dificuldades no âmbito de se realizar na prática o fazer interdisciplinar, nesse sentido, a formação por meio da pós-graduação se mostra um caminho pertinente para a ampliação dos conhecimentos docentes, visando a qualificação na educação em ciências, através de possibilidade voltadas a novas práticas de cunho interdisciplinar na educação básica.

Abstract: The present study seeks to investigate the relationships of professors participating in a postgraduate course in science education between the principles of interdisciplinarity in official documents and their difficulties and challenges in working with this theme. For this, a form was sent via google forms to the participants, with questions aimed at interdisciplinarity in official documents in the basic education school. The research is of a qualitative nature and the responses of ten participants who chose to participate in the study were analyzed through Discursive Textual Analysis (DTA). The results pointed out the perspective of these participants focused on interdisciplinarity allied to the BNCC, in a bias of potentialities and difficulties in the context of carrying out interdisciplinary actions in practice, in this sense, training through postgraduate studies is a relevant path for expanding of teaching knowledge, aiming at qualification in science education, through possibilities aimed at new practices of an interdisciplinary nature in basic education.
DEL FALLIDO MODELO DE LA INCLUSIÓN POR NECESIDAD AL FRACASO DE LA EXCLUSIÓN POR CAPACIDAD
Authors: Gutiérrez Miguel Francisco 
Published: January 2024

En el desarrollo humano, la expansión de las capacidades individuales está intrínsecamente vinculada a las condiciones regulatorias en un contexto territorial. Las instituciones
desempeñan un papel crucial al construir incentivos y permitir el despliegue a lo largo del tiempo de las capacidades sociales. En particular, el acceso a la educación y la salud son vectores fundamentales que determinan las posibilidades a largo plazo de los actores. El artículo se propone presentar una aproximación a dos modelos morales de inclusión social. Por un lado, se explora la interpretación que busca garantizar la inclusión en función de las diversas necesidades, respaldada por la multiplicidad de deseos propios de la posmodernidad. Por otro lado, se examina una perspectiva que enfatiza el acceso al mercado a través de competencias, donde la eficiencia determina la asignación de bienes y servicios. Estos enfoques se confrontan en relación con la variable que condiciona el equilibrio a largo plazo: la demanda para la inclusión y la oferta para la eficiencia. En el contexto post-pandemia, las políticas públicas dependerán de la correcta identificación de objetivos para conformar una sociedad de libertad, igualdad y fraternidad. El trabajo no busca realizar un análisis exhaustivo del devenir histórico de estas aproximaciones, sino recuperar sus características principales y destacar la relevancia de sus dinámicas dialécticas en los procesos sociales y económicos. Aunque la coyuntura actual limita la visión completa de sus dinámicas, estudiar los principios de ambas aproximaciones proporciona herramientas para evaluar los acuerdos sociales que conforman los mecanismos de inclusión e igualdad.
Impact of augmented reality fiber tractography on the extent of resection and functional outcome of primary motor area tumors
Authors: Luzzi Sabino , Simoncelli Anna , Galzio Renato 
Published: January 2024

OBJECTIVE
This study aimed to evaluate the impact of augmented reality intraoperative fiber tractography (AR-iFT) on extent of resection (EOR), motor functional outcome, and survival of patients with primary motor area (M1) intra-axial malignant tumors.

METHODS
Data obtained from patients who underwent AR-iFT for M1 primary tumors were retrospectively analyzed and compared with those from a control group who underwent unaugmented reality intraoperative fiber tractography (unAR-iFT). A full asleep procedure with electrical stimulation mapping and fluorescein guidance was performed in both groups. The Neurological Assessment in Neuro-Oncology (NANO), Medical Research Council (MRC), and House-Brackmann grading systems were used for neurological, motor, and facial nerve assessment, respectively. Three-month postoperative NANO and MRC scores were used as outcome measures of the safety of the technique, whereas EOR and survival curves were related to its cytoreductive efficacy. In this study, p < 0.05 indicated statistical significance.

RESULTS
This study included 34 and 31 patients in the AR-iFT and unAR-iFT groups, respectively. The intraoperative seizure rate, 3-month postoperative NANO score, and 1-week and 1-month MRC scores were significantly (p < 0.05) different and in favor of the AR-iFT group. However, no difference was observed in the rate of complications. Glioma had incidence rates of 58.9% and 51.7% in the study and control groups, respectively, with no statistical difference. Metastasis had a slightly higher incidence rate in the control group, without statistical significance, and the gross-total resection and near-total resection rates and progression-free survival (PFS) rate were higher in the study group. Overall survival was not affected by the technique.

CONCLUSIONS
AR-iFT proved to be feasible, effective, and safe during surgery for M1 tumors and positively affected the EOR, intraoperative seizure rate, motor outcome, and PFS. Integration with electrical stimulation mapping is critical to achieve constant anatomo-functional intraoperative feedback. The accuracy of AR-iFT is intrinsically limited by diffusion tensor–based techniques, parallax error, and fiber tract crowding. Further studies are warranted to definitively validate the benefits of augmented reality navigation in this surgical scenario.
Improving mixed-reality neuronavigation with blue-green light: a comparative multimodal laboratory study
Authors: Marrone Salvatore , Scalia Gianluca , Strigari Lidia , Ranganathan Sruthi , Travali Mario , Maugeri Rosario , Costanzo Roberta , Brunasso Lara , Bonosi Lapo , Cicero Salvatore , Iacopino Domenico Gerardo , Salvati Maurizio , Umana Giuseppe Emanuele 
Published: January 2024

OBJECTIVE
This study aimed to rigorously assess the accuracy of mixed-reality neuronavigation (MRN) in comparison with magnetic neuronavigation (MN) through a comprehensive phantom-based experiment. It introduces a novel dimension by examining the influence of blue-green light (BGL) on MRN accuracy, a previously unexplored avenue in this domain.

METHODS
Twenty-nine phantoms, each meticulously marked with 5–6 fiducials, underwent CT scans as part of the navigation protocol. A 3D model was then superimposed onto a 3D-printed plaster skull using a semiautomatic registration process. The study meticulously evaluated the accuracy of both navigation techniques by pinpointing specific markers on the plaster surface. Precise measurements were then taken using digital calipers, with navigation conducted under three distinct lighting conditions: indirect white light (referred to as no light [NL]), direct white light (WL), and BGL. The research enlisted two operators with distinct levels of experience, one senior and one junior, to ensure a comprehensive analysis. The study was structured into two distinct experiments (experiment 1 [MN] and experiment 2 [MRN]) conducted by the two operators. Data analysis focused on calculating average and median values within subgroups, considering variables such as the type of lighting, precision, and recording time.

RESULTS
In experiment 1, no statistically significant differences emerged between the two operators. However, in experiment 2, notable disparities became apparent, with the senior operator recording longer times but achieving higher precision. Most significantly, BGL consistently demonstrated a capacity to enhance accuracy in MRN across both experiments.

CONCLUSIONS
This study demonstrated the substantial positive influence of BGL on MRN accuracy, providing profound implications for the design and implementation of mixed-reality systems. It also emphasized that integrating BGL into mixed-reality environments could profoundly improve user experience and performance. Further research is essential to validate these findings in real-world settings and explore the broader potential of BGL in a variety of mixed-reality applications.
Combined use of 3D printing and mixed reality technology for neurosurgical training: getting ready for brain surgery
Authors: Jeising Sebastian , Liu Shufang , Blaszczyk Timo , Rapp Marion , Beez Thomas , Cornelius Jan F. , Schwerter Michael , Sabel Michael 
Published: January 2024

OBJECTIVE
Learning surgical skills is an essential part of neurosurgical training. Ideally, these skills are acquired to a sufficient extent in an ex vivo setting. The authors previously described an in vitro brain tumor model, consisting of a cadaveric animal brain injected with fluorescent agar-agar, for acquiring a wide range of basic neuro-oncological skills. This model focused on haptic skills such as safe tissue ablation technique and the training of fluorescence-based resection. As important didactical technologies such as mixed reality and 3D printing become more readily available, the authors developed a readily available training model that integrates the haptic aspects into a mixed reality setup.

METHODS
The anatomical structures of a brain tumor patient were segmented from medical imaging data to create a digital twin of the case. Bony structures were 3D printed and combined with the in vitro brain tumor model. The segmented structures were visualized in mixed reality headsets, and the congruence of the printed and the virtual objects allowed them to be spatially superimposed. In this way, users of the system were able to train on the entire treatment process from surgery planning to instrument preparation and execution of the surgery.

RESULTS
Mixed reality visualization in the joint model facilitated model (patient) positioning as well as craniotomy and the extent of resection planning respecting case-dependent specifications. The advanced physical model allowed brain tumor surgery training including skin incision; craniotomy; dural opening; fluorescence-guided tumor resection; and dura, bone, and skin closure.

CONCLUSIONS
Combining mixed reality visualization with the corresponding 3D printed physical hands-on model allowed advanced training of sequential brain tumor resection skills. Three-dimensional printing technology facilitates the production of a precise, reproducible, and worldwide accessible brain tumor surgery model. The described model for brain tumor resection advanced regarding important aspects of skills training for neurosurgical residents (e.g., locating the lesion, head position planning, skull trepanation, dura opening, tissue ablation techniques, fluorescence-guided resection, and closure). Mixed reality enriches the model with important structures that are difficult to model (e.g., vessels and fiber tracts) and advanced interaction concepts (e.g., craniotomy simulations). Finally, this concept demonstrates a bridging technology toward intraoperative application of mixed reality.
Mixed reality for spine surgery: a step into the future with a human cadaveric accuracy study
Authors: Winkler Dirk , Kropla Fabian , Busse Michel , Jung Svenja , Scholz Sebastian , Güresir Erdem , Gericke Martin , Vychopen Martin , Wach Johannes , Grunert Ronny 
Published: January 2024

OBJECTIVE
Current application of mixed reality as a navigation aid in the field of spinal navigation points to the potential of this technology in spine surgery. Crucial factors for acceptance include intuitive workflow, system stability, reliability, and accuracy of the method. The authors therefore aimed to investigate the accuracy of the system in visualization of anatomical structures using mixed reality in the example of pedicles of the thoracic spine in a human cadaveric study. Potential difficulties and limitations are discussed.

METHODS
CT scans of a human cadaveric spinal column specimen were performed. After segmentation and import into the advanced HoloLens 2 software, the vertebrae were exposed. The vertebral arches were preserved on one side for a landmark-based surface registration, whereas pedicles were exposed on the other side in order to measure and evaluate deviation of the overlay holographs with regard to the exact anatomical structure. Accuracy was measured and statistically evaluated.

RESULTS
In this work it was demonstrated that the overlay of the virtual 3D model pedicles with the real anatomical structures with anatomical landmark registration was within an acceptable surgical accuracy with the mean value of 2.1 mm (maximum 3.8 mm, minimum 1.2 mm). The highest accuracy was registered at the medial and lateral pedicle wall, and the measurement results were best in the region of the middle thoracic spine.

CONCLUSIONS
The accuracy analysis for mixed reality (i.e., between the virtual and real anatomical situation of the thoracic spine) showed a very good agreement when focus was on the pedicles. This work is thus a rare proof of the precision of segmentation to the potential surgical area. The results encourage researchers to open up mixed reality technology in its development and application for spinal navigation.